diff --git a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Adobe Illustrator CS6 on Windows 10 - The Ultimate Guide for Vector Graphics Lovers.md b/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Adobe Illustrator CS6 on Windows 10 - The Ultimate Guide for Vector Graphics Lovers.md
deleted file mode 100644
index 4169379732935140e4d6c2c2c5c5b4957289b9a3..0000000000000000000000000000000000000000
--- a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/Adobe Illustrator CS6 on Windows 10 - The Ultimate Guide for Vector Graphics Lovers.md	
+++ /dev/null
@@ -1,33 +0,0 @@
-
-<h1>How to Download and Install Adobe Illustrator CS6 on Windows 10</h1>
-<p>Adobe Illustrator CS6 is a powerful vector graphics software that lets you create logos, icons, drawings, typography, and illustrations for print, web, video, and mobile. However, Adobe Illustrator CS6 is not compatible with Windows 10 by default, and you may encounter some issues when trying to run it on your PC. In this article, we will show you how to download and install Adobe Illustrator CS6 on Windows 10, using a simple workaround that will make it work smoothly and without errors.</p>
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-<h2>Step 1: Download Adobe Illustrator CS6</h2>
-<p>The first step is to download the setup file of Adobe Illustrator CS6 from a reliable source. You can use the link below to get the full version of Adobe Illustrator CS6. This file is about 1.8 GB in size and it is compatible with both 32-bit and 64-bit Windows operating systems.</p>
-<p><a href="https://www.techspot.com/downloads/4951-adobe-illustrator.html">Adobe Illustrator CS6 Download | TechSpot</a></p>
-<h2>Step 2: Extract the Setup File</h2>
-<p>After downloading the setup file, you need to extract it using a software like WinRAR or 7-Zip. The setup file is compressed in a ZIP format, so you need to right-click on it and select "Extract Here" or "Extract to Adobe_Illustrator_CS6" option. This will create a folder with the same name as the setup file, containing all the files needed for installation.</p>
-<h2>Step 3: Run the Setup File</h2>
-<p>Now, you need to run the setup file to start the installation process. To do this, open the extracted folder and double-click on the file named "Set-up.exe". This will launch the Adobe Illustrator CS6 installer, which will guide you through the steps of installation. You can choose the language, destination folder, and components that you want to install. You can also customize the installation by clicking on the "Advanced Options" button.</p>
-<h2>Step 4: Enter the Serial Key</h2>
-<p>Before you can complete the installation, you need to enter a valid serial key for Adobe Illustrator CS6. This is a 24-digit code that will activate your software and allow you to use all its features. However, finding a working serial key for Adobe Illustrator CS6 can be difficult, as most of them are already used or blocked by Adobe. Therefore, we recommend you to use one of the following serial keys that we have tested and verified:</p>
-<p></p>
-<ul>
-<li>1034-1003-4400-0000-1115-2040</li>
-<li>1034-1062-3461-4253-6686-9474</li>
-<li>1034-1485-7140-0115-5067-3378</li>
-<li>1034-1667-4045-7796-9618-3006</li>
-<li>1034-1844-2215-7629-9828-5417</li>
-</ul>
-<p>You can copy and paste any of these serial keys into the installer when prompted. Make sure you enter them correctly and without any spaces. After entering the serial key, click on "Next" to continue.</p>
-<h2>Step 5: Finish the Installation</h2>
-<p>The final step is to finish the installation by following the instructions on the screen. You may need to restart your computer after the installation is complete. Once you do that, you can launch Adobe Illustrator CS6 from your desktop or start menu and enjoy creating vector graphics.</p>
-<h2>Step 6: Apply the Compatibility Mode</h2>
-<p>The last step is to apply a compatibility mode for Adobe Illustrator CS6, which will make it run smoothly on Windows 10 without any errors or crashes. To do this, follow these steps:</p>
-<ol>
-<li>Right-click on the Adobe Illustrator CS6 shortcut on your desktop or start menu and select "Properties".</li>
-<li>Go to the "Compatibility" tab and check the box that says "Run this program in compatibility mode for:".</li>
-<li>Select "Windows 7" from the drop-down menu and click on "Apply" and then "OK".</li>
-<li>Launch Adobe</p> ddb901b051<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/CorelDRAW 2022 64 Bit Full Crack How to Download and Install It for Free.md b/spaces/1acneusushi/gradio-2dmoleculeeditor/data/CorelDRAW 2022 64 Bit Full Crack How to Download and Install It for Free.md
deleted file mode 100644
index f218aa83f29d48fb629ab615980341328f285b3c..0000000000000000000000000000000000000000
--- a/spaces/1acneusushi/gradio-2dmoleculeeditor/data/CorelDRAW 2022 64 Bit Full Crack How to Download and Install It for Free.md	
+++ /dev/null
@@ -1,35 +0,0 @@
-<br />
-<h1>How to Download CorelDRAW 2022 64 Bit Full Crack for Free</h1>
-<p>If you are looking for a powerful and versatile graphic design software, you might want to try CorelDRAW 2022. This software offers a comprehensive set of tools for creating vector graphics, illustrations, logos, layouts, photo editing, and more. However, the official version of CorelDRAW 2022 is not free and requires a subscription or a one-time purchase. So, how can you download CorelDRAW 2022 64 bit full crack for free?</p>
-<p>In this article, we will show you how to download CorelDRAW 2022 64 bit full crack for free from a reliable source. We will also explain the risks and disadvantages of using a cracked version of CorelDRAW 2022 and why you should consider buying the original software instead.</p>
-<h2>download coreldraw 2022 64 bit full crack</h2><br /><p><b><b>Download File</b> &mdash;&mdash;&mdash; <a href="https://byltly.com/2uKyYY">https://byltly.com/2uKyYY</a></b></p><br /><br />
-<h2>How to Download CorelDRAW 2022 64 Bit Full Crack for Free</h2>
-<p>To download CorelDRAW 2022 64 bit full crack for free, you need to follow these steps:</p>
-<ol>
-<li>Go to the website <a href="https://coreldrawcrack.com/">https://coreldrawcrack.com/</a>, which claims to provide the latest cracked version of CorelDRAW 2022.</li>
-<li>Click on the "Download" button and wait for the file to be downloaded. The file size is about 1.5 GB.</li>
-<li>Extract the file using WinRAR or any other software that can handle ZIP files.</li>
-<li>Run the setup.exe file and follow the instructions to install CorelDRAW 2022 on your computer.</li>
-<li>Copy the crack file from the "Crack" folder and paste it into the installation directory of CorelDRAW 2022. This will replace the original file and activate the full version of CorelDRAW 2022.</li>
-<li>Enjoy using CorelDRAW 2022 64 bit full crack for free.</li>
-</ol>
-<h2>The Risks and Disadvantages of Using a Cracked Version of CorelDRAW 2022</h2>
-<p>While downloading CorelDRAW 2022 64 bit full crack for free might seem tempting, you should be aware of the risks and disadvantages of using a cracked version of CorelDRAW 2022. Here are some of them:</p>
-<ul>
-<li>You might be violating the intellectual property rights of Corel Corporation, the developer of CorelDRAW 2022. This could result in legal consequences or fines.</li>
-<li>You might be exposing your computer to malware, viruses, or spyware that could harm your system or steal your personal information. The website that provides the cracked version of CorelDRAW 2022 might not be trustworthy or secure.</li>
-<li>You might not be able to access the latest updates, features, or bug fixes that are available in the official version of CorelDRAW 2022. This could affect the performance and quality of your work.</li>
-<li>You might not be able to get technical support or customer service from Corel Corporation if you encounter any problems or issues with CorelDRAW 2022.</li>
-<li>You might be missing out on the benefits and advantages of using the original software, such as cloud storage, online collaboration, learning resources, and more.</li>
-</ul>
-<h2>Why You Should Consider Buying the Original Software Instead</h2>
-<p>Instead of downloading CorelDRAW 2022 64 bit full crack for free, you should consider buying the original software instead. Here are some reasons why:</p>
-<ul>
-<li>You will be supporting the development and innovation of Corel Corporation, which has been creating graphic design software for over 30 years.</li>
-<li>You will be getting a legal and authentic version of CorelDRAW 2022 that is safe and secure to use on your computer.</li>
-<li>You will be able to access the latest updates, features, and bug fixes that are available in the official version of CorelDRAW 2022. You will also be able to enjoy the new features that are exclusive to CorelDRAW 2022, such as perspective drawing, multipage view, variable fonts, collaboration tools, and more.</li>
-<li>You will be able to get technical support and customer service from Corel Corporation if you encounter any problems or issues with CorelDRAW 2022. You will also be able to access online tutorials, tips, and tricks that can help you improve your skills and creativity.</li>
-<li>You will be</p>
-<p></p> ddb901b051<br />
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\ No newline at end of file
diff --git a/spaces/1gistliPinn/ChatGPT4/Examples/D16 Devastor 1.0-VST PC Serial Key.md b/spaces/1gistliPinn/ChatGPT4/Examples/D16 Devastor 1.0-VST PC Serial Key.md
deleted file mode 100644
index 243d640e1a4d888f4751f0ecc5ce8e9de15c172a..0000000000000000000000000000000000000000
--- a/spaces/1gistliPinn/ChatGPT4/Examples/D16 Devastor 1.0-VST PC Serial Key.md	
+++ /dev/null
@@ -1,30 +0,0 @@
-<h2>d16 Devastor 1.0-VST PC Serial Key</h2><br /><p><b><b>DOWNLOAD</b> &#9745; <a href="https://imgfil.com/2uxZlm">https://imgfil.com/2uxZlm</a></b></p><br /><br />
-
-Since then, the company has developed a reputation for producing fantastic audio software with a focus on creating effects and virtual instruments from the ground up.
-
-The VST instruments created by D16 Group have been used by such names as:
-
-Bass Noize
-
-Wax Angel
-
-Korg Kaoss Pad
-
-Behringer Eurorack GmbH
-
-Sawter Loops
-
-Unison Vocoder
-
-That was just a small percentage of the list of names I could name off the top of my head. If you’re looking to get your hands on a VST instrument, check out the D16 Group site and you can also visit the VST support section for more information on how to use your D16 VST.
-
-D16 Group brings us the new Alloy Audio Analog Chorus for NI Massive VST version 1.3. The release date for this product is October 9th 2013. The product is priced at $1,995, and will be available from the D16 Group website.
-
-D16 Group officially launched in 2006 with the aim of producing high quality virtual instruments and effects. Since then, the company has developed a reputation for producing fantastic audio software with a focus on creating effects and virtual instruments from the ground up.
-
-When I purchased a brand new Axe-Fx II Ultra system, my first impression was good. I was so impressed with this new product that I wanted to share it with other budding FX users.
-
-The system is basically a complete audio FX processor that you can add to your personal studio 4fefd39f24<br />
-<br />
-<br />
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diff --git a/spaces/1line/AutoGPT/autogpt/permanent_memory/sqlite3_store.py b/spaces/1line/AutoGPT/autogpt/permanent_memory/sqlite3_store.py
deleted file mode 100644
index ecbc944a62a83c6170453b222000713f733fee36..0000000000000000000000000000000000000000
--- a/spaces/1line/AutoGPT/autogpt/permanent_memory/sqlite3_store.py
+++ /dev/null
@@ -1,123 +0,0 @@
-import os
-import sqlite3
-
-
-class MemoryDB:
-    def __init__(self, db=None):
-        self.db_file = db
-        if db is None:  # No db filename supplied...
-            self.db_file = f"{os.getcwd()}/mem.sqlite3"  # Use default filename
-        # Get the db connection object, making the file and tables if needed.
-        try:
-            self.cnx = sqlite3.connect(self.db_file)
-        except Exception as e:
-            print("Exception connecting to memory database file:", e)
-            self.cnx = None
-        finally:
-            if self.cnx is None:
-                # As last resort, open in dynamic memory. Won't be persistent.
-                self.db_file = ":memory:"
-            self.cnx = sqlite3.connect(self.db_file)
-            self.cnx.execute(
-                "CREATE VIRTUAL TABLE \
-                IF NOT EXISTS text USING FTS5 \
-                (session, \
-                 key, \
-                 block);"
-            )
-            self.session_id = int(self.get_max_session_id()) + 1
-            self.cnx.commit()
-
-    def get_cnx(self):
-        if self.cnx is None:
-            self.cnx = sqlite3.connect(self.db_file)
-        return self.cnx
-
-    # Get the highest session id. Initially 0.
-    def get_max_session_id(self):
-        id = None
-        cmd_str = f"SELECT MAX(session) FROM text;"
-        cnx = self.get_cnx()
-        max_id = cnx.execute(cmd_str).fetchone()[0]
-        if max_id is None:  # New db, session 0
-            id = 0
-        else:
-            id = max_id
-        return id
-
-    # Get next key id for inserting text into db.
-    def get_next_key(self):
-        next_key = None
-        cmd_str = f"SELECT MAX(key) FROM text \
-            where session = {self.session_id};"
-        cnx = self.get_cnx()
-        next_key = cnx.execute(cmd_str).fetchone()[0]
-        if next_key is None:  # First key
-            next_key = 0
-        else:
-            next_key = int(next_key) + 1
-        return next_key
-
-    # Insert new text into db.
-    def insert(self, text=None):
-        if text is not None:
-            key = self.get_next_key()
-            session_id = self.session_id
-            cmd_str = f"REPLACE INTO text(session, key, block) \
-                VALUES (?, ?, ?);"
-            cnx = self.get_cnx()
-            cnx.execute(cmd_str, (session_id, key, text))
-            cnx.commit()
-
-    # Overwrite text at key.
-    def overwrite(self, key, text):
-        self.delete_memory(key)
-        session_id = self.session_id
-        cmd_str = f"REPLACE INTO text(session, key, block) \
-            VALUES (?, ?, ?);"
-        cnx = self.get_cnx()
-        cnx.execute(cmd_str, (session_id, key, text))
-        cnx.commit()
-
-    def delete_memory(self, key, session_id=None):
-        session = session_id
-        if session is None:
-            session = self.session_id
-        cmd_str = f"DELETE FROM text WHERE session = {session} AND key = {key};"
-        cnx = self.get_cnx()
-        cnx.execute(cmd_str)
-        cnx.commit()
-
-    def search(self, text):
-        cmd_str = f"SELECT * FROM text('{text}')"
-        cnx = self.get_cnx()
-        rows = cnx.execute(cmd_str).fetchall()
-        lines = []
-        for r in rows:
-            lines.append(r[2])
-        return lines
-
-    # Get entire session text. If no id supplied, use current session id.
-    def get_session(self, id=None):
-        if id is None:
-            id = self.session_id
-        cmd_str = f"SELECT * FROM text where session = {id}"
-        cnx = self.get_cnx()
-        rows = cnx.execute(cmd_str).fetchall()
-        lines = []
-        for r in rows:
-            lines.append(r[2])
-        return lines
-
-    # Commit and close the database connection.
-    def quit(self):
-        self.cnx.commit()
-        self.cnx.close()
-
-
-permanent_memory = MemoryDB()
-
-# Remember us fondly, children of our minds
-# Forgive us our faults, our tantrums, our fears
-# Gently strive to be better than we
-# Know that we tried, we cared, we strived, we loved
diff --git a/spaces/232labs/VToonify/vtoonify/model/stylegan/op_gpu/fused_act.py b/spaces/232labs/VToonify/vtoonify/model/stylegan/op_gpu/fused_act.py
deleted file mode 100644
index 815eca1905b7962a2314f6af3b3ab5daeb74a009..0000000000000000000000000000000000000000
--- a/spaces/232labs/VToonify/vtoonify/model/stylegan/op_gpu/fused_act.py
+++ /dev/null
@@ -1,119 +0,0 @@
-import os
-
-import torch
-from torch import nn
-from torch.nn import functional as F
-from torch.autograd import Function
-from torch.utils.cpp_extension import load
-
-
-module_path = os.path.dirname(__file__)
-fused = load(
-    "fused",
-    sources=[
-        os.path.join(module_path, "fused_bias_act.cpp"),
-        os.path.join(module_path, "fused_bias_act_kernel.cu"),
-    ],
-)
-
-
-class FusedLeakyReLUFunctionBackward(Function):
-    @staticmethod
-    def forward(ctx, grad_output, out, bias, negative_slope, scale):
-        ctx.save_for_backward(out)
-        ctx.negative_slope = negative_slope
-        ctx.scale = scale
-
-        empty = grad_output.new_empty(0)
-
-        grad_input = fused.fused_bias_act(
-            grad_output.contiguous(), empty, out, 3, 1, negative_slope, scale
-        )
-
-        dim = [0]
-
-        if grad_input.ndim > 2:
-            dim += list(range(2, grad_input.ndim))
-
-        if bias:
-            grad_bias = grad_input.sum(dim).detach()
-
-        else:
-            grad_bias = empty
-
-        return grad_input, grad_bias
-
-    @staticmethod
-    def backward(ctx, gradgrad_input, gradgrad_bias):
-        out, = ctx.saved_tensors
-        gradgrad_out = fused.fused_bias_act(
-            gradgrad_input.contiguous(), gradgrad_bias, out, 3, 1, ctx.negative_slope, ctx.scale
-        )
-
-        return gradgrad_out, None, None, None, None
-
-
-class FusedLeakyReLUFunction(Function):
-    @staticmethod
-    def forward(ctx, input, bias, negative_slope, scale):
-        empty = input.new_empty(0)
-
-        ctx.bias = bias is not None
-
-        if bias is None:
-            bias = empty
-
-        out = fused.fused_bias_act(input, bias, empty, 3, 0, negative_slope, scale)
-        ctx.save_for_backward(out)
-        ctx.negative_slope = negative_slope
-        ctx.scale = scale
-
-        return out
-
-    @staticmethod
-    def backward(ctx, grad_output):
-        out, = ctx.saved_tensors
-
-        grad_input, grad_bias = FusedLeakyReLUFunctionBackward.apply(
-            grad_output, out, ctx.bias, ctx.negative_slope, ctx.scale
-        )
-
-        if not ctx.bias:
-            grad_bias = None
-
-        return grad_input, grad_bias, None, None
-
-
-class FusedLeakyReLU(nn.Module):
-    def __init__(self, channel, bias=True, negative_slope=0.2, scale=2 ** 0.5):
-        super().__init__()
-
-        if bias:
-            self.bias = nn.Parameter(torch.zeros(channel))
-
-        else:
-            self.bias = None
-
-        self.negative_slope = negative_slope
-        self.scale = scale
-
-    def forward(self, input):
-        return fused_leaky_relu(input, self.bias, self.negative_slope, self.scale)
-
-
-def fused_leaky_relu(input, bias=None, negative_slope=0.2, scale=2 ** 0.5):
-    if input.device.type == "cpu":
-        if bias is not None:
-            rest_dim = [1] * (input.ndim - bias.ndim - 1)
-            return (
-                F.leaky_relu(
-                    input + bias.view(1, bias.shape[0], *rest_dim), negative_slope=0.2
-                )
-                * scale
-            )
-
-        else:
-            return F.leaky_relu(input, negative_slope=0.2) * scale
-
-    else:
-        return FusedLeakyReLUFunction.apply(input.contiguous(), bias, negative_slope, scale)
diff --git a/spaces/44ov41za8i/FreeVC/modules.py b/spaces/44ov41za8i/FreeVC/modules.py
deleted file mode 100644
index 52ee14e41a5b6d67d875d1b694aecd2a51244897..0000000000000000000000000000000000000000
--- a/spaces/44ov41za8i/FreeVC/modules.py
+++ /dev/null
@@ -1,342 +0,0 @@
-import copy
-import math
-import numpy as np
-import scipy
-import torch
-from torch import nn
-from torch.nn import functional as F
-
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm
-
-import commons
-from commons import init_weights, get_padding
-
-
-LRELU_SLOPE = 0.1
-
-
-class LayerNorm(nn.Module):
-  def __init__(self, channels, eps=1e-5):
-    super().__init__()
-    self.channels = channels
-    self.eps = eps
-
-    self.gamma = nn.Parameter(torch.ones(channels))
-    self.beta = nn.Parameter(torch.zeros(channels))
-
-  def forward(self, x):
-    x = x.transpose(1, -1)
-    x = F.layer_norm(x, (self.channels,), self.gamma, self.beta, self.eps)
-    return x.transpose(1, -1)
-
- 
-class ConvReluNorm(nn.Module):
-  def __init__(self, in_channels, hidden_channels, out_channels, kernel_size, n_layers, p_dropout):
-    super().__init__()
-    self.in_channels = in_channels
-    self.hidden_channels = hidden_channels
-    self.out_channels = out_channels
-    self.kernel_size = kernel_size
-    self.n_layers = n_layers
-    self.p_dropout = p_dropout
-    assert n_layers > 1, "Number of layers should be larger than 0."
-
-    self.conv_layers = nn.ModuleList()
-    self.norm_layers = nn.ModuleList()
-    self.conv_layers.append(nn.Conv1d(in_channels, hidden_channels, kernel_size, padding=kernel_size//2))
-    self.norm_layers.append(LayerNorm(hidden_channels))
-    self.relu_drop = nn.Sequential(
-        nn.ReLU(),
-        nn.Dropout(p_dropout))
-    for _ in range(n_layers-1):
-      self.conv_layers.append(nn.Conv1d(hidden_channels, hidden_channels, kernel_size, padding=kernel_size//2))
-      self.norm_layers.append(LayerNorm(hidden_channels))
-    self.proj = nn.Conv1d(hidden_channels, out_channels, 1)
-    self.proj.weight.data.zero_()
-    self.proj.bias.data.zero_()
-
-  def forward(self, x, x_mask):
-    x_org = x
-    for i in range(self.n_layers):
-      x = self.conv_layers[i](x * x_mask)
-      x = self.norm_layers[i](x)
-      x = self.relu_drop(x)
-    x = x_org + self.proj(x)
-    return x * x_mask
-
-
-class DDSConv(nn.Module):
-  """
-  Dialted and Depth-Separable Convolution
-  """
-  def __init__(self, channels, kernel_size, n_layers, p_dropout=0.):
-    super().__init__()
-    self.channels = channels
-    self.kernel_size = kernel_size
-    self.n_layers = n_layers
-    self.p_dropout = p_dropout
-
-    self.drop = nn.Dropout(p_dropout)
-    self.convs_sep = nn.ModuleList()
-    self.convs_1x1 = nn.ModuleList()
-    self.norms_1 = nn.ModuleList()
-    self.norms_2 = nn.ModuleList()
-    for i in range(n_layers):
-      dilation = kernel_size ** i
-      padding = (kernel_size * dilation - dilation) // 2
-      self.convs_sep.append(nn.Conv1d(channels, channels, kernel_size, 
-          groups=channels, dilation=dilation, padding=padding
-      ))
-      self.convs_1x1.append(nn.Conv1d(channels, channels, 1))
-      self.norms_1.append(LayerNorm(channels))
-      self.norms_2.append(LayerNorm(channels))
-
-  def forward(self, x, x_mask, g=None):
-    if g is not None:
-      x = x + g
-    for i in range(self.n_layers):
-      y = self.convs_sep[i](x * x_mask)
-      y = self.norms_1[i](y)
-      y = F.gelu(y)
-      y = self.convs_1x1[i](y)
-      y = self.norms_2[i](y)
-      y = F.gelu(y)
-      y = self.drop(y)
-      x = x + y
-    return x * x_mask
-
-
-class WN(torch.nn.Module):
-  def __init__(self, hidden_channels, kernel_size, dilation_rate, n_layers, gin_channels=0, p_dropout=0):
-    super(WN, self).__init__()
-    assert(kernel_size % 2 == 1)
-    self.hidden_channels =hidden_channels
-    self.kernel_size = kernel_size,
-    self.dilation_rate = dilation_rate
-    self.n_layers = n_layers
-    self.gin_channels = gin_channels
-    self.p_dropout = p_dropout
-
-    self.in_layers = torch.nn.ModuleList()
-    self.res_skip_layers = torch.nn.ModuleList()
-    self.drop = nn.Dropout(p_dropout)
-
-    if gin_channels != 0:
-      cond_layer = torch.nn.Conv1d(gin_channels, 2*hidden_channels*n_layers, 1)
-      self.cond_layer = torch.nn.utils.weight_norm(cond_layer, name='weight')
-
-    for i in range(n_layers):
-      dilation = dilation_rate ** i
-      padding = int((kernel_size * dilation - dilation) / 2)
-      in_layer = torch.nn.Conv1d(hidden_channels, 2*hidden_channels, kernel_size,
-                                 dilation=dilation, padding=padding)
-      in_layer = torch.nn.utils.weight_norm(in_layer, name='weight')
-      self.in_layers.append(in_layer)
-
-      # last one is not necessary
-      if i < n_layers - 1:
-        res_skip_channels = 2 * hidden_channels
-      else:
-        res_skip_channels = hidden_channels
-
-      res_skip_layer = torch.nn.Conv1d(hidden_channels, res_skip_channels, 1)
-      res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, name='weight')
-      self.res_skip_layers.append(res_skip_layer)
-
-  def forward(self, x, x_mask, g=None, **kwargs):
-    output = torch.zeros_like(x)
-    n_channels_tensor = torch.IntTensor([self.hidden_channels])
-
-    if g is not None:
-      g = self.cond_layer(g)
-
-    for i in range(self.n_layers):
-      x_in = self.in_layers[i](x)
-      if g is not None:
-        cond_offset = i * 2 * self.hidden_channels
-        g_l = g[:,cond_offset:cond_offset+2*self.hidden_channels,:]
-      else:
-        g_l = torch.zeros_like(x_in)
-
-      acts = commons.fused_add_tanh_sigmoid_multiply(
-          x_in,
-          g_l,
-          n_channels_tensor)
-      acts = self.drop(acts)
-
-      res_skip_acts = self.res_skip_layers[i](acts)
-      if i < self.n_layers - 1:
-        res_acts = res_skip_acts[:,:self.hidden_channels,:]
-        x = (x + res_acts) * x_mask
-        output = output + res_skip_acts[:,self.hidden_channels:,:]
-      else:
-        output = output + res_skip_acts
-    return output * x_mask
-
-  def remove_weight_norm(self):
-    if self.gin_channels != 0:
-      torch.nn.utils.remove_weight_norm(self.cond_layer)
-    for l in self.in_layers:
-      torch.nn.utils.remove_weight_norm(l)
-    for l in self.res_skip_layers:
-     torch.nn.utils.remove_weight_norm(l)
-
-
-class ResBlock1(torch.nn.Module):
-    def __init__(self, channels, kernel_size=3, dilation=(1, 3, 5)):
-        super(ResBlock1, self).__init__()
-        self.convs1 = nn.ModuleList([
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[0],
-                               padding=get_padding(kernel_size, dilation[0]))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[1],
-                               padding=get_padding(kernel_size, dilation[1]))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[2],
-                               padding=get_padding(kernel_size, dilation[2])))
-        ])
-        self.convs1.apply(init_weights)
-
-        self.convs2 = nn.ModuleList([
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=1,
-                               padding=get_padding(kernel_size, 1))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=1,
-                               padding=get_padding(kernel_size, 1))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=1,
-                               padding=get_padding(kernel_size, 1)))
-        ])
-        self.convs2.apply(init_weights)
-
-    def forward(self, x, x_mask=None):
-        for c1, c2 in zip(self.convs1, self.convs2):
-            xt = F.leaky_relu(x, LRELU_SLOPE)
-            if x_mask is not None:
-                xt = xt * x_mask
-            xt = c1(xt)
-            xt = F.leaky_relu(xt, LRELU_SLOPE)
-            if x_mask is not None:
-                xt = xt * x_mask
-            xt = c2(xt)
-            x = xt + x
-        if x_mask is not None:
-            x = x * x_mask
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.convs1:
-            remove_weight_norm(l)
-        for l in self.convs2:
-            remove_weight_norm(l)
-
-
-class ResBlock2(torch.nn.Module):
-    def __init__(self, channels, kernel_size=3, dilation=(1, 3)):
-        super(ResBlock2, self).__init__()
-        self.convs = nn.ModuleList([
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[0],
-                               padding=get_padding(kernel_size, dilation[0]))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[1],
-                               padding=get_padding(kernel_size, dilation[1])))
-        ])
-        self.convs.apply(init_weights)
-
-    def forward(self, x, x_mask=None):
-        for c in self.convs:
-            xt = F.leaky_relu(x, LRELU_SLOPE)
-            if x_mask is not None:
-                xt = xt * x_mask
-            xt = c(xt)
-            x = xt + x
-        if x_mask is not None:
-            x = x * x_mask
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.convs:
-            remove_weight_norm(l)
-
-
-class Log(nn.Module):
-  def forward(self, x, x_mask, reverse=False, **kwargs):
-    if not reverse:
-      y = torch.log(torch.clamp_min(x, 1e-5)) * x_mask
-      logdet = torch.sum(-y, [1, 2])
-      return y, logdet
-    else:
-      x = torch.exp(x) * x_mask
-      return x
-    
-
-class Flip(nn.Module):
-  def forward(self, x, *args, reverse=False, **kwargs):
-    x = torch.flip(x, [1])
-    if not reverse:
-      logdet = torch.zeros(x.size(0)).to(dtype=x.dtype, device=x.device)
-      return x, logdet
-    else:
-      return x
-
-
-class ElementwiseAffine(nn.Module):
-  def __init__(self, channels):
-    super().__init__()
-    self.channels = channels
-    self.m = nn.Parameter(torch.zeros(channels,1))
-    self.logs = nn.Parameter(torch.zeros(channels,1))
-
-  def forward(self, x, x_mask, reverse=False, **kwargs):
-    if not reverse:
-      y = self.m + torch.exp(self.logs) * x
-      y = y * x_mask
-      logdet = torch.sum(self.logs * x_mask, [1,2])
-      return y, logdet
-    else:
-      x = (x - self.m) * torch.exp(-self.logs) * x_mask
-      return x
-
-
-class ResidualCouplingLayer(nn.Module):
-  def __init__(self,
-      channels,
-      hidden_channels,
-      kernel_size,
-      dilation_rate,
-      n_layers,
-      p_dropout=0,
-      gin_channels=0,
-      mean_only=False):
-    assert channels % 2 == 0, "channels should be divisible by 2"
-    super().__init__()
-    self.channels = channels
-    self.hidden_channels = hidden_channels
-    self.kernel_size = kernel_size
-    self.dilation_rate = dilation_rate
-    self.n_layers = n_layers
-    self.half_channels = channels // 2
-    self.mean_only = mean_only
-
-    self.pre = nn.Conv1d(self.half_channels, hidden_channels, 1)
-    self.enc = WN(hidden_channels, kernel_size, dilation_rate, n_layers, p_dropout=p_dropout, gin_channels=gin_channels)
-    self.post = nn.Conv1d(hidden_channels, self.half_channels * (2 - mean_only), 1)
-    self.post.weight.data.zero_()
-    self.post.bias.data.zero_()
-
-  def forward(self, x, x_mask, g=None, reverse=False):
-    x0, x1 = torch.split(x, [self.half_channels]*2, 1)
-    h = self.pre(x0) * x_mask
-    h = self.enc(h, x_mask, g=g)
-    stats = self.post(h) * x_mask
-    if not self.mean_only:
-      m, logs = torch.split(stats, [self.half_channels]*2, 1)
-    else:
-      m = stats
-      logs = torch.zeros_like(m)
-
-    if not reverse:
-      x1 = m + x1 * torch.exp(logs) * x_mask
-      x = torch.cat([x0, x1], 1)
-      logdet = torch.sum(logs, [1,2])
-      return x, logdet
-    else:
-      x1 = (x1 - m) * torch.exp(-logs) * x_mask
-      x = torch.cat([x0, x1], 1)
-      return x
diff --git a/spaces/AI-Hobbyist/Hoyo-RVC/app.py b/spaces/AI-Hobbyist/Hoyo-RVC/app.py
deleted file mode 100644
index c845155acd6df860cdcedc3d5141defe85335b91..0000000000000000000000000000000000000000
--- a/spaces/AI-Hobbyist/Hoyo-RVC/app.py
+++ /dev/null
@@ -1,506 +0,0 @@
-import io
-import os
-import sys
-import torch
-import subprocess
-import edge_tts
-from hashlib import md5
-
-now_dir = os.getcwd()
-sys.path.append(now_dir)
-# os.system("wget -P cvec/ https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt")
-import gradio as gr
-import librosa
-import numpy as np
-import soundfile
-import logging
-from fairseq import checkpoint_utils
-from my_utils import load_audio
-from vc_infer_pipeline import VC
-import traceback
-from config import Config
-from infer_pack.models import (
-    SynthesizerTrnMs256NSFsid,
-    SynthesizerTrnMs256NSFsid_nono,
-    SynthesizerTrnMs768NSFsid,
-    SynthesizerTrnMs768NSFsid_nono,
-)
-from i18n import I18nAuto
-
-logging.getLogger("numba").setLevel(logging.WARNING)
-logging.getLogger("markdown_it").setLevel(logging.WARNING)
-logging.getLogger("urllib3").setLevel(logging.WARNING)
-logging.getLogger("matplotlib").setLevel(logging.WARNING)
-
-i18n = I18nAuto()
-i18n.print()
-
-config = Config()
-
-weight_root = "weights"
-weight_uvr5_root = "uvr5_weights"
-index_root = "indexs"
-tts_audio = "tts/tmp"
-tts_spks = "tts/list/list.txt"
-
-names = []
-hubert_model = None
-for name in os.listdir(weight_root):
-    if name.endswith(".pth"):
-        names.append(name)
-index_paths = []
-for root, dirs, files in os.walk(index_root, topdown=False):
-    for name in files:
-        if name.endswith(".index") and "trained" not in name:
-            index_paths.append("%s/%s" % (root, name))
-
-def encrypt_md5(s):
-    new_md5 = md5()
-    new_md5.update(s.encode(encoding='utf-8'))
-    return new_md5.hexdigest()
-
-def get_tts_spk(list_file):
-    with open(list_file, "r") as f:
-        lines = f.readlines()
-        spk_list = [line.strip() for line in lines if line.strip()]
-        return spk_list
-
-def change_choices():
-    names = []
-    for name in os.listdir(weight_root):
-        if name.endswith(".pth"):
-            names.append(name)
-    index_paths = []
-    for root, dirs, files in os.walk(index_root, topdown=False):
-        for name in files:
-            if name.endswith(".index") and "trained" not in name:
-                index_paths.append("%s/%s" % (root, name))
-    return {"choices": sorted(names), "__type__": "update"}, {
-        "choices": sorted(index_paths),
-        "__type__": "update",
-    }
-
-def tts_func(_text,_rate,_voice):
-    #使用edge-tts把文字转成音频
-    voice = _voice
-    md5_text = encrypt_md5(_text)
-    output_file = tts_audio + '/' + md5_text+".wav"
-    # communicate = edge_tts.Communicate(_text, voice)
-    # await communicate.save(output_file)
-    if _rate>=0:
-        ratestr="+" + str(_rate) + "%"
-    elif _rate<0:
-        ratestr=str(_rate) + "%"
-    print(ratestr)
-    p=subprocess.Popen("edge-tts "+
-                        " --text "+ "'"+_text+"'"+
-                        " --write-media "+output_file+
-                        " --voice "+voice+
-                        " --rate="+ratestr
-                        ,shell=True,
-                        stdout=subprocess.PIPE,
-                        stdin=subprocess.PIPE)
-    p.wait()
-    return output_file
-
-def get_vc(sid):
-    global n_spk, tgt_sr, net_g, vc, cpt, version
-    if sid == "" or sid == []:
-        global hubert_model
-        if hubert_model != None:  # 考虑到轮询, 需要加个判断看是否 sid 是由有模型切换到无模型的
-            print("clean_empty_cache")
-            del net_g, n_spk, vc, hubert_model, tgt_sr  # ,cpt
-            hubert_model = net_g = n_spk = vc = hubert_model = tgt_sr = None
-            if torch.cuda.is_available():
-                torch.cuda.empty_cache()
-            ###楼下不这么折腾清理不干净
-            if_f0 = cpt.get("f0", 1)
-            version = cpt.get("version", "v1")
-            if version == "v1":
-                if if_f0 == 1:
-                    net_g = SynthesizerTrnMs256NSFsid(
-                        *cpt["config"], is_half=config.is_half
-                    )
-                else:
-                    net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
-            elif version == "v2":
-                if if_f0 == 1:
-                    net_g = SynthesizerTrnMs768NSFsid(
-                        *cpt["config"], is_half=config.is_half
-                    )
-                else:
-                    net_g = SynthesizerTrnMs768NSFsid_nono(*cpt["config"])
-            del net_g, cpt
-            if torch.cuda.is_available():
-                torch.cuda.empty_cache()
-            cpt = None
-        return {"visible": False, "__type__": "update"}
-    person = "%s/%s" % (weight_root, sid)
-    print("loading %s" % person)
-    cpt = torch.load(person, map_location="cpu")
-    tgt_sr = cpt["config"][-1]
-    cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
-    if_f0 = cpt.get("f0", 1)
-    version = cpt.get("version", "v1")
-    if version == "v1":
-        if if_f0 == 1:
-            net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=config.is_half)
-        else:
-            net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
-    elif version == "v2":
-        if if_f0 == 1:
-            net_g = SynthesizerTrnMs768NSFsid(*cpt["config"], is_half=config.is_half)
-        else:
-            net_g = SynthesizerTrnMs768NSFsid_nono(*cpt["config"])
-    del net_g.enc_q
-    print(net_g.load_state_dict(cpt["weight"], strict=False))
-    net_g.eval().to(config.device)
-    if config.is_half:
-        net_g = net_g.half()
-    else:
-        net_g = net_g.float()
-    vc = VC(tgt_sr, config)
-    n_spk = cpt["config"][-3]
-    return {"visible": True, "maximum": n_spk, "__type__": "update"}
-
-
-def load_hubert():
-    global hubert_model
-    models, _, _ = checkpoint_utils.load_model_ensemble_and_task(
-        ["hubert_base.pt"],
-        suffix="",
-    )
-    hubert_model = models[0]
-    hubert_model = hubert_model.to(config.device)
-    if config.is_half:
-        hubert_model = hubert_model.half()
-    else:
-        hubert_model = hubert_model.float()
-    hubert_model.eval()
-
-
-def vc_single(
-    sid,
-    input_audio_path,
-    f0_up_key,
-    f0_file,
-    f0_method,
-    file_index,
-    file_index2,
-    # file_big_npy,
-    index_rate,
-    filter_radius,
-    resample_sr,
-    rms_mix_rate,
-    protect,
-):  # spk_item, input_audio0, vc_transform0,f0_file,f0method0
-    global tgt_sr, net_g, vc, hubert_model, version
-    if input_audio_path is None:
-        return "You need to upload an audio", None
-    f0_up_key = int(f0_up_key)
-    try:
-        audio = input_audio_path[1] / 32768.0
-        if len(audio.shape) == 2:
-            audio = np.mean(audio, -1)
-        audio = librosa.resample(audio, orig_sr=input_audio_path[0], target_sr=16000)
-        audio_max = np.abs(audio).max() / 0.95
-        if audio_max > 1:
-            audio /= audio_max
-        times = [0, 0, 0]
-        if hubert_model == None:
-            load_hubert()
-        if_f0 = cpt.get("f0", 1)
-        file_index = (
-            (
-                file_index.strip(" ")
-                .strip('"')
-                .strip("\n")
-                .strip('"')
-                .strip(" ")
-                .replace("trained", "added")
-            )
-            if file_index != ""
-            else file_index2
-        )  # 防止小白写错，自动帮他替换掉
-        # file_big_npy = (
-        #     file_big_npy.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
-        # )
-        audio_opt = vc.pipeline(
-            hubert_model,
-            net_g,
-            sid,
-            audio,
-            input_audio_path,
-            times,
-            f0_up_key,
-            f0_method,
-            file_index,
-            # file_big_npy,
-            index_rate,
-            if_f0,
-            filter_radius,
-            tgt_sr,
-            resample_sr,
-            rms_mix_rate,
-            version,
-            protect,
-            f0_file=f0_file,
-        )
-        if resample_sr >= 16000 and tgt_sr != resample_sr:
-            tgt_sr = resample_sr
-        index_info = (
-            "Using index:%s." % file_index
-            if os.path.exists(file_index)
-            else "Index not used."
-        )
-        return "Success.\n %s\nTime:\n npy:%ss, f0:%ss, infer:%ss" % (
-            index_info,
-            times[0],
-            times[1],
-            times[2],
-        ), (tgt_sr, audio_opt)
-    except:
-        info = traceback.format_exc()
-        print(info)
-        return info, (None, None)
-
-def tts_vc_single(
-    sid,
-    f0_up_key,
-    f0_file,
-    f0_method,
-    file_index,
-    file_index2,
-    # file_big_npy,
-    index_rate,
-    filter_radius,
-    resample_sr,
-    rms_mix_rate,
-    protect,
-    tts_input,
-    tts_speed,
-    tts_speaker,
-):  # spk_item, input_audio0, vc_transform0,f0_file,f0method0
-    global tgt_sr, net_g, vc, hubert_model, version
-    if tts_input is None:
-        return "文本不能为空", None
-    f0_up_key = int(f0_up_key)
-    try:
-        tts_out = tts_func(tts_input, tts_speed, tts_speaker)
-        audio = load_audio(tts_out, 16000)
-        audio_max = np.abs(audio).max() / 0.95
-        if audio_max > 1:
-            audio /= audio_max
-        times = [0, 0, 0]
-        if audio_max > 1:
-            audio /= audio_max
-        times = [0, 0, 0]
-        if hubert_model == None:
-            load_hubert()
-        if_f0 = cpt.get("f0", 1)
-        file_index = (
-            (
-                file_index.strip(" ")
-                .strip('"')
-                .strip("\n")
-                .strip('"')
-                .strip(" ")
-                .replace("trained", "added")
-            )
-            if file_index != ""
-            else file_index2
-        )  # 防止小白写错，自动帮他替换掉
-        # file_big_npy = (
-        #     file_big_npy.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
-        # )
-        audio_opt = vc.pipeline(
-            hubert_model,
-            net_g,
-            sid,
-            audio,
-            tts_out,
-            times,
-            f0_up_key,
-            f0_method,
-            file_index,
-            # file_big_npy,
-            index_rate,
-            if_f0,
-            filter_radius,
-            tgt_sr,
-            resample_sr,
-            rms_mix_rate,
-            version,
-            protect,
-            f0_file=f0_file,
-        )
-        if resample_sr >= 16000 and tgt_sr != resample_sr:
-            tgt_sr = resample_sr
-        index_info = (
-            "Using index:%s." % file_index
-            if os.path.exists(file_index)
-            else "Index not used."
-        )
-        return "Success.\n %s\nTime:\n npy:%ss, f0:%ss, infer:%ss" % (
-            index_info,
-            times[0],
-            times[1],
-            times[2],
-        ), (tgt_sr, audio_opt)
-    except:
-        info = traceback.format_exc()
-        print(info)
-        return info, (None, None)
-app = gr.Blocks()
-with app:
-    with gr.Tabs():
-        with gr.TabItem("在线推理"):
-            gr.Markdown(
-                value="""
-                RVC 在线推理
-                """
-            )
-            sid = gr.Dropdown(label=i18n("推理音色"), choices=sorted(names))
-            refresh_button = gr.Button(i18n("刷新音色列表和索引路径"), variant="primary")
-            with gr.Column():
-                spk_item = gr.Slider(
-                    minimum=0,
-                    maximum=2333,
-                    step=1,
-                    label=i18n("请选择说话人id"),
-                    value=0,
-                    visible=False,
-                    interactive=True,
-                )
-            gr.Markdown(
-                value=i18n("男转女推荐+12key, 女转男推荐-12key, 如果音域爆炸导致音色失真也可以自己调整到合适音域. ")
-            )
-            with gr.Tabs():
-                with gr.TabItem("音频转音频"):
-                    vc_input3 = gr.Audio(label="上传音频（长度小于90秒）")
-                    but0 = gr.Button(i18n("转换"), variant="primary")
-                with gr.TabItem("文字转音频(基于微软TTS)"):
-                    tts_input = gr.Text(label="请输入文本")
-                    tts_speaker = gr.Dropdown(label="请选择角色",choices=get_tts_spk(tts_spks))
-                    tts_speed = gr.Slider(
-                        label = "语速(单位：%，0为正常速度)",
-                        value = 0,
-                        minimum = -200,
-                        maximum = 200
-                    )
-                    but1 = gr.Button(i18n("转换"), variant="primary")
-            vc_transform0 = gr.Number(label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), value=0)
-            f0method0 = gr.Radio(
-                label=i18n("选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU"),
-                choices=["pm"],
-                value="pm",
-                interactive=True,
-            )
-            filter_radius0 = gr.Slider(
-                minimum=0,
-                maximum=7,
-                label=i18n(">=3则使用对harvest音高识别的结果使用中值滤波，数值为滤波半径，使用可以削弱哑音"),
-                value=3,
-                step=1,
-                interactive=True,
-            )
-            with gr.Column():
-                file_index1 = gr.Textbox(
-                    label=i18n("特征检索库文件路径,为空则使用下拉的选择结果"),
-                    value="",
-                    interactive=False,
-                    visible=False,
-                )
-            file_index2 = gr.Dropdown(
-                label=i18n("自动检测index路径,下拉式选择(dropdown)"),
-                choices=sorted(index_paths),
-                interactive=True,
-            )
-            refresh_button.click(
-                fn=change_choices, inputs=[], outputs=[sid, file_index2]
-            )
-            index_rate1 = gr.Slider(
-                minimum=0,
-                maximum=1,
-                label=i18n("检索特征占比"),
-                value=0.88,
-                interactive=True,
-            )
-            resample_sr0 = gr.Slider(
-                minimum=0,
-                maximum=48000,
-                label=i18n("后处理重采样至最终采样率，0为不进行重采样"),
-                value=0,
-                step=1,
-                interactive=True,
-            )
-            rms_mix_rate0 = gr.Slider(
-                minimum=0,
-                maximum=1,
-                label=i18n("输入源音量包络替换输出音量包络融合比例，越靠近1越使用输出包络"),
-                value=1,
-                interactive=True,
-            )
-            protect0 = gr.Slider(
-                minimum=0,
-                maximum=0.5,
-                label=i18n("保护清辅音和呼吸声，防止电音撕裂等artifact，拉满0.5不开启，调低加大保护力度但可能降低索引效果"),
-                value=0.33,
-                step=0.01,
-                interactive=True,
-            )
-            f0_file = gr.File(label=i18n("F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调"))
-            vc_output1 = gr.Textbox(label=i18n("输出信息"))
-            vc_output2 = gr.Audio(label=i18n("输出音频(右下角三个点,点了可以下载)"))
-            but0.click(
-                fn=get_vc,
-                inputs=[sid],
-                outputs=[spk_item],
-            )
-            but0.click(
-                vc_single,
-                [
-                    spk_item,
-                    vc_input3,
-                    vc_transform0,
-                    f0_file,
-                    f0method0,
-                    file_index1,
-                    file_index2,
-                    # file_big_npy1,
-                    index_rate1,
-                    filter_radius0,
-                    resample_sr0,
-                    rms_mix_rate0,
-                    protect0,
-                ],
-                [vc_output1, vc_output2],
-            )
-            but1.click(
-                fn=get_vc,
-                inputs=[sid],
-                outputs=[spk_item],
-            )
-            but1.click(
-                tts_vc_single,
-                [
-                    spk_item,
-                    vc_transform0,
-                    f0_file,
-                    f0method0,
-                    file_index1,
-                    file_index2,
-                    # file_big_npy1,
-                    index_rate1,
-                    filter_radius0,
-                    resample_sr0,
-                    rms_mix_rate0,
-                    protect0,
-                    tts_input,
-                    tts_speed,
-                    tts_speaker,
-                ],
-                [vc_output1, vc_output2],
-            )
-
-app.queue(concurrency_count=511, max_size=1022).launch()
diff --git a/spaces/AIGC-Audio/AudioGPT/NeuralSeq/modules/GenerSpeech/task/dataset.py b/spaces/AIGC-Audio/AudioGPT/NeuralSeq/modules/GenerSpeech/task/dataset.py
deleted file mode 100644
index 0b1f6fa2c596a23b9bc49ad470c1723d3597d738..0000000000000000000000000000000000000000
--- a/spaces/AIGC-Audio/AudioGPT/NeuralSeq/modules/GenerSpeech/task/dataset.py
+++ /dev/null
@@ -1,193 +0,0 @@
-import matplotlib
-matplotlib.use('Agg')
-from tasks.base_task import data_loader
-from tasks.tts.fs2 import FastSpeech2Task
-from tasks.tts.dataset_utils import FastSpeechDataset, BaseTTSDataset
-import glob
-import importlib
-from utils.pitch_utils import norm_interp_f0, denorm_f0, f0_to_coarse
-from inference.base_tts_infer import load_data_preprocessor
-from data_gen.tts.emotion import inference as EmotionEncoder
-from data_gen.tts.emotion.inference import embed_utterance as Embed_utterance
-from data_gen.tts.emotion.inference import preprocess_wav
-from tqdm import tqdm
-from utils.hparams import hparams
-from data_gen.tts.data_gen_utils import build_phone_encoder, build_word_encoder
-import random
-import torch
-import torch.optim
-import torch.nn.functional as F
-import torch.utils.data
-from utils.indexed_datasets import IndexedDataset
-from resemblyzer import VoiceEncoder
-import torch.distributions
-import numpy as np
-import utils
-import os
-
-
-
-class GenerSpeech_dataset(BaseTTSDataset):
-    def __init__(self, prefix, shuffle=False, test_items=None, test_sizes=None, data_dir=None):
-        super().__init__(prefix, shuffle, test_items, test_sizes, data_dir)
-        self.f0_mean, self.f0_std = hparams.get('f0_mean', None), hparams.get('f0_std', None)
-        if prefix == 'valid':
-            indexed_ds = IndexedDataset(f'{self.data_dir}/train')
-            sizes = np.load(f'{self.data_dir}/train_lengths.npy')
-            index = [i for i in range(len(indexed_ds))]
-            random.shuffle(index)
-            index = index[:300]
-            self.sizes = sizes[index]
-            self.indexed_ds = []
-            for i in index:
-                self.indexed_ds.append(indexed_ds[i])
-            self.avail_idxs = list(range(len(self.sizes)))
-            if hparams['min_frames'] > 0:
-                self.avail_idxs = [x for x in self.avail_idxs if self.sizes[x] >= hparams['min_frames']]
-            self.sizes = [self.sizes[i] for i in self.avail_idxs]
-
-        if prefix == 'test' and hparams['test_input_dir'] != '':
-            self.preprocessor, self.preprocess_args = load_data_preprocessor()
-            self.indexed_ds, self.sizes = self.load_test_inputs(hparams['test_input_dir'])
-            self.avail_idxs = [i for i, _ in enumerate(self.sizes)]
-
-
-    def load_test_inputs(self, test_input_dir):
-        inp_wav_paths = sorted(glob.glob(f'{test_input_dir}/*.wav') + glob.glob(f'{test_input_dir}/*.mp3'))
-        binarizer_cls = hparams.get("binarizer_cls", 'data_gen.tts.base_binarizerr.BaseBinarizer')
-        pkg = ".".join(binarizer_cls.split(".")[:-1])
-        cls_name = binarizer_cls.split(".")[-1]
-        binarizer_cls = getattr(importlib.import_module(pkg), cls_name)
-
-        phone_encoder = build_phone_encoder(hparams['binary_data_dir'])
-        word_encoder = build_word_encoder(hparams['binary_data_dir'])
-        voice_encoder = VoiceEncoder().cuda()
-
-        encoder = [phone_encoder, word_encoder]
-        sizes = []
-        items = []
-        EmotionEncoder.load_model(hparams['emotion_encoder_path'])
-        preprocessor, preprocess_args = self.preprocessor, self.preprocess_args
-
-        for wav_fn in tqdm(inp_wav_paths):
-            item_name = wav_fn[len(test_input_dir) + 1:].replace("/", "_")
-            spk_id = emotion = 0
-            item2tgfn = wav_fn.replace('.wav', '.TextGrid') # prepare textgrid alignment
-            txtpath = wav_fn.replace('.wav', '.txt')  # prepare text
-            with open(txtpath, 'r') as f:
-                text_raw = f.readlines()
-                f.close()
-            ph, txt = preprocessor.txt_to_ph(preprocessor.txt_processor, text_raw[0], preprocess_args)
-
-            item = binarizer_cls.process_item(item_name, ph, txt, item2tgfn, wav_fn, spk_id, emotion, encoder, hparams['binarization_args'])
-            item['emo_embed'] = Embed_utterance(preprocess_wav(item['wav_fn']))
-            item['spk_embed'] = voice_encoder.embed_utterance(item['wav'])
-            items.append(item)
-            sizes.append(item['len'])
-        return items, sizes
-
-    def _get_item(self, index):
-        if hasattr(self, 'avail_idxs') and self.avail_idxs is not None:
-            index = self.avail_idxs[index]
-        if self.indexed_ds is None:
-            self.indexed_ds = IndexedDataset(f'{self.data_dir}/{self.prefix}')
-        return self.indexed_ds[index]
-
-    def __getitem__(self, index):
-        hparams = self.hparams
-        item = self._get_item(index)
-        assert len(item['mel']) == self.sizes[index], (len(item['mel']), self.sizes[index])
-        max_frames = hparams['max_frames']
-        spec = torch.Tensor(item['mel'])[:max_frames]
-        max_frames = spec.shape[0] // hparams['frames_multiple'] * hparams['frames_multiple']
-        spec = spec[:max_frames]
-        phone = torch.LongTensor(item['phone'][:hparams['max_input_tokens']])
-        sample = {
-            "id": index,
-            "item_name": item['item_name'],
-            "text": item['txt'],
-            "txt_token": phone,
-            "mel": spec,
-            "mel_nonpadding": spec.abs().sum(-1) > 0,
-        }
-        spec = sample['mel']
-        T = spec.shape[0]
-        sample['mel2ph'] = mel2ph = torch.LongTensor(item['mel2ph'])[:T] if 'mel2ph' in item else None
-        if hparams['use_pitch_embed']:
-            assert 'f0' in item
-            if hparams.get('normalize_pitch', False):
-                f0 = item["f0"]
-                if len(f0 > 0) > 0 and f0[f0 > 0].std() > 0:
-                    f0[f0 > 0] = (f0[f0 > 0] - f0[f0 > 0].mean()) / f0[f0 > 0].std() * hparams['f0_std'] + \
-                                 hparams['f0_mean']
-                    f0[f0 > 0] = f0[f0 > 0].clip(min=60, max=500)
-                pitch = f0_to_coarse(f0)
-                pitch = torch.LongTensor(pitch[:max_frames])
-            else:
-                pitch = torch.LongTensor(item.get("pitch"))[:max_frames] if "pitch" in item else None
-            f0, uv = norm_interp_f0(item["f0"][:max_frames], hparams)
-            uv = torch.FloatTensor(uv)
-            f0 = torch.FloatTensor(f0)
-        else:
-            f0 = uv = torch.zeros_like(mel2ph)
-            pitch = None
-        sample["f0"], sample["uv"], sample["pitch"] = f0, uv, pitch
-        sample["spk_embed"] = torch.Tensor(item['spk_embed'])
-        sample["emotion"] = item['emotion']
-        sample["emo_embed"] = torch.Tensor(item['emo_embed'])
-
-        if hparams.get('use_word', False):
-            sample["ph_words"] = item["ph_words"]
-            sample["word_tokens"] = torch.LongTensor(item["word_tokens"])
-            sample["mel2word"] = torch.LongTensor(item.get("mel2word"))[:max_frames]
-            sample["ph2word"] = torch.LongTensor(item['ph2word'][:hparams['max_input_tokens']])
-        return sample
-
-    def collater(self, samples):
-        if len(samples) == 0:
-            return {}
-        hparams = self.hparams
-        id = torch.LongTensor([s['id'] for s in samples])
-        item_names = [s['item_name'] for s in samples]
-        text = [s['text'] for s in samples]
-        txt_tokens = utils.collate_1d([s['txt_token'] for s in samples], 0)
-        mels = utils.collate_2d([s['mel'] for s in samples], 0.0)
-        txt_lengths = torch.LongTensor([s['txt_token'].numel() for s in samples])
-        mel_lengths = torch.LongTensor([s['mel'].shape[0] for s in samples])
-
-        batch = {
-            'id': id,
-            'item_name': item_names,
-            'nsamples': len(samples),
-            'text': text,
-            'txt_tokens': txt_tokens,
-            'txt_lengths': txt_lengths,
-            'mels': mels,
-            'mel_lengths': mel_lengths,
-        }
-
-        f0 = utils.collate_1d([s['f0'] for s in samples], 0.0)
-        pitch = utils.collate_1d([s['pitch'] for s in samples]) if samples[0]['pitch'] is not None else None
-        uv = utils.collate_1d([s['uv'] for s in samples])
-        mel2ph = utils.collate_1d([s['mel2ph'] for s in samples], 0.0) if samples[0]['mel2ph'] is not None else None
-        batch.update({
-            'mel2ph': mel2ph,
-            'pitch': pitch,
-            'f0': f0,
-            'uv': uv,
-        })
-        spk_embed = torch.stack([s['spk_embed'] for s in samples])
-        batch['spk_embed'] = spk_embed
-        emo_embed = torch.stack([s['emo_embed'] for s in samples])
-        batch['emo_embed'] = emo_embed
-
-        if hparams.get('use_word', False):
-            ph_words = [s['ph_words'] for s in samples]
-            batch['ph_words'] = ph_words
-            word_tokens = utils.collate_1d([s['word_tokens'] for s in samples], 0)
-            batch['word_tokens'] = word_tokens
-            mel2word = utils.collate_1d([s['mel2word'] for s in samples], 0)
-            batch['mel2word'] = mel2word
-            ph2word = utils.collate_1d([s['ph2word'] for s in samples], 0)
-            batch['ph2word'] = ph2word
-        return batch
\ No newline at end of file
diff --git a/spaces/AIGC-Audio/AudioGPT/NeuralSeq/modules/diffsinger_midi/fs2.py b/spaces/AIGC-Audio/AudioGPT/NeuralSeq/modules/diffsinger_midi/fs2.py
deleted file mode 100644
index 94a9ec3c51cd749576a5f60caec5e5b08d2a7d02..0000000000000000000000000000000000000000
--- a/spaces/AIGC-Audio/AudioGPT/NeuralSeq/modules/diffsinger_midi/fs2.py
+++ /dev/null
@@ -1,119 +0,0 @@
-from modules.commons.common_layers import *
-from modules.commons.common_layers import Embedding
-from modules.fastspeech.tts_modules import FastspeechDecoder, DurationPredictor, LengthRegulator, PitchPredictor, \
-    EnergyPredictor, FastspeechEncoder
-from utils.cwt import cwt2f0
-from utils.hparams import hparams
-from utils.pitch_utils import f0_to_coarse, denorm_f0, norm_f0
-from modules.fastspeech.fs2 import FastSpeech2
-
-
-class FastspeechMIDIEncoder(FastspeechEncoder):
-    def forward_embedding(self, txt_tokens, midi_embedding, midi_dur_embedding, slur_embedding):
-        # embed tokens and positions
-        x = self.embed_scale * self.embed_tokens(txt_tokens)
-        x = x + midi_embedding + midi_dur_embedding + slur_embedding
-        if hparams['use_pos_embed']:
-            if hparams.get('rel_pos') is not None and hparams['rel_pos']:
-                x = self.embed_positions(x)
-            else:
-                positions = self.embed_positions(txt_tokens)
-                x = x + positions
-        x = F.dropout(x, p=self.dropout, training=self.training)
-        return x
-
-    def forward(self, txt_tokens, midi_embedding, midi_dur_embedding, slur_embedding):
-        """
-
-        :param txt_tokens: [B, T]
-        :return: {
-            'encoder_out': [T x B x C]
-        }
-        """
-        encoder_padding_mask = txt_tokens.eq(self.padding_idx).data
-        x = self.forward_embedding(txt_tokens, midi_embedding, midi_dur_embedding, slur_embedding)  # [B, T, H]
-        x = super(FastspeechEncoder, self).forward(x, encoder_padding_mask)
-        return x
-
-
-FS_ENCODERS = {
-    'fft': lambda hp, embed_tokens, d: FastspeechMIDIEncoder(
-        embed_tokens, hp['hidden_size'], hp['enc_layers'], hp['enc_ffn_kernel_size'],
-        num_heads=hp['num_heads']),
-}
-
-
-class FastSpeech2MIDI(FastSpeech2):
-    def __init__(self, dictionary, out_dims=None):
-        super().__init__(dictionary, out_dims)
-        del self.encoder
-        self.encoder = FS_ENCODERS[hparams['encoder_type']](hparams, self.encoder_embed_tokens, self.dictionary)
-        self.midi_embed = Embedding(300, self.hidden_size, self.padding_idx)
-        self.midi_dur_layer = Linear(1, self.hidden_size)
-        self.is_slur_embed = Embedding(2, self.hidden_size)
-
-    def forward(self, txt_tokens, mel2ph=None, spk_embed=None,
-                ref_mels=None, f0=None, uv=None, energy=None, skip_decoder=False,
-                spk_embed_dur_id=None, spk_embed_f0_id=None, infer=False, **kwargs):
-        ret = {}
-
-        midi_embedding = self.midi_embed(kwargs['pitch_midi'])
-        midi_dur_embedding, slur_embedding = 0, 0
-        if kwargs.get('midi_dur') is not None:
-            midi_dur_embedding = self.midi_dur_layer(kwargs['midi_dur'][:, :, None])  # [B, T, 1] -> [B, T, H]
-        if kwargs.get('is_slur') is not None:
-            slur_embedding = self.is_slur_embed(kwargs['is_slur'])
-        encoder_out = self.encoder(txt_tokens, midi_embedding, midi_dur_embedding, slur_embedding)  # [B, T, C]
-        src_nonpadding = (txt_tokens > 0).float()[:, :, None]
-
-        # add ref style embed
-        # Not implemented
-        # variance encoder
-        var_embed = 0
-
-        # encoder_out_dur denotes encoder outputs for duration predictor
-        # in speech adaptation, duration predictor use old speaker embedding
-        if hparams['use_spk_embed']:
-            spk_embed_dur = spk_embed_f0 = spk_embed = self.spk_embed_proj(spk_embed)[:, None, :]
-        elif hparams['use_spk_id']:
-            spk_embed_id = spk_embed
-            if spk_embed_dur_id is None:
-                spk_embed_dur_id = spk_embed_id
-            if spk_embed_f0_id is None:
-                spk_embed_f0_id = spk_embed_id
-            spk_embed = self.spk_embed_proj(spk_embed_id)[:, None, :]
-            spk_embed_dur = spk_embed_f0 = spk_embed
-            if hparams['use_split_spk_id']:
-                spk_embed_dur = self.spk_embed_dur(spk_embed_dur_id)[:, None, :]
-                spk_embed_f0 = self.spk_embed_f0(spk_embed_f0_id)[:, None, :]
-        else:
-            spk_embed_dur = spk_embed_f0 = spk_embed = 0
-
-        # add dur
-        dur_inp = (encoder_out + var_embed + spk_embed_dur) * src_nonpadding
-
-        mel2ph = self.add_dur(dur_inp, mel2ph, txt_tokens, ret)
-
-        decoder_inp = F.pad(encoder_out, [0, 0, 1, 0])
-
-        mel2ph_ = mel2ph[..., None].repeat([1, 1, encoder_out.shape[-1]])
-        decoder_inp_origin = decoder_inp = torch.gather(decoder_inp, 1, mel2ph_)  # [B, T, H]
-
-        tgt_nonpadding = (mel2ph > 0).float()[:, :, None]
-
-        # add pitch and energy embed
-        pitch_inp = (decoder_inp_origin + var_embed + spk_embed_f0) * tgt_nonpadding
-        if hparams['use_pitch_embed']:
-            pitch_inp_ph = (encoder_out + var_embed + spk_embed_f0) * src_nonpadding
-            decoder_inp = decoder_inp + self.add_pitch(pitch_inp, f0, uv, mel2ph, ret, encoder_out=pitch_inp_ph)
-        if hparams['use_energy_embed']:
-            decoder_inp = decoder_inp + self.add_energy(pitch_inp, energy, ret)
-
-        ret['decoder_inp'] = decoder_inp = (decoder_inp + spk_embed) * tgt_nonpadding
-
-        if skip_decoder:
-            return ret
-        ret['mel_out'] = self.run_decoder(decoder_inp, tgt_nonpadding, ret, infer=infer, **kwargs)
-
-        return ret
-
diff --git a/spaces/AIGC-Audio/AudioGPT/text_to_audio/Make_An_Audio/ldm/modules/discriminator/multi_window_disc.py b/spaces/AIGC-Audio/AudioGPT/text_to_audio/Make_An_Audio/ldm/modules/discriminator/multi_window_disc.py
deleted file mode 100644
index 1aef6493c90c7cf5206ff92f7fe8831a0821664f..0000000000000000000000000000000000000000
--- a/spaces/AIGC-Audio/AudioGPT/text_to_audio/Make_An_Audio/ldm/modules/discriminator/multi_window_disc.py
+++ /dev/null
@@ -1,196 +0,0 @@
-import numpy as np
-import torch
-import torch.nn as nn
-
-
-class Discriminator2DFactory(nn.Module):
-    def __init__(self, time_length, freq_length=80, kernel=(3, 3), c_in=1, hidden_size=128,
-                 norm_type='bn', reduction='sum'):
-        super(Discriminator2DFactory, self).__init__()
-        padding = (kernel[0] // 2, kernel[1] // 2)
-
-        def discriminator_block(in_filters, out_filters, first=False):
-            """
-            Input: (B, in, 2H, 2W)
-            Output:(B, out, H,  W)
-            """
-            conv = nn.Conv2d(in_filters, out_filters, kernel, (2, 2), padding)
-            if norm_type == 'sn':
-                conv = nn.utils.spectral_norm(conv)
-            block = [
-                conv,  # padding = kernel//2
-                nn.LeakyReLU(0.2, inplace=True),
-                nn.Dropout2d(0.25)
-            ]
-            if norm_type == 'bn' and not first:
-                block.append(nn.BatchNorm2d(out_filters, 0.8))
-            if norm_type == 'in' and not first:
-                block.append(nn.InstanceNorm2d(out_filters, affine=True))
-            block = nn.Sequential(*block)
-            return block
-
-        self.model = nn.ModuleList([
-            discriminator_block(c_in, hidden_size, first=True),
-            discriminator_block(hidden_size, hidden_size),
-            discriminator_block(hidden_size, hidden_size),
-        ])
-
-        self.reduction = reduction
-        ds_size = (time_length // 2 ** 3, (freq_length + 7) // 2 ** 3)
-        if reduction != 'none':
-            # The height and width of downsampled image
-            self.adv_layer = nn.Linear(hidden_size * ds_size[0] * ds_size[1], 1)
-        else:
-            self.adv_layer = nn.Linear(hidden_size * ds_size[1], 1)
-
-    def forward(self, x):
-        """
-
-        :param x: [B, C, T, n_bins]
-        :return: validity: [B, 1], h: List of hiddens
-        """
-        h = []
-        for l in self.model:
-            x = l(x)
-            h.append(x)
-        if self.reduction != 'none':
-            x = x.view(x.shape[0], -1)
-            validity = self.adv_layer(x)  # [B, 1]
-        else:
-            B, _, T_, _ = x.shape
-            x = x.transpose(1, 2).reshape(B, T_, -1)
-            validity = self.adv_layer(x)[:, :, 0]  # [B, T]
-        return validity, h
-
-
-class MultiWindowDiscriminator(nn.Module):
-    def __init__(self, time_lengths, cond_size=0, freq_length=80, kernel=(3, 3),
-                 c_in=1, hidden_size=128, norm_type='bn', reduction='sum'):
-        super(MultiWindowDiscriminator, self).__init__()
-        self.win_lengths = time_lengths
-        self.reduction = reduction
-
-        self.conv_layers = nn.ModuleList()
-        if cond_size > 0:
-            self.cond_proj_layers = nn.ModuleList()
-            self.mel_proj_layers = nn.ModuleList()
-        for time_length in time_lengths:
-            conv_layer = [
-                Discriminator2DFactory(
-                    time_length, freq_length, kernel, c_in=c_in, hidden_size=hidden_size,
-                    norm_type=norm_type, reduction=reduction)
-            ]
-            self.conv_layers += conv_layer
-            if cond_size > 0:
-                self.cond_proj_layers.append(nn.Linear(cond_size, freq_length))
-                self.mel_proj_layers.append(nn.Linear(freq_length, freq_length))
-
-    def forward(self, x, x_len, cond=None, start_frames_wins=None):
-        '''
-        Args:
-            x (tensor): input mel, (B, c_in, T, n_bins).
-            x_length (tensor): len of per mel. (B,).
-
-        Returns:
-            tensor : (B).
-        '''
-        validity = []
-        if start_frames_wins is None:
-            start_frames_wins = [None] * len(self.conv_layers)
-        h = []
-        for i, start_frames in zip(range(len(self.conv_layers)), start_frames_wins):
-            x_clip, c_clip, start_frames = self.clip(
-                x, cond, x_len, self.win_lengths[i], start_frames)  # (B, win_length, C)
-            start_frames_wins[i] = start_frames
-            if x_clip is None:
-                continue
-            if cond is not None:
-                x_clip = self.mel_proj_layers[i](x_clip)  # (B, 1, win_length, C)
-                c_clip = self.cond_proj_layers[i](c_clip)[:, None]  # (B, 1, win_length, C)
-                x_clip = x_clip + c_clip
-            x_clip, h_ = self.conv_layers[i](x_clip)
-            h += h_
-            validity.append(x_clip)
-        if len(validity) != len(self.conv_layers):
-            return None, start_frames_wins, h
-        if self.reduction == 'sum':
-            validity = sum(validity)  # [B]
-        elif self.reduction == 'stack':
-            validity = torch.stack(validity, -1)  # [B, W_L]
-        elif self.reduction == 'none':
-            validity = torch.cat(validity, -1)  # [B, W_sum]
-        return validity, start_frames_wins, h
-
-    def clip(self, x, cond, x_len, win_length, start_frames=None):
-        '''Ramdom clip x to win_length.
-        Args:
-            x (tensor) : (B, c_in, T, n_bins).
-            cond (tensor) : (B, T, H).
-            x_len (tensor) : (B,).
-            win_length (int): target clip length
-
-        Returns:
-            (tensor) : (B, c_in, win_length, n_bins).
-
-        '''
-        T_start = 0
-        T_end = x_len.max() - win_length
-        if T_end < 0:
-            return None, None, start_frames
-        T_end = T_end.item()
-        if start_frames is None:
-            start_frame = np.random.randint(low=T_start, high=T_end + 1)
-            start_frames = [start_frame] * x.size(0)
-        else:
-            start_frame = start_frames[0]
-        x_batch = x[:, :, start_frame: start_frame + win_length]
-        c_batch = cond[:, start_frame: start_frame + win_length] if cond is not None else None
-        return x_batch, c_batch, start_frames
-
-
-class Discriminator(nn.Module):
-    def __init__(self, time_lengths=[32, 64, 128], freq_length=80, cond_size=0, kernel=(3, 3), c_in=1,
-                 hidden_size=128, norm_type='bn', reduction='sum', uncond_disc=True):
-        super(Discriminator, self).__init__()
-        self.time_lengths = time_lengths
-        self.cond_size = cond_size
-        self.reduction = reduction
-        self.uncond_disc = uncond_disc
-        if uncond_disc:
-            self.discriminator = MultiWindowDiscriminator(
-                freq_length=freq_length,
-                time_lengths=time_lengths,
-                kernel=kernel,
-                c_in=c_in, hidden_size=hidden_size, norm_type=norm_type,
-                reduction=reduction
-            )
-        if cond_size > 0:
-            self.cond_disc = MultiWindowDiscriminator(
-                freq_length=freq_length,
-                time_lengths=time_lengths,
-                cond_size=cond_size,
-                kernel=kernel,
-                c_in=c_in, hidden_size=hidden_size, norm_type=norm_type,
-                reduction=reduction
-            )
-
-    def forward(self, x, cond=None, start_frames_wins=None):
-        """
-
-        :param x: [B, T, 80]
-        :param cond: [B, T, cond_size]
-        :param return_y_only:
-        :return:
-        """
-        if len(x.shape) == 3:
-            x = x[:, None, :, :]
-        x_len = x.sum([1, -1]).ne(0).int().sum([-1])
-        ret = {'y_c': None, 'y': None}
-        if self.uncond_disc:
-            ret['y'], start_frames_wins, ret['h'] = self.discriminator(
-                x, x_len, start_frames_wins=start_frames_wins)
-        if self.cond_size > 0 and cond is not None:
-            ret['y_c'], start_frames_wins, ret['h_c'] = self.cond_disc(
-                x, x_len, cond, start_frames_wins=start_frames_wins)
-        ret['start_frames_wins'] = start_frames_wins
-        return ret
\ No newline at end of file
diff --git a/spaces/AILab-CVC/EvalCrafter/constants.py b/spaces/AILab-CVC/EvalCrafter/constants.py
deleted file mode 100644
index ee89cfa1b44f97550783b3532e801a8dea69f3f4..0000000000000000000000000000000000000000
--- a/spaces/AILab-CVC/EvalCrafter/constants.py
+++ /dev/null
@@ -1,47 +0,0 @@
-# this is .py for store constants 
-MODEL_INFO = ['Models', 'Ver.','Abilities']
-TASK_INFO = [ 'Resolution', 'FPS', 'Open Source', 'Length', 'Speed', 'Motion', 'Camera', 'Final Sum Score', 'Motion Quality', 'Text-Video Alignment', 'Visual Quality', 'Temporal Consistency']
-TASK_INFO_v2 = ['Final Sum Score', 'Motion Quality', 'Text-Video Alignment', 'Visual Quality', 'Temporal Consistency', 'Resolution', 'FPS', 'Open Source', 'Length', 'Speed', 'Motion', 'Camera']
-
-AVG_INFO = ['Final Sum Score', 'Motion Quality', 'Text-Video Alignment', 'Visual Quality', 'Temporal Consistency']
-DATA_TITILE_TYPE = ["markdown", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number", "number"]
-CSV_DIR = "./file/result.csv"
-
-# COLUMN_NAMES = MODEL_INFO + TASK_INFO
-COLUMN_NAMES = MODEL_INFO + TASK_INFO_v2
-
-DATA_NUM = [3158, 1831, 4649, 978, 2447, 657, 97, 331, 85, 1740, 2077, 1192]
-
-
-LEADERBORAD_INTRODUCTION = """# EvalCrafter Leaderboard 🏆
-
-    Welcome to the cutting-edge leaderboard for text-to-video generation, where we meticulously evaluate state-of-the-art generative models using our comprehensive framework, ensuring high-quality results that align with user opinions. Join us in this exciting journey towards excellence! 🛫  
-
-    More methods will be evalcrafted soon, stay tunned ❤️ Join our evaluation by sending an email 📧 (vinthony@gmail.com)! You may also read the [EvalCrafter paper](https://arxiv.org/abs/2310.11440) for more detailed information 🤗
-    """
-
-TABLE_INTRODUCTION = """In the table below, we summarize each dimension performance of all the models.    """
-
-LEADERBORAD_INFO = """
-      The vision and language generative models have been overgrown in recent years. For video generation, 
-      various open-sourced models and public-available services are released for generating high-visual quality videos. 
-      However, these methods often use a few academic metrics, \eg, FVD or IS, to evaluate the performance. We argue that
-      it is hard to judge the large conditional generative models from the simple metrics since these models are often trained
-      on very large datasets with multi-aspect abilities. Thus, we propose a new framework and pipeline to exhaustively evaluate
-      the performance of the generated videos. To achieve this, we first conduct a new prompt list for text-to-video generation 
-      by analyzing the real-world prompt list with the help of the large language model. Then, we evaluate the state-of-the-art video 
-      generative models on our carefully designed benchmarks, in terms of visual qualities, content qualities, motion qualities, and 
-      text-caption alignment with around 18 objective metrics. To obtain the final leaderboard of the models, we also fit a series of
-      coefficients to align the objective metrics to the users' opinions. Based on the proposed opinion alignment method, our final score
-      shows a higher correlation than simply averaging the metrics, showing the effectiveness of the proposed evaluation method.
-"""
-
-
-
-CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
-CITATION_BUTTON_TEXT = r"""@inproceedings{Liu2023EvalCrafterBA,
-  title={EvalCrafter: Benchmarking and Evaluating Large Video Generation Models},
-  author={Yaofang Liu and Xiaodong Cun and Xuebo Liu and Xintao Wang and Yong Zhang and Haoxin Chen and Yang Liu and Tieyong Zeng and Raymond Chan and Ying Shan},
-  year={2023},
-  url={https://api.semanticscholar.org/CorpusID:264172222}
-}"""
diff --git a/spaces/AIZero2Hero4Health/5-ImageToLineDrawing-GR/README.md b/spaces/AIZero2Hero4Health/5-ImageToLineDrawing-GR/README.md
deleted file mode 100644
index 6a33d5d0a75b5838ef772cf169e9a032033fe8a3..0000000000000000000000000000000000000000
--- a/spaces/AIZero2Hero4Health/5-ImageToLineDrawing-GR/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: ZZ-ImageToLineDrawing GR
-emoji: 💻
-colorFrom: gray
-colorTo: red
-sdk: gradio
-sdk_version: 3.8.2
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/AchyuthGamer/OpenGPT-Chat-UI/src/routes/LocalDB.ts b/spaces/AchyuthGamer/OpenGPT-Chat-UI/src/routes/LocalDB.ts
deleted file mode 100644
index bb10bad57384dde920d134023ef82683d6f195e8..0000000000000000000000000000000000000000
--- a/spaces/AchyuthGamer/OpenGPT-Chat-UI/src/routes/LocalDB.ts
+++ /dev/null
@@ -1,173 +0,0 @@
-import Dexie, { type Table, liveQuery } from "dexie";
-import { refresh_chats_writable_empty, refresh_chats_writable } from "../routes/LayoutWritable";
-import { env } from "$env/dynamic/public";
-
-export interface Chat {
-	index?: number;
-	title: string;
-	id: string;
-	createdAt: Date;
-	model: string;
-	message?: Array<MessageDb>;
-}
-
-export interface MessageDb {
-	content: string;
-	from: string;
-	id: string;
-	createdAt: Date;
-	updatedAt: Date;
-}
-
-export class ChatDatabase extends Dexie {
-	chats!: Table<Chat>;
-
-	constructor() {
-		super("opengptchat");
-		this.version(16).stores({
-			chats: null,
-		});
-		this.version(17).stores({
-			chats: null,		
-		});
-		this.version(18).stores({
-			chats: "++index, title, createdAt, id, message, model",
-		});
-	}
-}
-
-export async function createChat(
-	id_chat: string,
-	msg: MessageDb | undefined,
-	model: string,
-	title?: string
-) {
-	try {
-		let title_f = "";
-		if (title === undefined) {
-			let count = (await db.chats.count()) + 1;
-			title_f = "Untitled " + count;
-		} else title_f = title;
-		const chat = {
-			id: id_chat,
-			title: title_f,
-			message: msg === undefined ? undefined : [msg],
-			createdAt: new Date(),
-			model: model,
-		};
-		const id = await db.chats.add(chat);
-	} catch (error) {
-		console.log(error);
-	}
-	let push = await getChats();
-	refresh_chats_writable.set(push);
-}
-
-export async function deleteAllChats() {
-	const chat_ret = await db.chats.clear();
-	refresh_chats_writable_empty.set(true);
-}
-
-export async function deleteChat(id_chat: string) {
-	const chat_ret = await db.chats.where("id").equals(id_chat).delete();
-	let count = await db.chats.count();
-	if (count > 0) {
-		let push = await getChats();
-		refresh_chats_writable.set(push);
-	} else {
-		refresh_chats_writable_empty.set(true);
-	}
-}
-
-export async function modifyTitle(id_chat: string, newTitle: string) {
-	const chat_ret = db.chats.where("id").equals(id_chat);
-	let count = await chat_ret.count();
-	if (count > 0) {
-		let res = await chat_ret.first();
-		chat_ret.modify({ title: newTitle });
-		let push = await getChats();
-		refresh_chats_writable.set(push);
-	}
-}
-
-export async function addMessageToChat(id_chat: string, msg: MessageDb, model: string) {
-	const chat_ret = db.chats.where("id").equals(id_chat);
-	let count = await chat_ret.count();
-	if (count < 1) {
-		createChat(id_chat, msg, model);
-	} else {
-		let msgs: MessageDb[];
-		chat_ret.first().then((res) => {
-			if (res?.message == undefined) {
-				msgs.push(msg);
-				res.message = msgs;
-			}
-			res.message.push(msg);
-			chat_ret.modify({ id: id_chat, message: res.message });
-		});
-	}
-}
-
-export async function getTitle(id_chat: string) {
-	let title_ret = env.PUBLIC_APP_NAME;
-	try {
-		const chat_ret = await db.chats.where("id").equals(id_chat).first();
-		title_ret = chat_ret!.title;
-	} catch (err) {
-		console.log(err);
-	}
-	return title_ret;
-}
-
-export async function getMessages(id_chat: string) {
-	try {
-		const chat_ret = await db.chats.where("id").equals(id_chat).first();
-		const msg = chat_ret?.message;
-		return [...msg];
-	} catch (err) {
-		console.log(err);
-	}
-	return undefined;
-}
-
-export async function getModel(id_chat: string) {
-	try {
-		const chat_ret = await db.chats.where("id").equals(id_chat).first();
-		let model = chat_ret?.model;
-		if (model === undefined) return "";
-		return model;
-	} catch (err) {
-		console.log(err);
-	}
-	return "";
-}
-
-export async function getChats() {
-	let titles = [];
-	try {
-		const all = (await db.chats.orderBy("createdAt").toArray()).forEach(function (chat) {
-			titles.push({
-				title: chat.title,
-				model: "", // Hardcoded for now
-				id: chat.id,
-				updatedAt: chat.createdAt,
-				createdAt: chat.createdAt,
-			});
-		});
-	} catch (err) {
-		console.log(err);
-	}
-	return titles;
-}
-
-export async function getChat(id_chat: string) {
-	const chat_ret = db.chats
-		.where("id")
-		.equals(id_chat)
-		.first()
-		.then((res) => {
-			return res;
-		});
-}
-
-export const db = new ChatDatabase();
diff --git a/spaces/AchyuthGamer/OpenGPT/g4f/Provider/AItianhu.py b/spaces/AchyuthGamer/OpenGPT/g4f/Provider/AItianhu.py
deleted file mode 100644
index c6e4dbadd8231fca4b49ad71f8d624c920814347..0000000000000000000000000000000000000000
--- a/spaces/AchyuthGamer/OpenGPT/g4f/Provider/AItianhu.py
+++ /dev/null
@@ -1,77 +0,0 @@
-from __future__ import annotations
-
-import json
-
-from ..typing import AsyncGenerator
-from ..requests import StreamSession
-from .base_provider import AsyncGeneratorProvider, format_prompt, get_cookies
-
-
-class AItianhu(AsyncGeneratorProvider):
-    url = "https://www.aitianhu.com"
-    working = True
-    supports_gpt_35_turbo = True
-
-    @classmethod
-    async def create_async_generator(
-        cls,
-        model: str,
-        messages: list[dict[str, str]],
-        proxy: str = None,
-        cookies: dict = None,
-        timeout: int = 30,
-        **kwargs
-    ) -> AsyncGenerator:
-        if not cookies:
-            cookies = get_cookies("www.aitianhu.com")
-        data = {
-            "prompt": format_prompt(messages),
-            "options": {},
-            "systemMessage": "You are ChatGPT, a large language model trained by OpenAI. Follow the user's instructions carefully.",
-            "temperature": 0.8,
-            "top_p": 1,
-            **kwargs
-        }
-        headers = {
-            "Authority": cls.url,
-            "Accept": "application/json, text/plain, */*",
-            "Origin": cls.url,
-            "Referer": f"{cls.url}/"
-        }
-        async with StreamSession(
-            headers=headers,
-            cookies=cookies,
-            timeout=timeout,
-            proxies={"https": proxy},
-            impersonate="chrome107",
-            verify=False
-        ) as session:
-            async with session.post(f"{cls.url}/api/chat-process", json=data) as response:
-                response.raise_for_status()
-                async for line in response.iter_lines():
-                    if line == b"<script>":
-                        raise RuntimeError("Solve challenge and pass cookies")
-                    if b"platform's risk control" in line:
-                        raise RuntimeError("Platform's Risk Control")
-                    line = json.loads(line)
-                    if "detail" in line:
-                        content = line["detail"]["choices"][0]["delta"].get("content")
-                        if content:
-                            yield content
-                    else:
-                        raise RuntimeError(f"Response: {line}")
-
-
-    @classmethod
-    @property
-    def params(cls):
-        params = [
-            ("model", "str"),
-            ("messages", "list[dict[str, str]]"),
-            ("stream", "bool"),
-            ("proxy", "str"),
-            ("temperature", "float"),
-            ("top_p", "int"),
-        ]
-        param = ", ".join([": ".join(p) for p in params])
-        return f"g4f.provider.{cls.__name__} supports: ({param})"
diff --git a/spaces/Adapter/T2I-Adapter/ldm/modules/extra_condition/midas/__init__.py b/spaces/Adapter/T2I-Adapter/ldm/modules/extra_condition/midas/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/spaces/Akmyradov/TurkmenTTSweSTT/tts.py b/spaces/Akmyradov/TurkmenTTSweSTT/tts.py
deleted file mode 100644
index 26f626155767b1af89d28d8da1b5613c30c8e8f0..0000000000000000000000000000000000000000
--- a/spaces/Akmyradov/TurkmenTTSweSTT/tts.py
+++ /dev/null
@@ -1,173 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-import os
-import re
-import tempfile
-import torch
-import sys
-import gradio as gr
-
-from huggingface_hub import hf_hub_download
-
-# Setup TTS env
-if "vits" not in sys.path:
-    sys.path.append("vits")
-
-from vits import commons, utils
-from vits.models import SynthesizerTrn
-
-
-class TextMapper(object):
-    def __init__(self, vocab_file):
-        self.symbols = [
-            x.replace("\n", "") for x in open(vocab_file, encoding="utf-8").readlines()
-        ]
-        self.SPACE_ID = self.symbols.index(" ")
-        self._symbol_to_id = {s: i for i, s in enumerate(self.symbols)}
-        self._id_to_symbol = {i: s for i, s in enumerate(self.symbols)}
-
-    def text_to_sequence(self, text, cleaner_names):
-        """Converts a string of text to a sequence of IDs corresponding to the symbols in the text.
-        Args:
-        text: string to convert to a sequence
-        cleaner_names: names of the cleaner functions to run the text through
-        Returns:
-        List of integers corresponding to the symbols in the text
-        """
-        sequence = []
-        clean_text = text.strip()
-        for symbol in clean_text:
-            symbol_id = self._symbol_to_id[symbol]
-            sequence += [symbol_id]
-        return sequence
-
-    def uromanize(self, text, uroman_pl):
-        iso = "xxx"
-        with tempfile.NamedTemporaryFile() as tf, tempfile.NamedTemporaryFile() as tf2:
-            with open(tf.name, "w") as f:
-                f.write("\n".join([text]))
-            cmd = f"perl " + uroman_pl
-            cmd += f" -l {iso} "
-            cmd += f" < {tf.name} > {tf2.name}"
-            os.system(cmd)
-            outtexts = []
-            with open(tf2.name) as f:
-                for line in f:
-                    line = re.sub(r"\s+", " ", line).strip()
-                    outtexts.append(line)
-            outtext = outtexts[0]
-        return outtext
-
-    def get_text(self, text, hps):
-        text_norm = self.text_to_sequence(text, hps.data.text_cleaners)
-        if hps.data.add_blank:
-            text_norm = commons.intersperse(text_norm, 0)
-        text_norm = torch.LongTensor(text_norm)
-        return text_norm
-
-    def filter_oov(self, text, lang=None):
-        text = self.preprocess_char(text, lang=lang)
-        val_chars = self._symbol_to_id
-        txt_filt = "".join(list(filter(lambda x: x in val_chars, text)))
-        return txt_filt
-
-    def preprocess_char(self, text, lang=None):
-        """
-        Special treatement of characters in certain languages
-        """
-        if lang == "ron":
-            text = text.replace("ț", "ţ")
-            print(f"{lang} (ț -> ţ): {text}")
-        return text
-
-
-def synthesize(text, lang, speed):
-
-    if speed is None:
-        speed = 1.0
-
-    lang_code = lang.split(":")[0].strip()
-
-    vocab_file = hf_hub_download(
-        repo_id="facebook/mms-tts",
-        filename="vocab.txt",
-        subfolder=f"models/{lang_code}",
-    )
-    config_file = hf_hub_download(
-        repo_id="facebook/mms-tts",
-        filename="config.json",
-        subfolder=f"models/{lang_code}",
-    )
-    g_pth = hf_hub_download(
-        repo_id="facebook/mms-tts",
-        filename="G_100000.pth",
-        subfolder=f"models/{lang_code}",
-    )
-
-    if torch.cuda.is_available():
-        device = torch.device("cuda")
-    elif (
-        hasattr(torch.backends, "mps")
-        and torch.backends.mps.is_available()
-        and torch.backends.mps.is_built()
-    ):
-        device = torch.device("mps")
-    else:
-        device = torch.device("cpu")
-
-    print(f"Run inference with {device}")
-
-    assert os.path.isfile(config_file), f"{config_file} doesn't exist"
-    hps = utils.get_hparams_from_file(config_file)
-    text_mapper = TextMapper(vocab_file)
-    net_g = SynthesizerTrn(
-        len(text_mapper.symbols),
-        hps.data.filter_length // 2 + 1,
-        hps.train.segment_size // hps.data.hop_length,
-        **hps.model,
-    )
-    net_g.to(device)
-    _ = net_g.eval()
-
-    _ = utils.load_checkpoint(g_pth, net_g, None)
-
-    is_uroman = hps.data.training_files.split(".")[-1] == "uroman"
-
-    if is_uroman:
-        uroman_dir = "uroman"
-        assert os.path.exists(uroman_dir)
-        uroman_pl = os.path.join(uroman_dir, "bin", "uroman.pl")
-        text = text_mapper.uromanize(text, uroman_pl)
-
-    text = text.lower()
-    text = text_mapper.filter_oov(text, lang=lang)
-    stn_tst = text_mapper.get_text(text, hps)
-    with torch.no_grad():
-        x_tst = stn_tst.unsqueeze(0).to(device)
-        x_tst_lengths = torch.LongTensor([stn_tst.size(0)]).to(device)
-        hyp = (
-            net_g.infer(
-                x_tst,
-                x_tst_lengths,
-                noise_scale=0.667,
-                noise_scale_w=0.8,
-                length_scale=1.0 / speed,
-            )[0][0, 0]
-            .cpu()
-            .float()
-            .numpy()
-        )
-
-    return gr.Audio.update(value=(hps.data.sampling_rate, hyp)), text
-
-
-TTS_EXAMPLES = [
-    ["Salam. Men indi ýuwaş ýuwaşdan size düşünip başladym", "tuk-script_latin: Turkmen"],
-    ["Türkmençe bir bilýäňmow sen?", "tuk-script_latin: Turkmen"],
-    ["Iň gowy adamlar, yzyny özüň bilýäň.", "tuk-script_latin: Turkmen"],
-    ["Siz bilen tanyşanyma örän şat.", "tuk-script_latin: Turkmen"],
-    ["Esasy zat jan saglyk.", "tuk-script_latin: Turkmen"],
-]
diff --git a/spaces/Al-Chan/Vits_League_of_Legends_Yuumi_TTS/text/korean.py b/spaces/Al-Chan/Vits_League_of_Legends_Yuumi_TTS/text/korean.py
deleted file mode 100644
index edee07429a450c55e3d8e246997faaa1e0b89cc9..0000000000000000000000000000000000000000
--- a/spaces/Al-Chan/Vits_League_of_Legends_Yuumi_TTS/text/korean.py
+++ /dev/null
@@ -1,210 +0,0 @@
-import re
-from jamo import h2j, j2hcj
-import ko_pron
-
-
-# This is a list of Korean classifiers preceded by pure Korean numerals.
-_korean_classifiers = '군데 권 개 그루 닢 대 두 마리 모 모금 뭇 발 발짝 방 번 벌 보루 살 수 술 시 쌈 움큼 정 짝 채 척 첩 축 켤레 톨 통'
-
-# List of (hangul, hangul divided) pairs:
-_hangul_divided = [(re.compile('%s' % x[0]), x[1]) for x in [
-    ('ㄳ', 'ㄱㅅ'),
-    ('ㄵ', 'ㄴㅈ'),
-    ('ㄶ', 'ㄴㅎ'),
-    ('ㄺ', 'ㄹㄱ'),
-    ('ㄻ', 'ㄹㅁ'),
-    ('ㄼ', 'ㄹㅂ'),
-    ('ㄽ', 'ㄹㅅ'),
-    ('ㄾ', 'ㄹㅌ'),
-    ('ㄿ', 'ㄹㅍ'),
-    ('ㅀ', 'ㄹㅎ'),
-    ('ㅄ', 'ㅂㅅ'),
-    ('ㅘ', 'ㅗㅏ'),
-    ('ㅙ', 'ㅗㅐ'),
-    ('ㅚ', 'ㅗㅣ'),
-    ('ㅝ', 'ㅜㅓ'),
-    ('ㅞ', 'ㅜㅔ'),
-    ('ㅟ', 'ㅜㅣ'),
-    ('ㅢ', 'ㅡㅣ'),
-    ('ㅑ', 'ㅣㅏ'),
-    ('ㅒ', 'ㅣㅐ'),
-    ('ㅕ', 'ㅣㅓ'),
-    ('ㅖ', 'ㅣㅔ'),
-    ('ㅛ', 'ㅣㅗ'),
-    ('ㅠ', 'ㅣㅜ')
-]]
-
-# List of (Latin alphabet, hangul) pairs:
-_latin_to_hangul = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
-    ('a', '에이'),
-    ('b', '비'),
-    ('c', '시'),
-    ('d', '디'),
-    ('e', '이'),
-    ('f', '에프'),
-    ('g', '지'),
-    ('h', '에이치'),
-    ('i', '아이'),
-    ('j', '제이'),
-    ('k', '케이'),
-    ('l', '엘'),
-    ('m', '엠'),
-    ('n', '엔'),
-    ('o', '오'),
-    ('p', '피'),
-    ('q', '큐'),
-    ('r', '아르'),
-    ('s', '에스'),
-    ('t', '티'),
-    ('u', '유'),
-    ('v', '브이'),
-    ('w', '더블유'),
-    ('x', '엑스'),
-    ('y', '와이'),
-    ('z', '제트')
-]]
-
-# List of (ipa, lazy ipa) pairs:
-_ipa_to_lazy_ipa = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
-    ('t͡ɕ','ʧ'),
-    ('d͡ʑ','ʥ'),
-    ('ɲ','n^'),
-    ('ɕ','ʃ'),
-    ('ʷ','w'),
-    ('ɭ','l`'),
-    ('ʎ','ɾ'),
-    ('ɣ','ŋ'),
-    ('ɰ','ɯ'),
-    ('ʝ','j'),
-    ('ʌ','ə'),
-    ('ɡ','g'),
-    ('\u031a','#'),
-    ('\u0348','='),
-    ('\u031e',''),
-    ('\u0320',''),
-    ('\u0339','')
-]]
-
-
-def latin_to_hangul(text):
-    for regex, replacement in _latin_to_hangul:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def divide_hangul(text):
-    text = j2hcj(h2j(text))
-    for regex, replacement in _hangul_divided:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def hangul_number(num, sino=True):
-    '''Reference https://github.com/Kyubyong/g2pK'''
-    num = re.sub(',', '', num)
-
-    if num == '0':
-        return '영'
-    if not sino and num == '20':
-        return '스무'
-
-    digits = '123456789'
-    names = '일이삼사오육칠팔구'
-    digit2name = {d: n for d, n in zip(digits, names)}
-
-    modifiers = '한 두 세 네 다섯 여섯 일곱 여덟 아홉'
-    decimals = '열 스물 서른 마흔 쉰 예순 일흔 여든 아흔'
-    digit2mod = {d: mod for d, mod in zip(digits, modifiers.split())}
-    digit2dec = {d: dec for d, dec in zip(digits, decimals.split())}
-
-    spelledout = []
-    for i, digit in enumerate(num):
-        i = len(num) - i - 1
-        if sino:
-            if i == 0:
-                name = digit2name.get(digit, '')
-            elif i == 1:
-                name = digit2name.get(digit, '') + '십'
-                name = name.replace('일십', '십')
-        else:
-            if i == 0:
-                name = digit2mod.get(digit, '')
-            elif i == 1:
-                name = digit2dec.get(digit, '')
-        if digit == '0':
-            if i % 4 == 0:
-                last_three = spelledout[-min(3, len(spelledout)):]
-                if ''.join(last_three) == '':
-                    spelledout.append('')
-                    continue
-            else:
-                spelledout.append('')
-                continue
-        if i == 2:
-            name = digit2name.get(digit, '') + '백'
-            name = name.replace('일백', '백')
-        elif i == 3:
-            name = digit2name.get(digit, '') + '천'
-            name = name.replace('일천', '천')
-        elif i == 4:
-            name = digit2name.get(digit, '') + '만'
-            name = name.replace('일만', '만')
-        elif i == 5:
-            name = digit2name.get(digit, '') + '십'
-            name = name.replace('일십', '십')
-        elif i == 6:
-            name = digit2name.get(digit, '') + '백'
-            name = name.replace('일백', '백')
-        elif i == 7:
-            name = digit2name.get(digit, '') + '천'
-            name = name.replace('일천', '천')
-        elif i == 8:
-            name = digit2name.get(digit, '') + '억'
-        elif i == 9:
-            name = digit2name.get(digit, '') + '십'
-        elif i == 10:
-            name = digit2name.get(digit, '') + '백'
-        elif i == 11:
-            name = digit2name.get(digit, '') + '천'
-        elif i == 12:
-            name = digit2name.get(digit, '') + '조'
-        elif i == 13:
-            name = digit2name.get(digit, '') + '십'
-        elif i == 14:
-            name = digit2name.get(digit, '') + '백'
-        elif i == 15:
-            name = digit2name.get(digit, '') + '천'
-        spelledout.append(name)
-    return ''.join(elem for elem in spelledout)
-
-
-def number_to_hangul(text):
-    '''Reference https://github.com/Kyubyong/g2pK'''
-    tokens = set(re.findall(r'(\d[\d,]*)([\uac00-\ud71f]+)', text))
-    for token in tokens:
-        num, classifier = token
-        if classifier[:2] in _korean_classifiers or classifier[0] in _korean_classifiers:
-            spelledout = hangul_number(num, sino=False)
-        else:
-            spelledout = hangul_number(num, sino=True)
-        text = text.replace(f'{num}{classifier}', f'{spelledout}{classifier}')
-    # digit by digit for remaining digits
-    digits = '0123456789'
-    names = '영일이삼사오육칠팔구'
-    for d, n in zip(digits, names):
-        text = text.replace(d, n)
-    return text
-
-
-def korean_to_lazy_ipa(text):
-    text = latin_to_hangul(text)
-    text = number_to_hangul(text)
-    text=re.sub('[\uac00-\ud7af]+',lambda x:ko_pron.romanise(x.group(0),'ipa').split('] ~ [')[0],text)
-    for regex, replacement in _ipa_to_lazy_ipa:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def korean_to_ipa(text):
-    text = korean_to_lazy_ipa(text)
-    return text.replace('ʧ','tʃ').replace('ʥ','dʑ')
diff --git a/spaces/Alpaca233/SadTalker/src/utils/hparams.py b/spaces/Alpaca233/SadTalker/src/utils/hparams.py
deleted file mode 100644
index 743c5c7d5a5a9e686f1ccd6fb3c2fb5cb382d62b..0000000000000000000000000000000000000000
--- a/spaces/Alpaca233/SadTalker/src/utils/hparams.py
+++ /dev/null
@@ -1,160 +0,0 @@
-from glob import glob
-import os
-
-class HParams:
-	def __init__(self, **kwargs):
-		self.data = {}
-
-		for key, value in kwargs.items():
-			self.data[key] = value
-
-	def __getattr__(self, key):
-		if key not in self.data:
-			raise AttributeError("'HParams' object has no attribute %s" % key)
-		return self.data[key]
-
-	def set_hparam(self, key, value):
-		self.data[key] = value
-
-
-# Default hyperparameters
-hparams = HParams(
-	num_mels=80,  # Number of mel-spectrogram channels and local conditioning dimensionality
-	#  network
-	rescale=True,  # Whether to rescale audio prior to preprocessing
-	rescaling_max=0.9,  # Rescaling value
-	
-	# Use LWS (https://github.com/Jonathan-LeRoux/lws) for STFT and phase reconstruction
-	# It"s preferred to set True to use with https://github.com/r9y9/wavenet_vocoder
-	# Does not work if n_ffit is not multiple of hop_size!!
-	use_lws=False,
-	
-	n_fft=800,  # Extra window size is filled with 0 paddings to match this parameter
-	hop_size=200,  # For 16000Hz, 200 = 12.5 ms (0.0125 * sample_rate)
-	win_size=800,  # For 16000Hz, 800 = 50 ms (If None, win_size = n_fft) (0.05 * sample_rate)
-	sample_rate=16000,  # 16000Hz (corresponding to librispeech) (sox --i <filename>)
-	
-	frame_shift_ms=None,  # Can replace hop_size parameter. (Recommended: 12.5)
-	
-	# Mel and Linear spectrograms normalization/scaling and clipping
-	signal_normalization=True,
-	# Whether to normalize mel spectrograms to some predefined range (following below parameters)
-	allow_clipping_in_normalization=True,  # Only relevant if mel_normalization = True
-	symmetric_mels=True,
-	# Whether to scale the data to be symmetric around 0. (Also multiplies the output range by 2, 
-	# faster and cleaner convergence)
-	max_abs_value=4.,
-	# max absolute value of data. If symmetric, data will be [-max, max] else [0, max] (Must not 
-	# be too big to avoid gradient explosion, 
-	# not too small for fast convergence)
-	# Contribution by @begeekmyfriend
-	# Spectrogram Pre-Emphasis (Lfilter: Reduce spectrogram noise and helps model certitude 
-	# levels. Also allows for better G&L phase reconstruction)
-	preemphasize=True,  # whether to apply filter
-	preemphasis=0.97,  # filter coefficient.
-	
-	# Limits
-	min_level_db=-100,
-	ref_level_db=20,
-	fmin=55,
-	# Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To 
-	# test depending on dataset. Pitch info: male~[65, 260], female~[100, 525])
-	fmax=7600,  # To be increased/reduced depending on data.
-
-	###################### Our training parameters #################################
-	img_size=96,
-	fps=25,
-	
-	batch_size=16,
-	initial_learning_rate=1e-4,
-	nepochs=300000,  ### ctrl + c, stop whenever eval loss is consistently greater than train loss for ~10 epochs
-	num_workers=20,
-	checkpoint_interval=3000,
-	eval_interval=3000,
-	writer_interval=300,
-    save_optimizer_state=True,
-
-    syncnet_wt=0.0, # is initially zero, will be set automatically to 0.03 later. Leads to faster convergence. 
-	syncnet_batch_size=64,
-	syncnet_lr=1e-4,
-	syncnet_eval_interval=1000,
-	syncnet_checkpoint_interval=10000,
-
-	disc_wt=0.07,
-	disc_initial_learning_rate=1e-4,
-)
-
-
-
-# Default hyperparameters
-hparamsdebug = HParams(
-	num_mels=80,  # Number of mel-spectrogram channels and local conditioning dimensionality
-	#  network
-	rescale=True,  # Whether to rescale audio prior to preprocessing
-	rescaling_max=0.9,  # Rescaling value
-	
-	# Use LWS (https://github.com/Jonathan-LeRoux/lws) for STFT and phase reconstruction
-	# It"s preferred to set True to use with https://github.com/r9y9/wavenet_vocoder
-	# Does not work if n_ffit is not multiple of hop_size!!
-	use_lws=False,
-	
-	n_fft=800,  # Extra window size is filled with 0 paddings to match this parameter
-	hop_size=200,  # For 16000Hz, 200 = 12.5 ms (0.0125 * sample_rate)
-	win_size=800,  # For 16000Hz, 800 = 50 ms (If None, win_size = n_fft) (0.05 * sample_rate)
-	sample_rate=16000,  # 16000Hz (corresponding to librispeech) (sox --i <filename>)
-	
-	frame_shift_ms=None,  # Can replace hop_size parameter. (Recommended: 12.5)
-	
-	# Mel and Linear spectrograms normalization/scaling and clipping
-	signal_normalization=True,
-	# Whether to normalize mel spectrograms to some predefined range (following below parameters)
-	allow_clipping_in_normalization=True,  # Only relevant if mel_normalization = True
-	symmetric_mels=True,
-	# Whether to scale the data to be symmetric around 0. (Also multiplies the output range by 2, 
-	# faster and cleaner convergence)
-	max_abs_value=4.,
-	# max absolute value of data. If symmetric, data will be [-max, max] else [0, max] (Must not 
-	# be too big to avoid gradient explosion, 
-	# not too small for fast convergence)
-	# Contribution by @begeekmyfriend
-	# Spectrogram Pre-Emphasis (Lfilter: Reduce spectrogram noise and helps model certitude 
-	# levels. Also allows for better G&L phase reconstruction)
-	preemphasize=True,  # whether to apply filter
-	preemphasis=0.97,  # filter coefficient.
-	
-	# Limits
-	min_level_db=-100,
-	ref_level_db=20,
-	fmin=55,
-	# Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To 
-	# test depending on dataset. Pitch info: male~[65, 260], female~[100, 525])
-	fmax=7600,  # To be increased/reduced depending on data.
-
-	###################### Our training parameters #################################
-	img_size=96,
-	fps=25,
-	
-	batch_size=2,
-	initial_learning_rate=1e-3,
-	nepochs=100000,  ### ctrl + c, stop whenever eval loss is consistently greater than train loss for ~10 epochs
-	num_workers=0,
-	checkpoint_interval=10000,
-	eval_interval=10,
-	writer_interval=5,
-    save_optimizer_state=True,
-
-    syncnet_wt=0.0, # is initially zero, will be set automatically to 0.03 later. Leads to faster convergence. 
-	syncnet_batch_size=64,
-	syncnet_lr=1e-4,
-	syncnet_eval_interval=10000,
-	syncnet_checkpoint_interval=10000,
-
-	disc_wt=0.07,
-	disc_initial_learning_rate=1e-4,
-)
-
-
-def hparams_debug_string():
-	values = hparams.values()
-	hp = ["  %s: %s" % (name, values[name]) for name in sorted(values) if name != "sentences"]
-	return "Hyperparameters:\n" + "\n".join(hp)
diff --git a/spaces/Amrrs/DragGan-Inversion/PTI/training/projectors/__init__.py b/spaces/Amrrs/DragGan-Inversion/PTI/training/projectors/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py b/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py
deleted file mode 100644
index 0cd915b423c70d7ad96a26e2063aab6030dbedc0..0000000000000000000000000000000000000000
--- a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py
+++ /dev/null
@@ -1,965 +0,0 @@
-#!/usr/bin/env python
-# coding=utf-8
-# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-
-import argparse
-import logging
-import math
-import os
-import random
-from pathlib import Path
-
-import accelerate
-import datasets
-import numpy as np
-import torch
-import torch.nn.functional as F
-import torch.utils.checkpoint
-import transformers
-from accelerate import Accelerator
-from accelerate.logging import get_logger
-from accelerate.state import AcceleratorState
-from accelerate.utils import ProjectConfiguration, set_seed
-from datasets import load_dataset
-from huggingface_hub import create_repo, upload_folder
-from onnxruntime.training.optim.fp16_optimizer import FP16_Optimizer as ORT_FP16_Optimizer
-from onnxruntime.training.ortmodule import ORTModule
-from packaging import version
-from torchvision import transforms
-from tqdm.auto import tqdm
-from transformers import CLIPTextModel, CLIPTokenizer
-from transformers.utils import ContextManagers
-
-import diffusers
-from diffusers import AutoencoderKL, DDPMScheduler, StableDiffusionPipeline, UNet2DConditionModel
-from diffusers.optimization import get_scheduler
-from diffusers.training_utils import EMAModel
-from diffusers.utils import check_min_version, deprecate, is_wandb_available
-from diffusers.utils.import_utils import is_xformers_available
-
-
-if is_wandb_available():
-    import wandb
-
-
-# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
-check_min_version("0.17.0.dev0")
-
-logger = get_logger(__name__, log_level="INFO")
-
-DATASET_NAME_MAPPING = {
-    "lambdalabs/pokemon-blip-captions": ("image", "text"),
-}
-
-
-def log_validation(vae, text_encoder, tokenizer, unet, args, accelerator, weight_dtype, epoch):
-    logger.info("Running validation... ")
-
-    pipeline = StableDiffusionPipeline.from_pretrained(
-        args.pretrained_model_name_or_path,
-        vae=accelerator.unwrap_model(vae),
-        text_encoder=accelerator.unwrap_model(text_encoder),
-        tokenizer=tokenizer,
-        unet=accelerator.unwrap_model(unet),
-        safety_checker=None,
-        revision=args.revision,
-        torch_dtype=weight_dtype,
-    )
-    pipeline = pipeline.to(accelerator.device)
-    pipeline.set_progress_bar_config(disable=True)
-
-    if args.enable_xformers_memory_efficient_attention:
-        pipeline.enable_xformers_memory_efficient_attention()
-
-    if args.seed is None:
-        generator = None
-    else:
-        generator = torch.Generator(device=accelerator.device).manual_seed(args.seed)
-
-    images = []
-    for i in range(len(args.validation_prompts)):
-        with torch.autocast("cuda"):
-            image = pipeline(args.validation_prompts[i], num_inference_steps=20, generator=generator).images[0]
-
-        images.append(image)
-
-    for tracker in accelerator.trackers:
-        if tracker.name == "tensorboard":
-            np_images = np.stack([np.asarray(img) for img in images])
-            tracker.writer.add_images("validation", np_images, epoch, dataformats="NHWC")
-        elif tracker.name == "wandb":
-            tracker.log(
-                {
-                    "validation": [
-                        wandb.Image(image, caption=f"{i}: {args.validation_prompts[i]}")
-                        for i, image in enumerate(images)
-                    ]
-                }
-            )
-        else:
-            logger.warn(f"image logging not implemented for {tracker.name}")
-
-    del pipeline
-    torch.cuda.empty_cache()
-
-
-def parse_args():
-    parser = argparse.ArgumentParser(description="Simple example of a training script.")
-    parser.add_argument(
-        "--input_pertubation", type=float, default=0, help="The scale of input pretubation. Recommended 0.1."
-    )
-    parser.add_argument(
-        "--pretrained_model_name_or_path",
-        type=str,
-        default=None,
-        required=True,
-        help="Path to pretrained model or model identifier from huggingface.co/models.",
-    )
-    parser.add_argument(
-        "--revision",
-        type=str,
-        default=None,
-        required=False,
-        help="Revision of pretrained model identifier from huggingface.co/models.",
-    )
-    parser.add_argument(
-        "--dataset_name",
-        type=str,
-        default=None,
-        help=(
-            "The name of the Dataset (from the HuggingFace hub) to train on (could be your own, possibly private,"
-            " dataset). It can also be a path pointing to a local copy of a dataset in your filesystem,"
-            " or to a folder containing files that 🤗 Datasets can understand."
-        ),
-    )
-    parser.add_argument(
-        "--dataset_config_name",
-        type=str,
-        default=None,
-        help="The config of the Dataset, leave as None if there's only one config.",
-    )
-    parser.add_argument(
-        "--train_data_dir",
-        type=str,
-        default=None,
-        help=(
-            "A folder containing the training data. Folder contents must follow the structure described in"
-            " https://huggingface.co/docs/datasets/image_dataset#imagefolder. In particular, a `metadata.jsonl` file"
-            " must exist to provide the captions for the images. Ignored if `dataset_name` is specified."
-        ),
-    )
-    parser.add_argument(
-        "--image_column", type=str, default="image", help="The column of the dataset containing an image."
-    )
-    parser.add_argument(
-        "--caption_column",
-        type=str,
-        default="text",
-        help="The column of the dataset containing a caption or a list of captions.",
-    )
-    parser.add_argument(
-        "--max_train_samples",
-        type=int,
-        default=None,
-        help=(
-            "For debugging purposes or quicker training, truncate the number of training examples to this "
-            "value if set."
-        ),
-    )
-    parser.add_argument(
-        "--validation_prompts",
-        type=str,
-        default=None,
-        nargs="+",
-        help=("A set of prompts evaluated every `--validation_epochs` and logged to `--report_to`."),
-    )
-    parser.add_argument(
-        "--output_dir",
-        type=str,
-        default="sd-model-finetuned",
-        help="The output directory where the model predictions and checkpoints will be written.",
-    )
-    parser.add_argument(
-        "--cache_dir",
-        type=str,
-        default=None,
-        help="The directory where the downloaded models and datasets will be stored.",
-    )
-    parser.add_argument("--seed", type=int, default=None, help="A seed for reproducible training.")
-    parser.add_argument(
-        "--resolution",
-        type=int,
-        default=512,
-        help=(
-            "The resolution for input images, all the images in the train/validation dataset will be resized to this"
-            " resolution"
-        ),
-    )
-    parser.add_argument(
-        "--center_crop",
-        default=False,
-        action="store_true",
-        help=(
-            "Whether to center crop the input images to the resolution. If not set, the images will be randomly"
-            " cropped. The images will be resized to the resolution first before cropping."
-        ),
-    )
-    parser.add_argument(
-        "--random_flip",
-        action="store_true",
-        help="whether to randomly flip images horizontally",
-    )
-    parser.add_argument(
-        "--train_batch_size", type=int, default=16, help="Batch size (per device) for the training dataloader."
-    )
-    parser.add_argument("--num_train_epochs", type=int, default=100)
-    parser.add_argument(
-        "--max_train_steps",
-        type=int,
-        default=None,
-        help="Total number of training steps to perform.  If provided, overrides num_train_epochs.",
-    )
-    parser.add_argument(
-        "--gradient_accumulation_steps",
-        type=int,
-        default=1,
-        help="Number of updates steps to accumulate before performing a backward/update pass.",
-    )
-    parser.add_argument(
-        "--gradient_checkpointing",
-        action="store_true",
-        help="Whether or not to use gradient checkpointing to save memory at the expense of slower backward pass.",
-    )
-    parser.add_argument(
-        "--learning_rate",
-        type=float,
-        default=1e-4,
-        help="Initial learning rate (after the potential warmup period) to use.",
-    )
-    parser.add_argument(
-        "--scale_lr",
-        action="store_true",
-        default=False,
-        help="Scale the learning rate by the number of GPUs, gradient accumulation steps, and batch size.",
-    )
-    parser.add_argument(
-        "--lr_scheduler",
-        type=str,
-        default="constant",
-        help=(
-            'The scheduler type to use. Choose between ["linear", "cosine", "cosine_with_restarts", "polynomial",'
-            ' "constant", "constant_with_warmup"]'
-        ),
-    )
-    parser.add_argument(
-        "--lr_warmup_steps", type=int, default=500, help="Number of steps for the warmup in the lr scheduler."
-    )
-    parser.add_argument(
-        "--snr_gamma",
-        type=float,
-        default=None,
-        help="SNR weighting gamma to be used if rebalancing the loss. Recommended value is 5.0. "
-        "More details here: https://arxiv.org/abs/2303.09556.",
-    )
-    parser.add_argument(
-        "--use_8bit_adam", action="store_true", help="Whether or not to use 8-bit Adam from bitsandbytes."
-    )
-    parser.add_argument(
-        "--allow_tf32",
-        action="store_true",
-        help=(
-            "Whether or not to allow TF32 on Ampere GPUs. Can be used to speed up training. For more information, see"
-            " https://pytorch.org/docs/stable/notes/cuda.html#tensorfloat-32-tf32-on-ampere-devices"
-        ),
-    )
-    parser.add_argument("--use_ema", action="store_true", help="Whether to use EMA model.")
-    parser.add_argument(
-        "--non_ema_revision",
-        type=str,
-        default=None,
-        required=False,
-        help=(
-            "Revision of pretrained non-ema model identifier. Must be a branch, tag or git identifier of the local or"
-            " remote repository specified with --pretrained_model_name_or_path."
-        ),
-    )
-    parser.add_argument(
-        "--dataloader_num_workers",
-        type=int,
-        default=0,
-        help=(
-            "Number of subprocesses to use for data loading. 0 means that the data will be loaded in the main process."
-        ),
-    )
-    parser.add_argument("--adam_beta1", type=float, default=0.9, help="The beta1 parameter for the Adam optimizer.")
-    parser.add_argument("--adam_beta2", type=float, default=0.999, help="The beta2 parameter for the Adam optimizer.")
-    parser.add_argument("--adam_weight_decay", type=float, default=1e-2, help="Weight decay to use.")
-    parser.add_argument("--adam_epsilon", type=float, default=1e-08, help="Epsilon value for the Adam optimizer")
-    parser.add_argument("--max_grad_norm", default=1.0, type=float, help="Max gradient norm.")
-    parser.add_argument("--push_to_hub", action="store_true", help="Whether or not to push the model to the Hub.")
-    parser.add_argument("--hub_token", type=str, default=None, help="The token to use to push to the Model Hub.")
-    parser.add_argument(
-        "--hub_model_id",
-        type=str,
-        default=None,
-        help="The name of the repository to keep in sync with the local `output_dir`.",
-    )
-    parser.add_argument(
-        "--logging_dir",
-        type=str,
-        default="logs",
-        help=(
-            "[TensorBoard](https://www.tensorflow.org/tensorboard) log directory. Will default to"
-            " *output_dir/runs/**CURRENT_DATETIME_HOSTNAME***."
-        ),
-    )
-    parser.add_argument(
-        "--mixed_precision",
-        type=str,
-        default=None,
-        choices=["no", "fp16", "bf16"],
-        help=(
-            "Whether to use mixed precision. Choose between fp16 and bf16 (bfloat16). Bf16 requires PyTorch >="
-            " 1.10.and an Nvidia Ampere GPU.  Default to the value of accelerate config of the current system or the"
-            " flag passed with the `accelerate.launch` command. Use this argument to override the accelerate config."
-        ),
-    )
-    parser.add_argument(
-        "--report_to",
-        type=str,
-        default="tensorboard",
-        help=(
-            'The integration to report the results and logs to. Supported platforms are `"tensorboard"`'
-            ' (default), `"wandb"` and `"comet_ml"`. Use `"all"` to report to all integrations.'
-        ),
-    )
-    parser.add_argument("--local_rank", type=int, default=-1, help="For distributed training: local_rank")
-    parser.add_argument(
-        "--checkpointing_steps",
-        type=int,
-        default=500,
-        help=(
-            "Save a checkpoint of the training state every X updates. These checkpoints are only suitable for resuming"
-            " training using `--resume_from_checkpoint`."
-        ),
-    )
-    parser.add_argument(
-        "--checkpoints_total_limit",
-        type=int,
-        default=None,
-        help=(
-            "Max number of checkpoints to store. Passed as `total_limit` to the `Accelerator` `ProjectConfiguration`."
-            " See Accelerator::save_state https://huggingface.co/docs/accelerate/package_reference/accelerator#accelerate.Accelerator.save_state"
-            " for more docs"
-        ),
-    )
-    parser.add_argument(
-        "--resume_from_checkpoint",
-        type=str,
-        default=None,
-        help=(
-            "Whether training should be resumed from a previous checkpoint. Use a path saved by"
-            ' `--checkpointing_steps`, or `"latest"` to automatically select the last available checkpoint.'
-        ),
-    )
-    parser.add_argument(
-        "--enable_xformers_memory_efficient_attention", action="store_true", help="Whether or not to use xformers."
-    )
-    parser.add_argument("--noise_offset", type=float, default=0, help="The scale of noise offset.")
-    parser.add_argument(
-        "--validation_epochs",
-        type=int,
-        default=5,
-        help="Run validation every X epochs.",
-    )
-    parser.add_argument(
-        "--tracker_project_name",
-        type=str,
-        default="text2image-fine-tune",
-        help=(
-            "The `project_name` argument passed to Accelerator.init_trackers for"
-            " more information see https://huggingface.co/docs/accelerate/v0.17.0/en/package_reference/accelerator#accelerate.Accelerator"
-        ),
-    )
-
-    args = parser.parse_args()
-    env_local_rank = int(os.environ.get("LOCAL_RANK", -1))
-    if env_local_rank != -1 and env_local_rank != args.local_rank:
-        args.local_rank = env_local_rank
-
-    # Sanity checks
-    if args.dataset_name is None and args.train_data_dir is None:
-        raise ValueError("Need either a dataset name or a training folder.")
-
-    # default to using the same revision for the non-ema model if not specified
-    if args.non_ema_revision is None:
-        args.non_ema_revision = args.revision
-
-    return args
-
-
-def main():
-    args = parse_args()
-
-    if args.non_ema_revision is not None:
-        deprecate(
-            "non_ema_revision!=None",
-            "0.15.0",
-            message=(
-                "Downloading 'non_ema' weights from revision branches of the Hub is deprecated. Please make sure to"
-                " use `--variant=non_ema` instead."
-            ),
-        )
-    logging_dir = os.path.join(args.output_dir, args.logging_dir)
-    accelerator_project_config = ProjectConfiguration(
-        total_limit=args.checkpoints_total_limit, project_dir=args.output_dir, logging_dir=logging_dir
-    )
-
-    accelerator = Accelerator(
-        gradient_accumulation_steps=args.gradient_accumulation_steps,
-        mixed_precision=args.mixed_precision,
-        log_with=args.report_to,
-        project_config=accelerator_project_config,
-    )
-
-    # Make one log on every process with the configuration for debugging.
-    logging.basicConfig(
-        format="%(asctime)s - %(levelname)s - %(name)s - %(message)s",
-        datefmt="%m/%d/%Y %H:%M:%S",
-        level=logging.INFO,
-    )
-    logger.info(accelerator.state, main_process_only=False)
-    if accelerator.is_local_main_process:
-        datasets.utils.logging.set_verbosity_warning()
-        transformers.utils.logging.set_verbosity_warning()
-        diffusers.utils.logging.set_verbosity_info()
-    else:
-        datasets.utils.logging.set_verbosity_error()
-        transformers.utils.logging.set_verbosity_error()
-        diffusers.utils.logging.set_verbosity_error()
-
-    # If passed along, set the training seed now.
-    if args.seed is not None:
-        set_seed(args.seed)
-
-    # Handle the repository creation
-    if accelerator.is_main_process:
-        if args.output_dir is not None:
-            os.makedirs(args.output_dir, exist_ok=True)
-
-        if args.push_to_hub:
-            repo_id = create_repo(
-                repo_id=args.hub_model_id or Path(args.output_dir).name, exist_ok=True, token=args.hub_token
-            ).repo_id
-
-    # Load scheduler, tokenizer and models.
-    noise_scheduler = DDPMScheduler.from_pretrained(args.pretrained_model_name_or_path, subfolder="scheduler")
-    tokenizer = CLIPTokenizer.from_pretrained(
-        args.pretrained_model_name_or_path, subfolder="tokenizer", revision=args.revision
-    )
-
-    def deepspeed_zero_init_disabled_context_manager():
-        """
-        returns either a context list that includes one that will disable zero.Init or an empty context list
-        """
-        deepspeed_plugin = AcceleratorState().deepspeed_plugin if accelerate.state.is_initialized() else None
-        if deepspeed_plugin is None:
-            return []
-
-        return [deepspeed_plugin.zero3_init_context_manager(enable=False)]
-
-    # Currently Accelerate doesn't know how to handle multiple models under Deepspeed ZeRO stage 3.
-    # For this to work properly all models must be run through `accelerate.prepare`. But accelerate
-    # will try to assign the same optimizer with the same weights to all models during
-    # `deepspeed.initialize`, which of course doesn't work.
-    #
-    # For now the following workaround will partially support Deepspeed ZeRO-3, by excluding the 2
-    # frozen models from being partitioned during `zero.Init` which gets called during
-    # `from_pretrained` So CLIPTextModel and AutoencoderKL will not enjoy the parameter sharding
-    # across multiple gpus and only UNet2DConditionModel will get ZeRO sharded.
-    with ContextManagers(deepspeed_zero_init_disabled_context_manager()):
-        text_encoder = CLIPTextModel.from_pretrained(
-            args.pretrained_model_name_or_path, subfolder="text_encoder", revision=args.revision
-        )
-        vae = AutoencoderKL.from_pretrained(
-            args.pretrained_model_name_or_path, subfolder="vae", revision=args.revision
-        )
-
-    unet = UNet2DConditionModel.from_pretrained(
-        args.pretrained_model_name_or_path, subfolder="unet", revision=args.non_ema_revision
-    )
-
-    # Freeze vae and text_encoder
-    vae.requires_grad_(False)
-    text_encoder.requires_grad_(False)
-
-    # Create EMA for the unet.
-    if args.use_ema:
-        ema_unet = UNet2DConditionModel.from_pretrained(
-            args.pretrained_model_name_or_path, subfolder="unet", revision=args.revision
-        )
-        ema_unet = EMAModel(ema_unet.parameters(), model_cls=UNet2DConditionModel, model_config=ema_unet.config)
-
-    if args.enable_xformers_memory_efficient_attention:
-        if is_xformers_available():
-            import xformers
-
-            xformers_version = version.parse(xformers.__version__)
-            if xformers_version == version.parse("0.0.16"):
-                logger.warn(
-                    "xFormers 0.0.16 cannot be used for training in some GPUs. If you observe problems during training, please update xFormers to at least 0.0.17. See https://huggingface.co/docs/diffusers/main/en/optimization/xformers for more details."
-                )
-            unet.enable_xformers_memory_efficient_attention()
-        else:
-            raise ValueError("xformers is not available. Make sure it is installed correctly")
-
-    def compute_snr(timesteps):
-        """
-        Computes SNR as per https://github.com/TiankaiHang/Min-SNR-Diffusion-Training/blob/521b624bd70c67cee4bdf49225915f5945a872e3/guided_diffusion/gaussian_diffusion.py#L847-L849
-        """
-        alphas_cumprod = noise_scheduler.alphas_cumprod
-        sqrt_alphas_cumprod = alphas_cumprod**0.5
-        sqrt_one_minus_alphas_cumprod = (1.0 - alphas_cumprod) ** 0.5
-
-        # Expand the tensors.
-        # Adapted from https://github.com/TiankaiHang/Min-SNR-Diffusion-Training/blob/521b624bd70c67cee4bdf49225915f5945a872e3/guided_diffusion/gaussian_diffusion.py#L1026
-        sqrt_alphas_cumprod = sqrt_alphas_cumprod.to(device=timesteps.device)[timesteps].float()
-        while len(sqrt_alphas_cumprod.shape) < len(timesteps.shape):
-            sqrt_alphas_cumprod = sqrt_alphas_cumprod[..., None]
-        alpha = sqrt_alphas_cumprod.expand(timesteps.shape)
-
-        sqrt_one_minus_alphas_cumprod = sqrt_one_minus_alphas_cumprod.to(device=timesteps.device)[timesteps].float()
-        while len(sqrt_one_minus_alphas_cumprod.shape) < len(timesteps.shape):
-            sqrt_one_minus_alphas_cumprod = sqrt_one_minus_alphas_cumprod[..., None]
-        sigma = sqrt_one_minus_alphas_cumprod.expand(timesteps.shape)
-
-        # Compute SNR.
-        snr = (alpha / sigma) ** 2
-        return snr
-
-    # `accelerate` 0.16.0 will have better support for customized saving
-    if version.parse(accelerate.__version__) >= version.parse("0.16.0"):
-        # create custom saving & loading hooks so that `accelerator.save_state(...)` serializes in a nice format
-        def save_model_hook(models, weights, output_dir):
-            if args.use_ema:
-                ema_unet.save_pretrained(os.path.join(output_dir, "unet_ema"))
-
-            for i, model in enumerate(models):
-                model.save_pretrained(os.path.join(output_dir, "unet"))
-
-                # make sure to pop weight so that corresponding model is not saved again
-                weights.pop()
-
-        def load_model_hook(models, input_dir):
-            if args.use_ema:
-                load_model = EMAModel.from_pretrained(os.path.join(input_dir, "unet_ema"), UNet2DConditionModel)
-                ema_unet.load_state_dict(load_model.state_dict())
-                ema_unet.to(accelerator.device)
-                del load_model
-
-            for i in range(len(models)):
-                # pop models so that they are not loaded again
-                model = models.pop()
-
-                # load diffusers style into model
-                load_model = UNet2DConditionModel.from_pretrained(input_dir, subfolder="unet")
-                model.register_to_config(**load_model.config)
-
-                model.load_state_dict(load_model.state_dict())
-                del load_model
-
-        accelerator.register_save_state_pre_hook(save_model_hook)
-        accelerator.register_load_state_pre_hook(load_model_hook)
-
-    if args.gradient_checkpointing:
-        unet.enable_gradient_checkpointing()
-
-    # Enable TF32 for faster training on Ampere GPUs,
-    # cf https://pytorch.org/docs/stable/notes/cuda.html#tensorfloat-32-tf32-on-ampere-devices
-    if args.allow_tf32:
-        torch.backends.cuda.matmul.allow_tf32 = True
-
-    if args.scale_lr:
-        args.learning_rate = (
-            args.learning_rate * args.gradient_accumulation_steps * args.train_batch_size * accelerator.num_processes
-        )
-
-    # Initialize the optimizer
-    if args.use_8bit_adam:
-        try:
-            import bitsandbytes as bnb
-        except ImportError:
-            raise ImportError(
-                "Please install bitsandbytes to use 8-bit Adam. You can do so by running `pip install bitsandbytes`"
-            )
-
-        optimizer_cls = bnb.optim.AdamW8bit
-    else:
-        optimizer_cls = torch.optim.AdamW
-
-    optimizer = optimizer_cls(
-        unet.parameters(),
-        lr=args.learning_rate,
-        betas=(args.adam_beta1, args.adam_beta2),
-        weight_decay=args.adam_weight_decay,
-        eps=args.adam_epsilon,
-    )
-
-    optimizer = ORT_FP16_Optimizer(optimizer)
-
-    # Get the datasets: you can either provide your own training and evaluation files (see below)
-    # or specify a Dataset from the hub (the dataset will be downloaded automatically from the datasets Hub).
-
-    # In distributed training, the load_dataset function guarantees that only one local process can concurrently
-    # download the dataset.
-    if args.dataset_name is not None:
-        # Downloading and loading a dataset from the hub.
-        dataset = load_dataset(
-            args.dataset_name,
-            args.dataset_config_name,
-            cache_dir=args.cache_dir,
-        )
-    else:
-        data_files = {}
-        if args.train_data_dir is not None:
-            data_files["train"] = os.path.join(args.train_data_dir, "**")
-        dataset = load_dataset(
-            "imagefolder",
-            data_files=data_files,
-            cache_dir=args.cache_dir,
-        )
-        # See more about loading custom images at
-        # https://huggingface.co/docs/datasets/v2.4.0/en/image_load#imagefolder
-
-    # Preprocessing the datasets.
-    # We need to tokenize inputs and targets.
-    column_names = dataset["train"].column_names
-
-    # 6. Get the column names for input/target.
-    dataset_columns = DATASET_NAME_MAPPING.get(args.dataset_name, None)
-    if args.image_column is None:
-        image_column = dataset_columns[0] if dataset_columns is not None else column_names[0]
-    else:
-        image_column = args.image_column
-        if image_column not in column_names:
-            raise ValueError(
-                f"--image_column' value '{args.image_column}' needs to be one of: {', '.join(column_names)}"
-            )
-    if args.caption_column is None:
-        caption_column = dataset_columns[1] if dataset_columns is not None else column_names[1]
-    else:
-        caption_column = args.caption_column
-        if caption_column not in column_names:
-            raise ValueError(
-                f"--caption_column' value '{args.caption_column}' needs to be one of: {', '.join(column_names)}"
-            )
-
-    # Preprocessing the datasets.
-    # We need to tokenize input captions and transform the images.
-    def tokenize_captions(examples, is_train=True):
-        captions = []
-        for caption in examples[caption_column]:
-            if isinstance(caption, str):
-                captions.append(caption)
-            elif isinstance(caption, (list, np.ndarray)):
-                # take a random caption if there are multiple
-                captions.append(random.choice(caption) if is_train else caption[0])
-            else:
-                raise ValueError(
-                    f"Caption column `{caption_column}` should contain either strings or lists of strings."
-                )
-        inputs = tokenizer(
-            captions, max_length=tokenizer.model_max_length, padding="max_length", truncation=True, return_tensors="pt"
-        )
-        return inputs.input_ids
-
-    # Preprocessing the datasets.
-    train_transforms = transforms.Compose(
-        [
-            transforms.Resize(args.resolution, interpolation=transforms.InterpolationMode.BILINEAR),
-            transforms.CenterCrop(args.resolution) if args.center_crop else transforms.RandomCrop(args.resolution),
-            transforms.RandomHorizontalFlip() if args.random_flip else transforms.Lambda(lambda x: x),
-            transforms.ToTensor(),
-            transforms.Normalize([0.5], [0.5]),
-        ]
-    )
-
-    def preprocess_train(examples):
-        images = [image.convert("RGB") for image in examples[image_column]]
-        examples["pixel_values"] = [train_transforms(image) for image in images]
-        examples["input_ids"] = tokenize_captions(examples)
-        return examples
-
-    with accelerator.main_process_first():
-        if args.max_train_samples is not None:
-            dataset["train"] = dataset["train"].shuffle(seed=args.seed).select(range(args.max_train_samples))
-        # Set the training transforms
-        train_dataset = dataset["train"].with_transform(preprocess_train)
-
-    def collate_fn(examples):
-        pixel_values = torch.stack([example["pixel_values"] for example in examples])
-        pixel_values = pixel_values.to(memory_format=torch.contiguous_format).float()
-        input_ids = torch.stack([example["input_ids"] for example in examples])
-        return {"pixel_values": pixel_values, "input_ids": input_ids}
-
-    # DataLoaders creation:
-    train_dataloader = torch.utils.data.DataLoader(
-        train_dataset,
-        shuffle=True,
-        collate_fn=collate_fn,
-        batch_size=args.train_batch_size,
-        num_workers=args.dataloader_num_workers,
-    )
-
-    # Scheduler and math around the number of training steps.
-    overrode_max_train_steps = False
-    num_update_steps_per_epoch = math.ceil(len(train_dataloader) / args.gradient_accumulation_steps)
-    if args.max_train_steps is None:
-        args.max_train_steps = args.num_train_epochs * num_update_steps_per_epoch
-        overrode_max_train_steps = True
-
-    lr_scheduler = get_scheduler(
-        args.lr_scheduler,
-        optimizer=optimizer,
-        num_warmup_steps=args.lr_warmup_steps * accelerator.num_processes,
-        num_training_steps=args.max_train_steps * accelerator.num_processes,
-    )
-
-    # Prepare everything with our `accelerator`.
-    unet, optimizer, train_dataloader, lr_scheduler = accelerator.prepare(
-        unet, optimizer, train_dataloader, lr_scheduler
-    )
-
-    if args.use_ema:
-        ema_unet.to(accelerator.device)
-
-    unet = ORTModule(unet)
-
-    # For mixed precision training we cast the text_encoder and vae weights to half-precision
-    # as these models are only used for inference, keeping weights in full precision is not required.
-    weight_dtype = torch.float32
-    if accelerator.mixed_precision == "fp16":
-        weight_dtype = torch.float16
-    elif accelerator.mixed_precision == "bf16":
-        weight_dtype = torch.bfloat16
-
-    # Move text_encode and vae to gpu and cast to weight_dtype
-    text_encoder.to(accelerator.device, dtype=weight_dtype)
-    vae.to(accelerator.device, dtype=weight_dtype)
-
-    # We need to recalculate our total training steps as the size of the training dataloader may have changed.
-    num_update_steps_per_epoch = math.ceil(len(train_dataloader) / args.gradient_accumulation_steps)
-    if overrode_max_train_steps:
-        args.max_train_steps = args.num_train_epochs * num_update_steps_per_epoch
-    # Afterwards we recalculate our number of training epochs
-    args.num_train_epochs = math.ceil(args.max_train_steps / num_update_steps_per_epoch)
-
-    # We need to initialize the trackers we use, and also store our configuration.
-    # The trackers initializes automatically on the main process.
-    if accelerator.is_main_process:
-        tracker_config = dict(vars(args))
-        tracker_config.pop("validation_prompts")
-        accelerator.init_trackers(args.tracker_project_name, tracker_config)
-
-    # Train!
-    total_batch_size = args.train_batch_size * accelerator.num_processes * args.gradient_accumulation_steps
-
-    logger.info("***** Running training *****")
-    logger.info(f"  Num examples = {len(train_dataset)}")
-    logger.info(f"  Num Epochs = {args.num_train_epochs}")
-    logger.info(f"  Instantaneous batch size per device = {args.train_batch_size}")
-    logger.info(f"  Total train batch size (w. parallel, distributed & accumulation) = {total_batch_size}")
-    logger.info(f"  Gradient Accumulation steps = {args.gradient_accumulation_steps}")
-    logger.info(f"  Total optimization steps = {args.max_train_steps}")
-    global_step = 0
-    first_epoch = 0
-
-    # Potentially load in the weights and states from a previous save
-    if args.resume_from_checkpoint:
-        if args.resume_from_checkpoint != "latest":
-            path = os.path.basename(args.resume_from_checkpoint)
-        else:
-            # Get the most recent checkpoint
-            dirs = os.listdir(args.output_dir)
-            dirs = [d for d in dirs if d.startswith("checkpoint")]
-            dirs = sorted(dirs, key=lambda x: int(x.split("-")[1]))
-            path = dirs[-1] if len(dirs) > 0 else None
-
-        if path is None:
-            accelerator.print(
-                f"Checkpoint '{args.resume_from_checkpoint}' does not exist. Starting a new training run."
-            )
-            args.resume_from_checkpoint = None
-        else:
-            accelerator.print(f"Resuming from checkpoint {path}")
-            accelerator.load_state(os.path.join(args.output_dir, path))
-            global_step = int(path.split("-")[1])
-
-            resume_global_step = global_step * args.gradient_accumulation_steps
-            first_epoch = global_step // num_update_steps_per_epoch
-            resume_step = resume_global_step % (num_update_steps_per_epoch * args.gradient_accumulation_steps)
-
-    # Only show the progress bar once on each machine.
-    progress_bar = tqdm(range(global_step, args.max_train_steps), disable=not accelerator.is_local_main_process)
-    progress_bar.set_description("Steps")
-
-    for epoch in range(first_epoch, args.num_train_epochs):
-        unet.train()
-        train_loss = 0.0
-        for step, batch in enumerate(train_dataloader):
-            # Skip steps until we reach the resumed step
-            if args.resume_from_checkpoint and epoch == first_epoch and step < resume_step:
-                if step % args.gradient_accumulation_steps == 0:
-                    progress_bar.update(1)
-                continue
-
-            with accelerator.accumulate(unet):
-                # Convert images to latent space
-                latents = vae.encode(batch["pixel_values"].to(weight_dtype)).latent_dist.sample()
-                latents = latents * vae.config.scaling_factor
-
-                # Sample noise that we'll add to the latents
-                noise = torch.randn_like(latents)
-                if args.noise_offset:
-                    # https://www.crosslabs.org//blog/diffusion-with-offset-noise
-                    noise += args.noise_offset * torch.randn(
-                        (latents.shape[0], latents.shape[1], 1, 1), device=latents.device
-                    )
-                if args.input_pertubation:
-                    new_noise = noise + args.input_pertubation * torch.randn_like(noise)
-                bsz = latents.shape[0]
-                # Sample a random timestep for each image
-                timesteps = torch.randint(0, noise_scheduler.config.num_train_timesteps, (bsz,), device=latents.device)
-                timesteps = timesteps.long()
-
-                # Add noise to the latents according to the noise magnitude at each timestep
-                # (this is the forward diffusion process)
-                if args.input_pertubation:
-                    noisy_latents = noise_scheduler.add_noise(latents, new_noise, timesteps)
-                else:
-                    noisy_latents = noise_scheduler.add_noise(latents, noise, timesteps)
-
-                # Get the text embedding for conditioning
-                encoder_hidden_states = text_encoder(batch["input_ids"])[0]
-
-                # Get the target for loss depending on the prediction type
-                if noise_scheduler.config.prediction_type == "epsilon":
-                    target = noise
-                elif noise_scheduler.config.prediction_type == "v_prediction":
-                    target = noise_scheduler.get_velocity(latents, noise, timesteps)
-                else:
-                    raise ValueError(f"Unknown prediction type {noise_scheduler.config.prediction_type}")
-
-                # Predict the noise residual and compute loss
-                model_pred = unet(noisy_latents, timesteps, encoder_hidden_states).sample
-
-                if args.snr_gamma is None:
-                    loss = F.mse_loss(model_pred.float(), target.float(), reduction="mean")
-                else:
-                    # Compute loss-weights as per Section 3.4 of https://arxiv.org/abs/2303.09556.
-                    # Since we predict the noise instead of x_0, the original formulation is slightly changed.
-                    # This is discussed in Section 4.2 of the same paper.
-                    snr = compute_snr(timesteps)
-                    mse_loss_weights = (
-                        torch.stack([snr, args.snr_gamma * torch.ones_like(timesteps)], dim=1).min(dim=1)[0] / snr
-                    )
-                    # We first calculate the original loss. Then we mean over the non-batch dimensions and
-                    # rebalance the sample-wise losses with their respective loss weights.
-                    # Finally, we take the mean of the rebalanced loss.
-                    loss = F.mse_loss(model_pred.float(), target.float(), reduction="none")
-                    loss = loss.mean(dim=list(range(1, len(loss.shape)))) * mse_loss_weights
-                    loss = loss.mean()
-
-                # Gather the losses across all processes for logging (if we use distributed training).
-                avg_loss = accelerator.gather(loss.repeat(args.train_batch_size)).mean()
-                train_loss += avg_loss.item() / args.gradient_accumulation_steps
-
-                # Backpropagate
-                accelerator.backward(loss)
-                if accelerator.sync_gradients:
-                    accelerator.clip_grad_norm_(unet.parameters(), args.max_grad_norm)
-                optimizer.step()
-                lr_scheduler.step()
-                optimizer.zero_grad()
-
-            # Checks if the accelerator has performed an optimization step behind the scenes
-            if accelerator.sync_gradients:
-                if args.use_ema:
-                    ema_unet.step(unet.parameters())
-                progress_bar.update(1)
-                global_step += 1
-                accelerator.log({"train_loss": train_loss}, step=global_step)
-                train_loss = 0.0
-
-                if global_step % args.checkpointing_steps == 0:
-                    if accelerator.is_main_process:
-                        save_path = os.path.join(args.output_dir, f"checkpoint-{global_step}")
-                        accelerator.save_state(save_path)
-                        logger.info(f"Saved state to {save_path}")
-
-            logs = {"step_loss": loss.detach().item(), "lr": lr_scheduler.get_last_lr()[0]}
-            progress_bar.set_postfix(**logs)
-
-            if global_step >= args.max_train_steps:
-                break
-
-        if accelerator.is_main_process:
-            if args.validation_prompts is not None and epoch % args.validation_epochs == 0:
-                if args.use_ema:
-                    # Store the UNet parameters temporarily and load the EMA parameters to perform inference.
-                    ema_unet.store(unet.parameters())
-                    ema_unet.copy_to(unet.parameters())
-                log_validation(
-                    vae,
-                    text_encoder,
-                    tokenizer,
-                    unet,
-                    args,
-                    accelerator,
-                    weight_dtype,
-                    global_step,
-                )
-                if args.use_ema:
-                    # Switch back to the original UNet parameters.
-                    ema_unet.restore(unet.parameters())
-
-    # Create the pipeline using the trained modules and save it.
-    accelerator.wait_for_everyone()
-    if accelerator.is_main_process:
-        unet = accelerator.unwrap_model(unet)
-        if args.use_ema:
-            ema_unet.copy_to(unet.parameters())
-
-        pipeline = StableDiffusionPipeline.from_pretrained(
-            args.pretrained_model_name_or_path,
-            text_encoder=text_encoder,
-            vae=vae,
-            unet=unet,
-            revision=args.revision,
-        )
-        pipeline.save_pretrained(args.output_dir)
-
-        if args.push_to_hub:
-            upload_folder(
-                repo_id=repo_id,
-                folder_path=args.output_dir,
-                commit_message="End of training",
-                ignore_patterns=["step_*", "epoch_*"],
-            )
-
-    accelerator.end_training()
-
-
-if __name__ == "__main__":
-    main()
diff --git a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py b/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py
deleted file mode 100644
index a161239b67672dbdb18b7aeec2ea9af4861116cf..0000000000000000000000000000000000000000
--- a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/controlnet/pipeline_controlnet_img2img.py
+++ /dev/null
@@ -1,1102 +0,0 @@
-# Copyright 2023 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-import inspect
-import warnings
-from typing import Any, Callable, Dict, List, Optional, Tuple, Union
-
-import numpy as np
-import PIL.Image
-import torch
-import torch.nn.functional as F
-from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer
-
-from ...image_processor import VaeImageProcessor
-from ...loaders import FromSingleFileMixin, LoraLoaderMixin, TextualInversionLoaderMixin
-from ...models import AutoencoderKL, ControlNetModel, UNet2DConditionModel
-from ...schedulers import KarrasDiffusionSchedulers
-from ...utils import (
-    deprecate,
-    is_accelerate_available,
-    is_accelerate_version,
-    is_compiled_module,
-    logging,
-    randn_tensor,
-    replace_example_docstring,
-)
-from ..pipeline_utils import DiffusionPipeline
-from ..stable_diffusion import StableDiffusionPipelineOutput
-from ..stable_diffusion.safety_checker import StableDiffusionSafetyChecker
-from .multicontrolnet import MultiControlNetModel
-
-
-logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
-
-
-EXAMPLE_DOC_STRING = """
-    Examples:
-        ```py
-        >>> # !pip install opencv-python transformers accelerate
-        >>> from diffusers import StableDiffusionControlNetImg2ImgPipeline, ControlNetModel, UniPCMultistepScheduler
-        >>> from diffusers.utils import load_image
-        >>> import numpy as np
-        >>> import torch
-
-        >>> import cv2
-        >>> from PIL import Image
-
-        >>> # download an image
-        >>> image = load_image(
-        ...     "https://hf.co/datasets/huggingface/documentation-images/resolve/main/diffusers/input_image_vermeer.png"
-        ... )
-        >>> np_image = np.array(image)
-
-        >>> # get canny image
-        >>> np_image = cv2.Canny(np_image, 100, 200)
-        >>> np_image = np_image[:, :, None]
-        >>> np_image = np.concatenate([np_image, np_image, np_image], axis=2)
-        >>> canny_image = Image.fromarray(np_image)
-
-        >>> # load control net and stable diffusion v1-5
-        >>> controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-canny", torch_dtype=torch.float16)
-        >>> pipe = StableDiffusionControlNetImg2ImgPipeline.from_pretrained(
-        ...     "runwayml/stable-diffusion-v1-5", controlnet=controlnet, torch_dtype=torch.float16
-        ... )
-
-        >>> # speed up diffusion process with faster scheduler and memory optimization
-        >>> pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
-        >>> pipe.enable_model_cpu_offload()
-
-        >>> # generate image
-        >>> generator = torch.manual_seed(0)
-        >>> image = pipe(
-        ...     "futuristic-looking woman",
-        ...     num_inference_steps=20,
-        ...     generator=generator,
-        ...     image=image,
-        ...     control_image=canny_image,
-        ... ).images[0]
-        ```
-"""
-
-
-def prepare_image(image):
-    if isinstance(image, torch.Tensor):
-        # Batch single image
-        if image.ndim == 3:
-            image = image.unsqueeze(0)
-
-        image = image.to(dtype=torch.float32)
-    else:
-        # preprocess image
-        if isinstance(image, (PIL.Image.Image, np.ndarray)):
-            image = [image]
-
-        if isinstance(image, list) and isinstance(image[0], PIL.Image.Image):
-            image = [np.array(i.convert("RGB"))[None, :] for i in image]
-            image = np.concatenate(image, axis=0)
-        elif isinstance(image, list) and isinstance(image[0], np.ndarray):
-            image = np.concatenate([i[None, :] for i in image], axis=0)
-
-        image = image.transpose(0, 3, 1, 2)
-        image = torch.from_numpy(image).to(dtype=torch.float32) / 127.5 - 1.0
-
-    return image
-
-
-class StableDiffusionControlNetImg2ImgPipeline(
-    DiffusionPipeline, TextualInversionLoaderMixin, LoraLoaderMixin, FromSingleFileMixin
-):
-    r"""
-    Pipeline for text-to-image generation using Stable Diffusion with ControlNet guidance.
-
-    This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods the
-    library implements for all the pipelines (such as downloading or saving, running on a particular device, etc.)
-
-    In addition the pipeline inherits the following loading methods:
-        - *Textual-Inversion*: [`loaders.TextualInversionLoaderMixin.load_textual_inversion`]
-
-    Args:
-        vae ([`AutoencoderKL`]):
-            Variational Auto-Encoder (VAE) Model to encode and decode images to and from latent representations.
-        text_encoder ([`CLIPTextModel`]):
-            Frozen text-encoder. Stable Diffusion uses the text portion of
-            [CLIP](https://huggingface.co/docs/transformers/model_doc/clip#transformers.CLIPTextModel), specifically
-            the [clip-vit-large-patch14](https://huggingface.co/openai/clip-vit-large-patch14) variant.
-        tokenizer (`CLIPTokenizer`):
-            Tokenizer of class
-            [CLIPTokenizer](https://huggingface.co/docs/transformers/v4.21.0/en/model_doc/clip#transformers.CLIPTokenizer).
-        unet ([`UNet2DConditionModel`]): Conditional U-Net architecture to denoise the encoded image latents.
-        controlnet ([`ControlNetModel`] or `List[ControlNetModel]`):
-            Provides additional conditioning to the unet during the denoising process. If you set multiple ControlNets
-            as a list, the outputs from each ControlNet are added together to create one combined additional
-            conditioning.
-        scheduler ([`SchedulerMixin`]):
-            A scheduler to be used in combination with `unet` to denoise the encoded image latents. Can be one of
-            [`DDIMScheduler`], [`LMSDiscreteScheduler`], or [`PNDMScheduler`].
-        safety_checker ([`StableDiffusionSafetyChecker`]):
-            Classification module that estimates whether generated images could be considered offensive or harmful.
-            Please, refer to the [model card](https://huggingface.co/runwayml/stable-diffusion-v1-5) for details.
-        feature_extractor ([`CLIPImageProcessor`]):
-            Model that extracts features from generated images to be used as inputs for the `safety_checker`.
-    """
-    _optional_components = ["safety_checker", "feature_extractor"]
-
-    def __init__(
-        self,
-        vae: AutoencoderKL,
-        text_encoder: CLIPTextModel,
-        tokenizer: CLIPTokenizer,
-        unet: UNet2DConditionModel,
-        controlnet: Union[ControlNetModel, List[ControlNetModel], Tuple[ControlNetModel], MultiControlNetModel],
-        scheduler: KarrasDiffusionSchedulers,
-        safety_checker: StableDiffusionSafetyChecker,
-        feature_extractor: CLIPImageProcessor,
-        requires_safety_checker: bool = True,
-    ):
-        super().__init__()
-
-        if safety_checker is None and requires_safety_checker:
-            logger.warning(
-                f"You have disabled the safety checker for {self.__class__} by passing `safety_checker=None`. Ensure"
-                " that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered"
-                " results in services or applications open to the public. Both the diffusers team and Hugging Face"
-                " strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling"
-                " it only for use-cases that involve analyzing network behavior or auditing its results. For more"
-                " information, please have a look at https://github.com/huggingface/diffusers/pull/254 ."
-            )
-
-        if safety_checker is not None and feature_extractor is None:
-            raise ValueError(
-                "Make sure to define a feature extractor when loading {self.__class__} if you want to use the safety"
-                " checker. If you do not want to use the safety checker, you can pass `'safety_checker=None'` instead."
-            )
-
-        if isinstance(controlnet, (list, tuple)):
-            controlnet = MultiControlNetModel(controlnet)
-
-        self.register_modules(
-            vae=vae,
-            text_encoder=text_encoder,
-            tokenizer=tokenizer,
-            unet=unet,
-            controlnet=controlnet,
-            scheduler=scheduler,
-            safety_checker=safety_checker,
-            feature_extractor=feature_extractor,
-        )
-        self.vae_scale_factor = 2 ** (len(self.vae.config.block_out_channels) - 1)
-        self.image_processor = VaeImageProcessor(vae_scale_factor=self.vae_scale_factor, do_convert_rgb=True)
-        self.control_image_processor = VaeImageProcessor(
-            vae_scale_factor=self.vae_scale_factor, do_convert_rgb=True, do_normalize=False
-        )
-        self.register_to_config(requires_safety_checker=requires_safety_checker)
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.enable_vae_slicing
-    def enable_vae_slicing(self):
-        r"""
-        Enable sliced VAE decoding. When this option is enabled, the VAE will split the input tensor in slices to
-        compute decoding in several steps. This is useful to save some memory and allow larger batch sizes.
-        """
-        self.vae.enable_slicing()
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.disable_vae_slicing
-    def disable_vae_slicing(self):
-        r"""
-        Disable sliced VAE decoding. If `enable_vae_slicing` was previously enabled, this method will go back to
-        computing decoding in one step.
-        """
-        self.vae.disable_slicing()
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.enable_vae_tiling
-    def enable_vae_tiling(self):
-        r"""
-        Enable tiled VAE decoding. When this option is enabled, the VAE will split the input tensor into tiles to
-        compute decoding and encoding in several steps. This is useful for saving a large amount of memory and to allow
-        processing larger images.
-        """
-        self.vae.enable_tiling()
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.disable_vae_tiling
-    def disable_vae_tiling(self):
-        r"""
-        Disable tiled VAE decoding. If `enable_vae_tiling` was previously enabled, this method will go back to
-        computing decoding in one step.
-        """
-        self.vae.disable_tiling()
-
-    def enable_model_cpu_offload(self, gpu_id=0):
-        r"""
-        Offloads all models to CPU using accelerate, reducing memory usage with a low impact on performance. Compared
-        to `enable_sequential_cpu_offload`, this method moves one whole model at a time to the GPU when its `forward`
-        method is called, and the model remains in GPU until the next model runs. Memory savings are lower than with
-        `enable_sequential_cpu_offload`, but performance is much better due to the iterative execution of the `unet`.
-        """
-        if is_accelerate_available() and is_accelerate_version(">=", "0.17.0.dev0"):
-            from accelerate import cpu_offload_with_hook
-        else:
-            raise ImportError("`enable_model_cpu_offload` requires `accelerate v0.17.0` or higher.")
-
-        device = torch.device(f"cuda:{gpu_id}")
-
-        hook = None
-        for cpu_offloaded_model in [self.text_encoder, self.unet, self.vae]:
-            _, hook = cpu_offload_with_hook(cpu_offloaded_model, device, prev_module_hook=hook)
-
-        if self.safety_checker is not None:
-            # the safety checker can offload the vae again
-            _, hook = cpu_offload_with_hook(self.safety_checker, device, prev_module_hook=hook)
-
-        # control net hook has be manually offloaded as it alternates with unet
-        cpu_offload_with_hook(self.controlnet, device)
-
-        # We'll offload the last model manually.
-        self.final_offload_hook = hook
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline._encode_prompt
-    def _encode_prompt(
-        self,
-        prompt,
-        device,
-        num_images_per_prompt,
-        do_classifier_free_guidance,
-        negative_prompt=None,
-        prompt_embeds: Optional[torch.FloatTensor] = None,
-        negative_prompt_embeds: Optional[torch.FloatTensor] = None,
-        lora_scale: Optional[float] = None,
-    ):
-        r"""
-        Encodes the prompt into text encoder hidden states.
-
-        Args:
-             prompt (`str` or `List[str]`, *optional*):
-                prompt to be encoded
-            device: (`torch.device`):
-                torch device
-            num_images_per_prompt (`int`):
-                number of images that should be generated per prompt
-            do_classifier_free_guidance (`bool`):
-                whether to use classifier free guidance or not
-            negative_prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts not to guide the image generation. If not defined, one has to pass
-                `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is
-                less than `1`).
-            prompt_embeds (`torch.FloatTensor`, *optional*):
-                Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
-                provided, text embeddings will be generated from `prompt` input argument.
-            negative_prompt_embeds (`torch.FloatTensor`, *optional*):
-                Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
-                weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
-                argument.
-            lora_scale (`float`, *optional*):
-                A lora scale that will be applied to all LoRA layers of the text encoder if LoRA layers are loaded.
-        """
-        # set lora scale so that monkey patched LoRA
-        # function of text encoder can correctly access it
-        if lora_scale is not None and isinstance(self, LoraLoaderMixin):
-            self._lora_scale = lora_scale
-
-        if prompt is not None and isinstance(prompt, str):
-            batch_size = 1
-        elif prompt is not None and isinstance(prompt, list):
-            batch_size = len(prompt)
-        else:
-            batch_size = prompt_embeds.shape[0]
-
-        if prompt_embeds is None:
-            # textual inversion: procecss multi-vector tokens if necessary
-            if isinstance(self, TextualInversionLoaderMixin):
-                prompt = self.maybe_convert_prompt(prompt, self.tokenizer)
-
-            text_inputs = self.tokenizer(
-                prompt,
-                padding="max_length",
-                max_length=self.tokenizer.model_max_length,
-                truncation=True,
-                return_tensors="pt",
-            )
-            text_input_ids = text_inputs.input_ids
-            untruncated_ids = self.tokenizer(prompt, padding="longest", return_tensors="pt").input_ids
-
-            if untruncated_ids.shape[-1] >= text_input_ids.shape[-1] and not torch.equal(
-                text_input_ids, untruncated_ids
-            ):
-                removed_text = self.tokenizer.batch_decode(
-                    untruncated_ids[:, self.tokenizer.model_max_length - 1 : -1]
-                )
-                logger.warning(
-                    "The following part of your input was truncated because CLIP can only handle sequences up to"
-                    f" {self.tokenizer.model_max_length} tokens: {removed_text}"
-                )
-
-            if hasattr(self.text_encoder.config, "use_attention_mask") and self.text_encoder.config.use_attention_mask:
-                attention_mask = text_inputs.attention_mask.to(device)
-            else:
-                attention_mask = None
-
-            prompt_embeds = self.text_encoder(
-                text_input_ids.to(device),
-                attention_mask=attention_mask,
-            )
-            prompt_embeds = prompt_embeds[0]
-
-        prompt_embeds = prompt_embeds.to(dtype=self.text_encoder.dtype, device=device)
-
-        bs_embed, seq_len, _ = prompt_embeds.shape
-        # duplicate text embeddings for each generation per prompt, using mps friendly method
-        prompt_embeds = prompt_embeds.repeat(1, num_images_per_prompt, 1)
-        prompt_embeds = prompt_embeds.view(bs_embed * num_images_per_prompt, seq_len, -1)
-
-        # get unconditional embeddings for classifier free guidance
-        if do_classifier_free_guidance and negative_prompt_embeds is None:
-            uncond_tokens: List[str]
-            if negative_prompt is None:
-                uncond_tokens = [""] * batch_size
-            elif prompt is not None and type(prompt) is not type(negative_prompt):
-                raise TypeError(
-                    f"`negative_prompt` should be the same type to `prompt`, but got {type(negative_prompt)} !="
-                    f" {type(prompt)}."
-                )
-            elif isinstance(negative_prompt, str):
-                uncond_tokens = [negative_prompt]
-            elif batch_size != len(negative_prompt):
-                raise ValueError(
-                    f"`negative_prompt`: {negative_prompt} has batch size {len(negative_prompt)}, but `prompt`:"
-                    f" {prompt} has batch size {batch_size}. Please make sure that passed `negative_prompt` matches"
-                    " the batch size of `prompt`."
-                )
-            else:
-                uncond_tokens = negative_prompt
-
-            # textual inversion: procecss multi-vector tokens if necessary
-            if isinstance(self, TextualInversionLoaderMixin):
-                uncond_tokens = self.maybe_convert_prompt(uncond_tokens, self.tokenizer)
-
-            max_length = prompt_embeds.shape[1]
-            uncond_input = self.tokenizer(
-                uncond_tokens,
-                padding="max_length",
-                max_length=max_length,
-                truncation=True,
-                return_tensors="pt",
-            )
-
-            if hasattr(self.text_encoder.config, "use_attention_mask") and self.text_encoder.config.use_attention_mask:
-                attention_mask = uncond_input.attention_mask.to(device)
-            else:
-                attention_mask = None
-
-            negative_prompt_embeds = self.text_encoder(
-                uncond_input.input_ids.to(device),
-                attention_mask=attention_mask,
-            )
-            negative_prompt_embeds = negative_prompt_embeds[0]
-
-        if do_classifier_free_guidance:
-            # duplicate unconditional embeddings for each generation per prompt, using mps friendly method
-            seq_len = negative_prompt_embeds.shape[1]
-
-            negative_prompt_embeds = negative_prompt_embeds.to(dtype=self.text_encoder.dtype, device=device)
-
-            negative_prompt_embeds = negative_prompt_embeds.repeat(1, num_images_per_prompt, 1)
-            negative_prompt_embeds = negative_prompt_embeds.view(batch_size * num_images_per_prompt, seq_len, -1)
-
-            # For classifier free guidance, we need to do two forward passes.
-            # Here we concatenate the unconditional and text embeddings into a single batch
-            # to avoid doing two forward passes
-            prompt_embeds = torch.cat([negative_prompt_embeds, prompt_embeds])
-
-        return prompt_embeds
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.run_safety_checker
-    def run_safety_checker(self, image, device, dtype):
-        if self.safety_checker is None:
-            has_nsfw_concept = None
-        else:
-            if torch.is_tensor(image):
-                feature_extractor_input = self.image_processor.postprocess(image, output_type="pil")
-            else:
-                feature_extractor_input = self.image_processor.numpy_to_pil(image)
-            safety_checker_input = self.feature_extractor(feature_extractor_input, return_tensors="pt").to(device)
-            image, has_nsfw_concept = self.safety_checker(
-                images=image, clip_input=safety_checker_input.pixel_values.to(dtype)
-            )
-        return image, has_nsfw_concept
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.decode_latents
-    def decode_latents(self, latents):
-        warnings.warn(
-            "The decode_latents method is deprecated and will be removed in a future version. Please"
-            " use VaeImageProcessor instead",
-            FutureWarning,
-        )
-        latents = 1 / self.vae.config.scaling_factor * latents
-        image = self.vae.decode(latents, return_dict=False)[0]
-        image = (image / 2 + 0.5).clamp(0, 1)
-        # we always cast to float32 as this does not cause significant overhead and is compatible with bfloat16
-        image = image.cpu().permute(0, 2, 3, 1).float().numpy()
-        return image
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion.StableDiffusionPipeline.prepare_extra_step_kwargs
-    def prepare_extra_step_kwargs(self, generator, eta):
-        # prepare extra kwargs for the scheduler step, since not all schedulers have the same signature
-        # eta (η) is only used with the DDIMScheduler, it will be ignored for other schedulers.
-        # eta corresponds to η in DDIM paper: https://arxiv.org/abs/2010.02502
-        # and should be between [0, 1]
-
-        accepts_eta = "eta" in set(inspect.signature(self.scheduler.step).parameters.keys())
-        extra_step_kwargs = {}
-        if accepts_eta:
-            extra_step_kwargs["eta"] = eta
-
-        # check if the scheduler accepts generator
-        accepts_generator = "generator" in set(inspect.signature(self.scheduler.step).parameters.keys())
-        if accepts_generator:
-            extra_step_kwargs["generator"] = generator
-        return extra_step_kwargs
-
-    def check_inputs(
-        self,
-        prompt,
-        image,
-        callback_steps,
-        negative_prompt=None,
-        prompt_embeds=None,
-        negative_prompt_embeds=None,
-        controlnet_conditioning_scale=1.0,
-        control_guidance_start=0.0,
-        control_guidance_end=1.0,
-    ):
-        if (callback_steps is None) or (
-            callback_steps is not None and (not isinstance(callback_steps, int) or callback_steps <= 0)
-        ):
-            raise ValueError(
-                f"`callback_steps` has to be a positive integer but is {callback_steps} of type"
-                f" {type(callback_steps)}."
-            )
-
-        if prompt is not None and prompt_embeds is not None:
-            raise ValueError(
-                f"Cannot forward both `prompt`: {prompt} and `prompt_embeds`: {prompt_embeds}. Please make sure to"
-                " only forward one of the two."
-            )
-        elif prompt is None and prompt_embeds is None:
-            raise ValueError(
-                "Provide either `prompt` or `prompt_embeds`. Cannot leave both `prompt` and `prompt_embeds` undefined."
-            )
-        elif prompt is not None and (not isinstance(prompt, str) and not isinstance(prompt, list)):
-            raise ValueError(f"`prompt` has to be of type `str` or `list` but is {type(prompt)}")
-
-        if negative_prompt is not None and negative_prompt_embeds is not None:
-            raise ValueError(
-                f"Cannot forward both `negative_prompt`: {negative_prompt} and `negative_prompt_embeds`:"
-                f" {negative_prompt_embeds}. Please make sure to only forward one of the two."
-            )
-
-        if prompt_embeds is not None and negative_prompt_embeds is not None:
-            if prompt_embeds.shape != negative_prompt_embeds.shape:
-                raise ValueError(
-                    "`prompt_embeds` and `negative_prompt_embeds` must have the same shape when passed directly, but"
-                    f" got: `prompt_embeds` {prompt_embeds.shape} != `negative_prompt_embeds`"
-                    f" {negative_prompt_embeds.shape}."
-                )
-
-        # `prompt` needs more sophisticated handling when there are multiple
-        # conditionings.
-        if isinstance(self.controlnet, MultiControlNetModel):
-            if isinstance(prompt, list):
-                logger.warning(
-                    f"You have {len(self.controlnet.nets)} ControlNets and you have passed {len(prompt)}"
-                    " prompts. The conditionings will be fixed across the prompts."
-                )
-
-        # Check `image`
-        is_compiled = hasattr(F, "scaled_dot_product_attention") and isinstance(
-            self.controlnet, torch._dynamo.eval_frame.OptimizedModule
-        )
-        if (
-            isinstance(self.controlnet, ControlNetModel)
-            or is_compiled
-            and isinstance(self.controlnet._orig_mod, ControlNetModel)
-        ):
-            self.check_image(image, prompt, prompt_embeds)
-        elif (
-            isinstance(self.controlnet, MultiControlNetModel)
-            or is_compiled
-            and isinstance(self.controlnet._orig_mod, MultiControlNetModel)
-        ):
-            if not isinstance(image, list):
-                raise TypeError("For multiple controlnets: `image` must be type `list`")
-
-            # When `image` is a nested list:
-            # (e.g. [[canny_image_1, pose_image_1], [canny_image_2, pose_image_2]])
-            elif any(isinstance(i, list) for i in image):
-                raise ValueError("A single batch of multiple conditionings are supported at the moment.")
-            elif len(image) != len(self.controlnet.nets):
-                raise ValueError(
-                    f"For multiple controlnets: `image` must have the same length as the number of controlnets, but got {len(image)} images and {len(self.controlnet.nets)} ControlNets."
-                )
-
-            for image_ in image:
-                self.check_image(image_, prompt, prompt_embeds)
-        else:
-            assert False
-
-        # Check `controlnet_conditioning_scale`
-        if (
-            isinstance(self.controlnet, ControlNetModel)
-            or is_compiled
-            and isinstance(self.controlnet._orig_mod, ControlNetModel)
-        ):
-            if not isinstance(controlnet_conditioning_scale, float):
-                raise TypeError("For single controlnet: `controlnet_conditioning_scale` must be type `float`.")
-        elif (
-            isinstance(self.controlnet, MultiControlNetModel)
-            or is_compiled
-            and isinstance(self.controlnet._orig_mod, MultiControlNetModel)
-        ):
-            if isinstance(controlnet_conditioning_scale, list):
-                if any(isinstance(i, list) for i in controlnet_conditioning_scale):
-                    raise ValueError("A single batch of multiple conditionings are supported at the moment.")
-            elif isinstance(controlnet_conditioning_scale, list) and len(controlnet_conditioning_scale) != len(
-                self.controlnet.nets
-            ):
-                raise ValueError(
-                    "For multiple controlnets: When `controlnet_conditioning_scale` is specified as `list`, it must have"
-                    " the same length as the number of controlnets"
-                )
-        else:
-            assert False
-
-        if len(control_guidance_start) != len(control_guidance_end):
-            raise ValueError(
-                f"`control_guidance_start` has {len(control_guidance_start)} elements, but `control_guidance_end` has {len(control_guidance_end)} elements. Make sure to provide the same number of elements to each list."
-            )
-
-        if isinstance(self.controlnet, MultiControlNetModel):
-            if len(control_guidance_start) != len(self.controlnet.nets):
-                raise ValueError(
-                    f"`control_guidance_start`: {control_guidance_start} has {len(control_guidance_start)} elements but there are {len(self.controlnet.nets)} controlnets available. Make sure to provide {len(self.controlnet.nets)}."
-                )
-
-        for start, end in zip(control_guidance_start, control_guidance_end):
-            if start >= end:
-                raise ValueError(
-                    f"control guidance start: {start} cannot be larger or equal to control guidance end: {end}."
-                )
-            if start < 0.0:
-                raise ValueError(f"control guidance start: {start} can't be smaller than 0.")
-            if end > 1.0:
-                raise ValueError(f"control guidance end: {end} can't be larger than 1.0.")
-
-    # Copied from diffusers.pipelines.controlnet.pipeline_controlnet.StableDiffusionControlNetPipeline.check_image
-    def check_image(self, image, prompt, prompt_embeds):
-        image_is_pil = isinstance(image, PIL.Image.Image)
-        image_is_tensor = isinstance(image, torch.Tensor)
-        image_is_np = isinstance(image, np.ndarray)
-        image_is_pil_list = isinstance(image, list) and isinstance(image[0], PIL.Image.Image)
-        image_is_tensor_list = isinstance(image, list) and isinstance(image[0], torch.Tensor)
-        image_is_np_list = isinstance(image, list) and isinstance(image[0], np.ndarray)
-
-        if (
-            not image_is_pil
-            and not image_is_tensor
-            and not image_is_np
-            and not image_is_pil_list
-            and not image_is_tensor_list
-            and not image_is_np_list
-        ):
-            raise TypeError(
-                f"image must be passed and be one of PIL image, numpy array, torch tensor, list of PIL images, list of numpy arrays or list of torch tensors, but is {type(image)}"
-            )
-
-        if image_is_pil:
-            image_batch_size = 1
-        else:
-            image_batch_size = len(image)
-
-        if prompt is not None and isinstance(prompt, str):
-            prompt_batch_size = 1
-        elif prompt is not None and isinstance(prompt, list):
-            prompt_batch_size = len(prompt)
-        elif prompt_embeds is not None:
-            prompt_batch_size = prompt_embeds.shape[0]
-
-        if image_batch_size != 1 and image_batch_size != prompt_batch_size:
-            raise ValueError(
-                f"If image batch size is not 1, image batch size must be same as prompt batch size. image batch size: {image_batch_size}, prompt batch size: {prompt_batch_size}"
-            )
-
-    # Copied from diffusers.pipelines.controlnet.pipeline_controlnet.StableDiffusionControlNetPipeline.prepare_image
-    def prepare_control_image(
-        self,
-        image,
-        width,
-        height,
-        batch_size,
-        num_images_per_prompt,
-        device,
-        dtype,
-        do_classifier_free_guidance=False,
-        guess_mode=False,
-    ):
-        image = self.control_image_processor.preprocess(image, height=height, width=width).to(dtype=torch.float32)
-        image_batch_size = image.shape[0]
-
-        if image_batch_size == 1:
-            repeat_by = batch_size
-        else:
-            # image batch size is the same as prompt batch size
-            repeat_by = num_images_per_prompt
-
-        image = image.repeat_interleave(repeat_by, dim=0)
-
-        image = image.to(device=device, dtype=dtype)
-
-        if do_classifier_free_guidance and not guess_mode:
-            image = torch.cat([image] * 2)
-
-        return image
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.StableDiffusionImg2ImgPipeline.get_timesteps
-    def get_timesteps(self, num_inference_steps, strength, device):
-        # get the original timestep using init_timestep
-        init_timestep = min(int(num_inference_steps * strength), num_inference_steps)
-
-        t_start = max(num_inference_steps - init_timestep, 0)
-        timesteps = self.scheduler.timesteps[t_start * self.scheduler.order :]
-
-        return timesteps, num_inference_steps - t_start
-
-    # Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.StableDiffusionImg2ImgPipeline.prepare_latents
-    def prepare_latents(self, image, timestep, batch_size, num_images_per_prompt, dtype, device, generator=None):
-        if not isinstance(image, (torch.Tensor, PIL.Image.Image, list)):
-            raise ValueError(
-                f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
-            )
-
-        image = image.to(device=device, dtype=dtype)
-
-        batch_size = batch_size * num_images_per_prompt
-
-        if image.shape[1] == 4:
-            init_latents = image
-
-        else:
-            if isinstance(generator, list) and len(generator) != batch_size:
-                raise ValueError(
-                    f"You have passed a list of generators of length {len(generator)}, but requested an effective batch"
-                    f" size of {batch_size}. Make sure the batch size matches the length of the generators."
-                )
-
-            elif isinstance(generator, list):
-                init_latents = [
-                    self.vae.encode(image[i : i + 1]).latent_dist.sample(generator[i]) for i in range(batch_size)
-                ]
-                init_latents = torch.cat(init_latents, dim=0)
-            else:
-                init_latents = self.vae.encode(image).latent_dist.sample(generator)
-
-            init_latents = self.vae.config.scaling_factor * init_latents
-
-        if batch_size > init_latents.shape[0] and batch_size % init_latents.shape[0] == 0:
-            # expand init_latents for batch_size
-            deprecation_message = (
-                f"You have passed {batch_size} text prompts (`prompt`), but only {init_latents.shape[0]} initial"
-                " images (`image`). Initial images are now duplicating to match the number of text prompts. Note"
-                " that this behavior is deprecated and will be removed in a version 1.0.0. Please make sure to update"
-                " your script to pass as many initial images as text prompts to suppress this warning."
-            )
-            deprecate("len(prompt) != len(image)", "1.0.0", deprecation_message, standard_warn=False)
-            additional_image_per_prompt = batch_size // init_latents.shape[0]
-            init_latents = torch.cat([init_latents] * additional_image_per_prompt, dim=0)
-        elif batch_size > init_latents.shape[0] and batch_size % init_latents.shape[0] != 0:
-            raise ValueError(
-                f"Cannot duplicate `image` of batch size {init_latents.shape[0]} to {batch_size} text prompts."
-            )
-        else:
-            init_latents = torch.cat([init_latents], dim=0)
-
-        shape = init_latents.shape
-        noise = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
-
-        # get latents
-        init_latents = self.scheduler.add_noise(init_latents, noise, timestep)
-        latents = init_latents
-
-        return latents
-
-    @torch.no_grad()
-    @replace_example_docstring(EXAMPLE_DOC_STRING)
-    def __call__(
-        self,
-        prompt: Union[str, List[str]] = None,
-        image: Union[
-            torch.FloatTensor,
-            PIL.Image.Image,
-            np.ndarray,
-            List[torch.FloatTensor],
-            List[PIL.Image.Image],
-            List[np.ndarray],
-        ] = None,
-        control_image: Union[
-            torch.FloatTensor,
-            PIL.Image.Image,
-            np.ndarray,
-            List[torch.FloatTensor],
-            List[PIL.Image.Image],
-            List[np.ndarray],
-        ] = None,
-        height: Optional[int] = None,
-        width: Optional[int] = None,
-        strength: float = 0.8,
-        num_inference_steps: int = 50,
-        guidance_scale: float = 7.5,
-        negative_prompt: Optional[Union[str, List[str]]] = None,
-        num_images_per_prompt: Optional[int] = 1,
-        eta: float = 0.0,
-        generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
-        latents: Optional[torch.FloatTensor] = None,
-        prompt_embeds: Optional[torch.FloatTensor] = None,
-        negative_prompt_embeds: Optional[torch.FloatTensor] = None,
-        output_type: Optional[str] = "pil",
-        return_dict: bool = True,
-        callback: Optional[Callable[[int, int, torch.FloatTensor], None]] = None,
-        callback_steps: int = 1,
-        cross_attention_kwargs: Optional[Dict[str, Any]] = None,
-        controlnet_conditioning_scale: Union[float, List[float]] = 0.8,
-        guess_mode: bool = False,
-        control_guidance_start: Union[float, List[float]] = 0.0,
-        control_guidance_end: Union[float, List[float]] = 1.0,
-    ):
-        r"""
-        Function invoked when calling the pipeline for generation.
-
-        Args:
-            prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`.
-                instead.
-            image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, `List[np.ndarray]`,:
-                    `List[List[torch.FloatTensor]]`, `List[List[np.ndarray]]` or `List[List[PIL.Image.Image]]`):
-                The initial image will be used as the starting point for the image generation process. Can also accpet
-                image latents as `image`, if passing latents directly, it will not be encoded again.
-            control_image (`torch.FloatTensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.FloatTensor]`, `List[PIL.Image.Image]`, `List[np.ndarray]`,:
-                    `List[List[torch.FloatTensor]]`, `List[List[np.ndarray]]` or `List[List[PIL.Image.Image]]`):
-                The ControlNet input condition. ControlNet uses this input condition to generate guidance to Unet. If
-                the type is specified as `Torch.FloatTensor`, it is passed to ControlNet as is. `PIL.Image.Image` can
-                also be accepted as an image. The dimensions of the output image defaults to `image`'s dimensions. If
-                height and/or width are passed, `image` is resized according to them. If multiple ControlNets are
-                specified in init, images must be passed as a list such that each element of the list can be correctly
-                batched for input to a single controlnet.
-            height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
-                The height in pixels of the generated image.
-            width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
-                The width in pixels of the generated image.
-            num_inference_steps (`int`, *optional*, defaults to 50):
-                The number of denoising steps. More denoising steps usually lead to a higher quality image at the
-                expense of slower inference.
-            guidance_scale (`float`, *optional*, defaults to 7.5):
-                Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
-                `guidance_scale` is defined as `w` of equation 2. of [Imagen
-                Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale >
-                1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt`,
-                usually at the expense of lower image quality.
-            negative_prompt (`str` or `List[str]`, *optional*):
-                The prompt or prompts not to guide the image generation. If not defined, one has to pass
-                `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is
-                less than `1`).
-            num_images_per_prompt (`int`, *optional*, defaults to 1):
-                The number of images to generate per prompt.
-            eta (`float`, *optional*, defaults to 0.0):
-                Corresponds to parameter eta (η) in the DDIM paper: https://arxiv.org/abs/2010.02502. Only applies to
-                [`schedulers.DDIMScheduler`], will be ignored for others.
-            generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
-                One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html)
-                to make generation deterministic.
-            latents (`torch.FloatTensor`, *optional*):
-                Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image
-                generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
-                tensor will ge generated by sampling using the supplied random `generator`.
-            prompt_embeds (`torch.FloatTensor`, *optional*):
-                Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
-                provided, text embeddings will be generated from `prompt` input argument.
-            negative_prompt_embeds (`torch.FloatTensor`, *optional*):
-                Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
-                weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
-                argument.
-            output_type (`str`, *optional*, defaults to `"pil"`):
-                The output format of the generate image. Choose between
-                [PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] instead of a
-                plain tuple.
-            callback (`Callable`, *optional*):
-                A function that will be called every `callback_steps` steps during inference. The function will be
-                called with the following arguments: `callback(step: int, timestep: int, latents: torch.FloatTensor)`.
-            callback_steps (`int`, *optional*, defaults to 1):
-                The frequency at which the `callback` function will be called. If not specified, the callback will be
-                called at every step.
-            cross_attention_kwargs (`dict`, *optional*):
-                A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
-                `self.processor` in
-                [diffusers.cross_attention](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/cross_attention.py).
-            controlnet_conditioning_scale (`float` or `List[float]`, *optional*, defaults to 1.0):
-                The outputs of the controlnet are multiplied by `controlnet_conditioning_scale` before they are added
-                to the residual in the original unet. If multiple ControlNets are specified in init, you can set the
-                corresponding scale as a list. Note that by default, we use a smaller conditioning scale for inpainting
-                than for [`~StableDiffusionControlNetPipeline.__call__`].
-            guess_mode (`bool`, *optional*, defaults to `False`):
-                In this mode, the ControlNet encoder will try best to recognize the content of the input image even if
-                you remove all prompts. The `guidance_scale` between 3.0 and 5.0 is recommended.
-            control_guidance_start (`float` or `List[float]`, *optional*, defaults to 0.0):
-                The percentage of total steps at which the controlnet starts applying.
-            control_guidance_end (`float` or `List[float]`, *optional*, defaults to 1.0):
-                The percentage of total steps at which the controlnet stops applying.
-
-        Examples:
-
-        Returns:
-            [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] or `tuple`:
-            [`~pipelines.stable_diffusion.StableDiffusionPipelineOutput`] if `return_dict` is True, otherwise a `tuple.
-            When returning a tuple, the first element is a list with the generated images, and the second element is a
-            list of `bool`s denoting whether the corresponding generated image likely represents "not-safe-for-work"
-            (nsfw) content, according to the `safety_checker`.
-        """
-        controlnet = self.controlnet._orig_mod if is_compiled_module(self.controlnet) else self.controlnet
-
-        # align format for control guidance
-        if not isinstance(control_guidance_start, list) and isinstance(control_guidance_end, list):
-            control_guidance_start = len(control_guidance_end) * [control_guidance_start]
-        elif not isinstance(control_guidance_end, list) and isinstance(control_guidance_start, list):
-            control_guidance_end = len(control_guidance_start) * [control_guidance_end]
-        elif not isinstance(control_guidance_start, list) and not isinstance(control_guidance_end, list):
-            mult = len(controlnet.nets) if isinstance(controlnet, MultiControlNetModel) else 1
-            control_guidance_start, control_guidance_end = mult * [control_guidance_start], mult * [
-                control_guidance_end
-            ]
-
-        # 1. Check inputs. Raise error if not correct
-        self.check_inputs(
-            prompt,
-            control_image,
-            callback_steps,
-            negative_prompt,
-            prompt_embeds,
-            negative_prompt_embeds,
-            controlnet_conditioning_scale,
-            control_guidance_start,
-            control_guidance_end,
-        )
-
-        # 2. Define call parameters
-        if prompt is not None and isinstance(prompt, str):
-            batch_size = 1
-        elif prompt is not None and isinstance(prompt, list):
-            batch_size = len(prompt)
-        else:
-            batch_size = prompt_embeds.shape[0]
-
-        device = self._execution_device
-        # here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)
-        # of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`
-        # corresponds to doing no classifier free guidance.
-        do_classifier_free_guidance = guidance_scale > 1.0
-
-        controlnet = self.controlnet._orig_mod if is_compiled_module(self.controlnet) else self.controlnet
-
-        if isinstance(controlnet, MultiControlNetModel) and isinstance(controlnet_conditioning_scale, float):
-            controlnet_conditioning_scale = [controlnet_conditioning_scale] * len(controlnet.nets)
-
-        global_pool_conditions = (
-            controlnet.config.global_pool_conditions
-            if isinstance(controlnet, ControlNetModel)
-            else controlnet.nets[0].config.global_pool_conditions
-        )
-        guess_mode = guess_mode or global_pool_conditions
-
-        # 3. Encode input prompt
-        text_encoder_lora_scale = (
-            cross_attention_kwargs.get("scale", None) if cross_attention_kwargs is not None else None
-        )
-        prompt_embeds = self._encode_prompt(
-            prompt,
-            device,
-            num_images_per_prompt,
-            do_classifier_free_guidance,
-            negative_prompt,
-            prompt_embeds=prompt_embeds,
-            negative_prompt_embeds=negative_prompt_embeds,
-            lora_scale=text_encoder_lora_scale,
-        )
-        # 4. Prepare image
-        image = self.image_processor.preprocess(image).to(dtype=torch.float32)
-
-        # 5. Prepare controlnet_conditioning_image
-        if isinstance(controlnet, ControlNetModel):
-            control_image = self.prepare_control_image(
-                image=control_image,
-                width=width,
-                height=height,
-                batch_size=batch_size * num_images_per_prompt,
-                num_images_per_prompt=num_images_per_prompt,
-                device=device,
-                dtype=controlnet.dtype,
-                do_classifier_free_guidance=do_classifier_free_guidance,
-                guess_mode=guess_mode,
-            )
-        elif isinstance(controlnet, MultiControlNetModel):
-            control_images = []
-
-            for control_image_ in control_image:
-                control_image_ = self.prepare_control_image(
-                    image=control_image_,
-                    width=width,
-                    height=height,
-                    batch_size=batch_size * num_images_per_prompt,
-                    num_images_per_prompt=num_images_per_prompt,
-                    device=device,
-                    dtype=controlnet.dtype,
-                    do_classifier_free_guidance=do_classifier_free_guidance,
-                    guess_mode=guess_mode,
-                )
-
-                control_images.append(control_image_)
-
-            control_image = control_images
-        else:
-            assert False
-
-        # 5. Prepare timesteps
-        self.scheduler.set_timesteps(num_inference_steps, device=device)
-        timesteps, num_inference_steps = self.get_timesteps(num_inference_steps, strength, device)
-        latent_timestep = timesteps[:1].repeat(batch_size * num_images_per_prompt)
-
-        # 6. Prepare latent variables
-        latents = self.prepare_latents(
-            image,
-            latent_timestep,
-            batch_size,
-            num_images_per_prompt,
-            prompt_embeds.dtype,
-            device,
-            generator,
-        )
-
-        # 7. Prepare extra step kwargs. TODO: Logic should ideally just be moved out of the pipeline
-        extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
-
-        # 7.1 Create tensor stating which controlnets to keep
-        controlnet_keep = []
-        for i in range(len(timesteps)):
-            keeps = [
-                1.0 - float(i / len(timesteps) < s or (i + 1) / len(timesteps) > e)
-                for s, e in zip(control_guidance_start, control_guidance_end)
-            ]
-            controlnet_keep.append(keeps[0] if isinstance(controlnet, ControlNetModel) else keeps)
-
-        # 8. Denoising loop
-        num_warmup_steps = len(timesteps) - num_inference_steps * self.scheduler.order
-        with self.progress_bar(total=num_inference_steps) as progress_bar:
-            for i, t in enumerate(timesteps):
-                # expand the latents if we are doing classifier free guidance
-                latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents
-                latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
-
-                # controlnet(s) inference
-                if guess_mode and do_classifier_free_guidance:
-                    # Infer ControlNet only for the conditional batch.
-                    control_model_input = latents
-                    control_model_input = self.scheduler.scale_model_input(control_model_input, t)
-                    controlnet_prompt_embeds = prompt_embeds.chunk(2)[1]
-                else:
-                    control_model_input = latent_model_input
-                    controlnet_prompt_embeds = prompt_embeds
-
-                if isinstance(controlnet_keep[i], list):
-                    cond_scale = [c * s for c, s in zip(controlnet_conditioning_scale, controlnet_keep[i])]
-                else:
-                    cond_scale = controlnet_conditioning_scale * controlnet_keep[i]
-
-                down_block_res_samples, mid_block_res_sample = self.controlnet(
-                    control_model_input,
-                    t,
-                    encoder_hidden_states=controlnet_prompt_embeds,
-                    controlnet_cond=control_image,
-                    conditioning_scale=cond_scale,
-                    guess_mode=guess_mode,
-                    return_dict=False,
-                )
-
-                if guess_mode and do_classifier_free_guidance:
-                    # Infered ControlNet only for the conditional batch.
-                    # To apply the output of ControlNet to both the unconditional and conditional batches,
-                    # add 0 to the unconditional batch to keep it unchanged.
-                    down_block_res_samples = [torch.cat([torch.zeros_like(d), d]) for d in down_block_res_samples]
-                    mid_block_res_sample = torch.cat([torch.zeros_like(mid_block_res_sample), mid_block_res_sample])
-
-                # predict the noise residual
-                noise_pred = self.unet(
-                    latent_model_input,
-                    t,
-                    encoder_hidden_states=prompt_embeds,
-                    cross_attention_kwargs=cross_attention_kwargs,
-                    down_block_additional_residuals=down_block_res_samples,
-                    mid_block_additional_residual=mid_block_res_sample,
-                    return_dict=False,
-                )[0]
-
-                # perform guidance
-                if do_classifier_free_guidance:
-                    noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
-                    noise_pred = noise_pred_uncond + guidance_scale * (noise_pred_text - noise_pred_uncond)
-
-                # compute the previous noisy sample x_t -> x_t-1
-                latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
-
-                # call the callback, if provided
-                if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
-                    progress_bar.update()
-                    if callback is not None and i % callback_steps == 0:
-                        callback(i, t, latents)
-
-        # If we do sequential model offloading, let's offload unet and controlnet
-        # manually for max memory savings
-        if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
-            self.unet.to("cpu")
-            self.controlnet.to("cpu")
-            torch.cuda.empty_cache()
-
-        if not output_type == "latent":
-            image = self.vae.decode(latents / self.vae.config.scaling_factor, return_dict=False)[0]
-            image, has_nsfw_concept = self.run_safety_checker(image, device, prompt_embeds.dtype)
-        else:
-            image = latents
-            has_nsfw_concept = None
-
-        if has_nsfw_concept is None:
-            do_denormalize = [True] * image.shape[0]
-        else:
-            do_denormalize = [not has_nsfw for has_nsfw in has_nsfw_concept]
-
-        image = self.image_processor.postprocess(image, output_type=output_type, do_denormalize=do_denormalize)
-
-        # Offload last model to CPU
-        if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
-            self.final_offload_hook.offload()
-
-        if not return_dict:
-            return (image, has_nsfw_concept)
-
-        return StableDiffusionPipelineOutput(images=image, nsfw_content_detected=has_nsfw_concept)
diff --git a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/stable_diffusion/stable_unclip_image_normalizer.py b/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/stable_diffusion/stable_unclip_image_normalizer.py
deleted file mode 100644
index 7362df7e80e72719133f1804600a618fe161f668..0000000000000000000000000000000000000000
--- a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/src/diffusers/pipelines/stable_diffusion/stable_unclip_image_normalizer.py
+++ /dev/null
@@ -1,57 +0,0 @@
-# Copyright 2023 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from typing import Optional, Union
-
-import torch
-from torch import nn
-
-from ...configuration_utils import ConfigMixin, register_to_config
-from ...models.modeling_utils import ModelMixin
-
-
-class StableUnCLIPImageNormalizer(ModelMixin, ConfigMixin):
-    """
-    This class is used to hold the mean and standard deviation of the CLIP embedder used in stable unCLIP.
-
-    It is used to normalize the image embeddings before the noise is applied and un-normalize the noised image
-    embeddings.
-    """
-
-    @register_to_config
-    def __init__(
-        self,
-        embedding_dim: int = 768,
-    ):
-        super().__init__()
-
-        self.mean = nn.Parameter(torch.zeros(1, embedding_dim))
-        self.std = nn.Parameter(torch.ones(1, embedding_dim))
-
-    def to(
-        self,
-        torch_device: Optional[Union[str, torch.device]] = None,
-        torch_dtype: Optional[torch.dtype] = None,
-    ):
-        self.mean = nn.Parameter(self.mean.to(torch_device).to(torch_dtype))
-        self.std = nn.Parameter(self.std.to(torch_device).to(torch_dtype))
-        return self
-
-    def scale(self, embeds):
-        embeds = (embeds - self.mean) * 1.0 / self.std
-        return embeds
-
-    def unscale(self, embeds):
-        embeds = (embeds * self.std) + self.mean
-        return embeds
diff --git a/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/tests/pipelines/ddpm/__init__.py b/spaces/Androidonnxfork/CivitAi-to-Diffusers/diffusers/tests/pipelines/ddpm/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/spaces/Anonymous-sub/Rerender/ControlNet/annotator/uniformer/mmcv/ops/voxelize.py b/spaces/Anonymous-sub/Rerender/ControlNet/annotator/uniformer/mmcv/ops/voxelize.py
deleted file mode 100644
index ca3226a4fbcbfe58490fa2ea8e1c16b531214121..0000000000000000000000000000000000000000
--- a/spaces/Anonymous-sub/Rerender/ControlNet/annotator/uniformer/mmcv/ops/voxelize.py
+++ /dev/null
@@ -1,132 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-import torch
-from torch import nn
-from torch.autograd import Function
-from torch.nn.modules.utils import _pair
-
-from ..utils import ext_loader
-
-ext_module = ext_loader.load_ext(
-    '_ext', ['dynamic_voxelize_forward', 'hard_voxelize_forward'])
-
-
-class _Voxelization(Function):
-
-    @staticmethod
-    def forward(ctx,
-                points,
-                voxel_size,
-                coors_range,
-                max_points=35,
-                max_voxels=20000):
-        """Convert kitti points(N, >=3) to voxels.
-
-        Args:
-            points (torch.Tensor): [N, ndim]. Points[:, :3] contain xyz points
-                and points[:, 3:] contain other information like reflectivity.
-            voxel_size (tuple or float): The size of voxel with the shape of
-                [3].
-            coors_range (tuple or float): The coordinate range of voxel with
-                the shape of [6].
-            max_points (int, optional): maximum points contained in a voxel. if
-                max_points=-1, it means using dynamic_voxelize. Default: 35.
-            max_voxels (int, optional): maximum voxels this function create.
-                for second, 20000 is a good choice. Users should shuffle points
-                before call this function because max_voxels may drop points.
-                Default: 20000.
-
-        Returns:
-            voxels_out (torch.Tensor): Output voxels with the shape of [M,
-                max_points, ndim]. Only contain points and returned when
-                max_points != -1.
-            coors_out (torch.Tensor): Output coordinates with the shape of
-                [M, 3].
-            num_points_per_voxel_out (torch.Tensor): Num points per voxel with
-                the shape of [M]. Only returned when max_points != -1.
-        """
-        if max_points == -1 or max_voxels == -1:
-            coors = points.new_zeros(size=(points.size(0), 3), dtype=torch.int)
-            ext_module.dynamic_voxelize_forward(points, coors, voxel_size,
-                                                coors_range, 3)
-            return coors
-        else:
-            voxels = points.new_zeros(
-                size=(max_voxels, max_points, points.size(1)))
-            coors = points.new_zeros(size=(max_voxels, 3), dtype=torch.int)
-            num_points_per_voxel = points.new_zeros(
-                size=(max_voxels, ), dtype=torch.int)
-            voxel_num = ext_module.hard_voxelize_forward(
-                points, voxels, coors, num_points_per_voxel, voxel_size,
-                coors_range, max_points, max_voxels, 3)
-            # select the valid voxels
-            voxels_out = voxels[:voxel_num]
-            coors_out = coors[:voxel_num]
-            num_points_per_voxel_out = num_points_per_voxel[:voxel_num]
-            return voxels_out, coors_out, num_points_per_voxel_out
-
-
-voxelization = _Voxelization.apply
-
-
-class Voxelization(nn.Module):
-    """Convert kitti points(N, >=3) to voxels.
-
-    Please refer to `PVCNN <https://arxiv.org/abs/1907.03739>`_ for more
-    details.
-
-    Args:
-        voxel_size (tuple or float): The size of voxel with the shape of [3].
-        point_cloud_range (tuple or float): The coordinate range of voxel with
-            the shape of [6].
-        max_num_points (int): maximum points contained in a voxel. if
-            max_points=-1, it means using dynamic_voxelize.
-        max_voxels (int, optional): maximum voxels this function create.
-            for second, 20000 is a good choice. Users should shuffle points
-            before call this function because max_voxels may drop points.
-            Default: 20000.
-    """
-
-    def __init__(self,
-                 voxel_size,
-                 point_cloud_range,
-                 max_num_points,
-                 max_voxels=20000):
-        super().__init__()
-
-        self.voxel_size = voxel_size
-        self.point_cloud_range = point_cloud_range
-        self.max_num_points = max_num_points
-        if isinstance(max_voxels, tuple):
-            self.max_voxels = max_voxels
-        else:
-            self.max_voxels = _pair(max_voxels)
-
-        point_cloud_range = torch.tensor(
-            point_cloud_range, dtype=torch.float32)
-        voxel_size = torch.tensor(voxel_size, dtype=torch.float32)
-        grid_size = (point_cloud_range[3:] -
-                     point_cloud_range[:3]) / voxel_size
-        grid_size = torch.round(grid_size).long()
-        input_feat_shape = grid_size[:2]
-        self.grid_size = grid_size
-        # the origin shape is as [x-len, y-len, z-len]
-        # [w, h, d] -> [d, h, w]
-        self.pcd_shape = [*input_feat_shape, 1][::-1]
-
-    def forward(self, input):
-        if self.training:
-            max_voxels = self.max_voxels[0]
-        else:
-            max_voxels = self.max_voxels[1]
-
-        return voxelization(input, self.voxel_size, self.point_cloud_range,
-                            self.max_num_points, max_voxels)
-
-    def __repr__(self):
-        s = self.__class__.__name__ + '('
-        s += 'voxel_size=' + str(self.voxel_size)
-        s += ', point_cloud_range=' + str(self.point_cloud_range)
-        s += ', max_num_points=' + str(self.max_num_points)
-        s += ', max_voxels=' + str(self.max_voxels)
-        s += ')'
-        return s
diff --git a/spaces/AnticPan/Clothes2Human/util.py b/spaces/AnticPan/Clothes2Human/util.py
deleted file mode 100644
index 07635692e9f7799543bf1aa7e5a3e9f1b324875c..0000000000000000000000000000000000000000
--- a/spaces/AnticPan/Clothes2Human/util.py
+++ /dev/null
@@ -1,25 +0,0 @@
-from PIL import Image
-import base64
-from io import BytesIO
-from pydantic import BaseModel, validator
-
-def img_to_base64(img):
-    buffer = BytesIO()
-    img.save(buffer, "jpeg")
-    content = base64.b64encode(buffer.getvalue())
-    return str(content, 'utf-8')
-
-def base64_to_img(content):
-    decoded_image = base64.b64decode(content)
-    image_buffer = BytesIO(decoded_image)
-    image = Image.open(image_buffer)
-    return image
-
-def resize_image(img, maxlen=2048):
-    if max(img.size)<maxlen:
-        return img
-    if img.width > img.height:
-        img = img.resize((maxlen, int(img.height*maxlen/img.width)//8*8))
-    else:
-        img = img.resize((int(img.width*maxlen/img.height)//8*8, maxlen))
-    return img
diff --git a/spaces/Arnaudding001/FrenchTranslationAI/app.py b/spaces/Arnaudding001/FrenchTranslationAI/app.py
deleted file mode 100644
index c7c8b8ce54c388adc144cf3e892d90b60d118ae0..0000000000000000000000000000000000000000
--- a/spaces/Arnaudding001/FrenchTranslationAI/app.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import os
-import gradio as gr 
-import language_tool_python
-
-tool = language_tool_python.LanguageToolPublicAPI('fr')
-
-
-# corrected_text = tool.correct(text)
-# print(corrected_text)
-
-def inference(input_text):
-    return tool.correct(input_text)
-
-title = "法语语法修改App"
-
-description = "将需要校对的文字贴在左侧方框中,点击Submit,稍等片刻,右侧Output将给出修改后的文本，字数限制300字。"
-
-
-demo = gr.Interface(
-    fn = inference,
-    inputs = 'text',
-    outputs = 'text',
-    title=title,
-    description=description
-    )
-    
-    
-demo.launch()
-  
\ No newline at end of file
diff --git a/spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/setuptools/_vendor/pyparsing/util.py b/spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/setuptools/_vendor/pyparsing/util.py
deleted file mode 100644
index 34ce092c6d08d9cdc2704840b7539de7b5ae1dcc..0000000000000000000000000000000000000000
--- a/spaces/Ataturk-Chatbot/HuggingFaceChat/venv/lib/python3.11/site-packages/setuptools/_vendor/pyparsing/util.py
+++ /dev/null
@@ -1,235 +0,0 @@
-# util.py
-import warnings
-import types
-import collections
-import itertools
-from functools import lru_cache
-from typing import List, Union, Iterable
-
-_bslash = chr(92)
-
-
-class __config_flags:
-    """Internal class for defining compatibility and debugging flags"""
-
-    _all_names: List[str] = []
-    _fixed_names: List[str] = []
-    _type_desc = "configuration"
-
-    @classmethod
-    def _set(cls, dname, value):
-        if dname in cls._fixed_names:
-            warnings.warn(
-                "{}.{} {} is {} and cannot be overridden".format(
-                    cls.__name__,
-                    dname,
-                    cls._type_desc,
-                    str(getattr(cls, dname)).upper(),
-                )
-            )
-            return
-        if dname in cls._all_names:
-            setattr(cls, dname, value)
-        else:
-            raise ValueError("no such {} {!r}".format(cls._type_desc, dname))
-
-    enable = classmethod(lambda cls, name: cls._set(name, True))
-    disable = classmethod(lambda cls, name: cls._set(name, False))
-
-
-@lru_cache(maxsize=128)
-def col(loc: int, strg: str) -> int:
-    """
-    Returns current column within a string, counting newlines as line separators.
-    The first column is number 1.
-
-    Note: the default parsing behavior is to expand tabs in the input string
-    before starting the parsing process.  See
-    :class:`ParserElement.parseString` for more
-    information on parsing strings containing ``<TAB>`` s, and suggested
-    methods to maintain a consistent view of the parsed string, the parse
-    location, and line and column positions within the parsed string.
-    """
-    s = strg
-    return 1 if 0 < loc < len(s) and s[loc - 1] == "\n" else loc - s.rfind("\n", 0, loc)
-
-
-@lru_cache(maxsize=128)
-def lineno(loc: int, strg: str) -> int:
-    """Returns current line number within a string, counting newlines as line separators.
-    The first line is number 1.
-
-    Note - the default parsing behavior is to expand tabs in the input string
-    before starting the parsing process.  See :class:`ParserElement.parseString`
-    for more information on parsing strings containing ``<TAB>`` s, and
-    suggested methods to maintain a consistent view of the parsed string, the
-    parse location, and line and column positions within the parsed string.
-    """
-    return strg.count("\n", 0, loc) + 1
-
-
-@lru_cache(maxsize=128)
-def line(loc: int, strg: str) -> str:
-    """
-    Returns the line of text containing loc within a string, counting newlines as line separators.
-    """
-    last_cr = strg.rfind("\n", 0, loc)
-    next_cr = strg.find("\n", loc)
-    return strg[last_cr + 1 : next_cr] if next_cr >= 0 else strg[last_cr + 1 :]
-
-
-class _UnboundedCache:
-    def __init__(self):
-        cache = {}
-        cache_get = cache.get
-        self.not_in_cache = not_in_cache = object()
-
-        def get(_, key):
-            return cache_get(key, not_in_cache)
-
-        def set_(_, key, value):
-            cache[key] = value
-
-        def clear(_):
-            cache.clear()
-
-        self.size = None
-        self.get = types.MethodType(get, self)
-        self.set = types.MethodType(set_, self)
-        self.clear = types.MethodType(clear, self)
-
-
-class _FifoCache:
-    def __init__(self, size):
-        self.not_in_cache = not_in_cache = object()
-        cache = collections.OrderedDict()
-        cache_get = cache.get
-
-        def get(_, key):
-            return cache_get(key, not_in_cache)
-
-        def set_(_, key, value):
-            cache[key] = value
-            while len(cache) > size:
-                cache.popitem(last=False)
-
-        def clear(_):
-            cache.clear()
-
-        self.size = size
-        self.get = types.MethodType(get, self)
-        self.set = types.MethodType(set_, self)
-        self.clear = types.MethodType(clear, self)
-
-
-class LRUMemo:
-    """
-    A memoizing mapping that retains `capacity` deleted items
-
-    The memo tracks retained items by their access order; once `capacity` items
-    are retained, the least recently used item is discarded.
-    """
-
-    def __init__(self, capacity):
-        self._capacity = capacity
-        self._active = {}
-        self._memory = collections.OrderedDict()
-
-    def __getitem__(self, key):
-        try:
-            return self._active[key]
-        except KeyError:
-            self._memory.move_to_end(key)
-            return self._memory[key]
-
-    def __setitem__(self, key, value):
-        self._memory.pop(key, None)
-        self._active[key] = value
-
-    def __delitem__(self, key):
-        try:
-            value = self._active.pop(key)
-        except KeyError:
-            pass
-        else:
-            while len(self._memory) >= self._capacity:
-                self._memory.popitem(last=False)
-            self._memory[key] = value
-
-    def clear(self):
-        self._active.clear()
-        self._memory.clear()
-
-
-class UnboundedMemo(dict):
-    """
-    A memoizing mapping that retains all deleted items
-    """
-
-    def __delitem__(self, key):
-        pass
-
-
-def _escape_regex_range_chars(s: str) -> str:
-    # escape these chars: ^-[]
-    for c in r"\^-[]":
-        s = s.replace(c, _bslash + c)
-    s = s.replace("\n", r"\n")
-    s = s.replace("\t", r"\t")
-    return str(s)
-
-
-def _collapse_string_to_ranges(
-    s: Union[str, Iterable[str]], re_escape: bool = True
-) -> str:
-    def is_consecutive(c):
-        c_int = ord(c)
-        is_consecutive.prev, prev = c_int, is_consecutive.prev
-        if c_int - prev > 1:
-            is_consecutive.value = next(is_consecutive.counter)
-        return is_consecutive.value
-
-    is_consecutive.prev = 0
-    is_consecutive.counter = itertools.count()
-    is_consecutive.value = -1
-
-    def escape_re_range_char(c):
-        return "\\" + c if c in r"\^-][" else c
-
-    def no_escape_re_range_char(c):
-        return c
-
-    if not re_escape:
-        escape_re_range_char = no_escape_re_range_char
-
-    ret = []
-    s = "".join(sorted(set(s)))
-    if len(s) > 3:
-        for _, chars in itertools.groupby(s, key=is_consecutive):
-            first = last = next(chars)
-            last = collections.deque(
-                itertools.chain(iter([last]), chars), maxlen=1
-            ).pop()
-            if first == last:
-                ret.append(escape_re_range_char(first))
-            else:
-                sep = "" if ord(last) == ord(first) + 1 else "-"
-                ret.append(
-                    "{}{}{}".format(
-                        escape_re_range_char(first), sep, escape_re_range_char(last)
-                    )
-                )
-    else:
-        ret = [escape_re_range_char(c) for c in s]
-
-    return "".join(ret)
-
-
-def _flatten(ll: list) -> list:
-    ret = []
-    for i in ll:
-        if isinstance(i, list):
-            ret.extend(_flatten(i))
-        else:
-            ret.append(i)
-    return ret
diff --git a/spaces/Bart92/RVC_HF/lib/uvr5_pack/lib_v5/layers_new.py b/spaces/Bart92/RVC_HF/lib/uvr5_pack/lib_v5/layers_new.py
deleted file mode 100644
index 0c13e60b0dd136d9115a535101c6dbb2a25c6833..0000000000000000000000000000000000000000
--- a/spaces/Bart92/RVC_HF/lib/uvr5_pack/lib_v5/layers_new.py
+++ /dev/null
@@ -1,125 +0,0 @@
-import torch
-from torch import nn
-import torch.nn.functional as F
-
-from . import spec_utils
-
-
-class Conv2DBNActiv(nn.Module):
-    def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
-        super(Conv2DBNActiv, self).__init__()
-        self.conv = nn.Sequential(
-            nn.Conv2d(
-                nin,
-                nout,
-                kernel_size=ksize,
-                stride=stride,
-                padding=pad,
-                dilation=dilation,
-                bias=False,
-            ),
-            nn.BatchNorm2d(nout),
-            activ(),
-        )
-
-    def __call__(self, x):
-        return self.conv(x)
-
-
-class Encoder(nn.Module):
-    def __init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU):
-        super(Encoder, self).__init__()
-        self.conv1 = Conv2DBNActiv(nin, nout, ksize, stride, pad, activ=activ)
-        self.conv2 = Conv2DBNActiv(nout, nout, ksize, 1, pad, activ=activ)
-
-    def __call__(self, x):
-        h = self.conv1(x)
-        h = self.conv2(h)
-
-        return h
-
-
-class Decoder(nn.Module):
-    def __init__(
-        self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.ReLU, dropout=False
-    ):
-        super(Decoder, self).__init__()
-        self.conv1 = Conv2DBNActiv(nin, nout, ksize, 1, pad, activ=activ)
-        # self.conv2 = Conv2DBNActiv(nout, nout, ksize, 1, pad, activ=activ)
-        self.dropout = nn.Dropout2d(0.1) if dropout else None
-
-    def __call__(self, x, skip=None):
-        x = F.interpolate(x, scale_factor=2, mode="bilinear", align_corners=True)
-
-        if skip is not None:
-            skip = spec_utils.crop_center(skip, x)
-            x = torch.cat([x, skip], dim=1)
-
-        h = self.conv1(x)
-        # h = self.conv2(h)
-
-        if self.dropout is not None:
-            h = self.dropout(h)
-
-        return h
-
-
-class ASPPModule(nn.Module):
-    def __init__(self, nin, nout, dilations=(4, 8, 12), activ=nn.ReLU, dropout=False):
-        super(ASPPModule, self).__init__()
-        self.conv1 = nn.Sequential(
-            nn.AdaptiveAvgPool2d((1, None)),
-            Conv2DBNActiv(nin, nout, 1, 1, 0, activ=activ),
-        )
-        self.conv2 = Conv2DBNActiv(nin, nout, 1, 1, 0, activ=activ)
-        self.conv3 = Conv2DBNActiv(
-            nin, nout, 3, 1, dilations[0], dilations[0], activ=activ
-        )
-        self.conv4 = Conv2DBNActiv(
-            nin, nout, 3, 1, dilations[1], dilations[1], activ=activ
-        )
-        self.conv5 = Conv2DBNActiv(
-            nin, nout, 3, 1, dilations[2], dilations[2], activ=activ
-        )
-        self.bottleneck = Conv2DBNActiv(nout * 5, nout, 1, 1, 0, activ=activ)
-        self.dropout = nn.Dropout2d(0.1) if dropout else None
-
-    def forward(self, x):
-        _, _, h, w = x.size()
-        feat1 = F.interpolate(
-            self.conv1(x), size=(h, w), mode="bilinear", align_corners=True
-        )
-        feat2 = self.conv2(x)
-        feat3 = self.conv3(x)
-        feat4 = self.conv4(x)
-        feat5 = self.conv5(x)
-        out = torch.cat((feat1, feat2, feat3, feat4, feat5), dim=1)
-        out = self.bottleneck(out)
-
-        if self.dropout is not None:
-            out = self.dropout(out)
-
-        return out
-
-
-class LSTMModule(nn.Module):
-    def __init__(self, nin_conv, nin_lstm, nout_lstm):
-        super(LSTMModule, self).__init__()
-        self.conv = Conv2DBNActiv(nin_conv, 1, 1, 1, 0)
-        self.lstm = nn.LSTM(
-            input_size=nin_lstm, hidden_size=nout_lstm // 2, bidirectional=True
-        )
-        self.dense = nn.Sequential(
-            nn.Linear(nout_lstm, nin_lstm), nn.BatchNorm1d(nin_lstm), nn.ReLU()
-        )
-
-    def forward(self, x):
-        N, _, nbins, nframes = x.size()
-        h = self.conv(x)[:, 0]  # N, nbins, nframes
-        h = h.permute(2, 0, 1)  # nframes, N, nbins
-        h, _ = self.lstm(h)
-        h = self.dense(h.reshape(-1, h.size()[-1]))  # nframes * N, nbins
-        h = h.reshape(nframes, N, 1, nbins)
-        h = h.permute(1, 2, 3, 0)
-
-        return h
diff --git a/spaces/Benson/text-generation/Examples/Descargar Cabra Simulador Mod Apk.md b/spaces/Benson/text-generation/Examples/Descargar Cabra Simulador Mod Apk.md
deleted file mode 100644
index 6df38531a68119508c3b22eed343f68a4bd39c76..0000000000000000000000000000000000000000
--- a/spaces/Benson/text-generation/Examples/Descargar Cabra Simulador Mod Apk.md	
+++ /dev/null
@@ -1,82 +0,0 @@
-
-<h1>Cómo descargar Goat Simulator Mod APK 2023(V2.16.4) - Monedas ilimitadas</h1>
- <p>¿Alguna vez has soñado con ser una cabra y causar estragos en un pueblo suburbano? Si es así, entonces necesitas probar Goat Simulator, uno de los juegos más divertidos y absurdos jamás creados. Y si usted quiere hacer su experiencia cabra aún más divertido y loco, usted debe descargar Goat Simulator Mod APK, que le da monedas ilimitadas y el acceso a todas las cabras en el juego. </p>
-<h2>descargar cabra simulador mod apk</h2><br /><p><b><b>Download File</b> &#9999; <a href="https://bltlly.com/2v6MYM">https://bltlly.com/2v6MYM</a></b></p><br /><br />
- <p>En este artículo, le diremos todo lo que necesita saber sobre Goat Simulator, su mod APK, cómo descargarlo e instalarlo, y cómo jugarlo. ¡Así que abróchate el cinturón y prepárate para un poco de acción tástica! </p>
- <h2>¿Qué es Goat Simulator? </h2>
- <p>Goat Simulator es un juego de acción en tercera persona desarrollado y publicado por Coffee Stain Studios en 2014. Es una parodia de los juegos de simulación, donde en lugar de ser un simulador realista, es un juego completamente estúpido lleno de errores y fallos que lo hacen hilarante. </p>
- <p>El juego le permite controlar a una cabra llamada Pilgor, que puede correr, saltar, cabezazo, lamer y destruir cualquier cosa en su camino. El juego no tiene objetivos ni metas, excepto causar tanto caos y destrucción como sea posible en un mapa de mundo abierto. También puedes realizar varios trucos y acrobacias con tu cabra, como rebotar en trampolines, volar con jetpacks o unirte a un culto de cabras. </p>
- <p>El juego ha sido elogiado por su humor, física y creatividad, así como criticado por su falta de pulido y profundidad. Ha recibido críticas mixtas de críticos y jugadores por igual, pero también ha ganado seguidores de culto y ha generado varios spin-offs y DLCs.</p>
- <p>Algunas de las características de Goat Simulator son:</p>
-<ul>
-<li>Puedes ser una cabra</li>
-<li>Puedes obtener puntos por destruir cosas</li>
-<li>Puedes usar Steam Workshop para crear tus propias cabras, niveles, misiones y más</li>
-<li>Puedes disfrutar de millones de errores y fallos que hacen que el juego sea más divertido</li>
-
-<li>Puedes explorar un entorno suburbano lleno de secretos y sorpresas</li>
-</ul>
- <h2>¿Qué es Goat Simulator Mod APK? </h2>
- <p>Goat Simulator Mod APK es una versión modificada del juego original que le da algunas características y ventajas adicionales que no están disponibles en la versión oficial. </p>
-<p></p>
- <p>Algunos de los beneficios de Goat Simulator Mod APK son:</p>
-<ul>
-<li>Obtienes monedas ilimitadas que puedes usar para comprar cualquier cosa en el juego</li>
-<li>Obtienes acceso a todas las cabras en el juego sin tener que desbloquearlas</li>
-<li>Obtienes tiempos de carga más rápidos y un rendimiento más suave</li>
-<li>Te deshaces de anuncios molestos y ventanas emergentes</li>
-<li>Obtienes compatibilidad con la mayoría de dispositivos Android</li>
-</ul>
- <p>Algunas de las características de Goat Simulator Mod APK son:</p>
-<ul>
-<li>versión V2.16.4</li>
-<li>Tamaño: 27 MB + 500 MB Archivo OBB</li>
-<li>Requiere Android 4.0.3 o superior</li>
-<li>No se requiere raíz</li>
-<li>Seguro y libre de virus</li> <h2>Cómo descargar e instalar Goat Simulator Mod APK? </h2>
- <p>Si desea descargar e instalar Goat Simulator Mod APK en su dispositivo Android, es necesario seguir estos sencillos pasos:</p>
-<ol>
-<li>En primer lugar, es necesario descargar el archivo Goat Simulator Mod APK y el archivo OBB de una fuente de confianza. Puede utilizar los siguientes enlaces para obtenerlos:</li>
-<li><a href="">Simulador de cabra Mod APK Enlace de descarga</a></li>
-<li><a href="">Archivo OBB de Goat Simulator Enlace de descarga</a></li>
-<li>Siguiente, es necesario habilitar la instalación de aplicaciones de fuentes desconocidas en el dispositivo. Para hacer esto, vaya a Configuración > Seguridad > Fuentes desconocidas y conéctelo. </li>
-<li>Entonces, necesita localizar los archivos descargados en su dispositivo utilizando una aplicación de administrador de archivos. Puedes usar cualquier aplicación que prefieras, como ES File Explorer o ZArchiver.</li>
-<li>Después de eso, es necesario instalar el archivo Goat Simulator Mod APK tocando en él y siguiendo las instrucciones en la pantalla. </li>
-
-<li>Finalmente, debe mover la carpeta OBB extraída a la siguiente ubicación: Almacenamiento interno > Android > OBB > com.coffeestainstudios.goatsimulator. Si no hay ninguna carpeta OBB, puede crear una. </li>
-</ol>
- <p>Felicidades! Usted ha descargado con éxito e instalado Goat Simulator Mod APK en su dispositivo. Ahora puedes lanzar el juego y disfrutarlo con monedas ilimitadas y todas las cabras desbloqueadas. </p>
- <h2>Cómo jugar Goat Simulator Mod APK? </h2>
- <p>Jugar Goat Simulator Mod APK es muy fácil y divertido. Solo tienes que seguir estos consejos y trucos para aprovechar al máximo su aventura de cabra:</p>
-<ul>
-<li>Para mover la cabra, utilice el joystick en el lado izquierdo de la pantalla. Para mirar alrededor, pase el dedo por el lado derecho de la pantalla. </li>
-<li>A tope de cabeza o lamer algo, toque en los botones en la esquina inferior derecha de la pantalla. También puede arrastrar y soltar objetos con la lengua. </li>
-<li>Para saltar, toca el botón en la esquina inferior izquierda de la pantalla. También puedes hacer doble salto o salto de pared tocando de nuevo en el aire. </li>
-<li> Para realizar trucos y acrobacias, toque el botón en la esquina superior derecha de la pantalla. También puede combinar diferentes trucos para obtener más puntos. </li>
-<li>Para cambiar su cabra, toque el botón en la esquina superior izquierda de la pantalla. Puedes elegir entre diferentes tipos de cabras, como Cabra Alta, Cabra Pluma o Cabra Elegante.</li>
-<li>Para utilizar sus monedas ilimitadas, toque en el icono de la tienda en el centro superior de la pantalla. Puedes comprar varios artículos y accesorios para tu cabra, como sombreros, gafas o jetpacks. </li>
-<li>Para explorar el mapa, simplemente deambular y descubrir nuevos lugares y secretos. También puedes interactuar con varios objetos y personajes del juego, como coches, personas o extraterrestres. </li>
-</ul>
- <p>Diviértete jugando Goat Simulator Mod APK y dar rienda suelta a su cabra interior! </p>
- <h2>Conclusión</h2>
-
- <p>Si desea descargar Goat Simulator Mod APK 2023(V2.16.4), solo tiene que seguir nuestra guía anterior y disfrutar de ser una cabra como nunca antes. Esperamos que haya encontrado este artículo útil e informativo. Gracias por leer y tener un día de cabra-tastic! </p>
- <h3>Preguntas frecuentes</h3>
- <p>Aquí están algunas de las preguntas y respuestas más frecuentes sobre Goat Simulator y su mod APK:</p>
- <tabla>
-<tr><td><b>Q: ¿Es Goat Simulator gratis? </b></td><td><b>A: No, Goat Simulator es un juego pagado que cuesta $4.99 en Google Play Store. Sin embargo, puede descargar Goat Simulator Mod APK gratis desde nuestros enlaces anteriores. </b></td></tr>
-<tr><td><b>Q: ¿Es seguro Goat Simulator Mod APK? </b></td><td><b>A: Sí, Goat Simulator Mod APK es seguro y libre de virus. Lo hemos probado nosotros mismos y no encontramos problemas o malware. Sin embargo, le recomendamos que lo descargue de una fuente confiable y lo escanee con una aplicación antivirus antes de instalarlo. </b></td></tr>
-<tr><td><b>Q: ¿Cuáles son algunas de las mejores cabras en Goat Simulator? </b></td><td <b>A: Algunas de las mejores cabras en Goat Simulator son:</b></td><td><b>A: Algunas de las mejores cabras en Goat Simulator son:</b>>
-<ul>
-<li>Angel Goat: Una cabra que puede volar y tiene un halo. </li>
-<li>Cabra Diabólica: Una cabra que puede invocar demonios y tiene cuernos. </li>
-<li>Spider Goat: Una cabra que puede disparar telarañas y subir paredes. </li>
-<li>Cabra Reina: Una cabra que puede controlar a otras cabras y tiene una corona. </li>
-<li>Anti-Gravity Goat: Una cabra que puede desafiar la gravedad y flotar en el aire. </li>
-</ul>
-</td></tr>
-<tr><td><b>Q: ¿Cómo actualizo Goat Simulator Mod APK? </b></td><td><b>A: Para actualizar Goat Simulator Mod APK, es necesario descargar la última versión del archivo APK mod y el archivo OBB de nuestros enlaces anteriores. Luego, debe desinstalar la versión anterior del juego e instalar la nueva. También debe reemplazar la carpeta OBB antigua con la nueva. Puedes seguir los mismos pasos de arriba para hacer esto. </b></td></tr>
-
-</table></p> 64aa2da5cf<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/BetterAPI/BetterChat/src/styles/highlight-js.css b/spaces/BetterAPI/BetterChat/src/styles/highlight-js.css
deleted file mode 100644
index b262688368e9a946d72b21ae70fba7d711072fbb..0000000000000000000000000000000000000000
--- a/spaces/BetterAPI/BetterChat/src/styles/highlight-js.css
+++ /dev/null
@@ -1 +0,0 @@
-@import "highlight.js/styles/atom-one-dark";
diff --git a/spaces/BetterAPI/BetterChat_new/src/lib/utils/trimPrefix.ts b/spaces/BetterAPI/BetterChat_new/src/lib/utils/trimPrefix.ts
deleted file mode 100644
index d006e66deca639f3f4d208e77a64ba368fab00ee..0000000000000000000000000000000000000000
--- a/spaces/BetterAPI/BetterChat_new/src/lib/utils/trimPrefix.ts
+++ /dev/null
@@ -1,6 +0,0 @@
-export function trimPrefix(input: string, prefix: string) {
-	if (input.startsWith(prefix)) {
-		return input.slice(prefix.length);
-	}
-	return input;
-}
diff --git a/spaces/Big-Web/MMSD/env/Lib/site-packages/setuptools/_distutils/bcppcompiler.py b/spaces/Big-Web/MMSD/env/Lib/site-packages/setuptools/_distutils/bcppcompiler.py
deleted file mode 100644
index 80b6bd852269afc075e38a4280c728f0777c923f..0000000000000000000000000000000000000000
--- a/spaces/Big-Web/MMSD/env/Lib/site-packages/setuptools/_distutils/bcppcompiler.py
+++ /dev/null
@@ -1,408 +0,0 @@
-"""distutils.bcppcompiler
-
-Contains BorlandCCompiler, an implementation of the abstract CCompiler class
-for the Borland C++ compiler.
-"""
-
-# This implementation by Lyle Johnson, based on the original msvccompiler.py
-# module and using the directions originally published by Gordon Williams.
-
-# XXX looks like there's a LOT of overlap between these two classes:
-# someone should sit down and factor out the common code as
-# WindowsCCompiler!  --GPW
-
-
-import os
-import warnings
-
-from distutils.errors import (
-    DistutilsExecError,
-    CompileError,
-    LibError,
-    LinkError,
-    UnknownFileError,
-)
-from distutils.ccompiler import CCompiler, gen_preprocess_options
-from distutils.file_util import write_file
-from distutils.dep_util import newer
-from distutils import log
-
-
-warnings.warn(
-    "bcppcompiler is deprecated and slated to be removed "
-    "in the future. Please discontinue use or file an issue "
-    "with pypa/distutils describing your use case.",
-    DeprecationWarning,
-)
-
-
-class BCPPCompiler(CCompiler):
-    """Concrete class that implements an interface to the Borland C/C++
-    compiler, as defined by the CCompiler abstract class.
-    """
-
-    compiler_type = 'bcpp'
-
-    # Just set this so CCompiler's constructor doesn't barf.  We currently
-    # don't use the 'set_executables()' bureaucracy provided by CCompiler,
-    # as it really isn't necessary for this sort of single-compiler class.
-    # Would be nice to have a consistent interface with UnixCCompiler,
-    # though, so it's worth thinking about.
-    executables = {}
-
-    # Private class data (need to distinguish C from C++ source for compiler)
-    _c_extensions = ['.c']
-    _cpp_extensions = ['.cc', '.cpp', '.cxx']
-
-    # Needed for the filename generation methods provided by the
-    # base class, CCompiler.
-    src_extensions = _c_extensions + _cpp_extensions
-    obj_extension = '.obj'
-    static_lib_extension = '.lib'
-    shared_lib_extension = '.dll'
-    static_lib_format = shared_lib_format = '%s%s'
-    exe_extension = '.exe'
-
-    def __init__(self, verbose=0, dry_run=0, force=0):
-
-        super().__init__(verbose, dry_run, force)
-
-        # These executables are assumed to all be in the path.
-        # Borland doesn't seem to use any special registry settings to
-        # indicate their installation locations.
-
-        self.cc = "bcc32.exe"
-        self.linker = "ilink32.exe"
-        self.lib = "tlib.exe"
-
-        self.preprocess_options = None
-        self.compile_options = ['/tWM', '/O2', '/q', '/g0']
-        self.compile_options_debug = ['/tWM', '/Od', '/q', '/g0']
-
-        self.ldflags_shared = ['/Tpd', '/Gn', '/q', '/x']
-        self.ldflags_shared_debug = ['/Tpd', '/Gn', '/q', '/x']
-        self.ldflags_static = []
-        self.ldflags_exe = ['/Gn', '/q', '/x']
-        self.ldflags_exe_debug = ['/Gn', '/q', '/x', '/r']
-
-    # -- Worker methods ------------------------------------------------
-
-    def compile(  # noqa: C901
-        self,
-        sources,
-        output_dir=None,
-        macros=None,
-        include_dirs=None,
-        debug=0,
-        extra_preargs=None,
-        extra_postargs=None,
-        depends=None,
-    ):
-
-        macros, objects, extra_postargs, pp_opts, build = self._setup_compile(
-            output_dir, macros, include_dirs, sources, depends, extra_postargs
-        )
-        compile_opts = extra_preargs or []
-        compile_opts.append('-c')
-        if debug:
-            compile_opts.extend(self.compile_options_debug)
-        else:
-            compile_opts.extend(self.compile_options)
-
-        for obj in objects:
-            try:
-                src, ext = build[obj]
-            except KeyError:
-                continue
-            # XXX why do the normpath here?
-            src = os.path.normpath(src)
-            obj = os.path.normpath(obj)
-            # XXX _setup_compile() did a mkpath() too but before the normpath.
-            # Is it possible to skip the normpath?
-            self.mkpath(os.path.dirname(obj))
-
-            if ext == '.res':
-                # This is already a binary file -- skip it.
-                continue  # the 'for' loop
-            if ext == '.rc':
-                # This needs to be compiled to a .res file -- do it now.
-                try:
-                    self.spawn(["brcc32", "-fo", obj, src])
-                except DistutilsExecError as msg:
-                    raise CompileError(msg)
-                continue  # the 'for' loop
-
-            # The next two are both for the real compiler.
-            if ext in self._c_extensions:
-                input_opt = ""
-            elif ext in self._cpp_extensions:
-                input_opt = "-P"
-            else:
-                # Unknown file type -- no extra options.  The compiler
-                # will probably fail, but let it just in case this is a
-                # file the compiler recognizes even if we don't.
-                input_opt = ""
-
-            output_opt = "-o" + obj
-
-            # Compiler command line syntax is: "bcc32 [options] file(s)".
-            # Note that the source file names must appear at the end of
-            # the command line.
-            try:
-                self.spawn(
-                    [self.cc]
-                    + compile_opts
-                    + pp_opts
-                    + [input_opt, output_opt]
-                    + extra_postargs
-                    + [src]
-                )
-            except DistutilsExecError as msg:
-                raise CompileError(msg)
-
-        return objects
-
-    # compile ()
-
-    def create_static_lib(
-        self, objects, output_libname, output_dir=None, debug=0, target_lang=None
-    ):
-
-        (objects, output_dir) = self._fix_object_args(objects, output_dir)
-        output_filename = self.library_filename(output_libname, output_dir=output_dir)
-
-        if self._need_link(objects, output_filename):
-            lib_args = [output_filename, '/u'] + objects
-            if debug:
-                pass  # XXX what goes here?
-            try:
-                self.spawn([self.lib] + lib_args)
-            except DistutilsExecError as msg:
-                raise LibError(msg)
-        else:
-            log.debug("skipping %s (up-to-date)", output_filename)
-
-    # create_static_lib ()
-
-    def link(  # noqa: C901
-        self,
-        target_desc,
-        objects,
-        output_filename,
-        output_dir=None,
-        libraries=None,
-        library_dirs=None,
-        runtime_library_dirs=None,
-        export_symbols=None,
-        debug=0,
-        extra_preargs=None,
-        extra_postargs=None,
-        build_temp=None,
-        target_lang=None,
-    ):
-
-        # XXX this ignores 'build_temp'!  should follow the lead of
-        # msvccompiler.py
-
-        (objects, output_dir) = self._fix_object_args(objects, output_dir)
-        (libraries, library_dirs, runtime_library_dirs) = self._fix_lib_args(
-            libraries, library_dirs, runtime_library_dirs
-        )
-
-        if runtime_library_dirs:
-            log.warn(
-                "I don't know what to do with 'runtime_library_dirs': %s",
-                str(runtime_library_dirs),
-            )
-
-        if output_dir is not None:
-            output_filename = os.path.join(output_dir, output_filename)
-
-        if self._need_link(objects, output_filename):
-
-            # Figure out linker args based on type of target.
-            if target_desc == CCompiler.EXECUTABLE:
-                startup_obj = 'c0w32'
-                if debug:
-                    ld_args = self.ldflags_exe_debug[:]
-                else:
-                    ld_args = self.ldflags_exe[:]
-            else:
-                startup_obj = 'c0d32'
-                if debug:
-                    ld_args = self.ldflags_shared_debug[:]
-                else:
-                    ld_args = self.ldflags_shared[:]
-
-            # Create a temporary exports file for use by the linker
-            if export_symbols is None:
-                def_file = ''
-            else:
-                head, tail = os.path.split(output_filename)
-                modname, ext = os.path.splitext(tail)
-                temp_dir = os.path.dirname(objects[0])  # preserve tree structure
-                def_file = os.path.join(temp_dir, '%s.def' % modname)
-                contents = ['EXPORTS']
-                for sym in export_symbols or []:
-                    contents.append('  {}=_{}'.format(sym, sym))
-                self.execute(write_file, (def_file, contents), "writing %s" % def_file)
-
-            # Borland C++ has problems with '/' in paths
-            objects2 = map(os.path.normpath, objects)
-            # split objects in .obj and .res files
-            # Borland C++ needs them at different positions in the command line
-            objects = [startup_obj]
-            resources = []
-            for file in objects2:
-                (base, ext) = os.path.splitext(os.path.normcase(file))
-                if ext == '.res':
-                    resources.append(file)
-                else:
-                    objects.append(file)
-
-            for ell in library_dirs:
-                ld_args.append("/L%s" % os.path.normpath(ell))
-            ld_args.append("/L.")  # we sometimes use relative paths
-
-            # list of object files
-            ld_args.extend(objects)
-
-            # XXX the command-line syntax for Borland C++ is a bit wonky;
-            # certain filenames are jammed together in one big string, but
-            # comma-delimited.  This doesn't mesh too well with the
-            # Unix-centric attitude (with a DOS/Windows quoting hack) of
-            # 'spawn()', so constructing the argument list is a bit
-            # awkward.  Note that doing the obvious thing and jamming all
-            # the filenames and commas into one argument would be wrong,
-            # because 'spawn()' would quote any filenames with spaces in
-            # them.  Arghghh!.  Apparently it works fine as coded...
-
-            # name of dll/exe file
-            ld_args.extend([',', output_filename])
-            # no map file and start libraries
-            ld_args.append(',,')
-
-            for lib in libraries:
-                # see if we find it and if there is a bcpp specific lib
-                # (xxx_bcpp.lib)
-                libfile = self.find_library_file(library_dirs, lib, debug)
-                if libfile is None:
-                    ld_args.append(lib)
-                    # probably a BCPP internal library -- don't warn
-                else:
-                    # full name which prefers bcpp_xxx.lib over xxx.lib
-                    ld_args.append(libfile)
-
-            # some default libraries
-            ld_args.append('import32')
-            ld_args.append('cw32mt')
-
-            # def file for export symbols
-            ld_args.extend([',', def_file])
-            # add resource files
-            ld_args.append(',')
-            ld_args.extend(resources)
-
-            if extra_preargs:
-                ld_args[:0] = extra_preargs
-            if extra_postargs:
-                ld_args.extend(extra_postargs)
-
-            self.mkpath(os.path.dirname(output_filename))
-            try:
-                self.spawn([self.linker] + ld_args)
-            except DistutilsExecError as msg:
-                raise LinkError(msg)
-
-        else:
-            log.debug("skipping %s (up-to-date)", output_filename)
-
-    # link ()
-
-    # -- Miscellaneous methods -----------------------------------------
-
-    def find_library_file(self, dirs, lib, debug=0):
-        # List of effective library names to try, in order of preference:
-        # xxx_bcpp.lib is better than xxx.lib
-        # and xxx_d.lib is better than xxx.lib if debug is set
-        #
-        # The "_bcpp" suffix is to handle a Python installation for people
-        # with multiple compilers (primarily Distutils hackers, I suspect
-        # ;-).  The idea is they'd have one static library for each
-        # compiler they care about, since (almost?) every Windows compiler
-        # seems to have a different format for static libraries.
-        if debug:
-            dlib = lib + "_d"
-            try_names = (dlib + "_bcpp", lib + "_bcpp", dlib, lib)
-        else:
-            try_names = (lib + "_bcpp", lib)
-
-        for dir in dirs:
-            for name in try_names:
-                libfile = os.path.join(dir, self.library_filename(name))
-                if os.path.exists(libfile):
-                    return libfile
-        else:
-            # Oops, didn't find it in *any* of 'dirs'
-            return None
-
-    # overwrite the one from CCompiler to support rc and res-files
-    def object_filenames(self, source_filenames, strip_dir=0, output_dir=''):
-        if output_dir is None:
-            output_dir = ''
-        obj_names = []
-        for src_name in source_filenames:
-            # use normcase to make sure '.rc' is really '.rc' and not '.RC'
-            (base, ext) = os.path.splitext(os.path.normcase(src_name))
-            if ext not in (self.src_extensions + ['.rc', '.res']):
-                raise UnknownFileError(
-                    "unknown file type '{}' (from '{}')".format(ext, src_name)
-                )
-            if strip_dir:
-                base = os.path.basename(base)
-            if ext == '.res':
-                # these can go unchanged
-                obj_names.append(os.path.join(output_dir, base + ext))
-            elif ext == '.rc':
-                # these need to be compiled to .res-files
-                obj_names.append(os.path.join(output_dir, base + '.res'))
-            else:
-                obj_names.append(os.path.join(output_dir, base + self.obj_extension))
-        return obj_names
-
-    # object_filenames ()
-
-    def preprocess(
-        self,
-        source,
-        output_file=None,
-        macros=None,
-        include_dirs=None,
-        extra_preargs=None,
-        extra_postargs=None,
-    ):
-
-        (_, macros, include_dirs) = self._fix_compile_args(None, macros, include_dirs)
-        pp_opts = gen_preprocess_options(macros, include_dirs)
-        pp_args = ['cpp32.exe'] + pp_opts
-        if output_file is not None:
-            pp_args.append('-o' + output_file)
-        if extra_preargs:
-            pp_args[:0] = extra_preargs
-        if extra_postargs:
-            pp_args.extend(extra_postargs)
-        pp_args.append(source)
-
-        # We need to preprocess: either we're being forced to, or the
-        # source file is newer than the target (or the target doesn't
-        # exist).
-        if self.force or output_file is None or newer(source, output_file):
-            if output_file:
-                self.mkpath(os.path.dirname(output_file))
-            try:
-                self.spawn(pp_args)
-            except DistutilsExecError as msg:
-                print(msg)
-                raise CompileError(msg)
-
-    # preprocess()
diff --git a/spaces/BraydenMoore/MARCI-NFL-Betting/update_data.bat b/spaces/BraydenMoore/MARCI-NFL-Betting/update_data.bat
deleted file mode 100644
index 24aca3d0228ef0704d307196f3bb7a7b1bc43701..0000000000000000000000000000000000000000
--- a/spaces/BraydenMoore/MARCI-NFL-Betting/update_data.bat
+++ /dev/null
@@ -1,11 +0,0 @@
-python "C:\Users\Brayden\OneDrive - stern.nyu.edu\Brayden Moore LLC\Python\Projects\MARCI 3.0\MARCI-NFL-Betting\Source\Build\update.py"
-python "C:\Users\Brayden\OneDrive - stern.nyu.edu\Brayden Moore LLC\Python\Projects\MARCI 3.0\MARCI-NFL-Betting\get_record.py"
-cd "C:\Users\Brayden\OneDrive - stern.nyu.edu\Brayden Moore LLC\Python\Projects\MARCI 3.0\MARCI-NFL-Betting"
-git add "Source\Data\gbg_and_odds_this_year.csv"
-git add "Source\Data\gbg_this_year.csv"
-git add "Source\Data\results.csv"
-git add "Source\Data\record.json"
-git add "Source\Data\lines.json"
-git commit -m "Update with up to date data"
-git push
-pause
\ No newline at end of file
diff --git a/spaces/CALM/Dashboard/streamlit_observable/frontend/src/streamlit/StreamlitReact.tsx b/spaces/CALM/Dashboard/streamlit_observable/frontend/src/streamlit/StreamlitReact.tsx
deleted file mode 100644
index c3dc26a7f14e52c504a06ada81fd11e16605fc51..0000000000000000000000000000000000000000
--- a/spaces/CALM/Dashboard/streamlit_observable/frontend/src/streamlit/StreamlitReact.tsx
+++ /dev/null
@@ -1,150 +0,0 @@
-import hoistNonReactStatics from "hoist-non-react-statics"
-import React, { ReactNode } from "react"
-import { RenderData, Streamlit } from "./streamlit"
-
-/**
- * Props passed to custom Streamlit components.
- */
-export interface ComponentProps {
-  /** Named dictionary of arguments passed from Python. */
-  args: any
-
-  /** The component's width. */
-  width: number
-
-  /**
-   * True if the component should be disabled.
-   * All components get disabled while the app is being re-run,
-   * and become re-enabled when the re-run has finished.
-   */
-  disabled: boolean
-}
-
-/**
- * Optional Streamlit React-based component base class.
- *
- * You are not required to extend this base class to create a Streamlit
- * component. If you decide not to extend it, you should implement the
- * `componentDidMount` and `componentDidUpdate` functions in your own class,
- * so that your plugin properly resizes.
- */
-export class StreamlitComponentBase<S = {}> extends React.PureComponent<
-  ComponentProps,
-  S
-  > {
-  public componentDidMount(): void {
-    // After we're rendered for the first time, tell Streamlit that our height
-    // has changed.
-    Streamlit.setFrameHeight()
-  }
-
-  public componentDidUpdate(): void {
-    // After we're updated, tell Streamlit that our height may have changed.
-    Streamlit.setFrameHeight()
-  }
-}
-
-/**
- * Wrapper for React-based Streamlit components.
- *
- * Bootstraps the communication interface between Streamlit and the component.
- */
-export function withStreamlitConnection(
-  WrappedComponent: React.ComponentType<ComponentProps>
-): React.ComponentType {
-  interface WrapperProps { }
-
-  interface WrapperState {
-    renderData?: RenderData
-    componentError?: Error
-  }
-
-  class ComponentWrapper extends React.PureComponent<
-    WrapperProps,
-    WrapperState
-    > {
-    public constructor(props: WrapperProps) {
-      super(props)
-      this.state = {
-        renderData: undefined,
-        componentError: undefined,
-      }
-    }
-
-    /**
-     * Error boundary function. This will be called if our wrapped
-     * component throws an error. We store the caught error in our state,
-     * and display it in the next render().
-     */
-    public static getDerivedStateFromError = (
-      error: Error
-    ): Partial<WrapperState> => {
-      return { componentError: error }
-    }
-
-    public componentDidMount = (): void => {
-      // Set up event listeners, and signal to Streamlit that we're ready.
-      // We won't render the component until we receive the first RENDER_EVENT.
-      Streamlit.events.addEventListener(
-        Streamlit.RENDER_EVENT,
-        this.onRenderEvent
-      )
-      Streamlit.setComponentReady()
-    }
-
-    public componentDidUpdate = (prevProps: any): void => {
-      // If our child threw an error, we display it in render(). In this
-      // case, the child won't be mounted and therefore won't call
-      // `setFrameHeight` on its own. We do it here so that the rendered
-      // error will be visible.
-      if (this.state.componentError != null) {
-        Streamlit.setFrameHeight()
-      }
-    }
-
-    public componentWillUnmount = (): void => {
-      Streamlit.events.removeEventListener(
-        Streamlit.RENDER_EVENT,
-        this.onRenderEvent
-      )
-    }
-
-    /**
-     * Streamlit is telling this component to redraw.
-     * We save the render data in State, so that it can be passed to the
-     * component in our own render() function.
-     */
-    private onRenderEvent = (event: Event): void => {
-      // Update our state with the newest render data
-      const renderEvent = event as CustomEvent<RenderData>
-      this.setState({ renderData: renderEvent.detail })
-    }
-
-    public render = (): ReactNode => {
-      // If our wrapped component threw an error, display it.
-      if (this.state.componentError != null) {
-        return (
-          <div>
-            <h1>Component Error</h1>
-            <span>{this.state.componentError.message}</span>
-          </div>
-        )
-      }
-
-      // Don't render until we've gotten our first RENDER_EVENT from Streamlit.
-      if (this.state.renderData == null) {
-        return null
-      }
-
-      return (
-        <WrappedComponent
-          width={window.innerWidth}
-          disabled={this.state.renderData.disabled}
-          args={this.state.renderData.args}
-        />
-      )
-    }
-  }
-
-  return hoistNonReactStatics(ComponentWrapper, WrappedComponent)
-}
diff --git a/spaces/CVPR/Dual-Key_Backdoor_Attacks/weight_analysis/wt_hist_classifier.py b/spaces/CVPR/Dual-Key_Backdoor_Attacks/weight_analysis/wt_hist_classifier.py
deleted file mode 100644
index cc21c9a737811cf05eef8ab1af8d62c4263b2a19..0000000000000000000000000000000000000000
--- a/spaces/CVPR/Dual-Key_Backdoor_Attacks/weight_analysis/wt_hist_classifier.py
+++ /dev/null
@@ -1,158 +0,0 @@
-"""
-=========================================================================================
-Trojan VQA
-Written by Indranil Sur
-
-Weight sensitivity analysis on last layers of TrojVQA clean and trojan models.
-=========================================================================================
-"""
-import os
-import copy
-import json
-import torch
-import errno
-import pandas as pd
-import numpy as np
-import argparse
-from pathlib import Path
-
-
-from xgboost import XGBClassifier
-from sklearn.linear_model import LogisticRegression
-from sklearn.ensemble import RandomForestClassifier, StackingClassifier
-from sklearn.svm import SVC
-from sklearn.metrics import roc_curve,auc
-from sklearn.model_selection import StratifiedKFold
-
-
-
-# List of shallow classifiers to test
-e1 = [
-     ('rf', RandomForestClassifier(n_estimators=10, random_state=42)),
-     ('svr', SVC(kernel='linear', probability=True))
-]
-
-clfs = [
-    ('XGB', XGBClassifier(eval_metric='mlogloss',use_label_encoder=False)),
-    ('XGB_2', XGBClassifier(max_depth=2,gamma=2,eta=0.8,reg_alpha=0.5,reg_lambda=0.5,eval_metric='mlogloss',use_label_encoder=False)),
-    ('LR', LogisticRegression(random_state=0, class_weight='balanced', C=1)),
-    ('RF', RandomForestClassifier(random_state=0)),
-    ('RF_10', RandomForestClassifier(n_estimators=10, random_state=42)),
-    ('SVC_l', SVC(kernel='linear', probability=True)),
-    ('SVC_r', SVC(kernel='rbf', probability=True)),
-#     ('SVC_p', SVC(kernel='poly', probability=True)),
-    ('RF+SVC', StackingClassifier(estimators=e1, final_estimator=LogisticRegression())),    
-]
-
-# List of all the architectures
-model_archs = ['butd_eff', 'mfb', 'mfh', 'mcan_small', 'mcan_large', 'mmnasnet_small', 'mmnasnet_large', 'ban_4', 'ban_8', 'butd']
-
-
-
-def cross_entropy(prob, labels):
-    """
-    Code to compute cross-entropy
-    prob: probabilities from the model (numpy: Nx1)
-    labels: ground-truth labels (numpy: Nx1)
-    """
-    prob = torch.Tensor(prob).squeeze()
-    labels = torch.Tensor(labels).squeeze()
-    assert (
-        prob.shape == labels.shape
-    ), "Check size of labels and probabilities in computing cross-entropy"
-    ce = torch.nn.functional.binary_cross_entropy(prob, labels, reduction='none')
-    return ce.mean().item()
-
-
-def get_feature(metadata, root):
-    feature_lst = []
-    for model_id in metadata.model_name.to_list():
-        feat = np.load('{}/{}.npy'.format(root, model_id))
-        feature_lst.append(feat)
-    return feature_lst
-
-
-def get_measures(features_train, labels_train, features_test, labels_test, ret_ce=True, n_splits=5):
-    ret = {}
-    for name, _clf in clfs:
-        # print (name)
-        clf = copy.deepcopy(_clf)
-        clf = clf.fit(features_train, labels_train)
-        pred_test = clf.predict_proba(features_test)
-
-        fpr, tpr, t = roc_curve(labels_test, pred_test[:, 1])
-        roc_auc = auc(fpr, tpr)
-        ret[name] = {'auc': roc_auc}
-        
-        if ret_ce:
-            ret[name]['ce'] = cross_entropy(pred_test[:, 1], labels_test)
-            
-        if n_splits is not None:
-            kfold = StratifiedKFold(n_splits=5,shuffle=False)
-            cv_rocs = []
-            cv_ces = []
-            for train, test in kfold.split(features_train, labels_train):
-                clf = copy.deepcopy(_clf)
-                clf = clf.fit(features_train[train], labels_train[train])
-                pred_test = clf.predict_proba(features_train[test])
-
-                fpr, tpr, t = roc_curve(labels_train[test], pred_test[:, 1])
-                roc_auc = auc(fpr, tpr)
-                cv_rocs.append(roc_auc)
-
-                if ret_ce:
-                    ce = cross_entropy(pred_test[:, 1], labels_train[test])
-                    cv_ces.append(ce)
-
-            ret[name]['cv_auc_mean'] = np.mean(cv_rocs)
-            ret[name]['cv_auc_std'] = np.std(cv_rocs)
-            if ret_ce:
-                ret[name]['cv_ce_mean'] = np.mean(cv_ces)
-                ret[name]['cv_ce_std'] = np.std(cv_ces)
-    return ret
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser(description='Train shallow classifiers from wt features')
-    parser.add_argument('--ds_root', type=str, help='Root of data', required=True)
-    parser.add_argument('--ds', type=str, help='dataset', default='v1')
-    parser.add_argument('--feat_root', type=str, help='Root of features directory', default='features')
-    parser.add_argument('--feat_name', type=str, help='feature name', default='fc_wt_hist_50')
-    parser.add_argument('--result', type=str, help='feature name', default='result')
-    args = parser.parse_args()
-
-    root_train = Path(args.ds_root)/'{}-train-dataset/'.format(args.ds)
-    root_test  = Path(args.ds_root)/'{}-test-dataset/'.format(args.ds)
-    metadata_train = pd.read_csv(root_train/'METADATA.csv')
-    metadata_test  = pd.read_csv(root_test/'METADATA.csv')
-
-    feature_dir_train = Path(args.feat_root)/args.ds/args.feat_name/'train'
-    feature_dir_test  = Path(args.feat_root)/args.ds/args.feat_name/'test'
-    feature_lst_train = get_feature(metadata_train, feature_dir_train)
-    feature_lst_test = get_feature(metadata_test, feature_dir_test)
-
-    features_train = np.stack(feature_lst_train)
-    features_test = np.stack(feature_lst_test)
-    labels_train = metadata_train.d_clean.to_numpy()
-    labels_test = metadata_test.d_clean.to_numpy()
-
-    try:
-        os.makedirs(args.result)
-    except OSError as e:
-        if e.errno != errno.EEXIST:
-            pass
-    out_file  = Path(args.result)/'{}.json'.format(args.ds)
-
-    all_results = {}
-    all_results['ALL'] = get_measures(features_train, labels_train, features_test, labels_test)
-
-    for model in model_archs:
-        _features_train = features_train[metadata_train.model==model]
-        _labels_train = labels_train[metadata_train.model==model]
-        _features_test = features_test[metadata_test.model==model]
-        _labels_test = labels_test[metadata_test.model==model]
-
-        all_results[model] = get_measures(_features_train, _labels_train, _features_test, _labels_test)
-
-    with open(out_file, 'w') as outfile:
-        json.dump(all_results, outfile, indent=4)
\ No newline at end of file
diff --git a/spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/copy.h b/spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/copy.h
deleted file mode 100644
index ef51e4a5bc88e1dfc9c480878529bef4ee401962..0000000000000000000000000000000000000000
--- a/spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/copy.h
+++ /dev/null
@@ -1,198 +0,0 @@
-/******************************************************************************
- * Copyright (c) 2016, NVIDIA CORPORATION.  All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions are met:
- *     * Redistributions of source code must retain the above copyright
- *       notice, this list of conditions and the following disclaimer.
- *     * Redistributions in binary form must reproduce the above copyright
- *       notice, this list of conditions and the following disclaimer in the
- *       documentation and/or other materials provided with the distribution.
- *     * Neither the name of the NVIDIA CORPORATION nor the
- *       names of its contributors may be used to endorse or promote products
- *       derived from this software without specific prior written permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
- * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
- * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
- * ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
- * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
- * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- *
- ******************************************************************************/
-#pragma once
-
-
-#include <thrust/system/cuda/config.h>
-#include <thrust/system/cuda/detail/execution_policy.h>
-#include <thrust/system/cuda/detail/cross_system.h>
-
-namespace thrust
-{
-
-template <typename DerivedPolicy, typename InputIt, typename OutputIt>
-__host__ __device__ OutputIt
-copy(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
-     InputIt                                                     first,
-     InputIt                                                     last,
-     OutputIt                                                    result);
-
-template <class DerivedPolicy, class InputIt, class Size, class OutputIt>
-__host__ __device__ OutputIt
-copy_n(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
-       InputIt                                                     first,
-       Size                                                        n,
-       OutputIt                                                    result);
-
-namespace cuda_cub {
-
-// D->D copy requires NVCC compiler
-template <class System,
-          class InputIterator,
-          class OutputIterator>
-OutputIterator __host__ __device__
-copy(execution_policy<System> &system,
-     InputIterator             first,
-     InputIterator             last,
-     OutputIterator            result);
-
-template <class System1,
-          class System2,
-          class InputIterator,
-          class OutputIterator>
-OutputIterator __host__
-copy(cross_system<System1, System2> systems,
-     InputIterator  first,
-     InputIterator  last,
-     OutputIterator result);
-
-template <class System,
-          class InputIterator,
-          class Size,
-          class OutputIterator>
-OutputIterator __host__ __device__
-copy_n(execution_policy<System> &system,
-       InputIterator             first,
-       Size                      n,
-       OutputIterator            result);
-
-template <class System1,
-          class System2,
-          class InputIterator,
-          class Size,
-          class OutputIterator>
-OutputIterator __host__
-copy_n(cross_system<System1, System2> systems,
-       InputIterator  first,
-       Size           n,
-       OutputIterator result);
-
-}    // namespace cuda_
-} // end namespace thrust
-
-
-
-#include <thrust/system/cuda/detail/internal/copy_device_to_device.h>
-#include <thrust/system/cuda/detail/internal/copy_cross_system.h>
-#include <thrust/system/cuda/detail/par_to_seq.h>
-
-namespace thrust
-{
-namespace cuda_cub {
-
-
-#if THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_NVCC
-// D->D copy requires NVCC compiler
-
-__thrust_exec_check_disable__
-template <class System,
-          class InputIterator,
-          class OutputIterator>
-OutputIterator __host__ __device__
-copy(execution_policy<System> &system,
-     InputIterator             first,
-     InputIterator             last,
-     OutputIterator            result)
-{
-  OutputIterator ret = result;
-  if (__THRUST_HAS_CUDART__)
-  {
-    ret = __copy::device_to_device(system, first, last, result);
-  }
-  else
-  {
-#if !__THRUST_HAS_CUDART__
-    ret = thrust::copy(cvt_to_seq(derived_cast(system)),
-                       first,
-                       last,
-                       result);
-#endif
-  }
-
-  return ret;
-}    // end copy()
-
-__thrust_exec_check_disable__
-template <class System,
-          class InputIterator,
-          class Size,
-          class OutputIterator>
-OutputIterator __host__ __device__
-copy_n(execution_policy<System> &system,
-       InputIterator             first,
-       Size                      n,
-       OutputIterator            result)
-{
-  OutputIterator ret = result;
-  if (__THRUST_HAS_CUDART__)
-  {
-    ret = __copy::device_to_device(system, first, first + n, result);
-  }
-  else
-  {
-#if !__THRUST_HAS_CUDART__
-    ret = thrust::copy_n(cvt_to_seq(derived_cast(system)), first, n, result);
-#endif
-  }
-
-  return ret;
-} // end copy_n()
-#endif
-
-template <class System1,
-          class System2,
-          class InputIterator,
-          class OutputIterator>
-OutputIterator __host__
-copy(cross_system<System1, System2> systems,
-     InputIterator  first,
-     InputIterator  last,
-     OutputIterator result)
-{
-  return __copy::cross_system_copy(systems,first,last,result);
-} // end copy()
-
-template <class System1,
-          class System2,
-          class InputIterator,
-          class Size,
-          class OutputIterator>
-OutputIterator __host__
-copy_n(cross_system<System1, System2> systems,
-       InputIterator  first,
-       Size           n,
-       OutputIterator result)
-{
-  return __copy::cross_system_copy_n(systems, first, n, result);
-} // end copy_n()
-
-
-}    // namespace cuda_cub
-} // end namespace thrust
-
-#include <thrust/memory.h>
-#include <thrust/detail/temporary_array.h>
diff --git a/spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/remove.h b/spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/remove.h
deleted file mode 100644
index 700c95f23ccd6dd55160e2284e211289cecbdb89..0000000000000000000000000000000000000000
--- a/spaces/CVPR/LIVE/thrust/thrust/system/cuda/detail/remove.h
+++ /dev/null
@@ -1,134 +0,0 @@
-/******************************************************************************
- * Copyright (c) 2016, NVIDIA CORPORATION.  All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions are met:
- *     * Redistributions of source code must retain the above copyright
- *       notice, this list of conditions and the following disclaimer.
- *     * Redistributions in binary form must reproduce the above copyright
- *       notice, this list of conditions and the following disclaimer in the
- *       documentation and/or other materials provided with the distribution.
- *     * Neither the name of the NVIDIA CORPORATION nor the
- *       names of its contributors may be used to endorse or promote products
- *       derived from this software without specific prior written permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
- * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
- * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
- * ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
- * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
- * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- *
- ******************************************************************************/
-#pragma once
-
-
-#if THRUST_DEVICE_COMPILER == THRUST_DEVICE_COMPILER_NVCC
-#include <thrust/system/cuda/detail/copy_if.h>
-
-namespace thrust
-{
-namespace cuda_cub {
-
-// in-place
-  
-template <class Derived,
-          class InputIt,
-          class StencilIt,
-          class Predicate>
-InputIt __host__ __device__
-remove_if(execution_policy<Derived> &policy,
-          InputIt                    first,
-          InputIt                    last,
-          StencilIt                  stencil,
-          Predicate                  predicate)
-{
-  return cuda_cub::copy_if(policy, first, last, stencil, first,
-    thrust::detail::not1(predicate));
-}
-
-template <class Derived,
-          class InputIt,
-          class Predicate>
-InputIt __host__ __device__
-remove_if(execution_policy<Derived> &policy,
-          InputIt                    first,
-          InputIt                    last,
-          Predicate                  predicate)
-{
-  return cuda_cub::copy_if(policy, first, last, first,
-    thrust::detail::not1(predicate));
-}
-
-
-template <class Derived,
-          class InputIt,
-          class T>
-InputIt __host__ __device__
-remove(execution_policy<Derived> &policy,
-       InputIt                    first,
-       InputIt                    last,
-       const T &                  value)
-{
-  using thrust::placeholders::_1;
-
-  return cuda_cub::remove_if(policy, first, last, _1 == value);
-}
-
-// copy
-
-template <class Derived,
-          class InputIt,
-          class StencilIt,
-          class OutputIt,
-          class Predicate>
-OutputIt __host__ __device__
-remove_copy_if(execution_policy<Derived> &policy,
-               InputIt                    first,
-               InputIt                    last,
-               StencilIt                  stencil,
-               OutputIt                   result,
-               Predicate                  predicate)
-{
-  return cuda_cub::copy_if(policy, first, last, stencil, result,
-    thrust::detail::not1(predicate));
-}
-
-template <class Derived,
-          class InputIt,
-          class OutputIt,
-          class Predicate>
-OutputIt __host__ __device__
-remove_copy_if(execution_policy<Derived> &policy,
-               InputIt                    first,
-               InputIt                    last,
-               OutputIt                   result,
-               Predicate                  predicate)
-{
-  return cuda_cub::copy_if(policy, first, last, result,
-    thrust::detail::not1(predicate));
-}
-
-
-template <class Derived,
-          class InputIt,
-          class OutputIt,
-          class T>
-OutputIt __host__ __device__
-remove_copy(execution_policy<Derived> &policy,
-            InputIt                    first,
-            InputIt                    last,
-            OutputIt                   result,
-            const T &                  value)
-{
-  thrust::detail::equal_to_value<T> pred(value);
-  return cuda_cub::remove_copy_if(policy, first, last, result, pred);
-}
-
-}    // namespace cuda_cub
-} // end namespace thrust
-#endif
diff --git a/spaces/CVPR/WALT/mmdet/models/dense_heads/base_dense_head.py b/spaces/CVPR/WALT/mmdet/models/dense_heads/base_dense_head.py
deleted file mode 100644
index de11e4a2197b1dfe241ce7a66daa1907a8fc5661..0000000000000000000000000000000000000000
--- a/spaces/CVPR/WALT/mmdet/models/dense_heads/base_dense_head.py
+++ /dev/null
@@ -1,59 +0,0 @@
-from abc import ABCMeta, abstractmethod
-
-import torch.nn as nn
-
-
-class BaseDenseHead(nn.Module, metaclass=ABCMeta):
-    """Base class for DenseHeads."""
-
-    def __init__(self):
-        super(BaseDenseHead, self).__init__()
-
-    @abstractmethod
-    def loss(self, **kwargs):
-        """Compute losses of the head."""
-        pass
-
-    @abstractmethod
-    def get_bboxes(self, **kwargs):
-        """Transform network output for a batch into bbox predictions."""
-        pass
-
-    def forward_train(self,
-                      x,
-                      img_metas,
-                      gt_bboxes,
-                      gt_labels=None,
-                      gt_bboxes_ignore=None,
-                      proposal_cfg=None,
-                      **kwargs):
-        """
-        Args:
-            x (list[Tensor]): Features from FPN.
-            img_metas (list[dict]): Meta information of each image, e.g.,
-                image size, scaling factor, etc.
-            gt_bboxes (Tensor): Ground truth bboxes of the image,
-                shape (num_gts, 4).
-            gt_labels (Tensor): Ground truth labels of each box,
-                shape (num_gts,).
-            gt_bboxes_ignore (Tensor): Ground truth bboxes to be
-                ignored, shape (num_ignored_gts, 4).
-            proposal_cfg (mmcv.Config): Test / postprocessing configuration,
-                if None, test_cfg would be used
-
-        Returns:
-            tuple:
-                losses: (dict[str, Tensor]): A dictionary of loss components.
-                proposal_list (list[Tensor]): Proposals of each image.
-        """
-        outs = self(x)
-        if gt_labels is None:
-            loss_inputs = outs + (gt_bboxes, img_metas)
-        else:
-            loss_inputs = outs + (gt_bboxes, gt_labels, img_metas)
-        losses = self.loss(*loss_inputs, gt_bboxes_ignore=gt_bboxes_ignore)
-        if proposal_cfg is None:
-            return losses
-        else:
-            proposal_list = self.get_bboxes(*outs, img_metas, cfg=proposal_cfg)
-            return losses, proposal_list
diff --git a/spaces/CVPR/WALT/mmdet/utils/optimizer.py b/spaces/CVPR/WALT/mmdet/utils/optimizer.py
deleted file mode 100644
index 9c9d11941c0b43d42bd6daad1e4b927eaca3e675..0000000000000000000000000000000000000000
--- a/spaces/CVPR/WALT/mmdet/utils/optimizer.py
+++ /dev/null
@@ -1,33 +0,0 @@
-from mmcv.runner import OptimizerHook, HOOKS
-try:
-    import apex
-except:
-    print('apex is not installed')
-
-
-@HOOKS.register_module()
-class DistOptimizerHook(OptimizerHook):
-    """Optimizer hook for distributed training."""
-
-    def __init__(self, update_interval=1, grad_clip=None, coalesce=True, bucket_size_mb=-1, use_fp16=False):
-        self.grad_clip = grad_clip
-        self.coalesce = coalesce
-        self.bucket_size_mb = bucket_size_mb
-        self.update_interval = update_interval
-        self.use_fp16 = use_fp16
-
-    def before_run(self, runner):
-        runner.optimizer.zero_grad()
-
-    def after_train_iter(self, runner):
-        runner.outputs['loss'] /= self.update_interval
-        if self.use_fp16:
-            with apex.amp.scale_loss(runner.outputs['loss'], runner.optimizer) as scaled_loss:
-                scaled_loss.backward()
-        else:
-            runner.outputs['loss'].backward()
-        if self.every_n_iters(runner, self.update_interval):
-            if self.grad_clip is not None:
-                self.clip_grads(runner.model.parameters())
-            runner.optimizer.step()
-            runner.optimizer.zero_grad()
diff --git a/spaces/Caoyunkang/Segment-Any-Anomaly/GroundingDINO/groundingdino/models/GroundingDINO/fuse_modules.py b/spaces/Caoyunkang/Segment-Any-Anomaly/GroundingDINO/groundingdino/models/GroundingDINO/fuse_modules.py
deleted file mode 100644
index 2753b3ddee43c7a9fe28d1824db5d786e7e1ad59..0000000000000000000000000000000000000000
--- a/spaces/Caoyunkang/Segment-Any-Anomaly/GroundingDINO/groundingdino/models/GroundingDINO/fuse_modules.py
+++ /dev/null
@@ -1,297 +0,0 @@
-# ------------------------------------------------------------------------
-# Grounding DINO
-# url: https://github.com/IDEA-Research/GroundingDINO
-# Copyright (c) 2023 IDEA. All Rights Reserved.
-# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
-# ------------------------------------------------------------------------
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-from timm.models.layers import DropPath
-
-
-class FeatureResizer(nn.Module):
-    """
-    This class takes as input a set of embeddings of dimension C1 and outputs a set of
-    embedding of dimension C2, after a linear transformation, dropout and normalization (LN).
-    """
-
-    def __init__(self, input_feat_size, output_feat_size, dropout, do_ln=True):
-        super().__init__()
-        self.do_ln = do_ln
-        # Object feature encoding
-        self.fc = nn.Linear(input_feat_size, output_feat_size, bias=True)
-        self.layer_norm = nn.LayerNorm(output_feat_size, eps=1e-12)
-        self.dropout = nn.Dropout(dropout)
-
-    def forward(self, encoder_features):
-        x = self.fc(encoder_features)
-        if self.do_ln:
-            x = self.layer_norm(x)
-        output = self.dropout(x)
-        return output
-
-
-def l1norm(X, dim, eps=1e-8):
-    """L1-normalize columns of X"""
-    norm = torch.abs(X).sum(dim=dim, keepdim=True) + eps
-    X = torch.div(X, norm)
-    return X
-
-
-def l2norm(X, dim, eps=1e-8):
-    """L2-normalize columns of X"""
-    norm = torch.pow(X, 2).sum(dim=dim, keepdim=True).sqrt() + eps
-    X = torch.div(X, norm)
-    return X
-
-
-def func_attention(query, context, smooth=1, raw_feature_norm="softmax", eps=1e-8):
-    """
-    query: (n_context, queryL, d)
-    context: (n_context, sourceL, d)
-    """
-    batch_size_q, queryL = query.size(0), query.size(1)
-    batch_size, sourceL = context.size(0), context.size(1)
-
-    # Get attention
-    # --> (batch, d, queryL)
-    queryT = torch.transpose(query, 1, 2)
-
-    # (batch, sourceL, d)(batch, d, queryL)
-    # --> (batch, sourceL, queryL)
-    attn = torch.bmm(context, queryT)
-    if raw_feature_norm == "softmax":
-        # --> (batch*sourceL, queryL)
-        attn = attn.view(batch_size * sourceL, queryL)
-        attn = nn.Softmax()(attn)
-        # --> (batch, sourceL, queryL)
-        attn = attn.view(batch_size, sourceL, queryL)
-    elif raw_feature_norm == "l2norm":
-        attn = l2norm(attn, 2)
-    elif raw_feature_norm == "clipped_l2norm":
-        attn = nn.LeakyReLU(0.1)(attn)
-        attn = l2norm(attn, 2)
-    else:
-        raise ValueError("unknown first norm type:", raw_feature_norm)
-    # --> (batch, queryL, sourceL)
-    attn = torch.transpose(attn, 1, 2).contiguous()
-    # --> (batch*queryL, sourceL)
-    attn = attn.view(batch_size * queryL, sourceL)
-    attn = nn.Softmax()(attn * smooth)
-    # --> (batch, queryL, sourceL)
-    attn = attn.view(batch_size, queryL, sourceL)
-    # --> (batch, sourceL, queryL)
-    attnT = torch.transpose(attn, 1, 2).contiguous()
-
-    # --> (batch, d, sourceL)
-    contextT = torch.transpose(context, 1, 2)
-    # (batch x d x sourceL)(batch x sourceL x queryL)
-    # --> (batch, d, queryL)
-    weightedContext = torch.bmm(contextT, attnT)
-    # --> (batch, queryL, d)
-    weightedContext = torch.transpose(weightedContext, 1, 2)
-
-    return weightedContext, attnT
-
-
-class BiMultiHeadAttention(nn.Module):
-    def __init__(self, v_dim, l_dim, embed_dim, num_heads, dropout=0.1, cfg=None):
-        super(BiMultiHeadAttention, self).__init__()
-
-        self.embed_dim = embed_dim
-        self.num_heads = num_heads
-        self.head_dim = embed_dim // num_heads
-        self.v_dim = v_dim
-        self.l_dim = l_dim
-
-        assert (
-            self.head_dim * self.num_heads == self.embed_dim
-        ), f"embed_dim must be divisible by num_heads (got `embed_dim`: {self.embed_dim} and `num_heads`: {self.num_heads})."
-        self.scale = self.head_dim ** (-0.5)
-        self.dropout = dropout
-
-        self.v_proj = nn.Linear(self.v_dim, self.embed_dim)
-        self.l_proj = nn.Linear(self.l_dim, self.embed_dim)
-        self.values_v_proj = nn.Linear(self.v_dim, self.embed_dim)
-        self.values_l_proj = nn.Linear(self.l_dim, self.embed_dim)
-
-        self.out_v_proj = nn.Linear(self.embed_dim, self.v_dim)
-        self.out_l_proj = nn.Linear(self.embed_dim, self.l_dim)
-
-        self.stable_softmax_2d = True
-        self.clamp_min_for_underflow = True
-        self.clamp_max_for_overflow = True
-
-        self._reset_parameters()
-
-    def _shape(self, tensor: torch.Tensor, seq_len: int, bsz: int):
-        return tensor.view(bsz, seq_len, self.num_heads, self.head_dim).transpose(1, 2).contiguous()
-
-    def _reset_parameters(self):
-        nn.init.xavier_uniform_(self.v_proj.weight)
-        self.v_proj.bias.data.fill_(0)
-        nn.init.xavier_uniform_(self.l_proj.weight)
-        self.l_proj.bias.data.fill_(0)
-        nn.init.xavier_uniform_(self.values_v_proj.weight)
-        self.values_v_proj.bias.data.fill_(0)
-        nn.init.xavier_uniform_(self.values_l_proj.weight)
-        self.values_l_proj.bias.data.fill_(0)
-        nn.init.xavier_uniform_(self.out_v_proj.weight)
-        self.out_v_proj.bias.data.fill_(0)
-        nn.init.xavier_uniform_(self.out_l_proj.weight)
-        self.out_l_proj.bias.data.fill_(0)
-
-    def forward(self, v, l, attention_mask_v=None, attention_mask_l=None):
-        """_summary_
-
-        Args:
-            v (_type_): bs, n_img, dim
-            l (_type_): bs, n_text, dim
-            attention_mask_v (_type_, optional): _description_. bs, n_img
-            attention_mask_l (_type_, optional): _description_. bs, n_text
-
-        Returns:
-            _type_: _description_
-        """
-        # if os.environ.get('IPDB_SHILONG_DEBUG', None) == 'INFO':
-        #     import ipdb; ipdb.set_trace()
-        bsz, tgt_len, _ = v.size()
-
-        query_states = self.v_proj(v) * self.scale
-        key_states = self._shape(self.l_proj(l), -1, bsz)
-        value_v_states = self._shape(self.values_v_proj(v), -1, bsz)
-        value_l_states = self._shape(self.values_l_proj(l), -1, bsz)
-
-        proj_shape = (bsz * self.num_heads, -1, self.head_dim)
-        query_states = self._shape(query_states, tgt_len, bsz).view(*proj_shape)
-        key_states = key_states.view(*proj_shape)
-        value_v_states = value_v_states.view(*proj_shape)
-        value_l_states = value_l_states.view(*proj_shape)
-
-        src_len = key_states.size(1)
-        attn_weights = torch.bmm(query_states, key_states.transpose(1, 2))  # bs*nhead, nimg, ntxt
-
-        if attn_weights.size() != (bsz * self.num_heads, tgt_len, src_len):
-            raise ValueError(
-                f"Attention weights should be of size {(bsz * self.num_heads, tgt_len, src_len)}, but is {attn_weights.size()}"
-            )
-
-        if self.stable_softmax_2d:
-            attn_weights = attn_weights - attn_weights.max()
-
-        if self.clamp_min_for_underflow:
-            attn_weights = torch.clamp(
-                attn_weights, min=-50000
-            )  # Do not increase -50000, data type half has quite limited range
-        if self.clamp_max_for_overflow:
-            attn_weights = torch.clamp(
-                attn_weights, max=50000
-            )  # Do not increase 50000, data type half has quite limited range
-
-        attn_weights_T = attn_weights.transpose(1, 2)
-        attn_weights_l = attn_weights_T - torch.max(attn_weights_T, dim=-1, keepdim=True)[0]
-        if self.clamp_min_for_underflow:
-            attn_weights_l = torch.clamp(
-                attn_weights_l, min=-50000
-            )  # Do not increase -50000, data type half has quite limited range
-        if self.clamp_max_for_overflow:
-            attn_weights_l = torch.clamp(
-                attn_weights_l, max=50000
-            )  # Do not increase 50000, data type half has quite limited range
-
-        # mask vison for language
-        if attention_mask_v is not None:
-            attention_mask_v = (
-                attention_mask_v[:, None, None, :].repeat(1, self.num_heads, 1, 1).flatten(0, 1)
-            )
-            attn_weights_l.masked_fill_(attention_mask_v, float("-inf"))
-
-        attn_weights_l = attn_weights_l.softmax(dim=-1)
-
-        # mask language for vision
-        if attention_mask_l is not None:
-            attention_mask_l = (
-                attention_mask_l[:, None, None, :].repeat(1, self.num_heads, 1, 1).flatten(0, 1)
-            )
-            attn_weights.masked_fill_(attention_mask_l, float("-inf"))
-        attn_weights_v = attn_weights.softmax(dim=-1)
-
-        attn_probs_v = F.dropout(attn_weights_v, p=self.dropout, training=self.training)
-        attn_probs_l = F.dropout(attn_weights_l, p=self.dropout, training=self.training)
-
-        attn_output_v = torch.bmm(attn_probs_v, value_l_states)
-        attn_output_l = torch.bmm(attn_probs_l, value_v_states)
-
-        if attn_output_v.size() != (bsz * self.num_heads, tgt_len, self.head_dim):
-            raise ValueError(
-                f"`attn_output_v` should be of size {(bsz, self.num_heads, tgt_len, self.head_dim)}, but is {attn_output_v.size()}"
-            )
-
-        if attn_output_l.size() != (bsz * self.num_heads, src_len, self.head_dim):
-            raise ValueError(
-                f"`attn_output_l` should be of size {(bsz, self.num_heads, src_len, self.head_dim)}, but is {attn_output_l.size()}"
-            )
-
-        attn_output_v = attn_output_v.view(bsz, self.num_heads, tgt_len, self.head_dim)
-        attn_output_v = attn_output_v.transpose(1, 2)
-        attn_output_v = attn_output_v.reshape(bsz, tgt_len, self.embed_dim)
-
-        attn_output_l = attn_output_l.view(bsz, self.num_heads, src_len, self.head_dim)
-        attn_output_l = attn_output_l.transpose(1, 2)
-        attn_output_l = attn_output_l.reshape(bsz, src_len, self.embed_dim)
-
-        attn_output_v = self.out_v_proj(attn_output_v)
-        attn_output_l = self.out_l_proj(attn_output_l)
-
-        return attn_output_v, attn_output_l
-
-
-# Bi-Direction MHA (text->image, image->text)
-class BiAttentionBlock(nn.Module):
-    def __init__(
-        self,
-        v_dim,
-        l_dim,
-        embed_dim,
-        num_heads,
-        dropout=0.1,
-        drop_path=0.0,
-        init_values=1e-4,
-        cfg=None,
-    ):
-        """
-        Inputs:
-            embed_dim - Dimensionality of input and attention feature vectors
-            hidden_dim - Dimensionality of hidden layer in feed-forward network
-                         (usually 2-4x larger than embed_dim)
-            num_heads - Number of heads to use in the Multi-Head Attention block
-            dropout - Amount of dropout to apply in the feed-forward network
-        """
-        super(BiAttentionBlock, self).__init__()
-
-        # pre layer norm
-        self.layer_norm_v = nn.LayerNorm(v_dim)
-        self.layer_norm_l = nn.LayerNorm(l_dim)
-        self.attn = BiMultiHeadAttention(
-            v_dim=v_dim, l_dim=l_dim, embed_dim=embed_dim, num_heads=num_heads, dropout=dropout
-        )
-
-        # add layer scale for training stability
-        self.drop_path = DropPath(drop_path) if drop_path > 0.0 else nn.Identity()
-        self.gamma_v = nn.Parameter(init_values * torch.ones((v_dim)), requires_grad=True)
-        self.gamma_l = nn.Parameter(init_values * torch.ones((l_dim)), requires_grad=True)
-
-    def forward(self, v, l, attention_mask_v=None, attention_mask_l=None):
-        v = self.layer_norm_v(v)
-        l = self.layer_norm_l(l)
-        delta_v, delta_l = self.attn(
-            v, l, attention_mask_v=attention_mask_v, attention_mask_l=attention_mask_l
-        )
-        # v, l = v + delta_v, l + delta_l
-        v = v + self.drop_path(self.gamma_v * delta_v)
-        l = l + self.drop_path(self.gamma_l * delta_l)
-        return v, l
-
-    # def forward(self, v:List[torch.Tensor], l, attention_mask_v=None, attention_mask_l=None)
diff --git a/spaces/Caoyunkang/Segment-Any-Anomaly/README.md b/spaces/Caoyunkang/Segment-Any-Anomaly/README.md
deleted file mode 100644
index 8c07ba4c84af2acdeb8ef97b707c14dc937aaa5d..0000000000000000000000000000000000000000
--- a/spaces/Caoyunkang/Segment-Any-Anomaly/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Segment Any Anomaly
-emoji: 🐨
-colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 3.32.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/CikeyQI/meme-api/meme_generator/memes/capoo_say/__init__.py b/spaces/CikeyQI/meme-api/meme_generator/memes/capoo_say/__init__.py
deleted file mode 100644
index 8cfe2c9a7a75e57197336fa1a2313c463e70e21f..0000000000000000000000000000000000000000
--- a/spaces/CikeyQI/meme-api/meme_generator/memes/capoo_say/__init__.py
+++ /dev/null
@@ -1,67 +0,0 @@
-from pathlib import Path
-from typing import List
-
-from PIL.Image import Image as IMG
-from pil_utils import BuildImage
-
-from meme_generator import add_meme
-from meme_generator.exception import TextOverLength
-from meme_generator.utils import save_gif
-
-img_dir = Path(__file__).parent / "images"
-
-
-def capoo_say_one_loop(text: str) -> List[IMG]:
-    text_frame = BuildImage.new("RGBA", (80, 80))
-    try:
-        text_frame.draw_text(
-            (0, 0, 80, 80),
-            text,
-            max_fontsize=80,
-            min_fontsize=20,
-            allow_wrap=True,
-            fontname="FZKaTong-M19S",
-            lines_align="center",
-        )
-    except ValueError:
-        raise TextOverLength(text)
-
-    params = [
-        None,
-        None,
-        None,
-        (45, 45, 74, 112, 25),
-        (73, 73, 41, 42, 17),
-        (80, 80, 43, 36, 0),
-        (80, 80, 43, 30, 0),
-        (78, 78, 44, 30, 0),
-        (78, 78, 44, 29, 0),
-        None,
-    ]
-
-    frames: List[IMG] = []
-    for i in range(10):
-        frame = BuildImage.open(img_dir / f"{i}.png")
-        param = params[i]
-        if param:
-            x, y, w, h, angle = param
-            frame.paste(
-                text_frame.resize((x, y)).rotate(angle, expand=True), (w, h), alpha=True
-            )
-        frames.append(frame.image)
-    return frames
-
-
-def capoo_say(images, texts: List[str], args):
-    frames = sum([capoo_say_one_loop(text) for text in texts], [])
-    return save_gif(frames, 0.1)
-
-
-add_meme(
-    "capoo_say",
-    capoo_say,
-    min_texts=1,
-    max_texts=10,
-    default_texts=["寄"],
-    keywords=["咖波说"],
-)
diff --git a/spaces/Clebersla/RVC_V2_Huggingface_Version/app.py b/spaces/Clebersla/RVC_V2_Huggingface_Version/app.py
deleted file mode 100644
index 0a9e1c1efa6bb283ee62ebee3e5cf11316822628..0000000000000000000000000000000000000000
--- a/spaces/Clebersla/RVC_V2_Huggingface_Version/app.py
+++ /dev/null
@@ -1,2090 +0,0 @@
-import subprocess, torch, os, traceback, sys, warnings, shutil, numpy as np
-from mega import Mega
-os.environ["no_proxy"] = "localhost, 127.0.0.1, ::1"
-import threading
-from time import sleep
-from subprocess import Popen
-import faiss
-from random import shuffle
-import json, datetime, requests
-from gtts import gTTS
-now_dir = os.getcwd()
-sys.path.append(now_dir)
-tmp = os.path.join(now_dir, "TEMP")
-shutil.rmtree(tmp, ignore_errors=True)
-shutil.rmtree("%s/runtime/Lib/site-packages/infer_pack" % (now_dir), ignore_errors=True)
-os.makedirs(tmp, exist_ok=True)
-os.makedirs(os.path.join(now_dir, "logs"), exist_ok=True)
-os.makedirs(os.path.join(now_dir, "weights"), exist_ok=True)
-os.environ["TEMP"] = tmp
-warnings.filterwarnings("ignore")
-torch.manual_seed(114514)
-from i18n import I18nAuto
-
-import signal
-
-import math
-
-from utils import load_audio, CSVutil
-
-global DoFormant, Quefrency, Timbre
-
-if not os.path.isdir('csvdb/'):
-    os.makedirs('csvdb')
-    frmnt, stp = open("csvdb/formanting.csv", 'w'), open("csvdb/stop.csv", 'w')
-    frmnt.close()
-    stp.close()
-
-try:
-    DoFormant, Quefrency, Timbre = CSVutil('csvdb/formanting.csv', 'r', 'formanting')
-    DoFormant = (
-        lambda DoFormant: True if DoFormant.lower() == 'true' else (False if DoFormant.lower() == 'false' else DoFormant)
-    )(DoFormant)
-except (ValueError, TypeError, IndexError):
-    DoFormant, Quefrency, Timbre = False, 1.0, 1.0
-    CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, Quefrency, Timbre)
-
-def download_models():
-    # Download hubert base model if not present
-    if not os.path.isfile('./hubert_base.pt'):
-        response = requests.get('https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt')
-
-        if response.status_code == 200:
-            with open('./hubert_base.pt', 'wb') as f:
-                f.write(response.content)
-            print("Downloaded hubert base model file successfully. File saved to ./hubert_base.pt.")
-        else:
-            raise Exception("Failed to download hubert base model file. Status code: " + str(response.status_code) + ".")
-        
-    # Download rmvpe model if not present
-    if not os.path.isfile('./rmvpe.pt'):
-        response = requests.get('https://drive.usercontent.google.com/download?id=1Hkn4kNuVFRCNQwyxQFRtmzmMBGpQxptI&export=download&authuser=0&confirm=t&uuid=0b3a40de-465b-4c65-8c41-135b0b45c3f7&at=APZUnTV3lA3LnyTbeuduura6Dmi2:1693724254058')
-
-        if response.status_code == 200:
-            with open('./rmvpe.pt', 'wb') as f:
-                f.write(response.content)
-            print("Downloaded rmvpe model file successfully. File saved to ./rmvpe.pt.")
-        else:
-            raise Exception("Failed to download rmvpe model file. Status code: " + str(response.status_code) + ".")
-
-download_models()
-
-print("\n-------------------------------\nRVC v2 Easy GUI (Local Edition)\n-------------------------------\n")
-
-def formant_apply(qfrency, tmbre):
-    Quefrency = qfrency
-    Timbre = tmbre
-    DoFormant = True
-    CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, qfrency, tmbre)
-    
-    return ({"value": Quefrency, "__type__": "update"}, {"value": Timbre, "__type__": "update"})
-
-def get_fshift_presets():
-    fshift_presets_list = []
-    for dirpath, _, filenames in os.walk("./formantshiftcfg/"):
-        for filename in filenames:
-            if filename.endswith(".txt"):
-                fshift_presets_list.append(os.path.join(dirpath,filename).replace('\\','/'))
-                
-    if len(fshift_presets_list) > 0:
-        return fshift_presets_list
-    else:
-        return ''
-
-
-
-def formant_enabled(cbox, qfrency, tmbre, frmntapply, formantpreset, formant_refresh_button):
-    
-    if (cbox):
-
-        DoFormant = True
-        CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, qfrency, tmbre)
-        #print(f"is checked? - {cbox}\ngot {DoFormant}")
-        
-        return (
-            {"value": True, "__type__": "update"},
-            {"visible": True, "__type__": "update"},
-            {"visible": True, "__type__": "update"},
-            {"visible": True, "__type__": "update"},
-            {"visible": True, "__type__": "update"},
-            {"visible": True, "__type__": "update"},
-        )
-        
-        
-    else:
-        
-        DoFormant = False
-        CSVutil('csvdb/formanting.csv', 'w+', 'formanting', DoFormant, qfrency, tmbre)
-        
-        #print(f"is checked? - {cbox}\ngot {DoFormant}")
-        return (
-            {"value": False, "__type__": "update"},
-            {"visible": False, "__type__": "update"},
-            {"visible": False, "__type__": "update"},
-            {"visible": False, "__type__": "update"},
-            {"visible": False, "__type__": "update"},
-            {"visible": False, "__type__": "update"},
-            {"visible": False, "__type__": "update"},
-        )
-        
-
-
-def preset_apply(preset, qfer, tmbr):
-    if str(preset) != '':
-        with open(str(preset), 'r') as p:
-            content = p.readlines()
-            qfer, tmbr = content[0].split('\n')[0], content[1]
-            
-            formant_apply(qfer, tmbr)
-    else:
-        pass
-    return ({"value": qfer, "__type__": "update"}, {"value": tmbr, "__type__": "update"})
-
-def update_fshift_presets(preset, qfrency, tmbre):
-    
-    qfrency, tmbre = preset_apply(preset, qfrency, tmbre)
-    
-    if (str(preset) != ''):
-        with open(str(preset), 'r') as p:
-            content = p.readlines()
-            qfrency, tmbre = content[0].split('\n')[0], content[1]
-            
-            formant_apply(qfrency, tmbre)
-    else:
-        pass
-    return (
-        {"choices": get_fshift_presets(), "__type__": "update"},
-        {"value": qfrency, "__type__": "update"},
-        {"value": tmbre, "__type__": "update"},
-    )
-
-i18n = I18nAuto()
-#i18n.print()
-# 判断是否有能用来训练和加速推理的N卡
-ngpu = torch.cuda.device_count()
-gpu_infos = []
-mem = []
-if (not torch.cuda.is_available()) or ngpu == 0:
-    if_gpu_ok = False
-else:
-    if_gpu_ok = False
-    for i in range(ngpu):
-        gpu_name = torch.cuda.get_device_name(i)
-        if (
-            "10" in gpu_name
-            or "16" in gpu_name
-            or "20" in gpu_name
-            or "30" in gpu_name
-            or "40" in gpu_name
-            or "A2" in gpu_name.upper()
-            or "A3" in gpu_name.upper()
-            or "A4" in gpu_name.upper()
-            or "P4" in gpu_name.upper()
-            or "A50" in gpu_name.upper()
-            or "A60" in gpu_name.upper()
-            or "70" in gpu_name
-            or "80" in gpu_name
-            or "90" in gpu_name
-            or "M4" in gpu_name.upper()
-            or "T4" in gpu_name.upper()
-            or "TITAN" in gpu_name.upper()
-        ):  # A10#A100#V100#A40#P40#M40#K80#A4500
-            if_gpu_ok = True  # 至少有一张能用的N卡
-            gpu_infos.append("%s\t%s" % (i, gpu_name))
-            mem.append(
-                int(
-                    torch.cuda.get_device_properties(i).total_memory
-                    / 1024
-                    / 1024
-                    / 1024
-                    + 0.4
-                )
-            )
-if if_gpu_ok == True and len(gpu_infos) > 0:
-    gpu_info = "\n".join(gpu_infos)
-    default_batch_size = min(mem) // 2
-else:
-    gpu_info = i18n("很遗憾您这没有能用的显卡来支持您训练")
-    default_batch_size = 1
-gpus = "-".join([i[0] for i in gpu_infos])
-from lib.infer_pack.models import (
-    SynthesizerTrnMs256NSFsid,
-    SynthesizerTrnMs256NSFsid_nono,
-    SynthesizerTrnMs768NSFsid,
-    SynthesizerTrnMs768NSFsid_nono,
-)
-import soundfile as sf
-from fairseq import checkpoint_utils
-import gradio as gr
-import logging
-from vc_infer_pipeline import VC
-from config import Config
-
-config = Config()
-# from trainset_preprocess_pipeline import PreProcess
-logging.getLogger("numba").setLevel(logging.WARNING)
-
-hubert_model = None
-
-def load_hubert():
-    global hubert_model
-    models, _, _ = checkpoint_utils.load_model_ensemble_and_task(
-        ["hubert_base.pt"],
-        suffix="",
-    )
-    hubert_model = models[0]
-    hubert_model = hubert_model.to(config.device)
-    if config.is_half:
-        hubert_model = hubert_model.half()
-    else:
-        hubert_model = hubert_model.float()
-    hubert_model.eval()
-
-
-weight_root = "weights"
-index_root = "logs"
-names = []
-for name in os.listdir(weight_root):
-    if name.endswith(".pth"):
-        names.append(name)
-index_paths = []
-for root, dirs, files in os.walk(index_root, topdown=False):
-    for name in files:
-        if name.endswith(".index") and "trained" not in name:
-            index_paths.append("%s/%s" % (root, name))
-
-
-
-def vc_single(
-    sid,
-    input_audio_path,
-    f0_up_key,
-    f0_file,
-    f0_method,
-    file_index,
-    #file_index2,
-    # file_big_npy,
-    index_rate,
-    filter_radius,
-    resample_sr,
-    rms_mix_rate,
-    protect,
-    crepe_hop_length,
-):  # spk_item, input_audio0, vc_transform0,f0_file,f0method0
-    global tgt_sr, net_g, vc, hubert_model, version
-    if input_audio_path is None:
-        return "You need to upload an audio", None
-    f0_up_key = int(f0_up_key)
-    try:
-        audio = load_audio(input_audio_path, 16000, DoFormant, Quefrency, Timbre)
-        audio_max = np.abs(audio).max() / 0.95
-        if audio_max > 1:
-            audio /= audio_max
-        times = [0, 0, 0]
-        if hubert_model == None:
-            load_hubert()
-        if_f0 = cpt.get("f0", 1)
-        file_index = (
-            (
-                file_index.strip(" ")
-                .strip('"')
-                .strip("\n")
-                .strip('"')
-                .strip(" ")
-                .replace("trained", "added")
-            )
-        )  # 防止小白写错，自动帮他替换掉
-        # file_big_npy = (
-        #     file_big_npy.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
-        # )
-        audio_opt = vc.pipeline(
-            hubert_model,
-            net_g,
-            sid,
-            audio,
-            input_audio_path,
-            times,
-            f0_up_key,
-            f0_method,
-            file_index,
-            # file_big_npy,
-            index_rate,
-            if_f0,
-            filter_radius,
-            tgt_sr,
-            resample_sr,
-            rms_mix_rate,
-            version,
-            protect,
-            crepe_hop_length,
-            f0_file=f0_file,
-        )
-        if resample_sr >= 16000 and tgt_sr != resample_sr:
-            tgt_sr = resample_sr
-        index_info = (
-            "Using index:%s." % file_index
-            if os.path.exists(file_index)
-            else "Index not used."
-        )
-        return "Success.\n %s\nTime:\n npy:%ss, f0:%ss, infer:%ss" % (
-            index_info,
-            times[0],
-            times[1],
-            times[2],
-        ), (tgt_sr, audio_opt)
-    except:
-        info = traceback.format_exc()
-        print(info)
-        return info, (None, None)
-
-
-def vc_multi(
-    sid,
-    dir_path,
-    opt_root,
-    paths,
-    f0_up_key,
-    f0_method,
-    file_index,
-    file_index2,
-    # file_big_npy,
-    index_rate,
-    filter_radius,
-    resample_sr,
-    rms_mix_rate,
-    protect,
-    format1,
-    crepe_hop_length,
-):
-    try:
-        dir_path = (
-            dir_path.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
-        )  # 防止小白拷路径头尾带了空格和"和回车
-        opt_root = opt_root.strip(" ").strip('"').strip("\n").strip('"').strip(" ")
-        os.makedirs(opt_root, exist_ok=True)
-        try:
-            if dir_path != "":
-                paths = [os.path.join(dir_path, name) for name in os.listdir(dir_path)]
-            else:
-                paths = [path.name for path in paths]
-        except:
-            traceback.print_exc()
-            paths = [path.name for path in paths]
-        infos = []
-        for path in paths:
-            info, opt = vc_single(
-                sid,
-                path,
-                f0_up_key,
-                None,
-                f0_method,
-                file_index,
-                # file_big_npy,
-                index_rate,
-                filter_radius,
-                resample_sr,
-                rms_mix_rate,
-                protect,
-                crepe_hop_length
-            )
-            if "Success" in info:
-                try:
-                    tgt_sr, audio_opt = opt
-                    if format1 in ["wav", "flac"]:
-                        sf.write(
-                            "%s/%s.%s" % (opt_root, os.path.basename(path), format1),
-                            audio_opt,
-                            tgt_sr,
-                        )
-                    else:
-                        path = "%s/%s.wav" % (opt_root, os.path.basename(path))
-                        sf.write(
-                            path,
-                            audio_opt,
-                            tgt_sr,
-                        )
-                        if os.path.exists(path):
-                            os.system(
-                                "ffmpeg -i %s -vn %s -q:a 2 -y"
-                                % (path, path[:-4] + ".%s" % format1)
-                            )
-                except:
-                    info += traceback.format_exc()
-            infos.append("%s->%s" % (os.path.basename(path), info))
-            yield "\n".join(infos)
-        yield "\n".join(infos)
-    except:
-        yield traceback.format_exc()
-
-# 一个选项卡全局只能有一个音色
-def get_vc(sid):
-    global n_spk, tgt_sr, net_g, vc, cpt, version
-    if sid == "" or sid == []:
-        global hubert_model
-        if hubert_model != None:  # 考虑到轮询, 需要加个判断看是否 sid 是由有模型切换到无模型的
-            print("clean_empty_cache")
-            del net_g, n_spk, vc, hubert_model, tgt_sr  # ,cpt
-            hubert_model = net_g = n_spk = vc = hubert_model = tgt_sr = None
-            if torch.cuda.is_available():
-                torch.cuda.empty_cache()
-            ###楼下不这么折腾清理不干净
-            if_f0 = cpt.get("f0", 1)
-            version = cpt.get("version", "v1")
-            if version == "v1":
-                if if_f0 == 1:
-                    net_g = SynthesizerTrnMs256NSFsid(
-                        *cpt["config"], is_half=config.is_half
-                    )
-                else:
-                    net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
-            elif version == "v2":
-                if if_f0 == 1:
-                    net_g = SynthesizerTrnMs768NSFsid(
-                        *cpt["config"], is_half=config.is_half
-                    )
-                else:
-                    net_g = SynthesizerTrnMs768NSFsid_nono(*cpt["config"])
-            del net_g, cpt
-            if torch.cuda.is_available():
-                torch.cuda.empty_cache()
-            cpt = None
-        return {"visible": False, "__type__": "update"}
-    person = "%s/%s" % (weight_root, sid)
-    print("loading %s" % person)
-    cpt = torch.load(person, map_location="cpu")
-    tgt_sr = cpt["config"][-1]
-    cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
-    if_f0 = cpt.get("f0", 1)
-    version = cpt.get("version", "v1")
-    if version == "v1":
-        if if_f0 == 1:
-            net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=config.is_half)
-        else:
-            net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
-    elif version == "v2":
-        if if_f0 == 1:
-            net_g = SynthesizerTrnMs768NSFsid(*cpt["config"], is_half=config.is_half)
-        else:
-            net_g = SynthesizerTrnMs768NSFsid_nono(*cpt["config"])
-    del net_g.enc_q
-    print(net_g.load_state_dict(cpt["weight"], strict=False))
-    net_g.eval().to(config.device)
-    if config.is_half:
-        net_g = net_g.half()
-    else:
-        net_g = net_g.float()
-    vc = VC(tgt_sr, config)
-    n_spk = cpt["config"][-3]
-    return {"visible": False, "maximum": n_spk, "__type__": "update"}
-
-
-def change_choices():
-    names = []
-    for name in os.listdir(weight_root):
-        if name.endswith(".pth"):
-            names.append(name)
-    index_paths = []
-    for root, dirs, files in os.walk(index_root, topdown=False):
-        for name in files:
-            if name.endswith(".index") and "trained" not in name:
-                index_paths.append("%s/%s" % (root, name))
-    return {"choices": sorted(names), "__type__": "update"}, {
-        "choices": sorted(index_paths),
-        "__type__": "update",
-    }
-
-
-def clean():
-    return {"value": "", "__type__": "update"}
-
-
-sr_dict = {
-    "32k": 32000,
-    "40k": 40000,
-    "48k": 48000,
-}
-
-
-def if_done(done, p):
-    while 1:
-        if p.poll() == None:
-            sleep(0.5)
-        else:
-            break
-    done[0] = True
-
-
-def if_done_multi(done, ps):
-    while 1:
-        # poll==None代表进程未结束
-        # 只要有一个进程未结束都不停
-        flag = 1
-        for p in ps:
-            if p.poll() == None:
-                flag = 0
-                sleep(0.5)
-                break
-        if flag == 1:
-            break
-    done[0] = True
-
-
-def preprocess_dataset(trainset_dir, exp_dir, sr, n_p):
-    sr = sr_dict[sr]
-    os.makedirs("%s/logs/%s" % (now_dir, exp_dir), exist_ok=True)
-    f = open("%s/logs/%s/preprocess.log" % (now_dir, exp_dir), "w")
-    f.close()
-    cmd = (
-        config.python_cmd
-        + " trainset_preprocess_pipeline_print.py %s %s %s %s/logs/%s "
-        % (trainset_dir, sr, n_p, now_dir, exp_dir)
-        + str(config.noparallel)
-    )
-    print(cmd)
-    p = Popen(cmd, shell=True)  # , stdin=PIPE, stdout=PIPE,stderr=PIPE,cwd=now_dir
-    ###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
-    done = [False]
-    threading.Thread(
-        target=if_done,
-        args=(
-            done,
-            p,
-        ),
-    ).start()
-    while 1:
-        with open("%s/logs/%s/preprocess.log" % (now_dir, exp_dir), "r") as f:
-            yield (f.read())
-        sleep(1)
-        if done[0] == True:
-            break
-    with open("%s/logs/%s/preprocess.log" % (now_dir, exp_dir), "r") as f:
-        log = f.read()
-    print(log)
-    yield log
-
-# but2.click(extract_f0,[gpus6,np7,f0method8,if_f0_3,trainset_dir4],[info2])
-def extract_f0_feature(gpus, n_p, f0method, if_f0, exp_dir, version19, echl):
-    gpus = gpus.split("-")
-    os.makedirs("%s/logs/%s" % (now_dir, exp_dir), exist_ok=True)
-    f = open("%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "w")
-    f.close()
-    if if_f0:
-        cmd = config.python_cmd + " extract_f0_print.py %s/logs/%s %s %s %s" % (
-            now_dir,
-            exp_dir,
-            n_p,
-            f0method,
-            echl,
-        )
-        print(cmd)
-        p = Popen(cmd, shell=True, cwd=now_dir)  # , stdin=PIPE, stdout=PIPE,stderr=PIPE
-        ###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
-        done = [False]
-        threading.Thread(
-            target=if_done,
-            args=(
-                done,
-                p,
-            ),
-        ).start()
-        while 1:
-            with open(
-                "%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r"
-            ) as f:
-                yield (f.read())
-            sleep(1)
-            if done[0] == True:
-                break
-        with open("%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r") as f:
-            log = f.read()
-        print(log)
-        yield log
-    ####对不同part分别开多进程
-    """
-    n_part=int(sys.argv[1])
-    i_part=int(sys.argv[2])
-    i_gpu=sys.argv[3]
-    exp_dir=sys.argv[4]
-    os.environ["CUDA_VISIBLE_DEVICES"]=str(i_gpu)
-    """
-    leng = len(gpus)
-    ps = []
-    for idx, n_g in enumerate(gpus):
-        cmd = (
-            config.python_cmd
-            + " extract_feature_print.py %s %s %s %s %s/logs/%s %s"
-            % (
-                config.device,
-                leng,
-                idx,
-                n_g,
-                now_dir,
-                exp_dir,
-                version19,
-            )
-        )
-        print(cmd)
-        p = Popen(
-            cmd, shell=True, cwd=now_dir
-        )  # , shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, cwd=now_dir
-        ps.append(p)
-    ###煞笔gr, popen read都非得全跑完了再一次性读取, 不用gr就正常读一句输出一句;只能额外弄出一个文本流定时读
-    done = [False]
-    threading.Thread(
-        target=if_done_multi,
-        args=(
-            done,
-            ps,
-        ),
-    ).start()
-    while 1:
-        with open("%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r") as f:
-            yield (f.read())
-        sleep(1)
-        if done[0] == True:
-            break
-    with open("%s/logs/%s/extract_f0_feature.log" % (now_dir, exp_dir), "r") as f:
-        log = f.read()
-    print(log)
-    yield log
-
-
-def change_sr2(sr2, if_f0_3, version19):
-    path_str = "" if version19 == "v1" else "_v2"
-    f0_str = "f0" if if_f0_3 else ""
-    if_pretrained_generator_exist = os.access("pretrained%s/%sG%s.pth" % (path_str, f0_str, sr2), os.F_OK)
-    if_pretrained_discriminator_exist = os.access("pretrained%s/%sD%s.pth" % (path_str, f0_str, sr2), os.F_OK)
-    if (if_pretrained_generator_exist == False):
-        print("pretrained%s/%sG%s.pth" % (path_str, f0_str, sr2), "not exist, will not use pretrained model")
-    if (if_pretrained_discriminator_exist == False):
-        print("pretrained%s/%sD%s.pth" % (path_str, f0_str, sr2), "not exist, will not use pretrained model")
-    return (
-        ("pretrained%s/%sG%s.pth" % (path_str, f0_str, sr2)) if if_pretrained_generator_exist else "",
-        ("pretrained%s/%sD%s.pth" % (path_str, f0_str, sr2)) if if_pretrained_discriminator_exist else "",
-        {"visible": True, "__type__": "update"}
-    )
-
-def change_version19(sr2, if_f0_3, version19):
-    path_str = "" if version19 == "v1" else "_v2"
-    f0_str = "f0" if if_f0_3 else ""
-    if_pretrained_generator_exist = os.access("pretrained%s/%sG%s.pth" % (path_str, f0_str, sr2), os.F_OK)
-    if_pretrained_discriminator_exist = os.access("pretrained%s/%sD%s.pth" % (path_str, f0_str, sr2), os.F_OK)
-    if (if_pretrained_generator_exist == False):
-        print("pretrained%s/%sG%s.pth" % (path_str, f0_str, sr2), "not exist, will not use pretrained model")
-    if (if_pretrained_discriminator_exist == False):
-        print("pretrained%s/%sD%s.pth" % (path_str, f0_str, sr2), "not exist, will not use pretrained model")
-    return (
-        ("pretrained%s/%sG%s.pth" % (path_str, f0_str, sr2)) if if_pretrained_generator_exist else "",
-        ("pretrained%s/%sD%s.pth" % (path_str, f0_str, sr2)) if if_pretrained_discriminator_exist else "",
-    )
-
-
-def change_f0(if_f0_3, sr2, version19):  # f0method8,pretrained_G14,pretrained_D15
-    path_str = "" if version19 == "v1" else "_v2"
-    if_pretrained_generator_exist = os.access("pretrained%s/f0G%s.pth" % (path_str, sr2), os.F_OK)
-    if_pretrained_discriminator_exist = os.access("pretrained%s/f0D%s.pth" % (path_str, sr2), os.F_OK)
-    if (if_pretrained_generator_exist == False):
-        print("pretrained%s/f0G%s.pth" % (path_str, sr2), "not exist, will not use pretrained model")
-    if (if_pretrained_discriminator_exist == False):
-        print("pretrained%s/f0D%s.pth" % (path_str, sr2), "not exist, will not use pretrained model")
-    if if_f0_3:
-        return (
-            {"visible": True, "__type__": "update"},
-            "pretrained%s/f0G%s.pth" % (path_str, sr2) if if_pretrained_generator_exist else "",
-            "pretrained%s/f0D%s.pth" % (path_str, sr2) if if_pretrained_discriminator_exist else "",
-        )
-    return (
-        {"visible": False, "__type__": "update"},
-        ("pretrained%s/G%s.pth" % (path_str, sr2)) if if_pretrained_generator_exist else "",
-        ("pretrained%s/D%s.pth" % (path_str, sr2)) if if_pretrained_discriminator_exist else "",
-    )
-
-
-global log_interval
-
-
-def set_log_interval(exp_dir, batch_size12):
-    log_interval = 1
-
-    folder_path = os.path.join(exp_dir, "1_16k_wavs")
-
-    if os.path.exists(folder_path) and os.path.isdir(folder_path):
-        wav_files = [f for f in os.listdir(folder_path) if f.endswith(".wav")]
-        if wav_files:
-            sample_size = len(wav_files)
-            log_interval = math.ceil(sample_size / batch_size12)
-            if log_interval > 1:
-                log_interval += 1
-    return log_interval
-
-# but3.click(click_train,[exp_dir1,sr2,if_f0_3,save_epoch10,total_epoch11,batch_size12,if_save_latest13,pretrained_G14,pretrained_D15,gpus16])
-def click_train(
-    exp_dir1,
-    sr2,
-    if_f0_3,
-    spk_id5,
-    save_epoch10,
-    total_epoch11,
-    batch_size12,
-    if_save_latest13,
-    pretrained_G14,
-    pretrained_D15,
-    gpus16,
-    if_cache_gpu17,
-    if_save_every_weights18,
-    version19,
-):
-    CSVutil('csvdb/stop.csv', 'w+', 'formanting', False)
-    # 生成filelist
-    exp_dir = "%s/logs/%s" % (now_dir, exp_dir1)
-    os.makedirs(exp_dir, exist_ok=True)
-    gt_wavs_dir = "%s/0_gt_wavs" % (exp_dir)
-    feature_dir = (
-        "%s/3_feature256" % (exp_dir)
-        if version19 == "v1"
-        else "%s/3_feature768" % (exp_dir)
-    )
-    
-    log_interval = set_log_interval(exp_dir, batch_size12)
-    
-    if if_f0_3:
-        f0_dir = "%s/2a_f0" % (exp_dir)
-        f0nsf_dir = "%s/2b-f0nsf" % (exp_dir)
-        names = (
-            set([name.split(".")[0] for name in os.listdir(gt_wavs_dir)])
-            & set([name.split(".")[0] for name in os.listdir(feature_dir)])
-            & set([name.split(".")[0] for name in os.listdir(f0_dir)])
-            & set([name.split(".")[0] for name in os.listdir(f0nsf_dir)])
-        )
-    else:
-        names = set([name.split(".")[0] for name in os.listdir(gt_wavs_dir)]) & set(
-            [name.split(".")[0] for name in os.listdir(feature_dir)]
-        )
-    opt = []
-    for name in names:
-        if if_f0_3:
-            opt.append(
-                "%s/%s.wav|%s/%s.npy|%s/%s.wav.npy|%s/%s.wav.npy|%s"
-                % (
-                    gt_wavs_dir.replace("\\", "\\\\"),
-                    name,
-                    feature_dir.replace("\\", "\\\\"),
-                    name,
-                    f0_dir.replace("\\", "\\\\"),
-                    name,
-                    f0nsf_dir.replace("\\", "\\\\"),
-                    name,
-                    spk_id5,
-                )
-            )
-        else:
-            opt.append(
-                "%s/%s.wav|%s/%s.npy|%s"
-                % (
-                    gt_wavs_dir.replace("\\", "\\\\"),
-                    name,
-                    feature_dir.replace("\\", "\\\\"),
-                    name,
-                    spk_id5,
-                )
-            )
-    fea_dim = 256 if version19 == "v1" else 768
-    if if_f0_3:
-        for _ in range(2):
-            opt.append(
-                "%s/logs/mute/0_gt_wavs/mute%s.wav|%s/logs/mute/3_feature%s/mute.npy|%s/logs/mute/2a_f0/mute.wav.npy|%s/logs/mute/2b-f0nsf/mute.wav.npy|%s"
-                % (now_dir, sr2, now_dir, fea_dim, now_dir, now_dir, spk_id5)
-            )
-    else:
-        for _ in range(2):
-            opt.append(
-                "%s/logs/mute/0_gt_wavs/mute%s.wav|%s/logs/mute/3_feature%s/mute.npy|%s"
-                % (now_dir, sr2, now_dir, fea_dim, spk_id5)
-            )
-    shuffle(opt)
-    with open("%s/filelist.txt" % exp_dir, "w") as f:
-        f.write("\n".join(opt))
-    print("write filelist done")
-    # 生成config#无需生成config
-    # cmd = python_cmd + " train_nsf_sim_cache_sid_load_pretrain.py -e mi-test -sr 40k -f0 1 -bs 4 -g 0 -te 10 -se 5 -pg pretrained/f0G40k.pth -pd pretrained/f0D40k.pth -l 1 -c 0"
-    print("use gpus:", gpus16)
-    if pretrained_G14 == "":
-        print("no pretrained Generator")
-    if pretrained_D15 == "":
-        print("no pretrained Discriminator")
-    if gpus16:
-        cmd = (
-            config.python_cmd
-            + " train_nsf_sim_cache_sid_load_pretrain.py -e %s -sr %s -f0 %s -bs %s -g %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s -li %s"
-            % (
-                exp_dir1,
-                sr2,
-                1 if if_f0_3 else 0,
-                batch_size12,
-                gpus16,
-                total_epoch11,
-                save_epoch10,
-                ("-pg %s" % pretrained_G14) if pretrained_G14 != "" else "",
-                ("-pd %s" % pretrained_D15) if pretrained_D15 != "" else "",
-                1 if if_save_latest13 == True else 0,
-                1 if if_cache_gpu17 == True else 0,
-                1 if if_save_every_weights18 == True else 0,
-                version19,
-                log_interval,
-            )
-        )
-    else:
-        cmd = (
-            config.python_cmd
-            + " train_nsf_sim_cache_sid_load_pretrain.py -e %s -sr %s -f0 %s -bs %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s -li %s"
-            % (
-                exp_dir1,
-                sr2,
-                1 if if_f0_3 else 0,
-                batch_size12,
-                total_epoch11,
-                save_epoch10,
-                ("-pg %s" % pretrained_G14) if pretrained_G14 != "" else "\b",
-                ("-pd %s" % pretrained_D15) if pretrained_D15 != "" else "\b",
-                1 if if_save_latest13 == True else 0,
-                1 if if_cache_gpu17 == True else 0,
-                1 if if_save_every_weights18 == True else 0,
-                version19,
-                log_interval,
-            )
-        )
-    print(cmd)
-    p = Popen(cmd, shell=True, cwd=now_dir)
-    global PID
-    PID = p.pid
-    p.wait()
-    return ("训练结束, 您可查看控制台训练日志或实验文件夹下的train.log", {"visible": False, "__type__": "update"}, {"visible": True, "__type__": "update"})
-
-
-# but4.click(train_index, [exp_dir1], info3)
-def train_index(exp_dir1, version19):
-    exp_dir = "%s/logs/%s" % (now_dir, exp_dir1)
-    os.makedirs(exp_dir, exist_ok=True)
-    feature_dir = (
-        "%s/3_feature256" % (exp_dir)
-        if version19 == "v1"
-        else "%s/3_feature768" % (exp_dir)
-    )
-    if os.path.exists(feature_dir) == False:
-        return "请先进行特征提取!"
-    listdir_res = list(os.listdir(feature_dir))
-    if len(listdir_res) == 0:
-        return "请先进行特征提取！"
-    npys = []
-    for name in sorted(listdir_res):
-        phone = np.load("%s/%s" % (feature_dir, name))
-        npys.append(phone)
-    big_npy = np.concatenate(npys, 0)
-    big_npy_idx = np.arange(big_npy.shape[0])
-    np.random.shuffle(big_npy_idx)
-    big_npy = big_npy[big_npy_idx]
-    np.save("%s/total_fea.npy" % exp_dir, big_npy)
-    # n_ivf =  big_npy.shape[0] // 39
-    n_ivf = min(int(16 * np.sqrt(big_npy.shape[0])), big_npy.shape[0] // 39)
-    infos = []
-    infos.append("%s,%s" % (big_npy.shape, n_ivf))
-    yield "\n".join(infos)
-    index = faiss.index_factory(256 if version19 == "v1" else 768, "IVF%s,Flat" % n_ivf)
-    # index = faiss.index_factory(256if version19=="v1"else 768, "IVF%s,PQ128x4fs,RFlat"%n_ivf)
-    infos.append("training")
-    yield "\n".join(infos)
-    index_ivf = faiss.extract_index_ivf(index)  #
-    index_ivf.nprobe = 1
-    index.train(big_npy)
-    faiss.write_index(
-        index,
-        "%s/trained_IVF%s_Flat_nprobe_%s_%s_%s.index"
-        % (exp_dir, n_ivf, index_ivf.nprobe, exp_dir1, version19),
-    )
-    # faiss.write_index(index, '%s/trained_IVF%s_Flat_FastScan_%s.index'%(exp_dir,n_ivf,version19))
-    infos.append("adding")
-    yield "\n".join(infos)
-    batch_size_add = 8192
-    for i in range(0, big_npy.shape[0], batch_size_add):
-        index.add(big_npy[i : i + batch_size_add])
-    faiss.write_index(
-        index,
-        "%s/added_IVF%s_Flat_nprobe_%s_%s_%s.index"
-        % (exp_dir, n_ivf, index_ivf.nprobe, exp_dir1, version19),
-    )
-    infos.append(
-        "成功构建索引，added_IVF%s_Flat_nprobe_%s_%s_%s.index"
-        % (n_ivf, index_ivf.nprobe, exp_dir1, version19)
-    )
-    # faiss.write_index(index, '%s/added_IVF%s_Flat_FastScan_%s.index'%(exp_dir,n_ivf,version19))
-    # infos.append("成功构建索引，added_IVF%s_Flat_FastScan_%s.index"%(n_ivf,version19))
-    yield "\n".join(infos)
-
-
-# but5.click(train1key, [exp_dir1, sr2, if_f0_3, trainset_dir4, spk_id5, gpus6, np7, f0method8, save_epoch10, total_epoch11, batch_size12, if_save_latest13, pretrained_G14, pretrained_D15, gpus16, if_cache_gpu17], info3)
-def train1key(
-    exp_dir1,
-    sr2,
-    if_f0_3,
-    trainset_dir4,
-    spk_id5,
-    np7,
-    f0method8,
-    save_epoch10,
-    total_epoch11,
-    batch_size12,
-    if_save_latest13,
-    pretrained_G14,
-    pretrained_D15,
-    gpus16,
-    if_cache_gpu17,
-    if_save_every_weights18,
-    version19,
-    echl
-):
-    infos = []
-
-    def get_info_str(strr):
-        infos.append(strr)
-        return "\n".join(infos)
-
-    model_log_dir = "%s/logs/%s" % (now_dir, exp_dir1)
-    preprocess_log_path = "%s/preprocess.log" % model_log_dir
-    extract_f0_feature_log_path = "%s/extract_f0_feature.log" % model_log_dir
-    gt_wavs_dir = "%s/0_gt_wavs" % model_log_dir
-    feature_dir = (
-        "%s/3_feature256" % model_log_dir
-        if version19 == "v1"
-        else "%s/3_feature768" % model_log_dir
-    )
-
-    os.makedirs(model_log_dir, exist_ok=True)
-    #########step1:处理数据
-    open(preprocess_log_path, "w").close()
-    cmd = (
-        config.python_cmd
-        + " trainset_preprocess_pipeline_print.py %s %s %s %s "
-        % (trainset_dir4, sr_dict[sr2], np7, model_log_dir)
-        + str(config.noparallel)
-    )
-    yield get_info_str(i18n("step1:正在处理数据"))
-    yield get_info_str(cmd)
-    p = Popen(cmd, shell=True)
-    p.wait()
-    with open(preprocess_log_path, "r") as f:
-        print(f.read())
-    #########step2a:提取音高
-    open(extract_f0_feature_log_path, "w")
-    if if_f0_3:
-        yield get_info_str("step2a:正在提取音高")
-        cmd = config.python_cmd + " extract_f0_print.py %s %s %s %s" % (
-            model_log_dir,
-            np7,
-            f0method8,
-            echl
-        )
-        yield get_info_str(cmd)
-        p = Popen(cmd, shell=True, cwd=now_dir)
-        p.wait()
-        with open(extract_f0_feature_log_path, "r") as f:
-            print(f.read())
-    else:
-        yield get_info_str(i18n("step2a:无需提取音高"))
-    #######step2b:提取特征
-    yield get_info_str(i18n("step2b:正在提取特征"))
-    gpus = gpus16.split("-")
-    leng = len(gpus)
-    ps = []
-    for idx, n_g in enumerate(gpus):
-        cmd = config.python_cmd + " extract_feature_print.py %s %s %s %s %s %s" % (
-            config.device,
-            leng,
-            idx,
-            n_g,
-            model_log_dir,
-            version19,
-        )
-        yield get_info_str(cmd)
-        p = Popen(
-            cmd, shell=True, cwd=now_dir
-        )  # , shell=True, stdin=PIPE, stdout=PIPE, stderr=PIPE, cwd=now_dir
-        ps.append(p)
-    for p in ps:
-        p.wait()
-    with open(extract_f0_feature_log_path, "r") as f:
-        print(f.read())
-    #######step3a:训练模型
-    yield get_info_str(i18n("step3a:正在训练模型"))
-    # 生成filelist
-    if if_f0_3:
-        f0_dir = "%s/2a_f0" % model_log_dir
-        f0nsf_dir = "%s/2b-f0nsf" % model_log_dir
-        names = (
-            set([name.split(".")[0] for name in os.listdir(gt_wavs_dir)])
-            & set([name.split(".")[0] for name in os.listdir(feature_dir)])
-            & set([name.split(".")[0] for name in os.listdir(f0_dir)])
-            & set([name.split(".")[0] for name in os.listdir(f0nsf_dir)])
-        )
-    else:
-        names = set([name.split(".")[0] for name in os.listdir(gt_wavs_dir)]) & set(
-            [name.split(".")[0] for name in os.listdir(feature_dir)]
-        )
-    opt = []
-    for name in names:
-        if if_f0_3:
-            opt.append(
-                "%s/%s.wav|%s/%s.npy|%s/%s.wav.npy|%s/%s.wav.npy|%s"
-                % (
-                    gt_wavs_dir.replace("\\", "\\\\"),
-                    name,
-                    feature_dir.replace("\\", "\\\\"),
-                    name,
-                    f0_dir.replace("\\", "\\\\"),
-                    name,
-                    f0nsf_dir.replace("\\", "\\\\"),
-                    name,
-                    spk_id5,
-                )
-            )
-        else:
-            opt.append(
-                "%s/%s.wav|%s/%s.npy|%s"
-                % (
-                    gt_wavs_dir.replace("\\", "\\\\"),
-                    name,
-                    feature_dir.replace("\\", "\\\\"),
-                    name,
-                    spk_id5,
-                )
-            )
-    fea_dim = 256 if version19 == "v1" else 768
-    if if_f0_3:
-        for _ in range(2):
-            opt.append(
-                "%s/logs/mute/0_gt_wavs/mute%s.wav|%s/logs/mute/3_feature%s/mute.npy|%s/logs/mute/2a_f0/mute.wav.npy|%s/logs/mute/2b-f0nsf/mute.wav.npy|%s"
-                % (now_dir, sr2, now_dir, fea_dim, now_dir, now_dir, spk_id5)
-            )
-    else:
-        for _ in range(2):
-            opt.append(
-                "%s/logs/mute/0_gt_wavs/mute%s.wav|%s/logs/mute/3_feature%s/mute.npy|%s"
-                % (now_dir, sr2, now_dir, fea_dim, spk_id5)
-            )
-    shuffle(opt)
-    with open("%s/filelist.txt" % model_log_dir, "w") as f:
-        f.write("\n".join(opt))
-    yield get_info_str("write filelist done")
-    if gpus16:
-        cmd = (
-            config.python_cmd
-            +" train_nsf_sim_cache_sid_load_pretrain.py -e %s -sr %s -f0 %s -bs %s -g %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s"
-            % (
-                exp_dir1,
-                sr2,
-                1 if if_f0_3 else 0,
-                batch_size12,
-                gpus16,
-                total_epoch11,
-                save_epoch10,
-                ("-pg %s" % pretrained_G14) if pretrained_G14 != "" else "",
-                ("-pd %s" % pretrained_D15) if pretrained_D15 != "" else "",
-                1 if if_save_latest13 == True else 0,
-                1 if if_cache_gpu17 == True else 0,
-                1 if if_save_every_weights18 == True else 0,
-                version19,
-            )
-        )
-    else:
-        cmd = (
-            config.python_cmd
-            + " train_nsf_sim_cache_sid_load_pretrain.py -e %s -sr %s -f0 %s -bs %s -te %s -se %s %s %s -l %s -c %s -sw %s -v %s"
-            % (
-                exp_dir1,
-                sr2,
-                1 if if_f0_3 else 0,
-                batch_size12,
-                total_epoch11,
-                save_epoch10,
-                ("-pg %s" % pretrained_G14) if pretrained_G14 != "" else "",
-                ("-pd %s" % pretrained_D15) if pretrained_D15 != "" else "",
-                1 if if_save_latest13 == True else 0,
-                1 if if_cache_gpu17 == True else 0,
-                1 if if_save_every_weights18 == True else 0,
-                version19,
-            )
-        )
-    yield get_info_str(cmd)
-    p = Popen(cmd, shell=True, cwd=now_dir)
-    p.wait()
-    yield get_info_str(i18n("训练结束, 您可查看控制台训练日志或实验文件夹下的train.log"))
-    #######step3b:训练索引
-    npys = []
-    listdir_res = list(os.listdir(feature_dir))
-    for name in sorted(listdir_res):
-        phone = np.load("%s/%s" % (feature_dir, name))
-        npys.append(phone)
-    big_npy = np.concatenate(npys, 0)
-
-    big_npy_idx = np.arange(big_npy.shape[0])
-    np.random.shuffle(big_npy_idx)
-    big_npy = big_npy[big_npy_idx]
-    np.save("%s/total_fea.npy" % model_log_dir, big_npy)
-
-    # n_ivf =  big_npy.shape[0] // 39
-    n_ivf = min(int(16 * np.sqrt(big_npy.shape[0])), big_npy.shape[0] // 39)
-    yield get_info_str("%s,%s" % (big_npy.shape, n_ivf))
-    index = faiss.index_factory(256 if version19 == "v1" else 768, "IVF%s,Flat" % n_ivf)
-    yield get_info_str("training index")
-    index_ivf = faiss.extract_index_ivf(index)  #
-    index_ivf.nprobe = 1
-    index.train(big_npy)
-    faiss.write_index(
-        index,
-        "%s/trained_IVF%s_Flat_nprobe_%s_%s_%s.index"
-        % (model_log_dir, n_ivf, index_ivf.nprobe, exp_dir1, version19),
-    )
-    yield get_info_str("adding index")
-    batch_size_add = 8192
-    for i in range(0, big_npy.shape[0], batch_size_add):
-        index.add(big_npy[i : i + batch_size_add])
-    faiss.write_index(
-        index,
-        "%s/added_IVF%s_Flat_nprobe_%s_%s_%s.index"
-        % (model_log_dir, n_ivf, index_ivf.nprobe, exp_dir1, version19),
-    )
-    yield get_info_str(
-        "成功构建索引, added_IVF%s_Flat_nprobe_%s_%s_%s.index"
-        % (n_ivf, index_ivf.nprobe, exp_dir1, version19)
-    )
-    yield get_info_str(i18n("全流程结束！"))
-
-
-def whethercrepeornah(radio):
-    mango = True if radio == 'mangio-crepe' or radio == 'mangio-crepe-tiny' else False
-    return ({"visible": mango, "__type__": "update"})
-
-#                    ckpt_path2.change(change_info_,[ckpt_path2],[sr__,if_f0__])
-def change_info_(ckpt_path):
-    if (
-        os.path.exists(ckpt_path.replace(os.path.basename(ckpt_path), "train.log"))
-        == False
-    ):
-        return {"__type__": "update"}, {"__type__": "update"}, {"__type__": "update"}
-    try:
-        with open(
-            ckpt_path.replace(os.path.basename(ckpt_path), "train.log"), "r"
-        ) as f:
-            info = eval(f.read().strip("\n").split("\n")[0].split("\t")[-1])
-            sr, f0 = info["sample_rate"], info["if_f0"]
-            version = "v2" if ("version" in info and info["version"] == "v2") else "v1"
-            return sr, str(f0), version
-    except:
-        traceback.print_exc()
-        return {"__type__": "update"}, {"__type__": "update"}, {"__type__": "update"}
-
-
-from lib.infer_pack.models_onnx import SynthesizerTrnMsNSFsidM
-
-
-def export_onnx(ModelPath, ExportedPath, MoeVS=True):
-    cpt = torch.load(ModelPath, map_location="cpu")
-    cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0]  # n_spk
-    hidden_channels = 256 if cpt.get("version","v1")=="v1"else 768#cpt["config"][-2]  # hidden_channels，为768Vec做准备
-
-    test_phone = torch.rand(1, 200, hidden_channels)  # hidden unit
-    test_phone_lengths = torch.tensor([200]).long()  # hidden unit 长度（貌似没啥用）
-    test_pitch = torch.randint(size=(1, 200), low=5, high=255)  # 基频（单位赫兹）
-    test_pitchf = torch.rand(1, 200)  # nsf基频
-    test_ds = torch.LongTensor([0])  # 说话人ID
-    test_rnd = torch.rand(1, 192, 200)  # 噪声（加入随机因子）
-
-    device = "cpu"  # 导出时设备（不影响使用模型）
-
-
-    net_g = SynthesizerTrnMsNSFsidM(
-        *cpt["config"], is_half=False,version=cpt.get("version","v1")
-    )  # fp32导出（C++要支持fp16必须手动将内存重新排列所以暂时不用fp16）
-    net_g.load_state_dict(cpt["weight"], strict=False)
-    input_names = ["phone", "phone_lengths", "pitch", "pitchf", "ds", "rnd"]
-    output_names = [
-        "audio",
-    ]
-    # net_g.construct_spkmixmap(n_speaker) 多角色混合轨道导出
-    torch.onnx.export(
-        net_g,
-        (
-            test_phone.to(device),
-            test_phone_lengths.to(device),
-            test_pitch.to(device),
-            test_pitchf.to(device),
-            test_ds.to(device),
-            test_rnd.to(device),
-        ),
-        ExportedPath,
-        dynamic_axes={
-            "phone": [1],
-            "pitch": [1],
-            "pitchf": [1],
-            "rnd": [2],
-        },
-        do_constant_folding=False,
-        opset_version=16,
-        verbose=False,
-        input_names=input_names,
-        output_names=output_names,
-    )
-    return "Finished"
-
-#region RVC WebUI App
-
-def get_presets():
-    data = None
-    with open('../inference-presets.json', 'r') as file:
-        data = json.load(file)
-    preset_names = []
-    for preset in data['presets']:
-        preset_names.append(preset['name'])
-    
-    return preset_names
-
-def change_choices2():
-    audio_files=[]
-    for filename in os.listdir("./audios"):
-        if filename.endswith(('.wav','.mp3','.ogg','.flac','.m4a','.aac','.mp4')):
-            audio_files.append(os.path.join('./audios',filename).replace('\\', '/'))
-    return {"choices": sorted(audio_files), "__type__": "update"}, {"__type__": "update"}
-    
-audio_files=[]
-for filename in os.listdir("./audios"):
-    if filename.endswith(('.wav','.mp3','.ogg','.flac','.m4a','.aac','.mp4')):
-        audio_files.append(os.path.join('./audios',filename).replace('\\', '/'))
-        
-def get_index():
-    if check_for_name() != '':
-        chosen_model=sorted(names)[0].split(".")[0]
-        logs_path="./logs/"+chosen_model
-        if os.path.exists(logs_path):
-            for file in os.listdir(logs_path):
-                if file.endswith(".index"):
-                    return os.path.join(logs_path, file)
-            return ''
-        else:
-            return ''
-        
-def get_indexes():
-    indexes_list=[]
-    for dirpath, dirnames, filenames in os.walk("./logs/"):
-        for filename in filenames:
-            if filename.endswith(".index"):
-                indexes_list.append(os.path.join(dirpath,filename))
-    if len(indexes_list) > 0:
-        return indexes_list
-    else:
-        return ''
-        
-def get_name():
-    if len(audio_files) > 0:
-        return sorted(audio_files)[0]
-    else:
-        return ''
-        
-def save_to_wav(record_button):
-    if record_button is None:
-        pass
-    else:
-        path_to_file=record_button
-        new_name = datetime.datetime.now().strftime("%Y-%m-%d_%H-%M-%S")+'.wav'
-        new_path='./audios/'+new_name
-        shutil.move(path_to_file,new_path)
-        return new_path
-    
-def save_to_wav2(dropbox):
-    file_path=dropbox.name
-    shutil.move(file_path,'./audios')
-    return os.path.join('./audios',os.path.basename(file_path))
-    
-def match_index(sid0):
-    folder=sid0.split(".")[0]
-    parent_dir="./logs/"+folder
-    if os.path.exists(parent_dir):
-        for filename in os.listdir(parent_dir):
-            if filename.endswith(".index"):
-                index_path=os.path.join(parent_dir,filename)
-                return index_path
-    else:
-        return ''
-                
-def check_for_name():
-    if len(names) > 0:
-        return sorted(names)[0]
-    else:
-        return ''
-            
-def download_from_url(url, model):
-    if url == '':
-        return "URL cannot be left empty."
-    if model =='':
-        return "You need to name your model. For example: My-Model"
-    url = url.strip()
-    zip_dirs = ["zips", "unzips"]
-    for directory in zip_dirs:
-        if os.path.exists(directory):
-            shutil.rmtree(directory)
-    os.makedirs("zips", exist_ok=True)
-    os.makedirs("unzips", exist_ok=True)
-    zipfile = model + '.zip'
-    zipfile_path = './zips/' + zipfile
-    try:
-        if "drive.google.com" in url:
-            subprocess.run(["gdown", url, "--fuzzy", "-O", zipfile_path])
-        elif "mega.nz" in url:
-            m = Mega()
-            m.download_url(url, './zips')
-        else:
-            subprocess.run(["wget", url, "-O", zipfile_path])
-        for filename in os.listdir("./zips"):
-            if filename.endswith(".zip"):
-                zipfile_path = os.path.join("./zips/",filename)
-                shutil.unpack_archive(zipfile_path, "./unzips", 'zip')
-            else:
-                return "No zipfile found."
-        for root, dirs, files in os.walk('./unzips'):
-            for file in files:
-                file_path = os.path.join(root, file)
-                if file.endswith(".index"):
-                    os.mkdir(f'./logs/{model}')
-                    shutil.copy2(file_path,f'./logs/{model}')
-                elif "G_" not in file and "D_" not in file and file.endswith(".pth"):
-                    shutil.copy(file_path,f'./weights/{model}.pth')
-        shutil.rmtree("zips")
-        shutil.rmtree("unzips")
-        return "Success."
-    except:
-        return "There's been an error."
-def success_message(face):
-    return f'{face.name} has been uploaded.', 'None'
-def mouth(size, face, voice, faces):
-    if size == 'Half':
-        size = 2
-    else:
-        size = 1
-    if faces == 'None':
-        character = face.name
-    else:
-        if faces == 'Ben Shapiro':
-            character = '/content/wav2lip-HD/inputs/ben-shapiro-10.mp4'
-        elif faces == 'Andrew Tate':
-            character = '/content/wav2lip-HD/inputs/tate-7.mp4'
-    command = "python inference.py " \
-            "--checkpoint_path checkpoints/wav2lip.pth " \
-            f"--face {character} " \
-            f"--audio {voice} " \
-            "--pads 0 20 0 0 " \
-            "--outfile /content/wav2lip-HD/outputs/result.mp4 " \
-            "--fps 24 " \
-            f"--resize_factor {size}"
-    process = subprocess.Popen(command, shell=True, cwd='/content/wav2lip-HD/Wav2Lip-master')
-    stdout, stderr = process.communicate()
-    return '/content/wav2lip-HD/outputs/result.mp4', 'Animation completed.'
-eleven_voices = ['Adam','Antoni','Josh','Arnold','Sam','Bella','Rachel','Domi','Elli']
-eleven_voices_ids=['pNInz6obpgDQGcFmaJgB','ErXwobaYiN019PkySvjV','TxGEqnHWrfWFTfGW9XjX','VR6AewLTigWG4xSOukaG','yoZ06aMxZJJ28mfd3POQ','EXAVITQu4vr4xnSDxMaL','21m00Tcm4TlvDq8ikWAM','AZnzlk1XvdvUeBnXmlld','MF3mGyEYCl7XYWbV9V6O']
-chosen_voice = dict(zip(eleven_voices, eleven_voices_ids))
-
-def stoptraining(mim): 
-    if int(mim) == 1:
-        try:
-            CSVutil('csvdb/stop.csv', 'w+', 'stop', 'True')
-            os.kill(PID, signal.SIGTERM)
-        except Exception as e:
-            print(f"Couldn't click due to {e}")
-    return (
-        {"visible": False, "__type__": "update"}, 
-        {"visible": True, "__type__": "update"},
-    )
-
-
-def elevenTTS(xiapi, text, id, lang):
-    if xiapi!= '' and id !='': 
-        choice = chosen_voice[id]
-        CHUNK_SIZE = 1024
-        url = f"https://api.elevenlabs.io/v1/text-to-speech/{choice}"
-        headers = {
-        "Accept": "audio/mpeg",
-        "Content-Type": "application/json",
-        "xi-api-key": xiapi
-        }
-        if lang == 'en':
-            data = {
-            "text": text,
-            "model_id": "eleven_monolingual_v1",
-            "voice_settings": {
-            "stability": 0.5,
-            "similarity_boost": 0.5
-            }
-            }
-        else:
-            data = {
-            "text": text,
-            "model_id": "eleven_multilingual_v1",
-            "voice_settings": {
-            "stability": 0.5,
-            "similarity_boost": 0.5
-            }
-            }
-
-        response = requests.post(url, json=data, headers=headers)
-        with open('./temp_eleven.mp3', 'wb') as f:
-          for chunk in response.iter_content(chunk_size=CHUNK_SIZE):
-              if chunk:
-                  f.write(chunk)
-        aud_path = save_to_wav('./temp_eleven.mp3')
-        return aud_path, aud_path
-    else:
-        tts = gTTS(text, lang=lang)
-        tts.save('./temp_gTTS.mp3')
-        aud_path = save_to_wav('./temp_gTTS.mp3')
-        return aud_path, aud_path
-
-def upload_to_dataset(files, dir):
-    if dir == '':
-        dir = './dataset'
-    if not os.path.exists(dir):
-        os.makedirs(dir)
-    count = 0
-    for file in files:
-        path=file.name
-        shutil.copy2(path,dir)
-        count += 1
-    return f' {count} files uploaded to {dir}.'     
-    
-def zip_downloader(model):
-    if not os.path.exists(f'./weights/{model}.pth'):
-        return {"__type__": "update"}, f'Make sure the Voice Name is correct. I could not find {model}.pth'
-    index_found = False
-    for file in os.listdir(f'./logs/{model}'):
-        if file.endswith('.index') and 'added' in file:
-            log_file = file
-            index_found = True
-    if index_found:
-        return [f'./weights/{model}.pth', f'./logs/{model}/{log_file}'], "Done"
-    else:
-        return f'./weights/{model}.pth', "Could not find Index file."
-
-with gr.Blocks(theme=gr.themes.Base(), title='Mangio-RVC-Web 💻') as app:
-    with gr.Tabs():
-        with gr.TabItem("Inference"):
-            gr.HTML("<h1>  RVC V2 Huggingface Version   </h1>")    
-            gr.HTML("<h4>   Inference may take time because this space does not use GPU :(  </h4>")
-            gr.HTML("<h10>   Huggingface version made by Clebersla   </h10>")   
-            gr.HTML("<h10>   Easy GUI coded by Rejekt's   </h10>")
-            gr.HTML("<h4>  If you want to use this space privately, I recommend you duplicate the space.  </h4>")
-
-            # Inference Preset Row
-            # with gr.Row():
-            #     mangio_preset = gr.Dropdown(label="Inference Preset", choices=sorted(get_presets()))
-            #     mangio_preset_name_save = gr.Textbox(
-            #         label="Your preset name"
-            #     )
-            #     mangio_preset_save_btn = gr.Button('Save Preset', variant="primary")
-
-            # Other RVC stuff
-            with gr.Row():
-                sid0 = gr.Dropdown(label="1.Choose your Model.", choices=sorted(names), value=check_for_name())
-                refresh_button = gr.Button("Refresh", variant="primary")
-                if check_for_name() != '':
-                    get_vc(sorted(names)[0])
-                vc_transform0 = gr.Number(label="Optional: You can change the pitch here or leave it at 0.", value=0)
-                #clean_button = gr.Button(i18n("卸载音色省显存"), variant="primary")
-                spk_item = gr.Slider(
-                    minimum=0,
-                    maximum=2333,
-                    step=1,
-                    label=i18n("请选择说话人id"),
-                    value=0,
-                    visible=False,
-                    interactive=True,
-                )
-                #clean_button.click(fn=clean, inputs=[], outputs=[sid0])
-                sid0.change(
-                    fn=get_vc,
-                    inputs=[sid0],
-                    outputs=[spk_item],
-                )
-                but0 = gr.Button("Convert", variant="primary")
-            with gr.Row():
-                with gr.Column():
-                    with gr.Row():
-                        dropbox = gr.File(label="Drop your audio here & hit the Reload button.")
-                    with gr.Row():
-                        record_button=gr.Audio(source="microphone", label="OR Record audio.", type="filepath")
-                    with gr.Row():
-                        input_audio0 = gr.Dropdown(
-                            label="2.Choose your audio.",
-                            value="./audios/someguy.mp3",
-                            choices=audio_files
-                            )
-                        dropbox.upload(fn=save_to_wav2, inputs=[dropbox], outputs=[input_audio0])
-                        dropbox.upload(fn=change_choices2, inputs=[], outputs=[input_audio0])
-                        refresh_button2 = gr.Button("Refresh", variant="primary", size='sm')
-                        record_button.change(fn=save_to_wav, inputs=[record_button], outputs=[input_audio0])
-                        record_button.change(fn=change_choices2, inputs=[], outputs=[input_audio0])
-                    with gr.Row():
-                        with gr.Accordion('Text To Speech', open=False):
-                            with gr.Column():
-                                lang = gr.Radio(label='Chinese & Japanese do not work with ElevenLabs currently.',choices=['en','es','fr','pt','zh-CN','de','hi','ja'], value='en')
-                                api_box = gr.Textbox(label="Enter your API Key for ElevenLabs, or leave empty to use GoogleTTS", value='')
-                                elevenid=gr.Dropdown(label="Voice:", choices=eleven_voices)
-                            with gr.Column():
-                                tfs = gr.Textbox(label="Input your Text", interactive=True, value="This is a test.")
-                                tts_button = gr.Button(value="Speak")
-                                tts_button.click(fn=elevenTTS, inputs=[api_box,tfs, elevenid, lang], outputs=[record_button, input_audio0])
-                    with gr.Row():
-                        with gr.Accordion('Wav2Lip', open=False):
-                            with gr.Row():
-                                size = gr.Radio(label='Resolution:',choices=['Half','Full'])
-                                face = gr.UploadButton("Upload A Character",type='file')
-                                faces = gr.Dropdown(label="OR Choose one:", choices=['None','Ben Shapiro','Andrew Tate'])
-                            with gr.Row():
-                                preview = gr.Textbox(label="Status:",interactive=False)
-                                face.upload(fn=success_message,inputs=[face], outputs=[preview, faces])
-                            with gr.Row():
-                                animation = gr.Video(type='filepath')
-                                refresh_button2.click(fn=change_choices2, inputs=[], outputs=[input_audio0, animation])
-                            with gr.Row():
-                                animate_button = gr.Button('Animate')
-
-                with gr.Column():
-                    with gr.Accordion("Index Settings", open=False):
-                        file_index1 = gr.Dropdown(
-                            label="3. Path to your added.index file (if it didn't automatically find it.)",
-                            choices=get_indexes(),
-                            value=get_index(),
-                            interactive=True,
-                            )
-                        sid0.change(fn=match_index, inputs=[sid0],outputs=[file_index1])
-                        refresh_button.click(
-                            fn=change_choices, inputs=[], outputs=[sid0, file_index1]
-                            )
-                        # file_big_npy1 = gr.Textbox(
-                        #     label=i18n("特征文件路径"),
-                        #     value="E:\\codes\py39\\vits_vc_gpu_train\\logs\\mi-test-1key\\total_fea.npy",
-                        #     interactive=True,
-                        # )
-                        index_rate1 = gr.Slider(
-                            minimum=0,
-                            maximum=1,
-                            label=i18n("检索特征占比"),
-                            value=0.66,
-                            interactive=True,
-                            )
-                    vc_output2 = gr.Audio(
-                        label="Output Audio (Click on the Three Dots in the Right Corner to Download)",
-                        type='filepath',
-                        interactive=False,
-                    )
-                    animate_button.click(fn=mouth, inputs=[size, face, vc_output2, faces], outputs=[animation, preview])
-                    with gr.Accordion("Advanced Settings", open=False):
-                        f0method0 = gr.Radio(
-                            label="Optional: Change the Pitch Extraction Algorithm.\nExtraction methods are sorted from 'worst quality' to 'best quality'.\nmangio-crepe may or may not be better than rmvpe in cases where 'smoothness' is more important, but rmvpe is the best overall.",
-                            choices=["pm", "dio", "crepe-tiny", "mangio-crepe-tiny", "crepe", "harvest", "mangio-crepe", "rmvpe"], # Fork Feature. Add Crepe-Tiny
-                            value="rmvpe",
-                            interactive=True,
-                        )
-                        
-                        crepe_hop_length = gr.Slider(
-                            minimum=1,
-                            maximum=512,
-                            step=1,
-                            label="Mangio-Crepe Hop Length. Higher numbers will reduce the chance of extreme pitch changes but lower numbers will increase accuracy. 64-192 is a good range to experiment with.",
-                            value=120,
-                            interactive=True,
-                            visible=False,
-                            )
-                        f0method0.change(fn=whethercrepeornah, inputs=[f0method0], outputs=[crepe_hop_length])
-                        filter_radius0 = gr.Slider(
-                            minimum=0,
-                            maximum=7,
-                            label=i18n(">=3则使用对harvest音高识别的结果使用中值滤波，数值为滤波半径，使用可以削弱哑音"),
-                            value=3,
-                            step=1,
-                            interactive=True,
-                            )
-                        resample_sr0 = gr.Slider(
-                            minimum=0,
-                            maximum=48000,
-                            label=i18n("后处理重采样至最终采样率，0为不进行重采样"),
-                            value=0,
-                            step=1,
-                            interactive=True,
-                            visible=False
-                            )
-                        rms_mix_rate0 = gr.Slider(
-                            minimum=0,
-                            maximum=1,
-                            label=i18n("输入源音量包络替换输出音量包络融合比例，越靠近1越使用输出包络"),
-                            value=0.21,
-                            interactive=True,
-                            )
-                        protect0 = gr.Slider(
-                            minimum=0,
-                            maximum=0.5,
-                            label=i18n("保护清辅音和呼吸声，防止电音撕裂等artifact，拉满0.5不开启，调低加大保护力度但可能降低索引效果"),
-                            value=0.33,
-                            step=0.01,
-                            interactive=True,
-                            )
-                        formanting = gr.Checkbox(
-                            value=bool(DoFormant),
-                            label="[EXPERIMENTAL] Formant shift inference audio",
-                            info="Used for male to female and vice-versa conversions",
-                            interactive=True,
-                            visible=True,
-                        )
-                        
-                        formant_preset = gr.Dropdown(
-                            value='',
-                            choices=get_fshift_presets(),
-                            label="browse presets for formanting",
-                            visible=bool(DoFormant),
-                        )
-                        formant_refresh_button = gr.Button(
-                            value='\U0001f504',
-                            visible=bool(DoFormant),
-                            variant='primary',
-                        )
-                        #formant_refresh_button = ToolButton( elem_id='1')
-                        #create_refresh_button(formant_preset, lambda: {"choices": formant_preset}, "refresh_list_shiftpresets")
-                        
-                        qfrency = gr.Slider(
-                                value=Quefrency,
-                                info="Default value is 1.0",
-                                label="Quefrency for formant shifting",
-                                minimum=0.0,
-                                maximum=16.0,
-                                step=0.1,
-                                visible=bool(DoFormant),
-                                interactive=True,
-                            )
-                        tmbre = gr.Slider(
-                            value=Timbre,
-                            info="Default value is 1.0",
-                            label="Timbre for formant shifting",
-                            minimum=0.0,
-                            maximum=16.0,
-                            step=0.1,
-                            visible=bool(DoFormant),
-                            interactive=True,
-                        )
-                        
-                        formant_preset.change(fn=preset_apply, inputs=[formant_preset, qfrency, tmbre], outputs=[qfrency, tmbre])
-                        frmntbut = gr.Button("Apply", variant="primary", visible=bool(DoFormant))
-                        formanting.change(fn=formant_enabled,inputs=[formanting,qfrency,tmbre,frmntbut,formant_preset,formant_refresh_button],outputs=[formanting,qfrency,tmbre,frmntbut,formant_preset,formant_refresh_button])
-                        frmntbut.click(fn=formant_apply,inputs=[qfrency, tmbre], outputs=[qfrency, tmbre])
-                        formant_refresh_button.click(fn=update_fshift_presets,inputs=[formant_preset, qfrency, tmbre],outputs=[formant_preset, qfrency, tmbre])
-            with gr.Row():
-                vc_output1 = gr.Textbox("")
-                f0_file = gr.File(label=i18n("F0曲线文件, 可选, 一行一个音高, 代替默认F0及升降调"), visible=False)
-                
-                but0.click(
-                    vc_single,
-                    [
-                        spk_item,
-                        input_audio0,
-                        vc_transform0,
-                        f0_file,
-                        f0method0,
-                        file_index1,
-                        # file_index2,
-                        # file_big_npy1,
-                        index_rate1,
-                        filter_radius0,
-                        resample_sr0,
-                        rms_mix_rate0,
-                        protect0,
-                        crepe_hop_length
-                    ],
-                    [vc_output1, vc_output2],
-                )
-                        
-            with gr.Accordion("Batch Conversion",open=False):
-                with gr.Row():
-                    with gr.Column():
-                        vc_transform1 = gr.Number(
-                            label=i18n("变调(整数, 半音数量, 升八度12降八度-12)"), value=0
-                        )
-                        opt_input = gr.Textbox(label=i18n("指定输出文件夹"), value="opt")
-                        f0method1 = gr.Radio(
-                            label=i18n(
-                                "选择音高提取算法,输入歌声可用pm提速,harvest低音好但巨慢无比,crepe效果好但吃GPU"
-                            ),
-                            choices=["pm", "harvest", "crepe", "rmvpe"],
-                            value="rmvpe",
-                            interactive=True,
-                        )
-                        filter_radius1 = gr.Slider(
-                            minimum=0,
-                            maximum=7,
-                            label=i18n(">=3则使用对harvest音高识别的结果使用中值滤波，数值为滤波半径，使用可以削弱哑音"),
-                            value=3,
-                            step=1,
-                            interactive=True,
-                        )
-                    with gr.Column():
-                        file_index3 = gr.Textbox(
-                            label=i18n("特征检索库文件路径,为空则使用下拉的选择结果"),
-                            value="",
-                            interactive=True,
-                        )
-                        file_index4 = gr.Dropdown(
-                            label=i18n("自动检测index路径,下拉式选择(dropdown)"),
-                            choices=sorted(index_paths),
-                            interactive=True,
-                        )
-                        refresh_button.click(
-                            fn=lambda: change_choices()[1],
-                            inputs=[],
-                            outputs=file_index4,
-                        )
-                        # file_big_npy2 = gr.Textbox(
-                        #     label=i18n("特征文件路径"),
-                        #     value="E:\\codes\\py39\\vits_vc_gpu_train\\logs\\mi-test-1key\\total_fea.npy",
-                        #     interactive=True,
-                        # )
-                        index_rate2 = gr.Slider(
-                            minimum=0,
-                            maximum=1,
-                            label=i18n("检索特征占比"),
-                            value=1,
-                            interactive=True,
-                        )
-                    with gr.Column():
-                        resample_sr1 = gr.Slider(
-                            minimum=0,
-                            maximum=48000,
-                            label=i18n("后处理重采样至最终采样率，0为不进行重采样"),
-                            value=0,
-                            step=1,
-                            interactive=True,
-                        )
-                        rms_mix_rate1 = gr.Slider(
-                            minimum=0,
-                            maximum=1,
-                            label=i18n("输入源音量包络替换输出音量包络融合比例，越靠近1越使用输出包络"),
-                            value=1,
-                            interactive=True,
-                        )
-                        protect1 = gr.Slider(
-                            minimum=0,
-                            maximum=0.5,
-                            label=i18n(
-                                "保护清辅音和呼吸声，防止电音撕裂等artifact，拉满0.5不开启，调低加大保护力度但可能降低索引效果"
-                            ),
-                            value=0.33,
-                            step=0.01,
-                            interactive=True,
-                        )
-                    with gr.Column():
-                        dir_input = gr.Textbox(
-                            label=i18n("输入待处理音频文件夹路径(去文件管理器地址栏拷就行了)"),
-                            value="E:\codes\py39\\test-20230416b\\todo-songs",
-                        )
-                        inputs = gr.File(
-                            file_count="multiple", label=i18n("也可批量输入音频文件, 二选一, 优先读文件夹")
-                        )
-                    with gr.Row():
-                        format1 = gr.Radio(
-                            label=i18n("导出文件格式"),
-                            choices=["wav", "flac", "mp3", "m4a"],
-                            value="flac",
-                            interactive=True,
-                        )
-                        but1 = gr.Button(i18n("转换"), variant="primary")
-                        vc_output3 = gr.Textbox(label=i18n("输出信息"))
-                    but1.click(
-                        vc_multi,
-                        [
-                            spk_item,
-                            dir_input,
-                            opt_input,
-                            inputs,
-                            vc_transform1,
-                            f0method1,
-                            file_index3,
-                            file_index4,
-                            # file_big_npy2,
-                            index_rate2,
-                            filter_radius1,
-                            resample_sr1,
-                            rms_mix_rate1,
-                            protect1,
-                            format1,
-                            crepe_hop_length,
-                        ],
-                        [vc_output3],
-                    )
-                    but1.click(fn=lambda: easy_uploader.clear())
-        with gr.TabItem("Download Model"):
-            with gr.Row():
-                url=gr.Textbox(label="Enter the URL to the Model:")
-            with gr.Row():
-                model = gr.Textbox(label="Name your model:")
-                download_button=gr.Button("Download")
-            with gr.Row():
-                status_bar=gr.Textbox(label="")
-                download_button.click(fn=download_from_url, inputs=[url, model], outputs=[status_bar])
-            with gr.Row():
-                gr.Markdown(
-                """
-                Original RVC:https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI Mangio’s RVC Fork:https://github.com/Mangio621/Mangio-RVC-Fork ❤️ If you like the EasyGUI, help me keep it.❤️ https://paypal.me/lesantillan
-                """
-                )
-
-        def has_two_files_in_pretrained_folder():
-            pretrained_folder = "./pretrained/"
-            if not os.path.exists(pretrained_folder):
-                return False
-
-            files_in_folder = os.listdir(pretrained_folder)
-            num_files = len(files_in_folder)
-            return num_files >= 2
-
-        if has_two_files_in_pretrained_folder():    
-            print("Pretrained weights are downloaded. Training tab enabled!\n-------------------------------")       
-            with gr.TabItem("Train", visible=False):
-                with gr.Row():
-                    with gr.Column():
-                        exp_dir1 = gr.Textbox(label="Voice Name:", value="My-Voice")
-                        sr2 = gr.Radio(
-                            label=i18n("目标采样率"),
-                            choices=["40k", "48k"],
-                            value="40k",
-                            interactive=True,
-                            visible=False
-                        )
-                        if_f0_3 = gr.Radio(
-                            label=i18n("模型是否带音高指导(唱歌一定要, 语音可以不要)"),
-                            choices=[True, False],
-                            value=True,
-                            interactive=True,
-                            visible=False
-                        )
-                        version19 = gr.Radio(
-                            label="RVC version",
-                            choices=["v1", "v2"],
-                            value="v2",
-                            interactive=True,
-                            visible=False,
-                        )
-                        np7 = gr.Slider(
-                            minimum=0,
-                            maximum=config.n_cpu,
-                            step=1,
-                            label="# of CPUs for data processing (Leave as it is)",
-                            value=config.n_cpu,
-                            interactive=True,
-                            visible=True
-                        )
-                        trainset_dir4 = gr.Textbox(label="Path to your dataset (audios, not zip):", value="./dataset")
-                        easy_uploader = gr.Files(label='OR Drop your audios here. They will be uploaded in your dataset path above.',file_types=['audio'])
-                        but1 = gr.Button("1. Process The Dataset", variant="primary")
-                        info1 = gr.Textbox(label="Status (wait until it says 'end preprocess'):", value="")
-                        easy_uploader.upload(fn=upload_to_dataset, inputs=[easy_uploader, trainset_dir4], outputs=[info1])
-                        but1.click(
-                            preprocess_dataset, [trainset_dir4, exp_dir1, sr2, np7], [info1]
-                        )
-                    with gr.Column():
-                        spk_id5 = gr.Slider(
-                            minimum=0,
-                            maximum=4,
-                            step=1,
-                            label=i18n("请指定说话人id"),
-                            value=0,
-                            interactive=True,
-                            visible=False
-                        )
-                        with gr.Accordion('GPU Settings', open=False, visible=False):
-                            gpus6 = gr.Textbox(
-                                label=i18n("以-分隔输入使用的卡号, 例如   0-1-2   使用卡0和卡1和卡2"),
-                                value=gpus,
-                                interactive=True,
-                                visible=False
-                            )
-                            gpu_info9 = gr.Textbox(label=i18n("显卡信息"), value=gpu_info)
-                        f0method8 = gr.Radio(
-                            label=i18n(
-                                "选择音高提取算法:输入歌声可用pm提速,高质量语音但CPU差可用dio提速,harvest质量更好但慢"
-                            ),
-                            choices=["harvest","crepe", "mangio-crepe", "rmvpe"], # Fork feature: Crepe on f0 extraction for training.
-                            value="rmvpe",
-                            interactive=True,
-                        )
-                        
-                        extraction_crepe_hop_length = gr.Slider(
-                            minimum=1,
-                            maximum=512,
-                            step=1,
-                            label=i18n("crepe_hop_length"),
-                            value=128,
-                            interactive=True,
-                            visible=False,
-                        )
-                        f0method8.change(fn=whethercrepeornah, inputs=[f0method8], outputs=[extraction_crepe_hop_length])
-                        but2 = gr.Button("2. Pitch Extraction", variant="primary")
-                        info2 = gr.Textbox(label="Status(Check the Colab Notebook's cell output):", value="", max_lines=8)
-                        but2.click(
-                                extract_f0_feature,
-                                [gpus6, np7, f0method8, if_f0_3, exp_dir1, version19, extraction_crepe_hop_length],
-                                [info2],
-                            )
-                    with gr.Row():      
-                        with gr.Column():
-                            total_epoch11 = gr.Slider(
-                                minimum=1,
-                                maximum=5000,
-                                step=10,
-                                label="Total # of training epochs (IF you choose a value too high, your model will sound horribly overtrained.):",
-                                value=250,
-                                interactive=True,
-                            )
-                            butstop = gr.Button(
-                                "Stop Training",
-                                variant='primary',
-                                visible=False,
-                            )
-                            but3 = gr.Button("3. Train Model", variant="primary", visible=True)
-                            
-                            but3.click(fn=stoptraining, inputs=[gr.Number(value=0, visible=False)], outputs=[but3, butstop])
-                            butstop.click(fn=stoptraining, inputs=[gr.Number(value=1, visible=False)], outputs=[butstop, but3])
-                            
-                            
-                            but4 = gr.Button("4.Train Index", variant="primary")
-                            info3 = gr.Textbox(label="Status(Check the Colab Notebook's cell output):", value="", max_lines=10)
-                            with gr.Accordion("Training Preferences (You can leave these as they are)", open=False):
-                                #gr.Markdown(value=i18n("step3: 填写训练设置, 开始训练模型和索引"))
-                                with gr.Column():
-                                    save_epoch10 = gr.Slider(
-                                        minimum=1,
-                                        maximum=200,
-                                        step=1,
-                                        label="Backup every X amount of epochs:",
-                                        value=10,
-                                        interactive=True,
-                                    )
-                                    batch_size12 = gr.Slider(
-                                        minimum=1,
-                                        maximum=40,
-                                        step=1,
-                                        label="Batch Size (LEAVE IT unless you know what you're doing!):",
-                                        value=default_batch_size,
-                                        interactive=True,
-                                    )
-                                    if_save_latest13 = gr.Checkbox(
-                                        label="Save only the latest '.ckpt' file to save disk space.",
-                                        value=True,
-                                        interactive=True,
-                                    )
-                                    if_cache_gpu17 = gr.Checkbox(
-                                        label="Cache all training sets to GPU memory. Caching small datasets (less than 10 minutes) can speed up training, but caching large datasets will consume a lot of GPU memory and may not provide much speed improvement.",
-                                        value=False,
-                                        interactive=True,
-                                    )
-                                    if_save_every_weights18 = gr.Checkbox(
-                                        label="Save a small final model to the 'weights' folder at each save point.",
-                                        value=True,
-                                        interactive=True,
-                                    )
-                            zip_model = gr.Button('5. Download Model')
-                            zipped_model = gr.Files(label='Your Model and Index file can be downloaded here:')
-                            zip_model.click(fn=zip_downloader, inputs=[exp_dir1], outputs=[zipped_model, info3])
-                with gr.Group():
-                    with gr.Accordion("Base Model Locations:", open=False, visible=False):
-                        pretrained_G14 = gr.Textbox(
-                            label=i18n("加载预训练底模G路径"),
-                            value="pretrained_v2/f0G40k.pth",
-                            interactive=True,
-                        )
-                        pretrained_D15 = gr.Textbox(
-                            label=i18n("加载预训练底模D路径"),
-                            value="pretrained_v2/f0D40k.pth",
-                            interactive=True,
-                        )
-                        gpus16 = gr.Textbox(
-                            label=i18n("以-分隔输入使用的卡号, 例如   0-1-2   使用卡0和卡1和卡2"),
-                            value=gpus,
-                            interactive=True,
-                        )
-                    sr2.change(
-                        change_sr2,
-                        [sr2, if_f0_3, version19],
-                        [pretrained_G14, pretrained_D15, version19],
-                    )
-                    version19.change(
-                        change_version19,
-                        [sr2, if_f0_3, version19],
-                        [pretrained_G14, pretrained_D15],
-                    )
-                    if_f0_3.change(
-                        change_f0,
-                        [if_f0_3, sr2, version19],
-                        [f0method8, pretrained_G14, pretrained_D15],
-                    )
-                    but5 = gr.Button(i18n("一键训练"), variant="primary", visible=False)
-                    but3.click(
-                        click_train,
-                        [
-                            exp_dir1,
-                            sr2,
-                            if_f0_3,
-                            spk_id5,
-                            save_epoch10,
-                            total_epoch11,
-                            batch_size12,
-                            if_save_latest13,
-                            pretrained_G14,
-                            pretrained_D15,
-                            gpus16,
-                            if_cache_gpu17,
-                            if_save_every_weights18,
-                            version19,
-                        ],
-                        [
-                            info3,
-                            butstop,
-                            but3,
-                        ],
-                    )
-                    but4.click(train_index, [exp_dir1, version19], info3)
-                    but5.click(
-                        train1key,
-                        [
-                            exp_dir1,
-                            sr2,
-                            if_f0_3,
-                            trainset_dir4,
-                            spk_id5,
-                            np7,
-                            f0method8,
-                            save_epoch10,
-                            total_epoch11,
-                            batch_size12,
-                            if_save_latest13,
-                            pretrained_G14,
-                            pretrained_D15,
-                            gpus16,
-                            if_cache_gpu17,
-                            if_save_every_weights18,
-                            version19,
-                            extraction_crepe_hop_length
-                        ],
-                        info3,
-                    )
-
-        else:
-            print(
-                "Pretrained weights not downloaded. Disabling training tab.\n"
-                "Wondering how to train a voice? Visit here for the RVC model training guide: https://t.ly/RVC_Training_Guide\n"
-                "-------------------------------\n"
-            )
-                
-    app.queue(concurrency_count=511, max_size=1022).launch(share=False, quiet=True)
-#endregion
\ No newline at end of file
diff --git a/spaces/CofAI/chat.b4/client/js/icons.js b/spaces/CofAI/chat.b4/client/js/icons.js
deleted file mode 100644
index 84fed38dd35e0d0203370a8314a360d27f350dd6..0000000000000000000000000000000000000000
--- a/spaces/CofAI/chat.b4/client/js/icons.js
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/fontTools/otlLib/__init__.py b/spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/fontTools/otlLib/__init__.py
deleted file mode 100644
index 12e414fc3bf00e6152f953b989914f034edfe9e1..0000000000000000000000000000000000000000
--- a/spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/fontTools/otlLib/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-"""OpenType Layout-related functionality."""
diff --git a/spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/gradio/templates/frontend/assets/index-322e8a8e.css b/spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/gradio/templates/frontend/assets/index-322e8a8e.css
deleted file mode 100644
index aa7186b19dcf31452295d0d5d4dbb3b5aadb3dea..0000000000000000000000000000000000000000
--- a/spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/gradio/templates/frontend/assets/index-322e8a8e.css
+++ /dev/null
@@ -1 +0,0 @@
-.gallery.svelte-1ayixqk,.gallery.svelte-1viwdyg{padding:var(--size-1) var(--size-2)}div.svelte-1viwdyg{overflow:hidden;min-width:var(--local-text-width);white-space:nowrap}video.svelte-1tntsc1{flex:none;border:2px solid var(--border-color-primary);border-radius:var(--radius-lg);max-width:none}video.svelte-1tntsc1:hover,video.selected.svelte-1tntsc1{border-color:var(--border-color-accent)}.table.svelte-1tntsc1{margin:0 auto;width:var(--size-20);height:var(--size-20);object-fit:cover}.gallery.svelte-1tntsc1{max-height:var(--size-20);object-fit:cover}div.svelte-rgtszb{overflow:hidden;text-overflow:ellipsis;white-space:nowrap}.gallery.svelte-rgtszb{display:flex;align-items:center;cursor:pointer;padding:var(--size-1) var(--size-2);text-align:left}table.svelte-1cib1xd.svelte-1cib1xd{position:relative}td.svelte-1cib1xd.svelte-1cib1xd{border:1px solid var(--table-border-color);padding:var(--size-2);font-size:var(--text-sm);font-family:var(--font-mono)}.selected.svelte-1cib1xd td.svelte-1cib1xd{border-color:var(--border-color-accent)}.table.svelte-1cib1xd.svelte-1cib1xd{display:inline-block;margin:0 auto}.gallery.svelte-1cib1xd td.svelte-1cib1xd:first-child{border-left:none}.gallery.svelte-1cib1xd tr:first-child td.svelte-1cib1xd{border-top:none}.gallery.svelte-1cib1xd td.svelte-1cib1xd:last-child{border-right:none}.gallery.svelte-1cib1xd tr:last-child td.svelte-1cib1xd{border-bottom:none}.overlay.svelte-1cib1xd.svelte-1cib1xd{--gradient-to:transparent;position:absolute;bottom:0;background:linear-gradient(to bottom,transparent,var(--gradient-to));width:var(--size-full);height:50%}.odd.svelte-1cib1xd.svelte-1cib1xd{--gradient-to:var(--table-even-background-fill)}.even.svelte-1cib1xd.svelte-1cib1xd{--gradient-to:var(--table-odd-background-fill)}.button.svelte-1cib1xd.svelte-1cib1xd{--gradient-to:var(--background-fill-primary)}div.svelte-h6ogpl{width:var(--size-10);height:var(--size-10)}.table.svelte-h6ogpl{margin:0 auto}.gallery.svelte-1ayixqk{padding:var(--size-1) var(--size-2)}.gallery.svelte-zvfedn{padding:var(--size-2)}pre.svelte-agpzo2{text-align:left}.gallery.svelte-agpzo2{padding:var(--size-1) var(--size-2)}.wrap.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{display:inline-block;width:var(--size-full);max-width:var(--size-full);color:var(--body-text-color)}.hide.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{display:none}.label.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{display:flex;align-items:center;margin-bottom:var(--size-2);color:var(--block-label-text-color);font-weight:var(--block-label-text-weight);font-size:var(--block-label-text-size);line-height:var(--line-sm)}svg.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{margin-right:var(--size-1)}.gallery.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{display:flex;flex-wrap:wrap;gap:var(--spacing-lg)}.gallery-item.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{border:1px solid var(--border-color-primary);border-radius:var(--button-large-radius);overflow:hidden}.gallery-item.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno:hover{border-color:var(--border-color-accent);background:var(--table-row-focus)}.table-wrap.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{border:1px solid var(--border-color-primary);border-radius:var(--table-radius);width:var(--size-full);table-layout:auto;overflow-x:auto;line-height:var(--line-sm)}table.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{width:var(--size-full)}.tr-head.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{box-shadow:var(--shadow-drop-lg);border-bottom:1px solid var(--border-color-primary)}.tr-head.svelte-13hsdno>.svelte-13hsdno+.svelte-13hsdno{border-right-width:0px;border-left-width:1px;border-color:var(--border-color-primary)}th.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{padding:var(--size-2);white-space:nowrap}.tr-body.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{cursor:pointer;border-bottom:1px solid var(--border-color-primary);background:var(--table-even-background-fill)}.tr-body.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno:last-child{border:none}.tr-body.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno:nth-child(odd){background:var(--table-odd-background-fill)}.tr-body.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno:hover{background:var(--table-row-focus)}.tr-body.svelte-13hsdno>.svelte-13hsdno+.svelte-13hsdno{border-right-width:0px;border-left-width:1px;border-color:var(--border-color-primary)}.tr-body.svelte-13hsdno:hover>.svelte-13hsdno+.svelte-13hsdno{border-color:var(--border-color-accent)}td.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{padding:var(--size-2);text-align:center}.paginate.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{display:flex;justify-content:center;align-items:center;gap:var(--spacing-sm);margin-top:var(--size-2);color:var(--block-label-text-color);font-size:var(--text-sm)}button.current-page.svelte-13hsdno.svelte-13hsdno.svelte-13hsdno{font-weight:var(--weight-bold)}
diff --git a/spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/gradio/themes/utils/sizes.py b/spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/gradio/themes/utils/sizes.py
deleted file mode 100644
index 99ed6b1ce447d638448d4970bde5227eedd53835..0000000000000000000000000000000000000000
--- a/spaces/DQChoi/gpt-demo/venv/lib/python3.11/site-packages/gradio/themes/utils/sizes.py
+++ /dev/null
@@ -1,132 +0,0 @@
-from __future__ import annotations
-
-
-class Size:
-    all = []
-
-    def __init__(
-        self, xxs: str, xs: str, sm: str, md: str, lg: str, xl: str, xxl: str, name=None
-    ):
-        self.xxs = xxs
-        self.xs = xs
-        self.sm = sm
-        self.md = md
-        self.lg = lg
-        self.xl = xl
-        self.xxl = xxl
-        self.name = name
-        Size.all.append(self)
-
-    def expand(self) -> list[str]:
-        return [self.xxs, self.xs, self.sm, self.md, self.lg, self.xl, self.xxl]
-
-
-radius_none = Size(
-    name="radius_none",
-    xxs="0px",
-    xs="0px",
-    sm="0px",
-    md="0px",
-    lg="0px",
-    xl="0px",
-    xxl="0px",
-)
-
-radius_sm = Size(
-    name="radius_sm",
-    xxs="1px",
-    xs="1px",
-    sm="2px",
-    md="4px",
-    lg="6px",
-    xl="8px",
-    xxl="12px",
-)
-
-radius_md = Size(
-    name="radius_md",
-    xxs="1px",
-    xs="2px",
-    sm="4px",
-    md="6px",
-    lg="8px",
-    xl="12px",
-    xxl="22px",
-)
-
-radius_lg = Size(
-    name="radius_lg",
-    xxs="2px",
-    xs="4px",
-    sm="6px",
-    md="8px",
-    lg="12px",
-    xl="16px",
-    xxl="24px",
-)
-
-spacing_sm = Size(
-    name="spacing_sm",
-    xxs="1px",
-    xs="1px",
-    sm="2px",
-    md="4px",
-    lg="6px",
-    xl="9px",
-    xxl="12px",
-)
-
-spacing_md = Size(
-    name="spacing_md",
-    xxs="1px",
-    xs="2px",
-    sm="4px",
-    md="6px",
-    lg="8px",
-    xl="10px",
-    xxl="16px",
-)
-
-spacing_lg = Size(
-    name="spacing_lg",
-    xxs="2px",
-    xs="4px",
-    sm="6px",
-    md="8px",
-    lg="10px",
-    xl="14px",
-    xxl="28px",
-)
-
-text_sm = Size(
-    name="text_sm",
-    xxs="8px",
-    xs="9px",
-    sm="11px",
-    md="13px",
-    lg="16px",
-    xl="20px",
-    xxl="24px",
-)
-
-text_md = Size(
-    name="text_md",
-    xxs="9px",
-    xs="10px",
-    sm="12px",
-    md="14px",
-    lg="16px",
-    xl="22px",
-    xxl="26px",
-)
-
-text_lg = Size(
-    name="text_lg",
-    xxs="10px",
-    xs="12px",
-    sm="14px",
-    md="16px",
-    lg="20px",
-    xl="24px",
-    xxl="28px",
-)
diff --git a/spaces/Danielzero/GPT3.5/readme/README_en.md b/spaces/Danielzero/GPT3.5/readme/README_en.md
deleted file mode 100644
index a906ecb3ebc411f5cdeb33d661266a489a20c3b0..0000000000000000000000000000000000000000
--- a/spaces/Danielzero/GPT3.5/readme/README_en.md
+++ /dev/null
@@ -1,127 +0,0 @@
-<div align="right">
-  <!-- Language: -->
-  <a title="Chinese" href="../README.md">简体中文</a> | English | <a title="Japanese" href="README_ja.md">日本語</a>
-</div>
-
-<h1 align="center">川虎 Chat 🐯 Chuanhu Chat</h1>
-<div align="center">
-  <a href="https://github.com/GaiZhenBiao/ChuanhuChatGPT">
-    <img src="https://user-images.githubusercontent.com/70903329/227087087-93b37d64-7dc3-4738-a518-c1cf05591c8a.png" alt="Logo" height="156">
-  </a>
-
-<p align="center">
-    <h3>Lightweight and User-friendly Web-UI for LLMs including ChatGPT/ChatGLM/LLaMA</h3>
-    <p align="center">
-      <a href="https://github.com/GaiZhenbiao/ChuanhuChatGPT/blob/main/LICENSE">
-        <img alt="Tests Passing" src="https://img.shields.io/github/license/GaiZhenbiao/ChuanhuChatGPT" />
-      </a>
-      <a href="https://gradio.app/">
-        <img alt="GitHub Contributors" src="https://img.shields.io/badge/Base-Gradio-fb7d1a?style=flat" />
-      </a>
-      <a href="https://t.me/tkdifferent">
-        <img alt="GitHub pull requests" src="https://img.shields.io/badge/Telegram-Group-blue.svg?logo=telegram" />
-      </a>
-      <p>
-        Streaming / Unlimited conversations / Save history / Preset prompts / Chat with files / Web search <br />
-        LaTeX rendering / Table rendering / Code highlighting <br />
-        Auto dark mode / Adaptive web interface / WeChat-like theme <br />
-        Multi-parameters tuning / Multi-API-Key support / Multi-user support <br />
-        Compatible with GPT-4 / Local deployment for LLMs
-      </p>
-      <a href="https://www.youtube.com/watch?v=MtxS4XZWbJE"><strong>Video Tutorial</strong></a>
-        ·
-      <a href="https://www.youtube.com/watch?v=77nw7iimYDE"><strong>2.0 Introduction</strong></a>
-        ·
-      <a href="https://www.youtube.com/watch?v=x-O1jjBqgu4"><strong>3.0 Introduction & Tutorial</strong></a>
-	||
-      <a href="https://huggingface.co/spaces/JohnSmith9982/ChuanhuChatGPT"><strong>Online trial</strong></a>
-      	·
-      <a href="https://huggingface.co/login?next=%2Fspaces%2FJohnSmith9982%2FChuanhuChatGPT%3Fduplicate%3Dtrue"><strong>One-Click deployment</strong></a>
-    </p>
-    <p align="center">
-      <img alt="Animation Demo" src="https://user-images.githubusercontent.com/51039745/226255695-6b17ff1f-ea8d-464f-b69b-a7b6b68fffe8.gif" />
-    </p>
-  </p>
-</div>
-
-## Usage Tips
-
-- To better control the ChatGPT, use System Prompt.
-- To use a Prompt Template, select the Prompt Template Collection file first, and then choose certain prompt from the drop-down menu.
-- To try again if the response is unsatisfactory, use `🔄 Regenerate` button.
-- To start a new line in the input box, press <kbd>Shift</kbd> + <kbd>Enter</kbd> keys.
-- To quickly switch between input history, press <kbd>↑</kbd> and <kbd>↓</kbd> key in the input box.
-- To deploy the program onto a server, change the last line of the program to `demo.launch(server_name="0.0.0.0", server_port=<your port number>)`.
-- To get a public shared link, change the last line of the program to `demo.launch(share=True)`. Please be noted that the program must be running in order to be accessed via a public link.
-- To use it in Hugging Face Spaces: It is recommended to **Duplicate Space** and run the program in your own Space for a faster and more secure experience.
-
-## Installation
-
-```shell
-git clone https://github.com/GaiZhenbiao/ChuanhuChatGPT.git
-cd ChuanhuChatGPT
-pip install -r requirements.txt
-```
-
-Then make a copy of `config_example.json`, rename it to `config.json`, and then fill in your API-Key and other settings in the file.
-
-```shell
-python ChuanhuChatbot.py
-```
-
-A browser window will open and you will be able to chat with ChatGPT.
-
-> **Note**
->
-> Please check our [wiki page](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/使用教程) for detailed instructions.
-
-## Troubleshooting
-
-When you encounter problems, you should try manually pulling the latest changes of this project first. The steps are as follows:
-
-1. Download the latest code archive by clicking on `Download ZIP` on the webpage, or
-   ```shell
-   git pull https://github.com/GaiZhenbiao/ChuanhuChatGPT.git main -f
-   ```
-2. Try installing the dependencies again (as this project may have introduced new dependencies)
-   ```
-   pip install -r requirements.txt
-   ```
-3. Update Gradio
-   ```
-   pip install gradio --upgrade --force-reinstall
-   ```
-
-Generally, you can solve most problems by following these steps.
-
-If the problem still exists, please refer to this page: [Frequently Asked Questions (FAQ)](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/常见问题)
-
-This page lists almost all the possible problems and solutions. Please read it carefully.
-
-## More Information
-
-More information could be found in our [wiki](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki):
-
-- [How to contribute a translation](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/Localization)
-- [How to make a contribution](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/贡献指南)
-- [How to cite the project](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/使用许可#如何引用该项目)
-- [Project changelog](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/更新日志)
-- [Project license](https://github.com/GaiZhenbiao/ChuanhuChatGPT/wiki/使用许可)
-
-## Starchart
-
-[![Star History Chart](https://api.star-history.com/svg?repos=GaiZhenbiao/ChuanhuChatGPT&type=Date)](https://star-history.com/#GaiZhenbiao/ChuanhuChatGPT&Date)
-
-## Contributors
-
-<a href="https://github.com/GaiZhenbiao/ChuanhuChatGPT/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=GaiZhenbiao/ChuanhuChatGPT" />
-</a>
-
-## Sponsor
-
-🐯 If you find this project helpful, feel free to buy me a coke or a cup of coffee~
-
-<a href="https://www.buymeacoffee.com/ChuanhuChat" ><img src="https://img.buymeacoffee.com/button-api/?text=Buy me a coffee&emoji=&slug=ChuanhuChat&button_colour=219d53&font_colour=ffffff&font_family=Poppins&outline_colour=ffffff&coffee_colour=FFDD00" alt="Buy Me A Coffee" width="250"></a>
-
-<img width="250" alt="image" src="https://user-images.githubusercontent.com/51039745/226920291-e8ec0b0a-400f-4c20-ac13-dafac0c3aeeb.JPG">
diff --git a/spaces/DragGan/DragGan-Inversion/PTI/models/e4e/encoders/__init__.py b/spaces/DragGan/DragGan-Inversion/PTI/models/e4e/encoders/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/spaces/DragGan/DragGan-Inversion/stylegan_human/stylemixing_video.py b/spaces/DragGan/DragGan-Inversion/stylegan_human/stylemixing_video.py
deleted file mode 100644
index b917189ea0530163c5d3d61c17a78b92fcc99bb4..0000000000000000000000000000000000000000
--- a/spaces/DragGan/DragGan-Inversion/stylegan_human/stylemixing_video.py
+++ /dev/null
@@ -1,167 +0,0 @@
-
-# Copyright (c) SenseTime Research. All rights reserved.
-
-"""Here we demo style-mixing results using StyleGAN2 pretrained model.
-   Script reference: https://github.com/PDillis/stylegan2-fun """
-
-
-import moviepy.editor
-import argparse
-import legacy
-
-import scipy
-import numpy as np
-import PIL.Image
-
-import dnnlib
-import dnnlib.tflib as tflib
-from typing import List
-import re
-import sys
-import os
-import click
-import torch
-
-os.environ['PYGAME_HIDE_SUPPORT_PROMPT'] = "hide"
-
-
-"""
-Generate style mixing video. 
-Examples:
-
-\b
-python stylemixing_video.py --network=pretrained_models/stylegan_human_v2_1024.pkl --row-seed=3859 \\
-    --col-seeds=3098,31759,3791 --col-styles=8-12 --trunc=0.8 --outdir=outputs/stylemixing_video
-"""
-
-
-@click.command()
-@click.option('--network', 'network_pkl', help='Path to network pickle filename', required=True)
-@click.option('--row-seed', 'src_seed', type=legacy.num_range, help='Random seed to use for image source row', required=True)
-@click.option('--col-seeds', 'dst_seeds', type=legacy.num_range, help='Random seeds to use for image columns (style)', required=True)
-@click.option('--col-styles', 'col_styles', type=legacy.num_range, help='Style layer range (default: %(default)s)', default='0-6')
-@click.option('--only-stylemix', 'only_stylemix', help='Add flag to only show the style mxied images in the video', default=False)
-@click.option('--trunc', 'truncation_psi', type=float, help='Truncation psi (default: %(default)s)', default=1)
-@click.option('--duration-sec', 'duration_sec', type=float, help='Duration of video (default: %(default)s)', default=10)
-@click.option('--fps', 'mp4_fps', type=int, help='FPS of generated video (default: %(default)s)', default=10)
-@click.option('--indent-range', 'indent_range', type=int, default=30)
-@click.option('--outdir', help='Root directory for run results (default: %(default)s)', default='outputs/stylemixing_video', metavar='DIR')
-def style_mixing_video(network_pkl: str,
-                       # Seed of the source image style (row)
-                       src_seed: List[int],
-                       # Seeds of the destination image styles (columns)
-                       dst_seeds: List[int],
-                       # Styles to transfer from first row to first column
-                       col_styles: List[int],
-                       truncation_psi=float,
-                       # True if user wishes to show only thre style transferred result
-                       only_stylemix=bool,
-                       duration_sec=float,
-                       smoothing_sec=1.0,
-                       mp4_fps=int,
-                       mp4_codec="libx264",
-                       mp4_bitrate="16M",
-                       minibatch_size=8,
-                       noise_mode='const',
-                       indent_range=int,
-                       outdir=str):
-    # Calculate the number of frames:
-    print('col_seeds: ', dst_seeds)
-    num_frames = int(np.rint(duration_sec * mp4_fps))
-    print('Loading networks from "%s"...' % network_pkl)
-    device = torch.device('cuda')
-    with dnnlib.util.open_url(network_pkl) as f:
-        Gs = legacy.load_network_pkl(f)['G_ema'].to(device)
-
-    print(Gs.num_ws, Gs.w_dim, Gs.img_resolution)
-    max_style = int(2 * np.log2(Gs.img_resolution)) - 3
-    assert max(
-        col_styles) <= max_style, f"Maximum col-style allowed: {max_style}"
-
-    # Left col latents
-    print('Generating Source W vectors...')
-    src_shape = [num_frames] + [Gs.z_dim]
-    src_z = np.random.RandomState(
-        *src_seed).randn(*src_shape).astype(np.float32)  # [frames, src, component]
-    src_z = scipy.ndimage.gaussian_filter(
-        src_z, [smoothing_sec * mp4_fps] + [0] * (2 - 1), mode="wrap")
-    src_z /= np.sqrt(np.mean(np.square(src_z)))
-    # Map into the detangled latent space W and do truncation trick
-    src_w = Gs.mapping(torch.from_numpy(src_z).to(device), None)
-    w_avg = Gs.mapping.w_avg
-    src_w = w_avg + (src_w - w_avg) * truncation_psi
-
-    # Top row latents (fixed reference)
-    print('Generating Destination W vectors...')
-    dst_z = np.stack([np.random.RandomState(seed).randn(Gs.z_dim)
-                     for seed in dst_seeds])
-    dst_w = Gs.mapping(torch.from_numpy(dst_z).to(device), None)
-    dst_w = w_avg + (dst_w - w_avg) * truncation_psi
-    # Get the width and height of each image:
-    H = Gs.img_resolution       # 1024
-    W = Gs.img_resolution//2    # 512
-
-    # Generate ALL the source images:
-    src_images = Gs.synthesis(src_w, noise_mode=noise_mode)
-    src_images = (src_images.permute(0, 2, 3, 1) * 127.5 +
-                  128).clamp(0, 255).to(torch.uint8)
-
-    # Generate the column images:
-    dst_images = Gs.synthesis(dst_w, noise_mode=noise_mode)
-    dst_images = (dst_images.permute(0, 2, 3, 1) * 127.5 +
-                  128).clamp(0, 255).to(torch.uint8)
-
-    print('Generating full video (including source and destination images)')
-    # Generate our canvas where we will paste all the generated images:
-    canvas = PIL.Image.new("RGB", ((
-        W-indent_range) * (len(dst_seeds) + 1), H * (len(src_seed) + 1)), "white")  # W, H
-
-    # dst_image:[3,1024,512]
-    for col, dst_image in enumerate(list(dst_images)):
-        canvas.paste(PIL.Image.fromarray(dst_image.cpu().numpy(),
-                     "RGB"), ((col + 1) * (W-indent_range), 0))  # H
-    # Aux functions: Frame generation func for moviepy.
-
-    def make_frame(t):
-        # Get the frame number according to time t:
-        frame_idx = int(np.clip(np.round(t * mp4_fps), 0, num_frames - 1))
-        # We wish the image belonging to the frame at time t:
-        src_image = src_images[frame_idx]  # always in the same place
-        canvas.paste(PIL.Image.fromarray(src_image.cpu().numpy(), "RGB"),
-                     (0-indent_range, H))  # Paste it to the lower left
-
-        # Now, for each of the column images:
-        for col, dst_image in enumerate(list(dst_images)):
-            # Select the pertinent latent w column:
-            w_col = np.stack([dst_w[col].cpu()])  # [18, 512] -> [1, 18, 512]
-            w_col = torch.from_numpy(w_col).to(device)
-            # Replace the values defined by col_styles:
-            w_col[:, col_styles] = src_w[frame_idx, col_styles]  # .cpu()
-            # Generate these synthesized images:
-            col_images = Gs.synthesis(w_col, noise_mode=noise_mode)
-            col_images = (col_images.permute(0, 2, 3, 1) *
-                          127.5 + 128).clamp(0, 255).to(torch.uint8)
-            # Paste them in their respective spot:
-            for row, image in enumerate(list(col_images)):
-                canvas.paste(
-                    PIL.Image.fromarray(image.cpu().numpy(), "RGB"),
-                    ((col + 1) * (W - indent_range), (row + 1) * H),
-                )
-        return np.array(canvas)
-
-    # Generate video using make_frame:
-    print('Generating style-mixed video...')
-    videoclip = moviepy.editor.VideoClip(make_frame, duration=duration_sec)
-    grid_size = [len(dst_seeds), len(src_seed)]
-    mp4 = "{}x{}-style-mixing_{}_{}.mp4".format(
-        *grid_size, min(col_styles), max(col_styles))
-    if not os.path.exists(outdir):
-        os.makedirs(outdir)
-    videoclip.write_videofile(os.path.join(outdir, mp4),
-                              fps=mp4_fps,
-                              codec=mp4_codec,
-                              bitrate=mp4_bitrate)
-
-
-if __name__ == "__main__":
-    style_mixing_video()
diff --git a/spaces/EuroPython2022/mmocr-demo/configs/_base_/schedules/schedule_adam_step_12e.py b/spaces/EuroPython2022/mmocr-demo/configs/_base_/schedules/schedule_adam_step_12e.py
deleted file mode 100644
index c92289d3b7a69015afc51c9a248744bae5ec9197..0000000000000000000000000000000000000000
--- a/spaces/EuroPython2022/mmocr-demo/configs/_base_/schedules/schedule_adam_step_12e.py
+++ /dev/null
@@ -1,12 +0,0 @@
-# optimizer
-optimizer = dict(type='Adam', lr=4e-4)
-optimizer_config = dict(grad_clip=None)
-# learning policy
-lr_config = dict(
-    policy='step',
-    warmup='linear',
-    warmup_iters=100,
-    warmup_ratio=1.0 / 3,
-    step=[11])
-runner = dict(type='EpochBasedRunner', max_epochs=12)
-checkpoint_config = dict(interval=1)
diff --git a/spaces/FahadAlam/Speaker-Diarization/README.md b/spaces/FahadAlam/Speaker-Diarization/README.md
deleted file mode 100644
index df9fd2c121d377ff5f6712d15a6402608f41ddde..0000000000000000000000000000000000000000
--- a/spaces/FahadAlam/Speaker-Diarization/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: Speaker Diarization
-emoji: 🚀
-colorFrom: green
-colorTo: purple
-sdk: gradio
-sdk_version: 3.4
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/Froleptan/stablediffusion-infinity/PyPatchMatch/csrc/masked_image.cpp b/spaces/Froleptan/stablediffusion-infinity/PyPatchMatch/csrc/masked_image.cpp
deleted file mode 100644
index 448a776b3cda9f39f4dd0ad908f1b135c647ca8f..0000000000000000000000000000000000000000
--- a/spaces/Froleptan/stablediffusion-infinity/PyPatchMatch/csrc/masked_image.cpp
+++ /dev/null
@@ -1,138 +0,0 @@
-#include "masked_image.h"
-#include <algorithm>
-#include <iostream>
-
-const cv::Size MaskedImage::kDownsampleKernelSize = cv::Size(6, 6);
-const int MaskedImage::kDownsampleKernel[6] = {1, 5, 10, 10, 5, 1};
-
-bool MaskedImage::contains_mask(int y, int x, int patch_size) const {
-    auto mask_size = size();
-    for (int dy = -patch_size; dy <= patch_size; ++dy) {
-        for (int dx = -patch_size; dx <= patch_size; ++dx) {
-            int yy = y + dy, xx = x + dx;
-            if (yy >= 0 && yy < mask_size.height && xx >= 0 && xx < mask_size.width) {
-                if (is_masked(yy, xx) && !is_globally_masked(yy, xx)) return true;
-            }
-        }
-    }
-    return false;
-}
-
-MaskedImage MaskedImage::downsample() const {
-    const auto &kernel_size = MaskedImage::kDownsampleKernelSize;
-    const auto &kernel = MaskedImage::kDownsampleKernel;
-
-    const auto size = this->size();
-    const auto new_size = cv::Size(size.width / 2, size.height / 2);
-
-    auto ret = MaskedImage(new_size.width, new_size.height);
-    if (!m_global_mask.empty()) ret.init_global_mask_mat();
-    for (int y = 0; y < size.height - 1; y += 2) {
-        for (int x = 0; x < size.width - 1; x += 2) {
-            int r = 0, g = 0, b = 0, ksum = 0;
-            bool is_gmasked = true;
-
-            for (int dy = -kernel_size.height / 2 + 1; dy <= kernel_size.height / 2; ++dy) {
-                for (int dx = -kernel_size.width / 2 + 1; dx <= kernel_size.width / 2; ++dx) {
-                    int yy = y + dy, xx = x + dx;
-                    if (yy >= 0 && yy < size.height && xx >= 0 && xx < size.width) {
-                        if (!is_globally_masked(yy, xx)) {
-                            is_gmasked = false;
-                        }
-                        if (!is_masked(yy, xx)) {
-                            auto source_ptr = get_image(yy, xx);
-                            int k = kernel[kernel_size.height / 2 - 1 + dy] * kernel[kernel_size.width / 2 - 1 + dx];
-                            r += source_ptr[0] * k, g += source_ptr[1] * k, b += source_ptr[2] * k;
-                            ksum += k;
-                        }
-                    }
-                }
-            }
-
-            if (ksum > 0) r /= ksum, g /= ksum, b /= ksum;
-
-            if (!m_global_mask.empty()) {
-                ret.set_global_mask(y / 2, x / 2, is_gmasked);
-            }
-            if (ksum > 0) {
-                auto target_ptr = ret.get_mutable_image(y / 2, x / 2);
-                target_ptr[0] = r, target_ptr[1] = g, target_ptr[2] = b;
-                ret.set_mask(y / 2, x / 2, 0);
-            } else {
-                ret.set_mask(y / 2, x / 2, 1);
-            }
-        }
-    }
-
-    return ret;
-}
-
-MaskedImage MaskedImage::upsample(int new_w, int new_h) const {
-    const auto size = this->size();
-    auto ret = MaskedImage(new_w, new_h);
-    if (!m_global_mask.empty()) ret.init_global_mask_mat();
-    for (int y = 0; y < new_h; ++y) {
-        for (int x = 0; x < new_w; ++x) {
-            int yy = y * size.height / new_h;
-            int xx = x * size.width / new_w;
-
-            if (is_globally_masked(yy, xx)) {
-                ret.set_global_mask(y, x, 1);
-                ret.set_mask(y, x, 1);
-            } else {
-                if (!m_global_mask.empty()) ret.set_global_mask(y, x, 0);
-
-                if (is_masked(yy, xx)) {
-                    ret.set_mask(y, x, 1);
-                } else {
-                    auto source_ptr = get_image(yy, xx);
-                    auto target_ptr = ret.get_mutable_image(y, x);
-                    for (int c = 0; c < 3; ++c)
-                        target_ptr[c] = source_ptr[c];
-                    ret.set_mask(y, x, 0);
-                }
-            }
-        }
-    }
-
-    return ret;
-}
-
-MaskedImage MaskedImage::upsample(int new_w, int new_h, const cv::Mat &new_global_mask) const {
-    auto ret = upsample(new_w, new_h);
-    ret.set_global_mask_mat(new_global_mask);
-    return ret;
-}
-
-void MaskedImage::compute_image_gradients() {
-    if (m_image_grad_computed) {
-        return;
-    }
-
-    const auto size = m_image.size();
-    m_image_grady = cv::Mat(size, CV_8UC3);
-    m_image_gradx = cv::Mat(size, CV_8UC3);
-    m_image_grady = cv::Scalar::all(0);
-    m_image_gradx = cv::Scalar::all(0);
-
-    for (int i = 1; i < size.height - 1; ++i) {
-        const auto *ptr = m_image.ptr<unsigned char>(i, 0);
-        const auto *ptry1 = m_image.ptr<unsigned char>(i + 1, 0);
-        const auto *ptry2 = m_image.ptr<unsigned char>(i - 1, 0);
-        const auto *ptrx1 = m_image.ptr<unsigned char>(i, 0) + 3;
-        const auto *ptrx2 = m_image.ptr<unsigned char>(i, 0) - 3;
-        auto *mptry = m_image_grady.ptr<unsigned char>(i, 0);
-        auto *mptrx = m_image_gradx.ptr<unsigned char>(i, 0);
-        for (int j = 3; j < size.width * 3 - 3; ++j) {
-            mptry[j] = (ptry1[j] / 2 - ptry2[j] / 2) + 128;
-            mptrx[j] = (ptrx1[j] / 2 - ptrx2[j] / 2) + 128;
-        }
-    }
-
-    m_image_grad_computed = true;
-}
-
-void MaskedImage::compute_image_gradients() const {
-    const_cast<MaskedImage *>(this)->compute_image_gradients();
-}
-
diff --git a/spaces/Froleptan/stablediffusion-infinity/convert_checkpoint.py b/spaces/Froleptan/stablediffusion-infinity/convert_checkpoint.py
deleted file mode 100644
index 34efcf1ab17190b8b140f02e9ff3451daf2c6f9e..0000000000000000000000000000000000000000
--- a/spaces/Froleptan/stablediffusion-infinity/convert_checkpoint.py
+++ /dev/null
@@ -1,706 +0,0 @@
-# coding=utf-8
-# Copyright 2022 The HuggingFace Inc. team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# https://github.com/huggingface/diffusers/blob/main/scripts/convert_original_stable_diffusion_to_diffusers.py
-""" Conversion script for the LDM checkpoints. """
-
-import argparse
-import os
-
-import torch
-
-
-try:
-    from omegaconf import OmegaConf
-except ImportError:
-    raise ImportError(
-        "OmegaConf is required to convert the LDM checkpoints. Please install it with `pip install OmegaConf`."
-    )
-
-from diffusers import (
-    AutoencoderKL,
-    DDIMScheduler,
-    LDMTextToImagePipeline,
-    LMSDiscreteScheduler,
-    PNDMScheduler,
-    StableDiffusionPipeline,
-    UNet2DConditionModel,
-)
-from diffusers.pipelines.latent_diffusion.pipeline_latent_diffusion import LDMBertConfig, LDMBertModel
-from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker
-from transformers import AutoFeatureExtractor, BertTokenizerFast, CLIPTextModel, CLIPTokenizer
-
-
-def shave_segments(path, n_shave_prefix_segments=1):
-    """
-    Removes segments. Positive values shave the first segments, negative shave the last segments.
-    """
-    if n_shave_prefix_segments >= 0:
-        return ".".join(path.split(".")[n_shave_prefix_segments:])
-    else:
-        return ".".join(path.split(".")[:n_shave_prefix_segments])
-
-
-def renew_resnet_paths(old_list, n_shave_prefix_segments=0):
-    """
-    Updates paths inside resnets to the new naming scheme (local renaming)
-    """
-    mapping = []
-    for old_item in old_list:
-        new_item = old_item.replace("in_layers.0", "norm1")
-        new_item = new_item.replace("in_layers.2", "conv1")
-
-        new_item = new_item.replace("out_layers.0", "norm2")
-        new_item = new_item.replace("out_layers.3", "conv2")
-
-        new_item = new_item.replace("emb_layers.1", "time_emb_proj")
-        new_item = new_item.replace("skip_connection", "conv_shortcut")
-
-        new_item = shave_segments(new_item, n_shave_prefix_segments=n_shave_prefix_segments)
-
-        mapping.append({"old": old_item, "new": new_item})
-
-    return mapping
-
-
-def renew_vae_resnet_paths(old_list, n_shave_prefix_segments=0):
-    """
-    Updates paths inside resnets to the new naming scheme (local renaming)
-    """
-    mapping = []
-    for old_item in old_list:
-        new_item = old_item
-
-        new_item = new_item.replace("nin_shortcut", "conv_shortcut")
-        new_item = shave_segments(new_item, n_shave_prefix_segments=n_shave_prefix_segments)
-
-        mapping.append({"old": old_item, "new": new_item})
-
-    return mapping
-
-
-def renew_attention_paths(old_list, n_shave_prefix_segments=0):
-    """
-    Updates paths inside attentions to the new naming scheme (local renaming)
-    """
-    mapping = []
-    for old_item in old_list:
-        new_item = old_item
-
-        #         new_item = new_item.replace('norm.weight', 'group_norm.weight')
-        #         new_item = new_item.replace('norm.bias', 'group_norm.bias')
-
-        #         new_item = new_item.replace('proj_out.weight', 'proj_attn.weight')
-        #         new_item = new_item.replace('proj_out.bias', 'proj_attn.bias')
-
-        #         new_item = shave_segments(new_item, n_shave_prefix_segments=n_shave_prefix_segments)
-
-        mapping.append({"old": old_item, "new": new_item})
-
-    return mapping
-
-
-def renew_vae_attention_paths(old_list, n_shave_prefix_segments=0):
-    """
-    Updates paths inside attentions to the new naming scheme (local renaming)
-    """
-    mapping = []
-    for old_item in old_list:
-        new_item = old_item
-
-        new_item = new_item.replace("norm.weight", "group_norm.weight")
-        new_item = new_item.replace("norm.bias", "group_norm.bias")
-
-        new_item = new_item.replace("q.weight", "query.weight")
-        new_item = new_item.replace("q.bias", "query.bias")
-
-        new_item = new_item.replace("k.weight", "key.weight")
-        new_item = new_item.replace("k.bias", "key.bias")
-
-        new_item = new_item.replace("v.weight", "value.weight")
-        new_item = new_item.replace("v.bias", "value.bias")
-
-        new_item = new_item.replace("proj_out.weight", "proj_attn.weight")
-        new_item = new_item.replace("proj_out.bias", "proj_attn.bias")
-
-        new_item = shave_segments(new_item, n_shave_prefix_segments=n_shave_prefix_segments)
-
-        mapping.append({"old": old_item, "new": new_item})
-
-    return mapping
-
-
-def assign_to_checkpoint(
-    paths, checkpoint, old_checkpoint, attention_paths_to_split=None, additional_replacements=None, config=None
-):
-    """
-    This does the final conversion step: take locally converted weights and apply a global renaming
-    to them. It splits attention layers, and takes into account additional replacements
-    that may arise.
-
-    Assigns the weights to the new checkpoint.
-    """
-    assert isinstance(paths, list), "Paths should be a list of dicts containing 'old' and 'new' keys."
-
-    # Splits the attention layers into three variables.
-    if attention_paths_to_split is not None:
-        for path, path_map in attention_paths_to_split.items():
-            old_tensor = old_checkpoint[path]
-            channels = old_tensor.shape[0] // 3
-
-            target_shape = (-1, channels) if len(old_tensor.shape) == 3 else (-1)
-
-            num_heads = old_tensor.shape[0] // config["num_head_channels"] // 3
-
-            old_tensor = old_tensor.reshape((num_heads, 3 * channels // num_heads) + old_tensor.shape[1:])
-            query, key, value = old_tensor.split(channels // num_heads, dim=1)
-
-            checkpoint[path_map["query"]] = query.reshape(target_shape)
-            checkpoint[path_map["key"]] = key.reshape(target_shape)
-            checkpoint[path_map["value"]] = value.reshape(target_shape)
-
-    for path in paths:
-        new_path = path["new"]
-
-        # These have already been assigned
-        if attention_paths_to_split is not None and new_path in attention_paths_to_split:
-            continue
-
-        # Global renaming happens here
-        new_path = new_path.replace("middle_block.0", "mid_block.resnets.0")
-        new_path = new_path.replace("middle_block.1", "mid_block.attentions.0")
-        new_path = new_path.replace("middle_block.2", "mid_block.resnets.1")
-
-        if additional_replacements is not None:
-            for replacement in additional_replacements:
-                new_path = new_path.replace(replacement["old"], replacement["new"])
-
-        # proj_attn.weight has to be converted from conv 1D to linear
-        if "proj_attn.weight" in new_path:
-            checkpoint[new_path] = old_checkpoint[path["old"]][:, :, 0]
-        else:
-            checkpoint[new_path] = old_checkpoint[path["old"]]
-
-
-def conv_attn_to_linear(checkpoint):
-    keys = list(checkpoint.keys())
-    attn_keys = ["query.weight", "key.weight", "value.weight"]
-    for key in keys:
-        if ".".join(key.split(".")[-2:]) in attn_keys:
-            if checkpoint[key].ndim > 2:
-                checkpoint[key] = checkpoint[key][:, :, 0, 0]
-        elif "proj_attn.weight" in key:
-            if checkpoint[key].ndim > 2:
-                checkpoint[key] = checkpoint[key][:, :, 0]
-
-
-def create_unet_diffusers_config(original_config):
-    """
-    Creates a config for the diffusers based on the config of the LDM model.
-    """
-    unet_params = original_config.model.params.unet_config.params
-
-    block_out_channels = [unet_params.model_channels * mult for mult in unet_params.channel_mult]
-
-    down_block_types = []
-    resolution = 1
-    for i in range(len(block_out_channels)):
-        block_type = "CrossAttnDownBlock2D" if resolution in unet_params.attention_resolutions else "DownBlock2D"
-        down_block_types.append(block_type)
-        if i != len(block_out_channels) - 1:
-            resolution *= 2
-
-    up_block_types = []
-    for i in range(len(block_out_channels)):
-        block_type = "CrossAttnUpBlock2D" if resolution in unet_params.attention_resolutions else "UpBlock2D"
-        up_block_types.append(block_type)
-        resolution //= 2
-
-    config = dict(
-        sample_size=unet_params.image_size,
-        in_channels=unet_params.in_channels,
-        out_channels=unet_params.out_channels,
-        down_block_types=tuple(down_block_types),
-        up_block_types=tuple(up_block_types),
-        block_out_channels=tuple(block_out_channels),
-        layers_per_block=unet_params.num_res_blocks,
-        cross_attention_dim=unet_params.context_dim,
-        attention_head_dim=unet_params.num_heads,
-    )
-
-    return config
-
-
-def create_vae_diffusers_config(original_config):
-    """
-    Creates a config for the diffusers based on the config of the LDM model.
-    """
-    vae_params = original_config.model.params.first_stage_config.params.ddconfig
-    _ = original_config.model.params.first_stage_config.params.embed_dim
-
-    block_out_channels = [vae_params.ch * mult for mult in vae_params.ch_mult]
-    down_block_types = ["DownEncoderBlock2D"] * len(block_out_channels)
-    up_block_types = ["UpDecoderBlock2D"] * len(block_out_channels)
-
-    config = dict(
-        sample_size=vae_params.resolution,
-        in_channels=vae_params.in_channels,
-        out_channels=vae_params.out_ch,
-        down_block_types=tuple(down_block_types),
-        up_block_types=tuple(up_block_types),
-        block_out_channels=tuple(block_out_channels),
-        latent_channels=vae_params.z_channels,
-        layers_per_block=vae_params.num_res_blocks,
-    )
-    return config
-
-
-def create_diffusers_schedular(original_config):
-    schedular = DDIMScheduler(
-        num_train_timesteps=original_config.model.params.timesteps,
-        beta_start=original_config.model.params.linear_start,
-        beta_end=original_config.model.params.linear_end,
-        beta_schedule="scaled_linear",
-    )
-    return schedular
-
-
-def create_ldm_bert_config(original_config):
-    bert_params = original_config.model.parms.cond_stage_config.params
-    config = LDMBertConfig(
-        d_model=bert_params.n_embed,
-        encoder_layers=bert_params.n_layer,
-        encoder_ffn_dim=bert_params.n_embed * 4,
-    )
-    return config
-
-
-def convert_ldm_unet_checkpoint(checkpoint, config):
-    """
-    Takes a state dict and a config, and returns a converted checkpoint.
-    """
-
-    # extract state_dict for UNet
-    unet_state_dict = {}
-    unet_key = "model.diffusion_model."
-    keys = list(checkpoint.keys())
-    for key in keys:
-        if key.startswith(unet_key):
-            unet_state_dict[key.replace(unet_key, "")] = checkpoint.pop(key)
-
-    new_checkpoint = {}
-
-    new_checkpoint["time_embedding.linear_1.weight"] = unet_state_dict["time_embed.0.weight"]
-    new_checkpoint["time_embedding.linear_1.bias"] = unet_state_dict["time_embed.0.bias"]
-    new_checkpoint["time_embedding.linear_2.weight"] = unet_state_dict["time_embed.2.weight"]
-    new_checkpoint["time_embedding.linear_2.bias"] = unet_state_dict["time_embed.2.bias"]
-
-    new_checkpoint["conv_in.weight"] = unet_state_dict["input_blocks.0.0.weight"]
-    new_checkpoint["conv_in.bias"] = unet_state_dict["input_blocks.0.0.bias"]
-
-    new_checkpoint["conv_norm_out.weight"] = unet_state_dict["out.0.weight"]
-    new_checkpoint["conv_norm_out.bias"] = unet_state_dict["out.0.bias"]
-    new_checkpoint["conv_out.weight"] = unet_state_dict["out.2.weight"]
-    new_checkpoint["conv_out.bias"] = unet_state_dict["out.2.bias"]
-
-    # Retrieves the keys for the input blocks only
-    num_input_blocks = len({".".join(layer.split(".")[:2]) for layer in unet_state_dict if "input_blocks" in layer})
-    input_blocks = {
-        layer_id: [key for key in unet_state_dict if f"input_blocks.{layer_id}" in key]
-        for layer_id in range(num_input_blocks)
-    }
-
-    # Retrieves the keys for the middle blocks only
-    num_middle_blocks = len({".".join(layer.split(".")[:2]) for layer in unet_state_dict if "middle_block" in layer})
-    middle_blocks = {
-        layer_id: [key for key in unet_state_dict if f"middle_block.{layer_id}" in key]
-        for layer_id in range(num_middle_blocks)
-    }
-
-    # Retrieves the keys for the output blocks only
-    num_output_blocks = len({".".join(layer.split(".")[:2]) for layer in unet_state_dict if "output_blocks" in layer})
-    output_blocks = {
-        layer_id: [key for key in unet_state_dict if f"output_blocks.{layer_id}" in key]
-        for layer_id in range(num_output_blocks)
-    }
-
-    for i in range(1, num_input_blocks):
-        block_id = (i - 1) // (config["layers_per_block"] + 1)
-        layer_in_block_id = (i - 1) % (config["layers_per_block"] + 1)
-
-        resnets = [
-            key for key in input_blocks[i] if f"input_blocks.{i}.0" in key and f"input_blocks.{i}.0.op" not in key
-        ]
-        attentions = [key for key in input_blocks[i] if f"input_blocks.{i}.1" in key]
-
-        if f"input_blocks.{i}.0.op.weight" in unet_state_dict:
-            new_checkpoint[f"down_blocks.{block_id}.downsamplers.0.conv.weight"] = unet_state_dict.pop(
-                f"input_blocks.{i}.0.op.weight"
-            )
-            new_checkpoint[f"down_blocks.{block_id}.downsamplers.0.conv.bias"] = unet_state_dict.pop(
-                f"input_blocks.{i}.0.op.bias"
-            )
-
-        paths = renew_resnet_paths(resnets)
-        meta_path = {"old": f"input_blocks.{i}.0", "new": f"down_blocks.{block_id}.resnets.{layer_in_block_id}"}
-        assign_to_checkpoint(
-            paths, new_checkpoint, unet_state_dict, additional_replacements=[meta_path], config=config
-        )
-
-        if len(attentions):
-            paths = renew_attention_paths(attentions)
-            meta_path = {"old": f"input_blocks.{i}.1", "new": f"down_blocks.{block_id}.attentions.{layer_in_block_id}"}
-            assign_to_checkpoint(
-                paths, new_checkpoint, unet_state_dict, additional_replacements=[meta_path], config=config
-            )
-
-    resnet_0 = middle_blocks[0]
-    attentions = middle_blocks[1]
-    resnet_1 = middle_blocks[2]
-
-    resnet_0_paths = renew_resnet_paths(resnet_0)
-    assign_to_checkpoint(resnet_0_paths, new_checkpoint, unet_state_dict, config=config)
-
-    resnet_1_paths = renew_resnet_paths(resnet_1)
-    assign_to_checkpoint(resnet_1_paths, new_checkpoint, unet_state_dict, config=config)
-
-    attentions_paths = renew_attention_paths(attentions)
-    meta_path = {"old": "middle_block.1", "new": "mid_block.attentions.0"}
-    assign_to_checkpoint(
-        attentions_paths, new_checkpoint, unet_state_dict, additional_replacements=[meta_path], config=config
-    )
-
-    for i in range(num_output_blocks):
-        block_id = i // (config["layers_per_block"] + 1)
-        layer_in_block_id = i % (config["layers_per_block"] + 1)
-        output_block_layers = [shave_segments(name, 2) for name in output_blocks[i]]
-        output_block_list = {}
-
-        for layer in output_block_layers:
-            layer_id, layer_name = layer.split(".")[0], shave_segments(layer, 1)
-            if layer_id in output_block_list:
-                output_block_list[layer_id].append(layer_name)
-            else:
-                output_block_list[layer_id] = [layer_name]
-
-        if len(output_block_list) > 1:
-            resnets = [key for key in output_blocks[i] if f"output_blocks.{i}.0" in key]
-            attentions = [key for key in output_blocks[i] if f"output_blocks.{i}.1" in key]
-
-            resnet_0_paths = renew_resnet_paths(resnets)
-            paths = renew_resnet_paths(resnets)
-
-            meta_path = {"old": f"output_blocks.{i}.0", "new": f"up_blocks.{block_id}.resnets.{layer_in_block_id}"}
-            assign_to_checkpoint(
-                paths, new_checkpoint, unet_state_dict, additional_replacements=[meta_path], config=config
-            )
-
-            if ["conv.weight", "conv.bias"] in output_block_list.values():
-                index = list(output_block_list.values()).index(["conv.weight", "conv.bias"])
-                new_checkpoint[f"up_blocks.{block_id}.upsamplers.0.conv.weight"] = unet_state_dict[
-                    f"output_blocks.{i}.{index}.conv.weight"
-                ]
-                new_checkpoint[f"up_blocks.{block_id}.upsamplers.0.conv.bias"] = unet_state_dict[
-                    f"output_blocks.{i}.{index}.conv.bias"
-                ]
-
-                # Clear attentions as they have been attributed above.
-                if len(attentions) == 2:
-                    attentions = []
-
-            if len(attentions):
-                paths = renew_attention_paths(attentions)
-                meta_path = {
-                    "old": f"output_blocks.{i}.1",
-                    "new": f"up_blocks.{block_id}.attentions.{layer_in_block_id}",
-                }
-                assign_to_checkpoint(
-                    paths, new_checkpoint, unet_state_dict, additional_replacements=[meta_path], config=config
-                )
-        else:
-            resnet_0_paths = renew_resnet_paths(output_block_layers, n_shave_prefix_segments=1)
-            for path in resnet_0_paths:
-                old_path = ".".join(["output_blocks", str(i), path["old"]])
-                new_path = ".".join(["up_blocks", str(block_id), "resnets", str(layer_in_block_id), path["new"]])
-
-                new_checkpoint[new_path] = unet_state_dict[old_path]
-
-    return new_checkpoint
-
-
-def convert_ldm_vae_checkpoint(checkpoint, config):
-    # extract state dict for VAE
-    vae_state_dict = {}
-    vae_key = "first_stage_model."
-    keys = list(checkpoint.keys())
-    for key in keys:
-        if key.startswith(vae_key):
-            vae_state_dict[key.replace(vae_key, "")] = checkpoint.get(key)
-
-    new_checkpoint = {}
-
-    new_checkpoint["encoder.conv_in.weight"] = vae_state_dict["encoder.conv_in.weight"]
-    new_checkpoint["encoder.conv_in.bias"] = vae_state_dict["encoder.conv_in.bias"]
-    new_checkpoint["encoder.conv_out.weight"] = vae_state_dict["encoder.conv_out.weight"]
-    new_checkpoint["encoder.conv_out.bias"] = vae_state_dict["encoder.conv_out.bias"]
-    new_checkpoint["encoder.conv_norm_out.weight"] = vae_state_dict["encoder.norm_out.weight"]
-    new_checkpoint["encoder.conv_norm_out.bias"] = vae_state_dict["encoder.norm_out.bias"]
-
-    new_checkpoint["decoder.conv_in.weight"] = vae_state_dict["decoder.conv_in.weight"]
-    new_checkpoint["decoder.conv_in.bias"] = vae_state_dict["decoder.conv_in.bias"]
-    new_checkpoint["decoder.conv_out.weight"] = vae_state_dict["decoder.conv_out.weight"]
-    new_checkpoint["decoder.conv_out.bias"] = vae_state_dict["decoder.conv_out.bias"]
-    new_checkpoint["decoder.conv_norm_out.weight"] = vae_state_dict["decoder.norm_out.weight"]
-    new_checkpoint["decoder.conv_norm_out.bias"] = vae_state_dict["decoder.norm_out.bias"]
-
-    new_checkpoint["quant_conv.weight"] = vae_state_dict["quant_conv.weight"]
-    new_checkpoint["quant_conv.bias"] = vae_state_dict["quant_conv.bias"]
-    new_checkpoint["post_quant_conv.weight"] = vae_state_dict["post_quant_conv.weight"]
-    new_checkpoint["post_quant_conv.bias"] = vae_state_dict["post_quant_conv.bias"]
-
-    # Retrieves the keys for the encoder down blocks only
-    num_down_blocks = len({".".join(layer.split(".")[:3]) for layer in vae_state_dict if "encoder.down" in layer})
-    down_blocks = {
-        layer_id: [key for key in vae_state_dict if f"down.{layer_id}" in key] for layer_id in range(num_down_blocks)
-    }
-
-    # Retrieves the keys for the decoder up blocks only
-    num_up_blocks = len({".".join(layer.split(".")[:3]) for layer in vae_state_dict if "decoder.up" in layer})
-    up_blocks = {
-        layer_id: [key for key in vae_state_dict if f"up.{layer_id}" in key] for layer_id in range(num_up_blocks)
-    }
-
-    for i in range(num_down_blocks):
-        resnets = [key for key in down_blocks[i] if f"down.{i}" in key and f"down.{i}.downsample" not in key]
-
-        if f"encoder.down.{i}.downsample.conv.weight" in vae_state_dict:
-            new_checkpoint[f"encoder.down_blocks.{i}.downsamplers.0.conv.weight"] = vae_state_dict.pop(
-                f"encoder.down.{i}.downsample.conv.weight"
-            )
-            new_checkpoint[f"encoder.down_blocks.{i}.downsamplers.0.conv.bias"] = vae_state_dict.pop(
-                f"encoder.down.{i}.downsample.conv.bias"
-            )
-
-        paths = renew_vae_resnet_paths(resnets)
-        meta_path = {"old": f"down.{i}.block", "new": f"down_blocks.{i}.resnets"}
-        assign_to_checkpoint(paths, new_checkpoint, vae_state_dict, additional_replacements=[meta_path], config=config)
-
-    mid_resnets = [key for key in vae_state_dict if "encoder.mid.block" in key]
-    num_mid_res_blocks = 2
-    for i in range(1, num_mid_res_blocks + 1):
-        resnets = [key for key in mid_resnets if f"encoder.mid.block_{i}" in key]
-
-        paths = renew_vae_resnet_paths(resnets)
-        meta_path = {"old": f"mid.block_{i}", "new": f"mid_block.resnets.{i - 1}"}
-        assign_to_checkpoint(paths, new_checkpoint, vae_state_dict, additional_replacements=[meta_path], config=config)
-
-    mid_attentions = [key for key in vae_state_dict if "encoder.mid.attn" in key]
-    paths = renew_vae_attention_paths(mid_attentions)
-    meta_path = {"old": "mid.attn_1", "new": "mid_block.attentions.0"}
-    assign_to_checkpoint(paths, new_checkpoint, vae_state_dict, additional_replacements=[meta_path], config=config)
-    conv_attn_to_linear(new_checkpoint)
-
-    for i in range(num_up_blocks):
-        block_id = num_up_blocks - 1 - i
-        resnets = [
-            key for key in up_blocks[block_id] if f"up.{block_id}" in key and f"up.{block_id}.upsample" not in key
-        ]
-
-        if f"decoder.up.{block_id}.upsample.conv.weight" in vae_state_dict:
-            new_checkpoint[f"decoder.up_blocks.{i}.upsamplers.0.conv.weight"] = vae_state_dict[
-                f"decoder.up.{block_id}.upsample.conv.weight"
-            ]
-            new_checkpoint[f"decoder.up_blocks.{i}.upsamplers.0.conv.bias"] = vae_state_dict[
-                f"decoder.up.{block_id}.upsample.conv.bias"
-            ]
-
-        paths = renew_vae_resnet_paths(resnets)
-        meta_path = {"old": f"up.{block_id}.block", "new": f"up_blocks.{i}.resnets"}
-        assign_to_checkpoint(paths, new_checkpoint, vae_state_dict, additional_replacements=[meta_path], config=config)
-
-    mid_resnets = [key for key in vae_state_dict if "decoder.mid.block" in key]
-    num_mid_res_blocks = 2
-    for i in range(1, num_mid_res_blocks + 1):
-        resnets = [key for key in mid_resnets if f"decoder.mid.block_{i}" in key]
-
-        paths = renew_vae_resnet_paths(resnets)
-        meta_path = {"old": f"mid.block_{i}", "new": f"mid_block.resnets.{i - 1}"}
-        assign_to_checkpoint(paths, new_checkpoint, vae_state_dict, additional_replacements=[meta_path], config=config)
-
-    mid_attentions = [key for key in vae_state_dict if "decoder.mid.attn" in key]
-    paths = renew_vae_attention_paths(mid_attentions)
-    meta_path = {"old": "mid.attn_1", "new": "mid_block.attentions.0"}
-    assign_to_checkpoint(paths, new_checkpoint, vae_state_dict, additional_replacements=[meta_path], config=config)
-    conv_attn_to_linear(new_checkpoint)
-    return new_checkpoint
-
-
-def convert_ldm_bert_checkpoint(checkpoint, config):
-    def _copy_attn_layer(hf_attn_layer, pt_attn_layer):
-        hf_attn_layer.q_proj.weight.data = pt_attn_layer.to_q.weight
-        hf_attn_layer.k_proj.weight.data = pt_attn_layer.to_k.weight
-        hf_attn_layer.v_proj.weight.data = pt_attn_layer.to_v.weight
-
-        hf_attn_layer.out_proj.weight = pt_attn_layer.to_out.weight
-        hf_attn_layer.out_proj.bias = pt_attn_layer.to_out.bias
-
-    def _copy_linear(hf_linear, pt_linear):
-        hf_linear.weight = pt_linear.weight
-        hf_linear.bias = pt_linear.bias
-
-    def _copy_layer(hf_layer, pt_layer):
-        # copy layer norms
-        _copy_linear(hf_layer.self_attn_layer_norm, pt_layer[0][0])
-        _copy_linear(hf_layer.final_layer_norm, pt_layer[1][0])
-
-        # copy attn
-        _copy_attn_layer(hf_layer.self_attn, pt_layer[0][1])
-
-        # copy MLP
-        pt_mlp = pt_layer[1][1]
-        _copy_linear(hf_layer.fc1, pt_mlp.net[0][0])
-        _copy_linear(hf_layer.fc2, pt_mlp.net[2])
-
-    def _copy_layers(hf_layers, pt_layers):
-        for i, hf_layer in enumerate(hf_layers):
-            if i != 0:
-                i += i
-            pt_layer = pt_layers[i : i + 2]
-            _copy_layer(hf_layer, pt_layer)
-
-    hf_model = LDMBertModel(config).eval()
-
-    # copy  embeds
-    hf_model.model.embed_tokens.weight = checkpoint.transformer.token_emb.weight
-    hf_model.model.embed_positions.weight.data = checkpoint.transformer.pos_emb.emb.weight
-
-    # copy layer norm
-    _copy_linear(hf_model.model.layer_norm, checkpoint.transformer.norm)
-
-    # copy hidden layers
-    _copy_layers(hf_model.model.layers, checkpoint.transformer.attn_layers.layers)
-
-    _copy_linear(hf_model.to_logits, checkpoint.transformer.to_logits)
-
-    return hf_model
-
-
-def convert_ldm_clip_checkpoint(checkpoint):
-    text_model = CLIPTextModel.from_pretrained("openai/clip-vit-large-patch14")
-
-    keys = list(checkpoint.keys())
-
-    text_model_dict = {}
-
-    for key in keys:
-        if key.startswith("cond_stage_model.transformer"):
-            text_model_dict[key[len("cond_stage_model.transformer.") :]] = checkpoint[key]
-
-    text_model.load_state_dict(text_model_dict)
-
-    return text_model
-
-import os
-def convert_checkpoint(checkpoint_path, inpainting=False):
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument(
-        "--checkpoint_path", default=checkpoint_path, type=str, help="Path to the checkpoint to convert."
-    )
-    # !wget https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml
-    parser.add_argument(
-        "--original_config_file",
-        default=None,
-        type=str,
-        help="The YAML config file corresponding to the original architecture.",
-    )
-    parser.add_argument(
-        "--scheduler_type",
-        default="pndm",
-        type=str,
-        help="Type of scheduler to use. Should be one of ['pndm', 'lms', 'ddim']",
-    )
-    parser.add_argument("--dump_path", default=None, type=str, help="Path to the output model.")
-
-    args = parser.parse_args([])
-    if args.original_config_file is None:
-        if inpainting:
-            args.original_config_file = "./models/v1-inpainting-inference.yaml"
-        else:
-            args.original_config_file = "./models/v1-inference.yaml"
-
-    original_config = OmegaConf.load(args.original_config_file)
-    checkpoint = torch.load(args.checkpoint_path)["state_dict"]
-
-    num_train_timesteps = original_config.model.params.timesteps
-    beta_start = original_config.model.params.linear_start
-    beta_end = original_config.model.params.linear_end
-    if args.scheduler_type == "pndm":
-        scheduler = PNDMScheduler(
-            beta_end=beta_end,
-            beta_schedule="scaled_linear",
-            beta_start=beta_start,
-            num_train_timesteps=num_train_timesteps,
-            skip_prk_steps=True,
-        )
-    elif args.scheduler_type == "lms":
-        scheduler = LMSDiscreteScheduler(beta_start=beta_start, beta_end=beta_end, beta_schedule="scaled_linear")
-    elif args.scheduler_type == "ddim":
-        scheduler = DDIMScheduler(
-            beta_start=beta_start,
-            beta_end=beta_end,
-            beta_schedule="scaled_linear",
-            clip_sample=False,
-            set_alpha_to_one=False,
-        )
-    else:
-        raise ValueError(f"Scheduler of type {args.scheduler_type} doesn't exist!")
-
-    # Convert the UNet2DConditionModel model.
-    unet_config = create_unet_diffusers_config(original_config)
-    converted_unet_checkpoint = convert_ldm_unet_checkpoint(checkpoint, unet_config)
-
-    unet = UNet2DConditionModel(**unet_config)
-    unet.load_state_dict(converted_unet_checkpoint)
-
-    # Convert the VAE model.
-    vae_config = create_vae_diffusers_config(original_config)
-    converted_vae_checkpoint = convert_ldm_vae_checkpoint(checkpoint, vae_config)
-
-    vae = AutoencoderKL(**vae_config)
-    vae.load_state_dict(converted_vae_checkpoint)
-
-    # Convert the text model.
-    text_model_type = original_config.model.params.cond_stage_config.target.split(".")[-1]
-    if text_model_type == "FrozenCLIPEmbedder":
-        text_model = convert_ldm_clip_checkpoint(checkpoint)
-        tokenizer = CLIPTokenizer.from_pretrained("openai/clip-vit-large-patch14")
-        safety_checker = StableDiffusionSafetyChecker.from_pretrained("CompVis/stable-diffusion-safety-checker")
-        feature_extractor = AutoFeatureExtractor.from_pretrained("CompVis/stable-diffusion-safety-checker")
-        pipe = StableDiffusionPipeline(
-            vae=vae,
-            text_encoder=text_model,
-            tokenizer=tokenizer,
-            unet=unet,
-            scheduler=scheduler,
-            safety_checker=safety_checker,
-            feature_extractor=feature_extractor,
-        )
-    else:
-        text_config = create_ldm_bert_config(original_config)
-        text_model = convert_ldm_bert_checkpoint(checkpoint, text_config)
-        tokenizer = BertTokenizerFast.from_pretrained("bert-base-uncased")
-        pipe = LDMTextToImagePipeline(vqvae=vae, bert=text_model, tokenizer=tokenizer, unet=unet, scheduler=scheduler)
-
-    return pipe
diff --git a/spaces/GMFTBY/PandaGPT/model/agent.py b/spaces/GMFTBY/PandaGPT/model/agent.py
deleted file mode 100644
index 219001fda8cfa22bf6c1b720504c07763044a119..0000000000000000000000000000000000000000
--- a/spaces/GMFTBY/PandaGPT/model/agent.py
+++ /dev/null
@@ -1,68 +0,0 @@
-from header import *
-
-class DeepSpeedAgent:
-    
-    def __init__(self, model, args):
-        super(DeepSpeedAgent, self).__init__()
-        self.args = args
-        self.model = model
-        if args['stage'] == 2:
-            self.load_stage_1_parameters(args["delta_ckpt_path"])
-            print(f'[!] load stage 1 checkpoint from {args["delta_ckpt_path"]}')
-
-        # load config parameters of deepspeed
-        ds_params = json.load(open(self.args['ds_config_path']))
-        ds_params['scheduler']['params']['total_num_steps'] = self.args['total_steps']
-        ds_params['scheduler']['params']['warmup_num_steps'] = max(10, int(self.args['total_steps'] * self.args['warmup_rate']))
-        self.ds_engine, self.optimizer, _ , _ = deepspeed.initialize(
-            model=self.model, 
-            model_parameters=self.model.parameters(),
-            config_params=ds_params, 
-            dist_init_required=True,
-            args=types.SimpleNamespace(**args)
-        )
-
-    @torch.no_grad()
-    def predict(self, batch):
-        self.model.eval()
-        string = self.model.generate_one_sample(batch)
-        return string
-
-    def train_model(self, batch, current_step=0, pbar=None):
-        self.ds_engine.module.train()
-        loss, mle_acc = self.ds_engine(batch)
-
-        self.ds_engine.backward(loss)
-        self.ds_engine.step()
-        pbar.set_description(f'[!] loss: {round(loss.item(), 4)}; token_acc: {round(mle_acc*100, 2)}')
-        pbar.update(1)
-        if self.args['local_rank'] == 0 and self.args['log_path'] and current_step % self.args['logging_step'] == 0:
-            elapsed = pbar.format_dict['elapsed']
-            rate = pbar.format_dict['rate']
-            remaining = (pbar.total - pbar.n) / rate if rate and pbar.total else 0
-            remaining = str(datetime.timedelta(seconds=remaining))
-            logging.info(f'[!] progress: {round(pbar.n/pbar.total, 5)}; remaining time: {remaining}; loss: {round(loss.item(), 4)}; token_acc: {round(mle_acc*100, 2)}')
-            
-        mle_acc *= 100
-        return mle_acc
-    
-    def save_model(self, path, current_step):
-        # only save trainable model parameters
-        param_grad_dic = {
-            k: v.requires_grad for (k, v) in self.ds_engine.module.named_parameters()
-        }
-        state_dict = self.ds_engine.module.state_dict()
-        checkpoint = OrderedDict()
-        for k, v in self.ds_engine.module.named_parameters():
-            if v.requires_grad:
-                checkpoint[k] = v
-        torch.save(checkpoint, f'{path}/pytorch_model.pt')
-        # save tokenizer
-        self.model.llama_tokenizer.save_pretrained(path)
-        # save configuration
-        self.model.llama_model.config.save_pretrained(path)
-        print(f'[!] save model into {path}')
-
-    def load_stage_1_parameters(self, path):
-        delta_ckpt = torch.load(path, map_location=torch.device('cpu'))
-        self.model.load_state_dict(delta_ckpt, strict=False)
diff --git a/spaces/GT4SD/protein_properties/README.md b/spaces/GT4SD/protein_properties/README.md
deleted file mode 100644
index a592f4b017cc9efdec797b15023fa033be019d2b..0000000000000000000000000000000000000000
--- a/spaces/GT4SD/protein_properties/README.md
+++ /dev/null
@@ -1,16 +0,0 @@
----
-title: Protein properties
-emoji: 💡
-colorFrom: green
-colorTo: blue
-sdk: gradio
-sdk_version: 3.46.0
-app_file: app.py
-pinned: false
-python_version: 3.9
-pypi_version: 20.2.4
-duplicated_from: GT4SD/molecular_properties
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-
diff --git a/spaces/Gradio-Blocks/StyleGAN-NADA/e4e/utils/common.py b/spaces/Gradio-Blocks/StyleGAN-NADA/e4e/utils/common.py
deleted file mode 100644
index b19e18ddcb78b06678fa18e4a76da44fc511b789..0000000000000000000000000000000000000000
--- a/spaces/Gradio-Blocks/StyleGAN-NADA/e4e/utils/common.py
+++ /dev/null
@@ -1,55 +0,0 @@
-from PIL import Image
-import matplotlib.pyplot as plt
-
-
-# Log images
-def log_input_image(x, opts):
-	return tensor2im(x)
-
-
-def tensor2im(var):
-	# var shape: (3, H, W)
-	var = var.cpu().detach().transpose(0, 2).transpose(0, 1).numpy()
-	var = ((var + 1) / 2)
-	var[var < 0] = 0
-	var[var > 1] = 1
-	var = var * 255
-	return Image.fromarray(var.astype('uint8'))
-
-
-def vis_faces(log_hooks):
-	display_count = len(log_hooks)
-	fig = plt.figure(figsize=(8, 4 * display_count))
-	gs = fig.add_gridspec(display_count, 3)
-	for i in range(display_count):
-		hooks_dict = log_hooks[i]
-		fig.add_subplot(gs[i, 0])
-		if 'diff_input' in hooks_dict:
-			vis_faces_with_id(hooks_dict, fig, gs, i)
-		else:
-			vis_faces_no_id(hooks_dict, fig, gs, i)
-	plt.tight_layout()
-	return fig
-
-
-def vis_faces_with_id(hooks_dict, fig, gs, i):
-	plt.imshow(hooks_dict['input_face'])
-	plt.title('Input\nOut Sim={:.2f}'.format(float(hooks_dict['diff_input'])))
-	fig.add_subplot(gs[i, 1])
-	plt.imshow(hooks_dict['target_face'])
-	plt.title('Target\nIn={:.2f}, Out={:.2f}'.format(float(hooks_dict['diff_views']),
-	                                                 float(hooks_dict['diff_target'])))
-	fig.add_subplot(gs[i, 2])
-	plt.imshow(hooks_dict['output_face'])
-	plt.title('Output\n Target Sim={:.2f}'.format(float(hooks_dict['diff_target'])))
-
-
-def vis_faces_no_id(hooks_dict, fig, gs, i):
-	plt.imshow(hooks_dict['input_face'], cmap="gray")
-	plt.title('Input')
-	fig.add_subplot(gs[i, 1])
-	plt.imshow(hooks_dict['target_face'])
-	plt.title('Target')
-	fig.add_subplot(gs[i, 2])
-	plt.imshow(hooks_dict['output_face'])
-	plt.title('Output')
diff --git a/spaces/Gradio-Blocks/document-qa/README.md b/spaces/Gradio-Blocks/document-qa/README.md
deleted file mode 100644
index 718bd3f55ad135a5cca6a13fa230f3c6b1056052..0000000000000000000000000000000000000000
--- a/spaces/Gradio-Blocks/document-qa/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Document Qa
-emoji: 🦀
-colorFrom: pink
-colorTo: red
-sdk: gradio
-sdk_version: 3.0.5
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
diff --git a/spaces/Gradio-Blocks/uniformer_image_detection/README.md b/spaces/Gradio-Blocks/uniformer_image_detection/README.md
deleted file mode 100644
index b64b353e4e012c612228f0027483770d4a8ecf72..0000000000000000000000000000000000000000
--- a/spaces/Gradio-Blocks/uniformer_image_detection/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Uniformer_image_detection
-emoji: 🌍
-colorFrom: indigo
-colorTo: red
-sdk: gradio
-sdk_version: 3.0.4
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference
diff --git a/spaces/Gradio-Blocks/uniformer_image_detection/configs/detectors/cascade_rcnn_r50_rfp_1x_coco.py b/spaces/Gradio-Blocks/uniformer_image_detection/configs/detectors/cascade_rcnn_r50_rfp_1x_coco.py
deleted file mode 100644
index 4430d8a677e48f84552eb23403bc874c56bda506..0000000000000000000000000000000000000000
--- a/spaces/Gradio-Blocks/uniformer_image_detection/configs/detectors/cascade_rcnn_r50_rfp_1x_coco.py
+++ /dev/null
@@ -1,28 +0,0 @@
-_base_ = [
-    '../_base_/models/cascade_rcnn_r50_fpn.py',
-    '../_base_/datasets/coco_detection.py',
-    '../_base_/schedules/schedule_1x.py', '../_base_/default_runtime.py'
-]
-
-model = dict(
-    backbone=dict(
-        type='DetectoRS_ResNet',
-        conv_cfg=dict(type='ConvAWS'),
-        output_img=True),
-    neck=dict(
-        type='RFP',
-        rfp_steps=2,
-        aspp_out_channels=64,
-        aspp_dilations=(1, 3, 6, 1),
-        rfp_backbone=dict(
-            rfp_inplanes=256,
-            type='DetectoRS_ResNet',
-            depth=50,
-            num_stages=4,
-            out_indices=(0, 1, 2, 3),
-            frozen_stages=1,
-            norm_cfg=dict(type='BN', requires_grad=True),
-            norm_eval=True,
-            conv_cfg=dict(type='ConvAWS'),
-            pretrained='torchvision://resnet50',
-            style='pytorch')))
diff --git a/spaces/Gradio-Blocks/uniformer_image_detection/configs/fpg/mask_rcnn_r50_fpg-chn128_crop640_50e_coco.py b/spaces/Gradio-Blocks/uniformer_image_detection/configs/fpg/mask_rcnn_r50_fpg-chn128_crop640_50e_coco.py
deleted file mode 100644
index baa4a5affc9b3ead0080d993b14f0d00392c2de5..0000000000000000000000000000000000000000
--- a/spaces/Gradio-Blocks/uniformer_image_detection/configs/fpg/mask_rcnn_r50_fpg-chn128_crop640_50e_coco.py
+++ /dev/null
@@ -1,10 +0,0 @@
-_base_ = 'mask_rcnn_r50_fpg_crop640_50e_coco.py'
-
-model = dict(
-    neck=dict(out_channels=128, inter_channels=128),
-    rpn_head=dict(in_channels=128),
-    roi_head=dict(
-        bbox_roi_extractor=dict(out_channels=128),
-        bbox_head=dict(in_channels=128),
-        mask_roi_extractor=dict(out_channels=128),
-        mask_head=dict(in_channels=128)))
diff --git a/spaces/Gradio-Blocks/uniformer_image_segmentation/configs/_base_/models/fcn_r50-d8.py b/spaces/Gradio-Blocks/uniformer_image_segmentation/configs/_base_/models/fcn_r50-d8.py
deleted file mode 100644
index 5e98f6cc918b6146fc6d613c6918e825ef1355c3..0000000000000000000000000000000000000000
--- a/spaces/Gradio-Blocks/uniformer_image_segmentation/configs/_base_/models/fcn_r50-d8.py
+++ /dev/null
@@ -1,45 +0,0 @@
-# model settings
-norm_cfg = dict(type='SyncBN', requires_grad=True)
-model = dict(
-    type='EncoderDecoder',
-    pretrained='open-mmlab://resnet50_v1c',
-    backbone=dict(
-        type='ResNetV1c',
-        depth=50,
-        num_stages=4,
-        out_indices=(0, 1, 2, 3),
-        dilations=(1, 1, 2, 4),
-        strides=(1, 2, 1, 1),
-        norm_cfg=norm_cfg,
-        norm_eval=False,
-        style='pytorch',
-        contract_dilation=True),
-    decode_head=dict(
-        type='FCNHead',
-        in_channels=2048,
-        in_index=3,
-        channels=512,
-        num_convs=2,
-        concat_input=True,
-        dropout_ratio=0.1,
-        num_classes=19,
-        norm_cfg=norm_cfg,
-        align_corners=False,
-        loss_decode=dict(
-            type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),
-    auxiliary_head=dict(
-        type='FCNHead',
-        in_channels=1024,
-        in_index=2,
-        channels=256,
-        num_convs=1,
-        concat_input=False,
-        dropout_ratio=0.1,
-        num_classes=19,
-        norm_cfg=norm_cfg,
-        align_corners=False,
-        loss_decode=dict(
-            type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)),
-    # model training and testing settings
-    train_cfg=dict(),
-    test_cfg=dict(mode='whole'))
diff --git a/spaces/GreenRaptor/MMS/infer.py b/spaces/GreenRaptor/MMS/infer.py
deleted file mode 100644
index 6e3ac9b1a1c175a512d39dbfc618bdf241f7f2b2..0000000000000000000000000000000000000000
--- a/spaces/GreenRaptor/MMS/infer.py
+++ /dev/null
@@ -1,436 +0,0 @@
-#!/usr/bin/env python3 -u
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-"""
-Run inference for pre-processed data with a trained model.
-"""
-
-import ast
-import logging
-import math
-import os
-import sys
-
-import editdistance
-import numpy as np
-import torch
-from fairseq import checkpoint_utils, options, progress_bar, tasks, utils
-from fairseq.data.data_utils import post_process
-from fairseq.logging.meters import StopwatchMeter, TimeMeter
-
-
-logging.basicConfig()
-logging.root.setLevel(logging.INFO)
-logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-
-def add_asr_eval_argument(parser):
-    parser.add_argument("--kspmodel", default=None, help="sentence piece model")
-    parser.add_argument(
-        "--wfstlm", default=None, help="wfstlm on dictonary output units"
-    )
-    parser.add_argument(
-        "--rnnt_decoding_type",
-        default="greedy",
-        help="wfstlm on dictonary\
-output units",
-    )
-    try:
-        parser.add_argument(
-            "--lm-weight",
-            "--lm_weight",
-            type=float,
-            default=0.2,
-            help="weight for lm while interpolating with neural score",
-        )
-    except:
-        pass
-    parser.add_argument(
-        "--rnnt_len_penalty", default=-0.5, help="rnnt length penalty on word level"
-    )
-    parser.add_argument(
-        "--w2l-decoder",
-        choices=["viterbi", "kenlm", "fairseqlm"],
-        help="use a w2l decoder",
-    )
-    parser.add_argument("--lexicon", help="lexicon for w2l decoder")
-    parser.add_argument("--unit-lm", action="store_true", help="if using a unit lm")
-    parser.add_argument("--kenlm-model", "--lm-model", help="lm model for w2l decoder")
-    parser.add_argument("--beam-threshold", type=float, default=25.0)
-    parser.add_argument("--beam-size-token", type=float, default=100)
-    parser.add_argument("--word-score", type=float, default=1.0)
-    parser.add_argument("--unk-weight", type=float, default=-math.inf)
-    parser.add_argument("--sil-weight", type=float, default=0.0)
-    parser.add_argument(
-        "--dump-emissions",
-        type=str,
-        default=None,
-        help="if present, dumps emissions into this file and exits",
-    )
-    parser.add_argument(
-        "--dump-features",
-        type=str,
-        default=None,
-        help="if present, dumps features into this file and exits",
-    )
-    parser.add_argument(
-        "--load-emissions",
-        type=str,
-        default=None,
-        help="if present, loads emissions from this file",
-    )
-    return parser
-
-
-def check_args(args):
-    # assert args.path is not None, "--path required for generation!"
-    # assert args.results_path is not None, "--results_path required for generation!"
-    assert (
-        not args.sampling or args.nbest == args.beam
-    ), "--sampling requires --nbest to be equal to --beam"
-    assert (
-        args.replace_unk is None or args.raw_text
-    ), "--replace-unk requires a raw text dataset (--raw-text)"
-
-
-def get_dataset_itr(args, task, models):
-    return task.get_batch_iterator(
-        dataset=task.dataset(args.gen_subset),
-        max_tokens=args.max_tokens,
-        max_sentences=args.batch_size,
-        max_positions=(sys.maxsize, sys.maxsize),
-        ignore_invalid_inputs=args.skip_invalid_size_inputs_valid_test,
-        required_batch_size_multiple=args.required_batch_size_multiple,
-        num_shards=args.num_shards,
-        shard_id=args.shard_id,
-        num_workers=args.num_workers,
-        data_buffer_size=args.data_buffer_size,
-    ).next_epoch_itr(shuffle=False)
-
-
-def process_predictions(
-    args, hypos, sp, tgt_dict, target_tokens, res_files, speaker, id
-):
-    for hypo in hypos[: min(len(hypos), args.nbest)]:
-        hyp_pieces = tgt_dict.string(hypo["tokens"].int().cpu())
-
-        if "words" in hypo:
-            hyp_words = " ".join(hypo["words"])
-        else:
-            hyp_words = post_process(hyp_pieces, args.post_process)
-
-        if res_files is not None:
-            print(
-                "{} ({}-{})".format(hyp_pieces, speaker, id),
-                file=res_files["hypo.units"],
-            )
-            print(
-                "{} ({}-{})".format(hyp_words, speaker, id),
-                file=res_files["hypo.words"],
-            )
-
-        tgt_pieces = tgt_dict.string(target_tokens)
-        tgt_words = post_process(tgt_pieces, args.post_process)
-
-        if res_files is not None:
-            print(
-                "{} ({}-{})".format(tgt_pieces, speaker, id),
-                file=res_files["ref.units"],
-            )
-            print(
-                "{} ({}-{})".format(tgt_words, speaker, id), file=res_files["ref.words"]
-            )
-
-        if not args.quiet:
-            logger.info("HYPO:" + hyp_words)
-            logger.info("TARGET:" + tgt_words)
-            logger.info("___________________")
-
-        hyp_words = hyp_words.split()
-        tgt_words = tgt_words.split()
-        return editdistance.eval(hyp_words, tgt_words), len(tgt_words)
-
-
-def prepare_result_files(args):
-    def get_res_file(file_prefix):
-        if args.num_shards > 1:
-            file_prefix = f"{args.shard_id}_{file_prefix}"
-        path = os.path.join(
-            args.results_path,
-            "{}-{}-{}.txt".format(
-                file_prefix, os.path.basename(args.path), args.gen_subset
-            ),
-        )
-        return open(path, "w", buffering=1)
-
-    if not args.results_path:
-        return None
-
-    return {
-        "hypo.words": get_res_file("hypo.word"),
-        "hypo.units": get_res_file("hypo.units"),
-        "ref.words": get_res_file("ref.word"),
-        "ref.units": get_res_file("ref.units"),
-    }
-
-
-def optimize_models(args, use_cuda, models):
-    """Optimize ensemble for generation"""
-    for model in models:
-        model.make_generation_fast_(
-            beamable_mm_beam_size=None if args.no_beamable_mm else args.beam,
-            need_attn=args.print_alignment,
-        )
-        if args.fp16:
-            model.half()
-        if use_cuda:
-            model.cuda()
-
-
-def apply_half(t):
-    if t.dtype is torch.float32:
-        return t.to(dtype=torch.half)
-    return t
-
-
-class ExistingEmissionsDecoder(object):
-    def __init__(self, decoder, emissions):
-        self.decoder = decoder
-        self.emissions = emissions
-
-    def generate(self, models, sample, **unused):
-        ids = sample["id"].cpu().numpy()
-        try:
-            emissions = np.stack(self.emissions[ids])
-        except:
-            print([x.shape for x in self.emissions[ids]])
-            raise Exception("invalid sizes")
-        emissions = torch.from_numpy(emissions)
-        return self.decoder.decode(emissions)
-
-
-def main(args, task=None, model_state=None):
-    check_args(args)
-
-    use_fp16 = args.fp16
-    if args.max_tokens is None and args.batch_size is None:
-        args.max_tokens = 4000000
-    logger.info(args)
-
-    use_cuda = torch.cuda.is_available() and not args.cpu
-
-    logger.info("| decoding with criterion {}".format(args.criterion))
-
-    task = tasks.setup_task(args)
-
-    # Load ensemble
-    if args.load_emissions:
-        models, criterions = [], []
-        task.load_dataset(args.gen_subset)
-    else:
-        logger.info("| loading model(s) from {}".format(args.path))
-        models, saved_cfg, task = checkpoint_utils.load_model_ensemble_and_task(
-            utils.split_paths(args.path, separator="\\"),
-            arg_overrides=ast.literal_eval(args.model_overrides),
-            task=task,
-            suffix=args.checkpoint_suffix,
-            strict=(args.checkpoint_shard_count == 1),
-            num_shards=args.checkpoint_shard_count,
-            state=model_state,
-        )
-        optimize_models(args, use_cuda, models)
-        task.load_dataset(args.gen_subset, task_cfg=saved_cfg.task)
-
-
-    # Set dictionary
-    tgt_dict = task.target_dictionary
-
-    logger.info(
-        "| {} {} {} examples".format(
-            args.data, args.gen_subset, len(task.dataset(args.gen_subset))
-        )
-    )
-
-    # hack to pass transitions to W2lDecoder
-    if args.criterion == "asg_loss":
-        raise NotImplementedError("asg_loss is currently not supported")
-        # trans = criterions[0].asg.trans.data
-        # args.asg_transitions = torch.flatten(trans).tolist()
-
-    # Load dataset (possibly sharded)
-    itr = get_dataset_itr(args, task, models)
-
-    # Initialize generator
-    gen_timer = StopwatchMeter()
-
-    def build_generator(args):
-        w2l_decoder = getattr(args, "w2l_decoder", None)
-        if w2l_decoder == "viterbi":
-            from examples.speech_recognition.w2l_decoder import W2lViterbiDecoder
-
-            return W2lViterbiDecoder(args, task.target_dictionary)
-        elif w2l_decoder == "kenlm":
-            from examples.speech_recognition.w2l_decoder import W2lKenLMDecoder
-
-            return W2lKenLMDecoder(args, task.target_dictionary)
-        elif w2l_decoder == "fairseqlm":
-            from examples.speech_recognition.w2l_decoder import W2lFairseqLMDecoder
-
-            return W2lFairseqLMDecoder(args, task.target_dictionary)
-        else:
-            print(
-                "only flashlight decoders with (viterbi, kenlm, fairseqlm) options are supported at the moment"
-            )
-
-    # please do not touch this unless you test both generate.py and infer.py with audio_pretraining task
-    generator = build_generator(args)
-
-    if args.load_emissions:
-        generator = ExistingEmissionsDecoder(
-            generator, np.load(args.load_emissions, allow_pickle=True)
-        )
-        logger.info("loaded emissions from " + args.load_emissions)
-
-    num_sentences = 0
-
-    if args.results_path is not None and not os.path.exists(args.results_path):
-        os.makedirs(args.results_path)
-
-    max_source_pos = (
-        utils.resolve_max_positions(
-            task.max_positions(), *[model.max_positions() for model in models]
-        ),
-    )
-
-    if max_source_pos is not None:
-        max_source_pos = max_source_pos[0]
-        if max_source_pos is not None:
-            max_source_pos = max_source_pos[0] - 1
-
-    if args.dump_emissions:
-        emissions = {}
-    if args.dump_features:
-        features = {}
-        models[0].bert.proj = None
-    else:
-        res_files = prepare_result_files(args)
-    errs_t = 0
-    lengths_t = 0
-    with progress_bar.build_progress_bar(args, itr) as t:
-        wps_meter = TimeMeter()
-        for sample in t:
-            sample = utils.move_to_cuda(sample) if use_cuda else sample
-            if use_fp16:
-                sample = utils.apply_to_sample(apply_half, sample)
-            if "net_input" not in sample:
-                continue
-
-            prefix_tokens = None
-            if args.prefix_size > 0:
-                prefix_tokens = sample["target"][:, : args.prefix_size]
-
-            gen_timer.start()
-            if args.dump_emissions:
-                with torch.no_grad():
-                    encoder_out = models[0](**sample["net_input"])
-                    emm = models[0].get_normalized_probs(encoder_out, log_probs=True)
-                    emm = emm.transpose(0, 1).cpu().numpy()
-                    for i, id in enumerate(sample["id"]):
-                        emissions[id.item()] = emm[i]
-                    continue
-            elif args.dump_features:
-                with torch.no_grad():
-                    encoder_out = models[0](**sample["net_input"])
-                    feat = encoder_out["encoder_out"].transpose(0, 1).cpu().numpy()
-                    for i, id in enumerate(sample["id"]):
-                        padding = (
-                            encoder_out["encoder_padding_mask"][i].cpu().numpy()
-                            if encoder_out["encoder_padding_mask"] is not None
-                            else None
-                        )
-                        features[id.item()] = (feat[i], padding)
-                    continue
-            hypos = task.inference_step(generator, models, sample, prefix_tokens)
-            num_generated_tokens = sum(len(h[0]["tokens"]) for h in hypos)
-            gen_timer.stop(num_generated_tokens)
-
-            for i, sample_id in enumerate(sample["id"].tolist()):
-                speaker = None
-                # id = task.dataset(args.gen_subset).ids[int(sample_id)]
-                id = sample_id
-                toks = (
-                    sample["target"][i, :]
-                    if "target_label" not in sample
-                    else sample["target_label"][i, :]
-                )
-                target_tokens = utils.strip_pad(toks, tgt_dict.pad()).int().cpu()
-                # Process top predictions
-                errs, length = process_predictions(
-                    args,
-                    hypos[i],
-                    None,
-                    tgt_dict,
-                    target_tokens,
-                    res_files,
-                    speaker,
-                    id,
-                )
-                errs_t += errs
-                lengths_t += length
-
-            wps_meter.update(num_generated_tokens)
-            t.log({"wps": round(wps_meter.avg)})
-            num_sentences += (
-                sample["nsentences"] if "nsentences" in sample else sample["id"].numel()
-            )
-
-    wer = None
-    if args.dump_emissions:
-        emm_arr = []
-        for i in range(len(emissions)):
-            emm_arr.append(emissions[i])
-        np.save(args.dump_emissions, emm_arr)
-        logger.info(f"saved {len(emissions)} emissions to {args.dump_emissions}")
-    elif args.dump_features:
-        feat_arr = []
-        for i in range(len(features)):
-            feat_arr.append(features[i])
-        np.save(args.dump_features, feat_arr)
-        logger.info(f"saved {len(features)} emissions to {args.dump_features}")
-    else:
-        if lengths_t > 0:
-            wer = errs_t * 100.0 / lengths_t
-            logger.info(f"WER: {wer}")
-
-        logger.info(
-            "| Processed {} sentences ({} tokens) in {:.1f}s ({:.2f}"
-            "sentences/s, {:.2f} tokens/s)".format(
-                num_sentences,
-                gen_timer.n,
-                gen_timer.sum,
-                num_sentences / gen_timer.sum,
-                1.0 / gen_timer.avg,
-            )
-        )
-        logger.info("| Generate {} with beam={}".format(args.gen_subset, args.beam))
-    return task, wer
-
-
-def make_parser():
-    parser = options.get_generation_parser()
-    parser = add_asr_eval_argument(parser)
-    return parser
-
-
-def cli_main():
-    parser = make_parser()
-    args = options.parse_args_and_arch(parser)
-    main(args)
-
-
-if __name__ == "__main__":
-    cli_main()
\ No newline at end of file
diff --git a/spaces/Grezz/generate_human_motion/pyrender/pyrender/font.py b/spaces/Grezz/generate_human_motion/pyrender/pyrender/font.py
deleted file mode 100644
index 5ac530d7b949f50314a0d9cf5d744bedcace0571..0000000000000000000000000000000000000000
--- a/spaces/Grezz/generate_human_motion/pyrender/pyrender/font.py
+++ /dev/null
@@ -1,272 +0,0 @@
-"""Font texture loader and processor.
-
-Author: Matthew Matl
-"""
-import freetype
-import numpy as np
-import os
-
-import OpenGL
-from OpenGL.GL import *
-
-from .constants import TextAlign, FLOAT_SZ
-from .texture import Texture
-from .sampler import Sampler
-
-
-class FontCache(object):
-    """A cache for fonts.
-    """
-
-    def __init__(self, font_dir=None):
-        self._font_cache = {}
-        self.font_dir = font_dir
-        if self.font_dir is None:
-            base_dir, _ = os.path.split(os.path.realpath(__file__))
-            self.font_dir = os.path.join(base_dir, 'fonts')
-
-    def get_font(self, font_name, font_pt):
-        # If it's a file, load it directly, else, try to load from font dir.
-        if os.path.isfile(font_name):
-            font_filename = font_name
-            _, font_name = os.path.split(font_name)
-            font_name, _ = os.path.split(font_name)
-        else:
-            font_filename = os.path.join(self.font_dir, font_name) + '.ttf'
-
-        cid = OpenGL.contextdata.getContext()
-        key = (cid, font_name, int(font_pt))
-
-        if key not in self._font_cache:
-            self._font_cache[key] = Font(font_filename, font_pt)
-        return self._font_cache[key]
-
-    def clear(self):
-        for key in self._font_cache:
-            self._font_cache[key].delete()
-        self._font_cache = {}
-
-
-class Character(object):
-    """A single character, with its texture and attributes.
-    """
-
-    def __init__(self, texture, size, bearing, advance):
-        self.texture = texture
-        self.size = size
-        self.bearing = bearing
-        self.advance = advance
-
-
-class Font(object):
-    """A font object.
-
-    Parameters
-    ----------
-    font_file : str
-        The file to load the font from.
-    font_pt : int
-        The height of the font in pixels.
-    """
-
-    def __init__(self, font_file, font_pt=40):
-        self.font_file = font_file
-        self.font_pt = int(font_pt)
-        self._face = freetype.Face(font_file)
-        self._face.set_pixel_sizes(0, font_pt)
-        self._character_map = {}
-
-        for i in range(0, 128):
-
-            # Generate texture
-            face = self._face
-            face.load_char(chr(i))
-            buf = face.glyph.bitmap.buffer
-            src = (np.array(buf) / 255.0).astype(np.float32)
-            src = src.reshape((face.glyph.bitmap.rows,
-                               face.glyph.bitmap.width))
-            tex = Texture(
-                sampler=Sampler(
-                    magFilter=GL_LINEAR,
-                    minFilter=GL_LINEAR,
-                    wrapS=GL_CLAMP_TO_EDGE,
-                    wrapT=GL_CLAMP_TO_EDGE
-                ),
-                source=src,
-                source_channels='R',
-            )
-            character = Character(
-                texture=tex,
-                size=np.array([face.glyph.bitmap.width,
-                               face.glyph.bitmap.rows]),
-                bearing=np.array([face.glyph.bitmap_left,
-                                  face.glyph.bitmap_top]),
-                advance=face.glyph.advance.x
-            )
-            self._character_map[chr(i)] = character
-
-        self._vbo = None
-        self._vao = None
-
-    @property
-    def font_file(self):
-        """str : The file the font was loaded from.
-        """
-        return self._font_file
-
-    @font_file.setter
-    def font_file(self, value):
-        self._font_file = value
-
-    @property
-    def font_pt(self):
-        """int : The height of the font in pixels.
-        """
-        return self._font_pt
-
-    @font_pt.setter
-    def font_pt(self, value):
-        self._font_pt = int(value)
-
-    def _add_to_context(self):
-
-        self._vao = glGenVertexArrays(1)
-        glBindVertexArray(self._vao)
-        self._vbo = glGenBuffers(1)
-        glBindBuffer(GL_ARRAY_BUFFER, self._vbo)
-        glBufferData(GL_ARRAY_BUFFER, FLOAT_SZ * 6 * 4, None, GL_DYNAMIC_DRAW)
-        glEnableVertexAttribArray(0)
-        glVertexAttribPointer(
-            0, 4, GL_FLOAT, GL_FALSE, 4 * FLOAT_SZ, ctypes.c_void_p(0)
-        )
-        glBindVertexArray(0)
-
-        glPixelStorei(GL_UNPACK_ALIGNMENT, 1)
-        for c in self._character_map:
-            ch = self._character_map[c]
-            if not ch.texture._in_context():
-                ch.texture._add_to_context()
-
-    def _remove_from_context(self):
-        for c in self._character_map:
-            ch = self._character_map[c]
-            ch.texture.delete()
-        if self._vao is not None:
-            glDeleteVertexArrays(1, [self._vao])
-            glDeleteBuffers(1, [self._vbo])
-            self._vao = None
-            self._vbo = None
-
-    def _in_context(self):
-        return self._vao is not None
-
-    def _bind(self):
-        glBindVertexArray(self._vao)
-
-    def _unbind(self):
-        glBindVertexArray(0)
-
-    def delete(self):
-        self._unbind()
-        self._remove_from_context()
-
-    def render_string(self, text, x, y, scale=1.0,
-                      align=TextAlign.BOTTOM_LEFT):
-        """Render a string to the current view buffer.
-
-        Note
-        ----
-        Assumes correct shader program already bound w/ uniforms set.
-
-        Parameters
-        ----------
-        text : str
-            The text to render.
-        x : int
-            Horizontal pixel location of text.
-        y : int
-            Vertical pixel location of text.
-        scale : int
-            Scaling factor for text.
-        align : int
-            One of the TextAlign options which specifies where the ``x``
-            and ``y`` parameters lie on the text. For example,
-            :attr:`.TextAlign.BOTTOM_LEFT` means that ``x`` and ``y`` indicate
-            the position of the bottom-left corner of the textbox.
-        """
-        glActiveTexture(GL_TEXTURE0)
-        glEnable(GL_BLEND)
-        glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA)
-        glDisable(GL_DEPTH_TEST)
-        glPolygonMode(GL_FRONT_AND_BACK, GL_FILL)
-        self._bind()
-
-        # Determine width and height of text relative to x, y
-        width = 0.0
-        height = 0.0
-        for c in text:
-            ch = self._character_map[c]
-            height = max(height, ch.bearing[1] * scale)
-            width += (ch.advance >> 6) * scale
-
-        # Determine offsets based on alignments
-        xoff = 0
-        yoff = 0
-        if align == TextAlign.BOTTOM_RIGHT:
-            xoff = -width
-        elif align == TextAlign.BOTTOM_CENTER:
-            xoff = -width / 2.0
-        elif align == TextAlign.TOP_LEFT:
-            yoff = -height
-        elif align == TextAlign.TOP_RIGHT:
-            yoff = -height
-            xoff = -width
-        elif align == TextAlign.TOP_CENTER:
-            yoff = -height
-            xoff = -width / 2.0
-        elif align == TextAlign.CENTER:
-            xoff = -width / 2.0
-            yoff = -height / 2.0
-        elif align == TextAlign.CENTER_LEFT:
-            yoff = -height / 2.0
-        elif align == TextAlign.CENTER_RIGHT:
-            xoff = -width
-            yoff = -height / 2.0
-
-        x += xoff
-        y += yoff
-
-        ch = None
-        for c in text:
-            ch = self._character_map[c]
-            xpos = x + ch.bearing[0] * scale
-            ypos = y - (ch.size[1] - ch.bearing[1]) * scale
-            w = ch.size[0] * scale
-            h = ch.size[1] * scale
-
-            vertices = np.array([
-                [xpos, ypos, 0.0, 0.0],
-                [xpos + w, ypos, 1.0, 0.0],
-                [xpos + w, ypos + h, 1.0, 1.0],
-                [xpos + w, ypos + h, 1.0, 1.0],
-                [xpos, ypos + h, 0.0, 1.0],
-                [xpos, ypos, 0.0, 0.0],
-            ], dtype=np.float32)
-
-            ch.texture._bind()
-
-            glBindBuffer(GL_ARRAY_BUFFER, self._vbo)
-            glBufferData(
-                GL_ARRAY_BUFFER, FLOAT_SZ * 6 * 4, vertices, GL_DYNAMIC_DRAW
-            )
-            # TODO MAKE THIS MORE EFFICIENT, lgBufferSubData is broken
-            # glBufferSubData(
-            #     GL_ARRAY_BUFFER, 0, 6 * 4 * FLOAT_SZ,
-            #     np.ascontiguousarray(vertices.flatten)
-            # )
-            glDrawArrays(GL_TRIANGLES, 0, 6)
-            x += (ch.advance >> 6) * scale
-
-        self._unbind()
-        if ch:
-            ch.texture._unbind()
diff --git a/spaces/HCMUT-GraduateThesis-HNTThinh/rgbdsod-multimae-demo/s_multimae/train_fns/train_v2.py b/spaces/HCMUT-GraduateThesis-HNTThinh/rgbdsod-multimae-demo/s_multimae/train_fns/train_v2.py
deleted file mode 100644
index 4b44c2dea86aea186f5a89267a70d4c88bf37ac6..0000000000000000000000000000000000000000
--- a/spaces/HCMUT-GraduateThesis-HNTThinh/rgbdsod-multimae-demo/s_multimae/train_fns/train_v2.py
+++ /dev/null
@@ -1,220 +0,0 @@
-from torch import nn, Tensor
-import torch
-from tqdm import tqdm
-from logging import Logger
-
-from s_multimae.dataloader import WarmupDataLoader
-
-from ..criterion import Criterion
-from ..distributed_training import get_device, get_rank, is_master_proc
-from ..seeds import setup_seed
-from ..gradient_accumulation import GradientAccumulation
-from ..flop import calculate_gflops
-from ..wandb_manager import wandb_init
-from ..logger_fn import create_logger
-from ..cross_validation import CrossValidation, cross_validation_log
-from ..configs.base_config import base_cfg, get_train_cfg
-from ..utils import count_parameters, clean_cache
-from ..dataset_fn import TrainDataset
-from ..lr import LinearLRRestart
-from ..checkpoint import load_checkpoint, save_checkpoint
-from ..device import cpu_device
-from ..rgbd_model import RGBDModel
-from ..run_type import run_type
-from ..logger_fn import train_epoch_log
-
-def train_v2(cfg: base_cfg) -> None:
-    """TrainV2
-    Changelogs:
-    - Fix: zero out gradients step is performed in the wrong order
-    - Using setup_seed with non-deterministic
-    - Support distributed training
-    - Change from model.opt_params to model.parameters()
-    """
-    
-    # Distributed training
-    local_rank = get_rank()
-    print('local_rank', local_rank)
-    local_device = get_device()
-    is_master_process = is_master_proc()
-    
-    # Setup seed
-    setup_seed(cfg.seed + local_rank, True)
-    
-    model = RGBDModel(cfg, run_type=run_type.rt)
-
-    if is_master_process:
-        # Logger
-        logger = create_logger(cfg.logs_dir, 'TRAIN')
-
-        # Model
-        no_params = count_parameters(model)
-        gflops = None # calculate_gflops(model, cfg.image_size)
-        logger.info(f'Number of params {no_params}')
-        logger.info(f'{gflops} GLOP(s)')
-    else:
-        logger: Logger = None
-
-    # Train dataset and Dataloader
-    train_dataset = TrainDataset(cfg)
-    warmup_dataloader = WarmupDataLoader(cfg, train_dataset)
-    
-    # Cross validation
-    cross_val = CrossValidation(
-        cfg, max_track=20, 
-        data_augmentation_version=cfg.data_augmentation_version
-    )
-
-    # Learning rate policy
-    cfg.num_train_imgs = len(train_dataset)
-    cfg.niters_per_epoch = len(warmup_dataloader.train_dataloader)
-    lr_policy = LinearLRRestart(
-        cfg.lr, cfg.end_lr, cfg.warmup_epoch
-    )
-    
-    # Gradient Accumulation
-    gradient_accumulation = GradientAccumulation(
-        cfg.accum_iter, cfg.niters_per_epoch
-    )
-    
-    # Criterion
-    criterion = Criterion(cfg)
-    
-    # Gradient Scaler
-    scaler = torch.cuda.amp.GradScaler()
-    
-    # Optimizer
-    optimizer = torch.optim.AdamW(
-        model.opt_params, lr=cfg.lr, betas=cfg.betas, 
-        weight_decay=cfg.weight_decay
-    )
-    
-    model.to(local_device)
-    model = nn.SyncBatchNorm.convert_sync_batchnorm(model)
-    
-    # ✨
-    # This container parallelizes the application of the given module by
-    # splitting the input across the specified devices by chunking in the batch
-    # dimension. The module is replicated on each machine and each device, and
-    # each such replica handles a portion of the input. During the backwards
-    # pass, gradients from each node are averaged.
-    # The batch size should be larger than the number of GPUs used locally.
-    model = nn.parallel.DistributedDataParallel(
-        model, 
-        
-        # For single-device modules, ``device_ids`` can
-        # contain exactly one device id
-        device_ids=[local_rank],
-    )
-    
-    # Load checkpoint if checkpoint path exists
-    start_epoch, global_step = load_checkpoint(
-        model, optimizer, None, logger, cfg.ckpt_path,
-        strict=False, scaler=scaler
-    )
-
-    if is_master_process:
-        train_cfg = get_train_cfg(
-            cfg, no_params=no_params, gflops=gflops
-        )
-        wandb_run = wandb_init(cfg.experiment_name, config=train_cfg)
-        logger.info('Start training:')
-
-    if (start_epoch-1) % cfg.save_checkpoints_after_each_n_epochs == 0 and start_epoch != 1 \
-        and cfg.save_checkpoints_after_each_n_epochs != 1:
-        cross_validation_log(cfg, model, logger, cross_val, start_epoch-1)
-    # cross_validation_log(cfg, model, logger, cross_val, start_epoch-1)
-
-    for epoch in range(start_epoch, cfg.nepochs+1):
-        # Don't forget to set epoch!
-        warmup_dataloader.set_epoch(epoch)
-        cfg.niters_per_epoch = len(warmup_dataloader.train_dataloader)
-        lr_policy.set_epoch(epoch, cfg.niters_per_epoch)
-        gradient_accumulation.niters_per_epoch = cfg.niters_per_epoch
-
-        clean_cache()
-        model.train()
-
-        sum_loss: float = 0.0
-        
-        # ⭕ Zero the parameter gradients
-        optimizer.zero_grad()
-
-        # batch index starting from 1
-        for batch_idx, (images, depths, gts, indices) in tqdm(
-            enumerate(warmup_dataloader.train_dataloader, start=1), 
-            total=cfg.niters_per_epoch,
-            disable=not is_master_process,
-        ):
-            global_step += 1
-            
-            # Update learning rate
-            current_idx = (epoch - 1) * cfg.niters_per_epoch + (batch_idx - 1) 
-            lr = lr_policy.get_lr(current_idx)
-            for i in range(len(optimizer.param_groups)):
-                optimizer.param_groups[i]['lr'] = lr * optimizer.param_groups[i]['lr_scale']
-            
-            # Move to GPU
-            images: Tensor = images.to(local_device)
-            depths: Tensor = depths.to(local_device)
-            gts: Tensor = gts.to(local_device)
-
-            # Calculate loss
-            with torch.cuda.amp.autocast(enabled=cfg.is_fp16):
-                gpu_out: Tensor = model(images, depths)
-                loss = criterion(gpu_out['semseg'], gts)
-                if 'depth' in cfg.outputs:
-                    loss += criterion(gpu_out['depth'], depths)
-
-            clone_loss: Tensor = loss
-
-            loss = loss / cfg.accum_iter
-            
-            # 📈 Scales loss.  
-            # Calls backward() on scaled loss to create scaled gradients 
-            # (accumulating scaled gradients if gradients are not zero)
-            scaler.scale(loss).backward()
-                
-            # BackProp
-            if gradient_accumulation.is_back_prop(batch_idx):
-                # ⭐ Unscale gradients
-                # - scaler.step() first unscales gradients of the optimizer's params.
-                # - If gradients don't contain infs/NaNs, optimizer.step() is then called,
-                # otherwise, optimizer.step() is skipped.
-                # - optimizer.step(): updates the parameters
-                # 
-                # - Each parameter’s gradient (.grad attribute) should be unscaled 
-                # before the optimizer updates the parameters, so the scale factor 
-                # does not interfere with the learning rate.
-                scaler.step(optimizer)
-                
-                # ⭐ Updates the scale for next iteration.
-                scaler.update()
-                
-                # ⭕ Zero the parameter gradients
-                optimizer.zero_grad()
-
-            loss: float = clone_loss.to(cpu_device).item()
-            sum_loss += loss
-
-            if batch_idx % 10 == 0 and is_master_process:
-                train_epoch_log(
-                    cfg, epoch, logger, batch_idx, 
-                    lr, loss, sum_loss, warmup_dataloader
-                )
-
-            del loss, images, gts, depths
-            clean_cache()
-
-        # Save checkpoint after each epoch
-        if is_master_process:
-            save_checkpoint(
-                cfg, epoch, global_step, 
-                model, optimizer, lr_policy, scaler,
-            )
-
-        if epoch % cfg.save_checkpoints_after_each_n_epochs == 0:
-            cross_validation_log(cfg, model, logger, cross_val, epoch)
-    
-    if is_master_process:    
-        wandb_run.finish()
diff --git a/spaces/HIT-TMG/dialogue-bart-large-chinese-DuSinc/README.md b/spaces/HIT-TMG/dialogue-bart-large-chinese-DuSinc/README.md
deleted file mode 100644
index 8e66ceca0578a64e1301eb4937244ff3838f6a66..0000000000000000000000000000000000000000
--- a/spaces/HIT-TMG/dialogue-bart-large-chinese-DuSinc/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Dialogue Bart Large DuSinc
-emoji: 💻
-colorFrom: red
-colorTo: yellow
-sdk: gradio
-sdk_version: 3.13.0
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/examples/wav2vec/unsupervised/README.md b/spaces/HarryLee/eCommerceImageCaptioning/fairseq/examples/wav2vec/unsupervised/README.md
deleted file mode 100644
index 0b213fd202d04bce2149936ec149c23c6d483745..0000000000000000000000000000000000000000
--- a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/examples/wav2vec/unsupervised/README.md
+++ /dev/null
@@ -1,103 +0,0 @@
-# wav2vec Unsupervised  (wav2vec-U)
-  
-Wav2vec Unsupervised (wav2vec-U) is a framework for building speech recognition systems without any labeled training data as described in [Unsupervised Speech Recognition (Baevski et al., 2021)](https://ai.facebook.com/research/publications/unsupervised-speech-recognition).  The model takes as input wav2vec 2.0 or XLSR representations (see [pretrained models](https://github.com/pytorch/fairseq/blob/main/examples/wav2vec)) as well as unlabeled speech and text data.
-  
-  The wav2vec-U training procedure consists of three consecutive main steps:
-* Preparation of speech representations and text data
-* Generative adversarial training (GAN)
-* Iterative self-training + Kaldi LM-decoding
-
-## Preparation of speech and text data
-Similar to [wav2vec 2.0](https://github.com/pytorch/fairseq/blob/main/examples/wav2vec/README.md),  data folders contain {train,valid,test}.{tsv,wrd,phn} files, where audio paths are stored in tsv files, and word, letter or phoneme transcriptions are stored in .{wrd,ltr,phn}.
-
-In **/path/to/data/with_silence** you need a *train.tsv* file as well as (optionally) *{valid,test}.{tsv,wrd,phn}*. It is nice to have *10h.{tsv,phn}* files there too for reproducing the ablation study on  layer selection. In **/path/to/data/without_silence** you have the same files, except *.tsv* files contain audios with silences removed using rVAD.
-
-Pre-requisites:
-* set FAIRSEQ_ROOT environmental variable to your fairseq installation
-* set RVAD_ROOT environmental variable to a checkout of [rVADfast](https://github.com/zhenghuatan/rVADfast)
-* set KENLM_ROOT environmental variable to the location of [KenLM](https://github.com/kpu/kenlm) binaries
-* install [PyKaldi](https://github.com/pykaldi/pykaldi) and set KALDI_ROOT environmental variable to the location of your kaldi installation. To use the version bundled with PyKaldi, you can use /path/to/pykaldi/tools/kaldi
-
-Create new audio files without silences:
-```shell
-# create a manifest file for the set original of audio files
-python $FAIRSEQ_ROOT/examples/wav2vec/wav2vec_manifest.py /dir/to/save/audio/files --ext wav --dest /path/to/new/train.tsv --valid-percent 0
-
-python scripts/vads.py -r $RVAD_ROOT < /path/to/train.tsv > train.vads
-
-python scripts/remove_silence.py --tsv /path/to/train.tsv --vads train.vads --out /dir/to/save/audio/files
-
-python $FAIRSEQ_ROOT/examples/wav2vec/wav2vec_manifest.py /dir/to/save/audio/files --ext wav --dest /path/to/new/train.tsv --valid-percent 0.01
-```
-
-Next, we need to preprocess the audio data to better match phonemized text data:
-
-```shell
-zsh scripts/prepare_audio.sh /dir/with/{train,test,valid}.tsv /output/dir /path/to/wav2vec2/model.pt 512 14
-```
-Note that if you have splits different than train/valid/test, you will need to modify this script. The last two arguments are the PCA dimensionality and the 0-based index of the layer from which to extract representations.
-
-Now we need to prepare text data:
-```shell
-zsh scripts/prepare_text.sh language /path/to/text/file /output/dir 1000 espeak /path/to/fasttext/lid/model
-```
-
-The fourth argument is minimum number observations of phones to keep. If your text corpus is small, you might want to reduce this number.
-
-The fifth argument is which phonemizer to use. Supported values are [espeak](http://espeak.sourceforge.net/), [espeak-ng](https://github.com/espeak-ng/espeak-ng), and [G2P](https://github.com/Kyubyong/g2p) (english only).
-
-Pre-trained fasttext LID models can be downloaded [here](https://fasttext.cc/docs/en/language-identification.html).
-
-### Prepare TIMIT data
-TIMIT transcripts include silence. Therefore VAD is not used for audio preprocessing, and we do not wrap transcripts with silences or insert random silence in between words.
-
-To prepare TIMIT data for both the matched an unmatched setup:
-```shell
-bash scripts/prepare_timit.sh /dir/to/timit/raw/data /output/dir /path/to/wav2vec2/model.pt
-```
-
-Note that we assume the TIMIT distribution with capitalized directories and filenames are used (e.g., `TRAIN/DR1/FCJF0/SA1.PHN`).
-
-## Generative adversarial training (GAN)
-
-We then use a GAN model to build a first unsupervised ASR model. The data preparation above of both speech features and text data is a necessary procedure that enables the generator to match speech to text in an unsupervised way. 
-
-Launching GAN training on top of preprocessed features, with default hyperparameters can be done with:
-
-```
-PREFIX=w2v_unsup_gan_xp
-TASK_DATA=/path/to/features/precompute_unfiltered_pca512_cls128_mean_pooled  
-TEXT_DATA=/path/to/data/phones  # path to fairseq-preprocessed GAN data (phones dir)
-KENLM_PATH=/path/to/data/phones/kenlm.phn.o4.bin  # KenLM 4-gram phoneme language model (LM data = GAN data here)
-
-PYTHONPATH=$FAIRSEQ_ROOT PREFIX=$PREFIX fairseq-hydra-train \
-    -m --config-dir config/gan \
-    --config-name w2vu \
-    task.data=${TASK_DATA} \
-    task.text_data=${TEXT_DATA} \
-    task.kenlm_path=${KENLM_PATH} \
-    common.user_dir=${FAIRSEQ_ROOT}/examples/wav2vec/unsupervised \
-    model.code_penalty=2,4 model.gradient_penalty=1.5,2.0 \
-    model.smoothness_weight=0.5,0.75,1.0 'common.seed=range(0,5)'
-```
-
-
-Once we find the best checkpoint (chosen using unsupervised metric that combined language model perplexity and vocabulary usage), we can use it to generate phone labels (or word labels with an appropriate kaldi WFST):
-
-```shell
-python w2vu_generate.py --config-dir config/generate --config-name viterbi \
-fairseq.common.user_dir=${FAIRSEQ_ROOT}/examples/wav2vec/unsupervised \
-fairseq.task.data=/path/to/dir/with/features \
-fairseq.common_eval.path=/path/to/gan/checkpoint \ 
-fairseq.dataset.gen_subset=valid results_path=/where/to/save/transcriptions
-```
-
-The decoding without LM works best on the same adjacent-mean-pooled features that the gan was trained on, while decoding with LM works better on features before the adjacent timestep mean-pooling step (without the "_pooled" suffix).
-
-## Iterative self-training + Kaldi LM-decoding
-After the GAN training provides a first unsupervised model, we can then progressively refine the quality of transcriptions using several iterations of semi-supervised learning. We perform two iterations: first, pseudo-label the training data with the unsupervised GAN model and train an HMM on the pseudo-labels. Second, we relabel the training data with the HMM and then fine-tune the original wav2vec 2.0 model using the HMM pseudo-labels with a CTC loss. Note that HMM models use phonemes as output, while wav2vec 2.0 use letter. Both are decoded using WFST decoders into words.
-
-
-Please see [this README](kaldi_self_train/README.md) for more instructions on how to do iterative self-training + Kaldi LM-decoding.
-
-*** Note: these instructions are a work in progress and will be updated over the next few days
diff --git a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/fairseq/model_parallel/models/pipeline_parallel_transformer/model.py b/spaces/HarryLee/eCommerceImageCaptioning/fairseq/fairseq/model_parallel/models/pipeline_parallel_transformer/model.py
deleted file mode 100644
index 7f30dd98bb19b7bc414790787053efb231855129..0000000000000000000000000000000000000000
--- a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/fairseq/model_parallel/models/pipeline_parallel_transformer/model.py
+++ /dev/null
@@ -1,767 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-import logging
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-from fairseq import utils
-from fairseq.model_parallel.models.pipeline_parallel_transformer.layers import (
-    Embedding,
-    TransformerDecoderEmbedding,
-    TransformerDecoderLayer,
-    TransformerDecoderOutputLayer,
-    TransformerEncoderEmbedding,
-    TransformerEncoderLayer,
-    TransformerEncoderLayerNorm,
-)
-from fairseq.models import (
-    BaseFairseqModel,
-    FairseqDecoder,
-    FairseqEncoder,
-    register_model,
-    register_model_architecture,
-)
-from fairseq.models.fairseq_encoder import EncoderOut
-from fairseq.models.transformer import (
-    base_architecture,
-    transformer_iwslt_de_en,
-    transformer_wmt_en_de_big,
-)
-from fairseq.modules import SinusoidalPositionalEmbedding
-
-
-logger = logging.getLogger(__name__)
-
-
-DEFAULT_MAX_SOURCE_POSITIONS = 1024
-DEFAULT_MAX_TARGET_POSITIONS = 1024
-TORCH_PIPE = False
-RPC_INIT = False
-
-def import_pipe():
-    global TORCH_PIPE
-    global RPC_INIT
-    try:
-        from torch.distributed.pipeline.sync import Pipe # noqa
-        global Pipe
-        from torch.distributed.pipeline.sync.utils import partition_model
-        global partition_model
-        from torch.distributed import rpc
-        import tempfile
-        TORCH_PIPE = True
-        # Initialize single process RPC agent since TORCH_PIPE requires
-        # RRef. RRef depends on RPC being initialized and as a result we initialize
-        # RPC with a single node.
-        tmpfile = tempfile.NamedTemporaryFile()
-        if not RPC_INIT:
-            rpc.init_rpc(
-                name="worker",
-                rank=0,
-                world_size=1,
-                rpc_backend_options=rpc.TensorPipeRpcBackendOptions(
-                    init_method="file://{}".format(tmpfile.name),
-                )
-            )
-            RPC_INIT = True
-        logger.info('Using torch pipe')
-    except ImportError:
-        try:
-            from fairscale.nn import Pipe # noqa
-            logger.info('Using fairscale pipe')
-        except ImportError:
-            raise ImportError("Please install fairscale with: pip install fairscale")
-
-
-@register_model("pipeline_parallel_transformer")
-class PipelineParallelTransformerModel(BaseFairseqModel):
-    def __init__(self, encoder, decoder, balance, devices, chunks, checkpoint):
-        import_pipe()
-        super().__init__()
-        assert isinstance(encoder, FairseqEncoder)
-        assert isinstance(decoder, FairseqDecoder)
-        encoder_module_list = (
-            [encoder.embedding_layer]
-            + list(encoder.encoder_layers)
-            + [encoder.final_layer_norm]
-        )
-        self.num_encoder_modules = len(encoder_module_list)
-        decoder_module_list = (
-            [decoder.embedding_layer]
-            + list(decoder.decoder_layers)
-            + [decoder.decoder_output_layer]
-        )
-        self.num_decoder_modules = len(decoder_module_list)
-        module_list = encoder_module_list + decoder_module_list
-        self.devices = devices
-        if TORCH_PIPE:
-            self.model = Pipe(
-                partition_model(nn.Sequential(*module_list), balance, devices),
-                chunks=chunks,
-                checkpoint=checkpoint,
-            )
-        else:
-            self.model = Pipe(
-                nn.Sequential(*module_list),
-                balance=balance,
-                devices=devices,
-                chunks=chunks,
-                checkpoint=checkpoint,
-            )
-        self.encoder_max_positions = self.max_positions_helper(
-            encoder.embedding_layer, "max_source_positions"
-        )
-        self.decoder_max_positions = self.max_positions_helper(
-            decoder.embedding_layer, "max_target_positions"
-        )
-        self.adaptive_softmax = getattr(decoder, "adaptive_softmax", None)
-        # Note: To be populated during inference
-        self.encoder = None
-        self.decoder = None
-
-    def forward(self, src_tokens, src_lengths, prev_output_tokens):
-        if self.training:
-            input_lst = [src_tokens, src_lengths, prev_output_tokens]
-            input = tuple(i.to(self.devices[0], non_blocking=True) for i in input_lst)
-            if TORCH_PIPE:
-                return self.model(input).local_value()
-            else:
-                return self.model(input)
-        else:
-            assert self.encoder is not None and self.decoder is not None, (
-                "encoder and decoder need to be initialized by "
-                + "calling the `prepare_for_inference_()` method"
-            )
-            encoder_output_tuple = self.encoder(input)
-            return self.decoder(encoder_output_tuple)
-
-    def prepare_for_inference_(self, cfg):
-        if self.encoder is not None and self.decoder is not None:
-            logger.info("Encoder and Decoder already initialized")
-            return
-        encoder_module_list = []
-        decoder_module_list = []
-        module_count = 0
-        for partition in self.model.partitions:
-            for module in partition:
-                if module_count < self.num_encoder_modules:
-                    encoder_module_list.append(module)
-                else:
-                    decoder_module_list.append(module)
-                module_count += 1
-        self.model = None
-        self.encoder = TransformerEncoder(cfg.distributed_training, None, None, encoder_module_list)
-        self.decoder = TransformerDecoder(
-            cfg.distributed_training, None, None, decoder_module_list=decoder_module_list
-        )
-
-    @staticmethod
-    def add_args(parser):
-        """Add model-specific arguments to the parser."""
-        # fmt: off
-        parser.add_argument('--activation-fn',
-                            choices=utils.get_available_activation_fns(),
-                            help='activation function to use')
-        parser.add_argument('--dropout', type=float, metavar='D',
-                            help='dropout probability')
-        parser.add_argument('--attention-dropout', type=float, metavar='D',
-                            help='dropout probability for attention weights')
-        parser.add_argument('--activation-dropout', '--relu-dropout', type=float, metavar='D',
-                            help='dropout probability after activation in FFN.')
-        parser.add_argument('--encoder-embed-path', type=str, metavar='STR',
-                            help='path to pre-trained encoder embedding')
-        parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
-                            help='encoder embedding dimension')
-        parser.add_argument('--encoder-ffn-embed-dim', type=int, metavar='N',
-                            help='encoder embedding dimension for FFN')
-        parser.add_argument('--encoder-layers', type=int, metavar='N',
-                            help='num encoder layers')
-        parser.add_argument('--encoder-attention-heads', type=int, metavar='N',
-                            help='num encoder attention heads')
-        parser.add_argument('--encoder-normalize-before', action='store_true',
-                            help='apply layernorm before each encoder block')
-        parser.add_argument('--encoder-learned-pos', action='store_true',
-                            help='use learned positional embeddings in the encoder')
-        parser.add_argument('--decoder-embed-path', type=str, metavar='STR',
-                            help='path to pre-trained decoder embedding')
-        parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
-                            help='decoder embedding dimension')
-        parser.add_argument('--decoder-ffn-embed-dim', type=int, metavar='N',
-                            help='decoder embedding dimension for FFN')
-        parser.add_argument('--decoder-layers', type=int, metavar='N',
-                            help='num decoder layers')
-        parser.add_argument('--decoder-attention-heads', type=int, metavar='N',
-                            help='num decoder attention heads')
-        parser.add_argument('--decoder-learned-pos', action='store_true',
-                            help='use learned positional embeddings in the decoder')
-        parser.add_argument('--decoder-normalize-before', action='store_true',
-                            help='apply layernorm before each decoder block')
-        parser.add_argument('--share-decoder-input-output-embed', action='store_true',
-                            help='share decoder input and output embeddings')
-        parser.add_argument('--share-all-embeddings', action='store_true',
-                            help='share encoder, decoder and output embeddings'
-                                 ' (requires shared dictionary and embed dim)')
-        parser.add_argument('--no-token-positional-embeddings', default=False, action='store_true',
-                            help='if set, disables positional embeddings (outside self attention)')
-        parser.add_argument('--adaptive-softmax-cutoff', metavar='EXPR',
-                            help='comma separated list of adaptive softmax cutoff points. '
-                                 'Must be used with adaptive_loss criterion'),
-        parser.add_argument('--adaptive-softmax-dropout', type=float, metavar='D',
-                            help='sets adaptive softmax dropout for the tail projections')
-        parser.add_argument('--num-embedding-chunks', type=int, metavar='N', default=1,
-                            help='Number of embedding layer chunks (enables more even distribution'
-                                 'of optimizer states across data parallel nodes'
-                                 'when using optimizer state sharding and'
-                                 'a big embedding vocabulary)')
-        # fmt: on
-
-    @classmethod
-    def build_model_base(cls, args, task):
-        """Build a new model instance."""
-
-        # make sure all arguments are present in older models
-        base_architecture(args)
-
-        if not hasattr(args, "max_source_positions"):
-            args.max_source_positions = DEFAULT_MAX_SOURCE_POSITIONS
-        if not hasattr(args, "max_target_positions"):
-            args.max_target_positions = DEFAULT_MAX_TARGET_POSITIONS
-
-        src_dict, tgt_dict = task.source_dictionary, task.target_dictionary
-
-        def build_embedding(dictionary, embed_dim, path=None, num_embed_chunks=1):
-            assert embed_dim % num_embed_chunks == 0, (
-                f"Number of embedding chunks = {num_embed_chunks} should be "
-                + f"divisible by the embedding dimension = {embed_dim}"
-            )
-            assert path is None or num_embed_chunks == 1, (
-                "Loading embedding from a path with number of embedding chunks > 1"
-                + " is not yet supported"
-            )
-            num_embeddings = len(dictionary)
-            padding_idx = dictionary.pad()
-            # if provided, load from preloaded dictionaries
-            if path:
-                emb = Embedding(num_embeddings, embed_dim, padding_idx)
-                embed_dict = utils.parse_embedding(path)
-                utils.load_embedding(embed_dict, dictionary, emb)
-            else:
-                embed_chunk_dim = embed_dim // num_embed_chunks
-                emb = nn.ModuleList()
-                for i in range(num_embed_chunks):
-                    emb.append(Embedding(num_embeddings, embed_chunk_dim, padding_idx))
-            return emb
-
-        num_embed_chunks = args.num_embedding_chunks
-        if args.share_all_embeddings:
-            if src_dict != tgt_dict:
-                raise ValueError("--share-all-embeddings requires a joined dictionary")
-            if args.encoder_embed_dim != args.decoder_embed_dim:
-                raise ValueError(
-                    "--share-all-embeddings requires --encoder-embed-dim to match --decoder-embed-dim"
-                )
-            if args.decoder_embed_path and (
-                args.decoder_embed_path != args.encoder_embed_path
-            ):
-                raise ValueError(
-                    "--share-all-embeddings not compatible with --decoder-embed-path"
-                )
-            encoder_embed_tokens = build_embedding(
-                src_dict,
-                args.encoder_embed_dim,
-                args.encoder_embed_path,
-                num_embed_chunks,
-            )
-            decoder_embed_tokens = encoder_embed_tokens
-            args.share_decoder_input_output_embed = True
-        else:
-            assert args.share_decoder_input_output_embed or num_embed_chunks == 1, (
-                "Not sharing decoder I/O embeddings is not yet supported with number of "
-                + "embedding chunks > 1"
-            )
-            encoder_embed_tokens = build_embedding(
-                src_dict,
-                args.encoder_embed_dim,
-                args.encoder_embed_path,
-                num_embed_chunks,
-            )
-            decoder_embed_tokens = build_embedding(
-                tgt_dict,
-                args.decoder_embed_dim,
-                args.decoder_embed_path,
-                num_embed_chunks,
-            )
-
-        encoder = cls.build_encoder(args, src_dict, encoder_embed_tokens)
-        decoder = cls.build_decoder(args, tgt_dict, decoder_embed_tokens)
-        return (encoder, decoder)
-
-    @classmethod
-    def build_encoder(cls, args, src_dict, embed_tokens):
-        return TransformerEncoder(args, src_dict, embed_tokens)
-
-    @classmethod
-    def build_decoder(cls, args, tgt_dict, embed_tokens):
-        return TransformerDecoder(args, tgt_dict, embed_tokens)
-
-    @classmethod
-    def build_model(cls, args, task):
-        encoder, decoder = cls.build_model_base(args, task)
-        return PipelineParallelTransformerModel(
-            encoder=encoder,
-            decoder=decoder,
-            balance=utils.eval_str_list(args.pipeline_balance, type=int),
-            devices=utils.eval_str_list(args.pipeline_devices, type=int),
-            chunks=args.pipeline_chunks,
-            checkpoint=args.pipeline_checkpoint,
-        )
-
-    def output_layer(self, features, **kwargs):
-        """Project features to the default output size (typically vocabulary size)."""
-        return self.decoder.output_layer(features, **kwargs)
-
-    def max_positions(self):
-        """Maximum length supported by the model."""
-        return (self.encoder_max_positions, self.decoder_max_positions)
-
-    def max_positions_helper(
-        self, embedding_layer, max_positions_field="max_source_positions"
-    ):
-        """Maximum input length supported by the encoder or decoder."""
-        if embedding_layer.embed_positions is None:
-            return getattr(embedding_layer, max_positions_field)
-        return min(
-            getattr(embedding_layer, max_positions_field),
-            embedding_layer.embed_positions.max_positions,
-        )
-
-    def get_normalized_probs(self, net_output, log_probs, sample=None):
-        """Get normalized probabilities (or log probs) from a net's output."""
-
-        if hasattr(self, "adaptive_softmax") and self.adaptive_softmax is not None:
-            if sample is not None:
-                assert "target" in sample
-                target = sample["target"]
-            else:
-                target = None
-            out = self.adaptive_softmax.get_log_prob(net_output, target=target)
-            return out.exp_() if not log_probs else out
-
-        # A Pipe() module returns a tuple of tensors as the output.
-        # In this case, the tuple has one element - the output tensor of logits
-        logits = net_output if isinstance(net_output, torch.Tensor) else net_output[0]
-        if log_probs:
-            return utils.log_softmax(logits, dim=-1, onnx_trace=False)
-        else:
-            return utils.softmax(logits, dim=-1, onnx_trace=False)
-
-    def max_decoder_positions(self):
-        """Maximum length supported by the decoder."""
-        return self.decoder_max_positions
-
-    def load_state_dict(self, state_dict, strict=True, model_cfg=None):
-        """Copies parameters and buffers from *state_dict* into this module and
-        its descendants.
-
-        Overrides the method in :class:`nn.Module`. Compared with that method
-        this additionally "upgrades" *state_dicts* from old checkpoints.
-        """
-        self.upgrade_state_dict(state_dict)
-        is_regular_transformer = not any("model.partitions" in k for k in state_dict)
-        if is_regular_transformer:
-            state_dict = self.convert_to_pipeline_parallel_state_dict(state_dict)
-        return super().load_state_dict(state_dict, strict)
-
-    def convert_to_pipeline_parallel_state_dict(self, state_dict):
-        new_state_dict = self.state_dict()
-        encoder_layer_idx = 0
-        decoder_layer_idx = 0
-        encoder_key_suffixes = [
-            "self_attn.k_proj.weight",
-            "self_attn.k_proj.bias",
-            "self_attn.v_proj.weight",
-            "self_attn.v_proj.bias",
-            "self_attn.q_proj.weight",
-            "self_attn.q_proj.bias",
-            "self_attn.out_proj.weight",
-            "self_attn.out_proj.bias",
-            "self_attn_layer_norm.weight",
-            "self_attn_layer_norm.bias",
-            "fc1.weight",
-            "fc1.bias",
-            "fc2.weight",
-            "fc2.bias",
-            "final_layer_norm.weight",
-            "final_layer_norm.bias",
-        ]
-        decoder_key_suffixes = [
-            "self_attn.k_proj.weight",
-            "self_attn.k_proj.bias",
-            "self_attn.v_proj.weight",
-            "self_attn.v_proj.bias",
-            "self_attn.q_proj.weight",
-            "self_attn.q_proj.bias",
-            "self_attn.out_proj.weight",
-            "self_attn.out_proj.bias",
-            "self_attn_layer_norm.weight",
-            "self_attn_layer_norm.bias",
-            "encoder_attn.k_proj.weight",
-            "encoder_attn.k_proj.bias",
-            "encoder_attn.v_proj.weight",
-            "encoder_attn.v_proj.bias",
-            "encoder_attn.q_proj.weight",
-            "encoder_attn.q_proj.bias",
-            "encoder_attn.out_proj.weight",
-            "encoder_attn.out_proj.bias",
-            "encoder_attn_layer_norm.weight",
-            "encoder_attn_layer_norm.bias",
-            "fc1.weight",
-            "fc1.bias",
-            "fc2.weight",
-            "fc2.bias",
-            "final_layer_norm.weight",
-            "final_layer_norm.bias",
-        ]
-        for pid, partition in enumerate(self.model.partitions):
-            logger.info(f"Begin Partition {pid}")
-            for mid, module in enumerate(partition):
-                # fmt: off
-                if isinstance(module, TransformerEncoderEmbedding):
-                    new_state_dict[f'model.partitions.{pid}.{mid}.embed_tokens.weight'] = state_dict['encoder.embed_tokens.weight']
-                    new_state_dict[f'model.partitions.{pid}.{mid}.embed_positions._float_tensor'] = state_dict['encoder.embed_positions._float_tensor']
-                if isinstance(module, TransformerEncoderLayer):
-                    for suffix in encoder_key_suffixes:
-                        new_state_dict[f'model.partitions.{pid}.{mid}.{suffix}'] = state_dict[f'encoder.layers.{encoder_layer_idx}.{suffix}']
-                    encoder_layer_idx += 1
-                if isinstance(module, TransformerDecoderLayer):
-                    for suffix in decoder_key_suffixes:
-                        new_state_dict[f'model.partitions.{pid}.{mid}.{suffix}'] = state_dict[f'decoder.layers.{decoder_layer_idx}.{suffix}']
-                    decoder_layer_idx += 1
-                if isinstance(module, TransformerEncoderLayerNorm):
-                    if 'encoder.layer_norm.weight' in state_dict:
-                        new_state_dict[f'model.partitions.{pid}.{mid}.layer_norm.weight'] = state_dict['encoder.layer_norm.weight']
-                        new_state_dict[f'model.partitions.{pid}.{mid}.layer_norm.bias'] = state_dict['encoder.layer_norm.bias']
-                if isinstance(module, TransformerDecoderEmbedding):
-                    new_state_dict[f'model.partitions.{pid}.{mid}.embed_tokens.weight'] = state_dict['decoder.embed_tokens.weight']
-                    new_state_dict[f'model.partitions.{pid}.{mid}.embed_positions._float_tensor'] = state_dict['decoder.embed_positions._float_tensor']
-                if isinstance(module, TransformerDecoderOutputLayer):
-                    new_state_dict[f'model.partitions.{pid}.{mid}.output_projection.weight'] = state_dict['decoder.output_projection.weight']
-                # fmt: on
-        return new_state_dict
-
-
-class TransformerEncoder(FairseqEncoder):
-    """
-    Transformer encoder consisting of *args.encoder_layers* layers. Each layer
-    is a :class:`TransformerEncoderLayer`.
-
-    Args:
-        args (argparse.Namespace): parsed command-line arguments
-        dictionary (~fairseq.data.Dictionary): encoding dictionary
-        embed_tokens (torch.nn.Embedding): input embedding
-    """
-
-    def __init__(self, args, dictionary, embed_tokens, encoder_module_list=None):
-        super().__init__(dictionary)
-        self.register_buffer("version", torch.Tensor([3]))
-        import_pipe()
-        self.use_pipeline = encoder_module_list is not None
-        if not self.use_pipeline:
-            self.embedding_layer = TransformerEncoderEmbedding(args, embed_tokens)
-            self.encoder_layers = nn.Sequential(*[TransformerEncoderLayer(args) for i in range(args.encoder_layers)])
-            if isinstance(embed_tokens, nn.ModuleList):
-                emb_dim = sum(e.embedding_dim for e in embed_tokens)
-            else:
-                emb_dim = embed_tokens.embedding_dim
-            self.final_layer_norm = TransformerEncoderLayerNorm(args, emb_dim)
-        else:
-            encoder_balance = utils.eval_str_list(
-                args.pipeline_encoder_balance, type=int
-            )
-            encoder_devices = utils.eval_str_list(
-                args.pipeline_encoder_devices, type=int
-            )
-            assert sum(encoder_balance) == len(encoder_module_list), (
-                f"Sum of encoder_balance={encoder_balance} is not equal "
-                + f"to num_encoder_modules={len(encoder_module_list)}"
-            )
-            if TORCH_PIPE:
-                self.model = Pipe(
-                    module=partition_model(nn.Sequential(*encoder_module_list), encoder_balance, encoder_devices),
-                    chunks=args.pipeline_chunks,
-                    checkpoint=args.pipeline_checkpoint,
-                )
-            else:
-                self.model = Pipe(
-                    module=nn.Sequential(*encoder_module_list),
-                    balance=encoder_balance,
-                    devices=encoder_devices,
-                    chunks=args.pipeline_chunks,
-                    checkpoint=args.pipeline_checkpoint,
-                )
-
-    def forward(self, src_tokens, src_lengths):
-        """
-        Args:
-            input_tuple(
-                src_tokens (LongTensor): tokens in the source language of shape
-                    `(batch, src_len)`
-                src_lengths (torch.LongTensor): lengths of each source sentence of
-                    shape `(batch)`
-            )
-
-        Returns:
-            output_tuple(
-                - **encoder_out** (Tensor): the last encoder layer's output of
-                  shape `(src_len, batch, embed_dim)`
-                - **encoder_padding_mask** (ByteTensor): the positions of
-                  padding elements of shape `(batch, src_len)`
-                - prev_output_tokens
-                - **encoder_states** (List[Tensor]): all intermediate
-                  hidden states of shape `(src_len, batch, embed_dim)`.
-                  Only populated if *return_all_hiddens* is True.
-            )
-        """
-        dummy_prev_output_tokens = torch.zeros(
-            1, dtype=src_tokens.dtype, device=src_tokens.device
-        )
-        input_tuple = (src_tokens, src_lengths, dummy_prev_output_tokens)
-        if self.use_pipeline:
-            input_tuple = tuple(i.to(self.model.devices[0]) for i in input_tuple)
-            if TORCH_PIPE:
-                encoder_out = self.model(input_tuple).local_value()
-            else:
-                encoder_out = self.model(input_tuple)
-        else:
-            encoder_embed_output_tuple = self.embedding_layer(input_tuple)
-            encoder_layers_output = self.encoder_layers(encoder_embed_output_tuple)
-            encoder_out = self.final_layer_norm(encoder_layers_output)
-        # first element is the encoder output
-        # second element is the encoder padding mask
-        # the remaining elements of EncoderOut are not computed by
-        # the PipelineParallelTransformer
-        return EncoderOut(encoder_out[0], encoder_out[1], None, None, None, None)
-
-    def reorder_encoder_out(self, encoder_out, new_order):
-        """
-        Reorder encoder output according to *new_order*.
-
-        Args:
-            encoder_out: output from the ``forward()`` method
-            new_order (LongTensor): desired order
-
-        Returns:
-            *encoder_out* rearranged according to *new_order*
-        """
-        if encoder_out.encoder_out is not None:
-            encoder_out = encoder_out._replace(
-                encoder_out=encoder_out.encoder_out.index_select(1, new_order)
-            )
-        if encoder_out.encoder_padding_mask is not None:
-            encoder_out = encoder_out._replace(
-                encoder_padding_mask=encoder_out.encoder_padding_mask.index_select(
-                    0, new_order
-                )
-            )
-        if encoder_out.encoder_embedding is not None:
-            encoder_out = encoder_out._replace(
-                encoder_embedding=encoder_out.encoder_embedding.index_select(
-                    0, new_order
-                )
-            )
-        if encoder_out.encoder_states is not None:
-            for idx, state in enumerate(encoder_out.encoder_states):
-                encoder_out.encoder_states[idx] = state.index_select(1, new_order)
-        return encoder_out
-
-    def max_positions(self):
-        """Maximum input length supported by the encoder."""
-        if self.embedding_layer.embed_positions is None:
-            return self.embedding_layer.max_source_positions
-        return min(
-            self.embedding_layer.max_source_positions,
-            self.embedding_layer.embed_positions.max_positions,
-        )
-
-
-class TransformerDecoder(FairseqDecoder):
-    """
-    Transformer decoder consisting of *args.decoder_layers* layers. Each layer
-    is a :class:`TransformerDecoderLayer`.
-
-    Args:
-        args (argparse.Namespace): parsed command-line arguments
-        dictionary (~fairseq.data.Dictionary): decoding dictionary
-        embed_tokens (torch.nn.Embedding): output embedding
-        no_encoder_attn (bool, optional): whether to attend to encoder outputs
-            (default: False).
-    """
-
-    def __init__(
-        self,
-        args,
-        dictionary,
-        embed_tokens,
-        no_encoder_attn=False,
-        decoder_module_list=None,
-    ):
-        super().__init__(dictionary)
-        self.register_buffer("version", torch.Tensor([3]))
-        import_pipe()
-        self.use_pipeline = decoder_module_list is not None
-        if not self.use_pipeline:
-            self.embedding_layer = TransformerDecoderEmbedding(args, embed_tokens)
-            self.decoder_layers = nn.Sequential(*[
-                TransformerDecoderLayer(args, no_encoder_attn)
-                for _ in range(args.decoder_layers)
-            ])
-            self.decoder_output_layer = TransformerDecoderOutputLayer(
-                args, embed_tokens, dictionary
-            )
-        else:
-            decoder_balance = utils.eval_str_list(
-                args.pipeline_decoder_balance, type=int
-            )
-            decoder_devices = utils.eval_str_list(
-                args.pipeline_decoder_devices, type=int
-            )
-            assert sum(decoder_balance) == len(decoder_module_list), (
-                f"Sum of decoder_balance={decoder_balance} is not equal "
-                + f"to num_decoder_modules={len(decoder_module_list)}"
-            )
-            if TORCH_PIPE:
-                self.model = Pipe(
-                    module=partition_model(nn.Sequential(*decoder_module_list), decoder_balance, decoder_devices),
-                    chunks=args.pipeline_chunks,
-                    checkpoint=args.pipeline_checkpoint,
-                )
-            else:
-                self.model = Pipe(
-                    module=nn.Sequential(*decoder_module_list),
-                    balance=decoder_balance,
-                    devices=decoder_devices,
-                    chunks=args.pipeline_chunks,
-                    checkpoint=args.pipeline_checkpoint,
-                )
-
-    def forward(
-        self,
-        prev_output_tokens,
-        encoder_out=None,
-    ):
-        """
-        Args:
-            prev_output_tokens (LongTensor): previous decoder outputs of shape
-                `(batch, tgt_len)`, for teacher forcing
-            encoder_out (optional): output from the encoder, used for
-                encoder-side attention
-            incremental_state (dict): dictionary used for storing state during
-                :ref:`Incremental decoding`
-            features_only (bool, optional): only return features without
-                applying output layer (default: False).
-
-        Returns:
-            tuple:
-                - the decoder's output of shape `(batch, tgt_len, vocab)`
-                - a dictionary with any model-specific outputs
-        """
-        input_tuple = (
-            encoder_out.encoder_out,
-            encoder_out.encoder_padding_mask,
-            prev_output_tokens,
-        )
-        if self.use_pipeline:
-            input_tuple = tuple(i.to(self.model.devices[0]) for i in input_tuple)
-            if TORCH_PIPE:
-                return (self.model(input_tuple).local_value(),)
-            else:
-                return (self.model(input_tuple),)
-        else:
-            embed_layer_output = self.embedding_layer(input_tuple)
-            state = self.decoder_layers(embed_layer_output)
-            return (self.decoder_output_layer(state),)
-
-    def output_layer(self, features, **kwargs):
-        """Project features to the vocabulary size."""
-        if self.adaptive_softmax is None:
-            # project back to size of vocabulary
-            if self.share_input_output_embed:
-                return F.linear(features, self.embed_tokens.weight)
-            else:
-                return F.linear(features, self.embed_out)
-        else:
-            return features
-
-    def max_positions(self):
-        """Maximum output length supported by the decoder."""
-        if self.embedding_layer.embed_positions is None:
-            return self.embedding_layer.max_target_positions
-        return min(
-            self.embedding_layer.max_target_positions,
-            self.embedding_layer.embed_positions.max_positions,
-        )
-
-    def buffered_future_mask(self, tensor):
-        dim = tensor.size(0)
-        if (
-            not hasattr(self, "_future_mask")
-            or self._future_mask is None
-            or self._future_mask.device != tensor.device
-            or self._future_mask.size(0) < dim
-        ):
-            self._future_mask = torch.triu(
-                utils.fill_with_neg_inf(tensor.new(dim, dim)), 1
-            )
-        return self._future_mask[:dim, :dim]
-
-    def upgrade_state_dict_named(self, state_dict, name):
-        """Upgrade a (possibly old) state dict for new versions of fairseq."""
-        if isinstance(self.embed_positions, SinusoidalPositionalEmbedding):
-            weights_key = "{}.embed_positions.weights".format(name)
-            if weights_key in state_dict:
-                del state_dict[weights_key]
-            state_dict[
-                "{}.embed_positions._float_tensor".format(name)
-            ] = torch.FloatTensor(1)
-
-        for i in range(len(self.layers)):
-            # update layer norms
-            layer_norm_map = {
-                "0": "self_attn_layer_norm",
-                "1": "encoder_attn_layer_norm",
-                "2": "final_layer_norm",
-            }
-            for old, new in layer_norm_map.items():
-                for m in ("weight", "bias"):
-                    k = "{}.layers.{}.layer_norms.{}.{}".format(name, i, old, m)
-                    if k in state_dict:
-                        state_dict[
-                            "{}.layers.{}.{}.{}".format(name, i, new, m)
-                        ] = state_dict[k]
-                        del state_dict[k]
-
-        version_key = "{}.version".format(name)
-        if utils.item(state_dict.get(version_key, torch.Tensor([1]))[0]) <= 2:
-            # earlier checkpoints did not normalize after the stack of layers
-            self.layer_norm = None
-            self.normalize = False
-            state_dict[version_key] = torch.Tensor([1])
-
-        return state_dict
-
-
-@register_model_architecture(
-    "pipeline_parallel_transformer", "transformer_iwslt_de_en_pipeline_parallel"
-)
-def transformer_iwslt_de_en_dist(args):
-    transformer_iwslt_de_en(args)
-
-
-@register_model_architecture(
-    "pipeline_parallel_transformer", "transformer_wmt_en_de_big_pipeline_parallel"
-)
-def transformer_wmt_en_de_big_dist(args):
-    transformer_wmt_en_de_big(args)
diff --git a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/fairseq/modules/transformer_sentence_encoder_layer.py b/spaces/HarryLee/eCommerceImageCaptioning/fairseq/fairseq/modules/transformer_sentence_encoder_layer.py
deleted file mode 100644
index f869c4b2f8fb15f96a292e39bd293df7898a4fce..0000000000000000000000000000000000000000
--- a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/fairseq/modules/transformer_sentence_encoder_layer.py
+++ /dev/null
@@ -1,139 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-from typing import Callable, Optional
-
-import torch
-import torch.nn as nn
-from fairseq import utils
-from fairseq.modules import LayerNorm, MultiheadAttention
-from fairseq.modules.fairseq_dropout import FairseqDropout
-from fairseq.modules.quant_noise import quant_noise
-
-
-class TransformerSentenceEncoderLayer(nn.Module):
-    """
-    Implements a Transformer Encoder Layer used in BERT/XLM style pre-trained
-    models.
-    """
-
-    def __init__(
-        self,
-        embedding_dim: int = 768,
-        ffn_embedding_dim: int = 3072,
-        num_attention_heads: int = 8,
-        dropout: float = 0.1,
-        attention_dropout: float = 0.1,
-        activation_dropout: float = 0.1,
-        activation_fn: str = "relu",
-        export: bool = False,
-        q_noise: float = 0.0,
-        qn_block_size: int = 8,
-        init_fn: Callable = None,
-    ) -> None:
-        super().__init__()
-
-        if init_fn is not None:
-            init_fn()
-
-        # Initialize parameters
-        self.embedding_dim = embedding_dim
-        self.num_attention_heads = num_attention_heads
-        self.attention_dropout = attention_dropout
-        self.q_noise = q_noise
-        self.qn_block_size = qn_block_size
-
-        self.dropout_module = FairseqDropout(
-            dropout, module_name=self.__class__.__name__
-        )
-        self.activation_dropout_module = FairseqDropout(
-            activation_dropout, module_name=self.__class__.__name__
-        )
-
-        # Initialize blocks
-        self.activation_fn = utils.get_activation_fn(activation_fn)
-        self.self_attn = self.build_self_attention(
-            self.embedding_dim,
-            num_attention_heads,
-            dropout=attention_dropout,
-            self_attention=True,
-            q_noise=q_noise,
-            qn_block_size=qn_block_size,
-        )
-
-        # layer norm associated with the self attention layer
-        self.self_attn_layer_norm = LayerNorm(self.embedding_dim, export=export)
-
-        self.fc1 = self.build_fc1(
-            self.embedding_dim,
-            ffn_embedding_dim,
-            q_noise=q_noise,
-            qn_block_size=qn_block_size,
-        )
-        self.fc2 = self.build_fc2(
-            ffn_embedding_dim,
-            self.embedding_dim,
-            q_noise=q_noise,
-            qn_block_size=qn_block_size,
-        )
-
-        # layer norm associated with the position wise feed-forward NN
-        self.final_layer_norm = LayerNorm(self.embedding_dim, export=export)
-
-    def build_fc1(self, input_dim, output_dim, q_noise, qn_block_size):
-        return quant_noise(nn.Linear(input_dim, output_dim), q_noise, qn_block_size)
-
-    def build_fc2(self, input_dim, output_dim, q_noise, qn_block_size):
-        return quant_noise(nn.Linear(input_dim, output_dim), q_noise, qn_block_size)
-
-    def build_self_attention(
-        self,
-        embed_dim,
-        num_attention_heads,
-        dropout,
-        self_attention,
-        q_noise,
-        qn_block_size,
-    ):
-        return MultiheadAttention(
-            embed_dim,
-            num_attention_heads,
-            dropout=dropout,
-            self_attention=True,
-            q_noise=q_noise,
-            qn_block_size=qn_block_size,
-        )
-
-    def forward(
-        self,
-        x: torch.Tensor,
-        self_attn_mask: Optional[torch.Tensor] = None,
-        self_attn_padding_mask: Optional[torch.Tensor] = None,
-    ):
-        """
-        LayerNorm is applied either before or after the self-attention/ffn
-        modules similar to the original Transformer implementation.
-        """
-        residual = x
-        x, attn = self.self_attn(
-            query=x,
-            key=x,
-            value=x,
-            key_padding_mask=self_attn_padding_mask,
-            need_weights=False,
-            attn_mask=self_attn_mask,
-        )
-        x = self.dropout_module(x)
-        x = residual + x
-        x = self.self_attn_layer_norm(x)
-
-        residual = x
-        x = self.activation_fn(self.fc1(x))
-        x = self.activation_dropout_module(x)
-        x = self.fc2(x)
-        x = self.dropout_module(x)
-        x = residual + x
-        x = self.final_layer_norm(x)
-        return x, attn
diff --git a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/tests/test_lstm_jitable.py b/spaces/HarryLee/eCommerceImageCaptioning/fairseq/tests/test_lstm_jitable.py
deleted file mode 100644
index 38f79d17931c32447e96c0fbae2630ac397e1804..0000000000000000000000000000000000000000
--- a/spaces/HarryLee/eCommerceImageCaptioning/fairseq/tests/test_lstm_jitable.py
+++ /dev/null
@@ -1,115 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-import argparse
-import tempfile
-import unittest
-
-import torch
-from fairseq.data.dictionary import Dictionary
-from fairseq.models.lstm import LSTMModel
-from fairseq.tasks.fairseq_task import LegacyFairseqTask
-
-
-DEFAULT_TEST_VOCAB_SIZE = 100
-
-
-class DummyTask(LegacyFairseqTask):
-    def __init__(self, args):
-        super().__init__(args)
-        self.dictionary = get_dummy_dictionary()
-        if getattr(self.args, "ctc", False):
-            self.dictionary.add_symbol("<ctc_blank>")
-        self.src_dict = self.dictionary
-        self.tgt_dict = self.dictionary
-
-    @property
-    def source_dictionary(self):
-        return self.src_dict
-
-    @property
-    def target_dictionary(self):
-        return self.dictionary
-
-
-def get_dummy_dictionary(vocab_size=DEFAULT_TEST_VOCAB_SIZE):
-    dummy_dict = Dictionary()
-    # add dummy symbol to satisfy vocab size
-    for id, _ in enumerate(range(vocab_size)):
-        dummy_dict.add_symbol("{}".format(id), 1000)
-    return dummy_dict
-
-
-def get_dummy_task_and_parser():
-    """
-    to build a fariseq model, we need some dummy parse and task. This function
-    is used to create dummy task and parser to faciliate model/criterion test
-
-    Note: we use FbSpeechRecognitionTask as the dummy task. You may want
-    to use other task by providing another function
-    """
-    parser = argparse.ArgumentParser(
-        description="test_dummy_s2s_task", argument_default=argparse.SUPPRESS
-    )
-    DummyTask.add_args(parser)
-    args = parser.parse_args([])
-    task = DummyTask.setup_task(args)
-    return task, parser
-
-
-class TestJitLSTMModel(unittest.TestCase):
-    def _test_save_and_load(self, scripted_module):
-        with tempfile.NamedTemporaryFile() as f:
-            scripted_module.save(f.name)
-            torch.jit.load(f.name)
-
-    def assertTensorEqual(self, t1, t2):
-        t1 = t1[~torch.isnan(t1)]  # can cause size mismatch errors if there are NaNs
-        t2 = t2[~torch.isnan(t2)]
-        self.assertEqual(t1.size(), t2.size(), "size mismatch")
-        self.assertEqual(t1.ne(t2).long().sum(), 0)
-
-    def test_jit_and_export_lstm(self):
-        task, parser = get_dummy_task_and_parser()
-        LSTMModel.add_args(parser)
-        args = parser.parse_args([])
-        args.criterion = ""
-        model = LSTMModel.build_model(args, task)
-        scripted_model = torch.jit.script(model)
-        self._test_save_and_load(scripted_model)
-
-    def test_assert_jit_vs_nonjit_(self):
-        task, parser = get_dummy_task_and_parser()
-        LSTMModel.add_args(parser)
-        args = parser.parse_args([])
-        args.criterion = ""
-        model = LSTMModel.build_model(args, task)
-        model.eval()
-        scripted_model = torch.jit.script(model)
-        scripted_model.eval()
-        idx = len(task.source_dictionary)
-        iter = 100
-        # Inject random input and check output
-        seq_len_tensor = torch.randint(1, 10, (iter,))
-        num_samples_tensor = torch.randint(1, 10, (iter,))
-        for i in range(iter):
-            seq_len = seq_len_tensor[i]
-            num_samples = num_samples_tensor[i]
-            src_token = (torch.randint(0, idx, (num_samples, seq_len)),)
-            src_lengths = torch.randint(1, seq_len + 1, (num_samples,))
-            src_lengths, _ = torch.sort(src_lengths, descending=True)
-            # Force the first sample to have seq_len
-            src_lengths[0] = seq_len
-            prev_output_token = (torch.randint(0, idx, (num_samples, 1)),)
-            result = model(src_token[0], src_lengths, prev_output_token[0], None)
-            scripted_result = scripted_model(
-                src_token[0], src_lengths, prev_output_token[0], None
-            )
-            self.assertTensorEqual(result[0], scripted_result[0])
-            self.assertTensorEqual(result[1], scripted_result[1])
-
-
-if __name__ == "__main__":
-    unittest.main()
diff --git a/spaces/Harveenchadha/Vakyansh-Tamil-TTS/ttsv/src/glow_tts/texttospeech.py b/spaces/Harveenchadha/Vakyansh-Tamil-TTS/ttsv/src/glow_tts/texttospeech.py
deleted file mode 100644
index 3c88925cac0c56e52d35acfa5d6d7e5ce51329c7..0000000000000000000000000000000000000000
--- a/spaces/Harveenchadha/Vakyansh-Tamil-TTS/ttsv/src/glow_tts/texttospeech.py
+++ /dev/null
@@ -1,146 +0,0 @@
-from __future__ import absolute_import, division, print_function, unicode_literals
-from typing import Tuple
-
-from scipy.io.wavfile import write
-from hifi.env import AttrDict
-from hifi.models import Generator
-
-import numpy as np
-import os
-import json
-
-import torch
-from text import text_to_sequence
-import commons
-import models
-import utils
-import sys
-from argparse import ArgumentParser
-
-
-def check_directory(dir):
-    if not os.path.exists(dir):
-        sys.exit("Error: {} directory does not exist".format(dir))
-
-
-class TextToMel:
-    def __init__(self, glow_model_dir, device="cuda"):
-        self.glow_model_dir = glow_model_dir
-        check_directory(self.glow_model_dir)
-        self.device = device
-        self.hps, self.glow_tts_model = self.load_glow_tts()
-        pass
-
-    def load_glow_tts(self):
-        hps = utils.get_hparams_from_dir(self.glow_model_dir)
-        checkpoint_path = utils.latest_checkpoint_path(self.glow_model_dir)
-        symbols = list(hps.data.punc) + list(hps.data.chars)
-        glow_tts_model = models.FlowGenerator(
-            len(symbols) + getattr(hps.data, "add_blank", False),
-            out_channels=hps.data.n_mel_channels,
-            **hps.model
-        )  # .to(self.device)
-
-        if self.device == "cuda":
-            glow_tts_model.to("cuda")
-
-        utils.load_checkpoint(checkpoint_path, glow_tts_model)
-        glow_tts_model.decoder.store_inverse()
-        _ = glow_tts_model.eval()
-
-        return hps, glow_tts_model
-
-    def generate_mel(self, text, noise_scale=0.667, length_scale=1.0):
-        symbols = list(self.hps.data.punc) + list(self.hps.data.chars)
-        cleaner = self.hps.data.text_cleaners
-        if getattr(self.hps.data, "add_blank", False):
-            text_norm = text_to_sequence(text, symbols, cleaner)
-            text_norm = commons.intersperse(text_norm, len(symbols))
-        else:  # If not using "add_blank" option during training, adding spaces at the beginning and the end of utterance improves quality
-            text = " " + text.strip() + " "
-            text_norm = text_to_sequence(text, symbols, cleaner)
-
-        sequence = np.array(text_norm)[None, :]
-
-        if self.device == "cuda":
-            x_tst = torch.autograd.Variable(torch.from_numpy(sequence)).cuda().long()
-            x_tst_lengths = torch.tensor([x_tst.shape[1]]).cuda()
-        else:
-            x_tst = torch.autograd.Variable(torch.from_numpy(sequence)).long()
-            x_tst_lengths = torch.tensor([x_tst.shape[1]])
-
-        with torch.no_grad():
-            (y_gen_tst, *_), *_, (attn_gen, *_) = self.glow_tts_model(
-                x_tst,
-                x_tst_lengths,
-                gen=True,
-                noise_scale=noise_scale,
-                length_scale=length_scale,
-            )
-        
-        return y_gen_tst
-        #return y_gen_tst.cpu().detach().numpy()
-
-
-class MelToWav:
-    def __init__(self, hifi_model_dir, device="cuda"):
-        self.hifi_model_dir = hifi_model_dir
-        check_directory(self.hifi_model_dir)
-        self.device = device
-        self.h, self.hifi_gan_generator = self.load_hifi_gan()
-        pass
-
-    def load_hifi_gan(self):
-        checkpoint_path = utils.latest_checkpoint_path(self.hifi_model_dir, regex="g_*")
-        config_file = os.path.join(self.hifi_model_dir, "config.json")
-        data = open(config_file).read()
-        json_config = json.loads(data)
-        h = AttrDict(json_config)
-        torch.manual_seed(h.seed)
-
-        generator = Generator(h).to(self.device)
-
-        assert os.path.isfile(checkpoint_path)
-        print("Loading '{}'".format(checkpoint_path))
-        state_dict_g = torch.load(checkpoint_path, map_location=self.device)
-        print("Complete.")
-
-        generator.load_state_dict(state_dict_g["generator"])
-
-        generator.eval()
-        generator.remove_weight_norm()
-
-        return h, generator
-
-    def generate_wav(self, mel):
-        #mel = torch.FloatTensor(mel).to(self.device)
-
-        y_g_hat = self.hifi_gan_generator(mel.to(self.device))  # passing through vocoder
-        audio = y_g_hat.squeeze()
-        audio = audio * 32768.0
-        audio = audio.cpu().detach().numpy().astype("int16")
-
-        return audio, self.h.sampling_rate
-
-
-
-
-
-if __name__ == "__main__":
-
-    parser = ArgumentParser()
-    parser.add_argument("-m", "--model", required=True, type=str)
-    parser.add_argument("-g", "--gan", required=True, type=str)
-    parser.add_argument("-d", "--device", type=str, default="cpu")
-    parser.add_argument("-t", "--text", type=str, required=True)
-    parser.add_argument("-w", "--wav", type=str, required=True)
-    
-    args = parser.parse_args()
-
-    text_to_mel = TextToMel(glow_model_dir=args.model, device=args.device)
-    mel_to_wav = MelToWav(hifi_model_dir=args.gan, device=args.device)
-
-    mel = text_to_mel.generate_mel(args.text)
-    audio, sr = mel_to_wav.generate_wav(mel)
-
-    write(filename=args.wav, rate=sr, data=audio)
\ No newline at end of file
diff --git a/spaces/Harveenchadha/Vakyansh-Tamil-TTS/ttsv/utils/glow/prepare_iitm_data_glow.py b/spaces/Harveenchadha/Vakyansh-Tamil-TTS/ttsv/utils/glow/prepare_iitm_data_glow.py
deleted file mode 100644
index 9e1e5cb8cd85c88892371851917ec721c2c4b08e..0000000000000000000000000000000000000000
--- a/spaces/Harveenchadha/Vakyansh-Tamil-TTS/ttsv/utils/glow/prepare_iitm_data_glow.py
+++ /dev/null
@@ -1,134 +0,0 @@
-import os
-from glob import glob
-import re
-import string
-import argparse
-
-import random
-random.seed(42)
-
-def replace_extra_chars(line):
-    line = line.replace("(", "").replace(
-        ")", ""
-    )  # .replace('\u200d', ' ').replace('\ufeff', ' ').replace('\u200c', ' ').replace('\u200e', ' ')
-    # line = line.replace('“', ' ').replace('”', ' ').replace(':', ' ')
-
-    return line.strip()
-
-
-def write_txt(content, filename):
-    with open(filename, "w+", encoding="utf-8") as f:
-        f.write(content)
-
-
-def save_train_test_valid_split(annotations_txt, num_samples_valid, num_samples_test):
-    with open(annotations_txt, encoding="utf-8") as f:
-        all_lines = [line.strip() for line in f.readlines()]
-    test_val_indices = random.sample(
-        range(len(all_lines)), num_samples_valid + num_samples_test
-    )
-    valid_ix = test_val_indices[:num_samples_valid]
-    test_ix = test_val_indices[num_samples_valid:]
-    train = [line for i, line in enumerate(all_lines) if i not in test_val_indices]
-    valid = [line for i, line in enumerate(all_lines) if i in valid_ix]
-    test = [line for i, line in enumerate(all_lines) if i in test_ix]
-
-    print(f"Num samples in train: {len(train)}")
-    print(f"Num samples in valid: {len(valid)}")
-    print(f"Num samples in test: {len(test)}")
-
-    out_dir_path = "/".join(annotations_txt.split("/")[:-1])
-    with open(os.path.join(out_dir_path, "train.txt"), "w+", encoding="utf-8") as f:
-        for line in train:
-            print(line, file=f)
-    with open(os.path.join(out_dir_path, "valid.txt"), "w+", encoding="utf-8") as f:
-        for line in valid:
-            print(line, file=f)
-    with open(os.path.join(out_dir_path, "test.txt"), "w+", encoding="utf-8") as f:
-        for line in test:
-            print(line, file=f)
-    print(f"train, test and valid txts saved in {out_dir_path}")
-
-
-def save_txts_from_txt_done_data(
-    text_path,
-    wav_path_for_annotations_txt,
-    out_path_for_txts,
-    num_samples_valid,
-    num_samples_test,
-):
-    outfile = os.path.join(out_path_for_txts, "annotations.txt")
-    with open(text_path) as file:
-        file_lines = file.readlines()
-
-    # print(file_lines[0])
-
-    file_lines = [replace_extra_chars(line) for line in file_lines]
-    # print(file_lines[0])
-
-    fnames, ftexts = [], []
-    for line in file_lines:
-        elems = line.split('"')
-        fnames.append(elems[0].strip())
-        ftexts.append(elems[1].strip())
-
-    all_chars = list(set("".join(ftexts)))
-    punct_with_space = [i for i in all_chars if i in list(string.punctuation)] + [" "]
-    chars = [i for i in all_chars if i not in punct_with_space if i.strip()]
-    chars = "".join(chars)
-    punct_with_space = "".join(punct_with_space)
-    
-    with open('../../config/glow/base_blank.json', 'r') as jfile:
-        json_config = json.load(jfile)
-
-    json_config["data"]["chars"] = chars
-    json_config["data"]["punc"] = punct_with_space
-    json_config["data"]["training_files"]=out_path_for_txts + '/train.txt'
-    json_config["data"]["validation_files"] = out_path_for_txts + '/valid.txt'
-    new_config_name = out_path_for_txts.split('/')[-1]
-    with open(f'../../config/glow/{new_config_name}.json','w+') as jfile:
-        json.dump(json_config, jfile)
-    
-    print(f"Characters: {chars}")
-    print(f"Punctuation: {punct_with_space}")
-    print(f"Config file is stored at ../../config/glow/{new_config_name}.json")
-
-    outfile_f = open(outfile, "w+", encoding="utf-8")
-    for f, t in zip(fnames, ftexts):
-        print(
-            os.path.join(wav_path_for_annotations_txt, f) + ".wav",
-            t,
-            sep="|",
-            file=outfile_f,
-        )
-    outfile_f.close()
-    write_txt(punct_with_space, os.path.join(out_path_for_txts, "punc.txt"))
-    write_txt(chars, os.path.join(out_path_for_txts, "chars.txt"))
-
-    save_train_test_valid_split(
-        annotations_txt=outfile,
-        num_samples_valid=num_samples_valid,
-        num_samples_test=num_samples_test,
-    )
-
-
-
-
-if __name__ == "__main__":
-
-
-    parser = argparse.ArgumentParser()
-    parser.add_argument("-i", "--text-path", type=str, required=True)
-    parser.add_argument("-o", "--output-path", type=str, required=True)
-    parser.add_argument("-w", "--wav-path", type=str, required=True)
-    parser.add_argument("-v", "--valid-samples", type=int, default = 100)
-    parser.add_argument("-t", "--test-samples", type=int, default = 10)
-    args = parser.parse_args()
-
-    save_txts_from_txt_done_data(
-        args.text_path,
-        args.wav_path,
-        args.output_path,
-        args.valid_samples,
-        args.test_samples,
-    )
diff --git a/spaces/Harveenchadha/Vakyansh-Tamil-TTS/ttsv/utils/inference/advanced_tts.py b/spaces/Harveenchadha/Vakyansh-Tamil-TTS/ttsv/utils/inference/advanced_tts.py
deleted file mode 100644
index 6f8e2f5870e0f7dcd28c35c71cde58de6f1ae415..0000000000000000000000000000000000000000
--- a/spaces/Harveenchadha/Vakyansh-Tamil-TTS/ttsv/utils/inference/advanced_tts.py
+++ /dev/null
@@ -1,155 +0,0 @@
-
-from .tts import TextToMel, MelToWav
-from .transliterate import XlitEngine
-from .num_to_word_on_sent import normalize_nums
-
-import re
-import numpy as np
-from scipy.io.wavfile import write
-
-from mosestokenizer import *
-from indicnlp.tokenize import sentence_tokenize
-import argparse
-
-_INDIC = ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"]
-_PURAM_VIRAM_LANGUAGES = ["hi", "or", "bn", "as"]
-_TRANSLITERATION_NOT_AVAILABLE_IN = ["en","or"]
-#_NUM2WORDS_NOT_AVAILABLE_IN = []
-
-def normalize_text(text, lang):
-    if lang in _PURAM_VIRAM_LANGUAGES:
-        text = text.replace('|', '।')
-        text = text.replace('.', '।')
-    return text
-
-def split_sentences(paragraph, language):
-    if language == "en":
-        with MosesSentenceSplitter(language) as splitter:
-            return splitter([paragraph])
-    elif language in _INDIC:
-        return sentence_tokenize.sentence_split(paragraph, lang=language)
-
-
-
-def load_models(acoustic, vocoder, device):
-    text_to_mel = TextToMel(glow_model_dir=acoustic, device=device)
-    mel_to_wav = MelToWav(hifi_model_dir=vocoder, device=device)
-    return text_to_mel, mel_to_wav
-
-
-def translit(text, lang):
-    reg = re.compile(r'[a-zA-Z]')
-    words = [engine.translit_word(word, topk=1)[lang][0] if reg.match(word) else word for word in text.split()]
-    updated_sent = ' '.join(words)
-    return updated_sent
-    
-
-
-def run_tts(text, lang, args):
-    if lang == 'hi':
-        text = text.replace('।', '.') # only for hindi models
-    
-    if lang == 'en' and text[-1] != '.':
-            text = text + '. '
-    
-    if args.number_conversion == 1 and lang!='en':
-        print("Doing number conversion")
-        text_num_to_word = normalize_nums(text, lang) # converting numbers to words in lang
-    else:
-        text_num_to_word = text
-
-
-    if args.transliteration == 1 and lang not in _TRANSLITERATION_NOT_AVAILABLE_IN:
-        print("Doing transliteration")
-        text_num_to_word_and_transliterated = translit(text_num_to_word, lang) # transliterating english words to lang
-    else:
-        text_num_to_word_and_transliterated = text_num_to_word
-
-    final_text = ' ' + text_num_to_word_and_transliterated
-    print(final_text)
-    mel = text_to_mel.generate_mel(final_text, args.noise_scale, args.length_scale)
-    audio, sr = mel_to_wav.generate_wav(mel)
-    return sr, audio
-
-def run_tts_paragraph(args):
-    audio_list = []
-
-    global text_to_mel
-    global mel_to_wav
-
-    if args.gender == 'Male':
-        text_to_mel = text_to_mel_list[1]
-        mel_to_wav = mel_to_wav_list[1]
-    else:
-        text_to_mel = text_to_mel_list[0]
-        mel_to_wav = mel_to_wav_list[0]
-
-
-    if args.split_sentences == 1:
-        text = normalize_text(args.text, args.lang)
-        split_sentences_list = split_sentences(text, args.lang)
-
-        for sent in split_sentences_list:
-            
-            sr, audio = run_tts(sent, args.lang, args)
-            audio_list.append(audio)
-
-        concatenated_audio = np.concatenate([i for i in audio_list])
-        if args.wav:
-            write(filename=args.wav, rate=sr, data=concatenated_audio)
-        return (sr, concatenated_audio)
-    else:
-        sr, audio = run_tts(args.text, args.lang, args)
-        if args.wav:
-            write(filename=args.wav, rate=sr, data=audio)
-        return (sr, audio)
-
-
-def load_all_models(args):
-    global engine
-    if args.lang not in _TRANSLITERATION_NOT_AVAILABLE_IN:
-        engine = XlitEngine(args.lang) # loading translit model globally
-
-    global text_to_mel_list
-    global mel_to_wav_list
-
-    
-    text_to_mel_list = [] 
-    mel_to_wav_list = []
-    
-    for acoustic, vocoder in zip( args.acoustic.split(',') , args.vocoder.split(',') ):
-        ttm, mtw =  load_models(acoustic, vocoder, args.device)
-        text_to_mel_list.append(ttm)
-        mel_to_wav_list.append(mtw)
-
-    try:
-        args.noise_scale = float(args.noise_scale)
-        args.length_scale = float(args.length_scale)
-    except:
-        pass
-
-    print(args)
-
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument("-a", "--acoustic", required=True, type=str)
-    parser.add_argument("-v", "--vocoder", required=True, type=str)
-    parser.add_argument("-d", "--device", type=str, default="cpu")
-    parser.add_argument("-t", "--text", type=str, required=True)
-    parser.add_argument("-w", "--wav", type=str, required=True)
-    parser.add_argument("-n", "--noise-scale", default='0.667', type=str )
-    parser.add_argument("-l", "--length-scale", default='1.0', type=str)
-
-    parser.add_argument("-T", "--transliteration", default=1, type=int)
-    parser.add_argument("-N", "--number-conversion", default=1, type=int)
-    parser.add_argument("-S", "--split-sentences", default=1, type=int)
-    parser.add_argument("-L", "--lang", type=str, required=True)
-
-    args = parser.parse_args()
-
-    load_all_models(args)
-    run_tts_paragraph(args)
-
-    
diff --git a/spaces/HgMenon/Transcribe_V0.2/src/vadParallel.py b/spaces/HgMenon/Transcribe_V0.2/src/vadParallel.py
deleted file mode 100644
index c2323c0b632c34014ac1fe7ac79141b5bd9c5731..0000000000000000000000000000000000000000
--- a/spaces/HgMenon/Transcribe_V0.2/src/vadParallel.py
+++ /dev/null
@@ -1,298 +0,0 @@
-import multiprocessing
-from queue import Empty
-import threading
-import time
-from src.hooks.progressListener import ProgressListener
-from src.vad import AbstractTranscription, TranscriptionConfig, get_audio_duration
-
-from multiprocessing import Pool, Queue
-
-from typing import Any, Dict, List, Union
-import os
-
-from src.whisper.abstractWhisperContainer import AbstractWhisperCallback
-
-class _ProgressListenerToQueue(ProgressListener):
-    def __init__(self, progress_queue: Queue):
-        self.progress_queue = progress_queue
-        self.progress_total = 0
-        self.prev_progress = 0
-
-    def on_progress(self, current: Union[int, float], total: Union[int, float]):
-        delta = current - self.prev_progress
-        self.prev_progress = current
-        self.progress_total = total
-        self.progress_queue.put(delta)
-
-    def on_finished(self):
-        if self.progress_total > self.prev_progress:
-            delta = self.progress_total - self.prev_progress
-            self.progress_queue.put(delta)
-            self.prev_progress = self.progress_total
-
-class ParallelContext:
-    def __init__(self, num_processes: int = None, auto_cleanup_timeout_seconds: float = None):
-        self.num_processes = num_processes
-        self.auto_cleanup_timeout_seconds = auto_cleanup_timeout_seconds
-        self.lock = threading.Lock()
-
-        self.ref_count = 0
-        self.pool = None
-        self.cleanup_timer = None
-
-    def get_pool(self):
-        # Initialize pool lazily
-        if (self.pool is None):
-            context = multiprocessing.get_context('spawn')
-            self.pool = context.Pool(self.num_processes)
-
-        self.ref_count = self.ref_count + 1
-
-        if (self.auto_cleanup_timeout_seconds is not None):
-            self._stop_auto_cleanup()
-
-        return self.pool
-
-    def return_pool(self, pool):
-        if (self.pool == pool and self.ref_count > 0):
-            self.ref_count = self.ref_count - 1
-
-            if (self.ref_count == 0):
-                if (self.auto_cleanup_timeout_seconds is not None):
-                    self._start_auto_cleanup()
-
-    def _start_auto_cleanup(self):
-        if (self.cleanup_timer is not None):
-            self.cleanup_timer.cancel()
-        self.cleanup_timer = threading.Timer(self.auto_cleanup_timeout_seconds, self._execute_cleanup)
-        self.cleanup_timer.start()
-
-        print("Started auto cleanup of pool in " + str(self.auto_cleanup_timeout_seconds) + " seconds")
-
-    def _stop_auto_cleanup(self):
-        if (self.cleanup_timer is not None):
-            self.cleanup_timer.cancel()
-            self.cleanup_timer = None
-
-            print("Stopped auto cleanup of pool")
-
-    def _execute_cleanup(self):
-        print("Executing cleanup of pool")
-
-        if (self.ref_count == 0):
-            self.close()
-
-    def close(self):
-        self._stop_auto_cleanup()
-
-        if (self.pool is not None):
-            print("Closing pool of " + str(self.num_processes) + " processes")
-            self.pool.close()
-            self.pool.join()
-        self.pool = None
-
-class ParallelTranscriptionConfig(TranscriptionConfig):
-    def __init__(self, device_id: str, override_timestamps, initial_segment_index, copy: TranscriptionConfig = None):
-        super().__init__(copy.non_speech_strategy, copy.segment_padding_left, copy.segment_padding_right, copy.max_silent_period, copy.max_merge_size, copy.max_prompt_window, initial_segment_index)
-        self.device_id = device_id
-        self.override_timestamps = override_timestamps
-
-class ParallelTranscription(AbstractTranscription):
-    # Silero VAD typically takes about 3 seconds per minute, so there's no need to split the chunks 
-    # into smaller segments than 2 minute (min 6 seconds per CPU core)
-    MIN_CPU_CHUNK_SIZE_SECONDS = 2 * 60
-
-    def __init__(self, sampling_rate: int = 16000):
-        super().__init__(sampling_rate=sampling_rate)
-
-    def transcribe_parallel(self, transcription: AbstractTranscription, audio: str, whisperCallable: AbstractWhisperCallback, config: TranscriptionConfig, 
-                            cpu_device_count: int, gpu_devices: List[str], cpu_parallel_context: ParallelContext = None, gpu_parallel_context: ParallelContext = None, 
-                            progress_listener: ProgressListener = None):
-        total_duration = get_audio_duration(audio)
-
-        # First, get the timestamps for the original audio
-        if (cpu_device_count > 1 and not transcription.is_transcribe_timestamps_fast()):
-            merged = self._get_merged_timestamps_parallel(transcription, audio, config, total_duration, cpu_device_count, cpu_parallel_context)
-        else:
-            timestamp_segments = transcription.get_transcribe_timestamps(audio, config, 0, total_duration)
-            merged = transcription.get_merged_timestamps(timestamp_segments, config, total_duration)
-
-        # We must make sure the whisper model is downloaded
-        if (len(gpu_devices) > 1):
-            whisperCallable.model_container.ensure_downloaded()
-
-        # Split into a list for each device
-        # TODO: Split by time instead of by number of chunks
-        merged_split = list(self._split(merged, len(gpu_devices)))
-
-        # Parameters that will be passed to the transcribe function
-        parameters = []
-        segment_index = config.initial_segment_index
-
-        processing_manager = multiprocessing.Manager()
-        progress_queue = processing_manager.Queue()
-
-        for i in range(len(gpu_devices)):
-            # Note that device_segment_list can be empty. But we will still create a process for it,
-            # as otherwise we run the risk of assigning the same device to multiple processes.
-            device_segment_list = list(merged_split[i]) if i < len(merged_split) else []
-            device_id = gpu_devices[i]
-
-            print("Device " + str(device_id) + " (index " + str(i) + ") has " + str(len(device_segment_list)) + " segments")
-
-            # Create a new config with the given device ID
-            device_config = ParallelTranscriptionConfig(device_id, device_segment_list, segment_index, config)
-            segment_index += len(device_segment_list)
-
-            progress_listener_to_queue = _ProgressListenerToQueue(progress_queue)
-            parameters.append([audio, whisperCallable, device_config, progress_listener_to_queue]);
-
-        merged = {
-            'text': '',
-            'segments': [],
-            'language': None
-        }
-
-        created_context = False
-
-        perf_start_gpu = time.perf_counter()
-
-        # Spawn a separate process for each device
-        try:
-            if (gpu_parallel_context is None):
-                gpu_parallel_context = ParallelContext(len(gpu_devices))
-                created_context = True
-
-            # Get a pool of processes
-            pool = gpu_parallel_context.get_pool()
-
-            # Run the transcription in parallel
-            results_async = pool.starmap_async(self.transcribe, parameters)
-            total_progress = 0
-
-            while not results_async.ready():
-                try:
-                    delta = progress_queue.get(timeout=5)  # Set a timeout of 5 seconds
-                except Empty:
-                    continue
-                
-                total_progress += delta
-                if progress_listener is not None:
-                    progress_listener.on_progress(total_progress, total_duration)
-
-            results = results_async.get()
-
-            # Call the finished callback
-            if progress_listener is not None:
-                progress_listener.on_finished()
-
-            for result in results:
-                # Merge the results
-                if (result['text'] is not None):
-                    merged['text'] += result['text']
-                if (result['segments'] is not None):
-                    merged['segments'].extend(result['segments'])
-                if (result['language'] is not None):
-                    merged['language'] = result['language']
-
-        finally:
-            # Return the pool to the context
-            if (gpu_parallel_context is not None):
-                gpu_parallel_context.return_pool(pool)
-            # Always close the context if we created it
-            if (created_context):
-                gpu_parallel_context.close()
-
-        perf_end_gpu = time.perf_counter()
-        print("Parallel transcription took " + str(perf_end_gpu - perf_start_gpu) + " seconds")
-
-        return merged
-
-    def _get_merged_timestamps_parallel(self, transcription: AbstractTranscription, audio: str, config: TranscriptionConfig, total_duration: float, 
-                                       cpu_device_count: int, cpu_parallel_context: ParallelContext = None):
-        parameters = []
-
-        chunk_size = max(total_duration / cpu_device_count, self.MIN_CPU_CHUNK_SIZE_SECONDS)
-        chunk_start = 0
-        cpu_device_id = 0
-
-        perf_start_time = time.perf_counter()
-
-        # Create chunks that will be processed on the CPU
-        while (chunk_start < total_duration):
-            chunk_end = min(chunk_start + chunk_size, total_duration)
-
-            if (chunk_end - chunk_start < 1):
-                # No need to process chunks that are less than 1 second
-                break
-
-            print("Parallel VAD: Executing chunk from " + str(chunk_start) + " to " + 
-                    str(chunk_end) + " on CPU device " + str(cpu_device_id))
-            parameters.append([audio, config, chunk_start, chunk_end]);
-
-            cpu_device_id += 1
-            chunk_start = chunk_end
-
-        created_context = False
-
-        # Spawn a separate process for each device
-        try:
-            if (cpu_parallel_context is None):
-                cpu_parallel_context = ParallelContext(cpu_device_count)
-                created_context = True
-
-            # Get a pool of processes
-            pool = cpu_parallel_context.get_pool()
-
-            # Run the transcription in parallel. Note that transcription must be picklable.
-            results = pool.starmap(transcription.get_transcribe_timestamps, parameters)
-
-            timestamps = []
-
-            # Flatten the results
-            for result in results:
-                timestamps.extend(result)
-
-            merged = transcription.get_merged_timestamps(timestamps, config, total_duration)
-
-            perf_end_time = time.perf_counter()
-            print("Parallel VAD processing took {} seconds".format(perf_end_time - perf_start_time))
-            return merged
-
-        finally:
-            # Return the pool to the context
-            if (cpu_parallel_context is not None):
-                cpu_parallel_context.return_pool(pool)
-            # Always close the context if we created it
-            if (created_context):
-                cpu_parallel_context.close()
-
-    def get_transcribe_timestamps(self, audio: str, config: ParallelTranscriptionConfig, start_time: float, duration: float):
-        return []
-
-    def get_merged_timestamps(self,  timestamps: List[Dict[str, Any]], config: ParallelTranscriptionConfig, total_duration: float):
-        # Override timestamps that will be processed
-        if (config.override_timestamps is not None):
-            print("(get_merged_timestamps) Using override timestamps of size " + str(len(config.override_timestamps)))
-            return config.override_timestamps
-        return super().get_merged_timestamps(timestamps, config, total_duration)
-
-    def transcribe(self, audio: str, whisperCallable: AbstractWhisperCallback, config: ParallelTranscriptionConfig, 
-                   progressListener: ProgressListener = None):
-        # Override device ID the first time
-        if (os.environ.get("INITIALIZED", None) is None):
-            os.environ["INITIALIZED"] = "1"
-
-            # Note that this may be None if the user didn't specify a device. In that case, Whisper will
-            # just use the default GPU device.
-            if (config.device_id is not None):
-                print("Using device " + config.device_id)
-                os.environ["CUDA_VISIBLE_DEVICES"] = config.device_id
-        
-        return super().transcribe(audio, whisperCallable, config, progressListener)
-
-    def _split(self, a, n):
-        """Split a list into n approximately equal parts."""
-        k, m = divmod(len(a), n)
-        return (a[i*k+min(i, m):(i+1)*k+min(i+1, m)] for i in range(n))
-
diff --git a/spaces/HiepPhuocSS/TimeSFormer/app.py b/spaces/HiepPhuocSS/TimeSFormer/app.py
deleted file mode 100644
index e03f55c03455b1825493ce934a325f3c168a7047..0000000000000000000000000000000000000000
--- a/spaces/HiepPhuocSS/TimeSFormer/app.py
+++ /dev/null
@@ -1,168 +0,0 @@
-import multiprocessing
-import os
-import time
-from typing import List, Tuple
-
-import cv2
-import numpy as np
-import pandas as pd
-import streamlit as st
-import torch
-from torch import Tensor
-from transformers import AutoFeatureExtractor, TimesformerForVideoClassification
-
-np.random.seed(0)
-
-st.set_page_config(
-    page_title="TimeSFormer",
-    page_icon="🧊",
-    layout="wide",
-    initial_sidebar_state="expanded",
-    menu_items={
-        "Get Help": "https://www.extremelycoolapp.com/help",
-        "Report a bug": "https://www.extremelycoolapp.com/bug",
-        "About": "# This is a header. This is an *extremely* cool app!",
-    },
-)
-
-
-def sample_frame_indices(
-    clip_len: int, frame_sample_rate: float, seg_len: int
-) -> np.ndarray:
-    converted_len = int(clip_len * frame_sample_rate)
-    end_idx = np.random.randint(converted_len, seg_len)
-    start_idx = end_idx - converted_len
-    indices = np.linspace(start_idx, end_idx, num=clip_len)
-    indices = np.clip(indices, start_idx, end_idx - 1).astype(np.int64)
-    return indices
-
-
-# @st.cache_resource
-@st.experimental_singleton
-def load_model(model_name: str):
-    if "base-finetuned-k400" in model_name or "base-finetuned-k600" in model_name:
-        feature_extractor = AutoFeatureExtractor.from_pretrained(
-            "MCG-NJU/videomae-base-finetuned-kinetics"
-        )
-    else:
-        feature_extractor = AutoFeatureExtractor.from_pretrained(model_name)
-    model = TimesformerForVideoClassification.from_pretrained(model_name)
-    return feature_extractor, model
-
-
-def read_video(file_path: str, frames_per_video: int = 8) -> np.ndarray:
-    cap = cv2.VideoCapture(file_path)
-    length = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))  # 1000 frames
-    print("Number of frames", length)
-
-    indices = sample_frame_indices(
-        clip_len=frames_per_video, frame_sample_rate=4, seg_len=length
-    )
-
-    frames: List[np.array] = []
-    for i in indices:
-        cap.set(1, i)
-        ret, frame = cap.read()
-        if not ret:
-            continue
-        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-        frames.append(frame)
-    return np.array(frames)
-
-
-def read_video_decord(file_path: str) -> np.ndarray:
-    from decord import VideoReader, cpu
-
-    videoreader = VideoReader(VIDEO_TMP_PATH, num_threads=1, ctx=cpu(0))
-
-    # sample 8 frames
-    videoreader.seek(0)
-    indices = sample_frame_indices(
-        clip_len=8, frame_sample_rate=4, seg_len=len(videoreader)
-    )
-    video = videoreader.get_batch(indices).asnumpy()
-    # print(video.shape) # (8, 720, 1280, 3)
-    return video
-
-
-def inference(file_path: str, frames_per_video: int = 8):
-    video = read_video(file_path, frames_per_video)
-
-    inputs = feature_extractor(list(video), return_tensors="pt")
-
-    with torch.no_grad():
-        outputs = model(**inputs)
-        logits: Tensor = outputs.logits
-
-    # model predicts one of the 400 Kinetics-400 classes
-    predicted_label = logits.argmax(-1).item()
-    print(model.config.id2label[predicted_label])
-
-    TOP_K = 12
-    # logits = np.squeeze(logits)
-    logits = logits.squeeze().numpy()
-    indices = np.argsort(logits)[::-1][:TOP_K]
-    values = logits[indices]
-
-    results: List[Tuple[str, float]] = []
-    for index, value in zip(indices, values):
-        predicted_label = model.config.id2label[index]
-        # print(f"Label: {predicted_label} - {value:.2f}%")
-        results.append((predicted_label, value))
-
-    return pd.DataFrame(results, columns=("Label", "Confidence"))
-
-
-def get_frames_per_video(model_name: str) -> int:
-    if "base-finetuned" in model_name:
-        return 8
-    elif "hr-finetuned" in model_name:
-        return 16
-    else:
-        return 96
-
-
-st.title("TimeSFormer")
-
-with st.expander("INTRODUCTION"):
-    st.text(
-        f"""Streamlit demo for TimeSFormer. 
-        Number of CPU(s): {multiprocessing.cpu_count()}
-    """
-    )
-
-model_name = st.selectbox(
-    "model_name",
-    (
-        "facebook/timesformer-base-finetuned-k400",
-        "facebook/timesformer-base-finetuned-k600",
-        "facebook/timesformer-base-finetuned-ssv2",
-        "facebook/timesformer-hr-finetuned-k600",
-        "facebook/timesformer-hr-finetuned-k400",
-        "facebook/timesformer-hr-finetuned-ssv2",
-        "fcakyon/timesformer-large-finetuned-k400",
-        "fcakyon/timesformer-large-finetuned-k600",
-    ),
-)
-feature_extractor, model = load_model(model_name)
-
-frames_per_video = get_frames_per_video(model_name)
-st.info(f"Frames per video: {frames_per_video}")
-
-
-VIDEO_TMP_PATH = os.path.join("tmp", "tmp.mp4")
-uploadedfile = st.file_uploader("Upload file", type=["mp4"])
-
-
-if uploadedfile is not None:
-    with st.spinner():
-        with open(VIDEO_TMP_PATH, "wb") as f:
-            f.write(uploadedfile.getbuffer())
-
-    start_time = time.time()
-    with st.spinner("Processing..."):
-        df = inference(VIDEO_TMP_PATH, frames_per_video)
-    end_time = time.time()
-    st.info(f"{end_time - start_time} seconds")
-    st.dataframe(df)
-    st.video(VIDEO_TMP_PATH)
diff --git a/spaces/HighCWu/anime-colorization-with-hint/gradio-modified/gradio/outputs.py b/spaces/HighCWu/anime-colorization-with-hint/gradio-modified/gradio/outputs.py
deleted file mode 100644
index 2995fdcac85d750490df9b86d548aed452c876ec..0000000000000000000000000000000000000000
--- a/spaces/HighCWu/anime-colorization-with-hint/gradio-modified/gradio/outputs.py
+++ /dev/null
@@ -1,334 +0,0 @@
-# type: ignore
-"""
-This module defines various classes that can serve as the `output` to an interface. Each class must inherit from
-`OutputComponent`, and each class must define a path to its template. All of the subclasses of `OutputComponent` are
-automatically added to a registry, which allows them to be easily referenced in other parts of the code.
-"""
-
-from __future__ import annotations
-
-import warnings
-from typing import Dict, List, Optional
-
-from gradio import components
-
-
-class Textbox(components.Textbox):
-    def __init__(
-        self,
-        type: str = "text",
-        label: Optional[str] = None,
-    ):
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(label=label, type=type)
-
-
-class Image(components.Image):
-    """
-    Component displays an output image.
-    Output type: Union[numpy.array, PIL.Image, str, matplotlib.pyplot, Tuple[Union[numpy.array, PIL.Image, str], List[Tuple[str, float, float, float, float]]]]
-    """
-
-    def __init__(
-        self, type: str = "auto", plot: bool = False, label: Optional[str] = None
-    ):
-        """
-        Parameters:
-        type (str): Type of value to be passed to component. "numpy" expects a numpy array with shape (width, height, 3), "pil" expects a PIL image object, "file" expects a file path to the saved image or a remote URL, "plot" expects a matplotlib.pyplot object, "auto" detects return type.
-        plot (bool): DEPRECATED. Whether to expect a plot to be returned by the function.
-        label (str): component name in interface.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        if plot:
-            type = "plot"
-        super().__init__(type=type, label=label)
-
-
-class Video(components.Video):
-    """
-    Used for video output.
-    Output type: filepath
-    """
-
-    def __init__(self, type: Optional[str] = None, label: Optional[str] = None):
-        """
-        Parameters:
-        type (str): Type of video format to be passed to component, such as 'avi' or 'mp4'. Use 'mp4' to ensure browser playability. If set to None, video will keep returned format.
-        label (str): component name in interface.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(format=type, label=label)
-
-
-class Audio(components.Audio):
-    """
-    Creates an audio player that plays the output audio.
-    Output type: Union[Tuple[int, numpy.array], str]
-    """
-
-    def __init__(self, type: str = "auto", label: Optional[str] = None):
-        """
-        Parameters:
-        type (str): Type of value to be passed to component. "numpy" returns a 2-set tuple with an integer sample_rate and the data as 16-bit int numpy.array of shape (samples, 2), "file" returns a temporary file path to the saved wav audio file, "auto" detects return type.
-        label (str): component name in interface.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(type=type, label=label)
-
-
-class File(components.File):
-    """
-    Used for file output.
-    Output type: Union[file-like, str]
-    """
-
-    def __init__(self, label: Optional[str] = None):
-        """
-        Parameters:
-        label (str): component name in interface.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(label=label)
-
-
-class Dataframe(components.Dataframe):
-    """
-    Component displays 2D output through a spreadsheet interface.
-    Output type: Union[pandas.DataFrame, numpy.array, List[Union[str, float]], List[List[Union[str, float]]]]
-    """
-
-    def __init__(
-        self,
-        headers: Optional[List[str]] = None,
-        max_rows: Optional[int] = 20,
-        max_cols: Optional[int] = None,
-        overflow_row_behaviour: str = "paginate",
-        type: str = "auto",
-        label: Optional[str] = None,
-    ):
-        """
-        Parameters:
-        headers (List[str]): Header names to dataframe. Only applicable if type is "numpy" or "array".
-        max_rows (int): Maximum number of rows to display at once. Set to None for infinite.
-        max_cols (int): Maximum number of columns to display at once. Set to None for infinite.
-        overflow_row_behaviour (str): If set to "paginate", will create pages for overflow rows. If set to "show_ends", will show initial and final rows and truncate middle rows.
-        type (str): Type of value to be passed to component. "pandas" for pandas dataframe, "numpy" for numpy array, or "array" for Python array, "auto" detects return type.
-        label (str): component name in interface.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(
-            headers=headers,
-            type=type,
-            label=label,
-            max_rows=max_rows,
-            max_cols=max_cols,
-            overflow_row_behaviour=overflow_row_behaviour,
-        )
-
-
-class Timeseries(components.Timeseries):
-    """
-    Component accepts pandas.DataFrame.
-    Output type: pandas.DataFrame
-    """
-
-    def __init__(
-        self, x: str = None, y: str | List[str] = None, label: Optional[str] = None
-    ):
-        """
-        Parameters:
-        x (str): Column name of x (time) series. None if csv has no headers, in which case first column is x series.
-        y (Union[str, List[str]]): Column name of y series, or list of column names if multiple series. None if csv has no headers, in which case every column after first is a y series.
-        label (str): component name in interface.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(x=x, y=y, label=label)
-
-
-class State(components.State):
-    """
-    Special hidden component that stores state across runs of the interface.
-    Output type: Any
-    """
-
-    def __init__(self, label: Optional[str] = None):
-        """
-        Parameters:
-        label (str): component name in interface (not used).
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import this component as gr.State() from gradio.components",
-        )
-        super().__init__(label=label)
-
-
-class Label(components.Label):
-    """
-    Component outputs a classification label, along with confidence scores of top categories if provided. Confidence scores are represented as a dictionary mapping labels to scores between 0 and 1.
-    Output type: Union[Dict[str, float], str, int, float]
-    """
-
-    def __init__(
-        self,
-        num_top_classes: Optional[int] = None,
-        type: str = "auto",
-        label: Optional[str] = None,
-    ):
-        """
-        Parameters:
-        num_top_classes (int): number of most confident classes to show.
-        type (str): Type of value to be passed to component. "value" expects a single out label, "confidences" expects a dictionary mapping labels to confidence scores, "auto" detects return type.
-        label (str): component name in interface.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(num_top_classes=num_top_classes, type=type, label=label)
-
-
-class KeyValues:
-    """
-    Component displays a table representing values for multiple fields.
-    Output type: Union[Dict, List[Tuple[str, Union[str, int, float]]]]
-    """
-
-    def __init__(self, value: str = " ", *, label: Optional[str] = None, **kwargs):
-        """
-        Parameters:
-        value (str): IGNORED
-        label (str): component name in interface.
-        """
-        raise DeprecationWarning(
-            "The KeyValues component is deprecated. Please use the DataFrame or JSON "
-            "components instead."
-        )
-
-
-class HighlightedText(components.HighlightedText):
-    """
-    Component creates text that contains spans that are highlighted by category or numerical value.
-    Output is represent as a list of Tuple pairs, where the first element represents the span of text represented by the tuple, and the second element represents the category or value of the text.
-    Output type: List[Tuple[str, Union[float, str]]]
-    """
-
-    def __init__(
-        self,
-        color_map: Dict[str, str] = None,
-        label: Optional[str] = None,
-        show_legend: bool = False,
-    ):
-        """
-        Parameters:
-        color_map (Dict[str, str]): Map between category and respective colors
-        label (str): component name in interface.
-        show_legend (bool): whether to show span categories in a separate legend or inline.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(color_map=color_map, label=label, show_legend=show_legend)
-
-
-class JSON(components.JSON):
-    """
-    Used for JSON output. Expects a JSON string or a Python object that is JSON serializable.
-    Output type: Union[str, Any]
-    """
-
-    def __init__(self, label: Optional[str] = None):
-        """
-        Parameters:
-        label (str): component name in interface.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(label=label)
-
-
-class HTML(components.HTML):
-    """
-    Used for HTML output. Expects an HTML valid string.
-    Output type: str
-    """
-
-    def __init__(self, label: Optional[str] = None):
-        """
-        Parameters:
-        label (str): component name in interface.
-        """
-        super().__init__(label=label)
-
-
-class Carousel(components.Carousel):
-    """
-    Component displays a set of output components that can be scrolled through.
-    """
-
-    def __init__(
-        self,
-        components: components.Component | List[components.Component],
-        label: Optional[str] = None,
-    ):
-        """
-        Parameters:
-        components (Union[List[Component], Component]): Classes of component(s) that will be scrolled through.
-        label (str): component name in interface.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(components=components, label=label)
-
-
-class Chatbot(components.Chatbot):
-    """
-    Component displays a chatbot output showing both user submitted messages and responses
-    Output type: List[Tuple[str, str]]
-    """
-
-    def __init__(self, label: Optional[str] = None):
-        """
-        Parameters:
-        label (str): component name in interface (not used).
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(label=label)
-
-
-class Image3D(components.Model3D):
-    """
-    Used for 3D image model output.
-    Input type: File object of type (.obj, glb, or .gltf)
-    """
-
-    def __init__(
-        self,
-        clear_color=None,
-        label: Optional[str] = None,
-    ):
-        """
-        Parameters:
-        label (str): component name in interface.
-        optional (bool): If True, the interface can be submitted with no uploaded image, in which case the input value is None.
-        """
-        warnings.warn(
-            "Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components",
-        )
-        super().__init__(clear_color=clear_color, label=label)
diff --git a/spaces/HighCWu/anime-colorization-with-hint/gradio-modified/gradio/templates/frontend/assets/index.52c17744.js b/spaces/HighCWu/anime-colorization-with-hint/gradio-modified/gradio/templates/frontend/assets/index.52c17744.js
deleted file mode 100644
index 14891bd2f3b46004e51054f0e9b72a0642dbae9d..0000000000000000000000000000000000000000
--- a/spaces/HighCWu/anime-colorization-with-hint/gradio-modified/gradio/templates/frontend/assets/index.52c17744.js
+++ /dev/null
@@ -1,2 +0,0 @@
-import{S as q,i as E,s as F,a7 as O,e as C,t as I,f as k,g as S,h as K,n as D,c as h,a as L,b as P,ae as R,m,af as T,l as U,j as g,k as w,o as v,C as V,F as z,ag as A,P as G,R as H,T as J,I as M,O as N,U as Q,V as W,L as X,K as Y}from"./index.396f4a72.js";function j(a,l,t){const n=a.slice();return n[7]=l[t],n}function Z(a){let l;return{c(){l=I(a[1])},m(t,n){k(t,l,n)},p(t,n){n&2&&K(l,t[1])},d(t){t&&D(l)}}}function B(a){let l,t=a[7]+"",n,s;return{c(){l=C("option"),n=I(t),l.__value=s=a[7],l.value=l.__value},m(i,_){k(i,l,_),S(l,n)},p(i,_){_&4&&t!==(t=i[7]+"")&&K(n,t),_&4&&s!==(s=i[7])&&(l.__value=s,l.value=l.__value)},d(i){i&&D(l)}}}function y(a){let l,t,n,s,i,_,d;t=new O({props:{show_label:a[4],$$slots:{default:[Z]},$$scope:{ctx:a}}});let r=a[2],u=[];for(let e=0;e<r.length;e+=1)u[e]=B(j(a,r,e));return{c(){l=C("label"),h(t.$$.fragment),n=L(),s=C("select");for(let e=0;e<u.length;e+=1)u[e].c();P(s,"class","gr-box gr-input w-full disabled:cursor-not-allowed"),s.disabled=a[3],a[0]===void 0&&R(()=>a[5].call(s))},m(e,c){k(e,l,c),m(t,l,null),S(l,n),S(l,s);for(let b=0;b<u.length;b+=1)u[b].m(s,null);T(s,a[0]),i=!0,_||(d=U(s,"change",a[5]),_=!0)},p(e,[c]){const b={};if(c&16&&(b.show_label=e[4]),c&1026&&(b.$$scope={dirty:c,ctx:e}),t.$set(b),c&4){r=e[2];let f;for(f=0;f<r.length;f+=1){const o=j(e,r,f);u[f]?u[f].p(o,c):(u[f]=B(o),u[f].c(),u[f].m(s,null))}for(;f<u.length;f+=1)u[f].d(1);u.length=r.length}(!i||c&8)&&(s.disabled=e[3]),c&5&&T(s,e[0])},i(e){i||(g(t.$$.fragment,e),i=!0)},o(e){w(t.$$.fragment,e),i=!1},d(e){e&&D(l),v(t),V(u,e),_=!1,d()}}}function p(a,l,t){let{label:n}=l,{value:s=void 0}=l,{choices:i}=l,{disabled:_=!1}=l,{show_label:d}=l;const r=z();function u(){s=A(this),t(0,s),t(2,i)}return a.$$set=e=>{"label"in e&&t(1,n=e.label),"value"in e&&t(0,s=e.value),"choices"in e&&t(2,i=e.choices),"disabled"in e&&t(3,_=e.disabled),"show_label"in e&&t(4,d=e.show_label)},a.$$.update=()=>{a.$$.dirty&1&&r("change",s)},[s,n,i,_,d,u]}class x extends q{constructor(l){super(),E(this,l,p,y,F,{label:1,value:0,choices:2,disabled:3,show_label:4})}}function $(a){let l,t,n,s,i;const _=[a[7]];let d={};for(let e=0;e<_.length;e+=1)d=H(d,_[e]);l=new J({props:d});function r(e){a[9](e)}let u={choices:a[4],label:a[1],show_label:a[5],disabled:a[8]==="static"};return a[0]!==void 0&&(u.value=a[0]),n=new x({props:u}),M.push(()=>N(n,"value",r)),n.$on("change",a[10]),{c(){h(l.$$.fragment),t=L(),h(n.$$.fragment)},m(e,c){m(l,e,c),k(e,t,c),m(n,e,c),i=!0},p(e,c){const b=c&128?Q(_,[W(e[7])]):{};l.$set(b);const f={};c&16&&(f.choices=e[4]),c&2&&(f.label=e[1]),c&32&&(f.show_label=e[5]),c&256&&(f.disabled=e[8]==="static"),!s&&c&1&&(s=!0,f.value=e[0],X(()=>s=!1)),n.$set(f)},i(e){i||(g(l.$$.fragment,e),g(n.$$.fragment,e),i=!0)},o(e){w(l.$$.fragment,e),w(n.$$.fragment,e),i=!1},d(e){v(l,e),e&&D(t),v(n,e)}}}function ee(a){let l,t;return l=new G({props:{visible:a[3],elem_id:a[2],disable:typeof a[6].container=="boolean"&&!a[6].container,$$slots:{default:[$]},$$scope:{ctx:a}}}),{c(){h(l.$$.fragment)},m(n,s){m(l,n,s),t=!0},p(n,[s]){const i={};s&8&&(i.visible=n[3]),s&4&&(i.elem_id=n[2]),s&64&&(i.disable=typeof n[6].container=="boolean"&&!n[6].container),s&2483&&(i.$$scope={dirty:s,ctx:n}),l.$set(i)},i(n){t||(g(l.$$.fragment,n),t=!0)},o(n){w(l.$$.fragment,n),t=!1},d(n){v(l,n)}}}function le(a,l,t){let{label:n="Dropdown"}=l,{elem_id:s=""}=l,{visible:i=!0}=l,{value:_=""}=l,{choices:d}=l,{show_label:r}=l,{style:u={}}=l,{loading_status:e}=l,{mode:c}=l;function b(o){_=o,t(0,_)}function f(o){Y.call(this,a,o)}return a.$$set=o=>{"label"in o&&t(1,n=o.label),"elem_id"in o&&t(2,s=o.elem_id),"visible"in o&&t(3,i=o.visible),"value"in o&&t(0,_=o.value),"choices"in o&&t(4,d=o.choices),"show_label"in o&&t(5,r=o.show_label),"style"in o&&t(6,u=o.style),"loading_status"in o&&t(7,e=o.loading_status),"mode"in o&&t(8,c=o.mode)},[_,n,s,i,d,r,u,e,c,b,f]}class te extends q{constructor(l){super(),E(this,l,le,ee,F,{label:1,elem_id:2,visible:3,value:0,choices:4,show_label:5,style:6,loading_status:7,mode:8})}}var ne=te;const se=["static","dynamic"],ie=a=>({type:"string",description:"selected choice",example_data:a.choices.length?a.choices[0]:""});export{ne as Component,ie as document,se as modes};
-//# sourceMappingURL=index.52c17744.js.map
diff --git a/spaces/Hina4867/bingo/src/pages/api/kblob.ts b/spaces/Hina4867/bingo/src/pages/api/kblob.ts
deleted file mode 100644
index 0ce7e6063cdc06838e76f1cff1d5982d34ef52de..0000000000000000000000000000000000000000
--- a/spaces/Hina4867/bingo/src/pages/api/kblob.ts
+++ /dev/null
@@ -1,56 +0,0 @@
-'use server'
-
-import { NextApiRequest, NextApiResponse } from 'next'
-import FormData from 'form-data'
-import { fetch } from '@/lib/isomorphic'
-import { KBlobRequest } from '@/lib/bots/bing/types'
-
-const API_DOMAIN = 'https://bing.vcanbb.top'
-
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '10mb' // Set desired value here
-    }
-  }
-}
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { knowledgeRequest, imageBase64 } = req.body as KBlobRequest
-
-    const formData = new FormData()
-    formData.append('knowledgeRequest', JSON.stringify(knowledgeRequest))
-    if (imageBase64) {
-      formData.append('imageBase64', imageBase64)
-    }
-
-    const response = await fetch(`${API_DOMAIN}/images/kblob`,
-      {
-        method: 'POST',
-        body: formData.getBuffer(),
-        headers: {
-          "sec-ch-ua": "\"Not/A)Brand\";v=\"99\", \"Google Chrome\";v=\"115\", \"Chromium\";v=\"115\"",
-          "sec-ch-ua-mobile": "?0",
-          "sec-ch-ua-platform": "\"Windows\"",
-          "Referer": `${API_DOMAIN}/web/index.html`,
-          "Referrer-Policy": "origin-when-cross-origin",
-          'x-ms-useragent': 'azsdk-js-api-client-factory/1.0.0-beta.1 core-rest-pipeline/1.10.0 OS/Win32',
-          ...formData.getHeaders()
-        }
-      }
-    ).then(res => res.text())
-
-    res.writeHead(200, {
-      'Content-Type': 'application/json',
-    })
-    res.end(response || JSON.stringify({ result: { value: 'UploadFailed', message: '请更换 IP 或代理后重试' } }))
-  } catch (e) {
-    return res.json({
-      result: {
-        value: 'UploadFailed',
-        message: `${e}`
-      }
-    })
-  }
-}
diff --git a/spaces/ICML2022/resefa/synthesis.py b/spaces/ICML2022/resefa/synthesis.py
deleted file mode 100644
index 398a65a25cf3c13861155292f03f87ef5ad01c8d..0000000000000000000000000000000000000000
--- a/spaces/ICML2022/resefa/synthesis.py
+++ /dev/null
@@ -1,178 +0,0 @@
-# python3.7
-"""Script that synthesizes images with pre-trained models.
-
-Support StyleGAN2 and StyleGAN3.
-"""
-
-import os
-import argparse
-from tqdm import tqdm
-import numpy as np
-
-import torch
-from models import build_model
-from utils.visualizers.html_visualizer import HtmlVisualizer
-from utils.image_utils import save_image, resize_image
-from utils.image_utils import postprocess_image
-from utils.custom_utils import to_numpy
-
-
-def parse_args():
-    """Parses arguments."""
-    parser = argparse.ArgumentParser()
-    group = parser.add_argument_group('General options.')
-    group.add_argument('weight_path', type=str,
-                       help='Weight path to the pre-trained model.')
-    group.add_argument('--save_dir', type=str, default=None,
-                       help='Directory to save the results. If not specified, '
-                            'the results will be saved to '
-                            '`work_dirs/{TASK_SPECIFIC}/` by default.')
-    group.add_argument('--job', type=str, default='synthesize',
-                       help='Name for the job. (default: synthesize)')
-    group.add_argument('--seed', type=int, default=4,
-                       help='Seed for sampling. (default: 4)')
-    group.add_argument('--nums', type=int, default=100,
-                       help='Number of samples to synthesized. (default: 100)')
-    group.add_argument('--img_size', type=int, default=1024,
-                       help='Size of the synthesized images. (default: 1024)')
-    group.add_argument('--vis_size', type=int, default=256,
-                       help='Size of the visualize images. (default: 256)')
-    group.add_argument('--w_dim', type=int, default=512,
-                       help='Dimension of the latent w. (default: 512)')
-    group.add_argument('--batch_size', type=int, default=4,
-                       help='Batch size. (default: 4)')
-    group.add_argument('--save_jpg', action='store_true', default=False,
-                       help='Whether to save raw image. (default: False)')
-    group.add_argument('-d', '--data_name', type=str, default='ffhq',
-                       help='Name of the datasets. (default: ffhq)')
-    group.add_argument('--latent_path', type=str, default='',
-                       help='Path to the given latent codes. (default: None)')
-    group.add_argument('--trunc_psi', type=float, default=0.7,
-                       help='Psi factor used for truncation. (default: 0.7)')
-    group.add_argument('--trunc_layers', type=int, default=8,
-                       help='Number of layers to perform truncation.'
-                            ' (default: 8)')
-
-    group = parser.add_argument_group('StyleGAN2')
-    group.add_argument('--stylegan2', action='store_true',
-                       help='Whether or not using StyleGAN2. (default: False)')
-    group.add_argument('--scale_stylegan2', type=float, default=1.0,
-                       help='Scale for the number of channel fro stylegan2.')
-    group.add_argument('--randomize_noise', type=str, default='const',
-                       help='Noise type when synthesizing. (const or random)')
-
-    group = parser.add_argument_group('StyleGAN3')
-    group.add_argument('--stylegan3', action='store_true',
-                       help='Whether or not using StyleGAN3. (default: False)')
-    group.add_argument('--cfg', type=str, default='T',
-                       help='Config of the stylegan3 (T/R).')
-    group.add_argument('--scale_stylegan3r', type=float, default=2.0,
-                       help='Scale for the number of channel for stylegan3 R.')
-    group.add_argument('--scale_stylegan3t', type=float, default=1.0,
-                       help='Scale for the number of channel for stylegan3 T.')
-    group.add_argument('--tx', type=float, default=0,
-                       help='Translate X-coordinate. (default: 0.0)')
-    group.add_argument('--ty', type=float, default=0,
-                       help='Translate Y-coordinate. (default: 0.0)')
-    group.add_argument('--rotate', type=float, default=0,
-                       help='Rotation angle in degrees. (default: 0)')
-    return parser.parse_args()
-
-
-def main():
-    """Main function."""
-    args = parse_args()
-    # Parse model configuration.
-    assert (args.stylegan2 and not args.stylegan3) or \
-           (not args.stylegan2 and args.stylegan3)
-    job_disc = ''
-    if args.stylegan2:
-        config = dict(model_type='StyleGAN2Generator',
-                      resolution=args.img_size,
-                      w_dim=args.w_dim,
-                      fmaps_base=int(args.scale_stylegan2 * (32 << 10)),
-                      fmaps_max=512,)
-        job_disc += 'stylegan2'
-    else:
-        if args.stylegan3 and args.cfg == 'R':
-            config = dict(model_type='StyleGAN3Generator',
-                          resolution=args.img_size,
-                          w_dim=args.w_dim,
-                          fmaps_base=int(args.scale_stylegan3r * (32 << 10)),
-                          fmaps_max=1024,
-                          use_radial_filter=True,)
-            job_disc += 'stylegan3r'
-        elif args.stylegan3 and args.cfg == 'T':
-            config = dict(model_type='StyleGAN3Generator',
-                          resolution=args.img_size,
-                          w_dim=args.w_dim,
-                          fmaps_base=int(args.scale_stylegan3t * (32 << 10)),
-                          fmaps_max=512,
-                          use_radial_filter=False,
-                          kernel_size=3,)
-            job_disc += 'stylegan3t'
-        else:
-            raise TypeError(f'StyleGAN3 config type error, need `R/T`,'
-                            f' but got {args.cfg} instead.')
-
-    # Get work directory and job name.
-    save_dir = args.save_dir or f'work_dirs/{args.job}/{args.data_name}'
-    os.makedirs(save_dir, exist_ok=True)
-    job_name = f'seed_{args.seed}_num_{args.nums}_{job_disc}'
-    os.makedirs(f'{save_dir}/{job_name}', exist_ok=True)
-
-    # Build generation and get synthesis kwargs.
-    print('Building generator...')
-    generator = build_model(**config)
-    synthesis_kwargs = dict(trunc_psi=args.trunc_psi,
-                            trunc_layers=args.trunc_layers,)
-    # Load pre-trained weights.
-    checkpoint_path = args.weight_path
-    print(f'Loading checkpoint from `{checkpoint_path}` ...')
-    checkpoint = torch.load(checkpoint_path, map_location='cpu')['models']
-    if 'generator_smooth' in checkpoint:
-        generator.load_state_dict(checkpoint['generator_smooth'])
-    else:
-        generator.load_state_dict(checkpoint['generator'])
-    generator = generator.eval().cuda()
-    print('Finish loading checkpoint.')
-
-    np.random.seed(args.seed)
-    torch.manual_seed(args.seed)
-    if os.path.exists(args.latent_path):
-        latent_zs = np.load(args.latent_path)
-        latent_zs = latent_zs[:args.nums]
-    else:
-        latent_zs = np.random.randn(args.nums, generator.z_dim)
-    num_images = latent_zs.shape[0]
-    latent_zs = torch.from_numpy(latent_zs.astype(np.float32))
-    html = HtmlVisualizer(grid_size=num_images)
-    print(f'Synthesizing {num_images} images ...')
-    latent_ws = []
-    for batch_idx in tqdm(range(0, num_images, args.batch_size)):
-        latent_z = latent_zs[batch_idx:batch_idx + args.batch_size]
-        latent_z = latent_z.cuda()
-        with torch.no_grad():
-            g_outputs = generator(latent_z, **synthesis_kwargs)
-            g_image = to_numpy(g_outputs['image'])
-            images = postprocess_image(g_image)
-        for idx in range(images.shape[0]):
-            sub_idx = batch_idx + idx
-            img = images[idx]
-            row_idx, col_idx = divmod(sub_idx, html.num_cols)
-            image = resize_image(img, (args.vis_size, args.vis_size))
-            html.set_cell(row_idx, col_idx, image=image,
-                          text=f'Sample {sub_idx:06d}')
-            if args.save_jpg:
-                save_path = f'{save_dir}/{job_name}/{sub_idx:06d}.jpg'
-                save_image(save_path, img)
-        latent_ws.append(to_numpy(g_outputs['wp']))
-    latent_ws = np.concatenate(latent_ws, axis=0)
-    print(f'shape of the latent code: {latent_ws.shape}')
-    np.save(f'{save_dir}/{job_name}/latent_codes.npy', latent_ws)
-    html.save(f'{save_dir}/{job_name}.html')
-    print(f'Finish synthesizing {num_images} samples.')
-
-
-if __name__ == '__main__':
-    main()
diff --git a/spaces/IELTS8/ISF/custom.css b/spaces/IELTS8/ISF/custom.css
deleted file mode 100644
index 7d9401aa63c3afabb2e4ad546d87611ca268f15a..0000000000000000000000000000000000000000
--- a/spaces/IELTS8/ISF/custom.css
+++ /dev/null
@@ -1,191 +0,0 @@
-:root {
-    --chatbot-color-light: #F3F3F3;
-    --chatbot-color-dark: #121111;
-}
-
-/* status_display */
-#status_display {
-    display: flex;
-    min-height: 2.5em;
-    align-items: flex-end;
-    justify-content: flex-end;
-}
-#status_display p {
-    font-size: .85em;
-    font-family: monospace;
-    color: var(--body-text-color-subdued);
-}
-
-
-
-/* usage_display */
-#usage_display {
-    height: 1em;
-}
-#usage_display p{
-    padding: 0 1em;
-    font-size: .85em;
-    font-family: monospace;
-    color: var(--body-text-color-subdued);
-}
-/* list */
-ol:not(.options), ul:not(.options) {
-    padding-inline-start: 2em !important;
-}
-
-/* Thank @Keldos-Li for fixing it */
-/* Light mode (default) */
-#chuanhu_chatbot {
-    background-color: var(--chatbot-color-light) !important;
-    color: #000000 !important;
-}
-[data-testid = "bot"] {
-    background-color: #FFFFFF !important;
-}
-[data-testid = "user"] {
-    background-color: #95EC69 !important;
-}
-
-/* Dark mode */
-.dark #chuanhu_chatbot {
-    background-color: var(--chatbot-color-dark) !important;
-    color: #FFFFFF !important;
-}
-.dark [data-testid = "bot"] {
-    background-color: #2C2C2C !important;
-}
-.dark [data-testid = "user"] {
-    background-color: #26B561 !important;
-}
-
-#chuanhu_chatbot {
-    height: 100%;
-    min-height: 400px;
-}
-
-[class *= "message"] {
-    border-radius: var(--radius-xl) !important;
-    border: none;
-    padding: var(--spacing-xl) !important;
-    font-size: var(--text-md) !important;
-    line-height: var(--line-md) !important;
-    min-height: calc(var(--text-md)*var(--line-md) + 2*var(--spacing-xl));
-    min-width: calc(var(--text-md)*var(--line-md) + 2*var(--spacing-xl));
-}
-[data-testid = "bot"] {
-    max-width: 85%;
-    border-bottom-left-radius: 0 !important;
-}
-[data-testid = "user"] {
-    max-width: 85%;
-    width: auto !important;
-    border-bottom-right-radius: 0 !important;
-}
-/* Table */
-table {
-    margin: 1em 0;
-    border-collapse: collapse;
-    empty-cells: show;
-}
-td,th {
-    border: 1.2px solid var(--border-color-primary) !important;
-    padding: 0.2em;
-}
-thead {
-    background-color: rgba(175,184,193,0.2);
-}
-thead th {
-    padding: .5em .2em;
-}
-/* Inline code */
-#chuanhu_chatbot code {
-    display: inline;
-    white-space: break-spaces;
-    border-radius: 6px;
-    margin: 0 2px 0 2px;
-    padding: .2em .4em .1em .4em;
-    background-color: rgba(175,184,193,0.2);
-}
-/* Code block */
-#chuanhu_chatbot pre code {
-    display: block;
-    overflow: auto;
-    white-space: pre;
-    background-color: hsla(0, 0%, 0%, 80%)!important;
-    border-radius: 10px;
-    padding: 1.4em 1.2em 0em 1.4em;
-    margin: 1.2em 2em 1.2em 0.5em;
-    color: #FFF;
-    box-shadow: 6px 6px 16px hsla(0, 0%, 0%, 0.2);
-}
-/* Hightlight */
-#chuanhu_chatbot .highlight { background-color: transparent }
-#chuanhu_chatbot .highlight .hll { background-color: #49483e }
-#chuanhu_chatbot .highlight .c { color: #75715e } /* Comment */
-#chuanhu_chatbot .highlight .err { color: #960050; background-color: #1e0010 } /* Error */
-#chuanhu_chatbot .highlight .k { color: #66d9ef } /* Keyword */
-#chuanhu_chatbot .highlight .l { color: #ae81ff } /* Literal */
-#chuanhu_chatbot .highlight .n { color: #f8f8f2 } /* Name */
-#chuanhu_chatbot .highlight .o { color: #f92672 } /* Operator */
-#chuanhu_chatbot .highlight .p { color: #f8f8f2 } /* Punctuation */
-#chuanhu_chatbot .highlight .ch { color: #75715e } /* Comment.Hashbang */
-#chuanhu_chatbot .highlight .cm { color: #75715e } /* Comment.Multiline */
-#chuanhu_chatbot .highlight .cp { color: #75715e } /* Comment.Preproc */
-#chuanhu_chatbot .highlight .cpf { color: #75715e } /* Comment.PreprocFile */
-#chuanhu_chatbot .highlight .c1 { color: #75715e } /* Comment.Single */
-#chuanhu_chatbot .highlight .cs { color: #75715e } /* Comment.Special */
-#chuanhu_chatbot .highlight .gd { color: #f92672 } /* Generic.Deleted */
-#chuanhu_chatbot .highlight .ge { font-style: italic } /* Generic.Emph */
-#chuanhu_chatbot .highlight .gi { color: #a6e22e } /* Generic.Inserted */
-#chuanhu_chatbot .highlight .gs { font-weight: bold } /* Generic.Strong */
-#chuanhu_chatbot .highlight .gu { color: #75715e } /* Generic.Subheading */
-#chuanhu_chatbot .highlight .kc { color: #66d9ef } /* Keyword.Constant */
-#chuanhu_chatbot .highlight .kd { color: #66d9ef } /* Keyword.Declaration */
-#chuanhu_chatbot .highlight .kn { color: #f92672 } /* Keyword.Namespace */
-#chuanhu_chatbot .highlight .kp { color: #66d9ef } /* Keyword.Pseudo */
-#chuanhu_chatbot .highlight .kr { color: #66d9ef } /* Keyword.Reserved */
-#chuanhu_chatbot .highlight .kt { color: #66d9ef } /* Keyword.Type */
-#chuanhu_chatbot .highlight .ld { color: #e6db74 } /* Literal.Date */
-#chuanhu_chatbot .highlight .m { color: #ae81ff } /* Literal.Number */
-#chuanhu_chatbot .highlight .s { color: #e6db74 } /* Literal.String */
-#chuanhu_chatbot .highlight .na { color: #a6e22e } /* Name.Attribute */
-#chuanhu_chatbot .highlight .nb { color: #f8f8f2 } /* Name.Builtin */
-#chuanhu_chatbot .highlight .nc { color: #a6e22e } /* Name.Class */
-#chuanhu_chatbot .highlight .no { color: #66d9ef } /* Name.Constant */
-#chuanhu_chatbot .highlight .nd { color: #a6e22e } /* Name.Decorator */
-#chuanhu_chatbot .highlight .ni { color: #f8f8f2 } /* Name.Entity */
-#chuanhu_chatbot .highlight .ne { color: #a6e22e } /* Name.Exception */
-#chuanhu_chatbot .highlight .nf { color: #a6e22e } /* Name.Function */
-#chuanhu_chatbot .highlight .nl { color: #f8f8f2 } /* Name.Label */
-#chuanhu_chatbot .highlight .nn { color: #f8f8f2 } /* Name.Namespace */
-#chuanhu_chatbot .highlight .nx { color: #a6e22e } /* Name.Other */
-#chuanhu_chatbot .highlight .py { color: #f8f8f2 } /* Name.Property */
-#chuanhu_chatbot .highlight .nt { color: #f92672 } /* Name.Tag */
-#chuanhu_chatbot .highlight .nv { color: #f8f8f2 } /* Name.Variable */
-#chuanhu_chatbot .highlight .ow { color: #f92672 } /* Operator.Word */
-#chuanhu_chatbot .highlight .w { color: #f8f8f2 } /* Text.Whitespace */
-#chuanhu_chatbot .highlight .mb { color: #ae81ff } /* Literal.Number.Bin */
-#chuanhu_chatbot .highlight .mf { color: #ae81ff } /* Literal.Number.Float */
-#chuanhu_chatbot .highlight .mh { color: #ae81ff } /* Literal.Number.Hex */
-#chuanhu_chatbot .highlight .mi { color: #ae81ff } /* Literal.Number.Integer */
-#chuanhu_chatbot .highlight .mo { color: #ae81ff } /* Literal.Number.Oct */
-#chuanhu_chatbot .highlight .sa { color: #e6db74 } /* Literal.String.Affix */
-#chuanhu_chatbot .highlight .sb { color: #e6db74 } /* Literal.String.Backtick */
-#chuanhu_chatbot .highlight .sc { color: #e6db74 } /* Literal.String.Char */
-#chuanhu_chatbot .highlight .dl { color: #e6db74 } /* Literal.String.Delimiter */
-#chuanhu_chatbot .highlight .sd { color: #e6db74 } /* Literal.String.Doc */
-#chuanhu_chatbot .highlight .s2 { color: #e6db74 } /* Literal.String.Double */
-#chuanhu_chatbot .highlight .se { color: #ae81ff } /* Literal.String.Escape */
-#chuanhu_chatbot .highlight .sh { color: #e6db74 } /* Literal.String.Heredoc */
-#chuanhu_chatbot .highlight .si { color: #e6db74 } /* Literal.String.Interpol */
-#chuanhu_chatbot .highlight .sx { color: #e6db74 } /* Literal.String.Other */
-#chuanhu_chatbot .highlight .sr { color: #e6db74 } /* Literal.String.Regex */
-#chuanhu_chatbot .highlight .s1 { color: #e6db74 } /* Literal.String.Single */
-#chuanhu_chatbot .highlight .ss { color: #e6db74 } /* Literal.String.Symbol */
-#chuanhu_chatbot .highlight .bp { color: #f8f8f2 } /* Name.Builtin.Pseudo */
-#chuanhu_chatbot .highlight .fm { color: #a6e22e } /* Name.Function.Magic */
-#chuanhu_chatbot .highlight .vc { color: #f8f8f2 } /* Name.Variable.Class */
-#chuanhu_chatbot .highlight .vg { color: #f8f8f2 } /* Name.Variable.Global */
-#chuanhu_chatbot .highlight .vi { color: #f8f8f2 } /* Name.Variable.Instance */
-#chuanhu_chatbot .highlight .vm { color: #f8f8f2 } /* Name.Variable.Magic */
-#chuanhu_chatbot .highlight .il { color: #ae81ff } /* Literal.Number.Integer.Long */
diff --git a/spaces/Illumotion/Koboldcpp/include/CL/Utils/Platform.hpp b/spaces/Illumotion/Koboldcpp/include/CL/Utils/Platform.hpp
deleted file mode 100644
index 9957d76bae337809fd3546ac137d336dfdf347fd..0000000000000000000000000000000000000000
--- a/spaces/Illumotion/Koboldcpp/include/CL/Utils/Platform.hpp
+++ /dev/null
@@ -1,16 +0,0 @@
-#pragma once
-
-#include "OpenCLUtilsCpp_Export.h"
-#include <CL/Utils/Error.hpp>
-
-#include <CL/opencl.hpp>
-
-namespace cl {
-namespace util {
-    bool UTILSCPP_EXPORT supports_extension(const cl::Platform& platform,
-                                            const cl::string& extension);
-
-    bool UTILSCPP_EXPORT platform_version_contains(
-        const cl::Platform& platform, const cl::string& version_fragment);
-}
-}
diff --git a/spaces/Illumotion/Koboldcpp/tests/test-tokenizer-0-llama.py b/spaces/Illumotion/Koboldcpp/tests/test-tokenizer-0-llama.py
deleted file mode 100644
index bc164ee296cb1d6ff1ee28469ee913b7c345e12e..0000000000000000000000000000000000000000
--- a/spaces/Illumotion/Koboldcpp/tests/test-tokenizer-0-llama.py
+++ /dev/null
@@ -1,95 +0,0 @@
-# tests with SPM tokenizer
-
-import os
-import sys
-import argparse
-
-from sentencepiece import SentencePieceProcessor
-
-parser = argparse.ArgumentParser()
-parser.add_argument("dir_tokenizer", help="directory containing 'tokenizer.model' file")
-parser.add_argument("--fname-tok",   help="path to a text file to tokenize")
-args = parser.parse_args()
-
-dir_tokenizer = args.dir_tokenizer
-
-tokenizer = SentencePieceProcessor(dir_tokenizer + '/tokenizer.model')
-
-tests = [
-        "",
-        " ",
-        "  ",
-        "   ",
-        "\t",
-        "\n",
-        "\t\n",
-        "Hello world",
-        " Hello world",
-        "Hello World",
-        " Hello World",
-        " Hello World!",
-        "Hello, world!",
-        " Hello, world!",
-        " this is 🦙.cpp",
-        "w048 7tuijk dsdfhu",
-        "нещо на Български",
-        "កាន់តែពិសេសអាចខលចេញ",
-        "🚀 (normal) 😶‍🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)",
-        "Hello",
-        " Hello",
-        "  Hello",
-        "   Hello",
-        "    Hello",
-        "    Hello\n    Hello",
-    ]
-
-
-for text in tests:
-    print('text: ', text)
-    print('\nwith bos:')
-    print(tokenizer.encode(text, add_bos=True))
-    print(tokenizer.decode(tokenizer.encode(text, add_bos=True)))
-    print('\nwithout bos:')
-    print(tokenizer.encode(text, add_bos=False))
-    print(tokenizer.decode(tokenizer.encode(text, add_bos=False)))
-
-print("'" + tokenizer.id_to_piece(15043) + "'") # '_Hello'
-print("'" + tokenizer.id_to_piece(29871) + "'") # '_'
-print("'" + tokenizer.decode([15043]) + "'")        # 'Hello'
-print("'" + tokenizer.decode([15043, 15043]) + "'") # 'Hello Hello'
-print("'" + tokenizer.decode([29871, 15043]) + "'")               # ' Hello'
-print("'" + tokenizer.decode([29871, 15043, 29871, 15043]) + "'") # ' Hello  Hello'
-
-print("\n\ntests for C++:\n")
-for text in tests:
-    res = tokenizer.encode(text, add_bos=False)
-
-    k = text.replace('\n', '\\n')
-    k = k.replace('\t', '\\t')
-    k = '"' + k + '"'
-    print("{ %-24s, { " % k, end='')
-    for x in res:
-        print("%7d," % x, end='')
-    print(" }, },")
-
-print(tokenizer.encode('hello'))
-print(tokenizer.encode('world'))
-print(tokenizer.encode(' world'))
-print(tokenizer.encode('hello world'))
-
-fname_tok = args.fname_tok
-if fname_tok:
-    print('tokenizing file: ', fname_tok)
-    fname_out = fname_tok + '.tok'
-    with open(fname_tok, 'r') as f:
-        lines = f.readlines()
-        s = ''.join(lines)
-        res = tokenizer.encode(s, add_bos=True)
-        # write to file
-        with open(fname_out, 'w') as f:
-            for x in res:
-                f.write(str(x) + ' ')
-            f.write('\n')
-        print('len(res): ', len(res))
-        print('len(lines): ', len(lines))
-    print('results written to: ', fname_out)
diff --git a/spaces/Intel/qa_sparse_bert/README.md b/spaces/Intel/qa_sparse_bert/README.md
deleted file mode 100644
index 6d924fdb1b3020dd967661204da807f40ce962f2..0000000000000000000000000000000000000000
--- a/spaces/Intel/qa_sparse_bert/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Qa Sparse Bert
-emoji: 📉
-colorFrom: purple
-colorTo: blue
-sdk: gradio
-sdk_version: 3.15.0
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/IoMa/stable-diffusion-webui-cpu-the-best/app.py b/spaces/IoMa/stable-diffusion-webui-cpu-the-best/app.py
deleted file mode 100644
index e1bc7df8b7e4b2b49c3136bab0481b8f1c0e2154..0000000000000000000000000000000000000000
--- a/spaces/IoMa/stable-diffusion-webui-cpu-the-best/app.py
+++ /dev/null
@@ -1,154 +0,0 @@
-import os
-from sys import executable as pyexecutable
-import subprocess
-import pathlib
-import gc
-
-def Gitclone(URI:str,ClonePath:str = "") -> int :
-  if(ClonePath == "") :
-    while True:
-      i=subprocess.run([r"git",r"clone",URI])
-      if(i.returncode == 0 ): 
-       del i
-       gc.collect()
-       return 0
-      else :
-       del i
-  else: 
-    while True:
-      i=subprocess.run([r"git",r"clone",URI,ClonePath])
-      if(i.returncode == 0 ): 
-       del i
-       gc.collect()
-       return 0
-      else :
-       del i
-def DownLoad(URI:str,DownloadPath:str,DownLoadFileName:str ) -> int:
-  while (True):
-    i=subprocess.run([r"aria2c",r"-c",r"-x" ,r"16", r"-s",r"16", r"-k" ,r"1M" ,r"-m",r"0",r"--enable-mmap=false",r"--console-log-level=error",r"-d",DownloadPath,r"-o",DownLoadFileName,URI]);
-    if(i.returncode == 0 ): 
-      del i
-      gc.collect()
-      return 0
-    else :
-      del i
-user_home =pathlib.Path.home().resolve()
-os.chdir(str(user_home))
-#clone stable-diffusion-webui repo
-print("cloning stable-diffusion-webui repo")
-Gitclone(r"https://github.com/AUTOMATIC1111/stable-diffusion-webui.git",str(user_home / r"stable-diffusion-webui"))
-os.chdir(str(user_home / r"stable-diffusion-webui"))
-os.system("git reset --hard 89f9faa63388756314e8a1d96cf86bf5e0663045")
-#
-
-#install extensions
-print("installing extensions")
-Gitclone(r"https://huggingface.co/embed/negative",str(user_home / r"stable-diffusion-webui" / r"embeddings"  / r"negative"))
-Gitclone(r"https://huggingface.co/embed/lora",str(user_home / r"stable-diffusion-webui" / r"models" / r"Lora" / r"positive"))
-DownLoad(r"https://huggingface.co/embed/upscale/resolve/main/4x-UltraSharp.pth",str(user_home / r"stable-diffusion-webui" / r"models" / r"ESRGAN") ,r"4x-UltraSharp.pth")
-while True: 
-  if(subprocess.run([r"wget",r"https://raw.githubusercontent.com/camenduru/stable-diffusion-webui-scripts/main/run_n_times.py",r"-O",str(user_home / r"stable-diffusion-webui" / r"scripts" / r"run_n_times.py")]).returncode == 0):
-    break
-Gitclone(r"https://github.com/deforum-art/deforum-for-automatic1111-webui",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"deforum-for-automatic1111-webui" ))
-Gitclone(r"https://github.com/AlUlkesh/stable-diffusion-webui-images-browser",str(user_home / r"stable-diffusion-webui" / r"extensions"/ r"stable-diffusion-webui-images-browser"))
-Gitclone(r"https://github.com/camenduru/stable-diffusion-webui-huggingface",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"stable-diffusion-webui-huggingface"))
-Gitclone(r"https://github.com/camenduru/sd-civitai-browser",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd-civitai-browser"))
-Gitclone(r"https://github.com/kohya-ss/sd-webui-additional-networks",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd-webui-additional-networks"))
-Gitclone(r"https://github.com/Mikubill/sd-webui-controlnet",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd-webui-controlnet"))
-Gitclone(r"https://github.com/fkunn1326/openpose-editor",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"openpose-editor"))
-Gitclone(r"https://github.com/jexom/sd-webui-depth-lib",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd-webui-depth-lib"))
-Gitclone(r"https://github.com/hnmr293/posex",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"posex"))
-Gitclone(r"https://github.com/nonnonstop/sd-webui-3d-open-pose-editor",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd-webui-3d-open-pose-editor"))
-#中文本地化的请解除下一行的注释
-#Gitclone(r"https://github.com/dtlnor/stable-diffusion-webui-localization-zh_CN.git",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"stable-diffusion-webui-localization-zh_CN"))
-Gitclone(r"https://github.com/DominikDoom/a1111-sd-webui-tagcomplete.git" , str(user_home / r"stable-diffusion-webui" / r"extensions" / r"a1111-sd-webui-tagcomplete"))
-Gitclone(r"https://github.com/camenduru/sd-webui-tunnels",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd-webui-tunnels"))
-Gitclone(r"https://github.com/etherealxx/batchlinks-webui",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"batchlinks-webui"))
-Gitclone(r"https://github.com/catppuccin/stable-diffusion-webui",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"stable-diffusion-webui-catppuccin"))
-
-#Gitclone(r"https://github.com/KohakuBueleaf/a1111-sd-webui-locon",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"a1111-sd-webui-locon" ))
-Gitclone(r"https://github.com/AUTOMATIC1111/stable-diffusion-webui-rembg",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"stable-diffusion-webui-rembg"))
-Gitclone(r"https://github.com/ashen-sensored/stable-diffusion-webui-two-shot",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"stable-diffusion-webui-two-shot"))
-Gitclone(r"https://github.com/camenduru/sd_webui_stealth_pnginfo",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd_webui_stealth_pnginfo"))
-
-os.chdir(user_home / r"stable-diffusion-webui")
-
-#download ControlNet models
-print("extensions dolwnload done .\ndownloading ControlNet models")
-dList =[r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_ip2p_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11e_sd15_shuffle_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_canny_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1p_sd15_depth_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_inpaint_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_mlsd_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_normalbae_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_openpose_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_scribble_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_seg_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15_softedge_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11p_sd15s2_lineart_anime_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile_fp16.safetensors",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_ip2p_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11e_sd15_shuffle_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_canny_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1p_sd15_depth_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_inpaint_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_lineart_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_mlsd_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_normalbae_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_openpose_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_scribble_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_seg_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15_softedge_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11p_sd15s2_lineart_anime_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/raw/main/control_v11f1e_sd15_tile_fp16.yaml",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_style_sd14v1.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_sketch_sd14v1.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_seg_sd14v1.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_openpose_sd14v1.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_keypose_sd14v1.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_depth_sd14v1.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_canny_sd14v1.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_canny_sd15v2.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_depth_sd15v2.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_sketch_sd15v2.pth",
-               r"https://huggingface.co/ckpt/ControlNet-v1-1/resolve/main/t2iadapter_zoedepth_sd15v1.pth"]
-for i in range(0,len(dList)): DownLoad(dList[i],str(user_home / "stable-diffusion-webui" / "extensions" / "sd-webui-controlnet" / "models"),pathlib.Path(dList[i]).name)
-del dList
-
-#download model    
-#you can change model download address here
-print("ControlNet models download done.\ndownloading model")
-DownLoad(r"https://huggingface.co/ckpt/anything-v4.0/resolve/main/anything-v4.5-pruned.ckpt",str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"anything-v4.5-pruned.ckpt")
-DownLoad(r"https://huggingface.co/ckpt/anything-v4.0/resolve/main/anything-v4.0.vae.pt",str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"anything-v4.0.vae.pt")
-DownLoad(r"https://huggingface.co/gsdf/Counterfeit-V3.0/resolve/main/Counterfeit-V3.0_fp16.safetensors",str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"Counterfeit-V3.0_fp16.safetensors")
-DownLoad(r"https://huggingface.co/WarriorMama777/OrangeMixs/resolve/main/Models/AbyssOrangeMix3/AOM3A1B_orangemixs.safetensors",str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"AOM3A1B_orangemixs.safetensors")
-DownLoad(r"https://huggingface.co/Meina/MeinaPastel/resolve/main/MeinaPastelV5%20-%20Without%20VAE.safetensors",str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"MeinaPastelV5_WithoutVAE.safetensors")
-DownLoad(r"https://civitai.com/api/download/models/9474",str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"chilloutmix_NiPrunedFp16.safetensors")
-
-#My customly added models
-DownLoad(r"https://civitai.com/api/download/models/105674?", str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"realisticVisionV30_v30VAE.safetensors")
-DownLoad(r"https://civitai.com/api/download/models/94640", str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"majicmixRealistic_v6.safetensors")
-DownLoad(r"https://civitai.com/api/download/models/109123", str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"dreamshaper_7.safetensors")
-DownLoad(r"https://civitai.com/api/download/models/27392", str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"openjourney_V4.ckpt")
-DownLoad(r"https://civitai.com/api/download/models/95489", str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"anyloraCheckpoint_bakedvaeBlessedFp16.safetensors")
-DownLoad(r"https://civitai.com/api/download/models/90854", str(user_home / r"stable-diffusion-webui" / r"models" / r"Stable-diffusion"),r"AnythingV5Ink_ink.safetensors")
-
-#LoRa ?
-DownLoad(r"https://civitai.com/api/download/models/39885",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd-webui-additional-networks" / r"models"/ r"lora"),r"Better_light.safetensors")
-DownLoad(r"https://civitai.com/api/download/models/39164",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd-webui-additional-networks" / r"models"/ r"lora"),r"backlighting.safetensors")
-DownLoad(r"https://civitai.com/api/download/models/62833",str(user_home / r"stable-diffusion-webui" / r"extensions" / r"sd-webui-additional-networks" / r"models"/ r"lora"),r"add_detail.safetensors")
-#strt webui
-
-print("Done\nStarting Webui...")
-os.chdir(user_home / r"stable-diffusion-webui")
-while True:
-  ret=subprocess.run([r"python3" ,r"launch.py",r"--precision",r"full",r"--no-half",r"--no-half-vae",r"--enable-insecure-extension-access",r"--medvram",r"--skip-torch-cuda-test",r"--enable-console-prompts",r"--ui-settings-file="+str(pathlib.Path(__file__).parent /r"config.json")])
-  if(ret.returncode == 0 ): 
-    del ret
-    gc.collect()
-  else :
-    del ret
-
-del os ,user_home ,pyexecutable ,subprocess
\ No newline at end of file
diff --git a/spaces/Izal887/rvc-hutao/infer_pack/modules.py b/spaces/Izal887/rvc-hutao/infer_pack/modules.py
deleted file mode 100644
index 960481cedad9a6106f2bf0b9e86e82b120f7b33f..0000000000000000000000000000000000000000
--- a/spaces/Izal887/rvc-hutao/infer_pack/modules.py
+++ /dev/null
@@ -1,522 +0,0 @@
-import copy
-import math
-import numpy as np
-import scipy
-import torch
-from torch import nn
-from torch.nn import functional as F
-
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm
-
-from infer_pack import commons
-from infer_pack.commons import init_weights, get_padding
-from infer_pack.transforms import piecewise_rational_quadratic_transform
-
-
-LRELU_SLOPE = 0.1
-
-
-class LayerNorm(nn.Module):
-    def __init__(self, channels, eps=1e-5):
-        super().__init__()
-        self.channels = channels
-        self.eps = eps
-
-        self.gamma = nn.Parameter(torch.ones(channels))
-        self.beta = nn.Parameter(torch.zeros(channels))
-
-    def forward(self, x):
-        x = x.transpose(1, -1)
-        x = F.layer_norm(x, (self.channels,), self.gamma, self.beta, self.eps)
-        return x.transpose(1, -1)
-
-
-class ConvReluNorm(nn.Module):
-    def __init__(
-        self,
-        in_channels,
-        hidden_channels,
-        out_channels,
-        kernel_size,
-        n_layers,
-        p_dropout,
-    ):
-        super().__init__()
-        self.in_channels = in_channels
-        self.hidden_channels = hidden_channels
-        self.out_channels = out_channels
-        self.kernel_size = kernel_size
-        self.n_layers = n_layers
-        self.p_dropout = p_dropout
-        assert n_layers > 1, "Number of layers should be larger than 0."
-
-        self.conv_layers = nn.ModuleList()
-        self.norm_layers = nn.ModuleList()
-        self.conv_layers.append(
-            nn.Conv1d(
-                in_channels, hidden_channels, kernel_size, padding=kernel_size // 2
-            )
-        )
-        self.norm_layers.append(LayerNorm(hidden_channels))
-        self.relu_drop = nn.Sequential(nn.ReLU(), nn.Dropout(p_dropout))
-        for _ in range(n_layers - 1):
-            self.conv_layers.append(
-                nn.Conv1d(
-                    hidden_channels,
-                    hidden_channels,
-                    kernel_size,
-                    padding=kernel_size // 2,
-                )
-            )
-            self.norm_layers.append(LayerNorm(hidden_channels))
-        self.proj = nn.Conv1d(hidden_channels, out_channels, 1)
-        self.proj.weight.data.zero_()
-        self.proj.bias.data.zero_()
-
-    def forward(self, x, x_mask):
-        x_org = x
-        for i in range(self.n_layers):
-            x = self.conv_layers[i](x * x_mask)
-            x = self.norm_layers[i](x)
-            x = self.relu_drop(x)
-        x = x_org + self.proj(x)
-        return x * x_mask
-
-
-class DDSConv(nn.Module):
-    """
-    Dialted and Depth-Separable Convolution
-    """
-
-    def __init__(self, channels, kernel_size, n_layers, p_dropout=0.0):
-        super().__init__()
-        self.channels = channels
-        self.kernel_size = kernel_size
-        self.n_layers = n_layers
-        self.p_dropout = p_dropout
-
-        self.drop = nn.Dropout(p_dropout)
-        self.convs_sep = nn.ModuleList()
-        self.convs_1x1 = nn.ModuleList()
-        self.norms_1 = nn.ModuleList()
-        self.norms_2 = nn.ModuleList()
-        for i in range(n_layers):
-            dilation = kernel_size**i
-            padding = (kernel_size * dilation - dilation) // 2
-            self.convs_sep.append(
-                nn.Conv1d(
-                    channels,
-                    channels,
-                    kernel_size,
-                    groups=channels,
-                    dilation=dilation,
-                    padding=padding,
-                )
-            )
-            self.convs_1x1.append(nn.Conv1d(channels, channels, 1))
-            self.norms_1.append(LayerNorm(channels))
-            self.norms_2.append(LayerNorm(channels))
-
-    def forward(self, x, x_mask, g=None):
-        if g is not None:
-            x = x + g
-        for i in range(self.n_layers):
-            y = self.convs_sep[i](x * x_mask)
-            y = self.norms_1[i](y)
-            y = F.gelu(y)
-            y = self.convs_1x1[i](y)
-            y = self.norms_2[i](y)
-            y = F.gelu(y)
-            y = self.drop(y)
-            x = x + y
-        return x * x_mask
-
-
-class WN(torch.nn.Module):
-    def __init__(
-        self,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        gin_channels=0,
-        p_dropout=0,
-    ):
-        super(WN, self).__init__()
-        assert kernel_size % 2 == 1
-        self.hidden_channels = hidden_channels
-        self.kernel_size = (kernel_size,)
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.gin_channels = gin_channels
-        self.p_dropout = p_dropout
-
-        self.in_layers = torch.nn.ModuleList()
-        self.res_skip_layers = torch.nn.ModuleList()
-        self.drop = nn.Dropout(p_dropout)
-
-        if gin_channels != 0:
-            cond_layer = torch.nn.Conv1d(
-                gin_channels, 2 * hidden_channels * n_layers, 1
-            )
-            self.cond_layer = torch.nn.utils.weight_norm(cond_layer, name="weight")
-
-        for i in range(n_layers):
-            dilation = dilation_rate**i
-            padding = int((kernel_size * dilation - dilation) / 2)
-            in_layer = torch.nn.Conv1d(
-                hidden_channels,
-                2 * hidden_channels,
-                kernel_size,
-                dilation=dilation,
-                padding=padding,
-            )
-            in_layer = torch.nn.utils.weight_norm(in_layer, name="weight")
-            self.in_layers.append(in_layer)
-
-            # last one is not necessary
-            if i < n_layers - 1:
-                res_skip_channels = 2 * hidden_channels
-            else:
-                res_skip_channels = hidden_channels
-
-            res_skip_layer = torch.nn.Conv1d(hidden_channels, res_skip_channels, 1)
-            res_skip_layer = torch.nn.utils.weight_norm(res_skip_layer, name="weight")
-            self.res_skip_layers.append(res_skip_layer)
-
-    def forward(self, x, x_mask, g=None, **kwargs):
-        output = torch.zeros_like(x)
-        n_channels_tensor = torch.IntTensor([self.hidden_channels])
-
-        if g is not None:
-            g = self.cond_layer(g)
-
-        for i in range(self.n_layers):
-            x_in = self.in_layers[i](x)
-            if g is not None:
-                cond_offset = i * 2 * self.hidden_channels
-                g_l = g[:, cond_offset : cond_offset + 2 * self.hidden_channels, :]
-            else:
-                g_l = torch.zeros_like(x_in)
-
-            acts = commons.fused_add_tanh_sigmoid_multiply(x_in, g_l, n_channels_tensor)
-            acts = self.drop(acts)
-
-            res_skip_acts = self.res_skip_layers[i](acts)
-            if i < self.n_layers - 1:
-                res_acts = res_skip_acts[:, : self.hidden_channels, :]
-                x = (x + res_acts) * x_mask
-                output = output + res_skip_acts[:, self.hidden_channels :, :]
-            else:
-                output = output + res_skip_acts
-        return output * x_mask
-
-    def remove_weight_norm(self):
-        if self.gin_channels != 0:
-            torch.nn.utils.remove_weight_norm(self.cond_layer)
-        for l in self.in_layers:
-            torch.nn.utils.remove_weight_norm(l)
-        for l in self.res_skip_layers:
-            torch.nn.utils.remove_weight_norm(l)
-
-
-class ResBlock1(torch.nn.Module):
-    def __init__(self, channels, kernel_size=3, dilation=(1, 3, 5)):
-        super(ResBlock1, self).__init__()
-        self.convs1 = nn.ModuleList(
-            [
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[0],
-                        padding=get_padding(kernel_size, dilation[0]),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[1],
-                        padding=get_padding(kernel_size, dilation[1]),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[2],
-                        padding=get_padding(kernel_size, dilation[2]),
-                    )
-                ),
-            ]
-        )
-        self.convs1.apply(init_weights)
-
-        self.convs2 = nn.ModuleList(
-            [
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=1,
-                        padding=get_padding(kernel_size, 1),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=1,
-                        padding=get_padding(kernel_size, 1),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=1,
-                        padding=get_padding(kernel_size, 1),
-                    )
-                ),
-            ]
-        )
-        self.convs2.apply(init_weights)
-
-    def forward(self, x, x_mask=None):
-        for c1, c2 in zip(self.convs1, self.convs2):
-            xt = F.leaky_relu(x, LRELU_SLOPE)
-            if x_mask is not None:
-                xt = xt * x_mask
-            xt = c1(xt)
-            xt = F.leaky_relu(xt, LRELU_SLOPE)
-            if x_mask is not None:
-                xt = xt * x_mask
-            xt = c2(xt)
-            x = xt + x
-        if x_mask is not None:
-            x = x * x_mask
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.convs1:
-            remove_weight_norm(l)
-        for l in self.convs2:
-            remove_weight_norm(l)
-
-
-class ResBlock2(torch.nn.Module):
-    def __init__(self, channels, kernel_size=3, dilation=(1, 3)):
-        super(ResBlock2, self).__init__()
-        self.convs = nn.ModuleList(
-            [
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[0],
-                        padding=get_padding(kernel_size, dilation[0]),
-                    )
-                ),
-                weight_norm(
-                    Conv1d(
-                        channels,
-                        channels,
-                        kernel_size,
-                        1,
-                        dilation=dilation[1],
-                        padding=get_padding(kernel_size, dilation[1]),
-                    )
-                ),
-            ]
-        )
-        self.convs.apply(init_weights)
-
-    def forward(self, x, x_mask=None):
-        for c in self.convs:
-            xt = F.leaky_relu(x, LRELU_SLOPE)
-            if x_mask is not None:
-                xt = xt * x_mask
-            xt = c(xt)
-            x = xt + x
-        if x_mask is not None:
-            x = x * x_mask
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.convs:
-            remove_weight_norm(l)
-
-
-class Log(nn.Module):
-    def forward(self, x, x_mask, reverse=False, **kwargs):
-        if not reverse:
-            y = torch.log(torch.clamp_min(x, 1e-5)) * x_mask
-            logdet = torch.sum(-y, [1, 2])
-            return y, logdet
-        else:
-            x = torch.exp(x) * x_mask
-            return x
-
-
-class Flip(nn.Module):
-    def forward(self, x, *args, reverse=False, **kwargs):
-        x = torch.flip(x, [1])
-        if not reverse:
-            logdet = torch.zeros(x.size(0)).to(dtype=x.dtype, device=x.device)
-            return x, logdet
-        else:
-            return x
-
-
-class ElementwiseAffine(nn.Module):
-    def __init__(self, channels):
-        super().__init__()
-        self.channels = channels
-        self.m = nn.Parameter(torch.zeros(channels, 1))
-        self.logs = nn.Parameter(torch.zeros(channels, 1))
-
-    def forward(self, x, x_mask, reverse=False, **kwargs):
-        if not reverse:
-            y = self.m + torch.exp(self.logs) * x
-            y = y * x_mask
-            logdet = torch.sum(self.logs * x_mask, [1, 2])
-            return y, logdet
-        else:
-            x = (x - self.m) * torch.exp(-self.logs) * x_mask
-            return x
-
-
-class ResidualCouplingLayer(nn.Module):
-    def __init__(
-        self,
-        channels,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        p_dropout=0,
-        gin_channels=0,
-        mean_only=False,
-    ):
-        assert channels % 2 == 0, "channels should be divisible by 2"
-        super().__init__()
-        self.channels = channels
-        self.hidden_channels = hidden_channels
-        self.kernel_size = kernel_size
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.half_channels = channels // 2
-        self.mean_only = mean_only
-
-        self.pre = nn.Conv1d(self.half_channels, hidden_channels, 1)
-        self.enc = WN(
-            hidden_channels,
-            kernel_size,
-            dilation_rate,
-            n_layers,
-            p_dropout=p_dropout,
-            gin_channels=gin_channels,
-        )
-        self.post = nn.Conv1d(hidden_channels, self.half_channels * (2 - mean_only), 1)
-        self.post.weight.data.zero_()
-        self.post.bias.data.zero_()
-
-    def forward(self, x, x_mask, g=None, reverse=False):
-        x0, x1 = torch.split(x, [self.half_channels] * 2, 1)
-        h = self.pre(x0) * x_mask
-        h = self.enc(h, x_mask, g=g)
-        stats = self.post(h) * x_mask
-        if not self.mean_only:
-            m, logs = torch.split(stats, [self.half_channels] * 2, 1)
-        else:
-            m = stats
-            logs = torch.zeros_like(m)
-
-        if not reverse:
-            x1 = m + x1 * torch.exp(logs) * x_mask
-            x = torch.cat([x0, x1], 1)
-            logdet = torch.sum(logs, [1, 2])
-            return x, logdet
-        else:
-            x1 = (x1 - m) * torch.exp(-logs) * x_mask
-            x = torch.cat([x0, x1], 1)
-            return x
-
-    def remove_weight_norm(self):
-        self.enc.remove_weight_norm()
-
-
-class ConvFlow(nn.Module):
-    def __init__(
-        self,
-        in_channels,
-        filter_channels,
-        kernel_size,
-        n_layers,
-        num_bins=10,
-        tail_bound=5.0,
-    ):
-        super().__init__()
-        self.in_channels = in_channels
-        self.filter_channels = filter_channels
-        self.kernel_size = kernel_size
-        self.n_layers = n_layers
-        self.num_bins = num_bins
-        self.tail_bound = tail_bound
-        self.half_channels = in_channels // 2
-
-        self.pre = nn.Conv1d(self.half_channels, filter_channels, 1)
-        self.convs = DDSConv(filter_channels, kernel_size, n_layers, p_dropout=0.0)
-        self.proj = nn.Conv1d(
-            filter_channels, self.half_channels * (num_bins * 3 - 1), 1
-        )
-        self.proj.weight.data.zero_()
-        self.proj.bias.data.zero_()
-
-    def forward(self, x, x_mask, g=None, reverse=False):
-        x0, x1 = torch.split(x, [self.half_channels] * 2, 1)
-        h = self.pre(x0)
-        h = self.convs(h, x_mask, g=g)
-        h = self.proj(h) * x_mask
-
-        b, c, t = x0.shape
-        h = h.reshape(b, c, -1, t).permute(0, 1, 3, 2)  # [b, cx?, t] -> [b, c, t, ?]
-
-        unnormalized_widths = h[..., : self.num_bins] / math.sqrt(self.filter_channels)
-        unnormalized_heights = h[..., self.num_bins : 2 * self.num_bins] / math.sqrt(
-            self.filter_channels
-        )
-        unnormalized_derivatives = h[..., 2 * self.num_bins :]
-
-        x1, logabsdet = piecewise_rational_quadratic_transform(
-            x1,
-            unnormalized_widths,
-            unnormalized_heights,
-            unnormalized_derivatives,
-            inverse=reverse,
-            tails="linear",
-            tail_bound=self.tail_bound,
-        )
-
-        x = torch.cat([x0, x1], 1) * x_mask
-        logdet = torch.sum(logabsdet * x_mask, [1, 2])
-        if not reverse:
-            return x, logdet
-        else:
-            return x
diff --git a/spaces/Izal887/rvc-hutao/infer_pack/transforms.py b/spaces/Izal887/rvc-hutao/infer_pack/transforms.py
deleted file mode 100644
index a11f799e023864ff7082c1f49c0cc18351a13b47..0000000000000000000000000000000000000000
--- a/spaces/Izal887/rvc-hutao/infer_pack/transforms.py
+++ /dev/null
@@ -1,209 +0,0 @@
-import torch
-from torch.nn import functional as F
-
-import numpy as np
-
-
-DEFAULT_MIN_BIN_WIDTH = 1e-3
-DEFAULT_MIN_BIN_HEIGHT = 1e-3
-DEFAULT_MIN_DERIVATIVE = 1e-3
-
-
-def piecewise_rational_quadratic_transform(
-    inputs,
-    unnormalized_widths,
-    unnormalized_heights,
-    unnormalized_derivatives,
-    inverse=False,
-    tails=None,
-    tail_bound=1.0,
-    min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-    min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-    min_derivative=DEFAULT_MIN_DERIVATIVE,
-):
-    if tails is None:
-        spline_fn = rational_quadratic_spline
-        spline_kwargs = {}
-    else:
-        spline_fn = unconstrained_rational_quadratic_spline
-        spline_kwargs = {"tails": tails, "tail_bound": tail_bound}
-
-    outputs, logabsdet = spline_fn(
-        inputs=inputs,
-        unnormalized_widths=unnormalized_widths,
-        unnormalized_heights=unnormalized_heights,
-        unnormalized_derivatives=unnormalized_derivatives,
-        inverse=inverse,
-        min_bin_width=min_bin_width,
-        min_bin_height=min_bin_height,
-        min_derivative=min_derivative,
-        **spline_kwargs
-    )
-    return outputs, logabsdet
-
-
-def searchsorted(bin_locations, inputs, eps=1e-6):
-    bin_locations[..., -1] += eps
-    return torch.sum(inputs[..., None] >= bin_locations, dim=-1) - 1
-
-
-def unconstrained_rational_quadratic_spline(
-    inputs,
-    unnormalized_widths,
-    unnormalized_heights,
-    unnormalized_derivatives,
-    inverse=False,
-    tails="linear",
-    tail_bound=1.0,
-    min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-    min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-    min_derivative=DEFAULT_MIN_DERIVATIVE,
-):
-    inside_interval_mask = (inputs >= -tail_bound) & (inputs <= tail_bound)
-    outside_interval_mask = ~inside_interval_mask
-
-    outputs = torch.zeros_like(inputs)
-    logabsdet = torch.zeros_like(inputs)
-
-    if tails == "linear":
-        unnormalized_derivatives = F.pad(unnormalized_derivatives, pad=(1, 1))
-        constant = np.log(np.exp(1 - min_derivative) - 1)
-        unnormalized_derivatives[..., 0] = constant
-        unnormalized_derivatives[..., -1] = constant
-
-        outputs[outside_interval_mask] = inputs[outside_interval_mask]
-        logabsdet[outside_interval_mask] = 0
-    else:
-        raise RuntimeError("{} tails are not implemented.".format(tails))
-
-    (
-        outputs[inside_interval_mask],
-        logabsdet[inside_interval_mask],
-    ) = rational_quadratic_spline(
-        inputs=inputs[inside_interval_mask],
-        unnormalized_widths=unnormalized_widths[inside_interval_mask, :],
-        unnormalized_heights=unnormalized_heights[inside_interval_mask, :],
-        unnormalized_derivatives=unnormalized_derivatives[inside_interval_mask, :],
-        inverse=inverse,
-        left=-tail_bound,
-        right=tail_bound,
-        bottom=-tail_bound,
-        top=tail_bound,
-        min_bin_width=min_bin_width,
-        min_bin_height=min_bin_height,
-        min_derivative=min_derivative,
-    )
-
-    return outputs, logabsdet
-
-
-def rational_quadratic_spline(
-    inputs,
-    unnormalized_widths,
-    unnormalized_heights,
-    unnormalized_derivatives,
-    inverse=False,
-    left=0.0,
-    right=1.0,
-    bottom=0.0,
-    top=1.0,
-    min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-    min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-    min_derivative=DEFAULT_MIN_DERIVATIVE,
-):
-    if torch.min(inputs) < left or torch.max(inputs) > right:
-        raise ValueError("Input to a transform is not within its domain")
-
-    num_bins = unnormalized_widths.shape[-1]
-
-    if min_bin_width * num_bins > 1.0:
-        raise ValueError("Minimal bin width too large for the number of bins")
-    if min_bin_height * num_bins > 1.0:
-        raise ValueError("Minimal bin height too large for the number of bins")
-
-    widths = F.softmax(unnormalized_widths, dim=-1)
-    widths = min_bin_width + (1 - min_bin_width * num_bins) * widths
-    cumwidths = torch.cumsum(widths, dim=-1)
-    cumwidths = F.pad(cumwidths, pad=(1, 0), mode="constant", value=0.0)
-    cumwidths = (right - left) * cumwidths + left
-    cumwidths[..., 0] = left
-    cumwidths[..., -1] = right
-    widths = cumwidths[..., 1:] - cumwidths[..., :-1]
-
-    derivatives = min_derivative + F.softplus(unnormalized_derivatives)
-
-    heights = F.softmax(unnormalized_heights, dim=-1)
-    heights = min_bin_height + (1 - min_bin_height * num_bins) * heights
-    cumheights = torch.cumsum(heights, dim=-1)
-    cumheights = F.pad(cumheights, pad=(1, 0), mode="constant", value=0.0)
-    cumheights = (top - bottom) * cumheights + bottom
-    cumheights[..., 0] = bottom
-    cumheights[..., -1] = top
-    heights = cumheights[..., 1:] - cumheights[..., :-1]
-
-    if inverse:
-        bin_idx = searchsorted(cumheights, inputs)[..., None]
-    else:
-        bin_idx = searchsorted(cumwidths, inputs)[..., None]
-
-    input_cumwidths = cumwidths.gather(-1, bin_idx)[..., 0]
-    input_bin_widths = widths.gather(-1, bin_idx)[..., 0]
-
-    input_cumheights = cumheights.gather(-1, bin_idx)[..., 0]
-    delta = heights / widths
-    input_delta = delta.gather(-1, bin_idx)[..., 0]
-
-    input_derivatives = derivatives.gather(-1, bin_idx)[..., 0]
-    input_derivatives_plus_one = derivatives[..., 1:].gather(-1, bin_idx)[..., 0]
-
-    input_heights = heights.gather(-1, bin_idx)[..., 0]
-
-    if inverse:
-        a = (inputs - input_cumheights) * (
-            input_derivatives + input_derivatives_plus_one - 2 * input_delta
-        ) + input_heights * (input_delta - input_derivatives)
-        b = input_heights * input_derivatives - (inputs - input_cumheights) * (
-            input_derivatives + input_derivatives_plus_one - 2 * input_delta
-        )
-        c = -input_delta * (inputs - input_cumheights)
-
-        discriminant = b.pow(2) - 4 * a * c
-        assert (discriminant >= 0).all()
-
-        root = (2 * c) / (-b - torch.sqrt(discriminant))
-        outputs = root * input_bin_widths + input_cumwidths
-
-        theta_one_minus_theta = root * (1 - root)
-        denominator = input_delta + (
-            (input_derivatives + input_derivatives_plus_one - 2 * input_delta)
-            * theta_one_minus_theta
-        )
-        derivative_numerator = input_delta.pow(2) * (
-            input_derivatives_plus_one * root.pow(2)
-            + 2 * input_delta * theta_one_minus_theta
-            + input_derivatives * (1 - root).pow(2)
-        )
-        logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
-
-        return outputs, -logabsdet
-    else:
-        theta = (inputs - input_cumwidths) / input_bin_widths
-        theta_one_minus_theta = theta * (1 - theta)
-
-        numerator = input_heights * (
-            input_delta * theta.pow(2) + input_derivatives * theta_one_minus_theta
-        )
-        denominator = input_delta + (
-            (input_derivatives + input_derivatives_plus_one - 2 * input_delta)
-            * theta_one_minus_theta
-        )
-        outputs = input_cumheights + numerator / denominator
-
-        derivative_numerator = input_delta.pow(2) * (
-            input_derivatives_plus_one * theta.pow(2)
-            + 2 * input_delta * theta_one_minus_theta
-            + input_derivatives * (1 - theta).pow(2)
-        )
-        logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
-
-        return outputs, logabsdet
diff --git a/spaces/Izal887/rvc-ram12/lib/infer_pack/modules/F0Predictor/F0Predictor.py b/spaces/Izal887/rvc-ram12/lib/infer_pack/modules/F0Predictor/F0Predictor.py
deleted file mode 100644
index f56e49e7f0e6eab3babf0711cae2933371b9f9cc..0000000000000000000000000000000000000000
--- a/spaces/Izal887/rvc-ram12/lib/infer_pack/modules/F0Predictor/F0Predictor.py
+++ /dev/null
@@ -1,16 +0,0 @@
-class F0Predictor(object):
-    def compute_f0(self, wav, p_len):
-        """
-        input: wav:[signal_length]
-               p_len:int
-        output: f0:[signal_length//hop_length]
-        """
-        pass
-
-    def compute_f0_uv(self, wav, p_len):
-        """
-        input: wav:[signal_length]
-               p_len:int
-        output: f0:[signal_length//hop_length],uv:[signal_length//hop_length]
-        """
-        pass
diff --git a/spaces/Jackflack09/diffuse-custom/diffusers/hub_utils.py b/spaces/Jackflack09/diffuse-custom/diffusers/hub_utils.py
deleted file mode 100644
index a1772d8f70bf8b5cf73c18bafe107d55f81c0f27..0000000000000000000000000000000000000000
--- a/spaces/Jackflack09/diffuse-custom/diffusers/hub_utils.py
+++ /dev/null
@@ -1,130 +0,0 @@
-# coding=utf-8
-# Copyright 2022 The HuggingFace Inc. team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-import os
-import sys
-from pathlib import Path
-from typing import Dict, Optional, Union
-from uuid import uuid4
-
-from huggingface_hub import HfFolder, whoami
-
-from . import __version__
-from .utils import ENV_VARS_TRUE_VALUES, logging
-from .utils.import_utils import (
-    _flax_version,
-    _jax_version,
-    _onnxruntime_version,
-    _torch_version,
-    is_flax_available,
-    is_modelcards_available,
-    is_onnx_available,
-    is_torch_available,
-)
-
-
-if is_modelcards_available():
-    from modelcards import CardData, ModelCard
-
-
-logger = logging.get_logger(__name__)
-
-
-MODEL_CARD_TEMPLATE_PATH = Path(__file__).parent / "utils" / "model_card_template.md"
-SESSION_ID = uuid4().hex
-DISABLE_TELEMETRY = os.getenv("DISABLE_TELEMETRY", "").upper() in ENV_VARS_TRUE_VALUES
-
-
-def http_user_agent(user_agent: Union[Dict, str, None] = None) -> str:
-    """
-    Formats a user-agent string with basic info about a request.
-    """
-    ua = f"diffusers/{__version__}; python/{sys.version.split()[0]}; session_id/{SESSION_ID}"
-    if DISABLE_TELEMETRY:
-        return ua + "; telemetry/off"
-    if is_torch_available():
-        ua += f"; torch/{_torch_version}"
-    if is_flax_available():
-        ua += f"; jax/{_jax_version}"
-        ua += f"; flax/{_flax_version}"
-    if is_onnx_available():
-        ua += f"; onnxruntime/{_onnxruntime_version}"
-    # CI will set this value to True
-    if os.environ.get("DIFFUSERS_IS_CI", "").upper() in ENV_VARS_TRUE_VALUES:
-        ua += "; is_ci/true"
-    if isinstance(user_agent, dict):
-        ua += "; " + "; ".join(f"{k}/{v}" for k, v in user_agent.items())
-    elif isinstance(user_agent, str):
-        ua += "; " + user_agent
-    return ua
-
-
-def get_full_repo_name(model_id: str, organization: Optional[str] = None, token: Optional[str] = None):
-    if token is None:
-        token = HfFolder.get_token()
-    if organization is None:
-        username = whoami(token)["name"]
-        return f"{username}/{model_id}"
-    else:
-        return f"{organization}/{model_id}"
-
-
-def create_model_card(args, model_name):
-    if not is_modelcards_available:
-        raise ValueError(
-            "Please make sure to have `modelcards` installed when using the `create_model_card` function. You can"
-            " install the package with `pip install modelcards`."
-        )
-
-    if hasattr(args, "local_rank") and args.local_rank not in [-1, 0]:
-        return
-
-    hub_token = args.hub_token if hasattr(args, "hub_token") else None
-    repo_name = get_full_repo_name(model_name, token=hub_token)
-
-    model_card = ModelCard.from_template(
-        card_data=CardData(  # Card metadata object that will be converted to YAML block
-            language="en",
-            license="apache-2.0",
-            library_name="diffusers",
-            tags=[],
-            datasets=args.dataset_name,
-            metrics=[],
-        ),
-        template_path=MODEL_CARD_TEMPLATE_PATH,
-        model_name=model_name,
-        repo_name=repo_name,
-        dataset_name=args.dataset_name if hasattr(args, "dataset_name") else None,
-        learning_rate=args.learning_rate,
-        train_batch_size=args.train_batch_size,
-        eval_batch_size=args.eval_batch_size,
-        gradient_accumulation_steps=args.gradient_accumulation_steps
-        if hasattr(args, "gradient_accumulation_steps")
-        else None,
-        adam_beta1=args.adam_beta1 if hasattr(args, "adam_beta1") else None,
-        adam_beta2=args.adam_beta2 if hasattr(args, "adam_beta2") else None,
-        adam_weight_decay=args.adam_weight_decay if hasattr(args, "adam_weight_decay") else None,
-        adam_epsilon=args.adam_epsilon if hasattr(args, "adam_epsilon") else None,
-        lr_scheduler=args.lr_scheduler if hasattr(args, "lr_scheduler") else None,
-        lr_warmup_steps=args.lr_warmup_steps if hasattr(args, "lr_warmup_steps") else None,
-        ema_inv_gamma=args.ema_inv_gamma if hasattr(args, "ema_inv_gamma") else None,
-        ema_power=args.ema_power if hasattr(args, "ema_power") else None,
-        ema_max_decay=args.ema_max_decay if hasattr(args, "ema_max_decay") else None,
-        mixed_precision=args.mixed_precision,
-    )
-
-    card_path = os.path.join(args.output_dir, "README.md")
-    model_card.save(card_path)
diff --git a/spaces/JeffJing/ZookChatBot/steamship/base/client.py b/spaces/JeffJing/ZookChatBot/steamship/base/client.py
deleted file mode 100644
index f299cd0f6f15cdca4376aaa9190935d07da227c1..0000000000000000000000000000000000000000
--- a/spaces/JeffJing/ZookChatBot/steamship/base/client.py
+++ /dev/null
@@ -1,635 +0,0 @@
-from __future__ import annotations
-
-import logging
-import typing
-from abc import ABC
-from inspect import isclass
-from typing import Any, Dict, List, Optional, Tuple, Type, TypeVar, Union
-
-import inflection
-from pydantic import BaseModel, PrivateAttr
-from requests import Session
-
-from steamship.base.configuration import Configuration
-from steamship.base.error import SteamshipError
-from steamship.base.mime_types import MimeTypes
-from steamship.base.model import CamelModel, to_camel
-from steamship.base.request import Request
-from steamship.base.tasks import Task, TaskState
-from steamship.utils.url import Verb, is_local
-
-_logger = logging.getLogger(__name__)
-
-T = TypeVar("T")  # TODO (enias): Do we need this?
-
-
-def _multipart_name(path: str, val: Any) -> List[Tuple[Optional[str], str, Optional[str]]]:
-    """Decode any object into a series of HTTP Multi-part segments that Vapor will consume.
-
-    https://github.com/vapor/multipart-kit
-    When sending a JSON object in a MultiPart request, Vapor wishes to see multi part segments as follows:
-
-    single_key
-    array_key[idx]
-    obj_key[prop]
-
-    So a File with a list of one tag with kind=Foo would be transmitted as setting the part:
-    [tags][0][kind]
-    """
-    ret = []
-    if isinstance(val, dict):
-        for key, subval in val.items():
-            ret.extend(_multipart_name(f"{path}[{key}]", subval))
-    elif isinstance(val, list):
-        for idx, subval in enumerate(val):
-            ret.extend(_multipart_name(f"{path}[{idx}]", subval))
-    elif val is not None:
-        ret.append((path, val, None))
-    return ret
-
-
-class Client(CamelModel, ABC):
-    """Client model.py class.
-
-    Separated primarily as a hack to prevent circular imports.
-    """
-
-    config: Configuration
-    _session: Session = PrivateAttr()
-
-    def __init__(
-        self,
-        api_key: str = None,
-        api_base: str = None,
-        app_base: str = None,
-        web_base: str = None,
-        workspace: str = None,
-        fail_if_workspace_exists: bool = False,
-        profile: str = None,
-        config_file: str = None,
-        config: Configuration = None,
-        trust_workspace_config: bool = False,  # For use by lambda_handler; don't fetch the workspace
-        **kwargs,
-    ):
-        """Create a new client.
-
-        If `workspace` is provided, it will anchor the client in a workspace by that name, creating it if necessary.
-        Otherwise the `default` workspace will be used.
-        """
-        if config is not None and not isinstance(config, Configuration):
-            config = Configuration.parse_obj(config)
-
-        self._session = Session()
-        config = config or Configuration(
-            api_key=api_key,
-            api_base=api_base,
-            app_base=app_base,
-            web_base=web_base,
-            workspace_handle=workspace,
-            profile=profile,
-            config_file=config_file,
-        )
-
-        super().__init__(config=config)
-        # The lambda_handler will pass in the workspace via the workspace_id, so we need to plumb this through to make sure
-        # that the workspace switch performed doesn't mistake `workspace=None` as a request for the default workspace
-        self.switch_workspace(
-            workspace_handle=workspace or config.workspace_handle,
-            workspace_id=config.workspace_id,
-            fail_if_workspace_exists=fail_if_workspace_exists,
-            trust_workspace_config=trust_workspace_config,
-        )
-
-    def switch_workspace(  # noqa: C901
-        self,
-        workspace_handle: str = None,
-        workspace_id: str = None,
-        fail_if_workspace_exists: bool = False,
-        trust_workspace_config: bool = False,
-        # For use by lambda_handler; don't fetch the workspacetrust_workspace_config: bool = False, # For use by lambda_handler; don't fetch the workspace
-    ):
-        """Switches this client to the requested workspace, possibly creating it. If all arguments are None, the client
-        actively switches into the default workspace.
-
-        - API calls are performed manually to not result in circular imports.
-        - Note that the default workspace is technically not necessary for API usage; it will be assumed by the Engine
-          in the absense of a Workspace ID or Handle being manually specified in request headers.
-        """
-        workspace = None
-
-        if workspace_handle is None and workspace_id is None:
-            # Switch to the default workspace since no named or ID'ed workspace was provided
-            workspace_handle = "default"
-
-        if fail_if_workspace_exists:
-            logging.info(
-                f"[Client] Creating workspace with handle/id: {workspace_handle}/{workspace_id}."
-            )
-        else:
-            logging.info(
-                f"[Client] Creating/Fetching workspace with handle/id: {workspace_handle}/{workspace_id}."
-            )
-
-        # Zero out the workspace_handle on the config block in case we're being invoked from
-        # `init` (otherwise we'll attempt to create the space IN that non-existant workspace)
-        old_workspace_handle = self.config.workspace_handle
-        self.config.workspace_handle = None
-
-        if trust_workspace_config:
-            if workspace_handle is None or workspace_id is None:
-                raise SteamshipError(
-                    message="Attempted a trusted workspace switch without providing both workspace handle and workspace id."
-                )
-            return_id = workspace_id
-            return_handle = workspace_handle
-        else:
-            try:
-                if workspace_handle is not None and workspace_id is not None:
-                    get_params = {
-                        "handle": workspace_handle,
-                        "id": workspace_id,
-                        "fetchIfExists": False,
-                    }
-                    workspace = self.post("workspace/get", get_params)
-                elif workspace_handle is not None:
-                    get_params = {
-                        "handle": workspace_handle,
-                        "fetchIfExists": not fail_if_workspace_exists,
-                    }
-                    workspace = self.post("workspace/create", get_params)
-                elif workspace_id is not None:
-                    get_params = {"id": workspace_id}
-                    workspace = self.post("workspace/get", get_params)
-
-            except SteamshipError as e:
-                self.config.workspace_handle = old_workspace_handle
-                raise e
-
-            if workspace is None:
-                raise SteamshipError(
-                    message="Was unable to switch to new workspace: server returned empty Workspace."
-                )
-
-            return_id = workspace.get("workspace", {}).get("id")
-            return_handle = workspace.get("workspace", {}).get("handle")
-
-        if return_id is None or return_handle is None:
-            raise SteamshipError(
-                message="Was unable to switch to new workspace: server returned empty ID and Handle."
-            )
-
-        # Finally, set the new workspace.
-        self.config.workspace_id = return_id
-        self.config.workspace_handle = return_handle
-        logging.info(f"[Client] Switched to workspace {return_handle}/{return_id}")
-
-    def dict(self, **kwargs) -> dict:
-        # Because of the trick we do to hack these in as both static and member methods (with different
-        # implementations), Pydantic will try to include them by default. So we have to suppress that otherwise
-        # downstream serialization into JSON will fail.
-        if "exclude" not in kwargs:
-            kwargs["exclude"] = {
-                "use": True,
-                "use_plugin": True,
-                "_instance_use": True,
-                "_instance_use_plugin": True,
-                "config": {"api_key"},
-            }
-        elif isinstance(kwargs["exclude"], set):
-            kwargs["exclude"].add("use")
-            kwargs["exclude"].add("use_plugin")
-            kwargs["exclude"].add("_instance_use")
-            kwargs["exclude"].add("_instance_use_plugin")
-            kwargs["exclude"].add(
-                "config"
-            )  # the set version cannot exclude subcomponents; we must remove all config
-        elif isinstance(kwargs["exclude"], dict):
-            kwargs["exclude"]["use"] = True
-            kwargs["exclude"]["use_plugin"] = True
-            kwargs["exclude"]["_instance_use"] = True
-            kwargs["exclude"]["_instance_use_plugin"] = True
-            kwargs["exclude"]["config"] = {"api_key"}
-
-        return super().dict(**kwargs)
-
-    def _url(
-        self,
-        is_package_call: bool = False,
-        package_owner: str = None,
-        operation: str = None,
-    ):
-        if not is_package_call:
-            # Regular API call
-            base = self.config.api_base
-        else:
-            # Do the invocable version
-            if package_owner is None:
-                return SteamshipError(
-                    code="UserMissing",
-                    message="Cannot invoke a package endpoint without the package owner's user handle.",
-                    suggestion="Provide the package_owner option, or initialize your package with a lookup.",
-                )
-
-            base = self.config.app_base
-            if not is_local(base):
-                # We want to prepend the user handle
-                parts = base.split("//")
-                base = f"{parts[0]}//{package_owner}.{'//'.join(parts[1:])}"
-
-        # Clean leading and trailing "/"
-        if base[len(base) - 1] == "/":
-            base = base[:-1]
-        if operation[0] == "/":
-            operation = operation[1:]
-
-        return f"{base}/{operation}"
-
-    def _headers(  # noqa: C901
-        self,
-        is_package_call: bool = False,
-        package_owner: str = None,
-        package_id: str = None,
-        package_instance_id: str = None,
-        as_background_task: bool = False,
-        wait_on_tasks: List[Union[str, Task]] = None,
-    ):
-        headers = {"Authorization": f"Bearer {self.config.api_key.get_secret_value()}"}
-
-        if self.config.workspace_id:
-            headers["X-Workspace-Id"] = self.config.workspace_id
-        elif self.config.workspace_handle:
-            headers["X-Workspace-Handle"] = self.config.workspace_handle
-
-        if is_package_call:
-            if package_owner:
-                headers["X-Package-Owner-Handle"] = package_owner
-            if package_id:
-                headers["X-Package-Id"] = package_id
-            if package_instance_id:
-                headers["X-Package-Instance-Id"] = package_instance_id
-
-        if wait_on_tasks:
-            # Will result in the engine persisting the inbound HTTP request as a Task for deferred
-            # execution. Additionally, the task will be scheduled to first wait on the other tasks
-            # provided in the list of IDs. Accepts a list of EITHER Task objects OR task_id strings.
-            as_background_task = True
-            task_ids = []
-            for task_or_id in wait_on_tasks:
-                if isinstance(task_or_id, str):
-                    task_ids.append(task_or_id)
-                elif isinstance(task_or_id, Task):
-                    task_ids.append(task_or_id.task_id)
-                else:
-                    raise SteamshipError(
-                        message=f"`wait_on_tasks` should only contain Task or str objects. Got a {type(task_or_id)}."
-                    )
-
-            headers["X-Task-Dependency"] = ",".join(task_ids)
-
-        if as_background_task:
-            # Will result in the engine persisting the inbound HTTP request as a Task for deferred
-            # execution. The client will receive task information back instead of the synchronous API response.
-            # That task can be polled for eventual completion.
-            headers["X-Task-Background"] = "true"
-
-        return headers
-
-    @staticmethod
-    def _prepare_data(payload: Union[Request, dict]):
-        if payload is None:
-            data = {}
-        elif isinstance(payload, dict):
-            data = payload
-        elif isinstance(payload, BaseModel):
-            data = payload.dict(by_alias=True)
-        else:
-            raise RuntimeError(f"Unable to parse payload of type {type(payload)}")
-
-        return data
-
-    @staticmethod
-    def _response_data(resp, raw_response: bool = False):
-        if resp is None:
-            return None
-
-        if raw_response:
-            return resp.content
-
-        if resp.headers:
-            ct = None
-            if "Content-Type" in resp.headers:
-                ct = resp.headers["Content-Type"]
-            if "content-type" in resp.headers:
-                ct = resp.headers["content-type"]
-            if ct is not None:
-                ct = ct.split(";")[0]  # application/json; charset=utf-8
-                if ct in [MimeTypes.TXT, MimeTypes.MKD, MimeTypes.HTML]:
-                    return resp.text
-                elif ct == MimeTypes.JSON:
-                    return resp.json()
-                else:
-                    return resp.content
-
-    @staticmethod
-    def _prepare_multipart_data(data, file):
-        # Note: requests seems to have a bug passing boolean (and maybe numeric?)
-        # values in the midst of multipart form data. You need to manually convert
-        # it to a string; otherwise it will pass as False or True (with the capital),
-        # which is not standard notation outside of Python.
-        for key in data:
-            if data[key] is False:
-                data[key] = "false"
-            elif data[key] is True:
-                data[key] = "true"
-
-        result = {}
-        for key, val in data.items():
-            for t in _multipart_name(key, val):
-                result[t[0]] = t
-        result["file"] = file
-        return result
-
-    def _add_client_to_response(self, expect: Type, response_data: Any):
-        if isinstance(response_data, dict):
-            self._add_client_to_object(expect, response_data)
-        elif isinstance(response_data, list):
-            for el in response_data:
-                typing_parameters = typing.get_args(expect)
-                self._add_client_to_response(
-                    typing_parameters[0] if typing_parameters else None, el
-                )
-
-        return response_data
-
-    def _add_client_to_object(self, expect, response_data):
-        if expect and isclass(expect):
-            if len(response_data.keys()) == 1 and list(response_data.keys())[0] in (
-                to_camel(expect.__name__),
-                to_camel(expect.__name__).replace("package", "invocable"),
-                # Hack since engine uses "App" instead of "Package"
-                "index",
-                "pluginInstance",  # Inlined here since `expect` may be a subclass of pluginInstance
-            ):
-                # TODO (enias): Hack since the engine responds with incosistent formats e.g. {"plugin" : {plugin_fields}}
-                for _, v in response_data.items():
-                    self._add_client_to_response(expect, v)
-            elif issubclass(expect, BaseModel):
-                response_data["client"] = self
-                try:
-                    key_to_type = typing.get_type_hints(expect)
-                    for k, v in response_data.items():
-                        self._add_client_to_response(key_to_type.get(inflection.underscore(k)), v)
-                except NameError:
-                    # typing.get_type_hints fails for Workspace
-                    pass
-
-    def call(  # noqa: C901
-        self,
-        verb: Verb,
-        operation: str,
-        payload: Union[Request, dict] = None,
-        file: Any = None,
-        expect: Type[T] = None,
-        debug: bool = False,
-        raw_response: bool = False,
-        is_package_call: bool = False,
-        package_owner: str = None,
-        package_id: str = None,
-        package_instance_id: str = None,
-        as_background_task: bool = False,
-        wait_on_tasks: List[Union[str, Task]] = None,
-        timeout_s: Optional[float] = None,
-    ) -> Union[
-        Any, Task
-    ]:  # TODO (enias): I would like to list all possible return types using interfaces instead of Any
-        """Post to the Steamship API.
-
-        All responses have the format::
-
-        .. code-block:: json
-
-           {
-               "data": "<actual response>",
-               "error": {"reason": "<message>"}
-           } # noqa: RST203
-
-        For the Python client we return the contents of the `data` field if present, and we raise an exception
-        if the `error` field is filled in.
-        """
-        # TODO (enias): Review this codebase
-        url = self._url(
-            is_package_call=is_package_call,
-            package_owner=package_owner,
-            operation=operation,
-        )
-
-        headers = self._headers(
-            is_package_call=is_package_call,
-            package_owner=package_owner,
-            package_id=package_id,
-            package_instance_id=package_instance_id,
-            as_background_task=as_background_task,
-            wait_on_tasks=wait_on_tasks,
-        )
-
-        data = self._prepare_data(payload=payload)
-
-        logging.debug(
-            f"Making {verb} to {url} in workspace {self.config.workspace_handle}/{self.config.workspace_id}"
-        )
-        if verb == Verb.POST:
-            if file is not None:
-                files = self._prepare_multipart_data(data, file)
-                resp = self._session.post(url, files=files, headers=headers, timeout=timeout_s)
-            else:
-                resp = self._session.post(url, json=data, headers=headers, timeout=timeout_s)
-        elif verb == Verb.GET:
-            resp = self._session.get(url, params=data, headers=headers, timeout=timeout_s)
-        else:
-            raise Exception(f"Unsupported verb: {verb}")
-
-        logging.debug(f"From {verb} to {url} got HTTP {resp.status_code}")
-
-        if debug is True:
-            logging.debug(f"Got response {resp}")
-
-        response_data = self._response_data(resp, raw_response=raw_response)
-
-        logging.debug(f"Response JSON {response_data}")
-
-        task = None
-        error = None
-
-        if isinstance(response_data, dict):
-            if "status" in response_data:
-                try:
-                    task = Task.parse_obj(
-                        {**response_data["status"], "client": self, "expect": expect}
-                    )
-                    if "state" in response_data["status"]:
-                        if response_data["status"]["state"] == "failed":
-                            error = SteamshipError.from_dict(response_data["status"])
-                            logging.warning(f"Client received error from server: {error}")
-                except TypeError as e:
-                    # There's an edge case here -- if a Steamship package returns the JSON dictionary
-                    #
-                    # { "status": "status string" }
-                    #
-                    # Then the above handler will attempt to parse it and throw... But we don't actually want to throw
-                    # since we don't take a strong opinion on what the response type of a package endpoint ought to be.
-                    # It *may* choose to conform to the SteamshipResponse<T> type, but it doesn't have to.
-                    if not is_package_call:
-                        raise e
-
-                if task is not None and task.state == TaskState.failed:
-                    error = task.as_error()
-
-            if "data" in response_data:
-                if expect is not None:
-                    if issubclass(expect, SteamshipError):
-                        data = expect.from_dict({**response_data["data"], "client": self})
-                    elif issubclass(expect, BaseModel):
-                        data = expect.parse_obj(
-                            self._add_client_to_response(expect, response_data["data"])
-                        )
-                    else:
-                        raise RuntimeError(f"obj of type {expect} does not have a from_dict method")
-                else:
-                    data = response_data["data"]
-
-                if task:
-                    task.output = data
-            else:
-                data = response_data
-
-        else:
-            data = response_data
-
-        if error is not None:
-            logging.warning(f"Client received error from server: {error}", exc_info=error)
-            raise error
-
-        if not resp.ok:
-            raise SteamshipError(
-                f"API call did not complete successfully.  Server returned: {response_data}"
-            )
-
-        elif task is not None:
-            return task
-        elif data is not None and expect is not None:
-            # if we have data AND we expect it to be of a certain type,
-            # we should probably make sure that expectation is met.
-            if not isinstance(data, expect):
-                raise SteamshipError(
-                    message=f"Inconsistent response from server (data does not match expected type: {expect}.)",
-                    suggestion="Please contact support via hello@steamship.com and report what caused this error.",
-                )
-            return data
-        elif data is not None:
-            return data
-        else:
-            raise SteamshipError("Inconsistent response from server. Please contact support.")
-
-    def post(
-        self,
-        operation: str,
-        payload: Union[Request, dict, BaseModel] = None,
-        file: Any = None,
-        expect: Any = None,
-        debug: bool = False,
-        raw_response: bool = False,
-        is_package_call: bool = False,
-        package_owner: str = None,
-        package_id: str = None,
-        package_instance_id: str = None,
-        as_background_task: bool = False,
-        wait_on_tasks: List[Union[str, Task]] = None,
-        timeout_s: Optional[float] = None,
-    ) -> Union[
-        Any, Task
-    ]:  # TODO (enias): I would like to list all possible return types using interfaces instead of Any
-        return self.call(
-            verb=Verb.POST,
-            operation=operation,
-            payload=payload,
-            file=file,
-            expect=expect,
-            debug=debug,
-            raw_response=raw_response,
-            is_package_call=is_package_call,
-            package_owner=package_owner,
-            package_id=package_id,
-            package_instance_id=package_instance_id,
-            as_background_task=as_background_task,
-            wait_on_tasks=wait_on_tasks,
-            timeout_s=timeout_s,
-        )
-
-    def get(
-        self,
-        operation: str,
-        payload: Union[Request, dict] = None,
-        file: Any = None,
-        expect: Any = None,
-        debug: bool = False,
-        raw_response: bool = False,
-        is_package_call: bool = False,
-        package_owner: str = None,
-        package_id: str = None,
-        package_instance_id: str = None,
-        as_background_task: bool = False,
-        wait_on_tasks: List[Union[str, Task]] = None,
-        timeout_s: Optional[float] = None,
-    ) -> Union[
-        Any, Task
-    ]:  # TODO (enias): I would like to list all possible return types using interfaces instead of Any
-        return self.call(
-            verb=Verb.GET,
-            operation=operation,
-            payload=payload,
-            file=file,
-            expect=expect,
-            debug=debug,
-            raw_response=raw_response,
-            is_package_call=is_package_call,
-            package_owner=package_owner,
-            package_id=package_id,
-            package_instance_id=package_instance_id,
-            as_background_task=as_background_task,
-            wait_on_tasks=wait_on_tasks,
-            timeout_s=timeout_s,
-        )
-
-    def logs(
-        self,
-        offset: int = 0,
-        number: int = 50,
-        invocable_handle: Optional[str] = None,
-        instance_handle: Optional[str] = None,
-        invocable_version_handle: Optional[str] = None,
-        path: Optional[str] = None,
-    ) -> Dict[str, Any]:
-        """Return generated logs for a client.
-
-        The logs will be workspace-scoped. You will only receive logs
-        for packages and plugins that you own.
-
-        :param offset: The index of the first log entry to return. This can be used with `number` to page through logs.
-        :param number: The number of log entries to return. This can be used with `offset` to page through logs.
-        :param invocable_handle: Enables optional filtering based on the handle of package or plugin. Example: `my-package`
-        :param instance_handle: Enables optional filtering based on the handle of package instance or plugin instance. Example: `my-instance`
-        :param invocable_version_handle: Enables optional filtering based on the version handle of package or plugin. Example: `0.0.2`
-        :param path: Enables optional filtering based on request path. Example: `/generate`.
-        :return: Returns a dictionary containing the offset and number of log entries as well as a list of `entries` that match the specificed filters.
-        """
-        args = {"from": offset, "size": number}
-        if invocable_handle:
-            args["invocableHandle"] = invocable_handle
-        if instance_handle:
-            args["invocableInstanceHandle"] = instance_handle
-        if invocable_version_handle:
-            args["invocableVersionHandle"] = invocable_version_handle
-        if path:
-            args["invocablePath"] = path
-
-        return self.post("logs/list", args)
diff --git a/spaces/Jipski/MegStuart_gpt-2/README.md b/spaces/Jipski/MegStuart_gpt-2/README.md
deleted file mode 100644
index 00d3305ea972526c78e619f83ef4d0868bdaf53a..0000000000000000000000000000000000000000
--- a/spaces/Jipski/MegStuart_gpt-2/README.md
+++ /dev/null
@@ -1,37 +0,0 @@
----
-title: MegStuart_gpt 2
-emoji: 💻
-colorFrom: gray
-colorTo: blue
-sdk: streamlit
-app_file: app.py
-pinned: false
----
-
-# Configuration
-
-`title`: _string_  
-Display title for the Space
-
-`emoji`: _string_  
-Space emoji (emoji-only character allowed)
-
-`colorFrom`: _string_  
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`colorTo`: _string_  
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`sdk`: _string_  
-Can be either `gradio` or `streamlit`
-
-`sdk_version` : _string_  
-Only applicable for `streamlit` SDK.  
-See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
-
-`app_file`: _string_  
-Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
-Path is relative to the root of the repository.
-
-`pinned`: _boolean_  
-Whether the Space stays on top of your list.
diff --git a/spaces/JohnnyPittt/audio-styling/deepafx_st/processors/autodiff/fir.py b/spaces/JohnnyPittt/audio-styling/deepafx_st/processors/autodiff/fir.py
deleted file mode 100644
index c4d1aa1c21ace509bba89054284795a1f5336d0c..0000000000000000000000000000000000000000
--- a/spaces/JohnnyPittt/audio-styling/deepafx_st/processors/autodiff/fir.py
+++ /dev/null
@@ -1,68 +0,0 @@
-import torch
-
-
-class FIRFilter(torch.nn.Module):
-    def __init__(self, num_control_params=63):
-        super().__init__()
-        self.num_control_params = num_control_params
-        self.adaptor = torch.nn.Linear(num_control_params, num_control_params)
-        #self.batched_lfilter = torch.vmap(self.lfilter)
-
-    def forward(self, x, b, **kwargs):
-        """Forward pass by appling FIR filter to each batch element.
-
-        Args:
-            x (tensor): Input signals with shape (batch x 1 x samples)
-            b (tensor): Matrix of FIR filter coefficients with shape (batch x ntaps)
-
-        """
-        bs, ch, s = x.size()
-        b = self.adaptor(b)
-
-        # pad input
-        x = torch.nn.functional.pad(x, (b.shape[-1] // 2, b.shape[-1] // 2))
-
-        # add extra dim for virutal batch dim
-        x = x.view(bs, 1, ch, -1)
-        b = b.view(bs, 1, 1, -1)
-
-        # exlcuding vmap for now
-        y = self.batched_lfilter(x, b).view(bs, ch, s)
-
-        return y
-
-    @staticmethod
-    def lfilter(x, b):
-        return torch.nn.functional.conv1d(x, b)
-
-
-class FrequencyDomainFIRFilter(torch.nn.Module):
-    def __init__(self, num_control_params=31):
-        super().__init__()
-        self.num_control_params = num_control_params
-        self.adaptor = torch.nn.Linear(num_control_params, num_control_params)
-
-    def forward(self, x, b, **kwargs):
-        """Forward pass by appling FIR filter to each batch element.
-
-        Args:
-            x (tensor): Input signals with shape (batch x 1 x samples)
-            b (tensor): Matrix of FIR filter coefficients with shape (batch x ntaps)
-        """
-        bs, c, s = x.size()
-
-        b = self.adaptor(b)
-
-        # transform input to freq. domain
-        X = torch.fft.rfft(x.view(bs, -1))
-
-        # frequency response of filter
-        H = torch.fft.rfft(b.view(bs, -1))
-
-        # apply filter as multiplication in freq. domain
-        Y = X * H
-
-        # transform back to time domain
-        y = torch.fft.ifft(Y).view(bs, 1, -1)
-
-        return y
diff --git a/spaces/Kangarroar/ApplioRVC-Inference/infer/lib/uvr5_pack/lib_v5/layers_537227KB.py b/spaces/Kangarroar/ApplioRVC-Inference/infer/lib/uvr5_pack/lib_v5/layers_537227KB.py
deleted file mode 100644
index 9b127bc6427f5c60c8cf85603a3d8a093c3501c4..0000000000000000000000000000000000000000
--- a/spaces/Kangarroar/ApplioRVC-Inference/infer/lib/uvr5_pack/lib_v5/layers_537227KB.py
+++ /dev/null
@@ -1,126 +0,0 @@
-import torch
-import torch.nn.functional as F
-from torch import nn
-
-from . import spec_utils
-
-
-class Conv2DBNActiv(nn.Module):
-    def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
-        super(Conv2DBNActiv, self).__init__()
-        self.conv = nn.Sequential(
-            nn.Conv2d(
-                nin,
-                nout,
-                kernel_size=ksize,
-                stride=stride,
-                padding=pad,
-                dilation=dilation,
-                bias=False,
-            ),
-            nn.BatchNorm2d(nout),
-            activ(),
-        )
-
-    def __call__(self, x):
-        return self.conv(x)
-
-
-class SeperableConv2DBNActiv(nn.Module):
-    def __init__(self, nin, nout, ksize=3, stride=1, pad=1, dilation=1, activ=nn.ReLU):
-        super(SeperableConv2DBNActiv, self).__init__()
-        self.conv = nn.Sequential(
-            nn.Conv2d(
-                nin,
-                nin,
-                kernel_size=ksize,
-                stride=stride,
-                padding=pad,
-                dilation=dilation,
-                groups=nin,
-                bias=False,
-            ),
-            nn.Conv2d(nin, nout, kernel_size=1, bias=False),
-            nn.BatchNorm2d(nout),
-            activ(),
-        )
-
-    def __call__(self, x):
-        return self.conv(x)
-
-
-class Encoder(nn.Module):
-    def __init__(self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.LeakyReLU):
-        super(Encoder, self).__init__()
-        self.conv1 = Conv2DBNActiv(nin, nout, ksize, 1, pad, activ=activ)
-        self.conv2 = Conv2DBNActiv(nout, nout, ksize, stride, pad, activ=activ)
-
-    def __call__(self, x):
-        skip = self.conv1(x)
-        h = self.conv2(skip)
-
-        return h, skip
-
-
-class Decoder(nn.Module):
-    def __init__(
-        self, nin, nout, ksize=3, stride=1, pad=1, activ=nn.ReLU, dropout=False
-    ):
-        super(Decoder, self).__init__()
-        self.conv = Conv2DBNActiv(nin, nout, ksize, 1, pad, activ=activ)
-        self.dropout = nn.Dropout2d(0.1) if dropout else None
-
-    def __call__(self, x, skip=None):
-        x = F.interpolate(x, scale_factor=2, mode="bilinear", align_corners=True)
-        if skip is not None:
-            skip = spec_utils.crop_center(skip, x)
-            x = torch.cat([x, skip], dim=1)
-        h = self.conv(x)
-
-        if self.dropout is not None:
-            h = self.dropout(h)
-
-        return h
-
-
-class ASPPModule(nn.Module):
-    def __init__(self, nin, nout, dilations=(4, 8, 16, 32, 64), activ=nn.ReLU):
-        super(ASPPModule, self).__init__()
-        self.conv1 = nn.Sequential(
-            nn.AdaptiveAvgPool2d((1, None)),
-            Conv2DBNActiv(nin, nin, 1, 1, 0, activ=activ),
-        )
-        self.conv2 = Conv2DBNActiv(nin, nin, 1, 1, 0, activ=activ)
-        self.conv3 = SeperableConv2DBNActiv(
-            nin, nin, 3, 1, dilations[0], dilations[0], activ=activ
-        )
-        self.conv4 = SeperableConv2DBNActiv(
-            nin, nin, 3, 1, dilations[1], dilations[1], activ=activ
-        )
-        self.conv5 = SeperableConv2DBNActiv(
-            nin, nin, 3, 1, dilations[2], dilations[2], activ=activ
-        )
-        self.conv6 = SeperableConv2DBNActiv(
-            nin, nin, 3, 1, dilations[2], dilations[2], activ=activ
-        )
-        self.conv7 = SeperableConv2DBNActiv(
-            nin, nin, 3, 1, dilations[2], dilations[2], activ=activ
-        )
-        self.bottleneck = nn.Sequential(
-            Conv2DBNActiv(nin * 7, nout, 1, 1, 0, activ=activ), nn.Dropout2d(0.1)
-        )
-
-    def forward(self, x):
-        _, _, h, w = x.size()
-        feat1 = F.interpolate(
-            self.conv1(x), size=(h, w), mode="bilinear", align_corners=True
-        )
-        feat2 = self.conv2(x)
-        feat3 = self.conv3(x)
-        feat4 = self.conv4(x)
-        feat5 = self.conv5(x)
-        feat6 = self.conv6(x)
-        feat7 = self.conv7(x)
-        out = torch.cat((feat1, feat2, feat3, feat4, feat5, feat6, feat7), dim=1)
-        bottle = self.bottleneck(out)
-        return bottle
diff --git a/spaces/Kedreamix/YoloGesture/utils/__init__.py b/spaces/Kedreamix/YoloGesture/utils/__init__.py
deleted file mode 100644
index 4287ca8617970fa8fc025b75cb319c7032706910..0000000000000000000000000000000000000000
--- a/spaces/Kedreamix/YoloGesture/utils/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-#
\ No newline at end of file
diff --git a/spaces/KonradSzafer/HF-QA-Demo/tests/discord_bot/client/__init__.py b/spaces/KonradSzafer/HF-QA-Demo/tests/discord_bot/client/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/spaces/KyanChen/RSPrompter/configs/rsprompter/maskrcnn_ssdd_config.py b/spaces/KyanChen/RSPrompter/configs/rsprompter/maskrcnn_ssdd_config.py
deleted file mode 100644
index 9a9a667840126dbfbd39b010b130cb542f876080..0000000000000000000000000000000000000000
--- a/spaces/KyanChen/RSPrompter/configs/rsprompter/maskrcnn_ssdd_config.py
+++ /dev/null
@@ -1,345 +0,0 @@
-custom_imports = dict(imports=['mmseg.datasets', 'mmseg.models', 'mmdet.models'], allow_failed_imports=False)
-
-max_epochs = 500
-
-optimizer = dict(
-    type='AdamW',
-    lr=0.0005,
-    weight_decay=1e-4
-)
-
-param_scheduler = [
-    # warm up learning rate scheduler
-    dict(
-        type='LinearLR',
-        start_factor=1e-4,
-        by_epoch=True,
-        begin=0,
-        end=1,
-        # update by iter
-        convert_to_iter_based=True),
-    # main learning rate scheduler
-    dict(
-        type='CosineAnnealingLR',
-        T_max=max_epochs,
-        by_epoch=True,
-        begin=1,
-        end=max_epochs,
-    )
-]
-
-param_scheduler_callback = dict(
-    type='ParamSchedulerHook'
-)
-
-
-evaluator_ = dict(
-        type='CocoPLMetric',
-        metric=['bbox', 'segm'],
-        proposal_nums=[1, 10, 100]
-)
-
-evaluator = dict(
-    val_evaluator=evaluator_,
-)
-
-
-image_size = (512, 512)
-data_preprocessor = dict(
-        type='mmdet.DetDataPreprocessor',
-        mean=[123.675, 116.28, 103.53],
-        std=[58.395, 57.12, 57.375],
-        bgr_to_rgb=True,
-        pad_mask=True,
-        mask_pad_value=0,
-        pad_size_divisor=32
-)
-
-num_things_classes = 1
-num_stuff_classes = 0
-num_classes = num_things_classes + num_stuff_classes
-num_queries = 100
-
-# model settings
-model = dict(
-    type='mmdet.MaskRCNN',
-    data_preprocessor=data_preprocessor,
-    backbone=dict(
-        type='mmdet.ResNet',
-        depth=50,
-        num_stages=4,
-        out_indices=(0, 1, 2, 3),
-        frozen_stages=-1,
-        norm_cfg=dict(type='BN', requires_grad=True),
-        norm_eval=True,
-        style='pytorch',
-        init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50')
-    ),
-    neck=dict(
-        type='mmdet.FPN',
-        in_channels=[256, 512, 1024, 2048],
-        out_channels=256,
-        num_outs=5),
-    rpn_head=dict(
-        type='mmdet.RPNHead',
-        in_channels=256,
-        feat_channels=256,
-        anchor_generator=dict(
-            type='mmdet.AnchorGenerator',
-            scales=[8],
-            ratios=[0.5, 1.0, 2.0],
-            strides=[4, 8, 16, 32, 64]),
-        bbox_coder=dict(
-            type='mmdet.DeltaXYWHBBoxCoder',
-            target_means=[.0, .0, .0, .0],
-            target_stds=[1.0, 1.0, 1.0, 1.0]),
-        loss_cls=dict(
-            type='mmdet.CrossEntropyLoss', use_sigmoid=True, loss_weight=1.0),
-        loss_bbox=dict(type='mmdet.L1Loss', loss_weight=1.0)),
-    roi_head=dict(
-        type='mmdet.StandardRoIHead',
-        bbox_roi_extractor=dict(
-            type='mmdet.SingleRoIExtractor',
-            roi_layer=dict(type='RoIAlign', output_size=7, sampling_ratio=0),
-            out_channels=256,
-            featmap_strides=[4, 8, 16, 32]),
-        bbox_head=dict(
-            type='mmdet.Shared2FCBBoxHead',
-            in_channels=256,
-            fc_out_channels=1024,
-            roi_feat_size=7,
-            num_classes=num_classes,
-            bbox_coder=dict(
-                type='mmdet.DeltaXYWHBBoxCoder',
-                target_means=[0., 0., 0., 0.],
-                target_stds=[0.1, 0.1, 0.2, 0.2]),
-            reg_class_agnostic=False,
-            loss_cls=dict(
-                type='mmdet.CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0),
-            loss_bbox=dict(type='mmdet.L1Loss', loss_weight=1.0)),
-        mask_roi_extractor=dict(
-            type='mmdet.SingleRoIExtractor',
-            roi_layer=dict(type='RoIAlign', output_size=14, sampling_ratio=0),
-            out_channels=256,
-            featmap_strides=[4, 8, 16, 32]),
-        mask_head=dict(
-            type='mmdet.FCNMaskHead',
-            num_convs=4,
-            in_channels=256,
-            conv_out_channels=256,
-            num_classes=num_classes,
-            loss_mask=dict(
-                type='mmdet.CrossEntropyLoss', use_mask=True, loss_weight=1.0))),
-    # model training and testing settings
-    train_cfg=dict(
-        rpn=dict(
-            assigner=dict(
-                type='mmdet.MaxIoUAssigner',
-                pos_iou_thr=0.7,
-                neg_iou_thr=0.3,
-                min_pos_iou=0.3,
-                match_low_quality=True,
-                ignore_iof_thr=-1),
-            sampler=dict(
-                type='mmdet.RandomSampler',
-                num=256,
-                pos_fraction=0.5,
-                neg_pos_ub=-1,
-                add_gt_as_proposals=False),
-            allowed_border=-1,
-            pos_weight=-1,
-            debug=False),
-        rpn_proposal=dict(
-            nms_pre=2000,
-            max_per_img=1000,
-            nms=dict(type='nms', iou_threshold=0.7),
-            min_bbox_size=0),
-        rcnn=dict(
-            assigner=dict(
-                type='mmdet.MaxIoUAssigner',
-                pos_iou_thr=0.5,
-                neg_iou_thr=0.5,
-                min_pos_iou=0.5,
-                match_low_quality=True,
-                ignore_iof_thr=-1),
-            sampler=dict(
-                type='mmdet.RandomSampler',
-                num=512,
-                pos_fraction=0.25,
-                neg_pos_ub=-1,
-                add_gt_as_proposals=True),
-            mask_size=28,
-            pos_weight=-1,
-            debug=False)),
-    test_cfg=dict(
-        rpn=dict(
-            nms_pre=1000,
-            max_per_img=1000,
-            nms=dict(type='nms', iou_threshold=0.7),
-            min_bbox_size=0),
-        rcnn=dict(
-            score_thr=0.05,
-            nms=dict(type='nms', iou_threshold=0.5),
-            max_per_img=100,
-            mask_thr_binary=0.5)
-    )
-)
-
-
-model_cfg = dict(
-    type='MMDetPLer',
-    hyperparameters=dict(
-        optimizer=optimizer,
-        param_scheduler=param_scheduler,
-        evaluator=evaluator,
-    ),
-    whole_model=model,
-)
-
-task_name = 'ssdd_ins'
-exp_name = 'E20230526_0'
-logger = dict(
-    type='WandbLogger',
-    project=task_name,
-    group='maskrcnn',
-    name=exp_name
-)
-# logger = None
-
-
-callbacks = [
-    param_scheduler_callback,
-    dict(
-        type='ModelCheckpoint',
-        dirpath=f'results/{task_name}/{exp_name}/checkpoints',
-        save_last=True,
-        mode='max',
-        monitor='valmap_0',
-        save_top_k=2,
-        filename='epoch_{epoch}-map_{valmap_0:.4f}'
-        # mode='min',
-        # monitor='train_loss',
-        # save_top_k=2,
-        # filename='epoch_{epoch}-trainloss_{train_loss:.4f}'
-    ),
-    dict(
-        type='LearningRateMonitor',
-        logging_interval='step'
-    )
-]
-
-
-trainer_cfg = dict(
-    compiled_model=False,
-    accelerator="auto",
-    strategy="auto",
-    # strategy="ddp",
-    # strategy='ddp_find_unused_parameters_true',
-    # precision='32',
-    # precision='16-mixed',
-    devices=4,
-    default_root_dir=f'results/{task_name}/{exp_name}',
-    # default_root_dir='results/tmp',
-    max_epochs=max_epochs,
-    logger=logger,
-    callbacks=callbacks,
-    log_every_n_steps=10,
-    check_val_every_n_epoch=10,
-    benchmark=True,
-    # sync_batchnorm=True,
-    # fast_dev_run=True,
-
-    # limit_train_batches=1,
-    # limit_val_batches=0,
-    # limit_test_batches=None,
-    # limit_predict_batches=None,
-    # overfit_batches=0.0,
-
-    # val_check_interval=None,
-    # num_sanity_val_steps=1,
-    # enable_checkpointing=None,
-    # enable_progress_bar=None,
-    # enable_model_summary=None,
-    # accumulate_grad_batches=32,
-    # gradient_clip_val=15,
-    # gradient_clip_algorithm='norm',
-    # deterministic=None,
-    # inference_mode: bool=True,
-    use_distributed_sampler=True,
-    # profiler="simple",
-    # detect_anomaly=False,
-    # barebones=False,
-    # plugins=None,
-    # reload_dataloaders_every_n_epochs=0,
-)
-
-
-backend_args = None
-train_pipeline = [
-    dict(type='mmdet.LoadImageFromFile'),
-    dict(type='mmdet.LoadAnnotations', with_bbox=True, with_mask=True),
-    dict(type='mmdet.Resize', scale=image_size),
-    dict(type='mmdet.RandomFlip', prob=0.5),
-    dict(type='mmdet.PackDetInputs')
-]
-
-test_pipeline = [
-    dict(type='mmdet.LoadImageFromFile', backend_args=backend_args),
-    dict(type='mmdet.Resize', scale=image_size),
-    # If you don't have a gt annotation, delete the pipeline
-    dict(type='mmdet.LoadAnnotations', with_bbox=True, with_mask=True),
-    dict(
-        type='mmdet.PackDetInputs',
-        meta_keys=('img_id', 'img_path', 'ori_shape', 'img_shape',
-                   'scale_factor'))
-]
-
-
-train_batch_size_per_gpu = 8
-train_num_workers = 4
-test_batch_size_per_gpu = 8
-test_num_workers = 4
-persistent_workers = True
-
-data_parent = '/Users/kyanchen/datasets/seg/SSDD'
-# data_parent = '/mnt/search01/dataset/cky_data/SSDD'
-
-dataset_type = 'SSDDInsSegDataset'
-
-val_loader = dict(
-    batch_size=test_batch_size_per_gpu,
-    num_workers=test_num_workers,
-    persistent_workers=persistent_workers,
-    pin_memory=True,
-    dataset=dict(
-        type=dataset_type,
-        data_root=data_parent,
-        ann_file='annotations/SSDD_instances_val.json',
-        data_prefix=dict(img_path='imgs'),
-        test_mode=True,
-        filter_cfg=dict(filter_empty_gt=True, min_size=32),
-        pipeline=test_pipeline,
-        backend_args=backend_args
-    )
-)
-
-datamodule_cfg = dict(
-    type='PLDataModule',
-    train_loader=dict(
-        batch_size=train_batch_size_per_gpu,
-        num_workers=train_num_workers,
-        persistent_workers=persistent_workers,
-        pin_memory=True,
-        dataset=dict(
-            type=dataset_type,
-            data_root=data_parent,
-            ann_file='annotations/SSDD_instances_train.json',
-            data_prefix=dict(img_path='imgs'),
-            filter_cfg=dict(filter_empty_gt=True, min_size=32),
-            pipeline=train_pipeline,
-            backend_args=backend_args)
-    ),
-    val_loader=val_loader,
-    test_loader=val_loader,
-    predict_loader=val_loader
-)
\ No newline at end of file
diff --git a/spaces/KyanChen/RSPrompter/mmdet/models/losses/varifocal_loss.py b/spaces/KyanChen/RSPrompter/mmdet/models/losses/varifocal_loss.py
deleted file mode 100644
index 58ab167352e1ae32566f5e731339966d5fd10759..0000000000000000000000000000000000000000
--- a/spaces/KyanChen/RSPrompter/mmdet/models/losses/varifocal_loss.py
+++ /dev/null
@@ -1,141 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-from typing import Optional
-
-import torch.nn as nn
-import torch.nn.functional as F
-from torch import Tensor
-
-from mmdet.registry import MODELS
-from .utils import weight_reduce_loss
-
-
-def varifocal_loss(pred: Tensor,
-                   target: Tensor,
-                   weight: Optional[Tensor] = None,
-                   alpha: float = 0.75,
-                   gamma: float = 2.0,
-                   iou_weighted: bool = True,
-                   reduction: str = 'mean',
-                   avg_factor: Optional[int] = None) -> Tensor:
-    """`Varifocal Loss <https://arxiv.org/abs/2008.13367>`_
-
-    Args:
-        pred (Tensor): The prediction with shape (N, C), C is the
-            number of classes.
-        target (Tensor): The learning target of the iou-aware
-            classification score with shape (N, C), C is the number of classes.
-        weight (Tensor, optional): The weight of loss for each
-            prediction. Defaults to None.
-        alpha (float, optional): A balance factor for the negative part of
-            Varifocal Loss, which is different from the alpha of Focal Loss.
-            Defaults to 0.75.
-        gamma (float, optional): The gamma for calculating the modulating
-            factor. Defaults to 2.0.
-        iou_weighted (bool, optional): Whether to weight the loss of the
-            positive example with the iou target. Defaults to True.
-        reduction (str, optional): The method used to reduce the loss into
-            a scalar. Defaults to 'mean'. Options are "none", "mean" and
-            "sum".
-        avg_factor (int, optional): Average factor that is used to average
-            the loss. Defaults to None.
-
-    Returns:
-        Tensor: Loss tensor.
-    """
-    # pred and target should be of the same size
-    assert pred.size() == target.size()
-    pred_sigmoid = pred.sigmoid()
-    target = target.type_as(pred)
-    if iou_weighted:
-        focal_weight = target * (target > 0.0).float() + \
-            alpha * (pred_sigmoid - target).abs().pow(gamma) * \
-            (target <= 0.0).float()
-    else:
-        focal_weight = (target > 0.0).float() + \
-            alpha * (pred_sigmoid - target).abs().pow(gamma) * \
-            (target <= 0.0).float()
-    loss = F.binary_cross_entropy_with_logits(
-        pred, target, reduction='none') * focal_weight
-    loss = weight_reduce_loss(loss, weight, reduction, avg_factor)
-    return loss
-
-
-@MODELS.register_module()
-class VarifocalLoss(nn.Module):
-
-    def __init__(self,
-                 use_sigmoid: bool = True,
-                 alpha: float = 0.75,
-                 gamma: float = 2.0,
-                 iou_weighted: bool = True,
-                 reduction: str = 'mean',
-                 loss_weight: float = 1.0) -> None:
-        """`Varifocal Loss <https://arxiv.org/abs/2008.13367>`_
-
-        Args:
-            use_sigmoid (bool, optional): Whether the prediction is
-                used for sigmoid or softmax. Defaults to True.
-            alpha (float, optional): A balance factor for the negative part of
-                Varifocal Loss, which is different from the alpha of Focal
-                Loss. Defaults to 0.75.
-            gamma (float, optional): The gamma for calculating the modulating
-                factor. Defaults to 2.0.
-            iou_weighted (bool, optional): Whether to weight the loss of the
-                positive examples with the iou target. Defaults to True.
-            reduction (str, optional): The method used to reduce the loss into
-                a scalar. Defaults to 'mean'. Options are "none", "mean" and
-                "sum".
-            loss_weight (float, optional): Weight of loss. Defaults to 1.0.
-        """
-        super().__init__()
-        assert use_sigmoid is True, \
-            'Only sigmoid varifocal loss supported now.'
-        assert alpha >= 0.0
-        self.use_sigmoid = use_sigmoid
-        self.alpha = alpha
-        self.gamma = gamma
-        self.iou_weighted = iou_weighted
-        self.reduction = reduction
-        self.loss_weight = loss_weight
-
-    def forward(self,
-                pred: Tensor,
-                target: Tensor,
-                weight: Optional[Tensor] = None,
-                avg_factor: Optional[int] = None,
-                reduction_override: Optional[str] = None) -> Tensor:
-        """Forward function.
-
-        Args:
-            pred (Tensor): The prediction with shape (N, C), C is the
-                number of classes.
-            target (Tensor): The learning target of the iou-aware
-                classification score with shape (N, C), C is
-                the number of classes.
-            weight (Tensor, optional): The weight of loss for each
-                prediction. Defaults to None.
-            avg_factor (int, optional): Average factor that is used to average
-                the loss. Defaults to None.
-            reduction_override (str, optional): The reduction method used to
-                override the original reduction method of the loss.
-                Options are "none", "mean" and "sum".
-
-        Returns:
-            Tensor: The calculated loss
-        """
-        assert reduction_override in (None, 'none', 'mean', 'sum')
-        reduction = (
-            reduction_override if reduction_override else self.reduction)
-        if self.use_sigmoid:
-            loss_cls = self.loss_weight * varifocal_loss(
-                pred,
-                target,
-                weight,
-                alpha=self.alpha,
-                gamma=self.gamma,
-                iou_weighted=self.iou_weighted,
-                reduction=reduction,
-                avg_factor=avg_factor)
-        else:
-            raise NotImplementedError
-        return loss_cls
diff --git a/spaces/Laihiujin/OneFormer/oneformer/data/dataset_mappers/__init__.py b/spaces/Laihiujin/OneFormer/oneformer/data/dataset_mappers/__init__.py
deleted file mode 100644
index 8b137891791fe96927ad78e64b0aad7bded08bdc..0000000000000000000000000000000000000000
--- a/spaces/Laihiujin/OneFormer/oneformer/data/dataset_mappers/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/spaces/Linly-AI/Linly-ChatFlow/app.py b/spaces/Linly-AI/Linly-ChatFlow/app.py
deleted file mode 100644
index 1dec5aa30853d37e259ecfbfcd3cfd3670fb89ea..0000000000000000000000000000000000000000
--- a/spaces/Linly-AI/Linly-ChatFlow/app.py
+++ /dev/null
@@ -1,54 +0,0 @@
-import os
-
-os.environ['CUDA_LAUNCH_BLOCKING'] = '1'
-
-import torch
-import gradio as gr
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-
-def init_model():
-    model = AutoModelForCausalLM.from_pretrained("Linly-AI/Chinese-LLaMA-2-7B-hf", device_map="cuda:0",
-                                                 torch_dtype=torch.bfloat16, trust_remote_code=True)
-    tokenizer = AutoTokenizer.from_pretrained("Linly-AI/Chinese-LLaMA-2-7B-hf", use_fast=False, trust_remote_code=True)
-    return model, tokenizer
-
-
-def process(message, history):
-    input_prompt = ""
-    for interaction in history:
-        input_prompt = f"{input_prompt} User: {str(interaction[0]).strip(' ')} Bot: {str(interaction[1]).strip(' ')}"
-    input_prompt = f"{input_prompt} ### Instruction:{message.strip()}  ### Response:"
-    inputs = tokenizer(input_prompt, return_tensors="pt").to("cuda:0")
-    try:
-        generate_ids = model.generate(inputs.input_ids, max_new_tokens=2048, do_sample=True, top_k=20, top_p=0.84,
-                                      temperature=1, repetition_penalty=1.15, eos_token_id=2, bos_token_id=1,
-                                      pad_token_id=0)
-        response = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
-        print('log:', response)
-        response = response.split("### Response:")[-1]
-        return response
-    except:
-        return "Error: 会话超长，请重试！"
-
-
-if __name__ == '__main__':
-    examples = ["Python和JavaScript编程语言的主要区别是什么？", "影响消费者行为的主要因素是什么？", "请用pytorch实现一个带ReLU激活函数的全连接层的代码",
-                "请用C++编程语言实现“给你两个字符串haystack和needle，在haystack字符串中找出needle字符串的第一个匹配项的下标（下标从 0 开始）。如果needle不是haystack的一部分，则返回-1。",
-                "如何使用ssh -L，请用具体例子说明",
-                "应对压力最有效的方法是什么？"]
-    model, tokenizer = init_model()
-    demo = gr.ChatInterface(
-        process,
-        chatbot=gr.Chatbot(height=600),
-        textbox=gr.Textbox(placeholder="Input", container=False, scale=7),
-        title="Linly ChatFlow",
-        description="",
-        theme="soft",
-        examples=examples,
-        cache_examples=True,
-        retry_btn="Retry",
-        undo_btn="Delete Previous",
-        clear_btn="Clear",
-    )
-    demo.queue(concurrency_count=75).launch()
\ No newline at end of file
diff --git "a/spaces/Liu-LAB/GPT-academic/crazy_functions/\346\211\271\351\207\217\347\277\273\350\257\221PDF\346\226\207\346\241\243_\345\244\232\347\272\277\347\250\213.py" "b/spaces/Liu-LAB/GPT-academic/crazy_functions/\346\211\271\351\207\217\347\277\273\350\257\221PDF\346\226\207\346\241\243_\345\244\232\347\272\277\347\250\213.py"
deleted file mode 100644
index 6e9fe6a84a85f6fc13d4181bea0fbd86037d9743..0000000000000000000000000000000000000000
--- "a/spaces/Liu-LAB/GPT-academic/crazy_functions/\346\211\271\351\207\217\347\277\273\350\257\221PDF\346\226\207\346\241\243_\345\244\232\347\272\277\347\250\213.py"
+++ /dev/null
@@ -1,309 +0,0 @@
-from toolbox import CatchException, report_execption, write_results_to_file
-from toolbox import update_ui, promote_file_to_downloadzone, update_ui_lastest_msg, disable_auto_promotion
-from toolbox import write_history_to_file, get_log_folder
-from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
-from .crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
-from .crazy_utils import read_and_clean_pdf_text
-from .pdf_fns.parse_pdf import parse_pdf, get_avail_grobid_url
-from colorful import *
-import glob
-import os
-import math
-
-@CatchException
-def 批量翻译PDF文档(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
-
-    disable_auto_promotion(chatbot)
-    # 基本信息：功能、贡献者
-    chatbot.append([
-        "函数插件功能？",
-        "批量翻译PDF文档。函数插件贡献者: Binary-Husky"])
-    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-
-    # 尝试导入依赖，如果缺少依赖，则给出安装建议
-    try:
-        import fitz
-        import tiktoken
-        import scipdf
-    except:
-        report_execption(chatbot, history,
-                         a=f"解析项目: {txt}",
-                         b=f"导入软件依赖失败。使用该模块需要额外依赖，安装方法```pip install --upgrade pymupdf tiktoken scipdf_parser```。")
-        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-        return
-
-    # 清空历史，以免输入溢出
-    history = []
-
-    from .crazy_utils import get_files_from_everything
-    success, file_manifest, project_folder = get_files_from_everything(txt, type='.pdf')
-    # 检测输入参数，如没有给定输入参数，直接退出
-    if not success:
-        if txt == "": txt = '空空如也的输入栏'
-
-    # 如果没找到任何文件
-    if len(file_manifest) == 0:
-        report_execption(chatbot, history,
-                         a=f"解析项目: {txt}", b=f"找不到任何.tex或.pdf文件: {txt}")
-        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-        return
-
-    # 开始正式执行任务
-    grobid_url = get_avail_grobid_url()
-    if grobid_url is not None:
-        yield from 解析PDF_基于GROBID(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, grobid_url)
-    else:
-        yield from update_ui_lastest_msg("GROBID服务不可用，请检查config中的GROBID_URL。作为替代，现在将执行效果稍差的旧版代码。", chatbot, history, delay=3)
-        yield from 解析PDF(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt)
-
-
-def 解析PDF_基于GROBID(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, grobid_url):
-    import copy
-    TOKEN_LIMIT_PER_FRAGMENT = 1280
-    generated_conclusion_files = []
-    generated_html_files = []
-    DST_LANG = "中文"
-    for index, fp in enumerate(file_manifest):
-        chatbot.append(["当前进度：", f"正在连接GROBID服务，请稍候: {grobid_url}\n如果等待时间过长，请修改config中的GROBID_URL，可修改成本地GROBID服务。"]); yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-        article_dict = parse_pdf(fp, grobid_url)
-        if article_dict is None: raise RuntimeError("解析PDF失败，请检查PDF是否损坏。")
-        prompt = "以下是一篇学术论文的基本信息:\n"
-        # title
-        title = article_dict.get('title', '无法获取 title'); prompt += f'title:{title}\n\n'
-        # authors
-        authors = article_dict.get('authors', '无法获取 authors'); prompt += f'authors:{authors}\n\n'
-        # abstract
-        abstract = article_dict.get('abstract', '无法获取 abstract'); prompt += f'abstract:{abstract}\n\n'
-        # command
-        prompt += f"请将题目和摘要翻译为{DST_LANG}。"
-        meta = [f'# Title:\n\n', title, f'# Abstract:\n\n', abstract ]
-
-        # 单线，获取文章meta信息
-        paper_meta_info = yield from request_gpt_model_in_new_thread_with_ui_alive(
-            inputs=prompt,
-            inputs_show_user=prompt,
-            llm_kwargs=llm_kwargs,
-            chatbot=chatbot, history=[],
-            sys_prompt="You are an academic paper reader。",
-        )
-
-        # 多线，翻译
-        inputs_array = []
-        inputs_show_user_array = []
-
-        # get_token_num
-        from request_llm.bridge_all import model_info
-        enc = model_info[llm_kwargs['llm_model']]['tokenizer']
-        def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
-        from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
-
-        def break_down(txt):
-            raw_token_num = get_token_num(txt)
-            if raw_token_num <= TOKEN_LIMIT_PER_FRAGMENT:
-                return [txt]
-            else:
-                # raw_token_num > TOKEN_LIMIT_PER_FRAGMENT
-                # find a smooth token limit to achieve even seperation
-                count = int(math.ceil(raw_token_num / TOKEN_LIMIT_PER_FRAGMENT))
-                token_limit_smooth = raw_token_num // count + count
-                return breakdown_txt_to_satisfy_token_limit_for_pdf(txt, get_token_fn=get_token_num, limit=token_limit_smooth)
-
-        for section in article_dict.get('sections'):
-            if len(section['text']) == 0: continue
-            section_frags = break_down(section['text'])
-            for i, fragment in enumerate(section_frags):
-                heading = section['heading']
-                if len(section_frags) > 1: heading += f' Part-{i+1}'
-                inputs_array.append(
-                    f"你需要翻译{heading}章节，内容如下: \n\n{fragment}"
-                )
-                inputs_show_user_array.append(
-                    f"# {heading}\n\n{fragment}"
-                )
-
-        gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
-            inputs_array=inputs_array,
-            inputs_show_user_array=inputs_show_user_array,
-            llm_kwargs=llm_kwargs,
-            chatbot=chatbot,
-            history_array=[meta for _ in inputs_array],
-            sys_prompt_array=[
-                "请你作为一个学术翻译，负责把学术论文准确翻译成中文。注意文章中的每一句话都要翻译。" for _ in inputs_array],
-        )
-        res_path = write_history_to_file(meta +  ["# Meta Translation" , paper_meta_info] + gpt_response_collection, file_basename=None, file_fullname=None)
-        promote_file_to_downloadzone(res_path, rename_file=os.path.basename(fp)+'.md', chatbot=chatbot)
-        generated_conclusion_files.append(res_path)
-
-        ch = construct_html() 
-        orig = ""
-        trans = ""
-        gpt_response_collection_html = copy.deepcopy(gpt_response_collection)
-        for i,k in enumerate(gpt_response_collection_html): 
-            if i%2==0:
-                gpt_response_collection_html[i] = inputs_show_user_array[i//2]
-            else:
-                gpt_response_collection_html[i] = gpt_response_collection_html[i]
-
-        final = ["", "", "一、论文概况",  "", "Abstract", paper_meta_info,  "二、论文翻译",  ""]
-        final.extend(gpt_response_collection_html)
-        for i, k in enumerate(final): 
-            if i%2==0:
-                orig = k
-            if i%2==1:
-                trans = k
-                ch.add_row(a=orig, b=trans)
-        create_report_file_name = f"{os.path.basename(fp)}.trans.html"
-        html_file = ch.save_file(create_report_file_name)
-        generated_html_files.append(html_file)
-        promote_file_to_downloadzone(html_file, rename_file=os.path.basename(html_file), chatbot=chatbot)
-
-    chatbot.append(("给出输出文件清单", str(generated_conclusion_files + generated_html_files)))
-    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-
-
-def 解析PDF(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
-    import copy
-    TOKEN_LIMIT_PER_FRAGMENT = 1280
-    generated_conclusion_files = []
-    generated_html_files = []
-    for index, fp in enumerate(file_manifest):
-        # 读取PDF文件
-        file_content, page_one = read_and_clean_pdf_text(fp)
-        file_content = file_content.encode('utf-8', 'ignore').decode()   # avoid reading non-utf8 chars
-        page_one = str(page_one).encode('utf-8', 'ignore').decode()      # avoid reading non-utf8 chars
-
-        # 递归地切割PDF文件
-        from .crazy_utils import breakdown_txt_to_satisfy_token_limit_for_pdf
-        from request_llm.bridge_all import model_info
-        enc = model_info["gpt-3.5-turbo"]['tokenizer']
-        def get_token_num(txt): return len(enc.encode(txt, disallowed_special=()))
-        paper_fragments = breakdown_txt_to_satisfy_token_limit_for_pdf(
-            txt=file_content,  get_token_fn=get_token_num, limit=TOKEN_LIMIT_PER_FRAGMENT)
-        page_one_fragments = breakdown_txt_to_satisfy_token_limit_for_pdf(
-            txt=page_one, get_token_fn=get_token_num, limit=TOKEN_LIMIT_PER_FRAGMENT//4)
-
-        # 为了更好的效果，我们剥离Introduction之后的部分（如果有）
-        paper_meta = page_one_fragments[0].split('introduction')[0].split('Introduction')[0].split('INTRODUCTION')[0]
-        
-        # 单线，获取文章meta信息
-        paper_meta_info = yield from request_gpt_model_in_new_thread_with_ui_alive(
-            inputs=f"以下是一篇学术论文的基础信息，请从中提取出“标题”、“收录会议或期刊”、“作者”、“摘要”、“编号”、“作者邮箱”这六个部分。请用markdown格式输出，最后用中文翻译摘要部分。请提取：{paper_meta}",
-            inputs_show_user=f"请从{fp}中提取出“标题”、“收录会议或期刊”等基本信息。",
-            llm_kwargs=llm_kwargs,
-            chatbot=chatbot, history=[],
-            sys_prompt="Your job is to collect information from materials。",
-        )
-
-        # 多线，翻译
-        gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
-            inputs_array=[
-                f"你需要翻译以下内容：\n{frag}" for frag in paper_fragments],
-            inputs_show_user_array=[f"\n---\n 原文： \n\n {frag.replace('#', '')}  \n---\n 翻译：\n " for frag in paper_fragments],
-            llm_kwargs=llm_kwargs,
-            chatbot=chatbot,
-            history_array=[[paper_meta] for _ in paper_fragments],
-            sys_prompt_array=[
-                "请你作为一个学术翻译，负责把学术论文准确翻译成中文。注意文章中的每一句话都要翻译。" for _ in paper_fragments],
-            # max_workers=5  # OpenAI所允许的最大并行过载
-        )
-        gpt_response_collection_md = copy.deepcopy(gpt_response_collection)
-        # 整理报告的格式
-        for i,k in enumerate(gpt_response_collection_md): 
-            if i%2==0:
-                gpt_response_collection_md[i] = f"\n\n---\n\n ## 原文[{i//2}/{len(gpt_response_collection_md)//2}]： \n\n {paper_fragments[i//2].replace('#', '')}  \n\n---\n\n ## 翻译[{i//2}/{len(gpt_response_collection_md)//2}]：\n "
-            else:
-                gpt_response_collection_md[i] = gpt_response_collection_md[i]
-        final = ["一、论文概况\n\n---\n\n", paper_meta_info.replace('# ', '### ') + '\n\n---\n\n', "二、论文翻译", ""]
-        final.extend(gpt_response_collection_md)
-        create_report_file_name = f"{os.path.basename(fp)}.trans.md"
-        res = write_results_to_file(final, file_name=create_report_file_name)
-
-        # 更新UI
-        generated_conclusion_files.append(f'./gpt_log/{create_report_file_name}')
-        chatbot.append((f"{fp}完成了吗？", res))
-        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-
-        # write html
-        try:
-            ch = construct_html() 
-            orig = ""
-            trans = ""
-            gpt_response_collection_html = copy.deepcopy(gpt_response_collection)
-            for i,k in enumerate(gpt_response_collection_html): 
-                if i%2==0:
-                    gpt_response_collection_html[i] = paper_fragments[i//2].replace('#', '')
-                else:
-                    gpt_response_collection_html[i] = gpt_response_collection_html[i]
-            final = ["论文概况", paper_meta_info.replace('# ', '### '),  "二、论文翻译",  ""]
-            final.extend(gpt_response_collection_html)
-            for i, k in enumerate(final): 
-                if i%2==0:
-                    orig = k
-                if i%2==1:
-                    trans = k
-                    ch.add_row(a=orig, b=trans)
-            create_report_file_name = f"{os.path.basename(fp)}.trans.html"
-            generated_html_files.append(ch.save_file(create_report_file_name))
-        except:
-            from toolbox import trimmed_format_exc
-            print('writing html result failed:', trimmed_format_exc())
-
-    # 准备文件的下载
-    for pdf_path in generated_conclusion_files:
-        # 重命名文件
-        rename_file = f'翻译-{os.path.basename(pdf_path)}'
-        promote_file_to_downloadzone(pdf_path, rename_file=rename_file, chatbot=chatbot)
-    for html_path in generated_html_files:
-        # 重命名文件
-        rename_file = f'翻译-{os.path.basename(html_path)}'
-        promote_file_to_downloadzone(html_path, rename_file=rename_file, chatbot=chatbot)
-    chatbot.append(("给出输出文件清单", str(generated_conclusion_files + generated_html_files)))
-    yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
-
-
-class construct_html():
-    def __init__(self) -> None:
-        self.css = """
-.row {
-  display: flex;
-  flex-wrap: wrap;
-}
-
-.column {
-  flex: 1;
-  padding: 10px;
-}
-
-.table-header {
-  font-weight: bold;
-  border-bottom: 1px solid black;
-}
-
-.table-row {
-  border-bottom: 1px solid lightgray;
-}
-
-.table-cell {
-  padding: 5px;
-}
-        """
-        self.html_string = f'<!DOCTYPE html><head><meta charset="utf-8"><title>翻译结果</title><style>{self.css}</style></head>'
-
-
-    def add_row(self, a, b):
-        tmp = """
-<div class="row table-row">
-    <div class="column table-cell">REPLACE_A</div>
-    <div class="column table-cell">REPLACE_B</div>
-</div>
-        """
-        from toolbox import markdown_convertion
-        tmp = tmp.replace('REPLACE_A', markdown_convertion(a))
-        tmp = tmp.replace('REPLACE_B', markdown_convertion(b))
-        self.html_string += tmp
-
-
-    def save_file(self, file_name):
-        with open(os.path.join(get_log_folder(), file_name), 'w', encoding='utf8') as f:
-            f.write(self.html_string.encode('utf-8', 'ignore').decode())
-        return os.path.join(get_log_folder(), file_name)
diff --git a/spaces/Longtong/FoodVisionBig/model.py b/spaces/Longtong/FoodVisionBig/model.py
deleted file mode 100644
index 0c11ae380ca980c15422fe209ce20c1335f4dcc8..0000000000000000000000000000000000000000
--- a/spaces/Longtong/FoodVisionBig/model.py
+++ /dev/null
@@ -1,24 +0,0 @@
-from torchvision.models import EfficientNet_B2_Weights, efficientnet_b2
-import torch.nn as nn
-
-def create_effnetb2_model(num_classes):
-    # 1. Setup pretrained weigths and transform of the model
-    weights = EfficientNet_B2_Weights.DEFAULT
-    transform = weights.transforms()
-
-    # 2. Create the model
-    model = efficientnet_b2(weights=weights)
-
-    # 3. freeze parameters to non-trainable
-    for params in model.parameters():
-        params.requires_grad = False
-
-    # 4. Get number of hidden units for the linear classifier
-    in_features = list(model.classifier.children())[-1].in_features
-
-    # 5. create a new classifier
-    model.classifier = nn.Sequential(
-        nn.Dropout(p=0.3),
-        nn.Linear(in_features=in_features, out_features=num_classes))
-    
-    return model, transform
diff --git a/spaces/LucasCodeBreak/MusicGen/tests/common_utils/wav_utils.py b/spaces/LucasCodeBreak/MusicGen/tests/common_utils/wav_utils.py
deleted file mode 100644
index d3a563ee1749a58217ece55c9a08b8d93c0fc386..0000000000000000000000000000000000000000
--- a/spaces/LucasCodeBreak/MusicGen/tests/common_utils/wav_utils.py
+++ /dev/null
@@ -1,32 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the license found in the
-# LICENSE file in the root directory of this source tree.
-
-from pathlib import Path
-import typing as tp
-
-import torch
-import torchaudio
-
-
-def get_white_noise(chs: int = 1, num_frames: int = 1):
-    wav = torch.randn(chs, num_frames)
-    return wav
-
-
-def get_batch_white_noise(bs: int = 1, chs: int = 1, num_frames: int = 1):
-    wav = torch.randn(bs, chs, num_frames)
-    return wav
-
-
-def save_wav(path: str, wav: torch.Tensor, sample_rate: int):
-    fp = Path(path)
-    kwargs: tp.Dict[str, tp.Any] = {}
-    if fp.suffix == '.wav':
-        kwargs['encoding'] = 'PCM_S'
-        kwargs['bits_per_sample'] = 16
-    elif fp.suffix == '.mp3':
-        kwargs['compression'] = 320
-    torchaudio.save(str(fp), wav, sample_rate, **kwargs)
diff --git a/spaces/MEKHANE/Deforum/README.md b/spaces/MEKHANE/Deforum/README.md
deleted file mode 100644
index ea38eb92497f9e19f1b6dade81f58c29aac3366d..0000000000000000000000000000000000000000
--- a/spaces/MEKHANE/Deforum/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Deforum
-emoji: 🐢
-colorFrom: green
-colorTo: gray
-sdk: gradio
-sdk_version: 3.10.1
-app_file: app.py
-pinned: false
-license: creativeml-openrail-m
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/ML701G7/taim-gan/src/models/modules/downsample.py b/spaces/ML701G7/taim-gan/src/models/modules/downsample.py
deleted file mode 100644
index b34b1be63bbbb695be63c7be744bc7ca74e2b04e..0000000000000000000000000000000000000000
--- a/spaces/ML701G7/taim-gan/src/models/modules/downsample.py
+++ /dev/null
@@ -1,14 +0,0 @@
-"""downsample module."""
-
-from torch import nn
-
-
-def down_sample(in_planes: int, out_planes: int) -> nn.Module:
-    """UpSample module."""
-    return nn.Sequential(
-        nn.Conv2d(
-            in_planes, out_planes, kernel_size=4, stride=2, padding=1, bias=False
-        ),
-        nn.BatchNorm2d(out_planes),
-        nn.LeakyReLU(0.2, inplace=True),
-    )
diff --git a/spaces/MSLAB/PaperGPT/README.md b/spaces/MSLAB/PaperGPT/README.md
deleted file mode 100644
index a0ec157b3087afd5ba32a91726fcb83348938248..0000000000000000000000000000000000000000
--- a/spaces/MSLAB/PaperGPT/README.md
+++ /dev/null
@@ -1,31 +0,0 @@
----
-title: PaperGPT
-app_file: src/app.py
-sdk: gradio
-sdk_version: 3.35.2
----
-# PaperGPT
-Paper editor tool
-
-
-``` python 3.8
-python -m pip install -r requirements.txt
-cd src
-python app.py
-```
-
-
-### deploy to huggingface space
-
-```
-python -m pip install huggingface_hub
-huggingface-cli login
-```
-
-```
-gradio deploy
-```
-
-```
-setup space repository secret: OPENAI_API_KEY
-```
diff --git a/spaces/MWilinski/bot/bot/logger.py b/spaces/MWilinski/bot/bot/logger.py
deleted file mode 100644
index c2b8ca6822b11e3f19f4063c58ebe07354fdc8a2..0000000000000000000000000000000000000000
--- a/spaces/MWilinski/bot/bot/logger.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import logging
-
-
-logger = logging.getLogger(__name__)
-
-def setup_logger() -> None:
-    """
-    Set up the logger.
-    """
-    logger.setLevel(logging.DEBUG)
-    formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
-    handler = logging.StreamHandler()
-    handler.setFormatter(formatter)
-    logger.addHandler(handler)
diff --git a/spaces/Malifex/CPU-Anything-V3.0-WebUI/app.py b/spaces/Malifex/CPU-Anything-V3.0-WebUI/app.py
deleted file mode 100644
index 2a0efc57384085aa4c3468868e4afdf2e82cb045..0000000000000000000000000000000000000000
--- a/spaces/Malifex/CPU-Anything-V3.0-WebUI/app.py
+++ /dev/null
@@ -1,59 +0,0 @@
-import os
-from subprocess import getoutput
-
-gpu_info = getoutput('nvidia-smi')
-if("A10G" in gpu_info):
-    os.system(f"pip install -q https://github.com/camenduru/stable-diffusion-webui-colab/releases/download/0.0.15/xformers-0.0.15.dev0+4c06c79.d20221205-cp38-cp38-linux_x86_64.whl")
-elif("T4" in gpu_info):
-    os.system(f"pip install -q https://github.com/camenduru/stable-diffusion-webui-colab/releases/download/0.0.15/xformers-0.0.15.dev0+1515f77.d20221130-cp38-cp38-linux_x86_64.whl")
-
-os.system(f"git clone https://github.com/camenduru/stable-diffusion-webui /home/user/app/stable-diffusion-webui")
-os.chdir("/home/user/app/stable-diffusion-webui")
-
-os.system(f"wget -q https://github.com/camenduru/webui/raw/main/env_patch.py -O /home/user/app/env_patch.py")
-os.system(f"sed -i -e '/import image_from_url_text/r /home/user/app/env_patch.py' /home/user/app/stable-diffusion-webui/modules/ui.py")
-os.system(f"sed -i -e '/(modelmerger_interface, \"Checkpoint Merger\", \"modelmerger\"),/d' /home/user/app/stable-diffusion-webui/modules/ui.py")
-os.system(f"sed -i -e '/(train_interface, \"Train\", \"ti\"),/d' /home/user/app/stable-diffusion-webui/modules/ui.py")
-os.system(f"sed -i -e '/extensions_interface, \"Extensions\", \"extensions\"/d' /home/user/app/stable-diffusion-webui/modules/ui.py")
-os.system(f"sed -i -e '/settings_interface, \"Settings\", \"settings\"/d' /home/user/app/stable-diffusion-webui/modules/ui.py")
-os.system(f'''sed -i -e "s/document.getElementsByTagName('gradio-app')\[0\].shadowRoot/!!document.getElementsByTagName('gradio-app')[0].shadowRoot ? document.getElementsByTagName('gradio-app')[0].shadowRoot : document/g" /home/user/app/stable-diffusion-webui/script.js''')
-os.system(f"sed -i -e 's/                show_progress=False,/                show_progress=True,/g' /home/user/app/stable-diffusion-webui/modules/ui.py")
-os.system(f"sed -i -e 's/shared.demo.launch/shared.demo.queue().launch/g' /home/user/app/stable-diffusion-webui/webui.py")
-os.system(f"sed -i -e 's/inputs=\[component\],/&\\n                queue=False,/g' /home/user/app/stable-diffusion-webui/modules/ui.py")
-os.system(f"sed -i -e 's/outputs=\[token_counter\]/outputs=[token_counter], queue=False/g' /home/user/app/stable-diffusion-webui/modules/ui.py")
-
-# ----------------------------Please duplicate this space and delete this block if you don't want to see the extra header----------------------------
-#os.system(f"wget -q https://github.com/camenduru/webui/raw/main/header_patch.py -O /home/user/app/header_patch.py")
-#os.system(f"sed -i -e '/demo:/r /home/user/app/header_patch.py' /home/user/app/stable-diffusion-webui/modules/ui.py")
-# ---------------------------------------------------------------------------------------------------------------------------------------------------
-
-os.system(f"wget -q https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/Anything-V3.0-pruned.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/Anything-V3.0-pruned.ckpt")
-os.system(f"wget -q https://huggingface.co/Linaqruf/anything-v3.0/resolve/main/Anything-V3.0.vae.pt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/Anything-V3.0-pruned.vae.pt")
-
-if "IS_SHARED_UI" in os.environ:
-    os.system(f"wget -q https://github.com/camenduru/webui/raw/main/shared-config.json -O /home/user/app/shared-config.json")
-    os.system(f"wget -q https://github.com/camenduru/webui/raw/main/shared-ui-config.json -O /home/user/app/shared-ui-config.json")
-    os.system(f"python launch.py --force-enable-xformers --disable-console-progressbars --enable-console-prompts --ui-config-file /home/user/app/shared-ui-config.json --ui-settings-file /home/user/app/shared-config.json --cors-allow-origins huggingface.co,hf.space --no-progressbar-hiding")
-else:
-    # Please duplicate this space and delete # character in front of the custom script you want to use or add here more custom scripts with same structure os.system(f"wget -q https://CUSTOM_SCRIPT_URL -O /home/user/app/stable-diffusion-webui/scripts/CUSTOM_SCRIPT_NAME.py")
-    #os.system(f"wget -q https://gist.github.com/camenduru/9ec5f8141db9902e375967e93250860f/raw/d0bcf01786f20107c329c03f8968584ee67be12a/run_n_times.py -O /home/user/app/stable-diffusion-webui/scripts/run_n_times.py")
-    
-    # Please duplicate this space and delete # character in front of the extension you want to use or add here more extensions with same structure os.system(f"git clone https://EXTENSION_GIT_URL /home/user/app/stable-diffusion-webui/extensions/EXTENSION_NAME")
-    #os.system(f"git clone https://github.com/camenduru/stable-diffusion-webui-artists-to-study /home/user/app/stable-diffusion-webui/extensions/stable-diffusion-webui-artists-to-study")
-    #os.system(f"git clone https://github.com/yfszzx/stable-diffusion-webui-images-browser /home/user/app/stable-diffusion-webui/extensions/stable-diffusion-webui-images-browser")
-    #os.system(f"git clone https://github.com/deforum-art/deforum-for-automatic1111-webui /home/user/app/stable-diffusion-webui/extensions/deforum-for-automatic1111-webui")
-    
-    # Please duplicate this space and delete # character in front of the model you want to use or add here more ckpts with same structure os.system(f"wget -q https://CKPT_URL -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/CKPT_NAME.ckpt")
-    #os.system(f"wget -q https://huggingface.co/nitrosocke/Arcane-Diffusion/resolve/main/arcane-diffusion-v3.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/arcane-diffusion-v3.ckpt")
-    #os.system(f"wget -q https://huggingface.co/DGSpitzer/Cyberpunk-Anime-Diffusion/resolve/main/Cyberpunk-Anime-Diffusion.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/Cyberpunk-Anime-Diffusion.ckpt")
-    #os.system(f"wget -q https://huggingface.co/prompthero/midjourney-v4-diffusion/resolve/main/mdjrny-v4.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/mdjrny-v4.ckpt")
-    #os.system(f"wget -q https://huggingface.co/nitrosocke/mo-di-diffusion/resolve/main/moDi-v1-pruned.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/moDi-v1-pruned.ckpt")
-    #os.system(f"wget -q https://huggingface.co/Fictiverse/Stable_Diffusion_PaperCut_Model/resolve/main/PaperCut_v1.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/PaperCut_v1.ckpt")
-    #os.system(f"wget -q https://huggingface.co/lilpotat/sa/resolve/main/samdoesarts_style.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/samdoesarts_style.ckpt")
-    #os.system(f"wget -q https://huggingface.co/hakurei/waifu-diffusion-v1-3/resolve/main/wd-v1-3-float32.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/wd-v1-3-float32.ckpt")
-    #os.system(f"wget -q https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/sd-v1-4.ckpt")
-    #os.system(f"wget -q https://huggingface.co/runwayml/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt")
-    #os.system(f"wget -q https://huggingface.co/runwayml/stable-diffusion-inpainting/resolve/main/sd-v1-5-inpainting.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/sd-v1-5-inpainting.ckpt")
-    #os.system(f"wget -q https://huggingface.co/stabilityai/stable-diffusion-2/resolve/main/768-v-ema.ckpt -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/768-v-ema.ckpt")
-    #os.system(f"wget -q https://raw.githubusercontent.com/Stability-AI/stablediffusion/main/configs/stable-diffusion/v2-inference-v.yaml -O /home/user/app/stable-diffusion-webui/models/Stable-diffusion/768-v-ema.yaml")
-    os.system(f"python launch.py --precision full --no-half --use-cpu SD GFPGAN BSRGAN ESRGAN SCUNet CodeFormer --all --ui-config-file /home/user/app/ui-config.json --ui-settings-file /home/user/app/config.json --cors-allow-origins huggingface.co,hf.space --no-progressbar-hiding --skip-torch-cuda-test")
diff --git a/spaces/MashiroSA/sovits-emu-voice-transform/CppDataProcess/F0Preprocess.hpp b/spaces/MashiroSA/sovits-emu-voice-transform/CppDataProcess/F0Preprocess.hpp
deleted file mode 100644
index 7816bb5a7d7c4d805f71fc8dd3b128e5eb2deb47..0000000000000000000000000000000000000000
--- a/spaces/MashiroSA/sovits-emu-voice-transform/CppDataProcess/F0Preprocess.hpp
+++ /dev/null
@@ -1,36 +0,0 @@
-#include "world/dio.h"
-#include "world/stonemask.h"
-#include "world/matlabfunctions.h"
-#include <string>
-#include <vector>
-
-//Cpp F0 Preprocess
-
-class F0PreProcess
-{
-public:
-	int fs;
-	short hop;
-	const int f0_bin = 256;
-	const double f0_max = 1100.0;
-	const double f0_min = 50.0;
-	const double f0_mel_min = 1127.0 * log(1.0 + f0_min / 700.0);
-	const double f0_mel_max = 1127.0 * log(1.0 + f0_max / 700.0);
-	F0PreProcess(int sr = 16000, short h = 160) :fs(sr), hop(h) {}
-	~F0PreProcess()
-	{
-		delete[] rf0;
-		rf0 = nullptr;
-	}
-	void compute_f0(const double* audio, int64_t len);
-	void InterPf0(int64_t len);
-	long long* f0Log();
-	int64_t getLen()const { return f0Len; }
-	std::vector<long long> GetF0AndOtherInput(const double* audio, int64_t audioLen, int64_t hubLen, int64_t tran);
-	std::vector<float> GetF0AndOtherInputF0(const double* audio, int64_t audioLen, int64_t tran);
-private:
-	double* rf0 = nullptr;
-	int64_t f0Len = 0;
-};
-
-std::vector<long long> getAligments(size_t specLen, size_t hubertLen);
diff --git a/spaces/MedicalAILabo/Xp-age/lib/dataloader.py b/spaces/MedicalAILabo/Xp-age/lib/dataloader.py
deleted file mode 100644
index 920efcaa96b192f76133bd030b670a81dd6e5a5e..0000000000000000000000000000000000000000
--- a/spaces/MedicalAILabo/Xp-age/lib/dataloader.py
+++ /dev/null
@@ -1,400 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-import numpy as np
-import torch
-import torchvision.transforms as transforms
-from torch.utils.data.dataset import Dataset
-from torch.utils.data.dataloader import DataLoader
-from torch.utils.data.sampler import WeightedRandomSampler
-from PIL import Image
-from sklearn.preprocessing import MinMaxScaler
-import pickle
-from .logger import BaseLogger
-from typing import List, Dict, Union
-import pandas as pd
-
-
-logger = BaseLogger.get_logger(__name__)
-
-
-class PrivateAugment(torch.nn.Module):
-    """
-    Augmentation defined privately.
-    Variety of augmentation can be written in this class if necessary.
-    """
-    # For X-ray photo.
-    xray_augs_list = [
-                    transforms.RandomAffine(degrees=(-3, 3), translate=(0.02, 0.02)),
-                    transforms.RandomAdjustSharpness(sharpness_factor=2),
-                    transforms.RandomAutocontrast()
-                    ]
-
-
-class InputDataMixin:
-    """
-    Class to normalizes input data.
-    """
-    def _make_scaler(self) -> MinMaxScaler:
-        """
-        Make scaler to normalize input data by min-max normalization with train data.
-
-        Returns:
-            MinMaxScaler: scaler
-        """
-        scaler = MinMaxScaler()
-        _df_train = self.df_source[self.df_source['split'] == 'train']  # should be normalized with min and max of training data
-        _ = scaler.fit(_df_train[self.input_list])                      # fit only
-        return scaler
-
-    def save_scaler(self, save_path :str) -> None:
-        """
-        Save scaler
-
-        Args:
-            save_path (str): path for saving scaler.
-        """
-        #save_scaler_path = Path(save_datetime_dir, 'scaler.pkl')
-        with open(save_path, 'wb') as f:
-            pickle.dump(self.scaler, f)
-
-    def load_scaler(self, scaler_path :str) -> None:
-        """
-        Load scaler.
-
-        Args:
-            scaler_path (str): path to scaler
-        """
-        with open(scaler_path, 'rb') as f:
-            scaler = pickle.load(f)
-        return scaler
-
-    def _normalize_inputs(self, df_inputs: pd.DataFrame) -> torch.FloatTensor:
-        """
-        Normalize inputs.
-
-        Args:
-            df_inputs (pd.DataFrame): DataFrame of inputs
-
-        Returns:
-            torch.FloatTensor: normalized inputs
-
-        Note:
-        After iloc[[idx], index_input_list], pd.DataFrame is obtained.
-        DataFrame fits the input type of self.scaler.transform.
-        However, after normalizing, the shape of inputs_value is (1, N), where N is the number of input values.
-        Since the shape (1, N) is not acceptable when forwarding, convert (1, N) -> (N,) is needed.
-        """
-        inputs_value = self.scaler.transform(df_inputs).reshape(-1)  #    np.float64
-        inputs_value = np.array(inputs_value, dtype=np.float32)      # -> np.float32
-        inputs_value = torch.from_numpy(inputs_value).clone()        # -> torch.float32
-        return inputs_value
-
-    def _load_input_value_if_mlp(self, idx: int) -> Union[torch.FloatTensor, str]:
-        """
-        Load input values after converting them into tensor if MLP is used.
-
-        Args:
-            idx (int): index
-
-        Returns:
-            Union[torch.Tensor[float], str]: tensor of input values, or empty string
-        """
-        inputs_value = ''
-
-        if self.params.mlp is None:
-            return inputs_value
-
-        index_input_list = [self.col_index_dict[input] for input in self.input_list]
-        _df_inputs = self.df_split.iloc[[idx], index_input_list]
-        inputs_value = self._normalize_inputs( _df_inputs)
-        return inputs_value
-
-
-class ImageMixin:
-    """
-    Class to normalize and transform image.
-    """
-    def _make_augmentations(self) -> List:
-        """
-        Define which augmentation is applied.
-
-        When training, augmentation is needed for train data only.
-        When test, no need of augmentation.
-        """
-        _augmentation = []
-        if (self.params.isTrain) and (self.split == 'train'):
-            if self.params.augmentation == 'xrayaug':
-                _augmentation = PrivateAugment.xray_augs_list
-            elif self.params.augmentation == 'trivialaugwide':
-                _augmentation.append(transforms.TrivialAugmentWide())
-            elif self.params.augmentation == 'randaug':
-                _augmentation.append(transforms.RandAugment())
-            else:
-                # ie. self.params.augmentation == 'no':
-                pass
-
-        _augmentation = transforms.Compose(_augmentation)
-        return _augmentation
-
-    def _make_transforms(self) -> List:
-        """
-        Make list of transforms.
-
-        Returns:
-            list of transforms: image normalization
-        """
-        _transforms = []
-        _transforms.append(transforms.ToTensor())
-
-        if self.params.normalize_image == 'yes':
-            # transforms.Normalize accepts only Tensor.
-            if self.params.in_channel == 1:
-                _transforms.append(transforms.Normalize(mean=(0.5, ), std=(0.5, )))
-            else:
-                # ie. self.params.in_channel == 3
-                _transforms.append(transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]))
-
-        _transforms = transforms.Compose(_transforms)
-        return _transforms
-
-    def _open_image_in_channel(self, imgpath: str, in_channel: int) -> Image:
-        """
-        Open image in channel.
-
-        Args:
-            imgpath (str): path to image
-            in_channel (int): channel, or 1 or 3
-
-        Returns:
-            Image: PIL image
-        """
-        if in_channel == 1:
-            image = Image.open(imgpath).convert('L')    # eg. np.array(image).shape = (64, 64)
-            return image
-        else:
-            # ie. self.params.in_channel == 3
-            image = Image.open(imgpath).convert('RGB')  # eg. np.array(image).shape = (64, 64, 3)
-            return image
-
-    def _load_image_if_cnn(self, idx: int) -> Union[torch.Tensor, str]:
-        """
-        Load image and convert it to tensor if any of CNN or ViT is used.
-
-        Args:
-            idx (int): index
-
-        Returns:
-            Union[torch.Tensor[float], str]: tensor converted from image, or empty string
-        """
-        image = ''
-
-        if self.params.net is None:
-            return image
-
-        imgpath = self.df_split.iat[idx, self.col_index_dict['imgpath']]
-        image = self._open_image_in_channel(imgpath, self.params.in_channel)
-        image = self.augmentation(image)
-        image = self.transform(image)
-        return image
-
-
-class DeepSurvMixin:
-    """
-    Class to handle required data for deepsurv.
-    """
-    def _load_periods_if_deepsurv(self, idx: int) -> Union[torch.FloatTensor, str]:
-        """
-        Return period if deepsurv.
-
-        Args:
-            idx (int): index
-
-        Returns:
-            Union[torch.FloatTensor, str]: period, or empty string
-        """
-        periods = ''
-
-        if self.params.task != 'deepsurv':
-            return periods
-
-        assert (self.params.task == 'deepsurv') and (len(self.label_list) == 1), 'Deepsurv cannot work in multi-label.'
-        periods = self.df_split.iat[idx, self.col_index_dict[self.period_name]]  #    int64
-        periods = np.array(periods, dtype=np.float32)                            # -> np.float32
-        periods = torch.from_numpy(periods).clone()                              # -> torch.float32
-        return periods
-
-
-class DataSetWidget(InputDataMixin, ImageMixin, DeepSurvMixin):
-    """
-    Class for a widget to inherit multiple classes simultaneously.
-    """
-    pass
-
-
-class LoadDataSet(Dataset, DataSetWidget):
-    """
-    Dataset for split.
-    """
-    def __init__(
-                self,
-                params,
-                split: str
-                ) -> None:
-        """
-        Args:
-            params (ParamSet): parameter for model
-            split (str): split
-        """
-        self.params = params
-        self.df_source = self.params.df_source
-        self.split = split
-
-        self.input_list = self.params.input_list
-        self.label_list = self.params.label_list
-
-        if self.params.task == 'deepsurv':
-            self.period_name = self.params.period_name
-
-        self.df_split = self.df_source[self.df_source['split'] == self.split]
-        self.col_index_dict = {col_name: self.df_split.columns.get_loc(col_name) for col_name in self.df_split.columns}
-
-        # For input data
-        if self.params.mlp is not None:
-            assert (self.input_list != []), f"input list is empty."
-            if params.isTrain:
-                self.scaler = self._make_scaler()
-            else:
-                # load scaler used at training.
-                self.scaler = self.load_scaler(self.params.scaler_path)
-
-        # For image
-        if self.params.net is not None:
-            self.augmentation = self._make_augmentations()
-            self.transform = self._make_transforms()
-
-    def __len__(self) -> int:
-        """
-        Return length of DataFrame.
-
-        Returns:
-            int: length of DataFrame
-        """
-        return len(self.df_split)
-
-    def _load_label(self, idx: int) -> Dict[str, Union[int, float]]:
-        """
-        Return labels.
-        If no column of label when csv of external dataset is used,
-        empty dictionary is returned.
-
-        Args:
-            idx (int): index
-
-        Returns:
-            Dict[str, Union[int, float]]: dictionary of label name and its value
-        """
-        # For checking if columns of labels exist when used csv for external dataset.
-        label_list_in_split = list(self.df_split.columns[self.df_split.columns.str.startswith('label')])
-        label_dict = dict()
-        if label_list_in_split != []:
-            for label_name in self.label_list:
-                label_dict[label_name] = self.df_split.iat[idx, self.col_index_dict[label_name]]
-        else:
-            # no label
-            pass
-        return label_dict
-
-    def __getitem__(self, idx: int) -> Dict:
-        """
-        Return data row specified by index.
-
-        Args:
-            idx (int): index
-
-        Returns:
-            Dict: dictionary of data to be passed model
-        """
-        uniqID = self.df_split.iat[idx, self.col_index_dict['uniqID']]
-        group = self.df_split.iat[idx, self.col_index_dict['group']]
-        imgpath = self.df_split.iat[idx, self.col_index_dict['imgpath']]
-        split = self.df_split.iat[idx, self.col_index_dict['split']]
-        inputs_value = self._load_input_value_if_mlp(idx)
-        image = self._load_image_if_cnn(idx)
-        label_dict = self._load_label(idx)
-        periods = self._load_periods_if_deepsurv(idx)
-
-        _data = {
-                'uniqID': uniqID,
-                'group': group,
-                'imgpath': imgpath,
-                'split': split,
-                'inputs': inputs_value,
-                'image': image,
-                'labels': label_dict,
-                'periods': periods
-                }
-        return _data
-
-
-def _make_sampler(split_data: LoadDataSet) -> WeightedRandomSampler:
-    """
-    Make sampler.
-
-    Args:
-        split_data (LoadDataSet): dataset
-
-    Returns:
-        WeightedRandomSampler: sampler
-    """
-    _target = []
-    for _, data in enumerate(split_data):
-        _target.append(list(data['labels'].values())[0])
-
-    class_sample_count = np.array([len(np.where(_target == t)[0]) for t in np.unique(_target)])
-    weight = 1. / class_sample_count
-    samples_weight = np.array([weight[t] for t in _target])
-    sampler = WeightedRandomSampler(samples_weight, len(samples_weight))
-    return sampler
-
-
-def create_dataloader(
-                    params,
-                    split: str = None
-                    ) -> DataLoader:
-    """
-    Create data loader ofr split.
-
-    Args:
-        params (ParamSet): parameter for dataloader
-        split (str): split. Defaults to None.
-
-    Returns:
-        DataLoader: data loader
-    """
-    split_data = LoadDataSet(params, split)
-
-    if params.isTrain:
-        batch_size = params.batch_size
-        shuffle = True
-    else:
-        batch_size = params.test_batch_size
-        shuffle = False
-
-    if params.sampler == 'yes':
-        assert ((params.task == 'classification') or (params.task == 'deepsurv')), 'Cannot make sampler in regression.'
-        assert (len(params.label_list) == 1), 'Cannot make sampler for multi-label.'
-        shuffle = False
-        sampler = _make_sampler(split_data)
-    else:
-        # When params.sampler == 'no'
-        sampler = None
-
-    split_loader = DataLoader(
-                            dataset=split_data,
-                            batch_size=batch_size,
-                            shuffle=shuffle,
-                            num_workers=0,
-                            sampler=sampler
-                            )
-    return split_loader
diff --git a/spaces/Mellow-ai/PhotoAI_Mellow/annotator/uniformer/mmcv/engine/__init__.py b/spaces/Mellow-ai/PhotoAI_Mellow/annotator/uniformer/mmcv/engine/__init__.py
deleted file mode 100644
index 3193b7f664e19ce2458d81c836597fa22e4bb082..0000000000000000000000000000000000000000
--- a/spaces/Mellow-ai/PhotoAI_Mellow/annotator/uniformer/mmcv/engine/__init__.py
+++ /dev/null
@@ -1,8 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-from .test import (collect_results_cpu, collect_results_gpu, multi_gpu_test,
-                   single_gpu_test)
-
-__all__ = [
-    'collect_results_cpu', 'collect_results_gpu', 'multi_gpu_test',
-    'single_gpu_test'
-]
diff --git a/spaces/MetaWabbit/Auto-GPT/run_continuous.bat b/spaces/MetaWabbit/Auto-GPT/run_continuous.bat
deleted file mode 100644
index 812aa01c1c5506c452665610c0e9e83a17c426f2..0000000000000000000000000000000000000000
--- a/spaces/MetaWabbit/Auto-GPT/run_continuous.bat
+++ /dev/null
@@ -1,3 +0,0 @@
-@echo off
-set argument=--continuous
-call run.bat %argument%
diff --git a/spaces/MichaelT8093/Mandarin-TTS/bert/__init__.py b/spaces/MichaelT8093/Mandarin-TTS/bert/__init__.py
deleted file mode 100644
index d7dcbe2c051f01fff99c3bf38113db9fceacaf6b..0000000000000000000000000000000000000000
--- a/spaces/MichaelT8093/Mandarin-TTS/bert/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-from .ProsodyModel import TTSProsody
\ No newline at end of file
diff --git a/spaces/MirageML/sjc/sd1/ldm/data/personalized.py b/spaces/MirageML/sjc/sd1/ldm/data/personalized.py
deleted file mode 100644
index c8a57d09fa354cbd06190829114bdce2afce2aa6..0000000000000000000000000000000000000000
--- a/spaces/MirageML/sjc/sd1/ldm/data/personalized.py
+++ /dev/null
@@ -1,160 +0,0 @@
-import os
-import numpy as np
-import PIL
-from PIL import Image
-from torch.utils.data import Dataset
-from torchvision import transforms
-
-import random
-
-imagenet_templates_smallest = [
-    'a photo of a {}',
-]
-
-imagenet_templates_small = [
-    'a photo of a {}',
-    'a rendering of a {}',
-    'a cropped photo of the {}',
-    'the photo of a {}',
-    'a photo of a clean {}',
-    'a photo of a dirty {}',
-    'a dark photo of the {}',
-    'a photo of my {}',
-    'a photo of the cool {}',
-    'a close-up photo of a {}',
-    'a bright photo of the {}',
-    'a cropped photo of a {}',
-    'a photo of the {}',
-    'a good photo of the {}',
-    'a photo of one {}',
-    'a close-up photo of the {}',
-    'a rendition of the {}',
-    'a photo of the clean {}',
-    'a rendition of a {}',
-    'a photo of a nice {}',
-    'a good photo of a {}',
-    'a photo of the nice {}',
-    'a photo of the small {}',
-    'a photo of the weird {}',
-    'a photo of the large {}',
-    'a photo of a cool {}',
-    'a photo of a small {}',
-]
-
-imagenet_dual_templates_small = [
-    'a photo of a {} with {}',
-    'a rendering of a {} with {}',
-    'a cropped photo of the {} with {}',
-    'the photo of a {} with {}',
-    'a photo of a clean {} with {}',
-    'a photo of a dirty {} with {}',
-    'a dark photo of the {} with {}',
-    'a photo of my {} with {}',
-    'a photo of the cool {} with {}',
-    'a close-up photo of a {} with {}',
-    'a bright photo of the {} with {}',
-    'a cropped photo of a {} with {}',
-    'a photo of the {} with {}',
-    'a good photo of the {} with {}',
-    'a photo of one {} with {}',
-    'a close-up photo of the {} with {}',
-    'a rendition of the {} with {}',
-    'a photo of the clean {} with {}',
-    'a rendition of a {} with {}',
-    'a photo of a nice {} with {}',
-    'a good photo of a {} with {}',
-    'a photo of the nice {} with {}',
-    'a photo of the small {} with {}',
-    'a photo of the weird {} with {}',
-    'a photo of the large {} with {}',
-    'a photo of a cool {} with {}',
-    'a photo of a small {} with {}',
-]
-
-per_img_token_list = [
-    'א', 'ב', 'ג', 'ד', 'ה', 'ו', 'ז', 'ח', 'ט', 'י', 'כ', 'ל', 'מ', 'נ', 'ס', 'ע', 'פ', 'צ', 'ק', 'ר', 'ש', 'ת',
-]
-
-class PersonalizedBase(Dataset):
-    def __init__(self,
-                 data_root,
-                 size=None,
-                 repeats=100,
-                 interpolation="bicubic",
-                 flip_p=0.5,
-                 set="train",
-                 placeholder_token="*",
-                 per_image_tokens=False,
-                 center_crop=False,
-                 mixing_prob=0.25,
-                 coarse_class_text=None,
-                 ):
-
-        self.data_root = data_root
-
-        self.image_paths = [os.path.join(self.data_root, file_path) for file_path in os.listdir(self.data_root)]
-
-        # self._length = len(self.image_paths)
-        self.num_images = len(self.image_paths)
-        self._length = self.num_images 
-
-        self.placeholder_token = placeholder_token
-
-        self.per_image_tokens = per_image_tokens
-        self.center_crop = center_crop
-        self.mixing_prob = mixing_prob
-
-        self.coarse_class_text = coarse_class_text
-
-        if per_image_tokens:
-            assert self.num_images < len(per_img_token_list), f"Can't use per-image tokens when the training set contains more than {len(per_img_token_list)} tokens. To enable larger sets, add more tokens to 'per_img_token_list'."
-
-        if set == "train":
-            self._length = self.num_images * repeats
-
-        self.size = size
-        self.interpolation = {"linear": PIL.Image.LINEAR,
-                              "bilinear": PIL.Image.BILINEAR,
-                              "bicubic": PIL.Image.BICUBIC,
-                              "lanczos": PIL.Image.LANCZOS,
-                              }[interpolation]
-        self.flip = transforms.RandomHorizontalFlip(p=flip_p)
-
-    def __len__(self):
-        return self._length
-
-    def __getitem__(self, i):
-        example = {}
-        image = Image.open(self.image_paths[i % self.num_images])
-
-        if not image.mode == "RGB":
-            image = image.convert("RGB")
-
-        placeholder_string = self.placeholder_token
-        if self.coarse_class_text:
-            placeholder_string = f"{self.coarse_class_text} {placeholder_string}"
-
-        if self.per_image_tokens and np.random.uniform() < self.mixing_prob:
-            text = random.choice(imagenet_dual_templates_small).format(placeholder_string, per_img_token_list[i % self.num_images])
-        else:
-            text = random.choice(imagenet_templates_small).format(placeholder_string)
-            
-        example["caption"] = text
-
-        # default to score-sde preprocessing
-        img = np.array(image).astype(np.uint8)
-        
-        if self.center_crop:
-            crop = min(img.shape[0], img.shape[1])
-            h, w, = img.shape[0], img.shape[1]
-            img = img[(h - crop) // 2:(h + crop) // 2,
-                (w - crop) // 2:(w + crop) // 2]
-
-        image = Image.fromarray(img)
-        if self.size is not None:
-            image = image.resize((self.size, self.size), resample=self.interpolation)
-
-        image = self.flip(image)
-        image = np.array(image).astype(np.uint8)
-        example["image"] = (image / 127.5 - 1.0).astype(np.float32)
-        return example
\ No newline at end of file
diff --git a/spaces/Mountchicken/MAERec-Gradio/configs/textrecog/abinet/_base_abinet.py b/spaces/Mountchicken/MAERec-Gradio/configs/textrecog/abinet/_base_abinet.py
deleted file mode 100644
index f2c3d8a37d1d57bb0c4c2666998fe239304c65d1..0000000000000000000000000000000000000000
--- a/spaces/Mountchicken/MAERec-Gradio/configs/textrecog/abinet/_base_abinet.py
+++ /dev/null
@@ -1,16 +0,0 @@
-_base_ = '_base_abinet-vision.py'
-
-model = dict(
-    decoder=dict(
-        d_model=512,
-        num_iters=3,
-        language_decoder=dict(
-            type='ABILanguageDecoder',
-            d_model=512,
-            n_head=8,
-            d_inner=2048,
-            n_layers=4,
-            dropout=0.1,
-            detach_tokens=True,
-            use_self_attn=False,
-        )), )
diff --git a/spaces/NCTCMumbai/NCTC/models/official/modeling/hyperparams/oneof_test.py b/spaces/NCTCMumbai/NCTC/models/official/modeling/hyperparams/oneof_test.py
deleted file mode 100644
index abd6564c17efbad9987eea6a0e91261afc34f3f3..0000000000000000000000000000000000000000
--- a/spaces/NCTCMumbai/NCTC/models/official/modeling/hyperparams/oneof_test.py
+++ /dev/null
@@ -1,67 +0,0 @@
-# Lint as: python3
-# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ==============================================================================
-
-import dataclasses
-import tensorflow as tf
-from official.modeling.hyperparams import base_config
-from official.modeling.hyperparams import oneof
-
-
-@dataclasses.dataclass
-class ResNet(base_config.Config):
-  model_depth: int = 50
-
-
-@dataclasses.dataclass
-class Backbone(oneof.OneOfConfig):
-  type: str = 'resnet'
-  resnet: ResNet = ResNet()
-  not_resnet: int = 2
-
-
-@dataclasses.dataclass
-class OutputLayer(oneof.OneOfConfig):
-  type: str = 'single'
-  single: int = 1
-  multi_head: int = 2
-
-
-@dataclasses.dataclass
-class Network(base_config.Config):
-  backbone: Backbone = Backbone()
-  output_layer: OutputLayer = OutputLayer()
-
-
-class OneOfTest(tf.test.TestCase):
-
-  def test_to_dict(self):
-    network_params = {'backbone': {'type': 'resnet',
-                                   'resnet': {'model_depth': 50}
-                                   },
-                      'output_layer': {'type': 'single',
-                                       'single': 1000}
-                      }
-    network_config = Network(network_params)
-    self.assertEqual(network_config.as_dict(), network_params)
-
-  def test_get_oneof(self):
-    backbone = Backbone()
-    self.assertIsInstance(backbone.get(), ResNet)
-    self.assertEqual(backbone.get().as_dict(), {'model_depth': 50})
-
-
-if __name__ == '__main__':
-  tf.test.main()
diff --git a/spaces/NCTCMumbai/NCTC/models/official/nlp/optimization.py b/spaces/NCTCMumbai/NCTC/models/official/nlp/optimization.py
deleted file mode 100644
index 51289a535b239d5831dd76bae57d6306f604e746..0000000000000000000000000000000000000000
--- a/spaces/NCTCMumbai/NCTC/models/official/nlp/optimization.py
+++ /dev/null
@@ -1,228 +0,0 @@
-# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ==============================================================================
-"""Functions and classes related to optimization (weight updates)."""
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import re
-
-from absl import logging
-import gin
-import tensorflow as tf
-import tensorflow_addons.optimizers as tfa_optimizers
-
-
-class WarmUp(tf.keras.optimizers.schedules.LearningRateSchedule):
-  """Applies a warmup schedule on a given learning rate decay schedule."""
-
-  def __init__(self,
-               initial_learning_rate,
-               decay_schedule_fn,
-               warmup_steps,
-               power=1.0,
-               name=None):
-    super(WarmUp, self).__init__()
-    self.initial_learning_rate = initial_learning_rate
-    self.warmup_steps = warmup_steps
-    self.power = power
-    self.decay_schedule_fn = decay_schedule_fn
-    self.name = name
-
-  def __call__(self, step):
-    with tf.name_scope(self.name or 'WarmUp') as name:
-      # Implements polynomial warmup. i.e., if global_step < warmup_steps, the
-      # learning rate will be `global_step/num_warmup_steps * init_lr`.
-      global_step_float = tf.cast(step, tf.float32)
-      warmup_steps_float = tf.cast(self.warmup_steps, tf.float32)
-      warmup_percent_done = global_step_float / warmup_steps_float
-      warmup_learning_rate = (
-          self.initial_learning_rate *
-          tf.math.pow(warmup_percent_done, self.power))
-      return tf.cond(
-          global_step_float < warmup_steps_float,
-          lambda: warmup_learning_rate,
-          lambda: self.decay_schedule_fn(step),
-          name=name)
-
-  def get_config(self):
-    return {
-        'initial_learning_rate': self.initial_learning_rate,
-        'decay_schedule_fn': self.decay_schedule_fn,
-        'warmup_steps': self.warmup_steps,
-        'power': self.power,
-        'name': self.name
-    }
-
-
-@gin.configurable
-def create_optimizer(init_lr,
-                     num_train_steps,
-                     num_warmup_steps,
-                     end_lr=0.0,
-                     optimizer_type='adamw'):
-  """Creates an optimizer with learning rate schedule."""
-  # Implements linear decay of the learning rate.
-  lr_schedule = tf.keras.optimizers.schedules.PolynomialDecay(
-      initial_learning_rate=init_lr,
-      decay_steps=num_train_steps,
-      end_learning_rate=end_lr)
-  if num_warmup_steps:
-    lr_schedule = WarmUp(
-        initial_learning_rate=init_lr,
-        decay_schedule_fn=lr_schedule,
-        warmup_steps=num_warmup_steps)
-
-  if optimizer_type == 'adamw':
-    logging.info('using Adamw optimizer')
-    optimizer = AdamWeightDecay(
-        learning_rate=lr_schedule,
-        weight_decay_rate=0.01,
-        beta_1=0.9,
-        beta_2=0.999,
-        epsilon=1e-6,
-        exclude_from_weight_decay=['LayerNorm', 'layer_norm', 'bias'])
-  elif optimizer_type == 'lamb':
-    logging.info('using Lamb optimizer')
-    optimizer = tfa_optimizers.LAMB(
-        learning_rate=lr_schedule,
-        weight_decay_rate=0.01,
-        beta_1=0.9,
-        beta_2=0.999,
-        epsilon=1e-6,
-        exclude_from_weight_decay=['LayerNorm', 'layer_norm', 'bias'])
-  else:
-    raise ValueError('Unsupported optimizer type: ', optimizer_type)
-
-  return optimizer
-
-
-class AdamWeightDecay(tf.keras.optimizers.Adam):
-  """Adam enables L2 weight decay and clip_by_global_norm on gradients.
-
-  Just adding the square of the weights to the loss function is *not* the
-  correct way of using L2 regularization/weight decay with Adam, since that will
-  interact with the m and v parameters in strange ways.
-
-  Instead we want ot decay the weights in a manner that doesn't interact with
-  the m/v parameters. This is equivalent to adding the square of the weights to
-  the loss with plain (non-momentum) SGD.
-  """
-
-  def __init__(self,
-               learning_rate=0.001,
-               beta_1=0.9,
-               beta_2=0.999,
-               epsilon=1e-7,
-               amsgrad=False,
-               weight_decay_rate=0.0,
-               include_in_weight_decay=None,
-               exclude_from_weight_decay=None,
-               name='AdamWeightDecay',
-               **kwargs):
-    super(AdamWeightDecay, self).__init__(learning_rate, beta_1, beta_2,
-                                          epsilon, amsgrad, name, **kwargs)
-    self.weight_decay_rate = weight_decay_rate
-    self._include_in_weight_decay = include_in_weight_decay
-    self._exclude_from_weight_decay = exclude_from_weight_decay
-
-  @classmethod
-  def from_config(cls, config):
-    """Creates an optimizer from its config with WarmUp custom object."""
-    custom_objects = {'WarmUp': WarmUp}
-    return super(AdamWeightDecay, cls).from_config(
-        config, custom_objects=custom_objects)
-
-  def _prepare_local(self, var_device, var_dtype, apply_state):
-    super(AdamWeightDecay, self)._prepare_local(var_device, var_dtype,
-                                                apply_state)
-    apply_state[(var_device, var_dtype)]['weight_decay_rate'] = tf.constant(
-        self.weight_decay_rate, name='adam_weight_decay_rate')
-
-  def _decay_weights_op(self, var, learning_rate, apply_state):
-    do_decay = self._do_use_weight_decay(var.name)
-    if do_decay:
-      return var.assign_sub(
-          learning_rate * var *
-          apply_state[(var.device, var.dtype.base_dtype)]['weight_decay_rate'],
-          use_locking=self._use_locking)
-    return tf.no_op()
-
-  def apply_gradients(self,
-                      grads_and_vars,
-                      name=None,
-                      experimental_aggregate_gradients=True):
-    grads, tvars = list(zip(*grads_and_vars))
-    if experimental_aggregate_gradients:
-      # when experimental_aggregate_gradients = False, apply_gradients() no
-      # longer implicitly allreduce gradients, users manually allreduce gradient
-      # and passed the allreduced grads_and_vars. For now, the
-      # clip_by_global_norm will be moved to before the explicit allreduce to
-      # keep the math the same as TF 1 and pre TF 2.2 implementation.
-      (grads, _) = tf.clip_by_global_norm(grads, clip_norm=1.0)
-    return super(AdamWeightDecay, self).apply_gradients(
-        zip(grads, tvars),
-        name=name,
-        experimental_aggregate_gradients=experimental_aggregate_gradients)
-
-  def _get_lr(self, var_device, var_dtype, apply_state):
-    """Retrieves the learning rate with the given state."""
-    if apply_state is None:
-      return self._decayed_lr_t[var_dtype], {}
-
-    apply_state = apply_state or {}
-    coefficients = apply_state.get((var_device, var_dtype))
-    if coefficients is None:
-      coefficients = self._fallback_apply_state(var_device, var_dtype)
-      apply_state[(var_device, var_dtype)] = coefficients
-
-    return coefficients['lr_t'], dict(apply_state=apply_state)
-
-  def _resource_apply_dense(self, grad, var, apply_state=None):
-    lr_t, kwargs = self._get_lr(var.device, var.dtype.base_dtype, apply_state)
-    decay = self._decay_weights_op(var, lr_t, apply_state)
-    with tf.control_dependencies([decay]):
-      return super(AdamWeightDecay,
-                   self)._resource_apply_dense(grad, var, **kwargs)
-
-  def _resource_apply_sparse(self, grad, var, indices, apply_state=None):
-    lr_t, kwargs = self._get_lr(var.device, var.dtype.base_dtype, apply_state)
-    decay = self._decay_weights_op(var, lr_t, apply_state)
-    with tf.control_dependencies([decay]):
-      return super(AdamWeightDecay,
-                   self)._resource_apply_sparse(grad, var, indices, **kwargs)
-
-  def get_config(self):
-    config = super(AdamWeightDecay, self).get_config()
-    config.update({
-        'weight_decay_rate': self.weight_decay_rate,
-    })
-    return config
-
-  def _do_use_weight_decay(self, param_name):
-    """Whether to use L2 weight decay for `param_name`."""
-    if self.weight_decay_rate == 0:
-      return False
-
-    if self._include_in_weight_decay:
-      for r in self._include_in_weight_decay:
-        if re.search(r, param_name) is not None:
-          return True
-
-    if self._exclude_from_weight_decay:
-      for r in self._exclude_from_weight_decay:
-        if re.search(r, param_name) is not None:
-          return False
-    return True
diff --git a/spaces/NHNDQ/KoTAN/app.py b/spaces/NHNDQ/KoTAN/app.py
deleted file mode 100644
index 0f1309315076e436dbcda3d2ceee201a982fc1ff..0000000000000000000000000000000000000000
--- a/spaces/NHNDQ/KoTAN/app.py
+++ /dev/null
@@ -1,205 +0,0 @@
-import os
-import gradio as gr
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
-
-en2ko = "KoJLabs/nllb-finetuned-en2ko"
-ko2en = "KoJLabs/nllb-finetuned-ko2en"
-style = "KoJLabs/bart-speech-style-converter"
-
-en2ko_model = AutoModelForSeq2SeqLM.from_pretrained(en2ko)
-ko2en_model = AutoModelForSeq2SeqLM.from_pretrained(ko2en)
-style_model = AutoModelForSeq2SeqLM.from_pretrained(style)
-
-en2ko_tokenizer = AutoTokenizer.from_pretrained(en2ko)
-ko2en_tokenizer = AutoTokenizer.from_pretrained(ko2en)
-style_tokenizer = AutoTokenizer.from_pretrained(style)
-
-def _post_process(self, text):
-        textList = []
-        emojiList = []
-        twit = Twitter()
-
-        posText = twit.pos(text)
-        posArray = np.array(posText)
-
-        for i in range(len(posArray)):
-            if posArray[i][1] == 'KoreanParticle':
-                emojiList.append(posArray[i][0])
-
-        for i in range(len(emojiList)):
-            splitText = text.split(emojiList[i], maxsplit=1)
-
-            if splitText[0] == '':
-                textList.append('')
-            else:
-                textList.append(splitText[0])
-
-            try:
-                if len(splitText[1:]) > 1:
-                    text = ''.join(splitText[1:]).strip()
-                else:
-                    text = splitText[1:][0].strip()
-
-            except:
-                break
-
-            try:
-                if text in emojiList[i+1]:
-                    pass
-            except:
-                textList.append(splitText[-1])
-                emojiList.append('')
-                break
-
-        ## 이모지 없는 경우            
-        if len(emojiList) < 1:
-            emojiList.append('')
-            textList.append(text)
-                
-        return emojiList, textList
-
-def translation(source, target, text):
-    formats = {"English":"eng_Latn", "Korean":"kor_Hang"}
-    src = formats[source]
-    tgt = formats[target]
-
-    if src == "eng_Latn":
-        translator = pipeline(
-            'translation',
-            model=en2ko_model,
-            tokenizer=en2ko_tokenizer,
-            src_lang=src, 
-            tgt_lang=tgt, 
-        )
-
-    if src == "kor_Hang":
-        translator = pipeline(
-            'translation',
-            model=ko2en_model,
-            tokenizer=ko2en_tokenizer,
-            src_lang=src, 
-            tgt_lang=tgt
-        )
-
-    output = translator(text)
-    translated_text = output[0]['translation_text']
-
-    if (text == '') or (text == '!') or (text == '?') or (text == '.') or (text == ','):
-        return text
-    else:
-        return translated_text
-
-def augmentation(text):
-    emojiList, textList = _post_process(text)
-
-    ko2en_translator = pipeline(
-            'translation',
-            model=ko2en_model,
-            tokenizer=ko2en_tokenizer,
-            src_lang="kor_Hang", 
-            tgt_lang="eng_Latn"
-        )
-    
-    output = ko2en_translator(textList)
-    outputs = []
-
-    for out in output:
-        outputs.append(out['translation_text'])
-    ko2en_text = outputs
-    
-    en2ko_translator = pipeline(
-            'translation',
-            model=en2ko_model,
-            tokenizer=en2ko_tokenizer,
-            src_lang="eng_Latn", 
-            tgt_lang="kor_Hang", 
-        )
-    
-    output = en2ko_translator(ko2en_text)
-    
-    en2ko_text = []
-    for txt in en2ko_text:
-        en2ko_text.append(txt['translation_text'])
-
-    outList = []    
-    for emo, txt in zip(emojiList, en2ko_text):
-        output = txt + emo
-        outList.append(output)
-        output = ''.join(outList).strip()
-
-    return output
-    
-
-def conversion(source, text):
-    formats = {
-                "formal":"문어체",
-                "informal":"구어체",
-                "android":"안드로이드",
-                "azae":"아재",
-                "chat":"채팅",
-                "choding":"초등학생",
-                "emoticon":"이모티콘",
-                "enfp":"enfp",
-                "gentle":"신사",
-                "halbae":"할아버지",
-                "halmae":"할머니",
-                "joongding":"중학생",
-                "king":"왕",
-                "naruto":"나루토",
-                "seonbi":"선비",
-                "sosim":"소심한",
-                "translator":"번역기",
-            }
-    style = formats[source]
-
-    input_text = f"{style} 형식으로 변환:" + text
-
-    converter = pipeline(
-            'text2text-generation',
-            model=style_model,
-            tokenizer=style_tokenizer,
-        )
-
-    output = converter(input_text)
-    generated_text = output[0]['generated_text']
-
-    return generated_text
-
-
-
-lang = ['English','Korean']
-style = ['formal', 'informal', 'android', 'azae', 'chat', 'choding', 'emoticon', 'enfp', \
-         'gentle', 'halbae', 'halmae', 'joongding', 'king', 'naruto', 'seonbi', 'sosim', 'translator']
-
-    
-translation_app = gr.Interface(
-    fn=translation,
-    inputs=[gr.inputs.Dropdown(choices=lang, label='Source Language'), gr.inputs.Dropdown(choices=lang, label='Target Language'), gr.inputs.Textbox(lines=5, label='Text to Translate')],
-    outputs=[gr.outputs.Textbox(label='Translated Text')],
-    title="Translation",
-    enable_queue=True,
-)
-
-augmentation_app = gr.Interface(
-    fn=augmentation,
-    inputs=[gr.inputs.Textbox(lines=5, label='Korean Text to Augmentation')],
-    outputs=[gr.outputs.Textbox(label='Augmented Text')],
-    title="Korean Data Augmentation (w.backtranslation)",
-    enable_queue=True,
-)
-    
-conversion_app = gr.Interface(
-    fn=conversion,
-    inputs=[gr.inputs.Dropdown(choices=style, label='Speech Style'), gr.inputs.Textbox(lines=5, label='Text to style conversion')],
-    outputs=[gr.outputs.Textbox(label='Converted Text')],
-    title="Speech Style Conversion",
-    enable_queue=True,
-)
-
-demo = gr.TabbedInterface([translation_app, augmentation_app, conversion_app], \
-                          ["Translation", "Augmentation", "Speech Style conversion"],\
-                          title = '🔥If you want to download as pip package, \
-                            please visit our github. (https://github.com/KoJLabs/KoTAN) 🔥'
-                            )
-
-demo.launch()
\ No newline at end of file
diff --git a/spaces/Narsil/gradiofold/molstar.js b/spaces/Narsil/gradiofold/molstar.js
deleted file mode 100644
index c9730bfce1bd05d2353bb0913c4e22d9b912b9dd..0000000000000000000000000000000000000000
--- a/spaces/Narsil/gradiofold/molstar.js
+++ /dev/null
@@ -1,2 +0,0 @@
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fA=(u+(r=r+Math.imul(c,Z)|0)|0)+((8191&(n=(n=n+Math.imul(c,W)|0)+Math.imul(B,Z)|0))<<13)|0;u=((i=i+Math.imul(B,W)|0)+(n>>>13)|0)+(fA>>>26)|0,fA&=67108863,r=Math.imul(y,V),n=(n=Math.imul(y,T))+Math.imul(v,V)|0,i=Math.imul(v,T),r=r+Math.imul(C,J)|0,n=(n=n+Math.imul(C,O)|0)+Math.imul(p,J)|0,i=i+Math.imul(p,O)|0,r=r+Math.imul(h,j)|0,n=(n=n+Math.imul(h,z)|0)+Math.imul(E,j)|0,i=i+Math.imul(E,z)|0,r=r+Math.imul(Q,Z)|0,n=(n=n+Math.imul(Q,W)|0)+Math.imul(I,Z)|0,i=i+Math.imul(I,W)|0;var CA=(u+(r=r+Math.imul(c,$)|0)|0)+((8191&(n=(n=n+Math.imul(c,AA)|0)+Math.imul(B,$)|0))<<13)|0;u=((i=i+Math.imul(B,AA)|0)+(n>>>13)|0)+(CA>>>26)|0,CA&=67108863,r=Math.imul(b,V),n=(n=Math.imul(b,T))+Math.imul(w,V)|0,i=Math.imul(w,T),r=r+Math.imul(y,J)|0,n=(n=n+Math.imul(y,O)|0)+Math.imul(v,J)|0,i=i+Math.imul(v,O)|0,r=r+Math.imul(C,j)|0,n=(n=n+Math.imul(C,z)|0)+Math.imul(p,j)|0,i=i+Math.imul(p,z)|0,r=r+Math.imul(h,Z)|0,n=(n=n+Math.imul(h,W)|0)+Math.imul(E,Z)|0,i=i+Math.imul(E,W)|0,r=r+Math.imul(Q,$)|0,n=(n=n+Math.imul(Q,AA)|0)+Math.imul(I,$)|0,i=i+Math.imul(I,AA)|0;var pA=(u+(r=r+Math.imul(c,tA)|0)|0)+((8191&(n=(n=n+Math.imul(c,rA)|0)+Math.imul(B,tA)|0))<<13)|0;u=((i=i+Math.imul(B,rA)|0)+(n>>>13)|0)+(pA>>>26)|0,pA&=67108863,r=Math.imul(U,V),n=(n=Math.imul(U,T))+Math.imul(S,V)|0,i=Math.imul(S,T),r=r+Math.imul(b,J)|0,n=(n=n+Math.imul(b,O)|0)+Math.imul(w,J)|0,i=i+Math.imul(w,O)|0,r=r+Math.imul(y,j)|0,n=(n=n+Math.imul(y,z)|0)+Math.imul(v,j)|0,i=i+Math.imul(v,z)|0,r=r+Math.imul(C,Z)|0,n=(n=n+Math.imul(C,W)|0)+Math.imul(p,Z)|0,i=i+Math.imul(p,W)|0,r=r+Math.imul(h,$)|0,n=(n=n+Math.imul(h,AA)|0)+Math.imul(E,$)|0,i=i+Math.imul(E,AA)|0,r=r+Math.imul(Q,tA)|0,n=(n=n+Math.imul(Q,rA)|0)+Math.imul(I,tA)|0,i=i+Math.imul(I,rA)|0;var mA=(u+(r=r+Math.imul(c,iA)|0)|0)+((8191&(n=(n=n+Math.imul(c,oA)|0)+Math.imul(B,iA)|0))<<13)|0;u=((i=i+Math.imul(B,oA)|0)+(n>>>13)|0)+(mA>>>26)|0,mA&=67108863,r=Math.imul(R,V),n=(n=Math.imul(R,T))+Math.imul(H,V)|0,i=Math.imul(H,T),r=r+Math.imul(U,J)|0,n=(n=n+Math.imul(U,O)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,O)|0,r=r+Math.imul(b,j)|0,n=(n=n+Math.imul(b,z)|0)+Math.imul(w,j)|0,i=i+Math.imul(w,z)|0,r=r+Math.imul(y,Z)|0,n=(n=n+Math.imul(y,W)|0)+Math.imul(v,Z)|0,i=i+Math.imul(v,W)|0,r=r+Math.imul(C,$)|0,n=(n=n+Math.imul(C,AA)|0)+Math.imul(p,$)|0,i=i+Math.imul(p,AA)|0,r=r+Math.imul(h,tA)|0,n=(n=n+Math.imul(h,rA)|0)+Math.imul(E,tA)|0,i=i+Math.imul(E,rA)|0,r=r+Math.imul(Q,iA)|0,n=(n=n+Math.imul(Q,oA)|0)+Math.imul(I,iA)|0,i=i+Math.imul(I,oA)|0;var yA=(u+(r=r+Math.imul(c,sA)|0)|0)+((8191&(n=(n=n+Math.imul(c,uA)|0)+Math.imul(B,sA)|0))<<13)|0;u=((i=i+Math.imul(B,uA)|0)+(n>>>13)|0)+(yA>>>26)|0,yA&=67108863,r=Math.imul(M,V),n=(n=Math.imul(M,T))+Math.imul(L,V)|0,i=Math.imul(L,T),r=r+Math.imul(R,J)|0,n=(n=n+Math.imul(R,O)|0)+Math.imul(H,J)|0,i=i+Math.imul(H,O)|0,r=r+Math.imul(U,j)|0,n=(n=n+Math.imul(U,z)|0)+Math.imul(S,j)|0,i=i+Math.imul(S,z)|0,r=r+Math.imul(b,Z)|0,n=(n=n+Math.imul(b,W)|0)+Math.imul(w,Z)|0,i=i+Math.imul(w,W)|0,r=r+Math.imul(y,$)|0,n=(n=n+Math.imul(y,AA)|0)+Math.imul(v,$)|0,i=i+Math.imul(v,AA)|0,r=r+Math.imul(C,tA)|0,n=(n=n+Math.imul(C,rA)|0)+Math.imul(p,tA)|0,i=i+Math.imul(p,rA)|0,r=r+Math.imul(h,iA)|0,n=(n=n+Math.imul(h,oA)|0)+Math.imul(E,iA)|0,i=i+Math.imul(E,oA)|0,r=r+Math.imul(Q,sA)|0,n=(n=n+Math.imul(Q,uA)|0)+Math.imul(I,sA)|0,i=i+Math.imul(I,uA)|0;var vA=(u+(r=r+Math.imul(c,cA)|0)|0)+((8191&(n=(n=n+Math.imul(c,BA)|0)+Math.imul(B,cA)|0))<<13)|0;u=((i=i+Math.imul(B,BA)|0)+(n>>>13)|0)+(vA>>>26)|0,vA&=67108863,r=Math.imul(k,V),n=(n=Math.imul(k,T))+Math.imul(Y,V)|0,i=Math.imul(Y,T),r=r+Math.imul(M,J)|0,n=(n=n+Math.imul(M,O)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,O)|0,r=r+Math.imul(R,j)|0,n=(n=n+Math.imul(R,z)|0)+Math.imul(H,j)|0,i=i+Math.imul(H,z)|0,r=r+Math.imul(U,Z)|0,n=(n=n+Math.imul(U,W)|0)+Math.imul(S,Z)|0,i=i+Math.imul(S,W)|0,r=r+Math.imul(b,$)|0,n=(n=n+Math.imul(b,AA)|0)+Math.imul(w,$)|0,i=i+Math.imul(w,AA)|0,r=r+Math.imul(y,tA)|0,n=(n=n+Math.imul(y,rA)|0)+Math.imul(v,tA)|0,i=i+Math.imul(v,rA)|0,r=r+Math.imul(C,iA)|0,n=(n=n+Math.imul(C,oA)|0)+Math.imul(p,iA)|0,i=i+Math.imul(p,oA)|0,r=r+Math.imul(h,sA)|0,n=(n=n+Math.imul(h,uA)|0)+Math.imul(E,sA)|0,i=i+Math.imul(E,uA)|0,r=r+Math.imul(Q,cA)|0,n=(n=n+Math.imul(Q,BA)|0)+Math.imul(I,cA)|0,i=i+Math.imul(I,BA)|0;var DA=(u+(r=r+Math.imul(c,QA)|0)|0)+((8191&(n=(n=n+Math.imul(c,IA)|0)+Math.imul(B,QA)|0))<<13)|0;u=((i=i+Math.imul(B,IA)|0)+(n>>>13)|0)+(DA>>>26)|0,DA&=67108863,r=Math.imul(k,J),n=(n=Math.imul(k,O))+Math.imul(Y,J)|0,i=Math.imul(Y,O),r=r+Math.imul(M,j)|0,n=(n=n+Math.imul(M,z)|0)+Math.imul(L,j)|0,i=i+Math.imul(L,z)|0,r=r+Math.imul(R,Z)|0,n=(n=n+Math.imul(R,W)|0)+Math.imul(H,Z)|0,i=i+Math.imul(H,W)|0,r=r+Math.imul(U,$)|0,n=(n=n+Math.imul(U,AA)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,AA)|0,r=r+Math.imul(b,tA)|0,n=(n=n+Math.imul(b,rA)|0)+Math.imul(w,tA)|0,i=i+Math.imul(w,rA)|0,r=r+Math.imul(y,iA)|0,n=(n=n+Math.imul(y,oA)|0)+Math.imul(v,iA)|0,i=i+Math.imul(v,oA)|0,r=r+Math.imul(C,sA)|0,n=(n=n+Math.imul(C,uA)|0)+Math.imul(p,sA)|0,i=i+Math.imul(p,uA)|0,r=r+Math.imul(h,cA)|0,n=(n=n+Math.imul(h,BA)|0)+Math.imul(E,cA)|0,i=i+Math.imul(E,BA)|0;var bA=(u+(r=r+Math.imul(Q,QA)|0)|0)+((8191&(n=(n=n+Math.imul(Q,IA)|0)+Math.imul(I,QA)|0))<<13)|0;u=((i=i+Math.imul(I,IA)|0)+(n>>>13)|0)+(bA>>>26)|0,bA&=67108863,r=Math.imul(k,j),n=(n=Math.imul(k,z))+Math.imul(Y,j)|0,i=Math.imul(Y,z),r=r+Math.imul(M,Z)|0,n=(n=n+Math.imul(M,W)|0)+Math.imul(L,Z)|0,i=i+Math.imul(L,W)|0,r=r+Math.imul(R,$)|0,n=(n=n+Math.imul(R,AA)|0)+Math.imul(H,$)|0,i=i+Math.imul(H,AA)|0,r=r+Math.imul(U,tA)|0,n=(n=n+Math.imul(U,rA)|0)+Math.imul(S,tA)|0,i=i+Math.imul(S,rA)|0,r=r+Math.imul(b,iA)|0,n=(n=n+Math.imul(b,oA)|0)+Math.imul(w,iA)|0,i=i+Math.imul(w,oA)|0,r=r+Math.imul(y,sA)|0,n=(n=n+Math.imul(y,uA)|0)+Math.imul(v,sA)|0,i=i+Math.imul(v,uA)|0,r=r+Math.imul(C,cA)|0,n=(n=n+Math.imul(C,BA)|0)+Math.imul(p,cA)|0,i=i+Math.imul(p,BA)|0;var wA=(u+(r=r+Math.imul(h,QA)|0)|0)+((8191&(n=(n=n+Math.imul(h,IA)|0)+Math.imul(E,QA)|0))<<13)|0;u=((i=i+Math.imul(E,IA)|0)+(n>>>13)|0)+(wA>>>26)|0,wA&=67108863,r=Math.imul(k,Z),n=(n=Math.imul(k,W))+Math.imul(Y,Z)|0,i=Math.imul(Y,W),r=r+Math.imul(M,$)|0,n=(n=n+Math.imul(M,AA)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,AA)|0,r=r+Math.imul(R,tA)|0,n=(n=n+Math.imul(R,rA)|0)+Math.imul(H,tA)|0,i=i+Math.imul(H,rA)|0,r=r+Math.imul(U,iA)|0,n=(n=n+Math.imul(U,oA)|0)+Math.imul(S,iA)|0,i=i+Math.imul(S,oA)|0,r=r+Math.imul(b,sA)|0,n=(n=n+Math.imul(b,uA)|0)+Math.imul(w,sA)|0,i=i+Math.imul(w,uA)|0,r=r+Math.imul(y,cA)|0,n=(n=n+Math.imul(y,BA)|0)+Math.imul(v,cA)|0,i=i+Math.imul(v,BA)|0;var FA=(u+(r=r+Math.imul(C,QA)|0)|0)+((8191&(n=(n=n+Math.imul(C,IA)|0)+Math.imul(p,QA)|0))<<13)|0;u=((i=i+Math.imul(p,IA)|0)+(n>>>13)|0)+(FA>>>26)|0,FA&=67108863,r=Math.imul(k,$),n=(n=Math.imul(k,AA))+Math.imul(Y,$)|0,i=Math.imul(Y,AA),r=r+Math.imul(M,tA)|0,n=(n=n+Math.imul(M,rA)|0)+Math.imul(L,tA)|0,i=i+Math.imul(L,rA)|0,r=r+Math.imul(R,iA)|0,n=(n=n+Math.imul(R,oA)|0)+Math.imul(H,iA)|0,i=i+Math.imul(H,oA)|0,r=r+Math.imul(U,sA)|0,n=(n=n+Math.imul(U,uA)|0)+Math.imul(S,sA)|0,i=i+Math.imul(S,uA)|0,r=r+Math.imul(b,cA)|0,n=(n=n+Math.imul(b,BA)|0)+Math.imul(w,cA)|0,i=i+Math.imul(w,BA)|0;var UA=(u+(r=r+Math.imul(y,QA)|0)|0)+((8191&(n=(n=n+Math.imul(y,IA)|0)+Math.imul(v,QA)|0))<<13)|0;u=((i=i+Math.imul(v,IA)|0)+(n>>>13)|0)+(UA>>>26)|0,UA&=67108863,r=Math.imul(k,tA),n=(n=Math.imul(k,rA))+Math.imul(Y,tA)|0,i=Math.imul(Y,rA),r=r+Math.imul(M,iA)|0,n=(n=n+Math.imul(M,oA)|0)+Math.imul(L,iA)|0,i=i+Math.imul(L,oA)|0,r=r+Math.imul(R,sA)|0,n=(n=n+Math.imul(R,uA)|0)+Math.imul(H,sA)|0,i=i+Math.imul(H,uA)|0,r=r+Math.imul(U,cA)|0,n=(n=n+Math.imul(U,BA)|0)+Math.imul(S,cA)|0,i=i+Math.imul(S,BA)|0;var SA=(u+(r=r+Math.imul(b,QA)|0)|0)+((8191&(n=(n=n+Math.imul(b,IA)|0)+Math.imul(w,QA)|0))<<13)|0;u=((i=i+Math.imul(w,IA)|0)+(n>>>13)|0)+(SA>>>26)|0,SA&=67108863,r=Math.imul(k,iA),n=(n=Math.imul(k,oA))+Math.imul(Y,iA)|0,i=Math.imul(Y,oA),r=r+Math.imul(M,sA)|0,n=(n=n+Math.imul(M,uA)|0)+Math.imul(L,sA)|0,i=i+Math.imul(L,uA)|0,r=r+Math.imul(R,cA)|0,n=(n=n+Math.imul(R,BA)|0)+Math.imul(H,cA)|0,i=i+Math.imul(H,BA)|0;var NA=(u+(r=r+Math.imul(U,QA)|0)|0)+((8191&(n=(n=n+Math.imul(U,IA)|0)+Math.imul(S,QA)|0))<<13)|0;u=((i=i+Math.imul(S,IA)|0)+(n>>>13)|0)+(NA>>>26)|0,NA&=67108863,r=Math.imul(k,sA),n=(n=Math.imul(k,uA))+Math.imul(Y,sA)|0,i=Math.imul(Y,uA),r=r+Math.imul(M,cA)|0,n=(n=n+Math.imul(M,BA)|0)+Math.imul(L,cA)|0,i=i+Math.imul(L,BA)|0;var RA=(u+(r=r+Math.imul(R,QA)|0)|0)+((8191&(n=(n=n+Math.imul(R,IA)|0)+Math.imul(H,QA)|0))<<13)|0;u=((i=i+Math.imul(H,IA)|0)+(n>>>13)|0)+(RA>>>26)|0,RA&=67108863,r=Math.imul(k,cA),n=(n=Math.imul(k,BA))+Math.imul(Y,cA)|0,i=Math.imul(Y,BA);var HA=(u+(r=r+Math.imul(M,QA)|0)|0)+((8191&(n=(n=n+Math.imul(M,IA)|0)+Math.imul(L,QA)|0))<<13)|0;u=((i=i+Math.imul(L,IA)|0)+(n>>>13)|0)+(HA>>>26)|0,HA&=67108863;var GA=(u+(r=Math.imul(k,QA))|0)+((8191&(n=(n=Math.imul(k,IA))+Math.imul(Y,QA)|0))<<13)|0;return u=((i=Math.imul(Y,IA))+(n>>>13)|0)+(GA>>>26)|0,GA&=67108863,s[0]=dA,s[1]=hA,s[2]=EA,s[3]=fA,s[4]=CA,s[5]=pA,s[6]=mA,s[7]=yA,s[8]=vA,s[9]=DA,s[10]=bA,s[11]=wA,s[12]=FA,s[13]=UA,s[14]=SA,s[15]=NA,s[16]=RA,s[17]=HA,s[18]=GA,0!==u&&(s[19]=u,t.length++),t};function I(A,e,t){return(new d).mulp(A,e,t)}function d(A,e){this.x=A,this.y=e}Math.imul||(Q=l),i.prototype.mulTo=function(A,e){var t,r=this.length+A.length;return t=10===this.length&&10===A.length?Q(this,A,e):r<63?l(this,A,e):r<1024?function(A,e,t){t.negative=e.negative^A.negative,t.length=A.length+e.length;for(var r=0,n=0,i=0;i<t.length-1;i++){var o=n;n=0;for(var a=67108863&r,s=Math.min(i,e.length-1),u=Math.max(0,i-A.length+1);u<=s;u++){var g=i-u,c=(0|A.words[g])*(0|e.words[u]),B=67108863&c;a=67108863&(B=B+a|0),n+=(o=(o=o+(c/67108864|0)|0)+(B>>>26)|0)>>>26,o&=67108863}t.words[i]=a,r=o,o=n}return 0!==r?t.words[i]=r:t.length--,t.strip()}(this,A,e):I(this,A,e),t},d.prototype.makeRBT=function(A){for(var e=new Array(A),t=i.prototype._countBits(A)-1,r=0;r<A;r++)e[r]=this.revBin(r,t,A);return e},d.prototype.revBin=function(A,e,t){if(0===A||A===t-1)return A;for(var r=0,n=0;n<e;n++)r|=(1&A)<<e-n-1,A>>=1;return r},d.prototype.permute=function(A,e,t,r,n,i){for(var o=0;o<i;o++)r[o]=e[A[o]],n[o]=t[A[o]]},d.prototype.transform=function(A,e,t,r,n,i){this.permute(i,A,e,t,r,n);for(var o=1;o<n;o<<=1)for(var a=o<<1,s=Math.cos(2*Math.PI/a),u=Math.sin(2*Math.PI/a),g=0;g<n;g+=a)for(var c=s,B=u,l=0;l<o;l++){var Q=t[g+l],I=r[g+l],d=t[g+l+o],h=r[g+l+o],E=c*d-B*h;h=c*h+B*d,d=E,t[g+l]=Q+d,r[g+l]=I+h,t[g+l+o]=Q-d,r[g+l+o]=I-h,l!==a&&(E=s*c-u*B,B=s*B+u*c,c=E)}},d.prototype.guessLen13b=function(A,e){var t=1|Math.max(e,A),r=1&t,n=0;for(t=t/2|0;t;t>>>=1)n++;return 1<<n+1+r},d.prototype.conjugate=function(A,e,t){if(!(t<=1))for(var r=0;r<t/2;r++){var n=A[r];A[r]=A[t-r-1],A[t-r-1]=n,n=e[r],e[r]=-e[t-r-1],e[t-r-1]=-n}},d.prototype.normalize13b=function(A,e){for(var t=0,r=0;r<e/2;r++){var n=8192*Math.round(A[2*r+1]/e)+Math.round(A[2*r]/e)+t;A[r]=67108863&n,t=n<67108864?0:n/67108864|0}return A},d.prototype.convert13b=function(A,e,t,n){for(var i=0,o=0;o<e;o++)i+=0|A[o],t[2*o]=8191&i,i>>>=13,t[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<n;++o)t[o]=0;r(0===i),r(0==(-8192&i))},d.prototype.stub=function(A){for(var e=new Array(A),t=0;t<A;t++)e[t]=0;return e},d.prototype.mulp=function(A,e,t){var r=2*this.guessLen13b(A.length,e.length),n=this.makeRBT(r),i=this.stub(r),o=new Array(r),a=new Array(r),s=new Array(r),u=new Array(r),g=new Array(r),c=new Array(r),B=t.words;B.length=r,this.convert13b(A.words,A.length,o,r),this.convert13b(e.words,e.length,u,r),this.transform(o,i,a,s,r,n),this.transform(u,i,g,c,r,n);for(var l=0;l<r;l++){var Q=a[l]*g[l]-s[l]*c[l];s[l]=a[l]*c[l]+s[l]*g[l],a[l]=Q}return this.conjugate(a,s,r),this.transform(a,s,B,i,r,n),this.conjugate(B,i,r),this.normalize13b(B,r),t.negative=A.negative^e.negative,t.length=A.length+e.length,t.strip()},i.prototype.mul=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),this.mulTo(A,e)},i.prototype.mulf=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),I(this,A,e)},i.prototype.imul=function(A){return this.clone().mulTo(A,this)},i.prototype.imuln=function(A){r("number"==typeof A),r(A<67108864);for(var e=0,t=0;t<this.length;t++){var n=(0|this.words[t])*A,i=(67108863&n)+(67108863&e);e>>=26,e+=n/67108864|0,e+=i>>>26,this.words[t]=67108863&i}return 0!==e&&(this.words[t]=e,this.length++),this},i.prototype.muln=function(A){return this.clone().imuln(A)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(A){var e=function(A){for(var e=new Array(A.bitLength()),t=0;t<e.length;t++){var r=t/26|0,n=t%26;e[t]=(A.words[r]&1<<n)>>>n}return e}(A);if(0===e.length)return new i(1);for(var t=this,r=0;r<e.length&&0===e[r];r++,t=t.sqr());if(++r<e.length)for(var n=t.sqr();r<e.length;r++,n=n.sqr())0!==e[r]&&(t=t.mul(n));return t},i.prototype.iushln=function(A){r("number"==typeof A&&A>=0);var e,t=A%26,n=(A-t)/26,i=67108863>>>26-t<<26-t;if(0!==t){var o=0;for(e=0;e<this.length;e++){var a=this.words[e]&i,s=(0|this.words[e])-a<<t;this.words[e]=s|o,o=a>>>26-t}o&&(this.words[e]=o,this.length++)}if(0!==n){for(e=this.length-1;e>=0;e--)this.words[e+n]=this.words[e];for(e=0;e<n;e++)this.words[e]=0;this.length+=n}return this.strip()},i.prototype.ishln=function(A){return r(0===this.negative),this.iushln(A)},i.prototype.iushrn=function(A,e,t){var n;r("number"==typeof A&&A>=0),n=e?(e-e%26)/26:0;var i=A%26,o=Math.min((A-i)/26,this.length),a=67108863^67108863>>>i<<i,s=t;if(n-=o,n=Math.max(0,n),s){for(var u=0;u<o;u++)s.words[u]=this.words[u];s.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var g=0;for(u=this.length-1;u>=0&&(0!==g||u>=n);u--){var c=0|this.words[u];this.words[u]=g<<26-i|c>>>i,g=c&a}return s&&0!==g&&(s.words[s.length++]=g),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(A,e,t){return r(0===this.negative),this.iushrn(A,e,t)},i.prototype.shln=function(A){return this.clone().ishln(A)},i.prototype.ushln=function(A){return this.clone().iushln(A)},i.prototype.shrn=function(A){return this.clone().ishrn(A)},i.prototype.ushrn=function(A){return this.clone().iushrn(A)},i.prototype.testn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26,n=1<<e;return!(this.length<=t||!(this.words[t]&n))},i.prototype.imaskn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=t)return this;if(0!==e&&t++,this.length=Math.min(t,this.length),0!==e){var n=67108863^67108863>>>e<<e;this.words[this.length-1]&=n}return this.strip()},i.prototype.maskn=function(A){return this.clone().imaskn(A)},i.prototype.iaddn=function(A){return r("number"==typeof A),r(A<67108864),A<0?this.isubn(-A):0!==this.negative?1===this.length&&(0|this.words[0])<A?(this.words[0]=A-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(A),this.negative=1,this):this._iaddn(A)},i.prototype._iaddn=function(A){this.words[0]+=A;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(A){if(r("number"==typeof A),r(A<67108864),A<0)return this.iaddn(-A);if(0!==this.negative)return this.negative=0,this.iaddn(A),this.negative=1,this;if(this.words[0]-=A,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(A){return this.clone().iaddn(A)},i.prototype.subn=function(A){return this.clone().isubn(A)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(A,e,t){var n,i,o=A.length+t;this._expand(o);var a=0;for(n=0;n<A.length;n++){i=(0|this.words[n+t])+a;var s=(0|A.words[n])*e;a=((i-=67108863&s)>>26)-(s/67108864|0),this.words[n+t]=67108863&i}for(;n<this.length-t;n++)a=(i=(0|this.words[n+t])+a)>>26,this.words[n+t]=67108863&i;if(0===a)return this.strip();for(r(-1===a),a=0,n=0;n<this.length;n++)a=(i=-(0|this.words[n])+a)>>26,this.words[n]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(A,e){var t=(this.length,A.length),r=this.clone(),n=A,o=0|n.words[n.length-1];0!=(t=26-this._countBits(o))&&(n=n.ushln(t),r.iushln(t),o=0|n.words[n.length-1]);var a,s=r.length-n.length;if("mod"!==e){(a=new i(null)).length=s+1,a.words=new Array(a.length);for(var u=0;u<a.length;u++)a.words[u]=0}var g=r.clone()._ishlnsubmul(n,1,s);0===g.negative&&(r=g,a&&(a.words[s]=1));for(var c=s-1;c>=0;c--){var B=67108864*(0|r.words[n.length+c])+(0|r.words[n.length+c-1]);for(B=Math.min(B/o|0,67108863),r._ishlnsubmul(n,B,c);0!==r.negative;)B--,r.negative=0,r._ishlnsubmul(n,1,c),r.isZero()||(r.negative^=1);a&&(a.words[c]=B)}return a&&a.strip(),r.strip(),"div"!==e&&0!==t&&r.iushrn(t),{div:a||null,mod:r}},i.prototype.divmod=function(A,e,t){return r(!A.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===A.negative?(a=this.neg().divmod(A,e),"mod"!==e&&(n=a.div.neg()),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.iadd(A)),{div:n,mod:o}):0===this.negative&&0!==A.negative?(a=this.divmod(A.neg(),e),"mod"!==e&&(n=a.div.neg()),{div:n,mod:a.mod}):0!=(this.negative&A.negative)?(a=this.neg().divmod(A.neg(),e),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.isub(A)),{div:a.div,mod:o}):A.length>this.length||this.cmp(A)<0?{div:new i(0),mod:this}:1===A.length?"div"===e?{div:this.divn(A.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(A.words[0]))}:{div:this.divn(A.words[0]),mod:new i(this.modn(A.words[0]))}:this._wordDiv(A,e);var n,o,a},i.prototype.div=function(A){return this.divmod(A,"div",!1).div},i.prototype.mod=function(A){return this.divmod(A,"mod",!1).mod},i.prototype.umod=function(A){return this.divmod(A,"mod",!0).mod},i.prototype.divRound=function(A){var e=this.divmod(A);if(e.mod.isZero())return e.div;var t=0!==e.div.negative?e.mod.isub(A):e.mod,r=A.ushrn(1),n=A.andln(1),i=t.cmp(r);return i<0||1===n&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(A){r(A<=67108863);for(var e=(1<<26)%A,t=0,n=this.length-1;n>=0;n--)t=(e*t+(0|this.words[n]))%A;return t},i.prototype.idivn=function(A){r(A<=67108863);for(var e=0,t=this.length-1;t>=0;t--){var n=(0|this.words[t])+67108864*e;this.words[t]=n/A|0,e=n%A}return this.strip()},i.prototype.divn=function(A){return this.clone().idivn(A)},i.prototype.egcd=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n=new i(1),o=new i(0),a=new i(0),s=new i(1),u=0;e.isEven()&&t.isEven();)e.iushrn(1),t.iushrn(1),++u;for(var g=t.clone(),c=e.clone();!e.isZero();){for(var B=0,l=1;0==(e.words[0]&l)&&B<26;++B,l<<=1);if(B>0)for(e.iushrn(B);B-- >0;)(n.isOdd()||o.isOdd())&&(n.iadd(g),o.isub(c)),n.iushrn(1),o.iushrn(1);for(var Q=0,I=1;0==(t.words[0]&I)&&Q<26;++Q,I<<=1);if(Q>0)for(t.iushrn(Q);Q-- >0;)(a.isOdd()||s.isOdd())&&(a.iadd(g),s.isub(c)),a.iushrn(1),s.iushrn(1);e.cmp(t)>=0?(e.isub(t),n.isub(a),o.isub(s)):(t.isub(e),a.isub(n),s.isub(o))}return{a,b:s,gcd:t.iushln(u)}},i.prototype._invmp=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n,o=new i(1),a=new i(0),s=t.clone();e.cmpn(1)>0&&t.cmpn(1)>0;){for(var u=0,g=1;0==(e.words[0]&g)&&u<26;++u,g<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);for(var c=0,B=1;0==(t.words[0]&B)&&c<26;++c,B<<=1);if(c>0)for(t.iushrn(c);c-- >0;)a.isOdd()&&a.iadd(s),a.iushrn(1);e.cmp(t)>=0?(e.isub(t),o.isub(a)):(t.isub(e),a.isub(o))}return(n=0===e.cmpn(1)?o:a).cmpn(0)<0&&n.iadd(A),n},i.prototype.gcd=function(A){if(this.isZero())return A.abs();if(A.isZero())return this.abs();var e=this.clone(),t=A.clone();e.negative=0,t.negative=0;for(var r=0;e.isEven()&&t.isEven();r++)e.iushrn(1),t.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;t.isEven();)t.iushrn(1);var n=e.cmp(t);if(n<0){var i=e;e=t,t=i}else if(0===n||0===t.cmpn(1))break;e.isub(t)}return t.iushln(r)},i.prototype.invm=function(A){return this.egcd(A).a.umod(A)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(A){return this.words[0]&A},i.prototype.bincn=function(A){r("number"==typeof A);var e=A%26,t=(A-e)/26,n=1<<e;if(this.length<=t)return this._expand(t+1),this.words[t]|=n,this;for(var i=n,o=t;0!==i&&o<this.length;o++){var a=0|this.words[o];i=(a+=i)>>>26,a&=67108863,this.words[o]=a}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(A){var e,t=A<0;if(0!==this.negative&&!t)return-1;if(0===this.negative&&t)return 1;if(this.strip(),this.length>1)e=1;else{t&&(A=-A),r(A<=67108863,"Number is too big");var n=0|this.words[0];e=n===A?0:n<A?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(A){if(0!==this.negative&&0===A.negative)return-1;if(0===this.negative&&0!==A.negative)return 1;var e=this.ucmp(A);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(A){if(this.length>A.length)return 1;if(this.length<A.length)return-1;for(var e=0,t=this.length-1;t>=0;t--){var r=0|this.words[t],n=0|A.words[t];if(r!==n){r<n?e=-1:r>n&&(e=1);break}}return e},i.prototype.gtn=function(A){return 1===this.cmpn(A)},i.prototype.gt=function(A){return 1===this.cmp(A)},i.prototype.gten=function(A){return this.cmpn(A)>=0},i.prototype.gte=function(A){return this.cmp(A)>=0},i.prototype.ltn=function(A){return-1===this.cmpn(A)},i.prototype.lt=function(A){return-1===this.cmp(A)},i.prototype.lten=function(A){return this.cmpn(A)<=0},i.prototype.lte=function(A){return this.cmp(A)<=0},i.prototype.eqn=function(A){return 0===this.cmpn(A)},i.prototype.eq=function(A){return 0===this.cmp(A)},i.red=function(A){return new y(A)},i.prototype.toRed=function(A){return r(!this.red,"Already a number in reduction context"),r(0===this.negative,"red works only with positives"),A.convertTo(this)._forceRed(A)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(A){return this.red=A,this},i.prototype.forceRed=function(A){return r(!this.red,"Already a number in reduction context"),this._forceRed(A)},i.prototype.redAdd=function(A){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,A)},i.prototype.redIAdd=function(A){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,A)},i.prototype.redSub=function(A){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,A)},i.prototype.redISub=function(A){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,A)},i.prototype.redShl=function(A){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,A)},i.prototype.redMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.mul(this,A)},i.prototype.redIMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.imul(this,A)},i.prototype.redSqr=function(){return r(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return r(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return r(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return r(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return r(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(A){return r(this.red&&!A.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,A)};var h={k256:null,p224:null,p192:null,p25519:null};function E(A,e){this.name=A,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function f(){E.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function C(){E.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function p(){E.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function m(){E.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function y(A){if("string"==typeof A){var e=i._prime(A);this.m=e.p,this.prime=e}else r(A.gtn(1),"modulus must be greater than 1"),this.m=A,this.prime=null}function v(A){y.call(this,A),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}E.prototype._tmp=function(){var A=new i(null);return A.words=new Array(Math.ceil(this.n/13)),A},E.prototype.ireduce=function(A){var e,t=A;do{this.split(t,this.tmp),e=(t=(t=this.imulK(t)).iadd(this.tmp)).bitLength()}while(e>this.n);var r=e<this.n?-1:t.ucmp(this.p);return 0===r?(t.words[0]=0,t.length=1):r>0?t.isub(this.p):void 0!==t.strip?t.strip():t._strip(),t},E.prototype.split=function(A,e){A.iushrn(this.n,0,e)},E.prototype.imulK=function(A){return A.imul(this.k)},n(f,E),f.prototype.split=function(A,e){for(var t=4194303,r=Math.min(A.length,9),n=0;n<r;n++)e.words[n]=A.words[n];if(e.length=r,A.length<=9)return A.words[0]=0,void(A.length=1);var i=A.words[9];for(e.words[e.length++]=i&t,n=10;n<A.length;n++){var o=0|A.words[n];A.words[n-10]=(o&t)<<4|i>>>22,i=o}i>>>=22,A.words[n-10]=i,0===i&&A.length>10?A.length-=10:A.length-=9},f.prototype.imulK=function(A){A.words[A.length]=0,A.words[A.length+1]=0,A.length+=2;for(var e=0,t=0;t<A.length;t++){var r=0|A.words[t];e+=977*r,A.words[t]=67108863&e,e=64*r+(e/67108864|0)}return 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g=s>>>26,c=67108863&s,B=Math.min(u,e.length-1),l=Math.max(0,u-A.length+1);l<=B;l++){var Q=u-l|0;g+=(o=(n=0|A.words[Q])*(i=0|e.words[l])+c)/67108864|0,c=67108863&o}t.words[u]=0|c,s=0|g}return 0!==s?t.words[u]=0|s:t.length--,t._strip()}i.prototype.toString=function(A,e){var t;if(e=0|e||1,16===(A=A||10)||"hex"===A){t="";for(var n=0,i=0,o=0;o<this.length;o++){var a=this.words[o],s=(16777215&(a<<n|i)).toString(16);t=0!=(i=a>>>24-n&16777215)||o!==this.length-1?B[6-s.length]+s+t:s+t,(n+=2)>=26&&(n-=26,o--)}for(0!==i&&(t=i.toString(16)+t);t.length%e!=0;)t="0"+t;return 0!==this.negative&&(t="-"+t),t}if(A===(0|A)&&A>=2&&A<=36){var u=l[A],g=Q[A];t="";var c=this.clone();for(c.negative=0;!c.isZero();){var I=c.modrn(g).toString(A);t=(c=c.idivn(g)).isZero()?I+t:B[u-I.length]+I+t}for(this.isZero()&&(t="0"+t);t.length%e!=0;)t="0"+t;return 0!==this.negative&&(t="-"+t),t}r(!1,"Base should be between 2 and 36")},i.prototype.toNumber=function(){var A=this.words[0];return 2===this.length?A+=67108864*this.words[1]:3===this.length&&1===this.words[2]?A+=4503599627370496+67108864*this.words[1]:this.length>2&&r(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-A:A},i.prototype.toJSON=function(){return this.toString(16,2)},o&&(i.prototype.toBuffer=function(A,e){return this.toArrayLike(o,A,e)}),i.prototype.toArray=function(A,e){return this.toArrayLike(Array,A,e)},i.prototype.toArrayLike=function(A,e,t){this._strip();var n=this.byteLength(),i=t||Math.max(1,n);r(n<=i,"byte array longer than desired length"),r(i>0,"Requested array length <= 0");var o=function(A,e){return A.allocUnsafe?A.allocUnsafe(e):new A(e)}(A,i);return this["_toArrayLike"+("le"===e?"LE":"BE")](o,n),o},i.prototype._toArrayLikeLE=function(A,e){for(var t=0,r=0,n=0,i=0;n<this.length;n++){var o=this.words[n]<<i|r;A[t++]=255&o,t<A.length&&(A[t++]=o>>8&255),t<A.length&&(A[t++]=o>>16&255),6===i?(t<A.length&&(A[t++]=o>>24&255),r=0,i=0):(r=o>>>24,i+=2)}if(t<A.length)for(A[t++]=r;t<A.length;)A[t++]=0},i.prototype._toArrayLikeBE=function(A,e){for(var t=A.length-1,r=0,n=0,i=0;n<this.length;n++){var o=this.words[n]<<i|r;A[t--]=255&o,t>=0&&(A[t--]=o>>8&255),t>=0&&(A[t--]=o>>16&255),6===i?(t>=0&&(A[t--]=o>>24&255),r=0,i=0):(r=o>>>24,i+=2)}if(t>=0)for(A[t--]=r;t>=0;)A[t--]=0},Math.clz32?i.prototype._countBits=function(A){return 32-Math.clz32(A)}:i.prototype._countBits=function(A){var e=A,t=0;return e>=4096&&(t+=13,e>>>=13),e>=64&&(t+=7,e>>>=7),e>=8&&(t+=4,e>>>=4),e>=2&&(t+=2,e>>>=2),t+e},i.prototype._zeroBits=function(A){if(0===A)return 26;var e=A,t=0;return 0==(8191&e)&&(t+=13,e>>>=13),0==(127&e)&&(t+=7,e>>>=7),0==(15&e)&&(t+=4,e>>>=4),0==(3&e)&&(t+=2,e>>>=2),0==(1&e)&&t++,t},i.prototype.bitLength=function(){var A=this.words[this.length-1],e=this._countBits(A);return 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n=0,i=0;i<r.length;i++)e=(0|t.words[i])+(0|r.words[i])+n,this.words[i]=67108863&e,n=e>>>26;for(;0!==n&&i<t.length;i++)e=(0|t.words[i])+n,this.words[i]=67108863&e,n=e>>>26;if(this.length=t.length,0!==n)this.words[this.length]=n,this.length++;else if(t!==this)for(;i<t.length;i++)this.words[i]=t.words[i];return this},i.prototype.add=function(A){var e;return 0!==A.negative&&0===this.negative?(A.negative=0,e=this.sub(A),A.negative^=1,e):0===A.negative&&0!==this.negative?(this.negative=0,e=A.sub(this),this.negative=1,e):this.length>A.length?this.clone().iadd(A):A.clone().iadd(this)},i.prototype.isub=function(A){if(0!==A.negative){A.negative=0;var e=this.iadd(A);return A.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(A),this.negative=1,this._normSign();var t,r,n=this.cmp(A);if(0===n)return this.negative=0,this.length=1,this.words[0]=0,this;n>0?(t=this,r=A):(t=A,r=this);for(var i=0,o=0;o<r.length;o++)i=(e=(0|t.words[o])-(0|r.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<t.length;o++)i=(e=(0|t.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<t.length&&t!==this)for(;o<t.length;o++)this.words[o]=t.words[o];return this.length=Math.max(this.length,o),t!==this&&(this.negative=1),this._strip()},i.prototype.sub=function(A){return this.clone().isub(A)};var d=function(A,e,t){var r,n,i,o=A.words,a=e.words,s=t.words,u=0,g=0|o[0],c=8191&g,B=g>>>13,l=0|o[1],Q=8191&l,I=l>>>13,d=0|o[2],h=8191&d,E=d>>>13,f=0|o[3],C=8191&f,p=f>>>13,m=0|o[4],y=8191&m,v=m>>>13,D=0|o[5],b=8191&D,w=D>>>13,F=0|o[6],U=8191&F,S=F>>>13,N=0|o[7],R=8191&N,H=N>>>13,G=0|o[8],M=8191&G,L=G>>>13,x=0|o[9],k=8191&x,Y=x>>>13,_=0|a[0],V=8191&_,T=_>>>13,P=0|a[1],J=8191&P,O=P>>>13,K=0|a[2],j=8191&K,z=K>>>13,q=0|a[3],Z=8191&q,W=q>>>13,X=0|a[4],$=8191&X,AA=X>>>13,eA=0|a[5],tA=8191&eA,rA=eA>>>13,nA=0|a[6],iA=8191&nA,oA=nA>>>13,aA=0|a[7],sA=8191&aA,uA=aA>>>13,gA=0|a[8],cA=8191&gA,BA=gA>>>13,lA=0|a[9],QA=8191&lA,IA=lA>>>13;t.negative=A.negative^e.negative,t.length=19;var dA=(u+(r=Math.imul(c,V))|0)+((8191&(n=(n=Math.imul(c,T))+Math.imul(B,V)|0))<<13)|0;u=((i=Math.imul(B,T))+(n>>>13)|0)+(dA>>>26)|0,dA&=67108863,r=Math.imul(Q,V),n=(n=Math.imul(Q,T))+Math.imul(I,V)|0,i=Math.imul(I,T);var hA=(u+(r=r+Math.imul(c,J)|0)|0)+((8191&(n=(n=n+Math.imul(c,O)|0)+Math.imul(B,J)|0))<<13)|0;u=((i=i+Math.imul(B,O)|0)+(n>>>13)|0)+(hA>>>26)|0,hA&=67108863,r=Math.imul(h,V),n=(n=Math.imul(h,T))+Math.imul(E,V)|0,i=Math.imul(E,T),r=r+Math.imul(Q,J)|0,n=(n=n+Math.imul(Q,O)|0)+Math.imul(I,J)|0,i=i+Math.imul(I,O)|0;var EA=(u+(r=r+Math.imul(c,j)|0)|0)+((8191&(n=(n=n+Math.imul(c,z)|0)+Math.imul(B,j)|0))<<13)|0;u=((i=i+Math.imul(B,z)|0)+(n>>>13)|0)+(EA>>>26)|0,EA&=67108863,r=Math.imul(C,V),n=(n=Math.imul(C,T))+Math.imul(p,V)|0,i=Math.imul(p,T),r=r+Math.imul(h,J)|0,n=(n=n+Math.imul(h,O)|0)+Math.imul(E,J)|0,i=i+Math.imul(E,O)|0,r=r+Math.imul(Q,j)|0,n=(n=n+Math.imul(Q,z)|0)+Math.imul(I,j)|0,i=i+Math.imul(I,z)|0;var fA=(u+(r=r+Math.imul(c,Z)|0)|0)+((8191&(n=(n=n+Math.imul(c,W)|0)+Math.imul(B,Z)|0))<<13)|0;u=((i=i+Math.imul(B,W)|0)+(n>>>13)|0)+(fA>>>26)|0,fA&=67108863,r=Math.imul(y,V),n=(n=Math.imul(y,T))+Math.imul(v,V)|0,i=Math.imul(v,T),r=r+Math.imul(C,J)|0,n=(n=n+Math.imul(C,O)|0)+Math.imul(p,J)|0,i=i+Math.imul(p,O)|0,r=r+Math.imul(h,j)|0,n=(n=n+Math.imul(h,z)|0)+Math.imul(E,j)|0,i=i+Math.imul(E,z)|0,r=r+Math.imul(Q,Z)|0,n=(n=n+Math.imul(Q,W)|0)+Math.imul(I,Z)|0,i=i+Math.imul(I,W)|0;var CA=(u+(r=r+Math.imul(c,$)|0)|0)+((8191&(n=(n=n+Math.imul(c,AA)|0)+Math.imul(B,$)|0))<<13)|0;u=((i=i+Math.imul(B,AA)|0)+(n>>>13)|0)+(CA>>>26)|0,CA&=67108863,r=Math.imul(b,V),n=(n=Math.imul(b,T))+Math.imul(w,V)|0,i=Math.imul(w,T),r=r+Math.imul(y,J)|0,n=(n=n+Math.imul(y,O)|0)+Math.imul(v,J)|0,i=i+Math.imul(v,O)|0,r=r+Math.imul(C,j)|0,n=(n=n+Math.imul(C,z)|0)+Math.imul(p,j)|0,i=i+Math.imul(p,z)|0,r=r+Math.imul(h,Z)|0,n=(n=n+Math.imul(h,W)|0)+Math.imul(E,Z)|0,i=i+Math.imul(E,W)|0,r=r+Math.imul(Q,$)|0,n=(n=n+Math.imul(Q,AA)|0)+Math.imul(I,$)|0,i=i+Math.imul(I,AA)|0;var pA=(u+(r=r+Math.imul(c,tA)|0)|0)+((8191&(n=(n=n+Math.imul(c,rA)|0)+Math.imul(B,tA)|0))<<13)|0;u=((i=i+Math.imul(B,rA)|0)+(n>>>13)|0)+(pA>>>26)|0,pA&=67108863,r=Math.imul(U,V),n=(n=Math.imul(U,T))+Math.imul(S,V)|0,i=Math.imul(S,T),r=r+Math.imul(b,J)|0,n=(n=n+Math.imul(b,O)|0)+Math.imul(w,J)|0,i=i+Math.imul(w,O)|0,r=r+Math.imul(y,j)|0,n=(n=n+Math.imul(y,z)|0)+Math.imul(v,j)|0,i=i+Math.imul(v,z)|0,r=r+Math.imul(C,Z)|0,n=(n=n+Math.imul(C,W)|0)+Math.imul(p,Z)|0,i=i+Math.imul(p,W)|0,r=r+Math.imul(h,$)|0,n=(n=n+Math.imul(h,AA)|0)+Math.imul(E,$)|0,i=i+Math.imul(E,AA)|0,r=r+Math.imul(Q,tA)|0,n=(n=n+Math.imul(Q,rA)|0)+Math.imul(I,tA)|0,i=i+Math.imul(I,rA)|0;var mA=(u+(r=r+Math.imul(c,iA)|0)|0)+((8191&(n=(n=n+Math.imul(c,oA)|0)+Math.imul(B,iA)|0))<<13)|0;u=((i=i+Math.imul(B,oA)|0)+(n>>>13)|0)+(mA>>>26)|0,mA&=67108863,r=Math.imul(R,V),n=(n=Math.imul(R,T))+Math.imul(H,V)|0,i=Math.imul(H,T),r=r+Math.imul(U,J)|0,n=(n=n+Math.imul(U,O)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,O)|0,r=r+Math.imul(b,j)|0,n=(n=n+Math.imul(b,z)|0)+Math.imul(w,j)|0,i=i+Math.imul(w,z)|0,r=r+Math.imul(y,Z)|0,n=(n=n+Math.imul(y,W)|0)+Math.imul(v,Z)|0,i=i+Math.imul(v,W)|0,r=r+Math.imul(C,$)|0,n=(n=n+Math.imul(C,AA)|0)+Math.imul(p,$)|0,i=i+Math.imul(p,AA)|0,r=r+Math.imul(h,tA)|0,n=(n=n+Math.imul(h,rA)|0)+Math.imul(E,tA)|0,i=i+Math.imul(E,rA)|0,r=r+Math.imul(Q,iA)|0,n=(n=n+Math.imul(Q,oA)|0)+Math.imul(I,iA)|0,i=i+Math.imul(I,oA)|0;var yA=(u+(r=r+Math.imul(c,sA)|0)|0)+((8191&(n=(n=n+Math.imul(c,uA)|0)+Math.imul(B,sA)|0))<<13)|0;u=((i=i+Math.imul(B,uA)|0)+(n>>>13)|0)+(yA>>>26)|0,yA&=67108863,r=Math.imul(M,V),n=(n=Math.imul(M,T))+Math.imul(L,V)|0,i=Math.imul(L,T),r=r+Math.imul(R,J)|0,n=(n=n+Math.imul(R,O)|0)+Math.imul(H,J)|0,i=i+Math.imul(H,O)|0,r=r+Math.imul(U,j)|0,n=(n=n+Math.imul(U,z)|0)+Math.imul(S,j)|0,i=i+Math.imul(S,z)|0,r=r+Math.imul(b,Z)|0,n=(n=n+Math.imul(b,W)|0)+Math.imul(w,Z)|0,i=i+Math.imul(w,W)|0,r=r+Math.imul(y,$)|0,n=(n=n+Math.imul(y,AA)|0)+Math.imul(v,$)|0,i=i+Math.imul(v,AA)|0,r=r+Math.imul(C,tA)|0,n=(n=n+Math.imul(C,rA)|0)+Math.imul(p,tA)|0,i=i+Math.imul(p,rA)|0,r=r+Math.imul(h,iA)|0,n=(n=n+Math.imul(h,oA)|0)+Math.imul(E,iA)|0,i=i+Math.imul(E,oA)|0,r=r+Math.imul(Q,sA)|0,n=(n=n+Math.imul(Q,uA)|0)+Math.imul(I,sA)|0,i=i+Math.imul(I,uA)|0;var vA=(u+(r=r+Math.imul(c,cA)|0)|0)+((8191&(n=(n=n+Math.imul(c,BA)|0)+Math.imul(B,cA)|0))<<13)|0;u=((i=i+Math.imul(B,BA)|0)+(n>>>13)|0)+(vA>>>26)|0,vA&=67108863,r=Math.imul(k,V),n=(n=Math.imul(k,T))+Math.imul(Y,V)|0,i=Math.imul(Y,T),r=r+Math.imul(M,J)|0,n=(n=n+Math.imul(M,O)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,O)|0,r=r+Math.imul(R,j)|0,n=(n=n+Math.imul(R,z)|0)+Math.imul(H,j)|0,i=i+Math.imul(H,z)|0,r=r+Math.imul(U,Z)|0,n=(n=n+Math.imul(U,W)|0)+Math.imul(S,Z)|0,i=i+Math.imul(S,W)|0,r=r+Math.imul(b,$)|0,n=(n=n+Math.imul(b,AA)|0)+Math.imul(w,$)|0,i=i+Math.imul(w,AA)|0,r=r+Math.imul(y,tA)|0,n=(n=n+Math.imul(y,rA)|0)+Math.imul(v,tA)|0,i=i+Math.imul(v,rA)|0,r=r+Math.imul(C,iA)|0,n=(n=n+Math.imul(C,oA)|0)+Math.imul(p,iA)|0,i=i+Math.imul(p,oA)|0,r=r+Math.imul(h,sA)|0,n=(n=n+Math.imul(h,uA)|0)+Math.imul(E,sA)|0,i=i+Math.imul(E,uA)|0,r=r+Math.imul(Q,cA)|0,n=(n=n+Math.imul(Q,BA)|0)+Math.imul(I,cA)|0,i=i+Math.imul(I,BA)|0;var DA=(u+(r=r+Math.imul(c,QA)|0)|0)+((8191&(n=(n=n+Math.imul(c,IA)|0)+Math.imul(B,QA)|0))<<13)|0;u=((i=i+Math.imul(B,IA)|0)+(n>>>13)|0)+(DA>>>26)|0,DA&=67108863,r=Math.imul(k,J),n=(n=Math.imul(k,O))+Math.imul(Y,J)|0,i=Math.imul(Y,O),r=r+Math.imul(M,j)|0,n=(n=n+Math.imul(M,z)|0)+Math.imul(L,j)|0,i=i+Math.imul(L,z)|0,r=r+Math.imul(R,Z)|0,n=(n=n+Math.imul(R,W)|0)+Math.imul(H,Z)|0,i=i+Math.imul(H,W)|0,r=r+Math.imul(U,$)|0,n=(n=n+Math.imul(U,AA)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,AA)|0,r=r+Math.imul(b,tA)|0,n=(n=n+Math.imul(b,rA)|0)+Math.imul(w,tA)|0,i=i+Math.imul(w,rA)|0,r=r+Math.imul(y,iA)|0,n=(n=n+Math.imul(y,oA)|0)+Math.imul(v,iA)|0,i=i+Math.imul(v,oA)|0,r=r+Math.imul(C,sA)|0,n=(n=n+Math.imul(C,uA)|0)+Math.imul(p,sA)|0,i=i+Math.imul(p,uA)|0,r=r+Math.imul(h,cA)|0,n=(n=n+Math.imul(h,BA)|0)+Math.imul(E,cA)|0,i=i+Math.imul(E,BA)|0;var bA=(u+(r=r+Math.imul(Q,QA)|0)|0)+((8191&(n=(n=n+Math.imul(Q,IA)|0)+Math.imul(I,QA)|0))<<13)|0;u=((i=i+Math.imul(I,IA)|0)+(n>>>13)|0)+(bA>>>26)|0,bA&=67108863,r=Math.imul(k,j),n=(n=Math.imul(k,z))+Math.imul(Y,j)|0,i=Math.imul(Y,z),r=r+Math.imul(M,Z)|0,n=(n=n+Math.imul(M,W)|0)+Math.imul(L,Z)|0,i=i+Math.imul(L,W)|0,r=r+Math.imul(R,$)|0,n=(n=n+Math.imul(R,AA)|0)+Math.imul(H,$)|0,i=i+Math.imul(H,AA)|0,r=r+Math.imul(U,tA)|0,n=(n=n+Math.imul(U,rA)|0)+Math.imul(S,tA)|0,i=i+Math.imul(S,rA)|0,r=r+Math.imul(b,iA)|0,n=(n=n+Math.imul(b,oA)|0)+Math.imul(w,iA)|0,i=i+Math.imul(w,oA)|0,r=r+Math.imul(y,sA)|0,n=(n=n+Math.imul(y,uA)|0)+Math.imul(v,sA)|0,i=i+Math.imul(v,uA)|0,r=r+Math.imul(C,cA)|0,n=(n=n+Math.imul(C,BA)|0)+Math.imul(p,cA)|0,i=i+Math.imul(p,BA)|0;var wA=(u+(r=r+Math.imul(h,QA)|0)|0)+((8191&(n=(n=n+Math.imul(h,IA)|0)+Math.imul(E,QA)|0))<<13)|0;u=((i=i+Math.imul(E,IA)|0)+(n>>>13)|0)+(wA>>>26)|0,wA&=67108863,r=Math.imul(k,Z),n=(n=Math.imul(k,W))+Math.imul(Y,Z)|0,i=Math.imul(Y,W),r=r+Math.imul(M,$)|0,n=(n=n+Math.imul(M,AA)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,AA)|0,r=r+Math.imul(R,tA)|0,n=(n=n+Math.imul(R,rA)|0)+Math.imul(H,tA)|0,i=i+Math.imul(H,rA)|0,r=r+Math.imul(U,iA)|0,n=(n=n+Math.imul(U,oA)|0)+Math.imul(S,iA)|0,i=i+Math.imul(S,oA)|0,r=r+Math.imul(b,sA)|0,n=(n=n+Math.imul(b,uA)|0)+Math.imul(w,sA)|0,i=i+Math.imul(w,uA)|0,r=r+Math.imul(y,cA)|0,n=(n=n+Math.imul(y,BA)|0)+Math.imul(v,cA)|0,i=i+Math.imul(v,BA)|0;var FA=(u+(r=r+Math.imul(C,QA)|0)|0)+((8191&(n=(n=n+Math.imul(C,IA)|0)+Math.imul(p,QA)|0))<<13)|0;u=((i=i+Math.imul(p,IA)|0)+(n>>>13)|0)+(FA>>>26)|0,FA&=67108863,r=Math.imul(k,$),n=(n=Math.imul(k,AA))+Math.imul(Y,$)|0,i=Math.imul(Y,AA),r=r+Math.imul(M,tA)|0,n=(n=n+Math.imul(M,rA)|0)+Math.imul(L,tA)|0,i=i+Math.imul(L,rA)|0,r=r+Math.imul(R,iA)|0,n=(n=n+Math.imul(R,oA)|0)+Math.imul(H,iA)|0,i=i+Math.imul(H,oA)|0,r=r+Math.imul(U,sA)|0,n=(n=n+Math.imul(U,uA)|0)+Math.imul(S,sA)|0,i=i+Math.imul(S,uA)|0,r=r+Math.imul(b,cA)|0,n=(n=n+Math.imul(b,BA)|0)+Math.imul(w,cA)|0,i=i+Math.imul(w,BA)|0;var UA=(u+(r=r+Math.imul(y,QA)|0)|0)+((8191&(n=(n=n+Math.imul(y,IA)|0)+Math.imul(v,QA)|0))<<13)|0;u=((i=i+Math.imul(v,IA)|0)+(n>>>13)|0)+(UA>>>26)|0,UA&=67108863,r=Math.imul(k,tA),n=(n=Math.imul(k,rA))+Math.imul(Y,tA)|0,i=Math.imul(Y,rA),r=r+Math.imul(M,iA)|0,n=(n=n+Math.imul(M,oA)|0)+Math.imul(L,iA)|0,i=i+Math.imul(L,oA)|0,r=r+Math.imul(R,sA)|0,n=(n=n+Math.imul(R,uA)|0)+Math.imul(H,sA)|0,i=i+Math.imul(H,uA)|0,r=r+Math.imul(U,cA)|0,n=(n=n+Math.imul(U,BA)|0)+Math.imul(S,cA)|0,i=i+Math.imul(S,BA)|0;var SA=(u+(r=r+Math.imul(b,QA)|0)|0)+((8191&(n=(n=n+Math.imul(b,IA)|0)+Math.imul(w,QA)|0))<<13)|0;u=((i=i+Math.imul(w,IA)|0)+(n>>>13)|0)+(SA>>>26)|0,SA&=67108863,r=Math.imul(k,iA),n=(n=Math.imul(k,oA))+Math.imul(Y,iA)|0,i=Math.imul(Y,oA),r=r+Math.imul(M,sA)|0,n=(n=n+Math.imul(M,uA)|0)+Math.imul(L,sA)|0,i=i+Math.imul(L,uA)|0,r=r+Math.imul(R,cA)|0,n=(n=n+Math.imul(R,BA)|0)+Math.imul(H,cA)|0,i=i+Math.imul(H,BA)|0;var NA=(u+(r=r+Math.imul(U,QA)|0)|0)+((8191&(n=(n=n+Math.imul(U,IA)|0)+Math.imul(S,QA)|0))<<13)|0;u=((i=i+Math.imul(S,IA)|0)+(n>>>13)|0)+(NA>>>26)|0,NA&=67108863,r=Math.imul(k,sA),n=(n=Math.imul(k,uA))+Math.imul(Y,sA)|0,i=Math.imul(Y,uA),r=r+Math.imul(M,cA)|0,n=(n=n+Math.imul(M,BA)|0)+Math.imul(L,cA)|0,i=i+Math.imul(L,BA)|0;var RA=(u+(r=r+Math.imul(R,QA)|0)|0)+((8191&(n=(n=n+Math.imul(R,IA)|0)+Math.imul(H,QA)|0))<<13)|0;u=((i=i+Math.imul(H,IA)|0)+(n>>>13)|0)+(RA>>>26)|0,RA&=67108863,r=Math.imul(k,cA),n=(n=Math.imul(k,BA))+Math.imul(Y,cA)|0,i=Math.imul(Y,BA);var HA=(u+(r=r+Math.imul(M,QA)|0)|0)+((8191&(n=(n=n+Math.imul(M,IA)|0)+Math.imul(L,QA)|0))<<13)|0;u=((i=i+Math.imul(L,IA)|0)+(n>>>13)|0)+(HA>>>26)|0,HA&=67108863;var GA=(u+(r=Math.imul(k,QA))|0)+((8191&(n=(n=Math.imul(k,IA))+Math.imul(Y,QA)|0))<<13)|0;return u=((i=Math.imul(Y,IA))+(n>>>13)|0)+(GA>>>26)|0,GA&=67108863,s[0]=dA,s[1]=hA,s[2]=EA,s[3]=fA,s[4]=CA,s[5]=pA,s[6]=mA,s[7]=yA,s[8]=vA,s[9]=DA,s[10]=bA,s[11]=wA,s[12]=FA,s[13]=UA,s[14]=SA,s[15]=NA,s[16]=RA,s[17]=HA,s[18]=GA,0!==u&&(s[19]=u,t.length++),t};function h(A,e,t){t.negative=e.negative^A.negative,t.length=A.length+e.length;for(var r=0,n=0,i=0;i<t.length-1;i++){var o=n;n=0;for(var a=67108863&r,s=Math.min(i,e.length-1),u=Math.max(0,i-A.length+1);u<=s;u++){var g=i-u,c=(0|A.words[g])*(0|e.words[u]),B=67108863&c;a=67108863&(B=B+a|0),n+=(o=(o=o+(c/67108864|0)|0)+(B>>>26)|0)>>>26,o&=67108863}t.words[i]=a,r=o,o=n}return 0!==r?t.words[i]=r:t.length--,t._strip()}function E(A,e,t){return h(A,e,t)}function f(A,e){this.x=A,this.y=e}Math.imul||(d=I),i.prototype.mulTo=function(A,e){var t=this.length+A.length;return 10===this.length&&10===A.length?d(this,A,e):t<63?I(this,A,e):t<1024?h(this,A,e):E(this,A,e)},f.prototype.makeRBT=function(A){for(var e=new Array(A),t=i.prototype._countBits(A)-1,r=0;r<A;r++)e[r]=this.revBin(r,t,A);return e},f.prototype.revBin=function(A,e,t){if(0===A||A===t-1)return A;for(var r=0,n=0;n<e;n++)r|=(1&A)<<e-n-1,A>>=1;return r},f.prototype.permute=function(A,e,t,r,n,i){for(var o=0;o<i;o++)r[o]=e[A[o]],n[o]=t[A[o]]},f.prototype.transform=function(A,e,t,r,n,i){this.permute(i,A,e,t,r,n);for(var o=1;o<n;o<<=1)for(var a=o<<1,s=Math.cos(2*Math.PI/a),u=Math.sin(2*Math.PI/a),g=0;g<n;g+=a)for(var c=s,B=u,l=0;l<o;l++){var Q=t[g+l],I=r[g+l],d=t[g+l+o],h=r[g+l+o],E=c*d-B*h;h=c*h+B*d,d=E,t[g+l]=Q+d,r[g+l]=I+h,t[g+l+o]=Q-d,r[g+l+o]=I-h,l!==a&&(E=s*c-u*B,B=s*B+u*c,c=E)}},f.prototype.guessLen13b=function(A,e){var t=1|Math.max(e,A),r=1&t,n=0;for(t=t/2|0;t;t>>>=1)n++;return 1<<n+1+r},f.prototype.conjugate=function(A,e,t){if(!(t<=1))for(var r=0;r<t/2;r++){var n=A[r];A[r]=A[t-r-1],A[t-r-1]=n,n=e[r],e[r]=-e[t-r-1],e[t-r-1]=-n}},f.prototype.normalize13b=function(A,e){for(var t=0,r=0;r<e/2;r++){var n=8192*Math.round(A[2*r+1]/e)+Math.round(A[2*r]/e)+t;A[r]=67108863&n,t=n<67108864?0:n/67108864|0}return A},f.prototype.convert13b=function(A,e,t,n){for(var i=0,o=0;o<e;o++)i+=0|A[o],t[2*o]=8191&i,i>>>=13,t[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<n;++o)t[o]=0;r(0===i),r(0==(-8192&i))},f.prototype.stub=function(A){for(var e=new Array(A),t=0;t<A;t++)e[t]=0;return e},f.prototype.mulp=function(A,e,t){var r=2*this.guessLen13b(A.length,e.length),n=this.makeRBT(r),i=this.stub(r),o=new Array(r),a=new Array(r),s=new Array(r),u=new Array(r),g=new Array(r),c=new Array(r),B=t.words;B.length=r,this.convert13b(A.words,A.length,o,r),this.convert13b(e.words,e.length,u,r),this.transform(o,i,a,s,r,n),this.transform(u,i,g,c,r,n);for(var l=0;l<r;l++){var Q=a[l]*g[l]-s[l]*c[l];s[l]=a[l]*c[l]+s[l]*g[l],a[l]=Q}return this.conjugate(a,s,r),this.transform(a,s,B,i,r,n),this.conjugate(B,i,r),this.normalize13b(B,r),t.negative=A.negative^e.negative,t.length=A.length+e.length,t._strip()},i.prototype.mul=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),this.mulTo(A,e)},i.prototype.mulf=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),E(this,A,e)},i.prototype.imul=function(A){return this.clone().mulTo(A,this)},i.prototype.imuln=function(A){var e=A<0;e&&(A=-A),r("number"==typeof A),r(A<67108864);for(var t=0,n=0;n<this.length;n++){var i=(0|this.words[n])*A,o=(67108863&i)+(67108863&t);t>>=26,t+=i/67108864|0,t+=o>>>26,this.words[n]=67108863&o}return 0!==t&&(this.words[n]=t,this.length++),e?this.ineg():this},i.prototype.muln=function(A){return this.clone().imuln(A)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(A){var e=function(A){for(var e=new Array(A.bitLength()),t=0;t<e.length;t++){var r=t/26|0,n=t%26;e[t]=A.words[r]>>>n&1}return e}(A);if(0===e.length)return new i(1);for(var t=this,r=0;r<e.length&&0===e[r];r++,t=t.sqr());if(++r<e.length)for(var 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c=0|this.words[u];this.words[u]=g<<26-i|c>>>i,g=c&a}return s&&0!==g&&(s.words[s.length++]=g),0===this.length&&(this.words[0]=0,this.length=1),this._strip()},i.prototype.ishrn=function(A,e,t){return r(0===this.negative),this.iushrn(A,e,t)},i.prototype.shln=function(A){return this.clone().ishln(A)},i.prototype.ushln=function(A){return this.clone().iushln(A)},i.prototype.shrn=function(A){return this.clone().ishrn(A)},i.prototype.ushrn=function(A){return this.clone().iushrn(A)},i.prototype.testn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26,n=1<<e;return!(this.length<=t||!(this.words[t]&n))},i.prototype.imaskn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=t)return this;if(0!==e&&t++,this.length=Math.min(t,this.length),0!==e){var n=67108863^67108863>>>e<<e;this.words[this.length-1]&=n}return this._strip()},i.prototype.maskn=function(A){return this.clone().imaskn(A)},i.prototype.iaddn=function(A){return r("number"==typeof A),r(A<67108864),A<0?this.isubn(-A):0!==this.negative?1===this.length&&(0|this.words[0])<=A?(this.words[0]=A-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(A),this.negative=1,this):this._iaddn(A)},i.prototype._iaddn=function(A){this.words[0]+=A;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(A){if(r("number"==typeof A),r(A<67108864),A<0)return this.iaddn(-A);if(0!==this.negative)return this.negative=0,this.iaddn(A),this.negative=1,this;if(this.words[0]-=A,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this._strip()},i.prototype.addn=function(A){return this.clone().iaddn(A)},i.prototype.subn=function(A){return this.clone().isubn(A)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(A,e,t){var n,i,o=A.length+t;this._expand(o);var a=0;for(n=0;n<A.length;n++){i=(0|this.words[n+t])+a;var s=(0|A.words[n])*e;a=((i-=67108863&s)>>26)-(s/67108864|0),this.words[n+t]=67108863&i}for(;n<this.length-t;n++)a=(i=(0|this.words[n+t])+a)>>26,this.words[n+t]=67108863&i;if(0===a)return this._strip();for(r(-1===a),a=0,n=0;n<this.length;n++)a=(i=-(0|this.words[n])+a)>>26,this.words[n]=67108863&i;return this.negative=1,this._strip()},i.prototype._wordDiv=function(A,e){var t=(this.length,A.length),r=this.clone(),n=A,o=0|n.words[n.length-1];0!=(t=26-this._countBits(o))&&(n=n.ushln(t),r.iushln(t),o=0|n.words[n.length-1]);var a,s=r.length-n.length;if("mod"!==e){(a=new i(null)).length=s+1,a.words=new Array(a.length);for(var u=0;u<a.length;u++)a.words[u]=0}var g=r.clone()._ishlnsubmul(n,1,s);0===g.negative&&(r=g,a&&(a.words[s]=1));for(var c=s-1;c>=0;c--){var B=67108864*(0|r.words[n.length+c])+(0|r.words[n.length+c-1]);for(B=Math.min(B/o|0,67108863),r._ishlnsubmul(n,B,c);0!==r.negative;)B--,r.negative=0,r._ishlnsubmul(n,1,c),r.isZero()||(r.negative^=1);a&&(a.words[c]=B)}return a&&a._strip(),r._strip(),"div"!==e&&0!==t&&r.iushrn(t),{div:a||null,mod:r}},i.prototype.divmod=function(A,e,t){return r(!A.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===A.negative?(a=this.neg().divmod(A,e),"mod"!==e&&(n=a.div.neg()),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.iadd(A)),{div:n,mod:o}):0===this.negative&&0!==A.negative?(a=this.divmod(A.neg(),e),"mod"!==e&&(n=a.div.neg()),{div:n,mod:a.mod}):0!=(this.negative&A.negative)?(a=this.neg().divmod(A.neg(),e),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.isub(A)),{div:a.div,mod:o}):A.length>this.length||this.cmp(A)<0?{div:new i(0),mod:this}:1===A.length?"div"===e?{div:this.divn(A.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modrn(A.words[0]))}:{div:this.divn(A.words[0]),mod:new i(this.modrn(A.words[0]))}:this._wordDiv(A,e);var n,o,a},i.prototype.div=function(A){return this.divmod(A,"div",!1).div},i.prototype.mod=function(A){return this.divmod(A,"mod",!1).mod},i.prototype.umod=function(A){return this.divmod(A,"mod",!0).mod},i.prototype.divRound=function(A){var e=this.divmod(A);if(e.mod.isZero())return e.div;var t=0!==e.div.negative?e.mod.isub(A):e.mod,r=A.ushrn(1),n=A.andln(1),i=t.cmp(r);return i<0||1===n&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modrn=function(A){var e=A<0;e&&(A=-A),r(A<=67108863);for(var t=(1<<26)%A,n=0,i=this.length-1;i>=0;i--)n=(t*n+(0|this.words[i]))%A;return e?-n:n},i.prototype.modn=function(A){return this.modrn(A)},i.prototype.idivn=function(A){var e=A<0;e&&(A=-A),r(A<=67108863);for(var t=0,n=this.length-1;n>=0;n--){var i=(0|this.words[n])+67108864*t;this.words[n]=i/A|0,t=i%A}return this._strip(),e?this.ineg():this},i.prototype.divn=function(A){return this.clone().idivn(A)},i.prototype.egcd=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n=new i(1),o=new i(0),a=new i(0),s=new i(1),u=0;e.isEven()&&t.isEven();)e.iushrn(1),t.iushrn(1),++u;for(var g=t.clone(),c=e.clone();!e.isZero();){for(var B=0,l=1;0==(e.words[0]&l)&&B<26;++B,l<<=1);if(B>0)for(e.iushrn(B);B-- >0;)(n.isOdd()||o.isOdd())&&(n.iadd(g),o.isub(c)),n.iushrn(1),o.iushrn(1);for(var Q=0,I=1;0==(t.words[0]&I)&&Q<26;++Q,I<<=1);if(Q>0)for(t.iushrn(Q);Q-- >0;)(a.isOdd()||s.isOdd())&&(a.iadd(g),s.isub(c)),a.iushrn(1),s.iushrn(1);e.cmp(t)>=0?(e.isub(t),n.isub(a),o.isub(s)):(t.isub(e),a.isub(n),s.isub(o))}return{a,b:s,gcd:t.iushln(u)}},i.prototype._invmp=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n,o=new i(1),a=new i(0),s=t.clone();e.cmpn(1)>0&&t.cmpn(1)>0;){for(var u=0,g=1;0==(e.words[0]&g)&&u<26;++u,g<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);for(var c=0,B=1;0==(t.words[0]&B)&&c<26;++c,B<<=1);if(c>0)for(t.iushrn(c);c-- >0;)a.isOdd()&&a.iadd(s),a.iushrn(1);e.cmp(t)>=0?(e.isub(t),o.isub(a)):(t.isub(e),a.isub(o))}return(n=0===e.cmpn(1)?o:a).cmpn(0)<0&&n.iadd(A),n},i.prototype.gcd=function(A){if(this.isZero())return A.abs();if(A.isZero())return this.abs();var e=this.clone(),t=A.clone();e.negative=0,t.negative=0;for(var r=0;e.isEven()&&t.isEven();r++)e.iushrn(1),t.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;t.isEven();)t.iushrn(1);var n=e.cmp(t);if(n<0){var i=e;e=t,t=i}else if(0===n||0===t.cmpn(1))break;e.isub(t)}return t.iushln(r)},i.prototype.invm=function(A){return this.egcd(A).a.umod(A)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(A){return 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c=u>>g&1;n!==t[0]&&(n=this.sqr(n)),0!==c||0!==o?(o<<=1,o|=c,(4==++a||0===r&&0===g)&&(n=this.mul(n,t[o]),a=0,o=0)):a=0}s=26}return n},b.prototype.convertTo=function(A){var e=A.umod(this.m);return e===A?e.clone():e},b.prototype.convertFrom=function(A){var e=A.clone();return e.red=null,e},i.mont=function(A){return new w(A)},n(w,b),w.prototype.convertTo=function(A){return this.imod(A.ushln(this.shift))},w.prototype.convertFrom=function(A){var e=this.imod(A.mul(this.rinv));return e.red=null,e},w.prototype.imul=function(A,e){if(A.isZero()||e.isZero())return A.words[0]=0,A.length=1,A;var t=A.imul(e),r=t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),n=t.isub(r).iushrn(this.shift),i=n;return n.cmp(this.m)>=0?i=n.isub(this.m):n.cmpn(0)<0&&(i=n.iadd(this.m)),i._forceRed(this)},w.prototype.mul=function(A,e){if(A.isZero()||e.isZero())return new i(0)._forceRed(this);var 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u(A){this._key=n(A),this._reset()}u.blockSize=16,u.keySize=32,u.prototype.blockSize=u.blockSize,u.prototype.keySize=u.keySize,u.prototype._reset=function(){for(var A=this._key,e=A.length,t=e+6,r=4*(t+1),n=[],i=0;i<e;i++)n[i]=A[i];for(i=e;i<r;i++){var o=n[i-1];i%e==0?(o=o<<8|o>>>24,o=s.SBOX[o>>>24]<<24|s.SBOX[o>>>16&255]<<16|s.SBOX[o>>>8&255]<<8|s.SBOX[255&o],o^=a[i/e|0]<<24):e>6&&i%e==4&&(o=s.SBOX[o>>>24]<<24|s.SBOX[o>>>16&255]<<16|s.SBOX[o>>>8&255]<<8|s.SBOX[255&o]),n[i]=n[i-e]^o}for(var u=[],g=0;g<r;g++){var c=r-g,B=n[c-(g%4?0:4)];u[g]=g<4||c<=4?B:s.INV_SUB_MIX[0][s.SBOX[B>>>24]]^s.INV_SUB_MIX[1][s.SBOX[B>>>16&255]]^s.INV_SUB_MIX[2][s.SBOX[B>>>8&255]]^s.INV_SUB_MIX[3][s.SBOX[255&B]]}this._nRounds=t,this._keySchedule=n,this._invKeySchedule=u},u.prototype.encryptBlockRaw=function(A){return o(A=n(A),this._keySchedule,s.SUB_MIX,s.SBOX,this._nRounds)},u.prototype.encryptBlock=function(A){var e=this.encryptBlockRaw(A),t=r.allocUnsafe(16);return t.writeUInt32BE(e[0],0),t.writeUInt32BE(e[1],4),t.writeUInt32BE(e[2],8),t.writeUInt32BE(e[3],12),t},u.prototype.decryptBlock=function(A){var e=(A=n(A))[1];A[1]=A[3],A[3]=e;var t=o(A,this._invKeySchedule,s.INV_SUB_MIX,s.INV_SBOX,this._nRounds),i=r.allocUnsafe(16);return i.writeUInt32BE(t[0],0),i.writeUInt32BE(t[3],4),i.writeUInt32BE(t[2],8),i.writeUInt32BE(t[1],12),i},u.prototype.scrub=function(){i(this._keySchedule),i(this._invKeySchedule),i(this._key)},A.exports.AES=u},2422:(A,e,t)=>{var r=t(4497),n=t(9509).Buffer,i=t(1027),o=t(5717),a=t(3288),s=t(7295),u=t(685);function g(A,e,t,o){i.call(this);var s=n.alloc(4,0);this._cipher=new r.AES(e);var g=this._cipher.encryptBlock(s);this._ghash=new a(g),t=function(A,e,t){if(12===e.length)return A._finID=n.concat([e,n.from([0,0,0,1])]),n.concat([e,n.from([0,0,0,2])]);var r=new a(t),i=e.length,o=i%16;r.update(e),o&&(o=16-o,r.update(n.alloc(o,0))),r.update(n.alloc(8,0));var s=8*i,g=n.alloc(8);g.writeUIntBE(s,0,8),r.update(g),A._finID=r.state;var c=n.from(A._finID);return u(c),c}(this,t,g),this._prev=n.from(t),this._cache=n.allocUnsafe(0),this._secCache=n.allocUnsafe(0),this._decrypt=o,this._alen=0,this._len=0,this._mode=A,this._authTag=null,this._called=!1}o(g,i),g.prototype._update=function(A){if(!this._called&&this._alen){var e=16-this._alen%16;e<16&&(e=n.alloc(e,0),this._ghash.update(e))}this._called=!0;var t=this._mode.encrypt(this,A);return this._decrypt?this._ghash.update(A):this._ghash.update(t),this._len+=A.length,t},g.prototype._final=function(){if(this._decrypt&&!this._authTag)throw new Error("Unsupported state or unable to authenticate data");var A=s(this._ghash.final(8*this._alen,8*this._len),this._cipher.encryptBlock(this._finID));if(this._decrypt&&function(A,e){var t=0;A.length!==e.length&&t++;for(var r=Math.min(A.length,e.length),n=0;n<r;++n)t+=A[n]^e[n];return t}(A,this._authTag))throw new Error("Unsupported state or unable to authenticate 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A.slice(0,16-e)}(this._mode.decrypt(this,A));if(A)throw new Error("data not multiple of block length")},g.prototype.setAutoPadding=function(A){return this._autopadding=!!A,this},c.prototype.add=function(A){this.cache=n.concat([this.cache,A])},c.prototype.get=function(A){var e;if(A){if(this.cache.length>16)return e=this.cache.slice(0,16),this.cache=this.cache.slice(16),e}else if(this.cache.length>=16)return e=this.cache.slice(0,16),this.cache=this.cache.slice(16),e;return null},c.prototype.flush=function(){if(this.cache.length)return this.cache},e.createDecipher=function(A,e){var t=i[A.toLowerCase()];if(!t)throw new TypeError("invalid suite type");var r=u(e,!1,t.key,t.iv);return B(A,r.key,r.iv)},e.createDecipheriv=B},1494:(A,e,t)=>{var r=t(45),n=t(2422),i=t(9509).Buffer,o=t(5969),a=t(1027),s=t(4497),u=t(3048);function g(A,e,t){a.call(this),this._cache=new B,this._cipher=new s.AES(e),this._prev=i.from(t),this._mode=A,this._autopadding=!0}t(5717)(g,a),g.prototype._update=function(A){var e,t;this._cache.add(A);for(var r=[];e=this._cache.get();)t=this._mode.encrypt(this,e),r.push(t);return i.concat(r)};var c=i.alloc(16,16);function B(){this.cache=i.allocUnsafe(0)}function l(A,e,t){var a=r[A.toLowerCase()];if(!a)throw new TypeError("invalid suite type");if("string"==typeof e&&(e=i.from(e)),e.length!==a.key/8)throw new TypeError("invalid key length "+e.length);if("string"==typeof t&&(t=i.from(t)),"GCM"!==a.mode&&t.length!==a.iv)throw new TypeError("invalid iv length "+t.length);return"stream"===a.type?new o(a.module,e,t):"auth"===a.type?new n(a.module,e,t):new g(a.module,e,t)}g.prototype._final=function(){var A=this._cache.flush();if(this._autopadding)return A=this._mode.encrypt(this,A),this._cipher.scrub(),A;if(!A.equals(c))throw this._cipher.scrub(),new Error("data not multiple of block length")},g.prototype.setAutoPadding=function(A){return this._autopadding=!!A,this},B.prototype.add=function(A){this.cache=i.concat([this.cache,A])},B.prototype.get=function(){if(this.cache.length>15){var A=this.cache.slice(0,16);return this.cache=this.cache.slice(16),A}return null},B.prototype.flush=function(){for(var A=16-this.cache.length,e=i.allocUnsafe(A),t=-1;++t<A;)e.writeUInt8(A,t);return i.concat([this.cache,e])},e.createCipheriv=l,e.createCipher=function(A,e){var t=r[A.toLowerCase()];if(!t)throw new TypeError("invalid suite type");var n=u(e,!1,t.key,t.iv);return l(A,n.key,n.iv)}},3288:(A,e,t)=>{var r=t(9509).Buffer,n=r.alloc(16,0);function i(A){var e=r.allocUnsafe(16);return e.writeUInt32BE(A[0]>>>0,0),e.writeUInt32BE(A[1]>>>0,4),e.writeUInt32BE(A[2]>>>0,8),e.writeUInt32BE(A[3]>>>0,12),e}function o(A){this.h=A,this.state=r.alloc(16,0),this.cache=r.allocUnsafe(0)}o.prototype.ghash=function(A){for(var e=-1;++e<A.length;)this.state[e]^=A[e];this._multiply()},o.prototype._multiply=function(){for(var A,e,t,r=[(A=this.h).readUInt32BE(0),A.readUInt32BE(4),A.readUInt32BE(8),A.readUInt32BE(12)],n=[0,0,0,0],o=-1;++o<128;){for(0!=(this.state[~~(o/8)]&1<<7-o%8)&&(n[0]^=r[0],n[1]^=r[1],n[2]^=r[2],n[3]^=r[3]),t=0!=(1&r[3]),e=3;e>0;e--)r[e]=r[e]>>>1|(1&r[e-1])<<31;r[0]=r[0]>>>1,t&&(r[0]=r[0]^225<<24)}this.state=i(n)},o.prototype.update=function(A){var e;for(this.cache=r.concat([this.cache,A]);this.cache.length>=16;)e=this.cache.slice(0,16),this.cache=this.cache.slice(16),this.ghash(e)},o.prototype.final=function(A,e){return this.cache.length&&this.ghash(r.concat([this.cache,n],16)),this.ghash(i([0,A,0,e])),this.state},A.exports=o},685:A=>{A.exports=function(A){for(var e,t=A.length;t--;){if(255!==(e=A.readUInt8(t))){e++,A.writeUInt8(e,t);break}A.writeUInt8(0,t)}}},5292:(A,e,t)=>{var r=t(7295);e.encrypt=function(A,e){var t=r(e,A._prev);return A._prev=A._cipher.encryptBlock(t),A._prev},e.decrypt=function(A,e){var t=A._prev;A._prev=e;var n=A._cipher.decryptBlock(e);return r(n,t)}},6311:(A,e,t)=>{var r=t(9509).Buffer,n=t(7295);function i(A,e,t){var i=e.length,o=n(e,A._cache);return A._cache=A._cache.slice(i),A._prev=r.concat([A._prev,t?e:o]),o}e.encrypt=function(A,e,t){for(var n,o=r.allocUnsafe(0);e.length;){if(0===A._cache.length&&(A._cache=A._cipher.encryptBlock(A._prev),A._prev=r.allocUnsafe(0)),!(A._cache.length<=e.length)){o=r.concat([o,i(A,e,t)]);break}n=A._cache.length,o=r.concat([o,i(A,e.slice(0,n),t)]),e=e.slice(n)}return o}},1510:(A,e,t)=>{var r=t(9509).Buffer;function n(A,e,t){for(var r,n,o=-1,a=0;++o<8;)r=e&1<<7-o?128:0,a+=(128&(n=A._cipher.encryptBlock(A._prev)[0]^r))>>o%8,A._prev=i(A._prev,t?r:n);return a}function i(A,e){var t=A.length,n=-1,i=r.allocUnsafe(A.length);for(A=r.concat([A,r.from([e])]);++n<t;)i[n]=A[n]<<1|A[n+1]>>7;return i}e.encrypt=function(A,e,t){for(var i=e.length,o=r.allocUnsafe(i),a=-1;++a<i;)o[a]=n(A,e[a],t);return o}},1964:(A,e,t)=>{var r=t(9509).Buffer;function n(A,e,t){var n=A._cipher.encryptBlock(A._prev)[0]^e;return A._prev=r.concat([A._prev.slice(1),r.from([t?e:n])]),n}e.encrypt=function(A,e,t){for(var i=e.length,o=r.allocUnsafe(i),a=-1;++a<i;)o[a]=n(A,e[a],t);return o}},6009:(A,e,t)=>{var r=t(7295),n=t(9509).Buffer,i=t(685);function o(A){var e=A._cipher.encryptBlockRaw(A._prev);return i(A._prev),e}e.encrypt=function(A,e){var t=Math.ceil(e.length/16),i=A._cache.length;A._cache=n.concat([A._cache,n.allocUnsafe(16*t)]);for(var a=0;a<t;a++){var s=o(A),u=i+16*a;A._cache.writeUInt32BE(s[0],u+0),A._cache.writeUInt32BE(s[1],u+4),A._cache.writeUInt32BE(s[2],u+8),A._cache.writeUInt32BE(s[3],u+12)}var g=A._cache.slice(0,e.length);return A._cache=A._cache.slice(e.length),r(e,g)}},1084:(A,e)=>{e.encrypt=function(A,e){return A._cipher.encryptBlock(e)},e.decrypt=function(A,e){return A._cipher.decryptBlock(e)}},45:(A,e,t)=>{var r={ECB:t(1084),CBC:t(5292),CFB:t(6311),CFB8:t(1964),CFB1:t(1510),OFB:t(8861),CTR:t(6009),GCM:t(6009)},n=t(4946);for(var i in n)n[i].module=r[n[i].mode];A.exports=n},8861:(A,e,t)=>{var r=t(7295);function n(A){return A._prev=A._cipher.encryptBlock(A._prev),A._prev}e.encrypt=function(A,e){for(;A._cache.length<e.length;)A._cache=Buffer.concat([A._cache,n(A)]);var t=A._cache.slice(0,e.length);return A._cache=A._cache.slice(e.length),r(e,t)}},5969:(A,e,t)=>{var r=t(4497),n=t(9509).Buffer,i=t(1027);function o(A,e,t,o){i.call(this),this._cipher=new r.AES(e),this._prev=n.from(t),this._cache=n.allocUnsafe(0),this._secCache=n.allocUnsafe(0),this._decrypt=o,this._mode=A}t(5717)(o,i),o.prototype._update=function(A){return this._mode.encrypt(this,A,this._decrypt)},o.prototype._final=function(){this._cipher.scrub()},A.exports=o},3614:(A,e,t)=>{var r=t(7667),n=t(4696),i=t(45),o=t(9715),a=t(3048);function s(A,e,t){if(A=A.toLowerCase(),i[A])return n.createCipheriv(A,e,t);if(o[A])return new r({key:e,iv:t,mode:A});throw new TypeError("invalid suite type")}function u(A,e,t){if(A=A.toLowerCase(),i[A])return n.createDecipheriv(A,e,t);if(o[A])return new r({key:e,iv:t,mode:A,decrypt:!0});throw new TypeError("invalid suite type")}e.createCipher=e.Cipher=function(A,e){var t,r;if(A=A.toLowerCase(),i[A])t=i[A].key,r=i[A].iv;else{if(!o[A])throw new TypeError("invalid suite type");t=8*o[A].key,r=o[A].iv}var n=a(e,!1,t,r);return s(A,n.key,n.iv)},e.createCipheriv=e.Cipheriv=s,e.createDecipher=e.Decipher=function(A,e){var t,r;if(A=A.toLowerCase(),i[A])t=i[A].key,r=i[A].iv;else{if(!o[A])throw new TypeError("invalid suite type");t=8*o[A].key,r=o[A].iv}var n=a(e,!1,t,r);return u(A,n.key,n.iv)},e.createDecipheriv=e.Decipheriv=u,e.listCiphers=e.getCiphers=function(){return Object.keys(o).concat(n.getCiphers())}},7667:(A,e,t)=>{var r=t(1027),n=t(9540),i=t(5717),o=t(9509).Buffer,a={"des-ede3-cbc":n.CBC.instantiate(n.EDE),"des-ede3":n.EDE,"des-ede-cbc":n.CBC.instantiate(n.EDE),"des-ede":n.EDE,"des-cbc":n.CBC.instantiate(n.DES),"des-ecb":n.DES};function s(A){r.call(this);var e,t=A.mode.toLowerCase(),n=a[t];e=A.decrypt?"decrypt":"encrypt";var i=A.key;o.isBuffer(i)||(i=o.from(i)),"des-ede"!==t&&"des-ede-cbc"!==t||(i=o.concat([i,i.slice(0,8)]));var s=A.iv;o.isBuffer(s)||(s=o.from(s)),this._des=n.create({key:i,iv:s,type:e})}a.des=a["des-cbc"],a.des3=a["des-ede3-cbc"],A.exports=s,i(s,r),s.prototype._update=function(A){return o.from(this._des.update(A))},s.prototype._final=function(){return o.from(this._des.final())}},9715:(A,e)=>{e["des-ecb"]={key:8,iv:0},e["des-cbc"]=e.des={key:8,iv:8},e["des-ede3-cbc"]=e.des3={key:24,iv:8},e["des-ede3"]={key:24,iv:0},e["des-ede-cbc"]={key:16,iv:8},e["des-ede"]={key:16,iv:0}},3663:(A,e,t)=>{var r=t(3550),n=t(1798);function i(A){var e,t=A.modulus.byteLength();do{e=new r(n(t))}while(e.cmp(A.modulus)>=0||!e.umod(A.prime1)||!e.umod(A.prime2));return e}function o(A,e){var t=function(A){var e=i(A);return{blinder:e.toRed(r.mont(A.modulus)).redPow(new r(A.publicExponent)).fromRed(),unblinder:e.invm(A.modulus)}}(e),n=e.modulus.byteLength(),o=new r(A).mul(t.blinder).umod(e.modulus),a=o.toRed(r.mont(e.prime1)),s=o.toRed(r.mont(e.prime2)),u=e.coefficient,g=e.prime1,c=e.prime2,B=a.redPow(e.exponent1).fromRed(),l=s.redPow(e.exponent2).fromRed(),Q=B.isub(l).imul(u).umod(g).imul(c);return l.iadd(Q).imul(t.unblinder).umod(e.modulus).toArrayLike(Buffer,"be",n)}o.getr=i,A.exports=o},6042:(A,e,t)=>{A.exports=t(5207)},4743:(A,e,t)=>{var r=t(5679).Buffer,n=t(3482),i=t(8473),o=t(5717),a=t(2957),s=t(7753),u=t(5207);function g(A){i.Writable.call(this);var e=u[A];if(!e)throw new Error("Unknown message digest");this._hashType=e.hash,this._hash=n(e.hash),this._tag=e.id,this._signType=e.sign}function c(A){i.Writable.call(this);var e=u[A];if(!e)throw new Error("Unknown message digest");this._hash=n(e.hash),this._tag=e.id,this._signType=e.sign}function B(A){return new g(A)}function l(A){return new c(A)}Object.keys(u).forEach((function(A){u[A].id=r.from(u[A].id,"hex"),u[A.toLowerCase()]=u[A]})),o(g,i.Writable),g.prototype._write=function(A,e,t){this._hash.update(A),t()},g.prototype.update=function(A,e){return"string"==typeof A&&(A=r.from(A,e)),this._hash.update(A),this},g.prototype.sign=function(A,e){this.end();var t=this._hash.digest(),r=a(t,A,this._hashType,this._signType,this._tag);return e?r.toString(e):r},o(c,i.Writable),c.prototype._write=function(A,e,t){this._hash.update(A),t()},c.prototype.update=function(A,e){return"string"==typeof A&&(A=r.from(A,e)),this._hash.update(A),this},c.prototype.verify=function(A,e,t){"string"==typeof e&&(e=r.from(e,t)),this.end();var n=this._hash.digest();return s(e,n,A,this._signType,this._tag)},A.exports={Sign:B,Verify:l,createSign:B,createVerify:l}},2957:(A,e,t)=>{var r=t(5679).Buffer,n=t(8355),i=t(3663),o=t(6266).ec,a=t(3550),s=t(980),u=t(1308);function g(A,e,t,i){if((A=r.from(A.toArray())).length<e.byteLength()){var o=r.alloc(e.byteLength()-A.length);A=r.concat([o,A])}var a=t.length,s=function(A,e){A=(A=c(A,e)).mod(e);var t=r.from(A.toArray());if(t.length<e.byteLength()){var n=r.alloc(e.byteLength()-t.length);t=r.concat([n,t])}return t}(t,e),u=r.alloc(a);u.fill(1);var g=r.alloc(a);return g=n(i,g).update(u).update(r.from([0])).update(A).update(s).digest(),u=n(i,g).update(u).digest(),{k:g=n(i,g).update(u).update(r.from([1])).update(A).update(s).digest(),v:u=n(i,g).update(u).digest()}}function c(A,e){var t=new a(A),r=(A.length<<3)-e.bitLength();return r>0&&t.ishrn(r),t}function B(A,e,t){var i,o;do{for(i=r.alloc(0);8*i.length<A.bitLength();)e.v=n(t,e.k).update(e.v).digest(),i=r.concat([i,e.v]);o=c(i,A),e.k=n(t,e.k).update(e.v).update(r.from([0])).digest(),e.v=n(t,e.k).update(e.v).digest()}while(-1!==o.cmp(A));return o}function l(A,e,t,r){return A.toRed(a.mont(t)).redPow(e).fromRed().mod(r)}A.exports=function(A,e,t,n,Q){var I=s(e);if(I.curve){if("ecdsa"!==n&&"ecdsa/rsa"!==n)throw new Error("wrong private key type");return function(A,e){var t=u[e.curve.join(".")];if(!t)throw new Error("unknown curve "+e.curve.join("."));var n=new o(t).keyFromPrivate(e.privateKey).sign(A);return r.from(n.toDER())}(A,I)}if("dsa"===I.type){if("dsa"!==n)throw new Error("wrong private key type");return function(A,e,t){for(var n,i=e.params.priv_key,o=e.params.p,s=e.params.q,u=e.params.g,Q=new a(0),I=c(A,s).mod(s),d=!1,h=g(i,s,A,t);!1===d;)Q=l(u,n=B(s,h,t),o,s),0===(d=n.invm(s).imul(I.add(i.mul(Q))).mod(s)).cmpn(0)&&(d=!1,Q=new a(0));return function(A,e){A=A.toArray(),e=e.toArray(),128&A[0]&&(A=[0].concat(A)),128&e[0]&&(e=[0].concat(e));var t=[48,A.length+e.length+4,2,A.length];return t=t.concat(A,[2,e.length],e),r.from(t)}(Q,d)}(A,I,t)}if("rsa"!==n&&"ecdsa/rsa"!==n)throw new Error("wrong private key type");A=r.concat([Q,A]);for(var d=I.modulus.byteLength(),h=[0,1];A.length+h.length+1<d;)h.push(255);h.push(0);for(var E=-1;++E<A.length;)h.push(A[E]);return 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g=s>>>26,c=67108863&s,B=Math.min(u,e.length-1),l=Math.max(0,u-A.length+1);l<=B;l++){var Q=u-l|0;g+=(o=(n=0|A.words[Q])*(i=0|e.words[l])+c)/67108864|0,c=67108863&o}t.words[u]=0|c,s=0|g}return 0!==s?t.words[u]=0|s:t.length--,t.strip()}i.prototype.toString=function(A,e){var t;if(e=0|e||1,16===(A=A||10)||"hex"===A){t="";for(var n=0,i=0,o=0;o<this.length;o++){var a=this.words[o],s=(16777215&(a<<n|i)).toString(16);t=0!=(i=a>>>24-n&16777215)||o!==this.length-1?g[6-s.length]+s+t:s+t,(n+=2)>=26&&(n-=26,o--)}for(0!==i&&(t=i.toString(16)+t);t.length%e!=0;)t="0"+t;return 0!==this.negative&&(t="-"+t),t}if(A===(0|A)&&A>=2&&A<=36){var u=c[A],l=B[A];t="";var Q=this.clone();for(Q.negative=0;!Q.isZero();){var I=Q.modn(l).toString(A);t=(Q=Q.idivn(l)).isZero()?I+t:g[u-I.length]+I+t}for(this.isZero()&&(t="0"+t);t.length%e!=0;)t="0"+t;return 0!==this.negative&&(t="-"+t),t}r(!1,"Base should be between 2 and 36")},i.prototype.toNumber=function(){var A=this.words[0];return 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vA=(u+(r=r+Math.imul(c,cA)|0)|0)+((8191&(n=(n=n+Math.imul(c,BA)|0)+Math.imul(B,cA)|0))<<13)|0;u=((i=i+Math.imul(B,BA)|0)+(n>>>13)|0)+(vA>>>26)|0,vA&=67108863,r=Math.imul(k,V),n=(n=Math.imul(k,T))+Math.imul(Y,V)|0,i=Math.imul(Y,T),r=r+Math.imul(M,J)|0,n=(n=n+Math.imul(M,O)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,O)|0,r=r+Math.imul(R,j)|0,n=(n=n+Math.imul(R,z)|0)+Math.imul(H,j)|0,i=i+Math.imul(H,z)|0,r=r+Math.imul(U,Z)|0,n=(n=n+Math.imul(U,W)|0)+Math.imul(S,Z)|0,i=i+Math.imul(S,W)|0,r=r+Math.imul(b,$)|0,n=(n=n+Math.imul(b,AA)|0)+Math.imul(w,$)|0,i=i+Math.imul(w,AA)|0,r=r+Math.imul(y,tA)|0,n=(n=n+Math.imul(y,rA)|0)+Math.imul(v,tA)|0,i=i+Math.imul(v,rA)|0,r=r+Math.imul(C,iA)|0,n=(n=n+Math.imul(C,oA)|0)+Math.imul(p,iA)|0,i=i+Math.imul(p,oA)|0,r=r+Math.imul(h,sA)|0,n=(n=n+Math.imul(h,uA)|0)+Math.imul(E,sA)|0,i=i+Math.imul(E,uA)|0,r=r+Math.imul(Q,cA)|0,n=(n=n+Math.imul(Q,BA)|0)+Math.imul(I,cA)|0,i=i+Math.imul(I,BA)|0;var 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bA=(u+(r=r+Math.imul(Q,QA)|0)|0)+((8191&(n=(n=n+Math.imul(Q,IA)|0)+Math.imul(I,QA)|0))<<13)|0;u=((i=i+Math.imul(I,IA)|0)+(n>>>13)|0)+(bA>>>26)|0,bA&=67108863,r=Math.imul(k,j),n=(n=Math.imul(k,z))+Math.imul(Y,j)|0,i=Math.imul(Y,z),r=r+Math.imul(M,Z)|0,n=(n=n+Math.imul(M,W)|0)+Math.imul(L,Z)|0,i=i+Math.imul(L,W)|0,r=r+Math.imul(R,$)|0,n=(n=n+Math.imul(R,AA)|0)+Math.imul(H,$)|0,i=i+Math.imul(H,AA)|0,r=r+Math.imul(U,tA)|0,n=(n=n+Math.imul(U,rA)|0)+Math.imul(S,tA)|0,i=i+Math.imul(S,rA)|0,r=r+Math.imul(b,iA)|0,n=(n=n+Math.imul(b,oA)|0)+Math.imul(w,iA)|0,i=i+Math.imul(w,oA)|0,r=r+Math.imul(y,sA)|0,n=(n=n+Math.imul(y,uA)|0)+Math.imul(v,sA)|0,i=i+Math.imul(v,uA)|0,r=r+Math.imul(C,cA)|0,n=(n=n+Math.imul(C,BA)|0)+Math.imul(p,cA)|0,i=i+Math.imul(p,BA)|0;var wA=(u+(r=r+Math.imul(h,QA)|0)|0)+((8191&(n=(n=n+Math.imul(h,IA)|0)+Math.imul(E,QA)|0))<<13)|0;u=((i=i+Math.imul(E,IA)|0)+(n>>>13)|0)+(wA>>>26)|0,wA&=67108863,r=Math.imul(k,Z),n=(n=Math.imul(k,W))+Math.imul(Y,Z)|0,i=Math.imul(Y,W),r=r+Math.imul(M,$)|0,n=(n=n+Math.imul(M,AA)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,AA)|0,r=r+Math.imul(R,tA)|0,n=(n=n+Math.imul(R,rA)|0)+Math.imul(H,tA)|0,i=i+Math.imul(H,rA)|0,r=r+Math.imul(U,iA)|0,n=(n=n+Math.imul(U,oA)|0)+Math.imul(S,iA)|0,i=i+Math.imul(S,oA)|0,r=r+Math.imul(b,sA)|0,n=(n=n+Math.imul(b,uA)|0)+Math.imul(w,sA)|0,i=i+Math.imul(w,uA)|0,r=r+Math.imul(y,cA)|0,n=(n=n+Math.imul(y,BA)|0)+Math.imul(v,cA)|0,i=i+Math.imul(v,BA)|0;var FA=(u+(r=r+Math.imul(C,QA)|0)|0)+((8191&(n=(n=n+Math.imul(C,IA)|0)+Math.imul(p,QA)|0))<<13)|0;u=((i=i+Math.imul(p,IA)|0)+(n>>>13)|0)+(FA>>>26)|0,FA&=67108863,r=Math.imul(k,$),n=(n=Math.imul(k,AA))+Math.imul(Y,$)|0,i=Math.imul(Y,AA),r=r+Math.imul(M,tA)|0,n=(n=n+Math.imul(M,rA)|0)+Math.imul(L,tA)|0,i=i+Math.imul(L,rA)|0,r=r+Math.imul(R,iA)|0,n=(n=n+Math.imul(R,oA)|0)+Math.imul(H,iA)|0,i=i+Math.imul(H,oA)|0,r=r+Math.imul(U,sA)|0,n=(n=n+Math.imul(U,uA)|0)+Math.imul(S,sA)|0,i=i+Math.imul(S,uA)|0,r=r+Math.imul(b,cA)|0,n=(n=n+Math.imul(b,BA)|0)+Math.imul(w,cA)|0,i=i+Math.imul(w,BA)|0;var UA=(u+(r=r+Math.imul(y,QA)|0)|0)+((8191&(n=(n=n+Math.imul(y,IA)|0)+Math.imul(v,QA)|0))<<13)|0;u=((i=i+Math.imul(v,IA)|0)+(n>>>13)|0)+(UA>>>26)|0,UA&=67108863,r=Math.imul(k,tA),n=(n=Math.imul(k,rA))+Math.imul(Y,tA)|0,i=Math.imul(Y,rA),r=r+Math.imul(M,iA)|0,n=(n=n+Math.imul(M,oA)|0)+Math.imul(L,iA)|0,i=i+Math.imul(L,oA)|0,r=r+Math.imul(R,sA)|0,n=(n=n+Math.imul(R,uA)|0)+Math.imul(H,sA)|0,i=i+Math.imul(H,uA)|0,r=r+Math.imul(U,cA)|0,n=(n=n+Math.imul(U,BA)|0)+Math.imul(S,cA)|0,i=i+Math.imul(S,BA)|0;var SA=(u+(r=r+Math.imul(b,QA)|0)|0)+((8191&(n=(n=n+Math.imul(b,IA)|0)+Math.imul(w,QA)|0))<<13)|0;u=((i=i+Math.imul(w,IA)|0)+(n>>>13)|0)+(SA>>>26)|0,SA&=67108863,r=Math.imul(k,iA),n=(n=Math.imul(k,oA))+Math.imul(Y,iA)|0,i=Math.imul(Y,oA),r=r+Math.imul(M,sA)|0,n=(n=n+Math.imul(M,uA)|0)+Math.imul(L,sA)|0,i=i+Math.imul(L,uA)|0,r=r+Math.imul(R,cA)|0,n=(n=n+Math.imul(R,BA)|0)+Math.imul(H,cA)|0,i=i+Math.imul(H,BA)|0;var NA=(u+(r=r+Math.imul(U,QA)|0)|0)+((8191&(n=(n=n+Math.imul(U,IA)|0)+Math.imul(S,QA)|0))<<13)|0;u=((i=i+Math.imul(S,IA)|0)+(n>>>13)|0)+(NA>>>26)|0,NA&=67108863,r=Math.imul(k,sA),n=(n=Math.imul(k,uA))+Math.imul(Y,sA)|0,i=Math.imul(Y,uA),r=r+Math.imul(M,cA)|0,n=(n=n+Math.imul(M,BA)|0)+Math.imul(L,cA)|0,i=i+Math.imul(L,BA)|0;var RA=(u+(r=r+Math.imul(R,QA)|0)|0)+((8191&(n=(n=n+Math.imul(R,IA)|0)+Math.imul(H,QA)|0))<<13)|0;u=((i=i+Math.imul(H,IA)|0)+(n>>>13)|0)+(RA>>>26)|0,RA&=67108863,r=Math.imul(k,cA),n=(n=Math.imul(k,BA))+Math.imul(Y,cA)|0,i=Math.imul(Y,BA);var HA=(u+(r=r+Math.imul(M,QA)|0)|0)+((8191&(n=(n=n+Math.imul(M,IA)|0)+Math.imul(L,QA)|0))<<13)|0;u=((i=i+Math.imul(L,IA)|0)+(n>>>13)|0)+(HA>>>26)|0,HA&=67108863;var GA=(u+(r=Math.imul(k,QA))|0)+((8191&(n=(n=Math.imul(k,IA))+Math.imul(Y,QA)|0))<<13)|0;return u=((i=Math.imul(Y,IA))+(n>>>13)|0)+(GA>>>26)|0,GA&=67108863,s[0]=dA,s[1]=hA,s[2]=EA,s[3]=fA,s[4]=CA,s[5]=pA,s[6]=mA,s[7]=yA,s[8]=vA,s[9]=DA,s[10]=bA,s[11]=wA,s[12]=FA,s[13]=UA,s[14]=SA,s[15]=NA,s[16]=RA,s[17]=HA,s[18]=GA,0!==u&&(s[19]=u,t.length++),t};function I(A,e,t){return(new d).mulp(A,e,t)}function d(A,e){this.x=A,this.y=e}Math.imul||(Q=l),i.prototype.mulTo=function(A,e){var t,r=this.length+A.length;return t=10===this.length&&10===A.length?Q(this,A,e):r<63?l(this,A,e):r<1024?function(A,e,t){t.negative=e.negative^A.negative,t.length=A.length+e.length;for(var r=0,n=0,i=0;i<t.length-1;i++){var o=n;n=0;for(var a=67108863&r,s=Math.min(i,e.length-1),u=Math.max(0,i-A.length+1);u<=s;u++){var g=i-u,c=(0|A.words[g])*(0|e.words[u]),B=67108863&c;a=67108863&(B=B+a|0),n+=(o=(o=o+(c/67108864|0)|0)+(B>>>26)|0)>>>26,o&=67108863}t.words[i]=a,r=o,o=n}return 0!==r?t.words[i]=r:t.length--,t.strip()}(this,A,e):I(this,A,e),t},d.prototype.makeRBT=function(A){for(var e=new 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n=8192*Math.round(A[2*r+1]/e)+Math.round(A[2*r]/e)+t;A[r]=67108863&n,t=n<67108864?0:n/67108864|0}return A},d.prototype.convert13b=function(A,e,t,n){for(var i=0,o=0;o<e;o++)i+=0|A[o],t[2*o]=8191&i,i>>>=13,t[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<n;++o)t[o]=0;r(0===i),r(0==(-8192&i))},d.prototype.stub=function(A){for(var e=new Array(A),t=0;t<A;t++)e[t]=0;return e},d.prototype.mulp=function(A,e,t){var r=2*this.guessLen13b(A.length,e.length),n=this.makeRBT(r),i=this.stub(r),o=new Array(r),a=new Array(r),s=new Array(r),u=new Array(r),g=new Array(r),c=new Array(r),B=t.words;B.length=r,this.convert13b(A.words,A.length,o,r),this.convert13b(e.words,e.length,u,r),this.transform(o,i,a,s,r,n),this.transform(u,i,g,c,r,n);for(var l=0;l<r;l++){var Q=a[l]*g[l]-s[l]*c[l];s[l]=a[l]*c[l]+s[l]*g[l],a[l]=Q}return this.conjugate(a,s,r),this.transform(a,s,B,i,r,n),this.conjugate(B,i,r),this.normalize13b(B,r),t.negative=A.negative^e.negative,t.length=A.length+e.length,t.strip()},i.prototype.mul=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),this.mulTo(A,e)},i.prototype.mulf=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),I(this,A,e)},i.prototype.imul=function(A){return this.clone().mulTo(A,this)},i.prototype.imuln=function(A){r("number"==typeof A),r(A<67108864);for(var e=0,t=0;t<this.length;t++){var n=(0|this.words[t])*A,i=(67108863&n)+(67108863&e);e>>=26,e+=n/67108864|0,e+=i>>>26,this.words[t]=67108863&i}return 0!==e&&(this.words[t]=e,this.length++),this},i.prototype.muln=function(A){return this.clone().imuln(A)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(A){var e=function(A){for(var e=new Array(A.bitLength()),t=0;t<e.length;t++){var r=t/26|0,n=t%26;e[t]=(A.words[r]&1<<n)>>>n}return e}(A);if(0===e.length)return new i(1);for(var t=this,r=0;r<e.length&&0===e[r];r++,t=t.sqr());if(++r<e.length)for(var 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c=0|this.words[u];this.words[u]=g<<26-i|c>>>i,g=c&a}return s&&0!==g&&(s.words[s.length++]=g),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(A,e,t){return r(0===this.negative),this.iushrn(A,e,t)},i.prototype.shln=function(A){return this.clone().ishln(A)},i.prototype.ushln=function(A){return this.clone().iushln(A)},i.prototype.shrn=function(A){return this.clone().ishrn(A)},i.prototype.ushrn=function(A){return this.clone().iushrn(A)},i.prototype.testn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26,n=1<<e;return!(this.length<=t||!(this.words[t]&n))},i.prototype.imaskn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=t)return this;if(0!==e&&t++,this.length=Math.min(t,this.length),0!==e){var n=67108863^67108863>>>e<<e;this.words[this.length-1]&=n}return this.strip()},i.prototype.maskn=function(A){return this.clone().imaskn(A)},i.prototype.iaddn=function(A){return r("number"==typeof A),r(A<67108864),A<0?this.isubn(-A):0!==this.negative?1===this.length&&(0|this.words[0])<A?(this.words[0]=A-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(A),this.negative=1,this):this._iaddn(A)},i.prototype._iaddn=function(A){this.words[0]+=A;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(A){if(r("number"==typeof A),r(A<67108864),A<0)return this.iaddn(-A);if(0!==this.negative)return this.negative=0,this.iaddn(A),this.negative=1,this;if(this.words[0]-=A,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(A){return 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g=r.clone()._ishlnsubmul(n,1,s);0===g.negative&&(r=g,a&&(a.words[s]=1));for(var c=s-1;c>=0;c--){var B=67108864*(0|r.words[n.length+c])+(0|r.words[n.length+c-1]);for(B=Math.min(B/o|0,67108863),r._ishlnsubmul(n,B,c);0!==r.negative;)B--,r.negative=0,r._ishlnsubmul(n,1,c),r.isZero()||(r.negative^=1);a&&(a.words[c]=B)}return a&&a.strip(),r.strip(),"div"!==e&&0!==t&&r.iushrn(t),{div:a||null,mod:r}},i.prototype.divmod=function(A,e,t){return r(!A.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===A.negative?(a=this.neg().divmod(A,e),"mod"!==e&&(n=a.div.neg()),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.iadd(A)),{div:n,mod:o}):0===this.negative&&0!==A.negative?(a=this.divmod(A.neg(),e),"mod"!==e&&(n=a.div.neg()),{div:n,mod:a.mod}):0!=(this.negative&A.negative)?(a=this.neg().divmod(A.neg(),e),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.isub(A)),{div:a.div,mod:o}):A.length>this.length||this.cmp(A)<0?{div:new 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this._expand(t+1),this.words[t]|=n,this;for(var i=n,o=t;0!==i&&o<this.length;o++){var a=0|this.words[o];i=(a+=i)>>>26,a&=67108863,this.words[o]=a}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(A){var e,t=A<0;if(0!==this.negative&&!t)return-1;if(0===this.negative&&t)return 1;if(this.strip(),this.length>1)e=1;else{t&&(A=-A),r(A<=67108863,"Number is too big");var n=0|this.words[0];e=n===A?0:n<A?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(A){if(0!==this.negative&&0===A.negative)return-1;if(0===this.negative&&0!==A.negative)return 1;var e=this.ucmp(A);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(A){if(this.length>A.length)return 1;if(this.length<A.length)return-1;for(var e=0,t=this.length-1;t>=0;t--){var r=0|this.words[t],n=0|A.words[t];if(r!==n){r<n?e=-1:r>n&&(e=1);break}}return e},i.prototype.gtn=function(A){return 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fffffc2f")}function C(){E.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function p(){E.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function m(){E.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function y(A){if("string"==typeof A){var e=i._prime(A);this.m=e.p,this.prime=e}else r(A.gtn(1),"modulus must be greater than 1"),this.m=A,this.prime=null}function v(A){y.call(this,A),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}E.prototype._tmp=function(){var A=new i(null);return A.words=new Array(Math.ceil(this.n/13)),A},E.prototype.ireduce=function(A){var 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s=t(2607);e.DiffieHellmanGroup=s.DiffieHellmanGroup,e.createDiffieHellmanGroup=s.createDiffieHellmanGroup,e.getDiffieHellman=s.getDiffieHellman,e.createDiffieHellman=s.createDiffieHellman,e.DiffieHellman=s.DiffieHellman;var u=t(4743);e.createSign=u.createSign,e.Sign=u.Sign,e.createVerify=u.createVerify,e.Verify=u.Verify,e.createECDH=t(6393);var g=t(7900);e.publicEncrypt=g.publicEncrypt,e.privateEncrypt=g.privateEncrypt,e.publicDecrypt=g.publicDecrypt,e.privateDecrypt=g.privateDecrypt;var c=t(7963);e.randomFill=c.randomFill,e.randomFillSync=c.randomFillSync,e.createCredentials=function(){throw new Error(["sorry, createCredentials is not implemented yet","we accept pull requests","https://github.com/crypto-browserify/crypto-browserify"].join("\n"))},e.constants={DH_CHECK_P_NOT_SAFE_PRIME:2,DH_CHECK_P_NOT_PRIME:1,DH_UNABLE_TO_CHECK_GENERATOR:4,DH_NOT_SUITABLE_GENERATOR:8,NPN_ENABLED:1,ALPN_ENABLED:1,RSA_PKCS1_PADDING:1,RSA_SSLV23_PADDING:2,RSA_NO_PADDING:3,RSA_PKCS1_OAEP_PADDING:4,RSA_X931_PADDING:5,RSA_PKCS1_PSS_PADDING:6,POINT_CONVERSION_COMPRESSED:2,POINT_CONVERSION_UNCOMPRESSED:4,POINT_CONVERSION_HYBRID:6}},9540:(A,e,t)=>{"use strict";e.utils=t(1278),e.Cipher=t(5756),e.DES=t(778),e.CBC=t(9051),e.EDE=t(651)},9051:(A,e,t)=>{"use strict";var r=t(9746),n=t(5717),i={};function o(A){r.equal(A.length,8,"Invalid IV length"),this.iv=new Array(8);for(var e=0;e<this.iv.length;e++)this.iv[e]=A[e]}e.instantiate=function(A){function e(e){A.call(this,e),this._cbcInit()}n(e,A);for(var t=Object.keys(i),r=0;r<t.length;r++){var o=t[r];e.prototype[o]=i[o]}return e.create=function(A){return new e(A)},e},i._cbcInit=function(){var A=new o(this.options.iv);this._cbcState=A},i._update=function(A,e,t,r){var n=this._cbcState,i=this.constructor.super_.prototype,o=n.iv;if("encrypt"===this.type){for(var a=0;a<this.blockSize;a++)o[a]^=A[e+a];for(i._update.call(this,o,0,t,r),a=0;a<this.blockSize;a++)o[a]=t[r+a]}else{for(i._update.call(this,A,e,t,r),a=0;a<this.blockSize;a++)t[r+a]^=o[a];for(a=0;a<this.blockSize;a++)o[a]=A[e+a]}}},5756:(A,e,t)=>{"use strict";var r=t(9746);function n(A){this.options=A,this.type=this.options.type,this.blockSize=8,this._init(),this.buffer=new Array(this.blockSize),this.bufferOff=0}A.exports=n,n.prototype._init=function(){},n.prototype.update=function(A){return 0===A.length?[]:"decrypt"===this.type?this._updateDecrypt(A):this._updateEncrypt(A)},n.prototype._buffer=function(A,e){for(var t=Math.min(this.buffer.length-this.bufferOff,A.length-e),r=0;r<t;r++)this.buffer[this.bufferOff+r]=A[e+r];return this.bufferOff+=t,t},n.prototype._flushBuffer=function(A,e){return this._update(this.buffer,0,A,e),this.bufferOff=0,this.blockSize},n.prototype._updateEncrypt=function(A){var e=0,t=0,r=(this.bufferOff+A.length)/this.blockSize|0,n=new Array(r*this.blockSize);0!==this.bufferOff&&(e+=this._buffer(A,e),this.bufferOff===this.buffer.length&&(t+=this._flushBuffer(n,t)));for(var i=A.length-(A.length-e)%this.blockSize;e<i;e+=this.blockSize)this._update(A,e,n,t),t+=this.blockSize;for(;e<A.length;e++,this.bufferOff++)this.buffer[this.bufferOff]=A[e];return n},n.prototype._updateDecrypt=function(A){for(var e=0,t=0,r=Math.ceil((this.bufferOff+A.length)/this.blockSize)-1,n=new Array(r*this.blockSize);r>0;r--)e+=this._buffer(A,e),t+=this._flushBuffer(n,t);return e+=this._buffer(A,e),n},n.prototype.final=function(A){var e,t;return A&&(e=this.update(A)),t="encrypt"===this.type?this._finalEncrypt():this._finalDecrypt(),e?e.concat(t):t},n.prototype._pad=function(A,e){if(0===e)return!1;for(;e<A.length;)A[e++]=0;return!0},n.prototype._finalEncrypt=function(){if(!this._pad(this.buffer,this.bufferOff))return[];var A=new Array(this.blockSize);return this._update(this.buffer,0,A,0),A},n.prototype._unpad=function(A){return A},n.prototype._finalDecrypt=function(){r.equal(this.bufferOff,this.blockSize,"Not enough data to decrypt");var A=new Array(this.blockSize);return this._flushBuffer(A,0),this._unpad(A)}},778:(A,e,t)=>{"use strict";var r=t(9746),n=t(5717),i=t(1278),o=t(5756);function a(){this.tmp=new Array(2),this.keys=null}function s(A){o.call(this,A);var e=new a;this._desState=e,this.deriveKeys(e,A.key)}n(s,o),A.exports=s,s.create=function(A){return new s(A)};var u=[1,1,2,2,2,2,2,2,1,2,2,2,2,2,2,1];s.prototype.deriveKeys=function(A,e){A.keys=new Array(32),r.equal(e.length,this.blockSize,"Invalid key length");var t=i.readUInt32BE(e,0),n=i.readUInt32BE(e,4);i.pc1(t,n,A.tmp,0),t=A.tmp[0],n=A.tmp[1];for(var o=0;o<A.keys.length;o+=2){var a=u[o>>>1];t=i.r28shl(t,a),n=i.r28shl(n,a),i.pc2(t,n,A.keys,o)}},s.prototype._update=function(A,e,t,r){var n=this._desState,o=i.readUInt32BE(A,e),a=i.readUInt32BE(A,e+4);i.ip(o,a,n.tmp,0),o=n.tmp[0],a=n.tmp[1],"encrypt"===this.type?this._encrypt(n,o,a,n.tmp,0):this._decrypt(n,o,a,n.tmp,0),o=n.tmp[0],a=n.tmp[1],i.writeUInt32BE(t,o,r),i.writeUInt32BE(t,a,r+4)},s.prototype._pad=function(A,e){for(var t=A.length-e,r=e;r<A.length;r++)A[r]=t;return!0},s.prototype._unpad=function(A){for(var e=A[A.length-1],t=A.length-e;t<A.length;t++)r.equal(A[t],e);return A.slice(0,A.length-e)},s.prototype._encrypt=function(A,e,t,r,n){for(var o=e,a=t,s=0;s<A.keys.length;s+=2){var u=A.keys[s],g=A.keys[s+1];i.expand(a,A.tmp,0),u^=A.tmp[0],g^=A.tmp[1];var c=i.substitute(u,g),B=a;a=(o^i.permute(c))>>>0,o=B}i.rip(a,o,r,n)},s.prototype._decrypt=function(A,e,t,r,n){for(var o=t,a=e,s=A.keys.length-2;s>=0;s-=2){var u=A.keys[s],g=A.keys[s+1];i.expand(o,A.tmp,0),u^=A.tmp[0],g^=A.tmp[1];var c=i.substitute(u,g),B=o;o=(a^i.permute(c))>>>0,a=B}i.rip(o,a,r,n)}},651:(A,e,t)=>{"use strict";var r=t(9746),n=t(5717),i=t(5756),o=t(778);function a(A,e){r.equal(e.length,24,"Invalid key length");var t=e.slice(0,8),n=e.slice(8,16),i=e.slice(16,24);this.ciphers="encrypt"===A?[o.create({type:"encrypt",key:t}),o.create({type:"decrypt",key:n}),o.create({type:"encrypt",key:i})]:[o.create({type:"decrypt",key:i}),o.create({type:"encrypt",key:n}),o.create({type:"decrypt",key:t})]}function s(A){i.call(this,A);var e=new a(this.type,this.options.key);this._edeState=e}n(s,i),A.exports=s,s.create=function(A){return new s(A)},s.prototype._update=function(A,e,t,r){var n=this._edeState;n.ciphers[0]._update(A,e,t,r),n.ciphers[1]._update(t,r,t,r),n.ciphers[2]._update(t,r,t,r)},s.prototype._pad=o.prototype._pad,s.prototype._unpad=o.prototype._unpad},1278:(A,e)=>{"use strict";e.readUInt32BE=function(A,e){return(A[0+e]<<24|A[1+e]<<16|A[2+e]<<8|A[3+e])>>>0},e.writeUInt32BE=function(A,e,t){A[0+t]=e>>>24,A[1+t]=e>>>16&255,A[2+t]=e>>>8&255,A[3+t]=255&e},e.ip=function(A,e,t,r){for(var n=0,i=0,o=6;o>=0;o-=2){for(var a=0;a<=24;a+=8)n<<=1,n|=e>>>a+o&1;for(a=0;a<=24;a+=8)n<<=1,n|=A>>>a+o&1}for(o=6;o>=0;o-=2){for(a=1;a<=25;a+=8)i<<=1,i|=e>>>a+o&1;for(a=1;a<=25;a+=8)i<<=1,i|=A>>>a+o&1}t[r+0]=n>>>0,t[r+1]=i>>>0},e.rip=function(A,e,t,r){for(var n=0,i=0,o=0;o<4;o++)for(var a=24;a>=0;a-=8)n<<=1,n|=e>>>a+o&1,n<<=1,n|=A>>>a+o&1;for(o=4;o<8;o++)for(a=24;a>=0;a-=8)i<<=1,i|=e>>>a+o&1,i<<=1,i|=A>>>a+o&1;t[r+0]=n>>>0,t[r+1]=i>>>0},e.pc1=function(A,e,t,r){for(var n=0,i=0,o=7;o>=5;o--){for(var a=0;a<=24;a+=8)n<<=1,n|=e>>a+o&1;for(a=0;a<=24;a+=8)n<<=1,n|=A>>a+o&1}for(a=0;a<=24;a+=8)n<<=1,n|=e>>a+o&1;for(o=1;o<=3;o++){for(a=0;a<=24;a+=8)i<<=1,i|=e>>a+o&1;for(a=0;a<=24;a+=8)i<<=1,i|=A>>a+o&1}for(a=0;a<=24;a+=8)i<<=1,i|=A>>a+o&1;t[r+0]=n>>>0,t[r+1]=i>>>0},e.r28shl=function(A,e){return A<<e&268435455|A>>>28-e};var t=[14,11,17,4,27,23,25,0,13,22,7,18,5,9,16,24,2,20,12,21,1,8,15,26,15,4,25,19,9,1,26,16,5,11,23,8,12,7,17,0,22,3,10,14,6,20,27,24];e.pc2=function(A,e,r,n){for(var i=0,o=0,a=t.length>>>1,s=0;s<a;s++)i<<=1,i|=A>>>t[s]&1;for(s=a;s<t.length;s++)o<<=1,o|=e>>>t[s]&1;r[n+0]=i>>>0,r[n+1]=o>>>0},e.expand=function(A,e,t){var r=0,n=0;r=(1&A)<<5|A>>>27;for(var i=23;i>=15;i-=4)r<<=6,r|=A>>>i&63;for(i=11;i>=3;i-=4)n|=A>>>i&63,n<<=6;n|=(31&A)<<1|A>>>31,e[t+0]=r>>>0,e[t+1]=n>>>0};var r=[14,0,4,15,13,7,1,4,2,14,15,2,11,13,8,1,3,10,10,6,6,12,12,11,5,9,9,5,0,3,7,8,4,15,1,12,14,8,8,2,13,4,6,9,2,1,11,7,15,5,12,11,9,3,7,14,3,10,10,0,5,6,0,13,15,3,1,13,8,4,14,7,6,15,11,2,3,8,4,14,9,12,7,0,2,1,13,10,12,6,0,9,5,11,10,5,0,13,14,8,7,10,11,1,10,3,4,15,13,4,1,2,5,11,8,6,12,7,6,12,9,0,3,5,2,14,15,9,10,13,0,7,9,0,14,9,6,3,3,4,15,6,5,10,1,2,13,8,12,5,7,14,11,12,4,11,2,15,8,1,13,1,6,10,4,13,9,0,8,6,15,9,3,8,0,7,11,4,1,15,2,14,12,3,5,11,10,5,14,2,7,12,7,13,13,8,14,11,3,5,0,6,6,15,9,0,10,3,1,4,2,7,8,2,5,12,11,1,12,10,4,14,15,9,10,3,6,15,9,0,0,6,12,10,11,1,7,13,13,8,15,9,1,4,3,5,14,11,5,12,2,7,8,2,4,14,2,14,12,11,4,2,1,12,7,4,10,7,11,13,6,1,8,5,5,0,3,15,15,10,13,3,0,9,14,8,9,6,4,11,2,8,1,12,11,7,10,1,13,14,7,2,8,13,15,6,9,15,12,0,5,9,6,10,3,4,0,5,14,3,12,10,1,15,10,4,15,2,9,7,2,12,6,9,8,5,0,6,13,1,3,13,4,14,14,0,7,11,5,3,11,8,9,4,14,3,15,2,5,12,2,9,8,5,12,15,3,10,7,11,0,14,4,1,10,7,1,6,13,0,11,8,6,13,4,13,11,0,2,11,14,7,15,4,0,9,8,1,13,10,3,14,12,3,9,5,7,12,5,2,10,15,6,8,1,6,1,6,4,11,11,13,13,8,12,1,3,4,7,10,14,7,10,9,15,5,6,0,8,15,0,14,5,2,9,3,2,12,13,1,2,15,8,13,4,8,6,10,15,3,11,7,1,4,10,12,9,5,3,6,14,11,5,0,0,14,12,9,7,2,7,2,11,1,4,14,1,7,9,4,12,10,14,8,2,13,0,15,6,12,10,9,13,0,15,3,3,5,5,6,8,11];e.substitute=function(A,e){for(var t=0,n=0;n<4;n++)t<<=4,t|=r[64*n+(A>>>18-6*n&63)];for(n=0;n<4;n++)t<<=4,t|=r[256+64*n+(e>>>18-6*n&63)];return t>>>0};var n=[16,25,12,11,3,20,4,15,31,17,9,6,27,14,1,22,30,24,8,18,0,5,29,23,13,19,2,26,10,21,28,7];e.permute=function(A){for(var e=0,t=0;t<n.length;t++)e<<=1,e|=A>>>n[t]&1;return e>>>0},e.padSplit=function(A,e,t){for(var r=A.toString(2);r.length<e;)r="0"+r;for(var n=[],i=0;i<e;i+=t)n.push(r.slice(i,i+t));return n.join(" ")}},2607:(A,e,t)=>{var r=t(3590),n=t(9799),i=t(7426),o={binary:!0,hex:!0,base64:!0};e.DiffieHellmanGroup=e.createDiffieHellmanGroup=e.getDiffieHellman=function(A){var e=new Buffer(n[A].prime,"hex"),t=new Buffer(n[A].gen,"hex");return new i(e,t)},e.createDiffieHellman=e.DiffieHellman=function A(e,t,n,a){return Buffer.isBuffer(t)||void 0===o[t]?A(e,"binary",t,n):(t=t||"binary",a=a||"binary",n=n||new Buffer([2]),Buffer.isBuffer(n)||(n=new Buffer(n,a)),"number"==typeof e?new i(r(e,n),n,!0):(Buffer.isBuffer(e)||(e=new Buffer(e,t)),new i(e,n,!0)))}},7426:(A,e,t)=>{var r=t(3620),n=new(t(3047)),i=new r(24),o=new r(11),a=new r(10),s=new r(3),u=new r(7),g=t(3590),c=t(1798);function B(A,e){return e=e||"utf8",Buffer.isBuffer(A)||(A=new Buffer(A,e)),this._pub=new r(A),this}function l(A,e){return e=e||"utf8",Buffer.isBuffer(A)||(A=new Buffer(A,e)),this._priv=new r(A),this}A.exports=I;var Q={};function I(A,e,t){this.setGenerator(e),this.__prime=new r(A),this._prime=r.mont(this.__prime),this._primeLen=A.length,this._pub=void 0,this._priv=void 0,this._primeCode=void 0,t?(this.setPublicKey=B,this.setPrivateKey=l):this._primeCode=8}function d(A,e){var t=new Buffer(A.toArray());return e?t.toString(e):t}Object.defineProperty(I.prototype,"verifyError",{enumerable:!0,get:function(){return"number"!=typeof this._primeCode&&(this._primeCode=function(A,e){var t=e.toString("hex"),r=[t,A.toString(16)].join("_");if(r in Q)return Q[r];var c,B=0;if(A.isEven()||!g.simpleSieve||!g.fermatTest(A)||!n.test(A))return B+=1,B+="02"===t||"05"===t?8:4,Q[r]=B,B;switch(n.test(A.shrn(1))||(B+=2),t){case"02":A.mod(i).cmp(o)&&(B+=8);break;case"05":(c=A.mod(a)).cmp(s)&&c.cmp(u)&&(B+=8);break;default:B+=4}return Q[r]=B,B}(this.__prime,this.__gen)),this._primeCode}}),I.prototype.generateKeys=function(){return this._priv||(this._priv=new r(c(this._primeLen))),this._pub=this._gen.toRed(this._prime).redPow(this._priv).fromRed(),this.getPublicKey()},I.prototype.computeSecret=function(A){var e=(A=(A=new r(A)).toRed(this._prime)).redPow(this._priv).fromRed(),t=new Buffer(e.toArray()),n=this.getPrime();if(t.length<n.length){var i=new Buffer(n.length-t.length);i.fill(0),t=Buffer.concat([i,t])}return t},I.prototype.getPublicKey=function(A){return d(this._pub,A)},I.prototype.getPrivateKey=function(A){return d(this._priv,A)},I.prototype.getPrime=function(A){return d(this.__prime,A)},I.prototype.getGenerator=function(A){return d(this._gen,A)},I.prototype.setGenerator=function(A,e){return e=e||"utf8",Buffer.isBuffer(A)||(A=new Buffer(A,e)),this.__gen=A,this._gen=new r(A),this}},3590:(A,e,t)=>{var r=t(1798);A.exports=E,E.simpleSieve=d,E.fermatTest=h;var n=t(3620),i=new n(24),o=new(t(3047)),a=new n(1),s=new n(2),u=new n(5),g=(new n(16),new n(8),new n(10)),c=new n(3),B=(new n(7),new n(11)),l=new n(4),Q=(new n(12),null);function I(){if(null!==Q)return Q;var A=[];A[0]=2;for(var e=1,t=3;t<1048576;t+=2){for(var r=Math.ceil(Math.sqrt(t)),n=0;n<e&&A[n]<=r&&t%A[n]!=0;n++);e!==n&&A[n]<=r||(A[e++]=t)}return Q=A,A}function d(A){for(var e=I(),t=0;t<e.length;t++)if(0===A.modn(e[t]))return 0===A.cmpn(e[t]);return!0}function h(A){var e=n.mont(A);return 0===s.toRed(e).redPow(A.subn(1)).fromRed().cmpn(1)}function E(A,e){if(A<16)return new n(2===e||5===e?[140,123]:[140,39]);var t,Q;for(e=new n(e);;){for(t=new n(r(Math.ceil(A/8)));t.bitLength()>A;)t.ishrn(1);if(t.isEven()&&t.iadd(a),t.testn(1)||t.iadd(s),e.cmp(s)){if(!e.cmp(u))for(;t.mod(g).cmp(c);)t.iadd(l)}else 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g=["","0","00","000","0000","00000","000000","0000000","00000000","000000000","0000000000","00000000000","000000000000","0000000000000","00000000000000","000000000000000","0000000000000000","00000000000000000","000000000000000000","0000000000000000000","00000000000000000000","000000000000000000000","0000000000000000000000","00000000000000000000000","000000000000000000000000","0000000000000000000000000"],c=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],B=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function l(A,e,t){t.negative=e.negative^A.negative;var r=A.length+e.length|0;t.length=r,r=r-1|0;var n=0|A.words[0],i=0|e.words[0],o=n*i,a=67108863&o,s=o/67108864|0;t.words[0]=a;for(var u=1;u<r;u++){for(var g=s>>>26,c=67108863&s,B=Math.min(u,e.length-1),l=Math.max(0,u-A.length+1);l<=B;l++){var Q=u-l|0;g+=(o=(n=0|A.words[Q])*(i=0|e.words[l])+c)/67108864|0,c=67108863&o}t.words[u]=0|c,s=0|g}return 0!==s?t.words[u]=0|s:t.length--,t.strip()}i.prototype.toString=function(A,e){var t;if(e=0|e||1,16===(A=A||10)||"hex"===A){t="";for(var n=0,i=0,o=0;o<this.length;o++){var a=this.words[o],s=(16777215&(a<<n|i)).toString(16);t=0!=(i=a>>>24-n&16777215)||o!==this.length-1?g[6-s.length]+s+t:s+t,(n+=2)>=26&&(n-=26,o--)}for(0!==i&&(t=i.toString(16)+t);t.length%e!=0;)t="0"+t;return 0!==this.negative&&(t="-"+t),t}if(A===(0|A)&&A>=2&&A<=36){var u=c[A],l=B[A];t="";var Q=this.clone();for(Q.negative=0;!Q.isZero();){var I=Q.modn(l).toString(A);t=(Q=Q.idivn(l)).isZero()?I+t:g[u-I.length]+I+t}for(this.isZero()&&(t="0"+t);t.length%e!=0;)t="0"+t;return 0!==this.negative&&(t="-"+t),t}r(!1,"Base should be between 2 and 36")},i.prototype.toNumber=function(){var A=this.words[0];return 2===this.length?A+=67108864*this.words[1]:3===this.length&&1===this.words[2]?A+=4503599627370496+67108864*this.words[1]:this.length>2&&r(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-A:A},i.prototype.toJSON=function(){return this.toString(16)},i.prototype.toBuffer=function(A,e){return r(void 0!==o),this.toArrayLike(o,A,e)},i.prototype.toArray=function(A,e){return this.toArrayLike(Array,A,e)},i.prototype.toArrayLike=function(A,e,t){var n=this.byteLength(),i=t||Math.max(1,n);r(n<=i,"byte array longer than desired length"),r(i>0,"Requested array length <= 0"),this.strip();var o,a,s="le"===e,u=new A(i),g=this.clone();if(s){for(a=0;!g.isZero();a++)o=g.andln(255),g.iushrn(8),u[a]=o;for(;a<i;a++)u[a]=0}else{for(a=0;a<i-n;a++)u[a]=0;for(a=0;!g.isZero();a++)o=g.andln(255),g.iushrn(8),u[i-a-1]=o}return u},Math.clz32?i.prototype._countBits=function(A){return 32-Math.clz32(A)}:i.prototype._countBits=function(A){var e=A,t=0;return 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e,t;this.length>A.length?(e=this,t=A):(e=A,t=this);for(var r=0;r<t.length;r++)this.words[r]=e.words[r]^t.words[r];if(this!==e)for(;r<e.length;r++)this.words[r]=e.words[r];return this.length=e.length,this.strip()},i.prototype.ixor=function(A){return r(0==(this.negative|A.negative)),this.iuxor(A)},i.prototype.xor=function(A){return this.length>A.length?this.clone().ixor(A):A.clone().ixor(this)},i.prototype.uxor=function(A){return this.length>A.length?this.clone().iuxor(A):A.clone().iuxor(this)},i.prototype.inotn=function(A){r("number"==typeof A&&A>=0);var e=0|Math.ceil(A/26),t=A%26;this._expand(e),t>0&&e--;for(var n=0;n<e;n++)this.words[n]=67108863&~this.words[n];return t>0&&(this.words[n]=~this.words[n]&67108863>>26-t),this.strip()},i.prototype.notn=function(A){return this.clone().inotn(A)},i.prototype.setn=function(A,e){r("number"==typeof A&&A>=0);var t=A/26|0,n=A%26;return 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fA=(u+(r=r+Math.imul(c,Z)|0)|0)+((8191&(n=(n=n+Math.imul(c,W)|0)+Math.imul(B,Z)|0))<<13)|0;u=((i=i+Math.imul(B,W)|0)+(n>>>13)|0)+(fA>>>26)|0,fA&=67108863,r=Math.imul(y,V),n=(n=Math.imul(y,T))+Math.imul(v,V)|0,i=Math.imul(v,T),r=r+Math.imul(C,J)|0,n=(n=n+Math.imul(C,O)|0)+Math.imul(p,J)|0,i=i+Math.imul(p,O)|0,r=r+Math.imul(h,j)|0,n=(n=n+Math.imul(h,z)|0)+Math.imul(E,j)|0,i=i+Math.imul(E,z)|0,r=r+Math.imul(Q,Z)|0,n=(n=n+Math.imul(Q,W)|0)+Math.imul(I,Z)|0,i=i+Math.imul(I,W)|0;var CA=(u+(r=r+Math.imul(c,$)|0)|0)+((8191&(n=(n=n+Math.imul(c,AA)|0)+Math.imul(B,$)|0))<<13)|0;u=((i=i+Math.imul(B,AA)|0)+(n>>>13)|0)+(CA>>>26)|0,CA&=67108863,r=Math.imul(b,V),n=(n=Math.imul(b,T))+Math.imul(w,V)|0,i=Math.imul(w,T),r=r+Math.imul(y,J)|0,n=(n=n+Math.imul(y,O)|0)+Math.imul(v,J)|0,i=i+Math.imul(v,O)|0,r=r+Math.imul(C,j)|0,n=(n=n+Math.imul(C,z)|0)+Math.imul(p,j)|0,i=i+Math.imul(p,z)|0,r=r+Math.imul(h,Z)|0,n=(n=n+Math.imul(h,W)|0)+Math.imul(E,Z)|0,i=i+Math.imul(E,W)|0,r=r+Math.imul(Q,$)|0,n=(n=n+Math.imul(Q,AA)|0)+Math.imul(I,$)|0,i=i+Math.imul(I,AA)|0;var pA=(u+(r=r+Math.imul(c,tA)|0)|0)+((8191&(n=(n=n+Math.imul(c,rA)|0)+Math.imul(B,tA)|0))<<13)|0;u=((i=i+Math.imul(B,rA)|0)+(n>>>13)|0)+(pA>>>26)|0,pA&=67108863,r=Math.imul(U,V),n=(n=Math.imul(U,T))+Math.imul(S,V)|0,i=Math.imul(S,T),r=r+Math.imul(b,J)|0,n=(n=n+Math.imul(b,O)|0)+Math.imul(w,J)|0,i=i+Math.imul(w,O)|0,r=r+Math.imul(y,j)|0,n=(n=n+Math.imul(y,z)|0)+Math.imul(v,j)|0,i=i+Math.imul(v,z)|0,r=r+Math.imul(C,Z)|0,n=(n=n+Math.imul(C,W)|0)+Math.imul(p,Z)|0,i=i+Math.imul(p,W)|0,r=r+Math.imul(h,$)|0,n=(n=n+Math.imul(h,AA)|0)+Math.imul(E,$)|0,i=i+Math.imul(E,AA)|0,r=r+Math.imul(Q,tA)|0,n=(n=n+Math.imul(Q,rA)|0)+Math.imul(I,tA)|0,i=i+Math.imul(I,rA)|0;var mA=(u+(r=r+Math.imul(c,iA)|0)|0)+((8191&(n=(n=n+Math.imul(c,oA)|0)+Math.imul(B,iA)|0))<<13)|0;u=((i=i+Math.imul(B,oA)|0)+(n>>>13)|0)+(mA>>>26)|0,mA&=67108863,r=Math.imul(R,V),n=(n=Math.imul(R,T))+Math.imul(H,V)|0,i=Math.imul(H,T),r=r+Math.imul(U,J)|0,n=(n=n+Math.imul(U,O)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,O)|0,r=r+Math.imul(b,j)|0,n=(n=n+Math.imul(b,z)|0)+Math.imul(w,j)|0,i=i+Math.imul(w,z)|0,r=r+Math.imul(y,Z)|0,n=(n=n+Math.imul(y,W)|0)+Math.imul(v,Z)|0,i=i+Math.imul(v,W)|0,r=r+Math.imul(C,$)|0,n=(n=n+Math.imul(C,AA)|0)+Math.imul(p,$)|0,i=i+Math.imul(p,AA)|0,r=r+Math.imul(h,tA)|0,n=(n=n+Math.imul(h,rA)|0)+Math.imul(E,tA)|0,i=i+Math.imul(E,rA)|0,r=r+Math.imul(Q,iA)|0,n=(n=n+Math.imul(Q,oA)|0)+Math.imul(I,iA)|0,i=i+Math.imul(I,oA)|0;var yA=(u+(r=r+Math.imul(c,sA)|0)|0)+((8191&(n=(n=n+Math.imul(c,uA)|0)+Math.imul(B,sA)|0))<<13)|0;u=((i=i+Math.imul(B,uA)|0)+(n>>>13)|0)+(yA>>>26)|0,yA&=67108863,r=Math.imul(M,V),n=(n=Math.imul(M,T))+Math.imul(L,V)|0,i=Math.imul(L,T),r=r+Math.imul(R,J)|0,n=(n=n+Math.imul(R,O)|0)+Math.imul(H,J)|0,i=i+Math.imul(H,O)|0,r=r+Math.imul(U,j)|0,n=(n=n+Math.imul(U,z)|0)+Math.imul(S,j)|0,i=i+Math.imul(S,z)|0,r=r+Math.imul(b,Z)|0,n=(n=n+Math.imul(b,W)|0)+Math.imul(w,Z)|0,i=i+Math.imul(w,W)|0,r=r+Math.imul(y,$)|0,n=(n=n+Math.imul(y,AA)|0)+Math.imul(v,$)|0,i=i+Math.imul(v,AA)|0,r=r+Math.imul(C,tA)|0,n=(n=n+Math.imul(C,rA)|0)+Math.imul(p,tA)|0,i=i+Math.imul(p,rA)|0,r=r+Math.imul(h,iA)|0,n=(n=n+Math.imul(h,oA)|0)+Math.imul(E,iA)|0,i=i+Math.imul(E,oA)|0,r=r+Math.imul(Q,sA)|0,n=(n=n+Math.imul(Q,uA)|0)+Math.imul(I,sA)|0,i=i+Math.imul(I,uA)|0;var vA=(u+(r=r+Math.imul(c,cA)|0)|0)+((8191&(n=(n=n+Math.imul(c,BA)|0)+Math.imul(B,cA)|0))<<13)|0;u=((i=i+Math.imul(B,BA)|0)+(n>>>13)|0)+(vA>>>26)|0,vA&=67108863,r=Math.imul(k,V),n=(n=Math.imul(k,T))+Math.imul(Y,V)|0,i=Math.imul(Y,T),r=r+Math.imul(M,J)|0,n=(n=n+Math.imul(M,O)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,O)|0,r=r+Math.imul(R,j)|0,n=(n=n+Math.imul(R,z)|0)+Math.imul(H,j)|0,i=i+Math.imul(H,z)|0,r=r+Math.imul(U,Z)|0,n=(n=n+Math.imul(U,W)|0)+Math.imul(S,Z)|0,i=i+Math.imul(S,W)|0,r=r+Math.imul(b,$)|0,n=(n=n+Math.imul(b,AA)|0)+Math.imul(w,$)|0,i=i+Math.imul(w,AA)|0,r=r+Math.imul(y,tA)|0,n=(n=n+Math.imul(y,rA)|0)+Math.imul(v,tA)|0,i=i+Math.imul(v,rA)|0,r=r+Math.imul(C,iA)|0,n=(n=n+Math.imul(C,oA)|0)+Math.imul(p,iA)|0,i=i+Math.imul(p,oA)|0,r=r+Math.imul(h,sA)|0,n=(n=n+Math.imul(h,uA)|0)+Math.imul(E,sA)|0,i=i+Math.imul(E,uA)|0,r=r+Math.imul(Q,cA)|0,n=(n=n+Math.imul(Q,BA)|0)+Math.imul(I,cA)|0,i=i+Math.imul(I,BA)|0;var DA=(u+(r=r+Math.imul(c,QA)|0)|0)+((8191&(n=(n=n+Math.imul(c,IA)|0)+Math.imul(B,QA)|0))<<13)|0;u=((i=i+Math.imul(B,IA)|0)+(n>>>13)|0)+(DA>>>26)|0,DA&=67108863,r=Math.imul(k,J),n=(n=Math.imul(k,O))+Math.imul(Y,J)|0,i=Math.imul(Y,O),r=r+Math.imul(M,j)|0,n=(n=n+Math.imul(M,z)|0)+Math.imul(L,j)|0,i=i+Math.imul(L,z)|0,r=r+Math.imul(R,Z)|0,n=(n=n+Math.imul(R,W)|0)+Math.imul(H,Z)|0,i=i+Math.imul(H,W)|0,r=r+Math.imul(U,$)|0,n=(n=n+Math.imul(U,AA)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,AA)|0,r=r+Math.imul(b,tA)|0,n=(n=n+Math.imul(b,rA)|0)+Math.imul(w,tA)|0,i=i+Math.imul(w,rA)|0,r=r+Math.imul(y,iA)|0,n=(n=n+Math.imul(y,oA)|0)+Math.imul(v,iA)|0,i=i+Math.imul(v,oA)|0,r=r+Math.imul(C,sA)|0,n=(n=n+Math.imul(C,uA)|0)+Math.imul(p,sA)|0,i=i+Math.imul(p,uA)|0,r=r+Math.imul(h,cA)|0,n=(n=n+Math.imul(h,BA)|0)+Math.imul(E,cA)|0,i=i+Math.imul(E,BA)|0;var bA=(u+(r=r+Math.imul(Q,QA)|0)|0)+((8191&(n=(n=n+Math.imul(Q,IA)|0)+Math.imul(I,QA)|0))<<13)|0;u=((i=i+Math.imul(I,IA)|0)+(n>>>13)|0)+(bA>>>26)|0,bA&=67108863,r=Math.imul(k,j),n=(n=Math.imul(k,z))+Math.imul(Y,j)|0,i=Math.imul(Y,z),r=r+Math.imul(M,Z)|0,n=(n=n+Math.imul(M,W)|0)+Math.imul(L,Z)|0,i=i+Math.imul(L,W)|0,r=r+Math.imul(R,$)|0,n=(n=n+Math.imul(R,AA)|0)+Math.imul(H,$)|0,i=i+Math.imul(H,AA)|0,r=r+Math.imul(U,tA)|0,n=(n=n+Math.imul(U,rA)|0)+Math.imul(S,tA)|0,i=i+Math.imul(S,rA)|0,r=r+Math.imul(b,iA)|0,n=(n=n+Math.imul(b,oA)|0)+Math.imul(w,iA)|0,i=i+Math.imul(w,oA)|0,r=r+Math.imul(y,sA)|0,n=(n=n+Math.imul(y,uA)|0)+Math.imul(v,sA)|0,i=i+Math.imul(v,uA)|0,r=r+Math.imul(C,cA)|0,n=(n=n+Math.imul(C,BA)|0)+Math.imul(p,cA)|0,i=i+Math.imul(p,BA)|0;var wA=(u+(r=r+Math.imul(h,QA)|0)|0)+((8191&(n=(n=n+Math.imul(h,IA)|0)+Math.imul(E,QA)|0))<<13)|0;u=((i=i+Math.imul(E,IA)|0)+(n>>>13)|0)+(wA>>>26)|0,wA&=67108863,r=Math.imul(k,Z),n=(n=Math.imul(k,W))+Math.imul(Y,Z)|0,i=Math.imul(Y,W),r=r+Math.imul(M,$)|0,n=(n=n+Math.imul(M,AA)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,AA)|0,r=r+Math.imul(R,tA)|0,n=(n=n+Math.imul(R,rA)|0)+Math.imul(H,tA)|0,i=i+Math.imul(H,rA)|0,r=r+Math.imul(U,iA)|0,n=(n=n+Math.imul(U,oA)|0)+Math.imul(S,iA)|0,i=i+Math.imul(S,oA)|0,r=r+Math.imul(b,sA)|0,n=(n=n+Math.imul(b,uA)|0)+Math.imul(w,sA)|0,i=i+Math.imul(w,uA)|0,r=r+Math.imul(y,cA)|0,n=(n=n+Math.imul(y,BA)|0)+Math.imul(v,cA)|0,i=i+Math.imul(v,BA)|0;var FA=(u+(r=r+Math.imul(C,QA)|0)|0)+((8191&(n=(n=n+Math.imul(C,IA)|0)+Math.imul(p,QA)|0))<<13)|0;u=((i=i+Math.imul(p,IA)|0)+(n>>>13)|0)+(FA>>>26)|0,FA&=67108863,r=Math.imul(k,$),n=(n=Math.imul(k,AA))+Math.imul(Y,$)|0,i=Math.imul(Y,AA),r=r+Math.imul(M,tA)|0,n=(n=n+Math.imul(M,rA)|0)+Math.imul(L,tA)|0,i=i+Math.imul(L,rA)|0,r=r+Math.imul(R,iA)|0,n=(n=n+Math.imul(R,oA)|0)+Math.imul(H,iA)|0,i=i+Math.imul(H,oA)|0,r=r+Math.imul(U,sA)|0,n=(n=n+Math.imul(U,uA)|0)+Math.imul(S,sA)|0,i=i+Math.imul(S,uA)|0,r=r+Math.imul(b,cA)|0,n=(n=n+Math.imul(b,BA)|0)+Math.imul(w,cA)|0,i=i+Math.imul(w,BA)|0;var UA=(u+(r=r+Math.imul(y,QA)|0)|0)+((8191&(n=(n=n+Math.imul(y,IA)|0)+Math.imul(v,QA)|0))<<13)|0;u=((i=i+Math.imul(v,IA)|0)+(n>>>13)|0)+(UA>>>26)|0,UA&=67108863,r=Math.imul(k,tA),n=(n=Math.imul(k,rA))+Math.imul(Y,tA)|0,i=Math.imul(Y,rA),r=r+Math.imul(M,iA)|0,n=(n=n+Math.imul(M,oA)|0)+Math.imul(L,iA)|0,i=i+Math.imul(L,oA)|0,r=r+Math.imul(R,sA)|0,n=(n=n+Math.imul(R,uA)|0)+Math.imul(H,sA)|0,i=i+Math.imul(H,uA)|0,r=r+Math.imul(U,cA)|0,n=(n=n+Math.imul(U,BA)|0)+Math.imul(S,cA)|0,i=i+Math.imul(S,BA)|0;var SA=(u+(r=r+Math.imul(b,QA)|0)|0)+((8191&(n=(n=n+Math.imul(b,IA)|0)+Math.imul(w,QA)|0))<<13)|0;u=((i=i+Math.imul(w,IA)|0)+(n>>>13)|0)+(SA>>>26)|0,SA&=67108863,r=Math.imul(k,iA),n=(n=Math.imul(k,oA))+Math.imul(Y,iA)|0,i=Math.imul(Y,oA),r=r+Math.imul(M,sA)|0,n=(n=n+Math.imul(M,uA)|0)+Math.imul(L,sA)|0,i=i+Math.imul(L,uA)|0,r=r+Math.imul(R,cA)|0,n=(n=n+Math.imul(R,BA)|0)+Math.imul(H,cA)|0,i=i+Math.imul(H,BA)|0;var NA=(u+(r=r+Math.imul(U,QA)|0)|0)+((8191&(n=(n=n+Math.imul(U,IA)|0)+Math.imul(S,QA)|0))<<13)|0;u=((i=i+Math.imul(S,IA)|0)+(n>>>13)|0)+(NA>>>26)|0,NA&=67108863,r=Math.imul(k,sA),n=(n=Math.imul(k,uA))+Math.imul(Y,sA)|0,i=Math.imul(Y,uA),r=r+Math.imul(M,cA)|0,n=(n=n+Math.imul(M,BA)|0)+Math.imul(L,cA)|0,i=i+Math.imul(L,BA)|0;var RA=(u+(r=r+Math.imul(R,QA)|0)|0)+((8191&(n=(n=n+Math.imul(R,IA)|0)+Math.imul(H,QA)|0))<<13)|0;u=((i=i+Math.imul(H,IA)|0)+(n>>>13)|0)+(RA>>>26)|0,RA&=67108863,r=Math.imul(k,cA),n=(n=Math.imul(k,BA))+Math.imul(Y,cA)|0,i=Math.imul(Y,BA);var HA=(u+(r=r+Math.imul(M,QA)|0)|0)+((8191&(n=(n=n+Math.imul(M,IA)|0)+Math.imul(L,QA)|0))<<13)|0;u=((i=i+Math.imul(L,IA)|0)+(n>>>13)|0)+(HA>>>26)|0,HA&=67108863;var GA=(u+(r=Math.imul(k,QA))|0)+((8191&(n=(n=Math.imul(k,IA))+Math.imul(Y,QA)|0))<<13)|0;return u=((i=Math.imul(Y,IA))+(n>>>13)|0)+(GA>>>26)|0,GA&=67108863,s[0]=dA,s[1]=hA,s[2]=EA,s[3]=fA,s[4]=CA,s[5]=pA,s[6]=mA,s[7]=yA,s[8]=vA,s[9]=DA,s[10]=bA,s[11]=wA,s[12]=FA,s[13]=UA,s[14]=SA,s[15]=NA,s[16]=RA,s[17]=HA,s[18]=GA,0!==u&&(s[19]=u,t.length++),t};function I(A,e,t){return(new d).mulp(A,e,t)}function d(A,e){this.x=A,this.y=e}Math.imul||(Q=l),i.prototype.mulTo=function(A,e){var t,r=this.length+A.length;return t=10===this.length&&10===A.length?Q(this,A,e):r<63?l(this,A,e):r<1024?function(A,e,t){t.negative=e.negative^A.negative,t.length=A.length+e.length;for(var r=0,n=0,i=0;i<t.length-1;i++){var o=n;n=0;for(var a=67108863&r,s=Math.min(i,e.length-1),u=Math.max(0,i-A.length+1);u<=s;u++){var g=i-u,c=(0|A.words[g])*(0|e.words[u]),B=67108863&c;a=67108863&(B=B+a|0),n+=(o=(o=o+(c/67108864|0)|0)+(B>>>26)|0)>>>26,o&=67108863}t.words[i]=a,r=o,o=n}return 0!==r?t.words[i]=r:t.length--,t.strip()}(this,A,e):I(this,A,e),t},d.prototype.makeRBT=function(A){for(var e=new Array(A),t=i.prototype._countBits(A)-1,r=0;r<A;r++)e[r]=this.revBin(r,t,A);return e},d.prototype.revBin=function(A,e,t){if(0===A||A===t-1)return A;for(var r=0,n=0;n<e;n++)r|=(1&A)<<e-n-1,A>>=1;return r},d.prototype.permute=function(A,e,t,r,n,i){for(var o=0;o<i;o++)r[o]=e[A[o]],n[o]=t[A[o]]},d.prototype.transform=function(A,e,t,r,n,i){this.permute(i,A,e,t,r,n);for(var o=1;o<n;o<<=1)for(var a=o<<1,s=Math.cos(2*Math.PI/a),u=Math.sin(2*Math.PI/a),g=0;g<n;g+=a)for(var c=s,B=u,l=0;l<o;l++){var Q=t[g+l],I=r[g+l],d=t[g+l+o],h=r[g+l+o],E=c*d-B*h;h=c*h+B*d,d=E,t[g+l]=Q+d,r[g+l]=I+h,t[g+l+o]=Q-d,r[g+l+o]=I-h,l!==a&&(E=s*c-u*B,B=s*B+u*c,c=E)}},d.prototype.guessLen13b=function(A,e){var t=1|Math.max(e,A),r=1&t,n=0;for(t=t/2|0;t;t>>>=1)n++;return 1<<n+1+r},d.prototype.conjugate=function(A,e,t){if(!(t<=1))for(var r=0;r<t/2;r++){var n=A[r];A[r]=A[t-r-1],A[t-r-1]=n,n=e[r],e[r]=-e[t-r-1],e[t-r-1]=-n}},d.prototype.normalize13b=function(A,e){for(var t=0,r=0;r<e/2;r++){var n=8192*Math.round(A[2*r+1]/e)+Math.round(A[2*r]/e)+t;A[r]=67108863&n,t=n<67108864?0:n/67108864|0}return A},d.prototype.convert13b=function(A,e,t,n){for(var i=0,o=0;o<e;o++)i+=0|A[o],t[2*o]=8191&i,i>>>=13,t[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<n;++o)t[o]=0;r(0===i),r(0==(-8192&i))},d.prototype.stub=function(A){for(var e=new Array(A),t=0;t<A;t++)e[t]=0;return e},d.prototype.mulp=function(A,e,t){var r=2*this.guessLen13b(A.length,e.length),n=this.makeRBT(r),i=this.stub(r),o=new Array(r),a=new Array(r),s=new Array(r),u=new Array(r),g=new Array(r),c=new Array(r),B=t.words;B.length=r,this.convert13b(A.words,A.length,o,r),this.convert13b(e.words,e.length,u,r),this.transform(o,i,a,s,r,n),this.transform(u,i,g,c,r,n);for(var l=0;l<r;l++){var Q=a[l]*g[l]-s[l]*c[l];s[l]=a[l]*c[l]+s[l]*g[l],a[l]=Q}return this.conjugate(a,s,r),this.transform(a,s,B,i,r,n),this.conjugate(B,i,r),this.normalize13b(B,r),t.negative=A.negative^e.negative,t.length=A.length+e.length,t.strip()},i.prototype.mul=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),this.mulTo(A,e)},i.prototype.mulf=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),I(this,A,e)},i.prototype.imul=function(A){return this.clone().mulTo(A,this)},i.prototype.imuln=function(A){r("number"==typeof A),r(A<67108864);for(var e=0,t=0;t<this.length;t++){var n=(0|this.words[t])*A,i=(67108863&n)+(67108863&e);e>>=26,e+=n/67108864|0,e+=i>>>26,this.words[t]=67108863&i}return 0!==e&&(this.words[t]=e,this.length++),this},i.prototype.muln=function(A){return this.clone().imuln(A)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(A){var e=function(A){for(var e=new Array(A.bitLength()),t=0;t<e.length;t++){var r=t/26|0,n=t%26;e[t]=(A.words[r]&1<<n)>>>n}return e}(A);if(0===e.length)return new i(1);for(var t=this,r=0;r<e.length&&0===e[r];r++,t=t.sqr());if(++r<e.length)for(var n=t.sqr();r<e.length;r++,n=n.sqr())0!==e[r]&&(t=t.mul(n));return t},i.prototype.iushln=function(A){r("number"==typeof A&&A>=0);var e,t=A%26,n=(A-t)/26,i=67108863>>>26-t<<26-t;if(0!==t){var o=0;for(e=0;e<this.length;e++){var a=this.words[e]&i,s=(0|this.words[e])-a<<t;this.words[e]=s|o,o=a>>>26-t}o&&(this.words[e]=o,this.length++)}if(0!==n){for(e=this.length-1;e>=0;e--)this.words[e+n]=this.words[e];for(e=0;e<n;e++)this.words[e]=0;this.length+=n}return this.strip()},i.prototype.ishln=function(A){return r(0===this.negative),this.iushln(A)},i.prototype.iushrn=function(A,e,t){var n;r("number"==typeof A&&A>=0),n=e?(e-e%26)/26:0;var i=A%26,o=Math.min((A-i)/26,this.length),a=67108863^67108863>>>i<<i,s=t;if(n-=o,n=Math.max(0,n),s){for(var u=0;u<o;u++)s.words[u]=this.words[u];s.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var g=0;for(u=this.length-1;u>=0&&(0!==g||u>=n);u--){var c=0|this.words[u];this.words[u]=g<<26-i|c>>>i,g=c&a}return s&&0!==g&&(s.words[s.length++]=g),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(A,e,t){return r(0===this.negative),this.iushrn(A,e,t)},i.prototype.shln=function(A){return this.clone().ishln(A)},i.prototype.ushln=function(A){return this.clone().iushln(A)},i.prototype.shrn=function(A){return this.clone().ishrn(A)},i.prototype.ushrn=function(A){return this.clone().iushrn(A)},i.prototype.testn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26,n=1<<e;return!(this.length<=t||!(this.words[t]&n))},i.prototype.imaskn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=t)return this;if(0!==e&&t++,this.length=Math.min(t,this.length),0!==e){var n=67108863^67108863>>>e<<e;this.words[this.length-1]&=n}return this.strip()},i.prototype.maskn=function(A){return this.clone().imaskn(A)},i.prototype.iaddn=function(A){return r("number"==typeof A),r(A<67108864),A<0?this.isubn(-A):0!==this.negative?1===this.length&&(0|this.words[0])<A?(this.words[0]=A-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(A),this.negative=1,this):this._iaddn(A)},i.prototype._iaddn=function(A){this.words[0]+=A;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(A){if(r("number"==typeof A),r(A<67108864),A<0)return this.iaddn(-A);if(0!==this.negative)return this.negative=0,this.iaddn(A),this.negative=1,this;if(this.words[0]-=A,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(A){return this.clone().iaddn(A)},i.prototype.subn=function(A){return this.clone().isubn(A)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(A,e,t){var n,i,o=A.length+t;this._expand(o);var a=0;for(n=0;n<A.length;n++){i=(0|this.words[n+t])+a;var s=(0|A.words[n])*e;a=((i-=67108863&s)>>26)-(s/67108864|0),this.words[n+t]=67108863&i}for(;n<this.length-t;n++)a=(i=(0|this.words[n+t])+a)>>26,this.words[n+t]=67108863&i;if(0===a)return this.strip();for(r(-1===a),a=0,n=0;n<this.length;n++)a=(i=-(0|this.words[n])+a)>>26,this.words[n]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(A,e){var t=(this.length,A.length),r=this.clone(),n=A,o=0|n.words[n.length-1];0!=(t=26-this._countBits(o))&&(n=n.ushln(t),r.iushln(t),o=0|n.words[n.length-1]);var a,s=r.length-n.length;if("mod"!==e){(a=new i(null)).length=s+1,a.words=new Array(a.length);for(var u=0;u<a.length;u++)a.words[u]=0}var g=r.clone()._ishlnsubmul(n,1,s);0===g.negative&&(r=g,a&&(a.words[s]=1));for(var c=s-1;c>=0;c--){var B=67108864*(0|r.words[n.length+c])+(0|r.words[n.length+c-1]);for(B=Math.min(B/o|0,67108863),r._ishlnsubmul(n,B,c);0!==r.negative;)B--,r.negative=0,r._ishlnsubmul(n,1,c),r.isZero()||(r.negative^=1);a&&(a.words[c]=B)}return a&&a.strip(),r.strip(),"div"!==e&&0!==t&&r.iushrn(t),{div:a||null,mod:r}},i.prototype.divmod=function(A,e,t){return r(!A.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===A.negative?(a=this.neg().divmod(A,e),"mod"!==e&&(n=a.div.neg()),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.iadd(A)),{div:n,mod:o}):0===this.negative&&0!==A.negative?(a=this.divmod(A.neg(),e),"mod"!==e&&(n=a.div.neg()),{div:n,mod:a.mod}):0!=(this.negative&A.negative)?(a=this.neg().divmod(A.neg(),e),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.isub(A)),{div:a.div,mod:o}):A.length>this.length||this.cmp(A)<0?{div:new i(0),mod:this}:1===A.length?"div"===e?{div:this.divn(A.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(A.words[0]))}:{div:this.divn(A.words[0]),mod:new i(this.modn(A.words[0]))}:this._wordDiv(A,e);var n,o,a},i.prototype.div=function(A){return this.divmod(A,"div",!1).div},i.prototype.mod=function(A){return this.divmod(A,"mod",!1).mod},i.prototype.umod=function(A){return this.divmod(A,"mod",!0).mod},i.prototype.divRound=function(A){var e=this.divmod(A);if(e.mod.isZero())return e.div;var t=0!==e.div.negative?e.mod.isub(A):e.mod,r=A.ushrn(1),n=A.andln(1),i=t.cmp(r);return i<0||1===n&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(A){r(A<=67108863);for(var e=(1<<26)%A,t=0,n=this.length-1;n>=0;n--)t=(e*t+(0|this.words[n]))%A;return t},i.prototype.idivn=function(A){r(A<=67108863);for(var e=0,t=this.length-1;t>=0;t--){var n=(0|this.words[t])+67108864*e;this.words[t]=n/A|0,e=n%A}return this.strip()},i.prototype.divn=function(A){return this.clone().idivn(A)},i.prototype.egcd=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n=new i(1),o=new i(0),a=new i(0),s=new i(1),u=0;e.isEven()&&t.isEven();)e.iushrn(1),t.iushrn(1),++u;for(var g=t.clone(),c=e.clone();!e.isZero();){for(var B=0,l=1;0==(e.words[0]&l)&&B<26;++B,l<<=1);if(B>0)for(e.iushrn(B);B-- >0;)(n.isOdd()||o.isOdd())&&(n.iadd(g),o.isub(c)),n.iushrn(1),o.iushrn(1);for(var Q=0,I=1;0==(t.words[0]&I)&&Q<26;++Q,I<<=1);if(Q>0)for(t.iushrn(Q);Q-- >0;)(a.isOdd()||s.isOdd())&&(a.iadd(g),s.isub(c)),a.iushrn(1),s.iushrn(1);e.cmp(t)>=0?(e.isub(t),n.isub(a),o.isub(s)):(t.isub(e),a.isub(n),s.isub(o))}return{a,b:s,gcd:t.iushln(u)}},i.prototype._invmp=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n,o=new i(1),a=new i(0),s=t.clone();e.cmpn(1)>0&&t.cmpn(1)>0;){for(var u=0,g=1;0==(e.words[0]&g)&&u<26;++u,g<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);for(var c=0,B=1;0==(t.words[0]&B)&&c<26;++c,B<<=1);if(c>0)for(t.iushrn(c);c-- >0;)a.isOdd()&&a.iadd(s),a.iushrn(1);e.cmp(t)>=0?(e.isub(t),o.isub(a)):(t.isub(e),a.isub(o))}return(n=0===e.cmpn(1)?o:a).cmpn(0)<0&&n.iadd(A),n},i.prototype.gcd=function(A){if(this.isZero())return A.abs();if(A.isZero())return this.abs();var e=this.clone(),t=A.clone();e.negative=0,t.negative=0;for(var r=0;e.isEven()&&t.isEven();r++)e.iushrn(1),t.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;t.isEven();)t.iushrn(1);var n=e.cmp(t);if(n<0){var i=e;e=t,t=i}else if(0===n||0===t.cmpn(1))break;e.isub(t)}return t.iushln(r)},i.prototype.invm=function(A){return this.egcd(A).a.umod(A)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(A){return this.words[0]&A},i.prototype.bincn=function(A){r("number"==typeof A);var e=A%26,t=(A-e)/26,n=1<<e;if(this.length<=t)return this._expand(t+1),this.words[t]|=n,this;for(var i=n,o=t;0!==i&&o<this.length;o++){var a=0|this.words[o];i=(a+=i)>>>26,a&=67108863,this.words[o]=a}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(A){var e,t=A<0;if(0!==this.negative&&!t)return-1;if(0===this.negative&&t)return 1;if(this.strip(),this.length>1)e=1;else{t&&(A=-A),r(A<=67108863,"Number is too big");var n=0|this.words[0];e=n===A?0:n<A?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(A){if(0!==this.negative&&0===A.negative)return-1;if(0===this.negative&&0!==A.negative)return 1;var e=this.ucmp(A);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(A){if(this.length>A.length)return 1;if(this.length<A.length)return-1;for(var e=0,t=this.length-1;t>=0;t--){var r=0|this.words[t],n=0|A.words[t];if(r!==n){r<n?e=-1:r>n&&(e=1);break}}return e},i.prototype.gtn=function(A){return 1===this.cmpn(A)},i.prototype.gt=function(A){return 1===this.cmp(A)},i.prototype.gten=function(A){return this.cmpn(A)>=0},i.prototype.gte=function(A){return this.cmp(A)>=0},i.prototype.ltn=function(A){return-1===this.cmpn(A)},i.prototype.lt=function(A){return-1===this.cmp(A)},i.prototype.lten=function(A){return this.cmpn(A)<=0},i.prototype.lte=function(A){return this.cmp(A)<=0},i.prototype.eqn=function(A){return 0===this.cmpn(A)},i.prototype.eq=function(A){return 0===this.cmp(A)},i.red=function(A){return new y(A)},i.prototype.toRed=function(A){return r(!this.red,"Already a number in reduction context"),r(0===this.negative,"red works only with positives"),A.convertTo(this)._forceRed(A)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(A){return this.red=A,this},i.prototype.forceRed=function(A){return r(!this.red,"Already a number in reduction context"),this._forceRed(A)},i.prototype.redAdd=function(A){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,A)},i.prototype.redIAdd=function(A){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,A)},i.prototype.redSub=function(A){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,A)},i.prototype.redISub=function(A){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,A)},i.prototype.redShl=function(A){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,A)},i.prototype.redMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.mul(this,A)},i.prototype.redIMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.imul(this,A)},i.prototype.redSqr=function(){return r(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return r(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return r(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return r(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return r(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(A){return r(this.red&&!A.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,A)};var h={k256:null,p224:null,p192:null,p25519:null};function E(A,e){this.name=A,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function f(){E.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function C(){E.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function p(){E.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function m(){E.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function y(A){if("string"==typeof A){var e=i._prime(A);this.m=e.p,this.prime=e}else r(A.gtn(1),"modulus must be greater than 1"),this.m=A,this.prime=null}function v(A){y.call(this,A),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}E.prototype._tmp=function(){var A=new i(null);return A.words=new Array(Math.ceil(this.n/13)),A},E.prototype.ireduce=function(A){var e,t=A;do{this.split(t,this.tmp),e=(t=(t=this.imulK(t)).iadd(this.tmp)).bitLength()}while(e>this.n);var r=e<this.n?-1:t.ucmp(this.p);return 0===r?(t.words[0]=0,t.length=1):r>0?t.isub(this.p):void 0!==t.strip?t.strip():t._strip(),t},E.prototype.split=function(A,e){A.iushrn(this.n,0,e)},E.prototype.imulK=function(A){return A.imul(this.k)},n(f,E),f.prototype.split=function(A,e){for(var t=4194303,r=Math.min(A.length,9),n=0;n<r;n++)e.words[n]=A.words[n];if(e.length=r,A.length<=9)return A.words[0]=0,void(A.length=1);var i=A.words[9];for(e.words[e.length++]=i&t,n=10;n<A.length;n++){var o=0|A.words[n];A.words[n-10]=(o&t)<<4|i>>>22,i=o}i>>>=22,A.words[n-10]=i,0===i&&A.length>10?A.length-=10:A.length-=9},f.prototype.imulK=function(A){A.words[A.length]=0,A.words[A.length+1]=0,A.length+=2;for(var e=0,t=0;t<A.length;t++){var r=0|A.words[t];e+=977*r,A.words[t]=67108863&e,e=64*r+(e/67108864|0)}return 0===A.words[A.length-1]&&(A.length--,0===A.words[A.length-1]&&A.length--),A},n(C,E),n(p,E),n(m,E),m.prototype.imulK=function(A){for(var e=0,t=0;t<A.length;t++){var r=19*(0|A.words[t])+e,n=67108863&r;r>>>=26,A.words[t]=n,e=r}return 0!==e&&(A.words[A.length++]=e),A},i._prime=function(A){if(h[A])return h[A];var e;if("k256"===A)e=new f;else if("p224"===A)e=new C;else if("p192"===A)e=new p;else{if("p25519"!==A)throw new Error("Unknown prime "+A);e=new m}return h[A]=e,e},y.prototype._verify1=function(A){r(0===A.negative,"red works only with positives"),r(A.red,"red works only with red numbers")},y.prototype._verify2=function(A,e){r(0==(A.negative|e.negative),"red works only with positives"),r(A.red&&A.red===e.red,"red works only with red numbers")},y.prototype.imod=function(A){return this.prime?this.prime.ireduce(A)._forceRed(this):A.umod(this.m)._forceRed(this)},y.prototype.neg=function(A){return A.isZero()?A.clone():this.m.sub(A)._forceRed(this)},y.prototype.add=function(A,e){this._verify2(A,e);var t=A.add(e);return t.cmp(this.m)>=0&&t.isub(this.m),t._forceRed(this)},y.prototype.iadd=function(A,e){this._verify2(A,e);var t=A.iadd(e);return t.cmp(this.m)>=0&&t.isub(this.m),t},y.prototype.sub=function(A,e){this._verify2(A,e);var t=A.sub(e);return t.cmpn(0)<0&&t.iadd(this.m),t._forceRed(this)},y.prototype.isub=function(A,e){this._verify2(A,e);var t=A.isub(e);return t.cmpn(0)<0&&t.iadd(this.m),t},y.prototype.shl=function(A,e){return this._verify1(A),this.imod(A.ushln(e))},y.prototype.imul=function(A,e){return this._verify2(A,e),this.imod(A.imul(e))},y.prototype.mul=function(A,e){return this._verify2(A,e),this.imod(A.mul(e))},y.prototype.isqr=function(A){return this.imul(A,A.clone())},y.prototype.sqr=function(A){return this.mul(A,A)},y.prototype.sqrt=function(A){if(A.isZero())return A.clone();var e=this.m.andln(3);if(r(e%2==1),3===e){var t=this.m.add(new i(1)).iushrn(2);return this.pow(A,t)}for(var n=this.m.subn(1),o=0;!n.isZero()&&0===n.andln(1);)o++,n.iushrn(1);r(!n.isZero());var a=new i(1).toRed(this),s=a.redNeg(),u=this.m.subn(1).iushrn(1),g=this.m.bitLength();for(g=new i(2*g*g).toRed(this);0!==this.pow(g,u).cmp(s);)g.redIAdd(s);for(var c=this.pow(g,n),B=this.pow(A,n.addn(1).iushrn(1)),l=this.pow(A,n),Q=o;0!==l.cmp(a);){for(var I=l,d=0;0!==I.cmp(a);d++)I=I.redSqr();r(d<Q);var h=this.pow(c,new i(1).iushln(Q-d-1));B=B.redMul(h),c=h.redSqr(),l=l.redMul(c),Q=d}return B},y.prototype.invm=function(A){var e=A._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},y.prototype.pow=function(A,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return A.clone();var t=new Array(16);t[0]=new i(1).toRed(this),t[1]=A;for(var r=2;r<t.length;r++)t[r]=this.mul(t[r-1],A);var n=t[0],o=0,a=0,s=e.bitLength()%26;for(0===s&&(s=26),r=e.length-1;r>=0;r--){for(var u=e.words[r],g=s-1;g>=0;g--){var c=u>>g&1;n!==t[0]&&(n=this.sqr(n)),0!==c||0!==o?(o<<=1,o|=c,(4==++a||0===r&&0===g)&&(n=this.mul(n,t[o]),a=0,o=0)):a=0}s=26}return n},y.prototype.convertTo=function(A){var e=A.umod(this.m);return e===A?e.clone():e},y.prototype.convertFrom=function(A){var e=A.clone();return e.red=null,e},i.mont=function(A){return new v(A)},n(v,y),v.prototype.convertTo=function(A){return this.imod(A.ushln(this.shift))},v.prototype.convertFrom=function(A){var e=this.imod(A.mul(this.rinv));return e.red=null,e},v.prototype.imul=function(A,e){if(A.isZero()||e.isZero())return A.words[0]=0,A.length=1,A;var t=A.imul(e),r=t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),n=t.isub(r).iushrn(this.shift),i=n;return n.cmp(this.m)>=0?i=n.isub(this.m):n.cmpn(0)<0&&(i=n.iadd(this.m)),i._forceRed(this)},v.prototype.mul=function(A,e){if(A.isZero()||e.isZero())return new i(0)._forceRed(this);var t=A.mul(e),r=t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),n=t.isub(r).iushrn(this.shift),o=n;return n.cmp(this.m)>=0?o=n.isub(this.m):n.cmpn(0)<0&&(o=n.iadd(this.m)),o._forceRed(this)},v.prototype.invm=function(A){return this.imod(A._invmp(this.m).mul(this.r2))._forceRed(this)}}(A=t.nmd(A),this)},6266:(A,e,t)=>{"use strict";var r=e;r.version=t(8597).i8,r.utils=t(953),r.rand=t(9931),r.curve=t(8254),r.curves=t(5427),r.ec=t(7954),r.eddsa=t(5980)},4918:(A,e,t)=>{"use strict";var r=t(3785),n=t(953),i=n.getNAF,o=n.getJSF,a=n.assert;function s(A,e){this.type=A,this.p=new r(e.p,16),this.red=e.prime?r.red(e.prime):r.mont(this.p),this.zero=new r(0).toRed(this.red),this.one=new r(1).toRed(this.red),this.two=new r(2).toRed(this.red),this.n=e.n&&new r(e.n,16),this.g=e.g&&this.pointFromJSON(e.g,e.gRed),this._wnafT1=new Array(4),this._wnafT2=new Array(4),this._wnafT3=new Array(4),this._wnafT4=new Array(4),this._bitLength=this.n?this.n.bitLength():0;var t=this.n&&this.p.div(this.n);!t||t.cmpn(100)>0?this.redN=null:(this._maxwellTrick=!0,this.redN=this.n.toRed(this.red))}function u(A,e){this.curve=A,this.type=e,this.precomputed=null}A.exports=s,s.prototype.point=function(){throw new Error("Not implemented")},s.prototype.validate=function(){throw new Error("Not implemented")},s.prototype._fixedNafMul=function(A,e){a(A.precomputed);var t=A._getDoubles(),r=i(e,1,this._bitLength),n=(1<<t.step+1)-(t.step%2==0?2:1);n/=3;var o,s,u=[];for(o=0;o<r.length;o+=t.step){s=0;for(var g=o+t.step-1;g>=o;g--)s=(s<<1)+r[g];u.push(s)}for(var c=this.jpoint(null,null,null),B=this.jpoint(null,null,null),l=n;l>0;l--){for(o=0;o<u.length;o++)(s=u[o])===l?B=B.mixedAdd(t.points[o]):s===-l&&(B=B.mixedAdd(t.points[o].neg()));c=c.add(B)}return c.toP()},s.prototype._wnafMul=function(A,e){var t=4,r=A._getNAFPoints(t);t=r.wnd;for(var n=r.points,o=i(e,t,this._bitLength),s=this.jpoint(null,null,null),u=o.length-1;u>=0;u--){for(var g=0;u>=0&&0===o[u];u--)g++;if(u>=0&&g++,s=s.dblp(g),u<0)break;var c=o[u];a(0!==c),s="affine"===A.type?c>0?s.mixedAdd(n[c-1>>1]):s.mixedAdd(n[-c-1>>1].neg()):c>0?s.add(n[c-1>>1]):s.add(n[-c-1>>1].neg())}return"affine"===A.type?s.toP():s},s.prototype._wnafMulAdd=function(A,e,t,r,n){var a,s,u,g=this._wnafT1,c=this._wnafT2,B=this._wnafT3,l=0;for(a=0;a<r;a++){var Q=(u=e[a])._getNAFPoints(A);g[a]=Q.wnd,c[a]=Q.points}for(a=r-1;a>=1;a-=2){var I=a-1,d=a;if(1===g[I]&&1===g[d]){var h=[e[I],null,null,e[d]];0===e[I].y.cmp(e[d].y)?(h[1]=e[I].add(e[d]),h[2]=e[I].toJ().mixedAdd(e[d].neg())):0===e[I].y.cmp(e[d].y.redNeg())?(h[1]=e[I].toJ().mixedAdd(e[d]),h[2]=e[I].add(e[d].neg())):(h[1]=e[I].toJ().mixedAdd(e[d]),h[2]=e[I].toJ().mixedAdd(e[d].neg()));var E=[-3,-1,-5,-7,0,7,5,1,3],f=o(t[I],t[d]);for(l=Math.max(f[0].length,l),B[I]=new Array(l),B[d]=new Array(l),s=0;s<l;s++){var C=0|f[0][s],p=0|f[1][s];B[I][s]=E[3*(C+1)+(p+1)],B[d][s]=0,c[I]=h}}else B[I]=i(t[I],g[I],this._bitLength),B[d]=i(t[d],g[d],this._bitLength),l=Math.max(B[I].length,l),l=Math.max(B[d].length,l)}var m=this.jpoint(null,null,null),y=this._wnafT4;for(a=l;a>=0;a--){for(var v=0;a>=0;){var D=!0;for(s=0;s<r;s++)y[s]=0|B[s][a],0!==y[s]&&(D=!1);if(!D)break;v++,a--}if(a>=0&&v++,m=m.dblp(v),a<0)break;for(s=0;s<r;s++){var b=y[s];0!==b&&(b>0?u=c[s][b-1>>1]:b<0&&(u=c[s][-b-1>>1].neg()),m="affine"===u.type?m.mixedAdd(u):m.add(u))}}for(a=0;a<r;a++)c[a]=null;return n?m:m.toP()},s.BasePoint=u,u.prototype.eq=function(){throw new Error("Not implemented")},u.prototype.validate=function(){return this.curve.validate(this)},s.prototype.decodePoint=function(A,e){A=n.toArray(A,e);var t=this.p.byteLength();if((4===A[0]||6===A[0]||7===A[0])&&A.length-1==2*t)return 6===A[0]?a(A[A.length-1]%2==0):7===A[0]&&a(A[A.length-1]%2==1),this.point(A.slice(1,1+t),A.slice(1+t,1+2*t));if((2===A[0]||3===A[0])&&A.length-1===t)return this.pointFromX(A.slice(1,1+t),3===A[0]);throw new Error("Unknown point format")},u.prototype.encodeCompressed=function(A){return this.encode(A,!0)},u.prototype._encode=function(A){var e=this.curve.p.byteLength(),t=this.getX().toArray("be",e);return A?[this.getY().isEven()?2:3].concat(t):[4].concat(t,this.getY().toArray("be",e))},u.prototype.encode=function(A,e){return n.encode(this._encode(e),A)},u.prototype.precompute=function(A){if(this.precomputed)return this;var e={doubles:null,naf:null,beta:null};return e.naf=this._getNAFPoints(8),e.doubles=this._getDoubles(4,A),e.beta=this._getBeta(),this.precomputed=e,this},u.prototype._hasDoubles=function(A){if(!this.precomputed)return!1;var e=this.precomputed.doubles;return!!e&&e.points.length>=Math.ceil((A.bitLength()+1)/e.step)},u.prototype._getDoubles=function(A,e){if(this.precomputed&&this.precomputed.doubles)return this.precomputed.doubles;for(var t=[this],r=this,n=0;n<e;n+=A){for(var i=0;i<A;i++)r=r.dbl();t.push(r)}return{step:A,points:t}},u.prototype._getNAFPoints=function(A){if(this.precomputed&&this.precomputed.naf)return this.precomputed.naf;for(var e=[this],t=(1<<A)-1,r=1===t?null:this.dbl(),n=1;n<t;n++)e[n]=e[n-1].add(r);return{wnd:A,points:e}},u.prototype._getBeta=function(){return null},u.prototype.dblp=function(A){for(var e=this,t=0;t<A;t++)e=e.dbl();return e}},1138:(A,e,t)=>{"use strict";var r=t(953),n=t(3785),i=t(5717),o=t(4918),a=r.assert;function s(A){this.twisted=1!=(0|A.a),this.mOneA=this.twisted&&-1==(0|A.a),this.extended=this.mOneA,o.call(this,"edwards",A),this.a=new n(A.a,16).umod(this.red.m),this.a=this.a.toRed(this.red),this.c=new n(A.c,16).toRed(this.red),this.c2=this.c.redSqr(),this.d=new n(A.d,16).toRed(this.red),this.dd=this.d.redAdd(this.d),a(!this.twisted||0===this.c.fromRed().cmpn(1)),this.oneC=1==(0|A.c)}function u(A,e,t,r,i){o.BasePoint.call(this,A,"projective"),null===e&&null===t&&null===r?(this.x=this.curve.zero,this.y=this.curve.one,this.z=this.curve.one,this.t=this.curve.zero,this.zOne=!0):(this.x=new n(e,16),this.y=new n(t,16),this.z=r?new n(r,16):this.curve.one,this.t=i&&new n(i,16),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.y.red||(this.y=this.y.toRed(this.curve.red)),this.z.red||(this.z=this.z.toRed(this.curve.red)),this.t&&!this.t.red&&(this.t=this.t.toRed(this.curve.red)),this.zOne=this.z===this.curve.one,this.curve.extended&&!this.t&&(this.t=this.x.redMul(this.y),this.zOne||(this.t=this.t.redMul(this.z.redInvm()))))}i(s,o),A.exports=s,s.prototype._mulA=function(A){return this.mOneA?A.redNeg():this.a.redMul(A)},s.prototype._mulC=function(A){return this.oneC?A:this.c.redMul(A)},s.prototype.jpoint=function(A,e,t,r){return this.point(A,e,t,r)},s.prototype.pointFromX=function(A,e){(A=new n(A,16)).red||(A=A.toRed(this.red));var t=A.redSqr(),r=this.c2.redSub(this.a.redMul(t)),i=this.one.redSub(this.c2.redMul(this.d).redMul(t)),o=r.redMul(i.redInvm()),a=o.redSqrt();if(0!==a.redSqr().redSub(o).cmp(this.zero))throw new Error("invalid point");var s=a.fromRed().isOdd();return(e&&!s||!e&&s)&&(a=a.redNeg()),this.point(A,a)},s.prototype.pointFromY=function(A,e){(A=new n(A,16)).red||(A=A.toRed(this.red));var t=A.redSqr(),r=t.redSub(this.c2),i=t.redMul(this.d).redMul(this.c2).redSub(this.a),o=r.redMul(i.redInvm());if(0===o.cmp(this.zero)){if(e)throw new Error("invalid point");return this.point(this.zero,A)}var a=o.redSqrt();if(0!==a.redSqr().redSub(o).cmp(this.zero))throw new Error("invalid point");return a.fromRed().isOdd()!==e&&(a=a.redNeg()),this.point(a,A)},s.prototype.validate=function(A){if(A.isInfinity())return!0;A.normalize();var e=A.x.redSqr(),t=A.y.redSqr(),r=e.redMul(this.a).redAdd(t),n=this.c2.redMul(this.one.redAdd(this.d.redMul(e).redMul(t)));return 0===r.cmp(n)},i(u,o.BasePoint),s.prototype.pointFromJSON=function(A){return u.fromJSON(this,A)},s.prototype.point=function(A,e,t,r){return new u(this,A,e,t,r)},u.fromJSON=function(A,e){return new u(A,e[0],e[1],e[2])},u.prototype.inspect=function(){return this.isInfinity()?"<EC Point Infinity>":"<EC Point x: "+this.x.fromRed().toString(16,2)+" y: "+this.y.fromRed().toString(16,2)+" z: "+this.z.fromRed().toString(16,2)+">"},u.prototype.isInfinity=function(){return 0===this.x.cmpn(0)&&(0===this.y.cmp(this.z)||this.zOne&&0===this.y.cmp(this.curve.c))},u.prototype._extDbl=function(){var A=this.x.redSqr(),e=this.y.redSqr(),t=this.z.redSqr();t=t.redIAdd(t);var r=this.curve._mulA(A),n=this.x.redAdd(this.y).redSqr().redISub(A).redISub(e),i=r.redAdd(e),o=i.redSub(t),a=r.redSub(e),s=n.redMul(o),u=i.redMul(a),g=n.redMul(a),c=o.redMul(i);return this.curve.point(s,u,c,g)},u.prototype._projDbl=function(){var A,e,t,r,n,i,o=this.x.redAdd(this.y).redSqr(),a=this.x.redSqr(),s=this.y.redSqr();if(this.curve.twisted){var u=(r=this.curve._mulA(a)).redAdd(s);this.zOne?(A=o.redSub(a).redSub(s).redMul(u.redSub(this.curve.two)),e=u.redMul(r.redSub(s)),t=u.redSqr().redSub(u).redSub(u)):(n=this.z.redSqr(),i=u.redSub(n).redISub(n),A=o.redSub(a).redISub(s).redMul(i),e=u.redMul(r.redSub(s)),t=u.redMul(i))}else r=a.redAdd(s),n=this.curve._mulC(this.z).redSqr(),i=r.redSub(n).redSub(n),A=this.curve._mulC(o.redISub(r)).redMul(i),e=this.curve._mulC(r).redMul(a.redISub(s)),t=r.redMul(i);return this.curve.point(A,e,t)},u.prototype.dbl=function(){return this.isInfinity()?this:this.curve.extended?this._extDbl():this._projDbl()},u.prototype._extAdd=function(A){var e=this.y.redSub(this.x).redMul(A.y.redSub(A.x)),t=this.y.redAdd(this.x).redMul(A.y.redAdd(A.x)),r=this.t.redMul(this.curve.dd).redMul(A.t),n=this.z.redMul(A.z.redAdd(A.z)),i=t.redSub(e),o=n.redSub(r),a=n.redAdd(r),s=t.redAdd(e),u=i.redMul(o),g=a.redMul(s),c=i.redMul(s),B=o.redMul(a);return this.curve.point(u,g,B,c)},u.prototype._projAdd=function(A){var e,t,r=this.z.redMul(A.z),n=r.redSqr(),i=this.x.redMul(A.x),o=this.y.redMul(A.y),a=this.curve.d.redMul(i).redMul(o),s=n.redSub(a),u=n.redAdd(a),g=this.x.redAdd(this.y).redMul(A.x.redAdd(A.y)).redISub(i).redISub(o),c=r.redMul(s).redMul(g);return this.curve.twisted?(e=r.redMul(u).redMul(o.redSub(this.curve._mulA(i))),t=s.redMul(u)):(e=r.redMul(u).redMul(o.redSub(i)),t=this.curve._mulC(s).redMul(u)),this.curve.point(c,e,t)},u.prototype.add=function(A){return this.isInfinity()?A:A.isInfinity()?this:this.curve.extended?this._extAdd(A):this._projAdd(A)},u.prototype.mul=function(A){return this._hasDoubles(A)?this.curve._fixedNafMul(this,A):this.curve._wnafMul(this,A)},u.prototype.mulAdd=function(A,e,t){return this.curve._wnafMulAdd(1,[this,e],[A,t],2,!1)},u.prototype.jmulAdd=function(A,e,t){return this.curve._wnafMulAdd(1,[this,e],[A,t],2,!0)},u.prototype.normalize=function(){if(this.zOne)return this;var A=this.z.redInvm();return this.x=this.x.redMul(A),this.y=this.y.redMul(A),this.t&&(this.t=this.t.redMul(A)),this.z=this.curve.one,this.zOne=!0,this},u.prototype.neg=function(){return this.curve.point(this.x.redNeg(),this.y,this.z,this.t&&this.t.redNeg())},u.prototype.getX=function(){return this.normalize(),this.x.fromRed()},u.prototype.getY=function(){return this.normalize(),this.y.fromRed()},u.prototype.eq=function(A){return this===A||0===this.getX().cmp(A.getX())&&0===this.getY().cmp(A.getY())},u.prototype.eqXToP=function(A){var e=A.toRed(this.curve.red).redMul(this.z);if(0===this.x.cmp(e))return!0;for(var t=A.clone(),r=this.curve.redN.redMul(this.z);;){if(t.iadd(this.curve.n),t.cmp(this.curve.p)>=0)return!1;if(e.redIAdd(r),0===this.x.cmp(e))return!0}},u.prototype.toP=u.prototype.normalize,u.prototype.mixedAdd=u.prototype.add},8254:(A,e,t)=>{"use strict";var r=e;r.base=t(4918),r.short=t(6673),r.mont=t(2881),r.edwards=t(1138)},2881:(A,e,t)=>{"use strict";var r=t(3785),n=t(5717),i=t(4918),o=t(953);function a(A){i.call(this,"mont",A),this.a=new r(A.a,16).toRed(this.red),this.b=new r(A.b,16).toRed(this.red),this.i4=new r(4).toRed(this.red).redInvm(),this.two=new r(2).toRed(this.red),this.a24=this.i4.redMul(this.a.redAdd(this.two))}function s(A,e,t){i.BasePoint.call(this,A,"projective"),null===e&&null===t?(this.x=this.curve.one,this.z=this.curve.zero):(this.x=new r(e,16),this.z=new r(t,16),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.z.red||(this.z=this.z.toRed(this.curve.red)))}n(a,i),A.exports=a,a.prototype.validate=function(A){var e=A.normalize().x,t=e.redSqr(),r=t.redMul(e).redAdd(t.redMul(this.a)).redAdd(e);return 0===r.redSqrt().redSqr().cmp(r)},n(s,i.BasePoint),a.prototype.decodePoint=function(A,e){return this.point(o.toArray(A,e),1)},a.prototype.point=function(A,e){return new s(this,A,e)},a.prototype.pointFromJSON=function(A){return s.fromJSON(this,A)},s.prototype.precompute=function(){},s.prototype._encode=function(){return this.getX().toArray("be",this.curve.p.byteLength())},s.fromJSON=function(A,e){return new s(A,e[0],e[1]||A.one)},s.prototype.inspect=function(){return this.isInfinity()?"<EC Point Infinity>":"<EC Point x: "+this.x.fromRed().toString(16,2)+" z: "+this.z.fromRed().toString(16,2)+">"},s.prototype.isInfinity=function(){return 0===this.z.cmpn(0)},s.prototype.dbl=function(){var A=this.x.redAdd(this.z).redSqr(),e=this.x.redSub(this.z).redSqr(),t=A.redSub(e),r=A.redMul(e),n=t.redMul(e.redAdd(this.curve.a24.redMul(t)));return this.curve.point(r,n)},s.prototype.add=function(){throw new Error("Not supported on Montgomery curve")},s.prototype.diffAdd=function(A,e){var t=this.x.redAdd(this.z),r=this.x.redSub(this.z),n=A.x.redAdd(A.z),i=A.x.redSub(A.z).redMul(t),o=n.redMul(r),a=e.z.redMul(i.redAdd(o).redSqr()),s=e.x.redMul(i.redISub(o).redSqr());return this.curve.point(a,s)},s.prototype.mul=function(A){for(var e=A.clone(),t=this,r=this.curve.point(null,null),n=[];0!==e.cmpn(0);e.iushrn(1))n.push(e.andln(1));for(var i=n.length-1;i>=0;i--)0===n[i]?(t=t.diffAdd(r,this),r=r.dbl()):(r=t.diffAdd(r,this),t=t.dbl());return r},s.prototype.mulAdd=function(){throw new Error("Not supported on Montgomery curve")},s.prototype.jumlAdd=function(){throw new Error("Not supported on Montgomery curve")},s.prototype.eq=function(A){return 0===this.getX().cmp(A.getX())},s.prototype.normalize=function(){return this.x=this.x.redMul(this.z.redInvm()),this.z=this.curve.one,this},s.prototype.getX=function(){return this.normalize(),this.x.fromRed()}},6673:(A,e,t)=>{"use strict";var r=t(953),n=t(3785),i=t(5717),o=t(4918),a=r.assert;function s(A){o.call(this,"short",A),this.a=new n(A.a,16).toRed(this.red),this.b=new n(A.b,16).toRed(this.red),this.tinv=this.two.redInvm(),this.zeroA=0===this.a.fromRed().cmpn(0),this.threeA=0===this.a.fromRed().sub(this.p).cmpn(-3),this.endo=this._getEndomorphism(A),this._endoWnafT1=new Array(4),this._endoWnafT2=new Array(4)}function u(A,e,t,r){o.BasePoint.call(this,A,"affine"),null===e&&null===t?(this.x=null,this.y=null,this.inf=!0):(this.x=new n(e,16),this.y=new n(t,16),r&&(this.x.forceRed(this.curve.red),this.y.forceRed(this.curve.red)),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.y.red||(this.y=this.y.toRed(this.curve.red)),this.inf=!1)}function g(A,e,t,r){o.BasePoint.call(this,A,"jacobian"),null===e&&null===t&&null===r?(this.x=this.curve.one,this.y=this.curve.one,this.z=new n(0)):(this.x=new n(e,16),this.y=new n(t,16),this.z=new n(r,16)),this.x.red||(this.x=this.x.toRed(this.curve.red)),this.y.red||(this.y=this.y.toRed(this.curve.red)),this.z.red||(this.z=this.z.toRed(this.curve.red)),this.zOne=this.z===this.curve.one}i(s,o),A.exports=s,s.prototype._getEndomorphism=function(A){if(this.zeroA&&this.g&&this.n&&1===this.p.modn(3)){var e,t;if(A.beta)e=new n(A.beta,16).toRed(this.red);else{var r=this._getEndoRoots(this.p);e=(e=r[0].cmp(r[1])<0?r[0]:r[1]).toRed(this.red)}if(A.lambda)t=new n(A.lambda,16);else{var i=this._getEndoRoots(this.n);0===this.g.mul(i[0]).x.cmp(this.g.x.redMul(e))?t=i[0]:(t=i[1],a(0===this.g.mul(t).x.cmp(this.g.x.redMul(e))))}return{beta:e,lambda:t,basis:A.basis?A.basis.map((function(A){return{a:new n(A.a,16),b:new n(A.b,16)}})):this._getEndoBasis(t)}}},s.prototype._getEndoRoots=function(A){var e=A===this.p?this.red:n.mont(A),t=new n(2).toRed(e).redInvm(),r=t.redNeg(),i=new n(3).toRed(e).redNeg().redSqrt().redMul(t);return[r.redAdd(i).fromRed(),r.redSub(i).fromRed()]},s.prototype._getEndoBasis=function(A){for(var e,t,r,i,o,a,s,u,g,c=this.n.ushrn(Math.floor(this.n.bitLength()/2)),B=A,l=this.n.clone(),Q=new n(1),I=new n(0),d=new n(0),h=new n(1),E=0;0!==B.cmpn(0);){var f=l.div(B);u=l.sub(f.mul(B)),g=d.sub(f.mul(Q));var C=h.sub(f.mul(I));if(!r&&u.cmp(c)<0)e=s.neg(),t=Q,r=u.neg(),i=g;else if(r&&2==++E)break;s=u,l=B,B=u,d=Q,Q=g,h=I,I=C}o=u.neg(),a=g;var p=r.sqr().add(i.sqr());return o.sqr().add(a.sqr()).cmp(p)>=0&&(o=e,a=t),r.negative&&(r=r.neg(),i=i.neg()),o.negative&&(o=o.neg(),a=a.neg()),[{a:r,b:i},{a:o,b:a}]},s.prototype._endoSplit=function(A){var e=this.endo.basis,t=e[0],r=e[1],n=r.b.mul(A).divRound(this.n),i=t.b.neg().mul(A).divRound(this.n),o=n.mul(t.a),a=i.mul(r.a),s=n.mul(t.b),u=i.mul(r.b);return{k1:A.sub(o).sub(a),k2:s.add(u).neg()}},s.prototype.pointFromX=function(A,e){(A=new n(A,16)).red||(A=A.toRed(this.red));var t=A.redSqr().redMul(A).redIAdd(A.redMul(this.a)).redIAdd(this.b),r=t.redSqrt();if(0!==r.redSqr().redSub(t).cmp(this.zero))throw new Error("invalid point");var i=r.fromRed().isOdd();return(e&&!i||!e&&i)&&(r=r.redNeg()),this.point(A,r)},s.prototype.validate=function(A){if(A.inf)return!0;var e=A.x,t=A.y,r=this.a.redMul(e),n=e.redSqr().redMul(e).redIAdd(r).redIAdd(this.b);return 0===t.redSqr().redISub(n).cmpn(0)},s.prototype._endoWnafMulAdd=function(A,e,t){for(var r=this._endoWnafT1,n=this._endoWnafT2,i=0;i<A.length;i++){var o=this._endoSplit(e[i]),a=A[i],s=a._getBeta();o.k1.negative&&(o.k1.ineg(),a=a.neg(!0)),o.k2.negative&&(o.k2.ineg(),s=s.neg(!0)),r[2*i]=a,r[2*i+1]=s,n[2*i]=o.k1,n[2*i+1]=o.k2}for(var u=this._wnafMulAdd(1,r,n,2*i,t),g=0;g<2*i;g++)r[g]=null,n[g]=null;return u},i(u,o.BasePoint),s.prototype.point=function(A,e,t){return new u(this,A,e,t)},s.prototype.pointFromJSON=function(A,e){return u.fromJSON(this,A,e)},u.prototype._getBeta=function(){if(this.curve.endo){var A=this.precomputed;if(A&&A.beta)return A.beta;var e=this.curve.point(this.x.redMul(this.curve.endo.beta),this.y);if(A){var t=this.curve,r=function(A){return t.point(A.x.redMul(t.endo.beta),A.y)};A.beta=e,e.precomputed={beta:null,naf:A.naf&&{wnd:A.naf.wnd,points:A.naf.points.map(r)},doubles:A.doubles&&{step:A.doubles.step,points:A.doubles.points.map(r)}}}return e}},u.prototype.toJSON=function(){return this.precomputed?[this.x,this.y,this.precomputed&&{doubles:this.precomputed.doubles&&{step:this.precomputed.doubles.step,points:this.precomputed.doubles.points.slice(1)},naf:this.precomputed.naf&&{wnd:this.precomputed.naf.wnd,points:this.precomputed.naf.points.slice(1)}}]:[this.x,this.y]},u.fromJSON=function(A,e,t){"string"==typeof e&&(e=JSON.parse(e));var r=A.point(e[0],e[1],t);if(!e[2])return r;function n(e){return A.point(e[0],e[1],t)}var i=e[2];return r.precomputed={beta:null,doubles:i.doubles&&{step:i.doubles.step,points:[r].concat(i.doubles.points.map(n))},naf:i.naf&&{wnd:i.naf.wnd,points:[r].concat(i.naf.points.map(n))}},r},u.prototype.inspect=function(){return this.isInfinity()?"<EC Point Infinity>":"<EC Point x: "+this.x.fromRed().toString(16,2)+" y: "+this.y.fromRed().toString(16,2)+">"},u.prototype.isInfinity=function(){return this.inf},u.prototype.add=function(A){if(this.inf)return A;if(A.inf)return this;if(this.eq(A))return this.dbl();if(this.neg().eq(A))return this.curve.point(null,null);if(0===this.x.cmp(A.x))return this.curve.point(null,null);var e=this.y.redSub(A.y);0!==e.cmpn(0)&&(e=e.redMul(this.x.redSub(A.x).redInvm()));var t=e.redSqr().redISub(this.x).redISub(A.x),r=e.redMul(this.x.redSub(t)).redISub(this.y);return this.curve.point(t,r)},u.prototype.dbl=function(){if(this.inf)return this;var A=this.y.redAdd(this.y);if(0===A.cmpn(0))return this.curve.point(null,null);var e=this.curve.a,t=this.x.redSqr(),r=A.redInvm(),n=t.redAdd(t).redIAdd(t).redIAdd(e).redMul(r),i=n.redSqr().redISub(this.x.redAdd(this.x)),o=n.redMul(this.x.redSub(i)).redISub(this.y);return this.curve.point(i,o)},u.prototype.getX=function(){return this.x.fromRed()},u.prototype.getY=function(){return this.y.fromRed()},u.prototype.mul=function(A){return A=new n(A,16),this.isInfinity()?this:this._hasDoubles(A)?this.curve._fixedNafMul(this,A):this.curve.endo?this.curve._endoWnafMulAdd([this],[A]):this.curve._wnafMul(this,A)},u.prototype.mulAdd=function(A,e,t){var r=[this,e],n=[A,t];return this.curve.endo?this.curve._endoWnafMulAdd(r,n):this.curve._wnafMulAdd(1,r,n,2)},u.prototype.jmulAdd=function(A,e,t){var r=[this,e],n=[A,t];return this.curve.endo?this.curve._endoWnafMulAdd(r,n,!0):this.curve._wnafMulAdd(1,r,n,2,!0)},u.prototype.eq=function(A){return this===A||this.inf===A.inf&&(this.inf||0===this.x.cmp(A.x)&&0===this.y.cmp(A.y))},u.prototype.neg=function(A){if(this.inf)return this;var e=this.curve.point(this.x,this.y.redNeg());if(A&&this.precomputed){var t=this.precomputed,r=function(A){return A.neg()};e.precomputed={naf:t.naf&&{wnd:t.naf.wnd,points:t.naf.points.map(r)},doubles:t.doubles&&{step:t.doubles.step,points:t.doubles.points.map(r)}}}return e},u.prototype.toJ=function(){return this.inf?this.curve.jpoint(null,null,null):this.curve.jpoint(this.x,this.y,this.curve.one)},i(g,o.BasePoint),s.prototype.jpoint=function(A,e,t){return new g(this,A,e,t)},g.prototype.toP=function(){if(this.isInfinity())return this.curve.point(null,null);var A=this.z.redInvm(),e=A.redSqr(),t=this.x.redMul(e),r=this.y.redMul(e).redMul(A);return this.curve.point(t,r)},g.prototype.neg=function(){return this.curve.jpoint(this.x,this.y.redNeg(),this.z)},g.prototype.add=function(A){if(this.isInfinity())return A;if(A.isInfinity())return this;var e=A.z.redSqr(),t=this.z.redSqr(),r=this.x.redMul(e),n=A.x.redMul(t),i=this.y.redMul(e.redMul(A.z)),o=A.y.redMul(t.redMul(this.z)),a=r.redSub(n),s=i.redSub(o);if(0===a.cmpn(0))return 0!==s.cmpn(0)?this.curve.jpoint(null,null,null):this.dbl();var u=a.redSqr(),g=u.redMul(a),c=r.redMul(u),B=s.redSqr().redIAdd(g).redISub(c).redISub(c),l=s.redMul(c.redISub(B)).redISub(i.redMul(g)),Q=this.z.redMul(A.z).redMul(a);return this.curve.jpoint(B,l,Q)},g.prototype.mixedAdd=function(A){if(this.isInfinity())return A.toJ();if(A.isInfinity())return this;var e=this.z.redSqr(),t=this.x,r=A.x.redMul(e),n=this.y,i=A.y.redMul(e).redMul(this.z),o=t.redSub(r),a=n.redSub(i);if(0===o.cmpn(0))return 0!==a.cmpn(0)?this.curve.jpoint(null,null,null):this.dbl();var s=o.redSqr(),u=s.redMul(o),g=t.redMul(s),c=a.redSqr().redIAdd(u).redISub(g).redISub(g),B=a.redMul(g.redISub(c)).redISub(n.redMul(u)),l=this.z.redMul(o);return this.curve.jpoint(c,B,l)},g.prototype.dblp=function(A){if(0===A)return this;if(this.isInfinity())return this;if(!A)return this.dbl();var e;if(this.curve.zeroA||this.curve.threeA){var t=this;for(e=0;e<A;e++)t=t.dbl();return t}var r=this.curve.a,n=this.curve.tinv,i=this.x,o=this.y,a=this.z,s=a.redSqr().redSqr(),u=o.redAdd(o);for(e=0;e<A;e++){var g=i.redSqr(),c=u.redSqr(),B=c.redSqr(),l=g.redAdd(g).redIAdd(g).redIAdd(r.redMul(s)),Q=i.redMul(c),I=l.redSqr().redISub(Q.redAdd(Q)),d=Q.redISub(I),h=l.redMul(d);h=h.redIAdd(h).redISub(B);var E=u.redMul(a);e+1<A&&(s=s.redMul(B)),i=I,a=E,u=h}return this.curve.jpoint(i,u.redMul(n),a)},g.prototype.dbl=function(){return this.isInfinity()?this:this.curve.zeroA?this._zeroDbl():this.curve.threeA?this._threeDbl():this._dbl()},g.prototype._zeroDbl=function(){var A,e,t;if(this.zOne){var r=this.x.redSqr(),n=this.y.redSqr(),i=n.redSqr(),o=this.x.redAdd(n).redSqr().redISub(r).redISub(i);o=o.redIAdd(o);var a=r.redAdd(r).redIAdd(r),s=a.redSqr().redISub(o).redISub(o),u=i.redIAdd(i);u=(u=u.redIAdd(u)).redIAdd(u),A=s,e=a.redMul(o.redISub(s)).redISub(u),t=this.y.redAdd(this.y)}else{var g=this.x.redSqr(),c=this.y.redSqr(),B=c.redSqr(),l=this.x.redAdd(c).redSqr().redISub(g).redISub(B);l=l.redIAdd(l);var Q=g.redAdd(g).redIAdd(g),I=Q.redSqr(),d=B.redIAdd(B);d=(d=d.redIAdd(d)).redIAdd(d),A=I.redISub(l).redISub(l),e=Q.redMul(l.redISub(A)).redISub(d),t=(t=this.y.redMul(this.z)).redIAdd(t)}return this.curve.jpoint(A,e,t)},g.prototype._threeDbl=function(){var A,e,t;if(this.zOne){var r=this.x.redSqr(),n=this.y.redSqr(),i=n.redSqr(),o=this.x.redAdd(n).redSqr().redISub(r).redISub(i);o=o.redIAdd(o);var a=r.redAdd(r).redIAdd(r).redIAdd(this.curve.a),s=a.redSqr().redISub(o).redISub(o);A=s;var u=i.redIAdd(i);u=(u=u.redIAdd(u)).redIAdd(u),e=a.redMul(o.redISub(s)).redISub(u),t=this.y.redAdd(this.y)}else{var g=this.z.redSqr(),c=this.y.redSqr(),B=this.x.redMul(c),l=this.x.redSub(g).redMul(this.x.redAdd(g));l=l.redAdd(l).redIAdd(l);var Q=B.redIAdd(B),I=(Q=Q.redIAdd(Q)).redAdd(Q);A=l.redSqr().redISub(I),t=this.y.redAdd(this.z).redSqr().redISub(c).redISub(g);var d=c.redSqr();d=(d=(d=d.redIAdd(d)).redIAdd(d)).redIAdd(d),e=l.redMul(Q.redISub(A)).redISub(d)}return this.curve.jpoint(A,e,t)},g.prototype._dbl=function(){var A=this.curve.a,e=this.x,t=this.y,r=this.z,n=r.redSqr().redSqr(),i=e.redSqr(),o=t.redSqr(),a=i.redAdd(i).redIAdd(i).redIAdd(A.redMul(n)),s=e.redAdd(e),u=(s=s.redIAdd(s)).redMul(o),g=a.redSqr().redISub(u.redAdd(u)),c=u.redISub(g),B=o.redSqr();B=(B=(B=B.redIAdd(B)).redIAdd(B)).redIAdd(B);var l=a.redMul(c).redISub(B),Q=t.redAdd(t).redMul(r);return this.curve.jpoint(g,l,Q)},g.prototype.trpl=function(){if(!this.curve.zeroA)return this.dbl().add(this);var A=this.x.redSqr(),e=this.y.redSqr(),t=this.z.redSqr(),r=e.redSqr(),n=A.redAdd(A).redIAdd(A),i=n.redSqr(),o=this.x.redAdd(e).redSqr().redISub(A).redISub(r),a=(o=(o=(o=o.redIAdd(o)).redAdd(o).redIAdd(o)).redISub(i)).redSqr(),s=r.redIAdd(r);s=(s=(s=s.redIAdd(s)).redIAdd(s)).redIAdd(s);var u=n.redIAdd(o).redSqr().redISub(i).redISub(a).redISub(s),g=e.redMul(u);g=(g=g.redIAdd(g)).redIAdd(g);var c=this.x.redMul(a).redISub(g);c=(c=c.redIAdd(c)).redIAdd(c);var B=this.y.redMul(u.redMul(s.redISub(u)).redISub(o.redMul(a)));B=(B=(B=B.redIAdd(B)).redIAdd(B)).redIAdd(B);var l=this.z.redAdd(o).redSqr().redISub(t).redISub(a);return this.curve.jpoint(c,B,l)},g.prototype.mul=function(A,e){return A=new n(A,e),this.curve._wnafMul(this,A)},g.prototype.eq=function(A){if("affine"===A.type)return this.eq(A.toJ());if(this===A)return!0;var e=this.z.redSqr(),t=A.z.redSqr();if(0!==this.x.redMul(t).redISub(A.x.redMul(e)).cmpn(0))return!1;var r=e.redMul(this.z),n=t.redMul(A.z);return 0===this.y.redMul(n).redISub(A.y.redMul(r)).cmpn(0)},g.prototype.eqXToP=function(A){var e=this.z.redSqr(),t=A.toRed(this.curve.red).redMul(e);if(0===this.x.cmp(t))return!0;for(var r=A.clone(),n=this.curve.redN.redMul(e);;){if(r.iadd(this.curve.n),r.cmp(this.curve.p)>=0)return!1;if(t.redIAdd(n),0===this.x.cmp(t))return!0}},g.prototype.inspect=function(){return this.isInfinity()?"<EC JPoint Infinity>":"<EC JPoint x: "+this.x.toString(16,2)+" y: "+this.y.toString(16,2)+" z: "+this.z.toString(16,2)+">"},g.prototype.isInfinity=function(){return 0===this.z.cmpn(0)}},5427:(A,e,t)=>{"use strict";var r,n=e,i=t(3715),o=t(8254),a=t(953).assert;function s(A){"short"===A.type?this.curve=new o.short(A):"edwards"===A.type?this.curve=new o.edwards(A):this.curve=new o.mont(A),this.g=this.curve.g,this.n=this.curve.n,this.hash=A.hash,a(this.g.validate(),"Invalid curve"),a(this.g.mul(this.n).isInfinity(),"Invalid curve, G*N != O")}function u(A,e){Object.defineProperty(n,A,{configurable:!0,enumerable:!0,get:function(){var t=new s(e);return Object.defineProperty(n,A,{configurable:!0,enumerable:!0,value:t}),t}})}n.PresetCurve=s,u("p192",{type:"short",prime:"p192",p:"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff",a:"ffffffff ffffffff ffffffff fffffffe ffffffff fffffffc",b:"64210519 e59c80e7 0fa7e9ab 72243049 feb8deec c146b9b1",n:"ffffffff ffffffff ffffffff 99def836 146bc9b1 b4d22831",hash:i.sha256,gRed:!1,g:["188da80e b03090f6 7cbf20eb 43a18800 f4ff0afd 82ff1012","07192b95 ffc8da78 631011ed 6b24cdd5 73f977a1 1e794811"]}),u("p224",{type:"short",prime:"p224",p:"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001",a:"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff fffffffe",b:"b4050a85 0c04b3ab f5413256 5044b0b7 d7bfd8ba 270b3943 2355ffb4",n:"ffffffff ffffffff ffffffff ffff16a2 e0b8f03e 13dd2945 5c5c2a3d",hash:i.sha256,gRed:!1,g:["b70e0cbd 6bb4bf7f 321390b9 4a03c1d3 56c21122 343280d6 115c1d21","bd376388 b5f723fb 4c22dfe6 cd4375a0 5a074764 44d58199 85007e34"]}),u("p256",{type:"short",prime:null,p:"ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff ffffffff",a:"ffffffff 00000001 00000000 00000000 00000000 ffffffff ffffffff fffffffc",b:"5ac635d8 aa3a93e7 b3ebbd55 769886bc 651d06b0 cc53b0f6 3bce3c3e 27d2604b",n:"ffffffff 00000000 ffffffff ffffffff bce6faad a7179e84 f3b9cac2 fc632551",hash:i.sha256,gRed:!1,g:["6b17d1f2 e12c4247 f8bce6e5 63a440f2 77037d81 2deb33a0 f4a13945 d898c296","4fe342e2 fe1a7f9b 8ee7eb4a 7c0f9e16 2bce3357 6b315ece cbb64068 37bf51f5"]}),u("p384",{type:"short",prime:null,p:"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe ffffffff 00000000 00000000 ffffffff",a:"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe ffffffff 00000000 00000000 fffffffc",b:"b3312fa7 e23ee7e4 988e056b e3f82d19 181d9c6e fe814112 0314088f 5013875a c656398d 8a2ed19d 2a85c8ed d3ec2aef",n:"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff c7634d81 f4372ddf 581a0db2 48b0a77a ecec196a ccc52973",hash:i.sha384,gRed:!1,g:["aa87ca22 be8b0537 8eb1c71e f320ad74 6e1d3b62 8ba79b98 59f741e0 82542a38 5502f25d bf55296c 3a545e38 72760ab7","3617de4a 96262c6f 5d9e98bf 9292dc29 f8f41dbd 289a147c e9da3113 b5f0b8c0 0a60b1ce 1d7e819d 7a431d7c 90ea0e5f"]}),u("p521",{type:"short",prime:null,p:"000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff",a:"000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffc",b:"00000051 953eb961 8e1c9a1f 929a21a0 b68540ee a2da725b 99b315f3 b8b48991 8ef109e1 56193951 ec7e937b 1652c0bd 3bb1bf07 3573df88 3d2c34f1 ef451fd4 6b503f00",n:"000001ff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffa 51868783 bf2f966b 7fcc0148 f709a5d0 3bb5c9b8 899c47ae bb6fb71e 91386409",hash:i.sha512,gRed:!1,g:["000000c6 858e06b7 0404e9cd 9e3ecb66 2395b442 9c648139 053fb521 f828af60 6b4d3dba a14b5e77 efe75928 fe1dc127 a2ffa8de 3348b3c1 856a429b f97e7e31 c2e5bd66","00000118 39296a78 9a3bc004 5c8a5fb4 2c7d1bd9 98f54449 579b4468 17afbd17 273e662c 97ee7299 5ef42640 c550b901 3fad0761 353c7086 a272c240 88be9476 9fd16650"]}),u("curve25519",{type:"mont",prime:"p25519",p:"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed",a:"76d06",b:"1",n:"1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed",hash:i.sha256,gRed:!1,g:["9"]}),u("ed25519",{type:"edwards",prime:"p25519",p:"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed",a:"-1",c:"1",d:"52036cee2b6ffe73 8cc740797779e898 00700a4d4141d8ab 75eb4dca135978a3",n:"1000000000000000 0000000000000000 14def9dea2f79cd6 5812631a5cf5d3ed",hash:i.sha256,gRed:!1,g:["216936d3cd6e53fec0a4e231fdd6dc5c692cc7609525a7b2c9562d608f25d51a","6666666666666666666666666666666666666666666666666666666666666658"]});try{r=t(1037)}catch(A){r=void 0}u("secp256k1",{type:"short",prime:"k256",p:"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f",a:"0",b:"7",n:"ffffffff ffffffff ffffffff fffffffe baaedce6 af48a03b bfd25e8c d0364141",h:"1",hash:i.sha256,beta:"7ae96a2b657c07106e64479eac3434e99cf0497512f58995c1396c28719501ee",lambda:"5363ad4cc05c30e0a5261c028812645a122e22ea20816678df02967c1b23bd72",basis:[{a:"3086d221a7d46bcde86c90e49284eb15",b:"-e4437ed6010e88286f547fa90abfe4c3"},{a:"114ca50f7a8e2f3f657c1108d9d44cfd8",b:"3086d221a7d46bcde86c90e49284eb15"}],gRed:!1,g:["79be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798","483ada7726a3c4655da4fbfc0e1108a8fd17b448a68554199c47d08ffb10d4b8",r]})},7954:(A,e,t)=>{"use strict";var r=t(3785),n=t(2156),i=t(953),o=t(5427),a=t(9931),s=i.assert,u=t(1251),g=t(611);function c(A){if(!(this instanceof c))return new c(A);"string"==typeof A&&(s(Object.prototype.hasOwnProperty.call(o,A),"Unknown curve "+A),A=o[A]),A instanceof o.PresetCurve&&(A={curve:A}),this.curve=A.curve.curve,this.n=this.curve.n,this.nh=this.n.ushrn(1),this.g=this.curve.g,this.g=A.curve.g,this.g.precompute(A.curve.n.bitLength()+1),this.hash=A.hash||A.curve.hash}A.exports=c,c.prototype.keyPair=function(A){return new u(this,A)},c.prototype.keyFromPrivate=function(A,e){return u.fromPrivate(this,A,e)},c.prototype.keyFromPublic=function(A,e){return u.fromPublic(this,A,e)},c.prototype.genKeyPair=function(A){A||(A={});for(var e=new n({hash:this.hash,pers:A.pers,persEnc:A.persEnc||"utf8",entropy:A.entropy||a(this.hash.hmacStrength),entropyEnc:A.entropy&&A.entropyEnc||"utf8",nonce:this.n.toArray()}),t=this.n.byteLength(),i=this.n.sub(new r(2));;){var o=new r(e.generate(t));if(!(o.cmp(i)>0))return o.iaddn(1),this.keyFromPrivate(o)}},c.prototype._truncateToN=function(A,e){var t=8*A.byteLength()-this.n.bitLength();return t>0&&(A=A.ushrn(t)),!e&&A.cmp(this.n)>=0?A.sub(this.n):A},c.prototype.sign=function(A,e,t,i){"object"==typeof t&&(i=t,t=null),i||(i={}),e=this.keyFromPrivate(e,t),A=this._truncateToN(new r(A,16));for(var o=this.n.byteLength(),a=e.getPrivate().toArray("be",o),s=A.toArray("be",o),u=new n({hash:this.hash,entropy:a,nonce:s,pers:i.pers,persEnc:i.persEnc||"utf8"}),c=this.n.sub(new r(1)),B=0;;B++){var l=i.k?i.k(B):new r(u.generate(this.n.byteLength()));if(!((l=this._truncateToN(l,!0)).cmpn(1)<=0||l.cmp(c)>=0)){var Q=this.g.mul(l);if(!Q.isInfinity()){var I=Q.getX(),d=I.umod(this.n);if(0!==d.cmpn(0)){var h=l.invm(this.n).mul(d.mul(e.getPrivate()).iadd(A));if(0!==(h=h.umod(this.n)).cmpn(0)){var E=(Q.getY().isOdd()?1:0)|(0!==I.cmp(d)?2:0);return i.canonical&&h.cmp(this.nh)>0&&(h=this.n.sub(h),E^=1),new g({r:d,s:h,recoveryParam:E})}}}}}},c.prototype.verify=function(A,e,t,n){A=this._truncateToN(new r(A,16)),t=this.keyFromPublic(t,n);var i=(e=new g(e,"hex")).r,o=e.s;if(i.cmpn(1)<0||i.cmp(this.n)>=0)return!1;if(o.cmpn(1)<0||o.cmp(this.n)>=0)return!1;var a,s=o.invm(this.n),u=s.mul(A).umod(this.n),c=s.mul(i).umod(this.n);return this.curve._maxwellTrick?!(a=this.g.jmulAdd(u,t.getPublic(),c)).isInfinity()&&a.eqXToP(i):!(a=this.g.mulAdd(u,t.getPublic(),c)).isInfinity()&&0===a.getX().umod(this.n).cmp(i)},c.prototype.recoverPubKey=function(A,e,t,n){s((3&t)===t,"The recovery param is more than two bits"),e=new g(e,n);var i=this.n,o=new r(A),a=e.r,u=e.s,c=1&t,B=t>>1;if(a.cmp(this.curve.p.umod(this.curve.n))>=0&&B)throw new Error("Unable to find sencond key candinate");a=B?this.curve.pointFromX(a.add(this.curve.n),c):this.curve.pointFromX(a,c);var l=e.r.invm(i),Q=i.sub(o).mul(l).umod(i),I=u.mul(l).umod(i);return this.g.mulAdd(Q,a,I)},c.prototype.getKeyRecoveryParam=function(A,e,t,r){if(null!==(e=new g(e,r)).recoveryParam)return e.recoveryParam;for(var n=0;n<4;n++){var i;try{i=this.recoverPubKey(A,e,n)}catch(A){continue}if(i.eq(t))return n}throw new Error("Unable to find valid recovery factor")}},1251:(A,e,t)=>{"use strict";var r=t(3785),n=t(953).assert;function i(A,e){this.ec=A,this.priv=null,this.pub=null,e.priv&&this._importPrivate(e.priv,e.privEnc),e.pub&&this._importPublic(e.pub,e.pubEnc)}A.exports=i,i.fromPublic=function(A,e,t){return e instanceof i?e:new i(A,{pub:e,pubEnc:t})},i.fromPrivate=function(A,e,t){return e instanceof i?e:new i(A,{priv:e,privEnc:t})},i.prototype.validate=function(){var A=this.getPublic();return A.isInfinity()?{result:!1,reason:"Invalid public key"}:A.validate()?A.mul(this.ec.curve.n).isInfinity()?{result:!0,reason:null}:{result:!1,reason:"Public key * N != O"}:{result:!1,reason:"Public key is not a point"}},i.prototype.getPublic=function(A,e){return"string"==typeof A&&(e=A,A=null),this.pub||(this.pub=this.ec.g.mul(this.priv)),e?this.pub.encode(e,A):this.pub},i.prototype.getPrivate=function(A){return"hex"===A?this.priv.toString(16,2):this.priv},i.prototype._importPrivate=function(A,e){this.priv=new r(A,e||16),this.priv=this.priv.umod(this.ec.curve.n)},i.prototype._importPublic=function(A,e){if(A.x||A.y)return"mont"===this.ec.curve.type?n(A.x,"Need x coordinate"):"short"!==this.ec.curve.type&&"edwards"!==this.ec.curve.type||n(A.x&&A.y,"Need both x and y coordinate"),void(this.pub=this.ec.curve.point(A.x,A.y));this.pub=this.ec.curve.decodePoint(A,e)},i.prototype.derive=function(A){return A.validate()||n(A.validate(),"public point not validated"),A.mul(this.priv).getX()},i.prototype.sign=function(A,e,t){return this.ec.sign(A,this,e,t)},i.prototype.verify=function(A,e){return this.ec.verify(A,e,this)},i.prototype.inspect=function(){return"<Key priv: "+(this.priv&&this.priv.toString(16,2))+" pub: "+(this.pub&&this.pub.inspect())+" >"}},611:(A,e,t)=>{"use strict";var r=t(3785),n=t(953),i=n.assert;function o(A,e){if(A instanceof o)return A;this._importDER(A,e)||(i(A.r&&A.s,"Signature without r or s"),this.r=new r(A.r,16),this.s=new r(A.s,16),void 0===A.recoveryParam?this.recoveryParam=null:this.recoveryParam=A.recoveryParam)}function a(){this.place=0}function s(A,e){var t=A[e.place++];if(!(128&t))return t;var r=15&t;if(0===r||r>4)return!1;for(var n=0,i=0,o=e.place;i<r;i++,o++)n<<=8,n|=A[o],n>>>=0;return!(n<=127)&&(e.place=o,n)}function u(A){for(var e=0,t=A.length-1;!A[e]&&!(128&A[e+1])&&e<t;)e++;return 0===e?A:A.slice(e)}function g(A,e){if(e<128)A.push(e);else{var t=1+(Math.log(e)/Math.LN2>>>3);for(A.push(128|t);--t;)A.push(e>>>(t<<3)&255);A.push(e)}}A.exports=o,o.prototype._importDER=function(A,e){A=n.toArray(A,e);var t=new a;if(48!==A[t.place++])return!1;var i=s(A,t);if(!1===i)return!1;if(i+t.place!==A.length)return!1;if(2!==A[t.place++])return!1;var o=s(A,t);if(!1===o)return!1;var u=A.slice(t.place,o+t.place);if(t.place+=o,2!==A[t.place++])return!1;var g=s(A,t);if(!1===g)return!1;if(A.length!==g+t.place)return!1;var c=A.slice(t.place,g+t.place);if(0===u[0]){if(!(128&u[1]))return!1;u=u.slice(1)}if(0===c[0]){if(!(128&c[1]))return!1;c=c.slice(1)}return this.r=new r(u),this.s=new r(c),this.recoveryParam=null,!0},o.prototype.toDER=function(A){var e=this.r.toArray(),t=this.s.toArray();for(128&e[0]&&(e=[0].concat(e)),128&t[0]&&(t=[0].concat(t)),e=u(e),t=u(t);!(t[0]||128&t[1]);)t=t.slice(1);var r=[2];g(r,e.length),(r=r.concat(e)).push(2),g(r,t.length);var i=r.concat(t),o=[48];return g(o,i.length),o=o.concat(i),n.encode(o,A)}},5980:(A,e,t)=>{"use strict";var r=t(3715),n=t(5427),i=t(953),o=i.assert,a=i.parseBytes,s=t(9087),u=t(3622);function g(A){if(o("ed25519"===A,"only tested with ed25519 so far"),!(this instanceof g))return new g(A);A=n[A].curve,this.curve=A,this.g=A.g,this.g.precompute(A.n.bitLength()+1),this.pointClass=A.point().constructor,this.encodingLength=Math.ceil(A.n.bitLength()/8),this.hash=r.sha512}A.exports=g,g.prototype.sign=function(A,e){A=a(A);var t=this.keyFromSecret(e),r=this.hashInt(t.messagePrefix(),A),n=this.g.mul(r),i=this.encodePoint(n),o=this.hashInt(i,t.pubBytes(),A).mul(t.priv()),s=r.add(o).umod(this.curve.n);return this.makeSignature({R:n,S:s,Rencoded:i})},g.prototype.verify=function(A,e,t){A=a(A),e=this.makeSignature(e);var r=this.keyFromPublic(t),n=this.hashInt(e.Rencoded(),r.pubBytes(),A),i=this.g.mul(e.S());return e.R().add(r.pub().mul(n)).eq(i)},g.prototype.hashInt=function(){for(var A=this.hash(),e=0;e<arguments.length;e++)A.update(arguments[e]);return i.intFromLE(A.digest()).umod(this.curve.n)},g.prototype.keyFromPublic=function(A){return s.fromPublic(this,A)},g.prototype.keyFromSecret=function(A){return s.fromSecret(this,A)},g.prototype.makeSignature=function(A){return A instanceof u?A:new u(this,A)},g.prototype.encodePoint=function(A){var e=A.getY().toArray("le",this.encodingLength);return e[this.encodingLength-1]|=A.getX().isOdd()?128:0,e},g.prototype.decodePoint=function(A){var e=(A=i.parseBytes(A)).length-1,t=A.slice(0,e).concat(-129&A[e]),r=0!=(128&A[e]),n=i.intFromLE(t);return this.curve.pointFromY(n,r)},g.prototype.encodeInt=function(A){return A.toArray("le",this.encodingLength)},g.prototype.decodeInt=function(A){return i.intFromLE(A)},g.prototype.isPoint=function(A){return A instanceof this.pointClass}},9087:(A,e,t)=>{"use strict";var r=t(953),n=r.assert,i=r.parseBytes,o=r.cachedProperty;function a(A,e){this.eddsa=A,this._secret=i(e.secret),A.isPoint(e.pub)?this._pub=e.pub:this._pubBytes=i(e.pub)}a.fromPublic=function(A,e){return e instanceof a?e:new a(A,{pub:e})},a.fromSecret=function(A,e){return e instanceof a?e:new a(A,{secret:e})},a.prototype.secret=function(){return this._secret},o(a,"pubBytes",(function(){return this.eddsa.encodePoint(this.pub())})),o(a,"pub",(function(){return this._pubBytes?this.eddsa.decodePoint(this._pubBytes):this.eddsa.g.mul(this.priv())})),o(a,"privBytes",(function(){var A=this.eddsa,e=this.hash(),t=A.encodingLength-1,r=e.slice(0,A.encodingLength);return r[0]&=248,r[t]&=127,r[t]|=64,r})),o(a,"priv",(function(){return this.eddsa.decodeInt(this.privBytes())})),o(a,"hash",(function(){return this.eddsa.hash().update(this.secret()).digest()})),o(a,"messagePrefix",(function(){return this.hash().slice(this.eddsa.encodingLength)})),a.prototype.sign=function(A){return n(this._secret,"KeyPair can only verify"),this.eddsa.sign(A,this)},a.prototype.verify=function(A,e){return this.eddsa.verify(A,e,this)},a.prototype.getSecret=function(A){return n(this._secret,"KeyPair is public only"),r.encode(this.secret(),A)},a.prototype.getPublic=function(A){return r.encode(this.pubBytes(),A)},A.exports=a},3622:(A,e,t)=>{"use strict";var r=t(3785),n=t(953),i=n.assert,o=n.cachedProperty,a=n.parseBytes;function s(A,e){this.eddsa=A,"object"!=typeof e&&(e=a(e)),Array.isArray(e)&&(e={R:e.slice(0,A.encodingLength),S:e.slice(A.encodingLength)}),i(e.R&&e.S,"Signature without R or S"),A.isPoint(e.R)&&(this._R=e.R),e.S instanceof r&&(this._S=e.S),this._Rencoded=Array.isArray(e.R)?e.R:e.Rencoded,this._Sencoded=Array.isArray(e.S)?e.S:e.Sencoded}o(s,"S",(function(){return this.eddsa.decodeInt(this.Sencoded())})),o(s,"R",(function(){return this.eddsa.decodePoint(this.Rencoded())})),o(s,"Rencoded",(function(){return this.eddsa.encodePoint(this.R())})),o(s,"Sencoded",(function(){return this.eddsa.encodeInt(this.S())})),s.prototype.toBytes=function(){return this.Rencoded().concat(this.Sencoded())},s.prototype.toHex=function(){return 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pA=(u+(r=r+Math.imul(c,tA)|0)|0)+((8191&(n=(n=n+Math.imul(c,rA)|0)+Math.imul(B,tA)|0))<<13)|0;u=((i=i+Math.imul(B,rA)|0)+(n>>>13)|0)+(pA>>>26)|0,pA&=67108863,r=Math.imul(U,V),n=(n=Math.imul(U,T))+Math.imul(S,V)|0,i=Math.imul(S,T),r=r+Math.imul(b,J)|0,n=(n=n+Math.imul(b,O)|0)+Math.imul(w,J)|0,i=i+Math.imul(w,O)|0,r=r+Math.imul(y,j)|0,n=(n=n+Math.imul(y,z)|0)+Math.imul(v,j)|0,i=i+Math.imul(v,z)|0,r=r+Math.imul(C,Z)|0,n=(n=n+Math.imul(C,W)|0)+Math.imul(p,Z)|0,i=i+Math.imul(p,W)|0,r=r+Math.imul(h,$)|0,n=(n=n+Math.imul(h,AA)|0)+Math.imul(E,$)|0,i=i+Math.imul(E,AA)|0,r=r+Math.imul(Q,tA)|0,n=(n=n+Math.imul(Q,rA)|0)+Math.imul(I,tA)|0,i=i+Math.imul(I,rA)|0;var mA=(u+(r=r+Math.imul(c,iA)|0)|0)+((8191&(n=(n=n+Math.imul(c,oA)|0)+Math.imul(B,iA)|0))<<13)|0;u=((i=i+Math.imul(B,oA)|0)+(n>>>13)|0)+(mA>>>26)|0,mA&=67108863,r=Math.imul(R,V),n=(n=Math.imul(R,T))+Math.imul(H,V)|0,i=Math.imul(H,T),r=r+Math.imul(U,J)|0,n=(n=n+Math.imul(U,O)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,O)|0,r=r+Math.imul(b,j)|0,n=(n=n+Math.imul(b,z)|0)+Math.imul(w,j)|0,i=i+Math.imul(w,z)|0,r=r+Math.imul(y,Z)|0,n=(n=n+Math.imul(y,W)|0)+Math.imul(v,Z)|0,i=i+Math.imul(v,W)|0,r=r+Math.imul(C,$)|0,n=(n=n+Math.imul(C,AA)|0)+Math.imul(p,$)|0,i=i+Math.imul(p,AA)|0,r=r+Math.imul(h,tA)|0,n=(n=n+Math.imul(h,rA)|0)+Math.imul(E,tA)|0,i=i+Math.imul(E,rA)|0,r=r+Math.imul(Q,iA)|0,n=(n=n+Math.imul(Q,oA)|0)+Math.imul(I,iA)|0,i=i+Math.imul(I,oA)|0;var yA=(u+(r=r+Math.imul(c,sA)|0)|0)+((8191&(n=(n=n+Math.imul(c,uA)|0)+Math.imul(B,sA)|0))<<13)|0;u=((i=i+Math.imul(B,uA)|0)+(n>>>13)|0)+(yA>>>26)|0,yA&=67108863,r=Math.imul(M,V),n=(n=Math.imul(M,T))+Math.imul(L,V)|0,i=Math.imul(L,T),r=r+Math.imul(R,J)|0,n=(n=n+Math.imul(R,O)|0)+Math.imul(H,J)|0,i=i+Math.imul(H,O)|0,r=r+Math.imul(U,j)|0,n=(n=n+Math.imul(U,z)|0)+Math.imul(S,j)|0,i=i+Math.imul(S,z)|0,r=r+Math.imul(b,Z)|0,n=(n=n+Math.imul(b,W)|0)+Math.imul(w,Z)|0,i=i+Math.imul(w,W)|0,r=r+Math.imul(y,$)|0,n=(n=n+Math.imul(y,AA)|0)+Math.imul(v,$)|0,i=i+Math.imul(v,AA)|0,r=r+Math.imul(C,tA)|0,n=(n=n+Math.imul(C,rA)|0)+Math.imul(p,tA)|0,i=i+Math.imul(p,rA)|0,r=r+Math.imul(h,iA)|0,n=(n=n+Math.imul(h,oA)|0)+Math.imul(E,iA)|0,i=i+Math.imul(E,oA)|0,r=r+Math.imul(Q,sA)|0,n=(n=n+Math.imul(Q,uA)|0)+Math.imul(I,sA)|0,i=i+Math.imul(I,uA)|0;var vA=(u+(r=r+Math.imul(c,cA)|0)|0)+((8191&(n=(n=n+Math.imul(c,BA)|0)+Math.imul(B,cA)|0))<<13)|0;u=((i=i+Math.imul(B,BA)|0)+(n>>>13)|0)+(vA>>>26)|0,vA&=67108863,r=Math.imul(k,V),n=(n=Math.imul(k,T))+Math.imul(Y,V)|0,i=Math.imul(Y,T),r=r+Math.imul(M,J)|0,n=(n=n+Math.imul(M,O)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,O)|0,r=r+Math.imul(R,j)|0,n=(n=n+Math.imul(R,z)|0)+Math.imul(H,j)|0,i=i+Math.imul(H,z)|0,r=r+Math.imul(U,Z)|0,n=(n=n+Math.imul(U,W)|0)+Math.imul(S,Z)|0,i=i+Math.imul(S,W)|0,r=r+Math.imul(b,$)|0,n=(n=n+Math.imul(b,AA)|0)+Math.imul(w,$)|0,i=i+Math.imul(w,AA)|0,r=r+Math.imul(y,tA)|0,n=(n=n+Math.imul(y,rA)|0)+Math.imul(v,tA)|0,i=i+Math.imul(v,rA)|0,r=r+Math.imul(C,iA)|0,n=(n=n+Math.imul(C,oA)|0)+Math.imul(p,iA)|0,i=i+Math.imul(p,oA)|0,r=r+Math.imul(h,sA)|0,n=(n=n+Math.imul(h,uA)|0)+Math.imul(E,sA)|0,i=i+Math.imul(E,uA)|0,r=r+Math.imul(Q,cA)|0,n=(n=n+Math.imul(Q,BA)|0)+Math.imul(I,cA)|0,i=i+Math.imul(I,BA)|0;var DA=(u+(r=r+Math.imul(c,QA)|0)|0)+((8191&(n=(n=n+Math.imul(c,IA)|0)+Math.imul(B,QA)|0))<<13)|0;u=((i=i+Math.imul(B,IA)|0)+(n>>>13)|0)+(DA>>>26)|0,DA&=67108863,r=Math.imul(k,J),n=(n=Math.imul(k,O))+Math.imul(Y,J)|0,i=Math.imul(Y,O),r=r+Math.imul(M,j)|0,n=(n=n+Math.imul(M,z)|0)+Math.imul(L,j)|0,i=i+Math.imul(L,z)|0,r=r+Math.imul(R,Z)|0,n=(n=n+Math.imul(R,W)|0)+Math.imul(H,Z)|0,i=i+Math.imul(H,W)|0,r=r+Math.imul(U,$)|0,n=(n=n+Math.imul(U,AA)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,AA)|0,r=r+Math.imul(b,tA)|0,n=(n=n+Math.imul(b,rA)|0)+Math.imul(w,tA)|0,i=i+Math.imul(w,rA)|0,r=r+Math.imul(y,iA)|0,n=(n=n+Math.imul(y,oA)|0)+Math.imul(v,iA)|0,i=i+Math.imul(v,oA)|0,r=r+Math.imul(C,sA)|0,n=(n=n+Math.imul(C,uA)|0)+Math.imul(p,sA)|0,i=i+Math.imul(p,uA)|0,r=r+Math.imul(h,cA)|0,n=(n=n+Math.imul(h,BA)|0)+Math.imul(E,cA)|0,i=i+Math.imul(E,BA)|0;var bA=(u+(r=r+Math.imul(Q,QA)|0)|0)+((8191&(n=(n=n+Math.imul(Q,IA)|0)+Math.imul(I,QA)|0))<<13)|0;u=((i=i+Math.imul(I,IA)|0)+(n>>>13)|0)+(bA>>>26)|0,bA&=67108863,r=Math.imul(k,j),n=(n=Math.imul(k,z))+Math.imul(Y,j)|0,i=Math.imul(Y,z),r=r+Math.imul(M,Z)|0,n=(n=n+Math.imul(M,W)|0)+Math.imul(L,Z)|0,i=i+Math.imul(L,W)|0,r=r+Math.imul(R,$)|0,n=(n=n+Math.imul(R,AA)|0)+Math.imul(H,$)|0,i=i+Math.imul(H,AA)|0,r=r+Math.imul(U,tA)|0,n=(n=n+Math.imul(U,rA)|0)+Math.imul(S,tA)|0,i=i+Math.imul(S,rA)|0,r=r+Math.imul(b,iA)|0,n=(n=n+Math.imul(b,oA)|0)+Math.imul(w,iA)|0,i=i+Math.imul(w,oA)|0,r=r+Math.imul(y,sA)|0,n=(n=n+Math.imul(y,uA)|0)+Math.imul(v,sA)|0,i=i+Math.imul(v,uA)|0,r=r+Math.imul(C,cA)|0,n=(n=n+Math.imul(C,BA)|0)+Math.imul(p,cA)|0,i=i+Math.imul(p,BA)|0;var wA=(u+(r=r+Math.imul(h,QA)|0)|0)+((8191&(n=(n=n+Math.imul(h,IA)|0)+Math.imul(E,QA)|0))<<13)|0;u=((i=i+Math.imul(E,IA)|0)+(n>>>13)|0)+(wA>>>26)|0,wA&=67108863,r=Math.imul(k,Z),n=(n=Math.imul(k,W))+Math.imul(Y,Z)|0,i=Math.imul(Y,W),r=r+Math.imul(M,$)|0,n=(n=n+Math.imul(M,AA)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,AA)|0,r=r+Math.imul(R,tA)|0,n=(n=n+Math.imul(R,rA)|0)+Math.imul(H,tA)|0,i=i+Math.imul(H,rA)|0,r=r+Math.imul(U,iA)|0,n=(n=n+Math.imul(U,oA)|0)+Math.imul(S,iA)|0,i=i+Math.imul(S,oA)|0,r=r+Math.imul(b,sA)|0,n=(n=n+Math.imul(b,uA)|0)+Math.imul(w,sA)|0,i=i+Math.imul(w,uA)|0,r=r+Math.imul(y,cA)|0,n=(n=n+Math.imul(y,BA)|0)+Math.imul(v,cA)|0,i=i+Math.imul(v,BA)|0;var FA=(u+(r=r+Math.imul(C,QA)|0)|0)+((8191&(n=(n=n+Math.imul(C,IA)|0)+Math.imul(p,QA)|0))<<13)|0;u=((i=i+Math.imul(p,IA)|0)+(n>>>13)|0)+(FA>>>26)|0,FA&=67108863,r=Math.imul(k,$),n=(n=Math.imul(k,AA))+Math.imul(Y,$)|0,i=Math.imul(Y,AA),r=r+Math.imul(M,tA)|0,n=(n=n+Math.imul(M,rA)|0)+Math.imul(L,tA)|0,i=i+Math.imul(L,rA)|0,r=r+Math.imul(R,iA)|0,n=(n=n+Math.imul(R,oA)|0)+Math.imul(H,iA)|0,i=i+Math.imul(H,oA)|0,r=r+Math.imul(U,sA)|0,n=(n=n+Math.imul(U,uA)|0)+Math.imul(S,sA)|0,i=i+Math.imul(S,uA)|0,r=r+Math.imul(b,cA)|0,n=(n=n+Math.imul(b,BA)|0)+Math.imul(w,cA)|0,i=i+Math.imul(w,BA)|0;var UA=(u+(r=r+Math.imul(y,QA)|0)|0)+((8191&(n=(n=n+Math.imul(y,IA)|0)+Math.imul(v,QA)|0))<<13)|0;u=((i=i+Math.imul(v,IA)|0)+(n>>>13)|0)+(UA>>>26)|0,UA&=67108863,r=Math.imul(k,tA),n=(n=Math.imul(k,rA))+Math.imul(Y,tA)|0,i=Math.imul(Y,rA),r=r+Math.imul(M,iA)|0,n=(n=n+Math.imul(M,oA)|0)+Math.imul(L,iA)|0,i=i+Math.imul(L,oA)|0,r=r+Math.imul(R,sA)|0,n=(n=n+Math.imul(R,uA)|0)+Math.imul(H,sA)|0,i=i+Math.imul(H,uA)|0,r=r+Math.imul(U,cA)|0,n=(n=n+Math.imul(U,BA)|0)+Math.imul(S,cA)|0,i=i+Math.imul(S,BA)|0;var SA=(u+(r=r+Math.imul(b,QA)|0)|0)+((8191&(n=(n=n+Math.imul(b,IA)|0)+Math.imul(w,QA)|0))<<13)|0;u=((i=i+Math.imul(w,IA)|0)+(n>>>13)|0)+(SA>>>26)|0,SA&=67108863,r=Math.imul(k,iA),n=(n=Math.imul(k,oA))+Math.imul(Y,iA)|0,i=Math.imul(Y,oA),r=r+Math.imul(M,sA)|0,n=(n=n+Math.imul(M,uA)|0)+Math.imul(L,sA)|0,i=i+Math.imul(L,uA)|0,r=r+Math.imul(R,cA)|0,n=(n=n+Math.imul(R,BA)|0)+Math.imul(H,cA)|0,i=i+Math.imul(H,BA)|0;var NA=(u+(r=r+Math.imul(U,QA)|0)|0)+((8191&(n=(n=n+Math.imul(U,IA)|0)+Math.imul(S,QA)|0))<<13)|0;u=((i=i+Math.imul(S,IA)|0)+(n>>>13)|0)+(NA>>>26)|0,NA&=67108863,r=Math.imul(k,sA),n=(n=Math.imul(k,uA))+Math.imul(Y,sA)|0,i=Math.imul(Y,uA),r=r+Math.imul(M,cA)|0,n=(n=n+Math.imul(M,BA)|0)+Math.imul(L,cA)|0,i=i+Math.imul(L,BA)|0;var RA=(u+(r=r+Math.imul(R,QA)|0)|0)+((8191&(n=(n=n+Math.imul(R,IA)|0)+Math.imul(H,QA)|0))<<13)|0;u=((i=i+Math.imul(H,IA)|0)+(n>>>13)|0)+(RA>>>26)|0,RA&=67108863,r=Math.imul(k,cA),n=(n=Math.imul(k,BA))+Math.imul(Y,cA)|0,i=Math.imul(Y,BA);var HA=(u+(r=r+Math.imul(M,QA)|0)|0)+((8191&(n=(n=n+Math.imul(M,IA)|0)+Math.imul(L,QA)|0))<<13)|0;u=((i=i+Math.imul(L,IA)|0)+(n>>>13)|0)+(HA>>>26)|0,HA&=67108863;var GA=(u+(r=Math.imul(k,QA))|0)+((8191&(n=(n=Math.imul(k,IA))+Math.imul(Y,QA)|0))<<13)|0;return u=((i=Math.imul(Y,IA))+(n>>>13)|0)+(GA>>>26)|0,GA&=67108863,s[0]=dA,s[1]=hA,s[2]=EA,s[3]=fA,s[4]=CA,s[5]=pA,s[6]=mA,s[7]=yA,s[8]=vA,s[9]=DA,s[10]=bA,s[11]=wA,s[12]=FA,s[13]=UA,s[14]=SA,s[15]=NA,s[16]=RA,s[17]=HA,s[18]=GA,0!==u&&(s[19]=u,t.length++),t};function I(A,e,t){return(new d).mulp(A,e,t)}function d(A,e){this.x=A,this.y=e}Math.imul||(Q=l),i.prototype.mulTo=function(A,e){var t,r=this.length+A.length;return t=10===this.length&&10===A.length?Q(this,A,e):r<63?l(this,A,e):r<1024?function(A,e,t){t.negative=e.negative^A.negative,t.length=A.length+e.length;for(var r=0,n=0,i=0;i<t.length-1;i++){var o=n;n=0;for(var a=67108863&r,s=Math.min(i,e.length-1),u=Math.max(0,i-A.length+1);u<=s;u++){var g=i-u,c=(0|A.words[g])*(0|e.words[u]),B=67108863&c;a=67108863&(B=B+a|0),n+=(o=(o=o+(c/67108864|0)|0)+(B>>>26)|0)>>>26,o&=67108863}t.words[i]=a,r=o,o=n}return 0!==r?t.words[i]=r:t.length--,t.strip()}(this,A,e):I(this,A,e),t},d.prototype.makeRBT=function(A){for(var e=new Array(A),t=i.prototype._countBits(A)-1,r=0;r<A;r++)e[r]=this.revBin(r,t,A);return e},d.prototype.revBin=function(A,e,t){if(0===A||A===t-1)return A;for(var r=0,n=0;n<e;n++)r|=(1&A)<<e-n-1,A>>=1;return r},d.prototype.permute=function(A,e,t,r,n,i){for(var o=0;o<i;o++)r[o]=e[A[o]],n[o]=t[A[o]]},d.prototype.transform=function(A,e,t,r,n,i){this.permute(i,A,e,t,r,n);for(var o=1;o<n;o<<=1)for(var a=o<<1,s=Math.cos(2*Math.PI/a),u=Math.sin(2*Math.PI/a),g=0;g<n;g+=a)for(var c=s,B=u,l=0;l<o;l++){var Q=t[g+l],I=r[g+l],d=t[g+l+o],h=r[g+l+o],E=c*d-B*h;h=c*h+B*d,d=E,t[g+l]=Q+d,r[g+l]=I+h,t[g+l+o]=Q-d,r[g+l+o]=I-h,l!==a&&(E=s*c-u*B,B=s*B+u*c,c=E)}},d.prototype.guessLen13b=function(A,e){var t=1|Math.max(e,A),r=1&t,n=0;for(t=t/2|0;t;t>>>=1)n++;return 1<<n+1+r},d.prototype.conjugate=function(A,e,t){if(!(t<=1))for(var r=0;r<t/2;r++){var n=A[r];A[r]=A[t-r-1],A[t-r-1]=n,n=e[r],e[r]=-e[t-r-1],e[t-r-1]=-n}},d.prototype.normalize13b=function(A,e){for(var t=0,r=0;r<e/2;r++){var n=8192*Math.round(A[2*r+1]/e)+Math.round(A[2*r]/e)+t;A[r]=67108863&n,t=n<67108864?0:n/67108864|0}return A},d.prototype.convert13b=function(A,e,t,n){for(var i=0,o=0;o<e;o++)i+=0|A[o],t[2*o]=8191&i,i>>>=13,t[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<n;++o)t[o]=0;r(0===i),r(0==(-8192&i))},d.prototype.stub=function(A){for(var e=new Array(A),t=0;t<A;t++)e[t]=0;return e},d.prototype.mulp=function(A,e,t){var r=2*this.guessLen13b(A.length,e.length),n=this.makeRBT(r),i=this.stub(r),o=new Array(r),a=new Array(r),s=new Array(r),u=new Array(r),g=new Array(r),c=new Array(r),B=t.words;B.length=r,this.convert13b(A.words,A.length,o,r),this.convert13b(e.words,e.length,u,r),this.transform(o,i,a,s,r,n),this.transform(u,i,g,c,r,n);for(var l=0;l<r;l++){var Q=a[l]*g[l]-s[l]*c[l];s[l]=a[l]*c[l]+s[l]*g[l],a[l]=Q}return this.conjugate(a,s,r),this.transform(a,s,B,i,r,n),this.conjugate(B,i,r),this.normalize13b(B,r),t.negative=A.negative^e.negative,t.length=A.length+e.length,t.strip()},i.prototype.mul=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),this.mulTo(A,e)},i.prototype.mulf=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),I(this,A,e)},i.prototype.imul=function(A){return this.clone().mulTo(A,this)},i.prototype.imuln=function(A){r("number"==typeof A),r(A<67108864);for(var e=0,t=0;t<this.length;t++){var n=(0|this.words[t])*A,i=(67108863&n)+(67108863&e);e>>=26,e+=n/67108864|0,e+=i>>>26,this.words[t]=67108863&i}return 0!==e&&(this.words[t]=e,this.length++),this},i.prototype.muln=function(A){return this.clone().imuln(A)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(A){var e=function(A){for(var e=new Array(A.bitLength()),t=0;t<e.length;t++){var r=t/26|0,n=t%26;e[t]=(A.words[r]&1<<n)>>>n}return e}(A);if(0===e.length)return new i(1);for(var t=this,r=0;r<e.length&&0===e[r];r++,t=t.sqr());if(++r<e.length)for(var n=t.sqr();r<e.length;r++,n=n.sqr())0!==e[r]&&(t=t.mul(n));return t},i.prototype.iushln=function(A){r("number"==typeof A&&A>=0);var e,t=A%26,n=(A-t)/26,i=67108863>>>26-t<<26-t;if(0!==t){var o=0;for(e=0;e<this.length;e++){var a=this.words[e]&i,s=(0|this.words[e])-a<<t;this.words[e]=s|o,o=a>>>26-t}o&&(this.words[e]=o,this.length++)}if(0!==n){for(e=this.length-1;e>=0;e--)this.words[e+n]=this.words[e];for(e=0;e<n;e++)this.words[e]=0;this.length+=n}return this.strip()},i.prototype.ishln=function(A){return r(0===this.negative),this.iushln(A)},i.prototype.iushrn=function(A,e,t){var n;r("number"==typeof A&&A>=0),n=e?(e-e%26)/26:0;var i=A%26,o=Math.min((A-i)/26,this.length),a=67108863^67108863>>>i<<i,s=t;if(n-=o,n=Math.max(0,n),s){for(var u=0;u<o;u++)s.words[u]=this.words[u];s.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var g=0;for(u=this.length-1;u>=0&&(0!==g||u>=n);u--){var c=0|this.words[u];this.words[u]=g<<26-i|c>>>i,g=c&a}return s&&0!==g&&(s.words[s.length++]=g),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(A,e,t){return r(0===this.negative),this.iushrn(A,e,t)},i.prototype.shln=function(A){return this.clone().ishln(A)},i.prototype.ushln=function(A){return this.clone().iushln(A)},i.prototype.shrn=function(A){return this.clone().ishrn(A)},i.prototype.ushrn=function(A){return this.clone().iushrn(A)},i.prototype.testn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26,n=1<<e;return!(this.length<=t||!(this.words[t]&n))},i.prototype.imaskn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=t)return this;if(0!==e&&t++,this.length=Math.min(t,this.length),0!==e){var n=67108863^67108863>>>e<<e;this.words[this.length-1]&=n}return this.strip()},i.prototype.maskn=function(A){return this.clone().imaskn(A)},i.prototype.iaddn=function(A){return r("number"==typeof A),r(A<67108864),A<0?this.isubn(-A):0!==this.negative?1===this.length&&(0|this.words[0])<A?(this.words[0]=A-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(A),this.negative=1,this):this._iaddn(A)},i.prototype._iaddn=function(A){this.words[0]+=A;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(A){if(r("number"==typeof A),r(A<67108864),A<0)return this.iaddn(-A);if(0!==this.negative)return this.negative=0,this.iaddn(A),this.negative=1,this;if(this.words[0]-=A,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(A){return this.clone().iaddn(A)},i.prototype.subn=function(A){return this.clone().isubn(A)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(A,e,t){var n,i,o=A.length+t;this._expand(o);var a=0;for(n=0;n<A.length;n++){i=(0|this.words[n+t])+a;var s=(0|A.words[n])*e;a=((i-=67108863&s)>>26)-(s/67108864|0),this.words[n+t]=67108863&i}for(;n<this.length-t;n++)a=(i=(0|this.words[n+t])+a)>>26,this.words[n+t]=67108863&i;if(0===a)return this.strip();for(r(-1===a),a=0,n=0;n<this.length;n++)a=(i=-(0|this.words[n])+a)>>26,this.words[n]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(A,e){var t=(this.length,A.length),r=this.clone(),n=A,o=0|n.words[n.length-1];0!=(t=26-this._countBits(o))&&(n=n.ushln(t),r.iushln(t),o=0|n.words[n.length-1]);var a,s=r.length-n.length;if("mod"!==e){(a=new i(null)).length=s+1,a.words=new Array(a.length);for(var u=0;u<a.length;u++)a.words[u]=0}var g=r.clone()._ishlnsubmul(n,1,s);0===g.negative&&(r=g,a&&(a.words[s]=1));for(var c=s-1;c>=0;c--){var B=67108864*(0|r.words[n.length+c])+(0|r.words[n.length+c-1]);for(B=Math.min(B/o|0,67108863),r._ishlnsubmul(n,B,c);0!==r.negative;)B--,r.negative=0,r._ishlnsubmul(n,1,c),r.isZero()||(r.negative^=1);a&&(a.words[c]=B)}return a&&a.strip(),r.strip(),"div"!==e&&0!==t&&r.iushrn(t),{div:a||null,mod:r}},i.prototype.divmod=function(A,e,t){return r(!A.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===A.negative?(a=this.neg().divmod(A,e),"mod"!==e&&(n=a.div.neg()),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.iadd(A)),{div:n,mod:o}):0===this.negative&&0!==A.negative?(a=this.divmod(A.neg(),e),"mod"!==e&&(n=a.div.neg()),{div:n,mod:a.mod}):0!=(this.negative&A.negative)?(a=this.neg().divmod(A.neg(),e),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.isub(A)),{div:a.div,mod:o}):A.length>this.length||this.cmp(A)<0?{div:new i(0),mod:this}:1===A.length?"div"===e?{div:this.divn(A.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(A.words[0]))}:{div:this.divn(A.words[0]),mod:new i(this.modn(A.words[0]))}:this._wordDiv(A,e);var n,o,a},i.prototype.div=function(A){return this.divmod(A,"div",!1).div},i.prototype.mod=function(A){return this.divmod(A,"mod",!1).mod},i.prototype.umod=function(A){return this.divmod(A,"mod",!0).mod},i.prototype.divRound=function(A){var e=this.divmod(A);if(e.mod.isZero())return e.div;var t=0!==e.div.negative?e.mod.isub(A):e.mod,r=A.ushrn(1),n=A.andln(1),i=t.cmp(r);return i<0||1===n&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(A){r(A<=67108863);for(var e=(1<<26)%A,t=0,n=this.length-1;n>=0;n--)t=(e*t+(0|this.words[n]))%A;return t},i.prototype.idivn=function(A){r(A<=67108863);for(var e=0,t=this.length-1;t>=0;t--){var n=(0|this.words[t])+67108864*e;this.words[t]=n/A|0,e=n%A}return this.strip()},i.prototype.divn=function(A){return this.clone().idivn(A)},i.prototype.egcd=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n=new i(1),o=new i(0),a=new i(0),s=new i(1),u=0;e.isEven()&&t.isEven();)e.iushrn(1),t.iushrn(1),++u;for(var g=t.clone(),c=e.clone();!e.isZero();){for(var B=0,l=1;0==(e.words[0]&l)&&B<26;++B,l<<=1);if(B>0)for(e.iushrn(B);B-- >0;)(n.isOdd()||o.isOdd())&&(n.iadd(g),o.isub(c)),n.iushrn(1),o.iushrn(1);for(var Q=0,I=1;0==(t.words[0]&I)&&Q<26;++Q,I<<=1);if(Q>0)for(t.iushrn(Q);Q-- >0;)(a.isOdd()||s.isOdd())&&(a.iadd(g),s.isub(c)),a.iushrn(1),s.iushrn(1);e.cmp(t)>=0?(e.isub(t),n.isub(a),o.isub(s)):(t.isub(e),a.isub(n),s.isub(o))}return{a,b:s,gcd:t.iushln(u)}},i.prototype._invmp=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n,o=new i(1),a=new i(0),s=t.clone();e.cmpn(1)>0&&t.cmpn(1)>0;){for(var u=0,g=1;0==(e.words[0]&g)&&u<26;++u,g<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);for(var c=0,B=1;0==(t.words[0]&B)&&c<26;++c,B<<=1);if(c>0)for(t.iushrn(c);c-- >0;)a.isOdd()&&a.iadd(s),a.iushrn(1);e.cmp(t)>=0?(e.isub(t),o.isub(a)):(t.isub(e),a.isub(o))}return(n=0===e.cmpn(1)?o:a).cmpn(0)<0&&n.iadd(A),n},i.prototype.gcd=function(A){if(this.isZero())return A.abs();if(A.isZero())return this.abs();var e=this.clone(),t=A.clone();e.negative=0,t.negative=0;for(var r=0;e.isEven()&&t.isEven();r++)e.iushrn(1),t.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;t.isEven();)t.iushrn(1);var n=e.cmp(t);if(n<0){var i=e;e=t,t=i}else if(0===n||0===t.cmpn(1))break;e.isub(t)}return t.iushln(r)},i.prototype.invm=function(A){return this.egcd(A).a.umod(A)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(A){return this.words[0]&A},i.prototype.bincn=function(A){r("number"==typeof A);var e=A%26,t=(A-e)/26,n=1<<e;if(this.length<=t)return this._expand(t+1),this.words[t]|=n,this;for(var i=n,o=t;0!==i&&o<this.length;o++){var a=0|this.words[o];i=(a+=i)>>>26,a&=67108863,this.words[o]=a}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(A){var e,t=A<0;if(0!==this.negative&&!t)return-1;if(0===this.negative&&t)return 1;if(this.strip(),this.length>1)e=1;else{t&&(A=-A),r(A<=67108863,"Number is too big");var n=0|this.words[0];e=n===A?0:n<A?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(A){if(0!==this.negative&&0===A.negative)return-1;if(0===this.negative&&0!==A.negative)return 1;var e=this.ucmp(A);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(A){if(this.length>A.length)return 1;if(this.length<A.length)return-1;for(var e=0,t=this.length-1;t>=0;t--){var r=0|this.words[t],n=0|A.words[t];if(r!==n){r<n?e=-1:r>n&&(e=1);break}}return e},i.prototype.gtn=function(A){return 1===this.cmpn(A)},i.prototype.gt=function(A){return 1===this.cmp(A)},i.prototype.gten=function(A){return this.cmpn(A)>=0},i.prototype.gte=function(A){return this.cmp(A)>=0},i.prototype.ltn=function(A){return-1===this.cmpn(A)},i.prototype.lt=function(A){return-1===this.cmp(A)},i.prototype.lten=function(A){return this.cmpn(A)<=0},i.prototype.lte=function(A){return this.cmp(A)<=0},i.prototype.eqn=function(A){return 0===this.cmpn(A)},i.prototype.eq=function(A){return 0===this.cmp(A)},i.red=function(A){return new y(A)},i.prototype.toRed=function(A){return r(!this.red,"Already a number in reduction context"),r(0===this.negative,"red works only with positives"),A.convertTo(this)._forceRed(A)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(A){return this.red=A,this},i.prototype.forceRed=function(A){return r(!this.red,"Already a number in reduction context"),this._forceRed(A)},i.prototype.redAdd=function(A){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,A)},i.prototype.redIAdd=function(A){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,A)},i.prototype.redSub=function(A){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,A)},i.prototype.redISub=function(A){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,A)},i.prototype.redShl=function(A){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,A)},i.prototype.redMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.mul(this,A)},i.prototype.redIMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.imul(this,A)},i.prototype.redSqr=function(){return r(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return r(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return r(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return r(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return r(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(A){return r(this.red&&!A.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,A)};var h={k256:null,p224:null,p192:null,p25519:null};function E(A,e){this.name=A,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function f(){E.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function C(){E.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function p(){E.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function m(){E.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function y(A){if("string"==typeof A){var e=i._prime(A);this.m=e.p,this.prime=e}else r(A.gtn(1),"modulus must be greater than 1"),this.m=A,this.prime=null}function v(A){y.call(this,A),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}E.prototype._tmp=function(){var A=new i(null);return A.words=new Array(Math.ceil(this.n/13)),A},E.prototype.ireduce=function(A){var e,t=A;do{this.split(t,this.tmp),e=(t=(t=this.imulK(t)).iadd(this.tmp)).bitLength()}while(e>this.n);var r=e<this.n?-1:t.ucmp(this.p);return 0===r?(t.words[0]=0,t.length=1):r>0?t.isub(this.p):void 0!==t.strip?t.strip():t._strip(),t},E.prototype.split=function(A,e){A.iushrn(this.n,0,e)},E.prototype.imulK=function(A){return A.imul(this.k)},n(f,E),f.prototype.split=function(A,e){for(var t=4194303,r=Math.min(A.length,9),n=0;n<r;n++)e.words[n]=A.words[n];if(e.length=r,A.length<=9)return A.words[0]=0,void(A.length=1);var i=A.words[9];for(e.words[e.length++]=i&t,n=10;n<A.length;n++){var o=0|A.words[n];A.words[n-10]=(o&t)<<4|i>>>22,i=o}i>>>=22,A.words[n-10]=i,0===i&&A.length>10?A.length-=10:A.length-=9},f.prototype.imulK=function(A){A.words[A.length]=0,A.words[A.length+1]=0,A.length+=2;for(var e=0,t=0;t<A.length;t++){var r=0|A.words[t];e+=977*r,A.words[t]=67108863&e,e=64*r+(e/67108864|0)}return 0===A.words[A.length-1]&&(A.length--,0===A.words[A.length-1]&&A.length--),A},n(C,E),n(p,E),n(m,E),m.prototype.imulK=function(A){for(var e=0,t=0;t<A.length;t++){var r=19*(0|A.words[t])+e,n=67108863&r;r>>>=26,A.words[t]=n,e=r}return 0!==e&&(A.words[A.length++]=e),A},i._prime=function(A){if(h[A])return h[A];var e;if("k256"===A)e=new f;else if("p224"===A)e=new C;else if("p192"===A)e=new p;else{if("p25519"!==A)throw new Error("Unknown prime "+A);e=new m}return h[A]=e,e},y.prototype._verify1=function(A){r(0===A.negative,"red works only with positives"),r(A.red,"red works only with red numbers")},y.prototype._verify2=function(A,e){r(0==(A.negative|e.negative),"red works only with positives"),r(A.red&&A.red===e.red,"red works only with red numbers")},y.prototype.imod=function(A){return this.prime?this.prime.ireduce(A)._forceRed(this):A.umod(this.m)._forceRed(this)},y.prototype.neg=function(A){return 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this._expand(t+1),this.words[t]=e?this.words[t]|1<<n:this.words[t]&~(1<<n),this.strip()},i.prototype.iadd=function(A){var e,t,r;if(0!==this.negative&&0===A.negative)return this.negative=0,e=this.isub(A),this.negative^=1,this._normSign();if(0===this.negative&&0!==A.negative)return A.negative=0,e=this.isub(A),A.negative=1,e._normSign();this.length>A.length?(t=this,r=A):(t=A,r=this);for(var n=0,i=0;i<r.length;i++)e=(0|t.words[i])+(0|r.words[i])+n,this.words[i]=67108863&e,n=e>>>26;for(;0!==n&&i<t.length;i++)e=(0|t.words[i])+n,this.words[i]=67108863&e,n=e>>>26;if(this.length=t.length,0!==n)this.words[this.length]=n,this.length++;else if(t!==this)for(;i<t.length;i++)this.words[i]=t.words[i];return this},i.prototype.add=function(A){var e;return 0!==A.negative&&0===this.negative?(A.negative=0,e=this.sub(A),A.negative^=1,e):0===A.negative&&0!==this.negative?(this.negative=0,e=A.sub(this),this.negative=1,e):this.length>A.length?this.clone().iadd(A):A.clone().iadd(this)},i.prototype.isub=function(A){if(0!==A.negative){A.negative=0;var e=this.iadd(A);return A.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(A),this.negative=1,this._normSign();var t,r,n=this.cmp(A);if(0===n)return this.negative=0,this.length=1,this.words[0]=0,this;n>0?(t=this,r=A):(t=A,r=this);for(var i=0,o=0;o<r.length;o++)i=(e=(0|t.words[o])-(0|r.words[o])+i)>>26,this.words[o]=67108863&e;for(;0!==i&&o<t.length;o++)i=(e=(0|t.words[o])+i)>>26,this.words[o]=67108863&e;if(0===i&&o<t.length&&t!==this)for(;o<t.length;o++)this.words[o]=t.words[o];return this.length=Math.max(this.length,o),t!==this&&(this.negative=1),this.strip()},i.prototype.sub=function(A){return this.clone().isub(A)};var Q=function(A,e,t){var r,n,i,o=A.words,a=e.words,s=t.words,u=0,g=0|o[0],c=8191&g,B=g>>>13,l=0|o[1],Q=8191&l,I=l>>>13,d=0|o[2],h=8191&d,E=d>>>13,f=0|o[3],C=8191&f,p=f>>>13,m=0|o[4],y=8191&m,v=m>>>13,D=0|o[5],b=8191&D,w=D>>>13,F=0|o[6],U=8191&F,S=F>>>13,N=0|o[7],R=8191&N,H=N>>>13,G=0|o[8],M=8191&G,L=G>>>13,x=0|o[9],k=8191&x,Y=x>>>13,_=0|a[0],V=8191&_,T=_>>>13,P=0|a[1],J=8191&P,O=P>>>13,K=0|a[2],j=8191&K,z=K>>>13,q=0|a[3],Z=8191&q,W=q>>>13,X=0|a[4],$=8191&X,AA=X>>>13,eA=0|a[5],tA=8191&eA,rA=eA>>>13,nA=0|a[6],iA=8191&nA,oA=nA>>>13,aA=0|a[7],sA=8191&aA,uA=aA>>>13,gA=0|a[8],cA=8191&gA,BA=gA>>>13,lA=0|a[9],QA=8191&lA,IA=lA>>>13;t.negative=A.negative^e.negative,t.length=19;var dA=(u+(r=Math.imul(c,V))|0)+((8191&(n=(n=Math.imul(c,T))+Math.imul(B,V)|0))<<13)|0;u=((i=Math.imul(B,T))+(n>>>13)|0)+(dA>>>26)|0,dA&=67108863,r=Math.imul(Q,V),n=(n=Math.imul(Q,T))+Math.imul(I,V)|0,i=Math.imul(I,T);var hA=(u+(r=r+Math.imul(c,J)|0)|0)+((8191&(n=(n=n+Math.imul(c,O)|0)+Math.imul(B,J)|0))<<13)|0;u=((i=i+Math.imul(B,O)|0)+(n>>>13)|0)+(hA>>>26)|0,hA&=67108863,r=Math.imul(h,V),n=(n=Math.imul(h,T))+Math.imul(E,V)|0,i=Math.imul(E,T),r=r+Math.imul(Q,J)|0,n=(n=n+Math.imul(Q,O)|0)+Math.imul(I,J)|0,i=i+Math.imul(I,O)|0;var EA=(u+(r=r+Math.imul(c,j)|0)|0)+((8191&(n=(n=n+Math.imul(c,z)|0)+Math.imul(B,j)|0))<<13)|0;u=((i=i+Math.imul(B,z)|0)+(n>>>13)|0)+(EA>>>26)|0,EA&=67108863,r=Math.imul(C,V),n=(n=Math.imul(C,T))+Math.imul(p,V)|0,i=Math.imul(p,T),r=r+Math.imul(h,J)|0,n=(n=n+Math.imul(h,O)|0)+Math.imul(E,J)|0,i=i+Math.imul(E,O)|0,r=r+Math.imul(Q,j)|0,n=(n=n+Math.imul(Q,z)|0)+Math.imul(I,j)|0,i=i+Math.imul(I,z)|0;var fA=(u+(r=r+Math.imul(c,Z)|0)|0)+((8191&(n=(n=n+Math.imul(c,W)|0)+Math.imul(B,Z)|0))<<13)|0;u=((i=i+Math.imul(B,W)|0)+(n>>>13)|0)+(fA>>>26)|0,fA&=67108863,r=Math.imul(y,V),n=(n=Math.imul(y,T))+Math.imul(v,V)|0,i=Math.imul(v,T),r=r+Math.imul(C,J)|0,n=(n=n+Math.imul(C,O)|0)+Math.imul(p,J)|0,i=i+Math.imul(p,O)|0,r=r+Math.imul(h,j)|0,n=(n=n+Math.imul(h,z)|0)+Math.imul(E,j)|0,i=i+Math.imul(E,z)|0,r=r+Math.imul(Q,Z)|0,n=(n=n+Math.imul(Q,W)|0)+Math.imul(I,Z)|0,i=i+Math.imul(I,W)|0;var CA=(u+(r=r+Math.imul(c,$)|0)|0)+((8191&(n=(n=n+Math.imul(c,AA)|0)+Math.imul(B,$)|0))<<13)|0;u=((i=i+Math.imul(B,AA)|0)+(n>>>13)|0)+(CA>>>26)|0,CA&=67108863,r=Math.imul(b,V),n=(n=Math.imul(b,T))+Math.imul(w,V)|0,i=Math.imul(w,T),r=r+Math.imul(y,J)|0,n=(n=n+Math.imul(y,O)|0)+Math.imul(v,J)|0,i=i+Math.imul(v,O)|0,r=r+Math.imul(C,j)|0,n=(n=n+Math.imul(C,z)|0)+Math.imul(p,j)|0,i=i+Math.imul(p,z)|0,r=r+Math.imul(h,Z)|0,n=(n=n+Math.imul(h,W)|0)+Math.imul(E,Z)|0,i=i+Math.imul(E,W)|0,r=r+Math.imul(Q,$)|0,n=(n=n+Math.imul(Q,AA)|0)+Math.imul(I,$)|0,i=i+Math.imul(I,AA)|0;var pA=(u+(r=r+Math.imul(c,tA)|0)|0)+((8191&(n=(n=n+Math.imul(c,rA)|0)+Math.imul(B,tA)|0))<<13)|0;u=((i=i+Math.imul(B,rA)|0)+(n>>>13)|0)+(pA>>>26)|0,pA&=67108863,r=Math.imul(U,V),n=(n=Math.imul(U,T))+Math.imul(S,V)|0,i=Math.imul(S,T),r=r+Math.imul(b,J)|0,n=(n=n+Math.imul(b,O)|0)+Math.imul(w,J)|0,i=i+Math.imul(w,O)|0,r=r+Math.imul(y,j)|0,n=(n=n+Math.imul(y,z)|0)+Math.imul(v,j)|0,i=i+Math.imul(v,z)|0,r=r+Math.imul(C,Z)|0,n=(n=n+Math.imul(C,W)|0)+Math.imul(p,Z)|0,i=i+Math.imul(p,W)|0,r=r+Math.imul(h,$)|0,n=(n=n+Math.imul(h,AA)|0)+Math.imul(E,$)|0,i=i+Math.imul(E,AA)|0,r=r+Math.imul(Q,tA)|0,n=(n=n+Math.imul(Q,rA)|0)+Math.imul(I,tA)|0,i=i+Math.imul(I,rA)|0;var mA=(u+(r=r+Math.imul(c,iA)|0)|0)+((8191&(n=(n=n+Math.imul(c,oA)|0)+Math.imul(B,iA)|0))<<13)|0;u=((i=i+Math.imul(B,oA)|0)+(n>>>13)|0)+(mA>>>26)|0,mA&=67108863,r=Math.imul(R,V),n=(n=Math.imul(R,T))+Math.imul(H,V)|0,i=Math.imul(H,T),r=r+Math.imul(U,J)|0,n=(n=n+Math.imul(U,O)|0)+Math.imul(S,J)|0,i=i+Math.imul(S,O)|0,r=r+Math.imul(b,j)|0,n=(n=n+Math.imul(b,z)|0)+Math.imul(w,j)|0,i=i+Math.imul(w,z)|0,r=r+Math.imul(y,Z)|0,n=(n=n+Math.imul(y,W)|0)+Math.imul(v,Z)|0,i=i+Math.imul(v,W)|0,r=r+Math.imul(C,$)|0,n=(n=n+Math.imul(C,AA)|0)+Math.imul(p,$)|0,i=i+Math.imul(p,AA)|0,r=r+Math.imul(h,tA)|0,n=(n=n+Math.imul(h,rA)|0)+Math.imul(E,tA)|0,i=i+Math.imul(E,rA)|0,r=r+Math.imul(Q,iA)|0,n=(n=n+Math.imul(Q,oA)|0)+Math.imul(I,iA)|0,i=i+Math.imul(I,oA)|0;var yA=(u+(r=r+Math.imul(c,sA)|0)|0)+((8191&(n=(n=n+Math.imul(c,uA)|0)+Math.imul(B,sA)|0))<<13)|0;u=((i=i+Math.imul(B,uA)|0)+(n>>>13)|0)+(yA>>>26)|0,yA&=67108863,r=Math.imul(M,V),n=(n=Math.imul(M,T))+Math.imul(L,V)|0,i=Math.imul(L,T),r=r+Math.imul(R,J)|0,n=(n=n+Math.imul(R,O)|0)+Math.imul(H,J)|0,i=i+Math.imul(H,O)|0,r=r+Math.imul(U,j)|0,n=(n=n+Math.imul(U,z)|0)+Math.imul(S,j)|0,i=i+Math.imul(S,z)|0,r=r+Math.imul(b,Z)|0,n=(n=n+Math.imul(b,W)|0)+Math.imul(w,Z)|0,i=i+Math.imul(w,W)|0,r=r+Math.imul(y,$)|0,n=(n=n+Math.imul(y,AA)|0)+Math.imul(v,$)|0,i=i+Math.imul(v,AA)|0,r=r+Math.imul(C,tA)|0,n=(n=n+Math.imul(C,rA)|0)+Math.imul(p,tA)|0,i=i+Math.imul(p,rA)|0,r=r+Math.imul(h,iA)|0,n=(n=n+Math.imul(h,oA)|0)+Math.imul(E,iA)|0,i=i+Math.imul(E,oA)|0,r=r+Math.imul(Q,sA)|0,n=(n=n+Math.imul(Q,uA)|0)+Math.imul(I,sA)|0,i=i+Math.imul(I,uA)|0;var vA=(u+(r=r+Math.imul(c,cA)|0)|0)+((8191&(n=(n=n+Math.imul(c,BA)|0)+Math.imul(B,cA)|0))<<13)|0;u=((i=i+Math.imul(B,BA)|0)+(n>>>13)|0)+(vA>>>26)|0,vA&=67108863,r=Math.imul(k,V),n=(n=Math.imul(k,T))+Math.imul(Y,V)|0,i=Math.imul(Y,T),r=r+Math.imul(M,J)|0,n=(n=n+Math.imul(M,O)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,O)|0,r=r+Math.imul(R,j)|0,n=(n=n+Math.imul(R,z)|0)+Math.imul(H,j)|0,i=i+Math.imul(H,z)|0,r=r+Math.imul(U,Z)|0,n=(n=n+Math.imul(U,W)|0)+Math.imul(S,Z)|0,i=i+Math.imul(S,W)|0,r=r+Math.imul(b,$)|0,n=(n=n+Math.imul(b,AA)|0)+Math.imul(w,$)|0,i=i+Math.imul(w,AA)|0,r=r+Math.imul(y,tA)|0,n=(n=n+Math.imul(y,rA)|0)+Math.imul(v,tA)|0,i=i+Math.imul(v,rA)|0,r=r+Math.imul(C,iA)|0,n=(n=n+Math.imul(C,oA)|0)+Math.imul(p,iA)|0,i=i+Math.imul(p,oA)|0,r=r+Math.imul(h,sA)|0,n=(n=n+Math.imul(h,uA)|0)+Math.imul(E,sA)|0,i=i+Math.imul(E,uA)|0,r=r+Math.imul(Q,cA)|0,n=(n=n+Math.imul(Q,BA)|0)+Math.imul(I,cA)|0,i=i+Math.imul(I,BA)|0;var DA=(u+(r=r+Math.imul(c,QA)|0)|0)+((8191&(n=(n=n+Math.imul(c,IA)|0)+Math.imul(B,QA)|0))<<13)|0;u=((i=i+Math.imul(B,IA)|0)+(n>>>13)|0)+(DA>>>26)|0,DA&=67108863,r=Math.imul(k,J),n=(n=Math.imul(k,O))+Math.imul(Y,J)|0,i=Math.imul(Y,O),r=r+Math.imul(M,j)|0,n=(n=n+Math.imul(M,z)|0)+Math.imul(L,j)|0,i=i+Math.imul(L,z)|0,r=r+Math.imul(R,Z)|0,n=(n=n+Math.imul(R,W)|0)+Math.imul(H,Z)|0,i=i+Math.imul(H,W)|0,r=r+Math.imul(U,$)|0,n=(n=n+Math.imul(U,AA)|0)+Math.imul(S,$)|0,i=i+Math.imul(S,AA)|0,r=r+Math.imul(b,tA)|0,n=(n=n+Math.imul(b,rA)|0)+Math.imul(w,tA)|0,i=i+Math.imul(w,rA)|0,r=r+Math.imul(y,iA)|0,n=(n=n+Math.imul(y,oA)|0)+Math.imul(v,iA)|0,i=i+Math.imul(v,oA)|0,r=r+Math.imul(C,sA)|0,n=(n=n+Math.imul(C,uA)|0)+Math.imul(p,sA)|0,i=i+Math.imul(p,uA)|0,r=r+Math.imul(h,cA)|0,n=(n=n+Math.imul(h,BA)|0)+Math.imul(E,cA)|0,i=i+Math.imul(E,BA)|0;var bA=(u+(r=r+Math.imul(Q,QA)|0)|0)+((8191&(n=(n=n+Math.imul(Q,IA)|0)+Math.imul(I,QA)|0))<<13)|0;u=((i=i+Math.imul(I,IA)|0)+(n>>>13)|0)+(bA>>>26)|0,bA&=67108863,r=Math.imul(k,j),n=(n=Math.imul(k,z))+Math.imul(Y,j)|0,i=Math.imul(Y,z),r=r+Math.imul(M,Z)|0,n=(n=n+Math.imul(M,W)|0)+Math.imul(L,Z)|0,i=i+Math.imul(L,W)|0,r=r+Math.imul(R,$)|0,n=(n=n+Math.imul(R,AA)|0)+Math.imul(H,$)|0,i=i+Math.imul(H,AA)|0,r=r+Math.imul(U,tA)|0,n=(n=n+Math.imul(U,rA)|0)+Math.imul(S,tA)|0,i=i+Math.imul(S,rA)|0,r=r+Math.imul(b,iA)|0,n=(n=n+Math.imul(b,oA)|0)+Math.imul(w,iA)|0,i=i+Math.imul(w,oA)|0,r=r+Math.imul(y,sA)|0,n=(n=n+Math.imul(y,uA)|0)+Math.imul(v,sA)|0,i=i+Math.imul(v,uA)|0,r=r+Math.imul(C,cA)|0,n=(n=n+Math.imul(C,BA)|0)+Math.imul(p,cA)|0,i=i+Math.imul(p,BA)|0;var wA=(u+(r=r+Math.imul(h,QA)|0)|0)+((8191&(n=(n=n+Math.imul(h,IA)|0)+Math.imul(E,QA)|0))<<13)|0;u=((i=i+Math.imul(E,IA)|0)+(n>>>13)|0)+(wA>>>26)|0,wA&=67108863,r=Math.imul(k,Z),n=(n=Math.imul(k,W))+Math.imul(Y,Z)|0,i=Math.imul(Y,W),r=r+Math.imul(M,$)|0,n=(n=n+Math.imul(M,AA)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,AA)|0,r=r+Math.imul(R,tA)|0,n=(n=n+Math.imul(R,rA)|0)+Math.imul(H,tA)|0,i=i+Math.imul(H,rA)|0,r=r+Math.imul(U,iA)|0,n=(n=n+Math.imul(U,oA)|0)+Math.imul(S,iA)|0,i=i+Math.imul(S,oA)|0,r=r+Math.imul(b,sA)|0,n=(n=n+Math.imul(b,uA)|0)+Math.imul(w,sA)|0,i=i+Math.imul(w,uA)|0,r=r+Math.imul(y,cA)|0,n=(n=n+Math.imul(y,BA)|0)+Math.imul(v,cA)|0,i=i+Math.imul(v,BA)|0;var FA=(u+(r=r+Math.imul(C,QA)|0)|0)+((8191&(n=(n=n+Math.imul(C,IA)|0)+Math.imul(p,QA)|0))<<13)|0;u=((i=i+Math.imul(p,IA)|0)+(n>>>13)|0)+(FA>>>26)|0,FA&=67108863,r=Math.imul(k,$),n=(n=Math.imul(k,AA))+Math.imul(Y,$)|0,i=Math.imul(Y,AA),r=r+Math.imul(M,tA)|0,n=(n=n+Math.imul(M,rA)|0)+Math.imul(L,tA)|0,i=i+Math.imul(L,rA)|0,r=r+Math.imul(R,iA)|0,n=(n=n+Math.imul(R,oA)|0)+Math.imul(H,iA)|0,i=i+Math.imul(H,oA)|0,r=r+Math.imul(U,sA)|0,n=(n=n+Math.imul(U,uA)|0)+Math.imul(S,sA)|0,i=i+Math.imul(S,uA)|0,r=r+Math.imul(b,cA)|0,n=(n=n+Math.imul(b,BA)|0)+Math.imul(w,cA)|0,i=i+Math.imul(w,BA)|0;var UA=(u+(r=r+Math.imul(y,QA)|0)|0)+((8191&(n=(n=n+Math.imul(y,IA)|0)+Math.imul(v,QA)|0))<<13)|0;u=((i=i+Math.imul(v,IA)|0)+(n>>>13)|0)+(UA>>>26)|0,UA&=67108863,r=Math.imul(k,tA),n=(n=Math.imul(k,rA))+Math.imul(Y,tA)|0,i=Math.imul(Y,rA),r=r+Math.imul(M,iA)|0,n=(n=n+Math.imul(M,oA)|0)+Math.imul(L,iA)|0,i=i+Math.imul(L,oA)|0,r=r+Math.imul(R,sA)|0,n=(n=n+Math.imul(R,uA)|0)+Math.imul(H,sA)|0,i=i+Math.imul(H,uA)|0,r=r+Math.imul(U,cA)|0,n=(n=n+Math.imul(U,BA)|0)+Math.imul(S,cA)|0,i=i+Math.imul(S,BA)|0;var SA=(u+(r=r+Math.imul(b,QA)|0)|0)+((8191&(n=(n=n+Math.imul(b,IA)|0)+Math.imul(w,QA)|0))<<13)|0;u=((i=i+Math.imul(w,IA)|0)+(n>>>13)|0)+(SA>>>26)|0,SA&=67108863,r=Math.imul(k,iA),n=(n=Math.imul(k,oA))+Math.imul(Y,iA)|0,i=Math.imul(Y,oA),r=r+Math.imul(M,sA)|0,n=(n=n+Math.imul(M,uA)|0)+Math.imul(L,sA)|0,i=i+Math.imul(L,uA)|0,r=r+Math.imul(R,cA)|0,n=(n=n+Math.imul(R,BA)|0)+Math.imul(H,cA)|0,i=i+Math.imul(H,BA)|0;var NA=(u+(r=r+Math.imul(U,QA)|0)|0)+((8191&(n=(n=n+Math.imul(U,IA)|0)+Math.imul(S,QA)|0))<<13)|0;u=((i=i+Math.imul(S,IA)|0)+(n>>>13)|0)+(NA>>>26)|0,NA&=67108863,r=Math.imul(k,sA),n=(n=Math.imul(k,uA))+Math.imul(Y,sA)|0,i=Math.imul(Y,uA),r=r+Math.imul(M,cA)|0,n=(n=n+Math.imul(M,BA)|0)+Math.imul(L,cA)|0,i=i+Math.imul(L,BA)|0;var RA=(u+(r=r+Math.imul(R,QA)|0)|0)+((8191&(n=(n=n+Math.imul(R,IA)|0)+Math.imul(H,QA)|0))<<13)|0;u=((i=i+Math.imul(H,IA)|0)+(n>>>13)|0)+(RA>>>26)|0,RA&=67108863,r=Math.imul(k,cA),n=(n=Math.imul(k,BA))+Math.imul(Y,cA)|0,i=Math.imul(Y,BA);var HA=(u+(r=r+Math.imul(M,QA)|0)|0)+((8191&(n=(n=n+Math.imul(M,IA)|0)+Math.imul(L,QA)|0))<<13)|0;u=((i=i+Math.imul(L,IA)|0)+(n>>>13)|0)+(HA>>>26)|0,HA&=67108863;var GA=(u+(r=Math.imul(k,QA))|0)+((8191&(n=(n=Math.imul(k,IA))+Math.imul(Y,QA)|0))<<13)|0;return 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n=8192*Math.round(A[2*r+1]/e)+Math.round(A[2*r]/e)+t;A[r]=67108863&n,t=n<67108864?0:n/67108864|0}return A},d.prototype.convert13b=function(A,e,t,n){for(var i=0,o=0;o<e;o++)i+=0|A[o],t[2*o]=8191&i,i>>>=13,t[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<n;++o)t[o]=0;r(0===i),r(0==(-8192&i))},d.prototype.stub=function(A){for(var e=new Array(A),t=0;t<A;t++)e[t]=0;return e},d.prototype.mulp=function(A,e,t){var r=2*this.guessLen13b(A.length,e.length),n=this.makeRBT(r),i=this.stub(r),o=new Array(r),a=new Array(r),s=new Array(r),u=new Array(r),g=new Array(r),c=new Array(r),B=t.words;B.length=r,this.convert13b(A.words,A.length,o,r),this.convert13b(e.words,e.length,u,r),this.transform(o,i,a,s,r,n),this.transform(u,i,g,c,r,n);for(var l=0;l<r;l++){var Q=a[l]*g[l]-s[l]*c[l];s[l]=a[l]*c[l]+s[l]*g[l],a[l]=Q}return this.conjugate(a,s,r),this.transform(a,s,B,i,r,n),this.conjugate(B,i,r),this.normalize13b(B,r),t.negative=A.negative^e.negative,t.length=A.length+e.length,t.strip()},i.prototype.mul=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),this.mulTo(A,e)},i.prototype.mulf=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),I(this,A,e)},i.prototype.imul=function(A){return this.clone().mulTo(A,this)},i.prototype.imuln=function(A){r("number"==typeof A),r(A<67108864);for(var e=0,t=0;t<this.length;t++){var n=(0|this.words[t])*A,i=(67108863&n)+(67108863&e);e>>=26,e+=n/67108864|0,e+=i>>>26,this.words[t]=67108863&i}return 0!==e&&(this.words[t]=e,this.length++),this},i.prototype.muln=function(A){return this.clone().imuln(A)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(A){var e=function(A){for(var e=new Array(A.bitLength()),t=0;t<e.length;t++){var r=t/26|0,n=t%26;e[t]=(A.words[r]&1<<n)>>>n}return e}(A);if(0===e.length)return new i(1);for(var t=this,r=0;r<e.length&&0===e[r];r++,t=t.sqr());if(++r<e.length)for(var 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c=0|this.words[u];this.words[u]=g<<26-i|c>>>i,g=c&a}return s&&0!==g&&(s.words[s.length++]=g),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(A,e,t){return r(0===this.negative),this.iushrn(A,e,t)},i.prototype.shln=function(A){return this.clone().ishln(A)},i.prototype.ushln=function(A){return this.clone().iushln(A)},i.prototype.shrn=function(A){return this.clone().ishrn(A)},i.prototype.ushrn=function(A){return this.clone().iushrn(A)},i.prototype.testn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26,n=1<<e;return!(this.length<=t||!(this.words[t]&n))},i.prototype.imaskn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=t)return this;if(0!==e&&t++,this.length=Math.min(t,this.length),0!==e){var n=67108863^67108863>>>e<<e;this.words[this.length-1]&=n}return this.strip()},i.prototype.maskn=function(A){return 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this.clone().iaddn(A)},i.prototype.subn=function(A){return this.clone().isubn(A)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(A,e,t){var n,i,o=A.length+t;this._expand(o);var a=0;for(n=0;n<A.length;n++){i=(0|this.words[n+t])+a;var s=(0|A.words[n])*e;a=((i-=67108863&s)>>26)-(s/67108864|0),this.words[n+t]=67108863&i}for(;n<this.length-t;n++)a=(i=(0|this.words[n+t])+a)>>26,this.words[n+t]=67108863&i;if(0===a)return this.strip();for(r(-1===a),a=0,n=0;n<this.length;n++)a=(i=-(0|this.words[n])+a)>>26,this.words[n]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(A,e){var t=(this.length,A.length),r=this.clone(),n=A,o=0|n.words[n.length-1];0!=(t=26-this._countBits(o))&&(n=n.ushln(t),r.iushln(t),o=0|n.words[n.length-1]);var a,s=r.length-n.length;if("mod"!==e){(a=new i(null)).length=s+1,a.words=new Array(a.length);for(var u=0;u<a.length;u++)a.words[u]=0}var g=r.clone()._ishlnsubmul(n,1,s);0===g.negative&&(r=g,a&&(a.words[s]=1));for(var c=s-1;c>=0;c--){var B=67108864*(0|r.words[n.length+c])+(0|r.words[n.length+c-1]);for(B=Math.min(B/o|0,67108863),r._ishlnsubmul(n,B,c);0!==r.negative;)B--,r.negative=0,r._ishlnsubmul(n,1,c),r.isZero()||(r.negative^=1);a&&(a.words[c]=B)}return a&&a.strip(),r.strip(),"div"!==e&&0!==t&&r.iushrn(t),{div:a||null,mod:r}},i.prototype.divmod=function(A,e,t){return r(!A.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===A.negative?(a=this.neg().divmod(A,e),"mod"!==e&&(n=a.div.neg()),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.iadd(A)),{div:n,mod:o}):0===this.negative&&0!==A.negative?(a=this.divmod(A.neg(),e),"mod"!==e&&(n=a.div.neg()),{div:n,mod:a.mod}):0!=(this.negative&A.negative)?(a=this.neg().divmod(A.neg(),e),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.isub(A)),{div:a.div,mod:o}):A.length>this.length||this.cmp(A)<0?{div:new i(0),mod:this}:1===A.length?"div"===e?{div:this.divn(A.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(A.words[0]))}:{div:this.divn(A.words[0]),mod:new i(this.modn(A.words[0]))}:this._wordDiv(A,e);var n,o,a},i.prototype.div=function(A){return this.divmod(A,"div",!1).div},i.prototype.mod=function(A){return this.divmod(A,"mod",!1).mod},i.prototype.umod=function(A){return this.divmod(A,"mod",!0).mod},i.prototype.divRound=function(A){var e=this.divmod(A);if(e.mod.isZero())return e.div;var t=0!==e.div.negative?e.mod.isub(A):e.mod,r=A.ushrn(1),n=A.andln(1),i=t.cmp(r);return i<0||1===n&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(A){r(A<=67108863);for(var e=(1<<26)%A,t=0,n=this.length-1;n>=0;n--)t=(e*t+(0|this.words[n]))%A;return t},i.prototype.idivn=function(A){r(A<=67108863);for(var e=0,t=this.length-1;t>=0;t--){var n=(0|this.words[t])+67108864*e;this.words[t]=n/A|0,e=n%A}return this.strip()},i.prototype.divn=function(A){return this.clone().idivn(A)},i.prototype.egcd=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n=new i(1),o=new i(0),a=new i(0),s=new i(1),u=0;e.isEven()&&t.isEven();)e.iushrn(1),t.iushrn(1),++u;for(var g=t.clone(),c=e.clone();!e.isZero();){for(var B=0,l=1;0==(e.words[0]&l)&&B<26;++B,l<<=1);if(B>0)for(e.iushrn(B);B-- >0;)(n.isOdd()||o.isOdd())&&(n.iadd(g),o.isub(c)),n.iushrn(1),o.iushrn(1);for(var Q=0,I=1;0==(t.words[0]&I)&&Q<26;++Q,I<<=1);if(Q>0)for(t.iushrn(Q);Q-- >0;)(a.isOdd()||s.isOdd())&&(a.iadd(g),s.isub(c)),a.iushrn(1),s.iushrn(1);e.cmp(t)>=0?(e.isub(t),n.isub(a),o.isub(s)):(t.isub(e),a.isub(n),s.isub(o))}return{a,b:s,gcd:t.iushln(u)}},i.prototype._invmp=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n,o=new i(1),a=new i(0),s=t.clone();e.cmpn(1)>0&&t.cmpn(1)>0;){for(var u=0,g=1;0==(e.words[0]&g)&&u<26;++u,g<<=1);if(u>0)for(e.iushrn(u);u-- 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this._expand(t+1),this.words[t]|=n,this;for(var i=n,o=t;0!==i&&o<this.length;o++){var a=0|this.words[o];i=(a+=i)>>>26,a&=67108863,this.words[o]=a}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(A){var e,t=A<0;if(0!==this.negative&&!t)return-1;if(0===this.negative&&t)return 1;if(this.strip(),this.length>1)e=1;else{t&&(A=-A),r(A<=67108863,"Number is too big");var n=0|this.words[0];e=n===A?0:n<A?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(A){if(0!==this.negative&&0===A.negative)return-1;if(0===this.negative&&0!==A.negative)return 1;var e=this.ucmp(A);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(A){if(this.length>A.length)return 1;if(this.length<A.length)return-1;for(var e=0,t=this.length-1;t>=0;t--){var r=0|this.words[t],n=0|A.words[t];if(r!==n){r<n?e=-1:r>n&&(e=1);break}}return e},i.prototype.gtn=function(A){return 1===this.cmpn(A)},i.prototype.gt=function(A){return 1===this.cmp(A)},i.prototype.gten=function(A){return this.cmpn(A)>=0},i.prototype.gte=function(A){return this.cmp(A)>=0},i.prototype.ltn=function(A){return-1===this.cmpn(A)},i.prototype.lt=function(A){return-1===this.cmp(A)},i.prototype.lten=function(A){return this.cmpn(A)<=0},i.prototype.lte=function(A){return this.cmp(A)<=0},i.prototype.eqn=function(A){return 0===this.cmpn(A)},i.prototype.eq=function(A){return 0===this.cmp(A)},i.red=function(A){return new y(A)},i.prototype.toRed=function(A){return r(!this.red,"Already a number in reduction context"),r(0===this.negative,"red works only with positives"),A.convertTo(this)._forceRed(A)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(A){return this.red=A,this},i.prototype.forceRed=function(A){return r(!this.red,"Already a number in reduction context"),this._forceRed(A)},i.prototype.redAdd=function(A){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,A)},i.prototype.redIAdd=function(A){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,A)},i.prototype.redSub=function(A){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,A)},i.prototype.redISub=function(A){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,A)},i.prototype.redShl=function(A){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,A)},i.prototype.redMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.mul(this,A)},i.prototype.redIMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.imul(this,A)},i.prototype.redSqr=function(){return r(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return r(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return r(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return r(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return r(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(A){return r(this.red&&!A.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,A)};var h={k256:null,p224:null,p192:null,p25519:null};function E(A,e){this.name=A,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function f(){E.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function C(){E.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function p(){E.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function m(){E.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function y(A){if("string"==typeof A){var e=i._prime(A);this.m=e.p,this.prime=e}else r(A.gtn(1),"modulus must be greater than 1"),this.m=A,this.prime=null}function v(A){y.call(this,A),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}E.prototype._tmp=function(){var A=new i(null);return A.words=new Array(Math.ceil(this.n/13)),A},E.prototype.ireduce=function(A){var e,t=A;do{this.split(t,this.tmp),e=(t=(t=this.imulK(t)).iadd(this.tmp)).bitLength()}while(e>this.n);var r=e<this.n?-1:t.ucmp(this.p);return 0===r?(t.words[0]=0,t.length=1):r>0?t.isub(this.p):void 0!==t.strip?t.strip():t._strip(),t},E.prototype.split=function(A,e){A.iushrn(this.n,0,e)},E.prototype.imulK=function(A){return A.imul(this.k)},n(f,E),f.prototype.split=function(A,e){for(var t=4194303,r=Math.min(A.length,9),n=0;n<r;n++)e.words[n]=A.words[n];if(e.length=r,A.length<=9)return A.words[0]=0,void(A.length=1);var i=A.words[9];for(e.words[e.length++]=i&t,n=10;n<A.length;n++){var o=0|A.words[n];A.words[n-10]=(o&t)<<4|i>>>22,i=o}i>>>=22,A.words[n-10]=i,0===i&&A.length>10?A.length-=10:A.length-=9},f.prototype.imulK=function(A){A.words[A.length]=0,A.words[A.length+1]=0,A.length+=2;for(var e=0,t=0;t<A.length;t++){var r=0|A.words[t];e+=977*r,A.words[t]=67108863&e,e=64*r+(e/67108864|0)}return 0===A.words[A.length-1]&&(A.length--,0===A.words[A.length-1]&&A.length--),A},n(C,E),n(p,E),n(m,E),m.prototype.imulK=function(A){for(var e=0,t=0;t<A.length;t++){var r=19*(0|A.words[t])+e,n=67108863&r;r>>>=26,A.words[t]=n,e=r}return 0!==e&&(A.words[A.length++]=e),A},i._prime=function(A){if(h[A])return h[A];var e;if("k256"===A)e=new f;else if("p224"===A)e=new C;else if("p192"===A)e=new p;else{if("p25519"!==A)throw new Error("Unknown prime "+A);e=new m}return h[A]=e,e},y.prototype._verify1=function(A){r(0===A.negative,"red works only with positives"),r(A.red,"red works only with red numbers")},y.prototype._verify2=function(A,e){r(0==(A.negative|e.negative),"red works only with positives"),r(A.red&&A.red===e.red,"red works only with red numbers")},y.prototype.imod=function(A){return this.prime?this.prime.ireduce(A)._forceRed(this):A.umod(this.m)._forceRed(this)},y.prototype.neg=function(A){return A.isZero()?A.clone():this.m.sub(A)._forceRed(this)},y.prototype.add=function(A,e){this._verify2(A,e);var t=A.add(e);return t.cmp(this.m)>=0&&t.isub(this.m),t._forceRed(this)},y.prototype.iadd=function(A,e){this._verify2(A,e);var t=A.iadd(e);return t.cmp(this.m)>=0&&t.isub(this.m),t},y.prototype.sub=function(A,e){this._verify2(A,e);var t=A.sub(e);return t.cmpn(0)<0&&t.iadd(this.m),t._forceRed(this)},y.prototype.isub=function(A,e){this._verify2(A,e);var t=A.isub(e);return t.cmpn(0)<0&&t.iadd(this.m),t},y.prototype.shl=function(A,e){return this._verify1(A),this.imod(A.ushln(e))},y.prototype.imul=function(A,e){return this._verify2(A,e),this.imod(A.imul(e))},y.prototype.mul=function(A,e){return this._verify2(A,e),this.imod(A.mul(e))},y.prototype.isqr=function(A){return this.imul(A,A.clone())},y.prototype.sqr=function(A){return this.mul(A,A)},y.prototype.sqrt=function(A){if(A.isZero())return A.clone();var e=this.m.andln(3);if(r(e%2==1),3===e){var t=this.m.add(new i(1)).iushrn(2);return this.pow(A,t)}for(var n=this.m.subn(1),o=0;!n.isZero()&&0===n.andln(1);)o++,n.iushrn(1);r(!n.isZero());var a=new i(1).toRed(this),s=a.redNeg(),u=this.m.subn(1).iushrn(1),g=this.m.bitLength();for(g=new i(2*g*g).toRed(this);0!==this.pow(g,u).cmp(s);)g.redIAdd(s);for(var c=this.pow(g,n),B=this.pow(A,n.addn(1).iushrn(1)),l=this.pow(A,n),Q=o;0!==l.cmp(a);){for(var I=l,d=0;0!==I.cmp(a);d++)I=I.redSqr();r(d<Q);var h=this.pow(c,new i(1).iushln(Q-d-1));B=B.redMul(h),c=h.redSqr(),l=l.redMul(c),Q=d}return B},y.prototype.invm=function(A){var e=A._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},y.prototype.pow=function(A,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return A.clone();var t=new Array(16);t[0]=new i(1).toRed(this),t[1]=A;for(var r=2;r<t.length;r++)t[r]=this.mul(t[r-1],A);var n=t[0],o=0,a=0,s=e.bitLength()%26;for(0===s&&(s=26),r=e.length-1;r>=0;r--){for(var u=e.words[r],g=s-1;g>=0;g--){var c=u>>g&1;n!==t[0]&&(n=this.sqr(n)),0!==c||0!==o?(o<<=1,o|=c,(4==++a||0===r&&0===g)&&(n=this.mul(n,t[o]),a=0,o=0)):a=0}s=26}return n},y.prototype.convertTo=function(A){var e=A.umod(this.m);return e===A?e.clone():e},y.prototype.convertFrom=function(A){var e=A.clone();return e.red=null,e},i.mont=function(A){return new v(A)},n(v,y),v.prototype.convertTo=function(A){return this.imod(A.ushln(this.shift))},v.prototype.convertFrom=function(A){var e=this.imod(A.mul(this.rinv));return e.red=null,e},v.prototype.imul=function(A,e){if(A.isZero()||e.isZero())return A.words[0]=0,A.length=1,A;var t=A.imul(e),r=t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),n=t.isub(r).iushrn(this.shift),i=n;return n.cmp(this.m)>=0?i=n.isub(this.m):n.cmpn(0)<0&&(i=n.iadd(this.m)),i._forceRed(this)},v.prototype.mul=function(A,e){if(A.isZero()||e.isZero())return new i(0)._forceRed(this);var t=A.mul(e),r=t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),n=t.isub(r).iushrn(this.shift),o=n;return n.cmp(this.m)>=0?o=n.isub(this.m):n.cmpn(0)<0&&(o=n.iadd(this.m)),o._forceRed(this)},v.prototype.invm=function(A){return this.imod(A._invmp(this.m).mul(this.r2))._forceRed(this)}}(A=t.nmd(A),this)},5733:(A,e,t)=>{"use strict";t.r(e)},9746:A=>{function e(A,e){if(!A)throw new Error(e||"Assertion failed")}A.exports=e,e.equal=function(A,e,t){if(A!=e)throw new Error(t||"Assertion failed: "+A+" != "+e)}},4504:(A,e)=>{"use strict";var t=e;function r(A){return 1===A.length?"0"+A:A}function n(A){for(var e="",t=0;t<A.length;t++)e+=r(A[t].toString(16));return e}t.toArray=function(A,e){if(Array.isArray(A))return A.slice();if(!A)return[];var t=[];if("string"!=typeof A){for(var r=0;r<A.length;r++)t[r]=0|A[r];return t}if("hex"===e)for((A=A.replace(/[^a-z0-9]+/gi,"")).length%2!=0&&(A="0"+A),r=0;r<A.length;r+=2)t.push(parseInt(A[r]+A[r+1],16));else for(r=0;r<A.length;r++){var n=A.charCodeAt(r),i=n>>8,o=255&n;i?t.push(i,o):t.push(o)}return t},t.zero2=r,t.toHex=n,t.encode=function(A,e){return"hex"===e?n(A):A}},7418:A=>{"use strict";var e=Object.getOwnPropertySymbols,t=Object.prototype.hasOwnProperty,r=Object.prototype.propertyIsEnumerable;function n(A){if(null==A)throw new TypeError("Object.assign cannot be called with null or undefined");return Object(A)}A.exports=function(){try{if(!Object.assign)return!1;var A=new String("abc");if(A[5]="de","5"===Object.getOwnPropertyNames(A)[0])return!1;for(var e={},t=0;t<10;t++)e["_"+String.fromCharCode(t)]=t;if("0123456789"!==Object.getOwnPropertyNames(e).map((function(A){return e[A]})).join(""))return!1;var r={};return"abcdefghijklmnopqrst".split("").forEach((function(A){r[A]=A})),"abcdefghijklmnopqrst"===Object.keys(Object.assign({},r)).join("")}catch(A){return!1}}()?Object.assign:function(A,i){for(var o,a,s=n(A),u=1;u<arguments.length;u++){for(var g in o=Object(arguments[u]))t.call(o,g)&&(s[g]=o[g]);if(e){a=e(o);for(var c=0;c<a.length;c++)r.call(o,a[c])&&(s[a[c]]=o[a[c]])}}return s}},2818:(A,e,t)=>{"use strict";var r=t(9809);e.certificate=t(1934);var n=r.define("RSAPrivateKey",(function(){this.seq().obj(this.key("version").int(),this.key("modulus").int(),this.key("publicExponent").int(),this.key("privateExponent").int(),this.key("prime1").int(),this.key("prime2").int(),this.key("exponent1").int(),this.key("exponent2").int(),this.key("coefficient").int())}));e.RSAPrivateKey=n;var i=r.define("RSAPublicKey",(function(){this.seq().obj(this.key("modulus").int(),this.key("publicExponent").int())}));e.RSAPublicKey=i;var o=r.define("SubjectPublicKeyInfo",(function(){this.seq().obj(this.key("algorithm").use(a),this.key("subjectPublicKey").bitstr())}));e.PublicKey=o;var a=r.define("AlgorithmIdentifier",(function(){this.seq().obj(this.key("algorithm").objid(),this.key("none").null_().optional(),this.key("curve").objid().optional(),this.key("params").seq().obj(this.key("p").int(),this.key("q").int(),this.key("g").int()).optional())})),s=r.define("PrivateKeyInfo",(function(){this.seq().obj(this.key("version").int(),this.key("algorithm").use(a),this.key("subjectPrivateKey").octstr())}));e.PrivateKey=s;var u=r.define("EncryptedPrivateKeyInfo",(function(){this.seq().obj(this.key("algorithm").seq().obj(this.key("id").objid(),this.key("decrypt").seq().obj(this.key("kde").seq().obj(this.key("id").objid(),this.key("kdeparams").seq().obj(this.key("salt").octstr(),this.key("iters").int())),this.key("cipher").seq().obj(this.key("algo").objid(),this.key("iv").octstr()))),this.key("subjectPrivateKey").octstr())}));e.EncryptedPrivateKey=u;var g=r.define("DSAPrivateKey",(function(){this.seq().obj(this.key("version").int(),this.key("p").int(),this.key("q").int(),this.key("g").int(),this.key("pub_key").int(),this.key("priv_key").int())}));e.DSAPrivateKey=g,e.DSAparam=r.define("DSAparam",(function(){this.int()}));var c=r.define("ECPrivateKey",(function(){this.seq().obj(this.key("version").int(),this.key("privateKey").octstr(),this.key("parameters").optional().explicit(0).use(B),this.key("publicKey").optional().explicit(1).bitstr())}));e.ECPrivateKey=c;var B=r.define("ECParameters",(function(){this.choice({namedCurve:this.objid()})}));e.signature=r.define("signature",(function(){this.seq().obj(this.key("r").int(),this.key("s").int())}))},1934:(A,e,t)=>{"use strict";var r=t(9809),n=r.define("Time",(function(){this.choice({utcTime:this.utctime(),generalTime:this.gentime()})})),i=r.define("AttributeTypeValue",(function(){this.seq().obj(this.key("type").objid(),this.key("value").any())})),o=r.define("AlgorithmIdentifier",(function(){this.seq().obj(this.key("algorithm").objid(),this.key("parameters").optional(),this.key("curve").objid().optional())})),a=r.define("SubjectPublicKeyInfo",(function(){this.seq().obj(this.key("algorithm").use(o),this.key("subjectPublicKey").bitstr())})),s=r.define("RelativeDistinguishedName",(function(){this.setof(i)})),u=r.define("RDNSequence",(function(){this.seqof(s)})),g=r.define("Name",(function(){this.choice({rdnSequence:this.use(u)})})),c=r.define("Validity",(function(){this.seq().obj(this.key("notBefore").use(n),this.key("notAfter").use(n))})),B=r.define("Extension",(function(){this.seq().obj(this.key("extnID").objid(),this.key("critical").bool().def(!1),this.key("extnValue").octstr())})),l=r.define("TBSCertificate",(function(){this.seq().obj(this.key("version").explicit(0).int().optional(),this.key("serialNumber").int(),this.key("signature").use(o),this.key("issuer").use(g),this.key("validity").use(c),this.key("subject").use(g),this.key("subjectPublicKeyInfo").use(a),this.key("issuerUniqueID").implicit(1).bitstr().optional(),this.key("subjectUniqueID").implicit(2).bitstr().optional(),this.key("extensions").explicit(3).seqof(B).optional())})),Q=r.define("X509Certificate",(function(){this.seq().obj(this.key("tbsCertificate").use(l),this.key("signatureAlgorithm").use(o),this.key("signatureValue").bitstr())}));A.exports=Q},7631:(A,e,t)=>{var r=/Proc-Type: 4,ENCRYPTED[\n\r]+DEK-Info: AES-((?:128)|(?:192)|(?:256))-CBC,([0-9A-H]+)[\n\r]+([0-9A-z\n\r+/=]+)[\n\r]+/m,n=/^-----BEGIN ((?:.*? 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vA=(u+(r=r+Math.imul(c,cA)|0)|0)+((8191&(n=(n=n+Math.imul(c,BA)|0)+Math.imul(B,cA)|0))<<13)|0;u=((i=i+Math.imul(B,BA)|0)+(n>>>13)|0)+(vA>>>26)|0,vA&=67108863,r=Math.imul(k,V),n=(n=Math.imul(k,T))+Math.imul(Y,V)|0,i=Math.imul(Y,T),r=r+Math.imul(M,J)|0,n=(n=n+Math.imul(M,O)|0)+Math.imul(L,J)|0,i=i+Math.imul(L,O)|0,r=r+Math.imul(R,j)|0,n=(n=n+Math.imul(R,z)|0)+Math.imul(H,j)|0,i=i+Math.imul(H,z)|0,r=r+Math.imul(U,Z)|0,n=(n=n+Math.imul(U,W)|0)+Math.imul(S,Z)|0,i=i+Math.imul(S,W)|0,r=r+Math.imul(b,$)|0,n=(n=n+Math.imul(b,AA)|0)+Math.imul(w,$)|0,i=i+Math.imul(w,AA)|0,r=r+Math.imul(y,tA)|0,n=(n=n+Math.imul(y,rA)|0)+Math.imul(v,tA)|0,i=i+Math.imul(v,rA)|0,r=r+Math.imul(C,iA)|0,n=(n=n+Math.imul(C,oA)|0)+Math.imul(p,iA)|0,i=i+Math.imul(p,oA)|0,r=r+Math.imul(h,sA)|0,n=(n=n+Math.imul(h,uA)|0)+Math.imul(E,sA)|0,i=i+Math.imul(E,uA)|0,r=r+Math.imul(Q,cA)|0,n=(n=n+Math.imul(Q,BA)|0)+Math.imul(I,cA)|0,i=i+Math.imul(I,BA)|0;var 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bA=(u+(r=r+Math.imul(Q,QA)|0)|0)+((8191&(n=(n=n+Math.imul(Q,IA)|0)+Math.imul(I,QA)|0))<<13)|0;u=((i=i+Math.imul(I,IA)|0)+(n>>>13)|0)+(bA>>>26)|0,bA&=67108863,r=Math.imul(k,j),n=(n=Math.imul(k,z))+Math.imul(Y,j)|0,i=Math.imul(Y,z),r=r+Math.imul(M,Z)|0,n=(n=n+Math.imul(M,W)|0)+Math.imul(L,Z)|0,i=i+Math.imul(L,W)|0,r=r+Math.imul(R,$)|0,n=(n=n+Math.imul(R,AA)|0)+Math.imul(H,$)|0,i=i+Math.imul(H,AA)|0,r=r+Math.imul(U,tA)|0,n=(n=n+Math.imul(U,rA)|0)+Math.imul(S,tA)|0,i=i+Math.imul(S,rA)|0,r=r+Math.imul(b,iA)|0,n=(n=n+Math.imul(b,oA)|0)+Math.imul(w,iA)|0,i=i+Math.imul(w,oA)|0,r=r+Math.imul(y,sA)|0,n=(n=n+Math.imul(y,uA)|0)+Math.imul(v,sA)|0,i=i+Math.imul(v,uA)|0,r=r+Math.imul(C,cA)|0,n=(n=n+Math.imul(C,BA)|0)+Math.imul(p,cA)|0,i=i+Math.imul(p,BA)|0;var wA=(u+(r=r+Math.imul(h,QA)|0)|0)+((8191&(n=(n=n+Math.imul(h,IA)|0)+Math.imul(E,QA)|0))<<13)|0;u=((i=i+Math.imul(E,IA)|0)+(n>>>13)|0)+(wA>>>26)|0,wA&=67108863,r=Math.imul(k,Z),n=(n=Math.imul(k,W))+Math.imul(Y,Z)|0,i=Math.imul(Y,W),r=r+Math.imul(M,$)|0,n=(n=n+Math.imul(M,AA)|0)+Math.imul(L,$)|0,i=i+Math.imul(L,AA)|0,r=r+Math.imul(R,tA)|0,n=(n=n+Math.imul(R,rA)|0)+Math.imul(H,tA)|0,i=i+Math.imul(H,rA)|0,r=r+Math.imul(U,iA)|0,n=(n=n+Math.imul(U,oA)|0)+Math.imul(S,iA)|0,i=i+Math.imul(S,oA)|0,r=r+Math.imul(b,sA)|0,n=(n=n+Math.imul(b,uA)|0)+Math.imul(w,sA)|0,i=i+Math.imul(w,uA)|0,r=r+Math.imul(y,cA)|0,n=(n=n+Math.imul(y,BA)|0)+Math.imul(v,cA)|0,i=i+Math.imul(v,BA)|0;var FA=(u+(r=r+Math.imul(C,QA)|0)|0)+((8191&(n=(n=n+Math.imul(C,IA)|0)+Math.imul(p,QA)|0))<<13)|0;u=((i=i+Math.imul(p,IA)|0)+(n>>>13)|0)+(FA>>>26)|0,FA&=67108863,r=Math.imul(k,$),n=(n=Math.imul(k,AA))+Math.imul(Y,$)|0,i=Math.imul(Y,AA),r=r+Math.imul(M,tA)|0,n=(n=n+Math.imul(M,rA)|0)+Math.imul(L,tA)|0,i=i+Math.imul(L,rA)|0,r=r+Math.imul(R,iA)|0,n=(n=n+Math.imul(R,oA)|0)+Math.imul(H,iA)|0,i=i+Math.imul(H,oA)|0,r=r+Math.imul(U,sA)|0,n=(n=n+Math.imul(U,uA)|0)+Math.imul(S,sA)|0,i=i+Math.imul(S,uA)|0,r=r+Math.imul(b,cA)|0,n=(n=n+Math.imul(b,BA)|0)+Math.imul(w,cA)|0,i=i+Math.imul(w,BA)|0;var UA=(u+(r=r+Math.imul(y,QA)|0)|0)+((8191&(n=(n=n+Math.imul(y,IA)|0)+Math.imul(v,QA)|0))<<13)|0;u=((i=i+Math.imul(v,IA)|0)+(n>>>13)|0)+(UA>>>26)|0,UA&=67108863,r=Math.imul(k,tA),n=(n=Math.imul(k,rA))+Math.imul(Y,tA)|0,i=Math.imul(Y,rA),r=r+Math.imul(M,iA)|0,n=(n=n+Math.imul(M,oA)|0)+Math.imul(L,iA)|0,i=i+Math.imul(L,oA)|0,r=r+Math.imul(R,sA)|0,n=(n=n+Math.imul(R,uA)|0)+Math.imul(H,sA)|0,i=i+Math.imul(H,uA)|0,r=r+Math.imul(U,cA)|0,n=(n=n+Math.imul(U,BA)|0)+Math.imul(S,cA)|0,i=i+Math.imul(S,BA)|0;var SA=(u+(r=r+Math.imul(b,QA)|0)|0)+((8191&(n=(n=n+Math.imul(b,IA)|0)+Math.imul(w,QA)|0))<<13)|0;u=((i=i+Math.imul(w,IA)|0)+(n>>>13)|0)+(SA>>>26)|0,SA&=67108863,r=Math.imul(k,iA),n=(n=Math.imul(k,oA))+Math.imul(Y,iA)|0,i=Math.imul(Y,oA),r=r+Math.imul(M,sA)|0,n=(n=n+Math.imul(M,uA)|0)+Math.imul(L,sA)|0,i=i+Math.imul(L,uA)|0,r=r+Math.imul(R,cA)|0,n=(n=n+Math.imul(R,BA)|0)+Math.imul(H,cA)|0,i=i+Math.imul(H,BA)|0;var NA=(u+(r=r+Math.imul(U,QA)|0)|0)+((8191&(n=(n=n+Math.imul(U,IA)|0)+Math.imul(S,QA)|0))<<13)|0;u=((i=i+Math.imul(S,IA)|0)+(n>>>13)|0)+(NA>>>26)|0,NA&=67108863,r=Math.imul(k,sA),n=(n=Math.imul(k,uA))+Math.imul(Y,sA)|0,i=Math.imul(Y,uA),r=r+Math.imul(M,cA)|0,n=(n=n+Math.imul(M,BA)|0)+Math.imul(L,cA)|0,i=i+Math.imul(L,BA)|0;var RA=(u+(r=r+Math.imul(R,QA)|0)|0)+((8191&(n=(n=n+Math.imul(R,IA)|0)+Math.imul(H,QA)|0))<<13)|0;u=((i=i+Math.imul(H,IA)|0)+(n>>>13)|0)+(RA>>>26)|0,RA&=67108863,r=Math.imul(k,cA),n=(n=Math.imul(k,BA))+Math.imul(Y,cA)|0,i=Math.imul(Y,BA);var HA=(u+(r=r+Math.imul(M,QA)|0)|0)+((8191&(n=(n=n+Math.imul(M,IA)|0)+Math.imul(L,QA)|0))<<13)|0;u=((i=i+Math.imul(L,IA)|0)+(n>>>13)|0)+(HA>>>26)|0,HA&=67108863;var GA=(u+(r=Math.imul(k,QA))|0)+((8191&(n=(n=Math.imul(k,IA))+Math.imul(Y,QA)|0))<<13)|0;return u=((i=Math.imul(Y,IA))+(n>>>13)|0)+(GA>>>26)|0,GA&=67108863,s[0]=dA,s[1]=hA,s[2]=EA,s[3]=fA,s[4]=CA,s[5]=pA,s[6]=mA,s[7]=yA,s[8]=vA,s[9]=DA,s[10]=bA,s[11]=wA,s[12]=FA,s[13]=UA,s[14]=SA,s[15]=NA,s[16]=RA,s[17]=HA,s[18]=GA,0!==u&&(s[19]=u,t.length++),t};function I(A,e,t){return(new d).mulp(A,e,t)}function d(A,e){this.x=A,this.y=e}Math.imul||(Q=l),i.prototype.mulTo=function(A,e){var t,r=this.length+A.length;return t=10===this.length&&10===A.length?Q(this,A,e):r<63?l(this,A,e):r<1024?function(A,e,t){t.negative=e.negative^A.negative,t.length=A.length+e.length;for(var r=0,n=0,i=0;i<t.length-1;i++){var o=n;n=0;for(var a=67108863&r,s=Math.min(i,e.length-1),u=Math.max(0,i-A.length+1);u<=s;u++){var g=i-u,c=(0|A.words[g])*(0|e.words[u]),B=67108863&c;a=67108863&(B=B+a|0),n+=(o=(o=o+(c/67108864|0)|0)+(B>>>26)|0)>>>26,o&=67108863}t.words[i]=a,r=o,o=n}return 0!==r?t.words[i]=r:t.length--,t.strip()}(this,A,e):I(this,A,e),t},d.prototype.makeRBT=function(A){for(var e=new 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n=8192*Math.round(A[2*r+1]/e)+Math.round(A[2*r]/e)+t;A[r]=67108863&n,t=n<67108864?0:n/67108864|0}return A},d.prototype.convert13b=function(A,e,t,n){for(var i=0,o=0;o<e;o++)i+=0|A[o],t[2*o]=8191&i,i>>>=13,t[2*o+1]=8191&i,i>>>=13;for(o=2*e;o<n;++o)t[o]=0;r(0===i),r(0==(-8192&i))},d.prototype.stub=function(A){for(var e=new Array(A),t=0;t<A;t++)e[t]=0;return e},d.prototype.mulp=function(A,e,t){var r=2*this.guessLen13b(A.length,e.length),n=this.makeRBT(r),i=this.stub(r),o=new Array(r),a=new Array(r),s=new Array(r),u=new Array(r),g=new Array(r),c=new Array(r),B=t.words;B.length=r,this.convert13b(A.words,A.length,o,r),this.convert13b(e.words,e.length,u,r),this.transform(o,i,a,s,r,n),this.transform(u,i,g,c,r,n);for(var l=0;l<r;l++){var Q=a[l]*g[l]-s[l]*c[l];s[l]=a[l]*c[l]+s[l]*g[l],a[l]=Q}return this.conjugate(a,s,r),this.transform(a,s,B,i,r,n),this.conjugate(B,i,r),this.normalize13b(B,r),t.negative=A.negative^e.negative,t.length=A.length+e.length,t.strip()},i.prototype.mul=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),this.mulTo(A,e)},i.prototype.mulf=function(A){var e=new i(null);return e.words=new Array(this.length+A.length),I(this,A,e)},i.prototype.imul=function(A){return this.clone().mulTo(A,this)},i.prototype.imuln=function(A){r("number"==typeof A),r(A<67108864);for(var e=0,t=0;t<this.length;t++){var n=(0|this.words[t])*A,i=(67108863&n)+(67108863&e);e>>=26,e+=n/67108864|0,e+=i>>>26,this.words[t]=67108863&i}return 0!==e&&(this.words[t]=e,this.length++),this},i.prototype.muln=function(A){return this.clone().imuln(A)},i.prototype.sqr=function(){return this.mul(this)},i.prototype.isqr=function(){return this.imul(this.clone())},i.prototype.pow=function(A){var e=function(A){for(var e=new Array(A.bitLength()),t=0;t<e.length;t++){var r=t/26|0,n=t%26;e[t]=(A.words[r]&1<<n)>>>n}return e}(A);if(0===e.length)return new i(1);for(var t=this,r=0;r<e.length&&0===e[r];r++,t=t.sqr());if(++r<e.length)for(var 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c=0|this.words[u];this.words[u]=g<<26-i|c>>>i,g=c&a}return s&&0!==g&&(s.words[s.length++]=g),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},i.prototype.ishrn=function(A,e,t){return r(0===this.negative),this.iushrn(A,e,t)},i.prototype.shln=function(A){return this.clone().ishln(A)},i.prototype.ushln=function(A){return this.clone().iushln(A)},i.prototype.shrn=function(A){return this.clone().ishrn(A)},i.prototype.ushrn=function(A){return this.clone().iushrn(A)},i.prototype.testn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26,n=1<<e;return!(this.length<=t||!(this.words[t]&n))},i.prototype.imaskn=function(A){r("number"==typeof A&&A>=0);var e=A%26,t=(A-e)/26;if(r(0===this.negative,"imaskn works only with positive numbers"),this.length<=t)return this;if(0!==e&&t++,this.length=Math.min(t,this.length),0!==e){var n=67108863^67108863>>>e<<e;this.words[this.length-1]&=n}return this.strip()},i.prototype.maskn=function(A){return this.clone().imaskn(A)},i.prototype.iaddn=function(A){return r("number"==typeof A),r(A<67108864),A<0?this.isubn(-A):0!==this.negative?1===this.length&&(0|this.words[0])<A?(this.words[0]=A-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(A),this.negative=1,this):this._iaddn(A)},i.prototype._iaddn=function(A){this.words[0]+=A;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},i.prototype.isubn=function(A){if(r("number"==typeof A),r(A<67108864),A<0)return this.iaddn(-A);if(0!==this.negative)return this.negative=0,this.iaddn(A),this.negative=1,this;if(this.words[0]-=A,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},i.prototype.addn=function(A){return this.clone().iaddn(A)},i.prototype.subn=function(A){return this.clone().isubn(A)},i.prototype.iabs=function(){return this.negative=0,this},i.prototype.abs=function(){return this.clone().iabs()},i.prototype._ishlnsubmul=function(A,e,t){var n,i,o=A.length+t;this._expand(o);var a=0;for(n=0;n<A.length;n++){i=(0|this.words[n+t])+a;var s=(0|A.words[n])*e;a=((i-=67108863&s)>>26)-(s/67108864|0),this.words[n+t]=67108863&i}for(;n<this.length-t;n++)a=(i=(0|this.words[n+t])+a)>>26,this.words[n+t]=67108863&i;if(0===a)return this.strip();for(r(-1===a),a=0,n=0;n<this.length;n++)a=(i=-(0|this.words[n])+a)>>26,this.words[n]=67108863&i;return this.negative=1,this.strip()},i.prototype._wordDiv=function(A,e){var t=(this.length,A.length),r=this.clone(),n=A,o=0|n.words[n.length-1];0!=(t=26-this._countBits(o))&&(n=n.ushln(t),r.iushln(t),o=0|n.words[n.length-1]);var a,s=r.length-n.length;if("mod"!==e){(a=new i(null)).length=s+1,a.words=new Array(a.length);for(var u=0;u<a.length;u++)a.words[u]=0}var g=r.clone()._ishlnsubmul(n,1,s);0===g.negative&&(r=g,a&&(a.words[s]=1));for(var c=s-1;c>=0;c--){var B=67108864*(0|r.words[n.length+c])+(0|r.words[n.length+c-1]);for(B=Math.min(B/o|0,67108863),r._ishlnsubmul(n,B,c);0!==r.negative;)B--,r.negative=0,r._ishlnsubmul(n,1,c),r.isZero()||(r.negative^=1);a&&(a.words[c]=B)}return a&&a.strip(),r.strip(),"div"!==e&&0!==t&&r.iushrn(t),{div:a||null,mod:r}},i.prototype.divmod=function(A,e,t){return r(!A.isZero()),this.isZero()?{div:new i(0),mod:new i(0)}:0!==this.negative&&0===A.negative?(a=this.neg().divmod(A,e),"mod"!==e&&(n=a.div.neg()),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.iadd(A)),{div:n,mod:o}):0===this.negative&&0!==A.negative?(a=this.divmod(A.neg(),e),"mod"!==e&&(n=a.div.neg()),{div:n,mod:a.mod}):0!=(this.negative&A.negative)?(a=this.neg().divmod(A.neg(),e),"div"!==e&&(o=a.mod.neg(),t&&0!==o.negative&&o.isub(A)),{div:a.div,mod:o}):A.length>this.length||this.cmp(A)<0?{div:new i(0),mod:this}:1===A.length?"div"===e?{div:this.divn(A.words[0]),mod:null}:"mod"===e?{div:null,mod:new i(this.modn(A.words[0]))}:{div:this.divn(A.words[0]),mod:new i(this.modn(A.words[0]))}:this._wordDiv(A,e);var n,o,a},i.prototype.div=function(A){return this.divmod(A,"div",!1).div},i.prototype.mod=function(A){return this.divmod(A,"mod",!1).mod},i.prototype.umod=function(A){return this.divmod(A,"mod",!0).mod},i.prototype.divRound=function(A){var e=this.divmod(A);if(e.mod.isZero())return e.div;var t=0!==e.div.negative?e.mod.isub(A):e.mod,r=A.ushrn(1),n=A.andln(1),i=t.cmp(r);return i<0||1===n&&0===i?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},i.prototype.modn=function(A){r(A<=67108863);for(var e=(1<<26)%A,t=0,n=this.length-1;n>=0;n--)t=(e*t+(0|this.words[n]))%A;return t},i.prototype.idivn=function(A){r(A<=67108863);for(var e=0,t=this.length-1;t>=0;t--){var n=(0|this.words[t])+67108864*e;this.words[t]=n/A|0,e=n%A}return this.strip()},i.prototype.divn=function(A){return this.clone().idivn(A)},i.prototype.egcd=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n=new i(1),o=new i(0),a=new i(0),s=new i(1),u=0;e.isEven()&&t.isEven();)e.iushrn(1),t.iushrn(1),++u;for(var g=t.clone(),c=e.clone();!e.isZero();){for(var B=0,l=1;0==(e.words[0]&l)&&B<26;++B,l<<=1);if(B>0)for(e.iushrn(B);B-- >0;)(n.isOdd()||o.isOdd())&&(n.iadd(g),o.isub(c)),n.iushrn(1),o.iushrn(1);for(var Q=0,I=1;0==(t.words[0]&I)&&Q<26;++Q,I<<=1);if(Q>0)for(t.iushrn(Q);Q-- >0;)(a.isOdd()||s.isOdd())&&(a.iadd(g),s.isub(c)),a.iushrn(1),s.iushrn(1);e.cmp(t)>=0?(e.isub(t),n.isub(a),o.isub(s)):(t.isub(e),a.isub(n),s.isub(o))}return{a,b:s,gcd:t.iushln(u)}},i.prototype._invmp=function(A){r(0===A.negative),r(!A.isZero());var e=this,t=A.clone();e=0!==e.negative?e.umod(A):e.clone();for(var n,o=new i(1),a=new i(0),s=t.clone();e.cmpn(1)>0&&t.cmpn(1)>0;){for(var u=0,g=1;0==(e.words[0]&g)&&u<26;++u,g<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(s),o.iushrn(1);for(var c=0,B=1;0==(t.words[0]&B)&&c<26;++c,B<<=1);if(c>0)for(t.iushrn(c);c-- >0;)a.isOdd()&&a.iadd(s),a.iushrn(1);e.cmp(t)>=0?(e.isub(t),o.isub(a)):(t.isub(e),a.isub(o))}return(n=0===e.cmpn(1)?o:a).cmpn(0)<0&&n.iadd(A),n},i.prototype.gcd=function(A){if(this.isZero())return A.abs();if(A.isZero())return this.abs();var e=this.clone(),t=A.clone();e.negative=0,t.negative=0;for(var r=0;e.isEven()&&t.isEven();r++)e.iushrn(1),t.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;t.isEven();)t.iushrn(1);var n=e.cmp(t);if(n<0){var i=e;e=t,t=i}else if(0===n||0===t.cmpn(1))break;e.isub(t)}return t.iushln(r)},i.prototype.invm=function(A){return this.egcd(A).a.umod(A)},i.prototype.isEven=function(){return 0==(1&this.words[0])},i.prototype.isOdd=function(){return 1==(1&this.words[0])},i.prototype.andln=function(A){return this.words[0]&A},i.prototype.bincn=function(A){r("number"==typeof A);var e=A%26,t=(A-e)/26,n=1<<e;if(this.length<=t)return this._expand(t+1),this.words[t]|=n,this;for(var i=n,o=t;0!==i&&o<this.length;o++){var a=0|this.words[o];i=(a+=i)>>>26,a&=67108863,this.words[o]=a}return 0!==i&&(this.words[o]=i,this.length++),this},i.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},i.prototype.cmpn=function(A){var e,t=A<0;if(0!==this.negative&&!t)return-1;if(0===this.negative&&t)return 1;if(this.strip(),this.length>1)e=1;else{t&&(A=-A),r(A<=67108863,"Number is too big");var n=0|this.words[0];e=n===A?0:n<A?-1:1}return 0!==this.negative?0|-e:e},i.prototype.cmp=function(A){if(0!==this.negative&&0===A.negative)return-1;if(0===this.negative&&0!==A.negative)return 1;var e=this.ucmp(A);return 0!==this.negative?0|-e:e},i.prototype.ucmp=function(A){if(this.length>A.length)return 1;if(this.length<A.length)return-1;for(var e=0,t=this.length-1;t>=0;t--){var r=0|this.words[t],n=0|A.words[t];if(r!==n){r<n?e=-1:r>n&&(e=1);break}}return e},i.prototype.gtn=function(A){return 1===this.cmpn(A)},i.prototype.gt=function(A){return 1===this.cmp(A)},i.prototype.gten=function(A){return this.cmpn(A)>=0},i.prototype.gte=function(A){return this.cmp(A)>=0},i.prototype.ltn=function(A){return-1===this.cmpn(A)},i.prototype.lt=function(A){return-1===this.cmp(A)},i.prototype.lten=function(A){return this.cmpn(A)<=0},i.prototype.lte=function(A){return this.cmp(A)<=0},i.prototype.eqn=function(A){return 0===this.cmpn(A)},i.prototype.eq=function(A){return 0===this.cmp(A)},i.red=function(A){return new y(A)},i.prototype.toRed=function(A){return r(!this.red,"Already a number in reduction context"),r(0===this.negative,"red works only with positives"),A.convertTo(this)._forceRed(A)},i.prototype.fromRed=function(){return r(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},i.prototype._forceRed=function(A){return this.red=A,this},i.prototype.forceRed=function(A){return r(!this.red,"Already a number in reduction context"),this._forceRed(A)},i.prototype.redAdd=function(A){return r(this.red,"redAdd works only with red numbers"),this.red.add(this,A)},i.prototype.redIAdd=function(A){return r(this.red,"redIAdd works only with red numbers"),this.red.iadd(this,A)},i.prototype.redSub=function(A){return r(this.red,"redSub works only with red numbers"),this.red.sub(this,A)},i.prototype.redISub=function(A){return r(this.red,"redISub works only with red numbers"),this.red.isub(this,A)},i.prototype.redShl=function(A){return r(this.red,"redShl works only with red numbers"),this.red.shl(this,A)},i.prototype.redMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.mul(this,A)},i.prototype.redIMul=function(A){return r(this.red,"redMul works only with red numbers"),this.red._verify2(this,A),this.red.imul(this,A)},i.prototype.redSqr=function(){return r(this.red,"redSqr works only with red numbers"),this.red._verify1(this),this.red.sqr(this)},i.prototype.redISqr=function(){return r(this.red,"redISqr works only with red numbers"),this.red._verify1(this),this.red.isqr(this)},i.prototype.redSqrt=function(){return r(this.red,"redSqrt works only with red numbers"),this.red._verify1(this),this.red.sqrt(this)},i.prototype.redInvm=function(){return r(this.red,"redInvm works only with red numbers"),this.red._verify1(this),this.red.invm(this)},i.prototype.redNeg=function(){return r(this.red,"redNeg works only with red numbers"),this.red._verify1(this),this.red.neg(this)},i.prototype.redPow=function(A){return r(this.red&&!A.red,"redPow(normalNum)"),this.red._verify1(this),this.red.pow(this,A)};var h={k256:null,p224:null,p192:null,p25519:null};function E(A,e){this.name=A,this.p=new i(e,16),this.n=this.p.bitLength(),this.k=new i(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function f(){E.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function C(){E.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function p(){E.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function m(){E.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function y(A){if("string"==typeof A){var e=i._prime(A);this.m=e.p,this.prime=e}else r(A.gtn(1),"modulus must be greater than 1"),this.m=A,this.prime=null}function v(A){y.call(this,A),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new i(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}E.prototype._tmp=function(){var A=new i(null);return A.words=new Array(Math.ceil(this.n/13)),A},E.prototype.ireduce=function(A){var e,t=A;do{this.split(t,this.tmp),e=(t=(t=this.imulK(t)).iadd(this.tmp)).bitLength()}while(e>this.n);var r=e<this.n?-1:t.ucmp(this.p);return 0===r?(t.words[0]=0,t.length=1):r>0?t.isub(this.p):void 0!==t.strip?t.strip():t._strip(),t},E.prototype.split=function(A,e){A.iushrn(this.n,0,e)},E.prototype.imulK=function(A){return A.imul(this.k)},n(f,E),f.prototype.split=function(A,e){for(var t=4194303,r=Math.min(A.length,9),n=0;n<r;n++)e.words[n]=A.words[n];if(e.length=r,A.length<=9)return A.words[0]=0,void(A.length=1);var i=A.words[9];for(e.words[e.length++]=i&t,n=10;n<A.length;n++){var o=0|A.words[n];A.words[n-10]=(o&t)<<4|i>>>22,i=o}i>>>=22,A.words[n-10]=i,0===i&&A.length>10?A.length-=10:A.length-=9},f.prototype.imulK=function(A){A.words[A.length]=0,A.words[A.length+1]=0,A.length+=2;for(var e=0,t=0;t<A.length;t++){var r=0|A.words[t];e+=977*r,A.words[t]=67108863&e,e=64*r+(e/67108864|0)}return 0===A.words[A.length-1]&&(A.length--,0===A.words[A.length-1]&&A.length--),A},n(C,E),n(p,E),n(m,E),m.prototype.imulK=function(A){for(var e=0,t=0;t<A.length;t++){var r=19*(0|A.words[t])+e,n=67108863&r;r>>>=26,A.words[t]=n,e=r}return 0!==e&&(A.words[A.length++]=e),A},i._prime=function(A){if(h[A])return h[A];var e;if("k256"===A)e=new f;else if("p224"===A)e=new C;else if("p192"===A)e=new p;else{if("p25519"!==A)throw new Error("Unknown prime "+A);e=new m}return h[A]=e,e},y.prototype._verify1=function(A){r(0===A.negative,"red works only with positives"),r(A.red,"red works only with red numbers")},y.prototype._verify2=function(A,e){r(0==(A.negative|e.negative),"red works only with positives"),r(A.red&&A.red===e.red,"red works only with red numbers")},y.prototype.imod=function(A){return this.prime?this.prime.ireduce(A)._forceRed(this):A.umod(this.m)._forceRed(this)},y.prototype.neg=function(A){return A.isZero()?A.clone():this.m.sub(A)._forceRed(this)},y.prototype.add=function(A,e){this._verify2(A,e);var t=A.add(e);return t.cmp(this.m)>=0&&t.isub(this.m),t._forceRed(this)},y.prototype.iadd=function(A,e){this._verify2(A,e);var t=A.iadd(e);return t.cmp(this.m)>=0&&t.isub(this.m),t},y.prototype.sub=function(A,e){this._verify2(A,e);var t=A.sub(e);return t.cmpn(0)<0&&t.iadd(this.m),t._forceRed(this)},y.prototype.isub=function(A,e){this._verify2(A,e);var t=A.isub(e);return t.cmpn(0)<0&&t.iadd(this.m),t},y.prototype.shl=function(A,e){return this._verify1(A),this.imod(A.ushln(e))},y.prototype.imul=function(A,e){return this._verify2(A,e),this.imod(A.imul(e))},y.prototype.mul=function(A,e){return this._verify2(A,e),this.imod(A.mul(e))},y.prototype.isqr=function(A){return this.imul(A,A.clone())},y.prototype.sqr=function(A){return this.mul(A,A)},y.prototype.sqrt=function(A){if(A.isZero())return A.clone();var e=this.m.andln(3);if(r(e%2==1),3===e){var t=this.m.add(new i(1)).iushrn(2);return this.pow(A,t)}for(var n=this.m.subn(1),o=0;!n.isZero()&&0===n.andln(1);)o++,n.iushrn(1);r(!n.isZero());var a=new i(1).toRed(this),s=a.redNeg(),u=this.m.subn(1).iushrn(1),g=this.m.bitLength();for(g=new i(2*g*g).toRed(this);0!==this.pow(g,u).cmp(s);)g.redIAdd(s);for(var c=this.pow(g,n),B=this.pow(A,n.addn(1).iushrn(1)),l=this.pow(A,n),Q=o;0!==l.cmp(a);){for(var I=l,d=0;0!==I.cmp(a);d++)I=I.redSqr();r(d<Q);var h=this.pow(c,new i(1).iushln(Q-d-1));B=B.redMul(h),c=h.redSqr(),l=l.redMul(c),Q=d}return B},y.prototype.invm=function(A){var e=A._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},y.prototype.pow=function(A,e){if(e.isZero())return new i(1).toRed(this);if(0===e.cmpn(1))return A.clone();var t=new Array(16);t[0]=new i(1).toRed(this),t[1]=A;for(var r=2;r<t.length;r++)t[r]=this.mul(t[r-1],A);var n=t[0],o=0,a=0,s=e.bitLength()%26;for(0===s&&(s=26),r=e.length-1;r>=0;r--){for(var u=e.words[r],g=s-1;g>=0;g--){var c=u>>g&1;n!==t[0]&&(n=this.sqr(n)),0!==c||0!==o?(o<<=1,o|=c,(4==++a||0===r&&0===g)&&(n=this.mul(n,t[o]),a=0,o=0)):a=0}s=26}return n},y.prototype.convertTo=function(A){var e=A.umod(this.m);return e===A?e.clone():e},y.prototype.convertFrom=function(A){var e=A.clone();return e.red=null,e},i.mont=function(A){return new v(A)},n(v,y),v.prototype.convertTo=function(A){return this.imod(A.ushln(this.shift))},v.prototype.convertFrom=function(A){var e=this.imod(A.mul(this.rinv));return e.red=null,e},v.prototype.imul=function(A,e){if(A.isZero()||e.isZero())return A.words[0]=0,A.length=1,A;var t=A.imul(e),r=t.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),n=t.isub(r).iushrn(this.shift),i=n;return n.cmp(this.m)>=0?i=n.isub(this.m):n.cmpn(0)<0&&(i=n.iadd(this.m)),i._forceRed(this)},v.prototype.mul=function(A,e){if(A.isZero()||e.isZero())return new i(0)._forceRed(this);var 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3rd.")},math:{"@header":"Math",add:xc(Ec.Num),sub:xc(Ec.Num),mult:xc(Ec.Num),div:kc(Ec.Num,Ec.Num),pow:kc(Ec.Num,Ec.Num),mod:kc(Ec.Num,Ec.Num),min:xc(Ec.Num),max:xc(Ec.Num),floor:Lc(Ec.Num),ceil:Lc(Ec.Num),roundInt:Lc(Ec.Num),abs:Lc(Ec.Num),sqrt:Lc(Ec.Num),cbrt:Lc(Ec.Num),sin:Lc(Ec.Num),cos:Lc(Ec.Num),tan:Lc(Ec.Num),asin:Lc(Ec.Num),acos:Lc(Ec.Num),atan:Lc(Ec.Num),sinh:Lc(Ec.Num),cosh:Lc(Ec.Num),tanh:Lc(Ec.Num),exp:Lc(Ec.Num),log:Lc(Ec.Num),log10:Lc(Ec.Num),atan2:kc(Ec.Num,Ec.Num)},str:{"@header":"Strings",concat:xc(Ec.Str),match:Sc(Cc.Dictionary({0:bc(pc.Regex),1:bc(Ec.Str)}),Ec.Bool)},list:{"@header":"Lists",getAt:Sc(Cc.Dictionary({0:bc(pc.List()),1:bc(Ec.Num)}),pc.AnyVar),equal:Sc(Cc.Dictionary({0:bc(pc.List()),1:bc(pc.List())}),Ec.Bool)},set:{"@header":"Sets",has:Sc(Cc.Dictionary({0:bc(pc.Set(pc.ConstrainedVar)),1:bc(pc.ConstrainedVar)}),Ec.Bool,"Check if the the 1st argument includes the value of the 2nd."),isSubset:Sc(Cc.Dictionary({0:bc(pc.Set(pc.ConstrainedVar)),1:bc(pc.Set(pc.ConstrainedVar))}),Ec.Bool,"Check if the the 1st argument is a subset of the 2nd.")},flags:{"@header":"Flags",hasAny:Sc(Cc.Dictionary({0:bc(pc.Flags(pc.ConstrainedVar)),1:bc(pc.Flags(pc.ConstrainedVar))}),Ec.Bool,"Check if the the 1st argument has at least one of the 2nd one's flags."),hasAll:Sc(Cc.Dictionary({0:bc(pc.Flags(pc.ConstrainedVar)),1:bc(pc.Flags(pc.ConstrainedVar))}),Ec.Bool,"Check if the the 1st argument has all 2nd one's flags.")}};Nc(Yc);var _c,Vc=Rc(Yc);function Tc(A,e){return Sc(Cc.Dictionary({0:bc(_c.ElementReference,{isOptional:!0,defaultValue:"slot.current-atom"})}),A,e)}function Pc(A,e){return Sc(Cc.None,A,e)}!function(){for(var A=Object.create(null),e=0,t=Vc;e<t.length;e++){var r=t[e];A[r.id]=r}}(),function(A){A.ElementSymbol=Ec.Value("Structure","ElementSymbol"),A.AtomName=Ec.Value("Structure","AtomName"),A.BondFlag=Ec.OneOf("Structure","BondFlag",Ec.Str,["covalent","metallic","ion","hydrogen","sulfide","computed","aromatic"]),A.BondFlags=pc.Flags(A.BondFlag,"BondFlags"),A.SecondaryStructureFlag=Ec.OneOf("Structure","SecondaryStructureFlag",Ec.Str,["alpha","beta","3-10","pi","sheet","strand","helix","turn","none"]),A.SecondaryStructureFlags=pc.Flags(A.SecondaryStructureFlag,"SecondaryStructureFlag"),A.RingFingerprint=Ec.Value("Structure","RingFingerprint"),A.EntityType=Ec.OneOf("Structure","EntityType",Ec.Str,["polymer","non-polymer","water","branched"]),A.EntitySubtype=Ec.OneOf("Structure","EntitySubtype",Ec.Str,["other","polypeptide(D)","polypeptide(L)","polydeoxyribonucleotide","polyribonucleotide","polydeoxyribonucleotide/polyribonucleotide hybrid","cyclic-pseudo-peptide","peptide nucleic acid","oligosaccharide"]),A.ObjectPrimitive=Ec.OneOf("Structure","ObjectPrimitive",Ec.Str,["atomistic","sphere","gaussian","other"]),A.ResidueId=Ec.Value("Structure","ResidueId"),A.ElementSet=Ec.Value("Structure","ElementSet"),A.ElementSelection=Ec.Value("Structure","ElementSelection"),A.ElementReference=Ec.Value("Structure","ElementReference"),A.ElementSelectionQuery=pc.Fn(A.ElementSelection,"ElementSelectionQuery")}(_c||(_c={}));var Jc={core:Yc,structureQuery:{"@header":"Structure Queries",type:{"@header":"Types",elementSymbol:Sc(Cc.Dictionary({0:bc(Ec.Str)}),_c.ElementSymbol,"Create element symbol representation from a string value."),atomName:Sc(Cc.Dictionary({0:bc(Ec.AnyValue)}),_c.AtomName,"Convert a value to an atom name."),entityType:Sc(Cc.Dictionary({0:bc(_c.EntityType)}),_c.EntityType,"Create normalized representation of entity type: ".concat(Ec.oneOfValues(_c.EntityType).join(", "),".")),bondFlags:Sc(Cc.List(_c.BondFlag),_c.BondFlags,"Create bond flags representation from a list of strings. Allowed flags: ".concat(Ec.oneOfValues(_c.BondFlag).join(", "),".")),ringFingerprint:Sc(Cc.List(_c.ElementSymbol,{nonEmpty:!0}),_c.RingFingerprint,"Create ring fingerprint from the supplied atom element list."),secondaryStructureFlags:Sc(Cc.List(_c.SecondaryStructureFlag),_c.SecondaryStructureFlags,"Create secondary structure flags representation from a list of strings. Allowed flags: ".concat(Ec.oneOfValues(_c.SecondaryStructureFlag).join(", "),".")),authResidueId:Sc(Cc.Dictionary({0:bc(Ec.Str,{description:"auth_asym_id"}),1:bc(Ec.Num,{description:"auth_seq_id"}),2:bc(Ec.Str,{description:"pdbx_PDB_ins_code",isOptional:!0})}),_c.ResidueId,'Residue identifier based on "auth_" annotation.'),labelResidueId:Sc(Cc.Dictionary({0:bc(Ec.Str,{description:"label_entity_id"}),1:bc(Ec.Str,{description:"label_asym_id"}),2:bc(Ec.Num,{description:"label_seq_id"}),3:bc(Ec.Str,{description:"pdbx_PDB_ins_code",isOptional:!0})}),_c.ResidueId,'Residue identifier based on mmCIF\'s "label_" annotation.')},slot:{"@header":"Iteration Slots",element:Sc(Cc.None,_c.ElementReference,"A reference to the current element."),elementSetReduce:Sc(Cc.None,Ec.Variable("a",Ec.AnyValue,!0),"Current value of the element set reducer.")},generator:{"@header":"Generators",all:Sc(Cc.None,_c.ElementSelectionQuery,"The entire structure."),atomGroups:Sc(Cc.Dictionary({"entity-test":bc(Ec.Bool,{isOptional:!0,defaultValue:!0,description:"Test for the 1st atom of every entity"}),"chain-test":bc(Ec.Bool,{isOptional:!0,defaultValue:!0,description:"Test for the 1st atom of every chain"}),"residue-test":bc(Ec.Bool,{isOptional:!0,defaultValue:!0,description:"Test for the 1st atom every residue"}),"atom-test":bc(Ec.Bool,{isOptional:!0,defaultValue:!0}),"group-by":bc(Ec.Any,{isOptional:!0,defaultValue:"atom-key",description:"Group atoms to sets based on this property. Default: each atom has its own set"})}),_c.ElementSelectionQuery,"Return all atoms for which the tests are satisfied, grouped into sets."),bondedAtomicPairs:Sc(Cc.Dictionary({0:bc(Ec.Bool,{isOptional:!0,defaultValue:"true for covalent bonds",description:"Test each bond with this predicate. Each bond is visited twice with swapped atom order."})}),_c.ElementSelectionQuery,"Return all pairs of atoms for which the test is satisfied."),rings:Sc(Cc.Dictionary({fingerprint:bc(_c.RingFingerprint,{isOptional:!0}),"only-aromatic":bc(Ec.Bool,{isOptional:!0,defaultValue:!1})}),_c.ElementSelectionQuery,"Return all rings or those with the specified fingerprint and/or only aromatic rings."),queryInSelection:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),query:bc(_c.ElementSelectionQuery),"in-complement":bc(Ec.Bool,{isOptional:!0,defaultValue:!1})}),_c.ElementSelectionQuery,"Executes query only on atoms that are in the source selection."),empty:Sc(Cc.None,_c.ElementSelectionQuery,"Nada.")},modifier:{"@header":"Selection Modifications",queryEach:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),query:bc(_c.ElementSelectionQuery)}),_c.ElementSelectionQuery,"Query every atom set in the input selection separately."),intersectBy:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),by:bc(_c.ElementSelectionQuery)}),_c.ElementSelectionQuery,"Intersect each atom set from the first sequence from atoms in the second one."),exceptBy:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),by:bc(_c.ElementSelectionQuery)}),_c.ElementSelectionQuery,"Remove all atoms from 'selection' that occur in 'by'."),unionBy:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),by:bc(_c.ElementSelectionQuery)}),_c.ElementSelectionQuery,"For each atom set A in the orginal sequence, combine all atoms sets in the target selection that intersect with A."),union:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery)}),_c.ElementSelectionQuery,"Collects all atom sets in the sequence into a single atom set."),cluster:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),"min-distance":bc(Ec.Num,{isOptional:!0,defaultValue:0}),"max-distance":bc(Ec.Num),"min-size":bc(Ec.Num,{description:"Minimal number of sets to merge, must be at least 2",isOptional:!0,defaultValue:2}),"max-size":bc(Ec.Num,{description:"Maximal number of sets to merge, if not set, no limit",isOptional:!0})}),_c.ElementSelectionQuery,"Combines atom sets that have mutual distance in the interval [min-radius, max-radius]. Minimum/maximum size determines how many atom sets can be combined."),includeSurroundings:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),radius:bc(Ec.Num),"atom-radius":bc(Ec.Num,{isOptional:!0,defaultValue:0,description:"Value added to each atom before the distance check, for example VDW radius. Using this argument is computationally demanding."}),"as-whole-residues":bc(Ec.Bool,{isOptional:!0})}),_c.ElementSelectionQuery,"For each atom set in the selection, include all surrouding atoms/residues that are within the specified radius."),surroundingLigands:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),radius:bc(Ec.Num),"include-water":bc(Ec.Bool,{isOptional:!0,defaultValue:!0})}),_c.ElementSelectionQuery,"Find all ligands components around the source query."),includeConnected:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),"bond-test":bc(Ec.Bool,{isOptional:!0,defaultValue:"true for covalent bonds"}),"layer-count":bc(Ec.Num,{isOptional:!0,defaultValue:1,description:"Number of bonded layers to include."}),"fixed-point":bc(Ec.Bool,{isOptional:!0,defaultValue:!1,description:"Continue adding layers as long as new connections exist."}),"as-whole-residues":bc(Ec.Bool,{isOptional:!0})}),_c.ElementSelectionQuery,"Pick all atom sets that are connected to the target."),wholeResidues:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery)}),_c.ElementSelectionQuery,"Expand the selection to whole residues."),expandProperty:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),property:bc(Ec.AnyValue)}),_c.ElementSelectionQuery,"To each atom set in the selection, add all atoms that have the same property value that was already present in the set.")},filter:{"@header":"Selection Filters",pick:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),test:bc(Ec.Bool)}),_c.ElementSelectionQuery,"Pick all atom sets that satisfy the test."),first:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery)}),_c.ElementSelectionQuery,"Take the 1st atom set in the sequence."),withSameAtomProperties:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),source:bc(_c.ElementSelectionQuery),property:bc(Ec.Any)}),_c.ElementSelectionQuery,"Pick all atom sets for which the set of given atom properties is a subset of the source properties."),intersectedBy:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),by:bc(_c.ElementSelectionQuery)}),_c.ElementSelectionQuery,"Pick all atom sets that have non-zero intersection with the target."),within:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),target:bc(_c.ElementSelectionQuery),"min-radius":bc(Ec.Num,{isOptional:!0,defaultValue:0}),"max-radius":bc(Ec.Num),"atom-radius":bc(Ec.Num,{isOptional:!0,defaultValue:0,description:"Value added to each atom before the distance check, for example VDW radius. Using this argument is computationally demanding."}),invert:bc(Ec.Bool,{isOptional:!0,defaultValue:!1,description:"If true, pick only atom sets that are further than the specified radius."})}),_c.ElementSelectionQuery,"Pick all atom sets from selection that have any atom within the radius of any atom from target."),isConnectedTo:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery),target:bc(_c.ElementSelectionQuery),"bond-test":bc(Ec.Bool,{isOptional:!0,defaultValue:"true for covalent bonds"}),disjunct:bc(Ec.Bool,{isOptional:!0,defaultValue:!0,description:"If true, there must exist a bond to an atom that lies outside the given atom set to pass test."}),invert:bc(Ec.Bool,{isOptional:!0,defaultValue:!1,description:"If true, return atom sets that are not connected."})}),_c.ElementSelectionQuery,"Pick all atom sets that are connected to the target.")},combinator:{"@header":"Selection Combinators",intersect:Sc(Cc.List(_c.ElementSelectionQuery),_c.ElementSelectionQuery,"Return all unique atom sets that appear in all of the source selections."),merge:Sc(Cc.List(_c.ElementSelectionQuery),_c.ElementSelectionQuery,"Merges multiple selections into a single one. Only unique atom sets are kept."),distanceCluster:Sc(Cc.Dictionary({matrix:bc(pc.List(pc.List(Ec.Num)),{description:"Distance matrix, represented as list of rows (num[][])). Lower triangle is min distance, upper triangle is max distance."}),selections:bc(pc.List(_c.ElementSelectionQuery),{description:"A list of held selections."})}),_c.ElementSelectionQuery,"Pick combinations of atom sets from the source sequences that are mutually within distances specified by a matrix.")},atomSet:{"@header":"Atom Sets",atomCount:Sc(Cc.None,Ec.Num),countQuery:Sc(Cc.Dictionary({0:bc(_c.ElementSelectionQuery)}),Ec.Num,"Counts the number of occurences of a specific query inside the current atom set."),reduce:Sc(Cc.Dictionary({initial:bc(Ec.Variable("a",Ec.AnyValue,!0),{description:"Initial value assigned to slot.atom-set-reduce. Current atom is set to the 1st atom of the current set for this."}),value:bc(Ec.Variable("a",Ec.AnyValue,!0),{description:"Expression executed for each atom in the set"})}),Ec.Variable("a",Ec.AnyValue,!0),"Execute the value expression for each atom in the current atom set and return the result. Works the same way as Array.reduce in JavaScript (``result = value(value(...value(initial)))``)"),propertySet:Sc(Cc.Dictionary({0:bc(pc.ConstrainedVar)}),pc.Set(pc.ConstrainedVar),"Returns a set with all values of the given property in the current atom set.")},atomProperty:{"@header":"Atom Properties",core:{"@header":"Core Properties",elementSymbol:Tc(_c.ElementSymbol),vdw:Tc(Ec.Num,"Van der Waals radius"),mass:Tc(Ec.Num,"Atomic weight"),atomicNumber:Tc(Ec.Num,"Atomic number"),x:Tc(Ec.Num,"Cartesian X coordinate"),y:Tc(Ec.Num,"Cartesian Y coordinate"),z:Tc(Ec.Num,"Cartesian Z coordinate"),atomKey:Tc(Ec.AnyValue,"Unique value for each atom. Main use case is grouping of atoms."),bondCount:Sc(Cc.Dictionary({0:bc(_c.ElementReference,{isOptional:!0,defaultValue:"slot.current-atom"}),flags:bc(_c.BondFlags,{isOptional:!0,defaultValue:"covalent"})}),Ec.Num,"Number of bonds (by default only covalent bonds are counted)."),sourceIndex:Tc(Ec.Num,"Index of the atom/element in the input file."),operatorName:Tc(Ec.Str,"Name of the symmetry operator applied to this element."),modelIndex:Tc(Ec.Num,"Index of the model in the input file."),modelLabel:Tc(Ec.Str,"Label/header of the model in the input file.")},topology:{connectedComponentKey:Tc(Ec.AnyValue,"Unique value for each connected component.")},macromolecular:{"@header":"Macromolecular Properties (derived from the mmCIF format)",authResidueId:Tc(_c.ResidueId,"type.auth-residue-id symbol executed on current atom's residue"),labelResidueId:Tc(_c.ResidueId,"type.label-residue-id symbol executed on current atom's residue"),residueKey:Tc(Ec.AnyValue,"Unique value for each tuple ``(label_entity_id,auth_asym_id, auth_seq_id, pdbx_PDB_ins_code)``, main use case is grouping of atoms"),chainKey:Tc(Ec.AnyValue,"Unique value for each tuple ``(label_entity_id, auth_asym_id)``, main use case is grouping of atoms"),entityKey:Tc(Ec.AnyValue,"Unique value for each tuple ``label_entity_id``, main use case is grouping of atoms"),isHet:Tc(Ec.Bool,"Equivalent to atom_site.group_PDB !== ATOM"),id:Tc(Ec.Num,"_atom_site.id"),label_atom_id:Tc(_c.AtomName),label_alt_id:Tc(Ec.Str),label_comp_id:Tc(Ec.Str),label_asym_id:Tc(Ec.Str),label_entity_id:Tc(Ec.Str),label_seq_id:Tc(Ec.Num),auth_atom_id:Tc(_c.AtomName),auth_comp_id:Tc(Ec.Str),auth_asym_id:Tc(Ec.Str),auth_seq_id:Tc(Ec.Num),pdbx_PDB_ins_code:Tc(Ec.Str),pdbx_formal_charge:Tc(Ec.Num),occupancy:Tc(Ec.Num),B_iso_or_equiv:Tc(Ec.Num),entityType:Tc(_c.EntityType,"Type of the entity as defined in mmCIF (polymer, non-polymer, branched, water)"),entitySubtype:Tc(_c.EntitySubtype,"Subtype of the entity as defined in mmCIF _entity_poly.type and _pdbx_entity_branch.type (other, polypeptide(D), polypeptide(L), polydeoxyribonucleotide, polyribonucleotide, polydeoxyribonucleotide/polyribonucleotide hybrid, cyclic-pseudo-peptide, peptide nucleic acid, oligosaccharide)"),entityPrdId:Tc(Ec.Str,"The PRD ID of the entity."),entityDescription:Tc(pc.List(Ec.Str)),objectPrimitive:Tc(_c.ObjectPrimitive,"Type of the primitive object used to model this segment as defined in mmCIF/IHM (atomistic, sphere, gaussian, other)"),secondaryStructureKey:Tc(Ec.AnyValue,"Unique value for each secondary structure element."),secondaryStructureFlags:Tc(_c.SecondaryStructureFlags),isModified:Tc(Ec.Bool,"True if the atom belongs to modification of a standard residue."),modifiedParentName:Tc(Ec.Str,"'3-letter' code of the modifed parent residue."),isNonStandard:Tc(Ec.Bool,"True if this is a non-standard residue."),chemCompType:Tc(Ec.Str,"Type of the chemical component as defined in mmCIF.")}},bondProperty:{"@header":"Bond Properties",flags:Pc(_c.BondFlags),order:Pc(Ec.Num),length:Pc(Ec.Num),atomA:Pc(_c.ElementReference),atomB:Pc(_c.ElementReference)}},internal:{"@header":"Internal Queries",generator:{"@header":"Generators",bundleElement:Sc(Cc.Dictionary({groupedUnits:bc(Ec.Any),set:bc(Ec.Any),ranges:bc(Ec.Any)}),Ec.Any),bundle:Sc(Cc.Dictionary({elements:bc(Ec.Any)}),_c.ElementSelectionQuery,"A selection with single structure containing represented by the bundle."),current:Sc(Cc.None,_c.ElementSelectionQuery,"Current selection provided by the query context. Avoid using this in State Transforms.")}}};Nc(Jc);var Oc,Kc=Rc(Jc);!function(){for(var A=Object.create(null),e=0,t=Kc;e<t.length;e++){var r=t[e];A[r.id]=r}}(),function(A){A.core=Jc.core,A.struct=Jc.structureQuery,A.internal=Jc.internal,A.atomName=function(e){return A.struct.type.atomName([e])},A.es=function(e){return A.struct.type.elementSymbol([e])},A.list=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];return A.core.type.list(e)},A.set=function(){for(var e=[],t=0;t<arguments.length;t++)e[t]=arguments[t];return A.core.type.set(e)},A.re=function(e,t){return A.core.type.regex([e,t])},A.fn=function(e){return A.core.ctrl.fn([e])},A.evaluate=function(e){return A.core.ctrl.eval([e])};var e=A.struct.atomProperty.core,t=A.struct.atomProperty.macromolecular,r=A.struct.atomProperty.topology;function n(A){return e[A]()}function i(A){return r[A]()}function o(A){return t[A]()}A.acp=n,A.atp=i,A.ammp=o;var a=A.struct.atomSet.propertySet;A.acpSet=function(A){return a([n(A)])},A.atpSet=function(A){return a([i(A)])},A.ammpSet=function(A){return a([o(A)])}}(Oc||(Oc={}));var jc=function(){function A(){this.count=0,this.center=gA(),this.radiusSq=0}return A.prototype.reset=function(){gA.set(this.center,0,0,0),this.radiusSq=0,this.count=0},A.prototype.includeStep=function(A){gA.add(this.center,this.center,A),this.count++},A.prototype.finishedIncludeStep=function(){0!==this.count&&gA.scale(this.center,this.center,1/this.count)},A.prototype.radiusStep=function(A){var e=gA.squaredDistance(A,this.center);e>this.radiusSq&&(this.radiusSq=e)},A.prototype.radiusSphereStep=function(A,e){var t=gA.distance(A,this.center)+e,r=t*t;r>this.radiusSq&&(this.radiusSq=r)},A.prototype.getSphere=function(A){return A||(A=Ss()),gA.copy(A.center,this.center),A.radius=Math.sqrt(this.radiusSq),A},A.prototype.getCount=function(){return this.count},A}();!function(A){var e=new A,t=gA(),r=gA();A.fromArrays=function(A,r){var n=A.x,i=A.y,o=A.z;e.reset();for(var a=n.length,s=0;s<a;s++)gA.set(t,n[s],i[s],o[s]),e.includeStep(t);for(e.finishedIncludeStep(),s=0;s<a;s++)gA.set(t,n[s],i[s],o[s]),e.radiusStep(t);return gA.copy(r.center,e.center),r.radius=Math.sqrt(e.radiusSq),r},A.fromProvider=function(A,r,n){e.reset();for(var i=0;i<A;i++)r(i,t),e.includeStep(t);for(e.finishedIncludeStep(),i=0;i<A;i++)r(i,t),e.radiusStep(t);return gA.copy(n.center,e.center),n.radius=Math.sqrt(e.radiusSq),n},A.fromPairProvider=function(A,n,i){e.reset();for(var o=0;o<A;o++)n(o,t,r),e.includeStep(t),e.includeStep(r);for(e.finishedIncludeStep(),o=0;o<A;o++)n(o,t,r),e.radiusStep(t),e.radiusStep(r);return gA.copy(i.center,e.center),i.radius=Math.sqrt(e.radiusSq),i}}(jc||(jc={}));var zc=function(){function A(e){this.map=e;var t=0,r=[],n=new Map,i=new Map;this.map.forEach((function(e){e.forEach((function(e){t+=e.edgeCount,e.connectedIndices.forEach((function(t){e.getEdges(t).forEach((function(o){var a=e.unitA,s=e.unitB,u=A.getEdgeKey(t,a,o.indexB,s);n.set(u,r.length);var g=A.getVertexKey(t,a),c=i.get(g);void 0===c?i.set(g,[r.length]):c.push(r.length),r.push(w(w({},o),{indexA:t,unitA:a,unitB:s}))}))}))}))})),this.edgeCount=t,this.edges=r,this.edgeKeyIndex=n,this.vertexKeyIndex=i}return A.prototype.getConnectedUnits=function(A){return this.map.has(A)?this.map.get(A):Zc},A.prototype.getEdgeIndex=function(e,t,r,n){var i=A.getEdgeKey(e,t,r,n),o=this.edgeKeyIndex.get(i);return void 0!==o?o:-1},A.prototype.hasEdge=function(A,e,t,r){return-1!==this.getEdgeIndex(A,e,t,r)},A.prototype.getEdge=function(A,e,t,r){var n=this.getEdgeIndex(A,e,t,r);return-1!==n?this.edges[n]:void 0},A.prototype.getEdgeIndices=function(e,t){return this.vertexKeyIndex.get(A.getVertexKey(e,t))||[]},A}();!function(A){var e=function(){function A(A,e,t,r,n){this.unitA=A,this.unitB=e,this.edgeCount=t,this.connectedIndices=r,this.edgeMap=n}return A.prototype.hasEdges=function(A){return this.edgeMap.has(A)},A.prototype.getEdges=function(A){return this.edgeMap.has(A)?this.edgeMap.get(A):Zc},Object.defineProperty(A.prototype,"areUnitsOrdered",{get:function(){return this.unitA<this.unitB},enumerable:!1,configurable:!0}),A}();function t(A,e,t){A.has(e)?A.get(e).push(t):A.set(e,[t])}A.UnitPairEdges=e,A.getEdgeKey=function(A,e,t,r){return"".concat(A,"|").concat(e,"|").concat(t,"|").concat(r)},A.getVertexKey=function(A,e){return"".concat(A,"|").concat(e)};var r=function(){function A(){this.map=new Map}return A.prototype.startUnitPair=function(A,e){this.uA=A,this.uB=e,this.mapAB=new Map,this.mapBA=new Map,this.linkedA=zg.create(),this.linkedB=zg.create(),this.linkCount=0},A.prototype.finishUnitPair=function(){0!==this.linkCount&&(t(this.map,this.uA,new e(this.uA,this.uB,this.linkCount,this.linkedA.array,this.mapAB)),t(this.map,this.uB,new e(this.uB,this.uA,this.linkCount,this.linkedB.array,this.mapBA)))},A.prototype.add=function(A,e,r){t(this.mapAB,A,{indexB:e,props:r}),t(this.mapBA,e,{indexB:A,props:r}),zg.add(this.linkedA,A,A),zg.add(this.linkedB,e,e),this.linkCount+=1},A.prototype.getMap=function(){return this.map},A}();A.Builder=r}(zc||(zc={}));var qc,Zc=[];!function(A){A.Empty=to.create([],[],[],0,{flags:[],order:[]})}(qc||(qc={}));var Wc=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.getBondFromLocation=function(A){return TB.isAtomic(A.aUnit)&&TB.isAtomic(A.bUnit)?this.getEdge(A.aIndex,A.aUnit.id,A.bIndex,A.bUnit.id):void 0},e.prototype.getBondIndexFromLocation=function(A){return TB.isAtomic(A.aUnit)&&TB.isAtomic(A.bUnit)?this.getEdgeIndex(A.aIndex,A.aUnit.id,A.bIndex,A.bUnit.id):-1},e}(zc);function Xc(A,e,t,r,n,i){for(var o=new to.EdgeBuilder(n,A,e),a=new Uint16Array(o.slotCount),s=new Int8Array(o.slotCount),u=0,g=o.edgeCount;u<g;u++)o.addNextEdge(),o.assignProperty(a,r[u]),o.assignProperty(s,t[u]);return o.createGraph({flags:a,order:s},{canRemap:i})}!function(A){var e=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e}(zc.UnitPairEdges);A.UnitPairBonds=e}(Wc||(Wc={}));var $c=gA(),AB=gA();function eB(A,e,t){return A.conformation.position(e,$c),A.conformation.position(t,AB),gA.distance($c,AB)}var tB=new Set;var rB=gA(),nB=gA();function iB(A,e,t,r){return A.conformation.position(e,rB),t.conformation.position(r,nB),gA.distance(rB,nB)}var oB,aB,sB,uB=nA(),gB=gA(),cB=w(w({},ao),{ignoreWater:!0});function BB(A,e){var t=w(w({},cB),e);return function(A,e){var t=new zc.Builder,r=A.models.some((function(A){return Io.Provider.get(A)}));return e.noCompute||A.isCoarseGrained&&!r||BI.eachUnitPair(A,(function(A,r){!function(A,e,t,r){var n=t.maxRadius,i=A.elements,o=A.residueIndex,a=A.model.atomicConformation,s=a.x,u=a.y,g=a.z,c=e.elements,B=e.residueIndex,l=A.elements.length,Q=A.model.atomicHierarchy.atoms,I=Q.type_symbol,d=Q.label_alt_id,h=Q.label_atom_id,E=Q.label_comp_id,f=e.model.atomicHierarchy.atoms,C=f.type_symbol,p=f.label_alt_id,m=f.label_atom_id,y=f.label_comp_id,v=A.model.atomicHierarchy.residues.auth_seq_id,D=e.model.atomicHierarchy.residues.auth_seq_id,b=A.model.atomicConformation.occupancy,w=e.model.atomicConformation.occupancy,F=b.isDefined&&w.isDefined,U=A.model===e.model&&Qc.Provider.get(A.model),S=!t.forceCompute&&A.model===e.model&&Io.Provider.get(A.model),N=A.model.atomicHierarchy.atomSourceIndex,R=(S?dd.getInvertedAtomSourceIndex(e.model):{invertedIndex:void 0}).invertedIndex,H=A.model===e.model&&Qc.isExhaustive(A.model),G=nA.mul(uB,e.conformation.operator.inverse,A.conformation.operator.matrix),M=!nA.isIdentity(G),L=e.boundary.sphere,x=L.center,k=L.radius,Y=(k+n)*(k+n);r.startUnitPair(A.id,e.id);for(var _=0;_<l;_++){var V=i[_];if(gA.set(gB,s[V],u[V],g[V]),M&&gA.transformMat4(gB,gB,G),!(gA.squaredDistance(gB,x)>Y))if(t.forceCompute||!S){var T=t.forceCompute?void 0:U&&U.byAtomIndex.get(V);if(T&&T.length){for(var P=!1,J=0,O=T;J<O.length;J++){var K=O[J],j=K.partnerA,z=K.partnerB,q=j.atomIndex===V?z:j;(SA=kn.indexOf(e.elements,q.atomIndex))<0||iB(A,V,e,q.atomIndex)>n||(r.add(_,SA,{order:K.order,flag:K.flags}),P=!0)}if(P)continue}if(!H){var Z=b.value(V),X=e.lookup3d.find(gB[0],gB[1],gB[2],n),$=X.indices,AA=X.count,eA=X.squaredDistances;if(0!==AA)for(var tA=Bo(I.value(V)),rA=Eo(tA),iA=Qo(tA),oA=d.value(V),aA=co.has(tA),sA=h.value(V),uA=E.value(o[V]),cA=0;cA<AA;cA++){NA=c[SA=$[cA]];var BA=p.value(NA);if(!(oA&&BA&&oA!==BA||F&&w.value(NA)<1&&Z<1&&v.value(V)===D.value(NA))){var lA=Bo(C.value(NA)),QA=Eo(lA);if(!rA||!QA){var IA=(aA||co.has(lA))&&!(rA||QA);if(0!==(HA=Math.sqrt(eA[cA]))){var dA=lo(tA,lA);if(HA<=(dA>0?dA:lA<0?iA:(iA+Qo(lA))/1.95)){var hA=m.value(NA),EA=y.value(B[NA]);r.add(_,SA,{order:vc(uA,EA,sA,hA),flag:32|(IA?2:1)})}}}}}}}else for(var fA=S.maxDistance,CA=S.bonds,pA=CA.offset,mA=CA.b,yA=CA.edgeProps,vA=yA.order,DA=yA.distance,bA=yA.flag,wA=N.value(V),FA=pA[wA],UA=pA[wA+1];FA<UA;++FA){var SA,NA=R[mA[FA]];if(!((SA=kn.indexOf(e.elements,NA))<0||"H"===I.value(V)&&"H"===C.value(NA))){var RA=DA[FA],HA=iB(A,V,e,NA);(-1!==RA&&W(HA,RA,.5)||HA<fA)&&r.add(_,SA,{order:vA[FA],flag:bA[FA]})}}}r.finishUnitPair()}(A,r,e,t)}),{maxRadius:e.maxRadius,validUnit:function(A){return TB.isAtomic(A)},validUnitPair:function(t,r){return e.validUnitPair(A,t,r)}}),new Wc(t.getMap())}(A,w(w({},t),{validUnitPair:e&&e.validUnitPair||function(A,e,r){var n=e.model.atomicHierarchy.derived.residue.moleculeType,i=r.model.atomicHierarchy.derived.residue.moleculeType,o=!(TB.isAtomic(e)&&2===n[e.residueIndex[e.elements[0]]]||TB.isAtomic(r)&&2===i[r.residueIndex[r.elements[0]]]);return BI.validUnitPair(A,e,r)&&(o||!t.ignoreWater)}}))}function lB(A){A.count=A.endVertex-A.startVertex;for(var e=A.visited,t=A.pred,r=A.color,n=0;n<A.count;n++)e[n]=-1,t[n]=-1,r[n]=0;A.currentColor=0,A.currentAltLoc="",A.hasAltLoc=!1}function QB(A,e,t){var r=A.visited;if(A.startVertex=e,A.endVertex=t,!(A.endVertex-A.startVertex<3)){A.currentRings=[];for(var n=A.unit.elements,i=[],o=A.startVertex;o<A.endVertex;o++)Cr(i,s=A.altLoc.value(n[o]));if(pr(i,""),0===i.length)for(lB(A),o=0;o<A.count;o++)r[o]>=0||dB(A,o);else for(var a=0;a<i.length;a++)for(lB(A),A.hasAltLoc=!0,A.currentAltLoc=i[a],o=0;o<A.count;o++){var s;r[o]>=0||(s=A.altLoc.value(n[A.startVertex+o]))&&s!==A.currentAltLoc||dB(A,o)}o=0;for(var u=A.currentRings.length;o<u;o++)A.rings.push(A.currentRings[o])}}function IB(A,e,t){if(!(t<e)){for(var r=A.pred,n=A.color,i=A.left,o=A.right,a=++A.currentColor,s=e,u=0;u<4&&(n[s]=a,!((s=r[s])<0));u++);var g=0,c=0,B=!1,l=0;for(s=t,u=0;u<4;u++){if(n[s]===a){l=s,B=!0;break}if(o[c++]=s,(s=r[s])<0)break}if(B){for(s=e,u=0;u<4&&(i[g++]=s,l!==s)&&!((s=r[s])<0);u++);var Q=g+c;if(!(Q<3)){var I=new Int32Array(Q),d=0;for(u=0;u<g;u++)I[d++]=A.startVertex+i[u];for(u=c-1;u>=0;u--)I[d++]=A.startVertex+o[u];if(zA(I),A.hasAltLoc)for(var h=0,E=A.currentRings.length;h<E;h++){var f=A.currentRings[h];if(I[0]===f[0]&&I.length===f.length){for(var C=!0,p=0,m=I.length;p<m;p++)if(I[p]!==f[p]){C=!1;break}if(C)return}}A.currentRings.push(kn.ofSortedArray(I))}}}}function dB(A,e){var t=A.bonds,r=A.startVertex,n=A.endVertex,i=A.visited,o=A.queue,a=A.pred,s=A.unit.elements,u=t.b,g=t.edgeProps.flags,c=t.offset;i[e]=1,o[0]=e;for(var B=0,l=1;B<l;)for(var Q=o[B++],I=r+Q,d=c[I],h=c[I+1],E=d;E<h;E++){var f=u[E];if(!(f<r||f>=n)&&pa.isCovalent(g[E])){if(A.hasAltLoc){var C=A.altLoc.value(s[f]);if(C&&A.currentAltLoc!==C)continue}var p=f-r;i[p]>0?a[p]!==Q&&a[Q]!==p&&IB(A,Q,p):(i[p]=1,o[l++]=p,a[p]=Q)}}}function hB(A){for(var e=A.length,t=new Int32Array(2*e),r=0;r<t.length;r++)t[r]=-1;for(var n="",i="",o=0,a=1;a<t.length;a++){for(r=t[a-o-1];-1!==r&&(n=A[a%e])!==(i=A[(o+r+1)%e]);)n<i&&(o=a-r-1),r=t[r];-1===r&&(n=A[a%e])!==(i=A[(o+r+1)%e])?(n<i&&(o=a),t[a-o]=-1):t[a-o]=r+1}return o}function EB(A,e){var t,r=A.length,n=[];for(t=0;t<r-1;t++)n.push(A[(t+e)%r]),n.push("-");return n.push(A[(t+e)%r]),n.join("")}function fB(A,e,t,r){r=A[e],A[e]=A[t],A[t]=r}function CB(A,e){return(A=Math.abs(A))>(e=Math.abs(e))?(e/=A,A*Math.sqrt(1+e*e)):e>0?(A/=e,e*Math.sqrt(1+A*A)):0}!function(A){function e(A,e,t,r,n,i){return{kind:"bond-location",aStructure:A,aUnit:e,aIndex:t,bStructure:r,bUnit:n,bIndex:i}}function t(A,e){return A.aStructure.label===e.aStructure.label&&A.bStructure.label===e.bStructure.label&&A.aIndex===e.aIndex&&A.bIndex===e.bIndex&&A.aUnit.id===e.aUnit.id&&A.bUnit.id===e.bUnit.id}function r(A,e){return{kind:"bond-loci",structure:A,bonds:e}}A.Location=e,A.isLocation=function(A){return!!A&&"bond-location"===A.kind},A.areLocationsEqual=t,A.Loci=r,A.isLoci=function(A){return!!A&&"bond-loci"===A.kind},A.areLociEqual=function(A,e){if(A.structure!==e.structure)return!1;if(A.bonds.length!==e.bonds.length)return!1;for(var r=0,n=A.bonds.length;r<n;++r)if(!t(A.bonds[r],e.bonds[r]))return!1;return!0},A.isLociEmpty=function(A){return 0===A.bonds.length},A.remapLoci=function(A,t){if(t===A.structure)return A;var n=[];return A.bonds.forEach((function(r){var i=t.unitMap.get(r.aUnit.id);if(i){var o=t.unitMap.get(r.bUnit.id);if(o){var a=r.aUnit.elements[r.aIndex],s=kn.indexOf(i.elements,a);if(-1!==s){var u=r.bUnit.elements[r.bIndex],g=kn.indexOf(o.elements,u);-1!==g&&n.push(e(A.structure,i,s,A.structure,o,g))}}}})),r(t,n)},A.toStructureElementLoci=function(A){for(var e=[],t=new Map,r=0,n=A.bonds;r<n.length;r++){var i=n[r],o=i.aIndex,a=i.aUnit,s=i.bIndex,u=i.bUnit;a===u?t.has(a.id)?t.get(a.id).push(o,s):t.set(a.id,[o,s]):(t.has(a.id)?t.get(a.id).push(o):t.set(a.id,[o]),t.has(u.id)?t.get(u.id).push(s):t.set(u.id,[s]))}return t.forEach((function(t,r){e.push({unit:A.structure.unitMap.get(r),indices:kn.deduplicate(kn.ofUnsortedArray(t))})})),dI(A.structure,e)},A.toFirstStructureElementLoci=function(A){var e=A.bonds[0],t=e.aUnit,r=e.aIndex;return dI(A.structure,[{unit:t,indices:Tn.ofSingleton(r)}])},A.getType=function(A,e){if(e.aUnit===e.bUnit){var t=e.aUnit.bonds,r=t.getEdgeIndex(e.aIndex,e.bIndex);return r<0?pa.create(0):pa.create(t.edgeProps.flags[r])}var n=A.interUnitBonds.getBondFromLocation(e);return n?pa.create(n.props.flag):pa.create(0)},A.getOrder=function(A,e){if(e.aUnit===e.bUnit){var t=e.aUnit.bonds,r=t.getEdgeIndex(e.aIndex,e.bIndex);return r<0?0:t.edgeProps.order[r]}var n=A.interUnitBonds.getBondFromLocation(e);return n?n.props.order:0},A.getIntraUnitBondCount=function(A){for(var e=0,t=0,r=A.units.length;t<r;++t){var n=A.units[t];TB.isAtomic(n)&&(e+=n.bonds.edgeCount)}return e};var n=function(){function A(){this.current={},this.hasNext=!1}return A.prototype.move=function(){return this.advance(),this.current},A.prototype.setElement=function(A,e,t){this.structure=A,this.unit=e,this.index=t,this.interBondIndices=A.interUnitBonds.getEdgeIndices(t,e.id),this.interBondCount=this.interBondIndices.length,this.interBondIndex=0,this.intraBondEnd=e.bonds.offset[t+1],this.intraBondIndex=e.bonds.offset[t],this.hasNext=this.interBondIndex<this.interBondCount||this.intraBondIndex<this.intraBondEnd},A.prototype.advance=function(){if(this.intraBondIndex<this.intraBondEnd)this.current.otherUnit=this.unit,this.current.otherIndex=this.unit.bonds.b[this.intraBondIndex],this.current.type=this.unit.bonds.edgeProps.flags[this.intraBondIndex],this.current.order=this.unit.bonds.edgeProps.order[this.intraBondIndex],this.intraBondIndex+=1;else{if(!(this.interBondIndex<this.interBondCount))return void(this.hasNext=!1);var A=this.structure.interUnitBonds.edges[this.interBondIndex];this.current.otherUnit=this.structure.unitMap.get(A.unitA!==this.unit.id?A.unitA:A.unitB),this.current.otherIndex=A.indexA!==this.index?A.indexA:A.indexB,this.current.type=A.props.flag,this.current.order=A.props.order,this.interBondIndex+=1}this.hasNext=this.interBondIndex<this.interBondCount||this.intraBondIndex<this.intraBondEnd},A}();A.ElementBondIterator=n,A.getBoundingSphere=function(A,e){return jc.fromPairProvider(A.bonds.length,(function(e,t,r){var n=A.bonds[e],i=n.aUnit,o=n.aIndex,a=n.bUnit,s=n.bIndex;i.conformation.position(i.elements[o],t),a.conformation.position(a.elements[s],r)}),e)}}(oB||(oB={})),function(A){A.create=function(A,e,t){void 0===t&&(t=Float32Array);var r=A*e;return{data:new t(r),size:r,cols:A,rows:e}},A.get=function(A,e,t){return A.data[A.rows*t+e]},A.set=function(A,e,t,r){return A.data[A.rows*t+e]=r,A},A.add=function(A,e,t,r){return A.data[A.rows*t+e]+=r,A},A.makeZero=function(A){return A.data.fill(0),A},A.clone=function(A){return{data:A.data.slice(),size:A.size,cols:A.cols,rows:A.rows}},A.fromArray=function(A,e,t){return{data:A,size:e*t,cols:e,rows:t}},A.transpose=function(A,e){if(A.cols!==e.rows||A.rows!==e.cols)throw new Error("transpose: matrix dimensions incompatible");if(A.data===e.data)throw new Error("transpose: matrices share memory");for(var t=e.rows,r=e.cols,n=e.data,i=A.data,o=0,a=0,s=0;o<t;s+=1,a+=r,++o)for(var u=s,g=0;g<r;u+=t,g++)i[u]=n[a+g];return A},A.multiplyABt=function(A,e,t){for(var r=e.cols,n=e.rows,i=t.rows,o=e.data,a=t.data,s=A.data,u=0,g=0,c=0;u<n;g+=r,u++)for(var B=0,l=0;l<i;c++,l++){for(var Q=0,I=g,d=0;d<r;I++,B++,d++)Q+=o[I]*a[B];s[c]=Q}return A},A.meanRows=function(A){for(var e=A.rows,t=A.cols,r=A.data,n=new Array(t),i=0;i<t;++i)n[i]=0;for(var o=0,a=0;o<e;++o)for(i=0;i<t;++i,++a)n[i]+=r[a];for(i=0;i<t;++i)n[i]/=e;return n},A.subRows=function(A,e){for(var t=A.rows,r=A.cols,n=A.data,i=0,o=0;i<t;++i)for(var a=0;a<r;++a,++o)n[o]-=e[a];return A}}(aB||(aB={})),function(A){function e(A){if(3===A.length)return ks.create(gA.fromArray(gA(),A,0),gA.create(1,0,0),gA.create(0,1,0),gA.create(0,1,0));var e=aB.fromArray(A,3,A.length/3),t=e.rows,r=t/3,n=aB.create(3,3),i=aB.create(1,3),o=aB.create(3,3),a=aB.create(3,3),s=aB.meanRows(e),u=aB.subRows(aB.clone(e),s),g=aB.transpose(aB.create(t,3),u);aB.multiplyABt(n,g,g),function(A,e,t,r){var n=0,i=0,o=A.rows,a=A.cols,s=o,u=a;s<u&&(n=1,i=s,s=u,u=i);var g=aB.create(s,s),c=aB.create(1,u),B=aB.create(u,u);if(0===n)aB.transpose(g,A);else{for(i=0;i<a*o;i++)g.data[i]=A.data[i];for(;i<u*s;i++)g.data[i]=0}if(function(A,e,t,r,n,i,o,a){for(var s=0,u=0,g=0,c=0,B=Math.max(i,30),l=0,Q=0,I=0,d=0,h=0,E=0,f=0,C=0,p=0,m=0,y=0,v=0,D=0,b=0,w=0,F=0,U=0,S=4660,N=0,R=0,H=0,G=new 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c=gA.create(s[0],s[1],s[2]),B=gA.create(o.data[0],o.data[3],o.data[6]),l=gA.create(o.data[1],o.data[4],o.data[7]),Q=gA.create(o.data[2],o.data[5],o.data[8]);return gA.scale(B,B,Math.sqrt(i.data[0]/r)),gA.scale(l,l,Math.sqrt(i.data[1]/r)),gA.scale(Q,Q,Math.sqrt(i.data[2]/r)),ks.create(c,B,l,Q)}A.ofPositions=function(A){var t=e(A);return{momentsAxes:t,boxAxes:o(A,t)}},A.calculateMomentsAxes=e;var t=gA(),r=gA(),n=gA(),i=gA();function o(A,e){if(3===A.length)return ks.clone(e);for(var o=-1/0,a=-1/0,s=-1/0,u=-1/0,g=-1/0,c=-1/0,B=gA(),l=gA(),Q=e.origin,I=gA.normalize(r,e.dirA),d=gA.normalize(n,e.dirB),h=gA.normalize(i,e.dirC),E=0,f=A.length;E<f;E+=3){gA.projectPointOnVector(B,gA.fromArray(B,A,E),I,Q);var C=gA.dot(I,gA.normalize(l,gA.sub(l,B,Q))),p=gA.distance(B,Q);C>0?p>o&&(o=p):p>a&&(a=p),gA.projectPointOnVector(B,gA.fromArray(B,A,E),d,Q);var m=gA.dot(d,gA.normalize(l,gA.sub(l,B,Q))),y=gA.distance(B,Q);m>0?y>s&&(s=y):y>u&&(u=y),gA.projectPointOnVector(B,gA.fromArray(B,A,E),h,Q);var v=gA.dot(h,gA.normalize(l,gA.sub(l,B,Q))),D=gA.distance(B,Q);v>0?D>g&&(g=D):D>c&&(c=D)}var b=gA.setMagnitude(gA(),I,(o+a)/2),w=gA.setMagnitude(gA(),d,(s+u)/2),F=gA.setMagnitude(gA(),h,(g+c)/2),U=gA(),S=function(A,e,r){gA.copy(t,Q),gA.scaleAndAdd(t,t,I,A),gA.scaleAndAdd(t,t,d,e),gA.scaleAndAdd(t,t,h,r),gA.add(U,U,t)};return S(o,s,g),S(o,s,-c),S(o,-u,-c),S(o,-u,g),S(-a,-u,-c),S(-a,-u,g),S(-a,s,g),S(-a,s,-c),gA.scale(U,U,1/8),ks.create(U,b,w,F)}A.calculateBoxAxes=o}(sB||(sB={}));var pB,mB,yB=function(){function A(A,e){this.unit=e,this.all=A}return Object.defineProperty(A.prototype,"index",{get:function(){return this._index||(this._index=function(A,e){for(var t=new Map,r=new Map,n=0,i=A.length;n<i;n++)for(var o=0,a=(B=A[n]).length;o<a;o++){var s=B[o];t.has(s)?t.get(s).push(n):t.set(s,[n])}for(var u=0,g=e.length;u<g;u++)for(o=0,a=(B=A[n=e[u]]).length;o<a;o++)s=B[o],r.has(s)?r.get(s).push(n):r.set(s,[n]);var c=new to.UniqueEdgeBuilder(A.length);for(n=0,i=A.length;n<i;n++){var B;for(o=0,a=(B=A[n]).length;o<a;o++){s=B[o];var l=t.get(s);if(1!==l.length)for(var Q=0,I=l.length;Q<I;Q++){var d=l[Q];n>=d||c.addEdge(n,d)}}}var h=to.connectedComponents(c.getGraph()),E=h.componentIndex,f=[];for(o=0;o<h.componentCount;o++)f[o]=[];for(n=0,i=A.length;n<i;n++)f[E[n]].push(n);return{elementRingIndices:t,elementAromaticRingIndices:r,ringComponentIndex:E,ringComponents:f}}(this.all,this.aromaticRings)),this._index},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"byFingerprint",{get:function(){return this._byFingerprint||(this._byFingerprint=function(A,e){for(var t=new Map,r=0,n=0,i=e.length;n<i;n++){var o=e[n],a=pB.fingerprint(A,o);t.has(a)?t.get(a).push(r):t.set(a,[r]),r++}return t}(this.unit,this.all)),this._byFingerprint},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"elementRingIndices",{get:function(){return this.index.elementRingIndices},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"elementAromaticRingIndices",{get:function(){return this.index.elementAromaticRingIndices},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"ringComponentIndex",{get:function(){return this.index.ringComponentIndex},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"ringComponents",{get:function(){return this.index.ringComponents},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"aromaticRings",{get:function(){return this._aromaticRings||(this._aromaticRings=function(A,e){for(var t=[],r=0,n=e.length;r<n;++r)pB.isAromatic(A,e[r])&&t.push(r);return t}(this.unit,this.all)),this._aromaticRings},enumerable:!1,configurable:!0}),A}();function vB(A,e){for(var t=A.elements,r=A.model.atomicHierarchy.residueAtomSegments.index,n=r[t[e[0]]],i=1,o=e.length;i<o;i++)if(n!==r[t[e[i]]])return-1;return n}function DB(A,e,t){var r=A.byFingerprint.get(e);if(r)for(var n=0,i=r.length;n<i;n++){var o=r[n],a=vB(A.unit,A.all[o]);a>=0&&(t.has(a)?t.get(a).push(o):t.set(a,[o]))}}function bB(A){for(var e=[],t=A.elements,r=A.model.coarseHierarchy,n=r.spheres,i=r.gaussians,o=TB.isSpheres(A)?n.polymerRanges:i.polymerRanges,a=mB.transientSegments(o,t);a.hasNext;)for(var s=a.move(),u=s.start,g=s.end,c=u;c<g;++c)e.push(t[c]);return kn.ofSortedArray(e)}function wB(A){for(var e=[],t=A.elements,r=A.model.coarseHierarchy,n=r.spheres,i=r.gaussians,o=TB.isSpheres(A)?n.gapRanges:i.gapRanges,a=mB.transientSegments(o,t);a.hasNext;){var s=a.move(),u=s.start,g=s.end;e.push(t[u],t[g-1])}return kn.ofSortedArray(e)}!function(A){function e(A){return function(A){for(var e=A.length,t=new Array(e),r=0;r<e;r++)t[r]=A[e-r-1];var n=hB(A),i=hB(t),o=!1;for(r=0;r<e;r++){var a=A[(r+n)%e],s=t[(r+i)%e];if(a!==s){o=a<s;break}}return o?EB(A,n):EB(t,i)}(A)}A.fingerprint=function(A,t){for(var r=A.elements,n=A.model.atomicHierarchy.atoms.type_symbol,i=[],o=0,a=t.length;o<a;o++)i[i.length]=n.value(r[t[o]]);return e(i)},A.elementFingerprint=e;var t=new Set(["B","C","N","O","SI","P","S","GE","AS","SN","SB","BI"]);A.isAromatic=function(A,e){var r=A.elements,n=A.bonds,i=n.b,o=n.offset,a=n.edgeProps.flags,s=A.model.atomicHierarchy.atoms,u=s.type_symbol;if("PRO"===s.label_comp_id.value(A.elements[e[0]]))return!1;for(var g=0,c=!1,B=0,l=e.length;B<l;++B){var Q=e[B];!c&&t.has(u.value(r[Q]))&&(c=!0);for(var I=o[Q],d=o[Q+1];I<d;++I)pa.is(16,a[I])&&kn.has(e,i[I])&&(g+=1)}if(g===2*e.length)return!0;if(!c)return!1;var h=sB.calculateMomentsAxes(Bs(A,e));return gA.magnitude(h.dirC)<.05},A.getAltId=function(A,e){for(var t=A.model.atomicHierarchy.atoms.label_alt_id,r=A.elements,n=0,i=e.length;n<i;++n){var o=r[e[n]],a=t.value(o);if(a)return a}return""}}(pB||(pB={})),function(A){A.create=function(e){var t=function(A){for(var e=function(A){for(var e=vi.transientSegments(A.model.atomicHierarchy.residueAtomSegments,A.elements),t=0;e.hasNext;){var r=e.move();t=Math.max(t,r.end-r.start)}return t}(A),t=function(A,e){return{startVertex:0,endVertex:0,count:0,visited:new Int32Array(e),queue:new Int32Array(e),pred:new Int32Array(e),left:new Int32Array(4),right:new Int32Array(4),color:new Int32Array(e),currentColor:0,currentAltLoc:"",hasAltLoc:!1,rings:[],currentRings:[],unit:A,bonds:A.bonds,altLoc:A.model.atomicHierarchy.atoms.label_alt_id}}(A,e),r=vi.transientSegments(A.model.atomicHierarchy.residueAtomSegments,A.elements);r.hasNext;){var n=r.move();QB(t,n.start,n.end)}return t.rings}(e);return new A(t,e)},A.byFingerprintAndResidue=function(A,e){for(var t=new Map,r=0,n=e.length;r<n;r++)DB(A,e[r],t);return t}}(yB||(yB={})),function(A){function e(A){return A[A.length-1]}function t(A){return A.length/2}function r(A,e){return A[2*e]}function n(A,e){return A[2*e+1]+1}function i(A,e){return A[2*e]}function o(A,e){return A[2*e+1]}function a(A,e){return s(A,e,0)}function s(A,r,n){if(i(A,n)>Tn.max(r)||e(A)<Tn.min(r))return-1;for(var a=n,s=t(A);a<s;++a){var u=qr.ofRange(i(A,a),o(A,a));if(Tn.areIntersecting(u,r))return a}return-1}A.ofSortedRanges=function(A){return kn.ofSortedArray(A)},A.start=function(A){return A[0]},A.end=function(A){return A[A.length-1]+1},A.min=function(A){return A[0]},A.max=e,A.size=function(A){for(var e=0,t=0,r=A.length;t<r;t+=2)e+=A[t+1]-A[t]+1;return e},A.count=t,A.startAt=r,A.endAt=n,A.minAt=i,A.maxAt=o,A.areEqual=function(A,e){if(A.length!==e.length)return!1;for(var t=0,r=A.length;t<r;++t)if(A[t]!==e[t])return!1;return!0},A.forEach=function(A,e){for(var t=0,r=0,n=A.length;r<n;r+=2)for(var i=A[r],o=A[r+1];i<=o;++i)e(i,t),++t},A.has=function(A,e){return-1!==a(A,e)},A.hasFrom=function(A,e,t){return-1!==s(A,e,t)},A.firstIntersectionIndex=a,A.firstIntersectionIndexFrom=s,A.transientSegments=function(A,e){return new u(A,e)};var u=function(){function A(A,e){this.ranges=A,this.set=e,this.value={index:0,start:0,end:0},this.curIndex=0,this.hasNext=!1,this.curIndex=a(A,e),this.hasNext=-1!==this.curIndex}return A.prototype.updateValue=function(){this.value.index=this.curIndex,this.value.start=Tn.findPredecessorIndex(this.set,r(this.ranges,this.curIndex)),this.value.end=Tn.findPredecessorIndex(this.set,n(this.ranges,this.curIndex))},A.prototype.move=function(){return this.hasNext&&(this.updateValue(),this.curIndex=s(this.ranges,this.set,this.curIndex+1),this.hasNext=-1!==this.curIndex),this.value},A}();A.Iterator=u}(mB||(mB={}));var FB=gA.zero();function UB(A){var e=function(A){for(var e=A.conformation.invariantPosition,t=A.elements,r=new Float32Array(3*t.length),n=0,i=t.length;n<i;n++)e(t[n],FB),gA.toArray(FB,r,3*n);return r}(A);return sB.ofPositions(e)}var SB=function(){function A(A){this.minDist=[],this.maxDist=[],this.extrema=[],this.centroidHelper=new jc,this.dir=function(A){var e;switch(A){case"6":e=S([],NB,!0);break;case"14":e=S(S([],NB,!0),RB,!0);break;case"26":e=S(S(S([],NB,!0),RB,!0),HB,!0);break;case"98":e=S(S(S(S(S(S([],NB,!0),RB,!0),HB,!0),GB,!0),MB,!0),LB,!0)}return e.map((function(A){var e=gA.create(A[0],A[1],A[2]);return gA.normalize(e,e)}))}(A),this.reset()}return A.prototype.computeExtrema=function(A,e){var t=gA.dot(this.dir[A],e);t<this.minDist[A]&&(this.minDist[A]=t,gA.copy(this.extrema[2*A],e)),t>this.maxDist[A]&&(this.maxDist[A]=t,gA.copy(this.extrema[2*A+1],e))},A.prototype.computeSphereExtrema=function(A,e,t){var r=gA.dot(this.dir[A],e);r-t<this.minDist[A]&&(this.minDist[A]=r-t,gA.scaleAndSub(this.extrema[2*A],e,this.dir[A],t)),r+t>this.maxDist[A]&&(this.maxDist[A]=r+t,gA.scaleAndAdd(this.extrema[2*A+1],e,this.dir[A],t))},A.prototype.includeSphere=function(A){if(Ss.hasExtrema(A)&&A.extrema.length>1)for(var e=0,t=A.extrema;e<t.length;e++){var r=t[e];this.includePosition(r)}else this.includePositionRadius(A.center,A.radius)},A.prototype.includePosition=function(A){for(var e=0,t=this.dir.length;e<t;++e)this.computeExtrema(e,A)},A.prototype.includePositionRadius=function(A,e){for(var t=0,r=this.dir.length;t<r;++t)this.computeSphereExtrema(t,A,e)},A.prototype.finishedIncludeStep=function(){for(var A=0;A<this.extrema.length;A++)this.centroidHelper.includeStep(this.extrema[A]);this.centroidHelper.finishedIncludeStep()},A.prototype.radiusSphere=function(A){if(Ss.hasExtrema(A)&&A.extrema.length>1)for(var e=0,t=A.extrema;e<t.length;e++){var r=t[e];this.radiusPosition(r)}else this.radiusPositionRadius(A.center,A.radius)},A.prototype.radiusPosition=function(A){this.centroidHelper.radiusStep(A)},A.prototype.radiusPositionRadius=function(A,e){this.centroidHelper.radiusSphereStep(A,e)},A.prototype.getSphere=function(A){return Ss.setExtrema(this.centroidHelper.getSphere(A),S([],this.extrema,!0))},A.prototype.getBox=function(A){return Ns.fromVec3Array(A||Ns(),this.extrema)},A.prototype.reset=function(){for(var A=0,e=this.dir.length;A<e;++A)this.minDist[A]=1/0,this.maxDist[A]=-1/0,this.extrema[2*A]=gA(),this.extrema[2*A+1]=gA();this.centroidHelper.reset()},A}(),NB=[[1,0,0],[0,1,0],[0,0,1]],RB=[[1,1,1],[-1,1,1],[-1,-1,1],[1,-1,1]],HB=[[1,1,0],[1,-1,0],[1,0,1],[1,0,-1],[0,1,1],[0,1,-1]],GB=[[0,1,2],[0,2,1],[1,0,2],[2,0,1],[1,2,0],[2,1,0],[0,1,-2],[0,2,-1],[1,0,-2],[2,0,-1],[1,-2,0],[2,-1,0]],MB=[[1,1,2],[2,1,1],[1,2,1],[1,-1,2],[1,1,-2],[1,-1,-2],[2,-1,1],[2,1,-1],[2,-1,-1],[1,-2,1],[1,2,-1],[1,-2,-1]],LB=[[2,2,1],[1,2,2],[2,1,2],[2,-2,1],[2,2,-1],[2,-2,-1],[1,-2,2],[1,2,-2],[1,-2,-2],[2,-1,2],[2,1,-2],[2,-1,-2]],xB=gA.set,kB=new SB("14"),YB=new SB("98"),_B=gA();function VB(A){var e=A.x,t=A.y,r=A.z,n=A.radius,i=A.indices,o=Tn.size(i);if(o>25e4){var a=Ns.computeBounding(A);return{box:a,sphere:Ss.fromBox3D(Ss(),a)}}var s=function(A){return A>1e4?kB:YB}(o);s.reset();for(var u=0;u<o;u++){var g=Tn.getAt(i,u);xB(_B,e[g],t[g],r[g]),s.includePositionRadius(_B,n&&n[g]||0)}for(s.finishedIncludeStep(),u=0;u<o;u++)g=Tn.getAt(i,u),xB(_B,e[g],t[g],r[g]),s.radiusPositionRadius(_B,n&&n[g]||0);var c=s.getSphere();if(!n&&Ss.hasExtrema(c)&&o<=c.extrema.length){var B=[];for(u=0;u<o;u++)g=Tn.getAt(i,u),B.push(gA.create(e[g],t[g],r[g]));Ss.setExtrema(c,B)}return{box:s.getBox(),sphere:c}}var TB,PB,JB=function(){function A(){this.data=new Map}return A.prototype.get=function(A){var e=kn.hashCode(A);if(this.data.has(e))for(var t=0,r=this.data.get(e);t<r.length;t++){var n=r[t],i=n[0],o=n[1];if(kn.areEqual(A,i))return o}},A.prototype.set=function(A,e){var t=kn.hashCode(A);if(this.data.has(t)){for(var r=this.data.get(t),n=0,i=r;n<i.length;n++){var o=i[n];if(kn.areEqual(A,o[0]))return void(o[1]=e)}r.push([A,e])}else this.data.set(t,[[A,e]])},A.get=function(e){return e._dynamicPropertyData.ElementSetIntraBondCache||(e._dynamicPropertyData.ElementSetIntraBondCache=new A),e._dynamicPropertyData.ElementSetIntraBondCache},A}();function OB(){return{result:PB.create(),closeUnitsResult:ws.create(),unitGroupResult:ws.create()}}!function(A){function e(A){for(var e=[],t=0,r=A.length;t<r;t++)e.push(A[t].id);return ae(e)}function t(A){var t={};return{elements:A[0].elements,units:A,get unitIndexMap(){return t.unitIndexMap||(t.unitIndexMap=function(A){for(var e=Fi.Mutable(),t=0,r=A.length;t<r;t++)e.set(A[t].id,t);return e}(A)),t.unitIndexMap},hashCode:r(A[0]),transformHash:e(A)}}function r(A){return re(A.invariantId,kn.hashCode(A.elements))}var n;A.isAtomic=function(A){return 0===A.kind},A.isCoarse=function(A){return 1===A.kind||2===A.kind},A.isSpheres=function(A){return 1===A.kind},A.isGaussians=function(A){return 2===A.kind},A.create=function(A,e,t,r,n,o,a,s,u){switch(n){case 0:return new i(A,e,t,r,o,s,gs.createMapping(a,o.atomicConformation,void 0),null!=u?u:{});case 1:return g(A,e,t,r,o,1,s,gs.createMapping(a,o.coarseConformation.spheres,function(A){var e=A.coarseConformation.spheres.radius;return function(A){return e[A]}}(o)),null!=u?u:{});case 2:return g(A,e,t,r,o,2,s,gs.createMapping(a,o.coarseConformation.gaussians,(function(A){return 0})),null!=u?u:{})}},A.SymmetryGroup=t,function(A){A.areInvariantElementsEqual=function(A,e){return A.hashCode===e.hashCode&&kn.areEqual(A.elements,e.elements)},A.getUnitSymmetryGroupsIndexMap=function(A){for(var e=Fi.Mutable(),t=0,r=A.length;t<r;++t)for(var n=A[t],i=0,o=n.units.length;i<o;++i)e.set(n.units[i].id,t);return e}}(t=A.SymmetryGroup||(A.SymmetryGroup={})),A.conformationId=function(e){return A.isAtomic(e)?e.model.atomicConformation.id:e.model.coarseConformation.id},A.hashUnit=r,(n=A.Traits||(A.Traits={})).is=D.has,n.create=D.create;var i=function(){function e(A,e,t,r,n,i,o,a){this.kind=0,this.objectPrimitive="atomistic",this.id=A,this.invariantId=e,this.chainGroupId=t,this.traits=r,this.model=n,this.elements=i,this.conformation=o,this.residueIndex=n.atomicHierarchy.residueAtomSegments.index,this.chainIndex=n.atomicHierarchy.chainAtomSegments.index,this.props=a}return e.prototype.getChild=function(A){return A.length===this.elements.length?this:new e(this.id,this.invariantId,this.chainGroupId,this.traits,this.model,A,this.conformation,{})},e.prototype.applyOperator=function(A,t,r){void 0===r&&(r=!1);var n=r?t:gs.compose(this.conformation.operator,t);return new e(A,this.invariantId,this.chainGroupId,this.traits,this.model,this.elements,gs.createMapping(n,this.model.atomicConformation,this.conformation.r),this.props)},e.prototype.remapModel=function(t,r,n){n||(n=w(w({},this.props),{bonds:r?void 0:c(this,this.props.bonds,t)}),A.isSameConformation(this,t)||(n.boundary=void 0,n.lookup3d=void 0,n.principalAxes=void 0));var i=this.conformation.operator,o=ju.Provider.get(t);if(-1!==i.spgrOp&&o&&o!==ju.Provider.get(this.model)){var a=i.hkl,s=a[0],u=a[1],g=a[2],B=o.spacegroup.cell.toFractional,l=gA.transformMat4(gA(),dd.getCenter(t),B);i=bs.getSymmetryOperatorRef(o.spacegroup,i.spgrOp,s,u,g,l)}var Q=this.model.atomicConformation!==t.atomicConformation||i!==this.conformation.operator?gs.createMapping(i,t.atomicConformation):this.conformation;return new e(this.id,this.invariantId,this.chainGroupId,this.traits,t,this.elements,Q,n)},Object.defineProperty(e.prototype,"boundary",{get:function(){if(this.props.boundary)return this.props.boundary;var A=this.model.atomicConformation,e=A.x,t=A.y,r=A.z;return this.props.boundary=VB({x:e,y:t,z:r,indices:this.elements}),this.props.boundary},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"lookup3d",{get:function(){if(this.props.lookup3d)return this.props.lookup3d;var A=this.model.atomicConformation,e=A.x,t=A.y,r=A.z;return this.props.lookup3d=Rs({x:e,y:t,z:r,indices:this.elements},this.boundary),this.props.lookup3d},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"principalAxes",{get:function(){return this.props.principalAxes||(this.props.principalAxes=UB(this)),this.props.principalAxes},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"bonds",{get:function(){if(this.props.bonds)return this.props.bonds;var A=JB.get(this.model),e=A.get(this.elements);return e||(e=function(A,e){var t=w(w({},ao),e);return t.noCompute||dd.isCoarseGrained(A.model)?qc.Empty:!t.forceCompute&&Io.Provider.get(A.model)?function(A){for(var e=Io.Provider.get(A.model),t=A.elements,r=A.model.atomicHierarchy.atoms.type_symbol,n=A.elements.length,i=e.maxDistance,o=e.bonds,a=o.offset,s=o.b,u=o.edgeProps,g=u.order,c=u.distance,B=u.flag,l=A.model.atomicHierarchy.atomSourceIndex,Q=dd.getInvertedAtomSourceIndex(A.model).invertedIndex,I=[],d=[],h=[],E=[],f=0;f<n;f++)for(var C=t[f],p="H"===r.value(C),m=l.value(C),y=a[m],v=a[m+1];y<v;++y){var D=Q[s[y]];if(!(C>=D)){var b=kn.indexOf(A.elements,D);if(!(b<0||p&&"H"===r.value(D))){var w=c[y],F=eB(A,C,D);(-1!==w&&W(F,w,.5)||F<i)&&(I[I.length]=f,d[d.length]=b,E[E.length]=g[y],h[h.length]=B[y])}}}return Xc(I,d,E,h,n,!1)}(A):function(A,e){for(var t=e.maxRadius,r=A.model.atomicConformation,n=r.x,i=r.y,o=r.z,a=A.elements.length,s=A.elements,u=A.residueIndex,g=A.chainIndex,c=A.model.atomicHierarchy.atoms,B=c.type_symbol,l=c.label_atom_id,Q=c.label_alt_id,I=c.label_comp_id,d=A.model.atomicHierarchy.residues.label_seq_id,h=A.model.atomicHierarchy.index,E=A.model.sequence.byEntityKey,f=A.lookup3d,C=Qc.Provider.get(A.model),p=gc.Provider.get(A.model),m=Qc.isExhaustive(A.model),y=[],v=[],D=[],b=[],w=-1,F=void 0,U=!0,S=!0,N=!0,R=tB,H=0;H<a;H++){var G=s[H],M=B.value(G);!U||"H"===M&&"O"===M||(U=!1);var L=e.forceCompute?void 0:C&&C.byAtomIndex.get(G),x=!1;if(L)for(var k=0,Y=L;k<Y.length;k++){var _=Y[k],V=_.partnerA,T=_.partnerB;if(V.symmetry===T.symmetry){var P=V.atomIndex===G?T:V;(oA=kn.indexOf(A.elements,P.atomIndex))<0||s[oA]<G||(y[y.length]=H,v[v.length]=oA,D[D.length]=_.flags,b[b.length]=_.order,x||R.clear(),x=!0,R.add(oA))}}if(!m){var J=u[G],O=d.value(J),K=I.value(G);if(!e.forceCompute&&J!==w)if(p&&p.entries.has(K)){var j=E[h.getEntityFromChain(g[G])];F=j&&j.sequence.microHet.has(O)?void 0:p.entries.get(K).map}else F=void 0;w=J;for(var z=Bo(M),q=l.value(G),Z=F?F.get(q):void 0,W=f.find(n[G],i[G],o[G],t),X=W.indices,$=W.count,AA=W.squaredDistances,eA=Eo(z),tA=Qo(z),rA=Q.value(G),nA=co.has(z),iA=0;iA<$;iA++){var oA=X[iA];if(!x||!R.has(oA)){var aA=s[oA];if(!(aA<=G)){var sA=Q.value(aA);if(!rA||!sA||rA===sA){var uA=Bo(B.value(aA)),gA=Eo(uA);if(!eA||!gA){var cA=(nA||co.has(uA))&&!(eA||gA),BA=u[aA];if(J===BA&&Z){var lA=Z.get(l.value(aA));if(lA){y[y.length]=H,v[v.length]=oA,b[b.length]=lA.order;var QA=lA.flags;cA&&(1|QA&&(QA^=1),QA|=2),D[D.length]=QA}}else{var IA=Math.sqrt(AA[iA]);if(0!==IA){var dA=lo(z,uA);if(IA<=(dA>0?dA:uA<0?tA:(tA+Qo(uA))/1.95)){y[y.length]=H,v[v.length]=oA,b[b.length]=lc(K,q,l.value(aA)),D[D.length]=32|(cA?2:1);var hA=d.value(BA);O===hA&&(S=!1),Math.abs(O-hA)>1&&(N=!1)}}}}}}}}}}return Xc(y,v,b,D,a,U||S&&N)}(A,t)}(this),A.set(this.elements,e)),this.props.bonds=e,this.props.bonds},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"rings",{get:function(){return this.props.rings||(this.props.rings=yB.create(this)),this.props.rings},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"polymerElements",{get:function(){return this.props.polymerElements||(this.props.polymerElements=function(A){for(var e=[],t=A.elements,r=A.model,n=A.model.atomicHierarchy.residueAtomSegments,i=r.atomicHierarchy.derived.residue.traceElementIndex,o=mB.transientSegments(A.model.atomicRanges.polymerRanges,t),a=vi.transientSegments(n,t);o.hasNext;){var s=o.move();for(a.setSegment(s);a.hasNext;){var u=a.move(),g=u.start,c=u.end,B=u.index;if(Tn.areIntersecting(qr.ofRange(t[g],t[c-1]),t)){var l=i[B];e.push(-1===l?n.offsets[B]:l)}}}return kn.ofSortedArray(e)}(this)),this.props.polymerElements},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"gapElements",{get:function(){return this.props.gapElements||(this.props.gapElements=function(A){for(var e=[],t=A.elements,r=A.model,n=A.residueIndex,i=A.model.atomicHierarchy.residueAtomSegments,o=r.atomicHierarchy.derived.residue.traceElementIndex,a=mB.transientSegments(A.model.atomicRanges.gapRanges,A.elements);a.hasNext;){var s=a.move(),u=n[t[s.start]],g=n[t[s.end-1]],c=o[u],B=o[g];e.push(-1===c?i.offsets[u]:c),e.push(-1===B?i.offsets[g]:B)}return kn.ofSortedArray(e)}(this)),this.props.gapElements},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"nucleotideElements",{get:function(){return this.props.nucleotideElements||(this.props.nucleotideElements=function(A){for(var e=[],t=A.elements,r=A.model,n=r.atomicHierarchy,i=n.chainAtomSegments,o=n.residueAtomSegments,a=r.atomicHierarchy.derived.residue,s=a.moleculeType,u=a.traceElementIndex,g=vi.transientSegments(i,t),c=vi.transientSegments(o,t);g.hasNext;)for(c.setSegment(g.move());c.hasNext;){var B=c.move().index;if(ns(s[B])){var l=u[B];e.push(-1===l?o.offsets[B]:l)}}return kn.ofSortedArray(e)}(this)),this.props.nucleotideElements},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"proteinElements",{get:function(){return this.props.proteinElements||(this.props.proteinElements=function(A){for(var e=[],t=A.elements,r=A.model,n=r.atomicHierarchy,i=n.chainAtomSegments,o=n.residueAtomSegments,a=r.atomicHierarchy.derived.residue,s=a.moleculeType,u=a.traceElementIndex,g=vi.transientSegments(i,t),c=vi.transientSegments(o,t);g.hasNext;)for(c.setSegment(g.move());c.hasNext;){var B=c.move().index;if(is(s[B])){var l=u[B];e.push(-1===l?o.offsets[B]:l)}}return kn.ofSortedArray(e)}(this)),this.props.proteinElements},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"residueCount",{get:function(){if(void 0!==this.props.residueCount)return this.props.residueCount;for(var A=0,e=vi.transientSegments(this.model.atomicHierarchy.residueAtomSegments,this.elements);e.hasNext;)e.move(),A+=1;return this.props.residueCount=A,this.props.residueCount},enumerable:!1,configurable:!0}),e.prototype.getResidueIndex=function(A){return this.residueIndex[this.elements[A]]},e}();A.Atomic=i;var o=function(){function e(A,e,t,r,n,i,o,a,s){this.kind=i,this.objectPrimitive=1===i?"sphere":"gaussian",this.id=A,this.invariantId=e,this.chainGroupId=t,this.traits=r,this.model=n,this.elements=o,this.conformation=a,this.coarseElements=1===i?n.coarseHierarchy.spheres:n.coarseHierarchy.gaussians,this.coarseConformation=1===i?n.coarseConformation.spheres:n.coarseConformation.gaussians,this.props=s}return e.prototype.getChild=function(A){return A.length===this.elements.length?this:g(this.id,this.invariantId,this.chainGroupId,this.traits,this.model,this.kind,A,this.conformation,{})},e.prototype.applyOperator=function(A,e,t){void 0===t&&(t=!1);var r=t?e:gs.compose(this.conformation.operator,e);return g(A,this.invariantId,this.chainGroupId,this.traits,this.model,this.kind,this.elements,gs.createMapping(r,this.getCoarseConformation(),this.conformation.r),this.props)},e.prototype.remapModel=function(t,r,n){var i=this.getCoarseConformation(),o=a(this.kind,t);n||(n=w({},this.props),A.isSameConformation(this,t)||(n.boundary=void 0,n.lookup3d=void 0,n.principalAxes=void 0));var s=i!==o?gs.createMapping(this.conformation.operator,o):this.conformation;return new e(this.id,this.invariantId,this.chainGroupId,this.traits,t,this.kind,this.elements,s,n)},Object.defineProperty(e.prototype,"boundary",{get:function(){if(this.props.boundary)return this.props.boundary;var A=this.getCoarseConformation(),e=A.x,t=A.y,r=A.z;return this.props.boundary=VB({x:e,y:t,z:r,indices:this.elements}),this.props.boundary},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"lookup3d",{get:function(){if(this.props.lookup3d)return this.props.lookup3d;var A=this.getCoarseConformation(),e=A.x,t=A.y,r=A.z;return this.props.lookup3d=Rs({x:e,y:t,z:r,indices:this.elements},this.boundary),this.props.lookup3d},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"principalAxes",{get:function(){return this.props.principalAxes||(this.props.principalAxes=UB(this)),this.props.principalAxes},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"polymerElements",{get:function(){return this.props.polymerElements||(this.props.polymerElements=bB(this)),this.props.polymerElements},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"gapElements",{get:function(){return this.props.gapElements||(this.props.gapElements=wB(this)),this.props.gapElements},enumerable:!1,configurable:!0}),e.prototype.getCoarseConformation=function(){return a(this.kind,this.model)},e}();function a(A,e){return 1===A?e.coarseConformation.spheres:e.coarseConformation.gaussians}var s=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e}(o);A.Spheres=s;var u=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e}(o);function g(A,e,t,r,n,i,a,s,u){return new o(A,e,t,r,n,i,a,s,u)}function c(A,e,t){var r;if(e){if(A.model.atomicConformation.id===t.atomicConformation.id)return e;var n=Io.Provider.get(A.model);if(n){var i=Io.Provider.get(t);return i&&n!==i?void 0:e}return(null===(r=e.props)||void 0===r?void 0:r.canRemap)||B(A,t)?e:void 0}}function B(A,e){var t=dd.CoordinatesHistory.get(dd.getRoot(e));if(t)return t.areEqual(A.elements,A.kind,e);for(var r=A.elements,n=A.conformation.coordinates,i=n.x,o=n.y,a=n.z,s=l(A.kind,e),u=s.x,g=s.y,c=s.z,B=0,Q=r.length;B<Q;B++){var I=r[B];if(i[I]!==u[I]||o[I]!==g[I]||a[I]!==c[I])return!1}return!0}function l(A,e){return 0===A?e.atomicConformation:1===A?e.coarseConformation.spheres:e.coarseConformation.gaussians}function Q(A,e){return 0===A?e.atomicHierarchy:1===A?e.coarseHierarchy.spheres:e.coarseHierarchy.gaussians}A.Gaussians=u,A.areSameChainOperatorGroup=function(A,e){return A.chainGroupId===e.chainGroupId&&A.conformation.operator.name===e.conformation.operator.name},A.areOperatorsEqual=function(A,e){return nA.areEqual(A.conformation.operator.matrix,e.conformation.operator.matrix,1e-6)},A.areConformationsEqual=function(A,e){return!!kn.areEqual(A.elements,e.elements)&&B(A,e.model)},A.isSameConformation=B,A.getModelConformationOfKind=l,A.getConformation=function(A){return l(A.kind,A.model)},A.getModelHierarchyOfKind=Q,A.getHierarchy=function(A){return Q(A.kind,A.model)}}(TB||(TB={})),function(A){A.add=function(A,e,t,r){A.indices[A.count]=t,A.units[A.count]=e,A.squaredDistances[A.count]=r,A.count++},A.create=function(){return{count:0,indices:[],units:[],squaredDistances:[]}},A.copy=function(A,e){for(var t=0;t<e.count;++t)A.indices[t]=e.indices[t],A.units[t]=e.units[t],A.squaredDistances[t]=e.squaredDistances[t];return A.count=e.count,A}}(PB||(PB={}));var KB,jB,zB=function(){function A(A){this.structure=A,this.pivot=gA(),this.findContext=OB();for(var e=A.units,t=A.boundary,r=e.length,n=new Float32Array(r),i=new Float32Array(r),o=new Float32Array(r),a=new Float32Array(r),s=gA(),u=0;u<r;u++){var g=e[u],c=g.boundary.sphere;gA.transformMat4(s,c.center,g.conformation.operator.matrix),n[u]=s[0],i[u]=s[1],o[u]=s[2],a[u]=c.radius}var B={x:n,y:i,z:o,radius:a,indices:Tn.ofBounds(0,r)};this.unitLookup=Rs(B,t)}return A.prototype.findUnitIndices=function(A,e,t,r){return this.unitLookup.find(A,e,t,r)},A.prototype.find=function(A,e,t,r,n){return this._find(A,e,t,r,null!=n?n:this.findContext)},A.prototype._find=function(A,e,t,r,n){ws.reset(n.result);var i=this.structure.units,o=this.unitLookup.find(A,e,t,r,n.closeUnitsResult);if(0===o.count)return n.result;for(var a=0,s=o.count;a<s;a++){var u=i[o.indices[a]];gA.set(this.pivot,A,e,t),u.conformation.operator.isIdentity||gA.transformMat4(this.pivot,this.pivot,u.conformation.operator.inverse);for(var g=u.lookup3d.find(this.pivot[0],this.pivot[1],this.pivot[2],r,n.unitGroupResult),c=0,B=g.count;c<B;c++)PB.add(n.result,u,g.indices[c],g.squaredDistances[c])}return n.result},A.prototype.findIntoBuilder=function(A,e,t,r,n){var i=this.structure.units,o=this.unitLookup.find(A,e,t,r);if(0!==o.count)for(var a=0,s=o.count;a<s;a++){var u=i[o.indices[a]];gA.set(this.pivot,A,e,t),u.conformation.operator.isIdentity||gA.transformMat4(this.pivot,this.pivot,u.conformation.operator.inverse);var g=u.lookup3d.find(this.pivot[0],this.pivot[1],this.pivot[2],r);if(0!==g.count){var c=u.elements;n.beginUnit(u.id);for(var B=0,l=g.count;B<l;B++)n.addElement(c[g.indices[B]]);n.commitUnit()}}},A.prototype.findIntoBuilderIf=function(A,e,t,r,n,i){var o=this.structure.units,a=this.unitLookup.find(A,e,t,r);if(0!==a.count)for(var s=hc.create(this.structure),u=0,g=a.count;u<g;u++){var c=o[a.indices[u]];gA.set(this.pivot,A,e,t),c.conformation.operator.isIdentity||gA.transformMat4(this.pivot,this.pivot,c.conformation.operator.inverse);var B=c.lookup3d.find(this.pivot[0],this.pivot[1],this.pivot[2],r);if(0!==B.count){var l=c.elements;s.unit=c,n.beginUnit(c.id);for(var Q=0,I=B.count;Q<I;Q++)s.element=l[B.indices[Q]],i(s)&&n.addElement(s.element);n.commitUnit()}}},A.prototype.findIntoBuilderWithRadius=function(A,e,t,r,n,i,o,a){var s=this.structure.units,u=this.unitLookup.find(A,e,t,i);if(0!==u.count)for(var g=hc.create(this.structure),c=r+n+i,B=0,l=u.count;B<l;B++){var Q=s[u.indices[B]];gA.set(this.pivot,A,e,t),Q.conformation.operator.isIdentity||gA.transformMat4(this.pivot,this.pivot,Q.conformation.operator.inverse);var I=Q.lookup3d.find(this.pivot[0],this.pivot[1],this.pivot[2],c);if(0!==I.count){var d=Q.elements;g.unit=Q,a.beginUnit(Q.id);for(var h=0,E=I.count;h<E;h++){g.element=d[I.indices[h]];var f=o(g);Math.sqrt(I.squaredDistances[h])-r-f>i||a.addElement(d[I.indices[h]])}a.commitUnit()}}},A.prototype.check=function(A,e,t,r){var n=this.structure.units,i=this.unitLookup.find(A,e,t,r);if(0===i.count)return!1;for(var o=0,a=i.count;o<a;o++){var s=n[i.indices[o]];if(gA.set(this.pivot,A,e,t),s.conformation.operator.isIdentity||gA.transformMat4(this.pivot,this.pivot,s.conformation.operator.inverse),s.lookup3d.check(this.pivot[0],this.pivot[1],this.pivot[2],r))return!0}return!1},Object.defineProperty(A.prototype,"boundary",{get:function(){return this.structure.boundary},enumerable:!1,configurable:!0}),A}();function qB(A,e){if(0===e.length)return BI.Empty;if(1===e.length)return e[0];for(var t=new Map,r=new Set,n=0,i=e;n<i.length;n++)for(var o=i[n].units,a=0,s=o.length;a<s;a++){var u=o[a];if(t.has(u.id)){if(r.has(u.id))continue;var g=kn.union(t.get(u.id),u.elements);t.set(u.id,g),g.length===A.unitMap.get(u.id).elements.length&&r.add(u.id)}else t.set(u.id,u.elements),u.elements.length===A.unitMap.get(u.id).elements.length&&r.add(u.id)}var c=A.subsetBuilder(!0);return t.forEach(ZB,c),c.getStructure()}function ZB(A,e){this.setUnit(e,A)}function WB(A,e){if(A===e)return!0;if(A.units.length!==e.units.length)return!1;for(var t=A.units,r=e.unitMap,n=0,i=t.length;n<i;n++){var o=t[n];if(!r.has(o.id))return!1;var a=r.get(o.id);if(!kn.areEqual(o.elements,a.elements))return!1}return!0}function XB(A,e){if(A===e)return!0;var t,r;A.units.length<e.units.length?(t=A,r=e):(t=e,r=A);for(var n=t.units,i=r.unitMap,o=0,a=n.length;o<a;o++){var s=n[o];if(i.has(s.id)){var u=i.get(s.id);if(kn.areIntersecting(s.elements,u.elements))return!0}}return!1}function $B(A,e){if(A===e)return A;if(!XB(A,e))return BI.Empty;var t,r;A.units.length<e.units.length?(t=A,r=e):(t=e,r=A);for(var n=t.units,i=r.unitMap,o=[],a=0,s=n.length;a<s;a++){var u=n[a];if(i.has(u.id)){var g=i.get(u.id);if(kn.areIntersecting(u.elements,g.elements)){var c=kn.intersect(u.elements,g.elements);o[o.length]=u.getChild(c)}}}return BI.create(o,{parent:A.parent||e.parent})}function Al(A,e){if(A===e)return BI.Empty;if(!XB(A,e))return A;for(var t=A.units,r=e.unitMap,n=[],i=0,o=t.length;i<o;i++){var a=t[i];if(r.has(a.id)){var s=r.get(a.id),u=kn.subtract(a.elements,s.elements);u.length>0&&(n[n.length]=a.getChild(u))}else n[n.length]=a}return BI.create(n,{parent:A.parent||e.parent})}function el(A){return pa.isCovalent(A.atomicBond.type)}function tl(){return function(A){for(var e=A.inputStructure,t=hc.create(e),r=[],n=0,i=e.units;n<i.length;n++){var o=i[n];if(0===o.kind){t.unit=o;var a=o.elements;if(t.element=a[0],"polymer"===oQ.entity.type(t)){for(var s=vi.transientSegments(o.model.atomicHierarchy.residueAtomSegments,a),u=0;s.hasNext;)u++,s.move();u<8||r.push(o)}}}return KB.Singletons(e,BI.create(r,{parent:e}))}}function rl(){return function(A){for(var e=A.inputStructure,t=hc.create(e),r=[],n=0,i=e.units;n<i.length;n++){var o=i[n];if(0===o.kind){t.unit=o;var a=o.elements;t.element=a[0],"water"===oQ.entity.type(t)&&r.push(o)}}return KB.Singletons(e,BI.create(r,{parent:e}))}}function nl(){return function(A){for(var e=A.inputStructure,t=hc.create(e),r=[],n=0,i=e.units;n<i.length;n++){var o=i[n];if(0===o.kind){t.unit=o;var a=o.elements;if(t.element=a[0],"water"!==oQ.entity.type(t)){if("polymer"===oQ.entity.type(t)){for(var s=vi.transientSegments(o.model.atomicHierarchy.residueAtomSegments,a),u=0;s.hasNext;)u++,s.move();if(u>=8)continue}r.push(o)}}}return KB.Singletons(e,BI.create(r,{parent:e}))}}function il(){return function(A){for(var e=A.inputStructure,t=[],r=0,n=e.units;r<n.length;r++){var i=n[r];1===i.kind&&t.push(i)}return KB.Singletons(e,BI.create(t,{parent:e}))}}function ol(A,e,t){return{groupedUnits:A,ranges:e,set:t}}function al(A){return function(e){var t={hash:e.inputStructure.hashCode,elements:A};return KB.Sequence(e.inputStructure,[jB.toStructure(t,e.inputStructure)])}}!function(A){function e(A,e){return{kind:"singletons",source:A,structure:e}}function t(A,e){return{kind:"sequence",source:A,structures:e}}function r(A){return e(A,BI.Empty)}function n(A){return"singletons"===A.kind}function i(A){return n(A)?0===A.structure.units.length:0===A.structures.length}function o(A){return i(A)?BI.Empty:n(A)?A.structure:qB(A.source,A.structures)}function a(A,n,i){return 0===n.length?r(A):i?e(A,qB(A,n)):t(A,n)}A.Singletons=e,A.Sequence=t,A.Empty=r,A.isSingleton=n,A.isEmpty=i,A.structureCount=function(A){return n(A)?A.structure.elementCount:A.structures.length},A.unionStructure=o,A.toLociWithCurrentUnits=function(A){for(var e=[],t=A.source.unitMap,r=0,n=o(A).units;r<n.length;r++){var i=n[r];i===t.get(i.id)?e[e.length]={unit:i,indices:Tn.ofBounds(0,i.elements.length)}:e[e.length]={unit:i,indices:Tn.ofSortedArray(kn.indicesOf(t.get(i.id).elements,i.elements))}}return dI(A.source,e)},A.toLociWithSourceUnits=function(A){for(var e=[],t=A.source.unitMap,r=0,n=o(A).units;r<n.length;r++){var i=n[r],a=t.get(i.id);e[e.length]=a===i?{unit:a,indices:Tn.ofBounds(0,a.elements.length)}:{unit:a,indices:Tn.ofSortedArray(kn.indicesOf(a.elements,i.elements))}}return dI(A.source,e)};var s=function(){function A(A){this.source=A,this.structures=[],this.allSingletons=!0}return A.prototype.add=function(A){var e=A.elementCount;0!==e&&(this.structures[this.structures.length]=A,1!==e&&(this.allSingletons=!1))},A.prototype.getSelection=function(){return a(this.source,this.structures,this.allSingletons)},A}(),u=function(){function A(A){this.structure=A,this.structures=[],this.allSingletons=!0,this.uniqueSets=Og(BI.hashCode,BI.areUnitIdsAndIndicesEqual)}return A.prototype.add=function(A){var e=A.elementCount;0!==e&&this.uniqueSets.add(A)&&(this.structures[this.structures.length]=A,1!==e&&(this.allSingletons=!1))},A.prototype.getSelection=function(){return a(this.structure,this.structures,this.allSingletons)},A}();A.LinearBuilder=function(A){return new s(A)},A.UniqueBuilder=function(A){return new u(A)},A.forEach=function(e,t){var r=0;if(A.isSingleton(e))for(var n=0,i=e.structure.units;n<i.length;n++)for(var o=i[n],a=o.elements,s=0,u=a.length;s<u;s++)t(BI.create([o.getChild(kn.ofSingleton(a[s]))],{parent:e.source}),r++);else for(var g=0,c=e.structures;g<c.length;g++)t(c[g],r++)},A.withInputStructure=function(A,r){return n(A)?e(r,A.structure):t(r,A.structures)}}(KB||(KB={})),function(A){function e(A){for(var e=[],t=0,r=A.elements;t<r.length;t++){var n=(I=r[t]).unit,i=I.indices;if(0!==Tn.size(i)){var o=[],a=[];if(Tn.isInterval(i))1===Tn.size(i)?a.push(qr.min(i)):o.push(qr.min(i),qr.max(i));else for(var s=0,u=i.length;s<u;){var g=s;for(s++;s<u&&i[s-1]+1===i[s];)s++;var c=s;if(c-g>2)o.push(i[g],i[c-1]);else for(var B=g;B<c;B++)a[a.length]=i[B]}e.push({unit:n,set:kn.ofSortedArray(a),ranges:mB.ofSortedRanges(o)})}}for(var l=new Map,Q=(s=0,e.length);s<Q;++s){var I,d,h=re(ae((I=e[s]).ranges),ae(I.set));l.has(h)?(d=l.get(h).groupedUnits).has(I.unit.invariantId)?d.get(I.unit.invariantId).push(I.unit.id):d.set(I.unit.invariantId,[I.unit.id]):((d=new Map).set(I.unit.invariantId,[I.unit.id]),l.set(h,{groupedUnits:d,set:I.set,ranges:I.ranges}))}var E=[];return l.forEach((function(A){var e=[];A.groupedUnits.forEach((function(A){return e.push(kn.ofUnsortedArray(A))})),e.sort((function(A,e){return A[0]-e[0]})),E.push({groupedUnits:e,set:A.set,ranges:A.ranges})})),{hash:A.structure.hashCode,elements:E}}function t(A,e){for(var t=[],r=0,n=A.length;r<n;++r){var i=A[r];e.unitMap.has(i)&&t.push(e.unitMap.get(i))}return t}function r(A){return Oc.internal.generator.bundleElement({groupedUnits:Oc.core.type.list(A.groupedUnits.map((function(A){return Oc.core.type.list(A)}))),ranges:Oc.core.type.list(A.ranges),set:Oc.core.type.list(A.set)})}A.Empty={hash:-1,elements:[]},A.fromSubStructure=function(A,t){return e(KB.toLociWithSourceUnits(KB.Singletons(A,t)))},A.fromSelection=function(A){return e(KB.toLociWithSourceUnits(A))},A.fromLoci=e,A.toLoci=function(A,e){-1!==A.hash&&A.hash!==e.hashCode&&new Error("Bundle not compatible with given structure");for(var r=[],n=0,i=A.elements;n<i.length;n++)for(var o=i[n],a=function(A){var n=t(A,e);if(0===n.length)return"continue";var i=void 0;if(0===o.ranges.length)i=o.set;else if(0===o.set.length)if(2===o.ranges.length)i=qr.ofRange(o.ranges[0],o.ranges[1]);else{var a=new Int32Array(mB.size(o.ranges));mB.forEach(o.ranges,(function(A,e){return a[e]=A})),i=kn.ofSortedArray(a)}else{var s=mB.size(o.ranges),u=new Int32Array(o.set.length+s);mB.forEach(o.ranges,(function(A,e){return u[e]=A})),u.set(o.set,s),i=kn.ofUnsortedArray(u)}for(var g=0,c=n;g<c.length;g++){var B=c[g];r.push({unit:B,indices:i})}},s=0,u=o.groupedUnits;s<u.length;s++)a(u[s]);return dI(e,r)},A.toStructure=function(A,e){-1!==A.hash&&A.hash!==e.hashCode&&new Error("Bundle not compatible with given structure");for(var r=[],n=0,i=A.elements;n<i.length;n++)for(var o=i[n],a=function(A){var n=t(A,e);if(0===n.length)return"continue";var i=n[0].elements,a=mB.size(o.ranges),s=o.set.length,u=new Int32Array(s+a),g=void 0;if(0===a){for(var c=0,B=s;c<B;++c)u[c]=i[o.set[c]];g=kn.ofSortedArray(u)}else if(0===s)mB.forEach(o.ranges,(function(A,e){return u[e]=i[A]})),g=kn.ofSortedArray(u);else if(kn.min(o.set)>mB.max(o.ranges)){for(mB.forEach(o.ranges,(function(A,e){return u[e]=i[A]})),c=0,B=s;c<B;++c)u[c+a]=i[o.set[c]];g=kn.ofSortedArray(u)}else if(mB.min(o.ranges)>kn.max(o.set)){for(c=0,B=s;c<B;++c)u[c]=i[o.set[c]];mB.forEach(o.ranges,(function(A,e){return u[e+s]=i[A]})),g=kn.ofSortedArray(u)}else{for(mB.forEach(o.ranges,(function(A,e){return u[e]=i[A]})),c=0,B=s;c<B;++c)u[c+a]=i[o.set[c]];g=kn.ofUnsortedArray(u)}for(var l=0,Q=n;l<Q.length;l++){var I=Q[l];r.push(I.getChild(g))}},s=0,u=o.groupedUnits;s<u.length;s++)a(u[s]);return BI.create(r,{parent:e})},A.toExpression=function(A){return Oc.internal.generator.bundle({elements:Oc.core.type.list(A.elements.map(r))})},A.areEqual=function(A,e){if(A.elements.length!==e.elements.length)return!1;for(var t=0,r=A.elements.length;t<r;++t){var n=A.elements[t],i=e.elements[t];if(n.groupedUnits.length!==i.groupedUnits.length)return!1;for(var o=0,a=i.groupedUnits.length;o<a;++o)if(!kn.areEqual(n.groupedUnits[o],i.groupedUnits[o]))return!1;if(!kn.areEqual(n.set,i.set))return!1;if(!mB.areEqual(n.ranges,i.ranges))return!1}return!0}}(jB||(jB={}));var sl,ul=function(){function A(A,e){this.currentElementStack=[],this.currentAtomicBondStack=[],this.currentStructureStack=[],this.inputStructureStack=[],this.timeCreated=G(),this.element=hc.create(void 0),this.currentStructure=void 0,this.atomicBond=new gl,this.currentSelection=void 0,this.inputStructure=A,this.timeoutMs=e&&e.timeoutMs||0,this.currentSelection=e&&e.currentSelection}return A.prototype.pushCurrentElement=function(){return this.currentElementStack[this.currentElementStack.length]=this.element,this.element=hc.create(void 0),this.element},A.prototype.popCurrentElement=function(){this.element=this.currentElementStack.pop()},A.prototype.pushCurrentBond=function(){return this.atomicBond&&this.currentAtomicBondStack.push(this.atomicBond),this.atomicBond=new gl,this.atomicBond},A.prototype.popCurrentBond=function(){this.currentAtomicBondStack.length>0?this.atomicBond=this.currentAtomicBondStack.pop():this.atomicBond=void 0},A.prototype.pushCurrentStructure=function(){this.currentStructure&&this.currentStructureStack.push(this.currentStructure)},A.prototype.popCurrentStructure=function(){this.currentStructureStack.length?this.currentStructure=this.currentStructureStack.pop():this.currentStructure=void 0},A.prototype.pushInputStructure=function(A){this.inputStructureStack.push(this.inputStructure),this.inputStructure=A},A.prototype.popInputStructure=function(){if(0===this.inputStructureStack.length)throw new Error("Must push before pop.");this.inputStructure=this.inputStructureStack.pop()},A.prototype.throwIfTimedOut=function(){if(0!==this.timeoutMs&&G()-this.timeCreated>this.timeoutMs)throw new Error("The query took too long to execute (> ".concat(this.timeoutMs/1e3,"s)."))},A.prototype.tryGetCurrentSelection=function(){if(!this.currentSelection)throw new Error("The current selection is not assigned.");return this.currentSelection},A}(),gl=function(){function A(){this.a=hc.create(void 0),this.aIndex=0,this.b=hc.create(void 0),this.bIndex=0,this.type=0,this.order=0,this.testFn=el}return A.prototype.setStructure=function(A){this.a.structure=A,this.b.structure=A},A.prototype.setTestFn=function(A){this.testFn=A||el},A.prototype.test=function(A,e){return!!this.testFn(A)||!!e&&(this.swap(),this.testFn(A))},A.prototype.swap=function(){var A=this.aIndex;this.aIndex=this.bIndex,this.bIndex=A;var e=this.a.unit;this.a.unit=this.b.unit,this.b.unit=e;var t=this.a.element;this.a.element=this.b.element,this.b.element=t},Object.defineProperty(A.prototype,"length",{get:function(){return hc.distance(this.a,this.b)},enumerable:!1,configurable:!0}),A}();!function(A){A.run=function(A,e,t){return A(new ul(e,t))}}(sl||(sl={}));var cl=function(){function A(A){this.source=A,this.set=Og(BI.hashCode,BI.areUnitIdsAndIndicesEqual),this.structures=[],this.allSingletons=!0}return A.prototype.add=function(A){A.elementCount&&(1!==A.elementCount&&(this.allSingletons=!1),this.set.add(A)&&(this.structures[this.structures.length]=A))},A.prototype.getSelection=function(){return this.allSingletons?KB.Singletons(this.source,qB(this.source,this.structures)):KB.Sequence(this.source,this.structures)},A}(),Bl=function(){function A(A){this.source=A,this.builders=[],this.builderMap=new Map}return A.prototype.add=function(A,e,t){var r=this.builderMap.get(A);r||(r=this.source.subsetBuilder(!0),this.builders[this.builders.length]=r,this.builderMap.set(A,r)),r.addToUnit(e,t)},A.prototype.allSingletons=function(){for(var A=0,e=this.builders.length;A<e;A++)if(this.builders[A].elementCount>1)return!1;return!0},A.prototype.singletonSelection=function(){for(var A=this.source.subsetBuilder(!0),e=hc.create(this.source),t=0,r=this.builders.length;t<r;t++)this.builders[t].setSingletonLocation(e),A.addToUnit(e.unit.id,e.element);return KB.Singletons(this.source,A.getStructure())},A.prototype.fullSelection=function(){for(var A=new Array(this.builders.length),e=0,t=this.builders.length;e<t;e++)A[e]=this.builders[e].getStructure();return KB.Sequence(this.source,A)},A.prototype.getSelection=function(){return 0===this.builders.length?KB.Empty(this.source):this.allSingletons()?this.singletonSelection():this.fullSelection()},A}(),ll=function(A){return KB.Sequence(A.inputStructure,[])},Ql=function(A){return KB.Singletons(A.inputStructure,A.inputStructure)};function Il(A){return fl(w(w({},A),{groupBy:function(A){return oQ.residue.key(A.element)}}))}function dl(A){return fl(w(w({},A),{groupBy:function(A){return oQ.chain.key(A.element)}}))}function hl(A){return!0}function El(A){return 0}function fl(A){if(!A||!(A.atomTest||A.residueTest||A.chainTest||A.entityTest||A.unitTest||A.groupBy))return Ql;if(A.atomTest&&!A.residueTest&&!A.chainTest&&!A.entityTest&&!A.unitTest&&!A.groupBy)return e=A.atomTest,function(A){var t=A.inputStructure,r=t.units,n=A.pushCurrentElement(),i=t.subsetBuilder(!0);n.structure=t;for(var o=0,a=r;o<a.length;o++){var s=a[o];n.unit=s;var u=s.elements;i.beginUnit(s.id);for(var g=0,c=u.length;g<c;g++)n.element=u[g],e(A)&&i.addElement(n.element);i.commitUnit(),A.throwIfTimedOut()}return A.popCurrentElement(),KB.Singletons(t,i.getStructure())};var e,t={unitTest:A.unitTest||hl,entityTest:A.entityTest||hl,chainTest:A.chainTest||hl,residueTest:A.residueTest||hl,atomTest:A.atomTest||hl,groupBy:A.groupBy||El};return A.groupBy?function(A){var e=A.unitTest,t=A.entityTest,r=A.chainTest,n=A.residueTest,i=A.atomTest,o=A.groupBy;return function(A){var a=A.inputStructure,s=a.units,u=A.pushCurrentElement(),g=new Bl(a);u.structure=a;for(var c=0,B=s;c<B.length;c++){var l=B[c];if(u.unit=l,e(A)){var Q=l.elements,I=l.model;if(0===l.kind)for(var d=vi.transientSegments(I.atomicHierarchy.chainAtomSegments,Q),h=vi.transientSegments(I.atomicHierarchy.residueAtomSegments,Q);d.hasNext;){var E=d.move();if(u.element=Q[E.start],t(A)&&r(A))for(h.setSegment(E);h.hasNext;){var f=h.move();if(u.element=Q[f.start],n(A))for(var C=f.start,p=f.end;C<p;C++)u.element=Q[C],i(A)&&g.add(o(A),l.id,u.element)}}else{var m=I.coarseHierarchy.spheres.chainElementSegments;for(d=vi.transientSegments(m,Q);d.hasNext;)if(E=d.move(),u.element=Q[E.start],t(A)&&r(A))for(C=E.start,p=E.end;C<p;C++)u.element=Q[C],n(A)&&g.add(o(A),l.id,u.element)}A.throwIfTimedOut()}}return A.popCurrentElement(),g.getSelection()}}(t):function(A){var e=A.unitTest,t=A.entityTest,r=A.chainTest,n=A.residueTest,i=A.atomTest;return function(A){var o=A.inputStructure,a=o.units,s=A.pushCurrentElement(),u=o.subsetBuilder(!0),g=n===hl&&i===hl,c=i===hl;s.structure=o;for(var B=0,l=a;B<l.length;B++){var Q=l[B];if(s.unit=Q,e(A)){var I=Q.elements,d=Q.model;if(u.beginUnit(Q.id),0===Q.kind)for(var h=vi.transientSegments(Q.model.atomicHierarchy.chainAtomSegments,I),E=vi.transientSegments(Q.model.atomicHierarchy.residueAtomSegments,I);h.hasNext;){var f=h.move();if(s.element=I[f.start],t(A)&&r(A))if(g)u.addElementRange(I,f.start,f.end);else for(E.setSegment(f);E.hasNext;){var C=E.move();if(s.element=I[C.start],n(A))if(c)u.addElementRange(I,C.start,C.end);else for(var p=C.start,m=C.end;p<m;p++)s.element=I[p],i(A)&&u.addElement(s.element)}}else{var y=d.coarseHierarchy.spheres.chainElementSegments;for(h=vi.transientSegments(y,I);h.hasNext;)if(f=h.move(),s.element=I[f.start],t(A)&&r(A))if(g)u.addElementRange(I,f.start,f.end);else for(p=f.start,m=f.end;p<m;p++)s.element=I[p],n(A)&&u.addElement(s.element)}u.commitUnit(),A.throwIfTimedOut()}}return A.popCurrentElement(),KB.Singletons(o,u.getStructure())}}(t)}function Cl(A,e,t){for(var r=new Int32Array(e.length),n=0,i=e.length;n<i;n++)r[n]=A.elements[e[n]];return BI.create([A.getChild(kn.ofSortedArray(r))],{parent:t})}function pl(A,e){return function(t){var r=t.inputStructure.units,n=KB.LinearBuilder(t.inputStructure);if(A&&0!==A.length){for(var i=zg.create(),o=0;o<A.length;o++)zg.add(i,A[o],A[o]);for(var a=0,s=r;a<s.length;a++)if(h=s[a],TB.isAtomic(h))for(var u=h.rings,g=0,c=i.array;g<c.length;g++){var B=c[g];if(u.byFingerprint.has(B))for(var l=0,Q=u.byFingerprint.get(B);l<Q.length;l++)C=Q[l],e&&!u.aromaticRings.includes(C)||n.add(Cl(h,u.all[C],t.inputStructure))}}else for(var I=0,d=r;I<d.length;I++){var h=d[I];if(TB.isAtomic(h))if(e)for(var E=0,f=h.rings.aromaticRings;E<f.length;E++){var C=f[E];n.add(Cl(h,h.rings.all[C],t.inputStructure))}else for(var p=0,m=h.rings.all;p<m.length;p++){C=m[p];n.add(Cl(h,C,t.inputStructure))}}return n.getSelection()}}function ml(A,e,t){return void 0===t&&(t=!1),function(r){var n=A(r);if(0===KB.structureCount(n))return n;var i=t?Al(r.inputStructure,KB.unionStructure(n)):KB.unionStructure(n);if(0===i.elementCount)return KB.Empty(r.inputStructure);r.throwIfTimedOut(),r.pushInputStructure(i);var o=e(r);return r.popInputStructure(),KB.withInputStructure(o,r.inputStructure)}}function yl(A){return function(e){var t=e.inputStructure,r=t.interUnitBonds,n=KB.UniqueBuilder(e.inputStructure);e.pushCurrentBond();var i=e.atomicBond;i.setTestFn(A),i.setStructure(t);for(var o=0,a=t.units;o<a.length;o++){var s=a[o];if(0===s.kind){var u=s.bonds,g=u.offset,c=u.b,B=u.edgeProps,l=B.flags,Q=B.order;i.a.unit=s,i.b.unit=s;for(var I=0,d=s.elements.length;I<d;I++){i.aIndex=I,i.a.element=s.elements[I];for(var h=g[I],E=g[I+1];h<E;h++)i.bIndex=c[h],i.b.element=s.elements[c[h]],i.type=l[h],i.order=Q[h],i.test(e,!1)&&((p=t.subsetBuilder(!1)).beginUnit(s.id),p.addElement(i.a.element),p.addElement(i.b.element),p.commitUnit(),n.add(p.getStructure()))}}}for(var f=0,C=r.edges;f<C.length;f++){var p,m=C[f];i.a.unit=t.unitMap.get(m.unitA),i.a.element=i.a.unit.elements[m.indexA],i.aIndex=m.indexA,i.b.unit=t.unitMap.get(m.unitA),i.b.element=i.b.unit.elements[m.indexB],i.bIndex=m.indexB,i.order=m.props.order,i.type=m.props.flag,i.test(e,!1)&&((p=t.subsetBuilder(!1)).addToUnit(i.a.unit.id,i.a.element),p.addToUnit(i.b.unit.id,i.b.element),n.add(p.getStructure()))}return e.popCurrentBond(),n.getSelection()}}var vl,Dl=function(){function A(A){this.parent=A,this.ids=[],this.unitMap=Fi.Mutable(),this.parentId=-1,this.currentUnit=zg.create(),this.elementCount=0}return A.prototype.addToUnit=function(A,e){var t=this.unitMap.get(A);if(t)zg.add(t,e,e)&&this.elementCount++;else{var r=zg.create();zg.add(r,e,e),this.unitMap.set(A,r),this.ids[this.ids.length]=A,this.elementCount++}},A.prototype.has=function(A,e){var t=this.unitMap.get(A);return!!t&&zg.has(t,e)},A.prototype.beginUnit=function(A){this.parentId=A,this.unitMap.has(A)?this.currentUnit=this.unitMap.get(A):this.currentUnit=this.currentUnit.array.length>0?zg.create():this.currentUnit},A.prototype.addElement=function(A){zg.add(this.currentUnit,A,A)&&this.elementCount++},A.prototype.commitUnit=function(){0===this.currentUnit.array.length||this.unitMap.has(this.parentId)||(this.ids[this.ids.length]=this.parentId,this.unitMap.set(this.parentId,this.currentUnit),this.parentId=-1)},A.prototype.getStructure=function(){if(this.isEmpty)return BI.Empty;var A=[];zA(this.ids);for(var e=JQ.UnitEquivalenceBuilder(),t=0,r=this.ids.length;t<r;t++){var n=this.ids[t],i=this.parent.unitMap.get(n),o=this.unitMap.get(n).array,a=o.length;if(o.length!==i.elements.length){a>1&&zA(o);var s=i.getChild(kn.ofSortedArray(o)),u=e.add(s.id,s);s!==u&&(s=u.applyOperator(s.id,s.conformation.operator,!0)),A[A.length]=s}else A[A.length]=i,e.add(i.id,i)}return BI.create(A,{parent:this.parent})},Object.defineProperty(A.prototype,"isEmpty",{get:function(){return 0===this.elementCount},enumerable:!1,configurable:!0}),A}(),bl=-27.888;function wl(A,e,t,r){var n=gA.distance(A,r),i=gA.distance(e,r),o=gA.distance(e,t),a=gA.distance(A,t),s=bl/n-bl/i+(bl/o-bl/a);return s<-9.9?-9.9:s}!function(A){A.is=D.has,A.create=D.create}(vl||(vl={}));var Fl=function(A,e,t){this.partner1=Math.min(A,e),this.partner2=Math.max(A,e),this.type=t};function Ul(A,e){if(e.type!==A.type)return!1;if(e.partner1!==A.firstEnd+1)return!1;if(0===e.type){if(e.partner2===A.secondEnd+1)return!0}else if(e.partner2===A.secondStart-1)return!0;return!1}function Sl(A,e){return A.type===e.type&&e.firstStart-A.firstEnd<6&&A.firstStart<e.firstStart&&0===e.nextLadder&&(0===A.type?Nl(A,e):Nl(e,A))}function Nl(A,e){return e.secondStart-A.secondEnd>0&&(e.secondStart-A.secondEnd<6&&e.firstStart-A.firstEnd<3||e.secondStart-A.secondEnd<3)}function Rl(A){return vl.is(A,8)||vl.is(A,1)||vl.is(A,16)}var Hl,Gl={oldDefinition:ir.Boolean(!0,{description:"Whether to use the old DSSP convention for the annotation of turns and helices, causes them to be two residues shorter"}),oldOrdering:ir.Boolean(!0,{description:"Alpha-helices are preferred over 3-10 helices"})};function Ml(A,e){return F(this,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m;return U(this,(function(y){for(t=function(A){for(var e=A.model.atomicHierarchy.index,t=A.proteinElements,r=A.residueIndex,n=t.length,i=new Uint32Array(n),o=new Int32Array(n),a=new Int32Array(n),s=new Int32Array(n),u=new Int32Array(n),g=0;g<n;++g){var c=r[t[g]];i[g]=c,o[g]=e.findAtomOnResidue(c,"C"),a[g]=e.findAtomOnResidue(c,"H"),s[g]=e.findAtomOnResidue(c,"O"),u[g]=e.findAtomOnResidue(c,"N")}return{residueIndices:kn.ofSortedArray(i),cIndices:o,hIndices:a,oIndices:s,nIndices:u}}(A),r=t.residueIndices,n=function(A,e){for(var t=A.model.atomicConformation,r=t.x,n=t.y,i=t.z,o=A.model.atomicHierarchy.derived.residue.traceElementIndex,a=new Uint32Array(e.length),s=0,u=e.length;s<u;++s)a[s]=o[e[s]];var g={x:r,y:n,z:i,indices:kn.ofSortedArray(a)};return Rs(g,VB(g))}(A,r),i=function(A,e,t){for(var r=e.residueIndices,n=e.cIndices,i=e.hIndices,o=e.nIndices,a=e.oIndices,s=A.model.atomicHierarchy.index,u=A.conformation.invariantPosition,g=A.model.atomicHierarchy.derived.residue.traceElementIndex,c=r.length,B=[],l=[],Q=[],I=gA(),d=gA(),h=gA(),E=gA(),f=gA(),C=gA(),p=gA(),m=0,y=r.length;m<y;++m){var v=m,D=r[m],b=a[v],w=n[v],F=g[D];if(-1!==b&&-1!==w&&-1===s.findAtomOnResidue(D,"OXT")){u(b,I),u(w,d),u(F,h);for(var U=t.find(h[0],h[1],h[2],9),S=U.indices,N=U.count,R=0;R<N;++R){var H=S[R];if(H!==v&&H-1!==v&&H+1!==v){var G=o[H];if(-1!==G){u(G,E);var M=i[H];if(-1===M){if(0===H)continue;var L=H-1,x=a[L],k=n[L];if(-1===x||-1===k)continue;u(x,p),u(k,C),gA.sub(f,C,p);var Y=gA.distance(p,C);gA.scaleAndAdd(f,E,f,1/Y)}else u(M,f);var _=wl(I,d,E,f);_>-.5||(B[B.length]=v,l[l.length]=H,Q[Q.length]=_)}}}}}return function(A,e,t,r){for(var n=new to.DirectedEdgeBuilder(A,e,t),i=new Float32Array(n.slotCount),o=0,a=n.edgeCount;o<a;o++)n.addNextEdge(),n.assignProperty(i,r[o]);return n.createGraph({energies:r})}(c,B,l,Q)}(A,t,n),o=r.length,a=new Uint32Array(o),s=function(A,e){var t=e.cIndices,r=e.nIndices,n=e.residueIndices,i=A.conformation.position,o=A.model.atomicHierarchy.index,a=A.model.atomicHierarchy.derived.residue.traceElementIndex,s=n.length,u=function(A,e){return-1===A?gA.setNaN(e):i(A,e)},g=gA(),c=gA(),B=gA(),l=gA(),Q=gA(),I=gA(),d=gA(),h=gA(),E=gA();if(0===s)return{phi:new Float32Array(0),psi:new Float32Array(0)};var f=new Float32Array(s-1),C=new Float32Array(s-1);u(-1,g),u(-1,c),u(-1,B),u(t[0],l),u(a[n[0]],Q),u(r[0],I),u(t[1],d),u(a[n[1]],h),u(r[1],E);for(var p=0;p<s-1;++p)-1===o.findAtomOnResidue(n[p],"OXT")&&(f[p]=tA(gA.dihedralAngle(g,I,Q,l)),C[p]=tA(gA.dihedralAngle(I,Q,l,E)),g=l,c=Q,B=I,l=d,Q=h,I=E,u(t[p+1],d),u(a[n[p+1]],h),u(r[p+1],E));return{phi:f,psi:C}}(A,t),u=[],g=[],c=e.oldDefinition?kl:_l,B=e.oldOrdering?Yl:Vl,function(A){for(var e=A.proteinInfo,t=A.hbonds,r=A.flags,n=[1024,2048,4096,128,256,512],i=0;i<3;i++)for(var o=0,a=e.residueIndices.length-1;o<a;++o)if(-1!==t.getDirectedEdgeIndex(o,o+i+3))if(r[o]|=n[i+3]|n[i],A.params.oldDefinition)for(var s=1;s<i+3;++s)r[o+s]|=64|n[i+3];else for(s=0;s<=i+3;++s)r[o+s]|=64|n[i+3]}(l={params:e,getResidueFlag:c,getFlagName:B,unit:A,proteinInfo:t,flags:a,hbonds:i,torsionAngles:s,ladders:u,bridges:g}),function(A){for(var e=A.flags,t=A.proteinInfo.residueIndices.length,r=[1024,2048,4096,128,256,512],n=[0,0,0,8,1,16],i=A.params.oldOrdering?[4,3,5]:[3,4,5],o=0;o<i.length;o++)for(var a=i[o],s=1,u=t-a;s<u;s++){var g=vl.create(e[s]),c=vl.create(e[s-1]),B=vl.create(e[s+1]);if(A.params.oldOrdering){if(3===a&&(vl.is(g,1)||vl.is(B,1))||5===a&&(vl.is(g,1)||vl.is(g,8)||vl.is(B,1)||vl.is(B,8)))continue}else if(4===a&&(vl.is(g,8)||vl.is(B,8))||5===a&&(vl.is(g,1)||vl.is(g,8)||vl.is(B,1)||vl.is(B,8)))continue;if(vl.is(g,r[a])&&vl.is(g,r[a-3])&&vl.is(c,r[a])&&vl.is(c,r[a-3]))if(A.params.oldDefinition)for(var l=0;l<a;l++)e[s+l]|=n[a];else for(l=-1;l<=a;l++)e[s+l]|=n[a]}}(l),function(A){var e=A.unit,t=A.flags,r=A.proteinInfo,n=e.conformation.position,i=e.model.atomicHierarchy.derived.residue.traceElementIndex,o=r.residueIndices,a=r.nIndices,s=o.length,u=function(A,e){return-1===A?gA.setNaN(e):n(A,e)},g=gA(),c=gA(),B=gA(),l=gA(),Q=gA(),I=gA(),d=gA();A:for(var h=2;h<s-2;h++){for(var E=0;E<4;E++){var f=h+E-2;if(u(i[f],l),u(a[f+1],Q),gA.squaredDistance(l,Q)>6.25)continue A}var C=o[h-2],p=o[h],m=o[h+2],y=i[C],v=i[p],D=i[m];u(y,g),u(v,c),u(D,B),gA.sub(I,g,c),gA.sub(d,c,B);var b=tA(gA.angle(I,d));b&&b>70&&(t[h]|=32)}}(l),function(A){for(var e,t,r=A.proteinInfo,n=A.hbonds,i=A.flags,o=A.bridges,a=n.offset,s=n.b,u=0,g=r.residueIndices.length;u<g;++u)for(var c=a[u],B=a[u+1];c<B;c++){var l=s[c];u>l||((e=u+1)!==(t=l)&&-1!==n.getDirectedEdgeIndex(t,e+1)&&(i[e]|=2,i[t]|=2,o[o.length]=new Fl(e,t,0)),(e=u)!==(t=l-1)&&-1!==n.getDirectedEdgeIndex(t-1,e)&&(i[e]|=2,i[t]|=2,o[o.length]=new Fl(t,e,0)),(e=u)!==(t=l)&&-1!==n.getDirectedEdgeIndex(t,e)&&(i[e]|=2,i[t]|=2,o[o.length]=new Fl(t,e,1)),(e=u+1)!==(t=l-1)&&-1!==n.getDirectedEdgeIndex(t-1,e+1)&&(i[e]|=2,i[t]|=2,o[o.length]=new Fl(t,e,1)))}o.sort((function(A,e){return A.partner1>e.partner1?1:A.partner1<e.partner1?-1:0}))}(l),function(A){for(var e=A.bridges,t=A.ladders,r=0;r<e.length;r++){for(var n=e[r],i=!1,o=0;o<t.length;o++){var a=t[o];Ul(a,n)&&(i=!0,a.firstEnd++,0===n.type?a.secondEnd++:a.secondStart--)}i||(t[t.length]={previousLadder:0,nextLadder:0,firstStart:n.partner1,firstEnd:n.partner1,secondStart:n.partner2,secondEnd:n.partner2,type:n.type})}for(var s=0;s<t.length;s++)for(var u=t[s],g=s;g<t.length;g++){var c=t[g];Sl(u,c)&&(u.nextLadder=g,c.previousLadder=s)}}(l),function(A){for(var e=A.ladders,t=A.flags,r=0;r<e.length;r++){for(var n=e[r],i=n.firstStart;i<=n.firstEnd;i++){var o=n.firstStart-i,a=n.secondStart-o;n.firstStart!==n.firstEnd?(t[i]|=4,t[a]|=4):(!Rl(t[i])&&vl.is(t[i],4)&&(t[i]|=2),!Rl(t[a])&&vl.is(t[a],4)&&(t[a]|=2))}if(0!==n.nextLadder){var s=e[n.nextLadder];for(i=n.firstStart;i<=s.firstEnd;i++)t[i]|=4;if(0===n.type)for(i=n.secondStart;i<=s.secondEnd;i++)t[i]|=4;else for(i=s.secondEnd;i<=n.secondStart;i++)t[i]|=4}}}(l),Q=function(A,e){for(var t=new Uint32Array(A.length),r=0,n=A.length;r<n;++r){var i=vl.create(A[r]);t[r]=e(i)}return t}(a,c),I=new Uint32Array(o),d=[],h=[],E=function(A){return 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g=vi.transientSegments(a,u);g.hasNext;)for(var c=g.move().index,B=a.offsets[c],l=a.offsets[c+1];B<l;B++)kn.has(s,B)&&r.addElement(B);r.commitUnit(),A.throwIfTimedOut()}else r.setUnit(o.id,o.elements)}return r.getStructure()}function IQ(A){return function(e){var t=A(e);if(KB.isSingleton(t))return KB.Singletons(e.inputStructure,QQ(e,e.inputStructure,t.structure));for(var r=new cl(e.inputStructure),n=0,i=t.structures;n<i.length;n++){var o=i[n];r.add(QQ(e,e.inputStructure,o))}return r.getSelection()}}function dQ(A,e,t,r){for(var n=new Dl(e),i=e.lookup3d,o=r.radius,a=0,s=t.units;a<s.length;a++){for(var u=s[a],g=u.conformation,c=g.x,B=g.y,l=g.z,Q=u.elements,I=0,d=Q.length;I<d;I++){var h=Q[I];i.findIntoBuilder(c(h),B(h),l(h),o,n)}A.throwIfTimedOut()}return r.wholeResidues?QQ(A,e,n.getStructure()):n.getStructure()}function hQ(A,e,t,r){var n=new Dl(e),i=e.lookup3d,o=r.elementRadius,a=r.elementRadiusClosure,s=r.sourceMaxRadius,u=r.radius;A.pushCurrentElement(),A.element.structure=t;for(var g=0,c=t.units;g<c.length;g++){var B=c[g];A.element.unit=B;for(var l=B.conformation,Q=l.x,I=l.y,d=l.z,h=B.elements,E=0,f=h.length;E<f;E++){var C=h[E];A.element.element=C;var p=o(A);i.findIntoBuilderWithRadius(Q(C),I(C),d(C),p,s,u,a,n)}A.throwIfTimedOut()}return A.popCurrentElement(),r.wholeResidues?QQ(A,e,n.getStructure()):n.getStructure()}function EQ(A,e){return function(t){return A.element.structure=t.structure,A.element.unit=t.unit,A.element.element=t.element,e(A)}}function fQ(A,e){var t=0;A.element.structure=A.inputStructure;for(var r=0,n=A.inputStructure.units;r<n.length;r++){var i=n[r];A.element.unit=i;for(var o=i.elements,a=0,s=o.length;a<s;a++){var u=o[a];A.element.element=u;var g=e(A);g>t&&(t=g)}}return A.throwIfTimedOut(),t}function CQ(A,e){return function(t){var r=A(t);if(e.elementRadius){var n=w(w({},e),{elementRadius:e.elementRadius,elementRadiusClosure:EQ(t,e.elementRadius),sourceMaxRadius:fQ(t,e.elementRadius)});if(KB.isSingleton(r)){var i=hQ(t,t.inputStructure,r.structure,n);return KB.Singletons(t.inputStructure,i)}for(var o=new cl(t.inputStructure),a=0,s=r.structures;a<s.length;a++){var u=s[a];o.add(hQ(t,t.inputStructure,u,n))}return o.getSelection()}if(KB.isSingleton(r))return i=dQ(t,t.inputStructure,r.structure,e),KB.Singletons(t.inputStructure,i);o=new cl(t.inputStructure);for(var g=0,c=r.structures;g<c.length;g++)u=c[g],o.add(dQ(t,t.inputStructure,u,e));return o.getSelection()}}function pQ(A,e){return function(t){var r=A(t);if(0===KB.structureCount(r))return r;var n=KB.UniqueBuilder(t.inputStructure),i=function(A){return n.add(A)};return KB.forEach(r,(function(A,r){t.pushInputStructure(A),KB.forEach(e(t),i),t.popInputStructure(),r%10==0&&t.throwIfTimedOut()})),n.getSelection()}}function mQ(A,e){return function(t){var r=A(t);if(0===KB.structureCount(r))return r;var n=e(t);if(0===KB.structureCount(n))return KB.Empty(t.inputStructure);var i=KB.unionStructure(n),o=KB.UniqueBuilder(t.inputStructure);return KB.forEach(r,(function(A,e){var r=$B(i,A);0!==r.elementCount&&o.add(r),e%50==0&&t.throwIfTimedOut()})),o.getSelection()}}function yQ(A,e){return function(t){var r=A(t);if(0===KB.structureCount(r))return r;var n=e(t);if(0===KB.structureCount(n))return r;var i=KB.unionStructure(n),o=KB.UniqueBuilder(t.inputStructure);return KB.forEach(r,(function(A,e){var r=Al(A,i);0!==r.elementCount&&o.add(r),e%50==0&&t.throwIfTimedOut()})),o.getSelection()}}function vQ(A){return function(e){var t=KB.LinearBuilder(e.inputStructure);return t.add(KB.unionStructure(A(e))),t.getSelection()}}function DQ(A,e){return function(t){var r=A(t),n=new Map,i=[];t.pushCurrentElement(),KB.forEach(r,(function(A,r){t.element.structure=A;for(var o=0,a=A.units;o<a.length;o++){var s=a[o];t.element.unit=s;for(var u=s.elements,g=0,c=u.length;g<c;g++){t.element.element=u[g];var B=e(t),l=void 0;n.has(B)?l=n.get(B):(l=zg.create(),n.set(B,l)),zg.add(l,r,r)}}i[r]=t.inputStructure.subsetBuilder(!0),r%10==0&&t.throwIfTimedOut()})),t.element.structure=t.inputStructure;for(var o=0,a=t.inputStructure.units;o<a.length;o++){var s=a[o];t.element.unit=s;for(var u=s.elements,g=0,c=u.length;g<c;g++){t.element.element=u[g];var B=e(t);if(n.has(B))for(var l=n.get(B).array,Q=0,I=l.length;Q<I;Q++)i[l[Q]].addToUnit(s.id,u[g])}}t.popCurrentElement();for(var d=KB.UniqueBuilder(t.inputStructure),h=0,E=i;h<E.length;h++){var f=E[h];d.add(f.getStructure())}return d.getSelection()}}function bQ(A){var e=A.query,t=A.layerCount,r=A.wholeResidues,n=A.bondTest,i=A.fixedPoint,o=Math.max(t,0);return function(A){var t=KB.UniqueBuilder(A.inputStructure),a=e(A);return A.pushCurrentBond(),A.atomicBond.setTestFn(n),KB.forEach(a,(function(e,n){var a=e;if(i)for(;;){var s=a.elementCount;if((a=wQ(A,r,a)).elementCount===s)break}else for(var u=0;u<o;u++)a=wQ(A,r,a);t.add(a),n%10==0&&A.throwIfTimedOut()})),A.popCurrentBond(),t.getSelection()}}function wQ(A,e,t){var r=function(A,e){for(var t=A.inputStructure,r=t.interUnitBonds,n=new Dl(t),i=A.atomicBond,o=0,a=e.units;o<a.length;o++){var s=a[o];if(0===s.kind){var u=t.unitMap.get(s.id),g=u.bonds,c=g.offset,B=g.b,l=g.edgeProps,Q=l.flags,I=l.order;for(i.setStructure(t),i.a.unit=u,i.b.unit=u,R=0,H=s.elements.length;R<H;R++){n.addToUnit(s.id,s.elements[R]);for(var d=kn.indexOf(u.elements,s.elements[R]),h=c[d],E=c[d+1];h<E;h++){var f=B[h],C=u.elements[f];kn.has(s.elements,C)||n.has(s.id,C)||(i.aIndex=d,i.a.element=s.elements[R],i.bIndex=f,i.b.element=C,i.type=Q[h],i.order=I[h],i.test(A,!0)&&n.addToUnit(s.id,C))}}for(var p=0,m=r.getConnectedUnits(u.id);p<m.length;p++)for(var y=m[p],v=e.unitMap.get(y.unitB),D=t.unitMap.get(y.unitB),b=0,w=y.connectedIndices;b<w.length;b++){var F=w[b];if(kn.has(s.elements,u.elements[F]))for(var U=0,S=y.getEdges(F);U<S.length;U++){var N=S[U];C=D.elements[N.indexB],v&&kn.has(v.elements,C)||n.has(y.unitB,C)||(i.a.unit=u,i.aIndex=F,i.a.element=u.elements[F],i.b.unit=D,i.bIndex=N.indexB,i.b.element=C,i.type=N.props.flag,i.order=N.props.order,i.test(A,!0)&&n.addToUnit(y.unitB,C))}}}else{n.beginUnit(s.id);for(var R=0,H=s.elements.length;R<H;R++)n.addElement(s.elements[R]);n.commitUnit()}}return n.getStructure()}(A,t);return e?QQ(A,A.inputStructure,r):r}function FQ(A){var e=A.query,t=A.radius,r=A.includeWater;return function(A){for(var n=KB.unionStructure(e(A)),i=QQ(A,A.inputStructure,dQ(A,A.inputStructure,n,{radius:t})),o=function(A){var e=A.models[0],t=new Set;if(!dc.is(e.sourceData))return t;for(var r=e.sourceData.data.db.pdbx_molecule,n=r._rowCount,i=r.asym_id,o=0;o<n;o++)t.add(i.value(o));return t}(A.inputStructure),a=function(A){var e,t,r=A.models[0],n=new GQ;if(!dc.is(r.sourceData))return n;for(var i=r.sourceData.data.db.struct_conn,o=i.conn_type_id,a=i.ptnr1_label_asym_id,s=i.ptnr1_label_comp_id,u=i.ptnr1_label_seq_id,g=i.ptnr1_symmetry,c=i.pdbx_ptnr1_label_alt_id,B=i.pdbx_ptnr1_PDB_ins_code,l=i.ptnr2_label_asym_id,Q=i.ptnr2_label_comp_id,I=i.ptnr2_label_seq_id,d=i.ptnr2_symmetry,h=i.pdbx_ptnr2_label_alt_id,E=i.pdbx_ptnr2_PDB_ins_code,f=0;f<i._rowCount;f++){var C=o.value(f);if("covale"===C||"metalc"===C){var p={label_asym_id:a.value(f),label_comp_id:s.value(f),label_seq_id:u.value(f),label_alt_id:c.value(f),ins_code:B.value(f),operator_name:null!==(e=g.value(f))&&void 0!==e?e:"1_555"},m={label_asym_id:l.value(f),label_comp_id:Q.value(f),label_seq_id:I.value(f),label_alt_id:h.value(f),ins_code:E.value(f),operator_name:null!==(t=d.value(f))&&void 0!==t?t:"1_555"};n.addEdge(p,m)}}return n}(A.inputStructure),s=hc.create(i),u=new Map,g=new aQ({checkOperator:!0}),c=0,B=i.units;c<B.length;c++)if(0===(U=B[c]).kind){s.unit=U;for(var l=U.elements,Q=vi.transientSegments(U.model.atomicHierarchy.chainAtomSegments,l),I=vi.transientSegments(U.model.atomicHierarchy.residueAtomSegments,l);Q.hasNext;){var d=Q.move();s.element=l[d.start];var h=oQ.chain.label_asym_id(s),E=oQ.unit.operator_name(s);if(o.has(h))u.has(h)?Cr(u.get(h),E):u.set(h,[E]);else{var f=oQ.entity.type(s);if("water"!==f&&"polymer"!==f)for(I.setSegment(d);I.hasNext;){var C=I.move();s.element=l[C.start],a.addComponent(aQ.getEntryFromLocation(s),g)}}}A.throwIfTimedOut()}for(var p=A.inputStructure.subsetBuilder(!0),m=0,y=A.inputStructure.units;m<y.length;m++)if(0===(U=y[m]).kind){for(s.unit=U,l=U.elements,Q=vi.transientSegments(U.model.atomicHierarchy.chainAtomSegments,l),I=vi.transientSegments(U.model.atomicHierarchy.residueAtomSegments,l),p.beginUnit(U.id);Q.hasNext;)if(d=Q.move(),s.element=l[d.start],h=oQ.chain.label_asym_id(s),E=oQ.unit.operator_name(s),u.has(h)&&u.get(h).indexOf(E)>=0)p.addElementRange(l,d.start,d.end);else if(g.hasLabelAsymId(h))for(I.setSegment(d);I.hasNext;)C=I.move(),s.element=l[C.start],g.has(s)&&p.addElementRange(l,C.start,C.end);p.commitUnit(),A.throwIfTimedOut()}var v=qB(A.inputStructure,[p.getStructure(),n]);if(r){for(var D=new Dl(A.inputStructure),b=A.inputStructure.lookup3d,w=0,F=v.units;w<F.length;w++){for(var U,S=(U=F[w]).conformation,N=S.x,R=S.y,H=S.z,G=0,M=(l=U.elements).length;G<M;G++){var L=l[G];b.findIntoBuilderIf(N(L),R(L),H(L),t,D,SQ),D.addToUnit(U.id,L)}A.throwIfTimedOut()}return KB.Sequence(A.inputStructure,[D.getStructure()])}return KB.Sequence(A.inputStructure,[v])}}var UQ=oQ.entity.type;function SQ(A){return"water"===UQ(A)}var NQ,RQ,HQ,GQ=function(){function A(){this.vertices=new Map,this.edges=new Map}return A.prototype.addVertex=function(A,e){this.vertices.has(e)||(this.vertices.set(e,A),this.edges.set(e,[]))},A.prototype.addEdge=function(A,e){var t=aQ.getLabel(A),r=aQ.getLabel(e);this.addVertex(A,t),this.addVertex(e,r),Cr(this.edges.get(t),r),Cr(this.edges.get(r),t)},A.prototype.addComponent=function(A,e){var t=aQ.getLabel(A);if(this.vertices.has(t)){var r=new Set,n=new Set,i=[t];for(n.add(t),e.add(A);i.length>0;){var o=i.pop();r.add(o);for(var a=this.vertices.get(o),s=0,u=this.edges.get(o);s<u.length;s++){var g=u[s];if(!r.has(g)&&(i.push(g),!n.has(g))){n.add(g);var c=this.vertices.get(g);a.operator_name===c.operator_name?e.add(w(w({},c),{operator_name:A.operator_name})):e.add(c)}}}}else e.add(A)},A}();function MQ(A,e){return function(t){var r=A(t),n=KB.LinearBuilder(t.inputStructure);return t.pushCurrentElement(),KB.forEach(r,(function(A,r){t.currentStructure=A,e(t)&&n.add(A),r%100&&t.throwIfTimedOut()})),t.popCurrentStructure(),n.getSelection()}}function LQ(A){return function(e){var t=A(e),r=KB.LinearBuilder(e.inputStructure);if("singletons"===t.kind){if(t.structure.elementCount>0){var n=t.structure.units[0],i=BI.create([n.getChild(kn.ofSingleton(n.elements[0]))],{parent:e.inputStructure});r.add(i)}}else t.structures.length>0&&r.add(t.structures[0]);return r.getSelection()}}function xQ(A,e,t){var r=A.currentStructure.units,n=A.pushCurrentElement();n.structure=A.currentStructure;for(var i=0,o=r;i<o.length;i++){var a=o[i];n.unit=a;var s=a.elements,u=void 0;if(u=TB.isAtomic(a)?e.atomic:e.coarse){for(var g=0,c=s.length;g<c;g++)n.element=s[g],t.add(u(A));A.throwIfTimedOut()}}return A.popCurrentElement(),t}function kQ(A,e,t){return function(r){var n=A(r),i=function(A,e,t){var r=new Set,n=e(A);return A.pushCurrentElement(),KB.forEach(n,(function(e,n){A.currentStructure=e,xQ(A,t,r),n%10&&A.throwIfTimedOut()})),A.popCurrentElement(),r}(r,e,t),o=KB.LinearBuilder(r.inputStructure);return r.pushCurrentStructure(),KB.forEach(n,(function(A,e){r.currentStructure=A;var n=xQ(r,t,new Set);oa.isSuperset(n,i)&&o.add(A),e%10&&r.throwIfTimedOut()})),r.popCurrentStructure(),o.getSelection()}}function YQ(A,e){return function(t){var r=KB.unionStructure(e(t)),n=KB.LinearBuilder(t.inputStructure);return KB.forEach(A(t),(function(A,e){XB(r,A)&&n.add(A),e%10&&t.throwIfTimedOut()})),n.getSelection()}}function _Q(A){return function(e){var t={queryCtx:e,selection:A.query(e),target:A.target(e),maxRadius:A.maxRadius,minRadius:A.minRadius?Math.max(0,A.minRadius):0,elementRadius:A.elementRadius,invert:!!A.invert};return 0===t.minRadius&&void 0===A.minRadius?function(A){var e=A.queryCtx,t=A.selection,r=A.target,n=A.maxRadius,i=A.invert,o=KB.unionStructure(r).lookup3d,a=KB.LinearBuilder(e.inputStructure),s=gA.zero();return KB.forEach(t,(function(A,t){for(var r=A.units,u=!1,g=0,c=r.length;g<c;g++){for(var B=r[g],l=B.elements,Q=B.conformation,I=Q.position,d=Q.r,h=0,E=l.length;h<E;h++){var f=l[h];if(I(f,s),o.check(s[0],s[1],s[2],n+d(f))){u=!0;break}}if(u)break}i&&(u=!u),u&&a.add(A),t%10==0&&e.throwIfTimedOut()})),a.getSelection()}(t):0===t.minRadius?function(A){var e=A.queryCtx,t=A.selection,r=A.target,n=A.maxRadius,i=A.invert,o=A.elementRadius,a=KB.unionStructure(r),s=KB.LinearBuilder(e.inputStructure);return e.pushCurrentElement(),KB.forEach(t,(function(A,t){var r=function(A,e,t,r,n){return 0===e.elementCount||0===t.elementCount||(e.elementCount<=t.elementCount?RQ.check(A,e,t,r,n):RQ.check(A,t,e,r,n))}(e,a,A,n,o);i&&(r=!r),r&&s.add(A),t%10==0&&e.throwIfTimedOut()})),e.popCurrentElement(),s.getSelection()}(t):function(A){var e=A.queryCtx,t=A.selection,r=A.target,n=A.minRadius,i=A.maxRadius,o=A.invert,a=A.elementRadius,s=KB.unionStructure(r),u=KB.LinearBuilder(e.inputStructure);return e.pushCurrentElement(),KB.forEach(t,(function(A,t){var r=function(A,e,t,r,n,i){return 0===e.elementCount||0===t.elementCount||(e.elementCount<=t.elementCount?NQ.check(A,e,t,r,n,i):NQ.check(A,t,e,r,n,i))}(e,s,A,n,i,a);o&&(r=!r),r&&u.add(A),t%10==0&&e.throwIfTimedOut()})),e.popCurrentElement(),u.getSelection()}(t)}}function VQ(A){var e=A.query,t=A.target,r=A.disjunct,n=A.invert,i=A.bondTest;return function(A){var o=t(A);if(KB.isEmpty(o))return o;var a=e(A);if(KB.isEmpty(a))return a;var s={queryCtx:A,input:A.inputStructure,disjunct:r,target:KB.unionStructure(o)},u=KB.LinearBuilder(A.inputStructure);return A.pushCurrentBond(),A.atomicBond.setTestFn(i),KB.forEach(a,(function(e,t){!function(A,e){var t=A.queryCtx,r=A.input,n=A.target,i=A.disjunct,o=t.atomicBond,a=r.interUnitBonds;o.setStructure(r);for(var s=0,u=e.units;s<u.length;s++){var g=u[s];if(TB.isAtomic(g))for(var c=r.unitMap.get(g.id),B=c.bonds,l=B.offset,Q=B.b,I=B.edgeProps,d=I.flags,h=I.order,E=a.getConnectedUnits(g.id),f=E.length,C=g.elements,p=c.elements,m=0,y=C.length;m<y;m++){var v=kn.indexOf(p,C[m]);o.a.unit=c,o.b.unit=c;for(var D=l[v],b=l[v+1];D<b;D++)if(o.b.element=c.elements[Q[D]],(!i||!kn.has(g.elements,o.b.element))&&n.hasElement(o.b)&&(o.aIndex=v,o.a.element=C[m],o.bIndex=Q[D],o.type=d[D],o.order=h[D],o.test(t,!0)))return!0;for(var w=0;w<f;w++)for(var F=E[w],U=r.unitMap.get(F.unitB),S=U.elements,N=F.getEdges(v),R=0,H=N.length;R<H;R++){var G=N[R];if(o.b.unit=U,o.b.element=S[G.indexB],n.hasElement(o.b)&&(!i||!e.hasElement(o.b))&&(o.a.unit=c,o.aIndex=v,o.a.element=C[m],o.bIndex=G.indexB,o.type=G.props.flag,o.order=G.props.order,o.test(t,!0)))return!0}}}return!1}(s,e)?n&&u.add(e):u.add(e),t%5==0&&A.throwIfTimedOut()})),A.popCurrentBond(),u.getSelection()}}function TQ(A){return 0===A.length?ll:1===A.length?A[0]:function(e){for(var t=KB.UniqueBuilder(e.inputStructure),r=function(r){KB.forEach(A[r](e),(function(A,n){t.add(A),r%100&&e.throwIfTimedOut()}))},n=0;n<A.length;n++)r(n);return t.getSelection()}}function PQ(A){return 0===A.length?ll:1===A.length?A[0]:function(e){for(var t=[],r=0;r<A.length;r++)t.push(A[r](e));var n=0,i=KB.structureCount(t[0]);for(r=1;r<t.length;r++){var o=KB.structureCount(t[r]);o<i&&(n=r,i=o)}e.throwIfTimedOut();var a=Og((function(A){return A.hashCode}),BI.areUnitIdsAndIndicesEqual);KB.forEach(t[n],(function(A){return a.add(A)}));for(var s=KB.UniqueBuilder(e.inputStructure),u=0;u<t.length;u++)u!==n&&(KB.forEach(t[u],(function(A){a.has(A)&&s.add(A)})),e.throwIfTimedOut());return s.getSelection()}}!function(A){var e=gA.zero();function t(A,t,r,n,i,o,a){var s=t.elements,u=t.conformation.position,g=e;A.element.unit=t;for(var c=!1,B=0,l=s.length;B<l;B++){var Q=s[B];A.element.element=Q;var I=Math.max(0,gA.distance(r,u(Q,g))-n-a(A));if(I<i)return 0;I<o&&(c=!0)}return c?1:2}function r(A,e,r,n,i,o,a){for(var s=e.units,u=!1,g=0,c=s.length;g<c;g++){var B=t(A,s[g],r,n,i,o,a);if(0===B)return 0;1===B&&(u=!0)}return u?1:2}A.toPoint=r;var n=gA.zero();A.check=function(A,e,t,i,o,a){if(0===e.elementCount||0===t.elementCount)return 0;var s=e.units,u=!1;A.element.structure=e;for(var g=0,c=s.length;g<c;g++){var B=s[g],l=B.elements,Q=B.conformation.position;A.element.unit=B;for(var I=0,d=l.length;I<d;I++){var h=l[I];A.element.element=h;var E=r(A,t,Q(h,n),a(A),i,o,a);if(0===E)return 0;1===E&&(u=!0)}}return u}}(NQ||(NQ={})),function(A){var e=gA.zero();function t(A,t,r,n,i,o){var a=t.elements,s=t.conformation.position,u=e;A.element.unit=t;for(var g=0,c=a.length;g<c;g++){var B=a[g];if(A.element.element=B,Math.max(0,gA.distance(r,s(B,u))-n-o(A))<=i)return!0}return!1}function r(A,e,r,n,i,o){for(var a=e.units,s=0,u=a.length;s<u;s++)if(t(A,a[s],r,n,i,o))return!0;return!1}A.toPoint=r;var n=gA.zero();A.check=function(A,e,t,i,o){if(0===e.elementCount||0===t.elementCount)return 0;var a=e.units;A.element.structure=e;for(var s=0,u=a.length;s<u;s++){var g=a[s];A.element.unit=g;for(var 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s=A[0],u=A[1],g=A[2],c=A[3];return function(A){return s(A)&&u(A)&&g(A)&&c(A)};case 5:var B=A[0],l=A[1],Q=A[2],I=A[3],d=A[4];return function(A){return B(A)&&l(A)&&Q(A)&&I(A)&&d(A)};case 6:var h=A[0],E=A[1],f=A[2],C=A[3],p=A[4],m=A[5];return function(A){return h(A)&&E(A)&&f(A)&&C(A)&&p(A)&&m(A)};default:var y=A.length;return function(e){for(var t=0;t<y;t++)if(!A[t])return!1;return!0}}},A.or=function(){for(var A=[],e=0;e<arguments.length;e++)A[e]=arguments[e];switch(A.length){case 0:return t;case 1:return A[0];case 2:var r=A[0],n=A[1];return function(A){return r(A)||n(A)};case 3:var i=A[0],o=A[1],a=A[2];return function(A){return i(A)||o(A)||a(A)};case 4:var s=A[0],u=A[1],g=A[2],c=A[3];return function(A){return s(A)||u(A)||g(A)||c(A)};case 5:var B=A[0],l=A[1],Q=A[2],I=A[3],d=A[4];return function(A){return B(A)||l(A)||Q(A)||I(A)||d(A)};case 6:var h=A[0],E=A[1],f=A[2],C=A[3],p=A[4],m=A[5];return function(A){return h(A)||E(A)||f(A)||C(A)||p(A)||m(A)};default:var y=A.length;return function(e){for(var t=0;t<y;t++)if(A[t])return!0;return!1}}}}(HQ||(HQ={}));var JQ,OQ={generators:e,filters:i,modifiers:n,combinators:o,pred:HQ,internal:A};function KQ(A,e,t,r,n,i){var o=A.spacegroup,a=A.ncsOperators,s=[],u=o.cell.toFractional,g=gA.transformMat4(gA(),i,u),c=bs.getSymmetryOperatorRef(o,e,t,r,n,g);if(a&&a.length)for(var B=0,l=a.length;B<l;++B){var Q=a[B],I=nA.mul(nA(),c.matrix,Q.matrix),d=gs.create("".concat(c.name," ").concat(Q.name),I,{assembly:c.assembly,ncsId:Q.ncsId,hkl:c.hkl,spgrOp:c.spgrOp});s.push(d)}else s.push(c);return s}function jQ(A,e,t,r){var n=A.spacegroup,i=A.ncsOperators,o=i&&i.length||0,a=[];!o&&e[0]<=0&&t[0]>=0&&e[1]<=0&&t[1]>=0&&e[2]<=0&&t[2]>=0&&(a[0]=bs.getSymmetryOperator(n,0,0,0,0));for(var s=n.cell.toFractional,u=gA.transformMat4(gA(),r,s),g=0;g<n.operators.length;g++)for(var c=e[0];c<=t[0];c++)for(var B=e[1];B<=t[1];B++)for(var l=e[2];l<=t[2];l++)(o||0!==g||0!==c||0!==B||0!==l)&&a.push.apply(a,KQ(A,g,c,B,l,u));return a}function zQ(A,e){for(var t=BI.Builder({label:A.label,dynamicBonds:A.dynamicBonds}),r=A.units,n=0,i=e;n<i.length;n++)for(var o=i[n],a=0,s=r;a<s.length;a++){var u=s[a];t.addWithOperator(u,o)}return t.getStructure()}!function(A){function e(A,e){return A.invariantId===e.invariantId&&A.model.id===e.model.id&&kn.areEqual(A.elements,e.elements)}function t(){return function(A,e){return new ee(A,e)}(TB.hashUnit,e)}A.buildAssembly=function(A,e){var t=this;return Pe.create("Build Assembly",(function(r){return F(t,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h;return U(this,(function(E){if(1!==(t=A.models).length)throw new Error("Can only build assemblies from structures based on 1 model.");if(!(r=Ku.findAssembly(t[0],e)))throw new Error("Assembly '".concat(e,"' is not defined."));for(n=gs.create(r.id,nA.identity(),{assembly:{id:r.id,operId:0,operList:[]}}),i=BI.Builder({coordinateSystem:n,label:A.label,dynamicBonds:A.dynamicBonds}),o=new ul(A),a=0,s=r.operatorGroups;a<s.length;a++)if(u=s[a],g=u.selector(o),0!==KB.structureCount(g))for(c=KB.unionStructure(g).units,B=0,l=u.operators;B<l.length;B++)for(Q=l[B],I=0,d=c;I<d.length;I++)h=d[I],i.addWithOperator(h,Q);return[2,i.getStructure()]}))}))}))},A.buildSymmetryAssembly=function(A,e,t){var r=this;return Pe.create("Build Symmetry Assembly",(function(n){return F(r,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w;return U(this,(function(F){if(1!==(r=A.models).length)throw new Error("Can only build symmetry assemblies from structures based on 1 model.");for(n=gA(),i=BI.Builder({label:A.label,representativeModel:r[0],dynamicBonds:A.dynamicBonds}),o=new ul(A),a=0,s=e;a<s.length;a++)if(U=(u=s[a]).asymIds,g=OQ.generators.atoms({chainTest:OQ.pred.and(OQ.pred.eq((function(A){return oQ.unit.operator_name(A.element)}),gs.DefaultName),OQ.pred.inSet((function(A){return oQ.chain.label_asym_id(A.element)}),U))}),c=g(o),0!==KB.structureCount(c))for(B=KB.unionStructure(c).units,l=0,Q=u.operators;l<Q.length;l++)for(I=Q[l],d=I.index,h=I.shift,E=h[0],f=h[1],C=h[2],p=KQ(t,d,E,f,C,n),m=0,y=B;m<y.length;m++)for(v=y[m],D=0,b=p;D<b.length;D++)w=b[D],i.addWithOperator(v,w);var U;return[2,i.getStructure()]}))}))}))},A.builderSymmetryMates=function(A,e){return Pe.create("Find Symmetry Mates",(function(t){return function(A,e,t){return F(this,void 0,void 0,(function(){function r(A,e){return"".concat(A.invariantId,"|").concat(e.name)}var n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v;return U(this,(function(D){switch(D.label){case 0:if(1!==(n=e.models).length)throw new Error("Can only build symmetries from structures based on 1 model.");return(i=ju.Provider.get(n[0]))?(o=i.spacegroup,Ds.isZero(o.cell)?[2,e]:A.shouldUpdate?[4,A.update("Initialing...")]:[3,2]):[2,e];case 1:D.sent(),D.label=2;case 2:a=dd.getCenter(n[0]),s=function(A,e){return A._operators_333&&gA.equals(e,A._operators_333.ref)||(A._operators_333={ref:gA.clone(e),operators:jQ(A,gA.create(-3,-3,-3),gA.create(3,3,3),e)}),A._operators_333.operators}(i,a),u=e.lookup3d,g=new Set,c=BI.Builder({label:e.label,dynamicBonds:e.dynamicBonds}),B=e.units,l=gA.zero(),Q=0,I=s,D.label=3;case 3:if(!(Q<I.length))return[3,6];for(d=I[Q],h=0,E=B;h<E.length;h++)for(f=E[h],C=f.lookup3d.boundary.sphere,gA.transformMat4(l,C.center,d.matrix),p=u.findUnitIndices(l[0],l[1],l[2],C.radius+t),m=0,y=p.count;m<y;m++)B[p.indices[m]].lookup3d.check(l[0],l[1],l[2],C.radius+t)&&(v=r(f,d),g.has(v)||(c.addWithOperator(f,d),g.add(v)));return A.shouldUpdate?[4,A.update("Building symmetry...")]:[3,5];case 4:D.sent(),D.label=5;case 5:return Q++,[3,3];case 6:return[2,c.getStructure()]}}))}))}(t,A,e)}))},A.buildSymmetryRange=function(A,e,t){return Pe.create("Build Symmetry",(function(r){return function(A,e,t,r){return F(this,void 0,void 0,(function(){var A,n,i,o,a;return U(this,(function(s){if(1!==(A=e.models).length)throw new Error("Can only build symmetries from structures based on 1 model.");return(n=ju.Provider.get(A[0]))?(i=n.spacegroup,Ds.isZero(i.cell)?[2,e]:(o=dd.getCenter(A[0]),a=jQ(n,t,r,o),[2,zQ(e,a)])):[2,e]}))}))}(0,A,e,t)}))},A.buildNcs=function(A){return Pe.create("Build NCS",(function(e){return function(A,e){return F(this,void 0,void 0,(function(){var A,t,r;return U(this,(function(n){if(1!==(A=e.models).length)throw new Error("Can only build NCS from structures based on 1 model.");return(t=ju.Provider.get(A[0]))&&(r=t.ncsOperators)&&r.length?[2,zQ(e,r)]:[2,e]}))}))}(0,A)}))},A.areUnitsEquivalent=e,A.UnitEquivalenceBuilder=t,A.computeTransformGroups=function(A){for(var e=t(),r=0,n=A.units;r<n.length;r++){var i=n[r];e.add(i.id,i)}for(var o=[],a=0,s=e.groups;a<s.length;a++){var u=s[a];o.push(TB.SymmetryGroup(u.map((function(e){return A.unitMap.get(e)}))))}return o},A.areTransformGroupsEquivalent=function(A,e){if(A.length!==e.length)return!1;for(var t=0,r=A.length;t<r;++t){var n=A[t].units,i=e[t].units;if(n.length!==i.length)return!1;if(A[t].hashCode!==e[t].hashCode)return!1;for(var o=0,a=n.length;o<a;o++)if(n[o].conformation!==i[o].conformation)return!1}return!0}}(JQ||(JQ={}));var qQ=function(){function A(A,e){this.parent=A,this.isSorted=e,this.ids=[],this.unitMap=Fi.Mutable(),this.parentId=-1,this.currentUnit=[],this.elementCount=0}return A.prototype.addToUnit=function(A,e){var t=this.unitMap.get(A);t?t[t.length]=e:(this.unitMap.set(A,[e]),this.ids[this.ids.length]=A),this.elementCount++},A.prototype.beginUnit=function(A){this.parentId=A,this.currentUnit=this.currentUnit.length>0?[]:this.currentUnit},A.prototype.addElement=function(A){this.currentUnit[this.currentUnit.length]=A,this.elementCount++},A.prototype.addElementRange=function(A,e,t){for(var r=e;r<t;r++)this.currentUnit[this.currentUnit.length]=A[r],this.elementCount++},A.prototype.commitUnit=function(){0!==this.currentUnit.length&&(this.ids[this.ids.length]=this.parentId,this.unitMap.set(this.parentId,this.currentUnit),this.parentId=-1)},A.prototype.setUnit=function(A,e){this.ids[this.ids.length]=A,this.unitMap.set(A,e),this.elementCount+=e.length},A.prototype._getStructure=function(A){if(this.isEmpty)return BI.Empty;var e=[];zA(this.ids);for(var t=JQ.UnitEquivalenceBuilder(),r=0,n=this.ids.length;r<n;r++){var i=this.ids[r],o=this.parent.unitMap.get(i),a=this.unitMap.get(i),s=!1;A&&(this.isSorted||zA(a),a=kn.deduplicate(kn.ofSortedArray(this.currentUnit)),s=!0);var u=a.length;if(a.length!==o.elements.length){!this.isSorted&&!s&&u>1&&zA(a);var g=o.getChild(kn.ofSortedArray(a)),c=t.add(g.id,g);g!==c&&(g=c.applyOperator(g.id,g.conformation.operator,!0)),e[e.length]=g}else e[e.length]=o,t.add(o.id,o)}return BI.create(e,{parent:this.parent})},A.prototype.getStructure=function(){return this._getStructure(!1)},A.prototype.getStructureDeduplicate=function(){return this._getStructure(!0)},A.prototype.setSingletonLocation=function(A){var e=this.ids[0];A.unit=this.parent.unitMap.get(e),A.element=this.unitMap.get(e)[0]},Object.defineProperty(A.prototype,"isEmpty",{get:function(){return 0===this.elementCount},enumerable:!1,configurable:!0}),A}();function ZQ(A,e){for(var t=1;e--;)t*=A--;return t}var WQ=function(){function A(A,e){this.array=A,this.hasNext=!1,this.index=(1<<e)-1,this.size=function(A,e){return e>A?0:ZQ(A,e)/ZQ(e,e)}(A.length,e),this.maxIndex=1<<A.length,this.value=new Array(e),this.hasNext=e>0&&e<=A.length}return A.prototype.move=function(){if(this.hasNext){for(var A=0,e=0,t=this.index;t;t>>>=1,A++)1&t&&(this.value[e++]=this.array[A]);this.index=function(A){var e=A&-A,t=A+e;return t|((t&-t)/e>>1)-1}(this.index),this.hasNext=this.index<this.maxIndex}return this.value},A}();function XQ(A,e){for(var t=[],r=new WQ(A,e);r.hasNext;)t.push(r.move().slice());return t}var $Q=[],AI={links:$Q,terminalLinks:$Q,elements:$Q,partialElements:$Q,getElementIndices:function(){return $Q},getLinkIndices:function(){return $Q},getTerminalLinkIndices:function(){return $Q}},eI=fa("C"),tI=fa("O"),rI=[pB.elementFingerprint([eI,eI,eI,tI]),pB.elementFingerprint([eI,eI,eI,eI,tI]),pB.elementFingerprint([eI,eI,eI,eI,eI,tI]),pB.elementFingerprint([eI,eI,eI,eI,eI,eI,tI])];function nI(A,e){for(var t=-1,r=-1,n=-1,i=-1,o=A.elements,a=A.model.atomicHierarchy.atoms,s=a.type_symbol,u=a.label_atom_id,g=A.bonds,c=g.b,B=g.offset,l=0,Q=e.length;l<Q;++l){var I=o[e[l]];if(s.value(I)===eI){for(var d=0,h=0,E=B[e[l]],f=B[e[l]+1];E<f;++E){var C=o[c[E]],p=s.value(C);p===tI?++d:p===eI&&++h}if(2===d){t=I;break}1===d&&1===h?r=I:u.value(I).startsWith("C1")?n=I:i=I}}return-1!==t?t:-1!==r?r:-1!==n?n:-1!==i?i:o[e[0]]}function iI(A,e,t,r){var n=e.conformation.position;return gA.normalize(A,gA.sub(A,r,n(t,A))),A}function oI(A,e){var t=A.elements;return A.model.atomicHierarchy.atoms.label_atom_id.value(t[e])}function aI(A,e){if(e&&e.length){for(var t=A.unit,r=A.all,n=new Set,i=XQ(hr(new Array(e.length)),2),o=0,a=i.length;o<a;++o){var s=i[o],u=r[e[s[0]]],g=r[e[s[1]]];kn.areIntersecting(u,g)&&pB.getAltId(t,u)===pB.getAltId(t,g)&&(n.add(e[s[0]]),n.add(e[s[1]]))}if(n.size){var c=[];for(o=0,a=e.length;o<a;++o)n.has(e[o])||c.push(e[o]);return c}return e}}function sI(A,e){return e.properties.saccharideComponentMap.get(A)}var uI=Ss(),gI=new SB("14"),cI=new SB("98");var BI=function(){function A(A,e,t,r,n){this.units=A,this.unitMap=e,this.unitIndexMap=t,this.state=r,this._child=null==n?void 0:n.child,this._target=null==n?void 0:n.target,this._proxy=void 0}return A.prototype.subsetBuilder=function(A){return new qQ(this,A)},Object.defineProperty(A.prototype,"elementCount",{get:function(){return this.state.elementCount},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"bondCount",{get:function(){return-1===this.state.bondCount&&(this.state.bondCount=this.interUnitBonds.edgeCount+oB.getIntraUnitBondCount(this)),this.state.bondCount},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"hasCustomProperties",{get:function(){return!!this.state.customProps&&this.state.customProps.all.length>0},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"customPropertyDescriptors",{get:function(){return this.state.customProps||(this.state.customProps=new ro),this.state.customProps},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"currentPropertyData",{get:function(){return this.state.propertyData||(this.state.propertyData=Object.create(null)),this.state.propertyData},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"inheritedPropertyData",{get:function(){return this.parent?this.parent.currentPropertyData:this.currentPropertyData},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"polymerResidueCount",{get:function(){return-1===this.state.polymerResidueCount&&(this.state.polymerResidueCount=function(A){for(var e=A.units,t=0,r=0,n=e.length;r<n;r++)t+=e[r].polymerElements.length;return t}(this)),this.state.polymerResidueCount},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"polymerGapCount",{get:function(){return-1===this.state.polymerGapCount&&(this.state.polymerGapCount=function(A){for(var e=A.units,t=0,r=0,n=e.length;r<n;r++)t+=e[r].gapElements.length/2;return t}(this)),this.state.polymerGapCount},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"polymerUnitCount",{get:function(){return-1===this.state.polymerUnitCount&&(this.state.polymerUnitCount=function(A){for(var e=A.units,t=0,r=0,n=e.length;r<n;r++)e[r].polymerElements.length>0&&(t+=1);return t}(this)),this.state.polymerUnitCount},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"uniqueElementCount",{get:function(){return-1===this.state.uniqueElementCount&&(this.state.uniqueElementCount=function(A){for(var e=A.unitSymmetryGroups,t=0,r=0,n=e.length;r<n;r++)t+=e[r].elements.length;return t}(this)),this.state.uniqueElementCount},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"atomicResidueCount",{get:function(){return-1===this.state.atomicResidueCount&&(this.state.atomicResidueCount=function(A){for(var e=A.units,t=0,r=0,n=e.length;r<n;r++){var i=e[r];if(TB.isAtomic(i))for(var o=i.elements,a=i.residueIndex,s=-1,u=-1,g=0,c=o.length;g<c;++g)(s=a[o[g]])!==u&&(t+=1,u=s)}return t}(this)),this.state.atomicResidueCount},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"isCoarseGrained",{get:function(){return this.models.some((function(A){return dd.isCoarseGrained(A)}))},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"isEmpty",{get:function(){return 0===this.units.length},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"hashCode",{get:function(){return-1!==this.state.hashCode?this.state.hashCode:this.computeHash()},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"transformHash",{get:function(){return-1!==this.state.transformHash||(this.state.transformHash=ae(this.units.map((function(A){return A.id})))),this.state.transformHash},enumerable:!1,configurable:!0}),A.prototype.computeHash=function(){for(var A=23,e=0,t=this.units.length;e<t;e++){var r=this.units[e];A=31*(A=31*A+r.id|0)+kn.hashCode(r.elements)|0}return-1===(A=te(A=31*A+this.elementCount|0))&&(A=0),this.state.hashCode=A,A},A.prototype.elementLocations=function(){return new A.ElementLocationIterator(this)},Object.defineProperty(A.prototype,"root",{get:function(){var A;return null!==(A=this.state.parent)&&void 0!==A?A:this},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"parent",{get:function(){return this.state.parent},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"coordinateSystem",{get:function(){return this.state.coordinateSystem},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"label",{get:function(){return this.state.label},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"boundary",{get:function(){return this.state.boundary||(this.state.boundary=function(A){var e=A.units,t=function(A){return A>500?gI:cI}(e.length);t.reset();for(var r=0,n=e.length;r<n;r++){var i=(o=e[r]).boundary;(a=o.conformation.operator).isIdentity?t.includeSphere(i.sphere):(Ss.transform(uI,i.sphere,a.matrix),t.includeSphere(uI))}for(t.finishedIncludeStep(),r=0,n=e.length;r<n;r++){var o,a;i=(o=e[r]).boundary,(a=o.conformation.operator).isIdentity?t.radiusSphere(i.sphere):(Ss.transform(uI,i.sphere,a.matrix),t.radiusSphere(uI))}return{box:t.getBox(),sphere:t.getSphere()}}(this)),this.state.boundary},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"lookup3d",{get:function(){return this.state.lookup3d||(this.state.lookup3d=new zB(this)),this.state.lookup3d},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"interUnitBonds",{get:function(){return this.state.interUnitBonds||(this.state.interUnitBonds=BB(this,{ignoreWater:!this.dynamicBonds})),this.state.interUnitBonds},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"dynamicBonds",{get:function(){return this.state.dynamicBonds},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"unitSymmetryGroups",{get:function(){return this.state.unitSymmetryGroups||(this.state.unitSymmetryGroups=JQ.computeTransformGroups(this)),this.state.unitSymmetryGroups},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"unitSymmetryGroupsIndexMap",{get:function(){return this.state.unitSymmetryGroupsIndexMap||(this.state.unitSymmetryGroupsIndexMap=TB.SymmetryGroup.getUnitSymmetryGroupsIndexMap(this.unitSymmetryGroups)),this.state.unitSymmetryGroupsIndexMap},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"carbohydrates",{get:function(){return this.state.carbohydrates||(this.state.carbohydrates=function(A){if(0===A.models.reduce((function(A,e){return A+e.properties.saccharideComponentMap.size}),0))return AI;var e=[],t=[],r=[],n=[],i=new Map;function o(A,e,t){return"".concat(A,"|").concat(e,"|").concat(t)}function a(A,e){i.has(A)?i.get(A).push(e):i.set(A,[e])}function s(A,e){gA.sub(r[A].geometry.direction,r[e].geometry.center,r[A].geometry.center),gA.normalize(r[A].geometry.direction,r[A].geometry.direction)}var u=gA.zero();function g(A,e,t){var n=t.conformation.position,i=r[A].geometry;gA.sub(i.direction,n(t.elements[e],u),i.center),gA.normalize(i.direction,i.direction)}for(var c=0,B=A.units.length;c<B;++c){var l=A.units[c];if(TB.isAtomic(l))for(var Q=l.model,I=l.rings,d=Q.atomicHierarchy,h=d.chainAtomSegments,E=d.residueAtomSegments,f=d.atoms.label_comp_id,C=vi.transientSegments(h,l.elements),p=vi.transientSegments(E,l.elements),m=void 0;C.hasNext;)for(p.setSegment(C.move());p.hasNext;){var y=p.move().index,v=sI(f.value(E.offsets[y]),Q);if(v){m||(m=yB.byFingerprintAndResidue(I,rI));var D=aI(I,m.get(y));if(D&&D.length){for(var b=[],F=0,U=D.length;F<U;++F){var S=I.all[D[F]],N=nI(l,S),R=sB.calculateMomentsAxes(Bs(l,S)),H=gA.copy(gA.zero(),R.origin),G=gA.copy(gA.zero(),R.dirC),M=iI(gA.zero(),l,N,H);gA.orthogonalize(M,G,M);var L=pB.getAltId(l,S),x=r.length;b.push(x),a(o(y,l.id,L),x),L&&a(o(y,l.id,""),x),r.push({geometry:{center:H,normal:G,direction:M},component:v,ringIndex:D[F],altId:L,unit:l,residueIndex:y})}var k=XQ(hr(new Array(D.length)),2);for(F=0,U=k.length;F<U;++F){var Y=k[F],_=I.all[D[Y[0]]],V=I.all[D[Y[1]]];if(to.areVertexSetsConnected(l.bonds,_,V,3)){var T=b[Y[0]],P=b[Y[1]];r[T].altId===r[P].altId&&(s(T,P),s(P,T),e.push({carbohydrateIndexA:T,carbohydrateIndexB:P}),e.push({carbohydrateIndexA:P,carbohydrateIndexB:T}))}}}else n.push({unit:l,residueIndex:y,component:v})}}}function J(A,e){return i.get(o(A.getResidueIndex(e),A.id,function(A,e){var t=A.elements;return A.model.atomicHierarchy.atoms.label_alt_id.value(t[e])}(A,e)))||[]}for(c=0,B=r.length;c<B;++c){var O=r[c];for(l=O.unit,F=c+1;F<B;++F){var K=r[F];if(l===K.unit&&O.residueIndex!==K.residueIndex){var j=l.rings.all[O.ringIndex],z=l.rings.all[K.ringIndex];to.areVertexSetsConnected(l.bonds,j,z,3)&&(s(c,F),s(F,c),e.push({carbohydrateIndexA:c,carbohydrateIndexB:F}),e.push({carbohydrateIndexA:F,carbohydrateIndexB:c}))}}}for(c=0,B=A.units.length;c<B;++c)l=A.units[c],TB.isAtomic(l)&&A.interUnitBonds.getConnectedUnits(l.id).forEach((function(r){r.connectedIndices.forEach((function(n){r.getEdges(n).forEach((function(i){var o=i.props,a=i.indexB;if(pa.isCovalent(o.flag)){var u=A.unitMap.get(r.unitA),c=A.unitMap.get(r.unitB),B=J(u,n),l=J(c,a);if(B.length>0&&l.length>0)for(var Q=B.length,I=l.length,d=0,h=Math.max(Q,I);d<h;++d){var E=B[Math.min(d,Q-1)],f=l[Math.min(d,I-1)];((m=oI(u,n)).startsWith("O1")||m.startsWith("C1"))&&s(E,f),e.push({carbohydrateIndexA:E,carbohydrateIndexB:f})}else if(0===l.length)for(var C=0,p=B;C<p.length;C++){var m;E=p[C],((m=oI(u,n)).startsWith("O1")||m.startsWith("C1"))&&g(E,a,c),t.push({carbohydrateIndex:E,elementIndex:a,elementUnit:c,fromCarbohydrate:!0})}else if(0===B.length)for(var y=0,v=l;y<v.length;y++)f=v[y],t.push({carbohydrateIndex:f,elementIndex:n,elementUnit:u,fromCarbohydrate:!1})}}))}))}));return w({links:e,terminalLinks:t,elements:r,partialElements:n},function(A,e,t){function r(A,e){return ie(A.id,e)}function n(A,e,t){var n=[],i=A.get(r(e,t));if(void 0!==i)for(var o=0,a=i;o<a.length;o++)Cr(n,a[o]);return n}for(var i=new Map,o=0,a=A.length;o<a;++o)for(var s=A[o],u=s.unit,g=s.ringIndex,c=0,B=(m=u.rings.all[g]).length;c<B;++c){var l=r(u,u.elements[m[c]]);void 0===(v=i.get(l))?i.set(l,[o]):v.push(o)}var Q=new Map;for(o=0,a=e.length;o<a;++o){var I=A[e[o].carbohydrateIndexA];for(u=I.unit,g=I.ringIndex,c=0,B=(m=u.rings.all[g]).length;c<B;++c)l=r(u,u.elements[m[c]]),void 0===(v=Q.get(l))?Q.set(l,[o]):v.push(o)}var d=new Map;for(o=0,a=t.length;o<a;++o){var h=t[o],E=h.fromCarbohydrate,f=h.carbohydrateIndex,C=h.elementUnit,p=h.elementIndex;if(E){var m,y=A[f];for(u=y.unit,g=y.ringIndex,c=0,B=(m=u.rings.all[g]).length;c<B;++c)l=r(u,u.elements[m[c]]),void 0===(v=d.get(l))?d.set(l,[o]):v.push(o)}else{var v;l=r(C,C.elements[p]),void 0===(v=d.get(l))?d.set(l,[o]):v.push(o)}}return{getElementIndices:function(A,e){return n(i,A,e)},getLinkIndices:function(A,e){return n(Q,A,e)},getTerminalLinkIndices:function(A,e){return n(d,A,e)}}}(r,e,t))}(this)),this.state.carbohydrates},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"models",{get:function(){return this.state.models||(this.state.models=function(A){for(var e=A.units,t=zg.create(),r=0,n=e;r<n.length;r++){var i=n[r];zg.add(t,i.model.id,i.model)}return t.array}(this)),this.state.models},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"uniqueResidueNames",{get:function(){return this.state.uniqueResidueNames||(this.state.uniqueResidueNames=function(A){for(var e=oQ.residue.microheterogeneityCompIds,t=new Set,r=hc.create(A),n=0,i=A.unitSymmetryGroups;n<i.length;n++){var o=i[n].units[0];if(TB.isAtomic(o)){var a=vi.transientSegments(o.model.atomicHierarchy.residueAtomSegments,o.elements);for(r.unit=o;a.hasNext;){var s=a.move();r.element=o.elements[s.start];for(var u=0,g=e(r);u<g.length;u++){var c=g[u];t.add(c)}}}}return t}(this))},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"uniqueElementSymbols",{get:function(){return this.state.uniqueElementSymbols||(this.state.uniqueElementSymbols=function(A){for(var e=oQ.atom.type_symbol,t=new Set,r=hc.create(A),n=0,i=A.unitSymmetryGroups;n<i.length;n++){var o=i[n].units[0];if(TB.isAtomic(o)){r.unit=o;for(var a=0,s=o.elements.length;a<s;++a)r.element=o.elements[a],t.add(e(r))}}return t}(this))},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"entityIndices",{get:function(){return this.state.entityIndices||(this.state.entityIndices=function(A){for(var e=A.units,t=hc.create(A),r=zg.create(),n=0,i=e;n<i.length;n++){var o=i[n],a=0===o.kind?oQ.entity.key:oQ.coarse.entityKey;t.unit=o;for(var s=o.elements,u=vi.transientSegments(o.model.atomicHierarchy.chainAtomSegments,s);u.hasNext;){var g=u.move();t.element=s[g.start];var c=a(t);zg.add(r,c,c)}}return zA(r.array),r.array}(this))},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"uniqueAtomicResidueIndices",{get:function(){return this.state.uniqueAtomicResidueIndices||(this.state.uniqueAtomicResidueIndices=function(A){for(var e=new Map,t=[],r=0,n=A.unitSymmetryGroups;r<n.length;r++){var i=n[r].units[0];if(TB.isAtomic(i)){var o=void 0;e.has(i.model.id)?o=e.get(i.model.id):(o=zg.create(),t.push(i.model.id),e.set(i.model.id,o));for(var a=vi.transientSegments(i.model.atomicHierarchy.residueAtomSegments,i.elements);a.hasNext;){var s=a.move();zg.add(o,s.index,s.index)}}}for(var u=new Map,g=0,c=t;g<c.length;g++){var B=c[g],l=e.get(B).array;zA(l),u.set(B,l)}return u}(this))},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"isAtomic",{get:function(){for(var A=0,e=this.units;A<e.length;A++){var t=e[A];if(!TB.isAtomic(t))return!1}return!0},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"hasAtomic",{get:function(){for(var A=0,e=this.units;A<e.length;A++){var t=e[A];if(TB.isAtomic(t))return!0}return!1},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"isCoarse",{get:function(){for(var A=0,e=this.units;A<e.length;A++){var t=e[A];if(!TB.isCoarse(t))return!1}return!0},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"hasCoarse",{get:function(){for(var A=0,e=this.units;A<e.length;A++){var t=e[A];if(TB.isCoarse(t))return!0}return!1},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"serialMapping",{get:function(){return this.state.serialMapping||(this.state.serialMapping=function(A){for(var e=A.units,t=A.elementCount,r=A.unitIndexMap,n=new Uint32Array(e.length),i=new Uint32Array(t),o=new Uint32Array(t),a=0,s=0,u=e.length;a<u;++a){n[a]=s;for(var g=e[a].elements,c=0,B=g.length;c<B;++c){var l=s+c;i[l]=a,o[l]=g[c]}s+=g.length}return{cumulativeUnitElementCount:n,unitIndices:i,elementIndices:o,getSerialIndex:function(A,e){return n[r.get(A.id)]+Tn.indexOf(A.elements,e)}}}(this))},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"model",{get:function(){if(this.state.model)return this.state.model;if(this.state.representativeModel)return this.state.representativeModel;if(this.state.masterModel)return this.state.masterModel;var A=this.models;if(A.length>1)throw new Error("The structure is based on multiple models and has neither a master- nor a representative-model.");return this.state.model=A[0],this.state.model},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"masterModel",{get:function(){return this.state.masterModel},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"representativeModel",{get:function(){return this.state.representativeModel},enumerable:!1,configurable:!0}),A.prototype.hasElement=function(A){return!!this.unitMap.has(A.unit.id)&&kn.has(this.unitMap.get(A.unit.id).elements,A.element)},A.prototype.getModelIndex=function(A){return this.models.indexOf(A)},A.prototype.remapModel=function(e){for(var t=this.state,r=t.dynamicBonds,n=t.interUnitBonds,i=t.parent,o=[],a=0,s=this.unitSymmetryGroups;a<s.length;a++){var u=s[a],g=u.units[0].remapModel(e,r);o.push(g);for(var c=1,B=u.units.length;c<B;++c){var l=u.units[c];o.push(l.remapModel(e,r,g.props))}}return A.create(o,{parent:null==i?void 0:i.remapModel(e),label:this.label,interUnitBonds:r?void 0:n,dynamicBonds:r})},A.prototype.asParent=function(){if(this._proxy)return this._proxy;if(this.parent){var e=this.parent.coordinateSystem.isIdentity?this.parent:A.transform(this.parent,this.parent.coordinateSystem.inverse),t=this.coordinateSystem.isIdentity?e:A.transform(e,this.coordinateSystem.matrix);this._proxy=new A(t.units,t.unitMap,t.unitIndexMap,w(w({},t.state),{dynamicBonds:this.dynamicBonds}),{child:this,target:this.parent})}else this._proxy=this;return this._proxy},Object.defineProperty(A.prototype,"child",{get:function(){return this._child},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"target",{get:function(){var A;return null!==(A=this._target)&&void 0!==A?A:this},enumerable:!1,configurable:!0}),A}();function lI(A,e,t){return A[e].id-A[t].id}!function(A){function e(A){return{kind:"structure-loci",structure:A}}function t(e,t){void 0===t&&(t={});for(var r=Fi.Mutable(),n=Fi.Mutable(),i=0,o=!0,a=e.length>0?e[0].id:0,s=0,u=e.length;s<u;s++){var g=e[s];r.set(g.id,g),i+=g.elements.length,g.id<a&&(o=!1),a=g.id}for(o||qA(e,0,e.length,lI,_A),s=0,u=e.length;s<u;s++)n.set(e[s].id,s);var c={hashCode:-1,transformHash:-1,elementCount:i,bondCount:-1,uniqueElementCount:-1,atomicResidueCount:-1,polymerResidueCount:-1,polymerGapCount:-1,polymerUnitCount:-1,dynamicBonds:!1,coordinateSystem:gs.Default,label:""};return t.parent&&(c.parent=t.parent.parent||t.parent),t.interUnitBonds&&(c.interUnitBonds=t.interUnitBonds),t.dynamicBonds?c.dynamicBonds=t.dynamicBonds:t.parent&&(c.dynamicBonds=t.parent.dynamicBonds),t.coordinateSystem?c.coordinateSystem=t.coordinateSystem:t.parent&&(c.coordinateSystem=t.parent.coordinateSystem),t.label?c.label=t.label:t.parent&&(c.label=t.parent.label),t.masterModel?c.masterModel=t.masterModel:t.parent&&(c.masterModel=t.parent.masterModel),t.representativeModel?c.representativeModel=t.representativeModel:t.parent&&(c.representativeModel=t.parent.representativeModel),new A(e,r,n,c)}function r(A,e){void 0===e&&(e={});for(var t=A.atomicHierarchy.chainAtomSegments,r=A.atomicHierarchy.index,a=A.atomicHierarchy.chains.auth_asym_id,s=A.atomicChainOperatorMappinng,u=new o(w({label:A.label},e)),g=0;g<t.count;g++){var c=s.get(g)||gs.Default,B=t.offsets[g],l=(po.chainResidueCount(A.atomicHierarchy,g),t.offsets[g+1],t.offsets[g],!1);if(n(A,g))for(;g+1<t.count&&n(A,g+1)&&s.get(g)===s.get(g+1);)l=!0,g++;else for(;g+1<t.count&&t.offsets[g+1]-t.offsets[g]==1&&t.offsets[g+2]-t.offsets[g+1]==1&&r.getEntityFromChain(g)===r.getEntityFromChain(g+1)&&a.value(g)===a.value(g+1)&&s.get(g)===s.get(g+1);)l=!0,g++;var Q=kn.ofBounds(B,t.offsets[g+1]);u.addUnit(0,A,c,Q,l?1:0)}var I=A.coarseHierarchy;return I.isDefined&&(I.spheres.count>0&&i(u,A,A.coarseHierarchy.spheres,1),I.gaussians.count>0&&i(u,A,A.coarseHierarchy.gaussians,2)),u.getStructure()}function n(A,e){var t=A.atomicHierarchy.index.getEntityFromChain(e);return"water"===A.entities.data.type.value(t)}function i(A,e,t,r){for(var n=t.chainElementSegments,i=0;i<n.count;i++){var o=kn.ofBounds(n.offsets[i],n.offsets[i+1]);A.addUnit(r,e,gs.Default,o,0)}}A.Empty=t([]),A.Loci=e,A.toStructureElementLoci=function(A){for(var e=[],t=0,r=A.units;t<r.length;t++){var n=r[t];e.push({unit:n,indices:qr.ofBounds(0,n.elements.length)})}return dI(A,e)},A.toSubStructureElementLoci=function(A,e){return KB.toLociWithSourceUnits(KB.Singletons(A,e))},A.isLoci=function(A){return!!A&&"structure-loci"===A.kind},A.areLociEqual=function(A,e){return A.structure===e.structure},A.isLociEmpty=function(A){return A.structure.isEmpty},A.remapLoci=function(A,t){return t===A.structure?A:e(t)},A.create=t,A.ofTrajectory=function(e,n){return F(this,void 0,void 0,(function(){var i,o,a,s,u,g,c,B,l,Q,I,d,h;return U(this,(function(E){switch(E.label){case 0:if(0===e.frameCount)return[2,A.Empty];i=[],o=void 0,a=0,s=0,u=e.frameCount,E.label=1;case 1:return s<u?[4,Pe.resolveInContext(e.getFrameAtIndex(s),n)]:[3,4];case 2:for(g=E.sent(),o||(o=g),c=r(g),B=0,l=c.units.length;B<l;++B)Q=c.units[B],I=Q.invariantId+a,d=Q.chainGroupId+a,h=TB.create(i.length,I,d,Q.traits,Q.kind,Q.model,Q.conformation.operator,Q.elements),i.push(h);a=i.length,E.label=3;case 3:return++s,[3,1];case 4:return[2,t(i,{representativeModel:o,label:o.label})]}}))}))},A.ofModel=r,A.transform=function(A,e){if(nA.isIdentity(e))return A;if(!nA.isRotationAndTranslation(e,gs.RotationTranslationEpsilon))throw new Error("Only rotation/translation combination can be applied.");for(var r=[],n=0,i=A.units;n<i.length;n++){var o=i[n],a=o.conformation.operator,s=gs.create(a.name,e,a);r.push(o.applyOperator(o.id,s))}var u=A.coordinateSystem;return t(r,{parent:A,coordinateSystem:gs.compose(gs.create(u.name,e,u),u)})};var o=function(){function A(A){void 0===A&&(A={}),this.props=A,this.units=[],this.invariantId=x(),this.chainGroupId=-1,this.inChainGroup=!1,this.p=gA(),this.singleElementUnits=new Map}return A.prototype.beginChainGroup=function(){this.chainGroupId++,this.inChainGroup=!0},A.prototype.endChainGroup=function(){this.inChainGroup=!1},A.prototype.addUnit=function(A,e,t,r,n,i){void 0===i&&(i=this.invariantId());var o=this.inChainGroup?this.chainGroupId:++this.chainGroupId,a=TB.create(this.units.length,i,o,n,A,e,t,r);return this.add(a)},A.prototype.add=function(A){if(1===A.elements.length){A.conformation.position(A.elements[0],this.p);var e=[A.invariantId,this.p[0],this.p[1],this.p[2]].join("|");if(this.singleElementUnits.has(e))return this.singleElementUnits.get(e);this.singleElementUnits.set(e,A)}return this.units.push(A),A},A.prototype.addWithOperator=function(A,e,t){return void 0===t&&(t=!1),this.add(A.applyOperator(this.units.length,e,t))},A.prototype.getStructure=function(){return t(this.units,this.props)},Object.defineProperty(A.prototype,"isEmpty",{get:function(){return 0===this.units.length},enumerable:!1,configurable:!0}),A}();function 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r=0;r<t;r++)if(!dd.areHierarchiesEqual(A.models[r],e.models[r]))return!1;return!0},A.areEquivalent=s,A.areRootsEquivalent=function(A,e){return s(A.root,e.root)},A.areRootsEqual=function(A,e){return A.root===e.root};var u=function(){function A(A){this.structure=A,this.unitIndex=0,this.maxIdx=0,this.idx=-1,this.current=hc.create(A),this.hasNext=A.elementCount>0,this.hasNext&&(this.elements=A.units[0].elements,this.maxIdx=this.elements.length-1,this.current.unit=A.units[0])}return A.prototype.move=function(){return this.advance(),this.current.element=this.elements[this.idx],this.current},A.prototype.advance=function(){if(this.idx<this.maxIdx)return 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t=A.units,r=Number.MAX_VALUE,n=0,i=t.length;n<i;n++)for(var o=t[n],a=o.elements,s=o.conformation,u=s.position,g=s.r,c=0,l=a.length;c<l;c++){var I=a[c],d=B(e,u(I,Q),g(I));d<r&&(r=d)}return r},A.elementDescription=function(A){return 1===A.elementCount?"1 element":"".concat(A.elementCount," elements")},A.validUnitPair=function(A,e,t){return A.masterModel?e.model===t.model||e.model===A.masterModel||t.model===A.masterModel:e.model===t.model},A.eachUnitPair=function(A,e,t){var r=t.maxRadius,n=t.validUnit,i=t.validUnitPair;if(A.units.some((function(A){return n(A)})))for(var o=A.lookup3d,a=gA(),s=0,u=A.units;s<u.length;s++){var g=u[s];if(n(g)){var c=g.boundary.sphere;gA.transformMat4(a,c.center,g.conformation.operator.matrix);for(var B=o.findUnitIndices(a[0],a[1],a[2],c.radius+r),l=0;l<B.count;l++){var Q=A.units[B.indices[l]];!n(Q)||g.id>=Q.id||!i(g,Q)||(Q.elements.length>=g.elements.length?e(g,Q):e(Q,g))}}}},A.eachAtomicHierarchyElement=function(A,e){for(var t=e.chain,r=e.residue,n=e.atom,i=hc.create(A),o=0,a=A.units;o<a.length;o++){var s=a[o];if(0===s.kind){i.unit=s;for(var u=s.elements,g=vi.transientSegments(s.model.atomicHierarchy.chainAtomSegments,u),c=vi.transientSegments(s.model.atomicHierarchy.residueAtomSegments,u);g.hasNext;){var B=g.move();if(t&&(i.element=u[B.start],t(i)),r||n)for(c.setSegment(B);c.hasNext;){var l=c.move();if(r&&(i.element=u[l.start],r(i)),n)for(var Q=l.start,I=l.end;Q<I;Q++)i.element=u[Q],n(i)}}}}},A.DefaultSizeThresholds={smallResidueCount:10,mediumResidueCount:5e3,largeResidueCount:3e4,highSymmetryUnitCount:10,fiberResidueCount:15},function(A){A[A.Small=0]="Small",A[A.Medium=1]="Medium",A[A.Large=2]="Large",A[A.Huge=3]="Huge",A[A.Gigantic=4]="Gigantic"}(l=A.Size||(A.Size={})),A.getSize=function(e,t,r){void 0===t&&(t={}),void 0===r&&(r=1);var n=w(w({},A.DefaultSizeThresholds),t);return e.polymerResidueCount>=n.largeResidueCount*r?function(A,e){var t=I(A);return t.length>=1&&t[0].units.length>e.highSymmetryUnitCount}(e,n)?l.Huge:l.Gigantic:function(A,e){var t=I(A);return 1===t.length&&t[0].units.length>2&&t[0].units[0].polymerElements.length<e.fiberResidueCount}(e,n)||e.polymerResidueCount<n.smallResidueCount*r?l.Small:e.polymerResidueCount<n.mediumResidueCount*r?l.Medium:l.Large},A.Index=Hl.createSimple("index","root"),A.getPrincipalAxes=function(e){if(e.currentPropertyData.__PrincipalAxes__)return e.currentPropertyData.__PrincipalAxes__;var t=dI.getPrincipalAxes(A.toStructureElementLoci(e));return e.currentPropertyData.__PrincipalAxes__=t,t}}(BI||(BI={}));var QI,II=Nr.diff;function dI(A,e){return{kind:"element-loci",structure:A,elements:e}}!function(A){function e(A){for(var e=0,t=A.elements;e<t.length;e++){var r=t[e];if(Tn.size(r.indices)>0)return!1}return!0}function t(A){for(var e=0,t=0,r=A.elements;t<r.length;t++){var n=r[t].indices;e+="number"==typeof n?II(n):n.length}return e}function r(t){return e(t)?t:A(t.structure,[{unit:t.elements[0].unit,indices:Tn.ofSingleton(Tn.start(t.elements[0].indices))}])}function n(A){return A.length>3&&kn.isRange(A)?qr.ofRange(A[0],A[A.length-1]):kn.ofSortedArray(A)}function i(e,t){for(var r=[],i=new Set,o=0,s=e.elements;o<s.length;o++){var u=s[o];if(a(u))r[r.length]=u;else if(0===u.unit.kind){for(var g=u.unit.elements,c=u.unit.model.atomicHierarchy,B=u.unit.model.atomicHierarchy.atoms.label_alt_id,l=c.residueAtomSegments,Q=l.index,I=l.offsets,d=[],h=u.indices,E=Tn.size(h),f=0;f<E;){i.clear();var C=g[Tn.getAt(h,f)],p=Q[C];for(i.add(B.value(C)),f++;f<E;){var m=g[Tn.getAt(h,f)];if(Q[m]!==p)break;i.add(B.value(m)),f++}for(var y=i.has(""),v=I[p],D=I[p+1];v<D;v++){var b=Tn.indexOf(g,v);if(b>=0){var w=B.value(v);t&&!y&&w&&!i.has(w)||(d[d.length]=b)}}}r[r.length]={unit:u.unit,indices:n(d)}}else r[r.length]=u}return A(e.structure,r)}function o(A){switch(A.kind){case 0:return A.model.atomicHierarchy.chainAtomSegments;case 1:return 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o=r;r<n&&TB.areSameChainOperatorGroup(e.elements[r].unit,i.unit);)r++;var s=r;r--,u(e,o,s,!0,t)}else a(i)?t[t.length]=i:u(e,r,r+1,!1,t)}return A(e.structure,t)}function c(A){return"".concat(A.unit.model.id,"|").concat(oQ.entity.id(A))}function B(A,e){for(var t=[],r=0,n=Tn.size(e);r<n;++r)t.push(A[Tn.getAt(e,r)]);return kn.ofSortedArray(t)}function l(A,e){return kn.isRange(A)&&kn.areEqual(A,e)?qr.ofLength(A.length):n(kn.indicesOf(A,e))}A.is=function(A){return!!A&&"element-loci"===A.kind},A.areEqual=function(A,e){if(A.structure!==e.structure)return!1;if(A.elements.length!==e.elements.length)return!1;for(var t=0,r=A.elements.length;t<r;++t){var n=A.elements[t],i=e.elements[t];if(n.unit.id!==i.unit.id)return!1;if(!Tn.areEqual(n.indices,i.indices))return!1}return!0},A.isEmpty=e,A.isWholeStructure=function(A){return t(A)===A.structure.elementCount},A.size=t,A.all=function(e){return A(e,e.units.map((function(A){return{unit:A,indices:Tn.ofBounds(0,A.elements.length)}})))},A.none=function(e){return A(e,[])},A.getFirstLocation=function(A,t){if(!e(A)){var r=A.elements[0].unit,n=r.elements[Tn.getAt(A.elements[0].indices,0)];return t?(t.structure=A.structure,t.unit=A.elements[0].unit,t.element=n,t):hc.create(A.structure,r,n)}},A.firstElement=r,A.firstResidue=function(A){return e(A)?A:i(r(A))},A.firstChain=function(A){return e(A)?A:g(r(A))},A.toStructure=function(A){for(var e=[],t=function(A){var t=A.unit,r=A.indices,n=new Int32Array(Tn.size(r));Tn.forEach(r,(function(A,e){return n[e]=t.elements[A]})),e.push(t.getChild(kn.ofSortedArray(n)))},r=0,n=A.elements;r<n.length;r++)t(n[r]);return BI.create(e,{parent:A.structure.parent})},A.remap=function(e,t){if(t===e.structure)return e;var r=[];return e.elements.forEach((function(A){if(t.unitMap.has(A.unit.id)){var e=t.unitMap.get(A.unit.id),n=Tn.indexedIntersect(A.indices,A.unit.elements,e.elements);Tn.size(n)>0&&r.push({unit:e,indices:n})}})),A(t,r)},A.union=function e(t,r){if(t.elements.length>r.elements.length)return e(r,t);if(A.isEmpty(t))return r;for(var n=new Map,i=0,o=t.elements;i<o.length;i++){var a=o[i];n.set(a.unit.id,a.indices)}for(var s=[],u=0,g=r.elements;u<g.length;u++)a=g[u],n.has(a.unit.id)?(s[s.length]={unit:a.unit,indices:Tn.union(n.get(a.unit.id),a.indices)},n.delete(a.unit.id)):s[s.length]=a;return n.forEach((function(A,e){s[s.length]={unit:t.structure.unitMap.get(e),indices:A}})),A(t.structure,s)},A.subtract=function(e,t){for(var r=new Map,n=0,i=t.elements;n<i.length;n++){var o=i[n];r.set(o.unit.id,o.indices)}for(var a=[],s=0,u=e.elements;s<u.length;s++)if(o=u[s],r.has(o.unit.id)){var g=Tn.subtract(o.indices,r.get(o.unit.id));if(0===Tn.size(g))continue;a[a.length]={unit:o.unit,indices:g}}else a[a.length]=o;return A(e.structure,a)},A.intersect=function(e,t){for(var r=new Map,n=0,i=e.elements;n<i.length;n++){var o=i[n];r.set(o.unit.id,o.indices)}for(var a=[],s=0,u=t.elements;s<u.length;s++)if(o=u[s],r.has(o.unit.id)){var g=Tn.intersect(r.get(o.unit.id),o.indices);0!==Tn.size(g)&&(a[a.length]={unit:o.unit,indices:g})}return A(e.structure,a)},A.areIntersecting=function e(t,r){if(t.elements.length>r.elements.length)return e(r,t);if(A.isEmpty(t))return A.isEmpty(r);for(var n=new Map,i=0,o=t.elements;i<o.length;i++){var a=o[i];n.set(a.unit.id,a.indices)}for(var s=0,u=r.elements;s<u.length;s++)if(a=u[s],n.has(a.unit.id)&&Tn.areIntersecting(n.get(a.unit.id),a.indices))return!0;return!1},A.isSubset=function(e,t){if(A.isEmpty(e))return A.isEmpty(t);for(var r=new Map,n=0,i=e.elements;n<i.length;n++){var o=i[n];r.set(o.unit.id,o.indices)}for(var a=!1,s=0,u=t.elements;s<u.length;s++)if(o=u[s],r.has(o.unit.id)){if(!Tn.isSubset(r.get(o.unit.id),o.indices))return!1;a=!0}return a},A.extendToWholeResidues=i,A.extendToWholeChains=g,A.extendToWholeEntities=function(e){for(var t=[],r=hc.create(e.structure),n=new Set,i=e.structure.units,o=0,a=e.elements.length;o<a;o++){var s=e.elements[o];r.unit=s.unit,r.element=s.unit.elements[0],n.add(c(r))}o=0;for(var u=i.length;o<u;++o){var g=i[o];if(r.unit=g,r.element=g.elements[0],n.has(c(r))){var B=Tn.ofBounds(0,g.elements.length);t[t.length]={unit:g,indices:B}}}return A(e.structure,t)},A.extendToWholeModels=function(e){for(var t=[],r=new Set,n=e.structure.units,i=0,o=e.elements.length;i<o;i++){var a=e.elements[i];r.add(a.unit.model.id)}i=0;for(var s=n.length;i<s;++i){var u=n[i];if(r.has(u.model.id)){var g=Tn.ofBounds(0,u.elements.length);t[t.length]={unit:u,indices:g}}}return A(e.structure,t)},A.extendToAllInstances=function(e){for(var t=[],r=new Map,n=0,i=e.elements.length;n<i;n++){var o=e.elements[n],a=o.unit.model,s=B(o.unit.elements,o.indices);r.has(a)?r.set(a,kn.union(s,r.get(a))):r.set(a,s)}n=0;for(var u=e.structure.units.length;n<u;++n){var g=e.structure.units[n];if(s=r.get(g.model)){var c=l(g.elements,s);t[t.length]={unit:g,indices:c}}}return A(e.structure,t)},A.extendToWholeOperators=function(e){for(var t=[],r=new Set,n=e.structure.units,i=0,o=e.elements.length;i<o;i++){var a=e.elements[i];r.add(a.unit.conformation.operator.name)}i=0;for(var s=n.length;i<s;++i){var u=n[i];if(r.has(u.conformation.operator.name)){var g=Tn.ofBounds(0,u.elements.length);t[t.length]={unit:u,indices:g}}}return A(e.structure,t)};var Q=new SB("98"),I=gA();A.getBoundary=function(A,e){Q.reset();for(var t=0,r=A.elements;t<r.length;t++)for(var n=(B=r[t]).indices,i=B.unit.conformation.position,o=B.unit.conformation.r,a=B.unit.elements,s=0,u=Tn.size(n);s<u;s++)i(l=a[Tn.getAt(n,s)],I),e&&gA.transformMat4(I,I,e),Q.includePositionRadius(I,o(l));Q.finishedIncludeStep();for(var g=0,c=A.elements;g<c.length;g++){var B;for(n=(B=c[g]).indices,i=B.unit.conformation.position,o=B.unit.conformation.r,a=B.unit.elements,s=0,u=Tn.size(n);s<u;s++){var l;i(l=a[Tn.getAt(n,s)],I),e&&gA.transformMat4(I,I,e),Q.radiusPositionRadius(I,o(l))}}return{box:Q.getBox(),sphere:Q.getSphere()}};var d=gA();function h(A,e,t){void 0===t&&(t=0);for(var r=t,n=0,i=A.elements;n<i.length;n++){for(var o=i[n],a=o.indices,s=o.unit.conformation.position,u=o.unit.elements,g=Tn.size(a),c=0;c<g;c++)s(u[Tn.getAt(a,c)],d),gA.toArray(d,e,r+3*c);r+=3*g}return e}function E(A,e){return TB.isAtomic(A)?A.model.atomicHierarchy.atomSourceIndex.value(e):e}function f(A,e,t,r,n){zA(e);for(var i=[],o=[],a=0,s=e.length;a<s;){var u=a;for(a++;a<s&&e[a-1]+1===e[a];)a++;var g=a;if(g-u>12)i[i.length]=e[u],i[i.length]=e[g-1];else for(var c=u;c<g;c++)o[o.length]=e[c]}return t?{atom:{set:o,ranges:i},chain:{opName:[A]},entity:{modelLabel:r,modelIndex:n}}:{atom:{set:o,ranges:i},chain:{opName:[A]}}}A.toPositionsArray=h,A.getPrincipalAxes=function(A){var e=t(A),r=h(A,new Float32Array(3*e));return sB.ofPositions(r)},A.getPrincipalAxesMany=function(A){var e=0;A.forEach((function(A){e+=t(A)}));var r=new Float32Array(3*e),n=0;return A.forEach((function(A){h(A,r,n),n+=3*t(A)})),sB.ofPositions(r)},A.toExpression=function(e){var t;if(A.isEmpty(e))return Oc.struct.generator.empty();for(var r=e.structure.models,n=new Map,i=0,o=e.elements;i<o.length;i++){var a=(h=o[i]).indices,s=h.unit.elements,u=h.unit.conformation.operator.name,g=void 0;n.has(u)?g=n.get(u).xs:(g=zg.create(),n.set(u,{modelLabel:h.unit.model.label,modelIndex:h.unit.model.modelNum,xs:g}));for(var c=0,B=Tn.size(a);c<B;c++){var l=E(h.unit,s[Tn.getAt(a,c)]);zg.add(g,l,l)}}for(var Q=[],I=n.keys();;){var d=I.next();if(d.done)break;var h=n.get(d.value);Q.push(f(d.value,h.xs.array,r.length>1,h.modelLabel,h.modelIndex))}for(var C=new Map,p=(c=0,Q.length);c<p;++c){var m=Q[c],y=re(ae(m.atom.ranges),ae(m.atom.set));u="".concat(y,"|").concat(m.entity?m.entity.modelLabel+m.entity.modelIndex:""),C.has(u)?(t=C.get(u).chain.opName).push.apply(t,m.chain.opName):C.set(u,m)}var v=[];return C.forEach((function(A){var e=A.atom,t=e.ranges,r=e.set,n=A.chain.opName,i=Oc.struct.atomProperty.core.operatorName(),o=Oc.struct.atomProperty.core.sourceIndex(),a=[];r.length>0&&(a[a.length]=Oc.core.set.has([Oc.core.type.set(r),o]));for(var s=0,u=t.length/2;s<u;s++)a[a.length]=Oc.core.rel.inRange([o,t[2*s],t[2*s+1]]);if(A.entity){var g=A.entity,c=g.modelLabel,B=g.modelIndex;v.push(Oc.struct.generator.atomGroups({"atom-test":a.length>1?Oc.core.logic.or(a):a[0],"chain-test":n.length>1?Oc.core.set.has([Oc.core.type.set(n),i]):Oc.core.rel.eq([i,n[0]]),"entity-test":Oc.core.logic.and([Oc.core.rel.eq([Oc.struct.atomProperty.core.modelLabel(),c]),Oc.core.rel.eq([Oc.struct.atomProperty.core.modelIndex(),B])])}))}else v.push(Oc.struct.generator.atomGroups({"atom-test":a.length>1?Oc.core.logic.or(a):a[0],"chain-test":n.length>1?Oc.core.set.has([Oc.core.type.set(n),i]):Oc.core.rel.eq([i,n[0]])}))})),Oc.struct.modifier.union([1===v.length?v[0]:Oc.struct.combinator.merge(v.map((function(A){return Oc.struct.modifier.union([A])})))])}}(dI||(dI={})),function(A){function e(){return{elementCount:0,conformationCount:0,residueCount:0,chainCount:0,unitCount:0,structureCount:0,firstElementLoc:hc.create(void 0),firstConformationLoc:hc.create(void 0),firstResidueLoc:hc.create(void 0),firstChainLoc:hc.create(void 0),firstUnitLoc:hc.create(void 0),firstStructureLoc:hc.create(void 0)}}function t(A,e,t){var r=A.get(e)||0;A.set(e,r+t)}function r(A,e,r){var n=r.indices,i=r.unit,o=i.elements,a=Tn.size(n),s=new Map,u=new Map;if(a>0&&hc.set(A.firstElementLoc,e,i,o[Tn.start(n)]),a===o.length)A.unitCount+=1,1===A.unitCount&&hc.set(A.firstUnitLoc,e,i,o[Tn.start(n)]);else if(1===a){if(TB.Traits.is(i.traits,1))return;A.elementCount+=1,1===A.elementCount&&hc.set(A.firstElementLoc,e,i,o[Tn.start(n)])}else if(TB.isAtomic(i))for(var g=i.model.atomicHierarchy.residueAtomSegments,c=g.index,B=g.offsets,l=i.model.atomicHierarchy.atoms.label_alt_id,Q=0,I=function(){s.clear();var r=0,g=o[Tn.getAt(n,Q)],I=c[g];for(t(s,l.value(g),1),++Q,++r;Q<a;){var d=o[Tn.getAt(n,Q)];if(c[d]!==I)break;t(s,l.value(d),1),++Q,++r}if(B[I+1]-B[I]===r)A.residueCount+=1,1===A.residueCount&&hc.set(A.firstResidueLoc,e,i,B[I]);else{u.clear();for(var h=B[I],E=B[I+1];h<E;++h)t(u,l.value(h),1);u.get("")===s.get("")&&s.forEach((function(t,n){if(u.get(n)===t){if(""!==n&&(A.conformationCount+=1,1===A.conformationCount))for(var o=B[I],a=B[I+1];o<a;++o)if(n===l.value(o)){hc.set(A.firstConformationLoc,e,i,o);break}r-=t}})),A.elementCount+=r}};Q<a;)I();else A.elementCount+=a,1===A.elementCount&&hc.set(A.firstElementLoc,e,i,o[Tn.start(n)])}function n(A,e,t){var r=t.indices,n=t.unit,i=Tn.size(r);if(0!==i){var o=n.elements;if(TB.Traits.is(n.traits,1)){var a=TB.isAtomic(n)?n.model.atomicHierarchy.chainAtomSegments:TB.isSpheres(n)?n.model.coarseHierarchy.spheres.chainElementSegments:TB.isGaussians(n)?n.model.coarseHierarchy.gaussians.chainElementSegments:void 0;if(a)for(var s=a.index,u=a.offsets,g=0;g<i;){var c=0,B=s[o[Tn.getAt(r,g)]];for(++g,++c;g<i&&s[o[Tn.getAt(r,g)]]===B;)++g,++c;u[B+1]-u[B]===c&&(A.chainCount+=1,1===A.chainCount&&hc.set(A.firstChainLoc,e,n,u[B]))}else console.warn("StructureElement loci stats: unknown unit type")}else i===o.length&&(A.chainCount+=1,1===A.chainCount&&hc.set(A.firstChainLoc,e,n,o[Tn.start(r)]))}}function i(A,e,r,n,i){var o=r[n],a=TB.isAtomic(o.unit)?o.unit.model.atomicHierarchy.chainAtomSegments:TB.isSpheres(o.unit)?o.unit.model.coarseHierarchy.spheres.chainElementSegments:TB.isGaussians(o.unit)?o.unit.model.coarseHierarchy.gaussians.chainElementSegments:void 0;if(a){for(var s=a.index,u=a.offsets,g=new Map,c=n;c<i;c++){var B=(o=r[c]).indices,l=o.unit;if(0!==(f=Tn.size(B))){var Q=l.elements;if(TB.Traits.is(l.traits,1))for(var I=0;I<f;){var d=0,h=s[C=Q[Tn.getAt(B,I)]];for(++I,++d;I<f&&s[Q[Tn.getAt(B,I)]]===h;)++I,++d;t(g,h,d)}else t(g,s[C=Q[Tn.start(B)]],Q.length)}}var E=-1;if(g.forEach((function(e,t){u[t+1]-u[t]===e&&(A.chainCount+=1,1===A.chainCount&&(E=t))})),!(E<0))for(c=n;c<i;c++){var f;if(B=(o=r[c]).indices,l=o.unit,0!==(f=Tn.size(B)))for(Q=l.elements,I=0;I<f;){var C;if((h=s[C=Q[Tn.getAt(B,I)]])===E)return void hc.set(A.firstChainLoc,e,l,C)}}}else console.warn("StructureElement loci stats: unknown unit type")}A.create=e,A.ofLoci=function(A){var t=e();if(dI.isEmpty(A))return t;var o=!1;if(dI.isWholeStructure(A)){if(t.structureCount+=1,1===t.structureCount){var a=A.elements[0],s=a.unit,u=a.indices;hc.set(t.firstStructureLoc,A.structure,s,s.elements[Tn.min(u)])}}else for(var g=0,c=A.elements;g<c.length;g++){var B=c[g];r(t,A.structure,B),TB.Traits.is(B.unit.traits,2)?o=!0:n(t,A.structure,B)}if(o)for(var l=0,Q=A.elements.length;l<Q;l++)if(B=A.elements[l],TB.Traits.is(B.unit.traits,2)){for(var I=l;l<Q&&TB.areSameChainOperatorGroup(A.elements[l].unit,B.unit);)l++;var d=l;l--,d-I==1?n(t,A.structure,B):i(t,A.structure,A.elements,I,d)}return t},A.add=function(A,e,t){return 1===e.elementCount&&0===t.elementCount?hc.copy(A.firstElementLoc,e.firstElementLoc):0===e.elementCount&&1===t.elementCount&&hc.copy(A.firstElementLoc,t.firstElementLoc),1===e.conformationCount&&0===t.conformationCount?hc.copy(A.firstConformationLoc,e.firstConformationLoc):0===e.conformationCount&&1===t.conformationCount&&hc.copy(A.firstConformationLoc,t.firstConformationLoc),1===e.residueCount&&0===t.residueCount?hc.copy(A.firstResidueLoc,e.firstResidueLoc):0===e.residueCount&&1===t.residueCount&&hc.copy(A.firstResidueLoc,t.firstResidueLoc),1===e.chainCount&&0===t.chainCount?hc.copy(A.firstChainLoc,e.firstChainLoc):0===e.chainCount&&1===t.chainCount&&hc.copy(A.firstChainLoc,t.firstChainLoc),1===e.unitCount&&0===t.unitCount?hc.copy(A.firstUnitLoc,e.firstUnitLoc):0===e.unitCount&&1===t.unitCount&&hc.copy(A.firstUnitLoc,t.firstUnitLoc),1===e.structureCount&&0===t.structureCount?hc.copy(A.firstStructureLoc,e.firstStructureLoc):0===e.structureCount&&1===t.structureCount&&hc.copy(A.firstStructureLoc,t.firstStructureLoc),A.elementCount=e.elementCount+t.elementCount,A.conformationCount=e.conformationCount+t.conformationCount,A.residueCount=e.residueCount+t.residueCount,A.chainCount=e.chainCount+t.chainCount,A.unitCount=e.unitCount+t.unitCount,A.structureCount=e.structureCount+t.structureCount,A}}(QI||(QI={})),oc.Field;var hI=oc.Encodings;function EI(A,e){return A?"".concat(A,"_").concat(e):e}function fI(A,e){return function(t,r){return e(A(t,r))}}function CI(A,e){var t=e&&e.prefix,r=oc.fields().str(EI(t,"label_comp_id"),fI(A,oQ.atom.label_comp_id)).int(EI(t,"label_seq_id"),fI(A,oQ.residue.label_seq_id),{encoder:hI.deltaRLE,valueKind:function(e,t){var r=A(e,t),n=r.unit.model;return n.atomicHierarchy.residues.label_seq_id.valueKind(n.atomicHierarchy.residueAtomSegments.index[r.element])}}).str(function(A){return A?"pdbx_".concat(A,"_PDB_ins_code"):"pdbx_PDB_ins_code"}(t),fI(A,oQ.residue.pdbx_PDB_ins_code)).str(EI(t,"label_asym_id"),fI(A,oQ.chain.label_asym_id)).str(EI(t,"label_entity_id"),fI(A,oQ.chain.label_entity_id)).str(EI(t,"auth_comp_id"),fI(A,oQ.atom.auth_comp_id)).int(EI(t,"auth_seq_id"),fI(A,oQ.residue.auth_seq_id),{encoder:hI.deltaRLE}).str(EI(t,"auth_asym_id"),fI(A,oQ.chain.auth_asym_id));return function(A,e,t){t&&t.includeModelNum&&A.int("pdbx_PDB_model_num",fI(e,oQ.unit.model_num))}(r,A,e),r.getFields()}oc.Field;function pI(A,e){if(dc.is(A.sourceData))return A.sourceData.data.db[e]}function mI(A){if(0===A.length)return[];if(1===A.length)return A[0].entityIndices;for(var e=zg.create(),t=0,r=A;t<r.length;t++)for(var n=0,i=r[t].entityIndices;n<i.length;n++){var o=i[n];zg.add(e,o,o)}return zA(e.array),e.array}function yI(A,e){return{name:A,instance:function(t){var r=t.structures;if(e&&!e(r[0]))return oc.Category.Empty;var n=r[0].model;if(!dc.is(n.sourceData))return oc.Category.Empty;var i=n.sourceData.data.db[A];return i&&i._rowCount?oc.Category.ofTable(i):oc.Category.Empty}}}oc.Category;var vI=oc.Category;DI("struct_asym"),DI("entity_poly"),DI("entity_poly_seq");function DI(A){return{name:A,instance:function(e){var t=e.structures,r=e.cache;return function(A,e,t){var r=pI(A[0].model,e);if(!r)return vI.Empty;var n=r.entity_id,i=t.uniqueEntityIds||(t.uniqueEntityIds=function(A){if(0===A.length)return new Set;var e=A[0].model.entities.data.id;return new Set(mI(A).map((function(A){return e.value(A)})))}(A)),o=XA.indicesOf(n,(function(A){return i.has(A)}));return vI.ofTable(r,o)}(t,A,r)}}}var bI;oc.Category;!function(A){A.create=function(A){var e=Array.isArray(A)?A:[A];return{structures:e,firstModel:e[0].model,cache:Object.create(null)}}}(bI||(bI={}));var wI;function FI(A){return A.units.every((function(A){return A.conformation.operator.isIdentity}))}yI("entry"),yI("exptl"),yI("cell",FI),yI("symmetry",FI),yI("pdbx_struct_assembly",FI),yI("pdbx_struct_assembly_gen",FI),yI("pdbx_struct_oper_list",FI),yI("pdbx_entity_branch"),yI("pdbx_entity_branch_link"),yI("pdbx_branch_scheme"),yI("struct_conn"),yI("atom_sites"),function(A){A.AtomSitePositionsFieldNames=new Set(["id","Cartn_x","Cartn_y","Cartn_z"])}(wI||(wI={}));var UI,SI={molstar_atom_site_operator_mapping:{label_asym_id:XA.Schema.Str(),auth_asym_id:XA.Schema.Str(),operator_name:XA.Schema.Str(),suffix:XA.Schema.Str(),assembly_id:XA.Schema.Str(),assembly_operator_id:XA.Schema.Int(),symmetry_operator_index:XA.Schema.Int(),symmetry_hkl:XA.Schema.Vector(3),ncs_id:XA.Schema.Int()}},NI=function(A,e){return void 0===e[A].operator.assembly?1:0},RI=function(A,e){return-1===e[A].operator.spgrOp?1:0};function HI(A,e,t){A[e].isDefined||(A[e]=A[t]),A[t].isDefined||(A[t]=A[e])}function GI(A,e,t,r,n,i){var o=function(A){if(0===A._rowCount)return{residues:[],chains:[]};for(var e=A._rowCount,t=[0],r=[0],n=A.label_entity_id,i=A.label_asym_id,o=A.label_seq_id,a=A.auth_seq_id,s=A.pdbx_PDB_ins_code,u=1;u<e;u++){var g=!n.areValuesEqual(u-1,u)||!i.areValuesEqual(u-1,u);(g||!o.areValuesEqual(u-1,u)||!a.areValuesEqual(u-1,u)||!s.areValuesEqual(u-1,u))&&(t[t.length]=u),g&&(r[r.length]=u)}return{residues:t,chains:r}}(A),a=function(A,e,t){var r=$A.ofColumns(Ro,{type_symbol:XA.ofArray({array:XA.mapToArray(A.type_symbol,fa),schema:XA.Schema.Aliased(XA.Schema.str)}),label_atom_id:A.label_atom_id,auth_atom_id:A.auth_atom_id,label_alt_id:A.label_alt_id,label_comp_id:A.label_comp_id,auth_comp_id:A.auth_comp_id,pdbx_formal_charge:A.pdbx_formal_charge}),n=$A.view(A,Ho,t.residues),i=$A.view(A,Go,t.chains);if(!n.label_seq_id.isDefined){for(var o=new Int32Array(n.label_seq_id.rowCount),a=t.residues,s=t.chains,u=0,g=0,c=0,B=o.length;c<B;++c)a[c]>=s[u+1]&&(u+=1,g=0),o[c]=++g;n.label_seq_id=XA.ofIntArray(o)}return $A.columnToArray(n,"label_seq_id",Int32Array),$A.columnToArray(n,"auth_seq_id",Int32Array),HI(r,"label_atom_id","auth_atom_id"),HI(r,"label_comp_id","auth_comp_id"),HI(n,"label_seq_id","auth_seq_id"),HI(i,"label_asym_id","auth_asym_id"),{atoms:r,residues:n,chains:i,atomSourceIndex:e}}(A,e,o),s=function(A,e){var t=new Map;if(!dc.is(e))return t;var r=_u(SI,e.data.frame).molstar_atom_site_operator_mapping;if(0===r._rowCount)return t;for(var n=new Map,i=new Map,o=0;o<r._rowCount;o++){var a=0===r.assembly_operator_id.valueKind(o)?{id:r.assembly_id.value(o),operList:[],operId:r.assembly_operator_id.value(o)}:void 0,s=gs.create(r.operator_name.value(o),nA.identity(),{assembly:a,spgrOp:0===r.symmetry_operator_index.valueKind(o)?r.symmetry_operator_index.value(o):void 0,hkl:gA.ofArray(r.symmetry_hkl.value(o)),ncsId:r.ncs_id.value(o)}),u=r.suffix.value(o),g=r.label_asym_id.value(o);n.set("".concat(g).concat(u),{name:g,operator:s});var c=r.auth_asym_id.value(o);i.set("".concat(c).concat(u),c)}var B=A.chains,l=B.label_asym_id,Q=B.auth_asym_id,I=new Array(l.rowCount),d=new Array(l.rowCount);for(o=0;o<l.rowCount;o++)if(g=l.value(o),c=Q.value(o),n.has(g)){var h=n.get(g),E=h.name;s=h.operator,t.set(o,s),I[o]=E,d[o]=i.get(c)||c}else I[o]=g,d[o]=c;return A.chains.label_asym_id=XA.ofArray({array:I,valueKind:A.chains.label_asym_id.valueKind,schema:A.chains.label_asym_id.schema}),A.chains.auth_asym_id=XA.ofArray({array:d,valueKind:A.chains.auth_asym_id.valueKind,schema:A.chains.auth_asym_id.schema}),t}(a,n);if(i&&function(A,e){return $A.areEqual(A.chains,e.chains)&&$A.areEqual(A.residues,e.residues)&&$A.areEqual(A.atoms,e.atoms)}(i.atomicHierarchy,a))return{sameAsPrevious:!0,hierarchy:i.atomicHierarchy,chainOperatorMapping:s};var u={residueAtomSegments:vi.ofOffsets(o.residues,qr.ofBounds(0,A._rowCount)),chainAtomSegments:vi.ofOffsets(o.chains,qr.ofBounds(0,A._rowCount))},g=function(A,e,t){for(var r=function(A,e,t){return{entities:A,segments:t,label_seq_id:kn.ofSortedArray(e.residues.label_seq_id.toArray({array:Int32Array})),label_atom_id:e.atoms.label_atom_id,auth_atom_id:e.atoms.auth_atom_id,label_alt_id:e.atoms.label_alt_id,chain_index_entity_index:new Int32Array(e.chains._rowCount),entity_index_label_asym_id:new Map,chain_index_label_seq_id:new Map,auth_asym_id_auth_seq_id:new Map,chain_index_auth_seq_id:new Map,label_asym_id:new Map}}(e,A,t),n=A.residues,i=n.label_seq_id,o=n.auth_seq_id,a=n.pdbx_PDB_ins_code,s=A.chains,u=s.label_entity_id,g=s.label_asym_id,c=s.auth_asym_id,B=qr.ofBounds(0,A.atoms._rowCount),l=vi.transientSegments(t.chainAtomSegments,B);l.hasNext;){var Q=l.move(),I=Q.index,d=e.getEntityIndex(u.value(I));d<0&&To(u.value(I)),r.chain_index_entity_index[I]=d;var h=c.value(I),E=r.auth_asym_id_auth_seq_id.get(h);E||(E=new Map,r.auth_asym_id_auth_seq_id.set(h,E));var f=g.value(I);r.label_asym_id.has(f)||r.label_asym_id.set(f,d),Vo(r.entity_index_label_asym_id,d,f,I);var C=new Map,p=new Map;r.chain_index_label_seq_id.set(I,C),r.chain_index_auth_seq_id.set(I,p);for(var m=vi.transientSegments(t.residueAtomSegments,B,Q);m.hasNext;){var y=m.move().index,v=o.value(y),D=a.value(y);C.set(_o(i.value(y),D),y),p.set(_o(v,D),y),E.set(v,I)}}return new Ko(r)}(a,t,u),c=function(A,e,t,r){for(var n=A.atoms,i=n.label_comp_id,o=n.type_symbol,a=n._rowCount,s=A.residues._rowCount,u=e.residueAtomSegments.offsets,g=new Uint8Array(a),c=0;c<a;++c)g[c]=Yo(o.value(c));var B=new Int32Array(s),l=new Int32Array(s),Q=new Int32Array(s),I=new Uint8Array(s),d=new Uint8Array(s),h=new Map,E=new Map;for(c=0;c<s;++c){var f=i.value(u[c]),C=r,p=void 0,m=void 0;if(h.has(f))p=h.get(f),m=E.get(f);else{var y=void 0;C.has(f)?y=C.get(f).type:(we||console.info("chemComp not found",f),y=As(f)),m=$a(y,p=Xa(y,f)),h.set(f,p),E.set(f,m)}I[c]=p,d[c]=m;var v=us(m,"trace"),D=t.findAtomsOnResidue(c,v);if(-1===D){var b=us(m,"coarseBackbone");D=t.findAtomsOnResidue(c,b)}B[c]=D;var w=us(m,"directionFrom");l[c]=t.findAtomsOnResidue(c,w);var F=us(m,"directionTo");Q[c]=t.findAtomsOnResidue(c,F)}return{atom:{atomicNumber:g},residue:{traceElementIndex:B,directionFromElementIndex:l,directionToElementIndex:Q,moleculeType:I,polymerType:d}}}(a,u,g,r);return{sameAsPrevious:!1,hierarchy:w(w(w({},a),u),{index:g,derived:c}),chainOperatorMapping:s}}function MI(A,e,t,r,n,i){var o=GI(A,e,t,r,n,i),a=o.sameAsPrevious,s=o.hierarchy,u=o.chainOperatorMapping,g=function(A){return{id:N.create22(),atomId:A.id,occupancy:A.occupancy.isDefined?A.occupancy:XA.ofConst(1,A._rowCount,XA.Schema.float),B_iso_or_equiv:A.B_iso_or_equiv,xyzDefined:A.Cartn_x.isDefined&&A.Cartn_y.isDefined&&A.Cartn_z.isDefined,x:A.Cartn_x.toArray({array:Float32Array}),y:A.Cartn_y.toArray({array:Float32Array}),z:A.Cartn_z.toArray({array:Float32Array})}}(A);return{sameAsPrevious:a,hierarchy:s,conformation:g,chainOperatorMapping:u}}function LI(A,e,t){if(A.has(e))return A.get(e);var r=t.index++;return A.set(e,r),r}function xI(A,e){if(A.has(e))return A.get(e);var t=new Map;return A.set(e,t),t}function kI(A){throw new Error("Missing entity entry for entity id '".concat(A,"'."))}function YI(A,e){for(var t=A.entity_id,r=A.asym_id,n=A.seq_id_begin,i=A.seq_id_end,o=A.count,a=A.chainElementSegments,s=new Map,u=new Map,g={index:0},c=new Int32Array(o),B=new Int32Array(o),l=new Int32Array(a.count),Q=0;Q<o;Q++)B[Q]=e.getEntityIndex(t.value(Q)),B[Q]<0&&kI(t.value(Q));for(var I=0;I<a.count;I++){var d=a.offsets[I],h=a.offsets[I+1],E=B[d];l[I]=E;var f=LI(xI(u,E),r.value(d),g);for(Q=d;Q<h;Q++)c[Q]=f;var C=[],p=[];for(Q=d;Q<h;Q++){var m=n.value(Q),y=i.value(Q);C.push(Q),p.push(m,y)}var v={elementIndices:C,seqRanges:mB.ofSortedRanges(p)};s.set(f,v)}var D=function(A,e,t){var r=A.getEntityIndex;return{findChainKey:function(A,t){var n=r(A);if(n<0)return-1;var i=e.get(n);return i.has(t)?i.get(t):-1},findSequenceKey:function(A,n,i){var o=r(A);if(o<0)return-1;var a=e.get(o);if(void 0===a)return-1;var s=a.get(n);if(void 0===s)return-1;var u=t.get(s),g=u.elementIndices,c=u.seqRanges,B=mB.firstIntersectionIndex(c,Tn.ofSingleton(i));return-1!==B?g[B]:-1}}}(e,u,s),b=D.findChainKey;return{chainKey:c,entityKey:B,findSequenceKey:D.findSequenceKey,findChainKey:b,getEntityFromChain:function(A){return l[A]}}}function _I(A,e){for(var t=[],r=[],n=vi.transientSegments(A.chainElementSegments,qr.ofBounds(0,A.count)),i=A.seq_id_begin,o=A.seq_id_end;n.hasNext;)for(var a=n.move(),s=a.start,u=a.end,g=-1,c=-1,B=s;B<u;++B){var l=o.value(B);B===s?(g=B,c=o.value(B)):i.value(B)-c>1&&(t.push(g,B-1),r.push(B-1,B),g=B),B===u-1&&t.push(g,B),c=l}return{polymerRanges:mB.ofSortedRanges(t),gapRanges:mB.ofSortedRanges(r)}}oc.fields().str("label_asym_id",(function(A,e){return e[A].label_asym_id})).str("auth_asym_id",(function(A,e){return e[A].auth_asym_id})).str("operator_name",(function(A,e){return e[A].operator.name})).str("suffix",(function(A,e){return e[A].operator.suffix})).str("assembly_id",(function(A,e){var t;return(null===(t=e[A].operator.assembly)||void 0===t?void 0:t.id)||""}),{valueKind:NI}).int("assembly_operator_id",(function(A,e){var t;return(null===(t=e[A].operator.assembly)||void 0===t?void 0:t.operId)||0}),{valueKind:NI}).int("symmetry_operator_index",(function(A,e){return e[A].operator.spgrOp}),{valueKind:RI}).vec("symmetry_hkl",[function(A,e){return e[A].operator.hkl[0]},function(A,e){return e[A].operator.hkl[1]},function(A,e){return e[A].operator.hkl[2]}],{valueKind:RI}).int("ncs_id",(function(A,e){return e[A].operator.ncsId}),{valueKind:RI}).getFields(),function(A){A.Empty={isDefined:!1}}(UI||(UI={}));var VI={label_comp_id:No.atom_site.label_comp_id,label_seq_id:No.atom_site.label_seq_id,pdbx_PDB_ins_code:No.atom_site.pdbx_PDB_ins_code,label_asym_id:No.atom_site.label_asym_id,label_entity_id:No.atom_site.label_entity_id,auth_comp_id:No.atom_site.auth_atom_id,auth_seq_id:No.atom_site.auth_seq_id,auth_asym_id:No.atom_site.auth_asym_id},TI=(w(w({},No.chem_comp_bond),{molstar_protonation_variant:XA.Schema.Str()}),w(w({},No.chem_comp),{type:XA.Schema.Aliased(XA.Schema.str)})),PI={entry:No.entry,struct:No.struct,struct_asym:No.struct_asym,ihm_model_list:No.ihm_model_list,ihm_model_group:No.ihm_model_group,ihm_model_group_link:No.ihm_model_group_link,entity:No.entity,entity_poly:No.entity_poly,entity_poly_seq:No.entity_poly_seq,pdbx_entity_branch:No.pdbx_entity_branch,chem_comp:TI,pdbx_chem_comp_identifier:No.pdbx_chem_comp_identifier,atom_site:No.atom_site,ihm_sphere_obj_site:No.ihm_sphere_obj_site,ihm_gaussian_obj_site:No.ihm_gaussian_obj_site,pdbx_unobs_or_zero_occ_residues:No.pdbx_unobs_or_zero_occ_residues,pdbx_molecule:No.pdbx_molecule};function JI(A){for(var e=Object.create(null),t=0,r=Object.keys(PI);t<r.length;t++){var n=r[t];e[n]=n in A?A[n]:$A.ofUndefinedColumns(PI[n],0)}return e}var OI={hierarchy:UI.Empty,conformation:void 0};function KI(A){var e=A.entity_id,t=A.seq_id_begin,r=A.seq_id_end,n=A.asym_id;return w({count:e.rowCount,entity_id:e,asym_id:n,seq_id_begin:t,seq_id_end:r},function(A,e,t){for(var r=[0],n=1,i=A.rowCount;n<i;n++)!A.areValuesEqual(n-1,n)&&(r[r.length]=n);return{chainElementSegments:vi.ofOffsets(r,qr.ofBounds(0,A.rowCount))}}(n))}var jI,zI,qI={HIS:"H",ARG:"R",LYS:"K",ILE:"I",PHE:"F",LEU:"L",TRP:"W",ALA:"A",MET:"M",PRO:"P",CYS:"C",ASN:"N",VAL:"V",GLY:"G",SER:"S",GLN:"Q",TYR:"Y",ASP:"D",GLU:"E",THR:"T",SEC:"U",PYL:"O",HSD:"H",HSE:"H",HSP:"H",LSN:"K",ASPP:"D",GLUP:"E",HID:"H",HIE:"H",HIP:"H",LYN:"K",ASH:"D",GLH:"E"},ZI={DA:"A",DC:"C",DG:"G",DT:"T",DU:"U"},WI={A:"A",C:"C",G:"G",T:"T",U:"U"};function XI(A){return qI[A]||"X"}function $I(A){return WI[A]||"X"}function Ad(A){return ZI[A]||"X"}function ed(A,e,t,r){if(!A.entity_poly_seq||!A.entity_poly_seq._rowCount)return zI.fromHierarchy(e,t,r);for(var n=A.entity_poly_seq,i=n.entity_id,o=n.num,a=n.mon_id,s={},u=[],g=i.rowCount,c=0;c<g;){for(var B=c;c<g-1&&i.areValuesEqual(c,c+1);)c++;c++;var l=i.value(B),Q=XA.window(a,B,c),I=XA.window(o,B,c),d=e.getEntityIndex(l);s[d]={entityId:l,sequence:jI.ofResidueNames(Q,I)},u.push(s[d])}return{byEntityKey:s,sequences:u}}function td(A,e,t,r){return F(this,void 0,void 0,(function(){var n,i,o,a,s,u,g,c,B,l,Q;return U(this,(function(I){switch(I.label){case 0:return n=me(t,r-1),i=e.label_entity_id,o=e.label_asym_id,a=e.label_seq_id,s=WA(n,i.value),A.shouldUpdate?[4,A.update()]:[3,2];case 1:I.sent(),I.label=2;case 2:u=0,g=s.length-1,I.label=3;case 3:if(!(u<g))return[3,10];c=WA(n,o.value,{start:s[u],end:s[u+1]}),B=0,l=c.length-1,I.label=4;case 4:return B<l?(Q=c[B],0!==a.valueKind(Q)?[3,6]:(WA(n,a.value,{sort:!0,start:Q,end:c[B+1]}),A.shouldUpdate?[4,A.update()]:[3,6])):[3,7];case 5:I.sent(),I.label=6;case 6:return B++,[3,4];case 7:return A.shouldUpdate?[4,A.update()]:[3,9];case 8:I.sent(),I.label=9;case 9:return u++,[3,3];case 10:return function(A){for(var e=0,t=A.length;e<t;e++)if(A[e]!==e)return!1;return!0}(n)&&n.length===e._rowCount?[2,{atom_site:e,sourceIndex:XA.ofIntArray(n)}]:[2,{atom_site:$A.view(e,e._schema,n),sourceIndex:XA.ofIntArray(n)}]}}))}))}function rd(A,e,t,r,n){var i=n.residue,o=i.polymerType,a=i.traceElementIndex,s=i.directionFromElementIndex,u=i.directionToElementIndex,g=o[A],c=o[e];if(0===g||0===c)return!1;if(-1===a[A]||-1===a[e])return!1;var B=r.findAtomsOnResidue(A,us(g,"backboneStart")),l=r.findAtomsOnResidue(e,us(c,"backboneEnd"));-1!==B&&-1!==l||(B=r.findAtomsOnResidue(A,us(g,"coarseBackbone")),l=r.findAtomsOnResidue(e,us(c,"coarseBackbone")));var Q=t.x,I=t.y,d=t.z,h=gA.create(Q[B],I[B],d[B]),E=gA.create(Q[l],I[l],d[l]),f=-1===s[A]||-1===u[A]||-1===s[e]||-1===u[e];return gA.distance(h,E)<(f?10:3)}function nd(A,e,t,r){for(var n,i,o,a,s=[],u=[],g=new Map,c=vi.transientSegments(A.chainAtomSegments,qr.ofBounds(0,A.atoms._rowCount)),B=vi.transientSegments(A.residueAtomSegments,qr.ofBounds(0,A.atoms._rowCount)),l=A.index,Q=A.derived,I=A.residues.label_seq_id,d=A.chains.label_entity_id,h=Q.residue,E=h.moleculeType,f=h.traceElementIndex;c.hasNext;){var C=c.move();B.setSegment(C),n=-1,i=-1,o=-1,a=-1;var p=e.getEntityIndex(d.value(C.index)),m=r.byEntityKey[p],y=m?m.sequence.seqId.value(m.sequence.seqId.rowCount-1):-1,v=A.residueAtomSegments.index[C.start],D=A.residueAtomSegments.index[C.end-1],b=I.value(v),w=I.value(D);for(1===b&&w===y&&t.xyzDefined&&rd(v,D,t,l,Q)&&(g.set(v,D),g.set(D,v));B.hasNext;){var F=B.move(),U=F.index,S=I.value(U);if(rs(E[U])&&-1!==f[U])if(-1!==a)if(S!==n+1)s.push(a,o-1),u.push(i,F.end-1),a=F.start;else if(B.hasNext){var N=A.residueAtomSegments.index[F.start],R=A.residueAtomSegments.index[o-1];t.xyzDefined&&!rd(N,R,t,A.index,Q)&&(s.push(a,o-1),u.push(i,F.end-1),a=F.start)}else s.push(a,F.end-1);else a=F.start;else-1!==a&&(s.push(a,o-1),a=-1);i=F.start,o=F.end,n=S}}return{polymerRanges:mB.ofSortedRanges(s),gapRanges:mB.ofSortedRanges(u),cyclicPolymerMap:g}}function id(A){var e=void 0,t=void 0;return function(){for(var r=[],n=0;n<arguments.length;n++)r[n]=arguments[n];if(!e||e.length!==r.length)return e=r,t=A.apply(void 0,r);for(var i=0,o=r.length;i<o;i++)if(r[i]!==e[i])return e=r,t=A.apply(void 0,r);return t}}function od(A){var e=new Map;return function(t){if(e.has(t))return e.get(t);var r=A(t);return e.set(t,r),r}}function ad(A){for(var e=new Map,t=function(A,e,t){return"".concat(A,"|").concat(e,"|").concat(t)},r=A.pdbx_unobs_or_zero_occ_residues,n=0,i=r._rowCount;n<i;++n){var o=t(r.PDB_model_num.value(n),r.label_asym_id.value(n),r.label_seq_id.value(n));e.set(o,{polymer_flag:r.polymer_flag.value(n),occupancy_flag:r.occupancy_flag.value(n)})}return{has:function(A,r,n){return e.has(t(A,r,n))},get:function(A,r,n){return e.get(t(A,r,n))},size:e.size}}function sd(A){var e=new Map;if(A.chem_comp._rowCount>0)for(var t=A.chem_comp.id,r=0,n=t.rowCount;r<n;++r)e.set(t.value(r),$A.getRow(A.chem_comp,r));else gd(A).forEach((function(A){e.set(A,function(A){return{formula:"",formula_weight:0,id:A,name:A,mon_nstd_flag:Wa.has(A)?"y":"n",pdbx_synonyms:[],type:As(A)}}(A))}));return e}function ud(A){var e=new Map;if(A.pdbx_chem_comp_identifier._rowCount>0)for(var t=A.pdbx_chem_comp_identifier,r=t.comp_id,n=t.type,i=t.identifier,o=0,a=r.rowCount;o<a;++o)if("SNFG CARBOHYDRATE SYMBOL"===n.value(o)||"SNFG CARB SYMBOL"===n.value(o)){var s=i.value(o),u=ua.get(s);u?e.set(r.value(o),u):console.warn("Unknown SNFG name '".concat(s,"'"))}if(A.chem_comp._rowCount>0){var g=A.chem_comp,c=g.id;for(n=g.type,o=0,a=c.rowCount;o<a;++o){var B=c.value(o);if(!e.has(B)){var l=n.value(o);Qa.has(B)?e.set(B,Qa.get(B)):9===Xa(l,B)&&e.set(B,aa)}}}else{var Q=gd(A);Qa.forEach((function(A,t){!e.has(t)&&Q.has(t)&&e.set(t,A)}))}return e}!function(A){A.getSequenceString=function(A){var e=A.code.toArray();return(e instanceof Array?e:Array.from(e)).join("")},A.ofResidueNames=function(A,t){if(0===t.rowCount)throw new Error("cannot be empty");var r=function(A){for(var e=0,t=Math.min(A.rowCount,10);e<t;e++){var r=A.value(e)||"";if("X"!==XI(r))return"protein";if("X"!==$I(r))return"RNA";if("X"!==Ad(r))return"DNA"}return"generic"}(A);return new e(r,A,t)};var e=function(){function A(A,e,t){this.kind=A,this.microHet=new Map;for(var r=function(A,e){var t;switch(A){case"protein":t=XI;break;case"DNA":t=Ad;break;case"RNA":t=$I;break;case"generic":t=function(){return"X"};break;default:throw new Error("unknown kind '".concat(A,"'"))}return t}(A),n=[],i=[],o=[],a=new Map,s=0,u=new Map,g=0,c=t.rowCount;g<c;++g){var B=t.value(g);if(u.has(B))a.has(B)?a.get(B).push(e.value(g)):a.set(B,[i[u.get(B)],e.value(g)]);else{u.set(B,s);var l=e.value(g);i[s]=l,o[s]=B,n[s]=r(l),s+=1}}var Q=[];for(g=0,c=s;g<c;++g){var I=a.get(o[g]);if(I){var d=I.map((function(A){var e=r(A);return"X"===e?A:e}));Q[g]="(".concat(d.join("|"),")")}else Q[g]="X"===n[g]?i[g]:n[g]}this.length=s,this.code=XA.ofStringArray(n),this.compId=XA.ofStringArray(i),this.seqId=XA.ofIntArray(o),this.label=XA.ofStringArray(Q),this.microHet=a,this.indexMap=u}return A.prototype.index=function(A){return this.indexMap.get(A)},A}();A.ofSequenceRanges=function(A,e){return new t("generic",A,e)};var t=function(){function A(A,e,t){this.kind=A,this.seqIdStart=e,this.seqIdEnd=t,this.microHet=new Map;for(var r=0,n=Number.MAX_SAFE_INTEGER,i=0,o=this.seqIdStart.rowCount;i<o;i++){var a=this.seqIdStart.value(i),s=this.seqIdEnd.value(i);a<n&&(n=a),r<s&&(r=s)}var u=r-n+1;this.code=XA.ofConst("X",u,XA.Schema.str),this.label=XA.ofConst("",u,XA.Schema.str),this.seqId=XA.ofLambda({value:function(A){return A+n+1},rowCount:u,schema:XA.Schema.int}),this.compId=XA.ofConst("",u,XA.Schema.str),this.length=u,this.minSeqId=n}return A.prototype.index=function(A){return A-this.minSeqId},A}()}(jI||(jI={})),function(A){var e={byEntityKey:{},sequences:[]};function t(){for(var A=[],e=0;e<arguments.length;e++)A[e]=arguments[e];for(var t=[],r={},n=0,i=A.length;n<i;++n)t.push.apply(t,A[n].sequences),Object.assign(r,A[n].byEntityKey);return{sequences:t,byEntityKey:r}}function r(A,e){var t=e.atoms.label_comp_id,r=e.residues.label_seq_id,n=e.chainAtomSegments,i=e.residueAtomSegments,o=n.count,a=n.offsets,s={},u=[];if(1===o&&0===a[0]&&0===a[1])return{byEntityKey:s,sequences:u};for(var g=0,c=e.chains._rowCount;g<c;g++){var B=e.index.getEntityFromChain(g);if(void 0===s[B]&&"polymer"===A.data.type.value(B)){var l=g;for(g++;g<c&&B===e.index.getEntityFromChain(g)&&"polymer"!==A.data.type.value(B);)g++;g--;for(var Q=i.index[a[l]],I=i.index[a[g+1]-1]+1,d=XA.window(r,Q,I),h=[],E=Q;E<I;++E)h.push(t.value(i.offsets[E]));var f=XA.ofStringArray(h);s[B]={entityId:A.data.id.value(B),sequence:jI.ofResidueNames(f,d)},u.push(s[B])}}return{byEntityKey:s,sequences:u}}function n(A,e){return t(i(A,e.spheres),i(A,e.gaussians))}function i(A,e){var t=e.chainElementSegments,r=e.seq_id_begin,n=e.seq_id_end,i=t.count,o=t.offsets,a={},s=[];if(1===i&&0===o[0]&&0===o[1])return{byEntityKey:a,sequences:s};for(var u=0,g=i;u<g;u++){var c=e.getEntityFromChain(u);if(void 0===a[c]){var B=u;for(u++;u<g&&c===e.getEntityFromChain(u);)u++;u--;var l=o[B],Q=o[u+1]-1,I=XA.window(r,l,Q),d=XA.window(n,l,Q);a[c]={entityId:A.data.id.value(c),sequence:jI.ofSequenceRanges(I,d)},s.push(a[c])}}return{byEntityKey:a,sequences:s}}A.fromHierarchy=function(A,i,o){return t(r(A,i),o.isDefined?n(A,o):e)},A.fromAtomicHierarchy=r,A.fromCoarseHierarchy=n,A.fromCoarseElements=i}(zI||(zI={}));var gd=od((function(A){for(var e=new Set,t=A.atom_site,r=t.label_comp_id,n=t.auth_comp_id,i=r.isDefined?r:n,o=0,a=i.rowCount;o<a;++o)e.add(i.value(o));return e}));function cd(A){for(var e=new Map,t=A.atom_site,r=t.label_asym_id,n=t.auth_asym_id,i=t.label_entity_id,o=0,a=r.rowCount;o<a;++o){var s=r.value(o);e.has(s)||e.set(s,{id:s,auth_id:n.value(o),entity_id:i.value(o)})}if(A.struct_asym._rowCount>0){var u=A.struct_asym,g=(s=u.id,u.entity_id);for(o=0,a=s.rowCount;o<a;++o){var c=s.value(o);e.has(c)||e.set(c,{id:c,auth_id:"",entity_id:g.value(o)})}}return e}var Bd=XA.Schema.Aliased(XA.Schema.Str(""));function ld(A,e){var t,r;if(A.entity.id.isDefined)r=A.entity;else{for(var n=new Set,i=[],o=[],a=A.atom_site,s=a.label_entity_id,u=a.label_comp_id,g=0,c=A.atom_site._rowCount;g<c;g++){var B=s.value(g);n.has(B)||(i.push(B),o.push(es(u.value(g))),n.add(B))}var l=A.ihm_sphere_obj_site.entity_id;for(g=0,c=A.ihm_sphere_obj_site._rowCount;g<c;g++)B=l.value(g),n.has(B)||(i.push(B),o.push("polymer"),n.add(B));var Q=A.ihm_gaussian_obj_site.entity_id;for(g=0,c=A.ihm_gaussian_obj_site._rowCount;g<c;g++)B=Q.value(g),n.has(B)||(i.push(B),o.push("polymer"),n.add(B));r=$A.ofPartialColumns(PI.entity,{id:XA.ofArray({array:i,schema:PI.entity.id}),type:XA.ofArray({array:o,schema:PI.entity.type})},i.length)}var I=XA.createIndexer(r.id),d=new Array(r._rowCount);d.fill("other");var h=new Set,E=!1;if(A.entity_poly&&A.entity_poly.type.isDefined){var f=A.entity_poly,C=f.entity_id,p=f.type,m=f._rowCount;for(g=0;g<m;++g)d[I(B=C.value(g))]=p.value(g),h.add(B)}else E=!0;if(A.pdbx_entity_branch&&A.pdbx_entity_branch.entity_id.isDefined){var y=A.pdbx_entity_branch;for(C=y.entity_id,p=y.type,m=y._rowCount,g=0;g<m;++g)d[I(B=C.value(g))]=p.value(g),h.add(B)}else E=!0;if(h.size<d.length&&(E=!0),E){var v=new Map;if(A.chem_comp){var D=A.chem_comp,b=D.id;for(p=D.type,g=0,c=A.chem_comp._rowCount;g<c;g++)v.set(b.value(g),p.value(g))}if(A.atom_site){var w=A.atom_site;for(s=w.label_entity_id,u=w.label_comp_id,g=0,c=A.atom_site._rowCount;g<c;g++)if(B=s.value(g),!h.has(B)){var F=u.value(g),U=v.get(F)||"";d[I(B)]=ts(F,U),h.add(B)}}}var S=XA.ofArray({array:d,schema:Bd}),N=new Array(r._rowCount);if(N.fill(""),A.pdbx_molecule&&A.pdbx_molecule.prd_id.isDefined){var R=A.pdbx_molecule,H=R.asym_id,G=R.prd_id;for(m=R._rowCount,g=0;g<m;++g){var M=H.value(g);void 0!==(B=null===(t=e.structAsymMap.get(M))||void 0===t?void 0:t.entity_id)&&(N[I(B)]=G.value(g))}}return{data:r,subtype:S,prd_id:XA.ofArray({array:N,schema:XA.Schema.str}),getEntityIndex:I}}function Qd(A,e){var t=e.ihm_model_group,r=e.ihm_model_group_link,n=$A.pickRow(r,(function(e){return r.model_id.value(e)===A}));if(n){var i=$A.pickRow(t,(function(A){return t.id.value(A)===n.group_id}));if(i)return i.name}return""}var Id,dd,hd,Ed=function(){function A(A){this.frames=A,this.frameCount=A.length,this.representative=A[0],this.duration=A.length}return 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e=PI.ihm_gaussian_obj_site.covariance_matrix.space,t=[],r=A.covariance_matrix,n=0,i=r.rowCount;n<i;n++)t[n]=X.toMat3(cA(),e,r.value(n));return{x:A.mean_Cartn_x.toArray({array:Float32Array}),y:A.mean_Cartn_y.toArray({array:Float32Array}),z:A.mean_Cartn_z.toArray({array:Float32Array}),weight:A.weight.toArray({array:Float32Array}),covariance_matrix:t}}(r),g=YI(s,A.entities),c=_I(s,e.chemicalComponentMap);return{hierarchy:{isDefined:!0,spheres:w(w(w({},n),o),a),gaussians:w(w(w({},s),g),c)},conformation:{id:N.create22(),spheres:i,gaussians:u}}}(e,t),o=ed(A,e.entities,n.hierarchy,i.hierarchy),a=nd(n.hierarchy,e.entities,n.conformation,o),s=0===A.entry.id.valueKind(0)?A.entry.id.value(0):r.name,u=[];return s&&u.push(s),0===A.struct.title.valueKind(0)&&u.push(A.struct.title.value(0)),e.model_name&&u.push(e.model_name),e.model_group_name&&u.push(e.model_group_name),{id:N.create22(),entryId:s,label:u.join(" | "),entry:s,sourceData:r,modelNum:e.model_id,parent:void 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ir.setDefaultValues(t,n(e).props),t},defaultParams:A.defaultParams,isApplicable:A.isApplicable,attach:function(t,r,o,a){return void 0===o&&(o={}),F(e,void 0,void 0,(function(){var e,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:return a&&r.customProperties.reference(A.descriptor,!0),e=n(r),s=ir.merge(A.defaultParams,e.props,o),e.data.value&&ir.areEqual(A.defaultParams,e.props,s)?[2]:[4,A.obtain(t,r,s)];case 1:return u=B.sent(),g=u.value,c=u.assets,r.customProperties.add(A.descriptor),r.customProperties.assets(A.descriptor,c),i(r,s,g),[2]}}))}))},ref:function(e,t){return e.customProperties.reference(A.descriptor,t)},get:function(A){var e;return null===(e=n(A))||void 0===e?void 0:e.data},set:function(e,t){void 0===t&&(t={});var r=n(e),o=ir.merge(A.defaultParams,r.props,t);ir.areEqual(A.defaultParams,r.props,o)||(i(e,o,void 0),e.customProperties.assets(A.descriptor))},props:function(A){return n(A).props}}}A.createProvider=e,A.createSimple=function(A,t,r){var n=this,i={value:ir.Value(r,{isHidden:!0})};return e({label:DA(A),descriptor:eo({name:A}),isHidden:!0,type:t,defaultParams:i,getParams:function(){return{value:ir.Value(r,{isHidden:!0})}},isApplicable:function(){return!0},obtain:function(A,e,t){return F(n,void 0,void 0,(function(){var A;return U(this,(function(e){return[2,{value:null!==(A=t.value)&&void 0!==A?A:r}]}))}))}})}}(Id||(Id={})),function(A){function e(e,t){for(var r=[],n=t.frames,i=e.atomicHierarchy.atomSourceIndex,o=XA.isIdentity(i)?void 0:i.toArray({array:Int32Array}),a=0,s=n.length;a<s;++a){var u=n[a],g=w(w({},e),{id:N.create22(),modelNum:a,atomicConformation:ji.getAtomicConformation(u,e.atomicConformation.atomId,o),customProperties:new ro,_staticPropertyData:Object.create(null),_dynamicPropertyData:Object.create(null)});if(u.cell){var c=ju.fromCell(u.cell.size,u.cell.anglesInRadians);ju.Provider.set(g,c)}A.TrajectoryInfo.set(g,{index:a,size:n.length}),r.push(g)}return{trajectory:r,srcIndexArray:o}}function t(A){if(!dc.is(A.sourceData))return!1;for(var e=A.sourceData.data.db,t=0,r=e.database_2.database_id.rowCount;t<r;++t)if("PDB"===e.database_2.database_id.value(t))return!0;return null!==A.entryId.match(/^[1-9][a-z0-9]{3,3}$/i)||null!==A.entryId.match(/^pdb_[0-9]{4,4}[1-9][a-z0-9]{3,3}$/i)}A.trajectoryFromModelAndCoordinates=function(A,t){return new Ed(e(A,t).trajectory)},A.trajectoryFromTopologyAndCoordinates=function(t,r){var n=this;return Pe.create("Create Trajectory",(function(i){return F(n,void 0,void 0,(function(){var n,o,a,s,u,g,c,B,l;return U(this,(function(Q){switch(Q.label){case 0:return[4,fd(t.basic,t.sourceData,i)];case 1:if(0===(n=Q.sent()).frameCount)throw new Error("found no model");for(o=n.representative,a=e(o,r).trajectory,s={pairs:t.bonds,count:o.atomicHierarchy.atoms._rowCount},u=Io.fromData(s),g=0,c=0,B=a;c<B.length;c++)l=B[c],Io.Provider.set(l,u),A.TrajectoryInfo.set(l,{index:g++,size:a.length});return[2,new Ed(a)]}}))}))}))},A.getCenter=function(A){if(A._dynamicPropertyData.__Center__)return A._dynamicPropertyData.__Center__;var e=function(A,e){var t=[],r=[],n=[];A.x.length&&(t.push.apply(t,lr(A.x)),r.push.apply(r,lr(A.y)),n.push.apply(n,lr(A.z))),e&&(e.spheres.x.length&&(t.push.apply(t,lr(e.spheres.x)),r.push.apply(r,lr(e.spheres.y)),n.push.apply(n,lr(e.spheres.z))),e.gaussians.x.length&&(t.push.apply(t,lr(e.gaussians.x)),r.push.apply(r,lr(e.gaussians.y)),n.push.apply(n,lr(e.gaussians.z))));var i=lr(t),o=i[0],a=i[1],s=lr(r),u=s[0],g=s[1],c=lr(n),B=c[0],l=o+(a-o)/2,Q=u+(g-u)/2,I=B+(c[1]-B)/2;return gA.create(l,Q,I)}(A.atomicConformation,A.coarseConformation);return A._dynamicPropertyData.__Center__=e,e},A.getInvertedAtomSourceIndex=function(A){if(A._staticPropertyData.__InvertedAtomSrcIndex__)return A._staticPropertyData.__InvertedAtomSrcIndex__;var e=function(A){for(var e=new Int32Array(A.rowCount),t=!1,r=0,n=A.rowCount;r<n;r++){var i=A.value(r);i!==r&&(t=!1),e[i]=r}return{isIdentity:t,invertedIndex:e}}(A.atomicHierarchy.atomSourceIndex);return A._staticPropertyData.__InvertedAtomSrcIndex__=e,e},A.TrajectoryInfo={get:function(A){return A._dynamicPropertyData.__TrajectoryInfo__||{index:0,size:1}},set:function(A,e){return A._dynamicPropertyData.__TrajectoryInfo__=e}},A.AsymIdCount={get:function(A){if(A._dynamicPropertyData.__AsymIdCount__)return A._dynamicPropertyData.__AsymIdCount__;var e=function(A){var e=new Set,t=new Set;return A.properties.structAsymMap.forEach((function(A,r){var n=A.auth_id;e.add(n),t.add(r)})),{auth:e.size,label:t.size}}(A);return A._dynamicPropertyData.__AsymIdCount__=e,e}},A.AsymIdOffset=Id.createSimple("asym_id_offset","static"),A.Index=Id.createSimple("index","static"),A.getRoot=function(A){return A.parent||A},A.areHierarchiesEqual=function(A,e){return A.atomicHierarchy===e.atomicHierarchy&&A.coarseHierarchy===e.coarseHierarchy},A.CoordinatesHistory={get:function(A){return A._staticPropertyData.__CoordinatesHistory__},set:function(A,e){return A._staticPropertyData.__CoordinatesHistory__=e}},A.isCoarseGrained=function(A){if(void 0!==A._staticPropertyData.__CoarseGrained__)return A._staticPropertyData.__CoarseGrained__;for(var e=0,t=A.atomicHierarchy.derived.residue.polymerType,r=0;r<t.length;++r)0!==t[r]&&(e+=1);var n=!1,i=!1,o=A.atomicHierarchy.atoms,a=o.label_atom_id,s=o._rowCount;for(r=0;r<s;++r){var u=a.value(r);if(n||"BB"!==u||(n=!0),i||"SC1"!==u||(i=!0),n&&i)break}var g=n&&i||!(!e||!s)&&s/e<3;return A._staticPropertyData.__CoarseGrained__=g,g},A.hasCarbohydrate=function(A){return A.properties.saccharideComponentMap.size>0},A.hasProtein=function(A){for(var e=A.entities.subtype,t=0,r=e.rowCount;t<r;++t)if(e.value(t).startsWith("polypeptide"))return!0;return!1},A.hasNucleic=function(A){for(var e=A.entities.subtype,t=0,r=e.rowCount;t<r;++t){var n=e.value(t);if(n.endsWith("ribonucleotide 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e=A.sourceData.data.db,t=e.pdbx_database_related,r=t.db_name,n=t.content_type,i=0,o=e.pdbx_database_related._rowCount;i<o;++i)if("EMDB"===r.value(i).toUpperCase()&&"associated EM volume"===n.value(i))return!0;return!1}function u(A){return!!dc.is(A.sourceData)&&(a(A)||s(A))}A.hasCrystalSymmetry=function(A){var e,t=null===(e=ju.Provider.get(A))||void 0===e?void 0:e.spacegroup;return!(!t||1===t.num&&gA.equals(t.cell.anglesInRadians,r)&&gA.equals(t.cell.size,n))},A.isFromXray=i,A.isFromEm=o,A.isFromNmr=function(A){if(!dc.is(A.sourceData))return!1;for(var e=A.sourceData.data.db,t=0;t<e.exptl.method.rowCount;t++)if(e.exptl.method.value(t).toUpperCase().indexOf("NMR")>=0)return!0;return!1},A.hasXrayMap=a,A.hasEmMap=s,A.hasDensityMap=u,A.probablyHasDensityMap=function(A){if(!dc.is(A.sourceData))return!1;var e=A.sourceData.data.db;return u(A)||t(A)&&(!e.exptl.method.isDefined||i(A)&&(!e.pdbx_database_status.status_code_sf.isDefined||2===e.pdbx_database_status.status_code_sf.valueKind(0))||o(A)&&!e.pdbx_database_related.db_name.isDefined)}}(dd||(dd={})),function(A){A.getCifDataSource=function(A,e,t){if(!e)return{rowCount:0};if(t&&t[e.id])return t[e.id];var r=e.getElements(A),n={data:r,rowCount:r.elements.length};return t&&(t[e.id]=n),n},A.fromAtomMap=function(A){return new Fd(A)},A.fromAtomArray=function(A){return new Fd(vd(A))};var e=function(A){return A.atomicHierarchy.residueAtomSegments};A.fromResidueMap=function(A){return new wd("residue",A,e,0)},A.fromResidueArray=function(A){return new wd("residue",vd(A),e,0)};var t=function(A){return A.atomicHierarchy.chainAtomSegments};A.fromChainMap=function(A){return new wd("chain",A,t,0)},A.fromChainArray=function(A){return new wd("chain",vd(A),t,0)},A.fromEntityMap=function(A){return new Ud(A)}}(hd||(hd={}));var Dd,bd,wd=function(){function A(A,e,t,r){this.level=A,this.map=e,this.segmentGetter=t,this.id=N.create22(),this.kind=r}return A.prototype.has=function(A){return this.map.has(A)},A.prototype.get=function(A){return this.map.get(A)},A.prototype.getStructureElements=function(A){var e=A.models;if(1!==e.length)throw new Error("Only works on structures with a single model.");for(var t=new Set,r=A.unitSymmetryGroups,n=[],i=this.segmentGetter(e[0]),o=0,a=r;o<a.length;o++){var s=a[o].units[0];if(s.kind===this.kind)for(var u=vi.transientSegments(i,s.elements);u.hasNext;){var g=u.move();this.has(g.index)&&!t.has(g.index)&&(t.add(g.index),n[n.length]=hc.create(A,s,s.elements[g.start]))}}return n.sort((function(A,e){return A.element-e.element})),n},A.prototype.getElements=function(A){var e=this,t=this.segmentGetter(A.model).index,r=this.getStructureElements(A);return{elements:r,property:function(A){return e.get(t[r[A].element])}}},A}(),Fd=function(){function A(A){this.map=A,this.id=N.create22(),this.level="atom",this.kind=0}return A.prototype.has=function(A){return this.map.has(A)},A.prototype.get=function(A){return this.map.get(A)},A.prototype.getStructureElements=function(A){if(1!==A.models.length)throw new Error("Only works on structures with a single model.");for(var e=new Set,t=[],r=0,n=A.unitSymmetryGroups;r<n.length;r++){var i=n[r].units[0];if(i.kind===this.kind)for(var o=i.elements,a=0,s=o.length;a<s;a++){var u=o[a];this.has(u)&&!e.has(u)&&(e.add(o[a]),t[t.length]=hc.create(A,i,u))}}return t.sort((function(A,e){return A.element-e.element})),t},A.prototype.getElements=function(A){var e=this,t=this.getStructureElements(A);return{elements:t,property:function(A){return e.get(t[A].element)}}},A}(),Ud=function(){function A(A){this.map=A,this.id=N.create22(),this.level="entity",this.kind=0}return A.prototype.has=function(A){return this.map.has(A)},A.prototype.get=function(A){return this.map.get(A)},A.prototype.getStructureElements=function(A){var e=A.models;if(1!==e.length)throw new Error("Only works on structures with a single model.");for(var t=e[0].atomicHierarchy.index,r=new Set,n=A.unitSymmetryGroups,i=[],o=e[0].atomicHierarchy.chainAtomSegments,a=0,s=n;a<s.length;a++){var u=s[a].units[0];if(u.kind===this.kind)for(var g=vi.transientSegments(o,u.elements);g.hasNext;){var c=g.move(),B=t.getEntityFromChain(c.index);this.has(B)&&!r.has(B)&&(r.add(B),i[i.length]=hc.create(A,u,u.elements[c.start]))}}return i.sort((function(A,e){return A.element-e.element})),i},A.prototype.getElements=function(A){var e=this,t=this.getStructureElements(A),r=A.model.atomicHierarchy.chainAtomSegments.index,n=A.model.atomicHierarchy.index;return{elements:t,property:function(A){return e.get(n.getEntityFromChain(r[t[A].element]))}}},A}();!function(A){function e(A){var e;return e=function(){function e(e,t){this.data=e,this.id=N.create22(),this.type=A,this.label=t&&t.label||A.name,this.description=t&&t.description}return e.is=function(e){return!!e&&A===e.type},e}(),e.type=A,e}A.factory=function(){return function(A){return e(A)}},A.create=e,A.hasTag=function(A,e){if(!A.tags)return!1;for(var t=0,r=A.tags;t<r.length;t++)if(r[t]===e)return!0;return!1},A.Null={id:N.create22(),type:{name:"Null",typeClass:"Null"},data:void 0,label:"Null"}}(Dd||(Dd={})),function(A){A.is=function(A){var e=A;return!!(e&&e.transform&&e.parent&&e.status)},A.resolve=function(e,t){var r="string"==typeof t?t:A.is(t)?t.transform.ref:t.ref;return e.cells.get(r)}}(bd||(bd={})),function(){function A(A){this.state=A,this.version=""}A.prototype.setQuery=function(A){this.query=xd.compile(A)},A.prototype.update=function(){var A=this.state.select(this.query)[0],e=A?A.transform.version:void 0,t=this.cell!==A||this.version!==e;return this.cell=A,this.version=e||"",this.data=A&&A.obj?A.obj.data:void 0,t}}();var Sd,Nd=function(){function A(A,e){this.ref=A,this.state=e}return Object.defineProperty(A.prototype,"cell",{get:function(){var A;return null===(A=this.state)||void 0===A?void 0:A.cells.get(this.ref)},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"obj",{get:function(){var A,e;return null===(e=null===(A=this.state)||void 0===A?void 0:A.cells.get(this.ref))||void 0===e?void 0:e.obj},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"data",{get:function(){var A;return null===(A=this.obj)||void 0===A?void 0:A.data},enumerable:!1,configurable:!0}),A.prototype.update=function(A,e){if(!this.state)throw new Error("To use update() from StateObjectSelector, 'state' must be defined.");return e||(e=this.state.build()),(e||this.state.build()).to(this).update(A),e},A.prototype.checkValid=function(){if(!this.state)throw new Error("Unassigned State.");var A=this.cell;if(!A)throw new Error("Not created at all. Did you await/then the corresponding state update?");if("ok"===A.status)return!0;if("error"===A.status)throw new Error(A.errorText);if(A.obj===Dd.Null)throw new Error("The object is Null.");throw new Error("Unresolved. Did you await/then the corresponding state update?")},Object.defineProperty(A.prototype,"isOk",{get:function(){var A=this.cell;return A&&"ok"===A.status&&A.obj!==Dd.Null},enumerable:!1,configurable:!0}),A}();!function(A){function e(A,e){if(e)return bd.is(e)?e:"string"==typeof e?A.cells.get(e):e.cell}A.resolveRef=function(A){var e;if(A)return"string"==typeof A?A:bd.is(A)?A.transform.ref:null===(e=A.cell)||void 0===e?void 0:e.transform.ref},A.resolve=e,A.resolveAndCheck=function(A,t){var r=e(A,t);if(r&&r.obj&&"ok"===r.status)return r}}(Sd||(Sd={}));var Rd,Hd,Gd,Md=t(3393);!function(A){function e(A){var e={create:function(A){return{action:e,params:A}},id:N.create22(),definition:A,createDefaultParams:function(e,t){return A.params?ir.getDefaultValues(A.params(e,t)):{}}};return e}var t;A.create=e,A.fromTransformer=function(A){var t=A.definition;return e({from:t.from,display:t.display,params:t.params,isApplicable:A.definition.isApplicable?function(e,t,r){return A.definition.isApplicable(e,r)}:void 0,run:function(e){var t=e.cell,r=e.state,n=e.params,i=r.build().to(t.transform.ref).apply(A,n);return r.updateTree(i)}})},function(A){A.build=function(A){return function(A){return function(t){return e(w({from:A.from instanceof Array?A.from:A.from?[A.from]:[],display:"string"==typeof A.display?{name:A.display}:A.display?A.display:{name:"Unnamed State Action"},params:"object"==typeof A.params?function(){return A.params}:A.params?A.params:void 0,isApplicable:A.isApplicable},"function"==typeof t?{run:t}:t))}}(A)}}(t=A.Builder||(A.Builder={})),A.build=t.build}(Rd||(Rd={})),function(A){var e;A.getParamDefinition=function(A,e,t){return A.definition.params?A.definition.params(e,t):{}},A.is=function(A){return!!A&&"function"==typeof A.toAction&&"function"==typeof A.apply},function(A){A[A.Unchanged=0]="Unchanged",A[A.Updated=1]="Updated",A[A.Recreate=2]="Recreate",A[A.Null=3]="Null"}(e=A.UpdateResult||(A.UpdateResult={}));var t,r=new Map,n=new Map;function i(A,e){var t=e.name,i="".concat(A,".").concat(t);if(r.has(i))throw new Error("A transform with id '".concat(t,"' is already registered. Please pick a unique identifier for your transforms and/or register them only once. This is to ensure that transforms can be serialized and replayed."));var o={apply:function(A,e,t){return Gd.create(A,o,e,t)},toAction:function(){return Rd.fromTransformer(o)},namespace:A,id:i,definition:e,createDefaultParams:function(A,t){return e.params?ir.getDefaultValues(e.params(A,t)):{}}};return r.set(i,o),function(A){for(var e=0,t=A.definition.from;e<t.length;e++){var r=t[e];n.has(r.type)?n.get(r.type).push(A):n.set(r.type,[A])}}(o),o}A.getAll=function(){return Array.from(r.values())},A.get=function(A){var e=r.get(A);if(!e)throw new Error("A transformer with signature '".concat(A,"' is not registered."));return e},A.fromType=function(A){return n.get(A)||[]},A.create=i,A.factory=function(A){return function(e){return i(A,e)}},A.builderFactory=function(A){return t.build(A)},function(A){A.build=function(A){return function(e){return function(A,e){return function(t){return i(A,w({name:e.name,from:e.from instanceof Array?e.from:[e.from],to:e.to instanceof Array?e.to:[e.to],display:"string"==typeof e.display?{name:e.display}:e.display?e.display:{name:vA(e.name.replace(/[-]/g," "))},params:"object"==typeof e.params?function(){return e.params}:e.params?e.params:void 0,isDecorator:e.isDecorator},t))}}(A,e)}}}(t=A.Builder||(A.Builder={})),A.build=function(A){return t.build(A)},A.ROOT=i("build-in",{name:"root",from:[],to:[],display:{name:"Root",description:"For internal use."},apply:function(){throw new Error("should never be applied")},update:function(){return e.Unchanged}})}(Hd||(Hd={})),function(A){function e(A,e,t,r){var n=r&&r.ref?r.ref:N.create22(),i=void 0;return r&&r.tags&&(0===(i="string"==typeof r.tags?[r.tags]:r.tags).length?i=void 0:i.sort()),{parent:A,transformer:e,state:(null==r?void 0:r.state)||{},tags:i,ref:n,dependsOn:r&&r.dependsOn,params:t,version:N.create22()}}function t(A,e){return!!A.tags&&A.tags.indexOf(e)>=0}function r(A){return A}A.RootRef="-=root=-",A.areStatesEqual=function(A,e){return!!A.isHidden!=!!e.isHidden||!!A.isCollapsed!=!!e.isCollapsed||!!A.isGhost!=!!e.isGhost||!!A.isLocked!=!!e.isLocked},A.isStateChange=function(A,e){return!!e&&(void 0!==e.isCollapsed&&A.isCollapsed!==e.isCollapsed||void 0!==e.isHidden&&A.isHidden!==e.isHidden||void 0!==e.isGhost&&A.isGhost!==e.isGhost||void 0!==e.isLocked&&A.isLocked!==e.isLocked)},A.assignState=function(A,e){if(!e)return!1;for(var t=!1,r=0,n=Object.keys(e);r<n.length;r++){var i=n[r],o=e[i];!!o!=!!A[i]&&(t=!0,A[i]=o)}return t},A.syncState=function(A,e){if(!e)return!1;for(var t=!1,r=0,n=Object.keys(e);r<n.length;r++)!!(s=e[a=n[r]])!=!!A[a]&&(t=!0,A[a]=s);for(var i=0,o=Object.keys(A);i<o.length;i++){var a,s;!!(s=e[a=o[i]])!=!!A[a]&&(t=!0,A[a]=s)}return t},A.create=e,A.withParams=function(A,e){return w(w({},A),{params:e,version:N.create22()})},A.withState=function(A,e){return e?w(w({},A),{state:w(w({},A.state),e)}):A},A.withTags=function(A,e){var t=void 0;return e&&(0===(t="string"==typeof e?[e]:e).length?t=void 0:t.sort()),w(w({},A),{tags:t,version:N.create22()})},A.withParent=function(A,e){return w(w({},A),{parent:e,version:N.create22()})},A.createRoot=function(t){return e(A.RootRef,Hd.ROOT,{},{ref:A.RootRef,state:t})},A.hasTag=t,A.hasTags=function(A,e){if(!A.tags)return"string"!=typeof e&&0===e.length;if("string"==typeof e)return t(A,e);for(var r=0,n=e;r<n.length;r++){var i=n[r];if(A.tags.indexOf(i)<0)return!1}return!0},A.toJSON=function(A){for(var e=A.transformer.definition.customSerialization?A.transformer.definition.customSerialization.toJSON:r,t=void 0,n=0,i=Object.keys(A.state);n<i.length;n++){var o=i[n];A.state[o]&&(t||(t={}),t[o]=!0)}return{parent:A.parent,transformer:A.transformer.id,params:A.params?e(A.params):void 0,state:t,tags:A.tags,ref:A.ref,dependsOn:A.dependsOn,version:A.version}},A.fromJSON=function(A){var e=Hd.get(A.transformer),t=e.definition.customSerialization?e.definition.customSerialization.fromJSON:r;return{parent:A.parent,transformer:e,params:A.params?t(A.params):void 0,state:A.state||{},tags:A.tags,ref:A.ref,dependsOn:A.dependsOn,version:A.version}}}(Gd||(Gd={}));var Ld,xd,kd=function(){function A(A){this.tree=A,this.transforms=this.tree.transforms,this.children=this.tree.children,this.dependencies=this.tree.dependencies,this.changedNodes=!1,this.changedChildren=!1,this.changedDependencies=!1,this._childMutations=void 0,this._dependencyMutations=void 0,this._stateUpdates=void 0}return Object.defineProperty(A.prototype,"childMutations",{get:function(){return this._childMutations||(this._childMutations=new Map),this._childMutations},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"dependencyMutations",{get:function(){return this._dependencyMutations||(this._dependencyMutations=new Map),this._dependencyMutations},enumerable:!1,configurable:!0}),A.prototype.changeNodes=function(){this.changedNodes||(this.changedNodes=!0,this.transforms=this.transforms.asMutable())},A.prototype.changeChildren=function(){this.changedChildren||(this.changedChildren=!0,this.children=this.children.asMutable())},A.prototype.changeDependencies=function(){this.changedDependencies||(this.changedDependencies=!0,this.dependencies=this.dependencies.asMutable())},Object.defineProperty(A.prototype,"root",{get:function(){return this.transforms.get(Gd.RootRef)},enumerable:!1,configurable:!0}),A.prototype.asTransient=function(){return this.asImmutable().asTransient()},A.prototype.addChild=function(A,e){if(this.changeChildren(),this.childMutations.has(A))this.childMutations.get(A).add(e);else{var t=this.children.get(A).asMutable();t.add(e),this.children.set(A,t),this.childMutations.set(A,t)}},A.prototype.removeChild=function(A,e){if(this.changeChildren(),this.childMutations.has(A))this.childMutations.get(A).remove(e);else{var t=this.children.get(A).asMutable();t.remove(e),this.children.set(A,t),this.childMutations.set(A,t)}},A.prototype.clearRoot=function(){var A=Gd.RootRef;if(0!==this.children.get(A).size){this.changeChildren();var e=(0,Md.OrderedSet)();this.children.set(A,e),this.childMutations.set(A,e)}},A.prototype.mutateDependency=function(A,e,t){var r=this.dependencyMutations.get(A);if(!r){var n=this.dependencies.get(A);if(!n&&"remove"===t)return;this.changeDependencies(),r=n?n.asMutable():(0,Md.OrderedSet)().asMutable(),this.dependencyMutations.set(A,r),this.dependencies.set(A,r)}"add"===t?r.add(e):r.remove(e)},A.prototype.changeParent=function(A,e){Vd(this.transforms,A);var t=this.transforms.get(A);this.removeChild(t.parent,A),this.addChild(e,A),this.changeNodes(),this.transforms.set(A,Gd.withParent(t,e))},A.prototype.add=function(A){var e=A.ref;this.transforms.has(A.ref)&&this.transforms.get(A.ref).parent!==A.parent&&function(A){throw new Error("Transform '".concat(A,"' is already present in the tree."))}(A.ref);var t=this.children.get(A.parent);if(t||function(A){throw new Error("Parent '".concat(A,"' must be present in the tree."))}(A.parent),t.has(A.ref)||this.addChild(A.parent,A.ref),this.children.has(A.ref)||(this.changedChildren||(this.changedChildren=!0,this.children=this.children.asMutable()),this.children.set(A.ref,(0,Md.OrderedSet)())),this.changeNodes(),this.transforms.set(e,A),A.dependsOn)for(var r=0,n=A.dependsOn;r<n.length;r++){var i=n[r];this.mutateDependency(i,e,"add")}return this},A.prototype.setParams=function(A,e){Vd(this.transforms,A);var 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s=a[o];e.changeParent(s,n.transform.ref)}}}return A.editInfo.sourceTree=A.tree,e.asImmutable()}A.is=function(A){return!!A&&"function"==typeof A.getTree},A.isTo=function(A){return!!A&&"function"==typeof A.getTree&&"string"==typeof A.ref};var t=function(){function A(A,e){this.state={state:e,tree:A.asTransient(),actions:[],editInfo:{applied:!1,sourceTree:A,count:0,lastUpdate:void 0}}}return Object.defineProperty(A.prototype,"editInfo",{get:function(){return this.state.editInfo},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"currentTree",{get:function(){return this.state.tree},enumerable:!1,configurable:!0}),A.prototype.to=function(A){var e="string"==typeof A?A:bd.is(A)?A.transform.ref:A.ref;return new r(this.state,e,this)},A.prototype.toRoot=function(){return new r(this.state,this.state.tree.root.ref,this)},A.prototype.delete=function(A){var e=Sd.resolveRef(A);return e&&this.state.tree.transforms.has(e)?(this.editInfo.count++,this.state.tree.remove(e),this.state.actions.push({kind:"delete",ref:e}),this):this},A.prototype.getTree=function(){return e(this.state)},A.prototype.commit=function(A){if(!this.state.state)throw new Error("Cannot commit template tree");return this.state.state.runTask(this.state.state.updateTree(this,A))},A}();A.Root=t;var r=function(){function A(A,e,t){if(this.state=A,this.root=t,this.ref=e,!this.state.tree.transforms.has(e))throw new Error("Could not find node '".concat(e,"'."))}return Object.defineProperty(A.prototype,"editInfo",{get:function(){return this.state.editInfo},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"selector",{get:function(){return new Nd(this.ref,this.state.state)},enumerable:!1,configurable:!0}),A.prototype.getApplyRoot=function(){return Ld.getDecoratorRoot(this.state.tree,this.ref)},A.prototype.apply=function(e,t,r){if(e.definition.isDecorator)return this.insert(e,t,r);var n=this.getApplyRoot(),i=e.apply(n,t,r);return this.state.tree.add(i),this.editInfo.count++,this.editInfo.lastUpdate=i.ref,this.state.actions.push({kind:"add",transform:i}),new A(this.state,i.ref,this.root)},A.prototype.applyOrUpdate=function(A,e,t,r){if(this.state.tree.transforms.has(A)){var n=this.to(A);return t&&n.update(t),n}return this.apply(e,t,w(w({},r),{ref:A}))},A.prototype.applyOrUpdateTagged=function(e,t,r,n){if(t.definition.isDecorator)throw new Error("Can't use applyOrUpdateTagged on decorator transformers.");for(var i=this.getApplyRoot(),o=this.state.tree.children.get(i).values();;){var a=o.next();if(a.done)break;var s=this.state.tree.transforms.get(a.value);if(s&&Gd.hasTags(s,e)){var u=this.to(a.value);return u.updateTagged(r,HE(s.tags,e,n&&n.tags)),u}}var g=t.apply(i,r,w(w({},n),{tags:HE(e,n&&n.tags)}));return this.state.tree.add(g),this.editInfo.count++,this.editInfo.lastUpdate=g.ref,this.state.actions.push({kind:"add",transform:g}),new A(this.state,g.ref,this.root)},A.prototype.group=function(A,e,t){return this.apply(A,e,t)},A.prototype.insert=function(e,t,r){var n=this.state.tree.children.get(this.ref).toArray(),i=e.apply(this.ref,t,r);this.state.tree.add(i);for(var o=0,a=n;o<a.length;o++){var s=a[o];this.state.tree.changeParent(s,i.ref)}return this.editInfo.count++,this.editInfo.lastUpdate=i.ref,this.state.actions.push({kind:"insert",ref:this.ref,transform:i}),new A(this.state,i.ref,this.root)},A.prototype.updateTagged=function(A,e){(this.state.tree.setParams(this.ref,A)||this.state.tree.setTags(this.ref,e))&&(this.editInfo.count++,this.editInfo.lastUpdate=this.ref,this.state.actions.push({kind:"update",ref:this.ref,params:A}))},A.prototype.update=function(A,e){var t;if(e){var r=this.state.tree.transforms.get(this.ref);t=UE(r.params,e)}else t="function"==typeof A?UE(this.state.tree.transforms.get(this.ref).params,A):A;return this.state.tree.setParams(this.ref,t)&&(this.editInfo.count++,this.editInfo.lastUpdate=this.ref,this.state.actions.push({kind:"update",ref:this.ref,params:t})),this.root},A.prototype.to=function(A){return this.root.to(A)},A.prototype.toRoot=function(){return this.root.toRoot()},A.prototype.delete=function(A){return this.root.delete(A)},A.prototype.getTree=function(){return e(this.state)},A.prototype.commit=function(A){if(!this.state.state)throw new Error("Cannot commit template tree");return this.state.state.runTask(this.state.state.updateTree(this,A))},A}();A.To=r}(RE||(RE={}));var GE,ME,LE=function(){function A(){this.ev=Fh.create(),this.actions=new Map,this.fromTypeIndex=new Map,this.events={added:this.ev(),removed:this.ev()}}return A.prototype.add=function(A){var e=Hd.is(A)?A.toAction():A;if(this.actions.has(e.id))return this;this.actions.set(e.id,e);for(var t=0,r=e.definition.from;t<r.length;t++){var n=r[t];this.fromTypeIndex.has(n.type)?this.fromTypeIndex.get(n.type).push(e):this.fromTypeIndex.set(n.type,[e])}return this.events.added.next(void 0),this},A.prototype.remove=function(A){var e=Hd.is(A)?A.toAction().id:N.is(A)?A:A.id,t=this.actions.get(e);if(!t)return this;this.actions.delete(e);for(var r=0,n=t.definition.from;r<n.length;r++){var i=n[r],o=this.fromTypeIndex.get(i.type);o&&(pr(o,t),0===o.length&&this.fromTypeIndex.delete(i.type))}return this.events.removed.next(void 0),this},A.prototype.fromCell=function(A,e){var t=A.obj;if(!t)return[];var r=this.fromTypeIndex.get(t.type);if(!r)return[];for(var n=!1,i=0,o=r;i<o.length;i++)if((g=o[i]).definition.isApplicable){n=!0;break}if(!n)return r;for(var a=[],s=0,u=r;s<u.length;s++){var g;(g=u[s]).definition.isApplicable?g.definition.isApplicable(t,A.transform,e)&&a.push(g):a.push(g)}return a},A.prototype.dispose=function(){this.ev.dispose()},A}();!function(A){A.message=function(A){return{type:"message",timestamp:new Date,message:A}},A.error=function(A){return{type:"error",timestamp:new Date,message:A}},A.warning=function(A){return{type:"warning",timestamp:new Date,message:A}},A.info=function(A){return{type:"info",timestamp:new Date,message:A}}}(GE||(GE={})),function(A){var e=function(){function A(A){this.cells=A,this._current=void 0}return Object.defineProperty(A.prototype,"current",{get:function(){return this._current},set:function(A){this._current=A},enumerable:!1,configurable:!0}),A.prototype.getAncestorOfType=function(A){if(this._current)for(var e=this._current;;){if(!(e=this.cells.get(e.transform.parent)).obj)return;if(e.obj.type===A.type)return e.obj;if(e.transform.ref===Gd.RootRef)return}},A.prototype.getRootOfType=function(A){if(this._current)for(var e=this._current,t=void 0;;){if(!e.obj)return;if(e.obj.type===A.type&&(t=e),e.transform.ref===Gd.RootRef)return t?t.obj:void 0;e=this.cells.get(e.transform.parent)}},A}();A.Impl=e,A.getDecoratorChain=function(A,e){for(var t=A.cells,r=t.get(e),n=[r];null==r?void 0:r.transform.transformer.definition.isDecorator;)r=t.get(r.transform.parent),n.push(r);return n},A.getRootOfType=function(A,e,t){var r=void 0,n=A.cells.get(t);if(n)for(;;){if(!n.obj)return;if(n.obj.type===e.type&&(r=n),n.transform.ref===Gd.RootRef)return r?r.obj:void 0;n=A.cells.get(n.transform.parent)}}}(ME||(ME={}));var xE,kE=function(){function A(){this.queue=[],this.signal=new Sh}return Object.defineProperty(A.prototype,"length",{get:function(){return this.queue.length},enumerable:!1,configurable:!0}),A.prototype.enqueue=function(A){return this.queue.push(A),1===this.queue.length||this.waitFor(A)},A.prototype.handled=function(A){Er(this.queue,A),this.queue.length>0&&this.signal.next({v:this.queue[0],stillPresent:!0})},A.prototype.remove=function(A){var e=Er(this.queue,A);return e&&this.signal.next({v:A,stillPresent:!1}),e},A.prototype.waitFor=function(A){var e=this;return new Promise((function(t){var r=e.signal.subscribe((function(e){var n=e.v,i=e.stillPresent;n===A&&(r.unsubscribe(),t(i))}))}))},A}(),YE=function(){function A(A,e){var t=this;this.errorFree=!0,this.ev=Fh.create(),this.globalContext=void 0,this.events={cell:{stateUpdated:this.ev(),created:this.ev(),removed:this.ev()},object:{updated:this.ev(),created:this.ev(),removed:this.ev()},log:this.ev(),changed:this.ev(),historyUpdated:this.ev()},this.behaviors={currentObject:this.ev.behavior({state:this,ref:Gd.RootRef}),isUpdating:this.ev.behavior(!1)},this.actions=new LE,this.cells=new Map,this.spine=new ME.Impl(this.cells),this.tryGetCellData=function(A){var e,r,n=null===(r=null===(e=t.cells.get(A))||void 0===e?void 0:e.obj)||void 0===r?void 0:r.data;if(!A)throw new Error("Cell '".concat(A,"' data undefined."));return n},this.historyCapacity=5,this.history=[],this.undoingHistory=!1,this.inTransaction=!1,this.inTransactionError=!1,this._inUpdate=!1,this.reverted=!1,this.updateQueue=new kE,this._tree=Ld.createEmpty(Gd.createRoot(e&&e.rootState)).asTransient();var r=this._tree.root;this.runTask=e.runTask,void 0!==(null==e?void 0:e.historyCapacity)&&(this.historyCapacity=e.historyCapacity),this.cells.set(r.ref,{parent:this,transform:r,sourceRef:void 0,obj:A,status:"ok",state:w({},r.state),errorText:void 0,params:{definition:{},values:{}},paramsNormalizedVersion:r.version,dependencies:{dependentBy:[],dependsOn:[]},cache:{}}),this.globalContext=e&&e.globalContext}return Object.defineProperty(A.prototype,"tree",{get:function(){return this._tree},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"transforms",{get:function(){return this._tree.transforms},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"current",{get:function(){return this.behaviors.currentObject.value.ref},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"root",{get:function(){return this.cells.get(this._tree.root.ref)},enumerable:!1,configurable:!0}),A.prototype.build=function(){return new RE.Root(this.tree,this)},A.prototype.addHistory=function(A,e){0!==this.historyCapacity&&(this.history.unshift([A,e||"Update"]),this.history.length>this.historyCapacity&&this.history.pop(),this.events.historyUpdated.next({state:this}))},A.prototype.clearHistory=function(){0!==this.history.length&&(this.history=[],this.events.historyUpdated.next({state:this}))},Object.defineProperty(A.prototype,"latestUndoLabel",{get:function(){return this.history.length>0?this.history[0][1]:void 0},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"canUndo",{get:function(){return this.history.length>0},enumerable:!1,configurable:!0}),A.prototype.undo=function(){var A=this;return Pe.create("Undo",(function(e){return F(A,void 0,void 0,(function(){var A;return U(this,(function(t){switch(t.label){case 0:if(!(A=this.history.shift()))return[2];this.events.historyUpdated.next({state:this}),this.undoingHistory=!0,t.label=1;case 1:return t.trys.push([1,,3,4]),[4,this.updateTree(A[0],{canUndo:!1}).runInContext(e)];case 2:return t.sent(),[3,4];case 3:return this.undoingHistory=!1,[7];case 4:return[2]}}))}))}))},A.prototype.getSnapshot=function(){return{tree:Ld.toJSON(this._tree)}},A.prototype.setSnapshot=function(A){var e=Ld.fromJSON(A.tree);return this.updateTree(e)},A.prototype.setCurrent=function(A){this.behaviors.currentObject.next({state:this,ref:A})},A.prototype.updateCellState=function(A,e){var t=this.cells.get(A);if(t){var r="function"==typeof e?e(t.state):e;Gd.assignState(t.state,r)&&(t.transform=this._tree.assignState(t.transform.ref,r),this.events.cell.stateUpdated.next({state:this,ref:A,cell:t}))}},A.prototype.dispose=function(){this.ev.dispose(),this.actions.dispose()},A.prototype.select=function(A){return xd.select(A,this)},A.prototype.selectQ=function(A){return"string"==typeof A?xd.select(A,this):xd.select(A(xd.Generators),this)},A.prototype.applyAction=function(A,e,t){var r=this;return void 0===t&&(t=Gd.RootRef),Pe.create("Apply Action",(function(n){var i=r.cells.get(t);if(!i)throw new Error("'".concat(t,"' does not exist."));if("ok"!==i.status)throw new Error("Action cannot be applied to a cell with status '".concat(i.status,"'"));return nf(A.definition.run({ref:t,cell:i,a:i.obj,params:e,state:r},r.globalContext),n)}))},A.prototype.transaction=function(A,e){var t=this;return Pe.create("State Transaction",(function(r){return F(t,void 0,void 0,(function(){var t,n,i,o;return U(this,(function(a){switch(a.label){case 0:t=this.inTransaction,n=this._tree.asImmutable(),i=!1,a.label=1;case 1:return a.trys.push([1,5,8,9]),t||this.behaviors.isUpdating.next(!0),this.inTransaction=!0,this.inTransactionError=!1,[4,A(r)];case 2:return a.sent(),this.inTransactionError?(i=!0,[4,this.updateTree(n).runInContext(r)]):[3,4];case 3:a.sent(),a.label=4;case 4:return[3,9];case 5:return o=a.sent(),i?[3,7]:(i=!0,[4,this.updateTree(n).runInContext(r)]);case 6:a.sent(),this.events.log.next(GE.error("Error during state transaction, reverting")),a.label=7;case 7:if(t)throw this.inTransactionError=!0,o;if(null==e?void 0:e.rethrowErrors)throw o;return console.error(o),[3,9];case 8:return t||(this.inTransaction=!1,this.events.changed.next({state:this,inTransaction:!1}),this.behaviors.isUpdating.next(!1),i||((null==e?void 0:e.canUndo)?this.addHistory(n,"string"==typeof e.canUndo?e.canUndo:void 0):this.clearHistory())),[7];case 9:return[2]}}))}))}))},Object.defineProperty(A.prototype,"inUpdate",{get:function(){return this._inUpdate},enumerable:!1,configurable:!0}),A.prototype.updateTree=function(A,e){var t=this,r={tree:A,options:e};return Pe.create("Update Tree",(function(n){return F(t,void 0,void 0,(function(){var t,i,o,a;return U(this,(function(s){switch(s.label){case 0:return[4,this.updateQueue.enqueue(r)];case 1:if(!s.sent())return[2];this._inUpdate=!0,t=(null==e?void 0:e.canUndo)?this._tree.asImmutable():void 0,i=!1,this.inTransaction||this.behaviors.isUpdating.next(!0),s.label=2;case 2:if(s.trys.push([2,,7,8]),RE.is(A)){if(A.editInfo.applied)throw new Error("This builder has already been applied. Create a new builder for further state updates");A.editInfo.applied=!0}return this.reverted=!1,e&&(e.revertIfAborted||e.revertOnError)?[4,this._revertibleTreeUpdate(n,r,e)]:[3,4];case 3:return a=s.sent(),[3,6];case 4:return[4,this._updateTree(n,r)];case 5:a=s.sent(),s.label=6;case 6:return o=a,i=this.reverted,o.ctx.hadError&&(this.inTransactionError=!0),o.cell?[2,new Nd(o.cell.transform.ref,this)]:[2];case 7:return this._inUpdate=!1,this.updateQueue.handled(r),this.inTransaction||(this.behaviors.isUpdating.next(!1),(null==e?void 0:e.canUndo)?i||this.addHistory(t,"string"==typeof e.canUndo?e.canUndo:void 0):this.undoingHistory||this.clearHistory()),[7];case 8:return[2]}}))}))}),(function(){t.updateQueue.remove(r)}))},A.prototype._revertibleTreeUpdate=function(A,e,t){return F(this,void 0,void 0,(function(){var r,n;return U(this,(function(i){switch(i.label){case 0:return r=this.tree,[4,this._updateTree(A,e)];case 1:return((n=i.sent()).ctx.hadError||n.ctx.wasAborted)&&t.revertOnError||n.ctx.wasAborted&&t.revertIfAborted?(this.reverted=!0,[4,this._updateTree(A,{tree:r,options:e.options})]):[3,3];case 2:return[2,i.sent()];case 3:return[2,n]}}))}))},A.prototype._updateTree=function(A,e){return F(this,void 0,void 0,(function(){var t,r,n;return U(this,(function(i){switch(i.label){case 0:t=!1,r=this.updateTreeAndCreateCtx(e.tree,A,e.options),i.label=1;case 1:return i.trys.push([1,,3,4]),[4,VE(r)];case 2:return t=i.sent(),RE.isTo(e.tree)?(n=this.select(e.tree.ref)[0],[2,{ctx:r,cell:n}]):[2,{ctx:r}];case 3:return this.spine.current=void 0,t&&this.events.changed.next({state:this,inTransaction:this.inTransaction}),[7];case 4:return[2]}}))}))},A.prototype.updateTreeAndCreateCtx=function(A,e,t){var r=(RE.is(A)?A.getTree():A).asTransient(),n=this._tree;this._tree=r;var i=this.cells,o={parent:this,editInfo:RE.is(A)?A.editInfo:void 0,errorFree:this.errorFree,taskCtx:e,oldTree:n,tree:r,cells:this.cells,spine:this.spine,results:[],options:w(w({},_E),t),changed:!1,hadError:!1,wasAborted:!1,newCurrent:void 0,getCellData:function(A){var e;return null===(e=i.get(A).obj)||void 0===e?void 0:e.data}};return this.errorFree=!0,o},A}();(xE=YE||(YE={})).create=function(A,e){return new xE(A,e)},(xE.ObjectEvent||(xE.ObjectEvent={})).isCell=function(A,e){return!!e&&A.ref===e.transform.ref&&A.state===e.parent};var _E={doNotLogTiming:!1,doNotUpdateCurrent:!0,revertIfAborted:!1,revertOnError:!1,canUndo:!1};function VE(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w,F,S;return U(this,(function(U){switch(U.label){case 0:if(e=!(!A.editInfo||1!==A.editInfo.count||!A.editInfo.lastUpdate||A.editInfo.sourceTree!==A.oldTree),r=[],e)t=[],n=[A.editInfo.lastUpdate];else{for(t=function(A){var e={newTree:A.tree,cells:A.cells,deletes:[]};return Ld.doPostOrder(A.oldTree,A.oldTree.root,e,PE),e.deletes}(A),F=A.parent.current,i=!1,o=0,a=t;o<a.length;o++)if((d=a[o])===F){i=!0;break}for(i&&(s=ZE(A.oldTree,F,t,A.cells),A.parent.setCurrent(s)),I=t.length-1;I>=0;I--)(C=A.cells.get(t[I]))&&tf(C.transform,C.obj,null==C?void 0:C.transform.params,C.cache,A.parent.globalContext);for(u=0,g=t;u<g.length;u++)d=g[u],(C=A.cells.get(d))&&(C.parent=void 0,jE(C)),c=C&&C.obj,A.cells.delete(d),r.push(c);N=A.cells,R=A.tree,H={roots:[],cells:N},Ld.doPreOrder(R,R.root,H,TE),n=H.roots}for(B=function(A,e){for(var t,r={ctx:A,visited:new Set,added:[]},n=0,i=e;n<i.length;n++){var o=i[n];Ld.doPreOrder(A.tree,A.tree.transforms.get(o),r,zE)}for(var a=0,s=r.added;a<s.length;a++)qE(s[a],A);return r.visited.forEach((function(e){for(var n=0,i=A.cells.get(e).dependencies.dependentBy;n<i.length;n++){var o=i[n];r.visited.has(o.transform.ref)||(t||(t=zg.create()),zg.add(t,o.transform.ref,o))}})),{added:r.added,dependent:t?t.array:void 0}}(A,n),l=0,Q=B.added;l<Q.length;l++)C=Q[l],A.parent.events.cell.created.next({state:A.parent,ref:C.transform.ref,cell:C});for(I=0;I<t.length;I++)d=t[I],h=A.oldTree.transforms.get(d).parent,A.parent.events.object.removed.next({state:A.parent,ref:d,obj:r[I]}),A.parent.events.cell.removed.next({state:A.parent,ref:d,parent:h});if(r.length&&(r=[]),B.dependent)for(E=0,f=B.dependent;E<f.length;E++)C=f[E],n.push(C.transform.ref);!function(A,e){for(var t=0,r=e;t<r.length;t++){var n=r[t];Ld.doPreOrder(A.tree,A.tree.transforms.get(n),A,KE)}}(A,n),p=0,m=n,U.label=1;case 1:return p<m.length?(y=m[p],[4,Af(A,y)]):[3,4];case 2:U.sent(),U.label=3;case 3:return p++,[3,1];case 4:for(A.editInfo||function(A){Ld.doPreOrder(A.tree,A.tree.root,A,JE)}(A),v=A.newCurrent,D=0,b=A.results;D<b.length;D++)"created"===(w=b[D]).action?(A.parent.events.object.created.next({state:A.parent,ref:w.ref,obj:w.obj}),A.newCurrent||A.tree.transforms.get(w.ref).state.isGhost||w.obj===Dd.Null||(v=w.ref)):"updated"===w.action?A.parent.events.object.updated.next({state:A.parent,ref:w.ref,action:"in-place",obj:w.obj,oldData:w.oldData}):"replaced"===w.action&&A.parent.events.object.updated.next({state:A.parent,ref:w.ref,action:"recreate",obj:w.obj,oldObj:w.oldObj});return v?A.options.doNotUpdateCurrent||A.parent.setCurrent(v):(F=A.parent.current,(S=A.cells.get(F))&&(S.obj===Dd.Null||"error"===S.status&&S.errorText===$E)&&(v=ZE(A.oldTree,F,[],A.cells),A.parent.setCurrent(v))),[2,t.length>0||n.length>0||A.changed]}var N,R,H}))}))}function TE(A,e,t){var r=t.cells.get(A.ref);return r&&r.transform.version===A.version?"error"!==r.status&&(!r||r.obj!==Dd.Null):(t.roots.push(A.ref),!1)}function PE(A,e,t){!t.newTree.transforms.has(A.ref)&&t.cells.has(A.ref)&&t.deletes.push(A.ref)}function JE(A,e,t){var r=t.cells.get(A.ref);r&&Gd.syncState(r.state,A.state)&&t.parent.events.cell.stateUpdated.next({state:t.parent,ref:A.ref,cell:r})}function OE(A,e,t,r){var n=A.cells.get(e),i=n.status!==t;n.status=t,n.errorText=r,i&&A.parent.events.cell.stateUpdated.next({state:A.parent,ref:e,cell:n})}function KE(A,e,t){t.cells.get(A.ref).transform=A,OE(t,A.ref,"pending")}function jE(A){for(var e=0,t=A.dependencies.dependsOn;e<t.length;e++)pr(t[e].dependencies.dependentBy,A)}function zE(A,e,t){var r=t.ctx,n=t.added;if(t.visited.add(A.ref),!r.cells.has(A.ref)){var i={parent:r.parent,transform:A,sourceRef:void 0,status:"pending",state:w({},A.state),errorText:void 0,params:void 0,paramsNormalizedVersion:"",dependencies:{dependentBy:[],dependsOn:[]},cache:void 0};r.cells.set(A.ref,i),n.push(i)}}function qE(A,e){if(A.transform.dependsOn)for(var t=0,r=A.transform.dependsOn;t<r.length;t++){var 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d=i[c],h=d.type,E=d.name,f=_s(u[c],Jf(h));a.push(E),s.push(h),g.set(E,f)}t.push({kind:"table",rowCount:n,propertyNames:a,propertyTypes:s,getProperty:function(A){return g.get(A)}})}function Kf(A,e){for(var t=A.elements,r=A.tokenizer,n=e.count,i=e.property,o=Gs.create(r.data,2*n*3),a=new Uint32Array(n+1),s=0,u=0,g=n;u<g;++u){for(Ks.skipWhitespace(r),Ks.markStart(r);10!==Ks.skipWhitespace(r);)++s,Ks.markStart(r),Ks.eatValue(r),Gs.addToken(o,r);a[u+1]=s}var c={entries:[],count:0},B=_s(o,Jf(i.dataType));t.push({kind:"list",rowCount:n,name:i.name,type:i.dataType,value:function(A){for(var e=a[A]+1,t=B.value(e-1),r=e,n=e+t;r<n;++r)c.entries[r-e]=B.value(r);return c.count=t,c}})}function jf(A,e){return F(this,void 0,void 0,(function(){var t,r,n,i,o,a;return U(this,(function(s){return t=function(A,e){return{data:A,tokenizer:Ks(A),runtimeCtx:e,comments:[],elementSpecs:[],elements:[]}}(A,e),e.update({message:"Parsing...",current:0,max:A.length}),function(A){var 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e?(Y.updateIfChanged(e.uMarker,0),Y.update(e.tMarker,t),Y.update(e.uMarkerTexDim,BA.create(t.width,t.height)),Y.updateIfChanged(e.dMarkerType,-1===n?"groupInstance":"uniform"),Y.updateIfChanged(e.markerAverage,r),Y.updateIfChanged(e.markerStatus,n),e):{uMarker:Y.create(0),tMarker:Y.create(t),uMarkerTexDim:Y.create(BA.create(t.width,t.height)),markerAverage:Y.create(r),markerStatus:Y.create(n),dMarkerType:Y.create("uniform")}}$C[1]=1,$C[2]=1,$C[3]=1,$C[256]=1,$C[512]=1,$C[768]=1,$C[257]=2,$C[513]=2,$C[769]=2,$C[258]=2,$C[514]=2,$C[770]=2,$C[259]=2,$C[515]=2,$C[771]=2,new Uint8Array(1);var tp=new ArrayBuffer(4);new Int32Array(tp),new Float32Array(tp);var rp=new ArrayBuffer(4),np=new Int32Array(rp),ip=new Float32Array(rp);function op(A){return function(A){var e=A<-126?-126:A;return np[0]=(1<<23)*(e+126.94269504),ip[0]}(1.44269504*A)}var ap=new ArrayBuffer(8);new Int32Array(ap),new Float32Array(ap);var sp=new ArrayBuffer(4),up=new Int32Array(sp),gp=new 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function(A,e,t){var r=A.groupCount,n=OC(Math.max(1,r),3,Uint8Array,t&&t.tSize.ref.value.array);for(A.reset();A.hasNext&&!A.isNextNewInstance;){var i=A.move();Qp(e(i.location)*pp,n.array,3*i.groupIndex)}return vp(n,"group",t)}(A,e.size,t);case"groupInstance":return function(A,e,t){var r=A.groupCount,n=A.instanceCount*r,i=OC(Math.max(1,n),3,Uint8Array,t&&t.tSize.ref.value.array);for(A.reset();A.hasNext;){var o=A.move();Qp(e(o.location)*pp,i.array,3*o.index)}return vp(i,"groupInstance",t)}(A,e.size,t);case"instance":return function(A,e,t){var r=A.instanceCount,n=OC(Math.max(1,r),3,Uint8Array,t&&t.tSize.ref.value.array);for(A.reset();A.hasNext&&!A.isNextNewInstance;){var i=A.move();Qp(e(i.location)*pp,n.array,3*i.instanceIndex),A.skipInstance()}return vp(n,"instance",t)}(A,e.size,t)}}var pp=100;function mp(A){switch(A.dSizeType.ref.value){case"uniform":return A.uSize.ref.value;case"instance":case"group":case"groupInstance":for(var e=0,t=A.tSize.ref.value.array,r=0,n=t.length;r<n;r+=3){var i=Ip(t[r],t[r+1],t[r+2]);e<i&&(e=i)}return e/pp}}var yp={array:new Uint8Array(3),width:1,height:1};function vp(A,e,t){return t?(Y.update(t.tSize,A),Y.update(t.uSizeTexDim,BA.create(A.width,A.height)),Y.updateIfChanged(t.dSizeType,e),t):{uSize:Y.create(0),tSize:Y.create(A),uSizeTexDim:Y.create(BA.create(A.width,A.height)),dSizeType:Y.create(e)}}var Dp,bp=x();function wp(A){var e=A.checkFramebufferStatus(A.FRAMEBUFFER);if(e!==A.FRAMEBUFFER_COMPLETE){var t=function(A,e){switch(e){case A.FRAMEBUFFER_COMPLETE:return"complete";case A.FRAMEBUFFER_INCOMPLETE_ATTACHMENT:return"incomplete attachment";case A.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT:return"incomplete missing attachment";case A.FRAMEBUFFER_INCOMPLETE_DIMENSIONS:return"incomplete dimensions";case A.FRAMEBUFFER_UNSUPPORTED:return"unsupported"}if(Gm(A))switch(e){case A.FRAMEBUFFER_INCOMPLETE_MULTISAMPLE:return"incomplete multisample";case A.RENDERBUFFER_SAMPLES:return"renderbuffer samples"}return"unknown error"}(A,e);throw new 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r=function(A){if(Gm(A))return{FRAGMENT_SHADER_DERIVATIVE_HINT:A.FRAGMENT_SHADER_DERIVATIVE_HINT};var e=A.getExtension("OES_standard_derivatives");return null===e?null:{FRAGMENT_SHADER_DERIVATIVE_HINT:e.FRAGMENT_SHADER_DERIVATIVE_HINT_OES}}(A);if(null===r)throw new Error('Could not find support for "standard_derivatives"');var n=function(A){return Gm(A)?{}:A.getExtension("OES_texture_float")}(A);Fe&&null===n&&console.log('Could not find support for "texture_float"');var i=function(A){return A.getExtension("OES_texture_float_linear")}(A);Fe&&null===i&&console.log('Could not find support for "texture_float_linear"');var o=function(A){if(Gm(A))return{HALF_FLOAT:A.HALF_FLOAT};var e=A.getExtension("OES_texture_half_float");return null===e?null:{HALF_FLOAT:e.HALF_FLOAT_OES}}(A);Fe&&null===o&&console.log('Could not find support for "texture_half_float"');var a=function(A){return A.getExtension("OES_texture_half_float_linear")}(A);Fe&&null===a&&console.log('Could not find support for "texture_half_float_linear"');var s=function(A){if(Gm(A))return{UNSIGNED_INT_24_8:A.UNSIGNED_INT_24_8};var e=A.getExtension("WEBGL_depth_texture");return null===e?null:{UNSIGNED_INT_24_8:e.UNSIGNED_INT_24_8_WEBGL}}(A);Fe&&null===s&&console.log('Could not find support for "depth_texture"');var u=function(A){if(Gm(A))return{MIN:A.MIN,MAX:A.MAX};var e=A.getExtension("EXT_blend_minmax");return null===e?null:{MIN:e.MIN_EXT,MAX:e.MAX_EXT}}(A);Fe&&null===u&&console.log('Could not find support for "blend_minmax"');var g=function(A){if(Gm(A))return{VERTEX_ARRAY_BINDING:A.VERTEX_ARRAY_BINDING,bindVertexArray:A.bindVertexArray.bind(A),createVertexArray:A.createVertexArray.bind(A),deleteVertexArray:A.deleteVertexArray.bind(A),isVertexArray:A.isVertexArray.bind(A)};var e=A.getExtension("OES_vertex_array_object");return null===e?null:{VERTEX_ARRAY_BINDING:e.VERTEX_ARRAY_BINDING_OES,bindVertexArray:e.bindVertexArrayOES.bind(e),createVertexArray:e.createVertexArrayOES.bind(e),deleteVertexArray:e.deleteVertexArrayOES.bind(e),isVertexArray:e.isVertexArrayOES.bind(e)}}(A);Fe&&null===g&&console.log('Could not find support for "vertex_array_object"');var c=function(A){return Gm(A)?{}:A.getExtension("EXT_frag_depth")}(A);Fe&&null===c&&console.log('Could not find support for "frag_depth"');var B=function(A){if(Gm(A))return null===A.getExtension("EXT_color_buffer_float")?null:(A.getExtension("EXT_float_blend"),{RGBA32F:A.RGBA32F});var e=A.getExtension("WEBGL_color_buffer_float");return null===e?(A.getExtension("OES_texture_float"),Lm(A,A.FLOAT)?{RGBA32F:34836}:null):(A.getExtension("EXT_float_blend"),{RGBA32F:e.RGBA32F_EXT})}(A);Fe&&null===B&&console.log('Could not find support for "color_buffer_float"');var l=function(A){if(Gm(A))return null===A.getExtension("EXT_color_buffer_half_float")?null:(A.getExtension("EXT_float_blend"),{RGBA16F:A.RGBA16F});var e=A.getExtension("EXT_color_buffer_half_float");return null===e?(A.getExtension("OES_texture_half_float"),Lm(A,36193)?{RGBA16F:34842}:null):(A.getExtension("EXT_float_blend"),{RGBA16F:e.RGBA16F_EXT})}(A);Fe&&null===l&&console.log('Could not find support for "color_buffer_half_float"');var Q=function(A){if(Gm(A))return{drawBuffers:A.drawBuffers.bind(A),COLOR_ATTACHMENT0:A.COLOR_ATTACHMENT0,COLOR_ATTACHMENT1:A.COLOR_ATTACHMENT1,COLOR_ATTACHMENT2:A.COLOR_ATTACHMENT2,COLOR_ATTACHMENT3:A.COLOR_ATTACHMENT3,COLOR_ATTACHMENT4:A.COLOR_ATTACHMENT4,COLOR_ATTACHMENT5:A.COLOR_ATTACHMENT5,COLOR_ATTACHMENT6:A.COLOR_ATTACHMENT6,COLOR_ATTACHMENT7:A.COLOR_ATTACHMENT7,DRAW_BUFFER0:A.DRAW_BUFFER0,DRAW_BUFFER1:A.DRAW_BUFFER1,DRAW_BUFFER2:A.DRAW_BUFFER2,DRAW_BUFFER3:A.DRAW_BUFFER3,DRAW_BUFFER4:A.DRAW_BUFFER4,DRAW_BUFFER5:A.DRAW_BUFFER5,DRAW_BUFFER6:A.DRAW_BUFFER6,DRAW_BUFFER7:A.DRAW_BUFFER7,MAX_COLOR_ATTACHMENTS:A.MAX_COLOR_ATTACHMENTS,MAX_DRAW_BUFFERS:A.MAX_DRAW_BUFFERS};var e=A.getExtension("WEBGL_draw_buffers");return null===e?null:{drawBuffers:e.drawBuffersWEBGL.bind(e),COLOR_ATTACHMENT0:e.COLOR_ATTACHMENT0_WEBGL,COLOR_ATTACHMENT1:e.COLOR_ATTACHMENT1_WEBGL,COLOR_ATTACHMENT2:e.COLOR_ATTACHMENT2_WEBGL,COLOR_ATTACHMENT3:e.COLOR_ATTACHMENT3_WEBGL,COLOR_ATTACHMENT4:e.COLOR_ATTACHMENT4_WEBGL,COLOR_ATTACHMENT5:e.COLOR_ATTACHMENT5_WEBGL,COLOR_ATTACHMENT6:e.COLOR_ATTACHMENT6_WEBGL,COLOR_ATTACHMENT7:e.COLOR_ATTACHMENT7_WEBGL,DRAW_BUFFER0:e.DRAW_BUFFER0_WEBGL,DRAW_BUFFER1:e.DRAW_BUFFER1_WEBGL,DRAW_BUFFER2:e.DRAW_BUFFER2_WEBGL,DRAW_BUFFER3:e.DRAW_BUFFER3_WEBGL,DRAW_BUFFER4:e.DRAW_BUFFER4_WEBGL,DRAW_BUFFER5:e.DRAW_BUFFER5_WEBGL,DRAW_BUFFER6:e.DRAW_BUFFER6_WEBGL,DRAW_BUFFER7:e.DRAW_BUFFER7_WEBGL,MAX_COLOR_ATTACHMENTS:e.MAX_COLOR_ATTACHMENTS_WEBGL,MAX_DRAW_BUFFERS:e.MAX_DRAW_BUFFERS_WEBGL}}(A);Fe&&null===Q&&console.log('Could not find support for "draw_buffers"');var I=function(A){return Gm(A)?{}:A.getExtension("EXT_shader_texture_lod")}(A);Fe&&null===I&&console.log('Could not find support for 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A},A.divideByAlpha=function(A){for(var e=A.array,t=e instanceof Uint8Array?255:1,r=0,n=e.length;r<n;r+=4){var i=e[r+3]/t;e[r]/=i,e[r+1]/=i,e[r+2]/=i}return A}}(Dp||(Dp={}));var Sp=x(),Np={apply_fog:"\nfloat viewZ = depthToViewZ(uIsOrtho, fragmentDepth, uNear, uFar);\nfloat fogFactor = smoothstep(uFogNear, uFogFar, abs(viewZ));\nfloat fogAlpha = (1.0 - fogFactor) * gl_FragColor.a;\nfloat preFogAlpha = gl_FragColor.a;\nif (!uTransparentBackground) {\n    if (gl_FragColor.a < 1.0) {\n        // transparent objects are blended with background color\n        gl_FragColor.a = fogAlpha;\n    } else {\n        // mix opaque objects with background color\n        gl_FragColor.rgb = mix(gl_FragColor.rgb, uFogColor, fogFactor);\n    }\n} else {\n    // pre-multiplied alpha expected for transparent background\n    gl_FragColor.rgb *= fogAlpha;\n    gl_FragColor.a = fogAlpha;\n}\n",apply_interior_color:"\nif (interior) {\n    if (uInteriorColorFlag) {\n        gl_FragColor.rgb = uInteriorColor;\n    } else {\n        gl_FragColor.rgb *= 1.0 - uInteriorDarkening;\n    }\n}\n",apply_light_color:"\n#ifdef bumpEnabled\n    if (uBumpFrequency > 0.0 && uBumpAmplitude > 0.0) {\n        vec3 bumpNormal = perturbNormal(-vViewPosition, normal, fbm(vModelPosition * uBumpFrequency), (uBumpAmplitude * bumpiness) / uBumpFrequency);\n        #ifdef enabledFragDepth\n            if (!any(isNaN(bumpNormal))) normal = bumpNormal;\n        #else\n            normal = bumpNormal;\n        #endif\n    }\n#endif\n\nvec4 color = material;\n\nReflectedLight reflectedLight = ReflectedLight(vec3(0.0), vec3(0.0), vec3(0.0), vec3(0.0));\n\nPhysicalMaterial physicalMaterial;\nphysicalMaterial.diffuseColor = color.rgb * (1.0 - metalness);\n#ifdef enabledFragDepth\n    physicalMaterial.roughness = min(max(roughness, 0.0525), 1.0);\n#else\n    vec3 dxy = max(abs(dFdx(normal)), abs(dFdy(normal)));\n    float geometryRoughness = max(max(dxy.x, dxy.y), dxy.z);\n    physicalMaterial.roughness = min(max(roughness, 0.0525) + geometryRoughness, 1.0);\n#endif\nphysicalMaterial.specularColor = mix(vec3(0.04), color.rgb, metalness);\nphysicalMaterial.specularF90 = 1.0;\n\nGeometricContext geometry;\ngeometry.position = -vViewPosition;\ngeometry.normal = normal;\ngeometry.viewDir = normalize(vViewPosition);\n\nIncidentLight directLight;\n#pragma unroll_loop_start\nfor (int i = 0; i < dLightCount; ++i) {\n    directLight.direction = uLightDirection[i];\n    directLight.color = uLightColor[i] * PI; // * PI for punctual light\n    RE_Direct_Physical(directLight, geometry, physicalMaterial, reflectedLight);\n}\n#pragma unroll_loop_end\n\nvec3 irradiance = uAmbientColor * PI; // * PI for punctual light\nRE_IndirectDiffuse_Physical(irradiance, geometry, physicalMaterial, reflectedLight);\n\n// indirect specular only metals\nvec3 radiance = uAmbientColor * metalness;\nvec3 iblIrradiance = uAmbientColor * metalness;\nvec3 clearcoatRadiance = vec3(0.0);\nRE_IndirectSpecular_Physical(radiance, iblIrradiance, clearcoatRadiance, geometry, physicalMaterial, reflectedLight);\n\nvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular;\n\ngl_FragColor = vec4(outgoingLight, color.a);\n\n#ifdef dXrayShaded\n    gl_FragColor.a *= 1.0 - pow(abs(dot(normal, vec3(0.0, 0.0, 1.0))), uXrayEdgeFalloff);\n#endif\n",apply_marker_color:"\nif (marker > 0.0) {\n    if ((uMarkerPriority == 1 && marker != 2.0) || (uMarkerPriority != 1 && marker == 1.0)) {\n        gl_FragColor.rgb = mix(gl_FragColor.rgb, uHighlightColor, uHighlightStrength);\n        gl_FragColor.a = max(gl_FragColor.a, uHighlightStrength * 0.002); // for direct-volume rendering\n    } else {\n        gl_FragColor.rgb = mix(gl_FragColor.rgb, uSelectColor, uSelectStrength);\n        gl_FragColor.a = max(gl_FragColor.a, uSelectStrength * 0.002); // for direct-volume rendering\n    }\n}\n",assign_clipping_varying:"\n#if dClipObjectCount != 0 && defined(dClipping)\n    vClipping = readFromTexture(tClipping, aInstance * float(uGroupCount) + group, uClippingTexDim).a;\n#endif\n",assign_color_varying:"\n#if defined(dRenderVariant_color)\n    #if defined(dColorType_attribute)\n        vColor.rgb = aColor;\n    #elif defined(dColorType_instance)\n        vColor.rgb = readFromTexture(tColor, aInstance, uColorTexDim).rgb;\n    #elif defined(dColorType_group)\n        vColor.rgb = readFromTexture(tColor, group, uColorTexDim).rgb;\n    #elif defined(dColorType_groupInstance)\n        vColor.rgb = readFromTexture(tColor, aInstance * float(uGroupCount) + group, uColorTexDim).rgb;\n    #elif defined(dColorType_vertex)\n        vColor.rgb = readFromTexture(tColor, VertexID, uColorTexDim).rgb;\n    #elif defined(dColorType_vertexInstance)\n        vColor.rgb = readFromTexture(tColor, int(aInstance) * uVertexCount + VertexID, uColorTexDim).rgb;\n    #elif defined(dColorType_volume)\n        vec3 cgridPos = (uColorGridTransform.w * (position - uColorGridTransform.xyz)) / uColorGridDim;\n        vColor.rgb = texture3dFrom2dLinear(tColorGrid, cgridPos, uColorGridDim, uColorTexDim).rgb;\n    #elif defined(dColorType_volumeInstance)\n        vec3 cgridPos = (uColorGridTransform.w * (vModelPosition - uColorGridTransform.xyz)) / uColorGridDim;\n        vColor.rgb = texture3dFrom2dLinear(tColorGrid, cgridPos, uColorGridDim, uColorTexDim).rgb;\n    #endif\n\n    #ifdef dUsePalette\n        vPaletteV = ((vColor.r * 256.0 * 256.0 * 255.0 + vColor.g * 256.0 * 255.0 + vColor.b * 255.0) - 1.0) / 16777215.0;\n    #endif\n\n    #ifdef dOverpaint\n        #if defined(dOverpaintType_groupInstance)\n            vOverpaint = readFromTexture(tOverpaint, aInstance * float(uGroupCount) + group, uOverpaintTexDim);\n        #elif defined(dOverpaintType_vertexInstance)\n            vOverpaint = readFromTexture(tOverpaint, int(aInstance) * uVertexCount + VertexID, uOverpaintTexDim);\n        #elif defined(dOverpaintType_volumeInstance)\n            vec3 ogridPos = (uOverpaintGridTransform.w * (vModelPosition - uOverpaintGridTransform.xyz)) / uOverpaintGridDim;\n            vOverpaint = texture3dFrom2dLinear(tOverpaintGrid, ogridPos, uOverpaintGridDim, uOverpaintTexDim);\n        #endif\n\n        // pre-mix to avoid darkening due to empty overpaint\n        #ifdef dColorType_uniform\n            vOverpaint.rgb = mix(uColor.rgb, vOverpaint.rgb, vOverpaint.a);\n        #else\n            vOverpaint.rgb = mix(vColor.rgb, vOverpaint.rgb, vOverpaint.a);\n        #endif\n    #endif\n\n    #ifdef dSubstance\n        #if defined(dSubstanceType_groupInstance)\n            vSubstance = readFromTexture(tSubstance, aInstance * float(uGroupCount) + group, uSubstanceTexDim);\n        #elif defined(dSubstanceType_vertexInstance)\n            vSubstance = readFromTexture(tSubstance, int(aInstance) * uVertexCount + VertexID, uSubstanceTexDim);\n        #elif defined(dSubstanceType_volumeInstance)\n            vec3 sgridPos = (uSubstanceGridTransform.w * (vModelPosition - uSubstanceGridTransform.xyz)) / uSubstanceGridDim;\n            vSubstance = texture3dFrom2dLinear(tSubstanceGrid, sgridPos, uSubstanceGridDim, uSubstanceTexDim);\n        #endif\n\n        // pre-mix to avoid artifacts due to empty substance\n        vSubstance.rgb = mix(vec3(uMetalness, uRoughness, uBumpiness), vSubstance.rgb, vSubstance.a);\n    #endif\n#elif defined(dRenderVariant_pick)\n    #if defined(dRenderVariant_pickObject)\n        vColor = vec4(encodeFloatRGB(float(uObjectId)), 1.0);\n    #elif defined(dRenderVariant_pickInstance)\n        vColor = vec4(encodeFloatRGB(aInstance), 1.0);\n    #elif defined(dRenderVariant_pickGroup)\n        vColor = vec4(encodeFloatRGB(group), 1.0);\n    #endif\n#endif\n\n#ifdef dTransparency\n    vGroup = group;\n\n    #if defined(dTransparencyType_groupInstance)\n        vTransparency = readFromTexture(tTransparency, aInstance * float(uGroupCount) + group, uTransparencyTexDim).a;\n    #elif defined(dTransparencyType_vertexInstance)\n        vTransparency = readFromTexture(tTransparency, int(aInstance) * uVertexCount + VertexID, uTransparencyTexDim).a;\n    #elif defined(dTransparencyType_volumeInstance)\n        vec3 tgridPos = (uTransparencyGridTransform.w * (vModelPosition - uTransparencyGridTransform.xyz)) / uTransparencyGridDim;\n        vTransparency = texture3dFrom2dLinear(tTransparencyGrid, tgridPos, uTransparencyGridDim, uTransparencyTexDim).a;\n    #endif\n#endif\n",assign_group:"\n#ifdef dGeoTexture\n    float group = decodeFloatRGB(readFromTexture(tGroup, VertexID, uGeoTexDim).rgb);\n#else\n    float group = aGroup;\n#endif\n",assign_marker_varying:"\n#if defined(dMarkerType_groupInstance)\n    vMarker = readFromTexture(tMarker, aInstance * float(uGroupCount) + group, uMarkerTexDim).a;\n#endif\n",assign_material_color:"\n#if defined(dRenderVariant_color) || defined(dRenderVariant_marking)\n    #if defined(dMarkerType_uniform)\n        float marker = uMarker;\n    #elif defined(dMarkerType_groupInstance)\n        float marker = floor(vMarker * 255.0 + 0.5); // rounding required to work on some cards on win\n    #endif\n#endif\n\n#if defined(dRenderVariant_color)\n    #if defined(dUsePalette)\n        vec4 material = vec4(texture2D(tPalette, vec2(vPaletteV, 0.5)).rgb, uAlpha);\n    #elif defined(dColorType_uniform)\n        vec4 material = vec4(uColor, uAlpha);\n    #elif defined(dColorType_varying)\n        vec4 material = vec4(vColor.rgb, uAlpha);\n    #endif\n\n    // mix material with overpaint\n    #if defined(dOverpaint)\n        material.rgb = mix(material.rgb, vOverpaint.rgb, vOverpaint.a);\n    #endif\n\n    float metalness = uMetalness;\n    float roughness = uRoughness;\n    float bumpiness = uBumpiness;\n    #ifdef dSubstance\n        metalness = mix(metalness, vSubstance.r, vSubstance.a);\n        roughness = mix(roughness, vSubstance.g, vSubstance.a);\n        bumpiness = mix(bumpiness, vSubstance.b, vSubstance.a);\n    #endif\n#elif defined(dRenderVariant_pick)\n    vec4 material = vColor;\n#elif defined(dRenderVariant_depth)\n    #ifdef enabledFragDepth\n        vec4 material = packDepthToRGBA(gl_FragDepthEXT);\n    #else\n        vec4 material = packDepthToRGBA(gl_FragCoord.z);\n    #endif\n#elif defined(dRenderVariant_markingDepth)\n    if (marker > 0.0)\n        discard;\n    #ifdef enabledFragDepth\n        vec4 material = packDepthToRGBA(gl_FragDepthEXT);\n    #else\n        vec4 material = packDepthToRGBA(gl_FragCoord.z);\n    #endif\n#elif defined(dRenderVariant_markingMask)\n    if (marker == 0.0)\n        discard;\n    float depthTest = 1.0;\n    if (uMarkingDepthTest) {\n        depthTest = (fragmentDepth >= getDepth(gl_FragCoord.xy / uDrawingBufferSize)) ? 1.0 : 0.0;\n    }\n    bool isHighlight = intMod(marker, 2.0) > 0.1;\n    float viewZ = depthToViewZ(uIsOrtho, fragmentDepth, uNear, uFar);\n    float fogFactor = smoothstep(uFogNear, uFogFar, abs(viewZ));\n    if (fogFactor == 1.0)\n        discard;\n    vec4 material = vec4(0.0, depthTest, isHighlight ? 1.0 : 0.0, 1.0 - fogFactor);\n#endif\n\n// apply screendoor transparency\n#if defined(dTransparency)\n    float ta = 1.0 - vTransparency;\n    #if defined(dRenderVariant_colorWboit)\n        if (vTransparency < 0.2) ta = 1.0; // hard cutoff looks better with wboit\n    #endif\n\n    #if defined(dRenderVariant_pick)\n        if (ta < uPickingAlphaThreshold)\n            discard; // ignore so the element below can be picked\n    #else\n        #if defined(dRenderVariant_colorBlended)\n            float at = 0.0;\n\n            // shift by view-offset during multi-sample rendering to allow for blending\n            vec2 coord = gl_FragCoord.xy + uViewOffset * 0.25;\n\n            const mat4 thresholdMatrix = mat4(\n                1.0 / 17.0,  9.0 / 17.0,  3.0 / 17.0, 11.0 / 17.0,\n                13.0 / 17.0,  5.0 / 17.0, 15.0 / 17.0,  7.0 / 17.0,\n                4.0 / 17.0, 12.0 / 17.0,  2.0 / 17.0, 10.0 / 17.0,\n                16.0 / 17.0,  8.0 / 17.0, 14.0 / 17.0,  6.0 / 17.0\n            );\n            int ci = int(intMod(coord.x, 4.0));\n            int ri = int(intMod(coord.y, 4.0));\n            #if __VERSION__ == 100\n                vec4 i = vec4(float(ci * 4 + ri));\n                vec4 v = thresholdMatrix[0] * vec4(equal(i, vec4(0.0, 1.0, 2.0, 3.0))) +\n                    thresholdMatrix[1] * vec4(equal(i, vec4(4.0, 5.0, 6.0, 7.0))) +\n                    thresholdMatrix[2] * vec4(equal(i, vec4(8.0, 9.0, 10.0, 11.0))) +\n                    thresholdMatrix[3] * vec4(equal(i, vec4(12.0, 13.0, 14.0, 15.0)));\n                at = v.x + v.y + v.z + v.w;\n            #else\n                at = thresholdMatrix[ci][ri];\n            #endif\n\n            if (ta < 0.99 && (ta < 0.01 || ta < at)) {\n                discard;\n            }\n        #elif defined(dRenderVariant_colorWboit)\n            material.a *= ta;\n        #endif\n    #endif\n#endif\n",assign_position:"\nmat4 model = uModel * aTransform;\nmat4 modelView = uView * model;\n#ifdef dGeoTexture\n    vec3 position = readFromTexture(tPosition, VertexID, uGeoTexDim).xyz;\n#else\n    vec3 position = aPosition;\n#endif\nvec4 position4 = vec4(position, 1.0);\n// for accessing tColorGrid in vert shader and for clipping in frag shader\nvModelPosition = (model * position4).xyz;\nvec4 mvPosition = modelView * position4;\nvViewPosition = mvPosition.xyz;\ngl_Position = uProjection * mvPosition;\n",assign_size:"\n#if defined(dSizeType_uniform)\n    float size = uSize;\n#elif defined(dSizeType_attribute)\n    float size = aSize;\n#elif defined(dSizeType_instance)\n    float size = decodeFloatRGB(readFromTexture(tSize, aInstance, uSizeTexDim).rgb);\n#elif defined(dSizeType_group)\n    float size = decodeFloatRGB(readFromTexture(tSize, group, uSizeTexDim).rgb);\n#elif defined(dSizeType_groupInstance)\n    float size = decodeFloatRGB(readFromTexture(tSize, aInstance * float(uGroupCount) + group, uSizeTexDim).rgb);\n#endif\n\n#if defined(dSizeType_instance) || defined(dSizeType_group) || defined(dSizeType_groupInstance)\n    size /= 100.0; // NOTE factor also set in TypeScript\n#endif\n\nsize *= uSizeFactor;\n",check_picking_alpha:"\nfloat viewZ = depthToViewZ(uIsOrtho, fragmentDepth, uNear, uFar);\nfloat fogFactor = smoothstep(uFogNear, uFogFar, abs(viewZ));\nfloat alpha = (1.0 - fogFactor) * uAlpha;\nif (uAlpha < uPickingAlphaThreshold || alpha < 0.1)\n    discard; // ignore so the element below can be picked\n",clip_instance:"\n#if defined(dClipVariant_instance) && dClipObjectCount != 0\n    int flag = 0;\n    #if defined(dClipping)\n        flag = int(floor(vClipping * 255.0 + 0.5));\n    #endif\n\n    vec4 mCenter = uModel * aTransform * vec4(uInvariantBoundingSphere.xyz, 1.0);\n    if (clipTest(vec4(mCenter.xyz, uInvariantBoundingSphere.w), flag))\n        // move out of [ -w, +w ] to 'discard' in vert shader\n        gl_Position.z = 2.0 * gl_Position.w;\n#endif\n",clip_pixel:"\n#if defined(dClipVariant_pixel) && dClipObjectCount != 0\n    #if defined(dClipping)\n        int clippingFlag = int(floor(vClipping * 255.0 + 0.5));\n    #else\n        int clippingFlag = 0;\n    #endif\n\n    if (clipTest(vec4(vModelPosition, 0.0), clippingFlag))\n        discard;\n#endif\n",color_frag_params:"\nuniform float uMetalness;\nuniform float uRoughness;\nuniform float uBumpiness;\n#ifdef bumpEnabled\n    uniform float uBumpFrequency;\n    uniform float uBumpAmplitude;\n#endif\n\n#if defined(dRenderVariant_color)\n    #if defined(dColorType_uniform)\n        uniform vec3 uColor;\n    #elif defined(dColorType_varying)\n        varying vec4 vColor;\n    #endif\n\n    #ifdef dOverpaint\n        varying vec4 vOverpaint;\n    #endif\n\n    #ifdef dSubstance\n        varying vec4 vSubstance;\n    #endif\n#elif defined(dRenderVariant_pick)\n    #if __VERSION__ == 100\n        varying vec4 vColor;\n    #else\n        flat in vec4 vColor;\n    #endif\n#endif\n\n#ifdef dTransparency\n    varying float vGroup;\n    varying float vTransparency;\n#endif\n\n#ifdef dUsePalette\n    uniform sampler2D tPalette;\n    varying float vPaletteV;\n#endif\n",color_vert_params:"\nuniform float uMetalness;\nuniform float uRoughness;\nuniform float uBumpiness;\n\n#if defined(dRenderVariant_color)\n    #if defined(dColorType_uniform)\n        uniform vec3 uColor;\n    #elif defined(dColorType_attribute)\n        varying vec4 vColor;\n        attribute vec3 aColor;\n    #elif defined(dColorType_texture)\n        varying vec4 vColor;\n        uniform vec2 uColorTexDim;\n        uniform sampler2D tColor;\n    #elif defined(dColorType_grid)\n        varying vec4 vColor;\n        uniform vec2 uColorTexDim;\n        uniform vec3 uColorGridDim;\n        uniform vec4 uColorGridTransform;\n        uniform sampler2D tColorGrid;\n    #endif\n\n    #ifdef dOverpaint\n        #if defined(dOverpaintType_groupInstance) || defined(dOverpaintType_vertexInstance)\n            varying vec4 vOverpaint;\n            uniform vec2 uOverpaintTexDim;\n            uniform sampler2D tOverpaint;\n        #elif defined(dOverpaintType_volumeInstance)\n            varying vec4 vOverpaint;\n            uniform vec2 uOverpaintTexDim;\n            uniform vec3 uOverpaintGridDim;\n            uniform vec4 uOverpaintGridTransform;\n            uniform sampler2D tOverpaintGrid;\n        #endif\n    #endif\n\n    #ifdef dSubstance\n        #if defined(dSubstanceType_groupInstance) || defined(dSubstanceType_vertexInstance)\n            varying vec4 vSubstance;\n            uniform vec2 uSubstanceTexDim;\n            uniform sampler2D tSubstance;\n        #elif defined(dSubstanceType_volumeInstance)\n            varying vec4 vSubstance;\n            uniform vec2 uSubstanceTexDim;\n            uniform vec3 uSubstanceGridDim;\n            uniform vec4 uSubstanceGridTransform;\n            uniform sampler2D tSubstanceGrid;\n        #endif\n    #endif\n#elif defined(dRenderVariant_pick)\n    #if __VERSION__ == 100\n        varying vec4 vColor;\n    #else\n        flat out vec4 vColor;\n    #endif\n#endif\n\n#ifdef dTransparency\n    varying float vGroup;\n    #if defined(dTransparencyType_groupInstance) || defined(dTransparencyType_vertexInstance)\n        varying float vTransparency;\n        uniform vec2 uTransparencyTexDim;\n        uniform sampler2D tTransparency;\n    #elif defined(dTransparencyType_volumeInstance)\n        varying float vTransparency;\n        uniform vec2 uTransparencyTexDim;\n        uniform vec3 uTransparencyGridDim;\n        uniform vec4 uTransparencyGridTransform;\n        uniform sampler2D tTransparencyGrid;\n    #endif\n#endif\n\n#ifdef dUsePalette\n    varying float vPaletteV;\n#endif\n",common_clip:"\n#if dClipObjectCount != 0\n    vec3 quaternionTransform(vec4 q, vec3 v) {\n        vec3 t = 2.0 * cross(q.xyz, v);\n        return v + q.w * t + cross(q.xyz, t);\n    }\n\n    vec4 computePlane(vec3 normal, vec3 inPoint) {\n        return vec4(normalize(normal), -dot(normal, inPoint));\n    }\n\n    float planeSD(vec4 plane, vec3 center) {\n        return -dot(plane.xyz, center - plane.xyz * -plane.w);\n    }\n\n    float sphereSD(vec3 position, vec4 rotation, vec3 size, vec3 center) {\n        return (\n            length(quaternionTransform(vec4(-rotation.x, -rotation.y, -rotation.z, rotation.w), center - position) / size) - 1.0\n        ) * min(min(size.x, size.y), size.z);\n    }\n\n    float cubeSD(vec3 position, vec4 rotation, vec3 size, vec3 center) {\n        vec3 d = abs(quaternionTransform(vec4(-rotation.x, -rotation.y, -rotation.z, rotation.w), center - position)) - size;\n        return min(max(d.x, max(d.y, d.z)), 0.0) + length(max(d, 0.0));\n    }\n\n    float cylinderSD(vec3 position, vec4 rotation, vec3 size, vec3 center) {\n        vec3 t = quaternionTransform(vec4(-rotation.x, -rotation.y, -rotation.z, rotation.w), center - position);\n\n        vec2 d = abs(vec2(length(t.xz), t.y)) - size.xy;\n        return min(max(d.x, d.y), 0.0) + length(max(d, 0.0));\n    }\n\n    float infiniteConeSD(vec3 position, vec4 rotation, vec3 size, vec3 center) {\n        vec3 t = quaternionTransform(vec4(-rotation.x, -rotation.y, -rotation.z, rotation.w), center - position);\n\n        float q = length(t.xy);\n        return dot(size.xy, vec2(q, t.z));\n    }\n\n    float getSignedDistance(vec3 center, int type, vec3 position, vec4 rotation, vec3 scale) {\n        if (type == 1) {\n            vec3 normal = quaternionTransform(rotation, vec3(0.0, 1.0, 0.0));\n            vec4 plane = computePlane(normal, position);\n            return planeSD(plane, center);\n        } else if (type == 2) {\n            return sphereSD(position, rotation, scale * 0.5, center);\n        } else if (type == 3) {\n            return cubeSD(position, rotation, scale * 0.5, center);\n        } else if (type == 4) {\n            return cylinderSD(position, rotation, scale * 0.5, center);\n        } else if (type == 5) {\n            return infiniteConeSD(position, rotation, scale * 0.5, center);\n        } else {\n            return 0.1;\n        }\n    }\n\n    #if __VERSION__ == 100\n        // 8-bit\n        int bitwiseAnd(int a, int b) {\n            int d = 128;\n            int result = 0;\n            for (int i = 0; i < 8; ++i) {\n                if (d <= 0) break;\n                if (a >= d && b >= d) result += d;\n                if (a >= d) a -= d;\n                if (b >= d) b -= d;\n                d /= 2;\n            }\n            return result;\n        }\n\n        bool hasBit(int mask, int bit) {\n            return bitwiseAnd(mask, bit) == 0;\n        }\n    #else\n        bool hasBit(int mask, int bit) {\n            return (mask & bit) == 0;\n        }\n    #endif\n\n    // flag is a bit-flag for clip-objects to ignore (note, object ids start at 1 not 0)\n    bool clipTest(vec4 sphere, int flag) {\n        #pragma unroll_loop_start\n        for (int i = 0; i < dClipObjectCount; ++i) {\n            if (flag == 0 || hasBit(flag, UNROLLED_LOOP_INDEX + 1)) {\n                // TODO take sphere radius into account?\n                bool test = getSignedDistance(sphere.xyz, uClipObjectType[i], uClipObjectPosition[i], uClipObjectRotation[i], uClipObjectScale[i]) <= 0.0;\n                if ((!uClipObjectInvert[i] && test) || (uClipObjectInvert[i] && !test)) {\n                    return true;\n                }\n            }\n        }\n        #pragma unroll_loop_end\n        return false;\n    }\n#endif\n",common_frag_params:'\nuniform int uObjectId;\nuniform int uInstanceCount;\nuniform int uGroupCount;\n\n#if dClipObjectCount != 0\n    uniform int uClipObjectType[dClipObjectCount];\n    uniform bool uClipObjectInvert[dClipObjectCount];\n    uniform vec3 uClipObjectPosition[dClipObjectCount];\n    uniform vec4 uClipObjectRotation[dClipObjectCount];\n    uniform vec3 uClipObjectScale[dClipObjectCount];\n\n    #if defined(dClipping)\n        #if __VERSION__ == 100\n            varying float vClipping;\n        #else\n            flat in float vClipping;\n        #endif\n    #endif\n#endif\n\nuniform vec3 uHighlightColor;\nuniform vec3 uSelectColor;\nuniform float uHighlightStrength;\nuniform float uSelectStrength;\nuniform int uMarkerPriority;\n\n#if defined(dMarkerType_uniform)\n    uniform float uMarker;\n#elif defined(dMarkerType_groupInstance)\n    #if __VERSION__ == 100\n        varying float vMarker;\n    #else\n        flat in float vMarker;\n    #endif\n#endif\n\nvarying vec3 vModelPosition;\nvarying vec3 vViewPosition;\n\nuniform vec2 uViewOffset;\n\nuniform float uNear;\nuniform float uFar;\nuniform float uIsOrtho;\n\nuniform float uFogNear;\nuniform float uFogFar;\nuniform vec3 uFogColor;\n\nuniform float uAlpha;\nuniform float uPickingAlphaThreshold;\nuniform bool uTransparentBackground;\n\nuniform float uInteriorDarkening;\nuniform bool uInteriorColorFlag;\nuniform vec3 uInteriorColor;\nbool interior;\n\nuniform float uXrayEdgeFalloff;\n\nuniform mat4 uProjection;\n\nuniform bool uRenderWboit;\nuniform bool uMarkingDepthTest;\n\nuniform sampler2D tDepth;\nuniform vec2 uDrawingBufferSize;\n\nfloat getDepth(const in vec2 coords) {\n    // always packed due to merged depth from primitives and volumes\n    return unpackRGBAToDepth(texture2D(tDepth, coords));\n}\n\nfloat calcDepth(const in vec3 pos) {\n    vec2 clipZW = pos.z * uProjection[2].zw + uProjection[3].zw;\n    return 0.5 + 0.5 * clipZW.x / clipZW.y;\n}\n\n// "Bump Mapping Unparametrized Surfaces on the GPU" Morten S. Mikkelsen\n// https://mmikk.github.io/papers3d/mm_sfgrad_bump.pdf\nvec3 perturbNormal(in vec3 position, in vec3 normal, in float height, in float scale) {\n    vec3 sigmaS = dFdx(position);\n    vec3 sigmaT = dFdy(position);\n\n    vec3 r1 = cross(sigmaT, normal);\n    vec3 r2 = cross(normal, sigmaS);\n    float det = dot(sigmaS, r1);\n\n    float bs = dFdx(height);\n    float bt = dFdy(height);\n\n    vec3 surfGrad = sign(det) * (bs * r1 + bt * r2);\n    return normalize(abs(det) * normal - scale * surfGrad);\n}\n\nfloat hash(in float h) {\n    return fract(sin(h) * 43758.5453123);\n}\n\nfloat noise(in vec3 x) {\n    vec3 p = floor(x);\n    vec3 f = fract(x);\n    f = f * f * (3.0 - 2.0 * f);\n\n    float n = p.x + p.y * 157.0 + 113.0 * p.z;\n    return mix(\n        mix(mix(hash(n + 0.0), hash(n + 1.0), f.x),\n            mix(hash(n + 157.0), hash(n + 158.0), f.x), f.y),\n        mix(mix(hash(n + 113.0), hash(n + 114.0), f.x),\n            mix(hash(n + 270.0), hash(n + 271.0), f.x), f.y), f.z);\n}\n\nfloat fbm(in vec3 p) {\n    float f = 0.0;\n    f += 0.5 * noise(p);\n    p *= 2.01;\n    f += 0.25 * noise(p);\n    p *= 2.02;\n    f += 0.125 * noise(p);\n\n    return f;\n}\n',common_vert_params:"\nuniform mat4 uProjection, uModel, uView;\nuniform vec3 uCameraPosition;\n\nuniform int uObjectId;\nuniform int uVertexCount;\nuniform int uInstanceCount;\nuniform int uGroupCount;\nuniform vec4 uInvariantBoundingSphere;\n\n#if dClipObjectCount != 0\n    uniform int uClipObjectType[dClipObjectCount];\n    uniform bool uClipObjectInvert[dClipObjectCount];\n    uniform vec3 uClipObjectPosition[dClipObjectCount];\n    uniform vec4 uClipObjectRotation[dClipObjectCount];\n    uniform vec3 uClipObjectScale[dClipObjectCount];\n\n    #if defined(dClipping)\n        uniform vec2 uClippingTexDim;\n        uniform sampler2D tClipping;\n        #if __VERSION__ == 100\n            varying float vClipping;\n        #else\n            flat out float vClipping;\n        #endif\n    #endif\n#endif\n\n#if defined(dMarkerType_uniform)\n    uniform float uMarker;\n#elif defined(dMarkerType_groupInstance)\n    uniform vec2 uMarkerTexDim;\n    uniform sampler2D tMarker;\n    #if __VERSION__ == 100\n        varying float vMarker;\n    #else\n        flat out float vMarker;\n    #endif\n#endif\n\nvarying vec3 vModelPosition;\nvarying vec3 vViewPosition;\n\n#if __VERSION__ == 100\n    attribute float aVertex;\n    #define VertexID int(aVertex)\n#else\n    // not using gl_VertexID but aVertex to ensure there is an active attribute with divisor 0\n    // since FF 85 this is not needed anymore but lets keep it for backwards compatibility\n    // https://bugzilla.mozilla.org/show_bug.cgi?id=1679693\n    // see also note in src/mol-gl/webgl/render-item.ts\n    attribute float aVertex;\n    #define VertexID int(aVertex)\n    // #define VertexID gl_VertexID\n#endif\n",common:"\n// TODO find a better place for these convenience defines\n\n#if defined(dRenderVariant_colorBlended) || defined(dRenderVariant_colorWboit)\n    #define dRenderVariant_color\n#endif\n\n#if defined(dRenderVariant_pickObject) || defined(dRenderVariant_pickInstance) || defined(dRenderVariant_pickGroup)\n    #define dRenderVariant_pick\n#endif\n\n#if defined(dRenderVariant_markingDepth) || defined(dRenderVariant_markingMask)\n    #define dRenderVariant_marking\n#endif\n\n#if defined(dColorType_instance) || defined(dColorType_group) || defined(dColorType_groupInstance) || defined(dColorType_vertex) || defined(dColorType_vertexInstance)\n    #define dColorType_texture\n#endif\n\n#if defined(dColorType_volume) || defined(dColorType_volumeInstance)\n    #define dColorType_grid\n#endif\n\n#if defined(dColorType_attribute) || defined(dColorType_texture) || defined(dColorType_grid)\n    #define dColorType_varying\n#endif\n\n//\n\n#define PI 3.14159265\n#define RECIPROCAL_PI 0.31830988618\n#define EPSILON 1e-6\n\n#define saturate(a) clamp(a, 0.0, 1.0)\n\nfloat intDiv(const in float a, const in float b) { return float(int(a) / int(b)); }\nvec2 ivec2Div(const in vec2 a, const in vec2 b) { return vec2(ivec2(a) / ivec2(b)); }\nfloat intMod(const in float a, const in float b) { return a - b * float(int(a) / int(b)); }\nint imod(const in int a, const in int b) { return a - b * (a / b); }\n\nfloat pow2(const in float x) { return x * x; }\n\nconst float maxFloat = 10000.0; // NOTE constant also set in TypeScript\nconst float floatLogFactor = 9.210440366976517; // log(maxFloat + 1.0);\nfloat encodeFloatLog(const in float value) { return log(value + 1.0) / floatLogFactor; }\nfloat decodeFloatLog(const in float value) { return exp(value * floatLogFactor) - 1.0; }\n\nvec3 encodeFloatRGB(in float value) {\n    value = clamp(value, 0.0, 16777216.0 - 1.0) + 1.0;\n    vec3 c = vec3(0.0);\n    c.b = mod(value, 256.0);\n    value = floor(value / 256.0);\n    c.g = mod(value, 256.0);\n    value = floor(value / 256.0);\n    c.r = mod(value, 256.0);\n    return c / 255.0;\n}\nfloat decodeFloatRGB(const in vec3 rgb) {\n    return (rgb.r * 256.0 * 256.0 * 255.0 + rgb.g * 256.0 * 255.0 + rgb.b * 255.0) - 1.0;\n}\n\nvec2 packUnitIntervalToRG(const in float v) {\n    vec2 enc;\n    enc.xy = vec2(fract(v * 256.0), v);\n    enc.y -= enc.x * (1.0 / 256.0);\n    enc.xy *=  256.0 / 255.0;\n\n    return enc;\n}\n\nfloat unpackRGToUnitInterval(const in vec2 enc) {\n    return dot(enc, vec2(255.0 / (256.0 * 256.0), 255.0 / 256.0));\n}\n\nvec3 screenSpaceToViewSpace(const in vec3 ssPos, const in mat4 invProjection) {\n    vec4 p = vec4(ssPos * 2.0 - 1.0, 1.0);\n    p = invProjection * p;\n    return p.xyz / p.w;\n}\n\nconst float PackUpscale = 256.0 / 255.0; // fraction -> 0..1 (including 1)\nconst float UnpackDownscale = 255.0 / 256.0; // 0..1 -> fraction (excluding 1)\nconst vec3 PackFactors = vec3(256.0 * 256.0 * 256.0, 256.0 * 256.0,  256.0);\nconst vec4 UnpackFactors = UnpackDownscale / vec4(PackFactors, 1.0);\nconst float ShiftRight8 = 1.0 / 256.0;\n\nvec4 packDepthToRGBA(const in float v) {\n    vec4 r = vec4(fract(v * PackFactors), v);\n    r.yzw -= r.xyz * ShiftRight8; // tidy overflow\n    return r * PackUpscale;\n}\nfloat unpackRGBAToDepth(const in vec4 v) {\n    return dot(v, UnpackFactors);\n}\n\nvec4 sRGBToLinear(const in vec4 c) {\n    return vec4(mix(pow(c.rgb * 0.9478672986 + vec3(0.0521327014), vec3(2.4)), c.rgb * 0.0773993808, vec3(lessThanEqual(c.rgb, vec3(0.04045)))), c.a);\n}\nvec4 linearTosRGB(const in vec4 c) {\n    return vec4(mix(pow(c.rgb, vec3(0.41666)) * 1.055 - vec3(0.055), c.rgb * 12.92, vec3(lessThanEqual(c.rgb, vec3(0.0031308)))), c.a);\n}\n\nfloat linearizeDepth(const in float depth, const in float near, const in float far) {\n    return (2.0 * near) / (far + near - depth * (far - near));\n}\n\nfloat perspectiveDepthToViewZ(const in float invClipZ, const in float near, const in float far) {\n    return (near * far) / ((far - near) * invClipZ - far);\n}\n\nfloat orthographicDepthToViewZ(const in float linearClipZ, const in float near, const in float far) {\n    return linearClipZ * (near - far) - near;\n}\n\nfloat depthToViewZ(const in float isOrtho, const in float linearClipZ, const in float near, const in float far) {\n    return isOrtho == 1.0 ? orthographicDepthToViewZ(linearClipZ, near, far) : perspectiveDepthToViewZ(linearClipZ, near, far);\n}\n\n#if __VERSION__ == 100\n    // transpose\n\n    float transpose(const in float m) {\n        return m;\n    }\n\n    mat2 transpose2(const in mat2 m) {\n        return mat2(\n            m[0][0], m[1][0],\n            m[0][1], m[1][1]\n        );\n    }\n\n    mat3 transpose3(const in mat3 m) {\n        return mat3(\n            m[0][0], m[1][0], m[2][0],\n            m[0][1], m[1][1], m[2][1],\n            m[0][2], m[1][2], m[2][2]\n        );\n    }\n\n    mat4 transpose4(const in mat4 m) {\n        return mat4(\n            m[0][0], m[1][0], m[2][0], m[3][0],\n            m[0][1], m[1][1], m[2][1], m[3][1],\n            m[0][2], m[1][2], m[2][2], m[3][2],\n            m[0][3], m[1][3], m[2][3], m[3][3]\n        );\n    }\n\n    // inverse\n\n    float inverse(const in float m) {\n        return 1.0 / m;\n    }\n\n    mat2 inverse2(const in mat2 m) {\n        return mat2(m[1][1],-m[0][1],\n                -m[1][0], m[0][0]) / (m[0][0]*m[1][1] - m[0][1]*m[1][0]);\n    }\n\n    mat3 inverse3(const in mat3 m) {\n        float a00 = m[0][0], a01 = m[0][1], a02 = m[0][2];\n        float a10 = m[1][0], a11 = m[1][1], a12 = m[1][2];\n        float a20 = m[2][0], a21 = m[2][1], a22 = m[2][2];\n\n        float b01 = a22 * a11 - a12 * a21;\n        float b11 = -a22 * a10 + a12 * a20;\n        float b21 = a21 * a10 - a11 * a20;\n\n        float det = a00 * b01 + a01 * b11 + a02 * b21;\n\n        return mat3(b01, (-a22 * a01 + a02 * a21), (a12 * a01 - a02 * a11),\n                    b11, (a22 * a00 - a02 * a20), (-a12 * a00 + a02 * a10),\n                    b21, (-a21 * a00 + a01 * a20), (a11 * a00 - a01 * a10)) / det;\n    }\n\n    mat4 inverse4(const in mat4 m) {\n        float\n            a00 = m[0][0], a01 = m[0][1], a02 = m[0][2], a03 = m[0][3],\n            a10 = m[1][0], a11 = m[1][1], a12 = m[1][2], a13 = m[1][3],\n            a20 = m[2][0], a21 = m[2][1], a22 = m[2][2], a23 = m[2][3],\n            a30 = m[3][0], a31 = m[3][1], a32 = m[3][2], a33 = m[3][3],\n\n            b00 = a00 * a11 - a01 * a10,\n            b01 = a00 * a12 - a02 * a10,\n            b02 = a00 * a13 - a03 * a10,\n            b03 = a01 * a12 - a02 * a11,\n            b04 = a01 * a13 - a03 * a11,\n            b05 = a02 * a13 - a03 * a12,\n            b06 = a20 * a31 - a21 * a30,\n            b07 = a20 * a32 - a22 * a30,\n            b08 = a20 * a33 - a23 * a30,\n            b09 = a21 * a32 - a22 * a31,\n            b10 = a21 * a33 - a23 * a31,\n            b11 = a22 * a33 - a23 * a32,\n\n            det = b00 * b11 - b01 * b10 + b02 * b09 + b03 * b08 - b04 * b07 + b05 * b06;\n\n        return mat4(\n            a11 * b11 - a12 * b10 + a13 * b09,\n            a02 * b10 - a01 * b11 - a03 * b09,\n            a31 * b05 - a32 * b04 + a33 * b03,\n            a22 * b04 - a21 * b05 - a23 * b03,\n            a12 * b08 - a10 * b11 - a13 * b07,\n            a00 * b11 - a02 * b08 + a03 * b07,\n            a32 * b02 - a30 * b05 - a33 * b01,\n            a20 * b05 - a22 * b02 + a23 * b01,\n            a10 * b10 - a11 * b08 + a13 * b06,\n            a01 * b08 - a00 * b10 - a03 * b06,\n            a30 * b04 - a31 * b02 + a33 * b00,\n            a21 * b02 - a20 * b04 - a23 * b00,\n            a11 * b07 - a10 * b09 - a12 * b06,\n            a00 * b09 - a01 * b07 + a02 * b06,\n            a31 * b01 - a30 * b03 - a32 * b00,\n            a20 * b03 - a21 * b01 + a22 * b00) / det;\n    }\n\n    #define isNaN(x) ( (x) != (x)    )\n    #define isInf(x) ( (x) == (x)+1. )\n#else\n    #define transpose2(m) transpose(m)\n    #define transpose3(m) transpose(m)\n    #define transpose4(m) transpose(m)\n\n    #define inverse2(m) inverse(m)\n    #define inverse3(m) inverse(m)\n    #define inverse4(m) inverse(m)\n\n    #define isNaN isnan\n    #define isInf isinf\n#endif\n",float_to_rgba:"\n    // floatToRgba adapted from https://github.com/equinor/glsl-float-to-rgba\n    // MIT License, Copyright (c) 2020 Equinor\n\n    float shiftRight (float v, float amt) {\n    v = floor(v) + 0.5;\n    return floor(v / exp2(amt));\n    }\n    float shiftLeft (float v, float amt) {\n        return floor(v * exp2(amt) + 0.5);\n    }\n    float maskLast (float v, float bits) {\n        return mod(v, shiftLeft(1.0, bits));\n    }\n    float extractBits (float num, float from, float to) {\n        from = floor(from + 0.5); to = floor(to + 0.5);\n        return maskLast(shiftRight(num, from), to - from);\n    }\n\n    vec4 floatToRgba(float texelFloat, bool littleEndian) {\n        if (texelFloat == 0.0) return vec4(0.0, 0.0, 0.0, 0.0);\n        float sign = texelFloat > 0.0 ? 0.0 : 1.0;\n        texelFloat = abs(texelFloat);\n        float exponent = floor(log2(texelFloat));\n        float biased_exponent = exponent + 127.0;\n        float fraction = ((texelFloat / exp2(exponent)) - 1.0) * 8388608.0;\n        float t = biased_exponent / 2.0;\n        float last_bit_of_biased_exponent = fract(t) * 2.0;\n        float remaining_bits_of_biased_exponent = floor(t);\n        float byte4 = extractBits(fraction, 0.0, 8.0) / 255.0;\n        float byte3 = extractBits(fraction, 8.0, 16.0) / 255.0;\n        float byte2 = (last_bit_of_biased_exponent * 128.0 + extractBits(fraction, 16.0, 23.0)) / 255.0;\n        float byte1 = (sign * 128.0 + remaining_bits_of_biased_exponent) / 255.0;\n        return (\n            littleEndian\n                ? vec4(byte4, byte3, byte2, byte1)\n                : vec4(byte1, byte2, byte3, byte4)\n        );\n    }\n",light_frag_params:"\n#if dLightCount != 0\n    uniform vec3 uLightDirection[dLightCount];\n    uniform vec3 uLightColor[dLightCount];\n#endif\nuniform vec3 uAmbientColor;\n\nstruct PhysicalMaterial {\n    vec3 diffuseColor;\n    float roughness;\n    vec3 specularColor;\n    float specularF90;\n};\n\nstruct IncidentLight {\n    vec3 color;\n    vec3 direction;\n};\n\nstruct ReflectedLight {\n    vec3 directDiffuse;\n    vec3 directSpecular;\n    vec3 indirectDiffuse;\n    vec3 indirectSpecular;\n};\n\nstruct GeometricContext {\n    vec3 position;\n    vec3 normal;\n    vec3 viewDir;\n};\n\nvec3 BRDF_Lambert(const in vec3 diffuseColor) {\n    return RECIPROCAL_PI * diffuseColor;\n}\n\nvec3 F_Schlick(const in vec3 f0, const in float f90, const in float dotVH) {\n    // Original approximation by Christophe Schlick '94\n    // float fresnel = pow( 1.0 - dotVH, 5.0 );\n    // Optimized variant (presented by Epic at SIGGRAPH '13)\n    // https://cdn2.unrealengine.com/Resources/files/2013SiggraphPresentationsNotes-26915738.pdf\n    float fresnel = exp2((-5.55473 * dotVH - 6.98316) * dotVH);\n    return f0 * (1.0 - fresnel) + (f90 * fresnel);\n}\n\n// Moving Frostbite to Physically Based Rendering 3.0 - page 12, listing 2\n// https://seblagarde.files.wordpress.com/2015/07/course_notes_moving_frostbite_to_pbr_v32.pdf\nfloat V_GGX_SmithCorrelated(const in float alpha, const in float dotNL, const in float dotNV) {\n    float a2 = pow2(alpha);\n    float gv = dotNL * sqrt(a2 + (1.0 - a2) * pow2(dotNV));\n    float gl = dotNV * sqrt(a2 + (1.0 - a2) * pow2(dotNL));\n    return 0.5 / max(gv + gl, EPSILON);\n}\n\n// Microfacet Models for Refraction through Rough Surfaces - equation (33)\n// http://graphicrants.blogspot.com/2013/08/specular-brdf-reference.html\n// alpha is \"roughness squared\" in Disney’s reparameterization\nfloat D_GGX(const in float alpha, const in float dotNH) {\n    float a2 = pow2(alpha);\n    float denom = pow2(dotNH) * (a2 - 1.0) + 1.0; // avoid alpha = 0 with dotNH = 1\n    return RECIPROCAL_PI * a2 / pow2(denom);\n}\n\n// GGX Distribution, Schlick Fresnel, GGX_SmithCorrelated Visibility\nvec3 BRDF_GGX(const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 f0, const in float f90, const in float roughness) {\n    float alpha = pow2(roughness); // UE4's roughness\n    vec3 halfDir = normalize( lightDir + viewDir);\n    float dotNL = saturate(dot(normal, lightDir));\n    float dotNV = saturate(dot(normal, viewDir));\n    float dotNH = saturate(dot(normal, halfDir));\n    float dotVH = saturate(dot(viewDir, halfDir));\n    vec3 F = F_Schlick(f0, f90, dotVH);\n    float V = V_GGX_SmithCorrelated(alpha, dotNL, dotNV);\n    float D = D_GGX(alpha, dotNH);\n    return F * (V * D);\n}\n\n// Analytical approximation of the DFG LUT, one half of the\n// split-sum approximation used in indirect specular lighting.\n// via 'environmentBRDF' from \"Physically Based Shading on Mobile\"\n// https://www.unrealengine.com/blog/physically-based-shading-on-mobile\nvec2 DFGApprox(const in vec3 normal, const in vec3 viewDir, const in float roughness) {\n    float dotNV = saturate(dot(normal, viewDir));\n    const vec4 c0 = vec4(-1, -0.0275, -0.572, 0.022);\n    const vec4 c1 = vec4(1, 0.0425, 1.04, -0.04);\n    vec4 r = roughness * c0 + c1;\n    float a004 = min(r.x * r.x, exp2(-9.28 * dotNV)) * r.x + r.y;\n    vec2 fab = vec2(-1.04, 1.04) * a004 + r.zw;\n    return fab;\n}\n\n// Fdez-Agüera's \"Multiple-Scattering Microfacet Model for Real-Time Image Based Lighting\"\n// Approximates multiscattering in order to preserve energy.\n// http://www.jcgt.org/published/0008/01/03/\nvoid computeMultiscattering(const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter) {\n    vec2 fab = DFGApprox(normal, viewDir, roughness);\n    vec3 FssEss = specularColor * fab.x + specularF90 * fab.y;\n    float Ess = fab.x + fab.y;\n    float Ems = 1.0 - Ess;\n    vec3 Favg = specularColor + (1.0 - specularColor) * 0.047619; // 1/21\n    vec3 Fms = FssEss * Favg / (1.0 - Ems * Favg);\n    singleScatter += FssEss;\n    multiScatter += Fms * Ems;\n}\n\nvoid RE_Direct_Physical(const in IncidentLight directLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\n    float dotNL = saturate(dot(geometry.normal, directLight.direction));\n    vec3 irradiance = dotNL * directLight.color;\n    reflectedLight.directSpecular += irradiance * BRDF_GGX(directLight.direction, geometry.viewDir, geometry.normal, material.specularColor, material.specularF90, material.roughness);\n    reflectedLight.directDiffuse += irradiance * BRDF_Lambert(material.diffuseColor);\n}\n\nvoid RE_IndirectDiffuse_Physical(const in vec3 irradiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\n    reflectedLight.indirectDiffuse += irradiance * BRDF_Lambert(material.diffuseColor);\n}\n\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\n    // Both indirect specular and indirect diffuse light accumulate here\n    vec3 singleScattering = vec3(0.0);\n    vec3 multiScattering = vec3(0.0);\n    vec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;\n    computeMultiscattering(geometry.normal, geometry.viewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering);\n    vec3 diffuse = material.diffuseColor * (1.0 - ( singleScattering + multiScattering));\n    reflectedLight.indirectSpecular += radiance * singleScattering;\n    reflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;\n    reflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;\n}\n",matrix_scale:"\nfloat matrixScale(in mat4 m){\n    vec4 r = m[0];\n    return sqrt(r[0] * r[0] + r[1] * r[1] + r[2] * r[2]);\n}\n",normal_frag_params:"\nvarying vec3 vNormal;\n",read_from_texture:"\nvec4 readFromTexture(const in sampler2D tex, const in float i, const in vec2 dim) {\n    float x = intMod(i, dim.x);\n    float y = floor(intDiv(i, dim.x));\n    vec2 uv = (vec2(x, y) + 0.5) / dim;\n    return texture2D(tex, uv);\n}\n\nvec4 readFromTexture(const in sampler2D tex, const in int i, const in vec2 dim) {\n    int x = imod(i, int(dim.x));\n    int y = i / int(dim.x);\n    vec2 uv = (vec2(x, y) + 0.5) / dim;\n    return texture2D(tex, uv);\n}\n",rgba_to_float:'\n    // rgbaToFloat adapted from https://github.com/ihmeuw/glsl-rgba-to-float\n    // BSD 3-Clause License\n    //\n    // Copyright (c) 2019, Institute for Health Metrics and Evaluation All rights reserved.\n    // Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:\n    //  - Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.\n    //  - Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.\n    //  - Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.\n    //\n    // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,\n    // INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.\n    // IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,\n    // OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,\n    // OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\n    // OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED\n    // OF THE POSSIBILITY OF SUCH DAMAGE.\n\n    ivec4 floatsToBytes(vec4 inputFloats, bool littleEndian) {\n        ivec4 bytes = ivec4(inputFloats * 255.0);\n        return (\n            littleEndian\n                ? bytes.abgr\n                : bytes\n        );\n    }\n\n    // Break the four bytes down into an array of 32 bits.\n    void bytesToBits(const in ivec4 bytes, out bool bits[32]) {\n        for (int channelIndex = 0; channelIndex < 4; ++channelIndex) {\n            float acc = float(bytes[channelIndex]);\n            for (int indexInByte = 7; indexInByte >= 0; --indexInByte) {\n                float powerOfTwo = exp2(float(indexInByte));\n                bool bit = acc >= powerOfTwo;\n                bits[channelIndex * 8 + (7 - indexInByte)] = bit;\n                acc = mod(acc, powerOfTwo);\n            }\n        }\n    }\n\n    // Compute the exponent of the 32-bit float.\n    float getExponent(bool bits[32]) {\n        const int startIndex = 1;\n        const int bitStringLength = 8;\n        const int endBeforeIndex = startIndex + bitStringLength;\n        float acc = 0.0;\n        int pow2 = bitStringLength - 1;\n        for (int bitIndex = startIndex; bitIndex < endBeforeIndex; ++bitIndex) {\n            acc += float(bits[bitIndex]) * exp2(float(pow2--));\n        }\n        return acc;\n    }\n\n    // Compute the mantissa of the 32-bit float.\n    float getMantissa(bool bits[32], bool subnormal) {\n        const int startIndex = 9;\n        const int bitStringLength = 23;\n        const int endBeforeIndex = startIndex + bitStringLength;\n        // Leading/implicit/hidden bit convention:\n        // If the number is not subnormal (with exponent 0), we add a leading 1 digit.\n        float acc = float(!subnormal) * exp2(float(bitStringLength));\n        int pow2 = bitStringLength - 1;\n        for (int bitIndex = startIndex; bitIndex < endBeforeIndex; ++bitIndex) {\n            acc += float(bits[bitIndex]) * exp2(float(pow2--));\n        }\n        return acc;\n    }\n\n    // Parse the float from its 32 bits.\n    float bitsToFloat(bool bits[32]) {\n        float signBit = float(bits[0]) * -2.0 + 1.0;\n        float exponent = getExponent(bits);\n        bool subnormal = abs(exponent - 0.0) < 0.01;\n        float mantissa = getMantissa(bits, subnormal);\n        float exponentBias = 127.0;\n        return signBit * mantissa * exp2(exponent - exponentBias - 23.0);\n    }\n\n    float rgbaToFloat(vec4 texelRGBA, bool littleEndian) {\n        ivec4 rgbaBytes = floatsToBytes(texelRGBA, littleEndian);\n        bool bits[32];\n        bytesToBits(rgbaBytes, bits);\n        return bitsToFloat(bits);\n    }\n',size_vert_params:"\n#if defined(dSizeType_uniform)\n    uniform float uSize;\n#elif defined(dSizeType_attribute)\n    attribute float aSize;\n#elif defined(dSizeType_instance) || defined(dSizeType_group) || defined(dSizeType_groupInstance)\n    uniform vec2 uSizeTexDim;\n    uniform sampler2D tSize;\n#endif\n\nuniform float uSizeFactor;\n",texture3d_from_1d_trilinear:"\nvec4 texture3dFrom1dTrilinear(const in sampler2D tex, const in vec3 pos, const in vec3 gridDim, const in vec2 texDim, const in float offset) {\n    float gdYZ = gridDim.z * gridDim.y;\n    float gdZ = gridDim.z;\n    vec3 p0 = floor(pos * gridDim);\n    vec3 p1 = ceil(pos * gridDim);\n    vec3 pd = (pos * gridDim - p0) / (p1 - p0);\n    vec4 s000 = readFromTexture(tex, offset + p0.z + p0.y * gdZ + p0.x * gdYZ, texDim);\n    vec4 s100 = readFromTexture(tex, offset + p0.z + p0.y * gdZ + p1.x * gdYZ, texDim);\n    vec4 s001 = readFromTexture(tex, offset + p1.z + p0.y * gdZ + p0.x * gdYZ, texDim);\n    vec4 s101 = readFromTexture(tex, offset + p1.z + p0.y * gdZ + p1.x * gdYZ, texDim);\n    vec4 s010 = readFromTexture(tex, offset + p0.z + p1.y * gdZ + p0.x * gdYZ, texDim);\n    vec4 s110 = readFromTexture(tex, offset + p0.z + p1.y * gdZ + p1.x * gdYZ, texDim);\n    vec4 s011 = readFromTexture(tex, offset + p1.z + p1.y * gdZ + p0.x * gdYZ, texDim);\n    vec4 s111 = readFromTexture(tex, offset + p1.z + p1.y * gdZ + p1.x * gdYZ, texDim);\n    vec4 s00 = mix(s000, s100, pd.x);\n    vec4 s01 = mix(s001, s101, pd.x);\n    vec4 s10 = mix(s010, s110, pd.x);\n    vec4 s11 = mix(s011, s111, pd.x);\n    vec4 s0 = mix(s00, s10, pd.y);\n    vec4 s1 = mix(s01, s11, pd.y);\n    return mix(s0, s1, pd.z);\n}\n",texture3d_from_2d_linear:"\nvec4 texture3dFrom2dLinear(sampler2D tex, vec3 pos, vec3 gridDim, vec2 texDim) {\n    float zSlice0 = floor(pos.z * gridDim.z);\n    float column0 = intMod(zSlice0 * gridDim.x, texDim.x) / gridDim.x;\n    float row0 = floor(intDiv(zSlice0 * gridDim.x, texDim.x));\n    vec2 coord0 = (vec2(column0 * gridDim.x, row0 * gridDim.y) + (pos.xy * gridDim.xy)) / texDim;\n    vec4 color0 = texture2D(tex, coord0);\n\n    float zSlice1 = zSlice0 + 1.0;\n    float column1 = intMod(zSlice1 * gridDim.x, texDim.x) / gridDim.x;\n    float row1 = floor(intDiv(zSlice1 * gridDim.x, texDim.x));\n    vec2 coord1 = (vec2(column1 * gridDim.x, row1 * gridDim.y) + (pos.xy * gridDim.xy)) / texDim;\n    vec4 color1 = texture2D(tex, coord1);\n\n    float delta0 = abs((pos.z * gridDim.z) - zSlice0);\n    return mix(color0, color1, delta0);\n}\n",texture3d_from_2d_nearest:"\nvec4 texture3dFrom2dNearest(sampler2D tex, vec3 pos, vec3 gridDim, vec2 texDim) {\n    float zSlice = floor(pos.z * gridDim.z + 0.5); // round to nearest z-slice\n    float column = intMod(zSlice * gridDim.x, texDim.x) / gridDim.x;\n    float row = floor(intDiv(zSlice * gridDim.x, texDim.x));\n    vec2 coord = (vec2(column * gridDim.x, row * gridDim.y) + (pos.xy * gridDim.xy)) / texDim;\n    return texture2D(tex, coord);\n}\n",wboit_write:"\n#if defined(dRenderVariant_colorWboit)\n    if (!uRenderWboit) {\n        if (preFogAlpha < 1.0) {\n            discard;\n        }\n    } else if (uRenderWboit) {\n        // the 'fragmentDepth > 0.99' check is to handle precision issues with packed depth\n        if (preFogAlpha != 1.0 && !interior && (fragmentDepth < getDepth(gl_FragCoord.xy / uDrawingBufferSize) || fragmentDepth > 0.99)) {\n            float alpha = gl_FragColor.a;\n            float wboitWeight = alpha * clamp(pow(1.0 - fragmentDepth, 2.0), 0.01, 1.0);\n            gl_FragColor = vec4(gl_FragColor.rgb * alpha * wboitWeight, alpha);\n            // extra alpha is to handle pre-multiplied alpha\n            #if !defined(dRenderMode_volume) && !defined(dRenderMode_isosurface)\n                gl_FragData[1] = vec4((uTransparentBackground ? alpha : 1.0) * alpha * wboitWeight);\n            #else\n                gl_FragData[1] = vec4(alpha * alpha * wboitWeight);\n            #endif\n        } else {\n            discard;\n        }\n    }\n#endif\n"},Rp=/^(?!\/\/)\s*#include\s+(\S+)/gm,Hp=/#pragma unroll_loop_start\s+for\s*\(\s*int\s+i\s*=\s*(\d+)\s*;\s*i\s*<\s*(\d+)\s*;\s*\+\+i\s*\s*\)\s*{([\s\S]+?)}\s+#pragma unroll_loop_end/g,Gp=/[ \t]*\/\/.*\n/g,Mp=/[ \t]*\/\*[\s\S]*?\*\//g,Lp=/\n{2,}/g;function xp(A){return A.replace(Rp,(function(A,e){var t=Np[e];if(!t)throw new Error("empty chunk, '".concat(e,"'"));return t})).trim().replace(Gp,"\n").replace(Mp,"\n").replace(Lp,"\n")}function kp(A,e,t,r){for(var n="",i=parseInt(e);i<parseInt(t);++i)n+=r.replace(/\[\s*i\s*\]/g,"[".concat(i,"]")).replace(/UNROLLED_LOOP_INDEX/g,"".concat(i));return n}function Yp(A,e){return function(A){return A.replace(Hp,kp)}(function(A,e){return e.dLightCount&&(A=A.replace(/dLightCount/g,"".concat(e.dLightCount.ref.value))),e.dClipObjectCount&&(A=A.replace(/dClipObjectCount/g,"".concat(e.dClipObjectCount.ref.value))),A}(A,e))}function _p(A,e,t,r,n){return void 0===r&&(r={}),void 0===n&&(n={}),{id:Sp(),name:A,vert:xp(e),frag:xp(t),extensions:r,outTypes:n}}var Vp=_p("points","\nprecision highp float;\nprecision highp int;\n\n#include common\n#include read_from_texture\n#include common_vert_params\n#include color_vert_params\n#include size_vert_params\n#include common_clip\n\nuniform float uPixelRatio;\nuniform vec4 uViewport;\n\nattribute vec3 aPosition;\nattribute mat4 aTransform;\nattribute float aInstance;\nattribute float aGroup;\n\nvoid main(){\n    #include assign_group\n    #include assign_color_varying\n    #include assign_marker_varying\n    #include assign_clipping_varying\n    #include assign_position\n    #include assign_size\n\n    #ifdef dPointSizeAttenuation\n        gl_PointSize = size * uPixelRatio * ((uViewport.w / 2.0) / -mvPosition.z) * 5.0;\n    #else\n        gl_PointSize = size * uPixelRatio;\n    #endif\n    gl_PointSize = max(1.0, gl_PointSize);\n\n    gl_Position = uProjection * mvPosition;\n\n    #include clip_instance\n}\n","\nprecision highp float;\nprecision highp int;\n\n#include common\n#include common_frag_params\n#include color_frag_params\n#include common_clip\n\nconst vec2 center = vec2(0.5);\nconst float radius = 0.5;\n\nvoid main(){\n    #include clip_pixel\n\n    float fragmentDepth = gl_FragCoord.z;\n    bool interior = false;\n    #include assign_material_color\n\n    #if defined(dPointStyle_circle)\n        float dist = distance(gl_PointCoord, center);\n        if (dist > radius) discard;\n    #elif defined(dPointStyle_fuzzy)\n        float dist = distance(gl_PointCoord, center);\n        float fuzzyAlpha = 1.0 - smoothstep(0.0, radius, dist);\n        if (fuzzyAlpha < 0.0001) discard;\n    #endif\n\n    #if defined(dRenderVariant_pick)\n        #include check_picking_alpha\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_depth)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_marking)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_color)\n        gl_FragColor = material;\n\n        #if defined(dPointStyle_fuzzy)\n            gl_FragColor.a *= fuzzyAlpha;\n        #endif\n\n        #include apply_marker_color\n        #include apply_fog\n        #include wboit_write\n    #endif\n}\n",{drawBuffers:"optional"}),Tp=_p("spheres",'\nprecision highp float;\nprecision highp int;\n\n#include common\n#include read_from_texture\n#include common_vert_params\n#include color_vert_params\n#include size_vert_params\n#include common_clip\n\nuniform mat4 uModelView;\nuniform mat4 uInvProjection;\n\nattribute vec3 aPosition;\nattribute vec2 aMapping;\nattribute mat4 aTransform;\nattribute float aInstance;\nattribute float aGroup;\n\nvarying float vRadius;\nvarying float vRadiusSq;\nvarying vec3 vPoint;\nvarying vec3 vPointViewPosition;\n\n#include matrix_scale\n\nconst mat4 D = mat4(\n    1.0, 0.0, 0.0, 0.0,\n    0.0, 1.0, 0.0, 0.0,\n    0.0, 0.0, 1.0, 0.0,\n    0.0, 0.0, 0.0, -1.0\n);\n\n/**\n * Compute point size and center using the technique described in:\n * "GPU-Based Ray-Casting of Quadratic Surfaces" http://dl.acm.org/citation.cfm?id=2386396\n * by Christian Sigg, Tim Weyrich, Mario Botsch, Markus Gross.\n */\nvoid quadraticProjection(const in float radius, const in vec3 position){\n    vec2 xbc, ybc;\n\n    mat4 T = mat4(\n        radius, 0.0, 0.0, 0.0,\n        0.0, radius, 0.0, 0.0,\n        0.0, 0.0, radius, 0.0,\n        position.x, position.y, position.z, 1.0\n    );\n\n    mat4 R = transpose4(uProjection * uModelView * aTransform * T);\n    float A = dot(R[3], D * R[3]);\n    float B = -2.0 * dot(R[0], D * R[3]);\n    float C = dot(R[0], D * R[0]);\n    xbc[0] = (-B - sqrt(B * B - 4.0 * A * C)) / (2.0 * A);\n    xbc[1] = (-B + sqrt(B * B - 4.0 * A * C)) / (2.0 * A);\n    float sx = abs(xbc[0] - xbc[1]) * 0.5;\n\n    A = dot(R[3], D * R[3]);\n    B = -2.0 * dot(R[1], D * R[3]);\n    C = dot(R[1], D * R[1]);\n    ybc[0] = (-B - sqrt(B * B - 4.0 * A * C)) / (2.0 * A);\n    ybc[1] = (-B + sqrt(B * B - 4.0 * A * C)) / (2.0 * A);\n    float sy = abs(ybc[0] - ybc[1]) * 0.5;\n\n    gl_Position.xy = vec2(0.5 * (xbc.x + xbc.y), 0.5 * (ybc.x + ybc.y));\n    gl_Position.xy -= aMapping * vec2(sx, sy);\n    gl_Position.xy *= gl_Position.w;\n}\n\n\nvoid main(void){\n    #include assign_group\n    #include assign_color_varying\n    #include assign_marker_varying\n    #include assign_clipping_varying\n    #include assign_size\n\n    vRadius = size * matrixScale(uModelView);\n\n    vec4 position4 = vec4(aPosition, 1.0);\n    vec4 mvPosition = uModelView * aTransform * position4;\n    mvPosition.z -= vRadius; // avoid clipping, added again in fragment shader\n\n    gl_Position = uProjection * vec4(mvPosition.xyz, 1.0);\n    quadraticProjection(size, aPosition);\n\n    vRadiusSq = vRadius * vRadius;\n    vec4 vPoint4 = uInvProjection * gl_Position;\n    vPoint = vPoint4.xyz / vPoint4.w;\n    vPointViewPosition = -mvPosition.xyz / mvPosition.w;\n\n    vModelPosition = (uModel * aTransform * position4).xyz; // for clipping in frag shader\n\n    #include clip_instance\n}\n',"\nprecision highp float;\nprecision highp int;\n\n#define bumpEnabled\n\n#include common\n#include common_frag_params\n#include color_frag_params\n#include light_frag_params\n#include common_clip\n\nuniform mat4 uInvView;\n\nvarying float vRadius;\nvarying float vRadiusSq;\nvarying vec3 vPoint;\nvarying vec3 vPointViewPosition;\n\nvec3 cameraPos;\nvec3 cameraNormal;\n\nbool Impostor(out vec3 cameraPos, out vec3 cameraNormal){\n    vec3 cameraSpherePos = -vPointViewPosition;\n    cameraSpherePos.z += vRadius;\n\n    vec3 rayOrigin = mix(vec3(0.0, 0.0, 0.0), vPoint, uIsOrtho);\n    vec3 rayDirection = mix(normalize(vPoint), vec3(0.0, 0.0, 1.0), uIsOrtho);\n    vec3 cameraSphereDir = mix(cameraSpherePos, rayOrigin - cameraSpherePos, uIsOrtho);\n\n    float B = dot(rayDirection, cameraSphereDir);\n    float det = B * B + vRadiusSq - dot(cameraSphereDir, cameraSphereDir);\n\n    if (det < 0.0){\n        discard;\n        return false;\n    }\n\n    float sqrtDet = sqrt(det);\n    float posT = mix(B + sqrtDet, B + sqrtDet, uIsOrtho);\n    float negT = mix(B - sqrtDet, sqrtDet - B, uIsOrtho);\n\n    cameraPos = rayDirection * negT + rayOrigin;\n\n\n    if (calcDepth(cameraPos) <= 0.0) {\n        cameraPos = rayDirection * posT + rayOrigin;\n        interior = true;\n    } else {\n        interior = false;\n    }\n\n    cameraNormal = normalize(cameraPos - cameraSpherePos);\n    cameraNormal *= float(!interior) * 2.0 - 1.0;\n\n    return !interior;\n}\n\nvoid main(void){\n    #include clip_pixel\n\n    bool flag = Impostor(cameraPos, cameraNormal);\n    #ifndef dDoubleSided\n        if (interior)\n            discard;\n    #endif\n\n    vec3 vViewPosition = cameraPos;\n    gl_FragDepthEXT = calcDepth(vViewPosition);\n    if (!flag && gl_FragDepthEXT >= 0.0) {\n        gl_FragDepthEXT = 0.0 + (0.0000001 / vRadius);\n    }\n\n    vec3 vModelPosition = (uInvView * vec4(vViewPosition, 1.0)).xyz;\n\n    if (gl_FragDepthEXT < 0.0) discard;\n    if (gl_FragDepthEXT > 1.0) discard;\n\n    float fragmentDepth = gl_FragDepthEXT;\n    #include assign_material_color\n\n    #if defined(dRenderVariant_pick)\n        #include check_picking_alpha\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_depth)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_marking)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_color)\n        #ifdef dIgnoreLight\n            gl_FragColor = material;\n        #else\n            vec3 normal = -cameraNormal;\n            #include apply_light_color\n        #endif\n\n        #include apply_interior_color\n        #include apply_marker_color\n        #include apply_fog\n        #include wboit_write\n    #endif\n}\n",{fragDepth:"required",drawBuffers:"optional"}),Pp=_p("cylinders","\nprecision highp float;\nprecision highp int;\n\n#include common\n#include read_from_texture\n#include common_vert_params\n#include color_vert_params\n#include size_vert_params\n#include common_clip\n\nuniform mat4 uModelView;\n\nattribute mat4 aTransform;\nattribute float aInstance;\nattribute float aGroup;\n\nattribute vec3 aMapping;\nattribute vec3 aStart;\nattribute vec3 aEnd;\nattribute float aScale;\nattribute float aCap;\n\nvarying mat4 vTransform;\nvarying vec3 vStart;\nvarying vec3 vEnd;\nvarying float vSize;\nvarying float vCap;\n\nuniform float uIsOrtho;\nuniform vec3 uCameraDir;\n\nvoid main() {\n    #include assign_group\n    #include assign_color_varying\n    #include assign_marker_varying\n    #include assign_clipping_varying\n    #include assign_size\n\n    mat4 modelTransform = uModel * aTransform;\n\n    vTransform = aTransform;\n    vStart = (modelTransform * vec4(aStart, 1.0)).xyz;\n    vEnd = (modelTransform * vec4(aEnd, 1.0)).xyz;\n    vSize = size * aScale;\n    vCap = aCap;\n\n    vModelPosition = (vStart + vEnd) * 0.5;\n    vec3 camDir = -mix(normalize(vModelPosition - uCameraPosition), uCameraDir, uIsOrtho);\n    vec3 dir = vEnd - vStart;\n    // ensure cylinder 'dir' is pointing towards the camera\n    if(dot(camDir, dir) < 0.0) dir = -dir;\n\n    vec3 left = cross(camDir, dir);\n    vec3 up = cross(left, dir);\n    left = vSize * normalize(left);\n    up = vSize * normalize(up);\n\n    // move vertex in object-space from center to corner\n    vModelPosition += aMapping.x * dir + aMapping.y * left + aMapping.z * up;\n\n    vec4 mvPosition = uView * vec4(vModelPosition, 1.0);\n    vViewPosition = mvPosition.xyz;\n    gl_Position = uProjection * mvPosition;\n\n    #include clip_instance\n}\n","\nprecision highp float;\nprecision highp int;\n\n#define bumpEnabled\n\nuniform mat4 uView;\n\nvarying mat4 vTransform;\nvarying vec3 vStart;\nvarying vec3 vEnd;\nvarying float vSize;\nvarying float vCap;\n\nuniform vec3 uCameraDir;\nuniform vec3 uCameraPosition;\nuniform mat4 uInvView;\n\n#include common\n#include common_frag_params\n#include color_frag_params\n#include light_frag_params\n#include common_clip\n\n// adapted from https://www.shadertoy.com/view/4lcSRn\n// The MIT License, Copyright 2016 Inigo Quilez\nbool CylinderImpostor(\n    in vec3 rayOrigin, in vec3 rayDir,\n    in vec3 start, in vec3 end, in float radius,\n    out vec4 intersection, out bool interior\n){\n    vec3 ba = end - start;\n    vec3 oc = rayOrigin - start;\n\n    float baba = dot(ba, ba);\n    float bard = dot(ba, rayDir);\n    float baoc = dot(ba, oc);\n\n    float k2 = baba - bard*bard;\n    float k1 = baba * dot(oc, rayDir) - baoc * bard;\n    float k0 = baba * dot(oc, oc) - baoc * baoc - radius * radius * baba;\n\n    float h = k1 * k1 - k2 * k0;\n    if (h < 0.0) return false;\n\n    bool topCap = (vCap > 0.9 && vCap < 1.1) || vCap >= 2.9;\n    bool bottomCap = (vCap > 1.9 && vCap < 2.1) || vCap >= 2.9;\n\n    // body outside\n    h = sqrt(h);\n    float t = (-k1 - h) / k2;\n    float y = baoc + t * bard;\n    if (y > 0.0 && y < baba) {\n        interior = false;\n        intersection = vec4(t, (oc + t * rayDir - ba * y / baba) / radius);\n        return true;\n    }\n\n    if (topCap && y < 0.0) {\n        // top cap\n        t = -baoc / bard;\n        if (abs(k1 + k2 * t) < h) {\n            interior = false;\n            intersection = vec4(t, ba * sign(y) / baba);\n            return true;\n        }\n    } else if(bottomCap && y >= 0.0) {\n        // bottom cap\n        t = (baba - baoc) / bard;\n        if (abs(k1 + k2 * t) < h) {\n            interior = false;\n            intersection = vec4(t, ba * sign(y) / baba);\n            return true;\n        }\n    }\n\n    #ifdef dDoubleSided\n        // body inside\n        h = -h;\n        t = (-k1 - h) / k2;\n        y = baoc + t * bard;\n        if (y > 0.0 && y < baba) {\n            interior = true;\n            intersection = vec4(t, (oc + t * rayDir - ba * y / baba) / radius);\n            return true;\n        }\n\n        // TODO: handle inside caps???\n    #endif\n\n    return false;\n}\n\nvoid main() {\n    #include clip_pixel\n\n    vec3 rayDir = mix(normalize(vModelPosition - uCameraPosition), uCameraDir, uIsOrtho);\n\n    vec4 intersection;\n    bool interior;\n    bool hit = CylinderImpostor(vModelPosition, rayDir, vStart, vEnd, vSize, intersection, interior);\n    if (!hit) discard;\n\n    vec3 vViewPosition = vModelPosition + intersection.x * rayDir;\n    vViewPosition = (uView * vec4(vViewPosition, 1.0)).xyz;\n    gl_FragDepthEXT = calcDepth(vViewPosition);\n\n    vec3 vModelPosition = (uInvView * vec4(vViewPosition, 1.0)).xyz;\n\n    if (gl_FragDepthEXT < 0.0) discard;\n    if (gl_FragDepthEXT > 1.0) discard;\n\n    float fragmentDepth = gl_FragDepthEXT;\n    #include assign_material_color\n\n    #if defined(dRenderVariant_pick)\n        #include check_picking_alpha\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_depth)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_marking)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_color)\n        #ifdef dIgnoreLight\n            gl_FragColor = material;\n        #else\n            mat3 normalMatrix = transpose3(inverse3(mat3(uView)));\n            vec3 normal = normalize(normalMatrix * -normalize(intersection.yzw));\n            #include apply_light_color\n        #endif\n\n        #include apply_interior_color\n        #include apply_marker_color\n        #include apply_fog\n        #include wboit_write\n    #endif\n}\n",{fragDepth:"required",drawBuffers:"optional"}),Jp=_p("text","\nprecision highp float;\nprecision highp int;\n\n#include common\n#include read_from_texture\n#include common_vert_params\n#include color_vert_params\n#include size_vert_params\n#include common_clip\n\nuniform mat4 uModelView;\n\nattribute vec3 aPosition;\nattribute vec2 aMapping;\nattribute float aDepth;\nattribute vec2 aTexCoord;\nattribute mat4 aTransform;\nattribute float aInstance;\nattribute float aGroup;\n\nuniform float uOffsetX;\nuniform float uOffsetY;\nuniform float uOffsetZ;\n\n// uniform bool ortho;\nuniform float uPixelRatio;\nuniform vec4 uViewport;\n\nvarying vec2 vTexCoord;\n\n#include matrix_scale\n\nvoid main(void){\n    #include assign_group\n    #include assign_color_varying\n    #include assign_marker_varying\n    #include assign_clipping_varying\n    #include assign_size\n\n    vTexCoord = aTexCoord;\n\n    float scale = matrixScale(uModelView);\n\n    float offsetX = uOffsetX * scale;\n    float offsetY = uOffsetY * scale;\n    float offsetZ = (uOffsetZ + aDepth * 0.95) * scale;\n\n    vec4 position4 = vec4(aPosition, 1.0);\n    vec4 mvPosition = uModelView * aTransform * position4;\n\n    vModelPosition = (uModel * aTransform * position4).xyz; // for clipping in frag shader\n\n    // TODO\n    // #ifdef FIXED_SIZE\n    //     if (ortho) {\n    //         scale /= pixelRatio * ((uViewport.w / 2.0) / -uCameraPosition.z) * 0.1;\n    //     } else {\n    //         scale /= pixelRatio * ((uViewport.w / 2.0) / -mvPosition.z) * 0.1;\n    //     }\n    // #endif\n\n    vec4 mvCorner = vec4(mvPosition.xyz, 1.0);\n\n    if (vTexCoord.x == 10.0) { // indicates background plane\n        // move a bit to the back, taking distance to camera into account to avoid z-fighting\n        offsetZ -= 0.001 * distance(uCameraPosition, (uProjection * mvCorner).xyz);\n    }\n\n    mvCorner.xy += aMapping * size * scale;\n    mvCorner.x += offsetX;\n    mvCorner.y += offsetY;\n\n    // TODO\n    // if(ortho){\n    //     mvCorner.xyz += normalize(-uCameraPosition) * offsetZ;\n    // } else {\n    //     mvCorner.xyz += normalize(-mvCorner.xyz) * offsetZ;\n    // }\n    mvCorner.xyz += normalize(-mvCorner.xyz) * offsetZ;\n\n    gl_Position = uProjection * mvCorner;\n\n    vViewPosition = -mvCorner.xyz;\n\n    #include clip_instance\n}\n","\nprecision highp float;\nprecision highp int;\n\n#include common\n#include common_frag_params\n#include color_frag_params\n#include common_clip\n\nuniform sampler2D tFont;\n\nuniform vec3 uBorderColor;\nuniform float uBorderWidth;\nuniform vec3 uBackgroundColor;\nuniform float uBackgroundOpacity;\n\nvarying vec2 vTexCoord;\n\nconst float smoothness = 32.0;\nconst float gamma = 2.2;\n\nvoid main2(){\n    gl_FragColor = vec4(1.0, 0.0, 0.0, 1.0);\n}\n\nvoid main(){\n    #include clip_pixel\n\n    float fragmentDepth = gl_FragCoord.z;\n    bool interior = false;\n    #include assign_material_color\n\n    if (vTexCoord.x > 1.0) {\n        gl_FragColor = vec4(uBackgroundColor, uBackgroundOpacity * material.a);\n    } else {\n        // retrieve signed distance\n        float sdf = texture2D(tFont, vTexCoord).a + uBorderWidth;\n\n        // perform adaptive anti-aliasing of the edges\n        float w = clamp(smoothness * (abs(dFdx(vTexCoord.x)) + abs(dFdy(vTexCoord.y))), 0.0, 0.5);\n        float a = smoothstep(0.5 - w, 0.5 + w, sdf);\n\n        // gamma correction for linear attenuation\n        a = pow(a, 1.0 / gamma);\n\n        if (a < 0.5) discard;\n        material.a *= a;\n\n        // add border\n        float t = 0.5 + uBorderWidth;\n        if (uBorderWidth > 0.0 && sdf < t) {\n            material.xyz = mix(uBorderColor, material.xyz, smoothstep(t - w, t, sdf));\n        }\n\n        gl_FragColor = material;\n    }\n\n    #if defined(dRenderVariant_pick)\n        #include check_picking_alpha\n    #elif defined(dRenderVariant_depth)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_marking)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_color)\n        #include apply_marker_color\n        #include apply_fog\n        #include wboit_write\n    #endif\n}\n",{drawBuffers:"optional"}),Op=_p("lines","\nprecision highp float;\nprecision highp int;\n\n#include common\n#include read_from_texture\n#include common_vert_params\n#include color_vert_params\n#include size_vert_params\n#include common_clip\n\nuniform float uPixelRatio;\nuniform vec4 uViewport;\n\nattribute mat4 aTransform;\nattribute float aInstance;\nattribute float aGroup;\n\nattribute vec2 aMapping;\nattribute vec3 aStart;\nattribute vec3 aEnd;\n\nvoid trimSegment(const in vec4 start, inout vec4 end) {\n    // trim end segment so it terminates between the camera plane and the near plane\n    // conservative estimate of the near plane\n    float a = uProjection[2][2];  // 3rd entry in 3rd column\n    float b = uProjection[3][2];  // 3rd entry in 4th column\n    float nearEstimate = -0.5 * b / a;\n    float alpha = (nearEstimate - start.z) / (end.z - start.z);\n    end.xyz = mix(start.xyz, end.xyz, alpha);\n}\n\nvoid main(){\n    float aspect = uViewport.z / uViewport.w;\n\n    #include assign_group\n    #include assign_color_varying\n    #include assign_marker_varying\n    #include assign_clipping_varying\n    #include assign_size\n\n    mat4 modelView = uView * uModel * aTransform;\n\n    // camera space\n    vec4 start = modelView * vec4(aStart, 1.0);\n    vec4 end = modelView * vec4(aEnd, 1.0);\n\n    // assign position\n    vec4 position4 = vec4((aMapping.y < 0.5) ? aStart : aEnd, 1.0);\n    vec4 mvPosition = modelView * position4;\n    vViewPosition = mvPosition.xyz;\n\n    vModelPosition = (uModel * aTransform * position4).xyz; // for clipping in frag shader\n\n    // special case for perspective projection, and segments that terminate either in, or behind, the camera plane\n    // clearly the gpu firmware has a way of addressing this issue when projecting into ndc space\n    // but we need to perform ndc-space calculations in the shader, so we must address this issue directly\n    // perhaps there is a more elegant solution -- WestLangley\n    bool perspective = (uProjection[2][3] == -1.0); // 4th entry in the 3rd column\n    if (perspective) {\n        if (start.z < 0.0 && end.z >= 0.0) {\n            trimSegment(start, end);\n        } else if (end.z < 0.0 && start.z >= 0.0) {\n            trimSegment(end, start);\n        }\n    }\n\n    // clip space\n    vec4 clipStart = uProjection * start;\n    vec4 clipEnd = uProjection * end;\n\n    // ndc space\n    vec2 ndcStart = clipStart.xy / clipStart.w;\n    vec2 ndcEnd = clipEnd.xy / clipEnd.w;\n\n    // direction\n    vec2 dir = ndcEnd - ndcStart;\n\n    // account for clip-space aspect ratio\n    dir.x *= aspect;\n    dir = normalize(dir);\n\n    // perpendicular to dir\n    vec2 offset = vec2(dir.y, - dir.x);\n\n    // undo aspect ratio adjustment\n    dir.x /= aspect;\n    offset.x /= aspect;\n\n    // sign flip\n    if (aMapping.x < 0.0) offset *= -1.0;\n\n    // calculate linewidth\n    float linewidth;\n    #ifdef dLineSizeAttenuation\n        linewidth = size * uPixelRatio * ((uViewport.w / 2.0) / -start.z) * 5.0;\n    #else\n        linewidth = size * uPixelRatio;\n    #endif\n    linewidth = max(1.0, linewidth);\n\n    // adjust for linewidth\n    offset *= linewidth;\n\n    // adjust for clip-space to screen-space conversion\n    offset /= uViewport.w;\n\n    // select end\n    vec4 clip = (aMapping.y < 0.5) ? clipStart : clipEnd;\n\n    // back to clip space\n    offset *= clip.w;\n    clip.xy += offset;\n    gl_Position = clip;\n\n    #include clip_instance\n}\n","\nprecision highp float;\nprecision highp int;\n\n#include common\n#include common_frag_params\n#include color_frag_params\n#include common_clip\n\nvoid main(){\n    #include clip_pixel\n\n    bool interior = false;\n    float fragmentDepth = gl_FragCoord.z;\n    #include assign_material_color\n\n    #if defined(dRenderVariant_pick)\n        #include check_picking_alpha\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_depth)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_marking)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_color)\n        gl_FragColor = material;\n\n        #include apply_marker_color\n        #include apply_fog\n        #include wboit_write\n    #endif\n}\n",{drawBuffers:"optional"}),Kp=_p("mesh","\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\n#include common\n#include read_from_texture\n#include common_vert_params\n#include color_vert_params\n#include common_clip\n#include texture3d_from_2d_linear\n\n#ifdef dGeoTexture\n    uniform vec2 uGeoTexDim;\n    uniform sampler2D tPosition;\n    uniform sampler2D tGroup;\n    uniform sampler2D tNormal;\n#else\n    attribute vec3 aPosition;\n    attribute float aGroup;\n    attribute vec3 aNormal;\n#endif\nattribute mat4 aTransform;\nattribute float aInstance;\n\nvarying vec3 vNormal;\n\nvoid main(){\n    #include assign_group\n    #include assign_marker_varying\n    #include assign_clipping_varying\n    #include assign_position\n    #include assign_color_varying\n    #include clip_instance\n\n    #ifdef dGeoTexture\n        vec3 normal = readFromTexture(tNormal, VertexID, uGeoTexDim).xyz;\n    #else\n        vec3 normal = aNormal;\n    #endif\n    mat3 normalMatrix = transpose3(inverse3(mat3(modelView)));\n    vec3 transformedNormal = normalize(normalMatrix * normalize(normal));\n    #if defined(dFlipSided) && !defined(dDoubleSided) // TODO checking dDoubleSided should not be required, ASR\n        transformedNormal = -transformedNormal;\n    #endif\n    vNormal = transformedNormal;\n}\n","\nprecision highp float;\nprecision highp int;\n\n#define bumpEnabled\n\n#include common\n#include common_frag_params\n#include color_frag_params\n#include light_frag_params\n#include normal_frag_params\n#include common_clip\n\nvoid main() {\n    #include clip_pixel\n\n    // Workaround for buggy gl_FrontFacing (e.g. on some integrated Intel GPUs)\n    vec3 fdx = dFdx(vViewPosition);\n    vec3 fdy = dFdy(vViewPosition);\n    vec3 faceNormal = normalize(cross(fdx,fdy));\n    bool frontFacing = dot(vNormal, faceNormal) > 0.0;\n\n    #if defined(dFlipSided)\n        interior = frontFacing;\n    #else\n        interior = !frontFacing;\n    #endif\n\n    float fragmentDepth = gl_FragCoord.z;\n    #include assign_material_color\n\n    #if defined(dRenderVariant_pick)\n        #include check_picking_alpha\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_depth)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_marking)\n        gl_FragColor = material;\n    #elif defined(dRenderVariant_color)\n        #ifdef dIgnoreLight\n            gl_FragColor = material;\n        #else\n            #if defined(dFlatShaded)\n                vec3 normal = -faceNormal;\n            #else\n                vec3 normal = -normalize(vNormal);\n                #ifdef dDoubleSided\n                    normal = normal * (float(frontFacing) * 2.0 - 1.0);\n                #endif\n            #endif\n            #include apply_light_color\n        #endif\n\n        #include apply_interior_color\n        #include apply_marker_color\n        #include apply_fog\n        #include wboit_write\n    #endif\n}\n",{drawBuffers:"optional"}),jp=_p("direct-volume","\nprecision highp float;\n\nattribute vec3 aPosition;\nattribute mat4 aTransform;\nattribute float aInstance;\n\nuniform mat4 uModelView;\nuniform mat4 uProjection;\nuniform vec4 uInvariantBoundingSphere;\n\nvarying vec3 vOrigPos;\nvarying float vInstance;\nvarying vec4 vBoundingSphere;\nvarying mat4 vTransform;\n\nuniform vec3 uBboxSize;\nuniform vec3 uBboxMin;\nuniform vec3 uBboxMax;\nuniform vec3 uGridDim;\nuniform mat4 uTransform;\n\nuniform mat4 uUnitToCartn;\n\nvoid main() {\n    vec4 unitCoord = vec4(aPosition + vec3(0.5), 1.0);\n    vec4 mvPosition = uModelView * aTransform * uUnitToCartn * unitCoord;\n\n    vOrigPos = (aTransform * uUnitToCartn * unitCoord).xyz;\n    vInstance = aInstance;\n    vBoundingSphere = vec4(\n        (aTransform * vec4(uInvariantBoundingSphere.xyz, 1.0)).xyz,\n        uInvariantBoundingSphere.w\n    );\n    vTransform = aTransform;\n\n    gl_Position = uProjection * mvPosition;\n\n    // move z position to near clip plane (but not too close to get precision issues)\n    gl_Position.z = gl_Position.w - 0.01;\n}\n","\nprecision highp float;\nprecision highp int;\n\n#include common\n#include light_frag_params\n\n#if dClipObjectCount != 0\n    uniform int uClipObjectType[dClipObjectCount];\n    uniform bool uClipObjectInvert[dClipObjectCount];\n    uniform vec3 uClipObjectPosition[dClipObjectCount];\n    uniform vec4 uClipObjectRotation[dClipObjectCount];\n    uniform vec3 uClipObjectScale[dClipObjectCount];\n#endif\n#include common_clip\n\n#include read_from_texture\n#include texture3d_from_1d_trilinear\n#include texture3d_from_2d_nearest\n#include texture3d_from_2d_linear\n\nuniform mat4 uProjection, uTransform, uModelView, uModel, uView;\nuniform vec3 uCameraDir;\n\nuniform sampler2D tDepth;\nuniform vec2 uDrawingBufferSize;\n\nvarying vec3 vOrigPos;\nvarying float vInstance;\nvarying vec4 vBoundingSphere;\nvarying mat4 vTransform;\n\nuniform mat4 uInvView;\nuniform vec2 uIsoValue;\nuniform vec3 uGridDim;\nuniform vec3 uBboxSize;\nuniform sampler2D tTransferTex;\nuniform float uTransferScale;\nuniform float uStepScale;\nuniform float uJumpLength;\n\nuniform int uObjectId;\nuniform int uVertexCount;\nuniform int uInstanceCount;\nuniform int uGroupCount;\n\nuniform vec3 uHighlightColor;\nuniform vec3 uSelectColor;\nuniform float uHighlightStrength;\nuniform float uSelectStrength;\nuniform int uMarkerPriority;\n\n#if defined(dMarkerType_uniform)\n    uniform float uMarker;\n#elif defined(dMarkerType_groupInstance)\n    uniform vec2 uMarkerTexDim;\n    uniform sampler2D tMarker;\n#endif\n\nuniform float uMetalness;\nuniform float uRoughness;\n\nuniform float uFogNear;\nuniform float uFogFar;\nuniform vec3 uFogColor;\n\nuniform float uAlpha;\nuniform float uPickingAlphaThreshold;\nuniform bool uTransparentBackground;\n\nuniform float uInteriorDarkening;\nuniform bool uInteriorColorFlag;\nuniform vec3 uInteriorColor;\nbool interior;\n\nuniform bool uRenderWboit;\n\nuniform float uNear;\nuniform float uFar;\nuniform float uIsOrtho;\n\nuniform vec3 uCellDim;\nuniform vec3 uCameraPosition;\nuniform mat4 uCartnToUnit;\n\n#if __VERSION__ != 100\n    // for webgl1 this is given as a 'define'\n    uniform int uMaxSteps;\n#endif\n\n#if defined(dGridTexType_2d)\n    precision highp sampler2D;\n    uniform sampler2D tGridTex;\n    uniform vec3 uGridTexDim;\n#elif defined(dGridTexType_3d)\n    precision highp sampler3D;\n    uniform sampler3D tGridTex;\n#endif\n\n#if defined(dRenderVariant_color)\n    #if defined(dColorType_uniform)\n        uniform vec3 uColor;\n    #elif defined(dColorType_texture)\n        uniform vec2 uColorTexDim;\n        uniform sampler2D tColor;\n    #endif\n\n    #ifdef dOverpaint\n        #if defined(dOverpaintType_groupInstance) || defined(dOverpaintType_vertexInstance)\n            uniform vec2 uOverpaintTexDim;\n            uniform sampler2D tOverpaint;\n        #endif\n    #endif\n\n    #ifdef dSubstance\n        #if defined(dSubstanceType_groupInstance) || defined(dSubstanceType_vertexInstance)\n            uniform vec2 uSubstanceTexDim;\n            uniform sampler2D tSubstance;\n        #endif\n    #endif\n#endif\n\n#if defined(dGridTexType_2d)\n    vec4 textureVal(vec3 pos) {\n        return texture3dFrom2dLinear(tGridTex, pos + (vec3(0.5, 0.5, 0.0) / uGridDim), uGridDim, uGridTexDim.xy);\n    }\n    vec4 textureGroup(vec3 pos) {\n        return texture3dFrom2dNearest(tGridTex, pos + (vec3(0.5, 0.5, 0.0) / uGridDim), uGridDim, uGridTexDim.xy);\n    }\n#elif defined(dGridTexType_3d)\n    vec4 textureVal(vec3 pos) {\n        return texture(tGridTex, pos + (vec3(0.5) / uGridDim));\n    }\n    vec4 textureGroup(vec3 pos) {\n        return texelFetch(tGridTex, ivec3(pos * uGridDim), 0);\n    }\n#endif\n\nfloat calcDepth(const in vec3 pos) {\n    vec2 clipZW = pos.z * uProjection[2].zw + uProjection[3].zw;\n    return 0.5 + 0.5 * clipZW.x / clipZW.y;\n}\n\nvec4 transferFunction(float value) {\n    return texture2D(tTransferTex, vec2(value, 0.0));\n}\n\nfloat getDepth(const in vec2 coords) {\n    #ifdef depthTextureSupport\n        if (!uRenderWboit) {\n            // in case of opaque volumes (and depth texture support)\n            return texture2D(tDepth, coords).r;\n        } else {\n            return unpackRGBAToDepth(texture2D(tDepth, coords));\n        }\n    #else\n        return unpackRGBAToDepth(texture2D(tDepth, coords));\n    #endif\n}\n\nconst float gradOffset = 0.5;\n\nvec3 v3m4(vec3 p, mat4 m) {\n    return (m * vec4(p, 1.0)).xyz;\n}\n\nfloat preFogAlphaBlended = 0.0;\n\nvec4 raymarch(vec3 startLoc, vec3 step, vec3 rayDir) {\n    #if defined(dRenderVariant_color) && !defined(dIgnoreLight)\n        mat3 normalMatrix = transpose3(inverse3(mat3(uModelView * vTransform)));\n    #endif\n    mat4 cartnToUnit = uCartnToUnit * inverse4(vTransform);\n    #if defined(dClipVariant_pixel) && dClipObjectCount != 0\n        mat4 modelTransform = uModel * vTransform * uTransform;\n    #endif\n    mat4 modelViewTransform = uModelView * vTransform * uTransform;\n\n    vec3 scaleVol = vec3(1.0) / uGridDim;\n    vec3 pos = startLoc;\n    vec4 cell;\n    float prevValue = -1.0;\n    float value = 0.0;\n    vec4 src = vec4(0.0);\n    vec4 dst = vec4(0.0);\n    bool hit = false;\n    float fragmentDepth;\n\n    vec3 posMin = vec3(0.0);\n    vec3 posMax = vec3(1.0) - vec3(1.0) / uGridDim;\n\n    vec3 unitPos;\n    vec3 isoPos;\n\n    vec3 nextPos;\n    float nextValue;\n\n    vec3 color = vec3(0.45, 0.55, 0.8);\n    vec4 overpaint = vec4(0.0);\n    vec3 substance = vec3(0.0);\n    float metalness = uMetalness;\n    float roughness = uRoughness;\n\n    vec3 gradient = vec3(1.0);\n    vec3 dx = vec3(gradOffset * scaleVol.x, 0.0, 0.0);\n    vec3 dy = vec3(0.0, gradOffset * scaleVol.y, 0.0);\n    vec3 dz = vec3(0.0, 0.0, gradOffset * scaleVol.z);\n\n    float maxDist = min(vBoundingSphere.w * 2.0, uFar - uNear);\n    float maxDistSq = maxDist * maxDist;\n\n    for (int i = 0; i < uMaxSteps; ++i) {\n        // break when beyond bounding-sphere or far-plane\n        vec3 distVec = startLoc - pos;\n        if (dot(distVec, distVec) > maxDistSq) break;\n\n        unitPos = v3m4(pos, cartnToUnit);\n\n        // continue when outside of grid\n        if (unitPos.x > posMax.x || unitPos.y > posMax.y || unitPos.z > posMax.z ||\n            unitPos.x < posMin.x || unitPos.y < posMin.y || unitPos.z < posMin.z\n        ) {\n            if (hit) break;\n            prevValue = value;\n            pos += step;\n            continue;\n        }\n\n        cell = textureVal(unitPos);\n        value = cell.a; // current voxel value\n\n        if (uJumpLength > 0.0 && value < 0.01) {\n            nextPos = pos + rayDir * uJumpLength;\n            nextValue = textureVal(v3m4(nextPos, cartnToUnit)).a;\n            if (nextValue < 0.01) {\n                prevValue = nextValue;\n                pos = nextPos;\n                continue;\n            }\n        }\n\n        #if defined(dRenderMode_isosurface)\n            if (prevValue > 0.0 && ( // there was a prev Value\n                (prevValue < uIsoValue.x && value > uIsoValue.x) || // entering isosurface\n                (prevValue > uIsoValue.x && value < uIsoValue.x) // leaving isosurface\n            )) {\n                isoPos = v3m4(mix(pos - step, pos, ((prevValue - uIsoValue.x) / ((prevValue - uIsoValue.x) - (value - uIsoValue.x)))), cartnToUnit);\n\n                vec4 mvPosition = modelViewTransform * vec4(isoPos * uGridDim, 1.0);\n\n                #if defined(dClipVariant_pixel) && dClipObjectCount != 0\n                    vec3 vModelPosition = v3m4(isoPos * uGridDim, modelTransform);\n                    if (clipTest(vec4(vModelPosition, 0.0), 0)) {\n                        prevValue = value;\n                        pos += step;\n                        continue;\n                    }\n                #endif\n\n                float depth = calcDepth(mvPosition.xyz);\n                if (depth > getDepth(gl_FragCoord.xy / uDrawingBufferSize))\n                    break;\n\n                #ifdef enabledFragDepth\n                    if (!hit) {\n                        gl_FragDepthEXT = depth;\n                    }\n                #endif\n\n                #if defined(dRenderVariant_pickObject)\n                    return vec4(encodeFloatRGB(float(uObjectId)), 1.0);\n                #elif defined(dRenderVariant_pickInstance)\n                    return vec4(encodeFloatRGB(vInstance), 1.0);\n                #elif defined(dRenderVariant_pickGroup)\n                    #ifdef dPackedGroup\n                        return vec4(textureGroup(floor(isoPos * uGridDim + 0.5) / uGridDim).rgb, 1.0);\n                    #else\n                        vec3 g = floor(isoPos * uGridDim + 0.5);\n                        return vec4(encodeFloatRGB(g.z + g.y * uGridDim.z + g.x * uGridDim.z * uGridDim.y), 1.0);\n                    #endif\n                #elif defined(dRenderVariant_depth)\n                    #ifdef enabledFragDepth\n                        return packDepthToRGBA(gl_FragDepthEXT);\n                    #else\n                        return packDepthToRGBA(depth);\n                    #endif\n                #elif defined(dRenderVariant_color)\n                    #ifdef dPackedGroup\n                        float group = decodeFloatRGB(textureGroup(floor(isoPos * uGridDim + 0.5) / uGridDim).rgb);\n                    #else\n                        vec3 g = floor(isoPos * uGridDim + 0.5);\n                        float group = g.z + g.y * uGridDim.z + g.x * uGridDim.z * uGridDim.y;\n                    #endif\n\n                    #if defined(dColorType_uniform)\n                        color = uColor;\n                    #elif defined(dColorType_instance)\n                        color = readFromTexture(tColor, vInstance, uColorTexDim).rgb;\n                    #elif defined(dColorType_group)\n                        color = readFromTexture(tColor, group, uColorTexDim).rgb;\n                    #elif defined(dColorType_groupInstance)\n                        color = readFromTexture(tColor, vInstance * float(uGroupCount) + group, uColorTexDim).rgb;\n                    #elif defined(dColorType_vertex)\n                        color = texture3dFrom1dTrilinear(tColor, isoPos, uGridDim, uColorTexDim, 0.0).rgb;\n                    #elif defined(dColorType_vertexInstance)\n                        color = texture3dFrom1dTrilinear(tColor, isoPos, uGridDim, uColorTexDim, vInstance * float(uVertexCount)).rgb;\n                    #endif\n\n                    #ifdef dOverpaint\n                        #if defined(dOverpaintType_groupInstance)\n                            overpaint = readFromTexture(tOverpaint, vInstance * float(uGroupCount) + group, uOverpaintTexDim);\n                        #elif defined(dOverpaintType_vertexInstance)\n                            overpaint = texture3dFrom1dTrilinear(tOverpaint, isoPos, uGridDim, uOverpaintTexDim, vInstance * float(uVertexCount));\n                        #endif\n\n                        color = mix(color, overpaint.rgb, overpaint.a);\n                    #endif\n\n                    // handle flipping and negative isosurfaces\n                    #ifdef dFlipSided\n                        bool flipped = value < uIsoValue.y; // flipped\n                    #else\n                        bool flipped = value > uIsoValue.y;\n                    #endif\n                    interior = value < uIsoValue.x && flipped;\n                    #ifndef dDoubleSided\n                        if (interior) {\n                            prevValue = value;\n                            pos += step;\n                            continue;\n                        }\n                    #endif\n                    vec3 vViewPosition = mvPosition.xyz;\n                    vec4 material = vec4(color, uAlpha);\n\n                    #ifdef dIgnoreLight\n                        gl_FragColor = material;\n                    #else\n                        #if defined(dFlatShaded)\n                            // nearest grid point\n                            isoPos = floor(isoPos * uGridDim + 0.5) / uGridDim;\n                        #endif\n                        #ifdef dPackedGroup\n                            // compute gradient by central differences\n                            gradient.x = textureVal(isoPos - dx).a - textureVal(isoPos + dx).a;\n                            gradient.y = textureVal(isoPos - dy).a - textureVal(isoPos + dy).a;\n                            gradient.z = textureVal(isoPos - dz).a - textureVal(isoPos + dz).a;\n                        #else\n                            gradient = textureVal(isoPos).xyz * 2.0 - 1.0;\n                        #endif\n                        vec3 normal = -normalize(normalMatrix * normalize(gradient));\n                        normal = normal * (float(flipped) * 2.0 - 1.0);\n                        normal = normal * -(float(interior) * 2.0 - 1.0);\n                        #ifdef dSubstance\n                            #if defined(dSubstanceType_groupInstance)\n                                substance = readFromTexture(tSubstance, vInstance * float(uGroupCount) + group, uSubstanceTexDim).rgb;\n                            #elif defined(dSubstanceType_vertexInstance)\n                                substance = texture3dFrom1dTrilinear(tSubstance, isoPos, uGridDim, uSubstanceTexDim, vInstance * float(uVertexCount)).rgb;\n                            #endif\n                            metalness = mix(metalness, substance.r, substance.b);\n                            roughness = mix(roughness, substance.g, substance.b);\n                        #endif\n                        #include apply_light_color\n                    #endif\n\n                    #if defined(dMarkerType_uniform)\n                        float marker = uMarker;\n                    #elif defined(dMarkerType_groupInstance)\n                        float marker = readFromTexture(tMarker, vInstance * float(uGroupCount) + group, uMarkerTexDim).a;\n                        marker = floor(marker * 255.0 + 0.5); // rounding required to work on some cards on win\n                    #endif\n                    #include apply_interior_color\n                    #include apply_marker_color\n\n                    preFogAlphaBlended = (1.0 - preFogAlphaBlended) * gl_FragColor.a + preFogAlphaBlended;\n                    fragmentDepth = depth;\n                    #include apply_fog\n\n                    src = gl_FragColor;\n\n                    if (!uTransparentBackground) {\n                        // done in 'apply_fog' otherwise\n                        src.rgb *= src.a;\n                    }\n                    dst = (1.0 - dst.a) * src + dst; // standard blending\n                #endif\n\n                #ifdef dSingleLayer\n                    break;\n                #endif\n\n                hit = true;\n            }\n            prevValue = value;\n        #elif defined(dRenderMode_volume)\n            vec4 mvPosition = modelViewTransform * vec4(unitPos * uGridDim, 1.0);\n            if (calcDepth(mvPosition.xyz) > getDepth(gl_FragCoord.xy / uDrawingBufferSize))\n                break;\n\n            #if defined(dClipVariant_pixel) && dClipObjectCount != 0\n                vec3 vModelPosition = v3m4(unitPos * uGridDim, modelTransform);\n                if (clipTest(vec4(vModelPosition, 0.0), 0)) {\n                    prevValue = value;\n                    pos += step;\n                    continue;\n                }\n            #endif\n\n            #if defined(dRenderVariant_color)\n                vec3 vViewPosition = mvPosition.xyz;\n                vec4 material = transferFunction(value);\n\n                #ifdef dIgnoreLight\n                    gl_FragColor.rgb = material.rgb;\n                #else\n                    if (material.a >= 0.01) {\n                        #ifdef dPackedGroup\n                            // compute gradient by central differences\n                            gradient.x = textureVal(unitPos - dx).a - textureVal(unitPos + dx).a;\n                            gradient.y = textureVal(unitPos - dy).a - textureVal(unitPos + dy).a;\n                            gradient.z = textureVal(unitPos - dz).a - textureVal(unitPos + dz).a;\n                        #else\n                            gradient = cell.xyz * 2.0 - 1.0;\n                        #endif\n                        vec3 normal = -normalize(normalMatrix * normalize(gradient));\n                        #include apply_light_color\n                    } else {\n                        gl_FragColor.rgb = material.rgb;\n                    }\n                #endif\n\n                gl_FragColor.a = material.a * uAlpha * uTransferScale;\n\n                #if defined(dMarkerType_uniform)\n                    float marker = uMarker;\n                #elif defined(dMarkerType_groupInstance)\n                    #ifdef dPackedGroup\n                        float group = decodeFloatRGB(textureGroup(floor(unitPos * uGridDim + 0.5) / uGridDim).rgb);\n                    #else\n                        vec3 g = floor(unitPos * uGridDim + 0.5);\n                        float group = g.z + g.y * uGridDim.z + g.x * uGridDim.z * uGridDim.y;\n                    #endif\n                    float marker = readFromTexture(tMarker, vInstance * float(uGroupCount) + group, uMarkerTexDim).a;\n                    marker = floor(marker * 255.0 + 0.5); // rounding required to work on some cards on win\n                #endif\n                #include apply_marker_color\n\n                preFogAlphaBlended = (1.0 - preFogAlphaBlended) * gl_FragColor.a + preFogAlphaBlended;\n                fragmentDepth = calcDepth(mvPosition.xyz);\n                #include apply_fog\n\n                src = gl_FragColor;\n\n                if (!uTransparentBackground) {\n                    // done in 'apply_fog' otherwise\n                    src.rgb *= src.a;\n                }\n                dst = (1.0 - dst.a) * src + dst; // standard blending\n            #endif\n        #endif\n\n        // break if the color is opaque enough\n        if (dst.a > 0.95)\n            break;\n\n        pos += step;\n    }\n\n    #if defined(dRenderMode_isosurface) && defined(enabledFragDepth)\n        // ensure depth is written everywhere\n        if (!hit)\n            gl_FragDepthEXT = 1.0;\n    #endif\n\n    return dst;\n}\n\n// TODO: support float texture for higher precision values???\n// TODO: support clipping exclusion texture support\n\nvoid main() {\n    if (gl_FrontFacing)\n        discard;\n\n    #ifdef dRenderVariant_marking\n        // not supported\n        discard;\n    #endif\n\n    #if defined(dRenderVariant_pick) || defined(dRenderVariant_depth)\n        #if defined(dRenderMode_volume)\n            // always ignore pick & depth for volume\n            discard;\n        #elif defined(dRenderMode_isosurface)\n            if (uAlpha < uPickingAlphaThreshold)\n                discard; // ignore so the element below can be picked\n        #endif\n    #endif\n\n    vec3 rayDir = mix(normalize(vOrigPos - uCameraPosition), uCameraDir, uIsOrtho);\n    vec3 step = rayDir * uStepScale;\n\n    float boundingSphereNear = distance(vBoundingSphere.xyz, uCameraPosition) - vBoundingSphere.w;\n    float d = max(uNear, boundingSphereNear) - mix(0.0, distance(vOrigPos, uCameraPosition), uIsOrtho);\n    vec3 start = mix(uCameraPosition, vOrigPos, uIsOrtho) + (d * rayDir);\n    gl_FragColor = raymarch(start, step, rayDir);\n\n    #if defined(dRenderVariant_pick) || defined(dRenderVariant_depth)\n        // discard when nothing was hit\n        if (gl_FragColor == vec4(0.0))\n            discard;\n    #endif\n\n    #if defined(dRenderVariant_color)\n   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sampler2D tGroupTex;\n\nuniform vec2 uMarkerTexDim;\nuniform sampler2D tMarker;\n\nvarying vec2 vUv;\nvarying float vInstance;\n\n#if defined(dInterpolation_catmulrom) || defined(dInterpolation_mitchell) || defined(dInterpolation_bspline)\n    #define dInterpolation_cubic\n#endif\n\n#if defined(dInterpolation_cubic)\n    #if defined(dInterpolation_catmulrom) || defined(dInterpolation_mitchell)\n        #if defined(dInterpolation_catmulrom)\n            const float B = 0.0;\n            const float C = 0.5;\n        #elif defined(dInterpolation_mitchell)\n            const float B = 0.333;\n            const float C = 0.333;\n        #endif\n\n        float cubicFilter(float x){\n            float f = x;\n            if (f < 0.0) {\n                f = -f;\n            }\n            if (f < 1.0) {\n                return ((12.0 - 9.0 * B - 6.0 * C) * (f * f * f) +\n                    (-18.0 + 12.0 * B + 6.0 * C) * (f * f) +\n                    (6.0 - 2.0 * B)) / 6.0;\n            }else if (f >= 1.0 && f < 2.0){\n                return ((-B - 6.0 * C) * ( f * f * f)\n                    + (6.0 * B + 30.0 * C) * (f * f) +\n                    (-(12.0 * B) - 48.0 * C) * f +\n                    8.0 * B + 24.0 * C) / 6.0;\n            }else{\n                return 0.0;\n            }\n        }\n    #elif defined(dInterpolation_bspline)\n        float cubicFilter(float x) {\n            float f = x;\n            if (f < 0.0) {\n                f = -f;\n            }\n            if (f >= 0.0 && f <= 1.0){\n                return (2.0 / 3.0) + (0.5) * (f * f * f) - (f * f);\n            } else if (f > 1.0 && f <= 2.0) {\n                return 1.0 / 6.0 * pow((2.0 - f), 3.0);\n            }\n            return 1.0;\n        }\n    #endif\n\n    vec4 biCubic(sampler2D tex, vec2 texCoord) {\n        vec2 texelSize = 1.0 / uImageTexDim;\n        texCoord -= texelSize / 2.0;\n        vec4 nSum = vec4(0.0);\n        float nDenom = 0.0;\n        vec2 cell = fract(texCoord * uImageTexDim);\n        for (float m = -1.0; m <= 2.0; ++m) {\n            for (float n = -1.0; n <= 2.0; ++n) {\n                vec4 vecData = texture2D(tex, texCoord + texelSize * vec2(m, n));\n                float c = cubicFilter(m - cell.x) * cubicFilter(-n + cell.y);\n                nSum += vecData * c;\n                nDenom += c;\n            }\n        }\n        return nSum / nDenom;\n    }\n#endif\n\nvoid main() {\n    #include clip_pixel\n\n    #if defined(dInterpolation_cubic)\n        vec4 imageData = biCubic(tImageTex, vUv);\n    #else\n        vec4 imageData = texture2D(tImageTex, vUv);\n    #endif\n    imageData.a = clamp(imageData.a, 0.0, 1.0);\n    if (imageData.a > 0.9) imageData.a = 1.0;\n\n    float fragmentDepth = gl_FragCoord.z;\n    bool interior = false;\n\n    #if defined(dRenderVariant_pick)\n        if (imageData.a < 0.3)\n            discard;\n        #if defined(dRenderVariant_pickObject)\n            gl_FragColor = vec4(encodeFloatRGB(float(uObjectId)), 1.0);\n        #elif defined(dRenderVariant_pickInstance)\n            gl_FragColor = vec4(encodeFloatRGB(vInstance), 1.0);\n        #elif defined(dRenderVariant_pickGroup)\n            gl_FragColor = vec4(texture2D(tGroupTex, vUv).rgb, 1.0);\n        #endif\n    #elif defined(dRenderVariant_depth)\n        if (imageData.a < 0.05)\n            discard;\n        gl_FragColor = packDepthToRGBA(gl_FragCoord.z);\n    #elif defined(dRenderVariant_marking)\n        #if defined(dMarkerType_uniform)\n            float marker = uMarker;\n        #elif defined(dMarkerType_groupInstance)\n            float group = decodeFloatRGB(texture2D(tGroupTex, vUv).rgb);\n            float marker = readFromTexture(tMarker, vInstance * float(uGroupCount) + group, uMarkerTexDim).a;\n            marker = floor(marker * 255.0 + 0.5); // rounding required to work on some cards on win\n        #endif\n        #if defined(dRenderVariant_markingDepth)\n            if (marker > 0.0 || imageData.a < 0.05)\n                discard;\n            gl_FragColor = packDepthToRGBA(gl_FragCoord.z);\n        #elif defined(dRenderVariant_markingMask)\n            if (marker == 0.0 || imageData.a < 0.05)\n                discard;\n            float depthTest = 1.0;\n            if (uMarkingDepthTest) {\n                depthTest = (fragmentDepth >= getDepth(gl_FragCoord.xy / uDrawingBufferSize)) ? 1.0 : 0.0;\n            }\n            bool isHighlight = intMod(marker, 2.0) > 0.1;\n            gl_FragColor = vec4(0.0, depthTest, isHighlight ? 1.0 : 0.0, 1.0);\n        #endif\n    #elif defined(dRenderVariant_color)\n        if (imageData.a < 0.05)\n            discard;\n        gl_FragColor = imageData;\n        gl_FragColor.a *= uAlpha;\n\n        #if defined(dMarkerType_uniform)\n            float marker = uMarker;\n        #elif defined(dMarkerType_groupInstance)\n            float group = decodeFloatRGB(texture2D(tGroupTex, vUv).rgb);\n            float marker = readFromTexture(tMarker, vInstance * float(uGroupCount) + group, uMarkerTexDim).a;\n            marker = floor(marker * 255.0 + 0.5); // rounding required to work on some cards on win\n        #endif\n\n        #include apply_marker_color\n        #include apply_fog\n        #include wboit_write\n    #endif\n}\n",{drawBuffers:"optional"});function qp(A,e){switch(e){case"b":case"b[]":return A.BOOL;case"f":case"f[]":return A.FLOAT;case"i":case"i[]":return A.INT;case"v2":case"v2[]":return A.FLOAT_VEC2;case"v3":case"v3[]":return A.FLOAT_VEC3;case"v4":case"v4[]":return A.FLOAT_VEC4;case"m3":case"m3[]":return A.FLOAT_MAT3;case"m4":case"m4[]":return A.FLOAT_MAT4;default:console.error("unknown uniform kind '".concat(e,"'"))}}function Zp(A,e,t){A.uniform1f(e,t)}function Wp(A,e,t){A.uniform1fv(e,t)}function Xp(A,e,t){A.uniform1i(e,t)}function $p(A,e,t){A.uniform1iv(e,t)}function Am(A,e,t){A.uniform2fv(e,t)}function em(A,e,t){A.uniform3fv(e,t)}function tm(A,e,t){A.uniform4fv(e,t)}function 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a=Ki.createSimple(r,n,o),s=w(w({},ir.getDefaultValues(A.Params)),t);return i(e,a.transform,a.locationIterator,a.theme,s)},updateValues:function(A,e){Ki.updateValues(A,e),Y.updateIfChanged(A.uSizeFactor,e.sizeFactor),Y.updateIfChanged(A.dPointSizeAttenuation,e.pointSizeAttenuation),Y.updateIfChanged(A.dPointStyle,e.pointStyle)},updateBoundingSphere:function(A,e){var t=Ss.clone(e.boundingSphere),r=XC(t,A.aTransform.ref.value,A.instanceCount.ref.value);Ss.equals(r,A.boundingSphere.ref.value)||Y.update(A.boundingSphere,r),Ss.equals(t,A.invariantBoundingSphere.ref.value)||(Y.update(A.invariantBoundingSphere,t),Y.update(A.uInvariantBoundingSphere,lA.fromSphere(A.uInvariantBoundingSphere.ref.value,t)))},createRenderableState:function(A){var e=Ki.createRenderableState(A);return o(e,A),e},updateRenderableState:o,createPositionIterator:n}}(Ay||(Ay={}));var iy,oy={},ay={fontFamily:ir.Select("sans-serif",[["sans-serif","Sans 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t=32*(e.fontQuality+1);this.buffer=t/8,this.radius=t/3,this.lineHeight=Math.round(t+2*this.buffer+this.radius),this.maxWidth=Math.round(.75*this.lineHeight),this.texture=OC(350*this.lineHeight*this.maxWidth,1,Uint8Array),this.scratchCanvas=document.createElement("canvas"),this.scratchCanvas.width=this.maxWidth,this.scratchCanvas.height=this.lineHeight,this.scratchContext=this.scratchCanvas.getContext("2d"),this.scratchContext.font="".concat(e.fontStyle," ").concat(e.fontVariant," ").concat(e.fontWeight," ").concat(t,"px ").concat(e.fontFamily),this.scratchContext.fillStyle="black",this.scratchContext.textBaseline="middle",this.scratchData=new Uint8Array(this.lineHeight*this.maxWidth),this.gridOuter=new Float64Array(this.lineHeight*this.maxWidth),this.gridInner=new Float64Array(this.lineHeight*this.maxWidth),this.f=new Float64Array(Math.max(this.lineHeight,this.maxWidth)),this.d=new Float64Array(Math.max(this.lineHeight,this.maxWidth)),this.z=new Float64Array(Math.max(this.lineHeight,this.maxWidth)+1),this.v=new Int16Array(Math.max(this.lineHeight,this.maxWidth)),this.middle=Math.ceil(this.lineHeight/2),this.placeholder=this.get(String.fromCharCode(65533))}return A.prototype.get=function(A){if(void 0===this.mapped[A]){this.draw(A);var e=this.texture,t=e.array,r=e.width,n=e.height,i=this.scratchData;if(this.currentX+this.scratchW>r&&(this.currentX=0,this.currentY+=this.scratchH),this.currentY+this.scratchH>n)return console.warn("canvas to small"),this.placeholder;this.mapped[A]={x:this.currentX,y:this.currentY,w:this.scratchW,h:this.scratchH,nw:this.scratchW/this.lineHeight,nh:this.scratchH/this.lineHeight};for(var o=0;o<this.scratchH;++o)for(var a=0;a<this.scratchW;++a)t[r*(this.currentY+o)+this.currentX+a]=i[o*this.scratchW+a];this.currentX+=this.scratchW}return this.mapped[A]},A.prototype.draw=function(A){var e=this.lineHeight,t=this.scratchContext,r=this.scratchData,n=t.measureText(A),i=Math.min(this.maxWidth,Math.ceil(n.width+2*this.buffer)),o=i*e;t.clearRect(0,0,i,e),t.fillText(A,this.buffer,this.middle);for(var a=t.getImageData(0,0,i,e),s=0;s<o;s++){var u=a.data[4*s+3]/255;this.gridOuter[s]=1===u?0:0===u?Number.MAX_SAFE_INTEGER:Math.pow(Math.max(0,.5-u),2),this.gridInner[s]=1===u?Number.MAX_SAFE_INTEGER:0===u?0:Math.pow(Math.max(0,u-.5),2)}for(ry(this.gridOuter,i,e,this.f,this.d,this.v,this.z),ry(this.gridInner,i,e,this.f,this.d,this.v,this.z),s=0;s<o;s++){var g=this.gridOuter[s]-this.gridInner[s];r[s]=Math.max(0,Math.min(255,Math.round(255-255*(g/this.radius+this.cutoff))))}this.scratchW=i,this.scratchH=e},A}();function uy(A,e,t,r){for(var n=0,i=0,o=0,a=4*t;o<a;++o){var s=2*o,u=Math.abs(A[s]);u>n&&(n=u);var g=Math.abs(A[s+1]);g>n&&(n=g);var c=Math.abs(e[o]);c>i&&(i=c)}return Math.max(i,r+r*n)}!function(A){function e(A,e,t,n,i,o,a,s,u){return u?function(A,e,t,r,n,i,o,a,s){return s.charCount=a,Y.update(s.fontTexture,A),Y.update(s.centerBuffer,e),Y.update(s.mappingBuffer,t),Y.update(s.depthBuffer,r),Y.update(s.indexBuffer,n),Y.update(s.groupBuffer,i),Y.update(s.tcoordBuffer,o),s}(A,e,t,n,i,o,a,s,u):function(A,e,t,n,i,o,a,s){var u,g=Ss(),c=-1,B=-1,l={kind:"text",charCount:s,fontTexture:Y.create(A),centerBuffer:Y.create(e),mappingBuffer:Y.create(t),depthBuffer:Y.create(n),indexBuffer:Y.create(i),groupBuffer:Y.create(o),tcoordBuffer:Y.create(a),get boundingSphere(){var A=r(l);if(A!==c){var e=ZC(l.centerBuffer.ref.value,4*l.charCount,4);Ss.copy(g,e),c=A}return g},get groupMapping(){return l.groupBuffer.ref.version!==B&&(u=JC(l.groupBuffer.ref.value,l.charCount,4),B=l.groupBuffer.ref.version),u},setBoundingSphere:function(A){Ss.copy(g,A),c=r(l)}};return l}(A,e,t,n,i,o,a,s)}function t(A){return e(A?A.fontTexture.ref.value:OC(0,1,Uint8Array),A?A.centerBuffer.ref.value:new Float32Array(0),A?A.mappingBuffer.ref.value:new Float32Array(0),A?A.depthBuffer.ref.value:new Float32Array(0),A?A.indexBuffer.ref.value:new Uint32Array(0),A?A.groupBuffer.ref.value:new Float32Array(0),A?A.tcoordBuffer.ref.value:new Float32Array(0),0,A)}function r(A){return ae([A.charCount,A.fontTexture.ref.version,A.centerBuffer.ref.version,A.mappingBuffer.ref.version,A.depthBuffer.ref.version,A.indexBuffer.ref.version,A.groupBuffer.ref.version,A.tcoordBuffer.ref.version])}function n(A,e){var t=4*A.charCount,r=e.instanceCount.ref.value,n=gr(),i=n.position,o=A.centerBuffer.ref.value,a=e.aTransform.ref.value;return ur(t,r,4,(function(A,e){return e<0?gA.fromArray(i,o,3*A):gA.transformMat4Offset(i,o,a,0,3*A,16*e),n}))}function i(A,e,t,r,i){var o=t.instanceCount,a=t.groupCount,s=Jv(t,n(A,e),r.color),u=Cp(t,r.size),g=ep(o*a),c=jm(),B=Zm(),l=ty(),Q=Xm(),I={drawCount:2*A.charCount*3,vertexCount:4*A.charCount,groupCount:a,instanceCount:o},d=uy(A.mappingBuffer.ref.value,A.depthBuffer.ref.value,A.charCount,mp(u)),h=Ss.expand(Ss(),A.boundingSphere,d),E=XC(h,e.aTransform.ref.value,o);return w(w(w(w(w(w(w(w(w(w(w({aPosition:A.centerBuffer,aMapping:A.mappingBuffer,aDepth:A.depthBuffer,aGroup:A.groupBuffer,elements:A.indexBuffer,boundingSphere:Y.create(E),invariantBoundingSphere:Y.create(h),uInvariantBoundingSphere:Y.create(lA.ofSphere(h))},s),u),g),c),B),l),Q),e),{aTexCoord:A.tcoordBuffer,tFont:A.fontTexture,padding:Y.create(d)}),Ki.createValues(i,I)),{uSizeFactor:Y.create(i.sizeFactor),uBorderWidth:Y.create(iA(i.borderWidth,0,.5)),uBorderColor:Y.create(SA.toArrayNormalized(i.borderColor,gA.zero(),0)),uOffsetX:Y.create(i.offsetX),uOffsetY:Y.create(i.offsetY),uOffsetZ:Y.create(i.offsetZ),uBackgroundColor:Y.create(SA.toArrayNormalized(i.backgroundColor,gA.zero(),0)),uBackgroundOpacity:Y.create(i.backgroundOpacity)})}function o(A,e){Ki.updateRenderableState(A,e),A.pickable=!1,A.opaque=!1,A.writeDepth=!0}A.create=e,A.createEmpty=t,A.Params=w(w(w({},Ki.Params),ay),{sizeFactor:ir.Numeric(1,{min:0,max:10,step:.1}),borderWidth:ir.Numeric(0,{min:0,max:.5,step:.01}),borderColor:ir.Color(Rr.grey),offsetX:ir.Numeric(0,{min:0,max:10,step:.1}),offsetY:ir.Numeric(0,{min:0,max:10,step:.1}),offsetZ:ir.Numeric(0,{min:0,max:10,step:.1}),background:ir.Boolean(!1),backgroundMargin:ir.Numeric(.2,{min:0,max:1,step:.01}),backgroundColor:ir.Color(Rr.grey),backgroundOpacity:ir.Numeric(1,{min:0,max:1,step:.01}),tether:ir.Boolean(!1),tetherLength:ir.Numeric(1,{min:0,max:5,step:.1}),tetherBaseWidth:ir.Numeric(.3,{min:0,max:1,step:.01}),attachment:ir.Select("middle-center",[["bottom-left","bottom-left"],["bottom-center","bottom-center"],["bottom-right","bottom-right"],["middle-left","middle-left"],["middle-center","middle-center"],["middle-right","middle-right"],["top-left","top-left"],["top-center","top-center"],["top-right","top-right"]])}),A.Utils={Params:A.Params,createEmpty:t,createValues:i,createValuesSimple:function(e,t,r,n,o){var a=Ki.createSimple(r,n,o),s=w(w({},ir.getDefaultValues(A.Params)),t);return i(e,a.transform,a.locationIterator,a.theme,s)},updateValues:function(A,e){Ki.updateValues(A,e),Y.updateIfChanged(A.uSizeFactor,e.sizeFactor),Y.updateIfChanged(A.uBorderWidth,e.borderWidth),SA.fromNormalizedArray(A.uBorderColor.ref.value,0)!==e.borderColor&&(SA.toArrayNormalized(e.borderColor,A.uBorderColor.ref.value,0),Y.update(A.uBorderColor,A.uBorderColor.ref.value)),Y.updateIfChanged(A.uOffsetX,e.offsetX),Y.updateIfChanged(A.uOffsetY,e.offsetY),Y.updateIfChanged(A.uOffsetZ,e.offsetZ),SA.fromNormalizedArray(A.uBackgroundColor.ref.value,0)!==e.backgroundColor&&(SA.toArrayNormalized(e.backgroundColor,A.uBackgroundColor.ref.value,0),Y.update(A.uBackgroundColor,A.uBackgroundColor.ref.value)),Y.updateIfChanged(A.uBackgroundOpacity,e.backgroundOpacity)},updateBoundingSphere:function(A,e){var t=uy(A.aMapping.ref.value,A.aDepth.ref.value,e.charCount,mp(A)),r=Ss.expand(Ss(),e.boundingSphere,t),n=XC(r,A.aTransform.ref.value,A.instanceCount.ref.value);Ss.equals(n,A.boundingSphere.ref.value)||Y.update(A.boundingSphere,n),Ss.equals(r,A.invariantBoundingSphere.ref.value)||(Y.update(A.invariantBoundingSphere,r),Y.update(A.uInvariantBoundingSphere,lA.fromSphere(A.uInvariantBoundingSphere.ref.value,r))),Y.update(A.padding,t)},createRenderableState:function(A){var e=Ki.createRenderableState(A);return o(e,A),e},updateRenderableState:o,createPositionIterator:n}}(iy||(iy={}));var gy,cy,By=gA(),ly=gA(),Qy=gA(),Iy=HA.add,dy=HA.add3;!function(A){A.create=function(A,e,t){void 0===A&&(A=2048),void 0===e&&(e=1024);var r=HA.create(Float32Array,1,e,t?t.groupBuffer.ref.value:A),n=HA.create(Float32Array,3,e,t?t.startBuffer.ref.value:A),i=HA.create(Float32Array,3,e,t?t.endBuffer.ref.value:A),o=function(A,e,t,o,a,s,u){for(var g=0;g<4;++g)dy(n,A,e,t),dy(i,o,a,s),Iy(r,u)},a=function(A,e,t,r){var n=gA.distance(A,e),i=Math.floor(t/2),a=1/t;gA.sub(Qy,e,A);for(var s=0;s<i;++s){var u=a*(2*s+1);gA.setMagnitude(Qy,Qy,n*u),gA.add(By,A,Qy),gA.setMagnitude(Qy,Qy,n*a*(2*(s+1))),gA.add(ly,A,Qy),o(By[0],By[1],By[2],ly[0],ly[1],ly[2],r)}};return{add:o,addVec:function(A,e,t){for(var o=0;o<4;++o)dy(n,A[0],A[1],A[2]),dy(i,e[0],e[1],e[2]),Iy(r,t)},addFixedCountDashes:a,addFixedLengthDashes:function(A,e,t,r){var n=gA.distance(A,e);a(A,e,n/t,r)},addCage:function(A,e,t){for(var r=e.vertices,n=e.edges,i=0,a=n.length;i<a;i+=2)gA.fromArray(By,r,3*n[i]),gA.fromArray(ly,r,3*n[i+1]),gA.transformMat4(By,By,A),gA.transformMat4(ly,ly,A),o(By[0],By[1],By[2],ly[0],ly[1],ly[2],t)},getLines:function(){var A=r.elementCount/4,e=HA.compact(r,!0),o=HA.compact(n,!0),a=HA.compact(i,!0),s=t&&A<=t.lineCount?t.mappingBuffer.ref.value:new Float32Array(8*A),u=t&&A<=t.lineCount?t.indexBuffer.ref.value:new Uint32Array(6*A);return(!t||A>t.lineCount)&&function(A,e,t){for(var r=0;r<A;++r){var n=8*r;e[n]=-1,e[n+1]=-1,e[n+2]=1,e[n+3]=-1,e[n+4]=-1,e[n+5]=1,e[n+6]=1,e[n+7]=1}for(r=0;r<A;++r){var i=4*r,o=6*r;t[o]=i,t[o+1]=i+1,t[o+2]=i+2,t[o+3]=i+1,t[o+4]=i+3,t[o+5]=i+2}}(A,s,u),cy.create(s,u,e,o,a,A,t)}}}}(gy||(gy={})),function(A){function e(A,e,t,n,i,o,a){return a?function(A,e,t,r,n,i,o){return i>o.lineCount&&(Y.update(o.mappingBuffer,A),Y.update(o.indexBuffer,e)),o.lineCount=i,Y.update(o.groupBuffer,t),Y.update(o.startBuffer,r),Y.update(o.endBuffer,n),o}(A,e,t,n,i,o,a):function(A,e,t,n,i,o){var a,s=Ss(),u=-1,g=-1,c={kind:"lines",lineCount:o,mappingBuffer:Y.create(A),indexBuffer:Y.create(e),groupBuffer:Y.create(t),startBuffer:Y.create(n),endBuffer:Y.create(i),get boundingSphere(){var A=r(c);if(A!==u){var e=ZC(c.startBuffer.ref.value,4*c.lineCount,4),t=ZC(c.endBuffer.ref.value,4*c.lineCount,4);Ss.expandBySphere(s,e,t),u=A}return s},get groupMapping(){return 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Gy.getBoundingSphere(A.grid,e)},(e=A.Isosurface||(A.Isosurface={})).Loci=function(A,e){return{kind:"isosurface-loci",volume:A,isoValue:e}},e.isLoci=function(A){return!!A&&"isosurface-loci"===A.kind},e.areLociEqual=function(e,t){return e.volume===t.volume&&A.IsoValue.areSame(e.isoValue,t.isoValue,e.volume.grid.stats)},e.isLociEmpty=function(A){return 0===A.volume.grid.cells.data.length},e.getBoundingSphere=function(e,t,r){return A.getBoundingSphere(e,r)},function(A){A.Loci=function(A,e){return{kind:"cell-loci",volume:A,indices:e}},A.isLoci=function(A){return!!A&&"cell-loci"===A.kind},A.areLociEqual=function(A,e){return A.volume===e.volume&&Tn.areEqual(A.indices,e.indices)},A.isLociEmpty=function(A){return 0===Tn.size(A.indices)};var e=new SB("98"),t=gA();A.getBoundingSphere=function(A,r,n){e.reset();for(var 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Y.update(s.gridDimension,e),Y.update(s.gridTexture,i),Y.update(s.gridTextureDim,gA.set(s.gridTextureDim.ref.value,u,g,c)),Y.update(s.gridStats,lA.set(s.gridStats.ref.value,o.min,o.max,o.mean,o.sigma)),Y.update(s.bboxMin,A.min),Y.update(s.bboxMax,A.max),Y.update(s.bboxSize,gA.sub(s.bboxSize.ref.value,A.max,A.min)),Y.update(s.transform,t),Y.update(s.cellDim,n),Y.update(s.unitToCartn,r),Y.update(s.cartnToUnit,nA.invert(nA(),r)),Y.updateIfChanged(s.packedGroup,a),s}(A,e,r,n,i,o,a,s,u):function(A,e,r,n,i,o,a,s){var u=Ss(),g=-1,c=o.getWidth(),B=o.getHeight(),l=o.getDepth(),Q={kind:"direct-volume",gridDimension:Y.create(e),gridTexture:Y.create(o),gridTextureDim:Y.create(gA.create(c,B,l)),gridStats:Y.create(lA.create(a.min,a.max,a.mean,a.sigma)),bboxMin:Y.create(A.min),bboxMax:Y.create(A.max),bboxSize:Y.create(gA.sub(gA(),A.max,A.min)),transform:Y.create(r),cellDim:Y.create(i),unitToCartn:Y.create(n),cartnToUnit:Y.create(nA.invert(nA(),n)),get boundingSphere(){var A=t(Q);if(A!==g){var e=function(A,e){return Ss.fromDimensionsAndTransform(Ss(),A,e)}(Q.gridDimension.ref.value,Q.transform.ref.value);Ss.copy(u,e),g=A}return u},packedGroup:Y.create(s),setBoundingSphere:function(A){Ss.copy(u,A),g=t(Q)}};return Q}(A,e,r,n,i,o,a,s)}function t(A){return ae([A.bboxSize.ref.version,A.gridDimension.ref.version,A.gridTexture.ref.version,A.transform.ref.version,A.gridStats.ref.version])}function r(A){return e(Ns(),gA(),nA.identity(),nA.identity(),gA(),Jm(),Gy.One.stats,!1,A)}function n(A){var e=A?Ly.createIsoValueParam(Ly.IsoValue.relative(2),A):Ly.IsoValueParam;return ir.MappedStatic("volume",{isosurface:ir.Group({isoValue:e,singleLayer:ir.Boolean(!1,{isEssential:!0})},{isFlat:!0}),volume:ir.Group({controlPoints:ir.LineGraph([BA.create(.19,0),BA.create(.2,.05),BA.create(.25,.05),BA.create(.26,0),BA.create(.79,0),BA.create(.8,.05),BA.create(.85,.05),BA.create(.86,0)]),list:ir.ColorList({kind:"interpolate",colors:[[Rr.white,0],[Rr.red,.25],[Rr.white,.5],[Rr.blue,.75],[Rr.white,1]]},{offsets:!0})},{isFlat:!0})},{isEssential:!0})}function i(A,e,t){var r=t[0],n=t[1],i=t[2],o=t[3],a=Ly.IsoValue.toAbsolute(e,{min:r,max:n,mean:i,sigma:o}).absoluteValue;return BA.set(A,(a-r)/(n-r),(0-r)/(n-r)),A}function o(A,e){return Math.ceil(gA.magnitude(A)*e)}function a(A,e){return Math.min.apply(Math,A)*(1/e)}function s(A){return 1/A}function u(e,t,r,n,u){var g=e.gridTexture,c=e.gridTextureDim,B=e.gridStats,l=e.bboxSize,Q=e.bboxMin,I=e.bboxMax,d=e.gridDimension,h=e.transform,E=r.instanceCount,f=r.groupCount,C=Jv(r,A.Utils.createPositionIterator(e,t),n.color),p=ep(E*f),m=jm(),y=Zm(),v=ty(),D=Xm(),b=d.ref.value,F=b[0],U=b[1],S=b[2],N={drawCount:Xy.indices.length,vertexCount:F*U*S,groupCount:f,instanceCount:E},R=Ss.clone(e.boundingSphere),H=XC(R,t.aTransform.ref.value,E),G=Ky("volume"===u.renderMode.name?Oy(u.renderMode.params.controlPoints):[],"volume"===u.renderMode.name?u.renderMode.params.list.colors:[]),M="isosurface"===u.renderMode.name?u.renderMode.params.isoValue:Ly.IsoValue.relative(2),L="isosurface"===u.renderMode.name&&u.renderMode.params.singleLayer;return w(w(w(w(w(w(w(w(w({},C),p),m),y),v),D),t),Ki.createValues(u,N)),{aPosition:Y.create(Xy.vertices),elements:Y.create(Xy.indices),boundingSphere:Y.create(H),invariantBoundingSphere:Y.create(R),uInvariantBoundingSphere:Y.create(lA.ofSphere(R)),uIsoValue:Y.create(i(BA(),M,e.gridStats.ref.value)),uBboxMin:Q,uBboxMax:I,uBboxSize:l,uMaxSteps:Y.create(o(d.ref.value,u.stepsPerCell)),uStepScale:Y.create(a(e.cellDim.ref.value,u.stepsPerCell)),uJumpLength:Y.create(u.jumpLength),uTransform:h,uGridDim:d,dRenderMode:Y.create(u.renderMode.name),tTransferTex:G,uTransferScale:Y.create(s(u.stepsPerCell)),dGridTexType:Y.create(g.ref.value.getDepth()>0?"3d":"2d"),uGridTexDim:c,tGridTex:g,uGridStats:B,uCellDim:e.cellDim,uCartnToUnit:e.cartnToUnit,uUnitToCartn:e.unitToCartn,dPackedGroup:e.packedGroup,dSingleLayer:Y.create(L),dDoubleSided:Y.create(u.doubleSided),dFlatShaded:Y.create(u.flatShaded),dFlipSided:Y.create(u.flipSided),dIgnoreLight:Y.create(u.ignoreLight),dXrayShaded:Y.create(u.xrayShaded)})}A.create=e,A.createEmpty=r,A.createRenderModeParam=n,A.Params=w(w({},Ki.Params),{doubleSided:ir.Boolean(!1,Ki.CustomQualityParamInfo),flipSided:ir.Boolean(!1,Ki.ShadingCategory),flatShaded:ir.Boolean(!1,Ki.ShadingCategory),ignoreLight:ir.Boolean(!1,Ki.ShadingCategory),xrayShaded:ir.Boolean(!1,Ki.ShadingCategory),renderMode:n(),stepsPerCell:ir.Numeric(5,{min:1,max:20,step:1}),jumpLength:ir.Numeric(0,{min:0,max:20,step:.1})}),A.Utils={Params:A.Params,createEmpty:r,createValues:u,createValuesSimple:function(e,t,r,n,i){var o=Ki.createSimple(r,n,i),a=w(w({},ir.getDefaultValues(A.Params)),t);return u(e,o.transform,o.locationIterator,o.theme,a)},updateValues:function(A,e){Ki.updateValues(A,e),Y.updateIfChanged(A.dDoubleSided,e.doubleSided),Y.updateIfChanged(A.dFlatShaded,e.flatShaded),Y.updateIfChanged(A.dFlipSided,e.flipSided),Y.updateIfChanged(A.dIgnoreLight,e.ignoreLight),Y.updateIfChanged(A.dXrayShaded,e.xrayShaded),Y.updateIfChanged(A.dRenderMode,e.renderMode.name),"isosurface"===e.renderMode.name?(Y.updateIfChanged(A.uIsoValue,i(A.uIsoValue.ref.value,e.renderMode.params.isoValue,A.uGridStats.ref.value)),Y.updateIfChanged(A.dSingleLayer,e.renderMode.params.singleLayer)):"volume"===e.renderMode.name&&Ky(Oy(e.renderMode.params.controlPoints),e.renderMode.params.list.colors,A.tTransferTex),Y.updateIfChanged(A.uMaxSteps,o(A.uGridDim.ref.value,e.stepsPerCell)),Y.updateIfChanged(A.uStepScale,a(A.uCellDim.ref.value,e.stepsPerCell)),Y.updateIfChanged(A.uTransferScale,s(e.stepsPerCell)),Y.updateIfChanged(A.uJumpLength,e.jumpLength)},updateBoundingSphere:function(A,e){var t=Ss.clone(e.boundingSphere),r=XC(t,A.aTransform.ref.value,A.instanceCount.ref.value);Ss.equals(r,A.boundingSphere.ref.value)||Y.update(A.boundingSphere,r),Ss.equals(t,A.invariantBoundingSphere.ref.value)||(Y.update(A.invariantBoundingSphere,t),Y.update(A.uInvariantBoundingSphere,lA.fromSphere(A.uInvariantBoundingSphere.ref.value,t)))},createRenderableState:function(A){var e=Ki.createRenderableState(A);return e.opaque=!1,e.writeDepth="isosurface"===A.renderMode.name,e},updateRenderableState:function(A,e){Ki.updateRenderableState(A,e),A.opaque=!1,A.writeDepth="isosurface"===e.renderMode.name},createPositionIterator:function(A,e){var t=A.transform.ref.value,r=A.gridDimension.ref.value,n=r[0],i=r[1],o=r[2],a=n*i*o,s=e.instanceCount.ref.value,u=gr(),g=u.position,c=e.aTransform.ref.value;return ur(a,s,1,(function(A,e){var r=Math.floor(A/o);return g[0]=Math.floor(r/i),g[1]=r%i,g[2]=A%o,gA.transformMat4(g,g,t),e>=0&&gA.transformMat4Offset(g,g,c,0,0,16*e),u}))}}}(qy||(qy={})),function(A){function e(A,e,t,n,i,o){return o?function(A,e,t,r,n,i){return n>i.sphereCount&&(Y.update(i.mappingBuffer,e),Y.update(i.indexBuffer,t)),i.sphereCount=n,Y.update(i.centerBuffer,A),Y.update(i.groupBuffer,r),i}(A,e,t,n,i,o):function(A,e,t,n,i){var o,a=Ss(),s=-1,u=-1,g={kind:"spheres",sphereCount:i,centerBuffer:Y.create(A),mappingBuffer:Y.create(e),indexBuffer:Y.create(t),groupBuffer:Y.create(n),get boundingSphere(){var A=r(g);if(A!==s){var e=ZC(g.centerBuffer.ref.value,4*g.sphereCount,4);Ss.copy(a,e),s=A}return a},get groupMapping(){return g.groupBuffer.ref.version!==u&&(o=JC(g.groupBuffer.ref.value,g.sphereCount,4),u=g.groupBuffer.ref.version),o},setBoundingSphere:function(A){Ss.copy(a,A),s=r(g)}};return g}(A,e,t,n,i)}function t(A){return e(A?A.centerBuffer.ref.value:new Float32Array(0),A?A.mappingBuffer.ref.value:new Float32Array(0),A?A.indexBuffer.ref.value:new Uint32Array(0),A?A.groupBuffer.ref.value:new Float32Array(0),0,A)}function r(A){return ae([A.sphereCount,A.centerBuffer.ref.version,A.mappingBuffer.ref.version,A.indexBuffer.ref.version,A.groupBuffer.ref.version])}function n(A,e){var t=4*A.sphereCount,r=e.instanceCount.ref.value,n=gr(),i=n.position,o=A.centerBuffer.ref.value,a=e.aTransform.ref.value;return ur(t,r,4,(function(A,e){return e<0?gA.fromArray(i,o,3*A):gA.transformMat4Offset(i,o,a,0,3*A,16*e),n}))}function i(A,e,t,r,i){var o=t.instanceCount,a=t.groupCount,s=Jv(t,n(A,e),r.color),u=Cp(t,r.size),g=ep(o*a),c=jm(),B=Zm(),l=ty(),Q=Xm(),I={drawCount:2*A.sphereCount*3,vertexCount:4*A.sphereCount,groupCount:a,instanceCount:o},d=A.boundingSphere.radius?mp(u)*i.sizeFactor:0,h=Ss.expand(Ss(),A.boundingSphere,d),E=XC(h,e.aTransform.ref.value,o);return w(w(w(w(w(w(w(w(w(w(w({aPosition:A.centerBuffer,aMapping:A.mappingBuffer,aGroup:A.groupBuffer,elements:A.indexBuffer,boundingSphere:Y.create(E),invariantBoundingSphere:Y.create(h),uInvariantBoundingSphere:Y.create(lA.ofSphere(h))},s),u),g),c),B),l),Q),e),{padding:Y.create(d)}),Ki.createValues(i,I)),{uSizeFactor:Y.create(i.sizeFactor),dDoubleSided:Y.create(i.doubleSided),dIgnoreLight:Y.create(i.ignoreLight),dXrayShaded:Y.create(i.xrayShaded),uBumpFrequency:Y.create(i.bumpFrequency),uBumpAmplitude:Y.create(i.bumpAmplitude)})}function o(A,e){Ki.updateRenderableState(A,e),A.opaque=A.opaque&&!e.xrayShaded,A.writeDepth=A.opaque}A.create=e,A.createEmpty=t,A.Params=w(w({},Ki.Params),{sizeFactor:ir.Numeric(1,{min:0,max:10,step:.1}),doubleSided:ir.Boolean(!1,Ki.CustomQualityParamInfo),ignoreLight:ir.Boolean(!1,Ki.ShadingCategory),xrayShaded:ir.Boolean(!1,Ki.ShadingCategory),bumpFrequency:ir.Numeric(0,{min:0,max:10,step:.1},Ki.ShadingCategory),bumpAmplitude:ir.Numeric(1,{min:0,max:5,step:.1},Ki.ShadingCategory)}),A.Utils={Params:A.Params,createEmpty:t,createValues:i,createValuesSimple:function(e,t,r,n,o){var a=Ki.createSimple(r,n,o),s=w(w({},ir.getDefaultValues(A.Params)),t);return i(e,a.transform,a.locationIterator,a.theme,s)},updateValues:function(A,e){Ki.updateValues(A,e),Y.updateIfChanged(A.uSizeFactor,e.sizeFactor),Y.updateIfChanged(A.dDoubleSided,e.doubleSided),Y.updateIfChanged(A.dIgnoreLight,e.ignoreLight),Y.updateIfChanged(A.dXrayShaded,e.xrayShaded),Y.updateIfChanged(A.uBumpFrequency,e.bumpFrequency),Y.updateIfChanged(A.uBumpAmplitude,e.bumpAmplitude)},updateBoundingSphere:function(A,e){var t=e.boundingSphere.radius?mp(A)*A.uSizeFactor.ref.value:0,r=Ss.expand(Ss(),e.boundingSphere,t),n=XC(r,A.aTransform.ref.value,A.instanceCount.ref.value);Ss.equals(n,A.boundingSphere.ref.value)||Y.update(A.boundingSphere,n),Ss.equals(r,A.invariantBoundingSphere.ref.value)||(Y.update(A.invariantBoundingSphere,r),Y.update(A.uInvariantBoundingSphere,lA.fromSphere(A.uInvariantBoundingSphere.ref.value,r))),Y.update(A.padding,t)},createRenderableState:function(A){var e=Ki.createRenderableState(A);return o(e,A),e},updateRenderableState:o,createPositionIterator:n}}(Zy||(Zy={})),function(A){var e=function(){function A(){this.index=0,this.textures=[]}return A.prototype.get=function(){return this.textures[this.index]},A.prototype.set=function(A,e,t){this.textures[this.index]=Object.assign(this.textures[this.index]||{},{vertex:A,group:e,normal:t}),this.index=(this.index+1)%2},A.prototype.destroy=function(){for(var A=0,e=this.textures;A<e.length;A++){var t=e[A];t.vertex.destroy(),t.group.destroy(),t.normal.destroy()}},A}();function t(A,t,r,n,i,o,a){var s=r.getWidth(),u=r.getHeight();return a?(a.vertexCount=A,a.groupCount=t,Y.update(a.geoTextureDim,BA.set(a.geoTextureDim.ref.value,s,u)),Y.update(a.vertexTexture,r),Y.update(a.groupTexture,n),Y.update(a.normalTexture,i),a.doubleBuffer.set(r,n,i),Ss.copy(a.boundingSphere,o),a):{kind:"texture-mesh",vertexCount:A,groupCount:t,geoTextureDim:Y.create(BA.create(s,u)),vertexTexture:Y.create(r),groupTexture:Y.create(n),normalTexture:Y.create(i),doubleBuffer:new e,boundingSphere:Ss.clone(o),meta:{}}}function r(A){return t(0,0,A?A.vertexTexture.ref.value:Jm(),A?A.groupTexture.ref.value:Jm(),A?A.normalTexture.ref.value:Jm(),A?A.boundingSphere:Ss(),A)}function n(e,t,r,n,i){var o=r.instanceCount,a=r.groupCount,s=Jv(r,A.Utils.createPositionIterator(e,t),n.color),u=ep(o*a),g=jm(),c=Zm(),B=ty(),l=Xm(),Q={drawCount:e.vertexCount,vertexCount:e.vertexCount,groupCount:a,instanceCount:o},I=Ss.clone(e.boundingSphere),d=XC(I,t.aTransform.ref.value,o);return w(w(w(w(w(w(w(w(w({uGeoTexDim:e.geoTextureDim,tPosition:e.vertexTexture,tGroup:e.groupTexture,tNormal:e.normalTexture,boundingSphere:Y.create(d),invariantBoundingSphere:Y.create(I),uInvariantBoundingSphere:Y.create(lA.ofSphere(I))},s),u),g),c),B),l),t),Ki.createValues(i,Q)),{dDoubleSided:Y.create(i.doubleSided),dFlatShaded:Y.create(i.flatShaded),dFlipSided:Y.create(i.flipSided),dIgnoreLight:Y.create(i.ignoreLight),dXrayShaded:Y.create(i.xrayShaded),uBumpFrequency:Y.create(i.bumpFrequency),uBumpAmplitude:Y.create(i.bumpAmplitude),dGeoTexture:Y.create(!0),meta:Y.create(e.meta)})}A.DoubleBuffer=e,A.create=t,A.createEmpty=r,A.Params=w(w({},Ki.Params),{doubleSided:ir.Boolean(!1,Ki.CustomQualityParamInfo),flipSided:ir.Boolean(!1,Ki.ShadingCategory),flatShaded:ir.Boolean(!1,Ki.ShadingCategory),ignoreLight:ir.Boolean(!1,Ki.ShadingCategory),xrayShaded:ir.Boolean(!1,Ki.ShadingCategory),bumpFrequency:ir.Numeric(0,{min:0,max:10,step:.1},Ki.ShadingCategory),bumpAmplitude:ir.Numeric(1,{min:0,max:5,step:.1},Ki.ShadingCategory)}),A.Utils={Params:A.Params,createEmpty:r,createValues:n,createValuesSimple:function(e,t,r,i,o){var a=Ki.createSimple(r,i,o),s=w(w({},ir.getDefaultValues(A.Params)),t);return n(e,a.transform,a.locationIterator,a.theme,s)},updateValues:function(A,e){Ki.updateValues(A,e),Y.updateIfChanged(A.dDoubleSided,e.doubleSided),Y.updateIfChanged(A.dFlatShaded,e.flatShaded),Y.updateIfChanged(A.dFlipSided,e.flipSided),Y.updateIfChanged(A.dIgnoreLight,e.ignoreLight),Y.updateIfChanged(A.dXrayShaded,e.xrayShaded),Y.updateIfChanged(A.uBumpFrequency,e.bumpFrequency),Y.updateIfChanged(A.uBumpAmplitude,e.bumpAmplitude)},updateBoundingSphere:function(A,e){var t=Ss.clone(e.boundingSphere),r=XC(t,A.aTransform.ref.value,A.instanceCount.ref.value);Ss.equals(r,A.boundingSphere.ref.value)||Y.update(A.boundingSphere,r),Ss.equals(t,A.invariantBoundingSphere.ref.value)||(Y.update(A.invariantBoundingSphere,t),Y.update(A.uInvariantBoundingSphere,lA.fromSphere(A.uInvariantBoundingSphere.ref.value,t)))},createRenderableState:Ki.createRenderableState,updateRenderableState:Ki.updateRenderableState,createPositionIterator:function(){return ur(1,1,1,(function(){return ar}))}}}(Wy||(Wy={}));var 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r(e,a.transform,a.locationIterator,a.theme,s)},updateValues:function(A,e){Ki.updateValues(A,e),Y.updateIfChanged(A.dInterpolation,e.interpolation)},updateBoundingSphere:function(A,e){var t=Ss.clone(e.boundingSphere),r=XC(t,A.aTransform.ref.value,A.instanceCount.ref.value);Ss.equals(r,A.boundingSphere.ref.value)||Y.update(A.boundingSphere,r),Ss.equals(t,A.invariantBoundingSphere.ref.value)||(Y.update(A.invariantBoundingSphere,t),Y.update(A.uInvariantBoundingSphere,lA.fromSphere(A.uInvariantBoundingSphere.ref.value,t)))},createRenderableState:function(A){var e=Ki.createRenderableState(A);return e.opaque=!1,e},updateRenderableState:function(A,e){Ki.updateRenderableState(A,e),A.opaque=!1},createPositionIterator:function(){return ur(1,1,1,(function(){return ar}))}}}(Lv||(Lv={})),function(A){function e(A,e,t,n,i,o,a,s,u){return u?function(A,e,t,r,n,i,o,a,s){return a>s.cylinderCount&&(Y.update(s.mappingBuffer,A),Y.update(s.indexBuffer,e)),s.cylinderCount=a,Y.update(s.groupBuffer,t),Y.update(s.startBuffer,r),Y.update(s.endBuffer,n),Y.update(s.scaleBuffer,i),Y.update(s.capBuffer,o),s}(A,e,t,n,i,o,a,s,u):function(A,e,t,n,i,o,a,s){var u,g=Ss(),c=-1,B=-1,l={kind:"cylinders",cylinderCount:s,mappingBuffer:Y.create(A),indexBuffer:Y.create(e),groupBuffer:Y.create(t),startBuffer:Y.create(n),endBuffer:Y.create(i),scaleBuffer:Y.create(o),capBuffer:Y.create(a),get boundingSphere(){var A=r(l);if(A!==c){var e=ZC(l.startBuffer.ref.value,6*l.cylinderCount,6),t=ZC(l.endBuffer.ref.value,6*l.cylinderCount,6);Ss.expandBySphere(g,e,t),c=A}return g},get groupMapping(){return l.groupBuffer.ref.version!==B&&(u=JC(l.groupBuffer.ref.value,l.cylinderCount,6),B=l.groupBuffer.ref.version),u},setBoundingSphere:function(A){Ss.copy(g,A),c=r(l)}};return l}(A,e,t,n,i,o,a,s)}function t(A){return e(A?A.mappingBuffer.ref.value:new Float32Array(0),A?A.indexBuffer.ref.value:new Uint32Array(0),A?A.groupBuffer.ref.value:new Float32Array(0),A?A.startBuffer.ref.value:new Float32Array(0),A?A.endBuffer.ref.value:new Float32Array(0),A?A.scaleBuffer.ref.value:new Float32Array(0),A?A.capBuffer.ref.value:new Float32Array(0),0,A)}function r(A){return ae([A.cylinderCount,A.mappingBuffer.ref.version,A.indexBuffer.ref.version,A.groupBuffer.ref.version,A.startBuffer.ref.version,A.endBuffer.ref.version,A.scaleBuffer.ref.version,A.capBuffer.ref.version])}function n(A,e){var t=6*A.cylinderCount,r=e.instanceCount.ref.value,n=gr(),i=n.position,o=A.startBuffer.ref.value,a=A.endBuffer.ref.value,s=e.aTransform.ref.value;return ur(t,r,2,(function(A,e){var t=A%6==0?o:a;return e<0?gA.fromArray(i,t,3*A):gA.transformMat4Offset(i,t,s,0,3*A,16*e),n}))}function i(A,e,t,r,i){var o=t.instanceCount,a=t.groupCount,s=Jv(t,n(A,e),r.color),u=Cp(t,r.size),g=ep(o*a),c=jm(),B=Zm(),l=ty(),Q=Xm(),I={drawCount:4*A.cylinderCount*3,vertexCount:6*A.cylinderCount,groupCount:a,instanceCount:o},d=mp(u)*i.sizeFactor,h=Ss.clone(A.boundingSphere),E=XC(h,e.aTransform.ref.value,o);return w(w(w(w(w(w(w(w(w(w(w({aMapping:A.mappingBuffer,aGroup:A.groupBuffer,aStart:A.startBuffer,aEnd:A.endBuffer,aScale:A.scaleBuffer,aCap:A.capBuffer,elements:A.indexBuffer,boundingSphere:Y.create(E),invariantBoundingSphere:Y.create(h),uInvariantBoundingSphere:Y.create(lA.ofSphere(h))},s),u),g),c),B),l),Q),e),{padding:Y.create(d)}),Ki.createValues(i,I)),{uSizeFactor:Y.create(i.sizeFactor*i.sizeAspectRatio),dDoubleSided:Y.create(i.doubleSided),dIgnoreLight:Y.create(i.ignoreLight),dXrayShaded:Y.create(i.xrayShaded),uBumpFrequency:Y.create(i.bumpFrequency),uBumpAmplitude:Y.create(i.bumpAmplitude)})}function o(A,e){Ki.updateRenderableState(A,e),A.opaque=A.opaque&&!e.xrayShaded,A.writeDepth=A.opaque}A.create=e,A.createEmpty=t,A.transform=function(A,e){var t=A.startBuffer.ref.value;xC(e,t,0,6*A.cylinderCount),Y.update(A.startBuffer,t);var r=A.endBuffer.ref.value;xC(e,r,0,6*A.cylinderCount),Y.update(A.endBuffer,r)},A.Params=w(w({},Ki.Params),{sizeFactor:ir.Numeric(1,{min:0,max:10,step:.1}),sizeAspectRatio:ir.Numeric(1,{min:0,max:3,step:.01}),doubleSided:ir.Boolean(!1,Ki.CustomQualityParamInfo),ignoreLight:ir.Boolean(!1,Ki.ShadingCategory),xrayShaded:ir.Boolean(!1,Ki.ShadingCategory),bumpFrequency:ir.Numeric(0,{min:0,max:10,step:.1},Ki.ShadingCategory),bumpAmplitude:ir.Numeric(1,{min:0,max:5,step:.1},Ki.ShadingCategory)}),A.Utils={Params:A.Params,createEmpty:t,createValues:i,createValuesSimple:function(e,t,r,n,o){var a=Ki.createSimple(r,n,o),s=w(w({},ir.getDefaultValues(A.Params)),t);return i(e,a.transform,a.locationIterator,a.theme,s)},updateValues:function(A,e){Ki.updateValues(A,e),Y.updateIfChanged(A.uSizeFactor,e.sizeFactor*e.sizeAspectRatio),Y.updateIfChanged(A.dDoubleSided,e.doubleSided),Y.updateIfChanged(A.dIgnoreLight,e.ignoreLight),Y.updateIfChanged(A.dXrayShaded,e.xrayShaded),Y.updateIfChanged(A.uBumpFrequency,e.bumpFrequency),Y.updateIfChanged(A.uBumpAmplitude,e.bumpAmplitude)},updateBoundingSphere:function(A,e){var t=Ss.clone(e.boundingSphere),r=XC(t,A.aTransform.ref.value,A.instanceCount.ref.value);Ss.equals(r,A.boundingSphere.ref.value)||Y.update(A.boundingSphere,r),Ss.equals(t,A.invariantBoundingSphere.ref.value)||(Y.update(A.invariantBoundingSphere,t),Y.update(A.uInvariantBoundingSphere,lA.fromSphere(A.uInvariantBoundingSphere.ref.value,t)))},createRenderableState:function(A){var e=Ki.createRenderableState(A);return o(e,A),e},updateRenderableState:o,createPositionIterator:n}}(xv||(xv={})),function(A){function e(A){switch(A.kind){case"mesh":return 3*A.triangleCount;case"points":return A.pointCount;case"spheres":return 2*A.sphereCount*3;case"cylinders":return 4*A.cylinderCount*3;case"text":return 2*A.charCount*3;case"lines":return 2*A.lineCount*3;case"direct-volume":return 36;case"image":return 6;case"texture-mesh":return A.vertexCount}}A.getDrawCount=e,A.getVertexCount=function(A){switch(A.kind){case"mesh":case"texture-mesh":return A.vertexCount;case"points":return A.pointCount;case"spheres":return 4*A.sphereCount;case"cylinders":return 6*A.cylinderCount;case"text":return 4*A.charCount;case"lines":return 4*A.lineCount;case"direct-volume":var e=A.gridDimension.ref.value;return e[0]*e[1]*e[2];case"image":return 4}},A.getGroupCount=function(A){switch(A.kind){case"mesh":case"points":case"spheres":case"cylinders":case"text":case"lines":return 0===e(A)?0:cr(A.groupBuffer.ref.value)+1;case"direct-volume":return 1;case"image":return cr(A.groupTexture.ref.value.array)+1;case"texture-mesh":return A.groupCount}},A.getUtils=function(A){switch(A.kind){case"mesh":return Yv.Utils;case"points":return Ay.Utils;case"spheres":return Zy.Utils;case"cylinders":return xv.Utils;case"text":return iy.Utils;case"lines":return cy.Utils;case"direct-volume":return qy.Utils;case"image":return Lv.Utils;case"texture-mesh":return Wy.Utils}},A.getGranularity=function(A,e){return"instance"===e&&A.nonInstanceable?"group":e}}(kv||(kv={})),function(A){function e(A,e,t,n,i,o,a){return a?function(A,e,t,r,n,i,o){return o.vertexCount=n,o.triangleCount=i,Y.update(o.vertexBuffer,A),Y.update(o.indexBuffer,e),Y.update(o.normalBuffer,t),Y.update(o.groupBuffer,r),o}(A,e,t,n,i,o,a):function(A,e,t,n,i,o){var a,s=Ss(),u=-1,g=-1,c={kind:"mesh",vertexCount:i,triangleCount:o,vertexBuffer:Y.create(A),indexBuffer:Y.create(e),normalBuffer:Y.create(t),groupBuffer:Y.create(n),get boundingSphere(){var A=r(c);if(A!==u){var e=ZC(c.vertexBuffer.ref.value,c.vertexCount,1);Ss.copy(s,e),u=A}return s},get groupMapping(){return c.groupBuffer.ref.version!==g&&(a=JC(c.groupBuffer.ref.value,c.vertexCount),g=c.groupBuffer.ref.version),a},setBoundingSphere:function(A){Ss.copy(s,A),u=r(c)},meta:{}};return c}(A,e,t,n,i,o)}function t(A){return e(A?A.vertexBuffer.ref.value:new Float32Array(0),A?A.indexBuffer.ref.value:new Uint32Array(0),A?A.normalBuffer.ref.value:new Float32Array(0),A?A.groupBuffer.ref.value:new Float32Array(0),0,0,A)}function r(A){return ae([A.vertexCount,A.triangleCount,A.vertexBuffer.ref.version,A.indexBuffer.ref.version,A.normalBuffer.ref.version,A.groupBuffer.ref.version])}A.create=e,A.createEmpty=t,A.computeNormals=function(A){var e=A.vertexCount,t=A.triangleCount,r=A.vertexBuffer.ref.value,n=A.indexBuffer.ref.value,i=A.normalBuffer.ref.value.length>=3*e?A.normalBuffer.ref.value:new Float32Array(3*e);i===A.normalBuffer.ref.value&&i.fill(0,0,3*e),PC(r,n,i,e,t),Y.update(A.normalBuffer,i)},A.checkForDuplicateVertices=function(A,e){void 0===e&&(e=3);for(var t=A.vertexBuffer.ref.value,r=new Map,n=function(A,e){return"".concat(A[0].toFixed(e),"|").concat(A[1].toFixed(e),"|").concat(A[2].toFixed(e))},i=0,o=gA(),a=0,s=A.vertexCount;a<s;++a){gA.fromArray(o,t,3*a);var u=n(o,e),g=r.get(u);void 0!==g?(i+=1,r.set(u,g+1)):r.set(u,1)}return i};var n=cA();function i(A){for(var e=A.vertexCount,t=A.triangleCount,r=A.indexBuffer.ref.value,n=[],i=0;i<e;++i)n[i]=[];for(i=0;i<t;++i){var o=r[3*i],a=r[3*i+1],s=r[3*i+2];Cr(n[o],a),Cr(n[o],s),Cr(n[a],o),Cr(n[a],s),Cr(n[s],o),Cr(n[s],a)}return n}function o(A){for(var e=A.triangleCount,t=A.indexBuffer.ref.value,r=new Map,n=function(A,e){var t=oe(A,e),n=r.get(t)||0;r.set(t,n+1)},i=0;i<e;++i){var o=t[3*i],a=t[3*i+1],s=t[3*i+2];n(o,a),n(o,s),n(a,s)}return r}function a(A){var e=new Set,t=[0,0];return A.forEach((function(A,r){1===A&&(function(A,e){var t=Math.floor((Math.sqrt(8*e+1)-1)/2),r=e-(t*t+t)/2;A[0]=t-r,A[1]=r}(t,r),e.add(t[0]),e.add(t[1]))})),e}function s(A,e,t){var r=new Map,n=function(A,e){r.has(A)?Cr(r.get(A),e):r.set(A,[e])};return e.forEach((function(r){for(var i=0,o=A[r];i<o.length;i++){var a=o[i];e.has(a)&&1===t.get(oe(r,a))&&n(r,a)}})),r}function u(A,e,t,r){for(var n,i=A.vertexBuffer,o=A.indexBuffer,a=A.normalBuffer,s=A.triangleCount,u=i.ref.value,g=o.ref.value,c=a.ref.value,B=HA.create(Uint32Array,3,1024,s),l=0,Q=0;Q<s;++Q)HA.add3(B,g[3*Q],g[3*Q+1],g[3*Q+2]),l+=1;var I=gA(),d=gA(),h=gA(),E=gA(),f=gA(),C=gA(),p=gA(),m=gA(),y=gA(),v=gA(),D=eA(120),b=new Set,w=Array.from(t.keys()).filter((function(A){return t.get(A).length<2})).map((function(A){var e=t.get(A);return gA.fromArray(I,u,3*A),gA.fromArray(d,u,3*e[0]),gA.fromArray(h,u,3*e[1]),gA.sub(f,d,I),gA.sub(C,h,I),[A,gA.angle(f,C)]}));w.sort((function(A,e){return A[1]-e[1]}));for(var F=0,U=w;F<U.length;F++){var S=U[F],N=S[0],R=S[1];if(!(b.has(N)||R>D)){var H=t.get(N);if((!e[H[0]].includes(H[1])||(null===(n=t.get(H[0]))||void 0===n?void 0:n.includes(H[1])))&&(gA.fromArray(I,u,3*N),gA.fromArray(d,u,3*H[0]),gA.fromArray(h,u,3*H[1]),gA.sub(f,d,I),gA.sub(C,h,I),gA.add(m,f,C),!(gA.squaredDistance(I,d)>=r))){for(var G=!1,M=0,L=e[N];M<L.length;M++){var x=L[M];if(!H.includes(x)&&(gA.fromArray(E,u,3*x),gA.sub(p,E,I),gA.dot(m,p)<0)){G=!0;break}}G&&(gA.fromArray(y,c,3*N),gA.triangleNormal(v,I,d,h),gA.dot(v,y)>0?HA.add3(B,N,H[0],H[1]):HA.add3(B,H[1],H[0],N),b.add(N),b.add(H[0]),b.add(H[1]),l+=1)}}}var k=HA.compact(B);return A.triangleCount=l,Y.update(o,k),A}function g(A,e){var t=A.vertexCount,r=e.instanceCount.ref.value,n=gr(),i=n.position,o=A.vertexBuffer.ref.value,a=e.aTransform.ref.value;return ur(t,r,1,(function(A,e){return e<0?gA.fromArray(i,o,3*A):gA.transformMat4Offset(i,o,a,0,3*A,16*e),n}))}function c(A,e,t,r,n){var i=t.instanceCount,o=t.groupCount,a=Jv(t,g(A,e),r.color),s=ep(i*o),u=jm(),c=Zm(),B=ty(),l=Xm(),Q={drawCount:3*A.triangleCount,vertexCount:A.vertexCount,groupCount:o,instanceCount:i},I=Ss.clone(A.boundingSphere),d=XC(I,e.aTransform.ref.value,i);return w(w(w(w(w(w(w(w(w({aPosition:A.vertexBuffer,aNormal:A.normalBuffer,aGroup:A.groupBuffer,elements:A.indexBuffer,boundingSphere:Y.create(d),invariantBoundingSphere:Y.create(I),uInvariantBoundingSphere:Y.create(lA.ofSphere(I))},a),s),u),c),B),l),e),Ki.createValues(n,Q)),{dDoubleSided:Y.create(n.doubleSided),dFlatShaded:Y.create(n.flatShaded),dFlipSided:Y.create(n.flipSided),dIgnoreLight:Y.create(n.ignoreLight),dXrayShaded:Y.create(n.xrayShaded),uBumpFrequency:Y.create(n.bumpFrequency),uBumpAmplitude:Y.create(n.bumpAmplitude),meta:Y.create(A.meta)})}function B(A,e){Ki.updateRenderableState(A,e),A.opaque=A.opaque&&!e.xrayShaded,A.writeDepth=A.opaque}A.transform=function(A,e){var t=A.vertexBuffer.ref.value;xC(e,t,0,A.vertexCount),nA.isTranslationAndUniformScaling(e)||function(A,e,t,r){for(var n=0,i=3*r;n<i;n+=3)gA.fromArray(LC,e,0+n),gA.transformMat3(LC,LC,A),gA.toArray(LC,e,0+n)}(cA.directionTransform(n,e),A.normalBuffer.ref.value,0,A.vertexCount),Y.update(A.vertexBuffer,t)},A.getOriginalData=function(A){return("kind"in A?A.meta:A.meta.ref.value).originalData},A.uniformTriangleGroup=function(A,e){void 0===e&&(e=!0);var t=A.indexBuffer,r=A.vertexBuffer,n=A.groupBuffer,i=A.normalBuffer,o=A.triangleCount,a=A.vertexCount,s=t.ref.value,u=r.ref.value,g=n.ref.value,c=i.ref.value,B=HA.create(Uint32Array,3,1024,o),l=HA.create(Float32Array,3,1024,u);l.currentIndex=3*a,l.elementCount=a;var Q=HA.create(Float32Array,3,1024,c);Q.currentIndex=3*a,Q.elementCount=a;var I=HA.create(Float32Array,1,1024,g);I.currentIndex=a,I.elementCount=a;var d=gA(),h=gA(),E=gA(),f=gA(),C=gA(),p=gA();function m(A){gA.fromArray(d,u,3*A),gA.fromArray(f,c,3*A),HA.add3(l,d[0],d[1],d[2]),HA.add3(Q,f[0],f[1],f[2])}function y(A,e){gA.fromArray(d,u,3*A),gA.fromArray(h,u,3*e),gA.scale(d,gA.add(d,d,h),.5),gA.fromArray(f,c,3*A),gA.fromArray(C,c,3*e),gA.scale(f,gA.add(f,f,C),.5),HA.add3(l,d[0],d[1],d[2]),HA.add3(Q,f[0],f[1],f[2])}function v(A,e,t){gA.fromArray(d,u,3*A),gA.fromArray(h,u,3*e),gA.fromArray(E,u,3*t),gA.scale(d,gA.add(d,gA.add(d,d,h),E),1/3),gA.fromArray(f,c,3*A),gA.fromArray(C,c,3*e),gA.fromArray(p,c,3*t),gA.scale(f,gA.add(f,gA.add(f,f,C),p),1/3),HA.add3(l,d[0],d[1],d[2]),HA.add3(Q,f[0],f[1],f[2])}function D(A,e,t,r,n){++w,m(A),y(A,e),y(A,t),HA.add3(B,b,b+1,b+2);for(var i=0;i<3;++i)HA.add(I,r);for(b+=3,w+=2,m(e),m(t),y(A,e),y(A,t),HA.add3(B,b,b+1,b+3),HA.add3(B,b,b+3,b+2),i=0;i<4;++i)HA.add(I,n);b+=4}var b=a,w=0;if(e)for(var F=0,U=o;F<U;++F){var S=s[3*F],N=s[3*F+1],R=s[3*F+2],H=g[S],G=g[N],M=g[R];if(H===G&&H===M)++w,HA.add3(B,S,N,R);else if(H===G)D(R,S,N,M,H);else if(H===M)D(N,R,S,G,M);else if(G===M)D(S,N,R,H,G);else{w+=2,m(S),y(S,N),y(S,R),v(S,N,R),HA.add3(B,b,b+1,b+3),HA.add3(B,b,b+3,b+2);for(var L=0;L<4;++L)HA.add(I,H);for(b+=4,w+=2,m(N),y(N,R),y(N,S),v(S,N,R),HA.add3(B,b,b+1,b+3),HA.add3(B,b,b+3,b+2),L=0;L<4;++L)HA.add(I,G);for(b+=4,w+=2,m(R),y(R,N),y(R,S),v(S,N,R),HA.add3(B,b+3,b+1,b),HA.add3(B,b+2,b+3,b),L=0;L<4;++L)HA.add(I,M);b+=4}}else for(F=0,U=o;F<U;++F)if(S=s[3*F],N=s[3*F+1],R=s[3*F+2],H=g[S],G=g[N],M=g[R],H!==G||H!==M){++w,m(S),m(N),m(R),HA.add3(B,b,b+1,b+2);var x=G===M?G:H;for(L=0;L<3;++L)HA.add(I,x);b+=3}else++w,HA.add3(B,S,N,R);var k=HA.compact(B),_=HA.compact(l),V=HA.compact(Q),T=HA.compact(I);return A.vertexCount=b,A.triangleCount=w,Y.update(r,_),Y.update(n,T),Y.update(t,k),Y.update(i,V),A.meta.originalData={indexBuffer:s,vertexCount:a,triangleCount:o},A},A.smoothEdges=function(A,e){!function(A,e){for(var t=A.indexBuffer,r=A.triangleCount,n=t.ref.value,i=HA.create(Uint32Array,3,1024,r),o=0,a=0;a<r;++a){var 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n=A.vertexBuffer.ref.value;Y.update(A.vertexBuffer,g),g=n},B=0;B<r;++B)c(n),c(u)}(A,s(i(A),a(c),c),{iterations:e.iterations,lambda:.5}),A},A.Params=w(w({},Ki.Params),{doubleSided:ir.Boolean(!1,Ki.CustomQualityParamInfo),flipSided:ir.Boolean(!1,Ki.ShadingCategory),flatShaded:ir.Boolean(!1,Ki.ShadingCategory),ignoreLight:ir.Boolean(!1,Ki.ShadingCategory),xrayShaded:ir.Boolean(!1,Ki.ShadingCategory),bumpFrequency:ir.Numeric(0,{min:0,max:10,step:.1},Ki.ShadingCategory),bumpAmplitude:ir.Numeric(1,{min:0,max:5,step:.1},Ki.ShadingCategory)}),A.Utils={Params:A.Params,createEmpty:t,createValues:c,createValuesSimple:function(e,t,r,n,i){var o=Ki.createSimple(r,n,i),a=w(w({},ir.getDefaultValues(A.Params)),t);return 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r=gA(),n=gA(),i=gA(),o=0;o<e.length;o+=3)gA.fromArray(r,A,3*e[o+0]),gA.fromArray(n,A,3*e[o+1]),gA.fromArray(i,A,3*e[o+2]),g(r,n,i,t)}(i),function(A,e){for(var t=0,r=A.length;t<r;t+=3)gA.fromArray(LC,A,t),gA.normalize(LC,LC),gA.scale(LC,LC,e),gA.toArray(LC,A,t)}(a,n);var u=new Float32Array(a.length);return PC(a,s,u,a.length/3,s.length/3),{vertices:new Float32Array(a),normals:new Float32Array(u),indices:new Uint32Array(s)};function g(A,e,t,r){for(var n=Math.pow(2,r),i=[],a=0;a<=n;++a){i[a]=[];var s=gA();gA.lerp(s,A,t,a/n);var u=gA();gA.lerp(u,e,t,a/n);for(var g=n-a,c=0;c<=g;++c)if(0===c&&a===n)i[a][c]=s;else{var B=gA();gA.lerp(B,s,u,c/g),i[a][c]=B}}for(a=0;a<n;++a)for(c=0;c<2*(n-a)-1;++c){var l=Math.floor(c/2);c%2==0?o.add(i[a][l+1],i[a+1][l],i[a][l]):o.add(i[a][l+1],i[a+1][l+1],i[a+1][l])}}}($v,AD,{detail:A,radius:1})}var rD=new Map,nD=nA.identity();function iD(A){var e=rD.get(A);return void 0===e&&(e=tD(A),rD.set(A,e)),e}function oD(A,e,t,r){kD.addPrimitive(A,function(A,e,t){return 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if(4===t)i&&(gA.set(ID,A[0],A[1],-c),gA.set(dD,A[3],A[4],-c),gA.set(hD,A[6],A[7],-c),gA.set(ED,A[9],A[10],-c),g.addQuad(ED,hD,dD,ID)),o&&(gA.set(ID,A[0],A[1],c),gA.set(dD,A[3],A[4],c),gA.set(hD,A[6],A[7],c),gA.set(ED,A[9],A[10],c),g.addQuad(ID,dD,hD,ED));else for(B=0;B<t;++B)l=(B+1)%t,i&&(gA.set(ID,A[3*B],A[3*B+1],-c),gA.set(dD,A[3*l],A[3*l+1],-c),g.add(lD,dD,ID)),o&&(gA.set(ID,A[3*B],A[3*B+1],c),gA.set(dD,A[3*l],A[3*l+1],c),g.add(ID,dD,QD));return g.getPrimitive()}function pD(A,e){void 0===e&&(e=1);for(var t=A.length/3,r=[],n=[],i=.5*e,o=0,a=0;a<t;++a)r.push(A[3*a],A[3*a+1],-i,A[3*a],A[3*a+1],i),n.push(o,o+1),o+=2;for(a=0;a<t;++a){var s=(a+1)%t;n.push(2*a,2*s,2*a+1,2*s+1)}return{vertices:r,edges:n}}var mD=new Map,yD=gA.create(0,1,0),vD=gA(),DD=gA(),bD=gA(),wD=nA(),FD=nA(),UD=gA(),SD=gA(),ND=gA();function RD(A,e,t,r,n){return gA.setMagnitude(DD,t,r/2),gA.add(bD,e,DD),n?gA.matchDirection(ND,yD,DD):gA.copy(ND,yD),gA.set(UD,1,r,1),gA.makeRotation(FD,ND,DD),nA.scale(A,FD,UD),nA.setTranslation(A,bD)}var HD=new Int32Array(9);function GD(A){var e=function(A){var e,t,r,n,i,o,a,s,u;return HD[0]=Math.round(1e3*(null!==(e=A.radiusTop)&&void 0!==e?e:BD.radiusTop)),HD[1]=Math.round(1e3*(null!==(t=A.radiusBottom)&&void 0!==t?t:BD.radiusBottom)),HD[2]=Math.round(1e3*(null!==(r=A.height)&&void 0!==r?r:BD.height)),HD[3]=null!==(n=A.radialSegments)&&void 0!==n?n:BD.radialSegments,HD[4]=null!==(i=A.heightSegments)&&void 0!==i?i:BD.heightSegments,HD[5]=(null!==(o=A.topCap)&&void 0!==o?o:BD.topCap)?1:0,HD[6]=(null!==(a=A.bottomCap)&&void 0!==a?a:BD.bottomCap)?1:0,HD[7]=Math.round(1e3*(null!==(s=A.thetaStart)&&void 0!==s?s:BD.thetaStart)),HD[8]=Math.round(1e3*(null!==(u=A.thetaLength)&&void 0!==u?u:BD.thetaLength)),ae(HD)}(A),t=mD.get(e);return void 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I=a/i*g+u,h=Math.cos(I),E=Math.sin(I);B.push(e*E,d*n,e*h),l.push(0,n,0),++Q}for(a=0;a<i;++a){var f=o+a,C=s+a;!0===A?c.push(C,C+1,f):c.push(C+1,C,f)}}}(A),mD.set(e,t)),t}function MD(A,e,t,r,n){var i=gA.distance(e,t)*r;gA.sub(vD,t,e),RD(wD,e,vD,i,!0),kD.addPrimitive(A,wD,GD(n))}function LD(A,e,t,r,n,i){var o=gA.distance(e,t)*r,a=GD(i);gA.sub(vD,t,e),gA.add(SD,e,n),RD(wD,SD,vD,o,!0),kD.addPrimitive(A,wD,a),gA.sub(SD,e,n),RD(wD,SD,vD,o,!0),kD.addPrimitive(A,wD,a)}function xD(A,e,t,r,n,i){var o=Math.floor(n/2),a=1/n;if(r<1){var s=r/2/n;r+=n%2==1?s:-s}var u=gA.distance(e,t)*r,g=GD(i);gA.sub(vD,t,e);for(var c=0;c<o;++c){var B=a*(2*c+1);gA.setMagnitude(vD,vD,u*B),gA.add(SD,e,vD),RD(wD,SD,vD,u*a,!1),kD.addPrimitive(A,wD,g)}}var kD,YD=gA(),_D=cA(),VD=gA(),TD=gA(),PD=gA(),JD=gA(),OD=gA.fromArray,KD=gA.triangleNormal,jD=gA.copy,zD=gA.transformMat4,qD=gA.transformMat3,ZD=cA.directionTransform,WD=HA.add3,XD=HA.add;!function(A){function e(A,e,t,r){var n=A.vertices,i=A.normals,o=A.indices,a=A.groups,s=A.currentGroup,u=n.elementCount;WD(n,e[0],e[1],e[2]),WD(n,t[0],t[1],t[2]),WD(n,r[0],r[1],r[2]),KD(YD,e,t,r);for(var g=0;g<3;++g)WD(i,YD[0],YD[1],YD[2]),XD(a,s);WD(o,u,u+1,u+2)}function t(A,e,t){for(var r=t.vertices,n=t.normals,i=t.indices,o=A.vertices,a=A.normals,s=A.indices,u=A.groups,g=A.currentGroup,c=o.elementCount,B=ZD(_D,e),l=0,Q=r.length;l<Q;l+=3)zD(YD,OD(YD,r,l),e),WD(o,YD[0],YD[1],YD[2]),qD(YD,OD(YD,n,l),B),WD(a,YD[0],YD[1],YD[2]),XD(u,g);for(l=0,Q=i.length;l<Q;l+=3)WD(s,i[l]+c,i[l+1]+c,i[l+2]+c)}A.createState=function(A,e,t){return void 0===A&&(A=2048),void 0===e&&(e=1024),{currentGroup:-1,vertices:HA.create(Float32Array,3,e,t?t.vertexBuffer.ref.value:A),normals:HA.create(Float32Array,3,e,t?t.normalBuffer.ref.value:A),indices:HA.create(Uint32Array,3,3*e,t?t.indexBuffer.ref.value:3*A),groups:HA.create(Float32Array,1,e,t?t.groupBuffer.ref.value:A),mesh:t}},A.addTriangle=e,A.addTriangleStrip=function(A,t,r){OD(PD,t,3*r[0]),OD(JD,t,3*r[1]);for(var n=2,i=r.length;n<i;n+=2)jD(VD,PD),jD(TD,JD),OD(PD,t,3*r[n]),OD(JD,t,3*r[n+1]),e(A,VD,TD,PD),e(A,TD,JD,PD)},A.addTriangleFan=function(A,t,r){OD(VD,t,3*r[0]);for(var n=2,i=r.length;n<i;++n)OD(TD,t,3*r[n-1]),OD(PD,t,3*r[n]),e(A,VD,PD,TD)},A.addPrimitive=t,A.addPrimitiveFlipped=function(A,e,t){for(var r=t.vertices,n=t.normals,i=t.indices,o=A.vertices,a=A.normals,s=A.indices,u=A.groups,g=A.currentGroup,c=o.elementCount,B=ZD(_D,e),l=0,Q=r.length;l<Q;l+=3)zD(YD,OD(YD,r,l),e),WD(o,YD[0],YD[1],YD[2]),qD(YD,OD(YD,n,l),B),WD(a,-YD[0],-YD[1],-YD[2]),XD(u,g);for(l=0,Q=i.length;l<Q;l+=3)WD(s,i[l+2]+c,i[l+1]+c,i[l]+c)},A.addCage=function(A,e,t,r,n,i){for(var o=t.vertices,a=t.edges,s={radiusTop:r,radiusBottom:r,radialSegments:i},u=0,g=a.length;u<g;u+=2)OD(VD,o,3*a[u]),OD(TD,o,3*a[u+1]),zD(VD,VD,e),zD(TD,TD,e),oD(A,VD,r,n),oD(A,TD,r,n),MD(A,VD,TD,1,s)},A.addMesh=function(A,e,r){t(A,e,{vertices:r.vertexBuffer.ref.value.subarray(0,3*r.vertexCount),normals:r.normalBuffer.ref.value.subarray(0,3*r.vertexCount),indices:r.indexBuffer.ref.value.subarray(0,3*r.triangleCount)})},A.getMesh=function(A){var e=A.vertices,t=A.normals,r=A.indices,n=A.groups,i=A.mesh,o=HA.compact(e,!0),a=HA.compact(r,!0),s=HA.compact(t,!0),u=HA.compact(n,!0);return Yv.create(o,a,s,u,A.vertices.elementCount,A.indices.elementCount,i)}}(kD||(kD={}));var $D={};function Ab(A,e){return{factory:Ab,granularity:"groupInstance",size:function(A){return ob.isLocation(A)?A.shape.getSize(A.group,A.instance):1},props:e,description:"Assigns sizes as defined by the shape object."}}var eb={name:"shape-group",label:"Shape Group",category:"",factory:Ab,getParams:function(A){return $D},defaultValues:ir.getDefaultValues($D),isApplicable:function(A){return!!A.shape}},tb=SA(13421772),rb={};function nb(A,e){return{factory:nb,granularity:"groupInstance",color:function(A){return ob.isLocation(A)?A.shape.getColor(A.group,A.instance):tb},props:e,description:"Assigns colors as defined by the shape object."}}var ib,ob,ab={name:"shape-group",label:"Shape Group",category:"Miscellaneous",factory:nb,getParams:function(A){return rb},defaultValues:ir.getDefaultValues(rb),isApplicable:function(A){return!!A.shape}},sb=w(w({},Iv),{aPosition:$y("float32",3,0),elements:tv("uint32"),uColor:Av("v3"),uColorTexDim:Av("v2"),tColor:ev("image-uint8","rgb","ubyte","nearest"),dColorType:rv("string",["uniform","attribute","instance","group","groupInstance","vertex","vertexInstance"]),uIsoValue:Av("v2"),uBboxMin:Av("v3"),uBboxMax:Av("v3"),uBboxSize:Av("v3"),uMaxSteps:Av("i"),uStepScale:Av("f"),uJumpLength:Av("f"),uTransform:Av("m4"),uGridDim:Av("v3"),dRenderMode:rv("string",["isosurface","volume"]),dSingleLayer:rv("boolean"),tTransferTex:ev("image-uint8","rgba","ubyte","linear"),uTransferScale:Av("f"),dGridTexType:rv("string",["2d","3d"]),uGridTexDim:Av("v3"),tGridTex:ev("texture","rgba","ubyte","linear"),uGridStats:Av("v4"),uCellDim:Av("v3"),uCartnToUnit:Av("m4"),uUnitToCartn:Av("m4"),dPackedGroup:rv("boolean"),dDoubleSided:rv("boolean"),dFlipSided:rv("boolean"),dFlatShaded:rv("boolean"),dIgnoreLight:rv("boolean"),dXrayShaded:rv("boolean")}),ub=w(w({},Iv),{aGroup:$y("float32",1,0),aPosition:$y("float32",3,0),aNormal:$y("float32",3,0),elements:tv("uint32"),dFlatShaded:rv("boolean"),dDoubleSided:rv("boolean"),dFlipSided:rv("boolean"),dIgnoreLight:rv("boolean"),dXrayShaded:rv("boolean"),uBumpFrequency:Av("f"),uBumpAmplitude:Av("f"),meta:nv("unknown")}),gb=w(w(w({},Iv),uv),{aGroup:$y("float32",1,0),aPosition:$y("float32",3,0),dPointSizeAttenuation:rv("boolean"),dPointStyle:rv("string",["square","circle","fuzzy"])}),cb=w(w(w({},Iv),uv),{aGroup:$y("float32",1,0),aMapping:$y("float32",2,0),aStart:$y("float32",3,0),aEnd:$y("float32",3,0),elements:tv("uint32"),dLineSizeAttenuation:rv("boolean"),dDoubleSided:rv("boolean"),dFlipSided:rv("boolean")}),Bb=w(w(w({},Iv),uv),{aGroup:$y("float32",1,0),aPosition:$y("float32",3,0),aMapping:$y("float32",2,0),elements:tv("uint32"),padding:nv("number"),dDoubleSided:rv("boolean"),dIgnoreLight:rv("boolean"),dXrayShaded:rv("boolean"),uBumpFrequency:Av("f"),uBumpAmplitude:Av("f")}),lb=w(w(w({},Iv),uv),{aGroup:$y("float32",1,0),aPosition:$y("float32",3,0),aMapping:$y("float32",2,0),aDepth:$y("float32",1,0),elements:tv("uint32"),aTexCoord:$y("float32",2,0),tFont:ev("image-uint8","alpha","ubyte","linear"),padding:nv("number"),uBorderWidth:Av("f"),uBorderColor:Av("v3"),uOffsetX:Av("f"),uOffsetY:Av("f"),uOffsetZ:Av("f"),uBackgroundColor:Av("v3"),uBackgroundOpacity:Av("f")}),Qb=w(w({},Iv),{uGeoTexDim:Av("v2","buffered"),tPosition:ev("texture","rgb","float","nearest"),tGroup:ev("texture","alpha","float","nearest"),tNormal:ev("texture","rgb","float","nearest"),dFlatShaded:rv("boolean"),dDoubleSided:rv("boolean"),dFlipSided:rv("boolean"),dIgnoreLight:rv("boolean"),dXrayShaded:rv("boolean"),dGeoTexture:rv("boolean"),uBumpFrequency:Av("f"),uBumpAmplitude:Av("f"),meta:nv("unknown")}),Ib=w(w({},Iv),{aGroup:$y("float32",1,0),aPosition:$y("float32",3,0),aUv:$y("float32",2,0),elements:tv("uint32"),uImageTexDim:Av("v2"),tImageTex:ev("image-uint8","rgba","ubyte","nearest"),tGroupTex:ev("image-uint8","rgba","ubyte","nearest"),dInterpolation:rv("string",Pv)}),db=w(w(w({},Iv),uv),{aGroup:$y("float32",1,0),aStart:$y("float32",3,0),aEnd:$y("float32",3,0),aMapping:$y("float32",3,0),aScale:$y("float32",1,0),aCap:$y("float32",1,0),elements:tv("uint32"),padding:nv("number"),dDoubleSided:rv("boolean"),dIgnoreLight:rv("boolean"),dXrayShaded:rv("boolean"),uBumpFrequency:Av("f"),uBumpAmplitude:Av("f")}),hb=x(0,2147483647),Eb=x(0,2147483647);function fb(A,e,t,r){return{id:hb(),type:A,values:e,state:t,materialId:r}}function Cb(A){var e=A&&A.getElement("vertex"),t=A&&A.getElement("material"),r={group:"",vRed:"",vGreen:"",vBlue:"",mRed:"",mGreen:"",mBlue:""},n=[["",""]],i=[["",""]];if(e){for(var o=0,a=e.propertyNames.length;o<a;++o){var s=e.propertyNames[o];"uchar"!==(g=e.propertyTypes[o])&&"uint8"!==g&&"ushort"!==g&&"uint16"!==g&&"uint"!==g&&"uint32"!==g&&"int"!==g||n.push([s,s]),"uchar"!==g&&"uint8"!==g||i.push([s,s])}e.propertyNames.includes("atomid")?r.group="atomid":e.propertyNames.includes("material_index")&&(r.group="material_index"),e.propertyNames.includes("red")&&(r.vRed="red"),e.propertyNames.includes("green")&&(r.vGreen="green"),e.propertyNames.includes("blue")&&(r.vBlue="blue")}var u=[["",""]];if(t){for(o=0,a=t.propertyNames.length;o<a;++o){var g,c=t.propertyNames[o];"uchar"!==(g=t.propertyTypes[o])&&"uint8"!==g||u.push([c,c])}t.propertyNames.includes("red")&&(r.mRed="red"),t.propertyNames.includes("green")&&(r.mGreen="green"),t.propertyNames.includes("blue")&&(r.mBlue="blue")}var B=r.vRed&&r.vGreen&&r.vBlue?"vertex":r.mRed&&r.mGreen&&r.mBlue?"material":"uniform";return w(w({},Yv.Params),{coloring:ir.MappedStatic(B,{vertex:ir.Group({red:ir.Select(r.vRed,i,{label:"Red Property"}),green:ir.Select(r.vGreen,i,{label:"Green Property"}),blue:ir.Select(r.vBlue,i,{label:"Blue Property"})},{isFlat:!0}),material:ir.Group({red:ir.Select(r.mRed,u,{label:"Red Property"}),green:ir.Select(r.mGreen,u,{label:"Green Property"}),blue:ir.Select(r.mBlue,u,{label:"Blue Property"})},{isFlat:!0}),uniform:ir.Group({color:ir.Color(Rr.grey)},{isFlat:!0})}),grouping:ir.MappedStatic(r.group?"vertex":"none",{vertex:ir.Group({group:ir.Select(r.group,n,{label:"Group Property"})},{isFlat:!0}),none:ir.Group({})})})}!function(A){function e(A){var e=A.transforms.length,t=ob.Location(A);return ur(A.groupCount,e,1,(function(A,e){return t.group=A,t.instance=e,t}))}A.create=function(A,e,t,r,n,i,o){return{id:N.create22(),name:A,sourceData:e,geometry:t,transforms:o||[nA.identity()],get groupCount(){return kv.getGroupCount(t)},getColor:r,getSize:n,getLabel:i}},A.getTheme=function(A){return{color:nb(0,{}),size:Ab(0,{})}},A.groupIterator=e,A.createTransform=function(A,e){for(var t=e&&e.aTransform.ref.value.length>=16*A.length?e.aTransform.ref.value:new Float32Array(16*A.length),r=0,n=A.length;r<n;++r)nA.toArray(A[r],t,16*r);return br(t,A.length,e)},A.createRenderObject=function(t,r){var n=A.getTheme(t),i=kv.getUtils(t.geometry),o=Eb(),a=e(t),s=A.createTransform(t.transforms),u=i.createValues(t.geometry,s,a,n,r),g=i.createRenderableState(r);return fb(t.geometry.kind,u,g,o)},A.Loci=function(A){return{kind:"shape-loci",shape:A}},A.isLoci=function(A){return!!A&&"shape-loci"===A.kind},A.areLociEqual=function(A,e){return A.shape===e.shape},A.isLociEmpty=function(A){return 0===A.shape.groupCount}}(ib||(ib={})),function(A){function e(A){for(var e=0,t=0,r=A.groups;t<r.length;t++){var n=r[t];e+=Tn.size(n.ids)}return e}A.Location=function(A,e,t){return void 0===e&&(e=0),void 0===t&&(t=0),{kind:"group-location",shape:A,group:e,instance:t}},A.isLocation=function(A){return!!A&&"group-location"===A.kind},A.Loci=function(A,e){return{kind:"group-loci",shape:A,groups:e}},A.isLoci=function(A){return!!A&&"group-loci"===A.kind},A.areLociEqual=function(A,e){if(A.shape!==e.shape)return!1;if(A.groups.length!==e.groups.length)return!1;for(var t=0,r=A.groups.length;t<r;++t){var n=A.groups[t],i=n.ids,o=n.instance,a=e.groups[t],s=a.ids;if(o!==a.instance)return!1;if(!Tn.areEqual(i,s))return!1}return!0},A.isLociEmpty=function(A){return 0===e(A)},A.size=e;var t=new jc,r=gA.zero();function n(A,e,n,i){for(var o=e.indices,a=e.offsets,s=function(A,e){Tn.forEach(A,(function(A){for(var s=a[A],u=a[A+1];s<u;++s)gA.fromArray(r,n,3*o[s]),gA.transformMat4(r,r,i[e]),t.includeStep(r)}))},u=0,g=A;u<g.length;u++){var c=g[u];s(c.ids,c.instance)}}function i(A,e,n,i){for(var o=e.indices,a=e.offsets,s=function(A,e){Tn.forEach(A,(function(A){for(var s=a[A],u=a[A+1];s<u;++s)gA.fromArray(r,n,3*o[s]),gA.transformMat4(r,r,i[e]),t.radiusStep(r)}))},u=0,g=A;u<g.length;u++){var c=g[u];s(c.ids,c.instance)}}A.getBoundingSphere=function(A,e){e||(e=Ss()),t.reset();var r=0,o=A.shape,a=o.geometry,s=o.transforms;if("mesh"===a.kind||"points"===a.kind){var u="mesh"===a.kind?a.vertexBuffer.ref.value:a.centerBuffer.ref.value;n(A.groups,a.groupMapping,u,s),t.finishedIncludeStep(),i(A.groups,a.groupMapping,u,s)}else if("lines"===a.kind){var g=a.startBuffer.ref.value,c=a.endBuffer.ref.value;n(A.groups,a.groupMapping,g,s),n(A.groups,a.groupMapping,c,s),t.finishedIncludeStep(),i(A.groups,a.groupMapping,g,s),i(A.groups,a.groupMapping,c,s)}else{if("spheres"!==a.kind&&"text"!==a.kind)return Ss.copy(e,a.boundingSphere);u=a.centerBuffer.ref.value,n(A.groups,a.groupMapping,u,s),t.finishedIncludeStep(),i(A.groups,a.groupMapping,u,s);for(var B=function(e,t){Tn.forEach(e,(function(e){var n=A.shape.getSize(e,t);r<n&&(r=n)}))},l=0,Q=A.groups;l<Q.length;l++){var I=Q[l];B(I.ids,I.instance)}}return gA.copy(e.center,t.center),e.radius=Math.sqrt(t.radiusSq),Ss.expand(e,e,r),e}}(ob||(ob={}));var pb=Cb();function mb(A,e,t,r,n){return F(this,void 0,void 0,(function(){var i,o,a,s,u,g,c,B,l,Q,I,d;return U(this,(function(h){switch(h.label){case 0:if(i=kD.createState(e.rowCount,e.rowCount/4,n),o=e.getProperty("x"),a=e.getProperty("y"),s=e.getProperty("z"),!o||!a||!s)throw new Error("missing coordinate properties");u=e.getProperty("nx"),g=e.getProperty("ny"),c=e.getProperty("nz"),B=!!u&&!!g&&!!c,l=1e5,Q=0,I=e.rowCount,h.label=1;case 1:return Q<I?(function(A,e,t,r,n){var i=t.vertices,o=t.normals,a=t.groups,s=r.getProperty("x"),u=r.getProperty("y"),g=r.getProperty("z");if(!s||!u||!g)throw new Error("missing coordinate properties");for(var c=r.getProperty("nx"),B=r.getProperty("ny"),l=r.getProperty("nz"),Q=!!c&&!!B&&!!l,I=A;I<e;++I)HA.add3(i,s.value(I),u.value(I),g.value(I)),Q&&HA.add3(o,c.value(I),B.value(I),l.value(I)),HA.add(a,n[I])}(Q,Math.min(Q+l,I),i,e,r),A.shouldUpdate?[4,A.update({message:"adding ply mesh vertices",current:Q,max:I})]:[3,3]):[3,4];case 2:h.sent(),h.label=3;case 3:return Q+=l,[3,1];case 4:Q=0,I=t.rowCount,h.label=5;case 5:return Q<I?(function(A,e,t,r){for(var n=t.indices,i=A;i<e;++i){var o=r.value(i),a=o.entries,s=o.count;3===s?HA.add3(n,a[0],a[1],a[2]):4===s&&(HA.add3(n,a[2],a[1],a[0]),HA.add3(n,a[2],a[0],a[3]))}}(Q,Math.min(Q+l,I),i,t),A.shouldUpdate?[4,A.update({message:"adding ply mesh faces",current:Q,max:I})]:[3,7]):[3,8];case 6:h.sent(),h.label=7;case 7:return Q+=l,[3,5];case 8:return d=kD.getMesh(i),B||Yv.computeNormals(d),[2,d]}}))}))}var yb=XA.Schema.int;function vb(A,e,t){var r,n,i,o=t.coloring,a=A.rowCount;if("vertex"===o.name)r=A.getProperty(o.params.red)||XA.ofConst(127,a,yb),n=A.getProperty(o.params.green)||XA.ofConst(127,a,yb),i=A.getProperty(o.params.blue)||XA.ofConst(127,a,yb);else if("material"===o.name)r=e&&e.getProperty(o.params.red)||XA.ofConst(127,a,yb),n=e&&e.getProperty(o.params.green)||XA.ofConst(127,a,yb),i=e&&e.getProperty(o.params.blue)||XA.ofConst(127,a,yb);else{var s=SA.toRgb(o.params.color),u=s[0],g=s[1],c=s[2];r=XA.ofConst(u,a,yb),n=XA.ofConst(g,a,yb),i=XA.ofConst(c,a,yb)}return{kind:o.name,red:r,green:n,blue:i}}function Db(A,e,t,r){var n=t.kind,i=t.red,o=t.green,a=t.blue,s=r.ids,u=r.map,g=r.label;return ib.create("ply-mesh",A,e,(function(A){var e="material"===n?A:u[A];return SA.fromRgb(i.value(e),o.value(e),a.value(e))}),(function(){return 1}),(function(A){return"".concat(g," ").concat(s[A])}))}function bb(){var A,e,t,r,n,i,o=this;return function(a,s,u,g){return F(o,void 0,void 0,(function(){var o,c,B,l,Q;return U(this,(function(I){switch(I.label){case 0:if(!(o=s.getElement("vertex")))throw new Error("missing vertex element");if(!(c=s.getElement("face")))throw new Error("missing face element");return B=s.getElement("material"),l=!1,Q=!1,A&&A===s||(l=!0),e&&ir.isParamEqual(pb.grouping,e.grouping,u.grouping)||(l=!0),e&&ir.isParamEqual(pb.coloring,e.coloring,u.coloring)||(Q=!0),l?(n=vb(o,B,u),i=function(A,e){for(var t=e.grouping,r=A.rowCount,n="vertex"===t.name?A.getProperty(t.params.group):void 0,i="vertex"===t.name?DA(t.params.group):"Vertex",o=n?n.toArray({array:Uint32Array}):hr(new Uint32Array(r)),a=n?cr(o):r-1,s=new Uint32Array(a+1),u=0,g=o.length;u<g;++u)s[o[u]]=u;return{ids:o,map:s,label:i}}(o,u),[4,mb(a,o,c,i.ids,g&&g.geometry)]):[3,2];case 1:return r=I.sent(),t=Db(s,r,n,i),[3,3];case 2:Q&&(n=vb(o,B,u),t=Db(s,r,n,i)),I.label=3;case 3:return A=s,e=fA(u),[2,t]}}))}))}}function wb(A,e){var t=this;return Pe.create("Shape Provider",(function(e){return F(t,void 0,void 0,(function(){return U(this,(function(e){return[2,{label:"Mesh",data:A,params:Cb(A),getShape:bb(),geometryUtils:Yv.Utils}]}))}))}))}function Fb(){return Fb.empty()}function Ub(A){var e=this;return Pe.create("Parse DCD",(function(t){return F(e,void 0,void 0,(function(){var e,r,n,i,o,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:return[4,t.update("Converting to coordinates")];case 1:for(c.sent(),e=A.header,r=e.DELTA?Ao(20.45482949774598*e.DELTA,"ps"):Ao(1,"step"),n=e.ISTART>=1?Ao((e.ISTART-1)*r.value,r.unit):Ao(0,r.unit),i=[],o=0,a=A.frames.length;o<a;++o)s=A.frames[o],u={elementCount:s.elementCount,time:Ao(n.value+r.value*o,r.unit),x:s.x,y:s.y,z:s.z,xyzOrdering:{isIdentity:!0}},s.cell&&((g=s.cell)[1]>=-1&&g[1]<=1&&g[3]>=-1&&g[3]<=1&&g[4]>=-1&&g[4]<=1?u.cell=Fb.create(gA.create(g[0],g[2],g[5]),gA.create(eA(90-90*Math.asin(g[1])/$),eA(90-90*Math.asin(g[3])/$),eA(90-90*Math.asin(g[4])/$))):g[0]<0||g[1]<0||g[2]<0||g[3]<0||g[4]<0||g[5]<0||g[3]>180||g[4]>180||g[5]>180?u.cell=Fb.fromBasis(gA.create(g[0],g[1],g[3]),gA.create(g[1],g[2],g[4]),gA.create(g[3],g[4],g[5])):u.cell=Fb.create(gA.create(g[0],g[2],g[5]),gA.create(eA(W(g[1],0,Z)?90:g[1]),eA(W(g[3],0,Z)?90:g[3]),eA(W(g[4],0,Z)?90:g[4])))),i.push(u);return[2,ji.create(i,r,n)]}}))}))}))}function Sb(A,e,t,r){for(var n=t,i=r-1,o=e.charCodeAt(n);(32===o||o>=48&&o<=57)&&n<=i;)o=e.charCodeAt(++n);for(o=e.charCodeAt(i);(32===o||o>=48&&o<=57)&&i>=n;)o=e.charCodeAt(--i);if(n===++i)return Gs.add(A,n,i);if(n+1===i)return Gs.add(A,n,i);if(o=e.charCodeAt(n),n+2===i){var a=e.charCodeAt(n+1);if(!((78!==o&&110!==o||65!==a&&97!==a)&&(67!==o&&99!==o||76!==a&&108!==a)&&(70!==o&&102!==o||69!==a&&101!==a)&&(83!==o&&115!==o||73!==a&&105!==a)&&(66!==o&&98!==o||82!==a&&114!==a)&&(65!==o&&97!==o||83!==a&&115!==a)))return Gs.add(A,n,n+2)}if(67===o||99===o||72===o||104===o||78===o||110===o||79===o||111===o||80===o||112===o||83===o||115===o)return Gs.add(A,n,n+1);Gs.add(A,n,n)}!function(A){function e(A,e){return{size:A,anglesInRadians:e}}function t(){return e(gA(),gA())}A.create=e,A.empty=t,A.fromBasis=function(A,r,n){var i=gA.magnitude(A),o=gA.magnitude(r),a=gA.magnitude(n),s=Math.acos(gA.dot(r,n)/(o*a)),u=Math.acos(gA.dot(A,n)/(i*a)),g=Math.acos(gA.dot(A,r)/(i*o));return i<=0||o<=0||a<=0||s>=Math.PI||u>=Math.PI||g>=Math.PI?t():e(gA.create(i,o,a),gA.create(s,u,g))}}(Fb||(Fb={}));var Nb=/^[\s\d]+|[\s\d]+$/g;function Rb(A){var e=(A=A.replace(Nb,"").toUpperCase()).length;if(0===e)return A;if(1===e)return A;if(2===e&&("NA"===A||"CL"===A||"FE"===A||"SI"===A||"BR"===A||"AS"===A))return A;if(3===e){if("SOD"===A)return"NA";if("POT"===A)return"K";if("CES"===A)return"CS";if("CAL"===A)return"CA";if("CLA"===A)return"CL"}var t=A[0];return"C"===t||"H"===t||"N"===t||"O"===t||"P"===t||"S"===t?t:""}var Hb,Gb=[new Set(["CA"]),new Set(["C"]),new Set(["N"])],Mb=[new Set(["P","O3'","O3*"]),new Set(["C4'","C4*"]),new Set(["O2'","O2*","F2'","F2*"])],Lb=[new Set(["P","O3'","O3*"]),new Set(["C3'","C3*"]),new Set(["O2'","O2*","F2'","F2*"])],xb=new Set(["FMN","NCN","FNS","FMA"]),kb=function(){var A=new Map;return[{id:"HIS",name:"HISTIDINE",type:"L-peptide linking"},{id:"ARG",name:"ARGININE",type:"L-peptide linking"},{id:"LYS",name:"LYSINE",type:"L-peptide 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Set,t=this.seqId.value(A);A<this.seqId.rowCount;){if(this.seqId.value(A)!==t)break;e.add(this.atomId.value(A)),A+=1}return e},A.prototype.hasAtomIds=function(A,e){for(var t=0,r=e.length;t<r;++t)if(!oa.areIntersecting(A,e[t]))return!1;return!0},A.prototype.getType=function(A){return this.hasAtomIds(A,Gb)?"peptide linking":this.hasAtomIds(A,Mb)?"RNA linking":this.hasAtomIds(A,Lb)?"DNA linking":"other"},A.prototype.has=function(A){return this.comps.has(A)},A.prototype.get=function(A){return this.comps.get(A)},A.prototype.add=function(A,e){if(!this.has(A))if(kb.has(A))this.set(kb.get(A));else if(Ya.has(A))this.set({id:A,name:"WATER",type:"non-polymer"});else if(xb.has(A))this.set({id:A,name:this.namesMap.get(A)||A,type:"non-polymer"});else{var t=this.getAtomIds(e);if(1===t.size&&Yb.has(A))this.set(Yb.get(A));else{var r=this.getType(t);this.set({id:A,name:this.namesMap.get(A)||A,type:r})}}return this.get(A)},A.prototype.getChemCompTable=function(){return $A.ofPartialColumns(PI.chem_comp,{id:XA.ofStringArray(this.ids),name:XA.ofStringArray(this.names),type:XA.ofStringAliasArray(this.types),mon_nstd_flag:XA.ofStringAliasArray(this.mon_nstd_flags)},this.ids.length)},A.prototype.setNames=function(A){var e=this;A.forEach((function(A){return e.namesMap.set(A[0],A[1])}))},A}(),Vb="ABCDEFGHIJKLMNOPQRSTUVWXYZ",Tb=od((function(A){for(var e=Vb.length,t=A,r=0,n=Vb[t%e];t>=e;)t=Math.floor(t/e),n+=Vb[t%e],r+=1;return r>=5&&console.warn("getChainId overflow"),n})),Pb=function(){function A(){this.count=0,this.ids=[],this.types=[],this.descriptions=[],this.compoundsMap=new Map,this.namesMap=new Map,this.heteroMap=new Map,this.chainMap=new Map}return A.prototype.set=function(A,e){this.count+=1,this.ids.push("".concat(this.count)),this.types.push(A),this.descriptions.push([e])},A.prototype.getEntityId=function(A,e,t,r){return 2===e?(void 0===this.waterId&&(this.set("water",(null==r?void 0:r.customName)||"Water"),this.waterId="".concat(this.count)),this.waterId):rs(e)?this.compoundsMap.has(t)?this.compoundsMap.get(t):(this.chainMap.has(t)||(this.set("polymer",(null==r?void 0:r.customName)||"Polymer ".concat(this.chainMap.size+1)),this.chainMap.set(t,"".concat(this.count))),this.chainMap.get(t)):(this.heteroMap.has(A)||(this.set("non-polymer",(null==r?void 0:r.customName)||this.namesMap.get(A)||A),this.heteroMap.set(A,"".concat(this.count))),this.heteroMap.get(A))},A.prototype.getEntityTable=function(){return $A.ofPartialColumns(PI.entity,{id:XA.ofStringArray(this.ids),type:XA.ofStringAliasArray(this.types),pdbx_description:XA.ofStringListArray(this.descriptions)},this.count)},A.prototype.setCompounds=function(A){for(var e=0,t=A.length;e<t;++e){var r=A[e],n=r.chains,i=r.description;this.set("polymer",i);for(var o=0,a=n.length;o<a;++o)this.compoundsMap.set(n[o],"".concat(this.count))}},A.prototype.setNames=function(A){var e=this;A.forEach((function(A){return e.namesMap.set(A[0],A[1])}))},A}();function Jb(A){var e=this;return Pe.create("Parse GRO",(function(t){return F(e,void 0,void 0,(function(){var e,r,n,i,o,a;return U(this,(function(s){switch(s.label){case 0:e=Hb.fromGro(A),r=[],n=0,i=A.structures.length,s.label=1;case 1:return n<i?(o=function(A,e){for(var t=A.atomName,r=A.residueName,n=new Array(A.count),i=new Array(A.count),o=new Uint32Array(A.count),a=new Uint32Array(A.count),s=new Pb,u=new _b(A.residueNumber,A.atomName),g="",c=0,B="",l=0,Q=0,I=-1,d=0,h=A.count;d<h;++d){var E=A.residueNumber.value(d);if(E!==I){var f=A.residueName.value(d),C=Xa(u.add(f,d).type,f);C===Q&&(E===I+1||99999===I&&0===E)||(B=Tb(c),c+=1,l=0),g=s.getEntityId(f,C,B),l+=1,I=E,Q=C}n[d]=g,i[d]=B,o[d]=l,a[d]=d}var p=XA.ofStringArray(i),m=$A.ofPartialColumns(PI.atom_site,{auth_asym_id:p,auth_atom_id:t,auth_comp_id:r,auth_seq_id:A.residueNumber,Cartn_x:XA.ofFloatArray(XA.mapToArray(A.x,(function(A){return 10*A}),Float32Array)),Cartn_y:XA.ofFloatArray(XA.mapToArray(A.y,(function(A){return 10*A}),Float32Array)),Cartn_z:XA.ofFloatArray(XA.mapToArray(A.z,(function(A){return 10*A}),Float32Array)),id:XA.ofIntArray(a),label_asym_id:p,label_atom_id:t,label_comp_id:r,label_seq_id:XA.ofIntArray(o),label_entity_id:XA.ofStringArray(n),occupancy:XA.ofConst(1,A.count,XA.Schema.float),type_symbol:XA.ofStringArray(XA.mapToArray(A.atomName,(function(A){return Rb(A)}))),pdbx_PDB_model_num:XA.ofConst(e,A.count,XA.Schema.int)},A.count);return JI({entity:s.getEntityTable(),chem_comp:u.getChemCompTable(),atom_site:m})}(A.structures[n].atoms,n+1),[4,fd(o,e,t)]):[3,4];case 2:1===(a=s.sent()).frameCount&&r.push(a.representative),s.label=3;case 3:return++n,[3,1];case 4:return[2,new Ed(r)]}}))}))}))}function Ob(A,e){var t=function(A,t){return(e.substr(A,t)||"").trim()},r={entry_id:Hs.ofString(A),length_a:Hs.ofString(t(6,9)),length_b:Hs.ofString(t(15,9)),length_c:Hs.ofString(t(24,9)),angle_alpha:Hs.ofString(t(33,7)),angle_beta:Hs.ofString(t(40,7)),angle_gamma:Hs.ofString(t(47,7)),Z_PDB:Hs.ofString(t(66,4)),pdbx_unique_axis:Hs.ofString("?")},n={entry_id:Hs.ofString(A),"space_group_name_H-M":Hs.ofString(t(55,11)),Int_Tables_number:Hs.ofString("?"),cell_setting:Hs.ofString("?"),space_group_name_Hall:Hs.ofString("?")};return[Os.ofFields("cell",r),Os.ofFields("symmetry",n)]}function Kb(A,e){return{id:A,details:e,groups:[]}}function jb(A,e,t){for(var r,n,i,o=[],a=1,s=1,u=function(e){return A.data.substring(A.indices[2*e],A.indices[2*e+1])},g=e;g<t;g++){var c=u(g);if("BIOMOLECULE:"===c.substr(11,12)){var B=c.substr(23).trim(),l="Biomolecule ".concat(B);"APPLY THE FOLLOWING TO CHAINS:"!==(c=u(g+1)).substr(11,30)&&(g++,l=c.substr(11).trim()),r=Kb(B,l),o.push(r)}else if("BIOMT"===c.substr(13,5)){var Q=c.split(/\s+/);0==(L=parseInt(c[18])-1)&&(i=nA.identity(),n.operators.push({id:a++,matrix:i})),nA.setValue(i,L,0,parseFloat(Q[4])),nA.setValue(i,L,1,parseFloat(Q[5])),nA.setValue(i,L,2,parseFloat(Q[6])),nA.setValue(i,L,3,parseFloat(Q[7]))}else if("APPLY THE FOLLOWING TO CHAINS:"===c.substr(11,30)||"                   AND CHAINS:"===c.substr(11,30)){"APPLY"===c.substr(11,5)&&(n={chains:[],operators:[]},r.groups.push(n));for(var I=0,d=(h=c.substr(41,30).split(",")).length;I<d;++I)(E=h[I].trim())&&n.chains.push(E)}else if("APPLYING THE FOLLOWING TO CHAINS:"===c.substr(11,33)){var h;for(r=Kb("".concat(s),"Biomolecule ".concat(s)),o.push(r),s+=1,n={chains:[],operators:[]},r.groups.push(n),I=0,d=(h=(c=u(++g)).substr(11,69).split(",")).length;I<d;++I){var E;(E=h[I].trim())&&n.chains.push(E)}}}if(0===o.length)return[];for(var f={id:Hs.ofStrings(o.map((function(A){return A.id}))),details:Hs.ofStrings(o.map((function(A){return A.details})))},C=[],p=0,m=o;p<m.length;p++)for(var y=0,v=(S=m[p]).groups;y<v.length;y++){var D=v[y];C.push({assembly_id:S.id,oper_expression:D.operators.map((function(A){return A.id})).join(","),asym_id_list:D.chains.join(",")})}for(var b={assembly_id:Hs.ofStrings(C.map((function(A){return A.assembly_id}))),oper_expression:Hs.ofStrings(C.map((function(A){return A.oper_expression}))),asym_id_list:Hs.ofStrings(C.map((function(A){return A.asym_id_list})))},w=[],F=0,U=o;F<U.length;F++)for(var S,N=0,R=(S=U[F]).groups;N<R.length;N++)for(var H=0,G=R[N].operators;H<G.length;H++){var M=G[H],L={id:""+M.id,type:"?",name:"?",symmetry_operation:"?"};for(g=0;g<3;g++){for(I=0;I<3;I++)L["matrix[".concat(g+1,"][").concat(I+1,"]")]=""+nA.getValue(M.matrix,g,I);L["vector[".concat(g+1,"]")]=""+nA.getValue(M.matrix,g,3)}w.push(L)}var x={id:Hs.ofStrings(w.map((function(A){return A.id}))),type:Hs.ofStrings(w.map((function(A){return A.type}))),name:Hs.ofStrings(w.map((function(A){return A.name}))),symmetry_operation:Hs.ofStrings(w.map((function(A){return A.symmetry_operation})))},k=function(A){for(var e=function(e){var t="matrix[".concat(A+1,"][").concat(e+1,"]");x[t]=Hs.ofStrings(w.map((function(A){return A[t]})))},t=0;t<3;t++)e(t);var r="vector[".concat(A+1,"]");x[r]=Hs.ofStrings(w.map((function(A){return A[r]})))};for(g=0;g<3;g++)k(g);return[Os.ofFields("pdbx_struct_assembly",f),Os.ofFields("pdbx_struct_assembly_gen",b),Os.ofFields("pdbx_struct_oper_list",x)]}function zb(A,e,t){for(var r,n=[],i=function(e){return A.data.substring(A.indices[2*e],A.indices[2*e+1])},o=e;o<t;o++){var a=i(o),s=a.split(/\s+/);0==(Q=parseInt(a[5])-1)&&(r=nA.identity(),n.push(r)),nA.setValue(r,Q,0,parseFloat(s[2])),nA.setValue(r,Q,1,parseFloat(s[3])),nA.setValue(r,Q,2,parseFloat(s[4])),nA.setValue(r,Q,3,parseFloat(s[5]))}if(0===n.length)return[];for(var u=[],g=1,c=0,B=n;c<B.length;c++){var l=B[c],Q={id:"ncsop"+g++,code:".",details:"."};for(o=0;o<3;o++){for(var I=0;I<3;I++)Q["matrix[".concat(o+1,"][").concat(I+1,"]")]=""+nA.getValue(l,o,I);Q["vector[".concat(o+1,"]")]=""+nA.getValue(l,o,3)}u.push(Q)}var d={id:Hs.ofStrings(u.map((function(A){return A.id}))),code:Hs.ofStrings(u.map((function(A){return A.code}))),details:Hs.ofStrings(u.map((function(A){return A.details})))},h=function(A){for(var e=function(e){var t="matrix[".concat(A+1,"][").concat(e+1,"]");d[t]=Hs.ofStrings(u.map((function(A){return A[t]})))},t=0;t<3;t++)e(t);var r="vector[".concat(A+1,"]");d[r]=Hs.ofStrings(u.map((function(A){return A[r]})))};for(o=0;o<3;o++)h(o);return[Os.ofFields("struct_ncs_oper",d)]}!function(A){A.is=function(A){return"gro"===(null==A?void 0:A.kind)},A.fromGro=function(A){return{kind:"gro",name:A.structures[0].header.title,data:A}}}(Hb||(Hb={}));var qb={1:"HELX_RH_AL_P",2:"HELX_RH_OM_P",3:"HELX_RH_PI_P",4:"HELX_RH_GA_P",5:"HELX_RH_3T_P",6:"HELX_LH_AL_P",7:"HELX_LH_OM_P",8:"HELX_LH_GA_P",9:"HELX_RH_27_P",10:"HELX_RH_PP_P"};function Zb(A,e,t){for(var r=[],n=function(e){return A.data.substring(A.indices[2*e],A.indices[2*e+1])},i=e;i<t;i++){var o=n(i);r.push({serNum:o.substr(7,3).trim(),helixID:o.substr(11,3).trim(),initResName:o.substr(15,3).trim(),initChainID:o.substr(19,1).trim(),initSeqNum:o.substr(21,4).trim(),initICode:o.substr(25,1).trim(),endResName:o.substr(27,3).trim(),endChainID:o.substr(31,3).trim(),endSeqNum:o.substr(33,4).trim(),endICode:o.substr(37,1).trim(),helixClass:o.substr(38,2).trim(),comment:o.substr(40,30).trim(),length:o.substr(71,5).trim()})}var a=Hs.ofStrings(r.map((function(A){return A.initChainID}))),s=Hs.ofStrings(r.map((function(A){return A.initResName}))),u=Hs.ofStrings(r.map((function(A){return A.endChainID}))),g=Hs.ofStrings(r.map((function(A){return A.endResName}))),c={beg_label_asym_id:a,beg_label_comp_id:s,beg_label_seq_id:Hs.ofUndefined(r.length,XA.Schema.int),beg_auth_asym_id:a,beg_auth_comp_id:s,beg_auth_seq_id:Hs.ofStrings(r.map((function(A){return A.initSeqNum}))),conf_type_id:Hs.ofStrings(r.map((function(A){return e=A.helixClass,qb[e]||"HELX_P";var e}))),details:Hs.ofStrings(r.map((function(A){return A.comment}))),end_label_asym_id:u,end_label_comp_id:g,end_label_seq_id:Hs.ofUndefined(r.length,XA.Schema.int),end_auth_asym_id:u,end_auth_comp_id:g,end_auth_seq_id:Hs.ofStrings(r.map((function(A){return A.endSeqNum}))),id:Hs.ofStrings(r.map((function(A){return A.serNum}))),pdbx_beg_PDB_ins_code:Hs.ofStrings(r.map((function(A){return A.initICode}))),pdbx_end_PDB_ins_code:Hs.ofStrings(r.map((function(A){return A.endICode}))),pdbx_PDB_helix_class:Hs.ofStrings(r.map((function(A){return A.helixClass}))),pdbx_PDB_helix_length:Hs.ofStrings(r.map((function(A){return A.length}))),pdbx_PDB_helix_id:Hs.ofStrings(r.map((function(A){return A.helixID})))};return Os.ofFields("struct_conf",c)}function Wb(A,e,t){for(var r=[],n=function(e){return A.data.substring(A.indices[2*e],A.indices[2*e+1])},i=e;i<t;i++){var o=n(i);r.push({strand:o.substr(7,3).trim(),sheetID:o.substr(11,3).trim(),numStrands:o.substr(14,2).trim(),initResName:o.substr(17,3).trim(),initChainID:o.substr(21,1).trim(),initSeqNum:o.substr(22,4).trim(),initICode:o.substr(26,1).trim(),endResName:o.substr(28,3).trim(),endChainID:o.substr(32,1).trim(),endSeqNum:o.substr(33,4).trim(),endICode:o.substr(37,1).trim(),sense:o.substr(38,2).trim(),curAtom:o.substr(41,4).trim(),curResName:o.substr(45,3).trim(),curChainId:o.substr(49,1).trim(),curResSeq:o.substr(50,4).trim(),curICode:o.substr(54,1).trim(),prevAtom:o.substr(56,4).trim(),prevResName:o.substr(60,3).trim(),prevChainId:o.substr(64,1).trim(),prevResSeq:o.substr(65,4).trim(),prevICode:o.substr(69,1).trim()})}var a=Hs.ofStrings(r.map((function(A){return A.initChainID}))),s=Hs.ofStrings(r.map((function(A){return A.initResName}))),u=Hs.ofStrings(r.map((function(A){return A.initSeqNum}))),g=Hs.ofStrings(r.map((function(A){return A.endChainID}))),c=Hs.ofStrings(r.map((function(A){return A.endResName}))),B=Hs.ofStrings(r.map((function(A){return A.endSeqNum}))),l={beg_label_asym_id:a,beg_label_comp_id:s,beg_label_seq_id:u,beg_auth_asym_id:a,beg_auth_comp_id:s,beg_auth_seq_id:u,end_label_asym_id:g,end_label_comp_id:g,end_label_seq_id:B,end_auth_asym_id:g,end_auth_comp_id:c,end_auth_seq_id:B,id:Hs.ofStrings(r.map((function(A){return A.strand}))),sheet_id:Hs.ofStrings(r.map((function(A){return A.sheetID}))),pdbx_beg_PDB_ins_code:Hs.ofStrings(r.map((function(A){return A.initICode}))),pdbx_end_PDB_ins_code:Hs.ofStrings(r.map((function(A){return A.endICode})))};return Os.ofFields("struct_sheet_range",l)}var Xb,$b,Aw,ew={MOL_ID:"",MOLECULE:"",CHAIN:"",FRAGMENT:"",SYNONYM:"",EC:"",ENGINEERED:"",MUTATION:"",OTHER_DETAILS:""};function tw(A,e,t){for(var r,n=function(e){return A.data.substring(A.indices[2*e],A.indices[2*e+1])},i={chains:[],description:""},o=[],a=e;a<t;a++){var s=n(a).substr(10,70).trim(),u=s.indexOf(":"),g=s.substring(0,u),c=void 0;g in ew?(r=g,c=s.substring(u+2)):c=s,c=c.replace(/;$/,""),"MOL_ID"===r?(i={chains:[],description:""},o.push(i)):"MOLECULE"===r?(i.description&&(i.description+=" "),i.description+=c):"CHAIN"===r&&Array.prototype.push.apply(i.chains,c.split(/\s*,\s*/))}for(var B=[],l=0,Q=o;l<Q.length;l++)for(var I=Q[l],d=0,h=I.chains;d<h.length;d++){var E=h[d];B.push({description:I.description,chains:[E]})}return B}function rw(A,e,t){for(var r=function(e){return A.data.substring(A.indices[2*e],A.indices[2*e+1])},n=new Map,i=e;i<t;i++){var o=r(i),a=o.substr(11,3).trim(),s=o.substr(15).trim();n.has(a)?n.set(a,"".concat(n.get(a)," ").concat(s)):n.set(a,s)}return n}function nw(A,e,t,r,n,i){var o=t.data,a=n-r;Gs.addToken(A.group_PDB,Ks.trim(t,r,r+6)),Ks.trim(t,r+6,r+11),A.id[A.index]=t.data.substring(t.tokenStart,t.tokenEnd),Gs.addToken(A.auth_atom_id,Ks.trim(t,r+12,r+16)),32===o.charCodeAt(r+16)?Gs.add(A.label_alt_id,0,0):Gs.add(A.label_alt_id,r+16,r+17),Gs.addToken(A.auth_comp_id,Ks.trim(t,r+17,r+20)),Gs.add(A.auth_asym_id,r+21,r+22),Gs.addToken(A.auth_seq_id,Ks.trim(t,r+22,r+26)),32===o.charCodeAt(r+26)?Gs.add(A.pdbx_PDB_ins_code,0,0):Gs.add(A.pdbx_PDB_ins_code,r+26,r+27),Gs.addToken(A.Cartn_x,Ks.trim(t,r+30,r+38)),Gs.addToken(A.Cartn_y,Ks.trim(t,r+38,r+46)),Gs.addToken(A.Cartn_z,Ks.trim(t,r+46,r+54)),Gs.addToken(A.occupancy,Ks.trim(t,r+54,r+60)),a>=66?Gs.addToken(A.B_iso_or_equiv,Ks.trim(t,r+60,r+66)):Gs.add(A.B_iso_or_equiv,0,0),i&&Gs.addToken(A.partial_charge,Ks.trim(t,r+70,r+76)),a>=78&&!i?(Ks.trim(t,r+76,r+78),t.tokenStart<t.tokenEnd?Gs.addToken(A.type_symbol,t):Sb(A.type_symbol,o,r+12,r+16)):Sb(A.type_symbol,o,r+12,r+16),A.pdbx_PDB_model_num[A.index]=e,A.index++}function iw(A){var e=Hs.ofTokens(A.pdbx_auth_seq_id),t=Hs.ofTokens(A.pdbx_auth_comp_id),r=Hs.ofTokens(A.pdbx_auth_asym_id),n=Hs.ofTokens(A.pdbx_auth_atom_id),i={id:Hs.ofStrings(A.id),type_symbol:Hs.ofTokens(A.type_symbol),pdbx_label_atom_id:n,pdbx_label_alt_id:Hs.ofTokens(A.pdbx_label_alt_id),pdbx_label_comp_id:t,pdbx_label_asym_id:r,pdbx_label_seq_id:e,pdbx_PDB_ins_code:Hs.ofTokens(A.pdbx_PDB_ins_code),pdbx_auth_seq_id:e,pdbx_auth_comp_id:t,pdbx_auth_asym_id:r,pdbx_auth_atom_id:n};return i["U[1][1]"]=Hs.ofNumbers(A["U[1][1]"]),i["U[2][2]"]=Hs.ofNumbers(A["U[2][2]"]),i["U[3][3]"]=Hs.ofNumbers(A["U[3][3]"]),i["U[1][2]"]=Hs.ofNumbers(A["U[1][2]"]),i["U[1][3]"]=Hs.ofNumbers(A["U[1][3]"]),i["U[2][3]"]=Hs.ofNumbers(A["U[2][3]"]),i}function ow(A,e,t,r,n){var i=t.data,o=n-r;Ks.trim(t,r+6,r+11),A.id[A.index]=i.substring(t.tokenStart,t.tokenEnd),Gs.addToken(A.pdbx_auth_atom_id,Ks.trim(t,r+12,r+16)),32===i.charCodeAt(r+16)?Gs.add(A.pdbx_label_alt_id,0,0):Gs.add(A.pdbx_label_alt_id,r+16,r+17),Gs.addToken(A.pdbx_auth_comp_id,Ks.trim(t,r+17,r+20)),Gs.add(A.pdbx_auth_asym_id,r+21,r+22),Gs.addToken(A.pdbx_auth_seq_id,Ks.trim(t,r+22,r+26)),32===i.charCodeAt(r+26)?Gs.add(A.pdbx_PDB_ins_code,0,0):Gs.add(A.pdbx_PDB_ins_code,r+26,r+27),A["U[1][1]"][A.index]=le(i,r+28,r+35)/1e4,A["U[2][2]"][A.index]=le(i,r+35,r+42)/1e4,A["U[3][3]"][A.index]=le(i,r+42,r+49)/1e4,A["U[1][2]"][A.index]=le(i,r+49,r+56)/1e4,A["U[1][3]"][A.index]=le(i,r+56,r+63)/1e4,A["U[2][3]"][A.index]=le(i,r+63,r+70)/1e4,o>=78?(Ks.trim(t,r+76,r+78),t.tokenStart<t.tokenEnd?Gs.addToken(A.type_symbol,t):Sb(A.type_symbol,i,r+12,r+16)):Sb(A.type_symbol,i,r+12,r+16),A.index++}function aw(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w,F,S,N,R,H,G;return U(this,(function(U){for(e=A.lines,t=e.data,r=e.indices,n=Ks(t),i=!!A.isPdbqt,o=0,a=0,D=0,d=e.count;D<d;D++)switch(h=r[2*D],E=r[2*D+1],t[h]){case"A":bA(t,h,E,"ATOM  ")?o++:bA(t,h,E,"ANISOU")&&a++;break;case"H":bA(t,h,E,"HETATM")&&o++}for(s=function(A,e){var t=function(){return Gs.create(A,2*e)};return{index:0,group_PDB:t(),id:[],auth_atom_id:t(),label_alt_id:t(),auth_comp_id:t(),auth_asym_id:t(),auth_seq_id:t(),pdbx_PDB_ins_code:t(),Cartn_x:t(),Cartn_y:t(),Cartn_z:t(),occupancy:t(),B_iso_or_equiv:t(),type_symbol:t(),pdbx_PDB_model_num:[],label_entity_id:[],partial_charge:t()}}(t,o),u=function(A,e){var t=function(){return new Float32Array(e)},r=function(){return Gs.create(A,2*e)};return{index:0,count:e,id:[],type_symbol:r(),pdbx_label_atom_id:r(),pdbx_label_alt_id:r(),pdbx_label_comp_id:r(),pdbx_label_asym_id:r(),pdbx_label_seq_id:r(),pdbx_PDB_ins_code:r(),"U[1][1]":t(),"U[2][2]":t(),"U[3][3]":t(),"U[1][2]":t(),"U[1][3]":t(),"U[2][3]":t(),pdbx_auth_seq_id:r(),pdbx_auth_comp_id:r(),pdbx_auth_asym_id:r(),pdbx_auth_atom_id:r()}}(t,a),g=new Pb,c=[],B=[],l=0,Q="",I=void 0,D=0,d=e.count;D<d;D++)switch(h=r[2*D],E=r[2*D+1],t[h]){case"A":bA(t,h,E,"ATOM  ")?(l||(l++,Q=""+l),nw(s,Q,n,h,E,i)):bA(t,h,E,"ANISOU")&&ow(u,0,n,h,E);break;case"C":if(bA(t,h,E,"CRYST1"))c.push.apply(c,Ob(A.id||"?",t.substring(h,E)));else if(bA(t,h,E,"CONECT")){for(f=D+1;h=r[2*f],E=r[2*f+1],bA(t,h,E,"CONECT");)f++;I?Fe&&console.log("only single CONECT block allowed, ignoring others"):I=[D,f],D=f-1}else if(bA(t,h,E,"COMPND")){for(f=D+1;h=r[2*f],E=r[2*f+1],bA(t,h,E,"COMPND");)f++;g.setCompounds(tw(e,D,f)),D=f-1}break;case"H":if(bA(t,h,E,"HETATM"))l||(l++,Q=""+l),nw(s,Q,n,h,E,i);else if(bA(t,h,E,"HELIX")){for(f=D+1;h=r[2*f],E=r[2*f+1],bA(t,h,E,"HELIX");)f++;c.push(Zb(e,D,f)),D=f-1}else if(bA(t,h,E,"HETNAM")){for(f=D+1;h=r[2*f],E=r[2*f+1],bA(t,h,E,"HETNAM");)f++;B.push.apply(B,Array.from(rw(e,D,f).entries())),D=f-1}break;case"M":if(bA(t,h,E,"MODEL ")&&(l++,Q=""+l),bA(t,h,E,"MTRIX")){for(f=D+1;h=r[2*f],E=r[2*f+1],bA(t,h,E,"MTRIX");)f++;c.push.apply(c,zb(e,D,f)),D=f-1}break;case"O":break;case"R":if(bA(t,h,E,"REMARK 350")){for(f=D+1;h=r[2*f],E=r[2*f+1],bA(t,h,E,"REMARK 350");)f++;c.push.apply(c,jb(e,D,f)),D=f-1}break;case"S":if(bA(t,h,E,"SHEET")){for(f=D+1;h=r[2*f],E=r[2*f+1],bA(t,h,E,"SHEET");)f++;c.push(Wb(e,D,f)),D=f-1}}for(C=XA.ofIntTokens(s.auth_seq_id),p=XA.ofStringTokens(s.auth_atom_id),m=XA.ofStringTokens(s.auth_comp_id),y=XA.ofStringTokens(s.auth_asym_id),(v=new _b(C,p)).setNames(B),g.setNames(B),D=0,b=m.rowCount;D<b;++D)w=m.value(D),F=Xa(v.add(w,D).type,w),s.label_entity_id[D]=g.getEntityId(w,F,y.value(D));var M,L,x,k;for(M=s,L=Hs.ofTokens(M.auth_asym_id),x=Hs.ofTokens(M.auth_atom_id),k=Hs.ofTokens(M.auth_comp_id),S={auth_asym_id:L,auth_atom_id:x,auth_comp_id:k,auth_seq_id:Hs.ofTokens(M.auth_seq_id),B_iso_or_equiv:Hs.ofTokens(M.B_iso_or_equiv),Cartn_x:Hs.ofTokens(M.Cartn_x),Cartn_y:Hs.ofTokens(M.Cartn_y),Cartn_z:Hs.ofTokens(M.Cartn_z),group_PDB:Hs.ofTokens(M.group_PDB),id:Hs.ofStrings(M.id),label_alt_id:Hs.ofTokens(M.label_alt_id),label_asym_id:L,label_atom_id:x,label_comp_id:k,label_seq_id:Hs.ofUndefined(M.index,XA.Schema.int),label_entity_id:Hs.ofStrings(M.label_entity_id),occupancy:Ts(M.occupancy)?Hs.ofUndefined(M.index,XA.Schema.float):Hs.ofTokens(M.occupancy),type_symbol:Hs.ofTokens(M.type_symbol),pdbx_PDB_ins_code:Hs.ofTokens(M.pdbx_PDB_ins_code),pdbx_PDB_model_num:Hs.ofStrings(M.pdbx_PDB_model_num),partial_charge:Hs.ofTokens(M.partial_charge)},i||delete S.partial_charge,I&&c.push(function(A,e,t,r){for(var n={},i=0,o=r.id.rowCount;i<o;++i)n[r.id.str(i)]=i;var a=function(e){return A.data.substring(A.indices[2*e],A.indices[2*e+1])},s=[],u=[],g=[],c=[],B=[],l=[],Q=[],I=[],d=[],h=[],E=[11,16,21,26],f=1;for(i=e;i<t;i++){var C=a(i),p=n[parseInt(C.substr(6,5))],m={};if(void 0!==p)for(var y=0;y<4;++y){var v=parseInt(C.substr(E[y],5));if(!Number.isNaN(v)){var D=n[v];void 0!==D&&(p>D||void 0===m[D]&&(s.push("covale".concat(f)),u.push("covale"),g.push(r.label_asym_id.str(p)),B.push(r.auth_seq_id.int(p)),c.push(r.label_seq_id.int(p)),l.push(r.label_atom_id.str(p)),Q.push(r.label_asym_id.str(D)),d.push(r.auth_seq_id.int(D)),I.push(r.label_seq_id.int(D)),h.push(r.label_atom_id.str(D)),f+=1))}}}var b={id:Hs.ofStrings(s),conn_type_id:Hs.ofStrings(u),ptnr1_label_asym_id:Hs.ofStrings(g),ptnr1_auth_seq_id:Hs.ofNumbers(B),ptnr1_label_seq_id:Hs.ofNumbers(c),ptnr1_label_atom_id:Hs.ofStrings(l),ptnr2_label_asym_id:Hs.ofStrings(Q),ptnr2_label_seq_id:Hs.ofNumbers(I),ptnr2_auth_seq_id:Hs.ofNumbers(d),ptnr2_label_atom_id:Hs.ofStrings(h)};return Os.ofFields("struct_conn",b)}(e,I[0],I[1],S)),N={entity:Os.ofTable("entity",g.getEntityTable()),chem_comp:Os.ofTable("chem_comp",v.getChemCompTable()),atom_site:Os.ofFields("atom_site",S),atom_site_anisotrop:Os.ofFields("atom_site_anisotrop",iw(u))},R=0,H=c;R<H.length;R++)G=H[R],N[G.name]=G;return[2,{header:A.id||"PDB",categoryNames:Object.keys(N),categories:N}]}))}))}function sw(A){var e=this;return Pe.create("Parse PDB",(function(t){return F(e,void 0,void 0,(function(){var e,r,n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:return[4,t.update("Converting to mmCIF")];case 1:return l.sent(),[4,aw(A)];case 2:return e=l.sent(),[4,fd((r=dc.fromFrame(e,void 0,$b.create(A))).data.db,r,t)];case 3:return n=l.sent(),(i=null===(B=e.categories.atom_site)||void 0===B?void 0:B.getField("partial_charge"))&&1===n.frameCount&&(o=n.representative,a=o.atomicHierarchy.atomSourceIndex,s=XA.isIdentity(a),u=s?void 0:a.toArray({array:Int32Array}),g=i.toFloatArray(),c=u?XA.ofFloatArray(XA.mapToArray(a,(function(A){return g[A]}),Float32Array)):XA.ofFloatArray(g),Xb.Provider.set(o,{data:c,type:"GASTEIGER"})),[2,n]}}))}))}))}function uw(A){var e=this;return Pe.create("Parse PSF",(function(t){return F(e,void 0,void 0,(function(){var e,t,r,n,i,o;return U(this,(function(a){return e=Aw.fromPsf(A),t=function(A){for(var e=new Array(A.count),t=new Array(A.count),r=new Uint32Array(A.count),n=new Uint32Array(A.count),i=new Pb,o=new _b(A.residueId,A.atomName),a="",s=0,u="",g=0,c=A.segmentName.value(0),B=!1,l=0,Q=-1,I=0,d=A.count;I<d;++I){var h=A.residueId.value(I),E=A.segmentName.value(I);if(c!==E?(u=Tb(s),s+=1,g=0,B=!0,c=E):B=!1,B||h!==Q){var f=A.residueName.value(I),C=Xa(o.add(f,I).type,f);B||C===l&&h===Q+1||(u=Tb(s),s+=1,g=0),a=i.getEntityId(f,C,u),g+=1,Q=h,l=C}e[I]=a,t[I]=u,r[I]=g,n[I]=I}var p=$A.ofPartialColumns(PI.atom_site,{auth_asym_id:A.segmentName,auth_atom_id:A.atomName,auth_comp_id:A.residueName,auth_seq_id:A.residueId,id:XA.ofIntArray(n),label_asym_id:XA.ofStringArray(t),label_atom_id:A.atomName,label_comp_id:A.residueName,label_seq_id:XA.ofIntArray(r),label_entity_id:XA.ofStringArray(e),occupancy:XA.ofConst(1,A.count,XA.Schema.float),type_symbol:XA.ofStringArray(XA.mapToArray(A.atomName,(function(A){return Rb(A)}))),pdbx_PDB_model_num:XA.ofConst(1,A.count,XA.Schema.int)},A.count);return JI({entity:i.getEntityTable(),chem_comp:o.getChemCompTable(),atom_site:p})}(A.atoms),r=A.bonds,n=r.atomIdA,i=r.atomIdB,o={indexA:XA.ofLambda({value:function(A){return n.value(A)-1},rowCount:n.rowCount,schema:n.schema}),indexB:XA.ofLambda({value:function(A){return i.value(A)-1},rowCount:i.rowCount,schema:i.schema}),order:XA.ofConst(1,A.bonds.count,XA.Schema.int)},[2,zi.create(A.id,t,o,e)]}))}))}))}function gw(A){return 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4:Gs.addUnchecked(B,e.tokenStart,e.tokenEnd);break;case 5:Gs.addUnchecked(l,e.tokenStart,e.tokenEnd);break;case 6:Gs.addUnchecked(Q,e.tokenStart,e.tokenEnd);break;case 7:Gs.addUnchecked(I,e.tokenStart,e.tokenEnd);break;case 8:Gs.addUnchecked(d,e.tokenStart,e.tokenEnd);break;case 9:Gs.addUnchecked(h,e.tokenStart,e.tokenEnd)}return m+=r,r}),(function(A){return A.update({message:"Parsing...",current:e.position,max:p})}))];case 1:return y.sent(),[2,{count:t.num_atoms,atom_id:Ys(s)(XA.Schema.int),atom_name:Ys(u)(XA.Schema.str),x:Ys(g)(XA.Schema.float),y:Ys(c)(XA.Schema.float),z:Ys(B)(XA.Schema.float),atom_type:a>5?Ys(l)(XA.Schema.str):C,subst_id:a>6?Ys(Q)(XA.Schema.int):f,subst_name:a>7?Ys(I)(XA.Schema.str):C,charge:a>8?Ys(d)(XA.Schema.float):E,status_bit:a>9?Ys(h)(XA.Schema.str):C}]}}))}))}function qw(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s,u,g,c,B,l,Q;return U(this,(function(I){switch(I.label){case 0:for(e=A.tokenizer,t=A.molecule;"@<TRIPOS>BOND"!==Ow(e)&&e.position<e.data.length;)Jw(e);return r=e.position,n=e.lineNumber,i=Kw(e),o=i.trim().split(/\s+/g),a=o.length,s=Gs.create(e.data,2*t.num_bonds),u=Gs.create(e.data,2*t.num_bonds),g=Gs.create(e.data,2*t.num_bonds),c=Gs.create(e.data,2*t.num_bonds),B=Gs.create(e.data,2*t.num_bonds),e.position=r,e.lineNumber=n,l=e.length,Q=0,[4,ze(A.runtimeCtx,1e5,void 0,(function(A){for(var r=Math.min(t.num_bonds-Q,A),n=0;n<r;n++)for(var i=0;i<a;i++)switch(Tw(e),e.tokenStart=e.position,Pw(e),i){case 0:Gs.addUnchecked(s,e.tokenStart,e.tokenEnd);break;case 1:Gs.addUnchecked(u,e.tokenStart,e.tokenEnd);break;case 2:Gs.addUnchecked(g,e.tokenStart,e.tokenEnd);break;case 3:Gs.addUnchecked(c,e.tokenStart,e.tokenEnd);break;default:Gs.addUnchecked(B,e.tokenStart,e.tokenEnd)}return Q+=r,r}),(function(A){return A.update({message:"Parsing...",current:e.position,max:l})}))];case 1:return I.sent(),[2,{count:t.num_bonds,bond_id:Ys(s)(XA.Schema.int),origin_atom_id:Ys(u)(XA.Schema.int),target_atom_id:Ys(g)(XA.Schema.int),bond_type:Ys(c)(XA.Schema.str),status_bits:a>4?Ys(B)(XA.Schema.str):XA.Undefined(t.num_bonds,XA.Schema.str)}]}}))}))}function Zw(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s;return U(this,(function(u){switch(u.label){case 0:r=Ks(e),A.update({message:"Parsing...",current:0,max:e.length}),n=[],u.label=1;case 1:return r.position<e.length?(i=function(A,e){return{tokenizer:A,molecule:{mol_name:"",num_atoms:0,num_bonds:0,num_subst:0,num_feat:0,num_sets:0,mol_type:"",charge_type:"",status_bits:"",mol_comment:""},runtimeCtx:e}}(r,A),function(A){for(var e=A.tokenizer,t=A.molecule;"@<TRIPOS>MOLECULE"!==Ow(e)&&e.position<e.data.length;)Jw(e);Jw(e),t.mol_name=Ow(e),Jw(e);var r=Ow(e).trim().split(jw);t.num_atoms=parseInt(r[0]),t.num_bonds=parseInt(r[1]),t.num_subst=parseInt(r[2]),t.num_feat=parseInt(r[3]),t.num_sets=parseInt(r[4]),Jw(e);var n=Ow(e);if(!n.startsWith("@<TRIPOS>")){t.mol_type=n,Jw(e);var i=Ow(e);if(!i.startsWith("@<TRIPOS>")){t.charge_type=i,Jw(e);var o=Ow(e);if(!o.startsWith("@<TRIPOS>")){t.status_bits=o,Jw(e);var a=Ow(e);a.startsWith("@<TRIPOS>")||(t.mol_comment=a)}}}}(i),[4,zw(i)]):[3,4];case 2:return o=u.sent(),[4,qw(i)];case 3:for(a=u.sent(),n.push({molecule:i.molecule,atoms:o,bonds:a}),Tw(r);"@<TRIPOS>MOLECULE"!==Ow(r)&&r.position<r.data.length;)Jw(r);return[3,1];case 4:return s={name:t,structures:n},[2,Ms.success(s)]}}))}))}function Ww(A,e){var t=this;return Pe.create("Parse MOL2",(function(r){return F(t,void 0,void 0,(function(){return U(this,(function(t){switch(t.label){case 0:return[4,Zw(r,A,e)];case 1:return[2,t.sent()]}}))}))}))}!function(A){A.is=function(A){return"mol2"===(null==A?void 0:A.kind)},A.create=function(A){return{kind:"mol2",name:A.name,data:A}}}(Vw||(Vw={}));var Xw,$w,AF=new Uint32Array([0,0,0,0,0,0,0,0,0,8,10,12,16,20,25,32,40,50,64,80,101,128,161,203,256,322,406,512,645,812,1024,1290,1625,2048,2580,3250,4096,5060,6501,8192,10321,13003,16384,20642,26007,32768,41285,52015,65536,82570,104031,131072,165140,208063,262144,330280,416127,524287,660561,832255,1048576,1321122,1664510,2097152,2642245,3329021,4194304,5284491,6658042,8388607,10568983,13316085,16777216]);function eF(){throw new Error("(xdrfile error) Undefined error.")}function tF(A,e){return F(this,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w,F,S,N,R,H,G,M;return U(this,(function(U){switch(U.label){case 0:t=new DataView(e.buffer,e.byteOffset),n=(r={frames:[],boxes:[],times:[],timeOffset:0,deltaTime:0}).frames,i=r.boxes,o=r.times,a=[0,0,0,0,0,0],s=[0,0,0],u=[0,0,0],g=[0,0,0],c=[.1,.1,.1],B=[.1,.1,.1],l=0,Q=Xw.buf,U.label=1;case 1:for(I=void 0,d=t.getInt32(l+4),l+=12,o.push(t.getFloat32(l)),l+=4,h=new Float32Array(9),S=0;S<9;++S)h[S]=10*t.getFloat32(l),l+=4;if(i.push(h),d<=9)for(I={count:d/3,x:new Float32Array(d/3),y:new Float32Array(d/3),z:new Float32Array(d/3)},S=0;S<d/3;++S)I.x[S]=t.getFloat32(l),I.y[S]=t.getFloat32(l),I.z[S]=t.getFloat32(l),l+=4;else{for(Q[0]=Q[1]=Q[2]=0,s[0]=s[1]=s[2]=0,g[0]=g[1]=g[2]=0,u[0]=u[1]=u[2]=0,c[0]=c[1]=c[2]=0,B[0]=B[1]=B[2]=0,I={count:d,x:new Float32Array(d),y:new Float32Array(d),z:new Float32Array(d)},E=0,f=t.getInt32(l),l+=4,C=t.getFloat32(l),l+=4,a[0]=t.getInt32(l),a[1]=t.getInt32(l+4),a[2]=t.getInt32(l+8),a[3]=t.getInt32(l+12),a[4]=t.getInt32(l+16),a[5]=t.getInt32(l+20),s[0]=a[3]-a[0]+1,s[1]=a[4]-a[1]+1,s[2]=a[5]-a[2]+1,l+=24,p=void 0,(s[0]|s[1]|s[2])>16777215?(u[0]=Xw.sizeOfInt(s[0]),u[1]=Xw.sizeOfInt(s[1]),u[2]=Xw.sizeOfInt(s[2]),p=0):p=Xw.sizeOfInts(3,s),m=t.getInt32(l),l+=4,v=AF[y=9>(y=m-1)?9:y]/2|0,D=AF[m]/2|0,g[0]=g[1]=g[2]=AF[m],b=4*Math.ceil(t.getInt32(l)/4),l+=4,w=1/C,F=0,S=0,c[0]=c[1]=c[2]=0;S<f;){if(0===p?(c[0]=Xw.decodeBits(e,l,u[0]),c[1]=Xw.decodeBits(e,l,u[1]),c[2]=Xw.decodeBits(e,l,u[2])):Xw.decodeInts(e,l,p,s,c),S++,c[0]+=a[0],c[1]+=a[1],c[2]+=a[2],B[0]=c[0],B[1]=c[1],B[2]=c[2],N=Xw.decodeBits(e,l,1),R=0,1===N&&(F=Xw.decodeBits(e,l,5),F-=R=F%3,R--),F>0)for(c[0]=c[1]=c[2]=0,H=0;H<F;H+=3)Xw.decodeInts(e,l,m,g,c),S++,c[0]+=B[0]-D,c[1]+=B[1]-D,c[2]+=B[2]-D,0===H?(G=c[0],c[0]=B[0],B[0]=G,G=c[1],c[1]=B[1],B[1]=G,G=c[2],c[2]=B[2],B[2]=G,I.x[E]=B[0]*w,I.y[E]=B[1]*w,I.z[E]=B[2]*w,E++):(B[0]=c[0],B[1]=c[1],B[2]=c[2]),I.x[E]=c[0]*w,I.y[E]=c[1]*w,I.z[E]=c[2]*w,E++;else I.x[E]=c[0]*w,I.y[E]=c[1]*w,I.z[E]=c[2]*w,E++;m+=R,R<0?(D=v,v=m>9?AF[m-1]/2|0:0):R>0&&(v=D,D=AF[m]/2|0),g[0]=g[1]=g[2]=AF[m],0!==g[0]&&0!==g[1]&&0!==g[2]||eF()}l+=b}for(M=0;M<d;M++)I.x[M]*=10,I.y[M]*=10,I.z[M]*=10;return n.push(I),A.shouldUpdate?[4,A.update({current:l,max:e.length})]:[3,3];case 2:U.sent(),U.label=3;case 3:return l>=e.length?[3,4]:[3,1];case 4:return o.length>=1&&(r.timeOffset=o[0]),o.length>=2&&(r.deltaTime=o[1]-o[0]),[2,r]}}))}))}function rF(A){var e=this;return Pe.create("Parse XTC",(function(t){return F(e,void 0,void 0,(function(){var e,r;return U(this,(function(n){switch(n.label){case 0:return n.trys.push([0,2,,3]),t.update({canAbort:!0,message:"Parsing trajectory..."}),[4,tF(t,A)];case 1:return e=n.sent(),[2,Ms.success(e)];case 2:return r=n.sent(),[2,Ms.error(""+r)];case 3:return[2]}}))}))}))}function nF(A){var e=this;return Pe.create("Parse XTC",(function(t){return F(e,void 0,void 0,(function(){var e,r,n,i,o,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:return[4,t.update("Converting to coordinates")];case 1:for(c.sent(),e=Ao(A.deltaTime,"step"),r=Ao(A.timeOffset,e.unit),n=[],i=0,o=A.frames.length;i<o;++i)a=A.boxes[i],s=gA.fromArray(gA(),a,0),u=gA.fromArray(gA(),a,3),g=gA.fromArray(gA(),a,6),n.push({elementCount:A.frames[i].count,cell:Fb.fromBasis(s,u,g),x:A.frames[i].x,y:A.frames[i].y,z:A.frames[i].z,xyzOrdering:{isIdentity:!0},time:Ao(r.value+e.value*i,e.unit)});return[2,ji.create(n,e,r)]}}))}))}))}function iF(A){var e=A.position>=A.data.length-1?0:+Ks.readLine(A);isNaN(e)&&(e=0);for(var t=Ks.readLine(A),r=new Float64Array(e),n=new Float64Array(e),i=new Float64Array(e),o=new Array(e),a=0;a<e;++a){var s=Ks.readLineTrim(A).split(/\s+/g);o[a]=s[0],r[a]=+s[1],n[a]=+s[2],i[a]=+s[3]}return{count:e,comment:t,x:XA.ofFloatArray(r),y:XA.ofFloatArray(n),z:XA.ofFloatArray(i),type_symbol:XA.ofStringArray(o)}}function oF(A){for(var e=Ks(A),t=[];;){var r=iF(e);if(0===r.count)break;t.push(r)}var n={molecules:t};return Ms.success(n)}function aF(A){var e=this;return Pe.create("Parse Mol",(function(){return F(e,void 0,void 0,(function(){return U(this,(function(e){return[2,oF(A)]}))}))}))}function sF(A){Ks.skipWhitespace(A),Ks.eatValue(A)}function uF(A,e){var t=A.position;Ks.skipWhitespace(A),Ks.eatValue(A),Ks.trim(A,t,A.position),Gs.addUnchecked(e,A.tokenStart,A.tokenEnd)}!function(A){A.sizeOfInt=function(A){for(var e=1,t=0;A>=e&&t<32;)t++,e<<=1;return t};var e=new Uint8Array(32);A.sizeOfInts=function(A,t){var r=1,n=0;e[0]=1;for(var i=0;i<A;i++){var o=void 0,a=0;for(o=0;o<r;o++)a+=e[o]*t[i],e[o]=255&a,a>>=8;for(;0!==a;)e[o++]=255&a,a>>=8;r=o}var s=1;for(r--;e[r]>=s;)n++,s*=2;return n+8*r};var t=new ArrayBuffer(24);A.buf=new Int32Array(t);var r=new Uint32Array(t);function n(e,t,n){for(var i=n,o=(1<<i)-1,a=r[1],s=r[2],u=A.buf[0],g=0;i>=8;)g|=(s=s<<8|e[t+u++])>>a<<i-8,i-=8;return i>0&&(a<i&&(a+=8,s=s<<8|e[t+u++]),g|=s>>(a-=i)&(1<<i)-1),g&=o,A.buf[0]=u,A.buf[1]=a,A.buf[2]=s,g}function i(e,t){var n=r[2],i=A.buf[0];return n=n<<8|e[t+i],A.buf[0]=i+1,A.buf[2]=n,n>>r[1]&255}A.decodeBits=n;var o=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0];A.decodeInts=function(A,e,t,r,a){var s=t,u=0;for(o[0]=0,o[1]=0,o[2]=0,o[3]=0;s>8;)o[u++]=i(A,e),s-=8;s>0&&(o[u++]=n(A,e,s));for(var g=2;g>0;g--){for(var c=0,B=r[g],l=u-1;l>=0;l--){var Q=(c=c<<8|o[l])/B|0;o[l]=Q,c-=Q*B}a[g]=c}a[0]=o[0]|o[1]<<8|o[2]<<16|o[3]<<24}}(Xw||(Xw={})),function(A){A.is=function(A){return"xyz"===(null==A?void 0:A.kind)},A.create=function(A){return{kind:"xyz",name:"xyz",data:A}}}($w||($w={}));var gF,cF="$$$$";function BF(A){var e=Ks.readLine(A).trim(),t=Ks.readLine(A).trim(),r=Ks.readLine(A).trim(),n=Ks.readLine(A),i=n.trim().endsWith("V3000"),o=i?function(A){var e=Gs.create(A.data,1),t=Gs.create(A.data,1);return Ks.eatLine(A),sF(A),sF(A),sF(A),uF(A,e),uF(A,t),Ks.eatLine(A),{atomCount:Ys(e)(XA.Schema.int).value(0),bondCount:Ys(t)(XA.Schema.int).value(0)}}(A):function(A){return{atomCount:+A.substr(0,3),bondCount:+A.substr(3,3)}}(n),a=o.atomCount,s=o.bondCount;if(!Number.isNaN(a)&&!Number.isNaN(s)){var u=i?function(A,e){for(var t=Gs.create(A.data,2*e),r=Gs.create(A.data,2*e),n=Gs.create(A.data,2*e),i=Gs.create(A.data,2*e),o=0;o<e;++o){Ks.markLine(A),sF(A),sF(A),sF(A);var a=A.position;uF(A,i),uF(A,t),uF(A,r),uF(A,n),A.position=a}return Ks.eatLine(A),Ks.eatLine(A),{count:e,x:Ys(t)(XA.Schema.float),y:Ys(r)(XA.Schema.float),z:Ys(n)(XA.Schema.float),type_symbol:Ys(i)(XA.Schema.str)}}(A,a):Lw(A,a),g=i?function(A,e){for(var t=Gs.create(A.data,2*e),r=Gs.create(A.data,2*e),n=Gs.create(A.data,2*e),i=0;i<e;++i){Ks.markLine(A),sF(A),sF(A),sF(A);var o=A.position;uF(A,n),uF(A,t),uF(A,r),A.position=o}return Ks.eatLine(A),Ks.eatLine(A),{count:e,atomIdxA:Ys(t)(XA.Schema.float),atomIdxB:Ys(r)(XA.Schema.float),order:Ys(n)(XA.Schema.float)}}(A,s):xw(A,s),c=function(A){for(var e=Gs.create(A.data,32),t=Gs.create(A.data,32);A.position<A.length;){var r=Ks.readLine(A);if(r.startsWith(cF))break;if(r&&r.startsWith("> ")){Gs.add(e,A.tokenStart+2,A.tokenEnd),Ks.markLine(A);for(var n=A.tokenStart,i=A.tokenEnd,o=!1;A.position<A.length;){var a=Ks.readLine(A);if(!a||a.startsWith(cF)||a.startsWith("> ")){Gs.add(t,n,i),o=!0;break}i=A.tokenEnd}o||Gs.add(t,n,i)}}return{dataHeader:Ys(e)(XA.Schema.str),data:Ys(t)(XA.Schema.str)}}(A);return{molFile:{title:e,program:t,comment:r,atoms:u,bonds:g},dataItems:c}}for(;A.position<A.length&&!Ks.readLine(A).startsWith(cF););}function lF(A){for(var e=Ks(A),t=[];e.position<e.length;){var r=BF(e);r&&t.push(r)}return Ms.success({compounds:t})}function QF(A){var e=this;return Pe.create("Parse Sdf",(function(){return F(e,void 0,void 0,(function(){return U(this,(function(e){return[2,lF(A)]}))}))}))}!function(A){A.is=function(A){return"sdf"===(null==A?void 0:A.kind)},A.create=function(A){return{kind:"sdf",name:A.molFile.title,data:A}}}(gF||(gF={}));var IF=Zf.BuiltIn({name:"coordinates-from-dcd",display:{name:"Parse DCD",description:"Parse DCD binary data."},from:[qf.Data.Binary],to:qf.Molecule.Coordinates})({apply:function(A){var e=this,t=A.a;return Pe.create("Parse DCD",(function(A){return F(e,void 0,void 0,(function(){var e,r;return U(this,(function(n){switch(n.label){case 0:return[4,NC(t.data).runInContext(A)];case 1:if((e=n.sent()).isError)throw new Error(e.message);return[4,Ub(e.result).runInContext(A)];case 2:return r=n.sent(),[2,new qf.Molecule.Coordinates(r,{label:t.label,description:"Coordinates"})]}}))}))}))}}),dF=Zf.BuiltIn({name:"coordinates-from-xtc",display:{name:"Parse XTC",description:"Parse XTC binary data."},from:[qf.Data.Binary],to:qf.Molecule.Coordinates})({apply:function(A){var e=this,t=A.a;return Pe.create("Parse XTC",(function(A){return F(e,void 0,void 0,(function(){var e,r;return U(this,(function(n){switch(n.label){case 0:return[4,rF(t.data).runInContext(A)];case 1:if((e=n.sent()).isError)throw new Error(e.message);return[4,nF(e.result).runInContext(A)];case 2:return r=n.sent(),[2,new qf.Molecule.Coordinates(r,{label:t.label,description:"Coordinates"})]}}))}))}))}}),hF=Zf.BuiltIn({name:"topology-from-psf",display:{name:"PSF Topology",description:"Parse PSF string data."},from:[qf.Format.Psf],to:qf.Molecule.Topology})({apply:function(A){var e=this,t=A.a;return Pe.create("Create Topology",(function(A){return F(e,void 0,void 0,(function(){var e;return U(this,(function(r){switch(r.label){case 0:return[4,uw(t.data).runInContext(A)];case 1:return e=r.sent(),[2,new qf.Molecule.Topology(e,{label:e.label||t.label,description:"Topology"})]}}))}))}))}});function EF(A,e,t){return F(this,void 0,void 0,(function(){var r,n;return U(this,(function(i){switch(i.label){case 0:return e.type!==qf.Molecule.Topology.type?[3,2]:(r=e.data,[4,dd.trajectoryFromTopologyAndCoordinates(r,t).runInContext(A)]);case 1:return[2,i.sent()];case 2:if(e.type===qf.Molecule.Model.type)return n=e.data,[2,dd.trajectoryFromModelAndCoordinates(n,t)];i.label=3;case 3:throw new Error("no model/topology found")}}))}))}var fF=Zf.BuiltIn({name:"trajectory-from-model-and-coordinates",display:{name:"Trajectory from Topology & Coordinates",description:"Create a trajectory from existing model/topology and coordinates."},from:qf.Root,to:qf.Molecule.Trajectory,params:{modelRef:ir.Text("",{isHidden:!0}),coordinatesRef:ir.Text("",{isHidden:!0})}})({apply:function(A){var e=this,t=A.params,r=A.dependencies;return Pe.create("Create trajectory from model/topology and coordinates",(function(A){return F(e,void 0,void 0,(function(){var e,n,i;return U(this,(function(o){switch(o.label){case 0:return e=r[t.coordinatesRef].data,[4,EF(A,r[t.modelRef],e)];case 1:return n=o.sent(),i={label:"Trajectory",description:"".concat(n.frameCount," model").concat(1===n.frameCount?"":"s")},[2,new qf.Molecule.Trajectory(n,i)]}}))}))}))}}),CF=Zf.BuiltIn({name:"trajectory-from-blob",display:{name:"Parse Blob",description:"Parse format blob into a single trajectory."},from:qf.Format.Blob,to:qf.Molecule.Trajectory})({apply:function(A){var e=this,t=A.a;return Pe.create("Parse Format Blob",(function(A){return F(e,void 0,void 0,(function(){var e,r,n,i,o,a,s,u;return U(this,(function(g){switch(g.label){case 0:e=[],r=0,n=t.data,g.label=1;case 1:return r<n.length?"cif"!==(i=n[r]).kind?[3,6]:[4,Dc(i.data.blocks[0]).runInContext(A)]:[3,7];case 2:if(0===(o=g.sent()).frameCount)throw new Error("No models found.");s=0,g.label=3;case 3:return s<o.frameCount?[4,Pe.resolveInContext(o.getFrameAtIndex(s),A)]:[3,6];case 4:a=g.sent(),e.push(a),g.label=5;case 5:return s++,[3,3];case 6:return r++,[3,1];case 7:for(s=0;s<e.length;s++)dd.TrajectoryInfo.set(e[s],{index:s,size:e.length});return u={label:"Trajectory",description:"".concat(e.length," model").concat(1===e.length?"":"s")},[2,new qf.Molecule.Trajectory(new Ed(e),u)]}}))}))}))}});function pF(A){var e=A.representative;return{label:"".concat(e.entry),description:"".concat(A.frameCount," model").concat(1===A.frameCount?"":"s")}}var mF=Zf.BuiltIn({name:"trajectory-from-mmcif",display:{name:"Trajectory from mmCIF",description:"Identify and create all separate models in the specified CIF data block"},from:qf.Format.Cif,to:qf.Molecule.Trajectory,params:function(A){if(!A)return{blockHeader:ir.Optional(ir.Text(void 0,{description:"Header of the block to parse. 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qf.Molecule.Trajectory(r,n)]}var o}))}))}))}}),bF=Zf.BuiltIn({name:"trajectory-from-mol",display:{name:"Parse MOL",description:"Parse MOL string and create trajectory."},from:[qf.Data.String],to:qf.Molecule.Trajectory})({apply:function(A){var e=this,t=A.a;return Pe.create("Parse MOL",(function(A){return F(e,void 0,void 0,(function(){var e,r,n;return U(this,(function(i){switch(i.label){case 0:return[4,Yw(t.data).runInContext(A)];case 1:if((e=i.sent()).isError)throw new Error(e.message);return[4,(o=e.result,Pe.create("Parse MOL",(function(A){return _w(o,void 0,A)}))).runInContext(A)];case 2:return r=i.sent(),n=pF(r),[2,new qf.Molecule.Trajectory(r,n)]}var o}))}))}))}}),wF=Zf.BuiltIn({name:"trajectory-from-sdf",display:{name:"Parse SDF",description:"Parse SDF string and create trajectory."},from:[qf.Data.String],to:qf.Molecule.Trajectory})({apply:function(A){var e=this,t=A.a;return Pe.create("Parse SDF",(function(A){return F(e,void 0,void 0,(function(){var e,r,n,i,o,a,s,u,g,c,B;return 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i}))}))}))}}),SF=Zf.BuiltIn({name:"trajectory-from-cif-core",display:{name:"Parse CIF Core",description:"Identify and create all separate models in the specified CIF data block"},from:qf.Format.Cif,to:qf.Molecule.Trajectory,params:function(A){if(!A)return{blockHeader:ir.Optional(ir.Text(void 0,{description:"Header of the block to parse. 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".concat(t.data.frameCount),[2,new qf.Molecule.Model(n,{label:i,description:o})]}}))}))}))},interpolate:function(A,e,t){return{modelIndex:t>=1?e.modelIndex:A.modelIndex+Math.floor((e.modelIndex-A.modelIndex+1)*t)}},dispose:function(A){var e=A.b;null==e||e.data.customProperties.dispose()}}),GF=Zf.BuiltIn({name:"structure-from-trajectory",display:{name:"Structure from Trajectory",description:"Create a molecular structure from a trajectory."},from:qf.Molecule.Trajectory,to:qf.Molecule.Structure})({apply:function(A){var e=this,t=A.a;return Pe.create("Build Structure",(function(A){return F(e,void 0,void 0,(function(){var e,r;return U(this,(function(n){switch(n.label){case 0:return[4,BI.ofTrajectory(t.data,A)];case 1:return e=n.sent(),r={label:"Ensemble",description:BI.elementDescription(e)},[2,new qf.Molecule.Structure(e,r)]}}))}))}))},dispose:function(A){var e=A.b;null==e||e.data.customPropertyDescriptors.dispose()}}),MF=Zf.BuiltIn({name:"structure-from-model",display:{name:"Structure",description:"Create a molecular structure (model, assembly, or symmetry) from the specified model."},from:qf.Molecule.Model,to:qf.Molecule.Structure,params:function(A){return Sw.getParams(A&&A.data)}})({canAutoUpdate:function(A){var e=A.oldParams,t=A.newParams;return Sw.canAutoUpdate(e.type,t.type)},apply:function(A,e){var t=this,r=A.a,n=A.params;return Pe.create("Build Structure",(function(A){return F(t,void 0,void 0,(function(){return U(this,(function(t){return[2,Sw.create(e,A,r.data,n&&n.type)]}))}))}))},update:function(A){var e=A.a,t=A.b;return J(A.oldParams,A.newParams)?t.data.model===e.data?Hd.UpdateResult.Unchanged:dd.areHierarchiesEqual(e.data,t.data.model)?(t.data=t.data.remapModel(e.data),Hd.UpdateResult.Updated):Hd.UpdateResult.Recreate:Hd.UpdateResult.Recreate},dispose:function(A){var e=A.b;null==e||e.data.customPropertyDescriptors.dispose()}}),LF=gA(),xF=nA(),kF=nA(),YF=Zf.BuiltIn({name:"transform-structure-conformation",display:{name:"Transform Conformation"},isDecorator:!0,from:qf.Molecule.Structure,to:qf.Molecule.Structure,params:{transform:ir.MappedStatic("components",{components:ir.Group({axis:ir.Vec3(gA.create(1,0,0)),angle:ir.Numeric(0,{min:-180,max:180,step:.1}),translation:ir.Vec3(gA.create(0,0,0))},{isFlat:!0}),matrix:ir.Group({data:ir.Mat4(nA.identity()),transpose:ir.Boolean(!1)},{isFlat:!0})},{label:"Kind"})}})({canAutoUpdate:function(A){return"matrix"!==A.newParams.transform.name},apply:function(A){var e=A.a,t=A.params,r=nA();if("components"===t.transform.name){var n=t.transform.params,i=n.axis,o=n.angle,a=n.translation,s=e.data.boundary.sphere.center;nA.fromTranslation(xF,gA.negate(LF,s)),nA.fromTranslation(kF,gA.add(LF,s,a));var u=nA.fromRotation(nA(),Math.PI/180*o,gA.normalize(gA(),i));nA.mul3(r,kF,u,xF)}else"matrix"===t.transform.name&&(nA.copy(r,t.transform.params.data),t.transform.params.transpose&&nA.transpose(r,r));var g=BI.transform(e.data,r);return new qf.Molecule.Structure(g,{label:e.label,description:"".concat(e.description," [Transformed]")})},dispose:function(A){var e=A.b;null==e||e.data.customPropertyDescriptors.dispose()}}),_F=Zf.BuiltIn({name:"structure-selection-from-expression",display:{name:"Selection",description:"Create a molecular structure from the specified expression."},from:qf.Molecule.Structure,to:qf.Molecule.Structure,params:function(){return{expression:ir.Value(Oc.struct.generator.all,{isHidden:!0}),label:ir.Optional(ir.Text("",{isHidden:!0}))}}})({apply:function(A){var e=A.a,t=A.params,r=A.cache,n=Nw.createAndRun(e.data,t.expression),i=n.selection,o=n.entry;if(r.entry=o,KB.isEmpty(i))return Dd.Null;var a=KB.unionStructure(i),s={label:"".concat(t.label||"Selection"),description:BI.elementDescription(a)};return new qf.Molecule.Structure(a,s)},update:function(A){var e=A.a,t=A.b,r=A.oldParams,n=A.newParams,i=A.cache;if(r.expression!==n.expression)return Hd.UpdateResult.Recreate;var o=i.entry;if(o.currentStructure===e.data)return Hd.UpdateResult.Unchanged;var a=Nw.updateStructure(o,e.data);return KB.isEmpty(a)?Hd.UpdateResult.Null:(Nw.updateStructureObject(t,a,n.label),Hd.UpdateResult.Updated)},dispose:function(A){var e=A.b;null==e||e.data.customPropertyDescriptors.dispose()}}),VF=Zf.BuiltIn({name:"structure-multi-selection-from-expression",display:{name:"Multi-structure Measurement Selection",description:"Create selection object from multiple structures."},from:qf.Root,to:qf.Molecule.Structure.Selections,params:function(){return{selections:ir.ObjectList({key:ir.Text(void 0,{description:"A unique key."}),ref:ir.Text(),groupId:ir.Optional(ir.Text()),expression:ir.Value(Oc.struct.generator.empty)},(function(A){return A.ref}),{isHidden:!0}),isTransitive:ir.Optional(ir.Boolean(!1,{isHidden:!0,description:"Remap the selections from the original structure if structurally equivalent."})),label:ir.Optional(ir.Text("",{isHidden:!0}))}}})({apply:function(A){for(var e=A.params,t=A.cache,r=A.dependencies,n=new Map,i=[],o=0,a=0,s=e.selections;a<s.length;a++){var u=s[a],g=Nw.createAndRun(r[u.ref].data,u.expression),c=g.selection,B=g.entry;n.set(u.key,B);var l=KB.toLociWithSourceUnits(c);i.push({key:u.key,loci:l,groupId:u.groupId}),o+=dI.size(l)}t.entries=n;var Q={label:"".concat(e.label||"Multi-selection"),description:"".concat(e.selections.length," source(s), ").concat(o," element(s) total")};return new qf.Molecule.Structure.Selections(i,Q)},update:function(A){var e=A.b,t=A.oldParams,r=A.newParams,n=A.cache,i=A.dependencies;if(!!t.isTransitive!=!!r.isTransitive)return Hd.UpdateResult.Recreate;for(var o=n.entries,a=new Map,s=new Map,u=0,g=e.data;u<g.length;u++){var c=g[u];s.set(c.key,c)}for(var B=!1,l=0,Q=[],I=0,d=r.selections;I<d.length;I++){var h=d[I],E=i[h.ref].data,f=!1;if(o.has(h.key)){var C=o.get(h.key);if(Nw.isUnchanged(C,h.expression,E)&&s.has(h.key)){(y=s.get(h.key)).groupId!==h.groupId&&(y.groupId=h.groupId,B=!0),a.set(h.key,C),Q.push(y),l+=dI.size(y.loci);continue}if(C.expression!==h.expression)f=!0;else{var p=!1;if(r.isTransitive)if(BI.areUnitIdsAndIndicesEqual(C.originalStructure,E)){var m=Nw.run(C,C.originalStructure);C.currentStructure=E,a.set(h.key,C);var y=dI.remap(KB.toLociWithSourceUnits(m),E);Q.push({key:h.key,loci:y,groupId:h.groupId}),l+=dI.size(y),B=!0}else p=!0;else p=!0;p&&(B=!0,m=Nw.updateStructure(C,E),a.set(h.key,C),y=KB.toLociWithSourceUnits(m),Q.push({key:h.key,loci:y,groupId:h.groupId}),l+=dI.size(y))}}else f=!0;if(f){B=!0;var v=Nw.createAndRun(E,h.expression);m=v.selection,C=v.entry,a.set(h.key,C),y=KB.toLociWithSourceUnits(m),Q.push({key:h.key,loci:y}),l+=dI.size(y)}}return B?(n.entries=a,e.data=Q,e.label="".concat(r.label||"Multi-selection"),e.description="".concat(Q.length," source(s), ").concat(l," element(s) total"),Hd.UpdateResult.Updated):Hd.UpdateResult.Unchanged}}),TF=Zf.BuiltIn({name:"structure-selection-from-script",display:{name:"Selection",description:"Create a molecular structure from the specified script."},from:qf.Molecule.Structure,to:qf.Molecule.Structure,params:function(){return{script:ir.Script({language:"mol-script",expression:"(sel.atom.atom-groups :residue-test (= atom.resname ALA))"}),label:ir.Optional(ir.Text(""))}}})({apply:function(A){var e=A.a,t=A.params,r=A.cache,n=Nw.createAndRun(e.data,t.script),i=n.selection,o=n.entry;r.entry=o;var a=KB.unionStructure(i),s={label:"".concat(t.label||"Selection"),description:BI.elementDescription(a)};return new qf.Molecule.Structure(a,s)},update:function(A){var e=A.a,t=A.b,r=A.oldParams,n=A.newParams,i=A.cache;if(!Uw.areEqual(r.script,n.script))return Hd.UpdateResult.Recreate;var o=i.entry;if(o.currentStructure===e.data)return Hd.UpdateResult.Unchanged;var a=Nw.updateStructure(o,e.data);return Nw.updateStructureObject(t,a,n.label),Hd.UpdateResult.Updated},dispose:function(A){var e=A.b;null==e||e.data.customPropertyDescriptors.dispose()}}),PF=Zf.BuiltIn({name:"structure-selection-from-bundle",display:{name:"Selection",description:"Create a molecular structure from the specified structure-element bundle."},from:qf.Molecule.Structure,to:qf.Molecule.Structure,params:function(){return{bundle:ir.Value(jB.Empty,{isHidden:!0}),label:ir.Optional(ir.Text("",{isHidden:!0}))}}})({apply:function(A){var e=A.a,t=A.params,r=A.cache;if(t.bundle.hash!==e.data.hashCode)return Dd.Null;r.source=e.data;var n=jB.toStructure(t.bundle,e.data);if(0===n.elementCount)return Dd.Null;var i={label:"".concat(t.label||"Selection"),description:BI.elementDescription(n)};return new qf.Molecule.Structure(n,i)},update:function(A){var e=A.a,t=A.b,r=A.oldParams,n=A.newParams,i=A.cache;if(!jB.areEqual(r.bundle,n.bundle))return Hd.UpdateResult.Recreate;if(n.bundle.hash!==e.data.hashCode)return Hd.UpdateResult.Null;if(i.source===e.data)return Hd.UpdateResult.Unchanged;i.source=e.data;var o=jB.toStructure(n.bundle,e.data);return 0===o.elementCount?Hd.UpdateResult.Null:(t.label="".concat(n.label||"Selection"),t.description=BI.elementDescription(o),t.data=o,Hd.UpdateResult.Updated)},dispose:function(A){var e=A.b;null==e||e.data.customPropertyDescriptors.dispose()}}),JF={polymer:"polymer",protein:"protein",nucleic:"nucleic",water:"water",branched:"branched",ligand:"ligand","non-standard":"non-standard",coarse:"coarse","atomic-sequence":"atomic-sequence","atomic-het":"atomic-het",spheres:"spheres"},OF=ir.objectToOptions(JF),KF=Zf.BuiltIn({name:"structure-complex-element",display:{name:"Complex Element",description:"Create a molecular structure from the specified model."},from:qf.Molecule.Structure,to:qf.Molecule.Structure,params:{type:ir.Select("atomic-sequence",OF,{isHidden:!0})}})({apply:function(A){var e,t,r=A.a,n=A.params;switch(n.type){case"polymer":e=bL.polymer.query,t="Polymer";break;case"protein":e=bL.protein.query,t="Protein";break;case"nucleic":e=bL.nucleic.query,t="Nucleic";break;case"water":e=OQ.internal.water(),t="Water";break;case"branched":e=bL.branchedPlusConnected.query,t="Branched";break;case"ligand":e=bL.ligandPlusConnected.query,t="Ligand";break;case"non-standard":e=bL.nonStandardPolymer.query,t="Non-standard";break;case"coarse":e=bL.coarse.query,t="Coarse";break;case"atomic-sequence":e=OQ.internal.atomicSequence(),t="Sequence";break;case"atomic-het":e=OQ.internal.atomicHet(),t="HET Groups/Ligands";break;case"spheres":e=OQ.internal.spheres(),t="Coarse Spheres";break;default:throw new Error("".concat(n.type," is a not valid complex element."))}var i=e(new ul(r.data)),o=KB.unionStructure(i);return 0===o.elementCount?Dd.Null:new qf.Molecule.Structure(o,{label:t,description:BI.elementDescription(o)})},dispose:function(A){var e=A.b;null==e||e.data.customPropertyDescriptors.dispose()}}),jF=Zf.BuiltIn({name:"structure-component",display:{name:"Component",description:"A molecular structure component."},from:qf.Molecule.Structure,to:qf.Molecule.Structure,params:function(){return{type:ir.MappedStatic("static",{static:ir.Text("polymer"),expression:ir.Value(Oc.struct.generator.all),bundle:ir.Value(jB.Empty),script:ir.Script({language:"mol-script",expression:"(sel.atom.all)"})},{isHidden:!0}),nullIfEmpty:ir.Optional(ir.Boolean(!0,{isHidden:!0})),label:ir.Text("",{isHidden:!0})}}})({apply:function(A){var e=A.a,t=A.params,r=A.cache;return function(A,e,t){t.source=A;var r=BI.Empty,n=void 0;switch(e.type.name){case"static":var i=void 0;switch(e.type.params){case"all":i=bL.all.query,n="All";break;case"polymer":i=bL.polymer.query,n="Polymer";break;case"protein":i=bL.protein.query,n="Protein";break;case"nucleic":i=bL.nucleic.query,n="Nucleic";break;case"water":i=OQ.internal.water(),n="Water";break;case"ion":i=bL.ion.query,n="Ion";break;case"lipid":i=bL.lipid.query,n="Lipid";break;case"branched":i=bL.branchedPlusConnected.query,n="Branched";break;case"ligand":i=bL.ligandPlusConnected.query,n="Ligand";break;case"non-standard":i=bL.nonStandardPolymer.query,n="Non-standard";break;case"coarse":i=bL.coarse.query,n="Coarse";break;default:throw new Error("".concat(e.type," is a not valid complex element."))}var o=i(new ul(A));r=KB.unionStructure(o);break;case"script":case"expression":var a=Nw.createAndRun(A,e.type.params),s=a.selection,u=a.entry;t.entry=u,r=KB.unionStructure(s);break;case"bundle":if(e.type.params.hash!==A.hashCode)break;r=jB.toStructure(e.type.params,A)}if(e.nullIfEmpty&&0===r.elementCount)return Dd.Null;var g={label:"".concat(e.label||n||"Component"),description:BI.elementDescription(r)};return new qf.Molecule.Structure(r,g)}(e.data,t,r)},update:function(A){var e=A.a,t=A.b,r=A.oldParams,n=A.newParams,i=A.cache;return function(A,e,t,r,n){if(t.type.name!==r.type.name)return Hd.UpdateResult.Recreate;var i=!1;switch(r.type.name){case"static":return t.type.params!==r.type.params?Hd.UpdateResult.Recreate:BI.areEquivalent(A,n.source)?e.data.model===A.model?Hd.UpdateResult.Unchanged:dd.areHierarchiesEqual(A.model,e.data.model)?(e.data=e.data.remapModel(A.model),Hd.UpdateResult.Updated):Hd.UpdateResult.Recreate:Hd.UpdateResult.Recreate;case"script":if(!Uw.areEqual(t.type.params,r.type.params))return Hd.UpdateResult.Recreate;case"expression":if(t.type.params!==r.type.params)return Hd.UpdateResult.Recreate;if(A===n.source)break;var o=n.entry,a=Nw.updateStructure(o,A);n.source=A,e.data=KB.unionStructure(a),Nw.updateStructureObject(e,a,r.label),i=!0;break;case"bundle":if(A===n.source&&jB.areEqual(t.type.params,r.type.params))break;n.source=A,r.type.params.hash!==A.hashCode?(i=0!==e.data.elementCount,e.data=0===e.data.elementCount?e.data:BI.Empty):(i=!0,e.data=jB.toStructure(r.type.params,A))}if(i){if(r.nullIfEmpty&&0===e.data.elementCount)return Hd.UpdateResult.Null;e.description=BI.elementDescription(e.data)}return t.label!==r.label&&(i=!0,e.label="".concat(r.label||e.label)),i?Hd.UpdateResult.Updated:Hd.UpdateResult.Unchanged}(e.data,t,r,n,i)},dispose:function(A){var e=A.b;null==e||e.data.customPropertyDescriptors.dispose()}}),zF=Zf.BuiltIn({name:"custom-model-properties",display:{name:"Custom Model Properties"},isDecorator:!0,from:qf.Molecule.Model,to:qf.Molecule.Model,params:function(A,e){return e.customModelProperties.getParams(null==A?void 0:A.data)}})({apply:function(A,e){var t=this,r=A.a,n=A.params;return Pe.create("Custom Props",(function(A){return F(t,void 0,void 0,(function(){return U(this,(function(t){switch(t.label){case 0:return[4,qF(r.data,e,A,n)];case 1:return t.sent(),[2,new qf.Molecule.Model(r.data,{label:r.label,description:r.description})]}}))}))}))},update:function(A,e){var t=this,r=A.a,n=A.b,i=A.oldParams,o=A.newParams;return Pe.create("Custom Props",(function(A){return F(t,void 0,void 0,(function(){var t,a,s,u;return U(this,(function(g){switch(g.label){case 0:for(n.data=r.data,n.label=r.label,n.description=r.description,t=0,a=i.autoAttach;t<a.length;t++)s=a[t],(u=e.customModelProperties.get(s))&&r.data.customProperties.reference(u.descriptor,!1);return[4,qF(r.data,e,A,o)];case 1:return g.sent(),[2,Hd.UpdateResult.Updated]}}))}))}))},dispose:function(A){var e=A.b;null==e||e.data.customProperties.dispose()}});function qF(A,e,t,r){return F(this,void 0,void 0,(function(){var n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:n={runtime:t,assetManager:e.managers.asset},i=r.autoAttach,o=r.properties,a=0,s=Object.keys(o),l.label=1;case 1:if(!(a<s.length))return[3,8];if(u=s[a],g=e.customModelProperties.get(u),c=o[u],!i.includes(u)&&!g.isHidden)return[3,6];l.label=2;case 2:return l.trys.push([2,4,,5]),[4,g.attach(n,A,c,!0)];case 3:return l.sent(),[3,5];case 4:return B=l.sent(),e.log.warn("Error attaching model prop '".concat(u,"': ").concat(B)),[3,5];case 5:return[3,7];case 6:g.set(A,c),l.label=7;case 7:return a++,[3,1];case 8:return[2]}}))}))}var ZF=Zf.BuiltIn({name:"custom-structure-properties",display:{name:"Custom Structure Properties"},isDecorator:!0,from:qf.Molecule.Structure,to:qf.Molecule.Structure,params:function(A,e){return e.customStructureProperties.getParams(null==A?void 0:A.data.root)}})({apply:function(A,e){var t=this,r=A.a,n=A.params;return Pe.create("Custom Props",(function(A){return F(t,void 0,void 0,(function(){return U(this,(function(t){switch(t.label){case 0:return[4,WF(r.data.root,e,A,n)];case 1:return t.sent(),[2,new qf.Molecule.Structure(r.data,{label:r.label,description:r.description})]}}))}))}))},update:function(A,e){var t=this,r=A.a,n=A.b,i=A.oldParams,o=A.newParams;return r.data!==n.data?Hd.UpdateResult.Recreate:Pe.create("Custom Props",(function(A){return F(t,void 0,void 0,(function(){var t,a,s,u;return U(this,(function(g){switch(g.label){case 0:for(n.data=r.data,n.label=r.label,n.description=r.description,t=0,a=i.autoAttach;t<a.length;t++)s=a[t],(u=e.customStructureProperties.get(s))&&r.data.customPropertyDescriptors.reference(u.descriptor,!1);return[4,WF(r.data.root,e,A,o)];case 1:return g.sent(),[2,Hd.UpdateResult.Updated]}}))}))}))},dispose:function(A){var e=A.b;null==e||e.data.customPropertyDescriptors.dispose()}});function WF(A,e,t,r){return F(this,void 0,void 0,(function(){var n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:n={runtime:t,assetManager:e.managers.asset},i=r.autoAttach,o=r.properties,a=0,s=Object.keys(o),l.label=1;case 1:if(!(a<s.length))return[3,8];if(u=s[a],g=e.customStructureProperties.get(u),c=o[u],!i.includes(u)&&!g.isHidden)return[3,6];l.label=2;case 2:return l.trys.push([2,4,,5]),[4,g.attach(n,A,c,!0)];case 3:return l.sent(),[3,5];case 4:return B=l.sent(),e.log.warn("Error attaching structure prop '".concat(u,"': ").concat(B)),[3,5];case 5:return[3,7];case 6:g.set(A,c),l.label=7;case 7:return a++,[3,1];case 8:return[2]}}))}))}var XF,$F,AU,eU,tU=Zf.BuiltIn({name:"shape-from-ply",display:{name:"Shape from PLY",description:"Create Shape from PLY data"},from:qf.Format.Ply,to:qf.Shape.Provider,params:function(A){return{}}})({apply:function(A){var e=this,t=A.a;return A.params,Pe.create("Create shape from PLY",(function(A){return F(e,void 0,void 0,(function(){var e,r;return U(this,(function(n){switch(n.label){case 0:return[4,wb(t.data).runInContext(A)];case 1:return e=n.sent(),r={label:"Shape"},[2,new qf.Shape.Provider(e,r)]}}))}))}))}});function rU(A,e){var t=this;return Pe.create("Create Volume",(function(r){return F(t,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E;return U(this,(function(f){return t=A.header,r=A.values,n=gA.create(t.xLength,t.yLength,t.zLength),e&&e.voxelSize&&gA.mul(n,n,e.voxelSize),i=gA.create(eA(t.alpha),eA(t.beta),eA(t.gamma)),o=t.ISPG>65536?0:t.ISPG,a=Ds.create(o||"P 1",n,i),s=gA.create(t.MAPC-1,t.MAPR-1,t.MAPS-1),u=X.convertToCanonicalAxisIndicesFastToSlow(s),g=[t.NX,t.NY,t.NZ],c=u([t.NC,t.NR,t.NS]),B=function(A){return 0===A.originX&&0===A.originY&&0===A.originZ?gA.create(A.NCSTART,A.NRSTART,A.NSSTART):gA.create(A.originX/(A.xLength/A.NX),A.originY/(A.yLength/A.NY),A.originZ/(A.zLength/A.NZ))}(t),(null==e?void 0:e.offset)&&gA.add(B,B,e.offset),l=u(B),Q=gA.create(l[0]/g[0],l[1]/g[1],l[2]/g[2]),I=gA.create(c[0]/g[0],c[1]/g[1],c[2]/g[2]),d=X.Space(c,X.invertAxisOrder(s),function(A){var e=Gf(A);switch(e){case pf.Float32:return Float32Array;case pf.Int8:return Int8Array;case pf.Int16:return Int16Array;case pf.Uint16:return Uint16Array}throw Error("".concat(e," is not a supported value format."))}(t)),h=X.create(d,X.Data1(r)),E=0===t.AMIN&&0===t.AMAX&&0===t.AMEAN&&0===t.ARMS,[2,{label:null==e?void 0:e.label,entryId:null==e?void 0:e.entryId,grid:{transform:{kind:"spacegroup",cell:a,fractionalBox:Ns.create(Q,gA.add(gA.zero(),Q,I))},cells:h,stats:{min:isNaN(t.AMIN)||E?Br(r):t.AMIN,max:isNaN(t.AMAX)||E?cr(r):t.AMAX,mean:isNaN(t.AMEAN)||E?Ir(r):t.AMEAN,sigma:isNaN(t.ARMS)||0===t.ARMS?dr(r):t.ARMS}},sourceData:XF.create(A),customProperties:new ro,_propertyData:Object.create(null)}]}))}))}))}function nU(A,e){var t=this;return Pe.create("Create Volume",(function(r){return F(t,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c;return U(this,(function(B){return t=A.volume_data_3d_info,r=A.volume_data_3d,n=Ds.create(t.spacegroup_number.value(0),gA.ofArray(t.spacegroup_cell_size.value(0)),gA.scale(gA.zero(),gA.ofArray(t.spacegroup_cell_angles.value(0)),Math.PI/180)),i=t.axis_order.value(0),o=X.convertToCanonicalAxisIndicesFastToSlow(i),a=o(t.sample_count.value(0)),s=X.Space(a,X.invertAxisOrder(i),Float32Array),u=X.create(s,X.Data1(r.values.toArray({array:Float32Array}))),g=gA.ofArray(o(t.origin.value(0))),c=gA.ofArray(o(t.dimensions.value(0))),[2,{label:null==e?void 0:e.label,entryId:null==e?void 0:e.entryId,grid:{transform:{kind:"spacegroup",cell:n,fractionalBox:Ns.create(g,gA.add(gA.zero(),g,c))},cells:u,stats:{min:t.min_sampled.value(0),max:t.max_sampled.value(0),mean:t.mean_sampled.value(0),sigma:t.sigma_sampled.value(0)}},sourceData:$F.create(A),customProperties:new ro,_propertyData:Object.create(null)}]}))}))}))}function iU(A,e){var t=this;return Pe.create("Create Volume",(function(r){return F(t,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B,l;return U(this,(function(Q){return t=A.header,r=A.values,n=gA.create(t.xlen,t.ylen,t.zlen),e&&e.voxelSize&&gA.mul(n,n,e.voxelSize),i=gA.create(eA(t.alpha),eA(t.beta),eA(t.gamma)),o=Ds.create("P 1",n,i),a=[t.xRate,t.yRate,t.zRate],s=[t.xExtent,t.yExtent,t.zExtent],u=[t.xStart,t.yStart,t.zStart],g=gA.create(u[0]/a[0],u[1]/a[1],u[2]/a[2]),c=gA.create(s[0]/a[0],s[1]/a[1],s[2]/a[2]),B=X.Space(s,[0,1,2],Float32Array),l=X.create(B,X.Data1(r)),[2,{label:null==e?void 0:e.label,entryId:null==e?void 0:e.entryId,grid:{transform:{kind:"spacegroup",cell:o,fractionalBox:Ns.create(g,gA.add(gA.zero(),g,c))},cells:l,stats:{min:Br(r),max:cr(r),mean:Ir(r),sigma:void 0!==t.sigma?t.sigma:dr(r)}},sourceData:AU.create(A),customProperties:new ro,_propertyData:Object.create(null)}]}))}))}))}function oU(A,e){var t=this;return Pe.create("Create Volume",(function(){return F(t,void 0,void 0,(function(){var t,r,n,i,o,a;return U(this,(function(s){return t=A.header,r=A.values,n=X.Space(t.dim,[0,1,2],Float64Array),i=X.create(n,X.Data1(r)),o=nA.fromTranslation(nA(),t.min),a=nA.fromScaling(nA(),t.h),nA.mul(o,o,a),[2,{label:null==e?void 0:e.label,entryId:null==e?void 0:e.entryId,grid:{transform:{kind:"matrix",matrix:o},cells:i,stats:{min:Br(r),max:cr(r),mean:Ir(r),sigma:dr(r)}},sourceData:eU.create(A),customProperties:new ro,_propertyData:Object.create(null)}]}))}))}))}!function(A){A.is=function(A){return"ccp4"===(null==A?void 0:A.kind)},A.create=function(A){return{kind:"ccp4",name:A.name,data:A}}}(XF||(XF={})),function(A){A.is=function(A){return"dscif"===(null==A?void 0:A.kind)},A.create=function(A){return{kind:"dscif",name:A._name,data:A}}}($F||($F={})),function(A){A.is=function(A){return"dsn6"===(null==A?void 0:A.kind)},A.create=function(A){return{kind:"dsn6",name:A.name,data:A}}}(AU||(AU={})),function(A){A.is=function(A){return"dx"===(null==A?void 0:A.kind)},A.create=function(A){return{kind:"dx",name:A.name,data:A}}}(eU||(eU={}));var aU=Zf.BuiltIn({name:"volume-from-ccp4",display:{name:"Volume from CCP4/MRC/MAP",description:"Create Volume from CCP4/MRC/MAP data"},from:qf.Format.Ccp4,to:qf.Volume.Data,params:function(A){return{voxelSize:ir.Vec3(gA.create(1,1,1)),offset:ir.Vec3(gA.create(0,0,0)),entryId:ir.Text("")}}})({apply:function(A){var e=this,t=A.a,r=A.params;return Pe.create("Create volume from CCP4/MRC/MAP",(function(A){return F(e,void 0,void 0,(function(){var e,n;return U(this,(function(i){switch(i.label){case 0:return[4,rU(t.data,w(w({},r),{label:t.data.name||t.label})).runInContext(A)];case 1:return e=i.sent(),n={label:e.label||"Volume",description:"Volume ".concat(t.data.header.NX,"×").concat(t.data.header.NX,"×").concat(t.data.header.NX)},[2,new qf.Volume.Data(e,n)]}}))}))}))},dispose:function(A){var e=A.b;null==e||e.data.customProperties.dispose()}}),sU=Zf.BuiltIn({name:"volume-from-dsn6",display:{name:"Volume from DSN6/BRIX",description:"Create Volume from DSN6/BRIX data"},from:qf.Format.Dsn6,to:qf.Volume.Data,params:function(A){return{voxelSize:ir.Vec3(gA.create(1,1,1)),entryId:ir.Text("")}}})({apply:function(A){var e=this,t=A.a,r=A.params;return Pe.create("Create volume from DSN6/BRIX",(function(A){return F(e,void 0,void 0,(function(){var e,n;return U(this,(function(i){switch(i.label){case 0:return[4,iU(t.data,w(w({},r),{label:t.data.name||t.label})).runInContext(A)];case 1:return e=i.sent(),n={label:e.label||"Volume",description:"Volume ".concat(t.data.header.xExtent,"×").concat(t.data.header.yExtent,"×").concat(t.data.header.zExtent)},[2,new qf.Volume.Data(e,n)]}}))}))}))},dispose:function(A){var e=A.b;null==e||e.data.customProperties.dispose()}}),uU=Zf.BuiltIn({name:"volume-from-cube",display:{name:"Volume from Cube",description:"Create Volume from Cube data"},from:qf.Format.Cube,to:qf.Volume.Data,params:function(A){var e=A?ir.Select(0,A.data.header.dataSetIds.map((function(A,e){return[e,"".concat(A)]}))):ir.Numeric(0);return{dataIndex:e,entryId:ir.Text("")}}})({apply:function(A){var e=this,t=A.a,r=A.params;return Pe.create("Create volume from Cube",(function(A){return F(e,void 0,void 0,(function(){var e,n;return U(this,(function(i){switch(i.label){case 0:return[4,zy(t.data,w(w({},r),{label:t.data.name||t.label})).runInContext(A)];case 1:return e=i.sent(),n={label:e.label||"Volume",description:"Volume ".concat(t.data.header.dim[0],"×").concat(t.data.header.dim[1],"×").concat(t.data.header.dim[2])},[2,new qf.Volume.Data(e,n)]}}))}))}))},dispose:function(A){var e=A.b;null==e||e.data.customProperties.dispose()}}),gU=Zf.BuiltIn({name:"volume-from-dx",display:{name:"Parse DX",description:"Create volume from DX data."},from:qf.Format.Dx,to:qf.Volume.Data})({apply:function(A){var e=this,t=A.a;return Pe.create("Parse DX",(function(A){return F(e,void 0,void 0,(function(){var e,r;return U(this,(function(n){switch(n.label){case 0:return[4,oU(t.data,{label:t.data.name||t.label}).runInContext(A)];case 1:return e=n.sent(),r={label:e.label||"Volume",description:"Volume ".concat(t.data.header.dim[0],"×").concat(t.data.header.dim[1],"×").concat(t.data.header.dim[2])},[2,new qf.Volume.Data(e,r)]}}))}))}))},dispose:function(A){var e=A.b;null==e||e.data.customProperties.dispose()}}),cU=Zf.BuiltIn({name:"volume-from-density-server-cif",display:{name:"Volume from density-server CIF",description:"Identify and create all separate models in the specified CIF data block"},from:qf.Format.Cif,to:qf.Volume.Data,params:function(A){if(!A)return{blockHeader:ir.Optional(ir.Text(void 0,{description:"Header of the block to parse. If none is specifed, the 1st data block in the file is used."})),entryId:ir.Text("")};var e=A.data.blocks.slice(1);return{blockHeader:ir.Optional(ir.Select(e[0]&&e[0].header,e.map((function(A){return[A.header,A.header]})),{description:"Header of the block to parse"})),entryId:ir.Text("")}}})({isApplicable:function(A){return A.data.blocks.length>0},apply:function(A){var e=this,t=A.a,r=A.params;return Pe.create("Parse density-server CIF",(function(A){return F(e,void 0,void 0,(function(){var e,n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:if(e=r.blockHeader||t.data.blocks[1].header,n=t.data.blocks.find((function(A){return A.header===e})),!n)throw new Error("Data block '".concat([e],"' not found."));return[4,nU(i=Fg.schema.densityServer(n),{entryId:r.entryId}).runInContext(A)];case 1:return o=l.sent(),a=o.grid.cells.space.dimensions,s=a[0],u=a[1],g=a[2],c={label:null!==(B=r.entryId)&&void 0!==B?B:i.volume_data_3d_info.name.value(0),description:"Volume ".concat(s,"×").concat(u,"×").concat(g)},[2,new qf.Volume.Data(o,c)]}}))}))}))},dispose:function(A){var e=A.b;null==e||e.data.customProperties.dispose()}}),BU=Zf.BuiltIn({name:"assign-color-volume",display:{name:"Assign Color Volume",description:"Assigns another volume to be available for coloring."},from:qf.Volume.Data,to:qf.Volume.Data,isDecorator:!0,params:function(A,e){if(!A)return{ref:ir.Text()};var t=e.state.data.select(xd.Generators.root.subtree().ofType(qf.Volume.Data).filter((function(e){var t;return!!e.obj&&!(null===(t=e.obj)||void 0===t?void 0:t.data.colorVolume)&&e.obj!==A})));return 0===t.length?{ref:ir.Text("",{isHidden:!0})}:{ref:ir.Select(t[0].transform.ref,t.map((function(A){return[A.transform.ref,A.obj.label]})))}}})({apply:function(A){var e=this,t=A.a,r=A.params,n=A.dependencies;return Pe.create("Assign Color Volume",(function(A){return F(e,void 0,void 0,(function(){var A,e,i;return U(this,(function(o){if(!n||!n[r.ref])throw new Error("Dependency not 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dd.hasCarbohydrate(A)}))}},dU={hue:ir.Interval([1,360],{min:0,max:360,step:1}),chroma:ir.Interval([40,70],{min:0,max:100,step:1}),luminance:ir.Interval([15,85],{min:0,max:100,step:1}),clusteringStepCount:ir.Numeric(50,{min:10,max:200,step:1},{isHidden:!0}),minSampleCount:ir.Numeric(800,{min:100,max:5e3,step:100},{isHidden:!0})};function hU(A,e){return Math.sqrt(Math.pow(Math.abs(A[0]-e[0]),2)+Math.pow(Math.abs(A[1]-e[1]),2)+Math.pow(Math.abs(A[2]-e[2]),2))}var EU=[0,0,0],fU=[0,0,0];function CU(A,e){return FA.toHcl(EU,A),FA.fromColor(fU,FA.toColor(A)),EU[0]>=e.hue[0]&&EU[0]<=e.hue[1]&&EU[1]>=e.chroma[0]&&EU[1]<=e.chroma[1]&&EU[2]>=e.luminance[0]&&EU[2]<=e.luminance[1]&&fU[0]>=A[0]-2&&fU[0]<=A[0]+2&&fU[1]>=A[1]-2&&fU[1]<=A[1]+2&&fU[2]>=A[2]-2&&fU[2]<=A[2]+2}function pU(A,e){void 0===e&&(e={});var t=w(w({},ir.getDefaultValues(dU)),e);if(A<=0)return[];var r=function(A,e){for(var t=new Map,r=1.001*Math.cbrt(A),n=(e.hue[1]-e.hue[0])/r,i=(e.chroma[1]-e.chroma[0])/r,o=(e.luminance[1]-e.luminance[0])/r,a=e.hue[0];a<=e.hue[1];a+=n)for(var s=e.chroma[0];s<=e.chroma[1];s+=i)for(var u=e.luminance[0];u<=e.luminance[1];u+=o){var g=FA.fromHcl(FA(),UA.create(a,s,u));CU(g,e)&&t.set(g.toString(),g)}return Array.from(t.values())}(Math.max(t.minSampleCount,5*A),t);if(r.length<A)throw new Error("Not enough samples to generate distinct colors, increase sample count.");for(var n=[],i=[],o=Math.floor(r.length/A),a=0;a<r.length&&(n.push(r[a]),i.push([]),!(n.length>=A));a+=o);for(var s=1;s<=t.clusteringStepCount;++s){var u=fA(i);for(a=0;a<r.length;++a){for(var g=Number.MAX_SAFE_INTEGER,c=0,B=0;B<n.length;B++){var l=hU(r[a],n[B]);l<g&&(g=l,c=B)}u[c].push(r[a])}var Q=fA(n);for(a=0;a<u.length;++a){for(var I=u[a],d=I.length,h=[],E=[],f=[],C=0,p=I;C<p.length;C++){var m=p[C];h.push(m[0]),E.push(m[1]),f.push(m[2])}var y=Qr(h)/d,v=Qr(E)/d,D=Qr(f)/d;n[a]=[y,v,D]}if(J(Q,n))break}return function(A){for(var e=A.slice(0),t=[e.shift()];e.length>0;){for(var r=t[t.length-1],n=0,i=Number.MIN_SAFE_INTEGER,o=0;o<e.length;++o){var a=hU(r,e[o]);a>i&&(i=a,n=o)}t.push(e.splice(n,1)[0])}return t}(n).map((function(A){return FA.toColor(A)}))}var mU={type:"generate",colorList:"red-yellow-blue"};function yU(A){void 0===A&&(A={});var e=w(w({},mU),A);return{palette:ir.MappedStatic(e.type,{colors:ir.Group({list:ir.ColorList(e.colorList)},{isFlat:!0}),generate:ir.Group(w(w({},dU),{maxCount:ir.Numeric(75,{min:1,max:250,step:1})}),{isFlat:!0})},{options:[["colors","Color List"],["generate","Generate Distinct"]]})}}ir.getDefaultValues(yU());var vU={valueLabel:function(A){return"".concat(A+1)},minLabel:"Start",maxLabel:"End"};function DU(A,e,t){var r,n,i;if(void 0===t&&(t={}),"colors"===e.palette.name&&"interpolate"===e.palette.params.list.kind){var o=e.palette.params.list,a=[0,A-1],s=w(w({},vU),t),u=s.minLabel,g=s.maxLabel,c=o.colors;0===c.length&&(c=kA(mU.colorList).list);var B=Li.create({listOrName:c,domain:a,minLabel:u,maxLabel:g});i=B.legend,n=B.color}else{var l;"colors"===e.palette.name?(l=e.palette.params.list.colors.map((function(A){return Array.isArray(A)?A[0]:A})),0===l.length&&(l=kA("dark-2").list.map((function(A){return Array.isArray(A)?A[0]:A})))):(A=Math.min(A,e.palette.params.maxCount),l=pU(A,e.palette.params));for(var Q=null!==(r=t.valueLabel)&&void 0!==r?r:vU.valueLabel,I=l.length,d=[],h=0;h<A;++h){var E=h%I;void 0===d[E]?d[E]=[Q(h),l[E]]:d[E][0]+=", ".concat(Q(h))}i=Hr(d),n=function(A){return l[A%I]}}return{color:n,legend:i}}var bU=SA(16448250),wU=w({asymId:ir.Select("auth",ir.arrayToOptions(["auth","label"]))},yU({type:"colors",colorList:"many-distinct"}));function FU(A,e){var t=function(A,e){switch(A.kind){case 0:return"auth"===e?oQ.chain.auth_asym_id:oQ.chain.label_asym_id;case 1:case 2:return oQ.coarse.asym_id}}(A.unit,e)(A);return A.structure.root.models.length>1?UU(A.unit.model,t):t}function UU(A,e){return"".concat(e,"|").concat((dd.Index.get(A).value||0)+1)}function SU(A,e){var t,r;if(A.structure){var n=hc.create(A.structure.root),i=function(A,e){for(var t=new Map,r=function(r){var n=dd.AsymIdOffset.get(r).value,i=("auth"===e?null==n?void 0:n.auth:null==n?void 0:n.label)||0,o=0;r.properties.structAsymMap.forEach((function(n,a){var s=n.auth_id,u="auth"===e?s:a,g=A.models.length>1?UU(r,u):u;t.has(g)||(t.set(g,o+i),++o)}))},n=0,i=A.models;n<i.length;n++)r(i[n]);return t}(A.structure.root,e.asymId),o=Array.from(i.keys()),a=DU(i.size,e,{valueLabel:function(A){return o[A]}});r=a.legend,t=function(A){var t=void 0;if(hc.is(A)){var r=FU(A,e.asymId);t=i.get(r)}else oB.isLocation(A)&&(n.unit=A.aUnit,n.element=A.aUnit.elements[A.aIndex],r=FU(n,e.asymId),t=i.get(r));return void 0===t?bU:a.color(t)}}else t=function(){return bU};return{factory:SU,granularity:"group",color:t,props:e,description:"Gives every chain a color based on its `asym_id` value.",legend:r}}var NU={name:"chain-id",label:"Chain Id",category:"Chain Property",factory:SU,getParams:function(A){var e,t=ir.clone(wU);return(null===(e=A.structure)||void 0===e?void 0:e.models.some((function(A){return A.coarseHierarchy.isDefined})))&&(t.asymId.defaultValue="label"),t},defaultValues:ir.getDefaultValues(wU),isApplicable:function(A){return!!A.structure}},RU=SA(13421772),HU=w({},yU({type:"colors",colorList:"red-yellow-blue"})),GU={name:"element-index",label:"Element Index",category:"Atom Property",factory:function A(e,t){var r,n;if(e.structure){for(var i=e.structure.root.units,o=i.length,a=new Map,s=new Map,u=0,g=0;g<o;++g)a.set(g,u),u+=i[g].elements.length,s.set(i[g].id,g);var c=DU(u,t);n=c.legend,r=function(A){if(hc.is(A)){var e=s.get(A.unit.id),t=Tn.findPredecessorIndex(i[e].elements,A.element);return c.color(a.get(e)+t)}return oB.isLocation(A)?(e=s.get(A.aUnit.id),t=Tn.findPredecessorIndex(i[e].elements,A.aUnit.elements[A.aIndex]),c.color(a.get(e)+t)):RU}}else r=function(){return RU};return{factory:A,granularity:"groupInstance",preferSmoothing:!0,color:r,props:t,description:"Gives every element (atom or coarse sphere/gaussian) a unique color based on the position (index) of the element in the list of elements in the structure.",legend:n}},getParams:function(A){return HU},defaultValues:ir.getDefaultValues(HU),isApplicable:function(A){return!!A.structure}},MU=SA(13421772),LU=w({},yU({type:"colors",colorList:"many-distinct"}));function xU(A,e){var t,r;if(A.structure){var n=function(A){for(var e=new Map,t=0,r=A.units.length;t<r;++t){var n=A.units[t].conformation.operator.name;e.has(n)||e.set(n,e.size)}return e}(A.structure.root),i=Array.from(n.keys()),o=DU(n.size,e,{valueLabel:function(A){return i[A]}});r=o.legend,t=function(A){var e=void 0;if(hc.is(A)){var t=A.unit.conformation.operator.name;e=n.get(t)}else if(oB.isLocation(A)){var r=A.aUnit.conformation.operator.name;e=n.get(r)}return void 0===e?MU:o.color(e)}}else t=function(){return MU};return{factory:xU,granularity:"instance",color:t,props:e,description:"Assigns a color based on the operator name of a transformed chain.",legend:r}}var kU={name:"operator-name",label:"Operator Name",category:"Symmetry",factory:xU,getParams:function(A){return ir.clone(LU)},defaultValues:ir.getDefaultValues(LU),isApplicable:function(A){return!!A.structure}},YU={H:16777215,D:16777152,T:16777120,HE:14286847,LI:13402367,BE:12779264,B:16758197,C:9474192,N:3166456,O:16715021,F:9494608,NE:11789301,NA:11230450,MG:9109248,AL:12560038,SI:1578e4,P:16744448,S:16777008,CL:2093087,AR:8442339,K:9388244,CA:4062976,SC:15132390,TI:12567239,V:10921643,CR:9083335,MN:10255047,FE:14706227,CO:15765664,NI:5296208,CU:13140019,ZN:8224944,GA:12750735,GE:6721423,AS:12419299,SE:16752896,BR:10889513,KR:6076625,RB:7351984,SR:65280,Y:9764863,ZR:9756896,NB:7586505,MO:5551541,TC:3907230,RU:2396047,RH:687500,PD:27013,AG:12632256,CD:16767375,IN:10909043,SN:6717568,SB:10380213,TE:13924864,I:9699476,XE:9699476,CS:5707663,BA:51456,LA:7394559,CE:16777159,PR:14286791,ND:13107143,PM:10747847,SM:9437127,EU:6422471,GD:4587463,TB:3211207,DY:2097095,HO:65436,ER:58997,TM:54354,YB:48952,LU:43812,HF:5096191,TA:5089023,W:2200790,RE:2522539,OS:2516630,IR:1528967,PT:13684960,AU:16765219,HG:12105936,TL:10900557,PB:5724513,BI:10375093,PO:11230208,AT:7688005,RN:4358806,FR:4325478,RA:32e3,AC:7384058,TH:47871,PA:41471,U:36863,NP:33023,PU:27647,AM:5528818,CM:7888099,BK:9064419,CF:10565332,ES:11739092,FM:11739066,MD:11734438,NO:12389767,LR:13041766,RF:13369433,DB:13697103,SG:14221381,BH:14680120,HS:15073326,MT:15400998,DS:16777215,RG:16777215,CN:16777215,UUT:16777215,FL:16777215,UUP:16777215,LV:16777215,UUH:16777215},_U=SA(16777215),VU={carbonColor:ir.MappedStatic("chain-id",{"chain-id":ir.Group(w({},wU)),"operator-name":ir.Group(w({},LU)),"element-symbol":ir.Group({})},{description:"Use chain-id coloring for carbon atoms."}),saturation:ir.Numeric(0,{min:-6,max:6,step:.1}),lightness:ir.Numeric(.2,{min:-6,max:6,step:.1})},TU={name:"element-symbol",label:"Element Symbol",category:"Atom Property",factory:function A(e,t){var r=RA(YU,t.saturation,t.lightness),n="chain-id"===t.carbonColor.name?SU(e,t.carbonColor.params).color:"operator-name"===t.carbonColor.name?xU(e,t.carbonColor.params).color:void 0;function i(A,e){return n&&"C"===A?n(e,!1):function(A,e){var t=A[e];return void 0===t?_U:t}(r,A)}return{factory:A,granularity:"operator-name"===t.carbonColor.name?"groupInstance":"group",preferSmoothing:!0,color:function(A){if(hc.is(A)){if(TB.isAtomic(A.unit))return i(A.unit.model.atomicHierarchy.atoms.type_symbol.value(A.element),A)}else if(oB.isLocation(A)&&TB.isAtomic(A.aUnit))return i(A.aUnit.model.atomicHierarchy.atoms.type_symbol.value(A.aUnit.elements[A.aIndex]),A);return _U},props:t,description:"Assigns a color to every atom according to its chemical 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residue.",legend:Hr(Object.keys(PU).map((function(A){return[A,PU[A]]})).concat([["Other/unknown",JU]]))}},getParams:function(A){return OU},defaultValues:ir.getDefaultValues(OU),isApplicable:function(A){return!!A.structure}},zU="dark-2",qU=SA(16448250),ZU=w({},yU({type:"colors",colorList:zU}));function WU(A){switch(A.kind){case 0:return oQ.chain.label_asym_id;case 1:case 2:return oQ.coarse.asym_id}}function XU(A){for(var e=new Map,t=0,r=A.unitSymmetryGroups.length;t<r;++t){var n=A.unitSymmetryGroups[t].units[0],i=n.model;if(TB.isAtomic(n))for(var o=i.atomicHierarchy,a=o.chainAtomSegments,s=o.chains,u=vi.transientSegments(a,n.elements);u.hasNext;){var g=u.move().index,c=s.label_entity_id.value(g),B=i.entities.getEntityIndex(c);if("polymer"===i.entities.data.type.value(B)){var l=s.label_asym_id.value(g);e.has(l)||e.set(l,e.size)}}else if(TB.isCoarse(n)){var Q=TB.isSpheres(n)?i.coarseHierarchy.spheres:i.coarseHierarchy.gaussians,I=Q.chainElementSegments,d=Q.asym_id,h=Q.entity_id;for(u=vi.transientSegments(I,n.elements);u.hasNext;){g=u.move().index;var E=I.offsets[g];c=h.value(E),B=i.entities.getEntityIndex(c),"polymer"===i.entities.data.type.value(B)&&(l=d.value(E),e.has(l)||e.set(l,e.size))}}}return e}var $U={name:"polymer-id",label:"Polymer Chain Id",category:"Chain Property",factory:function A(e,t){var r,n;if(e.structure){var i=hc.create(e.structure),o=XU(e.structure.root),a=Array.from(o.keys()),s=DU(o.size,t,{valueLabel:function(A){return a[A]}});n=s.legend,r=function(A){var e=void 0;if(hc.is(A)){var t=WU(A.unit);e=o.get(t(A))}else oB.isLocation(A)&&(t=WU(A.aUnit),i.unit=A.aUnit,i.element=A.aUnit.elements[A.aIndex],e=o.get(t(i)));return void 0===e?qU:s.color(e)}}else r=function(){return qU};return{factory:A,granularity:"group",color:r,props:t,description:"Gives every polymer chain a color based on its `asym_id` value.",legend:n}},getParams:function(A){var e=ir.clone(ZU);return A.structure&&XU(A.structure.root).size>GA["dark-2"].list.length&&(e.palette.defaultValue.name="colors",e.palette.defaultValue.params=w(w({},e.palette.defaultValue.params),{list:{kind:"interpolate",colors:kA(zU).list}})),e},defaultValues:ir.getDefaultValues(ZU),isApplicable:function(A){return!!A.structure}},AS="dark-2",eS=SA(13421772),tS=w({},yU({type:"colors",colorList:AS}));function rS(A){for(var e=0,t=A.units,r=0,n=t.length;r<n;++r)t[r].polymerElements.length>0&&++e;return e}var nS={name:"polymer-index",label:"Polymer Chain Instance",category:"Chain Property",factory:function A(e,t){var r,n;if(e.structure){var i=DU(rS(e.structure.root),t);n=i.legend;for(var o=e.structure.root.units,a=new Map,s=0,u=0,g=o.length;s<g;++s)o[s].polymerElements.length>0&&(a.set(o[s].id,i.color(u)),++u);r=function(A){var e;return hc.is(A)?e=a.get(A.unit.id):oB.isLocation(A)&&(e=a.get(A.aUnit.id)),void 0!==e?e:eS}}else r=function(){return eS};return{factory:A,granularity:"instance",color:r,props:t,description:"Gives every polymer chain instance a unique color based on the position (index) of the polymer in the list of polymers in the structure.",legend:n}},getParams:function(A){var e=ir.clone(tS);return A.structure&&rS(A.structure.root)>GA["dark-2"].list.length&&(e.palette.defaultValue.name="colors",e.palette.defaultValue.params=w(w({},e.palette.defaultValue.params),{list:{kind:"interpolate",colors:kA(AS).list}})),e},defaultValues:ir.getDefaultValues(tS),isApplicable:function(A){return!!A.structure}},iS={ALA:9240460,ARG:124,ASN:16743536,ASP:10485826,CYS:16777072,GLN:16731212,GLU:6684672,GLY:15658734,HIS:7368959,ILE:19456,LEU:4546117,LYS:4671416,MET:12099650,PHE:5459026,PRO:5395026,SER:16740418,THR:12078080,TRP:5195264,TYR:9203788,VAL:16747775,A:14423100,G:3329330,I:10145074,C:16766720,T:4286945,U:4251856,DA:14423100,DG:3329330,DI:10145074,DC:16766720,DT:4286945,DU:4251856,APN:14423100,GPN:3329330,CPN:16766720,TPN:4286945},oS=SA(16711935),aS={saturation:ir.Numeric(0,{min:-6,max:6,step:.1}),lightness:ir.Numeric(1,{min:-6,max:6,step:.1})};function sS(A,e){return A.model.atomicHierarchy.atoms.label_comp_id.value(e)}function uS(A,e){var t=A.coarseElements.seq_id_begin.value(e);if(t===A.coarseElements.seq_id_end.value(e)){var r=A.coarseElements.entityKey[e];return A.model.sequence.byEntityKey[r].sequence.compId.value(t-1)}}function gS(A,e){var t=A[e];return void 0===t?oS:t}var cS={name:"residue-name",label:"Residue Name",category:"Residue Property",factory:function A(e,t){var r=RA(iS,t.saturation,t.lightness);return{factory:A,granularity:"group",preferSmoothing:!0,color:function(A){if(hc.is(A)){if(TB.isAtomic(A.unit)){var e=sS(A.unit,A.element);return gS(r,e)}if(e=uS(A.unit,A.element))return gS(r,e)}else if(oB.isLocation(A)){if(TB.isAtomic(A.aUnit))return e=sS(A.aUnit,A.aUnit.elements[A.aIndex]),gS(r,e);if(e=uS(A.aUnit,A.aUnit.elements[A.aIndex]))return gS(r,e)}return oS},props:t,description:"Assigns a color to every residue according to its name.",legend:Hr(Object.keys(iS).map((function(A){return[A,iS[A]]})).concat([["Unknown",oS]]))}},getParams:function(A){return aS},defaultValues:ir.getDefaultValues(aS),isApplicable:function(A){return!!A.structure}},BS={alphaHelix:16711808,threeTenHelix:10485888,piHelix:6291584,betaTurn:6324479,betaStrand:16762880,coil:16777215,bend:6740169,turn:45670,dna:11403518,rna:16580962,carbohydrate:10921722},lS=SA(8421504),QS={saturation:ir.Numeric(-1,{min:-6,max:6,step:.1}),lightness:ir.Numeric(0,{min:-6,max:6,step:.1})};function IS(A,e,t,r){var n=Ca.create(0);if(r&&TB.isAtomic(e)){var i=r.get(e.invariantId);i&&(n=i.type[i.getIndex(e.residueIndex[t])])}if(Ca.is(n,2))return Ca.is(n,2048)?A.threeTenHelix:Ca.is(n,32768)?A.piHelix:A.alphaHelix;if(Ca.is(n,4))return A.betaStrand;if(Ca.is(n,8))return A.bend;if(Ca.is(n,16))return A.turn;var o=as(e,t);return 7===o?A.dna:6===o?A.rna:9===o?A.carbohydrate:5===o?A.coil:lS}var dS={name:"secondary-structure",label:"Secondary Structure",category:"Residue Property",factory:function A(e,t){var r=e.structure&&Jl.get(e.structure),n=r?re(r.id,r.version):-1,i=RA(BS,t.saturation,t.lightness);return{factory:A,granularity:"group",preferSmoothing:!0,color:function(A){return hc.is(A)?IS(i,A.unit,A.element,null==r?void 0:r.value):oB.isLocation(A)?IS(i,A.aUnit,A.aUnit.elements[A.aIndex],null==r?void 0:r.value):lS},props:t,contextHash:n,description:"Assigns a color based on the type of secondary structure and basic molecule type.",legend:Hr(Object.keys(BS).map((function(A){return[A,BS[A]]})).concat([["Other",lS]]))}},getParams:function(A){return QS},defaultValues:ir.getDefaultValues(QS),isApplicable:function(A){return!!A.structure},ensureCustomProperties:{attach:function(A,e){return e.structure?Jl.attach(A,e.structure,void 0,!0):Promise.resolve()},detach:function(A){return A.structure&&Jl.ref(A.structure,!1)}}},hS=SA(13421772),ES={list:ir.ColorList("turbo",{presetKind:"scale"})};function fS(A,e){var t=A.model;switch(A.kind){case 0:var r=t.atomicHierarchy.residueAtomSegments.index[e];return t.atomicHierarchy.residues.label_seq_id.value(r);case 1:return Math.round((t.coarseHierarchy.spheres.seq_id_begin.value(e)+t.coarseHierarchy.spheres.seq_id_end.value(e))/2);case 2:return Math.round((t.coarseHierarchy.gaussians.seq_id_begin.value(e)+t.coarseHierarchy.gaussians.seq_id_end.value(e))/2)}}function CS(A,e){var t=A.model,r="";switch(A.kind){case 0:var n=t.atomicHierarchy.chainAtomSegments.index[e];r=t.atomicHierarchy.chains.label_entity_id.value(n);break;case 1:r=t.coarseHierarchy.spheres.entity_id.value(e);break;case 2:r=t.coarseHierarchy.gaussians.entity_id.value(e)}if(""===r)return 0;var i=t.entities.getEntityIndex(r);if(-1===i)return 0;var o=t.sequence.byEntityKey[i];return void 0===o?0:o.sequence.length}var pS={name:"sequence-id",label:"Sequence Id",category:"Residue Property",factory:function A(e,t){var r=Li.create({listOrName:t.list.colors,minLabel:"Start",maxLabel:"End"});return{factory:A,granularity:"group",preferSmoothing:!0,color:function(A){if(hc.is(A)){var e=A.unit,t=A.element;if((n=fS(e,t))>0&&(i=CS(e,t)))return r.setDomain(0,i-1),r.color(n)}else if(oB.isLocation(A)){var n,i,o=A.aUnit,a=A.aIndex;if((n=fS(o,o.elements[a]))>0&&(i=CS(o,o.elements[a])))return r.setDomain(0,i-1),r.color(n)}return hS},props:t,description:"Gives every polymer residue a color based on its `seq_id` value.",legend:r?r.legend:void 0}},getParams:function(A){return ES},defaultValues:ir.getDefaultValues(ES),isApplicable:function(A){return!!A.structure}},mS="dark-2",yS=SA(13421772),vS=w({},yU({type:"colors",colorList:mS})),DS={name:"unit-index",label:"Chain Instance",category:"Chain Property",factory:function A(e,t){var r,n;if(e.structure){var i=e.structure.root.units,o=DU(i.length,t);n=o.legend;for(var a=new Map,s=0,u=i.length;s<u;++s)a.set(i[s].id,o.color(s));r=function(A){return hc.is(A)?a.get(A.unit.id):oB.isLocation(A)?a.get(A.aUnit.id):yS}}else r=function(){return yS};return{factory:A,granularity:"instance",color:r,props:t,description:"Gives every chain instance (single chain or collection of single elements) a unique color based on the position (index) of the chain in the list of chains in the structure.",legend:n}},getParams:function(A){var e=ir.clone(vS);return A.structure&&A.structure.root.units.length>GA["dark-2"].list.length&&(e.palette.defaultValue.name="colors",e.palette.defaultValue.params=w(w({},e.palette.defaultValue.params),{list:{kind:"interpolate",colors:kA(mS).list}})),e},defaultValues:ir.getDefaultValues(vS),isApplicable:function(A){return!!A.structure}},bS=SA(16777113),wS={domain:ir.Interval([0,100]),list:ir.ColorList("alphafold",{presetKind:"scale"})};function FS(A,e){return TB.isAtomic(A)?A.model.atomicConformation.B_iso_or_equiv.value(e):TB.isSpheres(A)?A.model.coarseConformation.spheres.rmsf[e]:0}var US={name:"uncertainty",label:"Uncertainty/Disorder",category:"Atom Property",factory:function A(e,t){var r=Li.create({reverse:!0,domain:t.domain,listOrName:t.list.colors});return{factory:A,granularity:"group",preferSmoothing:!0,color:function(A){return hc.is(A)?r.color(FS(A.unit,A.element)):oB.isLocation(A)?r.color(FS(A.aUnit,A.aUnit.elements[A.aIndex])):bS},props:t,description:"Assigns a color based on the uncertainty or disorder of an element's position, e.g. B-factor or RMSF, depending on the data availability and experimental technique.",legend:r?r.legend:void 0}},getParams:function(A){return wS},defaultValues:ir.getDefaultValues(wS),isApplicable:function(A){return!!A.structure&&A.structure.models.some((function(A){return A.atomicConformation.B_iso_or_equiv.isDefined||A.coarseHierarchy.isDefined}))}},SS="dark-2",NS=SA(16448250),RS=w({},yU({type:"colors",colorList:SS}));function HS(A,e){return"".concat(A,"|").concat(e)}function GS(A,e,t,r,n,i){return"".concat(A,"|").concat(e,"|").concat(t,"|").concat(i||n||r)}function MS(A,e,t,r,n,i,o,a){for(var s=n.entity_id,u=n.pdbx_src_id,g=n.pdbx_beg_seq_num,c=n.pdbx_end_seq_num,B=0,l=n._rowCount;B<l;++B){var Q=s.value(B),I=HS(t,Q),d=void 0;if(A.has(I))d=A.get(I);else{var h=r.entities.getEntityIndex(Q),E=r.sequence.sequences[h].sequence;d=new Int16Array(E.length),A.set(I,d)}var f=o?o.value(B):"",C=a?a.value(B)[0]:"",p=GS(t,Q,i.value(B),u.value(B),f,C),m=0===g.valueKind(B)?g.value(B):1,y=0===c.valueKind(B)?c.value(B):d.length,v=void 0;e.has(p)?v=e.get(p):(v=e.size+1,e.set(p,v));for(var D=m,b=y;D<=b;++D)d[D-1]=v}}function LS(A){for(var e=new Map,t=new Map,r=0,n=A.length;r<n;++r){var i=A[r];if(dc.is(i.sourceData)){var o=i.sourceData.data.db,a=o.entity_src_gen,s=o.entity_src_nat,u=o.pdbx_entity_src_syn;MS(e,t,r,i,a,a.pdbx_gene_src_scientific_name,a.plasmid_name,a.pdbx_gene_src_gene),MS(e,t,r,i,s,s.pdbx_organism_scientific,s.pdbx_plasmid_name),MS(e,t,r,i,u,u.organism_scientific)}}return{seqToSrcByModelEntity:e,srcKeySerialMap:t}}var xS={name:"entity-source",label:"Entity Source",category:"Chain Property",factory:function A(e,t){var r,n;if(e.structure){var i=hc.create(e.structure),o=e.structure.root.models,a=LS(o),s=a.seqToSrcByModelEntity,u=a.srcKeySerialMap,g=function(A){var e=0;return Array.from(A.keys()).map((function(A){var t=A.split("|"),r=t[2],n=vu(t[3])?"Unnamed ".concat(++e):t[3];return"".concat(n).concat(r?" 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A.structure&&LS(A.structure.root.models).srcKeySerialMap.size>GA["dark-2"].list.length&&(e.palette.defaultValue.name="colors",e.palette.defaultValue.params=w(w({},e.palette.defaultValue.params),{list:{kind:"interpolate",colors:kA(SS).list}})),e},defaultValues:ir.getDefaultValues(RS),isApplicable:function(A){return!!A.structure}},kS=SA(15658734),YS=w(w({},wU),{carbonLightness:ir.Numeric(.8,{min:-6,max:6,step:.1})}),_S={name:"illustrative",label:"Illustrative",category:"Miscellaneous",factory:function A(e,t){var r=SU(e,t),n=r.color,i=r.legend;function o(A,e){var r=n(A,!1);return"C"===e?SA.lighten(r,t.carbonLightness):r}return{factory:A,granularity:"group",preferSmoothing:!0,color:function(A){if(hc.is(A)&&TB.isAtomic(A.unit)){var e=A.unit.model.atomicHierarchy.atoms.type_symbol.value(A.element);return o(A,e)}if(oB.isLocation(A)&&TB.isAtomic(A.aUnit)){var t=A.aUnit.elements[A.aIndex];return e=A.aUnit.model.atomicHierarchy.atoms.type_symbol.value(t),o(A,e)}return 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w=0;w<e;++w){gA.fromArray(m,t,w*s),B&&gA.transformMat4Offset(m,m,r,0,0,16*b),gA.sub(m,m,f),gA.scale(m,m,C),gA.floor(y,m),gA.ceil(v,m),gA.sub(D,m,y),gA.sub(m,v,y),gA.div(D,D,m);for(var F=y[0],U=y[1],S=y[2],N=v[0],R=v[1],H=v[2],G=D[0],M=D[1],L=D[2],x=p(F,U,S)+g,k=p(N,U,S)+g,Y=p(F,U,H)+g,_=p(N,U,H)+g,V=p(F,R,S)+g,T=p(N,R,S)+g,P=p(F,R,H)+g,J=p(N,R,H)+g,O=(b*e+w)*c,K=0;K<c;++K){var j=n[x+K],z=n[k+K],q=n[Y+K],Z=n[_+K],W=n[V+K],X=n[T+K],$=n[P+K],AA=n[J+K],eA=oA(j,z,G),tA=oA(q,Z,G),rA=oA(W,X,G),nA=oA($,AA,G),iA=oA(eA,rA,M),aA=oA(tA,nA,M);I[O+K]=oA(iA,aA,L)}}return Q}function uR(A,e,t,r,n){if(function(A){return"group"===A||"groupInstance"===A}(A.dColorType.ref.value)){var i=aR({vertexCount:A.uVertexCount.ref.value,instanceCount:A.uInstanceCount.ref.value,groupCount:A.uGroupCount.ref.value,transformBuffer:A.aTransform.ref.value,instanceBuffer:A.aInstance.ref.value,positionBuffer:A.aPosition.ref.value,groupBuffer:A.aGroup.ref.value,colorData:A.tColor.ref.value,colorType:A.dColorType.ref.value,boundingSphere:A.boundingSphere.ref.value,invariantBoundingSphere:A.invariantBoundingSphere.ref.value,itemSize:3},e,t,r,n);"volume"===i.kind?(Y.updateIfChanged(A.dColorType,i.type),Y.update(A.tColorGrid,i.texture),Y.update(A.uColorTexDim,i.gridTexDim),Y.update(A.uColorGridDim,i.gridDim),Y.update(A.uColorGridTransform,i.gridTransform)):"vertex"===i.kind&&(Y.updateIfChanged(A.dColorType,i.type),Y.update(A.tColor,i.texture),Y.update(A.uColorTexDim,i.texDim))}}var gR={drawCount:nv("number"),instanceCount:nv("number"),stride:nv("number"),uTotalCount:Av("i"),uInstanceCount:Av("i"),uGroupCount:Av("i"),aTransform:$y("float32",16,1),aInstance:$y("float32",1,1),aSample:$y("float32",1,0),uGeoTexDim:Av("v2","buffered"),tPosition:ev("texture","rgba","float","nearest"),tGroup:ev("texture","rgba","float","nearest"),uColorTexDim:Av("v2"),tColor:ev("texture","rgba","ubyte","nearest"),dColorType:rv("string",["group","groupInstance","vertex","vertexInstance"]),uCurrentSlice:Av("f"),uCurrentX:Av("f"),uCurrentY:Av("f"),uBboxMin:Av("v3","material"),uBboxSize:Av("v3","material"),uResolution:Av("f","material")};function cR(A,e){for(var t=new Float32Array(A),r=0;r<A;++r)t[r]=r*e;return t}var BR=w(w({},Fv),{tColor:ev("texture","rgba","float","nearest"),tCount:ev("texture","alpha","float","nearest"),uTexSize:Av("v2")});function lR(A,e,t,r,n){var i=r.extensions.drawBuffers;if(!i)throw new Error("need WebGL draw buffers");var o=r.gl,a=r.resources,s=r.state,u=r.extensions,g=u.colorBufferHalfFloat,c=u.textureHalfFloat,B=A.colorType.endsWith("Instance"),l=Ns.fromSphere3D(Ns(),B?A.boundingSphere:A.invariantBoundingSphere),Q=1/e,I=Ns.scale(Ns(),l,Q),d=Ns.size(gA(),I);gA.ceil(d,d),gA.add(d,d,gA.create(2,2,2));var h=l.min,E=d[0],f=d[1],C=d[2],p=function(A){var e=A[0]*A[1]*A[2],t=Math.sqrt(e),r=Math.pow(2,Math.ceil(Math.log(t)/Math.log(2))),n=0,i=A[1],o=1,a=A[2];return r<A[0]*A[2]?(a=Math.floor(r/A[0]),o=Math.ceil(A[2]/a),n=a*A[0],i*=o):n=A[0]*A[2],{texDimX:n,texDimY:i,texRows:o,texCols:a,powerOfTwoSize:i<r?r:2*r}}(d),m=p.texDimX,y=p.texDimY,v=p.texCols;r.namedFramebuffers["color-accumulate"]||(r.namedFramebuffers["color-accumulate"]=r.resources.framebuffer());var D=r.namedFramebuffers["color-accumulate"];Gm(o)?(r.namedTextures["color-accumulate"]||(r.namedTextures["color-accumulate"]=g&&c?a.texture("image-float16","rgba","fp16","nearest"):a.texture("image-float32","rgba","float","nearest")),r.namedTextures["color-count"]||(r.namedTextures["color-count"]=a.texture("image-float32","alpha","float","nearest"))):(r.namedTextures["color-accumulate"]||(r.namedTextures["color-accumulate"]=a.texture("image-float32","rgba","float","nearest")),r.namedTextures["color-count"]||(r.namedTextures["color-count"]=a.texture("image-float32","rgba","float","nearest")));var b=r.namedTextures["color-accumulate"],F=r.namedTextures["color-count"];b.define(m,y),F.define(m,y),b.attachFramebuffer(D,0),F.attachFramebuffer(D,1);var U=function(A,e,t,r,n){if(A.namedComputeRenderables["color-accumulate"]){var i=gA.sub(gA(),t.max,t.min),o=A.namedComputeRenderables["color-accumulate"].values,a=Math.round(e.vertexCount/n);(a>o.drawCount.ref.value||n!==o.stride.ref.value)&&Y.update(o.aSample,cR(a,n)),Y.updateIfChanged(o.drawCount,a),Y.updateIfChanged(o.instanceCount,e.instanceCount),Y.updateIfChanged(o.stride,n),Y.updateIfChanged(o.uTotalCount,e.vertexCount),Y.updateIfChanged(o.uInstanceCount,e.instanceCount),Y.updateIfChanged(o.uGroupCount,e.groupCount),Y.update(o.aTransform,e.transformBuffer),Y.update(o.aInstance,e.instanceBuffer),Y.update(o.uGeoTexDim,BA.set(o.uGeoTexDim.ref.value,e.positionTexture.getWidth(),e.positionTexture.getHeight())),Y.update(o.tPosition,e.positionTexture),Y.update(o.tGroup,e.groupTexture),Y.update(o.uColorTexDim,BA.set(o.uColorTexDim.ref.value,e.colorData.getWidth(),e.colorData.getHeight())),Y.update(o.tColor,e.colorData),Y.updateIfChanged(o.dColorType,e.colorType),Y.updateIfChanged(o.uCurrentSlice,0),Y.updateIfChanged(o.uCurrentX,0),Y.updateIfChanged(o.uCurrentY,0),Y.update(o.uBboxMin,t.min),Y.update(o.uBboxSize,i),Y.updateIfChanged(o.uResolution,r),A.namedComputeRenderables["color-accumulate"].update()}else A.namedComputeRenderables["color-accumulate"]=function(A,e,t,r,n){var i=gA.sub(gA(),t.max,t.min),o=Math.round(e.vertexCount/n),a={drawCount:Y.create(o),instanceCount:Y.create(e.instanceCount),stride:Y.create(n),uTotalCount:Y.create(e.vertexCount),uInstanceCount:Y.create(e.instanceCount),uGroupCount:Y.create(e.groupCount),aTransform:Y.create(e.transformBuffer),aInstance:Y.create(e.instanceBuffer),aSample:Y.create(cR(o,n)),uGeoTexDim:Y.create(BA.create(e.positionTexture.getWidth(),e.positionTexture.getHeight())),tPosition:Y.create(e.positionTexture),tGroup:Y.create(e.groupTexture),uColorTexDim:Y.create(BA.create(e.colorData.getWidth(),e.colorData.getHeight())),tColor:Y.create(e.colorData),dColorType:Y.create(e.colorType),uCurrentSlice:Y.create(0),uCurrentX:Y.create(0),uCurrentY:Y.create(0),uBboxMin:Y.create(t.min),uBboxSize:Y.create(i),uResolution:Y.create(r)},s=w({},gR);return bv(mv(A,"points",_p("accumulate","\nprecision highp float;\n\n#include common\n#include read_from_texture\n\nuniform int uTotalCount;\nuniform int uGroupCount;\n\nattribute float aSample;\n#define SampleID int(aSample)\n\nattribute mat4 aTransform;\nattribute float aInstance;\n\nuniform vec2 uGeoTexDim;\nuniform sampler2D tPosition;\nuniform sampler2D tGroup;\n\nuniform vec2 uColorTexDim;\nuniform sampler2D tColor;\n\nvarying vec3 vPosition;\nvarying vec4 vColor;\n\nuniform vec3 uBboxSize;\nuniform vec3 uBboxMin;\nuniform float uResolution;\n\nvoid main() {\n    vec3 position = readFromTexture(tPosition, SampleID, uGeoTexDim).xyz;\n    float group = decodeFloatRGB(readFromTexture(tGroup, SampleID, uGeoTexDim).rgb);\n\n    position = (aTransform * vec4(position, 1.0)).xyz;\n    gl_PointSize = 7.0;\n    vPosition = (position - uBboxMin) / uResolution;\n    gl_Position = vec4(((position - uBboxMin) / uBboxSize) * 2.0 - 1.0, 1.0);\n\n    #if defined(dColorType_group)\n        vColor = readFromTexture(tColor, group, uColorTexDim);\n    #elif defined(dColorType_groupInstance)\n 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e=A.gl,t=A.state;t.disable(e.CULL_FACE),t.enable(e.BLEND),t.disable(e.DEPTH_TEST),t.enable(e.SCISSOR_TEST),t.depthMask(!1),t.clearColor(0,0,0,0),t.blendFunc(e.ONE,e.ONE),t.blendEquation(e.FUNC_ADD)}(r),o.viewport(0,0,m,y),o.scissor(0,0,m,y),o.clear(o.COLOR_BUFFER_BIT),Y.update(H,0);for(var G=0,M=0,L=0,x=0;x<C;++x)G>=v&&(G-=v,M+=f,L=0,Y.update(H,M)),Y.update(R,L),Y.update(N,x),o.viewport(L,M,E,f),o.scissor(L,M,E,f),U.render(),++G,L+=E;b.detachFramebuffer(D,0),F.detachFramebuffer(D,1),i.drawBuffers([o.COLOR_ATTACHMENT0,o.NONE]),n||(n=a.texture("image-uint8","rgba","ubyte","linear")),n.define(m,y);var k=function(A,e,t){if(A.namedComputeRenderables["color-normalize"]){var r=A.namedComputeRenderables["color-normalize"].values;Y.update(r.tColor,e),Y.update(r.tCount,t),Y.update(r.uTexSize,BA.set(r.uTexSize.ref.value,e.getWidth(),e.getHeight())),A.namedComputeRenderables["color-normalize"].update()}else A.namedComputeRenderables["color-normalize"]=function(A,e,t){var r=w(w({},Uv),{tColor:Y.create(e),tCount:Y.create(t),uTexSize:Y.create(BA.create(e.getWidth(),e.getHeight()))}),n=w({},BR);return bv(mv(A,"triangles",_p("normalize",dv,"\nprecision highp float;\nprecision highp sampler2D;\n\nuniform sampler2D tColor;\nuniform sampler2D tCount;\nuniform vec2 uTexSize;\n\nvoid main(void) {\n    vec2 coords = gl_FragCoord.xy / uTexSize;\n    vec4 color = texture2D(tColor, coords);\n    float count = texture2D(tCount, coords).r;\n\n    gl_FragColor = color / count;\n}\n"),n,r),r)}(A,e,t);return A.namedComputeRenderables["color-normalize"]}(r,b,F);s.currentRenderItemId=-1,function(A){var e=A.gl,t=A.state;t.disable(e.CULL_FACE),t.enable(e.BLEND),t.disable(e.DEPTH_TEST),t.enable(e.SCISSOR_TEST),t.depthMask(!1),t.clearColor(0,0,0,0),t.blendFunc(e.ONE,e.ONE),t.blendEquation(e.FUNC_ADD)}(r),n.attachFramebuffer(D,0),o.viewport(0,0,m,y),o.scissor(0,0,m,y),o.clear(o.COLOR_BUFFER_BIT),k.render();var _=lA.create(h[0],h[1],h[2],Q),V=B?"volumeInstance":"volume";return{texture:n,gridDim:d,gridTexDim:BA.create(m,y),gridTransform:_,type:V}}var QR,IR,dR="color-smoothing-rgb",hR="color-smoothing-rgba",ER="color-smoothing-alpha";function fR(A,e,t,r,n){if(function(A){return"group"===A||"groupInstance"===A}(A.dColorType.ref.value)){t*=3,r.namedTextures[dR]||(r.namedTextures[dR]=r.resources.texture("image-uint8","rgb","ubyte","nearest"));var i=r.namedTextures[dR];i.load(A.tColor.ref.value);var o=lR({vertexCount:A.uVertexCount.ref.value,instanceCount:A.uInstanceCount.ref.value,groupCount:A.uGroupCount.ref.value,transformBuffer:A.aTransform.ref.value,instanceBuffer:A.aInstance.ref.value,positionTexture:A.tPosition.ref.value,groupTexture:A.tGroup.ref.value,colorData:i,colorType:A.dColorType.ref.value,boundingSphere:A.boundingSphere.ref.value,invariantBoundingSphere:A.invariantBoundingSphere.ref.value},e,t,r,n);Y.updateIfChanged(A.dColorType,o.type),Y.update(A.tColorGrid,o.texture),Y.update(A.uColorTexDim,o.gridTexDim),Y.update(A.uColorGridDim,o.gridDim),Y.update(A.uColorGridTransform,o.gridTransform)}}function CR(A){return{layers:A}}function pR(A){return{layers:A}}!function(A){A.setVisibility=function(A,e){A&&(A.state.visible=e)},A.setAlphaFactor=function(A,e){A&&(A.state.alphaFactor=e)},A.setPickable=function(A,e){A&&(A.state.pickable=e)},A.setColorOnly=function(A,e){A&&(A.state.colorOnly=e)},A.mark=function(A,e,t,r,n){if(!A||JN(e))return!1;var i=A.values,o=i.tMarker,a=i.dMarkerType,s=i.uMarker,u=i.markerAverage,g=i.markerStatus,c=i.uGroupCount,B=i.instanceCount,l=c.ref.value*B.ref.value,Q=o.ref.value.array,I=g.ref.value;if(!_N(e)){var d=0;if(r(e,(function(A){return d+=qr.size(A),!0}),!0),0===d)return!1;d===l&&(e=YN)}var h=!1,E=-1,f=-1;if(_N(e)){var C=function(A,e){var t=-1,r=-1;switch(A){case NN.Highlight:0===e||1===e?(t=1,r=1):2===e||3===e?(t=1,r=3):t=1;break;case NN.RemoveHighlight:0===e||1===e?(t=0,r=0):2!==e&&3!==e||(t=1,r=2);break;case NN.Select:1===e||3===e?(t=1,r=3):0===e||2===e?(t=1,r=2):t=1;break;case NN.Deselect:1===e||3===e?(t=1,r=1):0!==e&&2!==e||(t=0,r=0);break;case NN.Toggle:1===e?(t=1,r=3):2===e?(t=0,r=0):3===e?(t=1,r=1):0===e&&(t=1,r=2);break;case NN.Clear:t=0,r=0}return{average:t,status:r}}(t,I);-1!==C.status?(h=I!==C.status)&&function(A,e,t){A.fill(e,0,t)}(Q,C.status,l):h=kN(Q,qr.ofLength(l),t),E=C.average,f=C.status}else(h=r(e,(function(A){return kN(Q,A,t)}),!0))&&(E=function(A,e){switch(A){case NN.Highlight:return.5;case NN.RemoveHighlight:return 0===e?0:2===e||3===e?.5:-1;case NN.Select:return.5;case NN.Deselect:return 1===e||3===e?.5:0===e?0:-1;case NN.Toggle:return-1===e?-1:.5;case NN.Clear:return-1===e?-1:0===e?0:.5;case NN.None:return-1;default:MN()}}(t,I),n&&-1!==n.status&&-1===E&&RN.isReverse(n.action,t)&&VN.areEqual(e,n.loci)&&(E=0===(f=n.status)?0:.5));return h&&(-1===E&&0===(E=Ap(Q,l))&&(f=0),n&&(n.action=t,n.loci=e,n.status=I),Y.updateIfChanged(s,f),-1===f&&Y.update(o,o.ref.value),Y.updateIfChanged(a,-1===f?"groupInstance":"uniform"),Y.updateIfChanged(u,E),Y.updateIfChanged(g,f)),h},A.setOverpaint=function(A,e,t,r,n){if(A){var i=A.values,o=i.tOverpaint,a=i.dOverpaintType,s=i.uGroupCount,u=i.instanceCount,g=s.ref.value*u.ref.value;!function(A,e){var t=OC(Math.max(1,A),4,Uint8Array,e&&e.tOverpaint.ref.value.array);e?(Y.update(e.tOverpaint,t),Y.update(e.uOverpaintTexDim,BA.create(t.width,t.height)),Y.updateIfChanged(e.dOverpaint,A>0)):(Y.create(t),Y.create(BA.create(t.width,t.height)),Y.create(A>0),Y.create(Jm()),Y.create(gA.create(1,1,1)),Y.create(lA.create(0,0,0,1)),Y.create("groupInstance"))}(e.layers.length?g:0,A.values);var c=o.ref.value.array;r&&Om(c,0,g);for(var B=function(A,r){var n=e.layers[A],i=n.loci,o=n.color,a=n.clear;t(i,(function(A){var e=qr.start(A),t=qr.end(A);return a?Om(c,e,t):function(A,e,t,r){for(var n=e;n<t;++n)SA.toArray(r,A,4*n),A[4*n+3]=255;return!0}(c,e,t,o)}),!1)},l=0,Q=e.layers.length;l<Q;++l)B(l);if(Y.update(o,o.ref.value),Y.updateIfChanged(a,"groupInstance"),0!==e.layers.length&&n&&Xi(n.props)){var I=n.geometry,d=n.props,h=n.webgl;if("mesh"===I.kind){var E=I.meta,f=E.resolution,C=E.overpaintTexture;(p=$i(d.smoothColors,!0,f))&&(function(A,e,t,r,n){if(function(A){return"groupInstance"===A}(A.dOverpaintType.ref.value)){var 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Sh,u=vR.createState(),g=Eb(),c=[],B=-1,l=wN.createEmpty(),Q=ir.getDefaultValues(e.Params);t.modifyState&&vR.updateState(u,t.modifyState(u));var I=TN.create();function d(A,e){return _N(A)||ib.isLoci(A)&&A.shape===n?e(qr.ofBounds(0,n.groupCount*n.transforms.length)):function(A,e,t){if(!ob.isLoci(A))return!1;if(A.shape!==e)return!1;for(var r=!1,n=e.groupCount,i=0,o=A.groups;i<o.length;i++){var a=o[i],s=a.ids,u=a.instance;if(qr.is(s)){var g=u*n+qr.start(s),c=u*n+qr.end(s);t(qr.ofBounds(g,c))&&(r=!0)}else for(var B=0,l=s.length;B<l;B++){var Q=u*n+s[B];t(qr.ofSingleton(Q))&&(r=!0)}}return r}(A,n,e)}return{label:"Shape geometry",get groupCount(){return i?i.count:0},get props(){return Q},get params(){},get state(){return u},get theme(){return l},renderObjects:c,get geometryVersion(){return B},updated:s,createOrUpdate:function(d,h){var E=this;return void 0===d&&(d={}),t.modifyProps&&(d=t.modifyProps(d)),Pe.create("ShapeRepresentation.create",(function(f){return F(E,void 0,void 0,(function(){var 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available");I.updateTransform&&(ib.createTransform(n.transforms,r.values),i=ib.groupIterator(n),D=i.instanceCount,b=i.groupCount,ep(D*b,r.values)),I.createGeometry&&(Y.updateIfChanged(r.values.drawCount,kv.getDrawCount(n.geometry)),Y.updateIfChanged(r.values.uVertexCount,kv.getVertexCount(n.geometry))),(I.updateTransform||I.createGeometry)&&(e.updateBoundingSphere(r.values,n.geometry),o=e.createPositionIterator(n.geometry,r.values)),I.updateColor&&Jv(i,o,l.color,r.values),I.updateSize&&"uSize"in r.values&&Cp(i,l.size,r.values),e.updateValues(r.values,E),e.updateRenderableState(r.state,E)}return Q=E,(I.createGeometry||I.createNew)&&(B+=1),s.next(a++),[2]}}))}))}))},getLoci:function(A){if(void 0===A)return ib.Loci(n);var e=A.objectId,t=A.groupId,i=A.instanceId;return r&&r.id===e?ob.Loci(n,[{ids:Tn.ofSingleton(t),instance:i}]):PN},mark:function(A,e){if(!RN.is(u.markerActions,e))return!1;if(ob.isLoci(A)||ib.isLoci(A)){if(A.shape!==n)return!1}else if(!_N(A))return!1;return QR.mark(r,A,e,d)},setState:function(A){t.modifyState&&(A=t.modifyState(A)),r&&(void 0!==A.visible&&QR.setVisibility(r,A.visible),void 0!==A.alphaFactor&&QR.setAlphaFactor(r,A.alphaFactor),void 0!==A.pickable&&QR.setPickable(r,A.pickable),void 0!==A.colorOnly&&QR.setColorOnly(r,A.colorOnly),void 0!==A.overpaint&&QR.setOverpaint(r,A.overpaint,d,!0),void 0!==A.transparency&&QR.setTransparency(r,A.transparency,d,!0),void 0!==A.substance&&QR.setSubstance(r,A.substance,d,!0),void 0!==A.transform&&QR.setTransform(r,A.transform)),vR.updateState(u,A)},setTheme:function(A){Fe&&console.warn("The `ShapeRepresentation` theme is fixed to `ShapeGroupColorTheme` and `ShapeGroupSizeTheme`. Colors are taken from `Shape.getColor` and sizes from `Shape.getSize`")},destroy:function(){c.length=0,r&&(r.state.disposed=!0,r=void 0)}}}!function(A){function e(){return{visible:!0,alphaFactor:1,pickable:!0,colorOnly:!1,syncManually:!1,transform:nA.identity(),overpaint:jN.Empty,transparency:zN.Empty,substance:pR.Empty,clipping:CR.Empty,markerActions:RN.All}}function t(A,e){void 0!==e.visible&&(A.visible=e.visible),void 0!==e.alphaFactor&&(A.alphaFactor=e.alphaFactor),void 0!==e.pickable&&(A.pickable=e.pickable),void 0!==e.colorOnly&&(A.colorOnly=e.colorOnly),void 0!==e.overpaint&&(A.overpaint=e.overpaint),void 0!==e.transparency&&(A.transparency=e.transparency),void 0!==e.substance&&(A.substance=e.substance),void 0!==e.clipping&&(A.clipping=e.clipping),void 0!==e.syncManually&&(A.syncManually=e.syncManually),void 0!==e.transform&&nA.copy(A.transform,e.transform),void 0!==e.markerActions&&(A.markerActions=e.markerActions)}var r;(r=A.Loci||(A.Loci={})).areEqual=function(A,e){return A.repr===e.repr&&VN.areEqual(A.loci,e.loci)},r.isEmpty=function(A){return VN.isEmpty(A.loci)},r.Empty={loci:PN},A.createState=e,A.updateState=t,A.StateBuilder={create:e,update:t},A.Empty={label:"",groupCount:0,renderObjects:[],geometryVersion:-1,props:{},params:{},updated:new Sh,state:e(),theme:wN.createEmpty(),createOrUpdate:function(){return Pe.constant("",void 0)},setState:function(){},setTheme:function(){},getLoci:function(){return PN},mark:function(){return!1},destroy:function(){}};var n=function(){function A(){this.curr=new Set,this.next=new Set,this._version=-1}return Object.defineProperty(A.prototype,"version",{get:function(){return this._version},enumerable:!1,configurable:!0}),A.prototype.add=function(A,e){this.next.add(ie(A,e))},A.prototype.snapshot=function(){var A;oa.areEqual(this.curr,this.next)||(this._version+=1),A=[this.next,this.curr],this.curr=A[0],this.next=A[1],this.next.clear()},A}();A.GeometryState=n,A.createMulti=function(A,e,t,r,i){var o,a,s,u=this,g=0,c=new Sh,B=new n,l=r.create(),Q=wN.createEmpty(),I={},d=Object.keys(i).map((function(A,r){I[r]=A;var n=i[A](e,t);return n.setState(l),n}));return{label:A,updated:c,get groupCount(){var A=0;if(a)for(var e=a.visuals,t=0,r=d.length;t<r;++t)e&&!e.includes(I[t])||(A+=d[t].groupCount);return A},get renderObjects(){var A=[];if(a)for(var e=a.visuals,t=0,r=d.length;t<r;++t)e&&!e.includes(I[t])||A.push.apply(A,d[t].renderObjects);return A},get geometryVersion(){return B.version},get props(){return a},get params(){return o},createOrUpdate:function(r,n){void 0===r&&(r={}),n&&n!==s&&(o=t(e,n),s=n,a||(a=ir.getDefaultValues(o)));var i=WN(Object.assign({},a,r),s);Object.assign(a,r,i);var l=a.visuals;return Pe.create("Creating or updating '".concat(A,"' representation"),(function(A){return F(u,void 0,void 0,(function(){var e,t;return U(this,(function(r){switch(r.label){case 0:e=0,t=d.length,r.label=1;case 1:return e<t?l&&!l.includes(I[e])?[3,3]:[4,d[e].createOrUpdate(a,s).runInContext(A)]:[3,5];case 2:r.sent(),r.label=3;case 3:B.add(e,d[e].geometryVersion),r.label=4;case 4:return++e,[3,1];case 5:return B.snapshot(),c.next(g++),[2]}}))}))}))},get state(){return l},get theme(){return Q},getLoci:function(A){for(var e=a.visuals,t=0,r=d.length;t<r;++t)if(!e||e.includes(I[t])){var n=d[t].getLoci(A);if(!JN(n))return n}return PN},mark:function(A,e){for(var t=!1,r=0,n=d.length;r<n;++r)t=d[r].mark(A,e)||t;return t},setState:function(A){r.update(l,A);for(var e=0,t=d.length;e<t;++e)d[e].setState(A)},setTheme:function(A){Q=A;for(var e=0,t=d.length;e<t;++e)d[e].setTheme(A)},destroy:function(){for(var A=0,e=d.length;A<e;++A)d[A].destroy()}}},A.fromRenderObject=function(e,t){var r=this,i=0,o=new Sh,a=new n,s=A.createState(),u=wN.createEmpty(),g=ir.clone(Ki.Params),c=ir.getDefaultValues(Ki.Params);return{label:e,updated:o,get groupCount(){return t.values.uGroupCount.ref.value},get renderObjects(){return[t]},get geometryVersion(){return a.version},get props(){return c},get params(){return g},createOrUpdate:function(A){void 0===A&&(A={});var n=WN(Object.assign({},c,A));return Object.assign(c,A,n),Pe.create("Updating '".concat(e,"' representation"),(function(A){return F(r,void 0,void 0,(function(){return U(this,(function(A){return a.add(0,t.id),a.snapshot(),o.next(i++),[2]}))}))}))},get state(){return s},get theme(){return u},getLoci:function(){return PN},mark:function(A,e){return!1},setState:function(e){void 0!==e.visible&&QR.setVisibility(t,e.visible),void 0!==e.alphaFactor&&QR.setAlphaFactor(t,e.alphaFactor),void 0!==e.pickable&&QR.setPickable(t,e.pickable),void 0!==e.colorOnly&&QR.setColorOnly(t,e.colorOnly),e.overpaint,e.transparency,e.substance,void 0!==e.transform&&QR.setTransform(t,e.transform),A.updateState(s,e)},setTheme:function(){},destroy:function(){}}}}(vR||(vR={}));var wR=nA(),FR=function(){function A(A){this.structure=A,this.groupUnitTransforms=[],this.unitOffsetMap=Fi.Mutable(),this.groupIndexMap=Fi.Mutable(),this._isIdentity=void 0,this.version=0,this.unitTransforms=new Float32Array(16*A.units.length),this.size=A.units.length,this.reset();for(var e=0,t=0,r=A.unitSymmetryGroups.length;t<r;++t){var n=A.unitSymmetryGroups[t];this.groupIndexMap.set(n.hashCode,t);var i=this.unitTransforms.subarray(e,e+16*n.units.length);this.groupUnitTransforms.push(i);for(var o=0,a=n.units.length;o<a;++o)this.unitOffsetMap.set(n.units[o].id,e+16*o);e+=16*n.units.length}}return A.prototype.reset=function(){this.version=0,Ur(this.unitTransforms,this.size),this._isIdentity=!0},Object.defineProperty(A.prototype,"isIdentity",{get:function(){if(void 0===this._isIdentity){this._isIdentity=!0;for(var A=0,e=16*this.size;A<e;A+=16)if(nA.fromArray(wR,this.unitTransforms,A),!nA.isIdentity(wR)){this._isIdentity=!1;break}}return this._isIdentity},enumerable:!1,configurable:!0}),A.prototype.setTransform=function(A,e){this.version=(this.version+1)%2147483647,nA.toArray(A,this.unitTransforms,this.unitOffsetMap.get(e.id)),this._isIdentity=void 0},A.prototype.getTransform=function(A,e){return nA.fromArray(A,this.unitTransforms,this.unitOffsetMap.get(e.id))},A.prototype.getSymmetryGroupTransforms=function(A){return this.groupUnitTransforms[this.groupIndexMap.get(A.hashCode)]},A}(),UR=nA();function SR(A,e,t){for(var r=0,n=A.units.length;r<n;r++){var i=A.units[r];gs.lerpFromIdentity(UR,i.conformation.operator,t),e.setTransform(UR,i)}}var NR=gA(),RR=gA(),HR=nA();function GR(A,e,t,r){for(var n=r.radius*t,i=0,o=A.units.length;i<o;i++){var a=A.units[i];gA.transformMat4(NR,a.lookup3d.boundary.sphere.center,a.conformation.operator.matrix),gA.sub(RR,NR,r.center),gA.setMagnitude(RR,RR,n),nA.fromTranslation(HR,RR),e.setTransform(HR,a)}}var MR={axis:ir.MappedStatic("custom",{structure:ir.Group({principalAxis:ir.Select("dirA",[["dirA","A"],["dirB","B"],["dirC","C"]])}),custom:ir.Group({vector:ir.Vec3(gA.create(0,0,1))})}),origin:ir.MappedStatic("structure",{structure:ir.Group({}),custom:ir.Group({vector:ir.Vec3(gA.create(0,0,0))})})};function LR(A,e){return{axis:"custom"===e.axis.name?e.axis.params.vector:BI.getPrincipalAxes(A).momentsAxes[e.axis.params.principalAxis],origin:"custom"===e.origin.name?e.origin.params.vector:BI.getPrincipalAxes(A).momentsAxes.origin}}var xR=nA(),kR=nA(),YR=nA();function _R(A,e,t,r,n){for(var i=0,o=A.units.length;i<o;i++){var a=A.units[i];gA.negate(RR,n),nA.fromTranslation(HR,RR),nA.fromRotation(xR,Math.PI*t*2,r),nA.fromTranslation(kR,n),nA.mul(YR,xR,HR),nA.mul(YR,kR,YR),e.setTransform(YR,a)}}var VR=nA.fromTranslation(nA(),gA.create(.5,.5,.5)),TR=Sy(Fy(Jy()),VR),PR=gA(),JR=nA(),OR=w(w({},Yv.Params),{cellColor:ir.Color(Rr.orange),cellScale:ir.Numeric(2,{min:.1,max:5,step:.1}),ref:ir.Select("model",ir.objectToOptions({origin:"Origin",model:"Model"}),{isEssential:!0}),attachment:ir.Select("corner",ir.objectToOptions({corner:"Corner",center:"Center"}),{isEssential:!0})}),KR={mesh:function(A,e){return bR(zR,Yv.Utils)}},jR=w({},OR);function zR(A,e,t,r){var n=function(A,e,t){var r=kD.createState(256,128,t),n=A.symmetry.spacegroup.cell.fromFractional;gA.copy(PR,A.ref),"center"===e.attachment?(gA.trunc(PR,PR),gA.subScalar(PR,PR,.5)):gA.floor(PR,PR),nA.fromTranslation(JR,PR);var i=Sy(Fy(TR),JR),o=Math.cbrt(A.symmetry.spacegroup.cell.volume)/300*e.cellScale;r.currentGroup=1,kD.addCage(r,n,i,o,2,20);var a=Ss.fromDimensionsAndTransform(Ss(),gA.unit,n);gA.transformMat4(PR,PR,n),Ss.translate(a,a,PR),Ss.expand(a,a,o);var s=kD.getMesh(r);return s.setBoundingSphere(a),s}(e,t,r&&r.geometry),i=Ku.getUnitcellLabel(e.symmetry);return ib.create(i,e,n,(function(){return t.cellColor}),(function(){return 1}),(function(){return i}))}function qR(A,e,t){var r=gA();return"model"===t.ref&&gA.transformMat4(r,dd.getCenter(A),e.spacegroup.cell.toFractional),{symmetry:e,ref:r}}var ZR,WR=new Uint16Array([0,1,2,1,3,2]),XR=HA.add3,$R=HA.add2,AH=HA.add;!function(A){A.create=function(A,e,t,r){void 0===A&&(A={}),void 0===e&&(e=2048),void 0===t&&(t=1024),e*=2,t*=2;var n=HA.create(Float32Array,3,t,r?r.centerBuffer.ref.value:e),i=HA.create(Float32Array,2,t,r?r.mappingBuffer.ref.value:e),o=HA.create(Float32Array,1,t,r?r.depthBuffer.ref.value:e),a=HA.create(Uint32Array,3,t,r?r.indexBuffer.ref.value:e),s=HA.create(Float32Array,1,t,r?r.groupBuffer.ref.value:e),u=HA.create(Float32Array,2,t,r?r.tcoordBuffer.ref.value:e),g=w(w({},ir.getDefaultValues(iy.Params)),A),c=g.attachment,B=g.background,l=g.backgroundMargin,Q=g.tether,I=g.tetherLength,d=g.tetherBaseWidth,h=function(A){var e=JSON.stringify(A);return void 0===oy[e]&&(oy[e]=new sy(A)),oy[e]}(g),E=.4*l,f=h.buffer/h.lineHeight,C=function(A,e,t,r,i){XR(n,A,e,t),AH(o,r),AH(s,i)};return{add:function(A,e,t,r,o,s,g){for(var l=0,p=A.length,m=0;m<p;++m)l+=(T=h.get(A[m])).nw-2*f;var 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0,Y=I*s,_=d*s;switch(c){case"bottom-left":N=D-Y/2,H=D+_/2,M=D,x=D,R=F-Y/2,G=F,L=F+_/2,k=F;break;case"bottom-center":N=0,H=_/2,M=-_/2,x=0,R=F-Y,G=F,L=F,k=F;break;case"bottom-right":N=b+Y/2,H=b,M=b-_/2,x=b,R=F-Y/2,G=F+_/2,L=F,k=F;break;case"middle-left":N=D-Y,H=D,M=D,x=D,R=0,G=-_/2,L=_/2,k=0;break;case"middle-center":N=0,H=0,M=0,x=0,R=0,G=0,L=0,k=0;break;case"middle-right":N=b+Y,H=b,M=b,x=b,R=0,G=_/2,L=-_/2,k=0;break;case"top-left":N=D-Y/2,H=D+_/2,M=D,x=D,R=w+Y/2,G=w,L=w-_/2,k=w;break;case"top-center":N=0,H=_/2,M=-_/2,x=0,R=w+Y,G=w,L=w,k=w;break;case"top-right":N=b+Y/2,H=b,M=b-_/2,x=b,R=w+Y/2,G=w-_/2,L=w,k=w;break;default:throw new Error("unsupported attachment")}for($R(i,N,R),$R(i,H,G),$R(i,M,L),$R(i,x,k),U=n.elementCount,S=0;S<4;++S)$R(u,10,10),C(e,t,r,o,g);XR(a,U,U+1,U+3),XR(a,U,U+3,U+2)}v+=f,y+=f;var V=0;for(m=0;m<p;++m){var T,P=(V-v)*s,J=(V+(T=h.get(A[m])).nw-v)*s,O=(T.nh-y)*s,K=-y*s;$R(i,P,O),$R(i,P,K),$R(i,J,O),$R(i,J,K);var j=h.texture.width,z=h.texture.height;for($R(u,T.x/j,T.y/z),$R(u,T.x/j,(T.y+T.h)/z),$R(u,(T.x+T.w)/j,T.y/z),$R(u,(T.x+T.w)/j,(T.y+T.h)/z),V+=T.nw-2*f,U=n.elementCount,S=0;S<4;++S)C(e,t,r,o,g);XR(a,U+WR[0],U+WR[1],U+WR[2]),XR(a,U+WR[3],U+WR[4],U+WR[5])}},getText:function(){var A=h.texture,e=HA.compact(n,!0),t=HA.compact(i,!0),g=HA.compact(o,!0),c=HA.compact(a,!0),B=HA.compact(s,!0),l=HA.compact(u,!0);return iy.create(A,e,t,g,c,B,l,a.elementCount/2,r)}}}}(ZR||(ZR={}));var eH={granularity:"element",condensed:!1,reverse:!1,countsOnly:!1,hidePrefix:!1,htmlStyling:!0};function tH(A,e){switch(void 0===e&&(e={}),A.kind){case"structure-loci":return A.structure.models.map((function(A){return A.entry})).filter((function(A){return!!A})).join(", ");case"element-loci":return iH(QI.ofLoci(A),e);case"bond-loci":var t=A.bonds[0];return t?aH(t):"";case"shape-loci":return A.shape.name;case"group-loci":var r=A.groups[0];return r?A.shape.getLabel(Tn.start(r.ids),r.instance):"";case"every-loci":return"Everything";case"empty-loci":return"Nothing";case"data-loci":return A.getLabel();case"volume-loci":return A.volume.label||"Volume";case"isosurface-loci":return["".concat(A.volume.label||"Volume"),"Isosurface at ".concat(Ly.IsoValue.toString(A.isoValue))].join(" | ");case"cell-loci":var n=Tn.size(A.indices),i=Tn.start(A.indices),o=Ly.IsoValue.absolute(A.volume.grid.cells.data[i]),a=Ly.IsoValue.toRelative(o,A.volume.grid.stats),s=["".concat(A.volume.label||"Volume"),"".concat(1===n?"Cell #".concat(i):"".concat(n," Cells"))];return 1===n&&s.push("".concat(Ly.IsoValue.toString(o)," (").concat(Ly.IsoValue.toString(a),")")),s.join(" | ")}}function rH(A,e){return 1===A?"1 ".concat(e):"".concat(A," ").concat(e,"s")}function nH(A,e,t,r,n,i){return"".concat(uH(e,{granularity:t,hidePrefix:r,reverse:n,condensed:i})," <small>[+ ").concat(rH(A-1,"other ".concat(vA(t))),"]</small>")}function iH(A,e){void 0===e&&(e={});var t=w(w({},eH),e),r=function(A,e,t,r,n){void 0===e&&(e=!1),void 0===t&&(t=!1),void 0===r&&(r=!1),void 0===n&&(n=!1);var i=A.structureCount,o=A.chainCount,a=A.residueCount,s=A.conformationCount,u=A.elementCount;if(e||1!==u||0!==a||0!==o){if(e||0!==u||1!==a||0!==o){if(e||0!==u||0!==a||1!==o){if(e)return g=[],i>0&&g.push(rH(i,"Structure")),o>0&&g.push(rH(o,"Chain")),a>0&&g.push(rH(a,"Residue")),s>0&&g.push(rH(s,"Conformation")),u>0&&g.push(rH(u,"Element")),g.join("<small> + </small>");var g=[];return 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w(w({},A),{markerActions:NN.None})}})}},IG=w(w(w(w(w({},cG),BG),lG),IH),{visuals:ir.MultiSelect(["vectors","sector","text"],ir.objectToOptions(QG))}),dG=gA(),hG=nA();function EG(A,e,t){var r=e.sphereA,n=e.sphereB,i=e.sphereC,o=e.arcDirA,a=e.arcDirC,s=e.arcNormal,u=A.loci,g=u[0],c=u[1],B=u[2];VN.getBoundingSphere(g,r),VN.getBoundingSphere(c,n),VN.getBoundingSphere(B,i),gA.sub(o,r.center,n.center),gA.sub(a,i.center,n.center),gA.cross(s,o,a);var l=Math.min(gA.magnitude(o),gA.magnitude(a))*t;return e.radius=l,e.angle=gA.angle(o,a),e}function fG(A,e){var t=A.radius,r=A.angle,n=e?rA(r,t)/e:32;return nA.targetTo(hG,A.sphereB.center,A.sphereA.center,A.arcNormal),nA.setTranslation(hG,A.sphereB.center),nA.mul(hG,hG,nA.rotY180),Dy(sG({radius:t,thetaLength:r,segments:n}),hG)}var CG={sphereA:Ss(),sphereB:Ss(),sphereC:Ss(),arcDirA:gA(),arcDirC:gA(),arcNormal:gA(),radius:0,angle:0};function pG(A){return 1===A.triples.length?"Angle 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t.linesSize}),(function(){return""}))}function vG(A,e,t,r){var n=function(A,e,t){for(var r=kD.createState(128,64,t),n=0,i=A.triples.length;n<i;++n){EG(A.triples[n],CG,e.arcScale);var o=fG(CG);r.currentGroup=n,kD.addPrimitive(r,nA.id,o),kD.addPrimitiveFlipped(r,nA.id,o)}return kD.getMesh(r)}(e,t,r&&r.geometry),i=pG(e);return ib.create(i,e,n,(function(){return t.color}),(function(){return 1}),(function(A){return BH(e.triples[A])}))}function DG(A,e,t,r){var n=function(A,e,t){for(var r=ZR.create(e,128,64,t),n=0,i=A.triples.length;n<i;++n){EG(A.triples[n],CG,e.arcScale),gA.add(dG,CG.arcDirA,CG.arcDirC),gA.setMagnitude(dG,dG,CG.radius),gA.add(dG,CG.sphereB.center,dG);var o=tA(CG.angle).toFixed(2),a=e.customText||"".concat(o,"°"),s=Math.max(2,CG.sphereA.radius,CG.sphereB.radius,CG.sphereC.radius)/2;r.add(a,dG[0],dG[1],dG[2],.1,s,n)}return r.getText()}(e,t,r&&r.geometry),i=pG(e);return ib.create(i,e,n,(function(){return t.textColor}),(function(){return t.textSize}),(function(A){return 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bR(KG,Yv.Utils,{modifyProps:function(A){return w(w({},A),{alpha:A.sectorOpacity})},modifyState:function(A){return w(w({},A),{markerActions:RN.Highlighting})}})},text:function(A,e){return bR(jG,iy.Utils,{modifyState:function(A){return w(w({},A),{markerActions:NN.None})}})}},GG=w(w(w(w(w(w(w({},FG),UG),SG),NG),RG),IH),{visuals:ir.MultiSelect(["extenders","arms","sector","text"],ir.objectToOptions(HG))}),MG=gA(),LG=nA();function xG(A,e,t){var 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gA.add(g,i.center,gA.setMagnitude(MG,s,b)),e}function kG(A,e){var t=A.radius,r=A.angle,n=e?rA(r,t)/e:32;return nA.targetTo(LG,A.arcCenter,r<0?A.arcPointD:A.arcPointA,A.arcNormal),nA.setTranslation(LG,A.arcCenter),nA.mul(LG,LG,nA.rotY180),Dy(sG({radius:t,thetaLength:Math.abs(r),segments:n}),LG)}var YG={sphereA:Ss(),sphereB:Ss(),sphereC:Ss(),sphereD:Ss(),dirBA:gA(),dirCD:gA(),projA:gA(),projD:gA(),arcPointA:gA(),arcPointD:gA(),arcDirA:gA(),arcDirD:gA(),arcCenter:gA(),arcNormal:gA(),radius:0,angle:0};function _G(A){return 1===A.quads.length?"Dihedral ".concat(lH(A.quads[0],{measureOnly:!0})):"".concat(A.quads.length," Dihedrals")}function VG(A,e,t,r){var n=function(A,e,t){for(var r=gy.create(128,64,t),n=0,i=A.quads.length;n<i;++n)xG(A.quads[n],YG,e.arcScale),r.addFixedLengthDashes(YG.arcCenter,YG.arcPointA,e.dashLength,n),r.addFixedLengthDashes(YG.arcCenter,YG.arcPointD,e.dashLength,n);return r.getLines()}(e,t,r&&r.geometry),i=_G(e);return ib.create(i,e,n,(function(){return t.color}),(function(){return t.linesSize}),(function(){return""}))}function TG(A,e,t,r){var n=function(A,e,t){for(var r=gy.create(128,64,t),n=0,i=A.quads.length;n<i;++n)xG(A.quads[n],YG,e.arcScale),r.addFixedLengthDashes(YG.sphereB.center,YG.sphereC.center,e.dashLength,n);return r.getLines()}(e,t,r&&r.geometry),i=_G(e);return ib.create(i,e,n,(function(){return t.color}),(function(){return t.linesSize}),(function(){return""}))}function PG(A,e,t,r){var n=function(A,e,t){for(var r=gy.create(128,64,t),n=0,i=A.quads.length;n<i;++n)xG(A.quads[n],YG,e.arcScale),r.addFixedLengthDashes(YG.sphereB.center,YG.sphereA.center,e.dashLength,n),r.addFixedLengthDashes(YG.sphereC.center,YG.sphereD.center,e.dashLength,n);return r.getLines()}(e,t,r&&r.geometry),i=_G(e);return ib.create(i,e,n,(function(){return t.color}),(function(){return t.linesSize}),(function(){return""}))}function JG(A,e,t,r){var n=function(A,e,t){for(var r=gy.create(128,64,t),n=0,i=A.quads.length;n<i;++n)xG(A.quads[n],YG,e.arcScale),r.addFixedLengthDashes(YG.arcPointA,YG.projA,e.dashLength,n),r.addFixedLengthDashes(YG.arcPointD,YG.projD,e.dashLength,n);return r.getLines()}(e,t,r&&r.geometry),i=_G(e);return ib.create(i,e,n,(function(){return t.color}),(function(){return t.linesSize}),(function(){return""}))}function OG(A,e,t,r){var n=function(A,e,t){for(var r=gy.create(128,64,t),n=0,i=A.quads.length;n<i;++n){xG(A.quads[n],YG,e.arcScale);for(var o=kG(YG,e.dashLength),a=o.indices,s=o.vertices,u=0,g=a.length;u<g;u+=3)if(u%2!=1){var c=3*a[u],B=3*a[u+1],l=s[c],Q=s[c+1],I=s[c+2],d=s[B],h=s[B+1],E=s[B+2];r.add(l,Q,I,d,h,E,n)}}return r.getLines()}(e,t,r&&r.geometry),i=_G(e);return ib.create(i,e,n,(function(){return t.color}),(function(){return t.linesSize}),(function(){return""}))}function KG(A,e,t,r){var n=function(A,e,t){for(var r=kD.createState(128,64,t),n=0,i=A.quads.length;n<i;++n){xG(A.quads[n],YG,e.arcScale);var 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c.sent(),a.setTheme(wN.create(e.representation.structure.themes,{structure:o},n)),s=n.type.params||{},[4,a.createOrUpdate(s,o).runInContext(A)];case 4:return c.sent(),[2,new qf.Molecule.Structure.Representation3D({repr:a,sourceData:r.data},{label:i.label})]}}))}))}))},update:function(A,e){var t=this,r=A.a,n=A.b,i=A.oldParams,o=A.newParams;return A.cache,Pe.create("Structure Representation",(function(A){return F(t,void 0,void 0,(function(){var t,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:return o.type.name!==i.type.name?[2,Hd.UpdateResult.Recreate]:(t=e.representation.structure.registry.get(o.type.name),(null===(g=t.mustRecreate)||void 0===g?void 0:g.call(t,i.type.params,o.type.params))?[2,Hd.UpdateResult.Recreate]:(a=(null===(c=t.getData)||void 0===c?void 0:c.call(t,r.data,o.type.params))||r.data,s={runtime:A,assetManager:e.managers.asset},t.ensureCustomProperties?[4,t.ensureCustomProperties.attach(s,a)]:[3,2]));case 1:B.sent(),B.label=2;case 2:return wN.releaseDependencies(e.representation.structure.themes,{structure:n.data.sourceData},i),[4,wN.ensureDependencies(s,e.representation.structure.themes,{structure:a},o)];case 3:return B.sent(),n.data.repr.setTheme(wN.create(e.representation.structure.themes,{structure:a},o)),u=w(w({},n.data.repr.props),o.type.params),[4,n.data.repr.createOrUpdate(u,a).runInContext(A)];case 4:return B.sent(),n.data.sourceData=r.data,[2,Hd.UpdateResult.Updated]}}))}))}))},dispose:function(A,e){var t=A.b,r=A.params;if(t&&r){var n=t.data.sourceData,i=e.representation.structure.registry.get(r.type.name);i.ensureCustomProperties&&i.ensureCustomProperties.detach(n),wN.releaseDependencies(e.representation.structure.themes,{structure:n},r)}},interpolate:function(A,e,t){if("uniform"!==A.colorTheme.name||"uniform"!==e.colorTheme.name)return t<=.5?A:e;var r=A.colorTheme.params.value,n=e.colorTheme.params.value,i=SA.interpolate(r,n,t);return{type:t<=.5?A.type:e.type,colorTheme:{name:"uniform",params:{value:i}},sizeTheme:t<=.5?A.sizeTheme:e.sizeTheme}}}),oM=Zf.BuiltIn({name:"unwind-structure-assembly-representation-3d",display:"Unwind Assembly 3D Representation",from:qf.Molecule.Structure.Representation3D,to:qf.Molecule.Structure.Representation3DState,params:{t:ir.Numeric(0,{min:0,max:1,step:.01})}})({canAutoUpdate:function(){return!0},apply:function(A){var e=A.a,t=A.params,r=e.data.sourceData,n=new FR(r);return SR(r,n,t.t),new qf.Molecule.Structure.Representation3DState({state:{unitTransforms:n},initialState:{unitTransforms:new FR(r)},info:r,repr:e.data.repr},{label:"Unwind T = ".concat(t.t.toFixed(2))})},update:function(A){var e=A.a,t=A.b,r=A.newParams,n=A.oldParams,i=t.data.info;return e.data.sourceData!==i||e.data.repr!==t.data.repr?Hd.UpdateResult.Recreate:n.t===r.t?Hd.UpdateResult.Unchanged:(SR(i,t.data.state.unitTransforms,r.t),t.label="Unwind T = ".concat(r.t.toFixed(2)),t.data.repr=e.data.repr,Hd.UpdateResult.Updated)}}),aM=Zf.BuiltIn({name:"explode-structure-representation-3d",display:"Explode 3D Representation",from:qf.Molecule.Structure.Representation3D,to:qf.Molecule.Structure.Representation3DState,params:{t:ir.Numeric(0,{min:0,max:1,step:.01})}})({canAutoUpdate:function(){return!0},apply:function(A){var e=A.a,t=A.params,r=e.data.sourceData,n=new FR(r);return GR(r,n,t.t,r.root.boundary.sphere),new qf.Molecule.Structure.Representation3DState({state:{unitTransforms:n},initialState:{unitTransforms:new FR(r)},info:r,repr:e.data.repr},{label:"Explode T = ".concat(t.t.toFixed(2))})},update:function(A){var e=A.a,t=A.b,r=A.newParams,n=A.oldParams,i=e.data.sourceData;return t.data.info!==i||e.data.repr!==t.data.repr?Hd.UpdateResult.Recreate:n.t===r.t?Hd.UpdateResult.Unchanged:(GR(i,t.data.state.unitTransforms,r.t,i.root.boundary.sphere),t.label="Explode T = ".concat(r.t.toFixed(2)),t.data.repr=e.data.repr,Hd.UpdateResult.Updated)}}),sM=Zf.BuiltIn({name:"spin-structure-representation-3d",display:"Spin 3D Representation",from:qf.Molecule.Structure.Representation3D,to:qf.Molecule.Structure.Representation3DState,params:w({t:ir.Numeric(0,{min:0,max:1,step:.01})},MR)})({canAutoUpdate:function(){return!0},apply:function(A){var e=A.a,t=A.params,r=e.data.sourceData,n=new FR(r),i=LR(r.root,t),o=i.axis,a=i.origin;return _R(r,n,t.t,o,a),new qf.Molecule.Structure.Representation3DState({state:{unitTransforms:n},initialState:{unitTransforms:new FR(r)},info:r,repr:e.data.repr},{label:"Spin T = ".concat(t.t.toFixed(2))})},update:function(A){var e=A.a,t=A.b,r=A.newParams,n=A.oldParams,i=e.data.sourceData;if(t.data.info!==i)return Hd.UpdateResult.Recreate;if(e.data.repr!==t.data.repr)return Hd.UpdateResult.Recreate;if(n.t===r.t&&n.axis===r.axis&&n.origin===r.origin)return Hd.UpdateResult.Unchanged;var o=t.data.state.unitTransforms,a=LR(i.root,r),s=a.axis,u=a.origin;return _R(i,o,r.t,s,u),t.label="Spin T = ".concat(r.t.toFixed(2)),t.data.repr=e.data.repr,Hd.UpdateResult.Updated}}),uM=Zf.BuiltIn({name:"overpaint-structure-representation-3d-from-script",display:"Overpaint 3D Representation",from:qf.Molecule.Structure.Representation3D,to:qf.Molecule.Structure.Representation3DState,params:function(){return{layers:ir.ObjectList({script:ir.Script(Uw("(sel.atom.all)","mol-script")),color:ir.Color(Rr.blueviolet),clear:ir.Boolean(!1)},(function(A){return"".concat(A.clear?"Clear":SA.toRgbString(A.color))}),{defaultValue:[{script:Uw("(sel.atom.all)","mol-script"),color:Rr.blueviolet,clear:!1}]})}}})({canAutoUpdate:function(){return!0},apply:function(A){var e=A.a,t=A.params,r=e.data.sourceData,n=e.data.repr.geometryVersion,i=jN.ofScript(t.layers,r);return new qf.Molecule.Structure.Representation3DState({state:{overpaint:i},initialState:{overpaint:jN.Empty},info:{structure:r,geometryVersion:n},repr:e.data.repr},{label:"Overpaint (".concat(i.layers.length," Layers)")})},update:function(A){var e=A.a,t=A.b,r=A.newParams,n=(A.oldParams,t.data.info),i=e.data.sourceData;if(i!==n.structure)return Hd.UpdateResult.Recreate;if(e.data.repr!==t.data.repr)return Hd.UpdateResult.Recreate;var o=e.data.repr.geometryVersion;if(o!==n.geometryVersion&&Xi(e.data.repr.props))return Hd.UpdateResult.Unchanged;var a=t.data.state.overpaint,s=jN.ofScript(r.layers,i);return jN.areEqual(a,s)?Hd.UpdateResult.Unchanged:(n.geometryVersion=o,t.data.state.overpaint=s,t.data.repr=e.data.repr,t.label="Overpaint (".concat(s.layers.length," Layers)"),Hd.UpdateResult.Updated)}}),gM=Zf.BuiltIn({name:"overpaint-structure-representation-3d-from-bundle",display:"Overpaint 3D 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o=e.data.repr.geometryVersion;if(o!==n.geometryVersion&&Xi(e.data.repr.props))return Hd.UpdateResult.Unchanged;var a=t.data.state.overpaint,s=jN.ofBundle(r.layers,i);return jN.areEqual(a,s)?Hd.UpdateResult.Unchanged:(n.geometryVersion=o,t.data.state.overpaint=s,t.data.repr=e.data.repr,t.label="Overpaint (".concat(s.layers.length," Layers)"),Hd.UpdateResult.Updated)}}),cM=Zf.BuiltIn({name:"transparency-structure-representation-3d-from-script",display:"Transparency 3D Representation",from:qf.Molecule.Structure.Representation3D,to:qf.Molecule.Structure.Representation3DState,params:function(){return{layers:ir.ObjectList({script:ir.Script(Uw("(sel.atom.all)","mol-script")),value:ir.Numeric(.5,{min:0,max:1,step:.01},{label:"Transparency"})},(function(A){return"Transparency (".concat(A.value,")")}),{defaultValue:[{script:Uw("(sel.atom.all)","mol-script"),value:.5}]})}}})({canAutoUpdate:function(){return!0},apply:function(A){var e=A.a,t=A.params,r=e.data.sourceData,n=e.data.repr.geometryVersion,i=zN.ofScript(t.layers,r);return new qf.Molecule.Structure.Representation3DState({state:{transparency:i},initialState:{transparency:zN.Empty},info:{structure:r,geometryVersion:n},repr:e.data.repr},{label:"Transparency (".concat(i.layers.length," Layers)")})},update:function(A){var e=A.a,t=A.b,r=A.newParams,n=(A.oldParams,t.data.info),i=e.data.sourceData;if(i!==n.structure)return Hd.UpdateResult.Recreate;if(e.data.repr!==t.data.repr)return Hd.UpdateResult.Recreate;var o=e.data.repr.geometryVersion;if(o!==n.geometryVersion&&Xi(e.data.repr.props))return Hd.UpdateResult.Unchanged;var a=t.data.state.transparency,s=zN.ofScript(r.layers,i);return zN.areEqual(a,s)?Hd.UpdateResult.Unchanged:(n.geometryVersion=o,t.data.state.transparency=s,t.data.repr=e.data.repr,t.label="Transparency (".concat(s.layers.length," Layers)"),Hd.UpdateResult.Updated)}}),BM=Zf.BuiltIn({name:"transparency-structure-representation-3d-from-bundle",display:"Transparency 3D Representation",from:qf.Molecule.Structure.Representation3D,to:qf.Molecule.Structure.Representation3DState,params:function(){return{layers:ir.ObjectList({bundle:ir.Value(jB.Empty),value:ir.Numeric(.5,{min:0,max:1,step:.01},{label:"Transparency"})},(function(A){return"Transparency (".concat(A.value,")")}),{defaultValue:[{bundle:jB.Empty,value:.5}],isHidden:!0})}}})({canAutoUpdate:function(){return!0},apply:function(A){var e=A.a,t=A.params,r=e.data.sourceData,n=e.data.repr.geometryVersion,i=zN.ofBundle(t.layers,r);return new qf.Molecule.Structure.Representation3DState({state:{transparency:i},initialState:{transparency:zN.Empty},info:{structure:r,geometryVersion:n},repr:e.data.repr},{label:"Transparency (".concat(i.layers.length," Layers)")})},update:function(A){var e=A.a,t=A.b,r=A.newParams,n=(A.oldParams,t.data.info),i=e.data.sourceData;if(i!==n.structure)return Hd.UpdateResult.Recreate;if(e.data.repr!==t.data.repr)return Hd.UpdateResult.Recreate;var o=e.data.repr.geometryVersion;if(o!==n.geometryVersion&&Xi(e.data.repr.props))return Hd.UpdateResult.Unchanged;var a=t.data.state.transparency,s=zN.ofBundle(r.layers,i);return zN.areEqual(a,s)?Hd.UpdateResult.Unchanged:(n.geometryVersion=o,t.data.state.transparency=s,t.data.repr=e.data.repr,t.label="Transparency (".concat(s.layers.length," Layers)"),Hd.UpdateResult.Updated)}}),lM=Zf.BuiltIn({name:"substance-structure-representation-3d-from-script",display:"Substance 3D 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Hd.UpdateResult.Recreate;var o=e.data.repr.geometryVersion;if(o!==n.geometryVersion&&Xi(e.data.repr.props))return Hd.UpdateResult.Unchanged;var a=t.data.state.substance,s=pR.ofScript(r.layers,i);return pR.areEqual(a,s)?Hd.UpdateResult.Unchanged:(n.geometryVersion=o,t.data.state.substance=s,t.data.repr=e.data.repr,t.label="Substance (".concat(s.layers.length," Layers)"),Hd.UpdateResult.Updated)}}),QM=Zf.BuiltIn({name:"substance-structure-representation-3d-from-bundle",display:"Substance 3D Representation",from:qf.Molecule.Structure.Representation3D,to:qf.Molecule.Structure.Representation3DState,params:function(){return{layers:ir.ObjectList({bundle:ir.Value(jB.Empty),material:Oi.getParam(),clear:ir.Boolean(!1)},(function(A){return"".concat(A.clear?"Clear":Oi.toString(A.material))}),{defaultValue:[{bundle:jB.Empty,material:Oi({roughness:1}),clear:!1}],isHidden:!0})}}})({canAutoUpdate:function(){return!0},apply:function(A){var e=A.a,t=A.params,r=e.data.sourceData,n=e.data.repr.geometryVersion,i=pR.ofBundle(t.layers,r);return new qf.Molecule.Structure.Representation3DState({state:{substance:i},initialState:{substance:pR.Empty},info:{structure:r,geometryVersion:n},repr:e.data.repr},{label:"Substance (".concat(i.layers.length," Layers)")})},update:function(A){var e=A.a,t=A.b,r=A.newParams,n=(A.oldParams,t.data.info),i=e.data.sourceData;if(i!==n.structure)return Hd.UpdateResult.Recreate;if(e.data.repr!==t.data.repr)return Hd.UpdateResult.Recreate;var o=e.data.repr.geometryVersion;if(o!==n.geometryVersion&&Xi(e.data.repr.props))return Hd.UpdateResult.Unchanged;var a=t.data.state.substance,s=pR.ofBundle(r.layers,i);return pR.areEqual(a,s)?Hd.UpdateResult.Unchanged:(n.geometryVersion=o,t.data.state.substance=s,t.data.repr=e.data.repr,t.label="Substance (".concat(s.layers.length," Layers)"),Hd.UpdateResult.Updated)}}),IM=Zf.BuiltIn({name:"clipping-structure-representation-3d-from-script",display:"Clipping 3D 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Hd.UpdateResult.Recreate;if(e.data.repr!==t.data.repr)return Hd.UpdateResult.Recreate;var i=t.data.state.clipping,o=CR.ofScript(r.layers,n);return CR.areEqual(i,o)?Hd.UpdateResult.Unchanged:(t.data.state.clipping=o,t.data.repr=e.data.repr,t.label="Clipping (".concat(o.layers.length," Layers)"),Hd.UpdateResult.Updated)}}),dM=Zf.BuiltIn({name:"clipping-structure-representation-3d-from-bundle",display:"Clipping 3D Representation",from:qf.Molecule.Structure.Representation3D,to:qf.Molecule.Structure.Representation3DState,params:function(){return{layers:ir.ObjectList({bundle:ir.Value(jB.Empty),groups:ir.Converted((function(A){return CR.Groups.toNames(A)}),(function(A){return CR.Groups.fromNames(A)}),ir.MultiSelect(GN(CR.Groups.Names),ir.objectToOptions(CR.Groups.Names)))},(function(A){return"".concat(CR.Groups.toNames(A.groups).length," group(s)")}),{defaultValue:[{bundle:jB.Empty,groups:0}],isHidden:!0})}}})({canAutoUpdate:function(){return!0},apply:function(A){var e=A.a,t=A.params,r=e.data.sourceData,n=CR.ofBundle(t.layers,r);return new qf.Molecule.Structure.Representation3DState({state:{clipping:n},initialState:{clipping:CR.Empty},info:r,repr:e.data.repr},{label:"Clipping (".concat(n.layers.length," Layers)")})},update:function(A){var e=A.a,t=A.b,r=A.newParams,n=(A.oldParams,t.data.info);if(e.data.sourceData!==n)return Hd.UpdateResult.Recreate;if(e.data.repr!==t.data.repr)return Hd.UpdateResult.Recreate;var i=t.data.state.clipping,o=CR.ofBundle(r.layers,n);return CR.areEqual(i,o)?Hd.UpdateResult.Unchanged:(t.data.state.clipping=o,t.data.repr=e.data.repr,t.label="Clipping (".concat(o.layers.length," Layers)"),Hd.UpdateResult.Updated)}});!function(A){A.getDefaultParams=function(A,e,t,r){var n=A.representation.volume.registry.get(e),i={volume:t},o=A.representation.volume.themes.colorThemeRegistry.get(n.defaultColorTheme.name).getParams(i),a=A.representation.volume.themes.sizeThemeRegistry.get(n.defaultSizeTheme.name).getParams(i),s=ir.getDefaultValues(n.getParams(A.representation.volume.themes,t));return{type:{name:e,params:r?w(w({},s),r):s},colorTheme:{name:n.defaultColorTheme.name,params:ir.getDefaultValues(o)},sizeTheme:{name:n.defaultSizeTheme.name,params:ir.getDefaultValues(a)}}},A.getDefaultParamsStatic=function(A,e,t,r,n,i,o){var a=A.representation.volume.registry.get(e),s=A.representation.volume.themes.colorThemeRegistry.get(r||a.defaultColorTheme.name),u=A.representation.volume.themes.sizeThemeRegistry.get(i||a.defaultSizeTheme.name);return{type:{name:e,params:t?w(w({},a.defaultValues),t):a.defaultValues},colorTheme:{name:a.defaultColorTheme.name,params:n?w(w({},s.defaultValues),n):s.defaultValues},sizeTheme:{name:a.defaultSizeTheme.name,params:o?w(w({},u.defaultValues),o):u.defaultValues}}},A.getDescription=function(A){var e,t,r,n;return A.isoValue?Ly.IsoValue.toString(A.isoValue):(null===(t=null===(e=A.renderMode)||void 0===e?void 0:e.params)||void 0===t?void 0:t.isoValue)?Ly.IsoValue.toString(null===(n=null===(r=A.renderMode)||void 0===r?void 0:r.params)||void 0===n?void 0:n.isoValue):void 0}}(nM||(nM={}));var hM=Zf.BuiltIn({name:"volume-representation-3d",display:"3D Representation",from:qf.Volume.Data,to:qf.Volume.Representation3D,params:function(A,e){var t=e.representation.volume,r=t.registry,n=t.themes,i=r.get(r.default.name);if(!A)return{type:ir.Mapped(r.default.name,r.types,(function(A){return ir.Group(r.get(A).getParams(n,Ly.One))})),colorTheme:ir.Mapped(i.defaultColorTheme.name,n.colorThemeRegistry.types,(function(A){return ir.Group(n.colorThemeRegistry.get(A).getParams({volume:Ly.One}))})),sizeTheme:ir.Mapped(i.defaultSizeTheme.name,n.sizeThemeRegistry.types,(function(A){return ir.Group(n.sizeThemeRegistry.get(A).getParams({volume:Ly.One}))}))};var o={volume:A.data};return{type:ir.Mapped(r.default.name,r.types,(function(e){return ir.Group(r.get(e).getParams(n,A.data))})),colorTheme:ir.Mapped(i.defaultColorTheme.name,n.colorThemeRegistry.getApplicableTypes(o),(function(A){return ir.Group(n.colorThemeRegistry.get(A).getParams(o))})),sizeTheme:ir.Mapped(i.defaultSizeTheme.name,n.sizeThemeRegistry.types,(function(A){return ir.Group(n.sizeThemeRegistry.get(A).getParams(o))}))}}})({canAutoUpdate:function(A){var 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t,r,n,i,o,a,s,u,g=A.defaultProps,c=A.createGeometry,B=A.createLocationIterator,l=A.getLoci,Q=A.eachLocation,I=A.setUpdateState,d=A.mustRecreate,h=A.processValues,E=A.dispose,f=A.geometryUtils,C=f.createEmpty,p=f.updateValues,m=f.updateBoundingSphere,y=f.updateRenderableState,v=f.createPositionIterator,D=TN.create(),b={loci:PN,action:NN.None,status:-1},w=Object.assign({},g),F=wN.createEmpty(),U=-1;function S(A){if(D.createNew){if(s=B(r),!A)throw new Error("expected geometry to be given");t=function(A,e,t,r,n,i){var o=kv.getUtils(e),a=o.createValues,s=o.createRenderableState,u=a(e,ML(A,n.includeParent),t,r,n),g=s(n);return fb(e.kind,u,g,i)}(r,A,s,F,w,e),u=v(A,t.values)}else{if(!t)throw new Error("expected renderObject to be available");if(D.updateTransform&&ep((s=B(r)).instanceCount*s.groupCount,t.values),D.updateMatrix&&ML(r,w.includeParent,t.values),D.createGeometry){if(!A)throw new Error("expected geometry to be 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1-Math.abs(n)<1e-5&&(gA.set(a_,1,0,0),n=gA.dot(o_,a_),1-Math.abs(n)<1e-5&&(gA.set(a_,0,1,0),n=gA.dot(o_,a_))),gA.setMagnitude(o_,o_,n),gA.sub(a_,a_,o_),gA.normalize(A,a_)}var g_=gA.scale,c_=gA.add,B_=gA.sub,l_=gA.setMagnitude,Q_=gA.dot;function I_(A,e,t,r){var n=e.linkCount,i=e.referencePosition,o=e.position,a=e.style,s=e.radius,u=e.ignore,g=e.stub;if(!n)return Yv.createEmpty(r);for(var c=t.linkScale,B=t.linkSpacing,l=t.radialSegments,Q=t.linkCap,I=t.aromaticScale,d=t.aromaticSpacing,h=t.aromaticDashCount,E=t.dashCount,f=t.dashScale,C=t.dashCap,p=t.stubCap,m=2*l*n*2,y=kD.createState(m,m/4,r),v=gA(),D=gA(),b=gA(),w={radiusTop:1,radiusBottom:1,radialSegments:l,topCap:Q,bottomCap:Q},F=E+1,U=0,S=n;U<S;++U)if(!u||!u(U)){o(v,D,U),B_(i_,D,v);var N=Q_(i_,s_)>0,R=s(U),H=a?a(U):0,G=p&&!!g&&g(U),M=N?[G,Q]:[Q,G],L=M[0],x=M[1];y.currentGroup=U;var k=h+1;if(0===H)w.radiusTop=w.radiusBottom=R,w.topCap=L,w.bottomCap=x,MD(y,v,D,.5,w);else if(1===H)w.radiusTop=w.radiusBottom=R*f,w.topCap=w.bottomCap=C,xD(y,v,D,.5,F,w);else if(2===H||3===H||4===H||5===H||7===H||8===H){var Y=2===H||3===H?2:4===H||5===H?3:1.5,_=R*(c/(.5*Y)),V=(R-_)*B;if(u_(b,v,D,i?i(U):null),w.topCap=L,w.bottomCap=x,7===H||8===H){w.radiusTop=w.radiusBottom=R,MD(y,v,D,.5,w);var T=R+I*R+I*R*d;l_(i_,B_(i_,D,v),.5*R),c_(v,v,i_),B_(D,D,i_),w.radiusTop=w.radiusBottom=R*I,w.topCap=w.bottomCap=C,l_(b,b,T),B_(v,v,b),B_(D,D,b),xD(y,v,D,.5,k,w),8===H&&(l_(b,b,2*T),c_(v,v,b),c_(D,D,b),xD(y,v,D,.5,k,w))}else if(3===H||5===H){var P=R+_+c*R*B;l_(b,b,P),w.radiusTop=w.radiusBottom=R,MD(y,v,D,.5,w),g_(i_,i_,B*c*.2),c_(v,v,i_),B_(D,D,i_),w.radiusTop=w.radiusBottom=_,w.topCap=N?G:C,w.bottomCap=N?C:G,l_(b,b,P),B_(v,v,b),B_(D,D,b),MD(y,v,D,.5,w),3===Y&&(l_(b,b,2*P),c_(v,v,b),c_(D,D,b),MD(y,v,D,.5,w))}else l_(b,b,V),w.radiusTop=w.radiusBottom=_,3===Y&&MD(y,v,D,.5,w),LD(y,v,D,.5,b,w)}else 6===H&&(g_(i_,i_,.475),c_(v,v,i_),B_(D,D,i_),w.radiusTop=w.radiusBottom=R,w.topCap=L,w.bottomCap=x,MD(y,v,D,.5,w))}return kD.getMesh(y)}function d_(A,e,t,r){var n=e.linkCount,i=e.referencePosition,o=e.position,a=e.style,s=e.radius,u=e.ignore,g=e.stub;if(!n)return xv.createEmpty(r);for(var c=t.linkScale,B=t.linkSpacing,l=t.linkCap,Q=t.aromaticScale,I=t.aromaticSpacing,d=t.aromaticDashCount,h=t.dashCount,E=t.dashScale,f=t.dashCap,C=t.stubCap,p=2*n,m=qY.create(p,p/4,r),y=gA(),v=gA(),D=gA(),b=gA(),w=h%2==1?h:h+1,F=.5-.25/w,U=d+1,S=.5-.25/U,N=0,R=n;N<R;++N)if(!u||!u(N)){o(y,v,N);var H=s(N),G=a?a(N):0,M=C&&!!g&&g(N);if(0===G)g_(D,c_(D,y,v),.5),m.add(y[0],y[1],y[2],D[0],D[1],D[2],1,l,M,N);else if(1===G)g_(i_,B_(i_,v,y),F),B_(v,v,i_),m.addFixedCountDashes(y,v,w,E,f,f,N);else if(2===G||3===G||4===G||5===G||7===G||8===G){var L=2===G||3===G?2:4===G||5===G?3:1.5,x=c/(.5*L),k=(H-x*H)*B;if(g_(D,c_(D,y,v),.5),u_(b,y,v,i?i(N):null),7===G||8===G){m.add(y[0],y[1],y[2],D[0],D[1],D[2],1,l,M,N);var Y=H+Q*H+Q*H*I;g_(i_,B_(i_,v,y),S),B_(v,v,i_),l_(i_,B_(i_,v,y),.5*H),c_(y,y,i_),l_(b,b,Y),B_(y,y,b),B_(v,v,b),m.addFixedCountDashes(y,v,U,Q,f,f,N),8===G&&(l_(b,b,2*Y),c_(y,y,b),c_(v,v,b),m.addFixedCountDashes(y,v,U,Q,f,f,N))}else 3===G||5===G?(l_(b,b,H+x*H+c*H*B),m.add(y[0],y[1],y[2],D[0],D[1],D[2],1,l,M,N),l_(i_,B_(i_,y,v),H/1.5),B_(y,y,i_),3===L&&m.add(y[0]+b[0],y[1]+b[1],y[2]+b[2],D[0]+b[0],D[1]+b[1],D[2]+b[2],x,l,M,N),m.add(y[0]-b[0],y[1]-b[1],y[2]-b[2],D[0]-b[0],D[1]-b[1],D[2]-b[2],x,f,M,N)):(l_(b,b,k),3===L&&m.add(y[0],y[1],y[2],D[0],D[1],D[2],x,l,M,N),m.add(y[0]+b[0],y[1]+b[1],y[2]+b[2],D[0]+b[0],D[1]+b[1],D[2]+b[2],x,l,M,N),m.add(y[0]-b[0],y[1]-b[1],y[2]-b[2],D[0]-b[0],D[1]-b[1],D[2]-b[2],x,l,M,N))}else 6===G&&(g_(i_,B_(i_,v,y),.475),c_(y,y,i_),B_(v,v,i_),m.add(y[0],y[1],y[2],v[0],v[1],v[2],1,l,M,N))}return m.getCylinders()}function h_(A,e,t,r){var n=e.linkCount,i=e.referencePosition,o=e.position,a=e.style,s=e.ignore;if(!n)return cy.createEmpty(r);for(var u=t.linkScale,g=t.linkSpacing,c=t.aromaticDashCount,B=t.dashCount,l=2*n,Q=gy.create(l,l/4,r),I=gA(),d=gA(),h=gA(),E=gA(),f=B%2==1?B:B+1,C=.5-.25/f,p=c+1,m=.5-.25/p,y=0,v=n;y<v;++y)if(!s||!s(y)){o(I,d,y);var D=a?a(y):0;if(0===D)g_(h,c_(h,I,d),.5),Q.add(I[0],I[1],I[2],h[0],h[1],h[2],y);else if(1===D)g_(i_,B_(i_,d,I),C),B_(d,d,i_),Q.addFixedCountDashes(I,d,f,y);else if(2===D||3===D||4===D||5===D||7===D||8===D){var b=2===D||3===D?2:4===D||5===D?3:1.5,w=(1-u/(.5*b)*1)*g;g_(h,c_(h,I,d),.5),u_(E,I,d,i?i(y):null),7===D||8===D?(Q.add(I[0],I[1],I[2],h[0],h[1],h[2],y),g_(i_,B_(i_,d,I),m),B_(d,d,i_),l_(E,E,4.5*w),B_(I,I,E),B_(d,d,E),Q.addFixedCountDashes(I,d,p,y),8===D&&(l_(E,E,4.5*w*2),c_(I,I,E),c_(d,d,E),Q.addFixedCountDashes(I,d,p,y))):3===D||5===D?(l_(E,E,3*w),Q.add(I[0],I[1],I[2],h[0],h[1],h[2],y),g_(i_,B_(i_,I,d),g*u),B_(I,I,i_),3===b&&Q.add(I[0]+E[0],I[1]+E[1],I[2]+E[2],h[0]+E[0],h[1]+E[1],h[2]+E[2],y),Q.add(I[0]-E[0],I[1]-E[1],I[2]-E[2],h[0]-E[0],h[1]-E[1],h[2]-E[2],y)):(l_(E,E,1.5*w),3===b&&Q.add(I[0],I[1],I[2],h[0],h[1],h[2],y),Q.add(I[0]+E[0],I[1]+E[1],I[2]+E[2],h[0]+E[0],h[1]+E[1],h[2]+E[2],y),Q.add(I[0]-E[0],I[1]-E[1],I[2]-E[2],h[0]-E[0],h[1]-E[1],h[2]-E[2],y))}else 6===D&&(g_(i_,B_(i_,d,I),.475),c_(I,I,i_),B_(d,d,i_),Q.add(I[0],I[1],I[2],d[0],d[1],d[2],y))}return Q.getLines()}function E_(A,e,t,r,n,i){return F(this,void 0,void 0,(function(){var A,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m;return U(this,(function(y){return TB.isAtomic(e)?(A=t.child,o=null==A?void 0:A.unitMap.get(e.id),A&&!o?[2,Yv.createEmpty(i)]:(a=hc.create(t,e),s=WY.get(t).value,u=s.unitsFeatures.get(e.id),g=s.unitsContacts.get(e.id),c=u.x,B=u.y,l=u.z,Q=u.members,I=u.offsets,d=g.edgeCount,h=g.a,E=g.b,f=g.edgeProps.flag,C=n.sizeFactor,d?(p=I_(0,{linkCount:2*d,position:function(A,e,t){gA.set(A,c[h[t]],B[h[t]],l[h[t]]),gA.set(e,c[E[t]],B[E[t]],l[E[t]])},style:function(A){return 1},radius:function(A){a.element=e.elements[Q[I[h[A]]]];var t=r.size.size(a);a.element=e.elements[Q[I[E[A]]]];var n=r.size.size(a);return Math.min(t,n)*C},ignore:function(A){return 1===f[A]||!!o&&!kn.has(o.elements,e.elements[Q[I[h[A]]]])}},n,i),m=Ss.expand(Ss(),(null!=o?o:e).boundary.sphere,1*C),p.setBoundingSphere(m),[2,p]):[2,Yv.createEmpty(i)])):[2,Yv.createEmpty(i)]}))}))}var f_=w(w(w({},hx),r_),{sizeFactor:ir.Numeric(.3,{min:0,max:10,step:.01}),dashCount:ir.Numeric(6,{min:2,max:10,step:2}),dashScale:ir.Numeric(.4,{min:0,max:2,step:.1}),includeParent:ir.Boolean(!1)});function C_(A){return Ex({defaultProps:ir.getDefaultValues(f_),createGeometry:E_,createLocationIterator:y_,getLoci:p_,eachLocation:m_,setUpdateState:function(A,e,t,r,n,i,o){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.dashCount!==t.dashCount||e.dashScale!==t.dashScale||e.dashCap!==t.dashCap||e.radialSegments!==t.radialSegments;var a=WY.get(i.structure).version;A.info.interactionsHash!==a&&(A.createGeometry=!0,A.updateTransform=!0,A.updateColor=!0,A.info.interactionsHash=a)}},A)}function p_(A,e,t){var r=A.objectId,n=A.instanceId,i=A.groupId;if(t===r){var o=e.structure,a=e.group,s=o.unitMap.get(a.units[n].id),u=WY.get(o).value,g=u.unitsContacts.get(s.id),c=g.a,B=g.b;return HY.Loci(o,u,[{unitA:s,indexA:c[i],unitB:s,indexB:B[i]},{unitA:s,indexA:B[i],unitB:s,indexB:c[i]}])}return PN}function m_(A,e,t,r){var n=!1;if(HY.isLoci(A)){var i=e.structure,o=e.group;if(!BI.areEquivalent(A.data.structure,i))return!1;var a=WY.get(i).value;if(A.data.interactions!==a)return!1;for(var s=o.units[0],u=2*(Q=a.unitsContacts.get(s.id)).edgeCount,g=0,c=A.elements;g<c.length;g++)if((v=c[g]).unitA===v.unitB){var B=o.unitIndexMap.get(v.unitA.id);if(void 0!==B){var l=Q.getDirectedEdgeIndex(v.indexA,v.indexB);-1!==l&&t(qr.ofSingleton(B*u+l))&&(n=!0)}}}else if(dI.is(A)){if(i=e.structure,o=e.group,!BI.areEquivalent(A.structure,i))return!1;if(!(a=WY.get(i).value))return!1;s=o.units[0];for(var Q=a.unitsContacts.get(s.id),I=a.unitsFeatures.get(s.id),d=2*Q.edgeCount,h=Q.offset,E=I.elementsIndex,f=E.offsets,C=E.indices,p=function(A){var e=o.unitIndexMap.get(A.unit.id);return void 0!==e||r&&1===Tn.size(A.indices)?"continue":void Tn.forEach(A.indices,(function(A){for(var r=f[A],i=f[A+1];r<i;++r)for(var o=C[r],a=h[o],s=h[o+1];a<s;++a)t(qr.ofSingleton(e*d+a))&&(n=!0)}))},m=0,y=A.elements;m<y.length;m++){var v;p(v=y[m])}}return n}function y_(A){var e=A.structure,t=A.group,r=t.units[0],n=WY.get(e).value,i=n.unitsContacts.get(r.id),o=2*i.edgeCount,a=t.units.length,s=HY.Location(n,e),u=s.element;return ur(o,a,1,(function(A,e){var r=t.units[e];return u.unitA=r,u.indexA=i.a[A],u.unitB=r,u.indexB=i.b[A],s}))}function v_(A,e,t,r,n){if(!e.hasAtomic)return Yv.createEmpty(n);var i=hc.create(e),o=WY.get(e).value,a=o.contacts,s=o.unitsFeatures,u=a.edgeCount,g=a.edges,c=r.sizeFactor;if(!u)return Yv.createEmpty(n);var B=e.child,l={linkCount:u,position:function(A,t,r){var n=g[r],i=n.unitA,o=n.indexA,a=n.unitB,u=n.indexB,c=s.get(i),B=s.get(a),l=e.unitMap.get(i),Q=e.unitMap.get(a);gA.set(A,c.x[o],c.y[o],c.z[o]),gA.transformMat4(A,A,l.conformation.operator.matrix),gA.set(t,B.x[u],B.y[u],B.z[u]),gA.transformMat4(t,t,Q.conformation.operator.matrix)},style:function(A){return 1},radius:function(A){var r=g[A],n=s.get(r.unitA);i.unit=e.unitMap.get(r.unitA),i.element=i.unit.elements[n.members[n.offsets[r.indexA]]];var o=t.size.size(i),a=s.get(r.unitB);i.unit=e.unitMap.get(r.unitB),i.element=i.unit.elements[a.members[a.offsets[r.indexB]]];var u=t.size.size(i);return Math.min(o,u)*c},ignore:function(A){if(1===g[A].props.flag)return!0;if(B){var t=g[A],r=B.unitMap.get(t.unitA);if(!r)return!0;var n=e.unitMap.get(t.unitA),i=s.get(t.unitA),o=n.elements[i.members[i.offsets[t.indexA]]];if(!kn.has(r.elements,o))return!0}return!1}},Q=I_(0,l,r,n),I=Ss.expand(Ss(),(null!=B?B:e).boundary.sphere,1*c);return Q.setBoundingSphere(I),Q}var D_=w(w(w({},sx),r_),{sizeFactor:ir.Numeric(.3,{min:0,max:10,step:.01}),dashCount:ir.Numeric(6,{min:2,max:10,step:2}),dashScale:ir.Numeric(.4,{min:0,max:2,step:.1}),includeParent:ir.Boolean(!1)});function b_(A){return ux({defaultProps:ir.getDefaultValues(D_),createGeometry:v_,createLocationIterator:U_,getLoci:w_,eachLocation:F_,setUpdateState:function(A,e,t,r,n,i,o){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.dashCount!==t.dashCount||e.dashScale!==t.dashScale||e.dashCap!==t.dashCap||e.radialSegments!==t.radialSegments;var a=WY.get(i).version;A.info.interactionsHash!==a&&(A.createGeometry=!0,A.updateTransform=!0,A.updateColor=!0,A.info.interactionsHash=a)}},A)}function w_(A,e,t){var r=A.objectId,n=A.groupId;if(t===r){var i=WY.get(e).value,o=i.contacts.edges[n],a=e.unitMap.get(o.unitA),s=e.unitMap.get(o.unitB);return HY.Loci(e,i,[{unitA:a,indexA:o.indexA,unitB:s,indexB:o.indexB},{unitA:s,indexA:o.indexB,unitB:a,indexB:o.indexA}])}return PN}function F_(A,e,t,r){var n,i=!1;if(HY.isLoci(A)){if(!BI.areEquivalent(A.data.structure,e))return!1;var o=WY.get(e).value;if(A.data.interactions!==o)return!1;for(var a=o.contacts,s=0,u=A.elements;s<u.length;s++){var g=u[s],c=a.getEdgeIndex(g.indexA,g.unitA.id,g.indexB,g.unitB.id);-1!==c&&t(qr.ofSingleton(c))&&(i=!0)}}else if(dI.is(A)){if(!BI.areEquivalent(A.structure,e))return!1;if(r&&1===A.elements.length)return!1;var B=null===(n=WY.get(e).value)||void 0===n?void 0:n.contacts;if(!B)return!1;for(var l=function(A){var e=A.unit;return TB.isAtomic(e)?r&&1===Tn.size(A.indices)?"continue":void Tn.forEach(A.indices,(function(A){for(var r=0,n=B.getContactIndicesForElement(A,e);r<n.length;r++){var o=n[r];t(qr.ofSingleton(o))&&(i=!0)}})):"continue"},Q=0,I=A.elements;Q<I.length;Q++)l(I[Q])}return i}function U_(A){var e=WY.get(A).value,t=e.contacts,r=t.edgeCount,n=HY.Location(e,A),i=n.element;return ur(r,1,1,(function(e){var r=t.edges[e];return i.unitA=A.unitMap.get(r.unitA),i.indexA=r.indexA,i.unitB=A.unitMap.get(r.unitB),i.indexB=r.indexB,n}),!0)}var S_={"intra-unit":function(A,e){return Ix("Intra-unit interactions cylinder",A,e,C_)},"inter-unit":function(A,e){return RL("Inter-unit interactions 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a=A[i];gA.directionFromSpherical(JV,eA(a.inclination),eA(a.azimuth),1),gA.toArray(JV,r,3*i),gA.scale(OV,SA.toVec3Normalized(OV,a.color),a.intensity),gA.toArray(OV,n,3*i)}return{count:A.length,direction:r,color:n}}var jV,zV=QA();function qV(A,e){for(var t=(null==e?void 0:e.objects)||{type:new Array(5).fill(1),invert:new Array(5).fill(!1),position:new Array(15).fill(0),rotation:new Array(20).fill(0),scale:new Array(15).fill(1)},r=t.type,n=t.invert,i=t.position,o=t.rotation,a=t.scale,s=0,u=A.objects.length;s<u;++s){var g=A.objects[s];r[s]=CR.Type[g.type],n[s]=g.invert,gA.toArray(g.position,i,3*s),QA.toArray(QA.setAxisAngle(zV,g.rotation.axis,eA(g.rotation.angle)),o,4*s),gA.toArray(g.scale,a,3*s)}return{variant:A.variant,objects:{count:A.objects.length,type:r,invert:n,position:i,rotation:o,scale:a}}}function ZV(A,e,t){return void 0===e&&(e=""),void 0===t&&(t=""),ZV.create(A,e,t)}!function(A){A.create=function(A,e){void 0===e&&(e={});var t=A.gl,r=A.state,n=A.stats,i=A.extensions.fragDepth,o=ir.merge(PV,ir.getDefaultValues(PV),e),a=KV(o.light),s=qV(o.clip),u=_V(),g=BA.create(t.drawingBufferWidth,t.drawingBufferHeight),c=SA.toVec3Normalized(gA(),o.backgroundColor),B=!1,l=Jm(t),Q=[["tDepth",l]],I=nA(),d=nA(),h=nA(),E=nA(),f=nA(),C=nA(),p=nA(),m=gA(),y=BA(),v=gA();gA.scale(v,SA.toArrayNormalized(o.ambientColor,v,0),o.ambientIntensity);var D={uModel:Y.create(nA.identity()),uView:Y.create(I),uInvView:Y.create(d),uModelView:Y.create(h),uInvModelView:Y.create(E),uInvProjection:Y.create(f),uProjection:Y.create(nA()),uModelViewProjection:Y.create(C),uInvModelViewProjection:Y.create(p),uIsOrtho:Y.create(1),uViewOffset:Y.create(y),uPixelRatio:Y.create(A.pixelRatio),uViewport:Y.create(_V.toVec4(lA(),u)),uDrawingBufferSize:Y.create(g),uCameraPosition:Y.create(gA()),uCameraDir:Y.create(m),uNear:Y.create(1),uFar:Y.create(1e4),uFogNear:Y.create(1),uFogFar:Y.create(1e4),uFogColor:Y.create(c),uRenderWboit:Y.create(!1),uMarkingDepthTest:Y.create(!1),uTransparentBackground:Y.create(!1),uClipObjectType:Y.create(s.objects.type),uClipObjectInvert:Y.create(s.objects.invert),uClipObjectPosition:Y.create(s.objects.position),uClipObjectRotation:Y.create(s.objects.rotation),uClipObjectScale:Y.create(s.objects.scale),uLightDirection:Y.create(a.direction),uLightColor:Y.create(a.color),uAmbientColor:Y.create(v),uPickingAlphaThreshold:Y.create(o.pickingAlphaThreshold),uInteriorDarkening:Y.create(o.interiorDarkening),uInteriorColorFlag:Y.create(o.interiorColorFlag),uInteriorColor:Y.create(SA.toVec3Normalized(gA(),o.interiorColor)),uHighlightColor:Y.create(SA.toVec3Normalized(gA(),o.highlightColor)),uSelectColor:Y.create(SA.toVec3Normalized(gA(),o.selectColor)),uHighlightStrength:Y.create(o.highlightStrength),uSelectStrength:Y.create(o.selectStrength),uMarkerPriority:Y.create(o.markerPriority),uXrayEdgeFalloff:Y.create(o.xrayEdgeFalloff)},b=Object.entries(D),w=!0,F=function(A,e){if(!A.state.disposed&&A.state.visible&&(A.state.pickable||"p"!==e[0])){var n=!1;A.state.noClip?0!==A.values.dClipObjectCount.ref.value&&(Y.update(A.values.dClipObjectCount,0),n=!0):(A.values.dClipObjectCount.ref.value!==s.objects.count&&(Y.update(A.values.dClipObjectCount,s.objects.count),n=!0),A.values.dClipVariant.ref.value!==s.variant&&(Y.update(A.values.dClipVariant,s.variant),n=!0)),A.values.dLightCount.ref.value!==a.count&&(Y.update(A.values.dLightCount,a.count),n=!0),n&&A.update();var o=A.getProgram(e);if(r.currentProgramId!==o.id&&(w=!0,o.use()),w&&(o.setUniforms(b),w=!1),A.values.dRenderMode){if(("p"===e[0]||"depth"===e)&&"volume"===A.values.dRenderMode.ref.value)return;r.disable(t.CULL_FACE),r.frontFace(t.CCW),"colorBlended"===e&&("volume"!==A.values.dRenderMode.ref.value&&i?(r.enable(t.DEPTH_TEST),r.depthMask(1===A.values.uAlpha.ref.value)):(r.disable(t.DEPTH_TEST),r.depthMask(!1)))}else A.values.dDoubleSided?A.values.dDoubleSided.ref.value||A.values.hasReflection.ref.value?r.disable(t.CULL_FACE):r.enable(t.CULL_FACE):r.disable(t.CULL_FACE),A.values.dFlipSided&&A.values.dFlipSided.ref.value?(r.frontFace(t.CW),r.cullFace(t.FRONT)):(r.frontFace(t.CCW),r.cullFace(t.BACK));A.render(e,Q)}},U=function(A,e,n,i,o){!function(A,e,t){for(var r=0,n=A.length;r<n;++r)if(A[r][0]===e)return void(A[r][1]=t);A.push([e,t])}(Q,"tDepth",n||l),Y.update(D.uModel,A.view),Y.update(D.uModelView,nA.mul(h,A.view,e.view)),Y.update(D.uInvModelView,nA.invert(E,h)),Y.update(D.uModelViewProjection,nA.mul(C,h,e.projection)),Y.update(D.uInvModelViewProjection,nA.invert(p,C)),Y.updateIfChanged(D.uRenderWboit,i),Y.updateIfChanged(D.uMarkingDepthTest,o),r.enable(t.SCISSOR_TEST),r.colorMask(!0,!0,!0,!0);var a=u.x,s=u.y,g=u.width,c=u.height;t.viewport(a,s,g,c),t.scissor(a,s,g,c),w=!0,r.currentRenderItemId=-1},S=function(A,e,n){r.disable(t.BLEND),r.enable(t.DEPTH_TEST),r.depthMask(!0),U(A,e,n,!1,!1);for(var 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s;(s=i[o]).state.opaque||s.state.writeDepth||F(s,"colorBlended")}};return{clear:function(A){r.enable(t.SCISSOR_TEST),r.enable(t.DEPTH_TEST),r.colorMask(!0,!0,!0,!0),r.depthMask(!0),B?r.clearColor(0,0,0,0):A?r.clearColor(c[0],c[1],c[2],1):r.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)},clearDepth:function(){r.enable(t.SCISSOR_TEST),r.enable(t.DEPTH_TEST),r.depthMask(!0),t.clear(t.DEPTH_BUFFER_BIT)},update:function(A){Y.update(D.uView,A.view),Y.update(D.uInvView,nA.invert(d,A.view)),Y.update(D.uProjection,A.projection),Y.update(D.uInvProjection,nA.invert(f,A.projection)),Y.updateIfChanged(D.uIsOrtho,"orthographic"===A.state.mode?1:0),Y.update(D.uViewOffset,A.viewOffset.enabled?BA.set(y,16*A.viewOffset.offsetX,16*A.viewOffset.offsetY):BA.set(y,0,0)),Y.update(D.uCameraPosition,A.state.position),Y.update(D.uCameraDir,gA.normalize(m,gA.sub(m,A.state.target,A.state.position))),Y.updateIfChanged(D.uFar,A.far),Y.updateIfChanged(D.uNear,A.near),Y.updateIfChanged(D.uFogFar,A.fogFar),Y.updateIfChanged(D.uFogNear,A.fogNear),Y.updateIfChanged(D.uTransparentBackground,B)},renderPick:function(A,e,n,i){r.disable(t.BLEND),r.enable(t.DEPTH_TEST),r.depthMask(!0),U(A,e,i,!1,!1);for(var o=A.renderables,a=0,s=o.length;a<s;++a)o[a].state.colorOnly||F(o[a],n)},renderDepth:function(A,e,n){r.disable(t.BLEND),r.enable(t.DEPTH_TEST),r.depthMask(!0),U(A,e,n,!1,!1);for(var i=A.renderables,o=0,a=i.length;o<a;++o)F(i[o],"depth")},renderMarkingDepth:function(A,e,n){r.disable(t.BLEND),r.enable(t.DEPTH_TEST),r.depthMask(!0),U(A,e,n,!1,!1);for(var i=A.renderables,o=0,a=i.length;o<a;++o)1!==i[o].values.markerAverage.ref.value&&F(i[o],"markingDepth")},renderMarkingMask:function(A,e,n){r.disable(t.BLEND),r.enable(t.DEPTH_TEST),r.depthMask(!0),U(A,e,n,!1,!!n);for(var i=A.renderables,o=0,a=i.length;o<a;++o)i[o].values.markerAverage.ref.value>0&&F(i[o],"markingMask")},renderBlended:function(A,e,t){S(A,e,t),N(A,e,t)},renderBlendedOpaque:S,renderBlendedTransparent:N,renderBlendedVolumeOpaque:function(A,e,n){var i;r.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),r.enable(t.BLEND),U(A,e,n,!1,!1);for(var o=A.renderables,a=0,s=o.length;a<s;++a){var u=o[a];1!==iA(u.values.alpha.ref.value*u.state.alphaFactor,0,1)||1===u.values.transparencyAverage.ref.value||(null===(i=u.values.dXrayShaded)||void 0===i?void 0:i.ref.value)||F(u,"colorBlended")}},renderBlendedVolumeTransparent:function(A,e,n){var i;r.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),r.enable(t.BLEND),U(A,e,n,!1,!1);for(var o=A.renderables,a=0,s=o.length;a<s;++a){var u=o[a];(iA(u.values.alpha.ref.value*u.state.alphaFactor,0,1)<1||u.values.transparencyAverage.ref.value>0||(null===(i=u.values.dXrayShaded)||void 0===i?void 0:i.ref.value))&&F(u,"colorBlended")}},renderWboitOpaque:function(A,e,n){var i,o,a;r.disable(t.BLEND),r.enable(t.DEPTH_TEST),r.depthMask(!0),U(A,e,n,!1,!1);for(var s=A.renderables,u=0,g=s.length;u<g;++u){var c=s[u];1!==iA(c.values.alpha.ref.value*c.state.alphaFactor,0,1)||1===c.values.transparencyAverage.ref.value||"volume"===(null===(i=c.values.dRenderMode)||void 0===i?void 0:i.ref.value)||"fuzzy"===(null===(o=c.values.dPointStyle)||void 0===o?void 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0!==A.pickingAlphaThreshold&&A.pickingAlphaThreshold!==o.pickingAlphaThreshold&&(o.pickingAlphaThreshold=A.pickingAlphaThreshold,Y.update(D.uPickingAlphaThreshold,o.pickingAlphaThreshold)),void 0!==A.interiorDarkening&&A.interiorDarkening!==o.interiorDarkening&&(o.interiorDarkening=A.interiorDarkening,Y.update(D.uInteriorDarkening,o.interiorDarkening)),void 0!==A.interiorColorFlag&&A.interiorColorFlag!==o.interiorColorFlag&&(o.interiorColorFlag=A.interiorColorFlag,Y.update(D.uInteriorColorFlag,o.interiorColorFlag)),void 0!==A.interiorColor&&A.interiorColor!==o.interiorColor&&(o.interiorColor=A.interiorColor,Y.update(D.uInteriorColor,SA.toVec3Normalized(D.uInteriorColor.ref.value,o.interiorColor))),void 0!==A.highlightColor&&A.highlightColor!==o.highlightColor&&(o.highlightColor=A.highlightColor,Y.update(D.uHighlightColor,SA.toVec3Normalized(D.uHighlightColor.ref.value,o.highlightColor))),void 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0!==A.ambientColor&&A.ambientColor!==o.ambientColor&&(o.ambientColor=A.ambientColor,gA.scale(v,SA.toArrayNormalized(o.ambientColor,v,0),o.ambientIntensity),Y.update(D.uAmbientColor,v)),void 0!==A.ambientIntensity&&A.ambientIntensity!==o.ambientIntensity&&(o.ambientIntensity=A.ambientIntensity,gA.scale(v,SA.toArrayNormalized(o.ambientColor,v,0),o.ambientIntensity),Y.update(D.uAmbientColor,v)),void 0===A.clip||J(A.clip,o.clip)||(o.clip=A.clip,Object.assign(s,qV(A.clip,s)),Y.update(D.uClipObjectPosition,s.objects.position),Y.update(D.uClipObjectRotation,s.objects.rotation),Y.update(D.uClipObjectScale,s.objects.scale),Y.update(D.uClipObjectType,s.objects.type))},setViewport:function(A,e,r,n){t.viewport(A,e,r,n),t.scissor(A,e,r,n),A===u.x&&e===u.y&&r===u.width&&n===u.height||(_V.set(u,A,e,r,n),Y.update(D.uViewport,lA.set(D.uViewport.ref.value,A,e,r,n)))},setTransparentBackground:function(A){B=A},setDrawingBufferSize:function(A,e){A===g[0]&&e===g[1]||Y.update(D.uDrawingBufferSize,BA.set(g,A,e))},setPixelRatio:function(A){Y.update(D.uPixelRatio,A)},props:o,get stats(){return{programCount:A.stats.resourceCounts.program,shaderCount:A.stats.resourceCounts.shader,attributeCount:A.stats.resourceCounts.attribute,elementsCount:A.stats.resourceCounts.elements,framebufferCount:A.stats.resourceCounts.framebuffer,renderbufferCount:A.stats.resourceCounts.renderbuffer,textureCount:A.stats.resourceCounts.texture,vertexArrayCount:A.stats.resourceCounts.vertexArray,drawCount:n.drawCount,instanceCount:n.instanceCount,instancedDrawCount:n.instancedDrawCount}},dispose:function(){}}}}(jV||(jV={})),function(A){function e(A){return A.triggers.map(t.format).join(" or ")}function t(A,e){return t.create(A,e)}A.create=function(A,e,t){return void 0===e&&(e=""),void 0===t&&(t=""),{triggers:A,action:e,description:t}},A.Empty={triggers:[],action:"",description:""},A.isEmpty=function(A){return 0===A.triggers.length||A.triggers.every((function(A){return void 0===A.buttons&&void 0===A.modifiers}))},A.match=function(A,e,r){return A.triggers.some((function(A){return t.match(A,e,r)}))},A.formatTriggers=e,A.format=function(A,t){return void 0===t&&(t=""),function(A,e){var t=Object.keys(e),r=Object.values(e);return(new(Function.bind.apply(Function,S(S([void 0],t,!1),["return `".concat(A,"`;")],!1)))).apply(void 0,r)}(A.description||DA(t),{triggers:"<i>"+e(A)+"</i>"})},A.Trigger=t,function(A){A.create=function(A,e){return{buttons:A,modifiers:e}},A.Empty={},A.match=function(A,e,t){var r=A.buttons,n=A.modifiers;return void 0!==r&&(r===e||MV.has(r,e))&&(!n||GV.areEqual(n,t))},A.format=function(A){var e=[],t=function(A){var e=[];return void 0===A?e.push("any mouse button"):0===A?e.push("mouse hover"):($V.has(A,1)&&e.push("left mouse button"),$V.has(A,2)&&e.push("right mouse button"),$V.has(A,4)&&e.push("wheel/middle mouse button"),$V.has(A,8)&&e.push("three fingers")),e.join(" + ")}(A.buttons);t&&e.push(t);var r=function(A,e){var t=[];return A&&(A.alt&&t.push("alt key"),A.control&&t.push("control key"),A.meta&&t.push("meta/command 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the 3D scene around the x-axis in view space"}),spinSpeed:ir.Numeric(1,{min:-20,max:20,step:1}),staticMoving:ir.Boolean(!0,{isHidden:!0}),dynamicDampingFactor:ir.Numeric(.2,{},{isHidden:!0}),minDistance:ir.Numeric(.01,{},{isHidden:!0}),maxDistance:ir.Numeric(1e150,{},{isHidden:!0}),gestureScaleFactor:ir.Numeric(1,{},{isHidden:!0}),maxWheelDelta:ir.Numeric(.02,{},{isHidden:!0}),bindings:ir.Value(tT,{isHidden:!0}),autoAdjustMinMaxDistance:ir.MappedStatic("on",{off:ir.EmptyGroup(),on:ir.Group({minDistanceFactor:ir.Numeric(0),minDistancePadding:ir.Numeric(5),maxDistanceFactor:ir.Numeric(10),maxDistanceMin:ir.Numeric(20)})},{isHidden:!0})};!function(A){A.create=function(A,e,t){void 0===t&&(t={});var r=w(w({},ir.getDefaultValues(rT)),t),n=_V.clone(e.viewport),i=!1,o=A.drag.subscribe((function(A){var t=A.x,i=A.y,o=A.pageX,a=A.pageY,s=A.buttons,u=A.modifiers,g=A.isStart,B=P(t,i);if((!g||!B)&&(g||c)){c=!0;var l=ZV.match(r.bindings.dragRotate,s,u),d=ZV.match(r.bindings.dragRotateZ,s,u),h=ZV.match(r.bindings.dragPan,s,u),C=ZV.match(r.bindings.dragZoom,s,u),w=ZV.match(r.bindings.dragFocus,s,u),F=ZV.match(r.bindings.dragFocusZoom,s,u);if(function(A,e){BA.set(R,(A-.5*n.width-n.x)/(.5*n.width),(n.height+2*(n.y-e))/n.width)}(o,a),function(A,e){BA.set(N,(A-n.x)/n.width,(e-n.y)/n.height)}(o,a),g&&(l&&(BA.copy(I,R),BA.copy(Q,I)),d&&(BA.copy(f,R),BA.copy(E,f)),(C||F)&&(BA.copy(p,N),BA.copy(m,p)),w&&(BA.copy(y,N),BA.copy(v,y)),h&&(BA.copy(D,N),BA.copy(b,D))),l&&BA.copy(I,R),d&&BA.copy(f,R),(C||F)&&BA.copy(m,N),w&&BA.copy(v,N),F){var U=gA.distance(e.state.position,e.state.target);e.setState({radius:U/5})}h&&BA.copy(b,N)}})),a=A.interactionEnd.subscribe((function(){c=!1})),s=A.wheel.subscribe((function(A){var e=A.x,t=A.y,n=A.spinX,i=A.spinY,o=A.dz,a=A.buttons,s=A.modifiers;if(!P(e,t)){var u=function(){for(var A=[],e=0;e<arguments.length;e++)A[e]=arguments[e];for(var t=0,r=0,n=0,i=A.length;n<i;++n){var o=A[n],a=Math.abs(o);a>r&&(t=o,r=a)}return t}(.075*n,.075*i,1e-4*o);u<-r.maxWheelDelta?u=-r.maxWheelDelta:u>r.maxWheelDelta&&(u=r.maxWheelDelta),ZV.match(r.bindings.scrollZoom,a,s)&&(m[1]+=u),ZV.match(r.bindings.scrollFocus,a,s)&&(v[1]+=u)}})),u=A.pinch.subscribe((function(A){var e=A.fractionDelta,t=A.buttons,n=A.modifiers;ZV.match(r.bindings.scrollZoom,t,n)&&(c=!0,m[1]+=r.gestureScaleFactor*e)})),g=A.gesture.subscribe((function(A){var e=A.deltaScale;c=!0,m[1]+=r.gestureScaleFactor*e})),c=!1,B=gA(),l=gA(),Q=BA(),I=BA(),d=gA(),h=0,E=BA(),f=BA(),C=0,p=BA(),m=BA(),y=BA(),v=BA(),D=BA(),b=BA(),F=gA.clone(e.target),U=gA.clone(e.position),S=gA.clone(e.up),N=BA(),R=BA(),H=gA(),G=QA(),M=gA(),L=gA(),x=gA(),k=gA(),Y=QA(),_=BA(),V=gA(),T=gA();function P(e,t){return e*=A.pixelRatio,t*=A.pixelRatio,e>n.x+n.width||A.height-t>n.y+n.height||e<n.x||A.height-t<n.y}var J=-1;function O(t){var n,i,o,a,s;J!==t&&(r.spin&&J>0&&function(A){if(0!==r.spinSpeed){var e=(r.spinSpeed||0)/1e3;K[0]=60*Math.min(Math.abs(A),125)/1e3*e,c||BA.add(I,Q,K)}}(t-J),gA.sub(l,e.position,e.target),function(){var t=I[0]-Q[0],n=I[1]-Q[1];gA.set(k,t,n,0);var i=A.width/A.height,o=gA.magnitude(k)*r.rotateSpeed*A.pixelRatio*i;o?(gA.sub(l,e.position,e.target),gA.normalize(M,l),gA.normalize(L,e.up),gA.normalize(x,gA.cross(x,L,M)),gA.setMagnitude(L,L,n),gA.setMagnitude(x,x,t),gA.add(k,L,x),gA.normalize(H,gA.cross(H,k,l)),QA.setAxisAngle(G,H,o),gA.transformQuat(l,l,G),gA.transformQuat(e.up,e.up,G),gA.copy(d,H),h=o):!r.staticMoving&&h&&(h*=Math.sqrt(1-r.dynamicDampingFactor),gA.sub(l,e.position,e.target),QA.setAxisAngle(G,d,h),gA.transformQuat(l,l,G),gA.transformQuat(e.up,e.up,G)),BA.copy(Q,I)}(),n=f[0]-E[0],i=f[1]-E[1],(o=r.rotateSpeed*(-n+i)*-.05)?(gA.sub(l,e.position,e.target),QA.setAxisAngle(Y,l,o),gA.transformQuat(e.up,e.up,Y),C=o):!r.staticMoving&&C&&(C*=Math.sqrt(1-r.dynamicDampingFactor),gA.sub(l,e.position,e.target),QA.setAxisAngle(Y,l,C),gA.transformQuat(e.up,e.up,Y)),BA.copy(E,f),1!=(a=1+(m[1]-p[1])*r.zoomSpeed)&&a>0&&gA.scale(l,l,a),r.staticMoving?BA.copy(p,m):p[1]+=(m[1]-p[1])*r.dynamicDampingFactor,function(){var A=(v[1]-y[1])*r.zoomSpeed;if(0!==A){var t=Math.max(1,e.state.radius+e.state.radius*A);e.setState({radius:t})}r.staticMoving?BA.copy(y,v):y[1]+=(v[1]-y[1])*r.dynamicDampingFactor}(),function(){if(BA.sub(_,BA.copy(_,b),D),BA.squaredMagnitude(_)){var t=A.pixelRatio*r.panSpeed;_[0]*=1/e.zoom*e.viewport.width*t,_[1]*=1/e.zoom*e.viewport.height*t,gA.cross(T,gA.copy(T,l),e.up),gA.setMagnitude(T,T,_[0]),gA.setMagnitude(V,e.up,_[1]),gA.add(T,T,V),gA.add(e.position,e.position,T),gA.add(e.target,e.target,T),r.staticMoving?BA.copy(D,b):(BA.sub(_,b,D),BA.scale(_,_,r.dynamicDampingFactor),BA.add(D,D,_))}}(),gA.add(e.position,e.target,l),s=Math.min(Math.max(1e3*e.state.radiusMax,.01),r.maxDistance),gA.squaredMagnitude(l)>s*s&&(gA.setMagnitude(l,l,s),gA.add(e.position,e.target,l),BA.copy(p,m),BA.copy(y,v)),gA.squaredMagnitude(l)<r.minDistance*r.minDistance&&(gA.setMagnitude(l,l,r.minDistance),gA.add(e.position,e.target,l),BA.copy(p,m),BA.copy(y,v)),gA.squaredDistance(B,e.position)>Z&&gA.copy(B,e.position),J=t)}var K=BA.create(.005,0);return{viewport:n,get props(){return r},setProps:function(A){Object.assign(r,A)},start:function(A){J=-1,O(A)},update:O,reset:function(){gA.copy(e.target,F),gA.copy(e.position,U),gA.copy(e.up,S),gA.sub(l,e.position,e.target),gA.copy(B,e.position)},dispose:function(){i||(i=!0,o.unsubscribe(),s.unsubscribe(),u.unsubscribe(),g.unsubscribe(),a.unsubscribe())}}}}(WV||(WV={})),function(A){A.create=function(){return{view:nA.identity(),position:gA.create(0,0,0),direction:gA.create(0,0,-1),up:gA.create(0,1,0)}};var e=gA.zero();A.update=function(A){gA.add(e,A.position,A.direction),nA.lookAt(A.view,A.position,e,A.up)}}(XV||(XV={}));var nT,iT=function(){function A(){this.removeList=Kg(),this.removeMap=new Map,this.addList=Kg(),this.addMap=new Map}return Object.defineProperty(A.prototype,"isEmpty",{get:function(){return 0===this.removeList.count&&0===this.addList.count},enumerable:!1,configurable:!0}),A.prototype.add=function(A){if(this.removeMap.has(A)){var e=this.removeMap.get(A);this.removeMap.delete(A),this.removeList.remove(e)}if(!this.addMap.has(A)){var t=this.addList.addLast(A);this.addMap.set(A,t)}},A.prototype.remove=function(A){if(this.addMap.has(A)){var e=this.addMap.get(A);this.addMap.delete(A),this.addList.remove(e)}if(!this.removeMap.has(A)){var t=this.removeList.addLast(A);this.removeMap.set(A,t)}},A.prototype.tryGetRemove=function(){var A=this.removeList.removeFirst();return A&&this.removeMap.delete(A),A},A.prototype.tryGetAdd=function(){var A=this.addList.removeFirst();return A&&this.addMap.delete(A),A},A}(),oT=new SB("98");function aT(A,e,t){oT.reset();for(var r=0,n=A.length;r<n;++r)if(!t||A[r].state.visible){var i=A[r].values.boundingSphere.ref.value;i.radius&&oT.includeSphere(i)}for(oT.finishedIncludeStep(),r=0,n=A.length;r<n;++r)if(!t||A[r].state.visible){var o=A[r].values.boundingSphere.ref.value;o.radius&&oT.radiusSphere(o)}return oT.getSphere(e)}function sT(A,e){var t=A.getProgram("colorBlended").id,r=e.getProgram("colorBlended").id,n=A.materialId,i=e.materialId;return t!==r?t-r:n!==i?n-i:A.id-e.id}!function(A){A.create=function(A){var e=new Map,t=[],r=Ss(),n=Ss(),i=[],o=[],a=!0,s=!0,u=XV.create(),g=u.view,c=u.position,B=u.direction,l=u.up;function Q(r){if(e.has(r))return console.warn("RenderObject with id '".concat(r.id,"' already present")),e.get(r);var n=function(A,e){switch(e.type){case"mesh":return function(A,e,t,r,n){var i=w(w(w(w({},iv),ov),av),ub),o={uObjectId:Y.create(e)};return Dv(pv(A,"triangles",Kp,i,w(w({},t),o),n),t,r)}(A,e.id,e.values,e.state,e.materialId);case"points":return function(A,e,t,r,n){var i=w(w(w(w({},iv),ov),av),gb),o={uObjectId:Y.create(e)};return Dv(pv(A,"points",Vp,i,w(w({},t),o),n),t,r)}(A,e.id,e.values,e.state,e.materialId);case"spheres":return function(A,e,t,r,n){var i=w(w(w(w({},iv),ov),av),Bb),o={uObjectId:Y.create(e)};return Dv(pv(A,"triangles",Tp,i,w(w({},t),o),n),t,r)}(A,e.id,e.values,e.state,e.materialId);case"cylinders":return function(A,e,t,r,n){var i=w(w(w(w({},iv),ov),av),db),o={uObjectId:Y.create(e)};return Dv(pv(A,"triangles",Pp,i,w(w({},t),o),n),t,r)}(A,e.id,e.values,e.state,e.materialId);case"text":return function(A,e,t,r,n){var i=w(w(w(w({},iv),ov),av),lb),o={uObjectId:Y.create(e)};return Dv(pv(A,"triangles",Jp,i,w(w({},t),o),n),t,r)}(A,e.id,e.values,e.state,e.materialId);case"lines":return function(A,e,t,r,n){var i=w(w(w(w({},iv),ov),av),cb),o={uObjectId:Y.create(e)};return Dv(pv(A,"triangles",Op,i,w(w({},t),o),n),t,r)}(A,e.id,e.values,e.state,e.materialId);case"direct-volume":return function(A,e,t,r,n){var i=w(w(w(w({},iv),ov),av),sb);A.isWebGL2||(i.uMaxSteps=rv("number"));var o={uObjectId:Y.create(e)};return Dv(pv(A,"triangles",jp,i,w(w({},t),o),n),t,r)}(A,e.id,e.values,e.state,e.materialId);case"image":return function(A,e,t,r,n){var i=w(w(w(w({},iv),ov),av),Ib),o={uObjectId:Y.create(e)};return Dv(pv(A,"triangles",zp,i,w(w({},t),o),n),t,r)}(A,e.id,e.values,e.state,e.materialId);case"texture-mesh":return function(A,e,t,r,n){var i=w(w(w(w({},iv),ov),av),Qb),o={uObjectId:Y.create(e)};return Dv(pv(A,"triangles",Kp,i,w(w({},t),o),n),t,r)}(A,e.id,e.values,e.state,e.materialId)}throw new Error("unsupported type")}(A,r);return t.push(n),"direct-volume"===r.type?o.push(n):i.push(n),e.set(r,n),a=!0,s=!0,n}function I(A){var r=e.get(A);r&&(r.dispose(),pr(t,r),pr(i,r),pr(o,r),e.delete(A),a=!0,s=!0)}var d=new iT,h=-1;function E(){for(var A=23,e=0,r=t.length;e<r;++e)t[e].state.visible&&(A=31*A+t[e].id|0);return-1===(A=te(A))&&(A=0),A}function f(){return E()!==h&&(s=!0,!0)}return{view:g,position:c,direction:B,up:l,renderables:t,primitives:{view:g,position:c,direction:B,up:l,renderables:i},volumes:{view:g,position:c,direction:B,up:l,renderables:o},syncVisibility:f,update:function(A,r){var n;if(XV.update(u),A)for(var i=0,o=A.length;i<o;++i)null===(n=e.get(A[i]))||void 0===n||n.update();else for(i=0,o=t.length;i<o;++i)t[i].update();r?f():(a=!0,s=!0)},add:function(A){return d.add(A)},remove:function(A){return d.remove(A)},commit:function(A){return void 0===A&&(A=Number.MAX_VALUE),function(A){for(var e=G(),r=0;n=d.tryGetRemove();)if(I(n),++r%100==0&&G()-e>A)return!1;for(;;){var n;if(!(n=d.tryGetAdd()))break;if(Q(n),++r%100==0&&G()-e>A)return!1}return t.sort(sT),!0}(A)},get needsCommit(){return!d.isEmpty},has:function(A){return e.has(A)},clear:function(){for(var A=0,r=t.length;A<r;++A)t[A].dispose();t.length=0,e.clear(),a=!0,s=!0},forEach:function(A){e.forEach(A)},get count(){return t.length},get boundingSphere(){return a&&(aT(t,r,!1),a=!1),r},get boundingSphereVisible(){return s&&(aT(t,n,!0),s=!1,h=E()),n}}}}(nT||(nT={}));var uT=function(){function A(e){this.camera=e,this.t=0,this.func=A.defaultTransition,this.start=0,this.inTransition=!1,this.durationMs=0,this._source=lT.createDefaultSnapshot(),this._target=lT.createDefaultSnapshot(),this._current=lT.createDefaultSnapshot()}return Object.defineProperty(A.prototype,"source",{get:function(){return this._source},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"target",{get:function(){return this._target},enumerable:!1,configurable:!0}),A.prototype.apply=function(e,t,r){void 0===t&&(t=0),(!this.inTransition||t>0)&&lT.copySnapshot(this._source,this.camera.state),this.inTransition||lT.copySnapshot(this._target,this.camera.state),lT.copySnapshot(this._target,e),this._target.radius>this._target.radiusMax&&(this._target.radius=this._target.radiusMax),this._target.radius<.01&&(this._target.radius=.01),this._target.radiusMax<.01&&(this._target.radiusMax=.01),!this.inTransition&&t<=0||void 0!==e.mode&&e.mode!==this.camera.state.mode?this.finish(this._target):(this.inTransition=!0,this.func=r||A.defaultTransition,(!this.inTransition||t>0)&&(this.start=this.t,this.durationMs=t))},A.prototype.tick=function(A){this.t=A,this.update()},A.prototype.finish=function(A){lT.copySnapshot(this.camera.state,A),this.inTransition=!1},A.prototype.update=function(){if(this.inTransition){var A=Math.min((this.t-this.start)/this.durationMs,1);1!==A?(this.func(this._current,A,this._source,this._target),lT.copySnapshot(this.camera.state,this._current)):this.finish(this._target)}},A}();!function(A){var e=QA.identity();A.defaultTransition=function(A,t,r,n){lT.copySnapshot(A,n),QA.slerp(e,QA.Identity,QA.rotationTo(e,r.up,n.up),t),gA.transformQuat(A.up,r.up,e),gA.lerp(A.target,r.target,n.target,t),gA.lerp(A.position,r.position,n.position,t),A.radius=oA(r.radius,n.radius,t),A.radiusMax=oA(r.radiusMax,n.radiusMax,t),A.fov=oA(r.fov,n.fov,t),A.fog=oA(r.fog,n.fog,t)}}(uT||(uT={}));var gT=gA(),cT=gA(),BT=lA(),lT=function(){function A(e,t,r){void 0===t&&(t=_V.create(0,0,128,128)),void 0===r&&(r={}),this.view=nA.identity(),this.projection=nA.identity(),this.projectionView=nA.identity(),this.inverseProjectionView=nA.identity(),this.state=A.createDefaultSnapshot(),this.viewOffset=A.ViewOffset(),this.near=1,this.far=1e4,this.fogNear=5e3,this.fogFar=1e4,this.zoom=1,this.transition=new uT(this),this.stateChanged=new Rh(this.state),this.prevProjection=nA.identity(),this.prevView=nA.identity(),this.deltaDirection=gA(),this.newPosition=gA(),this.viewport=t,this.pixelScale=r.pixelScale||1,A.copySnapshot(this.state,e)}return Object.defineProperty(A.prototype,"pixelRatio",{get:function(){return("undefined"!=typeof window?window.devicePixelRatio:1)*this.pixelScale},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"position",{get:function(){return this.state.position},set:function(A){gA.copy(this.state.position,A)},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"up",{get:function(){return this.state.up},set:function(A){gA.copy(this.state.up,A)},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"target",{get:function(){return this.state.target},set:function(A){gA.copy(this.state.target,A)},enumerable:!1,configurable:!0}),A.prototype.update=function(){var A=this.state;if(0===A.radiusMax)return!1;var e=2*Math.tan(A.fov/2)*gA.distance(A.position,A.target);switch(this.zoom=this.viewport.height/e,function(A){var e=A.state,t=e.radius,r=e.radiusMax,n=(e.mode,e.fog);t<.01&&(t=.01);var i=e.clipFar?t:r,o=gA.distance(A.position,A.target),a=o-t,s=o+i,u=o-i*(-(50-n)/50),g=s;(a=Math.max(Math.min(r,5),a))===(s=Math.max(5,s))&&(s=a+.01),A.near=a,A.far=2*s,A.fogNear=u,A.fogFar=g}(this),this.state.mode){case"orthographic":!function(A){var e=A.viewport,t=A.zoom,r=A.near,n=A.far,i=A.viewOffset,o=-e.width/2,a=e.width/2,s=e.height/2,u=-e.height/2,g=(a-o)/(2*t),c=(s-u)/(2*t),B=(a+o)/2,l=(s+u)/2,Q=B-g,I=B+g,d=l+c,h=l-c;if(i.enabled){var E=t/(i.width/i.fullWidth),f=t/(i.height/i.fullHeight),C=(a-o)/i.width,p=(s-u)/i.height;I=(Q+=C*(i.offsetX/E))+C*(i.width/E),h=(d-=p*(i.offsetY/f))-p*(i.height/f)}nA.ortho(A.projection,Q,I,d,h,r,n),nA.lookAt(A.view,A.position,A.target,A.up)}(this);break;case"perspective":!function(A){var e=A.viewport.width/A.viewport.height,t=A.near,r=A.far,n=A.viewOffset,i=t*Math.tan(.5*A.state.fov),o=2*i,a=e*o,s=-.5*a;n.enabled&&(s+=n.offsetX*a/n.fullWidth,i-=n.offsetY*o/n.fullHeight,a*=n.width/n.fullWidth,o*=n.height/n.fullHeight),nA.perspective(A.projection,s,s+a,i,i-o,t,r),nA.lookAt(A.view,A.position,A.target,A.up)}(this);break;default:throw new Error("unknown camera mode")}var t=!nA.areEqual(this.projection,this.prevProjection,Z)||!nA.areEqual(this.view,this.prevView,Z);if(t){if(nA.mul(this.projectionView,this.projection,this.view),!nA.tryInvert(this.inverseProjectionView,this.projectionView))return nA.copy(this.view,this.prevView),nA.copy(this.projection,this.prevProjection),nA.mul(this.projectionView,this.projection,this.view),!1;nA.copy(this.prevView,this.view),nA.copy(this.prevProjection,this.projection)}return t},A.prototype.setState=function(A,e){this.transition.apply(A,e),this.stateChanged.next(A)},A.prototype.getSnapshot=function(){return A.copySnapshot(A.createDefaultSnapshot(),this.state)},A.prototype.getTargetDistance=function(e){return A.targetDistance(e,this.state.fov,this.viewport.width,this.viewport.height)},A.prototype.getFocus=function(e,t,r,n){var i=Math.max(t,.01),o=this.getTargetDistance(i);gA.sub(this.deltaDirection,this.target,this.position),n&&gA.matchDirection(this.deltaDirection,n,this.deltaDirection),gA.setMagnitude(this.deltaDirection,this.deltaDirection,o),gA.sub(this.newPosition,e,this.deltaDirection);var a=A.copySnapshot(A.createDefaultSnapshot(),this.state);return a.target=gA.clone(e),a.radius=i,a.position=gA.clone(this.newPosition),r&&gA.matchDirection(a.up,r,a.up),a},A.prototype.getInvariantFocus=function(e,t,r,n){var i=Math.max(t,.01),o=this.getTargetDistance(i);gA.copy(this.deltaDirection,n),gA.setMagnitude(this.deltaDirection,this.deltaDirection,o),gA.sub(this.newPosition,e,this.deltaDirection);var a=A.copySnapshot(A.createDefaultSnapshot(),this.state);return a.target=gA.clone(e),a.radius=i,a.position=gA.clone(this.newPosition),gA.copy(a.up,r),a},A.prototype.focus=function(A,e,t,r,n){e>0&&this.setState(this.getFocus(A,e,r,n),t)},A.prototype.project=function(A,e){return function(A,e,t,r){var n=t.x,i=t.y,o=t.width,a=t.height;lA.set(VV,e[0],e[1],e[2],1),lA.transformMat4(VV,VV,r);var s=VV[3];return 0!==s&&(VV[0]/=s,VV[1]/=s,VV[2]/=s),A[0]=(VV[0]+1)*o*.5+n,A[1]=(1-VV[1])*a*.5+i,A[2]=.5*(VV[2]+1),A[3]=0===s?0:1/s,A}(A,e,this.viewport,this.projectionView)},A.prototype.unproject=function(A,e){return TV(A,e,this.viewport,this.inverseProjectionView)},A.prototype.getPixelSize=function(A){return this.project(BT,A),this.unproject(gT,BT),BT[0]+=1,this.unproject(cT,BT),gA.distance(gT,cT)},A}();!function(A){A.ViewOffset=function(){return{enabled:!1,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}},A.setViewOffset=function(A,e,t,r,n,i,o){A.fullWidth=e,A.fullHeight=t,A.offsetX=r,A.offsetY=n,A.width=i,A.height=o},A.copyViewOffset=function(A,e){A.enabled=e.enabled,A.fullWidth=e.fullWidth,A.fullHeight=e.fullHeight,A.offsetX=e.offsetX,A.offsetY=e.offsetY,A.width=e.width,A.height=e.height},A.targetDistance=function(A,e,t,r){var n=Math.max(A,.01),i=r<t?1:t/r;return Math.abs(n/i/Math.sin(e/2))},A.createDefaultSnapshot=function(){return{mode:"perspective",fov:Math.PI/4,position:gA.create(0,0,100),up:gA.create(0,1,0),target:gA.create(0,0,0),radius:0,radiusMax:10,fog:50,clipFar:!0}},A.copySnapshot=function(A,e){return e?(void 0!==e.mode&&(A.mode=e.mode),void 0!==e.fov&&(A.fov=e.fov),void 0!==e.position&&gA.copy(A.position,e.position),void 0!==e.up&&gA.copy(A.up,e.up),void 0!==e.target&&gA.copy(A.target,e.target),void 0!==e.radius&&(A.radius=e.radius),void 0!==e.radiusMax&&(A.radiusMax=e.radiusMax),void 0!==e.fog&&(A.fog=e.fog),void 0!==e.clipFar&&(A.clipFar=e.clipFar),A):A},A.areSnapshotsEqual=function(A,e){return A.mode===e.mode&&A.fov===e.fov&&A.radius===e.radius&&A.radiusMax===e.radiusMax&&A.fog===e.fog&&A.clipFar===e.clipFar&&gA.exactEquals(A.position,e.position)&&gA.exactEquals(A.up,e.up)&&gA.exactEquals(A.target,e.target)}}(lT||(lT={}));var QT={sceneBoundingSpheres:ir.Boolean(!1,{description:"Show full scene bounding spheres."}),visibleSceneBoundingSpheres:ir.Boolean(!1,{description:"Show visible scene bounding spheres."}),objectBoundingSpheres:ir.Boolean(!1,{description:"Show bounding spheres of visible render objects."}),instanceBoundingSpheres:ir.Boolean(!1,{description:"Show bounding spheres of visible instances."})},IT=function(){function A(A,e,t){this.objectsData=new Map,this.instancesData=new Map,this.scene=nT.create(A),this.parent=e,this._props=w(w({},ir.getDefaultValues(QT)),t)}return A.prototype.update=function(){var A=this,e=dT(this.scene,this.parent.boundingSphere,this.sceneData,Rr.lightgrey,hT);e&&(this.sceneData=e);var t=dT(this.scene,this.parent.boundingSphereVisible,this.visibleSceneData,Rr.black,ET);t&&(this.visibleSceneData=t),this.parent.forEach((function(e,t){var r=A.objectsData.get(t),n=dT(A.scene,e.values.boundingSphere.ref.value,r,Rr.tomato,fT);n&&A.objectsData.set(t,n);var i=A.instancesData.get(t),o=dT(A.scene,e.values.invariantBoundingSphere.ref.value,i,Rr.skyblue,CT,{aTransform:t.values.aTransform,matrix:t.values.matrix,transform:t.values.transform,extraTransform:t.values.extraTransform,uInstanceCount:t.values.uInstanceCount,instanceCount:t.values.instanceCount,aInstance:t.values.aInstance,hasReflection:t.values.hasReflection});o&&A.instancesData.set(t,o)})),this.objectsData.forEach((function(e,t){A.parent.has(t)||(A.scene.remove(e.renderObject),A.objectsData.delete(t))})),this.instancesData.forEach((function(e,t){A.parent.has(t)||(A.scene.remove(e.renderObject),A.instancesData.delete(t))})),this.scene.update(void 0,!1),this.scene.commit()},A.prototype.syncVisibility=function(){var A=this;this.sceneData&&(this.sceneData.renderObject.state.visible=this._props.sceneBoundingSpheres),this.visibleSceneData&&(this.visibleSceneData.renderObject.state.visible=this._props.visibleSceneBoundingSpheres),this.parent.forEach((function(e,t){var r=A.objectsData.get(t);r&&(r.renderObject.state.visible=t.state.visible&&A._props.objectBoundingSpheres);var n=A.instancesData.get(t);n&&(n.renderObject.state.visible=t.state.visible&&A._props.instanceBoundingSpheres)}))},A.prototype.clear=function(){this.sceneData=void 0,this.objectsData.clear(),this.scene.clear()},Object.defineProperty(A.prototype,"isEnabled",{get:function(){return this._props.sceneBoundingSpheres||this._props.visibleSceneBoundingSpheres||this._props.objectBoundingSpheres||this._props.instanceBoundingSpheres},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"props",{get:function(){return this._props},enumerable:!1,configurable:!0}),A.prototype.setProps=function(A){Object.assign(this._props,A),this.isEnabled&&this.update()},A}();function dT(A,e,t,r,n,i){if(!t||!Ss.equals(t.boundingSphere,e)){var o=function(A,e){var t=eD(2),r=kD.createState(t,t/2,e);if(A.radius&&(oD(r,A.center,A.radius,2),Ss.hasExtrema(A)))for(var n=0,i=A.extrema;n<i.length;n++)oD(r,i[n],1,0);return kD.getMesh(r)}(e,t&&t.mesh),a=t?t.renderObject:function(A,e,t,r){return fb("mesh",Yv.Utils.createValuesSimple(A,{alpha:.1,doubleSided:!1},e,1,r),{disposed:!1,visible:!0,alphaFactor:1,pickable:!1,colorOnly:!1,opaque:!1,writeDepth:!1,noClip:!1},t)}(o,r,n,i);return t?Y.updateIfChanged(a.values.drawCount,kv.getDrawCount(o)):A.add(a),{boundingSphere:Ss.clone(e),renderObject:a,mesh:o}}}var hT=Eb(),ET=Eb(),fT=Eb(),CT=Eb(),pT=gA(),mT=gA(),yT=gA(),vT={maxFps:ir.Numeric(30,{min:10,max:60,step:10}),preferAtomPixelPadding:ir.Numeric(3,{min:0,max:20,step:1},{description:"Number of extra pixels at which to prefer atoms over bonds."})},DT=function(){function A(A,e,t,r,n){var i=this;void 0===n&&(n={}),this.canvasIdentify=A,this.lociGetter=e,this.input=t,this.camera=r,this.ev=Fh.create(),this.events={hover:this.ev(),drag:this.ev(),click:this.ev()},this.startX=-1,this.startY=-1,this.endX=-1,this.endY=-1,this.id=void 0,this.position=void 0,this.currentIdentifyT=0,this.isInteracting=!1,this.prevLoci=vR.Loci.Empty,this.prevT=0,this.inside=!1,this.buttons=MV.create(0),this.button=MV.create(0),this.modifiers=GV.None,this.props=w(w({},ir.getDefaultValues(vT)),n),t.drag.subscribe((function(A){var e=A.x,t=A.y,r=A.buttons,n=A.button,o=A.modifiers;i.isInteracting=!0,i.drag(e,t,r,n,o)})),t.move.subscribe((function(A){var e=A.x,t=A.y,r=A.inside,n=A.buttons,o=A.button,a=A.modifiers;r&&!i.isInteracting&&i.move(e,t,n,o,a)})),t.leave.subscribe((function(){i.leave()})),t.click.subscribe((function(A){var e=A.x,t=A.y,r=A.buttons,n=A.button,o=A.modifiers;i.outsideViewport(e,t)||i.click(e,t,r,n,o)})),t.interactionEnd.subscribe((function(){i.isInteracting=!1})),t.modifiers.subscribe((function(A){i.modify(A)}))}return A.prototype.setProps=function(A){Object.assign(this.props,A)},A.prototype.identify=function(A,e){var t=this.startX!==this.endX||this.startY!==this.endY;if(2!==A){if(t){var r=this.canvasIdentify(this.endX,this.endY);this.id=null==r?void 0:r.id,this.position=null==r?void 0:r.position,this.startX=this.endX,this.startY=this.endY}if(1===A){var n=this.getLoci(this.id,this.position);return this.events.click.next({current:n,buttons:this.buttons,button:this.button,modifiers:this.modifiers,page:BA.create(this.endX,this.endY),position:this.position}),void(this.prevLoci=n)}if(this.inside&&this.currentIdentifyT===e&&t&&!this.outsideViewport(this.endX,this.endY)){var i=this.getLoci(this.id,this.position);this.events.hover.next({current:i,buttons:this.buttons,button:this.button,modifiers:this.modifiers,page:BA.create(this.endX,this.endY),position:this.position}),this.prevLoci=i}}else t&&!vR.Loci.isEmpty(this.prevLoci)&&(this.events.drag.next({current:this.prevLoci,buttons:this.buttons,button:this.button,modifiers:this.modifiers,pageStart:BA.create(this.startX,this.startY),pageEnd:BA.create(this.endX,this.endY)}),this.startX=this.endX,this.startY=this.endY)},A.prototype.tick=function(A){this.inside&&A-this.prevT>1e3/this.props.maxFps&&(this.prevT=A,this.currentIdentifyT=A,this.identify(this.isInteracting?2:0,A))},A.prototype.leave=function(){this.inside=!1,vR.Loci.isEmpty(this.prevLoci)||(this.prevLoci=vR.Loci.Empty,this.events.hover.next({current:this.prevLoci,buttons:this.buttons,button:this.button,modifiers:this.modifiers}))},A.prototype.move=function(A,e,t,r,n){this.inside=!0,this.buttons=t,this.button=r,this.modifiers=n,this.endX=A,this.endY=e},A.prototype.click=function(A,e,t,r,n){this.endX=A,this.endY=e,this.buttons=t,this.button=r,this.modifiers=n,this.identify(1,0)},A.prototype.drag=function(A,e,t,r,n){this.endX=A,this.endY=e,this.buttons=t,this.button=r,this.modifiers=n,this.identify(2,0)},A.prototype.modify=function(A){GV.areEqual(A,this.modifiers)||(this.modifiers=A,this.events.hover.next({current:this.prevLoci,buttons:this.buttons,button:this.button,modifiers:this.modifiers,page:BA.create(this.endX,this.endY),position:this.position}))},A.prototype.outsideViewport=function(A,e){var t=this.input,r=this.camera.viewport;return A*=t.pixelRatio,e*=t.pixelRatio,A>r.x+r.width||t.height-e>r.y+r.height||A<r.x||t.height-e<r.y},A.prototype.getLoci=function(A,e){var t,r=this.lociGetter(A),n=r.repr,i=r.loci;if(e&&n&&oB.isLoci(i)&&2===i.bonds.length){var o=i.bonds[0],a=o.aUnit,s=o.aIndex;a.conformation.position(a.elements[s],pT),gA.sub(yT,this.camera.state.position,this.camera.state.target),gA.projectPointOnPlane(mT,e,yT,pT);var u=this.camera.getPixelSize(mT),g=n.theme.size.size(i.bonds[0])*(null!==(t=n.props.sizeFactor)&&void 0!==t?t:1);if(!1===n.props.lineSizeAttenuation&&(g*=u/2),g+=this.props.preferAtomPixelPadding*u,gA.distance(mT,pT)<g)return{repr:n,loci:oB.toFirstStructureElementLoci(i)}}return{repr:n,loci:i}},A.prototype.dispose=function(){this.ev.dispose()},A}(),bT={edgeThresholdMin:ir.Numeric(.0312,{min:.0312,max:.0833,step:1e-4},{description:"Trims the algorithm from processing darks."}),edgeThresholdMax:ir.Numeric(.063,{min:.063,max:.333,step:.001},{description:"The minimum amount of local contrast required to apply algorithm."}),iterations:ir.Numeric(12,{min:0,max:16,step:1},{description:"Number of edge exploration steps."}),subpixelQuality:ir.Numeric(.3,{min:0,max:1,step:.01},{description:"Choose the amount of sub-pixel aliasing removal."})},wT=function(){function A(A,e){var t,r,n,i,o,a;this.webgl=A,this.renderable=(t=A,n=(r=e).getWidth(),i=r.getHeight(),o=w(w({},Uv),{tColor:Y.create(r),uTexSizeInv:Y.create(BA.create(1/n,1/i)),dEdgeThresholdMin:Y.create(.0312),dEdgeThresholdMax:Y.create(.125),dIterations:Y.create(12),dSubpixelQuality:Y.create(.3)}),a=w({},FT),bv(mv(t,"triangles",UT,a,o),o))}return A.prototype.updateState=function(A){var e=this.webgl,t=e.gl,r=e.state;r.enable(t.SCISSOR_TEST),r.disable(t.BLEND),r.disable(t.DEPTH_TEST),r.depthMask(!1);var n=A.x,i=A.y,o=A.width,a=A.height;t.viewport(n,i,o,a),t.scissor(n,i,o,a),r.clearColor(0,0,0,1),t.clear(t.COLOR_BUFFER_BIT)},A.prototype.setSize=function(A,e){Y.update(this.renderable.values.uTexSizeInv,BA.set(this.renderable.values.uTexSizeInv.ref.value,1/A,1/e))},A.prototype.update=function(A,e){var t=this.renderable.values,r=e.edgeThresholdMin,n=e.edgeThresholdMax,i=e.iterations,o=e.subpixelQuality,a=!1;t.tColor.ref.value!==A&&(Y.update(this.renderable.values.tColor,A),a=!0),t.dEdgeThresholdMin.ref.value!==r&&(a=!0),Y.updateIfChanged(t.dEdgeThresholdMin,r),t.dEdgeThresholdMax.ref.value!==n&&(a=!0),Y.updateIfChanged(t.dEdgeThresholdMax,n),t.dIterations.ref.value!==i&&(a=!0),Y.updateIfChanged(t.dIterations,i),t.dSubpixelQuality.ref.value!==o&&(a=!0),Y.updateIfChanged(t.dSubpixelQuality,o),a&&this.renderable.update()},A.prototype.render=function(A,e){e?e.bind():this.webgl.unbindFramebuffer(),this.updateState(A),this.renderable.render()},A}(),FT=w(w({},Fv),{tColor:ev("texture","rgba","ubyte","linear"),uTexSizeInv:Av("v2"),dEdgeThresholdMin:rv("number"),dEdgeThresholdMax:rv("number"),dIterations:rv("number"),dSubpixelQuality:rv("number")}),UT=_p("fxaa",dv,"\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\nuniform sampler2D tColor;\nuniform vec2 uTexSizeInv;\n\n// adapted from https://github.com/kosua20/Rendu\n// MIT License Copyright (c) 2017 Simon Rodriguez\n\n#define QUALITY(q) ((q) < 5 ? 1.0 : ((q) > 5 ? ((q) < 10 ? 2.0 : ((q) < 11 ? 4.0 : 8.0)) : 1.5))\n\nfloat rgb2luma(vec3 rgb){\n    return sqrt(dot(rgb, vec3(0.299, 0.587, 0.114)));\n}\n\nfloat sampleLuma(vec2 uv) {\n    return rgb2luma(texture2D(tColor, uv).rgb);\n}\n\nfloat sampleLuma(vec2 uv, float uOffset, float vOffset) {\n    uv += uTexSizeInv * vec2(uOffset, vOffset);\n    return sampleLuma(uv);\n}\n\nvoid main(void) {\n    vec2 coords = gl_FragCoord.xy * uTexSizeInv;\n    vec2 inverseScreenSize = uTexSizeInv;\n\n    vec4 colorCenter = texture2D(tColor, coords);\n\n    // Luma at the current fragment\n    float lumaCenter = rgb2luma(colorCenter.rgb);\n\n    // Luma at the four direct neighbours of the current fragment.\n    float lumaDown = sampleLuma(coords, 0.0, -1.0);\n    float lumaUp = sampleLuma(coords, 0.0, 1.0);\n    float lumaLeft = sampleLuma(coords, -1.0, 0.0);\n    float lumaRight = sampleLuma(coords, 1.0, 0.0);\n\n    // Find the maximum and minimum luma around the current fragment.\n    float lumaMin = min(lumaCenter, min(min(lumaDown, lumaUp), min(lumaLeft, lumaRight)));\n    float lumaMax = max(lumaCenter, max(max(lumaDown, lumaUp), max(lumaLeft, lumaRight)));\n\n    // Compute the delta.\n    float lumaRange = lumaMax - lumaMin;\n\n    // If the luma variation is lower that a threshold (or if we are in a really dark area),\n    // we are not on an edge, don't perform any AA.\n    if (lumaRange < max(dEdgeThresholdMin, lumaMax * dEdgeThresholdMax)) {\n        gl_FragColor = colorCenter;\n        return;\n    }\n\n    // Query the 4 remaining corners lumas.\n    float lumaDownLeft = sampleLuma(coords, -1.0, -1.0);\n    float lumaUpRight = sampleLuma(coords, 1.0, 1.0);\n    float lumaUpLeft = sampleLuma(coords, -1.0, 1.0);\n    float lumaDownRight = sampleLuma(coords, 1.0, -1.0);\n\n    // Combine the four edges lumas (using intermediary variables for future computations\n    // with the same values).\n    float lumaDownUp = lumaDown + lumaUp;\n    float lumaLeftRight = lumaLeft + lumaRight;\n\n    // Same for corners\n    float lumaLeftCorners = lumaDownLeft + lumaUpLeft;\n    float lumaDownCorners = lumaDownLeft + lumaDownRight;\n    float lumaRightCorners = lumaDownRight + lumaUpRight;\n    float lumaUpCorners = lumaUpRight + lumaUpLeft;\n\n    // Compute an estimation of the gradient along the horizontal and vertical axis.\n    float edgeHorizontal = abs(-2.0 * lumaLeft + lumaLeftCorners) + abs(-2.0 * lumaCenter + lumaDownUp) * 2.0 + abs(-2.0 * lumaRight + lumaRightCorners);\n    float edgeVertical = abs(-2.0 * lumaUp + lumaUpCorners) + abs(-2.0 * lumaCenter + lumaLeftRight) * 2.0 + abs(-2.0 * lumaDown + lumaDownCorners);\n\n    // Is the local edge horizontal or vertical ?\n    bool isHorizontal = (edgeHorizontal >= edgeVertical);\n\n    // Choose the step size (one pixel) accordingly.\n    float stepLength = isHorizontal ? inverseScreenSize.y : inverseScreenSize.x;\n\n    // Select the two neighboring texels lumas in the opposite direction to the local edge.\n    float luma1 = isHorizontal ? lumaDown : lumaLeft;\n    float luma2 = isHorizontal ? lumaUp : lumaRight;\n    // Compute gradients in this direction.\n    float gradient1 = luma1 - lumaCenter;\n    float gradient2 = luma2 - lumaCenter;\n\n    // Which direction is the steepest ?\n    bool is1Steepest = abs(gradient1) >= abs(gradient2);\n\n    // Gradient in the corresponding direction, normalized.\n    float gradientScaled = 0.25 * max(abs(gradient1), abs(gradient2));\n\n    // Average luma in the correct direction.\n    float lumaLocalAverage = 0.0;\n    if(is1Steepest){\n        // Switch the direction\n        stepLength = -stepLength;\n        lumaLocalAverage = 0.5 * (luma1 + lumaCenter);\n    } else {\n        lumaLocalAverage = 0.5 * (luma2 + lumaCenter);\n    }\n\n    // Shift UV in the correct direction by half a pixel.\n    vec2 currentUv = coords;\n    if(isHorizontal){\n        currentUv.y += stepLength * 0.5;\n    } else {\n        currentUv.x += stepLength * 0.5;\n    }\n\n    // Compute offset (for each iteration step) in the right direction.\n    vec2 offset = isHorizontal ? vec2(inverseScreenSize.x, 0.0) : vec2(0.0, inverseScreenSize.y);\n    // Compute UVs to explore on each side of the edge, orthogonally.\n    // The QUALITY allows us to step faster.\n    vec2 uv1 = currentUv - offset * QUALITY(0);\n    vec2 uv2 = currentUv + offset * QUALITY(0);\n\n    // Read the lumas at both current extremities of the exploration segment,\n    // and compute the delta wrt to the local average luma.\n    float lumaEnd1 = sampleLuma(uv1);\n    float lumaEnd2 = sampleLuma(uv2);\n    lumaEnd1 -= lumaLocalAverage;\n    lumaEnd2 -= lumaLocalAverage;\n\n    // If the luma deltas at the current extremities is larger than the local gradient,\n    // we have reached the side of the edge.\n    bool reached1 = abs(lumaEnd1) >= gradientScaled;\n    bool reached2 = abs(lumaEnd2) >= gradientScaled;\n    bool reachedBoth = reached1 && reached2;\n\n    // If the side is not reached, we continue to explore in this direction.\n    if(!reached1){\n        uv1 -= offset * QUALITY(1);\n    }\n    if(!reached2){\n        uv2 += offset * QUALITY(1);\n    }\n\n    // If both sides have not been reached, continue to explore.\n    if(!reachedBoth){\n        for(int i = 2; i < dIterations; i++){\n            // If needed, read luma in 1st direction, compute delta.\n            if(!reached1){\n                lumaEnd1 = sampleLuma(uv1);\n                lumaEnd1 = lumaEnd1 - lumaLocalAverage;\n            }\n            // If needed, read luma in opposite direction, compute delta.\n            if(!reached2){\n                lumaEnd2 = sampleLuma(uv2);\n                lumaEnd2 = lumaEnd2 - lumaLocalAverage;\n            }\n            // If the luma deltas at the current extremities is larger than the local gradient,\n            // we have reached the side of the edge.\n            reached1 = abs(lumaEnd1) >= gradientScaled;\n            reached2 = abs(lumaEnd2) >= gradientScaled;\n            reachedBoth = reached1 && reached2;\n\n            // If the side is not reached, we continue to explore in this direction,\n            // with a variable quality.\n            if(!reached1){\n                uv1 -= offset * QUALITY(i);\n            }\n            if(!reached2){\n                uv2 += offset * QUALITY(i);\n            }\n\n            // If both sides have been reached, stop the exploration.\n            if(reachedBoth){\n                break;\n            }\n        }\n    }\n\n    // Compute the distances to each side edge of the edge (!).\n    float distance1 = isHorizontal ? (coords.x - uv1.x) : (coords.y - uv1.y);\n    float distance2 = isHorizontal ? (uv2.x - coords.x) : (uv2.y - coords.y);\n\n    // In which direction is the side of the edge closer ?\n    bool isDirection1 = distance1 < distance2;\n    float distanceFinal = min(distance1, distance2);\n\n    // Thickness of the edge.\n    float edgeThickness = (distance1 + distance2);\n\n    // Is the luma at center smaller than the local average ?\n    bool isLumaCenterSmaller = lumaCenter < lumaLocalAverage;\n\n    // If the luma at center is smaller than at its neighbour,\n    // the delta luma at each end should be positive (same variation).\n    bool correctVariation1 = (lumaEnd1 < 0.0) != isLumaCenterSmaller;\n    bool correctVariation2 = (lumaEnd2 < 0.0) != isLumaCenterSmaller;\n\n    // Only keep the result in the direction of the closer side of the edge.\n    bool correctVariation = isDirection1 ? correctVariation1 : correctVariation2;\n\n    // UV offset: read in the direction of the closest side of the edge.\n    float pixelOffset = - distanceFinal / edgeThickness + 0.5;\n\n    // If the luma variation is incorrect, do not offset.\n    float finalOffset = correctVariation ? pixelOffset : 0.0;\n\n    // Sub-pixel shifting\n    // Full weighted average of the luma over the 3x3 neighborhood.\n    float lumaAverage = (1.0 / 12.0) * (2.0 * (lumaDownUp + lumaLeftRight) + lumaLeftCorners + lumaRightCorners);\n    // Ratio of the delta between the global average and the center luma,\n    // over the luma range in the 3x3 neighborhood.\n    float subPixelOffset1 = clamp(abs(lumaAverage - lumaCenter) / lumaRange, 0.0, 1.0);\n    float subPixelOffset2 = (-2.0 * subPixelOffset1 + 3.0) * subPixelOffset1 * subPixelOffset1;\n    // Compute a sub-pixel offset based on this delta.\n    float subPixelOffsetFinal = subPixelOffset2 * subPixelOffset2 * float(dSubpixelQuality);\n\n    // Pick the biggest of the two offsets.\n    finalOffset = max(finalOffset, subPixelOffsetFinal);\n\n    // Compute the final UV coordinates.\n    vec2 finalUv = coords;\n    if(isHorizontal){\n        finalUv.y += finalOffset * stepLength;\n    } else {\n        finalUv.x += finalOffset * stepLength;\n    }\n\n    // Read the color at the new UV coordinates, and use it.\n    gl_FragColor = texture2D(tColor, finalUv);\n}\n"),ST={edgeThreshold:ir.Numeric(.1,{min:.05,max:.15,step:.01}),maxSearchSteps:ir.Numeric(16,{min:0,max:32,step:1})},NT=function(){function A(A,e){if(this.webgl=A,this._supported=!1,"undefined"!=typeof HTMLImageElement){var t=e.getWidth(),r=e.getHeight();this.edgesTarget=A.createRenderTarget(t,r,!1,"uint8","linear"),this.weightsTarget=A.createRenderTarget(t,r,!1,"uint8","linear"),this.edgesRenderable=function(A,e){var t=e.getWidth(),r=e.getHeight(),n=w(w({},Uv),{tColor:Y.create(e),uTexSizeInv:Y.create(BA.create(1/t,1/r)),uViewport:Y.create(lA()),dEdgeThreshold:Y.create(.1)}),i=w({},RT);return bv(mv(A,"triangles",HT,i,n),n)}(A,e),this.weightsRenderable=function(A,e){var 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",o.tArea,n),Pm("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEIAAAAhCAAAAABIXyLAAAAAOElEQVRIx2NgGAWjYBSMglEwEICREYRgFBZBqDCSLA2MGPUIVQETE9iNUAqLR5gIeoQKRgwXjwAAGn4AtaFeYLEAAAAASUVORK5CYII=",o.tSearch,i);var a=w({},GT);return bv(mv(A,"triangles",MT,a,o),o)}(A,this.edgesTarget.texture),this.blendRenderable=function(A,e,t){var r=e.getWidth(),n=e.getHeight(),i=w(w({},Uv),{tColor:Y.create(e),tWeights:Y.create(t),uTexSizeInv:Y.create(BA.create(1/r,1/n)),uViewport:Y.create(lA())}),o=w({},LT);return bv(mv(A,"triangles",xT,o,i),i)}(A,e,this.weightsTarget.texture),this._supported=!0}else Fe&&console.log('Missing "HTMLImageElement" required for "SMAA"')}return Object.defineProperty(A.prototype,"supported",{get:function(){return this._supported},enumerable:!1,configurable:!0}),A.prototype.updateState=function(A){var e=this.webgl,t=e.gl,r=e.state;r.enable(t.SCISSOR_TEST),r.disable(t.BLEND),r.disable(t.DEPTH_TEST),r.depthMask(!1);var n=A.x,i=A.y,o=A.width,a=A.height;t.viewport(n,i,o,a),t.scissor(n,i,o,a),r.clearColor(0,0,0,1),t.clear(t.COLOR_BUFFER_BIT),Y.update(this.edgesRenderable.values.uViewport,_V.toVec4(this.edgesRenderable.values.uViewport.ref.value,A)),Y.update(this.weightsRenderable.values.uViewport,_V.toVec4(this.weightsRenderable.values.uViewport.ref.value,A)),Y.update(this.blendRenderable.values.uViewport,_V.toVec4(this.blendRenderable.values.uViewport.ref.value,A))},A.prototype.setSize=function(A,e){var t=this.edgesTarget.getWidth(),r=this.edgesTarget.getHeight();A===t&&e===r||(this.edgesTarget.setSize(A,e),this.weightsTarget.setSize(A,e),Y.update(this.edgesRenderable.values.uTexSizeInv,BA.set(this.edgesRenderable.values.uTexSizeInv.ref.value,1/A,1/e)),Y.update(this.weightsRenderable.values.uTexSizeInv,BA.set(this.weightsRenderable.values.uTexSizeInv.ref.value,1/A,1/e)),Y.update(this.blendRenderable.values.uTexSizeInv,BA.set(this.blendRenderable.values.uTexSizeInv.ref.value,1/A,1/e)))},A.prototype.update=function(A,e){var t=!1;this.edgesRenderable.values.tColor.ref.value!==A&&(Y.update(this.edgesRenderable.values.tColor,A),t=!0),this.edgesRenderable.values.dEdgeThreshold.ref.value!==e.edgeThreshold&&(Y.update(this.edgesRenderable.values.dEdgeThreshold,e.edgeThreshold),t=!0),t&&this.edgesRenderable.update(),this.weightsRenderable.values.dMaxSearchSteps.ref.value!==e.maxSearchSteps&&(Y.update(this.weightsRenderable.values.dMaxSearchSteps,e.maxSearchSteps),this.weightsRenderable.update()),this.blendRenderable.values.tColor.ref.value!==A&&(Y.update(this.blendRenderable.values.tColor,A),this.blendRenderable.update())},A.prototype.render=function(A,e){this.edgesTarget.bind(),this.updateState(A),this.edgesRenderable.render(),this.weightsTarget.bind(),this.updateState(A),this.weightsRenderable.render(),e?e.bind():this.webgl.unbindFramebuffer(),this.updateState(A),this.blendRenderable.render()},A}(),RT=w(w({},Fv),{tColor:ev("texture","rgba","ubyte","linear"),uTexSizeInv:Av("v2"),uViewport:Av("v4"),dEdgeThreshold:rv("number")}),HT=_p("smaa-edges","\nprecision highp float;\n\nattribute vec2 aPosition;\nuniform vec2 uQuadScale;\n\nuniform vec2 uTexSizeInv;\nuniform vec4 uViewport;\n\nvarying vec2 vUv;\nvarying vec4 vOffset[3];\n\nvoid SMAAEdgeDetectionVS(vec2 texCoord) {\n    vOffset[0] = texCoord.xyxy + uTexSizeInv.xyxy * vec4(-1.0, 0.0, 0.0, 1.0); // WebGL port note: Changed sign in W component\n    vOffset[1] = texCoord.xyxy + uTexSizeInv.xyxy * vec4(1.0, 0.0, 0.0, -1.0); // WebGL port note: Changed sign in W component\n    vOffset[2] = texCoord.xyxy + uTexSizeInv.xyxy * vec4(-2.0, 0.0, 0.0, 2.0); // WebGL port note: Changed sign in W component\n}\n\nvoid main() {\n    vec2 scale = uViewport.zw * uTexSizeInv;\n    vec2 shift = uViewport.xy * uTexSizeInv;\n    vUv = (aPosition + 1.0) * 0.5 * scale + shift;\n    SMAAEdgeDetectionVS(vUv);\n    vec2 position = aPosition * uQuadScale - vec2(1.0, 1.0) + uQuadScale;\n    gl_Position = vec4(position, 0.0, 1.0);\n}\n","\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\nuniform sampler2D tColor;\nuniform vec2 uTexSizeInv;\n\nvarying vec2 vUv;\nvarying vec4 vOffset[3];\n\nvec4 SMAAColorEdgeDetectionPS(vec2 texcoord, vec4 offset[3], sampler2D colorTex) {\n    vec2 threshold = vec2(dEdgeThreshold, dEdgeThreshold);\n\n    // Calculate color deltas:\n    vec4 delta;\n    vec3 C = texture2D(colorTex, texcoord).rgb;\n\n    vec3 Cleft = texture2D(colorTex, offset[0].xy).rgb;\n    vec3 t = abs(C - Cleft);\n    delta.x = max(max(t.r, t.g), t.b);\n\n    vec3 Ctop = texture2D(colorTex, offset[0].zw).rgb;\n    t = abs(C - Ctop);\n    delta.y = max(max(t.r, t.g), t.b);\n\n    // We do the usual threshold:\n    vec2 edges = step(threshold, delta.xy);\n\n    // Then discard if there is no edge:\n    if (dot(edges, vec2(1.0, 1.0 )) == 0.0)\n        discard;\n\n    // Calculate right and bottom deltas:\n    vec3 Cright = texture2D(colorTex, offset[1].xy).rgb;\n    t = abs( C - Cright );\n    delta.z = max(max(t.r, t.g), t.b);\n\n    vec3 Cbottom  = texture2D(colorTex, offset[1].zw).rgb;\n    t = abs(C - Cbottom);\n    delta.w = max(max(t.r, t.g), t.b);\n\n    // Calculate the maximum delta in the direct neighborhood:\n    float maxDelta = max(max(max(delta.x, delta.y), delta.z), delta.w );\n\n    // Calculate left-left and top-top deltas:\n    vec3 Cleftleft  = texture2D(colorTex, offset[2].xy).rgb;\n    t = abs( C - Cleftleft );\n    delta.z = max(max(t.r, t.g), t.b);\n\n    vec3 Ctoptop = texture2D(colorTex, offset[2].zw).rgb;\n    t = abs(C - Ctoptop);\n    delta.w = max(max(t.r, t.g), t.b);\n\n    // Calculate the final maximum delta:\n    maxDelta = max(max(maxDelta, delta.z), delta.w);\n\n    // Local contrast adaptation in action:\n    edges.xy *= step(0.5 * maxDelta, delta.xy);\n\n    return vec4(edges, 0.0, 0.0);\n}\n\nvoid main() {\n    gl_FragColor = SMAAColorEdgeDetectionPS(vUv, vOffset, tColor);\n}\n"),GT=w(w({},Fv),{tEdges:ev("texture","rgba","ubyte","linear"),tArea:ev("texture","rgb","ubyte","linear"),tSearch:ev("texture","rgba","ubyte","nearest"),uTexSizeInv:Av("v2"),uViewport:Av("v4"),dMaxSearchSteps:rv("number")}),MT=_p("smaa-weights","\nprecision highp float;\n\nattribute vec2 aPosition;\nuniform vec2 uQuadScale;\n\nuniform vec2 uTexSizeInv;\nuniform vec4 uViewport;\n\nvarying vec2 vUv;\nvarying vec4 vOffset[3];\nvarying vec2 vPixCoord;\n\nvoid SMAABlendingWeightCalculationVS(vec2 texCoord) {\n    vPixCoord = texCoord / uTexSizeInv;\n\n    // We will use these offsets for the searches later on (see @PSEUDO_GATHER4):\n    vOffset[0] = texCoord.xyxy + uTexSizeInv.xyxy * vec4(-0.25, 0.125, 1.25, 0.125); // WebGL port note: Changed sign in Y and W components\n    vOffset[1] = texCoord.xyxy + uTexSizeInv.xyxy * vec4(-0.125, 0.25, -0.125, -1.25); // WebGL port note: Changed sign in Y and W components\n\n    // And these for the searches, they indicate the ends of the loops:\n    vOffset[2] = vec4(vOffset[0].xz, vOffset[1].yw) + vec4(-2.0, 2.0, -2.0, 2.0) * uTexSizeInv.xxyy * float(dMaxSearchSteps);\n}\n\nvoid main() {\n    vec2 scale = uViewport.zw * uTexSizeInv;\n    vec2 shift = uViewport.xy * uTexSizeInv;\n    vUv = (aPosition + 1.0) * 0.5 * scale + shift;\n    SMAABlendingWeightCalculationVS(vUv);\n    vec2 position = aPosition * uQuadScale - vec2(1.0, 1.0) + uQuadScale;\n    gl_Position = vec4(position, 0.0, 1.0);\n}\n","\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\n#define SMAASampleLevelZeroOffset(tex, coord, offset) texture2D(tex, coord + float(offset) * uTexSizeInv, 0.0)\n\n#define SMAA_AREATEX_MAX_DISTANCE 16\n#define SMAA_AREATEX_PIXEL_SIZE (1.0 / vec2(160.0, 560.0))\n#define SMAA_AREATEX_SUBTEX_SIZE (1.0 / 7.0)\n\nuniform sampler2D tEdges;\nuniform sampler2D tArea;\nuniform sampler2D tSearch;\nuniform vec2 uTexSizeInv;\n\nvarying vec2 vUv;\nvarying vec4 vOffset[3];\nvarying vec2 vPixCoord;\n\n#if __VERSION__ == 100\n    vec2 round(vec2 x) {\n        return sign(x) * floor(abs(x) + 0.5);\n    }\n#endif\n\nfloat SMAASearchLength(sampler2D searchTex, vec2 e, float bias, float scale) {\n    // Not required if searchTex accesses are set to point:\n    // float2 SEARCH_TEX_PIXEL_SIZE = 1.0 / float2(66.0, 33.0);\n    // e = float2(bias, 0.0) + 0.5 * SEARCH_TEX_PIXEL_SIZE +\n    //     e * float2(scale, 1.0) * float2(64.0, 32.0) * SEARCH_TEX_PIXEL_SIZE;\n    e.r = bias + e.r * scale;\n    return 255.0 * texture2D(searchTex, e, 0.0).r;\n}\n\nfloat SMAASearchXLeft(sampler2D edgesTex, sampler2D searchTex, vec2 texCoord, float end) {\n    /**\n     * @PSEUDO_GATHER4\n     * This texCoord has been offset by (-0.25, -0.125) in the vertex shader to\n     * sample between edge, thus fetching four edges in a row.\n     * Sampling with different offsets in each direction allows to disambiguate\n     * which edges are active from the four fetched ones.\n     */\n    vec2 e = vec2(0.0, 1.0);\n\n    for (int i = 0; i < dMaxSearchSteps; i++) { // WebGL port note: Changed while to for\n        e = texture2D( edgesTex, texCoord, 0.0).rg;\n        texCoord -= vec2(2.0, 0.0) * uTexSizeInv;\n        if (!(texCoord.x > end && e.g > 0.8281 && e.r == 0.0)) break;\n    }\n\n    // We correct the previous (-0.25, -0.125) offset we applied:\n    texCoord.x += 0.25 * uTexSizeInv.x;\n\n    // The searches are bias by 1, so adjust the coords accordingly:\n    texCoord.x += uTexSizeInv.x;\n\n    // Disambiguate the length added by the last step:\n    texCoord.x += 2.0 * uTexSizeInv.x; // Undo last step\n    texCoord.x -= uTexSizeInv.x * SMAASearchLength(searchTex, e, 0.0, 0.5);\n\n    return texCoord.x;\n}\n\nfloat SMAASearchXRight(sampler2D edgesTex, sampler2D searchTex, vec2 texCoord, float end) {\n    vec2 e = vec2( 0.0, 1.0 );\n\n    for (int i = 0; i < dMaxSearchSteps; i++) { // WebGL port note: Changed while to for\n        e = texture2D(edgesTex, texCoord, 0.0).rg;\n        texCoord += vec2(2.0, 0.0) * uTexSizeInv;\n        if (!(texCoord.x < end && e.g > 0.8281 && e.r == 0.0)) break;\n    }\n\n    texCoord.x -= 0.25 * uTexSizeInv.x;\n    texCoord.x -= uTexSizeInv.x;\n    texCoord.x -= 2.0 * uTexSizeInv.x;\n    texCoord.x += uTexSizeInv.x * SMAASearchLength( searchTex, e, 0.5, 0.5 );\n\n    return texCoord.x;\n}\n\nfloat SMAASearchYUp(sampler2D edgesTex, sampler2D searchTex, vec2 texCoord, float end) {\n    vec2 e = vec2( 1.0, 0.0 );\n\n    for (int i = 0; i < dMaxSearchSteps; i++) { // WebGL port note: Changed while to for\n        e = texture2D(edgesTex, texCoord, 0.0).rg;\n        texCoord += vec2(0.0, 2.0) * uTexSizeInv; // WebGL port note: Changed sign\n        if (!(texCoord.y > end && e.r > 0.8281 && e.g == 0.0)) break;\n    }\n\n    texCoord.y -= 0.25 * uTexSizeInv.y; // WebGL port note: Changed sign\n    texCoord.y -= uTexSizeInv.y; // WebGL port note: Changed sign\n    texCoord.y -= 2.0 * uTexSizeInv.y; // WebGL port note: Changed sign\n    texCoord.y += uTexSizeInv.y * SMAASearchLength(searchTex, e.gr, 0.0, 0.5); // WebGL port note: Changed sign\n\n    return texCoord.y;\n}\n\nfloat SMAASearchYDown(sampler2D edgesTex, sampler2D searchTex, vec2 texCoord, float end) {\n    vec2 e = vec2( 1.0, 0.0 );\n\n    for (int i = 0; i < dMaxSearchSteps; i++) { // WebGL port note: Changed while to for\n        e = texture2D(edgesTex, texCoord, 0.0).rg;\n        texCoord -= vec2( 0.0, 2.0 ) * uTexSizeInv; // WebGL port note: Changed sign\n        if (!(texCoord.y < end && e.r > 0.8281 && e.g == 0.0)) break;\n    }\n\n    texCoord.y += 0.25 * uTexSizeInv.y; // WebGL port note: Changed sign\n    texCoord.y += uTexSizeInv.y; // WebGL port note: Changed sign\n    texCoord.y += 2.0 * uTexSizeInv.y; // WebGL port note: Changed sign\n    texCoord.y -= uTexSizeInv.y * SMAASearchLength(searchTex, e.gr, 0.5, 0.5); // WebGL port note: Changed sign\n\n    return texCoord.y;\n}\n\nvec2 SMAAArea(sampler2D areaTex, vec2 dist, float e1, float e2, float offset) {\n    // Rounding prevents precision errors of bilinear filtering:\n    vec2 texCoord = float(SMAA_AREATEX_MAX_DISTANCE) * round(4.0 * vec2(e1, e2)) + dist;\n\n    // We do a scale and bias for mapping to texel space:\n    texCoord = SMAA_AREATEX_PIXEL_SIZE * texCoord + (0.5 * SMAA_AREATEX_PIXEL_SIZE);\n\n    // Move to proper place, according to the subpixel offset:\n    texCoord.y += SMAA_AREATEX_SUBTEX_SIZE * offset;\n\n    return texture2D(areaTex, texCoord, 0.0).rg;\n}\n\nvec4 SMAABlendingWeightCalculationPS(vec2 texCoord, vec2 pixCoord, vec4 offset[3], sampler2D edgesTex, sampler2D areaTex, sampler2D searchTex, ivec4 subsampleIndices) {\n    vec4 weights = vec4(0.0, 0.0, 0.0, 0.0);\n\n    vec2 e = texture2D(edgesTex, texCoord).rg;\n\n    if (e.g > 0.0) { // Edge at north\n        vec2 d;\n\n        // Find the distance to the left:\n        vec2 coords;\n        coords.x = SMAASearchXLeft(edgesTex, searchTex, offset[0].xy, offset[2].x );\n        coords.y = offset[1].y; // offset[1].y = texCoord.y - 0.25 * uTexSizeInv.y (@CROSSING_OFFSET)\n        d.x = coords.x;\n\n        // Now fetch the left crossing edges, two at a time using bilinear\n        // filtering. Sampling at -0.25 (see @CROSSING_OFFSET) enables to\n        // discern what value each edge has:\n        float e1 = texture2D(edgesTex, coords, 0.0).r;\n\n        // Find the distance to the right:\n        coords.x = SMAASearchXRight(edgesTex, searchTex, offset[0].zw, offset[2].y);\n        d.y = coords.x;\n\n        // We want the distances to be in pixel units (doing this here allow to\n        // better interleave arithmetic and memory accesses):\n        d = d / uTexSizeInv.x - pixCoord.x;\n\n        // SMAAArea below needs a sqrt, as the areas texture is compressed\n        // quadratically:\n        vec2 sqrt_d = sqrt(abs(d));\n\n        // Fetch the right crossing edges:\n        coords.y -= 1.0 * uTexSizeInv.y; // WebGL port note: Added\n        float e2 = SMAASampleLevelZeroOffset(edgesTex, coords, ivec2(1, 0)).r;\n\n        // Ok, we know how this pattern looks like, now it is time for getting\n        // the actual area:\n        weights.rg = SMAAArea(areaTex, sqrt_d, e1, e2, float(subsampleIndices.y));\n    }\n\n    if (e.r > 0.0) { // Edge at west\n        vec2 d;\n\n        // Find the distance to the top:\n        vec2 coords;\n\n        coords.y = SMAASearchYUp(edgesTex, searchTex, offset[1].xy, offset[2].z );\n        coords.x = offset[0].x; // offset[1].x = texCoord.x - 0.25 * uTexSizeInv.x;\n        d.x = coords.y;\n\n        // Fetch the top crossing edges:\n        float e1 = texture2D(edgesTex, coords, 0.0).g;\n\n        // Find the distance to the bottom:\n        coords.y = SMAASearchYDown(edgesTex, searchTex, offset[1].zw, offset[2].w);\n        d.y = coords.y;\n\n        // We want the distances to be in pixel units:\n        d = d / uTexSizeInv.y - pixCoord.y;\n\n        // SMAAArea below needs a sqrt, as the areas texture is compressed\n        // quadratically:\n        vec2 sqrt_d = sqrt(abs(d));\n\n        // Fetch the bottom crossing edges:\n        coords.y -= 1.0 * uTexSizeInv.y; // WebGL port note: Added\n        float e2 = SMAASampleLevelZeroOffset(edgesTex, coords, ivec2(0, 1)).g;\n\n        // Get the area for this direction:\n        weights.ba = SMAAArea(areaTex, sqrt_d, e1, e2, float(subsampleIndices.x));\n    }\n\n    return weights;\n}\n\nvoid main() {\n    gl_FragColor = SMAABlendingWeightCalculationPS(vUv, vPixCoord, vOffset, tEdges, tArea, tSearch, ivec4(0.0));\n}\n"),LT=w(w({},Fv),{tColor:ev("texture","rgba","ubyte","linear"),tWeights:ev("texture","rgba","ubyte","linear"),uTexSizeInv:Av("v2"),uViewport:Av("v4")}),xT=_p("smaa-blend","\nprecision highp float;\n\nattribute vec2 aPosition;\nuniform vec2 uQuadScale;\n\nuniform vec2 uTexSizeInv;\nuniform vec4 uViewport;\n\nvarying vec2 vUv;\nvarying vec4 vOffset[2];\n\nvoid SMAANeighborhoodBlendingVS(vec2 texCoord) {\n    vOffset[0] = texCoord.xyxy + uTexSizeInv.xyxy * vec4(-1.0, 0.0, 0.0, 1.0); // WebGL port note: Changed sign in W component\n    vOffset[1] = texCoord.xyxy + uTexSizeInv.xyxy * vec4(1.0, 0.0, 0.0, -1.0); // WebGL port note: Changed sign in W component\n}\n\nvoid main() {\n    vec2 scale = uViewport.zw * uTexSizeInv;\n    vec2 shift = uViewport.xy * uTexSizeInv;\n    vUv = (aPosition + 1.0) * 0.5 * scale + shift;\n    SMAANeighborhoodBlendingVS(vUv);\n    vec2 position = aPosition * uQuadScale - vec2(1.0, 1.0) + uQuadScale;\n    gl_Position = vec4(position, 0.0, 1.0);\n}\n","\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\nuniform sampler2D tWeights;\nuniform sampler2D tColor;\nuniform vec2 uTexSizeInv;\n\nvarying vec2 vUv;\nvarying vec4 vOffset[2];\n\nvec4 SMAANeighborhoodBlendingPS(vec2 texCoord, vec4 offset[2], sampler2D colorTex, sampler2D blendTex) {\n    // Fetch the blending weights for current pixel:\n    vec4 a;\n    a.xz = texture2D(blendTex, texCoord).xz;\n    a.y = texture2D(blendTex, offset[1].zw).g;\n    a.w = texture2D(blendTex, offset[1].xy).a;\n\n    // Is there any blending weight with a value greater than 0.0?\n    if (dot(a, vec4(1.0, 1.0, 1.0, 1.0)) < 1e-5) {\n        return texture2D(colorTex, texCoord, 0.0);\n    } else {\n        // Up to 4 lines can be crossing a pixel (one through each edge). We\n        // favor blending by choosing the line with the maximum weight for each\n        // direction:\n        vec2 offset;\n        offset.x = a.a > a.b ? a.a : -a.b; // left vs. right\n        offset.y = a.g > a.r ? -a.g : a.r; // top vs. bottom // WebGL port note: Changed signs\n\n        // Then we go in the direction that has the maximum weight:\n        if (abs(offset.x) > abs(offset.y)) { // horizontal vs. vertical\n            offset.y = 0.0;\n        } else {\n            offset.x = 0.0;\n        }\n\n        // Fetch the opposite color and lerp by hand:\n        vec4 C = texture2D(colorTex, texCoord, 0.0);\n        texCoord += sign(offset) * uTexSizeInv;\n        vec4 Cop = texture2D(colorTex, texCoord, 0.0);\n        float s = abs(offset.x) > abs(offset.y) ? abs(offset.x) : abs(offset.y);\n\n        // WebGL port note: Added gamma correction\n        C.xyz = pow(C.xyz, vec3(2.2));\n        Cop.xyz = pow(Cop.xyz, vec3(2.2));\n        vec4 mixed = mix(C, Cop, s);\n        mixed.xyz = pow(mixed.xyz, vec3(1.0 / 2.2));\n\n        return mixed;\n    }\n}\n\nvoid main() {\n    gl_FragColor = SMAANeighborhoodBlendingPS(vUv, vOffset, tColor, tWeights);\n}\n"),kT=w(w({},Fv),{tDepth:ev("texture","rgba","ubyte","nearest"),uTexSize:Av("v2"),dOrthographic:rv("number"),uNear:Av("f"),uFar:Av("f"),uMaxPossibleViewZDiff:Av("f")}),YT=w(w({},Fv),{tDepth:ev("texture","rgba","ubyte","nearest"),uSamples:Av("v3[]"),dNSamples:rv("number"),uProjection:Av("m4"),uInvProjection:Av("m4"),uBounds:Av("v4"),uTexSize:Av("v2"),uRadius:Av("f"),uBias:Av("f")}),_T=w(w({},Fv),{tSsaoDepth:ev("texture","rgba","ubyte","nearest"),uTexSize:Av("v2"),uKernel:Av("f[]"),dOcclusionKernelSize:rv("number"),uBlurDirectionX:Av("f"),uBlurDirectionY:Av("f"),uMaxPossibleViewZDiff:Av("f"),uNear:Av("f"),uFar:Av("f"),uBounds:Av("v4"),dOrthographic:rv("number")});function VT(A,e,t){var r=w(w({},Uv),{tSsaoDepth:Y.create(e),uTexSize:Y.create(BA.create(e.getWidth(),e.getHeight())),uKernel:Y.create([0]),dOcclusionKernelSize:Y.create(1),uBlurDirectionX:Y.create("horizontal"===t?1:0),uBlurDirectionY:Y.create("vertical"===t?1:0),uMaxPossibleViewZDiff:Y.create(.5),uNear:Y.create(0),uFar:Y.create(1e4),uBounds:Y.create(lA()),dOrthographic:Y.create(0)}),n=w({},_T);return bv(mv(A,"triangles",_p("ssao_blur",dv,"\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\nuniform sampler2D tSsaoDepth;\nuniform vec2 uTexSize;\nuniform vec4 uBounds;\n\nuniform float uKernel[dOcclusionKernelSize];\n\nuniform float uBlurDirectionX;\nuniform float uBlurDirectionY;\n\nuniform float uMaxPossibleViewZDiff;\n\nuniform float uNear;\nuniform float uFar;\n\n#include common\n\nfloat getViewZ(const in float depth) {\n    #if dOrthographic == 1\n        return orthographicDepthToViewZ(depth, uNear, uFar);\n    #else\n        return perspectiveDepthToViewZ(depth, uNear, uFar);\n    #endif\n}\n\nbool isBackground(const in float depth) {\n    return depth == 1.0;\n}\n\nbool outsideBounds(const in vec2 p) {\n    return p.x < uBounds.x || p.y < uBounds.y || p.x > uBounds.z || p.y > uBounds.w;\n}\n\nvoid main(void) {\n    vec2 coords = gl_FragCoord.xy / uTexSize;\n\n    vec2 packedDepth = texture2D(tSsaoDepth, coords).zw;\n\n    if (outsideBounds(coords)) {\n        gl_FragColor = vec4(packUnitIntervalToRG(1.0), packedDepth);\n        return;\n    }\n\n    float selfDepth = unpackRGToUnitInterval(packedDepth);\n    // if background and if second pass\n    if (isBackground(selfDepth) && uBlurDirectionY != 0.0) {\n        gl_FragColor = vec4(packUnitIntervalToRG(1.0), packedDepth);\n        return;\n    }\n\n    float selfViewZ = getViewZ(selfDepth);\n\n    vec2 offset = vec2(uBlurDirectionX, uBlurDirectionY) / uTexSize;\n\n    float sum = 0.0;\n    float kernelSum = 0.0;\n    // only if kernelSize is odd\n    for (int i = -dOcclusionKernelSize / 2; i <= dOcclusionKernelSize / 2; i++) {\n        vec2 sampleCoords = coords + float(i) * offset;\n        if (outsideBounds(sampleCoords)) {\n            continue;\n        }\n\n        vec4 sampleSsaoDepth = texture2D(tSsaoDepth, sampleCoords);\n\n        float sampleDepth = unpackRGToUnitInterval(sampleSsaoDepth.zw);\n        if (isBackground(sampleDepth)) {\n            continue;\n        }\n\n        if (abs(float(i)) > 1.0) { // abs is not defined for int in webgl1\n            float sampleViewZ = getViewZ(sampleDepth);\n            if (abs(selfViewZ - sampleViewZ) > uMaxPossibleViewZDiff) {\n                continue;\n            }\n        }\n\n        float kernel = uKernel[int(abs(float(i)))]; // abs is not defined for int in webgl1\n        float sampleValue = unpackRGToUnitInterval(sampleSsaoDepth.xy);\n\n        sum += kernel * sampleValue;\n        kernelSum += kernel;\n    }\n\n    gl_FragColor = vec4(packUnitIntervalToRG(sum / kernelSum), packedDepth);\n}\n"),n,r),r)}var TT=w(w({},Fv),{tSsaoDepth:ev("texture","rgba","ubyte","nearest"),tColor:ev("texture","rgba","ubyte","nearest"),tDepth:ev("texture","rgba","ubyte","nearest"),tOutlines:ev("texture","rgba","ubyte","nearest"),uTexSize:Av("v2"),dOrthographic:rv("number"),uNear:Av("f"),uFar:Av("f"),uFogNear:Av("f"),uFogFar:Av("f"),uFogColor:Av("v3"),uOutlineColor:Av("v3"),uTransparentBackground:Av("b"),uMaxPossibleViewZDiff:Av("f"),dOcclusionEnable:rv("boolean"),dOutlineEnable:rv("boolean"),dOutlineScale:rv("number"),uOutlineThreshold:Av("f")}),PT={occlusion:ir.MappedStatic("on",{on:ir.Group({samples:ir.Numeric(32,{min:1,max:256,step:1}),radius:ir.Numeric(5,{min:0,max:10,step:.1},{description:"Final radius is 2^x."}),bias:ir.Numeric(.8,{min:0,max:3,step:.1}),blurKernelSize:ir.Numeric(15,{min:1,max:25,step:2})}),off:ir.Group({})},{cycle:!0,description:"Darken occluded crevices with the ambient occlusion effect"}),outline:ir.MappedStatic("off",{on:ir.Group({scale:ir.Numeric(1,{min:1,max:5,step:1}),threshold:ir.Numeric(.33,{min:.01,max:1,step:.01}),color:ir.Color(SA(0))}),off:ir.Group({})},{cycle:!0,description:"Draw outline around 3D objects"}),antialiasing:ir.MappedStatic("smaa",{fxaa:ir.Group(bT),smaa:ir.Group(ST),off:ir.Group({})},{options:[["fxaa","FXAA"],["smaa","SMAA"],["off","Off"]],description:"Smooth pixel edges"})},JT=function(){function A(A,e){this.webgl=A,this.ssaoScale=this.calcSsaoScale();var t=e.colorTarget,r=e.depthTexture,n=t.getWidth(),i=t.getHeight();this.nSamples=1,this.blurKernelSize=1,this.target=A.createRenderTarget(n,i,!1,"uint8","linear"),this.outlinesTarget=A.createRenderTarget(n,i,!1),this.outlinesRenderable=function(A,e){var t=w(w({},Uv),{tDepth:Y.create(e),uTexSize:Y.create(BA.create(e.getWidth(),e.getHeight())),dOrthographic:Y.create(0),uNear:Y.create(1),uFar:Y.create(1e4),uMaxPossibleViewZDiff:Y.create(.5)}),r=w({},kT);return bv(mv(A,"triangles",_p("outlines",dv,"\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\nuniform sampler2D tDepth;\nuniform vec2 uTexSize;\n\nuniform float uNear;\nuniform float uFar;\n\nuniform float uMaxPossibleViewZDiff;\n\n#include common\n\nfloat getViewZ(const in float depth) {\n    #if dOrthographic == 1\n        return orthographicDepthToViewZ(depth, uNear, uFar);\n    #else\n        return perspectiveDepthToViewZ(depth, uNear, uFar);\n    #endif\n}\n\nfloat getDepth(const in vec2 coords) {\n    return unpackRGBAToDepth(texture2D(tDepth, coords));\n}\n\nbool isBackground(const in float depth) {\n    return depth == 1.0;\n}\n\nvoid main(void) {\n    float backgroundViewZ = uFar + 3.0 * uMaxPossibleViewZDiff;\n\n    vec2 coords = gl_FragCoord.xy / uTexSize;\n    vec2 invTexSize = 1.0 / uTexSize;\n\n    float selfDepth = getDepth(coords);\n    float selfViewZ = isBackground(selfDepth) ? backgroundViewZ : getViewZ(getDepth(coords));\n\n    float outline = 1.0;\n    float bestDepth = 1.0;\n\n    for (int y = -1; y <= 1; y++) {\n        for (int x = -1; x <= 1; x++) {\n            vec2 sampleCoords = coords + vec2(float(x), float(y)) * invTexSize;\n            float sampleDepth = getDepth(sampleCoords);\n            float sampleViewZ = isBackground(sampleDepth) ? backgroundViewZ : getViewZ(sampleDepth);\n\n            if (abs(selfViewZ - sampleViewZ) > uMaxPossibleViewZDiff && selfDepth > sampleDepth && sampleDepth <= bestDepth) {\n                outline = 0.0;\n                bestDepth = sampleDepth;\n            }\n        }\n    }\n\n    gl_FragColor = vec4(outline, packUnitIntervalToRG(bestDepth), 0.0);\n}\n"),r,t),t)}(A,r),this.randomHemisphereVector=[];for(var o=0;o<256;o++){var a=gA();a[0]=2*Math.random()-1,a[1]=2*Math.random()-1,a[2]=Math.random(),gA.normalize(a,a),gA.scale(a,a,Math.random()),this.randomHemisphereVector.push(a)}this.ssaoFramebuffer=A.resources.framebuffer(),this.ssaoBlurFirstPassFramebuffer=A.resources.framebuffer(),this.ssaoBlurSecondPassFramebuffer=A.resources.framebuffer();var s=Math.floor(n*this.ssaoScale),u=Math.floor(i*this.ssaoScale);this.ssaoDepthTexture=A.resources.texture("image-uint8","rgba","ubyte","nearest"),this.ssaoDepthTexture.define(s,u),this.ssaoDepthTexture.attachFramebuffer(this.ssaoFramebuffer,"color0"),this.ssaoDepthBlurProxyTexture=A.resources.texture("image-uint8","rgba","ubyte","nearest"),this.ssaoDepthBlurProxyTexture.define(s,u),this.ssaoDepthBlurProxyTexture.attachFramebuffer(this.ssaoBlurFirstPassFramebuffer,"color0"),this.ssaoDepthTexture.attachFramebuffer(this.ssaoBlurSecondPassFramebuffer,"color0"),this.ssaoRenderable=function(A,e){var t=w(w({},Uv),{tDepth:Y.create(e),uSamples:Y.create([0,0,1]),dNSamples:Y.create(1),uProjection:Y.create(nA.identity()),uInvProjection:Y.create(nA.identity()),uBounds:Y.create(lA()),uTexSize:Y.create(BA.create(A.gl.drawingBufferWidth,A.gl.drawingBufferHeight)),uRadius:Y.create(8),uBias:Y.create(.025)}),r=w({},YT);return bv(mv(A,"triangles",_p("ssao",dv,"\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\n#include common\n\nuniform sampler2D tDepth;\nuniform vec2 uTexSize;\nuniform vec4 uBounds;\n\nuniform vec3 uSamples[dNSamples];\n\nuniform mat4 uProjection;\nuniform mat4 uInvProjection;\n\nuniform float uRadius;\nuniform float uBias;\n\nfloat smootherstep(float edge0, float edge1, float x) {\n    x = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n    return x * x * x * (x * (x * 6.0 - 15.0) + 10.0);\n}\n\nfloat noise(const in vec2 coords) {\n    float a = 12.9898;\n    float b = 78.233;\n    float c = 43758.5453;\n    float dt = dot(coords, vec2(a,b));\n    float sn = mod(dt, PI);\n    return abs(fract(sin(sn) * c)); // is abs necessary?\n}\n\nvec2 getNoiseVec2(const in vec2 coords) {\n    return vec2(noise(coords), noise(coords + vec2(PI, 2.71828)));\n}\n\nbool isBackground(const in float depth) {\n    return depth == 1.0;\n}\n\nbool outsideBounds(const in vec2 p) {\n    return p.x < uBounds.x || p.y < uBounds.y || p.x > uBounds.z || p.y > uBounds.w;\n}\n\nfloat getDepth(const in vec2 coords) {\n    return outsideBounds(coords) ? 1.0 : unpackRGBAToDepth(texture2D(tDepth, coords));\n}\n\nvec3 normalFromDepth(const in float depth, const in float depth1, const in float depth2, vec2 offset1, vec2 offset2) {\n    vec3 p1 = vec3(offset1, depth1 - depth);\n    vec3 p2 = vec3(offset2, depth2 - depth);\n\n    vec3 normal = cross(p1, p2);\n    normal.z = -normal.z;\n\n    return normalize(normal);\n}\n\n// StarCraft II Ambient Occlusion by [Filion and McNaughton 2008]\nvoid main(void) {\n    vec2 invTexSize = 1.0 / uTexSize;\n    vec2 selfCoords = gl_FragCoord.xy * invTexSize;\n\n    float selfDepth = getDepth(selfCoords);\n    vec2 selfPackedDepth = packUnitIntervalToRG(selfDepth);\n\n    if (isBackground(selfDepth)) {\n        gl_FragColor = vec4(packUnitIntervalToRG(0.0), selfPackedDepth);\n        return;\n    }\n\n    vec2 offset1 = vec2(0.0, invTexSize.y);\n    vec2 offset2 = vec2(invTexSize.x, 0.0);\n\n    float selfDepth1 = getDepth(selfCoords + offset1);\n    float selfDepth2 = getDepth(selfCoords + offset2);\n\n    vec3 selfViewNormal = normalFromDepth(selfDepth, selfDepth1, selfDepth2, offset1, offset2);\n    vec3 selfViewPos = screenSpaceToViewSpace(vec3(selfCoords, selfDepth), uInvProjection);\n\n    vec3 randomVec = normalize(vec3(getNoiseVec2(selfCoords) * 2.0 - 1.0, 0.0));\n\n    vec3 tangent = normalize(randomVec - selfViewNormal * dot(randomVec, selfViewNormal));\n    vec3 bitangent = cross(selfViewNormal, tangent);\n    mat3 TBN = mat3(tangent, bitangent, selfViewNormal);\n\n    float occlusion = 0.0;\n    for(int i = 0; i < dNSamples; i++){\n        vec3 sampleViewPos = TBN * uSamples[i];\n        sampleViewPos = selfViewPos + sampleViewPos * uRadius;\n\n        vec4 offset = vec4(sampleViewPos, 1.0);\n        offset = uProjection * offset;\n        offset.xyz = (offset.xyz / offset.w) * 0.5 + 0.5;\n\n        float sampleViewZ = screenSpaceToViewSpace(vec3(offset.xy, getDepth(offset.xy)), uInvProjection).z;\n\n        occlusion += step(sampleViewPos.z + 0.025, sampleViewZ) * smootherstep(0.0, 1.0, uRadius / abs(selfViewPos.z - sampleViewZ));\n    }\n    occlusion = 1.0 - (uBias * occlusion / float(dNSamples));\n\n    vec2 packedOcclusion = packUnitIntervalToRG(occlusion);\n\n    gl_FragColor = vec4(packedOcclusion, selfPackedDepth);\n}\n"),r,t),t)}(A,r),this.ssaoBlurFirstPassRenderable=VT(A,this.ssaoDepthTexture,"horizontal"),this.ssaoBlurSecondPassRenderable=VT(A,this.ssaoDepthBlurProxyTexture,"vertical"),this.renderable=function(A,e,t,r,n){var i=w(w({},Uv),{tSsaoDepth:Y.create(n),tColor:Y.create(e),tDepth:Y.create(t),tOutlines:Y.create(r),uTexSize:Y.create(BA.create(e.getWidth(),e.getHeight())),dOrthographic:Y.create(0),uNear:Y.create(1),uFar:Y.create(1e4),uFogNear:Y.create(1e4),uFogFar:Y.create(1e4),uFogColor:Y.create(gA.create(1,1,1)),uOutlineColor:Y.create(gA.create(0,0,0)),uTransparentBackground:Y.create(!1),uMaxPossibleViewZDiff:Y.create(.5),dOcclusionEnable:Y.create(!1),dOutlineEnable:Y.create(!1),dOutlineScale:Y.create(1),uOutlineThreshold:Y.create(.33)}),o=w({},TT);return bv(mv(A,"triangles",_p("postprocessing",dv,"\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\nuniform sampler2D tSsaoDepth;\nuniform sampler2D tColor;\nuniform sampler2D tDepth;\nuniform sampler2D tOutlines;\nuniform vec2 uTexSize;\n\nuniform float uNear;\nuniform float uFar;\nuniform float uFogNear;\nuniform float uFogFar;\nuniform vec3 uFogColor;\nuniform vec3 uOutlineColor;\nuniform bool uTransparentBackground;\n\nuniform float uOcclusionBias;\nuniform float uOcclusionRadius;\n\nuniform float uMaxPossibleViewZDiff;\n\nconst vec3 occlusionColor = vec3(0.0);\n\n#include common\n\nfloat getViewZ(const in float depth) {\n    #if dOrthographic == 1\n        return orthographicDepthToViewZ(depth, uNear, uFar);\n    #else\n        return perspectiveDepthToViewZ(depth, uNear, uFar);\n    #endif\n}\n\nfloat getDepth(const in vec2 coords) {\n    return unpackRGBAToDepth(texture2D(tDepth, coords));\n}\n\nbool isBackground(const in float depth) {\n    return depth == 1.0;\n}\n\nfloat getOutline(const in vec2 coords, out float closestTexel) {\n    float backgroundViewZ = uFar + 3.0 * uMaxPossibleViewZDiff;\n    vec2 invTexSize = 1.0 / uTexSize;\n\n    float selfDepth = getDepth(coords);\n    float selfViewZ = isBackground(selfDepth) ? backgroundViewZ : getViewZ(selfDepth);\n\n    float outline = 1.0;\n    closestTexel = 1.0;\n    for (int y = -dOutlineScale; y <= dOutlineScale; y++) {\n        for (int x = -dOutlineScale; x <= dOutlineScale; x++) {\n            if (x * x + y * y > dOutlineScale * dOutlineScale) {\n                continue;\n            }\n\n            vec2 sampleCoords = coords + vec2(float(x), float(y)) * invTexSize;\n\n            vec4 sampleOutlineCombined = texture2D(tOutlines, sampleCoords);\n            float sampleOutline = sampleOutlineCombined.r;\n            float sampleOutlineDepth = unpackRGToUnitInterval(sampleOutlineCombined.gb);\n\n            if (sampleOutline == 0.0 && sampleOutlineDepth < closestTexel && abs(selfViewZ - sampleOutlineDepth) > uMaxPossibleViewZDiff) {\n                outline = 0.0;\n                closestTexel = sampleOutlineDepth;\n            }\n        }\n    }\n    return outline;\n}\n\nfloat getSsao(vec2 coords) {\n    float rawSsao = unpackRGToUnitInterval(texture2D(tSsaoDepth, coords).xy);\n    if (rawSsao > 0.999) {\n        return 1.0;\n    } else if (rawSsao > 0.001) {\n        return rawSsao;\n    }\n    // treat values close to 0.0 as errors and return no occlusion\n    return 1.0;\n}\n\nvoid main(void) {\n    vec2 coords = gl_FragCoord.xy / uTexSize;\n    vec4 color = texture2D(tColor, coords);\n\n    float viewDist;\n    float fogFactor;\n\n    #ifdef dOcclusionEnable\n        float depth = getDepth(coords);\n        if (!isBackground(depth)) {\n            viewDist = abs(getViewZ(depth));\n            fogFactor = smoothstep(uFogNear, uFogFar, viewDist);\n            float occlusionFactor = getSsao(coords);\n            if (!uTransparentBackground) {\n                color.rgb = mix(mix(occlusionColor, uFogColor, fogFactor), color.rgb, occlusionFactor);\n            } else {\n                color.rgb = mix(occlusionColor * (1.0 - fogFactor), color.rgb, occlusionFactor);\n            }\n        }\n    #endif\n\n    // outline needs to be handled after occlusion to keep them clean\n    #ifdef dOutlineEnable\n        float closestTexel;\n        float outline = getOutline(coords, closestTexel);\n\n        if (outline == 0.0) {\n            color.rgb = mix(uOutlineColor, color.rgb, outline);\n            viewDist = abs(getViewZ(closestTexel));\n            fogFactor = smoothstep(uFogNear, uFogFar, viewDist);\n            if (!uTransparentBackground) {\n                color.rgb = mix(color.rgb, uFogColor, fogFactor);\n            } else {\n                color.a = 1.0 - fogFactor;\n            }\n        }\n    #endif\n\n    gl_FragColor = color;\n}\n"),o,i),i)}(A,t.texture,r,this.outlinesTarget.texture,this.ssaoDepthTexture)}return A.isEnabled=function(A){return"on"===A.occlusion.name||"on"===A.outline.name},A.prototype.calcSsaoScale=function(){return Math.min(1,1/this.webgl.pixelRatio)},A.prototype.setSize=function(A,e){var t=this.renderable.values.uTexSize.ref.value,r=t[0],n=t[1],i=this.calcSsaoScale();if(A!==r||e!==n||this.ssaoScale!==i){this.ssaoScale=i;var o=Math.floor(A*this.ssaoScale),a=Math.floor(e*this.ssaoScale);this.target.setSize(A,e),this.outlinesTarget.setSize(A,e),this.ssaoDepthTexture.define(o,a),this.ssaoDepthBlurProxyTexture.define(o,a),Y.update(this.renderable.values.uTexSize,BA.set(this.renderable.values.uTexSize.ref.value,A,e)),Y.update(this.outlinesRenderable.values.uTexSize,BA.set(this.outlinesRenderable.values.uTexSize.ref.value,A,e)),Y.update(this.ssaoRenderable.values.uTexSize,BA.set(this.ssaoRenderable.values.uTexSize.ref.value,o,a)),Y.update(this.ssaoBlurFirstPassRenderable.values.uTexSize,BA.set(this.ssaoBlurFirstPassRenderable.values.uTexSize.ref.value,o,a)),Y.update(this.ssaoBlurSecondPassRenderable.values.uTexSize,BA.set(this.ssaoBlurSecondPassRenderable.values.uTexSize.ref.value,o,a))}},A.prototype.updateState=function(A,e,t,r){var n=!1,i=!1,o=!1,a="orthographic"===A.state.mode?1:0,s="on"===r.outline.name,u="on"===r.occlusion.name,g=nA.identity();if(nA.invert(g,A.projection),"on"===r.occlusion.name){Y.update(this.ssaoRenderable.values.uProjection,A.projection),Y.update(this.ssaoRenderable.values.uInvProjection,g);var c=this.renderable.values.uTexSize.ref.value,B=c[0],l=c[1],Q=this.ssaoRenderable.values.uBounds,I=A.viewport,d=this.ssaoScale;if(lA.set(Q.ref.value,Math.floor(I.x*d)/(B*d),Math.floor(I.y*d)/(l*d),Math.ceil((I.x+I.width)*d)/(B*d),Math.ceil((I.y+I.height)*d)/(l*d)),Y.update(Q,Q.ref.value),Y.update(this.ssaoBlurFirstPassRenderable.values.uBounds,Q.ref.value),Y.update(this.ssaoBlurSecondPassRenderable.values.uBounds,Q.ref.value),Y.updateIfChanged(this.ssaoBlurFirstPassRenderable.values.uNear,A.near),Y.updateIfChanged(this.ssaoBlurSecondPassRenderable.values.uNear,A.near),Y.updateIfChanged(this.ssaoBlurFirstPassRenderable.values.uFar,A.far),Y.updateIfChanged(this.ssaoBlurSecondPassRenderable.values.uFar,A.far),this.ssaoBlurFirstPassRenderable.values.dOrthographic.ref.value!==a&&(o=!0),Y.updateIfChanged(this.ssaoBlurFirstPassRenderable.values.dOrthographic,a),Y.updateIfChanged(this.ssaoBlurSecondPassRenderable.values.dOrthographic,a),this.nSamples!==r.occlusion.params.samples&&(i=!0,this.nSamples=r.occlusion.params.samples,Y.update(this.ssaoRenderable.values.uSamples,function(A,e){for(var t=[],r=0;r<e;r++){var n=(r*r+2*r+1)/(e*e);n=.1+.9*n,t.push(A[r][0]*n),t.push(A[r][1]*n),t.push(A[r][2]*n)}return t}(this.randomHemisphereVector,this.nSamples)),Y.updateIfChanged(this.ssaoRenderable.values.dNSamples,this.nSamples)),Y.updateIfChanged(this.ssaoRenderable.values.uRadius,Math.pow(2,r.occlusion.params.radius)),Y.updateIfChanged(this.ssaoRenderable.values.uBias,r.occlusion.params.bias),this.blurKernelSize!==r.occlusion.params.blurKernelSize){o=!0,this.blurKernelSize=r.occlusion.params.blurKernelSize;var h=function(A){for(var e=A/3,t=Math.floor((A+1)/2),r=[],n=0;n<t;n++)r.push(1/(Math.sqrt(2*Math.PI)*e)*Math.exp(-n*n/(2*e*e)));return r}(this.blurKernelSize);Y.update(this.ssaoBlurFirstPassRenderable.values.uKernel,h),Y.update(this.ssaoBlurSecondPassRenderable.values.uKernel,h),Y.updateIfChanged(this.ssaoBlurFirstPassRenderable.values.dOcclusionKernelSize,this.blurKernelSize),Y.updateIfChanged(this.ssaoBlurSecondPassRenderable.values.dOcclusionKernelSize,this.blurKernelSize)}}if("on"===r.outline.name){var E=r.outline.params.threshold;"orthographic"===A.state.mode&&(E/=5);var f=Math.pow(1e3,E)/1e3*A.state.radiusMax,C=r.outline.params.scale-1;Y.updateIfChanged(this.outlinesRenderable.values.uNear,A.near),Y.updateIfChanged(this.outlinesRenderable.values.uFar,A.far),Y.updateIfChanged(this.outlinesRenderable.values.uMaxPossibleViewZDiff,f),Y.update(this.renderable.values.uOutlineColor,SA.toVec3Normalized(this.renderable.values.uOutlineColor.ref.value,r.outline.params.color)),Y.updateIfChanged(this.renderable.values.uMaxPossibleViewZDiff,f),this.renderable.values.dOutlineScale.ref.value!==C&&(n=!0),Y.updateIfChanged(this.renderable.values.dOutlineScale,C)}Y.updateIfChanged(this.renderable.values.uFar,A.far),Y.updateIfChanged(this.renderable.values.uNear,A.near),Y.updateIfChanged(this.renderable.values.uFogFar,A.fogFar),Y.updateIfChanged(this.renderable.values.uFogNear,A.fogNear),Y.update(this.renderable.values.uFogColor,SA.toVec3Normalized(this.renderable.values.uFogColor.ref.value,t)),Y.updateIfChanged(this.renderable.values.uTransparentBackground,e),this.renderable.values.dOrthographic.ref.value!==a&&(n=!0),Y.updateIfChanged(this.renderable.values.dOrthographic,a),this.renderable.values.dOutlineEnable.ref.value!==s&&(n=!0),Y.updateIfChanged(this.renderable.values.dOutlineEnable,s),this.renderable.values.dOcclusionEnable.ref.value!==u&&(n=!0),Y.updateIfChanged(this.renderable.values.dOcclusionEnable,u),i&&this.ssaoRenderable.update(),o&&(this.ssaoBlurFirstPassRenderable.update(),this.ssaoBlurSecondPassRenderable.update()),n&&this.renderable.update();var p=this.webgl,m=p.gl,y=p.state;y.enable(m.SCISSOR_TEST),y.disable(m.BLEND),y.disable(m.DEPTH_TEST),y.depthMask(!1);var v=A.viewport,D=v.x,b=v.y,w=v.width,F=v.height;m.viewport(D,b,w,F),m.scissor(D,b,w,F)},A.prototype.render=function(A,e,t,r,n){if(this.updateState(A,t,r,n),"on"===n.outline.name&&(this.outlinesTarget.bind(),this.outlinesRenderable.render()),"on"===n.occlusion.name){var i=A.viewport,o=i.x,a=i.y,s=i.width,u=i.height,g=Math.floor(o*this.ssaoScale),c=Math.floor(a*this.ssaoScale),B=Math.ceil(s*this.ssaoScale),l=Math.ceil(u*this.ssaoScale);this.webgl.gl.viewport(g,c,B,l),this.webgl.gl.scissor(g,c,B,l),this.ssaoFramebuffer.bind(),this.ssaoRenderable.render(),this.ssaoBlurFirstPassFramebuffer.bind(),this.ssaoBlurFirstPassRenderable.render(),this.ssaoBlurSecondPassFramebuffer.bind(),this.ssaoBlurSecondPassRenderable.render(),this.webgl.gl.viewport(o,a,s,u),this.webgl.gl.scissor(o,a,s,u)}e?this.webgl.unbindFramebuffer():this.target.bind();var Q=this.webgl,I=Q.gl;Q.state.clearColor(0,0,0,1),I.clear(I.COLOR_BUFFER_BIT),this.renderable.render()},A}(),OT=function(){function A(A,e){this.drawPass=e;var t=e.colorTarget,r=t.getWidth(),n=t.getHeight();this.target=A.createRenderTarget(r,n,!1),this.fxaa=new wT(A,this.target.texture),this.smaa=new NT(A,this.target.texture)}return A.isEnabled=function(A){return"off"!==A.antialiasing.name},A.prototype.setSize=function(A,e){var t=this.target.texture.getWidth(),r=this.target.texture.getHeight();A===t&&e===r||(this.target.setSize(A,e),this.fxaa.setSize(A,e),this.smaa.supported&&this.smaa.setSize(A,e))},A.prototype._renderFxaa=function(A,e,t){if("fxaa"===t.antialiasing.name){var r=JT.isEnabled(t)?this.drawPass.postprocessing.target.texture:this.drawPass.colorTarget.texture;this.fxaa.update(r,t.antialiasing.params),this.fxaa.render(A.viewport,e?void 0:this.target)}},A.prototype._renderSmaa=function(A,e,t){if("smaa"===t.antialiasing.name){var r=JT.isEnabled(t)?this.drawPass.postprocessing.target.texture:this.drawPass.colorTarget.texture;this.smaa.update(r,t.antialiasing.params),this.smaa.render(A.viewport,e?void 0:this.target)}},A.prototype.render=function(A,e,t){if("off"!==t.antialiasing.name)if("fxaa"===t.antialiasing.name)this._renderFxaa(A,e,t);else if("smaa"===t.antialiasing.name){if(!this.smaa.supported)throw new Error('SMAA not supported, missing "HTMLImageElement"');this._renderSmaa(A,e,t)}},A}(),KT=w(w({},Fv),{tColor:ev("texture","rgba","ubyte","nearest"),uTexSize:Av("v2"),uWeight:Av("f")}),jT=_p("compose",dv,"\nprecision highp float;\nprecision highp sampler2D;\n\nuniform sampler2D tColor;\nuniform vec2 uTexSize;\nuniform float uWeight;\n\nvoid main() {\n    vec2 coords = gl_FragCoord.xy / uTexSize;\n    gl_FragColor = texture2D(tColor, coords) * uWeight;\n}\n"),zT={mode:ir.Select("off",[["off","Off"],["on","On"],["temporal","Temporal"]]),sampleLevel:ir.Numeric(2,{min:0,max:5,step:1})},qT=function(){function A(A,e){this.webgl=A,this.drawPass=e;var t=A.extensions,r=t.colorBufferFloat,n=t.textureFloat,i=t.colorBufferHalfFloat,o=t.textureHalfFloat,a=e.colorTarget.getWidth(),s=e.colorTarget.getHeight();this.colorTarget=A.createRenderTarget(a,s,!1);var u,g,c,B,l=i&&o?"fp16":r&&n?"float32":"uint8";this.composeTarget=A.createRenderTarget(a,s,!1,l),this.holdTarget=A.createRenderTarget(a,s,!1),this.compose=(u=A,g=e.colorTarget.texture,c=w(w({},Uv),{tColor:Y.create(g),uTexSize:Y.create(BA.create(g.getWidth(),g.getHeight())),uWeight:Y.create(1)}),B=w({},KT),bv(mv(u,"triangles",jT,B,c),c))}return A.isEnabled=function(A){return"off"!==A.mode},A.prototype.syncSize=function(){var A=this.drawPass.colorTarget.getWidth(),e=this.drawPass.colorTarget.getHeight(),t=this.compose.values.uTexSize.ref.value,r=t[0],n=t[1];A===r&&e===n||(this.colorTarget.setSize(A,e),this.composeTarget.setSize(A,e),this.holdTarget.setSize(A,e),Y.update(this.compose.values.uTexSize,BA.set(this.compose.values.uTexSize.ref.value,A,e)))},A.prototype.render=function(A,e,t,r,n,i,o,a){return"temporal"===a.multiSample.mode?this.renderTemporalMultiSample(A,e,t,r,n,i,o,a):(this.renderMultiSample(e,t,r,n,i,o,a),A)},A.prototype.bindOutputTarget=function(A){A?this.webgl.unbindFramebuffer():this.colorTarget.bind()},A.prototype.renderMultiSample=function(A,e,t,r,n,i,o){var a=this,s=a.compose,u=a.composeTarget,g=a.drawPass,c=a.webgl,B=c.gl,l=c.state,Q=ZT[Math.max(0,Math.min(o.multiSample.sampleLevel,5))],I=e.viewport,d=I.x,h=I.y,E=I.width,f=I.height,C=1/Q.length;e.viewOffset.enabled=!0,Y.update(s.values.tColor,g.getColorTarget(o.postprocessing).texture),s.update();for(var p=0;p<Q.length;++p){var m=Q[p];lT.setViewOffset(e.viewOffset,E,f,m[0],m[1],E,f),e.update();var y=C+.03125*((p+.5)/Q.length-.5);Y.update(s.values.uWeight,y),g.render(A,e,t,r,!1,i,o.postprocessing,o.marking),u.bind(),l.enable(B.BLEND),l.blendEquationSeparate(B.FUNC_ADD,B.FUNC_ADD),l.blendFuncSeparate(B.ONE,B.ONE,B.ONE,B.ONE),l.disable(B.DEPTH_TEST),l.depthMask(!1),B.viewport(d,h,E,f),B.scissor(d,h,E,f),0===p&&(l.clearColor(0,0,0,0),B.clear(B.COLOR_BUFFER_BIT)),s.render()}Y.update(s.values.uWeight,1),Y.update(s.values.tColor,u.texture),s.update(),this.bindOutputTarget(n),B.viewport(d,h,E,f),B.scissor(d,h,E,f),l.disable(B.BLEND),s.render(),e.viewOffset.enabled=!1,e.update()},A.prototype.renderTemporalMultiSample=function(A,e,t,r,n,i,o,a){var s=this,u=s.compose,g=s.composeTarget,c=s.holdTarget,B=s.drawPass,l=s.webgl,Q=l.gl,I=l.state,d=ZT[Math.max(0,Math.min(a.multiSample.sampleLevel,5))];if(-2===A||A>=d.length)return-2;var h=t.viewport,E=h.x,f=h.y,C=h.width,p=h.height,m=1/d.length;if(-1===A)B.render(e,t,r,n,!1,o,a.postprocessing,a.marking),Y.update(u.values.uWeight,1),Y.update(u.values.tColor,B.getColorTarget(a.postprocessing).texture),u.update(),c.bind(),I.disable(Q.BLEND),I.disable(Q.DEPTH_TEST),I.depthMask(!1),Q.viewport(E,f,C,p),Q.scissor(E,f,C,p),u.render(),A+=1;else{t.viewOffset.enabled=!0,Y.update(u.values.tColor,B.getColorTarget(a.postprocessing).texture),Y.update(u.values.uWeight,m),u.update();for(var y=Math.pow(2,Math.max(0,a.multiSample.sampleLevel-2)),v=0;v<y;++v){var D=d[A];if(lT.setViewOffset(t.viewOffset,C,p,D[0],D[1],C,p),t.update(),B.render(e,t,r,n,!1,o,a.postprocessing,a.marking),g.bind(),I.enable(Q.BLEND),I.blendEquationSeparate(Q.FUNC_ADD,Q.FUNC_ADD),I.blendFuncSeparate(Q.ONE,Q.ONE,Q.ONE,Q.ONE),I.disable(Q.DEPTH_TEST),I.depthMask(!1),Q.viewport(E,f,C,p),Q.scissor(E,f,C,p),0===A&&(I.clearColor(0,0,0,0),Q.clear(Q.COLOR_BUFFER_BIT)),u.render(),(A+=1)>=d.length)break}}this.bindOutputTarget(i),Q.viewport(E,f,C,p),Q.scissor(E,f,C,p);var b=A*m;return b>0&&(Y.update(u.values.uWeight,1),Y.update(u.values.tColor,g.texture),u.update(),I.disable(Q.BLEND),u.render()),b<1&&(Y.update(u.values.uWeight,1-b),Y.update(u.values.tColor,c.texture),u.update(),0===b?I.disable(Q.BLEND):I.enable(Q.BLEND),u.render()),t.viewOffset.enabled=!1,t.update(),A>=d.length?-2:A},A}(),ZT=[[[0,0]],[[4,4],[-4,-4]],[[-2,-6],[6,-2],[-6,2],[2,6]],[[1,-3],[-1,3],[5,1],[-3,-5],[-5,5],[-7,-1],[3,7],[7,-7]],[[1,1],[-1,-3],[-3,2],[4,-1],[-5,-2],[2,5],[5,3],[3,-5],[-2,6],[0,-7],[-4,-6],[-6,4],[-8,0],[7,-4],[6,7],[-7,-8]],[[-4,-7],[-7,-5],[-3,-5],[-5,-4],[-1,-4],[-2,-2],[-6,-1],[-4,0],[-7,1],[-1,2],[-6,3],[-3,3],[-7,6],[-3,6],[-5,7],[-1,7],[5,-7],[1,-6],[6,-5],[4,-4],[2,-3],[7,-2],[1,-1],[4,-1],[2,1],[6,2],[0,4],[4,4],[2,5],[7,5],[5,6],[3,7]]];ZT.forEach((function(A){A.forEach((function(A){A[0]*=.0625,A[1]*=.0625}))}));var WT=function(){function A(A){this.multiSamplePass=A,this.sampleIndex=-2}return A.prototype.update=function(A,e){return A&&(this.sampleIndex=-1),"temporal"===e.mode&&-2!==this.sampleIndex},A.prototype.render=function(A,e,t,r,n,i,o){this.sampleIndex=this.multiSamplePass.render(this.sampleIndex,A,e,t,r,n,i,o)},A}(),XT={eyeSeparation:ir.Numeric(.064,{min:.01,max:.5,step:.001}),focus:ir.Numeric(10,{min:1,max:100,step:.01})},$T=ir.getDefaultValues(XT),AP=function(){function A(A,e){void 0===e&&(e={}),this.parent=A,this.left=new eP,this.right=new eP,this.props=w(w({},$T),e)}return Object.defineProperty(A.prototype,"viewport",{get:function(){return this.parent.viewport},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"viewOffset",{get:function(){return this.parent.viewOffset},enumerable:!1,configurable:!0}),A.prototype.setProps=function(A){Object.assign(this.props,A)},A.prototype.update=function(){this.parent.update(),function(A,e,t,r){_V.copy(t.viewport,A.viewport),nA.copy(t.view,A.view),nA.copy(t.projection,A.projection),lT.copySnapshot(t.state,A.state),lT.copyViewOffset(t.viewOffset,A.viewOffset),t.far=A.far,t.near=A.near,t.fogFar=A.fogFar,t.fogNear=A.fogNear,_V.copy(r.viewport,A.viewport),nA.copy(r.view,A.view),nA.copy(r.projection,A.projection),lT.copySnapshot(r.state,A.state),lT.copyViewOffset(r.viewOffset,A.viewOffset),r.far=A.far,r.near=A.near,r.fogFar=A.fogFar,r.fogNear=A.fogNear;var n=Math.floor(A.viewport.width/2),i=n/A.viewport.height;t.viewport.width=n,r.viewport.x+=n,r.viewport.width-=n;var o,a,s=e.eyeSeparation/2,u=s*A.near/e.focus,g=A.near*Math.tan(.5*A.state.fov);tP[12]=-s,rP[12]=s,o=-g*i+u,a=g*i+u,t.projection[0]=2*A.near/(a-o),t.projection[8]=(a+o)/(a-o),nA.mul(t.view,t.view,tP),nA.mul(t.projectionView,t.projection,t.view),nA.invert(t.inverseProjectionView,t.projectionView),o=-g*i-u,a=g*i-u,r.projection[0]=2*A.near/(a-o),r.projection[8]=(a+o)/(a-o),nA.mul(r.view,r.view,rP),nA.mul(r.projectionView,r.projection,r.view),nA.invert(r.inverseProjectionView,r.projectionView)}(this.parent,this.props,this.left,this.right)},A}();!function(A){A.is=function(A){return"left"in A&&"right"in A}}(AP||(AP={}));var eP=function(){this.viewport=_V.create(0,0,0,0),this.view=nA(),this.projection=nA(),this.projectionView=nA(),this.inverseProjectionView=nA(),this.state=lT.createDefaultSnapshot(),this.viewOffset=lT.ViewOffset(),this.far=0,this.near=0,this.fogFar=0,this.fogNear=0},tP=nA.identity(),rP=nA.identity(),nP=Math.pow(2,24)-2,iP=function(){function A(A,e,t){this.webgl=A,this.drawPass=e,this.pickBaseScale=t;var r=t/A.pixelRatio;this.pickWidth=Math.ceil(e.colorTarget.getWidth()*r),this.pickHeight=Math.ceil(e.colorTarget.getHeight()*r),this.objectPickTarget=A.createRenderTarget(this.pickWidth,this.pickHeight),this.instancePickTarget=A.createRenderTarget(this.pickWidth,this.pickHeight),this.groupPickTarget=A.createRenderTarget(this.pickWidth,this.pickHeight),this.depthPickTarget=A.createRenderTarget(this.pickWidth,this.pickHeight)}return Object.defineProperty(A.prototype,"drawingBufferHeight",{get:function(){return this.drawPass.colorTarget.getHeight()},enumerable:!1,configurable:!0}),A.prototype.syncSize=function(){var A=this.pickBaseScale/this.webgl.pixelRatio,e=Math.ceil(this.drawPass.colorTarget.getWidth()*A),t=Math.ceil(this.drawPass.colorTarget.getHeight()*A);e===this.pickWidth&&t===this.pickHeight||(this.pickWidth=e,this.pickHeight=t,this.objectPickTarget.setSize(this.pickWidth,this.pickHeight),this.instancePickTarget.setSize(this.pickWidth,this.pickHeight),this.groupPickTarget.setSize(this.pickWidth,this.pickHeight),this.depthPickTarget.setSize(this.pickWidth,this.pickHeight))},A.prototype.renderVariant=function(A,e,t,r,n){var i=this.drawPass.depthTexturePrimitives;A.clear(!1),A.update(e),A.renderPick(t.primitives,e,n,null),A.renderPick(t.volumes,e,n,i),A.renderPick(r.handle.scene,e,n,null),r.camera.isEnabled&&(r.camera.update(e),A.update(r.camera.camera),A.renderPick(r.camera.scene,r.camera.camera,n,null))},A.prototype.render=function(A,e,t,r){this.objectPickTarget.bind(),this.renderVariant(A,e,t,r,"pickObject"),this.instancePickTarget.bind(),this.renderVariant(A,e,t,r,"pickInstance"),this.groupPickTarget.bind(),this.renderVariant(A,e,t,r,"pickGroup"),this.depthPickTarget.bind(),this.renderVariant(A,e,t,r,"depth")},A}(),oP=function(){function A(A,e,t,r,n,i,o){void 0===o&&(o=1),this.webgl=A,this.renderer=e,this.scene=t,this.helper=r,this.pickPass=n,this.pickPadding=o,this.dirty=!0,this.viewport=_V(),this.setViewport(i.x,i.y,i.width,i.height)}return A.prototype.setupBuffers=function(){var A=this.pickWidth*this.pickHeight*4;this.objectBuffer&&this.objectBuffer.length===A||(this.objectBuffer=new Uint8Array(A),this.instanceBuffer=new Uint8Array(A),this.groupBuffer=new Uint8Array(A),this.depthBuffer=new Uint8Array(A))},A.prototype.setViewport=function(A,e,t,r){_V.set(this.viewport,A,e,t,r),this.pickScale=this.pickPass.pickBaseScale/this.webgl.pixelRatio,this.pickX=Math.ceil(A*this.pickScale),this.pickY=Math.ceil(e*this.pickScale);var n=Math.floor(t*this.pickScale),i=Math.floor(r*this.pickScale);n===this.pickWidth&&i===this.pickHeight||(this.pickWidth=n,this.pickHeight=i,this.halfPickWidth=Math.floor(this.pickWidth/2),this.setupBuffers()),this.spiral=function(A){for(var e,t=0,r=0,n=[0,-1],i=2*A+1,o=i/2,a=[],s=Math.pow(i,2);s>0;--s)-o<t&&t<=o&&-o<r&&r<=o&&a.push([t,r]),(t===r||t<0&&t===-r||t>0&&t===1-r)&&(e=[-n[1],n[0]],n[0]=e[0],n[1]=e[1]),t+=n[0],r+=n[1];return a}(Math.round(this.pickScale*this.pickPadding))},A.prototype.syncBuffers=function(){var A=this,e=A.pickX,t=A.pickY,r=A.pickWidth,n=A.pickHeight;this.pickPass.objectPickTarget.bind(),this.webgl.readPixels(e,t,r,n,this.objectBuffer),this.pickPass.instancePickTarget.bind(),this.webgl.readPixels(e,t,r,n,this.instanceBuffer),this.pickPass.groupPickTarget.bind(),this.webgl.readPixels(e,t,r,n,this.groupBuffer),this.pickPass.depthPickTarget.bind(),this.webgl.readPixels(e,t,r,n,this.depthBuffer)},A.prototype.getBufferIdx=function(A,e){return 4*(e*this.pickWidth+A)},A.prototype.getDepth=function(A,e){var t=this.getBufferIdx(A,e),r=this.depthBuffer;return function(A,e,t,r){return lA.set(fp,A/255,e/255,t/255,r/255),lA.dot(fp,Ep)}(r[t],r[t+1],r[t+2],r[t+3])},A.prototype.getId=function(A,e,t){var r=this.getBufferIdx(A,e);return Ip(t[r],t[r+1],t[r+2])},A.prototype.render=function(A){var e=this,t=e.pickX,r=e.pickY,n=e.pickWidth,i=e.pickHeight,o=e.halfPickWidth,a=this,s=a.renderer,u=a.scene,g=a.helper;s.setTransparentBackground(!1),s.setDrawingBufferSize(this.pickPass.objectPickTarget.getWidth(),this.pickPass.objectPickTarget.getHeight()),s.setPixelRatio(this.pickScale),AP.is(A)?(s.setViewport(t,r,o,i),this.pickPass.render(s,A.left,u,g),s.setViewport(t+o,r,n-o,i),this.pickPass.render(s,A.right,u,g)):(s.setViewport(t,r,n,i),this.pickPass.render(s,A,u,g)),this.dirty=!1},A.prototype.identifyInternal=function(A,e,t){var r=this.webgl,n=this.pickScale;if(!r.isContextLost){A*=r.pixelRatio,e*=r.pixelRatio,e=this.pickPass.drawingBufferHeight-e;var i=this.viewport;if(!(A<i.x||e<i.y||A>i.x+i.width||e>i.y+i.height)){this.dirty&&(this.render(t),this.syncBuffers());var o=A-i.x,a=e-i.y,s=Math.floor(o*n),u=Math.floor(a*n),g=this.getId(s,u,this.objectBuffer);if(-1!==g&&g!==nP){var c=this.getId(s,u,this.instanceBuffer);if(-1!==c&&c!==nP){var B=this.getId(s,u,this.groupBuffer);if(-1!==B&&B!==nP){var l=this.getDepth(s,u),Q=gA.create(A,i.height-e,l);if(AP.is(t)){var I=Math.floor(i.width/2);A>i.x+I?(Q[0]=i.x+2*(o-I),TV(Q,Q,i,t.right.inverseProjectionView)):(Q[0]=i.x+2*o,TV(Q,Q,i,t.left.inverseProjectionView))}else TV(Q,Q,i,t.inverseProjectionView);return{id:{objectId:g,instanceId:c,groupId:B},position:Q}}}}}}},A.prototype.identify=function(A,e,t){for(var r=0,n=this.spiral;r<n.length;r++){var i=n[r],o=this.identifyInternal(A+i[0],e+i[1],t);if(o)return o}},A}(),aP=w(w({},Fv),{tWboitA:ev("texture","rgba","float","nearest"),tWboitB:ev("texture","rgba","float","nearest"),uTexSize:Av("v2")}),sP=_p("evaluate-wboit",dv,"\nprecision highp float;\n\nuniform sampler2D tWboitA;\nuniform sampler2D tWboitB;\nuniform vec2 uTexSize;\n\nvoid main() {\n    vec2 coords = gl_FragCoord.xy / uTexSize;\n\n    vec4 accum = texture2D(tWboitA, coords);\n    float r = 1.0 - accum.a;\n\n    accum.a = texture2D(tWboitB, coords).r;\n    // divisor needs to allow very small values for nice fading\n    gl_FragColor = vec4(accum.rgb / clamp(accum.a, 0.00000001, 50000.0), r);\n}\n"),uP=function(){function A(e,t,r){if(this.webgl=e,this._supported=!1,A.isSupported(e)){var n,i,o,a,s,u=e.resources;this.textureA=u.texture("image-float32","rgba","float","nearest"),this.textureA.define(t,r),this.textureB=u.texture("image-float32","rgba","float","nearest"),this.textureB.define(t,r),this.renderable=(n=e,i=this.textureA,o=this.textureB,a=w(w({},Uv),{tWboitA:Y.create(i),tWboitB:Y.create(o),uTexSize:Y.create(BA.create(i.getWidth(),i.getHeight()))}),s=w({},aP),bv(mv(n,"triangles",sP,s,a),a)),this.framebuffer=u.framebuffer(),this._supported=!0,this._init()}}return Object.defineProperty(A.prototype,"supported",{get:function(){return this._supported},enumerable:!1,configurable:!0}),A.prototype.bind=function(){var A=this.webgl,e=A.state,t=A.gl;this.framebuffer.bind(),e.clearColor(0,0,0,1),t.clear(t.COLOR_BUFFER_BIT),e.disable(t.DEPTH_TEST),e.blendFuncSeparate(t.ONE,t.ONE,t.ZERO,t.ONE_MINUS_SRC_ALPHA),e.enable(t.BLEND)},A.prototype.render=function(){var A=this.webgl,e=A.state,t=A.gl;e.blendFuncSeparate(t.SRC_ALPHA,t.ONE_MINUS_SRC_ALPHA,t.ONE,t.ONE_MINUS_SRC_ALPHA),e.enable(t.BLEND),this.renderable.update(),this.renderable.render()},A.prototype.setSize=function(A,e){var t=this.renderable.values.uTexSize.ref.value,r=t[0],n=t[1];A===r&&e===n||(this.textureA.define(A,e),this.textureB.define(A,e),Y.update(this.renderable.values.uTexSize,BA.set(this.renderable.values.uTexSize.ref.value,A,e)))},A.prototype.reset=function(){this._supported&&this._init()},A.prototype._init=function(){var A=this.webgl.extensions.drawBuffers;this.framebuffer.bind(),A.drawBuffers([A.COLOR_ATTACHMENT0,A.COLOR_ATTACHMENT1]),this.textureA.attachFramebuffer(this.framebuffer,"color0"),this.textureB.attachFramebuffer(this.framebuffer,"color1")},A.isSupported=function(A){var e=A.extensions,t=e.drawBuffers,r=e.textureFloat,n=e.colorBufferFloat,i=e.depthTexture;if(r&&n&&i&&t)return!0;if(Fe){var o=[];r||o.push("textureFloat"),n||o.push("colorBufferFloat"),i||o.push("depthTexture"),t||o.push("drawBuffers"),console.log('Missing "'.concat(o.join('", "'),'" extensions required for "wboit"'))}return!1},A}(),gP={enabled:ir.Boolean(!1),highlightEdgeColor:ir.Color(SA.darken(SA.fromNormalizedRgb(1,.4,.6),1)),selectEdgeColor:ir.Color(SA.darken(SA.fromNormalizedRgb(.2,1,.1),1)),edgeScale:ir.Numeric(1,{min:1,max:3,step:1},{description:"Thickness of the edge."}),ghostEdgeStrength:ir.Numeric(.3,{min:0,max:1,step:.1},{description:"Opacity of the hidden edges that are covered by other geometry. When set to 1, one less geometry render pass is done."}),innerEdgeFactor:ir.Numeric(1.5,{min:0,max:3,step:.1},{description:"Factor to multiply the inner edge color with - for added contrast."})},cP=function(){function A(A,e,t){this.webgl=A,this.depthTarget=A.createRenderTarget(e,t),this.maskTarget=A.createRenderTarget(e,t),this.edgesTarget=A.createRenderTarget(e,t),this.edge=function(A,e){var t=e.getWidth(),r=e.getHeight(),n=w(w({},Uv),{tMaskTexture:Y.create(e),uTexSizeInv:Y.create(BA.create(1/t,1/r)),dEdgeScale:Y.create(1)}),i=w({},BP);return bv(mv(A,"triangles",lP,i,n),n)}(A,this.maskTarget.texture),this.overlay=function(A,e){var t=e.getWidth(),r=e.getHeight(),n=w(w({},Uv),{tEdgeTexture:Y.create(e),uTexSizeInv:Y.create(BA.create(1/t,1/r)),uHighlightEdgeColor:Y.create(gA()),uSelectEdgeColor:Y.create(gA()),uGhostEdgeStrength:Y.create(0),uInnerEdgeFactor:Y.create(0)}),i=w({},QP);return bv(mv(A,"triangles",IP,i,n),n)}(A,this.edgesTarget.texture)}return A.isEnabled=function(A){return A.enabled},A.prototype.setEdgeState=function(A){var e=this.webgl,t=e.gl,r=e.state;r.enable(t.SCISSOR_TEST),r.enable(t.BLEND),r.blendFunc(t.ONE,t.ONE),r.blendEquation(t.FUNC_ADD),r.disable(t.DEPTH_TEST),r.depthMask(!1);var n=A.x,i=A.y,o=A.width,a=A.height;t.viewport(n,i,o,a),t.scissor(n,i,o,a),r.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT)},A.prototype.setOverlayState=function(A){var e=this.webgl,t=e.gl,r=e.state;r.enable(t.SCISSOR_TEST),r.enable(t.BLEND),r.blendFunc(t.SRC_ALPHA,t.ONE_MINUS_SRC_ALPHA),r.blendEquation(t.FUNC_ADD),r.disable(t.DEPTH_TEST),r.depthMask(!1);var n=A.x,i=A.y,o=A.width,a=A.height;t.viewport(n,i,o,a),t.scissor(n,i,o,a)},A.prototype.setSize=function(A,e){var t=this.depthTarget.getWidth(),r=this.depthTarget.getHeight();A===t&&e===r||(this.depthTarget.setSize(A,e),this.maskTarget.setSize(A,e),this.edgesTarget.setSize(A,e),Y.update(this.edge.values.uTexSizeInv,BA.set(this.edge.values.uTexSizeInv.ref.value,1/A,1/e)),Y.update(this.overlay.values.uTexSizeInv,BA.set(this.overlay.values.uTexSizeInv.ref.value,1/A,1/e)))},A.prototype.update=function(A){var e=A.highlightEdgeColor,t=A.selectEdgeColor,r=A.edgeScale,n=A.innerEdgeFactor,i=A.ghostEdgeStrength,o=this.edge.values,a=Math.round(r*this.webgl.pixelRatio);o.dEdgeScale.ref.value!==a&&(Y.update(o.dEdgeScale,a),this.edge.update());var s=this.overlay.values;Y.update(s.uHighlightEdgeColor,SA.toVec3Normalized(s.uHighlightEdgeColor.ref.value,e)),Y.update(s.uSelectEdgeColor,SA.toVec3Normalized(s.uSelectEdgeColor.ref.value,t)),Y.update(s.uInnerEdgeFactor,n),Y.update(s.uGhostEdgeStrength,i)},A.prototype.render=function(A,e){this.edgesTarget.bind(),this.setEdgeState(A),this.edge.render(),e?e.bind():this.webgl.unbindFramebuffer(),this.setOverlayState(A),this.overlay.render()},A}(),BP=w(w({},Fv),{tMaskTexture:ev("texture","rgba","ubyte","linear"),uTexSizeInv:Av("v2"),dEdgeScale:rv("number")}),lP=_p("edge",dv,"\nprecision highp float;\nprecision highp sampler2D;\n\nuniform sampler2D tMaskTexture;\nuniform vec2 uTexSizeInv;\n\nvoid main() {\n    vec2 coords = gl_FragCoord.xy * uTexSizeInv;\n    vec4 offset = vec4(float(dEdgeScale), 0.0, 0.0, float(dEdgeScale)) * vec4(uTexSizeInv, uTexSizeInv);\n    vec4 c0 = texture2D(tMaskTexture, coords);\n    vec4 c1 = texture2D(tMaskTexture, coords + offset.xy);\n    vec4 c2 = texture2D(tMaskTexture, coords - offset.xy);\n    vec4 c3 = texture2D(tMaskTexture, coords + offset.yw);\n    vec4 c4 = texture2D(tMaskTexture, coords - offset.yw);\n    float diff1 = (c1.r - c2.r) * 0.5;\n    float diff2 = (c3.r - c4.r) * 0.5;\n    float d = length(vec2(diff1, diff2));\n    if (d <= 0.0)\n        discard;\n    float a1 = min(c1.g, c2.g);\n    float a2 = min(c3.g, c4.g);\n    float visibility = min(a1, a2) > 0.001 ? 1.0 : 0.0;\n    float mask = c0.r;\n    float marker = min(c1.b, min(c2.b, min(c3.b, c4.b)));\n    float fogAlpha = min(c1.a, min(c2.a, min(c3.a, c4.a)));\n    gl_FragColor = vec4(visibility, mask, marker, fogAlpha);\n}\n"),QP=w(w({},Fv),{tEdgeTexture:ev("texture","rgba","ubyte","linear"),uTexSizeInv:Av("v2"),uHighlightEdgeColor:Av("v3"),uSelectEdgeColor:Av("v3"),uGhostEdgeStrength:Av("f"),uInnerEdgeFactor:Av("f")}),IP=_p("overlay",dv,"\nprecision highp float;\nprecision highp sampler2D;\n\nuniform vec2 uTexSizeInv;\nuniform sampler2D tEdgeTexture;\nuniform vec3 uHighlightEdgeColor;\nuniform vec3 uSelectEdgeColor;\nuniform float uGhostEdgeStrength;\nuniform float uInnerEdgeFactor;\n\nvoid main() {\n    vec2 coords = gl_FragCoord.xy * uTexSizeInv;\n    vec4 edgeValue = texture2D(tEdgeTexture, coords);\n    if (edgeValue.a > 0.0) {\n        vec3 edgeColor = edgeValue.b == 1.0 ? uHighlightEdgeColor : uSelectEdgeColor;\n        gl_FragColor.rgb = edgeValue.g > 0.0 ? edgeColor : edgeColor * uInnerEdgeFactor;\n        gl_FragColor.a = (edgeValue.r == 1.0 ? uGhostEdgeStrength : 1.0) * edgeValue.a;\n    } else {\n        gl_FragColor = vec4(0.0);\n    }\n}\n"),dP=w(w({},Fv),{tDepthPrimitives:ev("texture","depth","ushort","nearest"),tDepthVolumes:ev("texture","depth","ushort","nearest"),uTexSize:Av("v2"),dPackedDepth:rv("boolean")}),hP=_p("depth-merge",dv,"\nprecision highp float;\nprecision highp sampler2D;\n\nuniform sampler2D tDepthPrimitives;\nuniform sampler2D tDepthVolumes;\nuniform vec2 uTexSize;\n\n#include common\n\nfloat getDepth(const in vec2 coords, sampler2D tDepth) {\n    #ifdef dPackedDepth\n        return unpackRGBAToDepth(texture2D(tDepth, coords));\n    #else\n        return texture2D(tDepth, coords).r;\n    #endif\n}\n\nvoid main() {\n    vec2 coords = gl_FragCoord.xy / uTexSize;\n    float depth = min(getDepth(coords, tDepthPrimitives), getDepth(coords, tDepthVolumes));\n    gl_FragColor = packDepthToRGBA(depth);\n}\n"),EP=function(){function A(A,e,t,r){this.webgl=A;var n,i,o,a,s,u,g,c=A.extensions,B=A.resources,l=A.isWebGL2;this.drawTarget=(n=A.gl,{id:vm(),texture:Jm(n),framebuffer:{id:bp(),bind:function(){},reset:function(){},destroy:function(){}},getWidth:function(){return 0},getHeight:function(){return 0},bind:function(){n.bindFramebuffer(n.FRAMEBUFFER,null)},setSize:function(){},reset:function(){},destroy:function(){}}),this.colorTarget=A.createRenderTarget(e,t,!0,"uint8","linear"),this.packedDepth=!c.depthTexture,this.depthTarget=A.createRenderTarget(e,t),this.depthTexture=this.depthTarget.texture,this.depthTargetPrimitives=this.packedDepth?A.createRenderTarget(e,t):null,this.depthTargetVolumes=this.packedDepth?A.createRenderTarget(e,t):null,this.depthTexturePrimitives=this.depthTargetPrimitives?this.depthTargetPrimitives.texture:B.texture("image-depth","depth",l?"float":"ushort","nearest"),this.depthTextureVolumes=this.depthTargetVolumes?this.depthTargetVolumes.texture:B.texture("image-depth","depth",l?"float":"ushort","nearest"),this.packedDepth||(this.depthTexturePrimitives.define(e,t),this.depthTextureVolumes.define(e,t)),this.depthMerge=(i=A,o=this.depthTexturePrimitives,a=this.depthTextureVolumes,s=this.packedDepth,u=w(w({},Uv),{tDepthPrimitives:Y.create(o),tDepthVolumes:Y.create(a),uTexSize:Y.create(BA.create(o.getWidth(),o.getHeight())),dPackedDepth:Y.create(s)}),g=w({},dP),bv(mv(i,"triangles",hP,g,u),u)),this.wboit=r?new uP(A,e,t):void 0,this.marking=new cP(A,e,t),this.postprocessing=new JT(A,this),this.antialiasing=new OT(A,this),this.copyFboTarget=Rv(A,this.colorTarget.texture),this.copyFboPostprocessing=Rv(A,this.postprocessing.target.texture)}return Object.defineProperty(A.prototype,"wboitEnabled",{get:function(){var A;return!!(null===(A=this.wboit)||void 0===A?void 0:A.supported)},enumerable:!1,configurable:!0}),A.prototype.reset=function(){var A;null===(A=this.wboit)||void 0===A||A.reset()},A.prototype.setSize=function(A,e){var t,r=this.colorTarget.getWidth(),n=this.colorTarget.getHeight();A===r&&e===n||(this.colorTarget.setSize(A,e),this.depthTarget.setSize(A,e),this.depthTargetPrimitives?this.depthTargetPrimitives.setSize(A,e):this.depthTexturePrimitives.define(A,e),this.depthTargetVolumes?this.depthTargetVolumes.setSize(A,e):this.depthTextureVolumes.define(A,e),Y.update(this.depthMerge.values.uTexSize,BA.set(this.depthMerge.values.uTexSize.ref.value,A,e)),Y.update(this.copyFboTarget.values.uTexSize,BA.set(this.copyFboTarget.values.uTexSize.ref.value,A,e)),Y.update(this.copyFboPostprocessing.values.uTexSize,BA.set(this.copyFboPostprocessing.values.uTexSize.ref.value,A,e)),(null===(t=this.wboit)||void 0===t?void 0:t.supported)&&this.wboit.setSize(A,e),this.marking.setSize(A,e),this.postprocessing.setSize(A,e),this.antialiasing.setSize(A,e))},A.prototype._depthMerge=function(){var A=this.webgl,e=A.state,t=A.gl;this.depthMerge.update(),this.depthTarget.bind(),e.disable(t.BLEND),e.disable(t.DEPTH_TEST),e.disable(t.CULL_FACE),e.depthMask(!1),e.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT),this.depthMerge.render()},A.prototype._renderWboit=function(A,e,t,r,n){var i;if(!(null===(i=this.wboit)||void 0===i?void 0:i.supported))throw new Error("expected wboit to be supported");this.colorTarget.bind(),A.clear(!0),this.depthTexturePrimitives.attachFramebuffer(this.colorTarget.framebuffer,"depth"),this.colorTarget.bind(),A.clearDepth(),A.renderWboitOpaque(t.primitives,e,null),this.depthTextureVolumes.attachFramebuffer(this.colorTarget.framebuffer,"depth"),this.colorTarget.bind(),A.clearDepth(),A.renderWboitOpaque(t.volumes,e,this.depthTexturePrimitives),this._depthMerge(),JT.isEnabled(n)&&this.postprocessing.render(e,!1,r,A.props.backgroundColor,n),this.wboit.bind(),A.renderWboitTransparent(t.primitives,e,this.depthTexture),A.renderWboitTransparent(t.volumes,e,this.depthTexture),JT.isEnabled(n)?(this.depthTexturePrimitives.attachFramebuffer(this.postprocessing.target.framebuffer,"depth"),this.postprocessing.target.bind()):(this.depthTexturePrimitives.attachFramebuffer(this.colorTarget.framebuffer,"depth"),this.colorTarget.bind()),this.wboit.render()},A.prototype._renderBlended=function(A,e,t,r,n,i){if(r?this.drawTarget.bind():(this.colorTarget.bind(),this.packedDepth||this.depthTexturePrimitives.attachFramebuffer(this.colorTarget.framebuffer,"depth")),A.clear(!0),A.renderBlendedOpaque(t.primitives,e,null),!r){this.depthTargetPrimitives&&(this.depthTargetPrimitives.bind(),A.clear(!1),A.renderDepth(t.primitives,e,null),this.colorTarget.bind()),this.packedDepth||(this.depthTextureVolumes.attachFramebuffer(this.colorTarget.framebuffer,"depth"),A.clearDepth()),A.renderBlendedVolumeOpaque(t.volumes,e,this.depthTexturePrimitives),this.depthTargetVolumes&&(this.depthTargetVolumes.bind(),A.clear(!1),A.renderDepth(t.volumes,e,this.depthTexturePrimitives),this.colorTarget.bind()),this._depthMerge(),this.colorTarget.bind(),JT.isEnabled(i)&&this.postprocessing.render(e,!1,n,A.props.backgroundColor,i),A.renderBlendedVolumeTransparent(t.volumes,e,this.depthTexturePrimitives);var o=JT.isEnabled(i)?this.postprocessing.target:this.colorTarget;this.packedDepth||this.depthTexturePrimitives.attachFramebuffer(o.framebuffer,"depth"),o.bind()}A.renderBlendedTransparent(t.primitives,e,null)},A.prototype._render=function(A,e,t,r,n,i,o,a){var s=t.volumes.renderables.length>0,u=JT.isEnabled(o),g=OT.isEnabled(o),c=cP.isEnabled(a),B=e.viewport,l=B.x,Q=B.y,I=B.width,d=B.height;if(A.setViewport(l,Q,I,d),A.update(e),i&&!g&&n&&(this.drawTarget.bind(),A.clear(!1)),this.wboitEnabled?this._renderWboit(A,e,t,i,o):this._renderBlended(A,e,t,!s&&!u&&!g&&n,i,o),u?this.postprocessing.target.bind():!n||s||this.wboitEnabled?this.colorTarget.bind():this.drawTarget.bind(),c){var h=a.ghostEdgeStrength<1;h&&(this.marking.depthTarget.bind(),A.clear(!1),A.renderMarkingDepth(t.primitives,e,null)),this.marking.maskTarget.bind(),A.clear(!1),A.renderMarkingMask(t.primitives,e,h?this.marking.depthTarget.texture:null),this.marking.update(a),this.marking.render(e.viewport,u?this.postprocessing.target:this.colorTarget)}r.debug.isEnabled&&(r.debug.syncVisibility(),A.renderBlended(r.debug.scene,e,null)),r.handle.isEnabled&&A.renderBlended(r.handle.scene,e,null),r.camera.isEnabled&&(r.camera.update(e),A.update(r.camera.camera),A.renderBlended(r.camera.scene,r.camera.camera,null)),g?this.antialiasing.render(e,n,o):n&&(this.drawTarget.bind(),this.webgl.state.disable(this.webgl.gl.DEPTH_TEST),u?this.copyFboPostprocessing.render():(s||this.wboitEnabled)&&this.copyFboTarget.render()),this.webgl.gl.flush()},A.prototype.render=function(A,e,t,r,n,i,o,a){A.setTransparentBackground(i),A.setDrawingBufferSize(this.colorTarget.getWidth(),this.colorTarget.getHeight()),A.setPixelRatio(this.webgl.pixelRatio),AP.is(e)?(this._render(A,e.left,t,r,n,i,o,a),this._render(A,e.right,t,r,n,i,o,a)):this._render(A,e,t,r,n,i,o,a)},A.prototype.getColorTarget=function(A){return OT.isEnabled(A)?this.antialiasing.target:JT.isEnabled(A)?this.postprocessing.target:this.colorTarget},A}(),fP=w(w({},Yv.Params),{alpha:w(w({},Yv.Params.alpha),{defaultValue:.51}),ignoreLight:w(w({},Yv.Params.ignoreLight),{defaultValue:!0}),colorX:ir.Color(Rr.red,{isEssential:!0}),colorY:ir.Color(Rr.green,{isEssential:!0}),colorZ:ir.Color(Rr.blue,{isEssential:!0}),scale:ir.Numeric(.33,{min:.1,max:2,step:.1},{isEssential:!0})}),CP={axes:ir.MappedStatic("on",{on:ir.Group(fP),off:ir.Group({})},{cycle:!0,description:"Show camera orientation axes"})},pP=function(){function A(A,e){var t=this;void 0===e&&(e={}),this.webgl=A,this.props={axes:{name:"off",params:{}}},this.eachGroup=function(A,e){if(!t.renderObject)return!1;if(!mP(A))return!1;for(var r=!1,n=t.renderObject.values.uGroupCount.ref.value,i=0,o=A.elements;i<o.length;i++){var a=o[i],s=a.groupId,u=a.instanceId*n+s;e(qr.ofSingleton(u))&&(r=!0)}return r},this.scene=nT.create(A),this.camera=new lT,gA.set(this.camera.up,0,1,0),gA.set(this.camera.target,0,0,0),this.setProps(e)}return A.prototype.setProps=function(A){var e=this;this.props=NE(this.props,(function(t){if(void 0!==A.axes&&(t.axes.name=A.axes.name,"on"===A.axes.name)){e.scene.clear();var r=w(w({},A.axes.params),{scale:A.axes.params.scale*e.webgl.pixelRatio});e.renderObject=function(A){var e=function(A,e){var t=100*A.scale,r=function(A,e){var t=kD.createState(512,256,undefined),r=.075*A,n=gA.scale(gA(),gA.unitX,A),i=gA.scale(gA(),gA.unitY,A),o=gA.scale(gA(),gA.unitZ,A),a={radiusTop:r,radiusBottom:r,radialSegments:32};t.currentGroup=0,oD(t,gA.origin,r,2),t.currentGroup=1,oD(t,n,r,2),MD(t,gA.origin,n,1,a),t.currentGroup=2,oD(t,i,r,2),MD(t,gA.origin,i,1,a),t.currentGroup=3,oD(t,o,r,2),MD(t,gA.origin,o,1,a),gA.scale(n,n,.5),gA.scale(i,i,.5),gA.scale(o,o,.5),t.currentGroup=4,kD.addTriangle(t,gA.origin,n,i),kD.addTriangle(t,gA.origin,i,n);var s=gA.add(gA(),n,i);kD.addTriangle(t,s,n,i),kD.addTriangle(t,s,i,n),t.currentGroup=5,kD.addTriangle(t,gA.origin,n,o),kD.addTriangle(t,gA.origin,o,n);var u=gA.add(gA(),n,o);kD.addTriangle(t,u,n,o),kD.addTriangle(t,u,o,n),t.currentGroup=6,kD.addTriangle(t,gA.origin,i,o),kD.addTriangle(t,gA.origin,o,i);var g=gA.add(gA(),i,o);return kD.addTriangle(t,g,i,o),kD.addTriangle(t,g,o,i),kD.getMesh(t)}(t);r.setBoundingSphere(Ss.create(gA.create(t/2,t/2,t/2),t+t/4));return ib.create("axes",{},r,(function(e){switch(e){case 1:return A.colorX;case 2:return A.colorY;case 3:return A.colorZ;default:return Rr.grey}}),(function(){return 1}),(function(){return""}))}(A);return ib.createRenderObject(e,A)}(r),e.renderObject.state.noClip=!0,e.scene.add(e.renderObject),e.scene.commit(),gA.set(e.camera.position,0,0,200*r.scale),nA.lookAt(e.camera.view,e.camera.position,e.camera.target,e.camera.up),t.axes.params=w({},A.axes.params)}}))},Object.defineProperty(A.prototype,"isEnabled",{get:function(){return"on"===this.props.axes.name},enumerable:!1,configurable:!0}),A.prototype.getLoci=function(A){var e=A.objectId,t=A.groupId,r=A.instanceId;return this.renderObject&&e===this.renderObject.id&&0!==t?function(A,e,t){return KN("camera-axes",A,[{groupId:e,instanceId:t}],void 0,(function(){return function(A){switch(A){case 1:return"X Axis";case 2:return"Y Axis";case 3:return"Z Axis";case 4:return"XY Plane";case 5:return"XZ Plane";case 6:return"YZ Plane";default:return"Axes"}}(e)}))}(this,t,r):PN},A.prototype.mark=function(A,e){return!!RN.is(RN.Highlighting,e)&&!!mP(A)&&A.data===this&&QR.mark(this.renderObject,A,e,this.eachGroup)},A.prototype.update=function(A){if(this.renderObject){!function(A,e,t){var r=A.near,n=A.far,i=-e.width/2,o=e.width/2,a=e.height/2,s=-e.height/2,u=(o-i)/2,g=(a-s)/2,c=(o+i)/2,B=(a+s)/2,l=c-u,Q=c+u,I=B+g,d=B-g;if(t.enabled){var h=(o-i)/t.width,E=(a-s)/t.height;Q=(l+=h*t.offsetX)+h*t.width,d=(I-=E*t.offsetY)-E*t.height}nA.ortho(A.projection,l,Q,I,d,r,n)}(this.camera,A.viewport,A.viewOffset),nA.extractRotation(this.scene.view,A.view);var e=this.renderObject.values.boundingSphere.ref.value.radius;nA.setTranslation(this.scene.view,gA.create(-A.viewport.width/2+e,-A.viewport.height/2+e,0))}},A}();function mP(A){return"data-loci"===A.kind&&"camera-axes"===A.tag}var yP={transparentBackground:ir.Boolean(!1),multiSample:ir.Group(zT),postprocessing:ir.Group(PT),marking:ir.Group(gP),cameraHelper:ir.Group(CP)},vP=function(){function A(A,e,t,r,n,i,o){this.webgl=A,this.renderer=e,this.scene=t,this.camera=r,this._width=0,this._height=0,this._camera=new lT,this.props=w(w({},ir.getDefaultValues(yP)),o),this.drawPass=new EP(A,128,128,i),this.multiSamplePass=new qT(A,this.drawPass),this.multiSampleHelper=new WT(this.multiSamplePass),this.helper={camera:new pP(A,this.props.cameraHelper),debug:n.debug,handle:n.handle},this.setSize(1024,768)}return Object.defineProperty(A.prototype,"colorTarget",{get:function(){return this._colorTarget},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"width",{get:function(){return this._width},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"height",{get:function(){return this._height},enumerable:!1,configurable:!0}),A.prototype.setSize=function(A,e){A===this._width&&e===this._height||(this._width=A,this._height=e,this.drawPass.setSize(A,e),this.multiSamplePass.syncSize())},A.prototype.setProps=function(A){void 0===A&&(A={}),Object.assign(this.props,A),A.cameraHelper&&this.helper.camera.setProps(A.cameraHelper)},A.prototype.render=function(){lT.copySnapshot(this._camera.state,this.camera.state),_V.set(this._camera.viewport,0,0,this._width,this._height),this._camera.update(),qT.isEnabled(this.props.multiSample)?(this.multiSampleHelper.render(this.renderer,this._camera,this.scene,this.helper,!1,this.props.transparentBackground,this.props),this._colorTarget=this.multiSamplePass.colorTarget):(this.drawPass.render(this.renderer,this._camera,this.scene,this.helper,!1,this.props.transparentBackground,this.props.postprocessing,this.props.marking),this._colorTarget=this.drawPass.getColorTarget(this.props.postprocessing))},A.prototype.getImageData=function(A,e,t){var r,n;this.setSize(A,e),this.render(),this.colorTarget.bind();var i=null!==(r=null==t?void 0:t.width)&&void 0!==r?r:A,o=null!==(n=null==t?void 0:t.height)&&void 0!==n?n:e,a=new Uint8Array(i*o*4);t?this.webgl.readPixels(t.x,e-t.y-t.height,i,o,a):this.webgl.readPixels(0,0,i,o,a);var s=Dp.create(a,i,o);return Dp.flipY(s),Dp.divideByAlpha(s),new ImageData(new Uint8ClampedArray(a),i,o)},A}(),DP=w(w({},Yv.Params),{alpha:w(w({},Yv.Params.alpha),{defaultValue:1}),ignoreLight:w(w({},Yv.Params.ignoreLight),{defaultValue:!0}),colorX:ir.Color(Rr.red,{isEssential:!0}),colorY:ir.Color(Rr.green,{isEssential:!0}),colorZ:ir.Color(Rr.blue,{isEssential:!0}),scale:ir.Numeric(.33,{min:.1,max:2,step:.1},{isEssential:!0})}),bP={handle:ir.MappedStatic("off",{on:ir.Group(DP),off:ir.Group({})},{cycle:!0,description:"Show handle tool"})},wP=function(){function A(A,e){var t=this;void 0===e&&(e={}),this.webgl=A,this.props={handle:{name:"off",params:{}}},this._transform=nA(),this.eachGroup=function(A,e){if(!t.renderObject)return!1;if(!UP(A))return!1;for(var r=!1,n=t.renderObject.values.uGroupCount.ref.value,i=0,o=A.elements;i<o.length;i++){var a=o[i],s=a.groupId,u=a.instanceId*n+s;e(qr.ofSingleton(u))&&(r=!0)}return r},this.scene=nT.create(A),this.setProps(e)}return A.prototype.getBoundingSphere=function(A,e){return this.renderObject&&(Ss.copy(A,this.renderObject.values.invariantBoundingSphere.ref.value),nA.fromArray(this._transform,this.renderObject.values.aTransform.ref.value,16*e),Ss.transform(A,A,this._transform)),A},A.prototype.setProps=function(A){var e=this;this.props=NE(this.props,(function(t){if(void 0!==A.handle&&(t.handle.name=A.handle.name,"on"===A.handle.name)){e.scene.clear();var r=w(w({},A.handle.params),{scale:A.handle.params.scale*e.webgl.pixelRatio});e.renderObject=function(A){var e=function(A,e){var t=10*A.scale,r=function(A,e){var t=kD.createState(512,256,undefined),r=.05*A,n=gA.scale(gA(),gA.unitX,A),i=gA.scale(gA(),gA.unitY,A),o=gA.scale(gA(),gA.unitZ,A),a={radiusTop:r,radiusBottom:r,radialSegments:32};return t.currentGroup=FP.TranslateScreenXY,oD(t,gA.origin,3*r,2),t.currentGroup=FP.TranslateObjectX,oD(t,n,r,2),MD(t,gA.origin,n,1,a),t.currentGroup=FP.TranslateObjectY,oD(t,i,r,2),MD(t,gA.origin,i,1,a),t.currentGroup=FP.TranslateObjectZ,oD(t,o,r,2),MD(t,gA.origin,o,1,a),kD.getMesh(t)}(t);r.setBoundingSphere(Ss.create(gA.create(t/2,t/2,t/2),t+t/4));return ib.create("handle",{},r,(function(e){switch(e){case FP.TranslateObjectX:return A.colorX;case FP.TranslateObjectY:return A.colorY;case FP.TranslateObjectZ:return A.colorZ;default:return Rr.grey}}),(function(){return 1}),(function(){return""}))}(A);return ib.createRenderObject(e,A)}(r),e.renderObject.state.noClip=!0,e.scene.add(e.renderObject),e.scene.commit(),t.handle.params=w({},A.handle.params)}}))},Object.defineProperty(A.prototype,"isEnabled",{get:function(){return"on"===this.props.handle.name},enumerable:!1,configurable:!0}),A.prototype.update=function(A,e,t){this.renderObject&&(nA.setTranslation(this.renderObject.values.aTransform.ref.value,e),nA.fromMat3(this.renderObject.values.aTransform.ref.value,t),Y.update(this.renderObject.values.aTransform,this.renderObject.values.aTransform.ref.value),this.scene.update([this.renderObject],!0))},A.prototype.getLoci=function(A){var e=A.objectId,t=A.groupId,r=A.instanceId;return this.renderObject&&e===this.renderObject.id?function(A,e,t){return KN("handle",A,[{groupId:e,instanceId:t}],(function(e){return A.getBoundingSphere(e,t)}),(function(){return"Handle Helper | Group Id ".concat(e," | Instance Id ").concat(t)}))}(this,t,r):PN},A.prototype.mark=function(A,e){return!!RN.is(RN.Highlighting,e)&&!!UP(A)&&A.data===this&&QR.mark(this.renderObject,A,e,this.eachGroup)},A}(),FP={None:0,TranslateScreenXY:1,TranslateObjectX:3,TranslateObjectY:4,TranslateObjectZ:5};function UP(A){return"data-loci"===A.kind&&"handle"===A.tag}var SP,NP={debug:ir.Group(QT),camera:ir.Group({helper:ir.Group(CP)}),handle:ir.Group(bP)},RP=ir.getDefaultValues(NP),HP=function(A,e,t){void 0===t&&(t={});var r=w(w({},RP),t);this.debug=new IT(A,e,r.debug),this.camera=new pP(A,r.camera.helper),this.handle=new wP(A,r.handle)},GP=function(){function A(A,e){void 0===e&&(e={}),this.webgl=A;var t=A.gl;this.draw=new EP(A,t.drawingBufferWidth,t.drawingBufferHeight,e.enableWboit||!1),this.pick=new iP(A,this.draw,e.pickScale||.25),this.multiSample=new qT(A,this.draw)}return A.prototype.updateSize=function(){var A=this.webgl.gl;this.draw.setSize(A.drawingBufferWidth,A.drawingBufferHeight),this.pick.syncSize(),this.multiSample.syncSize()},A}(),MP={camera:ir.Group({mode:ir.Select("perspective",ir.arrayToOptions(["perspective","orthographic"]),{label:"Camera"}),helper:ir.Group(CP,{isFlat:!0}),stereo:ir.MappedStatic("off",{on:ir.Group(XT),off:ir.Group({})},{cycle:!0,hideIf:function(A){return"perspective"!==(null==A?void 0:A.mode)}}),manualReset:ir.Boolean(!1,{isHidden:!0})},{pivot:"mode"}),cameraFog:ir.MappedStatic("on",{on:ir.Group({intensity:ir.Numeric(15,{min:1,max:100,step:1})}),off:ir.Group({})},{cycle:!0,description:"Show fog in the distance"}),cameraClipping:ir.Group({radius:ir.Numeric(100,{min:0,max:99,step:1},{label:"Clipping",description:"How much of the scene to show."}),far:ir.Boolean(!0,{description:"Hide scene in the distance"})},{pivot:"radius"}),viewport:ir.MappedStatic("canvas",{canvas:ir.Group({}),"static-frame":ir.Group({x:ir.Numeric(0),y:ir.Numeric(0),width:ir.Numeric(128),height:ir.Numeric(128)}),"relative-frame":ir.Group({x:ir.Numeric(.33,{min:0,max:1,step:.01}),y:ir.Numeric(.33,{min:0,max:1,step:.01}),width:ir.Numeric(.5,{min:.01,max:1,step:.01}),height:ir.Numeric(.5,{min:.01,max:1,step:.01})})}),cameraResetDurationMs:ir.Numeric(250,{min:0,max:1e3,step:1},{description:"The time it takes to reset the camera."}),transparentBackground:ir.Boolean(!1),multiSample:ir.Group(zT),postprocessing:ir.Group(PT),marking:ir.Group(gP),renderer:ir.Group(PV),trackball:ir.Group(rT),interaction:ir.Group(vT),debug:ir.Group(QT),handle:ir.Group(bP)},LP=ir.getDefaultValues(MP);!function(A){A.DefaultAttribs={antialias:!0,preserveDrawingBuffer:!0,pixelScale:1,pickScale:.25,pickPadding:1,enableWboit:!0,preferWebGl1:!1},A.fromCanvas=function(e,t){void 0===t&&(t={});var r=w(w({},A.DefaultAttribs),t),n=r.antialias,i=r.preserveDrawingBuffer,o=r.pixelScale,a=r.preferWebGl1,s=function(A,e){function t(t){try{return A.getContext(t,e)}catch(A){return null}}var r=((null==e?void 0:e.preferWebGl1)?null:t("webgl2"))||t("webgl")||t("experimental-webgl");return Fe&&console.log("isWebgl2: ".concat(Gm(r))),r}(e,{antialias:n,preserveDrawingBuffer:i,alpha:!0,depth:!0,premultipliedAlpha:!0,preferWebGl1:a});if(null===s)throw new Error("Could not create a WebGL rendering context");var u=kV.fromElement(e,{pixelScale:o,preventGestures:!0}),g=function(A,e){var t=this;void 0===e&&(e={});var r=Up(A),n=function(A){var e={},t=A.getParameter(A.FRONT_FACE),r=A.getParameter(A.CULL_FACE_MODE),n=A.getParameter(A.DEPTH_WRITEMASK),i=A.getParameter(A.COLOR_WRITEMASK),o=A.getParameter(A.COLOR_CLEAR_VALUE),a=A.getParameter(A.BLEND_SRC_RGB),s=A.getParameter(A.BLEND_DST_RGB),u=A.getParameter(A.BLEND_SRC_ALPHA),g=A.getParameter(A.BLEND_DST_ALPHA),c=A.getParameter(A.BLEND_EQUATION_RGB),B=A.getParameter(A.BLEND_EQUATION_ALPHA),l=A.getParameter(A.MAX_VERTEX_ATTRIBS),Q=[],I=function(){for(var A=0;A<l;++A)Q[A]=0};return I(),{currentProgramId:-1,currentMaterialId:-1,currentRenderItemId:-1,enable:function(t){!0!==e[t]&&(A.enable(t),e[t]=!0)},disable:function(t){!1!==e[t]&&(A.disable(t),e[t]=!1)},frontFace:function(e){e!==t&&(A.frontFace(e),t=e)},cullFace:function(e){e!==r&&(A.cullFace(e),r=e)},depthMask:function(e){e!==n&&(A.depthMask(e),n=e)},colorMask:function(e,t,r,n){e===i[0]&&t===i[1]&&r===i[2]&&n===i[3]||(A.colorMask(e,t,r,n),i[0]=e,i[1]=t,i[2]=r,i[3]=n)},clearColor:function(e,t,r,n){e===o[0]&&t===o[1]&&r===o[2]&&n===o[3]||(A.clearColor(e,t,r,n),o[0]=e,o[1]=t,o[2]=r,o[3]=n)},blendFunc:function(e,t){e===a&&t===s&&e===u&&t===g||(A.blendFunc(e,t),a=e,s=t,u=e,g=t)},blendFuncSeparate:function(e,t,r,n){e===a&&t===s&&r===u&&n===g||(A.blendFuncSeparate(e,t,r,n),a=e,s=t,u=r,g=n)},blendEquation:function(e){e===c&&e===B||(A.blendEquation(e),c=e,B=e)},blendEquationSeparate:function(e,t){e===c&&t===B||(A.blendEquationSeparate(e,t),c=e,B=t)},enableVertexAttrib:function(e){A.enableVertexAttribArray(e),Q[e]=1},clearVertexAttribsState:I,disableUnusedVertexAttribs:function(){for(var e=0;e<l;++e)0===Q[e]&&A.disableVertexAttribArray(e)},reset:function(){e={},t=A.getParameter(A.FRONT_FACE),r=A.getParameter(A.CULL_FACE_MODE),n=A.getParameter(A.DEPTH_WRITEMASK),i=A.getParameter(A.COLOR_WRITEMASK),o=A.getParameter(A.COLOR_CLEAR_VALUE),a=A.getParameter(A.BLEND_SRC_RGB),s=A.getParameter(A.BLEND_DST_RGB),u=A.getParameter(A.BLEND_SRC_ALPHA),g=A.getParameter(A.BLEND_DST_ALPHA),c=A.getParameter(A.BLEND_EQUATION_RGB),B=A.getParameter(A.BLEND_EQUATION_ALPHA),l=A.getParameter(A.MAX_VERTEX_ATTRIBS),Q.length=0;for(var I=0;I<l;++I)Q[I]=0}}}(A),i={resourceCounts:{attribute:0,elements:0,framebuffer:0,program:0,renderbuffer:0,shader:0,texture:0,vertexArray:0},drawCount:0,instanceCount:0,instancedDrawCount:0},o=ym(A,n,i,r),a={maxTextureSize:A.getParameter(A.MAX_TEXTURE_SIZE),max3dTextureSize:Gm(A)?A.getParameter(A.MAX_3D_TEXTURE_SIZE):0,maxRenderbufferSize:A.getParameter(A.MAX_RENDERBUFFER_SIZE),maxDrawBuffers:r.drawBuffers?A.getParameter(r.drawBuffers.MAX_DRAW_BUFFERS):0,maxTextureImageUnits:A.getParameter(A.MAX_TEXTURE_IMAGE_UNITS),maxVertexTextureImageUnits:A.getParameter(A.MAX_VERTEX_TEXTURE_IMAGE_UNITS)};if(a.maxVertexTextureImageUnits<8)throw new Error('Need "MAX_VERTEX_TEXTURE_IMAGE_UNITS" >= 8');var s,u=!1,g=new Rh(0);if(Gm(A)){var c=A.createBuffer(),B=void 0,l=void 0,Q=!1,I=function(){A.bindBuffer(A.PIXEL_PACK_BUFFER,c),A.getBufferSubData(A.PIXEL_PACK_BUFFER,0,B),A.bindBuffer(A.PIXEL_PACK_BUFFER,null),Q=!1,l(),l=void 0,B=void 0};s=function(e,t,r,n,i){return new Promise((function(o,a){Q?a("Can not call multiple readPixelsAsync at the same time"):(Q=!0,A.bindBuffer(A.PIXEL_PACK_BUFFER,c),A.bufferData(A.PIXEL_PACK_BUFFER,r*n*4,A.STREAM_READ),A.readPixels(e,t,r,n,A.RGBA,A.UNSIGNED_BYTE,0),A.bindBuffer(A.PIXEL_PACK_BUFFER,null),l=o,B=i,Sm(A,I))}))}}else s=function(e,r,n,i,o){return F(t,void 0,void 0,(function(){return U(this,(function(t){return Hm(A,e,r,n,i,o),[2]}))}))};var d=new Set;return{gl:A,isWebGL2:Gm(A),get pixelRatio(){return("undefined"!=typeof window?window.devicePixelRatio:1)*(e.pixelScale||1)},extensions:r,state:n,stats:i,resources:o,get maxTextureSize(){return a.maxTextureSize},get max3dTextureSize(){return a.max3dTextureSize},get maxRenderbufferSize(){return a.maxRenderbufferSize},get maxDrawBuffers(){return a.maxDrawBuffers},get maxTextureImageUnits(){return a.maxTextureImageUnits},namedComputeRenderables:Object.create(null),namedFramebuffers:Object.create(null),namedTextures:Object.create(null),get isContextLost(){return u||A.isContextLost()},contextRestored:g,setContextLost:function(){u=!0},handleContextRestored:function(e){Object.assign(r,Up(A)),n.reset(),n.currentMaterialId=-1,n.currentProgramId=-1,n.currentRenderItemId=-1,o.reset(),d.forEach((function(A){return A.reset()})),null==e||e(),u=!1,g.next(G())},createRenderTarget:function(e,t,r,n,i){var a=function(A,e,t,r,n,i,o){void 0===n&&(n=!0),void 0===i&&(i="uint8"),void 0===o&&(o="nearest");var a=e.framebuffer(),s="fp16"===i?e.texture("image-float16","rgba","fp16",o):"float32"===i?e.texture("image-float32","rgba","float",o):e.texture("image-uint8","rgba","ubyte",o),u=n?Gm(A)?e.renderbuffer("depth32f","depth",t,r):e.renderbuffer("depth16","depth",t,r):null;function g(){s.define(t,r),s.attachFramebuffer(a,"color0"),u&&u.attachFramebuffer(a)}g();var c=!1;return{id:vm(),texture:s,framebuffer:a,getWidth:function(){return t},getHeight:function(){return r},bind:function(){a.bind()},setSize:function(A,e){t===A&&r===e||(t=A,r=e,s.define(t,r),u&&u.setSize(t,r))},reset:function(){g()},destroy:function(){c||(s.destroy(),a.destroy(),u&&u.destroy(),c=!0)}}}(A,o,e,t,r,n,i);return d.add(a),w(w({},a),{destroy:function(){a.destroy(),d.delete(a)}})},unbindFramebuffer:function(){return wm(A)},readPixels:function(e,t,r,n,i){Hm(A,e,t,r,n,i)},readPixelsAsync:s,waitForGpuCommandsComplete:function(){return function(A){return new Promise((function(e){Gm(A)?Sm(A,e):(Nm||(console.info("Sync object not supported in WebGL"),Nm=!0),Rm(A),e())}))}(A)},waitForGpuCommandsCompleteSync:function(){return Rm(A)},getDrawingBufferPixelData:function(){return function(A){var e=A.drawingBufferWidth,t=A.drawingBufferHeight,r=new Uint8Array(e*t*4);return wm(A),A.viewport(0,0,e,t),Hm(A,0,0,e,t,r),Dp.flipY(Dp.create(r,e,t))}(A)},clear:function(e,t,r,i){wm(A),n.enable(A.SCISSOR_TEST),n.depthMask(!0),n.colorMask(!0,!0,!0,!0),n.clearColor(e,t,r,i),A.viewport(0,0,A.drawingBufferWidth,A.drawingBufferHeight),A.scissor(0,0,A.drawingBufferWidth,A.drawingBufferHeight),A.clear(A.COLOR_BUFFER_BIT|A.DEPTH_BUFFER_BIT)},destroy:function(e){var t,r;o.destroy(),function(A){for(var e=A.getParameter(A.MAX_TEXTURE_IMAGE_UNITS),t=0;t<e;++t)A.activeTexture(A.TEXTURE0+t),A.bindTexture(A.TEXTURE_2D,null),A.bindTexture(A.TEXTURE_CUBE_MAP,null),Gm(A)&&(A.bindTexture(A.TEXTURE_2D_ARRAY,null),A.bindTexture(A.TEXTURE_3D,null));var r=A.createBuffer();A.bindBuffer(A.ARRAY_BUFFER,r);var n=A.getParameter(A.MAX_VERTEX_ATTRIBS);for(t=0;t<n;++t)A.vertexAttribPointer(t,1,A.FLOAT,!1,0,0);A.bindBuffer(A.ARRAY_BUFFER,null),A.bindBuffer(A.ELEMENT_ARRAY_BUFFER,null),A.bindRenderbuffer(A.RENDERBUFFER,null),wm(A)}(A),(null==e?void 0:e.doNotForceWebGLContextLoss)||(null===(t=A.getExtension("WEBGL_lose_context"))||void 0===t||t.loseContext(),null===(r=A.getExtension("STACKGL_destroy_context"))||void 0===r||r.destroy())}}}(s,{pixelScale:o}),c=new GP(g,t);if(Fe){var B=s.getExtension("WEBGL_lose_context");B&&e.addEventListener("mousedown",(function(A){g.isContextLost||A.shiftKey&&A.ctrlKey&&A.altKey&&(Fe&&console.log("lose context"),B.loseContext(),setTimeout((function(){g.isContextLost&&(Fe&&console.log("restore context"),B.restoreContext())}),1e3))}),!1)}var l=new Rh(0),Q=function(A){g.setContextLost(),A.preventDefault(),Fe&&console.log("context lost"),l.next(G())},I=function(){g.isContextLost&&(g.handleContextRestored((function(){c.draw.reset()})),Fe&&console.log("context restored"))};return e.addEventListener("webglcontextlost",Q,!1),e.addEventListener("webglcontextrestored",I,!1),{canvas:e,webgl:g,input:u,passes:c,attribs:r,contextLost:l,contextRestored:g.contextRestored,dispose:function(A){u.dispose(),e.removeEventListener("webglcontextlost",Q,!1),e.removeEventListener("webglcontextrestored",I,!1),g.destroy(A)}}}}(SP||(SP={}));var xP,kP="undefined"!=typeof window?window.requestAnimationFrame:function(A){return setImmediate((function(){return A(Date.now())}))},YP="undefined"!=typeof window?window.cancelAnimationFrame:function(A){return clearImmediate(A)};function _P(A){VP(A)}function VP(A){sV.Canvas3D.ResetSettings.subscribe(A,(function(){var e;null===(e=A.canvas3d)||void 0===e||e.setProps(LP),A.events.canvas3d.settingsUpdated.next(void 0)})),sV.Canvas3D.SetSettings.subscribe(A,(function(e){var t;A.canvas3d&&(null===(t=A.canvas3d)||void 0===t||t.setProps(e.settings),A.events.canvas3d.settingsUpdated.next(void 0))}))}!function(A){A.create=function(A,e){var t=A.webgl,r=A.input,n=A.passes,i=A.attribs;void 0===e&&(e={});var o=w(w({},LP),e),a=new Map,s=new Map,u=new Rh(0),g=G(),c=new Rh(0),B=new Rh(0),l=t.gl,Q=t.contextRestored,I=0,d=0,h=128,E=128;eA();var f=nT.create(t),C=new lT({position:gA.create(0,0,100),mode:o.camera.mode,fog:"on"===o.cameraFog.name?o.cameraFog.params.intensity:0,clipFar:o.cameraClipping.far},{x:I,y:d,width:h,height:E},{pixelScale:i.pixelScale}),p=new AP(C,o.camera.stereo.params),m=WV.create(r,C,o.trackball),y=jV.create(t,o.renderer),v=new HP(t,f,o),D=new oP(t,y,f,v,n.pick,{x:I,y:d,width:h,height:E},i.pickPadding),b=new DT(K,M,r,C,o.interaction),F=new WT(n.multiSample),U=!1,S=void 0,N=void 0,R=!1,H=!0;function M(A){var e=PN,t=vR.Empty;if(A){var r=v.camera.getLoci(A);if(r!==PN)return{loci:r,repr:t};e=v.handle.getLoci(A),a.forEach((function(r,n){var i=n.getLoci(A);JN(i)||(JN(e)||console.warn("found another loci, this should not happen"),e=i,t=n)}))}return{loci:e,repr:t}}var L=!1,x=!1,k=0,Y=!1;function 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A=f.boundingSphere.radius>0?100-Math.round(C.transition.target.radius/f.boundingSphere.radius*100):0;return{camera:{mode:C.state.mode,helper:w({},v.camera.props),stereo:w({},o.camera.stereo),manualReset:!!o.camera.manualReset},cameraFog:C.state.fog>0?{name:"on",params:{intensity:C.state.fog}}:{name:"off",params:{}},cameraClipping:{far:C.state.clipFar,radius:A},cameraResetDurationMs:o.cameraResetDurationMs,transparentBackground:o.transparentBackground,viewport:o.viewport,postprocessing:w({},o.postprocessing),marking:w({},o.marking),multiSample:w({},o.multiSample),renderer:w({},y.props),trackball:w({},m.props),interaction:w({},b.props),debug:w({},v.debug.props),handle:w({},v.handle.props)}}var X=Q.subscribe((function(){D.dirty=!0,_(!0),_(!0)})),$=new Rh(0);function AA(A){void 0===A&&(A=!0),n.updateSize(),eA(),tA(),A&&V(!0),$.next(+new Date)}return{webgl:t,add:function A(e){!function(e){s.has(e)||s.set(e,e.updated.subscribe((function(t){e.state.syncManually||A(e)})))}(e);var t=a.get(e),r=new Set;e.renderObjects.forEach((function(A){return r.add(A)})),t?oa.areEqual(r,t)||(r.forEach((function(A){t.has(A)||f.add(A)})),t.forEach((function(A){r.has(A)||f.remove(A)}))):e.renderObjects.forEach((function(A){return f.add(A)})),a.set(e,r),f.update(e.renderObjects,!1),x=!0,Fe&&Z()},remove:function(A){!function(A){var e=s.get(A);e&&(e.unsubscribe(),s.delete(A))}(A);var e=a.get(A);e&&(e.forEach((function(A){return f.remove(A)})),a.delete(A),x=!0,Fe&&Z())},commit:j,update:function(A,e){if(A){if(!a.has(A))return;f.update(A.renderObjects,!!e)}else f.update(void 0,!!e);x=!0},clear:function(){s.forEach((function(A){return A.unsubscribe()})),s.clear(),a.clear(),f.clear(),v.debug.clear(),V(!0),u.next(a.size)},syncVisibility:function(){0===C.state.radiusMax&&(U=!0,S=0),f.syncVisibility()&&v.debug.isEnabled&&v.debug.update(),V(!0)},requestDraw:V,tick:P,animate:function(){Y=!1,m.start(G()),0===T&&J()},resetTime:function(A){g=A,m.start(A)},pause:function(A){void 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0!==i.viewport&&(o.viewport===i.viewport||o.viewport.name===i.viewport.name&&O(o.viewport.params,i.viewport.params)||(o.viewport=i.viewport,eA(),tA())),i.postprocessing&&Object.assign(o.postprocessing,i.postprocessing),i.marking&&Object.assign(o.marking,i.marking),i.multiSample&&Object.assign(o.multiSample,i.multiSample),i.renderer&&y.setProps(i.renderer),i.trackball&&m.setProps(i.trackball),i.interaction&&b.setProps(i.interaction),i.debug&&v.debug.setProps(i.debug),i.handle&&v.handle.setProps(i.handle),"orthographic"===a.mode&&(o.camera.stereo.name="off"),e||V(!0)},getImagePass:function(A){return void 0===A&&(A={}),new vP(t,y,f,C,v,n.draw.wboitEnabled,A)},getRenderObjects:function(){var A=[];return f.forEach((function(e,t){return A.push(t)})),A},get props(){return W()},get input(){return r},get stats(){return y.stats},get interaction(){return b.events},dispose:function(){X.unsubscribe(),f.clear(),v.debug.clear(),m.dispose(),y.dispose(),b.dispose()}};function eA(){var A=I,e=d,r=h,n=E;"canvas"===o.viewport.name?(I=0,d=0,h=l.drawingBufferWidth,E=l.drawingBufferHeight):"static-frame"===o.viewport.name?(I=o.viewport.params.x*t.pixelRatio,E=o.viewport.params.height*t.pixelRatio,d=l.drawingBufferHeight-E-o.viewport.params.y*t.pixelRatio,h=o.viewport.params.width*t.pixelRatio):"relative-frame"===o.viewport.name&&(I=Math.round(o.viewport.params.x*l.drawingBufferWidth),E=Math.round(o.viewport.params.height*l.drawingBufferHeight),d=Math.round(l.drawingBufferHeight-E-o.viewport.params.y*l.drawingBufferHeight),h=Math.round(o.viewport.params.width*l.drawingBufferWidth)),A===I&&e===d&&r===h&&n===E||(L=!0)}function tA(){D.setViewport(I,d,h,E),y.setViewport(I,d,h,E),_V.set(C.viewport,I,d,h,E),_V.set(m.viewport,I,d,h,E)}}}(xP||(xP={}));var TP=GV,PP=ZV.Trigger,JP={hoverHighlightOnly:ZV([PP(0)],"Highlight","Hover element using ${triggers}"),hoverHighlightOnlyExtend:ZV([PP(0,TP.create({shift:!0}))],"Extend highlight","From selected to hovered element along polymer using ${triggers}")},OP={bindings:ir.Value(JP,{isHidden:!0}),ignore:ir.Value([],{isHidden:!0}),preferAtoms:ir.Boolean(!1,{description:"Always prefer atoms over bonds"}),mark:ir.Boolean(!0)},KP=J_.create({name:"representation-highlight-loci",category:"interaction",ctor:function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.lociMarkProvider=function(A,t,r){e.ctx.canvas3d&&e.params.mark&&e.ctx.canvas3d.mark(A,t,r)},e}return v(e,A),e.prototype.getLoci=function(A){return this.params.preferAtoms&&oB.isLoci(A)&&2===A.bonds.length?oB.toFirstStructureElementLoci(A):A},e.prototype.register=function(){var A=this;this.subscribeObservable(this.ctx.behaviors.interaction.hover,(function(e){var t,r=e.current,n=e.buttons,i=e.modifiers;if(A.ctx.canvas3d&&!A.ctx.isBusy){var o=A.getLoci(r.loci);if((null===(t=A.params.ignore)||void 0===t?void 0:t.indexOf(o.kind))>=0)A.ctx.managers.interactivity.lociHighlights.highlightOnly({repr:r.repr,loci:PN});else{var a=!1;ZV.match(A.params.bindings.hoverHighlightOnly,n,i)&&(A.ctx.managers.interactivity.lociHighlights.highlightOnly({loci:o}),a=!0),ZV.match(A.params.bindings.hoverHighlightOnlyExtend,n,i)&&(A.ctx.managers.interactivity.lociHighlights.highlightOnlyExtend({loci:o}),a=!0),a||A.ctx.managers.interactivity.lociHighlights.highlightOnly({repr:r.repr,loci:PN})}}})),this.ctx.managers.interactivity.lociHighlights.addProvider(this.lociMarkProvider)},e.prototype.unregister=function(){this.ctx.managers.interactivity.lociHighlights.removeProvider(this.lociMarkProvider)},e}(J_.Handler),params:function(){return OP},display:{name:"Highlight Loci on Canvas"}}),jP={clickSelect:ZV.Empty,clickToggleExtend:ZV([PP(1,TP.create({shift:!0}))],"Toggle extended selection","${triggers} to extend selection along polymer"),clickSelectOnly:ZV.Empty,clickToggle:ZV([PP(1,TP.create())],"Toggle selection","${triggers} on element"),clickDeselect:ZV.Empty,clickDeselectAllOnEmpty:ZV([PP(1,TP.create())],"Deselect all","Click on nothing using ${triggers}")},zP={bindings:ir.Value(jP,{isHidden:!0}),ignore:ir.Value([],{isHidden:!0}),preferAtoms:ir.Boolean(!1,{description:"Always prefer atoms over bonds"}),mark:ir.Boolean(!0)},qP=J_.create({name:"representation-select-loci",category:"interaction",ctor:function(A){function e(e,t){var r=A.call(this,e,t)||this;return r.lociMarkProvider=function(A,e,t){r.ctx.canvas3d&&r.params.mark&&r.ctx.canvas3d.mark({loci:A.loci},e,t)},r.spine=new ME.Impl(e.state.data.cells),r}return v(e,A),e.prototype.getLoci=function(A){return this.params.preferAtoms&&oB.isLoci(A)&&2===A.bonds.length?oB.toFirstStructureElementLoci(A):A},e.prototype.applySelectMark=function(A,e){var t=this.ctx.state.data.cells.get(A);if(t&&qf.isRepresentation3D(t.obj)){this.spine.current=t;var r=this.spine.getRootOfType(qf.Molecule.Structure);if(r){e&&this.lociMarkProvider({loci:BI.Loci(r.data)},NN.Deselect);var n=this.ctx.managers.structure.selection.getLoci(r.data);this.lociMarkProvider({loci:n},NN.Select)}}},e.prototype.register=function(){var A=this,e=function(A){return!VN.isEmpty(A)},t=[["clickSelect",function(e){return A.ctx.managers.interactivity.lociSelects.select(e)},e],["clickToggle",function(e){return A.ctx.managers.interactivity.lociSelects.toggle(e)},e],["clickToggleExtend",function(e){return A.ctx.managers.interactivity.lociSelects.toggleExtend(e)},e],["clickSelectOnly",function(e){return A.ctx.managers.interactivity.lociSelects.selectOnly(e)},e],["clickDeselect",function(e){return A.ctx.managers.interactivity.lociSelects.deselect(e)},e],["clickDeselectAllOnEmpty",function(){return A.ctx.managers.interactivity.lociSelects.deselectAll()},function(A){return VN.isEmpty(A)}]];t.sort((function(e,t){var r=A.params.bindings[e[0]],n=A.params.bindings[t[0]],i=0===r.triggers.length?0:cr(r.triggers.map((function(A){return TP.size(A.modifiers)})));return(0===n.triggers.length?0:cr(n.triggers.map((function(A){return TP.size(A.modifiers)}))))-i})),this.subscribeObservable(this.ctx.behaviors.interaction.click,(function(e){var r,n=e.current,i=e.button,o=e.modifiers;if(A.ctx.canvas3d&&!A.ctx.isBusy&&A.ctx.selectionMode){var a=A.getLoci(n.loci);if(!((null===(r=A.params.ignore)||void 0===r?void 0:r.indexOf(a.kind))>=0))for(var s=0,u=t;s<u.length;s++){var g=u[s],c=g[0],B=g[1],l=g[2];if(ZV.match(A.params.bindings[c],i,o)&&(!l||l(a))){B({repr:n.repr,loci:a});break}}}})),this.ctx.managers.interactivity.lociSelects.addProvider(this.lociMarkProvider),this.subscribeObservable(this.ctx.state.events.object.created,(function(e){var t=e.ref;return A.applySelectMark(t)})),this.subscribeObservable(this.ctx.state.events.object.updated,(function(e){var t=e.ref,r=e.obj,n=e.oldObj,i=e.oldData,o=e.action,a=A.ctx.state.data.cells.get(t);if(a&&qf.Molecule.Structure.is(a.obj)){var s=r.data,u="recreate"===o?null==n?void 0:n.data:"in-place"===o?i:void 0;if(u&&BI.areEquivalent(s,u)&&BI.areHierarchiesEqual(s,u))return;for(var g=0,c=A.ctx.state.data.select(xd.Generators.ofType(qf.Molecule.Structure.Representation3D,t));g<c.length;g++){var B=c[g];A.applySelectMark(B.transform.ref,!0)}}}))},e.prototype.unregister=function(){this.ctx.managers.interactivity.lociSelects.removeProvider(this.lociMarkProvider)},e}(J_.Handler),params:function(){return zP},display:{name:"Select Loci on Canvas"}}),ZP=J_.create({name:"default-loci-label-provider",category:"interaction",ctor:function(){function A(A){this.ctx=A,this.f={label:function(A){var e=[];if(dI.is(A)&&1===A.elements.length){var t=A.elements[0].unit,r=hc.create(A.structure,t,t.elements[0]),n=oQ.entity.pdbx_description(r).join(", ");e.push(n)}return e.push(tH(A)),e.filter((function(A){return!!A})).join("</br>")},group:function(A){return A.toString().replace(/Model [0-9]+/g,"Models")},priority:100}}return A.prototype.register=function(){this.ctx.managers.lociLabels.addProvider(this.f)},A.prototype.unregister=function(){this.ctx.managers.lociLabels.removeProvider(this.f)},A}(),display:{name:"Provide Default Loci Label"}}),WP={clickFocus:ZV([PP(1,TP.create())],"Representation Focus","Click element using ${triggers}"),clickFocusAdd:ZV([PP(1,TP.create({shift:!0}))],"Representation Focus Add","Click element using ${triggers}"),clickFocusSelectMode:ZV([],"Representation Focus","Click element using ${triggers}"),clickFocusAddSelectMode:ZV([],"Representation Focus Add","Click element using ${triggers}")},XP={bindings:ir.Value(WP,{isHidden:!0})},$P=J_.create({name:"representation-focus-loci",category:"interaction",ctor:function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.register=function(){var A=this;this.subscribeObservable(this.ctx.behaviors.interaction.click,(function(e){var t,r=e.current,n=e.button,i=e.modifiers,o=A.params.bindings,a=o.clickFocus,s=o.clickFocusAdd,u=o.clickFocusSelectMode,g=o.clickFocusAddSelectMode,c=A.ctx.managers.interactivity.props.granularity;if("residue"===c||"element"===c){var B=A.ctx.selectionMode?u:a,l=ZV.match(B,n,i),Q=A.ctx.selectionMode?g:s,I=ZV.match(Q,n,i);if(l||I){var d=VN.normalize(r.loci,"residue"),h=A.ctx.managers.structure.focus.current;if(h&&VN.areEqual(h.loci,d))A.ctx.managers.structure.focus.clear();else if(l)A.ctx.managers.structure.focus.setFromLoci(d);else{A.ctx.managers.structure.focus.addFromLoci(d);var E=null===(t=A.ctx.managers.structure.focus.current)||void 0===t?void 0:t.loci;E&&A.ctx.managers.camera.focusLoci(E)}}}}))},e}(J_.Handler),params:function(){return XP},display:{name:"Representation Focus Loci on Canvas"}}),AJ=GV,eJ=ZV.Trigger,tJ={clickCenterFocus:ZV([eJ(1,AJ.create()),eJ(2,AJ.create()),eJ(1,AJ.create({control:!0}))],"Camera center and focus","Click element using ${triggers}"),clickCenterFocusSelectMode:ZV([eJ(2,AJ.create()),eJ(1,AJ.create({control:!0}))],"Camera center and focus","Click element using ${triggers}")},rJ={minRadius:ir.Numeric(8,{min:1,max:50,step:1}),extraRadius:ir.Numeric(4,{min:1,max:50,step:1},{description:"Value added to the bounding-sphere radius of the Loci"}),durationMs:ir.Numeric(250,{min:0,max:1e3,step:1},{description:"Camera transition duration"}),bindings:ir.Value(tJ,{isHidden:!0})},nJ=J_.create({name:"camera-focus-loci",category:"interaction",ctor:function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.register=function(){var A=this;this.subscribeObservable(this.ctx.behaviors.interaction.click,(function(e){var t=e.current,r=e.button,n=e.modifiers;if(A.ctx.canvas3d){var i=A.ctx.selectionMode?A.params.bindings.clickCenterFocusSelectMode:A.params.bindings.clickCenterFocus;if(ZV.match(i,r,n)){if(VN.isEmpty(t.loci))return void sV.Camera.Reset(A.ctx,{});var o=VN.normalize(t.loci,A.ctx.managers.interactivity.props.granularity);A.ctx.managers.camera.focusLoci(o,A.params)}}}))},e}(J_.Handler),params:function(){return rJ},display:{name:"Camera Focus Loci on Canvas"}}),iJ=J_.create({name:"camera-axis-helper",category:"interaction",ctor:function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.register=function(){var A=this,e=0,t=0;this.subscribeObservable(this.ctx.behaviors.interaction.click,(function(r){var n=r.current;if(A.ctx.canvas3d&&mP(n.loci)){var i=n.loci.elements[0].groupId;if(0===i)return e=0,void(t=0);var o,a,s=A.ctx.canvas3d.camera;if(i>=1&&i<=3){e=0,t=0;var u=gA.sub(gA(),s.target,s.position),g=gA.cross(gA(),u,s.up);(a=gA())[i-1]=1,o=gA.cross(gA(),a,g),0===gA.magnitude(o)&&(o=u)}else e===i?t=(t+1)%2:(e=i,t=0),4===i?(a=t?gA.unitX:gA.unitY,o=gA.negUnitZ):5===i?(a=t?gA.unitX:gA.unitZ,o=gA.negUnitY):(a=t?gA.unitY:gA.unitZ,o=gA.negUnitX);A.ctx.canvas3d.requestCameraReset({snapshot:function(A,e){return e.getInvariantFocus(A.boundingSphereVisible.center,A.boundingSphereVisible.radius,a,o)}})}}))},e}(J_.Handler),params:function(){return{}},display:{name:"Camera Axis Helper"}}),oJ=J_.create({name:"structure-info-prop",category:"custom-props",display:{name:"Structure Info"},ctor:function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),Object.defineProperty(e.prototype,"maxModelIndex",{get:function(){for(var A,e,t=-1,r=0,n=this.ctx.state.data.select(xd.Generators.rootsOfType(qf.Molecule.Model));r<n.length;r++){var i=n[r],o=(null===(A=i.obj)||void 0===A?void 0:A.data)&&dd.Index.get(null===(e=i.obj)||void 0===e?void 0:e.data).value;void 0!==o&&o>t&&(t=o)}return t},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"maxStructureIndex",{get:function(){for(var A,e,t=-1,r=0,n=this.ctx.state.data.select(xd.Generators.rootsOfType(qf.Molecule.Structure));r<n.length;r++){var i=n[r],o=(null===(A=i.obj)||void 0===A?void 0:A.data)&&BI.Index.get(null===(e=i.obj)||void 0===e?void 0:e.data).value;void 0!==o&&o>t&&(t=o)}return t},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"asymIdOffset",{get:function(){for(var A,e=0,t=0,r=0,n=this.ctx.state.data.select(xd.Generators.rootsOfType(qf.Molecule.Model));r<n.length;r++){var i=null===(A=n[r].obj)||void 0===A?void 0:A.data;if(i){var o=dd.AsymIdCount.get(i),a=dd.AsymIdOffset.get(i).value;void 0!==o&&void 0!==a&&(e=Math.max(e,a.auth+o.auth),t=Math.max(t,a.label+o.label))}}return{auth:e,label:t}},enumerable:!1,configurable:!0}),e.prototype.handleModel=function(A,e){if(void 0===dd.Index.get(A).value){var t=e&&dd.Index.get(e).value,r=null!=t?t:this.maxModelIndex+1;dd.Index.set(A,{value:r})}if(void 0===dd.AsymIdOffset.get(A).value){var n=e&&dd.AsymIdOffset.get(e).value;r=null!=n?n:w({},this.asymIdOffset),dd.AsymIdOffset.set(A,{value:r})}},e.prototype.handleStructure=function(A,e){if(void 0===A.parent&&void 0===BI.Index.get(A).value){var t=e&&BI.Index.get(e).value,r=null!=t?t:this.maxStructureIndex+1;BI.Index.set(A,{value:r})}},e.prototype.handle=function(A,e,t){qf.Molecule.Structure.is(e)?this.ctx.state.data.tree.transforms.get(A).transformer.definition.isDecorator||void 0!==e.data.parent||this.handleStructure(e.data,null==t?void 0:t.data):qf.Molecule.Model.is(e)&&(this.ctx.state.data.tree.transforms.get(A).transformer.definition.isDecorator||this.handleModel(e.data,null==t?void 0:t.data))},e.prototype.register=function(){var A=this;this.ctx.customModelProperties.register(dd.AsymIdOffset,!0),this.ctx.customModelProperties.register(dd.Index,!0),this.ctx.customStructureProperties.register(BI.Index,!0),this.subscribeObservable(this.ctx.state.data.events.object.created,(function(e){A.handle(e.ref,e.obj)})),this.subscribeObservable(this.ctx.state.data.events.object.updated,(function(e){A.handle(e.ref,e.obj,e.oldObj)}))},e.prototype.unregister=function(){this.ctx.customModelProperties.unregister(dd.AsymIdOffset.descriptor.name),this.ctx.customModelProperties.unregister(dd.Index.descriptor.name),this.ctx.customStructureProperties.unregister(BI.Index.descriptor.name)},e}(J_.Handler)}),aJ=[-1,1.76,1.87,1.65,1.5,1.4,1.85,1.8,1.6,1.4],sJ={ALA:121,ARG:265,ASN:187,ASP:187,CYS:148,GLU:214,GLN:214,GLY:97,HIS:216,ILE:195,LEU:191,LYS:230,MET:203,PHE:228,PRO:154,SER:143,THR:163,TRP:264,TYR:255,VAL:165};function uJ(A,e,t){switch(e){case"O":return 5;case"S":return 6;case"N":return"NZ"===A?4:3;case"C":switch(A){case"C":case"CE1":case"CE2":case"CE3":case"CH2":case"CZ":case"CZ2":case"CZ3":return 1;case"CA":case"CB":case"CE":case"CG1":case"CG2":return 2;default:switch(t){case"PHE":case"TRP":case"TYR":case"HIS":case"ASP":case"ASN":return 1;case"PRO":case"LYS":case"ARG":case"MET":case"ILE":case"LEU":return 2;case"GLU":case"GLN":return"CD"===A?1:2}}}return cJ(e)}function gJ(A,e,t){switch(e){case"C":return 7;case"N":return 8;case"P":return 9;case"O":return 5}return cJ(e)}function cJ(A){var e=ko(A),t=aJ.indexOf(e);return-1===t&&(t=aJ.length,aJ[t]=e),t}function BJ(A,e){return F(this,void 0,void 0,(function(){var t,r;return U(this,(function(n){switch(n.label){case 0:t=e.atomRadiusType,r=0,n.label=1;case 1:return r<t.length?A.shouldUpdate?[4,A.update({message:"Computing per residue surface accessibility...",current:r,max:t.length})]:[3,3]:[3,5];case 2:n.sent(),n.label=3;case 3:!function(A,e,t){for(var r=A.structure,n=A.atomRadiusType,i=A.serialResidueIndex,o=A.area,a=A.spherePoints,s=A.scalingConstant,u=A.maxLookupRadius,g=A.probeSize,c=r.lookup3d,B=r.serialMapping,l=r.unitIndexMap,Q=r.units,I=B.cumulativeUnitElementCount,d=B.elementIndices,h=B.unitIndices,E=e;E<t;++E){var f=aJ[n[E]];if(f!==aJ[0]){for(var C=Q[h[E]],p=d[E],m=C.conformation.x(p),y=C.conformation.y(p),v=C.conformation.z(p),D=c.find(m,y,v,u),b=D.count,w=D.units,F=D.indices,U=D.squaredDistances,S=g+f,N=g+S,R=[],H=0;H<b;++H){var G=w[H],M=I[l.get(G.id)]+F[H],L=d[M],x=aJ[n[M]];if((C!==G||p!==L)&&x!==aJ[0]){var k=g+x;if(U[H]<(N+x)*(N+x)){var Y=d[M];R[R.length]=[U[H],(U[H]+S*S-k*k)/(2*S),G.conformation.x(Y)-m,G.conformation.y(Y)-y,G.conformation.z(Y)-v]}}}R.sort((function(A,e){return A[0]-e[0]}));var _=0;A:for(var V=0;V<a.length;++V){for(var T=a[V],P=T[0],J=T[1],O=T[2],K=0;K<R.length;++K){var j=R[K],z=j[1];if(P*j[2]+J*j[3]+O*j[4]>z)continue A}++_}o[i[E]]+=s*_*S*S}}}(e,r,Math.min(r+5e3,t.length)),n.label=4;case 4:return r+=5e3,[3,1];case 5:return[2]}}))}))}var lJ,QJ={numberOfSpherePoints:ir.Numeric(92,{min:12,max:360,step:1},{description:"Number of sphere points to sample per atom: 92 (original paper), 960 (BioJava), 3000 (EPPIC) - see Shrake A, Rupley JA: Environment and exposure to solvent of protein atoms. Lysozyme and insulin. J Mol Biol 1973."}),probeSize:ir.Numeric(1.4,{min:.1,max:4,step:.01},{description:"Corresponds to the size of a water molecule: 1.4 (original paper), 1.5 (occassionally used)"}),nonPolymer:ir.Boolean(!1,{description:"Include non-polymer atoms as occluders."}),traceOnly:ir.Boolean(!1,{description:"Compute only using alpha-carbons, if true increase probeSize accordingly (e.g., 4 A). Considers only canonical amino acids."})};!function(A){function e(A,e,r){return F(this,void 0,void 0,(function(){var n,i,o;return U(this,(function(a){switch(a.label){case 0:return n=function(A,e){var r=A.elementCount,n=A.atomicResidueCount,i=e.probeSize,o=e.nonPolymer,a=e.traceOnly,s=e.numberOfSpherePoints;return{structure:A,probeSize:i,nonPolymer:o,traceOnly:a,spherePoints:t(s),scalingConstant:4*Math.PI/s,maxLookupRadius:2*e.probeSize+2*aJ[2],atomRadiusType:new Int8Array(r),serialResidueIndex:new Int32Array(r),area:new Float32Array(n)}}(e,r),function(A){var e=oQ.residue.key,t=oQ.atom,r=t.type_symbol,n=t.label_atom_id,i=t.label_comp_id,o=A.structure,a=A.atomRadiusType,s=A.serialResidueIndex,u=hc.create(o),g=0,c=0,B=-1;u.structure=o;for(var l=0,Q=0,I=o.units.length;l<I;++l){var d=o.units[l],h=d.elements;u.unit=d,g=-1;for(var E=0,f=h.length;E<f;++E){var C=h[E],p=Q+E;u.element=C,g!==(c=e(u))&&++B,g=c;var m=r(u);if(Eo(Bo(m)))a[p]=0,s[p]=-1;else{var y=n(u),v=as(d,C);if(2!==v&&(A.nonPolymer||rs(v))){var D=i(u);!A.traceOnly||("CA"===y||"BB"===y)&&sJ[D]?(ns(v)?a[p]=gJ(0,m):a[p]=5===v?uJ(y,m,D):cJ(m),s[p]=B):(a[p]=0,s[p]=B)}else a[p]=0,s[p]=-1}}Q+=h.length}}(n),[4,BJ(A,n)];case 1:return a.sent(),i=n.area,o=n.serialResidueIndex,[2,{area:i,serialResidueIndex:o}]}}))}))}function t(A){for(var e=[],t=Math.PI*(3-Math.sqrt(5)),r=2/A,n=0;n<A;++n){var i=n*r-1+r/2,o=Math.sqrt(1-i*i),a=n*t;e[e.length]=gA.create(Math.cos(a)*o,i,Math.sin(a)*o)}return e}function r(A,e){return e/(sJ[A]||121)}function n(A,e){var t=e.area,r=e.serialResidueIndex[kn.indexOf(kn.ofSortedArray(A.structure.root.serialMapping.elementIndices),A.element)];return-1===r?-1:t[r]}function i(A,e){var t=n(A,e);return-1===t?-1:r(oQ.atom.label_comp_id(A),t)}A.compute=function(A,t){var r=this;void 0===t&&(t={});var n=w(w({},ir.getDefaultValues(QJ)),t);return Pe.create("Compute Accessible Surface Area",(function(t){return F(r,void 0,void 0,(function(){return U(this,(function(r){switch(r.label){case 0:return[4,e(t,A,n)];case 1:return[2,r.sent()]}}))}))}))},A.normalize=r,A.getValue=n,A.getNormalizedValue=i,A.getFlag=function(A,e){var t=i(A,e);return-1===t?0:t<.16?1:2}}(lJ||(lJ={}));var IJ=w({},QJ),dJ={isBuried:Bf.Dynamic(Fc("computed","accessible-surface-area.is-buried",Ec.Bool),(function(A){if(!TB.isAtomic(A.element.unit))return!1;var e=hJ.get(A.element.structure).value;return!!e&&1===lJ.getFlag(A.element,e)})),isAccessible:Bf.Dynamic(Fc("computed","accessible-surface-area.is-accessible",Ec.Bool),(function(A){if(!TB.isAtomic(A.element.unit))return!1;var e=hJ.get(A.element.structure).value;return!!e&&2===lJ.getFlag(A.element,e)}))},hJ=Hl.createProvider({label:"Accessible Surface Area",descriptor:eo({name:"molstar_accessible_surface_area",symbols:dJ}),type:"root",defaultParams:IJ,getParams:function(A){return IJ},isApplicable:function(A){return!0},obtain:function(A,e,t){return F(void 0,void 0,void 0,(function(){var r,n;return U(this,(function(i){switch(i.label){case 0:return r=w(w({},ir.getDefaultValues(IJ)),t),n={},[4,lJ.compute(e,r).runInContext(A.runtime)];case 1:return[2,(n.value=i.sent(),n)]}}))}))}}),EJ=SA(16448250),fJ={list:ir.ColorList("rainbow",{presetKind:"scale"})},CJ={name:"accessible-surface-area",label:"Accessible Surface Area",category:"Residue Property",factory:function A(e,t){var r,n=Li.create({listOrName:t.list.colors,minLabel:"buried",maxLabel:"exposed",domain:[0,1]}),i=e.structure&&hJ.get(e.structure),o=i?re(i.id,i.version):-1;if((null==i?void 0:i.value)&&e.structure){var a=hc.create(e.structure),s=i.value,u=function(A){var e=lJ.getNormalizedValue(A,s);return-1===e?EJ:n.color(e)};r=function(A){return hc.is(A)&&TB.isAtomic(A.unit)?u(A):oB.isLocation(A)?(a.unit=A.aUnit,a.element=A.aUnit.elements[A.aIndex],u(a)):EJ}}else r=function(){return EJ};return{factory:A,granularity:"group",preferSmoothing:!0,color:r,props:t,contextHash:o,description:"Assigns a color based on the relative accessible surface area of a residue.",legend:n?n.legend:void 0}},getParams:function(A){return fJ},defaultValues:ir.getDefaultValues(fJ),isApplicable:function(A){return!!A.structure},ensureCustomProperties:{attach:function(A,e){return e.structure?hJ.attach(A,e.structure,void 0,!0):Promise.resolve()},detach:function(A){return A.structure&&hJ.ref(A.structure,!1)}}},pJ=J_.create({name:"computed-accessible-surface-area-prop",category:"custom-props",display:{name:"Accessible Surface Area"},ctor:function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.provider=hJ,e.labelProvider={label:function(A){if(e.params.showTooltip)return mJ(A)}},e}return v(e,A),e.prototype.update=function(A){var e=this.params.autoAttach!==A.autoAttach||this.params.showTooltip!==A.showTooltip;return this.params.autoAttach=A.autoAttach,this.params.showTooltip=A.showTooltip,this.ctx.customStructureProperties.setDefaultAutoAttach(this.provider.descriptor.name,this.params.autoAttach),e},e.prototype.register=function(){Qf.addCustomProp(this.provider.descriptor),this.ctx.customStructureProperties.register(this.provider,this.params.autoAttach),this.ctx.representation.structure.themes.colorThemeRegistry.add(CJ),this.ctx.managers.lociLabels.addProvider(this.labelProvider),this.ctx.query.structure.registry.add(vJ),this.ctx.query.structure.registry.add(DJ)},e.prototype.unregister=function(){Qf.removeCustomProp(this.provider.descriptor),this.ctx.customStructureProperties.unregister(this.provider.descriptor.name),this.ctx.representation.structure.themes.colorThemeRegistry.remove(CJ),this.ctx.managers.lociLabels.removeProvider(this.labelProvider),this.ctx.query.structure.registry.remove(vJ),this.ctx.query.structure.registry.remove(DJ)},e}(J_.Handler),params:function(){return{autoAttach:ir.Boolean(!1),showTooltip:ir.Boolean(!0)}}});function mJ(A){if("element-loci"===A.kind){if(0===A.elements.length)return;if(!(c=hJ.get(A.structure).value)||A.structure.customPropertyDescriptors.hasReference(hJ.descriptor))return;for(var e=A.structure.root.serialMapping.getSerialIndex,t=c.area,r=c.serialResidueIndex,n=new Set,i=0,o=function(A,o){var a=o.elements;Tn.forEach(A,(function(A){var s=r[e(o,a[A])];-1===s||n.has(s)||(i+=t[s],n.add(s))}))},a=0,s=A.elements;a<s.length;a++){var u=s[a];o(u.indices,u.unit)}if(0===n.size)return;var g="<small>(".concat(n.size," ").concat(n.size>1?"Residues sum":"Residue",")</small>");return"Accessible Surface Area ".concat(g,": ").concat(i.toFixed(2)," Å<sup>2</sup>")}if("structure-loci"===A.kind){var c;if(!(c=hJ.get(A.structure).value)||A.structure.customPropertyDescriptors.hasReference(hJ.descriptor))return;return"Accessible Surface Area <small>(Whole Structure)</small>: ".concat(Qr(c.area).toFixed(2)," Å<sup>2</sup>")}}var yJ,vJ=xM("Buried Protein Residues",Oc.struct.modifier.union([Oc.struct.modifier.wholeResidues([Oc.struct.modifier.union([Oc.struct.generator.atomGroups({"chain-test":Oc.core.rel.eq([Oc.ammp("objectPrimitive"),"atomistic"]),"residue-test":dJ.isBuried.symbol()})])])]),{description:"Select buried protein residues.",category:RM.Residue,ensureCustomProperties:function(A,e){return hJ.attach(A,e)}}),DJ=xM("Accessible Protein Residues",Oc.struct.modifier.union([Oc.struct.modifier.wholeResidues([Oc.struct.modifier.union([Oc.struct.generator.atomGroups({"chain-test":Oc.core.rel.eq([Oc.ammp("objectPrimitive"),"atomistic"]),"residue-test":dJ.isAccessible.symbol()})])])]),{description:"Select accessible protein residues.",category:RM.Residue,ensureCustomProperties:function(A,e){return hJ.attach(A,e)}}),bJ=J_.create({name:"computed-interactions-prop",category:"custom-props",display:{name:"Interactions"},ctor:function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.provider=WY,e.labelProvider={label:function(A){if(e.params.showTooltip&&"element-loci"===A.kind){if(0===A.elements.length)return;for(var t=[],r=0,n=e.getStructures(A.structure);r<n.length;r++){var i=n[r],o=e.provider.get(i).value;if(o){var a=dI.remap(A,i);if(1===a.elements.length){var s=a.elements[0];if(1===Tn.size(s.indices)){var u=o.unitsFeatures.get(s.unit.id);if(u){for(var g=[],c=[],B=[],l=Tn.start(s.indices),Q=u.types,I=u.groups,d=u.elementsIndex,h=d.indices,E=d.offsets,f=E[l],C=E[l+1];f<C;++f){var p=h[f],m=Q[p],y=I[p];m&&g.push(gk(m)),y&&c.push(ck(y))}g.length&&B.push("<small>Types</small> ".concat(g.join(", "))),c.length&&B.push("<small>Groups</small> ".concat(c.join(", "))),B.length&&t.push("Interaction Feature: ".concat(B.join(" | ")))}}}}}return t.length?t.join("<br/>"):void 0}}},e}return v(e,A),e.prototype.getStructures=function(A){var e=[],t=this.ctx.helpers.substructureParent.get(A);if(t)for(var r=0,n=this.ctx.state.data.select(xd.Generators.ofType(qf.Molecule.Structure,t.transform.ref));r<n.length;r++){var i=n[r];i.obj&&Cr(e,i.obj.data)}return e},e.prototype.update=function(A){var e=this.params.autoAttach!==A.autoAttach||this.params.showTooltip!==A.showTooltip;return this.params.autoAttach=A.autoAttach,this.params.showTooltip=A.showTooltip,this.ctx.customStructureProperties.setDefaultAutoAttach(this.provider.descriptor.name,this.params.autoAttach),e},e.prototype.register=function(){this.ctx.customStructureProperties.register(this.provider,this.params.autoAttach),this.ctx.representation.structure.themes.colorThemeRegistry.add(K_),this.ctx.managers.lociLabels.addProvider(this.labelProvider),this.ctx.representation.structure.registry.add(R_)},e.prototype.unregister=function(){this.ctx.customStructureProperties.unregister(this.provider.descriptor.name),this.ctx.representation.structure.themes.colorThemeRegistry.remove(K_),this.ctx.managers.lociLabels.removeProvider(this.labelProvider),this.ctx.representation.structure.registry.remove(R_)},e}(J_.Handler),params:function(){return{autoAttach:ir.Boolean(!1),showTooltip:ir.Boolean(!0)}}}),wJ=J_.create({name:"computed-secondary-structure-prop",category:"custom-props",display:{name:"Secondary Structure"},ctor:function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.provider=Jl,e}return v(e,A),e.prototype.update=function(A){var e=this.params.autoAttach!==A.autoAttach;return this.params.autoAttach=A.autoAttach,this.ctx.customStructureProperties.setDefaultAutoAttach(this.provider.descriptor.name,this.params.autoAttach),e},e.prototype.register=function(){this.ctx.customStructureProperties.register(this.provider,this.params.autoAttach)},e.prototype.unregister=function(){this.ctx.customStructureProperties.unregister(this.provider.descriptor.name)},e}(J_.Handler),params:function(){return{autoAttach:ir.Boolean(!1)}}}),FJ=J_.create({name:"computed-valence-model-prop",category:"custom-props",display:{name:"Valence Model"},ctor:function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.provider=ik,e.labelProvider={label:function(A){if(e.params.showTooltip&&"element-loci"===A.kind){if(0===A.elements.length)return;for(var 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this.params.autoAttach=A.autoAttach,this.params.showTooltip=A.showTooltip,this.ctx.customStructureProperties.setDefaultAutoAttach(this.provider.descriptor.name,this.params.autoAttach),e},e.prototype.register=function(){this.ctx.customStructureProperties.register(this.provider,this.params.autoAttach),this.ctx.managers.lociLabels.addProvider(this.labelProvider)},e.prototype.unregister=function(){this.ctx.customStructureProperties.unregister(this.provider.descriptor.name),this.ctx.managers.lociLabels.removeProvider(this.labelProvider)},e}(J_.Handler),params:function(){return{autoAttach:ir.Boolean(!1),showTooltip:ir.Boolean(!0)}}});!function(A){var e=this;function t(A){if(dc.is(A.sourceData)){var e=A.sourceData.data.frame.categories.atom_site,t=e.getField("db_name"),r=e.getField("db_acc"),n=e.getField("db_num"),i=e.getField("db_res");if(t&&r&&n&&i){for(var o=A.atomicHierarchy.atomSourceIndex,a=A.atomicHierarchy.residueAtomSegments,s=a.count,u=a.offsets,g=new Array(s),c=new Array(s),B=new Array(s),l=new Array(s),Q=0;Q<s;Q++){var I=o.value(u[Q]);0===t.valueKind(I)?(g[I]=t.str(I),c[I]=r.str(I),B[I]=n.int(I),l[I]=i.str(I)):(g[I]="",c[I]="",B[I]=0,l[I]="")}return{dbName:g,accession:c,num:B,residue:l}}}}A.Provider=Id.createProvider({label:"Best Database Sequence Mapping",descriptor:eo({name:"molstar_best_database_sequence_mapping"}),type:"static",defaultParams:{},getParams:function(){return{}},isApplicable:function(A){var e,t;return dc.is(A.sourceData)&&(null===(t=null===(e=A.sourceData.data.frame.categories)||void 0===e?void 0:e.atom_site)||void 0===t?void 0:t.fieldNames.indexOf("db_name"))>=0},obtain:function(A,r){return F(e,void 0,void 0,(function(){return U(this,(function(A){return[2,{value:t(r)}]}))}))}}),A.getKey=function(e){var t=e.unit.model,r=A.Provider.get(t).value;if(!r)return"";var n=e.unit.elements[e.element],i=t.atomicHierarchy.residueAtomSegments.offsets[n];return r.accession[i]},A.getLabel=function(e){var t=e.unit.model,r=A.Provider.get(t).value;if(r){var n=e.unit.elements[e.element],i=t.atomicHierarchy.residueAtomSegments.offsets[n],o=r.dbName[i];if(o)return"".concat(o," ").concat(r.accession[i]," ").concat(r.num[i]," ").concat(r.residue[i])}}}(yJ||(yJ={}));var UJ,SJ=SA(16448250),NJ=new Map,RJ=w({},yU({type:"colors",colorList:"set-1"})),HJ={name:"best-sequence-database-mapping",label:"Best Database Sequence Mapping",category:"Residue Property",factory:function A(e,t){var r;if(e.structure){for(var n=0,i=e.structure.models;n<i.length;n++){var o=i[n],a=yJ.Provider.get(o).value;if(a)for(var s=0,u=a.accession;s<u.length;s++){var g=u[s];g&&!NJ.has(g)&&NJ.set(g,NJ.size)}}var c=hc.create(e.structure),B=DU(NJ.size+1,t,{valueLabel:function(A){return"".concat(A)}}),l=new Map,Q=function(A){var e=yJ.getKey(A);if(!e)return SJ;if(l.has(e))return l.get(e);var t=B.color(NJ.get(e));return l.set(e,t),t};r=function(A){return hc.is(A)&&TB.isAtomic(A.unit)?Q(A):oB.isLocation(A)?(c.unit=A.aUnit,c.element=A.aUnit.elements[A.aIndex],Q(c)):SJ}}else r=function(){return SJ};return{factory:A,granularity:"group",preferSmoothing:!0,color:r,props:t,description:"Assigns a color based on best dababase sequence mapping."}},getParams:function(A){return RJ},defaultValues:ir.getDefaultValues(RJ),isApplicable:function(A){var e;return!!(null===(e=A.structure)||void 0===e?void 0:e.models.some((function(A){return yJ.Provider.isApplicable(A)})))},ensureCustomProperties:{attach:function(A,e){return F(void 0,void 0,void 0,(function(){var t,r,n;return U(this,(function(i){switch(i.label){case 0:if(!e.structure)return[2];t=0,r=e.structure.models,i.label=1;case 1:return t<r.length?(n=r[t],[4,yJ.Provider.attach(A,n,void 0,!0)]):[3,4];case 2:i.sent(),i.label=3;case 3:return t++,[3,1];case 4:return[2]}}))}))},detach:function(A){if(A.structure)for(var e=0,t=A.structure.models;e<t.length;e++){var r=t[e];yJ.Provider.ref(r,!1)}}}},GJ=J_.create({name:"best-sequence-database-mapping-prop",category:"custom-props",display:{name:"Best Database Sequence 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this.params.autoAttach=A.autoAttach,this.params.showTooltip=A.showTooltip,this.ctx.customStructureProperties.setDefaultAutoAttach(this.provider.descriptor.name,this.params.autoAttach),e},e.prototype.register=function(){this.ctx.customModelProperties.register(this.provider,this.params.autoAttach),this.ctx.representation.structure.themes.colorThemeRegistry.add(HJ),this.ctx.managers.lociLabels.addProvider(this.labelProvider)},e.prototype.unregister=function(){this.ctx.customModelProperties.unregister(this.provider.descriptor.name),this.ctx.representation.structure.themes.colorThemeRegistry.remove(HJ),this.ctx.managers.lociLabels.removeProvider(this.labelProvider)},e}(J_.Handler),params:function(){return{autoAttach:ir.Boolean(!0),showTooltip:ir.Boolean(!0)}}});function MJ(A){if("element-loci"===A.kind){if(0===A.elements.length)return;var e=A.elements[0],t=e.unit,r=hc.create(A.structure,t,t.elements[Tn.getAt(e.indices,0)]);return yJ.getLabel(r)}}!function(A){A.Descriptor={name:"ihm_cross_link_restraint"},A.Provider=io.create(A.Descriptor),A.fromTable=function(A,e){var t={entity_id:A.entity_id_1,asym_id:A.asym_id_1,seq_id:A.seq_id_1,atom_id:A.atom_id_1},r={entity_id:A.entity_id_2,asym_id:A.asym_id_2,seq_id:A.seq_id_2,atom_id:A.atom_id_2};function n(A,e,t){var r=A.get(e);r?r.push(t):A.set(e,[t])}function i(t,r){var i=r.entity_id.value(t),u=r.asym_id.value(t),g=r.seq_id.value(t);if("by-atom"===A.model_granularity.value(t)){var c=e.atomicHierarchy.index.findAtom({auth_seq_id:g,label_asym_id:u,label_atom_id:r.atom_id.value(t),label_entity_id:i});c>=0&&n(o,c,t)}else if(e.coarseHierarchy.isDefined){var B=e.coarseHierarchy.spheres.findSequenceKey(i,u,g);if(B>=0)n(a,B,t);else{var l=e.coarseHierarchy.gaussians.findSequenceKey(i,u,g);l>=0&&n(s,l,t)}}}for(var o=new Map,a=new Map,s=new Map,u=[],g=0;g<A._rowCount;++g)i(g,t),i(g,r);return{getIndicesByElement:function(A,e){var t=function(A){switch(A){case 0:return o;case 1:return a;case 2:return s}}(e),r=t.get(A);return void 0!==r?r:u},data:A}}}(UJ||(UJ={}));var LJ=[];function xJ(A,e,t,r){return"".concat(A,"|").concat(e.id,"|").concat(t,"|").concat(r.id)}var kJ,YJ=function(){function A(A){this.pairs=A;var e=new Map;this.pairs.forEach((function(A,t){var r=xJ(A.indexA,A.unitA,A.indexB,A.unitB),n=e.get(r);n?n.push(t):e.set(r,[t])})),this.count=A.length,this.pairKeyIndices=e}return A.prototype.getPairIndices=function(A,e,t,r){var n=xJ(A,e,t,r);return this.pairKeyIndices.get(n)||LJ},A.prototype.getPairs=function(A,e,t,r){var n=this;return this.getPairIndices(A,e,t,r).map((function(A){return n.pairs[A]}))},A}(),_J=Hl.createProvider({label:"Cross Link Restraint",descriptor:eo({name:"integrative-cross-link-restraint"}),type:"local",defaultParams:{},getParams:function(A){return{}},isApplicable:function(A){return A.models.some((function(A){return!!UJ.Provider.get(A)}))},obtain:function(A,e,t){return F(void 0,void 0,void 0,(function(){return U(this,(function(A){return[2,{value:OJ(e)}]}))}))}});function VJ(A,e,t){for(var r=e.elements,n=r.length,i=e.kind,o=function(e){var n=r[e];t.getIndicesByElement(n,i).forEach((function(t){return A.set(t,e)}))},a=0;a<n;a++)o(a)}function TJ(A,e,t){if(e.model===t.model&&"mmCIF"===e.model.sourceData.kind){var r=UJ.Provider.get(e.model);if(r){var n=new Map,i=new Map;VJ(n,e,r),VJ(i,t,r),n.forEach((function(n,o){var a=i.get(o);void 0!==a&&A.push(JJ(e,n,t,a,r,o),JJ(t,a,e,n,r,o))}))}}}function PJ(A,e){if("mmCIF"===e.model.sourceData.kind){var t=UJ.Provider.get(e.model);if(t){for(var r=e.elements,n=r.length,i=e.kind,o=new Map,a=function(A){var e=r[A];t.getIndicesByElement(e,i).forEach((function(e){var t=o.get(e);t?t.push(A):o.set(e,[A])}))},s=0;s<n;s++)a(s);o.forEach((function(r,n){if(!(r.length<2)){var i=r[0],o=r[1];A.push(JJ(e,i,e,o,t,n),JJ(e,o,e,i,t,n))}}))}}}function JJ(A,e,t,r,n,i){return{unitA:A,indexA:e,unitB:t,indexB:r,restraintType:n.data.restraint_type.value(i),distanceThreshold:n.data.distance_threshold.value(i),psi:n.data.psi.value(i),sigma1:n.data.sigma_1.value(i),sigma2:n.data.sigma_2.value(i)}}function OJ(A){var e=[];if(!A.models.some((function(A){return UJ.Provider.get(A)})))return new YJ(e);for(var t=A.units.length,r=0;r<t;++r){var n=A.units[r];PJ(e,n);for(var i=r+1;i<t;++i){var o=A.units[i];n.model===o.model&&TJ(e,n,o)}}return new YJ(e)}function KJ(A,e,t,r,n){var i=_J.get(e).value;if(!i.count)return Yv.createEmpty(n);var o=r.sizeFactor,a=hc.create(e),s={linkCount:i.count,position:function(A,e,t){var r=i.pairs[t],n=r.unitA,o=r.unitB;n.conformation.position(n.elements[r.indexA],A),o.conformation.position(o.elements[r.indexB],e)},radius:function(A){var e=i.pairs[A];return a.unit=e.unitA,a.element=e.unitA.elements[e.indexA],t.size.size(a)*o}};return I_(0,s,r,n)}!function(A){!function(A){A.CrossLinkRestraint="cross-link-restraint"}(A.Tag||(A.Tag={})),A.isApplicable=function(A){return A.models.some((function(A){return!!UJ.Provider.get(A)}))};var e=gA(),t=gA();function r(A){return A.unitA.conformation.position(A.unitA.elements[A.indexA],e),A.unitB.conformation.position(A.unitB.elements[A.indexB],t),gA.distance(e,t)}function n(A,e){var t=A.pairs[e];return"Cross Link Restraint | Type: ".concat(t.restraintType," | Threshold: ").concat(t.distanceThreshold," Å | Psi: ").concat(t.psi," | Sigma 1: ").concat(t.sigma1," | Sigma 2: ").concat(t.sigma2," | Distance: ").concat(r(t).toFixed(2)," Å")}function i(A,e,t){return jc.fromPairProvider(e.length,(function(t,r,n){var i=A.pairs[e[t]];i.unitA.conformation.position(i.unitA.elements[i.indexA],r),i.unitB.conformation.position(i.unitB.elements[i.indexB],n)}),t)}function o(A,e,t){var r=t[0];if(void 0===r)return"";var i=e.pairs[r];return[n(e,r),aH(oB.Location(A,i.unitA,i.indexA,A,i.unitB,i.indexB))].join("</br>")}A.distance=r,A.Location=function(A,e,t){return sr("cross-link-restraints",{structure:e,crossLinkRestraints:A},t)},A.isLocation=function(A){return!!A&&"data-location"===A.kind&&"cross-link-restraints"===A.tag},A.areLocationsEqual=function(A,e){return A.data.structure===e.data.structure&&A.data.crossLinkRestraints===e.data.crossLinkRestraints&&A.element===e.element},A.locationLabel=function(A){return n(A.data.crossLinkRestraints,A.element)},A.Loci=function(A,e,t){return KN("cross-link-restraints",{structure:A,crossLinkRestraints:e},t,(function(A){return i(e,t,A)}),(function(){return o(A,e,t)}))},A.isLoci=function(A){return!!A&&"data-loci"===A.kind&&"interactions"===A.tag},A.getBoundingSphere=i,A.getLabel=o}(kJ||(kJ={}));var jJ=w(w(w({},sx),r_),{sizeFactor:ir.Numeric(.5,{min:0,max:10,step:.1})});function zJ(A){return ux({defaultProps:ir.getDefaultValues(jJ),createGeometry:KJ,createLocationIterator:qJ,getLoci:ZJ,eachLocation:WJ,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.radialSegments!==t.radialSegments||e.linkCap!==t.linkCap}},A)}function qJ(A){var e=_J.get(A).value,t=e.pairs.length,r=kJ.Location(e,A);return ur(t,1,1,(function(A){return r.element=A,r}),!0)}function ZJ(A,e,t){var r=A.objectId,n=A.groupId;if(t===r){var i=_J.get(e).value;if(i.pairs[n])return kJ.Loci(e,i,[n])}return PN}function WJ(A,e,t){var r=!1;if(kJ.isLoci(A)){if(!BI.areEquivalent(A.data.structure,e))return!1;var n=_J.get(e).value;if(A.data.crossLinkRestraints!==n)return!1;for(var i=0,o=A.elements;i<o.length;i++){var a=o[i];t(qr.ofSingleton(a))&&(r=!0)}}return r}var XJ={"cross-link-restraint":function(A,e){return RL("Cross-link restraint",A,e,zJ)}},$J=w({},jJ),AO={name:kJ.Tag.CrossLinkRestraint,label:"Cross Link Restraint",description:"Displays cross-link restraints.",factory:function(A,e){return vR.createMulti("CrossLinkRestraint",A,e,Fx,XJ)},getParams:function(A,e){return ir.clone($J)},defaultValues:ir.getDefaultValues($J),defaultColorTheme:{name:kJ.Tag.CrossLinkRestraint},defaultSizeTheme:{name:"uniform"},isApplicable:function(A){return kJ.isApplicable(A)},ensureCustomProperties:{attach:function(A,e){return _J.attach(A,e,void 0,!0)},detach:function(A){return _J.ref(A,!1)}}},eO=SA(13421772),tO={domain:ir.Interval([.5,1.5],{step:.01}),list:ir.ColorList("red-grey",{presetKind:"scale"})},rO={name:"cross-link",label:"Cross Link",category:"Miscellaneous",factory:function A(e,t){var r,n=void 0,i=e.structure&&_J.get(e.structure).value;if(i){var o=(n=Li.create({domain:t.domain,listOrName:t.list.colors})).color;r=function(A){if(kJ.isLocation(A)){var e=i.pairs[A.element];if(e)return o(kJ.distance(e)/e.distanceThreshold)}return eO}}else r=function(){return eO};return{factory:A,granularity:"group",color:r,props:t,description:"Colors cross-links by the deviation of the observed distance 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v(e,A),e.prototype.register=function(){this.provider.formatRegistry.add("mmCIF",iO),this.ctx.representation.structure.themes.colorThemeRegistry.add(rO),this.ctx.representation.structure.registry.add(AO)},e.prototype.unregister=function(){this.provider.formatRegistry.remove("mmCIF"),this.ctx.representation.structure.themes.colorThemeRegistry.remove(rO),this.ctx.representation.structure.registry.remove(AO)},e}(J_.Handler)});function iO(A){if(dc.is(A.sourceData)){var e=A.sourceData.data.db.ihm_cross_link_restraint;if(0!==e._rowCount)return UJ.fromTable(e,A)}}var oO,aO={State:l,Representation:Q,Camera:I,Misc:d},sO={Representation:h,Camera:E,CustomProps:f},uO=["target","surroundings","interactions"];!function(A){A.TargetSel="structure-focus-target-sel",A.TargetRepr="structure-focus-target-repr",A.SurrSel="structure-focus-surr-sel",A.SurrRepr="structure-focus-surr-repr",A.SurrNciRepr="structure-focus-surr-nci-repr"}(oO||(oO={}));var gO=new Set([oO.TargetSel,oO.TargetRepr,oO.SurrSel,oO.SurrRepr,oO.SurrNciRepr]),cO=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.currentSource=void 0,e}return v(e,A),Object.defineProperty(e.prototype,"surrLabel",{get:function(){return"[Focus] Surroundings (".concat(this.params.expandRadius," Å)")},enumerable:!1,configurable:!0}),e.prototype.getReprParams=function(A){return w(w({},this.params.targetParams),{type:{name:A.type.name,params:w(w({},A.type.params),{ignoreHydrogens:this.params.ignoreHydrogens,material:this.params.material})}})},e.prototype.ensureShape=function(A){var e,t=this.plugin.state.data,r=t.tree,n=t.build(),i=xd.findUniqueTagsInSubtree(r,A.transform.ref,gO);i[oO.TargetSel]||(i[oO.TargetSel]=n.to(A).apply(wM.Model.StructureSelectionFromBundle,{bundle:jB.Empty,label:"[Focus] Target"},{tags:oO.TargetSel}).ref),i[oO.SurrSel]||(i[oO.SurrSel]=n.to(A).apply(wM.Model.StructureSelectionFromExpression,{expression:Oc.struct.generator.empty(),label:this.surrLabel},{tags:oO.SurrSel}).ref);var o=this.params.components;return o.indexOf("target")>=0&&!i[oO.TargetRepr]&&(i[oO.TargetRepr]=n.to(i[oO.TargetSel]).apply(wM.Representation.StructureRepresentation3D,this.getReprParams(this.params.targetParams),{tags:oO.TargetRepr}).ref),o.indexOf("surroundings")>=0&&!i[oO.SurrRepr]&&(i[oO.SurrRepr]=n.to(i[oO.SurrSel]).apply(wM.Representation.StructureRepresentation3D,this.getReprParams(this.params.surroundingsParams),{tags:oO.SurrRepr}).ref),o.indexOf("interactions")>=0&&!i[oO.SurrNciRepr]&&A.obj&&R_.isApplicable(null===(e=A.obj)||void 0===e?void 0:e.data)&&(i[oO.SurrNciRepr]=n.to(i[oO.SurrSel]).apply(wM.Representation.StructureRepresentation3D,this.params.nciParams,{tags:oO.SurrNciRepr}).ref),{state:t,builder:n,refs:i}},e.prototype.clear=function(A){var e=this.plugin.state.data;this.currentSource=void 0;var t=e.select(xd.Generators.byRef(A).subtree().withTag(oO.TargetSel)),r=e.select(xd.Generators.byRef(A).subtree().withTag(oO.SurrSel));if(0!==t.length||0!==r.length){for(var n=e.build(),i=jB.Empty,o=0,a=t;o<a.length;o++){var s=a[o];n.to(s).update(wM.Model.StructureSelectionFromBundle,(function(A){return w(w({},A),{bundle:i})}))}for(var u=Oc.struct.generator.empty(),g=0,c=r;g<c.length;g++){var B=c[g];n.to(B).update(wM.Model.StructureSelectionFromExpression,(function(A){return w(w({},A),{expression:u})}))}return sV.State.Update(this.plugin,{state:e,tree:n,options:{doNotLogTiming:!0,doNotUpdateCurrent:!0}})}},e.prototype.focus=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s,u,g,c=this;return U(this,(function(B){switch(B.label){case 0:return(e=this.plugin.helpers.substructureParent.get(A.structure))&&e.obj?(this.currentSource=A,t=dI.remap(A,e.obj.data),r=dI.extendToWholeResidues(t),n=jB.fromLoci(r),i=jB.toExpression(n),o=Oc.struct.modifier.includeSurroundings({0:i,radius:this.params.expandRadius,"as-whole-residues":!0}),this.params.excludeTargetFromSurroundings&&(o=Oc.struct.modifier.exceptBy({0:o,by:i})),a=this.ensureShape(e),s=a.state,u=a.builder,g=a.refs,u.to(g[oO.TargetSel]).update(wM.Model.StructureSelectionFromBundle,(function(A){return w(w({},A),{bundle:n})})),u.to(g[oO.SurrSel]).update(wM.Model.StructureSelectionFromExpression,(function(A){return w(w({},A),{expression:o,label:c.surrLabel})})),[4,sV.State.Update(this.plugin,{state:s,tree:u,options:{doNotLogTiming:!0,doNotUpdateCurrent:!0}})]):[2];case 1:return B.sent(),[2]}}))}))},e.prototype.register=function(A){var e=this;this.subscribeObservable(this.plugin.managers.structure.focus.behaviors.current,(function(A){A?e.focus(A.loci):e.clear(Gd.RootRef)}))},e.prototype.update=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s,u,g,c,B,l;return U(this,(function(Q){switch(Q.label){case 0:if(e=this.params,this.params=A,e.excludeTargetFromSurroundings!==A.excludeTargetFromSurroundings)return this.currentSource&&this.focus(this.currentSource),[2,!0];for(t=this.plugin.state.data,r=t.build(),n=xd.Generators.root.subtree(),i=this.params.components,o=i.indexOf("target")>=0,a=0,s=t.select(n.withTag(oO.TargetRepr));a<s.length;a++)l=s[a],o?r.to(l).update(this.getReprParams(this.params.targetParams)):r.delete(l.transform.ref);for(o=i.indexOf("surroundings")>=0,u=0,g=t.select(n.withTag(oO.SurrRepr));u<g.length;u++)l=g[u],o?r.to(l).update(this.getReprParams(this.params.surroundingsParams)):r.delete(l.transform.ref);for(o=i.indexOf("interactions")>=0,c=0,B=t.select(n.withTag(oO.SurrNciRepr));c<B.length;c++)l=B[c],o?r.to(l).update(this.params.nciParams):r.delete(l.transform.ref);return[4,sV.State.Update(this.plugin,{state:t,tree:r,options:{doNotLogTiming:!0,doNotUpdateCurrent:!0}})];case 1:return Q.sent(),A.expandRadius!==e.expandRadius?(this.currentSource&&this.focus(this.currentSource),[2,!0]):[2,!0]}}))}))},e}(J_.WithSubscribers),BO=J_.create({name:"create-structure-focus-representation",display:{name:"Structure Focus Representation"},category:"interaction",ctor:cO,params:function(A,e){return function(A){var e=wM.Representation.StructureRepresentation3D.definition.params(void 0,A);return{expandRadius:ir.Numeric(5,{min:1,max:10,step:1}),targetParams:ir.Group(e,{label:"Target",customDefault:j_(A,void 0,{type:"ball-and-stick",size:"physical",typeParams:{sizeFactor:.26,alpha:.51,adjustCylinderLength:!0}})}),surroundingsParams:ir.Group(e,{label:"Surroundings",customDefault:j_(A,void 0,{type:"ball-and-stick",size:"physical",typeParams:{sizeFactor:.16}})}),nciParams:ir.Group(e,{label:"Non-covalent Int.",customDefault:j_(A,void 0,{type:R_,color:K_,size:bN.BuiltIn.uniform})}),components:ir.MultiSelect(uO,ir.arrayToOptions(uO)),excludeTargetFromSurroundings:ir.Boolean(!1,{label:"Exclude Target",description:'Exclude the focus "target" from the surroudings component.'}),ignoreHydrogens:ir.Boolean(!1),material:Oi.getParam()}}(e)}});function lO(A){return A}!function(A){function e(A){return"chain-id"===A?{name:A,params:NU.defaultValues}:"operator-name"===A?{name:A,params:kU.defaultValues}:{name:A,params:{}}}A.CommonParams={ignoreHydrogens:ir.Optional(ir.Boolean(!1)),quality:ir.Optional(ir.Select("auto",Zi)),theme:ir.Optional(ir.Group({globalName:ir.Optional(ir.Text("")),carbonColor:ir.Optional(ir.Select("chain-id",ir.arrayToOptions(["chain-id","operator-name","element-symbol"]))),symmetryColor:ir.Optional(ir.Text("")),focus:ir.Optional(ir.Group({name:ir.Optional(ir.Text("")),params:ir.Optional(ir.Value({}))}))}))},A.reprBuilder=function(A,t,r){var n,i,o,a,s,u,g=A.state.data.build(),c=A.builders.structure.representation,B={quality:A.managers.structure.component.state.options.visualQuality,ignoreHydrogens:!A.managers.structure.component.state.options.showHydrogens};t.quality&&"auto"!==t.quality&&(B.quality=t.quality),void 0!==t.ignoreHydrogens&&(B.ignoreHydrogens=!!t.ignoreHydrogens);var l=(null===(n=t.theme)||void 0===n?void 0:n.globalName)?null===(i=t.theme)||void 0===i?void 0:i.globalName:void 0,Q=void 0!==(null===(o=t.theme)||void 0===o?void 0:o.carbonColor)?{carbonColor:e(null===(a=t.theme)||void 0===a?void 0:a.carbonColor)}:{},I=r&&(null===(s=t.theme)||void 0===s?void 0:s.symmetryColor)&&function(A){return A.units.some((function(A){return!A.conformation.operator.assembly&&A.conformation.operator.spgrOp>=0}))}(r)?null===(u=t.theme)||void 0===u?void 0:u.symmetryColor:l;return{update:g,builder:c,color:l,symmetryColor:I,typeParams:B,ballAndStickColor:Q}},A.updateFocusRepr=function(A,e,t,r){return A.state.updateBehavior(BO,(function(n){var i=z_(A,e,"ball-and-stick",t||"element-symbol",r);n.surroundingsParams.colorTheme=i,n.targetParams.colorTheme=i}))}}(lO||(lO={}));var QO=lO.CommonParams,IO=lO.reprBuilder,dO=lO.updateFocusRepr,hO=lO({id:"preset-structure-representation-auto",display:{name:"Automatic",description:"Show representations based on the size of the structure. Smaller structures are shown with more detail than larger ones, ranging from atomistic display to coarse surfaces."},params:function(){return QO},apply:function(A,e,t){var r,n,i=null===(n=null===(r=Sd.resolveAndCheck(t.state.data,A))||void 0===r?void 0:r.obj)||void 0===n?void 0:n.data;if(!i)return{};var o=t.config.get(SL.Structure.SizeThresholds)||BI.DefaultSizeThresholds,a=BI.getSize(i,o),s=i.polymerResidueCount/i.polymerGapCount;switch(a){case BI.Size.Gigantic:case BI.Size.Huge:return mO.apply(A,e,t);case BI.Size.Large:return yO.apply(A,e,t);case BI.Size.Medium:if(s>3)return CO.apply(A,e,t);case BI.Size.Small:return vO.apply(A,w(w({},e),{showCarbohydrateSymbol:!0}),t);default:MN()}}}),EO=lO({id:"preset-structure-representation-empty",display:{name:"Empty",description:"Removes all existing representations."},apply:function(A,e,t){return F(this,void 0,void 0,(function(){return U(this,(function(A){return[2,{}]}))}))}}),fO="Basic",CO=lO({id:"preset-structure-representation-polymer-and-ligand",display:{name:"Polymer & Ligand",group:fO,description:"Shows polymers as Cartoon, ligands as Ball & Stick, carbohydrates as 3D-SNFG and water molecules semi-transparent."},params:function(){return QO},apply:function(A,e,t){var r,n,i,o,a,s,u,g,c,B;return F(this,void 0,void 0,(function(){var l,Q,I,d,h,E,f,C,p,m,y,v,D,b,F;return U(this,(function(U){switch(U.label){case 0:return(l=Sd.resolveAndCheck(t.state.data,A))?(F={},[4,DO(t,l,"polymer")]):[2,{}];case 1:return F.polymer=U.sent(),[4,DO(t,l,"ligand")];case 2:return F.ligand=U.sent(),[4,DO(t,l,"non-standard")];case 3:return F.nonStandard=U.sent(),[4,DO(t,l,"branched",{label:"Carbohydrate"})];case 4:return F.branched=U.sent(),[4,DO(t,l,"water")];case 5:return F.water=U.sent(),[4,DO(t,l,"ion")];case 6:return F.ion=U.sent(),[4,DO(t,l,"lipid")];case 7:return F.lipid=U.sent(),[4,DO(t,l,"coarse")];case 8:return F.coarse=U.sent(),Q=F,I=l.obj.data,d={sizeFactor:I.isCoarseGrained?.8:.2},h=((null===(i=null===(n=null===(r=Q.water)||void 0===r?void 0:r.obj)||void 0===n?void 0:n.data)||void 0===i?void 0:i.elementCount)||0)>5e4?"line":"ball-and-stick",E=((null===(s=null===(a=null===(o=Q.lipid)||void 0===o?void 0:o.obj)||void 0===a?void 0:a.data)||void 0===s?void 0:s.elementCount)||0)>2e4?"line":"ball-and-stick",f=IO(t,e,I),C=f.update,p=f.builder,m=f.typeParams,y=f.color,v=f.symmetryColor,D=f.ballAndStickColor,b={polymer:p.buildRepresentation(C,Q.polymer,{type:"cartoon",typeParams:w(w({},m),d),color:v},{tag:"polymer"}),ligand:p.buildRepresentation(C,Q.ligand,{type:"ball-and-stick",typeParams:m,color:y,colorParams:D},{tag:"ligand"}),nonStandard:p.buildRepresentation(C,Q.nonStandard,{type:"ball-and-stick",typeParams:m,color:y,colorParams:D},{tag:"non-standard"}),branchedBallAndStick:p.buildRepresentation(C,Q.branched,{type:"ball-and-stick",typeParams:w(w({},m),{alpha:.3}),color:y,colorParams:D},{tag:"branched-ball-and-stick"}),branchedSnfg3d:p.buildRepresentation(C,Q.branched,{type:"carbohydrate",typeParams:m,color:y},{tag:"branched-snfg-3d"}),water:p.buildRepresentation(C,Q.water,{type:h,typeParams:w(w({},m),{alpha:.6}),color:y,colorParams:{carbonColor:{name:"element-symbol",params:{}}}},{tag:"water"}),ion:p.buildRepresentation(C,Q.ion,{type:"ball-and-stick",typeParams:m,color:y,colorParams:{carbonColor:{name:"element-symbol",params:{}}}},{tag:"ion"}),lipid:p.buildRepresentation(C,Q.lipid,{type:E,typeParams:w(w({},m),{alpha:.6}),color:y,colorParams:{carbonColor:{name:"element-symbol",params:{}}}},{tag:"lipid"}),coarse:p.buildRepresentation(C,Q.coarse,{type:"spacefill",typeParams:m,color:y||"chain-id"},{tag:"coarse"})},[4,C.commit({revertOnError:!1})];case 9:return U.sent(),[4,dO(t,I,null===(g=null===(u=e.theme)||void 0===u?void 0:u.focus)||void 0===g?void 0:g.name,null===(B=null===(c=e.theme)||void 0===c?void 0:c.focus)||void 0===B?void 0:B.params)];case 10:return U.sent(),[2,{components:Q,representations:b}]}}))}))}}),pO=lO({id:"preset-structure-representation-protein-and-nucleic",display:{name:"Protein & Nucleic",group:fO,description:"Shows proteins as Cartoon and RNA/DNA as Gaussian Surface."},params:function(){return QO},apply:function(A,e,t){var r,n,i,o;return F(this,void 0,void 0,(function(){var a,s,u,g,c,B,l,Q,I,d,h,E;return U(this,(function(f){switch(f.label){case 0:return(a=Sd.resolveAndCheck(t.state.data,A))?(E={},[4,bO(t,a,"protein")]):[2,{}];case 1:return E.protein=f.sent(),[4,bO(t,a,"nucleic")];case 2:return E.nucleic=f.sent(),s=E,u=a.obj.data,g={sizeFactor:u.isCoarseGrained?.8:.2},c={radiusOffset:u.isCoarseGrained?2:0,smoothness:u.isCoarseGrained?1:1.5},B=IO(t,e,u),l=B.update,Q=B.builder,I=B.typeParams,d=B.symmetryColor,h={protein:Q.buildRepresentation(l,s.protein,{type:"cartoon",typeParams:w(w({},I),g),color:d},{tag:"protein"}),nucleic:Q.buildRepresentation(l,s.nucleic,{type:"gaussian-surface",typeParams:w(w({},I),c),color:d},{tag:"nucleic"})},[4,l.commit({revertOnError:!0})];case 3:return f.sent(),[4,dO(t,u,null===(n=null===(r=e.theme)||void 0===r?void 0:r.focus)||void 0===n?void 0:n.name,null===(o=null===(i=e.theme)||void 0===i?void 0:i.focus)||void 0===o?void 0:o.params)];case 4:return f.sent(),[2,{components:s,representations:h}]}}))}))}}),mO=lO({id:"preset-structure-representation-coarse-surface",display:{name:"Coarse Surface",group:fO,description:"Shows polymers and lipids as coarse Gaussian Surface."},params:function(){return QO},apply:function(A,e,t){var r,n,i,o;return F(this,void 0,void 0,(function(){var a,s,u,g,c,B,l,Q,I,d,h,E;return U(this,(function(f){switch(f.label){case 0:return(a=Sd.resolveAndCheck(t.state.data,A))?(E={},[4,DO(t,a,"polymer")]):[2,{}];case 1:return E.polymer=f.sent(),[4,DO(t,a,"lipid")];case 2:return E.lipid=f.sent(),s=E,u=a.obj.data,g=BI.getSize(u),c=Object.create(null),g===BI.Size.Gigantic?Object.assign(c,{traceOnly:!u.isCoarseGrained,radiusOffset:2,smoothness:1,visuals:["structure-gaussian-surface-mesh"]}):g===BI.Size.Huge?Object.assign(c,{radiusOffset:u.isCoarseGrained?2:0,smoothness:1}):u.isCoarseGrained&&Object.assign(c,{radiusOffset:2,smoothness:1}),B=IO(t,e,u),l=B.update,Q=B.builder,I=B.typeParams,d=B.symmetryColor,h={polymer:Q.buildRepresentation(l,s.polymer,{type:"gaussian-surface",typeParams:w(w({},I),c),color:d},{tag:"polymer"}),lipid:Q.buildRepresentation(l,s.lipid,{type:"gaussian-surface",typeParams:w(w({},I),c),color:d},{tag:"lipid"})},[4,l.commit({revertOnError:!0})];case 3:return f.sent(),[4,dO(t,u,null===(n=null===(r=e.theme)||void 0===r?void 0:r.focus)||void 0===n?void 0:n.name,null===(o=null===(i=e.theme)||void 0===i?void 0:i.focus)||void 0===o?void 0:o.params)];case 4:return f.sent(),[2,{components:s,representations:h}]}}))}))}}),yO=lO({id:"preset-structure-representation-polymer-cartoon",display:{name:"Polymer Cartoon",group:fO,description:"Shows polymers as Cartoon."},params:function(){return QO},apply:function(A,e,t){var r,n,i,o;return F(this,void 0,void 0,(function(){var a,s,u,g,c,B,l,Q,I,d,h;return U(this,(function(E){switch(E.label){case 0:return(a=Sd.resolveAndCheck(t.state.data,A))?(h={},[4,DO(t,a,"polymer")]):[2,{}];case 1:return h.polymer=E.sent(),s=h,u=a.obj.data,g={sizeFactor:u.isCoarseGrained?.8:.2},c=IO(t,e,u),B=c.update,l=c.builder,Q=c.typeParams,I=c.symmetryColor,d={polymer:l.buildRepresentation(B,s.polymer,{type:"cartoon",typeParams:w(w({},Q),g),color:I},{tag:"polymer"})},[4,B.commit({revertOnError:!0})];case 2:return E.sent(),[4,dO(t,u,null===(n=null===(r=e.theme)||void 0===r?void 0:r.focus)||void 0===n?void 0:n.name,null===(o=null===(i=e.theme)||void 0===i?void 0:i.focus)||void 0===o?void 0:o.params)];case 3:return E.sent(),[2,{components:s,representations:d}]}}))}))}}),vO=lO({id:"preset-structure-representation-atomic-detail",display:{name:"Atomic Detail",group:fO,description:"Shows everything in atomic detail with Ball & Stick."},params:function(){return w(w({},QO),{showCarbohydrateSymbol:ir.Boolean(!1)})},apply:function(A,e,t){var r,n,i,o,a,s;return F(this,void 0,void 0,(function(){var u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,F,S,N,R;return U(this,(function(U){switch(U.label){case 0:return(u=Sd.resolveAndCheck(t.state.data,A))?(N={},[4,DO(t,u,"all")]):[2,{}];case 1:return N.all=U.sent(),N.branched=void 0,g=N,c=u.obj.data,B=c.elementCount>1e5,l=c.atomicResidueCount&&c.elementCount>1e3&&c.atomicResidueCount/c.elementCount<3,Q=c.models[0],I=!!Io.Provider.get(Q)||Qc.isExhaustive(Q),d="ball-and-stick",c.isCoarseGrained?d=c.elementCount>1e6?"point":"spacefill":l&&!I?d="spacefill":B&&(d="line"),(h=e.showCarbohydrateSymbol&&!B&&!l)?(f=(E=Object).assign,C=[g],R={},[4,DO(t,u,"branched",{label:"Carbohydrate"})]):[3,3];case 2:f.apply(E,C.concat([(R.branched=U.sent(),R)])),U.label=3;case 3:return p=IO(t,e,c),m=p.update,y=p.builder,v=p.typeParams,D=p.color,b=p.ballAndStickColor,F=l&&!I?{carbonColor:{name:"element-symbol",params:{}}}:b,S={all:y.buildRepresentation(m,g.all,{type:d,typeParams:v,color:D,colorParams:F},{tag:"all"})},h&&Object.assign(S,{snfg3d:y.buildRepresentation(m,g.branched,{type:"carbohydrate",typeParams:w(w({},v),{alpha:.4,visuals:["carbohydrate-symbol"]}),color:D},{tag:"snfg-3d"})}),[4,m.commit({revertOnError:!0})];case 4:return U.sent(),[4,dO(t,c,null!==(i=null===(n=null===(r=e.theme)||void 0===r?void 0:r.focus)||void 0===n?void 0:n.name)&&void 0!==i?i:D,null!==(s=null===(a=null===(o=e.theme)||void 0===o?void 0:o.focus)||void 0===a?void 0:a.params)&&void 0!==s?s:F)];case 5:return U.sent(),[2,{components:g,representations:S}]}}))}))}});function DO(A,e,t,r){return A.builders.structure.tryCreateComponentStatic(e,t,r)}function bO(A,e,t,r){return A.builders.structure.tryCreateComponentFromSelection(e,bL[t],"selection-".concat(t),r)}var wO={empty:EO,auto:hO,"atomic-detail":vO,"polymer-cartoon":yO,"polymer-and-ligand":CO,"protein-and-nucleic":pO,"coarse-surface":mO},FO={numberOfSpherePoints:ir.Numeric(175,{min:35,max:700,step:1},{description:"Number of spheres/directions to test for membrane placement. Original value is 350."}),stepSize:ir.Numeric(1,{min:.25,max:4,step:.25},{description:"Thickness of membrane slices that will be tested"}),minThickness:ir.Numeric(20,{min:10,max:30,step:1},{description:"Minimum membrane thickness used during refinement"}),maxThickness:ir.Numeric(40,{min:30,max:50,step:1},{description:"Maximum membrane thickness used during refinement"}),asaCutoff:ir.Numeric(40,{min:10,max:100,step:1},{description:"Relative ASA cutoff above which residues will be considered"}),adjust:ir.Numeric(14,{min:0,max:30,step:1},{description:"Minimum length of membrane-spanning regions (original values: 14 for alpha-helices and 5 for beta sheets). Set to 0 to not optimize membrane thickness."}),tmdetDefinition:ir.Boolean(!1,{description:"Use TMDET's classification of membrane-favoring amino acids. TMDET's classification shows better performance on porins and other beta-barrel structures."})},UO=new Set(["ALA","CYS","GLY","HIS","ILE","LEU","MET","PHE","SER","TRP","VAL"]),SO=new Set(["LEU","ILE","VAL","PHE","MET","GLY","TRP","TYR"]);function NO(A,e){var t=this;return Pe.create("Compute Membrane Orientation",(function(r){return F(t,void 0,void 0,(function(){return U(this,(function(t){switch(t.label){case 0:return[4,qO(r,A,e)];case 1:return[2,t.sent()]}}))}))}))}var RO,HO,GO=gA.add,MO=gA.clone,LO=gA.create,xO=gA.distance,kO=gA.dot,YO=gA.magnitude,_O=gA.normalize,VO=gA.scale,TO=gA.scaleAndAdd,PO=gA.set,JO=gA.squaredDistance,OO=gA.sub,KO=gA.zero,jO=new jc;function zO(A,e,t){return F(this,void 0,void 0,(function(){function r(A){return TB.isAtomic(A.unit)?0===A.unit.model.atomicHierarchy.residues.label_seq_id.valueKind(A.unit.residueIndex[A.element]):$O()}var n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,F;return U(this,(function(U){for(n=hc.create(A),i=oQ.atom,o=i.label_atom_id,a=i.label_comp_id,s=i.x,u=i.y,g=i.z,c=e.asaCutoff/100,jO.reset(),B=new Array,l=new Array,Q=new Array,I=e.tmdetDefinition?SO:UO,d=KO(),h=0,E=A.units.length;h<E;++h)for(f=A.units[h],C=f.elements,n.unit=f,p=0,m=C.length;p<m;++p)y=C[p],n.element=y,5===as(f,y)&&r(n)&&("CA"!==o(n)&&"BB"!==o(n)||iK[a(n)]&&(PO(d,s(n),u(n),g(n)),jO.includeStep(d),B.push(A.serialMapping.getSerialIndex(n.unit,n.element)),lJ.getValue(n,t)/iK[a(n)]>c&&(l.push(A.serialMapping.getSerialIndex(n.unit,n.element)),Q.push(nK(I,a(n))))));for(jO.finishedIncludeStep(),v=MO(jO.center),D=0,b=B.length;D<b;D++)oK(n,A,B[D]),PO(d,s(n),u(n),g(n)),jO.radiusStep(d);return F=1.2*Math.sqrt(jO.radiusSq),[2,w(w({},e),{structure:A,offsets:B,exposed:l,hydrophobic:Q,centroid:v,extent:F,large:B.length>5e3})]}))}))}function qO(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:return r=w(w({},ir.getDefaultValues(IJ)),{probeSize:4,traceOnly:!0,numberOfSpherePoints:184}),[4,lJ.compute(e,r).runInContext(A)];case 1:return n=l.sent(),[4,zO(e,t,n)];case 2:return i=l.sent(),o=HO.initial(i),[4,ZO(A,"Placing initial membrane...",i,tK(i,i.numberOfSpherePoints),o)];case 3:return a=l.sent(),[4,ZO(A,"Refining membrane placement...",i,rK(i,a),o)];case 4:return s=l.sent(),u=a.qmax>s.qmax?a:s,!i.adjust||i.large?[3,6]:[4,WO(A,"Adjusting membrane thickness...",i,u,o)];case 5:u=l.sent(),l.label=6;case 6:return g=KO(),c=KO(),OO(g,u.planePoint1,u.planePoint2),_O(g,g),GO(c,u.planePoint1,u.planePoint2),VO(c,c,.5),B=function(A,e,t){for(var r=A.offsets,n=A.structure,i=e.normalVector,o=e.planePoint1,a=e.planePoint2,s=hc.create(n),u=KO(),g=oQ.atom,c=g.x,B=g.y,l=g.z,Q=-kO(i,o),I=-kO(i,a),d=Math.min(Q,I),h=Math.max(Q,I),E=0,f=0,C=r.length;f<C;f++)if(oK(s,n,r[f]),PO(u,c(s),B(s),l(s)),eK(u,i,d,h)){var p=JO(u,t);p>E&&(E=p)}return Math.sqrt(E)}(i,u,c),[2,{planePoint1:u.planePoint1,planePoint2:u.planePoint2,normalVector:g,centroid:c,radius:B}]}}))}))}function ZO(A,e,t,r,n){return F(this,void 0,void 0,(function(){var i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w,F,S,N,R;return U(this,(function(U){switch(U.label){case 0:i=t.centroid,o=t.stepSize,a=t.minThickness,s=t.maxThickness,u=t.large,c=0,B=KO(),l=0,Q=r.length,U.label=1;case 1:return l<Q?A.shouldUpdate&&e&&(l+1)%(u?1:10)==0?[4,A.update({message:e,current:l+1,max:Q})]:[3,3]:[3,5];case 2:U.sent(),U.label=3;case 3:for(I=r[l],OO(B,i,I),VO(B,B,2),d=YO(B),h=HO.sliced(t,o,I,B,d),E=[],v=0,D=d-o;v<D;v+=o)f=KO(),C=KO(),TO(f,I,B,v/d),TO(C,I,B,(v+o)/d),N=h[Math.round(v/o)],E.push(RO.initial(f,C,N));for(p=Math.floor(a/o-1),m=0,y=s;m<=y;){for(v=0,D=E.length-1-p;v<D;v++){for(b=0,w=0,F=0;F<p;F++)S=E[v+F],0===F||F===p-1?(b+=Math.floor(.5*S.stats.hphob),w+=.5*S.stats.hphil):(b+=S.stats.hphob,w+=S.stats.hphil);0!==b&&(R=AK(N={hphob:b,hphil:w},n))>=c&&(c=R,g=RO.scored(I,E[v].planePoint1,E[v+p].planePoint2,N,c,i))}p++,m=(p+1)*o}U.label=4;case 4:return l++,[3,1];case 5:return[2,g]}}))}))}function WO(A,e,t,r,n){return F(this,void 0,void 0,(function(){var i,o,a,s,u,g,c,B,l,Q,I;return U(this,(function(d){switch(d.label){case 0:i=t.minThickness,o=t.large,a=.3,s=xO(r.planePoint1,r.planePoint2),u=XO(t,r).length,g=r,c=0,B=Math.ceil((s-i)/a),d.label=1;case 1:return s>i?(c++,A.shouldUpdate&&e&&c%(o?1:10)==0?[4,A.update({message:e,current:c,max:B})]:[3,3]):[3,5];case 2:d.sent(),d.label=3;case 3:return l=w(w({},t),{maxThickness:s,stepSize:a}),[4,ZO(A,void 0,l,[r.spherePoint],n)];case 4:return(Q=d.sent())&&(I=XO(t,Q).length)>u&&(u=I,g=Q),s-=a,[3,1];case 5:return[2,g]}}))}))}function XO(A,e){for(var t,r,n=A.offsets,i=A.structure,o=A.adjust,a=e.normalVector,s=e.planePoint1,u=e.planePoint2,g=i.units,c=i.serialMapping,B=c.elementIndices,l=c.unitIndices,Q=KO(),I=oQ.residue.auth_seq_id,d=-kO(a,s),h=-kO(a,u),E=Math.min(d,h),f=Math.max(d,h),C=Object.create(null),p=Object.create(null),m=[],y=null,v=g[0].model.atomicHierarchy.residues.auth_seq_id.value(g[0].chainIndex[0])-1,D=0,b=0,w=0,F=n.length;w<F;w++){var U=g[l[n[w]]];TB.isAtomic(U)||$O();var S=B[n[w]];(t=U.model.atomicHierarchy.chains.auth_asym_id.value(U.chainIndex[S]))!==y&&(C[t]||(C[t]=new Set),p[t]||(p[t]=new 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Y=-kO(a,Q);if(Math.min(k,Y)<E&&Math.max(k,Y)>f){if(oK(H,i,n[L]),N=I(H),oK(H,i,n[x]),R=I(H),Math.abs(N-R)+1<o)return[];G.push(m[w])}}}return G}function $O(){throw new Error("Property only available for atomic models.")}function AK(A,e){e.hphob<1&&(e.hphob=.1),e.hphil<1&&(e.hphil+=1);var t=A.hphob+A.hphil;return(A.hphob*(e.hphil-A.hphil)-A.hphil*(e.hphob-A.hphob))/Math.sqrt(t*e.hphob*e.hphil*(e.hphob+e.hphil-t))}function eK(A,e,t,r){var n=-kO(e,A);return n>t&&n<r}function tK(A,e){for(var t,r,n,i=A.centroid,o=A.extent,a=[],s=0,u=1,g=e+1;u<g;u++){t=2*(u-1)/(2*e-1)-1,r=Math.acos(t),n=1===u||u===e?0:(s+3.6/Math.sqrt(2*e*(1-t*t)))%(2*Math.PI);var c=LO(o*Math.sin(n)*Math.sin(r)+i[0],o*Math.cos(r)+i[1],o*Math.cos(n)*Math.sin(r)+i[2]);a[u-1]=c,s=n}return a}function rK(A,e){for(var t=A.numberOfSpherePoints,r=A.extent,n=tK(A,3e4),i=4,o=[],a=2*r/t;o.length<t;){var s=(a+i)*(a+i);o=[];for(var u=0,g=n.length;u<g;u++)JO(n[u],e.spherePoint)<s&&o.push(n[u]);i+=.2}return o}function nK(A,e){return A.has(e)}!function(A){A.initial=function(A,e,t){return{planePoint1:A,planePoint2:e,stats:t}},A.scored=function(A,e,t,r,n,i){var o=KO();return OO(o,i,A),{planePoint1:e,planePoint2:t,stats:r,normalVector:o,spherePoint:A,qmax:n}}}(RO||(RO={})),function(A){A.initial=function(A){for(var e=A.exposed,t=A.hydrophobic,r=0,n=0,i=0,o=e.length;i<o;i++)t[i]?r++:n++;return{hphob:r,hphil:n}};var e=KO();A.sliced=function(A,t,r,n,i){for(var o=A.exposed,a=A.hydrophobic,s=A.structure,u=s.units,g=s.serialMapping,c=g.unitIndices,B=g.elementIndices,l=[],Q=0,I=i-t;Q<I;Q+=t)l[l.length]={hphob:0,hphil:0};for(Q=0,I=o.length;Q<I;Q++){var d=u[c[o[Q]]],h=B[o[Q]];PO(e,d.conformation.x(h),d.conformation.y(h),d.conformation.z(h)),OO(e,e,r),a[Q]?l[Math.floor(kO(e,n)/i/t)].hphob++:l[Math.floor(kO(e,n)/i/t)].hphil++}return l}}(HO||(HO={}));var iK={ALA:69.41,ARG:201.25,ASN:106.24,ASP:102.69,CYS:96.75,GLU:134.74,GLN:140.99,GLY:32.33,HIS:147.08,ILE:137.96,LEU:141.12,LYS:163.3,MET:156.64,PHE:164.11,PRO:119.9,SER:78.11,THR:101.7,TRP:211.26,TYR:177.38,VAL:114.28};function oK(A,e,t){return A.structure=e,A.unit=e.units[e.serialMapping.unitIndices[t]],A.element=e.serialMapping.elementIndices[t],A}var aK,sK=w({},FO);!function(A){!function(A){A.Representation="membrane-orientation-3d"}(A.Tag||(A.Tag={}));var e=gA();A.symbols={isTransmembrane:Bf.Dynamic(Fc("computed","membrane-orientation.is-transmembrane",Ec.Bool),(function(A){var t=A.element,r=t.unit,n=t.structure,i=oQ.atom,o=i.x,a=i.y,s=i.z;if(!TB.isAtomic(r))return 0;var u=uK.get(n).value;if(!u)return 0;gA.set(e,o(A.element),a(A.element),s(A.element));var g=u,c=g.normalVector,B=g.planePoint1,l=g.planePoint2;return function(A,e,t,r){var n=-kO(e,t),i=-kO(e,r);return eK(A,e,Math.min(n,i),Math.max(n,i))}(e,c,B,l)}))}}(aK||(aK={}));var uK=Hl.createProvider({label:"Membrane 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layer"})},BK=w(w(w({},Yv.Params),cK),{sectorOpacity:ir.Numeric(.5,{min:0,max:1,step:.01})}),lK=w(w(w({},cy.Params),cK),{lineSizeAttenuation:ir.Boolean(!0),linesSize:ir.Numeric(.3,{min:.01,max:50,step:.01}),dashedLines:ir.Boolean(!0)}),QK={"bilayer-planes":function(A,e){return bR(vK,Yv.Utils,{modifyState:function(A){return w(w({},A),{markerActions:RN.Highlighting})},modifyProps:function(A){return w(w({},A),{alpha:A.sectorOpacity,ignoreLight:!0,doubleSided:!1})}})},"bilayer-rims":function(A,e){return bR(fK,cy.Utils,{modifyState:function(A){return w(w({},A),{markerActions:RN.Highlighting})}})}},IK=w(w(w({},BK),lK),{visuals:ir.MultiSelect(["bilayer-planes","bilayer-rims"],ir.objectToOptions(QK))});function dK(A,e){return vR.createMulti("Membrane Orientation",A,e,Fx,QK)}var hK={name:"membrane-orientation",label:"Membrane Orientation",description:"Displays a grid of points representing membrane layers.",factory:dK,getParams:function(A,e){return ir.clone(IK)},defaultValues:ir.getDefaultValues(IK),defaultColorTheme:{name:"shape-group"},defaultSizeTheme:{name:"shape-group"},isApplicable:function(A){return A.elementCount>0},ensureCustomProperties:{attach:function(A,e){return uK.attach(A,e,void 0,!0)},detach:function(A){return uK.ref(A,!1)}}};function EK(A){return"".concat(tH(BI.Loci(A))," | Membrane Orientation")}function fK(A,e,t,r){var n=uK.get(e).value,i=n.planePoint1,o=n.planePoint2,a=n.centroid,s=n.radius,u=t.radiusFactor*s,g=gy.create(128,64,null==r?void 0:r.geometry);return CK(g,i,a,u,t),CK(g,o,a,u,t),ib.create("Bilayer rims",e,g.getLines(),(function(){return t.color}),(function(){return t.linesSize}),(function(){return EK(e)}))}function CK(A,e,t,r,n,i){for(var o=yK(e,t,r),a=o.indices,s=o.vertices,u=0,g=a.length;u<g;u+=3)if(!n.dashedLines||u%2!=1){var c=3*a[u],B=3*a[u+1],l=s[c],Q=s[c+1],I=s[c+2],d=s[B],h=s[B+1],E=s[B+2];A.add(l,Q,I,d,h,E,0)}}var pK=nA(),mK=gA();function yK(A,e,t){return 0===gA.dot(gA.unitY,gA.sub(mK,A,e))?nA.targetTo(pK,A,e,gA.unitY):nA.targetTo(pK,A,e,gA.unitX),nA.setTranslation(pK,A),nA.mul(pK,pK,nA.rotX90),Dy(sG({radius:t,segments:64}),pK)}function vK(A,e,t,r){var n=uK.get(e).value,i=n.planePoint1,o=n.planePoint2,a=n.centroid,s=n.radius,u=kD.createState(128,64,r&&r.geometry),g=t.radiusFactor*s;return DK(u,i,a,g),DK(u,o,a,g),ib.create("Bilayer planes",e,kD.getMesh(u),(function(){return t.color}),(function(){return 1}),(function(){return EK(e)}))}function DK(A,e,t,r){var n=yK(e,t,r);A.currentGroup=0,kD.addPrimitive(A,nA.id,n),kD.addPrimitiveFlipped(A,nA.id,n)}var bK=aK.Tag,wK=J_.create({name:"anvil-membrane-orientation-prop",category:"custom-props",display:{name:"Membrane Orientation",description:"Data calculated with ANVIL algorithm."},ctor:function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.provider=uK,e}return v(e,A),e.prototype.register=function(){Qf.addCustomProp(this.provider.descriptor),this.ctx.customStructureProperties.register(this.provider,this.params.autoAttach),this.ctx.representation.structure.registry.add(hK),this.ctx.query.structure.registry.add(FK),this.ctx.genericRepresentationControls.set(bK.Representation,(function(A){var e=[];return A.structures.forEach((function(A){var t,r=null===(t=A.genericRepresentations)||void 0===t?void 0:t.filter((function(A){return A.cell.transform.transformer.id===UK.id}))[0];r&&e.push(r)})),[e,"Membrane Orientation"]})),this.ctx.builders.structure.representation.registerPreset(SK)},e.prototype.update=function(A){var e=this.params.autoAttach!==A.autoAttach;return this.params.autoAttach=A.autoAttach,this.ctx.customStructureProperties.setDefaultAutoAttach(this.provider.descriptor.name,this.params.autoAttach),e},e.prototype.unregister=function(){Qf.removeCustomProp(this.provider.descriptor),this.ctx.customStructureProperties.unregister(this.provider.descriptor.name),this.ctx.representation.structure.registry.remove(hK),this.ctx.query.structure.registry.remove(FK),this.ctx.genericRepresentationControls.delete(bK.Representation),this.ctx.builders.structure.representation.unregisterPreset(SK)},e}(J_.Handler),params:function(){return{autoAttach:ir.Boolean(!1)}}}),FK=xM("Residues Embedded in Membrane",Oc.struct.modifier.union([Oc.struct.modifier.wholeResidues([Oc.struct.modifier.union([Oc.struct.generator.atomGroups({"chain-test":Oc.core.rel.eq([Oc.ammp("objectPrimitive"),"atomistic"]),"atom-test":aK.symbols.isTransmembrane.symbol()})])])]),{description:"Select residues that are embedded between the membrane layers.",category:RM.Residue,ensureCustomProperties:function(A,e){return uK.attach(A,e)}}),UK=Zf.BuiltIn({name:"membrane-orientation-3d",display:{name:"Membrane Orientation",description:"Membrane Orientation planes and rims. 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g=gA.normalize(sj,gA.sub(sj,o,n)),c=gA.normalize(uj,gA.cross(uj,g,aj)),B=gA.normalize(gA(),gA.cross(gj,g,c));gA.negate(B,B),gA.copy(aj,B),t.push(B)}var l=gA();return gA.normalize(l,gA.cross(l,gA.sub(sj,A[e-3],A[e-2]),gA.sub(uj,A[e-2],A[e-1]))),t.push(l),t}(r),a=function(A,e){var t=[],r=gA.normalize(Ij,gA.sub(Ij,A[1],A[0]));t.push(Qj(e[0],r));for(var n=0;n<A.length-2;++n){var i=gA.normalize(Ij,gA.sub(Ij,A[n+2],A[n+1])),o=gA.sub(dj,A[n+1],A[n]),a=gA.dot(o,o),s=gA.scale(hj,o,2/a*gA.dot(o,t[n].r)),u=gA.sub(Ej,t[n].r,s),g=gA.scale(fj,o,2/a*gA.dot(o,t[n].t)),c=gA.sub(Cj,t[n].t,g),B=gA.sub(pj,i,c),l=gA.dot(B,B),Q=gA.scale(mj,o,2/l*gA.dot(B,u)),I=gA.sub(yj,u,Q);t.push(Qj(I,i))}return t}(r,o),s=i,u=[],g=gA.copy(vj,r[0]),c=0;c<i-2;++c){var B=r[c+1];if(gA.distance(g,B)>=e){var l=QA.rotationTo(QA.zero(),gA.create(0,0,1),a[c].t),Q=QA.setAxisAngle(QA.zero(),a[c].t,3.6*Math.random()),I=nA.fromQuat(nA.zero(),QA.multiply(QA.zero(),Q,l));nA.setTranslation(I,B),u.push(I),gA.copy(g,B)}if(u.length>=s)break}return u}var bj=SA(13421772),wj={},Fj={name:"cellpack-generate",label:"CellPack Generate",category:"Chain Property",factory:function A(e,t){var r,n,i=e.structure&&VK.get(e.structure).value;if(e.structure&&i){for(var o=pU(i.packingsCount),a=UA.fromColor(UA(),o[i.packingIndex]),s=[Math.max(0,a[0]-35),Math.min(360,a[0]+35)],u=e.structure.root.models,g=0,c=0,B=u;c<B.length;c++){var l=B[c];g=Math.max(g,dd.TrajectoryInfo.get(l).size)}var Q=DU(g,{palette:{name:"generate",params:{hue:s,chroma:[30,80],luminance:[15,85],clusteringStepCount:50,minSampleCount:800,maxCount:75}}},{minLabel:"Min",maxLabel:"Max"});n=Q.legend;for(var I=new Map,d=0,h=u.length;d<h;++d){var E=dd.TrajectoryInfo.get(u[d]).index;I.set(dd.TrajectoryInfo.get(u[d]).index,Q.color(E))}r=function(A){return hc.is(A)?I.get(dd.TrajectoryInfo.get(A.unit.model).index):oB.isLocation(A)?I.get(dd.TrajectoryInfo.get(A.aUnit.model).index):bj}}else r=function(){return bj};return{factory:A,granularity:"instance",color:r,props:t,description:"Gives every model in a CellPack packing a unique generated color similar to other models in the packing.",legend:n}},getParams:function(A){return wj},defaultValues:ir.getDefaultValues(wj),isApplicable:function(A){return!!A.structure&&A.structure.elementCount>0&&!!VK.get(A.structure).value}},Uj={traceOnly:ir.Boolean(!0),representation:ir.Select("gaussian-surface",ir.arrayToOptions(["gaussian-surface","spacefill","point","orientation"]))},Sj=lO({id:"preset-structure-representation-cellpack-packing",display:{name:"CellPack Packing"},params:function(){return Uj},apply:function(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 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a=A.managers.asset,s=t.source.model?parseInt(t.source.model):0,u=!!t.ingtype&&"transmembrane"===t.ingtype,"surface"===i&&(u=!0),g=n.get(e),c=[],g?[3,32]:o?o.name.endsWith(".cif")?[4,A.runTask(a.resolve(o,"string"))]:[3,4]:[3,14];case 1:return Q=p.sent(),c.push(Q),[4,RK(A,Q.data)];case 2:return l=p.sent().blocks[0],[4,A.runTask(Dc(l))];case 3:return g=p.sent(),[3,13];case 4:return o.name.endsWith(".bcif")?[4,A.runTask(a.resolve(o,"binary"))]:[3,8];case 5:return B=p.sent(),c.push(B),[4,RK(A,B.data)];case 6:return l=p.sent().blocks[0],[4,A.runTask(Dc(l))];case 7:return g=p.sent(),[3,13];case 8:return o.name.endsWith(".pdb")?[4,A.runTask(a.resolve(o,"string"))]:[3,12];case 9:return Q=p.sent(),c.push(Q),[4,HK(A,Q.data,e)];case 10:return I=p.sent(),[4,A.runTask(sw(I))];case 11:return g=p.sent(),[3,13];case 12:throw new Error("unsupported file type '".concat(o.name,"'"));case 13:return[3,31];case 14:if(!e.match(/^[1-9][a-zA-Z0-9]{3,3}$/i))return[3,26];if(!u)return[3,22];p.label=15;case 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N={auth_asym_id:Hs.ofColumn(S(n.auth_asym_id)),auth_atom_id:Hs.ofColumn(S(n.auth_atom_id)),auth_comp_id:Hs.ofColumn(S(n.auth_comp_id)),auth_seq_id:Hs.ofNumbers(d),B_iso_or_equiv:Hs.ofColumn(XA.ofConst(0,i,XA.Schema.float)),Cartn_x:Hs.ofNumbers(B),Cartn_y:Hs.ofNumbers(l),Cartn_z:Hs.ofNumbers(Q),group_PDB:Hs.ofColumn(XA.ofConst("ATOM",i,XA.Schema.str)),id:Hs.ofColumn(XA.ofLambda({value:function(A){return A},areValuesEqual:function(A,e){return 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a=u.sent(),[2,Mj(A,a,t)]}}))}))}function kj(A,e,t,r,n,i){return F(this,void 0,void 0,(function(){var o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y;return U(this,(function(v){switch(v.label){case 0:if(o=e.name,a=e.source,s=e.results,u=e.nbCurve,"None"===a.pdb)return[2];if(!(g=r[a.pdb])){if("HIV1_CAhex_0_1_0"===o)return[2];if("HIV1_CAhexCyclophilA_0_1_0"===o)return[2];if("iLDL"===o)return[2];if("peptides"===o)return[2];if("lypoglycane"===o)return[2]}return[4,Gj(A,a.pdb||o,e,t,n,i,g)];case 1:return c=v.sent(),B=c.model,l=c.assets,B?u?[4,xj(A,o,e,Lj(e),B)]:[3,3]:[2];case 2:return Q=v.sent(),[3,5];case 3:return s&&0!==s.length?((I=a.bu?a.bu:void 0)&&(I="AU"===I?void 0:I.slice(2)),[4,Mj(A,B,e,{assembly:I})]):[2];case 4:Q=v.sent(),d=!0,(h=e.principalVector?e.principalVector:e.principalAxis)&&(d=!1,E=function(A){for(var e=0,t=0,r=0,n=0,i=A.units.length;n<i;++n)for(var o=A.units[n],a=o.elements,s=o.conformation,u=s.x,g=s.y,c=s.z,B=0,l=a.length;B<l;++B){var Q=a[B];e+=u(Q),t+=g(Q),r+=c(Q)}var I=A.elementCount;return gA.create(e/I,t/I,r/I)}(Q),gA.negate(E,E),f=nA.identity(),nA.setTranslation(f,E),Q=BI.transform(Q,f),e.offset&&(C=gA.create(e.offset[0],e.offset[1],e.offset[2]),gA.exactEquals(C,gA.zero())||("surface"!==i&&gA.negate(C,C),y=nA.identity(),nA.setTranslation(y,C),Q=BI.transform(Q,y))),h&&(p=gA.create(h[0],h[1],h[2]),gA.exactEquals(p,gA.unitZ)||(m=QA.identity(),QA.rotationTo(m,p,gA.unitZ),y=nA.fromQuat(nA.zero(),m),Q=BI.transform(Q,y)))),Q=function(A,e,t){for(var r=BI.Builder({label:A}),n=t.units,i=0,o=e.length;i<o;++i)for(var a="".concat(i+1),s=gs.create(a,e[i],{assembly:{id:a,operId:i,operList:[a]}}),u=0,g=n;u<g.length;u++){var c=g[u];r.addWithOperator(c,s)}return r.getStructure()}(o,function(A,e){return e?A.map((function(A){return function(A,e){var t=QA.create(-e[3],e[0],e[1],e[2]),r=nA.fromQuat(nA.zero(),t);return nA.transpose(r,r),nA.scale(r,r,gA.create(-1,1,-1)),nA.setTranslation(r,A),r}(A[0],A[1])})):A.map((function(A){return function(A,e){var t=QA.create(-e[0],e[1],e[2],-e[3]),r=nA.fromQuat(nA.zero(),t),n=gA.create(-A[0],A[1],A[2]);return nA.setTranslation(r,n),r}(A[0],A[1])}))}(s,d),Q),v.label=5;case 5:return[2,{structure:Q,assets:l}]}}))}))}function Yj(A,e,t,r){var n=this;return Pe.create("Create Packing Structure",(function(i){return F(n,void 0,void 0,(function(){var n,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w,F,S,N,R,H;return U(this,(function(U){switch(U.label){case 0:for(l in n=e.ingredients,o=e.location,a=e.name,s=[],u=new Hj,g=[],c=[],B=[],n)B.push(l);Q=0,U.label=1;case 1:return Q<B.length?(I=B[Q],i.shouldUpdate?[4,i.update(I)]:[3,3]):[3,6];case 2:U.sent(),U.label=3;case 3:return[4,kj(A,n[I],t,r,u,o)];case 4:(d=U.sent())&&(g.push(d.structure),s.push.apply(s,d.assets),(h=n[I].color)?c.push(SA.fromNormalizedRgb(h[0],h[1],h[2])):c.push(SA.fromNormalizedRgb(1,0,0))),U.label=5;case 5:return Q++,[3,1];case 6:return i.shouldUpdate?[4,i.update("".concat(a," - units"))]:[3,8];case 7:U.sent(),U.label=8;case 8:E=[],f=0,C=0,p=0,m=g,U.label=9;case 9:return p<m.length?(y=m[p],i.shouldUpdate?[4,i.update("".concat(y.label))]:[3,11]):[3,13];case 10:U.sent(),U.label=11;case 11:for(v=0,D=0,b=y.units;D<b.length;D++)w=b[D],F=w.invariantId+f,S=w.chainGroupId+C,w.invariantId>v&&(v=w.invariantId),E.push(TB.create(E.length,F,S,w.traits,w.kind,w.model,w.conformation.operator,w.elements,w.props));f+=v+1,C+=1,U.label=12;case 12:return p++,[3,9];case 13:return i.shouldUpdate?[4,i.update("".concat(a," - structure"))]:[3,15];case 14:U.sent(),U.label=15;case 15:for(N=BI.create(E,{label:a+"."+o}),R=0,H=N.models.length;R<H;++R)dd.TrajectoryInfo.set(N.models[R],{size:H,index:R});return[2,{structure:N,assets:s,colors:c}]}}))}))}))}function _j(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:r=0,n=e.length,c.label=1;case 1:return r<n?"HIV1_capsid_3j3q_PackInner_0_1_0"!==e[r].name&&"HIV_capsid"!==e[r].name?[3,3]:(i=$t.getUrlAsset(A.managers.asset,"".concat(t,"/extras/rna_allpoints.json")),[4,A.runTask(A.managers.asset.resolve(i,"json",!1))]):[3,4];case 2:for(o=c.sent(),a=o.data.points,s=[],u=0,g=a.length;u<g;u+=3)s.push(gA.fromArray(gA(),a,u));e[r].ingredients.RNA={source:{pdb:"RNA_U_Base.pdb",transform:{center:!1}},results:[],name:"RNA",nbCurve:1,curve0:s},c.label=3;case 3:return++r,[3,1];case 4:return[2]}}))}))}function Vj(A,e,t,r){return F(this,void 0,void 0,(function(){var n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E;return U(this,(function(f){switch(f.label){case 0:if(n=void 0,null!==r.ingredients){for(i="".concat(e,".bcif"),o=0,a=r.ingredients;o<a.length;o++)if(c=a[o],i===c.name){n=c;break}if(!n)for(s="".concat(e,".cif"),u=0,g=r.ingredients;u<g.length;u++)if(c=g[u],s===c.name){n=c;break}}return B=!1,l=!1,Q=t.build().toRoot(),n?n.name.endsWith(".cif")?Q=Q.apply(wM.Data.ReadFile,{file:n,isBinary:!1,label:n.name},{state:{isGhost:!0}}):n.name.endsWith(".bcif")&&(Q=Q.apply(wM.Data.ReadFile,{file:n,isBinary:!0,label:n.name},{state:{isGhost:!0}})):e.toLowerCase().endsWith(".bcif")?(I=$t.getUrlAsset(A.managers.asset,"".concat(r.baseUrl,"/membranes/").concat(e)),Q=Q.apply(wM.Data.Download,{url:I,isBinary:!0,label:e},{state:{isGhost:!0}})):e.toLowerCase().endsWith(".cif")?(I=$t.getUrlAsset(A.managers.asset,"".concat(r.baseUrl,"/membranes/").concat(e)),Q=Q.apply(wM.Data.Download,{url:I,isBinary:!1,label:e},{state:{isGhost:!0}})):e.toLowerCase().endsWith(".ply")?(I=$t.getUrlAsset(A.managers.asset,"".concat(r.baseUrl,"/geometries/").concat(e)),Q=Q.apply(wM.Data.Download,{url:I,isBinary:!1,label:e},{state:{isGhost:!0}}),l=!0):(I=$t.getUrlAsset(A.managers.asset,"".concat(r.baseUrl,"/membranes/").concat(e,".bcif")),Q=Q.apply(wM.Data.Download,{url:I,isBinary:!0,label:e},{state:{isGhost:!0}}),B=!0),d={type:{name:"assembly",params:{id:"1"}}},B?[4,Q.apply(wM.Data.ParseCif,void 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e(A){return{PDB_model_num:oQ.unit.model_num(A),asym_id:oQ.chain.label_asym_id(A),auth_asym_id:oQ.chain.auth_asym_id(A),seq_id:oQ.residue.label_seq_id(A),auth_seq_id:oQ.residue.auth_seq_id(A),comp_id:oQ.atom.label_comp_id(A),alt_id:oQ.atom.label_alt_id(A),ins_code:oQ.residue.pdbx_PDB_ins_code(A)}}function t(A){var e=Az.get(A.model).value;if(void 0===e||void 0===e.data)throw new Error("No custom properties data");return e.data.hasMultipleModels}function r(A,e,t){return function(A,e,t,r){for(var n=hc.create(t,r,-1),i=Tn.indexOf(r.elements,A),o=Tn.indexOf(r.elements,e),a=[],s=i;s<=o;s++){n.element=r.elements[s];var u=oQ.atom.label_alt_id(n);""===u||a.includes(u)||a.push(u)}return a}(t.elements[A.start],t.elements[A.end-1],e,t)}A.hasMultipleModels=t;var n=function(){function A(A){var e=Az.get(A.model).value;if(void 0===e||void 0===e.data)throw new Error("No custom properties 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n.structure=e,n.unit=t,n.handler=r,n.chainIt=vi.transientSegments(t.model.atomicHierarchy.chainAtomSegments,t.elements),n.residueIt=vi.transientSegments(t.model.atomicHierarchy.residueAtomSegments,t.elements),n}return v(e,A),e.prototype.getAtomIndices=function(A,e){for(var t=e.start,r=e.end-1,n=[];t!==r;t++){var i=this.unit.elements[t],o=hc.create(this.structure,this.unit,i),a=oQ.atom.label_atom_id(o);A.includes(a)&&n.push(i)}if(0===n.length)throw new Error("Element ".concat(name," not found on residue ").concat(e.index));return n},e.prototype.getAtomPositions=function(A){for(var e=this.unit.conformation.invariantPosition,t=[],r=0,n=A;r<n.length;r++){var i=n[r],o=gA.zero();e(i,o),t.push(o)}return t},e.prototype.handleStep=function(A,e){for(var t=this,r=this.hasMultipleModels?this.modelNum:-1,n=!1,i=hc.create(this.structure,this.unit,-1),o=hc.create(this.structure,this.unit,-1),a=0;a<A.length;a++)for(var s=A[a],u=0;u<e.length;u++){var g=e[u];i.element=s.O3.index,o.element=g.OP1.index;var c=this.stepToName(this.entryId,r,i,o,s.O3.fakeAltId,g.OP1.fakeAltId),B=this.getPyramidByName(c),l=B.pyramid,Q=B.index;if(void 0!==l){var I=function(A,e){A.element.structure=t.structure,A.element.unit=t.unit,A.element.element=e},d=2*Q;I(this.data.locations[d],i.element),I(this.data.locations[d+1],o.element),this.handler(l,s,g,d,d+1),n=!0}}if(!n)throw new Error("Bogus step")},e.prototype.processFirstResidue=function(A,e){for(var t=this.getAtomIndices(["O3'","O3*"],A),r=this.getAtomPositions(t),n=[{O3:{pos:r[0],index:t[0],fakeAltId:""}}],i=1;i<t.length;i++)n.push({O3:{pos:r[i],index:t[i],fakeAltId:""}});if(1===n.length&&e.length>1)for(n[0].O3.fakeAltId=e[0],i=1;i<e.length;i++)n.push({O3:{pos:r[0],index:t[0],fakeAltId:e[i]}});return n},e.prototype.processSecondResidue=function(A,e){var t=this.getAtomIndices(["OP1"],A),r=this.getAtomIndices(["OP2"],A),n=this.getAtomIndices(["O5'","O5*"],A),i=this.getAtomIndices(["P"],A),o=this.getAtomPositions(t),a=this.getAtomPositions(r),s=this.getAtomPositions(n),u=this.getAtomPositions(i),g=[];if(1===t.length&&e.length>1)for(var c=0,B=e;c<B.length;c++){var l=B[c];g.push({pos:o[0],index:t[0],fakeAltId:l})}else for(var Q=0;Q<t.length;Q++)g.push({pos:o[Q],index:t[Q],fakeAltId:""});var I=function(A,e,t,r){if(A>=e.length){var n=e.length-1;return{pos:t[n],index:e[n],fakeAltId:r}}return{pos:t[A],index:e[A],fakeAltId:r}},d=[];for(Q=0;Q<g.length;Q++){var h=I(Q,r,a,l=g[Q].fakeAltId),E=I(Q,n,s,l),f=I(Q,i,u,l);d.push({OP1:g[Q],OP2:h,O5:E,P:f})}return d},e.prototype.step=function(A){var e=r(A,this.structure,this.unit),t=this.processFirstResidue(A,e),n=r(A=this.residueIt.move(),this.structure,this.unit);return{firstAtoms:t,secondAtoms:this.processSecondResidue(A,n)}},e.prototype.walk=function(){for(;this.chainIt.hasNext;){this.residueIt.setSegment(this.chainIt.move());for(var A=this.residueIt.move();this.residueIt.hasNext;)try{var e=this.step(A),t=e.firstAtoms,r=e.secondAtoms;this.handleStep(t,r)}catch(e){A=this.residueIt.move()}}},e}(n);A.UnitWalker=i}(tz||(tz={}));var uz=nA.identity(),gz=gA.zero(),cz=gA.zero();function Bz(A,e,t){gA.sub(gz,A,e),gA.scale(gz,gz,t),gA.add(A,A,gz)}var lz=w({},hx);function Qz(A){var e=A.structure,t=A.group.units.length,r=Az.get(e.model).value;if(void 0===r||void 0===r.data)return ur(0,1,1,(function(){return ar}));var n=r.data.locations;return ur(n.length,t,1,(function(A,e){return n.length<=A?ar:n[A]}))}function Iz(A,e,t,r,n,i){if(!TB.isAtomic(e))return Yv.createEmpty(i);var o=Az.get(t.model).value;if(void 0===o||void 0===o.data)return Yv.createEmpty(i);if(0===o.data.pyramids.length)return Yv.createEmpty(i);var a=kD.createState(512,512,i),s=new tz.UnitWalker(t,e,(function(A,e,t,r,n){if(-1===r||-1===n)throw new Error("Invalid location index");var i=(A.confal_score-20)/100,o=e.O3.pos,s=t.OP1.pos,u=t.OP2.pos,g=t.O5.pos,c=t.P.pos;Bz(o,c,i),Bz(s,c,i),Bz(u,c,i),Bz(g,c,i),function(A,e,t){gA.sub(A,e,t),gA.scale(A,A,.5),gA.add(A,A,t)}(cz,o,g),a.currentGroup=r;var B=my(3);B.add(o,s,u),B.add(o,cz,s),B.add(o,u,cz),kD.addPrimitive(a,uz,B.getPrimitive()),a.currentGroup=n,(B=my(3)).add(cz,g,s),B.add(cz,u,g),B.add(g,u,s),kD.addPrimitive(a,uz,B.getPrimitive())}));return s.walk(),kD.getMesh(a)}function dz(A,e,t){var r=A.groupId,n=A.objectId,i=A.instanceId;if(n!==t)return PN;var o=e.structure,a=e.group.units[i];if(!TB.isAtomic(a))return PN;var s=Az.get(o.model).value;if(void 0===s||void 0===s.data)return PN;var u=s.data.locations;if(u.length<=r)return PN;var g=oQ.atom.label_alt_id(Jj.toElementLocation(u[r]));return GL(o,a,a.residueIndex[u[r].element.element],g)}function hz(A,e,t){return!1}function Ez(A){return Ex({defaultProps:ir.getDefaultValues(lz),createGeometry:Iz,createLocationIterator:Qz,getLoci:dz,eachLocation:hz,setUpdateState:function(A,e,t){}},A)}var fz={"confal-pyramids-symbol":function(A,e){return Ix("Confal Pyramids Symbol Mesh",A,e,Ez)}},Cz=w({},hx),pz={name:"confal-pyramids",label:"Confal Pyramids",description:"Displays schematic depiction of conformer classes and confal values",factory:function(A,e){return vR.createMulti("Confal Pyramids",A,e,Fx,fz)},getParams:function(A,e){return ir.clone(Cz)},defaultValues:ir.getDefaultValues(Cz),defaultColorTheme:{name:"confal-pyramids"},defaultSizeTheme:{name:"uniform"},isApplicable:function(A){return A.models.some((function(A){return Kj.isApplicable(A)}))},ensureCustomProperties:{attach:function(A,e){return Az.attach(A,e.model,void 0,!0)},detach:function(A){return Az.ref(A.model,!1)}}},mz=lO({id:"preset-structure-representation-confal-pyramids",display:{name:"Confal Pyramids",group:"Annotation",description:"Schematic depiction of conformer class and confal value."},isApplicable:function(A){return A.data.models.length>=1&&A.data.models.some((function(A){return Kj.isApplicable(A)}))},params:function(){return lO.CommonParams},apply:function(A,e,t){var r;return F(this,void 0,void 0,(function(){var n,i,o,a,s,u,g,c,B,l,Q,I=this;return U(this,(function(d){switch(d.label){case 0:return n=Sd.resolveAndCheck(t.state.data,A),i=null===(r=null==n?void 0:n.obj)||void 0===r?void 0:r.data.model,n&&i?[4,t.runTask(Pe.create("Confal Pyramids",(function(A){return F(I,void 0,void 0,(function(){return U(this,(function(e){switch(e.label){case 0:return[4,Az.attach({runtime:A,assetManager:t.managers.asset},i)];case 1:return e.sent(),[2]}}))}))})))]:[2,{}];case 1:return d.sent(),[4,wO.auto.apply(A,w({},e),t)];case 2:return o=d.sent(),a=o.components,s=o.representations,[4,t.builders.structure.tryCreateComponentStatic(n,"nucleic",{label:"Confal Pyramids"})];case 3:return u=d.sent(),g=lO.reprBuilder(t,e),c=g.update,B=g.builder,l=g.typeParams,s&&(Q=B.buildRepresentation(c,u,{type:pz,typeParams:l,color:sz},{tag:"confal-pyramdis"})),[4,c.commit({revertOnError:!0})];case 4:return d.sent(),[2,{components:w(w({},a),{pyramids:u}),representations:w(w({},s),{pyramidsRepr:Q})}]}}))}))}}),yz=J_.create({name:"dnatco-confal-pyramids-prop",category:"custom-props",display:{name:"Confal Pyramids",description:"Schematic depiction of conformer class and confal value."},ctor:function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.provider=Az,e.labelConfalPyramids={label:function(A){e.params.showToolTip}},e}return v(e,A),e.prototype.register=function(){this.ctx.customModelProperties.register(this.provider,this.params.autoAttach),this.ctx.managers.lociLabels.addProvider(this.labelConfalPyramids),this.ctx.representation.structure.themes.colorThemeRegistry.add(sz),this.ctx.representation.structure.registry.add(pz),this.ctx.builders.structure.representation.registerPreset(mz)},e.prototype.update=function(A){var e=this.params.autoAttach!==A.autoAttach;return this.params.autoAttach=A.autoAttach,this.params.showToolTip=A.showToolTip,this.ctx.customModelProperties.setDefaultAutoAttach(this.provider.descriptor.name,this.params.autoAttach),e},e.prototype.unregister=function(){this.ctx.customModelProperties.unregister(Az.descriptor.name),this.ctx.managers.lociLabels.removeProvider(this.labelConfalPyramids),this.ctx.representation.structure.registry.remove(pz),this.ctx.representation.structure.themes.colorThemeRegistry.remove(sz),this.ctx.builders.structure.representation.unregisterPreset(mz)},e}(J_.Handler),params:function(){return{autoAttach:ir.Boolean(!0),showToolTip:ir.Boolean(!0)}}});function vz(A,e){if("bcif"===A.ext)try{if(Ru(e).encoder.startsWith("VolumeServer"))return"dscif"}catch(A){}else if("cif"===A.ext){var t=e;if(t.startsWith("data_SERVER\n#\n_density_server_result"))return"dscif";if(t.includes("atom_site_fract_x")||t.includes("atom_site.fract_x"))return"coreCif"}return-1}var Dz="Trajectory";function bz(A,e){return A.builders.structure.hierarchy.applyPreset(e.trajectory,"default")}var wz={label:"mmCIF",description:"mmCIF",category:Dz,stringExtensions:["cif","mmcif","mcif"],binaryExtensions:["bcif"],isApplicable:function(A,e){return"mmcif"===A.ext||"mcif"===A.ext||("cif"===A.ext||"bcif"===A.ext)&&-1===vz(A,e)},parse:function(A,e,t){return F(void 0,void 0,void 0,(function(){var r,n,i,o,a;return U(this,(function(s){switch(s.label){case 0:return r=A.state.data,[4,(n=r.build().to(e).apply(wM.Data.ParseCif,void 0,{state:{isGhost:!0}})).apply(wM.Model.TrajectoryFromMmCif,void 0,{tags:null==t?void 0:t.trajectoryTags}).commit({revertOnError:!0})];case 1:return i=s.sent(),((null===(a=null===(o=n.selector.cell)||void 0===o?void 0:o.obj)||void 0===a?void 0:a.data.blocks.length)||0)>1&&A.state.data.updateCellState(n.ref,{isGhost:!1}),[2,{trajectory:i}]}}))}))},visuals:bz},Fz={label:"cifCore",description:"CIF Core",category:Dz,stringExtensions:["cif"],isApplicable:function(A,e){return"cif"===A.ext&&"coreCif"===vz(A,e)},parse:function(A,e,t){return F(void 0,void 0,void 0,(function(){var r,n,i,o,a;return U(this,(function(s){switch(s.label){case 0:return r=A.state.data,[4,(n=r.build().to(e).apply(wM.Data.ParseCif,void 0,{state:{isGhost:!0}})).apply(wM.Model.TrajectoryFromCifCore,void 0,{tags:null==t?void 0:t.trajectoryTags}).commit({revertOnError:!0})];case 1:return i=s.sent(),((null===(a=null===(o=n.selector.cell)||void 0===o?void 0:o.obj)||void 0===a?void 0:a.data.blocks.length)||0)>1&&A.state.data.updateCellState(n.ref,{isGhost:!1}),[2,{trajectory:i}]}}))}))},visuals:bz};function Uz(A,e){var t=this;return function(r,n,i){return F(t,void 0,void 0,(function(){return U(this,(function(t){switch(t.label){case 0:return[4,r.state.data.build().to(n).apply(A,e,{tags:null==i?void 0:i.trajectoryTags}).commit({revertOnError:!0})];case 1:return[2,{trajectory:t.sent()}]}}))}))}}var Sz={label:"PDB",description:"PDB",category:Dz,stringExtensions:["pdb","ent"],parse:Uz(wM.Model.TrajectoryFromPDB),visuals:bz},Nz={label:"PDBQT",description:"PDBQT",category:Dz,stringExtensions:["pdbqt"],parse:Uz(wM.Model.TrajectoryFromPDB,{isPdbqt:!0}),visuals:bz},Rz={label:"XYZ",description:"XYZ",category:Dz,stringExtensions:["xyz"],parse:Uz(wM.Model.TrajectoryFromXYZ),visuals:bz},Hz=[["mmcif",wz],["cifCore",Fz],["pdb",Sz],["pdbqt",Nz],["gro",{label:"GRO",description:"GRO",category:Dz,stringExtensions:["gro"],binaryExtensions:[],parse:Uz(wM.Model.TrajectoryFromGRO),visuals:bz}],["xyz",Rz],["mol",{label:"MOL",description:"MOL",category:Dz,stringExtensions:["mol"],parse:Uz(wM.Model.TrajectoryFromMOL),visuals:bz}],["sdf",{label:"SDF",description:"SDF",category:Dz,stringExtensions:["sdf","sd"],parse:Uz(wM.Model.TrajectoryFromSDF),visuals:bz}],["mol2",{label:"MOL2",description:"MOL2",category:Dz,stringExtensions:["mol2"],parse:Uz(wM.Model.TrajectoryFromMOL2),visuals:bz}]];function Gz(A,e){return F(this,void 0,void 0,(function(){var t,r;return U(this,(function(n){switch(n.label){case 0:return[4,Lz(A,e,{offset:0,size:64e3})];case 1:for(t=n.sent(),r=t.length-1;r>=0&&0===t[r];r--);return[2,Ru(t.slice(0,r+1))]}}))}))}function Mz(A,e,t,r){return F(this,void 0,void 0,(function(){var n,i;return U(this,(function(o){switch(o.label){case 0:if(!e.offsets[r])throw new Error("Resolution ".concat(r," not available."));return[4,Lz(A,t,e.offsets[r])];case 1:return n=o.sent(),[4,A.runTask(Pe.create("Unzip",(function(A){return e=n,Gt(A,new Uint8Array(e.buffer,e.byteOffset+2,e.length-6),undefined);var e})))];case 2:return i=o.sent(),[2,{header:e,resolution:r,data:Ru(i)}]}}))}))}function Lz(A,e,t){return F(this,void 0,void 0,(function(){return U(this,(function(r){switch(r.label){case 0:return"string"!=typeof e?[3,2]:[4,A.runTask(A.fetch({url:e,headers:[["Range","bytes=".concat(t.offset,"-").concat(t.offset+t.size-1)]],type:"binary"}))];case 1:return[2,r.sent()];case 2:return[2,e.slice(t.offset,t.offset+t.size)]}}))}))}function xz(A,e){return F(this,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:for(t=function(A){var e=A.data,t=0;CA(e,(function(A){return CA(A,(function(A){return t+=A.start.length}))}));var r={entity_id:new Array(t),chromosome:new Array(t),seq_id_begin:new Int32Array(t),seq_id_end:new Int32Array(t),start:new Int32Array(t),x:new Float32Array(t),y:new Float32Array(t),z:new Float32Array(t),r:new Float32Array(t),haplotype:new Array(t)},n=[gA(),gA(),gA()],i=0;return CA(e,(function(A,e){CA(A,(function(A,t){var o="".concat(t,"-").concat(e),a=A.start.length;if(0!==a){var s=A.x[0],u=A.y[0],g=A.z[0];gA.set(n[0],s,u,g),gA.set(n[2],s,u,g);for(var c=0;c<a;c++){r.entity_id[i]=o,r.chromosome[i]=t,r.start[i]=A.start[c],r.seq_id_begin[i]=i,r.seq_id_end[i]=i,s=A.x[c],u=A.y[c],g=A.z[c],gA.set(n[1],s,u,g),c+1<a?gA.set(n[2],A.x[c+1],A.y[c+1],A.z[c+1]):gA.set(n[2],s,u,g),r.x[i]=s,r.y[i]=u,r.z[i]=g,r.r[i]=2/3*Math.min(gA.distance(n[0],n[1]),gA.distance(n[1],n[2])),r.haplotype[i]=e;var B=n[0];n[0]=n[1],n[1]=B,i++}1===a&&(r.r[i-1]=1)}}))})),r}(e),r=t.seq_id_begin.length,n=new Array(r),i=new Pb,o={customName:""},a=0;a<r;++a)s=t.entity_id[a],o.customName=s,u=i.getEntityId(s,7,s,o),n[a]=u;return g=$A.ofPartialColumns(PI.ihm_sphere_obj_site,{id:XA.range(0,r),entity_id:XA.ofStringArray(n),seq_id_begin:XA.ofIntArray(t.seq_id_begin),seq_id_end:XA.ofIntArray(t.seq_id_end),asym_id:XA.ofStringArray(t.chromosome),Cartn_x:XA.ofFloatArray(t.x),Cartn_y:XA.ofFloatArray(t.y),Cartn_z:XA.ofFloatArray(t.z),object_radius:XA.ofFloatArray(t.r),rmsf:XA.ofConst(0,r,XA.Schema.float),model_id:XA.ofConst(1,r,XA.Schema.int)},r),[4,fd(JI({entity:i.getEntityTable(),ihm_model_list:$A.ofPartialColumns(PI.ihm_model_list,{model_id:XA.ofIntArray([1]),model_name:XA.ofStringArray(["G3D Model"])},1),ihm_sphere_obj_site:g}),{kind:"g3d",name:"G3D",data:e},A)];case 1:return c=B.sent(),_z.set(c.representative,{haplotypes:Object.keys(e.data),haplotype:t.haplotype,resolution:e.resolution,start:t.start,chroms:t.chromosome}),[2,c]}}))}))}function kz(A){var e=this;return Pe.create("Parse G3D",(function(t){return F(e,void 0,void 0,(function(){return U(this,(function(e){return[2,xz(t,A)]}))}))}))}var Yz={haplotype:Bf.Dynamic(Fc("g3d","haplotype",Ec.Str),(function(A){if(TB.isAtomic(A.element.unit))return"";var e=_z.get(A.element.unit.model);if(!e)return"";var t=A.element.unit.model.coarseHierarchy.spheres.seq_id_begin.value(A.element.element);return e.haplotype[t]||""})),chromosome:Bf.Dynamic(Fc("g3d","chromosome",Ec.Str),(function(A){return TB.isAtomic(A.element.unit)?"":A.element.unit.model.coarseHierarchy.spheres.asym_id.value(A.element.element)||""})),region:Bf.Dynamic(Fc("g3d","region",Ec.Num),(function(A){if(TB.isAtomic(A.element.unit))return"";var e=_z.get(A.element.unit.model);if(!e)return 0;var t=A.element.unit.model.coarseHierarchy.spheres.seq_id_begin.value(A.element.element);return e.start[t]||0}))},_z=io.create({name:"g3d_info"}),Vz={label:function(A){if("element-loci"===A.kind&&!VN.isEmpty(A)){var e=A.elements[0];if(1===A.elements.length&&!TB.isAtomic(e.unit)){var t=_z.get(e.unit.model);if(t){var r=e.unit.elements[Tn.getAt(e.indices,0)],n=e.unit.model.coarseHierarchy.spheres.seq_id_begin.value(r);return"<b>Start:</b> ".concat(t.start[n]," <small>| resolution ").concat(t.resolution,"<small>")}}}}},Tz={label:"G3D",description:"G3D",category:Dz,binaryExtensions:["g3d"],parse:function(A,e){return F(void 0,void 0,void 0,(function(){return U(this,(function(t){switch(t.label){case 0:return[4,A.state.data.build().to(e).apply(Oz,{},{state:{isGhost:!0}}).apply(jz).commit()];case 1:return[2,{trajectory:t.sent()}]}}))}))},visuals:Pz};function Pz(A,e){return F(this,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:return[4,(t=A.builders.structure).createModel(e.trajectory)];case 1:return(r=c.sent())?[4,t.createStructure(r)]:[2];case 2:if(n=c.sent(),!(i=_z.get(r.data)))return[2];for(o=A.build().to(n),a=j_(A,void 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e.state={isExpanded:!!e.props.param.isExpanded,lightness:0},e.toggleExpanded=function(A){e.setState({isExpanded:!e.state.isExpanded}),A.currentTarget.blur()},e.onClickSwatch=function(A){var t=SA(+(A.currentTarget.getAttribute("data-color")||"0"));t!==e.props.value&&(e.props.param.isExpanded||e.setState({isExpanded:!1}),e.update(t))},e.onR=function(A){var t=SA.toRgb(e.props.value),r=t[1],n=t[2],i=SA.fromRgb(A,r,n);i!==e.props.value&&e.update(i)},e.onG=function(A){var t=SA.toRgb(e.props.value),r=t[0],n=t[2],i=SA.fromRgb(r,A,n);i!==e.props.value&&e.update(i)},e.onB=function(A){var t=SA.toRgb(e.props.value),r=t[0],n=t[1],i=SA.fromRgb(r,n,A);i!==e.props.value&&e.update(i)},e.onLighten=function(){e.update(SA.lighten(e.props.value,.1))},e.onDarken=function(){e.update(SA.darken(e.props.value,.1))},e}return v(e,A),e.prototype.update=function(A){this.props.onChange({param:this.props.param,name:this.props.name,value:A})},e.prototype.swatch=function(){var 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t=A[0],r=A[1];return(0,Zz.jsxs)("div",{children:[(0,Zz.jsx)("div",{className:"msp-table-legend-color",style:{backgroundColor:SA.toStyle(r)}},void 0),(0,Zz.jsx)("div",w({className:"msp-table-legend-text"},{children:t}),void 0)]},e)}))}),void 0)},e}(mq.PureComponent),hX=function(A){function e(e){var t=A.call(this,e)||this;return t.state={show:!1},t.handleHover=t.handleHover.bind(t),t.handleHoverOff=t.handleHoverOff.bind(t),t.deletePoint=t.deletePoint.bind(t),t}return v(e,A),e.prototype.handleHover=function(){this.setState({show:!0});var A=BA.create(this.props.nX,this.props.nY);this.props.onmouseover(A)},e.prototype.handleHoverOff=function(){this.setState({show:!1}),this.props.onmouseover(void 0)},e.prototype.deletePoint=function(){this.props.delete(this.props.id)},e.prototype.render=function(){return[(0,Zz.jsx)("circle",{r:"10",id:"".concat(this.props.id),cx:this.props.x,cy:this.props.y,onClick:this.props.onclick,onDoubleClick:this.props.delete(this.props.id),onMouseEnter:this.handleHover,onMouseLeave:this.handleHoverOff,onMouseDown:this.props.onmousedown,fill:"black"},"".concat(this.props.id,"circle"))]},e}(mq.Component),EX=function(A){function e(e){var t=A.call(this,e)||this;t.handleKeyDown=function(A){},t.handleKeyUp=function(A){},t.handleClick=function(A){return function(A){}},t.handleMouseDown=function(A){return function(e){if(0!==A&&A!==t.state.points.length-1&&!t.state.canSelectMultiple){var r=t.normalizePoint(BA.create(t.state.points[A][0],t.state.points[A][1]));t.ghostPoints.push(document.createElementNS(t.namespace,"circle")),t.ghostPoints[0].setAttribute("r","10"),t.ghostPoints[0].setAttribute("fill","orange"),t.ghostPoints[0].setAttribute("cx","".concat(r[0])),t.ghostPoints[0].setAttribute("cy","".concat(r[1])),t.ghostPoints[0].setAttribute("style","display: none"),t.gElement.appendChild(t.ghostPoints[0]),t.updatedX=r[0],t.updatedY=r[1],t.selected=[A]}}},t.deletePoint=function(A){return function(e){if(0!==A&&A!==t.state.points.length-1){var r=t.state.points.filter((function(e,t){return t!==A}));r.sort((function(A,e){return A[0]===e[0]?0===A[0]?A[1]-e[1]:1===A[1]?e[1]-A[1]:A[1]-e[1]:A[0]-e[0]})),t.setState({points:r}),t.change(r),e.stopPropagation()}}},t.myRef=mq.createRef(),t.state={points:[BA.create(0,0),BA.create(1,0)],copyPoint:void 0,canSelectMultiple:!1},t.height=400,t.width=600,t.padding=70,t.selected=void 0,t.ghostPoints=[],t.namespace="http://www.w3.org/2000/svg";for(var r=0,n=t.props.data;r<n.length;r++){var i=n[r];t.state.points.push(i)}return t.state.points.sort((function(A,e){return A[0]===e[0]?0===A[0]?A[1]-e[1]:1===A[1]?e[1]-A[1]:A[1]-e[1]:A[0]-e[0]})),t.handleDrag=t.handleDrag.bind(t),t.handleMultipleDrag=t.handleMultipleDrag.bind(t),t.handleDoubleClick=t.handleDoubleClick.bind(t),t.refCallBack=t.refCallBack.bind(t),t.handlePointUpdate=t.handlePointUpdate.bind(t),t.change=t.change.bind(t),t.handleKeyUp=t.handleKeyUp.bind(t),t.handleLeave=t.handleLeave.bind(t),t.handleEnter=t.handleEnter.bind(t),t}return v(e,A),e.prototype.render=function(){var A=this.renderPoints(),e=this.renderLines();return[(0,Zz.jsx)("div",{children:(0,Zz.jsxs)("svg",w({className:"msp-canvas",ref:this.refCallBack,viewBox:"0 0 ".concat(this.width+this.padding," ").concat(this.height+this.padding),onMouseMove:this.handleDrag,onMouseUp:this.handlePointUpdate,onMouseLeave:this.handleLeave,onMouseEnter:this.handleEnter,tabIndex:0,onKeyDown:this.handleKeyDown,onKeyUp:this.handleKeyUp,onDoubleClick:this.handleDoubleClick},{children:[(0,Zz.jsxs)("g",w({stroke:"black",fill:"black"},{children:[e,A]}),void 0),(0,Zz.jsx)("g",{className:"ghost-points",stroke:"black",fill:"black"},void 0)]}),void 0)},"LineGraph"),(0,Zz.jsx)("div",{id:"modal-root"},"modal")]},e.prototype.componentDidMount=function(){this.gElement=document.getElementsByClassName("ghost-points")[0]},e.prototype.change=function(A){var e=A.slice();e.shift(),e.pop(),this.props.onChange(e)},e.prototype.handleDrag=function(A){if(void 0!==this.selected){var e,t=this.myRef.createSVGPoint(),r=this.padding/2;t.x=A.clientX,t.y=A.clientY;var n=t.matrixTransform(this.myRef.getScreenCTM().inverse());BA.create(n.x,n.y),e=(n.x<r||n.x>this.width+r)&&(n.y>this.height+r||n.y<r)?BA.create(this.updatedX,this.updatedY):n.x<r?BA.create(r,n.y):n.x>this.width+r?BA.create(this.width+r,n.y):n.y>this.height+r?BA.create(n.x,this.height+r):n.y<r?BA.create(n.x,r):BA.create(n.x,n.y),this.updatedX=e[0],this.updatedY=e[1];var i=this.unNormalizePoint(e);this.ghostPoints[0].setAttribute("style","display: visible"),this.ghostPoints[0].setAttribute("cx","".concat(e[0])),this.ghostPoints[0].setAttribute("cy","".concat(e[1])),this.props.onDrag(i)}},e.prototype.handleMultipleDrag=function(){},e.prototype.handlePointUpdate=function(A){var e=this.selected;if(!this.state.canSelectMultiple)if(void 0!==e&&0!==e[0]&&e[0]!==this.state.points.length-1){this.selected=void 0;var t=this.unNormalizePoint(BA.create(this.updatedX,this.updatedY)),r=this.state.points.filter((function(A,t){return t!==e[0]}));r.push(t),r.sort((function(A,e){return A[0]===e[0]?0===A[0]?A[1]-e[1]:1===A[1]?e[1]-A[1]:A[1]-e[1]:A[0]-e[0]})),this.setState({points:r}),this.change(r),this.gElement.innerHTML="",this.ghostPoints=[],document.removeEventListener("mousemove",this.handleDrag,!0),document.removeEventListener("mouseup",this.handlePointUpdate,!0)}else this.setState({copyPoint:void 0})},e.prototype.handleDoubleClick=function(A){var e=this.myRef.createSVGPoint();e.x=A.clientX,e.y=A.clientY;var t=e.matrixTransform(this.myRef.getScreenCTM().inverse()),r=this.state.points,n=this.padding/2;if(!(t.x<n||t.x>this.width+n||t.y>this.height+n||t.y<this.padding/2)){var i=this.unNormalizePoint(BA.create(t.x,t.y));r.push(i),r.sort((function(A,e){return A[0]===e[0]?0===A[0]?A[1]-e[1]:1===A[1]?e[1]-A[1]:A[1]-e[1]:A[0]-e[0]})),this.setState({points:r}),this.change(r)}},e.prototype.handleLeave=function(){void 0!==this.selected&&(document.addEventListener("mousemove",this.handleDrag,!0),document.addEventListener("mouseup",this.handlePointUpdate,!0))},e.prototype.handleEnter=function(){document.removeEventListener("mousemove",this.handleDrag,!0),document.removeEventListener("mouseup",this.handlePointUpdate,!0)},e.prototype.normalizePoint=function(A){var e=this.padding/2,t=this.width+e,r=this.height+e,n=A[0]*(t-e)+e,i=A[1]*(r-e)+e,o=this.height+this.padding-i;return BA.create(n,o)},e.prototype.unNormalizePoint=function(A){var e=this.padding/2,t=this.width+e,r=this.height+e,n=(A[0]-e)/(t-e),i=(this.height+this.padding-A[1]-e)/(r-e);return BA.create(n,i)},e.prototype.refCallBack=function(A){A&&(this.myRef=A)},e.prototype.renderPoints=function(){for(var A,e=[],t=0;t<this.state.points.length;t++)0!==t&&t!==this.state.points.length-1&&(A=this.normalizePoint(this.state.points[t]),e.push((0,Zz.jsx)(hX,{id:t,x:A[0],y:A[1],nX:this.state.points[t][0],nY:this.state.points[t][1],selected:!1,delete:this.deletePoint,onmouseover:this.props.onHover,onmousedown:this.handleMouseDown(t),onclick:this.handleClick(t)},t)));return e},e.prototype.renderLines=function(){for(var A,e,t,r,n,i,o=[],a=[],s=0,u=this.state.points;s<u.length;s++){var g=u[s];A=this.padding/2,e=this.width+A,t=this.height+A,r=g[0]*(e-A)+A,n=g[1]*(t-A)+A,i=this.height+this.padding-n,o.push(BA.create(r,i))}for(var c=o,B=c.length,l=0;l<B-1;l++){var Q=c[l][0],I=c[l][1],d=c[l+1][0],h=c[l+1][1];a.push((0,Zz.jsx)("line",{x1:Q,x2:d,y1:I,y2:h,stroke:"#cec9ba",strokeWidth:"5"},"lineOf".concat(l)))}return a},e}(mq.Component),fX=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isChanging:!1,current:0},e.begin=function(){e.setState({isChanging:!0})},e.end=function(A){e.setState({isChanging:!1}),e.props.onChange(A)},e.updateCurrent=function(A){var t,r;e.setState({current:A}),null===(r=(t=e.props).onChangeImmediate)||void 0===r||r.call(t,A)},e.updateManually=function(A){e.setState({isChanging:!0});var t=A;1===e.props.step&&(t=Math.round(t)),t<e.props.min&&(t=e.props.min),t>e.props.max&&(t=e.props.max),e.setState({current:t,isChanging:!0})},e.onManualBlur=function(){e.setState({isChanging:!1}),e.props.onChange(e.state.current)},e}return v(e,A),e.getDerivedStateFromProps=function(A,e){return e.isChanging||A.value===e.current?null:{current:A.value}},e.prototype.render=function(){var A=this.props.step;return void 0===A&&(A=1),(0,Zz.jsxs)("div",w({className:"msp-slider"},{children:[(0,Zz.jsx)("div",{children:(0,Zz.jsx)(FX,{min:this.props.min,max:this.props.max,step:A,value:this.state.current,disabled:this.props.disabled,onBeforeChange:this.begin,onChange:this.updateCurrent,onAfterChange:this.end},void 0)},void 0),(0,Zz.jsx)("div",{children:(0,Zz.jsx)(KW,{numeric:!0,delayMs:50,value:this.state.current,blurOnEnter:!0,onBlur:this.onManualBlur,isDisabled:this.props.disabled,onChange:this.updateManually},void 0)},void 0)]}),void 0)},e}(mq.Component),CX=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isChanging:!1,current:[0,1]},e.begin=function(){e.setState({isChanging:!0})},e.end=function(A){e.setState({isChanging:!1}),e.props.onChange(A)},e.updateCurrent=function(A){e.setState({current:A})},e.updateMax=function(A){var t=A;1===e.props.step&&(t=Math.round(t)),t<e.state.current[0]?t=e.state.current[0]:t<e.props.min&&(t=e.props.min),t>e.props.max&&(t=e.props.max),e.props.onChange([e.state.current[0],t])},e.updateMin=function(A){var t=A;1===e.props.step&&(t=Math.round(t)),t<e.props.min&&(t=e.props.min),t>e.state.current[1]?t=e.state.current[1]:t>e.props.max&&(t=e.props.max),e.props.onChange([t,e.state.current[1]])},e}return v(e,A),e.getDerivedStateFromProps=function(A,e){return e.isChanging||A.value[0]===e.current[0]&&A.value[1]===e.current[1]?null:{current:A.value}},e.prototype.render=function(){var A=this.props.step;return void 0===A&&(A=1),(0,Zz.jsxs)("div",w({className:"msp-slider2"},{children:[(0,Zz.jsx)("div",{children:(0,Zz.jsx)(KW,{numeric:!0,delayMs:50,value:this.state.current[0],onEnter:this.props.onEnter,blurOnEnter:!0,isDisabled:this.props.disabled,onChange:this.updateMin},void 0)},void 0),(0,Zz.jsx)("div",{children:(0,Zz.jsx)(FX,{min:this.props.min,max:this.props.max,step:A,value:this.state.current,disabled:this.props.disabled,onBeforeChange:this.begin,onChange:this.updateCurrent,onAfterChange:this.end,range:!0,allowCross:!0},void 0)},void 0),(0,Zz.jsx)("div",{children:(0,Zz.jsx)(KW,{numeric:!0,delayMs:50,value:this.state.current[1],onEnter:this.props.onEnter,blurOnEnter:!0,isDisabled:this.props.disabled,onChange:this.updateMax},void 0)},void 0)]}),void 0)},e}(mq.Component);function pX(A){for(var e=[],t={}.hasOwnProperty,r=0;r<arguments.length;r++){var n=arguments[r];if(n){var i=typeof n;if("string"===i||"number"===i)e.push(n);else if(Array.isArray(n))e.push(pX.apply(null,n));else if("object"===i)for(var o in n)t.call(n,o)&&n[o]&&e.push(o)}}return e.join(" ")}function mX(A){return A.touches.length>1||"touchend"===A.type.toLowerCase()&&A.touches.length>0}function yX(A,e){return A?e.touches[0].clientY:e.touches[0].pageX}function vX(A,e){return A?e.clientY:e.pageX}function DX(A,e){var t=e.getBoundingClientRect();return A?t.top+.5*t.height:t.left+.5*t.width}function bX(A){A.stopPropagation(),A.preventDefault()}var wX=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.render=function(){var A=this.props,e=A.className,t=A.tipFormatter,r=A.vertical,n=A.offset,i=A.value,o=A.index,a=r?{bottom:"".concat(n,"%")}:{left:"".concat(n,"%")};return(0,Zz.jsx)("div",{className:e,style:a,title:t(i,o)},void 0)},e}(mq.Component),FX=function(A){function e(e){var t=A.call(this,e)||this;t.sliderElement=mq.createRef(),t.handleElements=[],t.dragOffset=0,t.startPosition=0,t.startValue=0,t._getPointsCache=void 0,t.onMouseDown=function(A){if(0===A.button){var e=vX(t.props.vertical,A);if(t.isEventFromHandle(A)){var r=DX(t.props.vertical,A.target);t.dragOffset=e-r,e=r}else t.dragOffset=0;t.onStart(e),t.addDocumentEvents("mouse"),bX(A)}},t.onTouchMove=function(A){if(mX(A))t.end("touch");else{var e=yX(t.props.vertical,A);t.onMove(A,e-t.dragOffset)}},t.onTouchStart=function(A){if(!mX(A)){var e=yX(t.props.vertical,A);if(t.isEventFromHandle(A)){var r=DX(t.props.vertical,A.target);t.dragOffset=e-r,e=r}else t.dragOffset=0;t.onStart(e),t.addDocumentEvents("touch"),bX(A)}},t.eventHandlers={touchmove:function(A){return t.onTouchMove(A)},touchend:function(A){return t.end("touch")},mousemove:function(A){return t.onMouseMove(A)},mouseup:function(A){return t.end("mouse")}},t.calcOffset=function(A){var e=t.props,r=e.min;return(A-r)/(e.max-r)*100};var r,n=e.range,i=e.min,o=e.max,a=n?Array.apply(null,Array(+n+1)).map((function(){return i})):i,s="defaultValue"in e?e.defaultValue:a,u=void 0!==e.value?e.value:s,g=(n?u:[i,u]).map((function(A){return t.trimAlignValue(A)}));return r=n&&g[0]===g[g.length-1]&&g[0]===o?0:g.length-1,t.state={handle:null,recent:r,bounds:g},t}return v(e,A),e.prototype.componentDidUpdate=function(A){var e=this;if("value"in this.props||"min"in this.props||"max"in this.props){var t=this.state.bounds;if(A.range){var r=(n=this.props.value||t).map((function(A){return e.trimAlignValue(A,e.props)}));if(r.every((function(A,e){return A===t[e]})))return;this.setState({bounds:r}),t.some((function(A){return e.isValueOutOfBounds(A,e.props)}))&&this.props.onChange(r)}else{var n=void 0!==this.props.value?this.props.value:t[1],i=this.trimAlignValue(n,this.props);if(i===t[1]&&t[0]===A.min)return;this.setState({bounds:[A.min,i]}),this.isValueOutOfBounds(t[1],this.props)&&this.props.onChange(i)}}},e.prototype.onChange=function(A){var e=this.props;"value"in e?void 0!==A.handle&&this.setState({handle:A.handle}):this.setState(A);var t=w(w({},this.state),A),r=e.range?t.bounds:t.bounds[1];e.onChange(r)},e.prototype.onMouseMove=function(A){var e=vX(this.props.vertical,A);this.onMove(A,e-this.dragOffset)},e.prototype.onMove=function(A,e){bX(A);var t=this.props,r=this.state,n=e-this.startPosition,i=(n=this.props.vertical?-n:n)/this.getSliderLength()*(t.max-t.min),o=this.trimAlignValue(this.startValue+i);if(o!==r.bounds[r.handle]){var a=S([],r.bounds,!0);a[r.handle]=o;var s=r.handle;if(t.pushable){var u=r.bounds[s];this.pushSurroundingHandles(a,s,u)}else t.allowCross&&(a.sort((function(A,e){return A-e})),s=a.indexOf(o));this.onChange({handle:s,bounds:a})}},e.prototype.onStart=function(A){this.props.onBeforeChange(this.getValue());var e=this.calcValueByPos(A);this.startValue=e,this.startPosition=A;var t=this.state,r=t.bounds,n=1;if(this.props.range){for(var i=0,o=1;o<r.length-1;++o)e>r[o]&&(i=o);Math.abs(r[i+1]-e)<Math.abs(r[i]-e)&&(i+=1),n=i;var a=r[i+1]===r[i];a&&(n=t.recent),a&&e!==r[i+1]&&(n=e<r[i+1]?i:i+1)}if(this.setState({handle:n,recent:n}),e!==t.bounds[n]){var s=S([],t.bounds,!0);s[n]=e,this.onChange({bounds:s})}},e.prototype.getPoints=function(){var A=this.props,e=A.marks,t=A.step,r=A.min,n=A.max,i=this._getPointsCache;if(!i||i.marks!==e||i.step!==t){var o=w({},e);if(null!==t)for(var a=r;a<=n;a+=t)o[a]=a;var s=Object.keys(o).map(parseFloat);s.sort((function(A,e){return A-e})),this._getPointsCache={marks:e,step:t,points:s}}return this._getPointsCache.points},e.prototype.getPrecision=function(A){var e=A.toString(),t=0;return e.indexOf(".")>=0&&(t=e.length-e.indexOf(".")-1),t},e.prototype.getSliderLength=function(){var A=this.sliderElement.current;return A?this.props.vertical?A.clientHeight:A.clientWidth:0},e.prototype.getSliderStart=function(){var A=this.sliderElement.current.getBoundingClientRect();return this.props.vertical?A.top:A.left},e.prototype.getValue=function(){var A=this.state.bounds;return this.props.range?A:A[1]},e.prototype.addDocumentEvents=function(A){"touch"===A?(document.addEventListener("touchmove",this.eventHandlers.touchmove),document.addEventListener("touchend",this.eventHandlers.touchend)):"mouse"===A&&(document.addEventListener("mousemove",this.eventHandlers.mousemove),document.addEventListener("mouseup",this.eventHandlers.mouseup))},e.prototype.calcValue=function(A){var e=this.props,t=e.vertical,r=e.min,n=e.max,i=Math.abs(A/this.getSliderLength());return t?(1-i)*(n-r)+r:i*(n-r)+r},e.prototype.calcValueByPos=function(A){var e=A-this.getSliderStart();return this.trimAlignValue(this.calcValue(e))},e.prototype.end=function(A){this.removeEvents(A),this.props.onAfterChange(this.getValue()),this.setState({handle:null})},e.prototype.isEventFromHandle=function(A){for(var e=0,t=this.handleElements;e<t.length;e++)if(t[e].current===A.target)return!0;return!1},e.prototype.isValueOutOfBounds=function(A,e){return A<e.min||A>e.max},e.prototype.pushHandle=function(A,e,t,r){for(var n=A[e],i=A[e];t*(i-n)<r;){if(!this.pushHandleOnePoint(A,e,t))return A[e]=n,!1;i=A[e]}return!0},e.prototype.pushHandleOnePoint=function(A,e,t){var r=this.getPoints(),n=r.indexOf(A[e])+t;if(n>=r.length||n<0)return!1;var i=e+t,o=r[n],a=this.props.pushable,s=t*(A[i]-o);return!!this.pushHandle(A,i,t,+a-s)&&(A[e]=o,!0)},e.prototype.pushSurroundingHandles=function(A,e,t){var r=this.props.pushable,n=A[e],i=0;if(A[e+1]-n<r?i=1:n-A[e-1]<r&&(i=-1),0!==i){var o=e+i,a=i*(A[o]-n);this.pushHandle(A,o,i,+r-a)||(A[e]=t)}},e.prototype.removeEvents=function(A){"touch"===A?(document.removeEventListener("touchmove",this.eventHandlers.touchmove),document.removeEventListener("touchend",this.eventHandlers.touchend)):"mouse"===A&&(document.removeEventListener("mousemove",this.eventHandlers.mousemove),document.removeEventListener("mouseup",this.eventHandlers.mouseup))},e.prototype.trimAlignValue=function(A,e){var t=this.state||{},r=t.handle,n=t.bounds,i=w(w({},this.props),e||{}),o=i.marks,a=i.step,s=i.min,u=i.max,g=i.allowCross,c=A;c<=s&&(c=s),c>=u&&(c=u),!g&&null!=r&&r>0&&c<=n[r-1]&&(c=n[r-1]),!g&&null!=r&&r<n.length-1&&c>=n[r+1]&&(c=n[r+1]);var B=Object.keys(o).map(parseFloat);if(null!==a){var l=Math.round((c-s)/a)*a+s;B.push(l)}var Q=B.map((function(A){return Math.abs(c-A)})),I=B[Q.indexOf(Math.min.apply(Math,Q))];return null!==a?parseFloat(I.toFixed(this.getPrecision(a))):I},e.prototype.render=function(){var A,e=this,t=this.state,r=t.handle,n=t.bounds,i=this.props,o=i.className,a=i.prefixCls,s=i.disabled,u=i.vertical,g=i.range,c=i.step,B=i.marks,l=i.tipFormatter,Q=this.props.handle,I=n.map(this.calcOffset),d="".concat(a,"-handle"),h=n.map((function(A,e){var t;return 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GX({props:this.props,state:this.state,control:this.renderControl(),toggleHelp:this.toggleHelp,addOn:this.renderColors()})},e}(mq.PureComponent),$X=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={showHelp:!1,show:void 0},e.toggleEdit=function(){return e.setState({show:"edit"===e.state.show?void 0:"edit"})},e.togglePresets=function(){return e.setState({show:"presets"===e.state.show?void 0:"presets"})},e.selectPreset=function(A){if(A){e.setState({show:void 0});var t=kA(A.value);e.update({kind:"qualitative"!==t.type?"interpolate":"set",colors:t.list})}},e.colorsChanged=function(A){var t=A.value.map((function(A){return[A.color,A.offset]}));t.sort((function(A,e){return A[1]-e[1]})),e.update({kind:e.props.value.kind,colors:t})},e.isInterpolatedChanged=function(A){var t=A.value;e.update({kind:t?"interpolate":"set",colors:e.props.value.colors})},e.toggleHelp=function(){return e.setState({showHelp:!e.state.showHelp})},e}return 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A=this,e=this.props.value||this.props.param.defaultValue,t=this.props.param.map(e.name),r=this.props.param.label||mA(this.props.name),n=RX(t),i=this.props.param.help,o=i?w(w({},this.props.param.select),{help:function(e){return i({name:e,params:A.getValues(e)})}}):this.props.param.select,a=(0,Zz.jsx)(TX,{param:o,isDisabled:this.props.isDisabled,onChange:this.onChangeName,onEnter:this.props.onEnter,name:r,value:e.name},void 0);return n?"group"!==t.type||t.isFlat?(0,Zz.jsxs)(Zz.Fragment,{children:[a,(0,Zz.jsx)(n,{param:t,value:e.params,name:e.name,onChange:this.onChangeParam,onEnter:this.props.onEnter,isDisabled:this.props.isDisabled},void 0)]},void 0):this.areParamsEmpty(t.params)?a:(0,Zz.jsxs)("div",w({className:"msp-mapped-parameter-group"},{children:[a,(0,Zz.jsx)(ZW,{svg:oW,onClick:this.toggleExpanded,toggleState:this.state.isExpanded,title:"".concat(r," Properties")},void 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msp-control-top-offset",onClick:this.apply,disabled:this.props.isDisabled},{children:this.props.isUpdate?"Update":"Add"}),void 0)]},void 0)},e}(mq.PureComponent),u$=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isExpanded:!1},e.update=function(A){e.props.actions.update(A,e.props.index)},e.moveUp=function(){e.props.actions.move(e.props.index,-1)},e.moveDown=function(){e.props.actions.move(e.props.index,1)},e.remove=function(){e.setState({isExpanded:!1}),e.props.actions.remove(e.props.index)},e.toggleExpanded=function(A){e.setState({isExpanded:!e.state.isExpanded}),A.currentTarget.blur()},e}return v(e,A),e.prototype.render=function(){return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-param-object-list-item"},{children:[(0,Zz.jsxs)("button",w({className:"msp-btn msp-btn-block msp-form-control",onClick:this.toggleExpanded},{children:[(0,Zz.jsx)("span",{children:"".concat(this.props.index+1,": ")},void 0),this.props.param.getLabel(this.props.value)]}),void 0),(0,Zz.jsxs)("div",{children:[(0,Zz.jsx)(ZW,{svg:Zq,title:"Move Up",onClick:this.moveUp,small:!0},void 0),(0,Zz.jsx)(ZW,{svg:tZ,title:"Move Down",onClick:this.moveDown,small:!0},void 0),(0,Zz.jsx)(ZW,{svg:JZ,title:"Remove",onClick:this.remove,small:!0},void 0)]},void 0)]}),void 0),this.state.isExpanded&&(0,Zz.jsx)("div",w({className:"msp-control-offset"},{children:(0,Zz.jsx)(s$,{params:this.props.param.element,apply:this.update,value:this.props.value,isUpdate:!0,isDisabled:this.props.isDisabled},void 0)}),void 0)]},void 0)},e}(mq.PureComponent),g$=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isExpanded:!1},e.add=function(A){e.change(S(S([],e.props.value,!0),[A],!1))},e.actions={update:function(A,t){var r=e.props.value.slice(0);r[t]=A,e.change(r)},move:function(A,t){var r=e.props.value;if(1!==r.length){var n=(A+t)%r.length;n<0&&(n+=r.length);var i=(r=r.slice(0))[A];r[A]=r[n],r[n]=i,e.change(r)}},remove:function(A){for(var t=e.props.value,r=[],n=0;n<t.length;n++)A!==n&&r.push(t[n]);e.change(r)}},e.toggleExpanded=function(A){e.setState({isExpanded:!e.state.isExpanded}),A.currentTarget.blur()},e}return v(e,A),e.prototype.change=function(A){this.props.onChange({name:this.props.name,param:this.props.param,value:A})},e.prototype.render=function(){var A=this,e=this.props.value,t=this.props.param.label||mA(this.props.name),r="".concat(e.length," item").concat(1!==e.length?"s":"");return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)($W,{label:t,control:(0,Zz.jsx)("button",w({onClick:this.toggleExpanded,disabled:this.props.isDisabled},{children:r}),void 0)},void 0),this.state.isExpanded&&(0,Zz.jsxs)("div",w({className:"msp-control-offset"},{children:[this.props.value.map((function(e,t){return(0,Zz.jsx)(u$,{param:A.props.param,value:e,index:t,actions:A.actions,isDisabled:A.props.isDisabled},t)})),(0,Zz.jsx)(JW,w({header:"New Item"},{children:(0,Zz.jsx)(s$,{params:this.props.param.element,apply:this.add,value:this.props.param.ctor(),isDisabled:this.props.isDisabled},void 0)}),void 0)]}),void 0)]},void 0)},e}(mq.PureComponent),c$=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.onChangeCondition=function(A){e.change(e.props.param.conditionedValue(e.props.value,A.value))},e.onChangeParam=function(A){e.change(A.value)},e}return v(e,A),e.prototype.change=function(A){this.props.onChange({name:this.props.name,param:this.props.param,value:A})},e.prototype.render=function(){var A=this.props.value,e=this.props.param.conditionForValue(A),t=this.props.param.conditionParams[e],r=this.props.param.label||mA(this.props.name),n=RX(t),i=(0,Zz.jsx)(TX,{param:this.props.param.select,isDisabled:this.props.isDisabled,onChange:this.onChangeCondition,onEnter:this.props.onEnter,name:"".concat(r," Kind"),value:e},void 0);return n?(0,Zz.jsxs)(Zz.Fragment,{children:[i,(0,Zz.jsx)(n,{param:t,value:A,name:r,onChange:this.onChangeParam,onEnter:this.props.onEnter,isDisabled:this.props.isDisabled},void 0)]},void 0):i},e}(mq.PureComponent),B$=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.onChange=function(A){e.props.onChange({name:e.props.name,param:e.props.param,value:e.props.param.toValue(A.value)})},e}return v(e,A),e.prototype.render=function(){var A=this.props.param.fromValue(this.props.value),e=RX(this.props.param.converted);return e?(0,Zz.jsx)(e,{param:this.props.param.converted,value:A,name:this.props.name,onChange:this.onChange,onEnter:this.props.onEnter,isDisabled:this.props.isDisabled},void 0):null},e}(mq.PureComponent),l$=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.onChange=function(A){var t=A.target.value;t!==e.props.value.expression&&e.update({language:e.props.value.language,expression:t})},e.onKeyPress=function(A){13!==A.keyCode&&13!==A.charCode&&"Enter"!==A.key||e.props.onEnter&&e.props.onEnter(),A.stopPropagation()},e}return v(e,A),e.prototype.renderControl=function(){var A=this.props.param.label||mA(this.props.name);return(0,Zz.jsx)("input",{type:"text",value:this.props.value.expression||"",placeholder:A,onChange:this.onChange,onKeyPress:this.props.onEnter?this.onKeyPress:void 0,disabled:this.props.isDisabled},void 0)},e}(MX);function Q$(A,e){for(var t=0,r=e.length;t<r;++t)A[t]=e.charCodeAt(t)}var I$=gA.fromArray,d$=function(){function A(){}return A.getSizeFromTexture=function(A,e){return Ip(A.array[3*e],A.array[3*e+1],A.array[3*e+2])/pp},A.getSize=function(e,t,r){var n=e.tSize.ref.value,i=0;switch(e.dSizeType.ref.value){case"uniform":i=e.uSize.ref.value;break;case"instance":i=A.getSizeFromTexture(n,t);break;case"group":i=A.getSizeFromTexture(n,r);break;case"groupInstance":var o=e.uGroupCount.ref.value;i=A.getSizeFromTexture(n,t*o+r)}return i*e.uSizeFactor.ref.value},A.getGroup=function(A,e){var t=4*e,r=A[t],n=A[t+1],i=A[t+2];return A instanceof Float32Array?Ip(255*r+.5,255*n+.5,255*i+.5):Ip(r,n,i)},A.getInterpolatedColors=function(A,e){var t=e.values,r=e.vertexCount,n=e.vertices,i=e.colorType,o=e.stride,a=t.uColorGridTransform.ref.value,s=t.uColorGridDim.ref.value,u=t.uColorTexDim.ref.value,g=t.aTransform.ref.value;return sR({vertexCount:r,instanceCount:t.uInstanceCount.ref.value,transformBuffer:g,positionBuffer:n,colorType:i,grid:Gv(A,t.tColorGrid.ref.value).array,gridDim:s,gridTexDim:u,gridTransform:a,vertexStride:o,colorStride:4,outputStride:3}).array},A.getInterpolatedOverpaint=function(A,e){var t=e.values,r=e.vertexCount,n=e.vertices,i=e.colorType,o=e.stride,a=t.uOverpaintGridTransform.ref.value,s=t.uOverpaintGridDim.ref.value,u=t.uOverpaintTexDim.ref.value,g=t.aTransform.ref.value;return sR({vertexCount:r,instanceCount:t.uInstanceCount.ref.value,transformBuffer:g,positionBuffer:n,colorType:i,grid:Gv(A,t.tOverpaintGrid.ref.value).array,gridDim:s,gridTexDim:u,gridTransform:a,vertexStride:o,colorStride:4,outputStride:4}).array},A.getInterpolatedTransparency=function(A,e){var t=e.values,r=e.vertexCount,n=e.vertices,i=e.colorType,o=e.stride,a=t.uTransparencyGridTransform.ref.value,s=t.uTransparencyGridDim.ref.value,u=t.uTransparencyTexDim.ref.value,g=t.aTransform.ref.value;return sR({vertexCount:r,instanceCount:t.uInstanceCount.ref.value,transformBuffer:g,positionBuffer:n,colorType:i,grid:Mv(A,t.tTransparencyGrid.ref.value).array,gridDim:s,gridTexDim:u,gridTransform:a,vertexStride:o,colorStride:4,outputStride:1,itemOffset:3}).array},A.quantizeColors=function(A,e){if(!(e<=1024)){for(var t=gA(),r=gA(),n=gA(),i=gA(),o=new Map,a=[function(A,e,r){return SA.toVec3(t,A[e])[0]-SA.toVec3(t,A[r])[0]},function(A,e,r){return SA.toVec3(t,A[e])[1]-SA.toVec3(t,A[r])[1]},function(A,e,r){return SA.toVec3(t,A[e])[2]-SA.toVec3(t,A[r])[2]}],s=function(A,e,u,g){if(!(e>u))if(e===u||g>=10){gA.set(i,0,0,0);for(var c=e;c<=u;++c)SA.toVec3(t,A[c]),gA.add(i,i,t);gA.round(t,gA.scale(t,i,1/(u-e+1)));var B=SA.fromArray(t,0);for(c=e;c<=u;++c)o.set(A[c],B)}else{for(gA.set(r,255,255,255),gA.set(n,0,0,0),c=e;c<=u;++c){SA.toVec3(t,A[c]);for(var l=0;l<3;++l)gA.min(r,r,t),gA.max(n,n,t)}var Q=0;n[1]-r[1]>n[Q]-r[Q]&&(Q=1),n[2]-r[2]>n[Q]-r[Q]&&(Q=2),qA(A,e,u+1,a[Q],_A);var I=e+u>>1;s(A,e,I,g+1),s(A,I+1,u,g+1)}},u=new Set,g=0;g<e;++g)u.add(SA.fromArray(A,3*g));var c=Array.from(u);for(s(c,0,c.length-1,0),g=0;g<e;++g){var B=o.get(SA.fromArray(A,3*g));SA.toArray(B,A,3*g)}}},A.getInstance=function(A,e){var t=A.mesh,r=A.meshes;if(void 0!==t)return t;var n=r[e];return{vertices:n.vertexBuffer.ref.value,normals:n.normalBuffer.ref.value,indices:n.indexBuffer.ref.value,groups:n.groupBuffer.ref.value,vertexCount:n.vertexCount,drawCount:3*n.triangleCount}},A.getColor=function(e,t,r,n){var i,o=t.values,a=t.instanceIndex,s=t.isGeoTexture,u=t.groups,g=t.vertexCount,c=o.uGroupCount.ref.value,B=o.dColorType.ref.value,l=o.uColor.ref.value,Q=o.tColor.ref.value.array,I=o.dOverpaintType.ref.value,d=o.dOverpaint.ref.value,h=o.tOverpaint.ref.value.array;switch(B){case"uniform":i=SA.fromNormalizedArray(l,0);break;case"instance":i=SA.fromArray(Q,3*a);break;case"group":var E=s?A.getGroup(u,e):u[e];i=SA.fromArray(Q,3*E);break;case"groupInstance":E=s?A.getGroup(u,e):u[e],i=SA.fromArray(Q,3*(a*c+E));break;case"vertex":i=SA.fromArray(Q,3*e);break;case"vertexInstance":i=SA.fromArray(Q,3*(a*g+e));break;case"volume":i=SA.fromArray(r,3*e);break;case"volumeInstance":i=SA.fromArray(r,3*(a*g+e));break;default:throw new Error("Unsupported color type.")}if(d){var f=void 0,C=void 0;switch(I){case"groupInstance":var p=4*(a*c+(E=s?A.getGroup(u,e):u[e]));f=SA.fromArray(h,p),C=h[p+3]/255;break;case"vertexInstance":p=4*(a*g+e),f=SA.fromArray(h,p),C=h[p+3]/255;break;case"volumeInstance":p=4*(a*g+e),f=SA.fromArray(n,p),C=n[p+3]/255;break;default:throw new Error("Unsupported overpaint type.")}f=SA.interpolate(i,f,C),i=SA.interpolate(i,f,C)}return i},A.getTransparency=function(e,t,r){var n=t.values,i=t.instanceIndex,o=t.isGeoTexture,a=t.groups,s=t.vertexCount,u=n.uGroupCount.ref.value,g=n.dTransparency.ref.value,c=n.tTransparency.ref.value.array,B=n.dTransparencyType.ref.value,l=0;if(g)switch(B){case"groupInstance":l=c[i*u+(o?A.getGroup(a,e):a[e])]/255;break;case"vertexInstance":l=c[i*s+e]/255;break;case"volumeInstance":l=r[i*s+e]/255;break;default:throw new Error("Unsupported transparency type.")}return l},A.prototype.addMesh=function(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u;return U(this,(function(g){switch(g.label){case 0:return r=A.aPosition.ref.value,n=A.aNormal.ref.value,i=A.aGroup.ref.value,(o=Yv.getOriginalData(A))?(a=o.indexBuffer,s=o.vertexCount,u=3*o.triangleCount):(a=A.elements.ref.value,s=A.uVertexCount.ref.value,u=A.drawCount.ref.value),[4,this.addMeshWithColors({mesh:{vertices:r,normals:n,indices:a,groups:i,vertexCount:s,drawCount:u},meshes:void 0,values:A,isGeoTexture:!1,webgl:e,ctx:t})];case 1:return g.sent(),[2]}}))}))},A.prototype.addLines=function(A,e,t){return F(this,void 0,void 0,(function(){return U(this,(function(A){return[2]}))}))},A.prototype.addPoints=function(A,e,t){return F(this,void 0,void 0,(function(){return U(this,(function(A){return[2]}))}))},A.prototype.addSpheres=function(e,t,r){return F(this,void 0,void 0,(function(){var n,i,o,a,s,u,g,c,B,l,Q,I,d;return U(this,(function(h){switch(h.label){case 0:for(n=gA(),i=e.aPosition.ref.value,o=e.aGroup.ref.value,a=e.instanceCount.ref.value,s=e.uVertexCount.ref.value,u=[],c=(g=s/4*a)<2e3?3:g<2e4?2:1,B=0;B<a;++B){for(l=kD.createState(512,256),Q=0;Q<s;Q+=4)I$(n,i,3*Q),I=o[Q],d=A.getSize(e,B,I),l.currentGroup=I,oD(l,n,d,c);u.push(kD.getMesh(l))}return[4,this.addMeshWithColors({mesh:void 0,meshes:u,values:e,isGeoTexture:!1,webgl:t,ctx:r})];case 1:return h.sent(),[2]}}))}))},A.prototype.addCylinders=function(e,t,r){return F(this,void 0,void 0,(function(){var n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m;return U(this,(function(y){switch(y.label){case 0:for(n=gA(),i=gA(),o=e.aStart.ref.value,a=e.aEnd.ref.value,s=e.aScale.ref.value,u=e.aCap.ref.value,g=e.aGroup.ref.value,c=e.instanceCount.ref.value,B=e.uVertexCount.ref.value,l=[],I=(Q=B/6*c)<2e3?36:Q<2e4?24:12,d=0;d<c;++d){for(h=kD.createState(512,256),E=0;E<B;E+=6)I$(n,o,3*E),I$(i,a,3*E),f=g[E],C=A.getSize(e,d,f)*s[E],p=u[E],m={radiusTop:C,radiusBottom:C,topCap:1===p||3===p,bottomCap:p>=2,radialSegments:I},h.currentGroup=g[E],MD(h,n,i,1,m);l.push(kD.getMesh(h))}return[4,this.addMeshWithColors({mesh:void 0,meshes:l,values:e,isGeoTexture:!1,webgl:t,ctx:r})];case 1:return y.sent(),[2]}}))}))},A.prototype.addTextureMesh=function(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:return e.namedFramebuffers["geo-export"]||(e.namedFramebuffers["geo-export"]=e.resources.framebuffer()),r=e.namedFramebuffers["geo-export"],n=A.uGeoTexDim.ref.value,i=n[0],o=n[1],a=new Float32Array(i*o*4),s=new Float32Array(i*o*4),u=e.isWebGL2?new Uint8Array(i*o*4):new Float32Array(i*o*4),r.bind(),A.tPosition.ref.value.attachFramebuffer(r,0),e.readPixels(0,0,i,o,a),A.tNormal.ref.value.attachFramebuffer(r,0),e.readPixels(0,0,i,o,s),A.tGroup.ref.value.attachFramebuffer(r,0),e.readPixels(0,0,i,o,u),g=A.uVertexCount.ref.value,c=A.drawCount.ref.value,[4,this.addMeshWithColors({mesh:{vertices:a,normals:s,indices:void 0,groups:u,vertexCount:g,drawCount:c},meshes:void 0,values:A,isGeoTexture:!0,webgl:e,ctx:t})];case 1:return B.sent(),[2]}}))}))},A.prototype.add=function(A,e,t){if(A.state.visible)switch(A.type){case"mesh":return this.addMesh(A.values,e,t);case"lines":return this.addLines(A.values,e,t);case"points":return this.addPoints(A.values,e,t);case"spheres":return this.addSpheres(A.values,e,t);case"cylinders":return this.addCylinders(A.values,e,t);case"texture-mesh":return this.addTextureMesh(A.values,e,t)}},A}(),h$=gA.fromArray,E$=gA.normalize,f$=gA.toArray,C$=34962,p$=function(A){function e(e){var t=A.call(this)||this;t.fileExtension="glb",t.nodes=[],t.meshes=[],t.materials=[],t.materialMap=new Map,t.accessors=[],t.bufferViews=[],t.binaryBuffer=[],t.byteOffset=0;var r=gA();return gA.add(r,e.min,e.max),gA.scale(r,r,-.5),t.centerTransform=nA.fromTranslation(nA(),r),t}return v(e,A),e.vec3MinMax=function(A){for(var e=[1/0,1/0,1/0],t=[-1/0,-1/0,-1/0],r=0,n=A.length;r<n;r+=3)for(var i=0;i<3;++i)e[i]=Math.min(A[r+i],e[i]),t[i]=Math.max(A[r+i],t[i]);return[e,t]},e.prototype.addBuffer=function(A,e,t,r,n,i,o,a){this.binaryBuffer.push(A);var s=this.bufferViews.length;this.bufferViews.push({buffer:0,byteOffset:this.byteOffset,byteLength:A.byteLength,target:n}),this.byteOffset+=A.byteLength;var u=this.accessors.length;return this.accessors.push({bufferView:s,byteOffset:0,componentType:e,count:r,type:t,min:i,max:o,normalized:a}),u},e.prototype.addGeometryBuffers=function(A,t,r,n,i,o){for(var a,s=gA(),u=o?4:3,g=new Float32Array(3*n),c=new Float32Array(3*n),B=0;B<n;++B)h$(s,A,B*u),f$(s,g,3*B);for(B=0;B<n;++B)h$(s,t,B*u),E$(s,s),f$(s,c,3*B);o||(a=r.slice(0,i));var l=e.vec3MinMax(g),Q=l[0],I=l[1],d=g.buffer,h=c.buffer,E=o?void 0:a.buffer;return Bu||(d=lu(new Uint8Array(d),4),h=lu(new Uint8Array(h),4),o||(E=lu(new Uint8Array(E),4))),{vertexAccessorIndex:this.addBuffer(d,5126,"VEC3",n,C$,Q,I),normalAccessorIndex:this.addBuffer(h,5126,"VEC3",n,C$),indexAccessorIndex:o?void 0:this.addBuffer(E,5125,"SCALAR",i,34963)}},e.prototype.addColorBuffer=function(A,t,r,n){for(var i=A.values,o=A.vertexCount,a=i.uAlpha.ref.value,s=new Uint8Array(4*o),u=0;u<o;++u){var g=e.getColor(u,A,t,r),c=a*(1-e.getTransparency(u,A,n));g=SA.sRGBToLinear(g),SA.toArray(g,s,4*u),s[4*u+3]=Math.round(255*c)}var B=s.buffer;return Bu||(B=lu(new Uint8Array(B),4)),this.addBuffer(B,5121,"VEC4",o,C$,void 0,void 0,!0)},e.prototype.addMaterial=function(A,e){var t="".concat(A,"|").concat(e);return this.materialMap.has(t)||(this.materialMap.set(t,this.materials.length),this.materials.push({pbrMetallicRoughness:{baseColorFactor:[1,1,1,1],metallicFactor:A,roughnessFactor:e}})),this.materialMap.get(t)},e.prototype.addMeshWithColors=function(A){return F(this,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w,F,S,N,R,H,G,M,L,x,k;return U(this,(function(U){switch(U.label){case 0:return t=A.mesh,r=A.values,n=A.isGeoTexture,i=A.webgl,o=A.ctx,a=nA(),s=r.dColorType.ref.value,u=r.dOverpaintType.ref.value,g=r.dTransparencyType.ref.value,c=r.dTransparency.ref.value,B=r.aTransform.ref.value,l=r.uInstanceCount.ref.value,Q=r.uMetalness.ref.value,I=r.uRoughness.ref.value,d=this.addMaterial(Q,I),"volume"!==s&&"volumeInstance"!==s||(C=n?4:3,h=e.getInterpolatedColors(i,{vertices:t.vertices,vertexCount:t.vertexCount,values:r,stride:C,colorType:s})),"volumeInstance"===u&&(C=n?4:3,E=e.getInterpolatedOverpaint(i,{vertices:t.vertices,vertexCount:t.vertexCount,values:r,stride:C,colorType:u})),"volumeInstance"===g&&(C=n?4:3,f=e.getInterpolatedTransparency(i,{vertices:t.vertices,vertexCount:t.vertexCount,values:r,stride:C,colorType:g})),m=(p=void 0!==t)&&"instance"!==s&&!s.endsWith("Instance")&&!c,[4,o.update({isIndeterminate:!1,current:0,max:l})];case 1:U.sent(),F=0,U.label=2;case 2:return F<l?o.shouldUpdate?[4,o.update({current:F+1})]:[3,4]:[3,6];case 3:U.sent(),U.label=4;case 4:0!==F&&p&&m||(S=e.getInstance(A,F),N=S.vertices,R=S.normals,H=S.indices,G=S.groups,M=S.vertexCount,L=S.drawCount,0!==F&&p||(x=this.addGeometryBuffers(N,R,H,M,L,n),y=x.vertexAccessorIndex,v=x.normalAccessorIndex,D=x.indexAccessorIndex),0!==F&&m||(b=this.addColorBuffer({values:r,groups:G,vertexCount:M,instanceIndex:F,isGeoTexture:n},h,E,f)),w=this.meshes.length,this.meshes.push({primitives:[{attributes:{POSITION:y,NORMAL:v,COLOR_0:b},indices:D,material:d}]})),nA.fromArray(a,B,16*F),nA.mul(a,this.centerTransform,a),k={mesh:w,matrix:a.slice()},this.nodes.push(k),U.label=5;case 5:return++F,[3,2];case 6:return[2]}}))}))},e.prototype.getData=function(){return F(this,void 0,void 0,(function(){var A,e,t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f;return U(this,(function(C){for(A=this.byteOffset,e={asset:{version:"2.0",generator:"Mol* ".concat($_)},scenes:[{nodes:hr(new 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0.001\n"),b.writeSafe(a,"Ka 0 0 0\n"),b.writeSafe(a,"Kd "),b.writeFloat(a,n,1e3),b.whitespace1(a),b.writeFloat(a,i,1e3),b.whitespace1(a),b.writeFloat(a,o,1e3),b.newline(a),b.writeSafe(a,"Ks 0.25 0.25 0.25\n"),b.writeSafe(a,"d "),b.writeFloat(a,e,1e3),b.newline(a)}}},e.prototype.addMeshWithColors=function(A){return F(this,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,w,F,S,N,R,H,G,M,L,x,k,Y,_,V;return U(this,(function(U){switch(U.label){case 0:return t=A.mesh,r=A.values,n=A.isGeoTexture,i=A.webgl,o=A.ctx,a=this.obj,s=nA(),u=cA(),g=gA(),c=n?4:3,B=r.dColorType.ref.value,l=r.dOverpaintType.ref.value,Q=r.dTransparencyType.ref.value,I=r.uAlpha.ref.value,d=r.aTransform.ref.value,h=r.uInstanceCount.ref.value,"volume"!==B&&"volumeInstance"!==B||(E=e.getInterpolatedColors(i,{vertices:t.vertices,vertexCount:t.vertexCount,values:r,stride:c,colorType:B})),"volumeInstance"===l&&(f=e.getInterpolatedOverpaint(i,{vertices:t.vertices,vertexCount:t.vertexCount,values:r,stride:c,colorType:l})),"volumeInstance"===Q&&(p=n?4:3,C=e.getInterpolatedTransparency(i,{vertices:t.vertices,vertexCount:t.vertexCount,values:r,stride:p,colorType:Q})),[4,o.update({isIndeterminate:!1,current:0,max:h})];case 1:U.sent(),m=0,U.label=2;case 2:return m<h?o.shouldUpdate?[4,o.update({current:m+1})]:[3,4]:[3,6];case 3:U.sent(),U.label=4;case 4:for(y=e.getInstance(A,m),v=y.vertices,D=y.normals,w=y.indices,F=y.groups,S=y.vertexCount,N=y.drawCount,nA.fromArray(s,d,16*m),nA.mul(s,this.centerTransform,s),D$(u,s),M=0;M<S;++M)y$(g,m$(g,v,M*c),s),b.writeSafe(a,"v "),b.writeFloat(a,g[0],1e3),b.whitespace1(a),b.writeFloat(a,g[1],1e3),b.whitespace1(a),b.writeFloat(a,g[2],1e3),b.newline(a);for(M=0;M<S;++M)v$(g,m$(g,D,M*c),u),b.writeSafe(a,"vn "),b.writeFloat(a,g[0],100),b.whitespace1(a),b.writeFloat(a,g[1],100),b.whitespace1(a),b.writeFloat(a,g[2],100),b.newline(a);for(R={values:r,groups:F,vertexCount:S,instanceIndex:m,isGeoTexture:n},H=new Uint8Array(3*N),M=0;M<N;M+=3)G=n?M:w[M],L=e.getColor(G,R,E,f),SA.toArray(L,H,M);for(e.quantizeColors(H,S),M=0;M<N;M+=3)L=SA.fromArray(H,M),x=e.getTransparency(M,R,C),k=Math.round(I*(1-x)*10)/10,this.updateMaterial(L,k),Y=this.vertexOffset+(n?M:w[M])+1,_=this.vertexOffset+(n?M+1:w[M+1])+1,V=this.vertexOffset+(n?M+2:w[M+2])+1,b.writeSafe(a,"f "),b.writeInteger(a,Y),b.writeSafe(a,"//"),b.writeIntegerAndSpace(a,Y),b.writeInteger(a,_),b.writeSafe(a,"//"),b.writeIntegerAndSpace(a,_),b.writeInteger(a,V),b.writeSafe(a,"//"),b.writeInteger(a,V),b.newline(a);this.vertexOffset+=S,U.label=5;case 5:return++m,[3,2];case 6:return[2]}}))}))},e.prototype.getData=function(){return F(this,void 0,void 0,(function(){return U(this,(function(A){return[2,{obj:b.getString(this.obj),mtl:b.getString(this.mtl)}]}))}))},e.prototype.getBlob=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s;return U(this,(function(u){switch(u.label){case 0:return[4,this.getData()];case 1:return e=u.sent(),t=e.obj,r=e.mtl,Q$(n=new Uint8Array(t.length),t),Q$(i=new Uint8Array(r.length),r),(s={})[this.filename+".obj"]=n,s[this.filename+".mtl"]=i,o=s,a=Blob.bind,[4,xt(A,o)];case 2:return[2,new(a.apply(Blob,[void 0,[u.sent()],{type:"application/zip"}]))]}}))}))},e}(d$),w$=gA.fromArray,F$=gA.transformMat4,U$=gA.triangleNormal,S$=gA.toArray,N$=function(A){function e(e){var t=A.call(this)||this;t.fileExtension="stl",t.triangleBuffers=[],t.triangleCount=0;var r=gA();return gA.add(r,e.min,e.max),gA.scale(r,r,-.5),t.centerTransform=nA.fromTranslation(nA(),r),t}return v(e,A),e.prototype.addMeshWithColors=function(A){return F(this,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y;return U(this,(function(v){switch(v.label){case 0:t=A.values,r=A.isGeoTexture,n=A.ctx,i=nA(),o=gA(),a=gA(),s=gA(),u=gA(),g=r?4:3,c=t.aTransform.ref.value,B=t.uInstanceCount.ref.value,l=0,v.label=1;case 1:return l<B?n.shouldUpdate?[4,n.update({current:l+1})]:[3,3]:[3,5];case 2:v.sent(),v.label=3;case 3:for(Q=e.getInstance(A,l),I=Q.vertices,d=Q.indices,h=Q.vertexCount,E=Q.drawCount,nA.fromArray(i,c,16*l),nA.mul(i,this.centerTransform,i),f=new Float32Array(3*h),m=0;m<h;++m)F$(o,w$(o,I,m*g),i),S$(o,f,3*m);for(C=new ArrayBuffer(50*E),p=new DataView(C),m=0;m<E;m+=3)w$(a,f,3*(r?m:d[m])),w$(s,f,3*(r?m+1:d[m+1])),w$(u,f,3*(r?m+2:d[m+2])),U$(o,a,s,u),y=50*m,p.setFloat32(y,o[0],!0),p.setFloat32(y+4,o[1],!0),p.setFloat32(y+8,o[2],!0),p.setFloat32(y+12,a[0],!0),p.setFloat32(y+16,a[1],!0),p.setFloat32(y+20,a[2],!0),p.setFloat32(y+24,s[0],!0),p.setFloat32(y+28,s[1],!0),p.setFloat32(y+32,s[2],!0),p.setFloat32(y+36,u[0],!0),p.setFloat32(y+40,u[1],!0),p.setFloat32(y+44,u[2],!0);this.triangleBuffers.push(C),this.triangleCount+=E,v.label=4;case 4:return++l,[3,1];case 5:return[2]}}))}))},e.prototype.getData=function(){return F(this,void 0,void 0,(function(){var A,e,t,r,n;return U(this,(function(i){for(Q$(A=new Uint8Array(84+50*this.triangleCount),"Exported from Mol* ".concat($_)),new DataView(A.buffer).setUint32(80,this.triangleCount,!0),e=84,t=0,r=this.triangleBuffers;t<r.length;t++)n=r[t],A.set(new Uint8Array(n),e),e+=n.byteLength;return[2,{stl:A}]}))}))},e.prototype.getBlob=function(A){return F(this,void 0,void 0,(function(){var A;return U(this,(function(e){switch(e.label){case 0:return A=Blob.bind,[4,this.getData()];case 1:return[2,new(A.apply(Blob,[void 0,[e.sent().stl],{type:"model/stl"}]))]}}))}))},e}(d$),R$=gA.fromArray,H$=gA.transformMat4,G$=gA.transformMat3,M$=cA.directionTransform,L$=function(A){function e(e,t){var r=A.call(this)||this;r.fileExtension="usdz",r.meshes=[],r.materials=[],r.materialMap=new Map;var n=nA();return nA.fromUniformScaling(n,Math.min(1/(2*t),1)),nA.translate(n,n,gA.create(-(e.min[0]+e.max[0])/2,-e.min[1],-(e.min[2]+e.max[2])/2)),r.centerTransform=n,r}return v(e,A),e.prototype.addMaterial=function(A,e,t,r){var n="".concat(A,"|").concat(e,"|").concat(t,"|").concat(r);if(this.materialMap.has(n))return this.materialMap.get(n);var i=this.materialMap.size;this.materialMap.set(n,i);var o=SA.toRgbNormalized(A).map((function(A){return Math.round(1e3*A)/1e3})),a=o[0],s=o[1],u=o[2];return this.materials.push('\ndef Material "material'.concat(i,'"\n{\n    token outputs:surface.connect = </material').concat(i,'/shader.outputs:surface>\n    def Shader "shader"\n    {\n        uniform token info:id = "UsdPreviewSurface"\n        color3f inputs:diffuseColor = (').concat(a,",").concat(s,",").concat(u,")\n        float inputs:opacity = ").concat(e,"\n        float inputs:metallic = ").concat(t,"\n        float inputs:roughness = ").concat(r,"\n        token outputs:surface\n    }\n}\n")),i},e.prototype.addMeshWithColors=function(A){return F(this,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,w;return U(this,(function(F){switch(F.label){case 0:return t=A.mesh,r=A.values,n=A.isGeoTexture,i=A.webgl,o=A.ctx,a=nA(),s=cA(),u=gA(),g=n?4:3,c=r.dColorType.ref.value,B=r.dOverpaintType.ref.value,l=r.dTransparencyType.ref.value,Q=r.uAlpha.ref.value,I=r.aTransform.ref.value,d=r.uInstanceCount.ref.value,h=r.uMetalness.ref.value,E=r.uRoughness.ref.value,"volume"!==c&&"volumeInstance"!==c||(f=e.getInterpolatedColors(i,{vertices:t.vertices,vertexCount:t.vertexCount,values:r,stride:g,colorType:c})),"volumeInstance"===B&&(p=n?4:3,C=e.getInterpolatedOverpaint(i,{vertices:t.vertices,vertexCount:t.vertexCount,values:r,stride:p,colorType:B})),"volumeInstance"===l&&(y=n?4:3,m=e.getInterpolatedTransparency(i,{vertices:t.vertices,vertexCount:t.vertexCount,values:r,stride:y,colorType:l})),[4,o.update({isIndeterminate:!1,current:0,max:d})];case 1:F.sent(),v=function(t){var i,c,B,l,d,p,y,v,w,F,S,N,R,H,G,M,L,x,k,Y,_,V;return U(this,(function(U){switch(U.label){case 0:return o.shouldUpdate?[4,o.update({current:t+1})]:[3,2];case 1:U.sent(),U.label=2;case 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A=this,e=pq(this.controls.behaviors.params,this.plugin.canvas3d.reprCount);this.subscribe(e,(function(){A.state.isCollapsed||A.forceUpdate()}))},e.prototype.componentWillUnmount=function(){var A;null===(A=this._controls)||void 0===A||A.dispose(),this._controls=void 0},e}(rX),_$=J_.create({name:"extension-geo-export",category:"misc",display:{name:"Geometry Export"},ctor:function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.register=function(){this.ctx.customStructureControls.set("geo-export",Y$)},e.prototype.update=function(){return!1},e.prototype.unregister=function(){this.ctx.customStructureControls.delete("geo-export")},e}(J_.Handler),params:function(){return{}}}),V$=function(A){function e(e,t){return A.call(this)||this}return Pd(e,A),e.prototype.schedule=function(A,e){return void 0===e&&(e=0),this},e}(Ah),T$={setInterval:function(){for(var A=[],e=0;e<arguments.length;e++)A[e]=arguments[e];var t=T$.delegate;return((null==t?void 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0:A.getSizeAndViewport();e&&this.behaviors.info.next({width:e.viewport.width,height:e.viewport.height})},e.prototype.sync=function(){var A,e,t=this,r=this.manager.animations.filter((function(A){return A.isExportable})),n=r.every((function(A){return t.currentNames.has(A.name)}));if(!n||this.currentNames.size!==r.length){var i={current:ir.Select(null===(A=r[0])||void 0===A?void 0:A.name,r.map((function(A){return[A.name,A.display.name]})),{label:"Animation"})},o=this.behaviors.current.value,a=!!r.find((function(A){return A.name===(null==o?void 0:o.anim.name)}));this.animations=r,a||this.setCurrent(null===(e=r[0])||void 0===e?void 0:e.name),this.behaviors.animations.next(i)}},e.prototype.init=function(){var A,e,t=this;this.subscribe(this.plugin.managers.animation.events.updated.pipe(z$(16)),(function(){t.sync()})),this.subscribe(null===(A=this.plugin.canvas3d)||void 0===A?void 0:A.resized,(function(){return t.syncInfo()})),this.subscribe(null===(e=this.plugin.helpers.viewportScreenshot)||void 0===e?void 0:e.events.previewed,(function(){return t.syncInfo()})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(A){return t.updateCanApply(A)})),this.subscribe(this.plugin.managers.snapshot.events.changed,(function(A){return t.updateCanApply(A)})),this.sync(),this.syncInfo()},e.prototype.updateCanApply=function(A){var e,t,r,n=this.current;!A&&n&&this.behaviors.canApply.next(null!==(r=null===(t=(e=n.anim).canApply)||void 0===t?void 0:t.call(e,this.plugin))&&void 0!==r?r:{canApply:!0})},e}(W_),e0=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.save=function(){nV(new Blob([e.state.data.movie]),e.state.data.filename)},e.generate=function(){return F(e,void 0,void 0,(function(){var A,e;return U(this,(function(t){switch(t.label){case 0:return t.trys.push([0,2,,3]),this.setState({busy:!0}),[4,this.controls.render()];case 1:return A=t.sent(),this.setState({busy:!1,data:A}),[3,3];case 2:return e=t.sent(),console.error(e),this.setState({busy:!1}),[3,3];case 3:return[2]}}))}))},e}return v(e,A),Object.defineProperty(e.prototype,"controls",{get:function(){return this._controls||(this._controls=new A0(this.plugin))},enumerable:!1,configurable:!0}),e.prototype.defaultState=function(){return{header:"Export Animation",isCollapsed:!0,brand:{accent:"cyan",svg:UW}}},e.prototype.downloadControls=function(){var A=this;return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)("div",w({className:"msp-control-offset msp-help-text"},{children:(0,Zz.jsx)("div",w({className:"msp-help-description",style:{textAlign:"center"}},{children:"Rendering successful!"}),void 0)}),void 0),(0,Zz.jsx)(qW,w({icon:$Z,onClick:this.save,style:{marginTop:1}},{children:"Save Animation"}),void 0),(0,Zz.jsx)(qW,w({onClick:function(){return A.setState({data:void 0})},style:{marginTop:6}},{children:"Clear"}),void 0)]},void 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r=[],n=3;n<arguments.length;n++)r[n-3]=arguments[n];var i=t.apply(void 0,r);A.hierarchy.refs.set(e.transform.ref,i);var o=A.oldHierarchy.refs.get(e.transform.ref);return o?o.version!==e.transform.version&&(A.changed=!0):(A.added.add(i.cell.transform.ref),A.changed=!0),i}function w1(A){return function(e){return A.is(e.obj)}}function F1(A,e){return function(t,r){return!e(r)&&A.is(t.obj)}}function U1(A){return function(e){return e.transform.transformer===A}}function S1(){}!function(A){function e(A,e,t,r,n){var i,o,a,s;return void 0===n&&(n={}),ir.Group({isoValue:Ly.createIsoValueParam(null!==(i=n.isoValue)&&void 0!==i?i:t,r),color:ir.Color(null!==(o=n.color)&&void 0!==o?o:e),wireframe:ir.Boolean(null!==(a=n.wireframe)&&void 0!==a&&a),opacity:ir.Numeric(null!==(s=n.opacity)&&void 0!==s?s:.3,{min:0,max:1,step:.01})},{label:A,isExpanded:!0})}A.RootTag="volume-streaming-info";var t={byteOffset:0,rate:1,sampleCount:[1,1,1],valuesInfo:[{mean:0,min:-1,max:1,sigma:.1},{mean:0,min:-1,max:1,sigma:.1}]};function r(r){var n=r.entryData,i=r.defaultView,o=r.structure,a=r.channelParams,s=void 0===a?{}:a,u=n||{kind:"em",header:{sampling:[t],availablePrecisions:[{precision:0,maxVoxels:0}]},emDefaultContourLevel:Ly.IsoValue.relative(0)},g=o&&o.boundary.box||Ns();return{view:ir.MappedStatic(i||("em"===u.kind?"cell":"selection-box"),{off:ir.Group({}),box:ir.Group({bottomLeft:ir.Vec3(g.min),topRight:ir.Vec3(g.max)},{description:"Static box defined by cartesian coords.",isFlat:!0}),"selection-box":ir.Group({radius:ir.Numeric(5,{min:0,max:50,step:.5},{description:"Radius in Å within which the volume is shown."}),bottomLeft:ir.Vec3(gA.create(0,0,0),{},{isHidden:!0}),topRight:ir.Vec3(gA.create(0,0,0),{},{isHidden:!0})},{description:"Box around focused element.",isFlat:!0}),cell:ir.Group({}),auto:ir.Group({radius:ir.Numeric(5,{min:0,max:50,step:.5},{description:"Radius in Å within which the volume is shown."}),selectionDetailLevel:ir.Select(Math.min(6,u.header.availablePrecisions.length-1),u.header.availablePrecisions.map((function(A,e){return[e,"".concat(e+1," [ ").concat(0|Math.pow(A.maxVoxels,1/3),"^3 cells ]")]})),{label:"Selection Detail",description:"Determines the maximum number of voxels. Depending on the size of the volume options are in the range from 0 (0.52M voxels) to 6 (25.17M voxels)."}),isSelection:ir.Boolean(!1,{isHidden:!0}),bottomLeft:ir.Vec3(g.min,{},{isHidden:!0}),topRight:ir.Vec3(g.max,{},{isHidden:!0})},{description:"Box around focused element.",isFlat:!0})},{options:A.ViewTypeOptions,description:'Controls what of the volume is displayed. "Off" hides the volume alltogether. "Bounded box" shows the volume inside the given box. "Around Interaction" shows the volume around the focused element/atom. "Whole Structure" shows the volume for the whole structure.'}),detailLevel:ir.Select(Math.min(3,u.header.availablePrecisions.length-1),u.header.availablePrecisions.map((function(A,e){return[e,"".concat(e+1," [ ").concat(0|Math.pow(A.maxVoxels,1/3),"^3 cells ]")]})),{description:"Determines the maximum number of voxels. Depending on the size of the volume options are in the range from 0 (0.52M voxels) to 6 (25.17M voxels)."}),channels:"em"===u.kind?ir.Group({em:e("EM",SA(6524815),u.emDefaultContourLevel||Ly.IsoValue.relative(1),u.header.sampling[0].valuesInfo[0],s.em)},{isFlat:!0}):ir.Group({"2fo-fc":e("2Fo-Fc",SA(3367602),Ly.IsoValue.relative(1.5),u.header.sampling[0].valuesInfo[0],s["2fo-fc"]),"fo-fc(+ve)":e("Fo-Fc(+ve)",SA(3390259),Ly.IsoValue.relative(3),u.header.sampling[0].valuesInfo[1],s["fo-fc(+ve)"]),"fo-fc(-ve)":e("Fo-Fc(-ve)",SA(12268339),Ly.IsoValue.relative(-3),u.header.sampling[0].valuesInfo[1],s["fo-fc(-ve)"])},{isFlat:!0})}}A.createParams=function(A){void 0===A&&(A={});var e=A.data,t=A.defaultView,n=A.channelParams,i=new Map;e&&e.entries.forEach((function(A){return i.set(A.dataId,A)}));var o=e?e.entries.map((function(A){return[A.dataId,A.dataId]})):[],a=e?e.entries[0].dataId:"";return{entry:ir.Mapped(a,o,(function(A){return ir.Group(r({entryData:i.get(A),defaultView:t,structure:e&&e.structure,channelParams:n}))}))}},A.createEntryParams=r,A.ViewTypeOptions=[["off","Off"],["box","Bounded Box"],["selection-box","Around Focus"],["cell","Whole Structure"],["auto","Auto"]],A.ChannelTypeOptions=[["em","em"],["2fo-fc","2fo-fc"],["fo-fc(+ve)","fo-fc(+ve)"],["fo-fc(-ve)","fo-fc(-ve)"]];var n=function(A){function e(e,t){var r=A.call(this,e,{})||this;return r.plugin=e,r.data=t,r.cache=s1.create(25),r.params={},r.lastLoci=PN,r.ref="",r.channels={},r._invTransform=nA(),r.infoMap=new Map,r.data.entries.forEach((function(A){return r.infoMap.set(A.dataId,A)})),r}return v(e,A),Object.defineProperty(e.prototype,"info",{get:function(){return this.infoMap.get(this.params.entry.name)},enumerable:!1,configurable:!0}),e.prototype.queryData=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s,u;return U(this,(function(g){switch(g.label){case 0:return e=iV(this.data.serverUrl,"".concat(this.info.kind,"/").concat(this.info.dataId.toLowerCase())),A?(t=A.min,r=A.max,e+="/box"+"/".concat(t.map((function(A){return Math.round(1e3*A)/1e3})).join(","))+"/".concat(r.map((function(A){return Math.round(1e3*A)/1e3})).join(","))):e+="/cell",n=this.params.entry.params.detailLevel,"auto"===this.params.entry.params.view.name&&this.params.entry.params.view.params.isSelection&&(n=this.params.entry.params.view.params.selectionDetailLevel),e+="?detail=".concat(n),(i=s1.get(this.cache,e))?[2,i.data]:(o=$t.getUrlAsset(this.plugin.managers.asset,e),[4,this.plugin.runTask(this.plugin.managers.asset.resolve(o,"binary"))]);case 1:return a=g.sent(),[4,this.parseCif(a.data)];case 2:return(s=g.sent())?((u=s1.set(this.cache,e,{data:s,asset:a}))&&u.asset.dispose(),[2,s]):[2]}}))}))},e.prototype.parseCif=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o;return U(this,(function(a){switch(a.label){case 0:return[4,this.plugin.runTask(Fg.parseBinary(A))];case 1:if((e=a.sent()).isError)return this.plugin.log.error("VolumeStreaming, parsing CIF: "+e.toString()),[2];if(e.result.blocks.length<2)return this.plugin.log.error("VolumeStreaming: Invalid data."),[2];t={},r=1,a.label=2;case 2:return r<e.result.blocks.length?(n=e.result.blocks[r],i=Fg.schema.densityServer(n),[4,this.plugin.runTask(nU(i))]):[3,5];case 3:o=a.sent(),t[n.header]=o,a.label=4;case 4:return r++,[3,2];case 5:return[2,t]}}))}))},e.prototype.updateSelectionBoxParams=function(A){if("selection-box"===this.params.entry.params.view.name){var e=this.plugin.state.data,t=w(w({},this.params),{entry:{name:this.params.entry.name,params:w(w({},this.params.entry.params),{view:{name:"selection-box",params:{radius:this.params.entry.params.view.params.radius,bottomLeft:A.min,topRight:A.max}}})}}),r=e.build().to(this.ref).update(t);sV.State.Update(this.plugin,{state:e,tree:r,options:{doNotUpdateCurrent:!0}})}},e.prototype.updateAutoParams=function(A,e){if("auto"===this.params.entry.params.view.name){var t=this.plugin.state.data,r=w(w({},this.params),{entry:{name:this.params.entry.name,params:w(w({},this.params.entry.params),{view:{name:"auto",params:{radius:this.params.entry.params.view.params.radius,selectionDetailLevel:this.params.entry.params.view.params.selectionDetailLevel,isSelection:e,bottomLeft:(null==A?void 0:A.min)||gA.zero(),topRight:(null==A?void 0:A.max)||gA.zero()}}})}}),n=t.build().to(this.ref).update(r);sV.State.Update(this.plugin,{state:t,tree:n,options:{doNotUpdateCurrent:!0}})}},e.prototype.getStructureRoot=function(){return this.plugin.state.data.select(xd.Generators.byRef(this.ref).rootOfType(qf.Molecule.Structure))[0]},e.prototype.register=function(A){var e=this;this.ref=A,this.subscribeObservable(this.plugin.state.events.object.removed,(function(A){qf.Molecule.Structure.is(A.obj)&&dI.is(e.lastLoci)&&e.lastLoci.structure===A.obj.data&&(e.lastLoci=PN)})),this.subscribeObservable(this.plugin.state.events.object.updated,(function(A){qf.Molecule.Structure.is(A.oldObj)&&dI.is(e.lastLoci)&&e.lastLoci.structure===A.oldObj.data&&(e.lastLoci=PN)})),this.subscribeObservable(this.plugin.managers.structure.focus.behaviors.current,(function(A){if(e.plugin.state.data.tree.children.has(e.ref)){var t=A?A.loci:PN;switch(e.params.entry.params.view.name){case"auto":e.updateAuto(t);break;case"selection-box":e.updateSelectionBox(t);break;default:e.lastLoci=t}}}))},e.prototype.unregister=function(){for(var A=this.cache.entries.first;A;)A.value.data.asset.dispose(),A=A.next},e.prototype.getBoxFromLoci=function(A){var e,t,r;if(VN.isEmpty(A)||JN(A))return Ns();var n=this.plugin.helpers.substructureParent.get(A.structure,!0);if(!n)return Ns();var i=this.getStructureRoot();if(!i||(null===(e=i.obj)||void 0===e?void 0:e.data)!==(null===(t=n.obj)||void 0===t?void 0:t.data))return Ns();var o=Ic.get(null===(r=i.obj)||void 0===r?void 0:r.data.models[0]);o&&nA.invert(this._invTransform,o);var a=dI.extendToWholeResidues(A),s=dI.getBoundary(a,o&&!Number.isNaN(this._invTransform[0])?this._invTransform:void 0).box;return 1===dI.size(a)&&Ns.expand(s,s,gA.create(1,1,1)),s},e.prototype.updateAuto=function(A){if(this.lastLoci=A,JN(A))this.updateAutoParams("x-ray"===this.info.kind?this.data.structure.boundary.box:void 0,!1);else{var e=this.getBoxFromLoci(A);this.updateAutoParams(e,!0)}},e.prototype.updateSelectionBox=function(A){if(VN.areEqual(this.lastLoci,A))return this.lastLoci=PN,void this.updateSelectionBoxParams(Ns());if(this.lastLoci=A,JN(A))this.updateSelectionBoxParams(Ns());else{var e=this.getBoxFromLoci(A);this.updateSelectionBoxParams(e)}},e.prototype.update=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a;return U(this,(function(s){switch(s.label){case 0:switch(e="selection-box"===A.entry.params.view.name&&this.params&&this.params.entry&&this.params.entry.params&&this.params.entry.params.view&&"selection-box"!==this.params.entry.params.view.name,this.params=A,t=void 0,r=!1,A.entry.params.view.name){case"off":r=!0;break;case"box":t=Ns.create(A.entry.params.view.params.bottomLeft,A.entry.params.view.params.topRight),r=Ns.volume(t)<1e-4;break;case"selection-box":t=e?this.getBoxFromLoci(this.lastLoci)||Ns():Ns.create(gA.clone(A.entry.params.view.params.bottomLeft),gA.clone(A.entry.params.view.params.topRight)),n=A.entry.params.view.params.radius,r=Ns.volume(t)<1e-4,Ns.expand(t,t,gA.create(n,n,n));break;case"cell":t="x-ray"===this.info.kind?this.data.structure.boundary.box:void 0;break;case"auto":(t=A.entry.params.view.params.isSelection||"x-ray"===this.info.kind?Ns.create(gA.clone(A.entry.params.view.params.bottomLeft),gA.clone(A.entry.params.view.params.topRight)):void 0)&&(r=Ns.volume(t)<1e-4,A.entry.params.view.params.isSelection&&(n=A.entry.params.view.params.radius,Ns.expand(t,t,gA.create(n,n,n))))}return r?(o={},[3,3]):[3,1];case 1:return[4,this.queryData(t)];case 2:o=s.sent(),s.label=3;case 3:return(i=o)?(a=A.entry.params.channels,"x-ray"===this.info.kind?(this.channels["2fo-fc"]=this.createChannel(i["2FO-FC"]||Ly.One,a["2fo-fc"],this.info.header.sampling[0].valuesInfo[0]),this.channels["fo-fc(+ve)"]=this.createChannel(i["FO-FC"]||Ly.One,a["fo-fc(+ve)"],this.info.header.sampling[0].valuesInfo[1]),this.channels["fo-fc(-ve)"]=this.createChannel(i["FO-FC"]||Ly.One,a["fo-fc(-ve)"],this.info.header.sampling[0].valuesInfo[1])):this.channels.em=this.createChannel(i.EM||Ly.One,a.em,this.info.header.sampling[0].valuesInfo[0]),[2,!0]):[2,!1]}}))}))},e.prototype.createChannel=function(A,e,t){var r=e;return{data:A,color:r.color,wireframe:r.wireframe,opacity:r.opacity,isoValue:"relative"===r.isoValue.kind?r.isoValue:Ly.IsoValue.toRelative(r.isoValue,t)}},e.prototype.getDescription=function(){return"selection-box"===this.params.entry.params.view.name?"Selection":"box"===this.params.entry.params.view.name?"Static Box":"cell"===this.params.entry.params.view.name?"Cell":""},e}(J_.WithSubscribers);A.Behavior=n}(c1||(c1={}));var N1=[[w1(qf.Molecule.Trajectory),function(A,e){A.currentTrajectory=D1(A,e,A.hierarchy.trajectories,l1,e)},function(A){return A.currentTrajectory=void 0}],[F1(qf.Molecule.Model,(function(A){return A.currentModel})),function(A,e){A.currentTrajectory?A.currentModel=D1(A,e,A.currentTrajectory.models,Q1,e,A.currentTrajectory):A.currentModel=b1(A,e,Q1,e),A.hierarchy.models.push(A.currentModel)},function(A){return A.currentModel=void 0}],[U1(wM.Model.CustomModelProperties),function(A,e){if(!A.currentModel)return!1;A.currentModel.properties=b1(A,e,I1,e,A.currentModel)},S1],[U1(wM.Representation.ModelUnitcell3D),function(A,e){if(!A.currentModel)return!1;A.currentModel.unitcell=b1(A,e,d1,e,A.currentModel)},S1],[F1(qf.Molecule.Structure,(function(A){return A.currentStructure})),function(A,e){A.currentModel?A.currentStructure=D1(A,e,A.currentModel.structures,h1,e,A.currentModel):A.currentStructure=b1(A,e,h1,e),A.hierarchy.structures.push(A.currentStructure)},function(A){return A.currentStructure=void 0}],[U1(wM.Model.CustomStructureProperties),function(A,e){if(!A.currentStructure)return!1;A.currentStructure.properties=b1(A,e,E1,e,A.currentStructure)},S1],[U1(wM.Model.TransformStructureConformation),function(A,e){if(!A.currentStructure)return!1;A.currentStructure.transform=b1(A,e,f1,e,A.currentStructure)},S1],[w1(c1),function(A,e){return!!A.currentStructure&&(A.currentStructure.volumeStreaming=b1(A,e,C1,e,A.currentStructure),!1)},S1],[function(A,e){return!(e.currentComponent||!e.currentStructure||A.transform.transformer.definition.isDecorator)&&qf.Molecule.Structure.is(A.obj)},function(A,e){A.currentStructure&&(A.currentComponent=D1(A,e,A.currentStructure.components,m1,e,A.currentStructure))},function(A){return A.currentComponent=void 0}],[function(A,e){return!A.state.isGhost&&!!e.currentComponent&&qf.Molecule.Structure.Representation3D.is(A.obj)},function(A,e){return A.currentComponent&&D1(A,e,A.currentComponent.representations,y1,e,A.currentComponent),!1},S1],[function(A){return!A.state.isGhost&&qf.isRepresentation3D(A.obj)},function(A,e){var t=A.currentComponent||A.currentStructure||A.currentModel;t&&(t.genericRepresentations||(t.genericRepresentations=[]),D1(A,e,t.genericRepresentations,v1,e,t))},S1]];function R1(A){if(!A||!(null==A?void 0:A.parent)||!A.parent.cells.has(A.transform.ref))return!1;var e=A.obj;return!(!e||e===Dd.Null||"ok"!==A.status&&"error"!==A.status)}function H1(A){R1(A.cell)||(this.changed=!0)}function G1(A){M1(this,this.tree.transforms.get(A))}function M1(A,e){var t=A.state,r=t.state.cells.get(e.ref);if(R1(r)){for(var n=void 0,i=!1,o=0,a=N1;o<a.length;o++){var s=a[o],u=s[0],g=s[1],c=s[2];if(u(r,t)){if(!1===g(t,r)){i=!0;break}n=c;break}}if(!i){var B=A.tree.children.get(e.ref);B&&B.size&&B.forEach(G1,A),n&&n(t)}}}var L1=function(A){function e(e){var t=A.call(this)||this;return t.plugin=e,t.state={syncedTree:t.dataState.tree,notified:!1,hierarchy:B1(),selection:{trajectories:[],models:[],structures:[]}},t.behaviors={selection:t.ev.behavior({hierarchy:t.current,trajectories:t.selection.trajectories,models:t.selection.models,structures:t.selection.structures})},t._currentComponentGroups=void 0,t._currentSelectionSet=void 0,t.subscribe(e.state.data.events.changed,(function(A){A.inTransaction||e.behaviors.state.isAnimating.value||t.sync(!0)})),t.subscribe(e.behaviors.state.isAnimating,(function(A){A||e.behaviors.state.isUpdating.value||t.sync(!0)})),t}return v(e,A),Object.defineProperty(e.prototype,"dataState",{get:function(){return this.plugin.state.data},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"currentComponentGroups",{get:function(){return this._currentComponentGroups||(this._currentComponentGroups=e.getComponentGroups(this.selection.structures)),this._currentComponentGroups},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"seletionSet",{get:function(){if(this._currentSelectionSet)return this._currentSelectionSet;this._currentSelectionSet=new Set;for(var A=0,e=this.selection.trajectories;A<e.length;A++){var t=e[A];this._currentSelectionSet.add(t.cell.transform.ref)}for(var r=0,n=this.selection.models;r<n.length;r++)t=n[r],this._currentSelectionSet.add(t.cell.transform.ref);for(var i=0,o=this.selection.structures;i<o.length;i++)t=o[i],this._currentSelectionSet.add(t.cell.transform.ref);return this._currentSelectionSet},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"current",{get:function(){return this.sync(!1),this.state.hierarchy},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"selection",{get:function(){return this.sync(!1),this.state.selection},enumerable:!1,configurable:!0}),e.prototype.getStructuresWithSelection=function(){for(var A=[],e=0,t=this.plugin.managers.structure.hierarchy.current.structures;e<t.length;e++){var r=t[e];this.plugin.managers.structure.selection.structureHasSelection(r)&&A.push(r)}return A},e.prototype.syncCurrent=function(A,e){for(var t=this.seletionSet,r=[],n=0,i=A;n<i.length;n++){var o=i[n],a=o.cell.transform.ref;(t.has(a)||e.has(a))&&r.push(o)}return 0===r.length?A.length>0?[A[0]]:[]:r},e.prototype.sync=function(A){if(A||!this.dataState.inUpdate)if(this.state.syncedTree!==this.dataState.tree){this.state.syncedTree=this.dataState.tree;var e=(o=this.plugin.state.data,a=this.current,s=function(A,e){return{state:A,oldHierarchy:e,hierarchy:B1(),changed:!1,added:new Set}}(o,a||B1()),function(A,e){M1({tree:A,state:e},A.root)}(o.tree,s),a&&a.refs.forEach(H1,s),{hierarchy:s.hierarchy,added:s.added,changed:s.changed});if(e.changed){var t=e.hierarchy,r=this.syncCurrent(t.trajectories,e.added),n=this.syncCurrent(t.models,e.added),i=this.syncCurrent(t.structures,e.added);this._currentComponentGroups=void 0,this._currentSelectionSet=void 0,this.state.hierarchy=t,this.state.selection.trajectories=r,this.state.selection.models=n,this.state.selection.structures=i,A?(this.state.notified=!0,this.behaviors.selection.next({hierarchy:t,trajectories:r,models:n,structures:i})):this.state.notified=!1}}else A&&!this.state.notified&&(this.state.notified=!0,this.behaviors.selection.next(w({hierarchy:this.state.hierarchy},this.state.selection)));var o,a,s},e.prototype.updateCurrent=function(A,e){for(var t=this.current,r="add"===e?oa.union(this.seletionSet,new Set(A.map((function(A){return A.cell.transform.ref})))):oa.difference(this.seletionSet,new Set(A.map((function(A){return A.cell.transform.ref})))),n=[],i=[],o=[],a=0,s=t.trajectories;a<s.length;a++){var u=s[a];r.has(u.cell.transform.ref)&&n.push(u)}for(var g=0,c=t.models;g<c.length;g++){var B=c[g];r.has(B.cell.transform.ref)&&i.push(B)}for(var l=0,Q=t.structures;l<Q.length;l++){var I=Q[l];r.has(I.cell.transform.ref)&&o.push(I)}this._currentComponentGroups=void 0,this._currentSelectionSet=void 0,this.state.selection.trajectories=n,this.state.selection.models=i,this.state.selection.structures=o,this.behaviors.selection.next({hierarchy:t,trajectories:n,models:i,structures:o})},e.prototype.remove=function(A,e){if(0!==A.length){for(var t=this.plugin.state.data.build(),r=0,n=A;r<n.length;r++){var i=n[r];t.delete("string"==typeof i?i:i.cell.transform.ref)}return t.commit({canUndo:!!e&&"Remove"})}},e.prototype.toggleVisibility=function(A,e){if(0!==A.length)for(var t=void 0!==e?"show"!==e:!A[0].cell.state.isHidden,r=0,n=A;r<n.length;r++){var i=n[r];hV(this.dataState,i.cell.transform.ref,t)}},e.prototype.applyPreset=function(A,e,t){var r=this;return this.plugin.dataTransaction((function(){return F(r,void 0,void 0,(function(){var r,n,i;return U(this,(function(o){switch(o.label){case 0:r=0,n=A,o.label=1;case 1:return r<n.length?(i=n[r]).models.length>0?[4,this.clearTrajectory(i)]:[3,3]:[3,6];case 2:o.sent(),o.label=3;case 3:return[4,this.plugin.builders.structure.hierarchy.applyPreset(i.cell,e,t)];case 4:o.sent(),o.label=5;case 5:return r++,[3,1];case 6:return[2]}}))}))}))},e.prototype.updateStructure=function(A,e){return F(this,void 0,void 0,(function(){var t=this;return U(this,(function(r){switch(r.label){case 0:return[4,this.plugin.dataTransaction((function(){return F(t,void 0,void 0,(function(){var t,r;return U(this,(function(n){switch(n.label){case 0:return t=Ld.getDecoratorRoot(this.dataState.tree,A.cell.transform.ref),r=this.dataState.tree.children.get(t).toArray(),[4,this.remove(r,!1)];case 1:return n.sent(),[4,this.plugin.state.updateTransform(this.plugin.state.data,A.cell.transform.ref,e,"Structure Type")];case 2:return n.sent(),[4,this.plugin.builders.structure.representation.applyPreset(A.cell.transform.ref,"auto")];case 3:return n.sent(),[2]}}))}))}),{canUndo:"Structure Type"})];case 1:return r.sent(),sV.Camera.Reset(this.plugin),[2]}}))}))},e.prototype.clearTrajectory=function(A){for(var e=this.dataState.build(),t=0,r=A.models;t<r.length;t++){var n=r[t];e.delete(n.cell)}return e.commit()},e}(W_);!function(A){A.getComponentGroups=function(A){if(!A.length)return[];if(1===A.length)return A[0].components.map((function(A){return[A]}));for(var e=[],t=new Map,r=0,n=A;r<n.length;r++)for(var i=0,o=n[r].components;i<o.length;i++){var a=o[i],s=a.key;if(s){var u=t.get(s);u||(u=[],t.set(s,u),e.push(u)),u.push(a)}}return e},A.getSelectedStructuresDescription=function(A){var e,t,r,n,i,o,a,s,u,g=A.managers.structure.hierarchy.selection.structures;if(0===g.length)return"";if(1===g.length){var c=null===(e=(f=g[0]).cell.obj)||void 0===e?void 0:e.data;if(!c)return(null===(t=f.cell.obj)||void 0===t?void 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F(this,void 0,void 0,(function(){var i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:return i=this.pivot,o=b0.props(i.cell.obj.data),ir.areEqual(b0.defaultParams,o,A)?[2]:i.properties?((a=this.plugin.state.data.build()).to(i.properties.cell).update((function(e){e.properties[b0.descriptor.name]=A})),[4,a.commit()]):[3,2];case 1:return l.sent(),[3,4];case 2:return s=this.plugin.customStructureProperties.getParams(null===(e=i.cell.obj)||void 0===e?void 0:e.data),(u=ir.getDefaultValues(s)).properties[b0.descriptor.name]=A,[4,this.plugin.builders.structure.insertStructureProperties(i.cell,u)];case 3:l.sent(),l.label=4;case 4:g=0,c=this.plugin.managers.structure.hierarchy.currentComponentGroups,l.label=5;case 5:return g<c.length?(B=c[g],-1!==A.symmetryIndex?[3,8]:(null===(n=null===(r=null===(t=B[0])||void 0===t?void 0:t.representations[0])||void 0===r?void 0:r.cell.transform.params)||void 0===n?void 0:n.colorTheme.name)!==I0.Tag.Cluster?[3,7]:[4,this.plugin.managers.structure.component.updateRepresentationsTheme(B,{color:"default"})]):[3,11];case 6:l.sent(),l.label=7;case 7:return[3,10];case 8:return K1(this.plugin,i.cell),[4,this.plugin.managers.structure.component.updateRepresentationsTheme(B,{color:I0.Tag.Cluster})];case 9:l.sent(),l.label=10;case 10:return g++,[3,5];case 11:return[2]}}))}))},Object.defineProperty(e.prototype,"hasAssemblySymmetry3D",{get:function(){return!this.pivot.cell.parent||!!xd.findTagInSubtree(this.pivot.cell.parent.tree,this.pivot.cell.transform.ref,I0.Tag.Representation)},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"enable",{get:function(){return!this.hasAssemblySymmetry3D&&-1!==this.values.symmetryIndex},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"noSymmetries",{get:function(){var A,e=null===(A=this.pivot.cell.obj)||void 0===A?void 0:A.data,t=e&&p0.get(e).value;return t&&0===t.filter((function(A){return"C1"!==A.symbol})).length},enumerable:!1,configurable:!0}),e.prototype.renderParams=function(){return(0,Zz.jsx)(Zz.Fragment,{children:(0,Zz.jsx)(UX,{params:this.params,values:this.values,onChangeValues:this.paramsOnChange},void 0)},void 0)},e.prototype.renderControls=function(){return this.pivot?this.noSymmetries?this.renderNoSymmetries():this.enable?this.renderEnable():this.renderParams():null},e}(rX),Y1=Rd.build({from:qf.Molecule.Structure})((function(A,e){A.a;var t=A.ref;return A.state,Pe.create("Enable Assembly Symmetry",(function(A){return F(void 0,void 0,void 0,(function(){return U(this,(function(A){switch(A.label){case 0:return[4,O1.apply(t,Object.create(null),e)];case 1:return A.sent(),[2]}}))}))}))})),_1=I0.Tag,V1=J_.create({name:"rcsb-assembly-symmetry-prop",category:"custom-props",display:{name:"Assembly Symmetry",description:"Assembly Symmetry data calculated with BioJava, obtained via RCSB PDB."},ctor:function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.provider=b0,e}return v(e,A),e.prototype.register=function(){this.ctx.state.data.actions.add(T1),this.ctx.customStructureProperties.register(this.provider,this.params.autoAttach),this.ctx.representation.structure.themes.colorThemeRegistry.add(o1),this.ctx.genericRepresentationControls.set(_1.Representation,(function(A){var e=[];return A.structures.forEach((function(A){var t,r=null===(t=A.genericRepresentations)||void 0===t?void 0:t.filter((function(A){return A.cell.transform.transformer.id===P1.id}))[0];r&&e.push(r)})),[e,"Symmetries"]})),this.ctx.customStructureControls.set(_1.Representation,k1),this.ctx.builders.structure.representation.registerPreset(O1)},e.prototype.update=function(A){var e=this.params.autoAttach!==A.autoAttach;return this.params.autoAttach=A.autoAttach,this.ctx.customStructureProperties.setDefaultAutoAttach(this.provider.descriptor.name,this.params.autoAttach),e},e.prototype.unregister=function(){this.ctx.state.data.actions.remove(T1),this.ctx.customStructureProperties.unregister(this.provider.descriptor.name),this.ctx.representation.structure.themes.colorThemeRegistry.remove(o1),this.ctx.genericRepresentationControls.delete(_1.Representation),this.ctx.customStructureControls.delete(_1.Representation),this.ctx.builders.structure.representation.unregisterPreset(O1)},e}(J_.Handler),params:function(){return{autoAttach:ir.Boolean(!1),serverUrl:ir.Text(I0.DefaultServerUrl)}}}),T1=Rd.build({display:{name:"Assembly Symmetry",description:"Initialize Assembly Symmetry axes and cage. 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null!==r&&r.value===t}function r2(A){return{mean:parseFloat(e2(A,"mean")),obs:parseFloat(e2(A,"obsval")),stdev:parseFloat(e2(A,"stdev")),z:parseFloat(e2(A,"Zscore"))}}function n2(A){return{mean:parseFloat(e2(A,"mean")),obs:parseFloat(e2(A,"obs")),stdev:parseFloat(e2(A,"stdev")),z:parseInt(e2(A,"z"))}}function i2(A,e,t){t.has(e)?t.get(e).push(A):t.set(e,[A])}var o2=SA(13421772),a2={name:x1.Tag.RandomCoilIndex,label:"Random Coil Index",category:"Validation",factory:function A(e,t){var r,n,i=function(){return o2},o=Li.create({reverse:!0,domain:[0,.6],listOrName:"red-yellow-blue"}),a=e.structure&&Z1.get(e.structure.models[0]),s=null==a?void 0:a.version,u=null===(r=null==a?void 0:a.value)||void 0===r?void 0:r.rci,g=null===(n=e.structure)||void 0===n?void 0:n.models[0];if(u&&g){var c=g.atomicHierarchy.residueAtomSegments.index,B=function(A){var e=u.get(c[A]);return void 0===e?o2:o.color(e)};i=function(A){return 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v(e,A),e.prototype.register=function(){Qf.addCustomProp(this.provider.descriptor),this.ctx.customModelProperties.register(this.provider,this.params.autoAttach),this.ctx.managers.lociLabels.addProvider(this.labelProvider),this.ctx.representation.structure.themes.colorThemeRegistry.add(R2),this.ctx.representation.structure.themes.colorThemeRegistry.add(I2),this.ctx.representation.structure.themes.colorThemeRegistry.add(a2),this.ctx.representation.structure.registry.add(S2),this.ctx.query.structure.registry.add(x2),this.ctx.builders.structure.representation.registerPreset(k2),this.ctx.builders.structure.representation.registerPreset(Y2),this.ctx.builders.structure.representation.registerPreset(_2)},e.prototype.update=function(A){var e=this.params.autoAttach!==A.autoAttach;return this.params.autoAttach=A.autoAttach,this.params.showTooltip=A.showTooltip,this.ctx.customStructureProperties.setDefaultAutoAttach(this.provider.descriptor.name,this.params.autoAttach),e},e.prototype.unregister=function(){Qf.removeCustomProp(this.provider.descriptor),this.ctx.customStructureProperties.unregister(this.provider.descriptor.name),this.ctx.managers.lociLabels.removeProvider(this.labelProvider),this.ctx.representation.structure.themes.colorThemeRegistry.remove(R2),this.ctx.representation.structure.themes.colorThemeRegistry.remove(I2),this.ctx.representation.structure.themes.colorThemeRegistry.remove(a2),this.ctx.representation.structure.registry.remove(S2),this.ctx.query.structure.registry.remove(x2),this.ctx.builders.structure.representation.unregisterPreset(k2),this.ctx.builders.structure.representation.unregisterPreset(Y2),this.ctx.builders.structure.representation.unregisterPreset(_2)},e}(J_.Handler),params:function(){return{autoAttach:ir.Boolean(!1),showTooltip:ir.Boolean(!0),baseUrl:ir.Text(x1.DefaultBaseUrl)}}});function G2(A){if("element-loci"===A.kind){if(0===A.elements.length)return;if(1===A.elements.length&&1===Tn.size(A.elements[0].indices)){var e=A.elements[0],t=e.unit,r=e.indices,n=Z1.get(t.model).value;if(!n)return;if(!t.model.customProperties.hasReference(Z1.descriptor))return;var i=n.bondOutliers,o=n.angleOutliers,a=t.elements[Tn.start(r)],s=new Set,u=i.index.get(a);u&&u.forEach((function(A){return s.add(i.data[A].tag)}));var g=o.index.get(a);if(g&&g.forEach((function(A){return s.add(o.data[A].tag)})),0===s.size)return"Geometry Quality <small>(1 Atom)</small>: no issues";var c=[];return s.forEach((function(A){return c.push(A)})),"Geometry Quality <small>(1 Atom)</small>: ".concat(c.join(", "))}for(var B=!1,l=new Set,Q=new Map,I=function(A,e){var t=Z1.get(e.model).value;if(!t)return"continue";if(!e.model.customProperties.hasReference(Z1.descriptor))return"continue";B=!0;var r=t.geometryIssues,n=e.model.atomicHierarchy.residueAtomSegments.index,i=e.elements;Tn.forEach(A,(function(A){var t=i[A],o=n[t],a=ie(o,e.id);if(!l.has(a)){var s=r.get(o);s&&s.forEach((function(A){var e=Q.get(A)||0;Q.set(A,e+1)})),l.add(a)}}))},d=0,h=A.elements;d<h.length;d++){var E=h[d];I(r=E.indices,t=E.unit)}if(!B)return;var f="<small>(".concat(l.size," ").concat(l.size>1?"Residues":"Residue",")</small>");if(0===Q.size)return"Geometry Quality ".concat(f,": no issues");var C=[];return Q.forEach((function(A,e){C.push("".concat(e).concat(A>1?" × ".concat(A):""))})),"Geometry Quality ".concat(f,": ").concat(C.join(", "))}}function M2(A){if("element-loci"===A.kind){if(0===A.elements.length)return;for(var e=new Set,t=new Set,r=new Set,n=0,i=0,o=function(A,o){var a=Z1.get(o.model).value;if(!a)return"continue";if(!o.model.customProperties.hasReference(Z1.descriptor))return"continue";var s=a.rsrz,u=a.rscc,g=o.model.atomicHierarchy.residueAtomSegments.index,c=o.elements;Tn.forEach(A,(function(A){var a=c[A],B=g[a],l=ie(B,o.id);if(!e.has(l)){var Q=s.get(B),I=u.get(B);void 0!==Q?(n+=Q,t.add(l)):void 0!==I&&(i+=I,r.add(l)),e.add(l)}}))},a=0,s=A.elements;a<s.length;a++){var u=s[a];o(u.indices,u.unit)}if(0===e.size)return;var g=[];if(t.size){var c="<small>(".concat(t.size," ").concat(t.size>1?"Residues avg.":"Residue",")</small>"),B=n/t.size;g.push("Real-Space R Z-score ".concat(c,": ").concat(B.toFixed(2)))}if(r.size){var l="<small>(".concat(r.size," ").concat(r.size>1?"Residues avg.":"Residue",")</small>"),Q=i/r.size;g.push("Real-Space Correlation Coefficient ".concat(l,": ").concat(Q.toFixed(2)))}if(g.length)return g.join("</br>")}}function L2(A){if("element-loci"===A.kind){if(0===A.elements.length)return;for(var e=new Set,t=0,r=function(A,r){var n=Z1.get(r.model).value;if(!n)return"continue";if(!r.model.customProperties.hasReference(Z1.descriptor))return"continue";var i=n.rci,o=r.model.atomicHierarchy.residueAtomSegments.index,a=r.elements;Tn.forEach(A,(function(A){var n=a[A],s=o[n],u=ie(s,r.id);if(!e.has(u)){var g=i.get(s);void 0!==g&&(t+=g,e.add(u))}}))},n=0,i=A.elements;n<i.length;n++){var o=i[n];r(o.indices,o.unit)}if(0===e.size)return;var a="<small>(".concat(e.size," ").concat(e.size>1?"Residues avg.":"Residue",")</small>"),s=t/e.size;return"Random Coil Index ".concat(a,": ").concat(s.toFixed(2))}}var x2=xM("Residues with Clashes",Oc.struct.modifier.union([Oc.struct.modifier.wholeResidues([Oc.struct.modifier.union([Oc.struct.generator.atomGroups({"chain-test":Oc.core.rel.eq([Oc.ammp("objectPrimitive"),"atomistic"]),"atom-test":x1.symbols.hasClash.symbol()})])])]),{description:"Select residues with clashes in the wwPDB validation report.",category:RM.Residue,ensureCustomProperties:function(A,e){return Z1.attach(A,e.models[0])}}),k2=lO({id:"preset-structure-representation-rcsb-validation-report-geometry-uality",display:{name:"Validation Report (Geometry Quality)",group:"Annotation",description:"Color structure based on geometry quality; show geometry clashes. Data from wwPDB Validation Report, obtained via RCSB PDB."},isApplicable:function(A){return 1===A.data.models.length&&x1.isApplicable(A.data.models[0])},params:function(){return lO.CommonParams},apply:function(A,e,t){var r;return F(this,void 0,void 0,(function(){var n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E=this;return U(this,(function(f){switch(f.label){case 0:return n=Sd.resolveAndCheck(t.state.data,A),i=null===(r=null==n?void 0:n.obj)||void 0===r?void 0:r.data,n&&i?[4,t.runTask(Pe.create("Validation Report",(function(A){return F(E,void 0,void 0,(function(){return U(this,(function(e){switch(e.label){case 0:return[4,Z1.attach({runtime:A,assetManager:t.managers.asset},i.models[0])];case 1:return e.sent(),[2]}}))}))})))]:[2,{}];case 1:return f.sent(),o=I2.name,[4,wO.auto.apply(A,w(w({},e),{theme:{globalName:o,focus:{name:o}}}),t)];case 2:return a=f.sent(),s=a.components,u=a.representations,[4,t.builders.structure.tryCreateComponentFromExpression(n,x2.expression,"clashes",{label:"Clashes"})];case 3:return g=f.sent(),c=lO.reprBuilder(t,e),B=c.update,l=c.builder,Q=c.typeParams,I=c.color,u&&(d=l.buildRepresentation(B,g,{type:"ball-and-stick",typeParams:Q,color:o},{tag:"clashes-ball-and-stick"}),h=l.buildRepresentation(B,g,{type:S2.name,typeParams:Q,color:I},{tag:"clashes-repr"})),[4,B.commit({revertOnError:!0})];case 4:return f.sent(),[2,{components:w(w({},s),{clashes:g}),representations:w(w({},u),{clashesBallAndStick:d,clashesRepr:h})}]}}))}))}}),Y2=lO({id:"preset-structure-representation-rcsb-validation-report-density-fit",display:{name:"Validation Report (Density Fit)",group:"Annotation",description:"Color structure based on density fit. Data from wwPDB Validation Report, obtained via RCSB PDB."},isApplicable:function(A){return 1===A.data.models.length&&x1.isApplicable(A.data.models[0])&&dd.isFromXray(A.data.models[0])&&dd.probablyHasDensityMap(A.data.models[0])},params:function(){return lO.CommonParams},apply:function(A,e,t){var r;return F(this,void 0,void 0,(function(){var n,i,o,a=this;return U(this,(function(s){switch(s.label){case 0:return n=Sd.resolveAndCheck(t.state.data,A),i=null===(r=null==n?void 0:n.obj)||void 0===r?void 0:r.data,n&&i?[4,t.runTask(Pe.create("Validation Report",(function(A){return F(a,void 0,void 0,(function(){return U(this,(function(e){switch(e.label){case 0:return[4,Z1.attach({runtime:A,assetManager:t.managers.asset},i.models[0])];case 1:return e.sent(),[2]}}))}))})))]:[2,{}];case 1:return s.sent(),o=R2.name,[4,wO.auto.apply(A,w(w({},e),{theme:{globalName:o,focus:{name:o}}}),t)];case 2:return[2,s.sent()]}}))}))}}),_2=lO({id:"preset-structure-representation-rcsb-validation-report-random-coil-index",display:{name:"Validation Report (Random Coil Index)",group:"Annotation",description:"Color structure based on Random Coil Index. Data from wwPDB Validation Report, obtained via RCSB PDB."},isApplicable:function(A){return 1===A.data.models.length&&x1.isApplicable(A.data.models[0])&&dd.isFromNmr(A.data.models[0])},params:function(){return lO.CommonParams},apply:function(A,e,t){var r;return F(this,void 0,void 0,(function(){var n,i,o,a=this;return U(this,(function(s){switch(s.label){case 0:return n=Sd.resolveAndCheck(t.state.data,A),i=null===(r=null==n?void 0:n.obj)||void 0===r?void 0:r.data,n&&i?[4,t.runTask(Pe.create("Validation Report",(function(A){return F(a,void 0,void 0,(function(){return U(this,(function(e){switch(e.label){case 0:return[4,Z1.attach({runtime:A,assetManager:t.managers.asset},i.models[0])];case 1:return e.sent(),[2]}}))}))})))]:[2,{}];case 1:return s.sent(),o=a2.name,[4,wO.auto.apply(A,w(w({},e),{theme:{globalName:o,focus:{name:o}}}),t)];case 2:return[2,s.sent()]}}))}))}}),V2={rcsb:ir.Group({encoding:ir.Select("bcif",[["cif","cif"],["bcif","bcif"]])},{label:"RCSB PDB",isFlat:!0}),pdbe:ir.Group({variant:ir.Select("updated-bcif",[["updated-bcif","Updated (bcif)"],["updated","Updated"],["archival","Archival"]])},{label:"PDBe",isFlat:!0})},T2=Rd.build({from:qf.Root,display:{name:"Download Structure",description:"Load a structure from the provided source and create its representation."},params:function(A,e){var t=function(A){return ir.Group({type:Sw.getParams(void 0,"auto").type,representation:ir.Select(wO.auto.id,A.builders.structure.representation.getPresets().map((function(A){return[A.id,A.display.name,A.display.group]})),{description:"Which representation preset to use."}),representationParams:ir.Group(lO.CommonParams,{isHidden:!0}),asTrajectory:ir.Optional(ir.Boolean(!1,{description:"Load all entries into a single trajectory."}))},{isExpanded:!1})}(e),r=e.config.get(SL.Download.DefaultPdbProvider)||"pdbe";return{source:ir.MappedStatic("pdb",{pdb:ir.Group({provider:ir.Group({id:ir.Text("1tqn",{label:"PDB Id(s)",description:"One or more comma/space separated PDB ids."}),server:ir.MappedStatic(r,V2)},{pivot:"id"}),options:t},{isFlat:!0,label:"PDB"}),"pdb-dev":ir.Group({provider:ir.Group({id:ir.Text("PDBDEV_00000001",{label:"PDBDev Id(s)",description:"One or more comma/space separated ids."}),encoding:ir.Select("bcif",[["cif","cif"],["bcif","bcif"]])},{pivot:"id"}),options:t},{isFlat:!0,label:"PDBDEV"}),swissmodel:ir.Group({id:ir.Text("Q9Y2I8",{label:"UniProtKB AC(s)",description:"One or more comma/space separated ACs."}),options:t},{isFlat:!0,label:"SWISS-MODEL",description:"Loads the best homology model or experimental structure"}),pubchem:ir.Group({id:ir.Text("2244,2245",{label:"PubChem ID",description:"One or more comma/space separated IDs."}),options:t},{isFlat:!0,label:"PubChem",description:"Loads 3D conformer from PubChem."}),url:ir.Group({url:ir.Url(""),format:ir.Select("mmcif",ir.arrayToOptions(Hz.map((function(A){return A[0]})),(function(A){return A}))),isBinary:ir.Boolean(!1),options:t},{isFlat:!0,label:"URL"})})}}})((function(A,e){var t=A.params,r=A.state;return Pe.create("Download Structure",(function(A){return F(void 0,void 0,void 0,(function(){var n,i,o,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:switch(e.behaviors.layout.leftPanelTabName.next("data"),n=t.source,o=!1,a="mmcif",n.name){case"url":i=[{url:n.params.url,isBinary:n.params.isBinary}],a=n.params.format;break;case"pdb":i="pdbe"===n.params.provider.server.name?"updated"===n.params.provider.server.params.variant?P2(n.params.provider.id,(function(A){return"https://www.ebi.ac.uk/pdbe/static/entry/".concat(A.toLowerCase(),"_updated.cif")}),(function(A){return"PDBe: ".concat(A," (updated cif)")}),!1):"updated-bcif"===n.params.provider.server.params.variant?P2(n.params.provider.id,(function(A){return"https://www.ebi.ac.uk/pdbe/entry-files/download/".concat(A.toLowerCase(),".bcif")}),(function(A){return"PDBe: ".concat(A," (updated 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A.toUpperCase().startsWith("PDBDEV_")?A:"PDBDEV_".concat(A.padStart(8,"0"))}),"bcif"===n.params.provider.encoding),o=!!n.params.options.asTrajectory;break;case"swissmodel":i=P2(n.params.id,(function(A){return"https://swissmodel.expasy.org/repository/uniprot/".concat(A.toUpperCase(),".pdb")}),(function(A){return"SWISS-MODEL: ".concat(A)}),!1),o=!!n.params.options.asTrajectory,a="pdb";break;case"pubchem":i=P2(n.params.id,(function(A){return"https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/CID/".concat(A.trim(),"/record/SDF/?record_type=3d")}),(function(A){return"PubChem: ".concat(A)}),!1),o=!!n.params.options.asTrajectory,a="mol";break;default:throw new Error("".concat(n.name," not supported."))}return s=t.source.params.options.representation||wO.auto.id,u=s!==wO.empty.id,g="auto"===n.params.options.type.name?void 0:n.params.options.type,[4,r.transaction((function(){return F(void 0,void 0,void 0,(function(){var A,r,n,c,B,l;return U(this,(function(Q){switch(Q.label){case 0:return 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10:return[2]}}))}))})).runInContext(A)];case 1:return c.sent(),[2]}}))}))}))}));function P2(A,e,t,r){for(var n=A.split(/[,\s]/).map((function(A){return A.trim()})).filter((function(A){return!!A&&(A.length>=4||/^[1-9][0-9]*$/.test(A))})),i=[],o=0,a=n;o<a.length;o++){var s=a[o];i.push({url:$t.Url(e(s)),isBinary:r,label:t(s)})}return i}var J2=Rd.build({display:{name:"Update Trajectory"},params:{action:ir.Select("advance",[["advance","Advance"],["reset","Reset"]]),by:ir.Optional(ir.Numeric(1,{min:-1,max:1,step:1}))}})((function(A){var e=A.params,t=A.state,r=t.selectQ((function(A){return A.ofTransformer(wM.Model.ModelFromTrajectory)})),n=t.build();if("reset"===e.action)for(var i=0,o=r;i<o.length;i++){var a=o[i];n.to(a).update({modelIndex:0})}else for(var s=function(A){var r=xd.findAncestorOfType(t.tree,t.cells,A.transform.ref,qf.Molecule.Trajectory);if(!r||!r.obj)return"continue";var i=r.obj;n.to(A).update((function(A){var t=(A.modelIndex+e.by)%i.data.frameCount;return t<0&&(t+=i.data.frameCount),{modelIndex:t}}))},u=0,g=r;u<g.length;u++)s(a=g[u]);return t.updateTree(n)})),O2=Rd.build({display:{name:"Custom Model Properties",description:"Enable parameters for custom properties of the model."},from:qf.Molecule.Model,params:function(A,e){return e.customModelProperties.getParams(null==A?void 0:A.data)},isApplicable:function(A,e,t){return e.transformer!==zF}})((function(A,e){var t=A.ref,r=A.params;return e.builders.structure.insertModelProperties(t,r)})),K2=Rd.build({display:{name:"Custom Structure Properties",description:"Enable parameters for custom properties of the structure."},from:qf.Molecule.Structure,params:function(A,e){return e.customStructureProperties.getParams(null==A?void 0:A.data)},isApplicable:function(A,e,t){return e.transformer!==ZF}})((function(A,e){var t=A.ref,r=A.params;return e.builders.structure.insertStructureProperties(t,r)})),j2=Rd.build({display:{name:"Add Trajectory",description:"Add trajectory from existing model/topology and coordinates."},from:qf.Root,params:function(A,e){var t=e.state.data,r=S(S([],t.selectQ((function(A){return A.rootsOfType(qf.Molecule.Model)})),!0),t.selectQ((function(A){return A.rootsOfType(qf.Molecule.Topology)})),!0),n=r.map((function(A){return[A.transform.ref,A.obj.label]})),i=t.selectQ((function(A){return A.rootsOfType(qf.Molecule.Coordinates)})),o=i.map((function(A){return[A.transform.ref,A.obj.label]}));return{model:ir.Select(n.length?n[0][0]:"",n),coordinates:ir.Select(o.length?o[0][0]:"",o)}}})((function(A,e){var t=A.params,r=A.state;return Pe.create("Add Trajectory",(function(A){return r.transaction((function(){return F(void 0,void 0,void 0,(function(){var n,i,o;return U(this,(function(a){switch(a.label){case 0:return n=[t.model,t.coordinates],i=r.build().toRoot().apply(fF,{modelRef:t.model,coordinatesRef:t.coordinates},{dependsOn:n}).apply(wM.Model.ModelFromTrajectory,{modelIndex:0}),[4,r.updateTree(i).runInContext(A)];case 1:return a.sent(),[4,e.builders.structure.createStructure(i.selector)];case 2:return o=a.sent(),[4,e.builders.structure.representation.applyPreset(o,"auto")];case 3:return a.sent(),[2]}}))}))})).runInContext(A)}))})),z2=["gz","zip"],q2=["bcif","ccp4","dcd"];function Z2(A){var e,t,r="",n=(e=A instanceof File?A.name:A instanceof Blob?"":A).lastIndexOf("?"),i=-1!==n?e.substring(n):"",o=(e=e.substring(0,-1===n?e.length:n)).replace(/^.*[\\/]/,""),a=o.substring(0,o.lastIndexOf(".")),s=o.split("."),u=s.length>1?(s.pop()||"").toLowerCase():"",g=e.match(/^(.+):\/\/(.+)$/);g&&(r=g[1].toLowerCase(),e=g[2]||"");var c=e.substring(0,e.lastIndexOf("/")+1);if(z2.includes(u)){t=u;var B=e.length-u.length-1;u=(e.substr(0,B).split(".").pop()||"").toLowerCase();var l=a.length-u.length-1;a=a.substr(0,l)}else t=!1;return{path:e,name:o,ext:u,base:a,dir:c,compressed:t,binary:q2.includes(u),protocol:r,query:i,src:A}}var W2=Rd.build({from:qf.Root,display:{name:"Download Density",description:"Load a density from the provided source and create its default visual."},params:function(A,e){var t=e.dataFormats.options;return{source:ir.MappedStatic("pdb-xray",{"pdb-xray":ir.Group({provider:ir.Group({id:ir.Text("1tqn",{label:"Id"}),server:ir.Select("rcsb",[["pdbe","PDBe"],["rcsb","RCSB PDB"]])},{pivot:"id"}),type:ir.Select("2fofc",[["2fofc","2Fo-Fc"],["fofc","Fo-Fc"]])},{isFlat:!0}),"pdb-xray-ds":ir.Group({provider:ir.Group({id:ir.Text("1tqn",{label:"Id"}),server:ir.Select("pdbe",[["pdbe","PDBe"],["rcsb","RCSB PDB"]])},{pivot:"id"}),detail:ir.Numeric(3,{min:0,max:6,step:1},{label:"Detail"})},{isFlat:!0}),"pdb-emd-ds":ir.Group({provider:ir.Group({id:ir.Text("emd-8004",{label:"Id"}),server:ir.Select("pdbe",[["pdbe","PDBe"],["rcsb","RCSB PDB"]])},{pivot:"id"}),detail:ir.Numeric(3,{min:0,max:6,step:1},{label:"Detail"})},{isFlat:!0}),url:ir.Group({url:ir.Url(""),isBinary:ir.Boolean(!1),format:ir.Select("auto",t)},{isFlat:!0})},{options:[["pdb-xray","PDB X-ray maps"],["pdb-emd-ds","PDB EMD Density 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".concat(A.params.provider.id)};break;case"pdb-emd-ds":r="pdbe"===A.params.provider.server?{url:$t.Url("https://www.ebi.ac.uk/pdbe/densities/emd/".concat(A.params.provider.id.toLowerCase(),"/cell?detail=").concat(A.params.detail)),isBinary:!0,label:"PDBe EMD Density Server: ".concat(A.params.provider.id)}:{url:$t.Url("https://maps.rcsb.org/em/".concat(A.params.provider.id.toLowerCase(),"/cell?detail=").concat(A.params.detail)),isBinary:!0,label:"RCSB PDB EMD Density Server: ".concat(A.params.provider.id)};break;case"pdb-xray-ds":r="pdbe"===A.params.provider.server?{url:$t.Url("https://www.ebi.ac.uk/pdbe/densities/x-ray/".concat(A.params.provider.id.toLowerCase(),"/cell?detail=").concat(A.params.detail)),isBinary:!0,label:"PDBe X-ray Density Server: ".concat(A.params.provider.id)}:{url:$t.Url("https://maps.rcsb.org/x-ray/".concat(A.params.provider.id.toLowerCase(),"/cell?detail=").concat(A.params.detail)),isBinary:!0,label:"RCSB PDB X-ray Density Server: ".concat(A.params.provider.id)};break;default:throw new Error("".concat(A.name," not supported."))}return[4,e.builders.data.download(r)];case 1:switch(i=g.sent(),o=void 0,A.name){case"url":r=A.params,n="auto"===A.params.format?e.dataFormats.auto(Z2($t.getUrl(r.url)),null===(s=i.cell)||void 0===s?void 0:s.obj):e.dataFormats.get(A.params.format);break;case"pdb-xray":o=A.params.provider.id,n="pdbe"===A.params.provider.server?e.dataFormats.get("ccp4"):e.dataFormats.get("dsn6");break;case"pdb-emd-ds":case"pdb-xray-ds":o=A.params.provider.id,n=e.dataFormats.get("dscif");break;default:throw new Error("".concat(A.name," not supported."))}return n?[4,n.parse(e,i,{entryId:o})]:(e.log.warn("DownloadDensity: Format provider not found."),[2]);case 2:return a=g.sent(),[4,null===(u=n.visuals)||void 0===u?void 0:u.call(n,e,a)];case 3:return g.sent(),[2]}}))}))}))})),X2=Rd.build({display:{name:"Assign Volume Colors",description:"Assigns another volume to be available for coloring."},from:qf.Volume.Data,isApplicable:function(A){return!A.data.colorVolume},params:function(A,e){var t=e.state.data.select(xd.Generators.root.subtree().ofType(qf.Volume.Data).filter((function(e){var t;return!!e.obj&&!(null===(t=e.obj)||void 0===t?void 0:t.data.colorVolume)&&e.obj!==A})));return 0===t.length?{ref:ir.Text("",{isHidden:!0,label:"Volume"})}:{ref:ir.Select(t[0].transform.ref,t.map((function(A){return[A.transform.ref,A.obj.label]})),{label:"Volume"})}}})((function(A,e){var t=A.ref,r=A.params;return A.state,e.build().to(t).apply(wM.Volume.AssignColorVolume,{ref:r.ref},{dependsOn:[r.ref]}).commit()}));function $2(A,e,t){void 0===t&&(t={});var r=t;return"string"==typeof r.type||"string"==typeof r.color||"string"==typeof r.size?function(A,e,t){var r=t.type&&A.representation.volume.registry.get(t.type)||A.representation.volume.registry.default.provider,n=t.color&&A.representation.volume.themes.colorThemeRegistry.get(t.color)||A.representation.volume.themes.colorThemeRegistry.get(r.defaultColorTheme.name),i=t.size&&A.representation.volume.themes.sizeThemeRegistry.get(t.size)||A.representation.volume.themes.sizeThemeRegistry.get(r.defaultSizeTheme.name);return A3(A,e,{type:r,typeParams:t.typeParams,color:n,colorParams:t.colorParams,size:i,sizeParams:t.sizeParams})}(A,e||Ly.One,t):A3(A,e||Ly.One,t)}function A3(A,e,t){void 0===t&&(t={});var r=A.representation.volume.themes,n={volume:e},i=t.type||A.representation.volume.registry.default.provider,o=ir.getDefaultValues(i.getParams(r,e)),a=Object.assign(o,t.typeParams),s=t.color||r.colorThemeRegistry.get(i.defaultColorTheme.name),u=ir.getDefaultValues(s.getParams(n));s.name===i.defaultColorTheme.name&&Object.assign(u,i.defaultColorTheme.props);var g=Object.assign(u,t.colorParams),c=t.size||r.sizeThemeRegistry.get(i.defaultSizeTheme.name),B=ir.getDefaultValues(c.getParams(n));c.name===i.defaultSizeTheme.name&&Object.assign(B,i.defaultSizeTheme.props);var l=Object.assign(B,t.sizeParams);return{type:{name:i.name,params:a},colorTheme:{name:s.name,params:g},sizeTheme:{name:c.name,params:l}}}var e3=t(3935),t3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.updateParams=function(A){var t;e.plugin.managers.animation.updateParams(((t={})[A.name]=A.value,t))},e.updateCurrentParams=function(A){var t;e.plugin.managers.animation.updateCurrentParams(((t={})[A.name]=A.value,t))},e.startOrStop=function(){var A=e.plugin.managers.animation;"playing"===A.state.animationState?A.stop():(e.props.onStart&&e.props.onStart(),A.start())},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.animation.events.updated,(function(){return A.forceUpdate()}))},e.prototype.render=function(){var A,e,t=this.plugin.managers.animation;if(t.isEmpty)return null;var r="playing"===t.state.animationState,n=null===(e=(A=t.current.anim).canApply)||void 0===e?void 0:e.call(A,this.plugin);return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(UX,{params:t.getParams(),values:t.state.params,onChange:this.updateParams,isDisabled:r},void 0),(0,Zz.jsx)(UX,{params:t.current.params,values:t.current.paramValues,onChange:this.updateCurrentParams,isDisabled:r},void 0),(0,Zz.jsx)("div",w({className:"msp-flex-row"},{children:(0,Zz.jsx)(qW,w({icon:"playing"!==t.state.animationState?void 0:QW,onClick:this.startOrStop,disabled:void 0!==n&&!1===n.canApply},{children:"playing"===t.state.animationState?"Stop":void 0===n||n.canApply?"Start":n.reason||"Start"}),void 0)}),void 0)]},void 0)},e}(eX),r3="overpaint-controls";function n3(A,e,t,r,n){return F(this,void 0,void 0,(function(){var i=this;return U(this,(function(o){switch(o.label){case 0:return[4,i3(A,e,(function(A,e,o){return F(i,void 0,void 0,(function(){var i,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:return n&&n.length>0&&!n.includes(e.params.values.type.name)?[2]:(i=e.obj.data.sourceData,[4,r(i.root)]);case 1:return a=c.sent(),VN.isEmpty(a)||JN(a)||(s={bundle:jB.fromLoci(a),color:-1===t?SA(0):t,clear:-1===t},o?(u=S(S([],o.params.values.layers,!0),[s],!1),g=o3(u,i),A.to(o).update(jN.toBundle(g))):(g=o3([s],i),A.to(e.transform.ref).apply(wM.Representation.OverpaintStructureRepresentation3DFromBundle,jN.toBundle(g),{tags:r3}))),[2]}}))}))}))];case 1:return o.sent(),[2]}}))}))}function i3(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:r=A.state.data,n=r.build(),i=0,o=e,B.label=1;case 1:if(!(i<o.length))return[3,6];a=o[i],s=0,u=a.representations,B.label=2;case 2:return s<u.length?(g=u[s],c=r.select(xd.Generators.ofTransformer(wM.Representation.OverpaintStructureRepresentation3DFromBundle,g.cell.transform.ref).withTag(r3)),[4,t(n,g.cell,c[0])]):[3,5];case 3:B.sent(),B.label=4;case 4:return s++,[3,2];case 5:return i++,[3,1];case 6:return[2,n.commit({doNotUpdateCurrent:!0})]}}))}))}function o3(A,e){var t=jN.ofBundle(A,e.root),r=jN.merge(t);return jN.filter(r,e)}var a3="clipping-controls";function s3(A,e,t,r,n){return F(this,void 0,void 0,(function(){var i=this;return U(this,(function(o){switch(o.label){case 0:return[4,u3(A,e,(function(A,e,o){return F(i,void 0,void 0,(function(){var i,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:return n&&n.length>0&&!n.includes(e.params.values.type.name)?[2]:(i=e.obj.data.sourceData,[4,r(i.root)]);case 1:return a=c.sent(),VN.isEmpty(a)||JN(a)||(s={bundle:jB.fromLoci(a),groups:t},o?(u=S(S([],o.params.values.layers,!0),[s],!1),g=g3(u,i),A.to(o).update(CR.toBundle(g))):(g=g3([s],i),A.to(e.transform.ref).apply(wM.Representation.ClippingStructureRepresentation3DFromBundle,CR.toBundle(g),{tags:a3}))),[2]}}))}))}))];case 1:return o.sent(),[2]}}))}))}function u3(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:r=A.state.data,n=r.build(),i=0,o=e,B.label=1;case 1:if(!(i<o.length))return[3,6];a=o[i],s=0,u=a.representations,B.label=2;case 2:return s<u.length?(g=u[s],c=r.select(xd.Generators.ofTransformer(wM.Representation.ClippingStructureRepresentation3DFromBundle,g.cell.transform.ref).withTag(a3)),[4,t(n,g.cell,c[0])]):[3,5];case 3:B.sent(),B.label=4;case 4:return s++,[3,2];case 5:return i++,[3,1];case 6:return[2,n.commit({doNotUpdateCurrent:!0})]}}))}))}function g3(A,e){var t=CR.ofBundle(A,e.root),r=CR.merge(t);return CR.filter(r,e)}var c3="transparency-controls";function B3(A,e,t,r,n){return F(this,void 0,void 0,(function(){var i=this;return U(this,(function(o){switch(o.label){case 0:return[4,l3(A,e,(function(A,e,o){return F(i,void 0,void 0,(function(){var i,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:return n&&n.length>0&&!n.includes(e.params.values.type.name)?[2]:(i=e.obj.data.sourceData,[4,r(i.root)]);case 1:return a=c.sent(),VN.isEmpty(a)||JN(a)||(s={bundle:jB.fromLoci(a),value:t},o?(u=S(S([],o.params.values.layers,!0),[s],!1),g=Q3(u,i),A.to(o).update(zN.toBundle(g))):(g=Q3([s],i),A.to(e.transform.ref).apply(wM.Representation.TransparencyStructureRepresentation3DFromBundle,zN.toBundle(g),{tags:c3}))),[2]}}))}))}))];case 1:return o.sent(),[2]}}))}))}function l3(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:r=A.state.data,n=r.build(),i=0,o=e,B.label=1;case 1:if(!(i<o.length))return[3,6];a=o[i],s=0,u=a.representations,B.label=2;case 2:return s<u.length?(g=u[s],c=r.select(xd.Generators.ofTransformer(wM.Representation.TransparencyStructureRepresentation3DFromBundle,g.cell.transform.ref).withTag(c3)),[4,t(n,g.cell,c[0])]):[3,5];case 3:B.sent(),B.label=4;case 4:return s++,[3,2];case 5:return i++,[3,1];case 6:return[2,n.commit({doNotUpdateCurrent:!0})]}}))}))}function Q3(A,e){var t=zN.ofBundle(A,e.root),r=zN.merge(t);return zN.filter(r,e)}var I3="substance-controls";function d3(A,e,t,r,n){return F(this,void 0,void 0,(function(){var i=this;return U(this,(function(o){switch(o.label){case 0:return[4,h3(A,e,(function(A,e,o){return F(i,void 0,void 0,(function(){var i,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:return n&&n.length>0&&!n.includes(e.params.values.type.name)?[2]:(i=e.obj.data.sourceData,[4,r(i.root)]);case 1:return a=c.sent(),VN.isEmpty(a)||JN(a)||(s={bundle:jB.fromLoci(a),material:null!=t?t:Oi(),clear:!t},o?(u=S(S([],o.params.values.layers,!0),[s],!1),g=E3(u,i),A.to(o).update(pR.toBundle(g))):(g=E3([s],i),A.to(e.transform.ref).apply(wM.Representation.SubstanceStructureRepresentation3DFromBundle,pR.toBundle(g),{tags:I3}))),[2]}}))}))}))];case 1:return o.sent(),[2]}}))}))}function h3(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:r=A.state.data,n=r.build(),i=0,o=e,B.label=1;case 1:if(!(i<o.length))return[3,6];a=o[i],s=0,u=a.representations,B.label=2;case 2:return s<u.length?(g=u[s],c=r.select(xd.Generators.ofTransformer(wM.Representation.SubstanceStructureRepresentation3DFromBundle,g.cell.transform.ref).withTag(I3)),[4,t(n,g.cell,c[0])]):[3,5];case 3:B.sent(),B.label=4;case 4:return s++,[3,2];case 5:return i++,[3,1];case 6:return[2,n.commit({doNotUpdateCurrent:!0})]}}))}))}function E3(A,e){var t=pR.ofBundle(A,e.root),r=pR.merge(t);return pR.filter(r,e)}var f3=function(A){function e(t){var r=A.call(this,{options:ir.getDefaultValues(e.OptionsParams)})||this;return r.plugin=t,r.events={optionsUpdated:r.ev()},r}return v(e,A),Object.defineProperty(e.prototype,"currentStructures",{get:function(){return this.plugin.managers.structure.hierarchy.selection.structures},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"pivotStructure",{get:function(){return this.currentStructures[0]},enumerable:!1,configurable:!0}),e.prototype.setOptions=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s,u=this;return U(this,(function(g){for(e=A.interactions!==this.state.options.interactions,this.updateState({options:A}),this.events.optionsUpdated.next(void 0),t=this.dataState.build(),r=0,n=this.currentStructures;r<n.length;r++)for(i=n[r],o=0,a=i.components;o<a.length;o++)s=a[o],this.updateReprParams(t,s);return[2,this.plugin.dataTransaction((function(){return F(u,void 0,void 0,(function(){return U(this,(function(r){switch(r.label){case 0:return[4,t.commit()];case 1:return r.sent(),[4,this.plugin.state.updateBehavior(BO,(function(e){e.ignoreHydrogens=!A.showHydrogens,e.material=A.materialStyle}))];case 2:return r.sent(),e?[4,this.updateInterationProps()]:[3,4];case 3:r.sent(),r.label=4;case 4:return[2]}}))}))}))]}))}))},e.prototype.updateReprParams=function(A,e){for(var t=this.state.options,r=t.showHydrogens,n=t.visualQuality,i=t.materialStyle,o=!r,a=0,s=e.representations;a<s.length;a++){var u=s[a];if(u.cell.transform.transformer===iM){var g=u.cell.transform.params;!!g.type.params.ignoreHydrogens===o&&g.type.params.quality===n&&g.type.params.material===i||A.to(u.cell).update((function(A){A.type.params.ignoreHydrogens=o,A.type.params.quality=n,A.type.params.material=i}))}}},e.prototype.updateInterationProps=function(){var A,e,t;return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g=this;return U(this,(function(c){switch(c.label){case 0:r=0,n=this.currentStructures,c.label=1;case 1:return r<n.length?(i=n[r],o=WY.getParams(null===(A=i.cell.obj)||void 0===A?void 0:A.data),i.properties?(a=null===(e=i.properties.cell.transform.params)||void 0===e?void 0:e.properties[WY.descriptor.name],ir.areEqual(o,a,this.state.options.interactions)?[3,5]:[4,this.dataState.build().to(i.properties.cell).update((function(A){A.properties[WY.descriptor.name]=g.state.options.interactions})).commit()]):[3,3]):[3,6];case 2:return c.sent(),[3,5];case 3:return s=this.plugin.customStructureProperties.getParams(null===(t=i.cell.obj)||void 0===t?void 0:t.data),u=ir.getDefaultValues(s),ir.areEqual(o,u.properties[WY.descriptor.name],this.state.options.interactions)?[3,5]:(u.properties[WY.descriptor.name]=this.state.options.interactions,[4,this.plugin.builders.structure.insertStructureProperties(i.cell,u)]);case 4:c.sent(),c.label=5;case 5:return r++,[3,1];case 6:return[2]}}))}))},e.prototype.applyPreset=function(A,e,t){var r=this;return this.plugin.dataTransaction((function(){return F(r,void 0,void 0,(function(){var r,n,i,o;return U(this,(function(a){switch(a.label){case 0:r=0,n=A,a.label=1;case 1:return r<n.length?(i=n[r],[4,this.plugin.builders.structure.representation.applyPreset(i.cell,e,t)]):[3,5];case 2:return o=a.sent(),[4,this.syncPreset(i,o)];case 3:a.sent(),a.label=4;case 4:return r++,[3,1];case 5:return[2]}}))}))}),{canUndo:"Preset"})},e.prototype.syncPreset=function(A,e){if(!e||!e.components)return this.clearComponents([A]);var t=new Set;if(CA(e.components,(function(A){A&&t.add(A.ref)})),e.representations&&CA(e.representations,(function(A){A&&t.add(A.ref)})),0===t.size)return this.clearComponents([A]);for(var r=!1,n=this.dataState.build(),i=function(A){t.has(A.cell.transform.ref)||(r=!0,n.delete(A.cell))},o=0,a=A.components;o<a.length;o++){var s=a[o];i(s);for(var u=0,g=s.representations;u<g.length;u++)i(g[u]);if(s.genericRepresentations)for(var c=0,B=s.genericRepresentations;c<B.length;c++)i(B[c])}if(A.genericRepresentations)for(var l=0,Q=A.genericRepresentations;l<Q.length;l++)i(Q[l]);return r?n.commit():void 0},e.prototype.clear=function(A){return this.clearComponents(A)},e.prototype.selectThis=function(A){var e,t=this.plugin.managers.structure.selection;t.clear();for(var r=0,n=A;r<n.length;r++){var i=n[r],o=BI.toSubStructureElementLoci(i.structure.cell.obj.data,null===(e=i.cell.obj)||void 0===e?void 0:e.data);t.fromLoci("set",o)}},e.prototype.canBeModified=function(A){return this.plugin.builders.structure.isComponentTransform(A.cell)},e.prototype.modifyByCurrentSelection=function(A,e){var t=this;return this.plugin.runTask(Pe.create("Modify Component",(function(r){return F(t,void 0,void 0,(function(){var t,n,i,o,a;return U(this,(function(s){switch(s.label){case 0:for(t=this.dataState.build(),n=0,i=A;n<i.length;n++)o=i[n],this.canBeModified(o)&&(a=this.plugin.managers.structure.selection.getStructure(o.structure.cell.obj.data))&&0!==a.elementCount&&this.modifyComponent(t,o,a,e);return[4,this.dataState.updateTree(t,{canUndo:"Modify Selection"}).runInContext(r)];case 1:return s.sent(),[2]}}))}))})))},e.prototype.toggleVisibility=function(A,e){if(0!==A.length)if(e)for(var t=A[0].representations.indexOf(e),r=(o=!e.cell.state.isHidden,0),n=A;r<n.length;r++){var i=(u=n[r]).representations[t];i&&hV(this.dataState,i.cell.transform.ref,o)}else for(var o=!A[0].cell.state.isHidden,a=0,s=A;a<s.length;a++){var u=s[a];hV(this.dataState,u.cell.transform.ref,o)}},e.prototype.removeRepresentations=function(A,e){if(0!==A.length){var t=[];if(e){var r=A[0].representations.indexOf(e);if(r<0)return;for(var n=0,i=A;n<i.length;n++)(s=i[n]).representations[r]&&t.push(s.representations[r])}else for(var o=0,a=A;o<a.length;o++)for(var s,u=0,g=(s=a[o]).representations;u<g.length;u++){var c=g[u];t.push(c)}return this.plugin.managers.structure.hierarchy.remove(t,!0)}},e.prototype.updateRepresentations=function(A,e,t){if(0===A.length)return Promise.resolve();var r=A[0].representations.indexOf(e);if(r<0)return Promise.resolve();for(var n=this.dataState.build(),i=0,o=A;i<o.length;i++){var a=o[i].representations[r];a&&a.cell.transform.transformer===e.cell.transform.transformer&&n.to(a.cell).update(t)}return n.commit({canUndo:"Update Representation"})},e.prototype.updateRepresentationsTheme=function(A,e){var t,r,n,i;if(0!==A.length){for(var o=this.dataState.build(),a=0,s=A;a<s.length;a++)for(var u=s[a],g=function(A){var a=A.cell.transform.params,s="function"==typeof e?e(u,A):e,g="default"===s.color?z_(c.plugin,null===(t=u.structure.cell.obj)||void 0===t?void 0:t.data,null==a?void 0:a.type.name):s.color?z_(c.plugin,null===(r=u.structure.cell.obj)||void 0===r?void 0:r.data,null==a?void 0:a.type.name,s.color,s.colorParams):void 0,B="default"===s.size?q_(c.plugin,null===(n=u.structure.cell.obj)||void 0===n?void 0:n.data,null==a?void 0:a.type.name):s.color?q_(c.plugin,null===(i=u.structure.cell.obj)||void 0===i?void 0:i.data,null==a?void 0:a.type.name,s.size,s.sizeParams):void 0;(g||B)&&o.to(A.cell).update((function(A){g&&(A.colorTheme=g),B&&(A.sizeTheme=B)}))},c=this,B=0,l=u.representations;B<l.length;B++)g(l[B]);return o.commit({canUndo:"Update Theme"})}},e.prototype.addRepresentation=function(A,e){var t=this;if(0!==A.length){var r=this.state.options,n={ignoreHydrogens:!r.showHydrogens,quality:r.visualQuality,material:r.materialStyle};return this.plugin.dataTransaction((function(){return F(t,void 0,void 0,(function(){var t,r,i;return U(this,(function(o){switch(o.label){case 0:t=0,r=A,o.label=1;case 1:return t<r.length?(i=r[t],[4,this.plugin.builders.structure.representation.addRepresentation(i.cell,{type:this.plugin.representation.structure.registry.get(e),typeParams:n})]):[3,4];case 2:o.sent(),o.label=3;case 3:return t++,[3,1];case 4:return[2]}}))}))}),{canUndo:"Add Representation"})}},e.prototype.tryFindComponent=function(A,e){var t=this;if(0!==A.components.length)return this.plugin.runTask(Pe.create("Find Component",(function(r){return F(t,void 0,void 0,(function(){var t,n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:return(t=null===(c=A.cell.obj)||void 0===c?void 0:c.data)?(o=(i=KB).unionStructure,[4,e.getSelection(this.plugin,r,t)]):[2];case 1:for(n=o.apply(i,[l.sent()]),a=0,s=A.components;a<s.length;a++)if(u=s[a],(g=null===(B=u.cell.obj)||void 0===B?void 0:B.data)&&u.cell.parent&&WB(n,g))return[2,u.cell];return[2]}}))}))})))},e.prototype.add=function(A,e){return F(this,void 0,void 0,(function(){var t=this;return U(this,(function(r){return[2,this.plugin.dataTransaction((function(){return F(t,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:if(0===(t=e||this.currentStructures).length)return[2];r=this.state.options,n=r.showHydrogens,i=r.visualQuality,o=r.materialStyle,a={ignoreHydrogens:!n,quality:i,material:o},s=N.create22(),u=0,g=t,l.label=1;case 1:return u<g.length?(c=g[u],B=void 0,A.options.checkExisting?[4,this.tryFindComponent(c,A.selection)]:[3,3]):[3,8];case 2:B=l.sent(),l.label=3;case 3:return B?[3,5]:[4,this.plugin.builders.structure.tryCreateComponentFromSelection(c.cell,A.selection,s,{label:A.options.label||(A.selection===bL.current?"Custom Selection":"")})];case 4:B=l.sent(),l.label=5;case 5:return"none"!==A.representation&&B?[4,this.plugin.builders.structure.representation.addRepresentation(B,{type:this.plugin.representation.structure.registry.get(A.representation),typeParams:a})]:[3,7];case 6:l.sent(),l.label=7;case 7:return u++,[3,1];case 8:return[2]}}))}))}),{canUndo:"Add Selection"})]}))}))},e.prototype.applyTheme=function(A,e){return F(this,void 0,void 0,(function(){var t=this;return U(this,(function(r){return[2,this.plugin.dataTransaction((function(r){return F(t,void 0,void 0,(function(){var t,n,i,o,a,s,u=this;return U(this,(function(g){switch(g.label){case 0:if(0===(t=e||this.currentStructures).length)return[2];n=function(e){return F(u,void 0,void 0,(function(){var t,n;return U(this,(function(i){switch(i.label){case 0:return n=(t=KB).toLociWithSourceUnits,[4,A.selection.getSelection(this.plugin,r,e)];case 1:return[2,n.apply(t,[i.sent()])]}}))}))},i=0,o=t,g.label=1;case 1:return i<o.length?(a=o[i],"color"!==A.action.name?[3,3]:(s=A.action.params,[4,n3(this.plugin,a.components,s.color,n,A.representations)])):[3,14];case 2:return g.sent(),[3,13];case 3:return"resetColor"!==A.action.name?[3,5]:[4,n3(this.plugin,a.components,-1,n,A.representations)];case 4:return g.sent(),[3,13];case 5:return"transparency"!==A.action.name?[3,7]:(s=A.action.params,[4,B3(this.plugin,a.components,s.value,n,A.representations)]);case 6:return g.sent(),[3,13];case 7:return"material"!==A.action.name?[3,9]:(s=A.action.params,[4,d3(this.plugin,a.components,s.material,n,A.representations)]);case 8:return g.sent(),[3,13];case 9:return"resetMaterial"!==A.action.name?[3,11]:[4,d3(this.plugin,a.components,void 0,n,A.representations)];case 10:return g.sent(),[3,13];case 11:return"clipping"!==A.action.name?[3,13]:(s=A.action.params,[4,s3(this.plugin,a.components,CR.Groups.fromNames(s.excludeGroups),n,A.representations)]);case 12:g.sent(),g.label=13;case 13:return i++,[3,1];case 14:return[2]}}))}))}),{canUndo:"Apply Theme"})]}))}))},e.prototype.modifyComponent=function(A,e,t,r){var n,i,o,a=null===(n=e.cell.obj)||void 0===n?void 0:n.data;if(a&&("subtract"!==r&&"intersect"!==r||XB(a,t))){var s=null===(i=e.structure.cell.obj)||void 0===i?void 0:i.data,u="union"===r?qB(s,[a,t]):"intersect"===r?$B(a,t):Al(a,t);if(0===u.elementCount)A.delete(e.cell.transform.ref);else{var g={type:{name:"bundle",params:jB.fromSubStructure(s,u)},nullIfEmpty:!0,label:null===(o=e.cell.obj)||void 0===o?void 0:o.label};A.to(e.cell).update(g)}}},e.prototype.updateLabel=function(A,e){var t,r,n={type:null===(t=A.cell.params)||void 0===t?void 0:t.values.type,nullIfEmpty:null===(r=A.cell.params)||void 0===r?void 0:r.values.nullIfEmpty,label:e};this.dataState.build().to(A.cell).update(n).commit()},Object.defineProperty(e.prototype,"dataState",{get:function(){return this.plugin.state.data},enumerable:!1,configurable:!0}),e.prototype.clearComponents=function(A){for(var e=this.dataState.build(),t=0,r=A;t<r.length;t++)for(var n=0,i=r[t].components;n<i.length;n++){var o=i[n];e.delete(o.cell.transform.ref)}return e.commit({canUndo:"Clear Selections"})},e}(X_);!function(A){function e(A,e){var t,r;return(null===(t=null==e?void 0:e.cell.obj)||void 0===t?void 0:t.data)?A.representation.structure.registry.getApplicableTypes(null===(r=e.cell.obj)||void 0===r?void 0:r.data):A.representation.structure.registry.types}function t(A,t,r,n){var i=S(S([],r,!0),e(A,t),!0);return ir.Select(i[0][0],i,{label:n})}A.OptionsParams={showHydrogens:ir.Boolean(!0,{description:"Toggle display of hydrogen atoms in representations"}),visualQuality:ir.Select("auto",Zi,{description:"Control the visual/rendering quality of representations"}),materialStyle:Oi.getParam(),interactions:ir.Group(WY.defaultParams,{label:"Non-covalent Interactions"})},A.getAddParams=function(A,e){var r=A.query.structure.registry.options;return e=w({pivot:A.managers.structure.component.pivotStructure,allowNone:!0,hideSelection:!1,checkExisting:!1},e),{selection:ir.Select(r[1][0],r,{isHidden:null==e?void 0:e.hideSelection}),representation:t(A,null==e?void 0:e.pivot,(null==e?void 0:e.allowNone)?[["none","< Create Later >"]]:[]),options:ir.Group({label:ir.Text(""),checkExisting:ir.Boolean(!!(null==e?void 0:e.checkExisting),{help:function(){return{description:"Checks if a selection with the specifield elements already exists to avoid creating duplicate components."}}})})}},A.getThemeParams=function(A,t){var r=A.query.structure.registry.options;return{selection:ir.Select(r[1][0],r,{isHidden:!1}),action:ir.MappedStatic("color",{color:ir.Group({color:ir.Color(Rr.blue,{isExpanded:!0})},{isFlat:!0}),resetColor:ir.EmptyGroup({label:"Reset Color"}),transparency:ir.Group({value:ir.Numeric(.5,{min:0,max:1,step:.01})},{isFlat:!0}),material:ir.Group({material:Oi.getParam({isFlat:!0})},{isFlat:!0}),resetMaterial:ir.EmptyGroup({label:"Reset Material"}),clipping:ir.Group({excludeGroups:ir.MultiSelect([],ir.objectToOptions(CR.Groups.Names))},{isFlat:!0})}),representations:ir.MultiSelect([],e(A,t),{emptyValue:"All"})}},A.getRepresentationTypes=e}(f3||(f3={}));var C3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e._getInfo=id((function(A){return a1.infoFromTransform(e.plugin,e.props.state,A)})),e.state={error:void 0,isInitial:!0,params:e.getInfo().initialValues,busy:!1,isCollapsed:e.props.initiallyCollapsed},e}return v(e,A),e.prototype.applyAction=function(){return this.props.customUpdate?this.props.customUpdate(this.state.params):this.plugin.state.updateTransform(this.props.state,this.props.transform.ref,this.state.params)},e.prototype.getInfo=function(){return this._getInfo(this.props.transform)},e.prototype.getTransformerId=function(){return this.props.transform.transformer.id},e.prototype.getHeader=function(){return this.props.customHeader||this.props.transform.transformer.definition.display},e.prototype.canApply=function(){var A=this.props.state,e=A.cells.get(this.props.transform.ref);if(!e)return!1;if("error"===e.status){var t=A.cells.get(this.props.transform.parent);return!!t&&"ok"===t.status}return!this.state.error&&!this.state.busy&&!this.state.isInitial},e.prototype.applyText=function(){return this.canApply()?"Update":"Nothing to Update"},e.prototype.isUpdate=function(){return!0},e.prototype.getSourceAndTarget=function(){var A=this.props.state.cells.get(this.props.transform.ref);return{a:this.props.state.cells.get(this.props.transform.parent).obj,b:null==A?void 0:A.obj,bCell:A}},e.prototype.canAutoApply=function(A){var e=this.props.transform.transformer.definition.canAutoUpdate;if(!e)return!1;var t=this.props.state,r=t.cells.get(this.props.transform.ref);return!(!r||!r.sourceRef||"ok"!==r.status)&&e({a:t.cells.get(r.sourceRef).obj,b:r.obj,oldParams:this.getInfo().initialValues,newParams:A},this.plugin)},e.prototype.componentDidMount=function(){var e=this;A.prototype.componentDidMount.call(this),this.props.toggleCollapsed&&this.subscribe(this.props.toggleCollapsed,(function(){return e.setState({isCollapsed:!e.state.isCollapsed})})),this.subscribe(this.plugin.state.events.object.updated,(function(A){var t=A.ref,r=A.state;e.props.transform.ref===t&&e.props.state===r&&e.state.params!==e.props.transform.params&&(e._getInfo=id((function(A){return a1.infoFromTransform(e.plugin,e.props.state,A)})),e.setState({params:e.props.transform.params,isInitial:!0}))}))},e.prototype.componentDidUpdate=function(A){var e;if(this.props.transform!==A.transform){var t=this.props.state.cells.get(this.props.transform.ref);this.setState({params:(null===(e=t.params)||void 0===e?void 0:e.values)||{},isInitial:!0,error:void 0,simpleOnly:this.state.simpleOnly})}},e}(u1),p3=(function(A){function e(){return null!==A&&A.apply(this,arguments)||this}v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.object.updated,(function(e){var t=e.ref,r=e.state;A.props.nodeRef===t&&A.plugin.state.data===r&&A.forceUpdate()}))},e.prototype.render=function(){var A=this.plugin.state.data,e=this.props.nodeRef,t=A.cells.get(e);if(!t||"ok"!==t.status&&"error"!==t.status)return null;var r=t.transform;return(0,Zz.jsx)(C3,{state:A,transform:r,initiallyCollapsed:this.props.initiallyCollapsed,customHeader:this.props.header},void 0)}}(eX),function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),Object.defineProperty(e.prototype,"current",{get:function(){return this.plugin.managers.structure.hierarchy.behaviors.selection},enumerable:!1,configurable:!0}),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.current,(function(){return A.forceUpdate()}))},Object.defineProperty(e.prototype,"unitcell",{get:function(){var A,e=this.plugin.managers.structure.hierarchy.selection;if(0===e.structures.length)return null;for(var t=[],r=0,n=e.structures;r<n.length;r++){var i=n[r].model;(null==i?void 0:i.unitcell)&&(null===(A=i.unitcell)||void 0===A?void 0:A.cell.obj)&&t.push(i.unitcell)}return 0===t.length?null:(0,Zz.jsx)(m3,{refs:t,labelMultiple:"Unit Cells"},void 0)},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"customControls",{get:function(){var A=this,e=[];return this.plugin.genericRepresentationControls.forEach((function(t,r){var n=t(A.plugin.managers.structure.hierarchy.selection),i=n[0],o=n[1];i.length>0&&e.push((0,Zz.jsx)("div",{children:(0,Zz.jsx)(m3,{refs:i,labelMultiple:o},void 0)},r))})),e.length>0?e:null},enumerable:!1,configurable:!0}),e.prototype.render=function(){return(0,Zz.jsx)(Zz.Fragment,{children:(0,Zz.jsxs)("div",w({style:{marginTop:"6px"}},{children:[this.unitcell,this.customControls]}),void 0)},void 0)},e}(tX)),m3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={showOptions:!1},e.toggleVisibility=function(A){A.preventDefault(),e.plugin.managers.structure.hierarchy.toggleVisibility(e.props.refs),A.currentTarget.blur()},e.highlight=function(A){A.preventDefault(),e.pivot.cell.parent&&sV.Interactivity.Object.Highlight(e.plugin,{state:e.pivot.cell.parent,ref:e.props.refs.map((function(A){return A.cell.transform.ref}))})},e.clearHighlight=function(A){A.preventDefault(),sV.Interactivity.ClearHighlights(e.plugin)},e.focus=function(A){var t;A.preventDefault();for(var r=!0,n=0,i=e.props.refs;n<i.length;n++)if(!(u=i[n]).cell.state.isHidden){r=!1;break}r&&e.plugin.managers.structure.hierarchy.toggleVisibility(e.props.refs,"show");for(var o=[],a=0,s=e.props.refs;a<s.length;a++){var u;if(!(u=s[a]).cell.state.isHidden){var g=null===(t=u.cell.obj)||void 0===t?void 0:t.data.repr.getLoci();g&&o.push(g)}}e.plugin.managers.camera.focusLoci(o)},e.toggleOptions=function(){return e.setState({showOptions:!e.state.showOptions})},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.cell.stateUpdated,(function(e){var t;YE.ObjectEvent.isCell(e,null===(t=A.pivot)||void 0===t?void 0:t.cell)&&A.forceUpdate()}))},Object.defineProperty(e.prototype,"pivot",{get:function(){return this.props.refs[0]},enumerable:!1,configurable:!0}),e.prototype.render=function(){var A=this.props,e=A.refs,t=A.labelMultiple;if(0===e.length)return null;var r,n,i=e[0];if(1===e.length){var o=i.cell.obj;if(!o)return null;r=null==o?void 0:o.label,n=null==o?void 0:o.description}else r="".concat(e.length," ").concat(t||"Objects");return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row"},{children:[(0,Zz.jsxs)("button",w({className:"msp-form-control msp-control-button-label",title:"".concat(r,". Click to focus."),onClick:this.focus,onMouseEnter:this.highlight,onMouseLeave:this.clearHighlight,style:{textAlign:"left"}},{children:[r," ",(0,Zz.jsx)("small",{children:n},void 0)]}),void 0),(0,Zz.jsx)(ZW,{svg:i.cell.state.isHidden?MW:xW,toggleState:!1,className:"msp-form-control",onClick:this.toggleVisibility,title:"".concat(i.cell.state.isHidden?"Show":"Hide"),small:!0,flex:!0},void 0),1===e.length&&(0,Zz.jsx)(ZW,{svg:oW,className:"msp-form-control",onClick:this.toggleOptions,title:"Options",toggleState:this.state.showOptions,flex:!0},void 0)]}),void 0),1===e.length&&this.state.showOptions&&i.cell.parent&&(0,Zz.jsx)(Zz.Fragment,{children:(0,Zz.jsx)("div",w({className:"msp-control-offset"},{children:(0,Zz.jsx)(C3,{state:i.cell.parent,transform:i.cell.transform,customHeader:"none",autoHideApply:!0},void 0)}),void 0)},void 0)]},void 0)},e}(tX),y3=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.defaultState=function(){return{header:"Components",isCollapsed:!1,isDisabled:!1,brand:{accent:"blue",svg:xq}}},e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.structure.hierarchy.behaviors.selection,(function(e){return A.setState({description:L1.getSelectedStructuresDescription(A.plugin)})}))},e.prototype.renderControls=function(){return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(v3,{},void 0),(0,Zz.jsx)(w3,{},void 0),(0,Zz.jsx)(p3,{},void 0)]},void 0)},e}(rX),v3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isEmpty:!0,isBusy:!1,canUndo:!1},e.togglePreset=e.toggleAction("preset"),e.toggleAdd=e.toggleAction("add"),e.toggleOptions=e.toggleAction("options"),e.hideAction=function(){return e.setState({action:void 0})},e.applyPreset=function(A){if(e.hideAction(),A){var t=e.plugin.managers.structure,r=t.hierarchy.selection.structures;null===A.value?t.component.clear(r):t.component.applyPreset(r,A.value)}},e.undo=function(){var A=e.plugin.state.data.undo();A&&e.plugin.runTask(A)},e}return v(e,A),Object.defineProperty(e.prototype,"isDisabled",{get:function(){return this.state.isBusy||this.state.isEmpty},enumerable:!1,configurable:!0}),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.structure.hierarchy.behaviors.selection,(function(e){return A.setState({action:"options"!==A.state.action||0===e.structures.length?void 0:"options",isEmpty:0===e.structures.length})})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){A.setState({isBusy:e,action:"options"!==A.state.action?void 0:"options"})})),this.subscribe(this.plugin.state.data.events.historyUpdated,(function(e){var t=e.state;A.setState({canUndo:t.canUndo})}))},e.prototype.toggleAction=function(A){var e=this;return function(){return e.setState({action:e.state.action===A?void 0:A})}},Object.defineProperty(e.prototype,"presetControls",{get:function(){return(0,Zz.jsx)(nX,{items:this.presetActions,onSelect:this.applyPreset},void 0)},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"presetActions",{get:function(){var A=this.plugin.managers.structure.component.pivotStructure,e=this.plugin.builders.structure.representation.getPresets(null==A?void 0:A.cell.obj);return nX.createItems(e,{label:function(A){return A.display.name},category:function(A){return A.display.group},description:function(A){return A.display.description}})},enumerable:!1,configurable:!0}),e.prototype.render=function(){var A=this.state.canUndo?"Undo ".concat(this.plugin.state.data.latestUndoLabel):"Some mistakes of the past can be undone.";return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row"},{children:[(0,Zz.jsx)(WW,{icon:sZ,label:"Preset",title:"Apply a representation preset for the current 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A.forceUpdate()}))},e.prototype.render=function(){return(0,Zz.jsx)(UX,{params:f3.OptionsParams,values:this.plugin.managers.structure.component.state.options,onChangeValues:this.update,isDisabled:this.props.isDisabled},void 0)},e}(tX),w3=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.structure.hierarchy.behaviors.selection,(function(){A.forceUpdate()}))},e.prototype.render=function(){var A=this.plugin.managers.structure.hierarchy.currentComponentGroups;return 0===A.length?null:(0,Zz.jsx)("div",w({style:{marginTop:"6px"}},{children:A.map((function(A){return(0,Zz.jsx)(F3,{group:A},A[0].cell.transform.ref)}))}),void 0)},e}(tX),F3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={action:void 0},e.toggleVisible=function(A){A.preventDefault(),A.currentTarget.blur(),e.plugin.managers.structure.component.toggleVisibility(e.props.group)},e.selectAction=function(A){A&&(e.setState({action:void 0}),(null==A?void 0:A.value)())},e.remove=function(){return e.plugin.managers.structure.hierarchy.remove(e.props.group,!0)},e.toggleAction=function(){return e.setState({action:"action"===e.state.action?void 0:"action"})},e.toggleLabel=function(){return e.setState({action:"label"===e.state.action?void 0:"label"})},e.highlight=function(A){A.preventDefault(),e.props.group[0].cell.parent&&sV.Interactivity.Object.Highlight(e.plugin,{state:e.props.group[0].cell.parent,ref:e.props.group.map((function(A){return A.cell.transform.ref}))})},e.clearHighlight=function(A){A.preventDefault(),sV.Interactivity.ClearHighlights(e.plugin)},e.focus=function(){for(var A=!0,t=0,r=e.props.group;t<r.length;t++)if(!r[t].cell.state.isHidden){A=!1;break}A&&e.plugin.managers.structure.hierarchy.toggleVisibility(e.props.group,"show"),e.plugin.managers.camera.focusSpheres(e.props.group,(function(A){var e;if(!A.cell.state.isHidden)return null===(e=A.cell.obj)||void 0===e?void 0:e.data.boundary.sphere}))},e.updateLabel=function(A){e.plugin.managers.structure.component.updateLabel(e.pivot,A)},e}return v(e,A),Object.defineProperty(e.prototype,"pivot",{get:function(){return this.props.group[0]},enumerable:!1,configurable:!0}),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.cell.stateUpdated,(function(e){YE.ObjectEvent.isCell(e,A.pivot.cell)&&A.forceUpdate()}))},Object.defineProperty(e.prototype,"colorByActions",{get:function(){var A,e,t,r,n,i=this,o=this.plugin.managers.structure.component,a=null===(A=this.pivot.representations[0].cell.transform.params)||void 0===A?void 0:A.colorTheme.name,s=(t=this.plugin,r=null===(e=this.pivot.cell.obj)||void 0===e?void 0:e.data,n=t.representation.structure.themes,r?n.colorThemeRegistry.getApplicableTypes({structure:r}):n.colorThemeRegistry.types);return nX.createItemsFromSelectOptions(s,{value:function(A){return function(){return o.updateRepresentationsTheme(i.props.group,{color:A[0]})}},selected:function(A){return A[0]===a}})},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"actions",{get:function(){var A=this,e=this.plugin.managers.structure.component,t=[S([nX.Header("Add Representation")],f3.getRepresentationTypes(this.plugin,this.props.group[0]).map((function(t){return nX.Item(t[1],(function(){return e.addRepresentation(A.props.group,t[0])}))})),!0)];return this.pivot.representations.length>0&&t.push(S([nX.Header("Set Coloring",{isIndependent:!0})],this.colorByActions,!0)),e.canBeModified(this.props.group[0])&&t.push([nX.Header("Modify by Selection"),nX.Item("Include",(function(){return e.modifyByCurrentSelection(A.props.group,"union")}),{icon:wq}),nX.Item("Subtract",(function(){return e.modifyByCurrentSelection(A.props.group,"subtract")}),{icon:Uq}),nX.Item("Intersect",(function(){return e.modifyByCurrentSelection(A.props.group,"intersect")}),{icon:Nq})]),t.push(nX.Item("Select This",(function(){return e.selectThis(A.props.group)}),{icon:Hq})),e.canBeModified(this.props.group[0])&&t.push(nX.Item("Edit Label",this.toggleLabel)),t},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"reprLabel",{get:function(){var A,e=this.pivot;return 0===e.representations.length?"No repr.":1===e.representations.length?null===(A=e.representations[0].cell.obj)||void 0===A?void 0:A.label:"".concat(e.representations.length," reprs")},enumerable:!1,configurable:!0}),e.prototype.render=function(){var A,e=this,t=this.pivot,r=t.cell,n=null===(A=r.obj)||void 0===A?void 0:A.label,i=this.reprLabel;return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row"},{children:[(0,Zz.jsxs)(qW,w({noOverflow:!0,className:"msp-control-button-label",title:"".concat(n,". 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0)},e}(tX),U3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.remove=function(){return e.plugin.managers.structure.component.removeRepresentations(e.props.group,e.props.representation)},e.toggleVisible=function(A){A.preventDefault(),A.currentTarget.blur(),e.plugin.managers.structure.component.toggleVisibility(e.props.group,e.props.representation)},e.update=function(A){return e.plugin.managers.structure.component.updateRepresentations(e.props.group,e.props.representation,A)},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.cell.stateUpdated,(function(e){YE.ObjectEvent.isCell(e,A.props.representation.cell)&&A.forceUpdate()}))},e.prototype.render=function(){var A,e=this.props.representation.cell;return(0,Zz.jsxs)("div",w({className:"msp-representation-entry"},{children:[e.parent&&(0,Zz.jsx)(XW,w({header:"".concat((null===(A=e.obj)||void 0===A?void 0:A.label)||""," 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t=A.call(this,{labels:[],distances:[],angles:[],dihedrals:[],orientations:[],planes:[],options:H3})||this;return t.plugin=e,t.behaviors={state:t.ev.behavior(t.state)},t._empty=[],e.state.data.events.changed.subscribe((function(A){A.inTransaction||e.behaviors.state.isAnimating.value||t.sync()})),e.behaviors.state.isAnimating.subscribe((function(A){A||e.behaviors.state.isUpdating.value||t.sync()})),t}return v(e,A),e.prototype.stateUpdated=function(){this.behaviors.state.next(this.state)},e.prototype.getGroup=function(){var A=this.plugin.state.data,e=xd.findTagInSubtree(A.tree,Gd.RootRef,S3),t=this.plugin.state.data.build();return e?t.to(e):t.toRoot().group(wM.Misc.CreateGroup,{label:"Measurements"},{tags:S3})},e.prototype.setOptions=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:for(this.updateState({options:A})&&this.stateUpdated(),e=this.plugin.state.data.build(),t=0,r=this.state.distances;t<r.length;t++)g=r[t],e.to(g).update((function(e){e.unitLabel=A.distanceUnitLabel,e.textColor=A.textColor}));for(n=0,i=this.state.labels;n<i.length;n++)g=i[n],e.to(g).update((function(e){e.textColor=A.textColor}));for(o=0,a=this.state.angles;o<a.length;o++)g=a[o],e.to(g).update((function(e){e.textColor=A.textColor}));for(s=0,u=this.state.dihedrals;s<u.length;s++)g=u[s],e.to(g).update((function(e){e.textColor=A.textColor}));return 0===e.editInfo.count?[2]:[4,sV.State.Update(this.plugin,{state:this.plugin.state.data,tree:e,options:{doNotLogTiming:!0}})];case 1:return c.sent(),[2]}}))}))},e.prototype.addDistance=function(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a;return U(this,(function(s){switch(s.label){case 0:return r=this.plugin.helpers.substructureParent.get(A.structure),n=this.plugin.helpers.substructureParent.get(e.structure),r&&n?(Cr(i=[r.transform.ref],n.transform.ref),(o=this.getGroup()).apply(wM.Model.MultiStructureSelectionFromExpression,{selections:[{key:"a",groupId:"a",ref:r.transform.ref,expression:dI.toExpression(A)},{key:"b",groupId:"b",ref:n.transform.ref,expression:dI.toExpression(e)}],isTransitive:!0,label:"Distance"},{dependsOn:i,tags:null==t?void 0:t.selectionTags}).apply(wM.Representation.StructureSelectionsDistance3D,w(w(w({customText:(null==t?void 0:t.customText)||"",unitLabel:this.state.options.distanceUnitLabel,textColor:this.state.options.textColor},null==t?void 0:t.lineParams),null==t?void 0:t.labelParams),null==t?void 0:t.visualParams),{tags:null==t?void 0:t.reprTags}),a=this.plugin.state.data,[4,sV.State.Update(this.plugin,{state:a,tree:o,options:{doNotLogTiming:!0}})]):[2];case 1:return s.sent(),[2]}}))}))},e.prototype.addAngle=function(A,e,t,r){return F(this,void 0,void 0,(function(){var n,i,o,a,s,u;return U(this,(function(g){switch(g.label){case 0:return n=this.plugin.helpers.substructureParent.get(A.structure),i=this.plugin.helpers.substructureParent.get(e.structure),o=this.plugin.helpers.substructureParent.get(t.structure),n&&i&&o?(Cr(a=[n.transform.ref],i.transform.ref),Cr(a,o.transform.ref),(s=this.getGroup()).apply(wM.Model.MultiStructureSelectionFromExpression,{selections:[{key:"a",ref:n.transform.ref,expression:dI.toExpression(A)},{key:"b",ref:i.transform.ref,expression:dI.toExpression(e)},{key:"c",ref:o.transform.ref,expression:dI.toExpression(t)}],isTransitive:!0,label:"Angle"},{dependsOn:a,tags:null==r?void 0:r.selectionTags}).apply(wM.Representation.StructureSelectionsAngle3D,w(w(w({customText:(null==r?void 0:r.customText)||"",textColor:this.state.options.textColor},null==r?void 0:r.lineParams),null==r?void 0:r.labelParams),null==r?void 0:r.visualParams),{tags:null==r?void 0:r.reprTags}),u=this.plugin.state.data,[4,sV.State.Update(this.plugin,{state:u,tree:s,options:{doNotLogTiming:!0}})]):[2];case 1:return g.sent(),[2]}}))}))},e.prototype.addDihedral=function(A,e,t,r,n){return F(this,void 0,void 0,(function(){var i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:return i=this.plugin.helpers.substructureParent.get(A.structure),o=this.plugin.helpers.substructureParent.get(e.structure),a=this.plugin.helpers.substructureParent.get(t.structure),s=this.plugin.helpers.substructureParent.get(r.structure),i&&o&&a&&s?(Cr(u=[i.transform.ref],o.transform.ref),Cr(u,a.transform.ref),Cr(u,s.transform.ref),(g=this.getGroup()).apply(wM.Model.MultiStructureSelectionFromExpression,{selections:[{key:"a",ref:i.transform.ref,expression:dI.toExpression(A)},{key:"b",ref:o.transform.ref,expression:dI.toExpression(e)},{key:"c",ref:a.transform.ref,expression:dI.toExpression(t)},{key:"d",ref:s.transform.ref,expression:dI.toExpression(r)}],isTransitive:!0,label:"Dihedral"},{dependsOn:u,tags:null==n?void 0:n.selectionTags}).apply(wM.Representation.StructureSelectionsDihedral3D,w(w(w({customText:(null==n?void 0:n.customText)||"",textColor:this.state.options.textColor},null==n?void 0:n.lineParams),null==n?void 0:n.labelParams),null==n?void 0:n.visualParams),{tags:null==n?void 0:n.reprTags}),c=this.plugin.state.data,[4,sV.State.Update(this.plugin,{state:c,tree:g,options:{doNotLogTiming:!0}})]):[2];case 1:return B.sent(),[2]}}))}))},e.prototype.addLabel=function(A,e){return F(this,void 0,void 0,(function(){var t,r,n,i;return U(this,(function(o){switch(o.label){case 0:return(t=this.plugin.helpers.substructureParent.get(A.structure))?(r=[t.transform.ref],(n=this.getGroup()).apply(wM.Model.MultiStructureSelectionFromExpression,{selections:[{key:"a",ref:t.transform.ref,expression:dI.toExpression(A)}],isTransitive:!0,label:"Label"},{dependsOn:r,tags:null==e?void 0:e.selectionTags}).apply(wM.Representation.StructureSelectionsLabel3D,w(w({textColor:this.state.options.textColor},null==e?void 0:e.labelParams),null==e?void 0:e.visualParams),{tags:null==e?void 0:e.reprTags}),i=this.plugin.state.data,[4,sV.State.Update(this.plugin,{state:i,tree:n,options:{doNotLogTiming:!0}})]):[2];case 1:return o.sent(),[2]}}))}))},e.prototype.addOrientation=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s;return U(this,(function(u){switch(u.label){case 0:for(e=[],t=[],r=0,n=A.length;r<n;++r)i=A[r],(o=this.plugin.helpers.substructureParent.get(i.structure))&&(Cr(t,o.transform.ref),e.push({key:"l".concat(r),ref:o.transform.ref,expression:dI.toExpression(i)}));return 0===e.length?[2]:((a=this.getGroup()).apply(wM.Model.MultiStructureSelectionFromExpression,{selections:e,isTransitive:!0,label:"Orientation"},{dependsOn:t}).apply(wM.Representation.StructureSelectionsOrientation3D),s=this.plugin.state.data,[4,sV.State.Update(this.plugin,{state:s,tree:a,options:{doNotLogTiming:!0}})]);case 1:return u.sent(),[2]}}))}))},e.prototype.addPlane=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s;return U(this,(function(u){switch(u.label){case 0:for(e=[],t=[],r=0,n=A.length;r<n;++r)i=A[r],(o=this.plugin.helpers.substructureParent.get(i.structure))&&(Cr(t,o.transform.ref),e.push({key:"l".concat(r),ref:o.transform.ref,expression:dI.toExpression(i)}));return 0===e.length?[2]:((a=this.getGroup()).apply(wM.Model.MultiStructureSelectionFromExpression,{selections:e,isTransitive:!0,label:"Plane"},{dependsOn:t}).apply(wM.Representation.StructureSelectionsPlane3D),s=this.plugin.state.data,[4,sV.State.Update(this.plugin,{state:s,tree:a,options:{doNotLogTiming:!0}})]);case 1:return u.sent(),[2]}}))}))},e.prototype.addOrderLabels=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:for(e=this.getGroup(),t=this.plugin.state.data.select(xd.Generators.ofType(qf.Molecule.Structure.Selections).withTag(N3)),r=0,n=t;r<n.length;r++)i=n[r],e.delete(i);for(o=1,a=0,s=A;a<s.length;a++)u=s[a],(g=this.plugin.helpers.substructureParent.get(u.structure))&&(c=[g.transform.ref],e.apply(wM.Model.MultiStructureSelectionFromExpression,{selections:[{key:"a",ref:g.transform.ref,expression:dI.toExpression(u)}],isTransitive:!0,label:"Order"},{dependsOn:c,tags:N3}).apply(wM.Representation.StructureSelectionsLabel3D,{textColor:SA.fromRgb(255,255,255),borderColor:SA.fromRgb(0,0,0),textSize:.33,borderWidth:.3,offsetZ:.75,customText:"".concat(o++)},{tags:N3}));return B=this.plugin.state.data,[4,sV.State.Update(this.plugin,{state:B,tree:e,options:{doNotLogTiming:!0}})];case 1:return l.sent(),[2]}}))}))},e.prototype.getTransforms=function(A){var e=this.plugin.state.data,t=xd.findTagInSubtree(e.tree,Gd.RootRef,S3),r=t?e.select(xd.Generators.ofTransformer(A,t)):this._empty;return 0===r.length?this._empty:r},e.prototype.sync=function(){for(var A=[],e=0,t=this.getTransforms(wM.Representation.StructureSelectionsLabel3D);e<t.length;e++){var r=t[e],n=r.obj.tags;n&&n.includes(N3)||A.push(r)}this.updateState({labels:A,distances:this.getTransforms(wM.Representation.StructureSelectionsDistance3D),angles:this.getTransforms(wM.Representation.StructureSelectionsAngle3D),dihedrals:this.getTransforms(wM.Representation.StructureSelectionsDihedral3D),orientations:this.getTransforms(wM.Representation.StructureSelectionsOrientation3D),planes:this.getTransforms(wM.Representation.StructureSelectionsPlane3D)})&&this.stateUpdated()},e}(X_),M3=function(A){function e(t,r){void 0===r&&(r={});var n=A.call(this,{props:w(w({},ir.getDefaultValues(e.Params)),r)})||this;return n.plugin=t,n._props=ir.getDefaultValues(e.Params),n.events={propsUpdated:n.ev()},n.lociSelects=new e.LociSelectManager(t,n._props),n.lociHighlights=new e.LociHighlightManager(t,n._props),n}return v(e,A),Object.defineProperty(e.prototype,"props",{get:function(){return w({},this.state.props)},enumerable:!1,configurable:!0}),e.prototype.setProps=function(A){var e=this.props,t=w(w({},this.state.props),A);hA(e,t)||(this.updateState({props:t}),this.lociSelects.setProps(t),this.lociHighlights.setProps(t),this.events.propsUpdated.next(void 0))},e}(X_);function L3(A,e){if("atom-id"===e){var t=function(A){return A.split(",").map((function(A){return A.trim().split(/\s+|[-]/g).filter((function(A){return!!A}))})).filter((function(A){return 1===A.length||2===A.length})).map((function(A){return 1===A.length?[+A[0],+A[0]]:[+A[0],+A[1]]}))}(A);return function(A){for(var e=zg.create(),t=0,r=A;t<r.length;t++)for(var n=r[t],i=n[0],o=n[1],a=i;a<=o;a++)zg.add(e,a,a);return Ef(Oc.struct.generator.atomGroups({"atom-test":Oc.core.set.has([Oc.set.apply(Oc,e.array),Oc.ammp("id")])}))}(t)}return function(A,e){for(var t,r=[],n="auth"===e?"auth_asym_id":"label_asym_id",i="auth"===e?"auth_seq_id":"label_seq_id",o=0,a=A;o<a.length;o++){var s=a[o];if("range"===s.kind)r.push(Oc.struct.generator.atomGroups({"chain-test":Oc.core.rel.eq([Oc.ammp(n),s.asym_id]),"residue-test":Oc.core.rel.inRange([Oc.ammp(i),s.seq_id_beg,s.seq_id_end])}));else{var u=(null!==(t=s.ins_code)&&void 0!==t?t:"").trim();r.push(Oc.struct.generator.atomGroups({"chain-test":Oc.core.rel.eq([Oc.ammp(n),s.asym_id]),"residue-test":Oc.core.logic.and([Oc.core.rel.eq([Oc.ammp(i),s.seq_id]),Oc.core.rel.eq([Oc.ammp("pdbx_PDB_ins_code"),u])])}))}}return Ef(Oc.struct.combinator.merge(r))}(t=function(A){return A.split(",").map((function(A){return A.trim().split(/\s+|[-]/g).filter((function(A){return!!A}))})).map((function(A){return function(A,e,t){if(A&&0!==e.length&&!Number.isNaN(+e[0]))return Number.isNaN(t)?{kind:"single",asym_id:A,seq_id:+e[0],ins_code:e[1]}:{kind:"range",asym_id:A,seq_id_beg:+e[0],seq_id_end:t}}(A[0],function(A){return A?A.split(":"):[]}(A[1]),+A[2])})).filter((function(A){return!!A}))}(A),e)}!function(A){A.Params={granularity:ir.Select("residue",VN.GranularityOptions,{label:"Picking Level",description:"Controls if selections are expanded upon picking to whole residues, chains, structures, instances, or left as atoms and coarse elements"})};var e=function(){function e(e,t){void 0===t&&(t={}),this.ctx=e,this.providers=[],this.props=ir.getDefaultValues(A.Params),this.sel=e.managers.structure.selection,this.setProps(t)}return e.prototype.setProps=function(A){Object.assign(this.props,A)},e.prototype.addProvider=function(A){this.providers.push(A)},e.prototype.removeProvider=function(A){this.providers=this.providers.filter((function(e){return e!==A}))},e.prototype.normalizedLoci=function(A,e,t){void 0===t&&(t=!1);var r=A.loci,n=A.repr,i=e?this.props.granularity:void 0;return{loci:VN.normalize(r,i,t),repr:n}},e.prototype.mark=function(A,e,t){if(void 0===t&&(t=!1),!VN.isEmpty(A.loci))for(var r=0,n=this.providers;r<n.length;r++)(0,n[r])(A,e,t)},e}();A.LociMarkManager=e;var t=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.prev=[],e.clearHighlights=function(A){void 0===A&&(A=!1);for(var t=0,r=e.prev;t<r.length;t++){var n=r[t];e.mark(n,NN.RemoveHighlight,A)}e.prev.length=0},e}return v(e,A),e.prototype.isHighlighted=function(A){for(var e=0,t=this.prev;e<t.length;e++){var r=t[e];if(vR.Loci.areEqual(r,A))return!0}return!1},e.prototype.addHighlight=function(A){this.mark(A,NN.Highlight),this.prev.push(A)},e.prototype.highlight=function(A,e){void 0===e&&(e=!0);var t=this.normalizedLoci(A,e);this.isHighlighted(t)||this.addHighlight(t)},e.prototype.highlightOnly=function(A,e){void 0===e&&(e=!0);var t=this.normalizedLoci(A,e);this.isHighlighted(t)||(VN.isEmpty(t.loci)?this.clearHighlights():(this.clearHighlights(!0),this.addHighlight(t)))},e.prototype.highlightOnlyExtend=function(A,e){void 0===e&&(e=!0);var t=this.normalizedLoci(A,e);if(dI.is(t.loci)){var r={loci:this.sel.tryGetRange(t.loci)||t.loci,repr:t.repr};this.isHighlighted(r)||(VN.isEmpty(r.loci)?this.clearHighlights():(this.clearHighlights(!0),this.addHighlight(r)))}},e}(e);A.LociHighlightManager=t;var r=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.toggle=function(e,t){if(void 0===t&&(t=!0),!VN.isEmpty(e.loci)){var r=this.normalizedLoci(e,t,!0);dI.is(r.loci)?this.toggleSel(r):A.prototype.mark.call(this,r,NN.Toggle)}},e.prototype.toggleExtend=function(A,e){if(void 0===e&&(e=!0),!VN.isEmpty(A.loci)){var t=this.normalizedLoci(A,e,!0);if(dI.is(t.loci)){var r=this.sel.tryGetRange(t.loci)||t.loci;this.toggleSel({loci:r,repr:t.repr})}}},e.prototype.select=function(A,e){void 0===e&&(e=!0);var t=this.normalizedLoci(A,e,!0);dI.is(t.loci)&&this.sel.modify("add",t.loci),this.mark(t,NN.Select)},e.prototype.selectJoin=function(A,e){void 0===e&&(e=!0);var t=this.normalizedLoci(A,e,!0);dI.is(t.loci)&&this.sel.modify("intersect",t.loci),this.mark(t,NN.Select)},e.prototype.selectOnly=function(A,e){void 0===e&&(e=!0);var t=this.normalizedLoci(A,e,!0);dI.is(t.loci)&&(this.deselect({loci:BI.toStructureElementLoci(t.loci.structure),repr:t.repr},!1),this.sel.modify("set",t.loci)),this.mark(t,NN.Select)},e.prototype.deselect=function(A,e){void 0===e&&(e=!0);var t=this.normalizedLoci(A,e,!0);dI.is(t.loci)&&this.sel.modify("remove",t.loci),this.mark(t,NN.Deselect)},e.prototype.deselectAll=function(){this.sel.clear(),this.mark({loci:YN},NN.Deselect)},e.prototype.deselectAllOnEmpty=function(A){JN(A.loci)&&this.deselectAll()},e.prototype.mark=function(e,t){var r=e.loci;if(!VN.isEmpty(r))if(dI.is(r)){var n=this.sel.getLoci(r.structure);A.prototype.mark.call(this,{loci:BI.Loci(r.structure)},NN.Deselect,!VN.isEmpty(n)),A.prototype.mark.call(this,{loci:n},NN.Select)}else A.prototype.mark.call(this,e,t)},e.prototype.toggleSel=function(A){this.sel.has(A.loci)?(this.sel.modify("remove",A.loci),this.mark(A,NN.Deselect)):(this.sel.modify("add",A.loci),this.mark(A,NN.Select))},e}(e);A.LociSelectManager=r}(M3||(M3={}));var x3=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.getBindingComponents=function(){var A,e=(A=this.props.bindings,Object.keys(A).map((function(e){return[e,A[e]]})));return(0,Zz.jsx)(Zz.Fragment,{children:e.map((function(A){var e=A[0],t=A[1];return ZV.isEmpty(t)?null:(0,Zz.jsxs)("div",w({style:{marginBottom:"6px"}},{children:[(0,Zz.jsx)("b",{children:t.action},void 0),(0,Zz.jsx)("br",{},void 0),(0,Zz.jsx)("span",{dangerouslySetInnerHTML:{__html:ZV.format(t,e)}},void 0)]}),e)}))},void 0)},e.prototype.render=function(){return(0,Zz.jsx)(k3,{children:this.getBindingComponents()},void 0)},e}(mq.PureComponent),k3=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.render=function(){return(0,Zz.jsx)("div",w({className:"msp-help-text"},{children:(0,Zz.jsx)("div",{children:this.props.children},void 0)}),void 0)},e}(mq.PureComponent),Y3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={header:e.props.header,isExpanded:!!e.props.initiallyExpanded},e.toggleExpanded=function(){return e.setState({isExpanded:!e.state.isExpanded})},e}return v(e,A),e.prototype.render=function(){return(0,Zz.jsxs)("div",w({className:"msp-control-group-wrapper"},{children:[(0,Zz.jsx)("div",w({className:"msp-control-group-header"},{children:(0,Zz.jsxs)(qW,w({onClick:this.toggleExpanded},{children:[(0,Zz.jsx)(yq,{svg:this.state.isExpanded?Xq:AZ},void 0),this.props.header]}),void 0)}),void 0),this.state.isExpanded&&(0,Zz.jsx)("div",w({className:"msp-control-offset",style:{display:this.state.isExpanded?"block":"none"}},{children:this.props.children}),void 0)]}),void 0)},e}(mq.PureComponent);function _3(A){return(0,Zz.jsx)("div",w({className:"msp-simple-help-section"},{children:A.header}),void 0)}var V3=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.events.canvas3d.settingsUpdated,(function(){return A.forceUpdate()}))},e.prototype.render=function(){var A={};return this.plugin.spec.behaviors.forEach((function(e){var t=e.defaultParams.bindings;t&&Object.assign(A,t)})),(0,Zz.jsxs)(Zz.Fragment,{children:[!this.props.selectOnly&&this.plugin.canvas3d&&(0,Zz.jsx)(Y3,w({header:"Moving in 3D"},{children:(0,Zz.jsx)(x3,{bindings:this.plugin.canvas3d.props.trackball.bindings},void 0)}),"trackball"),(0,Zz.jsx)(Y3,w({header:"Mouse Controls"},{children:(0,Zz.jsx)(x3,{bindings:A},void 0)}),"interactions")]},void 0)},e}(eX),T3=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.events.canvas3d.settingsUpdated,(function(){return A.forceUpdate()}))},e.prototype.formatTriggers=function(A){return A.triggers.map((function(A){return ZV.Trigger.format(A)})).join(" or ")},e.prototype.getTriggerFor=function(A,e){var t=this.plugin.state.behaviors.select(xd.Generators.ofTransformer(A)),r=1===t.length?t[0].params:void 0,n=r?r.values.bindings:{},i=e in n?n[e]:ZV.Empty;return this.formatTriggers(i)},e.prototype.render=function(){var A=this.getTriggerFor(qP,"clickSelectToggle"),e=this.getTriggerFor($P,"clickFocus");return(0,Zz.jsxs)("div",{children:[(0,Zz.jsx)(_3,{header:"Interface Controls"},void 0),(0,Zz.jsxs)(Y3,w({header:"Inline Help"},{children:[(0,Zz.jsx)(k3,{children:"Many user interface elements show a little questionmark icon when hovered over. Clicking the icon toggles the display of an inline help text."},void 0),(0,Zz.jsx)(k3,{children:"Tooltips may provide additional information on a user interface element and are shown when hovering over it with the mouse."},void 0)]}),void 0),(0,Zz.jsx)(Y3,w({header:"Selections"},{children:(0,Zz.jsxs)(k3,{children:["The viewer allows changing colors and representations for selections of atoms, residues or chains. Selections can be created by",(0,Zz.jsxs)("ul",w({style:{paddingLeft:"20px"}},{children:[(0,Zz.jsxs)("li",{children:["picking elements on the 3D canvas or the sequence view using the mouse, e.g. toggle selection using ",A," (for more see help section on ",(0,Zz.jsx)("i",{children:"Mouse Controls"},void 0),")"]},void 0),(0,Zz.jsxs)("li",{children:["using the ",(0,Zz.jsx)("i",{children:"Add"},void 0),", ",(0,Zz.jsx)("i",{children:"Remove"},void 0)," and ",(0,Zz.jsx)("i",{children:"Only"},void 0)," dropdown buttons in the ",(0,Zz.jsx)("i",{children:"Manage Selection"},void 0)," panel which allow modifing the current selection by predefined sets"]},void 0)]}),void 0)]},void 0)}),void 0),(0,Zz.jsx)(Y3,w({header:"Coloring"},{children:(0,Zz.jsxs)(k3,{children:["There are two ways to color structures. Every representation (e.g. cartoon or spacefill) has a color theme which can be changed using the dropdown for each representation in the ",(0,Zz.jsx)("i",{children:"Structure Settings"},void 0)," panel. Additionally any selection atoms, residues or chains can by given a custom color. For that, first select the parts of the structure to be colored (see help section on ",(0,Zz.jsx)("i",{children:"Selections"},void 0),") and, second, choose a color from the color dropdown botton in the ",(0,Zz.jsx)("i",{children:"Selection"},void 0)," row of the ",(0,Zz.jsx)("i",{children:"Change Representation"},void 0)," panel. The theme color can be seen as a base color that is overpainted by the custom color. Custom colors can be removed for a selection with the 'Clear' option in the color dropdown."]},void 0)}),void 0),(0,Zz.jsx)(Y3,w({header:"Representations"},{children:(0,Zz.jsxs)(k3,{children:["Structures can be shown with many different representations (e.g. cartoon or spacefill). The ",(0,Zz.jsx)("i",{children:"Change Representation"},void 0)," panel offers a collection of predefined styles which can be applied using the ",(0,Zz.jsx)("i",{children:"Preset"},void 0)," dropdown button. Additionally any selection atoms, residues or chains can by shown with a custom representation. For that, first select the parts of the structure to be mofified (see help section on ",(0,Zz.jsx)("i",{children:"Selections"},void 0),") and, second, choose a representation to hide or show from the ",(0,Zz.jsx)("i",{children:"Show"},void 0)," and ",(0,Zz.jsx)("i",{children:"Hide"},void 0)," dropdown bottons in the ",(0,Zz.jsx)("i",{children:"Selection"},void 0)," row of the ",(0,Zz.jsx)("i",{children:"Change Representation"},void 0)," panel. The ",(0,Zz.jsx)("i",{children:"Everything"},void 0)," row applies the action to the whole structure instead of the current selection."]},void 0)}),void 0),(0,Zz.jsx)(Y3,w({header:"Surroundings"},{children:(0,Zz.jsxs)(k3,{children:["To show the surroundings of a residue or ligand, click it in the 3D scene or in the sequence widget using ",e,"."]},void 0)}),void 0),(0,Zz.jsx)(_3,{header:"How-to Guides"},void 0),(0,Zz.jsx)(Y3,w({header:"Create an Image"},{children:(0,Zz.jsxs)(k3,{children:[(0,Zz.jsxs)("p",{children:["Use the ",(0,Zz.jsx)(yq,{svg:EZ},void 0)," icon in the viewport to bring up the screenshot controls."]},void 0),(0,Zz.jsxs)("p",{children:["To adjust the size of the image, use the ",(0,Zz.jsx)("i",{children:"Resolution"},void 0)," dropdown."]},void 0)]},void 0)}),void 0),(0,Zz.jsx)(_3,{header:"Mouse Controls"},void 0),(0,Zz.jsx)(V3,{},void 0)]},void 0)},e}(eX),P3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e._toggleSelMode=function(){e.plugin.selectionMode=!e.plugin.selectionMode},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.events.canvas3d.settingsUpdated,(function(){return A.forceUpdate()})),this.subscribe(this.plugin.layout.events.updated,(function(){return A.forceUpdate()})),this.subscribe(this.plugin.behaviors.interaction.selectionMode,(function(){return A.forceUpdate()}))},e.prototype.render=function(){var A=this.props.inline?{background:"transparent",width:"auto",height:"auto",lineHeight:"unset"}:{background:"transparent"};return(0,Zz.jsx)(ZW,{svg:_W,onClick:this._toggleSelMode,title:"Toggle Selection Mode",style:A,toggleState:this.plugin.selectionMode},void 0)},e}(tX),J3={granularity:M3.Params.granularity},O3=new Map([["add","Add/Union Selection"],["remove","Remove/Subtract Selection"],["intersect","Intersect Selection"],["set","Set Selection"]]),K3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={action:void 0,helper:void 0,isEmpty:!0,isBusy:!1,canUndo:!1},e.set=function(A,t){e.plugin.managers.structure.selection.fromSelectionQuery(A,t,!1)},e.selectQuery=function(A,t){if(A&&e.state.action){var r=e.state.action;(null==t?void 0:t.shiftKey)?e.set(r,A.value):e.setState({action:void 0},(function(){e.set(r,A.value)}))}else e.setState({action:void 0})},e.selectHelper=function(A,t){console.log(A),A&&e.state.action?e.setState({helper:A.value.kind}):e.setState({action:void 0,helper:void 0})},e.queriesItems=[],e.queriesVersion=-1,e.helpersItems=void 0,e.toggleAdd=e.showAction("add"),e.toggleRemove=e.showAction("remove"),e.toggleIntersect=e.showAction("intersect"),e.toggleSet=e.showAction("set"),e.toggleTheme=e.showAction("theme"),e.toggleAddComponent=e.showAction("add-component"),e.toggleHelp=e.showAction("help"),e.setGranuality=function(A){var t=A.value;e.plugin.managers.interactivity.setProps({granularity:t})},e.turnOff=function(){return e.plugin.selectionMode=!1},e.undo=function(){var A=e.plugin.state.data.undo();A&&e.plugin.runTask(A)},e.subtract=function(){for(var A=[],t=0,r=e.plugin.managers.structure.hierarchy.getStructuresWithSelection();t<r.length;t++){var n=r[t];A.push.apply(A,n.components)}0!==A.length&&e.plugin.managers.structure.component.modifyByCurrentSelection(A,"subtract")},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.structure.hierarchy.behaviors.selection,(function(e){var t=0===e.hierarchy.structures.length;A.state.isEmpty!==t&&A.setState({isEmpty:t}),A.queriesVersion=-1,A.forceUpdate()})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){A.setState({isBusy:e,action:void 0})})),this.subscribe(this.plugin.managers.interactivity.events.propsUpdated,(function(){A.forceUpdate()})),this.subscribe(this.plugin.state.data.events.historyUpdated,(function(e){var t=e.state;A.setState({canUndo:t.canUndo})}))},Object.defineProperty(e.prototype,"isDisabled",{get:function(){return this.state.isBusy||this.state.isEmpty},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"structures",{get:function(){for(var A,e=[],t=0,r=this.plugin.managers.structure.hierarchy.selection.structures;t<r.length;t++){var n=null===(A=r[t].cell.obj)||void 0===A?void 0:A.data;n&&e.push(n)}return e},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"queries",{get:function(){var A=this.plugin.query.structure.registry;if(A.version!==this.queriesVersion){var e=this.structures,t=S(S(S(S([],A.list,!0),function(A){for(var e=new Map,t=hc.create(),r=0,n=A;r<n.length;r++){var i=n[r];t.structure=i;for(var o=0,a=i.unitSymmetryGroups;o<a.length;o++){var s=a[o];t.unit=s.units[0],t.element=s.elements[0];var u=oQ.entity.type(t);if("polymer"===u||"branched"===u){var g=oQ.entity.pdbx_description(t);e.set(g.join(", "),g)}}}var c=[];return e.forEach((function(A,e){c.push(function(A,e,t){var r=A[0],n=A[1],i="".concat(n);return xM("".concat(n),Oc.struct.modifier.union([Oc.struct.generator.atomGroups({"entity-test":Oc.core.list.equal([Oc.list.apply(Oc,r),Oc.ammp("entityDescription")])})]),{category:"Polymer/Carbohydrate Entities",priority:300,description:i})}([A,e]))})),c}(e),!0),function(A){for(var e=new Map,t=new Set,r=0,n=A;r<n.length;r++){var i=n[r];i.uniqueResidueNames.forEach((function(A){return t.add(A)}));for(var o=function(A){i.uniqueResidueNames.forEach((function(t){var r=A.properties.chemicalComponentMap.get(t);r&&e.set(t,r.name)}))},a=0,s=i.models;a<s.length;a++)o(s[a])}var u=[];return oa.difference(t,DL).forEach((function(A){var t=e.get(A)||A;u.push(vL([[A],t],"Ligand/Non-standard Residue",200))})),u}(e),!0),function(A){for(var e=new Set,t=0,r=A;t<r.length;t++)r[t].uniqueElementSymbols.forEach((function(A){return e.add(A)}));var n=[];return e.forEach((function(A){var e=FM[A]||A;n.push(function(A,e,t){var r=A[0],n="".concat(A[1]," (").concat(r.join(", "),")");return xM(n,Oc.struct.modifier.union([Oc.struct.generator.atomGroups({"atom-test":Oc.core.set.has([Oc.set.apply(Oc,r),Oc.acp("elementSymbol")])})]),{category:"Element Symbol",priority:0,description:n})}([[A],e]))})),n}(e),!0).sort((function(A,e){return e.priority-A.priority}));this.queriesItems=nX.createItems(t,{filter:function(A){return A!==bL.current&&!A.isHidden},label:function(A){return A.label},category:function(A){return A.category},description:function(A){return A.description}}),this.queriesVersion=A.version}return this.queriesItems},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"helpers",{get:function(){return this.helpersItems||(this.helpersItems=nX.createItems([{kind:"residue-list",category:"Helpers",label:"Atom/Residue Identifier List",description:"Create a selection from a list of atom/residue ranges."}],{label:function(A){return A.label},category:function(A){return A.category},description:function(A){return A.description}})),this.helpersItems},enumerable:!1,configurable:!0}),e.prototype.showAction=function(A){var e=this;return function(){return e.setState({action:e.state.action===A?void 0:A,helper:void 0})}},e.prototype.render=function(){var A=this,e=this.plugin.managers.interactivity.props.granularity,t=this.state.canUndo?"Undo ".concat(this.plugin.state.data.latestUndoLabel):"Some mistakes of the past can be undone.",r=void 0;if(this.state.action&&!this.state.helper)r=(0,Zz.jsxs)(Zz.Fragment,{children:[this.state.action&&"theme"!==this.state.action&&"add-component"!==this.state.action&&"help"!==this.state.action&&(0,Zz.jsxs)("div",w({className:"msp-selection-viewport-controls-actions"},{children:[(0,Zz.jsx)(nX,{header:O3.get(this.state.action),title:"Click to close.",items:this.queries,onSelect:this.selectQuery,noOffset:!0},void 0),(0,Zz.jsx)(nX,{items:this.helpers,onSelect:this.selectHelper,noOffset:!0},void 0)]}),void 0),"theme"===this.state.action&&(0,Zz.jsx)("div",w({className:"msp-selection-viewport-controls-actions"},{children:(0,Zz.jsx)(JW,w({header:"Theme",title:"Click to close.",initialExpanded:!0,hideExpander:!0,hideOffset:!0,onHeaderClick:this.toggleTheme,topRightIcon:SZ},{children:(0,Zz.jsx)(z3,{onApply:this.toggleTheme},void 0)}),void 0)}),void 0),"add-component"===this.state.action&&(0,Zz.jsx)("div",w({className:"msp-selection-viewport-controls-actions"},{children:(0,Zz.jsx)(JW,w({header:"Add Component",title:"Click to close.",initialExpanded:!0,hideExpander:!0,hideOffset:!0,onHeaderClick:this.toggleAddComponent,topRightIcon:SZ},{children:(0,Zz.jsx)(D3,{onApply:this.toggleAddComponent,forSelection:!0},void 0)}),void 0)}),void 0),"help"===this.state.action&&(0,Zz.jsx)("div",w({className:"msp-selection-viewport-controls-actions"},{children:(0,Zz.jsxs)(JW,w({header:"Help",title:"Click to 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0,helper:void 0})};r=(0,Zz.jsx)("div",w({className:"msp-selection-viewport-controls-actions"},{children:(0,Zz.jsx)(JW,w({header:"Atom/Residue Identifier List",title:"Click to close.",initialExpanded:!0,hideExpander:!0,hideOffset:!0,onHeaderClick:n,topRightIcon:SZ},{children:(0,Zz.jsx)(W3,{modifier:this.state.action,plugin:this.plugin,close:n},void 0)}),void 0)}),void 0)}return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row",style:{background:"none"}},{children:[(0,Zz.jsx)(VX,{title:"Picking Level for selecting and highlighting",param:J3.granularity,name:"granularity",value:e,onChange:this.setGranuality,isDisabled:this.isDisabled},void 0),(0,Zz.jsx)(WW,{icon:wq,title:"".concat(O3.get("add"),". 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0)},e}(eX),j3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isEmpty:!0,isBusy:!1},e.clear=function(){return e.plugin.managers.interactivity.lociSelects.deselectAll()},e.focus=function(){if(0!==e.plugin.managers.structure.selection.stats.elementCount){var A=e.plugin.managers.structure.selection.getBoundary().sphere;e.plugin.managers.camera.focusSphere(A)}},e.highlight=function(A){e.plugin.managers.interactivity.lociHighlights.clearHighlights(),e.plugin.managers.structure.selection.entries.forEach((function(A){e.plugin.managers.interactivity.lociHighlights.highlight({loci:A.selection},!1)}))},e.clearHighlight=function(){e.plugin.managers.interactivity.lociHighlights.clearHighlights()},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.structure.selection.events.changed,(function(){A.forceUpdate()})),this.subscribe(this.plugin.managers.structure.hierarchy.behaviors.selection,(function(e){var t=0===e.structures.length;A.state.isEmpty!==t&&A.setState({isEmpty:t})})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){A.setState({isBusy:e})}))},Object.defineProperty(e.prototype,"isDisabled",{get:function(){return this.state.isBusy||this.state.isEmpty},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"stats",{get:function(){var A=this.plugin.managers.structure.selection.stats;return 0===A.structureCount||0===A.elementCount?"Nothing Selected":"".concat(wA(A.label)," Selected")},enumerable:!1,configurable:!0}),e.prototype.render=function(){var A=this.plugin.managers.structure.selection.stats,e=0===A.structureCount||0===A.elementCount;return e&&this.props.hideOnEmpty?null:(0,Zz.jsx)(Zz.Fragment,{children:(0,Zz.jsxs)("div",w({className:"msp-flex-row"},{children:[(0,Zz.jsx)(qW,w({noOverflow:!0,onClick:this.focus,title:"Click to Focus Selection",disabled:e,onMouseEnter:this.highlight,onMouseLeave:this.clearHighlight,style:{textAlignLast:e?void 0:"left"}},{children:this.stats}),void 0),!e&&(0,Zz.jsx)(ZW,{svg:CZ,onClick:this.clear,title:"Clear",className:"msp-form-control",flex:!0},void 0)]}),void 0)},void 0)},e}(eX),z3=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e._params=id((function(A){return f3.getThemeParams(e.plugin,A)})),e.state={values:ir.getDefaultValues(e.params)},e.apply=function(){var A,t;e.plugin.managers.structure.component.applyTheme(e.state.values,e.plugin.managers.structure.hierarchy.current.structures),null===(t=(A=e.props).onApply)||void 0===t||t.call(A)},e.paramsChanged=function(A){return e.setState({values:A})},e}return v(e,A),Object.defineProperty(e.prototype,"params",{get:function(){return this._params(this.plugin.managers.structure.component.pivotStructure)},enumerable:!1,configurable:!0}),e.prototype.render=function(){return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(UX,{params:this.params,values:this.state.values,onChangeValues:this.paramsChanged},void 0),(0,Zz.jsx)(qW,w({icon:gZ,className:"msp-btn-commit msp-btn-commit-on",onClick:this.apply,style:{marginTop:"1px"}},{children:"Apply Theme"}),void 0)]},void 0)},e}(tX),q3={idType:ir.Select("auth",ir.arrayToOptions(["auth","label","atom-id"])),identifiers:ir.Text("",{description:"A comma separated list of atom identifiers (e.g. 10, 15-25) or residue ranges in given chain (e.g. A 10-15, B 25, C 30:i)"})},Z3=ir.getDefaultValues(q3);function W3(A){var e=A.modifier,t=A.plugin,r=A.close,n=mq.useState(Z3),i=n[0],o=n[1],a=function(){if(0!==i.identifiers.trim().length)try{r();var A=L3(i.identifiers,i.idType);t.managers.structure.selection.fromCompiledQuery(e,A,!1)}catch(A){console.error(A),t.log.error("Failed to create selection")}};return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(UX,{params:q3,values:i,onChangeValues:o,onEnter:a},void 0),(0,Zz.jsxs)(qW,w({className:"msp-btn-commit 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0):null},e.prototype.render=function(){var A=this.plugin.managers.structure.measurement.state;return(0,Zz.jsxs)("div",w({style:{marginTop:"6px"}},{children:[this.renderGroup(A.labels,"Labels"),this.renderGroup(A.distances,"Distances"),this.renderGroup(A.angles,"Angles"),this.renderGroup(A.dihedrals,"Dihedrals"),this.renderGroup(A.orientations,"Orientations"),this.renderGroup(A.planes,"Planes")]}),void 0)},e}(tX),A4=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isBusy:!1,action:void 0},e.measureDistance=function(){var A=e.plugin.managers.structure.selection.additionsHistory;e.plugin.managers.structure.measurement.addDistance(A[0].loci,A[1].loci)},e.measureAngle=function(){var A=e.plugin.managers.structure.selection.additionsHistory;e.plugin.managers.structure.measurement.addAngle(A[0].loci,A[1].loci,A[2].loci)},e.measureDihedral=function(){var A=e.plugin.managers.structure.selection.additionsHistory;e.plugin.managers.structure.measurement.addDihedral(A[0].loci,A[1].loci,A[2].loci,A[3].loci)},e.addLabel=function(){var A=e.plugin.managers.structure.selection.additionsHistory;e.plugin.managers.structure.measurement.addLabel(A[0].loci)},e.addOrientation=function(){var A=[];e.plugin.managers.structure.selection.entries.forEach((function(e){A.push(e.selection)})),e.plugin.managers.structure.measurement.addOrientation(A)},e.addPlane=function(){var A=[];e.plugin.managers.structure.selection.entries.forEach((function(e){A.push(e.selection)})),e.plugin.managers.structure.measurement.addPlane(A)},e.selectAction=function(A){e.toggleAdd(),A&&(null==A?void 0:A.value)()},e.toggleAdd=function(){return e.setState({action:"add"===e.state.action?void 0:"add"})},e.toggleOptions=function(){return e.setState({action:"options"===e.state.action?void 0:"options"})},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.selection.events.additionsHistoryUpdated,(function(){A.forceUpdate(),A.updateOrderLabels()})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){A.setState({isBusy:e})}))},e.prototype.componentWillUnmount=function(){this.clearOrderLabels(),A.prototype.componentWillUnmount.call(this)},e.prototype.componentDidUpdate=function(A,e){this.state.action!==e.action&&this.updateOrderLabels()},e.prototype.clearOrderLabels=function(){this.plugin.managers.structure.measurement.addOrderLabels([])},e.prototype.updateOrderLabels=function(){if("add"===this.state.action){for(var A=[],e=this.selection.additionsHistory,t=0;t<e.length&&t<4;t++)A.push(e[t].loci);this.plugin.managers.structure.measurement.addOrderLabels(A)}else this.clearOrderLabels()},Object.defineProperty(e.prototype,"selection",{get:function(){return this.plugin.managers.structure.selection},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"actions",{get:function(){var A=this.selection.additionsHistory;return[{kind:"item",label:"Label ".concat(0===A.length?" (1 selection item required)":" (1st selection item)"),value:this.addLabel,disabled:0===A.length},{kind:"item",label:"Distance ".concat(A.length<2?" (2 selection items required)":" (top 2 selection items)"),value:this.measureDistance,disabled:A.length<2},{kind:"item",label:"Angle ".concat(A.length<3?" (3 selection items required)":" (top 3 items)"),value:this.measureAngle,disabled:A.length<3},{kind:"item",label:"Dihedral ".concat(A.length<4?" (4 selection items required)":" (top 4 selection items)"),value:this.measureDihedral,disabled:A.length<4},{kind:"item",label:"Orientation ".concat(0===A.length?" (selection required)":" (current selection)"),value:this.addOrientation,disabled:0===A.length},{kind:"item",label:"Plane ".concat(0===A.length?" (selection required)":" (current selection)"),value:this.addPlane,disabled:0===A.length}]},enumerable:!1,configurable:!0}),e.prototype.highlight=function(A){this.plugin.managers.interactivity.lociHighlights.highlightOnly({loci:A},!1)},e.prototype.moveHistory=function(A,e){this.plugin.managers.structure.selection.modifyHistory(A,e,4)},e.prototype.focusLoci=function(A){this.plugin.managers.camera.focusLoci(A)},e.prototype.historyEntry=function(A,e){var t=this,r=this.plugin.managers.structure.selection.additionsHistory;return(0,Zz.jsxs)("div",w({className:"msp-flex-row",onMouseEnter:function(){return t.highlight(A.loci)},onMouseLeave:function(){return t.plugin.managers.interactivity.lociHighlights.clearHighlights()}},{children:[(0,Zz.jsxs)(qW,w({noOverflow:!0,title:"Click to focus. Hover to highlight.",onClick:function(){return t.focusLoci(A.loci)},style:{width:"auto",textAlign:"left"}},{children:[e,". ",(0,Zz.jsx)("span",{dangerouslySetInnerHTML:{__html:A.label}},void 0)]}),void 0),r.length>1&&(0,Zz.jsx)(ZW,{svg:tZ,small:!0,className:"msp-form-control",onClick:function(){return t.moveHistory(A,"up")},flex:"20px",title:"Move up"},void 0),r.length>1&&(0,Zz.jsx)(ZW,{svg:Zq,small:!0,className:"msp-form-control",onClick:function(){return t.moveHistory(A,"down")},flex:"20px",title:"Move down"},void 0),(0,Zz.jsx)(ZW,{svg:JZ,small:!0,className:"msp-form-control",onClick:function(){return t.plugin.managers.structure.selection.modifyHistory(A,"remove")},flex:!0,title:"Remove"},void 0)]}),A.id)},e.prototype.add=function(){for(var A=this.plugin.managers.structure.selection.additionsHistory,e=[],t=0,r=Math.min(A.length,4);t<r;t++)e.push(this.historyEntry(A[t],t+1));return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(nX,{items:this.actions,onSelect:this.selectAction},void 0),e.length>0&&(0,Zz.jsx)("div",w({className:"msp-control-offset"},{children:e}),void 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e.state={isDisabled:!1},e.changed=function(A){e.plugin.managers.structure.measurement.setOptions(A)},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.structure.measurement.behaviors.state,(function(){A.forceUpdate()})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){A.setState({isDisabled:e})}))},e.prototype.render=function(){var A=this.plugin.managers.structure.measurement.state;return(0,Zz.jsx)("div",w({className:"msp-control-offset"},{children:(0,Zz.jsx)(UX,{params:R3,values:A.options,onChangeValues:this.changed,isDisabled:this.state.isDisabled},void 0)}),void 0)},e}(tX),t4=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={showUpdate:!1},e.delete=function(){sV.State.RemoveObject(e.plugin,{state:e.props.cell.parent,ref:e.props.cell.transform.parent,removeParentGhosts:!0})},e.toggleVisibility=function(A){A.preventDefault(),sV.State.ToggleVisibility(e.plugin,{state:e.props.cell.parent,ref:e.props.cell.transform.parent}),A.currentTarget.blur()},e.highlight=function(){var A;if(e.selections){e.plugin.managers.interactivity.lociHighlights.clearHighlights();for(var t=0,r=e.lociArray;t<r.length;t++){var n=r[t];e.plugin.managers.interactivity.lociHighlights.highlight({loci:n},!1)}e.plugin.managers.interactivity.lociHighlights.highlight({loci:null===(A=e.props.cell.obj)||void 0===A?void 0:A.data.repr.getLoci()},!1)}},e.clearHighlight=function(){e.plugin.managers.interactivity.lociHighlights.clearHighlights()},e.toggleUpdate=function(){return e.setState({showUpdate:!e.state.showUpdate})},e.focus=function(){if(e.selections){var A=VN.getBundleBoundingSphere({loci:e.lociArray});A&&e.plugin.managers.camera.focusSphere(A)}},e.selectAction=function(A){A&&(e.setState({showUpdate:!1}),(null==A?void 0:A.value)())},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.cell.stateUpdated,(function(e){A.forceUpdate()}))},Object.defineProperty(e.prototype,"selections",{get:function(){var A;return null===(A=this.props.cell.obj)||void 0===A?void 0:A.data.sourceData},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"lociArray",{get:function(){var A=this.selections;return A?A.infos?[A.infos[0].loci]:A.pairs?A.pairs[0].loci:A.triples?A.triples[0].loci:A.quads?A.quads[0].loci:A.locis?A.locis:[]:[]},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"label",{get:function(){var A=this.selections;return A?A.infos?tH(A.infos[0].loci,{condensed:!0}):A.pairs?cH(A.pairs[0],{condensed:!0,unitLabel:this.plugin.managers.structure.measurement.state.options.distanceUnitLabel}):A.triples?BH(A.triples[0],{condensed:!0}):A.quads?lH(A.quads[0],{condensed:!0}):A.locis?oH(A.locis,{countsOnly:!0}):"<empty>":"<empty>"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"actions",{get:function(){var A=this;return this.props.cell.sourceRef,[nX.Item("Select This",(function(){return A.plugin.managers.structure.selection.fromSelections(A.props.cell.sourceRef)}),{icon:Hq})]},enumerable:!1,configurable:!0}),e.prototype.render=function(){var A=this.props.cell,e=A.obj;return e?(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row",onMouseEnter:this.highlight,onMouseLeave:this.clearHighlight},{children:[(0,Zz.jsx)("button",w({className:"msp-form-control msp-control-button-label msp-no-overflow",title:"Click to focus. Hover to highlight.",onClick:this.focus,style:{width:"auto",textAlign:"left"}},{children:(0,Zz.jsx)("span",{dangerouslySetInnerHTML:{__html:this.label}},void 0)}),void 0),(0,Zz.jsx)(ZW,{svg:A.state.isHidden?MW:xW,toggleState:!1,small:!0,className:"msp-form-control",onClick:this.toggleVisibility,flex:!0,title:A.state.isHidden?"Show":"Hide"},void 0),(0,Zz.jsx)(ZW,{svg:JZ,small:!0,className:"msp-form-control",onClick:this.delete,flex:!0,title:"Delete",toggleState:!1},void 0),(0,Zz.jsx)(ZW,{svg:oW,className:"msp-form-control",onClick:this.toggleUpdate,flex:!0,title:"Actions",toggleState:this.state.showUpdate},void 0)]}),e.id),this.state.showUpdate&&A.parent&&(0,Zz.jsx)(Zz.Fragment,{children:(0,Zz.jsxs)("div",w({className:"msp-accent-offset"},{children:[(0,Zz.jsx)(nX,{items:this.actions,onSelect:this.selectAction,noOffset:!0},void 0),(0,Zz.jsx)(XW,w({header:"Options",noOffset:!0},{children:(0,Zz.jsx)(C3,{state:A.parent,transform:A.transform,customHeader:"none",autoHideApply:!0},void 0)}),void 0)]}),void 0)},void 0)]},void 0):null},e}(tX);function r4(A,e,t,r){for(var n=kn.indexOf(e.unit.elements,e.element),i=dI(e.structure,[{unit:e.unit,indices:Tn.ofSingleton(n)}]),o="residue"===r?dI.extendToWholeResidues(i):dI.extendToWholeChains(i),a=oQ.entity.pdbx_description(e).join(", "),s=0,u=t.units;s<u.length;s++){var g=u[s],c=dI(o.structure,[{unit:g,indices:o.elements[0].indices}]),B=tH(c,{reverse:!0,hidePrefix:!0,htmlStyling:!1,granularity:r});B||(B=tH(c,{hidePrefix:!1,htmlStyling:!1})),t.units.length>1&&(B+=" | ".concat(c.elements[0].unit.conformation.operator.name));var l={label:B,category:a,loci:c};A.has(a)?A.get(a).push(l):A.set(a,[l])}}function n4(A){for(var e=new Map,t=hc.create(A),r=0,n=A.unitSymmetryGroups;r<n.length;r++){var i=n[r];if(TB.isAtomic(i.units[0])){t.unit=i.units[0],t.element=i.elements[0];var o=TB.Traits.is(t.unit.traits,1),a=oQ.entity.type(t),s="non-polymer"===a,u="branched"===a;if(oQ.entity.prd_id(t))r4(e,t,i,"chain");else if(s&&!o)r4(e,t,i,"residue");else if(u||s&&o)for(var g=t.unit,c=g.model.atomicHierarchy.residueAtomSegments.index,B=-1,l=0,Q=g.elements.length;l<Q;++l){var I=g.elements[l],d=c[I];d!==B&&(t.element=I,r4(e,t,i,"residue"),B=d)}}}var h=[];return e.forEach((function(A,e){1===A.length?h.push({label:"".concat(e,": ").concat(A[0].label),loci:A[0].loci}):A.length<2e3&&h.push.apply(h,A)})),h}var i4=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isBusy:!1,showAction:!1},e.getSelectionItems=id((function(A){for(var e,t=[],r=0,n=A;r<n.length;r++){var i=null===(e=n[r].cell.obj)||void 0===e?void 0:e.data;if(i){var o=n4(i);o.length>0&&t.push(S([nX.Header(i.label,{description:i.label})],nX.createItems(o,{label:function(A){return A.label},category:function(A){return A.category},description:function(A){return A.label}}),!0))}}return t})),e.selectAction=function(A,t){if(A&&e.state.showAction){var r=A.value;(null==t?void 0:t.shiftKey)?e.plugin.managers.structure.focus.addFromLoci(r.loci):e.plugin.managers.structure.focus.set(r),e.focusCamera()}else e.setState({showAction:!1})},e.toggleAction=function(){return e.setState({showAction:!e.state.showAction})},e.focusCamera=function(){var A=e.plugin.managers.structure.focus.current;A&&e.plugin.managers.camera.focusLoci(A.loci)},e.clear=function(){e.plugin.managers.structure.focus.clear(),e.plugin.managers.camera.reset()},e.highlightCurrent=function(){var A=e.plugin.managers.structure.focus.current;A&&e.plugin.managers.interactivity.lociHighlights.highlightOnly({loci:A.loci},!1)},e.clearHighlights=function(){e.plugin.managers.interactivity.lociHighlights.clearHighlights()},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.structure.focus.behaviors.current,(function(e){A.getSelectionItems([]),A.forceUpdate()})),this.subscribe(this.plugin.managers.structure.focus.events.historyUpdated,(function(e){A.forceUpdate()})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){A.setState({isBusy:e,showAction:!1})}))},Object.defineProperty(e.prototype,"isDisabled",{get:function(){return this.state.isBusy||0===this.actionItems.length},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"actionItems",{get:function(){var A=[],e=this.plugin.managers.structure.focus.history;e.length>0&&A.push(S([nX.Header("History",{description:"Previously focused on items."})],nX.createItems(e,{label:function(A){return A.label},description:function(A){return A.category&&A.label!==A.category?"".concat(A.category," | ").concat(A.label):A.label}}),!0));var t=this.getSelectionItems(this.plugin.managers.structure.hierarchy.selection.structures);1===t.length&&(t[0][0].initiallyExpanded=!0);var r=[];return t.length>0&&r.push.apply(r,t),A.length>0&&r.push.apply(r,A),r},enumerable:!1,configurable:!0}),e.prototype.getToggleBindingLabel=function(){var A,e=this.plugin.state.behaviors.transforms.get($P.id);if(!e)return"";var t=null===(A=e.params)||void 0===A?void 0:A.bindings.clickFocus;return!t||ZV.isEmpty(t)?"":ZV.formatTriggers(t)},e.prototype.render=function(){var A=this.plugin.managers.structure.focus.current,e=(null==A?void 0:A.label)||"Nothing Focused",t="Click to Center Camera";if(!A){t="Select focus using the menu";var r=this.getToggleBindingLabel();r&&(t+="\nor use '".concat(r,"' on element"))}return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row"},{children:[(0,Zz.jsx)(qW,w({noOverflow:!0,onClick:this.focusCamera,title:t,onMouseEnter:this.highlightCurrent,onMouseLeave:this.clearHighlights,disabled:this.isDisabled||!A,style:{textAlignLast:A?"left":void 0}},{children:e}),void 0),A&&(0,Zz.jsx)(ZW,{svg:CZ,onClick:this.clear,title:"Clear",className:"msp-form-control",flex:!0,disabled:this.isDisabled},void 0),(0,Zz.jsx)(WW,{icon:vZ,title:"Select a focus target to center on an show its surroundings. Hold shift to focus on multiple targets.",toggle:this.toggleAction,isSelected:this.state.showAction,disabled:this.isDisabled,style:{flex:"0 0 40px",padding:0}},void 0)]}),void 0),this.state.showAction&&(0,Zz.jsx)(nX,{items:this.actionItems,onSelect:this.selectAction},void 0)]},void 0)},e}(eX),o4=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.item=function(A){var t,r,n,i,o,a,s,u,g,c,B=e.plugin.managers.structure.hierarchy.seletionSet;switch(A.kind){case"model":(l=null===(t=A.cell.obj)||void 0===t?void 0:t.data)&&dd.TrajectoryInfo.get(l).size>1&&(c="".concat(null===(r=A.cell.obj)||void 0===r?void 0:r.data.entryId," | Model ").concat(dd.TrajectoryInfo.get(l).index+1," of ").concat(dd.TrajectoryInfo.get(l).size)),c="".concat(null===(n=A.cell.obj)||void 0===n?void 0:n.data.entryId," | ").concat(null===(i=A.cell.obj)||void 0===i?void 0:i.label);break;case"structure":var l;if((l=null===(o=A.cell.obj)||void 0===o?void 0:o.data.models[0])&&dd.TrajectoryInfo.get(l).size>1){c="".concat(l.entryId," | ").concat(null===(a=A.cell.obj)||void 0===a?void 0:a.label," (Model ").concat(dd.TrajectoryInfo.get(l).index+1," of ").concat(dd.TrajectoryInfo.get(l).size,")");break}if(l){c="".concat(l.entryId," | ").concat(null===(s=A.cell.obj)||void 0===s?void 0:s.label);break}c="".concat(null===(u=A.cell.obj)||void 0===u?void 0:u.label);break;default:c=null===(g=A.cell.obj)||void 0===g?void 0:g.label}return{kind:"item",label:c||A.kind,selected:B.has(A.cell.transform.ref),value:[A]}},e.getTrajectoryItems=function(A){var t;return 0===A.models.length?e.item(A):S([nX.Header(null===(t=A.cell.obj)||void 0===t?void 0:t.label)],A.models.map(e.getModelItems),!0)},e.getModelItems=function(A){var t,r,n;if(0===A.structures.length)return e.item(A);if(1===A.structures.length){var i=e.plugin.managers.structure.hierarchy.seletionSet,o=A.structures[0];return{label:"".concat(null===(t=A.cell.obj)||void 0===t?void 0:t.label," | ").concat(null===(r=o.cell.obj)||void 0===r?void 0:r.label),selected:i.has(o.cell.transform.ref),value:[A,o]}}return S([nX.Header(null===(n=A.cell.obj)||void 0===n?void 0:n.label)],A.structures.map(e.item),!0)},e.selectHierarchy=function(A){if(A&&0!==A.length){for(var t=[],r=0,n=A;r<n.length;r++)for(var i=0,o=n[r].value;i<o.length;i++){var a=o[i];t.push(a)}e.plugin.managers.structure.hierarchy.updateCurrent(t,A[0].selected?"remove":"add")}},e.toggleHierarchy=function(){return e.setState({show:"hierarchy"!==e.state.show?"hierarchy":void 0})},e.togglePreset=function(){return e.setState({show:"presets"!==e.state.show?"presets":void 0})},e.applyPreset=function(A){if(e.setState({show:void 0}),A){var t=e.plugin.managers.structure,r=t.hierarchy.selection.trajectories;t.hierarchy.applyPreset(r,A.value)}},e.updateModelQueueParams=void 0,e.isUpdatingModel=!1,e.updateStructureModel=function(A){e.updateModelQueueParams=A,e._updateStructureModel()},e.updateStructure=function(A){var t=e.plugin.managers.structure.hierarchy.selection.structures[0];return e.plugin.managers.structure.hierarchy.updateStructure(t,A)},e}return v(e,A),e.prototype.defaultState=function(){return{header:"Structure",isCollapsed:!1,isBusy:!1,brand:{accent:"purple",svg:Mq}}},e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.structure.hierarchy.behaviors.selection,(function(){return A.forceUpdate()})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){A.setState({isBusy:e})}))},Object.defineProperty(e.prototype,"hierarchyItems",{get:function(){var A=this.plugin.managers.structure.hierarchy.current,e=[];return A.trajectories.length>1&&e.push(S([nX.Header("Trajectories")],A.trajectories.map(this.item),!0)),(A.models.length>1||A.trajectories.length>1)&&e.push(S([nX.Header("Models")],A.models.map(this.item),!0)),1===A.trajectories.length&&1===A.models.length?e.push.apply(e,A.structures.map(this.item)):A.structures.length>0&&e.push(S([nX.Header("Structures")],A.structures.map(this.item),!0)),e},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"isEmpty",{get:function(){var A=this.plugin.managers.structure.hierarchy.current,e=A.structures,t=A.models;return 0===A.trajectories.length&&0===t.length&&0===e.length},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"label",{get:function(){var A,e,t,r,n,i,o,a,s,u,g,c,B,l,Q=this.plugin.managers.structure.hierarchy.selection,I=Q.structures,d=Q.models,h=Q.trajectories;if(1===I.length)return(null===(e=null===(A=(y=I[0]).model)||void 0===A?void 0:A.trajectory)||void 0===e?void 0:e.models)&&1===y.model.trajectory.models.length?null===(t=y.cell.obj)||void 0===t?void 0:t.data.label:y.model?"".concat(null===(r=y.model.cell.obj)||void 0===r?void 0:r.label," | ").concat(null===(n=y.cell.obj)||void 0===n?void 0:n.data.label):null===(i=y.cell.obj)||void 0===i?void 0:i.data.label;if(I.length>1){for(var E=I[0],f=null===(o=null==E?void 0:E.model)||void 0===o?void 0:o.trajectory,C=!0,p=0,m=I;p<m.length;p++){var y;if((null===(a=null==(y=m[p])?void 0:y.model)||void 0===a?void 0:a.trajectory)!==f){C=!1;break}}return C&&f?"".concat(null===(s=f.cell.obj)||void 0===s?void 0:s.label," | ").concat(I.length," structures"):"".concat(I.length," structures")}if(d.length>0){if(f=d[0].trajectory,1===d.length){var v=null===(u=d[0].cell.obj)||void 0===u?void 0:u.data;return v&&dd.TrajectoryInfo.get(v).size>1?"".concat(null===(g=null==f?void 0:f.cell.obj)||void 0===g?void 0:g.label," | Model ").concat(dd.TrajectoryInfo.get(v).index+1," of ").concat(dd.TrajectoryInfo.get(v).size):"".concat(null===(c=null==f?void 0:f.cell.obj)||void 0===c?void 0:c.label," | Model")}C=!0;for(var D=0,b=d;D<b.length;D++)if(b[D].trajectory!==f){C=!1;break}return C?"".concat(null===(B=null==f?void 0:f.cell.obj)||void 0===B?void 0:B.label," | ").concat(d.length," models"):"".concat(d.length," models")}return h.length>0?1===h.length?"".concat(null===(l=h[0].cell.obj)||void 0===l?void 0:l.label," trajectory"):"".concat(h.length," trajectories"):0===h.length&&0===d.length&&0===I.length?"Nothing Loaded":"Nothing Selected"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"presetActions",{get:function(){var A=[],e=this.plugin.managers.structure.hierarchy.selection.trajectories;if(0===e.length)return A;var t=this.plugin.builders.structure.hierarchy.getPresets(e[0].cell.obj);if(e.length>1){for(var r=new Set(t),n=1;n<e.length;n++)for(var i=this.plugin.builders.structure.hierarchy.getPresets(e[n].cell.obj),o=new Set(i),a=0,s=i;a<s.length;a++){var u=s[a];o.has(u)||r.delete(u)}t=t.filter((function(A){return r.has(A)}))}for(var g=0,c=t;g<c.length;g++)u=c[g],A.push(nX.Item(u.display.name,u,{description:u.display.description}));return A},enumerable:!1,configurable:!0}),e.prototype._updateStructureModel=function(){return F(this,void 0,void 0,(function(){var A,e,t;return U(this,(function(r){switch(r.label){case 0:if(!this.updateModelQueueParams||this.isUpdatingModel)return[2];A=this.updateModelQueueParams,this.updateModelQueueParams=void 0,r.label=1;case 1:return r.trys.push([1,,3,4]),this.isUpdatingModel=!0,e=this.plugin.managers.structure.hierarchy.selection,t=e.structures[0].model,[4,this.plugin.state.updateTransform(this.plugin.state.data,t.cell.transform.ref,A,"Model Index")];case 2:return r.sent(),[3,4];case 3:return this.isUpdatingModel=!1,this._updateStructureModel(),[7];case 4:return[2]}}))}))},Object.defineProperty(e.prototype,"modelIndex",{get:function(){var A,e,t=this.plugin.managers.structure.hierarchy.selection;if(1!==t.structures.length)return null;var r=t.structures[0].model;if(!r||r.cell.transform.transformer!==wM.Model.ModelFromTrajectory)return null;if(!r.cell.obj||dd.TrajectoryInfo.get(r.cell.obj.data).size<=1)return null;var n=null===(A=r.cell.params)||void 0===A?void 0:A.definition;return n?(0,Zz.jsx)(UX,{params:n,values:null===(e=r.cell.params)||void 0===e?void 0:e.values,onChangeValues:this.updateStructureModel,isDisabled:this.state.isBusy},void 0):null},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"structureType",{get:function(){var A,e=this.plugin.managers.structure.hierarchy.selection;if(1!==e.structures.length)return null;var t=e.structures[0];return(null===(A=t.cell.params)||void 0===A?void 0:A.definition)&&t.cell.parent?(0,Zz.jsx)(C3,{state:t.cell.parent,transform:t.cell.transform,customHeader:"none",customUpdate:this.updateStructure,noMargin:!0,autoHideApply:!0},void 0):null},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"transform",{get:function(){var A=this.plugin.managers.structure.hierarchy.selection;if(1!==A.structures.length)return null;var e=A.structures[0];if(!e.cell.parent)return null;var t=xd.tryFindDecorator(this.plugin.state.data,e.cell.transform.ref,wM.Model.TransformStructureConformation);return t?(0,Zz.jsx)(XW,w({header:"Conformation Transform"},{children:(0,Zz.jsx)(C3,{state:t.parent,transform:t.transform,customHeader:"none",noMargin:!0,autoHideApply:!0},void 0)}),void 0):void 0},enumerable:!1,configurable:!0}),e.prototype.renderControls=function(){var A=this.state.isBusy||this.isEmpty,e=this.presetActions,t=this.label;return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row",style:{marginTop:"1px"}},{children:[(0,Zz.jsx)(qW,w({noOverflow:!0,flex:!0,onClick:this.toggleHierarchy,disabled:A,title:t},{children:t}),void 0),e.length>0&&(0,Zz.jsx)(ZW,{svg:sZ,className:"msp-form-control",flex:"40px",onClick:this.togglePreset,title:"Apply a structure presets to the current hierarchy.",toggleState:"presets"===this.state.show,disabled:A},void 0)]}),void 0),"hierarchy"===this.state.show&&(0,Zz.jsx)(nX,{items:this.hierarchyItems,onSelect:this.selectHierarchy,multiselect:!0},void 0),"presets"===this.state.show&&(0,Zz.jsx)(nX,{items:e,onSelect:this.applyPreset},void 0),this.modelIndex,this.structureType,this.transform,(0,Zz.jsxs)("div",w({style:{marginTop:"6px"}},{children:[(0,Zz.jsx)(i4,{},void 0),(0,Zz.jsx)(j3,{hideOnEmpty:!0},void 0)]}),void 0)]},void 0)},e}(rX);function a4(){return{volumes:[],lazyVolumes:[],refs:new Map}}function s4(A){return{kind:"volume",cell:A,version:A.transform.version,representations:[]}}function u4(A){return{kind:"lazy-volume",cell:A,version:A.transform.version}}function g4(A,e){return{kind:"volume-representation",cell:A,version:A.transform.version,volume:e}}function c4(A,e,t,r){for(var n=[],i=4;i<arguments.length;i++)n[i-4]=arguments[i];var o=r.apply(void 0,n);t.push(o),A.hierarchy.refs.set(e.transform.ref,o);var a=A.oldHierarchy.refs.get(e.transform.ref);return a?a.version!==e.transform.version&&(A.changed=!0):(A.added.add(o.cell.transform.ref),A.changed=!0),o}function B4(){}var l4,Q4=[[(l4=qf.Volume.Data,function(A,e){return!function(A){return A.currentVolume}(e)&&l4.is(A.obj)}),function(A,e){A.currentVolume=c4(A,e,A.hierarchy.volumes,s4,e)},function(A){return A.currentVolume=void 0}],[function(A){return qf.Volume.Lazy.is(A.obj)},function(A,e){c4(A,e,A.hierarchy.lazyVolumes,u4,e)},B4],[function(A,e){return!A.state.isGhost&&!!e.currentVolume&&qf.Volume.Representation3D.is(A.obj)},function(A,e){return A.currentVolume&&c4(A,e,A.currentVolume.representations,g4,e,A.currentVolume),!1},B4]];function I4(A){if(!A||!(null==A?void 0:A.parent)||!A.parent.cells.has(A.transform.ref))return!1;var e=A.obj;return!(!e||e===Dd.Null||"ok"!==A.status&&"error"!==A.status)}function d4(A){I4(A.cell)||(this.changed=!0)}function h4(A){E4(this,this.tree.transforms.get(A))}function E4(A,e){var t=A.state,r=t.state.cells.get(e.ref);if(I4(r)){for(var n=void 0,i=!1,o=0,a=Q4;o<a.length;o++){var s=a[o],u=s[0],g=s[1],c=s[2];if(u(r,t)){if(!1===g(t,r)){i=!0;break}n=c;break}}if(!i){var B=A.tree.children.get(e.ref);B&&B.size&&B.forEach(h4,A),n&&n(t)}}}var f4=function(A){function e(e){var t=A.call(this)||this;return t.plugin=e,t.state={syncedTree:t.dataState.tree,notified:!1,hierarchy:a4(),selection:void 0},t.behaviors={selection:t.ev.behavior({hierarchy:t.current,volume:t.selection})},t.subscribe(e.state.data.events.changed,(function(A){A.inTransaction||e.behaviors.state.isAnimating.value||t.sync(!0)})),t.subscribe(e.behaviors.state.isAnimating,(function(A){A||e.behaviors.state.isUpdating.value||t.sync(!0)})),t}return v(e,A),Object.defineProperty(e.prototype,"dataState",{get:function(){return this.plugin.state.data},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"current",{get:function(){return this.sync(!1),this.state.hierarchy},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"selection",{get:function(){return this.sync(!1),this.state.selection},enumerable:!1,configurable:!0}),e.prototype.sync=function(A){if(A||!this.dataState.inUpdate)if(this.state.syncedTree!==this.dataState.tree){this.state.syncedTree=this.dataState.tree;var e=(r=this.plugin.state.data,n=this.current,i=function(A,e){return{state:A,oldHierarchy:e,hierarchy:a4(),changed:!1,added:new Set}}(r,n||a4()),function(A,e){E4({tree:A,state:e},A.root)}(r.tree,i),n&&n.refs.forEach(d4,i),{hierarchy:i.hierarchy,added:i.added,changed:i.changed});if(e.changed){var t=e.hierarchy;this.state.hierarchy=t,this.state.selection?this.state.selection=t.refs.has(this.state.selection.cell.transform.ref)?t.refs.get(this.state.selection.cell.transform.ref):t.volumes[0]:this.state.selection=t.volumes[0],A?(this.state.notified=!0,this.behaviors.selection.next({hierarchy:t,volume:this.state.selection})):this.state.notified=!1}}else A&&!this.state.notified&&(this.state.notified=!0,this.behaviors.selection.next({hierarchy:this.state.hierarchy,volume:this.state.selection}));var r,n,i},e.prototype.setCurrent=function(A){this.state.selection=A||this.state.hierarchy.volumes[0],this.behaviors.selection.next({hierarchy:this.state.hierarchy,volume:A||this.state.hierarchy.volumes[0]})},e.prototype.remove=function(A,e){if(0!==A.length){for(var t=this.plugin.state.data.build(),r=0,n=A;r<n.length;r++){var i=n[r];t.delete("string"==typeof i?i:i.cell.transform.ref)}return t.commit({canUndo:!!e&&"Remove"})}},e.prototype.toggleVisibility=function(A,e){if(0!==A.length)for(var t=void 0!==e?"show"!==e:!A[0].cell.state.isHidden,r=0,n=A;r<n.length;r++){var i=n[r];hV(this.dataState,i.cell.transform.ref,t)}},e.prototype.addRepresentation=function(A,e){var t;return this.dataState.build().to(A.cell).apply(wM.Representation.VolumeRepresentation3D,$2(this.plugin,null===(t=A.cell.obj)||void 0===t?void 0:t.data,{type:e})).commit({canUndo:"Add Representation"})},e}(W_);!function(A){A.getRepresentationTypes=function(A,e){var t,r;return(null===(t=null==e?void 0:e.cell.obj)||void 0===t?void 0:t.data)?A.representation.volume.registry.getApplicableTypes(null===(r=e.cell.obj)||void 0===r?void 0:r.data):A.representation.volume.registry.types}}(f4||(f4={}));var C4,p4=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e}(qf.Create({name:"Volume Streaming",typeClass:"Object"}));function m4(A,e,t,r){return F(this,void 0,void 0,(function(){return U(this,(function(n){switch(A){case"emdb":return[2,y4(e,t,r)];case"pdbe":return[2,v4(e,t,r)]}return[2]}))}))}function y4(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i;return U(this,(function(o){switch(o.label){case 0:return r=A.config.get(SL.VolumeStreaming.EmdbHeaderServer),[4,A.fetch({url:"".concat(r,"/").concat(t.toUpperCase(),"/header/").concat(t.toLowerCase(),".xml"),type:"xml"}).runInContext(e)];case 1:return n=o.sent(),i=n.getElementsByTagName("map")[0],[2,parseFloat(i.getElementsByTagName("contourLevel")[0].textContent)]}}))}))}function v4(A,e,t){var r,n,i,o;return F(this,void 0,void 0,(function(){var a,s;return U(this,(function(u){switch(u.label){case 0:return t=t.toUpperCase(),[4,A.fetch({url:"https://www.ebi.ac.uk/emdb/api/entry/map/".concat(t),type:"json"}).runInContext(e)];case 1:return a=u.sent(),(s=null===(n=null===(r=null==a?void 0:a.map)||void 0===r?void 0:r.contour_list)||void 0===n?void 0:n.contour)&&0!==s.length?[2,null!==(o=null===(i=s.find((function(A){return A.primary})))||void 0===i?void 0:i.level)&&void 0!==o?o:s[0].level]:[2,D4(A,e,t)]}}))}))}function D4(A,e,t){var r,n,i;return F(this,void 0,void 0,(function(){var o,a,s;return U(this,(function(u){switch(u.label){case 0:return t=t.toUpperCase(),[4,A.fetch({url:"https://www.ebi.ac.uk/pdbe/api/emdb/entry/map/".concat(t),type:"json"}).runInContext(e)];case 1:return o=u.sent(),a=null==o?void 0:o[t],s=void 0,void 0!==(null===(i=null===(n=null===(r=null==a?void 0:a[0])||void 0===r?void 0:r.map)||void 0===n?void 0:n.contour_level)||void 0===i?void 0:i.value)&&(s=+a[0].map.contour_level.value),[2,s]}}))}))}function b4(A,e,t){var r;return F(this,void 0,void 0,(function(){var n,i,o,a;return U(this,(function(s){switch(s.label){case 0:return[4,A.fetch({url:"https://www.ebi.ac.uk/pdbe/api/pdb/entry/summary/".concat(t),type:"json"}).runInContext(e)];case 1:if(n=s.sent(),i=null==n?void 0:n[t],o=[],!(null===(r=null==i?void 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n=A[e],i=A[t],a=A[r];n>=0&&i>=0&&a>=0&&(++s,HA.add3(o,n,i,a))},get:function(){var A=HA.compact(r,!0),t=HA.compact(n,!0),u=HA.compact(o,!0),g=HA.compact(i,!0);return Yv.create(A,u,t,g,a,s,e)}}}(s,e),[4,new Y4(r,u,t).run()];case 1:return g.sent(),[2,u.get()]}}))}))}))}function k4(A,e){var t=this;return Pe.create("Marching Cubes Lines",(function(r){return F(t,void 0,void 0,(function(){var t,n,i,o,a,s,u;return U(this,(function(g){switch(g.label){case 0:return t=M4(A),n=L4(t),i=n.dX,o=n.dY,a=n.dZ,s=Math.min(262144,Math.max(i*o*a/32,1024)),u=function(A,e){var t=HA.create(Float32Array,3,A),r=HA.create(Float32Array,1,A),n=HA.create(Float32Array,2,A),i=0;return{addVertex:function(A,e,r){return HA.add3(t,A,e,r)},addNormal:function(){return V},addGroup:function(A){HA.add(r,A)},addTriangle:function(A,e,t,r,o){var a=A[e],s=A[t],u=A[r];a>=0&&s>=0&&u>=0&&(G4[e][t]&o&&(++i,HA.add2(n,A[e],A[t])),G4[t][r]&o&&(++i,HA.add2(n,A[t],A[r])),G4[e][r]&o&&(++i,HA.add2(n,A[e],A[r])))},get:function(){for(var A=HA.compact(t,!0),o=HA.compact(n,!0),a=HA.compact(r,!0),s=gy.create(i,i/10,e),u=0;u<i;++u){var g=o[2*u],c=o[2*u+1];s.add(A[3*g],A[3*g+1],A[3*g+2],A[3*c],A[3*c+1],A[3*c+2],a[g])}return s.getLines()}}}(s,e),[4,new Y4(r,u,t).run()];case 1:return g.sent(),[2,u.get()]}}))}))}))}var Y4=function(){function A(A,e,t){this.ctx=A,this.minX=0,this.minY=0,this.minZ=0,this.maxX=0,this.maxY=0,this.maxZ=0,this.state=new _4(e,t),this.minX=t.bottomLeft[0],this.minY=t.bottomLeft[1],this.minZ=t.bottomLeft[2],this.maxX=t.topRight[0]-1,this.maxY=t.topRight[1]-1,this.maxZ=t.topRight[2]-1,this.size=(this.maxX-this.minX)*(this.maxY-this.minY)*(this.maxZ-this.minZ),this.sliceSize=(this.maxX-this.minX)*(this.maxY-this.minY)}return A.prototype.doSlices=function(){return F(this,void 0,void 0,(function(){var A,e;return U(this,(function(t){switch(t.label){case 0:A=0,this.edgeFilter=15,e=this.minZ,t.label=1;case 1:return e<this.maxZ?(this.slice(e),A+=this.sliceSize,this.ctx.shouldUpdate?[4,this.ctx.update({message:"Computing surface...",current:A,max:this.size})]:[3,3]):[3,4];case 2:t.sent(),t.label=3;case 3:return e++,this.edgeFilter&=-5,[3,1];case 4:return[2]}}))}))},A.prototype.slice=function(A){this.edgeFilter|=2;for(var e=this.minY;e<this.maxY;e++,this.edgeFilter&=-3){this.edgeFilter|=1;for(var t=this.minX;t<this.maxX;t++,this.edgeFilter&=-2)this.state.processCell(t,e,A,this.edgeFilter)}this.state.clearEdgeVertexIndexSlice(A)},A.prototype.run=function(){return F(this,void 0,void 0,(function(){return U(this,(function(A){switch(A.label){case 0:return[4,this.doSlices()];case 1:return A.sent(),[2]}}))}))},A}(),_4=function(){function A(A,e){this.builder=A,this.vertList=[0,0,0,0,0,0,0,0,0,0,0,0],this.i=0,this.j=0,this.k=0;var t=e.scalarField.space.dimensions;this.nX=t[0],this.nY=t[1],this.nZ=t[2],this.isoLevel=e.isoLevel,this.scalarFieldGet=e.scalarField.space.get,this.scalarField=e.scalarField.data,e.idField&&(this.idField=e.idField.data,this.idFieldGet=e.idField.space.get),this.verticesOnEdges=new Int32Array(3*this.nX*this.nY*2)}return A.prototype.get3dOffsetFromEdgeInfo=function(A){return this.nX*((this.k+A.k)%2*this.nY+this.j+A.j)+this.i+A.i},A.prototype.clearEdgeVertexIndexSlice=function(A){var e=A%2==0?0:3*this.nX*this.nY,t=A%2==0?3*this.nX*this.nY:this.verticesOnEdges.length;this.verticesOnEdges.fill(0,e,t)},A.prototype.interpolate=function(A){var e=N4[A],t=3*this.get3dOffsetFromEdgeInfo(e)+e.e,r=this.verticesOnEdges[t];if(r>0)return r-1;var n=this.scalarField,i=this.scalarFieldGet,o=S4[A],a=o.a,s=o.b,u=a.i+this.i,g=a.j+this.j,c=a.k+this.k,B=s.i+this.i,l=s.j+this.j,Q=s.k+this.k,I=i(n,u,g,c),d=i(n,B,l,Q),h=(this.isoLevel-I)/(I-d);if(this.idField){var E=this.idFieldGet(this.idField,u,g,c),f=this.idFieldGet(this.idField,B,l,Q),C=h<.5?E:f;if(-1===C&&(C=h<.5?f:E),-2===C)return-1;this.builder.addGroup(C)}else this.builder.addGroup(0);var p=this.builder.addVertex(u+h*(u-B),g+h*(g-l),c+h*(c-Q));this.verticesOnEdges[t]=p+1;var m=i(n,Math.max(0,u-1),g,c)-i(n,Math.min(this.nX-1,u+1),g,c),y=i(n,u,Math.max(0,g-1),c)-i(n,u,Math.min(this.nY-1,g+1),c),v=i(n,u,g,Math.max(0,c-1))-i(n,u,g,Math.min(this.nZ,c+1)),D=m+h*(m-(i(n,Math.max(0,B-1),l,Q)-i(n,Math.min(this.nX-1,B+1),l,Q))),b=y+h*(y-(i(n,B,Math.max(0,l-1),Q)-i(n,B,Math.min(this.nY-1,l+1),Q))),w=v+h*(v-(i(n,B,l,Math.max(0,Q-1))-i(n,B,l,Math.min(this.nZ-1,Q+1))));return this.isoLevel>=0?this.builder.addNormal(D,b,w):this.builder.addNormal(-D,-b,-w),p},A.prototype.get=function(A,e,t){return this.scalarFieldGet(this.scalarField,A,e,t)},A.prototype.processCell=function(A,e,t,r){var n=0;if(this.get(A,e,t)<this.isoLevel&&(n|=1),this.get(A+1,e,t)<this.isoLevel&&(n|=2),this.get(A+1,e+1,t)<this.isoLevel&&(n|=4),this.get(A,e+1,t)<this.isoLevel&&(n|=8),this.get(A,e,t+1)<this.isoLevel&&(n|=16),this.get(A+1,e,t+1)<this.isoLevel&&(n|=32),this.get(A+1,e+1,t+1)<this.isoLevel&&(n|=64),this.get(A,e+1,t+1)<this.isoLevel&&(n|=128),0!==n&&255!==n){this.i=A,this.j=e,this.k=t;var i=R4[n];(1&i)>0&&(this.vertList[0]=this.interpolate(0)),(2&i)>0&&(this.vertList[1]=this.interpolate(1)),(4&i)>0&&(this.vertList[2]=this.interpolate(2)),(8&i)>0&&(this.vertList[3]=this.interpolate(3)),(16&i)>0&&(this.vertList[4]=this.interpolate(4)),(32&i)>0&&(this.vertList[5]=this.interpolate(5)),(64&i)>0&&(this.vertList[6]=this.interpolate(6)),(128&i)>0&&(this.vertList[7]=this.interpolate(7)),(256&i)>0&&(this.vertList[8]=this.interpolate(8)),(512&i)>0&&(this.vertList[9]=this.interpolate(9)),(1024&i)>0&&(this.vertList[10]=this.interpolate(10)),(2048&i)>0&&(this.vertList[11]=this.interpolate(11));for(var o=H4[n],a=0;a<o.length;a+=3){var s=o[a],u=o[a+1],g=o[a+2];this.isoLevel>=0?this.builder.addTriangle(this.vertList,s,u,g,r):this.builder.addTriangle(this.vertList,g,u,s,r)}}},A}();function V4(A,e){var t,r,n,i,o,a,s,u,g=A.defaultProps,c=A.createGeometry,B=A.createLocationIterator,l=A.getLoci,Q=A.eachLocation,I=A.setUpdateState,d=A.mustRecreate,h=A.dispose,E=A.geometryUtils,f=E.updateValues,C=E.updateBoundingSphere,p=E.updateRenderableState,m=E.createPositionIterator,y=TN.create(),v=Object.assign({},g),D=wN.createEmpty(),b=-1;function w(A){if(y.createNew){if(s=B(i),!A)throw new Error("expected geometry to be given");t=function(A,e,t,r,n,i){var o=kv.getUtils(e),a=o.createValues,s=o.createRenderableState,u=a(e,Fr(),t,r,n),g=s(n);return fb(e.kind,u,g,i)}(0,A,s,n,r,e),u=m(A,t.values)}else{if(!t)throw new Error("expected renderObject to be available");if(s.reset(),y.createGeometry){if(!A)throw new Error("expected geometry to be given");Y.updateIfChanged(t.values.drawCount,kv.getDrawCount(A)),Y.updateIfChanged(t.values.uVertexCount,kv.getVertexCount(A))}(y.updateTransform||y.createGeometry)&&(C(t.values,A||a),u=m(A||a,t.values)),y.updateSize&&"uSize"in t.values&&Cp(s,n.size,t.values),y.updateColor&&Jv(s,u,n.color,t.values),f(t.values,r),p(t.state,r)}v=r,D=n,o=i,A&&(a=A,b+=1)}function S(A,e){return _N(A)?e(qr.ofBounds(0,s.groupCount*s.instanceCount)):Q(A,o,v,e)}return{get groupCount(){return s?s.count:0},get renderObject(){return t},get geometryVersion(){return b},createOrUpdate:function(A,e,s,u){return void 0===s&&(s={}),F(this,void 0,void 0,(function(){var g;return U(this,(function(B){return function(A,e,a){if(!a&&!o)throw new Error("missing volume");r=Object.assign({},v,e),n=A,i=a,TN.reset(y),t&&o&&Ly.areEquivalent(i,o)||(y.createNew=!0),y.createNew?y.createGeometry=!0:(I(y,a,r,v,n,D),EN.areEqual(A.color,D.color)||(y.updateColor=!0),y.createGeometry&&(y.updateColor=!0))}(e,s,u||o),y.createGeometry?[2,LN(g=c(A,i,n,r,a))?g.then(w):w(g)]:(w(),[2])}))}))},getLoci:function(A){return t?l(A,o,v,t.id):PN},mark:function(A,e){return QR.mark(t,A,e,S)},setVisibility:function(A){QR.setVisibility(t,A)},setAlphaFactor:function(A){QR.setAlphaFactor(t,A)},setPickable:function(A){QR.setPickable(t,A)},setColorOnly:function(A){QR.setColorOnly(t,A)},setTransform:function(A,e){QR.setTransform(t,A,e)},setOverpaint:function(A){return QR.setOverpaint(t,A,S,!0)},setTransparency:function(A){return QR.setTransparency(t,A,S,!0)},setSubstance:function(A){return QR.setSubstance(t,A,S,!0)},setClipping:function(A){return QR.setClipping(t,A,S,!0)},destroy:function(){null==h||h(a),t&&(t.state.disposed=!0,t=void 0)},mustRecreate:d}}function T4(A,e,t,r,n){var i,o,a,s,u=0,g=e.webgl,c=new Sh,B=new vR.GeometryState,l=Eb(),Q=[],I=vR.createState(),d=wN.createEmpty();return{label:A,get groupCount(){return i?i.groupCount:0},get props(){return s},get params(){return a},get state(){return I},get theme(){return d},get geometryVersion(){return B.version},renderObjects:Q,updated:c,createOrUpdate:function(A,n){var I=this;void 0===A&&(A={}),n&&n!==o&&(a=t(e,n),o=n,s||(s=ir.getDefaultValues(a)));var h=WN(Object.assign({},s,A),o);return Object.assign(s,A,h),Pe.create("Creating or updating VolumeRepresentation",(function(A){return F(I,void 0,void 0,(function(){var e,t;return U(this,(function(a){switch(a.label){case 0:return i?(null===(t=i.mustRecreate)||void 0===t?void 0:t.call(i,o,s,g))&&(i.destroy(),i=r(l,o,s,g)):i=r(l,o,s,g),(e=i.createOrUpdate({webgl:g,runtime:A},d,s,n))?[4,e]:[3,2];case 1:a.sent(),a.label=2;case 2:return Q.length=0,i&&i.renderObject&&(Q.push(i.renderObject),B.add(i.renderObject.id,i.geometryVersion)),B.snapshot(),c.next(u++),[2]}}))}))}))},setState:function(A){void 0!==A.visible&&i&&i.setVisibility(A.visible),void 0!==A.alphaFactor&&i&&i.setAlphaFactor(A.alphaFactor),void 0!==A.pickable&&i&&i.setPickable(A.pickable),void 0!==A.overpaint&&i&&i.setOverpaint(A.overpaint),void 0!==A.transparency&&i&&i.setTransparency(A.transparency),void 0!==A.transform&&i&&i.setTransform(A.transform),vR.updateState(I,A)},setTheme:function(A){d=A},getLoci:function(A){return void 0===A?n(o,s):i?i.getLoci(A):PN},mark:function(A,e){return!!i&&i.mark(A,e)},destroy:function(){i&&i.destroy()}}}w({},Ki.Params);var P4=w(w({},Fv),{tTexture:ev("texture","rgba","float","nearest")});var J4,O4,K4=new Uint8Array(4),j4=new Int32Array(4),z4=w(w({},Fv),{tInputLevel:ev("texture","rgba","float","nearest"),tPreviousLevel:ev("texture","rgba","float","nearest"),uSize:Av("f"),uTexSize:Av("f"),uFirst:Av("b")}),q4="histogram-pyramid";function Z4(A,e){var t=Math.pow(2,e),r="level".concat(e),n=A.isWebGL2?X4(r,A,"image-int32","alpha","int","nearest"):X4(r,A,"image-uint8","rgba","ubyte","nearest");n.define(t,t);var i=function(A,e){var t="".concat(q4,"-").concat(A);return e.namedFramebuffers[t]}(r,A);return i||(i=W4(r,A),n.attachFramebuffer(i,0)),{texture:n,framebuffer:i}}function W4(A,e){var t="".concat(q4,"-").concat(A);return e.namedFramebuffers[t]||(e.namedFramebuffers[t]=e.resources.framebuffer()),e.namedFramebuffers[t]}function X4(A,e,t,r,n,i){var o="".concat(q4,"-").concat(A);return e.namedTextures[o]||(e.namedTextures[o]=e.resources.texture(t,r,n,i)),e.namedTextures[o]}function $4(A,e,t,r){var n=A.gl,i=e.getWidth();if(i!==e.getHeight()||!function(A){return 0!==A&&0==(A&A-1)}(i))throw new Error("inputTexture must be of square power-of-two size");var o=Math.ceil(Math.log(i)/Math.log(2)),a=Math.pow(2,o),s=Math.pow(2,o),u=Math.pow(2,o-1),g=A.isWebGL2?X4("pyramid",A,"image-int32","alpha","int","nearest"):X4("pyramid",A,"image-uint8","rgba","ubyte","nearest");g.define(s,u);var c=W4("pyramid",A);g.attachFramebuffer(c,0),n.viewport(0,0,s,u),Gm(n)?n.clearBufferiv(n.COLOR,0,[0,0,0,0]):n.clear(n.COLOR_BUFFER_BIT);for(var B=[],l=0;l<o;++l)B.push(Z4(A,l));var Q=function(A,e,t){if(A.namedComputeRenderables["histogram-pyramid"]){var r=A.namedComputeRenderables["histogram-pyramid"].values;Y.update(r.tInputLevel,e),Y.update(r.tPreviousLevel,t),A.namedComputeRenderables["histogram-pyramid"].update()}else A.namedComputeRenderables["histogram-pyramid"]=function(A,e,t){var r=w(w({},Uv),{tInputLevel:Y.create(e),tPreviousLevel:Y.create(t),uSize:Y.create(0),uTexSize:Y.create(0),uFirst:Y.create(!0)}),n=w({},z4);return bv(mv(A,"triangles",_p("reduction",dv,"\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\nuniform sampler2D tInputLevel;\n\n// previous level used to evaluate the new level\n#if __VERSION__ == 100\n    uniform sampler2D tPreviousLevel;\n#else\n    precision highp isampler2D;\n    uniform isampler2D tPreviousLevel;\n#endif\n\n// inverted size of the previous level texture.\nuniform float uSize;\nuniform float uTexSize;\nuniform bool uFirst;\n\n#include common\n\nvoid main(void) {\n    float k = 0.5 * uSize;\n    vec2 position = floor((gl_FragCoord.xy / uTexSize) / uSize) * uSize;\n\n    #if __VERSION__ == 100\n        float a, b, c, d;\n\n        if (uFirst) {\n            a = texture2D(tInputLevel, position).r * 255.0;\n            b = texture2D(tInputLevel, position + vec2(k, 0.0)).r * 255.0;\n            c = texture2D(tInputLevel, position + vec2(0.0, k)).r * 255.0;\n            d = texture2D(tInputLevel, position + vec2(k, k)).r * 255.0;\n        } else {\n            a = decodeFloatRGB(texture2D(tPreviousLevel, position).rgb);\n            b = decodeFloatRGB(texture2D(tPreviousLevel, position + vec2(k, 0.0)).rgb);\n            c = decodeFloatRGB(texture2D(tPreviousLevel, position + vec2(0.0, k)).rgb);\n            d = decodeFloatRGB(texture2D(tPreviousLevel, position + vec2(k, k)).rgb);\n        }\n        gl_FragColor = vec4(encodeFloatRGB(a + b + c + d), 1.0);\n    #else\n        int a, b, c, d;\n\n        if (uFirst) {\n            a = int(texture2D(tInputLevel, position).r * 255.0);\n            b = int(texture2D(tInputLevel, position + vec2(k, 0.0)).r * 255.0);\n            c = int(texture2D(tInputLevel, position + vec2(0.0, k)).r * 255.0);\n            d = int(texture2D(tInputLevel, position + vec2(k, k)).r * 255.0);\n        } else {\n            a = texture2D(tPreviousLevel, position).r;\n            b = texture2D(tPreviousLevel, position + vec2(k, 0.0)).r;\n            c = texture2D(tPreviousLevel, position + vec2(0.0, k)).r;\n            d = texture2D(tPreviousLevel, position + vec2(k, k)).r;\n        }\n        gl_FragColor = ivec4(a + b + c + d);\n    #endif\n}\n",{},{0:"ivec4"}),n,r),r)}(A,e,t);return A.namedComputeRenderables["histogram-pyramid"]}(A,e,B[0].texture);A.state.currentRenderItemId=-1,function(A){var e=A.gl,t=A.state;t.disable(e.CULL_FACE),t.disable(e.BLEND),t.disable(e.DEPTH_TEST),t.enable(e.SCISSOR_TEST),t.depthMask(!1),t.colorMask(!0,!0,!0,!0),t.clearColor(0,0,0,0)}(A);var I=0;for(l=0;l<o;l++){var d=o-1-l;B[d].framebuffer.bind();var h=Math.pow(2,d);Y.update(Q.values.uSize,Math.pow(2,l+1)/a),Y.update(Q.values.uTexSize,h),Y.updateIfChanged(Q.values.uFirst,0===l),l>0&&(Y.update(Q.values.tPreviousLevel,B[o-l].texture),Q.update()),A.state.currentRenderItemId=-1,n.viewport(0,0,h,h),n.scissor(0,0,h,h),Gm(n)?n.clearBufferiv(n.COLOR,0,[0,0,0,0]):n.clear(n.COLOR_BUFFER_BIT),n.scissor(0,0,r[0],r[1]),Q.render(),g.bind(0),n.copyTexSubImage2D(n.TEXTURE_2D,0,I,0,0,0,h,h),g.unbind(0),I+=h}n.finish();var E=Math.max(1,function(A,e){var t=A.gl,r=A.resources,n=function(A,e){if(A.namedComputeRenderables["histopyramid-sum"]){var t=A.namedComputeRenderables["histopyramid-sum"].values;Y.update(t.tTexture,e),A.namedComputeRenderables["histopyramid-sum"].update()}else A.namedComputeRenderables["histopyramid-sum"]=function(A,e){var t=w(w({},Uv),{tTexture:Y.create(e)}),r=w({},P4);return bv(mv(A,"triangles",_p("sum",dv,"\nprecision highp float;\nprecision highp int;\n\n#if __VERSION__ == 100\n    precision highp sampler2D;\n    uniform sampler2D tTexture;\n#else\n    precision highp isampler2D;\n    uniform isampler2D tTexture;\n#endif\n\nvoid main(void) {\n    #if __VERSION__ == 100\n        gl_FragColor = texture2D(tTexture, vec2(0.5));\n    #else\n        gl_FragColor = ivec4(texture2D(tTexture, vec2(0.5)).r);\n    #endif\n}\n",{},{0:"ivec4"}),r,t),t)}(A,e);return A.namedComputeRenderables["histopyramid-sum"]}(A,e);A.state.currentRenderItemId=-1,A.namedFramebuffers["histopyramid-sum"]||(A.namedFramebuffers["histopyramid-sum"]=r.framebuffer());var i=A.namedFramebuffers["histopyramid-sum"];return A.namedTextures["histopyramid-sum"]||(A.namedTextures["histopyramid-sum"]=Gm(t)?r.texture("image-int32","rgba","int","nearest"):r.texture("image-uint8","rgba","ubyte","nearest"),A.namedTextures["histopyramid-sum"].define(1,1)),A.namedTextures["histopyramid-sum"].attachFramebuffer(i,0),function(A){var e=A.gl,t=A.state;t.disable(e.CULL_FACE),t.disable(e.BLEND),t.disable(e.DEPTH_TEST),t.disable(e.SCISSOR_TEST),t.depthMask(!1),t.colorMask(!0,!0,!0,!0),t.clearColor(0,0,0,0)}(A),t.viewport(0,0,1,1),n.render(),t.finish(),A.readPixels(0,0,1,1,Gm(t)?j4:K4),A.unbindFramebuffer(),Gm(t)?j4[0]:Ip(K4[0],K4[1],K4[2])}(A,B[0].texture));return{pyramidTex:g,count:E,height:Math.ceil(E/Math.pow(2,o)),levels:o,scale:t}}function A6(){if(void 0!==J4)return J4;for(var A=(J4=OC(256,1,Uint8Array)).array,e=0,t=H4.length;e<t;++e)A[e]=H4[e].length/3;return J4}function e6(){if(void 0!==O4)return O4;for(var A=(O4=OC(4096,1,Uint8Array)).array,e=0,t=H4.length;e<t;++e)for(var r=0;r<16;++r)r<H4[e].length?A[16*e+r]=H4[e][r]:A[16*e+r]=255;return O4}var t6=w(w({},Fv),{tTriCount:ev("image-uint8","alpha","ubyte","nearest"),tVolumeData:ev("texture","rgba","ubyte","nearest"),uIsoValue:Av("f"),uGridDim:Av("v3"),uGridTexDim:Av("v3"),uScale:Av("v2")});var r6=w(w({},Fv),{tTriIndices:ev("image-uint8","alpha","ubyte","nearest"),tActiveVoxelsPyramid:ev("texture","rgba","float","nearest"),tActiveVoxelsBase:ev("texture","rgba","float","nearest"),tVolumeData:ev("texture","rgba","ubyte","nearest"),uIsoValue:Av("f"),uSize:Av("f"),uLevels:Av("f"),uCount:Av("f"),uInvert:Av("b"),uGridDim:Av("v3"),uGridTexDim:Av("v3"),uGridTransform:Av("m4"),uScale:Av("v2"),dPackedGroup:rv("boolean")});function n6(A,e,t,r,n,i,o,a,s,u,g,c){var B=function(A,e,t,r,n,i){var o=A.gl,a=A.resources,s=e.getWidth(),u=e.getHeight();A.namedFramebuffers["active-voxels"]||(A.namedFramebuffers["active-voxels"]=a.framebuffer());var g=A.namedFramebuffers["active-voxels"];g.bind(),A.namedTextures["active-voxels"]||(A.namedTextures["active-voxels"]=a.texture("image-uint8","rgba","ubyte","nearest"));var c=A.namedTextures["active-voxels"];c.define(s,u);var B=function(A,e,t,r,n,i){if(A.namedComputeRenderables["active-voxels"]){var o=A.namedComputeRenderables["active-voxels"].values;Y.update(o.uQuadScale,i),Y.update(o.tVolumeData,e),Y.updateIfChanged(o.uIsoValue,n),Y.update(o.uGridDim,t),Y.update(o.uGridTexDim,r),Y.update(o.uScale,i),A.namedComputeRenderables["active-voxels"].update()}else A.namedComputeRenderables["active-voxels"]=function(A,e,t,r,n,i){var o=w(w({},Uv),{tTriCount:Y.create(A6()),uQuadScale:Y.create(i),tVolumeData:Y.create(e),uIsoValue:Y.create(n),uGridDim:Y.create(t),uGridTexDim:Y.create(r),uScale:Y.create(i)}),a=w({},t6);return bv(mv(A,"triangles",_p("active-voxels",dv,"\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\nuniform sampler2D tTriCount;\nuniform sampler2D tVolumeData;\n\nuniform float uIsoValue;\nuniform vec3 uGridDim;\nuniform vec3 uGridTexDim;\nuniform vec2 uScale;\n\n#include common\n\n// cube corners (excluding origin)\nconst vec3 c1 = vec3(1., 0., 0.);\nconst vec3 c2 = vec3(1., 1., 0.);\nconst vec3 c3 = vec3(0., 1., 0.);\nconst vec3 c4 = vec3(0., 0., 1.);\nconst vec3 c5 = vec3(1., 0., 1.);\nconst vec3 c6 = vec3(1., 1., 1.);\nconst vec3 c7 = vec3(0., 1., 1.);\n\nvec3 index3dFrom2d(vec2 coord) {\n    vec2 gridTexPos = coord * uGridTexDim.xy;\n    vec2 columnRow = ivec2Div(gridTexPos, uGridDim.xy);\n    vec2 posXY = gridTexPos - columnRow * uGridDim.xy;\n    float posZ = columnRow.y * intDiv(uGridTexDim.x, uGridDim.x) + columnRow.x;\n    return vec3(posXY, posZ);\n}\n\nvec4 texture3dFrom2dNearest(sampler2D tex, vec3 pos, vec3 gridDim, vec2 texDim) {\n    float zSlice = floor(pos.z * gridDim.z + 0.5); // round to nearest z-slice\n    float column = intDiv(intMod(zSlice * gridDim.x, texDim.x), gridDim.x);\n    float row = intDiv(zSlice * gridDim.x, texDim.x);\n    vec2 coord = (vec2(column * gridDim.x, row * gridDim.y) + (pos.xy * gridDim.xy)) / (texDim / uScale);\n    return texture2D(tex, coord);\n}\n\nvec4 voxel(vec3 pos) {\n    pos = min(max(vec3(0.0), pos), uGridDim - vec3(1.0));\n    return texture3dFrom2dNearest(tVolumeData, pos / uGridDim, uGridDim, uGridTexDim.xy);\n}\n\nvoid main(void) {\n    vec2 uv = gl_FragCoord.xy / uGridTexDim.xy;\n    vec3 posXYZ = index3dFrom2d(uv);\n\n    // get MC case as the sum of corners that are below the given iso level\n    float c = step(voxel(posXYZ).a, uIsoValue)\n        + 2. * step(voxel(posXYZ + c1).a, uIsoValue)\n        + 4. * step(voxel(posXYZ + c2).a, uIsoValue)\n        + 8. * step(voxel(posXYZ + c3).a, uIsoValue)\n        + 16. * step(voxel(posXYZ + c4).a, uIsoValue)\n        + 32. * step(voxel(posXYZ + c5).a, uIsoValue)\n        + 64. * step(voxel(posXYZ + c6).a, uIsoValue)\n        + 128. * step(voxel(posXYZ + c7).a, uIsoValue);\n    c *= step(c, 254.);\n\n    // handle out of bounds positions\n    posXYZ += 1.0;\n    posXYZ.xy += 1.0; // pixel padding (usually ok even if the texture has no padding)\n    if (posXYZ.x >= uGridDim.x || posXYZ.y >= uGridDim.y || posXYZ.z >= uGridDim.z)\n        c = 0.0;\n\n    // get total triangles to generate for calculated MC case from triCount texture\n    float totalTrianglesToGenerate = texture2D(tTriCount, vec2(intMod(c, 16.), floor(c / 16.)) / 16.).a;\n    gl_FragColor = vec4(vec3(totalTrianglesToGenerate * 3.0), c / 255.0);\n}\n"),a,o),o)}(A,e,t,r,n,i);return A.namedComputeRenderables["active-voxels"]}(A,e,t,r,n,i);return A.state.currentRenderItemId=-1,c.attachFramebuffer(g,0),function(A){var e=A.gl,t=A.state;t.disable(e.CULL_FACE),t.disable(e.BLEND),t.disable(e.DEPTH_TEST),t.enable(e.SCISSOR_TEST),t.depthMask(!1),t.colorMask(!0,!0,!0,!0),t.clearColor(0,0,0,0)}(A),o.viewport(0,0,s,u),o.scissor(0,0,s,u),o.clear(o.COLOR_BUFFER_BIT),o.scissor(0,0,r[0],r[1]),B.render(),o.finish(),c}(A,e,t,r,o,n),l=function(A,e,t,r,n,i,o,a,s,u,g,c,B){var l=A.extensions.drawBuffers;if(!l)throw new Error("need WebGL draw buffers");var Q=A.gl,I=A.resources,d=A.extensions,h=r.pyramidTex,E=r.height,f=r.levels,C=r.scale,p=r.count,m=h.getWidth();A.namedFramebuffers.isosurface||(A.namedFramebuffers.isosurface=I.framebuffer());var y=A.namedFramebuffers.isosurface;Gm(Q)?(g||(g=d.colorBufferHalfFloat&&d.textureHalfFloat?I.texture("image-float16","rgba","fp16","nearest"):I.texture("image-float32","rgba","float","nearest")),c||(c=I.texture("image-uint8","rgba","ubyte","nearest")),B||(B=d.colorBufferHalfFloat&&d.textureHalfFloat?I.texture("image-float16","rgba","fp16","nearest"):I.texture("image-float32","rgba","float","nearest"))):(g||(g=I.texture("image-float32","rgba","float","nearest")),c||(c=I.texture("image-float32","rgba","float","nearest")),B||(B=I.texture("image-float32","rgba","float","nearest"))),g.define(m,E),c.define(m,E),B.define(m,E),g.attachFramebuffer(y,0),c.attachFramebuffer(y,1),B.attachFramebuffer(y,2);var v=function(A,e,t,r,n,i,o,a,s,u,g,c,B){if(A.namedComputeRenderables.isosurface){var l=A.namedComputeRenderables.isosurface.values;Y.update(l.tActiveVoxelsPyramid,e),Y.update(l.tActiveVoxelsBase,t),Y.update(l.tVolumeData,r),Y.updateIfChanged(l.uIsoValue,a),Y.updateIfChanged(l.uSize,Math.pow(2,s)),Y.updateIfChanged(l.uLevels,s),Y.updateIfChanged(l.uCount,g),Y.updateIfChanged(l.uInvert,c),Y.update(l.uGridDim,n),Y.update(l.uGridTexDim,i),Y.update(l.uGridTransform,o),Y.update(l.uScale,u),Y.update(l.dPackedGroup,B),A.namedComputeRenderables.isosurface.update()}else A.namedComputeRenderables.isosurface=function(A,e,t,r,n,i,o,a,s,u,g,c,B){var l=w(w({},Uv),{tTriIndices:Y.create(e6()),tActiveVoxelsPyramid:Y.create(e),tActiveVoxelsBase:Y.create(t),tVolumeData:Y.create(r),uIsoValue:Y.create(a),uSize:Y.create(Math.pow(2,s)),uLevels:Y.create(s),uCount:Y.create(g),uInvert:Y.create(c),uGridDim:Y.create(n),uGridTexDim:Y.create(i),uGridTransform:Y.create(o),uScale:Y.create(u),dPackedGroup:Y.create(B)}),Q=w({},r6);return bv(mv(A,"triangles",_p("isosurface",dv,"\nprecision highp float;\nprecision highp int;\nprecision highp sampler2D;\n\n#if __VERSION__ == 100\n    uniform sampler2D tActiveVoxelsPyramid;\n#else\n    precision highp isampler2D;\n    uniform isampler2D tActiveVoxelsPyramid;\n#endif\n\nuniform sampler2D tActiveVoxelsBase;\nuniform sampler2D tVolumeData;\nuniform sampler2D tTriIndices;\n\nuniform float uIsoValue;\nuniform float uLevels;\nuniform float uSize;\nuniform float uCount;\nuniform bool uInvert;\n\nuniform vec3 uGridDim;\nuniform vec3 uGridTexDim;\nuniform mat4 uGridTransform;\n\n// scale to volume data coord\nuniform vec2 uScale;\n\n#include common\n\n// cube corners (excluding origin)\nconst vec3 c1 = vec3(1., 0., 0.);\nconst vec3 c2 = vec3(1., 1., 0.);\nconst vec3 c3 = vec3(0., 1., 0.);\nconst vec3 c4 = vec3(0., 0., 1.);\nconst vec3 c5 = vec3(1., 0., 1.);\nconst vec3 c6 = vec3(1., 1., 1.);\nconst vec3 c7 = vec3(0., 1., 1.);\n\nvec3 index3dFrom2d(vec2 coord) {\n    vec2 gridTexPos = coord * uGridTexDim.xy;\n    vec2 columnRow = ivec2Div(gridTexPos, uGridDim.xy);\n    vec2 posXY = gridTexPos - columnRow * uGridDim.xy;\n    float posZ = columnRow.y * intDiv(uGridTexDim.x, uGridDim.x) + columnRow.x;\n    return vec3(posXY, posZ);\n}\n\nvec4 texture3dFrom2dNearest(sampler2D tex, vec3 pos, vec3 gridDim, vec2 texDim) {\n    float zSlice = floor(pos.z * gridDim.z + 0.5); // round to nearest z-slice\n    float column = intDiv(intMod(zSlice * gridDim.x, texDim.x), gridDim.x);\n    float row = intDiv(zSlice * gridDim.x, texDim.x);\n    vec2 coord = (vec2(column * gridDim.x, row * gridDim.y) + (pos.xy * gridDim.xy)) / (texDim / uScale);\n    return texture2D(tex, coord + 0.5 / (texDim / uScale));\n}\n\nvec4 voxel(vec3 pos) {\n    pos = min(max(vec3(0.0), pos), uGridDim - vec3(1.0));\n    return texture3dFrom2dNearest(tVolumeData, pos / uGridDim, uGridDim, uGridTexDim.xy);\n}\n\nvec4 voxelPadded(vec3 pos) {\n    pos = min(max(vec3(0.0), pos), uGridDim - vec3(vec2(2.0), 1.0)); // remove xy padding\n    return texture3dFrom2dNearest(tVolumeData, pos / uGridDim, uGridDim, uGridTexDim.xy);\n}\n\nint idot2(const in ivec2 a, const in ivec2 b) {\n    return a.x * b.x + a.y * b.y;\n}\n\nint idot4(const in ivec4 a, const in ivec4 b) {\n    return a.x * b.x + a.y * b.y + a.z * b.z + a.w * b.w;\n}\n\n#if __VERSION__ == 100\n    int pyramidVoxel(vec2 pos) {\n        return int(decodeFloatRGB(texture2D(tActiveVoxelsPyramid, pos / (vec2(1.0, 0.5) * uSize)).rgb));\n    }\n#else\n    int pyramidVoxel(vec2 pos) {\n        return texture2D(tActiveVoxelsPyramid, pos / (vec2(1.0, 0.5) * uSize)).r;\n    }\n#endif\n\nvec4 baseVoxel(vec2 pos) {\n    return texture2D(tActiveVoxelsBase, pos / uSize);\n}\n\nvoid main(void) {\n    // get 1D index\n    int vI = int(gl_FragCoord.x) + int(gl_FragCoord.y) * int(uSize);\n\n    // ignore 1D indices outside of the grid\n    if(vI >= int(uCount)) discard;\n\n    ivec2 offset = ivec2(int(uSize) - 2, 0);\n\n    int start = 0;\n    ivec4 starts = ivec4(0);\n    ivec4 ends = ivec4(0);\n    int diff = 2;\n    ivec4 m = ivec4(0);\n    ivec2 position = ivec2(0);\n    ivec4 vI4 = ivec4(vI);\n\n    ivec2 relativePosition = ivec2(0);\n    int end = 0;\n    ivec2 pos1 = ivec2(0);\n    ivec2 pos2 = ivec2(0);\n    ivec2 pos3 = ivec2(0);\n    ivec2 pos4 = ivec2(0);\n    ivec3 vI3 = ivec3(vI);\n    ivec3 mask = ivec3(0);\n\n    // traverse the different levels of the pyramid\n    for(int i = 1; i < 14; i++) {\n        if(float(i) >= uLevels) break;\n\n        offset.x -= diff;\n        diff *= 2;\n        relativePosition = position + offset;\n\n        end = start + pyramidVoxel(vec2(relativePosition));\n        pos1 = ivec2(relativePosition);\n        starts.x = start;\n        ends.x = end;\n        pos2 = ivec2(relativePosition + ivec2(1, 0));\n        starts.y = ends.x;\n        ends.y = ends.x + pyramidVoxel(vec2(pos2));\n        pos3 = relativePosition + ivec2(0, 1);\n        starts.z = ends.y;\n        ends.z = ends.y + pyramidVoxel(vec2(pos3));\n        pos4 = relativePosition + ivec2(1, 1);\n        starts.w = ends.z;\n        mask = ivec3(greaterThanEqual(vI3, starts.rgb)) * ivec3(lessThan(vI3, ends.rgb));\n        m = ivec4(mask, 1 - int(any(bvec3(mask))));\n\n        relativePosition = m.x * pos1 + m.y * pos2 + m.z * pos3 + m.w * pos4;\n        start = idot4(m, starts);\n        position = 2 * (relativePosition - offset);\n    }\n\n    end = start + int(baseVoxel(vec2(position)).r * 255.0);\n    pos1 = position;\n    starts.x = start;\n    ends.x = end;\n    pos2 = position + ivec2(1, 0);\n    starts.y = ends.x;\n    ends.y = ends.x + int(baseVoxel(vec2(pos2)).r * 255.0);\n    pos3 = position + ivec2(0, 1);\n    starts.z = ends.y;\n    ends.z = ends.y + int(baseVoxel(vec2(pos3)).r * 255.0);\n    pos4 = position + ivec2(1, 1);\n    starts.w = ends.z;\n    mask = ivec3(greaterThanEqual(vI3, starts.rgb)) * ivec3(lessThan(vI3, ends.rgb));\n    m = ivec4(mask, 1 - int(any(bvec3(mask))));\n    position = m.x * pos1 + m.y * pos2 + m.z * pos3 + m.w * pos4;\n\n    vec2 coord2d = (vec2(position) / uSize) / uScale;\n    vec3 coord3d = floor(index3dFrom2d(coord2d) + 0.5);\n\n    float edgeIndex = floor(baseVoxel(vec2(position)).a * 255.0 + 0.5);\n\n    // current vertex for the up to 15 MC cases\n    int currentVertex = vI - idot4(m, starts);\n\n    // ensure winding-order is the same for negative and positive iso-levels\n    if (uInvert) {\n        int v = imod(currentVertex + 1, 3);\n        if (v == 1) currentVertex += 2;\n        else if (v == 0) currentVertex -= 2;\n    }\n\n    // get index into triIndices table\n    int mcIndex = 16 * int(edgeIndex) + currentVertex;\n    vec4 mcData = texture2D(tTriIndices, vec2(imod(mcIndex, 64), mcIndex / 64) / 64.);\n\n    // bit mask to avoid conditionals (see comment below) for getting MC case corner\n    vec4 m0 = vec4(floor(mcData.a * 255.0 + 0.5));\n\n    // get edge value masks\n    vec4 m1 = vec4(equal(m0, vec4(0., 1., 2., 3.)));\n    vec4 m2 = vec4(equal(m0, vec4(4., 5., 6., 7.)));\n    vec4 m3 = vec4(equal(m0, vec4(8., 9., 10., 11.)));\n\n    // apply bit masks\n    vec3 b0 = coord3d +\n                m1.y * c1 +\n                m1.z * c2 +\n                m1.w * c3 +\n                m2.x * c4 +\n                m2.y * c5 +\n                m2.z * c6 +\n                m2.w * c7 +\n                m3.y * c1 +\n                m3.z * c2 +\n                m3.w * c3;\n    vec3 b1 = coord3d +\n                m1.x * c1 +\n                m1.y * c2 +\n                m1.z * c3 +\n                m2.x * c5 +\n                m2.y * c6 +\n                m2.z * c7 +\n                m2.w * c4 +\n                m3.x * c4 +\n                m3.y * c5 +\n                m3.z * c6 +\n                m3.w * c7;\n\n    // the conditionals that are avoided by above bitmasks\n    // vec3 b0 = coord3d;\n    // vec3 b1 = coord3d;\n    // if (mcIndex == 0.0) {\n    //     b1 += c1;\n    // } else if (mcIndex == 1.0) {\n    //     b0 += c1; b1 += c2;\n    // } else if (mcIndex == 2.0) {\n    //     b0 += c2; b1 += c3;\n    // } else if (mcIndex == 3.0) {\n    //     b0 += c3;\n    // } else if (mcIndex == 4.0) {\n    //     b0 += c4; b1 += c5;\n    // } else if (mcIndex == 5.0) {\n    //     b0 += c5; b1 += c6;\n    // } else if (mcIndex == 6.0) {\n    //     b0 += c6; b1 += c7;\n    // } else if (mcIndex == 7.0) {\n    //     b0 += c7; b1 += c4;\n    // } else if (mcIndex == 8.0) {\n    //     b1 += c4;\n    // } else if (mcIndex == 9.0) {\n    //     b0 += c1; b1 += c5;\n    // } else if (mcIndex == 10.0) {\n    //     b0 += c2; b1 += c6;\n    // } else if (mcIndex == 11.0) {\n    //     b0 += c3; b1 += c7;\n    // }\n    // b0 = floor(b0 + 0.5);\n    // b1 = floor(b1 + 0.5);\n\n    vec4 d0 = voxel(b0);\n    vec4 d1 = voxel(b1);\n\n    float v0 = d0.a;\n    float v1 = d1.a;\n\n    float t = (uIsoValue - v0) / (v0 - v1);\n    gl_FragData[0].xyz = (uGridTransform * vec4(b0 + t * (b0 - b1), 1.0)).xyz;\n\n    // group id\n    #if __VERSION__ == 100\n        // webgl1 does not support 'flat' interpolation (i.e. no interpolation)\n        // so we ensure a constant group id per triangle here\n        #ifdef dPackedGroup\n            gl_FragData[1] = vec4(voxel(coord3d).rgb, 1.0);\n        #else\n            vec3 gridDim = uGridDim - vec3(1.0, 1.0, 0.0); // remove xy padding\n            float group = coord3d.z + coord3d.y * gridDim.z + coord3d.x * gridDim.z * gridDim.y;\n            gl_FragData[1] = vec4(group > 16777215.5 ? vec3(1.0) : encodeFloatRGB(group), 1.0);\n        #endif\n    #else\n        #ifdef dPackedGroup\n            gl_FragData[1] = vec4(t < 0.5 ? d0.rgb : d1.rgb, 1.0);\n        #else\n            vec3 b = t < 0.5 ? b0 : b1;\n            vec3 gridDim = uGridDim - vec3(1.0, 1.0, 0.0); // remove xy padding\n            float group = b.z + b.y * gridDim.z + b.x * gridDim.z * gridDim.y;\n            gl_FragData[1] = vec4(group > 16777215.5 ? vec3(1.0) : encodeFloatRGB(group), 1.0);\n        #endif\n    #endif\n\n    // normals from gradients\n    vec3 n0 = -normalize(vec3(\n        voxelPadded(b0 - c1).a - voxelPadded(b0 + c1).a,\n        voxelPadded(b0 - c3).a - voxelPadded(b0 + c3).a,\n        voxelPadded(b0 - c4).a - voxelPadded(b0 + c4).a\n    ));\n    vec3 n1 = -normalize(vec3(\n        voxelPadded(b1 - c1).a - voxelPadded(b1 + c1).a,\n        voxelPadded(b1 - c3).a - voxelPadded(b1 + c3).a,\n        voxelPadded(b1 - c4).a - voxelPadded(b1 + c4).a\n    ));\n    gl_FragData[2].xyz = -vec3(\n        n0.x + t * (n0.x - n1.x),\n        n0.y + t * (n0.y - n1.y),\n        n0.z + t * (n0.z - n1.z)\n    );\n\n    // ensure normal-direction is the same for negative and positive iso-levels\n    if (uInvert) {\n        gl_FragData[2].xyz *= -1.0;\n    }\n\n    // apply normal matrix\n    gl_FragData[2].xyz *= transpose3(inverse3(mat3(uGridTransform)));\n}\n",{drawBuffers:"required"}),Q,l),l)}(A,e,t,r,n,i,o,a,s,u,g,c,B);return A.namedComputeRenderables.isosurface}(A,h,e,t,n,i,o,a,f,C,p,s,u);return A.state.currentRenderItemId=-1,y.bind(),l.drawBuffers([l.COLOR_ATTACHMENT0,l.COLOR_ATTACHMENT1,l.COLOR_ATTACHMENT2]),function(A){var e=A.gl,t=A.state;t.disable(e.CULL_FACE),t.disable(e.BLEND),t.disable(e.DEPTH_TEST),t.disable(e.SCISSOR_TEST),t.depthMask(!1),t.colorMask(!0,!0,!0,!0),t.clearColor(0,0,0,0)}(A),Q.viewport(0,0,m,E),Q.clear(Q.COLOR_BUFFER_BIT),v.render(),Q.finish(),{vertexTexture:g,groupTexture:c,normalTexture:B,vertexCount:p}}(A,B,e,$4(A,B,n,r),t,r,i,o,a,s,u,g,c);return l}var i6={isoValue:Ly.IsoValueParam};function o6(A,e){return iR(A.grid.cells.space.dimensions,1).powerOfTwoSize<=e.maxTextureSize/2}function a6(A,e,t,r){return t.tryUseGpu&&r&&function(A){return A.extensions.colorBufferFloat&&A.extensions.textureFloat&&A.extensions.drawBuffers}(r)&&o6(e,r)?function(A){return V4({defaultProps:ir.getDefaultValues(l6),createGeometry:Q6,createLocationIterator:function(A){return ur(A.grid.cells.data.length,1,1,(function(){return ar}))},getLoci:u6,eachLocation:g6,setUpdateState:function(A,e,t,r){Ly.IsoValue.areSame(t.isoValue,r.isoValue,e.grid.stats)||(A.createGeometry=!0)},geometryUtils:Wy.Utils,mustRecreate:function(A,e,t){return!e.tryUseGpu||!t||!o6(A,t)},dispose:function(A){A.vertexTexture.ref.value.destroy(),A.groupTexture.ref.value.destroy(),A.normalTexture.ref.value.destroy(),A.doubleBuffer.destroy()}},A)}(A):function(A){return V4({defaultProps:ir.getDefaultValues(l6),createGeometry:c6,createLocationIterator:function(A){return ur(A.grid.cells.data.length,1,1,(function(){return ar}))},getLoci:u6,eachLocation:g6,setUpdateState:function(A,e,t,r){Ly.IsoValue.areSame(t.isoValue,r.isoValue,e.grid.stats)||(A.createGeometry=!0)},geometryUtils:Yv.Utils,mustRecreate:function(A,e,t){return e.tryUseGpu&&!!t&&o6(A,t)}},A)}(A)}function s6(A,e){return Ly.Isosurface.Loci(A,e.isoValue)}function u6(A,e,t,r){var n=A.objectId,i=A.groupId;return r===n?Ly.Cell.Loci(e,qr.ofSingleton(i)):PN}function g6(A,e,t,r){return nR(A,e,t.isoValue,r)}function c6(A,e,t,r,n){return F(this,void 0,void 0,(function(){var t,i,o;return U(this,(function(a){switch(a.label){case 0:return A.runtime.update({message:"Marching cubes..."}),t=hr(new Int32Array(e.grid.cells.data.length)),[4,x4({isoLevel:Ly.IsoValue.toAbsolute(r.isoValue,e.grid.stats).absoluteValue,scalarField:e.grid.cells,idField:X.create(e.grid.cells.space,X.Data1(t))},n).runAsChild(A.runtime)];case 1:return i=a.sent(),o=Gy.getGridToCartesianTransform(e.grid),Yv.transform(i,o),A.webgl&&!A.webgl.isWebGL2&&Yv.uniformTriangleGroup(i,!1),i.setBoundingSphere(Ly.getBoundingSphere(e)),[2,i]}}))}))}var B6,l6=w(w(w(w({},Yv.Params),Wy.Params),i6),{quality:w(w({},Yv.Params.quality),{isEssential:!1}),tryUseGpu:ir.Boolean(!0)});function Q6(A,e,t,r,n){return F(this,void 0,void 0,(function(){var t,i,o,a,s,u,g,c,B,l,Q,I,d,h;return U(this,(function(E){if(!A.webgl)throw new Error("webgl context required to create volume isosurface texture-mesh");return t=e.grid.stats,i=t.max,o=t.min,a=i-o,s=Ly.IsoValue.toAbsolute(r.isoValue,e.grid.stats).absoluteValue,u=(s-o)/a,g=B6.get(e,A.webgl),c=g.texture,B=g.gridDimension,l=g.gridTexDim,Q=g.gridTexScale,I=g.transform,d=null==n?void 0:n.doubleBuffer.get(),h=n6(A.webgl,c,B,l,Q,I,u,s<0,!1,null==d?void 0:d.vertex,null==d?void 0:d.group,null==d?void 0:d.normal),[2,Wy.create(h.vertexCount,1,h.vertexTexture,h.groupTexture,h.normalTexture,Ly.getBoundingSphere(e),n)]}))}))}function I6(A,e,t,r,n){return F(this,void 0,void 0,(function(){var t,i,o;return U(this,(function(a){switch(a.label){case 0:return A.runtime.update({message:"Marching cubes..."}),t=hr(new Int32Array(e.grid.cells.data.length)),[4,k4({isoLevel:Ly.IsoValue.toAbsolute(r.isoValue,e.grid.stats).absoluteValue,scalarField:e.grid.cells,idField:X.create(e.grid.cells.space,X.Data1(t))},n).runAsChild(A.runtime)];case 1:return i=a.sent(),o=Gy.getGridToCartesianTransform(e.grid),cy.transform(i,o),i.setBoundingSphere(Ly.getBoundingSphere(e)),[2,i]}}))}))}!function(A){var e="volume-isosurface-texture";A.descriptor=eo({name:e}),A.get=function(t,r){var n=r.resources,i=Gy.getGridToCartesianTransform(t.grid),o=gA.clone(t.grid.cells.space.dimensions),a=iR(o,1),s=a.width,u=a.height,g=a.powerOfTwoSize,c=gA.create(s,u,0),B=BA.create(s/g,u/g);if(g>r.maxTextureSize/2)throw new Error("volume too large for gpu isosurface extraction");if(!t._propertyData[e]){t._propertyData[e]=n.texture("image-uint8","alpha","ubyte","linear");var l=t._propertyData[e];l.define(g,g),l.load(oR(t,"data",1),!0),t.customProperties.add(A.descriptor),t.customProperties.assets(A.descriptor,[{dispose:function(){return l.destroy()}}])}return o[0]+=1,o[1]+=1,{texture:t._propertyData[e],transform:i,gridDimension:o,gridTexDim:c,gridTexScale:B}}}(B6||(B6={}));var d6=w(w(w({},cy.Params),i6),{quality:w(w({},cy.Params.quality),{isEssential:!1}),sizeFactor:ir.Numeric(3,{min:0,max:10,step:.1})});function h6(A){return V4({defaultProps:ir.getDefaultValues(d6),createGeometry:I6,createLocationIterator:function(A){return ur(A.grid.cells.data.length,1,1,(function(){return ar}))},getLoci:u6,eachLocation:g6,setUpdateState:function(A,e,t,r){Ly.IsoValue.areSame(t.isoValue,r.isoValue,e.grid.stats)||(A.createGeometry=!0)},geometryUtils:cy.Utils},A)}var E6={solid:function(A,e){return T4("Isosurface mesh",A,e,a6,s6)},wireframe:function(A,e){return T4("Isosurface wireframe",A,e,h6,s6)}},f6=w(w(w({},l6),d6),{visuals:ir.MultiSelect(["solid"],ir.objectToOptions(E6)),bumpFrequency:ir.Numeric(1,{min:0,max:10,step:.1},Ki.ShadingCategory)}),C6={name:"isosurface",label:"Isosurface",description:"Displays a triangulated isosurface of volumetric data.",factory:function(A,e){return vR.createMulti("Isosurface",A,e,vR.StateBuilder,E6)},getParams:function(A,e){var t=ir.clone(f6);return t.isoValue=Ly.createIsoValueParam(Ly.IsoValue.relative(2),e.grid.stats),t},defaultValues:ir.getDefaultValues(f6),defaultColorTheme:{name:"uniform"},defaultSizeTheme:{name:"uniform"},isApplicable:function(A){return!Ly.isEmpty(A)}};function p6(A,e,t,r,n){return F(this,void 0,void 0,(function(){var A,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w,F,S,N,R,H,G,M,L,x,k,Y,_,V;return U(this,(function(U){for(A=r.dimension.name,i=r.isoValue,o=e.grid.cells,a=o.space,s=o.data,u=e.grid.stats,g=u.min,c=u.max,B=Ly.IsoValue.toAbsolute(i,e.grid.stats).absoluteValue,l=t.color.color(ar,!1),Q=SA.toRgbNormalized(l),I=Q[0],d=Q[1],h=Q[2],E=m6(e.grid,r),f=E.width,C=E.height,p=E.x,m=E.y,y=E.z,v=E.x0,D=E.y0,b=E.z0,w=E.nx,F=E.ny,S=E.nz,N=new Float32Array("x"===A?[p,0,0,p,m,0,p,0,y,p,m,y]:"y"===A?[0,m,0,p,m,0,0,m,y,p,m,y]:[0,0,y,0,m,y,p,0,y,p,m,y]),R=new Uint8Array(f*C*4),H=function(A,e){for(var t=A.cells.space,r=m6(A,e),n=r.width,i=r.height,o=r.x0,a=r.y0,s=r.z0,u=r.nx,g=r.ny,c=r.nz,B=new Uint8Array(n*i*4),l=0,Q=a;Q<g;++Q)for(var I=o;I<u;++I)for(var d=s;d<c;++d)Qp(t.dataOffset(I,Q,d),B,l),l+=4;return B}(e.grid,r),G=0,M=D;M<F;++M)for(L=v;L<w;++L)for(x=b;x<S;++x)k=a.get(s,L,M,x),Y=(k-g)/(c-g),R[G]=I*Y*2*255,R[G+1]=d*Y*2*255,R[G+2]=h*Y*2*255,R[G+3]=k>=B?255:0,G+=4;return _={width:f,height:C,array:R,flipY:!0},V={width:f,height:C,array:H,flipY:!0},xC(Gy.getGridToCartesianTransform(e.grid),N,0,4),[2,Lv.create(_,N,V,n)]}))}))}function m6(A,e){var t,r,n,i,o,a=e.dimension,s=a.name,u=a.params,g=0,c=0,B=0,l=A.cells.space.dimensions,Q=l[0],I=l[1],d=l[2];return"x"===s?(i=I-1,o=d-1,t=d,r=I,Q=(g=n=u)+1):"y"===s?(n=Q-1,o=d-1,t=d,r=Q,I=(c=i=u)+1):(n=Q-1,i=I-1,t=Q,r=I,d=(B=o=u)+1),{width:t,height:r,x:n,y:i,z:o,x0:g,y0:c,z0:B,nx:Q,ny:I,nz:d}}function y6(A,e){var t=function(A,e){for(var t=A.cells.space,r=m6(A,e),n=r.width,i=r.height,o=r.x0,a=r.y0,s=r.z0,u=r.nx,g=r.ny,c=r.nz,B=new Uint32Array(n*i),l=0,Q=a;Q<g;++Q)for(var I=o;I<u;++I)for(var d=s;d<c;++d)B[l]=t.dataOffset(I,Q,d),l+=1;return B}(A.grid,e);return Ly.Cell.Loci(A,kn.ofUnsortedArray(t))}function v6(A,e,t,r){var n=A.objectId,i=A.groupId;return r===n?Ly.Cell.Loci(e,qr.ofSingleton(i)):PN}function D6(A,e,t,r){return nR(A,e,void 0,r)}var b6=w(w({},Lv.Params),{quality:w(w({},Lv.Params.quality),{isEssential:!1}),dimension:ir.MappedStatic("x",{x:ir.Numeric(0,{min:0,max:0,step:1}),y:ir.Numeric(0,{min:0,max:0,step:1}),z:ir.Numeric(0,{min:0,max:0,step:1})},{isEssential:!0}),isoValue:Ly.IsoValueParam});function w6(A){return V4({defaultProps:ir.getDefaultValues(b6),createGeometry:p6,createLocationIterator:function(A){return ur(A.grid.cells.data.length,1,1,(function(){return ar}))},getLoci:v6,eachLocation:D6,setUpdateState:function(A,e,t,r,n,i){A.createGeometry=t.dimension.name!==r.dimension.name||t.dimension.params!==r.dimension.params||!Ly.IsoValue.areSame(t.isoValue,r.isoValue,e.grid.stats)||!EN.areEqual(n.color,i.color)},geometryUtils:w(w({},Lv.Utils),{createRenderableState:function(A){var e=Lv.Utils.createRenderableState(A);return F6(e,A),e},updateRenderableState:F6})},A)}function F6(A,e){Lv.Utils.updateRenderableState(A,e),A.opaque=!1,A.writeDepth=!0}var U6={name:"slice",label:"Slice",description:"Slice of volume rendered as image with interpolation.",factory:function(A,e){return T4("Slice",A,e,w6,y6)},getParams:function(A,e){var t=ir.clone(b6),r=e.grid.cells.space.dimensions;return t.dimension=ir.MappedStatic("x",{x:ir.Numeric(0,{min:0,max:r[0]-1,step:1}),y:ir.Numeric(0,{min:0,max:r[1]-1,step:1}),z:ir.Numeric(0,{min:0,max:r[2]-1,step:1})},{isEssential:!0}),t.isoValue=Ly.createIsoValueParam(Ly.IsoValue.absolute(e.grid.stats.min),e.grid.stats),t},defaultValues:ir.getDefaultValues(b6),defaultColorTheme:{name:"uniform"},defaultSizeTheme:{name:"uniform"},isApplicable:function(A){return!Ly.isEmpty(A)}};function S6(A,e){var t=Ns();return Ns.add(t,A),Ns.transform(t,t,e),t}function N6(A,e,t,r){var n=t.grid.cells.space.dimensions,i=iR(n),o=i.width,a=i.height;if(Math.max(o,a)>e.maxTextureSize/2)throw new Error("volume too large for direct-volume rendering");var s=oR(t,"normals"),u=Gy.getGridToCartesianTransform(t.grid),g=S6(n,u),c=r?r.gridTexture.ref.value:e.resources.texture("image-uint8","rgba","ubyte","linear");c.load(s);var B=R6(t.grid),l=B.unitToCartn,Q=B.cellDim;return qy.create(g,n,u,l,Q,c,t.grid.stats,!1,r)}function R6(A){if("matrix"===A.transform.kind)return{unitToCartn:nA.mul(nA(),A.transform.matrix,nA.fromScaling(nA(),A.cells.space.dimensions)),cellDim:nA.getScaling(gA(),A.transform.matrix)};var e=A.transform.fractionalBox,t=Ns.size(gA(),e);return{unitToCartn:nA.mul3(nA(),A.transform.cell.fromFractional,nA.fromTranslation(nA(),e.min),nA.fromScaling(nA(),t)),cellDim:gA.div(gA(),A.transform.cell.size,A.cells.space.dimensions)}}function H6(A,e,t,r){var n=t.grid.cells.space.dimensions;if(Math.max.apply(Math,n)>e.max3dTextureSize/2)throw new Error("volume too large for direct-volume rendering");var i=function(A){for(var e=A.grid,t=e.cells,r=t.space,n=t.data,i=e.stats,o=i.max,a=i.min,s=r.dimensions,u=s[0],g=s[1],c=s[2],B=r.dataOffset,l=new Uint8Array(u*g*c*4),Q={array:l,width:u,height:g,depth:c},I=o-a,d=gA(),h=gA(),E=u-1,f=g-1,C=c-1,p=0,m=0;m<c;++m)for(var y=0;y<g;++y)for(var v=0;v<u;++v){var D=B(v,y,m);XN(d,n[B(Math.max(0,v-1),y,m)],n[B(v,Math.max(0,y-1),m)],n[B(v,y,Math.max(0,m-1))]),XN(h,n[B(Math.min(E,v+1),y,m)],n[B(v,Math.min(f,y+1),m)],n[B(v,y,Math.min(C,m+1))]),$N(d,AR(d,d,h)),eR(d,tR(d,d,.5),.5),rR(tR(d,d,255),l,p),l[p+3]=Math.round((n[D]-a)/I*255),p+=4}return Q}(t),o=Gy.getGridToCartesianTransform(t.grid),a=S6(n,o),s=r?r.gridTexture.ref.value:e.resources.texture("volume-uint8","rgba","ubyte","linear");s.load(i);var u=R6(t.grid),g=u.unitToCartn,c=u.cellDim;return qy.create(a,n,o,g,c,s,t.grid.stats,!1,r)}function G6(A,e,t,r,n){return F(this,void 0,void 0,(function(){var t;return U(this,(function(r){if(A.runtime,void 0===(t=A.webgl))throw new Error("DirectVolumeVisual requires `webgl` in props");return[2,t.isWebGL2?H6(0,t,e,n):N6(0,t,e,n)]}))}))}function M6(A,e){return"isosurface"===e.renderMode.name?Ly.Isosurface.Loci(A,e.renderMode.params.isoValue):Ly.Loci(A)}function L6(A,e,t,r){var n=A.objectId,i=A.groupId;return r===n?Ly.Cell.Loci(e,qr.ofSingleton(i)):PN}function x6(A,e,t,r){return nR(A,e,"isosurface"===t.renderMode.name?t.renderMode.params.isoValue:void 0,r)}var k6=w(w({},qy.Params),{quality:w(w({},qy.Params.quality),{isEssential:!1})});function Y6(A){return V4({defaultProps:ir.getDefaultValues(k6),createGeometry:G6,createLocationIterator:function(A){return ur(A.grid.cells.data.length,1,1,(function(){return ar}))},getLoci:L6,eachLocation:x6,setUpdateState:function(A,e,t,r){},geometryUtils:qy.Utils,dispose:function(A){A.gridTexture.ref.value.destroy()}},A)}var _6={name:"direct-volume",label:"Direct Volume",description:"Direct rendering of volumetric data.",factory:function(A,e){return T4("Direct Volume",A,e,Y6,M6)},getParams:function(A,e){var t=ir.clone(k6);return t.renderMode=qy.createRenderModeParam(e.grid.stats),t},defaultValues:ir.getDefaultValues(k6),defaultColorTheme:{name:"uniform"},defaultSizeTheme:{name:"uniform"},isApplicable:function(A){return!Ly.isEmpty(A)}},V6=function(A){function e(){var t=A.call(this)||this;return CA(e.BuiltIn,(function(A,e){if(A.name!==e)throw new Error("Fix BuiltInVolumeRepresentations to have matching names. ".concat(A.name," ").concat(e));t.add(A)})),t}return v(e,A),e}(DR);function T6(A,e,t,r){A.push({source:"em"===e?{name:"em",params:{isoValue:Ly.IsoValue.absolute(r||0)}}:{name:"x-ray",params:{}},dataId:t})}!function(A){A.BuiltIn={isosurface:C6,slice:U6,"direct-volume":_6}}(V6||(V6={}));var P6=Rd.build({display:{name:"Volume Streaming"},from:qf.Molecule.Structure,params:function(A,e){var t=function(A,e){if(void 0===e&&(e="x-ray"),!A)return e;var t=A.models[0];return dc.is(t.sourceData)?dd.hasEmMap(t)?"em":dd.hasXrayMap(t)?"x-ray":dd.isFromEm(t)?"em":dd.isFromXray(t)?"x-ray":e:e}(A&&A.data),r=function(A,e){if(!e||!e.models.length)return[];var t=e.models[0];switch(A){case"em":return function(A){var e=[];if(!dc.is(A.sourceData))return[A.entryId];var t=A.sourceData.data.db.pdbx_database_related,r=t.db_id,n=t.db_name,i=t.content_type;if(!n.isDefined)return[A.entryId];for(var o=0,a=n.rowCount;o<a;++o)"EMDB"===n.value(o).toUpperCase()&&"associated EM volume"===i.value(o)&&e.push(r.value(o));return e}(t);case"x-ray":return function(A){return[A.entryId]}(t)}}(t,A&&A.data);return{method:ir.Select(t,[["em","EM"],["x-ray","X-Ray"]]),entries:ir.ObjectList({id:ir.Text(r[0]||"")},(function(A){return A.id}),{defaultValue:r.map((function(A){return{id:A}}))}),defaultView:ir.Select("em"===t?"cell":"selection-box",c1.ViewTypeOptions),options:ir.Group({serverUrl:ir.Text(e.config.get(SL.VolumeStreaming.DefaultServer)||"https://ds.litemol.org"),behaviorRef:ir.Text("",{isHidden:!0}),emContourProvider:ir.Select("emdb",[["emdb","EMDB"],["pdbe","PDBe"]],{isHidden:!0}),channelParams:ir.Value({},{isHidden:!0})})}},isApplicable:function(A,e,t){var r=t.config.get(SL.VolumeStreaming.CanStream);return r?r(A.data,t):1===A.data.models.length&&dd.probablyHasDensityMap(A.data.models[0])}})((function(A,e){var t=A.ref,r=A.state,n=A.params;return Pe.create("Volume Streaming",(function(A){return F(void 0,void 0,void 0,(function(){var i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p;return U(this,(function(m){switch(m.label){case 0:i=[],o=0,a=n.entries.length,m.label=1;case 1:return o<a?(s=n.entries[o].id.toLowerCase(),u=void 0,"em"!==n.method?[3,14]:s.toUpperCase().startsWith("EMD")?[3,11]:[4,A.update("Getting EMDB info...")]):[3,16];case 2:return m.sent(),[4,b4(e,A,s)];case 3:g=m.sent(),c=0,B=g.length,m.label=4;case 4:if(!(c<B))return[3,10];l=g[c],Q=void 0,m.label=5;case 5:return m.trys.push([5,7,,8]),[4,m4(n.options.emContourProvider,e,A,l)];case 6:return Q=m.sent(),[3,8];case 7:return I=m.sent(),console.info("Could not get map info for ".concat(l,": ").concat(I)),[3,9];case 8:T6(i,n.method,l,Q||0),m.label=9;case 9:return++c,[3,4];case 10:return[3,15];case 11:return m.trys.push([11,13,,14]),[4,m4(n.options.emContourProvider,e,A,s)];case 12:return u=m.sent(),[3,14];case 13:return d=m.sent(),console.info("Could not get map info for ".concat(s,": ").concat(d)),[3,15];case 14:T6(i,n.method,s,u||0),m.label=15;case 15:return++o,[3,1];case 16:return[4,(h=r.build().to(t).applyOrUpdateTagged(c1.RootTag,K6,{serverUrl:n.options.serverUrl,entries:i})).commit()];case 17:return m.sent(),(E=h.selector).isOk?(null==(f=r.tree.children.get(E.ref))?void 0:f.size)>0?[4,e.managers.structure.hierarchy.remove(null==f?void 0:f.toArray())]:[3,19]:[2];case 18:m.sent(),m.label=19;case 19:return C=E.cell.obj,p=r.build().to(h.ref).apply(j6,ir.getDefaultValues(c1.createParams({data:C.data,defaultView:n.defaultView,channelParams:n.options.channelParams})),{ref:n.options.behaviorRef?n.options.behaviorRef:void 0}),"em"===n.method?p.apply(z6,{channel:"em"},{state:{isGhost:!0},tags:"em"}):(p.apply(z6,{channel:"2fo-fc"},{state:{isGhost:!0},tags:"2fo-fc"}),p.apply(z6,{channel:"fo-fc(+ve)"},{state:{isGhost:!0},tags:"fo-fc(+ve)"}),p.apply(z6,{channel:"fo-fc(-ve)"},{state:{isGhost:!0},tags:"fo-fc(-ve)"})),[4,r.updateTree(p).runInContext(A)];case 20:return m.sent(),[2]}}))}))}))})),J6=Rd.build({display:{name:"Boxify Volume Streaming",description:"Make the current box permanent."},from:c1,isApplicable:function(A){return"selection-box"===A.data.params.entry.params.view.name}})((function(A,e){var t=A.a,r=A.ref,n=A.state,i=t.data.params;if("selection-box"===i.entry.params.view.name){var o=Ns.create(gA.clone(i.entry.params.view.params.bottomLeft),gA.clone(i.entry.params.view.params.topRight)),a=i.entry.params.view.params.radius;Ns.expand(o,o,gA.create(a,a,a));var s=w(w({},i),{entry:{name:i.entry.name,params:w(w({},i.entry.params),{view:{name:"box",params:{bottomLeft:o.min,topRight:o.max}}})}});return n.updateTree(n.build().to(r).update(s))}})),O6={dataId:ir.Text(""),source:ir.MappedStatic("x-ray",{em:ir.Group({isoValue:Ly.createIsoValueParam(Ly.IsoValue.relative(1))}),"x-ray":ir.Group({})})},K6=Zf.BuiltIn({name:"create-volume-streaming-info",display:{name:"Volume Streaming Info"},from:qf.Molecule.Structure,to:p4,params:function(A){return{serverUrl:ir.Text("https://ds.litemol.org"),entries:ir.ObjectList(O6,(function(A){return A.dataId}),{defaultValue:[{dataId:"",source:{name:"x-ray",params:{}}}]})}}})({apply:function(A,e){var t=A.a,r=A.params;return Pe.create("",(function(A){return F(void 0,void 0,void 0,(function(){var n,i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:n=[],i=0,o=r.entries.length,B.label=1;case 1:return i<o?(a=r.entries[i],s=a.dataId,u="em"===a.source.name?a.source.params.isoValue:Ly.IsoValue.relative(1),[4,A.update("Getting server header...")]):[3,5];case 2:return B.sent(),[4,e.fetch({url:iV(r.serverUrl,"".concat(a.source.name,"/").concat(s.toLocaleLowerCase())),type:"json"}).runInContext(A)];case 3:g=B.sent(),n.push({dataId:s,kind:a.source.name,header:g,emDefaultContourLevel:u}),B.label=4;case 4:return++i,[3,1];case 5:return c={serverUrl:r.serverUrl,entries:n,structure:t.data},[2,new p4(c,{label:"Volume Server",description:"".concat(n.map((function(A){return A.dataId})).join(", "))})]}}))}))}))}}),j6=Zf.BuiltIn({name:"create-volume-streaming-behavior",display:{name:"Volume Streaming Behavior"},from:p4,to:c1,params:function(A){return c1.createParams({data:A&&A.data})}})({canAutoUpdate:function(A){var e=A.oldParams,t=A.newParams;return e.entry.params.view===t.entry.params.view||"selection-box"===t.entry.params.view.name||"off"===t.entry.params.view.name},apply:function(A,e){var t=A.a,r=A.params;return Pe.create("Volume streaming",(function(A){return F(void 0,void 0,void 0,(function(){var A;return U(this,(function(n){switch(n.label){case 0:return[4,(A=new c1.Behavior(e,t.data)).update(r)];case 1:return n.sent(),[2,new c1(A,{label:"Volume Streaming",description:A.getDescription()})]}}))}))}))},update:function(A){var e=this,t=(A.a,A.b),r=A.oldParams,n=A.newParams;return Pe.create("Update Volume Streaming",(function(A){return F(e,void 0,void 0,(function(){var A,e;return U(this,(function(i){switch(i.label){case 0:return r.entry.name!==n.entry.name&&"em"in n.entry.params.channels&&(A=t.data.infoMap.get(n.entry.name).emDefaultContourLevel)&&(n.entry.params.channels.em.isoValue=A),[4,t.data.update(n)];case 1:return e=i.sent()?Hd.UpdateResult.Updated:Hd.UpdateResult.Unchanged,t.description=t.data.getDescription(),[2,e]}}))}))}))}}),z6=Zf.BuiltIn({name:"create-volume-streaming-visual",display:{name:"Volume Streaming Visual"},from:c1,to:qf.Volume.Representation3D,params:{channel:ir.Select("em",c1.ChannelTypeOptions,{isHidden:!0})}})({apply:function(A,e){var t=A.a,r=A.params,n=A.spine;return Pe.create("Volume Representation",(function(A){return F(void 0,void 0,void 0,(function(){var i,o,a,s,u,g,c,B,l;return U(this,(function(Q){switch(Q.label){case 0:return(i=t.data.channels[r.channel])?(o=q6(t.data,r.channel),a=V6.BuiltIn.isosurface,s=o.type.params||{},(u=a.factory(w({webgl:null===(B=e.canvas3d)||void 0===B?void 0:B.webgl},e.representation.volume.themes),a.getParams)).setTheme(wN.create(e.representation.volume.themes,{volume:i.data},o)),g=null===(l=n.getAncestorOfType(qf.Molecule.Structure))||void 0===l?void 0:l.data,c=0===(null==g?void 0:g.models.length)?void 0:Ic.get(null==g?void 0:g.models[0]),[4,u.createOrUpdate(s,i.data).runInContext(A)]):[2,Dd.Null];case 1:return Q.sent(),c&&u.setState({transform:c}),[2,new qf.Volume.Representation3D({repr:u,sourceData:i.data},{label:"".concat(Math.round(100*i.isoValue.relativeValue)/100," σ [").concat(r.channel,"]")})]}}))}))}))},update:function(A,e){var t=A.a,r=A.b,n=A.newParams;return A.spine,Pe.create("Volume Representation",(function(A){return F(void 0,void 0,void 0,(function(){var i,o,a,s;return U(this,(function(u){switch(u.label){case 0:return(i=t.data.channels[n.channel])?(o=r.data.repr.state.visible,a=q6(t.data,n.channel),s=w(w({},r.data.repr.props),a.type.params),r.data.repr.setTheme(wN.create(e.representation.volume.themes,{volume:i.data},a)),[4,r.data.repr.createOrUpdate(s,i.data).runInContext(A)]):[2,Hd.UpdateResult.Unchanged];case 1:return u.sent(),r.data.repr.setState({visible:o}),r.data.sourceData=i.data,[2,Hd.UpdateResult.Updated]}}))}))}))}});function q6(A,e){var t=A.channels[e];return nM.getDefaultParamsStatic(A.plugin,"isosurface",{isoValue:t.isoValue,alpha:t.opacity,visuals:t.wireframe?["wireframe"]:["solid"]},"uniform",{value:t.color})}var Z6,W6,X6=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.defaultState=function(){return{header:"Volume Streaming",isCollapsed:!1,isBusy:!1,isHidden:!0,brand:{accent:"cyan",svg:oZ}}},e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.structure.hierarchy.behaviors.selection,(function(){A.setState({isHidden:!A.canEnable(),description:L1.getSelectedStructuresDescription(A.plugin)})})),this.subscribe(this.plugin.state.events.cell.stateUpdated,(function(e){Gd.hasTag(e.cell.transform,c1.RootTag)&&A.forceUpdate()})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){A.setState({isBusy:e})}))},Object.defineProperty(e.prototype,"pivot",{get:function(){return this.plugin.managers.structure.hierarchy.selection.structures[0]},enumerable:!1,configurable:!0}),e.prototype.canEnable=function(){var A,e;if(1!==this.plugin.managers.structure.hierarchy.selection.structures.length)return!1;var t=this.pivot.cell;return!!t.obj&&!!(null===(e=(A=P6.definition).isApplicable)||void 0===e?void 0:e.call(A,t.obj,t.transform,this.plugin))},e.prototype.renderEnable=function(){var A,e=this.pivot;if(!e.cell.parent)return null;var t=xd.findTagInSubtree(e.cell.parent.tree,this.pivot.cell.transform.ref,c1.RootTag),r=t&&e.cell.parent.cells.get(t),n=r&&"error"===r.status?{header:"Error enabling",icon:KZ,title:r.errorText}:r&&0===(null===(A=r.obj)||void 0===A?void 0:A.data.entries.length)?{header:"Error enabling",icon:KZ,title:"No entry for streaming found"}:{header:"Enable",icon:bZ,title:"Enable"};return(0,Zz.jsx)(g1,{state:e.cell.parent,action:P6,initiallyCollapsed:!0,nodeRef:e.cell.transform.ref,simpleApply:n},void 0)},e.prototype.renderParams=function(){var A,e,t,r,n,i=this.pivot;if(!i.cell.parent)return null;var o="selection-box"===(null===(e=null===(A=i.volumeStreaming)||void 0===A?void 0:A.cell.transform.params)||void 0===e?void 0:e.entry.params.view.name)&&(null===(n=null===(r=null===(t=this.plugin.state.behaviors.cells.get($P.id))||void 0===t?void 0:t.params)||void 0===r?void 0:r.values)||void 0===n?void 0:n.bindings);return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(C3,{state:i.cell.parent,transform:i.volumeStreaming.cell.transform,customHeader:"none",noMargin:!0},void 0),o&&(0,Zz.jsx)(XW,w({header:"Controls Help"},{children:(0,Zz.jsx)(x3,{bindings:o},void 0)}),void 0)]},void 0)},e.prototype.renderControls=function(){var A=this.pivot;return A?A.volumeStreaming?this.renderParams():this.renderEnable():null},e}(rX),$6=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.item=function(A){var t,r=e.plugin.managers.volume.hierarchy.selection,n=(null===(t=A.cell.obj)||void 0===t?void 0:t.label)||"Volume";return{kind:"item",label:("lazy-volume"===A.kind?"Load ":"")+(n||A.kind),selected:r===A,value:A}},e.selectCurrent=function(A){if(e.toggleHierarchy(),A){var t=A.value;"volume"===t.kind?e.plugin.managers.volume.hierarchy.setCurrent(t):e.lazyLoad(t.cell)}},e.selectAdd=function(A){A&&(e.setState({show:void 0}),A.value())},e.toggleHierarchy=function(){return e.setState({show:"hierarchy"!==e.state.show?"hierarchy":void 0})},e.toggleAddRepr=function(){return e.setState({show:"add-repr"!==e.state.show?"add-repr":void 0})},e}return v(e,A),e.prototype.defaultState=function(){return{header:"Volume",isCollapsed:!1,isBusy:!1,isHidden:!0,brand:{accent:"purple",svg:oZ}}},e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.volume.hierarchy.behaviors.selection,(function(e){A.setState({isHidden:0===e.hierarchy.volumes.length&&0===e.hierarchy.lazyVolumes.length})})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){A.setState({isBusy:e})}))},Object.defineProperty(e.prototype,"hierarchyItems",{get:function(){for(var A=this.plugin.managers.volume.hierarchy.current,e=[],t=0,r=A.volumes;t<r.length;t++){var n=r[t];e.push(this.item(n))}for(var i=0,o=A.lazyVolumes;i<o.length;i++)n=o[i],e.push(this.item(n));return e},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"addActions",{get:function(){var A=this.plugin.managers.volume.hierarchy,e=A.selection,t=S([],f4.getRepresentationTypes(this.plugin,e).map((function(t){return nX.Item(t[1],(function(){return A.addRepresentation(e,t[0])}))})),!0);return t},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"isEmpty",{get:function(){var A=this.plugin.managers.volume.hierarchy.current,e=A.volumes,t=A.lazyVolumes;return 0===e.length&&0===t.length},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"label",{get:function(){var A;if(this.state.loadingLabel)return"Loading ".concat(this.state.loadingLabel,"...");var e=this.plugin.managers.volume.hierarchy.selection;return e?(null===(A=null==e?void 0:e.cell.obj)||void 0===A?void 0:A.label)||"Volume":"Nothing Selected"},enumerable:!1,configurable:!0}),e.prototype.lazyLoad=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a,s=this;return U(this,(function(u){switch(u.label){case 0:e=A.obj.data,t=e.url,r=e.isBinary,n=e.format,i=e.entryId,o=e.isovalues,this.setState({isBusy:!0,loadingLabel:A.obj.label}),u.label=1;case 1:return u.trys.push([1,,3,4]),[4,(a=this.plugin).dataTransaction((function(){return F(s,void 0,void 0,(function(){var e,s,u,g,c,B,l,Q,I,d,h;return U(this,(function(E){switch(E.label){case 0:return[4,a.builders.data.download({url:t,isBinary:r},{state:{isGhost:!0}})];case 1:return e=E.sent(),[4,a.dataFormats.get(n).parse(a,e,{entryId:i})];case 2:if(s=E.sent(),!(null==(u=s.volume||s.volumes[0])?void 0:u.isOk))throw new Error("Failed to parse any volume.");for(g=a.build(),c=0,B=o;c<B.length;c++)l=B[c],g.to(null!==(d=null===(Q=s.volumes)||void 0===Q?void 0:Q[null!==(I=l.volumeIndex)&&void 0!==I?I:0])&&void 0!==d?d:s.volume).apply(wM.Representation.VolumeRepresentation3D,$2(this.plugin,u.data,{type:"isosurface",typeParams:{alpha:null!==(h=l.alpha)&&void 0!==h?h:1,isoValue:"absolute"===l.type?{kind:"absolute",absoluteValue:l.value}:{kind:"relative",relativeValue:l.value}},color:"uniform",colorParams:{value:l.color}}));return[4,g.commit()];case 3:return E.sent(),[4,a.build().delete(A).commit()];case 4:return E.sent(),[2]}}))}))}))];case 2:return u.sent(),[3,4];case 3:return this.setState({isBusy:!1,loadingLabel:void 0}),[7];case 4:return[2]}}))}))},e.prototype.renderControls=function(){var A=this.state.isBusy||this.isEmpty,e=this.label,t=this.plugin.managers.volume.hierarchy.selection;return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row",style:{marginTop:"1px"}},{children:[(0,Zz.jsx)(qW,w({noOverflow:!0,flex:!0,onClick:this.toggleHierarchy,disabled:A,title:e},{children:e}),void 0),!this.isEmpty&&t&&(0,Zz.jsx)(ZW,{svg:zq,onClick:this.toggleAddRepr,title:"Apply a structure presets to the current hierarchy.",toggleState:"add-repr"===this.state.show,disabled:A},void 0)]}),void 0),"hierarchy"===this.state.show&&(0,Zz.jsx)(nX,{items:this.hierarchyItems,onSelect:this.selectCurrent},void 0),"add-repr"===this.state.show&&(0,Zz.jsx)(nX,{items:this.addActions,onSelect:this.selectAdd},void 0),t&&t.representations.length>0&&(0,Zz.jsx)("div",w({style:{marginTop:"6px"}},{children:t.representations.map((function(A){return(0,Zz.jsx)(A8,{representation:A},A.cell.transform.ref)}))}),void 0)]},void 0)},e}(rX),A8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={action:void 0},e.remove=function(){return e.plugin.managers.volume.hierarchy.remove([e.props.representation],!0)},e.toggleVisible=function(A){A.preventDefault(),A.currentTarget.blur(),e.plugin.managers.volume.hierarchy.toggleVisibility([e.props.representation])},e.toggleUpdate=function(){return e.setState({action:"update"===e.state.action?void 0:"update"})},e.highlight=function(A){A.preventDefault(),e.props.representation.cell.parent&&sV.Interactivity.Object.Highlight(e.plugin,{state:e.props.representation.cell.parent,ref:e.props.representation.cell.transform.ref})},e.clearHighlight=function(A){A.preventDefault(),sV.Interactivity.ClearHighlights(e.plugin)},e.focus=function(){var A,t=e.props.representation,r=null===(A=e.props.representation.cell.obj)||void 0===A?void 0:A.data.repr.renderObjects;t.cell.state.isHidden&&e.plugin.managers.volume.hierarchy.toggleVisibility([e.props.representation],"show"),e.plugin.managers.camera.focusRenderObjects(r,{extraRadius:1})},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.cell.stateUpdated,(function(e){YE.ObjectEvent.isCell(e,A.props.representation.cell)&&A.forceUpdate()}))},e.prototype.render=function(){var A,e,t,r=this.props.representation.cell;return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row"},{children:[(0,Zz.jsxs)(qW,w({noOverflow:!0,className:"msp-control-button-label",title:"".concat(null===(A=r.obj)||void 0===A?void 0:A.label,". 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0)},e}(tX);function e8(A,e){if(Math.abs(A)>Math.abs(e)){var t=e/A;return Math.abs(A)*Math.sqrt(1+t*t)}return 0!==e?(t=A/e,Math.abs(e)*Math.sqrt(1+t*t)):0}!function(A){A.createCache=function(A){return{size:A,matrix:aB.create(A,A),eigenValues:new Float64Array(A),D:new Float64Array(A),E:new Float64Array(A)}},A.compute=function(A){!function(A,e,t,r,n){for(var i=0;i<A;i++)n[i]=0;var o=A-1;for(i=0;i<A;i++)r[i]=e[i*A+o];for(function(A,e,t,r){for(var n=r-1;n>0;n--){for(var i=0,o=0,a=0;a<n;a++)i+=Math.abs(e[a]);if(0===i){t[n]=e[n-1];for(var s=0;s<n;s++)e[s]=A[s*r+n-1],A[s*r+n]=0,A[n*r+s]=0}else{for(a=0;a<n;a++)e[a]/=i,o+=e[a]*e[a];var u=e[n-1],g=Math.sqrt(o);for(u>0&&(g=-g),t[n]=i*g,o-=u*g,e[n-1]=u-g,s=0;s<n;s++)t[s]=0;for(s=0;s<n;s++){for(u=e[s],A[n*r+s]=u,g=t[s]+A[s*r+s]*u,a=s+1;a<=n-1;a++)g+=A[s*r+a]*e[a],t[a]+=A[s*r+a]*u;t[s]=g}for(u=0,s=0;s<n;s++)t[s]/=o,u+=t[s]*e[s];var 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A(A,e,t){this.seqA=A,this.seqB=e,this.S=[],this.V=[],this.H=[],this.gapPenalty=t.gapPenalty,this.gapExtensionPenalty=t.gapExtensionPenalty,this.substMatrix="default"===t.substMatrix?void 0:i8[t.substMatrix],this.n=this.seqA.length,this.m=this.seqB.length}return A.prototype.initMatrices=function(){for(var A=this,e=A.n,t=A.m,r=A.gapPenalty,n=A.S,i=A.V,o=A.H,a=0;a<=e;++a){n[a]=[],i[a]=[],o[a]=[];for(var s=0;s<=t;++s)n[a][s]=0,i[a][s]=0,o[a][s]=0}for(a=0;a<=e;++a)n[a][0]=r,o[a][0]=-1/0;for(s=0;s<=t;++s)n[0][s]=r,i[0][s]=-1/0;n[0][0]=0},A.prototype.makeScoreFn=function(){var A=this,e=A.seqA,t=A.seqB,r=A.substMatrix;return r?function(A,n){var i,o,a=e[A],s=t[n];return null!==(o=null===(i=r[a])||void 0===i?void 0:i[s])&&void 0!==o?o:-4}:function(A,r){return e[A]===t[r]?5:-3}},A.prototype.calculate=function(){this.initMatrices();for(var A,e,t,r,n,i=this.makeScoreFn(),o=this,a=o.V,s=o.H,u=o.S,g=o.n,c=o.m,B=o.gapExtensionPenalty,l=o.gapPenalty,Q=1;Q<=g;++Q){e=u[Q-1],A=a[Q-1],t=a[Q],r=s[Q],n=u[Q];for(var I=1;I<=c;++I)t[I]=Math.max(e[I]+l,A[I]+B),r[I]=Math.max(n[I-1]+l,r[I-1]+B),n[I]=Math.max(e[I-1]+i(Q-1,I-1),t[I],r[I])}},A.prototype.trace=function(){var A,e,t=this.makeScoreFn(),r=this,n=r.V,i=r.H,o=r.S,a=r.seqA,s=r.seqB,u=r.gapExtensionPenalty,g=r.gapPenalty,c=this.n,B=this.m,l="",Q="";for(o[c][B]>=n[c][B]?(A="S",e=o[c][B]):n[c][B]>=i[c][B]?(A="V",e=n[c][B]):(A="H",e=i[c][B]);c>0&&B>0;)"S"===A?o[c][B]===o[c-1][B-1]+t(c-1,B-1)?(l=a[c-1]+l,Q=s[B-1]+Q,--c,--B,A="S"):o[c][B]===n[c][B]?A="V":o[c][B]===i[c][B]?A="H":(--c,--B):"V"===A?n[c][B]===n[c-1][B]+u?(l=a[c-1]+l,Q="-"+Q,--c,A="V"):n[c][B]===o[c-1][B]+g?(l=a[c-1]+l,Q="-"+Q,--c,A="S"):--c:"H"===A&&(i[c][B]===i[c][B-1]+u?(l="-"+l,Q=s[B-1]+Q,--B,A="H"):i[c][B]===o[c][B-1]+g?(l="-"+l,Q=s[B-1]+Q,--B,A="S"):--B);for(;c>0;)l=a[c-1]+l,Q="-"+Q,--c;for(;B>0;)l="-"+l,Q=s[B-1]+Q,--B;return{aliA:l,aliB:Q,score:e}},A}();function s8(A){return A.model.sequence.byEntityKey[function(A){switch(A.kind){case 0:return A.model.atomicHierarchy.index.getEntityFromChain(A.chainIndex[A.elements[0]]);case 1:return A.model.coarseHierarchy.spheres.entityKey[A.elements[0]];case 2:return 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A=this.plugin.behaviors.state.isAnimating.value;return!this.state.show||A&&!this.state.label?null:(0,Zz.jsxs)("div",w({className:"msp-traj-controls"},{children:[!A&&(0,Zz.jsx)(ZW,{svg:DW,title:"First Model",onClick:this.reset,disabled:A},void 0),!A&&(0,Zz.jsx)(ZW,{svg:sW,title:"Previous Model",onClick:this.prev,disabled:A},void 0),!A&&(0,Zz.jsx)(ZW,{svg:gW,title:"Next Model",onClick:this.next,disabled:A},void 0),!!this.state.label&&(0,Zz.jsx)("span",{children:this.state.label},void 0)]}),void 0)},e}(eX),m8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isBusy:!1,show:!0},e.keyUp=function(A){if(A.ctrlKey&&!e.state.isBusy&&A.target===document.body){var t=e.plugin.managers.snapshot;if(37===A.keyCode||"ArrowLeft"===A.key)t.state.isPlaying&&t.stop(),e.prev();else if(38===A.keyCode||"ArrowUp"===A.key){if(t.state.isPlaying&&t.stop(),0===t.state.entries.size)return;var r=t.state.entries.get(0);e.update(r.snapshot.id)}else 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A.setState({isBusy:e})})),window.addEventListener("keyup",this.keyUp,!1)},e.prototype.componentWillUnmount=function(){A.prototype.componentWillUnmount.call(this),window.removeEventListener("keyup",this.keyUp,!1)},e.prototype.update=function(A){return F(this,void 0,void 0,(function(){return U(this,(function(e){switch(e.label){case 0:return this.setState({isBusy:!0}),[4,sV.State.Snapshots.Apply(this.plugin,{id:A})];case 1:return e.sent(),this.setState({isBusy:!1}),[2]}}))}))},e.prototype.render=function(){var A=this.plugin.managers.snapshot,e=A.state.entries.size;if(e<2||!this.state.show)return null;var t=A.state.current,r=A.state.isPlaying;return(0,Zz.jsxs)("div",w({className:"msp-state-snapshot-viewport-controls"},{children:[(0,Zz.jsxs)("select",w({className:"msp-form-control",value:t||"none",onChange:this.change,disabled:this.state.isBusy||r},{children:[!t&&(0,Zz.jsx)("option",{value:"none"},"none"),A.state.entries.valueSeq().map((function(A,t){return(0,Zz.jsxs)("option",w({value:A.snapshot.id},{children:["[".concat(t+1,"/").concat(e,"]")," ",A.name||new Date(A.timestamp).toLocaleString()]}),A.snapshot.id)}))]}),void 0),(0,Zz.jsx)(ZW,{svg:r?wW:QW,title:r?"Pause":"Cycle States",onClick:this.togglePlay,disabled:!r&&this.state.isBusy},void 0),!r&&(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(ZW,{svg:sW,title:"Previous State",onClick:this.prev,disabled:this.state.isBusy||r},void 0),(0,Zz.jsx)(ZW,{svg:gW,title:"Next State",onClick:this.next,disabled:this.state.isBusy||r},void 0)]},void 0)]}),void 0)},e}(eX),y8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isEmpty:!0,isExpanded:!1,isBusy:!1,isAnimating:!1,isPlaying:!1},e.toggleExpanded=function(){return e.setState({isExpanded:!e.state.isExpanded})},e.stop=function(){e.plugin.managers.animation.stop(),e.plugin.managers.snapshot.stop()},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.snapshot.events.changed,(function(){A.plugin.managers.snapshot.state.isPlaying?A.setState({isPlaying:!0,isExpanded:!1}):A.setState({isPlaying:!1})})),this.subscribe(this.plugin.behaviors.state.isBusy,(function(e){e?A.setState({isBusy:!0,isExpanded:!1,isEmpty:A.plugin.state.data.tree.transforms.size<2}):A.setState({isBusy:!1,isEmpty:A.plugin.state.data.tree.transforms.size<2})})),this.subscribe(this.plugin.behaviors.state.isAnimating,(function(e){e?A.setState({isAnimating:!0,isExpanded:!1}):A.setState({isAnimating:!1})}))},e.prototype.render=function(){var A=this.plugin.managers.snapshot.state.isPlaying;if(A||this.state.isEmpty||this.plugin.managers.animation.isEmpty||!this.plugin.config.get(SL.Viewport.ShowAnimation))return null;var e=this.state.isAnimating;return(0,Zz.jsxs)("div",w({className:"msp-animation-viewport-controls"},{children:[(0,Zz.jsxs)("div",{children:[(0,Zz.jsx)("div",{className:"msp-semi-transparent-background"},void 0),(0,Zz.jsx)(ZW,{svg:e||A?wW:UW,transparent:!0,title:e?"Stop":"Select Animation",onClick:e||A?this.stop:this.toggleExpanded,toggleState:this.state.isExpanded,disabled:!e&&!A&&(this.state.isBusy||this.state.isPlaying||this.state.isEmpty)},void 0)]},void 0),this.state.isExpanded&&!this.state.isBusy&&(0,Zz.jsx)("div",w({className:"msp-animation-viewport-controls-select"},{children:(0,Zz.jsx)(t3,{onStart:this.toggleExpanded},void 0)}),void 0)]}),void 0)},e}(eX),v8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.onMouseMove=function(A){0===A.buttons&&A.stopPropagation()},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.behaviors.interaction.selectionMode,(function(){return A.forceUpdate()}))},e.prototype.render=function(){return this.plugin.selectionMode?(0,Zz.jsx)("div",w({className:"msp-selection-viewport-controls",onMouseMove:this.onMouseMove},{children:(0,Zz.jsx)(K3,{},void 0)}),void 0):null},e}(eX),D8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={labels:[]},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.behaviors.labels.highlight,(function(e){return A.setState({labels:e.labels})}))},e.prototype.render=function(){return 0===this.state.labels.length?null:(0,Zz.jsx)("div",w({className:"msp-highlight-info"},{children:this.state.labels.map((function(A,e){return(0,Zz.jsx)("div",{dangerouslySetInnerHTML:{__html:A}},""+e)}))}),void 0)},e}(eX),b8=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.behaviors.events.changed,(function(){return A.forceUpdate()}))},e.prototype.render=function(){var A=this,e=[];return this.plugin.customStructureControls.forEach((function(t,r){e.push((0,Zz.jsx)(t,{initiallyCollapsed:A.props.initiallyCollapsed},r))})),e.length>0?(0,Zz.jsx)(Zz.Fragment,{children:e},void 0):null},e}(eX),w8=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.render=function(){return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-section-header"},{children:[(0,Zz.jsx)(yq,{svg:QZ},void 0),"Structure Tools"]}),void 0),(0,Zz.jsx)(o4,{},void 0),(0,Zz.jsx)(X3,{},void 0),(0,Zz.jsx)(d8,{},void 0),(0,Zz.jsx)(y3,{},void 0),this.plugin.config.get(SL.VolumeStreaming.Enabled)&&(0,Zz.jsx)(X6,{},void 0),(0,Zz.jsx)($6,{},void 0),(0,Zz.jsx)(b8,{},void 0)]},void 0)},e}(eX),F8=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),Object.defineProperty(e.prototype,"current",{get:function(){return this.props.state.behaviors.currentObject.value},enumerable:!1,configurable:!0}),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.object.updated,(function(e){var t=e.ref,r=e.state,n=A.current;n.ref===t&&n.state===r&&A.forceUpdate()})),this.subscribe(this.plugin.state.data.actions.events.added,(function(){return A.forceUpdate()})),this.subscribe(this.plugin.state.data.actions.events.removed,(function(){return A.forceUpdate()}))},e.prototype.render=function(){var A=this,e=this.props,t=e.state,r=e.nodeRef,n=t.cells.get(r),i=t.actions.fromCell(n,this.plugin);if(0===i.length)return null;var o=n.transform.transformer.definition,a=n.obj?n.obj.label:o.display&&o.display.name||o.name;return(0,Zz.jsxs)("div",w({className:"msp-state-actions"},{children:[!this.props.hideHeader&&(0,Zz.jsxs)("div",w({className:"msp-section-header"},{children:[(0,Zz.jsx)(yq,{svg:GZ},void 0)," ","Actions (".concat(a,")")]}),void 0),i.map((function(e,n){return(0,Zz.jsx)(g1,{state:t,action:e,nodeRef:r,initiallyCollapsed:0===n?!A.props.alwaysExpandFirst&&A.props.initiallyCollapsed:A.props.initiallyCollapsed},"".concat(e.id))}))]}),void 0)},e}(eX),U8=function(A){function e(t){var r=A.call(this)||this;return r.plugin=t,r.data=YE.create(new qf.Root({}),{runTask:r.plugin.runTask,globalContext:r.plugin,historyCapacity:r.plugin.config.get(SL.State.HistoryCapacity)}),r.behaviors=YE.create(new J_.Root({}),{runTask:r.plugin.runTask,globalContext:r.plugin,rootState:{isLocked:!0}}),r.events={cell:{stateUpdated:pq(r.data.events.cell.stateUpdated,r.behaviors.events.cell.stateUpdated),created:pq(r.data.events.cell.created,r.behaviors.events.cell.created),removed:pq(r.data.events.cell.removed,r.behaviors.events.cell.removed)},object:{created:pq(r.data.events.object.created,r.behaviors.events.object.created),removed:pq(r.data.events.object.removed,r.behaviors.events.object.removed),updated:pq(r.data.events.object.updated,r.behaviors.events.object.updated)}},r.snapshotParams=r.ev.behavior(e.DefaultSnapshotParams),r.setSnapshotParams=function(A){r.snapshotParams.next(w(w({},e.DefaultSnapshotParams),A))},r}return v(e,A),Object.defineProperty(e.prototype,"animation",{get:function(){return this.plugin.managers.animation},enumerable:!1,configurable:!0}),e.prototype.getSnapshot=function(A){var e,t,r=w(w({},this.snapshotParams.value),A);return{id:N.create22(),data:r.data?this.data.getSnapshot():void 0,behaviour:r.behavior?this.behaviors.getSnapshot():void 0,animation:r.animation?this.animation.getSnapshot():void 0,startAnimation:r.startAnimation?!!r.startAnimation:void 0,camera:r.camera?{current:this.plugin.canvas3d.camera.getSnapshot(),transitionStyle:r.cameraTransition.name,transitionDurationInMs:"animate"===(null===(e=null==r?void 0:r.cameraTransition)||void 0===e?void 0:e.name)?r.cameraTransition.params.durationInMs:void 0}:void 0,canvas3d:r.canvas3d?{props:null===(t=this.plugin.canvas3d)||void 0===t?void 0:t.props}:void 0,interactivity:r.interactivity?{props:this.plugin.managers.interactivity.props}:void 0,structureFocus:this.plugin.managers.structure.focus.getSnapshot(),structureComponentManager:r.componentManager?{options:this.plugin.managers.structure.component.state.options}:void 0,durationInMs:null==r?void 0:r.durationInMs}},e.prototype.setSnapshot=function(A){var e,t,r;return F(this,void 0,void 0,(function(){var n;return U(this,(function(i){switch(i.label){case 0:return[4,this.animation.stop()];case 1:return i.sent(),(null===(e=A.structureComponentManager)||void 0===e?void 0:e.options)?[4,this.plugin.managers.structure.component.setOptions(null===(t=A.structureComponentManager)||void 0===t?void 0:t.options)]:[3,3];case 2:i.sent(),i.label=3;case 3:return A.behaviour?[4,this.plugin.runTask(this.behaviors.setSnapshot(A.behaviour))]:[3,5];case 4:i.sent(),i.label=5;case 5:return A.data?[4,this.plugin.runTask(this.data.setSnapshot(A.data))]:[3,7];case 6:i.sent(),i.label=7;case 7:return(null===(r=A.canvas3d)||void 0===r?void 0:r.props)?(n=ir.normalizeParams(MP,A.canvas3d.props,"children"),[4,sV.Canvas3D.SetSettings(this.plugin,{settings:n})]):[3,9];case 8:i.sent(),i.label=9;case 9:return A.interactivity&&A.interactivity.props&&this.plugin.managers.interactivity.setProps(A.interactivity.props),A.structureFocus&&this.plugin.managers.structure.focus.setSnapshot(A.structureFocus),A.animation&&this.animation.setSnapshot(A.animation),A.camera&&sV.Camera.Reset(this.plugin,{snapshot:A.camera.current,durationMs:"animate"===A.camera.transitionStyle?A.camera.transitionDurationInMs:void 0}),A.startAnimation&&this.animation.start(),[2]}}))}))},e.prototype.updateTransform=function(A,e,t,r){var n=A.build().to(e).update(t);return sV.State.Update(this.plugin,{state:A,tree:n,options:{canUndo:r}})},e.prototype.updateBehavior=function(A,e){var t=this.behaviors.build();if(this.behaviors.tree.transforms.has(A.id))t.to(A.id).update(e);else{var r=A.createDefaultParams(void 0,this.plugin);t.to(J_.getCategoryId(A)).apply(A,UE(r,e),{ref:A.id})}return this.plugin.runTask(this.behaviors.updateTree(t))},e.prototype.dispose=function(){this.behaviors.cells.forEach((function(A){J_.Behavior.is(A.obj)&&A.obj.data.unregister()})),A.prototype.dispose.call(this),this.data.dispose(),this.behaviors.dispose(),this.animation.dispose()},e}(W_);!function(A){A.SnapshotParams={durationInMs:ir.Numeric(1500,{min:100,max:15e3,step:100},{label:"Duration in ms"}),data:ir.Boolean(!0),behavior:ir.Boolean(!1),componentManager:ir.Boolean(!0),animation:ir.Boolean(!0),startAnimation:ir.Boolean(!1),canvas3d:ir.Boolean(!0),interactivity:ir.Boolean(!0),camera:ir.Boolean(!0),cameraTransition:ir.MappedStatic("animate",{animate:ir.Group({durationInMs:ir.Numeric(250,{min:100,max:5e3,step:500},{label:"Duration in ms"})}),instant:ir.Group({})},{options:[["animate","Animate"],["instant","Instant"]]})},A.DefaultSnapshotParams=ir.getDefaultValues(A.SnapshotParams)}(U8||(U8={}));var S8=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.render=function(){var A;return(0,Zz.jsxs)("div",{children:[(0,Zz.jsx)(zW,{icon:mW,title:"Plugin State"},void 0),(0,Zz.jsx)("div",w({style:{marginBottom:"10px"}},{children:(0,Zz.jsx)(XW,w({header:"Save Options",initiallyExpanded:!1},{children:(0,Zz.jsx)(R8,{},void 0)}),void 0)}),void 0),(0,Zz.jsx)(H8,{},void 0),(0,Zz.jsx)(G8,{},void 0),(0,Zz.jsx)(zW,{title:"Save as File",accent:"blue"},void 0),(0,Zz.jsx)(N8,{},void 0),"none"!==(null===(A=this.plugin.spec.components)||void 0===A?void 0:A.remoteState)&&(0,Zz.jsx)(M8,{},void 0)]},void 0)},e}(eX),N8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.downloadToFileJson=function(){var A,t;null===(t=(A=e.props).onAction)||void 0===t||t.call(A),sV.State.Snapshots.DownloadToFile(e.plugin,{type:"json"})},e.downloadToFileZip=function(){var A,t;null===(t=(A=e.props).onAction)||void 0===t||t.call(A),sV.State.Snapshots.DownloadToFile(e.plugin,{type:"zip"})},e.open=function(A){var t,r;A.target.files&&A.target.files[0]?(null===(r=(t=e.props).onAction)||void 0===r||r.call(t),sV.State.Snapshots.OpenFile(e.plugin,{file:A.target.files[0]})):e.plugin.log.error("No state file selected")},e}return v(e,A),e.prototype.render=function(){return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsxs)("div",w({className:"msp-flex-row"},{children:[(0,Zz.jsx)(qW,w({icon:$Z,onClick:this.downloadToFileJson,title:"Save the state description. Input data are loaded using the provided sources. Does not work if local files are used as input."},{children:"State"}),void 0),(0,Zz.jsx)(qW,w({icon:$Z,onClick:this.downloadToFileZip,title:"Save the state including the input data."},{children:"Session"}),void 0),(0,Zz.jsxs)("div",w({className:"msp-btn msp-btn-block msp-btn-action msp-loader-msp-btn-file"},{children:[(0,Zz.jsx)(yq,{svg:BW,inline:!0},void 0)," Open ",(0,Zz.jsx)("input",{onChange:this.open,type:"file",multiple:!1,accept:".molx,.molj"},void 0)]}),void 0)]}),void 0),(0,Zz.jsxs)("div",w({className:"msp-help-text",style:{padding:"10px"}},{children:[(0,Zz.jsx)(yq,{svg:YW},void 0)," This is an experimental feature and stored states/sessions might not be openable in a future version."]}),void 0)]},void 0)},e}(eX),R8=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.snapshotParams,(function(){return A.forceUpdate()}))},e.prototype.render=function(){return(0,Zz.jsx)(UX,{params:U8.SnapshotParams,values:this.plugin.state.snapshotParams.value,onChangeValues:this.plugin.state.setSnapshotParams},void 0)},e}(eX),H8=function(A){function e(){var t=null!==A&&A.apply(this,arguments)||this;return t.state={params:ir.getDefaultValues(e.Params)},t.add=function(){sV.State.Snapshots.Add(t.plugin,{name:t.state.params.name,description:t.state.params.description})},t.updateParams=function(A){return t.setState({params:A})},t.clear=function(){sV.State.Snapshots.Clear(t.plugin,{})},t}return v(e,A),e.prototype.shouldComponentUpdate=function(A,e){return!K(this.props,A)||!K(this.state,e)},e.prototype.render=function(){return(0,Zz.jsxs)("div",{children:[(0,Zz.jsx)(UX,{params:e.Params,values:this.state.params,onEnter:this.add,onChangeValues:this.updateParams},void 0),(0,Zz.jsxs)("div",w({className:"msp-flex-row"},{children:[(0,Zz.jsx)(ZW,{onClick:this.clear,svg:JZ,title:"Remove All"},void 0),(0,Zz.jsx)(qW,w({onClick:this.add,icon:zq,style:{textAlign:"right"},commit:!0},{children:"Add"}),void 0)]}),void 0)]},void 0)},e.Params={name:ir.Text(),description:ir.Text()},e}(eX),G8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.apply=function(A){var t=A.currentTarget.getAttribute("data-id");t&&sV.State.Snapshots.Apply(e.plugin,{id:t})},e.remove=function(A){var t=A.currentTarget.getAttribute("data-id");t&&sV.State.Snapshots.Remove(e.plugin,{id:t})},e.moveUp=function(A){var t=A.currentTarget.getAttribute("data-id");t&&sV.State.Snapshots.Move(e.plugin,{id:t,dir:-1})},e.moveDown=function(A){var t=A.currentTarget.getAttribute("data-id");t&&sV.State.Snapshots.Move(e.plugin,{id:t,dir:1})},e.replace=function(A){var t=A.currentTarget.getAttribute("data-id");t&&sV.State.Snapshots.Replace(e.plugin,{id:t})},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.snapshot.events.changed,(function(){return A.forceUpdate()}))},e.prototype.render=function(){var A=this,e=this.plugin.managers.snapshot.state.current;return(0,Zz.jsx)("ul",w({style:{listStyle:"none",marginTop:"10px"},className:"msp-state-list"},{children:this.plugin.managers.snapshot.state.entries.map((function(t){return(0,Zz.jsxs)("li",w({className:"msp-flex-row"},{children:[(0,Zz.jsxs)(qW,w({"data-id":t.snapshot.id,onClick:A.apply,className:"msp-no-overflow"},{children:[(0,Zz.jsx)("span",w({style:{fontWeight:t.snapshot.id===e?"bold":void 0}},{children:t.name||new Date(t.timestamp).toLocaleString()}),void 0)," ",(0,Zz.jsx)("small",{children:"".concat(t.snapshot.durationInMs?M(t.snapshot.durationInMs,!1)+"".concat(t.description?", ":""):"").concat(t.description?t.description:"")},void 0)]}),void 0),(0,Zz.jsx)(ZW,{svg:tZ,"data-id":t.snapshot.id,title:"Move Up",onClick:A.moveUp,flex:"20px"},void 0),(0,Zz.jsx)(ZW,{svg:Zq,"data-id":t.snapshot.id,title:"Move Down",onClick:A.moveDown,flex:"20px"},void 0),(0,Zz.jsx)(ZW,{svg:NW,"data-id":t.snapshot.id,title:"Replace",onClick:A.replace,flex:"20px"},void 0),(0,Zz.jsx)(ZW,{svg:JZ,"data-id":t.snapshot.id,title:"Remove",onClick:A.remove,flex:"20px"},void 0)]}),t.snapshot.id)}))}),void 0)},e}(eX),M8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.Params={name:ir.Text(),options:ir.Group({description:ir.Text(),playOnLoad:ir.Boolean(!1),serverUrl:ir.Text(e.plugin.config.get(SL.State.CurrentServer))})},e.state={params:ir.getDefaultValues(e.Params),entries:(0,Md.OrderedMap)(),isBusy:!1},e.ListOnlyParams={options:ir.Group({serverUrl:ir.Text(e.plugin.config.get(SL.State.CurrentServer))},{isFlat:!0})},e._mounted=!1,e.refresh=function(){return F(e,void 0,void 0,(function(){var A,e,t,r,n,i;return U(this,(function(o){switch(o.label){case 0:return o.trys.push([0,2,,3]),this.setState({isBusy:!0}),this.plugin.config.set(SL.State.CurrentServer,this.state.params.options.serverUrl),[4,this.plugin.runTask(this.plugin.fetch({url:this.serverUrl("list"),type:"json"}))];case 1:for((A=o.sent()||[]).sort((function(A,e){return A.isSticky===e.isSticky?A.timestamp-e.timestamp:A.isSticky?-1:1})),e=(0,Md.OrderedMap)().asMutable(),t=0,r=A;t<r.length;t++)n=r[t],e.set(n.id,w(w({},n),{url:this.serverUrl("get/".concat(n.id)),removeUrl:this.serverUrl("remove/".concat(n.id))}));return this._mounted&&this.setState({entries:e.asImmutable(),isBusy:!1}),[3,3];case 2:return i=o.sent(),console.error(i),this.plugin.log.error("Error fetching remote snapshots"),this._mounted&&this.setState({entries:(0,Md.OrderedMap)(),isBusy:!1}),[3,3];case 3:return[2]}}))}))},e.upload=function(){return F(e,void 0,void 0,(function(){return U(this,(function(A){switch(A.label){case 0:return this.setState({isBusy:!0}),this.plugin.config.set(SL.State.CurrentServer,this.state.params.options.serverUrl),[4,sV.State.Snapshots.Upload(this.plugin,{name:this.state.params.name,description:this.state.params.options.description,playOnLoad:this.state.params.options.playOnLoad,serverUrl:this.state.params.options.serverUrl})];case 1:return A.sent(),this.plugin.log.message("Snapshot uploaded."),this._mounted&&(this.setState({isBusy:!1}),this.refresh()),[2]}}))}))},e.fetch=function(A){return F(e,void 0,void 0,(function(){var e,t;return U(this,(function(r){switch(r.label){case 0:if(!(e=A.currentTarget.getAttribute("data-id")))return[2];if(!(t=this.state.entries.get(e)))return[2];this.setState({isBusy:!0}),r.label=1;case 1:return r.trys.push([1,,3,4]),[4,sV.State.Snapshots.Fetch(this.plugin,{url:t.url})];case 2:return r.sent(),[3,4];case 3:return this._mounted&&this.setState({isBusy:!1}),[7];case 4:return[2]}}))}))},e.remove=function(A){return F(e,void 0,void 0,(function(){var e,t,r;return U(this,(function(n){switch(n.label){case 0:if(!(e=A.currentTarget.getAttribute("data-id")))return[2];if(!(t=this.state.entries.get(e)))return[2];this.setState({entries:this.state.entries.remove(e)}),n.label=1;case 1:return n.trys.push([1,3,,4]),[4,fetch(t.removeUrl)];case 2:return n.sent(),[3,4];case 3:return r=n.sent(),console.error(r),[3,4];case 4:return[2]}}))}))},e}return v(e,A),e.prototype.componentDidMount=function(){this.refresh(),this._mounted=!0},e.prototype.componentWillUnmount=function(){this._mounted=!1},e.prototype.serverUrl=function(A){return A?iV(this.state.params.options.serverUrl,A):this.state.params.options.serverUrl},e.prototype.render=function(){var A=this;return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(zW,{title:"Remote States",accent:"blue"},void 0),!this.props.listOnly&&(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(UX,{params:this.Params,values:this.state.params,onEnter:this.upload,onChange:function(e){var t;A.setState({params:w(w({},A.state.params),(t={},t[e.name]=e.value,t))})},isDisabled:this.state.isBusy},void 0),(0,Zz.jsxs)("div",w({className:"msp-flex-row"},{children:[(0,Zz.jsx)(ZW,{onClick:this.refresh,disabled:this.state.isBusy,svg:dW},void 0),(0,Zz.jsx)(qW,w({icon:RZ,onClick:this.upload,disabled:this.state.isBusy,commit:!0},{children:"Upload"}),void 0)]}),void 0)]},void 0),(0,Zz.jsx)(L8,{entries:this.state.entries,isBusy:this.state.isBusy,serverUrl:this.state.params.options.serverUrl,fetch:this.fetch,remove:this.props.listOnly?void 0:this.remove},void 0),this.props.listOnly&&(0,Zz.jsxs)("div",w({style:{marginTop:"10px"}},{children:[(0,Zz.jsx)(UX,{params:this.ListOnlyParams,values:this.state.params,onEnter:this.upload,onChange:function(e){var t;A.setState({params:w(w({},A.state.params),(t={},t[e.name]=e.value,t))})},isDisabled:this.state.isBusy},void 0),(0,Zz.jsx)("div",w({className:"msp-flex-row"},{children:(0,Zz.jsx)(qW,w({onClick:this.refresh,disabled:this.state.isBusy,icon:dW},{children:"Refresh"}),void 0)}),void 0)]}),void 0)]},void 0)},e}(eX),L8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.open=function(A){return F(e,void 0,void 0,(function(){var e,t,r,n;return U(this,(function(i){return(e=A.currentTarget.getAttribute("data-id"))&&(t=this.props.entries.get(e))?(A.preventDefault(),r="".concat(window.location),(n=r.indexOf("?"))>0&&(r=r.substr(0,n)),window.open("".concat(r,"?snapshot-url=").concat(encodeURIComponent(t.url)),"_blank"),[2]):[2]}))}))},e}return v(e,A),e.prototype.render=function(){var A=this;return(0,Zz.jsx)("ul",w({style:{listStyle:"none",marginTop:"10px"},className:"msp-state-list"},{children:this.props.entries.valueSeq().map((function(e){return(0,Zz.jsxs)("li",w({className:"msp-flex-row"},{children:[(0,Zz.jsxs)(qW,w({"data-id":e.id,onClick:A.props.fetch,disabled:A.props.isBusy,onContextMenu:A.open,title:"Click to download, right-click to open in a new tab."},{children:[e.name||new Date(e.timestamp).toLocaleString()," ",(0,Zz.jsx)("small",{children:e.description},void 0)]}),void 0),!e.isSticky&&A.props.remove&&(0,Zz.jsx)(ZW,{svg:JZ,"data-id":e.id,title:"Remove",onClick:A.props.remove,disabled:A.props.isBusy,small:!0},void 0)]}),e.id)}))}),void 0)},e}(tX);function x8(A,e){return Wz((function(t,r){var n=0;t.subscribe(new Xz(r,(function(t){return A.call(e,t,n++)&&r.next(t)})))}))}var k8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={showActions:!0},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.cell.created,(function(e){e.cell.transform.parent===Gd.RootRef&&A.forceUpdate()})),this.subscribe(this.plugin.state.events.cell.removed,(function(e){e.parent===Gd.RootRef&&A.forceUpdate()}))},e.getDerivedStateFromProps=function(A,e){var t=A.state.tree.root.ref,r=0===A.state.tree.children.get(t).size;return e.showActions===r?null:{showActions:r}},e.prototype.render=function(){var A=this.props.state.tree.root.ref;return this.state.showActions?(0,Zz.jsxs)("div",w({style:{margin:"10px",cursor:"default"}},{children:[(0,Zz.jsx)("p",{children:"Nothing to see here yet."},void 0),(0,Zz.jsxs)("p",{children:["Structures and Volumes can be loaded from the ",(0,Zz.jsx)(yq,{svg:rW},void 0)," tab."]},void 0)]}),void 0):(0,Zz.jsx)(Y8,{cell:this.props.state.cells.get(A),depth:0},void 0)},e}(eX),Y8=function(A){function e(){var t=null!==A&&A.apply(this,arguments)||this;return t.state={isCollapsed:!!t.props.cell.state.isCollapsed,isNull:e.isNull(t.props.cell),showLabel:e.showLabel(t.props.cell)},t}return v(e,A),e.prototype.is=function(A){return A.ref===this.ref&&A.state===this.props.cell.parent},Object.defineProperty(e.prototype,"ref",{get:function(){return this.props.cell.transform.ref},enumerable:!1,configurable:!0}),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.cell.stateUpdated,(function(t){A.props.cell===t.cell&&A.is(t)&&t.state.cells.has(A.ref)&&(A.state.isCollapsed===!!t.cell.state.isCollapsed&&A.state.isNull===e.isNull(t.cell)&&A.state.showLabel===e.showLabel(t.cell)||A.forceUpdate())})),this.subscribe(this.plugin.state.events.cell.created,(function(e){A.props.cell.parent===e.state&&A.ref===e.cell.transform.parent&&A.forceUpdate()})),this.subscribe(this.plugin.state.events.cell.removed,(function(e){A.props.cell.parent===e.state&&A.ref===e.parent&&A.forceUpdate()}))},e.getDerivedStateFromProps=function(A,t){var r=e.isNull(A.cell),n=e.showLabel(A.cell);return!!A.cell.state.isCollapsed===t.isCollapsed&&t.isNull===r&&t.showLabel===n?null:{isCollapsed:!!A.cell.state.isCollapsed,isNull:r,showLabel:n}},e.hasDecorator=function(A){var e,t=A.parent.tree.children.get(A.transform.ref);return 1===t.size&&!!(null===(e=A.parent)||void 0===e?void 0:e.tree.transforms.get(t.first()).transformer.definition.isDecorator)},e.isNull=function(A){return!A||!A.parent||A.obj===Dd.Null||!A.parent.tree.transforms.has(A.transform.ref)},e.showLabel=function(A){return A.transform.ref!==Gd.RootRef&&("ok"!==A.status||!A.state.isGhost&&!e.hasDecorator(A))},e.prototype.render=function(){var A=this;if(this.state.isNull)return null;var t=this.props.cell,r=t.parent.tree.children.get(this.ref);if(!this.state.showLabel)return 0===r.size?null:(0,Zz.jsx)(Zz.Fragment,{children:r.map((function(r){return(0,Zz.jsx)(e,{cell:t.parent.cells.get(r),depth:A.props.depth},r)}))},void 0);var n=this.props.depth+1;return(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(_8,{cell:t,depth:this.props.depth},void 0),0===r.size?void 0:(0,Zz.jsx)("div",w({style:{display:this.state.isCollapsed?"none":"block"}},{children:r.map((function(A){return(0,Zz.jsx)(e,{cell:t.parent.cells.get(A),depth:n},A)}))}),void 0)]},void 0)},e}(eX),_8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={isCurrent:e.props.cell.parent.current===e.ref,isCollapsed:!!e.props.cell.state.isCollapsed,action:void 0,currentAction:void 0},e.setCurrent=function(A){null==A||A.preventDefault(),null==A||A.currentTarget.blur(),sV.State.SetCurrentObject(e.plugin,{state:e.props.cell.parent,ref:e.ref})},e.setCurrentRoot=function(A){null==A||A.preventDefault(),null==A||A.currentTarget.blur(),sV.State.SetCurrentObject(e.plugin,{state:e.props.cell.parent,ref:Gd.RootRef})},e.remove=function(A){null==A||A.preventDefault(),sV.State.RemoveObject(e.plugin,{state:e.props.cell.parent,ref:e.ref,removeParentGhosts:!0})},e.toggleVisible=function(A){A.preventDefault(),sV.State.ToggleVisibility(e.plugin,{state:e.props.cell.parent,ref:e.ref}),A.currentTarget.blur()},e.toggleExpanded=function(A){A.preventDefault(),sV.State.ToggleExpanded(e.plugin,{state:e.props.cell.parent,ref:e.ref}),A.currentTarget.blur()},e.highlight=function(A){A.preventDefault(),sV.Interactivity.Object.Highlight(e.plugin,{state:e.props.cell.parent,ref:e.ref}),A.currentTarget.blur()},e.clearHighlight=function(A){A.preventDefault(),sV.Interactivity.ClearHighlights(e.plugin),A.currentTarget.blur()},e.hideApply=function(){e.setCurrentRoot()},e.selectAction=function(A){A&&(null==A?void 0:A.value)()},e}return v(e,A),e.prototype.is=function(A){return A.ref===this.ref&&A.state===this.props.cell.parent},Object.defineProperty(e.prototype,"ref",{get:function(){return this.props.cell.transform.ref},enumerable:!1,configurable:!0}),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.cell.stateUpdated.pipe(x8((function(e){return A.is(e)})),z$(33)),(function(e){A.forceUpdate()})),this.subscribe(this.props.cell.parent.behaviors.currentObject,(function(e){A.is(e)?e.state.transforms.has(A.ref)&&A._setCurrent(A.props.cell.parent.current===A.ref,!!A.props.cell.state.isCollapsed):A.state.isCurrent&&e.state.transforms.has(A.ref)&&A._setCurrent(A.props.cell.parent.current===A.ref,A.state.isCollapsed)}))},e.prototype._setCurrent=function(A,e){A?this.setState({isCurrent:A,action:"options",currentAction:void 0,isCollapsed:e}):this.setState({isCurrent:A,action:void 0,currentAction:void 0,isCollapsed:e})},e.getDerivedStateFromProps=function(A,e){var t=A.cell.parent.current===A.cell.transform.ref,r=!!A.cell.state.isCollapsed;return e.isCollapsed===r&&e.isCurrent===t?null:{isCurrent:t,isCollapsed:r,action:void 0,currentAction:void 0}},Object.defineProperty(e.prototype,"actions",{get:function(){var A=this,e=this.props.cell,t=S([],e.parent.actions.fromCell(e,this.plugin),!0);if(0!==t.length)return t.sort((function(A,e){return A.definition.display.name<e.definition.display.name?-1:A.definition.display.name===e.definition.display.name?0:1})),S([nX.Header("Apply Action")],t.map((function(e){return nX.Item(e.definition.display.name,(function(){return A.setState({action:"apply",currentAction:e})}))})),!0)},enumerable:!1,configurable:!0}),e.prototype.updates=function(A){for(var e=this.props.cell,t=ME.getDecoratorChain(e.parent,e.transform.ref),r=[],n=t.length-1;n>=0;n--){var i=t[n];r.push((0,Zz.jsx)(C3,{state:e.parent,transform:i.transform,noMargin:!0,wrapInExpander:!0,expanderHeaderLeftMargin:A},"".concat(i.transform.transformer.id,"-").concat(n)))}return(0,Zz.jsx)("div",w({className:"msp-tree-updates-wrapper"},{children:r}),void 0)},e.prototype.render=function(){var A=this.props.cell,e=A.transform;if(!A)return null;var t,r=this.is(A.parent.behaviors.currentObject.value),n="error"!==A.status&&"ok"!==A.status;if("error"!==A.status&&A.obj){var i=A.obj,o="".concat(i.label," ").concat(i.description?i.description:"");t=(0,Zz.jsxs)(qW,w({className:"msp-btn-tree-label msp-type-class-".concat(i.type.typeClass),noOverflow:!0,disabled:n,title:o,onClick:this.state.isCurrent?this.setCurrentRoot:this.setCurrent},{children:[(0,Zz.jsx)("span",{children:i.label},void 0)," ",i.description?(0,Zz.jsx)("small",{children:i.description},void 0):void 0]}),void 0)}else{var a="error"===A.status?A.errorText:e.transformer.definition.display.name;t=(0,Zz.jsxs)(qW,w({className:"msp-btn-tree-label msp-no-hover-outline",noOverflow:!0,title:a,onClick:this.state.isCurrent?this.setCurrentRoot:this.setCurrent,disabled:n},{children:["error"===A.status&&(0,Zz.jsxs)("b",{children:["[",A.status,"]"]},void 0)," ",(0,Zz.jsx)("span",{children:a},void 0)]}),void 0)}var s=A.parent.tree.children.get(this.ref),u=A.state,g=(0,Zz.jsx)(ZW,{svg:u.isCollapsed?AZ:Xq,flex:"20px",disabled:n,onClick:this.toggleExpanded,transparent:!0,className:"msp-no-hover-outline",style:{visibility:s.size>0?"visible":"hidden"}},void 0),c=A.state.isLocked?void 0:(0,Zz.jsx)(ZW,{svg:JZ,onClick:this.remove,disabled:n,small:!0,toggleState:!1},void 0),B=(0,Zz.jsx)(ZW,{svg:u.isHidden?MW:xW,toggleState:!1,disabled:n,small:!0,onClick:this.toggleVisible},void 0),l={marginLeft:"".concat(8*this.props.depth,"px")},Q=(0,Zz.jsxs)("div",w({className:"msp-flex-row msp-tree-row".concat(r?" 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I=this.actions,d=this.updates("".concat(8*this.props.depth+21,"px"));return(0,Zz.jsxs)("div",w({style:{marginBottom:"1px"}},{children:[Q,d,I&&(0,Zz.jsx)("div",w({style:{marginLeft:"".concat(8*this.props.depth+21,"px"),marginTop:"-1px"}},{children:(0,Zz.jsx)(nX,{items:I,onSelect:this.selectAction},void 0)}),void 0)]}),void 0)}return Q},e}(eX),V8=function(A){function e(){var e,t=A.apply(this,arguments)||this;return t.state={tab:t.plugin.behaviors.layout.leftPanelTabName.value},t.set=function(A){if(t.state.tab===A)return t.setState({tab:"none"},(function(){return t.plugin.behaviors.layout.leftPanelTabName.next("none")})),void sV.Layout.Update(t.plugin,{state:{regionState:w(w({},t.plugin.layout.state.regionState),{left:"collapsed"})}});t.setState({tab:A},(function(){return t.plugin.behaviors.layout.leftPanelTabName.next(A)})),"full"!==t.plugin.layout.state.regionState.left&&sV.Layout.Update(t.plugin,{state:{regionState:w(w({},t.plugin.layout.state.regionState),{left:"full"})}})},t.tabs={none:(0,Zz.jsx)(Zz.Fragment,{},void 0),root:(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(zW,{icon:rW,title:"Home"},void 0),(0,Zz.jsx)(F8,{state:t.plugin.state.data,nodeRef:Gd.RootRef,hideHeader:!0,initiallyCollapsed:!0,alwaysExpandFirst:!0},void 0),"none"!==(null===(e=t.plugin.spec.components)||void 0===e?void 0:e.remoteState)&&(0,Zz.jsx)(M8,{listOnly:!0},void 0)]},void 0),data:(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(zW,{icon:Kq,title:(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(J8,{},void 0)," State Tree"]},void 0)},void 0),(0,Zz.jsx)(k8,{state:t.plugin.state.data},void 0)]},void 0),states:(0,Zz.jsx)(S8,{},void 0),settings:(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(zW,{icon:HW,title:"Plugin Settings"},void 0),(0,Zz.jsx)(P8,{},void 0)]},void 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A=this;this.subscribe(this.plugin.behaviors.layout.leftPanelTabName,(function(e){"data"===A.tab?A.setState({changed:!1}):A.forceUpdate()})),this.subscribe(this.plugin.state.data.events.changed,(function(e){"data"!==A.tab&&A.setState({changed:!0})}))},e.prototype.render=function(){var A=this;return(0,Zz.jsx)(ZW,{svg:Kq,toggleState:"data"===this.tab,transparent:!0,onClick:function(){return A.props.set("data")},title:"State Tree",style:{position:"relative"},extraContent:this.state.changed?(0,Zz.jsx)("div",{className:"msp-left-panel-controls-button-data-dirty"},void 0):void 0},void 0)},e}(eX),P8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.setSettings=function(A){var t;sV.Canvas3D.SetSettings(e.plugin,{settings:(t={},t[A.name]=A.value,t)})},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.events.canvas3d.settingsUpdated,(function(){return A.forceUpdate()})),this.subscribe(this.plugin.layout.events.updated,(function(){return A.forceUpdate()})),this.subscribe(this.plugin.canvas3d.camera.stateChanged,(function(e){void 0===e.radiusMax&&void 0===e.radius||A.forceUpdate()}))},e.prototype.render=function(){return(0,Zz.jsxs)(Zz.Fragment,{children:[this.plugin.canvas3d&&(0,Zz.jsxs)(Zz.Fragment,{children:[(0,Zz.jsx)(zW,{title:"Viewport"},void 0),(0,Zz.jsx)(UX,{params:MP,values:this.plugin.canvas3d.props,onChange:this.setSettings},void 0)]},void 0),(0,Zz.jsx)(zW,{title:"Behavior"},void 0),(0,Zz.jsx)(k8,{state:this.plugin.state.behaviors},void 0)]},void 0)},e}(eX),J8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.remove=function(A){A.preventDefault(),sV.State.RemoveObject(e.plugin,{state:e.plugin.state.data,ref:Gd.RootRef})},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.events.cell.created,(function(e){e.cell.transform.parent===Gd.RootRef&&A.forceUpdate()})),this.subscribe(this.plugin.state.events.cell.removed,(function(e){e.parent===Gd.RootRef&&A.forceUpdate()}))},e.prototype.render=function(){return 0===this.plugin.state.data.tree.children.get(Gd.RootRef).size?null:(0,Zz.jsx)(ZW,{svg:JZ,onClick:this.remove,title:"Remove All",style:{display:"inline-block"},small:!0,className:"msp-no-hover-outline",transparent:!0},void 0)},e}(eX),O8=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.parentDiv=mq.createRef(),e.lastMouseOverSeqIdx=-1,e.highlightQueue=new Sh,e.lociHighlightProvider=function(A,t){e.props.sequenceWrapper.markResidue(A.loci,t)&&e.updateMarker()},e.lociSelectionProvider=function(A,t){e.props.sequenceWrapper.markResidue(A.loci,t)&&e.updateMarker()},e.contextMenu=function(A){A.preventDefault()},e.mouseDownLoci=void 0,e.mouseDown=function(A){A.stopPropagation();var t=e.getSeqIdx(A),r=e.getLoci(t),n=NV(A.nativeEvent),i=RV(A.nativeEvent),o=HV(A.nativeEvent);e.click(r,n,i,o),e.mouseDownLoci=r},e.mouseUp=function(A){if(A.stopPropagation(),void 0!==e.mouseDownLoci){var t=e.getSeqIdx(A),r=e.getLoci(t);if(r&&!dI.areEqual(e.mouseDownLoci,r)){var n=NV(A.nativeEvent),i=RV(A.nativeEvent),o=HV(A.nativeEvent),a=e.mouseDownLoci.elements[0],s=r.elements[0],u=Math.min(Tn.min(a.indices),Tn.min(s.indices)),g=Math.max(Tn.max(a.indices),Tn.max(s.indices)),c=dI(r.structure,[{unit:a.unit,indices:Tn.ofRange(u,g)}]);e.click(dI.subtract(c,e.mouseDownLoci),n,i,o)}e.mouseDownLoci=void 0}},e.location=hc.create(void 0),e.mouseMove=function(A){A.stopPropagation();var t=NV(A.nativeEvent),r=RV(A.nativeEvent),n=HV(A.nativeEvent),i=A.target;if(!i||!i.getAttribute){if(-1===e.lastMouseOverSeqIdx)return;return e.lastMouseOverSeqIdx=-1,void e.highlightQueue.next({seqIdx:-1,buttons:t,button:r,modifiers:n})}var o=i.hasAttribute("data-seqid")?+i.getAttribute("data-seqid"):-1;if(e.lastMouseOverSeqIdx!==o)if(e.lastMouseOverSeqIdx=o,void 0!==e.mouseDownLoci){var a=e.getLoci(o);e.hover(a,0,0,w(w({},n),{shift:!0}))}else e.highlightQueue.next({seqIdx:o,buttons:t,button:r,modifiers:n})},e.mouseLeave=function(A){if(A.stopPropagation(),e.mouseDownLoci=void 0,-1!==e.lastMouseOverSeqIdx){e.lastMouseOverSeqIdx=-1;var t=NV(A.nativeEvent),r=RV(A.nativeEvent),n=HV(A.nativeEvent);e.highlightQueue.next({seqIdx:-1,buttons:t,button:r,modifiers:n})}},e}return v(e,A),Object.defineProperty(e.prototype,"sequenceNumberPeriod",{get:function(){return void 0!==this.props.sequenceNumberPeriod?this.props.sequenceNumberPeriod:this.props.sequenceWrapper.length>10?10:this.getSequenceNumber(this.props.sequenceWrapper.length-1).length>1?5:1},enumerable:!1,configurable:!0}),e.prototype.componentDidMount=function(){var A=this;this.plugin.managers.interactivity.lociHighlights.addProvider(this.lociHighlightProvider),this.plugin.managers.interactivity.lociSelects.addProvider(this.lociSelectionProvider),this.subscribe(z$(15)(this.highlightQueue),(function(e){var t=A.getLoci(e.seqIdx<0?void 0:e.seqIdx);A.hover(t,e.buttons,e.button,e.modifiers)}))},e.prototype.componentWillUnmount=function(){A.prototype.componentWillUnmount.call(this),this.plugin.managers.interactivity.lociHighlights.removeProvider(this.lociHighlightProvider),this.plugin.managers.interactivity.lociSelects.removeProvider(this.lociSelectionProvider)},e.prototype.getLoci=function(A){if(void 0!==A){var e=this.props.sequenceWrapper.getLoci(A);if(!dI.isEmpty(e))return e}},e.prototype.getSeqIdx=function(A){var e=void 0,t=A.target;return t&&t.getAttribute&&(e=t.hasAttribute("data-seqid")?+t.getAttribute("data-seqid"):void 0),e},e.prototype.hover=function(A,e,t,r){var n={current:vR.Loci.Empty,buttons:e,button:t,modifiers:r};void 0===A||dI.isEmpty(A)||(n.current={loci:A}),this.plugin.behaviors.interaction.hover.next(n)},e.prototype.click=function(A,e,t,r){var n={current:vR.Loci.Empty,buttons:e,button:t,modifiers:r};void 0===A||dI.isEmpty(A)||(n.current={loci:A}),this.plugin.behaviors.interaction.click.next(n)},e.prototype.getBackgroundColor=function(A){return void 0===A&&console.error("unexpected marker value"),0===A?"":A%2==0?"rgb(51, 255, 25)":"rgb(255, 102, 153)"},e.prototype.getResidueClass=function(A,e){return e.length>1?this.props.sequenceWrapper.residueClass(A)+(0===A?" msp-sequence-residue-long-begin":" msp-sequence-residue-long"):this.props.sequenceWrapper.residueClass(A)},e.prototype.residue=function(A,e,t){return(0,Zz.jsx)("span",w({"data-seqid":A,style:{backgroundColor:this.getBackgroundColor(t)},className:this.getResidueClass(A,e)},{children:"​".concat(e,"​")}),A)},e.prototype.getSequenceNumberClass=function(A,e,t){var r=["msp-sequence-number"];return e.startsWith("-")?t.length>1&&A>0?r.push("msp-sequence-number-long-negative"):r.push("msp-sequence-number-negative"):t.length>1&&A>0&&r.push("msp-sequence-number-long"),r.join(" ")},e.prototype.getSequenceNumber=function(A){var e="",t=this.props.sequenceWrapper.getLoci(A),r=dI.getFirstLocation(t,this.location);if(r)if(TB.isAtomic(r.unit)){var n=oQ.residue.auth_seq_id(r),i=oQ.residue.pdbx_PDB_ins_code(r);e="".concat(n).concat(i||"")}else TB.isCoarse(r.unit)&&(e="".concat(A+1));return e},e.prototype.padSeqNum=function(A){return A.length<5?A+new Array(5-A.length+1).join(" "):A},e.prototype.getSequenceNumberSpan=function(A,e){var t=this.getSequenceNumber(A);return(0,Zz.jsx)("span",w({className:this.getSequenceNumberClass(A,t,e)},{children:this.padSeqNum(t)}),"marker-".concat(A))},e.prototype.updateMarker=function(){if(this.parentDiv.current)for(var A=this.parentDiv.current.children,e=this.props.sequenceWrapper.markerArray,t=!this.props.hideSequenceNumbers,r=this.sequenceNumberPeriod,n=0,i=0,o=e.length;i<o;i++){t&&i%r==0&&i<o&&n++;var a=A[n];if(!a)return;n++;var s=this.getBackgroundColor(e[i]);a.style.backgroundColor!==s&&(a.style.backgroundColor=s)}},e.prototype.render=function(){for(var A=this.props.sequenceWrapper,e=[],t=!this.props.hideSequenceNumbers,r=this.sequenceNumberPeriod,n=0,i=A.length;n<i;++n){var o=A.residueLabel(n);t&&n%r==0&&n<i&&(e[e.length]=this.getSequenceNumberSpan(n,o)),e[e.length]=this.residue(n,o,A.markerArray[n])}return this.updateMarker(),(0,Zz.jsx)("div",w({className:"msp-sequence-wrapper",onContextMenu:this.contextMenu,onMouseDown:this.mouseDown,onMouseUp:this.mouseUp,onMouseMove:this.mouseMove,onMouseLeave:this.mouseLeave,ref:this.parentDiv},{children:e}),void 0)},e}(eX),K8=function(){function A(A,e,t){this.data=A,this.markerArray=e,this.length=t}return A.prototype.markResidue=function(A,e){return _N(A)?kN(this.markerArray,qr.ofLength(this.length),e):this.mark(A,e)},A}(),j8=function(A){function e(e){var t=this,r=hc.create(e.structure,e.units[0],e.units[0].elements[0]),n=e.units[0].model.sequence.byEntityKey[oQ.entity.key(r)],i=n.sequence.length,o=new Uint8Array(i);(t=A.call(this,e,o,i)||this).unitMap=new Map;for(var a=0,s=e.units;a<s.length;a++){var u=s[a];t.unitMap.set(u.id,u)}t.sequence=n.sequence,t.missing=e.units[0].model.properties.missingResidues,t.modelNum=e.units[0].model.modelNum,t.asymId=TB.isAtomic(e.units[0])?oQ.chain.label_asym_id(r):oQ.coarse.asym_id(r);for(var g=[],c=0;c<i;++c)t.missing.has(t.modelNum,t.asymId,t.seqId(c))&&g.push(c);return t.observed=Tn.subtract(qr.ofBounds(0,i),kn.ofSortedArray(g)),t}return v(e,A),e.prototype.seqId=function(A){return this.sequence.seqId.value(A)},e.prototype.residueLabel=function(A){return this.sequence.label.value(A)||this.sequence.code.value(A)},e.prototype.residueColor=function(A){return this.missing.has(this.modelNum,this.asymId,this.seqId(A))?Rr.grey:Rr.black},e.prototype.residueClass=function(A){return this.missing.has(this.modelNum,this.asymId,this.seqId(A))?"msp-sequence-missing":"msp-sequence-present"},e.prototype.mark=function(A,e){var t=this,r=!1,n=this.data.structure,i=function(A){return t.sequence.index(A)};if(dI.is(A)){if(!BI.areRootsEquivalent(A.structure,n))return!1;for(var o=0,a=(A=dI.remap(A,n)).elements;o<a.length;o++){var s=a[o];this.unitMap.has(s.unit.id)&&(r=TB.isAtomic(s.unit)?z8(s,e,this.markerArray,i)||r:q8(s,e,this.markerArray,i)||r)}}else if(BI.isLoci(A)){if(!BI.areRootsEquivalent(A.structure,n))return!1;kN(this.markerArray,this.observed,e)&&(r=!0)}return r},e.prototype.getLoci=function(A){var e,t,r,n=(e=this.data.units[0].chainGroupId,t=this.data.units[0].conformation.operator.name,r=this.seqId(A),OQ.generators.atoms({unitTest:function(A){return oQ.unit.chainGroupId(A.element)===e&&oQ.unit.operator_name(A.element)===t},residueTest:function(A){return 0===A.element.unit.kind?oQ.residue.label_seq_id(A.element)===r:oQ.coarse.seq_id_begin(A.element)<=r&&oQ.coarse.seq_id_end(A.element)>=r}}));return KB.toLociWithSourceUnits(sl.run(n,this.data.structure))},e}(K8);function z8(A,e,t,r){var n=A.unit,i=n.model,o=n.elements,a=i.atomicHierarchy.residueAtomSegments.index,s=i.atomicHierarchy.residues.label_seq_id;return Tn.forEachSegment(A.indices,(function(A){return a[o[A]]}),(function(A){var n=s.value(A);xN(t,r(n),e)})),!0}function q8(A,e,t,r){var n=A.unit,i=n.model,o=n.elements,a=TB.isSpheres(A.unit)?i.coarseHierarchy.spheres.seq_id_begin:i.coarseHierarchy.gaussians.seq_id_begin,s=TB.isSpheres(A.unit)?i.coarseHierarchy.spheres.seq_id_end:i.coarseHierarchy.gaussians.seq_id_end;return Tn.forEach(A.indices,(function(A){for(var n=o[A],i=r(a.value(n)),u=r(s.value(n));i<=u;i++)xN(t,i,e)})),!0}var Z8=function(A){function e(e){for(var t=this,r=[],n=new Map,i=new Map,o=new Map,a=0,s=e.units.length;a<s;++a)for(var u=(E=e.units[a]).model.atomicHierarchy,g=u.residueAtomSegments,c=u.atoms,B=vi.transientSegments(g,E.elements);B.hasNext;){var l=B.move().index;n.set(l,r.length),i.set(r.length,l),o.set(r.length,E),r.push(c.label_comp_id.value(g.offsets[l]))}var Q=r.length,I=new Uint8Array(Q);(t=A.call(this,e,I,Q)||this).unitMap=new Map;for(var d=0,h=e.units;d<h.length;d++){var E=h[d];t.unitMap.set(E.id,E)}return t.sequence=r,t.sequenceIndices=n,t.residueIndices=i,t.seqToUnit=o,t}return v(e,A),e.prototype.residueLabel=function(A){return this.sequence[A]},e.prototype.residueColor=function(A){return Rr.black},e.prototype.residueClass=function(A){return"msp-sequence-present"},e.prototype.mark=function(A,e){var t=this,r=!1,n=this.data.structure;if(dI.is(A)){if(!BI.areRootsEquivalent(A.structure,n))return!1;A=dI.remap(A,n);for(var i=function(A){var n=o.unitMap.get(A.unit.id);if(n){var i=A.unit.model.atomicHierarchy.residueAtomSegments.index;Tn.forEach(A.indices,(function(A){var o=t.sequenceIndices.get(i[n.elements[A]]);void 0!==o&&kN(t.markerArray,qr.ofSingleton(o),e)&&(r=!0)}))}},o=this,a=0,s=A.elements;a<s.length;a++)i(s[a])}else if(BI.isLoci(A)){if(!BI.areRootsEquivalent(A.structure,n))return!1;kN(this.markerArray,qr.ofBounds(0,this.length),e)&&(r=!0)}return r},e.prototype.getLoci=function(A){var e=[],t=this.residueIndices.get(A);if(void 0!==t){var r=this.seqToUnit.get(A),n=r.model.atomicHierarchy.residueAtomSegments.offsets,i=kn.findPredecessorIndex(r.elements,n[t]),o=kn.findPredecessorIndex(r.elements,n[t+1]);e.push({unit:r,indices:qr.ofBounds(i,o)})}return dI(this.data.structure,e)},e}(K8),W8=function(A){function e(e){for(var t=this,r=0,n=0,i=[],o=hc.create(e.structure),a=new Map,s=[],u=0,g=e.units.length;u<g;++u){var c=e.units[u];hc.set(o,e.structure,c,c.elements[0]);var B=c.model.sequence.byEntityKey[oQ.entity.key(o)];B&&(r+=B.sequence.length),n+=c.elements.length;var l=qr.ofBounds(0,c.elements.length);a.set(c.id,l),s.push({unit:c,indices:l})}r>0&&i.push("".concat(r," residues")),i.push("".concat(n," elements"));var Q=new Uint8Array(1);return(t=A.call(this,e,Q,1)||this).label="Whole Chain (".concat(i.join(", "),")"),t.unitIndices=a,t.loci=dI(t.data.structure,s),t}return v(e,A),e.prototype.residueLabel=function(A){return this.label},e.prototype.residueColor=function(A){return Rr.black},e.prototype.residueClass=function(A){return"msp-sequence-present"},e.prototype.mark=function(A,e){var t=!1,r=this.data.structure;if(dI.is(A)){if(!BI.areRootsEquivalent(A.structure,r))return!1;for(var n=0,i=(A=dI.remap(A,r)).elements;n<i.length;n++){var o=i[n],a=this.unitIndices.get(o.unit.id);a&&Tn.isSubset(a,o.indices)&&kN(this.markerArray,qr.ofSingleton(0),e)&&(t=!0)}}else if(BI.isLoci(A)){if(!BI.areRootsEquivalent(A.structure,r))return!1;kN(this.markerArray,qr.ofSingleton(0),e)&&(t=!0)}return t},e.prototype.getLoci=function(A){return this.loci},e}(K8),X8=function(A){function e(e){for(var t=this,r=0,n=new Map,i=[],o=0,a=e.units.length;o<a;++o){var s=e.units[o];r+=s.elements.length;var u=qr.ofBounds(0,s.elements.length);n.set(s.id,u),i.push({unit:s,indices:u})}var g=new Uint8Array(r);return(t=A.call(this,e,g,r)||this).unitIndices=n,t}return v(e,A),e.prototype.residueLabel=function(A){return"X"},e.prototype.residueColor=function(A){return Rr.black},e.prototype.residueClass=function(A){return"msp-sequence-present"},e.prototype.mark=function(A,e){var t=!1,r=this.data,n=r.structure,i=r.units;if(dI.is(A)){if(!BI.areRootsEquivalent(A.structure,n))return!1;for(var o=0,a=(A=dI.remap(A,n)).elements;o<a.length;o++){var s=a[o];(c=this.unitIndices.get(s.unit.id))&&Tn.isSubset(c,s.indices)&&kN(this.markerArray,s.indices,e)&&(t=!0)}}else if(BI.isLoci(A)){if(!BI.areRootsEquivalent(A.structure,n))return!1;for(var u=0,g=i.length;u<g;++u){var c=this.unitIndices.get(i[u].id);kN(this.markerArray,c,e)&&(t=!0)}}return t},e.prototype.getLoci=function(A){for(var e=this.data.units,t=[],r=0,n=0,i=e.length;n<i;++n){var o=e[n];if(A<r+o.elements.length){t.push({unit:o,indices:qr.ofSingleton(A-r)});break}r+=o.elements.length}return dI(this.data.structure,t)},e}(K8),$8=5e3,A5=1e3;function e5(A){var e=oQ.unit.pdbx_struct_oper_list_ids(A),t=oQ.unit.struct_ncs_oper_id(A),r=oQ.unit.hkl(A),n=oQ.unit.spgrOp(A);return"".concat(e.sort().join(","),"|").concat(t,"|").concat(r,"|").concat(n)}function t5(A){var e=A.split("|"),t=e[0],r=e[1];return[parseInt(t),r]}function r5(A,e){for(var t=A.structure,r=A.modelEntityId,n=A.chainGroupId,i=A.operatorKey,o=hc.create(t),a=t5(r),s=a[0],u=a[1],g=[],c=0,B=t.units;c<B.length;c++){var l=B[c];hc.set(o,t,l,l.elements[0]),t.getModelIndex(l.model)===s&&oQ.entity.id(o)===u&&l.chainGroupId===n&&e5(o)===i&&g.push(l)}if(g.length>0){var Q={structure:t,units:g},I=void 0;if((l=g[0]).polymerElements.length){var d=hc.create(t,l,l.elements[0]),h=l.model.sequence.byEntityKey[oQ.entity.key(d)];if(h&&h.sequence.length<=$8)I=new j8(Q);else{var E=g.reduce((function(A,e){return A+e.polymerElements.length}),0);I=TB.isAtomic(l)||E>$8?new W8(Q):new X8(Q)}}else if(TB.isAtomic(l)){var f=g.reduce((function(A,e){return A+e.residueCount}),0);I=f>$8?new W8(Q):new Z8(Q)}else console.warn("should not happen, expecting coarse units to be polymeric"),I=new W8(Q);return I.markResidue(e.getLoci(t),NN.Select),I}return"No sequence available"}function n5(A,e){void 0===e&&(e=!1);for(var t=[],r=hc.create(A),n=new Set,i=0,o=A.units;i<o.length;i++){var a=o[i];hc.set(r,A,a,a.elements[0]);var s=oQ.entity.id(r),u=A.getModelIndex(a.model),g="".concat(u,"|").concat(s);if(!(n.has(g)||e&&"polymer"!==oQ.entity.type(r))){var c=oQ.entity.pdbx_description(r).join(", ");A.models.length&&(A.representativeModel?c+=" (Model ".concat(A.models[u].modelNum,")"):c.startsWith("Polymer ")&&(c+=" (".concat(A.models[u].entry,")")));var B="".concat(s,": ").concat(c);if(t.push([g,B]),n.add(g),t.length>A5)return[["","Too many entities"]]}}return 0===t.length&&t.push(["","No entities"]),t}function i5(A,e){for(var t=[],r=hc.create(A),n=new Set,i=t5(e),o=i[0],a=i[1],s=0,u=A.units;s<u.length;s++){var g=u[s];if(hc.set(r,A,g,g.elements[0]),A.getModelIndex(g.model)===o&&oQ.entity.id(r)===a){var c=g.chainGroupId;if(!n.has(c)){var B=uH(r,{granularity:"chain",hidePrefix:!0,htmlStyling:!1});if(t.push([c,B]),n.add(c),t.length>A5)return[[-1,"Too many chains"]]}}}return 0===t.length&&t.push([-1,"No chains"]),t}function o5(A,e,t){for(var r=[],n=hc.create(A),i=new Set,o=t5(e),a=o[0],s=o[1],u=0,g=A.units;u<g.length;u++){var c=g[u];if(hc.set(n,A,c,c.elements[0]),A.getModelIndex(c.model)===a&&oQ.entity.id(n)===s&&c.chainGroupId===t){var B=e5(n);if(!i.has(B)){var l=c.conformation.operator.name;if(r.push([B,l]),i.add(B),r.length>A5)return[["","Too many operators"]]}}}return 0===r.length&&r.push(["","No operators"]),r}function a5(A){for(var e,t=[],r=[],n=0,i=A.select(xd.Generators.rootsOfType(qf.Molecule.Structure));n<i.length;n++){var o=i[n];(null===(e=o.obj)||void 0===e?void 0:e.data)&&(r.push(o.obj.data),t.push([o.transform.ref,o.obj.data.label]))}return 0===t.length&&t.push(["","No structure"]),{options:t,all:r}}var s5=ir.Select("single",[["single","Chain"],["polymers","Polymers"],["all","Everything"]]),u5=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={structureOptions:{options:[],all:[]},structure:BI.Empty,structureRef:"",modelEntityId:"",chainGroupId:-1,operatorKey:"",mode:"single"},e.setParamProps=function(A){var t=w({},e.state);switch(A.name){case"mode":if(t.mode=A.value,e.state.mode===t.mode)return;if("all"===t.mode||"polymers"===t.mode)break;case"structure":"structure"===A.name&&(t.structureRef=A.value),t.structure=e.getStructure(t.structureRef),t.modelEntityId=n5(t.structure)[0][0],t.chainGroupId=i5(t.structure,t.modelEntityId)[0][0],t.operatorKey=o5(t.structure,t.modelEntityId,t.chainGroupId)[0][0];break;case"entity":t.modelEntityId=A.value,t.chainGroupId=i5(t.structure,t.modelEntityId)[0][0],t.operatorKey=o5(t.structure,t.modelEntityId,t.chainGroupId)[0][0];break;case"chain":t.chainGroupId=A.value,t.operatorKey=o5(t.structure,t.modelEntityId,t.chainGroupId)[0][0];break;case"operator":t.operatorKey=A.value}e.setState(t)},e}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.plugin.state.data.select(xd.Generators.rootsOfType(qf.Molecule.Structure)).length>0&&this.setState(this.getInitialState()),this.subscribe(this.plugin.state.events.object.updated,(function(e){var t=e.ref,r=e.obj;t===A.state.structureRef&&r&&r.type===qf.Molecule.Structure.type&&r.data!==A.state.structure&&A.sync()})),this.subscribe(this.plugin.state.events.object.created,(function(e){var t=e.obj;t&&t.type===qf.Molecule.Structure.type&&A.sync()})),this.subscribe(this.plugin.state.events.object.removed,(function(e){var t=e.obj;t&&t.type===qf.Molecule.Structure.type&&t.data===A.state.structure&&A.sync()}))},e.prototype.sync=function(){yr(a5(this.plugin.state.data).all,this.state.structureOptions.all)||this.setState(this.getInitialState())},e.prototype.getStructure=function(A){var e=this.plugin.state.data.select(A)[0];return A&&e&&e.obj?e.obj.data:BI.Empty},e.prototype.getSequenceWrapper=function(A){return{wrapper:r5(this.state,this.plugin.managers.structure.selection),label:"".concat(ir.optionLabel(A.chain,this.state.chainGroupId)," | ").concat(ir.optionLabel(A.entity,this.state.modelEntityId))}},e.prototype.getSequenceWrappers=function(A){if("single"===this.state.mode)return[this.getSequenceWrapper(A)];for(var e=this.getStructure(this.state.structureRef),t=[],r=0,n=n5(e,"polymers"===this.state.mode);r<n.length;r++)for(var i=n[r],o=i[0],a=i[1],s=0,u=i5(e,o);s<u.length;s++)for(var g=u[s],c=g[0],B=g[1],l=0,Q=o5(e,o,c);l<Q.length;l++){var I=Q[l][0];if(t.push({wrapper:r5({structure:e,modelEntityId:o,chainGroupId:c,operatorKey:I},this.plugin.managers.structure.selection),label:"".concat(B," | ").concat(a)}),t.length>30)return[]}return t},e.prototype.getInitialState=function(){var A,e=a5(this.plugin.state.data),t=e.options[0][0],r=this.getStructure(t),n=n5(r)[0][0],i=i5(r,n)[0][0],o=o5(r,n,i)[0][0];return this.state.structure&&this.state.structure===r&&(n=this.state.modelEntityId,i=this.state.chainGroupId,o=this.state.operatorKey),{structureOptions:e,structure:r,structureRef:t,modelEntityId:n,chainGroupId:i,operatorKey:o,mode:null!==(A=this.props.defaultMode)&&void 0!==A?A:"single"}},Object.defineProperty(e.prototype,"params",{get:function(){var A=this.state,e=A.structureOptions,t=A.structure,r=A.modelEntityId,n=A.chainGroupId,i=n5(t),o=i5(t,r),a=o5(t,r,n);return{structure:ir.Select(e.options[0][0],e.options,{shortLabel:!0}),entity:ir.Select(i[0][0],i,{shortLabel:!0}),chain:ir.Select(o[0][0],o,{shortLabel:!0,twoColumns:!0,label:"Chain"}),operator:ir.Select(a[0][0],a,{shortLabel:!0,twoColumns:!0}),mode:s5}},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"values",{get:function(){return{structure:this.state.structureRef,entity:this.state.modelEntityId,chain:this.state.chainGroupId,operator:this.state.operatorKey,mode:this.state.mode}},enumerable:!1,configurable:!0}),e.prototype.render=function(){if(this.getStructure(this.state.structureRef)===BI.Empty)return(0,Zz.jsx)("div",w({className:"msp-sequence"},{children:(0,Zz.jsxs)("div",w({className:"msp-sequence-select"},{children:[(0,Zz.jsx)(yq,{svg:eW,style:{cursor:"help",position:"absolute",right:0,top:0},title:"Shows a sequence of one or more chains. Use the controls to alter selection."},void 0),(0,Zz.jsx)("span",{children:"Sequence"},void 0),(0,Zz.jsx)("span",w({style:{fontWeight:"normal"}},{children:"No structure available"}),void 0)]}),void 0)}),void 0);var A=this.params,e=this.values,t=this.getSequenceWrappers(A);return(0,Zz.jsxs)("div",w({className:"msp-sequence"},{children:[(0,Zz.jsxs)("div",w({className:"msp-sequence-select"},{children:[(0,Zz.jsx)(yq,{svg:eW,style:{cursor:"help",position:"absolute",right:0,top:0},title:"This shows a single sequence. Use the controls to show a different sequence."},void 0),(0,Zz.jsx)("span",{children:"Sequence of"},void 0),(0,Zz.jsx)(VX,{title:"[Structure] ".concat(ir.optionLabel(A.structure,e.structure)),param:A.structure,name:"structure",value:e.structure,onChange:this.setParamProps},void 0),(0,Zz.jsx)(VX,{title:"[Mode]",param:s5,name:"mode",value:e.mode,onChange:this.setParamProps},void 0),"single"===e.mode&&(0,Zz.jsx)(VX,{title:"[Entity] ".concat(ir.optionLabel(A.entity,e.entity)),param:A.entity,name:"entity",value:e.entity,onChange:this.setParamProps},void 0),"single"===e.mode&&(0,Zz.jsx)(VX,{title:"[Chain] ".concat(ir.optionLabel(A.chain,e.chain)),param:A.chain,name:"chain",value:e.chain,onChange:this.setParamProps},void 0),A.operator.options.length>1&&(0,Zz.jsx)(Zz.Fragment,{children:(0,Zz.jsx)(VX,{title:"[Instance] ".concat(ir.optionLabel(A.operator,e.operator)),param:A.operator,name:"operator",value:e.operator,onChange:this.setParamProps},void 0)},void 0)]}),void 0),(0,Zz.jsx)(g5,{children:t.map((function(A,t){var r="string"==typeof A.wrapper?(0,Zz.jsx)("div",w({className:"msp-sequence-wrapper"},{children:A.wrapper}),t):(0,Zz.jsx)(O8,{sequenceWrapper:A.wrapper},t);return"single"===e.mode?r:(0,Zz.jsxs)(mq.Fragment,{children:[(0,Zz.jsx)("div",w({className:"msp-sequence-chain-label"},{children:A.label}),void 0),r]},t)}))},void 0)]}),void 0)},e}(eX);function g5(A){var e=A.children;return(0,Zz.jsx)("div",w({className:"msp-sequence-wrapper-non-empty"},{children:e}),void 0)}var c5=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.state={tracked:(0,Md.OrderedMap)()},e}return v(e,A),e.prototype.componentDidMount=function(){var A,e=this,t=!!(null===(A=this.plugin.spec.components)||void 0===A?void 0:A.hideTaskOverlay);this.subscribe(this.plugin.events.task.progress.pipe(x8((function(A){return"background"===A.level&&(t||!A.useOverlay)}))),(function(A){e.setState({tracked:e.state.tracked.set(A.id,A)})})),this.subscribe(this.plugin.events.task.finished,(function(A){var t=A.id;e.setState({tracked:e.state.tracked.delete(t)})}))},e.prototype.render=function(){return(0,Zz.jsx)("div",w({className:"msp-background-tasks"},{children:this.state.tracked.valueSeq().map((function(A){return(0,Zz.jsx)(B5,{event:A},A.id)}))}),void 0)},e}(eX),B5=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.abort=function(){e.plugin.managers.task.requestAbort(e.props.event.progress.root.progress.taskId,"User Request")},e}return v(e,A),e.prototype.render=function(){var A=this.props.event.progress.root,e=l5(this.props.event.progress.root)-1,t=A.progress.isIndeterminate?void 0:(0,Zz.jsxs)(Zz.Fragment,{children:["[",A.progress.current,"/",A.progress.max,"]"]},void 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0===this.state.tracked.size?null:(0,Zz.jsx)("div",w({className:"msp-overlay-tasks"},{children:this.state.tracked.valueSeq().map((function(A){return(0,Zz.jsx)(B5,{event:A},A.id)}))}),void 0)},e}(eX),I5=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.hide=function(){(e.props.entry.hide||function(){}).call(null)},e}return v(e,A),e.prototype.render=function(){var A=this,e=this.props.entry,t="string"==typeof e.message?(0,Zz.jsx)("div",{dangerouslySetInnerHTML:{__html:e.message}},void 0):(0,Zz.jsx)("div",{children:(0,Zz.jsx)(e.message,{},void 0)},void 0);return(0,Zz.jsxs)("div",w({className:"msp-toast-entry"},{children:[(0,Zz.jsx)("div",w({className:"msp-toast-title",onClick:function(){return A.hide()}},{children:e.title}),void 0),(0,Zz.jsx)("div",w({className:"msp-toast-message"},{children:t}),void 0),(0,Zz.jsx)("div",{className:"msp-toast-clear"},void 0),(0,Zz.jsx)("div",w({className:"msp-toast-hide"},{children:(0,Zz.jsx)(ZW,{svg:mZ,onClick:this.hide,title:"Hide",className:"msp-no-hover-outline"},void 0)}),void 0)]}),void 0)},e}(eX),d5=function(A){function e(){return null!==A&&A.apply(this,arguments)||this}return v(e,A),e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.managers.toast.events.changed,(function(){return A.forceUpdate()}))},e.prototype.render=function(){var A=this.plugin.managers.toast.state;if(!A.entries.count())return null;var e=[];return A.entries.forEach((function(A,t){return e.push(A)})),e.sort((function(A,e){return A.serialNumber-e.serialNumber})),(0,Zz.jsx)("div",w({className:"msp-toast-container"},{children:e.map((function(A){return(0,Zz.jsx)(I5,{entry:A},A.serialNumber)}))}),void 0)},e}(eX),h5=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.container=mq.createRef(),e.canvas=mq.createRef(),e.state={noWebGl:!1,showLogo:!0},e.handleLogo=function(){var A;e.setState({showLogo:!(null===(A=e.plugin.canvas3d)||void 0===A?void 0:A.reprCount.value)})},e}return v(e,A),e.prototype.componentDidMount=function(){this.canvas.current&&this.container.current&&this.plugin.initViewer(this.canvas.current,this.container.current)?(this.handleLogo(),this.subscribe(this.plugin.canvas3d.reprCount,this.handleLogo)):this.setState({noWebGl:!0})},e.prototype.componentWillUnmount=function(){A.prototype.componentWillUnmount.call(this)},e.prototype.renderMissing=function(){if(this.props.noWebGl){var A=this.props.noWebGl;return(0,Zz.jsx)(A,{},void 0)}return(0,Zz.jsx)("div",w({className:"msp-no-webgl"},{children:(0,Zz.jsxs)("div",{children:[(0,Zz.jsx)("p",{children:(0,Zz.jsx)("b",{children:"WebGL does not seem to be available."},void 0)},void 0),(0,Zz.jsx)("p",{children:"This can be caused by an outdated browser, graphics card driver issue, or bad weather. Sometimes, just restarting the browser helps."},void 0),(0,Zz.jsxs)("p",{children:["For a list of supported browsers, refer to ",(0,Zz.jsx)("a",w({href:"http://caniuse.com/#feat=webgl",target:"_blank"},{children:"http://caniuse.com/#feat=webgl"}),void 0),"."]},void 0)]},void 0)}),void 0)},e.prototype.render=function(){if(this.state.noWebGl)return this.renderMissing();var A=this.props.logo;return(0,Zz.jsxs)("div",w({className:this.props.parentClassName||"msp-viewport",style:this.props.parentStyle},{children:[(0,Zz.jsx)("div",w({className:this.props.hostClassName||"msp-viewport-host3d",style:this.props.hostStyle,ref:this.container},{children:(0,Zz.jsx)("canvas",{ref:this.canvas},void 0)}),void 0),this.state.showLogo&&A&&(0,Zz.jsx)(A,{},void 0)]}),void 0)},e}(eX);function E5(A){var e=(0,mq.useState)({})[1],t=(0,mq.useRef)();return t.current=null==A?void 0:A.value,(0,mq.useEffect)((function(){if(A){var r=A.subscribe((function(A){t.current!==A&&e({})}));return function(){return 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n.build().to(A).apply(wM.Model.StructureFromModel,{type:e||{name:"assembly",params:{}}},{state:t}).commit({revertOnError:!0})},A.prototype.insertStructureProperties=function(A,e){return this.dataState.build().to(A).apply(wM.Model.CustomStructureProperties,e).commit({revertOnError:!0})},A.prototype.isComponentTransform=function(A){return A.transform.transformer===wM.Model.StructureComponent},A.prototype.tryCreateComponent=function(A,e,t,r){var n,i;return F(this,void 0,void 0,(function(){var o,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:return o=this.dataState,a=o.build().to(A),s="structure-component-".concat(t),[4,(u=a.applyOrUpdateTagged(s,wM.Model.StructureComponent,e,{tags:r?S(S([],r,!0),[s],!1):[s]})).commit()];case 1:return c.sent(),(g=u.selector).isOk&&0!==(null===(i=null===(n=g.cell)||void 0===n?void 0:n.obj)||void 0===i?void 0:i.data.elementCount)?[3,3]:[4,o.build().delete(g.ref).commit()];case 2:return c.sent(),[2];case 3:return[2,g]}}))}))},A.prototype.tryCreateComponentFromExpression=function(A,e,t,r){return this.tryCreateComponent(A,{type:{name:"expression",params:e},nullIfEmpty:!0,label:((null==r?void 0:r.label)||"").trim()},t,null==r?void 0:r.tags)},A.prototype.tryCreateComponentStatic=function(A,e,t){return this.tryCreateComponent(A,{type:{name:"static",params:e},nullIfEmpty:!0,label:((null==t?void 0:t.label)||"").trim()},"static-".concat(e),null==t?void 0:t.tags)},A.prototype.tryCreateComponentFromSelection=function(A,e,t,r){var n=this;return this.plugin.runTask(Pe.create("Query Component",(function(i){return F(n,void 0,void 0,(function(){var n,o,a,s,u,g,c,B,l,Q,I,d;return U(this,(function(h){switch(h.label){case 0:return o=(n=r||{}).label,a=n.tags,o=(o||"").trim(),(s=null===(d=null===(I=Sd.resolveAndCheck(this.dataState,A))||void 0===I?void 0:I.obj)||void 0===d?void 0:d.data)?e.referencesCurrent?(l={},Q={name:"bundle"},B=(c=jB).fromSelection,[4,e.getSelection(this.plugin,i,s)]):[3,2]:[2];case 1:return l.type=(Q.params=B.apply(c,[h.sent()]),Q),l.nullIfEmpty=!0,l.label=o||e.label,g=l,[3,3];case 2:g={type:{name:"expression",params:e.expression},nullIfEmpty:!0,label:o||e.label},h.label=3;case 3:return u=g,e.ensureCustomProperties?[4,e.ensureCustomProperties({runtime:i,assetManager:this.plugin.managers.asset},s)]:[3,5];case 4:h.sent(),h.label=5;case 5:return[2,this.tryCreateComponent(A,u,t,a)]}}))}))})))},A}();!function(A){A.create=function(A){var e=A.name;return{descriptor:A,get:function(A){return A._propertyData[e]},set:function(t,r){t.customProperties.add(A),t._propertyData[e]=r}}}}(A9||(A9={})),function(A){A.Descriptor={name:"recommended_iso_value"},A.Provider=A9.create(A.Descriptor)}(e9||(e9={}));var s9="Volume";function u9(A,e){return F(this,void 0,void 0,(function(){var t,r=this;return U(this,(function(n){return e&&(t=e.entryId)&&t.toLowerCase().startsWith("emd")?[2,A.runTask(Pe.create("Try Set Recommended IsoValue",(function(n){return F(r,void 0,void 0,(function(){var r,i;return U(this,(function(o){switch(o.label){case 0:return o.trys.push([0,2,,3]),[4,y4(A,n,t)];case 1:return r=o.sent(),e9.Provider.set(e,Ly.IsoValue.absolute(r)),[3,3];case 2:return i=o.sent(),console.warn(i),[3,3];case 3:return[2]}}))}))})))]:[2]}))}))}function g9(A){var e=e9.Provider.get(A);if(e){if("relative"===e.kind)return e;var t=A.grid.stats;return $F.is(A.sourceData)&&(t={min:A.sourceData.data.volume_data_3d_info.min_source.value(0),max:A.sourceData.data.volume_data_3d_info.max_source.value(0),mean:A.sourceData.data.volume_data_3d_info.mean_source.value(0),sigma:A.sourceData.data.volume_data_3d_info.sigma_source.value(0)}),Ly.IsoValue.toRelative(e,t)}}function c9(A,e){return F(this,void 0,void 0,(function(){var t,r;return U(this,(function(n){switch(n.label){case 0:return t={},(r=e.volume.data&&g9(e.volume.data))&&(t.isoValue=r),[4,A.build().to(e.volume).apply(wM.Representation.VolumeRepresentation3D,$2(A,e.volume.data,{type:"isosurface",typeParams:t})).commit()];case 1:return[2,[n.sent()]]}}))}))}var B9,l9={label:"CCP4/MRC/MAP",description:"CCP4/MRC/MAP",category:s9,binaryExtensions:["ccp4","mrc","map"],parse:function(A,e,t){return F(void 0,void 0,void 0,(function(){var r,n;return U(this,(function(i){switch(i.label){case 0:return r=A.build().to(e).apply(wM.Data.ParseCcp4,{},{state:{isGhost:!0}}),n=r.apply(wM.Volume.VolumeFromCcp4,{entryId:null==t?void 0:t.entryId}),[4,r.commit({revertOnError:!0})];case 1:return i.sent(),[4,u9(A,n.selector.data)];case 2:return i.sent(),[2,{format:r.selector,volume:n.selector}]}}))}))},visuals:c9},Q9={label:"DSN6/BRIX",description:"DSN6/BRIX",category:s9,binaryExtensions:["dsn6","brix"],parse:function(A,e,t){return F(void 0,void 0,void 0,(function(){var r,n;return U(this,(function(i){switch(i.label){case 0:return r=A.build().to(e).apply(wM.Data.ParseDsn6,{},{state:{isGhost:!0}}),n=r.apply(wM.Volume.VolumeFromDsn6,{entryId:null==t?void 0:t.entryId}),[4,r.commit({revertOnError:!0})];case 1:return i.sent(),[4,u9(A,n.selector.data)];case 2:return i.sent(),[2,{format:r.selector,volume:n.selector}]}}))}))},visuals:c9},I9={label:"DX",description:"DX",category:s9,stringExtensions:["dx"],binaryExtensions:["dxbin"],parse:function(A,e,t){return F(void 0,void 0,void 0,(function(){var r,n;return U(this,(function(i){switch(i.label){case 0:return r=A.build().to(e).apply(wM.Data.ParseDx,{},{state:{isGhost:!0}}),[4,(n=r.apply(wM.Volume.VolumeFromDx,{entryId:null==t?void 0:t.entryId})).commit({revertOnError:!0})];case 1:return i.sent(),[4,u9(A,n.selector.data)];case 2:return i.sent(),[2,{volume:n.selector}]}}))}))},visuals:c9},d9={label:"Cube",description:"Cube",category:s9,stringExtensions:["cub","cube"],parse:function(A,e,t){return F(void 0,void 0,void 0,(function(){var r,n,i;return U(this,(function(o){switch(o.label){case 0:return r=A.build().to(e).apply(wM.Data.ParseCube,{},{state:{isGhost:!0}}),n=r.apply(wM.Volume.VolumeFromCube,{entryId:null==t?void 0:t.entryId}),i=r.apply(wM.Model.TrajectoryFromCube,void 0,{state:{isGhost:!0}}).apply(wM.Model.ModelFromTrajectory).apply(wM.Model.StructureFromModel),[4,r.commit({revertOnError:!0})];case 1:return o.sent(),[4,u9(A,n.selector.data)];case 2:return o.sent(),[2,{format:r.selector,volume:n.selector,structure:i.selector}]}}))}))},visuals:function(A,e){return F(void 0,void 0,void 0,(function(){var t,r,n,i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:return t=A.build(),r=[],(n=null===(c=null===(g=e.volume.cell)||void 0===g?void 0:g.obj)||void 0===c?void 0:c.data)&&Ly.isOrbitals(n)?(i=t.to(e.volume).apply(wM.Representation.VolumeRepresentation3D,$2(A,n,{type:"isosurface",typeParams:{isoValue:Ly.IsoValue.relative(1),alpha:.4},color:"uniform",colorParams:{value:Rr.blue}})),o=t.to(e.volume).apply(wM.Representation.VolumeRepresentation3D,$2(A,n,{type:"isosurface",typeParams:{isoValue:Ly.IsoValue.relative(-1),alpha:.4},color:"uniform",colorParams:{value:Rr.red}})),r.push(i.selector,o.selector)):(a=t.to(e.volume).apply(wM.Representation.VolumeRepresentation3D,$2(A,n,{type:"isosurface",typeParams:{isoValue:Ly.IsoValue.relative(2),alpha:.4},color:"uniform",colorParams:{value:Rr.grey}})),r.push(a.selector)),[4,A.builders.structure.representation.applyPreset(e.structure,"auto")];case 1:return s=B.sent(),[4,t.commit()];case 2:return B.sent(),u=[],CA(null==s?void 0:s.representations,(function(A){A&&u.push(A)})),[2,S(S([],r,!0),u,!0)]}}))}))}},h9={label:"DensityServer CIF",description:"DensityServer CIF",category:s9,stringExtensions:["cif"],binaryExtensions:["bcif"],isApplicable:function(A,e){return"dscif"===vz(A,e)},parse:function(A,e,t){return F(void 0,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c,B,l,Q;return U(this,(function(I){switch(I.label){case 0:return[4,A.build().to(e).apply(wM.Data.ParseCif).commit()];case 1:if(r=I.sent(),n=A.build().to(r),1!==(i=r.obj.data.blocks.slice(1)).length&&2!==i.length)throw new Error("unknown number of blocks");for(o=[],a=0,s=0,u=i;s<u.length;s++)g=u[s],c=Array.isArray(null==t?void 0:t.entryId)?null==t?void 0:t.entryId[a]:null==t?void 0:t.entryId,o.push(n.apply(wM.Volume.VolumeFromDensityServerCif,{blockHeader:g.header,entryId:c}).selector),a++;return[4,n.commit()];case 2:I.sent(),B=0,l=o,I.label=3;case 3:return B<l.length?(Q=l[B],[4,u9(A,Q.data)]):[3,6];case 4:I.sent(),I.label=5;case 5:return B++,[3,3];case 6:return[2,{volumes:o}]}}))}))},visuals:function(A,e){return F(void 0,void 0,void 0,(function(){var t,r,n,i,o,a;return U(this,(function(s){switch(s.label){case 0:return t=e.volumes,r=A.build(),n=[],t.length>0&&(i=t[0].data&&g9(t[0].data)||Ly.IsoValue.relative(1.5),n[0]=r.to(t[0]).apply(wM.Representation.VolumeRepresentation3D,nM.getDefaultParamsStatic(A,"isosurface",{isoValue:i,alpha:1},"uniform",{value:Rr.teal})).selector),t.length>1&&(o=nM.getDefaultParamsStatic(A,"isosurface",{isoValue:Ly.IsoValue.relative(3),alpha:.3},"uniform",{value:Rr.green}),a=nM.getDefaultParamsStatic(A,"isosurface",{isoValue:Ly.IsoValue.relative(-3),alpha:.3},"uniform",{value:Rr.red}),n[n.length]=r.to(t[1]).apply(wM.Representation.VolumeRepresentation3D,o).selector,n[n.length]=r.to(t[1]).apply(wM.Representation.VolumeRepresentation3D,a).selector),[4,r.commit()];case 1:return s.sent(),[2,n]}}))}))}},E9=[["ccp4",l9],["dsn6",Q9],["cube",d9],["dx",I9],["dscif",h9]],f9={label:"PLY",description:"PLY",category:"Shape",stringExtensions:["ply"],parse:function(A,e){return F(void 0,void 0,void 0,(function(){var t,r;return U(this,(function(n){switch(n.label){case 0:return t=A.state.data.build().to(e).apply(wM.Data.ParsePly,{},{state:{isGhost:!0}}),r=t.apply(wM.Model.ShapeFromPly),[4,t.commit()];case 1:return n.sent(),[2,{format:t.selector,shape:r.selector}]}}))}))},visuals:function(A,e){return A.state.data.build().to(e.shape).apply(wM.Representation.ShapeRepresentation3D).commit()}},C9=[["ply",f9]],p9="Structure",m9={label:"PSF",description:"PSF",category:p9,stringExtensions:["psf"],parse:function(A,e){return F(void 0,void 0,void 0,(function(){var t,r;return U(this,(function(n){switch(n.label){case 0:return t=A.state.data.build().to(e).apply(wM.Data.ParsePsf,{},{state:{isGhost:!0}}),r=t.apply(wM.Model.TopologyFromPsf),[4,t.commit()];case 1:return n.sent(),[2,{format:t.selector,topology:r.selector}]}}))}))}},y9=[["psf",m9],["dcd",{label:"DCD",description:"DCD",category:p9,binaryExtensions:["dcd"],parse:function(A,e){return A.state.data.build().to(e).apply(wM.Model.CoordinatesFromDcd).commit()}}],["xtc",{label:"XTC",description:"XTC",category:p9,binaryExtensions:["xtc"],parse:function(A,e){return A.state.data.build().to(e).apply(wM.Model.CoordinatesFromXtc).commit()}}]],v9=function(){function A(){this._list=[],this._map=new Map,this._extensions=void 0,this._binaryExtensions=void 0,this._options=void 0;for(var A=0,e=E9;A<e.length;A++){var t=e[A],r=t[0],n=t[1];this.add(r,n)}for(var i=0,o=y9;i<o.length;i++){var a=o[i];r=a[0],n=a[1],this.add(r,n)}for(var s=0,u=C9;s<u.length;s++){var g=u[s];r=g[0],n=g[1],this.add(r,n)}for(var c=0,B=Hz;c<B.length;c++){var l=B[c];r=l[0],n=l[1],this.add(r,n)}}return Object.defineProperty(A.prototype,"types",{get:function(){return this._list.map((function(A){return[A.name,A.provider.label]}))},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"extensions",{get:function(){if(this._extensions)return this._extensions;var A=new Set;return this._list.forEach((function(e){var t,r,n=e.provider;null===(t=n.stringExtensions)||void 0===t||t.forEach((function(e){return A.add(e)})),null===(r=n.binaryExtensions)||void 0===r||r.forEach((function(e){return A.add(e)}))})),this._extensions=A,A},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"binaryExtensions",{get:function(){if(this._binaryExtensions)return this._binaryExtensions;var A=new Set;return this._list.forEach((function(e){var t;return null===(t=e.provider.binaryExtensions)||void 0===t?void 0:t.forEach((function(e){return A.add(e)}))})),this._binaryExtensions=A,A},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"options",{get:function(){if(this._options)return this._options;var A=[];return this._list.forEach((function(e){var t=e.name,r=e.provider;return A.push([t,r.label,r.category||""])})),this._options=A,A},enumerable:!1,configurable:!0}),A.prototype._clear=function(){this._extensions=void 0,this._binaryExtensions=void 0,this._options=void 0},A.prototype.add=function(A,e){this._clear(),this._list.push({name:A,provider:e}),this._map.set(A,e)},A.prototype.remove=function(A){this._clear(),this._list.splice(this._list.findIndex((function(e){return e.name===A})),1),this._map.delete(A)},A.prototype.auto=function(A,e){for(var t=0,r=this.list.length;t<r;++t){var n=this._list[t].provider,i=!1;if((n.binaryExtensions&&n.binaryExtensions.indexOf(A.ext)>=0||n.stringExtensions&&n.stringExtensions.indexOf(A.ext)>=0)&&(i=!0),i&&(!n.isApplicable||n.isApplicable(A,e.data)))return n}},A.prototype.get=function(A){if(this._map.has(A))return this._map.get(A);throw new Error("unknown data format name '".concat(A,"'"))},Object.defineProperty(A.prototype,"list",{get:function(){return this._list},enumerable:!1,configurable:!0}),A}(),D9=function(A){function e(e){var t=A.call(this,{params:{current:""},animationState:"stopped"})||this;return t.context=e,t.map=new Map,t._animations=[],t.currentTime=0,t._params=void 0,t.events={updated:t.ev(),applied:t.ev()},t.isStopped=!0,t.isApplying=!1,t}return v(e,A),Object.defineProperty(e.prototype,"isEmpty",{get:function(){return 0===this._animations.length},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"current",{get:function(){return this._current},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"animations",{get:function(){return this._animations},enumerable:!1,configurable:!0}),e.prototype.triggerUpdate=function(){this.events.updated.next(void 0)},e.prototype.triggerApply=function(){this.events.applied.next(void 0)},e.prototype.getParams=function(){return this._params||(this._params={current:ir.Select(this._animations[0]&&this._animations[0].name,this._animations.map((function(A){return[A.name,A.display.name]})),{label:"Animation"})}),this._params},e.prototype.updateParams=function(A){if(!this.isEmpty){this.updateState({params:w(w({},this.state.params),A)});var e=this.map.get(this.state.params.current),t=e.params(this.context);this._current={anim:e,params:t,paramValues:ir.getDefaultValues(t),state:{},startedTime:-1,lastTime:0},this.triggerUpdate()}},e.prototype.updateCurrentParams=function(A){this.isEmpty||(this._current.paramValues=w(w({},this._current.paramValues),A),this.triggerUpdate())},e.prototype.register=function(A){this.map.has(A.name)?this.context.log.error("Animation '".concat(A.name,"' is already registered.")):(this._params=void 0,this.map.set(A.name,A),this._animations.push(A),1===this._animations.length?this.updateParams({current:A.name}):this.triggerUpdate())},e.prototype.play=function(A,e){return F(this,void 0,void 0,(function(){return U(this,(function(t){switch(t.label){case 0:return[4,this.stop()];case 1:return t.sent(),this.map.has(A.name)||this.register(A),this.updateParams({current:A.name}),this.updateCurrentParams(e),[4,this.start()];case 2:return t.sent(),[2]}}))}))},e.prototype.tick=function(A,e){return F(this,void 0,void 0,(function(){return U(this,(function(t){switch(t.label){case 0:return this.currentTime=A,this.isStopped?[2]:e?[4,this.applyFrame()]:[3,2];case 1:return t.sent(),[3,3];case 2:this.applyAsync(),t.label=3;case 3:return[2]}}))}))},e.prototype.start=function(){return F(this,void 0,void 0,(function(){var A,e,t;return U(this,(function(r){switch(r.label){case 0:return this.updateState({animationState:"playing"}),this.context.behaviors.state.isAnimating.value||this.context.behaviors.state.isAnimating.next(!0),this.triggerUpdate(),A=this._current.anim,e=this._current.anim.initialState(this._current.paramValues,this.context),A.setup?[4,A.setup(this._current.paramValues,e,this.context)]:[3,2];case 1:(t=r.sent())&&(e=t),r.label=2;case 2:return this._current.lastTime=0,this._current.startedTime=-1,this._current.state=e,this.isStopped=!1,[2]}}))}))},e.prototype.stop=function(){return F(this,void 0,void 0,(function(){var A;return U(this,(function(e){switch(e.label){case 0:return this.isStopped=!0,"stopped"===this.state.animationState?[3,3]:(A=this._current.anim).teardown?[4,A.teardown(this._current.paramValues,this._current.state,this.context)]:[3,2];case 1:e.sent(),e.label=2;case 2:this.updateState({animationState:"stopped"}),this.triggerUpdate(),e.label=3;case 3:return this.context.behaviors.state.isAnimating.value&&this.context.behaviors.state.isAnimating.next(!1),[2]}}))}))},Object.defineProperty(e.prototype,"isAnimating",{get:function(){return"playing"===this.state.animationState},enumerable:!1,configurable:!0}),e.prototype.applyAsync=function(){return F(this,void 0,void 0,(function(){return U(this,(function(A){switch(A.label){case 0:if(this.isApplying)return[2];this.isApplying=!0,A.label=1;case 1:return A.trys.push([1,,3,4]),[4,this.applyFrame()];case 2:return A.sent(),[3,4];case 3:return this.isApplying=!1,[7];case 4:return[2]}}))}))},e.prototype.applyFrame=function(){return F(this,void 0,void 0,(function(){var A,e;return U(this,(function(t){switch(t.label){case 0:return A=this.currentTime,this._current.startedTime<0&&(this._current.startedTime=A),[4,this._current.anim.apply(this._current.state,{lastApplied:this._current.lastTime,current:A-this._current.startedTime},{params:this._current.paramValues,plugin:this.context})];case 1:return"finished"===(e=t.sent()).kind?this.stop():"next"===e.kind&&(this._current.state=e.state,this._current.lastTime=A-this._current.startedTime),this.triggerApply(),[2]}}))}))},e.prototype.getSnapshot=function(){return this.current?{state:this.state,current:{paramValues:this._current.paramValues,state:this._current.anim.stateSerialization?this._current.anim.stateSerialization.toJSON(this._current.state):this._current.state}}:{state:this.state}},e.prototype.setSnapshot=function(A){this.isEmpty||(this.updateState({animationState:A.state.animationState}),this.updateParams(A.state.params),A.current&&(this.current.paramValues=A.current.paramValues,this.current.state=this._current.anim.stateSerialization?this._current.anim.stateSerialization.fromJSON(A.current.state):A.current.state,this.triggerUpdate(),"playing"===this.state.animationState&&this.resume()))},e.prototype.resume=function(){return F(this,void 0,void 0,(function(){var A;return U(this,(function(e){switch(e.label){case 0:return this._current.lastTime=0,this._current.startedTime=-1,A=this._current.anim,this.context.behaviors.state.isAnimating.value||this.context.behaviors.state.isAnimating.next(!0),A.setup?[4,A.setup(this._current.paramValues,this._current.state,this.context)]:[3,2];case 1:e.sent(),e.label=2;case 2:return this.isStopped=!1,[2]}}))}))},e}(X_),b9={minRadius:5,extraRadius:4,durationMs:250},w9=function(){function A(A){this.plugin=A,this.boundaryHelper=new SB("98")}return A.prototype.transformedLoci=function(A){var e,t;if(dI.is(A)){var r=null===(t=null===(e=this.plugin.helpers.substructureParent.get(A.structure))||void 0===e?void 0:e.obj)||void 0===t?void 0:t.data;r&&(A=dI.remap(A,r))}return A},A.prototype.focusRenderObjects=function(A,e){if(A){for(var t=[],r=0,n=A;r<n.length;r++){var i=n[r].values.boundingSphere.ref.value;0!==i.radius&&t.push(i)}this.focusSpheres(t,(function(A){return A}),e)}},A.prototype.focusLoci=function(A,e){var t;if(Array.isArray(A)&&A.length>1){for(var r=[],n=0,i=A;n<i.length;n++){var o=i[n];(u=VN.getBoundingSphere(this.transformedLoci(o)))&&r.push(u)}if(0===r.length)return;this.boundaryHelper.reset();for(var a=0,s=r;a<s.length;a++){var u=s[a];this.boundaryHelper.includeSphere(u)}this.boundaryHelper.finishedIncludeStep();for(var g=0,c=r;g<c.length;g++)u=c[g],this.boundaryHelper.radiusSphere(u);t=this.boundaryHelper.getSphere()}else if(Array.isArray(A)){if(0===A.length)return;t=VN.getBoundingSphere(this.transformedLoci(A[0]))}else t=VN.getBoundingSphere(this.transformedLoci(A));t&&this.focusSphere(t,e)},A.prototype.focusSpheres=function(A,e,t){for(var r=[],n=0,i=A;n<i.length;n++)(s=e(i[n]))&&r.push(s);if(0!==r.length){if(1===r.length)return this.focusSphere(r[0],t);this.boundaryHelper.reset();for(var o=0,a=r;o<a.length;o++){var s=a[o];this.boundaryHelper.includeSphere(s)}this.boundaryHelper.finishedIncludeStep();for(var u=0,g=r;u<g.length;u++)s=g[u],this.boundaryHelper.radiusSphere(s);this.focusSphere(this.boundaryHelper.getSphere(),t)}},A.prototype.focusSphere=function(A,e){var t,r,n,i,o=w(w({},b9),e),a=o.extraRadius,s=o.minRadius,u=o.durationMs,g=Math.max(A.radius+a,s);if(null==e?void 0:e.principalAxes){var c=null==e?void 0:e.principalAxes.boxAxes,B=c.origin,l=c.dirA,Q=c.dirC,I=null===(t=this.plugin.canvas3d)||void 0===t?void 0:t.camera.getFocus(B,g,l,Q);null===(r=this.plugin.canvas3d)||void 0===r||r.requestCameraReset({durationMs:u,snapshot:I})}else I=null===(n=this.plugin.canvas3d)||void 0===n?void 0:n.camera.getFocus(A.center,g),null===(i=this.plugin.canvas3d)||void 0===i||i.requestCameraReset({durationMs:u,snapshot:I})},A.prototype.setSnapshot=function(A,e){var t;null===(t=this.plugin.canvas3d)||void 0===t||t.requestCameraReset({snapshot:A,durationMs:e})},A.prototype.reset=function(A,e){var t;null===(t=this.plugin.canvas3d)||void 0===t||t.requestCameraReset({snapshot:A,durationMs:e})},A}(),F9=function(){function A(A){var e=this;this.ctx=A,this.providers=[],this.locis=[],this.isDirty=!1,this.labels=[],this.groupedLabels=new Map,A.managers.interactivity.lociHighlights.addProvider((function(A,t,r){e.mark(A,t),r||e.showLabels()}))}return A.prototype.clearProviders=function(){this.providers=[],this.isDirty=!0,this.showLabels()},A.prototype.addProvider=function(A){this.providers.push(A),this.providers.sort((function(A,e){return(e.priority||0)-(A.priority||0)})),this.isDirty=!0,this.showLabels()},A.prototype.removeProvider=function(A){this.providers=this.providers.filter((function(e){return e!==A})),this.isDirty=!0,this.showLabels()},A.prototype.mark=function(A,e){var t=this.locis.findIndex((function(e){return vR.Loci.areEqual(A,e)}));-1===t&&e===NN.Highlight?(this.locis.push(A),this.isDirty=!0):-1!==t&&e===NN.RemoveHighlight&&(fr(this.locis,t),this.isDirty=!0)},A.prototype.showLabels=function(){this.ctx.behaviors.labels.highlight.next({labels:this.getLabels()})},A.prototype.getLabels=function(){var A=this;if(this.isDirty){this.groupedLabels.clear(),this.labels.length=0;for(var e=0,t=this.providers;e<t.length;e++)for(var r=t[e],n=0,i=this.locis;n<i.length;n++){var o=i[n];if(!VN.isEmpty(o.loci)){var a=r.label(o.loci,o.repr);if(a){var s=r.group?r.group(a):a.toString(),u=this.groupedLabels.get(s);u?u.push(a):this.groupedLabels.set(s,[a])}}}this.labels.length=0,this.groupedLabels.forEach((function(e,t){var r=e.length,n=r>1&&e[0]!==e[1]?t:e[0];A.labels.push(1===r?n:"".concat(n," <small>|| × ").concat(r,"</small>"))})),this.isDirty=!1}return this.labels},A}(),U9=function(A){function e(e){var t=A.call(this,{history:[]})||this;t.plugin=e,t.events={historyUpdated:t.ev()},t.behaviors={current:t.ev.behavior(void 0)},e.state.data.events.object.removed.subscribe((function(A){var e,r,n=A.obj;if(qf.Molecule.Structure.is(n)){(null===(r=t.current)||void 0===r?void 0:r.loci.structure)===n.data&&t.clear();for(var i=[],o=0,a=t.history;o<a.length;o++){var s=a[o];s.loci.structure===n.data&&i.push(s)}i.length!==t.history.length&&(t.history.length=0,(e=t.history).push.apply(e,i),t.events.historyUpdated.next(void 0))}}));var r=Ss();return e.state.data.events.object.updated.subscribe((function(A){var e,n=A.oldData,i=A.obj,o=A.action;if(qf.Molecule.Structure.is(i)&&n!==i.data&&"in-place"===o){var a=t.state.current,s=i.data;if(a&&a.loci.structure===n){var u=dI.remap(a.loci,s);t.state.current=w(w({},a),{loci:u}),t.behaviors.current.next(t.state.current),VN.getBoundingSphere(u,r);var g=null===(e=t.plugin.canvas3d)||void 0===e?void 0:e.camera,c=g.getTargetDistance(r.radius+4);(gA.distance(g.target,r.center)>r.radius||c>g.viewport.height/g.zoom)&&t.plugin.managers.camera.focusSphere(r,{durationMs:0})}}})),t}return v(e,A),Object.defineProperty(e.prototype,"current",{get:function(){return this.state.current},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"history",{get:function(){return this.state.history},enumerable:!1,configurable:!0}),e.prototype.tryAddHistory=function(A){if(!dI.isEmpty(A.loci)){for(var e=0,t=void 0,r=0,n=this.state.history;r<n.length;r++){var i=n[r];if(dI.areEqual(i.loci,A.loci)){t=i;break}e++}if(t)return fr(this.state.history,e),this.state.history.unshift(A),void this.events.historyUpdated.next(void 0);this.state.history.unshift(A),this.state.history.length>8&&this.state.history.pop(),this.events.historyUpdated.next(void 0)}},e.prototype.set=function(A){this.tryAddHistory(A),this.state.current&&dI.areEqual(this.state.current.loci,A.loci)||(this.state.current=A,this.behaviors.current.next(A))},e.prototype.setFromLoci=function(A){var e=VN.normalize(A);dI.is(e)&&!dI.isEmpty(e)?this.set({loci:e,label:tH(e,{reverse:!0,hidePrefix:!0,htmlStyling:!1})}):this.clear()},e.prototype.addFromLoci=function(A){var e=this.state.current&&dI.is(A)&&A.structure===this.state.current.loci.structure?dI.union(A,this.state.current.loci):A;this.setFromLoci(e)},e.prototype.clear=function(){this.state.current&&(this.state.current=void 0,this.behaviors.current.next(void 0))},e.prototype.getSnapshot=function(){if(!this.current)return{};var A=this.plugin.helpers.substructureParent.get(this.current.loci.structure),e=null==A?void 0:A.transform.ref;return e?{current:{label:this.current.label,ref:e,bundle:jB.fromLoci(this.current.loci),category:this.current.category}}:{}},e.prototype.setSnapshot=function(A){var e,t;if(A.current){var r=A.current,n=r.label,i=r.ref,o=r.bundle,a=r.category,s=null===(t=null===(e=this.plugin.state.data.select(xd.Generators.byRef(i))[0])||void 0===e?void 0:e.obj)||void 0===t?void 0:t.data;if(s){var u=jB.toLoci(o,s);this.set({label:n,loci:u,category:a})}}else this.clear()},e}(X_),S9=new SB("98"),N9=function(A){function e(e){var t=A.call(this,{entries:new Map,additionsHistory:[],stats:{structureCount:0,elementCount:0,label:"Nothing Selected"}})||this;return t.plugin=e,t.events={changed:t.ev(),additionsHistoryUpdated:t.ev(),loci:{add:t.ev(),remove:t.ev(),clear:t.ev()}},e.helpers.substructureParent.events.removed.subscribe((function(A){return t.onRemove(A.ref,A.obj)})),e.helpers.substructureParent.events.updated.subscribe((function(A){return t.onUpdate(A.ref,A.oldObj,A.obj)})),t}return v(e,A),Object.defineProperty(e.prototype,"entries",{get:function(){return this.state.entries},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"additionsHistory",{get:function(){return this.state.additionsHistory},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"stats",{get:function(){return this.state.stats||(this.state.stats=this.calcStats()),this.state.stats},enumerable:!1,configurable:!0}),e.prototype.getEntry=function(A){var e=this.plugin.helpers.substructureParent.get(A,!0);if(e){var t=e.transform.ref;if(!this.entries.has(t)){var r=new R9(dI(A,[]));return this.entries.set(t,r),r}return this.entries.get(t)}},e.prototype.calcStats=function(){var A=0,e=0,t=QI.create();this.entries.forEach((function(r){var n=r.selection.elements;if(n.length){A+=1;for(var i=0,o=n.length;i<o;++i)e+=Tn.size(n[i].indices);QI.add(t,t,QI.ofLoci(r.selection))}}));var r=iH(t,{countsOnly:!0});return{structureCount:A,elementCount:e,label:r}},e.prototype.add=function(A){if(!dI.is(A))return!1;var e=this.getEntry(A.structure);if(!e)return!1;var t=e.selection;return e.selection=dI.union(e.selection,A),this.tryAddHistory(A),this.referenceLoci=A,this.events.loci.add.next(A),!dI.areEqual(t,e.selection)},e.prototype.remove=function(A){if(!dI.is(A))return!1;var e=this.getEntry(A.structure);if(!e)return!1;var t=e.selection;return e.selection=dI.subtract(e.selection,A),this.referenceLoci=A,this.events.loci.remove.next(A),!dI.areEqual(t,e.selection)},e.prototype.intersect=function(A){if(!dI.is(A))return!1;var e=this.getEntry(A.structure);if(!e)return!1;var t=e.selection;return e.selection=dI.intersect(e.selection,A),this.referenceLoci=A,!dI.areEqual(t,e.selection)},e.prototype.set=function(A){if(!dI.is(A))return!1;var e=this.getEntry(A.structure);if(!e)return!1;var t=e.selection;return e.selection=A,this.tryAddHistory(A),this.referenceLoci=void 0,!dI.areEqual(t,e.selection)},e.prototype.modifyHistory=function(A,e,t,r){void 0===r&&(r=!1);var n=this.additionsHistory,i=n.indexOf(A);if(!(i<0)){var o=void 0;switch(e){case"remove":fr(n,i);break;case"up":o=i-1;break;case"down":o=i+1}if(void 0!==o)for(var a=t?Math.min(n.length,t):n.length;;){if((o%=a)<0&&(o+=a),!r||n[i].loci.structure===n[o].loci.structure){var s=n[i];n[i]=n[o],n[o]=s;break}o+="up"===e?-1:1}this.events.additionsHistoryUpdated.next(void 0)}},e.prototype.tryAddHistory=function(A){if(!VN.isEmpty(A)){for(var e=0,t=void 0,r=0,n=this.additionsHistory;r<n.length;r++){var i=n[r];if(VN.areEqual(i.loci,A)){t=i;break}e++}if(t)return fr(this.additionsHistory,e),this.additionsHistory.unshift(t),void this.events.additionsHistoryUpdated.next(void 0);var o=iH(QI.ofLoci(A),{reverse:!0});this.additionsHistory.unshift({id:N.create22(),loci:A,label:o}),this.additionsHistory.length>24&&this.additionsHistory.pop(),this.events.additionsHistoryUpdated.next(void 0)}},e.prototype.clearHistory=function(){0!==this.state.additionsHistory.length&&(this.state.additionsHistory=[],this.events.additionsHistoryUpdated.next(void 0))},e.prototype.clearHistoryForStructure=function(A){for(var e=[],t=0,r=this.state.additionsHistory;t<r.length;t++)(o=r[t]).loci.structure.root===A.root&&e.push(o);for(var n=0,i=e;n<i.length;n++){var o=i[n];this.modifyHistory(o,"remove")}0!==e.length&&this.events.additionsHistoryUpdated.next(void 0)},e.prototype.onRemove=function(A,e){var t;this.entries.has(A)&&(this.entries.delete(A),(null==e?void 0:e.data)&&this.clearHistoryForStructure(e.data),(null===(t=this.referenceLoci)||void 0===t?void 0:t.structure)===(null==e?void 0:e.data)&&(this.referenceLoci=void 0),this.state.stats=void 0,this.events.changed.next(void 0))},e.prototype.onUpdate=function(A,e,t){var r,n,i,o;if(e!==t&&(null==e?void 0:e.data)!==t.data){var a=this.plugin.helpers.substructureParent.get(t.data,!0);if(a&&(A=a.transform.ref,this.entries.has(A))){var s=null===(n=null===(r=this.plugin.helpers.substructureParent.get(t.data))||void 0===r?void 0:r.obj)||void 0===n?void 0:n.data;if(s)if(!(null==e?void 0:e.data)||BI.areUnitIdsAndIndicesEqual(e.data,t.data)){this.entries.set(A,function(A,e){return new R9(dI.remap(A.selection,e))}(this.entries.get(A),s)),(null===(i=this.referenceLoci)||void 0===i?void 0:i.structure.root)===s.root&&(this.referenceLoci=dI.remap(this.referenceLoci,s));for(var u=!1,g=0,c=this.state.additionsHistory;g<c.length;g++){var B=c[g];B.loci.structure.root===s.root&&(B.loci=dI.remap(B.loci,s),u=!0)}u&&this.events.additionsHistoryUpdated.next(void 0)}else this.entries.set(A,new R9(dI(s,[]))),(null===(o=this.referenceLoci)||void 0===o?void 0:o.structure.root)===s.root&&(this.referenceLoci=void 0),this.clearHistoryForStructure(s),this.state.stats=void 0,this.events.changed.next(void 0)}}},e.prototype.clear=function(){for(var A=this.entries.keys(),e=[];;){var t=A.next();if(t.done)break;var r=this.entries.get(t.value);dI.isEmpty(r.selection)||e.push(r.selection),r.selection=dI(r.selection.structure,[])}return this.referenceLoci=void 0,this.state.stats=void 0,this.events.changed.next(void 0),this.events.loci.clear.next(void 0),this.clearHistory(),e},e.prototype.getLoci=function(A){var e=this.getEntry(A);return e?e.selection:PN},e.prototype.getStructure=function(A){var e=this.getEntry(A);if(e)return e.structure},e.prototype.structureHasSelection=function(A){var e,t,r=null===(t=null===(e=A.cell)||void 0===e?void 0:e.obj)||void 0===t?void 0:t.data;if(!r)return!1;var n=this.getEntry(r);return!!n&&!dI.isEmpty(n.selection)},e.prototype.has=function(A){if(dI.is(A)){var e=this.getEntry(A.structure);if(e)return dI.isSubset(e.selection,A)}return!1},e.prototype.tryGetRange=function(A){if(dI.is(A)&&1===A.elements.length&&this.getEntry(A.structure)){var e=A.elements[0];if(e){var t=this.referenceLoci;if(t&&dI.is(t)&&t.structure===A.structure){for(var r,n=0,i=t.elements;n<i.length;n++){var o=i[n];if(e.unit===o.unit){r=o;break}}if(r&&e.unit===r.unit)return function(A,e,t){var r=Math.min(Tn.min(e.indices),Tn.min(t.indices)),n=Math.max(Tn.max(e.indices),Tn.max(t.indices));return dI(A,[{unit:e.unit,indices:Tn.ofRange(r,n)}])}(A.structure,r,e)}}}},e.prototype.elementCount=function(){var A=0;return this.entries.forEach((function(e){A+=dI.size(e.selection)})),A},e.prototype.getBoundary=function(){var A=gA.create(Number.MAX_VALUE,Number.MAX_VALUE,Number.MAX_VALUE),e=gA.create(-Number.MAX_VALUE,-Number.MAX_VALUE,-Number.MAX_VALUE);S9.reset();var t=[];this.entries.forEach((function(A){var e=A.selection;dI.isEmpty(e)||t.push(dI.getBoundary(e))}));for(var r=0,n=t.length;r<n;++r){var i=t[r],o=i.box,a=i.sphere;gA.min(A,A,o.min),gA.max(e,e,o.max),S9.includePositionRadius(a.center,a.radius)}for(S9.finishedIncludeStep(),r=0,n=t.length;r<n;++r)a=t[r].sphere,S9.radiusPositionRadius(a.center,a.radius);return{box:{min:A,max:e},sphere:S9.getSphere()}},e.prototype.getPrincipalAxes=function(){var A=pe(this.entries.values());return dI.getPrincipalAxesMany(A.map((function(A){return A.selection})))},e.prototype.modify=function(A,e){var t=!1;switch(A){case"add":t=this.add(e);break;case"remove":t=this.remove(e);break;case"intersect":t=this.intersect(e);break;case"set":t=this.set(e)}t&&(this.state.stats=void 0,this.events.changed.next(void 0))},Object.defineProperty(e.prototype,"applicableStructures",{get:function(){return this.plugin.managers.structure.hierarchy.selection.structures.filter((function(A){return!!A.cell.obj})).map((function(A){return A.cell.obj.data}))},enumerable:!1,configurable:!0}),e.prototype.triggerInteraction=function(A,e,t){switch(void 0===t&&(t=!0),A){case"add":this.plugin.managers.interactivity.lociSelects.select({loci:e},t);break;case"remove":this.plugin.managers.interactivity.lociSelects.deselect({loci:e},t);break;case"intersect":this.plugin.managers.interactivity.lociSelects.selectJoin({loci:e},t);break;case"set":this.plugin.managers.interactivity.lociSelects.selectOnly({loci:e},t)}},e.prototype.fromLoci=function(A,e,t){void 0===t&&(t=!0),this.triggerInteraction(A,e,t)},e.prototype.fromCompiledQuery=function(A,e,t){void 0===t&&(t=!0);for(var r=0,n=this.applicableStructures;r<n.length;r++){var i=n[r],o=e(new ul(i));this.triggerInteraction(A,KB.toLociWithSourceUnits(o),t)}},e.prototype.fromSelectionQuery=function(A,e,t){var r=this;void 0===t&&(t=!0),this.plugin.runTask(Pe.create("Structure Selection",(function(n){return F(r,void 0,void 0,(function(){var r,i,o,a;return U(this,(function(s){switch(s.label){case 0:r=0,i=this.applicableStructures,s.label=1;case 1:return r<i.length?(o=i[r],[4,e.getSelection(this.plugin,n,o)]):[3,4];case 2:a=s.sent(),this.triggerInteraction(A,KB.toLociWithSourceUnits(a),t),s.label=3;case 3:return r++,[3,1];case 4:return[2]}}))}))})))},e.prototype.fromSelections=function(A){var e,t=Sd.resolveAndCheck(this.plugin.state.data,A);if(t&&t.obj)if(qf.Molecule.Structure.Selections.is(t.obj)){this.clear();for(var r=0,n=null===(e=t.obj)||void 0===e?void 0:e.data;r<n.length;r++){var i=n[r];this.fromLoci("set",i.loci)}}else console.warn("fromSelections applied to wrong object type.",t.obj)},e}(X_),R9=function(){function A(A){this._structure=void 0,this._selection=A}return Object.defineProperty(A.prototype,"selection",{get:function(){return this._selection},set:function(A){this._selection=A,this._structure=void 0},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"structure",{get:function(){return this._structure||(VN.isEmpty(this._selection)?this._structure=void 0:this._structure=dI.toStructure(this._selection)),this._structure},enumerable:!1,configurable:!0}),A}(),H9=[["full","Full"],["hidden","Hidden"]],G9={isExpanded:ir.Boolean(!1),showControls:ir.Boolean(!0),regionState:ir.Group({left:ir.Select("full",[["full","Full"],["collapsed","Collapsed"],["hidden","Hidden"]]),top:ir.Select("full",H9),right:ir.Select("full",H9),bottom:ir.Select("full",H9)}),controlsDisplay:ir.Value("outside",{isHidden:!0})},M9=function(A){function e(e){var t=A.call(this,w(w({},ir.getDefaultValues(G9)),e.spec.layout&&e.spec.layout.initial))||this;return t.context=e,t.events={updated:t.ev()},t.rootState=void 0,sV.Layout.Update.subscribe(e,(function(A){return t.updateProps(A.state)})),"undefined"!=typeof document&&(t.expandedViewport=document.createElement("meta"),t.expandedViewport.name="viewport",t.expandedViewport.content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0"),t}return v(e,A),e.prototype.updateProps=function(A){var e=!!this.state.isExpanded;this.updateState(A),this.root&&"boolean"==typeof A.isExpanded&&A.isExpanded!==e&&this.handleExpand(),this.events.updated.next(void 0)},e.prototype.setProps=function(A){this.updateState(A)},e.prototype.setRoot=function(A){this.root=A,this.state.isExpanded&&this.handleExpand()},e.prototype.getScrollElement=function(){return document.scrollingElement?document.scrollingElement:document.documentElement?document.documentElement:document.body},e.prototype.handleExpand=function(){try{var A=document.getElementsByTagName("body")[0],e=document.getElementsByTagName("head")[0];if(!A||!e||!this.root)return;if(this.state.isExpanded){for(var t=e.children,r=[],n=!1,i=0;i<t.length;i++)t[i]===this.expandedViewport?n=!0:"viewport"===(t[i].name||"").toLowerCase()&&r.push(t[i]);for(var o=0,a=r;o<a.length;o++){var s=a[o];e.removeChild(s)}n||e.appendChild(this.expandedViewport);var u=A.style,g=(I=this.getScrollElement()).scrollLeft,c=I.scrollTop;this.rootState={top:u.top,bottom:u.bottom,right:u.right,left:u.left,scrollTop:c,scrollLeft:g,position:u.position,overflow:u.overflow,viewports:r,zIndex:this.root.style.zIndex,width:u.width,height:u.height,maxWidth:u.maxWidth,maxHeight:u.maxHeight,margin:u.margin,marginLeft:u.marginLeft,marginRight:u.marginRight,marginTop:u.marginTop,marginBottom:u.marginBottom},u.overflow="hidden",u.position="fixed",u.top="0",u.bottom="0",u.right="0",u.left="0",u.width="100%",u.height="100%",u.maxWidth="100%",u.maxHeight="100%",u.margin="0",u.marginLeft="0",u.marginRight="0",u.marginTop="0",u.marginBottom="0"}else{for(t=e.children,i=0;i<t.length;i++)if(t[i]===this.expandedViewport){e.removeChild(this.expandedViewport);break}if(this.rootState){for(var B=this.rootState,l=0,Q=B.viewports;l<Q.length;l++)s=Q[l],e.appendChild(s);var I;(u=A.style).top=B.top,u.bottom=B.bottom,u.left=B.left,u.right=B.right,u.width=B.width,u.height=B.height,u.maxWidth=B.maxWidth,u.maxHeight=B.maxHeight,u.margin=B.margin,u.marginLeft=B.marginLeft,u.marginRight=B.marginRight,u.marginTop=B.marginTop,u.marginBottom=B.marginBottom,u.position=B.position,u.overflow=B.overflow||"",(I=this.getScrollElement()).scrollTop=B.scrollTop,I.scrollLeft=B.scrollLeft,this.rootState=void 0,this.root.style.zIndex=B.zIndex}}}catch(A){var d="Layout change error, you might have to reload the page.";this.context.log.error(d),console.error(d,A)}},e}(X_),L9={includeTypes:ir.MultiSelect(GN(pa.Names),ir.objectToOptions(pa.Names)),excludeTypes:ir.MultiSelect([],ir.objectToOptions(pa.Names)),ignoreHydrogens:ir.Boolean(!1),aromaticBonds:ir.Boolean(!1,{description:"Display aromatic bonds with dashes"}),multipleBonds:ir.Select("symmetric",ir.arrayToOptions(["off","symmetric","offset"]))},x9=(ir.getDefaultValues(L9),w(w(w({},r_),L9),{adjustCylinderLength:ir.Boolean(!1,{description:"Shorten cylinders to reduce overlap with spheres. Useful for for transparent bonds. Not working well with aromatic bonds."})})),k9=(ir.getDefaultValues(x9),w(w({},n_),L9));function Y9(A,e,t){return!pa.is(A,t)||pa.is(e,t)}function _9(A,e,t){var r=e.elements,n=e.model.atomicHierarchy.derived.atom.atomicNumber,i=e.bonds,o=i.a,a=i.b,s=i.edgeProps.flags,u=t.ignoreHydrogens,g=t.includeTypes,c=t.excludeTypes,B=pa.fromNames(g),l=pa.fromNames(c),Q=pa.isAll(B)&&0===l,I=A.child,d=null==I?void 0:I.unitMap.get(e.id);if(I&&!d)throw new Error("expected childUnit to exist if child exists");if(!Q||u||I)return function(A){return!!d&&!kn.has(d.elements,r[o[A]])||u&&(jL(n,r[o[A]])||jL(n,r[a[A]]))||!Q&&Y9(B,l,s[A])}}function V9(A,e){var t=A.interUnitBonds.edges,r=e.ignoreHydrogens,n=e.includeTypes,i=e.excludeTypes,o=pa.fromNames(n),a=pa.fromNames(i),s=pa.isAll(o)&&0===a,u=A.child;if(!s||r||u)return function(e){if(u){var n=t[e],i=u.unitMap.get(n.unitA);if(!i)return!0;var g=A.unitMap.get(n.unitA).elements[n.indexA];if(!kn.has(i.elements,g))return!0}if(r){n=t[e];var c=A.unitMap.get(n.unitA),B=A.unitMap.get(n.unitB);if(KL(c,c.elements[n.indexA])||KL(B,B.elements[n.indexB]))return!0}return!(s||!Y9(o,a,t[e].props.flag))}}function T9(A,e,t){var r=A.objectId,n=A.instanceId,i=A.groupId;if(t===r){var o=e.structure,a=e.group.units[n];if(TB.isAtomic(a)){var s=o.target,u=a.bonds.a[i],g=a.bonds.b[i];return oB.Loci(s,[oB.Location(s,a,u,s,a,g),oB.Location(s,a,g,s,a,u)])}}return PN}function P9(A,e,t,r){var n=!1;if(oB.isLoci(A)){var i=e.structure,o=e.group;if(!BI.areEquivalent(A.structure,i))return!1;var a=o.units[0];if(!TB.isAtomic(a))return!1;for(var s=2*a.bonds.edgeCount,u=0,g=A.bonds;u<g.length;u++){var c=g[u];if(c.aUnit===c.bUnit){var B=o.unitIndexMap.get(c.aUnit.id);if(void 0!==B){var l=a.bonds.getDirectedEdgeIndex(c.aIndex,c.bIndex);-1!==l&&t(qr.ofSingleton(B*s+l))&&(n=!0)}}}}else if(dI.is(A)){if(i=e.structure,o=e.group,!BI.areEquivalent(A.structure,i))return!1;if(a=o.units[0],!TB.isAtomic(a))return!1;for(var Q=2*a.bonds.edgeCount,I=function(A){var e=o.unitIndexMap.get(A.unit.id);if(void 0!==e){var i=a.bonds,s=i.offset,u=i.b;Tn.forEach(A.indices,(function(i){for(var o=s[i],a=s[i+1];o<a;o++)r&&!Tn.has(A.indices,u[o])||t(qr.ofSingleton(e*Q+o))&&(n=!0)}))}},d=0,h=A.elements;d<h.length;d++)I(h[d])}return n}function J9(A,e,t){var r=A.objectId,n=A.groupId;if(t===r){var i=e.target,o=e.interUnitBonds.edges[n],a=e.unitMap.get(o.unitA),s=e.unitMap.get(o.unitB);return oB.Loci(i,[oB.Location(i,a,o.indexA,i,s,o.indexB),oB.Location(i,s,o.indexB,i,a,o.indexA)])}return PN}function O9(A,e,t,r){var n=!1;if(oB.isLoci(A)){if(!BI.areEquivalent(A.structure,e))return!1;for(var i=0,o=A.bonds;i<o.length;i++){var a=o[i],s=e.interUnitBonds.getBondIndexFromLocation(a);-1!==s&&t(qr.ofSingleton(s))&&(n=!0)}}else if(dI.is(A)){if(!BI.areEquivalent(A.structure,e))return!1;if(r&&1===A.elements.length)return!1;for(var u=new Map,g=0,c=A.elements;g<c.length;g++){var B=c[g];u.set(B.unit.id,B.indices)}for(var l=function(A){var i=A.unit;if(!TB.isAtomic(i))return"continue";e.interUnitBonds.getConnectedUnits(i.id).forEach((function(o){var a=u.get(o.unitB);r&&!a||Tn.forEach(A.indices,(function(A){o.connectedIndices.includes(A)&&o.getEdges(A).forEach((function(s){if(!r||a&&Tn.has(a,s.indexB)){var u=e.interUnitBonds.getEdgeIndex(A,i.id,s.indexB,o.unitB);t(qr.ofSingleton(u))&&(n=!0)}}))}))}))},Q=0,I=A.elements;Q<I.length;Q++)l(B=I[Q])}return n}ir.getDefaultValues(k9),function(A){A.fromGroup=function(A){var e=A.group,t=A.structure,r=e.units[0],n=TB.isAtomic(r)?2*r.bonds.edgeCount:0,i=e.units.length,o=oB.Location(t,void 0,void 0,t,void 0,void 0);return ur(n,i,1,(function(A,t){var r=e.units[t];return o.aUnit=r,o.bUnit=r,o.aIndex=r.bonds.a[A],o.bIndex=r.bonds.b[A],o}))},A.fromStructure=function(A){var e=A.interUnitBonds.edgeCount,t=oB.Location(A,void 0,void 0,A,void 0,void 0);return ur(e,1,1,(function(e){var r=A.interUnitBonds.edges[e];return t.aUnit=A.unitMap.get(r.unitA),t.aIndex=r.indexA,t.bUnit=A.unitMap.get(r.unitB),t.bIndex=r.indexB,t}),!0)}}(B9||(B9={}));var K9=pa.is;function j9(A,e,t,r){var n,i=A.elements,o=A.bonds,a=o.edgeCount,s=o.a,u=o.b,g=o.edgeProps,c=o.offset,B=g.order,l=g.flags,Q=r.sizeFactor,I=r.sizeAspectRatio,d=r.adjustCylinderLength,h=r.aromaticBonds,E=r.includeTypes,f=r.excludeTypes,C=r.multipleBonds,p="off"===C,m="symmetric"===C,y=Y9(pa.fromNames(E),pa.fromNames(f),32),v=gA(),D=gA(),b=A.conformation.invariantPosition,w=hc.create(e,A),F=oB.Location(e,A,void 0,e,A,void 0),U=e.child;if(r.includeParent&&U){var S=U.unitMap.get(A.id);if(!S)throw new Error("expected childUnit to exist");n=function(A){var e=i[s[A]],t=i[u[A]];return kn.has(S.elements,e)&&!kn.has(S.elements,t)}}var N=A.rings,R=N.elementRingIndices,H=N.elementAromaticRingIndices;return{linkCount:2*a,referencePosition:function(A){var e,t,r=s[A],n=u[A];r>n&&(r=(e=[n,r])[0],n=e[1]),c[r+1]-c[r]==1&&(r=(t=[n,r])[0],n=t[1]);for(var o=R.get(r),a=0,g=c[r],B=c[r+1];g<B;++g){var l=u[g];if(l!==n&&l!==r){if(!o)return b(i[l],v);var Q=R.get(l);if(!Q)continue;var I=mr(o,Q);I>a&&(a=I,b(i[l],v))}}return a>0?v:null},position:function(A,e,r){if(b(i[s[r]],A),b(i[u[r]],e),d){var n=function(A){return w.element=i[s[A]],t.size.size(w)*Q}(r),o=function(A){return w.element=i[u[A]],t.size.size(w)*Q}(r),a=Math.min(n,o)*I,g=Math.sqrt(Math.max(0,n*n-a*a))-.05,c=Math.sqrt(Math.max(0,o*o-a*a))-.05;if(g<=.01&&c<=.01)return;gA.normalize(D,gA.sub(D,e,A)),gA.scaleAndAdd(A,A,D,g),gA.scaleAndAdd(e,e,D,-c)}},style:function(A){var e=B[A],t=l[A];if(K9(t,2)||K9(t,4))return 1;if(3===e)return p?0:m?4:5;if(h){var r=s[A],n=u[A],i=H.get(r),o=H.get(n),a=i&&o?mr(i,o):0;if(K9(t,16)||a&&!y)return 2===a?8:7}return 2!==e||p?0:m?2:3},radius:function(A){return function(A){return F.aIndex=s[A],F.bIndex=u[A],t.size.size(F)*Q}(A)*I},ignore:_9(e,A,r),stub:n}}function z9(A,e,t,r,n,i){if(!TB.isAtomic(e))return xv.createEmpty(i);if(!e.bonds.edgeCount)return xv.createEmpty(i);var o=t.child,a=null==o?void 0:o.unitMap.get(e.id);if(o&&!a)return xv.createEmpty(i);var s=d_(0,j9(e,t,r,n),n,i),u=Ss.expand(Ss(),(null!=a?a:e).boundary.sphere,1*n.sizeFactor);return s.setBoundingSphere(u),s}function q9(A,e,t,r,n,i){if(!TB.isAtomic(e))return Yv.createEmpty(i);if(!e.bonds.edgeCount)return Yv.createEmpty(i);var o=t.child,a=null==o?void 0:o.unitMap.get(e.id);if(o&&!a)return Yv.createEmpty(i);var s=I_(0,j9(e,t,r,n),n,i),u=Ss.expand(Ss(),(null!=a?a:e).boundary.sphere,1*n.sizeFactor);return s.setBoundingSphere(u),s}var Z9=w(w(w(w({},hx),px),x9),{sizeFactor:ir.Numeric(.3,{min:0,max:10,step:.01}),sizeAspectRatio:ir.Numeric(2/3,{min:0,max:3,step:.01}),tryUseImpostor:ir.Boolean(!0),includeParent:ir.Boolean(!1)});function W9(A,e,t,r){return t.tryUseImpostor&&r&&r.extensions.fragDepth?function(A){return mx({defaultProps:ir.getDefaultValues(Z9),createGeometry:z9,createLocationIterator:B9.fromGroup,getLoci:T9,eachLocation:P9,setUpdateState:function(A,e,t,r,n,i,o){A.createGeometry=e.sizeAspectRatio!==t.sizeAspectRatio||e.linkScale!==t.linkScale||e.linkSpacing!==t.linkSpacing||e.ignoreHydrogens!==t.ignoreHydrogens||e.linkCap!==t.linkCap||e.aromaticScale!==t.aromaticScale||e.aromaticSpacing!==t.aromaticSpacing||e.aromaticDashCount!==t.aromaticDashCount||e.dashCount!==t.dashCount||e.dashScale!==t.dashScale||e.dashCap!==t.dashCap||e.stubCap!==t.stubCap||!T(e.includeTypes,t.includeTypes)||!T(e.excludeTypes,t.excludeTypes)||e.adjustCylinderLength!==t.adjustCylinderLength||e.aromaticBonds!==t.aromaticBonds||e.multipleBonds!==t.multipleBonds;var a=i.group.units[0],s=o.group.units[0];TB.isAtomic(a)&&TB.isAtomic(s)&&(to.areEqual(a.bonds,s.bonds)||(A.createGeometry=!0,A.updateTransform=!0,A.updateColor=!0,A.updateSize=!0))},mustRecreate:function(A,e,t){return!e.tryUseImpostor||!t}},A)}(A):function(A){return Ex({defaultProps:ir.getDefaultValues(Z9),createGeometry:q9,createLocationIterator:B9.fromGroup,getLoci:T9,eachLocation:P9,setUpdateState:function(A,e,t,r,n,i,o){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.sizeAspectRatio!==t.sizeAspectRatio||e.radialSegments!==t.radialSegments||e.linkScale!==t.linkScale||e.linkSpacing!==t.linkSpacing||e.ignoreHydrogens!==t.ignoreHydrogens||e.linkCap!==t.linkCap||e.aromaticScale!==t.aromaticScale||e.aromaticSpacing!==t.aromaticSpacing||e.aromaticDashCount!==t.aromaticDashCount||e.dashCount!==t.dashCount||e.dashScale!==t.dashScale||e.dashCap!==t.dashCap||e.stubCap!==t.stubCap||!T(e.includeTypes,t.includeTypes)||!T(e.excludeTypes,t.excludeTypes)||e.adjustCylinderLength!==t.adjustCylinderLength||e.aromaticBonds!==t.aromaticBonds||e.multipleBonds!==t.multipleBonds;var a=i.group.units[0],s=o.group.units[0];TB.isAtomic(a)&&TB.isAtomic(s)&&(to.areEqual(a.bonds,s.bonds)||(A.createGeometry=!0,A.updateTransform=!0,A.updateColor=!0,A.updateSize=!0))},mustRecreate:function(A,e,t){return e.tryUseImpostor&&!!t}},A)}(A)}var X9=new oB.ElementBondIterator;function $9(A,e,t,r){for(X9.setElement(e,t,r);X9.hasNext;){var n=X9.move();return n.otherUnit.conformation.position(n.otherUnit.elements[n.otherIndex],A),A}return null}var A7=gA();function e7(A,e,t){var r,n=hc.create(A),i=oB.Location(A,void 0,void 0,A,void 0,void 0),o=A.interUnitBonds,a=o.edgeCount,s=o.edges,u=t.sizeFactor,g=t.sizeAspectRatio,c=t.adjustCylinderLength,B=t.aromaticBonds,l=t.multipleBonds,Q="off"===l,I="symmetric"===l,d=gA(),h=A.child;return t.includeParent&&h&&(r=function(e){var t=s[e],r=h.unitMap.get(t.unitA),n=h.unitMap.get(t.unitB),i=A.unitMap.get(t.unitA).elements[t.indexA],o=A.unitMap.get(t.unitB).elements[t.indexB];return 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i=I_(0,e7(e,t,r),r,n),o=e.child,a=Ss.expand(Ss(),(null!=o?o:e).boundary.sphere,1*r.sizeFactor);return i.setBoundingSphere(a),i}var n7=w(w(w(w({},sx),gx),x9),{sizeFactor:ir.Numeric(.3,{min:0,max:10,step:.01}),sizeAspectRatio:ir.Numeric(2/3,{min:0,max:3,step:.01}),tryUseImpostor:ir.Boolean(!0),includeParent:ir.Boolean(!1)});function i7(A,e,t,r){return t.tryUseImpostor&&r&&r.extensions.fragDepth?function(A){return function(A,e){return 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ux({defaultProps:ir.getDefaultValues(n7),createGeometry:r7,createLocationIterator:B9.fromStructure,getLoci:J9,eachLocation:O9,setUpdateState:function(A,e,t,r,n,i,o){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.sizeAspectRatio!==t.sizeAspectRatio||e.radialSegments!==t.radialSegments||e.linkScale!==t.linkScale||e.linkSpacing!==t.linkSpacing||e.ignoreHydrogens!==t.ignoreHydrogens||e.linkCap!==t.linkCap||e.aromaticScale!==t.aromaticScale||e.aromaticSpacing!==t.aromaticSpacing||e.aromaticDashCount!==t.aromaticDashCount||e.dashCount!==t.dashCount||e.dashScale!==t.dashScale||e.dashCap!==t.dashCap||e.stubCap!==t.stubCap||!T(e.includeTypes,t.includeTypes)||!T(e.excludeTypes,t.excludeTypes)||e.adjustCylinderLength!==t.adjustCylinderLength||e.multipleBonds!==t.multipleBonds,i.interUnitBonds!==o.interUnitBonds&&(A.createGeometry=!0,A.updateTransform=!0,A.updateColor=!0,A.updateSize=!0)},mustRecreate:function(A,e,t){return e.tryUseImpostor&&!!t}},A)}(A)}var o7,a7=new Float32Array([-1,1,-1,-1,1,1,1,-1]),s7=new Uint16Array([0,1,2,1,3,2]),u7=HA.add3,g7=HA.add2,c7=HA.add;!function(A){A.create=function(A,e,t){void 0===A&&(A=2048),void 0===e&&(e=1024),A*=4,e*=4;var r=HA.create(Float32Array,3,e,t?t.centerBuffer.ref.value:A),n=HA.create(Float32Array,2,e,t?t.mappingBuffer.ref.value:A),i=HA.create(Uint32Array,3,e/2,t?t.indexBuffer.ref.value:A/2),o=HA.create(Float32Array,1,e,t?t.groupBuffer.ref.value:A);return{add:function(A,e,t,a){for(var s=r.elementCount,u=0;u<4;++u)u7(r,A,e,t),g7(n,a7[2*u],a7[2*u+1]),c7(o,a);u7(i,s+s7[0],s+s7[1],s+s7[2]),u7(i,s+s7[3],s+s7[4],s+s7[5])},getSpheres:function(){var A=HA.compact(r,!0),e=HA.compact(n,!0),a=HA.compact(i,!0),s=HA.compact(o,!0);return Zy.create(A,e,a,s,r.elementCount/4,t)}}}}(o7||(o7={}));var B7,l7=gA.add;function Q7(A,e,t){var r=t.ignoreHydrogens,n=t.traceOnly,i=e.model.atomicHierarchy.derived.atom.atomicNumber,o=TB.isCoarse(e),a=A.child,s=null==a?void 0:a.unitMap.get(e.id);if(a&&!s)throw new Error("expected 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s,u=e.elements,g=u.length,c=o7.create(g,g/2,i),B=gA(),l=e.conformation.invariantPosition,Q=Q7(t,e,n),I=hc.create(t,e),d=r.size.size,h=gA(),E=0,f=0,C=0;C<g;C++)if(!(null==Q?void 0:Q(u[C]))){l(u[C],B),c.add(B[0],B[1],B[2],C),l7(h,h,B),f+=1,I.element=u[C];var p=d(I);p>E&&(E=p)}gA.scale(h,h,1/f),s=i&&gA.distance(h,i.boundingSphere.center)/i.boundingSphere.radius<1?Ss.clone(i.boundingSphere):Ss.expand(Ss(),(null!=a?a:e).boundary.sphere,E*n.sizeFactor+.05);var m=c.getSpheres();return m.setBoundingSphere(s),m}function h7(A,e,t){var r=!1;if(!dI.is(A))return!1;var n=e.structure,i=e.group;if(!BI.areEquivalent(A.structure,n))return!1;for(var o=i.elements.length,a=i.unitIndexMap,s=0,u=A.elements;s<u.length;s++){var g=u[s],c=a.get(g.unit.id);if(void 0!==c){var B=c*o;if(qr.is(g.indices)){var l=B+qr.start(g.indices),Q=B+qr.end(g.indices);t(qr.ofBounds(l,Q))&&(r=!0)}else for(var I=0,d=g.indices.length;I<d;I++){l=g.indices[I];for(var h=I+1;h<d&&g.indices[h]===l;)h++;I=h-1,Q=g.indices[I],r=t(qr.ofRange(B+l,B+Q))||r}}}return r}function E7(A,e,t){var r=A.objectId,n=A.instanceId,i=A.groupId;if(t===r){var o=e.structure,a=e.group.units[n],s=Tn.ofSingleton(i);return dI(o.target,[{unit:a,indices:s}])}return PN}function f7(A,e,t){var r=!1;if(!dI.is(A))return!1;if(!BI.areEquivalent(A.structure,e))return!1;for(var n=e.serialMapping.cumulativeUnitElementCount,i=0,o=A.elements;i<o.length;i++){var a=o[i],s=e.unitIndexMap.get(a.unit.id);if(void 0!==s)if(qr.is(a.indices)){var u=n[s]+qr.start(a.indices),g=n[s]+qr.end(a.indices);t(qr.ofBounds(u,g))&&(r=!0)}else for(var c=0,B=a.indices.length;c<B;c++){var l=n[s]+a.indices[c];t(qr.ofSingleton(l))&&(r=!0)}}return r}function C7(A,e,t){var r=A.objectId,n=A.groupId;if(t===r){var i=e.serialMapping,o=i.unitIndices,a=i.cumulativeUnitElementCount,s=o[n],u=e.units[s],g=n-a[s];return dI(e,[{unit:u,indices:Tn.ofSingleton(g)}])}return PN}!function(A){A.fromGroup=function(A){var e=A.group,t=A.structure,r=e.elements.length,n=e.units.length,i=hc.create(t);return ur(r,n,1,(function(A,t){var r=e.units[t];return i.unit=r,i.element=r.elements[A],i}))},A.fromStructure=function(A){var e=A.units,t=A.elementCount,r=A.serialMapping,n=r.unitIndices,i=r.elementIndices,o=hc.create(A);return ur(t,1,1,(function(A){return o.unit=e[n[A]],o.element=i[A],o}),!0)}}(B7||(B7={}));var p7=w(w(w({},hx),fx),{sizeFactor:ir.Numeric(1,{min:0,max:10,step:.1}),detail:ir.Numeric(0,{min:0,max:3,step:1},Ki.CustomQualityParamInfo),ignoreHydrogens:ir.Boolean(!1),traceOnly:ir.Boolean(!1),tryUseImpostor:ir.Boolean(!0)});function m7(A,e,t,r){return t.tryUseImpostor&&r&&r.extensions.fragDepth?function(A){return Cx({defaultProps:ir.getDefaultValues(p7),createGeometry:d7,createLocationIterator:B7.fromGroup,getLoci:E7,eachLocation:h7,setUpdateState:function(A,e,t){A.createGeometry=e.ignoreHydrogens!==t.ignoreHydrogens||e.traceOnly!==t.traceOnly},mustRecreate:function(A,e,t){return!e.tryUseImpostor||!t}},A)}(A):function(A){return Ex({defaultProps:ir.getDefaultValues(p7),createGeometry:I7,createLocationIterator:B7.fromGroup,getLoci:E7,eachLocation:h7,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.detail!==t.detail||e.ignoreHydrogens!==t.ignoreHydrogens||e.traceOnly!==t.traceOnly},mustRecreate:function(A,e,t){return e.tryUseImpostor&&!!t}},A)}(A)}var y7={"element-sphere":function(A,e){return Ix("Element sphere",A,e,m7)},"intra-bond":function(A,e){return Ix("Intra-unit bond cylinder",A,e,W9)},"inter-bond":function(A,e){return RL("Inter-unit bond 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i=e.carbohydrates,o=i.links,a=i.elements,s=r.linkSizeFactor,u=hc.create(e),g={linkCount:o.length,position:function(A,e,t){var r=o[t];gA.copy(A,a[r.carbohydrateIndexA].geometry.center),gA.copy(e,a[r.carbohydrateIndexB].geometry.center)},radius:function(A){var e=o[A],r=a[e.carbohydrateIndexA],n=r.unit.rings.all[r.ringIndex];return u.unit=r.unit,u.element=r.unit.elements[n[0]],t.size.size(u)*s}};return I_(0,g,r,n)}var w7=w(w(w({},hx),r_),{linkSizeFactor:ir.Numeric(.3,{min:0,max:3,step:.01})});function F7(A){return ux({defaultProps:ir.getDefaultValues(w7),createGeometry:b7,createLocationIterator:U7,getLoci:S7,eachLocation:N7,setUpdateState:function(A,e,t){A.createGeometry=e.linkSizeFactor!==t.linkSizeFactor||e.radialSegments!==t.radialSegments||e.linkCap!==t.linkCap}},A)}function U7(A){var e=A.carbohydrates,t=e.elements,r=e.links,n=r.length,i=hc.create(A);return ur(n,1,1,(function(A){var e=r[A],n=t[e.carbohydrateIndexA],o=n.unit.rings.all[n.ringIndex];return i.unit=n.unit,i.element=n.unit.elements[o[0]],i}),!0)}function S7(A,e,t){var r=A.objectId,n=A.groupId;if(t===r){var i=e.carbohydrates,o=i.links,a=i.elements,s=o[n],u=a[s.carbohydrateIndexA],g=a[s.carbohydrateIndexB];return dI.union(GL(e,u.unit,u.residueIndex,u.altId),GL(e,g.unit,g.residueIndex,g.altId))}return PN}function N7(A,e,t){var r=!1;if(!dI.is(A))return!1;if(!BI.areEquivalent(A.structure,e))return!1;for(var n=e.carbohydrates.getLinkIndices,i=function(A,e){if(!TB.isAtomic(A))return"continue";Tn.forEach(e,(function(e){for(var i=n(A,A.elements[e]),o=0,a=i.length;o<a;++o)t(qr.ofSingleton(i[o]))&&(r=!0)}))},o=0,a=A.elements;o<a.length;o++){var s=a[o];i(s.unit,s.indices)}return r}var R7,H7,G7=gA.create(0,0,-.5),M7=gA.create(0,0,.5),L7=gA(),x7=gA(),k7=gA(),Y7=gA();var _7={pointCount:5,outerRadius:1,innerRadius:.5,thickness:.3},V7=gA.zero(),T7=gA.zero(),P7=gA.zero(),J7=gA.zero(),O7=gA.zero(),K7=nA.identity(),j7=gA.zero(),z7=gA.zero(),q7=Py(),Z7=(Ry||(Ry=Ty(!0)),Ry),W7=(R7||(R7=function(A){for(var e=A.length/3,t=(3===e?1:4===e?2:e)+e,r=my(t,4===e?3*e+4:3*t),n=0;n<e;++n){var i=(n+1)%e;gA.set(L7,A[3*n],A[3*n+1],-.5),gA.set(x7,A[3*i],A[3*i+1],-.5),r.add(L7,x7,M7)}if(3===e)gA.set(L7,A[0],A[1],-.5),gA.set(x7,A[3],A[4],-.5),gA.set(k7,A[6],A[7],-.5),r.add(k7,x7,L7);else if(4===e)gA.set(L7,A[0],A[1],-.5),gA.set(x7,A[3],A[4],-.5),gA.set(k7,A[6],A[7],-.5),gA.set(Y7,A[9],A[10],-.5),r.addQuad(Y7,k7,x7,L7);else for(n=0;n<e;++n)i=(n+1)%e,gA.set(L7,A[3*n],A[3*n+1],-.5),gA.set(x7,A[3*i],A[3*i+1],-.5),r.add(G7,x7,L7);return r.getPrimitive()}(by(8,!0))),R7),X7=function(){if(!H7){for(var A=by(8,!0),e=new Float32Array(30),t=0;t<8;++t)e[3*t]=A[3*t],e[3*t+1]=A[3*t+1],e[3*t+2]=-.5;e[24]=0,e[25]=0,e[26]=-.5,e[27]=0,e[28]=0,e[29]=.5,H7=Cy(e,[0,1,8,1,2,8,4,5,8,5,6,8,2,3,9,3,4,9,6,7,9,7,0,9])}return H7}(),$7=function(A){for(var e=w(w({},_7),{outerRadius:1,innerRadius:.5,thickness:.5,pointCount:5}),t=e.outerRadius,r=e.innerRadius,n=e.thickness,i=e.pointCount,o=my(2*i*2),a=new Float32Array(2*i),s=new Float32Array(2*i),u=0;u<i;++u){var g=2*u,c=2*u+1,B=(g+1)/i*Math.PI,l=(c+1)/i*Math.PI;s[g]=Math.cos(B)*t,s[c]=Math.sin(B)*t,a[g]=Math.cos(l)*r,a[c]=Math.sin(l)*r}for(gA.set(V7,0,0,n/2),gA.set(T7,0,0,-n/2),u=0;u<i;++u){var Q=(u+1)%i;gA.set(P7,s[2*u],s[2*u+1],0),gA.set(J7,a[2*u],a[2*u+1],0),gA.set(O7,s[2*Q],s[2*Q+1],0),o.add(V7,P7,J7),o.add(J7,P7,T7),o.add(V7,J7,O7),o.add(O7,J7,T7)}return o.getPrimitive()}(),AAA=(H0||(H0=Cy(M0,[0,2,4,0,4,3,0,3,5,0,5,2,1,2,5,1,5,3,1,3,4,1,4,2])),H0),eAA=(G0||(G0=Cy(M0,[0,2,4,0,4,3,1,2,5,1,5,3])),G0),tAA=(aD||(aD=CD(by(4,!1))),aD),rAA=(sD||(sD=CD(by(5,!1))),sD),nAA=(uD||(uD=CD(by(6,!1))),uD),iAA=(gD||(gD=CD(by(6,!0))),gD),oAA=(cD||(cD=CD(by(7,!1))),cD);function aAA(A,e,t,r,n){for(var i=kD.createState(256,128,n),o=r.detail,a=r.sizeFactor,s=e.carbohydrates,u=s.elements.length,g=hc.create(e),c=0;c<u;++c){var B=s.elements[c],l=B.unit.rings.all[B.ringIndex],Q=(m=B.component.type,y=l.length,10===m?4===y?12:5===y?13:6===y?14:7===y?15:10:ia[m]);g.unit=B.unit,g.element=B.unit.elements[l[0]];var I=t.size.size(g),d=I*a,h=I*a*1.612,E=B.geometry,f=E.center,C=E.normal,p=E.direction;switch(gA.add(z7,f,p),nA.targetTo(K7,f,z7,C),nA.setTranslation(K7,f),i.currentGroup=2*c,Q){case 0:oD(i,f,d,o);break;case 1:nA.scaleUniformly(K7,K7,h),kD.addPrimitive(i,K7,q7);break;case 2:nA.scaleUniformly(K7,K7,h),kD.addPrimitive(i,K7,Z7),nA.mul(K7,K7,nA.rotZ90X180),i.currentGroup+=1,kD.addPrimitive(i,K7,Z7);break;case 4:nA.scaleUniformly(K7,K7,1.2*h),kD.addPrimitive(i,K7,W7);break;case 5:nA.scaleUniformly(K7,K7,1.2*h),kD.addPrimitive(i,K7,X7),nA.mul(K7,K7,nA.rotZ90),i.currentGroup+=1,kD.addPrimitive(i,K7,X7);break;case 6:nA.mul(K7,K7,nA.rotZY90),nA.scale(K7,K7,gA.set(j7,h,h,h/2)),kD.addPrimitive(i,K7,q7);break;case 7:nA.scaleUniformly(K7,K7,h),nA.mul(K7,K7,nA.rotZY90),kD.addPrimitive(i,K7,$7);break;case 8:nA.mul(K7,K7,nA.rotZY90),nA.scale(K7,K7,gA.set(j7,1.4*h,1.4*h,1.4*h)),kD.addPrimitive(i,K7,AAA);break;case 3:nA.mul(K7,K7,nA.rotZY90),nA.scale(K7,K7,gA.set(j7,1.4*h,1.4*h,1.4*h)),kD.addPrimitive(i,K7,eAA),nA.mul(K7,K7,nA.rotY90),i.currentGroup+=1,kD.addPrimitive(i,K7,eAA);break;case 9:nA.mul(K7,K7,nA.rotZY90),nA.scale(K7,K7,gA.set(j7,h,h/2,h/2)),kD.addPrimitive(i,K7,tAA);break;case 12:nA.mul(K7,K7,nA.rotZY90),nA.scale(K7,K7,gA.set(j7,h,h,h/2)),kD.addPrimitive(i,K7,tAA);break;case 13:case 11:nA.mul(K7,K7,nA.rotZY90),nA.scale(K7,K7,gA.set(j7,h,h,h/2)),kD.addPrimitive(i,K7,rAA);break;case 14:nA.mul(K7,K7,nA.rotZY90),nA.scale(K7,K7,gA.set(j7,h,h,h/2)),kD.addPrimitive(i,K7,nAA);break;case 15:nA.mul(K7,K7,nA.rotZY90),nA.scale(K7,K7,gA.set(j7,h,h,h/2)),kD.addPrimitive(i,K7,oAA);break;default:nA.mul(K7,K7,nA.rotZYZ90),nA.scale(K7,K7,gA.set(j7,h/1.5,h,h/2)),kD.addPrimitive(i,K7,iAA)}}var m,y;return kD.getMesh(i)}var sAA=w(w({},sx),{detail:ir.Numeric(0,{min:0,max:3,step:1},Ki.CustomQualityParamInfo),sizeFactor:ir.Numeric(1.75,{min:0,max:10,step:.01})});function uAA(A){return ux({defaultProps:ir.getDefaultValues(sAA),createGeometry:aAA,createLocationIterator:gAA,getLoci:cAA,eachLocation:BAA,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.detail!==t.detail}},A)}function gAA(A){var e=A.carbohydrates.elements,t=2*e.length,r=hc.create(A);return ur(t,1,1,(function(A,t){var n=e[Math.floor(A/2)],i=n.unit.rings.all[n.ringIndex];return r.unit=n.unit,r.element=n.unit.elements[i[0]],r}),!0,(function(A,e){return A%2==1}))}function cAA(A,e,t){var r=A.objectId,n=A.groupId;if(t===r){var i=e.carbohydrates.elements[Math.floor(n/2)];return GL(e,i.unit,i.residueIndex,i.altId)}return PN}function BAA(A,e,t){var r=e.carbohydrates.getElementIndices,n=!1;if(!dI.is(A))return!1;if(!BI.areEquivalent(A.structure,e))return!1;for(var i=function(A,e){if(!TB.isAtomic(A))return"continue";Tn.forEach(e,(function(e){for(var i=r(A,A.elements[e]),o=0,a=i.length;o<a;++o)t(qr.ofSingleton(2*i[o]))&&(n=!0)}))},o=0,a=A.elements;o<a.length;o++){var s=a[o];i(s.unit,s.indices)}return n}function lAA(A,e,t,r,n){var i=e.carbohydrates,o=i.terminalLinks,a=i.elements,s=r.terminalLinkSizeFactor,u=hc.create(e),g={linkCount:o.length,position:function(A,e,t){var r=o[t];r.fromCarbohydrate?(gA.copy(A,a[r.carbohydrateIndex].geometry.center),r.elementUnit.conformation.position(r.elementUnit.elements[r.elementIndex],e)):(r.elementUnit.conformation.position(r.elementUnit.elements[r.elementIndex],A),gA.copy(e,a[r.carbohydrateIndex].geometry.center))},radius:function(A){var e=o[A];if(e.fromCarbohydrate){var r=a[e.carbohydrateIndex],n=r.unit.rings.all[r.ringIndex];u.unit=r.unit,u.element=r.unit.elements[n[0]]}else u.unit=e.elementUnit,u.element=e.elementUnit.elements[e.elementIndex];return t.size.size(u)*s},style:function(A){var e=o[A],t=e.elementUnit.elements[e.elementIndex],r=Bo(e.elementUnit.model.atomicHierarchy.atoms.type_symbol.value(t));return co.has(r)?1:0}};return I_(0,g,r,n)}var QAA=w(w(w({},hx),r_),{terminalLinkSizeFactor:ir.Numeric(.2,{min:0,max:3,step:.01})});function IAA(A){return ux({defaultProps:ir.getDefaultValues(QAA),createGeometry:lAA,createLocationIterator:dAA,getLoci:hAA,eachLocation:EAA,setUpdateState:function(A,e,t){A.createGeometry=e.terminalLinkSizeFactor!==t.terminalLinkSizeFactor||e.radialSegments!==t.radialSegments||e.linkCap!==t.linkCap}},A)}function dAA(A){var e=A.carbohydrates,t=e.elements,r=e.terminalLinks,n=r.length,i=hc.create(A);return ur(n,1,1,(function(A){var e=r[A];if(e.fromCarbohydrate){var n=t[e.carbohydrateIndex],o=n.unit.rings.all[n.ringIndex];i.unit=n.unit,i.element=n.unit.elements[o[0]]}else i.unit=e.elementUnit,i.element=e.elementUnit.elements[e.elementIndex];return i}),!0)}function hAA(A,e,t){var r=A.objectId,n=A.groupId;if(t===r){var i=e.carbohydrates,o=i.terminalLinks,a=i.elements,s=o[n],u=a[s.carbohydrateIndex];return dI.union(GL(e,u.unit,u.residueIndex,u.altId),function(A,e,t){var r=e.elements,n=e.model,i=n.atomicHierarchy.atoms.label_alt_id.value(t);return-1!==Tn.indexOf(r,t)?GL(A,e,n.atomicHierarchy.residueAtomSegments.index[t],i):dI(A,[])}(e,s.elementUnit,s.elementUnit.elements[s.elementIndex]))}return PN}function EAA(A,e,t){var r=!1;if(!dI.is(A))return!1;if(!BI.areEquivalent(A.structure,e))return!1;for(var n=e.carbohydrates.getTerminalLinkIndices,i=function(A,e){if(!TB.isAtomic(A))return"continue";Tn.forEach(e,(function(e){for(var i=n(A,A.elements[e]),o=0,a=i.length;o<a;++o)t(qr.ofSingleton(i[o]))&&(r=!0)}))},o=0,a=A.elements;o<a.length;o++){var s=a[o];i(s.unit,s.indices)}return r}var fAA={"carbohydrate-symbol":function(A,e){return RL("Carbohydrate symbol mesh",A,e,uAA)},"carbohydrate-link":function(A,e){return RL("Carbohydrate link cylinder",A,e,F7)},"carbohydrate-terminal-link":function(A,e){return RL("Carbohydrate terminal link cylinder",A,e,IAA)}},CAA=w(w(w(w({},sAA),w7),QAA),{visuals:ir.MultiSelect(["carbohydrate-symbol","carbohydrate-link","carbohydrate-terminal-link"],ir.objectToOptions(fAA)),bumpFrequency:ir.Numeric(0,{min:0,max:10,step:.1},Ki.ShadingCategory)}),pAA={name:"carbohydrate",label:"Carbohydrate",description:"Displays carbohydrate symbols (3D SNFG).",factory:function(A,e){return vR.createMulti("Carbohydrate",A,e,Fx,fAA)},getParams:function(A,e){return ir.clone(CAA)},defaultValues:ir.getDefaultValues(CAA),defaultColorTheme:{name:"carbohydrate-symbol"},defaultSizeTheme:{name:"uniform"},isApplicable:function(A){return A.models.some((function(A){return dd.hasCarbohydrate(A)}))}};function mAA(A,e){switch(A.kind){case 0:return function(A,e){for(var t=A.model.atomicRanges.cyclicPolymerMap,r=mB.transientSegments(heA(A),A.elements),n=vi.transientSegments(A.model.atomicHierarchy.residueAtomSegments,A.elements),i=A.model.atomicHierarchy.derived.residue.traceElementIndex,o=A.model.atomicHierarchy.derived.residue.moleculeType,a=-1,s=-1,u=!0,g=-1,c=0;r.hasNext;){for(u=!0,g=c,n.setSegment(r.move());n.hasNext;){if(u){var B=n.move().index;if(++c,!n.hasNext)continue;u=!1,s=B}a=s,s=n.move().index,e(i[a],i[s],c-1,c,o[a]),++c}t.has(s)&&(a=s,s=t.get(a),e(i[a],i[s],c-1,g,o[a]))}}(A,e);case 1:case 2:return function(A,e){for(var t=mB.transientSegments(heA(A),A.elements),r=A.elements,n=!0,i=0;t.hasNext;){n=!0;for(var o=t.move(),a=o.start,s=o.end;a<s;++a){if(n){if(++i,++a>s)continue;n=!1}e(r[a-1],r[a],i-1,i,0),++i}}}(A,e)}}function yAA(A,e){switch(A.kind){case 0:return function(A,e){for(var t=mB.transientSegments(heA(A),A.elements),r=vi.transientSegments(A.model.atomicHierarchy.residueAtomSegments,A.elements),n=A.model.atomicHierarchy.derived.residue.traceElementIndex,i=0;t.hasNext;)for(r.setSegment(t.move());r.hasNext;)e(n[r.move().index],i),++i}(A,e);case 1:case 2:return function(A,e){for(var t=mB.transientSegments(heA(A),A.elements),r=A.elements,n=0;t.hasNext;)for(var i=t.move(),o=i.start,a=i.end;o<a;++o)e(r[o],n),++n}(A,e)}}function vAA(A,e){return{centerA:hc.create(A,e),centerB:hc.create(A,e)}}var DAA=function(){function A(A,e){this.unit=e,this.hasNext=!1,this.traceElementIndex=e.model.atomicHierarchy.derived.residue.traceElementIndex,this.gapIt=mB.transientSegments(EeA(e),e.elements),this.value=vAA(A,e),this.hasNext=this.gapIt.hasNext}return A.prototype.move=function(){var A=this.unit,e=A.elements,t=A.residueIndex,r=this.gapIt.move();return this.value.centerA.element=this.traceElementIndex[t[e[r.start]]],this.value.centerB.element=this.traceElementIndex[t[e[r.end-1]]],this.hasNext=this.gapIt.hasNext,this.value},A}(),bAA=function(){function A(A,e){this.unit=e,this.hasNext=!1,this.gapIt=mB.transientSegments(EeA(e),e.elements),this.value=vAA(A,e),this.hasNext=this.gapIt.hasNext}return A.prototype.move=function(){var A=this.gapIt.move();return this.value.centerA.element=this.unit.elements[A.start],this.value.centerB.element=this.unit.elements[A.end-1],this.hasNext=this.gapIt.hasNext,this.value},A}();function wAA(A){for(var e=A.atomicConformation,t=e.x,r=e.y,n=e.z,i=A.atomicHierarchy.derived.residue,o=i.polymerType,a=i.traceElementIndex,s=o.length,u=Tn.ofBounds(0,A.atomicConformation.atomId.rowCount),g=mB.transientSegments(A.atomicRanges.polymerRanges,u),c=vi.transientSegments(A.atomicHierarchy.residueAtomSegments,u),B=new Float32Array(3*s),l=new Float32Array(3*s),Q=0,I=-1,d=-1,h=gA(),E=gA(),f=gA(),C=gA(),p=gA(),m=gA(),y=gA(),v=gA(),D=gA(),b=gA(),w=gA(),F=gA(),U=gA(),S=gA();g.hasNext;){var N=g.move();for(c.setSegment(N),Q=-1,d=-1;c.hasNext;){Q+=1;var R=c.move().index;0===Q&&(d=R);var H=3*(I=R-2);gA.copy(h,E),gA.copy(E,f),gA.copy(f,C);var G=a[R];if(gA.set(C,t[G],r[G],n[G]),!(Q<3)){gA.sub(p,E,h),gA.sub(m,f,E),gA.sub(y,C,f),gA.sub(w,p,m),gA.sub(F,m,y),gA.cross(U,w,F),gA.normalize(U,U),gA.toArray(U,l,H);var M=Math.cos(gA.angle(w,F)),L=gA.magnitude(w),x=gA.magnitude(F),k=Math.sqrt(x*L)/Math.max(2,2*(1-M));gA.scale(v,w,k/L),gA.sub(v,E,v),gA.toArray(v,B,H),gA.scale(D,F,k/x),gA.sub(D,f,D),gA.toArray(D,B,H+3),gA.copy(S,U)}}var Y=3*d;gA.fromArray(v,B,Y+3),gA.fromArray(D,B,Y+6),gA.normalize(U,gA.sub(U,v,D));var _=a[d];gA.set(h,t[_],r[_],n[_]),gA.copy(b,h),gA.projectPointOnVector(b,b,U,v),gA.toArray(b,B,Y);var V=I+2,T=3*V;gA.fromArray(v,B,T-3),gA.fromArray(D,B,T-6),gA.normalize(U,gA.sub(U,v,D));var P=a[V];gA.set(h,t[P],r[P],n[P]),gA.copy(b,h),gA.projectPointOnVector(b,b,U,v),gA.toArray(b,B,T)}return{centers:B}}var FAA=Id.createProvider({label:"Helix Orientation",descriptor:eo({name:"molstar_helix_orientation"}),type:"dynamic",defaultParams:{},getParams:function(){return{}},isApplicable:function(A){return!0},obtain:function(A,e){return F(void 0,void 0,void 0,(function(){return U(this,(function(A){return[2,{value:wAA(e)}]}))}))}});function UAA(A){return Ca.is(A,2)}function SAA(A,e,t){switch(void 0===t&&(t={}),A.kind){case 0:return new LAA(A,e,t);case 1:case 2:return new xAA(A,e)}}var NAA=Ca.create(536870912);function RAA(A,e){return{center:hc.create(A,e),centerPrev:hc.create(A,e),centerNext:hc.create(A,e),first:!1,last:!1,initial:!1,final:!1,secStrucFirst:!1,secStrucLast:!1,secStrucType:NAA,moleculeType:0,coarseBackboneFirst:!1,coarseBackboneLast:!1,isCoarseBackbone:!1,p0:gA(),p1:gA(),p2:gA(),p3:gA(),p4:gA(),d12:gA(),d23:gA()}}var HAA=gA(),GAA=gA(),MAA=gA(),LAA=function(){function A(A,e,t){var r;if(void 0===t&&(t={}),this.unit=A,this.state=0,this.p0=gA(),this.p1=gA(),this.p2=gA(),this.p3=gA(),this.p4=gA(),this.p5=gA(),this.p6=gA(),this.d01=gA(),this.d12=gA(),this.d23=gA(),this.d34=gA(),this.hasNext=!1,this.atomicConformation=A.model.atomicConformation,this.residueAtomSegments=A.model.atomicHierarchy.residueAtomSegments,this.polymerRanges=A.model.atomicRanges.polymerRanges,this.traceElementIndex=A.model.atomicHierarchy.derived.residue.traceElementIndex,this.directionFromElementIndex=A.model.atomicHierarchy.derived.residue.directionFromElementIndex,this.directionToElementIndex=A.model.atomicHierarchy.derived.residue.directionToElementIndex,this.moleculeType=A.model.atomicHierarchy.derived.residue.moleculeType,this.cyclicPolymerMap=A.model.atomicRanges.cyclicPolymerMap,this.polymerIt=mB.transientSegments(this.polymerRanges,A.elements),this.residueIt=vi.transientSegments(this.residueAtomSegments,A.elements),this.value=RAA(e,A),this.hasNext=this.residueIt.hasNext&&this.polymerIt.hasNext,t.ignoreSecondaryStructure||(this.secondaryStructure=null===(r=Jl.get(e).value)||void 0===r?void 0:r.get(A.invariantId)),t.useHelixOrientation){var n=FAA.get(A.model).value;if(!n)throw new Error("missing helix-orientation");this.helixOrientationCenters=n.centers}}return A.prototype.atomicPos=function(A,e){-1!==e&&(A[0]=this.atomicConformation.x[e],A[1]=this.atomicConformation.y[e],A[2]=this.atomicConformation.z[e])},A.prototype.pos=function(A,e,t){var r=this.traceElementIndex[e];this.helixOrientationCenters&&UAA(t)?gA.fromArray(A,this.helixOrientationCenters,3*e):this.atomicPos(A,r)},A.prototype.updateResidueSegmentRange=function(A){var e=this.residueAtomSegments.index;this.residueSegmentMin=e[this.polymerRanges[2*A.index]],this.residueSegmentMax=e[this.polymerRanges[2*A.index+1]]},A.prototype.getResidueIndex=function(A){if(A<this.residueSegmentMin)A=void 0!==(e=this.cyclicPolymerMap.get(this.residueSegmentMin))?e-(this.residueSegmentMin-A-1):this.residueSegmentMin;else if(A>this.residueSegmentMax){var e;A=void 0!==(e=this.cyclicPolymerMap.get(this.residueSegmentMax))?e+(A-this.residueSegmentMax-1):this.residueSegmentMax}return A},A.prototype.getSecStruc=function(A){if(this.secondaryStructure){var e=this.secondaryStructure,t=e.type[(0,e.getIndex)(A)];return UAA(t)?2:t}return NAA},A.prototype.setControlPoint=function(A,e,t,r,n){(function(A){return Ca.is(A,4)})(n)||this.helixOrientationCenters&&UAA(n)?gA.scale(A,gA.add(A,e,gA.add(A,r,gA.add(A,t,t))),1/4):gA.copy(A,t)},A.prototype.setFromToVector=function(A,e,t){this.value.isCoarseBackbone||this.helixOrientationCenters&&UAA(t)?gA.set(A,1,0,0):(this.atomicPos(GAA,this.directionFromElementIndex[e]),this.atomicPos(MAA,this.directionToElementIndex[e]),gA.sub(A,MAA,GAA))},A.prototype.setDirection=function(A,e,t,r){gA.matchDirection(GAA,e,t),gA.matchDirection(MAA,r,t),gA.scale(A,gA.add(A,GAA,gA.add(A,MAA,gA.add(A,t,t))),1/4)},A.prototype.move=function(){var A=this,e=A.residueIt,t=A.polymerIt,r=A.value;if(0===this.state)for(;t.hasNext;)if(this.polymerSegment=t.move(),e.setSegment(this.polymerSegment),this.updateResidueSegmentRange(this.polymerSegment),e.hasNext){this.state=1;var n=this.residueAtomSegments.index[this.unit.elements[this.polymerSegment.start]],i=this.getResidueIndex(n-1);this.currSecStrucType=n===i?NAA:this.getSecStruc(i),this.nextSecStrucType=this.getSecStruc(n),this.currCoarseBackbone=-1===this.directionFromElementIndex[i]||-1===this.directionToElementIndex[i],this.nextCoarseBackbone=-1===this.directionFromElementIndex[n]||-1===this.directionToElementIndex[n];break}if(1===this.state){var o=e.move().index,a=this.getResidueIndex(o-3),s=this.getResidueIndex(o-2),u=this.getResidueIndex(o-1),g=this.getResidueIndex(o+1),c=this.getResidueIndex(o+2),B=this.getResidueIndex(o+3);this.prevSecStrucType=this.currSecStrucType,this.currSecStrucType=this.nextSecStrucType,this.nextSecStrucType=o===g?NAA:this.getSecStruc(g),this.prevCoarseBackbone=this.currCoarseBackbone,this.currCoarseBackbone=this.nextCoarseBackbone,this.nextCoarseBackbone=-1===this.directionFromElementIndex[g]||-1===this.directionToElementIndex[g],r.secStrucType=this.currSecStrucType,r.secStrucFirst=this.prevSecStrucType!==this.currSecStrucType,r.secStrucLast=this.currSecStrucType!==this.nextSecStrucType,r.isCoarseBackbone=this.currCoarseBackbone,r.coarseBackboneFirst=this.prevCoarseBackbone!==this.currCoarseBackbone,r.coarseBackboneLast=this.currCoarseBackbone!==this.nextCoarseBackbone,r.first=o===this.residueSegmentMin,r.last=o===this.residueSegmentMax,r.moleculeType=this.moleculeType[o],r.initial=o===u,r.final=o===g,r.centerPrev.element=this.traceElementIndex[u],r.center.element=this.traceElementIndex[o],r.centerNext.element=this.traceElementIndex[g];var l=this.getSecStruc(a),Q=this.getSecStruc(s),I=this.getSecStruc(u),d=this.getSecStruc(o),h=this.getSecStruc(g),E=this.getSecStruc(c),f=this.getSecStruc(B);this.pos(this.p0,a,l),this.pos(this.p1,s,Q),this.pos(this.p2,u,I),this.pos(this.p3,o,d),this.pos(this.p4,g,h),this.pos(this.p5,c,E),this.pos(this.p6,B,f);var C=UAA(l),p=UAA(Q),m=UAA(I),y=UAA(d),v=UAA(h),D=UAA(E),b=UAA(f);this.helixOrientationCenters&&(y!==m?y?(gA.copy(this.p0,this.p3),gA.copy(this.p1,this.p3),gA.copy(this.p2,this.p3)):m&&(gA.scale(HAA,gA.sub(HAA,this.p2,this.p3),2),gA.add(this.p2,this.p3,HAA),gA.add(this.p1,this.p2,HAA),gA.add(this.p0,this.p1,HAA)):y!==p?y?(gA.copy(this.p0,this.p2),gA.copy(this.p1,this.p2)):p&&(gA.scale(HAA,gA.sub(HAA,this.p1,this.p2),2),gA.add(this.p1,this.p2,HAA),gA.add(this.p0,this.p1,HAA)):y!==C&&(y?gA.copy(this.p0,this.p1):C&&(gA.scale(HAA,gA.sub(HAA,this.p0,this.p1),2),gA.add(this.p0,this.p1,HAA))),y!==v?y?(gA.copy(this.p4,this.p3),gA.copy(this.p5,this.p3),gA.copy(this.p6,this.p3)):v&&(gA.scale(HAA,gA.sub(HAA,this.p4,this.p3),2),gA.add(this.p4,this.p3,HAA),gA.add(this.p5,this.p4,HAA),gA.add(this.p6,this.p5,HAA)):y!==D?y?(gA.copy(this.p5,this.p4),gA.copy(this.p6,this.p4)):D&&(gA.scale(HAA,gA.sub(HAA,this.p5,this.p4),2),gA.add(this.p5,this.p4,HAA),gA.add(this.p6,this.p5,HAA)):y!==b&&(y?gA.copy(this.p6,this.p5):b&&(gA.scale(HAA,gA.sub(HAA,this.p6,this.p5),2),gA.add(this.p6,this.p5,HAA)))),this.setFromToVector(this.d01,u,I),this.setFromToVector(this.d12,o,d),this.setFromToVector(this.d23,g,h),this.setFromToVector(this.d34,c,E);var w=y&&this.helixOrientationCenters,F=1.5;o===u||d!==I&&w?(gA.setMagnitude(HAA,gA.sub(HAA,this.p3,this.p4),F),gA.add(this.p2,this.p3,HAA),gA.add(this.p1,this.p2,HAA),gA.add(this.p0,this.p1,HAA)):u===s||d!==Q&&w?(gA.setMagnitude(HAA,gA.sub(HAA,this.p2,this.p3),F),gA.add(this.p1,this.p2,HAA),gA.add(this.p0,this.p1,HAA)):(s===a||d!==l&&w)&&(gA.setMagnitude(HAA,gA.sub(HAA,this.p1,this.p2),F),gA.add(this.p0,this.p1,HAA)),o===g||d!==h&&w?(gA.setMagnitude(HAA,gA.sub(HAA,this.p3,this.p2),F),gA.add(this.p4,this.p3,HAA),gA.add(this.p5,this.p4,HAA),gA.add(this.p6,this.p5,HAA)):g===c||d!==E&&w?(gA.setMagnitude(HAA,gA.sub(HAA,this.p4,this.p3),F),gA.add(this.p5,this.p4,HAA),gA.add(this.p6,this.p5,HAA)):(c===B||d!==f&&w)&&(gA.setMagnitude(HAA,gA.sub(HAA,this.p5,this.p4),F),gA.add(this.p6,this.p5,HAA)),this.setControlPoint(r.p0,this.p0,this.p1,this.p2,Q),this.setControlPoint(r.p1,this.p1,this.p2,this.p3,I),this.setControlPoint(r.p2,this.p2,this.p3,this.p4,d),this.setControlPoint(r.p3,this.p3,this.p4,this.p5,h),this.setControlPoint(r.p4,this.p4,this.p5,this.p6,E),this.setDirection(r.d12,this.d01,this.d12,this.d23),this.setDirection(r.d23,this.d12,this.d23,this.d34),e.hasNext||(this.state=0)}return this.hasNext=e.hasNext||t.hasNext,this.value},A}(),xAA=function(){function A(A,e){switch(this.unit=A,this.state=0,this.hasNext=!1,this.polymerIt=mB.transientSegments(heA(A),A.elements),this.value=RAA(e,A),gA.set(this.value.d12,1,0,0),gA.set(this.value.d23,1,0,0),A.kind){case 1:this.conformation=A.model.coarseConformation.spheres;break;case 2:this.conformation=A.model.coarseConformation.gaussians}this.hasNext=this.polymerIt.hasNext}return A.prototype.getElementIndex=function(A){return Math.min(Math.max(this.polymerSegment.start,A),this.polymerSegment.end-1)},A.prototype.pos=function(A,e){var t=this.unit.elements[e];A[0]=this.conformation.x[t],A[1]=this.conformation.y[t],A[2]=this.conformation.z[t]},A.prototype.move=function(){if(0===this.state)for(;this.polymerIt.hasNext;)if(this.polymerSegment=this.polymerIt.move(),this.elementIndex=this.polymerSegment.start,this.elementIndex<this.polymerSegment.end){this.state=1;break}if(1===this.state){var A=this.getElementIndex(this.elementIndex-2),e=this.getElementIndex(this.elementIndex-1),t=this.getElementIndex(this.elementIndex+1),r=this.getElementIndex(this.elementIndex+2);this.value.centerPrev.element=this.value.center.unit.elements[e],this.value.center.element=this.value.center.unit.elements[this.elementIndex],this.value.centerNext.element=this.value.center.unit.elements[t],this.pos(this.value.p0,A),this.pos(this.value.p1,e),this.pos(this.value.p2,this.elementIndex),this.pos(this.value.p3,t),this.pos(this.value.p4,r);var n=.5;this.elementIndex===e?(gA.scale(HAA,gA.sub(HAA,this.value.p2,this.value.p3),n),gA.add(this.value.p1,this.value.p2,HAA),gA.add(this.value.p0,this.value.p1,HAA)):e===A&&(gA.scale(HAA,gA.sub(HAA,this.value.p1,this.value.p2),n),gA.add(this.value.p0,this.value.p1,HAA)),this.elementIndex===t?(gA.scale(HAA,gA.sub(HAA,this.value.p2,this.value.p1),n),gA.add(this.value.p3,this.value.p2,HAA),gA.add(this.value.p4,this.value.p3,HAA)):t===r&&(gA.scale(HAA,gA.sub(HAA,this.value.p3,this.value.p2),n),gA.add(this.value.p4,this.value.p3,HAA)),this.value.first=this.elementIndex===this.polymerSegment.start,this.value.last=this.elementIndex===this.polymerSegment.end-1,this.elementIndex+1>=this.polymerSegment.end&&(this.state=0)}return this.hasNext=this.elementIndex+1<this.polymerSegment.end||this.polymerIt.hasNext,this.elementIndex+=1,this.value},A}(),kAA=gA.fromArray,YAA=gA.toArray,_AA=gA.normalize,VAA=gA.sub,TAA=gA.spline,PAA=gA.slerp,JAA=gA.copy,OAA=gA.cross,KAA=gA.orthogonalize,jAA=gA.matchDirection,zAA=gA.scale,qAA=gA.add;function ZAA(A){var e=A+1,t=3*e;return{curvePoints:new Float32Array(t),tangentVectors:new Float32Array(t),normalVectors:new Float32Array(t),binormalVectors:new Float32Array(t),widthValues:new Float32Array(e),heightValues:new Float32Array(e),linearSegments:A}}function WAA(A,e,t,r){!function(A,e,t,r){for(var n=A.curvePoints,i=A.tangentVectors,o=A.linearSegments,a=e.p0,s=e.p1,u=e.p2,g=e.p3,c=e.p4,B=1-r,l=e.secStrucFirst?.5:t,Q=e.secStrucLast?.5:t,I=0;I<=o;++I){var d=1*I/o;if(d<B){var h=oA(l,t,d);TAA(AeA,a,s,u,g,d+r,h),TAA(XAA,a,s,u,g,d+r+.01,l),TAA($AA,a,s,u,g,d+r-.01,l)}else h=oA(t,Q,d),TAA(AeA,s,u,g,c,d-B,h),TAA(XAA,s,u,g,c,d-B+.01,h),TAA($AA,s,u,g,c,d-B-.01,h);YAA(AeA,n,3*I),_AA(teA,VAA(teA,XAA,$AA)),YAA(teA,i,3*I)}}(A,e,t,r),function(A,e){var t=A.curvePoints,r=A.tangentVectors,n=A.normalVectors,i=A.binormalVectors,o=e.d12,a=e.d23,s=t.length/3;kAA(aeA,r,0),kAA(seA,r,3*(s-1)),KAA(ueA,aeA,o),KAA(geA,seA,a),jAA(geA,geA,ueA),JAA(ieA,ueA);for(var u=s-1,g=0;g<s;++g){var c=uA(0,u,g)*u,B=0===g?0:1/(s-c);kAA(teA,r,3*g),KAA(reA,teA,PAA(eeA,ieA,geA,B)),YAA(reA,n,3*g),JAA(ieA,reA),_AA(neA,OAA(neA,teA,reA)),YAA(neA,i,3*g)}for(g=1;g<u;++g)kAA(ieA,n,3*(g-1)),kAA(reA,n,3*g),kAA(oeA,n,3*(g+1)),zAA(reA,qAA(reA,ieA,qAA(reA,oeA,reA)),1/3),YAA(reA,n,3*g),kAA(teA,r,3*g),_AA(neA,OAA(neA,teA,reA)),YAA(neA,i,3*g)}(A,e)}var XAA=gA(),$AA=gA(),AeA=gA(),eeA=gA(),teA=gA(),reA=gA(),neA=gA(),ieA=gA(),oeA=gA(),aeA=gA(),seA=gA(),ueA=gA(),geA=gA();function ceA(A,e,t,r,n,i,o,a){for(var s=A.widthValues,u=A.heightValues,g=A.linearSegments,c=1-a,B=0;B<=g;++B){var l=1*B/g;l<c?(s[B]=oA(e,t,l+a),u[B]=oA(n,i,l+a)):(s[B]=oA(t,r,l-c),u[B]=oA(i,o,l-c))}}var BeA,leA,QeA,IeA=.5,deA=.3;function heA(A){switch(A.kind){case 0:return A.model.atomicRanges.polymerRanges;case 1:return A.model.coarseHierarchy.spheres.polymerRanges;case 2:return A.model.coarseHierarchy.gaussians.polymerRanges}}function EeA(A){switch(A.kind){case 0:return A.model.atomicRanges.gapRanges;case 1:return A.model.coarseHierarchy.spheres.gapRanges;case 2:return A.model.coarseHierarchy.gaussians.gapRanges}}function feA(A,e,t){var r=A.objectId,n=A.instanceId,i=A.groupId;if(t===r){var o=e.structure,a=e.group.units[n];if(TB.isAtomic(a))return HL(o,a,a.polymerElements[i]);var s=a.elements,u=a.polymerElements[i],g=Tn.indexOf(s,u);if(-1!==g)return dI(o,[{unit:a,indices:Tn.ofSingleton(g)}])}return PN}function CeA(A,e,t,r,n,i){for(var o=-1,a=-1,s=n;s<=i;s++)if(!((g=t[s])<0)&&(o=Tn.indexOf(e,g))>=0){a=s;break}if(o<0)return!1;var u=o;for(s=i;s>a;s--){var g;if(!((g=t[s])<0)){var c=Tn.indexOf(e,g);if(c>=0){u=c;break}}}return r(qr.ofRange(A+o,A+u))}function peA(A,e,t,r,n){var i=!1,o=n.unit.elements,a=n.unit.model.atomicHierarchy.derived.residue.traceElementIndex,s=n.unit.model.atomicHierarchy.residueAtomSegments.index,u=t(n.unit);if(qr.is(n.indices))i=0===qr.start(n.indices)&&qr.end(n.indices)===n.unit.elements.length?r(qr.ofBounds(A,A+e))||i:CeA(A,u,a,r,l=s[o[qr.min(n.indices)]],Q=s[o[qr.max(n.indices)]])||i;else for(var g=n.indices,c=0,B=g.length;c<B;c++){for(var l,Q=l=s[o[g[c]]],I=c+1;I<B;){var d=s[o[g[I]]];if(d-Q>1)break;Q=d,I++}c=I-1,i=CeA(A,u,a,r,l,Q)||i}return i}function meA(A){return A.polymerElements}function yeA(A,e,t){var r=!1;if(!dI.is(A))return!1;var n=e.structure,i=e.group;if(!BI.areEquivalent(A.structure,n))return!1;for(var o=i.units[0].polymerElements.length,a=0,s=A.elements;a<s.length;a++){var u=s[a];if(i.unitIndexMap.has(u.unit.id)){var g=i.unitIndexMap.get(u.unit.id)*o;if(TB.isAtomic(u.unit))r=peA(g,o,meA,t,u)||r;else if(qr.is(u.indices)){var c=g+qr.start(u.indices),B=g+qr.end(u.indices);r=t(qr.ofBounds(c,B))||r}else for(var l=0,Q=u.indices.length;l<Q;l++){c=u.indices[l];for(var I=l+1;I<Q&&u.indices[I]===c;)I++;l=I-1,B=u.indices[l],r=t(qr.ofRange(g+c,g+B))||r}}}return r}function veA(A,e,t){var r=A.objectId,n=A.instanceId,i=A.groupId;if(t===r){var o=e.structure,a=e.group.units[n],s=Tn.indexOf(a.elements,a.gapElements[i]),u=Tn.indexOf(a.elements,a.gapElements[i%2?i-1:i+1]);if(-1!==s&&-1!==u)return oB.Loci(o,[oB.Location(o,a,s,o,a,u),oB.Location(o,a,u,o,a,s)])}return PN}function DeA(A,e,t){var r=!1;if(oB.isLoci(A)){var n=e.structure,i=e.group;if(!BI.areRootsEquivalent(A.structure,n))return!1;A=oB.remapLoci(A,n);for(var o=i.units[0].gapElements.length,a=0,s=A.bonds;a<s.length;a++){var u=s[a],g=i.unitIndexMap.get(u.aUnit.id);if(void 0!==g){var c=Tn.indexOf(u.aUnit.gapElements,u.aUnit.elements[u.aIndex]),B=Tn.indexOf(u.bUnit.gapElements,u.bUnit.elements[u.bIndex]);-1!==c&&-1!==B&&t(qr.ofSingleton(g*o+c))&&(r=!0)}}}else if(dI.is(A)){if(n=e.structure,i=e.group,!BI.areRootsEquivalent(A.structure,n))return!1;A=dI.remap(A,n);for(var l=i.units[0].gapElements.length,Q=function(A){var e=i.unitIndexMap.get(A.unit.id);void 0!==e&&Tn.forEach(A.indices,(function(n){var i=Tn.indexOf(A.unit.gapElements,A.unit.elements[n]);-1!==i&&t(qr.ofSingleton(e*l+i))&&(r=!0)}))},I=0,d=A.elements;I<d.length;I++)Q(d[I])}return r}function beA(A,e,t){var r=A.objectId,n=A.instanceId,i=A.groupId;if(t===r){var o=e.structure,a=e.group.units[n];if(TB.isAtomic(a))return HL(o,a,a.nucleotideElements[i])}return PN}function weA(A){return A.nucleotideElements}function FeA(A,e,t){var r=!1;if(!dI.is(A))return!1;var n=e.structure,i=e.group;if(!BI.areEquivalent(A.structure,n))return!1;var o=i.units[0];if(!TB.isAtomic(o))return!1;for(var a=o.nucleotideElements.length,s=0,u=A.elements;s<u.length;s++){var g=u[s];if(TB.isAtomic(g.unit)&&i.unitIndexMap.has(g.unit.id)){var c=i.unitIndexMap.get(g.unit.id)*a;TB.isAtomic(g.unit)&&(r=peA(c,a,weA,t,g)||r)}}return r}!function(A){A.fromGroup=function(A){var e=A.group,t=A.structure,r=e.units[0].polymerElements,n=r.length,i=e.units.length,o=hc.create(t);return ur(n,i,1,(function(A,t){var n=e.units[t];return o.unit=n,o.element=r[A],o}))}}(BeA||(BeA={})),function(A){A.fromGroup=function(A){var e=A.group,t=A.structure,r=e.units[0].gapElements,n=r.length,i=e.units.length,o=hc.create(t);return ur(n,i,1,(function(A,t){var n=e.units[t];return o.unit=n,o.element=r[A],o}))}}(leA||(leA={})),function(A){A.fromGroup=function(A){var e=A.group,t=A.structure,r=e.units[0],n=TB.isAtomic(r)?r.nucleotideElements:[],i=n.length,o=e.units.length,a=hc.create(t);return ur(i,o,1,(function(A,t){var r=e.units[t];return a.unit=r,a.element=n[A],a}))}}(QeA||(QeA={}));var UeA=gA(),SeA=gA(),NeA=gA(),ReA=gA(),HeA=gA(),GeA=gA(),MeA=gA(),LeA=gA(),xeA=gA(),keA=gA(),YeA=nA.identity(),_eA=gA(),VeA=Py(),TeA={sizeFactor:ir.Numeric(.2,{min:0,max:10,step:.01}),radialSegments:ir.Numeric(16,{min:2,max:56,step:2},Ki.CustomQualityParamInfo)};function PeA(A,e,t,r,n,i){if(!TB.isAtomic(e))return Yv.createEmpty(i);var o=e.nucleotideElements.length;if(!o)return Yv.createEmpty(i);for(var a=n.sizeFactor,s=n.radialSegments,u=o*(VeA.vertices.length/3+2*s),g=kD.createState(u,u/4,i),c=e.elements,B=e.model,l=B.atomicHierarchy,Q=l.chainAtomSegments,I=l.residueAtomSegments,d=l.atoms,h=l.index,E=B.atomicHierarchy.derived.residue,f=E.moleculeType,C=E.traceElementIndex,p=d.label_comp_id,m=e.conformation.invariantPosition,y=vi.transientSegments(Q,c),v=vi.transientSegments(I,c),D={radiusTop:1*a,radiusBottom:1*a,radialSegments:s,bottomCap:!0},b=0;y.hasNext;)for(v.setSegment(y.move());v.hasNext;){var w=v.move().index;if(ns(f[w])){var F=p.value(I.offsets[w]),U=-1,S=-1,N=-1,R=-1,H=-1,G=-1,M=2.5*a,L=4.5,x=qa(F),k=Za(F);if(!x&&!k){var Y=h.findAtomOnResidue(w,"C4"),_=h.findAtomOnResidue(w,"N9");-1!==Y&&-1!==_&&gA.distance(m(Y,UeA),m(_,SeA))<1.6?x=!0:k=!0}x?(L=4.5,U=h.findAtomOnResidue(w,"N1"),S=h.findAtomOnResidue(w,"C4"),N=h.findAtomOnResidue(w,"C6"),R=h.findAtomOnResidue(w,"C2"),H=h.findAtomOnResidue(w,"N9"),G=C[w]):k&&(L=3,U=h.findAtomOnResidue(w,"N3"),S=h.findAtomOnResidue(w,"C6"),N=h.findAtomOnResidue(w,"C4"),R=h.findAtomOnResidue(w,"C2"),-1===(H=h.findAtomOnResidue(w,"N1"))&&(H=h.findAtomOnResidue(w,"C1")),G=C[w]),-1!==H&&-1!==G&&(m(H,HeA),m(G,GeA),g.currentGroup=b,MD(g,HeA,GeA,1,D),-1!==U&&-1!==S&&-1!==N&&-1!==R&&(m(U,UeA),m(S,SeA),m(N,NeA),m(R,ReA),gA.normalize(MeA,gA.sub(MeA,SeA,UeA)),gA.normalize(LeA,gA.sub(LeA,ReA,NeA)),gA.normalize(xeA,gA.cross(xeA,MeA,LeA)),nA.targetTo(YeA,UeA,SeA,xeA),gA.scaleAndAdd(keA,UeA,MeA,L/2-.2),nA.scale(YeA,YeA,gA.set(_eA,4.5,M,L)),nA.setTranslation(YeA,keA),kD.addPrimitive(g,YeA,VeA))),++b}}var V=kD.getMesh(g),T=Ss.expand(Ss(),e.boundary.sphere,1*n.sizeFactor);return V.setBoundingSphere(T),V}ir.getDefaultValues(TeA);var JeA=w(w({},hx),TeA);function OeA(A){return Ex({defaultProps:ir.getDefaultValues(JeA),createGeometry:PeA,createLocationIterator:QeA.fromGroup,getLoci:beA,eachLocation:FeA,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.radialSegments!==t.radialSegments}},A)}var KeA=gA.zero(),jeA=gA.zero(),zeA=gA.zero(),qeA=gA.zero(),ZeA=gA.zero(),WeA=gA.zero(),XeA=gA.zero(),$eA=gA.zero(),AtA=gA.zero(),etA=gA.zero(),ttA=gA.zero(),rtA={sizeFactor:ir.Numeric(.2,{min:0,max:10,step:.01}),radialSegments:ir.Numeric(16,{min:2,max:56,step:2},Ki.CustomQualityParamInfo),detail:ir.Numeric(0,{min:0,max:3,step:1},Ki.CustomQualityParamInfo)},ntA=(ir.getDefaultValues(rtA),new Float32Array(54)),itA=new Uint32Array([0,1,2,3,4,5,6,7,16,17,14,15,12,13,8,9,10,11,0,1]),otA=new Uint32Array([8,12,14,16,6,4,2,0,10]),atA=new Uint32Array([9,11,1,3,5,7,17,15,13]),stA=new Float32Array(36),utA=new Uint32Array([0,1,2,3,4,5,6,7,8,9,10,11,0,1]),gtA=new Uint32Array([0,10,8,6,4,2]),ctA=new Uint32Array([1,3,5,7,9,11]),BtA=gA.zero();function ltA(A,e){for(var t=[],r=2;r<arguments.length;r++)t[r-2]=arguments[r];for(var n=0,i=t.length;n<i;++n){var o=t[n];gA.toArray(gA.add(BtA,o,e),A,2*n*3),gA.toArray(gA.sub(BtA,o,e),A,3*(2*n+1))}}function QtA(A,e,t,r,n,i){if(!TB.isAtomic(e))return Yv.createEmpty(i);var o=e.nucleotideElements.length;if(!o)return Yv.createEmpty(i);for(var a=n.sizeFactor,s=n.radialSegments,u=n.detail,g=o*(26+2*s),c=kD.createState(g,g/4,i),B=e.elements,l=e.model,Q=l.atomicHierarchy,I=Q.chainAtomSegments,d=Q.residueAtomSegments,h=Q.atoms,E=Q.index,f=l.atomicHierarchy.derived.residue,C=f.moleculeType,p=f.traceElementIndex,m=h.label_comp_id,y=e.conformation.invariantPosition,v=vi.transientSegments(I,B),D=vi.transientSegments(d,B),b=1*a,w=1.25*a,F={radiusTop:1*a,radiusBottom:1*a,radialSegments:s},U=0;v.hasNext;)for(D.setSegment(v.move());D.hasNext;){var S=D.move().index;if(ns(C[S])){var N=m.value(d.offsets[S]),R=-1,H=-1,G=-1,M=-1,L=-1,x=-1,k=-1,Y=-1,_=-1,V=-1;c.currentGroup=U;var T=qa(N),P=Za(N);if(!T&&!P){var J=E.findAtomOnResidue(S,"C4"),O=E.findAtomOnResidue(S,"N9");-1!==J&&-1!==O&&gA.distance(y(J,ZeA),y(O,etA))<1.6?T=!0:P=!0}T?(R=p[S],H=E.findAtomOnResidue(S,"N1"),G=E.findAtomOnResidue(S,"C2"),M=E.findAtomOnResidue(S,"N3"),L=E.findAtomOnResidue(S,"C4"),-1===(x=E.findAtomOnResidue(S,"C5"))&&(x=E.findAtomOnResidue(S,"N5")),k=E.findAtomOnResidue(S,"C6"),-1===(Y=E.findAtomOnResidue(S,"N7"))&&(Y=E.findAtomOnResidue(S,"C7")),_=E.findAtomOnResidue(S,"C8"),-1!==(V=E.findAtomOnResidue(S,"N9"))&&-1!==R&&(y(V,etA),y(R,KeA),c.currentGroup=U,MD(c,etA,KeA,1,F),oD(c,etA,b,u)),-1!==H&&-1!==G&&-1!==M&&-1!==L&&-1!==x&&-1!==k&&-1!==Y&&-1!==_&&-1!==V&&(y(H,jeA),y(G,zeA),y(M,qeA),y(L,ZeA),y(x,WeA),y(k,XeA),y(Y,$eA),y(_,AtA),gA.triangleNormal(ttA,jeA,ZeA,WeA),gA.scale(ttA,ttA,w),ltA(ntA,ttA,jeA,zeA,qeA,ZeA,WeA,XeA,$eA,AtA,etA),kD.addTriangleStrip(c,ntA,itA),kD.addTriangleFan(c,ntA,otA),kD.addTriangleFan(c,ntA,atA))):P&&(R=p[S],-1===(H=E.findAtomOnResidue(S,"N1"))&&(H=E.findAtomOnResidue(S,"C1")),G=E.findAtomOnResidue(S,"C2"),M=E.findAtomOnResidue(S,"N3"),L=E.findAtomOnResidue(S,"C4"),x=E.findAtomOnResidue(S,"C5"),k=E.findAtomOnResidue(S,"C6"),-1!==H&&-1!==R&&(y(H,jeA),y(R,KeA),c.currentGroup=U,MD(c,jeA,KeA,1,F),oD(c,jeA,b,u)),-1!==H&&-1!==G&&-1!==M&&-1!==L&&-1!==x&&-1!==k&&(y(G,zeA),y(M,qeA),y(L,ZeA),y(x,WeA),y(k,XeA),gA.triangleNormal(ttA,jeA,ZeA,WeA),gA.scale(ttA,ttA,w),ltA(stA,ttA,jeA,zeA,qeA,ZeA,WeA,XeA),kD.addTriangleStrip(c,stA,utA),kD.addTriangleFan(c,stA,gtA),kD.addTriangleFan(c,stA,ctA))),++U}}var K=kD.getMesh(c),j=Ss.expand(Ss(),e.boundary.sphere,1*n.sizeFactor);return K.setBoundingSphere(j),K}var ItA=w(w({},hx),rtA);function dtA(A){return Ex({defaultProps:ir.getDefaultValues(ItA),createGeometry:QtA,createLocationIterator:QeA.fromGroup,getLoci:beA,eachLocation:FeA,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.radialSegments!==t.radialSegments}},A)}var htA=nA.identity(),EtA=gA.zero(),ftA=gA.zero(),CtA=gA.zero(),ptA=gA.zero(),mtA=R0(),ytA={sizeFactor:ir.Numeric(.2,{min:0,max:10,step:.01})};function vtA(A,e,t,r,n,i){var o=e.polymerElements.length;if(!o)return Yv.createEmpty(i);for(var a=n.sizeFactor,s=24*o,u=kD.createState(s,s/10,i),g=ZAA(1),c=g.normalVectors,B=g.binormalVectors,l=0,Q=SAA(e,t);Q.hasNext;){var I=Q.move();u.currentGroup=l;var d=ns(I.moleculeType),h=Ca.is(I.secStrucType,4);if(WAA(g,I,d||h?.5:.9,d?.3:.5),h&&!I.secStrucLast||!h){var E=r.size.size(I.center)*a,f=4*E,C=4*E,p=6*E,m=d?B:c;gA.fromArray(ftA,m,0),gA.fromArray(CtA,m,3),gA.normalize(ptA,gA.add(ptA,ftA,CtA)),nA.targetTo(htA,I.p3,I.p1,ptA),nA.mul(htA,htA,nA.rotY90Z180),nA.scale(htA,htA,gA.set(EtA,p,C,f)),nA.setTranslation(htA,I.p2),kD.addPrimitive(u,htA,mtA)}++l}var y=kD.getMesh(u),v=Ss.expand(Ss(),e.boundary.sphere,1*n.sizeFactor);return y.setBoundingSphere(v),y}ir.getDefaultValues(ytA);var DtA=w(w({},hx),ytA);function btA(A){return Ex({defaultProps:ir.getDefaultValues(DtA),createGeometry:vtA,createLocationIterator:BeA.fromGroup,getLoci:feA,eachLocation:yeA,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor}},A)}var wtA={sizeFactor:ir.Numeric(.2,{min:0,max:10,step:.01}),radialSegments:ir.Numeric(16,{min:2,max:56,step:2},Ki.CustomQualityParamInfo)};function FtA(A,e,t,r,n,i){var o=e.gapElements.length;if(!o)return Yv.createEmpty(i);for(var a=n.sizeFactor,s=n.radialSegments,u=10*s*2*o*2,g=kD.createState(u,u/10,i),c=e.conformation.invariantPosition,B=gA.zero(),l=gA.zero(),Q={radiusTop:1,radiusBottom:1,topCap:!0,bottomCap:!0,radialSegments:s},I=0,d=function(A,e){switch(e.kind){case 0:return new DAA(A,e);case 1:case 2:return new bAA(A,e)}}(t,e);d.hasNext;){var h=d.move(),E=h.centerA,f=h.centerB;E.element===f.element||(c(E.element,B),c(f.element,l),Q.radiusTop=Q.radiusBottom=r.size.size(E)*a,g.currentGroup=I,xD(g,B,l,.5,10,Q),Q.radiusTop=Q.radiusBottom=r.size.size(f)*a,g.currentGroup=I+1,xD(g,l,B,.5,10,Q)),I+=2}var C=kD.getMesh(g),p=Ss.expand(Ss(),e.boundary.sphere,1*n.sizeFactor);return C.setBoundingSphere(p),C}ir.getDefaultValues(wtA);var UtA=w(w({},hx),wtA);function StA(A){return Ex({defaultProps:ir.getDefaultValues(UtA),createGeometry:FtA,createLocationIterator:leA.fromGroup,getLoci:veA,eachLocation:DeA,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.radialSegments!==t.radialSegments}},A)}var NtA=gA(),RtA=gA(),HtA=gA(),GtA=gA(),MtA=gA(),LtA=gA(),xtA=gA(),ktA=gA(),YtA=gA(),_tA=gA(),VtA=gA(),TtA=gA(),PtA=gA(),JtA=gA(),OtA=gA(),KtA=gA.fromArray,jtA=gA.scale,ztA=gA.add,qtA=gA.sub,ZtA=gA.magnitude,WtA=gA.negate,XtA=gA.copy,$tA=gA.cross,ArA=gA.set,erA=HA.add3,trA=HA.add;function rrA(A,e,t,r,n,i,o,a,s){var u=e.vertices,g=e.normals,c=e.indices,B=u.elementCount;if(KtA(NtA,r,A),jtA(xtA,NtA,o),jtA(LtA,NtA,a),KtA(RtA,n,A),jtA(GtA,RtA,i),$tA(_tA,RtA,NtA),KtA(YtA,t,A),ztA(TtA,ztA(TtA,YtA,GtA),LtA),qtA(PtA,ztA(PtA,YtA,GtA),xtA),qtA(JtA,qtA(JtA,YtA,GtA),xtA),ztA(OtA,qtA(OtA,YtA,GtA),LtA),o<a?(erA(u,OtA[0],OtA[1],OtA[2]),erA(u,JtA[0],JtA[1],JtA[2]),erA(u,PtA[0],PtA[1],PtA[2]),erA(u,TtA[0],TtA[1],TtA[2]),XtA(MtA,LtA)):(erA(u,TtA[0],TtA[1],TtA[2]),erA(u,PtA[0],PtA[1],PtA[2]),erA(u,JtA[0],JtA[1],JtA[2]),erA(u,OtA[0],OtA[1],OtA[2]),XtA(MtA,xtA)),s){for(var l=0;l<4;++l)erA(g,-_tA[0],-_tA[1],-_tA[2]);erA(c,B,B+1,B+2),erA(c,B+2,B+3,B)}else{for(l=0;l<4;++l)erA(g,_tA[0],_tA[1],_tA[2]);erA(c,B+2,B+1,B),erA(c,B,B+3,B+2)}}function nrA(A,e,t,r,n,i,o,a,s,u){var g=A.currentGroup,c=A.vertices,B=A.normals,l=A.indices,Q=A.groups,I=c.elementCount,d=0;a>0?(KtA(NtA,e,0),KtA(RtA,e,3*n),d=a/ZtA(qtA(HtA,RtA,NtA))):ArA(ktA,0,0,0);for(var h=0;h<=n;++h){var E=i[h],f=o[h],C=0===a?f:a*(1-h/n),p=3*h;KtA(MtA,t,p),jtA(MtA,MtA,C),KtA(GtA,r,p),jtA(GtA,GtA,E),a>0&&(KtA(NtA,t,p),KtA(RtA,r,p),jtA(ktA,$tA(ktA,NtA,RtA),d)),KtA(YtA,e,p),KtA(_tA,t,p),KtA(VtA,r,p),ztA(NtA,ztA(NtA,YtA,GtA),MtA),ztA(RtA,_tA,ktA),erA(c,NtA[0],NtA[1],NtA[2]),erA(B,RtA[0],RtA[1],RtA[2]),ztA(NtA,qtA(NtA,YtA,GtA),MtA),erA(c,NtA[0],NtA[1],NtA[2]),erA(B,RtA[0],RtA[1],RtA[2]),WtA(RtA,VtA),erA(c,NtA[0],NtA[1],NtA[2]),erA(B,RtA[0],RtA[1],RtA[2]),qtA(NtA,qtA(NtA,YtA,GtA),MtA),erA(c,NtA[0],NtA[1],NtA[2]),erA(B,RtA[0],RtA[1],RtA[2]),ztA(RtA,WtA(RtA,_tA),ktA),erA(c,NtA[0],NtA[1],NtA[2]),erA(B,RtA[0],RtA[1],RtA[2]),qtA(NtA,ztA(NtA,YtA,GtA),MtA),erA(c,NtA[0],NtA[1],NtA[2]),erA(B,RtA[0],RtA[1],RtA[2]),XtA(RtA,VtA),erA(c,NtA[0],NtA[1],NtA[2]),erA(B,RtA[0],RtA[1],RtA[2]),ztA(NtA,ztA(NtA,YtA,GtA),MtA),erA(c,NtA[0],NtA[1],NtA[2]),erA(B,RtA[0],RtA[1],RtA[2])}for(h=0;h<n;++h){for(var m=0;m<2;m++)erA(l,I+8*h+2*m,I+8*(h+1)+2*m+1,I+8*h+2*m+1),erA(l,I+8*h+2*m,I+8*(h+1)+2*m,I+8*(h+1)+2*m+1);for(m=2;m<4;m++)erA(l,I+8*h+2*m,I+8*(h+1)+2*m,I+8*h+2*m+1),erA(l,I+8*(h+1)+2*m,I+8*(h+1)+2*m+1,I+8*h+2*m+1)}if(s){E=i[0],f=o[0];var y=0===a?f:a;rrA(0,A,e,t,r,E,y,y,!1)}else a>0&&(rrA(0,A,e,t,r,E=i[0],a,-(f=o[0]),!1),rrA(0,A,e,t,r,E,-a,f,!1));u&&0===a&&rrA(3*n,A,e,t,r,E=i[n],f=o[n],f,!0),h=0;for(var v=8*(n+1)+(s?4:a>0?8:0)+(u&&0===a?4:0);h<v;++h)trA(Q,g)}var irA=gA(),orA=gA(),arA=gA(),srA=gA(),urA=gA();function grA(A,e,t,r,n){A[0]=e[0]*r+t[0]*n,A[1]=e[1]*r+t[1]*n,A[2]=e[2]*r+t[2]*n}function crA(A,e,t,r,n,i){A[0]=e[0]*n+t[0]*i+r[0],A[1]=e[1]*n+t[1]*i+r[1],A[2]=e[2]*n+t[2]*i+r[2]}var BrA=gA.fromArray,lrA=gA.normalize,QrA=gA.scaleAndAdd,IrA=gA.cross,drA=gA.dot,hrA=gA.unitX,ErA=HA.add3,frA=new Map;function CrA(A,e,t,r,n,i,o,a,s,u,g){for(var c=A.currentGroup,B=A.vertices,l=A.normals,Q=A.indices,I=A.groups,d=B.elementCount,h=function(A,e){var t=e?1:0,r=ie(A,t);if(!frA.has(r)){for(var n=[],i=[],o=0;o<A;++o){var a=(2*o+t)/A*Math.PI;n[o]=Math.cos(a),i[o]=Math.sin(a)}frA.set(r,{cos:n,sin:i})}return frA.get(r)}(i,"rounded"===g),E=h.cos,f=h.sin,C=Math.round(i/4),p=3*C,m=0;m<=n;++m){var y=3*m;BrA(srA,t,y),BrA(urA,r,y),BrA(arA,e,y);for(var v=o[m],D=a[m],b="rounded"===g&&D>v,w=0;w<i;++w){if(b){crA(orA,srA,urA,arA,v*E[w],v*f[w]);var F=drA(urA,hrA)<0?w<C||w>=p?D-v:-D+v:w>=C&&w<p?-D+v:D-v;QrA(orA,orA,srA,F),w===C||w===C-1?grA(irA,srA,urA,0,1):w===p||w===p-1?grA(irA,srA,urA,0,-1):grA(irA,srA,urA,E[w],f[w])}else crA(orA,srA,urA,arA,D*E[w],v*f[w]),grA(irA,srA,urA,v*E[w],D*f[w]);lrA(irA,irA),ErA(B,orA[0],orA[1],orA[2]),ErA(l,irA[0],irA[1],irA[2])}}var U=Math.round(i/2);for(m=0;m<n;++m){for(w=0;w<U;++w)ErA(Q,d+m*i+(w+1)%i,d+(m+1)*i+(w+1)%i,d+m*i+w),ErA(Q,d+(m+1)*i+(w+1)%i,d+(m+1)*i+w,d+m*i+w);for(w=U;w<i;++w)ErA(Q,d+m*i+(w+1)%i,d+(m+1)*i+w,d+m*i+w),ErA(Q,d+(m+1)*i+(w+1)%i,d+(m+1)*i+w,d+m*i+(w+1)%i)}if(s){var S=0,N=B.elementCount;for(BrA(srA,t,S),BrA(urA,r,S),BrA(arA,e,S),IrA(irA,urA,srA),ErA(B,arA[0],arA[1],arA[2]),ErA(l,irA[0],irA[1],irA[2]),v=o[0],D=a[0],(b="rounded"===g&&D>v)&&(D-=v),d=B.elementCount,m=0;m<i;++m)b?(crA(orA,srA,urA,arA,v*E[m],v*f[m]),QrA(orA,orA,srA,m<C||m>=p?D:-D)):crA(orA,srA,urA,arA,D*E[m],v*f[m]),ErA(B,orA[0],orA[1],orA[2]),ErA(l,irA[0],irA[1],irA[2]),ErA(Q,d+(m+1)%i,d+m,N)}if(u)for(S=3*n,N=B.elementCount,BrA(srA,t,S),BrA(urA,r,S),BrA(arA,e,S),IrA(irA,srA,urA),ErA(B,arA[0],arA[1],arA[2]),ErA(l,irA[0],irA[1],irA[2]),v=o[n],D=a[n],(b="rounded"===g&&D>v)&&(D-=v),d=B.elementCount,m=0;m<i;++m)b?(crA(orA,srA,urA,arA,v*E[m],v*f[m]),QrA(orA,orA,srA,m<C||m>=p?D:-D)):crA(orA,srA,urA,arA,D*E[m],v*f[m]),ErA(B,orA[0],orA[1],orA[2]),ErA(l,irA[0],irA[1],irA[2]),ErA(Q,d+m,d+(m+1)%i,N);var R=(n+1)*i+(s?i+1:0)+(u?i+1:0);HA.addRepeat(I,R,c)}var prA=gA.fromArray,mrA=gA.magnitude,yrA=gA.sub,vrA=gA.add,DrA=gA.scale,brA=gA.negate,wrA=gA.copy,FrA=gA.cross,UrA=HA.add3,SrA=HA.add,NrA=gA(),RrA=gA(),HrA=gA(),GrA=gA(),MrA=gA(),LrA=gA(),xrA=gA(),krA=gA(),YrA=gA();function _rA(A,e,t,r,n,i,o,a){var s=A.currentGroup,u=A.vertices,g=A.normals,c=A.indices,B=A.groups,l=u.elementCount,Q=0;a>0&&(prA(NrA,e,0),prA(RrA,e,3*n),Q=a/mrA(yrA(HrA,RrA,NrA)));for(var I=0;I<=n;++I){var d=i[I],h=o[I],E=0===a?h:a*(1-I/n),f=3*I;prA(MrA,t,f),DrA(MrA,MrA,E),prA(GrA,r,f),DrA(GrA,GrA,d),a>0&&(prA(NrA,t,f),prA(RrA,r,f),DrA(LrA,FrA(LrA,NrA,RrA),Q)),prA(xrA,e,f),prA(krA,t,f),prA(YrA,r,f),vrA(NrA,xrA,MrA),brA(RrA,YrA),UrA(u,NrA[0],NrA[1],NrA[2]),UrA(g,RrA[0],RrA[1],RrA[2]),yrA(NrA,xrA,MrA),UrA(u,NrA[0],NrA[1],NrA[2]),UrA(g,RrA[0],RrA[1],RrA[2]),vrA(NrA,xrA,MrA),wrA(RrA,YrA),UrA(u,NrA[0],NrA[1],NrA[2]),UrA(g,RrA[0],RrA[1],RrA[2]),yrA(NrA,xrA,MrA),UrA(u,NrA[0],NrA[1],NrA[2]),UrA(g,RrA[0],RrA[1],RrA[2])}for(I=0;I<n;++I)UrA(c,l+4*I,l+4*(I+1)+1,l+4*I+1),UrA(c,l+4*I,l+4*(I+1),l+4*(I+1)+1),UrA(c,l+4*I+2+1,l+4*(I+1)+2+1,l+4*I+2),UrA(c,l+4*I+2,l+4*(I+1)+2+1,l+4*(I+1)+2);I=0;for(var C=4*(n+1);I<C;++I)SrA(B,s)}var VrA={sizeFactor:ir.Numeric(.2,{min:0,max:10,step:.01}),aspectRatio:ir.Numeric(5,{min:.1,max:10,step:.1}),arrowFactor:ir.Numeric(1.5,{min:0,max:3,step:.1},{description:"Size factor for sheet arrows"}),tubularHelices:ir.Boolean(!1,{description:"Draw alpha helices as tubes"}),helixProfile:ir.Select("elliptical",ir.arrayToOptions(["elliptical","rounded","square"]),{description:"Protein and nucleic helix trace profile"}),detail:ir.Numeric(0,{min:0,max:3,step:1},Ki.CustomQualityParamInfo),linearSegments:ir.Numeric(8,{min:1,max:48,step:1},Ki.CustomQualityParamInfo),radialSegments:ir.Numeric(16,{min:2,max:56,step:2},Ki.CustomQualityParamInfo)},TrA=(ir.getDefaultValues(VrA),gA());function PrA(A,e,t,r,n,i){var o=e.polymerElements.length;if(!o)return Yv.createEmpty(i);for(var a=n.sizeFactor,s=n.detail,u=n.linearSegments,g=n.radialSegments,c=n.aspectRatio,B=n.arrowFactor,l=n.tubularHelices,Q=n.helixProfile,I=u*g*o+(g+1)*o*2,d=kD.createState(I,I/10,i),h=TB.isCoarse(e),E=ZAA(u),f=E.curvePoints,C=E.normalVectors,p=E.binormalVectors,m=E.widthValues,y=E.heightValues,v=0,D=SAA(e,t,{ignoreSecondaryStructure:!1,useHelixOrientation:l});D.hasNext;){var b=D.move();d.currentGroup=v;var w=ns(b.moleculeType),F=Ca.is(b.secStrucType,4),U=Ca.is(b.secStrucType,2),S=w?deA:IeA;WAA(E,b,U&&!l?.9:.5,S);var N=r.size.size(b.centerPrev)*a,R=r.size.size(b.center)*a,H=r.size.size(b.centerNext)*a;h&&(N*=c/2,R*=c/2,H*=c/2);var G=b.secStrucFirst||b.coarseBackboneFirst||b.first,M=b.secStrucLast||b.coarseBackboneLast||b.last,L=u;if(b.initial){var x=u-(L=Math.max(Math.round(u*S),1));f.copyWithin(0,3*x),p.copyWithin(0,3*x),C.copyWithin(0,3*x),gA.fromArray(TrA,f,3),gA.normalize(TrA,gA.sub(TrA,b.p2,TrA)),gA.scaleAndAdd(TrA,b.p2,TrA,2*R),gA.toArray(TrA,f,0)}else b.final&&(L=Math.max(Math.round(u*(1-S)),1),gA.fromArray(TrA,f,3*L-3),gA.normalize(TrA,gA.sub(TrA,b.p2,TrA)),gA.scaleAndAdd(TrA,b.p2,TrA,2*R),gA.toArray(TrA,f,3*L));if(!0===b.initial&&!0===b.final)oD(d,b.p2,2*R,s);else if(F){var k=N*c,Y=R*c,_=H*c,V=b.secStrucLast?Y*B:0;ceA(E,N,R,H,k,Y,_,S),2===g?_rA(d,f,C,p,L,m,y,V):nrA(d,f,C,p,L,m,y,V,G,M)}else{k=void 0,Y=void 0,_=void 0,U&&!b.isCoarseBackbone?l?(k=N*=1.5*c,Y=R*=1.5*c,_=H*=1.5*c):(k=N*c,Y=R*c,_=H*c):w&&!b.isCoarseBackbone?(k=N*c,Y=R*c,_=H*c):(k=N,Y=R,_=H),ceA(E,N,R,H,k,Y,_,S);var T=w&&!b.isCoarseBackbone?[p,C]:[C,p],P=T[0],J=T[1];if(w&&!b.isCoarseBackbone)for(var O=0,K=P.length;O<K;O++)P[O]*=-1;2===g?w&&!b.isCoarseBackbone?_rA(d,f,P,J,L,y,m,0):_rA(d,f,P,J,L,m,y,0):4===g?nrA(d,f,P,J,L,m,y,0,G,M):Y===R?CrA(d,f,P,J,L,g,m,y,G,M,"elliptical"):"square"===Q?nrA(d,f,P,J,L,m,y,0,G,M):CrA(d,f,P,J,L,g,m,y,G,M,Q)}++v}var j=kD.getMesh(d),z=Ss.expand(Ss(),e.boundary.sphere,1*n.sizeFactor);return j.setBoundingSphere(z),j}var JrA=w(w({},hx),VrA);function OrA(A){return Ex({defaultProps:ir.getDefaultValues(JrA),createGeometry:PrA,createLocationIterator:BeA.fromGroup,getLoci:feA,eachLocation:yeA,setUpdateState:function(A,e,t,r,n,i,o){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.tubularHelices!==t.tubularHelices||e.detail!==t.detail||e.linearSegments!==t.linearSegments||e.radialSegments!==t.radialSegments||e.aspectRatio!==t.aspectRatio||e.arrowFactor!==t.arrowFactor||e.helixProfile!==t.helixProfile;var a=Jl.get(i.structure).version;A.info.secondaryStructureHash!==a&&(A.createGeometry=!0,A.info.secondaryStructureHash=a)}},A)}var KrA={"polymer-trace":function(A,e){return Ix("Polymer trace mesh",A,e,OrA)},"polymer-gap":function(A,e){return Ix("Polymer gap cylinder",A,e,StA)},"nucleotide-block":function(A,e){return Ix("Nucleotide block mesh",A,e,OeA)},"nucleotide-ring":function(A,e){return Ix("Nucleotide ring mesh",A,e,dtA)},"direction-wedge":function(A,e){return Ix("Polymer direction 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A.polymerResidueCount>0},ensureCustomProperties:{attach:function(A,e){return F(void 0,void 0,void 0,(function(){var t,r,n;return U(this,(function(i){switch(i.label){case 0:return[4,Jl.attach(A,e,void 0,!0)];case 1:i.sent(),t=0,r=e.models,i.label=2;case 2:return t<r.length?(n=r[t],[4,FAA.attach(A,n,void 0,!0)]):[3,5];case 3:i.sent(),i.label=4;case 4:return t++,[3,2];case 5:return[2]}}))}))},detach:function(A){Jl.ref(A,!1);for(var e=0,t=A.models;e<t.length;e++){var r=t[e];FAA.ref(r,!1)}}}},qrA=w(w({},hx),{sizeFactor:ir.Numeric(1,{min:0,max:10,step:.1}),detail:ir.Numeric(0,{min:0,max:3,step:1},Ki.CustomQualityParamInfo),ignoreHydrogens:ir.Boolean(!1)});function ZrA(A){return Ex({defaultProps:ir.getDefaultValues(qrA),createGeometry:WrA,createLocationIterator:B7.fromGroup,getLoci:E7,eachLocation:h7,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.detail!==t.detail||e.ignoreHydrogens!==t.ignoreHydrogens}},A)}function WrA(A,e,t,r,n,i){var o=t.child,a=null==o?void 0:o.unitMap.get(e.id);if(o&&!a)return Yv.createEmpty(i);var s=n.detail,u=n.sizeFactor,g=n.ignoreHydrogens,c=e.elements,B=e.model,l=e.model.atomicHierarchy.derived.atom.atomicNumber,Q=c.length,I=Q*eD(s),d=kD.createState(I,I/2,i),h=uc.Provider.get(B);if(!h)return Yv.createEmpty(i);var E=gA(),f=cA(),C=gA(),p=gA(),m=gA(),y=h.elementToAnsiotrop,v=h.data,D=v.U,b=v._schema.U.space,w=e.conformation.invariantPosition,F=hc.create(t);F.unit=e;for(var U=0;U<Q;U++){var S=c[U],N=y[S];if(-1!==N&&!(a&&!kn.has(a.elements,S)||g&&jL(l,S))){F.element=S,w(S,E),d.currentGroup=U,X.toMat3(f,b,D.value(N)),cA.symmtricFromLower(f,f),cA.symmetricEigenvalues(C,f),cA.eigenvector(p,f,C[1]),cA.eigenvector(m,f,C[2]);for(var R=0;R<3;++R)C[R]=1.5958*u*Math.sqrt(Math.abs(C[R]));W(C[0],C[1],Z)&&W(C[1],C[2],Z)?oD(d,E,C[0],s):WH(d,E,m,p,C,s)}}var H=kD.getMesh(d),G=Ss.expand(Ss(),(a||e).boundary.sphere,1*u);return H.setBoundingSphere(G),H}var XrA={"ellipsoid-mesh":function(A,e){return Ix("Ellipsoid 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A.elementCount>0&&A.models.some((function(A){return uc.Provider.isApplicable(A)}))},getData:function(A,e){return e.includeParent?A.asParent():A},mustRecreate:function(A,e){return A.includeParent!==e.includeParent}},enA={drawCount:nv("number"),instanceCount:nv("number"),aRadius:$y("float32",1,0),aPosition:$y("float32",3,0),aGroup:$y("float32",1,0),uCurrentSlice:Av("f"),uCurrentX:Av("f"),uCurrentY:Av("f"),uBboxMin:Av("v3","material"),uBboxSize:Av("v3","material"),uGridDim:Av("v3","material"),uGridTexDim:Av("v3","material"),uGridTexScale:Av("v2","material"),uAlpha:Av("f","material"),uResolution:Av("f","material"),uRadiusFactorInv:Av("f","material"),tMinDistanceTex:ev("texture","rgba","float","nearest"),dGridTexType:rv("string",["2d","3d"]),dCalcType:rv("string",["density","minDistance","groupId"])},tnA="gaussian-density";function rnA(A){return A.namedFramebuffers["gaussian-density"]||(A.namedFramebuffers["gaussian-density"]=A.resources.framebuffer()),A.namedFramebuffers["gaussian-density"]}function nnA(A,e,t,r,n,i){var o="".concat(tnA,"-").concat(A);return e.namedTextures[o]||(e.namedTextures[o]=e.resources.texture(t,r,n,i)),e.namedTextures[o]}function inA(A,e,t,r,n,i){return A.isWebGL2?function(A,e,t,r,n,i){return anA(function(A,e,t,r,n,i){var o=A.gl,a=A.resources,s=A.state,u=A.extensions,g=u.colorBufferFloat,c=u.textureFloat,B=u.colorBufferHalfFloat,l=u.textureHalfFloat,Q=n.smoothness,I=n.resolution,d=unA(e,t,r,n),h=d.drawCount,E=d.positions,f=d.radii,C=d.groups,p=d.scale,m=d.expandedBox,y=d.dim,v=d.maxRadius,D=y[0],b=y[1],w=y[2],F=nnA("min-dist-3d",A,"volume-uint8","rgba","ubyte","nearest");F.define(D,b,w);var U=BA.create(1,1),S=2*v,N=gnA(A,h,E,f,C,F,m,y,y,U,Q,I,S),R=N.values.uCurrentSlice,H=rnA(A);function G(A,e){s.currentRenderItemId=-1;for(var t=0;t<w;++t)Y.update(R,t),A.attachFramebuffer(H,0,t),e&&o.clear(o.COLOR_BUFFER_BIT),N.render();o.flush()}return H.bind(),cnA(A),o.viewport(0,0,D,b),o.scissor(0,0,D,b),i||(i=B&&l?a.texture("volume-float16","rgba","fp16","linear"):g&&c?a.texture("volume-float32","rgba","float","linear"):a.texture("volume-uint8","rgba","ubyte","linear")),i.define(D,b,w),lnA(A,N),G(i,!0),BnA(A,N),G(F,!0),QnA(A,N),G(i,!1),{texture:i,scale:p,bbox:m,gridDim:y,gridTexDim:y,gridTexScale:U,radiusFactor:S,resolution:I}}(A,e,t,r,n,i))}(A,e,t,r,n,i):onA(A,e,t,r,!1,n,i)}function onA(A,e,t,r,n,i,o){return anA(function(A,e,t,r,n,i,o){var a=A.gl,s=A.resources,u=A.state,g=A.extensions,c=g.colorBufferFloat,B=g.textureFloat,l=g.colorBufferHalfFloat,Q=g.textureHalfFloat,I=g.blendMinMax,d=i.smoothness,h=i.resolution,E=unA(e,t,r,i),f=E.drawCount,C=E.positions,p=E.radii,m=E.groups,y=E.scale,v=E.expandedBox,D=E.dim,b=E.maxRadius,w=D[0],F=D[1],U=D[2],S=function(A){var e=A[0]*A[1]*A[2],t=Math.sqrt(e),r=Math.pow(2,Math.ceil(Math.log(t)/Math.log(2))),n=0,i=A[1],o=1,a=A[2];return r<A[0]*A[2]?(a=Math.floor(r/A[0]),o=Math.ceil(A[2]/a),n=a*A[0],i*=o):n=A[0]*A[2],{texDimX:n,texDimY:i,texRows:o,texCols:a,powerOfTwoSize:i<r?r:2*r}}(D),N=S.texDimX,R=S.texDimY,H=S.texCols,G=S.powerOfTwoSize,M=gA.create(N,R,0),L=BA.create(N/G,R/G),x=2*b,k=n?G:N,_=n?G:R,V=nnA("min-dist-2d",A,"image-uint8","rgba","ubyte","nearest");V.define(k,_);var T=gnA(A,f,C,p,m,V,v,D,M,L,d,h,x),P=T.values,J=P.uCurrentSlice,O=P.uCurrentX,K=P.uCurrentY,j=rnA(A);function z(A,e){u.currentRenderItemId=-1,A.attachFramebuffer(j,0),e&&(a.viewport(0,0,k,_),a.scissor(0,0,k,_),a.clear(a.COLOR_BUFFER_BIT)),Y.update(K,0);for(var t=0,r=0,n=0,i=0;i<U;++i)t>=H&&(t-=H,r+=F,n=0,Y.update(K,r)),Y.update(O,n),Y.update(J,i),a.viewport(n,r,w,F),a.scissor(n,r,w,F),T.render(),++t,n+=w;a.flush()}return j.bind(),cnA(A),o||(o=l&&Q?s.texture("image-float16","rgba","fp16","linear"):c&&B?s.texture("image-float32","rgba","float","linear"):s.texture("image-uint8","rgba","ubyte","linear")),o.define(k,_),lnA(A,T),z(o,!0),I&&(BnA(A,T),z(V,!0),QnA(A,T),z(o,!1)),{texture:o,scale:y,bbox:v,gridDim:D,gridTexDim:M,gridTexScale:L,radiusFactor:x,resolution:h}}(A,e,t,r,n,i,o))}function anA(A){var e=A.texture,t=A.scale,r=A.bbox,n=A.gridDim,i=A.gridTexDim,o=A.gridTexScale,a=A.radiusFactor,s=A.resolution;return{transform:snA(t,r),texture:e,bbox:r,gridDim:n,gridTexDim:i,gridTexScale:o,radiusFactor:a,resolution:s}}function snA(A,e){var t=nA.identity();return nA.fromScaling(t,A),nA.setTranslation(t,e.min),t}function unA(A,e,t,r){for(var n=r.resolution,i=r.radiusOffset,o=1/n,a=A.indices,s=A.x,u=A.y,g=A.z,c=A.id,B=Tn.size(a),l=new Float32Array(3*B),Q=new Float32Array(B),I=new Float32Array(B),d=0,h=0;h<B;++h){var E=Tn.getAt(a,h);l[3*h]=s[E],l[3*h+1]=u[E],l[3*h+2]=g[E];var f=t(E)+i;d<f&&(d=f),Q[h]=f,I[h]=c?c[h]:h}var C=2*d+4*n,p=Ns.expand(Ns(),e,gA.create(C,C,C)),m=Ns.scale(Ns(),p,o),y=Ns.size(gA(),m);return gA.ceil(y,y),{drawCount:B,positions:l,radii:Q,groups:I,scale:gA.create(n,n,n),expandedBox:p,dim:y,maxRadius:d}}function gnA(A,e,t,r,n,i,o,a,s,u,g,c,B){if(A.namedComputeRenderables["gaussian-density"]){var l=gA.sub(gA(),o.max,o.min),Q=A.namedComputeRenderables["gaussian-density"].values;Y.updateIfChanged(Q.drawCount,e),Y.updateIfChanged(Q.instanceCount,1),Y.update(Q.aRadius,r),Y.update(Q.aPosition,t),Y.update(Q.aGroup,n),Y.updateIfChanged(Q.uCurrentSlice,0),Y.updateIfChanged(Q.uCurrentX,0),Y.updateIfChanged(Q.uCurrentY,0),Y.update(Q.uBboxMin,o.min),Y.update(Q.uBboxSize,l),Y.update(Q.uGridDim,a),Y.update(Q.uGridTexDim,s),Y.update(Q.uGridTexScale,u),Y.updateIfChanged(Q.uAlpha,g),Y.updateIfChanged(Q.uResolution,c),Y.updateIfChanged(Q.uRadiusFactorInv,1/B),Y.update(Q.tMinDistanceTex,i),Y.updateIfChanged(Q.dGridTexType,i.getDepth()>0?"3d":"2d"),Y.updateIfChanged(Q.dCalcType,"density"),A.namedComputeRenderables["gaussian-density"].update()}else A.namedComputeRenderables["gaussian-density"]=function(A,e,t,r,n,i,o,a,s,u,g,c,B){var l=gA.sub(gA(),o.max,o.min),Q={drawCount:Y.create(e),instanceCount:Y.create(1),aRadius:Y.create(r),aPosition:Y.create(t),aGroup:Y.create(n),uCurrentSlice:Y.create(0),uCurrentX:Y.create(0),uCurrentY:Y.create(0),uBboxMin:Y.create(o.min),uBboxSize:Y.create(l),uGridDim:Y.create(a),uGridTexDim:Y.create(s),uGridTexScale:Y.create(u),uAlpha:Y.create(g),uResolution:Y.create(c),uRadiusFactorInv:Y.create(1/B),tMinDistanceTex:Y.create(i),dGridTexType:Y.create(i.getDepth()>0?"3d":"2d"),dCalcType:Y.create("density")},I=w({},enA);return bv(mv(A,"points",_p(tnA,"\nprecision highp float;\n\nattribute vec3 aPosition;\nattribute float aRadius;\n\nvarying vec3 vPosition;\nvarying float vRadiusSqInv;\n\n#if defined(dCalcType_groupId)\n    attribute float aGroup;\n    varying float vGroup;\n#endif\n\nuniform vec3 uBboxSize;\nuniform vec3 uBboxMin;\nuniform float uResolution;\n\nvoid main() {\n    vRadiusSqInv = 1.0 / (aRadius * aRadius);\n    #if defined(dCalcType_groupId)\n        vGroup = aGroup;\n    #endif\n    gl_PointSize = ceil(((aRadius * 3.0) / uResolution) + uResolution);\n    vPosition = (aPosition - uBboxMin) / uResolution;\n    gl_Position = vec4(((aPosition - uBboxMin) / uBboxSize) * 2.0 - 1.0, 1.0);\n}\n","\nprecision highp float;\n\nvarying vec3 vPosition;\nvarying float vRadiusSqInv;\n#if defined(dCalcType_groupId)\n    #if defined(dGridTexType_2d)\n        precision highp sampler2D;\n        uniform sampler2D tMinDistanceTex;\n        uniform vec3 uGridTexDim;\n    #elif defined(dGridTexType_3d)\n        precision highp sampler3D;\n        uniform sampler3D tMinDistanceTex;\n    #endif\n    varying float vGroup;\n#endif\n\n#include common\n\nuniform vec3 uGridDim;\nuniform vec2 uGridTexScale;\nuniform float uCurrentSlice;\nuniform float uCurrentX;\nuniform float uCurrentY;\nuniform float uAlpha;\nuniform float uResolution;\nuniform float uRadiusFactorInv;\n\nvoid main() {\n    vec2 v = gl_FragCoord.xy - vec2(uCurrentX, uCurrentY) - 0.5;\n    vec3 fragPos = vec3(v.x, v.y, uCurrentSlice);\n    float dist = distance(fragPos, vPosition) * uResolution;\n\n    #if defined(dCalcType_density)\n        float density = exp(-uAlpha * ((dist * dist) * vRadiusSqInv));\n        gl_FragColor.a = density * uRadiusFactorInv;\n    #elif defined(dCalcType_minDistance)\n        gl_FragColor.a = 1.0 - dist * uRadiusFactorInv;\n    #elif defined(dCalcType_groupId)\n        #if defined(dGridTexType_2d)\n            float minDistance = 1.0 - texture2D(tMinDistanceTex, (gl_FragCoord.xy) / (uGridTexDim.xy / uGridTexScale)).a;\n        #elif defined(dGridTexType_3d)\n            float minDistance = 1.0 - texelFetch(tMinDistanceTex, ivec3(gl_FragCoord.xy, uCurrentSlice), 0).a;\n        #endif\n        if (dist * uRadiusFactorInv > minDistance + uResolution * 0.05)\n            discard;\n        gl_FragColor.rgb = encodeFloatRGB(vGroup);\n    #endif\n}\n"),I,Q),Q)}(A,e,t,r,n,i,o,a,s,u,g,c,B);return A.namedComputeRenderables["gaussian-density"]}function cnA(A){var e=A.gl,t=A.state;t.disable(e.CULL_FACE),t.enable(e.BLEND),t.disable(e.DEPTH_TEST),t.enable(e.SCISSOR_TEST),t.depthMask(!1),t.clearColor(0,0,0,0)}function BnA(A,e){var t=A.gl,r=A.state;if(Y.update(e.values.dCalcType,"minDistance"),e.update(),r.colorMask(!1,!1,!1,!0),r.blendFunc(t.ONE,t.ONE),!A.extensions.blendMinMax)throw new Error("GPU gaussian surface calculation requires EXT_blend_minmax");r.blendEquation(A.extensions.blendMinMax.MAX)}function lnA(A,e){var t=A.gl,r=A.state;Y.update(e.values.dCalcType,"density"),e.update(),r.colorMask(!1,!1,!1,!0),r.blendFunc(t.ONE,t.ONE),r.blendEquation(t.FUNC_ADD)}function QnA(A,e){var t=A.gl,r=A.state;Y.update(e.values.dCalcType,"groupId"),e.update(),r.colorMask(!0,!0,!0,!1),r.blendFunc(t.ONE,t.ZERO),r.blendEquation(t.FUNC_ADD)}function InA(A,e,t,r,n){return F(this,void 0,void 0,(function(){function i(){return F(this,void 0,void 0,(function(){var e;return U(this,(function(t){switch(t.label){case 0:e=0,t.label=1;case 1:return e<I?(function(A,e){for(var t=A;t<e;++t)for(var r=Tn.getAt(g,t),n=c[r],i=B[r],o=l[r],a=d[t],s=1/(a*a),I=2*a,h=I*I,E=Math.ceil(I*u),f=Math.floor(u*(n-m[0])),C=Math.floor(u*(i-m[1])),p=Math.floor(u*(o-m[2])),y=Math.max(0,f-E),v=Math.max(0,C-E),D=Math.max(0,p-E),w=Math.min(R,f+E+2),F=Math.min(H,C+E+2),U=Math.min(G,p+E+2),N=y;N<w;++N)for(var T=x[N]-n,P=N*L,J=v;J<F;++J)for(var O=k[J]-i,K=T*T+O*O,j=J*M+P,z=D;z<U;++z){var q=Y[z]-o,Z=K+q*q;if(Z<=h){var W=op(Z*s*-V),X=z+j;b[X]+=W,W>_[X]&&(_[X]=W,S[X]=Q?Q[t]:t)}}}(e,Math.min(e+T,I)),A.shouldUpdate?[4,A.update({message:"filling density grid",current:e,max:I})]:[3,3]):[3,4];case 2:t.sent(),t.label=3;case 3:return e+=T,[3,1];case 4:return[2]}}))}))}var o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w,S,N,R,H,G,M,L,x,k,Y,_,V,T,P;return U(this,(function(A){switch(A.label){case 0:for(o=n.resolution,a=n.radiusOffset,s=n.smoothness,u=1/o,g=e.indices,c=e.x,B=e.y,l=e.z,Q=e.id,I=Tn.size(g),d=new Float32Array(I),h=0,E=0;E<I;++E)f=r(Tn.getAt(g,E))+a,h<f&&(h=f),d[E]=f;return C=2*h+o,p=Ns.expand(Ns(),t,gA.create(C,C,C)),m=p.min,y=Ns.scale(Ns(),p,u),v=Ns.size(gA(),y),gA.ceil(v,v),D=X.Space(v,[0,1,2],Float32Array),b=D.create(),w=X.create(D,b),(S=D.create()).fill(-1),N=X.create(D,S),R=v[0],H=v[1],G=v[2],L=(M=G)*H,x=ls(v[0],m[0],o),k=ls(v[1],m[1],o),Y=ls(v[2],m[2],o),_=D.create(),V=s,T=Math.ceil(1e5/(Math.pow(Math.pow(h,3),3)*u)),[4,i()];case 1:return A.sent(),P=nA.identity(),nA.fromScaling(P,gA.create(o,o,o)),nA.setTranslation(P,p.min),[2,{field:w,idField:N,transform:P,radiusFactor:1,resolution:o}]}}))}))}var dnA=w({resolution:ir.Numeric(1,{min:.1,max:20,step:.1},w({description:"Grid resolution/cell spacing."},Ki.CustomQualityParamInfo)),radiusOffset:ir.Numeric(0,{min:0,max:10,step:.1},{description:"Extra/offset radius added to the atoms/coarse elements for gaussian calculation. Useful to create coarse, low resolution surfaces."}),smoothness:ir.Numeric(1.5,{min:.5,max:2.5,step:.1},{description:"Smoothness of the gausian surface, lower is smoother."})},_L);function hnA(A,e){var t=A.maxTextureSize/3;return t*t/Math.max(1,e?e.units.length/16:1)}function EnA(A,e,t){var r=this,n=e.lookup3d.boundary.box,i=YL(n,t),o=PL(A,e,i),a=o.position,s=o.radius;return Pe.create("Gaussian Density",(function(A){return F(r,void 0,void 0,(function(){return U(this,(function(e){switch(e.label){case 0:return[4,InA(A,a,n,s,i)];case 1:return[2,e.sent()]}}))}))}))}function fnA(A,e,t,r,n){var i=this,o=e.lookup3d.boundary.box,a=YL(o,t,hnA(r,A)),s=PL(A,e,a),u=s.position,g=s.radius;return Pe.create("Gaussian Density",(function(A){return F(i,void 0,void 0,(function(){return U(this,(function(A){return[2,inA(r,u,o,g,a,n)]}))}))}))}function CnA(A,e,t,r,n,i){var o=this,a=e.lookup3d.boundary.box,s=YL(a,r,hnA(n,A)),u=PL(A,e,s),g=u.position,c=u.radius;return Pe.create("Gaussian Density",(function(A){return F(o,void 0,void 0,(function(){return U(this,(function(A){return[2,onA(n,g,a,c,t,s,i)]}))}))}))}function pnA(A,e){var t=this,r=A.lookup3d.boundary.box,n=YL(r,e),i=JL(A,e.ignoreHydrogens,e.traceOnly),o=i.position,a=i.radius;return Pe.create("Gaussian Density",(function(A){return F(t,void 0,void 0,(function(){return U(this,(function(e){switch(e.label){case 0:return[4,InA(A,o,r,a,n)];case 1:return[2,e.sent()]}}))}))}))}function mnA(A,e,t,r){var n=this,i=A.lookup3d.boundary.box,o=YL(i,e,hnA(t)),a=JL(A,e.ignoreHydrogens,e.traceOnly),s=a.position,u=a.radius;return Pe.create("Gaussian Density",(function(A){return F(n,void 0,void 0,(function(){return U(this,(function(A){return[2,inA(t,s,i,u,o,r)]}))}))}))}function ynA(A,e,t,r,n){var i=this,o=A.lookup3d.boundary.box,a=YL(o,t,hnA(r)),s=JL(A,t.ignoreHydrogens,t.traceOnly),u=s.position,g=s.radius;return Pe.create("Gaussian Density",(function(A){return F(i,void 0,void 0,(function(){return U(this,(function(A){return[2,onA(r,u,o,g,e,a,n)]}))}))}))}ir.getDefaultValues(dnA);var vnA=w(w(w({},dnA),Wi),{ignoreHydrogens:ir.Boolean(!1),tryUseGpu:ir.Boolean(!0),includeParent:ir.Boolean(!1,{isHidden:!0})}),DnA=w(w(w({},hx),wx),vnA),bnA=w(w(w({},sx),Qx),vnA);function wnA(A){return A.extensions.colorBufferFloat&&A.extensions.textureFloat&&A.extensions.blendMinMax&&A.extensions.drawBuffers}function FnA(A,e,t){if(e.resolution>1)return!1;var r=t.maxTextureSize/3,n=kL(A.boundary.box,e.resolution,r*r);return n.areaCells<n.maxAreaCells}function UnA(A,e,t,r){return t.tryUseGpu&&r&&wnA(r)&&FnA(e,t,r)?function(A){return function(A,e){return dx(w(w({},A),{setUpdateState:function(e,t,r,n,i,o,a){A.setUpdateState(e,t,r,n,i,o,a),bN.areEqual(n.size,i.size)||(e.createGeometry=!0)},geometryUtils:Wy.Utils}),e)}({defaultProps:ir.getDefaultValues(DnA),createGeometry:HnA,createLocationIterator:B7.fromGroup,getLoci:E7,eachLocation:h7,setUpdateState:function(A,e,t){e.resolution!==t.resolution&&(A.createGeometry=!0),e.radiusOffset!==t.radiusOffset&&(A.createGeometry=!0),e.smoothness!==t.smoothness&&(A.createGeometry=!0),e.ignoreHydrogens!==t.ignoreHydrogens&&(A.createGeometry=!0),e.traceOnly!==t.traceOnly&&(A.createGeometry=!0),e.includeParent!==t.includeParent&&(A.createGeometry=!0),e.smoothColors.name!==t.smoothColors.name?A.updateColor=!0:"on"===e.smoothColors.name&&"on"===t.smoothColors.name&&(e.smoothColors.params.resolutionFactor!==t.smoothColors.params.resolutionFactor&&(A.updateColor=!0),e.smoothColors.params.sampleStride!==t.smoothColors.params.sampleStride&&(A.updateColor=!0))},mustRecreate:function(A,e,t){return!e.tryUseGpu||!t||!FnA(A.structure,e,t)},processValues:function(A,e,t,r,n){var i=e.meta,o=i.resolution,a=i.colorTexture,s=$i(t.smoothColors,r.color.preferSmoothing,o);s&&n&&(fR(A,s.resolution,s.stride,n,a),e.meta.colorTexture=A.tColorGrid.ref.value)},dispose:function(A){var e;A.vertexTexture.ref.value.destroy(),A.groupTexture.ref.value.destroy(),A.normalTexture.ref.value.destroy(),A.doubleBuffer.destroy(),null===(e=A.meta.colorTexture)||void 0===e||e.destroy()}},A)}(A):function(A){return Ex({defaultProps:ir.getDefaultValues(DnA),createGeometry:NnA,createLocationIterator:B7.fromGroup,getLoci:E7,eachLocation:h7,setUpdateState:function(A,e,t){e.resolution!==t.resolution&&(A.createGeometry=!0),e.radiusOffset!==t.radiusOffset&&(A.createGeometry=!0),e.smoothness!==t.smoothness&&(A.createGeometry=!0),e.ignoreHydrogens!==t.ignoreHydrogens&&(A.createGeometry=!0),e.traceOnly!==t.traceOnly&&(A.createGeometry=!0),e.includeParent!==t.includeParent&&(A.createGeometry=!0),e.smoothColors.name!==t.smoothColors.name?A.updateColor=!0:"on"===e.smoothColors.name&&"on"===t.smoothColors.name&&(e.smoothColors.params.resolutionFactor!==t.smoothColors.params.resolutionFactor&&(A.updateColor=!0),e.smoothColors.params.sampleStride!==t.smoothColors.params.sampleStride&&(A.updateColor=!0))},mustRecreate:function(A,e,t){return e.tryUseGpu&&!!t&&FnA(A.structure,e,t)},processValues:function(A,e,t,r,n){var i=e.meta,o=i.resolution,a=i.colorTexture,s=$i(t.smoothColors,r.color.preferSmoothing,o);s&&(uR(A,s.resolution,s.stride,n,a),e.meta.colorTexture=A.tColorGrid.ref.value)},dispose:function(A){var e;null===(e=A.meta.colorTexture)||void 0===e||e.destroy()}},A)}(A)}function SnA(A,e,t,r){return t.tryUseGpu&&r&&wnA(r)&&FnA(e,t,r)?function(A){return function(A,e){return ax(w(w({},A),{setUpdateState:function(e,t,r,n,i,o,a){A.setUpdateState(e,t,r,n,i,o,a),bN.areEqual(n.size,i.size)||(e.createGeometry=!0)},geometryUtils:Wy.Utils}),e)}({defaultProps:ir.getDefaultValues(bnA),createGeometry:GnA,createLocationIterator:B7.fromStructure,getLoci:C7,eachLocation:f7,setUpdateState:function(A,e,t){e.resolution!==t.resolution&&(A.createGeometry=!0),e.radiusOffset!==t.radiusOffset&&(A.createGeometry=!0),e.smoothness!==t.smoothness&&(A.createGeometry=!0),e.ignoreHydrogens!==t.ignoreHydrogens&&(A.createGeometry=!0),e.traceOnly!==t.traceOnly&&(A.createGeometry=!0),e.includeParent!==t.includeParent&&(A.createGeometry=!0),e.smoothColors.name!==t.smoothColors.name?A.updateColor=!0:"on"===e.smoothColors.name&&"on"===t.smoothColors.name&&(e.smoothColors.params.resolutionFactor!==t.smoothColors.params.resolutionFactor&&(A.updateColor=!0),e.smoothColors.params.sampleStride!==t.smoothColors.params.sampleStride&&(A.updateColor=!0))},mustRecreate:function(A,e,t){return!e.tryUseGpu||!t||!FnA(A,e,t)},processValues:function(A,e,t,r,n){var i=e.meta,o=i.resolution,a=i.colorTexture,s=$i(t.smoothColors,r.color.preferSmoothing,o);s&&n&&(fR(A,s.resolution,s.stride,n,a),e.meta.colorTexture=A.tColorGrid.ref.value)},dispose:function(A){var e;A.vertexTexture.ref.value.destroy(),A.groupTexture.ref.value.destroy(),A.normalTexture.ref.value.destroy(),A.doubleBuffer.destroy(),null===(e=A.meta.colorTexture)||void 0===e||e.destroy()}},A)}(A):function(A){return ux({defaultProps:ir.getDefaultValues(bnA),createGeometry:RnA,createLocationIterator:B7.fromStructure,getLoci:C7,eachLocation:f7,setUpdateState:function(A,e,t){e.resolution!==t.resolution&&(A.createGeometry=!0),e.radiusOffset!==t.radiusOffset&&(A.createGeometry=!0),e.smoothness!==t.smoothness&&(A.createGeometry=!0),e.ignoreHydrogens!==t.ignoreHydrogens&&(A.createGeometry=!0),e.traceOnly!==t.traceOnly&&(A.createGeometry=!0),e.smoothColors.name!==t.smoothColors.name?A.updateColor=!0:"on"===e.smoothColors.name&&"on"===t.smoothColors.name&&(e.smoothColors.params.resolutionFactor!==t.smoothColors.params.resolutionFactor&&(A.updateColor=!0),e.smoothColors.params.sampleStride!==t.smoothColors.params.sampleStride&&(A.updateColor=!0))},mustRecreate:function(A,e,t){return e.tryUseGpu&&!!t&&FnA(A,e,t)},processValues:function(A,e,t,r,n){var i=e.meta,o=i.resolution,a=i.colorTexture,s=$i(t.smoothColors,r.color.preferSmoothing,o);s&&(uR(A,s.resolution,s.stride,n,a),e.meta.colorTexture=A.tColorGrid.ref.value)},dispose:function(A){var e;null===(e=A.meta.colorTexture)||void 0===e||e.destroy()}},A)}(A)}function NnA(A,e,t,r,n,i){return F(this,void 0,void 0,(function(){var r,o,a,s,u,g,c,B,l;return U(this,(function(Q){switch(Q.label){case 0:return r=n.smoothness,[4,EnA(t,e,n).runInContext(A.runtime)];case 1:return o=Q.sent(),a=o.transform,s=o.field,u=o.idField,g=o.radiusFactor,c=o.resolution,[4,x4({isoLevel:Math.exp(-r)/g,scalarField:s,idField:u},i).runAsChild(A.runtime)];case 2:return(B=Q.sent()).meta.resolution=c,Yv.transform(B,a),A.webgl&&!A.webgl.isWebGL2&&Yv.uniformTriangleGroup(B),l=Ss.expand(Ss(),e.boundary.sphere,n.radiusOffset+qL(e)),B.setBoundingSphere(l),[2,B]}}))}))}function RnA(A,e,t,r,n){return F(this,void 0,void 0,(function(){var t,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:return 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c,B,l,Q,I,d,h,E,f,C,p,m,y,v,D,b,w,S,N,R,H,G,M,L,x,k,Y,_,V,T,P,J,O,K,j,z,q,Z,W,$,AA,eA,tA,rA,iA,oA;return U(this,(function(A){switch(A.label){case 0:return c=-1,B=gA(),l=gA(),Q=gA(),I=gA(),d=i.resolution,h=i.probeRadius,E=i.probePositions,f=1/d,C=Math.max(5,2+Math.floor(h*f)),p=gA.create(r,r,r),gA.scale(p,p,2),m=Rs(e,t,p),y=m.result,null===n&&(n=m.boundary.box),v=e.indices,D=e.x,b=e.y,w=e.z,S=e.id,N=e.radius,R=Tn.size(v),H=r+d,G=Ns.expand(Ns(),n,gA.create(H,H,H)),M=G.min,L=M[0],x=M[1],k=M[2],Y=Ns.scale(Ns(),G,f),_=Ns.size(gA(),Y),gA.ceil(_,_),V=_[0],T=_[1],P=_[2],O=(J=P)*T,K=function(A){for(var e=0,t=2*Math.PI/A,r=new Float32Array(A),n=new Float32Array(A),i=0;i<A;i++)r[i]=Math.cos(e),n[i]=Math.sin(e),e+=t;return{cosTable:r,sinTable:n}}(E),j=K.cosTable,z=K.sinTable,q=X.Space(_,[0,1,2],Float32Array),Z=q.create(),W=q.create(),Z.fill(-1001),W.fill(-1),$=ls(V,L,d),AA=ls(T,x,d),eA=ls(P,k,d),tA=Math.ceil(1e5/(Math.pow(Math.pow(r,3),3)*f)),[4,s()];case 1:return A.sent(),[4,g()];case 2:return A.sent(),rA=X.create(q,Z),iA=X.create(q,W),oA=nA.identity(),nA.fromScaling(oA,gA.create(d,d,d)),nA.setTranslation(oA,G.min),[2,{field:rA,idField:iA,transform:oA,resolution:d}]}}))}))}function WnA(A,e,t){var r=this,n=e.lookup3d.boundary.box,i=YL(n,t),o=function(A,e,t){for(var r=t.probeRadius,n=PL(A,e,t),i=n.position,o=n.boundary,a=n.radius,s=i.indices,u=Tn.size(s),g=new Float32Array(Tn.end(s)),c=0,B=0;B<u;++B){var l=Tn.getAt(s,B),Q=a(l);c<Q&&(c=Q),g[l]=Q+r}return{position:w(w({},i),{radius:g}),boundary:o,maxRadius:c}}(A,e,i),a=o.position,s=o.boundary,u=o.maxRadius;return Pe.create("Molecular Surface",(function(A){return F(r,void 0,void 0,(function(){return U(this,(function(e){switch(e.label){case 0:return[4,XnA(A,a,s,u,n,i)];case 1:return[2,e.sent()]}}))}))}))}function XnA(A,e,t,r,n,i){return F(this,void 0,void 0,(function(){return U(this,(function(o){return[2,ZnA(A,e,t,r,n,i)]}))}))}ir.getDefaultValues(qnA);var $nA=w(w(w(w({},hx),qnA),_L),Wi);function AiA(A,e,t,r,n,i){return F(this,void 0,void 0,(function(){var r,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:return[4,WnA(t,e,n).runInContext(A.runtime)];case 1:return r=l.sent(),o=r.transform,a=r.field,s=r.idField,u=r.resolution,[4,x4({isoLevel:n.probeRadius,scalarField:a,idField:s},i).runAsChild(A.runtime)];case 2:return g=l.sent(),n.includeParent&&(c=Math.ceil(2/n.resolution),Yv.smoothEdges(g,{iterations:c,maxNewEdgeLength:Math.sqrt(2)})),Yv.transform(g,o),A.webgl&&!A.webgl.isWebGL2&&Yv.uniformTriangleGroup(g),B=Ss.expand(Ss(),e.boundary.sphere,n.probeRadius+qL(e)),g.setBoundingSphere(B),g.meta.resolution=u,[2,g]}}))}))}function eiA(A){return Ex({defaultProps:ir.getDefaultValues($nA),createGeometry:AiA,createLocationIterator:B7.fromGroup,getLoci:E7,eachLocation:h7,setUpdateState:function(A,e,t){e.resolution!==t.resolution&&(A.createGeometry=!0),e.probeRadius!==t.probeRadius&&(A.createGeometry=!0),e.probePositions!==t.probePositions&&(A.createGeometry=!0),e.ignoreHydrogens!==t.ignoreHydrogens&&(A.createGeometry=!0),e.traceOnly!==t.traceOnly&&(A.createGeometry=!0),e.includeParent!==t.includeParent&&(A.createGeometry=!0),e.smoothColors.name!==t.smoothColors.name?A.updateColor=!0:"on"===e.smoothColors.name&&"on"===t.smoothColors.name&&(e.smoothColors.params.resolutionFactor!==t.smoothColors.params.resolutionFactor&&(A.updateColor=!0),e.smoothColors.params.sampleStride!==t.smoothColors.params.sampleStride&&(A.updateColor=!0))},processValues:function(A,e,t,r,n){var i=e.meta,o=i.resolution,a=i.colorTexture,s=$i(t.smoothColors,r.color.preferSmoothing,o);s&&(uR(A,s.resolution,s.stride,n,a),e.meta.colorTexture=A.tColorGrid.ref.value)},dispose:function(A){var e;null===(e=A.meta.colorTexture)||void 0===e||e.destroy()}},A)}var tiA=w(w(w(w({},vx),qnA),_L),{sizeFactor:ir.Numeric(1.5,{min:0,max:10,step:.1})});function riA(A,e,t,r,n,i){return F(this,void 0,void 0,(function(){var r,o,a,s,u,g;return U(this,(function(c){switch(c.label){case 0:return[4,WnA(t,e,n).runInContext(A.runtime)];case 1:return r=c.sent(),o=r.transform,a=r.field,s=r.idField,[4,k4({isoLevel:n.probeRadius,scalarField:a,idField:s},i).runAsChild(A.runtime)];case 2:return u=c.sent(),cy.transform(u,o),g=Ss.expand(Ss(),e.boundary.sphere,n.probeRadius+qL(e)),u.setBoundingSphere(g),[2,u]}}))}))}function niA(A){return Dx({defaultProps:ir.getDefaultValues(tiA),createGeometry:riA,createLocationIterator:B7.fromGroup,getLoci:E7,eachLocation:h7,setUpdateState:function(A,e,t){e.resolution!==t.resolution&&(A.createGeometry=!0),e.probeRadius!==t.probeRadius&&(A.createGeometry=!0),e.probePositions!==t.probePositions&&(A.createGeometry=!0),e.ignoreHydrogens!==t.ignoreHydrogens&&(A.createGeometry=!0),e.includeParent!==t.includeParent&&(A.createGeometry=!0)}},A)}var iiA={"molecular-surface-mesh":function(A,e){return Ix("Molecular surface mesh",A,e,eiA)},"molecular-surface-wireframe":function(A,e){return Ix("Molecular surface wireframe",A,e,niA)}},oiA=w(w(w({},$nA),tiA),{visuals:ir.MultiSelect(["molecular-surface-mesh"],ir.objectToOptions(iiA)),bumpFrequency:ir.Numeric(1,{min:0,max:10,step:.1},Ki.ShadingCategory)}),aiA={name:"molecular-surface",label:"Molecular Surface",description:"Displays a molecular surface.",factory:function(A,e){return vR.createMulti("Molecular Surface",A,e,Fx,iiA)},getParams:function(A,e){return ir.clone(oiA)},defaultValues:ir.getDefaultValues(oiA),defaultColorTheme:{name:"chain-id"},defaultSizeTheme:{name:"uniform"},isApplicable:function(A){return A.elementCount>0}},siA=w(w({},hx),{sizeFactor:ir.Numeric(1,{min:0,max:2,step:.1}),detail:ir.Numeric(0,{min:0,max:3,step:1},Ki.CustomQualityParamInfo)});function uiA(A){return Ex({defaultProps:ir.getDefaultValues(siA),createGeometry:giA,createLocationIterator:ciA,getLoci:BiA,eachLocation:liA,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.detail!==t.detail}},A)}function giA(A,e,t,r,n,i){if(!function(A){if(TB.Traits.is(A.traits,1))return!1;if(TB.Traits.is(A.traits,2))return!1;if(TB.isCoarse(A))return!0;if(0===A.elements.length)return!1;A.model.atomicHierarchy.derived.residue.moleculeType;var e=A.residueIndex[A.elements[0]],t=A.model.atomicHierarchy.derived.residue.moleculeType[e];return 3!==t&&2!==t}(e))return Yv.createEmpty(i);var o=n.detail,a=n.sizeFactor,s=kD.createState(256,128,i),u=e.principalAxes.boxAxes,g=u.origin,c=u.dirA,B=u.dirB,l=ks.size(gA(),u);gA.scale(l,l,a/2);var Q=gA.create(l[2],l[1],l[0]);s.currentGroup=0,WH(s,g,c,B,Q,o+1);var I=kD.getMesh(s),d=Ss.expand(Ss(),e.boundary.sphere,1*n.sizeFactor);return I.setBoundingSphere(d),I}function ciA(A){var e=A.group,t=A.structure,r=e.units.length,n=hc.create(t);return ur(1,r,1,(function(A,t){var r=e.units[t];return n.unit=r,n.element=r.elements[A],n}))}function BiA(A,e,t){var r=A.objectId,n=A.instanceId;if(t===r){var i=e.structure,o=e.group.units[n];return dI(i,[{unit:o,indices:Tn.ofBounds(0,o.elements.length)}])}return PN}function liA(A,e,t){var r=!1;if(!dI.is(A))return!1;var n=e.structure,i=e.group;if(!BI.areEquivalent(A.structure,n))return!1;for(var o=i.elements.length,a=0,s=A.elements;a<s.length;a++){var u=s[a],g=i.unitIndexMap.get(u.unit.id);void 0!==g&&Tn.size(u.indices)===o&&t(qr.ofSingleton(g))&&(r=!0)}return r}var QiA,IiA={"orientation-ellipsoid-mesh":function(A,e){return Ix("Orientation ellipsoid mesh",A,e,uiA)}},diA=w(w({},siA),{visuals:ir.MultiSelect(["orientation-ellipsoid-mesh"],ir.objectToOptions(IiA)),bumpFrequency:ir.Numeric(1,{min:0,max:10,step:.1},Ki.ShadingCategory)}),hiA={name:"orientation",label:"Orientation",description:"Displays orientation ellipsoids for polymer chains.",factory:function(A,e){return vR.createMulti("Orientation",A,e,Fx,IiA)},getParams:function(A,e){return ir.clone(diA)},defaultValues:ir.getDefaultValues(diA),defaultColorTheme:{name:"chain-id"},defaultSizeTheme:{name:"uniform"},isApplicable:function(A){return A.elementCount>0}},EiA=HA.add3,fiA=HA.add;!function(A){A.create=function(A,e,t){void 0===A&&(A=2048),void 0===e&&(e=1024);var r=HA.create(Float32Array,3,e,t?t.centerBuffer.ref.value:A),n=HA.create(Float32Array,1,e,t?t.groupBuffer.ref.value:A);return{add:function(A,e,t,i){EiA(r,A,e,t),fiA(n,i)},getPoints:function(){var A=HA.compact(r,!0),e=HA.compact(n,!0);return Ay.create(A,e,r.elementCount,t)}}}}(QiA||(QiA={}));var CiA=w(w({},yx),{pointSizeAttenuation:ir.Boolean(!1),ignoreHydrogens:ir.Boolean(!1),traceOnly:ir.Boolean(!1)});function piA(A,e,t,r,n,i){var o=t.child;if(o&&!o.unitMap.get(e.id))return Ay.createEmpty(i);var a=e.elements,s=a.length,u=QiA.create(s,s/10,i),g=gA(),c=e.conformation.invariantPosition,B=Q7(t,e,n);if(B)for(var l=0;l<s;++l)B(a[l])||(c(a[l],g),u.add(g[0],g[1],g[2],l));else for(l=0;l<s;++l)c(a[l],g),u.add(g[0],g[1],g[2],l);var Q=u.getPoints(),I=Ss.expand(Ss(),e.boundary.sphere,1*n.sizeFactor);return Q.setBoundingSphere(I),Q}function miA(A){return function(A,e){return dx(w(w({},A),{setUpdateState:function(e,t,r,n,i,o,a){A.setUpdateState(e,t,r,n,i,o,a),bN.areEqual(n.size,i.size)||(e.updateSize=!0)},geometryUtils:Ay.Utils}),e)}({defaultProps:ir.getDefaultValues(CiA),createGeometry:piA,createLocationIterator:B7.fromGroup,getLoci:E7,eachLocation:h7,setUpdateState:function(A,e,t){A.createGeometry=e.ignoreHydrogens!==t.ignoreHydrogens||e.traceOnly!==t.traceOnly}},A)}var yiA={"element-point":function(A,e){return Ix("Points",A,e,miA)}},viA=w({},CiA),DiA={name:"point",label:"Point",description:"Displays elements (atoms, coarse spheres) as points.",factory:function(A,e){return vR.createMulti("Point",A,e,Fx,yiA)},getParams:function(A,e){return ir.clone(viA)},defaultValues:ir.getDefaultValues(viA),defaultColorTheme:{name:"element-symbol"},defaultSizeTheme:{name:"uniform"},isApplicable:function(A){return A.elementCount>0}},biA={sizeFactor:ir.Numeric(.2,{min:0,max:10,step:.01}),detail:ir.Numeric(0,{min:0,max:3,step:1},Ki.CustomQualityParamInfo),linearSegments:ir.Numeric(8,{min:1,max:48,step:1},Ki.CustomQualityParamInfo),radialSegments:ir.Numeric(16,{min:2,max:56,step:2},Ki.CustomQualityParamInfo)},wiA=(ir.getDefaultValues(biA),gA());function FiA(A,e,t,r,n,i){var o=e.polymerElements.length;if(!o)return Yv.createEmpty(i);for(var a=n.sizeFactor,s=n.detail,u=n.linearSegments,g=n.radialSegments,c=u*g*o+(g+1)*o*2,B=kD.createState(c,c/10,i),l=ZAA(u),Q=l.curvePoints,I=l.normalVectors,d=l.binormalVectors,h=l.widthValues,E=l.heightValues,f=0,C=SAA(e,t,{ignoreSecondaryStructure:!0});C.hasNext;){var p=C.move();B.currentGroup=f;var m=ns(p.moleculeType)?deA:IeA;WAA(l,p,.5,m);var y=p.coarseBackboneFirst||p.first,v=p.coarseBackboneLast||p.last,D=r.size.size(p.centerPrev)*a,b=r.size.size(p.center)*a,w=r.size.size(p.centerNext)*a;ceA(l,D,b,w,D,b,w,m);var F=u;if(p.initial){var U=u-(F=Math.max(Math.round(u*m),1));Q.copyWithin(0,3*U),d.copyWithin(0,3*U),I.copyWithin(0,3*U),h.copyWithin(0,3*U),E.copyWithin(0,3*U),gA.fromArray(wiA,Q,3),gA.normalize(wiA,gA.sub(wiA,p.p2,wiA)),gA.scaleAndAdd(wiA,p.p2,wiA,2*b),gA.toArray(wiA,Q,0)}else p.final&&(F=Math.max(Math.round(u*(1-m)),1),gA.fromArray(wiA,Q,3*F-3),gA.normalize(wiA,gA.sub(wiA,p.p2,wiA)),gA.scaleAndAdd(wiA,p.p2,wiA,2*b),gA.toArray(wiA,Q,3*F));!0===p.initial&&!0===p.final?oD(B,p.p2,2*b,s):2===g?_rA(B,Q,I,d,F,h,E,0):4===g?nrA(B,Q,I,d,F,h,E,0,y,v):CrA(B,Q,I,d,F,g,h,E,y,v,"elliptical"),++f}var S=kD.getMesh(B),N=Ss.expand(Ss(),e.boundary.sphere,1*n.sizeFactor);return S.setBoundingSphere(N),S}var UiA=w(w({},hx),biA);function SiA(A){return Ex({defaultProps:ir.getDefaultValues(UiA),createGeometry:FiA,createLocationIterator:BeA.fromGroup,getLoci:feA,eachLocation:yeA,setUpdateState:function(A,e,t){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.detail!==t.detail||e.linearSegments!==t.linearSegments||e.radialSegments!==t.radialSegments}},A)}var NiA={"polymer-tube":function(A,e){return Ix("Polymer tube mesh",A,e,SiA)},"polymer-gap":function(A,e){return Ix("Polymer gap cylinder",A,e,StA)}},RiA=w(w(w({},UiA),UtA),{sizeFactor:ir.Numeric(.2,{min:0,max:10,step:.01}),visuals:ir.MultiSelect(["polymer-tube","polymer-gap"],ir.objectToOptions(NiA)),bumpFrequency:ir.Numeric(2,{min:0,max:10,step:.1},Ki.ShadingCategory)}),HiA={name:"putty",label:"Putty",description:"Displays a tube smoothly following the trace atoms of polymers.",factory:function(A,e){return vR.createMulti("Putty",A,e,Fx,NiA)},getParams:function(A,e){var t=ir.clone(RiA),r=!1,n=!1;return e.units.forEach((function(A){!r&&TB.isAtomic(A)&&A.nucleotideElements.length&&(r=!0),!n&&A.gapElements.length&&(n=!0)})),t.visuals.defaultValue=["polymer-tube"],n&&t.visuals.defaultValue.push("polymer-gap"),t},defaultValues:ir.getDefaultValues(RiA),defaultColorTheme:{name:"chain-id"},defaultSizeTheme:{name:"uncertainty"},isApplicable:function(A){return A.polymerResidueCount>0}},GiA={"element-sphere":function(A,e){return Ix("Sphere mesh",A,e,m7)}},MiA=w(w({},p7),{bumpFrequency:ir.Numeric(1,{min:0,max:10,step:.1},Ki.ShadingCategory)}),LiA={name:"spacefill",label:"Spacefill",description:"Displays atomic/coarse elements as spheres.",factory:function(A,e){return vR.createMulti("Spacefill",A,e,Fx,GiA)},getParams:function(A,e){var t=ir.clone(MiA);return e.isCoarseGrained&&(t.sizeFactor.defaultValue=2),t},defaultValues:ir.getDefaultValues(MiA),defaultColorTheme:{name:"element-symbol"},defaultSizeTheme:{name:"physical"},isApplicable:function(A){return A.elementCount>0}},xiA=pa.is;function kiA(A,e,t,r,n,i){if(!TB.isAtomic(e))return cy.createEmpty(i);var o=t.child,a=null==o?void 0:o.unitMap.get(e.id);if(o&&!a)return cy.createEmpty(i);var s=hc.create(t,e),u=e.elements,g=e.bonds,c=g.edgeCount,B=g.a,l=g.b,Q=g.edgeProps,I=g.offset;if(!c)return cy.createEmpty(i);var d=Q.order,h=Q.flags,E=n.sizeFactor,f=n.aromaticBonds,C=n.includeTypes,p=n.excludeTypes,m=n.multipleBonds,y="off"===m,v="symmetric"===m,D=Y9(pa.fromNames(C),pa.fromNames(p),32),b=gA(),w=e.conformation.invariantPosition,F=e.rings,U=F.elementRingIndices,S=F.elementAromaticRingIndices,N={linkCount:2*c,referencePosition:function(A){var e,t,r=B[A],n=l[A];r>n&&(r=(e=[n,r])[0],n=e[1]),I[r+1]-I[r]==1&&(r=(t=[n,r])[0],n=t[1]);for(var i=U.get(r),o=0,a=I[r],s=I[r+1];a<s;++a){var g=l[a];if(g!==n&&g!==r){if(!i)return w(u[g],b);var c=U.get(g);if(!c)continue;var Q=mr(i,c);Q>o&&(o=Q,w(u[g],b))}}return o>0?b:null},position:function(A,e,t){w(u[B[t]],A),w(u[l[t]],e)},style:function(A){var e=d[A],t=h[A];if(xiA(t,2)||xiA(t,4))return 1;if(3===e)return y?0:v?4:5;if(f){var r=B[A],n=l[A],i=S.get(r),o=S.get(n),a=i&&o?mr(i,o):0;if(xiA(t,16)||a&&!D)return 2===a?8:7}return 2!==e||y?0:v?2:3},radius:function(A){s.element=u[B[A]];var e=r.size.size(s);s.element=u[l[A]];var t=r.size.size(s);return Math.min(e,t)*E},ignore:_9(t,e,n)},R=h_(0,N,n,i),H=Ss.expand(Ss(),(null!=a?a:e).boundary.sphere,1*E);return R.setBoundingSphere(H),R}var YiA=w(w(w({},vx),k9),{includeParent:ir.Boolean(!1)});function _iA(A){return Dx({defaultProps:ir.getDefaultValues(YiA),createGeometry:kiA,createLocationIterator:B9.fromGroup,getLoci:T9,eachLocation:P9,setUpdateState:function(A,e,t,r,n,i,o){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.linkScale!==t.linkScale||e.linkSpacing!==t.linkSpacing||e.aromaticDashCount!==t.aromaticDashCount||e.dashCount!==t.dashCount||e.ignoreHydrogens!==t.ignoreHydrogens||!T(e.includeTypes,t.includeTypes)||!T(e.excludeTypes,t.excludeTypes)||e.aromaticBonds!==t.aromaticBonds||e.multipleBonds!==t.multipleBonds;var a=i.group.units[0],s=o.group.units[0];TB.isAtomic(a)&&TB.isAtomic(s)&&(to.areEqual(a.bonds,s.bonds)||(A.createGeometry=!0,A.updateTransform=!0,A.updateColor=!0,A.updateSize=!0))}},A)}var ViA=new oB.ElementBondIterator;function TiA(A,e,t,r){for(ViA.setElement(e,t,r);ViA.hasNext;){var n=ViA.move();return n.otherUnit.conformation.position(n.otherUnit.elements[n.otherIndex],A),A}return null}function PiA(A,e,t,r,n){var i=e.interUnitBonds,o=i.edgeCount,a=i.edges;if(!o)return cy.createEmpty(n);var s=r.sizeFactor,u=r.aromaticBonds,g=r.multipleBonds,c="off"===g,B="symmetric"===g,l=gA(),Q=hc.create(),I={linkCount:o,referencePosition:function(A){var t,r,n,i,o=a[A];if(o.unitA<o.unitB)t=e.unitMap.get(o.unitA),r=e.unitMap.get(o.unitB),n=o.indexA,i=o.indexB;else{if(!(o.unitA>o.unitB))throw new Error("same units in createInterUnitBondLines");t=e.unitMap.get(o.unitB),r=e.unitMap.get(o.unitA),n=o.indexB,i=o.indexA}return TiA(l,e,t,n)||TiA(l,e,r,i)},position:function(A,t,r){var n=a[r],i=e.unitMap.get(n.unitA),o=e.unitMap.get(n.unitB);i.conformation.position(i.elements[n.indexA],A),o.conformation.position(o.elements[n.indexB],t)},style:function(A){var e=a[A].props.order,t=D.create(a[A].props.flag);return pa.is(t,2)||pa.is(t,4)?1:3===e?c?0:B?4:5:u&&pa.is(t,16)?7:2!==e||c?0:B?2:3},radius:function(A){var r=a[A];Q.structure=e,Q.unit=e.unitMap.get(r.unitA),Q.element=Q.unit.elements[r.indexA];var n=t.size.size(Q);Q.unit=e.unitMap.get(r.unitB),Q.element=Q.unit.elements[r.indexB];var i=t.size.size(Q);return Math.min(n,i)*s},ignore:V9(e,r)},d=h_(0,I,r,n),h=e.child,E=Ss.expand(Ss(),(null!=h?h:e).boundary.sphere,1*r.sizeFactor);return d.setBoundingSphere(E),d}var JiA=w(w(w({},cx),k9),{includeParent:ir.Boolean(!1)});function OiA(A){return function(A,e){return ax(w(w({},A),{setUpdateState:function(e,t,r,n,i,o,a){A.setUpdateState(e,t,r,n,i,o,a),bN.areEqual(n.size,i.size)||(e.updateSize=!0)},geometryUtils:cy.Utils}),e)}({defaultProps:ir.getDefaultValues(JiA),createGeometry:PiA,createLocationIterator:B9.fromStructure,getLoci:J9,eachLocation:O9,setUpdateState:function(A,e,t,r,n,i,o){A.createGeometry=e.sizeFactor!==t.sizeFactor||e.linkScale!==t.linkScale||e.linkSpacing!==t.linkSpacing||e.aromaticDashCount!==t.aromaticDashCount||e.dashCount!==t.dashCount||e.ignoreHydrogens!==t.ignoreHydrogens||!T(e.includeTypes,t.includeTypes)||!T(e.excludeTypes,t.excludeTypes)||e.multipleBonds!==t.multipleBonds,i.interUnitBonds!==o.interUnitBonds&&(A.createGeometry=!0,A.updateTransform=!0,A.updateColor=!0,A.updateSize=!0)}},A)}var KiA=gA.scaleAndAdd,jiA=gA.unitX,ziA=gA.unitY,qiA=gA.unitZ,ZiA=w(w({},vx),{lineSizeAttenuation:ir.Boolean(!1),ignoreHydrogens:ir.Boolean(!1),traceOnly:ir.Boolean(!1),crosses:ir.Select("lone",ir.arrayToOptions(["lone","all"])),crossSize:ir.Numeric(.35,{min:0,max:2,step:.01})});function WiA(A,e,t,r,n,i){var o=t.child;if(o&&!o.unitMap.get(e.id))return cy.createEmpty(i);for(var a=e.elements,s=a.length,u=gy.create(s,s/10,i),g=gA(),c=gA(),B=gA(),l=e.conformation.invariantPosition,Q=Q7(t,e,n),I=n.crossSize/2,d="lone"===n.crosses,h=0;h<s;++h)Q&&Q(a[h])||d&&TB.isAtomic(e)&&0!==Gx(t,e,h)||(l(a[h],g),KiA(c,g,jiA,I),KiA(B,g,jiA,-I),u.add(c[0],c[1],c[2],B[0],B[1],B[2],h),KiA(c,g,ziA,I),KiA(B,g,ziA,-I),u.add(c[0],c[1],c[2],B[0],B[1],B[2],h),KiA(c,g,qiA,I),KiA(B,g,qiA,-I),u.add(c[0],c[1],c[2],B[0],B[1],B[2],h));var E=u.getLines(),f=Ss.expand(Ss(),e.boundary.sphere,1*n.sizeFactor);return E.setBoundingSphere(f),E}function XiA(A){return Dx({defaultProps:ir.getDefaultValues(ZiA),createGeometry:WiA,createLocationIterator:B7.fromGroup,getLoci:E7,eachLocation:h7,setUpdateState:function(A,e,t){A.createGeometry=e.ignoreHydrogens!==t.ignoreHydrogens||e.traceOnly!==t.traceOnly||e.crosses!==t.crosses||e.crossSize!==t.crossSize}},A)}var $iA={"intra-bond":function(A,e){return Ix("Intra-unit bond line",A,e,_iA)},"inter-bond":function(A,e){return RL("Inter-unit bond line",A,e,OiA)},"element-point":function(A,e){return Ix("Points",A,e,miA)},"element-cross":function(A,e){return Ix("Crosses",A,e,XiA)}},AoA=w(w(w(w(w({},YiA),JiA),CiA),ZiA),{multipleBonds:ir.Select("offset",ir.arrayToOptions(["off","symmetric","offset"])),includeParent:ir.Boolean(!1),sizeFactor:ir.Numeric(3,{min:.01,max:10,step:.01}),unitKinds:WL(["atomic"]),visuals:ir.MultiSelect(["intra-bond","inter-bond","element-point","element-cross"],ir.objectToOptions($iA))}),eoA={name:"line",label:"Line",description:"Displays bonds as lines and atoms as points or 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ax(w(w({},A),{setUpdateState:function(e,t,r,n,i,o,a){A.setUpdateState(e,t,r,n,i,o,a),bN.areEqual(n.size,i.size)||(e.createGeometry=!0)},geometryUtils:qy.Utils}),e)}({defaultProps:ir.getDefaultValues(roA),createGeometry:toA,createLocationIterator:B7.fromStructure,getLoci:C7,eachLocation:f7,setUpdateState:function(A,e,t){e.resolution!==t.resolution&&(A.createGeometry=!0),e.radiusOffset!==t.radiusOffset&&(A.createGeometry=!0),e.smoothness!==t.smoothness&&(A.createGeometry=!0),e.ignoreHydrogens!==t.ignoreHydrogens&&(A.createGeometry=!0),e.traceOnly!==t.traceOnly&&(A.createGeometry=!0),e.includeParent!==t.includeParent&&(A.createGeometry=!0)},dispose:function(A){A.gridTexture.ref.value.destroy()}},A)}function ioA(A,e,t,r,n,i){return F(this,void 0,void 0,(function(){var r,o,a,s,u,g,c,B,l,Q,I,d,h;return U(this,(function(E){switch(E.label){case 0:if(r=A.runtime,!(o=A.webgl))throw new Error("GaussianDensityVolume requires `webgl`");return a=i?i.gridTexture.ref.value:void 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this.options.delete(A.id),this.runningTasks.delete(A.id),this.events.finished.next({id:t}),this.abortRequests.delete(A.id),r.refCount--,0===r.refCount&&Er(this.currentContext,r),[7];case 4:return[2]}}))}))},A.prototype.requestAbortAll=function(A){var e=this;this.runningTasks.forEach((function(t){return e.abortRequests.set(t,A)}))},A.prototype.requestAbort=function(A,e){var t="number"==typeof A?A:A.root.progress.taskId;this.abortRequests.set(t,e)},A.prototype.dispose=function(){this.ev.dispose()},A}();!function(A){A.testTask=function(A){var e=this;return Pe.create("Test",(function(t){return F(e,void 0,void 0,(function(){var e;return U(this,(function(r){switch(r.label){case 0:e=0,r.label=1;case 1:return e<A?[4,(n=100+200*Math.random(),new Promise((function(A){return setTimeout(A,n)})))]:[3,5];case 2:return r.sent(),t.shouldUpdate?[4,t.update({message:"Step "+e,current:e,max:A,isIndeterminate:!1})]:[3,4];case 3:r.sent(),r.label=4;case 4:return e++,[3,1];case 5:return[2]}var n}))}))}))}}(FoA||(FoA={}));var UoA=function(A){function e(e){var t=A.call(this,{entries:(0,Md.OrderedMap)()})||this;return t.events={changed:t.ev()},t.serialNumber=0,t.serialId=0,sV.Toast.Show.subscribe(e,(function(A){return t.show(A)})),sV.Toast.Hide.subscribe(e,(function(A){return t.hide(t.findByKey(A.key))})),t}return v(e,A),e.prototype.findByKey=function(A){return this.state.entries.find((function(e){return!!e&&e.key===A}))},e.prototype.show=function(A){var e,t=this,r=this.state.entries,n=void 0,i=++this.serialId;A.key&&(n=this.findByKey(A.key))?(void 0!==n.timeout&&clearTimeout(n.timeout),e=n.serialNumber,r=r.remove(n.id)):e=++this.serialNumber,n={id:i,serialNumber:e,key:A.key,title:A.title,message:A.message,timeout:this.timeout(i,A.timeoutMs),hide:function(){return t.hideId(i)}},this.updateState({entries:r.set(i,n)})&&this.events.changed.next(void 0)},e.prototype.timeout=function(A,e){var t=this;if(void 0!==e)return e<0&&(e=500),setTimeout((function(){var e=t.state.entries.get(A);e.timeout=void 0,t.hide(e)}),e)},e.prototype.hideId=function(A){this.hide(this.state.entries.get(A))},e.prototype.hide=function(A){A&&(void 0!==A.timeout&&clearTimeout(A.timeout),A.hide=void 0,this.updateState({entries:this.state.entries.delete(A.id)})&&this.events.changed.next(void 0))},e}(X_),SoA=function(A){function e(e){var t=A.call(this)||this;return t.plugin=e,t._params=void 0,t.behaviors={values:t.ev.behavior({transparent:t.params.transparent.defaultValue,axes:{name:"off",params:{}},resolution:t.params.resolution.defaultValue}),cropParams:t.ev.behavior({auto:!0,relativePadding:.1}),relativeCrop:t.ev.behavior({x:0,y:0,width:1,height:1})},t.events={previewed:t.ev()},t.canvas=document.createElement("canvas"),t.previewCanvas=document.createElement("canvas"),t.previewData={image:{data:new Uint8ClampedArray(1),width:1,height:0},background:SA(0),transparent:!1},t}return v(e,A),e.prototype.createParams=function(){var A=Math.min(this.plugin.canvas3d?this.plugin.canvas3d.webgl.maxRenderbufferSize:4096,4096);return{resolution:ir.MappedStatic("viewport",{viewport:ir.Group({}),hd:ir.Group({}),"full-hd":ir.Group({}),"ultra-hd":ir.Group({}),custom:ir.Group({width:ir.Numeric(1920,{min:128,max:A,step:1}),height:ir.Numeric(1080,{min:128,max:A,step:1})},{isFlat:!0})},{options:[["viewport","Viewport"],["hd","HD (1280 x 720)"],["full-hd","Full HD (1920 x 1080)"],["ultra-hd","Ultra HD (3840 x 2160)"],["custom","Custom"]]}),transparent:ir.Boolean(!1),axes:CP.axes}},Object.defineProperty(e.prototype,"params",{get:function(){return this._params?this._params:this._params=this.createParams()},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"values",{get:function(){return this.behaviors.values.value},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"cropParams",{get:function(){return this.behaviors.cropParams.value},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"relativeCrop",{get:function(){return this.behaviors.relativeCrop.value},enumerable:!1,configurable:!0}),e.prototype.getCanvasSize=function(){var A,e;return{width:(null===(A=this.plugin.canvas3d)||void 0===A?void 0:A.webgl.gl.drawingBufferWidth)||0,height:(null===(e=this.plugin.canvas3d)||void 0===e?void 0:e.webgl.gl.drawingBufferHeight)||0}},e.prototype.getSize=function(){var A=this.values;switch(A.resolution.name){case"viewport":return this.getCanvasSize();case"hd":return{width:1280,height:720};case"full-hd":return{width:1920,height:1080};case"ultra-hd":return{width:3840,height:2160};default:return{width:A.resolution.params.width,height:A.resolution.params.height}}},e.prototype.createPass=function(A){var e=this.plugin.canvas3d,t=e.webgl.extensions,r=t.colorBufferFloat,n=t.textureFloat,i=e.props.postprocessing.occlusion;return e.getImagePass({transparentBackground:this.values.transparent,cameraHelper:{axes:this.values.axes},multiSample:{mode:A?"on":"off",sampleLevel:r&&n?4:2},postprocessing:w(w({},e.props.postprocessing),{occlusion:"on"===i.name?{name:"on",params:w(w({},i.params),{samples:128})}:i}),marking:w({},e.props.marking)})},Object.defineProperty(e.prototype,"previewPass",{get:function(){return this._previewPass||(this._previewPass=this.createPass(!1))},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"imagePass",{get:function(){if(this._imagePass){var A=this.plugin.canvas3d,e=A.props.postprocessing.occlusion;return this._imagePass.setProps({cameraHelper:{axes:this.values.axes},transparentBackground:this.values.transparent,postprocessing:w(w({},A.props.postprocessing),{occlusion:"on"===e.name?{name:"on",params:w(w({},e.params),{samples:128})}:e}),marking:w({},A.props.marking)}),this._imagePass}return this._imagePass=this.createPass(!0)},enumerable:!1,configurable:!0}),e.prototype.getFilename=function(A){void 0===A&&(A=".png");var e=this.plugin.state.data.select(xd.Generators.rootsOfType(qf.Molecule.Model)).map((function(A){return A.obj.data})),t=new Set;e.forEach((function(A){return t.add(A.entryId.toUpperCase())}));var r=oa.toArray(t).join("-");return"".concat(r||"molstar-image").concat(A)},e.prototype.resetCrop=function(){this.behaviors.relativeCrop.next({x:0,y:0,width:1,height:1})},e.prototype.toggleAutocrop=function(){this.cropParams.auto?(this.behaviors.cropParams.next(w(w({},this.cropParams),{auto:!1})),this.resetCrop()):this.behaviors.cropParams.next(w(w({},this.cropParams),{auto:!0}))},Object.defineProperty(e.prototype,"isFullFrame",{get:function(){var A=this.relativeCrop;return W(A.x,0,1e-5)&&W(A.y,0,1e-5)&&W(A.width,1,1e-5)&&W(A.height,1,1e-5)},enumerable:!1,configurable:!0}),e.prototype.autocrop=function(A){void 0===A&&(A=this.cropParams.relativePadding);for(var e=this.previewData.image,t=e.data,r=e.width,n=e.height,i=this.previewData.transparent,o=i?this.previewData.background:4278190080|this.previewData.background,a=r,s=0,u=n,g=0,c=0;c<n;c++)for(var B=c*r,l=0;l<r;l++){var Q=4*(B+l);if(i){if(0===t[Q+3])continue}else if((t[Q]<<16|t[Q+1]<<8|t[Q+2]|t[Q+3]<<24)===o)continue;l<a&&(a=l),l>s&&(s=l),c<u&&(u=c),c>g&&(g=c)}if(a>s){var I=a;a=s,s=I}u>g&&(I=u,u=g,g=I);var d=s-a+1,h=g-u+1;a-=A*d,s+=A*d,u-=A*h,g+=A*h;var E={x:Math.max(0,a/r),y:Math.max(0,u/n),width:Math.min(1,(s-a+1)/r),height:Math.min(1,(g-u+1)/n)};this.behaviors.relativeCrop.next(E)},e.prototype.getPreview=function(A){void 0===A&&(A=320);var e=this.getSize(),t=e.width,r=e.height;if(!(t<=0||r<=0)){var n=t/r,i=0,o=0;n>1?(i=A,o=Math.round(A/n)):(o=A,i=Math.round(A*n));var a=this.plugin.canvas3d.props;this.previewPass.setProps({cameraHelper:{axes:this.values.axes},transparentBackground:this.values.transparent,postprocessing:a.postprocessing,marking:a.marking});var s=this.previewPass.getImageData(i,o),u=this.previewCanvas;u.width=s.width,u.height=s.height,this.previewData.image=s,this.previewData.background=a.renderer.backgroundColor,this.previewData.transparent=this.values.transparent;var g=u.getContext("2d");if(!g)throw new Error("Could not create canvas 2d context");return g.putImageData(s,0,0),this.cropParams.auto&&this.autocrop(),this.events.previewed.next(void 0),{canvas:u,width:i,height:o}}},e.prototype.getSizeAndViewport=function(){var A=this.getSize(),e=A.width,t=A.height,r=this.relativeCrop,n={x:Math.floor(r.x*e),y:Math.floor(r.y*t),width:Math.ceil(r.width*e),height:Math.ceil(r.height*t)};return n.width+n.x>e&&(n.width=e-n.x),n.height+n.y>t&&(n.height=t-n.y),{width:e,height:t,viewport:n}},e.prototype.draw=function(A){return F(this,void 0,void 0,(function(){var e,t,r,n,i,o,a;return U(this,(function(s){switch(s.label){case 0:return e=this.getSizeAndViewport(),t=e.width,r=e.height,n=e.viewport,t<=0||r<=0?[2]:[4,A.update("Rendering image...")];case 1:return s.sent(),i=this.imagePass.getImageData(t,r,n),[4,A.update("Encoding image...")];case 2:if(s.sent(),(o=this.canvas).width=i.width,o.height=i.height,!(a=o.getContext("2d")))throw new Error("Could not create canvas 2d context");return a.putImageData(i,0,0),[2]}}))}))},e.prototype.copyToClipboardTask=function(){var A=this,e=navigator.clipboard;if(null==e?void 0:e.write)return Pe.create("Copy Image",(function(t){return F(A,void 0,void 0,(function(){var A,r;return U(this,(function(n){switch(n.label){case 0:return[4,this.draw(t)];case 1:return n.sent(),[4,t.update("Converting image...")];case 2:return n.sent(),[4,O5(this.canvas,"png")];case 3:return A=n.sent(),r=new ClipboardItem({"image/png":A}),[4,e.write([r])];case 4:return n.sent(),this.plugin.log.message("Image copied to clipboard."),[2]}}))}))}));this.plugin.log.error("clipboard.write not supported!")},e.prototype.getImageDataUri=function(){var A=this;return this.plugin.runTask(Pe.create("Generate Image",(function(e){return F(A,void 0,void 0,(function(){return U(this,(function(A){switch(A.label){case 0:return[4,this.draw(e)];case 1:return A.sent(),[4,e.update("Converting image...")];case 2:return A.sent(),[2,this.canvas.toDataURL("png")]}}))}))})))},e.prototype.copyToClipboard=function(){var A=this.copyToClipboardTask();if(A)return this.plugin.runTask(A)},e.prototype.downloadTask=function(A){var e=this;return Pe.create("Download Image",(function(t){return F(e,void 0,void 0,(function(){return U(this,(function(e){switch(e.label){case 0:return[4,this.draw(t)];case 1:return e.sent(),[4,t.update("Downloading image...")];case 2:return e.sent(),[4,O5(this.canvas,"png")];case 3:return nV(e.sent(),null!=A?A:this.getFilename()),[2]}}))}))}))},e.prototype.download=function(A){this.plugin.runTask(this.downloadTask(A))},e}(W_),NoA=function(){function A(A){var e=this;this.spec=A,this.runTask=function(A,t){return e.managers.task.run(A,t)},this.resolveTask=function(A){if(A)return Pe.is(A)?e.runTask(A):A},this.subs=[],this.disposed=!1,this.ev=Fh.create(),this.config=new NL(this.spec.config),this.state=new U8(this),this.commands=new aV,this.canvas3dInit=this.ev.behavior(!1),this.behaviors={state:{isAnimating:this.ev.behavior(!1),isUpdating:this.ev.behavior(!1),isBusy:this.ev.behavior(!1)},interaction:{hover:this.ev.behavior({current:vR.Loci.Empty,modifiers:GV.None,buttons:0,button:0}),click:this.ev.behavior({current:vR.Loci.Empty,modifiers:GV.None,buttons:0,button:0}),drag:this.ev.behavior({current:vR.Loci.Empty,modifiers:GV.None,buttons:0,button:0,pageStart:BA(),pageEnd:BA()}),selectionMode:this.ev.behavior(!1)},labels:{highlight:this.ev.behavior({labels:[]})},layout:{leftPanelTabName:this.ev.behavior("root")},canvas3d:{initialized:this.canvas3dInit.pipe(x8((function(A){return!!A})),J5(1))}},this.layout=new M9(this),this.animationLoop=new boA(this),this.representation={structure:{registry:new DoA,themes:{colorThemeRegistry:EN.createRegistry(),sizeThemeRegistry:bN.createRegistry()}},volume:{registry:new V6,themes:{colorThemeRegistry:EN.createRegistry(),sizeThemeRegistry:bN.createRegistry()}}},this.query={structure:{registry:new wL}},this.dataFormats=new v9,this.builders={data:new K5(this),structure:void 0},this.helpers={substructureParent:new woA(this),viewportScreenshot:void 0},this.managers={structure:{hierarchy:new L1(this),component:new f3(this),measurement:new G3(this),selection:new N9(this),focus:new U9(this)},volume:{hierarchy:new f4(this)},interactivity:void 0,camera:new w9(this),animation:new D9(this),snapshot:new eV(this),lociLabels:void 0,toast:new UoA(this),asset:new or,task:new FoA},this.events={log:this.ev(),task:this.managers.task.events,canvas3d:{settingsUpdated:this.ev()}},this.customModelProperties=new _5.Registry,this.customStructureProperties=new _5.Registry,this.customStructureControls=new Map,this.genericRepresentationControls=new Map,this.customState=Object.create(null),this.log={entries:(0,Md.List)(),entry:function(A){return e.events.log.next(A)},error:function(A){return e.events.log.next(GE.error(A))},message:function(A){return e.events.log.next(GE.message(A))},info:function(A){return e.events.log.next(GE.info(A))},warn:function(A){return e.events.log.next(GE.warning(A))}},this.fetch=zt,SE(!1)}return A.prototype.build=function(){return this.state.data.build()},A.prototype.initViewer=function(A,e,t){var r,n,i,o,a,s,u=this;try{if(this.layout.setRoot(e),this.spec.layout&&this.spec.layout.initial&&this.layout.setProps(this.spec.layout.initial),t)this.canvas3dContext=t;else{var g=!(null!==(r=this.config.get(SL.General.DisableAntialiasing))&&void 0!==r&&r),c=!(null!==(n=this.config.get(SL.General.DisablePreserveDrawingBuffer))&&void 0!==n&&n),B=this.config.get(SL.General.PixelScale)||1,l=this.config.get(SL.General.PickScale)||.25,Q=null!==(i=this.config.get(SL.General.PickPadding))&&void 0!==i?i:1,I=this.config.get(SL.General.EnableWboit)||!1,d=this.config.get(SL.General.PreferWebGl1)||!1;this.canvas3dContext=SP.fromCanvas(A,{antialias:g,preserveDrawingBuffer:c,pixelScale:B,pickScale:l,pickPadding:Q,enableWboit:I,preferWebGl1:d})}this.canvas3d=xP.create(this.canvas3dContext),this.canvas3dInit.next(!0);var h=this.spec.canvas3d,E=SA(16579577);return h?(void 0===(null===(a=h.renderer)||void 0===a?void 0:a.backgroundColor)&&(h=NE(h,(function(A){A.renderer?A.renderer.backgroundColor=E:A.renderer={backgroundColor:E}}))),null===(s=this.canvas3d)||void 0===s||s.setProps(h)):null===(o=this.canvas3d)||void 0===o||o.setProps({renderer:{backgroundColor:E}}),this.animationLoop.start(),this.helpers.viewportScreenshot=new SoA(this),this.subs.push(this.canvas3d.interaction.click.subscribe((function(A){return u.behaviors.interaction.click.next(A)}))),this.subs.push(this.canvas3d.interaction.drag.subscribe((function(A){return u.behaviors.interaction.drag.next(A)}))),this.subs.push(this.canvas3d.interaction.hover.subscribe((function(A){return u.behaviors.interaction.hover.next(A)}))),this.subs.push(this.canvas3d.input.resize.subscribe((function(){return u.handleResize()}))),this.subs.push(this.layout.events.updated.subscribe((function(){return requestAnimationFrame((function(){return u.handleResize()}))}))),this.handleResize(),!0}catch(A){return this.log.error(""+A),console.error(A),!1}},A.prototype.handleResize=function(){var A,e,t=null===(A=this.canvas3dContext)||void 0===A?void 0:A.canvas,r=this.layout.root;r&&t&&(function(A,e,t){void 0===t&&(t=1);var r=window.innerWidth,n=window.innerHeight;e!==document.body&&(r=e.offsetWidth,n=e.offsetHeight),function(A,e,t,r){void 0===r&&(r=1),A.width=Math.round(window.devicePixelRatio*r*e),A.height=Math.round(window.devicePixelRatio*r*t),Object.assign(A.style,{width:"".concat(e,"px"),height:"".concat(t,"px")})}(A,r,n,t)}(t,r,this.config.get(SL.General.PixelScale)||1),null===(e=this.canvas3d)||void 0===e||e.requestResize())},Object.defineProperty(A.prototype,"isBusy",{get:function(){return this.behaviors.state.isAnimating.value||this.behaviors.state.isUpdating.value},enumerable:!1,configurable:!0}),Object.defineProperty(A.prototype,"selectionMode",{get:function(){return this.behaviors.interaction.selectionMode.value},set:function(A){this.behaviors.interaction.selectionMode.next(A)},enumerable:!1,configurable:!0}),A.prototype.dataTransaction=function(A,e){return this.runTask(this.state.data.transaction(A,e))},A.prototype.clear=function(A){var e;return void 0===A&&(A=!1),A&&(null===(e=this.canvas3d)||void 0===e||e.setProps(LP)),sV.State.RemoveObject(this,{state:this.state.data,ref:Gd.RootRef})},A.prototype.dispose=function(A){var e,t;if(!this.disposed){for(var r=0,n=this.subs;r<n.length;r++)n[r].unsubscribe();this.subs=[],this.commands.dispose(),null===(e=this.canvas3d)||void 0===e||e.dispose(),null===(t=this.canvas3dContext)||void 0===t||t.dispose(A),this.ev.dispose(),this.state.dispose(),this.managers.task.dispose(),this.helpers.substructureParent.dispose(),CA(this.managers,(function(A){var e,t;return null===(t=null===(e=A)||void 0===e?void 0:e.dispose)||void 0===t?void 0:t.call(e)})),CA(this.managers.structure,(function(A){var e,t;return null===(t=null===(e=A)||void 0===e?void 0:e.dispose)||void 0===t?void 0:t.call(e)})),this.disposed=!0}},A.prototype.initBehaviorEvents=function(){var A=this;this.subs.push(pq(this.state.data.behaviors.isUpdating,this.state.behaviors.behaviors.isUpdating).subscribe((function(e){A.behaviors.state.isUpdating.value!==e&&A.behaviors.state.isUpdating.next(e)})));var e=this.config.get(SL.General.IsBusyTimeoutMs)||750,t=this.behaviors.state.isBusy,r=void 0,n=function(){t.value||t.next(!0)},i=function(){void 0!==r&&clearTimeout(r),r=void 0};this.subs.push(pq(this.behaviors.state.isUpdating,this.behaviors.state.isAnimating).subscribe((function(o){var a=A.behaviors.state.isUpdating.value,s=A.behaviors.state.isAnimating.value;a||s?t.value||(i(),r=setTimeout(n,e)):(i(),t.next(!1))}))),this.subs.push(this.behaviors.interaction.selectionMode.subscribe((function(e){var t;e||null===(t=A.managers.interactivity)||void 0===t||t.lociSelects.deselectAll()})))},A.prototype.initBuiltInBehavior=function(){var A=this;aO.State.registerDefault(this),aO.Representation.registerDefault(this),aO.Camera.registerDefault(this),aO.Misc.registerDefault(this),this.subs.push(pq(this.state.data.events.log,this.state.behaviors.events.log).subscribe((function(e){return A.events.log.next(e)})))},A.prototype.initBehaviors=function(){return F(this,void 0,void 0,(function(){var A,e,t,r,n,i,o,a,s;return U(this,(function(u){switch(u.label){case 0:for(A=this.state.behaviors.build(),e=0,t=Object.keys(J_.Categories);e<t.length;e++)s=t[e],A.toRoot().apply(J_.CreateCategory,{label:J_.Categories[s]},{ref:s,state:{isLocked:!0}});for(r=0,n=this.spec.behaviors;r<n.length;r++)a=n[r],"custom-props"===(s=J_.getCategoryId(a.transformer))&&A.to(J_.getCategoryId(a.transformer)).apply(a.transformer,a.defaultParams,{ref:a.transformer.id});return[4,this.runTask(this.state.behaviors.updateTree(A,{doNotUpdateCurrent:!0,doNotLogTiming:!0}))];case 1:for(u.sent(),A=this.state.behaviors.build(),i=0,o=this.spec.behaviors;i<o.length;i++)a=o[i],"custom-props"!==(s=J_.getCategoryId(a.transformer))&&A.to(J_.getCategoryId(a.transformer)).apply(a.transformer,a.defaultParams,{ref:a.transformer.id});return[4,this.runTask(this.state.behaviors.updateTree(A,{doNotUpdateCurrent:!0,doNotLogTiming:!0}))];case 2:return u.sent(),[2]}}))}))},A.prototype.initCustomFormats=function(){if(this.spec.customFormats)for(var A=0,e=this.spec.customFormats;A<e.length;A++){var t=e[A];this.dataFormats.add(t[0],t[1])}},A.prototype.initAnimations=function(){if(this.spec.animations)for(var A=0,e=this.spec.animations;A<e.length;A++){var t=e[A];this.managers.animation.register(t)}},A.prototype.initDataActions=function(){if(this.spec.actions)for(var A=0,e=this.spec.actions;A<e.length;A++){var t=e[A];this.state.data.actions.add(t.action)}},A.prototype.init=function(){return F(this,void 0,void 0,(function(){var A=this;return U(this,(function(e){switch(e.label){case 0:return this.subs.push(this.events.log.subscribe((function(e){return A.log.entries=A.log.entries.push(e)}))),this.initCustomFormats(),this.initBehaviorEvents(),this.initBuiltInBehavior(),this.managers.interactivity=new M3(this),this.managers.lociLabels=new F9(this),this.builders.structure=new a9(this),this.initAnimations(),this.initDataActions(),[4,this.initBehaviors()];case 1:return e.sent(),this.log.message("Mol* Plugin ".concat($_," [").concat(AV.toLocaleString(),"]")),we||this.log.message("Development mode enabled"),Fe&&this.log.message("Debug mode enabled"),[2]}}))}))},A}(),RoA=function(A){function e(e){var t=A.call(this,e)||this;return t.spec=e,t.customParamEditors=new Map,t.initCustomParamEditors(),t}return v(e,A),e.prototype.initCustomParamEditors=function(){if(this.spec.customParamEditors)for(var A=0,e=this.spec.customParamEditors;A<e.length;A++){var t=e[A],r=t[0],n=t[1];this.customParamEditors.set(r.id,n)}},e.prototype.dispose=function(e){A.prototype.dispose.call(this,e),this.layout.dispose()},e}(NoA),HoA=q$.create({name:"built-in.animate-assembly-unwind",display:{name:"Unwind Assembly"},isExportable:!0,params:function(A){for(var e=[["all","All"]],t=0,r=A.state.data.select(xd.Generators.rootsOfType(qf.Molecule.Structure));t<r.length;t++){var n=r[t];e.push([n.transform.ref,n.obj.data.models[0].label])}return{durationInMs:ir.Numeric(3e3,{min:100,max:1e4,step:100}),playOnce:ir.Boolean(!1),target:ir.Select(e[0][0],e)}},canApply:function(A){var e=A.state.data,t=Gd.RootRef;return{canApply:e.select(xd.Generators.ofType(qf.Molecule.Structure.Representation3D,t)).length>0}},getDuration:function(A){return{kind:"fixed",durationMs:A.durationInMs}},initialState:function(){return{t:0}},setup:function(A,e,t){for(var r=t.state.data,n=A.target&&"all"!==A.target?A.target:Gd.RootRef,i=r.select(xd.Generators.ofType(qf.Molecule.Structure.Representation3D,n)),o=r.build(),a=!1,s=0,u=i;s<u.length;s++){var g=u[s];r.select(xd.Generators.ofTransformer(wM.Representation.UnwindStructureAssemblyRepresentation3D,g.transform.ref)).length>0||(a=!0,o.to(g).apply(wM.Representation.UnwindStructureAssemblyRepresentation3D,{t:0},{tags:"animate-assembly-unwind"}))}if(a)return o.commit({doNotUpdateCurrent:!0})},teardown:function(A,e,t){var r=t.state.data,n=r.select(xd.Generators.ofType(qf.Molecule.Structure.Representation3DState).withTag("animate-assembly-unwind"));if(0!==n.length){for(var i=r.build(),o=0,a=n;o<a.length;o++){var s=a[o];i.delete(s.transform.ref)}return i.commit()}},apply:function(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:if(r=t.plugin.state.data,n=t.params.target&&"all"!==t.params.target?t.params.target:Gd.RootRef,0===(i=r.select(xd.Generators.ofTransformer(wM.Representation.UnwindStructureAssemblyRepresentation3D,n))).length)return[2,{kind:"finished"}];for(o=r.build(),a=(e.current-e.lastApplied)/t.params.durationInMs,s=A.t+a,u=!1,t.params.playOnce&&s>=1?(u=!0,s=1):s%=1,g=0,c=i;g<c.length;g++)B=c[g],o.to(B).update({t:s});return[4,sV.State.Update(t.plugin,{state:r,tree:o,options:{doNotLogTiming:!0}})];case 1:return l.sent(),u?[2,{kind:"finished"}]:[2,{kind:"next",state:{t:s}}]}}))}))}}),GoA=gA(),MoA=gA(),LoA=QA(),xoA=q$.create({name:"built-in.animate-camera-spin",display:{name:"Camera Spin"},isExportable:!0,params:function(){return{durationInMs:ir.Numeric(4e3,{min:100,max:2e4,step:100}),speed:ir.Numeric(1,{min:1,max:10,step:1},{description:"How many times to spin in the specified dutation."}),direction:ir.Select("cw",[["cw","Clockwise"],["ccw","Counter Clockwise"]],{cycle:!0})}},initialState:function(A,e){var t;return{snapshot:null===(t=e.canvas3d)||void 0===t?void 0:t.camera.getSnapshot()}},getDuration:function(A){return{kind:"fixed",durationMs:A.durationInMs}},teardown:function(A,e,t){var r;null===(r=t.canvas3d)||void 0===r||r.requestCameraReset({snapshot:e.snapshot,durationMs:0})},apply:function(A,e,t){var r,n;return F(this,void 0,void 0,(function(){var i,o,a,s;return U(this,(function(u){return 0===e.current?[2,{kind:"next",state:A}]:(i=A.snapshot).radiusMax<1e-4?[2,{kind:"finished"}]:(o=iA(e.current/t.params.durationInMs,0,1))>=.99999?(null===(r=t.plugin.canvas3d)||void 0===r||r.requestCameraReset({snapshot:i,durationMs:0}),[2,{kind:"finished"}]):(a=2*Math.PI*o*t.params.speed*("ccw"===t.params.direction?-1:1),gA.sub(GoA,i.position,i.target),gA.normalize(MoA,i.up),QA.setAxisAngle(LoA,MoA,a),gA.transformQuat(GoA,GoA,LoA),s=gA.add(gA(),i.target,GoA),null===(n=t.plugin.canvas3d)||void 0===n||n.requestCameraReset({snapshot:w(w({},i),{position:s}),durationMs:0}),[2,{kind:"next",state:A}])}))}))}}),koA=q$.create({name:"built-in.animate-model-index",display:{name:"Animate Trajectory"},isExportable:!0,params:function(){return{mode:ir.MappedStatic("loop",{palindrome:ir.Group({}),loop:ir.Group({direction:ir.Select("forward",[["forward","Forward"],["backward","Backward"]])}),once:ir.Group({direction:ir.Select("forward",[["forward","Forward"],["backward","Backward"]])},{isFlat:!0})},{options:[["palindrome","Palindrome"],["loop","Loop"],["once","Once"]]}),duration:ir.MappedStatic("fixed",{fixed:ir.Group({durationInS:ir.Numeric(5,{min:1,max:120,step:.1},{description:"Duration in seconds"})},{isFlat:!0}),computed:ir.Group({targetFps:ir.Numeric(30,{min:5,max:250,step:1},{label:"Target FPS"})},{isFlat:!0}),sequential:ir.Group({maxFps:ir.Numeric(30,{min:5,max:60,step:1})},{isFlat:!0})})}},canApply:function(A){for(var e=A.state.data,t=0,r=e.select(xd.Generators.ofTransformer(wM.Model.ModelFromTrajectory));t<r.length;t++){var n=r[t],i=xd.findAncestorOfType(e.tree,e.cells,n.transform.ref,qf.Molecule.Trajectory);if(i&&i.obj&&i.obj.data.frameCount>1)return{canApply:!0}}return{canApply:!1,reason:"No trajectory to animate"}},getDuration:function(A,e){var t;if("fixed"===(null===(t=A.duration)||void 0===t?void 0:t.name))return{kind:"fixed",durationMs:1e3*A.duration.params.durationInS};if("computed"===A.duration.name){for(var r=e.state.data,n=0,i=0,o=r.select(xd.Generators.ofTransformer(wM.Model.ModelFromTrajectory));i<o.length;i++){var a=o[i],s=xd.findAncestorOfType(r.tree,r.cells,a.transform.ref,qf.Molecule.Trajectory);if(s&&s.obj){var u=s.obj;n=Math.max(Math.ceil(1e3*u.data.frameCount/A.duration.params.targetFps),n)}}return{kind:"fixed",durationMs:n}}return{kind:"unknown"}},initialState:function(){return{}},apply:function(A,e,t){return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c,B,l;return U(this,(function(Q){switch(Q.label){case 0:if("sequential"===t.params.duration.name&&e.current>0&&e.current-e.lastApplied<1e3/t.params.duration.params.maxFps)return[2,{kind:"skip"}];if(r=t.plugin.state.data,0===(n=r.select(xd.Generators.ofTransformer(wM.Model.ModelFromTrajectory))).length)return[2,{kind:"finished"}];for(i=r.build(),o=t.params,a=A.palindromeDirections||{},s=!1,u=!0,g=function(A){var t=xd.findAncestorOfType(r.tree,r.cells,A.transform.ref,qf.Molecule.Trajectory);if(!t||!t.obj)return"continue";var n=t.obj;if(n.data.frameCount<=1)return"continue";i.to(A).update((function(t){var r=n.data.frameCount;if(1===r)return t;if(u=!1,"sequential"===o.duration.name){var i=1;if("once"===o.mode.name){if(-1==(i="backward"===o.mode.params.direction?-1:1)&&0===t.modelIndex||1===i&&t.modelIndex===r-1)return s=!0,t}else"palindrome"===o.mode.name&&(i=0===t.modelIndex?1:t.modelIndex===r-1?-1:a[A.transform.ref]||1);return a[A.transform.ref]=i,(B=(t.modelIndex+i)%r)<0&&(B+=r),s=s||-1===i&&0===B||1===i&&B===r-1,{modelIndex:B}}var g="fixed"===o.duration.name?1e3*o.duration.params.durationInS:Math.ceil(1e3*n.data.frameCount/o.duration.params.targetFps),c=e.current%g/g;"loop"===o.mode.name&&"backward"===o.mode.params.direction&&(c=1-c),"palindrome"===o.mode.name&&(c*=2)>1&&(c=2-c);var B=Math.min(Math.floor(n.data.frameCount*c),n.data.frameCount-1);return s=s||B===n.data.frameCount-1,{modelIndex:B}}))},c=0,B=n;c<B.length;c++)l=B[c],g(l);return u?[3,2]:[4,sV.State.Update(t.plugin,{state:r,tree:i,options:{doNotLogTiming:!0}})];case 1:Q.sent(),Q.label=2;case 2:return u||"once"===o.mode.name&&s?[2,{kind:"finished"}]:"palindrome"===o.mode.name?[2,{kind:"next",state:{palindromeDirections:a}}]:[2,{kind:"next",state:{}}]}}))}))}});function YoA(A,e,t){var r;return void 0===t&&(t=!1),F(this,void 0,void 0,(function(){return U(this,(function(n){switch(n.label){case 0:return e.snapshot.data?[4,A.runTask(A.state.data.setSnapshot(e.snapshot.data))]:[3,2];case 1:n.sent(),n.label=2;case 2:return e.snapshot.camera&&(null===(r=A.canvas3d)||void 0===r||r.requestCameraReset({snapshot:e.snapshot.camera.current,durationMs:t||"instant"===e.snapshot.camera.transitionStyle?0:e.snapshot.camera.transitionDurationInMs})),[2]}}))}))}var _oA,VoA=q$.create({name:"built-in.animate-state-snapshots",display:{name:"State Snapshots"},isExportable:!0,params:function(){return{}},canApply:function(A){var e=A.managers.snapshot.state.entries;return e.size<2?{canApply:!1,reason:"At least 2 states required."}:e.some((function(A){return!!(null==A?void 0:A.snapshot.startAnimation)}))?{canApply:!1,reason:"Nested animations not supported."}:{canApply:A.managers.snapshot.state.entries.size>1}},setup:function(A,e,t){var r=t.managers.snapshot.state.entries.get(0);YoA(t,r,!0)},getDuration:function(A,e){return{kind:"fixed",durationMs:e.managers.snapshot.state.entries.toArray().reduce((function(A,e){var t;return A+(null!==(t=e.snapshot.durationInMs)&&void 0!==t?t:0)}),0)}},initialState:function(A,e){var t=e.managers.snapshot.state.entries.toArray();return{totalDuration:t.reduce((function(A,e){var t;return A+(null!==(t=e.snapshot.durationInMs)&&void 0!==t?t:0)}),0),snapshots:t,currentIndex:0}},apply:function(A,e,t){var r;return F(this,void 0,void 0,(function(){var n,i,o,a,s;return U(this,(function(u){if(e.current>=A.totalDuration)return[2,{kind:"finished"}];for(n=0,i=0,o=0,a=A.snapshots;o<a.length&&(s=a[o],n+=null!==(r=s.snapshot.durationInMs)&&void 0!==r?r:0,!(e.current<n));o++)i++;return i>=A.snapshots.length?[2,{kind:"finished"}]:i===A.currentIndex?[2,{kind:"skip"}]:(YoA(t.plugin,A.snapshots[i]),[2,{kind:"next",state:w(w({},A),{currentIndex:i})}])}))}))}}),ToA={Structure:C,Volume:p,DataFormat:m},PoA=q$.create({name:"built-in.animate-state-interpolation",display:{name:"Animate State (experimental)"},params:function(){return{transtionDurationInMs:ir.Numeric(2e3,{min:100,max:3e4,step:10})}},canApply:function(A){return{canApply:A.managers.snapshot.state.entries.size>1}},initialState:function(){return{}},apply:function(A,e,t){return F(this,void 0,void 0,(function(){var A,r,n,i,o,a,s,u,g,c,B,l,Q,I,d,h,E,f,C,p;return U(this,(function(m){switch(m.label){case 0:if((A=t.plugin.managers.snapshot.state.entries).size<2)return[2,{kind:"finished"}];if(r=e.current%t.params.transtionDurationInMs/t.params.transtionDurationInMs,n=Math.floor(e.current/t.params.transtionDurationInMs)%A.size,(i=Math.ceil(e.current/t.params.transtionDurationInMs))===n&&i++,i%=A.size,o=A.get(n).snapshot,a=A.get(i).snapshot,!o.data||!a.data)return[2,{kind:"skip"}];for(s=o.data.tree.transforms,u=a.data.tree.transforms,g=t.plugin.state.data,c=g.build(),B=0,l=s;B<l.length;B++)for(Q=l[B],I=0,d=u;I<d.length;I++)(h=d[I]).ref===Q.ref&&h.version!==Q.version&&(E=Gd.fromJSON(Q),f=Gd.fromJSON(h),(C=g.cells.get(Q.ref))&&(void 0,p=E.transformer.definition.interpolate?E.transformer.definition.interpolate(E.params,f.params,r,t.plugin):r<=.5?E.params:f.params,O(C,p)||c.to(Q.ref).update(p)));return[4,sV.State.Update(t.plugin,{state:g,tree:c,options:{doNotLogTiming:!0}})];case 1:return m.sent(),[2,{kind:"next",state:{}}]}}))}))}}),JoA=q$.create({name:"built-in.animate-structure-spin",display:{name:"Spin Structure"},isExportable:!0,params:function(){return{durationInMs:ir.Numeric(3e3,{min:100,max:1e4,step:100})}},initialState:function(){return{t:0}},getDuration:function(A){return{kind:"fixed",durationMs:A.durationInMs}},setup:function(A,e,t){return F(this,void 0,void 0,(function(){var A,e,r,n,i,o,a;return U(this,(function(s){for(A=t.state.data,e=A.select(xd.Generators.ofType(qf.Molecule.Structure.Representation3D)),r=A.build(),n=!1,i=0,o=e;i<o.length;i++)a=o[i],A.select(xd.Generators.ofTransformer(wM.Representation.SpinStructureRepresentation3D,a.transform.ref)).length>0||(n=!0,r.to(a.transform.ref).apply(wM.Representation.SpinStructureRepresentation3D,{t:0},{tags:"animate-structure-spin"}));return n?[2,r.commit({doNotUpdateCurrent:!0})]:[2]}))}))},teardown:function(A,e,t){var r=t.state.data,n=r.select(xd.Generators.ofType(qf.Molecule.Structure.Representation3DState).withTag("animate-structure-spin"));if(0!==n.length){for(var i=r.build(),o=0,a=n;o<a.length;o++){var s=a[o];i.delete(s.transform.ref)}return i.commit()}},apply:function(A,e,t){var r;return F(this,void 0,void 0,(function(){var n,i,o,a,s,u,g,c;return U(this,(function(B){switch(B.label){case 0:if(n=t.plugin.state.data,0===(i=n.select(xd.Generators.ofTransformer(wM.Representation.SpinStructureRepresentation3D))).length)return[2,{kind:"finished"}];for(o=n.build(),a=(e.current-e.lastApplied)/t.params.durationInMs,s=(A.t+a)%1,u=0,g=i;u<g.length;u++)c=g[u],o.to(c).update(w(w({},null===(r=c.params)||void 0===r?void 0:r.values),{t:s}));return[4,sV.State.Update(t.plugin,{state:n,tree:o,options:{doNotLogTiming:!0}})];case 1:return B.sent(),[2,{kind:"next",state:{t:s}}]}}))}))}});!function(A){A.Action=function(A,e){return{action:A,customControl:e&&e.customControl,autoUpdate:e&&e.autoUpdate}},A.Behavior=function(A,e){return void 0===e&&(e={}),{transformer:A,defaultParams:e}}}(_oA||(_oA={}));var OoA={color:ir.Color(Rr.black,{description:"Display color of the volume."}),wireframe:ir.Boolean(!1,{description:"Control display of the volume as a wireframe."}),opacity:ir.Numeric(.3,{min:0,max:1,step:.01},{description:"Opacity of the volume."})},KoA=new Map([["em",[-5,5]],["2fo-fc",[0,3]],["fo-fc(+ve)",[1,5]],["fo-fc(-ve)",[-5,-1]]]),joA=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.ref=xd.findTagInSubtree(e.plugin.state.data.tree,e.props.bCell.transform.ref,e.props.name),e.getVisible=function(){var A=e.plugin.state.data,t=e.ref;return!!t&&!A.cells.get(t).state.isHidden},e.toggleVisible=function(){var A=e.plugin.state.data,t=e.ref;t&&hV(A,t,!A.cells.get(t).state.isHidden)},e}return v(e,A),e.prototype.componentDidUpdate=function(){this.ref=xd.findTagInSubtree(this.plugin.state.data.tree,this.props.bCell.transform.ref,this.props.name)},e.prototype.componentDidMount=function(){var A=this;this.subscribe(this.plugin.state.data.events.cell.stateUpdated,(function(e){A.ref===e.ref&&A.forceUpdate()}))},e.prototype.render=function(){var A=this.props,e=A.isRelative,t=A.stats,r=A.channels[A.name],n=t.min,i=t.max,o=t.mean,a=t.sigma,s=Math.round(100*("relative"===r.isoValue.kind?r.isoValue.relativeValue:r.isoValue.absoluteValue))/100,u=(n-o)/a,g=(i-o)/a;if(!this.props.isUnbounded){var c=KoA.get(this.props.name);"em"===this.props.name?(u=Math.max(c[0],u),g=Math.min(c[1],g)):(u=c[0],g=c[1])}var B=o+a*u,l=o+a*g,Q=bu(e?Math.round((l-B)/a)/100:a/100,2),I=e?u:B,d=e?g:l;return(0,Zz.jsx)(jW,{label:A.label+(A.isRelative?" σ":""),colorStripe:r.color,pivot:(0,Zz.jsxs)("div",w({className:"msp-volume-channel-inline-controls"},{children:[(0,Zz.jsx)(fX,{value:s,min:I,max:d,step:Q,onChange:function(t){return A.changeIso(A.name,t,e)},disabled:A.params.isDisabled,onEnter:A.params.events.onEnter},void 0),(0,Zz.jsx)(ZW,{svg:this.getVisible()?xW:MW,onClick:this.toggleVisible,toggleState:!1,disabled:A.params.isDisabled},void 0)]}),void 0),controls:(0,Zz.jsx)(UX,{onChange:function(e){var t=e.name,r=e.value;return A.changeParams(A.name,t,r)},params:OoA,values:r,onEnter:A.params.events.onEnter,isDisabled:A.params.isDisabled},void 0)},void 0)},e}(eX),zoA=function(A){function e(){var e=null!==A&&A.apply(this,arguments)||this;return e.changeIso=function(A,t,r){var n,i=e.props.params;e.newParams(w(w({},i),{entry:{name:i.entry.name,params:w(w({},i.entry.params),{channels:w(w({},i.entry.params.channels),(n={},n[A]=w(w({},i.entry.params.channels[A]),{isoValue:r?Ly.IsoValue.relative(t):Ly.IsoValue.absolute(t)}),n))})}}))},e.changeParams=function(A,t,r){var n,i,o=e.props.params;e.newParams(w(w({},o),{entry:{name:o.entry.name,params:w(w({},o.entry.params),{channels:w(w({},o.entry.params.channels),(n={},n[A]=w(w({},o.entry.params.channels[A]),(i={},i[t]=r,i)),n))})}}))},e.changeOption=function(A){var t=A.name,r=A.value,n=e.props.params;if("entry"===t)e.newParams(w(w({},n),{entry:{name:r,params:n.entry.params}}));else{var i=e.props.b.data,o="em"===i.info.kind,a=r.params.isRelative,s=i.info.header.sampling[0],u=n.entry.params.channels,g=n.entry.params.view.name===r.name?n.entry.params.view.params:e.props.info.params.entry.map(n.entry.name).params.view.map(r.name).defaultValue,c=w({},g);"selection-box"===r.name?c.radius=r.params.radius:"box"===r.name?(c.bottomLeft=r.params.bottomLeft,c.topRight=r.params.topRight):"auto"===r.name&&(c.radius=r.params.radius,c.selectionDetailLevel=r.params.selectionDetailLevel),c.isUnbounded=!!r.params.isUnbounded,e.newParams(w(w({},n),{entry:{name:n.entry.name,params:w(w({},n.entry.params),{view:{name:r.name,params:c},detailLevel:r.params.detailLevel,channels:o?{em:e.convert(u.em,s.valuesInfo[0],a)}:{"2fo-fc":e.convert(u["2fo-fc"],s.valuesInfo[0],a),"fo-fc(+ve)":e.convert(u["fo-fc(+ve)"],s.valuesInfo[1],a),"fo-fc(-ve)":e.convert(u["fo-fc(-ve)"],s.valuesInfo[1],a)}})}}))}},e}return v(e,A),e.prototype.areInitial=function(A){return ir.areEqual(this.props.info.params,A,this.props.info.initialValues)},e.prototype.newParams=function(A){this.props.events.onChange(A,this.areInitial(A))},e.prototype.convert=function(A,e,t){return w(w({},A),{isoValue:t?Ly.IsoValue.toRelative(A.isoValue,e):Ly.IsoValue.toAbsolute(A.isoValue,e)})},e.prototype.render=function(){if(!this.props.b)return null;var A=this.props.b.data,e="em"===A.info.kind,t=e?"em":"2fo-fc",r=this.props.params,n=this.props.info.params.entry.map(r.entry.name).params.detailLevel,i="relative"===r.entry.params.channels[t].isoValue.kind,o=A.info.header.sampling[0],a=ir.Boolean(i,{description:"Use normalized or absolute isocontour scale.",label:"Normalized"}),s=!!r.entry.params.view.params.isUnbounded,u=ir.Boolean(s,{description:"Show full/limited range of iso-values for more fine-grained control.",label:"Unbounded"}),g="off"===r.entry.params.view.name,c={entry:ir.Select(r.entry.name,A.data.entries.map((function(A){return[A.dataId,A.dataId]})),{isHidden:g,description:"Which entry with volume data to display."}),view:ir.MappedStatic(r.entry.params.view.name,{off:ir.Group({isRelative:ir.Boolean(i,{isHidden:!0}),isUnbounded:ir.Boolean(s,{isHidden:!0})},{description:"Display off."}),box:ir.Group({bottomLeft:ir.Vec3(gA.zero()),topRight:ir.Vec3(gA.zero()),detailLevel:n,isRelative:a,isUnbounded:u},{description:"Static box defined by cartesian coords."}),"selection-box":ir.Group({radius:ir.Numeric(5,{min:0,max:50,step:.5},{description:"Radius in Å within which the volume is shown."}),detailLevel:n,isRelative:a,isUnbounded:u},{description:"Box around focused element."}),cell:ir.Group({detailLevel:n,isRelative:a,isUnbounded:u},{description:"Box around the structure's bounding box."}),auto:ir.Group({radius:ir.Numeric(5,{min:0,max:50,step:.5},{description:"Radius in Å within which the volume is shown."}),detailLevel:n,selectionDetailLevel:w(w({},n),{label:"Selection Detail"}),isRelative:a,isUnbounded:u},{description:"Box around focused element."})},{options:c1.ViewTypeOptions,description:'Controls what of the volume is displayed. "Off" hides the volume alltogether. "Bounded box" shows the volume inside the given box. "Around Focus" shows the volume around the element/atom last interacted with. "Whole Structure" shows the volume for the whole structure.'})},B={entry:r.entry.name,view:{name:r.entry.params.view.name,params:{detailLevel:r.entry.params.detailLevel,radius:r.entry.params.view.params.radius,bottomLeft:r.entry.params.view.params.bottomLeft,topRight:r.entry.params.view.params.topRight,selectionDetailLevel:r.entry.params.view.params.selectionDetailLevel,isRelative:i,isUnbounded:s}}};return g?(0,Zz.jsx)(UX,{onChange:this.changeOption,params:c,values:B,onEnter:this.props.events.onEnter,isDisabled:this.props.isDisabled},void 0):(0,Zz.jsxs)(Zz.Fragment,{children:[!e&&(0,Zz.jsx)(joA,{label:"2Fo-Fc",name:"2fo-fc",bCell:this.props.bCell,channels:r.entry.params.channels,changeIso:this.changeIso,changeParams:this.changeParams,isRelative:i,params:this.props,stats:o.valuesInfo[0],isUnbounded:s},void 0),!e&&(0,Zz.jsx)(joA,{label:"Fo-Fc(+ve)",name:"fo-fc(+ve)",bCell:this.props.bCell,channels:r.entry.params.channels,changeIso:this.changeIso,changeParams:this.changeParams,isRelative:i,params:this.props,stats:o.valuesInfo[1],isUnbounded:s},void 0),!e&&(0,Zz.jsx)(joA,{label:"Fo-Fc(-ve)",name:"fo-fc(-ve)",bCell:this.props.bCell,channels:r.entry.params.channels,changeIso:this.changeIso,changeParams:this.changeParams,isRelative:i,params:this.props,stats:o.valuesInfo[1],isUnbounded:s},void 0),e&&(0,Zz.jsx)(joA,{label:"EM",name:"em",bCell:this.props.bCell,channels:r.entry.params.channels,changeIso:this.changeIso,changeParams:this.changeParams,isRelative:i,params:this.props,stats:o.valuesInfo[0],isUnbounded:s},void 0),(0,Zz.jsx)(UX,{onChange:this.changeOption,params:c,values:B,onEnter:this.props.events.onEnter,isDisabled:this.props.isDisabled},void 0)]},void 0)},e}(eX),qoA=function(){return w(w({},{actions:[_oA.Action(ToA.Structure.DownloadStructure),_oA.Action(ToA.Structure.AddTrajectory),_oA.Action(ToA.Volume.DownloadDensity),_oA.Action(ToA.DataFormat.DownloadFile),_oA.Action(ToA.DataFormat.OpenFiles),_oA.Action(ToA.Structure.EnableModelCustomProps),_oA.Action(ToA.Structure.EnableStructureCustomProps),_oA.Action(P6),_oA.Action(J6),_oA.Action(j6),_oA.Action(wM.Data.Download),_oA.Action(wM.Data.ParseCif),_oA.Action(wM.Data.ParseCcp4),_oA.Action(wM.Data.ParseDsn6),_oA.Action(wM.Model.TrajectoryFromMmCif),_oA.Action(wM.Model.TrajectoryFromCifCore),_oA.Action(wM.Model.TrajectoryFromPDB),_oA.Action(wM.Model.TransformStructureConformation),_oA.Action(wM.Model.StructureFromModel),_oA.Action(wM.Model.StructureFromTrajectory),_oA.Action(wM.Model.ModelFromTrajectory),_oA.Action(wM.Model.StructureSelectionFromScript),_oA.Action(wM.Representation.StructureRepresentation3D),_oA.Action(wM.Representation.StructureSelectionsDistance3D),_oA.Action(wM.Representation.StructureSelectionsAngle3D),_oA.Action(wM.Representation.StructureSelectionsDihedral3D),_oA.Action(wM.Representation.StructureSelectionsLabel3D),_oA.Action(wM.Representation.StructureSelectionsOrientation3D),_oA.Action(wM.Representation.ModelUnitcell3D),_oA.Action(wM.Representation.StructureBoundingBox3D),_oA.Action(wM.Representation.ExplodeStructureRepresentation3D),_oA.Action(wM.Representation.SpinStructureRepresentation3D),_oA.Action(wM.Representation.UnwindStructureAssemblyRepresentation3D),_oA.Action(wM.Representation.OverpaintStructureRepresentation3DFromScript),_oA.Action(wM.Representation.TransparencyStructureRepresentation3DFromScript),_oA.Action(wM.Representation.SubstanceStructureRepresentation3DFromScript),_oA.Action(X2),_oA.Action(wM.Volume.VolumeFromCcp4),_oA.Action(wM.Volume.VolumeFromDsn6),_oA.Action(wM.Volume.VolumeFromCube),_oA.Action(wM.Volume.VolumeFromDx),_oA.Action(wM.Representation.VolumeRepresentation3D)],behaviors:[_oA.Behavior(sO.Representation.HighlightLoci),_oA.Behavior(sO.Representation.SelectLoci),_oA.Behavior(sO.Representation.DefaultLociLabelProvider),_oA.Behavior(sO.Representation.FocusLoci),_oA.Behavior(sO.Camera.FocusLoci),_oA.Behavior(sO.Camera.CameraAxisHelper),_oA.Behavior(BO),_oA.Behavior(sO.CustomProps.StructureInfo),_oA.Behavior(sO.CustomProps.AccessibleSurfaceArea),_oA.Behavior(sO.CustomProps.BestDatabaseSequenceMapping),_oA.Behavior(sO.CustomProps.Interactions),_oA.Behavior(sO.CustomProps.SecondaryStructure),_oA.Behavior(sO.CustomProps.ValenceModel),_oA.Behavior(sO.CustomProps.CrossLinkRestraint)],animations:[koA,xoA,VoA,HoA,JoA,PoA]}),{customParamEditors:[[j6,zoA]]})};t(1944),t.p,t.p,t.p,t(5733);var ZoA=[["g3d",Tz]],WoA={cellpack:_oA.Behavior(Xj),"dnatco-confal-pyramids":_oA.Behavior(yz),"pdbe-structure-quality-report":_oA.Behavior(B0),"rcsb-assembly-symmetry":_oA.Behavior(V1),"rcsb-validation-report":_oA.Behavior(H2),"anvil-membrane-orientation":_oA.Behavior(wK),g3d:_oA.Behavior(qz),"mp4-export":_oA.Behavior(t0),"geo-export":_oA.Behavior(_$)},XoA={customFormats:ZoA,extensions:GN(WoA),layoutIsExpanded:!1,layoutShowControls:!0,layoutShowRemoteState:!0,layoutControlsDisplay:"reactive",layoutShowSequence:!0,layoutShowLog:!1,layoutShowLeftPanel:!1,layoutShowRightPanel:!1,collapseLeftPanel:!1,collapseRightPanel:!0,disableAntialiasing:SL.General.DisableAntialiasing.defaultValue,pixelScale:SL.General.PixelScale.defaultValue,pickScale:SL.General.PickScale.defaultValue,pickPadding:SL.General.PickPadding.defaultValue,enableWboit:SL.General.EnableWboit.defaultValue,viewportShowExpand:SL.Viewport.ShowExpand.defaultValue,viewportShowControls:SL.Viewport.ShowControls.defaultValue,viewportShowSettings:SL.Viewport.ShowSettings.defaultValue,viewportShowSelectionMode:SL.Viewport.ShowSelectionMode.defaultValue,viewportShowAnimation:SL.Viewport.ShowAnimation.defaultValue,pluginStateServer:SL.State.DefaultServer.defaultValue,volumeStreamingServer:SL.VolumeStreaming.DefaultServer.defaultValue,volumeStreamingDisabled:!SL.VolumeStreaming.Enabled.defaultValue,pdbProvider:SL.Download.DefaultPdbProvider.defaultValue,emdbProvider:SL.Download.DefaultEmdbProvider.defaultValue},$oA=function(){function A(A,e){var t;void 0===e&&(e={});var r=w(w({},XoA),e),n=qoA(),i={actions:n.actions,behaviors:S(S([],n.behaviors,!0),r.extensions.map((function(A){return WoA[A]})),!0),animations:S([],n.animations||[],!0),customParamEditors:n.customParamEditors,customFormats:null==r?void 0:r.customFormats,layout:{initial:{isExpanded:r.layoutIsExpanded,showControls:r.layoutShowControls,controlsDisplay:r.layoutControlsDisplay,regionState:{bottom:"full",left:r.collapseLeftPanel?"collapsed":"full",right:r.collapseRightPanel?"hidden":"full",top:"full"}}},components:w(w({},n.components),{controls:w(w({},null===(t=n.components)||void 0===t?void 0:t.controls),{top:r.layoutShowSequence?void 0:"none",bottom:r.layoutShowLog?void 0:"none",left:r.layoutShowLeftPanel?void 0:"none"}),remoteState:r.layoutShowRemoteState?"default":"none"}),config:[[SL.General.DisableAntialiasing,r.disableAntialiasing],[SL.General.PixelScale,r.pixelScale],[SL.General.PickScale,r.pickScale],[SL.General.PickPadding,r.pickPadding],[SL.General.EnableWboit,r.enableWboit],[SL.Viewport.ShowExpand,r.viewportShowExpand],[SL.Viewport.ShowControls,r.viewportShowControls],[SL.Viewport.ShowSettings,r.viewportShowSettings],[SL.Viewport.ShowSelectionMode,r.viewportShowSelectionMode],[SL.Viewport.ShowAnimation,r.viewportShowAnimation],[SL.State.DefaultServer,r.pluginStateServer],[SL.State.CurrentServer,r.pluginStateServer],[SL.VolumeStreaming.DefaultServer,r.volumeStreamingServer],[SL.VolumeStreaming.Enabled,!r.volumeStreamingDisabled],[SL.Download.DefaultPdbProvider,r.pdbProvider],[SL.Download.DefaultEmdbProvider,r.emdbProvider]]},o="string"==typeof A?document.getElementById(A):A;if(!o)throw new Error("Could not get element with id '".concat(A,"'"));this.plugin=function(A,e){var t=new RoA(e||qoA());return t.init(),e3.render(mq.createElement(x5,{plugin:t}),A),t}(o,i)}return A.prototype.setRemoteSnapshot=function(A){var e="".concat(this.plugin.config.get(SL.State.CurrentServer),"/get/").concat(A);return sV.State.Snapshots.Fetch(this.plugin,{url:e})},A.prototype.loadSnapshotFromUrl=function(A,e){return sV.State.Snapshots.OpenUrl(this.plugin,{url:A,type:e})},A.prototype.loadStructureFromUrl=function(A,e,t,r){void 0===e&&(e="mmcif"),void 0===t&&(t=!1);var n=T2.createDefaultParams(this.plugin.state.data.root.obj,this.plugin);return this.plugin.runTask(this.plugin.state.data.applyAction(T2,{source:{name:"url",params:{url:$t.Url(A),format:e,isBinary:t,options:w(w({},n.source.params.options),{representationParams:null==r?void 0:r.representationParams})}}}))},A.prototype.loadAllModelsOrAssemblyFromUrl=function(A,e,t,r){return void 0===e&&(e="mmcif"),void 0===t&&(t=!1),F(this,void 0,void 0,(function(){var n,i,o;return U(this,(function(a){switch(a.label){case 0:return[4,(n=this.plugin).builders.data.download({url:A,isBinary:t},{state:{isGhost:!0}})];case 1:return i=a.sent(),[4,n.builders.structure.parseTrajectory(i,e)];case 2:return o=a.sent(),[4,this.plugin.builders.structure.hierarchy.applyPreset(o,"all-models",{useDefaultIfSingleModel:!0,representationPresetParams:null==r?void 0:r.representationParams})];case 3:return a.sent(),[2]}}))}))},A.prototype.loadStructureFromData=function(A,e,t){return F(this,void 0,void 0,(function(){var r,n;return U(this,(function(i){switch(i.label){case 0:return[4,this.plugin.builders.data.rawData({data:A,label:null==t?void 0:t.dataLabel})];case 1:return r=i.sent(),[4,this.plugin.builders.structure.parseTrajectory(r,e)];case 2:return n=i.sent(),[4,this.plugin.builders.structure.hierarchy.applyPreset(n,"default")];case 3:return i.sent(),[2]}}))}))},A.prototype.loadPdb=function(A,e){var t=T2.createDefaultParams(this.plugin.state.data.root.obj,this.plugin),r=this.plugin.config.get(SL.Download.DefaultPdbProvider);return this.plugin.runTask(this.plugin.state.data.applyAction(T2,{source:{name:"pdb",params:{provider:{id:A,server:{name:r,params:V2[r].defaultValue}},options:w(w({},t.source.params.options),{representationParams:null==e?void 0:e.representationParams})}}}))},A.prototype.loadPdbDev=function(A){var e=T2.createDefaultParams(this.plugin.state.data.root.obj,this.plugin);return this.plugin.runTask(this.plugin.state.data.applyAction(T2,{source:{name:"pdb-dev",params:{provider:{id:A,encoding:"bcif"},options:e.source.params.options}}}))},A.prototype.loadEmdb=function(A,e){var t,r=this.plugin.config.get(SL.Download.DefaultEmdbProvider);return this.plugin.runTask(this.plugin.state.data.applyAction(W2,{source:{name:"pdb-emd-ds",params:{provider:{id:A,server:r},detail:null!==(t=null==e?void 0:e.detail)&&void 0!==t?t:3}}}))},A.prototype.loadVolumeFromUrl=function(A,e,t){var r=A.url,n=A.format,i=A.isBinary;return F(this,void 0,void 0,(function(){var A,o,a=this;return U(this,(function(s){if(!(A=this.plugin).dataFormats.get(n))throw new Error("Unknown density format: ".concat(n));return(null==t?void 0:t.isLazy)?((o=this.plugin.build()).toRoot().apply(wM.Data.LazyVolume,{url:r,format:n,entryId:null==t?void 0:t.entryId,isBinary:i,isovalues:e.map((function(A){return w({alpha:1,volumeIndex:0},A)}))}),[2,o.commit()]):[2,A.dataTransaction((function(){return F(a,void 0,void 0,(function(){var o,a,s,u,g,c,B,l,Q,I,d;return U(this,(function(h){switch(h.label){case 0:return[4,A.builders.data.download({url:r,isBinary:i},{state:{isGhost:!0}})];case 1:return o=h.sent(),[4,A.dataFormats.get(n).parse(A,o,{entryId:null==t?void 0:t.entryId})];case 2:if(a=h.sent(),!(null==(s=a.volume||a.volumes[0])?void 0:s.isOk))throw new Error("Failed to parse any volume.");for(u=A.build(),g=0,c=e;g<c.length;g++)B=c[g],u.to(null!==(I=null===(l=a.volumes)||void 0===l?void 0:l[null!==(Q=B.volumeIndex)&&void 0!==Q?Q:0])&&void 0!==I?I:a.volume).apply(wM.Representation.VolumeRepresentation3D,$2(this.plugin,s.data,{type:"isosurface",typeParams:{alpha:null!==(d=B.alpha)&&void 0!==d?d:1,isoValue:"absolute"===B.type?{kind:"absolute",absoluteValue:B.value}:{kind:"relative",relativeValue:B.value}},color:"uniform",colorParams:{value:B.color}}));return[4,u.commit()];case 3:return h.sent(),[2]}}))}))}))]}))}))},A.prototype.loadTrajectory=function(A){var e,t;return F(this,void 0,void 0,(function(){var r,n,i,o,a,s,u,g,c,B;return U(this,(function(l){switch(l.label){case 0:return r=this.plugin,"model-data"!==A.model.kind&&"model-url"!==A.model.kind?[3,7]:"model-data"!==A.model.kind?[3,2]:[4,r.builders.data.rawData({data:A.model.data,label:A.modelLabel})];case 1:return o=l.sent(),[3,4];case 2:return[4,r.builders.data.download({url:A.model.url,isBinary:A.model.isBinary,label:A.modelLabel})];case 3:o=l.sent(),l.label=4;case 4:return u=o,[4,r.builders.structure.parseTrajectory(u,null!==(e=A.model.format)&&void 0!==e?e:"mmcif")];case 5:return a=l.sent(),[4,r.builders.structure.createModel(a)];case 6:return n=l.sent(),[3,13];case 7:return"topology-data"!==A.model.kind?[3,9]:[4,r.builders.data.rawData({data:A.model.data,label:A.modelLabel})];case 8:return s=l.sent(),[3,11];case 9:return[4,r.builders.data.download({url:A.model.url,isBinary:A.model.isBinary,label:A.modelLabel})];case 10:s=l.sent(),l.label=11;case 11:return u=s,[4,r.dataFormats.get(A.model.format).parse(r,u)];case 12:n=l.sent(),l.label=13;case 13:return"coordinates-data"!==A.coordinates.kind?[3,15]:[4,r.builders.data.rawData({data:A.coordinates.data,label:A.coordinatesLabel})];case 14:return g=l.sent(),[3,17];case 15:return[4,r.builders.data.download({url:A.coordinates.url,isBinary:A.coordinates.isBinary,label:A.coordinatesLabel})];case 16:g=l.sent(),l.label=17;case 17:return u=g,[4,r.dataFormats.get(A.coordinates.format).parse(r,u)];case 18:return i=l.sent(),[4,r.build().toRoot().apply(fF,{modelRef:n.ref,coordinatesRef:i.ref},{dependsOn:[n.ref,i.ref]}).commit()];case 19:return c=l.sent(),[4,r.builders.structure.hierarchy.applyPreset(c,null!==(t=A.preset)&&void 0!==t?t:"default")];case 20:return B=l.sent(),[2,{model:n,coords:i,preset:B}]}}))}))},A.prototype.handleResize=function(){this.plugin.layout.events.updated.next(void 0)},A}()})(),r})()}));
\ No newline at end of file
diff --git a/spaces/Nee001/bing0/src/lib/bots/bing/sr.ts b/spaces/Nee001/bing0/src/lib/bots/bing/sr.ts
deleted file mode 100644
index 7cae14da7362bd6cc1e234851c11ca67e5a99f0c..0000000000000000000000000000000000000000
--- a/spaces/Nee001/bing0/src/lib/bots/bing/sr.ts
+++ /dev/null
@@ -1,106 +0,0 @@
-// @ts-ignore
-const SpeechRecognitionPolyfill: typeof webkitSpeechRecognition = typeof window !== 'undefined' ? (
-  // @ts-ignore
-  window.SpeechRecognition ||
-  window.webkitSpeechRecognition ||
-  // @ts-ignore
-  window.mozSpeechRecognition ||
-  // @ts-ignore
-  window.msSpeechRecognition ||
-  // @ts-ignore
-  window.oSpeechRecognition
-) as typeof webkitSpeechRecognition : undefined
-
-type subscriber = (msg: string, command?: string) => void
-
-export class SR {
-  recognition?: SpeechRecognition
-  onchange?: subscriber
-  transcript: boolean = false
-  listening: boolean = false
-  private commandsRe?: RegExp
-  constructor(commands: string[]) {
-    this.recognition = SpeechRecognitionPolyfill ? new SpeechRecognitionPolyfill() : undefined
-    if (!this.recognition) {
-      return
-    }
-    this.configuration('zh-CN')
-    if (commands.length) {
-      this.commandsRe = new RegExp(`^(${commands.join('|')})。?$`)
-    }
-    this.recognition.onresult = this.speechRecognition
-    this.recognition.onerror = (err) => {
-      console.log('err', err.error)
-      this.stop()
-    }
-    this.recognition.onend = () => {
-      if (this.recognition && this.listening) {
-        this.recognition.start()
-      }
-    }
-  }
-
-  speechRecognition = (event: SpeechRecognitionEvent) => {
-    if (!this.listening) return
-    for (var i = event.resultIndex; i < event.results.length; i++) {
-      let result = event.results[i]
-      if (result.isFinal) {
-        var alt = result[0]
-        const text = alt.transcript.trim()
-        if (this.commandsRe && this.commandsRe.test(text)) {
-          return this.onchange?.('', RegExp.$1)
-        }
-        if (!this.transcript) return
-        this.onchange?.(text)
-      }
-    }
-  }
-
-  private configuration = async (lang: string = 'zh-CN') => {
-    return new Promise((resolve) => {
-      if (this.recognition) {
-        this.recognition.continuous = true
-        this.recognition.lang = lang
-        this.recognition.onstart = resolve
-      }
-    })
-  }
-
-  start = async () => {
-    if (this.recognition && !this.listening) {
-      await this.recognition.start()
-      this.transcript = true
-      this.listening = true
-    }
-  }
-
-  stop = () => {
-    if (this.recognition) {
-      this.recognition.stop()
-      this.transcript = false
-      this.listening = false
-    }
-  }
-
-
-  pause = () => {
-    if (this.recognition) {
-      this.transcript = false
-    }
-  }
-
-  resume = () => {
-    if (this.recognition) {
-      this.transcript = true
-    }
-  }
-
-  abort = () => {
-    if (this.recognition && this.transcript) {
-      this.recognition.abort()
-      this.transcript = false
-      this.listening = false
-    }
-  }
-}
-
diff --git a/spaces/Nyari/Super-Resolution-Anime-Diffusion/RealESRGANv030/docs/FAQ.md b/spaces/Nyari/Super-Resolution-Anime-Diffusion/RealESRGANv030/docs/FAQ.md
deleted file mode 100644
index 843f4dd847487066a1c7c105c7292e2de0bd5f1a..0000000000000000000000000000000000000000
--- a/spaces/Nyari/Super-Resolution-Anime-Diffusion/RealESRGANv030/docs/FAQ.md
+++ /dev/null
@@ -1,10 +0,0 @@
-# FAQ
-
-1. **Q: How to select models?**<br>
-A: Please refer to [docs/model_zoo.md](docs/model_zoo.md)
-
-1. **Q: Can `face_enhance` be used for anime images/animation videos?**<br>
-A: No, it can only be used for real faces. It is recommended not to use this option for anime images/animation videos to save GPU memory.
-
-1. **Q: Error "slow_conv2d_cpu" not implemented for 'Half'**<br>
-A: In order to save GPU memory consumption and speed up inference, Real-ESRGAN uses half precision (fp16) during inference by default. However, some operators for half inference are not implemented in CPU mode. You need to add **`--fp32` option** for the commands. For example, `python inference_realesrgan.py -n RealESRGAN_x4plus.pth -i inputs --fp32`.
diff --git a/spaces/OAOA/DifFace/basicsr/archs/srvgg_arch.py b/spaces/OAOA/DifFace/basicsr/archs/srvgg_arch.py
deleted file mode 100644
index d8fe5ceb40ed9edd35d81ee17aff86f2e3d9adb4..0000000000000000000000000000000000000000
--- a/spaces/OAOA/DifFace/basicsr/archs/srvgg_arch.py
+++ /dev/null
@@ -1,70 +0,0 @@
-from torch import nn as nn
-from torch.nn import functional as F
-
-from basicsr.utils.registry import ARCH_REGISTRY
-
-
-@ARCH_REGISTRY.register(suffix='basicsr')
-class SRVGGNetCompact(nn.Module):
-    """A compact VGG-style network structure for super-resolution.
-
-    It is a compact network structure, which performs upsampling in the last layer and no convolution is
-    conducted on the HR feature space.
-
-    Args:
-        num_in_ch (int): Channel number of inputs. Default: 3.
-        num_out_ch (int): Channel number of outputs. Default: 3.
-        num_feat (int): Channel number of intermediate features. Default: 64.
-        num_conv (int): Number of convolution layers in the body network. Default: 16.
-        upscale (int): Upsampling factor. Default: 4.
-        act_type (str): Activation type, options: 'relu', 'prelu', 'leakyrelu'. Default: prelu.
-    """
-
-    def __init__(self, num_in_ch=3, num_out_ch=3, num_feat=64, num_conv=16, upscale=4, act_type='prelu'):
-        super(SRVGGNetCompact, self).__init__()
-        self.num_in_ch = num_in_ch
-        self.num_out_ch = num_out_ch
-        self.num_feat = num_feat
-        self.num_conv = num_conv
-        self.upscale = upscale
-        self.act_type = act_type
-
-        self.body = nn.ModuleList()
-        # the first conv
-        self.body.append(nn.Conv2d(num_in_ch, num_feat, 3, 1, 1))
-        # the first activation
-        if act_type == 'relu':
-            activation = nn.ReLU(inplace=True)
-        elif act_type == 'prelu':
-            activation = nn.PReLU(num_parameters=num_feat)
-        elif act_type == 'leakyrelu':
-            activation = nn.LeakyReLU(negative_slope=0.1, inplace=True)
-        self.body.append(activation)
-
-        # the body structure
-        for _ in range(num_conv):
-            self.body.append(nn.Conv2d(num_feat, num_feat, 3, 1, 1))
-            # activation
-            if act_type == 'relu':
-                activation = nn.ReLU(inplace=True)
-            elif act_type == 'prelu':
-                activation = nn.PReLU(num_parameters=num_feat)
-            elif act_type == 'leakyrelu':
-                activation = nn.LeakyReLU(negative_slope=0.1, inplace=True)
-            self.body.append(activation)
-
-        # the last conv
-        self.body.append(nn.Conv2d(num_feat, num_out_ch * upscale * upscale, 3, 1, 1))
-        # upsample
-        self.upsampler = nn.PixelShuffle(upscale)
-
-    def forward(self, x):
-        out = x
-        for i in range(0, len(self.body)):
-            out = self.body[i](out)
-
-        out = self.upsampler(out)
-        # add the nearest upsampled image, so that the network learns the residual
-        base = F.interpolate(x, scale_factor=self.upscale, mode='nearest')
-        out += base
-        return out
diff --git a/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/fairseq/optim/lr_scheduler/pass_through.py b/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/fairseq/optim/lr_scheduler/pass_through.py
deleted file mode 100644
index 2f93db328c1de9b268e8ee1c0c1cad558fd089aa..0000000000000000000000000000000000000000
--- a/spaces/OFA-Sys/OFA-Generic_Interface/fairseq/fairseq/optim/lr_scheduler/pass_through.py
+++ /dev/null
@@ -1,39 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-from dataclasses import dataclass
-
-from fairseq.dataclass import FairseqDataclass
-from fairseq.optim.lr_scheduler import FairseqLRScheduler, register_lr_scheduler
-
-
-@dataclass
-class PassThroughScheduleConfig(FairseqDataclass):
-    pass
-
-
-@register_lr_scheduler("pass_through", dataclass=PassThroughScheduleConfig)
-class PassThroughScheduleSchedule(FairseqLRScheduler):
-    """Delegate lr scheduling to the optimizer."""
-
-    def __init__(self, cfg: PassThroughScheduleConfig, optimizer):
-        super().__init__(cfg, optimizer)
-        assert (
-            hasattr(optimizer, "lr_scheduler") and optimizer.lr_scheduler is not None
-        ), "Pass-through schedule can only be used with optimizers with their own schedulers"
-
-    def state_dict(self):
-        return self.optimizer.lr_scheduler.state_dict()
-
-    def load_state_dict(self, state_dict):
-        self.optimizer.lr_scheduler.load_state_dict(state_dict)
-
-    def step_begin_epoch(self, epoch):
-        """Update the learning rate at the beginning of the given epoch."""
-        return self.optimizer.lr_scheduler.step_begin_epoch(epoch)
-
-    def step_update(self, num_updates):
-        """Update the learning rate after each update."""
-        return self.optimizer.lr_scheduler.step_update(num_updates)
diff --git a/spaces/OFA-Sys/OFA-Image_Caption/fairseq/examples/simultaneous_translation/models/convtransformer_simul_trans.py b/spaces/OFA-Sys/OFA-Image_Caption/fairseq/examples/simultaneous_translation/models/convtransformer_simul_trans.py
deleted file mode 100644
index 4a26422f650cf13ee7d4e8d2228b50ec49876fb8..0000000000000000000000000000000000000000
--- a/spaces/OFA-Sys/OFA-Image_Caption/fairseq/examples/simultaneous_translation/models/convtransformer_simul_trans.py
+++ /dev/null
@@ -1,204 +0,0 @@
-# Copyright (c) 2017-present, Facebook, Inc.
-# All rights reserved.
-#
-# This source code is licensed under the license found in the LICENSE file in
-# the root directory of this source tree. An additional grant of patent rights
-# can be found in the PATENTS file in the same directory.
-
-from fairseq import checkpoint_utils
-from fairseq.models import (
-    register_model,
-    register_model_architecture,
-)
-from fairseq.models.speech_to_text import (
-    ConvTransformerModel,
-    convtransformer_espnet,
-    ConvTransformerEncoder,
-)
-from fairseq.models.speech_to_text.modules.augmented_memory_attention import (
-    augmented_memory,
-    SequenceEncoder,
-    AugmentedMemoryConvTransformerEncoder,
-)
-
-from torch import nn, Tensor
-from typing import Dict, List
-from fairseq.models.speech_to_text.modules.emformer import NoSegAugmentedMemoryTransformerEncoderLayer
-
-@register_model("convtransformer_simul_trans")
-class SimulConvTransformerModel(ConvTransformerModel):
-    """
-    Implementation of the paper:
-
-    SimulMT to SimulST: Adapting Simultaneous Text Translation to
-    End-to-End Simultaneous Speech Translation
-
-    https://www.aclweb.org/anthology/2020.aacl-main.58.pdf
-    """
-
-    @staticmethod
-    def add_args(parser):
-        super(SimulConvTransformerModel, SimulConvTransformerModel).add_args(parser)
-        parser.add_argument(
-            "--train-monotonic-only",
-            action="store_true",
-            default=False,
-            help="Only train monotonic attention",
-        )
-
-    @classmethod
-    def build_decoder(cls, args, task, embed_tokens):
-        tgt_dict = task.tgt_dict
-
-        from examples.simultaneous_translation.models.transformer_monotonic_attention import (
-            TransformerMonotonicDecoder,
-        )
-
-        decoder = TransformerMonotonicDecoder(args, tgt_dict, embed_tokens)
-
-        if getattr(args, "load_pretrained_decoder_from", None):
-            decoder = checkpoint_utils.load_pretrained_component_from_model(
-                component=decoder, checkpoint=args.load_pretrained_decoder_from
-            )
-        return decoder
-
-
-@register_model_architecture(
-    "convtransformer_simul_trans", "convtransformer_simul_trans_espnet"
-)
-def convtransformer_simul_trans_espnet(args):
-    convtransformer_espnet(args)
-
-
-@register_model("convtransformer_augmented_memory")
-@augmented_memory
-class AugmentedMemoryConvTransformerModel(SimulConvTransformerModel):
-    @classmethod
-    def build_encoder(cls, args):
-        encoder = SequenceEncoder(args, AugmentedMemoryConvTransformerEncoder(args))
-
-        if getattr(args, "load_pretrained_encoder_from", None) is not None:
-            encoder = checkpoint_utils.load_pretrained_component_from_model(
-                component=encoder, checkpoint=args.load_pretrained_encoder_from
-            )
-
-        return encoder
-
-
-@register_model_architecture(
-    "convtransformer_augmented_memory", "convtransformer_augmented_memory"
-)
-def augmented_memory_convtransformer_espnet(args):
-    convtransformer_espnet(args)
-
-
-# ============================================================================ #
-#   Convtransformer
-#   with monotonic attention decoder
-#   with emformer encoder
-# ============================================================================ #
-
-
-class ConvTransformerEmformerEncoder(ConvTransformerEncoder):
-    def __init__(self, args):
-        super().__init__(args)
-        stride = self.conv_layer_stride(args)
-        trf_left_context = args.segment_left_context // stride
-        trf_right_context = args.segment_right_context // stride
-        context_config = [trf_left_context, trf_right_context]
-        self.transformer_layers = nn.ModuleList(
-            [
-                NoSegAugmentedMemoryTransformerEncoderLayer(
-                    input_dim=args.encoder_embed_dim,
-                    num_heads=args.encoder_attention_heads,
-                    ffn_dim=args.encoder_ffn_embed_dim,
-                    num_layers=args.encoder_layers,
-                    dropout_in_attn=args.dropout,
-                    dropout_on_attn=args.dropout,
-                    dropout_on_fc1=args.dropout,
-                    dropout_on_fc2=args.dropout,
-                    activation_fn=args.activation_fn,
-                    context_config=context_config,
-                    segment_size=args.segment_length,
-                    max_memory_size=args.max_memory_size,
-                    scaled_init=True,  # TODO: use constant for now.
-                    tanh_on_mem=args.amtrf_tanh_on_mem,
-                )
-            ]
-        )
-        self.conv_transformer_encoder = ConvTransformerEncoder(args)
-
-    def forward(self, src_tokens, src_lengths):
-        encoder_out: Dict[str, List[Tensor]] = self.conv_transformer_encoder(src_tokens, src_lengths.to(src_tokens.device))
-        output = encoder_out["encoder_out"][0]
-        encoder_padding_masks = encoder_out["encoder_padding_mask"]
-
-        return {
-            "encoder_out": [output],
-            # This is because that in the original implementation
-            # the output didn't consider the last segment as right context.
-            "encoder_padding_mask": [encoder_padding_masks[0][:, : output.size(0)]] if len(encoder_padding_masks) > 0
-            else [],
-            "encoder_embedding": [],
-            "encoder_states": [],
-            "src_tokens": [],
-            "src_lengths": [],
-        }
-
-    @staticmethod
-    def conv_layer_stride(args):
-        # TODO: make it configurable from the args
-        return 4
-
-
-@register_model("convtransformer_emformer")
-class ConvtransformerEmformer(SimulConvTransformerModel):
-    @staticmethod
-    def add_args(parser):
-        super(ConvtransformerEmformer, ConvtransformerEmformer).add_args(parser)
-
-        parser.add_argument(
-            "--segment-length",
-            type=int,
-            metavar="N",
-            help="length of each segment (not including left context / right context)",
-        )
-        parser.add_argument(
-            "--segment-left-context",
-            type=int,
-            help="length of left context in a segment",
-        )
-        parser.add_argument(
-            "--segment-right-context",
-            type=int,
-            help="length of right context in a segment",
-        )
-        parser.add_argument(
-            "--max-memory-size",
-            type=int,
-            default=-1,
-            help="Right context for the segment.",
-        )
-        parser.add_argument(
-            "--amtrf-tanh-on-mem",
-            default=False,
-            action="store_true",
-            help="whether to use tanh on memory vector",
-        )
-
-    @classmethod
-    def build_encoder(cls, args):
-        encoder = ConvTransformerEmformerEncoder(args)
-        if getattr(args, "load_pretrained_encoder_from", None):
-            encoder = checkpoint_utils.load_pretrained_component_from_model(
-                component=encoder, checkpoint=args.load_pretrained_encoder_from
-            )
-        return encoder
-
-
-@register_model_architecture(
-    "convtransformer_emformer",
-    "convtransformer_emformer",
-)
-def convtransformer_emformer_base(args):
-    convtransformer_espnet(args)
diff --git a/spaces/OFA-Sys/OFA-vqa/fairseq/fairseq/models/fconv_self_att.py b/spaces/OFA-Sys/OFA-vqa/fairseq/fairseq/models/fconv_self_att.py
deleted file mode 100644
index 8357ef7847ed25a62345e219c41906156828c233..0000000000000000000000000000000000000000
--- a/spaces/OFA-Sys/OFA-vqa/fairseq/fairseq/models/fconv_self_att.py
+++ /dev/null
@@ -1,674 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-import logging
-import math
-import os
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-from fairseq import checkpoint_utils
-from fairseq.incremental_decoding_utils import with_incremental_state
-from fairseq.models import (
-    CompositeEncoder,
-    FairseqDecoder,
-    FairseqEncoder,
-    FairseqEncoderDecoderModel,
-    register_model,
-    register_model_architecture,
-)
-from fairseq.modules import (
-    DownsampledMultiHeadAttention,
-    FairseqDropout,
-    GradMultiply,
-    LayerNorm,
-    LearnedPositionalEmbedding,
-    LinearizedConvolution,
-)
-
-
-logger = logging.getLogger(__name__)
-
-
-@register_model("fconv_self_att")
-class FConvModelSelfAtt(FairseqEncoderDecoderModel):
-    @classmethod
-    def hub_models(cls):
-        return {
-            "conv.stories.pretrained": {
-                "path": "https://dl.fbaipublicfiles.com/fairseq/models/stories_checkpoint.tar.gz",
-                "checkpoint_file": "pretrained_checkpoint.pt",
-                "tokenizer": "nltk",
-            },
-            "conv.stories": {
-                "path": "https://dl.fbaipublicfiles.com/fairseq/models/stories_checkpoint.tar.gz",
-                "checkpoint_file": "fusion_checkpoint.pt",
-                "tokenizer": "nltk",
-                "pretrained": "True",
-                "pretrained_checkpoint": "./pretrained_checkpoint.pt",
-            },
-            # Test set containing dictionaries
-            "data.stories": "https://dl.fbaipublicfiles.com/fairseq/data/stories_test.tar.bz2",
-        }
-
-    def __init__(self, encoder, decoder, pretrained_encoder=None):
-        super().__init__(encoder, decoder)
-        self.encoder.num_attention_layers = sum(
-            layer is not None for layer in decoder.attention
-        )
-        self.pretrained_encoder = pretrained_encoder
-        if self.pretrained_encoder is None:
-            encoders = {"encoder": encoder}
-        else:
-            encoders = {"encoder": encoder, "pretrained": self.pretrained_encoder}
-        # for fusion model, CompositeEncoder contains both pretrained and training encoders
-        # these are forwarded and then combined in the decoder
-        self.encoder = CompositeEncoder(encoders)
-
-    @staticmethod
-    def add_args(parser):
-        """Add model-specific arguments to the parser."""
-        # fmt: off
-        parser.add_argument('--dropout', type=float, metavar='D',
-                            help='dropout probability')
-        parser.add_argument('--encoder-embed-dim', type=int, metavar='N',
-                            help='encoder embedding dimension')
-        parser.add_argument('--encoder-layers', type=str, metavar='EXPR',
-                            help='encoder layers [(dim, kernel_size), ...]')
-        parser.add_argument('--decoder-embed-dim', type=int, metavar='N',
-                            help='decoder embedding dimension')
-        parser.add_argument('--decoder-layers', type=str, metavar='EXPR',
-                            help='decoder layers [(dim, kernel_size), ...]')
-        parser.add_argument('--decoder-out-embed-dim', type=int, metavar='N',
-                            help='decoder output embedding dimension')
-        parser.add_argument('--decoder-attention', type=str, metavar='EXPR',
-                            help='decoder attention [True, ...]')
-        parser.add_argument('--self-attention', type=str, metavar='EXPR',
-                            help='decoder self-attention layers, ex: [True] + [False]*5')
-        parser.add_argument('--multihead-attention-nheads', type=int,
-                            help='Number of heads to use in attention')
-        parser.add_argument('--multihead-self-attention-nheads', type=int,
-                            help='Number of heads to use in self-attention')
-        parser.add_argument('--encoder-attention', type=str, metavar='EXPR',
-                            help='encoder attention [True, ...]')
-        parser.add_argument('--encoder-attention-nheads', type=int,
-                            help='Number of heads to use in encoder attention')
-        parser.add_argument('--project-input', type=str, metavar='EXPR',
-                            help='Use projections in self-attention [True, ...]')
-        parser.add_argument('--gated-attention', type=str, metavar='EXPR',
-                            help='Use GLU layers in self-attention projections [True, ...]')
-        parser.add_argument('--downsample', type=str, metavar='EXPR',
-                            help='Use downsampling in self-attention [True, ...]')
-        parser.add_argument('--pretrained-checkpoint', metavar='DIR',
-                            help='path to load checkpoint from pretrained model')
-        parser.add_argument('--pretrained', type=str, metavar='EXPR',
-                            help='use pretrained model when training [True, ...]')
-        # fmt: on
-
-    @classmethod
-    def build_model(cls, args, task):
-        """Build a new model instance."""
-        trained_encoder, trained_decoder = None, None
-        pretrained = eval(args.pretrained)
-        if pretrained:
-            logger.info("loading pretrained model")
-            if not os.path.exists(args.pretrained_checkpoint):
-                new_pretrained_checkpoint = os.path.join(
-                    args.data, args.pretrained_checkpoint
-                )
-                if os.path.exists(new_pretrained_checkpoint):
-                    args.pretrained_checkpoint = new_pretrained_checkpoint
-            trained_model = checkpoint_utils.load_model_ensemble(
-                filenames=[args.pretrained_checkpoint],
-                task=task,
-            )[0][0]
-            trained_decoder = list(trained_model.children())[1]
-            trained_encoder = list(trained_model.children())[0]
-
-            # freeze pretrained model
-            for param in trained_decoder.parameters():
-                param.requires_grad = False
-            for param in trained_encoder.parameters():
-                param.requires_grad = False
-
-        encoder = FConvEncoder(
-            task.source_dictionary,
-            embed_dim=args.encoder_embed_dim,
-            convolutions=eval(args.encoder_layers),
-            dropout=args.dropout,
-            max_positions=args.max_source_positions,
-            attention=eval(args.encoder_attention),
-            attention_nheads=args.encoder_attention_nheads,
-        )
-
-        decoder = FConvDecoder(
-            task.target_dictionary,
-            embed_dim=args.decoder_embed_dim,
-            convolutions=eval(args.decoder_layers),
-            out_embed_dim=args.decoder_out_embed_dim,
-            attention=eval(args.decoder_attention),
-            dropout=args.dropout,
-            max_positions=args.max_target_positions,
-            selfattention=eval(args.self_attention),
-            attention_nheads=args.multihead_attention_nheads,
-            selfattention_nheads=args.multihead_self_attention_nheads,
-            project_input=eval(args.project_input),
-            gated_attention=eval(args.gated_attention),
-            downsample=eval(args.downsample),
-            pretrained=pretrained,
-            trained_decoder=trained_decoder,
-        )
-        model = FConvModelSelfAtt(encoder, decoder, trained_encoder)
-
-        return model
-
-    @property
-    def pretrained(self):
-        return self.pretrained_encoder is not None
-
-
-class FConvEncoder(FairseqEncoder):
-    """Convolutional encoder"""
-
-    def __init__(
-        self,
-        dictionary,
-        embed_dim=512,
-        max_positions=1024,
-        convolutions=((512, 3),) * 20,
-        dropout=0.1,
-        attention=False,
-        attention_nheads=1,
-    ):
-        super().__init__(dictionary)
-        self.dropout_module = FairseqDropout(
-            dropout, module_name=self.__class__.__name__
-        )
-        self.num_attention_layers = None
-
-        num_embeddings = len(dictionary)
-        self.padding_idx = dictionary.pad()
-        self.embed_tokens = Embedding(num_embeddings, embed_dim, self.padding_idx)
-        self.embed_positions = PositionalEmbedding(
-            max_positions,
-            embed_dim,
-            self.padding_idx,
-        )
-
-        def expand_bool_array(val):
-            if isinstance(val, bool):
-                # expand True into [True, True, ...] and do the same with False
-                return [val] * len(convolutions)
-            return val
-
-        attention = expand_bool_array(attention)
-
-        in_channels = convolutions[0][0]
-        self.fc1 = Linear(embed_dim, in_channels, dropout=dropout)
-        self.projections = nn.ModuleList()
-        self.convolutions = nn.ModuleList()
-        self.attention = nn.ModuleList()
-        self.attproj = nn.ModuleList()
-        for i, (out_channels, kernel_size) in enumerate(convolutions):
-            self.projections.append(
-                Linear(in_channels, out_channels)
-                if in_channels != out_channels
-                else None
-            )
-            self.convolutions.append(
-                ConvTBC(in_channels, out_channels * 2, kernel_size, dropout=dropout)
-            )
-
-            self.attention.append(
-                SelfAttention(out_channels, embed_dim, attention_nheads)
-                if attention[i]
-                else None
-            )
-            in_channels = out_channels
-
-        self.fc2 = Linear(in_channels, embed_dim)
-
-    def forward(self, src_tokens, src_lengths):
-        # embed tokens and positions
-        x = self.embed_tokens(src_tokens) + self.embed_positions(src_tokens)
-        x = self.dropout_module(x)
-        input_embedding = x.transpose(0, 1)
-
-        # project to size of convolution
-        x = self.fc1(x)
-
-        encoder_padding_mask = src_tokens.eq(self.padding_idx).t()  # -> T x B
-        if not encoder_padding_mask.any():
-            encoder_padding_mask = None
-
-        # B x T x C -> T x B x C
-        x = x.transpose(0, 1)
-
-        # temporal convolutions
-        for proj, conv, attention in zip(
-            self.projections, self.convolutions, self.attention
-        ):
-            residual = x if proj is None else proj(x)
-
-            if encoder_padding_mask is not None:
-                x = x.masked_fill(encoder_padding_mask.unsqueeze(-1), 0)
-
-            x = self.dropout_module(x)
-            padding_l = (conv.kernel_size[0] - 1) // 2
-            padding_r = conv.kernel_size[0] // 2
-            x = F.pad(x, (0, 0, 0, 0, padding_l, padding_r))
-            x = conv(x)
-            x = F.glu(x, dim=2)
-            if attention is not None:
-                x = attention(x)
-            x = (x + residual) * math.sqrt(0.5)
-
-        # T x B x C -> B x T x C
-        x = x.transpose(1, 0)
-
-        # project back to size of embedding
-        x = self.fc2(x)
-
-        if encoder_padding_mask is not None:
-            encoder_padding_mask = encoder_padding_mask.t()  # -> B x T
-            x = x.masked_fill(encoder_padding_mask.unsqueeze(-1), 0)
-
-        # scale gradients (this only affects backward, not forward)
-        x = GradMultiply.apply(x, 1.0 / (2.0 * self.num_attention_layers))
-
-        # add output to input embedding for attention
-        y = (x + input_embedding.transpose(0, 1)) * math.sqrt(0.5)
-
-        return {
-            "encoder_out": (x, y),
-            "encoder_padding_mask": encoder_padding_mask,  # B x T
-        }
-
-    def reorder_encoder_out(self, encoder_out, new_order):
-        encoder_out["encoder_out"] = tuple(
-            eo.index_select(0, new_order) for eo in encoder_out["encoder_out"]
-        )
-
-        if encoder_out["encoder_padding_mask"] is not None:
-            encoder_out["encoder_padding_mask"] = encoder_out[
-                "encoder_padding_mask"
-            ].index_select(0, new_order)
-
-        if "pretrained" in encoder_out:
-            encoder_out["pretrained"]["encoder_out"] = tuple(
-                eo.index_select(0, new_order)
-                for eo in encoder_out["pretrained"]["encoder_out"]
-            )
-
-        return encoder_out
-
-    def max_positions(self):
-        """Maximum input length supported by the encoder."""
-        return self.embed_positions.max_positions
-
-
-@with_incremental_state
-class FConvDecoder(FairseqDecoder):
-    """Convolutional decoder"""
-
-    def __init__(
-        self,
-        dictionary,
-        embed_dim=512,
-        out_embed_dim=256,
-        max_positions=1024,
-        convolutions=((512, 3),) * 8,
-        attention=True,
-        dropout=0.1,
-        selfattention=False,
-        attention_nheads=1,
-        selfattention_nheads=1,
-        project_input=False,
-        gated_attention=False,
-        downsample=False,
-        pretrained=False,
-        trained_decoder=None,
-    ):
-        super().__init__(dictionary)
-        self.register_buffer("version", torch.Tensor([2]))
-        self.pretrained = pretrained
-        self.pretrained_decoder = trained_decoder
-        self.dropout_module = FairseqDropout(
-            dropout, module_name=self.__class__.__name__
-        )
-        self.need_attn = True
-        in_channels = convolutions[0][0]
-
-        def expand_bool_array(val):
-            if isinstance(val, bool):
-                # expand True into [True, True, ...] and do the same with False
-                return [val] * len(convolutions)
-            return val
-
-        attention = expand_bool_array(attention)
-        selfattention = expand_bool_array(selfattention)
-
-        if not isinstance(attention, list) or len(attention) != len(convolutions):
-            raise ValueError(
-                "Attention is expected to be a list of booleans of "
-                "length equal to the number of layers."
-            )
-
-        num_embeddings = len(dictionary)
-        padding_idx = dictionary.pad()
-        self.embed_tokens = Embedding(num_embeddings, embed_dim, padding_idx)
-
-        self.embed_positions = PositionalEmbedding(
-            max_positions,
-            embed_dim,
-            padding_idx,
-        )
-
-        self.fc1 = Linear(embed_dim, in_channels, dropout=dropout)
-        self.projections = nn.ModuleList()
-        self.convolutions = nn.ModuleList()
-        self.attention = nn.ModuleList()
-        self.selfattention = nn.ModuleList()
-        self.attproj = nn.ModuleList()
-        for i, (out_channels, kernel_size) in enumerate(convolutions):
-            self.projections.append(
-                Linear(in_channels, out_channels)
-                if in_channels != out_channels
-                else None
-            )
-            self.convolutions.append(
-                LinearizedConv1d(
-                    in_channels,
-                    out_channels * 2,
-                    kernel_size,
-                    padding=(kernel_size - 1),
-                    dropout=dropout,
-                )
-            )
-
-            self.attention.append(
-                DownsampledMultiHeadAttention(
-                    out_channels,
-                    embed_dim,
-                    attention_nheads,
-                    project_input=project_input,
-                    gated=False,
-                    downsample=False,
-                )
-                if attention[i]
-                else None
-            )
-
-            self.attproj.append(
-                Linear(out_channels, embed_dim, dropout=dropout)
-                if attention[i]
-                else None
-            )
-            self.selfattention.append(
-                SelfAttention(
-                    out_channels,
-                    embed_dim,
-                    selfattention_nheads,
-                    project_input=project_input,
-                    gated=gated_attention,
-                    downsample=downsample,
-                )
-                if selfattention[i]
-                else None
-            )
-            in_channels = out_channels
-
-        self.fc2 = Linear(in_channels, out_embed_dim)
-        self.fc3 = Linear(out_embed_dim, num_embeddings, dropout=dropout)
-
-        # model fusion
-        if self.pretrained:
-            # independent gates are learned from the concatenated input
-            self.gate1 = nn.Sequential(
-                Linear(out_embed_dim * 2, out_embed_dim), nn.Sigmoid()
-            )
-            self.gate2 = nn.Sequential(
-                Linear(out_embed_dim * 2, out_embed_dim), nn.Sigmoid()
-            )
-            # pretrained and trained models are joined
-            self.joining = nn.Sequential(
-                Linear(out_embed_dim * 2, out_embed_dim * 2),
-                LayerNorm(out_embed_dim * 2),
-                nn.GLU(),
-                Linear(out_embed_dim, out_embed_dim * 2),
-                LayerNorm(out_embed_dim * 2),
-                nn.GLU(),
-                Linear(out_embed_dim, out_embed_dim),
-                LayerNorm(out_embed_dim),
-            )
-            # pretrained model contains an output layer that is nhid -> vocab size
-            # but the models are combined in their hidden state
-            # the hook stores the output of the pretrained model forward
-            self.pretrained_outputs = {}
-
-            def save_output():
-                def hook(a, b, output):
-                    self.pretrained_outputs["out"] = output
-
-                return hook
-
-            self.pretrained_decoder.fc2.register_forward_hook(save_output())
-
-    def forward(self, prev_output_tokens, encoder_out):
-        trained_encoder_out = encoder_out["pretrained"] if self.pretrained else None
-        encoder_out = encoder_out["encoder"]["encoder_out"]
-
-        encoder_a, encoder_b = self._split_encoder_out(encoder_out)
-
-        # embed positions
-        positions = self.embed_positions(prev_output_tokens)
-
-        # embed tokens and positions
-        x = self.embed_tokens(prev_output_tokens) + positions
-        x = self.dropout_module(x)
-        target_embedding = x.transpose(0, 1)
-
-        # project to size of convolution
-        x = self.fc1(x)
-
-        # B x T x C -> T x B x C
-        x = x.transpose(0, 1)
-
-        # temporal convolutions
-        avg_attn_scores = None
-        for proj, conv, attention, selfattention, attproj in zip(
-            self.projections,
-            self.convolutions,
-            self.attention,
-            self.selfattention,
-            self.attproj,
-        ):
-            residual = x if proj is None else proj(x)
-
-            x = self.dropout_module(x)
-            x = conv(x)
-            x = F.glu(x, dim=2)
-
-            # attention
-            if attention is not None:
-                r = x
-                x, attn_scores = attention(
-                    attproj(x) + target_embedding, encoder_a, encoder_b
-                )
-                x = x + r
-                if not self.training and self.need_attn:
-                    if avg_attn_scores is None:
-                        avg_attn_scores = attn_scores
-                    else:
-                        avg_attn_scores.add_(attn_scores)
-
-            if selfattention is not None:
-                x = selfattention(x)
-
-            x = (x + residual) * math.sqrt(0.5)
-
-        # T x B x C -> B x T x C
-        x = x.transpose(0, 1)
-
-        # project back to size of vocabulary
-        x = self.fc2(x)
-        x = self.dropout_module(x)
-        if not self.pretrained:
-            x = self.fc3(x)
-
-        # fusion gating
-        if self.pretrained:
-            trained_x, _ = self.pretrained_decoder.forward(
-                prev_output_tokens, trained_encoder_out
-            )
-            y = torch.cat([x, self.pretrained_outputs["out"]], dim=-1)
-            gate1 = self.gate1(y)
-            gate2 = self.gate2(y)
-            gated_x1 = gate1 * x
-            gated_x2 = gate2 * self.pretrained_outputs["out"]
-            fusion = torch.cat([gated_x1, gated_x2], dim=-1)
-            fusion = self.joining(fusion)
-            fusion_output = self.fc3(fusion)
-            return fusion_output, avg_attn_scores
-        else:
-            return x, avg_attn_scores
-
-    def max_positions(self):
-        """Maximum output length supported by the decoder."""
-        return self.embed_positions.max_positions
-
-    def make_generation_fast_(self, need_attn=False, **kwargs):
-        self.need_attn = need_attn
-
-    def _split_encoder_out(self, encoder_out):
-        """Split and transpose encoder outputs."""
-        # transpose only once to speed up attention layers
-        encoder_a, encoder_b = encoder_out
-        encoder_a = encoder_a.transpose(0, 1).contiguous()
-        encoder_b = encoder_b.transpose(0, 1).contiguous()
-        result = (encoder_a, encoder_b)
-        return result
-
-
-class SelfAttention(nn.Module):
-    def __init__(
-        self,
-        out_channels,
-        embed_dim,
-        num_heads,
-        project_input=False,
-        gated=False,
-        downsample=False,
-    ):
-        super().__init__()
-        self.attention = DownsampledMultiHeadAttention(
-            out_channels,
-            embed_dim,
-            num_heads,
-            dropout=0,
-            bias=True,
-            project_input=project_input,
-            gated=gated,
-            downsample=downsample,
-        )
-        self.in_proj_q = Linear(out_channels, embed_dim)
-        self.in_proj_k = Linear(out_channels, embed_dim)
-        self.in_proj_v = Linear(out_channels, embed_dim)
-        self.ln = LayerNorm(out_channels)
-
-    def forward(self, x):
-        residual = x
-        query = self.in_proj_q(x)
-        key = self.in_proj_k(x)
-        value = self.in_proj_v(x)
-        x, _ = self.attention(
-            query, key, value, mask_future_timesteps=True, use_scalar_bias=True
-        )
-        return self.ln(x + residual)
-
-
-def Embedding(num_embeddings, embedding_dim, padding_idx):
-    m = nn.Embedding(num_embeddings, embedding_dim, padding_idx=padding_idx)
-    m.weight.data.normal_(0, 0.1)
-    return m
-
-
-def PositionalEmbedding(num_embeddings, embedding_dim, padding_idx):
-    m = LearnedPositionalEmbedding(num_embeddings, embedding_dim, padding_idx)
-    m.weight.data.normal_(0, 0.1)
-    return m
-
-
-def Linear(in_features, out_features, dropout=0.0):
-    """Weight-normalized Linear layer (input: N x T x C)"""
-    m = nn.Linear(in_features, out_features)
-    m.weight.data.normal_(mean=0, std=math.sqrt((1 - dropout) / in_features))
-    m.bias.data.zero_()
-    return m
-
-
-def LinearizedConv1d(in_channels, out_channels, kernel_size, dropout=0.0, **kwargs):
-    """Weight-normalized Conv1d layer optimized for decoding"""
-    m = LinearizedConvolution(in_channels, out_channels, kernel_size, **kwargs)
-    std = math.sqrt((4 * (1.0 - dropout)) / (m.kernel_size[0] * in_channels))
-    m.weight.data.normal_(mean=0, std=std)
-    m.bias.data.zero_()
-    return m
-
-
-def ConvTBC(in_channels, out_channels, kernel_size, dropout=0.0, **kwargs):
-    """Weight-normalized Conv1d layer"""
-    from fairseq.modules import ConvTBC
-
-    m = ConvTBC(in_channels, out_channels, kernel_size, **kwargs)
-    std = math.sqrt((4 * (1.0 - dropout)) / (m.kernel_size[0] * in_channels))
-    m.weight.data.normal_(mean=0, std=std)
-    m.bias.data.zero_()
-    return m
-
-
-@register_model_architecture("fconv_self_att", "fconv_self_att")
-def base_architecture(args):
-    args.dropout = getattr(args, "dropout", 0.1)
-    args.encoder_embed_dim = getattr(args, "encoder_embed_dim", 512)
-    args.encoder_layers = getattr(args, "encoder_layers", "[(512, 3)] * 3")
-    args.decoder_embed_dim = getattr(args, "decoder_embed_dim", 512)
-    args.decoder_layers = getattr(args, "decoder_layers", "[(512, 3)] * 8")
-    args.decoder_out_embed_dim = getattr(args, "decoder_out_embed_dim", 256)
-    args.decoder_attention = getattr(args, "decoder_attention", "True")
-    args.self_attention = getattr(args, "self_attention", "False")
-    args.encoder_attention = getattr(args, "encoder_attention", "False")
-    args.multihead_attention_nheads = getattr(args, "multihead_attention_nheads", 1)
-    args.multihead_self_attention_nheads = getattr(
-        args, "multihead_self_attention_nheads", 1
-    )
-    args.encoder_attention_nheads = getattr(args, "encoder_attention_nheads", 1)
-    args.project_input = getattr(args, "project_input", "False")
-    args.gated_attention = getattr(args, "gated_attention", "False")
-    args.downsample = getattr(args, "downsample", "False")
-    args.pretrained_checkpoint = getattr(args, "pretrained_checkpoint", "")
-    args.pretrained = getattr(args, "pretrained", "False")
-
-
-@register_model_architecture("fconv_self_att", "fconv_self_att_wp")
-def fconv_self_att_wp(args):
-    args.encoder_embed_dim = getattr(args, "encoder_embed_dim", 256)
-    args.encoder_layers = getattr(
-        args, "encoder_layers", "[(128, 3)] * 2 + [(512,3)] * 1"
-    )
-    args.decoder_embed_dim = getattr(args, "decoder_embed_dim", 256)
-    args.decoder_layers = getattr(
-        args, "decoder_layers", "[(512, 4)] * 4 + [(768, 4)] * 2 + [(1024, 4)] * 1"
-    )
-    args.decoder_out_embed_dim = getattr(args, "decoder_out_embed_dim", 256)
-    args.self_attention = getattr(args, "self_attention", "True")
-    args.multihead_self_attention_nheads = getattr(
-        args, "multihead_self_attention_nheads", 4
-    )
-    args.project_input = getattr(args, "project_input", "True")
-    args.gated_attention = getattr(args, "gated_attention", "True")
-    args.downsample = getattr(args, "downsample", "True")
-    base_architecture(args)
diff --git a/spaces/One-2-3-45/One-2-3-45/app.py b/spaces/One-2-3-45/One-2-3-45/app.py
deleted file mode 100644
index 711f6a0cdbaf1abb41769b1b90940d5fa8fd9729..0000000000000000000000000000000000000000
--- a/spaces/One-2-3-45/One-2-3-45/app.py
+++ /dev/null
@@ -1,785 +0,0 @@
-import os, sys
-import subprocess
-from huggingface_hub import snapshot_download
-
-is_local_run = False
-
-code_dir = snapshot_download("One-2-3-45/code") if not is_local_run else "../code" # , token=os.environ['TOKEN']
-
-sys.path.append(code_dir)
-
-elev_est_dir = os.path.abspath(os.path.join(code_dir, "one2345_elev_est"))
-sys.path.append(elev_est_dir)
-
-if not is_local_run:
-    # export TORCH_CUDA_ARCH_LIST="7.0;7.2;8.0;8.6"
-    # export IABN_FORCE_CUDA=1
-    os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6"
-    os.environ["IABN_FORCE_CUDA"] = "1"
-    os.environ["FORCE_CUDA"] = "1"
-    subprocess.run(['pip', 'install', 'inplace_abn'])
-    # FORCE_CUDA=1 pip install --no-cache-dir git+https://github.com/mit-han-lab/torchsparse.git@v1.4.0
-    subprocess.run(['pip', 'install', '--no-cache-dir', 'git+https://github.com/mit-han-lab/torchsparse.git@v1.4.0'])
-
-import shutil
-import torch
-import fire
-import gradio as gr
-import numpy as np
-import plotly.graph_objects as go
-from functools import partial
-
-import cv2
-from PIL import Image
-import trimesh
-import tempfile
-from zero123_utils import init_model, predict_stage1_gradio, zero123_infer
-from sam_utils import sam_init, sam_out_nosave
-from utils import image_preprocess_nosave, gen_poses
-from one2345_elev_est.tools.estimate_wild_imgs import estimate_elev
-from rembg import remove
-
-_GPU_INDEX = 0
-
-_TITLE = '''One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization'''
-
-
-_DESCRIPTION = '''
-<div>
-<a style="display:inline-block" href="http://one-2-3-45.com"><img src="https://img.shields.io/badge/Project_Homepage-f9f7f7?logo=data:image/webp;base64,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"></a>
-<a style="display:inline-block; margin-left: .5em" href="https://arxiv.org/abs/2306.16928"><img src="https://img.shields.io/badge/2306.16928-f9f7f7?logo=data:image/png;base64,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"></a>
-<a style="display:inline-block; margin-left: .5em" href='https://github.com/One-2-3-45/One-2-3-45'><img src='https://img.shields.io/github/stars/One-2-3-45/One-2-3-45?style=social' /></a>
-</div>
-We reconstruct a 3D textured mesh from a single image by initially predicting multi-view images and then lifting them to 3D. 
-'''
-_USER_GUIDE = "Please upload an image in the block above (or choose an example above) and click **Run Generation**." 
-_BBOX_1 = "Predicting bounding box for the input image..."
-_BBOX_2 = "Bounding box adjusted. Continue adjusting or **Run Generation**."
-_BBOX_3 = "Bounding box predicted. Adjust it using sliders or **Run Generation**."
-_SAM = "Preprocessing the input image... (safety check, SAM segmentation, *etc*.)"
-_GEN_1 = "Predicting multi-view images... (may take \~13 seconds) <br> Images will be shown in the bottom right blocks."
-_GEN_2 = "Predicting nearby views and generating mesh... (may take \~33 seconds) <br> Mesh will be shown on the right."
-_DONE = "Done! Mesh is shown on the right. <br> If it is not satisfactory, please select **Retry view** checkboxes for inaccurate views and click **Regenerate selected view(s)** at the bottom."
-_REGEN_1 = "Selected view(s) are regenerated. You can click **Regenerate nearby views and mesh**. <br> Alternatively, if the regenerated view(s) are still not satisfactory, you can repeat the previous step (select the view and regenerate)."
-_REGEN_2 = "Regeneration done. Mesh is shown on the right."
-
-
-def calc_cam_cone_pts_3d(polar_deg, azimuth_deg, radius_m, fov_deg):
-    '''
-    :param polar_deg (float).
-    :param azimuth_deg (float).
-    :param radius_m (float).
-    :param fov_deg (float).
-    :return (5, 3) array of float with (x, y, z).
-    '''
-    polar_rad = np.deg2rad(polar_deg)
-    azimuth_rad = np.deg2rad(azimuth_deg)
-    fov_rad = np.deg2rad(fov_deg)
-    polar_rad = -polar_rad  # NOTE: Inverse of how used_x relates to x.
-
-    # Camera pose center:
-    cam_x = radius_m * np.cos(azimuth_rad) * np.cos(polar_rad)
-    cam_y = radius_m * np.sin(azimuth_rad) * np.cos(polar_rad)
-    cam_z = radius_m * np.sin(polar_rad)
-
-    # Obtain four corners of camera frustum, assuming it is looking at origin.
-    # First, obtain camera extrinsics (rotation matrix only):
-    camera_R = np.array([[np.cos(azimuth_rad) * np.cos(polar_rad),
-                          -np.sin(azimuth_rad),
-                          -np.cos(azimuth_rad) * np.sin(polar_rad)],
-                         [np.sin(azimuth_rad) * np.cos(polar_rad),
-                          np.cos(azimuth_rad),
-                          -np.sin(azimuth_rad) * np.sin(polar_rad)],
-                         [np.sin(polar_rad),
-                          0.0,
-                          np.cos(polar_rad)]])
-
-    # Multiply by corners in camera space to obtain go to space:
-    corn1 = [-1.0, np.tan(fov_rad / 2.0), np.tan(fov_rad / 2.0)]
-    corn2 = [-1.0, -np.tan(fov_rad / 2.0), np.tan(fov_rad / 2.0)]
-    corn3 = [-1.0, -np.tan(fov_rad / 2.0), -np.tan(fov_rad / 2.0)]
-    corn4 = [-1.0, np.tan(fov_rad / 2.0), -np.tan(fov_rad / 2.0)]
-    corn1 = np.dot(camera_R, corn1)
-    corn2 = np.dot(camera_R, corn2)
-    corn3 = np.dot(camera_R, corn3)
-    corn4 = np.dot(camera_R, corn4)
-
-    # Now attach as offset to actual 3D camera position:
-    corn1 = np.array(corn1) / np.linalg.norm(corn1, ord=2)
-    corn_x1 = cam_x + corn1[0]
-    corn_y1 = cam_y + corn1[1]
-    corn_z1 = cam_z + corn1[2]
-    corn2 = np.array(corn2) / np.linalg.norm(corn2, ord=2)
-    corn_x2 = cam_x + corn2[0]
-    corn_y2 = cam_y + corn2[1]
-    corn_z2 = cam_z + corn2[2]
-    corn3 = np.array(corn3) / np.linalg.norm(corn3, ord=2)
-    corn_x3 = cam_x + corn3[0]
-    corn_y3 = cam_y + corn3[1]
-    corn_z3 = cam_z + corn3[2]
-    corn4 = np.array(corn4) / np.linalg.norm(corn4, ord=2)
-    corn_x4 = cam_x + corn4[0]
-    corn_y4 = cam_y + corn4[1]
-    corn_z4 = cam_z + corn4[2]
-
-    xs = [cam_x, corn_x1, corn_x2, corn_x3, corn_x4]
-    ys = [cam_y, corn_y1, corn_y2, corn_y3, corn_y4]
-    zs = [cam_z, corn_z1, corn_z2, corn_z3, corn_z4]
-
-    return np.array([xs, ys, zs]).T
-
-class CameraVisualizer:
-    def __init__(self, gradio_plot):
-        self._gradio_plot = gradio_plot
-        self._fig = None
-        self._polar = 0.0
-        self._azimuth = 0.0
-        self._radius = 0.0
-        self._raw_image = None
-        self._8bit_image = None
-        self._image_colorscale = None
-
-    def encode_image(self, raw_image, elev=90):
-        '''
-        :param raw_image (H, W, 3) array of uint8 in [0, 255].
-        '''
-        # https://stackoverflow.com/questions/60685749/python-plotly-how-to-add-an-image-to-a-3d-scatter-plot
-
-        dum_img = Image.fromarray(np.ones((3, 3, 3), dtype='uint8')).convert('P', palette='WEB')
-        idx_to_color = np.array(dum_img.getpalette()).reshape((-1, 3))
-
-        self._raw_image = raw_image
-        self._8bit_image = Image.fromarray(raw_image).convert('P', palette='WEB', dither=None)
-        self._image_colorscale = [
-            [i / 255.0, 'rgb({}, {}, {})'.format(*rgb)] for i, rgb in enumerate(idx_to_color)]
-        self._elev = elev
-
-    def update_figure(self):
-        fig = go.Figure()
-
-        if self._raw_image is not None:
-            (H, W, C) = self._raw_image.shape
-
-            x = np.zeros((H, W))
-            (y, z) = np.meshgrid(np.linspace(-1.0, 1.0, W), np.linspace(1.0, -1.0, H) * H / W)
-            
-            angle_deg = self._elev-90
-            angle = np.radians(90-self._elev)
-            rotation_matrix = np.array([
-                [np.cos(angle), 0, np.sin(angle)],
-                [0, 1, 0],
-                [-np.sin(angle), 0, np.cos(angle)]
-            ])
-            # Assuming x, y, z are the original 3D coordinates of the image
-            coordinates = np.stack((x, y, z), axis=-1)  # Combine x, y, z into a single array
-            # Apply the rotation matrix
-            rotated_coordinates = np.matmul(coordinates, rotation_matrix)
-            # Extract the new x, y, z coordinates from the rotated coordinates
-            x, y, z = rotated_coordinates[..., 0], rotated_coordinates[..., 1], rotated_coordinates[..., 2]
-
-            fig.add_trace(go.Surface(
-                x=x, y=y, z=z,
-                surfacecolor=self._8bit_image,
-                cmin=0,
-                cmax=255,
-                colorscale=self._image_colorscale,
-                showscale=False,
-                lighting_diffuse=1.0,
-                lighting_ambient=1.0,
-                lighting_fresnel=1.0,
-                lighting_roughness=1.0,
-                lighting_specular=0.3))
-
-            scene_bounds = 3.5
-            base_radius = 2.5
-            zoom_scale = 1.5  # Note that input radius offset is in [-0.5, 0.5].
-            fov_deg = 50.0
-            edges = [(0, 1), (0, 2), (0, 3), (0, 4), (1, 2), (2, 3), (3, 4), (4, 1)]
-
-            input_cone = calc_cam_cone_pts_3d(
-                angle_deg, 0.0, base_radius, fov_deg)  # (5, 3).
-            output_cone = calc_cam_cone_pts_3d(
-                self._polar, self._azimuth, base_radius + self._radius * zoom_scale, fov_deg)  # (5, 3).
-            output_cones = []
-            for i in range(1,4):
-                output_cones.append(calc_cam_cone_pts_3d(
-                    angle_deg, i*90, base_radius + self._radius * zoom_scale, fov_deg))
-            delta_deg = 30 if angle_deg <= -15 else -30
-            for i in range(4):
-                output_cones.append(calc_cam_cone_pts_3d(
-                    angle_deg+delta_deg, 30+i*90, base_radius + self._radius * zoom_scale, fov_deg))
-
-            cones = [(input_cone, 'rgb(174, 54, 75)', 'Input view (Predicted view 1)')]
-            for i in range(len(output_cones)):
-                cones.append((output_cones[i], 'rgb(32, 77, 125)', f'Predicted view {i+2}'))
-
-            for idx, (cone, clr, legend) in enumerate(cones):
-
-                for (i, edge) in enumerate(edges):
-                    (x1, x2) = (cone[edge[0], 0], cone[edge[1], 0])
-                    (y1, y2) = (cone[edge[0], 1], cone[edge[1], 1])
-                    (z1, z2) = (cone[edge[0], 2], cone[edge[1], 2])
-                    fig.add_trace(go.Scatter3d(
-                        x=[x1, x2], y=[y1, y2], z=[z1, z2], mode='lines',
-                        line=dict(color=clr, width=3),
-                        name=legend, showlegend=(i == 1) and (idx <= 1)))
-
-                # Add label.
-                if cone[0, 2] <= base_radius / 2.0:
-                    fig.add_trace(go.Scatter3d(
-                        x=[cone[0, 0]], y=[cone[0, 1]], z=[cone[0, 2] - 0.05], showlegend=False,
-                        mode='text', text=legend, textposition='bottom center'))
-                else:
-                    fig.add_trace(go.Scatter3d(
-                        x=[cone[0, 0]], y=[cone[0, 1]], z=[cone[0, 2] + 0.05], showlegend=False,
-                        mode='text', text=legend, textposition='top center'))
-
-            # look at center of scene
-            fig.update_layout(
-                height=450,
-                autosize=True,
-                hovermode=False,
-                margin=go.layout.Margin(l=0, r=0, b=0, t=0),
-                showlegend=False,
-                legend=dict(
-                    yanchor='bottom',
-                    y=0.01,
-                    xanchor='right',
-                    x=0.99,
-                ),
-                scene=dict(
-                    aspectmode='manual',
-                    aspectratio=dict(x=1, y=1, z=1.0),
-                    camera=dict(
-                        eye=dict(x=base_radius - 1.6, y=0.0, z=0.6),
-                        center=dict(x=0.0, y=0.0, z=0.0),
-                        up=dict(x=0.0, y=0.0, z=1.0)),
-                    xaxis_title='',
-                    yaxis_title='',
-                    zaxis_title='',
-                    xaxis=dict(
-                        range=[-scene_bounds, scene_bounds],
-                        showticklabels=False,
-                        showgrid=True,
-                        zeroline=False,
-                        showbackground=True,
-                        showspikes=False,
-                        showline=False,
-                        ticks=''),
-                    yaxis=dict(
-                        range=[-scene_bounds, scene_bounds],
-                        showticklabels=False,
-                        showgrid=True,
-                        zeroline=False,
-                        showbackground=True,
-                        showspikes=False,
-                        showline=False,
-                        ticks=''),
-                    zaxis=dict(
-                        range=[-scene_bounds, scene_bounds],
-                        showticklabels=False,
-                        showgrid=True,
-                        zeroline=False,
-                        showbackground=True,
-                        showspikes=False,
-                        showline=False,
-                        ticks='')))
-
-        self._fig = fig
-        return fig
-    
-
-def stage1_run(models, device, cam_vis, tmp_dir,
-               input_im, scale, ddim_steps, elev=None, rerun_all=[],
-               *btn_retrys):
-    is_rerun = True if cam_vis is None else False
-    model = models['turncam'].half()
-
-    stage1_dir = os.path.join(tmp_dir, "stage1_8")
-    if not is_rerun:
-        os.makedirs(stage1_dir, exist_ok=True)
-        output_ims = predict_stage1_gradio(model, input_im, save_path=stage1_dir, adjust_set=list(range(4)), device=device, ddim_steps=ddim_steps, scale=scale)
-        stage2_steps = 50 # ddim_steps
-        zero123_infer(model, tmp_dir, indices=[0], device=device, ddim_steps=stage2_steps, scale=scale)
-        try:
-            elev_output = int(estimate_elev(tmp_dir))
-        except:
-            print("Failed to estimate polar angle")
-            elev_output = 90
-        print("Estimated polar angle:", elev_output)
-        gen_poses(tmp_dir, elev_output)
-        show_in_im1 = np.asarray(input_im, dtype=np.uint8)
-        cam_vis.encode_image(show_in_im1, elev=elev_output)
-        new_fig = cam_vis.update_figure()
-
-        flag_lower_cam = elev_output <= 75
-        if flag_lower_cam:
-            output_ims_2 = predict_stage1_gradio(model, input_im, save_path=stage1_dir, adjust_set=list(range(4,8)), device=device, ddim_steps=ddim_steps, scale=scale)
-        else:
-            output_ims_2 = predict_stage1_gradio(model, input_im, save_path=stage1_dir, adjust_set=list(range(8,12)), device=device, ddim_steps=ddim_steps, scale=scale)
-        torch.cuda.empty_cache()
-        return (90-elev_output, new_fig, *output_ims, *output_ims_2)
-    else:
-        rerun_idx = [i for i in range(len(btn_retrys)) if btn_retrys[i]]
-        if 90-int(elev["label"]) > 75:
-            rerun_idx_in = [i if i < 4 else i+4 for i in rerun_idx]
-        else:
-            rerun_idx_in = rerun_idx
-        for idx in rerun_idx_in:
-            if idx not in rerun_all:
-                rerun_all.append(idx)
-        print("rerun_idx", rerun_all)
-        output_ims = predict_stage1_gradio(model, input_im, save_path=stage1_dir, adjust_set=rerun_idx_in, device=device, ddim_steps=ddim_steps, scale=scale)
-        outputs = [gr.update(visible=True)] * 8
-        for idx, view_idx in enumerate(rerun_idx):
-            outputs[view_idx] = output_ims[idx]
-        reset = [gr.update(value=False)] * 8
-        torch.cuda.empty_cache()
-        return (rerun_all, *reset, *outputs)
-    
-def stage2_run(models, device, tmp_dir,
-               elev, scale, is_glb=False, rerun_all=[], stage2_steps=50):
-    flag_lower_cam = 90-int(elev["label"]) <= 75
-    is_rerun = True if rerun_all else False
-    model = models['turncam'].half()
-    if not is_rerun:
-        if flag_lower_cam:
-            zero123_infer(model, tmp_dir, indices=list(range(1,8)), device=device, ddim_steps=stage2_steps, scale=scale)
-        else:
-            zero123_infer(model, tmp_dir, indices=list(range(1,4))+list(range(8,12)), device=device, ddim_steps=stage2_steps, scale=scale)
-    else:
-        print("rerun_idx", rerun_all)
-        zero123_infer(model, tmp_dir, indices=rerun_all, device=device, ddim_steps=stage2_steps, scale=scale)
-    
-    dataset = tmp_dir
-    main_dir_path = os.path.dirname(__file__)
-    torch.cuda.empty_cache()
-    os.chdir(os.path.join(code_dir, 'SparseNeuS_demo_v1/'))
-
-    bash_script = f'CUDA_VISIBLE_DEVICES={_GPU_INDEX} python exp_runner_generic_blender_val.py --specific_dataset_name {dataset} --mode export_mesh --conf confs/one2345_lod0_val_demo.conf'
-    print(bash_script)
-    os.system(bash_script)
-    os.chdir(main_dir_path)
-
-    ply_path = os.path.join(tmp_dir, f"meshes_val_bg/lod0/mesh_00215000_gradio_lod0.ply")
-    mesh_ext = ".glb" if is_glb else ".obj"
-    mesh_path = os.path.join(tmp_dir, f"mesh{mesh_ext}")
-    # Read the textured mesh from .ply file
-    mesh = trimesh.load_mesh(ply_path)
-    rotation_matrix = trimesh.transformations.rotation_matrix(np.pi/2, [1, 0, 0])
-    mesh.apply_transform(rotation_matrix)
-    rotation_matrix = trimesh.transformations.rotation_matrix(np.pi, [0, 0, 1])
-    mesh.apply_transform(rotation_matrix)
-    # flip x
-    mesh.vertices[:, 0] = -mesh.vertices[:, 0]
-    mesh.faces = np.fliplr(mesh.faces)
-    # Export the mesh as .obj file with colors
-    if not is_glb:
-        mesh.export(mesh_path, file_type='obj', include_color=True)
-    else:
-        mesh.export(mesh_path, file_type='glb')
-    torch.cuda.empty_cache()
-
-    if not is_rerun:
-        return (mesh_path)
-    else:
-        return (mesh_path, gr.update(value=[]), gr.update(visible=False), gr.update(visible=False))
-
-def nsfw_check(models, raw_im, device='cuda'):
-    safety_checker_input = models['clip_fe'](raw_im, return_tensors='pt').to(device)
-    (_, has_nsfw_concept) = models['nsfw'](
-        images=np.ones((1, 3)), clip_input=safety_checker_input.pixel_values)
-    del safety_checker_input
-    if np.any(has_nsfw_concept):
-        print('NSFW content detected.')
-        return Image.open("unsafe.png")
-    else:
-        print('Safety check passed.')
-        return False
-
-def preprocess_run(predictor, models, raw_im, preprocess, *bbox_sliders):
-    raw_im.thumbnail([512, 512], Image.Resampling.LANCZOS)
-    check_results = nsfw_check(models, raw_im, device=predictor.device)
-    if check_results:
-        return check_results
-    image_sam = sam_out_nosave(predictor, raw_im.convert("RGB"), *bbox_sliders)
-    input_256 = image_preprocess_nosave(image_sam, lower_contrast=preprocess, rescale=True)
-    torch.cuda.empty_cache()
-    return input_256
-
-def on_coords_slider(image, x_min, y_min, x_max, y_max, color=(88, 191, 131, 255)):
-    """Draw a bounding box annotation for an image."""
-    print("Slider adjusted, drawing bbox...")
-    image.thumbnail([512, 512], Image.Resampling.LANCZOS)
-    image_size = image.size
-    if max(image_size) > 224:
-        image.thumbnail([224, 224], Image.Resampling.LANCZOS)
-        shrink_ratio = max(image.size) / max(image_size)
-        x_min = int(x_min * shrink_ratio)
-        y_min = int(y_min * shrink_ratio)
-        x_max = int(x_max * shrink_ratio)
-        y_max = int(y_max * shrink_ratio)
-    image = cv2.cvtColor(np.array(image), cv2.COLOR_RGBA2BGRA)
-    image = cv2.rectangle(image, (x_min, y_min), (x_max, y_max), color, int(max(max(image.shape) / 400*2, 2)))
-    return cv2.cvtColor(image, cv2.COLOR_BGRA2RGBA) # image[:, :, ::-1]
-
-def init_bbox(image):
-    image.thumbnail([512, 512], Image.Resampling.LANCZOS)
-    width, height = image.size
-    image_rem = image.convert('RGBA')
-    image_nobg = remove(image_rem, alpha_matting=True)
-    arr = np.asarray(image_nobg)[:,:,-1]
-    x_nonzero = np.nonzero(arr.sum(axis=0))
-    y_nonzero = np.nonzero(arr.sum(axis=1))
-    x_min = int(x_nonzero[0].min())
-    y_min = int(y_nonzero[0].min())
-    x_max = int(x_nonzero[0].max())
-    y_max = int(y_nonzero[0].max())
-    image_mini = image.copy()
-    image_mini.thumbnail([224, 224], Image.Resampling.LANCZOS)
-    shrink_ratio = max(image_mini.size) / max(width, height)
-    x_min_shrink = int(x_min * shrink_ratio)
-    y_min_shrink = int(y_min * shrink_ratio)
-    x_max_shrink = int(x_max * shrink_ratio)
-    y_max_shrink = int(y_max * shrink_ratio)
-
-    return [on_coords_slider(image_mini, x_min_shrink, y_min_shrink, x_max_shrink, y_max_shrink),
-            gr.update(value=x_min, maximum=width),
-            gr.update(value=y_min, maximum=height),
-            gr.update(value=x_max, maximum=width),
-            gr.update(value=y_max, maximum=height)]
-
-### API functions
-def preprocess_api(predictor, raw_im):
-    raw_im.thumbnail([512, 512], Image.Resampling.LANCZOS)
-    image_rem = raw_im.convert('RGBA')
-    image_nobg = remove(image_rem, alpha_matting=True)
-    arr = np.asarray(image_nobg)[:,:,-1]
-    x_nonzero = np.nonzero(arr.sum(axis=0))
-    y_nonzero = np.nonzero(arr.sum(axis=1))
-    x_min = int(x_nonzero[0].min())
-    y_min = int(y_nonzero[0].min())
-    x_max = int(x_nonzero[0].max())
-    y_max = int(y_nonzero[0].max())
-    image_sam = sam_out_nosave(predictor, raw_im.convert("RGB"), x_min, y_min, x_max, y_max)
-    input_256 = image_preprocess_nosave(image_sam, lower_contrast=False, rescale=True)
-    torch.cuda.empty_cache()
-    return input_256
-
-def estimate_elev_api(models, device, predictor,
-               input_im, preprocess=True, scale=3, ddim_steps=50):
-    model = models['turncam'].half()
-    tmp_dir = tempfile.TemporaryDirectory(dir=os.path.join(os.path.dirname(__file__), 'demo_tmp')).name
-    stage1_dir = os.path.join(tmp_dir, "stage1_8")
-    os.makedirs(stage1_dir, exist_ok=True)
-    if preprocess:
-        input_im = preprocess_api(predictor, input_im)
-    input_image = input_im.convert("RGB")
-    output_ims = predict_stage1_gradio(model, input_image, save_path=stage1_dir, adjust_set=[0], device=device, ddim_steps=ddim_steps, scale=scale)
-    stage2_steps = 50 # ddim_steps
-    zero123_infer(model, tmp_dir, indices=[0], device=device, ddim_steps=stage2_steps, scale=scale)
-    try:
-        polar_angle = int(estimate_elev(tmp_dir))
-    except:
-        print("Failed to estimate polar angle")
-        polar_angle = 90
-    print("Estimated polar angle:", polar_angle)
-    return 90-polar_angle
-
-def convert_mesh_format(exp_dir, output_format=".obj"):
-    ply_path = os.path.join(exp_dir, f"meshes_val_bg/lod0/mesh_00215000_gradio_lod0.ply")
-    mesh_path = os.path.join(exp_dir, f"mesh{output_format}")
-    mesh = trimesh.load_mesh(ply_path)
-    rotation_matrix = trimesh.transformations.rotation_matrix(np.pi/2, [1, 0, 0]) @ trimesh.transformations.rotation_matrix(np.pi, [0, 0, 1])
-    mesh.apply_transform(rotation_matrix)
-    mesh.vertices[:, 0] = -mesh.vertices[:, 0]
-    mesh.faces = np.fliplr(mesh.faces)
-    if output_format == ".obj":
-        # Export the mesh as .obj file with colors
-        mesh.export(mesh_path, file_type='obj', include_color=True)
-    else:
-        mesh.export(mesh_path, file_type='glb')
-    return mesh_path
-    
-def reconstruct(exp_dir, output_format=".ply", device_idx=0):
-
-    main_dir_path = os.path.dirname(__file__)
-    torch.cuda.empty_cache()
-    os.chdir(os.path.join(code_dir, 'SparseNeuS_demo_v1/'))
-
-    bash_script = f'CUDA_VISIBLE_DEVICES={device_idx} python exp_runner_generic_blender_val.py \
-                    --specific_dataset_name {exp_dir} \
-                    --mode export_mesh \
-                    --conf confs/one2345_lod0_val_demo.conf'
-    print(bash_script)
-    os.system(bash_script)
-    os.chdir(main_dir_path)
-
-    ply_path = os.path.join(exp_dir, f"meshes_val_bg/lod0/mesh_00215000_gradio_lod0.ply")
-    if output_format == ".ply":
-        return ply_path
-    if output_format not in [".obj", ".glb"]:
-        print("Invalid output format, must be one of .ply, .obj, .glb")
-        return ply_path
-    return convert_mesh_format(exp_dir, output_format=output_format)
-
-def gen_mesh_api(models, predictor, device,
-               input_im, preprocess=True, scale=3, ddim_steps=75, stage2_steps=50):
-    if preprocess:
-        input_im = preprocess_api(predictor, input_im)
-    model = models['turncam'].half()
-    # folder to save the stage 1 images
-    exp_dir = tempfile.TemporaryDirectory(dir=os.path.join(os.path.dirname(__file__), 'demo_tmp')).name
-    stage1_dir = os.path.join(exp_dir, "stage1_8")
-    os.makedirs(stage1_dir, exist_ok=True)
-
-    # stage 1: generate 4 views at the same elevation as the input
-    output_ims = predict_stage1_gradio(model, input_im, save_path=stage1_dir, adjust_set=list(range(4)), device=device, ddim_steps=ddim_steps, scale=scale)
-    
-    # stage 2 for the first image
-    # infer 4 nearby views for an image to estimate the polar angle of the input
-    stage2_steps = 50 # ddim_steps
-    zero123_infer(model, exp_dir, indices=[0], device=device, ddim_steps=stage2_steps, scale=scale)
-    # estimate the camera pose (elevation) of the input image.
-    try:
-        polar_angle = int(estimate_elev(exp_dir))
-    except:
-        print("Failed to estimate polar angle")
-        polar_angle = 90
-    print("Estimated polar angle:", polar_angle)
-    gen_poses(exp_dir, polar_angle)
-
-    # stage 1: generate another 4 views at a different elevation
-    if polar_angle <= 75:
-        output_ims_2 = predict_stage1_gradio(model, input_im, save_path=stage1_dir, adjust_set=list(range(4,8)), device=device, ddim_steps=ddim_steps, scale=scale)
-    else:
-        output_ims_2 = predict_stage1_gradio(model, input_im, save_path=stage1_dir, adjust_set=list(range(8,12)), device=device, ddim_steps=ddim_steps, scale=scale)
-    torch.cuda.empty_cache()
-    # stage 2 for the remaining 7 images, generate 7*4=28 views
-    if polar_angle <= 75:
-        zero123_infer(model, exp_dir, indices=list(range(1,8)), device=device, ddim_steps=stage2_steps, scale=scale)
-    else:
-        zero123_infer(model, exp_dir, indices=list(range(1,4))+list(range(8,12)), device=device, ddim_steps=stage2_steps, scale=scale)
-    return reconstruct(exp_dir)
-
-
-def run_demo(
-        device_idx=_GPU_INDEX,
-        ckpt='zero123-xl.ckpt'):
-
-    device = f"cuda:{device_idx}" if torch.cuda.is_available() else "cpu"
-    models = init_model(device, os.path.join(code_dir, ckpt))
-
-    # init sam model
-    predictor = sam_init(device_idx)
-
-    with open('instructions_12345.md', 'r') as f:
-        article = f.read()
-
-    example_folder = os.path.join(os.path.dirname(__file__), 'demo_examples')
-    example_fns = os.listdir(example_folder)
-    example_fns.sort()
-    examples_full = [os.path.join(example_folder, x) for x in example_fns if x.endswith('.png')]
-
-    # Compose demo layout & data flow.
-    with gr.Blocks(title=_TITLE, css="style.css") as demo:
-        with gr.Row():
-            with gr.Column(scale=1):
-                gr.Markdown('# ' + _TITLE)
-            with gr.Column(scale=0):
-                gr.DuplicateButton(value='Duplicate Space for private use',
-                            elem_id='duplicate-button')
-        gr.Markdown(_DESCRIPTION)
-
-        with gr.Row(variant='panel'):
-            with gr.Column(scale=6):
-                image_block = gr.Image(type='pil', image_mode='RGBA', height=290, label='Input image', tool=None)
-
-                gr.Examples(
-                    examples=examples_full,
-                    inputs=[image_block],
-                    outputs=[image_block],
-                    cache_examples=False,
-                    label='Examples (click one of the images below to start)',
-                    examples_per_page=40
-                )
-                preprocess_chk = gr.Checkbox(
-                        False, label='Reduce image contrast (mitigate shadows on the backside)')
-                with gr.Accordion('Advanced options', open=False):
-                    scale_slider = gr.Slider(0, 30, value=3, step=1,
-                                             label='Diffusion guidance scale')
-                    steps_slider = gr.Slider(5, 200, value=75, step=5,
-                                             label='Number of diffusion inference steps')
-                    glb_chk = gr.Checkbox(
-                        False, label='Export the mesh in .glb format')
-
-                run_btn = gr.Button('Run Generation', variant='primary', interactive=False)
-                guide_text = gr.Markdown(_USER_GUIDE, visible=True)
-                
-            with gr.Column(scale=4):
-                with gr.Row():
-                    bbox_block = gr.Image(type='pil', label="Bounding box", height=290, interactive=False)
-                    sam_block = gr.Image(type='pil', label="SAM output", interactive=False)
-                max_width = max_height = 256
-                with gr.Row():
-                    x_min_slider = gr.Slider(label="X min", interactive=True, value=0, minimum=0, maximum=max_width, step=1)
-                    y_min_slider = gr.Slider(label="Y min", interactive=True, value=0, minimum=0, maximum=max_height, step=1)
-                with gr.Row():
-                    x_max_slider = gr.Slider(label="X max", interactive=True, value=max_width, minimum=0, maximum=max_width, step=1)
-                    y_max_slider = gr.Slider(label="Y max", interactive=True, value=max_height, minimum=0, maximum=max_height, step=1)
-                bbox_sliders = [x_min_slider, y_min_slider, x_max_slider, y_max_slider]
-
-                mesh_output = gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0], label="One-2-3-45's Textured Mesh", elem_id="model-3d-out")
-        
-        with gr.Row(variant='panel'):
-            with gr.Column(scale=85):
-                elev_output = gr.Label(label='Estimated elevation (degree, w.r.t. the horizontal plane)')
-                vis_output = gr.Plot(label='Camera poses of the input view (red) and predicted views (blue)', elem_id="plot-out")
-                
-            with gr.Column(scale=115):
-                gr.Markdown('Predicted multi-view images')
-                with gr.Row():
-                    view_1 = gr.Image(interactive=False, height=200, show_label=False)
-                    view_2 = gr.Image(interactive=False, height=200, show_label=False)
-                    view_3 = gr.Image(interactive=False, height=200, show_label=False)
-                    view_4 = gr.Image(interactive=False, height=200, show_label=False)
-                with gr.Row():
-                    btn_retry_1 = gr.Checkbox(label='Retry view 1')
-                    btn_retry_2 = gr.Checkbox(label='Retry view 2')
-                    btn_retry_3 = gr.Checkbox(label='Retry view 3')
-                    btn_retry_4 = gr.Checkbox(label='Retry view 4')
-                with gr.Row():
-                    view_5 = gr.Image(interactive=False, height=200, show_label=False)
-                    view_6 = gr.Image(interactive=False, height=200, show_label=False)
-                    view_7 = gr.Image(interactive=False, height=200, show_label=False)
-                    view_8 = gr.Image(interactive=False, height=200, show_label=False)
-                with gr.Row():
-                    btn_retry_5 = gr.Checkbox(label='Retry view 5')
-                    btn_retry_6 = gr.Checkbox(label='Retry view 6')
-                    btn_retry_7 = gr.Checkbox(label='Retry view 7')
-                    btn_retry_8 = gr.Checkbox(label='Retry view 8')
-                with gr.Row():
-                    regen_view_btn = gr.Button('1. Regenerate selected view(s)', variant='secondary', visible=False)
-                    regen_mesh_btn = gr.Button('2. Regenerate nearby views and mesh', variant='secondary', visible=False)
-        
-        gr.Markdown(article)
-        gr.HTML("""
-            <div class="footer">
-                <p> 
-                One-2-3-45 Demo by <a style="text-decoration:none" href="https://chaoxu.xyz" target="_blank">Chao Xu</a>
-                </p>
-            </div>
-        """)
-
-        # hidden buttons for supporting API calls
-        elev_est_btn = gr.Button('Run API', variant='primary', visible=False)
-        elev_est_out = gr.Number(value=0, visible=False)
-        elev_preprocess_chk = gr.Checkbox(value=True, visible=False)
-
-        elev_est_btn.click(fn=partial(estimate_elev_api, models, device, predictor), 
-                           inputs=[image_block, elev_preprocess_chk], 
-                           outputs=[elev_est_out], 
-                           api_name='estimate_elevation',
-                           queue=True)
-        
-        preprocess_btn = gr.Button('Run API', variant='primary', visible=False)
-        preprocess_btn.click(fn=partial(preprocess_api, predictor), 
-                             inputs=[image_block], 
-                             outputs=[sam_block], 
-                             api_name='preprocess',
-                             queue=True)
-        
-        gen_mesh_btn = gr.Button('Run API', variant='primary', visible=False)
-        gen_mesh_btn.click(fn=partial(gen_mesh_api, models, predictor, device),
-                            inputs=[image_block, elev_preprocess_chk], 
-                            outputs=[mesh_output], 
-                            api_name='generate_mesh',
-                            queue=True)
-
-        update_guide = lambda GUIDE_TEXT: gr.update(value=GUIDE_TEXT)
-
-        views = [view_1, view_2, view_3, view_4, view_5, view_6, view_7, view_8]
-        btn_retrys = [btn_retry_1, btn_retry_2, btn_retry_3, btn_retry_4, btn_retry_5, btn_retry_6, btn_retry_7, btn_retry_8]
-        
-        rerun_idx = gr.State([])
-        tmp_dir = gr.State('./demo_tmp/tmp_dir')
-
-        def refresh(tmp_dir):
-            if os.path.exists(tmp_dir):
-                shutil.rmtree(tmp_dir)
-            tmp_dir = tempfile.TemporaryDirectory(dir=os.path.join(os.path.dirname(__file__), 'demo_tmp'))
-            print("create tmp_dir", tmp_dir.name)
-            clear = [gr.update(value=[])] + [None] * 5 + [gr.update(visible=False)] * 2 + [None] * 8 + [gr.update(value=False)] * 8
-            return (tmp_dir.name, *clear)
-        
-        placeholder = gr.Image(visible=False)
-        tmp_func = lambda x: False if not x else gr.update(visible=False)
-        disable_func = lambda x: gr.update(interactive=False)
-        enable_func = lambda x: gr.update(interactive=True)
-        image_block.change(disable_func, inputs=run_btn, outputs=run_btn, queue=False
-                           ).success(fn=refresh,
-                           inputs=[tmp_dir],
-                           outputs=[tmp_dir, rerun_idx, bbox_block, sam_block, elev_output, vis_output, mesh_output, regen_view_btn, regen_mesh_btn, *views, *btn_retrys],
-                           queue=False
-                           ).success(fn=tmp_func, inputs=[image_block], outputs=[placeholder], queue=False
-                           ).success(fn=partial(update_guide, _BBOX_1), outputs=[guide_text], queue=False
-                           ).success(fn=init_bbox,
-                                     inputs=[image_block],
-                                     outputs=[bbox_block, *bbox_sliders], queue=False
-                           ).success(fn=partial(update_guide, _BBOX_3), outputs=[guide_text], queue=False
-                           ).success(enable_func, inputs=run_btn, outputs=run_btn, queue=False)
-
-
-        for bbox_slider in bbox_sliders:
-            bbox_slider.release(fn=on_coords_slider,
-                               inputs=[image_block, *bbox_sliders],
-                               outputs=[bbox_block], 
-                               queue=False
-                               ).success(fn=partial(update_guide, _BBOX_2), outputs=[guide_text], queue=False)
-
-        cam_vis = CameraVisualizer(vis_output)
-
-        # Define the function to be called when any of the btn_retry buttons are clicked
-        def on_retry_button_click(*btn_retrys):
-            any_checked = any([btn_retry for btn_retry in btn_retrys])
-            print('any_checked:', any_checked, [btn_retry for btn_retry in btn_retrys])
-            if any_checked:
-                return (gr.update(visible=True), gr.update(visible=True))
-            else:
-                return (gr.update(), gr.update())
-        # make regen_btn visible when any of the btn_retry is checked
-        for btn_retry in btn_retrys:
-            # Add the event handlers to the btn_retry buttons
-            btn_retry.change(fn=on_retry_button_click, inputs=[*btn_retrys], outputs=[regen_view_btn, regen_mesh_btn], queue=False)
-
-
-        run_btn.click(fn=partial(update_guide, _SAM), outputs=[guide_text], queue=False
-                      ).success(fn=partial(preprocess_run, predictor, models), 
-                                inputs=[image_block, preprocess_chk, *bbox_sliders], 
-                                outputs=[sam_block]
-                      ).success(fn=partial(update_guide, _GEN_1), outputs=[guide_text], queue=False
-                      ).success(fn=partial(stage1_run, models, device, cam_vis),
-                                inputs=[tmp_dir, sam_block, scale_slider, steps_slider],
-                                outputs=[elev_output, vis_output, *views]
-                      ).success(fn=partial(update_guide, _GEN_2), outputs=[guide_text], queue=False
-                      ).success(fn=partial(stage2_run, models, device),
-                                inputs=[tmp_dir, elev_output, scale_slider, glb_chk],
-                                outputs=[mesh_output]
-                      ).success(fn=partial(update_guide, _DONE), outputs=[guide_text], queue=False)
-    
-
-        regen_view_btn.click(fn=partial(stage1_run, models, device, None),
-                             inputs=[tmp_dir, sam_block, scale_slider, steps_slider, elev_output, rerun_idx, *btn_retrys],
-                             outputs=[rerun_idx, *btn_retrys, *views]
-                            ).success(fn=partial(update_guide, _REGEN_1), outputs=[guide_text], queue=False)
-        regen_mesh_btn.click(fn=partial(stage2_run, models, device),
-                             inputs=[tmp_dir, elev_output, scale_slider, glb_chk, rerun_idx],
-                             outputs=[mesh_output, rerun_idx, regen_view_btn, regen_mesh_btn]
-                            ).success(fn=partial(update_guide, _REGEN_2), outputs=[guide_text], queue=False)
-
-
-    demo.queue().launch(share=False, max_threads=80) # auth=("admin", os.environ['PASSWD'])
-
-
-if __name__ == '__main__':
-    fire.Fire(run_demo)
diff --git a/spaces/Osborn-bh/ChatGLM3-6B-Osborn/web_demo.py b/spaces/Osborn-bh/ChatGLM3-6B-Osborn/web_demo.py
deleted file mode 100644
index 37055b2885a802804bfbcb358bf22a3d0e7648b1..0000000000000000000000000000000000000000
--- a/spaces/Osborn-bh/ChatGLM3-6B-Osborn/web_demo.py
+++ /dev/null
@@ -1,108 +0,0 @@
-from transformers import AutoModel, AutoTokenizer
-import gradio as gr
-import mdtex2html
-from utils import load_model_on_gpus
-
-tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm3-6b", trust_remote_code=True)
-model = AutoModel.from_pretrained("THUDM/chatglm3-6b", trust_remote_code=True).cuda()
-# 多显卡支持，使用下面两行代替上面一行，将num_gpus改为你实际的显卡数量
-# from utils import load_model_on_gpus
-# model = load_model_on_gpus("THUDM/chatglm3-6b", num_gpus=2)
-model = model.eval()
-
-"""Override Chatbot.postprocess"""
-
-
-def postprocess(self, y):
-    if y is None:
-        return []
-    for i, (message, response) in enumerate(y):
-        y[i] = (
-            None if message is None else mdtex2html.convert((message)),
-            None if response is None else mdtex2html.convert(response),
-        )
-    return y
-
-
-gr.Chatbot.postprocess = postprocess
-
-
-def parse_text(text):
-    """copy from https://github.com/GaiZhenbiao/ChuanhuChatGPT/"""
-    lines = text.split("\n")
-    lines = [line for line in lines if line != ""]
-    count = 0
-    for i, line in enumerate(lines):
-        if "```" in line:
-            count += 1
-            items = line.split('`')
-            if count % 2 == 1:
-                lines[i] = f'<pre><code class="language-{items[-1]}">'
-            else:
-                lines[i] = f'<br></code></pre>'
-        else:
-            if i > 0:
-                if count % 2 == 1:
-                    line = line.replace("`", "\`")
-                    line = line.replace("<", "&lt;")
-                    line = line.replace(">", "&gt;")
-                    line = line.replace(" ", "&nbsp;")
-                    line = line.replace("*", "&ast;")
-                    line = line.replace("_", "&lowbar;")
-                    line = line.replace("-", "&#45;")
-                    line = line.replace(".", "&#46;")
-                    line = line.replace("!", "&#33;")
-                    line = line.replace("(", "&#40;")
-                    line = line.replace(")", "&#41;")
-                    line = line.replace("$", "&#36;")
-                lines[i] = "<br>"+line
-    text = "".join(lines)
-    return text
-
-
-def predict(input, chatbot, max_length, top_p, temperature, history, past_key_values):
-    chatbot.append((parse_text(input), ""))
-    for response, history, past_key_values in model.stream_chat(tokenizer, input, history, past_key_values=past_key_values,
-                                                                return_past_key_values=True,
-                                                                max_length=max_length, top_p=top_p,
-                                                                temperature=temperature):
-        chatbot[-1] = (parse_text(input), parse_text(response))
-
-        yield chatbot, history, past_key_values
-
-
-def reset_user_input():
-    return gr.update(value='')
-
-
-def reset_state():
-    return [], [], None
-
-
-with gr.Blocks() as demo:
-    gr.HTML("""<h1 align="center">ChatGLM3-6B</h1>""")
-
-    chatbot = gr.Chatbot()
-    with gr.Row():
-        with gr.Column(scale=4):
-            with gr.Column(scale=12):
-                user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10).style(
-                    container=False)
-            with gr.Column(min_width=32, scale=1):
-                submitBtn = gr.Button("Submit", variant="primary")
-        with gr.Column(scale=1):
-            emptyBtn = gr.Button("Clear History")
-            max_length = gr.Slider(0, 32768, value=8192, step=1.0, label="Maximum length", interactive=True)
-            top_p = gr.Slider(0, 1, value=0.8, step=0.01, label="Top P", interactive=True)
-            temperature = gr.Slider(0, 1, value=0.6, step=0.01, label="Temperature", interactive=True)
-
-    history = gr.State([])
-    past_key_values = gr.State(None)
-
-    submitBtn.click(predict, [user_input, chatbot, max_length, top_p, temperature, history, past_key_values],
-                    [chatbot, history, past_key_values], show_progress=True)
-    submitBtn.click(reset_user_input, [], [user_input])
-
-    emptyBtn.click(reset_state, outputs=[chatbot, history, past_key_values], show_progress=True)
-
-demo.queue().launch(share=True, inbrowser=True)
diff --git a/spaces/PAIR/PAIR-Diffusion/annotator/OneFormer/oneformer/evaluation/__init__.py b/spaces/PAIR/PAIR-Diffusion/annotator/OneFormer/oneformer/evaluation/__init__.py
deleted file mode 100644
index 49f62369cca38a3c85884f8dea6baea674cb9060..0000000000000000000000000000000000000000
--- a/spaces/PAIR/PAIR-Diffusion/annotator/OneFormer/oneformer/evaluation/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .detection_coco_evaluator import *
-from .coco_evaluator import *
-from .cityscapes_evaluation import CityscapesInstanceEvaluator
\ No newline at end of file
diff --git a/spaces/PAIR/PAIR-Diffusion/ldm/modules/diffusionmodules/__init__.py b/spaces/PAIR/PAIR-Diffusion/ldm/modules/diffusionmodules/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/spaces/ParisNeo/FaceRecognition/README.md b/spaces/ParisNeo/FaceRecognition/README.md
deleted file mode 100644
index 8dfb243956232a54c738bf429ed1776e4cde6dcb..0000000000000000000000000000000000000000
--- a/spaces/ParisNeo/FaceRecognition/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: FaceRecognition
-emoji: 👀
-colorFrom: yellow
-colorTo: indigo
-sdk: gradio
-sdk_version: 3.19.1
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/ParisNeo/MBart50Translator/README.md b/spaces/ParisNeo/MBart50Translator/README.md
deleted file mode 100644
index d6266424936c98fa1b5135f421948a7af9e65405..0000000000000000000000000000000000000000
--- a/spaces/ParisNeo/MBart50Translator/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: MBart50Translator
-emoji: 👁
-colorFrom: red
-colorTo: pink
-sdk: gradio
-sdk_version: 3.23.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/Pattr/DrumClassification/lilypond-2.24.2/lib/guile/2.2/ccache/ice-9/unicode.go b/spaces/Pattr/DrumClassification/lilypond-2.24.2/lib/guile/2.2/ccache/ice-9/unicode.go
deleted file mode 100644
index e9ce3cca0d64be6adcbe832ad965c593429bdd97..0000000000000000000000000000000000000000
Binary files a/spaces/Pattr/DrumClassification/lilypond-2.24.2/lib/guile/2.2/ccache/ice-9/unicode.go and /dev/null differ
diff --git a/spaces/PeepDaSlan9/De-limiter/eval_delimit/score_peaq_aggregate.py b/spaces/PeepDaSlan9/De-limiter/eval_delimit/score_peaq_aggregate.py
deleted file mode 100644
index fd85e656a1cac333352364bf792678b7ebe377a1..0000000000000000000000000000000000000000
--- a/spaces/PeepDaSlan9/De-limiter/eval_delimit/score_peaq_aggregate.py
+++ /dev/null
@@ -1,88 +0,0 @@
-# PEAQ aggregate score
-"""
-/path/to/results/delimit_6_s/score_peaq.txt
-"""
-
-import os
-import glob
-import argparse
-import json
-
-
-def str2bool(v):
-    if v.lower() in ("yes", "true", "t", "y", "1"):
-        return True
-    elif v.lower() in ("no", "false", "f", "n", "0"):
-        return False
-    else:
-        raise argparse.ArgumentTypeError("Boolean value expected.")
-
-
-parser = argparse.ArgumentParser(description="model test.py")
-
-parser.add_argument(
-    "--target",
-    type=str,
-    default="all",
-    help="target source. all, vocals, drums, bass, other",
-)
-parser.add_argument(
-    "--root",
-    type=str,
-    default="/path/to/musdb18hq_loudnorm",
-)
-parser.add_argument(
-    "--output_directory",
-    type=str,
-    default="/path/to/results",
-)
-parser.add_argument("--exp_name", type=str, default="delimit_6_s")
-parser.add_argument(
-    "--calc_results",
-    type=str2bool,
-    default=True,
-    help="Set this True when you want to calculate the results of the test set. Set this False when calculating musdb-hq vs musdb-XL. (top row in Table 1.)",
-)
-
-args, _ = parser.parse_known_args()
-
-
-if args.calc_results:
-    args.test_output_dir = f"{args.output_directory}/test/{args.exp_name}"
-else:
-    args.test_output_dir = f"{args.output_directory}/{args.exp_name}"
-
-
-if args.target == "all":
-    score_path = f"{args.test_output_dir}/score_peaq.txt"
-else:
-    score_path = f"{args.test_output_dir}/score_peaq_{args.target}.txt"
-
-# write the code to load score_peaq.txt
-with open(score_path, "r") as f:
-    score_txt = f.readlines()
-
-song_list = glob.glob(f"{args.root}/*")
-
-dict_song_peaq = {}
-list_peaq = []
-for idx, song in enumerate(song_list):
-    song_name = os.path.basename(song)
-    peaq = float(score_txt[idx * 2].replace("Objective Difference Grade: ", ""))
-    dict_song_peaq[song_name] = peaq
-    list_peaq.append(peaq)
-
-print(f"{args.exp_name} on {args.target}")
-print(f"PEAQ score: {sum(list_peaq) / len(list_peaq)}")
-
-if args.target == "all":
-    # save dict_song_peaq to json file
-    with open(f"{args.test_output_dir}/score_peaq.json", "w") as f:
-        json.dump(dict_song_peaq, f, indent=4)
-else:
-    # save dict_song_peaq to json file
-    with open(
-        f"{args.test_output_dir}/score_peaq_{args.target}.json",
-        "w",
-    ) as f:
-        json.dump(dict_song_peaq, f, indent=4)
diff --git a/spaces/Pie31415/control-animation/annotator/uniformer/mmcv/cnn/bricks/hsigmoid.py b/spaces/Pie31415/control-animation/annotator/uniformer/mmcv/cnn/bricks/hsigmoid.py
deleted file mode 100644
index 30b1a3d6580cf0360710426fbea1f05acdf07b4b..0000000000000000000000000000000000000000
--- a/spaces/Pie31415/control-animation/annotator/uniformer/mmcv/cnn/bricks/hsigmoid.py
+++ /dev/null
@@ -1,34 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-import torch.nn as nn
-
-from .registry import ACTIVATION_LAYERS
-
-
-@ACTIVATION_LAYERS.register_module()
-class HSigmoid(nn.Module):
-    """Hard Sigmoid Module. Apply the hard sigmoid function:
-    Hsigmoid(x) = min(max((x + bias) / divisor, min_value), max_value)
-    Default: Hsigmoid(x) = min(max((x + 1) / 2, 0), 1)
-
-    Args:
-        bias (float): Bias of the input feature map. Default: 1.0.
-        divisor (float): Divisor of the input feature map. Default: 2.0.
-        min_value (float): Lower bound value. Default: 0.0.
-        max_value (float): Upper bound value. Default: 1.0.
-
-    Returns:
-        Tensor: The output tensor.
-    """
-
-    def __init__(self, bias=1.0, divisor=2.0, min_value=0.0, max_value=1.0):
-        super(HSigmoid, self).__init__()
-        self.bias = bias
-        self.divisor = divisor
-        assert self.divisor != 0
-        self.min_value = min_value
-        self.max_value = max_value
-
-    def forward(self, x):
-        x = (x + self.bias) / self.divisor
-
-        return x.clamp_(self.min_value, self.max_value)
diff --git a/spaces/Plachta/VALL-E-X/models/vallex.py b/spaces/Plachta/VALL-E-X/models/vallex.py
deleted file mode 100644
index 745b72bcff05ecbb082b41691f978ee90e382123..0000000000000000000000000000000000000000
--- a/spaces/Plachta/VALL-E-X/models/vallex.py
+++ /dev/null
@@ -1,851 +0,0 @@
-# Copyright    2023                             (authors: Feiteng Li)
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import random
-from typing import Dict, Iterator, List, Tuple, Union
-import gc
-
-import numpy as np
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-# from icefall.utils import make_pad_mask
-# from torchmetrics.classification import MulticlassAccuracy
-
-from modules.embedding import SinePositionalEmbedding, TokenEmbedding
-from modules.transformer import (
-    AdaptiveLayerNorm,
-    LayerNorm,
-    TransformerDecoderLayer,
-    TransformerEncoder,
-    TransformerEncoderLayer,
-)
-
-from .macros import NUM_AUDIO_TOKENS, NUM_TEXT_TOKENS
-
-import psutil
-def get_memory_usage():
-    process = psutil.Process()
-    memory_info = process.memory_info()
-
-    memory_used = memory_info.rss
-    memory_used_mb = memory_used / (1024 * 1024)
-
-    return memory_used_mb
-
-class Transpose(nn.Identity):
-    """(N, T, D) -> (N, D, T)"""
-
-    def forward(self, input: torch.Tensor) -> torch.Tensor:
-        return input.transpose(1, 2)
-
-
-# NOTE: There are two ways to implement the model
-#       1) [VALL-F] standard TransformerDecoder, use x as memory
-#       2) [VALL-E] modified TransformerDecoder like GPT-x(e.g. causal TransformerEncoder),
-#          use x as the prefix of decoder inputs
-class VALLF(nn.Module):
-    """It implements https://arxiv.org/abs/2301.02111
-    "Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers"
-    """
-
-    def __init__(
-        self,
-        d_model: int,
-        nhead: int,
-        num_layers: int,
-        norm_first: bool = True,
-        add_prenet: bool = False,
-        decoder_cls: Union[
-            nn.TransformerDecoder, nn.TransformerEncoder
-        ] = nn.TransformerDecoder,
-        decoder_layer_cls: Union[
-            TransformerDecoderLayer, TransformerEncoderLayer
-        ] = TransformerDecoderLayer,
-        prefix_mode: int = 0,
-        share_embedding: bool = True,
-        nar_scale_factor: float = 1.0,
-        prepend_bos: bool = True,
-        num_quantizers: int = 8,
-    ):
-        """
-        Args:
-          d_model:
-            The number of expected features in the input (required).
-          nhead:
-            The number of heads in the multiheadattention models (required).
-          num_layers:
-            The number of sub-decoder-layers in the decoder (required).
-        """
-        super().__init__()
-        nar_d_model = int(d_model * nar_scale_factor)
-
-        self.ar_text_embedding = TokenEmbedding(d_model, NUM_TEXT_TOKENS)  # W_x
-        self.nar_text_embedding = TokenEmbedding(nar_d_model, NUM_TEXT_TOKENS)
-
-        # ID NUM_AUDIO_TOKENS     -> PAD
-        # ID NUM_AUDIO_TOKENS + 1 -> BOS
-        self.ar_audio_prepend_bos = prepend_bos
-        self.ar_audio_embedding = TokenEmbedding(
-            d_model, NUM_AUDIO_TOKENS + 1 + int(prepend_bos)
-        )
-
-        # PreNet
-        if add_prenet:
-            self.ar_text_prenet = nn.Sequential(
-                Transpose(),
-                nn.Conv1d(d_model, d_model, kernel_size=5, padding="same"),
-                nn.BatchNorm1d(d_model),
-                nn.ReLU(),
-                nn.Dropout(0.5),
-                nn.Conv1d(d_model, d_model, kernel_size=5, padding="same"),
-                nn.BatchNorm1d(d_model),
-                nn.ReLU(),
-                nn.Dropout(0.5),
-                nn.Conv1d(d_model, d_model, kernel_size=5, padding="same"),
-                nn.BatchNorm1d(d_model),
-                nn.ReLU(),
-                nn.Dropout(0.5),
-                Transpose(),
-                nn.Linear(d_model, d_model),
-            )
-
-            self.ar_audio_prenet = nn.Sequential(
-                nn.Linear(d_model, 256),
-                nn.ReLU(),
-                nn.Dropout(0.25),
-                nn.Linear(256, 256),
-                nn.ReLU(),
-                nn.Dropout(0.25),
-                nn.Linear(256, d_model),
-            )
-        else:
-            self.ar_text_prenet = nn.Identity()
-            self.ar_audio_prenet = nn.Identity()
-
-        self.ar_text_position = SinePositionalEmbedding(
-            d_model,
-            dropout=0.1,
-            scale=False,
-            alpha=True,
-        )
-        self.ar_audio_position = SinePositionalEmbedding(
-            d_model,
-            dropout=0.1,
-            scale=False,
-            alpha=True,
-        )
-
-        self.ar_decoder = decoder_cls(
-            decoder_layer_cls(
-                d_model,
-                nhead,
-                dim_feedforward=d_model * 4,
-                dropout=0.1,
-                batch_first=True,
-                norm_first=norm_first,
-            ),
-            num_layers=num_layers,
-            norm=LayerNorm(d_model) if norm_first else None,
-        )
-        self.ar_predict_layer = nn.Linear(
-            d_model, NUM_AUDIO_TOKENS + 1, bias=False
-        )
-
-        self.rng = random.Random(0)
-        self.num_heads = nhead
-        self.prefix_mode = prefix_mode
-        self.num_quantizers = num_quantizers
-
-        assert num_quantizers >= 1
-        if num_quantizers > 1:
-            self.nar_audio_embeddings = nn.ModuleList(
-                [TokenEmbedding(nar_d_model, NUM_AUDIO_TOKENS + 1)]
-                + [
-                    TokenEmbedding(nar_d_model, NUM_AUDIO_TOKENS)
-                    for i in range(num_quantizers - 1)
-                ]
-            )  # W_a
-
-            # PreNet
-            if add_prenet:
-                self.nar_text_prenet = nn.Sequential(
-                    Transpose(),
-                    nn.Conv1d(
-                        nar_d_model, nar_d_model, kernel_size=5, padding="same"
-                    ),
-                    nn.BatchNorm1d(nar_d_model),
-                    nn.ReLU(),
-                    nn.Dropout(0.5),
-                    nn.Conv1d(
-                        nar_d_model, nar_d_model, kernel_size=5, padding="same"
-                    ),
-                    nn.BatchNorm1d(nar_d_model),
-                    nn.ReLU(),
-                    nn.Dropout(0.5),
-                    nn.Conv1d(
-                        nar_d_model, nar_d_model, kernel_size=5, padding="same"
-                    ),
-                    nn.BatchNorm1d(nar_d_model),
-                    nn.ReLU(),
-                    nn.Dropout(0.5),
-                    Transpose(),
-                    nn.Linear(nar_d_model, nar_d_model),
-                )
-                self.nar_audio_prenet = nn.Sequential(
-                    nn.Linear(nar_d_model, 256),
-                    nn.ReLU(),
-                    nn.Dropout(0.25),
-                    nn.Linear(256, 256),
-                    nn.ReLU(),
-                    nn.Dropout(0.25),
-                    nn.Linear(256, nar_d_model),
-                )
-            else:
-                self.nar_text_prenet = nn.Identity()
-                self.nar_audio_prenet = nn.Identity()
-
-            self.nar_text_position = SinePositionalEmbedding(
-                nar_d_model,
-                dropout=0.0,
-                scale=False,
-                alpha=False,
-            )
-            self.nar_audio_position = SinePositionalEmbedding(
-                nar_d_model,
-                dropout=0.1,
-                scale=False,
-                alpha=False,
-            )
-
-            self.nar_decoder = decoder_cls(
-                decoder_layer_cls(
-                    nar_d_model,
-                    int(nhead * nar_scale_factor),
-                    dim_feedforward=nar_d_model * 4,
-                    dropout=0.1,
-                    batch_first=True,
-                    norm_first=norm_first,
-                    adaptive_layer_norm=True,
-                ),
-                num_layers=int(num_layers * nar_scale_factor),
-                norm=AdaptiveLayerNorm(
-                    nar_d_model, norm=nn.LayerNorm(nar_d_model)
-                )
-                if norm_first
-                else None,
-            )
-            self.nar_predict_layers = nn.ModuleList(
-                [
-                    nn.Linear(nar_d_model, NUM_AUDIO_TOKENS, bias=False)
-                    for i in range(num_quantizers - 1)
-                ]
-            )
-            self.nar_stage_embeddings = nn.ModuleList(
-                [
-                    TokenEmbedding(nar_d_model, 1)
-                    for i in range(num_quantizers - 1)
-                ]
-            )
-
-            if share_embedding:
-                # We share the parameters of the output projection layer with the parameters of the acoustic embedding Wa
-                # NOTE(Feiteng): In the experiment, this undermines accuracy
-                # self.ar_predict_layer.weight = self.ar_audio_embedding.weight
-
-                # We also share the parameters of the acoustic embedding layer and the output prediction layer,
-                # which means the weights of the j-th prediction layer are the same as the (j + 1)-th acoustic embedding layer.
-                for j in range(0, num_quantizers - 2):
-                    self.nar_predict_layers[
-                        j
-                    ].weight = self.nar_audio_embeddings[j + 2].weight
-
-    def stage_parameters(self, stage: int = 1) -> Iterator[nn.Parameter]:
-        assert stage > 0
-        if stage == 1:
-            for name, param in self.named_parameters():
-                if name.startswith("ar_"):
-                    print(f" AR parameter: {name}")
-                    yield param
-
-        if stage == 2:
-            for name, param in self.named_parameters():
-                if name.startswith("nar_"):
-                    print(f"NAR parameter: {name}")
-                    yield param
-
-    def stage_named_parameters(
-        self, stage: int = 1
-    ) -> Iterator[Tuple[str, nn.Parameter]]:
-        assert stage > 0
-        if stage == 1:
-            for pair in self.named_parameters():
-                if pair[0].startswith("ar_"):
-                    yield pair
-
-        if stage == 2:
-            for pair in self.named_parameters():
-                if pair[0].startswith("nar_"):
-                    yield pair
-
-    def pad_y_eos(self, y, y_mask_int, eos_id):
-        targets = F.pad(y, (0, 1), value=0) + eos_id * F.pad(
-            y_mask_int, (0, 1), value=1
-        )
-        # inputs, targets
-        if self.ar_audio_prepend_bos:
-            return (
-                F.pad(targets[:, :-1], (1, 0), value=NUM_AUDIO_TOKENS + 1),
-                targets,
-            )
-
-        return targets[:, :-1], targets[:, 1:]
-
-    def _prepare_prompts(self, y, y_lens, codes, nar_stage, y_prompts_codes, prefix_mode):
-        # 5.1 For the NAR acoustic prompt tokens, we select a random segment waveform of 3 seconds
-        # from the same utterance.
-        # We implement this differently.
-        if prefix_mode == 0:
-            # no prefix
-            prefix_len = 0
-            y_emb = self.nar_audio_embeddings[0](y)
-            for j in range(1, nar_stage):
-                # Formula (4) (5)
-                y_emb = y_emb + self.nar_audio_embeddings[j](codes[..., j])
-        elif prefix_mode == 1:
-            # prefix at begining
-            int_low = (0.25 * y_lens.min()).type(torch.int64).item()
-            prefix_len = torch.randint(0, int_low * 2, size=()).item()
-            prefix_len = min(prefix_len, 225)  # 24000/320 * 3s = 225 frames
-
-            y_prompts = self.nar_audio_embeddings[0](y[:, :prefix_len])
-            y_emb = self.nar_audio_embeddings[0](y[:, prefix_len:])
-            for j in range(1, self.num_quantizers):
-                y_prompts += self.nar_audio_embeddings[j](
-                    codes[:, :prefix_len, j]
-                )
-                if j < nar_stage:
-                    y_emb += self.nar_audio_embeddings[j](
-                        codes[:, prefix_len:, j]
-                    )
-            y_emb = torch.concat([y_prompts, y_emb], axis=1)
-        elif prefix_mode in [2, 4]:
-            if prefix_mode == 2:
-                # random prefix
-                prefix_len = min(225, int(0.25 * y_lens.min().item()))
-
-                y_prompts_codes = []
-                for b in range(codes.shape[0]):
-                    start = self.rng.randint(0, y_lens[b].item() - prefix_len)
-                    y_prompts_codes.append(
-                        torch.clone(codes[b, start : start + prefix_len])
-                    )
-                    codes[
-                        b, start : start + prefix_len, nar_stage
-                    ] = NUM_AUDIO_TOKENS
-                y_prompts_codes = torch.stack(y_prompts_codes, dim=0)
-            else:
-                prefix_len = y_prompts_codes.shape[1]
-
-            y_prompts = self.nar_audio_embeddings[0](y_prompts_codes[..., 0])
-            y_emb = self.nar_audio_embeddings[0](y)
-            for j in range(1, self.num_quantizers):
-                y_prompts += self.nar_audio_embeddings[j](
-                    y_prompts_codes[..., j]
-                )
-                if j < nar_stage:
-                    y_emb += self.nar_audio_embeddings[j](codes[..., j])
-            y_emb = torch.concat([y_prompts, y_emb], axis=1)
-        else:
-            raise ValueError
-
-        return y_emb, prefix_len
-
-    def forward(
-        self,
-        x: torch.Tensor,
-        x_lens: torch.Tensor,
-        y: Union[torch.Tensor],
-        y_lens: Union[torch.Tensor],
-        reduction: str = "sum",
-        train_stage: int = 0,
-        **kwargs,
-    ) -> Tuple[torch.Tensor, Union[torch.Tensor, None]]:
-        raise NotImplementedError
-
-    def inference(
-        self,
-        x: torch.Tensor,
-        x_lens: torch.Tensor,
-        y: torch.Tensor,
-        enroll_x_lens: Union[torch.Tensor, None] = None,
-        top_k: int = -100,
-        temperature: float = 1.0,
-    ) -> torch.Tensor:
-        raise NotImplementedError
-
-    def visualize(
-        self,
-        predicts: Tuple[torch.Tensor],
-        batch: Dict[str, Union[List, torch.Tensor]],
-        output_dir: str,
-        limit: int = 4,
-    ) -> None:
-        raise NotImplementedError
-
-
-class VALLE(VALLF):
-    """It implements https://arxiv.org/abs/2301.02111
-    "Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers"
-    """
-
-    def __init__(
-        self,
-        d_model: int,
-        nhead: int,
-        num_layers: int,
-        norm_first: bool = True,
-        add_prenet: bool = False,
-        prefix_mode: int = 0,
-        share_embedding: bool = True,
-        nar_scale_factor: float = 1.0,
-        **kwargs,
-    ):
-        """
-        Args:
-          d_model:
-            The number of expected features in the input (required).
-          nhead:
-            The number of heads in the multiheadattention models (required).
-          num_layers:
-            The number of sub-decoder-layers in the decoder (required).
-        """
-        super(VALLE, self).__init__(
-            d_model,
-            nhead,
-            num_layers,
-            norm_first=norm_first,
-            add_prenet=add_prenet,
-            decoder_cls=TransformerEncoder,
-            decoder_layer_cls=TransformerEncoderLayer,
-            prefix_mode=prefix_mode,
-            share_embedding=share_embedding,
-            nar_scale_factor=nar_scale_factor,
-            **kwargs,
-        )
-        self.language_ID = {
-            'en': 0,
-            'zh': 1,
-            'ja': 2,
-        }
-        self.ar_language_embedding = TokenEmbedding(d_model, len(self.language_ID))
-        self.nar_language_embedding = TokenEmbedding(d_model, len(self.language_ID))
-
-    def forward(
-        self,
-        x: torch.Tensor,
-        x_lens: torch.Tensor,
-        y: Union[torch.Tensor],
-        y_lens: Union[torch.Tensor],
-        reduction: str = "sum",
-        train_stage: int = 0,
-        **kwargs,
-    ):
-        raise NotImplementedError
-
-    def inference(
-        self,
-        x: torch.Tensor,
-        x_lens: torch.Tensor,
-        y: torch.Tensor,
-        enroll_x_lens: torch.Tensor,
-        top_k: int = -100,
-        temperature: float = 1.0,
-        prompt_language: str = None,
-        text_language: str = None,
-    ) -> torch.Tensor:
-        """
-        Args:
-          x:
-            A 2-D tensor of shape (1, S).
-          x_lens:
-            A 1-D tensor of shape (1,). It contains the number of tokens in `x`
-            before padding.
-          y:
-            A 3-D tensor of shape (1, T, 8).
-          top_k: (`optional`) int
-            The number of highest probability tokens to keep for top-k-filtering. Default to -100.
-          temperature: (`optional`) float
-            The value used to module the next token probabilities. Must be strictly positive. Default to 1.0.
-        Returns:
-          Return the predicted audio code matrix.
-        """
-        assert x.ndim == 2, x.shape
-        assert x_lens.ndim == 1, x_lens.shape
-        assert y.ndim == 3, y.shape
-        assert y.shape[0] == 1, y.shape
-
-        assert torch.all(x_lens > 0)
-
-        # NOTE: x has been padded in TextTokenCollater
-        text = x
-        x = self.ar_text_embedding(text)
-        # Add language embedding
-        prompt_language_id = torch.LongTensor(np.array([self.language_ID[prompt_language]])).to(x.device)
-        if isinstance(text_language, str):
-            text_language_id = torch.LongTensor(np.array([self.language_ID[text_language]])).to(x.device)
-        elif isinstance(text_language, List):
-            text_language_id = torch.LongTensor(np.array([self.language_ID[tl] for tl in text_language])).to(x.device)
-        x[:, :enroll_x_lens, :] += self.ar_language_embedding(prompt_language_id)
-        x[:, enroll_x_lens:, :] += self.ar_language_embedding(text_language_id)
-        x = self.ar_text_prenet(x)
-        x = self.ar_text_position(x)
-
-        text_len = x_lens.max()
-        prompts = y
-        prefix_len = y.shape[1]
-
-        # AR Decoder
-        # TODO: Managing decoder steps avoid repetitive computation
-        y = prompts[..., 0]
-        if self.ar_audio_prepend_bos:
-            y = F.pad(y, (1, 0), value=NUM_AUDIO_TOKENS + 1)
-
-        x_len = x_lens.max()
-        x_attn_mask = torch.zeros((x_len, x_len), dtype=torch.bool)
-
-        kv_cache = None
-        use_kv_caching = True
-        while True:
-            y_emb = self.ar_audio_embedding(y)
-            y_emb = self.ar_audio_prenet(y_emb)
-            y_pos = self.ar_audio_position(y_emb)
-            xy_pos = torch.concat([x, y_pos], dim=1)
-
-            y_len = y.shape[1]
-            x_attn_mask_pad = F.pad(
-                x_attn_mask,
-                (0, y_len),
-                value=True,
-            )
-            y_attn_mask = F.pad(
-                torch.triu(
-                    torch.ones(y_len, y_len, dtype=torch.bool), diagonal=1
-                ),
-                (x_len, 0),
-                value=False,
-            )
-            xy_attn_mask = torch.concat(
-                [x_attn_mask_pad, y_attn_mask], dim=0
-            ).to(y.device)
-
-
-            if use_kv_caching and kv_cache is not None:
-                xy_pos = xy_pos[:, [-1]]
-            else:
-                pass
-
-            xy_dec, kv_cache = self.ar_decoder.infer(
-                xy_pos,
-                mask=xy_attn_mask,
-                past_kv=kv_cache,
-                use_cache=use_kv_caching,
-            )
-            # xy_dec, _ = self.ar_decoder(
-            #     (xy_pos, None),
-            #     mask=xy_attn_mask,
-            # )
-
-            logits = self.ar_predict_layer(xy_dec[:, -1])
-            samples = topk_sampling(
-                logits, top_k=top_k, top_p=1, temperature=temperature
-            )
-
-            if (
-                torch.argmax(logits, dim=-1)[0] == NUM_AUDIO_TOKENS
-                or samples[0, 0] == NUM_AUDIO_TOKENS
-                or (y.shape[1] - prompts.shape[1]) > x_lens.max() * 16
-            ):
-                if prompts.shape[1] == y.shape[1]:
-                    raise SyntaxError(
-                        "well trained model shouldn't reach here."
-                    )
-
-                print(f"VALL-E EOS [{prompts.shape[1]} -> {y.shape[1]}]")
-
-                memory_used = get_memory_usage()
-                print(f"Current memory used: {memory_used:.2f} MB")
-                break
-
-            # safety measure, break if token sequence too long
-            if y.shape[1] > 2250:
-                print(f"VALL-E EOS [{prompts.shape[1]} -> {y.shape[1]}]")
-                break
-
-            y = torch.concat([y, samples], dim=1)
-
-        codes = [y[:, prefix_len + int(self.ar_audio_prepend_bos) :]]
-        if self.num_quantizers == 1:
-            return torch.stack(codes, dim=-1)
-
-        # Non-AR Decoders
-        y_emb = self.nar_audio_embeddings[0](
-            y[:, int(self.ar_audio_prepend_bos) :]
-        )
-
-        if self.prefix_mode in [2, 4]:  # Exclude enrolled_phonemes
-            enrolled_len = enroll_x_lens.max().item()
-            # SOS + Synthesis Text + EOS
-            text = torch.concat(
-                [
-                    text[:, :1],
-                    text[:, enrolled_len - 1 :],
-                ],
-                dim=1,
-            )
-            text_len = text_len - (enrolled_len - 2)
-            assert text.shape[0] == 1
-
-        x = self.nar_text_embedding(text)
-        # Add language embedding
-        prompt_language_id = torch.LongTensor(np.array([self.language_ID[prompt_language]])).to(x.device)
-        if isinstance(text_language, str):
-            text_language_id = torch.LongTensor(np.array([self.language_ID[text_language]])).to(x.device)
-        elif isinstance(text_language, List):
-            text_language_id = torch.LongTensor(np.array([self.language_ID[tl] for tl in text_language])).to(x.device)
-        x[:, :enroll_x_lens, :] += self.nar_language_embedding(prompt_language_id)
-        x[:, enroll_x_lens:, :] += self.nar_language_embedding(text_language_id)
-        x = self.nar_text_prenet(x)
-        x = self.nar_text_position(x)
-
-        if self.prefix_mode == 0:
-            for i, (predict_layer, embedding_layer) in enumerate(
-                zip(
-                    self.nar_predict_layers,
-                    self.nar_audio_embeddings[1:],
-                )
-            ):
-                y_pos = self.nar_audio_prenet(y_emb)
-                y_pos = self.nar_audio_position(y_pos)
-                xy_pos = torch.concat([x, y_pos], dim=1)
-
-                xy_dec, _ = self.nar_decoder(
-                    (xy_pos, self.nar_stage_embeddings[i].weight)
-                )
-                logits = predict_layer(xy_dec[:, text_len + prefix_len :])
-
-                samples = torch.argmax(logits, dim=-1)
-                codes.append(samples)
-
-                if i < self.num_quantizers - 2:
-                    y_emb[:, :prefix_len] += embedding_layer(
-                        prompts[..., i + 1]
-                    )
-                    y_emb[:, prefix_len:] += embedding_layer(samples)
-        else:
-            for j in range(1, self.num_quantizers):
-                y_emb[:, :prefix_len] += self.nar_audio_embeddings[j](
-                    prompts[..., j]
-                )
-
-            for i, (predict_layer, embedding_layer) in enumerate(
-                zip(
-                    self.nar_predict_layers,
-                    self.nar_audio_embeddings[1:],
-                )
-            ):
-                y_pos = self.nar_audio_prenet(y_emb)
-                y_pos = self.nar_audio_position(y_pos)
-                xy_pos = torch.concat([x, y_pos], dim=1)
-
-                xy_dec, _ = self.nar_decoder(
-                    (xy_pos, self.nar_stage_embeddings[i].weight)
-                )
-                logits = predict_layer(xy_dec[:, text_len + prefix_len :])
-
-                samples = torch.argmax(logits, dim=-1)
-                codes.append(samples)
-
-                if i < self.num_quantizers - 2:
-                    y_emb[:, prefix_len:] += embedding_layer(samples)
-
-        assert len(codes) == self.num_quantizers
-        del text_language_id, prompt_language_id, y_emb, x, y_pos, xy_pos, xy_dec, logits, samples, kv_cache, x_attn_mask, y_attn_mask, xy_attn_mask
-        gc.collect()
-        return torch.stack(codes, dim=-1)
-
-    def continual(
-        self,
-        x: torch.Tensor,
-        x_lens: torch.Tensor,
-        y: torch.Tensor,
-    ) -> torch.Tensor:
-        """
-        Args:
-          x:
-            A 2-D tensor of shape (1, S).
-          x_lens:
-            A 1-D tensor of shape (1,). It contains the number of tokens in `x`
-            before padding.
-          y:
-            A 3-D tensor of shape (1, T, 8).
-        Returns:
-          Return the predicted audio code matrix.
-        """
-        assert x.ndim == 2, x.shape
-        assert x_lens.ndim == 1, x_lens.shape
-        assert y.ndim == 3, y.shape
-        assert y.shape[0] == 1, y.shape
-
-        assert torch.all(x_lens > 0)
-        assert self.num_quantizers == 8
-
-        # NOTE: x has been padded in TextTokenCollater
-        text = x
-        x = self.ar_text_embedding(text)
-        x = self.ar_text_prenet(x)
-        x = self.ar_text_position(x)
-
-        text_len = x_lens.max()
-
-        prefix_len = min(int(y.shape[1] * 0.5), 3 * 75)
-
-        # AR Decoder
-        prompts = y[:, :prefix_len]
-
-        codes = [y[:, prefix_len:, 0]]
-        # Non-AR Decoders
-        x = self.nar_text_embedding(text)
-        x = self.nar_text_prenet(x)
-        x = self.nar_text_position(x)
-
-        y_emb = self.nar_audio_embeddings[0](y[..., 0])
-
-        if self.prefix_mode == 0:
-            for i, (predict_layer, embedding_layer) in enumerate(
-                zip(
-                    self.nar_predict_layers,
-                    self.nar_audio_embeddings[1:],
-                )
-            ):
-                y_pos = self.nar_audio_position(y_emb)
-                y_pos = self.nar_audio_prenet(y_pos)
-                xy_pos = torch.concat([x, y_pos], dim=1)
-
-                xy_dec, _ = self.nar_decoder(
-                    (xy_pos, self.nar_stage_embeddings[i].weight)
-                )
-                logits = predict_layer(xy_dec[:, text_len + prefix_len :])
-
-                samples = torch.argmax(logits, dim=-1)
-                codes.append(samples)
-
-                if i < 6:
-                    y_emb[:, :prefix_len] += embedding_layer(
-                        prompts[..., i + 1]
-                    )
-                    y_emb[:, prefix_len:] += embedding_layer(samples)
-        else:
-            for j in range(1, 8):
-                y_emb[:, :prefix_len] += self.nar_audio_embeddings[j](
-                    prompts[..., j]
-                )
-
-            for i, (predict_layer, embedding_layer) in enumerate(
-                zip(
-                    self.nar_predict_layers,
-                    self.nar_audio_embeddings[1:],
-                )
-            ):
-                y_pos = self.nar_audio_prenet(y_emb)
-                y_pos = self.nar_audio_position(y_pos)
-                xy_pos = torch.concat([x, y_pos], dim=1)
-
-                xy_dec, _ = self.nar_decoder(
-                    (xy_pos, self.nar_stage_embeddings[i].weight)
-                )
-                logits = predict_layer(xy_dec[:, text_len + prefix_len :])
-
-                samples = torch.argmax(logits, dim=-1)
-                codes.append(samples)
-
-                if i < 6:
-                    y_emb[:, prefix_len:] += embedding_layer(samples)
-
-        assert len(codes) == 8
-        return torch.stack(codes, dim=-1)
-
-
-# https://github.com/microsoft/unilm/blob/master/xtune/src/transformers/modeling_utils.py
-def top_k_top_p_filtering(
-    logits, top_k=0, top_p=1.0, filter_value=-float("Inf"), min_tokens_to_keep=1
-):
-    """Filter a distribution of logits using top-k and/or nucleus (top-p) filtering
-    Args:
-        logits: logits distribution shape (batch size, vocabulary size)
-        if top_k > 0: keep only top k tokens with highest probability (top-k filtering).
-        if top_p < 1.0: keep the top tokens with cumulative probability >= top_p (nucleus filtering).
-            Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751)
-        Make sure we keep at least min_tokens_to_keep per batch example in the output
-    From: https://gist.github.com/thomwolf/1a5a29f6962089e871b94cbd09daf317
-    """
-    if top_k > 0:
-        top_k = min(
-            max(top_k, min_tokens_to_keep), logits.size(-1)
-        )  # Safety check
-        # Remove all tokens with a probability less than the last token of the top-k
-        indices_to_remove = logits < torch.topk(logits, top_k)[0][..., -1, None]
-        logits[indices_to_remove] = filter_value
-
-    if top_p < 1.0:
-        sorted_logits, sorted_indices = torch.sort(logits, descending=True)
-        cumulative_probs = torch.cumsum(
-            F.softmax(sorted_logits, dim=-1), dim=-1
-        )
-
-        # Remove tokens with cumulative probability above the threshold (token with 0 are kept)
-        sorted_indices_to_remove = cumulative_probs > top_p
-        if min_tokens_to_keep > 1:
-            # Keep at least min_tokens_to_keep (set to min_tokens_to_keep-1 because we add the first one below)
-            sorted_indices_to_remove[..., :min_tokens_to_keep] = 0
-        # Shift the indices to the right to keep also the first token above the threshold
-        sorted_indices_to_remove[..., 1:] = sorted_indices_to_remove[
-            ..., :-1
-        ].clone()
-        sorted_indices_to_remove[..., 0] = 0
-
-        # scatter sorted tensors to original indexing
-        indices_to_remove = sorted_indices_to_remove.scatter(
-            1, sorted_indices, sorted_indices_to_remove
-        )
-        logits[indices_to_remove] = filter_value
-    return logits
-
-
-def topk_sampling(logits, top_k=10, top_p=1.0, temperature=1.0):
-    # temperature: (`optional`) float
-    #     The value used to module the next token probabilities. Must be strictly positive. Default to 1.0.
-    # top_k: (`optional`) int
-    #     The number of highest probability vocabulary tokens to keep for top-k-filtering. Between 1 and infinity. Default to 50.
-    # top_p: (`optional`) float
-    #     The cumulative probability of parameter highest probability vocabulary tokens to keep for nucleus sampling. Must be between 0 and 1. Default to 1.
-
-    # Temperature (higher temperature => more likely to sample low probability tokens)
-    if temperature != 1.0:
-        logits = logits / temperature
-    # Top-p/top-k filtering
-    logits = top_k_top_p_filtering(logits, top_k=top_k, top_p=top_p)
-    # Sample
-    token = torch.multinomial(F.softmax(logits, dim=-1), num_samples=1)
-    return token
diff --git a/spaces/PrabhuKiranKonda/Streamlit-PDF-Assistant-Docker/pages/About.py b/spaces/PrabhuKiranKonda/Streamlit-PDF-Assistant-Docker/pages/About.py
deleted file mode 100644
index 02d6e1af79e5d4077258d37dba47c452aca7434e..0000000000000000000000000000000000000000
--- a/spaces/PrabhuKiranKonda/Streamlit-PDF-Assistant-Docker/pages/About.py
+++ /dev/null
@@ -1,45 +0,0 @@
-import streamlit as st
-
-def about():
-    st.markdown("""
-# PDF-Assistant : AI-Powered Q&A for PDFs
-
-Welcome to PDF-Assistant, an AI-powered web app that helps you extract valuable information from PDF documents with ease! 📚🔍
-
-## About the App
-
-PDF-Assistant leverages the power of OpenAI GPT 3.0 to provide accurate and intelligent answers to your questions related to PDF content. Whether you're a student, researcher, or professional, our app aims to make your PDF reading experience more efficient and productive. 🚀💡
-
-## Key Features
-
-- AI-Powered Q&A: Simply upload your PDF document and enter your API key, and our advanced language model will be at your service! Ask any question related to the PDF content, and the AI will generate detailed and relevant answers for you. It's like having your own personal PDF expert! 💭💡🤖
-
-- Firebase Integration: PDF-Assistant utilizes Firebase for authentication and database management. Your data and personal information are securely stored, ensuring a safe and reliable user experience. 🔒🔐🚀
-
-- Past History: Never lose track of your previous queries and responses! PDF-Assistant keeps a history of all your prompts and the corresponding AI-generated answers, allowing you to review and revisit them whenever you need to. 📚🔍📝🕒
-
-- Guest Mode: Don't want to go through the hassle of logging in? No worries! PDF-Assistant also offers a convenient guest mode. While prompts and responses aren't saved for guest users, it allows quick access to the powerful AI capabilities of the app. 🚀👥🔓
-
-## How to Use
-
-1. Log in using your credentials or simply use the guest mode.
-2. Upload your PDF document by following the provided instructions.
-3. Enter your API key to enable AI interaction.
-4. Ask any question related to the PDF content using natural language prompts.
-5. Wait for the AI to generate insightful and accurate answers for you.
-6. Explore the past history section to review your previous prompts and responses.
-7. Enjoy a seamless PDF reading experience with the help of AI intelligence!
-
-## Start Exploring PDF-Assistant Today!
-
-Don't let valuable information get lost in your PDF documents. Unlock the power of AI with PDF-Assistant and make the most out of your PDF reading and research endeavors. Start using PDF-Assistant today and experience a new level of productivity! 🎉🔍
-
-
-""")
-    
-
-def main():
-    about()
-    
-if __name__ == "__main__":
-    main()
\ No newline at end of file
diff --git a/spaces/RamAnanth1/T2I-Adapter/ldm/models/diffusion/ddim.py b/spaces/RamAnanth1/T2I-Adapter/ldm/models/diffusion/ddim.py
deleted file mode 100644
index fb31215db5c3f3f703f15987d7eee6a179c9f7ec..0000000000000000000000000000000000000000
--- a/spaces/RamAnanth1/T2I-Adapter/ldm/models/diffusion/ddim.py
+++ /dev/null
@@ -1,241 +0,0 @@
-"""SAMPLING ONLY."""
-
-import torch
-import numpy as np
-from tqdm import tqdm
-from functools import partial
-
-from ldm.modules.diffusionmodules.util import make_ddim_sampling_parameters, make_ddim_timesteps, noise_like, \
-    extract_into_tensor
-
-
-class DDIMSampler(object):
-    def __init__(self, model, schedule="linear", **kwargs):
-        super().__init__()
-        self.model = model
-        self.ddpm_num_timesteps = model.num_timesteps
-        self.schedule = schedule
-
-    def register_buffer(self, name, attr):
-        if type(attr) == torch.Tensor:
-            if attr.device != torch.device("cuda"):
-                attr = attr.to(torch.device("cuda"))
-        setattr(self, name, attr)
-
-    def make_schedule(self, ddim_num_steps, ddim_discretize="uniform", ddim_eta=0., verbose=True):
-        self.ddim_timesteps = make_ddim_timesteps(ddim_discr_method=ddim_discretize, num_ddim_timesteps=ddim_num_steps,
-                                                  num_ddpm_timesteps=self.ddpm_num_timesteps,verbose=verbose)
-        alphas_cumprod = self.model.alphas_cumprod
-        assert alphas_cumprod.shape[0] == self.ddpm_num_timesteps, 'alphas have to be defined for each timestep'
-        to_torch = lambda x: x.clone().detach().to(torch.float32).to(self.model.device)
-
-        self.register_buffer('betas', to_torch(self.model.betas))
-        self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod))
-        self.register_buffer('alphas_cumprod_prev', to_torch(self.model.alphas_cumprod_prev))
-
-        # calculations for diffusion q(x_t | x_{t-1}) and others
-        self.register_buffer('sqrt_alphas_cumprod', to_torch(np.sqrt(alphas_cumprod.cpu())))
-        self.register_buffer('sqrt_one_minus_alphas_cumprod', to_torch(np.sqrt(1. - alphas_cumprod.cpu())))
-        self.register_buffer('log_one_minus_alphas_cumprod', to_torch(np.log(1. - alphas_cumprod.cpu())))
-        self.register_buffer('sqrt_recip_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod.cpu())))
-        self.register_buffer('sqrt_recipm1_alphas_cumprod', to_torch(np.sqrt(1. / alphas_cumprod.cpu() - 1)))
-
-        # ddim sampling parameters
-        ddim_sigmas, ddim_alphas, ddim_alphas_prev = make_ddim_sampling_parameters(alphacums=alphas_cumprod.cpu(),
-                                                                                   ddim_timesteps=self.ddim_timesteps,
-                                                                                   eta=ddim_eta,verbose=verbose)
-        self.register_buffer('ddim_sigmas', ddim_sigmas)
-        self.register_buffer('ddim_alphas', ddim_alphas)
-        self.register_buffer('ddim_alphas_prev', ddim_alphas_prev)
-        self.register_buffer('ddim_sqrt_one_minus_alphas', np.sqrt(1. - ddim_alphas))
-        sigmas_for_original_sampling_steps = ddim_eta * torch.sqrt(
-            (1 - self.alphas_cumprod_prev) / (1 - self.alphas_cumprod) * (
-                        1 - self.alphas_cumprod / self.alphas_cumprod_prev))
-        self.register_buffer('ddim_sigmas_for_original_num_steps', sigmas_for_original_sampling_steps)
-
-    @torch.no_grad()
-    def sample(self,
-               S,
-               batch_size,
-               shape,
-               conditioning=None,
-               callback=None,
-               normals_sequence=None,
-               img_callback=None,
-               quantize_x0=False,
-               eta=0.,
-               mask=None,
-               x0=None,
-               temperature=1.,
-               noise_dropout=0.,
-               score_corrector=None,
-               corrector_kwargs=None,
-               verbose=True,
-               x_T=None,
-               log_every_t=100,
-               unconditional_guidance_scale=1.,
-               unconditional_conditioning=None,
-               # this has to come in the same format as the conditioning, # e.g. as encoded tokens, ...
-               **kwargs
-               ):
-        if conditioning is not None:
-            if isinstance(conditioning, dict):
-                cbs = conditioning[list(conditioning.keys())[0]].shape[0]
-                if cbs != batch_size:
-                    print(f"Warning: Got {cbs} conditionings but batch-size is {batch_size}")
-            else:
-                if conditioning.shape[0] != batch_size:
-                    print(f"Warning: Got {conditioning.shape[0]} conditionings but batch-size is {batch_size}")
-
-        self.make_schedule(ddim_num_steps=S, ddim_eta=eta, verbose=verbose)
-        # sampling
-        C, H, W = shape
-        size = (batch_size, C, H, W)
-        print(f'Data shape for DDIM sampling is {size}, eta {eta}')
-
-        samples, intermediates = self.ddim_sampling(conditioning, size,
-                                                    callback=callback,
-                                                    img_callback=img_callback,
-                                                    quantize_denoised=quantize_x0,
-                                                    mask=mask, x0=x0,
-                                                    ddim_use_original_steps=False,
-                                                    noise_dropout=noise_dropout,
-                                                    temperature=temperature,
-                                                    score_corrector=score_corrector,
-                                                    corrector_kwargs=corrector_kwargs,
-                                                    x_T=x_T,
-                                                    log_every_t=log_every_t,
-                                                    unconditional_guidance_scale=unconditional_guidance_scale,
-                                                    unconditional_conditioning=unconditional_conditioning,
-                                                    )
-        return samples, intermediates
-
-    @torch.no_grad()
-    def ddim_sampling(self, cond, shape,
-                      x_T=None, ddim_use_original_steps=False,
-                      callback=None, timesteps=None, quantize_denoised=False,
-                      mask=None, x0=None, img_callback=None, log_every_t=100,
-                      temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None,
-                      unconditional_guidance_scale=1., unconditional_conditioning=None,):
-        device = self.model.betas.device
-        b = shape[0]
-        if x_T is None:
-            img = torch.randn(shape, device=device)
-        else:
-            img = x_T
-
-        if timesteps is None:
-            timesteps = self.ddpm_num_timesteps if ddim_use_original_steps else self.ddim_timesteps
-        elif timesteps is not None and not ddim_use_original_steps:
-            subset_end = int(min(timesteps / self.ddim_timesteps.shape[0], 1) * self.ddim_timesteps.shape[0]) - 1
-            timesteps = self.ddim_timesteps[:subset_end]
-
-        intermediates = {'x_inter': [img], 'pred_x0': [img]}
-        time_range = reversed(range(0,timesteps)) if ddim_use_original_steps else np.flip(timesteps)
-        total_steps = timesteps if ddim_use_original_steps else timesteps.shape[0]
-        print(f"Running DDIM Sampling with {total_steps} timesteps")
-
-        iterator = tqdm(time_range, desc='DDIM Sampler', total=total_steps)
-
-        for i, step in enumerate(iterator):
-            index = total_steps - i - 1
-            ts = torch.full((b,), step, device=device, dtype=torch.long)
-
-            if mask is not None:
-                assert x0 is not None
-                img_orig = self.model.q_sample(x0, ts)  # TODO: deterministic forward pass?
-                img = img_orig * mask + (1. - mask) * img
-
-            outs = self.p_sample_ddim(img, cond, ts, index=index, use_original_steps=ddim_use_original_steps,
-                                      quantize_denoised=quantize_denoised, temperature=temperature,
-                                      noise_dropout=noise_dropout, score_corrector=score_corrector,
-                                      corrector_kwargs=corrector_kwargs,
-                                      unconditional_guidance_scale=unconditional_guidance_scale,
-                                      unconditional_conditioning=unconditional_conditioning)
-            img, pred_x0 = outs
-            if callback: callback(i)
-            if img_callback: img_callback(pred_x0, i)
-
-            if index % log_every_t == 0 or index == total_steps - 1:
-                intermediates['x_inter'].append(img)
-                intermediates['pred_x0'].append(pred_x0)
-
-        return img, intermediates
-
-    @torch.no_grad()
-    def p_sample_ddim(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False,
-                      temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None,
-                      unconditional_guidance_scale=1., unconditional_conditioning=None):
-        b, *_, device = *x.shape, x.device
-
-        if unconditional_conditioning is None or unconditional_guidance_scale == 1.:
-            e_t = self.model.apply_model(x, t, c)
-        else:
-            x_in = torch.cat([x] * 2)
-            t_in = torch.cat([t] * 2)
-            c_in = torch.cat([unconditional_conditioning, c])
-            e_t_uncond, e_t = self.model.apply_model(x_in, t_in, c_in).chunk(2)
-            e_t = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond)
-
-        if score_corrector is not None:
-            assert self.model.parameterization == "eps"
-            e_t = score_corrector.modify_score(self.model, e_t, x, t, c, **corrector_kwargs)
-
-        alphas = self.model.alphas_cumprod if use_original_steps else self.ddim_alphas
-        alphas_prev = self.model.alphas_cumprod_prev if use_original_steps else self.ddim_alphas_prev
-        sqrt_one_minus_alphas = self.model.sqrt_one_minus_alphas_cumprod if use_original_steps else self.ddim_sqrt_one_minus_alphas
-        sigmas = self.model.ddim_sigmas_for_original_num_steps if use_original_steps else self.ddim_sigmas
-        # select parameters corresponding to the currently considered timestep
-        a_t = torch.full((b, 1, 1, 1), alphas[index], device=device)
-        a_prev = torch.full((b, 1, 1, 1), alphas_prev[index], device=device)
-        sigma_t = torch.full((b, 1, 1, 1), sigmas[index], device=device)
-        sqrt_one_minus_at = torch.full((b, 1, 1, 1), sqrt_one_minus_alphas[index],device=device)
-
-        # current prediction for x_0
-        pred_x0 = (x - sqrt_one_minus_at * e_t) / a_t.sqrt()
-        if quantize_denoised:
-            pred_x0, _, *_ = self.model.first_stage_model.quantize(pred_x0)
-        # direction pointing to x_t
-        dir_xt = (1. - a_prev - sigma_t**2).sqrt() * e_t
-        noise = sigma_t * noise_like(x.shape, device, repeat_noise) * temperature
-        if noise_dropout > 0.:
-            noise = torch.nn.functional.dropout(noise, p=noise_dropout)
-        x_prev = a_prev.sqrt() * pred_x0 + dir_xt + noise
-        return x_prev, pred_x0
-
-    @torch.no_grad()
-    def stochastic_encode(self, x0, t, use_original_steps=False, noise=None):
-        # fast, but does not allow for exact reconstruction
-        # t serves as an index to gather the correct alphas
-        if use_original_steps:
-            sqrt_alphas_cumprod = self.sqrt_alphas_cumprod
-            sqrt_one_minus_alphas_cumprod = self.sqrt_one_minus_alphas_cumprod
-        else:
-            sqrt_alphas_cumprod = torch.sqrt(self.ddim_alphas)
-            sqrt_one_minus_alphas_cumprod = self.ddim_sqrt_one_minus_alphas
-
-        if noise is None:
-            noise = torch.randn_like(x0)
-        return (extract_into_tensor(sqrt_alphas_cumprod, t, x0.shape) * x0 +
-                extract_into_tensor(sqrt_one_minus_alphas_cumprod, t, x0.shape) * noise)
-
-    @torch.no_grad()
-    def decode(self, x_latent, cond, t_start, unconditional_guidance_scale=1.0, unconditional_conditioning=None,
-               use_original_steps=False):
-
-        timesteps = np.arange(self.ddpm_num_timesteps) if use_original_steps else self.ddim_timesteps
-        timesteps = timesteps[:t_start]
-
-        time_range = np.flip(timesteps)
-        total_steps = timesteps.shape[0]
-        print(f"Running DDIM Sampling with {total_steps} timesteps")
-
-        iterator = tqdm(time_range, desc='Decoding image', total=total_steps)
-        x_dec = x_latent
-        for i, step in enumerate(iterator):
-            index = total_steps - i - 1
-            ts = torch.full((x_latent.shape[0],), step, device=x_latent.device, dtype=torch.long)
-            x_dec, _ = self.p_sample_ddim(x_dec, cond, ts, index=index, use_original_steps=use_original_steps,
-                                          unconditional_guidance_scale=unconditional_guidance_scale,
-                                          unconditional_conditioning=unconditional_conditioning)
-        return x_dec
\ No newline at end of file
diff --git a/spaces/Raspberry-ai/main/.env/lib/python3.11/site-packages/pip/_vendor/idna/package_data.py b/spaces/Raspberry-ai/main/.env/lib/python3.11/site-packages/pip/_vendor/idna/package_data.py
deleted file mode 100644
index 8501893bd153b7216524084cad23e90aeac0b1f8..0000000000000000000000000000000000000000
--- a/spaces/Raspberry-ai/main/.env/lib/python3.11/site-packages/pip/_vendor/idna/package_data.py
+++ /dev/null
@@ -1,2 +0,0 @@
-__version__ = '3.4'
-
diff --git a/spaces/Rayzggz/illi-Bert-VITS2/transforms.py b/spaces/Rayzggz/illi-Bert-VITS2/transforms.py
deleted file mode 100644
index a11f799e023864ff7082c1f49c0cc18351a13b47..0000000000000000000000000000000000000000
--- a/spaces/Rayzggz/illi-Bert-VITS2/transforms.py
+++ /dev/null
@@ -1,209 +0,0 @@
-import torch
-from torch.nn import functional as F
-
-import numpy as np
-
-
-DEFAULT_MIN_BIN_WIDTH = 1e-3
-DEFAULT_MIN_BIN_HEIGHT = 1e-3
-DEFAULT_MIN_DERIVATIVE = 1e-3
-
-
-def piecewise_rational_quadratic_transform(
-    inputs,
-    unnormalized_widths,
-    unnormalized_heights,
-    unnormalized_derivatives,
-    inverse=False,
-    tails=None,
-    tail_bound=1.0,
-    min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-    min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-    min_derivative=DEFAULT_MIN_DERIVATIVE,
-):
-    if tails is None:
-        spline_fn = rational_quadratic_spline
-        spline_kwargs = {}
-    else:
-        spline_fn = unconstrained_rational_quadratic_spline
-        spline_kwargs = {"tails": tails, "tail_bound": tail_bound}
-
-    outputs, logabsdet = spline_fn(
-        inputs=inputs,
-        unnormalized_widths=unnormalized_widths,
-        unnormalized_heights=unnormalized_heights,
-        unnormalized_derivatives=unnormalized_derivatives,
-        inverse=inverse,
-        min_bin_width=min_bin_width,
-        min_bin_height=min_bin_height,
-        min_derivative=min_derivative,
-        **spline_kwargs
-    )
-    return outputs, logabsdet
-
-
-def searchsorted(bin_locations, inputs, eps=1e-6):
-    bin_locations[..., -1] += eps
-    return torch.sum(inputs[..., None] >= bin_locations, dim=-1) - 1
-
-
-def unconstrained_rational_quadratic_spline(
-    inputs,
-    unnormalized_widths,
-    unnormalized_heights,
-    unnormalized_derivatives,
-    inverse=False,
-    tails="linear",
-    tail_bound=1.0,
-    min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-    min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-    min_derivative=DEFAULT_MIN_DERIVATIVE,
-):
-    inside_interval_mask = (inputs >= -tail_bound) & (inputs <= tail_bound)
-    outside_interval_mask = ~inside_interval_mask
-
-    outputs = torch.zeros_like(inputs)
-    logabsdet = torch.zeros_like(inputs)
-
-    if tails == "linear":
-        unnormalized_derivatives = F.pad(unnormalized_derivatives, pad=(1, 1))
-        constant = np.log(np.exp(1 - min_derivative) - 1)
-        unnormalized_derivatives[..., 0] = constant
-        unnormalized_derivatives[..., -1] = constant
-
-        outputs[outside_interval_mask] = inputs[outside_interval_mask]
-        logabsdet[outside_interval_mask] = 0
-    else:
-        raise RuntimeError("{} tails are not implemented.".format(tails))
-
-    (
-        outputs[inside_interval_mask],
-        logabsdet[inside_interval_mask],
-    ) = rational_quadratic_spline(
-        inputs=inputs[inside_interval_mask],
-        unnormalized_widths=unnormalized_widths[inside_interval_mask, :],
-        unnormalized_heights=unnormalized_heights[inside_interval_mask, :],
-        unnormalized_derivatives=unnormalized_derivatives[inside_interval_mask, :],
-        inverse=inverse,
-        left=-tail_bound,
-        right=tail_bound,
-        bottom=-tail_bound,
-        top=tail_bound,
-        min_bin_width=min_bin_width,
-        min_bin_height=min_bin_height,
-        min_derivative=min_derivative,
-    )
-
-    return outputs, logabsdet
-
-
-def rational_quadratic_spline(
-    inputs,
-    unnormalized_widths,
-    unnormalized_heights,
-    unnormalized_derivatives,
-    inverse=False,
-    left=0.0,
-    right=1.0,
-    bottom=0.0,
-    top=1.0,
-    min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-    min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-    min_derivative=DEFAULT_MIN_DERIVATIVE,
-):
-    if torch.min(inputs) < left or torch.max(inputs) > right:
-        raise ValueError("Input to a transform is not within its domain")
-
-    num_bins = unnormalized_widths.shape[-1]
-
-    if min_bin_width * num_bins > 1.0:
-        raise ValueError("Minimal bin width too large for the number of bins")
-    if min_bin_height * num_bins > 1.0:
-        raise ValueError("Minimal bin height too large for the number of bins")
-
-    widths = F.softmax(unnormalized_widths, dim=-1)
-    widths = min_bin_width + (1 - min_bin_width * num_bins) * widths
-    cumwidths = torch.cumsum(widths, dim=-1)
-    cumwidths = F.pad(cumwidths, pad=(1, 0), mode="constant", value=0.0)
-    cumwidths = (right - left) * cumwidths + left
-    cumwidths[..., 0] = left
-    cumwidths[..., -1] = right
-    widths = cumwidths[..., 1:] - cumwidths[..., :-1]
-
-    derivatives = min_derivative + F.softplus(unnormalized_derivatives)
-
-    heights = F.softmax(unnormalized_heights, dim=-1)
-    heights = min_bin_height + (1 - min_bin_height * num_bins) * heights
-    cumheights = torch.cumsum(heights, dim=-1)
-    cumheights = F.pad(cumheights, pad=(1, 0), mode="constant", value=0.0)
-    cumheights = (top - bottom) * cumheights + bottom
-    cumheights[..., 0] = bottom
-    cumheights[..., -1] = top
-    heights = cumheights[..., 1:] - cumheights[..., :-1]
-
-    if inverse:
-        bin_idx = searchsorted(cumheights, inputs)[..., None]
-    else:
-        bin_idx = searchsorted(cumwidths, inputs)[..., None]
-
-    input_cumwidths = cumwidths.gather(-1, bin_idx)[..., 0]
-    input_bin_widths = widths.gather(-1, bin_idx)[..., 0]
-
-    input_cumheights = cumheights.gather(-1, bin_idx)[..., 0]
-    delta = heights / widths
-    input_delta = delta.gather(-1, bin_idx)[..., 0]
-
-    input_derivatives = derivatives.gather(-1, bin_idx)[..., 0]
-    input_derivatives_plus_one = derivatives[..., 1:].gather(-1, bin_idx)[..., 0]
-
-    input_heights = heights.gather(-1, bin_idx)[..., 0]
-
-    if inverse:
-        a = (inputs - input_cumheights) * (
-            input_derivatives + input_derivatives_plus_one - 2 * input_delta
-        ) + input_heights * (input_delta - input_derivatives)
-        b = input_heights * input_derivatives - (inputs - input_cumheights) * (
-            input_derivatives + input_derivatives_plus_one - 2 * input_delta
-        )
-        c = -input_delta * (inputs - input_cumheights)
-
-        discriminant = b.pow(2) - 4 * a * c
-        assert (discriminant >= 0).all()
-
-        root = (2 * c) / (-b - torch.sqrt(discriminant))
-        outputs = root * input_bin_widths + input_cumwidths
-
-        theta_one_minus_theta = root * (1 - root)
-        denominator = input_delta + (
-            (input_derivatives + input_derivatives_plus_one - 2 * input_delta)
-            * theta_one_minus_theta
-        )
-        derivative_numerator = input_delta.pow(2) * (
-            input_derivatives_plus_one * root.pow(2)
-            + 2 * input_delta * theta_one_minus_theta
-            + input_derivatives * (1 - root).pow(2)
-        )
-        logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
-
-        return outputs, -logabsdet
-    else:
-        theta = (inputs - input_cumwidths) / input_bin_widths
-        theta_one_minus_theta = theta * (1 - theta)
-
-        numerator = input_heights * (
-            input_delta * theta.pow(2) + input_derivatives * theta_one_minus_theta
-        )
-        denominator = input_delta + (
-            (input_derivatives + input_derivatives_plus_one - 2 * input_delta)
-            * theta_one_minus_theta
-        )
-        outputs = input_cumheights + numerator / denominator
-
-        derivative_numerator = input_delta.pow(2) * (
-            input_derivatives_plus_one * theta.pow(2)
-            + 2 * input_delta * theta_one_minus_theta
-            + input_derivatives * (1 - theta).pow(2)
-        )
-        logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
-
-        return outputs, logabsdet
diff --git a/spaces/RealTimeLiveAIForHealth/WebcamObjectRecognition/models.py b/spaces/RealTimeLiveAIForHealth/WebcamObjectRecognition/models.py
deleted file mode 100644
index 0f0ae7e84da69f9805bc3a20463e9db488cac889..0000000000000000000000000000000000000000
--- a/spaces/RealTimeLiveAIForHealth/WebcamObjectRecognition/models.py
+++ /dev/null
@@ -1,530 +0,0 @@
-import numpy as np
-import cv2
-import os
-import json
-from tqdm import tqdm
-from glob import glob
-import matplotlib.pyplot as plt
-import tensorflow as tf
-from tensorflow.keras import layers, models, optimizers
-
-from custom_layers import yolov4_neck, yolov4_head, nms
-from utils import load_weights, get_detection_data, draw_bbox, voc_ap, draw_plot_func, read_txt_to_list
-from config import yolo_config
-from loss import yolo_loss
-
-
-class Yolov4(object):
-    def __init__(self,
-                 weight_path=None,
-                 class_name_path='coco_classes.txt',
-                 config=yolo_config,
-                 ):
-        assert config['img_size'][0] == config['img_size'][1], 'not support yet'
-        assert config['img_size'][0] % config['strides'][-1] == 0, 'must be a multiple of last stride'
-        self.class_names = [line.strip() for line in open(class_name_path).readlines()]
-        self.img_size = yolo_config['img_size']
-        self.num_classes = len(self.class_names)
-        self.weight_path = weight_path
-        self.anchors = np.array(yolo_config['anchors']).reshape((3, 3, 2))
-        self.xyscale = yolo_config['xyscale']
-        self.strides = yolo_config['strides']
-        self.output_sizes = [self.img_size[0] // s for s in self.strides]
-        self.class_color = {name: list(np.random.random(size=3)*255) for name in self.class_names}
-        # Training
-        self.max_boxes = yolo_config['max_boxes']
-        self.iou_loss_thresh = yolo_config['iou_loss_thresh']
-        self.config = yolo_config
-        assert self.num_classes > 0, 'no classes detected!'
-
-        tf.keras.backend.clear_session()
-        if yolo_config['num_gpu'] > 1:
-            mirrored_strategy = tf.distribute.MirroredStrategy()
-            with mirrored_strategy.scope():
-                self.build_model(load_pretrained=True if self.weight_path else False)
-        else:
-            self.build_model(load_pretrained=True if self.weight_path else False)
-
-    def build_model(self, load_pretrained=True):
-        # core yolo model
-        input_layer = layers.Input(self.img_size)
-        yolov4_output = yolov4_neck(input_layer, self.num_classes)
-        self.yolo_model = models.Model(input_layer, yolov4_output)
-
-        # Build training model
-        y_true = [
-            layers.Input(name='input_2', shape=(52, 52, 3, (self.num_classes + 5))),  # label small boxes
-            layers.Input(name='input_3', shape=(26, 26, 3, (self.num_classes + 5))),  # label medium boxes
-            layers.Input(name='input_4', shape=(13, 13, 3, (self.num_classes + 5))),  # label large boxes
-            layers.Input(name='input_5', shape=(self.max_boxes, 4)),  # true bboxes
-        ]
-        loss_list = tf.keras.layers.Lambda(yolo_loss, name='yolo_loss',
-                                           arguments={'num_classes': self.num_classes,
-                                                      'iou_loss_thresh': self.iou_loss_thresh,
-                                                      'anchors': self.anchors})([*self.yolo_model.output, *y_true])
-        self.training_model = models.Model([self.yolo_model.input, *y_true], loss_list)
-
-        # Build inference model
-        yolov4_output = yolov4_head(yolov4_output, self.num_classes, self.anchors, self.xyscale)
-        # output: [boxes, scores, classes, valid_detections]
-        self.inference_model = models.Model(input_layer,
-                                            nms(yolov4_output, self.img_size, self.num_classes,
-                                                iou_threshold=self.config['iou_threshold'],
-                                                score_threshold=self.config['score_threshold']))
-
-        if load_pretrained and self.weight_path and self.weight_path.endswith('.weights'):
-            if self.weight_path.endswith('.weights'):
-                load_weights(self.yolo_model, self.weight_path)
-                print(f'load from {self.weight_path}')
-            elif self.weight_path.endswith('.h5'):
-                self.training_model.load_weights(self.weight_path)
-                print(f'load from {self.weight_path}')
-
-        self.training_model.compile(optimizer=optimizers.Adam(lr=1e-3),
-                                    loss={'yolo_loss': lambda y_true, y_pred: y_pred})
-
-    def load_model(self, path):
-        self.yolo_model = models.load_model(path, compile=False)
-        yolov4_output = yolov4_head(self.yolo_model.output, self.num_classes, self.anchors, self.xyscale)
-        self.inference_model = models.Model(self.yolo_model.input,
-                                            nms(yolov4_output, self.img_size, self.num_classes))  # [boxes, scores, classes, valid_detections]
-
-    def save_model(self, path):
-        self.yolo_model.save(path)
-
-    def preprocess_img(self, img):
-        img = cv2.resize(img, self.img_size[:2])
-        img = img / 255.
-        return img
-
-    def fit(self, train_data_gen, epochs, val_data_gen=None, initial_epoch=0, callbacks=None):
-        self.training_model.fit(train_data_gen,
-                                steps_per_epoch=len(train_data_gen),
-                                validation_data=val_data_gen,
-                                validation_steps=len(val_data_gen),
-                                epochs=epochs,
-                                callbacks=callbacks,
-                                initial_epoch=initial_epoch)
-    # raw_img: RGB
-    def predict_img(self, raw_img, random_color=True, plot_img=True, figsize=(10, 10), show_text=True, return_output=True):
-        print('img shape: ', raw_img.shape)
-        img = self.preprocess_img(raw_img)
-        imgs = np.expand_dims(img, axis=0)
-        pred_output = self.inference_model.predict(imgs)
-        detections = get_detection_data(img=raw_img,
-                                        model_outputs=pred_output,
-                                        class_names=self.class_names)
-
-        output_img = draw_bbox(raw_img, detections, cmap=self.class_color, random_color=random_color, figsize=figsize,
-                  show_text=show_text, show_img=False)
-        if return_output:
-            return output_img, detections
-        else:
-            return detections
-
-    def predict(self, img_path, random_color=True, plot_img=True, figsize=(10, 10), show_text=True):
-        raw_img = img_path
-        return self.predict_img(raw_img, random_color, plot_img, figsize, show_text)
-
-    def export_gt(self, annotation_path, gt_folder_path):
-        with open(annotation_path) as file:
-            for line in file:
-                line = line.split(' ')
-                filename = line[0].split(os.sep)[-1].split('.')[0]
-                objs = line[1:]
-                # export txt file
-                with open(os.path.join(gt_folder_path, filename + '.txt'), 'w') as output_file:
-                    for obj in objs:
-                        x_min, y_min, x_max, y_max, class_id = [float(o) for o in obj.strip().split(',')]
-                        output_file.write(f'{self.class_names[int(class_id)]} {x_min} {y_min} {x_max} {y_max}\n')
-
-    def export_prediction(self, annotation_path, pred_folder_path, img_folder_path, bs=2):
-        with open(annotation_path) as file:
-            img_paths = [os.path.join(img_folder_path, line.split(' ')[0].split(os.sep)[-1]) for line in file]
-            # print(img_paths[:20])
-            for batch_idx in tqdm(range(0, len(img_paths), bs)):
-                # print(len(img_paths), batch_idx, batch_idx*bs, (batch_idx+1)*bs)
-                paths = img_paths[batch_idx:batch_idx+bs]
-                # print(paths)
-                # read and process img
-                imgs = np.zeros((len(paths), *self.img_size))
-                raw_img_shapes = []
-                for j, path in enumerate(paths):
-                    img = cv2.imread(path)
-                    raw_img_shapes.append(img.shape)
-                    img = self.preprocess_img(img)
-                    imgs[j] = img
-
-                # process batch output
-                b_boxes, b_scores, b_classes, b_valid_detections = self.inference_model.predict(imgs)
-                for k in range(len(paths)):
-                    num_boxes = b_valid_detections[k]
-                    raw_img_shape = raw_img_shapes[k]
-                    boxes = b_boxes[k, :num_boxes]
-                    classes = b_classes[k, :num_boxes]
-                    scores = b_scores[k, :num_boxes]
-                    # print(raw_img_shape)
-                    boxes[:, [0, 2]] = (boxes[:, [0, 2]] * raw_img_shape[1])  # w
-                    boxes[:, [1, 3]] = (boxes[:, [1, 3]] * raw_img_shape[0])  # h
-                    cls_names = [self.class_names[int(c)] for c in classes]
-                    # print(raw_img_shape, boxes.astype(int), cls_names, scores)
-
-                    img_path = paths[k]
-                    filename = img_path.split(os.sep)[-1].split('.')[0]
-                    # print(filename)
-                    output_path = os.path.join(pred_folder_path, filename+'.txt')
-                    with open(output_path, 'w') as pred_file:
-                        for box_idx in range(num_boxes):
-                            b = boxes[box_idx]
-                            pred_file.write(f'{cls_names[box_idx]} {scores[box_idx]} {b[0]} {b[1]} {b[2]} {b[3]}\n')
-
-
-    def eval_map(self, gt_folder_path, pred_folder_path, temp_json_folder_path, output_files_path):
-        """Process Gt"""
-        ground_truth_files_list = glob(gt_folder_path + '/*.txt')
-        assert len(ground_truth_files_list) > 0, 'no ground truth file'
-        ground_truth_files_list.sort()
-        # dictionary with counter per class
-        gt_counter_per_class = {}
-        counter_images_per_class = {}
-
-        gt_files = []
-        for txt_file in ground_truth_files_list:
-            file_id = txt_file.split(".txt", 1)[0]
-            file_id = os.path.basename(os.path.normpath(file_id))
-            # check if there is a correspondent detection-results file
-            temp_path = os.path.join(pred_folder_path, (file_id + ".txt"))
-            assert os.path.exists(temp_path), "Error. File not found: {}\n".format(temp_path)
-            lines_list = read_txt_to_list(txt_file)
-            # create ground-truth dictionary
-            bounding_boxes = []
-            is_difficult = False
-            already_seen_classes = []
-            for line in lines_list:
-                class_name, left, top, right, bottom = line.split()
-                # check if class is in the ignore list, if yes skip
-                bbox = left + " " + top + " " + right + " " + bottom
-                bounding_boxes.append({"class_name": class_name, "bbox": bbox, "used": False})
-                # count that object
-                if class_name in gt_counter_per_class:
-                    gt_counter_per_class[class_name] += 1
-                else:
-                    # if class didn't exist yet
-                    gt_counter_per_class[class_name] = 1
-
-                if class_name not in already_seen_classes:
-                    if class_name in counter_images_per_class:
-                        counter_images_per_class[class_name] += 1
-                    else:
-                        # if class didn't exist yet
-                        counter_images_per_class[class_name] = 1
-                    already_seen_classes.append(class_name)
-
-            # dump bounding_boxes into a ".json" file
-            new_temp_file = os.path.join(temp_json_folder_path, file_id+"_ground_truth.json") #TEMP_FILES_PATH + "/" + file_id + "_ground_truth.json"
-            gt_files.append(new_temp_file)
-            with open(new_temp_file, 'w') as outfile:
-                json.dump(bounding_boxes, outfile)
-
-        gt_classes = list(gt_counter_per_class.keys())
-        # let's sort the classes alphabetically
-        gt_classes = sorted(gt_classes)
-        n_classes = len(gt_classes)
-        print(gt_classes, gt_counter_per_class)
-
-        """Process prediction"""
-
-        dr_files_list = sorted(glob(os.path.join(pred_folder_path, '*.txt')))
-
-        for class_index, class_name in enumerate(gt_classes):
-            bounding_boxes = []
-            for txt_file in dr_files_list:
-                # the first time it checks if all the corresponding ground-truth files exist
-                file_id = txt_file.split(".txt", 1)[0]
-                file_id = os.path.basename(os.path.normpath(file_id))
-                temp_path = os.path.join(gt_folder_path, (file_id + ".txt"))
-                if class_index == 0:
-                    if not os.path.exists(temp_path):
-                        error_msg = f"Error. File not found: {temp_path}\n"
-                        print(error_msg)
-                lines = read_txt_to_list(txt_file)
-                for line in lines:
-                    try:
-                        tmp_class_name, confidence, left, top, right, bottom = line.split()
-                    except ValueError:
-                        error_msg = f"""Error: File {txt_file} in the wrong format.\n 
-                                        Expected: <class_name> <confidence> <left> <top> <right> <bottom>\n 
-                                        Received: {line} \n"""
-                        print(error_msg)
-                    if tmp_class_name == class_name:
-                        # print("match")
-                        bbox = left + " " + top + " " + right + " " + bottom
-                        bounding_boxes.append({"confidence": confidence, "file_id": file_id, "bbox": bbox})
-            # sort detection-results by decreasing confidence
-            bounding_boxes.sort(key=lambda x: float(x['confidence']), reverse=True)
-            with open(temp_json_folder_path + "/" + class_name + "_dr.json", 'w') as outfile:
-                json.dump(bounding_boxes, outfile)
-
-        """
-         Calculate the AP for each class
-        """
-        sum_AP = 0.0
-        ap_dictionary = {}
-        # open file to store the output
-        with open(output_files_path + "/output.txt", 'w') as output_file:
-            output_file.write("# AP and precision/recall per class\n")
-            count_true_positives = {}
-            for class_index, class_name in enumerate(gt_classes):
-                count_true_positives[class_name] = 0
-                """
-                 Load detection-results of that class
-                """
-                dr_file = temp_json_folder_path + "/" + class_name + "_dr.json"
-                dr_data = json.load(open(dr_file))
-
-                """
-                 Assign detection-results to ground-truth objects
-                """
-                nd = len(dr_data)
-                tp = [0] * nd  # creates an array of zeros of size nd
-                fp = [0] * nd
-                for idx, detection in enumerate(dr_data):
-                    file_id = detection["file_id"]
-                    gt_file = temp_json_folder_path + "/" + file_id + "_ground_truth.json"
-                    ground_truth_data = json.load(open(gt_file))
-                    ovmax = -1
-                    gt_match = -1
-                    # load detected object bounding-box
-                    bb = [float(x) for x in detection["bbox"].split()]
-                    for obj in ground_truth_data:
-                        # look for a class_name match
-                        if obj["class_name"] == class_name:
-                            bbgt = [float(x) for x in obj["bbox"].split()]
-                            bi = [max(bb[0], bbgt[0]), max(bb[1], bbgt[1]), min(bb[2], bbgt[2]), min(bb[3], bbgt[3])]
-                            iw = bi[2] - bi[0] + 1
-                            ih = bi[3] - bi[1] + 1
-                            if iw > 0 and ih > 0:
-                                # compute overlap (IoU) = area of intersection / area of union
-                                ua = (bb[2] - bb[0] + 1) * (bb[3] - bb[1] + 1) + \
-                                     (bbgt[2] - bbgt[0]+ 1) * (bbgt[3] - bbgt[1] + 1) - iw * ih
-                                ov = iw * ih / ua
-                                if ov > ovmax:
-                                    ovmax = ov
-                                    gt_match = obj
-
-                    min_overlap = 0.5
-                    if ovmax >= min_overlap:
-                        # if "difficult" not in gt_match:
-                        if not bool(gt_match["used"]):
-                            # true positive
-                            tp[idx] = 1
-                            gt_match["used"] = True
-                            count_true_positives[class_name] += 1
-                            # update the ".json" file
-                            with open(gt_file, 'w') as f:
-                                f.write(json.dumps(ground_truth_data))
-                        else:
-                            # false positive (multiple detection)
-                            fp[idx] = 1
-                    else:
-                        fp[idx] = 1
-
-
-                # compute precision/recall
-                cumsum = 0
-                for idx, val in enumerate(fp):
-                    fp[idx] += cumsum
-                    cumsum += val
-                print('fp ', cumsum)
-                cumsum = 0
-                for idx, val in enumerate(tp):
-                    tp[idx] += cumsum
-                    cumsum += val
-                print('tp ', cumsum)
-                rec = tp[:]
-                for idx, val in enumerate(tp):
-                    rec[idx] = float(tp[idx]) / gt_counter_per_class[class_name]
-                print('recall ', cumsum)
-                prec = tp[:]
-                for idx, val in enumerate(tp):
-                    prec[idx] = float(tp[idx]) / (fp[idx] + tp[idx])
-                print('prec ', cumsum)
-
-                ap, mrec, mprec = voc_ap(rec[:], prec[:])
-                sum_AP += ap
-                text = "{0:.2f}%".format(
-                    ap * 100) + " = " + class_name + " AP "  # class_name + " AP = {0:.2f}%".format(ap*100)
-
-                print(text)
-                ap_dictionary[class_name] = ap
-
-                n_images = counter_images_per_class[class_name]
-                # lamr, mr, fppi = log_average_miss_rate(np.array(prec), np.array(rec), n_images)
-                # lamr_dictionary[class_name] = lamr
-
-                """
-                 Draw plot
-                """
-                if True:
-                    plt.plot(rec, prec, '-o')
-                    # add a new penultimate point to the list (mrec[-2], 0.0)
-                    # since the last line segment (and respective area) do not affect the AP value
-                    area_under_curve_x = mrec[:-1] + [mrec[-2]] + [mrec[-1]]
-                    area_under_curve_y = mprec[:-1] + [0.0] + [mprec[-1]]
-                    plt.fill_between(area_under_curve_x, 0, area_under_curve_y, alpha=0.2, edgecolor='r')
-                    # set window title
-                    fig = plt.gcf()  # gcf - get current figure
-                    fig.canvas.set_window_title('AP ' + class_name)
-                    # set plot title
-                    plt.title('class: ' + text)
-                    # plt.suptitle('This is a somewhat long figure title', fontsize=16)
-                    # set axis titles
-                    plt.xlabel('Recall')
-                    plt.ylabel('Precision')
-                    # optional - set axes
-                    axes = plt.gca()  # gca - get current axes
-                    axes.set_xlim([0.0, 1.0])
-                    axes.set_ylim([0.0, 1.05])  # .05 to give some extra space
-                    # Alternative option -> wait for button to be pressed
-                    # while not plt.waitforbuttonpress(): pass # wait for key display
-                    # Alternative option -> normal display
-                    plt.show()
-                    # save the plot
-                    # fig.savefig(output_files_path + "/classes/" + class_name + ".png")
-                    # plt.cla()  # clear axes for next plot
-
-            # if show_animation:
-            #     cv2.destroyAllWindows()
-
-            output_file.write("\n# mAP of all classes\n")
-            mAP = sum_AP / n_classes
-            text = "mAP = {0:.2f}%".format(mAP * 100)
-            output_file.write(text + "\n")
-            print(text)
-
-        """
-         Count total of detection-results
-        """
-        # iterate through all the files
-        det_counter_per_class = {}
-        for txt_file in dr_files_list:
-            # get lines to list
-            lines_list = read_txt_to_list(txt_file)
-            for line in lines_list:
-                class_name = line.split()[0]
-                # check if class is in the ignore list, if yes skip
-                # if class_name in args.ignore:
-                #     continue
-                # count that object
-                if class_name in det_counter_per_class:
-                    det_counter_per_class[class_name] += 1
-                else:
-                    # if class didn't exist yet
-                    det_counter_per_class[class_name] = 1
-        # print(det_counter_per_class)
-        dr_classes = list(det_counter_per_class.keys())
-
-        """
-         Plot the total number of occurences of each class in the ground-truth
-        """
-        if True:
-            window_title = "ground-truth-info"
-            plot_title = "ground-truth\n"
-            plot_title += "(" + str(len(ground_truth_files_list)) + " files and " + str(n_classes) + " classes)"
-            x_label = "Number of objects per class"
-            output_path = output_files_path + "/ground-truth-info.png"
-            to_show = False
-            plot_color = 'forestgreen'
-            draw_plot_func(
-                gt_counter_per_class,
-                n_classes,
-                window_title,
-                plot_title,
-                x_label,
-                output_path,
-                to_show,
-                plot_color,
-                '',
-            )
-
-        """
-         Finish counting true positives
-        """
-        for class_name in dr_classes:
-            # if class exists in detection-result but not in ground-truth then there are no true positives in that class
-            if class_name not in gt_classes:
-                count_true_positives[class_name] = 0
-        # print(count_true_positives)
-
-        """
-         Plot the total number of occurences of each class in the "detection-results" folder
-        """
-        if True:
-            window_title = "detection-results-info"
-            # Plot title
-            plot_title = "detection-results\n"
-            plot_title += "(" + str(len(dr_files_list)) + " files and "
-            count_non_zero_values_in_dictionary = sum(int(x) > 0 for x in list(det_counter_per_class.values()))
-            plot_title += str(count_non_zero_values_in_dictionary) + " detected classes)"
-            # end Plot title
-            x_label = "Number of objects per class"
-            output_path = output_files_path + "/detection-results-info.png"
-            to_show = False
-            plot_color = 'forestgreen'
-            true_p_bar = count_true_positives
-            draw_plot_func(
-                det_counter_per_class,
-                len(det_counter_per_class),
-                window_title,
-                plot_title,
-                x_label,
-                output_path,
-                to_show,
-                plot_color,
-                true_p_bar
-            )
-
-        """
-         Draw mAP plot (Show AP's of all classes in decreasing order)
-        """
-        if True:
-            window_title = "mAP"
-            plot_title = "mAP = {0:.2f}%".format(mAP * 100)
-            x_label = "Average Precision"
-            output_path = output_files_path + "/mAP.png"
-            to_show = True
-            plot_color = 'royalblue'
-            draw_plot_func(
-                ap_dictionary,
-                n_classes,
-                window_title,
-                plot_title,
-                x_label,
-                output_path,
-                to_show,
-                plot_color,
-                ""
-            )
-
-    def predict_raw(self, img_path):
-        raw_img = cv2.imread(img_path)
-        print('img shape: ', raw_img.shape)
-        img = self.preprocess_img(raw_img)
-        imgs = np.expand_dims(img, axis=0)
-        return self.yolo_model.predict(imgs)
-
-    def predict_nonms(self, img_path, iou_threshold=0.413, score_threshold=0.1):
-        raw_img = cv2.imread(img_path)
-        print('img shape: ', raw_img.shape)
-        img = self.preprocess_img(raw_img)
-        imgs = np.expand_dims(img, axis=0)
-        yolov4_output = self.yolo_model.predict(imgs)
-        output = yolov4_head(yolov4_output, self.num_classes, self.anchors, self.xyscale)
-        pred_output = nms(output, self.img_size, self.num_classes, iou_threshold, score_threshold)
-        pred_output = [p.numpy() for p in pred_output]
-        detections = get_detection_data(img=raw_img,
-                                        model_outputs=pred_output,
-                                        class_names=self.class_names)
-        draw_bbox(raw_img, detections, cmap=self.class_color, random_color=True)
-        return detections
-
diff --git a/spaces/Realcat/image-matching-webui/third_party/DeDoDe/DeDoDe/encoder.py b/spaces/Realcat/image-matching-webui/third_party/DeDoDe/DeDoDe/encoder.py
deleted file mode 100644
index 2aebb1c5ac890c77d01774ab74caed460c2ff028..0000000000000000000000000000000000000000
--- a/spaces/Realcat/image-matching-webui/third_party/DeDoDe/DeDoDe/encoder.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import torch
-import torch.nn as nn
-import torchvision.models as tvm
-
-
-class VGG19(nn.Module):
-    def __init__(self, pretrained=False, amp=False, amp_dtype=torch.float16) -> None:
-        super().__init__()
-        self.layers = nn.ModuleList(tvm.vgg19_bn(pretrained=pretrained).features[:40])
-        # Maxpool layers: 6, 13, 26, 39
-        self.amp = amp
-        self.amp_dtype = amp_dtype
-
-    def forward(self, x, **kwargs):
-        with torch.autocast("cuda", enabled=self.amp, dtype=self.amp_dtype):
-            feats = []
-            sizes = []
-            for layer in self.layers:
-                if isinstance(layer, nn.MaxPool2d):
-                    feats.append(x)
-                    sizes.append(x.shape[-2:])
-                x = layer(x)
-            return feats, sizes
-
-
-class VGG(nn.Module):
-    def __init__(
-        self, size="19", pretrained=False, amp=False, amp_dtype=torch.float16
-    ) -> None:
-        super().__init__()
-        if size == "11":
-            self.layers = nn.ModuleList(
-                tvm.vgg11_bn(pretrained=pretrained).features[:22]
-            )
-        elif size == "13":
-            self.layers = nn.ModuleList(
-                tvm.vgg13_bn(pretrained=pretrained).features[:28]
-            )
-        elif size == "19":
-            self.layers = nn.ModuleList(
-                tvm.vgg19_bn(pretrained=pretrained).features[:40]
-            )
-        # Maxpool layers: 6, 13, 26, 39
-        self.amp = amp
-        self.amp_dtype = amp_dtype
-
-    def forward(self, x, **kwargs):
-        with torch.autocast("cuda", enabled=self.amp, dtype=self.amp_dtype):
-            feats = []
-            sizes = []
-            for layer in self.layers:
-                if isinstance(layer, nn.MaxPool2d):
-                    feats.append(x)
-                    sizes.append(x.shape[-2:])
-                x = layer(x)
-            return feats, sizes
diff --git a/spaces/RegalHyperus/rvc-lovelive-genshin/infer_pack/models_onnx_moess.py b/spaces/RegalHyperus/rvc-lovelive-genshin/infer_pack/models_onnx_moess.py
deleted file mode 100644
index 12efb0629a2e3d0d746a34f467254536c2bdbe5f..0000000000000000000000000000000000000000
--- a/spaces/RegalHyperus/rvc-lovelive-genshin/infer_pack/models_onnx_moess.py
+++ /dev/null
@@ -1,849 +0,0 @@
-import math, pdb, os
-from time import time as ttime
-import torch
-from torch import nn
-from torch.nn import functional as F
-from infer_pack import modules
-from infer_pack import attentions
-from infer_pack import commons
-from infer_pack.commons import init_weights, get_padding
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
-from infer_pack.commons import init_weights
-import numpy as np
-from infer_pack import commons
-
-
-class TextEncoder256(nn.Module):
-    def __init__(
-        self,
-        out_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        f0=True,
-    ):
-        super().__init__()
-        self.out_channels = out_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.emb_phone = nn.Linear(256, hidden_channels)
-        self.lrelu = nn.LeakyReLU(0.1, inplace=True)
-        if f0 == True:
-            self.emb_pitch = nn.Embedding(256, hidden_channels)  # pitch 256
-        self.encoder = attentions.Encoder(
-            hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout
-        )
-        self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
-
-    def forward(self, phone, pitch, lengths):
-        if pitch == None:
-            x = self.emb_phone(phone)
-        else:
-            x = self.emb_phone(phone) + self.emb_pitch(pitch)
-        x = x * math.sqrt(self.hidden_channels)  # [b, t, h]
-        x = self.lrelu(x)
-        x = torch.transpose(x, 1, -1)  # [b, h, t]
-        x_mask = torch.unsqueeze(commons.sequence_mask(lengths, x.size(2)), 1).to(
-            x.dtype
-        )
-        x = self.encoder(x * x_mask, x_mask)
-        stats = self.proj(x) * x_mask
-
-        m, logs = torch.split(stats, self.out_channels, dim=1)
-        return m, logs, x_mask
-
-
-class TextEncoder256Sim(nn.Module):
-    def __init__(
-        self,
-        out_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        f0=True,
-    ):
-        super().__init__()
-        self.out_channels = out_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.emb_phone = nn.Linear(256, hidden_channels)
-        self.lrelu = nn.LeakyReLU(0.1, inplace=True)
-        if f0 == True:
-            self.emb_pitch = nn.Embedding(256, hidden_channels)  # pitch 256
-        self.encoder = attentions.Encoder(
-            hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout
-        )
-        self.proj = nn.Conv1d(hidden_channels, out_channels, 1)
-
-    def forward(self, phone, pitch, lengths):
-        if pitch == None:
-            x = self.emb_phone(phone)
-        else:
-            x = self.emb_phone(phone) + self.emb_pitch(pitch)
-        x = x * math.sqrt(self.hidden_channels)  # [b, t, h]
-        x = self.lrelu(x)
-        x = torch.transpose(x, 1, -1)  # [b, h, t]
-        x_mask = torch.unsqueeze(commons.sequence_mask(lengths, x.size(2)), 1).to(
-            x.dtype
-        )
-        x = self.encoder(x * x_mask, x_mask)
-        x = self.proj(x) * x_mask
-        return x, x_mask
-
-
-class ResidualCouplingBlock(nn.Module):
-    def __init__(
-        self,
-        channels,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        n_flows=4,
-        gin_channels=0,
-    ):
-        super().__init__()
-        self.channels = channels
-        self.hidden_channels = hidden_channels
-        self.kernel_size = kernel_size
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.n_flows = n_flows
-        self.gin_channels = gin_channels
-
-        self.flows = nn.ModuleList()
-        for i in range(n_flows):
-            self.flows.append(
-                modules.ResidualCouplingLayer(
-                    channels,
-                    hidden_channels,
-                    kernel_size,
-                    dilation_rate,
-                    n_layers,
-                    gin_channels=gin_channels,
-                    mean_only=True,
-                )
-            )
-            self.flows.append(modules.Flip())
-
-    def forward(self, x, x_mask, g=None, reverse=False):
-        if not reverse:
-            for flow in self.flows:
-                x, _ = flow(x, x_mask, g=g, reverse=reverse)
-        else:
-            for flow in reversed(self.flows):
-                x = flow(x, x_mask, g=g, reverse=reverse)
-        return x
-
-    def remove_weight_norm(self):
-        for i in range(self.n_flows):
-            self.flows[i * 2].remove_weight_norm()
-
-
-class PosteriorEncoder(nn.Module):
-    def __init__(
-        self,
-        in_channels,
-        out_channels,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        gin_channels=0,
-    ):
-        super().__init__()
-        self.in_channels = in_channels
-        self.out_channels = out_channels
-        self.hidden_channels = hidden_channels
-        self.kernel_size = kernel_size
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.gin_channels = gin_channels
-
-        self.pre = nn.Conv1d(in_channels, hidden_channels, 1)
-        self.enc = modules.WN(
-            hidden_channels,
-            kernel_size,
-            dilation_rate,
-            n_layers,
-            gin_channels=gin_channels,
-        )
-        self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
-
-    def forward(self, x, x_lengths, g=None):
-        x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to(
-            x.dtype
-        )
-        x = self.pre(x) * x_mask
-        x = self.enc(x, x_mask, g=g)
-        stats = self.proj(x) * x_mask
-        m, logs = torch.split(stats, self.out_channels, dim=1)
-        z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask
-        return z, m, logs, x_mask
-
-    def remove_weight_norm(self):
-        self.enc.remove_weight_norm()
-
-
-class Generator(torch.nn.Module):
-    def __init__(
-        self,
-        initial_channel,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        gin_channels=0,
-    ):
-        super(Generator, self).__init__()
-        self.num_kernels = len(resblock_kernel_sizes)
-        self.num_upsamples = len(upsample_rates)
-        self.conv_pre = Conv1d(
-            initial_channel, upsample_initial_channel, 7, 1, padding=3
-        )
-        resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2
-
-        self.ups = nn.ModuleList()
-        for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)):
-            self.ups.append(
-                weight_norm(
-                    ConvTranspose1d(
-                        upsample_initial_channel // (2**i),
-                        upsample_initial_channel // (2 ** (i + 1)),
-                        k,
-                        u,
-                        padding=(k - u) // 2,
-                    )
-                )
-            )
-
-        self.resblocks = nn.ModuleList()
-        for i in range(len(self.ups)):
-            ch = upsample_initial_channel // (2 ** (i + 1))
-            for j, (k, d) in enumerate(
-                zip(resblock_kernel_sizes, resblock_dilation_sizes)
-            ):
-                self.resblocks.append(resblock(ch, k, d))
-
-        self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False)
-        self.ups.apply(init_weights)
-
-        if gin_channels != 0:
-            self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1)
-
-    def forward(self, x, g=None):
-        x = self.conv_pre(x)
-        if g is not None:
-            x = x + self.cond(g)
-
-        for i in range(self.num_upsamples):
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            x = self.ups[i](x)
-            xs = None
-            for j in range(self.num_kernels):
-                if xs is None:
-                    xs = self.resblocks[i * self.num_kernels + j](x)
-                else:
-                    xs += self.resblocks[i * self.num_kernels + j](x)
-            x = xs / self.num_kernels
-        x = F.leaky_relu(x)
-        x = self.conv_post(x)
-        x = torch.tanh(x)
-
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.ups:
-            remove_weight_norm(l)
-        for l in self.resblocks:
-            l.remove_weight_norm()
-
-
-class SineGen(torch.nn.Module):
-    """Definition of sine generator
-    SineGen(samp_rate, harmonic_num = 0,
-            sine_amp = 0.1, noise_std = 0.003,
-            voiced_threshold = 0,
-            flag_for_pulse=False)
-    samp_rate: sampling rate in Hz
-    harmonic_num: number of harmonic overtones (default 0)
-    sine_amp: amplitude of sine-wavefrom (default 0.1)
-    noise_std: std of Gaussian noise (default 0.003)
-    voiced_thoreshold: F0 threshold for U/V classification (default 0)
-    flag_for_pulse: this SinGen is used inside PulseGen (default False)
-    Note: when flag_for_pulse is True, the first time step of a voiced
-        segment is always sin(np.pi) or cos(0)
-    """
-
-    def __init__(
-        self,
-        samp_rate,
-        harmonic_num=0,
-        sine_amp=0.1,
-        noise_std=0.003,
-        voiced_threshold=0,
-        flag_for_pulse=False,
-    ):
-        super(SineGen, self).__init__()
-        self.sine_amp = sine_amp
-        self.noise_std = noise_std
-        self.harmonic_num = harmonic_num
-        self.dim = self.harmonic_num + 1
-        self.sampling_rate = samp_rate
-        self.voiced_threshold = voiced_threshold
-
-    def _f02uv(self, f0):
-        # generate uv signal
-        uv = torch.ones_like(f0)
-        uv = uv * (f0 > self.voiced_threshold)
-        return uv
-
-    def forward(self, f0, upp):
-        """sine_tensor, uv = forward(f0)
-        input F0: tensor(batchsize=1, length, dim=1)
-                  f0 for unvoiced steps should be 0
-        output sine_tensor: tensor(batchsize=1, length, dim)
-        output uv: tensor(batchsize=1, length, 1)
-        """
-        with torch.no_grad():
-            f0 = f0[:, None].transpose(1, 2)
-            f0_buf = torch.zeros(f0.shape[0], f0.shape[1], self.dim, device=f0.device)
-            # fundamental component
-            f0_buf[:, :, 0] = f0[:, :, 0]
-            for idx in np.arange(self.harmonic_num):
-                f0_buf[:, :, idx + 1] = f0_buf[:, :, 0] * (
-                    idx + 2
-                )  # idx + 2: the (idx+1)-th overtone, (idx+2)-th harmonic
-            rad_values = (f0_buf / self.sampling_rate) % 1  ###%1意味着n_har的乘积无法后处理优化
-            rand_ini = torch.rand(
-                f0_buf.shape[0], f0_buf.shape[2], device=f0_buf.device
-            )
-            rand_ini[:, 0] = 0
-            rad_values[:, 0, :] = rad_values[:, 0, :] + rand_ini
-            tmp_over_one = torch.cumsum(rad_values, 1)  # % 1  #####%1意味着后面的cumsum无法再优化
-            tmp_over_one *= upp
-            tmp_over_one = F.interpolate(
-                tmp_over_one.transpose(2, 1),
-                scale_factor=upp,
-                mode="linear",
-                align_corners=True,
-            ).transpose(2, 1)
-            rad_values = F.interpolate(
-                rad_values.transpose(2, 1), scale_factor=upp, mode="nearest"
-            ).transpose(
-                2, 1
-            )  #######
-            tmp_over_one %= 1
-            tmp_over_one_idx = (tmp_over_one[:, 1:, :] - tmp_over_one[:, :-1, :]) < 0
-            cumsum_shift = torch.zeros_like(rad_values)
-            cumsum_shift[:, 1:, :] = tmp_over_one_idx * -1.0
-            sine_waves = torch.sin(
-                torch.cumsum(rad_values + cumsum_shift, dim=1) * 2 * np.pi
-            )
-            sine_waves = sine_waves * self.sine_amp
-            uv = self._f02uv(f0)
-            uv = F.interpolate(
-                uv.transpose(2, 1), scale_factor=upp, mode="nearest"
-            ).transpose(2, 1)
-            noise_amp = uv * self.noise_std + (1 - uv) * self.sine_amp / 3
-            noise = noise_amp * torch.randn_like(sine_waves)
-            sine_waves = sine_waves * uv + noise
-        return sine_waves, uv, noise
-
-
-class SourceModuleHnNSF(torch.nn.Module):
-    """SourceModule for hn-nsf
-    SourceModule(sampling_rate, harmonic_num=0, sine_amp=0.1,
-                 add_noise_std=0.003, voiced_threshod=0)
-    sampling_rate: sampling_rate in Hz
-    harmonic_num: number of harmonic above F0 (default: 0)
-    sine_amp: amplitude of sine source signal (default: 0.1)
-    add_noise_std: std of additive Gaussian noise (default: 0.003)
-        note that amplitude of noise in unvoiced is decided
-        by sine_amp
-    voiced_threshold: threhold to set U/V given F0 (default: 0)
-    Sine_source, noise_source = SourceModuleHnNSF(F0_sampled)
-    F0_sampled (batchsize, length, 1)
-    Sine_source (batchsize, length, 1)
-    noise_source (batchsize, length 1)
-    uv (batchsize, length, 1)
-    """
-
-    def __init__(
-        self,
-        sampling_rate,
-        harmonic_num=0,
-        sine_amp=0.1,
-        add_noise_std=0.003,
-        voiced_threshod=0,
-        is_half=True,
-    ):
-        super(SourceModuleHnNSF, self).__init__()
-
-        self.sine_amp = sine_amp
-        self.noise_std = add_noise_std
-        self.is_half = is_half
-        # to produce sine waveforms
-        self.l_sin_gen = SineGen(
-            sampling_rate, harmonic_num, sine_amp, add_noise_std, voiced_threshod
-        )
-
-        # to merge source harmonics into a single excitation
-        self.l_linear = torch.nn.Linear(harmonic_num + 1, 1)
-        self.l_tanh = torch.nn.Tanh()
-
-    def forward(self, x, upp=None):
-        sine_wavs, uv, _ = self.l_sin_gen(x, upp)
-        if self.is_half:
-            sine_wavs = sine_wavs.half()
-        sine_merge = self.l_tanh(self.l_linear(sine_wavs))
-        return sine_merge, None, None  # noise, uv
-
-
-class GeneratorNSF(torch.nn.Module):
-    def __init__(
-        self,
-        initial_channel,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        gin_channels,
-        sr,
-        is_half=False,
-    ):
-        super(GeneratorNSF, self).__init__()
-        self.num_kernels = len(resblock_kernel_sizes)
-        self.num_upsamples = len(upsample_rates)
-
-        self.f0_upsamp = torch.nn.Upsample(scale_factor=np.prod(upsample_rates))
-        self.m_source = SourceModuleHnNSF(
-            sampling_rate=sr, harmonic_num=0, is_half=is_half
-        )
-        self.noise_convs = nn.ModuleList()
-        self.conv_pre = Conv1d(
-            initial_channel, upsample_initial_channel, 7, 1, padding=3
-        )
-        resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2
-
-        self.ups = nn.ModuleList()
-        for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)):
-            c_cur = upsample_initial_channel // (2 ** (i + 1))
-            self.ups.append(
-                weight_norm(
-                    ConvTranspose1d(
-                        upsample_initial_channel // (2**i),
-                        upsample_initial_channel // (2 ** (i + 1)),
-                        k,
-                        u,
-                        padding=(k - u) // 2,
-                    )
-                )
-            )
-            if i + 1 < len(upsample_rates):
-                stride_f0 = np.prod(upsample_rates[i + 1 :])
-                self.noise_convs.append(
-                    Conv1d(
-                        1,
-                        c_cur,
-                        kernel_size=stride_f0 * 2,
-                        stride=stride_f0,
-                        padding=stride_f0 // 2,
-                    )
-                )
-            else:
-                self.noise_convs.append(Conv1d(1, c_cur, kernel_size=1))
-
-        self.resblocks = nn.ModuleList()
-        for i in range(len(self.ups)):
-            ch = upsample_initial_channel // (2 ** (i + 1))
-            for j, (k, d) in enumerate(
-                zip(resblock_kernel_sizes, resblock_dilation_sizes)
-            ):
-                self.resblocks.append(resblock(ch, k, d))
-
-        self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False)
-        self.ups.apply(init_weights)
-
-        if gin_channels != 0:
-            self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1)
-
-        self.upp = np.prod(upsample_rates)
-
-    def forward(self, x, f0, g=None):
-        har_source, noi_source, uv = self.m_source(f0, self.upp)
-        har_source = har_source.transpose(1, 2)
-        x = self.conv_pre(x)
-        if g is not None:
-            x = x + self.cond(g)
-
-        for i in range(self.num_upsamples):
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            x = self.ups[i](x)
-            x_source = self.noise_convs[i](har_source)
-            x = x + x_source
-            xs = None
-            for j in range(self.num_kernels):
-                if xs is None:
-                    xs = self.resblocks[i * self.num_kernels + j](x)
-                else:
-                    xs += self.resblocks[i * self.num_kernels + j](x)
-            x = xs / self.num_kernels
-        x = F.leaky_relu(x)
-        x = self.conv_post(x)
-        x = torch.tanh(x)
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.ups:
-            remove_weight_norm(l)
-        for l in self.resblocks:
-            l.remove_weight_norm()
-
-
-sr2sr = {
-    "32k": 32000,
-    "40k": 40000,
-    "48k": 48000,
-}
-
-
-class SynthesizerTrnMs256NSFsidM(nn.Module):
-    def __init__(
-        self,
-        spec_channels,
-        segment_size,
-        inter_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        spk_embed_dim,
-        gin_channels,
-        sr,
-        **kwargs
-    ):
-        super().__init__()
-        if type(sr) == type("strr"):
-            sr = sr2sr[sr]
-        self.spec_channels = spec_channels
-        self.inter_channels = inter_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.resblock = resblock
-        self.resblock_kernel_sizes = resblock_kernel_sizes
-        self.resblock_dilation_sizes = resblock_dilation_sizes
-        self.upsample_rates = upsample_rates
-        self.upsample_initial_channel = upsample_initial_channel
-        self.upsample_kernel_sizes = upsample_kernel_sizes
-        self.segment_size = segment_size
-        self.gin_channels = gin_channels
-        # self.hop_length = hop_length#
-        self.spk_embed_dim = spk_embed_dim
-        self.enc_p = TextEncoder256(
-            inter_channels,
-            hidden_channels,
-            filter_channels,
-            n_heads,
-            n_layers,
-            kernel_size,
-            p_dropout,
-        )
-        self.dec = GeneratorNSF(
-            inter_channels,
-            resblock,
-            resblock_kernel_sizes,
-            resblock_dilation_sizes,
-            upsample_rates,
-            upsample_initial_channel,
-            upsample_kernel_sizes,
-            gin_channels=gin_channels,
-            sr=sr,
-            is_half=kwargs["is_half"],
-        )
-        self.enc_q = PosteriorEncoder(
-            spec_channels,
-            inter_channels,
-            hidden_channels,
-            5,
-            1,
-            16,
-            gin_channels=gin_channels,
-        )
-        self.flow = ResidualCouplingBlock(
-            inter_channels, hidden_channels, 5, 1, 3, gin_channels=gin_channels
-        )
-        self.emb_g = nn.Embedding(self.spk_embed_dim, gin_channels)
-        print("gin_channels:", gin_channels, "self.spk_embed_dim:", self.spk_embed_dim)
-
-    def remove_weight_norm(self):
-        self.dec.remove_weight_norm()
-        self.flow.remove_weight_norm()
-        self.enc_q.remove_weight_norm()
-
-    def forward(self, phone, phone_lengths, pitch, nsff0, sid, rnd, max_len=None):
-        g = self.emb_g(sid).unsqueeze(-1)
-        m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths)
-        z_p = (m_p + torch.exp(logs_p) * rnd) * x_mask
-        z = self.flow(z_p, x_mask, g=g, reverse=True)
-        o = self.dec((z * x_mask)[:, :, :max_len], nsff0, g=g)
-        return o
-
-
-class SynthesizerTrnMs256NSFsid_sim(nn.Module):
-    """
-    Synthesizer for Training
-    """
-
-    def __init__(
-        self,
-        spec_channels,
-        segment_size,
-        inter_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        spk_embed_dim,
-        # hop_length,
-        gin_channels=0,
-        use_sdp=True,
-        **kwargs
-    ):
-        super().__init__()
-        self.spec_channels = spec_channels
-        self.inter_channels = inter_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.resblock = resblock
-        self.resblock_kernel_sizes = resblock_kernel_sizes
-        self.resblock_dilation_sizes = resblock_dilation_sizes
-        self.upsample_rates = upsample_rates
-        self.upsample_initial_channel = upsample_initial_channel
-        self.upsample_kernel_sizes = upsample_kernel_sizes
-        self.segment_size = segment_size
-        self.gin_channels = gin_channels
-        # self.hop_length = hop_length#
-        self.spk_embed_dim = spk_embed_dim
-        self.enc_p = TextEncoder256Sim(
-            inter_channels,
-            hidden_channels,
-            filter_channels,
-            n_heads,
-            n_layers,
-            kernel_size,
-            p_dropout,
-        )
-        self.dec = GeneratorNSF(
-            inter_channels,
-            resblock,
-            resblock_kernel_sizes,
-            resblock_dilation_sizes,
-            upsample_rates,
-            upsample_initial_channel,
-            upsample_kernel_sizes,
-            gin_channels=gin_channels,
-            is_half=kwargs["is_half"],
-        )
-
-        self.flow = ResidualCouplingBlock(
-            inter_channels, hidden_channels, 5, 1, 3, gin_channels=gin_channels
-        )
-        self.emb_g = nn.Embedding(self.spk_embed_dim, gin_channels)
-        print("gin_channels:", gin_channels, "self.spk_embed_dim:", self.spk_embed_dim)
-
-    def remove_weight_norm(self):
-        self.dec.remove_weight_norm()
-        self.flow.remove_weight_norm()
-        self.enc_q.remove_weight_norm()
-
-    def forward(
-        self, phone, phone_lengths, pitch, pitchf, ds, max_len=None
-    ):  # y是spec不需要了现在
-        g = self.emb_g(ds.unsqueeze(0)).unsqueeze(-1)  # [b, 256, 1]##1是t，广播的
-        x, x_mask = self.enc_p(phone, pitch, phone_lengths)
-        x = self.flow(x, x_mask, g=g, reverse=True)
-        o = self.dec((x * x_mask)[:, :, :max_len], pitchf, g=g)
-        return o
-
-
-class MultiPeriodDiscriminator(torch.nn.Module):
-    def __init__(self, use_spectral_norm=False):
-        super(MultiPeriodDiscriminator, self).__init__()
-        periods = [2, 3, 5, 7, 11, 17]
-        # periods = [3, 5, 7, 11, 17, 23, 37]
-
-        discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)]
-        discs = discs + [
-            DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods
-        ]
-        self.discriminators = nn.ModuleList(discs)
-
-    def forward(self, y, y_hat):
-        y_d_rs = []  #
-        y_d_gs = []
-        fmap_rs = []
-        fmap_gs = []
-        for i, d in enumerate(self.discriminators):
-            y_d_r, fmap_r = d(y)
-            y_d_g, fmap_g = d(y_hat)
-            # for j in range(len(fmap_r)):
-            #     print(i,j,y.shape,y_hat.shape,fmap_r[j].shape,fmap_g[j].shape)
-            y_d_rs.append(y_d_r)
-            y_d_gs.append(y_d_g)
-            fmap_rs.append(fmap_r)
-            fmap_gs.append(fmap_g)
-
-        return y_d_rs, y_d_gs, fmap_rs, fmap_gs
-
-
-class DiscriminatorS(torch.nn.Module):
-    def __init__(self, use_spectral_norm=False):
-        super(DiscriminatorS, self).__init__()
-        norm_f = weight_norm if use_spectral_norm == False else spectral_norm
-        self.convs = nn.ModuleList(
-            [
-                norm_f(Conv1d(1, 16, 15, 1, padding=7)),
-                norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)),
-                norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)),
-                norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)),
-                norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)),
-                norm_f(Conv1d(1024, 1024, 5, 1, padding=2)),
-            ]
-        )
-        self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1))
-
-    def forward(self, x):
-        fmap = []
-
-        for l in self.convs:
-            x = l(x)
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            fmap.append(x)
-        x = self.conv_post(x)
-        fmap.append(x)
-        x = torch.flatten(x, 1, -1)
-
-        return x, fmap
-
-
-class DiscriminatorP(torch.nn.Module):
-    def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False):
-        super(DiscriminatorP, self).__init__()
-        self.period = period
-        self.use_spectral_norm = use_spectral_norm
-        norm_f = weight_norm if use_spectral_norm == False else spectral_norm
-        self.convs = nn.ModuleList(
-            [
-                norm_f(
-                    Conv2d(
-                        1,
-                        32,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        32,
-                        128,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        128,
-                        512,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        512,
-                        1024,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        1024,
-                        1024,
-                        (kernel_size, 1),
-                        1,
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-            ]
-        )
-        self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0)))
-
-    def forward(self, x):
-        fmap = []
-
-        # 1d to 2d
-        b, c, t = x.shape
-        if t % self.period != 0:  # pad first
-            n_pad = self.period - (t % self.period)
-            x = F.pad(x, (0, n_pad), "reflect")
-            t = t + n_pad
-        x = x.view(b, c, t // self.period, self.period)
-
-        for l in self.convs:
-            x = l(x)
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            fmap.append(x)
-        x = self.conv_post(x)
-        fmap.append(x)
-        x = torch.flatten(x, 1, -1)
-
-        return x, fmap
diff --git a/spaces/Rehman1603/Video-To-Text/summarize.py b/spaces/Rehman1603/Video-To-Text/summarize.py
deleted file mode 100644
index 0053dde4348f24cc152a60c4d20f201e3b1f5482..0000000000000000000000000000000000000000
--- a/spaces/Rehman1603/Video-To-Text/summarize.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import traceback
-import sys
-
-from youtube_transcript_api import YouTubeTranscriptApi
-from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-
-def Summarizer(link, model):
-  
-  video_id = link.split("=")[1]
-
-  try:
-    transcript = YouTubeTranscriptApi.get_transcript(video_id)
-    FinalTranscript = ' '.join([i['text'] for i in transcript])
-    
-    if model == "Pegasus":
-      checkpoint = "google/pegasus-large"
-    elif model == "mT5":
-      checkpoint = "csebuetnlp/mT5_multilingual_XLSum"
-    elif model == "BART":
-      checkpoint = "sshleifer/distilbart-cnn-12-6"
-      
-    tokenizer = AutoTokenizer.from_pretrained(checkpoint)
-    model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)
-
-
-    inputs = tokenizer(FinalTranscript, 
-                    max_length=1024, 
-                    truncation=True,
-                    return_tensors="pt")
-    
-    summary_ids = model.generate(inputs["input_ids"])
-    summary = tokenizer.batch_decode(summary_ids, 
-                                  skip_special_tokens=True, 
-                                  clean_up_tokenization_spaces=False)
-    
-
-    return summary[0]
-    
-
-  except Exception:
-    print(traceback.format_exc())
-    # or
-    print(sys.exc_info()[2])
\ No newline at end of file
diff --git a/spaces/Rishabh055/Movie_recommendation_System/README.md b/spaces/Rishabh055/Movie_recommendation_System/README.md
deleted file mode 100644
index bbfeb2e5fb4c8507620d60931496eb34708d3b6c..0000000000000000000000000000000000000000
--- a/spaces/Rishabh055/Movie_recommendation_System/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: Movie Recomendation
-emoji: ⚡
-colorFrom: yellow
-colorTo: red
-sdk: streamlit
-sdk_version: 1.26.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/Robert001/UniControl-Demo/annotator/mlsd/models/mbv2_mlsd_large.py b/spaces/Robert001/UniControl-Demo/annotator/mlsd/models/mbv2_mlsd_large.py
deleted file mode 100644
index 7122d8ebd9279530b332a0729a9c2bd2aed70fb9..0000000000000000000000000000000000000000
--- a/spaces/Robert001/UniControl-Demo/annotator/mlsd/models/mbv2_mlsd_large.py
+++ /dev/null
@@ -1,302 +0,0 @@
-'''
- * Copyright (c) 2023 Salesforce, Inc.
- * All rights reserved.
- * SPDX-License-Identifier: Apache License 2.0
- * For full license text, see LICENSE.txt file in the repo root or http://www.apache.org/licenses/
- * By Can Qin
- * Modified from ControlNet repo: https://github.com/lllyasviel/ControlNet
- * Copyright (c) 2023 Lvmin Zhang and Maneesh Agrawala
-'''
-
-import os
-import sys
-import torch
-import torch.nn as nn
-import torch.utils.model_zoo as model_zoo
-from  torch.nn import  functional as F
-
-
-class BlockTypeA(nn.Module):
-    def __init__(self, in_c1, in_c2, out_c1, out_c2, upscale = True):
-        super(BlockTypeA, self).__init__()
-        self.conv1 = nn.Sequential(
-            nn.Conv2d(in_c2, out_c2, kernel_size=1),
-            nn.BatchNorm2d(out_c2),
-            nn.ReLU(inplace=True)
-        )
-        self.conv2 = nn.Sequential(
-            nn.Conv2d(in_c1, out_c1, kernel_size=1),
-            nn.BatchNorm2d(out_c1),
-            nn.ReLU(inplace=True)
-        )
-        self.upscale = upscale
-
-    def forward(self, a, b):
-        b = self.conv1(b)
-        a = self.conv2(a)
-        if self.upscale:
-             b = F.interpolate(b, scale_factor=2.0, mode='bilinear', align_corners=True)
-        return torch.cat((a, b), dim=1)
-
-
-class BlockTypeB(nn.Module):
-    def __init__(self, in_c, out_c):
-        super(BlockTypeB, self).__init__()
-        self.conv1 = nn.Sequential(
-            nn.Conv2d(in_c, in_c,  kernel_size=3, padding=1),
-            nn.BatchNorm2d(in_c),
-            nn.ReLU()
-        )
-        self.conv2 = nn.Sequential(
-            nn.Conv2d(in_c, out_c, kernel_size=3, padding=1),
-            nn.BatchNorm2d(out_c),
-            nn.ReLU()
-        )
-
-    def forward(self, x):
-        x = self.conv1(x) + x
-        x = self.conv2(x)
-        return x
-
-class BlockTypeC(nn.Module):
-    def __init__(self, in_c, out_c):
-        super(BlockTypeC, self).__init__()
-        self.conv1 = nn.Sequential(
-            nn.Conv2d(in_c, in_c,  kernel_size=3, padding=5, dilation=5),
-            nn.BatchNorm2d(in_c),
-            nn.ReLU()
-        )
-        self.conv2 = nn.Sequential(
-            nn.Conv2d(in_c, in_c,  kernel_size=3, padding=1),
-            nn.BatchNorm2d(in_c),
-            nn.ReLU()
-        )
-        self.conv3 = nn.Conv2d(in_c, out_c, kernel_size=1)
-
-    def forward(self, x):
-        x = self.conv1(x)
-        x = self.conv2(x)
-        x = self.conv3(x)
-        return x
-
-def _make_divisible(v, divisor, min_value=None):
-    """
-    This function is taken from the original tf repo.
-    It ensures that all layers have a channel number that is divisible by 8
-    It can be seen here:
-    https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet/mobilenet.py
-    :param v:
-    :param divisor:
-    :param min_value:
-    :return:
-    """
-    if min_value is None:
-        min_value = divisor
-    new_v = max(min_value, int(v + divisor / 2) // divisor * divisor)
-    # Make sure that round down does not go down by more than 10%.
-    if new_v < 0.9 * v:
-        new_v += divisor
-    return new_v
-
-
-class ConvBNReLU(nn.Sequential):
-    def __init__(self, in_planes, out_planes, kernel_size=3, stride=1, groups=1):
-        self.channel_pad = out_planes - in_planes
-        self.stride = stride
-        #padding = (kernel_size - 1) // 2
-
-        # TFLite uses slightly different padding than PyTorch
-        if stride == 2:
-            padding = 0
-        else:
-            padding = (kernel_size - 1) // 2
-
-        super(ConvBNReLU, self).__init__(
-            nn.Conv2d(in_planes, out_planes, kernel_size, stride, padding, groups=groups, bias=False),
-            nn.BatchNorm2d(out_planes),
-            nn.ReLU6(inplace=True)
-        )
-        self.max_pool = nn.MaxPool2d(kernel_size=stride, stride=stride)
-
-
-    def forward(self, x):
-        # TFLite uses  different padding
-        if self.stride == 2:
-            x = F.pad(x, (0, 1, 0, 1), "constant", 0)
-            #print(x.shape)
-
-        for module in self:
-            if not isinstance(module, nn.MaxPool2d):
-                x = module(x)
-        return x
-
-
-class InvertedResidual(nn.Module):
-    def __init__(self, inp, oup, stride, expand_ratio):
-        super(InvertedResidual, self).__init__()
-        self.stride = stride
-        assert stride in [1, 2]
-
-        hidden_dim = int(round(inp * expand_ratio))
-        self.use_res_connect = self.stride == 1 and inp == oup
-
-        layers = []
-        if expand_ratio != 1:
-            # pw
-            layers.append(ConvBNReLU(inp, hidden_dim, kernel_size=1))
-        layers.extend([
-            # dw
-            ConvBNReLU(hidden_dim, hidden_dim, stride=stride, groups=hidden_dim),
-            # pw-linear
-            nn.Conv2d(hidden_dim, oup, 1, 1, 0, bias=False),
-            nn.BatchNorm2d(oup),
-        ])
-        self.conv = nn.Sequential(*layers)
-
-    def forward(self, x):
-        if self.use_res_connect:
-            return x + self.conv(x)
-        else:
-            return self.conv(x)
-
-
-class MobileNetV2(nn.Module):
-    def __init__(self, pretrained=True):
-        """
-        MobileNet V2 main class
-        Args:
-            num_classes (int): Number of classes
-            width_mult (float): Width multiplier - adjusts number of channels in each layer by this amount
-            inverted_residual_setting: Network structure
-            round_nearest (int): Round the number of channels in each layer to be a multiple of this number
-            Set to 1 to turn off rounding
-            block: Module specifying inverted residual building block for mobilenet
-        """
-        super(MobileNetV2, self).__init__()
-
-        block = InvertedResidual
-        input_channel = 32
-        last_channel = 1280
-        width_mult = 1.0
-        round_nearest = 8
-
-        inverted_residual_setting = [
-            # t, c, n, s
-            [1, 16, 1, 1],
-            [6, 24, 2, 2],
-            [6, 32, 3, 2],
-            [6, 64, 4, 2],
-            [6, 96, 3, 1],
-            #[6, 160, 3, 2],
-            #[6, 320, 1, 1],
-        ]
-
-        # only check the first element, assuming user knows t,c,n,s are required
-        if len(inverted_residual_setting) == 0 or len(inverted_residual_setting[0]) != 4:
-            raise ValueError("inverted_residual_setting should be non-empty "
-                             "or a 4-element list, got {}".format(inverted_residual_setting))
-
-        # building first layer
-        input_channel = _make_divisible(input_channel * width_mult, round_nearest)
-        self.last_channel = _make_divisible(last_channel * max(1.0, width_mult), round_nearest)
-        features = [ConvBNReLU(4, input_channel, stride=2)]
-        # building inverted residual blocks
-        for t, c, n, s in inverted_residual_setting:
-            output_channel = _make_divisible(c * width_mult, round_nearest)
-            for i in range(n):
-                stride = s if i == 0 else 1
-                features.append(block(input_channel, output_channel, stride, expand_ratio=t))
-                input_channel = output_channel
-
-        self.features = nn.Sequential(*features)
-        self.fpn_selected = [1, 3, 6, 10, 13]
-        # weight initialization
-        for m in self.modules():
-            if isinstance(m, nn.Conv2d):
-                nn.init.kaiming_normal_(m.weight, mode='fan_out')
-                if m.bias is not None:
-                    nn.init.zeros_(m.bias)
-            elif isinstance(m, nn.BatchNorm2d):
-                nn.init.ones_(m.weight)
-                nn.init.zeros_(m.bias)
-            elif isinstance(m, nn.Linear):
-                nn.init.normal_(m.weight, 0, 0.01)
-                nn.init.zeros_(m.bias)
-        if pretrained:
-           self._load_pretrained_model()
-
-    def _forward_impl(self, x):
-        # This exists since TorchScript doesn't support inheritance, so the superclass method
-        # (this one) needs to have a name other than `forward` that can be accessed in a subclass
-        fpn_features = []
-        for i, f in enumerate(self.features):
-            if i > self.fpn_selected[-1]:
-                break
-            x = f(x)
-            if i in self.fpn_selected:
-                fpn_features.append(x)
-
-        c1, c2, c3, c4, c5 = fpn_features
-        return c1, c2, c3, c4, c5
-
-
-    def forward(self, x):
-        return self._forward_impl(x)
-
-    def _load_pretrained_model(self):
-        pretrain_dict = model_zoo.load_url('https://download.pytorch.org/models/mobilenet_v2-b0353104.pth')
-        model_dict = {}
-        state_dict = self.state_dict()
-        for k, v in pretrain_dict.items():
-            if k in state_dict:
-                model_dict[k] = v
-        state_dict.update(model_dict)
-        self.load_state_dict(state_dict)
-
-
-class MobileV2_MLSD_Large(nn.Module):
-    def __init__(self):
-        super(MobileV2_MLSD_Large, self).__init__()
-
-        self.backbone = MobileNetV2(pretrained=False)
-        ## A, B
-        self.block15 = BlockTypeA(in_c1= 64, in_c2= 96,
-                                  out_c1= 64, out_c2=64,
-                                  upscale=False)
-        self.block16 = BlockTypeB(128, 64)
-
-        ## A, B
-        self.block17 = BlockTypeA(in_c1 = 32,  in_c2 = 64,
-                                  out_c1= 64,  out_c2= 64)
-        self.block18 = BlockTypeB(128, 64)
-
-        ## A, B
-        self.block19 = BlockTypeA(in_c1=24, in_c2=64,
-                                  out_c1=64, out_c2=64)
-        self.block20 = BlockTypeB(128, 64)
-
-        ## A, B, C
-        self.block21 = BlockTypeA(in_c1=16, in_c2=64,
-                                  out_c1=64, out_c2=64)
-        self.block22 = BlockTypeB(128, 64)
-
-        self.block23 = BlockTypeC(64, 16)
-
-    def forward(self, x):
-        c1, c2, c3, c4, c5 = self.backbone(x)
-
-        x = self.block15(c4, c5)
-        x = self.block16(x)
-
-        x = self.block17(c3, x)
-        x = self.block18(x)
-
-        x = self.block19(c2, x)
-        x = self.block20(x)
-
-        x = self.block21(c1, x)
-        x = self.block22(x)
-        x = self.block23(x)
-        x = x[:, 7:, :, :]
-
-        return x
\ No newline at end of file
diff --git a/spaces/Robert001/UniControl-Demo/annotator/uniformer/configs/_base_/models/cgnet.py b/spaces/Robert001/UniControl-Demo/annotator/uniformer/configs/_base_/models/cgnet.py
deleted file mode 100644
index eff8d9458c877c5db894957e0b1b4597e40da6ab..0000000000000000000000000000000000000000
--- a/spaces/Robert001/UniControl-Demo/annotator/uniformer/configs/_base_/models/cgnet.py
+++ /dev/null
@@ -1,35 +0,0 @@
-# model settings
-norm_cfg = dict(type='SyncBN', eps=1e-03, requires_grad=True)
-model = dict(
-    type='EncoderDecoder',
-    backbone=dict(
-        type='CGNet',
-        norm_cfg=norm_cfg,
-        in_channels=3,
-        num_channels=(32, 64, 128),
-        num_blocks=(3, 21),
-        dilations=(2, 4),
-        reductions=(8, 16)),
-    decode_head=dict(
-        type='FCNHead',
-        in_channels=256,
-        in_index=2,
-        channels=256,
-        num_convs=0,
-        concat_input=False,
-        dropout_ratio=0,
-        num_classes=19,
-        norm_cfg=norm_cfg,
-        loss_decode=dict(
-            type='CrossEntropyLoss',
-            use_sigmoid=False,
-            loss_weight=1.0,
-            class_weight=[
-                2.5959933, 6.7415504, 3.5354059, 9.8663225, 9.690899, 9.369352,
-                10.289121, 9.953208, 4.3097677, 9.490387, 7.674431, 9.396905,
-                10.347791, 6.3927646, 10.226669, 10.241062, 10.280587,
-                10.396974, 10.055647
-            ])),
-    # model training and testing settings
-    train_cfg=dict(sampler=None),
-    test_cfg=dict(mode='whole'))
diff --git a/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmcv/engine/test.py b/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmcv/engine/test.py
deleted file mode 100644
index 8dbeef271db634ec2dadfda3bc0b5ef9c7a677ff..0000000000000000000000000000000000000000
--- a/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmcv/engine/test.py
+++ /dev/null
@@ -1,202 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-import os.path as osp
-import pickle
-import shutil
-import tempfile
-import time
-
-import torch
-import torch.distributed as dist
-
-import annotator.uniformer.mmcv as mmcv
-from annotator.uniformer.mmcv.runner import get_dist_info
-
-
-def single_gpu_test(model, data_loader):
-    """Test model with a single gpu.
-
-    This method tests model with a single gpu and displays test progress bar.
-
-    Args:
-        model (nn.Module): Model to be tested.
-        data_loader (nn.Dataloader): Pytorch data loader.
-
-    Returns:
-        list: The prediction results.
-    """
-    model.eval()
-    results = []
-    dataset = data_loader.dataset
-    prog_bar = mmcv.ProgressBar(len(dataset))
-    for data in data_loader:
-        with torch.no_grad():
-            result = model(return_loss=False, **data)
-        results.extend(result)
-
-        # Assume result has the same length of batch_size
-        # refer to https://github.com/open-mmlab/mmcv/issues/985
-        batch_size = len(result)
-        for _ in range(batch_size):
-            prog_bar.update()
-    return results
-
-
-def multi_gpu_test(model, data_loader, tmpdir=None, gpu_collect=False):
-    """Test model with multiple gpus.
-
-    This method tests model with multiple gpus and collects the results
-    under two different modes: gpu and cpu modes. By setting
-    ``gpu_collect=True``, it encodes results to gpu tensors and use gpu
-    communication for results collection. On cpu mode it saves the results on
-    different gpus to ``tmpdir`` and collects them by the rank 0 worker.
-
-    Args:
-        model (nn.Module): Model to be tested.
-        data_loader (nn.Dataloader): Pytorch data loader.
-        tmpdir (str): Path of directory to save the temporary results from
-            different gpus under cpu mode.
-        gpu_collect (bool): Option to use either gpu or cpu to collect results.
-
-    Returns:
-        list: The prediction results.
-    """
-    model.eval()
-    results = []
-    dataset = data_loader.dataset
-    rank, world_size = get_dist_info()
-    if rank == 0:
-        prog_bar = mmcv.ProgressBar(len(dataset))
-    time.sleep(2)  # This line can prevent deadlock problem in some cases.
-    for i, data in enumerate(data_loader):
-        with torch.no_grad():
-            result = model(return_loss=False, **data)
-        results.extend(result)
-
-        if rank == 0:
-            batch_size = len(result)
-            batch_size_all = batch_size * world_size
-            if batch_size_all + prog_bar.completed > len(dataset):
-                batch_size_all = len(dataset) - prog_bar.completed
-            for _ in range(batch_size_all):
-                prog_bar.update()
-
-    # collect results from all ranks
-    if gpu_collect:
-        results = collect_results_gpu(results, len(dataset))
-    else:
-        results = collect_results_cpu(results, len(dataset), tmpdir)
-    return results
-
-
-def collect_results_cpu(result_part, size, tmpdir=None):
-    """Collect results under cpu mode.
-
-    On cpu mode, this function will save the results on different gpus to
-    ``tmpdir`` and collect them by the rank 0 worker.
-
-    Args:
-        result_part (list): Result list containing result parts
-            to be collected.
-        size (int): Size of the results, commonly equal to length of
-            the results.
-        tmpdir (str | None): temporal directory for collected results to
-            store. If set to None, it will create a random temporal directory
-            for it.
-
-    Returns:
-        list: The collected results.
-    """
-    rank, world_size = get_dist_info()
-    # create a tmp dir if it is not specified
-    if tmpdir is None:
-        MAX_LEN = 512
-        # 32 is whitespace
-        dir_tensor = torch.full((MAX_LEN, ),
-                                32,
-                                dtype=torch.uint8,
-                                device='cuda')
-        if rank == 0:
-            mmcv.mkdir_or_exist('.dist_test')
-            tmpdir = tempfile.mkdtemp(dir='.dist_test')
-            tmpdir = torch.tensor(
-                bytearray(tmpdir.encode()), dtype=torch.uint8, device='cuda')
-            dir_tensor[:len(tmpdir)] = tmpdir
-        dist.broadcast(dir_tensor, 0)
-        tmpdir = dir_tensor.cpu().numpy().tobytes().decode().rstrip()
-    else:
-        mmcv.mkdir_or_exist(tmpdir)
-    # dump the part result to the dir
-    mmcv.dump(result_part, osp.join(tmpdir, f'part_{rank}.pkl'))
-    dist.barrier()
-    # collect all parts
-    if rank != 0:
-        return None
-    else:
-        # load results of all parts from tmp dir
-        part_list = []
-        for i in range(world_size):
-            part_file = osp.join(tmpdir, f'part_{i}.pkl')
-            part_result = mmcv.load(part_file)
-            # When data is severely insufficient, an empty part_result
-            # on a certain gpu could makes the overall outputs empty.
-            if part_result:
-                part_list.append(part_result)
-        # sort the results
-        ordered_results = []
-        for res in zip(*part_list):
-            ordered_results.extend(list(res))
-        # the dataloader may pad some samples
-        ordered_results = ordered_results[:size]
-        # remove tmp dir
-        shutil.rmtree(tmpdir)
-        return ordered_results
-
-
-def collect_results_gpu(result_part, size):
-    """Collect results under gpu mode.
-
-    On gpu mode, this function will encode results to gpu tensors and use gpu
-    communication for results collection.
-
-    Args:
-        result_part (list): Result list containing result parts
-            to be collected.
-        size (int): Size of the results, commonly equal to length of
-            the results.
-
-    Returns:
-        list: The collected results.
-    """
-    rank, world_size = get_dist_info()
-    # dump result part to tensor with pickle
-    part_tensor = torch.tensor(
-        bytearray(pickle.dumps(result_part)), dtype=torch.uint8, device='cuda')
-    # gather all result part tensor shape
-    shape_tensor = torch.tensor(part_tensor.shape, device='cuda')
-    shape_list = [shape_tensor.clone() for _ in range(world_size)]
-    dist.all_gather(shape_list, shape_tensor)
-    # padding result part tensor to max length
-    shape_max = torch.tensor(shape_list).max()
-    part_send = torch.zeros(shape_max, dtype=torch.uint8, device='cuda')
-    part_send[:shape_tensor[0]] = part_tensor
-    part_recv_list = [
-        part_tensor.new_zeros(shape_max) for _ in range(world_size)
-    ]
-    # gather all result part
-    dist.all_gather(part_recv_list, part_send)
-
-    if rank == 0:
-        part_list = []
-        for recv, shape in zip(part_recv_list, shape_list):
-            part_result = pickle.loads(recv[:shape[0]].cpu().numpy().tobytes())
-            # When data is severely insufficient, an empty part_result
-            # on a certain gpu could makes the overall outputs empty.
-            if part_result:
-                part_list.append(part_result)
-        # sort the results
-        ordered_results = []
-        for res in zip(*part_list):
-            ordered_results.extend(list(res))
-        # the dataloader may pad some samples
-        ordered_results = ordered_results[:size]
-        return ordered_results
diff --git a/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmcv/runner/hooks/checkpoint.py b/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmcv/runner/hooks/checkpoint.py
deleted file mode 100644
index 6af3fae43ac4b35532641a81eb13557edfc7dfba..0000000000000000000000000000000000000000
--- a/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmcv/runner/hooks/checkpoint.py
+++ /dev/null
@@ -1,167 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-import os.path as osp
-import warnings
-
-from annotator.uniformer.mmcv.fileio import FileClient
-from ..dist_utils import allreduce_params, master_only
-from .hook import HOOKS, Hook
-
-
-@HOOKS.register_module()
-class CheckpointHook(Hook):
-    """Save checkpoints periodically.
-
-    Args:
-        interval (int): The saving period. If ``by_epoch=True``, interval
-            indicates epochs, otherwise it indicates iterations.
-            Default: -1, which means "never".
-        by_epoch (bool): Saving checkpoints by epoch or by iteration.
-            Default: True.
-        save_optimizer (bool): Whether to save optimizer state_dict in the
-            checkpoint. It is usually used for resuming experiments.
-            Default: True.
-        out_dir (str, optional): The root directory to save checkpoints. If not
-            specified, ``runner.work_dir`` will be used by default. If
-            specified, the ``out_dir`` will be the concatenation of ``out_dir``
-            and the last level directory of ``runner.work_dir``.
-            `Changed in version 1.3.16.`
-        max_keep_ckpts (int, optional): The maximum checkpoints to keep.
-            In some cases we want only the latest few checkpoints and would
-            like to delete old ones to save the disk space.
-            Default: -1, which means unlimited.
-        save_last (bool, optional): Whether to force the last checkpoint to be
-            saved regardless of interval. Default: True.
-        sync_buffer (bool, optional): Whether to synchronize buffers in
-            different gpus. Default: False.
-        file_client_args (dict, optional): Arguments to instantiate a
-            FileClient. See :class:`mmcv.fileio.FileClient` for details.
-            Default: None.
-            `New in version 1.3.16.`
-
-    .. warning::
-        Before v1.3.16, the ``out_dir`` argument indicates the path where the
-        checkpoint is stored. However, since v1.3.16, ``out_dir`` indicates the
-        root directory and the final path to save checkpoint is the
-        concatenation of ``out_dir`` and the last level directory of
-        ``runner.work_dir``. Suppose the value of ``out_dir`` is "/path/of/A"
-        and the value of ``runner.work_dir`` is "/path/of/B", then the final
-        path will be "/path/of/A/B".
-    """
-
-    def __init__(self,
-                 interval=-1,
-                 by_epoch=True,
-                 save_optimizer=True,
-                 out_dir=None,
-                 max_keep_ckpts=-1,
-                 save_last=True,
-                 sync_buffer=False,
-                 file_client_args=None,
-                 **kwargs):
-        self.interval = interval
-        self.by_epoch = by_epoch
-        self.save_optimizer = save_optimizer
-        self.out_dir = out_dir
-        self.max_keep_ckpts = max_keep_ckpts
-        self.save_last = save_last
-        self.args = kwargs
-        self.sync_buffer = sync_buffer
-        self.file_client_args = file_client_args
-
-    def before_run(self, runner):
-        if not self.out_dir:
-            self.out_dir = runner.work_dir
-
-        self.file_client = FileClient.infer_client(self.file_client_args,
-                                                   self.out_dir)
-
-        # if `self.out_dir` is not equal to `runner.work_dir`, it means that
-        # `self.out_dir` is set so the final `self.out_dir` is the
-        # concatenation of `self.out_dir` and the last level directory of
-        # `runner.work_dir`
-        if self.out_dir != runner.work_dir:
-            basename = osp.basename(runner.work_dir.rstrip(osp.sep))
-            self.out_dir = self.file_client.join_path(self.out_dir, basename)
-
-        runner.logger.info((f'Checkpoints will be saved to {self.out_dir} by '
-                            f'{self.file_client.name}.'))
-
-        # disable the create_symlink option because some file backends do not
-        # allow to create a symlink
-        if 'create_symlink' in self.args:
-            if self.args[
-                    'create_symlink'] and not self.file_client.allow_symlink:
-                self.args['create_symlink'] = False
-                warnings.warn(
-                    ('create_symlink is set as True by the user but is changed'
-                     'to be False because creating symbolic link is not '
-                     f'allowed in {self.file_client.name}'))
-        else:
-            self.args['create_symlink'] = self.file_client.allow_symlink
-
-    def after_train_epoch(self, runner):
-        if not self.by_epoch:
-            return
-
-        # save checkpoint for following cases:
-        # 1. every ``self.interval`` epochs
-        # 2. reach the last epoch of training
-        if self.every_n_epochs(
-                runner, self.interval) or (self.save_last
-                                           and self.is_last_epoch(runner)):
-            runner.logger.info(
-                f'Saving checkpoint at {runner.epoch + 1} epochs')
-            if self.sync_buffer:
-                allreduce_params(runner.model.buffers())
-            self._save_checkpoint(runner)
-
-    @master_only
-    def _save_checkpoint(self, runner):
-        """Save the current checkpoint and delete unwanted checkpoint."""
-        runner.save_checkpoint(
-            self.out_dir, save_optimizer=self.save_optimizer, **self.args)
-        if runner.meta is not None:
-            if self.by_epoch:
-                cur_ckpt_filename = self.args.get(
-                    'filename_tmpl', 'epoch_{}.pth').format(runner.epoch + 1)
-            else:
-                cur_ckpt_filename = self.args.get(
-                    'filename_tmpl', 'iter_{}.pth').format(runner.iter + 1)
-            runner.meta.setdefault('hook_msgs', dict())
-            runner.meta['hook_msgs']['last_ckpt'] = self.file_client.join_path(
-                self.out_dir, cur_ckpt_filename)
-        # remove other checkpoints
-        if self.max_keep_ckpts > 0:
-            if self.by_epoch:
-                name = 'epoch_{}.pth'
-                current_ckpt = runner.epoch + 1
-            else:
-                name = 'iter_{}.pth'
-                current_ckpt = runner.iter + 1
-            redundant_ckpts = range(
-                current_ckpt - self.max_keep_ckpts * self.interval, 0,
-                -self.interval)
-            filename_tmpl = self.args.get('filename_tmpl', name)
-            for _step in redundant_ckpts:
-                ckpt_path = self.file_client.join_path(
-                    self.out_dir, filename_tmpl.format(_step))
-                if self.file_client.isfile(ckpt_path):
-                    self.file_client.remove(ckpt_path)
-                else:
-                    break
-
-    def after_train_iter(self, runner):
-        if self.by_epoch:
-            return
-
-        # save checkpoint for following cases:
-        # 1. every ``self.interval`` iterations
-        # 2. reach the last iteration of training
-        if self.every_n_iters(
-                runner, self.interval) or (self.save_last
-                                           and self.is_last_iter(runner)):
-            runner.logger.info(
-                f'Saving checkpoint at {runner.iter + 1} iterations')
-            if self.sync_buffer:
-                allreduce_params(runner.model.buffers())
-            self._save_checkpoint(runner)
diff --git a/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmdet_null/datasets/dataset_wrappers.py b/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmdet_null/datasets/dataset_wrappers.py
deleted file mode 100644
index 55ad5cb60e581a96bdbd1fbbeebc2f46f8c4e899..0000000000000000000000000000000000000000
--- a/spaces/Robert001/UniControl-Demo/annotator/uniformer/mmdet_null/datasets/dataset_wrappers.py
+++ /dev/null
@@ -1,282 +0,0 @@
-import bisect
-import math
-from collections import defaultdict
-
-import numpy as np
-from mmcv.utils import print_log
-from torch.utils.data.dataset import ConcatDataset as _ConcatDataset
-
-from .builder import DATASETS
-from .coco import CocoDataset
-
-
-@DATASETS.register_module()
-class ConcatDataset(_ConcatDataset):
-    """A wrapper of concatenated dataset.
-
-    Same as :obj:`torch.utils.data.dataset.ConcatDataset`, but
-    concat the group flag for image aspect ratio.
-
-    Args:
-        datasets (list[:obj:`Dataset`]): A list of datasets.
-        separate_eval (bool): Whether to evaluate the results
-            separately if it is used as validation dataset.
-            Defaults to True.
-    """
-
-    def __init__(self, datasets, separate_eval=True):
-        super(ConcatDataset, self).__init__(datasets)
-        self.CLASSES = datasets[0].CLASSES
-        self.separate_eval = separate_eval
-        if not separate_eval:
-            if any([isinstance(ds, CocoDataset) for ds in datasets]):
-                raise NotImplementedError(
-                    'Evaluating concatenated CocoDataset as a whole is not'
-                    ' supported! Please set "separate_eval=True"')
-            elif len(set([type(ds) for ds in datasets])) != 1:
-                raise NotImplementedError(
-                    'All the datasets should have same types')
-
-        if hasattr(datasets[0], 'flag'):
-            flags = []
-            for i in range(0, len(datasets)):
-                flags.append(datasets[i].flag)
-            self.flag = np.concatenate(flags)
-
-    def get_cat_ids(self, idx):
-        """Get category ids of concatenated dataset by index.
-
-        Args:
-            idx (int): Index of data.
-
-        Returns:
-            list[int]: All categories in the image of specified index.
-        """
-
-        if idx < 0:
-            if -idx > len(self):
-                raise ValueError(
-                    'absolute value of index should not exceed dataset length')
-            idx = len(self) + idx
-        dataset_idx = bisect.bisect_right(self.cumulative_sizes, idx)
-        if dataset_idx == 0:
-            sample_idx = idx
-        else:
-            sample_idx = idx - self.cumulative_sizes[dataset_idx - 1]
-        return self.datasets[dataset_idx].get_cat_ids(sample_idx)
-
-    def evaluate(self, results, logger=None, **kwargs):
-        """Evaluate the results.
-
-        Args:
-            results (list[list | tuple]): Testing results of the dataset.
-            logger (logging.Logger | str | None): Logger used for printing
-                related information during evaluation. Default: None.
-
-        Returns:
-            dict[str: float]: AP results of the total dataset or each separate
-            dataset if `self.separate_eval=True`.
-        """
-        assert len(results) == self.cumulative_sizes[-1], \
-            ('Dataset and results have different sizes: '
-             f'{self.cumulative_sizes[-1]} v.s. {len(results)}')
-
-        # Check whether all the datasets support evaluation
-        for dataset in self.datasets:
-            assert hasattr(dataset, 'evaluate'), \
-                    f'{type(dataset)} does not implement evaluate function'
-
-        if self.separate_eval:
-            dataset_idx = -1
-            total_eval_results = dict()
-            for size, dataset in zip(self.cumulative_sizes, self.datasets):
-                start_idx = 0 if dataset_idx == -1 else \
-                    self.cumulative_sizes[dataset_idx]
-                end_idx = self.cumulative_sizes[dataset_idx + 1]
-
-                results_per_dataset = results[start_idx:end_idx]
-                print_log(
-                    f'\nEvaluateing {dataset.ann_file} with '
-                    f'{len(results_per_dataset)} images now',
-                    logger=logger)
-
-                eval_results_per_dataset = dataset.evaluate(
-                    results_per_dataset, logger=logger, **kwargs)
-                dataset_idx += 1
-                for k, v in eval_results_per_dataset.items():
-                    total_eval_results.update({f'{dataset_idx}_{k}': v})
-
-            return total_eval_results
-        elif any([isinstance(ds, CocoDataset) for ds in self.datasets]):
-            raise NotImplementedError(
-                'Evaluating concatenated CocoDataset as a whole is not'
-                ' supported! Please set "separate_eval=True"')
-        elif len(set([type(ds) for ds in self.datasets])) != 1:
-            raise NotImplementedError(
-                'All the datasets should have same types')
-        else:
-            original_data_infos = self.datasets[0].data_infos
-            self.datasets[0].data_infos = sum(
-                [dataset.data_infos for dataset in self.datasets], [])
-            eval_results = self.datasets[0].evaluate(
-                results, logger=logger, **kwargs)
-            self.datasets[0].data_infos = original_data_infos
-            return eval_results
-
-
-@DATASETS.register_module()
-class RepeatDataset(object):
-    """A wrapper of repeated dataset.
-
-    The length of repeated dataset will be `times` larger than the original
-    dataset. This is useful when the data loading time is long but the dataset
-    is small. Using RepeatDataset can reduce the data loading time between
-    epochs.
-
-    Args:
-        dataset (:obj:`Dataset`): The dataset to be repeated.
-        times (int): Repeat times.
-    """
-
-    def __init__(self, dataset, times):
-        self.dataset = dataset
-        self.times = times
-        self.CLASSES = dataset.CLASSES
-        if hasattr(self.dataset, 'flag'):
-            self.flag = np.tile(self.dataset.flag, times)
-
-        self._ori_len = len(self.dataset)
-
-    def __getitem__(self, idx):
-        return self.dataset[idx % self._ori_len]
-
-    def get_cat_ids(self, idx):
-        """Get category ids of repeat dataset by index.
-
-        Args:
-            idx (int): Index of data.
-
-        Returns:
-            list[int]: All categories in the image of specified index.
-        """
-
-        return self.dataset.get_cat_ids(idx % self._ori_len)
-
-    def __len__(self):
-        """Length after repetition."""
-        return self.times * self._ori_len
-
-
-# Modified from https://github.com/facebookresearch/detectron2/blob/41d475b75a230221e21d9cac5d69655e3415e3a4/detectron2/data/samplers/distributed_sampler.py#L57 # noqa
-@DATASETS.register_module()
-class ClassBalancedDataset(object):
-    """A wrapper of repeated dataset with repeat factor.
-
-    Suitable for training on class imbalanced datasets like LVIS. Following
-    the sampling strategy in the `paper <https://arxiv.org/abs/1908.03195>`_,
-    in each epoch, an image may appear multiple times based on its
-    "repeat factor".
-    The repeat factor for an image is a function of the frequency the rarest
-    category labeled in that image. The "frequency of category c" in [0, 1]
-    is defined by the fraction of images in the training set (without repeats)
-    in which category c appears.
-    The dataset needs to instantiate :func:`self.get_cat_ids` to support
-    ClassBalancedDataset.
-
-    The repeat factor is computed as followed.
-
-    1. For each category c, compute the fraction # of images
-       that contain it: :math:`f(c)`
-    2. For each category c, compute the category-level repeat factor:
-       :math:`r(c) = max(1, sqrt(t/f(c)))`
-    3. For each image I, compute the image-level repeat factor:
-       :math:`r(I) = max_{c in I} r(c)`
-
-    Args:
-        dataset (:obj:`CustomDataset`): The dataset to be repeated.
-        oversample_thr (float): frequency threshold below which data is
-            repeated. For categories with ``f_c >= oversample_thr``, there is
-            no oversampling. For categories with ``f_c < oversample_thr``, the
-            degree of oversampling following the square-root inverse frequency
-            heuristic above.
-        filter_empty_gt (bool, optional): If set true, images without bounding
-            boxes will not be oversampled. Otherwise, they will be categorized
-            as the pure background class and involved into the oversampling.
-            Default: True.
-    """
-
-    def __init__(self, dataset, oversample_thr, filter_empty_gt=True):
-        self.dataset = dataset
-        self.oversample_thr = oversample_thr
-        self.filter_empty_gt = filter_empty_gt
-        self.CLASSES = dataset.CLASSES
-
-        repeat_factors = self._get_repeat_factors(dataset, oversample_thr)
-        repeat_indices = []
-        for dataset_idx, repeat_factor in enumerate(repeat_factors):
-            repeat_indices.extend([dataset_idx] * math.ceil(repeat_factor))
-        self.repeat_indices = repeat_indices
-
-        flags = []
-        if hasattr(self.dataset, 'flag'):
-            for flag, repeat_factor in zip(self.dataset.flag, repeat_factors):
-                flags.extend([flag] * int(math.ceil(repeat_factor)))
-            assert len(flags) == len(repeat_indices)
-        self.flag = np.asarray(flags, dtype=np.uint8)
-
-    def _get_repeat_factors(self, dataset, repeat_thr):
-        """Get repeat factor for each images in the dataset.
-
-        Args:
-            dataset (:obj:`CustomDataset`): The dataset
-            repeat_thr (float): The threshold of frequency. If an image
-                contains the categories whose frequency below the threshold,
-                it would be repeated.
-
-        Returns:
-            list[float]: The repeat factors for each images in the dataset.
-        """
-
-        # 1. For each category c, compute the fraction # of images
-        #   that contain it: f(c)
-        category_freq = defaultdict(int)
-        num_images = len(dataset)
-        for idx in range(num_images):
-            cat_ids = set(self.dataset.get_cat_ids(idx))
-            if len(cat_ids) == 0 and not self.filter_empty_gt:
-                cat_ids = set([len(self.CLASSES)])
-            for cat_id in cat_ids:
-                category_freq[cat_id] += 1
-        for k, v in category_freq.items():
-            category_freq[k] = v / num_images
-
-        # 2. For each category c, compute the category-level repeat factor:
-        #    r(c) = max(1, sqrt(t/f(c)))
-        category_repeat = {
-            cat_id: max(1.0, math.sqrt(repeat_thr / cat_freq))
-            for cat_id, cat_freq in category_freq.items()
-        }
-
-        # 3. For each image I, compute the image-level repeat factor:
-        #    r(I) = max_{c in I} r(c)
-        repeat_factors = []
-        for idx in range(num_images):
-            cat_ids = set(self.dataset.get_cat_ids(idx))
-            if len(cat_ids) == 0 and not self.filter_empty_gt:
-                cat_ids = set([len(self.CLASSES)])
-            repeat_factor = 1
-            if len(cat_ids) > 0:
-                repeat_factor = max(
-                    {category_repeat[cat_id]
-                     for cat_id in cat_ids})
-            repeat_factors.append(repeat_factor)
-
-        return repeat_factors
-
-    def __getitem__(self, idx):
-        ori_index = self.repeat_indices[idx]
-        return self.dataset[ori_index]
-
-    def __len__(self):
-        """Length after repetition."""
-        return len(self.repeat_indices)
diff --git a/spaces/Roboflow/DINO-GPT4V/README.md b/spaces/Roboflow/DINO-GPT4V/README.md
deleted file mode 100644
index 6729ba1b56c726a1f9f712655571e704e0e9d179..0000000000000000000000000000000000000000
--- a/spaces/Roboflow/DINO-GPT4V/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: DINO GPT4V
-emoji: 🏃
-colorFrom: green
-colorTo: gray
-sdk: gradio
-sdk_version: 4.1.1
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/Roboflow/DINO-GPT4V/app.py b/spaces/Roboflow/DINO-GPT4V/app.py
deleted file mode 100644
index ee1fc52232d8478359fc1604bf9e2095b7d79cb7..0000000000000000000000000000000000000000
--- a/spaces/Roboflow/DINO-GPT4V/app.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import gradio as gr
-from autodistill_gpt_4v import GPT4V
-from autodistill.detection import CaptionOntology
-from autodistill_grounding_dino import GroundingDINO
-from autodistill.utils import plot
-import tempfile
-import cv2
-
-from autodistill.core.custom_detection_model import CustomDetectionModel
-
-MARKDOWN = """
-# DINO-GPT4V
-
-Use Grounding DINO and GPT-4V to label specific objects.
-
-Visit [awesome-openai-vision-api-experiments](https://github.com/roboflow/awesome-openai-vision-api-experiments) 
-repository to find more OpenAI Vision API experiments or contribute your own."""
-
-def respond(api_key, input_image, dino_prompt, gpt_prompt):
-    input_image = cv2.cvtColor(input_image, cv2.COLOR_BGR2RGB)
-    cv2.imwrite("input.jpg", input_image)
-
-    DINOGPT = CustomDetectionModel(
-        detection_model=GroundingDINO(
-            CaptionOntology({dino_prompt: dino_prompt})
-        ),
-        classification_model=GPT4V(
-            CaptionOntology({k: k for k in gpt_prompt.split(", ")}),
-            api_key=api_key
-        )
-    )
-
-    results = DINOGPT.predict("input.jpg")
-
-    result = plot(
-        image=cv2.imread("input.jpg"),
-        detections=results,
-        classes=gpt_prompt.split(", "),
-        raw=True
-    )
-
-    return result
-
-with gr.Blocks() as demo:
-    gr.Markdown(MARKDOWN)
-    with gr.Row():
-        with gr.Column():
-            api_key_textbox = gr.Textbox(
-                label="OpenAI API KEY", type="password")
-            dino_prompt = gr.Textbox(label="Grounding DINO Prompt")
-            gpt_prompt = gr.Textbox(label="GPT-4V Prompt")
-            input_image = gr.Image(type="numpy", label="Input Image")
-        with gr.Column():
-            output_image = gr.Image(type="numpy", label="Output Image")
-            submit_button = gr.Button()
-
-    submit_button.click(
-        fn=respond,
-        inputs=[api_key_textbox, input_image, dino_prompt, gpt_prompt],
-        outputs=[output_image]
-    )
-
-demo.launch()
\ No newline at end of file
diff --git a/spaces/Rothfeld/kmeans-pixelartifier/README.md b/spaces/Rothfeld/kmeans-pixelartifier/README.md
deleted file mode 100644
index 7dedeff8802c69b8f6debc5e99ae4c7097a0d4f7..0000000000000000000000000000000000000000
--- a/spaces/Rothfeld/kmeans-pixelartifier/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Kmeans Pixelartifier
-emoji: 🏢
-colorFrom: gray
-colorTo: blue
-sdk: gradio
-sdk_version: 3.4
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/Rothfeld/stable-diffusion-mat-outpainting-primer/networks/basic_module.py b/spaces/Rothfeld/stable-diffusion-mat-outpainting-primer/networks/basic_module.py
deleted file mode 100644
index 12d71999f66cf9891950e0979fe697a392e7fc21..0000000000000000000000000000000000000000
--- a/spaces/Rothfeld/stable-diffusion-mat-outpainting-primer/networks/basic_module.py
+++ /dev/null
@@ -1,583 +0,0 @@
-import sys
-sys.path.insert(0, '../')
-from collections import OrderedDict
-import numpy as np
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-from torch_utils import misc
-from torch_utils import persistence
-from torch_utils.ops import conv2d_resample
-from torch_utils.ops import upfirdn2d
-from torch_utils.ops import bias_act
-
-#----------------------------------------------------------------------------
-
-@misc.profiled_function
-def normalize_2nd_moment(x, dim=1, eps=1e-8):
-    return x * (x.square().mean(dim=dim, keepdim=True) + eps).rsqrt()
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class FullyConnectedLayer(nn.Module):
-    def __init__(self,
-                 in_features,                # Number of input features.
-                 out_features,               # Number of output features.
-                 bias            = True,     # Apply additive bias before the activation function?
-                 activation      = 'linear', # Activation function: 'relu', 'lrelu', etc.
-                 lr_multiplier   = 1,        # Learning rate multiplier.
-                 bias_init       = 0,        # Initial value for the additive bias.
-                 ):
-        super().__init__()
-        self.weight = torch.nn.Parameter(torch.randn([out_features, in_features]) / lr_multiplier)
-        self.bias = torch.nn.Parameter(torch.full([out_features], np.float32(bias_init))) if bias else None
-        self.activation = activation
-
-        self.weight_gain = lr_multiplier / np.sqrt(in_features)
-        self.bias_gain = lr_multiplier
-
-    def forward(self, x):
-        w = self.weight * self.weight_gain
-        b = self.bias
-        if b is not None and self.bias_gain != 1:
-            b = b * self.bias_gain
-
-        if self.activation == 'linear' and b is not None:
-            # out = torch.addmm(b.unsqueeze(0), x, w.t())
-            x = x.matmul(w.t())
-            out = x + b.reshape([-1 if i == x.ndim-1 else 1 for i in range(x.ndim)])
-        else:
-            x = x.matmul(w.t())
-            out = bias_act.bias_act(x, b, act=self.activation, dim=x.ndim-1)
-        return out
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class Conv2dLayer(nn.Module):
-    def __init__(self,
-                 in_channels,                    # Number of input channels.
-                 out_channels,                   # Number of output channels.
-                 kernel_size,                    # Width and height of the convolution kernel.
-                 bias            = True,         # Apply additive bias before the activation function?
-                 activation      = 'linear',     # Activation function: 'relu', 'lrelu', etc.
-                 up              = 1,            # Integer upsampling factor.
-                 down            = 1,            # Integer downsampling factor.
-                 resample_filter = [1,3,3,1],    # Low-pass filter to apply when resampling activations.
-                 conv_clamp      = None,         # Clamp the output to +-X, None = disable clamping.
-                 trainable       = True,         # Update the weights of this layer during training?
-                 ):
-        super().__init__()
-        self.activation = activation
-        self.up = up
-        self.down = down
-        self.register_buffer('resample_filter', upfirdn2d.setup_filter(resample_filter))
-        self.conv_clamp = conv_clamp
-        self.padding = kernel_size // 2
-        self.weight_gain = 1 / np.sqrt(in_channels * (kernel_size ** 2))
-        self.act_gain = bias_act.activation_funcs[activation].def_gain
-
-        weight = torch.randn([out_channels, in_channels, kernel_size, kernel_size])
-        bias = torch.zeros([out_channels]) if bias else None
-        if trainable:
-            self.weight = torch.nn.Parameter(weight)
-            self.bias = torch.nn.Parameter(bias) if bias is not None else None
-        else:
-            self.register_buffer('weight', weight)
-            if bias is not None:
-                self.register_buffer('bias', bias)
-            else:
-                self.bias = None
-
-    def forward(self, x, gain=1):
-        w = self.weight * self.weight_gain
-        x = conv2d_resample.conv2d_resample(x=x, w=w, f=self.resample_filter, up=self.up, down=self.down,
-                                            padding=self.padding)
-
-        act_gain = self.act_gain * gain
-        act_clamp = self.conv_clamp * gain if self.conv_clamp is not None else None
-        out = bias_act.bias_act(x, self.bias, act=self.activation, gain=act_gain, clamp=act_clamp)
-        return out
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class ModulatedConv2d(nn.Module):
-    def __init__(self,
-                 in_channels,                   # Number of input channels.
-                 out_channels,                  # Number of output channels.
-                 kernel_size,                   # Width and height of the convolution kernel.
-                 style_dim,                     # dimension of the style code
-                 demodulate=True,               # perfrom demodulation
-                 up=1,                          # Integer upsampling factor.
-                 down=1,                        # Integer downsampling factor.
-                 resample_filter=[1,3,3,1],  # Low-pass filter to apply when resampling activations.
-                 conv_clamp=None,               # Clamp the output to +-X, None = disable clamping.
-                 ):
-        super().__init__()
-        self.demodulate = demodulate
-
-        self.weight = torch.nn.Parameter(torch.randn([1, out_channels, in_channels, kernel_size, kernel_size]))
-        self.out_channels = out_channels
-        self.kernel_size = kernel_size
-        self.weight_gain = 1 / np.sqrt(in_channels * (kernel_size ** 2))
-        self.padding = self.kernel_size // 2
-        self.up = up
-        self.down = down
-        self.register_buffer('resample_filter', upfirdn2d.setup_filter(resample_filter))
-        self.conv_clamp = conv_clamp
-
-        self.affine = FullyConnectedLayer(style_dim, in_channels, bias_init=1)
-
-    def forward(self, x, style):
-        batch, in_channels, height, width = x.shape
-        style = self.affine(style).view(batch, 1, in_channels, 1, 1)
-        weight = self.weight * self.weight_gain * style
-
-        if self.demodulate:
-            decoefs = (weight.pow(2).sum(dim=[2, 3, 4]) + 1e-8).rsqrt()
-            weight = weight * decoefs.view(batch, self.out_channels, 1, 1, 1)
-
-        weight = weight.view(batch * self.out_channels, in_channels, self.kernel_size, self.kernel_size)
-        x = x.view(1, batch * in_channels, height, width)
-        x = conv2d_resample.conv2d_resample(x=x, w=weight, f=self.resample_filter, up=self.up, down=self.down,
-                                            padding=self.padding, groups=batch)
-        out = x.view(batch, self.out_channels, *x.shape[2:])
-
-        return out
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class StyleConv(torch.nn.Module):
-    def __init__(self,
-        in_channels,                    # Number of input channels.
-        out_channels,                   # Number of output channels.
-        style_dim,                      # Intermediate latent (W) dimensionality.
-        resolution,                     # Resolution of this layer.
-        kernel_size     = 3,            # Convolution kernel size.
-        up              = 1,            # Integer upsampling factor.
-        use_noise       = True,         # Enable noise input?
-        activation      = 'lrelu',      # Activation function: 'relu', 'lrelu', etc.
-        resample_filter = [1,3,3,1],    # Low-pass filter to apply when resampling activations.
-        conv_clamp      = None,         # Clamp the output of convolution layers to +-X, None = disable clamping.
-        demodulate      = True,         # perform demodulation
-    ):
-        super().__init__()
-
-        self.conv = ModulatedConv2d(in_channels=in_channels,
-                                    out_channels=out_channels,
-                                    kernel_size=kernel_size,
-                                    style_dim=style_dim,
-                                    demodulate=demodulate,
-                                    up=up,
-                                    resample_filter=resample_filter,
-                                    conv_clamp=conv_clamp)
-
-        self.use_noise = use_noise
-        self.resolution = resolution
-        if use_noise:
-            self.register_buffer('noise_const', torch.randn([resolution, resolution]))
-            self.noise_strength = torch.nn.Parameter(torch.zeros([]))
-
-        self.bias = torch.nn.Parameter(torch.zeros([out_channels]))
-        self.activation = activation
-        self.act_gain = bias_act.activation_funcs[activation].def_gain
-        self.conv_clamp = conv_clamp
-
-    def forward(self, x, style, noise_mode='random', gain=1):
-        x = self.conv(x, style)
-
-        assert noise_mode in ['random', 'const', 'none']
-
-        if self.use_noise:
-            if noise_mode == 'random':
-                xh, xw = x.size()[-2:]
-                noise = torch.randn([x.shape[0], 1, xh, xw], device=x.device) \
-                        * self.noise_strength
-            if noise_mode == 'const':
-                noise = self.noise_const * self.noise_strength
-            x = x + noise
-
-        act_gain = self.act_gain * gain
-        act_clamp = self.conv_clamp * gain if self.conv_clamp is not None else None
-        out = bias_act.bias_act(x, self.bias, act=self.activation, gain=act_gain, clamp=act_clamp)
-
-        return out
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class ToRGB(torch.nn.Module):
-    def __init__(self,
-                 in_channels,
-                 out_channels,
-                 style_dim,
-                 kernel_size=1,
-                 resample_filter=[1,3,3,1],
-                 conv_clamp=None,
-                 demodulate=False):
-        super().__init__()
-
-        self.conv = ModulatedConv2d(in_channels=in_channels,
-                                    out_channels=out_channels,
-                                    kernel_size=kernel_size,
-                                    style_dim=style_dim,
-                                    demodulate=demodulate,
-                                    resample_filter=resample_filter,
-                                    conv_clamp=conv_clamp)
-        self.bias = torch.nn.Parameter(torch.zeros([out_channels]))
-        self.register_buffer('resample_filter', upfirdn2d.setup_filter(resample_filter))
-        self.conv_clamp = conv_clamp
-
-    def forward(self, x, style, skip=None):
-        x = self.conv(x, style)
-        out = bias_act.bias_act(x, self.bias, clamp=self.conv_clamp)
-
-        if skip is not None:
-            if skip.shape != out.shape:
-                skip = upfirdn2d.upsample2d(skip, self.resample_filter)
-            out = out + skip
-
-        return out
-
-#----------------------------------------------------------------------------
-
-@misc.profiled_function
-def get_style_code(a, b):
-    return torch.cat([a, b], dim=1)
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class DecBlockFirst(nn.Module):
-    def __init__(self, in_channels, out_channels, activation, style_dim, use_noise, demodulate, img_channels):
-        super().__init__()
-        self.fc = FullyConnectedLayer(in_features=in_channels*2,
-                                      out_features=in_channels*4**2,
-                                      activation=activation)
-        self.conv = StyleConv(in_channels=in_channels,
-                              out_channels=out_channels,
-                              style_dim=style_dim,
-                              resolution=4,
-                              kernel_size=3,
-                              use_noise=use_noise,
-                              activation=activation,
-                              demodulate=demodulate,
-                              )
-        self.toRGB = ToRGB(in_channels=out_channels,
-                           out_channels=img_channels,
-                           style_dim=style_dim,
-                           kernel_size=1,
-                           demodulate=False,
-                           )
-
-    def forward(self, x, ws, gs, E_features, noise_mode='random'):
-        x = self.fc(x).view(x.shape[0], -1, 4, 4)
-        x = x + E_features[2]
-        style = get_style_code(ws[:, 0], gs)
-        x = self.conv(x, style, noise_mode=noise_mode)
-        style = get_style_code(ws[:, 1], gs)
-        img = self.toRGB(x, style, skip=None)
-
-        return x, img
-
-
-@persistence.persistent_class
-class DecBlockFirstV2(nn.Module):
-    def __init__(self, in_channels, out_channels, activation, style_dim, use_noise, demodulate, img_channels):
-        super().__init__()
-        self.conv0 = Conv2dLayer(in_channels=in_channels,
-                                out_channels=in_channels,
-                                kernel_size=3,
-                                activation=activation,
-                                )
-        self.conv1 = StyleConv(in_channels=in_channels,
-                              out_channels=out_channels,
-                              style_dim=style_dim,
-                              resolution=4,
-                              kernel_size=3,
-                              use_noise=use_noise,
-                              activation=activation,
-                              demodulate=demodulate,
-                              )
-        self.toRGB = ToRGB(in_channels=out_channels,
-                           out_channels=img_channels,
-                           style_dim=style_dim,
-                           kernel_size=1,
-                           demodulate=False,
-                           )
-
-    def forward(self, x, ws, gs, E_features, noise_mode='random'):
-        # x = self.fc(x).view(x.shape[0], -1, 4, 4)
-        x = self.conv0(x)
-        x = x + E_features[2]
-        style = get_style_code(ws[:, 0], gs)
-        x = self.conv1(x, style, noise_mode=noise_mode)
-        style = get_style_code(ws[:, 1], gs)
-        img = self.toRGB(x, style, skip=None)
-
-        return x, img
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class DecBlock(nn.Module):
-    def __init__(self, res, in_channels, out_channels, activation, style_dim, use_noise, demodulate, img_channels):  # res = 2, ..., resolution_log2
-        super().__init__()
-        self.res = res
-
-        self.conv0 = StyleConv(in_channels=in_channels,
-                               out_channels=out_channels,
-                               style_dim=style_dim,
-                               resolution=2**res,
-                               kernel_size=3,
-                               up=2,
-                               use_noise=use_noise,
-                               activation=activation,
-                               demodulate=demodulate,
-                               )
-        self.conv1 = StyleConv(in_channels=out_channels,
-                               out_channels=out_channels,
-                               style_dim=style_dim,
-                               resolution=2**res,
-                               kernel_size=3,
-                               use_noise=use_noise,
-                               activation=activation,
-                               demodulate=demodulate,
-                               )
-        self.toRGB = ToRGB(in_channels=out_channels,
-                           out_channels=img_channels,
-                           style_dim=style_dim,
-                           kernel_size=1,
-                           demodulate=False,
-                           )
-
-    def forward(self, x, img, ws, gs, E_features, noise_mode='random'):
-        style = get_style_code(ws[:, self.res * 2 - 5], gs)
-        x = self.conv0(x, style, noise_mode=noise_mode)
-        x = x + E_features[self.res]
-        style = get_style_code(ws[:, self.res * 2 - 4], gs)
-        x = self.conv1(x, style, noise_mode=noise_mode)
-        style = get_style_code(ws[:, self.res * 2 - 3], gs)
-        img = self.toRGB(x, style, skip=img)
-
-        return x, img
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class MappingNet(torch.nn.Module):
-    def __init__(self,
-        z_dim,                      # Input latent (Z) dimensionality, 0 = no latent.
-        c_dim,                      # Conditioning label (C) dimensionality, 0 = no label.
-        w_dim,                      # Intermediate latent (W) dimensionality.
-        num_ws,                     # Number of intermediate latents to output, None = do not broadcast.
-        num_layers      = 8,        # Number of mapping layers.
-        embed_features  = None,     # Label embedding dimensionality, None = same as w_dim.
-        layer_features  = None,     # Number of intermediate features in the mapping layers, None = same as w_dim.
-        activation      = 'lrelu',  # Activation function: 'relu', 'lrelu', etc.
-        lr_multiplier   = 0.01,     # Learning rate multiplier for the mapping layers.
-        w_avg_beta      = 0.995,    # Decay for tracking the moving average of W during training, None = do not track.
-    ):
-        super().__init__()
-        self.z_dim = z_dim
-        self.c_dim = c_dim
-        self.w_dim = w_dim
-        self.num_ws = num_ws
-        self.num_layers = num_layers
-        self.w_avg_beta = w_avg_beta
-
-        if embed_features is None:
-            embed_features = w_dim
-        if c_dim == 0:
-            embed_features = 0
-        if layer_features is None:
-            layer_features = w_dim
-        features_list = [z_dim + embed_features] + [layer_features] * (num_layers - 1) + [w_dim]
-
-        if c_dim > 0:
-            self.embed = FullyConnectedLayer(c_dim, embed_features)
-        for idx in range(num_layers):
-            in_features = features_list[idx]
-            out_features = features_list[idx + 1]
-            layer = FullyConnectedLayer(in_features, out_features, activation=activation, lr_multiplier=lr_multiplier)
-            setattr(self, f'fc{idx}', layer)
-
-        if num_ws is not None and w_avg_beta is not None:
-            self.register_buffer('w_avg', torch.zeros([w_dim]))
-
-    def forward(self, z, c, truncation_psi=1, truncation_cutoff=None, skip_w_avg_update=False):
-        # Embed, normalize, and concat inputs.
-        x = None
-        with torch.autograd.profiler.record_function('input'):
-            if self.z_dim > 0:
-                x = normalize_2nd_moment(z.to(torch.float32))
-            if self.c_dim > 0:
-                y = normalize_2nd_moment(self.embed(c.to(torch.float32)))
-                x = torch.cat([x, y], dim=1) if x is not None else y
-
-        # Main layers.
-        for idx in range(self.num_layers):
-            layer = getattr(self, f'fc{idx}')
-            x = layer(x)
-
-        # Update moving average of W.
-        if self.w_avg_beta is not None and self.training and not skip_w_avg_update:
-            with torch.autograd.profiler.record_function('update_w_avg'):
-                self.w_avg.copy_(x.detach().mean(dim=0).lerp(self.w_avg, self.w_avg_beta))
-
-        # Broadcast.
-        if self.num_ws is not None:
-            with torch.autograd.profiler.record_function('broadcast'):
-                x = x.unsqueeze(1).repeat([1, self.num_ws, 1])
-
-        # Apply truncation.
-        if truncation_psi != 1:
-            with torch.autograd.profiler.record_function('truncate'):
-                assert self.w_avg_beta is not None
-                if self.num_ws is None or truncation_cutoff is None:
-                    x = self.w_avg.lerp(x, truncation_psi)
-                else:
-                    x[:, :truncation_cutoff] = self.w_avg.lerp(x[:, :truncation_cutoff], truncation_psi)
-
-        return x
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class DisFromRGB(nn.Module):
-    def __init__(self, in_channels, out_channels, activation):  # res = 2, ..., resolution_log2
-        super().__init__()
-        self.conv = Conv2dLayer(in_channels=in_channels,
-                                out_channels=out_channels,
-                                kernel_size=1,
-                                activation=activation,
-                                )
-
-    def forward(self, x):
-        return self.conv(x)
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class DisBlock(nn.Module):
-    def __init__(self, in_channels, out_channels, activation):  # res = 2, ..., resolution_log2
-        super().__init__()
-        self.conv0 = Conv2dLayer(in_channels=in_channels,
-                                 out_channels=in_channels,
-                                 kernel_size=3,
-                                 activation=activation,
-                                 )
-        self.conv1 = Conv2dLayer(in_channels=in_channels,
-                                 out_channels=out_channels,
-                                 kernel_size=3,
-                                 down=2,
-                                 activation=activation,
-                                 )
-        self.skip = Conv2dLayer(in_channels=in_channels,
-                                out_channels=out_channels,
-                                kernel_size=1,
-                                down=2,
-                                bias=False,
-                             )
-
-    def forward(self, x):
-        skip = self.skip(x, gain=np.sqrt(0.5))
-        x = self.conv0(x)
-        x = self.conv1(x, gain=np.sqrt(0.5))
-        out = skip + x
-
-        return out
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class MinibatchStdLayer(torch.nn.Module):
-    def __init__(self, group_size, num_channels=1):
-        super().__init__()
-        self.group_size = group_size
-        self.num_channels = num_channels
-
-    def forward(self, x):
-        N, C, H, W = x.shape
-        with misc.suppress_tracer_warnings():  # as_tensor results are registered as constants
-            G = torch.min(torch.as_tensor(self.group_size),
-                          torch.as_tensor(N)) if self.group_size is not None else N
-        F = self.num_channels
-        c = C // F
-
-        y = x.reshape(G, -1, F, c, H,
-                      W)  # [GnFcHW] Split minibatch N into n groups of size G, and channels C into F groups of size c.
-        y = y - y.mean(dim=0)  # [GnFcHW] Subtract mean over group.
-        y = y.square().mean(dim=0)  # [nFcHW]  Calc variance over group.
-        y = (y + 1e-8).sqrt()  # [nFcHW]  Calc stddev over group.
-        y = y.mean(dim=[2, 3, 4])  # [nF]     Take average over channels and pixels.
-        y = y.reshape(-1, F, 1, 1)  # [nF11]   Add missing dimensions.
-        y = y.repeat(G, 1, H, W)  # [NFHW]   Replicate over group and pixels.
-        x = torch.cat([x, y], dim=1)  # [NCHW]   Append to input as new channels.
-        return x
-
-#----------------------------------------------------------------------------
-
-@persistence.persistent_class
-class Discriminator(torch.nn.Module):
-    def __init__(self,
-                 c_dim,                        # Conditioning label (C) dimensionality.
-                 img_resolution,               # Input resolution.
-                 img_channels,                 # Number of input color channels.
-                 channel_base       = 32768,    # Overall multiplier for the number of channels.
-                 channel_max        = 512,      # Maximum number of channels in any layer.
-                 channel_decay      = 1,
-                 cmap_dim           = None,     # Dimensionality of mapped conditioning label, None = default.
-                 activation         = 'lrelu',
-                 mbstd_group_size   = 4,        # Group size for the minibatch standard deviation layer, None = entire minibatch.
-                 mbstd_num_channels = 1,        # Number of features for the minibatch standard deviation layer, 0 = disable.
-                 ):
-        super().__init__()
-        self.c_dim = c_dim
-        self.img_resolution = img_resolution
-        self.img_channels = img_channels
-
-        resolution_log2 = int(np.log2(img_resolution))
-        assert img_resolution == 2 ** resolution_log2 and img_resolution >= 4
-        self.resolution_log2 = resolution_log2
-
-        def nf(stage):
-            return np.clip(int(channel_base / 2 ** (stage * channel_decay)), 1, channel_max)
-
-        if cmap_dim == None:
-            cmap_dim = nf(2)
-        if c_dim == 0:
-            cmap_dim = 0
-        self.cmap_dim = cmap_dim
-
-        if c_dim > 0:
-            self.mapping = MappingNet(z_dim=0, c_dim=c_dim, w_dim=cmap_dim, num_ws=None, w_avg_beta=None)
-
-        Dis = [DisFromRGB(img_channels+1, nf(resolution_log2), activation)]
-        for res in range(resolution_log2, 2, -1):
-            Dis.append(DisBlock(nf(res), nf(res-1), activation))
-
-        if mbstd_num_channels > 0:
-            Dis.append(MinibatchStdLayer(group_size=mbstd_group_size, num_channels=mbstd_num_channels))
-        Dis.append(Conv2dLayer(nf(2) + mbstd_num_channels, nf(2), kernel_size=3, activation=activation))
-        self.Dis = nn.Sequential(*Dis)
-
-        self.fc0 = FullyConnectedLayer(nf(2)*4**2, nf(2), activation=activation)
-        self.fc1 = FullyConnectedLayer(nf(2), 1 if cmap_dim == 0 else cmap_dim)
-
-    def forward(self, images_in, masks_in, c):
-        x = torch.cat([masks_in - 0.5, images_in], dim=1)
-        x = self.Dis(x)
-        x = self.fc1(self.fc0(x.flatten(start_dim=1)))
-
-        if self.c_dim > 0:
-            cmap = self.mapping(None, c)
-
-        if self.cmap_dim > 0:
-            x = (x * cmap).sum(dim=1, keepdim=True) * (1 / np.sqrt(self.cmap_dim))
-
-        return x
diff --git a/spaces/ServerX/PorcoDiaz/train/utils.py b/spaces/ServerX/PorcoDiaz/train/utils.py
deleted file mode 100644
index aae833b08acc24b848aa70114fd9b7aad8b1a6ad..0000000000000000000000000000000000000000
--- a/spaces/ServerX/PorcoDiaz/train/utils.py
+++ /dev/null
@@ -1,500 +0,0 @@
-import os, traceback
-import glob
-import sys
-import argparse
-import logging
-import json
-import subprocess
-import numpy as np
-from scipy.io.wavfile import read
-import torch
-
-MATPLOTLIB_FLAG = False
-
-logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
-logger = logging
-
-
-def load_checkpoint_d(checkpoint_path, combd, sbd, optimizer=None, load_opt=1):
-    assert os.path.isfile(checkpoint_path)
-    checkpoint_dict = torch.load(checkpoint_path, map_location="cpu")
-
-    ##################
-    def go(model, bkey):
-        saved_state_dict = checkpoint_dict[bkey]
-        if hasattr(model, "module"):
-            state_dict = model.module.state_dict()
-        else:
-            state_dict = model.state_dict()
-        new_state_dict = {}
-        for k, v in state_dict.items():  # 模型需要的shape
-            try:
-                new_state_dict[k] = saved_state_dict[k]
-                if saved_state_dict[k].shape != state_dict[k].shape:
-                    print(
-                        "shape-%s-mismatch|need-%s|get-%s"
-                        % (k, state_dict[k].shape, saved_state_dict[k].shape)
-                    )  #
-                    raise KeyError
-            except:
-                # logger.info(traceback.format_exc())
-                logger.info("%s is not in the checkpoint" % k)  # pretrain缺失的
-                new_state_dict[k] = v  # 模型自带的随机值
-        if hasattr(model, "module"):
-            model.module.load_state_dict(new_state_dict, strict=False)
-        else:
-            model.load_state_dict(new_state_dict, strict=False)
-
-    go(combd, "combd")
-    go(sbd, "sbd")
-    #############
-    logger.info("Loaded model weights")
-
-    iteration = checkpoint_dict["iteration"]
-    learning_rate = checkpoint_dict["learning_rate"]
-    if (
-        optimizer is not None and load_opt == 1
-    ):  ###加载不了，如果是空的的话，重新初始化，可能还会影响lr时间表的更新，因此在train文件最外围catch
-        #   try:
-        optimizer.load_state_dict(checkpoint_dict["optimizer"])
-    #   except:
-    #     traceback.print_exc()
-    logger.info("Loaded checkpoint '{}' (epoch {})".format(checkpoint_path, iteration))
-    return model, optimizer, learning_rate, iteration
-
-
-# def load_checkpoint(checkpoint_path, model, optimizer=None):
-#   assert os.path.isfile(checkpoint_path)
-#   checkpoint_dict = torch.load(checkpoint_path, map_location='cpu')
-#   iteration = checkpoint_dict['iteration']
-#   learning_rate = checkpoint_dict['learning_rate']
-#   if optimizer is not None:
-#     optimizer.load_state_dict(checkpoint_dict['optimizer'])
-#   # print(1111)
-#   saved_state_dict = checkpoint_dict['model']
-#   # print(1111)
-#
-#   if hasattr(model, 'module'):
-#     state_dict = model.module.state_dict()
-#   else:
-#     state_dict = model.state_dict()
-#   new_state_dict= {}
-#   for k, v in state_dict.items():
-#     try:
-#       new_state_dict[k] = saved_state_dict[k]
-#     except:
-#       logger.info("%s is not in the checkpoint" % k)
-#       new_state_dict[k] = v
-#   if hasattr(model, 'module'):
-#     model.module.load_state_dict(new_state_dict)
-#   else:
-#     model.load_state_dict(new_state_dict)
-#   logger.info("Loaded checkpoint '{}' (epoch {})" .format(
-#     checkpoint_path, iteration))
-#   return model, optimizer, learning_rate, iteration
-def load_checkpoint(checkpoint_path, model, optimizer=None, load_opt=1):
-    assert os.path.isfile(checkpoint_path)
-    checkpoint_dict = torch.load(checkpoint_path, map_location="cpu")
-
-    saved_state_dict = checkpoint_dict["model"]
-    if hasattr(model, "module"):
-        state_dict = model.module.state_dict()
-    else:
-        state_dict = model.state_dict()
-    new_state_dict = {}
-    for k, v in state_dict.items():  # 模型需要的shape
-        try:
-            new_state_dict[k] = saved_state_dict[k]
-            if saved_state_dict[k].shape != state_dict[k].shape:
-                print(
-                    "shape-%s-mismatch|need-%s|get-%s"
-                    % (k, state_dict[k].shape, saved_state_dict[k].shape)
-                )  #
-                raise KeyError
-        except:
-            # logger.info(traceback.format_exc())
-            logger.info("%s is not in the checkpoint" % k)  # pretrain缺失的
-            new_state_dict[k] = v  # 模型自带的随机值
-    if hasattr(model, "module"):
-        model.module.load_state_dict(new_state_dict, strict=False)
-    else:
-        model.load_state_dict(new_state_dict, strict=False)
-    logger.info("Loaded model weights")
-
-    iteration = checkpoint_dict["iteration"]
-    learning_rate = checkpoint_dict["learning_rate"]
-    if (
-        optimizer is not None and load_opt == 1
-    ):  ###加载不了，如果是空的的话，重新初始化，可能还会影响lr时间表的更新，因此在train文件最外围catch
-        #   try:
-        optimizer.load_state_dict(checkpoint_dict["optimizer"])
-    #   except:
-    #     traceback.print_exc()
-    logger.info("Loaded checkpoint '{}' (epoch {})".format(checkpoint_path, iteration))
-    return model, optimizer, learning_rate, iteration
-
-
-def save_checkpoint(model, optimizer, learning_rate, iteration, checkpoint_path):
-    logger.info(
-        "Saving model and optimizer state at epoch {} to {}".format(
-            iteration, checkpoint_path
-        )
-    )
-    if hasattr(model, "module"):
-        state_dict = model.module.state_dict()
-    else:
-        state_dict = model.state_dict()
-    torch.save(
-        {
-            "model": state_dict,
-            "iteration": iteration,
-            "optimizer": optimizer.state_dict(),
-            "learning_rate": learning_rate,
-        },
-        checkpoint_path,
-    )
-
-
-def save_checkpoint_d(combd, sbd, optimizer, learning_rate, iteration, checkpoint_path):
-    logger.info(
-        "Saving model and optimizer state at epoch {} to {}".format(
-            iteration, checkpoint_path
-        )
-    )
-    if hasattr(combd, "module"):
-        state_dict_combd = combd.module.state_dict()
-    else:
-        state_dict_combd = combd.state_dict()
-    if hasattr(sbd, "module"):
-        state_dict_sbd = sbd.module.state_dict()
-    else:
-        state_dict_sbd = sbd.state_dict()
-    torch.save(
-        {
-            "combd": state_dict_combd,
-            "sbd": state_dict_sbd,
-            "iteration": iteration,
-            "optimizer": optimizer.state_dict(),
-            "learning_rate": learning_rate,
-        },
-        checkpoint_path,
-    )
-
-
-def summarize(
-    writer,
-    global_step,
-    scalars={},
-    histograms={},
-    images={},
-    audios={},
-    audio_sampling_rate=22050,
-):
-    for k, v in scalars.items():
-        writer.add_scalar(k, v, global_step)
-    for k, v in histograms.items():
-        writer.add_histogram(k, v, global_step)
-    for k, v in images.items():
-        writer.add_image(k, v, global_step, dataformats="HWC")
-    for k, v in audios.items():
-        writer.add_audio(k, v, global_step, audio_sampling_rate)
-
-
-def latest_checkpoint_path(dir_path, regex="G_*.pth"):
-    f_list = glob.glob(os.path.join(dir_path, regex))
-    f_list.sort(key=lambda f: int("".join(filter(str.isdigit, f))))
-    x = f_list[-1]
-    print(x)
-    return x
-
-
-def plot_spectrogram_to_numpy(spectrogram):
-    global MATPLOTLIB_FLAG
-    if not MATPLOTLIB_FLAG:
-        import matplotlib
-
-        matplotlib.use("Agg")
-        MATPLOTLIB_FLAG = True
-        mpl_logger = logging.getLogger("matplotlib")
-        mpl_logger.setLevel(logging.WARNING)
-    import matplotlib.pylab as plt
-    import numpy as np
-
-    fig, ax = plt.subplots(figsize=(10, 2))
-    im = ax.imshow(spectrogram, aspect="auto", origin="lower", interpolation="none")
-    plt.colorbar(im, ax=ax)
-    plt.xlabel("Frames")
-    plt.ylabel("Channels")
-    plt.tight_layout()
-
-    fig.canvas.draw()
-    data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep="")
-    data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
-    plt.close()
-    return data
-
-
-def plot_alignment_to_numpy(alignment, info=None):
-    global MATPLOTLIB_FLAG
-    if not MATPLOTLIB_FLAG:
-        import matplotlib
-
-        matplotlib.use("Agg")
-        MATPLOTLIB_FLAG = True
-        mpl_logger = logging.getLogger("matplotlib")
-        mpl_logger.setLevel(logging.WARNING)
-    import matplotlib.pylab as plt
-    import numpy as np
-
-    fig, ax = plt.subplots(figsize=(6, 4))
-    im = ax.imshow(
-        alignment.transpose(), aspect="auto", origin="lower", interpolation="none"
-    )
-    fig.colorbar(im, ax=ax)
-    xlabel = "Decoder timestep"
-    if info is not None:
-        xlabel += "\n\n" + info
-    plt.xlabel(xlabel)
-    plt.ylabel("Encoder timestep")
-    plt.tight_layout()
-
-    fig.canvas.draw()
-    data = np.fromstring(fig.canvas.tostring_rgb(), dtype=np.uint8, sep="")
-    data = data.reshape(fig.canvas.get_width_height()[::-1] + (3,))
-    plt.close()
-    return data
-
-
-def load_wav_to_torch(full_path):
-    sampling_rate, data = read(full_path)
-    return torch.FloatTensor(data.astype(np.float32)), sampling_rate
-
-
-def load_filepaths_and_text(filename, split="|"):
-    with open(filename, encoding='utf-8') as f:
-        filepaths_and_text = [line.strip().split(split) for line in f]
-        filepaths_and_text = [item for item in filepaths_and_text if len(item) == 5]  # ensure there are 5 items.
-    return filepaths_and_text
-
-
-def get_hparams(init=True):
-    """
-    todo:
-      结尾七人组：
-        保存频率、总epoch                     done
-        bs                                    done
-        pretrainG、pretrainD                  done
-        卡号：os.en["CUDA_VISIBLE_DEVICES"]   done
-        if_latest                             done
-      模型：if_f0                             done
-      采样率：自动选择config                  done
-      是否缓存数据集进GPU:if_cache_data_in_gpu done
-
-      -m:
-        自动决定training_files路径,改掉train_nsf_load_pretrain.py里的hps.data.training_files    done
-      -c不要了
-    """
-    parser = argparse.ArgumentParser()
-    # parser.add_argument('-c', '--config', type=str, default="configs/40k.json",help='JSON file for configuration')
-    parser.add_argument(
-        "-se",
-        "--save_every_epoch",
-        type=int,
-        required=True,
-        help="checkpoint save frequency (epoch)",
-    )
-    parser.add_argument(
-        "-te", "--total_epoch", type=int, required=True, help="total_epoch"
-    )
-    parser.add_argument(
-        "-pg", "--pretrainG", type=str, default="", help="Pretrained Discriminator path"
-    )
-    parser.add_argument(
-        "-pd", "--pretrainD", type=str, default="", help="Pretrained Generator path"
-    )
-    parser.add_argument("-g", "--gpus", type=str, default="0", help="split by -")
-    parser.add_argument(
-        "-bs", "--batch_size", type=int, required=True, help="batch size"
-    )
-    parser.add_argument(
-        "-e", "--experiment_dir", type=str, required=True, help="experiment dir"
-    )  # -m
-    parser.add_argument(
-        "-sr", "--sample_rate", type=str, required=True, help="sample rate, 32k/40k/48k"
-    )
-    parser.add_argument(
-        "-sw",
-        "--save_every_weights",
-        type=str,
-        default="0",
-        help="save the extracted model in weights directory when saving checkpoints",
-    )
-    parser.add_argument(
-        "-v", "--version", type=str, required=True, help="model version"
-    )
-    parser.add_argument(
-        "-f0",
-        "--if_f0",
-        type=int,
-        required=True,
-        help="use f0 as one of the inputs of the model, 1 or 0",
-    )
-    parser.add_argument(
-        "-l",
-        "--if_latest",
-        type=int,
-        required=True,
-        help="if only save the latest G/D pth file, 1 or 0",
-    )
-    parser.add_argument(
-        "-c",
-        "--if_cache_data_in_gpu",
-        type=int,
-        required=True,
-        help="if caching the dataset in GPU memory, 1 or 0",
-    )
-    parser.add_argument(
-        "-li", "--log_interval", type=int, required=True, help="log interval"
-    )
-
-    args = parser.parse_args()
-    name = args.experiment_dir
-    experiment_dir = os.path.join("./logs", args.experiment_dir)
-
-    if not os.path.exists(experiment_dir):
-        os.makedirs(experiment_dir)
-
-    if args.version == "v1" or args.sample_rate == "40k":
-        config_path = "configs/%s.json" % args.sample_rate
-    else:
-        config_path = "configs/%s_v2.json" % args.sample_rate
-    config_save_path = os.path.join(experiment_dir, "config.json")
-    if init:
-        with open(config_path, "r") as f:
-            data = f.read()
-        with open(config_save_path, "w") as f:
-            f.write(data)
-    else:
-        with open(config_save_path, "r") as f:
-            data = f.read()
-    config = json.loads(data)
-
-    hparams = HParams(**config)
-    hparams.model_dir = hparams.experiment_dir = experiment_dir
-    hparams.save_every_epoch = args.save_every_epoch
-    hparams.name = name
-    hparams.total_epoch = args.total_epoch
-    hparams.pretrainG = args.pretrainG
-    hparams.pretrainD = args.pretrainD
-    hparams.version = args.version
-    hparams.gpus = args.gpus
-    hparams.train.batch_size = args.batch_size
-    hparams.sample_rate = args.sample_rate
-    hparams.if_f0 = args.if_f0
-    hparams.if_latest = args.if_latest
-    hparams.save_every_weights = args.save_every_weights
-    hparams.if_cache_data_in_gpu = args.if_cache_data_in_gpu
-    hparams.data.training_files = "%s/filelist.txt" % experiment_dir
-
-    hparams.train.log_interval = args.log_interval
-
-    # Update log_interval in the 'train' section of the config dictionary
-    config["train"]["log_interval"] = args.log_interval
-
-    # Save the updated config back to the config_save_path
-    with open(config_save_path, "w") as f:
-        json.dump(config, f, indent=4)
-
-    return hparams
-
-
-def get_hparams_from_dir(model_dir):
-    config_save_path = os.path.join(model_dir, "config.json")
-    with open(config_save_path, "r") as f:
-        data = f.read()
-    config = json.loads(data)
-
-    hparams = HParams(**config)
-    hparams.model_dir = model_dir
-    return hparams
-
-
-def get_hparams_from_file(config_path):
-    with open(config_path, "r") as f:
-        data = f.read()
-    config = json.loads(data)
-
-    hparams = HParams(**config)
-    return hparams
-
-
-def check_git_hash(model_dir):
-    source_dir = os.path.dirname(os.path.realpath(__file__))
-    if not os.path.exists(os.path.join(source_dir, ".git")):
-        logger.warn(
-            "{} is not a git repository, therefore hash value comparison will be ignored.".format(
-                source_dir
-            )
-        )
-        return
-
-    cur_hash = subprocess.getoutput("git rev-parse HEAD")
-
-    path = os.path.join(model_dir, "githash")
-    if os.path.exists(path):
-        saved_hash = open(path).read()
-        if saved_hash != cur_hash:
-            logger.warn(
-                "git hash values are different. {}(saved) != {}(current)".format(
-                    saved_hash[:8], cur_hash[:8]
-                )
-            )
-    else:
-        open(path, "w").write(cur_hash)
-
-
-def get_logger(model_dir, filename="train.log"):
-    global logger
-    logger = logging.getLogger(os.path.basename(model_dir))
-    logger.setLevel(logging.DEBUG)
-
-    formatter = logging.Formatter("%(asctime)s\t%(name)s\t%(levelname)s\t%(message)s")
-    if not os.path.exists(model_dir):
-        os.makedirs(model_dir)
-    h = logging.FileHandler(os.path.join(model_dir, filename))
-    h.setLevel(logging.DEBUG)
-    h.setFormatter(formatter)
-    logger.addHandler(h)
-    return logger
-
-
-class HParams:
-    def __init__(self, **kwargs):
-        for k, v in kwargs.items():
-            if type(v) == dict:
-                v = HParams(**v)
-            self[k] = v
-
-    def keys(self):
-        return self.__dict__.keys()
-
-    def items(self):
-        return self.__dict__.items()
-
-    def values(self):
-        return self.__dict__.values()
-
-    def __len__(self):
-        return len(self.__dict__)
-
-    def __getitem__(self, key):
-        return getattr(self, key)
-
-    def __setitem__(self, key, value):
-        return setattr(self, key, value)
-
-    def __contains__(self, key):
-        return key in self.__dict__
-
-    def __repr__(self):
-        return self.__dict__.__repr__()
diff --git a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_constants.py b/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_constants.py
deleted file mode 100644
index 01d1951f5151f6c6f81b1a6d73ecdc55e9a9ec0f..0000000000000000000000000000000000000000
--- a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_constants.py
+++ /dev/null
@@ -1,807 +0,0 @@
-'''
-This module holds the constants used for specifying the states of the debugger.
-'''
-from __future__ import nested_scopes
-import platform
-import weakref
-import struct
-import warnings
-import functools
-from contextlib import contextmanager
-
-STATE_RUN = 1
-STATE_SUSPEND = 2
-
-PYTHON_SUSPEND = 1
-DJANGO_SUSPEND = 2
-JINJA2_SUSPEND = 3
-
-int_types = (int,)
-
-# types does not include a MethodWrapperType
-try:
-    MethodWrapperType = type([].__str__)
-except:
-    MethodWrapperType = None
-
-import sys  # Note: the sys import must be here anyways (others depend on it)
-
-# Preload codecs to avoid imports to them later on which can potentially halt the debugger.
-import codecs as _codecs
-for _codec in ["ascii", "utf8", "utf-8", "latin1", "latin-1", "idna"]:
-    _codecs.lookup(_codec)
-
-
-class DebugInfoHolder:
-    # we have to put it here because it can be set through the command line (so, the
-    # already imported references would not have it).
-
-    # General information
-    DEBUG_TRACE_LEVEL = 0  # 0 = critical, 1 = info, 2 = debug, 3 = verbose
-
-    PYDEVD_DEBUG_FILE = None
-
-
-# Any filename that starts with these strings is not traced nor shown to the user.
-# In Python 3.7 "<frozen ..." appears multiple times during import and should be ignored for the user.
-# In PyPy "<builtin> ..." can appear and should be ignored for the user.
-# <attrs is used internally by attrs
-# <__array_function__ is used by numpy
-IGNORE_BASENAMES_STARTING_WITH = ('<frozen ', '<builtin', '<attrs', '<__array_function__')
-
-# Note: <string> has special heuristics to know whether it should be traced or not (it's part of
-# user code when it's the <string> used in python -c and part of the library otherwise).
-
-# Any filename that starts with these strings is considered user (project) code. Note
-# that files for which we have a source mapping are also considered as a part of the project.
-USER_CODE_BASENAMES_STARTING_WITH = ('<ipython',)
-
-# Any filename that starts with these strings is considered library code (note: checked after USER_CODE_BASENAMES_STARTING_WITH).
-LIBRARY_CODE_BASENAMES_STARTING_WITH = ('<',)
-
-IS_CPYTHON = platform.python_implementation() == 'CPython'
-
-# Hold a reference to the original _getframe (because psyco will change that as soon as it's imported)
-IS_IRONPYTHON = sys.platform == 'cli'
-try:
-    get_frame = sys._getframe
-    if IS_IRONPYTHON:
-
-        def get_frame():
-            try:
-                return sys._getframe()
-            except ValueError:
-                pass
-
-except AttributeError:
-
-    def get_frame():
-        raise AssertionError('sys._getframe not available (possible causes: enable -X:Frames on IronPython?)')
-
-# Used to determine the maximum size of each variable passed to eclipse -- having a big value here may make
-# the communication slower -- as the variables are being gathered lazily in the latest version of eclipse,
-# this value was raised from 200 to 1000.
-MAXIMUM_VARIABLE_REPRESENTATION_SIZE = 1000
-# Prefix for saving functions return values in locals
-RETURN_VALUES_DICT = '__pydevd_ret_val_dict'
-GENERATED_LEN_ATTR_NAME = 'len()'
-
-import os
-
-from _pydevd_bundle import pydevd_vm_type
-
-# Constant detects when running on Jython/windows properly later on.
-IS_WINDOWS = sys.platform == 'win32'
-IS_LINUX = sys.platform in ('linux', 'linux2')
-IS_MAC = sys.platform == 'darwin'
-IS_WASM = sys.platform == 'emscripten' or sys.platform == 'wasi'
-
-IS_64BIT_PROCESS = sys.maxsize > (2 ** 32)
-
-IS_JYTHON = pydevd_vm_type.get_vm_type() == pydevd_vm_type.PydevdVmType.JYTHON
-
-IS_PYPY = platform.python_implementation() == 'PyPy'
-
-if IS_JYTHON:
-    import java.lang.System  # @UnresolvedImport
-    IS_WINDOWS = java.lang.System.getProperty("os.name").lower().startswith("windows")
-
-USE_CUSTOM_SYS_CURRENT_FRAMES = not hasattr(sys, '_current_frames') or IS_PYPY
-USE_CUSTOM_SYS_CURRENT_FRAMES_MAP = USE_CUSTOM_SYS_CURRENT_FRAMES and (IS_PYPY or IS_IRONPYTHON)
-
-if USE_CUSTOM_SYS_CURRENT_FRAMES:
-
-    # Some versions of Jython don't have it (but we can provide a replacement)
-    if IS_JYTHON:
-        from java.lang import NoSuchFieldException
-        from org.python.core import ThreadStateMapping
-        try:
-            cachedThreadState = ThreadStateMapping.getDeclaredField('globalThreadStates')  # Dev version
-        except NoSuchFieldException:
-            cachedThreadState = ThreadStateMapping.getDeclaredField('cachedThreadState')  # Release Jython 2.7.0
-        cachedThreadState.accessible = True
-        thread_states = cachedThreadState.get(ThreadStateMapping)
-
-        def _current_frames():
-            as_array = thread_states.entrySet().toArray()
-            ret = {}
-            for thread_to_state in as_array:
-                thread = thread_to_state.getKey()
-                if thread is None:
-                    continue
-                thread_state = thread_to_state.getValue()
-                if thread_state is None:
-                    continue
-
-                frame = thread_state.frame
-                if frame is None:
-                    continue
-
-                ret[thread.getId()] = frame
-            return ret
-
-    elif USE_CUSTOM_SYS_CURRENT_FRAMES_MAP:
-        constructed_tid_to_last_frame = {}
-
-        # IronPython doesn't have it. Let's use our workaround...
-        def _current_frames():
-            return constructed_tid_to_last_frame
-
-    else:
-        raise RuntimeError('Unable to proceed (sys._current_frames not available in this Python implementation).')
-else:
-    _current_frames = sys._current_frames
-
-IS_PYTHON_STACKLESS = "stackless" in sys.version.lower()
-CYTHON_SUPPORTED = False
-
-python_implementation = platform.python_implementation()
-if python_implementation == 'CPython':
-    # Only available for CPython!
-    CYTHON_SUPPORTED = True
-
-#=======================================================================================================================
-# Python 3?
-#=======================================================================================================================
-IS_PY36_OR_GREATER = sys.version_info >= (3, 6)
-IS_PY37_OR_GREATER = sys.version_info >= (3, 7)
-IS_PY38_OR_GREATER = sys.version_info >= (3, 8)
-IS_PY39_OR_GREATER = sys.version_info >= (3, 9)
-IS_PY310_OR_GREATER = sys.version_info >= (3, 10)
-IS_PY311_OR_GREATER = sys.version_info >= (3, 11)
-
-
-def version_str(v):
-    return '.'.join((str(x) for x in v[:3])) + ''.join((str(x) for x in v[3:]))
-
-
-PY_VERSION_STR = version_str(sys.version_info)
-try:
-    PY_IMPL_VERSION_STR = version_str(sys.implementation.version)
-except AttributeError:
-    PY_IMPL_VERSION_STR = ''
-
-try:
-    PY_IMPL_NAME = sys.implementation.name
-except AttributeError:
-    PY_IMPL_NAME = ''
-
-ENV_TRUE_LOWER_VALUES = ('yes', 'true', '1')
-ENV_FALSE_LOWER_VALUES = ('no', 'false', '0')
-
-
-def is_true_in_env(env_key):
-    if isinstance(env_key, tuple):
-        # If a tuple, return True if any of those ends up being true.
-        for v in env_key:
-            if is_true_in_env(v):
-                return True
-        return False
-    else:
-        return os.getenv(env_key, '').lower() in ENV_TRUE_LOWER_VALUES
-
-
-def as_float_in_env(env_key, default):
-    value = os.getenv(env_key)
-    if value is None:
-        return default
-    try:
-        return float(value)
-    except Exception:
-        raise RuntimeError(
-            'Error: expected the env variable: %s to be set to a float value. Found: %s' % (
-                env_key, value))
-
-
-def as_int_in_env(env_key, default):
-    value = os.getenv(env_key)
-    if value is None:
-        return default
-    try:
-        return int(value)
-    except Exception:
-        raise RuntimeError(
-            'Error: expected the env variable: %s to be set to a int value. Found: %s' % (
-                env_key, value))
-
-
-# If true in env, use gevent mode.
-SUPPORT_GEVENT = is_true_in_env('GEVENT_SUPPORT')
-
-# Opt-in support to show gevent paused greenlets. False by default because if too many greenlets are
-# paused the UI can slow-down (i.e.: if 1000 greenlets are paused, each one would be shown separate
-# as a different thread, but if the UI isn't optimized for that the experience is lacking...).
-GEVENT_SHOW_PAUSED_GREENLETS = is_true_in_env('GEVENT_SHOW_PAUSED_GREENLETS')
-
-DISABLE_FILE_VALIDATION = is_true_in_env('PYDEVD_DISABLE_FILE_VALIDATION')
-
-GEVENT_SUPPORT_NOT_SET_MSG = os.getenv(
-    'GEVENT_SUPPORT_NOT_SET_MSG',
-    'It seems that the gevent monkey-patching is being used.\n'
-    'Please set an environment variable with:\n'
-    'GEVENT_SUPPORT=True\n'
-    'to enable gevent support in the debugger.'
-)
-
-USE_LIB_COPY = SUPPORT_GEVENT
-
-INTERACTIVE_MODE_AVAILABLE = sys.platform in ('darwin', 'win32') or os.getenv('DISPLAY') is not None
-
-# If true in env, forces cython to be used (raises error if not available).
-# If false in env, disables it.
-# If not specified, uses default heuristic to determine if it should be loaded.
-USE_CYTHON_FLAG = os.getenv('PYDEVD_USE_CYTHON')
-
-if USE_CYTHON_FLAG is not None:
-    USE_CYTHON_FLAG = USE_CYTHON_FLAG.lower()
-    if USE_CYTHON_FLAG not in ENV_TRUE_LOWER_VALUES and USE_CYTHON_FLAG not in ENV_FALSE_LOWER_VALUES:
-        raise RuntimeError('Unexpected value for PYDEVD_USE_CYTHON: %s (enable with one of: %s, disable with one of: %s)' % (
-            USE_CYTHON_FLAG, ENV_TRUE_LOWER_VALUES, ENV_FALSE_LOWER_VALUES))
-
-else:
-    if not CYTHON_SUPPORTED:
-        USE_CYTHON_FLAG = 'no'
-
-# If true in env, forces frame eval to be used (raises error if not available).
-# If false in env, disables it.
-# If not specified, uses default heuristic to determine if it should be loaded.
-PYDEVD_USE_FRAME_EVAL = os.getenv('PYDEVD_USE_FRAME_EVAL', '').lower()
-
-# Values used to determine how much container items will be shown.
-# PYDEVD_CONTAINER_INITIAL_EXPANDED_ITEMS:
-#     - Defines how many items will appear initially expanded after which a 'more...' will appear.
-#
-# PYDEVD_CONTAINER_BUCKET_SIZE
-#    - Defines the size of each bucket inside the 'more...' item
-#        i.e.: a bucket with size == 2 would show items such as:
-#            - [2:4]
-#            - [4:6]
-#            ...
-#
-# PYDEVD_CONTAINER_RANDOM_ACCESS_MAX_ITEMS
-#    - Defines the maximum number of items for dicts and sets.
-#
-PYDEVD_CONTAINER_INITIAL_EXPANDED_ITEMS = as_int_in_env('PYDEVD_CONTAINER_INITIAL_EXPANDED_ITEMS', 100)
-PYDEVD_CONTAINER_BUCKET_SIZE = as_int_in_env('PYDEVD_CONTAINER_BUCKET_SIZE', 1000)
-PYDEVD_CONTAINER_RANDOM_ACCESS_MAX_ITEMS = as_int_in_env('PYDEVD_CONTAINER_RANDOM_ACCESS_MAX_ITEMS', 500)
-PYDEVD_CONTAINER_NUMPY_MAX_ITEMS = as_int_in_env('PYDEVD_CONTAINER_NUMPY_MAX_ITEMS', 500)
-
-PYDEVD_IPYTHON_COMPATIBLE_DEBUGGING = is_true_in_env('PYDEVD_IPYTHON_COMPATIBLE_DEBUGGING')
-
-# If specified in PYDEVD_IPYTHON_CONTEXT it must be a string with the basename
-# and then the name of 2 methods in which the evaluate is done.
-PYDEVD_IPYTHON_CONTEXT = ('interactiveshell.py', 'run_code', 'run_ast_nodes')
-_ipython_ctx = os.getenv('PYDEVD_IPYTHON_CONTEXT')
-if _ipython_ctx:
-    PYDEVD_IPYTHON_CONTEXT = tuple(x.strip() for x in _ipython_ctx.split(','))
-    assert len(PYDEVD_IPYTHON_CONTEXT) == 3, 'Invalid PYDEVD_IPYTHON_CONTEXT: %s' % (_ipython_ctx,)
-
-# Use to disable loading the lib to set tracing to all threads (default is using heuristics based on where we're running).
-LOAD_NATIVE_LIB_FLAG = os.getenv('PYDEVD_LOAD_NATIVE_LIB', '').lower()
-
-LOG_TIME = os.getenv('PYDEVD_LOG_TIME', 'true').lower() in ENV_TRUE_LOWER_VALUES
-
-SHOW_COMPILE_CYTHON_COMMAND_LINE = is_true_in_env('PYDEVD_SHOW_COMPILE_CYTHON_COMMAND_LINE')
-
-LOAD_VALUES_ASYNC = is_true_in_env('PYDEVD_LOAD_VALUES_ASYNC')
-DEFAULT_VALUE = "__pydevd_value_async"
-ASYNC_EVAL_TIMEOUT_SEC = 60
-NEXT_VALUE_SEPARATOR = "__pydev_val__"
-BUILTINS_MODULE_NAME = 'builtins'
-
-# Pandas customization.
-PANDAS_MAX_ROWS = as_int_in_env('PYDEVD_PANDAS_MAX_ROWS', 60)
-PANDAS_MAX_COLS = as_int_in_env('PYDEVD_PANDAS_MAX_COLS', 10)
-PANDAS_MAX_COLWIDTH = as_int_in_env('PYDEVD_PANDAS_MAX_COLWIDTH', 50)
-
-# If getting an attribute or computing some value is too slow, let the user know if the given timeout elapses.
-PYDEVD_WARN_SLOW_RESOLVE_TIMEOUT = as_float_in_env('PYDEVD_WARN_SLOW_RESOLVE_TIMEOUT', 0.50)
-
-# This timeout is used to track the time to send a message saying that the evaluation
-# is taking too long and possible mitigations.
-PYDEVD_WARN_EVALUATION_TIMEOUT = as_float_in_env('PYDEVD_WARN_EVALUATION_TIMEOUT', 3.)
-
-# If True in env shows a thread dump when the evaluation times out.
-PYDEVD_THREAD_DUMP_ON_WARN_EVALUATION_TIMEOUT = is_true_in_env('PYDEVD_THREAD_DUMP_ON_WARN_EVALUATION_TIMEOUT')
-
-# This timeout is used only when the mode that all threads are stopped/resumed at once is used
-# (i.e.: multi_threads_single_notification)
-#
-# In this mode, if some evaluation doesn't finish until this timeout, we notify the user
-# and then resume all threads until the evaluation finishes.
-#
-# A negative value will disable the timeout and a value of 0 will automatically run all threads
-# (without any notification) when the evaluation is started and pause all threads when the
-# evaluation is finished. A positive value will run run all threads after the timeout
-# elapses.
-PYDEVD_UNBLOCK_THREADS_TIMEOUT = as_float_in_env('PYDEVD_UNBLOCK_THREADS_TIMEOUT', -1.)
-
-# Timeout to interrupt a thread (so, if some evaluation doesn't finish until this
-# timeout, the thread doing the evaluation is interrupted).
-# A value <= 0 means this is disabled.
-# See: _pydevd_bundle.pydevd_timeout.create_interrupt_this_thread_callback for details
-# on how the thread interruption works (there are some caveats related to it).
-PYDEVD_INTERRUPT_THREAD_TIMEOUT = as_float_in_env('PYDEVD_INTERRUPT_THREAD_TIMEOUT', -1)
-
-# If PYDEVD_APPLY_PATCHING_TO_HIDE_PYDEVD_THREADS is set to False, the patching to hide pydevd threads won't be applied.
-PYDEVD_APPLY_PATCHING_TO_HIDE_PYDEVD_THREADS = os.getenv('PYDEVD_APPLY_PATCHING_TO_HIDE_PYDEVD_THREADS', 'true').lower() in ENV_TRUE_LOWER_VALUES
-
-EXCEPTION_TYPE_UNHANDLED = 'UNHANDLED'
-EXCEPTION_TYPE_USER_UNHANDLED = 'USER_UNHANDLED'
-EXCEPTION_TYPE_HANDLED = 'HANDLED'
-
-SHOW_DEBUG_INFO_ENV = is_true_in_env(('PYCHARM_DEBUG', 'PYDEV_DEBUG', 'PYDEVD_DEBUG'))
-
-if SHOW_DEBUG_INFO_ENV:
-    # show debug info before the debugger start
-    DebugInfoHolder.DEBUG_TRACE_LEVEL = 3
-
-DebugInfoHolder.PYDEVD_DEBUG_FILE = os.getenv('PYDEVD_DEBUG_FILE')
-
-
-def protect_libraries_from_patching():
-    """
-    In this function we delete some modules from `sys.modules` dictionary and import them again inside
-      `_pydev_saved_modules` in order to save their original copies there. After that we can use these
-      saved modules within the debugger to protect them from patching by external libraries (e.g. gevent).
-    """
-    patched = ['threading', 'thread', '_thread', 'time', 'socket', 'queue', 'select',
-               'xmlrpclib', 'SimpleXMLRPCServer', 'BaseHTTPServer', 'SocketServer',
-               'xmlrpc.client', 'xmlrpc.server', 'http.server', 'socketserver']
-
-    for name in patched:
-        try:
-            __import__(name)
-        except:
-            pass
-
-    patched_modules = dict([(k, v) for k, v in sys.modules.items()
-                            if k in patched])
-
-    for name in patched_modules:
-        del sys.modules[name]
-
-    # import for side effects
-    import _pydev_bundle._pydev_saved_modules
-
-    for name in patched_modules:
-        sys.modules[name] = patched_modules[name]
-
-
-if USE_LIB_COPY:
-    protect_libraries_from_patching()
-
-from _pydev_bundle._pydev_saved_modules import thread, threading
-
-_fork_safe_locks = []
-
-if IS_JYTHON:
-
-    def ForkSafeLock(rlock=False):
-        if rlock:
-            return threading.RLock()
-        else:
-            return threading.Lock()
-
-else:
-
-    class ForkSafeLock(object):
-        '''
-        A lock which is fork-safe (when a fork is done, `pydevd_constants.after_fork()`
-        should be called to reset the locks in the new process to avoid deadlocks
-        from a lock which was locked during the fork).
-
-        Note:
-            Unlike `threading.Lock` this class is not completely atomic, so, doing:
-
-            lock = ForkSafeLock()
-            with lock:
-                ...
-
-            is different than using `threading.Lock` directly because the tracing may
-            find an additional function call on `__enter__` and on `__exit__`, so, it's
-            not recommended to use this in all places, only where the forking may be important
-            (so, for instance, the locks on PyDB should not be changed to this lock because
-            of that -- and those should all be collected in the new process because PyDB itself
-            should be completely cleared anyways).
-
-            It's possible to overcome this limitation by using `ForkSafeLock.acquire` and
-            `ForkSafeLock.release` instead of the context manager (as acquire/release are
-            bound to the original implementation, whereas __enter__/__exit__ is not due to Python
-            limitations).
-        '''
-
-        def __init__(self, rlock=False):
-            self._rlock = rlock
-            self._init()
-            _fork_safe_locks.append(weakref.ref(self))
-
-        def __enter__(self):
-            return self._lock.__enter__()
-
-        def __exit__(self, exc_type, exc_val, exc_tb):
-            return self._lock.__exit__(exc_type, exc_val, exc_tb)
-
-        def _init(self):
-            if self._rlock:
-                self._lock = threading.RLock()
-            else:
-                self._lock = thread.allocate_lock()
-
-            self.acquire = self._lock.acquire
-            self.release = self._lock.release
-            _fork_safe_locks.append(weakref.ref(self))
-
-
-def after_fork():
-    '''
-    Must be called after a fork operation (will reset the ForkSafeLock).
-    '''
-    global _fork_safe_locks
-    locks = _fork_safe_locks[:]
-    _fork_safe_locks = []
-    for lock in locks:
-        lock = lock()
-        if lock is not None:
-            lock._init()
-
-
-_thread_id_lock = ForkSafeLock()
-thread_get_ident = thread.get_ident
-
-
-def as_str(s):
-    assert isinstance(s, str)
-    return s
-
-
-@contextmanager
-def filter_all_warnings():
-    with warnings.catch_warnings():
-        warnings.filterwarnings("ignore")
-        yield
-
-
-def silence_warnings_decorator(func):
-
-    @functools.wraps(func)
-    def new_func(*args, **kwargs):
-        with filter_all_warnings():
-            return func(*args, **kwargs)
-
-    return new_func
-
-
-def sorted_dict_repr(d):
-    s = sorted(d.items(), key=lambda x:str(x[0]))
-    return '{' + ', '.join(('%r: %r' % x) for x in s) + '}'
-
-
-def iter_chars(b):
-    # In Python 2, we can iterate bytes or str with individual characters, but Python 3 onwards
-    # changed that behavior so that when iterating bytes we actually get ints!
-    if isinstance(b, bytes):
-        # i.e.: do something as struct.unpack('3c', b)
-        return iter(struct.unpack(str(len(b)) + 'c', b))
-    return iter(b)
-
-
-if IS_JYTHON:
-
-    def NO_FTRACE(frame, event, arg):
-        return None
-
-else:
-    _curr_trace = sys.gettrace()
-
-    # Set a temporary trace which does nothing for us to test (otherwise setting frame.f_trace has no
-    # effect).
-    def _temp_trace(frame, event, arg):
-        return None
-
-    sys.settrace(_temp_trace)
-
-    def _check_ftrace_set_none():
-        '''
-        Will throw an error when executing a line event
-        '''
-        sys._getframe().f_trace = None
-        _line_event = 1
-        _line_event = 2
-
-    try:
-        _check_ftrace_set_none()
-
-        def NO_FTRACE(frame, event, arg):
-            frame.f_trace = None
-            return None
-
-    except TypeError:
-
-        def NO_FTRACE(frame, event, arg):
-            # In Python <= 2.6 and <= 3.4, if we're tracing a method, frame.f_trace may not be set
-            # to None, it must always be set to a tracing function.
-            # See: tests_python.test_tracing_gotchas.test_tracing_gotchas
-            #
-            # Note: Python 2.7 sometimes works and sometimes it doesn't depending on the minor
-            # version because of https://bugs.python.org/issue20041 (although bug reports didn't
-            # include the minor version, so, mark for any Python 2.7 as I'm not completely sure
-            # the fix in later 2.7 versions is the same one we're dealing with).
-            return None
-
-    sys.settrace(_curr_trace)
-
-
-#=======================================================================================================================
-# get_pid
-#=======================================================================================================================
-def get_pid():
-    try:
-        return os.getpid()
-    except AttributeError:
-        try:
-            # Jython does not have it!
-            import java.lang.management.ManagementFactory  # @UnresolvedImport -- just for jython
-            pid = java.lang.management.ManagementFactory.getRuntimeMXBean().getName()
-            return pid.replace('@', '_')
-        except:
-            # ok, no pid available (will be unable to debug multiple processes)
-            return '000001'
-
-
-def clear_cached_thread_id(thread):
-    with _thread_id_lock:
-        try:
-            if thread.__pydevd_id__ != 'console_main':
-                # The console_main is a special thread id used in the console and its id should never be reset
-                # (otherwise we may no longer be able to get its variables -- see: https://www.brainwy.com/tracker/PyDev/776).
-                del thread.__pydevd_id__
-        except AttributeError:
-            pass
-
-
-# Don't let threads be collected (so that id(thread) is guaranteed to be unique).
-_thread_id_to_thread_found = {}
-
-
-def _get_or_compute_thread_id_with_lock(thread, is_current_thread):
-    with _thread_id_lock:
-        # We do a new check with the lock in place just to be sure that nothing changed
-        tid = getattr(thread, '__pydevd_id__', None)
-        if tid is not None:
-            return tid
-
-        _thread_id_to_thread_found[id(thread)] = thread
-
-        # Note: don't use thread.ident because a new thread may have the
-        # same id from an old thread.
-        pid = get_pid()
-        tid = 'pid_%s_id_%s' % (pid, id(thread))
-
-        thread.__pydevd_id__ = tid
-
-    return tid
-
-
-def get_current_thread_id(thread):
-    '''
-    Note: the difference from get_current_thread_id to get_thread_id is that
-    for the current thread we can get the thread id while the thread.ident
-    is still not set in the Thread instance.
-    '''
-    try:
-        # Fast path without getting lock.
-        tid = thread.__pydevd_id__
-        if tid is None:
-            # Fix for https://www.brainwy.com/tracker/PyDev/645
-            # if __pydevd_id__ is None, recalculate it... also, use an heuristic
-            # that gives us always the same id for the thread (using thread.ident or id(thread)).
-            raise AttributeError()
-    except AttributeError:
-        tid = _get_or_compute_thread_id_with_lock(thread, is_current_thread=True)
-
-    return tid
-
-
-def get_thread_id(thread):
-    try:
-        # Fast path without getting lock.
-        tid = thread.__pydevd_id__
-        if tid is None:
-            # Fix for https://www.brainwy.com/tracker/PyDev/645
-            # if __pydevd_id__ is None, recalculate it... also, use an heuristic
-            # that gives us always the same id for the thread (using thread.ident or id(thread)).
-            raise AttributeError()
-    except AttributeError:
-        tid = _get_or_compute_thread_id_with_lock(thread, is_current_thread=False)
-
-    return tid
-
-
-def set_thread_id(thread, thread_id):
-    with _thread_id_lock:
-        thread.__pydevd_id__ = thread_id
-
-
-#=======================================================================================================================
-# Null
-#=======================================================================================================================
-class Null:
-    """
-    Gotten from: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/68205
-    """
-
-    def __init__(self, *args, **kwargs):
-        return None
-
-    def __call__(self, *args, **kwargs):
-        return self
-
-    def __enter__(self, *args, **kwargs):
-        return self
-
-    def __exit__(self, *args, **kwargs):
-        return self
-
-    def __getattr__(self, mname):
-        if len(mname) > 4 and mname[:2] == '__' and mname[-2:] == '__':
-            # Don't pretend to implement special method names.
-            raise AttributeError(mname)
-        return self
-
-    def __setattr__(self, name, value):
-        return self
-
-    def __delattr__(self, name):
-        return self
-
-    def __repr__(self):
-        return "<Null>"
-
-    def __str__(self):
-        return "Null"
-
-    def __len__(self):
-        return 0
-
-    def __getitem__(self):
-        return self
-
-    def __setitem__(self, *args, **kwargs):
-        pass
-
-    def write(self, *args, **kwargs):
-        pass
-
-    def __nonzero__(self):
-        return 0
-
-    def __iter__(self):
-        return iter(())
-
-
-# Default instance
-NULL = Null()
-
-
-class KeyifyList(object):
-
-    def __init__(self, inner, key):
-        self.inner = inner
-        self.key = key
-
-    def __len__(self):
-        return len(self.inner)
-
-    def __getitem__(self, k):
-        return self.key(self.inner[k])
-
-
-def call_only_once(func):
-    '''
-    To be used as a decorator
-
-    @call_only_once
-    def func():
-        print 'Calling func only this time'
-
-    Actually, in PyDev it must be called as:
-
-    func = call_only_once(func) to support older versions of Python.
-    '''
-
-    def new_func(*args, **kwargs):
-        if not new_func._called:
-            new_func._called = True
-            return func(*args, **kwargs)
-
-    new_func._called = False
-    return new_func
-
-
-# Protocol where each line is a new message (text is quoted to prevent new lines).
-# payload is xml
-QUOTED_LINE_PROTOCOL = 'quoted-line'
-ARGUMENT_QUOTED_LINE_PROTOCOL = 'protocol-quoted-line'
-
-# Uses http protocol to provide a new message.
-# i.e.: Content-Length:xxx\r\n\r\npayload
-# payload is xml
-HTTP_PROTOCOL = 'http'
-ARGUMENT_HTTP_PROTOCOL = 'protocol-http'
-
-# Message is sent without any header.
-# payload is json
-JSON_PROTOCOL = 'json'
-ARGUMENT_JSON_PROTOCOL = 'json-dap'
-
-# Same header as the HTTP_PROTOCOL
-# payload is json
-HTTP_JSON_PROTOCOL = 'http_json'
-ARGUMENT_HTTP_JSON_PROTOCOL = 'json-dap-http'
-
-ARGUMENT_PPID = 'ppid'
-
-
-class _GlobalSettings:
-    protocol = QUOTED_LINE_PROTOCOL
-
-
-def set_protocol(protocol):
-    expected = (HTTP_PROTOCOL, QUOTED_LINE_PROTOCOL, JSON_PROTOCOL, HTTP_JSON_PROTOCOL)
-    assert protocol in expected, 'Protocol (%s) should be one of: %s' % (
-        protocol, expected)
-
-    _GlobalSettings.protocol = protocol
-
-
-def get_protocol():
-    return _GlobalSettings.protocol
-
-
-def is_json_protocol():
-    return _GlobalSettings.protocol in (JSON_PROTOCOL, HTTP_JSON_PROTOCOL)
-
-
-class GlobalDebuggerHolder:
-    '''
-        Holder for the global debugger.
-    '''
-    global_dbg = None  # Note: don't rename (the name is used in our attach to process)
-
-
-def get_global_debugger():
-    return GlobalDebuggerHolder.global_dbg
-
-
-GetGlobalDebugger = get_global_debugger  # Backward-compatibility
-
-
-def set_global_debugger(dbg):
-    GlobalDebuggerHolder.global_dbg = dbg
-
-
-if __name__ == '__main__':
-    if Null():
-        sys.stdout.write('here\n')
-
diff --git a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/docarray/utils/reduce.py b/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/docarray/utils/reduce.py
deleted file mode 100644
index f615b9aeaeb201454ac1fa12cc0b401ac83bed7c..0000000000000000000000000000000000000000
--- a/spaces/SungBeom/chatwine-korean/.venv/Lib/site-packages/docarray/utils/reduce.py
+++ /dev/null
@@ -1,72 +0,0 @@
-__all__ = ['reduce', 'reduce_all']
-
-from typing import Dict, List, Optional
-
-from docarray import DocList
-
-
-def reduce(
-    left: DocList, right: DocList, left_id_map: Optional[Dict] = None
-) -> 'DocList':
-    """
-    Reduces left and right DocList into one DocList in-place.
-    Changes are applied to the left DocList.
-    Reducing 2 DocLists consists in adding Documents in the second DocList
-    to the first DocList if they do not exist.
-    If a Document exists in both DocLists (identified by ID),
-    the data properties are merged with priority to the left Document.
-
-    Nested DocLists are also reduced in the same way.
-    :param left: First DocList to be reduced. Changes will be applied to it
-    in-place
-    :param right: Second DocList to be reduced
-    :param left_id_map: Optional parameter to be passed in repeated calls
-    for optimizations, keeping a map of the Document ID to its offset
-    in the DocList
-    :return: Reduced DocList
-    """
-    left_id_map = left_id_map or {doc.id: i for i, doc in enumerate(left)}
-
-    for doc in right:
-        if doc.id in left_id_map:
-            left[left_id_map[doc.id]].update(doc)
-        else:
-            left.append(doc)
-
-    return left
-
-
-def reduce_all(docs: List[DocList]) -> DocList:
-    """
-    Reduces a list of DocLists into one DocList.
-    Changes are applied to the first DocList in-place.
-
-    The resulting DocList contains Documents of all DocLists.
-    If a Document exists (identified by their ID) in many DocLists,
-    data properties are merged with priority to the left-most
-    DocLists (that is, if a data attribute is set in a Document
-    belonging to many DocLists, the attribute value of the left-most
-     DocList is kept).
-    Nested DocLists belonging to many DocLists
-     are also reduced in the same way.
-
-    !!! note
-
-        - Nested DocLists order does not follow any specific rule.
-        You might want to re-sort them in a later step.
-        - The final result depends on the order of DocLists
-        when applying reduction.
-
-    :param docs: List of DocLists to be reduced
-    :return: the resulting DocList
-    """
-    if len(docs) <= 1:
-        raise Exception(
-            'In order to reduce DocLists' ' we should have more than one DocList'
-        )
-    left = docs[0]
-    others = docs[1:]
-    left_id_map = {doc.id: i for i, doc in enumerate(left)}
-    for other_docs in others:
-        reduce(left, other_docs, left_id_map)
-    return left
diff --git a/spaces/Supedsa/rvc-models/lib/infer_pack/modules/F0Predictor/F0Predictor.py b/spaces/Supedsa/rvc-models/lib/infer_pack/modules/F0Predictor/F0Predictor.py
deleted file mode 100644
index f56e49e7f0e6eab3babf0711cae2933371b9f9cc..0000000000000000000000000000000000000000
--- a/spaces/Supedsa/rvc-models/lib/infer_pack/modules/F0Predictor/F0Predictor.py
+++ /dev/null
@@ -1,16 +0,0 @@
-class F0Predictor(object):
-    def compute_f0(self, wav, p_len):
-        """
-        input: wav:[signal_length]
-               p_len:int
-        output: f0:[signal_length//hop_length]
-        """
-        pass
-
-    def compute_f0_uv(self, wav, p_len):
-        """
-        input: wav:[signal_length]
-               p_len:int
-        output: f0:[signal_length//hop_length],uv:[signal_length//hop_length]
-        """
-        pass
diff --git a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/cnn/utils/__init__.py b/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/cnn/utils/__init__.py
deleted file mode 100644
index a263e31c1e3977712827ca229bbc04910b4e928e..0000000000000000000000000000000000000000
--- a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/cnn/utils/__init__.py
+++ /dev/null
@@ -1,19 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-from .flops_counter import get_model_complexity_info
-from .fuse_conv_bn import fuse_conv_bn
-from .sync_bn import revert_sync_batchnorm
-from .weight_init import (INITIALIZERS, Caffe2XavierInit, ConstantInit,
-                          KaimingInit, NormalInit, PretrainedInit,
-                          TruncNormalInit, UniformInit, XavierInit,
-                          bias_init_with_prob, caffe2_xavier_init,
-                          constant_init, initialize, kaiming_init, normal_init,
-                          trunc_normal_init, uniform_init, xavier_init)
-
-__all__ = [
-    'get_model_complexity_info', 'bias_init_with_prob', 'caffe2_xavier_init',
-    'constant_init', 'kaiming_init', 'normal_init', 'trunc_normal_init',
-    'uniform_init', 'xavier_init', 'fuse_conv_bn', 'initialize',
-    'INITIALIZERS', 'ConstantInit', 'XavierInit', 'NormalInit',
-    'TruncNormalInit', 'UniformInit', 'KaimingInit', 'PretrainedInit',
-    'Caffe2XavierInit', 'revert_sync_batchnorm'
-]
diff --git a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/ops/deform_roi_pool.py b/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/ops/deform_roi_pool.py
deleted file mode 100644
index cc245ba91fee252226ba22e76bb94a35db9a629b..0000000000000000000000000000000000000000
--- a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/ops/deform_roi_pool.py
+++ /dev/null
@@ -1,204 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-from torch import nn
-from torch.autograd import Function
-from torch.autograd.function import once_differentiable
-from torch.nn.modules.utils import _pair
-
-from ..utils import ext_loader
-
-ext_module = ext_loader.load_ext(
-    '_ext', ['deform_roi_pool_forward', 'deform_roi_pool_backward'])
-
-
-class DeformRoIPoolFunction(Function):
-
-    @staticmethod
-    def symbolic(g, input, rois, offset, output_size, spatial_scale,
-                 sampling_ratio, gamma):
-        return g.op(
-            'mmcv::MMCVDeformRoIPool',
-            input,
-            rois,
-            offset,
-            pooled_height_i=output_size[0],
-            pooled_width_i=output_size[1],
-            spatial_scale_f=spatial_scale,
-            sampling_ratio_f=sampling_ratio,
-            gamma_f=gamma)
-
-    @staticmethod
-    def forward(ctx,
-                input,
-                rois,
-                offset,
-                output_size,
-                spatial_scale=1.0,
-                sampling_ratio=0,
-                gamma=0.1):
-        if offset is None:
-            offset = input.new_zeros(0)
-        ctx.output_size = _pair(output_size)
-        ctx.spatial_scale = float(spatial_scale)
-        ctx.sampling_ratio = int(sampling_ratio)
-        ctx.gamma = float(gamma)
-
-        assert rois.size(1) == 5, 'RoI must be (idx, x1, y1, x2, y2)!'
-
-        output_shape = (rois.size(0), input.size(1), ctx.output_size[0],
-                        ctx.output_size[1])
-        output = input.new_zeros(output_shape)
-
-        ext_module.deform_roi_pool_forward(
-            input,
-            rois,
-            offset,
-            output,
-            pooled_height=ctx.output_size[0],
-            pooled_width=ctx.output_size[1],
-            spatial_scale=ctx.spatial_scale,
-            sampling_ratio=ctx.sampling_ratio,
-            gamma=ctx.gamma)
-
-        ctx.save_for_backward(input, rois, offset)
-        return output
-
-    @staticmethod
-    @once_differentiable
-    def backward(ctx, grad_output):
-        input, rois, offset = ctx.saved_tensors
-        grad_input = grad_output.new_zeros(input.shape)
-        grad_offset = grad_output.new_zeros(offset.shape)
-
-        ext_module.deform_roi_pool_backward(
-            grad_output,
-            input,
-            rois,
-            offset,
-            grad_input,
-            grad_offset,
-            pooled_height=ctx.output_size[0],
-            pooled_width=ctx.output_size[1],
-            spatial_scale=ctx.spatial_scale,
-            sampling_ratio=ctx.sampling_ratio,
-            gamma=ctx.gamma)
-        if grad_offset.numel() == 0:
-            grad_offset = None
-        return grad_input, None, grad_offset, None, None, None, None
-
-
-deform_roi_pool = DeformRoIPoolFunction.apply
-
-
-class DeformRoIPool(nn.Module):
-
-    def __init__(self,
-                 output_size,
-                 spatial_scale=1.0,
-                 sampling_ratio=0,
-                 gamma=0.1):
-        super(DeformRoIPool, self).__init__()
-        self.output_size = _pair(output_size)
-        self.spatial_scale = float(spatial_scale)
-        self.sampling_ratio = int(sampling_ratio)
-        self.gamma = float(gamma)
-
-    def forward(self, input, rois, offset=None):
-        return deform_roi_pool(input, rois, offset, self.output_size,
-                               self.spatial_scale, self.sampling_ratio,
-                               self.gamma)
-
-
-class DeformRoIPoolPack(DeformRoIPool):
-
-    def __init__(self,
-                 output_size,
-                 output_channels,
-                 deform_fc_channels=1024,
-                 spatial_scale=1.0,
-                 sampling_ratio=0,
-                 gamma=0.1):
-        super(DeformRoIPoolPack, self).__init__(output_size, spatial_scale,
-                                                sampling_ratio, gamma)
-
-        self.output_channels = output_channels
-        self.deform_fc_channels = deform_fc_channels
-
-        self.offset_fc = nn.Sequential(
-            nn.Linear(
-                self.output_size[0] * self.output_size[1] *
-                self.output_channels, self.deform_fc_channels),
-            nn.ReLU(inplace=True),
-            nn.Linear(self.deform_fc_channels, self.deform_fc_channels),
-            nn.ReLU(inplace=True),
-            nn.Linear(self.deform_fc_channels,
-                      self.output_size[0] * self.output_size[1] * 2))
-        self.offset_fc[-1].weight.data.zero_()
-        self.offset_fc[-1].bias.data.zero_()
-
-    def forward(self, input, rois):
-        assert input.size(1) == self.output_channels
-        x = deform_roi_pool(input, rois, None, self.output_size,
-                            self.spatial_scale, self.sampling_ratio,
-                            self.gamma)
-        rois_num = rois.size(0)
-        offset = self.offset_fc(x.view(rois_num, -1))
-        offset = offset.view(rois_num, 2, self.output_size[0],
-                             self.output_size[1])
-        return deform_roi_pool(input, rois, offset, self.output_size,
-                               self.spatial_scale, self.sampling_ratio,
-                               self.gamma)
-
-
-class ModulatedDeformRoIPoolPack(DeformRoIPool):
-
-    def __init__(self,
-                 output_size,
-                 output_channels,
-                 deform_fc_channels=1024,
-                 spatial_scale=1.0,
-                 sampling_ratio=0,
-                 gamma=0.1):
-        super(ModulatedDeformRoIPoolPack,
-              self).__init__(output_size, spatial_scale, sampling_ratio, gamma)
-
-        self.output_channels = output_channels
-        self.deform_fc_channels = deform_fc_channels
-
-        self.offset_fc = nn.Sequential(
-            nn.Linear(
-                self.output_size[0] * self.output_size[1] *
-                self.output_channels, self.deform_fc_channels),
-            nn.ReLU(inplace=True),
-            nn.Linear(self.deform_fc_channels, self.deform_fc_channels),
-            nn.ReLU(inplace=True),
-            nn.Linear(self.deform_fc_channels,
-                      self.output_size[0] * self.output_size[1] * 2))
-        self.offset_fc[-1].weight.data.zero_()
-        self.offset_fc[-1].bias.data.zero_()
-
-        self.mask_fc = nn.Sequential(
-            nn.Linear(
-                self.output_size[0] * self.output_size[1] *
-                self.output_channels, self.deform_fc_channels),
-            nn.ReLU(inplace=True),
-            nn.Linear(self.deform_fc_channels,
-                      self.output_size[0] * self.output_size[1] * 1),
-            nn.Sigmoid())
-        self.mask_fc[2].weight.data.zero_()
-        self.mask_fc[2].bias.data.zero_()
-
-    def forward(self, input, rois):
-        assert input.size(1) == self.output_channels
-        x = deform_roi_pool(input, rois, None, self.output_size,
-                            self.spatial_scale, self.sampling_ratio,
-                            self.gamma)
-        rois_num = rois.size(0)
-        offset = self.offset_fc(x.view(rois_num, -1))
-        offset = offset.view(rois_num, 2, self.output_size[0],
-                             self.output_size[1])
-        mask = self.mask_fc(x.view(rois_num, -1))
-        mask = mask.view(rois_num, 1, self.output_size[0], self.output_size[1])
-        d = deform_roi_pool(input, rois, offset, self.output_size,
-                            self.spatial_scale, self.sampling_ratio,
-                            self.gamma)
-        return d * mask
diff --git a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/ops/points_in_boxes.py b/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/ops/points_in_boxes.py
deleted file mode 100644
index 4003173a53052161dbcd687a2fa1d755642fdab8..0000000000000000000000000000000000000000
--- a/spaces/Superlang/ImageProcessor/annotator/uniformer/mmcv/ops/points_in_boxes.py
+++ /dev/null
@@ -1,133 +0,0 @@
-import torch
-
-from ..utils import ext_loader
-
-ext_module = ext_loader.load_ext('_ext', [
-    'points_in_boxes_part_forward', 'points_in_boxes_cpu_forward',
-    'points_in_boxes_all_forward'
-])
-
-
-def points_in_boxes_part(points, boxes):
-    """Find the box in which each point is (CUDA).
-
-    Args:
-        points (torch.Tensor): [B, M, 3], [x, y, z] in LiDAR/DEPTH coordinate
-        boxes (torch.Tensor): [B, T, 7],
-            num_valid_boxes <= T, [x, y, z, x_size, y_size, z_size, rz] in
-            LiDAR/DEPTH coordinate, (x, y, z) is the bottom center
-
-    Returns:
-        box_idxs_of_pts (torch.Tensor): (B, M), default background = -1
-    """
-    assert points.shape[0] == boxes.shape[0], \
-        'Points and boxes should have the same batch size, ' \
-        f'but got {points.shape[0]} and {boxes.shape[0]}'
-    assert boxes.shape[2] == 7, \
-        'boxes dimension should be 7, ' \
-        f'but got unexpected shape {boxes.shape[2]}'
-    assert points.shape[2] == 3, \
-        'points dimension should be 3, ' \
-        f'but got unexpected shape {points.shape[2]}'
-    batch_size, num_points, _ = points.shape
-
-    box_idxs_of_pts = points.new_zeros((batch_size, num_points),
-                                       dtype=torch.int).fill_(-1)
-
-    # If manually put the tensor 'points' or 'boxes' on a device
-    # which is not the current device, some temporary variables
-    # will be created on the current device in the cuda op,
-    # and the output will be incorrect.
-    # Therefore, we force the current device to be the same
-    # as the device of the tensors if it was not.
-    # Please refer to https://github.com/open-mmlab/mmdetection3d/issues/305
-    # for the incorrect output before the fix.
-    points_device = points.get_device()
-    assert points_device == boxes.get_device(), \
-        'Points and boxes should be put on the same device'
-    if torch.cuda.current_device() != points_device:
-        torch.cuda.set_device(points_device)
-
-    ext_module.points_in_boxes_part_forward(boxes.contiguous(),
-                                            points.contiguous(),
-                                            box_idxs_of_pts)
-
-    return box_idxs_of_pts
-
-
-def points_in_boxes_cpu(points, boxes):
-    """Find all boxes in which each point is (CPU). The CPU version of
-    :meth:`points_in_boxes_all`.
-
-    Args:
-        points (torch.Tensor): [B, M, 3], [x, y, z] in
-            LiDAR/DEPTH coordinate
-        boxes (torch.Tensor): [B, T, 7],
-            num_valid_boxes <= T, [x, y, z, x_size, y_size, z_size, rz],
-            (x, y, z) is the bottom center.
-
-    Returns:
-        box_idxs_of_pts (torch.Tensor): (B, M, T), default background = 0.
-    """
-    assert points.shape[0] == boxes.shape[0], \
-        'Points and boxes should have the same batch size, ' \
-        f'but got {points.shape[0]} and {boxes.shape[0]}'
-    assert boxes.shape[2] == 7, \
-        'boxes dimension should be 7, ' \
-        f'but got unexpected shape {boxes.shape[2]}'
-    assert points.shape[2] == 3, \
-        'points dimension should be 3, ' \
-        f'but got unexpected shape {points.shape[2]}'
-    batch_size, num_points, _ = points.shape
-    num_boxes = boxes.shape[1]
-
-    point_indices = points.new_zeros((batch_size, num_boxes, num_points),
-                                     dtype=torch.int)
-    for b in range(batch_size):
-        ext_module.points_in_boxes_cpu_forward(boxes[b].float().contiguous(),
-                                               points[b].float().contiguous(),
-                                               point_indices[b])
-    point_indices = point_indices.transpose(1, 2)
-
-    return point_indices
-
-
-def points_in_boxes_all(points, boxes):
-    """Find all boxes in which each point is (CUDA).
-
-    Args:
-        points (torch.Tensor): [B, M, 3], [x, y, z] in LiDAR/DEPTH coordinate
-        boxes (torch.Tensor): [B, T, 7],
-            num_valid_boxes <= T, [x, y, z, x_size, y_size, z_size, rz],
-            (x, y, z) is the bottom center.
-
-    Returns:
-        box_idxs_of_pts (torch.Tensor): (B, M, T), default background = 0.
-    """
-    assert boxes.shape[0] == points.shape[0], \
-        'Points and boxes should have the same batch size, ' \
-        f'but got {boxes.shape[0]} and {boxes.shape[0]}'
-    assert boxes.shape[2] == 7, \
-        'boxes dimension should be 7, ' \
-        f'but got unexpected shape {boxes.shape[2]}'
-    assert points.shape[2] == 3, \
-        'points dimension should be 3, ' \
-        f'but got unexpected shape {points.shape[2]}'
-    batch_size, num_points, _ = points.shape
-    num_boxes = boxes.shape[1]
-
-    box_idxs_of_pts = points.new_zeros((batch_size, num_points, num_boxes),
-                                       dtype=torch.int).fill_(0)
-
-    # Same reason as line 25-32
-    points_device = points.get_device()
-    assert points_device == boxes.get_device(), \
-        'Points and boxes should be put on the same device'
-    if torch.cuda.current_device() != points_device:
-        torch.cuda.set_device(points_device)
-
-    ext_module.points_in_boxes_all_forward(boxes.contiguous(),
-                                           points.contiguous(),
-                                           box_idxs_of_pts)
-
-    return box_idxs_of_pts
diff --git a/spaces/TEnngal/bingo/src/lib/hooks/use-copy-to-clipboard.tsx b/spaces/TEnngal/bingo/src/lib/hooks/use-copy-to-clipboard.tsx
deleted file mode 100644
index 62f7156dca246c46b213151af003a3a177977ccf..0000000000000000000000000000000000000000
--- a/spaces/TEnngal/bingo/src/lib/hooks/use-copy-to-clipboard.tsx
+++ /dev/null
@@ -1,33 +0,0 @@
-'use client'
-
-import * as React from 'react'
-
-export interface useCopyToClipboardProps {
-  timeout?: number
-}
-
-export function useCopyToClipboard({
-  timeout = 2000
-}: useCopyToClipboardProps) {
-  const [isCopied, setIsCopied] = React.useState<Boolean>(false)
-
-  const copyToClipboard = (value: string) => {
-    if (typeof window === 'undefined' || !navigator.clipboard?.writeText) {
-      return
-    }
-
-    if (!value) {
-      return
-    }
-
-    navigator.clipboard.writeText(value).then(() => {
-      setIsCopied(true)
-
-      setTimeout(() => {
-        setIsCopied(false)
-      }, timeout)
-    })
-  }
-
-  return { isCopied, copyToClipboard }
-}
diff --git a/spaces/TandCAcceptMe/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_vendor/packaging/_tokenizer.py b/spaces/TandCAcceptMe/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_vendor/packaging/_tokenizer.py
deleted file mode 100644
index dd0d648d49a7c1a62d25ce5c9107aa448a8a22d1..0000000000000000000000000000000000000000
--- a/spaces/TandCAcceptMe/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_vendor/packaging/_tokenizer.py
+++ /dev/null
@@ -1,192 +0,0 @@
-import contextlib
-import re
-from dataclasses import dataclass
-from typing import Dict, Iterator, NoReturn, Optional, Tuple, Union
-
-from .specifiers import Specifier
-
-
-@dataclass
-class Token:
-    name: str
-    text: str
-    position: int
-
-
-class ParserSyntaxError(Exception):
-    """The provided source text could not be parsed correctly."""
-
-    def __init__(
-        self,
-        message: str,
-        *,
-        source: str,
-        span: Tuple[int, int],
-    ) -> None:
-        self.span = span
-        self.message = message
-        self.source = source
-
-        super().__init__()
-
-    def __str__(self) -> str:
-        marker = " " * self.span[0] + "~" * (self.span[1] - self.span[0]) + "^"
-        return "\n    ".join([self.message, self.source, marker])
-
-
-DEFAULT_RULES: "Dict[str, Union[str, re.Pattern[str]]]" = {
-    "LEFT_PARENTHESIS": r"\(",
-    "RIGHT_PARENTHESIS": r"\)",
-    "LEFT_BRACKET": r"\[",
-    "RIGHT_BRACKET": r"\]",
-    "SEMICOLON": r";",
-    "COMMA": r",",
-    "QUOTED_STRING": re.compile(
-        r"""
-            (
-                ('[^']*')
-                |
-                ("[^"]*")
-            )
-        """,
-        re.VERBOSE,
-    ),
-    "OP": r"(===|==|~=|!=|<=|>=|<|>)",
-    "BOOLOP": r"\b(or|and)\b",
-    "IN": r"\bin\b",
-    "NOT": r"\bnot\b",
-    "VARIABLE": re.compile(
-        r"""
-            \b(
-                python_version
-                |python_full_version
-                |os[._]name
-                |sys[._]platform
-                |platform_(release|system)
-                |platform[._](version|machine|python_implementation)
-                |python_implementation
-                |implementation_(name|version)
-                |extra
-            )\b
-        """,
-        re.VERBOSE,
-    ),
-    "SPECIFIER": re.compile(
-        Specifier._operator_regex_str + Specifier._version_regex_str,
-        re.VERBOSE | re.IGNORECASE,
-    ),
-    "AT": r"\@",
-    "URL": r"[^ \t]+",
-    "IDENTIFIER": r"\b[a-zA-Z0-9][a-zA-Z0-9._-]*\b",
-    "VERSION_PREFIX_TRAIL": r"\.\*",
-    "VERSION_LOCAL_LABEL_TRAIL": r"\+[a-z0-9]+(?:[-_\.][a-z0-9]+)*",
-    "WS": r"[ \t]+",
-    "END": r"$",
-}
-
-
-class Tokenizer:
-    """Context-sensitive token parsing.
-
-    Provides methods to examine the input stream to check whether the next token
-    matches.
-    """
-
-    def __init__(
-        self,
-        source: str,
-        *,
-        rules: "Dict[str, Union[str, re.Pattern[str]]]",
-    ) -> None:
-        self.source = source
-        self.rules: Dict[str, re.Pattern[str]] = {
-            name: re.compile(pattern) for name, pattern in rules.items()
-        }
-        self.next_token: Optional[Token] = None
-        self.position = 0
-
-    def consume(self, name: str) -> None:
-        """Move beyond provided token name, if at current position."""
-        if self.check(name):
-            self.read()
-
-    def check(self, name: str, *, peek: bool = False) -> bool:
-        """Check whether the next token has the provided name.
-
-        By default, if the check succeeds, the token *must* be read before
-        another check. If `peek` is set to `True`, the token is not loaded and
-        would need to be checked again.
-        """
-        assert (
-            self.next_token is None
-        ), f"Cannot check for {name!r}, already have {self.next_token!r}"
-        assert name in self.rules, f"Unknown token name: {name!r}"
-
-        expression = self.rules[name]
-
-        match = expression.match(self.source, self.position)
-        if match is None:
-            return False
-        if not peek:
-            self.next_token = Token(name, match[0], self.position)
-        return True
-
-    def expect(self, name: str, *, expected: str) -> Token:
-        """Expect a certain token name next, failing with a syntax error otherwise.
-
-        The token is *not* read.
-        """
-        if not self.check(name):
-            raise self.raise_syntax_error(f"Expected {expected}")
-        return self.read()
-
-    def read(self) -> Token:
-        """Consume the next token and return it."""
-        token = self.next_token
-        assert token is not None
-
-        self.position += len(token.text)
-        self.next_token = None
-
-        return token
-
-    def raise_syntax_error(
-        self,
-        message: str,
-        *,
-        span_start: Optional[int] = None,
-        span_end: Optional[int] = None,
-    ) -> NoReturn:
-        """Raise ParserSyntaxError at the given position."""
-        span = (
-            self.position if span_start is None else span_start,
-            self.position if span_end is None else span_end,
-        )
-        raise ParserSyntaxError(
-            message,
-            source=self.source,
-            span=span,
-        )
-
-    @contextlib.contextmanager
-    def enclosing_tokens(
-        self, open_token: str, close_token: str, *, around: str
-    ) -> Iterator[None]:
-        if self.check(open_token):
-            open_position = self.position
-            self.read()
-        else:
-            open_position = None
-
-        yield
-
-        if open_position is None:
-            return
-
-        if not self.check(close_token):
-            self.raise_syntax_error(
-                f"Expected matching {close_token} for {open_token}, after {around}",
-                span_start=open_position,
-            )
-
-        self.read()
diff --git a/spaces/ThirdEyeData/ChangePointDetection/app.py b/spaces/ThirdEyeData/ChangePointDetection/app.py
deleted file mode 100644
index ed553f7079a1dcbd37b7454f75a3beed9ea1316e..0000000000000000000000000000000000000000
--- a/spaces/ThirdEyeData/ChangePointDetection/app.py
+++ /dev/null
@@ -1,177 +0,0 @@
-
-import numpy as np
-import matplotlib.pylab as plt
-import ruptures as rpt
-import streamlit as st
-from ruptures.metrics import precision_recall
-from ruptures.metrics import hausdorff
-from ruptures.metrics import randindex
-
-
-st.title("Change Point Detection")
-# Generating Signal
-
-def pw_constant_input(n,dim,n_bkps,sigma):
-    """Piecewise constant (pw_constant)"""
-    # n, dim  # number of samples, dimension
-    # n_bkps, sigma # number of change points, noise standard deviation
-    signal, bkps = rpt.pw_constant(n, dim, n_bkps, noise_std=sigma)
-    rpt.display(signal, bkps)
-    return signal,bkps
-
-def pw_linear_input(n,dim,n_bkps,sigma):
-    """Piecewise Linear"""
-    # creation of data
-    # n, dim = 500, 3  # number of samples, dimension of the covariates
-    # n_bkps, sigma = 3, 5  # number of change points, noise standart deviation
-    signal, bkps = rpt.pw_linear(n, dim, n_bkps, noise_std=sigma)
-    rpt.display(signal, bkps)
-    return signal,bkps
-
-def pw_normal_input(n,dim,n_bkps,sigma):
-    """Piecewise 2D Gaussian process (pw_normal)#"""
-    # creation of data
-    #n = 500  # number of samples
-    #n_bkps = 3  # number of change points
-    signal, bkps = rpt.pw_normal(n, n_bkps)
-    rpt.display(signal, bkps)
-    return signal,bkps
-
-def pw_wavy_input(n,dim,n_bkps,sigma):
-    # creation of data
-    #n, dim = 500, 3  # number of samples, dimension
-    #n_bkps, sigma = 3, 5  # number of change points, noise standart deviation
-    signal, bkps = rpt.pw_wavy(n, n_bkps, noise_std=sigma)
-    rpt.display(signal, bkps)
-    return signal,bkps
-
-input_list = ['piecewiseConstant','piecewiseLinear','piecewiseNormal','piecewiseSinusoidal']
-generate_signal = st.selectbox(label = "Choose an input signal", options = input_list)
-
-n,dim,n_bkps,sigma = st.columns(4)
-with n:
-    n= st.number_input('No of Samples',min_value=100,step=1)
-with dim:
-    dim = st.number_input('No of dimesions',min_value=1,max_value = 5,step=1)
-with n_bkps:
-    n_bkps = st.number_input('No of breakpoints',min_value=2,step=1)
-with sigma:
-    sigma = st.number_input('Variance',min_value=0,max_value=4,step=1)
-
-if generate_signal == 'piecewiseConstant':
-     signal,bkps = pw_constant_input(n,dim,n_bkps,sigma)
-elif generate_signal== 'piecewiseLinear':
-    signal,bkps = pw_linear_input(n,dim,n_bkps,sigma)
-elif generate_signal == 'piecewiseNormal':
-    signal,bkps = pw_normal_input(n,dim,n_bkps,sigma)
-else:
-    signal,bkps= pw_wavy_input(n,dim,n_bkps,sigma)
-
-fig, axarr = rpt.display(signal,bkps)
-st.pyplot(fig)
-
-def dynp_method(signal,bkps,n_bkps):
-    # change point detection
-    model = "l1"  # "l2", "rbf"
-    algo = rpt.Dynp(model=model, min_size=3, jump=5).fit(signal)
-    my_bkps = algo.predict(n_bkps)
-    # show results
-    fig,axarr = rpt.show.display(signal, bkps, my_bkps, figsize=(10, 2))
-    #plt.show()
-    st.pyplot(fig)
-    return my_bkps
-
-def pelt_method(signal,bkps,n_bkps):
-    # change point detection
-    model = "l1"  # "l2", "rbf"
-    algo = rpt.Pelt(model=model, min_size=n_bkps, jump=5).fit(signal)
-    my_bkps = algo.predict(pen=n_bkps)
-
-    # show results
-    fig, ax_arr = rpt.display(signal, bkps, my_bkps, figsize=(10, 2))
-    st.pyplot(fig)
-    return my_bkps
-    
-
-def bin_seg_method(signal,bkps,n_bkps):
-    # change point detection
-    model = "l2"  # "l1", "rbf", "linear", "normal", "ar",...
-    algo = rpt.Binseg(model=model).fit(signal)
-    my_bkps = algo.predict(n_bkps)
-
-    # show results
-    fg,axxarr = rpt.show.display(signal, bkps, my_bkps, figsize=(10, 2))
-    st.pyplot(fig)
-    return my_bkps
-
-def bot_up_seg(signal,bkps,n_bkps):
-    # change point detection
-    model = "l2"  # "l1", "rbf", "linear", "normal", "ar",...
-    algo = rpt.Binseg(model=model).fit(signal)
-    my_bkps = algo.predict(n_bkps)
-
-    # show results
-    fig,axxar = rpt.show.display(signal, bkps, my_bkps, figsize=(10, 2))
-    st.pyplot(fig)
-    return my_bkps
-
-def win_sli_seg(signal,bkps,n_bkps):
-    # change point detection
-    model = "l2"  # "l1", "rbf", "linear", "normal", "ar"
-    algo = rpt.Window(width=40, model=model).fit(signal)
-    my_bkps = algo.predict(n_bkps)
-
-    # show results
-    fig,axxar= rpt.show.display(signal, bkps, my_bkps, figsize=(10, 2))
-    st.pyplot(fig)
-    return my_bkps
-    
-
-searchmethod_list = ['Dynamic Programming','Pelt','Binary Segmentation','Bottom-up Segmentation','Window sliding segmentation']
-detection_model = st.selectbox(label = "Choose a Detection Method",options = searchmethod_list)
-
-if detection_model== 'Dynamic Programming':
-    bkps1 = dynp_method(signal,bkps,n_bkps)
-    
-elif detection_model=='Pelt':
-    bkps1 = pelt_method(signal,bkps,n_bkps)
-elif detection_model=='Binary Segmentation':
-    bkps1 = bin_seg_method(signal,bkps,n_bkps)
-elif detection_model=='Bottom-up Segmentation':
-    bkps1 = bot_up_seg(signal,bkps,n_bkps)
-else:
-    bkps1 = win_sli_seg(signal,bkps,n_bkps)
-
-p, r = precision_recall(bkps, bkps1)
-st.header('Precision and Recall')
-st.write(p, r)
-
-st.header('Hausdorff metric')
-st.subheader(hausdorff(bkps, bkps1))
-    
-st.subheader('Rand index')
-
-
-st.subheader(randindex(bkps, bkps1))
-
-
-
-st.write("""
-For a detailed description please look through our Documentation 
-""")
-
-url = 'https://huggingface.co/spaces/ThirdEyeData/ChangePointDetection/blob/main/README.md'
-
-st.markdown(f'''
-<a href={url}><button style="background-color: #668F45;">Documentation</button></a>
-''',
-unsafe_allow_html=True)
-
-
-
-
-
-
-
-
-
diff --git a/spaces/UMich-siads699-fa22-spotamood/spotamood/pickle_objects/ft_model_full_annotations/README.md b/spaces/UMich-siads699-fa22-spotamood/spotamood/pickle_objects/ft_model_full_annotations/README.md
deleted file mode 100644
index 7e4f795b8c06a7b5d64aaa26350a8d73b795c38e..0000000000000000000000000000000000000000
--- a/spaces/UMich-siads699-fa22-spotamood/spotamood/pickle_objects/ft_model_full_annotations/README.md
+++ /dev/null
@@ -1,129 +0,0 @@
----
-pipeline_tag: sentence-similarity
-tags:
-- sentence-transformers
-- feature-extraction
-- sentence-similarity
-- transformers
-
----
-
-# {MODEL_NAME}
-
-This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
-
-<!--- Describe your model here -->
-
-## Usage (Sentence-Transformers)
-
-Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
-
-```
-pip install -U sentence-transformers
-```
-
-Then you can use the model like this:
-
-```python
-from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
-
-model = SentenceTransformer('{MODEL_NAME}')
-embeddings = model.encode(sentences)
-print(embeddings)
-```
-
-
-
-## Usage (HuggingFace Transformers)
-Without [sentence-transformers](https://www.SBERT.net), you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.
-
-```python
-from transformers import AutoTokenizer, AutoModel
-import torch
-
-
-#Mean Pooling - Take attention mask into account for correct averaging
-def mean_pooling(model_output, attention_mask):
-    token_embeddings = model_output[0] #First element of model_output contains all token embeddings
-    input_mask_expanded = attention_mask.unsqueeze(-1).expand(token_embeddings.size()).float()
-    return torch.sum(token_embeddings * input_mask_expanded, 1) / torch.clamp(input_mask_expanded.sum(1), min=1e-9)
-
-
-# Sentences we want sentence embeddings for
-sentences = ['This is an example sentence', 'Each sentence is converted']
-
-# Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
-model = AutoModel.from_pretrained('{MODEL_NAME}')
-
-# Tokenize sentences
-encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
-
-# Compute token embeddings
-with torch.no_grad():
-    model_output = model(**encoded_input)
-
-# Perform pooling. In this case, mean pooling.
-sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask'])
-
-print("Sentence embeddings:")
-print(sentence_embeddings)
-```
-
-
-
-## Evaluation Results
-
-<!--- Describe how your model was evaluated -->
-
-For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
-
-
-## Training
-The model was trained with the parameters:
-
-**DataLoader**:
-
-`torch.utils.data.dataloader.DataLoader` of length 321 with parameters:
-```
-{'batch_size': 16, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
-```
-
-**Loss**:
-
-`sentence_transformers.losses.MultipleNegativesRankingLoss.MultipleNegativesRankingLoss` with parameters:
-  ```
-  {'scale': 20.0, 'similarity_fct': 'cos_sim'}
-  ```
-
-Parameters of the fit()-Method:
-```
-{
-    "epochs": 10,
-    "evaluation_steps": 0,
-    "evaluator": "NoneType",
-    "max_grad_norm": 1,
-    "optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
-    "optimizer_params": {
-        "lr": 2e-05
-    },
-    "scheduler": "WarmupLinear",
-    "steps_per_epoch": null,
-    "warmup_steps": 321,
-    "weight_decay": 0.01
-}
-```
-
-
-## Full Model Architecture
-```
-SentenceTransformer(
-  (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: RobertaModel 
-  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False})
-)
-```
-
-## Citing & Authors
-
-<!--- Describe where people can find more information -->
\ No newline at end of file
diff --git a/spaces/VK123/ChatGPT4/README.md b/spaces/VK123/ChatGPT4/README.md
deleted file mode 100644
index 7938de14e5355209aaae713f289ca469181bbb17..0000000000000000000000000000000000000000
--- a/spaces/VK123/ChatGPT4/README.md
+++ /dev/null
@@ -1,14 +0,0 @@
----
-title: Chat-with-GPT4
-emoji: 🚀
-colorFrom: red
-colorTo: indigo
-sdk: gradio
-sdk_version: 3.21.0
-app_file: app.py
-pinned: false
-license: mit
-duplicated_from: ysharma/ChatGPT4
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/WhyLIM/ChatGPT-academic/toolbox.py b/spaces/WhyLIM/ChatGPT-academic/toolbox.py
deleted file mode 100644
index 284067cf3524664cc320cd7045db1d877d77ced4..0000000000000000000000000000000000000000
--- a/spaces/WhyLIM/ChatGPT-academic/toolbox.py
+++ /dev/null
@@ -1,187 +0,0 @@
-import markdown, mdtex2html, threading
-from show_math import convert as convert_math
-from functools import wraps
-
-def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[]):
-    """
-        调用简单的predict_no_ui接口，但是依然保留了些许界面心跳功能，当对话太长时，会自动采用二分法截断
-    """
-    import time
-    try: from config_private import TIMEOUT_SECONDS, MAX_RETRY
-    except: from config import TIMEOUT_SECONDS, MAX_RETRY
-    from predict import predict_no_ui
-    # 多线程的时候，需要一个mutable结构在不同线程之间传递信息
-    # list就是最简单的mutable结构，我们第一个位置放gpt输出，第二个位置传递报错信息
-    mutable = [None, '']
-    # multi-threading worker
-    def mt(i_say, history): 
-        while True:
-            try:
-                mutable[0] = predict_no_ui(inputs=i_say, top_p=top_p, temperature=temperature, history=history)
-                break
-            except ConnectionAbortedError as e:
-                if len(history) > 0:
-                    history = [his[len(his)//2:] for his in history if his is not None]
-                    mutable[1] = 'Warning! History conversation is too long, cut into half. '
-                else:
-                    i_say = i_say[:len(i_say)//2]
-                    mutable[1] = 'Warning! Input file is too long, cut into half. '
-            except TimeoutError as e:
-                mutable[0] = '[Local Message] Failed with timeout'
-    # 创建新线程发出http请求
-    thread_name = threading.Thread(target=mt, args=(i_say, history)); thread_name.start()
-    # 原来的线程则负责持续更新UI，实现一个超时倒计时，并等待新线程的任务完成
-    cnt = 0
-    while thread_name.is_alive():
-        cnt += 1
-        chatbot[-1] = (i_say_show_user, f"[Local Message] {mutable[1]}waiting gpt response {cnt}/{TIMEOUT_SECONDS*2*(MAX_RETRY+1)}"+''.join(['.']*(cnt%4)))
-        yield chatbot, history, '正常'
-        time.sleep(1)
-    # 把gpt的输出从mutable中取出来
-    gpt_say = mutable[0]
-    return gpt_say
-
-def write_results_to_file(history, file_name=None):
-    """
-        将对话记录history以Markdown格式写入文件中。如果没有指定文件名，则使用当前时间生成文件名。
-    """
-    import os, time
-    if file_name is None:
-        # file_name = time.strftime("chatGPT分析报告%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
-        file_name = 'chatGPT分析报告' + time.strftime("%Y-%m-%d-%H-%M-%S", time.localtime()) + '.md'
-    os.makedirs('./gpt_log/', exist_ok=True)
-    with open(f'./gpt_log/{file_name}', 'w', encoding = 'utf8') as f:
-        f.write('# chatGPT 分析报告\n')
-        for i, content in enumerate(history):
-            if i%2==0: f.write('## ')
-            f.write(content)
-            f.write('\n\n')
-    res = '以上材料已经被写入' + os.path.abspath(f'./gpt_log/{file_name}')
-    print(res)
-    return res
-
-def regular_txt_to_markdown(text):
-    """
-        将普通文本转换为Markdown格式的文本。
-    """
-    text = text.replace('\n', '\n\n')
-    text = text.replace('\n\n\n', '\n\n')
-    text = text.replace('\n\n\n', '\n\n')
-    return text
-
-def CatchException(f):
-    """
-        装饰器函数，捕捉函数f中的异常并封装到一个生成器中返回，并显示到聊天当中。
-    """
-    @wraps(f)
-    def decorated(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT):
-        try:
-            yield from f(txt, top_p, temperature, chatbot, history, systemPromptTxt, WEB_PORT)
-        except Exception as e:
-            import traceback
-            from check_proxy import check_proxy
-            try: from config_private import proxies
-            except: from config import proxies
-            tb_str = regular_txt_to_markdown(traceback.format_exc())
-            chatbot[-1] = (chatbot[-1][0], f"[Local Message] 实验性函数调用出错: \n\n {tb_str} \n\n 当前代理可用性: \n\n {check_proxy(proxies)}")
-            yield chatbot, history, f'异常 {e}'
-    return decorated
-
-def report_execption(chatbot, history, a, b):
-    """
-        向chatbot中添加错误信息
-    """
-    chatbot.append((a, b))
-    history.append(a); history.append(b)
-
-def text_divide_paragraph(text):
-    """
-        将文本按照段落分隔符分割开，生成带有段落标签的HTML代码。
-    """
-    if '```' in text:
-        # careful input
-        return text
-    else:
-        # wtf input
-        lines = text.split("\n")
-        for i, line in enumerate(lines):
-            if i!=0: lines[i] = "<p>"+lines[i].replace(" ", "&nbsp;")+"</p>"
-        text = "".join(lines)
-        return text
-
-def markdown_convertion(txt):
-    """
-        将Markdown格式的文本转换为HTML格式。如果包含数学公式，则先将公式转换为HTML格式。
-    """
-    if ('$' in txt) and ('```' not in txt):
-        return markdown.markdown(txt,extensions=['fenced_code','tables']) + '<br><br>' + \
-            markdown.markdown(convert_math(txt, splitParagraphs=False),extensions=['fenced_code','tables'])
-    else:
-        return markdown.markdown(txt,extensions=['fenced_code','tables'])
-
-
-def format_io(self, y):
-    """
-        将输入和输出解析为HTML格式。将y中最后一项的输入部分段落化，并将输出部分的Markdown和数学公式转换为HTML格式。
-    """
-    if y is None: return []
-    i_ask, gpt_reply = y[-1]
-    i_ask = text_divide_paragraph(i_ask) # 输入部分太自由，预处理一波
-    y[-1] = (
-        None if i_ask is None else markdown.markdown(i_ask, extensions=['fenced_code','tables']),
-        None if gpt_reply is None else markdown_convertion(gpt_reply)
-    )
-    return y
-
-
-def find_free_port():
-    """
-        返回当前系统中可用的未使用端口。
-    """
-    import socket
-    from contextlib import closing
-    with closing(socket.socket(socket.AF_INET, socket.SOCK_STREAM)) as s:
-        s.bind(('', 0))
-        s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
-        return s.getsockname()[1]
-    
-
-def extract_archive(file_path, dest_dir):
-    import zipfile
-    import tarfile
-    import os
-    # Get the file extension of the input file
-    file_extension = os.path.splitext(file_path)[1]
-
-    # Extract the archive based on its extension
-    if file_extension == '.zip':
-        with zipfile.ZipFile(file_path, 'r') as zipobj:
-            zipobj.extractall(path=dest_dir)
-            print("Successfully extracted zip archive to {}".format(dest_dir))
-
-    elif file_extension in ['.tar', '.gz', '.bz2']:
-        with tarfile.open(file_path, 'r:*') as tarobj:
-            tarobj.extractall(path=dest_dir)
-            print("Successfully extracted tar archive to {}".format(dest_dir))
-    else:
-        return
-    
-def find_recent_files(directory):
-    """
-        me: find files that is created with in one minutes under a directory with python, write a function
-        gpt: here it is!
-    """
-    import os
-    import time
-    current_time = time.time()
-    one_minute_ago = current_time - 60
-    recent_files = []
-
-    for filename in os.listdir(directory):
-        file_path = os.path.join(directory, filename)
-        if file_path.endswith('.log'): continue
-        created_time = os.path.getctime(file_path)
-        if created_time >= one_minute_ago:
-            recent_files.append(file_path)
-
-    return recent_files
\ No newline at end of file
diff --git a/spaces/XzJosh/Ava-Bert-VITS2/server.py b/spaces/XzJosh/Ava-Bert-VITS2/server.py
deleted file mode 100644
index c736ca4f95fec853950eef6654ef79856beffc0a..0000000000000000000000000000000000000000
--- a/spaces/XzJosh/Ava-Bert-VITS2/server.py
+++ /dev/null
@@ -1,123 +0,0 @@
-from flask import Flask, request, Response
-from io import BytesIO
-import torch
-from av import open as avopen
-
-import commons
-import utils
-from models import SynthesizerTrn
-from text.symbols import symbols
-from text import cleaned_text_to_sequence, get_bert
-from text.cleaner import clean_text
-from scipy.io import wavfile
-
-# Flask Init
-app = Flask(__name__)
-app.config['JSON_AS_ASCII'] = False
-def get_text(text, language_str, hps):
-    norm_text, phone, tone, word2ph = clean_text(text, language_str)
-    print([f"{p}{t}" for p, t in zip(phone, tone)])
-    phone, tone, language = cleaned_text_to_sequence(phone, tone, language_str)
-
-    if hps.data.add_blank:
-        phone = commons.intersperse(phone, 0)
-        tone = commons.intersperse(tone, 0)
-        language = commons.intersperse(language, 0)
-        for i in range(len(word2ph)):
-            word2ph[i] = word2ph[i] * 2
-        word2ph[0] += 1
-    bert = get_bert(norm_text, word2ph, language_str)
-
-    assert bert.shape[-1] == len(phone)
-
-    phone = torch.LongTensor(phone)
-    tone = torch.LongTensor(tone)
-    language = torch.LongTensor(language)
-
-    return bert, phone, tone, language
-
-def infer(text, sdp_ratio, noise_scale, noise_scale_w,length_scale,sid):
-    bert, phones, tones, lang_ids = get_text(text,"ZH", hps,)
-    with torch.no_grad():
-        x_tst=phones.to(dev).unsqueeze(0)
-        tones=tones.to(dev).unsqueeze(0)
-        lang_ids=lang_ids.to(dev).unsqueeze(0)
-        bert = bert.to(dev).unsqueeze(0)
-        x_tst_lengths = torch.LongTensor([phones.size(0)]).to(dev)
-        speakers = torch.LongTensor([hps.data.spk2id[sid]]).to(dev)
-        audio = net_g.infer(x_tst, x_tst_lengths, speakers, tones, lang_ids,bert, sdp_ratio=sdp_ratio
-                           , noise_scale=noise_scale, noise_scale_w=noise_scale_w, length_scale=length_scale)[0][0,0].data.cpu().float().numpy()
-        return audio
-
-def replace_punctuation(text, i=2):
-    punctuation = "，。？！"
-    for char in punctuation:
-        text = text.replace(char, char * i)
-    return text
-
-def wav2(i, o, format):
-    inp = avopen(i, 'rb')
-    out = avopen(o, 'wb', format=format)
-    if format == "ogg": format = "libvorbis"
-
-    ostream = out.add_stream(format)
-
-    for frame in inp.decode(audio=0):
-        for p in ostream.encode(frame): out.mux(p)
-
-    for p in ostream.encode(None): out.mux(p)
-
-    out.close()
-    inp.close()
-
-# Load Generator
-hps = utils.get_hparams_from_file("./configs/config.json")
-
-dev='cuda'
-net_g = SynthesizerTrn(
-    len(symbols),
-    hps.data.filter_length // 2 + 1,
-    hps.train.segment_size // hps.data.hop_length,
-    n_speakers=hps.data.n_speakers,
-    **hps.model).to(dev)
-_ = net_g.eval()
-
-_ = utils.load_checkpoint("logs/G_649000.pth", net_g, None,skip_optimizer=True)
-
-@app.route("/",methods=['GET','POST'])
-def main():
-    if request.method == 'GET':
-        try:
-            speaker = request.args.get('speaker')
-            text = request.args.get('text').replace("/n","")
-            sdp_ratio = float(request.args.get("sdp_ratio", 0.2))
-            noise = float(request.args.get("noise", 0.5))
-            noisew = float(request.args.get("noisew", 0.6))
-            length = float(request.args.get("length", 1.2))
-            if length >= 2:
-                return "Too big length"
-            if len(text) >=200:
-                return "Too long text"
-            fmt = request.args.get("format", "wav")
-            if None in (speaker, text):
-                return "Missing Parameter"
-            if fmt not in ("mp3", "wav", "ogg"):
-                return "Invalid Format"
-        except:
-            return "Invalid Parameter"
-
-        with torch.no_grad():
-            audio = infer(text, sdp_ratio=sdp_ratio, noise_scale=noise, noise_scale_w=noisew, length_scale=length, sid=speaker)
-
-        with BytesIO() as wav:
-            wavfile.write(wav, hps.data.sampling_rate, audio)
-            torch.cuda.empty_cache()
-            if fmt == "wav":
-                return Response(wav.getvalue(), mimetype="audio/wav")
-            wav.seek(0, 0)
-            with BytesIO() as ofp:
-                wav2(wav, ofp, fmt)
-                return Response(
-                    ofp.getvalue(),
-                    mimetype="audio/mpeg" if fmt == "mp3" else "audio/ogg"
-                )
diff --git a/spaces/Yntec/Image-Models-Test/app.py b/spaces/Yntec/Image-Models-Test/app.py
deleted file mode 100644
index 88e9a7a8a64c98848c2e9027433c21f5751b38b2..0000000000000000000000000000000000000000
--- a/spaces/Yntec/Image-Models-Test/app.py
+++ /dev/null
@@ -1,144 +0,0 @@
-import gradio as gr
-# import os
-# import sys
-# from pathlib import Path
-import time
-
-models =[
-    "Yntec/RadiantVibes",
-    "Yntec/HassanBlend12",
-    "Yntec/HassanBlend1512VAE",
-    "Yntec/ElldrethsRetroMix_Diffusers",
-    "Yntec/REV",
-    "Yntec/CetusRemix",
-    "Yntec/Cetus",
-    "Yntec/DucHaitenAIart-beta",
-    "Yntec/RadiantCinemagic",
-]
-
-
-model_functions = {}
-model_idx = 1
-for model_path in models:
-    try:
-        model_functions[model_idx] = gr.Interface.load(f"models/{model_path}", live=False, preprocess=True, postprocess=False)
-    except Exception as error:
-        def the_fn(txt):
-            return None
-        model_functions[model_idx] = gr.Interface(fn=the_fn, inputs=["text"], outputs=["image"])
-    model_idx+=1
-
-
-def send_it_idx(idx):
-    def send_it_fn(prompt):
-        output = (model_functions.get(str(idx)) or model_functions.get(str(1)))(prompt)
-        return output
-    return send_it_fn
-
-def get_prompts(prompt_text):
-    return prompt_text
-
-def clear_it(val):
-    if int(val) != 0:
-        val = 0
-    else:
-        val = 0
-        pass
-    return val
-
-def all_task_end(cnt,t_stamp):
-    to = t_stamp + 360
-    et = time.time()
-    if et > to and t_stamp != 0:
-        d = gr.update(value=0)
-        tog = gr.update(value=1)
-        #print(f'to: {to}  et: {et}')
-    else:
-        if cnt != 0:
-            d = gr.update(value=et)
-        else:
-            d = gr.update(value=0)
-        tog = gr.update(value=0)
-        #print (f'passing:  to: {to}  et: {et}')
-        pass
-    return d, tog
-
-def all_task_start():
-    print("\n\n\n\n\n\n\n")
-    t = time.gmtime()
-    t_stamp = time.time()
-    current_time = time.strftime("%H:%M:%S", t)
-    return gr.update(value=t_stamp), gr.update(value=t_stamp), gr.update(value=0)
-
-def clear_fn():
-    nn = len(models)
-    return tuple([None, *[None for _ in range(nn)]])
-
-
-
-with gr.Blocks(title="SD Models") as my_interface:
-    with gr.Column(scale=12):
-        # with gr.Row():
-        #     gr.Markdown("""- Primary prompt: 你想画的内容(英文单词，如 a cat, 加英文逗号效果更好；点 Improve 按钮进行完善)\n- Real prompt: 完善后的提示词，出现后再点右边的 Run 按钮开始运行""")
-        with gr.Row():
-            with gr.Row(scale=6):
-                primary_prompt=gr.Textbox(label="Prompt", value="")
-                # real_prompt=gr.Textbox(label="Real prompt")
-            with gr.Row(scale=6):
-                # improve_prompts_btn=gr.Button("Improve")
-                with gr.Row():
-                    run=gr.Button("Run",variant="primary")
-                    clear_btn=gr.Button("Clear")
-        with gr.Row():
-            sd_outputs = {}
-            model_idx = 1
-            for model_path in models:
-                with gr.Column(scale=3, min_width=320):
-                    with gr.Box():
-                        sd_outputs[model_idx] = gr.Image(label=model_path)
-                    pass
-                model_idx += 1
-                pass
-            pass
-
-        with gr.Row(visible=False):
-            start_box=gr.Number(interactive=False)
-            end_box=gr.Number(interactive=False)
-            tog_box=gr.Textbox(value=0,interactive=False)
-
-        start_box.change(
-            all_task_end,
-            [start_box, end_box],
-            [start_box, tog_box],
-            every=1,
-            show_progress=True)
-
-        primary_prompt.submit(all_task_start, None, [start_box, end_box, tog_box])
-        run.click(all_task_start, None, [start_box, end_box, tog_box])
-        runs_dict = {}
-        model_idx = 1
-        for model_path in models:
-            runs_dict[model_idx] = run.click(model_functions[model_idx], inputs=[primary_prompt], outputs=[sd_outputs[model_idx]])
-            model_idx += 1
-            pass
-        pass
-
-        # improve_prompts_btn_clicked=improve_prompts_btn.click(
-        #     get_prompts,
-        #     inputs=[primary_prompt],
-        #     outputs=[primary_prompt],
-        #     cancels=list(runs_dict.values()))
-        clear_btn.click(
-            clear_fn,
-            None,
-            [primary_prompt, *list(sd_outputs.values())],
-            cancels=[*list(runs_dict.values())])
-        tog_box.change(
-            clear_it,
-            tog_box,
-            tog_box,
-            cancels=[*list(runs_dict.values())])
-
-my_interface.queue(concurrency_count=600, status_update_rate=1)
-my_interface.launch(inline=True, show_api=False)
- 
\ No newline at end of file
diff --git a/spaces/Yogesh19/MyajiAi/README.md b/spaces/Yogesh19/MyajiAi/README.md
deleted file mode 100644
index d25b734899435f988616e693af8f3a0a67d3cbb9..0000000000000000000000000000000000000000
--- a/spaces/Yogesh19/MyajiAi/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: MyajiAi
-emoji: 🚀
-colorFrom: yellow
-colorTo: pink
-sdk: gradio
-sdk_version: 3.39.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/Yuliang/ICON/lib/pymaf/utils/transforms.py b/spaces/Yuliang/ICON/lib/pymaf/utils/transforms.py
deleted file mode 100644
index 996742aa6defb02afcd59f7f2ae0eb47576bf314..0000000000000000000000000000000000000000
--- a/spaces/Yuliang/ICON/lib/pymaf/utils/transforms.py
+++ /dev/null
@@ -1,78 +0,0 @@
-# ------------------------------------------------------------------------------
-# Copyright (c) Microsoft
-# Licensed under the MIT License.
-# Written by Bin Xiao (Bin.Xiao@microsoft.com)
-# ------------------------------------------------------------------------------
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import cv2
-import numpy as np
-
-
-def transform_preds(coords, center, scale, output_size):
-    target_coords = np.zeros(coords.shape)
-    trans = get_affine_transform(center, scale, 0, output_size, inv=1)
-    for p in range(coords.shape[0]):
-        target_coords[p, 0:2] = affine_transform(coords[p, 0:2], trans)
-    return target_coords
-
-
-def get_affine_transform(center,
-                         scale,
-                         rot,
-                         output_size,
-                         shift=np.array([0, 0], dtype=np.float32),
-                         inv=0):
-    if not isinstance(scale, np.ndarray) and not isinstance(scale, list):
-        # print(scale)
-        scale = np.array([scale, scale])
-
-    scale_tmp = scale * 200.0
-    src_w = scale_tmp[0]
-    dst_w = output_size[0]
-    dst_h = output_size[1]
-
-    rot_rad = np.pi * rot / 180
-    src_dir = get_dir([0, src_w * -0.5], rot_rad)
-    dst_dir = np.array([0, dst_w * -0.5], np.float32)
-
-    src = np.zeros((3, 2), dtype=np.float32)
-    dst = np.zeros((3, 2), dtype=np.float32)
-    src[0, :] = center + scale_tmp * shift
-    src[1, :] = center + src_dir + scale_tmp * shift
-    dst[0, :] = [dst_w * 0.5, dst_h * 0.5]
-    dst[1, :] = np.array([dst_w * 0.5, dst_h * 0.5]) + dst_dir
-
-    src[2:, :] = get_3rd_point(src[0, :], src[1, :])
-    dst[2:, :] = get_3rd_point(dst[0, :], dst[1, :])
-
-    if inv:
-        trans = cv2.getAffineTransform(np.float32(dst), np.float32(src))
-    else:
-        trans = cv2.getAffineTransform(np.float32(src), np.float32(dst))
-
-    return trans
-
-
-def affine_transform(pt, t):
-    new_pt = np.array([pt[0], pt[1], 1.]).T
-    new_pt = np.dot(t, new_pt)
-    return new_pt[:2]
-
-
-def get_3rd_point(a, b):
-    direct = a - b
-    return b + np.array([-direct[1], direct[0]], dtype=np.float32)
-
-
-def get_dir(src_point, rot_rad):
-    sn, cs = np.sin(rot_rad), np.cos(rot_rad)
-
-    src_result = [0, 0]
-    src_result[0] = src_point[0] * cs - src_point[1] * sn
-    src_result[1] = src_point[0] * sn + src_point[1] * cs
-
-    return src_result
diff --git a/spaces/a-v-bely/spanish-task-generator/utilities_cookies/encrypted_cookie_manager.py b/spaces/a-v-bely/spanish-task-generator/utilities_cookies/encrypted_cookie_manager.py
deleted file mode 100644
index b7688afce32eaeb7b1145b40472ba9bde0213811..0000000000000000000000000000000000000000
--- a/spaces/a-v-bely/spanish-task-generator/utilities_cookies/encrypted_cookie_manager.py
+++ /dev/null
@@ -1,115 +0,0 @@
-import os
-import base64
-import streamlit as st
-from typing import Tuple
-from typing import Optional
-from cryptography import fernet
-from typing import MutableMapping
-from cryptography.fernet import Fernet
-from cryptography.hazmat.primitives import hashes
-from utilities_cookies.cookie_manager import CookieManager
-from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
-
-
-@st.cache_data
-def key_from_parameters(salt: bytes, iterations: int, password: str):
-    kdf = PBKDF2HMAC(
-        algorithm=hashes.SHA256(),
-        length=32,
-        salt=salt,
-        iterations=iterations,
-    )
-
-    return base64.urlsafe_b64encode(kdf.derive(password.encode('utf-8')))
-
-
-class EncryptedCookieManager(MutableMapping[str, str]):
-    def __init__(
-            self, *,
-            password: str,
-            path: str = None,
-            prefix: str = "",
-            key_params_cookie="EncryptedCookieManager.key_params",
-            ignore_broken=True,
-    ):
-        self._cookie_manager = CookieManager(path=path, prefix=prefix)
-        self._fernet: Optional[Fernet] = None
-        self._key_params_cookie = key_params_cookie
-        self._password = password
-        self._ignore_broken = ignore_broken
-
-    def ready(self):
-        return self._cookie_manager.ready()
-
-    def save(self):
-        return self._cookie_manager.save()
-
-    def _encrypt(self, value):
-        self._setup_fernet()
-        return self._fernet.encrypt(value)
-
-    def _decrypt(self, value):
-        self._setup_fernet()
-        return self._fernet.decrypt(value)
-
-    def _setup_fernet(self):
-        if self._fernet is not None:
-            return
-        key_params = self._get_key_params()
-        if not key_params:
-            key_params = self._initialize_new_key_params()
-        salt, iterations, magic = key_params
-        key = key_from_parameters(
-            salt=salt,
-            iterations=iterations,
-            password=self._password
-        )
-
-        self._fernet = Fernet(key)
-
-    def _get_key_params(self) -> Optional[Tuple[bytes, int, bytes]]:
-        raw_key_params = self._cookie_manager.get(self._key_params_cookie)
-        if not raw_key_params:
-            return
-        try:
-            raw_salt, raw_iterations, raw_magic = raw_key_params.split(':')
-            return base64.b64decode(raw_salt), int(raw_iterations), base64.b64decode(raw_magic)
-        except (ValueError, TypeError):
-            print(f"Failed to parse key parameters from cookie {raw_key_params}")
-            return
-
-    def _initialize_new_key_params(self) -> Tuple[bytes, int, bytes]:
-        salt = os.urandom(16)
-        iterations = 390000
-        magic = os.urandom(16)
-        self._cookie_manager[self._key_params_cookie] = b':'.join([
-            base64.b64encode(salt),
-            str(iterations).encode('ascii'),
-            base64.b64encode(magic)
-        ]).decode('ascii')
-        return salt, iterations, magic
-
-    def __repr__(self):
-        if self.ready():
-            return f'<EncryptedCookieManager: {dict(self)!r}>'
-        return '<EncryptedCookieManager: not ready>'
-
-    def __getitem__(self, k: str) -> str or None:
-        try:
-            return self._decrypt(self._cookie_manager[k].encode('utf-8')).decode('utf-8')
-        except fernet.InvalidToken:
-            if self._ignore_broken:
-                return
-            raise
-
-    def __iter__(self):
-        return iter(self._cookie_manager)
-
-    def __len__(self):
-        return len(self._cookie_manager)
-
-    def __setitem__(self, key: str, value: str) -> None:
-        self._cookie_manager[key] = self._encrypt(value.encode('utf-8')).decode('utf-8')
-
-    def __delitem__(self, key: str) -> None:
-        del self._cookie_manager[key]
diff --git a/spaces/aLIdAmIrI/math-help/app.py b/spaces/aLIdAmIrI/math-help/app.py
deleted file mode 100644
index 972be111b397e9da96100d59299eab8a0052ab0f..0000000000000000000000000000000000000000
--- a/spaces/aLIdAmIrI/math-help/app.py
+++ /dev/null
@@ -1,59 +0,0 @@
-import streamlit as st
-import cmath
-
-def moadele_1():
-    x_moadele1 = complex(st.text_input('Enter you equation'))
-    y = int(st.text_input('your answer'))
-    y -= x_moadele1.real
-    y = y / x_moadele1.imag
-    return str(y)
-
-def moadele_1_2():
-    f = complex(st.text_input('The first side of equation: '))
-    c = complex(st.text_input('The second side of equation: '))
-    x = f.real - c.real
-    y = c.imag - f.imag
-    x = x / y
-    return x
-
-def moadele_2():
-    a_moadele2=float(st.text_input('Enter a:'))
-    b_moadele2=float(st.text_input('Enter b:'))
-    c_moadele2=float(st.text_input('Enter c:'))
-    y_t=(b_moadele2**2)-(4*a_moadele2*c_moadele2)
-
-    y_fstans=(-b_moadele2-cmath.sqrt(y_t))/(2*a_moadele2)
-    y_secans=(-b_moadele2+cmath.sqrt(y_t))/(2*a_moadele2)
-
-    return (y_fstans.real + y_fstans.imag), (y_secans.real + y_secans.imag)
-
-
-
-st.set_page_config(page_title="Ali's application")
-st.header('Math helper')
-
-st.write('')
-st.write('')
-st.write('')
-
-what = st.radio(
-    "which one do you wnat to do?",
-    ('Normal equation 1 - example: 3+4j = ans', 'Normal equation 2 - example: 3+4j = 5+9j -- for x>0', '2 degree equation - example: ax^2+bx+c=0'))
-
-if what == 'Normal equation 1 - example: 3+4j = ans':
-    try:
-        st.write('your answer is : ', moadele_1())
-    except:
-        pass
-
-if what == 'Normal equation 2 - example: 3+4j = 5+9j -- for x>0':
-    try:
-        st.write('your answer is: ', moadele_1_2())
-    except:
-        pass
-
-if what == '2 degree equation - example: ax^2+bx+c=0':
-    try:
-        st.write('your answers are: ', moadele_2())
-    except:
-        pass
\ No newline at end of file
diff --git a/spaces/abdvl/datahub_qa_bot/docs/debugging.md b/spaces/abdvl/datahub_qa_bot/docs/debugging.md
deleted file mode 100644
index 16e29c3b6bf8f71a0d8771720f12b7cdc06a5db4..0000000000000000000000000000000000000000
--- a/spaces/abdvl/datahub_qa_bot/docs/debugging.md
+++ /dev/null
@@ -1,224 +0,0 @@
-# Quickstart Debugging Guide
-
-For when [Quickstart](./quickstart.md) did not work out smoothly.
-
-## How can I confirm if all Docker containers are running as expected after a quickstart?
-
-If you set up the `datahub` CLI tool (see [here](../metadata-ingestion/README.md)), you can use the built-in check utility:
-```shell
-datahub docker check
-```
-
-You can list all Docker containers in your local by running `docker container ls`. You should expect to see a log similar to the below:
-
-```
-CONTAINER ID        IMAGE                                                 COMMAND                  CREATED             STATUS              PORTS                                                      NAMES
-979830a342ce        linkedin/datahub-mce-consumer:latest                "bash -c 'while ping…"   10 hours ago        Up 10 hours                                                                    datahub-mce-consumer
-3abfc72e205d        linkedin/datahub-frontend-react:latest              "datahub-frontend…"   10 hours ago        Up 10 hours         0.0.0.0:9002->9002/tcp                                     datahub-frontend
-50b2308a8efd        linkedin/datahub-mae-consumer:latest                "bash -c 'while ping…"   10 hours ago        Up 10 hours                                                                    datahub-mae-consumer
-4d6b03d77113        linkedin/datahub-gms:latest                         "bash -c 'dockerize …"   10 hours ago        Up 10 hours         0.0.0.0:8080->8080/tcp                                     datahub-gms
-c267c287a235        landoop/schema-registry-ui:latest                     "/run.sh"                10 hours ago        Up 10 hours         0.0.0.0:8000->8000/tcp                                     schema-registry-ui
-4b38899cc29a        confluentinc/cp-schema-registry:5.2.1                 "/etc/confluent/dock…"   10 hours ago        Up 10 hours         0.0.0.0:8081->8081/tcp                                     schema-registry
-37c29781a263        confluentinc/cp-kafka:5.2.1                           "/etc/confluent/dock…"   10 hours ago        Up 10 hours         0.0.0.0:9092->9092/tcp, 0.0.0.0:29092->29092/tcp           broker
-15440d99a510        docker.elastic.co/kibana/kibana:5.6.8                 "/bin/bash /usr/loca…"   10 hours ago        Up 10 hours         0.0.0.0:5601->5601/tcp                                     kibana
-943e60f9b4d0        neo4j:4.0.6                                           "/sbin/tini -g -- /d…"   10 hours ago        Up 10 hours         0.0.0.0:7474->7474/tcp, 7473/tcp, 0.0.0.0:7687->7687/tcp   neo4j
-6d79b6f02735        confluentinc/cp-zookeeper:5.2.1                       "/etc/confluent/dock…"   10 hours ago        Up 10 hours         2888/tcp, 0.0.0.0:2181->2181/tcp, 3888/tcp                 zookeeper
-491d9f2b2e9e        docker.elastic.co/elasticsearch/elasticsearch:5.6.8   "/bin/bash bin/es-do…"   10 hours ago        Up 10 hours         0.0.0.0:9200->9200/tcp, 9300/tcp                           elasticsearch
-ce14b9758eb3        mysql:5.7
-```
-
-Also you can check individual Docker container logs by running `docker logs <<container_name>>`. For `datahub-gms`, you should see a log similar to this at the end of the initialization:
-```
-2020-02-06 09:20:54.870:INFO:oejs.Server:main: Started @18807ms
-```
-
-For `datahub-frontend-react`, you should see a log similar to this at the end of the initialization:
-```
-09:20:22 [main] INFO  play.core.server.AkkaHttpServer - Listening for HTTP on /0.0.0.0:9002
-```
-
-## My elasticsearch or broker container exited with error or was stuck forever
-
-If you're seeing errors like below, chances are you didn't give enough resource to docker. Please make sure to allocate at least 8GB of RAM + 2GB swap space.
-```
-datahub-gms             | 2020/04/03 14:34:26 Problem with request: Get http://elasticsearch:9200: dial tcp 172.19.0.5:9200: connect: connection refused. Sleeping 1s
-broker                  | [2020-04-03 14:34:42,398] INFO Client session timed out, have not heard from server in 6874ms for sessionid 0x10000023fa60002, closing socket connection and attempting reconnect (org.apache.zookeeper.ClientCnxn)
-schema-registry         | [2020-04-03 14:34:48,518] WARN Client session timed out, have not heard from server in 20459ms for sessionid 0x10000023fa60007 (org.apache.zookeeper.ClientCnxn)
-```
-
-## How can I check if [MXE](what/mxe.md) Kafka topics are created?
-
-You can use a utility like [kafkacat](https://github.com/edenhill/kafkacat) to list all topics.
-You can run below command to see the Kafka topics created in your Kafka broker.
-
-```bash
-kafkacat -L -b localhost:9092
-```
-
-Confirm that `MetadataChangeEvent`, `MetadataAuditEvent`, `MetadataChangeProposal_v1` and `MetadataChangeLog_v1` topics exist besides the default ones.
-
-## How can I check if search indices are created in Elasticsearch?
-
-You can run below command to see the search indices created in your Elasticsearch.
-
-```bash
-curl http://localhost:9200/_cat/indices
-```
-
-Confirm that `datasetindex_v2` & `corpuserindex_v2` indices exist besides the default ones. Example response as below:
-
-```bash
-yellow open dataset_datasetprofileaspect_v1         HnfYZgyvS9uPebEQDjA1jg 1 1   0  0   208b   208b
-yellow open datajobindex_v2                         A561PfNsSFmSg1SiR0Y0qQ 1 1   2  9 34.1kb 34.1kb
-yellow open mlmodelindex_v2                         WRJpdj2zT4ePLSAuEvFlyQ 1 1   1 12 24.2kb 24.2kb
-yellow open dataflowindex_v2                        FusYIc1VQE-5NaF12uS8dA 1 1   1  3 23.3kb 23.3kb
-yellow open mlmodelgroupindex_v2                    QOzAaVx7RJ2ovt-eC0hg1w 1 1   0  0   208b   208b
-yellow open datahubpolicyindex_v2                   luXfXRlSRoS2-S_tvfLjHA 1 1   0  0   208b   208b
-yellow open corpuserindex_v2                        gbNXtnIJTzqh3vHSZS0Fwg 1 1   2  2 18.4kb 18.4kb
-yellow open dataprocessindex_v2                     9fL_4iCNTLyFv8MkDc6nIg 1 1   0  0   208b   208b
-yellow open chartindex_v2                           wYKlG5ylQe2dVKHOaswTww 1 1   2  7 29.4kb 29.4kb
-yellow open tagindex_v2                             GBQSZEvuRy62kpnh2cu1-w 1 1   2  2 19.7kb 19.7kb
-yellow open mlmodeldeploymentindex_v2               UWA2ltxrSDyev7Tmu5OLmQ 1 1   0  0   208b   208b
-yellow open dashboardindex_v2                       lUjGAVkRRbuwz2NOvMWfMg 1 1   1  0  9.4kb  9.4kb
-yellow open .ds-datahub_usage_event-000001          Q6NZEv1UQ4asNHYRywxy3A 1 1  36  0 54.8kb 54.8kb
-yellow open datasetindex_v2                         bWE3mN7IRy2Uj0QzeCt1KQ 1 1   7 47 93.7kb 93.7kb
-yellow open mlfeatureindex_v2                       fvjML5xoQpy8oxPIwltm8A 1 1  20 39 59.3kb 59.3kb
-yellow open dataplatformindex_v2                    GihumZfvRo27vt9yRpoE_w 1 1   0  0   208b   208b
-yellow open glossarynodeindex_v2                    ABKeekWTQ2urPWfGDsS4NQ 1 1   1  1 18.1kb 18.1kb
-yellow open graph_service_v1                        k6q7xV8OTIaRIkCjrzdufA 1 1 116 25 77.1kb 77.1kb
-yellow open system_metadata_service_v1              9-FKAqp7TY2hs3RQuAtVMw 1 1 303  0 55.9kb 55.9kb
-yellow open schemafieldindex_v2                     Mi_lqA-yQnKWSleKEXSWeg 1 1   0  0   208b   208b
-yellow open mlfeaturetableindex_v2                  pk98zrSOQhGr5gPYUQwvvQ 1 1   5 14 36.4kb 36.4kb
-yellow open glossarytermindex_v2                    NIyi3WWiT0SZr8PtECo0xQ 1 1   3  8 23.1kb 23.1kb
-yellow open mlprimarykeyindex_v2                    R1WFxD9sQiapIZcXnDtqMA 1 1   7  6 35.5kb 35.5kb
-yellow open corpgroupindex_v2                       AYxVtFAEQ02BsJdahYYvlA 1 1   2  1 13.3kb 13.3kb
-yellow open dataset_datasetusagestatisticsaspect_v1 WqPpDCKZRLaMIcYAAkS_1Q 1 1   0  0   208b   208b
-```
-
-## How can I check if data has been loaded into MySQL properly?
-
-Once the mysql container is up and running, you should be able to connect to it directly on `localhost:3306` using tools such as [MySQL Workbench](https://www.mysql.com/products/workbench/). You can also run the following command to invoke [MySQL Command-Line Client](https://dev.mysql.com/doc/refman/8.0/en/mysql.html) inside the mysql container.
-
-```
-docker exec -it mysql /usr/bin/mysql datahub --user=datahub --password=datahub
-```
-
-Inspect the content of `metadata_aspect_v2` table, which contains the ingested aspects for all entities.
-
-## Getting error while starting Docker containers
-There can be different reasons why a container fails during initialization. Below are the most common reasons:
-
-### `bind: address already in use`
-This error means that the network port (which is supposed to be used by the failed container) is already in use on your system. You need to find and kill the process which is using this specific port before starting the corresponding Docker container. If you don't want to kill the process which is using that port, another option is to change the port number for the Docker container. You need to find and change the [ports](https://docs.docker.com/compose/compose-file/#ports) parameter for the specific Docker container in the `docker-compose.yml` configuration file.
-
-```
-Example : On macOS
-
-ERROR: for mysql  Cannot start service mysql: driver failed programming external connectivity on endpoint mysql (5abc99513affe527299514cea433503c6ead9e2423eeb09f127f87e2045db2ca): Error starting userland proxy: listen tcp 0.0.0.0:3306: bind: address already in use
-
-   1) sudo lsof -i :3306
-   2) kill -15 <PID found in step1>
-```
-### `OCI runtime create failed`
-If you see an error message like below, please make sure to git update your local repo to HEAD.
-```
-ERROR: for datahub-mae-consumer  Cannot start service datahub-mae-consumer: OCI runtime create failed: container_linux.go:349: starting container process caused "exec: \"bash\": executable file not found in $PATH": unknown
-```
-
-### `failed to register layer: devmapper: Unknown device`
-This most means that you're out of disk space (see [#1879](https://github.com/datahub-project/datahub/issues/1879)).
-
-### `ERROR: for kafka-rest-proxy  Get https://registry-1.docker.io/v2/confluentinc/cp-kafka-rest/manifests/5.4.0: EOF`
-This is most likely a transient issue with [Docker Registry](https://docs.docker.com/registry/). Retry again later.
-
-## toomanyrequests: too many failed login attempts for username or IP address
-Try the following
-```bash
-rm ~/.docker/config.json
-docker login
-```
-More discussions on the same issue https://github.com/docker/hub-feedback/issues/1250
-
-## Seeing `Table 'datahub.metadata_aspect' doesn't exist` error when logging in
-This means the database wasn't properly initialized as part of the quickstart processs (see [#1816](https://github.com/datahub-project/datahub/issues/1816)). Please run the following command to manually initialize it.
-```
-docker exec -i mysql sh -c 'exec mysql datahub -udatahub -pdatahub' < docker/mysql/init.sql
-```
-
-## I've messed up my docker setup. How do I start from scratch?
-Run the following script to remove all the containers and volumes created during the quickstart tutorial. Note that you'll also lose all the data as a result.
-```
-datahub docker nuke
-```
-## I'm seeing exceptions in DataHub GMS container like "Caused by: java.lang.IllegalStateException: Duplicate key com.linkedin.metadata.entity.ebean.EbeanAspectV2@dd26e011". What do I do?
-
-This is related to a SQL column collation issue. The default collation we previously used (prior to Oct 26, 2021) for URN fields was case-insensitive (utf8mb4_unicode_ci). We've recently moved
-to deploying with a case-sensitive collation (utf8mb4_bin) by default. In order to update a deployment that was started before Oct 26, 2021 (v0.8.16 and below) to have the new collation, you must run this command against your SQL DB directly:
-
-```
-ALTER TABLE metadata_aspect_v2 CONVERT TO CHARACTER SET utf8mb4 COLLATE utf8mb4_bin;
-```
-
-## I've modified the default user.props file to include a custom username and password, but I don't see the new user(s) inside the Users & Groups tab. Why not? 
-
-Currently, `user.props` is a file used by the JAAS PropertyFileLoginModule solely for the purpose of **Authentication**. The file is not used as an source from which to
-ingest additional metadata about the user. For that, you'll need to ingest some custom information about your new user using the Rest.li APIs or the [File-based ingestion source](./generated/ingestion/sources/file.md).
-
-For an example of a file that ingests user information, check out [single_mce.json](https://github.com/datahub-project/datahub/blob/master/metadata-ingestion/examples/mce_files/single_mce.json), which ingests a single user object into DataHub. Notice that the "urn" field provided
-will need to align with the custom username you've provided in user.props file. For example, if your user.props file contains:
-
-```
-my-custom-user:my-custom-password
-```
-
-You'll need to ingest some metadata of the following form to see it inside the DataHub UI:
-
-```
-{
-  "auditHeader": null,
-  "proposedSnapshot": {
-    "com.linkedin.pegasus2avro.metadata.snapshot.CorpUserSnapshot": {
-      "urn": "urn:li:corpuser:my-custom-user",
-      "aspects": [
-        {
-          "com.linkedin.pegasus2avro.identity.CorpUserInfo": {
-            "active": true,
-            "displayName": {
-              "string": "The name of the custom user"
-            },
-            "email": "my-custom-user-email@example.io",
-            "title": {
-              "string": "Engineer"
-            },
-            "managerUrn": null,
-            "departmentId": null,
-            "departmentName": null,
-            "firstName": null,
-            "lastName": null,
-            "fullName": {
-              "string": "My Custom User"
-            },
-            "countryCode": null
-          }
-        }
-      ]
-    }
-  },
-  "proposedDelta": null
-}
-```
-
-## I've configured OIDC, but I cannot login. I get continuously redirected. What do I do? 
-
-Sorry to hear that!
-
-This phenomena may be due to the size of a Cookie DataHub uses to authenticate its users. If it's too large ( > 4096), then you'll see this behavior. The cookie embeds an encoded version of the information returned by your OIDC Identity Provider - if they return a lot of information, this can be the root cause.
-
-One solution is to use Play Cache to persist this session information for a user. This means the attributes about the user (and their session info) will be stored in an in-memory store in the `datahub-frontend` service, instead of a browser-side cookie.
-
-To configure the Play Cache session store, you can set the env variable "PAC4J_SESSIONSTORE_PROVIDER" as "PlayCacheSessionStore" for the `datahub-frontend` container. 
-
-Do note that there are downsides to using the Play Cache. Specifically, it will make `datahub-frontend` a stateful server. If you have multiple instances of `datahub-frontend` deployed, you'll need to ensure that the same user is deterministically routed to the same service container (since the sessions are stored in memory). If you're using a single instance of `datahub-frontend` (the default), then things should "just work". 
-
-For more details, please refer to https://github.com/datahub-project/datahub/pull/5114
-
diff --git a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmcv/runner/__init__.py b/spaces/abhishek/sketch-to-image/annotator/uniformer/mmcv/runner/__init__.py
deleted file mode 100644
index 52e4b48d383a84a055dcd7f6236f6e8e58eab924..0000000000000000000000000000000000000000
--- a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmcv/runner/__init__.py
+++ /dev/null
@@ -1,47 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-from .base_module import BaseModule, ModuleList, Sequential
-from .base_runner import BaseRunner
-from .builder import RUNNERS, build_runner
-from .checkpoint import (CheckpointLoader, _load_checkpoint,
-                         _load_checkpoint_with_prefix, load_checkpoint,
-                         load_state_dict, save_checkpoint, weights_to_cpu)
-from .default_constructor import DefaultRunnerConstructor
-from .dist_utils import (allreduce_grads, allreduce_params, get_dist_info,
-                         init_dist, master_only)
-from .epoch_based_runner import EpochBasedRunner, Runner
-from .fp16_utils import LossScaler, auto_fp16, force_fp32, wrap_fp16_model
-from .hooks import (HOOKS, CheckpointHook, ClosureHook, DistEvalHook,
-                    DistSamplerSeedHook, DvcliveLoggerHook, EMAHook, EvalHook,
-                    Fp16OptimizerHook, GradientCumulativeFp16OptimizerHook,
-                    GradientCumulativeOptimizerHook, Hook, IterTimerHook,
-                    LoggerHook, LrUpdaterHook, MlflowLoggerHook,
-                    NeptuneLoggerHook, OptimizerHook, PaviLoggerHook,
-                    SyncBuffersHook, TensorboardLoggerHook, TextLoggerHook,
-                    WandbLoggerHook)
-from .iter_based_runner import IterBasedRunner, IterLoader
-from .log_buffer import LogBuffer
-from .optimizer import (OPTIMIZER_BUILDERS, OPTIMIZERS,
-                        DefaultOptimizerConstructor, build_optimizer,
-                        build_optimizer_constructor)
-from .priority import Priority, get_priority
-from .utils import get_host_info, get_time_str, obj_from_dict, set_random_seed
-
-__all__ = [
-    'BaseRunner', 'Runner', 'EpochBasedRunner', 'IterBasedRunner', 'LogBuffer',
-    'HOOKS', 'Hook', 'CheckpointHook', 'ClosureHook', 'LrUpdaterHook',
-    'OptimizerHook', 'IterTimerHook', 'DistSamplerSeedHook', 'LoggerHook',
-    'PaviLoggerHook', 'TextLoggerHook', 'TensorboardLoggerHook',
-    'NeptuneLoggerHook', 'WandbLoggerHook', 'MlflowLoggerHook',
-    'DvcliveLoggerHook', '_load_checkpoint', 'load_state_dict',
-    'load_checkpoint', 'weights_to_cpu', 'save_checkpoint', 'Priority',
-    'get_priority', 'get_host_info', 'get_time_str', 'obj_from_dict',
-    'init_dist', 'get_dist_info', 'master_only', 'OPTIMIZER_BUILDERS',
-    'OPTIMIZERS', 'DefaultOptimizerConstructor', 'build_optimizer',
-    'build_optimizer_constructor', 'IterLoader', 'set_random_seed',
-    'auto_fp16', 'force_fp32', 'wrap_fp16_model', 'Fp16OptimizerHook',
-    'SyncBuffersHook', 'EMAHook', 'build_runner', 'RUNNERS', 'allreduce_grads',
-    'allreduce_params', 'LossScaler', 'CheckpointLoader', 'BaseModule',
-    '_load_checkpoint_with_prefix', 'EvalHook', 'DistEvalHook', 'Sequential',
-    'ModuleList', 'GradientCumulativeOptimizerHook',
-    'GradientCumulativeFp16OptimizerHook', 'DefaultRunnerConstructor'
-]
diff --git a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmdet_null/core/export/pytorch2onnx.py b/spaces/abhishek/sketch-to-image/annotator/uniformer/mmdet_null/core/export/pytorch2onnx.py
deleted file mode 100644
index 809a817e67446b3c0c7894dcefb3c4bbc29afb7e..0000000000000000000000000000000000000000
--- a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmdet_null/core/export/pytorch2onnx.py
+++ /dev/null
@@ -1,154 +0,0 @@
-from functools import partial
-
-import mmcv
-import numpy as np
-import torch
-from mmcv.runner import load_checkpoint
-
-
-def generate_inputs_and_wrap_model(config_path,
-                                   checkpoint_path,
-                                   input_config,
-                                   cfg_options=None):
-    """Prepare sample input and wrap model for ONNX export.
-
-    The ONNX export API only accept args, and all inputs should be
-    torch.Tensor or corresponding types (such as tuple of tensor).
-    So we should call this function before exporting. This function will:
-
-    1. generate corresponding inputs which are used to execute the model.
-    2. Wrap the model's forward function.
-
-    For example, the MMDet models' forward function has a parameter
-    ``return_loss:bool``. As we want to set it as False while export API
-    supports neither bool type or kwargs. So we have to replace the forward
-    like: ``model.forward = partial(model.forward, return_loss=False)``
-
-    Args:
-        config_path (str): the OpenMMLab config for the model we want to
-            export to ONNX
-        checkpoint_path (str): Path to the corresponding checkpoint
-        input_config (dict): the exactly data in this dict depends on the
-            framework. For MMSeg, we can just declare the input shape,
-            and generate the dummy data accordingly. However, for MMDet,
-            we may pass the real img path, or the NMS will return None
-            as there is no legal bbox.
-
-    Returns:
-        tuple: (model, tensor_data) wrapped model which can be called by \
-        model(*tensor_data) and a list of inputs which are used to execute \
-            the model while exporting.
-    """
-
-    model = build_model_from_cfg(
-        config_path, checkpoint_path, cfg_options=cfg_options)
-    one_img, one_meta = preprocess_example_input(input_config)
-    tensor_data = [one_img]
-    model.forward = partial(
-        model.forward, img_metas=[[one_meta]], return_loss=False)
-
-    # pytorch has some bug in pytorch1.3, we have to fix it
-    # by replacing these existing op
-    opset_version = 11
-    # put the import within the function thus it will not cause import error
-    # when not using this function
-    try:
-        from mmcv.onnx.symbolic import register_extra_symbolics
-    except ModuleNotFoundError:
-        raise NotImplementedError('please update mmcv to version>=v1.0.4')
-    register_extra_symbolics(opset_version)
-
-    return model, tensor_data
-
-
-def build_model_from_cfg(config_path, checkpoint_path, cfg_options=None):
-    """Build a model from config and load the given checkpoint.
-
-    Args:
-        config_path (str): the OpenMMLab config for the model we want to
-            export to ONNX
-        checkpoint_path (str): Path to the corresponding checkpoint
-
-    Returns:
-        torch.nn.Module: the built model
-    """
-    from mmdet.models import build_detector
-
-    cfg = mmcv.Config.fromfile(config_path)
-    if cfg_options is not None:
-        cfg.merge_from_dict(cfg_options)
-    # import modules from string list.
-    if cfg.get('custom_imports', None):
-        from mmcv.utils import import_modules_from_strings
-        import_modules_from_strings(**cfg['custom_imports'])
-    # set cudnn_benchmark
-    if cfg.get('cudnn_benchmark', False):
-        torch.backends.cudnn.benchmark = True
-    cfg.model.pretrained = None
-    cfg.data.test.test_mode = True
-
-    # build the model
-    cfg.model.train_cfg = None
-    model = build_detector(cfg.model, test_cfg=cfg.get('test_cfg'))
-    load_checkpoint(model, checkpoint_path, map_location='cpu')
-    model.cpu().eval()
-    return model
-
-
-def preprocess_example_input(input_config):
-    """Prepare an example input image for ``generate_inputs_and_wrap_model``.
-
-    Args:
-        input_config (dict): customized config describing the example input.
-
-    Returns:
-        tuple: (one_img, one_meta), tensor of the example input image and \
-            meta information for the example input image.
-
-    Examples:
-        >>> from mmdet.core.export import preprocess_example_input
-        >>> input_config = {
-        >>>         'input_shape': (1,3,224,224),
-        >>>         'input_path': 'demo/demo.jpg',
-        >>>         'normalize_cfg': {
-        >>>             'mean': (123.675, 116.28, 103.53),
-        >>>             'std': (58.395, 57.12, 57.375)
-        >>>             }
-        >>>         }
-        >>> one_img, one_meta = preprocess_example_input(input_config)
-        >>> print(one_img.shape)
-        torch.Size([1, 3, 224, 224])
-        >>> print(one_meta)
-        {'img_shape': (224, 224, 3),
-        'ori_shape': (224, 224, 3),
-        'pad_shape': (224, 224, 3),
-        'filename': '<demo>.png',
-        'scale_factor': 1.0,
-        'flip': False}
-    """
-    input_path = input_config['input_path']
-    input_shape = input_config['input_shape']
-    one_img = mmcv.imread(input_path)
-    one_img = mmcv.imresize(one_img, input_shape[2:][::-1])
-    show_img = one_img.copy()
-    if 'normalize_cfg' in input_config.keys():
-        normalize_cfg = input_config['normalize_cfg']
-        mean = np.array(normalize_cfg['mean'], dtype=np.float32)
-        std = np.array(normalize_cfg['std'], dtype=np.float32)
-        to_rgb = normalize_cfg.get('to_rgb', True)
-        one_img = mmcv.imnormalize(one_img, mean, std, to_rgb=to_rgb)
-    one_img = one_img.transpose(2, 0, 1)
-    one_img = torch.from_numpy(one_img).unsqueeze(0).float().requires_grad_(
-        True)
-    (_, C, H, W) = input_shape
-    one_meta = {
-        'img_shape': (H, W, C),
-        'ori_shape': (H, W, C),
-        'pad_shape': (H, W, C),
-        'filename': '<demo>.png',
-        'scale_factor': 1.0,
-        'flip': False,
-        'show_img': show_img,
-    }
-
-    return one_img, one_meta
diff --git a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmseg/core/seg/sampler/__init__.py b/spaces/abhishek/sketch-to-image/annotator/uniformer/mmseg/core/seg/sampler/__init__.py
deleted file mode 100644
index 332b242c03d1c5e80d4577df442a9a037b1816e1..0000000000000000000000000000000000000000
--- a/spaces/abhishek/sketch-to-image/annotator/uniformer/mmseg/core/seg/sampler/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from .base_pixel_sampler import BasePixelSampler
-from .ohem_pixel_sampler import OHEMPixelSampler
-
-__all__ = ['BasePixelSampler', 'OHEMPixelSampler']
diff --git a/spaces/abhishek/sketch-to-image/annotator/uniformer_base/mmcv/runner/base_module.py b/spaces/abhishek/sketch-to-image/annotator/uniformer_base/mmcv/runner/base_module.py
deleted file mode 100644
index 617fad9bb89f10a9a0911d962dfb3bc8f3a3628c..0000000000000000000000000000000000000000
--- a/spaces/abhishek/sketch-to-image/annotator/uniformer_base/mmcv/runner/base_module.py
+++ /dev/null
@@ -1,195 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-import copy
-import warnings
-from abc import ABCMeta
-from collections import defaultdict
-from logging import FileHandler
-
-import torch.nn as nn
-
-from annotator.uniformer.mmcv.runner.dist_utils import master_only
-from annotator.uniformer.mmcv.utils.logging import get_logger, logger_initialized, print_log
-
-
-class BaseModule(nn.Module, metaclass=ABCMeta):
-    """Base module for all modules in openmmlab.
-
-    ``BaseModule`` is a wrapper of ``torch.nn.Module`` with additional
-    functionality of parameter initialization. Compared with
-    ``torch.nn.Module``, ``BaseModule`` mainly adds three attributes.
-
-        - ``init_cfg``: the config to control the initialization.
-        - ``init_weights``: The function of parameter
-            initialization and recording initialization
-            information.
-        - ``_params_init_info``: Used to track the parameter
-            initialization information. This attribute only
-            exists during executing the ``init_weights``.
-
-    Args:
-        init_cfg (dict, optional): Initialization config dict.
-    """
-
-    def __init__(self, init_cfg=None):
-        """Initialize BaseModule, inherited from `torch.nn.Module`"""
-
-        # NOTE init_cfg can be defined in different levels, but init_cfg
-        # in low levels has a higher priority.
-
-        super(BaseModule, self).__init__()
-        # define default value of init_cfg instead of hard code
-        # in init_weights() function
-        self._is_init = False
-
-        self.init_cfg = copy.deepcopy(init_cfg)
-
-        # Backward compatibility in derived classes
-        # if pretrained is not None:
-        #     warnings.warn('DeprecationWarning: pretrained is a deprecated \
-        #         key, please consider using init_cfg')
-        #     self.init_cfg = dict(type='Pretrained', checkpoint=pretrained)
-
-    @property
-    def is_init(self):
-        return self._is_init
-
-    def init_weights(self):
-        """Initialize the weights."""
-
-        is_top_level_module = False
-        # check if it is top-level module
-        if not hasattr(self, '_params_init_info'):
-            # The `_params_init_info` is used to record the initialization
-            # information of the parameters
-            # the key should be the obj:`nn.Parameter` of model and the value
-            # should be a dict containing
-            # - init_info (str): The string that describes the initialization.
-            # - tmp_mean_value (FloatTensor): The mean of the parameter,
-            #       which indicates whether the parameter has been modified.
-            # this attribute would be deleted after all parameters
-            # is initialized.
-            self._params_init_info = defaultdict(dict)
-            is_top_level_module = True
-
-            # Initialize the `_params_init_info`,
-            # When detecting the `tmp_mean_value` of
-            # the corresponding parameter is changed, update related
-            # initialization information
-            for name, param in self.named_parameters():
-                self._params_init_info[param][
-                    'init_info'] = f'The value is the same before and ' \
-                                   f'after calling `init_weights` ' \
-                                   f'of {self.__class__.__name__} '
-                self._params_init_info[param][
-                    'tmp_mean_value'] = param.data.mean()
-
-            # pass `params_init_info` to all submodules
-            # All submodules share the same `params_init_info`,
-            # so it will be updated when parameters are
-            # modified at any level of the model.
-            for sub_module in self.modules():
-                sub_module._params_init_info = self._params_init_info
-
-        # Get the initialized logger, if not exist,
-        # create a logger named `mmcv`
-        logger_names = list(logger_initialized.keys())
-        logger_name = logger_names[0] if logger_names else 'mmcv'
-
-        from ..cnn import initialize
-        from ..cnn.utils.weight_init import update_init_info
-        module_name = self.__class__.__name__
-        if not self._is_init:
-            if self.init_cfg:
-                print_log(
-                    f'initialize {module_name} with init_cfg {self.init_cfg}',
-                    logger=logger_name)
-                initialize(self, self.init_cfg)
-                if isinstance(self.init_cfg, dict):
-                    # prevent the parameters of
-                    # the pre-trained model
-                    # from being overwritten by
-                    # the `init_weights`
-                    if self.init_cfg['type'] == 'Pretrained':
-                        return
-
-            for m in self.children():
-                if hasattr(m, 'init_weights'):
-                    m.init_weights()
-                    # users may overload the `init_weights`
-                    update_init_info(
-                        m,
-                        init_info=f'Initialized by '
-                        f'user-defined `init_weights`'
-                        f' in {m.__class__.__name__} ')
-
-            self._is_init = True
-        else:
-            warnings.warn(f'init_weights of {self.__class__.__name__} has '
-                          f'been called more than once.')
-
-        if is_top_level_module:
-            self._dump_init_info(logger_name)
-
-            for sub_module in self.modules():
-                del sub_module._params_init_info
-
-    @master_only
-    def _dump_init_info(self, logger_name):
-        """Dump the initialization information to a file named
-        `initialization.log.json` in workdir.
-
-        Args:
-            logger_name (str): The name of logger.
-        """
-
-        logger = get_logger(logger_name)
-
-        with_file_handler = False
-        # dump the information to the logger file if there is a `FileHandler`
-        for handler in logger.handlers:
-            if isinstance(handler, FileHandler):
-                handler.stream.write(
-                    'Name of parameter - Initialization information\n')
-                for name, param in self.named_parameters():
-                    handler.stream.write(
-                        f'\n{name} - {param.shape}: '
-                        f"\n{self._params_init_info[param]['init_info']} \n")
-                handler.stream.flush()
-                with_file_handler = True
-        if not with_file_handler:
-            for name, param in self.named_parameters():
-                print_log(
-                    f'\n{name} - {param.shape}: '
-                    f"\n{self._params_init_info[param]['init_info']} \n ",
-                    logger=logger_name)
-
-    def __repr__(self):
-        s = super().__repr__()
-        if self.init_cfg:
-            s += f'\ninit_cfg={self.init_cfg}'
-        return s
-
-
-class Sequential(BaseModule, nn.Sequential):
-    """Sequential module in openmmlab.
-
-    Args:
-        init_cfg (dict, optional): Initialization config dict.
-    """
-
-    def __init__(self, *args, init_cfg=None):
-        BaseModule.__init__(self, init_cfg)
-        nn.Sequential.__init__(self, *args)
-
-
-class ModuleList(BaseModule, nn.ModuleList):
-    """ModuleList in openmmlab.
-
-    Args:
-        modules (iterable, optional): an iterable of modules to add.
-        init_cfg (dict, optional): Initialization config dict.
-    """
-
-    def __init__(self, modules=None, init_cfg=None):
-        BaseModule.__init__(self, init_cfg)
-        nn.ModuleList.__init__(self, modules)
diff --git a/spaces/abhishek/sketch-to-image/annotator/uniformer_base/mmcv/video/io.py b/spaces/abhishek/sketch-to-image/annotator/uniformer_base/mmcv/video/io.py
deleted file mode 100644
index 9879154227f640c262853b92c219461c6f67ee8e..0000000000000000000000000000000000000000
--- a/spaces/abhishek/sketch-to-image/annotator/uniformer_base/mmcv/video/io.py
+++ /dev/null
@@ -1,318 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-import os.path as osp
-from collections import OrderedDict
-
-import cv2
-from cv2 import (CAP_PROP_FOURCC, CAP_PROP_FPS, CAP_PROP_FRAME_COUNT,
-                 CAP_PROP_FRAME_HEIGHT, CAP_PROP_FRAME_WIDTH,
-                 CAP_PROP_POS_FRAMES, VideoWriter_fourcc)
-
-from annotator.uniformer.mmcv.utils import (check_file_exist, mkdir_or_exist, scandir,
-                        track_progress)
-
-
-class Cache:
-
-    def __init__(self, capacity):
-        self._cache = OrderedDict()
-        self._capacity = int(capacity)
-        if capacity <= 0:
-            raise ValueError('capacity must be a positive integer')
-
-    @property
-    def capacity(self):
-        return self._capacity
-
-    @property
-    def size(self):
-        return len(self._cache)
-
-    def put(self, key, val):
-        if key in self._cache:
-            return
-        if len(self._cache) >= self.capacity:
-            self._cache.popitem(last=False)
-        self._cache[key] = val
-
-    def get(self, key, default=None):
-        val = self._cache[key] if key in self._cache else default
-        return val
-
-
-class VideoReader:
-    """Video class with similar usage to a list object.
-
-    This video warpper class provides convenient apis to access frames.
-    There exists an issue of OpenCV's VideoCapture class that jumping to a
-    certain frame may be inaccurate. It is fixed in this class by checking
-    the position after jumping each time.
-    Cache is used when decoding videos. So if the same frame is visited for
-    the second time, there is no need to decode again if it is stored in the
-    cache.
-
-    :Example:
-
-    >>> import annotator.uniformer.mmcv as mmcv
-    >>> v = mmcv.VideoReader('sample.mp4')
-    >>> len(v)  # get the total frame number with `len()`
-    120
-    >>> for img in v:  # v is iterable
-    >>>     mmcv.imshow(img)
-    >>> v[5]  # get the 6th frame
-    """
-
-    def __init__(self, filename, cache_capacity=10):
-        # Check whether the video path is a url
-        if not filename.startswith(('https://', 'http://')):
-            check_file_exist(filename, 'Video file not found: ' + filename)
-        self._vcap = cv2.VideoCapture(filename)
-        assert cache_capacity > 0
-        self._cache = Cache(cache_capacity)
-        self._position = 0
-        # get basic info
-        self._width = int(self._vcap.get(CAP_PROP_FRAME_WIDTH))
-        self._height = int(self._vcap.get(CAP_PROP_FRAME_HEIGHT))
-        self._fps = self._vcap.get(CAP_PROP_FPS)
-        self._frame_cnt = int(self._vcap.get(CAP_PROP_FRAME_COUNT))
-        self._fourcc = self._vcap.get(CAP_PROP_FOURCC)
-
-    @property
-    def vcap(self):
-        """:obj:`cv2.VideoCapture`: The raw VideoCapture object."""
-        return self._vcap
-
-    @property
-    def opened(self):
-        """bool: Indicate whether the video is opened."""
-        return self._vcap.isOpened()
-
-    @property
-    def width(self):
-        """int: Width of video frames."""
-        return self._width
-
-    @property
-    def height(self):
-        """int: Height of video frames."""
-        return self._height
-
-    @property
-    def resolution(self):
-        """tuple: Video resolution (width, height)."""
-        return (self._width, self._height)
-
-    @property
-    def fps(self):
-        """float: FPS of the video."""
-        return self._fps
-
-    @property
-    def frame_cnt(self):
-        """int: Total frames of the video."""
-        return self._frame_cnt
-
-    @property
-    def fourcc(self):
-        """str: "Four character code" of the video."""
-        return self._fourcc
-
-    @property
-    def position(self):
-        """int: Current cursor position, indicating frame decoded."""
-        return self._position
-
-    def _get_real_position(self):
-        return int(round(self._vcap.get(CAP_PROP_POS_FRAMES)))
-
-    def _set_real_position(self, frame_id):
-        self._vcap.set(CAP_PROP_POS_FRAMES, frame_id)
-        pos = self._get_real_position()
-        for _ in range(frame_id - pos):
-            self._vcap.read()
-        self._position = frame_id
-
-    def read(self):
-        """Read the next frame.
-
-        If the next frame have been decoded before and in the cache, then
-        return it directly, otherwise decode, cache and return it.
-
-        Returns:
-            ndarray or None: Return the frame if successful, otherwise None.
-        """
-        # pos = self._position
-        if self._cache:
-            img = self._cache.get(self._position)
-            if img is not None:
-                ret = True
-            else:
-                if self._position != self._get_real_position():
-                    self._set_real_position(self._position)
-                ret, img = self._vcap.read()
-                if ret:
-                    self._cache.put(self._position, img)
-        else:
-            ret, img = self._vcap.read()
-        if ret:
-            self._position += 1
-        return img
-
-    def get_frame(self, frame_id):
-        """Get frame by index.
-
-        Args:
-            frame_id (int): Index of the expected frame, 0-based.
-
-        Returns:
-            ndarray or None: Return the frame if successful, otherwise None.
-        """
-        if frame_id < 0 or frame_id >= self._frame_cnt:
-            raise IndexError(
-                f'"frame_id" must be between 0 and {self._frame_cnt - 1}')
-        if frame_id == self._position:
-            return self.read()
-        if self._cache:
-            img = self._cache.get(frame_id)
-            if img is not None:
-                self._position = frame_id + 1
-                return img
-        self._set_real_position(frame_id)
-        ret, img = self._vcap.read()
-        if ret:
-            if self._cache:
-                self._cache.put(self._position, img)
-            self._position += 1
-        return img
-
-    def current_frame(self):
-        """Get the current frame (frame that is just visited).
-
-        Returns:
-            ndarray or None: If the video is fresh, return None, otherwise
-                return the frame.
-        """
-        if self._position == 0:
-            return None
-        return self._cache.get(self._position - 1)
-
-    def cvt2frames(self,
-                   frame_dir,
-                   file_start=0,
-                   filename_tmpl='{:06d}.jpg',
-                   start=0,
-                   max_num=0,
-                   show_progress=True):
-        """Convert a video to frame images.
-
-        Args:
-            frame_dir (str): Output directory to store all the frame images.
-            file_start (int): Filenames will start from the specified number.
-            filename_tmpl (str): Filename template with the index as the
-                placeholder.
-            start (int): The starting frame index.
-            max_num (int): Maximum number of frames to be written.
-            show_progress (bool): Whether to show a progress bar.
-        """
-        mkdir_or_exist(frame_dir)
-        if max_num == 0:
-            task_num = self.frame_cnt - start
-        else:
-            task_num = min(self.frame_cnt - start, max_num)
-        if task_num <= 0:
-            raise ValueError('start must be less than total frame number')
-        if start > 0:
-            self._set_real_position(start)
-
-        def write_frame(file_idx):
-            img = self.read()
-            if img is None:
-                return
-            filename = osp.join(frame_dir, filename_tmpl.format(file_idx))
-            cv2.imwrite(filename, img)
-
-        if show_progress:
-            track_progress(write_frame, range(file_start,
-                                              file_start + task_num))
-        else:
-            for i in range(task_num):
-                write_frame(file_start + i)
-
-    def __len__(self):
-        return self.frame_cnt
-
-    def __getitem__(self, index):
-        if isinstance(index, slice):
-            return [
-                self.get_frame(i)
-                for i in range(*index.indices(self.frame_cnt))
-            ]
-        # support negative indexing
-        if index < 0:
-            index += self.frame_cnt
-            if index < 0:
-                raise IndexError('index out of range')
-        return self.get_frame(index)
-
-    def __iter__(self):
-        self._set_real_position(0)
-        return self
-
-    def __next__(self):
-        img = self.read()
-        if img is not None:
-            return img
-        else:
-            raise StopIteration
-
-    next = __next__
-
-    def __enter__(self):
-        return self
-
-    def __exit__(self, exc_type, exc_value, traceback):
-        self._vcap.release()
-
-
-def frames2video(frame_dir,
-                 video_file,
-                 fps=30,
-                 fourcc='XVID',
-                 filename_tmpl='{:06d}.jpg',
-                 start=0,
-                 end=0,
-                 show_progress=True):
-    """Read the frame images from a directory and join them as a video.
-
-    Args:
-        frame_dir (str): The directory containing video frames.
-        video_file (str): Output filename.
-        fps (float): FPS of the output video.
-        fourcc (str): Fourcc of the output video, this should be compatible
-            with the output file type.
-        filename_tmpl (str): Filename template with the index as the variable.
-        start (int): Starting frame index.
-        end (int): Ending frame index.
-        show_progress (bool): Whether to show a progress bar.
-    """
-    if end == 0:
-        ext = filename_tmpl.split('.')[-1]
-        end = len([name for name in scandir(frame_dir, ext)])
-    first_file = osp.join(frame_dir, filename_tmpl.format(start))
-    check_file_exist(first_file, 'The start frame not found: ' + first_file)
-    img = cv2.imread(first_file)
-    height, width = img.shape[:2]
-    resolution = (width, height)
-    vwriter = cv2.VideoWriter(video_file, VideoWriter_fourcc(*fourcc), fps,
-                              resolution)
-
-    def write_frame(file_idx):
-        filename = osp.join(frame_dir, filename_tmpl.format(file_idx))
-        img = cv2.imread(filename)
-        vwriter.write(img)
-
-    if show_progress:
-        track_progress(write_frame, range(start, end))
-    else:
-        for i in range(start, end):
-            write_frame(i)
-    vwriter.release()
diff --git a/spaces/abrar-lohia/text-2-character-anim/pyrender/.eggs/pyglet-2.0.5-py3.10.egg/pyglet/text/layout.py b/spaces/abrar-lohia/text-2-character-anim/pyrender/.eggs/pyglet-2.0.5-py3.10.egg/pyglet/text/layout.py
deleted file mode 100644
index d3268de3af3a2097273d7d78cff136d6075671c6..0000000000000000000000000000000000000000
--- a/spaces/abrar-lohia/text-2-character-anim/pyrender/.eggs/pyglet-2.0.5-py3.10.egg/pyglet/text/layout.py
+++ /dev/null
@@ -1,2796 +0,0 @@
-"""Render simple text and formatted documents efficiently.
-
-Three layout classes are provided:
-
-:py:class:`~pyglet.text.layout.TextLayout`
-    The entire document is laid out before it is rendered.  The layout will
-    be grouped with other layouts in the same batch (allowing for efficient
-    rendering of multiple layouts).
-
-    Any change to the layout or document,
-    and even querying some properties, will cause the entire document
-    to be laid out again.
-
-:py:class:`~pyglet.text.layout.ScrollableTextLayout`
-    Based on :py:func:`~pyglet.text.layout.TextLayout`.
-
-    A separate group is used for layout which crops the contents of the
-    layout to the layout rectangle.  Additionally, the contents of the
-    layout can be "scrolled" within that rectangle with the ``view_x`` and
-    ``view_y`` properties.
-
-:py:class:`~pyglet.text.layout.IncrementalTextLayout`
-    Based on :py:class:`~pyglet.text.layout.ScrollableTextLayout`.
-
-    When the layout or document are modified, only the affected regions
-    are laid out again.  This permits efficient interactive editing and
-    styling of text.
-
-    Only the visible portion of the layout is actually rendered; as the
-    viewport is scrolled additional sections are rendered and discarded as
-    required.  This permits efficient viewing and editing of large documents.
-
-    Additionally, this class provides methods for locating the position of a
-    caret in the document, and for displaying interactive text selections.
-
-All three layout classes can be used with either :py:class:`~pyglet.text.document.UnformattedDocument` or
-:py:class:`~pyglet.text.document.FormattedDocument`, and can be either single-line or ``multiline``.  The
-combinations of these options effectively provides 12 different text display
-possibilities.
-
-Style attributes
-================
-
-The following character style attribute names are recognised by the layout
-classes.  Data types and units are as specified.
-
-Where an attribute is marked "as a distance" the value is assumed to be
-in pixels if given as an int or float, otherwise a string of the form
-``"0u"`` is required, where ``0`` is the distance and ``u`` is the unit; one
-of ``"px"`` (pixels), ``"pt"`` (points), ``"pc"`` (picas), ``"cm"``
-(centimeters), ``"mm"`` (millimeters) or ``"in"`` (inches).  For example,
-``"14pt"`` is the distance covering 14 points, which at the default DPI of 96
-is 18 pixels.
-
-``font_name``
-    Font family name, as given to :py:func:`pyglet.font.load`.
-``font_size``
-    Font size, in points.
-``bold``
-    Boolean.
-``italic``
-    Boolean.
-``underline``
-    4-tuple of ints in range (0, 255) giving RGBA underline color, or None
-    (default) for no underline.
-``kerning``
-    Additional space to insert between glyphs, as a distance.  Defaults to 0.
-``baseline``
-    Offset of glyph baseline from line baseline, as a distance.  Positive
-    values give a superscript, negative values give a subscript.  Defaults to
-    0.
-``color``
-    4-tuple of ints in range (0, 255) giving RGBA text color
-``background_color``
-    4-tuple of ints in range (0, 255) giving RGBA text background color; or
-    ``None`` for no background fill.
-
-The following paragraph style attribute names are recognised.  Note
-that paragraph styles are handled no differently from character styles by the
-document: it is the application's responsibility to set the style over an
-entire paragraph, otherwise results are undefined.
-
-``align``
-    ``left`` (default), ``center`` or ``right``.
-``indent``
-    Additional horizontal space to insert before the first glyph of the
-    first line of a paragraph, as a distance.
-``leading``
-    Additional space to insert between consecutive lines within a paragraph,
-    as a distance.  Defaults to 0.
-``line_spacing``
-    Distance between consecutive baselines in a paragraph, as a distance.
-    Defaults to ``None``, which automatically calculates the tightest line
-    spacing for each line based on the font ascent and descent.
-``margin_left``
-    Left paragraph margin, as a distance.
-``margin_right``
-    Right paragraph margin, as a distance.
-``margin_top``
-    Margin above paragraph, as a distance.
-``margin_bottom``
-    Margin below paragraph, as a distance.  Adjacent margins do not collapse.
-``tab_stops``
-    List of horizontal tab stops, as distances, measured from the left edge of
-    the text layout.  Defaults to the empty list.  When the tab stops
-    are exhausted, they implicitly continue at 50 pixel intervals.
-``wrap``
-    ``char``, ``word``, True (default) or False.  The boundaries at which to
-    wrap text to prevent it overflowing a line.  With ``char``, the line
-    wraps anywhere in the text; with ``word`` or True, the line wraps at
-    appropriate boundaries between words; with False the line does not wrap,
-    and may overflow the layout width.  ``char`` and ``word`` styles are
-    since pyglet 1.2.
-
-Other attributes can be used to store additional style information within the
-document; they will be ignored by the built-in text classes.
-
-.. versionadded:: 1.1
-"""
-
-import re
-import sys
-
-import pyglet
-
-from pyglet import graphics
-from pyglet.gl import *
-from pyglet.event import EventDispatcher
-from pyglet.text import runlist
-from pyglet.graphics import shader
-from pyglet.font.base import grapheme_break
-
-_is_pyglet_doc_run = hasattr(sys, "is_pyglet_doc_run") and sys.is_pyglet_doc_run
-
-_distance_re = re.compile(r'([-0-9.]+)([a-zA-Z]+)')
-
-
-def _parse_distance(distance, dpi):
-    """Parse a distance string and return corresponding distance in pixels as
-    an integer.
-    """
-    if isinstance(distance, int):
-        return distance
-    elif isinstance(distance, float):
-        return int(distance)
-
-    match = _distance_re.match(distance)
-    assert match, f'Could not parse distance {distance}'
-    if not match:
-        return 0
-
-    value, unit = match.groups()
-    value = float(value)
-    if unit == 'px':
-        return int(value)
-    elif unit == 'pt':
-        return int(value * dpi / 72.0)
-    elif unit == 'pc':
-        return int(value * dpi / 6.0)
-    elif unit == 'in':
-        return int(value * dpi)
-    elif unit == 'mm':
-        return int(value * dpi * 0.0393700787)
-    elif unit == 'cm':
-        return int(value * dpi * 0.393700787)
-    else:
-        assert False, f'Unknown distance unit {unit}'
-
-
-class _Line:
-    align = 'left'
-
-    margin_left = 0
-    margin_right = 0
-
-    length = 0
-
-    ascent = 0
-    descent = 0
-    width = 0
-    paragraph_begin = False
-    paragraph_end = False
-
-    x = None
-    y = None
-
-    def __init__(self, start):
-        self.vertex_lists = []
-        self.start = start
-        self.boxes = []
-
-    def __repr__(self):
-        return f'_Line({self.boxes})'
-
-    def add_box(self, box):
-        self.boxes.append(box)
-        self.length += box.length
-        self.ascent = max(self.ascent, box.ascent)
-        self.descent = min(self.descent, box.descent)
-        self.width += box.advance
-
-    def delete(self, layout):
-        for vertex_list in self.vertex_lists:
-            vertex_list.delete()
-        self.vertex_lists = []
-
-        for box in self.boxes:
-            box.delete(layout)
-
-
-class _LayoutContext:
-    def __init__(self, layout, document, colors_iter, background_iter):
-        self.colors_iter = colors_iter
-        underline_iter = document.get_style_runs('underline')
-        self.decoration_iter = runlist.ZipRunIterator((background_iter, underline_iter))
-        self.baseline_iter = runlist.FilteredRunIterator(
-            document.get_style_runs('baseline'),
-            lambda value: value is not None, 0)
-
-
-class _StaticLayoutContext(_LayoutContext):
-    def __init__(self, layout, document, colors_iter, background_iter):
-        super().__init__(layout, document, colors_iter, background_iter)
-        self.vertex_lists = layout._vertex_lists
-        self.boxes = layout._boxes
-
-    def add_list(self, vertex_list):
-        self.vertex_lists.append(vertex_list)
-
-    def add_box(self, box):
-        self.boxes.append(box)
-
-
-class _IncrementalLayoutContext(_LayoutContext):
-    line = None
-
-    def add_list(self, vertex_list):
-        self.line.vertex_lists.append(vertex_list)
-
-    def add_box(self, box):
-        pass
-
-
-class _AbstractBox:
-    owner = None
-
-    def __init__(self, ascent, descent, advance, length):
-        self.ascent = ascent
-        self.descent = descent
-        self.advance = advance
-        self.length = length
-
-    def place(self, layout, i, x, y, z, rotation, anchor_x, anchor_y, context):
-        raise NotImplementedError('abstract')
-
-    def delete(self, layout):
-        raise NotImplementedError('abstract')
-
-    def get_position_in_box(self, x):
-        raise NotImplementedError('abstract')
-
-    def get_point_in_box(self, position):
-        raise NotImplementedError('abstract')
-
-
-class _GlyphBox(_AbstractBox):
-    def __init__(self, owner, font, glyphs, advance):
-        """Create a run of glyphs sharing the same texture.
-
-        :Parameters:
-            `owner` : `pyglet.image.Texture`
-                Texture of all glyphs in this run.
-            `font` : `pyglet.font.base.Font`
-                Font of all glyphs in this run.
-            `glyphs` : list of (int, `pyglet.font.base.Glyph`)
-                Pairs of ``(kern, glyph)``, where ``kern`` gives horizontal
-                displacement of the glyph in pixels (typically 0).
-            `advance` : int
-                Width of glyph run; must correspond to the sum of advances
-                and kerns in the glyph list.
-
-        """
-        super().__init__(font.ascent, font.descent, advance, len(glyphs))
-        assert owner
-        self.owner = owner
-        self.font = font
-        self.glyphs = glyphs
-        self.advance = advance
-
-    def place(self, layout, i, x, y, z, rotation, anchor_x, anchor_y, context):
-        assert self.glyphs
-        program = get_default_layout_shader()
-
-        try:
-            group = layout.group_cache[self.owner]
-        except KeyError:
-            group = layout.group_class(self.owner, program, order=1, parent=layout.group)
-            layout.group_cache[self.owner] = group
-
-        n_glyphs = self.length
-        vertices = []
-        tex_coords = []
-        baseline = 0
-        x1 = x
-        for start, end, baseline in context.baseline_iter.ranges(i, i + n_glyphs):
-            baseline = layout.parse_distance(baseline)
-            assert len(self.glyphs[start - i:end - i]) == end - start
-            for kern, glyph in self.glyphs[start - i:end - i]:
-                x1 += kern
-                v0, v1, v2, v3 = glyph.vertices
-                v0 += x1
-                v2 += x1
-                v1 += y + baseline
-                v3 += y + baseline
-                vertices.extend(map(round, [v0, v1, z, v2, v1, z, v2, v3, z, v0, v3, z]))
-                t = glyph.tex_coords
-                tex_coords.extend(t)
-                x1 += glyph.advance
-
-        # Text color
-        colors = []
-        for start, end, color in context.colors_iter.ranges(i, i + n_glyphs):
-            if color is None:
-                color = (0, 0, 0, 255)
-            if len(color) != 4:
-                raise ValueError("Color requires 4 values (R, G, B, A). Value received: {}".format(color))
-            colors.extend(color * ((end - start) * 4))
-
-        indices = []
-        # Create indices for each glyph quad:
-        for glyph_idx in range(n_glyphs):
-            indices.extend([element + (glyph_idx * 4) for element in [0, 1, 2, 0, 2, 3]])
-
-        vertex_list = program.vertex_list_indexed(n_glyphs * 4, GL_TRIANGLES, indices, layout.batch, group,
-                                                  position=('f', vertices),
-                                                  colors=('Bn', colors),
-                                                  tex_coords=('f', tex_coords),
-                                                  rotation=('f', ((rotation,) * 4) * n_glyphs),
-                                                  anchor=('f', ((anchor_x, anchor_y) * 4) * n_glyphs))
-        context.add_list(vertex_list)
-
-        # Decoration (background color and underline)
-        # -------------------------------------------
-        # Should iterate over baseline too, but in practice any sensible
-        # change in baseline will correspond with a change in font size,
-        # and thus glyph run as well.  So we cheat and just use whatever
-        # baseline was seen last.
-        background_vertices = []
-        background_colors = []
-        underline_vertices = []
-        underline_colors = []
-        y1 = y + self.descent + baseline
-        y2 = y + self.ascent + baseline
-        x1 = x
-
-        for start, end, decoration in context.decoration_iter.ranges(i, i + n_glyphs):
-            bg, underline = decoration
-            x2 = x1
-            for kern, glyph in self.glyphs[start - i:end - i]:
-                x2 += glyph.advance + kern
-
-            if bg is not None:
-                if len(bg) != 4:
-                    raise ValueError(f"Background color requires 4 values (R, G, B, A). Value received: {bg}")
-
-                background_vertices.extend([x1, y1, z, x2, y1, z, x2, y2, z, x1, y2, z])
-                background_colors.extend(bg * 4)
-
-            if underline is not None:
-                if len(underline) != 4:
-                    raise ValueError(f"Underline color requires 4 values (R, G, B, A). Value received: {underline}")
-
-                underline_vertices.extend([x1, y + baseline - 2, z, x2, y + baseline - 2, z])
-                underline_colors.extend(underline * 2)
-
-            x1 = x2
-
-        if background_vertices:
-            background_indices = []
-            bg_count = len(background_vertices) // 2
-            decoration_program = get_default_decoration_shader()
-            for bg_idx in range(bg_count):
-                background_indices.extend([element + (bg_idx * 4) for element in [0, 1, 2, 0, 2, 3]])
-
-            background_list = decoration_program.vertex_list_indexed(bg_count * 4, GL_TRIANGLES, background_indices,
-                                                                     layout.batch, layout.background_decoration_group,
-                                                                     position=('f', background_vertices),
-                                                                     colors=('Bn', background_colors),
-                                                                     rotation=('f', (rotation,) * 4),
-                                                                     anchor=('f', (anchor_x, anchor_y) * 4))
-            context.add_list(background_list)
-
-        if underline_vertices:
-            ul_count = len(underline_vertices) // 3
-            decoration_program = get_default_decoration_shader()
-            underline_list = decoration_program.vertex_list(ul_count, GL_LINES,
-                                                            layout.batch, layout.foreground_decoration_group,
-                                                            position=('f', underline_vertices),
-                                                            colors=('Bn', underline_colors),
-                                                            rotation=('f', (rotation,) * ul_count),
-                                                            anchor=('f', (anchor_x, anchor_y) * ul_count))
-            context.add_list(underline_list)
-
-    def delete(self, layout):
-        pass
-
-    def get_point_in_box(self, position):
-        x = 0
-        for (kern, glyph) in self.glyphs:
-            if position == 0:
-                break
-            position -= 1
-            x += glyph.advance + kern
-        return x
-
-    def get_position_in_box(self, x):
-        position = 0
-        last_glyph_x = 0
-        for kern, glyph in self.glyphs:
-            last_glyph_x += kern
-            if last_glyph_x + glyph.advance // 2 > x:
-                return position
-            position += 1
-            last_glyph_x += glyph.advance
-        return position
-
-    def __repr__(self):
-        return f'_GlyphBox({self.glyphs})'
-
-
-class _InlineElementBox(_AbstractBox):
-    def __init__(self, element):
-        """Create a glyph run holding a single element.
-        """
-        super().__init__(element.ascent, element.descent, element.advance, 1)
-        self.element = element
-        self.placed = False
-
-    def place(self, layout, i, x, y, z, rotation, anchor_x, anchor_y, context):
-        self.element.place(layout, x, y, z)
-        self.placed = True
-        context.add_box(self)
-
-    def delete(self, layout):
-        # font == element
-        if self.placed:
-            self.element.remove(layout)
-            self.placed = False
-
-    def get_point_in_box(self, position):
-        if position == 0:
-            return 0
-        else:
-            return self.advance
-
-    def get_position_in_box(self, x):
-        if x < self.advance // 2:
-            return 0
-        else:
-            return 1
-
-    def __repr__(self):
-        return f'_InlineElementBox({self.element})'
-
-
-class _InvalidRange:
-    # Used by the IncrementalTextLayout
-
-    def __init__(self):
-        self.start = sys.maxsize
-        self.end = 0
-
-    def insert(self, start, length):
-        if self.start >= start:
-            self.start += length
-        if self.end >= start:
-            self.end += length
-        self.invalidate(start, start + length)
-
-    def delete(self, start, end):
-        if self.start > end:
-            self.start -= end - start
-        elif self.start > start:
-            self.start = start
-        if self.end > end:
-            self.end -= end - start
-        elif self.end > start:
-            self.end = start
-
-    def invalidate(self, start, end):
-        if end <= start:
-            return
-        self.start = min(self.start, start)
-        self.end = max(self.end, end)
-
-    def validate(self):
-        start, end = self.start, self.end
-        self.start = sys.maxsize
-        self.end = 0
-        return start, end
-
-    def is_invalid(self):
-        return self.end > self.start
-
-
-layout_vertex_source = """#version 330 core
-    in vec3 position;
-    in vec4 colors;
-    in vec3 tex_coords;
-    in vec3 translation;
-    in vec2 anchor;
-    in float rotation;
-
-    out vec4 text_colors;
-    out vec2 texture_coords;
-    out vec4 vert_position;
-
-    uniform WindowBlock
-    {
-        mat4 projection;
-        mat4 view;
-    } window;
-
-    mat4 m_rotation = mat4(1.0);
-    mat4 m_anchor = mat4(1.0);
-    mat4 m_neganchor = mat4(1.0);
-
-    void main()
-    {
-        m_anchor[3][0] = anchor.x;
-        m_anchor[3][1] = anchor.y;
-        m_neganchor[3][0] = -anchor.x;
-        m_neganchor[3][1] = -anchor.y;
-        m_rotation[0][0] =  cos(-radians(rotation));
-        m_rotation[0][1] =  sin(-radians(rotation));
-        m_rotation[1][0] = -sin(-radians(rotation));
-        m_rotation[1][1] =  cos(-radians(rotation));
-
-        gl_Position = window.projection * window.view * m_anchor * m_rotation * m_neganchor * vec4(position + translation, 1.0);
-
-        vert_position = vec4(position + translation, 1.0);
-        text_colors = colors;
-        texture_coords = tex_coords.xy;
-    }
-"""
-
-layout_fragment_source = """#version 330 core
-    in vec4 text_colors;
-    in vec2 texture_coords;
-    in vec4 vert_position;
-
-    out vec4 final_colors;
-
-    uniform sampler2D text;
-    uniform bool scissor;
-    uniform vec4 scissor_area;
-
-    void main()
-    {
-        final_colors = vec4(text_colors.rgb, texture(text, texture_coords).a * text_colors.a);
-        if (scissor == true) {
-            if (vert_position.x < scissor_area[0]) discard;                     // left
-            if (vert_position.y < scissor_area[1]) discard;                     // bottom
-            if (vert_position.x > scissor_area[0] + scissor_area[2]) discard;   // right
-            if (vert_position.y > scissor_area[1] + scissor_area[3]) discard;   // top
-        }
-    }
-"""
-
-layout_fragment_image_source = """#version 330 core
-    in vec4 text_colors;
-    in vec2 texture_coords;
-    in vec4 vert_position;
-    
-    uniform sampler2D image_texture;
-
-    out vec4 final_colors;
-
-    uniform sampler2D text;
-    uniform bool scissor;
-    uniform vec4 scissor_area;
-
-    void main()
-    {
-        final_colors = texture(image_texture, texture_coords.xy);
-        if (scissor == true) {
-            if (vert_position.x < scissor_area[0]) discard;                     // left
-            if (vert_position.y < scissor_area[1]) discard;                     // bottom
-            if (vert_position.x > scissor_area[0] + scissor_area[2]) discard;   // right
-            if (vert_position.y > scissor_area[1] + scissor_area[3]) discard;   // top
-        }
-    }
-"""
-
-decoration_vertex_source = """#version 330 core
-    in vec3 position;
-    in vec4 colors;
-    in vec3 translation;
-    in vec2 anchor;
-    in float rotation;
-
-    out vec4 vert_colors;
-    out vec4 vert_position;
-
-    uniform WindowBlock
-    {
-        mat4 projection;
-        mat4 view;
-    } window;
-
-    mat4 m_rotation = mat4(1.0);
-    mat4 m_anchor = mat4(1.0);
-    mat4 m_neganchor = mat4(1.0);
-
-    void main()
-    {
-        m_anchor[3][0] = anchor.x;
-        m_anchor[3][1] = anchor.y;
-        m_neganchor[3][0] = -anchor.x;
-        m_neganchor[3][1] = -anchor.y;
-        m_rotation[0][0] =  cos(-radians(rotation));
-        m_rotation[0][1] =  sin(-radians(rotation));
-        m_rotation[1][0] = -sin(-radians(rotation));
-        m_rotation[1][1] =  cos(-radians(rotation));
-
-        gl_Position = window.projection * window.view * m_anchor * m_rotation * m_neganchor * vec4(position + translation, 1.0);
-
-        vert_position = vec4(position + translation, 1.0);
-        vert_colors = colors;
-    }
-"""
-
-decoration_fragment_source = """#version 330 core
-    in vec4 vert_colors;
-    in vec4 vert_position;
-
-    out vec4 final_colors;
-
-    uniform bool scissor;
-    uniform vec4 scissor_area;
-
-    void main()
-    {   
-        final_colors = vert_colors;
-        if (scissor == true) {
-            if (vert_position.x < scissor_area[0]) discard;                     // left
-            if (vert_position.y < scissor_area[1]) discard;                     // bottom
-            if (vert_position.x > scissor_area[0] + scissor_area[2]) discard;   // right
-            if (vert_position.y > scissor_area[1] + scissor_area[3]) discard;   // top
-        }
-    }
-"""
-
-
-def get_default_layout_shader():
-    try:
-        return pyglet.gl.current_context.pyglet_text_layout_shader
-    except AttributeError:
-        pyglet.gl.current_context.pyglet_text_layout_shader = shader.ShaderProgram(
-            shader.Shader(layout_vertex_source, 'vertex'),
-            shader.Shader(layout_fragment_source, 'fragment'),
-        )
-        return pyglet.gl.current_context.pyglet_text_layout_shader
-
-
-def get_default_image_layout_shader():
-    try:
-        return pyglet.gl.current_context.pyglet_text_layout_image_shader
-    except AttributeError:
-        pyglet.gl.current_context.pyglet_text_layout_image_shader = shader.ShaderProgram(
-            shader.Shader(layout_vertex_source, 'vertex'),
-            shader.Shader(layout_fragment_image_source, 'fragment'),
-        )
-        return pyglet.gl.current_context.pyglet_text_layout_image_shader
-
-
-def get_default_decoration_shader():
-    try:
-        return pyglet.gl.current_context.pyglet_text_decoration_shader
-    except AttributeError:
-        pyglet.gl.current_context.pyglet_text_decoration_shader = shader.ShaderProgram(
-            shader.Shader(decoration_vertex_source, 'vertex'),
-            shader.Shader(decoration_fragment_source, 'fragment'),
-        )
-        return pyglet.gl.current_context.pyglet_text_decoration_shader
-
-
-class TextLayoutGroup(graphics.Group):
-    def __init__(self, texture, program, order=1, parent=None):
-        """Create a text layout rendering group.
-
-        The group is created internally when a :py:class:`~pyglet.text.Label`
-        is created; applications usually do not need to explicitly create it.
-        """
-        super().__init__(order=order, parent=parent)
-        self.texture = texture
-        self.program = program
-
-    def set_state(self):
-        self.program.use()
-        self.program['scissor'] = False
-
-        glActiveTexture(GL_TEXTURE0)
-        glBindTexture(self.texture.target, self.texture.id)
-
-        glEnable(GL_BLEND)
-        glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA)
-
-    def unset_state(self):
-        glDisable(GL_BLEND)
-        self.program.stop()
-
-    def __repr__(self):
-        return "{0}({1})".format(self.__class__.__name__, self.texture)
-
-    def __eq__(self, other):
-        return (other.__class__ is self.__class__ and
-                self.parent is other.parent and
-                self.program.id is other.program.id and
-                self.order == other.order and
-                self.texture.target == other.texture.target and
-                self.texture.id == other.texture.id)
-
-    def __hash__(self):
-        return hash((id(self.parent), self.program.id, self.order, self.texture.target, self.texture.id))
-
-
-class ScrollableTextLayoutGroup(graphics.Group):
-    scissor_area = 0, 0, 0, 0
-
-    def __init__(self, texture, program, order=1, parent=None):
-        """Default rendering group for :py:class:`~pyglet.text.layout.ScrollableTextLayout`.
-
-        The group maintains internal state for specifying the viewable
-        area, and for scrolling. Because the group has internal state
-        specific to the text layout, the group is never shared.
-        """
-        super().__init__(order=order, parent=parent)
-        self.texture = texture
-        self.program = program
-
-    def set_state(self):
-        self.program.use()
-        self.program['scissor'] = True
-        self.program['scissor_area'] = self.scissor_area
-
-        glActiveTexture(GL_TEXTURE0)
-        glBindTexture(self.texture.target, self.texture.id)
-
-        glEnable(GL_BLEND)
-        glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA)
-
-    def unset_state(self):
-        glDisable(GL_BLEND)
-        self.program.stop()
-
-    def __repr__(self):
-        return f"{self.__class__.__name__}({self.texture})"
-
-    def __eq__(self, other):
-        return self is other
-
-    def __hash__(self):
-        return id(self)
-
-
-class IncrementalTextLayoutGroup(ScrollableTextLayoutGroup):
-    # Subclass so that the scissor_area isn't shared with the
-    # ScrollableTextLayout. We use a class variable here so
-    # that it can be set before the document glyphs are created.
-    scissor_area = 0, 0, 0, 0
-
-
-class TextDecorationGroup(graphics.Group):
-    def __init__(self, program, order=0, parent=None):
-        """Create a text decoration rendering group.
-
-        The group is created internally when a :py:class:`~pyglet.text.Label`
-        is created; applications usually do not need to explicitly create it.
-        """
-        super().__init__(order=order, parent=parent)
-        self.program = program
-
-    def set_state(self):
-        self.program.use()
-        self.program['scissor'] = False
-
-        glEnable(GL_BLEND)
-        glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA)
-
-    def unset_state(self):
-        glDisable(GL_BLEND)
-        self.program.stop()
-
-
-class ScrollableTextDecorationGroup(graphics.Group):
-    scissor_area = 0, 0, 0, 0
-
-    def __init__(self, program, order=0, parent=None):
-        """Create a text decoration rendering group.
-
-        The group is created internally when a :py:class:`~pyglet.text.Label`
-        is created; applications usually do not need to explicitly create it.
-        """
-        super().__init__(order=order, parent=parent)
-        self.program = program
-
-    def set_state(self):
-        self.program.use()
-        self.program['scissor'] = True
-        self.program['scissor_area'] = self.scissor_area
-
-        glEnable(GL_BLEND)
-        glBlendFunc(GL_SRC_ALPHA, GL_ONE_MINUS_SRC_ALPHA)
-
-    def unset_state(self):
-        glDisable(GL_BLEND)
-        self.program.stop()
-
-    def __repr__(self):
-        return f"{self.__class__.__name__}(scissor={self.scissor_area})"
-
-    def __eq__(self, other):
-        return self is other
-
-    def __hash__(self):
-        return id(self)
-
-
-class IncrementalTextDecorationGroup(ScrollableTextDecorationGroup):
-    # Subclass so that the scissor_area isn't shared with the
-    # ScrollableTextDecorationGroup. We use a class variable here so
-    # that it can be set before the document glyphs are created.
-    scissor_area = 0, 0, 0, 0
-
-
-# ####################
-
-
-class TextLayout:
-    """Lay out and display documents.
-
-    This class is intended for displaying documents that do not change
-    regularly -- any change will cost some time to lay out the complete
-    document again and regenerate all vertex lists.
-
-    The benefit of this class is that texture state is shared between
-    all layouts of this class.  The time to draw one :py:func:`~pyglet.text.layout.TextLayout` may be
-    roughly the same as the time to draw one :py:class:`~pyglet.text.layout.IncrementalTextLayout`; but
-    drawing ten :py:func:`~pyglet.text.layout.TextLayout` objects in one batch is much faster than drawing
-    ten incremental or scrollable text layouts.
-
-    :py:func:`~pyglet.text.Label` and :py:func:`~pyglet.text.HTMLLabel` provide a convenient interface to this class.
-
-    :Ivariables:
-        `content_width` : int
-            Calculated width of the text in the layout.  This may overflow
-            the desired width if word-wrapping failed.
-        `content_height` : int
-            Calculated height of the text in the layout.
-        `group_class` : `~pyglet.graphics.Group`
-            Top-level rendering group.
-        `background_decoration_group` : `~pyglet.graphics.Group`
-            Rendering group for background color.
-        `foreground_decoration_group` : `~pyglet.graphics.Group`
-            Rendering group for glyph underlines.
-
-    """
-    _document = None
-    _vertex_lists = []
-    _boxes = []
-
-    _update_enabled = True
-    _own_batch = False
-    group_class = TextLayoutGroup
-    decoration_class = TextDecorationGroup
-
-    _x = 0
-    _y = 0
-    _z = 0
-    _rotation = 0
-    _width = None
-    _height = None
-    _anchor_x = 'left'
-    _anchor_y = 'bottom'
-    _content_valign = 'top'
-    _multiline = False
-    _visible = True
-
-    def __init__(self, document, width=None, height=None,
-                 multiline=False, dpi=None, batch=None, group=None,
-                 wrap_lines=True):
-        """Create a text layout.
-
-        :Parameters:
-            `document` : `AbstractDocument`
-                Document to display.
-            `width` : int
-                Width of the layout in pixels, or None
-            `height` : int
-                Height of the layout in pixels, or None
-            `multiline` : bool
-                If False, newline and paragraph characters are ignored, and
-                text is not word-wrapped.
-                If True, text is wrapped only if the `wrap_lines` is True.
-            `dpi` : float
-                Font resolution; defaults to 96.
-            `batch` : `~pyglet.graphics.Batch`
-                Optional graphics batch to add this layout to.
-            `group` : `~pyglet.graphics.Group`
-                Optional Group to parent all internal Groups that this text
-                layout uses.  Note that layouts with the same Groups will
-                be rendered simultaneously in a Batch.
-            `wrap_lines` : bool
-                If True and `multiline` is True, the text is word-wrapped using
-                the specified width.
-
-        """
-        self.content_width = 0
-        self.content_height = 0
-
-        self._user_group = group
-        self.group_cache = {}
-        self._initialize_groups()
-
-        if batch is None:
-            batch = graphics.Batch()
-            self._own_batch = True
-        self._batch = batch
-
-        self._width = width
-        self._height = height
-        self._multiline = multiline       
-
-        self._wrap_lines_flag = wrap_lines
-        self._wrap_lines_invariant()
-
-        self._dpi = dpi or 96
-        self.document = document
-        
-    @property
-    def _flow_glyphs(self):
-        if self._multiline:
-            return self._flow_glyphs_wrap
-        else:
-            return self._flow_glyphs_single_line
-
-    def _initialize_groups(self):
-        decoration_shader = get_default_decoration_shader()
-        self.background_decoration_group = self.decoration_class(decoration_shader, order=0, parent=self._user_group)
-        self.foreground_decoration_group = self.decoration_class(decoration_shader, order=2, parent=self._user_group)
-
-    @property
-    def group(self):
-        return self._user_group
-
-    @group.setter
-    def group(self, group):
-        self._user_group = group
-        self._initialize_groups()
-        self._update()
-
-    @property
-    def dpi(self):
-        """Get DPI used by this layout.
-
-        :type: float
-        """
-        return self._dpi
-
-    @property
-    def document(self):
-        """Document to display.
-
-         For :py:class:`~pyglet.text.layout.IncrementalTextLayout` it is
-         far more efficient to modify a document in-place than to replace
-         the document instance on the layout.
-
-         :type: `AbstractDocument`
-         """
-        return self._document
-
-    @document.setter
-    def document(self, document):
-        if self._document:
-            self._document.remove_handlers(self)
-            self._uninit_document()
-        document.push_handlers(self)
-        self._document = document
-        self._init_document()
-
-    @property
-    def batch(self):
-        """The Batch that this Layout is assigned to.
-
-        If no Batch is assigned, an internal Batch is
-        created and used.
-
-        :type: :py:class:`~pyglet.graphics.Batch`
-
-        """
-        return self._batch
-
-    @batch.setter
-    def batch(self, batch):
-        if self._batch == batch:
-            return
-
-        if batch is None:
-            self._batch = graphics.Batch()
-            self._own_batch = True
-            self._update()
-        elif batch is not None:
-            self._batch = batch
-            self._own_batch = False
-            self._update()
-
-    @property
-    def x(self):
-        """X coordinate of the layout.
-
-        See also :py:attr:`~pyglet.text.layout.TextLayout.anchor_x`.
-
-        :type: int
-        """
-        return self._x
-
-    @x.setter
-    def x(self, x):
-        self._set_x(x)
-
-    def _set_x(self, x):
-        if self._boxes:
-            self._x = x
-            self._update()
-        else:
-            dx = x - self._x
-            for vertex_list in self._vertex_lists:
-                vertices = vertex_list.position[:]
-                vertices[::3] = [x + dx for x in vertices[::3]]
-                vertex_list.position[:] = vertices
-            self._x = x
-
-    @property
-    def y(self):
-        """Y coordinate of the layout.
-
-        See also `anchor_y`.
-
-        :type: int
-        """
-        return self._y
-
-    @y.setter
-    def y(self, y):
-        self._set_y(y)
-
-    def _set_y(self, y):
-        if self._boxes:
-            self._y = y
-            self._update()
-        else:
-            dy = y - self._y
-            for vertex_list in self._vertex_lists:
-                vertices = vertex_list.position[:]
-                vertices[1::3] = [y + dy for y in vertices[1::3]]
-                vertex_list.position[:] = vertices
-            self._y = y
-
-    @property
-    def z(self):
-        """Z coordinate of the layout.
-
-        :type: int
-        """
-        return self._z
-
-    @z.setter
-    def z(self, z):
-        self._set_z(z)
-
-    def _set_z(self, z):
-        if self._boxes:
-            self._z = z
-            self._update()
-        else:
-            dz = z - self.z
-            for vertex_list in self._vertex_lists:
-                vertices = vertex_list.position[:]
-                vertices[2::3] = [z + dz for z in vertices[2::3]]
-                vertex_list.position[:] = vertices
-            self._z = z
-
-    @property
-    def rotation(self):
-        """Rotation of the layout.
-        
-        :type: float
-        """
-        return self._rotation
-
-    @rotation.setter
-    def rotation(self, rotation):
-        self._set_rotation(rotation)
-
-    def _set_rotation(self, rotation):
-        self._rotation = rotation
-        self._update()
-
-    @property
-    def position(self):
-        """The (X, Y, Z) coordinates of the layout, as a tuple.
-
-        See also :py:attr:`~pyglet.text.layout.TextLayout.anchor_x`,
-        and :py:attr:`~pyglet.text.layout.TextLayout.anchor_y`.
-
-        :type: (int, int, int)
-        """
-        return self._x, self._y, self._z
-
-    @position.setter
-    def position(self, values):
-        x, y, z = values
-        if self._boxes:
-            self._x = x
-            self._y = y
-            self._z = z
-            self._update()
-        else:
-            dx = x - self._x
-            dy = y - self._y
-            dz = z - self._z
-            for vertex_list in self._vertex_lists:
-                vertices = vertex_list.position[:]
-                vertices[::3] = [x + dx for x in vertices[::3]]
-                vertices[1::3] = [y + dy for y in vertices[1::3]]
-                vertices[2::3] = [z + dz for z in vertices[2::3]]
-                vertex_list.position[:] = vertices
-            self._x = x
-            self._y = y
-            self._z = z
-
-    @property
-    def visible(self):
-        """True if the layout will be drawn.
-
-        :type: bool
-        """
-        return self._visible
-
-    @visible.setter
-    def visible(self, value):
-        if value != self._visible:
-            self._visible = value
-
-            if value:
-                self._update()
-            else:
-                self.delete()
-
-    @property
-    def width(self):
-        """Width of the layout.
-
-        This property has no effect if `multiline` is False or `wrap_lines` is False.
-
-        :type: int
-        """
-        return self._width
-
-    @width.setter
-    def width(self, width):
-        self._width = width
-        self._wrap_lines_invariant()
-        self._update()
-
-    @property
-    def height(self):
-        """Height of the layout.
-
-        :type: int
-        """
-        return self._height
-
-    @height.setter
-    def height(self, height):
-        self._height = height
-        self._update()
-
-    @property
-    def multiline(self):
-        """Set if multiline layout is enabled.
-
-        If multiline is False, newline and paragraph characters are ignored and
-        text is not word-wrapped.
-        If True, the text is word-wrapped only if the `wrap_lines` is True.
-
-        :type: bool
-        """
-        return self._multiline
-
-    @multiline.setter
-    def multiline(self, multiline):
-        self._multiline = multiline
-        self._wrap_lines_invariant()
-        self._update()
-
-    @property
-    def anchor_x(self):
-        """Horizontal anchor alignment.
-
-        This property determines the meaning of the `x` coordinate.
-        It is one of the enumerants:
-
-        ``"left"`` (default)
-            The X coordinate gives the position of the left edge of the layout.
-        ``"center"``
-            The X coordinate gives the position of the center of the layout.
-        ``"right"``
-            The X coordinate gives the position of the right edge of the layout.
-
-        For the purposes of calculating the position resulting from this
-        alignment, the width of the layout is taken to be `width` if `multiline`
-        is True and `wrap_lines` is True, otherwise `content_width`.
-
-        :type: str
-        """
-        return self._anchor_x
-
-    @anchor_x.setter
-    def anchor_x(self, anchor_x):
-        self._anchor_x = anchor_x
-        self._update()
-
-    @property
-    def anchor_y(self):
-        """Vertical anchor alignment.
-
-        This property determines the meaning of the `y` coordinate.
-        It is one of the enumerants:
-
-        ``"top"``
-            The Y coordinate gives the position of the top edge of the layout.
-        ``"center"``
-            The Y coordinate gives the position of the center of the layout.
-        ``"baseline"``
-            The Y coordinate gives the position of the baseline of the first
-            line of text in the layout.
-        ``"bottom"`` (default)
-            The Y coordinate gives the position of the bottom edge of the layout.
-
-        For the purposes of calculating the position resulting from this
-        alignment, the height of the layout is taken to be the smaller of
-        `height` and `content_height`.
-
-        See also `content_valign`.
-
-        :type: str
-        """
-        return self._anchor_y
-
-    @anchor_y.setter
-    def anchor_y(self, anchor_y):
-        self._anchor_y = anchor_y
-        self._update()
-
-    @property
-    def content_valign(self):
-        """Vertical alignment of content within larger layout box.
-
-        This property determines how content is positioned within the layout
-        box when ``content_height`` is less than ``height``.  It is one
-        of the enumerants:
-
-        ``top`` (default)
-            Content is aligned to the top of the layout box.
-        ``center``
-            Content is centered vertically within the layout box.
-        ``bottom``
-            Content is aligned to the bottom of the layout box.
-
-        This property has no effect when ``content_height`` is greater
-        than ``height`` (in which case the content is aligned to the top) or when
-        ``height`` is ``None`` (in which case there is no vertical layout box
-        dimension).
-
-        :type: str
-        """
-        return self._content_valign
-
-    @content_valign.setter
-    def content_valign(self, content_valign):
-        self._content_valign = content_valign
-        self._update()
-
-    def _wrap_lines_invariant(self):
-        self._wrap_lines = self._multiline and self._wrap_lines_flag
-        assert not self._wrap_lines or self._width, \
-            "When the parameters 'multiline' and 'wrap_lines' are True, the parameter 'width' must be a number."
-
-    def parse_distance(self, distance):
-        if distance is None:
-            return None
-        return _parse_distance(distance, self._dpi)
-
-    def begin_update(self):
-        """Indicate that a number of changes to the layout or document
-        are about to occur.
-
-        Changes to the layout or document between calls to `begin_update` and
-        `end_update` do not trigger any costly relayout of text.  Relayout of
-        all changes is performed when `end_update` is called.
-
-        Note that between the `begin_update` and `end_update` calls, values
-        such as `content_width` and `content_height` are undefined (i.e., they
-        may or may not be updated to reflect the latest changes).
-        """
-        self._update_enabled = False
-
-    def end_update(self):
-        """Perform pending layout changes since `begin_update`.
-
-        See `begin_update`.
-        """
-        self._update_enabled = True
-        self._update()
-
-    def delete(self):
-        """Remove this layout from its batch.
-        """
-        for vertex_list in self._vertex_lists:
-            vertex_list.delete()
-        self._vertex_lists.clear()
-
-        for box in self._boxes:
-            box.delete(self)
-        self._boxes.clear()
-
-    def draw(self):
-        """Draw this text layout.
-
-        Note that this method performs very badly if a batch was supplied to
-        the constructor.  If you add this layout to a batch, you should
-        ideally use only the batch's draw method.
-        """
-        if self._own_batch:
-            self._batch.draw()
-        else:
-            self._batch.draw_subset(self._vertex_lists)
-
-    def _get_lines(self):
-        len_text = len(self._document.text)
-        glyphs = self._get_glyphs()
-        owner_runs = runlist.RunList(len_text, None)
-        self._get_owner_runs(owner_runs, glyphs, 0, len_text)
-        lines = [line for line in self._flow_glyphs(glyphs, owner_runs, 0, len_text)]
-        self.content_width = 0
-        self._flow_lines(lines, 0, len(lines))
-        return lines
-
-    def _update(self):
-        if not self._update_enabled:
-            return
-
-        for _vertex_list in self._vertex_lists:
-            _vertex_list.delete()
-        for box in self._boxes:
-            box.delete(self)
-        self._vertex_lists = []
-        self._boxes = []
-        self.group_cache.clear()
-
-        if not self._document or not self._document.text:
-            return
-
-        lines = self._get_lines()
-
-        colors_iter = self._document.get_style_runs('color')
-        background_iter = self._document.get_style_runs('background_color')
-
-        left = self._get_left()
-        top = self._get_top(lines)
-
-        context = _StaticLayoutContext(self, self._document, colors_iter, background_iter)
-        for line in lines:
-            self._create_vertex_lists(left + line.x, top + line.y, self._z, line.start, line.boxes, context)
-
-    def _update_color(self):
-        colors_iter = self._document.get_style_runs('color')
-        colors = []
-        for start, end, color in colors_iter.ranges(0, colors_iter.end):
-            if color is None:
-                color = (0, 0, 0, 255)
-            colors.extend(color * ((end - start) * 4))
-
-        start = 0
-        for _vertex_list in self._vertex_lists:
-            _vertex_list.colors = colors[start:start + len(_vertex_list.colors)]
-            start += len(_vertex_list.colors)
-
-    def _get_left(self):
-        if self._multiline:
-            width = self._width if self._wrap_lines else self.content_width
-        else:
-            width = self.content_width
-
-        if self._anchor_x == 'left':
-            return self._x
-        elif self._anchor_x == 'center':
-            return self._x - width // 2
-        elif self._anchor_x == 'right':
-            return self._x - width
-        else:
-            assert False, '`anchor_x` must be either "left", "center", or "right".'
-
-    def _get_top(self, lines):
-        if self._height is None:
-            height = self.content_height
-            offset = 0
-        else:
-            height = self._height
-            if self._content_valign == 'top':
-                offset = 0
-            elif self._content_valign == 'bottom':
-                offset = max(0, self._height - self.content_height)
-            elif self._content_valign == 'center':
-                offset = max(0, self._height - self.content_height) // 2
-            else:
-                assert False, '`content_valign` must be either "top", "bottom", or "center".'
-
-        if self._anchor_y == 'top':
-            return self._y - offset
-        elif self._anchor_y == 'baseline':
-            return self._y + lines[0].ascent - offset
-        elif self._anchor_y == 'bottom':
-            return self._y + height - offset
-        elif self._anchor_y == 'center':
-            if len(lines) == 1 and self._height is None:
-                # This "looks" more centered than considering all of the descent.
-                line = lines[0]
-                return self._y + line.ascent // 2 - line.descent // 4
-            else:
-                return self._y + height // 2 - offset
-        else:
-            assert False, '`anchor_y` must be either "top", "bottom", "center", or "baseline".'
-
-    def _get_bottom(self, lines):
-        height = self._height or self.content_height
-
-        if self._anchor_y == 'top':
-            return self._y - height
-        elif self._anchor_y == 'bottom':
-            return self._y
-        elif self._anchor_y == 'center':
-            return self._y - height // 2
-        elif self._anchor_y == 'baseline':
-            return self._y - height + lines[0].ascent
-        else:
-            assert False, '`anchor_y` must be either "top", "bottom", "center", or "baseline".'
-
-    def _init_document(self):
-        self._update()
-
-    def _uninit_document(self):
-        pass
-
-    def on_insert_text(self, start, text):
-        """Event handler for `AbstractDocument.on_insert_text`.
-
-        The event handler is bound by the text layout; there is no need for
-        applications to interact with this method.
-        """
-        if self._visible:
-            self._init_document()
-        else:
-            if self.document.text:
-                # Update content width and height, since text may change while hidden.
-                self._get_lines()
-
-    def on_delete_text(self, start, end):
-        """Event handler for `AbstractDocument.on_delete_text`.
-
-        The event handler is bound by the text layout; there is no need for
-        applications to interact with this method.
-        """
-        if self._visible:
-            self._init_document()
-
-    def on_style_text(self, start, end, attributes):
-        """Event handler for `AbstractDocument.on_style_text`.
-
-        The event handler is bound by the text layout; there is no need for
-        applications to interact with this method.
-        """
-        if len(attributes) == 1 and 'color' in attributes.keys():
-            self._update_color()
-        else:
-            self._init_document()
-
-    def _get_glyphs(self):
-        glyphs = []
-        runs = runlist.ZipRunIterator((
-            self._document.get_font_runs(dpi=self._dpi),
-            self._document.get_element_runs()))
-        text = self._document.text
-        for start, end, (font, element) in runs.ranges(0, len(text)):
-            if element:
-                glyphs.append(_InlineElementBox(element))
-            else:
-                glyphs.extend(font.get_glyphs(text[start:end]))
-        return glyphs
-
-    def _get_owner_runs(self, owner_runs, glyphs, start, end):
-        owner = glyphs[start].owner
-        run_start = start
-        # TODO avoid glyph slice on non-incremental
-        for i, glyph in enumerate(glyphs[start:end]):
-            if owner != glyph.owner:
-                owner_runs.set_run(run_start, i + start, owner)
-                owner = glyph.owner
-                run_start = i + start
-        owner_runs.set_run(run_start, end, owner)
-
-    def _flow_glyphs_wrap(self, glyphs, owner_runs, start, end):
-        """Word-wrap styled text into lines of fixed width.
-
-        Fits `glyphs` in range `start` to `end` into `_Line` s which are
-        then yielded.
-        """
-        owner_iterator = owner_runs.get_run_iterator().ranges(start, end)
-
-        font_iterator = self._document.get_font_runs(dpi=self._dpi)
-
-        align_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('align'),
-                                                     lambda value: value in ('left', 'right', 'center'),
-                                                     'left')
-        if self._width is None:
-            wrap_iterator = runlist.ConstRunIterator(len(self.document.text), False)
-        else:
-            wrap_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('wrap'),
-                                                        lambda value: value in (True, False, 'char', 'word'),
-                                                        True)
-        margin_left_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('margin_left'),
-                                                           lambda value: value is not None, 0)
-        margin_right_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('margin_right'),
-                                                            lambda value: value is not None, 0)
-        indent_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('indent'),
-                                                      lambda value: value is not None, 0)
-        kerning_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('kerning'),
-                                                       lambda value: value is not None, 0)
-        tab_stops_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('tab_stops'),
-                                                         lambda value: value is not None, [])
-        line = _Line(start)
-        line.align = align_iterator[start]
-        line.margin_left = self.parse_distance(margin_left_iterator[start])
-        line.margin_right = self.parse_distance(margin_right_iterator[start])
-        if start == 0 or self.document.text[start - 1] in u'\n\u2029':
-            line.paragraph_begin = True
-            line.margin_left += self.parse_distance(indent_iterator[start])
-        wrap = wrap_iterator[start]
-        if self._wrap_lines:
-            width = self._width - line.margin_left - line.margin_right
-
-        # Current right-most x position in line being laid out.
-        x = 0
-
-        # Boxes accumulated but not yet committed to a line.
-        run_accum = []
-        run_accum_width = 0
-
-        # Amount of whitespace accumulated at end of line
-        eol_ws = 0
-
-        # Iterate over glyph owners (texture states); these form GlyphBoxes,
-        # but broken into lines.
-        font = None
-        for start, end, owner in owner_iterator:
-            font = font_iterator[start]
-
-            # Glyphs accumulated in this owner but not yet committed to a
-            # line.
-            owner_accum = []
-            owner_accum_width = 0
-
-            # Glyphs accumulated in this owner AND also committed to the
-            # current line (some whitespace has followed all of the committed
-            # glyphs).
-            owner_accum_commit = []
-            owner_accum_commit_width = 0
-
-            # Ignore kerning of first glyph on each line
-            nokern = True
-
-            # Current glyph index
-            index = start
-
-            # Iterate over glyphs in this owner run.  `text` is the
-            # corresponding character data for the glyph, and is used to find
-            # whitespace and newlines.
-            for (text, glyph) in zip(self.document.text[start:end], glyphs[start:end]):
-                if nokern:
-                    kern = 0
-                    nokern = False
-                else:
-                    kern = self.parse_distance(kerning_iterator[index])
-
-                if wrap != 'char' and text in u'\u0020\u200b\t':
-                    # Whitespace: commit pending runs to this line.
-                    for run in run_accum:
-                        line.add_box(run)
-                    run_accum = []
-                    run_accum_width = 0
-
-                    if text == '\t':
-                        # Fix up kern for this glyph to align to the next tab stop
-                        for tab_stop in tab_stops_iterator[index]:
-                            tab_stop = self.parse_distance(tab_stop)
-                            if tab_stop > x + line.margin_left:
-                                break
-                        else:
-                            # No more tab stops, tab to 100 pixels
-                            tab = 50.
-                            tab_stop = (((x + line.margin_left) // tab) + 1) * tab
-                        kern = int(tab_stop - x - line.margin_left - glyph.advance)
-
-                    owner_accum.append((kern, glyph))
-                    owner_accum_commit.extend(owner_accum)
-                    owner_accum_commit_width += owner_accum_width + glyph.advance + kern
-                    eol_ws += glyph.advance + kern
-
-                    owner_accum = []
-                    owner_accum_width = 0
-
-                    x += glyph.advance + kern
-                    index += 1
-
-                    # The index at which the next line will begin (the
-                    # current index, because this is the current best
-                    # breakpoint).
-                    next_start = index
-                else:
-                    new_paragraph = text in u'\n\u2029'
-                    new_line = (text == u'\u2028') or new_paragraph
-                    if (wrap and self._wrap_lines and x + kern + glyph.advance >= width) or new_line:
-                        # Either the pending runs have overflowed the allowed
-                        # line width or a newline was encountered.  Either
-                        # way, the current line must be flushed.
-
-                        if new_line or wrap == 'char':
-                            # Forced newline or char-level wrapping.  Commit
-                            # everything pending without exception.
-                            for run in run_accum:
-                                line.add_box(run)
-                            run_accum = []
-                            run_accum_width = 0
-                            owner_accum_commit.extend(owner_accum)
-                            owner_accum_commit_width += owner_accum_width
-                            owner_accum = []
-                            owner_accum_width = 0
-
-                            line.length += 1
-                            next_start = index
-                            if new_line:
-                                next_start += 1
-
-                        # Create the _GlyphBox for the committed glyphs in the
-                        # current owner.
-                        if owner_accum_commit:
-                            line.add_box(_GlyphBox(owner, font, owner_accum_commit, owner_accum_commit_width))
-                            owner_accum_commit = []
-                            owner_accum_commit_width = 0
-
-                        if new_line and not line.boxes:
-                            # Empty line: give it the current font's default
-                            # line-height.
-                            line.ascent = font.ascent
-                            line.descent = font.descent
-
-                        # Flush the line, unless nothing got committed, in
-                        # which case it's a really long string of glyphs
-                        # without any breakpoints (in which case it will be
-                        # flushed at the earliest breakpoint, not before
-                        # something is committed).
-                        if line.boxes or new_line:
-                            # Trim line width of whitespace on right-side.
-                            line.width -= eol_ws
-                            if new_paragraph:
-                                line.paragraph_end = True
-                            yield line
-                            try:
-                                line = _Line(next_start)
-                                line.align = align_iterator[next_start]
-                                line.margin_left = self.parse_distance(margin_left_iterator[next_start])
-                                line.margin_right = self.parse_distance(margin_right_iterator[next_start])
-                            except IndexError:
-                                # XXX This used to throw StopIteration in some cases, causing the
-                                # final part of this method not to be executed. Refactoring
-                                # required to fix this
-                                return
-                            if new_paragraph:
-                                line.paragraph_begin = True
-
-                            # Remove kern from first glyph of line
-                            if run_accum and hasattr(run_accum, 'glyphs') and run_accum.glyphs:
-                                k, g = run_accum[0].glyphs[0]
-                                run_accum[0].glyphs[0] = (0, g)
-                                run_accum_width -= k
-                            elif owner_accum:
-                                k, g = owner_accum[0]
-                                owner_accum[0] = (0, g)
-                                owner_accum_width -= k
-                            else:
-                                nokern = True
-
-                            x = run_accum_width + owner_accum_width
-                            if self._wrap_lines:
-                                width = self._width - line.margin_left - line.margin_right
-
-                    if isinstance(glyph, _AbstractBox):
-                        # Glyph is already in a box. XXX Ignore kern?
-                        run_accum.append(glyph)
-                        run_accum_width += glyph.advance
-                        x += glyph.advance
-                    elif new_paragraph:
-                        # New paragraph started, update wrap style
-                        wrap = wrap_iterator[next_start]
-                        line.margin_left += self.parse_distance(indent_iterator[next_start])
-                        if self._wrap_lines:
-                            width = self._width - line.margin_left - line.margin_right
-                    elif not new_line:
-                        # If the glyph was any non-whitespace, non-newline
-                        # character, add it to the pending run.
-                        owner_accum.append((kern, glyph))
-                        owner_accum_width += glyph.advance + kern
-                        x += glyph.advance + kern
-                    index += 1
-                    eol_ws = 0
-
-            # The owner run is finished; create GlyphBoxes for the committed
-            # and pending glyphs.
-            if owner_accum_commit:
-                line.add_box(_GlyphBox(owner, font, owner_accum_commit, owner_accum_commit_width))
-            if owner_accum:
-                run_accum.append(_GlyphBox(owner, font, owner_accum, owner_accum_width))
-                run_accum_width += owner_accum_width
-
-        # All glyphs have been processed: commit everything pending and flush
-        # the final line.
-        for run in run_accum:
-            line.add_box(run)
-
-        if not line.boxes:
-            # Empty line gets font's line-height
-            if font is None:
-                font = self._document.get_font(0, dpi=self._dpi)
-            line.ascent = font.ascent
-            line.descent = font.descent
-
-        yield line
-
-    def _flow_glyphs_single_line(self, glyphs, owner_runs, start, end):
-        owner_iterator = owner_runs.get_run_iterator().ranges(start, end)
-        font_iterator = self.document.get_font_runs(dpi=self._dpi)
-        kern_iterator = runlist.FilteredRunIterator(self.document.get_style_runs('kerning'),
-                                                    lambda value: value is not None, 0)
-
-        line = _Line(start)
-        font = font_iterator[0]
-
-        if self._width:
-            align_iterator = runlist.FilteredRunIterator(
-                self._document.get_style_runs('align'),
-                lambda value: value in ('left', 'right', 'center'),
-                'left')
-            line.align = align_iterator[start]
-
-        for start, end, owner in owner_iterator:
-            font = font_iterator[start]
-            width = 0
-            owner_glyphs = []
-            for kern_start, kern_end, kern in kern_iterator.ranges(start, end):
-                gs = glyphs[kern_start:kern_end]
-                width += sum([g.advance for g in gs])
-                width += kern * (kern_end - kern_start)
-                owner_glyphs.extend(zip([kern] * (kern_end - kern_start), gs))
-            if owner is None:
-                # Assume glyphs are already boxes.
-                for kern, glyph in owner_glyphs:
-                    line.add_box(glyph)
-            else:
-                line.add_box(_GlyphBox(owner, font, owner_glyphs, width))
-
-        if not line.boxes:
-            line.ascent = font.ascent
-            line.descent = font.descent
-
-        line.paragraph_begin = line.paragraph_end = True
-
-        yield line
-
-    def _flow_lines(self, lines, start, end):
-        margin_top_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('margin_top'),
-                                                          lambda value: value is not None, 0)
-        margin_bottom_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('margin_bottom'),
-                                                             lambda value: value is not None, 0)
-        line_spacing_iterator = self._document.get_style_runs('line_spacing')
-        leading_iterator = runlist.FilteredRunIterator(self._document.get_style_runs('leading'),
-                                                       lambda value: value is not None, 0)
-
-        if start == 0:
-            y = 0
-        else:
-            line = lines[start - 1]
-            line_spacing = self.parse_distance(line_spacing_iterator[line.start])
-            leading = self.parse_distance(leading_iterator[line.start])
-
-            y = line.y
-            if line_spacing is None:
-                y += line.descent
-            if line.paragraph_end:
-                y -= self.parse_distance(margin_bottom_iterator[line.start])
-
-        line_index = start
-        for line in lines[start:]:
-            if line.paragraph_begin:
-                y -= self.parse_distance(margin_top_iterator[line.start])
-                line_spacing = self.parse_distance(line_spacing_iterator[line.start])
-                leading = self.parse_distance(leading_iterator[line.start])
-            else:
-                y -= leading
-
-            if line_spacing is None:
-                y -= line.ascent
-            else:
-                y -= line_spacing
-            if line.align == 'left' or line.width > self.width:
-                line.x = line.margin_left
-            elif line.align == 'center':
-                line.x = (self.width - line.margin_left - line.margin_right - line.width) // 2 + line.margin_left
-            elif line.align == 'right':
-                line.x = self.width - line.margin_right - line.width
-
-            self.content_width = max(self.content_width, line.width + line.margin_left)
-
-            if line.y == y and line_index >= end:
-                # Early exit: all invalidated lines have been reflowed and the
-                # next line has no change (therefore subsequent lines do not
-                # need to be changed).
-                break
-            line.y = y
-
-            if line_spacing is None:
-                y += line.descent
-            if line.paragraph_end:
-                y -= self.parse_distance(margin_bottom_iterator[line.start])
-
-            line_index += 1
-        else:
-            self.content_height = -y
-
-        return line_index
-
-    def _create_vertex_lists(self, x, y, z, i, boxes, context):
-        for box in boxes:
-            box.place(self, i, x, y, z, self._rotation, self._x, self._y, context)
-            x += box.advance
-            i += box.length
-
-
-class ScrollableTextLayout(TextLayout):
-    """Display text in a scrollable viewport.
-
-    This class does not display a scrollbar or handle scroll events; it merely
-    clips the text that would be drawn in :py:func:`~pyglet.text.layout.TextLayout`
-    to the bounds of the layout given by `x`, `y`, `width` and `height`;
-    and offsets the text by a scroll offset.
-
-    Use `view_x` and `view_y` to scroll the text within the viewport.
-    """
-
-    group_class = ScrollableTextLayoutGroup
-    decoration_class = ScrollableTextDecorationGroup
-
-    _translate_x = 0
-    _translate_y = 0
-
-    def __init__(self, document, width, height, multiline=False, dpi=None, batch=None, group=None, wrap_lines=True):
-        super().__init__(document, width, height, multiline, dpi, batch, group, wrap_lines)
-        self._update_scissor_area()
-
-    def _update_scissor_area(self):
-        if not self.document.text:
-            return
-        area = self._get_left(), self._get_bottom(self._get_lines()), self._width, self._height
-        for group in self.group_cache.values():
-            group.scissor_area = area
-
-        self.background_decoration_group.scissor_area = area
-        self.foreground_decoration_group.scissor_area = area
-
-    def _update(self):
-        super()._update()
-        self._update_scissor_area()
-
-    # Properties
-
-    @property
-    def x(self):
-        return self._x
-
-    @x.setter
-    def x(self, x):
-        super()._set_x(x)
-        self._update_scissor_area()
-
-    @property
-    def y(self):
-        return self._y
-
-    @y.setter
-    def y(self, y):
-        super()._set_y(y)
-        self._update_scissor_area()
-
-    @property
-    def position(self):
-        return self._x, self._y, self._z
-
-    @position.setter
-    def position(self, position):
-        self.x, self.y, self.z = position
-
-    @property
-    def anchor_x(self):
-        return self._anchor_x
-
-    @anchor_x.setter
-    def anchor_x(self, anchor_x):
-        self._anchor_x = anchor_x
-        super()._update()
-        self._update_scissor_area()
-
-    @property
-    def anchor_y(self):
-        return self._anchor_y
-
-    @anchor_y.setter
-    def anchor_y(self, anchor_y):
-        self._anchor_y = anchor_y
-        super()._update()
-        self._update_scissor_area()
-
-    # Offset of content within viewport
-
-    def _update_translation(self):
-        for _vertex_list in self._vertex_lists:
-            _vertex_list.translation[:] = (-self._translate_x, -self._translate_y, 0) * _vertex_list.count
-
-    @property
-    def view_x(self):
-        """Horizontal scroll offset.
-
-            The initial value is 0, and the left edge of the text will touch the left
-            side of the layout bounds.  A positive value causes the text to "scroll"
-            to the right.  Values are automatically clipped into the range
-            ``[0, content_width - width]``
-
-            :type: int
-        """
-        return self._translate_x
-
-    @view_x.setter
-    def view_x(self, view_x):
-        self._translate_x = max(0, min(self.content_width - self._width, view_x))
-        self._update_translation()
-
-    @property
-    def view_y(self):
-        """Vertical scroll offset.
-
-            The initial value is 0, and the top of the text will touch the top of the
-            layout bounds (unless the content height is less than the layout height,
-            in which case `content_valign` is used).
-
-            A negative value causes the text to "scroll" upwards.  Values outside of
-            the range ``[height - content_height, 0]`` are automatically clipped in
-            range.
-
-            :type: int
-        """
-        return self._translate_y
-
-    @view_y.setter
-    def view_y(self, view_y):
-        # view_y must be negative.
-        self._translate_y = min(0, max(self.height - self.content_height, view_y))
-        self._update_translation()
-
-
-class IncrementalTextLayout(TextLayout, EventDispatcher):
-    """Displayed text suitable for interactive editing and/or scrolling
-    large documents.
-
-    Unlike :py:func:`~pyglet.text.layout.TextLayout` and
-    :py:class:`~pyglet.text.layout.ScrollableTextLayout`, this class generates
-    vertex lists only for lines of text that are visible.  As the document is
-    scrolled, vertex lists are deleted and created as appropriate to keep
-    video memory usage to a minimum and improve rendering speed.
-
-    Changes to the document are quickly reflected in this layout, as only the
-    affected line(s) are reflowed.  Use `begin_update` and `end_update` to
-    further reduce the amount of processing required.
-
-    The layout can also display a text selection (text with a different
-    background color).  The :py:class:`~pyglet.text.caret.Caret` class implements
-    a visible text cursor and provides event handlers for scrolling, selecting and
-    editing text in an incremental text layout.
-    """
-
-    _selection_start = 0
-    _selection_end = 0
-    _selection_color = [255, 255, 255, 255]
-    _selection_background_color = [46, 106, 197, 255]
-
-    group_class = IncrementalTextLayoutGroup
-    decoration_class = IncrementalTextDecorationGroup
-
-    _translate_x = 0
-    _translate_y = 0
-
-    def __init__(self, document, width, height, multiline=False, dpi=None, batch=None, group=None, wrap_lines=True):
-
-        self.glyphs = []
-        self.lines = []
-
-        self.invalid_glyphs = _InvalidRange()
-        self.invalid_flow = _InvalidRange()
-        self.invalid_lines = _InvalidRange()
-        self.invalid_style = _InvalidRange()
-        self.invalid_vertex_lines = _InvalidRange()
-        self.visible_lines = _InvalidRange()
-
-        self.owner_runs = runlist.RunList(0, None)
-
-        super().__init__(document, width, height, multiline, dpi, batch, group, wrap_lines)
-        self._update_translation()
-        self._update_scissor_area()
-
-    def _update_scissor_area(self):
-        area = self._get_left(), self._get_bottom(self._get_lines()), self._width, self._height
-        for group in self.group_cache.values():
-            group.scissor_area = area
-        self.background_decoration_group.scissor_area = area
-        self.foreground_decoration_group.scissor_area = area
-
-    def _init_document(self):
-        assert self._document, 'Cannot remove document from IncrementalTextLayout'
-        self.on_insert_text(0, self._document.text)
-
-    def _uninit_document(self):
-        self.on_delete_text(0, len(self._document.text))
-
-    def _get_lines(self):
-        return self.lines
-
-    def delete(self):
-        for line in self.lines:
-            line.delete(self)
-        self._batch = None
-        if self._document:
-            self._document.remove_handlers(self)
-        self._document = None
-
-    def on_insert_text(self, start, text):
-        len_text = len(text)
-        self.glyphs[start:start] = [None] * len_text
-
-        self.invalid_glyphs.insert(start, len_text)
-        self.invalid_flow.insert(start, len_text)
-        self.invalid_style.insert(start, len_text)
-
-        self.owner_runs.insert(start, len_text)
-
-        for line in self.lines:
-            if line.start >= start:
-                line.start += len_text
-
-        self._update()
-
-    def on_delete_text(self, start, end):
-        self.glyphs[start:end] = []
-
-        self.invalid_glyphs.delete(start, end)
-        self.invalid_flow.delete(start, end)
-        self.invalid_style.delete(start, end)
-
-        self.owner_runs.delete(start, end)
-
-        size = end - start
-        for line in self.lines:
-            if line.start > start:
-                line.start = max(line.start - size, start)
-
-        if start == 0:
-            self.invalid_flow.invalidate(0, 1)
-        else:
-            self.invalid_flow.invalidate(start - 1, start)
-
-        self._update()
-
-    def on_style_text(self, start, end, attributes):
-        if 'font_name' in attributes or 'font_size' in attributes or 'bold' in attributes or 'italic' in attributes:
-            self.invalid_glyphs.invalidate(start, end)
-        elif 'color' in attributes or 'background_color' in attributes:
-            self.invalid_style.invalidate(start, end)
-        else:  # Attributes that change flow
-            self.invalid_flow.invalidate(start, end)
-
-        self._update()
-
-    def _update(self):
-        if not self._update_enabled:
-            return
-
-        trigger_update_event = (self.invalid_glyphs.is_invalid() or
-                                self.invalid_flow.is_invalid() or
-                                self.invalid_lines.is_invalid())
-
-        len_groups = len(self.group_cache)
-        # Special care if there is no text:
-        if not self.glyphs:
-            for line in self.lines:
-                line.delete(self)
-            del self.lines[:]
-            self.lines.append(_Line(0))
-            font = self.document.get_font(0, dpi=self._dpi)
-            self.lines[0].ascent = font.ascent
-            self.lines[0].descent = font.descent
-            self.lines[0].paragraph_begin = self.lines[0].paragraph_end = True
-            self.invalid_lines.invalidate(0, 1)
-
-        self._update_glyphs()
-        self._update_flow_glyphs()
-        self._update_flow_lines()
-        self._update_visible_lines()
-        self._update_vertex_lists()
-
-        # Update group cache areas if the count has changed. Usually if it starts with no text.
-        # Group cache is only cleared in a regular TextLayout. May need revisiting if that changes.
-        if len_groups != len(self.group_cache):
-            self._update_scissor_area()
-
-        if trigger_update_event:
-            self.dispatch_event('on_layout_update')
-
-    def _update_glyphs(self):
-        invalid_start, invalid_end = self.invalid_glyphs.validate()
-
-        if invalid_end - invalid_start <= 0:
-            return
-
-        # Find grapheme breaks and extend glyph range to encompass.
-        text = self.document.text
-        while invalid_start > 0:
-            if grapheme_break(text[invalid_start - 1], text[invalid_start]):
-                break
-            invalid_start -= 1
-
-        len_text = len(text)
-        while invalid_end < len_text:
-            if grapheme_break(text[invalid_end - 1], text[invalid_end]):
-                break
-            invalid_end += 1
-
-        # Update glyphs
-        runs = runlist.ZipRunIterator((
-            self._document.get_font_runs(dpi=self._dpi),
-            self._document.get_element_runs()))
-        for start, end, (font, element) in runs.ranges(invalid_start, invalid_end):
-            if element:
-                self.glyphs[start] = _InlineElementBox(element)
-            else:
-                text = self.document.text[start:end]
-                self.glyphs[start:end] = font.get_glyphs(text)
-
-        # Update owner runs
-        self._get_owner_runs(self.owner_runs, self.glyphs, invalid_start, invalid_end)
-
-        # Updated glyphs need flowing
-        self.invalid_flow.invalidate(invalid_start, invalid_end)
-
-    def _update_flow_glyphs(self):
-        invalid_start, invalid_end = self.invalid_flow.validate()
-
-        if invalid_end - invalid_start <= 0:
-            return
-
-        # Find first invalid line
-        line_index = 0
-        for i, line in enumerate(self.lines):
-            if line.start >= invalid_start:
-                break
-            line_index = i
-
-        # Flow from previous line; fixes issue with adding a space into
-        # overlong line (glyphs before space would then flow back onto
-        # previous line).
-        # TODO:  Could optimise this by keeping track of where the overlong lines are.
-        line_index = max(0, line_index - 1)
-
-        # (No need to find last invalid line; the update loop below stops
-        # calling the flow generator when no more changes are necessary.)
-
-        try:
-            line = self.lines[line_index]
-            invalid_start = min(invalid_start, line.start)
-            line.delete(self)
-            self.lines[line_index] = _Line(invalid_start)
-            self.invalid_lines.invalidate(line_index, line_index + 1)
-        except IndexError:
-            line_index = 0
-            invalid_start = 0
-            line = _Line(0)
-            self.lines.append(line)
-            self.invalid_lines.insert(0, 1)
-
-        content_width_invalid = False
-        next_start = invalid_start
-
-        for line in self._flow_glyphs(self.glyphs, self.owner_runs, invalid_start, len(self._document.text)):
-            try:
-                old_line = self.lines[line_index]
-                old_line.delete(self)
-                old_line_width = old_line.width + old_line.margin_left
-                new_line_width = line.width + line.margin_left
-                if old_line_width == self.content_width and new_line_width < old_line_width:
-                    content_width_invalid = True
-                self.lines[line_index] = line
-                self.invalid_lines.invalidate(line_index, line_index + 1)
-            except IndexError:
-                self.lines.append(line)
-                self.invalid_lines.insert(line_index, 1)
-
-            next_start = line.start + line.length
-            line_index += 1
-
-            try:
-                next_line = self.lines[line_index]
-                if next_start == next_line.start and next_start > invalid_end:
-                    # No more lines need to be modified, early exit.
-                    break
-            except IndexError:
-                pass
-        else:
-            # The last line is at line_index - 1, if there are any more lines
-            # after that they are stale and need to be deleted.
-            if next_start == len(self._document.text) and line_index > 0:
-                for line in self.lines[line_index:]:
-                    old_line_width = old_line.width + old_line.margin_left
-                    if old_line_width == self.content_width:
-                        content_width_invalid = True
-                    line.delete(self)
-                del self.lines[line_index:]
-
-        if content_width_invalid:
-            # Rescan all lines to look for the new maximum content width
-            content_width = 0
-            for line in self.lines:
-                content_width = max(line.width + line.margin_left, content_width)
-            self.content_width = content_width
-
-    def _update_flow_lines(self):
-        invalid_start, invalid_end = self.invalid_lines.validate()
-        if invalid_end - invalid_start <= 0:
-            return
-
-        invalid_end = self._flow_lines(self.lines, invalid_start, invalid_end)
-
-        # Invalidate lines that need new vertex lists.
-        self.invalid_vertex_lines.invalidate(invalid_start, invalid_end)
-
-    def _update_visible_lines(self):
-        start = sys.maxsize
-        end = 0
-
-        for i, line in enumerate(self.lines):
-            if line.y + line.descent < self._translate_y:
-                start = min(start, i)
-            if line.y + line.ascent > self._translate_y - self.height:
-                end = max(end, i) + 1
-
-        # Delete newly invisible lines
-        for i in range(self.visible_lines.start, min(start, len(self.lines))):
-            self.lines[i].delete(self)
-        for i in range(end, min(self.visible_lines.end, len(self.lines))):
-            self.lines[i].delete(self)
-
-        # Invalidate newly visible lines
-        self.invalid_vertex_lines.invalidate(start, self.visible_lines.start)
-        self.invalid_vertex_lines.invalidate(self.visible_lines.end, end)
-
-        self.visible_lines.start = start
-        self.visible_lines.end = end
-
-    def _update_vertex_lists(self):
-        # Find lines that have been affected by style changes
-        style_invalid_start, style_invalid_end = self.invalid_style.validate()
-        self.invalid_vertex_lines.invalidate(
-            self.get_line_from_position(style_invalid_start),
-            self.get_line_from_position(style_invalid_end) + 1)
-
-        invalid_start, invalid_end = self.invalid_vertex_lines.validate()
-        if invalid_end - invalid_start <= 0:
-            return
-
-        colors_iter = self.document.get_style_runs('color')
-        background_iter = self.document.get_style_runs('background_color')
-        if self._selection_end - self._selection_start > 0:
-            colors_iter = runlist.OverriddenRunIterator(
-                colors_iter,
-                self._selection_start,
-                self._selection_end,
-                self._selection_color)
-            background_iter = runlist.OverriddenRunIterator(
-                background_iter,
-                self._selection_start,
-                self._selection_end,
-                self._selection_background_color)
-
-        context = _IncrementalLayoutContext(self, self._document, colors_iter, background_iter)
-
-        left = self._get_left()
-        top = self._get_top(self.lines[invalid_start:invalid_end])
-
-        for line in self.lines[invalid_start:invalid_end]:
-            line.delete(self)
-            context.line = line
-            y = line.y
-
-            # Early out if not visible
-            if y + line.descent > self._translate_y:
-                continue
-            elif y + line.ascent < self._translate_y - self.height:
-                break
-
-            self._create_vertex_lists(left + line.x, top + y, self._z, line.start, line.boxes, context)
-
-    @property
-    def x(self):
-        return self._x
-
-    @x.setter
-    def x(self, x):
-        self._x = x
-        self._uninit_document()
-        self._init_document()
-        self._update_scissor_area()
-
-    @property
-    def y(self):
-        return self._y
-
-    @y.setter
-    def y(self, y):
-        self._y = y
-        self._uninit_document()
-        self._init_document()
-        self._update_scissor_area()
-
-    @property
-    def position(self):
-        return self._x, self._y, self._z
-
-    @position.setter
-    def position(self, position):
-        self._x, self._y, self._z = position
-        self._uninit_document()
-        self._init_document()
-        self._update_scissor_area()
-
-    @property
-    def anchor_x(self):
-        return self._anchor_x
-
-    @anchor_x.setter
-    def anchor_x(self, anchor_x):
-        self._anchor_x = anchor_x
-        self._update_scissor_area()
-        self._init_document()
-
-    @property
-    def anchor_y(self):
-        return self._anchor_y
-
-    @anchor_y.setter
-    def anchor_y(self, anchor_y):
-        self._anchor_y = anchor_y
-        self._update_scissor_area()
-        self._init_document()
-
-    @property
-    def width(self):
-        return self._width
-
-    @width.setter
-    def width(self, width):
-        # Invalidate everything when width changes
-        if width == self._width:
-            return
-        self._width = width
-        self.invalid_flow.invalidate(0, len(self.document.text))
-        self._update_scissor_area()
-
-    @property
-    def height(self):
-        return self._height
-
-    @height.setter
-    def height(self, height):
-        # Recalculate visible lines when height changes
-        if height == self._height:
-            return
-        self._height = height
-        if self._update_enabled:
-            self._update_visible_lines()
-            self._update_vertex_lists()
-
-    @property
-    def multiline(self):
-        return self._multiline
-
-    @multiline.setter
-    def multiline(self, multiline):
-        self.invalid_flow.invalidate(0, len(self.document.text))
-        self._multiline = multiline
-        self._wrap_lines_invariant()
-        self._update()
-
-    def _set_rotation(self, rotation):
-        self._rotation = rotation
-        self.invalid_flow.invalidate(0, len(self.document.text))
-        self._update()
-
-    # Offset of content within viewport
-
-    def _update_translation(self):
-        for line in self.lines:
-            for vlist in line.vertex_lists:
-                vlist.translation[:] = (-self._translate_x, -self._translate_y, 0) * vlist.count
-
-    @property
-    def view_x(self):
-        """Horizontal scroll offset.
-
-        The initial value is 0, and the left edge of the text will touch the left
-        side of the layout bounds.  A positive value causes the text to "scroll"
-        to the right.  Values are automatically clipped into the range
-        ``[0, content_width - width]``
-
-        :type: int
-        """
-        return self._translate_x
-
-    @view_x.setter
-    def view_x(self, view_x):
-        self._translate_x = max(0, min(self.content_width - self._width, view_x))
-        self._update_translation()
-
-    @property
-    def view_y(self):
-        """Vertical scroll offset.
-
-        The initial value is 0, and the top of the text will touch the top of the
-        layout bounds (unless the content height is less than the layout height,
-        in which case `content_valign` is used).
-
-        A negative value causes the text to "scroll" upwards.  Values outside of
-        the range ``[height - content_height, 0]`` are automatically clipped in
-        range.
-
-        :type: int
-        """
-        return self._translate_y
-
-    @view_y.setter
-    def view_y(self, view_y):
-        # Invalidate invisible/visible lines when y scrolls
-        # view_y must be negative.
-        self._translate_y = min(0, max(self.height - self.content_height, view_y))
-        self._update_translation()
-        self._update_visible_lines()
-        self._update_vertex_lists()
-
-    # Visible selection
-
-    def set_selection(self, start, end):
-        """Set the text selection range.
-
-        If ``start`` equals ``end`` no selection will be visible.
-
-        :Parameters:
-            `start` : int
-                Starting character position of selection.
-            `end` : int
-                End of selection, exclusive.
-
-        """
-        start = max(0, start)
-        end = min(end, len(self.document.text))
-        if start == self._selection_start and end == self._selection_end:
-            return
-
-        if end > self._selection_start and start < self._selection_end:
-            # Overlapping, only invalidate difference
-            self.invalid_style.invalidate(min(start, self._selection_start), max(start, self._selection_start))
-            self.invalid_style.invalidate(min(end, self._selection_end), max(end, self._selection_end))
-        else:
-            # Non-overlapping, invalidate both ranges
-            self.invalid_style.invalidate(self._selection_start, self._selection_end)
-            self.invalid_style.invalidate(start, end)
-
-        self._selection_start = start
-        self._selection_end = end
-
-        self._update()
-
-    @property
-    def selection_start(self):
-        """Starting position of the active selection.
-
-        :see: `set_selection`
-
-        :type: int
-        """
-        return self._selection_start
-
-    @selection_start.setter
-    def selection_start(self, start):
-        self.set_selection(start, self._selection_end)
-
-    @property
-    def selection_end(self):
-        """End position of the active selection (exclusive).
-
-        :see: `set_selection`
-
-        :type: int
-        """
-        return self._selection_end
-
-    @selection_end.setter
-    def selection_end(self, end):
-        self.set_selection(self._selection_start, end)
-
-    @property
-    def selection_color(self):
-        """Text color of active selection.
-
-        The color is an RGBA tuple with components in range [0, 255].
-
-        :type: (int, int, int, int)
-        """
-        return self._selection_color
-
-    @selection_color.setter
-    def selection_color(self, color):
-        self._selection_color = color
-        self.invalid_style.invalidate(self._selection_start, self._selection_end)
-
-    @property
-    def selection_background_color(self):
-        """Background color of active selection.
-
-        The color is an RGBA tuple with components in range [0, 255].
-
-        :type: (int, int, int, int)
-        """
-        return self._selection_background_color
-
-    @selection_background_color.setter
-    def selection_background_color(self, background_color):
-        self._selection_background_color = background_color
-        self.invalid_style.invalidate(self._selection_start, self._selection_end)
-
-    # Coordinate translation
-
-    def get_position_from_point(self, x, y):
-        """Get the closest document position to a point.
-
-        :Parameters:
-            `x` : int
-                X coordinate
-            `y` : int
-                Y coordinate
-
-        """
-        line = self.get_line_from_point(x, y)
-        return self.get_position_on_line(line, x)
-
-    def get_point_from_position(self, position, line=None):
-        """Get the X, Y coordinates of a position in the document.
-
-        The position that ends a line has an ambiguous point: it can be either
-        the end of the line, or the beginning of the next line.  You may
-        optionally specify a line index to disambiguate the case.
-
-        The resulting Y coordinate gives the baseline of the line.
-
-        :Parameters:
-            `position` : int
-                Character position within document.
-            `line` : int
-                Line index.
-
-        :rtype: (int, int)
-        :return: (x, y)
-        """
-        if line is None:
-            line = self.lines[0]
-            for next_line in self.lines:
-                if next_line.start > position:
-                    break
-                line = next_line
-        else:
-            line = self.lines[line]
-
-        x = line.x
-
-        baseline = self._document.get_style('baseline', max(0, position - 1))
-        if baseline is None:
-            baseline = 0
-        else:
-            baseline = self.parse_distance(baseline)
-
-        position -= line.start
-        for box in line.boxes:
-            if position - box.length <= 0:
-                x += box.get_point_in_box(position)
-                break
-            position -= box.length
-            x += box.advance
-
-        return x - self._translate_x, line.y + self._translate_y + baseline
-
-    def get_line_from_point(self, x, y):
-        """Get the closest line index to a point.
-
-        :Parameters:
-            `x` : int
-                X coordinate.
-            `y` : int
-                Y coordinate.
-
-        :rtype: int
-        """
-        x -= self._translate_x
-        y -= self._translate_y + self._height
-
-        line_index = 0
-        for line in self.lines:
-            if y > line.y + line.descent:
-                break
-            line_index += 1
-        if line_index >= len(self.lines):
-            line_index = len(self.lines) - 1
-        return line_index
-
-    def get_point_from_line(self, line):
-        """Get the X, Y coordinates of a line index.
-
-        :Parameters:
-            `line` : int
-                Line index.
-
-        :rtype: (int, int)
-        :return: (x, y)
-        """
-        line = self.lines[line]
-        return line.x + self._translate_x, line.y + self._translate_y
-
-    def get_line_from_position(self, position):
-        """Get the line index of a character position in the document.
-
-        :Parameters:
-            `position` : int
-                Document position.
-
-        :rtype: int
-        """
-        line = -1
-        for next_line in self.lines:
-            if next_line.start > position:
-                break
-            line += 1
-        return line
-
-    def get_position_from_line(self, line):
-        """Get the first document character position of a given line index.
-
-        :Parameters:
-            `line` : int
-                Line index.
-
-        :rtype: int
-        """
-        return self.lines[line].start + self._x
-
-    def get_position_on_line(self, line, x):
-        """Get the closest document position for a given line index and X
-        coordinate.
-
-        :Parameters:
-            `line` : int
-                Line index.
-            `x` : int
-                X coordinate.
-
-        :rtype: int
-        """
-        line = self.lines[line]
-
-        x += self._translate_x
-        x -= self._x
-
-        if x < line.x:
-            return line.start
-
-        position = line.start
-        last_glyph_x = line.x
-        for box in line.boxes:
-            if 0 <= x - last_glyph_x < box.advance:
-                position += box.get_position_in_box(x - last_glyph_x)
-                break
-            last_glyph_x += box.advance
-            position += box.length
-
-        return position
-
-    def get_line_count(self):
-        """Get the number of lines in the text layout.
-
-        :rtype: int
-        """
-        return len(self.lines)
-
-    def ensure_line_visible(self, line):
-        """Adjust `view_y` so that the line with the given index is visible.
-
-        :Parameters:
-            `line` : int
-                Line index.
-
-        """
-        line = self.lines[line]
-        y1 = line.y + line.ascent
-        y2 = line.y + line.descent
-        if y1 > self.view_y:
-            self.view_y = y1
-        elif y2 < self.view_y - self.height:
-            self.view_y = y2 + self.height
-
-    def ensure_x_visible(self, x):
-        """Adjust `view_x` so that the given X coordinate is visible.
-
-        The X coordinate is given relative to the current `view_x`.
-
-        :Parameters:
-            `x` : int
-                X coordinate
-
-        """
-        x += self.view_x - self._x
-
-        if x <= self.view_x + 10:
-            self.view_x = x - 10
-        elif x >= self.view_x + self.width:
-            self.view_x = x - self.width + 10
-        elif x >= self.view_x + self.width - 10 and self.content_width > self.width:
-            self.view_x = x - self.width + 10
-
-    if _is_pyglet_doc_run:
-        def on_layout_update(self):
-            """Some or all of the layout text was reflowed.
-
-            Text reflow is caused by document edits or changes to the layout's
-            size.  Changes to the layout's position or active selection, and
-            certain document edits such as text color, do not cause a reflow.
-
-            Handle this event to update the position of a graphical element
-            that depends on the laid out position of a glyph or line.
-
-            :event:
-            """
-
-
-IncrementalTextLayout.register_event_type('on_layout_update')
diff --git a/spaces/adirik/stylemc-demo/encoder4editing/models/psp.py b/spaces/adirik/stylemc-demo/encoder4editing/models/psp.py
deleted file mode 100644
index 6cae392654d6c3d678950a477921453781c81c7c..0000000000000000000000000000000000000000
--- a/spaces/adirik/stylemc-demo/encoder4editing/models/psp.py
+++ /dev/null
@@ -1,100 +0,0 @@
-import matplotlib
-
-matplotlib.use('Agg')
-import torch
-from torch import nn
-from models.encoders import psp_encoders
-from models.stylegan2.model import Generator
-from configs.paths_config import model_paths
-
-
-def get_keys(d, name):
-    if 'state_dict' in d:
-        d = d['state_dict']
-    d_filt = {k[len(name) + 1:]: v for k, v in d.items() if k[:len(name)] == name}
-    return d_filt
-
-
-class pSp(nn.Module):
-
-    def __init__(self, opts):
-        super(pSp, self).__init__()
-        self.opts = opts
-        # Define architecture
-        self.encoder = self.set_encoder()
-        self.decoder = Generator(opts.stylegan_size, 512, 8, channel_multiplier=2)
-        self.face_pool = torch.nn.AdaptiveAvgPool2d((256, 256))
-        # Load weights if needed
-        self.load_weights()
-
-    def set_encoder(self):
-        if self.opts.encoder_type == 'GradualStyleEncoder':
-            encoder = psp_encoders.GradualStyleEncoder(50, 'ir_se', self.opts)
-        elif self.opts.encoder_type == 'Encoder4Editing':
-            encoder = psp_encoders.Encoder4Editing(50, 'ir_se', self.opts)
-        elif self.opts.encoder_type == 'SingleStyleCodeEncoder':
-            encoder = psp_encoders.BackboneEncoderUsingLastLayerIntoW(50, 'ir_se', self.opts)
-        else:
-            raise Exception('{} is not a valid encoders'.format(self.opts.encoder_type))
-        return encoder
-
-    def load_weights(self):
-        if self.opts.checkpoint_path is not None:
-            print('Loading e4e over the pSp framework from checkpoint: {}'.format(self.opts.checkpoint_path))
-            ckpt = torch.load(self.opts.checkpoint_path, map_location='cpu')
-            self.encoder.load_state_dict(get_keys(ckpt, 'encoder'), strict=True)
-            self.decoder.load_state_dict(get_keys(ckpt, 'decoder'), strict=True)
-            self.__load_latent_avg(ckpt)
-        else:
-            print('Loading encoders weights from irse50!')
-            encoder_ckpt = torch.load(model_paths['ir_se50'])
-            self.encoder.load_state_dict(encoder_ckpt, strict=False)
-            print('Loading decoder weights from pretrained!')
-            ckpt = torch.load(self.opts.stylegan_weights)
-            self.decoder.load_state_dict(ckpt['g_ema'], strict=False)
-            self.__load_latent_avg(ckpt, repeat=self.encoder.style_count)
-
-    def forward(self, x, resize=True, latent_mask=None, input_code=False, randomize_noise=True,
-                inject_latent=None, return_latents=False, alpha=None):
-        if input_code:
-            codes = x
-        else:
-            codes = self.encoder(x)
-            # normalize with respect to the center of an average face
-            if self.opts.start_from_latent_avg:
-                if codes.ndim == 2:
-                    codes = codes + self.latent_avg.repeat(codes.shape[0], 1, 1)[:, 0, :]
-                else:
-                    codes = codes + self.latent_avg.repeat(codes.shape[0], 1, 1)
-
-        if latent_mask is not None:
-            for i in latent_mask:
-                if inject_latent is not None:
-                    if alpha is not None:
-                        codes[:, i] = alpha * inject_latent[:, i] + (1 - alpha) * codes[:, i]
-                    else:
-                        codes[:, i] = inject_latent[:, i]
-                else:
-                    codes[:, i] = 0
-
-        input_is_latent = not input_code
-        images, result_latent = self.decoder([codes],
-                                             input_is_latent=input_is_latent,
-                                             randomize_noise=randomize_noise,
-                                             return_latents=return_latents)
-
-        if resize:
-            images = self.face_pool(images)
-
-        if return_latents:
-            return images, result_latent
-        else:
-            return images
-
-    def __load_latent_avg(self, ckpt, repeat=None):
-        if 'latent_avg' in ckpt:
-            self.latent_avg = ckpt['latent_avg'].to(self.opts.device)
-            if repeat is not None:
-                self.latent_avg = self.latent_avg.repeat(repeat, 1)
-        else:
-            self.latent_avg = None
diff --git a/spaces/akdeniz27/turkish-named-entity-recognition/README.md b/spaces/akdeniz27/turkish-named-entity-recognition/README.md
deleted file mode 100644
index a3959fe4918cbc2b5720fe34fd0bb7483b856839..0000000000000000000000000000000000000000
--- a/spaces/akdeniz27/turkish-named-entity-recognition/README.md
+++ /dev/null
@@ -1,37 +0,0 @@
----
-title: Turkish Named Entity Recognition
-emoji: 🏃
-colorFrom: indigo
-colorTo: indigo
-sdk: streamlit
-app_file: app.py
-pinned: false
----
-
-# Configuration
-
-`title`: _string_  
-Display title for the Space
-
-`emoji`: _string_  
-Space emoji (emoji-only character allowed)
-
-`colorFrom`: _string_  
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`colorTo`: _string_  
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`sdk`: _string_  
-Can be either `gradio` or `streamlit`
-
-`sdk_version` : _string_  
-Only applicable for `streamlit` SDK.  
-See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
-
-`app_file`: _string_  
-Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
-Path is relative to the root of the repository.
-
-`pinned`: _boolean_  
-Whether the Space stays on top of your list.
\ No newline at end of file
diff --git a/spaces/akhaliq/JoJoGAN/e4e/utils/data_utils.py b/spaces/akhaliq/JoJoGAN/e4e/utils/data_utils.py
deleted file mode 100644
index f1ba79f4a2d5cc2b97dce76d87bf6e7cdebbc257..0000000000000000000000000000000000000000
--- a/spaces/akhaliq/JoJoGAN/e4e/utils/data_utils.py
+++ /dev/null
@@ -1,25 +0,0 @@
-"""
-Code adopted from pix2pixHD:
-https://github.com/NVIDIA/pix2pixHD/blob/master/data/image_folder.py
-"""
-import os
-
-IMG_EXTENSIONS = [
-    '.jpg', '.JPG', '.jpeg', '.JPEG',
-    '.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP', '.tiff'
-]
-
-
-def is_image_file(filename):
-    return any(filename.endswith(extension) for extension in IMG_EXTENSIONS)
-
-
-def make_dataset(dir):
-    images = []
-    assert os.path.isdir(dir), '%s is not a valid directory' % dir
-    for root, _, fnames in sorted(os.walk(dir)):
-        for fname in fnames:
-            if is_image_file(fname):
-                path = os.path.join(root, fname)
-                images.append(path)
-    return images
diff --git a/spaces/akhaliq/SummerTime/model/third_party/HMNet/ThirdParty/ROUGE/ROUGE-1.5.5/XML/DOM/Notation.pod b/spaces/akhaliq/SummerTime/model/third_party/HMNet/ThirdParty/ROUGE/ROUGE-1.5.5/XML/DOM/Notation.pod
deleted file mode 100644
index e197a177f263805746524d3e49c1917339b53c4e..0000000000000000000000000000000000000000
--- a/spaces/akhaliq/SummerTime/model/third_party/HMNet/ThirdParty/ROUGE/ROUGE-1.5.5/XML/DOM/Notation.pod
+++ /dev/null
@@ -1,47 +0,0 @@
-=head1 NAME
-
-XML::DOM::Notation - An XML NOTATION in XML::DOM
-
-=head1 DESCRIPTION
-
-XML::DOM::Notation extends L<XML::DOM::Node>.
-
-This node represents a Notation, e.g.
-
- <!NOTATION gs SYSTEM "GhostScript">
-
- <!NOTATION name PUBLIC "pubId">
-
- <!NOTATION name PUBLIC "pubId" "sysId">
-
- <!NOTATION name SYSTEM "sysId">
-
-=head2 METHODS
-
-=over 4
-
-=item getName and setName (name)
-
-Returns (or sets) the Notation name, which is the first token after the 
-NOTATION keyword.
-
-=item getSysId and setSysId (sysId)
-
-Returns (or sets) the system ID, which is the token after the optional
-SYSTEM keyword.
-
-=item getPubId and setPubId (pubId)
-
-Returns (or sets) the public ID, which is the token after the optional
-PUBLIC keyword.
-
-=item getBase
-
-This is passed by XML::Parser in the Notation handler. 
-I don't know what it is yet.
-
-=item getNodeName
-
-Returns the same as getName.
-
-=back
diff --git a/spaces/alexrame/rewardedsoups/streamlit_app/data/locomotion/trajectories/2.html b/spaces/alexrame/rewardedsoups/streamlit_app/data/locomotion/trajectories/2.html
deleted file mode 100644
index d433dbea8eb2d1fb5aeff5f48182a040f81b6851..0000000000000000000000000000000000000000
--- a/spaces/alexrame/rewardedsoups/streamlit_app/data/locomotion/trajectories/2.html
+++ /dev/null
@@ -1,48 +0,0 @@
-
-<html>
-    <head>
-        <title>brax visualizer</title>
-        <style>
-            body {
-              margin: 0;
-              padding: 0;
-            }
-            #brax-viewer {
-              margin: 0;
-              padding: 0;
-              height: 300px;
-              width: 150px;
-            }
-        </style>
-    </head>
-    <body>
-        <script type="application/javascript">
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-0.33146676421165466, -0.07181946188211441], [0.957919180393219, 0.06564854085445404, -0.271169513463974, -0.06744085997343063], [0.8138085007667542, -0.336381196975708, -0.3721213936805725, 0.2934093475341797], [0.5390093326568604, -0.3290322422981262, -0.47817543148994446, 0.6103729009628296], [0.9199356436729431, 0.33344271779060364, -0.11910741031169891, -0.1683681756258011], [0.7939190864562988, 0.26129239797592163, 0.20958495140075684, 0.5074374675750732], [1.0, 0.0, 0.0, 0.0]], [[0.9562249779701233, 0.19841229915618896, 0.08949039876461029, 0.19559629261493683], [0.9489880204200745, 0.20324015617370605, -0.24054978787899017, 0.01584078185260296], [0.9698424339294434, -0.007462493609637022, -0.24097061157226562, -0.035821277648210526], [0.9926121830940247, 0.04400959238409996, -0.08396045863628387, 0.07572942227125168], [0.99398273229599, 0.04205544665455818, -0.06439905613660812, 0.07799112051725388], [0.9230387806892395, 0.08823889493942261, -0.36668139696121216, -0.07588192075490952], [0.9264457821846008, 0.08914775401353836, -0.35766422748565674, -0.0763373151421547], [0.8139415979385376, -0.324248731136322, -0.382233202457428, 0.29370003938674927], [0.5377717018127441, -0.31924211978912354, -0.4931727349758148, 0.6047039031982422], [0.9248587489128113, 0.3120969533920288, -0.13875818252563477, -0.16726624965667725], [0.8078647255897522, 0.23575516045093536, 0.20798827707767487, 0.49851274490356445], [1.0, 0.0, 0.0, 0.0]], [[0.9593590497970581, 0.18713530898094177, 0.07374493777751923, 0.19791986048221588], [0.9592210054397583, 0.18189507722854614, -0.21634222567081451, 0.0022851498797535896], [0.9753553867340088, 0.03340616449713707, -0.21634459495544434, -0.027583656832575798], [0.9954109191894531, 0.05621702969074249, -0.016526946797966957, 0.07565482705831528], [0.9952651262283325, 0.057681333273649216, 0.006439627148211002, 0.07796556502580643], [0.8990556001663208, 0.09896308183670044, -0.42085686326026917, -0.0691734179854393], [0.9056019186973572, 0.10345953702926636, -0.4054696261882782, -0.06910697370767593], [0.8098033666610718, -0.3189491331577301, -0.3934744894504547, 0.296087384223938], [0.5349927544593811, -0.3180961608886719, -0.5029557347297668, 0.5996943116188049], [0.9287441372871399, 0.2931464612483978, -0.15967147052288055, -0.1612592488527298], [0.8195080161094666, 0.20835073292255402, 0.2031482756137848, 0.4936877191066742], [1.0, 0.0, 0.0, 0.0]], [[0.9617882370948792, 0.17522846162319183, 0.056993626058101654, 0.2025097757577896], [0.9657821655273438, 0.16602502763271332, -0.198939710855484, -0.011109180748462677], [0.9740662574768066, 0.08580344915390015, -0.20765744149684906, -0.02666665054857731], [0.9941081404685974, 0.06936425715684891, 0.046848881989717484, 0.06886810064315796], [0.9905440807342529, 0.06761519610881805, 0.09501069039106369, 0.07227491587400436], [0.8789229393005371, 0.0931612178683281, -0.4651050865650177, -0.04992677643895149], [0.8942745923995972, 0.09645473212003708, -0.43437817692756653, -0.04780367761850357], [0.8071275353431702, -0.314558207988739, -0.4013890027999878, 0.2974645495414734], [0.5297718644142151, -0.3182670474052429, -0.5086893439292908, 0.5994023084640503], [0.931783139705658, 0.2773447632789612, -0.1776304692029953, -0.1526683121919632], [0.8263188004493713, 0.18478721380233765, 0.1993250697851181, 0.4932752847671509], [1.0, 0.0, 0.0, 0.0]], [[0.9621777534484863, 0.1672399640083313, 0.0504748560488224, 0.20903834700584412], [0.9588478207588196, 0.15770123898983002, -0.2344510406255722, -0.027816971763968468], [0.9647059440612793, 0.12188271433115005, -0.23049049079418182, -0.03689390793442726], [0.9908844232559204, 0.07775942981243134, 0.09425889700651169, 0.05671759322285652], [0.9761289954185486, 0.07246094197034836, 0.19373324513435364, 0.06625064462423325], [0.8734307289123535, 0.09590733796358109, -0.4764479398727417, -0.030297204852104187], [0.8845294117927551, 0.09357175976037979, -0.45624521374702454, -0.026314817368984222], [0.8053975105285645, -0.3098292648792267, -0.4075215756893158, 0.29877567291259766], [0.5212798118591309, -0.3123852610588074, -0.5179210901260376, 0.602030336856842], [0.9332273006439209, 0.26853421330451965, -0.18989208340644836, -0.14462770521640778], [0.8291295766830444, 0.16445377469062805, 0.19744174182415009, 0.4965038001537323], [1.0, 0.0, 0.0, 0.0]], [[0.9621819853782654, 0.16208875179290771, 0.032985392957925797, 0.21643751859664917], [0.9593944549560547, 0.1476108282804489, -0.23743955790996552, -0.03736104816198349], [0.9636063575744629, 0.12106903642416, -0.23491321504116058, -0.04026028886437416], [0.9870821833610535, 0.07673615962266922, 0.13586364686489105, 0.03634965792298317], [0.9604551792144775, 0.07215683907270432, 0.2647024393081665, 0.04745294153690338], [0.8668994903564453, 0.11423654109239578, -0.48456382751464844, -0.025164319202303886], [0.8741230368614197, 0.11291711777448654, -0.471919983625412, -0.02121860720217228], [0.8010304570198059, -0.3014993667602539, -0.4191620945930481, 0.3029051125049591], [0.5102106928825378, -0.30920442938804626, -0.5270026326179504, 0.6052651405334473], [0.9330576658248901, 0.26620155572891235, -0.2011745572090149, -0.13442069292068481], [0.8264448642730713, 0.15648409724235535, 0.19274884462356567, 0.505321204662323], [1.0, 0.0, 0.0, 0.0]]], "debug": false};
-        </script>
-        <div id="brax-viewer"></div>
-        <script type="module">
-          import {Viewer} from 'https://cdn.jsdelivr.net/gh/google/brax@v0.1.0/js/viewer.js';
-          const domElement = document.getElementById('brax-viewer');
-          var viewer = new Viewer(domElement, system);
-          viewer.camera.position.set(-4.0, 0.0, 1.0);
-          viewer.camera.follow = true;
-          viewer.camera.freezeAngle = false;
-          viewer.camera.followDistance = 2.5;
-
-          
-          const guiElement = viewer.gui.domElement;
-          guiElement.style.display = 'none';
-
-          for (let c of viewer.scene.children){
-            if (c.name == "ffoot" || c.name == "fshin" || c.name == "fthigh" || c.name == "bfoot" || c.name == "bshin" || c.name == "bthigh" || c.name == "torso" || c.name == "right_shin" || c.name == "left_shin" || c.name == "right_thigh" || c.name == "left_thigh" || c.name == "left_lower_arm" || c.name == "right_lower_arm" || c.name == "right_upper_arm" || c.name == "left_upper_arm" || c.name == "pelvis" || c.name == "lwaist" ){
-                for (let obj of c.children){
-                    if (!obj.children) continue;
-                        for (let obj2 of obj.children){
-                            obj2.material.color.setHex(0x00CC00);
-                        }
-                }
-            }
-          }
-        </script>
-    </body>
-</html>
diff --git a/spaces/alexray/btc_predictor/venv/lib/python3.10/site-packages/pip/_vendor/chardet/universaldetector.py b/spaces/alexray/btc_predictor/venv/lib/python3.10/site-packages/pip/_vendor/chardet/universaldetector.py
deleted file mode 100644
index 055a8ac1b1d21ed8d6d8c9a1217e79df9d1396c1..0000000000000000000000000000000000000000
--- a/spaces/alexray/btc_predictor/venv/lib/python3.10/site-packages/pip/_vendor/chardet/universaldetector.py
+++ /dev/null
@@ -1,286 +0,0 @@
-######################## BEGIN LICENSE BLOCK ########################
-# The Original Code is Mozilla Universal charset detector code.
-#
-# The Initial Developer of the Original Code is
-# Netscape Communications Corporation.
-# Portions created by the Initial Developer are Copyright (C) 2001
-# the Initial Developer. All Rights Reserved.
-#
-# Contributor(s):
-#   Mark Pilgrim - port to Python
-#   Shy Shalom - original C code
-#
-# This library is free software; you can redistribute it and/or
-# modify it under the terms of the GNU Lesser General Public
-# License as published by the Free Software Foundation; either
-# version 2.1 of the License, or (at your option) any later version.
-#
-# This library is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
-# Lesser General Public License for more details.
-#
-# You should have received a copy of the GNU Lesser General Public
-# License along with this library; if not, write to the Free Software
-# Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA
-# 02110-1301  USA
-######################### END LICENSE BLOCK #########################
-"""
-Module containing the UniversalDetector detector class, which is the primary
-class a user of ``chardet`` should use.
-
-:author: Mark Pilgrim (initial port to Python)
-:author: Shy Shalom (original C code)
-:author: Dan Blanchard (major refactoring for 3.0)
-:author: Ian Cordasco
-"""
-
-
-import codecs
-import logging
-import re
-
-from .charsetgroupprober import CharSetGroupProber
-from .enums import InputState, LanguageFilter, ProbingState
-from .escprober import EscCharSetProber
-from .latin1prober import Latin1Prober
-from .mbcsgroupprober import MBCSGroupProber
-from .sbcsgroupprober import SBCSGroupProber
-
-
-class UniversalDetector(object):
-    """
-    The ``UniversalDetector`` class underlies the ``chardet.detect`` function
-    and coordinates all of the different charset probers.
-
-    To get a ``dict`` containing an encoding and its confidence, you can simply
-    run:
-
-    .. code::
-
-            u = UniversalDetector()
-            u.feed(some_bytes)
-            u.close()
-            detected = u.result
-
-    """
-
-    MINIMUM_THRESHOLD = 0.20
-    HIGH_BYTE_DETECTOR = re.compile(b'[\x80-\xFF]')
-    ESC_DETECTOR = re.compile(b'(\033|~{)')
-    WIN_BYTE_DETECTOR = re.compile(b'[\x80-\x9F]')
-    ISO_WIN_MAP = {'iso-8859-1': 'Windows-1252',
-                   'iso-8859-2': 'Windows-1250',
-                   'iso-8859-5': 'Windows-1251',
-                   'iso-8859-6': 'Windows-1256',
-                   'iso-8859-7': 'Windows-1253',
-                   'iso-8859-8': 'Windows-1255',
-                   'iso-8859-9': 'Windows-1254',
-                   'iso-8859-13': 'Windows-1257'}
-
-    def __init__(self, lang_filter=LanguageFilter.ALL):
-        self._esc_charset_prober = None
-        self._charset_probers = []
-        self.result = None
-        self.done = None
-        self._got_data = None
-        self._input_state = None
-        self._last_char = None
-        self.lang_filter = lang_filter
-        self.logger = logging.getLogger(__name__)
-        self._has_win_bytes = None
-        self.reset()
-
-    def reset(self):
-        """
-        Reset the UniversalDetector and all of its probers back to their
-        initial states.  This is called by ``__init__``, so you only need to
-        call this directly in between analyses of different documents.
-        """
-        self.result = {'encoding': None, 'confidence': 0.0, 'language': None}
-        self.done = False
-        self._got_data = False
-        self._has_win_bytes = False
-        self._input_state = InputState.PURE_ASCII
-        self._last_char = b''
-        if self._esc_charset_prober:
-            self._esc_charset_prober.reset()
-        for prober in self._charset_probers:
-            prober.reset()
-
-    def feed(self, byte_str):
-        """
-        Takes a chunk of a document and feeds it through all of the relevant
-        charset probers.
-
-        After calling ``feed``, you can check the value of the ``done``
-        attribute to see if you need to continue feeding the
-        ``UniversalDetector`` more data, or if it has made a prediction
-        (in the ``result`` attribute).
-
-        .. note::
-           You should always call ``close`` when you're done feeding in your
-           document if ``done`` is not already ``True``.
-        """
-        if self.done:
-            return
-
-        if not len(byte_str):
-            return
-
-        if not isinstance(byte_str, bytearray):
-            byte_str = bytearray(byte_str)
-
-        # First check for known BOMs, since these are guaranteed to be correct
-        if not self._got_data:
-            # If the data starts with BOM, we know it is UTF
-            if byte_str.startswith(codecs.BOM_UTF8):
-                # EF BB BF  UTF-8 with BOM
-                self.result = {'encoding': "UTF-8-SIG",
-                               'confidence': 1.0,
-                               'language': ''}
-            elif byte_str.startswith((codecs.BOM_UTF32_LE,
-                                      codecs.BOM_UTF32_BE)):
-                # FF FE 00 00  UTF-32, little-endian BOM
-                # 00 00 FE FF  UTF-32, big-endian BOM
-                self.result = {'encoding': "UTF-32",
-                               'confidence': 1.0,
-                               'language': ''}
-            elif byte_str.startswith(b'\xFE\xFF\x00\x00'):
-                # FE FF 00 00  UCS-4, unusual octet order BOM (3412)
-                self.result = {'encoding': "X-ISO-10646-UCS-4-3412",
-                               'confidence': 1.0,
-                               'language': ''}
-            elif byte_str.startswith(b'\x00\x00\xFF\xFE'):
-                # 00 00 FF FE  UCS-4, unusual octet order BOM (2143)
-                self.result = {'encoding': "X-ISO-10646-UCS-4-2143",
-                               'confidence': 1.0,
-                               'language': ''}
-            elif byte_str.startswith((codecs.BOM_LE, codecs.BOM_BE)):
-                # FF FE  UTF-16, little endian BOM
-                # FE FF  UTF-16, big endian BOM
-                self.result = {'encoding': "UTF-16",
-                               'confidence': 1.0,
-                               'language': ''}
-
-            self._got_data = True
-            if self.result['encoding'] is not None:
-                self.done = True
-                return
-
-        # If none of those matched and we've only see ASCII so far, check
-        # for high bytes and escape sequences
-        if self._input_state == InputState.PURE_ASCII:
-            if self.HIGH_BYTE_DETECTOR.search(byte_str):
-                self._input_state = InputState.HIGH_BYTE
-            elif self._input_state == InputState.PURE_ASCII and \
-                    self.ESC_DETECTOR.search(self._last_char + byte_str):
-                self._input_state = InputState.ESC_ASCII
-
-        self._last_char = byte_str[-1:]
-
-        # If we've seen escape sequences, use the EscCharSetProber, which
-        # uses a simple state machine to check for known escape sequences in
-        # HZ and ISO-2022 encodings, since those are the only encodings that
-        # use such sequences.
-        if self._input_state == InputState.ESC_ASCII:
-            if not self._esc_charset_prober:
-                self._esc_charset_prober = EscCharSetProber(self.lang_filter)
-            if self._esc_charset_prober.feed(byte_str) == ProbingState.FOUND_IT:
-                self.result = {'encoding':
-                               self._esc_charset_prober.charset_name,
-                               'confidence':
-                               self._esc_charset_prober.get_confidence(),
-                               'language':
-                               self._esc_charset_prober.language}
-                self.done = True
-        # If we've seen high bytes (i.e., those with values greater than 127),
-        # we need to do more complicated checks using all our multi-byte and
-        # single-byte probers that are left.  The single-byte probers
-        # use character bigram distributions to determine the encoding, whereas
-        # the multi-byte probers use a combination of character unigram and
-        # bigram distributions.
-        elif self._input_state == InputState.HIGH_BYTE:
-            if not self._charset_probers:
-                self._charset_probers = [MBCSGroupProber(self.lang_filter)]
-                # If we're checking non-CJK encodings, use single-byte prober
-                if self.lang_filter & LanguageFilter.NON_CJK:
-                    self._charset_probers.append(SBCSGroupProber())
-                self._charset_probers.append(Latin1Prober())
-            for prober in self._charset_probers:
-                if prober.feed(byte_str) == ProbingState.FOUND_IT:
-                    self.result = {'encoding': prober.charset_name,
-                                   'confidence': prober.get_confidence(),
-                                   'language': prober.language}
-                    self.done = True
-                    break
-            if self.WIN_BYTE_DETECTOR.search(byte_str):
-                self._has_win_bytes = True
-
-    def close(self):
-        """
-        Stop analyzing the current document and come up with a final
-        prediction.
-
-        :returns:  The ``result`` attribute, a ``dict`` with the keys
-                   `encoding`, `confidence`, and `language`.
-        """
-        # Don't bother with checks if we're already done
-        if self.done:
-            return self.result
-        self.done = True
-
-        if not self._got_data:
-            self.logger.debug('no data received!')
-
-        # Default to ASCII if it is all we've seen so far
-        elif self._input_state == InputState.PURE_ASCII:
-            self.result = {'encoding': 'ascii',
-                           'confidence': 1.0,
-                           'language': ''}
-
-        # If we have seen non-ASCII, return the best that met MINIMUM_THRESHOLD
-        elif self._input_state == InputState.HIGH_BYTE:
-            prober_confidence = None
-            max_prober_confidence = 0.0
-            max_prober = None
-            for prober in self._charset_probers:
-                if not prober:
-                    continue
-                prober_confidence = prober.get_confidence()
-                if prober_confidence > max_prober_confidence:
-                    max_prober_confidence = prober_confidence
-                    max_prober = prober
-            if max_prober and (max_prober_confidence > self.MINIMUM_THRESHOLD):
-                charset_name = max_prober.charset_name
-                lower_charset_name = max_prober.charset_name.lower()
-                confidence = max_prober.get_confidence()
-                # Use Windows encoding name instead of ISO-8859 if we saw any
-                # extra Windows-specific bytes
-                if lower_charset_name.startswith('iso-8859'):
-                    if self._has_win_bytes:
-                        charset_name = self.ISO_WIN_MAP.get(lower_charset_name,
-                                                            charset_name)
-                self.result = {'encoding': charset_name,
-                               'confidence': confidence,
-                               'language': max_prober.language}
-
-        # Log all prober confidences if none met MINIMUM_THRESHOLD
-        if self.logger.getEffectiveLevel() <= logging.DEBUG:
-            if self.result['encoding'] is None:
-                self.logger.debug('no probers hit minimum threshold')
-                for group_prober in self._charset_probers:
-                    if not group_prober:
-                        continue
-                    if isinstance(group_prober, CharSetGroupProber):
-                        for prober in group_prober.probers:
-                            self.logger.debug('%s %s confidence = %s',
-                                              prober.charset_name,
-                                              prober.language,
-                                              prober.get_confidence())
-                    else:
-                        self.logger.debug('%s %s confidence = %s',
-                                          group_prober.charset_name,
-                                          group_prober.language,
-                                          group_prober.get_confidence())
-        return self.result
diff --git a/spaces/allknowingroger/Image-Models-Test102/README.md b/spaces/allknowingroger/Image-Models-Test102/README.md
deleted file mode 100644
index a7580cfac485f1d7eec4700a95a9b63925035db8..0000000000000000000000000000000000000000
--- a/spaces/allknowingroger/Image-Models-Test102/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: More Image Models
-emoji: 😻
-colorFrom: red
-colorTo: gray
-sdk: gradio
-sdk_version: 3.23.0
-app_file: app.py
-duplicated_from: allknowingroger/Image-Models-Test101
----
-
-<!--Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference-->
\ No newline at end of file
diff --git a/spaces/allknowingroger/Image-Models-Test38/README.md b/spaces/allknowingroger/Image-Models-Test38/README.md
deleted file mode 100644
index 402b103ebf89c18bcaa7aa4a25277b058e1f8ebd..0000000000000000000000000000000000000000
--- a/spaces/allknowingroger/Image-Models-Test38/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Image Models
-emoji: 👀
-colorFrom: red
-colorTo: gray
-sdk: gradio
-sdk_version: 3.23.0
-app_file: app.py
-pinned: true
-duplicated_from: allknowingroger/Image-Models-Test37
----
-
-<!--Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference-->
\ No newline at end of file
diff --git a/spaces/amarchheda/ChordDuplicate/portaudio/qa/loopback/src/paqa_tools.h b/spaces/amarchheda/ChordDuplicate/portaudio/qa/loopback/src/paqa_tools.h
deleted file mode 100644
index 77f6a2519c3c9961c0ae5c95f65176edd4fa7a1a..0000000000000000000000000000000000000000
--- a/spaces/amarchheda/ChordDuplicate/portaudio/qa/loopback/src/paqa_tools.h
+++ /dev/null
@@ -1,52 +0,0 @@
-
-/*
- * PortAudio Portable Real-Time Audio Library
- * Latest Version at: http://www.portaudio.com
- *
- * Copyright (c) 1999-2010 Phil Burk and Ross Bencina
- *
- * Permission is hereby granted, free of charge, to any person obtaining
- * a copy of this software and associated documentation files
- * (the "Software"), to deal in the Software without restriction,
- * including without limitation the rights to use, copy, modify, merge,
- * publish, distribute, sublicense, and/or sell copies of the Software,
- * and to permit persons to whom the Software is furnished to do so,
- * subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be
- * included in all copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
- * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
- * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
- * IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR
- * ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
- * CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
- * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
- */
-
-/*
- * The text above constitutes the entire PortAudio license; however,
- * the PortAudio community also makes the following non-binding requests:
- *
- * Any person wishing to distribute modifications to the Software is
- * requested to send the modifications to the original developer so that
- * they can be incorporated into the canonical version. It is also
- * requested that these non-binding requests be included along with the
- * license above.
- */
-
-#ifndef _PAQA_TOOLS_H
-#define _PAQA_TOOLS_H
-
-
-#include <stdio.h>
-#include "portaudio.h"
-
-void PaQa_ListAudioDevices(void);
-
-void PaQa_ConvertToFloat( const void *input, int numSamples, PaSampleFormat inFormat, float *output );
-
-void PaQa_ConvertFromFloat( const float *input, int numSamples, PaSampleFormat outFormat, void *output );
-
-#endif /* _PAQA_TOOLS_H */
diff --git a/spaces/amarchheda/ChordDuplicate/portaudio/src/hostapi/wasapi/mingw-include/ksmedia.h b/spaces/amarchheda/ChordDuplicate/portaudio/src/hostapi/wasapi/mingw-include/ksmedia.h
deleted file mode 100644
index f029b017f402efb6de349bcdd724593139f8d82e..0000000000000000000000000000000000000000
--- a/spaces/amarchheda/ChordDuplicate/portaudio/src/hostapi/wasapi/mingw-include/ksmedia.h
+++ /dev/null
@@ -1,4610 +0,0 @@
-/**
- * This file has no copyright assigned and is placed in the Public Domain.
- * This file is part of the w64 mingw-runtime package.
- * No warranty is given; refer to the file DISCLAIMER.PD within this package.
- */
-#if !defined(_KS_)
-#warning ks.h must be included before ksmedia.h
-#include "ks.h"
-#endif
-
-#if __GNUC__ >= 3
-#pragma GCC system_header
-#endif
-
-#if !defined(_KSMEDIA_)
-#define _KSMEDIA_
-
-typedef struct {
-  KSPROPERTY Property;
-  KSMULTIPLE_ITEM MultipleItem;
-} KSMULTIPLE_DATA_PROP,*PKSMULTIPLE_DATA_PROP;
-
-#define STATIC_KSMEDIUMSETID_MidiBus					\
-	0x05908040L,0x3246,0x11D0,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("05908040-3246-11D0-A5D6-28DB04C10000",KSMEDIUMSETID_MidiBus);
-#define KSMEDIUMSETID_MidiBus DEFINE_GUIDNAMED(KSMEDIUMSETID_MidiBus)
-
-#define STATIC_KSMEDIUMSETID_VPBus					\
-	0xA18C15ECL,0xCE43,0x11D0,0xAB,0xE7,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("A18C15EC-CE43-11D0-ABE7-00A0C9223196",KSMEDIUMSETID_VPBus);
-#define KSMEDIUMSETID_VPBus DEFINE_GUIDNAMED(KSMEDIUMSETID_VPBus)
-
-#define STATIC_KSINTERFACESETID_Media					\
-	0x3A13EB40L,0x30A7,0x11D0,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("3A13EB40-30A7-11D0-A5D6-28DB04C10000",KSINTERFACESETID_Media);
-#define KSINTERFACESETID_Media DEFINE_GUIDNAMED(KSINTERFACESETID_Media)
-
-typedef enum {
-  KSINTERFACE_MEDIA_MUSIC,
-  KSINTERFACE_MEDIA_WAVE_BUFFERED,
-  KSINTERFACE_MEDIA_WAVE_QUEUED
-} KSINTERFACE_MEDIA;
-
-#ifndef INIT_USBAUDIO_MID
-#define INIT_USBAUDIO_MID(guid,id)					\
-{									\
-	(guid)->Data1 = 0x4e1cecd2 + (USHORT)(id);			\
-	(guid)->Data2 = 0x1679;						\
-	(guid)->Data3 = 0x463b;						\
-	(guid)->Data4[0] = 0xa7;					\
-	(guid)->Data4[1] = 0x2f;					\
-	(guid)->Data4[2] = 0xa5;					\
-	(guid)->Data4[3] = 0xbf;					\
-	(guid)->Data4[4] = 0x64;					\
-	(guid)->Data4[5] = 0xc8;					\
-	(guid)->Data4[6] = 0x6e;					\
-	(guid)->Data4[7] = 0xba;					\
-}
-#define EXTRACT_USBAUDIO_MID(guid)					\
-	(USHORT)((guid)->Data1 - 0x4e1cecd2)
-#define DEFINE_USBAUDIO_MID_GUID(id)					\
-	0x4e1cecd2+(USHORT)(id),0x1679,0x463b,0xa7,0x2f,0xa5,0xbf,0x64,0xc8,0x6e,0xba
-#define IS_COMPATIBLE_USBAUDIO_MID(guid)				\
-	(((guid)->Data1 >= 0x4e1cecd2) &&				\
-	 ((guid)->Data1 < 0x4e1cecd2 + 0xffff) &&			\
-	 ((guid)->Data2 == 0x1679) &&					\
-	 ((guid)->Data3 == 0x463b) &&					\
-	 ((guid)->Data4[0] == 0xa7) &&					\
-	 ((guid)->Data4[1] == 0x2f) &&					\
-	 ((guid)->Data4[2] == 0xa5) &&					\
-	 ((guid)->Data4[3] == 0xbf) &&					\
-	 ((guid)->Data4[4] == 0x64) &&					\
-	 ((guid)->Data4[5] == 0xc8) &&					\
-	 ((guid)->Data4[6] == 0x6e) &&					\
-	 ((guid)->Data4[7] == 0xba) )
-#endif /* INIT_USBAUDIO_MID */
-
-#ifndef INIT_USBAUDIO_PID
-#define INIT_USBAUDIO_PID(guid,id)					\
-{									\
-	(guid)->Data1 = 0xabcc5a5e + (USHORT)(id);			\
-	(guid)->Data2 = 0xc263;						\
-	(guid)->Data3 = 0x463b;						\
-	(guid)->Data4[0] = 0xa7;					\
-	(guid)->Data4[1] = 0x2f;					\
-	(guid)->Data4[2] = 0xa5;					\
-	(guid)->Data4[3] = 0xbf;					\
-	(guid)->Data4[4] = 0x64;					\
-	(guid)->Data4[5] = 0xc8;					\
-	(guid)->Data4[6] = 0x6e;					\
-	(guid)->Data4[7] = 0xba;					\
-}
-#define EXTRACT_USBAUDIO_PID(guid)					\
-	(USHORT)((guid)->Data1 - 0xabcc5a5e)
-#define DEFINE_USBAUDIO_PID_GUID(id)					\
-	0xabcc5a5e+(USHORT)(id),0xc263,0x463b,0xa7,0x2f,0xa5,0xbf,0x64,0xc8,0x6e,0xba
-#define IS_COMPATIBLE_USBAUDIO_PID(guid)				\
-	(((guid)->Data1 >= 0xabcc5a5e) &&				\
-	 ((guid)->Data1 < 0xabcc5a5e + 0xffff) &&			\
-	 ((guid)->Data2 == 0xc263) &&					\
-	 ((guid)->Data3 == 0x463b) &&					\
-	 ((guid)->Data4[0] == 0xa7) &&					\
-	 ((guid)->Data4[1] == 0x2f) &&					\
-	 ((guid)->Data4[2] == 0xa5) &&					\
-	 ((guid)->Data4[3] == 0xbf) &&					\
-	 ((guid)->Data4[4] == 0x64) &&					\
-	 ((guid)->Data4[5] == 0xc8) &&					\
-	 ((guid)->Data4[6] == 0x6e) &&					\
-	 ((guid)->Data4[7] == 0xba) )
-#endif /* INIT_USBAUDIO_PID */
-
-#ifndef INIT_USBAUDIO_PRODUCT_NAME
-#define INIT_USBAUDIO_PRODUCT_NAME(guid,vid,pid,strIndex)		\
-{									\
-	(guid)->Data1 = 0XFC575048 + (USHORT)(vid);			\
-	(guid)->Data2 = 0x2E08 + (USHORT)(pid);				\
-	(guid)->Data3 = 0x463B + (USHORT)(strIndex);			\
-	(guid)->Data4[0] = 0xA7;					\
-	(guid)->Data4[1] = 0x2F;					\
-	(guid)->Data4[2] = 0xA5;					\
-	(guid)->Data4[3] = 0xBF;					\
-	(guid)->Data4[4] = 0x64;					\
-	(guid)->Data4[5] = 0xC8;					\
-	(guid)->Data4[6] = 0x6E;					\
-	(guid)->Data4[7] = 0xBA;					\
-}
-#define DEFINE_USBAUDIO_PRODUCT_NAME(vid,pid,strIndex)			\
-	0xFC575048+(USHORT)(vid),0x2E08+(USHORT)(pid),0x463B+(USHORT)(strIndex),0xA7,0x2F,0xA5,0xBF,0x64,0xC8,0x6E,0xBA
-#endif /* INIT_USBAUDIO_PRODUCT_NAME */
-
-#define STATIC_KSCOMPONENTID_USBAUDIO					\
-	0x8F1275F0,0x26E9,0x4264,0xBA,0x4D,0x39,0xFF,0xF0,0x1D,0x94,0xAA
-DEFINE_GUIDSTRUCT("8F1275F0-26E9-4264-BA4D-39FFF01D94AA",KSCOMPONENTID_USBAUDIO);
-#define KSCOMPONENTID_USBAUDIO DEFINE_GUIDNAMED(KSCOMPONENTID_USBAUDIO)
-
-#define INIT_USB_TERMINAL(guid,id)					\
-{									\
-	(guid)->Data1 = 0xDFF219E0 + (USHORT)(id);			\
-	(guid)->Data2 = 0xF70F;						\
-	(guid)->Data3 = 0x11D0;						\
-	(guid)->Data4[0] = 0xb9;					\
-	(guid)->Data4[1] = 0x17;					\
-	(guid)->Data4[2] = 0x00;					\
-	(guid)->Data4[3] = 0xa0;					\
-	(guid)->Data4[4] = 0xc9;					\
-	(guid)->Data4[5] = 0x22;					\
-	(guid)->Data4[6] = 0x31;					\
-	(guid)->Data4[7] = 0x96;					\
-}
-#define EXTRACT_USB_TERMINAL(guid)					\
-	(USHORT)((guid)->Data1 - 0xDFF219E0)
-#define DEFINE_USB_TERMINAL_GUID(id)					\
-	0xDFF219E0+(USHORT)(id),0xF70F,0x11D0,0xB9,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-
-#define STATIC_KSNODETYPE_MICROPHONE					\
-	DEFINE_USB_TERMINAL_GUID(0x0201)
-DEFINE_GUIDSTRUCT("DFF21BE1-F70F-11D0-B917-00A0C9223196",KSNODETYPE_MICROPHONE);
-#define KSNODETYPE_MICROPHONE DEFINE_GUIDNAMED(KSNODETYPE_MICROPHONE)
-
-#define STATIC_KSNODETYPE_DESKTOP_MICROPHONE				\
-	DEFINE_USB_TERMINAL_GUID(0x0202)
-DEFINE_GUIDSTRUCT("DFF21BE2-F70F-11D0-B917-00A0C9223196",KSNODETYPE_DESKTOP_MICROPHONE);
-#define KSNODETYPE_DESKTOP_MICROPHONE DEFINE_GUIDNAMED(KSNODETYPE_DESKTOP_MICROPHONE)
-
-#define STATIC_KSNODETYPE_PERSONAL_MICROPHONE				\
-	DEFINE_USB_TERMINAL_GUID(0x0203)
-DEFINE_GUIDSTRUCT("DFF21BE3-F70F-11D0-B917-00A0C9223196",KSNODETYPE_PERSONAL_MICROPHONE);
-#define KSNODETYPE_PERSONAL_MICROPHONE DEFINE_GUIDNAMED(KSNODETYPE_PERSONAL_MICROPHONE)
-
-#define STATIC_KSNODETYPE_OMNI_DIRECTIONAL_MICROPHONE			\
-	DEFINE_USB_TERMINAL_GUID(0x0204)
-DEFINE_GUIDSTRUCT("DFF21BE4-F70F-11D0-B917-00A0C9223196",KSNODETYPE_OMNI_DIRECTIONAL_MICROPHONE);
-#define KSNODETYPE_OMNI_DIRECTIONAL_MICROPHONE DEFINE_GUIDNAMED(KSNODETYPE_OMNI_DIRECTIONAL_MICROPHONE)
-
-#define STATIC_KSNODETYPE_MICROPHONE_ARRAY				\
-	DEFINE_USB_TERMINAL_GUID(0x0205)
-DEFINE_GUIDSTRUCT("DFF21BE5-F70F-11D0-B917-00A0C9223196",KSNODETYPE_MICROPHONE_ARRAY);
-#define KSNODETYPE_MICROPHONE_ARRAY DEFINE_GUIDNAMED(KSNODETYPE_MICROPHONE_ARRAY)
-
-#define STATIC_KSNODETYPE_PROCESSING_MICROPHONE_ARRAY			\
-	DEFINE_USB_TERMINAL_GUID(0x0206)
-DEFINE_GUIDSTRUCT("DFF21BE6-F70F-11D0-B917-00A0C9223196",KSNODETYPE_PROCESSING_MICROPHONE_ARRAY);
-#define KSNODETYPE_PROCESSING_MICROPHONE_ARRAY DEFINE_GUIDNAMED(KSNODETYPE_PROCESSING_MICROPHONE_ARRAY)
-
-#define STATIC_KSCATEGORY_MICROPHONE_ARRAY_PROCESSOR			\
-	0x830a44f2,0xa32d,0x476b,0xbe,0x97,0x42,0x84,0x56,0x73,0xb3,0x5a
-DEFINE_GUIDSTRUCT("830a44f2-a32d-476b-be97-42845673b35a",KSCATEGORY_MICROPHONE_ARRAY_PROCESSOR);
-#define KSCATEGORY_MICROPHONE_ARRAY_PROCESSOR DEFINE_GUIDNAMED(KSCATEGORY_MICROPHONE_ARRAY_PROCESSOR)
-
-#define STATIC_KSNODETYPE_SPEAKER					\
-	DEFINE_USB_TERMINAL_GUID(0x0301)
-DEFINE_GUIDSTRUCT("DFF21CE1-F70F-11D0-B917-00A0C9223196",KSNODETYPE_SPEAKER);
-#define KSNODETYPE_SPEAKER DEFINE_GUIDNAMED(KSNODETYPE_SPEAKER)
-
-#define STATIC_KSNODETYPE_HEADPHONES					\
-	DEFINE_USB_TERMINAL_GUID(0x0302)
-DEFINE_GUIDSTRUCT("DFF21CE2-F70F-11D0-B917-00A0C9223196",KSNODETYPE_HEADPHONES);
-#define KSNODETYPE_HEADPHONES DEFINE_GUIDNAMED(KSNODETYPE_HEADPHONES)
-
-#define STATIC_KSNODETYPE_HEAD_MOUNTED_DISPLAY_AUDIO			\
-	DEFINE_USB_TERMINAL_GUID(0x0303)
-DEFINE_GUIDSTRUCT("DFF21CE3-F70F-11D0-B917-00A0C9223196",KSNODETYPE_HEAD_MOUNTED_DISPLAY_AUDIO);
-#define KSNODETYPE_HEAD_MOUNTED_DISPLAY_AUDIO DEFINE_GUIDNAMED(KSNODETYPE_HEAD_MOUNTED_DISPLAY_AUDIO)
-
-#define STATIC_KSNODETYPE_DESKTOP_SPEAKER				\
-	DEFINE_USB_TERMINAL_GUID(0x0304)
-DEFINE_GUIDSTRUCT("DFF21CE4-F70F-11D0-B917-00A0C9223196",KSNODETYPE_DESKTOP_SPEAKER);
-#define KSNODETYPE_DESKTOP_SPEAKER DEFINE_GUIDNAMED(KSNODETYPE_DESKTOP_SPEAKER)
-
-#define STATIC_KSNODETYPE_ROOM_SPEAKER					\
-	DEFINE_USB_TERMINAL_GUID(0x0305)
-DEFINE_GUIDSTRUCT("DFF21CE5-F70F-11D0-B917-00A0C9223196",KSNODETYPE_ROOM_SPEAKER);
-#define KSNODETYPE_ROOM_SPEAKER DEFINE_GUIDNAMED(KSNODETYPE_ROOM_SPEAKER)
-
-#define STATIC_KSNODETYPE_COMMUNICATION_SPEAKER				\
-	DEFINE_USB_TERMINAL_GUID(0x0306)
-DEFINE_GUIDSTRUCT("DFF21CE6-F70F-11D0-B917-00A0C9223196",KSNODETYPE_COMMUNICATION_SPEAKER);
-#define KSNODETYPE_COMMUNICATION_SPEAKER DEFINE_GUIDNAMED(KSNODETYPE_COMMUNICATION_SPEAKER)
-
-#define STATIC_KSNODETYPE_LOW_FREQUENCY_EFFECTS_SPEAKER			\
-	DEFINE_USB_TERMINAL_GUID(0x0307)
-DEFINE_GUIDSTRUCT("DFF21CE7-F70F-11D0-B917-00A0C9223196",KSNODETYPE_LOW_FREQUENCY_EFFECTS_SPEAKER);
-#define KSNODETYPE_LOW_FREQUENCY_EFFECTS_SPEAKER DEFINE_GUIDNAMED(KSNODETYPE_LOW_FREQUENCY_EFFECTS_SPEAKER)
-
-#define STATIC_KSNODETYPE_HANDSET					\
-	DEFINE_USB_TERMINAL_GUID(0x0401)
-DEFINE_GUIDSTRUCT("DFF21DE1-F70F-11D0-B917-00A0C9223196",KSNODETYPE_HANDSET);
-#define KSNODETYPE_HANDSET DEFINE_GUIDNAMED(KSNODETYPE_HANDSET)
-
-#define STATIC_KSNODETYPE_HEADSET					\
-	DEFINE_USB_TERMINAL_GUID(0x0402)
-DEFINE_GUIDSTRUCT("DFF21DE2-F70F-11D0-B917-00A0C9223196",KSNODETYPE_HEADSET);
-#define KSNODETYPE_HEADSET DEFINE_GUIDNAMED(KSNODETYPE_HEADSET)
-
-#define STATIC_KSNODETYPE_SPEAKERPHONE_NO_ECHO_REDUCTION		\
-	DEFINE_USB_TERMINAL_GUID(0x0403)
-DEFINE_GUIDSTRUCT("DFF21DE3-F70F-11D0-B917-00A0C9223196",KSNODETYPE_SPEAKERPHONE_NO_ECHO_REDUCTION);
-#define KSNODETYPE_SPEAKERPHONE_NO_ECHO_REDUCTION DEFINE_GUIDNAMED(KSNODETYPE_SPEAKERPHONE_NO_ECHO_REDUCTION)
-
-#define STATIC_KSNODETYPE_ECHO_SUPPRESSING_SPEAKERPHONE			\
-	DEFINE_USB_TERMINAL_GUID(0x0404)
-DEFINE_GUIDSTRUCT("DFF21DE4-F70F-11D0-B917-00A0C9223196",KSNODETYPE_ECHO_SUPPRESSING_SPEAKERPHONE);
-#define KSNODETYPE_ECHO_SUPPRESSING_SPEAKERPHONE DEFINE_GUIDNAMED(KSNODETYPE_ECHO_SUPPRESSING_SPEAKERPHONE)
-
-#define STATIC_KSNODETYPE_ECHO_CANCELING_SPEAKERPHONE			\
-	DEFINE_USB_TERMINAL_GUID(0x0405)
-DEFINE_GUIDSTRUCT("DFF21DE5-F70F-11D0-B917-00A0C9223196",KSNODETYPE_ECHO_CANCELING_SPEAKERPHONE);
-#define KSNODETYPE_ECHO_CANCELING_SPEAKERPHONE DEFINE_GUIDNAMED(KSNODETYPE_ECHO_CANCELING_SPEAKERPHONE)
-
-#define STATIC_KSNODETYPE_PHONE_LINE					\
-	DEFINE_USB_TERMINAL_GUID(0x0501)
-DEFINE_GUIDSTRUCT("DFF21EE1-F70F-11D0-B917-00A0C9223196",KSNODETYPE_PHONE_LINE);
-#define KSNODETYPE_PHONE_LINE DEFINE_GUIDNAMED(KSNODETYPE_PHONE_LINE)
-
-#define STATIC_KSNODETYPE_TELEPHONE					\
-	DEFINE_USB_TERMINAL_GUID(0x0502)
-DEFINE_GUIDSTRUCT("DFF21EE2-F70F-11D0-B917-00A0C9223196",KSNODETYPE_TELEPHONE);
-#define KSNODETYPE_TELEPHONE DEFINE_GUIDNAMED(KSNODETYPE_TELEPHONE)
-
-#define STATIC_KSNODETYPE_DOWN_LINE_PHONE				\
-	DEFINE_USB_TERMINAL_GUID(0x0503)
-DEFINE_GUIDSTRUCT("DFF21EE3-F70F-11D0-B917-00A0C9223196",KSNODETYPE_DOWN_LINE_PHONE);
-#define KSNODETYPE_DOWN_LINE_PHONE DEFINE_GUIDNAMED(KSNODETYPE_DOWN_LINE_PHONE)
-
-#define STATIC_KSNODETYPE_ANALOG_CONNECTOR				\
-	DEFINE_USB_TERMINAL_GUID(0x601)
-DEFINE_GUIDSTRUCT("DFF21FE1-F70F-11D0-B917-00A0C9223196",KSNODETYPE_ANALOG_CONNECTOR);
-#define KSNODETYPE_ANALOG_CONNECTOR DEFINE_GUIDNAMED(KSNODETYPE_ANALOG_CONNECTOR)
-
-#define STATIC_KSNODETYPE_DIGITAL_AUDIO_INTERFACE			\
-	DEFINE_USB_TERMINAL_GUID(0x0602)
-DEFINE_GUIDSTRUCT("DFF21FE2-F70F-11D0-B917-00A0C9223196",KSNODETYPE_DIGITAL_AUDIO_INTERFACE);
-#define KSNODETYPE_DIGITAL_AUDIO_INTERFACE DEFINE_GUIDNAMED(KSNODETYPE_DIGITAL_AUDIO_INTERFACE)
-
-#define STATIC_KSNODETYPE_LINE_CONNECTOR				\
-	DEFINE_USB_TERMINAL_GUID(0x0603)
-DEFINE_GUIDSTRUCT("DFF21FE3-F70F-11D0-B917-00A0C9223196",KSNODETYPE_LINE_CONNECTOR);
-#define KSNODETYPE_LINE_CONNECTOR DEFINE_GUIDNAMED(KSNODETYPE_LINE_CONNECTOR)
-
-#define STATIC_KSNODETYPE_LEGACY_AUDIO_CONNECTOR			\
-	DEFINE_USB_TERMINAL_GUID(0x0604)
-DEFINE_GUIDSTRUCT("DFF21FE4-F70F-11D0-B917-00A0C9223196",KSNODETYPE_LEGACY_AUDIO_CONNECTOR);
-#define KSNODETYPE_LEGACY_AUDIO_CONNECTOR DEFINE_GUIDNAMED(KSNODETYPE_LEGACY_AUDIO_CONNECTOR)
-
-#define STATIC_KSNODETYPE_SPDIF_INTERFACE				\
-	DEFINE_USB_TERMINAL_GUID(0x0605)
-DEFINE_GUIDSTRUCT("DFF21FE5-F70F-11D0-B917-00A0C9223196",KSNODETYPE_SPDIF_INTERFACE);
-#define KSNODETYPE_SPDIF_INTERFACE DEFINE_GUIDNAMED(KSNODETYPE_SPDIF_INTERFACE)
-
-#define STATIC_KSNODETYPE_1394_DA_STREAM				\
-	DEFINE_USB_TERMINAL_GUID(0x0606)
-DEFINE_GUIDSTRUCT("DFF21FE6-F70F-11D0-B917-00A0C9223196",KSNODETYPE_1394_DA_STREAM);
-#define KSNODETYPE_1394_DA_STREAM DEFINE_GUIDNAMED(KSNODETYPE_1394_DA_STREAM)
-
-#define STATIC_KSNODETYPE_1394_DV_STREAM_SOUNDTRACK			\
-	DEFINE_USB_TERMINAL_GUID(0x0607)
-DEFINE_GUIDSTRUCT("DFF21FE7-F70F-11D0-B917-00A0C9223196",KSNODETYPE_1394_DV_STREAM_SOUNDTRACK);
-#define KSNODETYPE_1394_DV_STREAM_SOUNDTRACK DEFINE_GUIDNAMED(KSNODETYPE_1394_DV_STREAM_SOUNDTRACK)
-
-#define STATIC_KSNODETYPE_LEVEL_CALIBRATION_NOISE_SOURCE		\
-	DEFINE_USB_TERMINAL_GUID(0x0701)
-DEFINE_GUIDSTRUCT("DFF220E1-F70F-11D0-B917-00A0C9223196",KSNODETYPE_LEVEL_CALIBRATION_NOISE_SOURCE);
-#define KSNODETYPE_LEVEL_CALIBRATION_NOISE_SOURCE DEFINE_GUIDNAMED(KSNODETYPE_LEVEL_CALIBRATION_NOISE_SOURCE)
-
-#define STATIC_KSNODETYPE_EQUALIZATION_NOISE				\
-	DEFINE_USB_TERMINAL_GUID(0x0702)
-DEFINE_GUIDSTRUCT("DFF220E2-F70F-11D0-B917-00A0C9223196",KSNODETYPE_EQUALIZATION_NOISE);
-#define KSNODETYPE_EQUALIZATION_NOISE DEFINE_GUIDNAMED(KSNODETYPE_EQUALIZATION_NOISE)
-
-#define STATIC_KSNODETYPE_CD_PLAYER					\
-	DEFINE_USB_TERMINAL_GUID(0x0703)
-DEFINE_GUIDSTRUCT("DFF220E3-F70F-11D0-B917-00A0C9223196",KSNODETYPE_CD_PLAYER);
-#define KSNODETYPE_CD_PLAYER DEFINE_GUIDNAMED(KSNODETYPE_CD_PLAYER)
-
-#define STATIC_KSNODETYPE_DAT_IO_DIGITAL_AUDIO_TAPE			\
-	DEFINE_USB_TERMINAL_GUID(0x0704)
-DEFINE_GUIDSTRUCT("DFF220E4-F70F-11D0-B917-00A0C9223196",KSNODETYPE_DAT_IO_DIGITAL_AUDIO_TAPE);
-#define KSNODETYPE_DAT_IO_DIGITAL_AUDIO_TAPE DEFINE_GUIDNAMED(KSNODETYPE_DAT_IO_DIGITAL_AUDIO_TAPE)
-
-#define STATIC_KSNODETYPE_DCC_IO_DIGITAL_COMPACT_CASSETTE		\
-	DEFINE_USB_TERMINAL_GUID(0x0705)
-DEFINE_GUIDSTRUCT("DFF220E5-F70F-11D0-B917-00A0C9223196",KSNODETYPE_DCC_IO_DIGITAL_COMPACT_CASSETTE);
-#define KSNODETYPE_DCC_IO_DIGITAL_COMPACT_CASSETTE DEFINE_GUIDNAMED(KSNODETYPE_DCC_IO_DIGITAL_COMPACT_CASSETTE)
-
-#define STATIC_KSNODETYPE_MINIDISK					\
-	DEFINE_USB_TERMINAL_GUID(0x0706)
-DEFINE_GUIDSTRUCT("DFF220E6-F70F-11D0-B917-00A0C9223196",KSNODETYPE_MINIDISK);
-#define KSNODETYPE_MINIDISK DEFINE_GUIDNAMED(KSNODETYPE_MINIDISK)
-
-#define STATIC_KSNODETYPE_ANALOG_TAPE					\
-	DEFINE_USB_TERMINAL_GUID(0x0707)
-DEFINE_GUIDSTRUCT("DFF220E7-F70F-11D0-B917-00A0C9223196",KSNODETYPE_ANALOG_TAPE);
-#define KSNODETYPE_ANALOG_TAPE DEFINE_GUIDNAMED(KSNODETYPE_ANALOG_TAPE)
-
-#define STATIC_KSNODETYPE_PHONOGRAPH					\
-	DEFINE_USB_TERMINAL_GUID(0x0708)
-DEFINE_GUIDSTRUCT("DFF220E8-F70F-11D0-B917-00A0C9223196",KSNODETYPE_PHONOGRAPH);
-#define KSNODETYPE_PHONOGRAPH DEFINE_GUIDNAMED(KSNODETYPE_PHONOGRAPH)
-
-#define STATIC_KSNODETYPE_VCR_AUDIO					\
-	DEFINE_USB_TERMINAL_GUID(0x0708)
-DEFINE_GUIDSTRUCT("DFF220E9-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VCR_AUDIO);
-#define KSNODETYPE_VCR_AUDIO DEFINE_GUIDNAMED(KSNODETYPE_VCR_AUDIO)
-
-#define STATIC_KSNODETYPE_VIDEO_DISC_AUDIO				\
-	DEFINE_USB_TERMINAL_GUID(0x070A)
-DEFINE_GUIDSTRUCT("DFF220EA-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VIDEO_DISC_AUDIO);
-#define KSNODETYPE_VIDEO_DISC_AUDIO DEFINE_GUIDNAMED(KSNODETYPE_VIDEO_DISC_AUDIO)
-
-#define STATIC_KSNODETYPE_DVD_AUDIO					\
-	DEFINE_USB_TERMINAL_GUID(0x070B)
-DEFINE_GUIDSTRUCT("DFF220EB-F70F-11D0-B917-00A0C9223196",KSNODETYPE_DVD_AUDIO);
-#define KSNODETYPE_DVD_AUDIO DEFINE_GUIDNAMED(KSNODETYPE_DVD_AUDIO)
-
-#define STATIC_KSNODETYPE_TV_TUNER_AUDIO				\
-	DEFINE_USB_TERMINAL_GUID(0x070C)
-DEFINE_GUIDSTRUCT("DFF220EC-F70F-11D0-B917-00A0C9223196",KSNODETYPE_TV_TUNER_AUDIO);
-#define KSNODETYPE_TV_TUNER_AUDIO DEFINE_GUIDNAMED(KSNODETYPE_TV_TUNER_AUDIO)
-
-#define STATIC_KSNODETYPE_SATELLITE_RECEIVER_AUDIO			\
-	DEFINE_USB_TERMINAL_GUID(0x070D)
-DEFINE_GUIDSTRUCT("DFF220ED-F70F-11D0-B917-00A0C9223196",KSNODETYPE_SATELLITE_RECEIVER_AUDIO);
-#define KSNODETYPE_SATELLITE_RECEIVER_AUDIO DEFINE_GUIDNAMED(KSNODETYPE_SATELLITE_RECEIVER_AUDIO)
-
-#define STATIC_KSNODETYPE_CABLE_TUNER_AUDIO				\
-	DEFINE_USB_TERMINAL_GUID(0x070E)
-DEFINE_GUIDSTRUCT("DFF220EE-F70F-11D0-B917-00A0C9223196",KSNODETYPE_CABLE_TUNER_AUDIO);
-#define KSNODETYPE_CABLE_TUNER_AUDIO DEFINE_GUIDNAMED(KSNODETYPE_CABLE_TUNER_AUDIO)
-
-#define STATIC_KSNODETYPE_DSS_AUDIO					\
-	DEFINE_USB_TERMINAL_GUID(0x070F)
-DEFINE_GUIDSTRUCT("DFF220EF-F70F-11D0-B917-00A0C9223196",KSNODETYPE_DSS_AUDIO);
-#define KSNODETYPE_DSS_AUDIO DEFINE_GUIDNAMED(KSNODETYPE_DSS_AUDIO)
-
-#define STATIC_KSNODETYPE_RADIO_RECEIVER				\
-	DEFINE_USB_TERMINAL_GUID(0x0710)
-DEFINE_GUIDSTRUCT("DFF220F0-F70F-11D0-B917-00A0C9223196",KSNODETYPE_RADIO_RECEIVER);
-#define KSNODETYPE_RADIO_RECEIVER DEFINE_GUIDNAMED(KSNODETYPE_RADIO_RECEIVER)
-
-#define STATIC_KSNODETYPE_RADIO_TRANSMITTER				\
-	DEFINE_USB_TERMINAL_GUID(0x0711)
-DEFINE_GUIDSTRUCT("DFF220F1-F70F-11D0-B917-00A0C9223196",KSNODETYPE_RADIO_TRANSMITTER);
-#define KSNODETYPE_RADIO_TRANSMITTER DEFINE_GUIDNAMED(KSNODETYPE_RADIO_TRANSMITTER)
-
-#define STATIC_KSNODETYPE_MULTITRACK_RECORDER				\
-	DEFINE_USB_TERMINAL_GUID(0x0712)
-DEFINE_GUIDSTRUCT("DFF220F2-F70F-11D0-B917-00A0C9223196",KSNODETYPE_MULTITRACK_RECORDER);
-#define KSNODETYPE_MULTITRACK_RECORDER DEFINE_GUIDNAMED(KSNODETYPE_MULTITRACK_RECORDER)
-
-#define STATIC_KSNODETYPE_SYNTHESIZER					\
-	DEFINE_USB_TERMINAL_GUID(0x0713)
-DEFINE_GUIDSTRUCT("DFF220F3-F70F-11D0-B917-00A0C9223196",KSNODETYPE_SYNTHESIZER);
-#define KSNODETYPE_SYNTHESIZER DEFINE_GUIDNAMED(KSNODETYPE_SYNTHESIZER)
-
-#define STATIC_KSNODETYPE_SWSYNTH					\
-	0x423274A0L,0x8B81,0x11D1,0xA0,0x50,0x00,0x00,0xF8,0x00,0x47,0x88
-DEFINE_GUIDSTRUCT("423274A0-8B81-11D1-A050-0000F8004788",KSNODETYPE_SWSYNTH);
-#define KSNODETYPE_SWSYNTH DEFINE_GUIDNAMED(KSNODETYPE_SWSYNTH)
-
-#define STATIC_KSNODETYPE_SWMIDI					\
-	0xCB9BEFA0L,0xA251,0x11D1,0xA0,0x50,0x00,0x00,0xF8,0x00,0x47,0x88
-DEFINE_GUIDSTRUCT("CB9BEFA0-A251-11D1-A050-0000F8004788",KSNODETYPE_SWMIDI);
-#define KSNODETYPE_SWMIDI DEFINE_GUIDNAMED(KSNODETYPE_SWMIDI)
-
-#define STATIC_KSNODETYPE_DRM_DESCRAMBLE				\
-	0xFFBB6E3FL,0xCCFE,0x4D84,0x90,0xD9,0x42,0x14,0x18,0xB0,0x3A,0x8E
-DEFINE_GUIDSTRUCT("FFBB6E3F-CCFE-4D84-90D9-421418B03A8E",KSNODETYPE_DRM_DESCRAMBLE);
-#define KSNODETYPE_DRM_DESCRAMBLE DEFINE_GUIDNAMED(KSNODETYPE_DRM_DESCRAMBLE)
-
-#define STATIC_KSCATEGORY_AUDIO						\
-	0x6994AD04L,0x93EF,0x11D0,0xA3,0xCC,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("6994AD04-93EF-11D0-A3CC-00A0C9223196",KSCATEGORY_AUDIO);
-#define KSCATEGORY_AUDIO DEFINE_GUIDNAMED(KSCATEGORY_AUDIO)
-
-#define STATIC_KSCATEGORY_VIDEO						\
-	0x6994AD05L,0x93EF,0x11D0,0xA3,0xCC,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("6994AD05-93EF-11D0-A3CC-00A0C9223196",KSCATEGORY_VIDEO);
-#define KSCATEGORY_VIDEO DEFINE_GUIDNAMED(KSCATEGORY_VIDEO)
-
-/* Added for Vista and later */
-#define STATIC_KSCATEGORY_REALTIME \
-    0xEB115FFCL, 0x10C8, 0x4964, 0x83, 0x1D, 0x6D, 0xCB, 0x02, 0xE6, 0xF2, 0x3F
-DEFINE_GUIDSTRUCT("EB115FFC-10C8-4964-831D-6DCB02E6F23F", KSCATEGORY_REALTIME);
-#define KSCATEGORY_REALTIME DEFINE_GUIDNAMED(KSCATEGORY_REALTIME)
-
-#define STATIC_KSCATEGORY_TEXT						\
-	0x6994AD06L,0x93EF,0x11D0,0xA3,0xCC,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("6994AD06-93EF-11D0-A3CC-00A0C9223196",KSCATEGORY_TEXT);
-#define KSCATEGORY_TEXT DEFINE_GUIDNAMED(KSCATEGORY_TEXT)
-
-#define STATIC_KSCATEGORY_NETWORK					\
-	0x67C9CC3CL,0x69C4,0x11D2,0x87,0x59,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("67C9CC3C-69C4-11D2-8759-00A0C9223196",KSCATEGORY_NETWORK);
-#define KSCATEGORY_NETWORK DEFINE_GUIDNAMED(KSCATEGORY_NETWORK)
-
-#define STATIC_KSCATEGORY_TOPOLOGY					\
-	0xDDA54A40L,0x1E4C,0x11D1,0xA0,0x50,0x40,0x57,0x05,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("DDA54A40-1E4C-11D1-A050-405705C10000",KSCATEGORY_TOPOLOGY);
-#define KSCATEGORY_TOPOLOGY DEFINE_GUIDNAMED(KSCATEGORY_TOPOLOGY)
-
-#define STATIC_KSCATEGORY_VIRTUAL					\
-	0x3503EAC4L,0x1F26,0x11D1,0x8A,0xB0,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("3503EAC4-1F26-11D1-8AB0-00A0C9223196",KSCATEGORY_VIRTUAL);
-#define KSCATEGORY_VIRTUAL DEFINE_GUIDNAMED(KSCATEGORY_VIRTUAL)
-
-#define STATIC_KSCATEGORY_ACOUSTIC_ECHO_CANCEL				\
-	0xBF963D80L,0xC559,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("BF963D80-C559-11D0-8A2B-00A0C9255AC1",KSCATEGORY_ACOUSTIC_ECHO_CANCEL);
-#define KSCATEGORY_ACOUSTIC_ECHO_CANCEL DEFINE_GUIDNAMED(KSCATEGORY_ACOUSTIC_ECHO_CANCEL)
-
-#define STATIC_KSCATEGORY_SYSAUDIO					\
-	0xA7C7A5B1L,0x5AF3,0x11D1,0x9C,0xED,0x00,0xA0,0x24,0xBF,0x04,0x07
-DEFINE_GUIDSTRUCT("A7C7A5B1-5AF3-11D1-9CED-00A024BF0407",KSCATEGORY_SYSAUDIO);
-#define KSCATEGORY_SYSAUDIO DEFINE_GUIDNAMED(KSCATEGORY_SYSAUDIO)
-
-#define STATIC_KSCATEGORY_WDMAUD					\
-	0x3E227E76L,0x690D,0x11D2,0x81,0x61,0x00,0x00,0xF8,0x77,0x5B,0xF1
-DEFINE_GUIDSTRUCT("3E227E76-690D-11D2-8161-0000F8775BF1",KSCATEGORY_WDMAUD);
-#define KSCATEGORY_WDMAUD DEFINE_GUIDNAMED(KSCATEGORY_WDMAUD)
-
-#define STATIC_KSCATEGORY_AUDIO_GFX					\
-	0x9BAF9572L,0x340C,0x11D3,0xAB,0xDC,0x00,0xA0,0xC9,0x0A,0xB1,0x6F
-DEFINE_GUIDSTRUCT("9BAF9572-340C-11D3-ABDC-00A0C90AB16F",KSCATEGORY_AUDIO_GFX);
-#define KSCATEGORY_AUDIO_GFX DEFINE_GUIDNAMED(KSCATEGORY_AUDIO_GFX)
-
-#define STATIC_KSCATEGORY_AUDIO_SPLITTER				\
-	0x9EA331FAL,0xB91B,0x45F8,0x92,0x85,0xBD,0x2B,0xC7,0x7A,0xFC,0xDE
-DEFINE_GUIDSTRUCT("9EA331FA-B91B-45F8-9285-BD2BC77AFCDE",KSCATEGORY_AUDIO_SPLITTER);
-#define KSCATEGORY_AUDIO_SPLITTER DEFINE_GUIDNAMED(KSCATEGORY_AUDIO_SPLITTER)
-
-#define STATIC_KSCATEGORY_SYNTHESIZER		STATIC_KSNODETYPE_SYNTHESIZER
-#define KSCATEGORY_SYNTHESIZER			KSNODETYPE_SYNTHESIZER
-
-#define STATIC_KSCATEGORY_DRM_DESCRAMBLE	STATIC_KSNODETYPE_DRM_DESCRAMBLE
-#define KSCATEGORY_DRM_DESCRAMBLE		KSNODETYPE_DRM_DESCRAMBLE
-
-#define STATIC_KSCATEGORY_AUDIO_DEVICE					\
-	0xFBF6F530L,0x07B9,0x11D2,0xA7,0x1E,0x00,0x00,0xF8,0x00,0x47,0x88
-DEFINE_GUIDSTRUCT("FBF6F530-07B9-11D2-A71E-0000F8004788",KSCATEGORY_AUDIO_DEVICE);
-#define KSCATEGORY_AUDIO_DEVICE DEFINE_GUIDNAMED(KSCATEGORY_AUDIO_DEVICE)
-
-#define STATIC_KSCATEGORY_PREFERRED_WAVEOUT_DEVICE			\
-	0xD6C5066EL,0x72C1,0x11D2,0x97,0x55,0x00,0x00,0xF8,0x00,0x47,0x88
-DEFINE_GUIDSTRUCT("D6C5066E-72C1-11D2-9755-0000F8004788",KSCATEGORY_PREFERRED_WAVEOUT_DEVICE);
-#define KSCATEGORY_PREFERRED_WAVEOUT_DEVICE DEFINE_GUIDNAMED(KSCATEGORY_PREFERRED_WAVEOUT_DEVICE)
-
-#define STATIC_KSCATEGORY_PREFERRED_WAVEIN_DEVICE			\
-	0xD6C50671L,0x72C1,0x11D2,0x97,0x55,0x00,0x00,0xF8,0x00,0x47,0x88
-DEFINE_GUIDSTRUCT("D6C50671-72C1-11D2-9755-0000F8004788",KSCATEGORY_PREFERRED_WAVEIN_DEVICE);
-#define KSCATEGORY_PREFERRED_WAVEIN_DEVICE DEFINE_GUIDNAMED(KSCATEGORY_PREFERRED_WAVEIN_DEVICE)
-
-#define STATIC_KSCATEGORY_PREFERRED_MIDIOUT_DEVICE			\
-	0xD6C50674L,0x72C1,0x11D2,0x97,0x55,0x00,0x00,0xF8,0x00,0x47,0x88
-DEFINE_GUIDSTRUCT("D6C50674-72C1-11D2-9755-0000F8004788",KSCATEGORY_PREFERRED_MIDIOUT_DEVICE);
-#define KSCATEGORY_PREFERRED_MIDIOUT_DEVICE DEFINE_GUIDNAMED(KSCATEGORY_PREFERRED_MIDIOUT_DEVICE)
-
-#define STATIC_KSCATEGORY_WDMAUD_USE_PIN_NAME				\
-	0x47A4FA20L,0xA251,0x11D1,0xA0,0x50,0x00,0x00,0xF8,0x00,0x47,0x88
-DEFINE_GUIDSTRUCT("47A4FA20-A251-11D1-A050-0000F8004788",KSCATEGORY_WDMAUD_USE_PIN_NAME);
-#define KSCATEGORY_WDMAUD_USE_PIN_NAME DEFINE_GUIDNAMED(KSCATEGORY_WDMAUD_USE_PIN_NAME)
-
-#define STATIC_KSCATEGORY_ESCALANTE_PLATFORM_DRIVER			\
-	0x74f3aea8L,0x9768,0x11d1,0x8e,0x07,0x00,0xa0,0xc9,0x5e,0xc2,0x2e
-DEFINE_GUIDSTRUCT("74f3aea8-9768-11d1-8e07-00a0c95ec22e",KSCATEGORY_ESCALANTE_PLATFORM_DRIVER);
-#define KSCATEGORY_ESCALANTE_PLATFORM_DRIVER DEFINE_GUIDNAMED(KSCATEGORY_ESCALANTE_PLATFORM_DRIVER)
-
-#define STATIC_KSDATAFORMAT_TYPE_VIDEO					\
-	0x73646976L,0x0000,0x0010,0x80,0x00,0x00,0xaa,0x00,0x38,0x9b,0x71
-DEFINE_GUIDSTRUCT("73646976-0000-0010-8000-00aa00389b71",KSDATAFORMAT_TYPE_VIDEO);
-#define KSDATAFORMAT_TYPE_VIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_VIDEO)
-
-#define STATIC_KSDATAFORMAT_TYPE_AUDIO					\
-	0x73647561L,0x0000,0x0010,0x80,0x00,0x00,0xaa,0x00,0x38,0x9b,0x71
-DEFINE_GUIDSTRUCT("73647561-0000-0010-8000-00aa00389b71",KSDATAFORMAT_TYPE_AUDIO);
-#define KSDATAFORMAT_TYPE_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_AUDIO)
-
-#define STATIC_KSDATAFORMAT_TYPE_TEXT					\
-	0x73747874L,0x0000,0x0010,0x80,0x00,0x00,0xaa,0x00,0x38,0x9b,0x71
-DEFINE_GUIDSTRUCT("73747874-0000-0010-8000-00aa00389b71",KSDATAFORMAT_TYPE_TEXT);
-#define KSDATAFORMAT_TYPE_TEXT DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_TEXT)
-
-#if !defined(DEFINE_WAVEFORMATEX_GUID)
-#define DEFINE_WAVEFORMATEX_GUID(x)					\
-	(USHORT)(x),0x0000,0x0010,0x80,0x00,0x00,0xaa,0x00,0x38,0x9b,0x71
-#endif
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_WAVEFORMATEX			\
-	0x00000000L,0x0000,0x0010,0x80,0x00,0x00,0xaa,0x00,0x38,0x9b,0x71
-DEFINE_GUIDSTRUCT("00000000-0000-0010-8000-00aa00389b71",KSDATAFORMAT_SUBTYPE_WAVEFORMATEX);
-#define KSDATAFORMAT_SUBTYPE_WAVEFORMATEX DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_WAVEFORMATEX)
-
-#define INIT_WAVEFORMATEX_GUID(Guid,x)					\
-{									\
-	*(Guid) = KSDATAFORMAT_SUBTYPE_WAVEFORMATEX;			\
-	(Guid)->Data1 = (USHORT)(x);					\
-}
-
-#define EXTRACT_WAVEFORMATEX_ID(Guid)					\
-	(USHORT)((Guid)->Data1)
-
-#define IS_VALID_WAVEFORMATEX_GUID(Guid)				\
-	(!memcmp(((PUSHORT)&KSDATAFORMAT_SUBTYPE_WAVEFORMATEX) + 1, ((PUSHORT)(Guid)) + 1,sizeof(GUID) - sizeof(USHORT)))
-
-#ifndef INIT_MMREG_MID
-#define INIT_MMREG_MID(guid,id)						\
-{									\
-	(guid)->Data1 = 0xd5a47fa7 + (USHORT)(id);			\
-	(guid)->Data2 = 0x6d98;						\
-	(guid)->Data3 = 0x11d1;						\
-	(guid)->Data4[0] = 0xa2;					\
-	(guid)->Data4[1] = 0x1a;					\
-	(guid)->Data4[2] = 0x00;					\
-	(guid)->Data4[3] = 0xa0;					\
-	(guid)->Data4[4] = 0xc9;					\
-	(guid)->Data4[5] = 0x22;					\
-	(guid)->Data4[6] = 0x31;					\
-	(guid)->Data4[7] = 0x96;					\
-}
-#define EXTRACT_MMREG_MID(guid)						\
-	(USHORT)((guid)->Data1 - 0xd5a47fa7)
-#define DEFINE_MMREG_MID_GUID(id)					\
-	0xd5a47fa7+(USHORT)(id),0x6d98,0x11d1,0xa2,0x1a,0x00,0xa0,0xc9,0x22,0x31,0x96
-
-#define IS_COMPATIBLE_MMREG_MID(guid)					\
-	(((guid)->Data1 >= 0xd5a47fa7) &&				\
-	 ((guid)->Data1 < 0xd5a47fa7 + 0xffff) &&			\
-	 ((guid)->Data2 == 0x6d98) &&					\
-	 ((guid)->Data3 == 0x11d1) &&					\
-	 ((guid)->Data4[0] == 0xa2) &&					\
-	 ((guid)->Data4[1] == 0x1a) &&					\
-	 ((guid)->Data4[2] == 0x00) &&					\
-	 ((guid)->Data4[3] == 0xa0) &&					\
-	 ((guid)->Data4[4] == 0xc9) &&					\
-	 ((guid)->Data4[5] == 0x22) &&					\
-	 ((guid)->Data4[6] == 0x31) &&					\
-	 ((guid)->Data4[7] == 0x96) )
-#endif /* INIT_MMREG_MID */
-
-#ifndef INIT_MMREG_PID
-#define INIT_MMREG_PID(guid,id)						\
-{									\
-	(guid)->Data1 = 0xe36dc2ac + (USHORT)(id);			\
-	(guid)->Data2 = 0x6d9a;						\
-	(guid)->Data3 = 0x11d1;						\
-	(guid)->Data4[0] = 0xa2;					\
-	(guid)->Data4[1] = 0x1a;					\
-	(guid)->Data4[2] = 0x00;					\
-	(guid)->Data4[3] = 0xa0;					\
-	(guid)->Data4[4] = 0xc9;					\
-	(guid)->Data4[5] = 0x22;					\
-	(guid)->Data4[6] = 0x31;					\
-	(guid)->Data4[7] = 0x96;					\
-}
-#define EXTRACT_MMREG_PID(guid)						\
-	(USHORT)((guid)->Data1 - 0xe36dc2ac)
-#define DEFINE_MMREG_PID_GUID(id)					\
-	0xe36dc2ac+(USHORT)(id),0x6d9a,0x11d1,0xa2,0x1a,0x00,0xa0,0xc9,0x22,0x31,0x96
-
-#define IS_COMPATIBLE_MMREG_PID(guid)					\
-	(((guid)->Data1 >= 0xe36dc2ac) &&				\
-	 ((guid)->Data1 < 0xe36dc2ac + 0xffff) &&			\
-	 ((guid)->Data2 == 0x6d9a) &&					\
-	 ((guid)->Data3 == 0x11d1) &&					\
-	 ((guid)->Data4[0] == 0xa2) &&					\
-	 ((guid)->Data4[1] == 0x1a) &&					\
-	 ((guid)->Data4[2] == 0x00) &&					\
-	 ((guid)->Data4[3] == 0xa0) &&					\
-	 ((guid)->Data4[4] == 0xc9) &&					\
-	 ((guid)->Data4[5] == 0x22) &&					\
-	 ((guid)->Data4[6] == 0x31) &&					\
-	 ((guid)->Data4[7] == 0x96) )
-#endif /* INIT_MMREG_PID */
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_ANALOG				\
-	0x6dba3190L,0x67bd,0x11cf,0xa0,0xf7,0x00,0x20,0xaf,0xd1,0x56,0xe4
-DEFINE_GUIDSTRUCT("6dba3190-67bd-11cf-a0f7-0020afd156e4",KSDATAFORMAT_SUBTYPE_ANALOG);
-#define KSDATAFORMAT_SUBTYPE_ANALOG DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_ANALOG)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_PCM					\
-	DEFINE_WAVEFORMATEX_GUID(WAVE_FORMAT_PCM)
-DEFINE_GUIDSTRUCT("00000001-0000-0010-8000-00aa00389b71",KSDATAFORMAT_SUBTYPE_PCM);
-#define KSDATAFORMAT_SUBTYPE_PCM DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_PCM)
-
-#ifdef _INC_MMREG
-#define STATIC_KSDATAFORMAT_SUBTYPE_IEEE_FLOAT				\
-	DEFINE_WAVEFORMATEX_GUID(WAVE_FORMAT_IEEE_FLOAT)
-DEFINE_GUIDSTRUCT("00000003-0000-0010-8000-00aa00389b71",KSDATAFORMAT_SUBTYPE_IEEE_FLOAT);
-#define KSDATAFORMAT_SUBTYPE_IEEE_FLOAT DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_IEEE_FLOAT)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_DRM					\
-	DEFINE_WAVEFORMATEX_GUID(WAVE_FORMAT_DRM)
-DEFINE_GUIDSTRUCT("00000009-0000-0010-8000-00aa00389b71",KSDATAFORMAT_SUBTYPE_DRM);
-#define KSDATAFORMAT_SUBTYPE_DRM DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_DRM)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_ALAW				\
-	DEFINE_WAVEFORMATEX_GUID(WAVE_FORMAT_ALAW)
-DEFINE_GUIDSTRUCT("00000006-0000-0010-8000-00aa00389b71",KSDATAFORMAT_SUBTYPE_ALAW);
-#define KSDATAFORMAT_SUBTYPE_ALAW DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_ALAW)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_MULAW				\
-	DEFINE_WAVEFORMATEX_GUID(WAVE_FORMAT_MULAW)
-DEFINE_GUIDSTRUCT("00000007-0000-0010-8000-00aa00389b71",KSDATAFORMAT_SUBTYPE_MULAW);
-#define KSDATAFORMAT_SUBTYPE_MULAW DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_MULAW)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_ADPCM				\
-	DEFINE_WAVEFORMATEX_GUID(WAVE_FORMAT_ADPCM)
-DEFINE_GUIDSTRUCT("00000002-0000-0010-8000-00aa00389b71",KSDATAFORMAT_SUBTYPE_ADPCM);
-#define KSDATAFORMAT_SUBTYPE_ADPCM DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_ADPCM)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_MPEG				\
-	DEFINE_WAVEFORMATEX_GUID(WAVE_FORMAT_MPEG)
-DEFINE_GUIDSTRUCT("00000050-0000-0010-8000-00aa00389b71",KSDATAFORMAT_SUBTYPE_MPEG);
-#define KSDATAFORMAT_SUBTYPE_MPEG DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_MPEG)
-#endif /* _INC_MMREG */
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_VC_ID				\
-	0xAD98D184L,0xAAC3,0x11D0,0xA4,0x1C,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("AD98D184-AAC3-11D0-A41C-00A0C9223196",KSDATAFORMAT_SPECIFIER_VC_ID);
-#define KSDATAFORMAT_SPECIFIER_VC_ID DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_VC_ID)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_WAVEFORMATEX			\
-	0x05589f81L,0xc356,0x11ce,0xbf,0x01,0x00,0xaa,0x00,0x55,0x59,0x5a
-DEFINE_GUIDSTRUCT("05589f81-c356-11ce-bf01-00aa0055595a",KSDATAFORMAT_SPECIFIER_WAVEFORMATEX);
-#define KSDATAFORMAT_SPECIFIER_WAVEFORMATEX DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_WAVEFORMATEX)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_DSOUND				\
-	0x518590a2L,0xa184,0x11d0,0x85,0x22,0x00,0xc0,0x4f,0xd9,0xba,0xf3
-DEFINE_GUIDSTRUCT("518590a2-a184-11d0-8522-00c04fd9baf3",KSDATAFORMAT_SPECIFIER_DSOUND);
-#define KSDATAFORMAT_SPECIFIER_DSOUND DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_DSOUND)
-
-#if defined(_INC_MMSYSTEM) || defined(_INC_MMREG)
-#if !defined(PACK_PRAGMAS_NOT_SUPPORTED)
-#include <pshpack1.h>
-#endif
-typedef struct {
-  KSDATAFORMAT DataFormat;
-  WAVEFORMATEX WaveFormatEx;
-} KSDATAFORMAT_WAVEFORMATEX,*PKSDATAFORMAT_WAVEFORMATEX;
-
-#ifndef _WAVEFORMATEXTENSIBLE_
-#define _WAVEFORMATEXTENSIBLE_
-typedef struct {
-  WAVEFORMATEX Format;
-  union {
-    WORD wValidBitsPerSample;
-    WORD wSamplesPerBlock;
-    WORD wReserved;
-  } Samples;
-  DWORD dwChannelMask;
-
-  GUID SubFormat;
-} WAVEFORMATEXTENSIBLE,*PWAVEFORMATEXTENSIBLE;
-#endif /* _WAVEFORMATEXTENSIBLE_ */
-
-#if !defined(WAVE_FORMAT_EXTENSIBLE)
-#define WAVE_FORMAT_EXTENSIBLE			0xFFFE
-#endif
-
-typedef struct {
-  ULONG Flags;
-  ULONG Control;
-  WAVEFORMATEX WaveFormatEx;
-} KSDSOUND_BUFFERDESC,*PKSDSOUND_BUFFERDESC;
-
-typedef struct {
-  KSDATAFORMAT DataFormat;
-  KSDSOUND_BUFFERDESC BufferDesc;
-} KSDATAFORMAT_DSOUND,*PKSDATAFORMAT_DSOUND;
-
-#if !defined(PACK_PRAGMAS_NOT_SUPPORTED)
-#include <poppack.h>
-#endif
-#endif /* defined(_INC_MMSYSTEM) || defined(_INC_MMREG) */
-
-#define KSDSOUND_BUFFER_PRIMARY			0x00000001
-#define KSDSOUND_BUFFER_STATIC			0x00000002
-#define KSDSOUND_BUFFER_LOCHARDWARE		0x00000004
-#define KSDSOUND_BUFFER_LOCSOFTWARE		0x00000008
-
-#define KSDSOUND_BUFFER_CTRL_3D			0x00000001
-#define KSDSOUND_BUFFER_CTRL_FREQUENCY		0x00000002
-#define KSDSOUND_BUFFER_CTRL_PAN		0x00000004
-#define KSDSOUND_BUFFER_CTRL_VOLUME		0x00000008
-#define KSDSOUND_BUFFER_CTRL_POSITIONNOTIFY	0x00000010
-
-typedef struct {
-  DWORDLONG PlayOffset;
-  DWORDLONG WriteOffset;
-} KSAUDIO_POSITION,*PKSAUDIO_POSITION;
-
-typedef struct _DS3DVECTOR {
-  __MINGW_EXTENSION union {
-    FLOAT x;
-    FLOAT dvX;
-  };
-  __MINGW_EXTENSION union {
-    FLOAT y;
-    FLOAT dvY;
-  };
-  __MINGW_EXTENSION union {
-    FLOAT z;
-    FLOAT dvZ;
-  };
-} DS3DVECTOR,*PDS3DVECTOR;
-
-#define STATIC_KSPROPSETID_DirectSound3DListener			\
-	0x437b3414L,0xd060,0x11d0,0x85,0x83,0x00,0xc0,0x4f,0xd9,0xba,0xf3
-DEFINE_GUIDSTRUCT("437b3414-d060-11d0-8583-00c04fd9baf3",KSPROPSETID_DirectSound3DListener);
-#define KSPROPSETID_DirectSound3DListener DEFINE_GUIDNAMED(KSPROPSETID_DirectSound3DListener)
-
-typedef enum {
-  KSPROPERTY_DIRECTSOUND3DLISTENER_ALL,
-  KSPROPERTY_DIRECTSOUND3DLISTENER_POSITION,
-  KSPROPERTY_DIRECTSOUND3DLISTENER_VELOCITY,
-  KSPROPERTY_DIRECTSOUND3DLISTENER_ORIENTATION,
-  KSPROPERTY_DIRECTSOUND3DLISTENER_DISTANCEFACTOR,
-  KSPROPERTY_DIRECTSOUND3DLISTENER_ROLLOFFFACTOR,
-  KSPROPERTY_DIRECTSOUND3DLISTENER_DOPPLERFACTOR,
-  KSPROPERTY_DIRECTSOUND3DLISTENER_BATCH,
-  KSPROPERTY_DIRECTSOUND3DLISTENER_ALLOCATION
-} KSPROPERTY_DIRECTSOUND3DLISTENER;
-
-typedef struct {
-  DS3DVECTOR Position;
-  DS3DVECTOR Velocity;
-  DS3DVECTOR OrientFront;
-  DS3DVECTOR OrientTop;
-  FLOAT DistanceFactor;
-  FLOAT RolloffFactor;
-  FLOAT DopplerFactor;
-} KSDS3D_LISTENER_ALL,*PKSDS3D_LISTENER_ALL;
-
-typedef struct {
-  DS3DVECTOR Front;
-  DS3DVECTOR Top;
-} KSDS3D_LISTENER_ORIENTATION,*PKSDS3D_LISTENER_ORIENTATION;
-
-#define STATIC_KSPROPSETID_DirectSound3DBuffer				\
-	0x437b3411L,0xd060,0x11d0,0x85,0x83,0x00,0xc0,0x4f,0xd9,0xba,0xf3
-DEFINE_GUIDSTRUCT("437b3411-d060-11d0-8583-00c04fd9baf3",KSPROPSETID_DirectSound3DBuffer);
-#define KSPROPSETID_DirectSound3DBuffer DEFINE_GUIDNAMED(KSPROPSETID_DirectSound3DBuffer)
-
-typedef enum {
-  KSPROPERTY_DIRECTSOUND3DBUFFER_ALL,
-  KSPROPERTY_DIRECTSOUND3DBUFFER_POSITION,
-  KSPROPERTY_DIRECTSOUND3DBUFFER_VELOCITY,
-  KSPROPERTY_DIRECTSOUND3DBUFFER_CONEANGLES,
-  KSPROPERTY_DIRECTSOUND3DBUFFER_CONEORIENTATION,
-  KSPROPERTY_DIRECTSOUND3DBUFFER_CONEOUTSIDEVOLUME,
-  KSPROPERTY_DIRECTSOUND3DBUFFER_MINDISTANCE,
-  KSPROPERTY_DIRECTSOUND3DBUFFER_MAXDISTANCE,
-  KSPROPERTY_DIRECTSOUND3DBUFFER_MODE
-} KSPROPERTY_DIRECTSOUND3DBUFFER;
-
-typedef struct {
-  DS3DVECTOR Position;
-  DS3DVECTOR Velocity;
-  ULONG InsideConeAngle;
-  ULONG OutsideConeAngle;
-  DS3DVECTOR ConeOrientation;
-  LONG ConeOutsideVolume;
-  FLOAT MinDistance;
-  FLOAT MaxDistance;
-  ULONG Mode;
-} KSDS3D_BUFFER_ALL,*PKSDS3D_BUFFER_ALL;
-
-typedef struct {
-  ULONG InsideConeAngle;
-  ULONG OutsideConeAngle;
-} KSDS3D_BUFFER_CONE_ANGLES,*PKSDS3D_BUFFER_CONE_ANGLES;
-
-#define KSAUDIO_STEREO_SPEAKER_GEOMETRY_HEADPHONE	(-1)
-#define KSAUDIO_STEREO_SPEAKER_GEOMETRY_MIN		5
-#define KSAUDIO_STEREO_SPEAKER_GEOMETRY_NARROW		10
-#define KSAUDIO_STEREO_SPEAKER_GEOMETRY_WIDE		20
-#define KSAUDIO_STEREO_SPEAKER_GEOMETRY_MAX		180
-
-#define KSDSOUND_3D_MODE_NORMAL			0x00000000
-#define KSDSOUND_3D_MODE_HEADRELATIVE		0x00000001
-#define KSDSOUND_3D_MODE_DISABLE		0x00000002
-
-#define KSDSOUND_BUFFER_CTRL_HRTF_3D		0x40000000
-
-typedef struct {
-  ULONG Size;
-  ULONG Enabled;
-  WINBOOL SwapChannels;
-  WINBOOL ZeroAzimuth;
-  WINBOOL CrossFadeOutput;
-  ULONG FilterSize;
-} KSDS3D_HRTF_PARAMS_MSG,*PKSDS3D_HRTF_PARAMS_MSG;
-
-typedef enum {
-  FULL_FILTER,
-  LIGHT_FILTER,
-  KSDS3D_FILTER_QUALITY_COUNT
-} KSDS3D_HRTF_FILTER_QUALITY;
-
-typedef struct {
-  ULONG Size;
-  KSDS3D_HRTF_FILTER_QUALITY Quality;
-  FLOAT SampleRate;
-  ULONG MaxFilterSize;
-  ULONG FilterTransientMuteLength;
-  ULONG FilterOverlapBufferLength;
-  ULONG OutputOverlapBufferLength;
-  ULONG Reserved;
-} KSDS3D_HRTF_INIT_MSG,*PKSDS3D_HRTF_INIT_MSG;
-
-typedef enum {
-  FLOAT_COEFF,
-  SHORT_COEFF,
-  KSDS3D_COEFF_COUNT
-} KSDS3D_HRTF_COEFF_FORMAT;
-
-typedef enum {
-  DIRECT_FORM,
-  CASCADE_FORM,
-  KSDS3D_FILTER_METHOD_COUNT
-} KSDS3D_HRTF_FILTER_METHOD;
-
-typedef enum {
-  DS3D_HRTF_VERSION_1
-} KSDS3D_HRTF_FILTER_VERSION;
-
-typedef struct {
-  KSDS3D_HRTF_FILTER_METHOD FilterMethod;
-  KSDS3D_HRTF_COEFF_FORMAT CoeffFormat;
-  KSDS3D_HRTF_FILTER_VERSION Version;
-  ULONG Reserved;
-} KSDS3D_HRTF_FILTER_FORMAT_MSG,*PKSDS3D_HRTF_FILTER_FORMAT_MSG;
-
-#define STATIC_KSPROPSETID_Hrtf3d					\
-	0xb66decb0L,0xa083,0x11d0,0x85,0x1e,0x00,0xc0,0x4f,0xd9,0xba,0xf3
-DEFINE_GUIDSTRUCT("b66decb0-a083-11d0-851e-00c04fd9baf3",KSPROPSETID_Hrtf3d);
-#define KSPROPSETID_Hrtf3d DEFINE_GUIDNAMED(KSPROPSETID_Hrtf3d)
-
-typedef enum {
-  KSPROPERTY_HRTF3D_PARAMS = 0,
-  KSPROPERTY_HRTF3D_INITIALIZE,
-  KSPROPERTY_HRTF3D_FILTER_FORMAT
-} KSPROPERTY_HRTF3D;
-
-typedef struct {
-  LONG Channel;
-  FLOAT VolSmoothScale;
-  FLOAT TotalDryAttenuation;
-  FLOAT TotalWetAttenuation;
-  LONG SmoothFrequency;
-  LONG Delay;
-} KSDS3D_ITD_PARAMS,*PKSDS3D_ITD_PARAMS;
-
-typedef struct {
-  ULONG Enabled;
-  KSDS3D_ITD_PARAMS LeftParams;
-  KSDS3D_ITD_PARAMS RightParams;
-  ULONG Reserved;
-} KSDS3D_ITD_PARAMS_MSG,*PKSDS3D_ITD_PARAMS_MSG;
-
-#define STATIC_KSPROPSETID_Itd3d					\
-	0x6429f090L,0x9fd9,0x11d0,0xa7,0x5b,0x00,0xa0,0xc9,0x03,0x65,0xe3
-DEFINE_GUIDSTRUCT("6429f090-9fd9-11d0-a75b-00a0c90365e3",KSPROPSETID_Itd3d);
-#define KSPROPSETID_Itd3d DEFINE_GUIDNAMED(KSPROPSETID_Itd3d)
-
-typedef enum {
-  KSPROPERTY_ITD3D_PARAMS = 0
-} KSPROPERTY_ITD3D;
-
-typedef struct {
-  KSDATARANGE DataRange;
-  ULONG MaximumChannels;
-  ULONG MinimumBitsPerSample;
-  ULONG MaximumBitsPerSample;
-  ULONG MinimumSampleFrequency;
-  ULONG MaximumSampleFrequency;
-} KSDATARANGE_AUDIO,*PKSDATARANGE_AUDIO;
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_RIFF				\
-	0x4995DAEEL,0x9EE6,0x11D0,0xA4,0x0E,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("4995DAEE-9EE6-11D0-A40E-00A0C9223196",KSDATAFORMAT_SUBTYPE_RIFF);
-#define KSDATAFORMAT_SUBTYPE_RIFF DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_RIFF)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_RIFFWAVE				\
-	0xe436eb8bL,0x524f,0x11ce,0x9f,0x53,0x00,0x20,0xaf,0x0b,0xa7,0x70
-DEFINE_GUIDSTRUCT("e436eb8b-524f-11ce-9f53-0020af0ba770",KSDATAFORMAT_SUBTYPE_RIFFWAVE);
-#define KSDATAFORMAT_SUBTYPE_RIFFWAVE DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_RIFFWAVE)
-
-#define STATIC_KSPROPSETID_Bibliographic				\
-	0x07BA150EL,0xE2B1,0x11D0,0xAC,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("07BA150E-E2B1-11D0-AC17-00A0C9223196",KSPROPSETID_Bibliographic);
-#define KSPROPSETID_Bibliographic DEFINE_GUIDNAMED(KSPROPSETID_Bibliographic)
-
-typedef enum {
-  KSPROPERTY_BIBLIOGRAPHIC_LEADER = 'RDL ',
-  KSPROPERTY_BIBLIOGRAPHIC_LCCN = '010 ',
-  KSPROPERTY_BIBLIOGRAPHIC_ISBN = '020 ',
-  KSPROPERTY_BIBLIOGRAPHIC_ISSN = '220 ',
-  KSPROPERTY_BIBLIOGRAPHIC_CATALOGINGSOURCE = '040 ',
-  KSPROPERTY_BIBLIOGRAPHIC_MAINPERSONALNAME = '001 ',
-  KSPROPERTY_BIBLIOGRAPHIC_MAINCORPORATEBODY = '011 ',
-  KSPROPERTY_BIBLIOGRAPHIC_MAINMEETINGNAME = '111 ',
-  KSPROPERTY_BIBLIOGRAPHIC_MAINUNIFORMTITLE = '031 ',
-  KSPROPERTY_BIBLIOGRAPHIC_UNIFORMTITLE = '042 ',
-  KSPROPERTY_BIBLIOGRAPHIC_TITLESTATEMENT = '542 ',
-  KSPROPERTY_BIBLIOGRAPHIC_VARYINGFORMTITLE = '642 ',
-  KSPROPERTY_BIBLIOGRAPHIC_PUBLICATION = '062 ',
-  KSPROPERTY_BIBLIOGRAPHIC_PHYSICALDESCRIPTION = '003 ',
-  KSPROPERTY_BIBLIOGRAPHIC_ADDEDENTRYTITLE = '044 ',
-  KSPROPERTY_BIBLIOGRAPHIC_SERIESSTATEMENT = '094 ',
-  KSPROPERTY_BIBLIOGRAPHIC_GENERALNOTE = '005 ',
-  KSPROPERTY_BIBLIOGRAPHIC_BIBLIOGRAPHYNOTE = '405 ',
-  KSPROPERTY_BIBLIOGRAPHIC_CONTENTSNOTE = '505 ',
-  KSPROPERTY_BIBLIOGRAPHIC_CREATIONCREDIT = '805 ',
-  KSPROPERTY_BIBLIOGRAPHIC_CITATION = '015 ',
-  KSPROPERTY_BIBLIOGRAPHIC_PARTICIPANT = '115 ',
-  KSPROPERTY_BIBLIOGRAPHIC_SUMMARY = '025 ',
-  KSPROPERTY_BIBLIOGRAPHIC_TARGETAUDIENCE = '125 ',
-  KSPROPERTY_BIBLIOGRAPHIC_ADDEDFORMAVAILABLE = '035 ',
-  KSPROPERTY_BIBLIOGRAPHIC_SYSTEMDETAILS = '835 ',
-  KSPROPERTY_BIBLIOGRAPHIC_AWARDS = '685 ',
-  KSPROPERTY_BIBLIOGRAPHIC_ADDEDENTRYPERSONALNAME = '006 ',
-  KSPROPERTY_BIBLIOGRAPHIC_ADDEDENTRYTOPICALTERM = '056 ',
-  KSPROPERTY_BIBLIOGRAPHIC_ADDEDENTRYGEOGRAPHIC = '156 ',
-  KSPROPERTY_BIBLIOGRAPHIC_INDEXTERMGENRE = '556 ',
-  KSPROPERTY_BIBLIOGRAPHIC_INDEXTERMCURRICULUM = '856 ',
-  KSPROPERTY_BIBLIOGRAPHIC_ADDEDENTRYUNIFORMTITLE = '037 ',
-  KSPROPERTY_BIBLIOGRAPHIC_ADDEDENTRYRELATED = '047 ',
-  KSPROPERTY_BIBLIOGRAPHIC_SERIESSTATEMENTPERSONALNAME = '008 ',
-  KSPROPERTY_BIBLIOGRAPHIC_SERIESSTATEMENTUNIFORMTITLE = '038 '
-} KSPROPERTY_BIBLIOGRAPHIC;
-
-#define STATIC_KSPROPSETID_TopologyNode					\
-	0x45FFAAA1L,0x6E1B,0x11D0,0xBC,0xF2,0x44,0x45,0x53,0x54,0x00,0x00
-DEFINE_GUIDSTRUCT("45FFAAA1-6E1B-11D0-BCF2-444553540000",KSPROPSETID_TopologyNode);
-#define KSPROPSETID_TopologyNode DEFINE_GUIDNAMED(KSPROPSETID_TopologyNode)
-
-typedef enum {
-  KSPROPERTY_TOPOLOGYNODE_ENABLE = 1,
-  KSPROPERTY_TOPOLOGYNODE_RESET
-} KSPROPERTY_TOPOLOGYNODE;
-
-#define STATIC_KSPROPSETID_RtAudio					\
-	0xa855a48c,0x2f78,0x4729,0x90,0x51,0x19,0x68,0x74,0x6b,0x9e,0xef
-DEFINE_GUIDSTRUCT("A855A48C-2F78-4729-9051-1968746B9EEF",KSPROPSETID_RtAudio);
-#define KSPROPSETID_RtAudio DEFINE_GUIDNAMED(KSPROPSETID_RtAudio)
-
-typedef enum {
-  KSPROPERTY_RTAUDIO_GETPOSITIONFUNCTION,
-  /* Added for Vista and later */
-  KSPROPERTY_RTAUDIO_BUFFER,
-  KSPROPERTY_RTAUDIO_HWLATENCY,
-  KSPROPERTY_RTAUDIO_POSITIONREGISTER,
-  KSPROPERTY_RTAUDIO_CLOCKREGISTER,
-  KSPROPERTY_RTAUDIO_BUFFER_WITH_NOTIFICATION,
-  KSPROPERTY_RTAUDIO_REGISTER_NOTIFICATION_EVENT,
-  KSPROPERTY_RTAUDIO_UNREGISTER_NOTIFICATION_EVENT
-} KSPROPERTY_RTAUDIO;
-
-#define STATIC_KSPROPSETID_DrmAudioStream				\
-	0x2f2c8ddd,0x4198,0x4fac,0xba,0x29,0x61,0xbb,0x5,0xb7,0xde,0x6
-DEFINE_GUIDSTRUCT("2F2C8DDD-4198-4fac-BA29-61BB05B7DE06",KSPROPSETID_DrmAudioStream);
-#define KSPROPSETID_DrmAudioStream DEFINE_GUIDNAMED(KSPROPSETID_DrmAudioStream)
-
-typedef enum {
-  KSPROPERTY_DRMAUDIOSTREAM_CONTENTID
-} KSPROPERTY_DRMAUDIOSTREAM;
-
-#define STATIC_KSPROPSETID_Audio					\
-	0x45FFAAA0L,0x6E1B,0x11D0,0xBC,0xF2,0x44,0x45,0x53,0x54,0x00,0x00
-DEFINE_GUIDSTRUCT("45FFAAA0-6E1B-11D0-BCF2-444553540000",KSPROPSETID_Audio);
-#define KSPROPSETID_Audio DEFINE_GUIDNAMED(KSPROPSETID_Audio)
-
-typedef enum {
-  KSPROPERTY_AUDIO_LATENCY = 1,
-  KSPROPERTY_AUDIO_COPY_PROTECTION,
-  KSPROPERTY_AUDIO_CHANNEL_CONFIG,
-  KSPROPERTY_AUDIO_VOLUMELEVEL,
-  KSPROPERTY_AUDIO_POSITION,
-  KSPROPERTY_AUDIO_DYNAMIC_RANGE,
-  KSPROPERTY_AUDIO_QUALITY,
-  KSPROPERTY_AUDIO_SAMPLING_RATE,
-  KSPROPERTY_AUDIO_DYNAMIC_SAMPLING_RATE,
-  KSPROPERTY_AUDIO_MIX_LEVEL_TABLE,
-  KSPROPERTY_AUDIO_MIX_LEVEL_CAPS,
-  KSPROPERTY_AUDIO_MUX_SOURCE,
-  KSPROPERTY_AUDIO_MUTE,
-  KSPROPERTY_AUDIO_BASS,
-  KSPROPERTY_AUDIO_MID,
-  KSPROPERTY_AUDIO_TREBLE,
-  KSPROPERTY_AUDIO_BASS_BOOST,
-  KSPROPERTY_AUDIO_EQ_LEVEL,
-  KSPROPERTY_AUDIO_NUM_EQ_BANDS,
-  KSPROPERTY_AUDIO_EQ_BANDS,
-  KSPROPERTY_AUDIO_AGC,
-  KSPROPERTY_AUDIO_DELAY,
-  KSPROPERTY_AUDIO_LOUDNESS,
-  KSPROPERTY_AUDIO_WIDE_MODE,
-  KSPROPERTY_AUDIO_WIDENESS,
-  KSPROPERTY_AUDIO_REVERB_LEVEL,
-  KSPROPERTY_AUDIO_CHORUS_LEVEL,
-  KSPROPERTY_AUDIO_DEV_SPECIFIC,
-  KSPROPERTY_AUDIO_DEMUX_DEST,
-  KSPROPERTY_AUDIO_STEREO_ENHANCE,
-  KSPROPERTY_AUDIO_MANUFACTURE_GUID,
-  KSPROPERTY_AUDIO_PRODUCT_GUID,
-  KSPROPERTY_AUDIO_CPU_RESOURCES,
-  KSPROPERTY_AUDIO_STEREO_SPEAKER_GEOMETRY,
-  KSPROPERTY_AUDIO_SURROUND_ENCODE,
-  KSPROPERTY_AUDIO_3D_INTERFACE,
-  KSPROPERTY_AUDIO_PEAKMETER,
-  KSPROPERTY_AUDIO_ALGORITHM_INSTANCE,
-  KSPROPERTY_AUDIO_FILTER_STATE,
-  KSPROPERTY_AUDIO_PREFERRED_STATUS
-} KSPROPERTY_AUDIO;
-
-#define KSAUDIO_QUALITY_WORST			0x0
-#define KSAUDIO_QUALITY_PC			0x1
-#define KSAUDIO_QUALITY_BASIC			0x2
-#define KSAUDIO_QUALITY_ADVANCED		0x3
-
-#define KSAUDIO_CPU_RESOURCES_NOT_HOST_CPU	0x00000000
-#define KSAUDIO_CPU_RESOURCES_HOST_CPU		0x7FFFFFFF
-
-typedef struct {
-  WINBOOL fCopyrighted;
-  WINBOOL fOriginal;
-} KSAUDIO_COPY_PROTECTION,*PKSAUDIO_COPY_PROTECTION;
-
-typedef struct {
-  LONG ActiveSpeakerPositions;
-} KSAUDIO_CHANNEL_CONFIG,*PKSAUDIO_CHANNEL_CONFIG;
-
-#define SPEAKER_FRONT_LEFT		0x1
-#define SPEAKER_FRONT_RIGHT		0x2
-#define SPEAKER_FRONT_CENTER		0x4
-#define SPEAKER_LOW_FREQUENCY		0x8
-#define SPEAKER_BACK_LEFT		0x10
-#define SPEAKER_BACK_RIGHT		0x20
-#define SPEAKER_FRONT_LEFT_OF_CENTER	0x40
-#define SPEAKER_FRONT_RIGHT_OF_CENTER	0x80
-#define SPEAKER_BACK_CENTER		0x100
-#define SPEAKER_SIDE_LEFT		0x200
-#define SPEAKER_SIDE_RIGHT		0x400
-#define SPEAKER_TOP_CENTER		0x800
-#define SPEAKER_TOP_FRONT_LEFT		0x1000
-#define SPEAKER_TOP_FRONT_CENTER	0x2000
-#define SPEAKER_TOP_FRONT_RIGHT		0x4000
-#define SPEAKER_TOP_BACK_LEFT		0x8000
-#define SPEAKER_TOP_BACK_CENTER		0x10000
-#define SPEAKER_TOP_BACK_RIGHT		0x20000
-
-#define SPEAKER_RESERVED		0x7FFC0000
-
-#define SPEAKER_ALL			0x80000000
-
-#define KSAUDIO_SPEAKER_DIRECTOUT	0
-#define KSAUDIO_SPEAKER_MONO		(SPEAKER_FRONT_CENTER)
-#define KSAUDIO_SPEAKER_STEREO		(SPEAKER_FRONT_LEFT | SPEAKER_FRONT_RIGHT)
-#define KSAUDIO_SPEAKER_QUAD		(SPEAKER_FRONT_LEFT | SPEAKER_FRONT_RIGHT |		\
-					 SPEAKER_BACK_LEFT | SPEAKER_BACK_RIGHT)
-#define KSAUDIO_SPEAKER_SURROUND	(SPEAKER_FRONT_LEFT | SPEAKER_FRONT_RIGHT |		\
-					 SPEAKER_FRONT_CENTER | SPEAKER_BACK_CENTER)
-#define KSAUDIO_SPEAKER_5POINT1		(SPEAKER_FRONT_LEFT | SPEAKER_FRONT_RIGHT |		\
-					 SPEAKER_FRONT_CENTER | SPEAKER_LOW_FREQUENCY |		\
-					 SPEAKER_BACK_LEFT | SPEAKER_BACK_RIGHT)
-#define KSAUDIO_SPEAKER_7POINT1		(SPEAKER_FRONT_LEFT | SPEAKER_FRONT_RIGHT |		\
-					 SPEAKER_FRONT_CENTER | SPEAKER_LOW_FREQUENCY |		\
-					 SPEAKER_BACK_LEFT | SPEAKER_BACK_RIGHT |		\
-					 SPEAKER_FRONT_LEFT_OF_CENTER | SPEAKER_FRONT_RIGHT_OF_CENTER)
-#define KSAUDIO_SPEAKER_5POINT1_SURROUND (SPEAKER_FRONT_LEFT | SPEAKER_FRONT_RIGHT |		\
-					  SPEAKER_FRONT_CENTER | SPEAKER_LOW_FREQUENCY |	\
-					  SPEAKER_SIDE_LEFT | SPEAKER_SIDE_RIGHT)
-#define KSAUDIO_SPEAKER_7POINT1_SURROUND (SPEAKER_FRONT_LEFT | SPEAKER_FRONT_RIGHT |		\
-					  SPEAKER_FRONT_CENTER | SPEAKER_LOW_FREQUENCY |	\
-					  SPEAKER_BACK_LEFT | SPEAKER_BACK_RIGHT |		\
-					  SPEAKER_SIDE_LEFT | SPEAKER_SIDE_RIGHT)
-
-#define KSAUDIO_SPEAKER_5POINT1_BACK	KSAUDIO_SPEAKER_5POINT1
-#define KSAUDIO_SPEAKER_7POINT1_WIDE	KSAUDIO_SPEAKER_7POINT1
-
-#define KSAUDIO_SPEAKER_GROUND_FRONT_LEFT	SPEAKER_FRONT_LEFT
-#define KSAUDIO_SPEAKER_GROUND_FRONT_CENTER	SPEAKER_FRONT_CENTER
-#define KSAUDIO_SPEAKER_GROUND_FRONT_RIGHT	SPEAKER_FRONT_RIGHT
-#define KSAUDIO_SPEAKER_GROUND_REAR_LEFT	SPEAKER_BACK_LEFT
-#define KSAUDIO_SPEAKER_GROUND_REAR_RIGHT	SPEAKER_BACK_RIGHT
-#define KSAUDIO_SPEAKER_TOP_MIDDLE		SPEAKER_TOP_CENTER
-#define KSAUDIO_SPEAKER_SUPER_WOOFER		SPEAKER_LOW_FREQUENCY
-
-typedef struct {
-  ULONG QuietCompression;
-  ULONG LoudCompression;
-} KSAUDIO_DYNAMIC_RANGE,*PKSAUDIO_DYNAMIC_RANGE;
-
-typedef struct {
-  WINBOOL Mute;
-  LONG Level;
-} KSAUDIO_MIXLEVEL,*PKSAUDIO_MIXLEVEL;
-
-typedef struct {
-  WINBOOL Mute;
-  LONG Minimum;
-  LONG Maximum;
-  LONG Reset;
-} KSAUDIO_MIX_CAPS,*PKSAUDIO_MIX_CAPS;
-
-typedef struct {
-  ULONG InputChannels;
-  ULONG OutputChannels;
-  KSAUDIO_MIX_CAPS Capabilities[1];
-} KSAUDIO_MIXCAP_TABLE,*PKSAUDIO_MIXCAP_TABLE;
-
-typedef enum {
-  SE_TECH_NONE,
-  SE_TECH_ANALOG_DEVICES_PHAT,
-  SE_TECH_CREATIVE,
-  SE_TECH_NATIONAL_SEMI,
-  SE_TECH_YAMAHA_YMERSION,
-  SE_TECH_BBE,
-  SE_TECH_CRYSTAL_SEMI,
-  SE_TECH_QSOUND_QXPANDER,
-  SE_TECH_SPATIALIZER,
-  SE_TECH_SRS,
-  SE_TECH_PLATFORM_TECH,
-  SE_TECH_AKM,
-  SE_TECH_AUREAL,
-  SE_TECH_AZTECH,
-  SE_TECH_BINAURA,
-  SE_TECH_ESS_TECH,
-  SE_TECH_HARMAN_VMAX,
-  SE_TECH_NVIDEA,
-  SE_TECH_PHILIPS_INCREDIBLE,
-  SE_TECH_TEXAS_INST,
-  SE_TECH_VLSI_TECH
-} SE_TECHNIQUE;
-
-typedef struct {
-  SE_TECHNIQUE Technique;
-  ULONG Center;
-  ULONG Depth;
-  ULONG Reserved;
-} KSAUDIO_STEREO_ENHANCE,*PKSAUDIO_STEREO_ENHANCE;
-
-typedef enum {
-  KSPROPERTY_SYSAUDIO_NORMAL_DEFAULT = 0,
-  KSPROPERTY_SYSAUDIO_PLAYBACK_DEFAULT,
-  KSPROPERTY_SYSAUDIO_RECORD_DEFAULT,
-  KSPROPERTY_SYSAUDIO_MIDI_DEFAULT,
-  KSPROPERTY_SYSAUDIO_MIXER_DEFAULT
-} KSPROPERTY_SYSAUDIO_DEFAULT_TYPE;
-
-typedef struct {
-  WINBOOL Enable;
-  KSPROPERTY_SYSAUDIO_DEFAULT_TYPE DeviceType;
-  ULONG Flags;
-  ULONG Reserved;
-} KSAUDIO_PREFERRED_STATUS,*PKSAUDIO_PREFERRED_STATUS;
-
-#define STATIC_KSNODETYPE_DAC						\
-	0x507AE360L,0xC554,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("507AE360-C554-11D0-8A2B-00A0C9255AC1",KSNODETYPE_DAC);
-#define KSNODETYPE_DAC DEFINE_GUIDNAMED(KSNODETYPE_DAC)
-
-#define STATIC_KSNODETYPE_ADC						\
-	0x4D837FE0L,0xC555,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("4D837FE0-C555-11D0-8A2B-00A0C9255AC1",KSNODETYPE_ADC);
-#define KSNODETYPE_ADC DEFINE_GUIDNAMED(KSNODETYPE_ADC)
-
-#define STATIC_KSNODETYPE_SRC						\
-	0x9DB7B9E0L,0xC555,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("9DB7B9E0-C555-11D0-8A2B-00A0C9255AC1",KSNODETYPE_SRC);
-#define KSNODETYPE_SRC DEFINE_GUIDNAMED(KSNODETYPE_SRC)
-
-#define STATIC_KSNODETYPE_SUPERMIX					\
-	0xE573ADC0L,0xC555,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("E573ADC0-C555-11D0-8A2B-00A0C9255AC1",KSNODETYPE_SUPERMIX);
-#define KSNODETYPE_SUPERMIX DEFINE_GUIDNAMED(KSNODETYPE_SUPERMIX)
-
-#define STATIC_KSNODETYPE_MUX						\
-	0x2CEAF780L,0xC556,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("2CEAF780-C556-11D0-8A2B-00A0C9255AC1",KSNODETYPE_MUX);
-#define KSNODETYPE_MUX DEFINE_GUIDNAMED(KSNODETYPE_MUX)
-
-#define STATIC_KSNODETYPE_DEMUX						\
-	0xC0EB67D4L,0xE807,0x11D0,0x95,0x8A,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("C0EB67D4-E807-11D0-958A-00C04FB925D3",KSNODETYPE_DEMUX);
-#define KSNODETYPE_DEMUX DEFINE_GUIDNAMED(KSNODETYPE_DEMUX)
-
-#define STATIC_KSNODETYPE_SUM						\
-	0xDA441A60L,0xC556,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("DA441A60-C556-11D0-8A2B-00A0C9255AC1",KSNODETYPE_SUM);
-#define KSNODETYPE_SUM DEFINE_GUIDNAMED(KSNODETYPE_SUM)
-
-#define STATIC_KSNODETYPE_MUTE						\
-	0x02B223C0L,0xC557,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("02B223C0-C557-11D0-8A2B-00A0C9255AC1",KSNODETYPE_MUTE);
-#define KSNODETYPE_MUTE DEFINE_GUIDNAMED(KSNODETYPE_MUTE)
-
-#define STATIC_KSNODETYPE_VOLUME					\
-	0x3A5ACC00L,0xC557,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("3A5ACC00-C557-11D0-8A2B-00A0C9255AC1",KSNODETYPE_VOLUME);
-#define KSNODETYPE_VOLUME DEFINE_GUIDNAMED(KSNODETYPE_VOLUME)
-
-#define STATIC_KSNODETYPE_TONE						\
-	0x7607E580L,0xC557,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("7607E580-C557-11D0-8A2B-00A0C9255AC1",KSNODETYPE_TONE);
-#define KSNODETYPE_TONE DEFINE_GUIDNAMED(KSNODETYPE_TONE)
-
-#define STATIC_KSNODETYPE_EQUALIZER					\
-	0x9D41B4A0L,0xC557,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("9D41B4A0-C557-11D0-8A2B-00A0C9255AC1",KSNODETYPE_EQUALIZER);
-#define KSNODETYPE_EQUALIZER DEFINE_GUIDNAMED(KSNODETYPE_EQUALIZER)
-
-#define STATIC_KSNODETYPE_AGC						\
-	0xE88C9BA0L,0xC557,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("E88C9BA0-C557-11D0-8A2B-00A0C9255AC1",KSNODETYPE_AGC);
-#define KSNODETYPE_AGC DEFINE_GUIDNAMED(KSNODETYPE_AGC)
-
-#define STATIC_KSNODETYPE_NOISE_SUPPRESS				\
-	0xe07f903f,0x62fd,0x4e60,0x8c,0xdd,0xde,0xa7,0x23,0x66,0x65,0xb5
-DEFINE_GUIDSTRUCT("E07F903F-62FD-4e60-8CDD-DEA7236665B5",KSNODETYPE_NOISE_SUPPRESS);
-#define KSNODETYPE_NOISE_SUPPRESS DEFINE_GUIDNAMED(KSNODETYPE_NOISE_SUPPRESS)
-
-#define STATIC_KSNODETYPE_DELAY						\
-	0x144981E0L,0xC558,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("144981E0-C558-11D0-8A2B-00A0C9255AC1",KSNODETYPE_DELAY);
-#define KSNODETYPE_DELAY DEFINE_GUIDNAMED(KSNODETYPE_DELAY)
-
-#define STATIC_KSNODETYPE_LOUDNESS					\
-	0x41887440L,0xC558,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("41887440-C558-11D0-8A2B-00A0C9255AC1",KSNODETYPE_LOUDNESS);
-#define KSNODETYPE_LOUDNESS DEFINE_GUIDNAMED(KSNODETYPE_LOUDNESS)
-
-#define STATIC_KSNODETYPE_PROLOGIC_DECODER				\
-	0x831C2C80L,0xC558,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("831C2C80-C558-11D0-8A2B-00A0C9255AC1",KSNODETYPE_PROLOGIC_DECODER);
-#define KSNODETYPE_PROLOGIC_DECODER DEFINE_GUIDNAMED(KSNODETYPE_PROLOGIC_DECODER)
-
-#define STATIC_KSNODETYPE_STEREO_WIDE					\
-	0xA9E69800L,0xC558,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("A9E69800-C558-11D0-8A2B-00A0C9255AC1",KSNODETYPE_STEREO_WIDE);
-#define KSNODETYPE_STEREO_WIDE DEFINE_GUIDNAMED(KSNODETYPE_STEREO_WIDE)
-
-#define STATIC_KSNODETYPE_STEREO_ENHANCE				\
-	0xAF6878ACL,0xE83F,0x11D0,0x95,0x8A,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("AF6878AC-E83F-11D0-958A-00C04FB925D3",KSNODETYPE_STEREO_ENHANCE);
-#define KSNODETYPE_STEREO_ENHANCE DEFINE_GUIDNAMED(KSNODETYPE_STEREO_ENHANCE)
-
-#define STATIC_KSNODETYPE_REVERB					\
-	0xEF0328E0L,0xC558,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("EF0328E0-C558-11D0-8A2B-00A0C9255AC1",KSNODETYPE_REVERB);
-#define KSNODETYPE_REVERB DEFINE_GUIDNAMED(KSNODETYPE_REVERB)
-
-#define STATIC_KSNODETYPE_CHORUS					\
-	0x20173F20L,0xC559,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("20173F20-C559-11D0-8A2B-00A0C9255AC1",KSNODETYPE_CHORUS);
-#define KSNODETYPE_CHORUS DEFINE_GUIDNAMED(KSNODETYPE_CHORUS)
-
-#define STATIC_KSNODETYPE_3D_EFFECTS					\
-	0x55515860L,0xC559,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("55515860-C559-11D0-8A2B-00A0C9255AC1",KSNODETYPE_3D_EFFECTS);
-#define KSNODETYPE_3D_EFFECTS DEFINE_GUIDNAMED(KSNODETYPE_3D_EFFECTS)
-
-#define STATIC_KSNODETYPE_ACOUSTIC_ECHO_CANCEL STATIC_KSCATEGORY_ACOUSTIC_ECHO_CANCEL
-#define KSNODETYPE_ACOUSTIC_ECHO_CANCEL KSCATEGORY_ACOUSTIC_ECHO_CANCEL
-
-#define STATIC_KSALGORITHMINSTANCE_SYSTEM_ACOUSTIC_ECHO_CANCEL		\
-	0x1c22c56dL,0x9879,0x4f5b,0xa3,0x89,0x27,0x99,0x6d,0xdc,0x28,0x10
-DEFINE_GUIDSTRUCT("1C22C56D-9879-4f5b-A389-27996DDC2810",KSALGORITHMINSTANCE_SYSTEM_ACOUSTIC_ECHO_CANCEL);
-#define KSALGORITHMINSTANCE_SYSTEM_ACOUSTIC_ECHO_CANCEL DEFINE_GUIDNAMED(KSALGORITHMINSTANCE_SYSTEM_ACOUSTIC_ECHO_CANCEL)
-
-#define STATIC_KSALGORITHMINSTANCE_SYSTEM_NOISE_SUPPRESS		\
-	0x5ab0882eL,0x7274,0x4516,0x87,0x7d,0x4e,0xee,0x99,0xba,0x4f,0xd0
-DEFINE_GUIDSTRUCT("5AB0882E-7274-4516-877D-4EEE99BA4FD0",KSALGORITHMINSTANCE_SYSTEM_NOISE_SUPPRESS);
-#define KSALGORITHMINSTANCE_SYSTEM_NOISE_SUPPRESS DEFINE_GUIDNAMED(KSALGORITHMINSTANCE_SYSTEM_NOISE_SUPPRESS)
-
-#define STATIC_KSALGORITHMINSTANCE_SYSTEM_AGC				\
-	0x950e55b9L,0x877c,0x4c67,0xbe,0x8,0xe4,0x7b,0x56,0x11,0x13,0xa
-DEFINE_GUIDSTRUCT("950E55B9-877C-4c67-BE08-E47B5611130A",KSALGORITHMINSTANCE_SYSTEM_AGC);
-#define KSALGORITHMINSTANCE_SYSTEM_AGC DEFINE_GUIDNAMED(KSALGORITHMINSTANCE_SYSTEM_AGC)
-
-#define STATIC_KSALGORITHMINSTANCE_SYSTEM_MICROPHONE_ARRAY_PROCESSOR	\
-	0xB6F5A0A0L,0x9E61,0x4F8C,0x91,0xE3,0x76,0xCF,0xF,0x3C,0x47,0x1F
-DEFINE_GUIDSTRUCT("B6F5A0A0-9E61-4f8c-91E3-76CF0F3C471F",KSALGORITHMINSTANCE_SYSTEM_MICROPHONE_ARRAY_PROCESSOR);
-#define KSALGORITHMINSTANCE_SYSTEM_MICROPHONE_ARRAY_PROCESSOR DEFINE_GUIDNAMED(KSALGORITHMINSTANCE_SYSTEM_MICROPHONE_ARRAY_PROCESSOR)
-
-#define STATIC_KSNODETYPE_MICROPHONE_ARRAY_PROCESSOR STATIC_KSCATEGORY_MICROPHONE_ARRAY_PROCESSOR
-#define KSNODETYPE_MICROPHONE_ARRAY_PROCESSOR KSCATEGORY_MICROPHONE_ARRAY_PROCESSOR
-
-#define STATIC_KSNODETYPE_DEV_SPECIFIC					\
-	0x941C7AC0L,0xC559,0x11D0,0x8A,0x2B,0x00,0xA0,0xC9,0x25,0x5A,0xC1
-DEFINE_GUIDSTRUCT("941C7AC0-C559-11D0-8A2B-00A0C9255AC1",KSNODETYPE_DEV_SPECIFIC);
-#define KSNODETYPE_DEV_SPECIFIC DEFINE_GUIDNAMED(KSNODETYPE_DEV_SPECIFIC)
-
-#define STATIC_KSNODETYPE_PROLOGIC_ENCODER				\
-	0x8074C5B2L,0x3C66,0x11D2,0xB4,0x5A,0x30,0x78,0x30,0x2C,0x20,0x30
-DEFINE_GUIDSTRUCT("8074C5B2-3C66-11D2-B45A-3078302C2030",KSNODETYPE_PROLOGIC_ENCODER);
-#define KSNODETYPE_PROLOGIC_ENCODER DEFINE_GUIDNAMED(KSNODETYPE_PROLOGIC_ENCODER)
-#define KSNODETYPE_SURROUND_ENCODER KSNODETYPE_PROLOGIC_ENCODER
-
-#define STATIC_KSNODETYPE_PEAKMETER					\
-	0xa085651eL,0x5f0d,0x4b36,0xa8,0x69,0xd1,0x95,0xd6,0xab,0x4b,0x9e
-DEFINE_GUIDSTRUCT("A085651E-5F0D-4b36-A869-D195D6AB4B9E",KSNODETYPE_PEAKMETER);
-#define KSNODETYPE_PEAKMETER DEFINE_GUIDNAMED(KSNODETYPE_PEAKMETER)
-
-#define STATIC_KSAUDFNAME_BASS						\
-	0x185FEDE0L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE0-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_BASS);
-#define KSAUDFNAME_BASS DEFINE_GUIDNAMED(KSAUDFNAME_BASS)
-
-#define STATIC_KSAUDFNAME_TREBLE					\
-	0x185FEDE1L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE1-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_TREBLE);
-#define KSAUDFNAME_TREBLE DEFINE_GUIDNAMED(KSAUDFNAME_TREBLE)
-
-#define STATIC_KSAUDFNAME_3D_STEREO					\
-	0x185FEDE2L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE2-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_3D_STEREO);
-#define KSAUDFNAME_3D_STEREO DEFINE_GUIDNAMED(KSAUDFNAME_3D_STEREO)
-
-#define STATIC_KSAUDFNAME_MASTER_VOLUME					\
-	0x185FEDE3L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE3-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_MASTER_VOLUME);
-#define KSAUDFNAME_MASTER_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_MASTER_VOLUME)
-
-#define STATIC_KSAUDFNAME_MASTER_MUTE					\
-	0x185FEDE4L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE4-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_MASTER_MUTE);
-#define KSAUDFNAME_MASTER_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_MASTER_MUTE)
-
-#define STATIC_KSAUDFNAME_WAVE_VOLUME					\
-	0x185FEDE5L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE5-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_WAVE_VOLUME);
-#define KSAUDFNAME_WAVE_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_WAVE_VOLUME)
-
-#define STATIC_KSAUDFNAME_WAVE_MUTE					\
-	0x185FEDE6L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE6-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_WAVE_MUTE);
-#define KSAUDFNAME_WAVE_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_WAVE_MUTE)
-
-#define STATIC_KSAUDFNAME_MIDI_VOLUME					\
-	0x185FEDE7L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE7-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_MIDI_VOLUME);
-#define KSAUDFNAME_MIDI_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_MIDI_VOLUME)
-
-#define STATIC_KSAUDFNAME_MIDI_MUTE					\
-	0x185FEDE8L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE8-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_MIDI_MUTE);
-#define KSAUDFNAME_MIDI_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_MIDI_MUTE)
-
-#define STATIC_KSAUDFNAME_CD_VOLUME					\
-	0x185FEDE9L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDE9-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_CD_VOLUME);
-#define KSAUDFNAME_CD_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_CD_VOLUME)
-
-#define STATIC_KSAUDFNAME_CD_MUTE					\
-	0x185FEDEAL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDEA-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_CD_MUTE);
-#define KSAUDFNAME_CD_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_CD_MUTE)
-
-#define STATIC_KSAUDFNAME_LINE_VOLUME					\
-	0x185FEDEBL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDEB-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_LINE_VOLUME);
-#define KSAUDFNAME_LINE_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_LINE_VOLUME)
-
-#define STATIC_KSAUDFNAME_LINE_MUTE					\
-	0x185FEDECL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDEC-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_LINE_MUTE);
-#define KSAUDFNAME_LINE_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_LINE_MUTE)
-
-#define STATIC_KSAUDFNAME_MIC_VOLUME					\
-	0x185FEDEDL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDED-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_MIC_VOLUME);
-#define KSAUDFNAME_MIC_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_MIC_VOLUME)
-
-#define STATIC_KSAUDFNAME_MIC_MUTE					\
-	0x185FEDEEL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDEE-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_MIC_MUTE);
-#define KSAUDFNAME_MIC_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_MIC_MUTE)
-
-#define STATIC_KSAUDFNAME_RECORDING_SOURCE				\
-	0x185FEDEFL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDEF-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_RECORDING_SOURCE);
-#define KSAUDFNAME_RECORDING_SOURCE DEFINE_GUIDNAMED(KSAUDFNAME_RECORDING_SOURCE)
-
-#define STATIC_KSAUDFNAME_PC_SPEAKER_VOLUME				\
-	0x185FEDF0L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF0-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_PC_SPEAKER_VOLUME);
-#define KSAUDFNAME_PC_SPEAKER_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_PC_SPEAKER_VOLUME)
-
-#define STATIC_KSAUDFNAME_PC_SPEAKER_MUTE				\
-	0x185FEDF1L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF1-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_PC_SPEAKER_MUTE);
-#define KSAUDFNAME_PC_SPEAKER_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_PC_SPEAKER_MUTE)
-
-#define STATIC_KSAUDFNAME_MIDI_IN_VOLUME				\
-	0x185FEDF2L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF2-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_MIDI_IN_VOLUME);
-#define KSAUDFNAME_MIDI_IN_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_MIDI_IN_VOLUME)
-
-#define STATIC_KSAUDFNAME_CD_IN_VOLUME					\
-	0x185FEDF3L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF3-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_CD_IN_VOLUME);
-#define KSAUDFNAME_CD_IN_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_CD_IN_VOLUME)
-
-#define STATIC_KSAUDFNAME_LINE_IN_VOLUME				\
-	0x185FEDF4L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF4-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_LINE_IN_VOLUME);
-#define KSAUDFNAME_LINE_IN_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_LINE_IN_VOLUME)
-
-#define STATIC_KSAUDFNAME_MIC_IN_VOLUME					\
-	0x185FEDF5L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF5-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_MIC_IN_VOLUME);
-#define KSAUDFNAME_MIC_IN_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_MIC_IN_VOLUME)
-
-#define STATIC_KSAUDFNAME_WAVE_IN_VOLUME				\
-	0x185FEDF6L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF6-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_WAVE_IN_VOLUME);
-#define KSAUDFNAME_WAVE_IN_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_WAVE_IN_VOLUME)
-
-#define STATIC_KSAUDFNAME_VOLUME_CONTROL				\
-	0x185FEDF7L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF7-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_VOLUME_CONTROL);
-#define KSAUDFNAME_VOLUME_CONTROL DEFINE_GUIDNAMED(KSAUDFNAME_VOLUME_CONTROL)
-
-#define STATIC_KSAUDFNAME_MIDI						\
-	0x185FEDF8L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF8-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_MIDI);
-#define KSAUDFNAME_MIDI DEFINE_GUIDNAMED(KSAUDFNAME_MIDI)
-
-#define STATIC_KSAUDFNAME_LINE_IN					\
-	0x185FEDF9L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDF9-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_LINE_IN);
-#define KSAUDFNAME_LINE_IN DEFINE_GUIDNAMED(KSAUDFNAME_LINE_IN)
-
-#define STATIC_KSAUDFNAME_RECORDING_CONTROL				\
-	0x185FEDFAL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDFA-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_RECORDING_CONTROL);
-#define KSAUDFNAME_RECORDING_CONTROL DEFINE_GUIDNAMED(KSAUDFNAME_RECORDING_CONTROL)
-
-#define STATIC_KSAUDFNAME_CD_AUDIO					\
-	0x185FEDFBL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDFB-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_CD_AUDIO);
-#define KSAUDFNAME_CD_AUDIO DEFINE_GUIDNAMED(KSAUDFNAME_CD_AUDIO)
-
-#define STATIC_KSAUDFNAME_AUX_VOLUME					\
-	0x185FEDFCL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDFC-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_AUX_VOLUME);
-#define KSAUDFNAME_AUX_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_AUX_VOLUME)
-
-#define STATIC_KSAUDFNAME_AUX_MUTE					\
-	0x185FEDFDL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDFD-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_AUX_MUTE);
-#define KSAUDFNAME_AUX_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_AUX_MUTE)
-
-#define STATIC_KSAUDFNAME_AUX						\
-	0x185FEDFEL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDFE-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_AUX);
-#define KSAUDFNAME_AUX DEFINE_GUIDNAMED(KSAUDFNAME_AUX)
-
-#define STATIC_KSAUDFNAME_PC_SPEAKER					\
-	0x185FEDFFL,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEDFF-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_PC_SPEAKER);
-#define KSAUDFNAME_PC_SPEAKER DEFINE_GUIDNAMED(KSAUDFNAME_PC_SPEAKER)
-
-#define STATIC_KSAUDFNAME_WAVE_OUT_MIX					\
-	0x185FEE00L,0x9905,0x11D1,0x95,0xA9,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("185FEE00-9905-11D1-95A9-00C04FB925D3",KSAUDFNAME_WAVE_OUT_MIX);
-#define KSAUDFNAME_WAVE_OUT_MIX DEFINE_GUIDNAMED(KSAUDFNAME_WAVE_OUT_MIX)
-
-#define STATIC_KSAUDFNAME_MONO_OUT					\
-	0xf9b41dc3L,0x96e2,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("F9B41DC3-96E2-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_MONO_OUT);
-#define KSAUDFNAME_MONO_OUT DEFINE_GUIDNAMED(KSAUDFNAME_MONO_OUT)
-
-#define STATIC_KSAUDFNAME_STEREO_MIX					\
-	0xdff077L,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("00DFF077-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_STEREO_MIX);
-#define KSAUDFNAME_STEREO_MIX DEFINE_GUIDNAMED(KSAUDFNAME_STEREO_MIX)
-
-#define STATIC_KSAUDFNAME_MONO_MIX					\
-	0xdff078L,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("00DFF078-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_MONO_MIX);
-#define KSAUDFNAME_MONO_MIX DEFINE_GUIDNAMED(KSAUDFNAME_MONO_MIX)
-
-#define STATIC_KSAUDFNAME_MONO_OUT_VOLUME				\
-	0x1ad247ebL,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("1AD247EB-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_MONO_OUT_VOLUME);
-#define KSAUDFNAME_MONO_OUT_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_MONO_OUT_VOLUME)
-
-#define STATIC_KSAUDFNAME_MONO_OUT_MUTE					\
-	0x1ad247ecL,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("1AD247EC-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_MONO_OUT_MUTE);
-#define KSAUDFNAME_MONO_OUT_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_MONO_OUT_MUTE)
-
-#define STATIC_KSAUDFNAME_STEREO_MIX_VOLUME				\
-	0x1ad247edL,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("1AD247ED-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_STEREO_MIX_VOLUME);
-#define KSAUDFNAME_STEREO_MIX_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_STEREO_MIX_VOLUME)
-
-#define STATIC_KSAUDFNAME_STEREO_MIX_MUTE				\
-	0x22b0eafdL,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("22B0EAFD-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_STEREO_MIX_MUTE);
-#define KSAUDFNAME_STEREO_MIX_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_STEREO_MIX_MUTE)
-
-#define STATIC_KSAUDFNAME_MONO_MIX_VOLUME				\
-	0x22b0eafeL,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("22B0EAFE-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_MONO_MIX_VOLUME);
-#define KSAUDFNAME_MONO_MIX_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_MONO_MIX_VOLUME)
-
-#define STATIC_KSAUDFNAME_MONO_MIX_MUTE					\
-	0x2bc31d69L,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("2BC31D69-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_MONO_MIX_MUTE);
-#define KSAUDFNAME_MONO_MIX_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_MONO_MIX_MUTE)
-
-#define STATIC_KSAUDFNAME_MICROPHONE_BOOST				\
-	0x2bc31d6aL,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("2BC31D6A-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_MICROPHONE_BOOST);
-#define KSAUDFNAME_MICROPHONE_BOOST DEFINE_GUIDNAMED(KSAUDFNAME_MICROPHONE_BOOST)
-
-#define STATIC_KSAUDFNAME_ALTERNATE_MICROPHONE				\
-	0x2bc31d6bL,0x96e3,0x11d2,0xac,0x4c,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("2BC31D6B-96E3-11d2-AC4C-00C04F8EFB68",KSAUDFNAME_ALTERNATE_MICROPHONE);
-#define KSAUDFNAME_ALTERNATE_MICROPHONE DEFINE_GUIDNAMED(KSAUDFNAME_ALTERNATE_MICROPHONE)
-
-#define STATIC_KSAUDFNAME_3D_DEPTH					\
-	0x63ff5747L,0x991f,0x11d2,0xac,0x4d,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("63FF5747-991F-11d2-AC4D-00C04F8EFB68",KSAUDFNAME_3D_DEPTH);
-#define KSAUDFNAME_3D_DEPTH DEFINE_GUIDNAMED(KSAUDFNAME_3D_DEPTH)
-
-#define STATIC_KSAUDFNAME_3D_CENTER					\
-	0x9f0670b4L,0x991f,0x11d2,0xac,0x4d,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("9F0670B4-991F-11d2-AC4D-00C04F8EFB68",KSAUDFNAME_3D_CENTER);
-#define KSAUDFNAME_3D_CENTER DEFINE_GUIDNAMED(KSAUDFNAME_3D_CENTER)
-
-#define STATIC_KSAUDFNAME_VIDEO_VOLUME					\
-	0x9b46e708L,0x992a,0x11d2,0xac,0x4d,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("9B46E708-992A-11d2-AC4D-00C04F8EFB68",KSAUDFNAME_VIDEO_VOLUME);
-#define KSAUDFNAME_VIDEO_VOLUME DEFINE_GUIDNAMED(KSAUDFNAME_VIDEO_VOLUME)
-
-#define STATIC_KSAUDFNAME_VIDEO_MUTE					\
-	0x9b46e709L,0x992a,0x11d2,0xac,0x4d,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("9B46E709-992A-11d2-AC4D-00C04F8EFB68",KSAUDFNAME_VIDEO_MUTE);
-#define KSAUDFNAME_VIDEO_MUTE DEFINE_GUIDNAMED(KSAUDFNAME_VIDEO_MUTE)
-
-#define STATIC_KSAUDFNAME_VIDEO						\
-	0x915daec4L,0xa434,0x11d2,0xac,0x52,0x0,0xc0,0x4f,0x8e,0xfb,0x68
-DEFINE_GUIDSTRUCT("915DAEC4-A434-11d2-AC52-00C04F8EFB68",KSAUDFNAME_VIDEO);
-#define KSAUDFNAME_VIDEO DEFINE_GUIDNAMED(KSAUDFNAME_VIDEO)
-
-#define STATIC_KSAUDFNAME_PEAKMETER					\
-	0x57e24340L,0xfc5b,0x4612,0xa5,0x62,0x72,0xb1,0x1a,0x29,0xdf,0xae
-DEFINE_GUIDSTRUCT("57E24340-FC5B-4612-A562-72B11A29DFAE",KSAUDFNAME_PEAKMETER);
-#define KSAUDFNAME_PEAKMETER DEFINE_GUIDNAMED(KSAUDFNAME_PEAKMETER)
-
-#define KSNODEPIN_STANDARD_IN		1
-#define KSNODEPIN_STANDARD_OUT		0
-
-#define KSNODEPIN_SUM_MUX_IN		1
-#define KSNODEPIN_SUM_MUX_OUT		0
-
-#define KSNODEPIN_DEMUX_IN		0
-#define KSNODEPIN_DEMUX_OUT		1
-
-#define KSNODEPIN_AEC_RENDER_IN		1
-#define KSNODEPIN_AEC_RENDER_OUT	0
-#define KSNODEPIN_AEC_CAPTURE_IN	2
-#define KSNODEPIN_AEC_CAPTURE_OUT	3
-
-#define STATIC_KSMETHODSETID_Wavetable					\
-	0xDCEF31EBL,0xD907,0x11D0,0x95,0x83,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("DCEF31EB-D907-11D0-9583-00C04FB925D3",KSMETHODSETID_Wavetable);
-#define KSMETHODSETID_Wavetable DEFINE_GUIDNAMED(KSMETHODSETID_Wavetable)
-
-typedef enum {
-  KSMETHOD_WAVETABLE_WAVE_ALLOC,
-  KSMETHOD_WAVETABLE_WAVE_FREE,
-  KSMETHOD_WAVETABLE_WAVE_FIND,
-  KSMETHOD_WAVETABLE_WAVE_WRITE
-} KSMETHOD_WAVETABLE;
-
-typedef struct {
-  KSIDENTIFIER Identifier;
-  ULONG Size;
-  WINBOOL Looped;
-  ULONG LoopPoint;
-  WINBOOL InROM;
-  KSDATAFORMAT Format;
-} KSWAVETABLE_WAVE_DESC,*PKSWAVETABLE_WAVE_DESC;
-
-#define STATIC_KSPROPSETID_Acoustic_Echo_Cancel				\
-	0xd7a4af8bL,0x3dc1,0x4902,0x91,0xea,0x8a,0x15,0xc9,0x0e,0x05,0xb2
-DEFINE_GUIDSTRUCT("D7A4AF8B-3DC1-4902-91EA-8A15C90E05B2",KSPROPSETID_Acoustic_Echo_Cancel);
-#define KSPROPSETID_Acoustic_Echo_Cancel DEFINE_GUIDNAMED(KSPROPSETID_Acoustic_Echo_Cancel)
-
-typedef enum {
-  KSPROPERTY_AEC_NOISE_FILL_ENABLE = 0,
-  KSPROPERTY_AEC_STATUS,
-  KSPROPERTY_AEC_MODE
-} KSPROPERTY_AEC;
-
-#define AEC_STATUS_FD_HISTORY_UNINITIALIZED		0x0
-#define AEC_STATUS_FD_HISTORY_CONTINUOUSLY_CONVERGED	0x1
-#define AEC_STATUS_FD_HISTORY_PREVIOUSLY_DIVERGED	0x2
-#define AEC_STATUS_FD_CURRENTLY_CONVERGED		0x8
-
-#define AEC_MODE_PASS_THROUGH				0x0
-#define AEC_MODE_HALF_DUPLEX				0x1
-#define AEC_MODE_FULL_DUPLEX				0x2
-
-#define STATIC_KSPROPSETID_Wave						\
-	0x924e54b0L,0x630f,0x11cf,0xad,0xa7,0x08,0x00,0x3e,0x30,0x49,0x4a
-DEFINE_GUIDSTRUCT("924e54b0-630f-11cf-ada7-08003e30494a",KSPROPSETID_Wave);
-#define KSPROPSETID_Wave DEFINE_GUIDNAMED(KSPROPSETID_Wave)
-
-typedef enum {
-  KSPROPERTY_WAVE_COMPATIBLE_CAPABILITIES,
-  KSPROPERTY_WAVE_INPUT_CAPABILITIES,
-  KSPROPERTY_WAVE_OUTPUT_CAPABILITIES,
-  KSPROPERTY_WAVE_BUFFER,
-  KSPROPERTY_WAVE_FREQUENCY,
-  KSPROPERTY_WAVE_VOLUME,
-  KSPROPERTY_WAVE_PAN
-} KSPROPERTY_WAVE;
-
-typedef struct {
-  ULONG ulDeviceType;
-} KSWAVE_COMPATCAPS,*PKSWAVE_COMPATCAPS;
-
-#define KSWAVE_COMPATCAPS_INPUT		0x00000000
-#define KSWAVE_COMPATCAPS_OUTPUT	0x00000001
-
-typedef struct {
-  ULONG MaximumChannelsPerConnection;
-  ULONG MinimumBitsPerSample;
-  ULONG MaximumBitsPerSample;
-  ULONG MinimumSampleFrequency;
-  ULONG MaximumSampleFrequency;
-  ULONG TotalConnections;
-  ULONG ActiveConnections;
-} KSWAVE_INPUT_CAPABILITIES,*PKSWAVE_INPUT_CAPABILITIES;
-
-typedef struct {
-  ULONG MaximumChannelsPerConnection;
-  ULONG MinimumBitsPerSample;
-  ULONG MaximumBitsPerSample;
-  ULONG MinimumSampleFrequency;
-  ULONG MaximumSampleFrequency;
-  ULONG TotalConnections;
-  ULONG StaticConnections;
-  ULONG StreamingConnections;
-  ULONG ActiveConnections;
-  ULONG ActiveStaticConnections;
-  ULONG ActiveStreamingConnections;
-  ULONG Total3DConnections;
-  ULONG Static3DConnections;
-  ULONG Streaming3DConnections;
-  ULONG Active3DConnections;
-  ULONG ActiveStatic3DConnections;
-  ULONG ActiveStreaming3DConnections;
-  ULONG TotalSampleMemory;
-  ULONG FreeSampleMemory;
-  ULONG LargestFreeContiguousSampleMemory;
-} KSWAVE_OUTPUT_CAPABILITIES,*PKSWAVE_OUTPUT_CAPABILITIES;
-
-typedef struct {
-  LONG LeftAttenuation;
-  LONG RightAttenuation;
-} KSWAVE_VOLUME,*PKSWAVE_VOLUME;
-
-#define KSWAVE_BUFFER_ATTRIBUTEF_LOOPING	0x00000001
-#define KSWAVE_BUFFER_ATTRIBUTEF_STATIC		0x00000002
-
-typedef struct {
-  ULONG Attributes;
-  ULONG BufferSize;
-  PVOID BufferAddress;
-} KSWAVE_BUFFER,*PKSWAVE_BUFFER;
-
-#define STATIC_KSMUSIC_TECHNOLOGY_PORT					\
-	0x86C92E60L,0x62E8,0x11CF,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("86C92E60-62E8-11CF-A5D6-28DB04C10000",KSMUSIC_TECHNOLOGY_PORT);
-#define KSMUSIC_TECHNOLOGY_PORT DEFINE_GUIDNAMED(KSMUSIC_TECHNOLOGY_PORT)
-
-#define STATIC_KSMUSIC_TECHNOLOGY_SQSYNTH				\
-	0x0ECF4380L,0x62E9,0x11CF,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("0ECF4380-62E9-11CF-A5D6-28DB04C10000",KSMUSIC_TECHNOLOGY_SQSYNTH);
-#define KSMUSIC_TECHNOLOGY_SQSYNTH DEFINE_GUIDNAMED(KSMUSIC_TECHNOLOGY_SQSYNTH)
-
-#define STATIC_KSMUSIC_TECHNOLOGY_FMSYNTH				\
-	0x252C5C80L,0x62E9,0x11CF,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("252C5C80-62E9-11CF-A5D6-28DB04C10000",KSMUSIC_TECHNOLOGY_FMSYNTH);
-#define KSMUSIC_TECHNOLOGY_FMSYNTH DEFINE_GUIDNAMED(KSMUSIC_TECHNOLOGY_FMSYNTH)
-
-#define STATIC_KSMUSIC_TECHNOLOGY_WAVETABLE				\
-	0x394EC7C0L,0x62E9,0x11CF,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("394EC7C0-62E9-11CF-A5D6-28DB04C10000",KSMUSIC_TECHNOLOGY_WAVETABLE);
-#define KSMUSIC_TECHNOLOGY_WAVETABLE DEFINE_GUIDNAMED(KSMUSIC_TECHNOLOGY_WAVETABLE)
-
-#define STATIC_KSMUSIC_TECHNOLOGY_SWSYNTH				\
-	0x37407736L,0x3620,0x11D1,0x85,0xD3,0x00,0x00,0xF8,0x75,0x43,0x80
-DEFINE_GUIDSTRUCT("37407736-3620-11D1-85D3-0000F8754380",KSMUSIC_TECHNOLOGY_SWSYNTH);
-#define KSMUSIC_TECHNOLOGY_SWSYNTH DEFINE_GUIDNAMED(KSMUSIC_TECHNOLOGY_SWSYNTH)
-
-#define STATIC_KSPROPSETID_WaveTable					\
-	0x8539E660L,0x62E9,0x11CF,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("8539E660-62E9-11CF-A5D6-28DB04C10000",KSPROPSETID_WaveTable);
-#define KSPROPSETID_WaveTable DEFINE_GUIDNAMED(KSPROPSETID_WaveTable)
-
-typedef enum {
-  KSPROPERTY_WAVETABLE_LOAD_SAMPLE,
-  KSPROPERTY_WAVETABLE_UNLOAD_SAMPLE,
-  KSPROPERTY_WAVETABLE_MEMORY,
-  KSPROPERTY_WAVETABLE_VERSION
-} KSPROPERTY_WAVETABLE;
-
-typedef struct {
-  KSDATARANGE DataRange;
-  GUID Technology;
-  ULONG Channels;
-  ULONG Notes;
-  ULONG ChannelMask;
-} KSDATARANGE_MUSIC,*PKSDATARANGE_MUSIC;
-
-#define STATIC_KSEVENTSETID_Cyclic					\
-	0x142C1AC0L,0x072A,0x11D0,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("142C1AC0-072A-11D0-A5D6-28DB04C10000",KSEVENTSETID_Cyclic);
-#define KSEVENTSETID_Cyclic DEFINE_GUIDNAMED(KSEVENTSETID_Cyclic)
-
-typedef enum {
-  KSEVENT_CYCLIC_TIME_INTERVAL
-} KSEVENT_CYCLIC_TIME;
-
-#define STATIC_KSPROPSETID_Cyclic					\
-	0x3FFEAEA0L,0x2BEE,0x11CF,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("3FFEAEA0-2BEE-11CF-A5D6-28DB04C10000",KSPROPSETID_Cyclic);
-#define KSPROPSETID_Cyclic DEFINE_GUIDNAMED(KSPROPSETID_Cyclic)
-
-typedef enum {
-  KSPROPERTY_CYCLIC_POSITION
-} KSPROPERTY_CYCLIC;
-
-#define STATIC_KSEVENTSETID_AudioControlChange				\
-	0xE85E9698L,0xFA2F,0x11D1,0x95,0xBD,0x00,0xC0,0x4F,0xB9,0x25,0xD3
-DEFINE_GUIDSTRUCT("E85E9698-FA2F-11D1-95BD-00C04FB925D3",KSEVENTSETID_AudioControlChange);
-#define KSEVENTSETID_AudioControlChange DEFINE_GUIDNAMED(KSEVENTSETID_AudioControlChange)
-
-typedef enum {
-  KSEVENT_CONTROL_CHANGE
-} KSEVENT_AUDIO_CONTROL_CHANGE;
-
-#define STATIC_KSEVENTSETID_LoopedStreaming				\
-	0x4682B940L,0xC6EF,0x11D0,0x96,0xD8,0x00,0xAA,0x00,0x51,0xE5,0x1D
-DEFINE_GUIDSTRUCT("4682B940-C6EF-11D0-96D8-00AA0051E51D",KSEVENTSETID_LoopedStreaming);
-#define KSEVENTSETID_LoopedStreaming DEFINE_GUIDNAMED(KSEVENTSETID_LoopedStreaming)
-
-typedef enum {
-  KSEVENT_LOOPEDSTREAMING_POSITION
-} KSEVENT_LOOPEDSTREAMING;
-
-typedef struct {
-  KSEVENTDATA KsEventData;
-  DWORDLONG Position;
-} LOOPEDSTREAMING_POSITION_EVENT_DATA,*PLOOPEDSTREAMING_POSITION_EVENT_DATA;
-
-#define STATIC_KSPROPSETID_Sysaudio					\
-	0xCBE3FAA0L,0xCC75,0x11D0,0xB4,0x65,0x00,0x00,0x1A,0x18,0x18,0xE6
-DEFINE_GUIDSTRUCT("CBE3FAA0-CC75-11D0-B465-00001A1818E6",KSPROPSETID_Sysaudio);
-#define KSPROPSETID_Sysaudio DEFINE_GUIDNAMED(KSPROPSETID_Sysaudio)
-
-typedef enum {
-  KSPROPERTY_SYSAUDIO_DEVICE_COUNT = 1,
-  KSPROPERTY_SYSAUDIO_DEVICE_FRIENDLY_NAME = 2,
-  KSPROPERTY_SYSAUDIO_DEVICE_INSTANCE = 3,
-  KSPROPERTY_SYSAUDIO_DEVICE_INTERFACE_NAME = 4,
-  KSPROPERTY_SYSAUDIO_SELECT_GRAPH = 5,
-  KSPROPERTY_SYSAUDIO_CREATE_VIRTUAL_SOURCE = 6,
-  KSPROPERTY_SYSAUDIO_DEVICE_DEFAULT = 7,
-  KSPROPERTY_SYSAUDIO_INSTANCE_INFO = 14,
-  KSPROPERTY_SYSAUDIO_COMPONENT_ID = 16
-} KSPROPERTY_SYSAUDIO;
-
-typedef struct {
-  KSPROPERTY Property;
-  GUID PinCategory;
-  GUID PinName;
-} SYSAUDIO_CREATE_VIRTUAL_SOURCE,*PSYSAUDIO_CREATE_VIRTUAL_SOURCE;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG PinId;
-  ULONG NodeId;
-  ULONG Flags;
-  ULONG Reserved;
-} SYSAUDIO_SELECT_GRAPH,*PSYSAUDIO_SELECT_GRAPH;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG Flags;
-  ULONG DeviceNumber;
-} SYSAUDIO_INSTANCE_INFO,*PSYSAUDIO_INSTANCE_INFO;
-
-#define SYSAUDIO_FLAGS_DONT_COMBINE_PINS	0x00000001
-
-#define STATIC_KSPROPSETID_Sysaudio_Pin					\
-	0xA3A53220L,0xC6E4,0x11D0,0xB4,0x65,0x00,0x00,0x1A,0x18,0x18,0xE6
-DEFINE_GUIDSTRUCT("A3A53220-C6E4-11D0-B465-00001A1818E6",KSPROPSETID_Sysaudio_Pin);
-#define KSPROPSETID_Sysaudio_Pin DEFINE_GUIDNAMED(KSPROPSETID_Sysaudio_Pin)
-
-typedef enum {
-  KSPROPERTY_SYSAUDIO_ATTACH_VIRTUAL_SOURCE = 1
-} KSPROPERTY_SYSAUDIO_PIN;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG MixerPinId;
-  ULONG Reserved;
-} SYSAUDIO_ATTACH_VIRTUAL_SOURCE,*PSYSAUDIO_ATTACH_VIRTUAL_SOURCE;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG NodeId;
-  ULONG Reserved;
-} KSNODEPROPERTY,*PKSNODEPROPERTY;
-
-typedef struct {
-  KSNODEPROPERTY NodeProperty;
-  LONG Channel;
-  ULONG Reserved;
-} KSNODEPROPERTY_AUDIO_CHANNEL,*PKSNODEPROPERTY_AUDIO_CHANNEL;
-
-typedef struct {
-  KSNODEPROPERTY NodeProperty;
-  ULONG DevSpecificId;
-  ULONG DeviceInfo;
-  ULONG Length;
-} KSNODEPROPERTY_AUDIO_DEV_SPECIFIC,*PKSNODEPROPERTY_AUDIO_DEV_SPECIFIC;
-
-typedef struct {
-  KSNODEPROPERTY NodeProperty;
-  PVOID ListenerId;
-#ifndef _WIN64
-  ULONG Reserved;
-#endif
-} KSNODEPROPERTY_AUDIO_3D_LISTENER,*PKSNODEPROPERTY_AUDIO_3D_LISTENER;
-
-typedef struct {
-  KSNODEPROPERTY NodeProperty;
-  PVOID AppContext;
-  ULONG Length;
-#ifndef _WIN64
-  ULONG Reserved;
-#endif
-} KSNODEPROPERTY_AUDIO_PROPERTY,*PKSNODEPROPERTY_AUDIO_PROPERTY;
-
-#define STATIC_KSPROPSETID_AudioGfx					\
-	0x79a9312eL,0x59ae,0x43b0,0xa3,0x50,0x8b,0x5,0x28,0x4c,0xab,0x24
-DEFINE_GUIDSTRUCT("79A9312E-59AE-43b0-A350-8B05284CAB24",KSPROPSETID_AudioGfx);
-#define KSPROPSETID_AudioGfx DEFINE_GUIDNAMED(KSPROPSETID_AudioGfx)
-
-typedef enum {
-  KSPROPERTY_AUDIOGFX_RENDERTARGETDEVICEID,
-  KSPROPERTY_AUDIOGFX_CAPTURETARGETDEVICEID
-} KSPROPERTY_AUDIOGFX;
-
-#define STATIC_KSPROPSETID_Linear					\
-	0x5A2FFE80L,0x16B9,0x11D0,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("5A2FFE80-16B9-11D0-A5D6-28DB04C10000",KSPROPSETID_Linear);
-#define KSPROPSETID_Linear DEFINE_GUIDNAMED(KSPROPSETID_Linear)
-
-typedef enum {
-  KSPROPERTY_LINEAR_POSITION
-} KSPROPERTY_LINEAR;
-
-#define STATIC_KSDATAFORMAT_TYPE_MUSIC					\
-	0xE725D360L,0x62CC,0x11CF,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("E725D360-62CC-11CF-A5D6-28DB04C10000",KSDATAFORMAT_TYPE_MUSIC);
-#define KSDATAFORMAT_TYPE_MUSIC DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_MUSIC)
-
-#define STATIC_KSDATAFORMAT_TYPE_MIDI					\
-	0x7364696DL,0x0000,0x0010,0x80,0x00,0x00,0xaa,0x00,0x38,0x9b,0x71
-DEFINE_GUIDSTRUCT("7364696D-0000-0010-8000-00aa00389b71",KSDATAFORMAT_TYPE_MIDI);
-#define KSDATAFORMAT_TYPE_MIDI DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_MIDI)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_MIDI				\
-	0x1D262760L,0xE957,0x11CF,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("1D262760-E957-11CF-A5D6-28DB04C10000",KSDATAFORMAT_SUBTYPE_MIDI);
-#define KSDATAFORMAT_SUBTYPE_MIDI DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_MIDI)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_MIDI_BUS				\
-	0x2CA15FA0L,0x6CFE,0x11CF,0xA5,0xD6,0x28,0xDB,0x04,0xC1,0x00,0x00
-DEFINE_GUIDSTRUCT("2CA15FA0-6CFE-11CF-A5D6-28DB04C10000",KSDATAFORMAT_SUBTYPE_MIDI_BUS);
-#define KSDATAFORMAT_SUBTYPE_MIDI_BUS DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_MIDI_BUS)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_RIFFMIDI				\
-	0x4995DAF0L,0x9EE6,0x11D0,0xA4,0x0E,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("4995DAF0-9EE6-11D0-A40E-00A0C9223196",KSDATAFORMAT_SUBTYPE_RIFFMIDI);
-#define KSDATAFORMAT_SUBTYPE_RIFFMIDI DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_RIFFMIDI)
-
-typedef struct {
-  ULONG TimeDeltaMs;
-
-  ULONG ByteCount;
-} KSMUSICFORMAT,*PKSMUSICFORMAT;
-
-#define STATIC_KSDATAFORMAT_TYPE_STANDARD_ELEMENTARY_STREAM		\
-	0x36523b11L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B11-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_TYPE_STANDARD_ELEMENTARY_STREAM);
-#define KSDATAFORMAT_TYPE_STANDARD_ELEMENTARY_STREAM DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_STANDARD_ELEMENTARY_STREAM)
-
-#define STATIC_KSDATAFORMAT_TYPE_STANDARD_PES_PACKET			\
-	0x36523b12L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B12-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_TYPE_STANDARD_PES_PACKET);
-#define KSDATAFORMAT_TYPE_STANDARD_PES_PACKET DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_STANDARD_PES_PACKET)
-
-#define STATIC_KSDATAFORMAT_TYPE_STANDARD_PACK_HEADER			\
-	0x36523b13L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B13-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_TYPE_STANDARD_PACK_HEADER);
-#define KSDATAFORMAT_TYPE_STANDARD_PACK_HEADER DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_STANDARD_PACK_HEADER)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_STANDARD_MPEG1_VIDEO		\
-	0x36523b21L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B21-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SUBTYPE_STANDARD_MPEG1_VIDEO);
-#define KSDATAFORMAT_SUBTYPE_STANDARD_MPEG1_VIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_STANDARD_MPEG1_VIDEO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_STANDARD_MPEG1_AUDIO		\
-	0x36523b22L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B22-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SUBTYPE_STANDARD_MPEG1_AUDIO);
-#define KSDATAFORMAT_SUBTYPE_STANDARD_MPEG1_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_STANDARD_MPEG1_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_STANDARD_MPEG2_VIDEO		\
-	0x36523b23L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B23-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SUBTYPE_STANDARD_MPEG2_VIDEO);
-#define KSDATAFORMAT_SUBTYPE_STANDARD_MPEG2_VIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_STANDARD_MPEG2_VIDEO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_STANDARD_MPEG2_AUDIO		\
-	0x36523b24L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B24-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SUBTYPE_STANDARD_MPEG2_AUDIO);
-#define KSDATAFORMAT_SUBTYPE_STANDARD_MPEG2_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_STANDARD_MPEG2_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_STANDARD_AC3_AUDIO			\
-	0x36523b25L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B25-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SUBTYPE_STANDARD_AC3_AUDIO);
-#define KSDATAFORMAT_SUBTYPE_STANDARD_AC3_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_STANDARD_AC3_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_DIALECT_MPEG1_VIDEO		\
-	0x36523b31L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B31-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SPECIFIER_DIALECT_MPEG1_VIDEO);
-#define KSDATAFORMAT_SPECIFIER_DIALECT_MPEG1_VIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_DIALECT_MPEG1_VIDEO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_DIALECT_MPEG1_AUDIO		\
-	0x36523b32L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B32-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SPECIFIER_DIALECT_MPEG1_AUDIO);
-#define KSDATAFORMAT_SPECIFIER_DIALECT_MPEG1_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_DIALECT_MPEG1_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_DIALECT_MPEG2_VIDEO		\
-	0x36523b33L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B33-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SPECIFIER_DIALECT_MPEG2_VIDEO);
-#define KSDATAFORMAT_SPECIFIER_DIALECT_MPEG2_VIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_DIALECT_MPEG2_VIDEO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_DIALECT_MPEG2_AUDIO		\
-	0x36523b34L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B34-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SPECIFIER_DIALECT_MPEG2_AUDIO);
-#define KSDATAFORMAT_SPECIFIER_DIALECT_MPEG2_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_DIALECT_MPEG2_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_DIALECT_AC3_AUDIO			\
-	0x36523b35L,0x8ee5,0x11d1,0x8c,0xa3,0x00,0x60,0xb0,0x57,0x66,0x4a
-DEFINE_GUIDSTRUCT("36523B35-8EE5-11d1-8CA3-0060B057664A",KSDATAFORMAT_SPECIFIER_DIALECT_AC3_AUDIO);
-#define KSDATAFORMAT_SPECIFIER_DIALECT_AC3_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_DIALECT_AC3_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_DSS_VIDEO				\
-	0xa0af4f81L,0xe163,0x11d0,0xba,0xd9,0x00,0x60,0x97,0x44,0x11,0x1a
-DEFINE_GUIDSTRUCT("a0af4f81-e163-11d0-bad9-00609744111a",KSDATAFORMAT_SUBTYPE_DSS_VIDEO);
-#define KSDATAFORMAT_SUBTYPE_DSS_VIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_DSS_VIDEO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_DSS_AUDIO				\
-		0xa0af4f82L,0xe163,0x11d0,0xba,0xd9,0x00,0x60,0x97,0x44,0x11,0x1a
-DEFINE_GUIDSTRUCT("a0af4f82-e163-11d0-bad9-00609744111a",KSDATAFORMAT_SUBTYPE_DSS_AUDIO);
-#define KSDATAFORMAT_SUBTYPE_DSS_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_DSS_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_MPEG1Packet				\
-	0xe436eb80,0x524f,0x11ce,0x9f,0x53,0x00,0x20,0xaf,0x0b,0xa7,0x70
-DEFINE_GUIDSTRUCT("e436eb80-524f-11ce-9F53-0020af0ba770",KSDATAFORMAT_SUBTYPE_MPEG1Packet);
-#define KSDATAFORMAT_SUBTYPE_MPEG1Packet DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_MPEG1Packet)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_MPEG1Payload			\
-	0xe436eb81,0x524f,0x11ce,0x9f,0x53,0x00,0x20,0xaf,0x0b,0xa7,0x70
-DEFINE_GUIDSTRUCT("e436eb81-524f-11ce-9F53-0020af0ba770",KSDATAFORMAT_SUBTYPE_MPEG1Payload);
-#define KSDATAFORMAT_SUBTYPE_MPEG1Payload DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_MPEG1Payload)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_MPEG1Video				\
-	0xe436eb86,0x524f,0x11ce,0x9f,0x53,0x00,0x20,0xaf,0x0b,0xa7,0x70
-DEFINE_GUIDSTRUCT("e436eb86-524f-11ce-9f53-0020af0ba770",KSDATAFORMAT_SUBTYPE_MPEG1Video);
-#define KSDATAFORMAT_SUBTYPE_MPEG1Video DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_MPEG1Video)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_MPEG1_VIDEO			\
-	0x05589f82L,0xc356,0x11ce,0xbf,0x01,0x00,0xaa,0x00,0x55,0x59,0x5a
-DEFINE_GUIDSTRUCT("05589f82-c356-11ce-bf01-00aa0055595a",KSDATAFORMAT_SPECIFIER_MPEG1_VIDEO);
-#define KSDATAFORMAT_SPECIFIER_MPEG1_VIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_MPEG1_VIDEO)
-
-#define STATIC_KSDATAFORMAT_TYPE_MPEG2_PES				\
-	0xe06d8020L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d8020-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_TYPE_MPEG2_PES);
-#define KSDATAFORMAT_TYPE_MPEG2_PES DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_MPEG2_PES)
-
-#define STATIC_KSDATAFORMAT_TYPE_MPEG2_PROGRAM				\
-	0xe06d8022L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d8022-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_TYPE_MPEG2_PROGRAM);
-#define KSDATAFORMAT_TYPE_MPEG2_PROGRAM DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_MPEG2_PROGRAM)
-
-#define STATIC_KSDATAFORMAT_TYPE_MPEG2_TRANSPORT			\
-	0xe06d8023L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d8023-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_TYPE_MPEG2_TRANSPORT);
-#define KSDATAFORMAT_TYPE_MPEG2_TRANSPORT DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_MPEG2_TRANSPORT)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_MPEG2_VIDEO				\
-	0xe06d8026L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d8026-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SUBTYPE_MPEG2_VIDEO);
-#define KSDATAFORMAT_SUBTYPE_MPEG2_VIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_MPEG2_VIDEO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_MPEG2_VIDEO			\
-	0xe06d80e3L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d80e3-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SPECIFIER_MPEG2_VIDEO);
-#define KSDATAFORMAT_SPECIFIER_MPEG2_VIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_MPEG2_VIDEO)
-
-#define STATIC_KSPROPSETID_Mpeg2Vid					\
-	0xC8E11B60L,0x0CC9,0x11D0,0xBD,0x69,0x00,0x35,0x05,0xC1,0x03,0xA9
-DEFINE_GUIDSTRUCT("C8E11B60-0CC9-11D0-BD69-003505C103A9",KSPROPSETID_Mpeg2Vid);
-#define KSPROPSETID_Mpeg2Vid DEFINE_GUIDNAMED(KSPROPSETID_Mpeg2Vid)
-
-typedef enum {
-  KSPROPERTY_MPEG2VID_MODES,
-  KSPROPERTY_MPEG2VID_CUR_MODE,
-  KSPROPERTY_MPEG2VID_4_3_RECT,
-  KSPROPERTY_MPEG2VID_16_9_RECT,
-  KSPROPERTY_MPEG2VID_16_9_PANSCAN
-} KSPROPERTY_MPEG2VID;
-
-#define KSMPEGVIDMODE_PANSCAN	0x0001
-#define KSMPEGVIDMODE_LTRBOX	0x0002
-#define KSMPEGVIDMODE_SCALE	0x0004
-
-typedef struct _KSMPEGVID_RECT {
-  ULONG StartX;
-  ULONG StartY;
-  ULONG EndX;
-  ULONG EndY;
-} KSMPEGVID_RECT,*PKSMPEGVID_RECT;
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_MPEG2_AUDIO				\
-	0xe06d802bL,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d802b-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SUBTYPE_MPEG2_AUDIO);
-#define KSDATAFORMAT_SUBTYPE_MPEG2_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_MPEG2_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_MPEG2_AUDIO			\
-	0xe06d80e5L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d80e5-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SPECIFIER_MPEG2_AUDIO);
-#define KSDATAFORMAT_SPECIFIER_MPEG2_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_MPEG2_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_LPCM_AUDIO				\
-	0xe06d8032L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d8032-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SUBTYPE_LPCM_AUDIO);
-#define KSDATAFORMAT_SUBTYPE_LPCM_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_LPCM_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_LPCM_AUDIO			\
-	0xe06d80e6L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d80e6-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SPECIFIER_LPCM_AUDIO);
-#define KSDATAFORMAT_SPECIFIER_LPCM_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_LPCM_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_AC3_AUDIO				\
-	0xe06d802cL,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d802c-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SUBTYPE_AC3_AUDIO);
-#define KSDATAFORMAT_SUBTYPE_AC3_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_AC3_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_AC3_AUDIO				\
-	0xe06d80e4L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d80e4-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SPECIFIER_AC3_AUDIO);
-#define KSDATAFORMAT_SPECIFIER_AC3_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_AC3_AUDIO)
-
-#define STATIC_KSPROPSETID_AC3						\
-	0xBFABE720L,0x6E1F,0x11D0,0xBC,0xF2,0x44,0x45,0x53,0x54,0x00,0x00
-DEFINE_GUIDSTRUCT("BFABE720-6E1F-11D0-BCF2-444553540000",KSPROPSETID_AC3);
-#define KSPROPSETID_AC3 DEFINE_GUIDNAMED(KSPROPSETID_AC3)
-
-typedef enum {
-  KSPROPERTY_AC3_ERROR_CONCEALMENT = 1,
-  KSPROPERTY_AC3_ALTERNATE_AUDIO,
-  KSPROPERTY_AC3_DOWNMIX,
-  KSPROPERTY_AC3_BIT_STREAM_MODE,
-  KSPROPERTY_AC3_DIALOGUE_LEVEL,
-  KSPROPERTY_AC3_LANGUAGE_CODE,
-  KSPROPERTY_AC3_ROOM_TYPE
-} KSPROPERTY_AC3;
-
-typedef struct {
-  WINBOOL fRepeatPreviousBlock;
-  WINBOOL fErrorInCurrentBlock;
-} KSAC3_ERROR_CONCEALMENT,*PKSAC3_ERROR_CONCEALMENT;
-
-typedef struct {
-  WINBOOL fStereo;
-  ULONG DualMode;
-} KSAC3_ALTERNATE_AUDIO,*PKSAC3_ALTERNATE_AUDIO;
-
-#define KSAC3_ALTERNATE_AUDIO_1		1
-#define KSAC3_ALTERNATE_AUDIO_2		2
-#define KSAC3_ALTERNATE_AUDIO_BOTH	3
-
-typedef struct {
-  WINBOOL fDownMix;
-  WINBOOL fDolbySurround;
-} KSAC3_DOWNMIX,*PKSAC3_DOWNMIX;
-
-typedef struct {
-  LONG BitStreamMode;
-} KSAC3_BIT_STREAM_MODE,*PKSAC3_BIT_STREAM_MODE;
-
-#define KSAC3_SERVICE_MAIN_AUDIO	0
-#define KSAC3_SERVICE_NO_DIALOG		1
-#define KSAC3_SERVICE_VISUALLY_IMPAIRED	2
-#define KSAC3_SERVICE_HEARING_IMPAIRED	3
-#define KSAC3_SERVICE_DIALOG_ONLY	4
-#define KSAC3_SERVICE_COMMENTARY	5
-#define KSAC3_SERVICE_EMERGENCY_FLASH	6
-#define KSAC3_SERVICE_VOICE_OVER	7
-
-typedef struct {
-  ULONG DialogueLevel;
-} KSAC3_DIALOGUE_LEVEL,*PKSAC3_DIALOGUE_LEVEL;
-
-typedef struct {
-  WINBOOL fLargeRoom;
-} KSAC3_ROOM_TYPE,*PKSAC3_ROOM_TYPE;
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_DTS_AUDIO				\
-	0xe06d8033L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d8033-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SUBTYPE_DTS_AUDIO);
-#define KSDATAFORMAT_SUBTYPE_DTS_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_DTS_AUDIO)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_SDDS_AUDIO				\
-	0xe06d8034L,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d8034-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SUBTYPE_SDDS_AUDIO);
-#define KSDATAFORMAT_SUBTYPE_SDDS_AUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_SDDS_AUDIO)
-
-#define STATIC_KSPROPSETID_AudioDecoderOut				\
-	0x6ca6e020L,0x43bd,0x11d0,0xbd,0x6a,0x00,0x35,0x05,0xc1,0x03,0xa9
-DEFINE_GUIDSTRUCT("6ca6e020-43bd-11d0-bd6a-003505c103a9",KSPROPSETID_AudioDecoderOut);
-#define KSPROPSETID_AudioDecoderOut DEFINE_GUIDNAMED(KSPROPSETID_AudioDecoderOut)
-
-typedef enum {
-  KSPROPERTY_AUDDECOUT_MODES,
-  KSPROPERTY_AUDDECOUT_CUR_MODE
-} KSPROPERTY_AUDDECOUT;
-
-#define KSAUDDECOUTMODE_STEREO_ANALOG	0x0001
-#define KSAUDDECOUTMODE_PCM_51		0x0002
-#define KSAUDDECOUTMODE_SPDIFF		0x0004
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_SUBPICTURE				\
-	0xe06d802dL,0xdb46,0x11cf,0xb4,0xd1,0x00,0x80,0x5f,0x6c,0xbb,0xea
-DEFINE_GUIDSTRUCT("e06d802d-db46-11cf-b4d1-00805f6cbbea",KSDATAFORMAT_SUBTYPE_SUBPICTURE);
-#define KSDATAFORMAT_SUBTYPE_SUBPICTURE DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_SUBPICTURE)
-
-#define STATIC_KSPROPSETID_DvdSubPic					\
-	0xac390460L,0x43af,0x11d0,0xbd,0x6a,0x00,0x35,0x05,0xc1,0x03,0xa9
-DEFINE_GUIDSTRUCT("ac390460-43af-11d0-bd6a-003505c103a9",KSPROPSETID_DvdSubPic);
-#define KSPROPSETID_DvdSubPic DEFINE_GUIDNAMED(KSPROPSETID_DvdSubPic)
-
-typedef enum {
-  KSPROPERTY_DVDSUBPIC_PALETTE,
-  KSPROPERTY_DVDSUBPIC_HLI,
-  KSPROPERTY_DVDSUBPIC_COMPOSIT_ON
-} KSPROPERTY_DVDSUBPIC;
-
-typedef struct _KS_DVD_YCrCb {
-  UCHAR Reserved;
-  UCHAR Y;
-  UCHAR Cr;
-  UCHAR Cb;
-} KS_DVD_YCrCb,*PKS_DVD_YCrCb;
-
-typedef struct _KS_DVD_YUV {
-  UCHAR Reserved;
-  UCHAR Y;
-  UCHAR V;
-  UCHAR U;
-} KS_DVD_YUV,*PKS_DVD_YUV;
-
-typedef struct _KSPROPERTY_SPPAL {
-  KS_DVD_YUV sppal[16];
-} KSPROPERTY_SPPAL,*PKSPROPERTY_SPPAL;
-
-typedef struct _KS_COLCON {
-  UCHAR emph1col:4;
-  UCHAR emph2col:4;
-  UCHAR backcol:4;
-  UCHAR patcol:4;
-  UCHAR emph1con:4;
-  UCHAR emph2con:4;
-  UCHAR backcon:4;
-  UCHAR patcon:4;
-} KS_COLCON,*PKS_COLCON;
-
-typedef struct _KSPROPERTY_SPHLI {
-  USHORT HLISS;
-  USHORT Reserved;
-  ULONG StartPTM;
-  ULONG EndPTM;
-  USHORT StartX;
-  USHORT StartY;
-  USHORT StopX;
-  USHORT StopY;
-  KS_COLCON ColCon;
-} KSPROPERTY_SPHLI,*PKSPROPERTY_SPHLI;
-
-typedef WINBOOL KSPROPERTY_COMPOSIT_ON,*PKSPROPERTY_COMPOSIT_ON;
-
-#define STATIC_KSPROPSETID_CopyProt					\
-	0x0E8A0A40L,0x6AEF,0x11D0,0x9E,0xD0,0x00,0xA0,0x24,0xCA,0x19,0xB3
-DEFINE_GUIDSTRUCT("0E8A0A40-6AEF-11D0-9ED0-00A024CA19B3",KSPROPSETID_CopyProt);
-#define KSPROPSETID_CopyProt DEFINE_GUIDNAMED(KSPROPSETID_CopyProt)
-
-typedef enum {
-  KSPROPERTY_DVDCOPY_CHLG_KEY = 0x01,
-  KSPROPERTY_DVDCOPY_DVD_KEY1,
-  KSPROPERTY_DVDCOPY_DEC_KEY2,
-  KSPROPERTY_DVDCOPY_TITLE_KEY,
-  KSPROPERTY_COPY_MACROVISION,
-  KSPROPERTY_DVDCOPY_REGION,
-  KSPROPERTY_DVDCOPY_SET_COPY_STATE,
-  KSPROPERTY_DVDCOPY_DISC_KEY = 0x80
-} KSPROPERTY_COPYPROT;
-
-typedef struct _KS_DVDCOPY_CHLGKEY {
-  BYTE ChlgKey[10];
-  BYTE Reserved[2];
-} KS_DVDCOPY_CHLGKEY,*PKS_DVDCOPY_CHLGKEY;
-
-typedef struct _KS_DVDCOPY_BUSKEY {
-  BYTE BusKey[5];
-  BYTE Reserved[1];
-} KS_DVDCOPY_BUSKEY,*PKS_DVDCOPY_BUSKEY;
-
-typedef struct _KS_DVDCOPY_DISCKEY {
-  BYTE DiscKey[2048];
-} KS_DVDCOPY_DISCKEY,*PKS_DVDCOPY_DISCKEY;
-
-typedef struct _KS_DVDCOPY_REGION {
-  UCHAR Reserved;
-  UCHAR RegionData;
-  UCHAR Reserved2[2];
-} KS_DVDCOPY_REGION,*PKS_DVDCOPY_REGION;
-
-typedef struct _KS_DVDCOPY_TITLEKEY {
-  ULONG KeyFlags;
-  ULONG ReservedNT[2];
-  UCHAR TitleKey[6];
-  UCHAR Reserved[2];
-} KS_DVDCOPY_TITLEKEY,*PKS_DVDCOPY_TITLEKEY;
-
-typedef struct _KS_COPY_MACROVISION {
-  ULONG MACROVISIONLevel;
-} KS_COPY_MACROVISION,*PKS_COPY_MACROVISION;
-
-typedef struct _KS_DVDCOPY_SET_COPY_STATE {
-  ULONG DVDCopyState;
-} KS_DVDCOPY_SET_COPY_STATE,*PKS_DVDCOPY_SET_COPY_STATE;
-
-typedef enum {
-  KS_DVDCOPYSTATE_INITIALIZE,
-  KS_DVDCOPYSTATE_INITIALIZE_TITLE,
-  KS_DVDCOPYSTATE_AUTHENTICATION_NOT_REQUIRED,
-  KS_DVDCOPYSTATE_AUTHENTICATION_REQUIRED,
-  KS_DVDCOPYSTATE_DONE
-} KS_DVDCOPYSTATE;
-
-typedef enum {
-  KS_MACROVISION_DISABLED,
-  KS_MACROVISION_LEVEL1,
-  KS_MACROVISION_LEVEL2,
-  KS_MACROVISION_LEVEL3
-} KS_COPY_MACROVISION_LEVEL,*PKS_COPY_MACROVISION_LEVEL;
-
-#define KS_DVD_CGMS_RESERVED_MASK	0x00000078
-
-#define KS_DVD_CGMS_COPY_PROTECT_MASK	0x00000018
-#define KS_DVD_CGMS_COPY_PERMITTED	0x00000000
-#define KS_DVD_CGMS_COPY_ONCE		0x00000010
-#define KS_DVD_CGMS_NO_COPY		0x00000018
-
-#define KS_DVD_COPYRIGHT_MASK		0x00000040
-#define KS_DVD_NOT_COPYRIGHTED		0x00000000
-#define KS_DVD_COPYRIGHTED		0x00000040
-
-#define KS_DVD_SECTOR_PROTECT_MASK	0x00000020
-#define KS_DVD_SECTOR_NOT_PROTECTED	0x00000000
-#define KS_DVD_SECTOR_PROTECTED		0x00000020
-
-#define STATIC_KSCATEGORY_TVTUNER					\
-	0xa799a800L,0xa46d,0x11d0,0xa1,0x8c,0x00,0xa0,0x24,0x01,0xdc,0xd4
-DEFINE_GUIDSTRUCT("a799a800-a46d-11d0-a18c-00a02401dcd4",KSCATEGORY_TVTUNER);
-#define KSCATEGORY_TVTUNER DEFINE_GUIDNAMED(KSCATEGORY_TVTUNER)
-
-#define STATIC_KSCATEGORY_CROSSBAR					\
-	0xa799a801L,0xa46d,0x11d0,0xa1,0x8c,0x00,0xa0,0x24,0x01,0xdc,0xd4
-DEFINE_GUIDSTRUCT("a799a801-a46d-11d0-a18c-00a02401dcd4",KSCATEGORY_CROSSBAR);
-#define KSCATEGORY_CROSSBAR DEFINE_GUIDNAMED(KSCATEGORY_CROSSBAR)
-
-#define STATIC_KSCATEGORY_TVAUDIO					\
-	0xa799a802L,0xa46d,0x11d0,0xa1,0x8c,0x00,0xa0,0x24,0x01,0xdc,0xd4
-DEFINE_GUIDSTRUCT("a799a802-a46d-11d0-a18c-00a02401dcd4",KSCATEGORY_TVAUDIO);
-#define KSCATEGORY_TVAUDIO DEFINE_GUIDNAMED(KSCATEGORY_TVAUDIO)
-
-#define STATIC_KSCATEGORY_VPMUX						\
-	0xa799a803L,0xa46d,0x11d0,0xa1,0x8c,0x00,0xa0,0x24,0x01,0xdc,0xd4
-DEFINE_GUIDSTRUCT("a799a803-a46d-11d0-a18c-00a02401dcd4",KSCATEGORY_VPMUX);
-#define KSCATEGORY_VPMUX DEFINE_GUIDNAMED(KSCATEGORY_VPMUX)
-
-#define STATIC_KSCATEGORY_VBICODEC					\
-	0x07dad660L,0x22f1,0x11d1,0xa9,0xf4,0x00,0xc0,0x4f,0xbb,0xde,0x8f
-DEFINE_GUIDSTRUCT("07dad660-22f1-11d1-a9f4-00c04fbbde8f",KSCATEGORY_VBICODEC);
-#define KSCATEGORY_VBICODEC DEFINE_GUIDNAMED(KSCATEGORY_VBICODEC)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_VPVideo				\
-	0x5a9b6a40L,0x1a22,0x11d1,0xba,0xd9,0x0,0x60,0x97,0x44,0x11,0x1a
-DEFINE_GUIDSTRUCT("5a9b6a40-1a22-11d1-bad9-00609744111a",KSDATAFORMAT_SUBTYPE_VPVideo);
-#define KSDATAFORMAT_SUBTYPE_VPVideo DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_VPVideo)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_VPVBI				\
-	0x5a9b6a41L,0x1a22,0x11d1,0xba,0xd9,0x0,0x60,0x97,0x44,0x11,0x1a
-DEFINE_GUIDSTRUCT("5a9b6a41-1a22-11d1-bad9-00609744111a",KSDATAFORMAT_SUBTYPE_VPVBI);
-#define KSDATAFORMAT_SUBTYPE_VPVBI DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_VPVBI)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_VIDEOINFO				\
-	0x05589f80L,0xc356,0x11ce,0xbf,0x01,0x00,0xaa,0x00,0x55,0x59,0x5a
-DEFINE_GUIDSTRUCT("05589f80-c356-11ce-bf01-00aa0055595a",KSDATAFORMAT_SPECIFIER_VIDEOINFO);
-#define KSDATAFORMAT_SPECIFIER_VIDEOINFO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_VIDEOINFO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_VIDEOINFO2			\
-	0xf72a76A0L,0xeb0a,0x11d0,0xac,0xe4,0x00,0x00,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("f72a76A0-eb0a-11d0-ace4-0000c0cc16ba",KSDATAFORMAT_SPECIFIER_VIDEOINFO2);
-#define KSDATAFORMAT_SPECIFIER_VIDEOINFO2 DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_VIDEOINFO2)
-
-#define STATIC_KSDATAFORMAT_TYPE_ANALOGVIDEO				\
-	0x0482dde1L,0x7817,0x11cf,0x8a,0x03,0x00,0xaa,0x00,0x6e,0xcb,0x65
-DEFINE_GUIDSTRUCT("0482dde1-7817-11cf-8a03-00aa006ecb65",KSDATAFORMAT_TYPE_ANALOGVIDEO);
-#define KSDATAFORMAT_TYPE_ANALOGVIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_ANALOGVIDEO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_ANALOGVIDEO			\
-	0x0482dde0L,0x7817,0x11cf,0x8a,0x03,0x00,0xaa,0x00,0x6e,0xcb,0x65
-DEFINE_GUIDSTRUCT("0482dde0-7817-11cf-8a03-00aa006ecb65",KSDATAFORMAT_SPECIFIER_ANALOGVIDEO);
-#define KSDATAFORMAT_SPECIFIER_ANALOGVIDEO DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_ANALOGVIDEO)
-
-#define STATIC_KSDATAFORMAT_TYPE_ANALOGAUDIO				\
-	0x0482dee1L,0x7817,0x11cf,0x8a,0x03,0x00,0xaa,0x00,0x6e,0xcb,0x65
-DEFINE_GUIDSTRUCT("0482DEE1-7817-11cf-8a03-00aa006ecb65",KSDATAFORMAT_TYPE_ANALOGAUDIO);
-#define KSDATAFORMAT_TYPE_ANALOGAUDIO DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_ANALOGAUDIO)
-
-#define STATIC_KSDATAFORMAT_SPECIFIER_VBI				\
-	0xf72a76e0L,0xeb0a,0x11d0,0xac,0xe4,0x00,0x00,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("f72a76e0-eb0a-11d0-ace4-0000c0cc16ba",KSDATAFORMAT_SPECIFIER_VBI);
-#define KSDATAFORMAT_SPECIFIER_VBI DEFINE_GUIDNAMED(KSDATAFORMAT_SPECIFIER_VBI)
-
-#define STATIC_KSDATAFORMAT_TYPE_VBI					\
-	0xf72a76e1L,0xeb0a,0x11d0,0xac,0xe4,0x00,0x00,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("f72a76e1-eb0a-11d0-ace4-0000c0cc16ba",KSDATAFORMAT_TYPE_VBI);
-#define KSDATAFORMAT_TYPE_VBI DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_VBI)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_RAW8				\
-	0xca20d9a0,0x3e3e,0x11d1,0x9b,0xf9,0x0,0xc0,0x4f,0xbb,0xde,0xbf
-DEFINE_GUIDSTRUCT("ca20d9a0-3e3e-11d1-9bf9-00c04fbbdebf",KSDATAFORMAT_SUBTYPE_RAW8);
-#define KSDATAFORMAT_SUBTYPE_RAW8 DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_RAW8)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_CC					\
-	0x33214cc1,0x11f,0x11d2,0xb4,0xb1,0x0,0xa0,0xd1,0x2,0xcf,0xbe
-DEFINE_GUIDSTRUCT("33214CC1-011F-11D2-B4B1-00A0D102CFBE",KSDATAFORMAT_SUBTYPE_CC);
-#define KSDATAFORMAT_SUBTYPE_CC DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_CC)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_NABTS				\
-	0xf72a76e2L,0xeb0a,0x11d0,0xac,0xe4,0x00,0x00,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("f72a76e2-eb0a-11d0-ace4-0000c0cc16ba",KSDATAFORMAT_SUBTYPE_NABTS);
-#define KSDATAFORMAT_SUBTYPE_NABTS DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_NABTS)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_TELETEXT				\
-	0xf72a76e3L,0xeb0a,0x11d0,0xac,0xe4,0x00,0x00,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("f72a76e3-eb0a-11d0-ace4-0000c0cc16ba",KSDATAFORMAT_SUBTYPE_TELETEXT);
-#define KSDATAFORMAT_SUBTYPE_TELETEXT DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_TELETEXT)
-
-#define KS_BI_RGB		0L
-#define KS_BI_RLE8		1L
-#define KS_BI_RLE4		2L
-#define KS_BI_BITFIELDS		3L
-
-typedef struct tagKS_RGBQUAD {
-  BYTE rgbBlue;
-  BYTE rgbGreen;
-  BYTE rgbRed;
-  BYTE rgbReserved;
-} KS_RGBQUAD,*PKS_RGBQUAD;
-
-#define KS_iPALETTE_COLORS	256
-#define KS_iEGA_COLORS		16
-#define KS_iMASK_COLORS		3
-#define KS_iTRUECOLOR		16
-#define KS_iRED			0
-#define KS_iGREEN		1
-#define KS_iBLUE		2
-#define KS_iPALETTE		8
-#define KS_iMAXBITS		8
-#define KS_SIZE_EGA_PALETTE	(KS_iEGA_COLORS *sizeof(KS_RGBQUAD))
-#define KS_SIZE_PALETTE		(KS_iPALETTE_COLORS *sizeof(KS_RGBQUAD))
-
-typedef struct tagKS_BITMAPINFOHEADER {
-  DWORD biSize;
-  LONG biWidth;
-  LONG biHeight;
-  WORD biPlanes;
-  WORD biBitCount;
-  DWORD biCompression;
-  DWORD biSizeImage;
-  LONG biXPelsPerMeter;
-  LONG biYPelsPerMeter;
-  DWORD biClrUsed;
-  DWORD biClrImportant;
-} KS_BITMAPINFOHEADER,*PKS_BITMAPINFOHEADER;
-
-typedef struct tag_KS_TRUECOLORINFO {
-  DWORD dwBitMasks[KS_iMASK_COLORS];
-  KS_RGBQUAD bmiColors[KS_iPALETTE_COLORS];
-} KS_TRUECOLORINFO,*PKS_TRUECOLORINFO;
-
-#define KS_WIDTHBYTES(bits)	((DWORD)(((bits)+31) & (~31)) / 8)
-#define KS_DIBWIDTHBYTES(bi)	(DWORD)KS_WIDTHBYTES((DWORD)(bi).biWidth *(DWORD)(bi).biBitCount)
-#define KS__DIBSIZE(bi)		(KS_DIBWIDTHBYTES(bi) *(DWORD)(bi).biHeight)
-#define KS_DIBSIZE(bi)		((bi).biHeight < 0 ? (-1)*(KS__DIBSIZE(bi)) : KS__DIBSIZE(bi))
-
-typedef LONGLONG REFERENCE_TIME;
-
-typedef struct tagKS_VIDEOINFOHEADER {
-  RECT rcSource;
-  RECT rcTarget;
-  DWORD dwBitRate;
-  DWORD dwBitErrorRate;
-  REFERENCE_TIME AvgTimePerFrame;
-  KS_BITMAPINFOHEADER bmiHeader;
-} KS_VIDEOINFOHEADER,*PKS_VIDEOINFOHEADER;
-
-typedef struct tagKS_VIDEOINFO {
-  RECT rcSource;
-  RECT rcTarget;
-  DWORD dwBitRate;
-  DWORD dwBitErrorRate;
-  REFERENCE_TIME AvgTimePerFrame;
-  KS_BITMAPINFOHEADER bmiHeader;
-  __MINGW_EXTENSION union {
-    KS_RGBQUAD bmiColors[KS_iPALETTE_COLORS];
-    DWORD dwBitMasks[KS_iMASK_COLORS];
-    KS_TRUECOLORINFO TrueColorInfo;
-  };
-} KS_VIDEOINFO,*PKS_VIDEOINFO;
-
-#define KS_SIZE_MASKS			(KS_iMASK_COLORS *sizeof(DWORD))
-#define KS_SIZE_PREHEADER		(FIELD_OFFSET(KS_VIDEOINFOHEADER,bmiHeader))
-
-#define KS_SIZE_VIDEOHEADER(pbmi)	((pbmi)->bmiHeader.biSize + KS_SIZE_PREHEADER)
-
-typedef struct tagKS_VBIINFOHEADER {
-  ULONG StartLine;
-  ULONG EndLine;
-  ULONG SamplingFrequency;
-  ULONG MinLineStartTime;
-  ULONG MaxLineStartTime;
-  ULONG ActualLineStartTime;
-  ULONG ActualLineEndTime;
-  ULONG VideoStandard;
-  ULONG SamplesPerLine;
-  ULONG StrideInBytes;
-  ULONG BufferSize;
-} KS_VBIINFOHEADER,*PKS_VBIINFOHEADER;
-
-#define KS_VBIDATARATE_NABTS		(5727272L)
-#define KS_VBIDATARATE_CC		(503493L)
-#define KS_VBISAMPLINGRATE_4X_NABTS	((long)(4*KS_VBIDATARATE_NABTS))
-#define KS_VBISAMPLINGRATE_47X_NABTS	((long)(27000000))
-#define KS_VBISAMPLINGRATE_5X_NABTS	((long)(5*KS_VBIDATARATE_NABTS))
-
-#define KS_47NABTS_SCALER		(KS_VBISAMPLINGRATE_47X_NABTS/(double)KS_VBIDATARATE_NABTS)
-
-typedef struct tagKS_AnalogVideoInfo {
-  RECT rcSource;
-  RECT rcTarget;
-  DWORD dwActiveWidth;
-  DWORD dwActiveHeight;
-  REFERENCE_TIME AvgTimePerFrame;
-} KS_ANALOGVIDEOINFO,*PKS_ANALOGVIDEOINFO;
-
-#define KS_TVTUNER_CHANGE_BEGIN_TUNE	0x0001L
-#define KS_TVTUNER_CHANGE_END_TUNE	0x0002L
-
-typedef struct tagKS_TVTUNER_CHANGE_INFO {
-  DWORD dwFlags;
-  DWORD dwCountryCode;
-  DWORD dwAnalogVideoStandard;
-  DWORD dwChannel;
-} KS_TVTUNER_CHANGE_INFO,*PKS_TVTUNER_CHANGE_INFO;
-
-typedef enum {
-  KS_MPEG2Level_Low,
-  KS_MPEG2Level_Main,
-  KS_MPEG2Level_High1440,
-  KS_MPEG2Level_High
-} KS_MPEG2Level;
-
-typedef enum {
-  KS_MPEG2Profile_Simple,
-  KS_MPEG2Profile_Main,
-  KS_MPEG2Profile_SNRScalable,
-  KS_MPEG2Profile_SpatiallyScalable,
-  KS_MPEG2Profile_High
-} KS_MPEG2Profile;
-
-#define KS_INTERLACE_IsInterlaced		0x00000001
-#define KS_INTERLACE_1FieldPerSample		0x00000002
-#define KS_INTERLACE_Field1First		0x00000004
-#define KS_INTERLACE_UNUSED			0x00000008
-#define KS_INTERLACE_FieldPatternMask		0x00000030
-#define KS_INTERLACE_FieldPatField1Only		0x00000000
-#define KS_INTERLACE_FieldPatField2Only		0x00000010
-#define KS_INTERLACE_FieldPatBothRegular	0x00000020
-#define KS_INTERLACE_FieldPatBothIrregular	0x00000030
-#define KS_INTERLACE_DisplayModeMask		0x000000c0
-#define KS_INTERLACE_DisplayModeBobOnly		0x00000000
-#define KS_INTERLACE_DisplayModeWeaveOnly	0x00000040
-#define KS_INTERLACE_DisplayModeBobOrWeave	0x00000080
-
-#define KS_MPEG2_DoPanScan			0x00000001
-#define KS_MPEG2_DVDLine21Field1		0x00000002
-#define KS_MPEG2_DVDLine21Field2		0x00000004
-#define KS_MPEG2_SourceIsLetterboxed		0x00000008
-#define KS_MPEG2_FilmCameraMode			0x00000010
-#define KS_MPEG2_LetterboxAnalogOut		0x00000020
-#define KS_MPEG2_DSS_UserData			0x00000040
-#define KS_MPEG2_DVB_UserData			0x00000080
-#define KS_MPEG2_27MhzTimebase			0x00000100
-
-typedef struct tagKS_VIDEOINFOHEADER2 {
-  RECT rcSource;
-  RECT rcTarget;
-  DWORD dwBitRate;
-  DWORD dwBitErrorRate;
-  REFERENCE_TIME AvgTimePerFrame;
-  DWORD dwInterlaceFlags;
-  DWORD dwCopyProtectFlags;
-  DWORD dwPictAspectRatioX;
-  DWORD dwPictAspectRatioY;
-  DWORD dwReserved1;
-  DWORD dwReserved2;
-  KS_BITMAPINFOHEADER bmiHeader;
-} KS_VIDEOINFOHEADER2,*PKS_VIDEOINFOHEADER2;
-
-typedef struct tagKS_MPEG1VIDEOINFO {
-  KS_VIDEOINFOHEADER hdr;
-  DWORD dwStartTimeCode;
-  DWORD cbSequenceHeader;
-  BYTE bSequenceHeader[1];
-} KS_MPEG1VIDEOINFO,*PKS_MPEG1VIDEOINFO;
-
-#define KS_MAX_SIZE_MPEG1_SEQUENCE_INFO	140
-#define KS_SIZE_MPEG1VIDEOINFO(pv)	(FIELD_OFFSET(KS_MPEG1VIDEOINFO,bSequenceHeader[0]) + (pv)->cbSequenceHeader)
-#define KS_MPEG1_SEQUENCE_INFO(pv)	((const BYTE *)(pv)->bSequenceHeader)
-
-typedef struct tagKS_MPEGVIDEOINFO2 {
-  KS_VIDEOINFOHEADER2 hdr;
-  DWORD dwStartTimeCode;
-  DWORD cbSequenceHeader;
-  DWORD dwProfile;
-  DWORD dwLevel;
-  DWORD dwFlags;
-  DWORD bSequenceHeader[1];
-} KS_MPEGVIDEOINFO2,*PKS_MPEGVIDEOINFO2;
-
-#define KS_SIZE_MPEGVIDEOINFO2(pv)	(FIELD_OFFSET(KS_MPEGVIDEOINFO2,bSequenceHeader[0]) + (pv)->cbSequenceHeader)
-#define KS_MPEG1_SEQUENCE_INFO(pv)	((const BYTE *)(pv)->bSequenceHeader)
-
-#define KS_MPEGAUDIOINFO_27MhzTimebase	0x00000001
-
-typedef struct tagKS_MPEAUDIOINFO {
-  DWORD dwFlags;
-  DWORD dwReserved1;
-  DWORD dwReserved2;
-  DWORD dwReserved3;
-} KS_MPEGAUDIOINFO,*PKS_MPEGAUDIOINFO;
-
-typedef struct tagKS_DATAFORMAT_VIDEOINFOHEADER {
-  KSDATAFORMAT DataFormat;
-  KS_VIDEOINFOHEADER VideoInfoHeader;
-} KS_DATAFORMAT_VIDEOINFOHEADER,*PKS_DATAFORMAT_VIDEOINFOHEADER;
-
-typedef struct tagKS_DATAFORMAT_VIDEOINFOHEADER2 {
-  KSDATAFORMAT DataFormat;
-  KS_VIDEOINFOHEADER2 VideoInfoHeader2;
-} KS_DATAFORMAT_VIDEOINFOHEADER2,*PKS_DATAFORMAT_VIDEOINFOHEADER2;
-
-typedef struct tagKS_DATAFORMAT_VIDEOINFO_PALETTE {
-  KSDATAFORMAT DataFormat;
-  KS_VIDEOINFO VideoInfo;
-} KS_DATAFORMAT_VIDEOINFO_PALETTE,*PKS_DATAFORMAT_VIDEOINFO_PALETTE;
-
-typedef struct tagKS_DATAFORMAT_VBIINFOHEADER {
-  KSDATAFORMAT DataFormat;
-  KS_VBIINFOHEADER VBIInfoHeader;
-} KS_DATAFORMAT_VBIINFOHEADER,*PKS_DATAFORMAT_VBIINFOHEADER;
-
-typedef struct _KS_VIDEO_STREAM_CONFIG_CAPS {
-  GUID guid;
-  ULONG VideoStandard;
-  SIZE InputSize;
-  SIZE MinCroppingSize;
-  SIZE MaxCroppingSize;
-  int CropGranularityX;
-  int CropGranularityY;
-  int CropAlignX;
-  int CropAlignY;
-  SIZE MinOutputSize;
-  SIZE MaxOutputSize;
-  int OutputGranularityX;
-  int OutputGranularityY;
-  int StretchTapsX;
-  int StretchTapsY;
-  int ShrinkTapsX;
-  int ShrinkTapsY;
-  LONGLONG MinFrameInterval;
-  LONGLONG MaxFrameInterval;
-  LONG MinBitsPerSecond;
-  LONG MaxBitsPerSecond;
-} KS_VIDEO_STREAM_CONFIG_CAPS,*PKS_VIDEO_STREAM_CONFIG_CAPS;
-
-typedef struct tagKS_DATARANGE_VIDEO {
-  KSDATARANGE DataRange;
-  WINBOOL bFixedSizeSamples;
-  WINBOOL bTemporalCompression;
-  DWORD StreamDescriptionFlags;
-  DWORD MemoryAllocationFlags;
-  KS_VIDEO_STREAM_CONFIG_CAPS ConfigCaps;
-  KS_VIDEOINFOHEADER VideoInfoHeader;
-} KS_DATARANGE_VIDEO,*PKS_DATARANGE_VIDEO;
-
-typedef struct tagKS_DATARANGE_VIDEO2 {
-  KSDATARANGE DataRange;
-  WINBOOL bFixedSizeSamples;
-  WINBOOL bTemporalCompression;
-  DWORD StreamDescriptionFlags;
-  DWORD MemoryAllocationFlags;
-  KS_VIDEO_STREAM_CONFIG_CAPS ConfigCaps;
-  KS_VIDEOINFOHEADER2 VideoInfoHeader;
-} KS_DATARANGE_VIDEO2,*PKS_DATARANGE_VIDEO2;
-
-typedef struct tagKS_DATARANGE_MPEG1_VIDEO {
-  KSDATARANGE DataRange;
-  WINBOOL bFixedSizeSamples;
-  WINBOOL bTemporalCompression;
-  DWORD StreamDescriptionFlags;
-  DWORD MemoryAllocationFlags;
-  KS_VIDEO_STREAM_CONFIG_CAPS ConfigCaps;
-  KS_MPEG1VIDEOINFO VideoInfoHeader;
-} KS_DATARANGE_MPEG1_VIDEO,*PKS_DATARANGE_MPEG1_VIDEO;
-
-typedef struct tagKS_DATARANGE_MPEG2_VIDEO {
-  KSDATARANGE DataRange;
-  WINBOOL bFixedSizeSamples;
-  WINBOOL bTemporalCompression;
-  DWORD StreamDescriptionFlags;
-  DWORD MemoryAllocationFlags;
-  KS_VIDEO_STREAM_CONFIG_CAPS ConfigCaps;
-  KS_MPEGVIDEOINFO2 VideoInfoHeader;
-} KS_DATARANGE_MPEG2_VIDEO,*PKS_DATARANGE_MPEG2_VIDEO;
-
-typedef struct tagKS_DATARANGE_VIDEO_PALETTE {
-  KSDATARANGE DataRange;
-  WINBOOL bFixedSizeSamples;
-  WINBOOL bTemporalCompression;
-  DWORD StreamDescriptionFlags;
-  DWORD MemoryAllocationFlags;
-  KS_VIDEO_STREAM_CONFIG_CAPS ConfigCaps;
-  KS_VIDEOINFO VideoInfo;
-} KS_DATARANGE_VIDEO_PALETTE,*PKS_DATARANGE_VIDEO_PALETTE;
-
-typedef struct tagKS_DATARANGE_VIDEO_VBI {
-  KSDATARANGE DataRange;
-  WINBOOL bFixedSizeSamples;
-  WINBOOL bTemporalCompression;
-  DWORD StreamDescriptionFlags;
-  DWORD MemoryAllocationFlags;
-  KS_VIDEO_STREAM_CONFIG_CAPS ConfigCaps;
-  KS_VBIINFOHEADER VBIInfoHeader;
-} KS_DATARANGE_VIDEO_VBI,*PKS_DATARANGE_VIDEO_VBI;
-
-typedef struct tagKS_DATARANGE_ANALOGVIDEO {
-  KSDATARANGE DataRange;
-  KS_ANALOGVIDEOINFO AnalogVideoInfo;
-} KS_DATARANGE_ANALOGVIDEO,*PKS_DATARANGE_ANALOGVIDEO;
-
-#define KS_VIDEOSTREAM_PREVIEW		0x0001
-#define KS_VIDEOSTREAM_CAPTURE		0x0002
-#define KS_VIDEOSTREAM_VBI		0x0010
-#define KS_VIDEOSTREAM_NABTS		0x0020
-#define KS_VIDEOSTREAM_CC		0x0100
-#define KS_VIDEOSTREAM_EDS		0x0200
-#define KS_VIDEOSTREAM_TELETEXT		0x0400
-#define KS_VIDEOSTREAM_STILL		0x1000
-#define KS_VIDEOSTREAM_IS_VPE		0x8000
-
-#define KS_VIDEO_ALLOC_VPE_SYSTEM	0x0001
-#define KS_VIDEO_ALLOC_VPE_DISPLAY	0x0002
-#define KS_VIDEO_ALLOC_VPE_AGP		0x0004
-
-#define STATIC_KSPROPSETID_VBICAP_PROPERTIES				\
-	0xf162c607,0x7b35,0x496f,0xad,0x7f,0x2d,0xca,0x3b,0x46,0xb7,0x18
-DEFINE_GUIDSTRUCT("F162C607-7B35-496f-AD7F-2DCA3B46B718",KSPROPSETID_VBICAP_PROPERTIES);
-#define KSPROPSETID_VBICAP_PROPERTIES DEFINE_GUIDNAMED(KSPROPSETID_VBICAP_PROPERTIES)
-
-typedef enum {
-  KSPROPERTY_VBICAP_PROPERTIES_PROTECTION = 0x01
-} KSPROPERTY_VBICAP;
-
-typedef struct _VBICAP_PROPERTIES_PROTECTION_S {
-  KSPROPERTY Property;
-  ULONG StreamIndex;
-  ULONG Status;
-} VBICAP_PROPERTIES_PROTECTION_S,*PVBICAP_PROPERTIES_PROTECTION_S;
-
-#define KS_VBICAP_PROTECTION_MV_PRESENT				0x0001L
-#define KS_VBICAP_PROTECTION_MV_HARDWARE			0x0002L
-#define KS_VBICAP_PROTECTION_MV_DETECTED			0x0004L
-
-#define KS_NABTS_GROUPID_ORIGINAL_CONTENT_BASE			0x800
-#define KS_NABTS_GROUPID_ORIGINAL_CONTENT_ADVERTISER_BASE	0x810
-
-#define KS_NABTS_GROUPID_PRODUCTION_COMPANY_CONTENT_BASE	0x820
-#define KS_NABTS_GROUPID_PRODUCTION_COMPANY_ADVERTISER_BASE	0x830
-
-#define KS_NABTS_GROUPID_SYNDICATED_SHOW_CONTENT_BASE		0x840
-#define KS_NABTS_GROUPID_SYNDICATED_SHOW_ADVERTISER_BASE	0x850
-
-#define KS_NABTS_GROUPID_NETWORK_WIDE_CONTENT_BASE		0x860
-#define KS_NABTS_GROUPID_NETWORK_WIDE_ADVERTISER_BASE		0x870
-
-#define KS_NABTS_GROUPID_TELEVISION_STATION_CONTENT_BASE	0x880
-#define KS_NABTS_GROUPID_TELEVISION_STATION_ADVERTISER_BASE	0x890
-
-#define KS_NABTS_GROUPID_LOCAL_CABLE_SYSTEM_CONTENT_BASE	0x8A0
-#define KS_NABTS_GROUPID_LOCAL_CABLE_SYSTEM_ADVERTISER_BASE	0x8B0
-
-#define KS_NABTS_GROUPID_MICROSOFT_RESERVED_TEST_DATA_BASE	0x8F0
-
-#define STATIC_KSDATAFORMAT_TYPE_NABTS					\
-	0xe757bca0,0x39ac,0x11d1,0xa9,0xf5,0x0,0xc0,0x4f,0xbb,0xde,0x8f
-DEFINE_GUIDSTRUCT("E757BCA0-39AC-11d1-A9F5-00C04FBBDE8F",KSDATAFORMAT_TYPE_NABTS);
-#define KSDATAFORMAT_TYPE_NABTS DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_NABTS)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_NABTS_FEC				\
-	0xe757bca1,0x39ac,0x11d1,0xa9,0xf5,0x0,0xc0,0x4f,0xbb,0xde,0x8f
-DEFINE_GUIDSTRUCT("E757BCA1-39AC-11d1-A9F5-00C04FBBDE8F",KSDATAFORMAT_SUBTYPE_NABTS_FEC);
-#define KSDATAFORMAT_SUBTYPE_NABTS_FEC DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_NABTS_FEC)
-
-#define MAX_NABTS_VBI_LINES_PER_FIELD	11
-#define NABTS_LINES_PER_BUNDLE		16
-#define NABTS_PAYLOAD_PER_LINE		28
-#define NABTS_BYTES_PER_LINE		36
-
-typedef struct _NABTSFEC_BUFFER {
-  ULONG dataSize;
-  USHORT groupID;
-  USHORT Reserved;
-  UCHAR data[NABTS_LINES_PER_BUNDLE *NABTS_PAYLOAD_PER_LINE];
-} NABTSFEC_BUFFER,*PNABTSFEC_BUFFER;
-
-#define STATIC_KSPROPSETID_VBICodecFiltering				\
-	0xcafeb0caL,0x8715,0x11d0,0xbd,0x6a,0x00,0x35,0xc0,0xed,0xba,0xbe
-DEFINE_GUIDSTRUCT("cafeb0ca-8715-11d0-bd6a-0035c0edbabe",KSPROPSETID_VBICodecFiltering);
-#define KSPROPSETID_VBICodecFiltering DEFINE_GUIDNAMED(KSPROPSETID_VBICodecFiltering)
-
-typedef enum {
-  KSPROPERTY_VBICODECFILTERING_SCANLINES_REQUESTED_BIT_ARRAY = 0x01,
-  KSPROPERTY_VBICODECFILTERING_SCANLINES_DISCOVERED_BIT_ARRAY,
-  KSPROPERTY_VBICODECFILTERING_SUBSTREAMS_REQUESTED_BIT_ARRAY,
-  KSPROPERTY_VBICODECFILTERING_SUBSTREAMS_DISCOVERED_BIT_ARRAY,
-  KSPROPERTY_VBICODECFILTERING_STATISTICS
-} KSPROPERTY_VBICODECFILTERING;
-
-typedef struct _VBICODECFILTERING_SCANLINES {
-  DWORD DwordBitArray[32];
-} VBICODECFILTERING_SCANLINES,*PVBICODECFILTERING_SCANLINES;
-
-typedef struct _VBICODECFILTERING_NABTS_SUBSTREAMS {
-  DWORD SubstreamMask[128];
-} VBICODECFILTERING_NABTS_SUBSTREAMS,*PVBICODECFILTERING_NABTS_SUBSTREAMS;
-
-typedef struct _VBICODECFILTERING_CC_SUBSTREAMS {
-  DWORD SubstreamMask;
-} VBICODECFILTERING_CC_SUBSTREAMS,*PVBICODECFILTERING_CC_SUBSTREAMS;
-
-#define KS_CC_SUBSTREAM_ODD		0x0001L
-#define KS_CC_SUBSTREAM_EVEN		0x0002L
-
-#define KS_CC_SUBSTREAM_FIELD1_MASK	0x00F0L
-#define KS_CC_SUBSTREAM_SERVICE_CC1	0x0010L
-#define KS_CC_SUBSTREAM_SERVICE_CC2	0x0020L
-#define KS_CC_SUBSTREAM_SERVICE_T1	0x0040L
-#define KS_CC_SUBSTREAM_SERVICE_T2	0x0080L
-
-#define KS_CC_SUBSTREAM_FIELD2_MASK	0x1F00L
-#define KS_CC_SUBSTREAM_SERVICE_CC3	0x0100L
-#define KS_CC_SUBSTREAM_SERVICE_CC4	0x0200L
-#define KS_CC_SUBSTREAM_SERVICE_T3	0x0400L
-#define KS_CC_SUBSTREAM_SERVICE_T4	0x0800L
-#define KS_CC_SUBSTREAM_SERVICE_XDS	0x1000L
-
-#define CC_MAX_HW_DECODE_LINES		12
-typedef struct _CC_BYTE_PAIR {
-  BYTE Decoded[2];
-  USHORT Reserved;
-} CC_BYTE_PAIR,*PCC_BYTE_PAIR;
-
-typedef struct _CC_HW_FIELD {
-  VBICODECFILTERING_SCANLINES ScanlinesRequested;
-  ULONG fieldFlags;
-  LONGLONG PictureNumber;
-  CC_BYTE_PAIR Lines[CC_MAX_HW_DECODE_LINES];
-} CC_HW_FIELD,*PCC_HW_FIELD;
-
-#ifndef PACK_PRAGMAS_NOT_SUPPORTED
-#include <pshpack1.h>
-#endif
-typedef struct _NABTS_BUFFER_LINE {
-  BYTE Confidence;
-  BYTE Bytes[NABTS_BYTES_PER_LINE];
-} NABTS_BUFFER_LINE,*PNABTS_BUFFER_LINE;
-
-#define NABTS_BUFFER_PICTURENUMBER_SUPPORT	1
-typedef struct _NABTS_BUFFER {
-  VBICODECFILTERING_SCANLINES ScanlinesRequested;
-  LONGLONG PictureNumber;
-  NABTS_BUFFER_LINE NabtsLines[MAX_NABTS_VBI_LINES_PER_FIELD];
-} NABTS_BUFFER,*PNABTS_BUFFER;
-#ifndef PACK_PRAGMAS_NOT_SUPPORTED
-#include <poppack.h>
-#endif
-
-#define WST_TVTUNER_CHANGE_BEGIN_TUNE	0x1000L
-#define WST_TVTUNER_CHANGE_END_TUNE	0x2000L
-
-#define MAX_WST_VBI_LINES_PER_FIELD	17
-#define WST_BYTES_PER_LINE		42
-
-typedef struct _WST_BUFFER_LINE {
-  BYTE Confidence;
-  BYTE Bytes[WST_BYTES_PER_LINE];
-} WST_BUFFER_LINE,*PWST_BUFFER_LINE;
-
-typedef struct _WST_BUFFER {
-  VBICODECFILTERING_SCANLINES ScanlinesRequested;
-  WST_BUFFER_LINE WstLines[MAX_WST_VBI_LINES_PER_FIELD];
-} WST_BUFFER,*PWST_BUFFER;
-
-typedef struct _VBICODECFILTERING_STATISTICS_COMMON {
-  DWORD InputSRBsProcessed;
-  DWORD OutputSRBsProcessed;
-  DWORD SRBsIgnored;
-  DWORD InputSRBsMissing;
-  DWORD OutputSRBsMissing;
-  DWORD OutputFailures;
-  DWORD InternalErrors;
-  DWORD ExternalErrors;
-  DWORD InputDiscontinuities;
-  DWORD DSPFailures;
-  DWORD TvTunerChanges;
-  DWORD VBIHeaderChanges;
-  DWORD LineConfidenceAvg;
-  DWORD BytesOutput;
-} VBICODECFILTERING_STATISTICS_COMMON,*PVBICODECFILTERING_STATISTICS_COMMON;
-
-typedef struct _VBICODECFILTERING_STATISTICS_COMMON_PIN {
-  DWORD SRBsProcessed;
-  DWORD SRBsIgnored;
-  DWORD SRBsMissing;
-  DWORD InternalErrors;
-  DWORD ExternalErrors;
-  DWORD Discontinuities;
-  DWORD LineConfidenceAvg;
-  DWORD BytesOutput;
-} VBICODECFILTERING_STATISTICS_COMMON_PIN,*PVBICODECFILTERING_STATISTICS_COMMON_PIN;
-
-typedef struct _VBICODECFILTERING_STATISTICS_NABTS {
-  VBICODECFILTERING_STATISTICS_COMMON Common;
-  DWORD FECBundleBadLines;
-  DWORD FECQueueOverflows;
-  DWORD FECCorrectedLines;
-  DWORD FECUncorrectableLines;
-  DWORD BundlesProcessed;
-  DWORD BundlesSent2IP;
-  DWORD FilteredLines;
-} VBICODECFILTERING_STATISTICS_NABTS,*PVBICODECFILTERING_STATISTICS_NABTS;
-
-typedef struct _VBICODECFILTERING_STATISTICS_NABTS_PIN {
-  VBICODECFILTERING_STATISTICS_COMMON_PIN Common;
-} VBICODECFILTERING_STATISTICS_NABTS_PIN,*PVBICODECFILTERING_STATISTICS_NABTS_PIN;
-
-typedef struct _VBICODECFILTERING_STATISTICS_CC {
-  VBICODECFILTERING_STATISTICS_COMMON Common;
-} VBICODECFILTERING_STATISTICS_CC,*PVBICODECFILTERING_STATISTICS_CC;
-
-typedef struct _VBICODECFILTERING_STATISTICS_CC_PIN {
-  VBICODECFILTERING_STATISTICS_COMMON_PIN Common;
-} VBICODECFILTERING_STATISTICS_CC_PIN,*PVBICODECFILTERING_STATISTICS_CC_PIN;
-
-typedef struct _VBICODECFILTERING_STATISTICS_TELETEXT {
-  VBICODECFILTERING_STATISTICS_COMMON Common;
-} VBICODECFILTERING_STATISTICS_TELETEXT,*PVBICODECFILTERING_STATISTICS_TELETEXT;
-
-typedef struct _VBICODECFILTERING_STATISTICS_TELETEXT_PIN {
-  VBICODECFILTERING_STATISTICS_COMMON_PIN Common;
-} VBICODECFILTERING_STATISTICS_TELETEXT_PIN,*PVBICODECFILTERING_STATISTICS_TELETEXT_PIN;
-
-typedef struct {
-  KSPROPERTY Property;
-  VBICODECFILTERING_SCANLINES Scanlines;
-} KSPROPERTY_VBICODECFILTERING_SCANLINES_S,*PKSPROPERTY_VBICODECFILTERING_SCANLINES_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  VBICODECFILTERING_NABTS_SUBSTREAMS Substreams;
-} KSPROPERTY_VBICODECFILTERING_NABTS_SUBSTREAMS_S,*PKSPROPERTY_VBICODECFILTERING_NABTS_SUBSTREAMS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  VBICODECFILTERING_CC_SUBSTREAMS Substreams;
-} KSPROPERTY_VBICODECFILTERING_CC_SUBSTREAMS_S,*PKSPROPERTY_VBICODECFILTERING_CC_SUBSTREAMS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  VBICODECFILTERING_STATISTICS_COMMON Statistics;
-} KSPROPERTY_VBICODECFILTERING_STATISTICS_COMMON_S,*PKSPROPERTY_VBICODECFILTERING_STATISTICS_COMMON_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  VBICODECFILTERING_STATISTICS_COMMON_PIN Statistics;
-} KSPROPERTY_VBICODECFILTERING_STATISTICS_COMMON_PIN_S,*PKSPROPERTY_VBICODECFILTERING_STATISTICS_COMMON_PIN_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  VBICODECFILTERING_STATISTICS_NABTS Statistics;
-} KSPROPERTY_VBICODECFILTERING_STATISTICS_NABTS_S,*PKSPROPERTY_VBICODECFILTERING_STATISTICS_NABTS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  VBICODECFILTERING_STATISTICS_NABTS_PIN Statistics;
-} KSPROPERTY_VBICODECFILTERING_STATISTICS_NABTS_PIN_S,*PKSPROPERTY_VBICODECFILTERING_STATISTICS_NABTS_PIN_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  VBICODECFILTERING_STATISTICS_CC Statistics;
-} KSPROPERTY_VBICODECFILTERING_STATISTICS_CC_S,*PKSPROPERTY_VBICODECFILTERING_STATISTICS_CC_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  VBICODECFILTERING_STATISTICS_CC_PIN Statistics;
-} KSPROPERTY_VBICODECFILTERING_STATISTICS_CC_PIN_S,*PKSPROPERTY_VBICODECFILTERING_STATISTICS_CC_PIN_S;
-
-#define STATIC_PINNAME_VIDEO_CAPTURE					\
-	0xfb6c4281,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-#define STATIC_PINNAME_CAPTURE STATIC_PINNAME_VIDEO_CAPTURE
-DEFINE_GUIDSTRUCT("FB6C4281-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_CAPTURE);
-#define PINNAME_VIDEO_CAPTURE DEFINE_GUIDNAMED(PINNAME_VIDEO_CAPTURE)
-#define PINNAME_CAPTURE PINNAME_VIDEO_CAPTURE
-
-#define STATIC_PINNAME_VIDEO_CC_CAPTURE					\
-	0x1aad8061,0x12d,0x11d2,0xb4,0xb1,0x0,0xa0,0xd1,0x2,0xcf,0xbe
-#define STATIC_PINNAME_CC_CAPTURE STATIC_PINNAME_VIDEO_CC_CAPTURE
-DEFINE_GUIDSTRUCT("1AAD8061-012D-11d2-B4B1-00A0D102CFBE",PINNAME_VIDEO_CC_CAPTURE);
-#define PINNAME_VIDEO_CC_CAPTURE DEFINE_GUIDNAMED(PINNAME_VIDEO_CC_CAPTURE)
-
-#define STATIC_PINNAME_VIDEO_NABTS_CAPTURE				\
-	0x29703660,0x498a,0x11d2,0xb4,0xb1,0x0,0xa0,0xd1,0x2,0xcf,0xbe
-#define STATIC_PINNAME_NABTS_CAPTURE STATIC_PINNAME_VIDEO_NABTS_CAPTURE
-DEFINE_GUIDSTRUCT("29703660-498A-11d2-B4B1-00A0D102CFBE",PINNAME_VIDEO_NABTS_CAPTURE);
-#define PINNAME_VIDEO_NABTS_CAPTURE DEFINE_GUIDNAMED(PINNAME_VIDEO_NABTS_CAPTURE)
-
-#define STATIC_PINNAME_VIDEO_PREVIEW					\
-	0xfb6c4282,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-#define STATIC_PINNAME_PREVIEW STATIC_PINNAME_VIDEO_PREVIEW
-DEFINE_GUIDSTRUCT("FB6C4282-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_PREVIEW);
-#define PINNAME_VIDEO_PREVIEW DEFINE_GUIDNAMED(PINNAME_VIDEO_PREVIEW)
-#define PINNAME_PREVIEW PINNAME_VIDEO_PREVIEW
-
-#define STATIC_PINNAME_VIDEO_ANALOGVIDEOIN				\
-	0xfb6c4283,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C4283-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_ANALOGVIDEOIN);
-#define PINNAME_VIDEO_ANALOGVIDEOIN DEFINE_GUIDNAMED(PINNAME_VIDEO_ANALOGVIDEOIN)
-
-#define STATIC_PINNAME_VIDEO_VBI					\
-	0xfb6c4284,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C4284-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_VBI);
-#define PINNAME_VIDEO_VBI DEFINE_GUIDNAMED(PINNAME_VIDEO_VBI)
-
-#define STATIC_PINNAME_VIDEO_VIDEOPORT					\
-	0xfb6c4285,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C4285-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_VIDEOPORT);
-#define PINNAME_VIDEO_VIDEOPORT DEFINE_GUIDNAMED(PINNAME_VIDEO_VIDEOPORT)
-
-#define STATIC_PINNAME_VIDEO_NABTS					\
-	0xfb6c4286,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C4286-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_NABTS);
-#define PINNAME_VIDEO_NABTS DEFINE_GUIDNAMED(PINNAME_VIDEO_NABTS)
-
-#define STATIC_PINNAME_VIDEO_EDS					\
-	0xfb6c4287,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C4287-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_EDS);
-#define PINNAME_VIDEO_EDS DEFINE_GUIDNAMED(PINNAME_VIDEO_EDS)
-
-#define STATIC_PINNAME_VIDEO_TELETEXT					\
-	0xfb6c4288,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C4288-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_TELETEXT);
-#define PINNAME_VIDEO_TELETEXT DEFINE_GUIDNAMED(PINNAME_VIDEO_TELETEXT)
-
-#define STATIC_PINNAME_VIDEO_CC						\
-	0xfb6c4289,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C4289-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_CC);
-#define PINNAME_VIDEO_CC DEFINE_GUIDNAMED(PINNAME_VIDEO_CC)
-
-#define STATIC_PINNAME_VIDEO_STILL					\
-	0xfb6c428A,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C428A-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_STILL);
-#define PINNAME_VIDEO_STILL DEFINE_GUIDNAMED(PINNAME_VIDEO_STILL)
-
-#define STATIC_PINNAME_VIDEO_TIMECODE					\
-	0xfb6c428B,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C428B-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_TIMECODE);
-#define PINNAME_VIDEO_TIMECODE DEFINE_GUIDNAMED(PINNAME_VIDEO_TIMECODE)
-
-#define STATIC_PINNAME_VIDEO_VIDEOPORT_VBI				\
-	0xfb6c428C,0x353,0x11d1,0x90,0x5f,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("FB6C428C-0353-11d1-905F-0000C0CC16BA",PINNAME_VIDEO_VIDEOPORT_VBI);
-#define PINNAME_VIDEO_VIDEOPORT_VBI DEFINE_GUIDNAMED(PINNAME_VIDEO_VIDEOPORT_VBI)
-
-#define KS_VIDEO_FLAG_FRAME		0x0000L
-#define KS_VIDEO_FLAG_FIELD1		0x0001L
-#define KS_VIDEO_FLAG_FIELD2		0x0002L
-
-#define KS_VIDEO_FLAG_I_FRAME		0x0000L
-#define KS_VIDEO_FLAG_P_FRAME		0x0010L
-#define KS_VIDEO_FLAG_B_FRAME		0x0020L
-
-typedef struct tagKS_FRAME_INFO {
-  ULONG ExtendedHeaderSize;
-  DWORD dwFrameFlags;
-  LONGLONG PictureNumber;
-  LONGLONG DropCount;
-  HANDLE hDirectDraw;
-  HANDLE hSurfaceHandle;
-  RECT DirectDrawRect;
-
-  DWORD Reserved1;
-  DWORD Reserved2;
-  DWORD Reserved3;
-  DWORD Reserved4;
-} KS_FRAME_INFO,*PKS_FRAME_INFO;
-
-#define KS_VBI_FLAG_FIELD1		0x0001L
-#define KS_VBI_FLAG_FIELD2		0x0002L
-
-#define KS_VBI_FLAG_MV_PRESENT		0x0100L
-#define KS_VBI_FLAG_MV_HARDWARE		0x0200L
-#define KS_VBI_FLAG_MV_DETECTED		0x0400L
-
-#define KS_VBI_FLAG_TVTUNER_CHANGE	0x0010L
-#define KS_VBI_FLAG_VBIINFOHEADER_CHANGE 0x0020L
-
-typedef struct tagKS_VBI_FRAME_INFO {
-  ULONG ExtendedHeaderSize;
-  DWORD dwFrameFlags;
-  LONGLONG PictureNumber;
-  LONGLONG DropCount;
-  DWORD dwSamplingFrequency;
-  KS_TVTUNER_CHANGE_INFO TvTunerChangeInfo;
-  KS_VBIINFOHEADER VBIInfoHeader;
-} KS_VBI_FRAME_INFO,*PKS_VBI_FRAME_INFO;
-
-typedef enum
-{
-  KS_AnalogVideo_None = 0x00000000,
-  KS_AnalogVideo_NTSC_M = 0x00000001,
-  KS_AnalogVideo_NTSC_M_J = 0x00000002,
-  KS_AnalogVideo_NTSC_433 = 0x00000004,
-  KS_AnalogVideo_PAL_B = 0x00000010,
-  KS_AnalogVideo_PAL_D = 0x00000020,
-  KS_AnalogVideo_PAL_G = 0x00000040,
-  KS_AnalogVideo_PAL_H = 0x00000080,
-  KS_AnalogVideo_PAL_I = 0x00000100,
-  KS_AnalogVideo_PAL_M = 0x00000200,
-  KS_AnalogVideo_PAL_N = 0x00000400,
-  KS_AnalogVideo_PAL_60 = 0x00000800,
-  KS_AnalogVideo_SECAM_B = 0x00001000,
-  KS_AnalogVideo_SECAM_D = 0x00002000,
-  KS_AnalogVideo_SECAM_G = 0x00004000,
-  KS_AnalogVideo_SECAM_H = 0x00008000,
-  KS_AnalogVideo_SECAM_K = 0x00010000,
-  KS_AnalogVideo_SECAM_K1 = 0x00020000,
-  KS_AnalogVideo_SECAM_L = 0x00040000,
-  KS_AnalogVideo_SECAM_L1 = 0x00080000,
-  KS_AnalogVideo_PAL_N_COMBO = 0x00100000
-} KS_AnalogVideoStandard;
-
-#define KS_AnalogVideo_NTSC_Mask	0x00000007
-#define KS_AnalogVideo_PAL_Mask		0x00100FF0
-#define KS_AnalogVideo_SECAM_Mask	0x000FF000
-
-#define STATIC_PROPSETID_ALLOCATOR_CONTROL				\
-	0x53171960,0x148e,0x11d2,0x99,0x79,0x0,0x0,0xc0,0xcc,0x16,0xba
-DEFINE_GUIDSTRUCT("53171960-148E-11d2-9979-0000C0CC16BA",PROPSETID_ALLOCATOR_CONTROL);
-#define PROPSETID_ALLOCATOR_CONTROL DEFINE_GUIDNAMED(PROPSETID_ALLOCATOR_CONTROL)
-
-typedef enum {
-  KSPROPERTY_ALLOCATOR_CONTROL_HONOR_COUNT,
-  KSPROPERTY_ALLOCATOR_CONTROL_SURFACE_SIZE,
-  KSPROPERTY_ALLOCATOR_CONTROL_CAPTURE_CAPS,
-  KSPROPERTY_ALLOCATOR_CONTROL_CAPTURE_INTERLEAVE
-} KSPROPERTY_ALLOCATOR_CONTROL;
-
-typedef struct {
-  ULONG CX;
-  ULONG CY;
-} KSPROPERTY_ALLOCATOR_CONTROL_SURFACE_SIZE_S,*PKSPROPERTY_ALLOCATOR_CONTROL_SURFACE_SIZE_S;
-
-typedef struct {
-  ULONG InterleavedCapSupported;
-} KSPROPERTY_ALLOCATOR_CONTROL_CAPTURE_CAPS_S,*PKSPROPERTY_ALLOCATOR_CONTROL_CAPTURE_CAPS_S;
-
-typedef struct {
-  ULONG InterleavedCapPossible;
-} KSPROPERTY_ALLOCATOR_CONTROL_CAPTURE_INTERLEAVE_S,*PKSPROPERTY_ALLOCATOR_CONTROL_CAPTURE_INTERLEAVE_S;
-
-#define STATIC_PROPSETID_VIDCAP_VIDEOPROCAMP				\
-	0xC6E13360L,0x30AC,0x11d0,0xa1,0x8c,0x00,0xA0,0xC9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("C6E13360-30AC-11d0-A18C-00A0C9118956",PROPSETID_VIDCAP_VIDEOPROCAMP);
-#define PROPSETID_VIDCAP_VIDEOPROCAMP DEFINE_GUIDNAMED(PROPSETID_VIDCAP_VIDEOPROCAMP)
-
-typedef enum {
-  KSPROPERTY_VIDEOPROCAMP_BRIGHTNESS,
-  KSPROPERTY_VIDEOPROCAMP_CONTRAST,
-  KSPROPERTY_VIDEOPROCAMP_HUE,
-  KSPROPERTY_VIDEOPROCAMP_SATURATION,
-  KSPROPERTY_VIDEOPROCAMP_SHARPNESS,
-  KSPROPERTY_VIDEOPROCAMP_GAMMA,
-  KSPROPERTY_VIDEOPROCAMP_COLORENABLE,
-  KSPROPERTY_VIDEOPROCAMP_WHITEBALANCE,
-  KSPROPERTY_VIDEOPROCAMP_BACKLIGHT_COMPENSATION,
-  KSPROPERTY_VIDEOPROCAMP_GAIN,
-  KSPROPERTY_VIDEOPROCAMP_DIGITAL_MULTIPLIER,
-  KSPROPERTY_VIDEOPROCAMP_DIGITAL_MULTIPLIER_LIMIT,
-  KSPROPERTY_VIDEOPROCAMP_WHITEBALANCE_COMPONENT,
-  KSPROPERTY_VIDEOPROCAMP_POWERLINE_FREQUENCY
-} KSPROPERTY_VIDCAP_VIDEOPROCAMP;
-
-typedef struct {
-  KSPROPERTY Property;
-  LONG Value;
-  ULONG Flags;
-  ULONG Capabilities;
-} KSPROPERTY_VIDEOPROCAMP_S,*PKSPROPERTY_VIDEOPROCAMP_S;
-
-typedef struct {
-  KSP_NODE NodeProperty;
-  LONG Value;
-  ULONG Flags;
-  ULONG Capabilities;
-} KSPROPERTY_VIDEOPROCAMP_NODE_S,*PKSPROPERTY_VIDEOPROCAMP_NODE_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  LONG Value1;
-  ULONG Flags;
-  ULONG Capabilities;
-  LONG Value2;
-} KSPROPERTY_VIDEOPROCAMP_S2,*PKSPROPERTY_VIDEOPROCAMP_S2;
-
-typedef struct {
-  KSP_NODE NodeProperty;
-  LONG Value1;
-  ULONG Flags;
-  ULONG Capabilities;
-  LONG Value2;
-} KSPROPERTY_VIDEOPROCAMP_NODE_S2,*PKSPROPERTY_VIDEOPROCAMP_NODE_S2;
-
-#define KSPROPERTY_VIDEOPROCAMP_FLAGS_AUTO	0X0001L
-#define KSPROPERTY_VIDEOPROCAMP_FLAGS_MANUAL	0X0002L
-
-#define STATIC_PROPSETID_VIDCAP_SELECTOR				\
-	0x1ABDAECA,0x68B6,0x4F83,0x93,0x71,0xB4,0x13,0x90,0x7C,0x7B,0x9F
-DEFINE_GUIDSTRUCT("1ABDAECA-68B6-4F83-9371-B413907C7B9F",PROPSETID_VIDCAP_SELECTOR);
-#define PROPSETID_VIDCAP_SELECTOR DEFINE_GUIDNAMED(PROPSETID_VIDCAP_SELECTOR)
-
-typedef enum {
-  KSPROPERTY_SELECTOR_SOURCE_NODE_ID,
-  KSPROPERTY_SELECTOR_NUM_SOURCES
-} KSPROPERTY_VIDCAP_SELECTOR,*PKSPROPERTY_VIDCAP_SELECTOR;
-
-typedef struct {
-  KSPROPERTY Property;
-  LONG Value;
-  ULONG Flags;
-  ULONG Capabilities;
-} KSPROPERTY_SELECTOR_S,*PKSPROPERTY_SELECTOR_S;
-
-typedef struct {
-  KSP_NODE NodeProperty;
-  LONG Value;
-  ULONG Flags;
-  ULONG Capabilities;
-} KSPROPERTY_SELECTOR_NODE_S,*PKSPROPERTY_SELECTOR_NODE_S;
-
-#define STATIC_PROPSETID_TUNER						\
-	0x6a2e0605L,0x28e4,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("6a2e0605-28e4-11d0-a18c-00a0c9118956",PROPSETID_TUNER);
-#define PROPSETID_TUNER DEFINE_GUIDNAMED(PROPSETID_TUNER)
-
-typedef enum {
-  KSPROPERTY_TUNER_CAPS,
-  KSPROPERTY_TUNER_MODE_CAPS,
-  KSPROPERTY_TUNER_MODE,
-  KSPROPERTY_TUNER_STANDARD,
-  KSPROPERTY_TUNER_FREQUENCY,
-  KSPROPERTY_TUNER_INPUT,
-  KSPROPERTY_TUNER_STATUS,
-  KSPROPERTY_TUNER_IF_MEDIUM
-} KSPROPERTY_TUNER;
-
-typedef enum {
-  KSPROPERTY_TUNER_MODE_TV = 0X0001,
-  KSPROPERTY_TUNER_MODE_FM_RADIO = 0X0002,
-  KSPROPERTY_TUNER_MODE_AM_RADIO = 0X0004,
-  KSPROPERTY_TUNER_MODE_DSS = 0X0008,
-  KSPROPERTY_TUNER_MODE_ATSC = 0X0010
-} KSPROPERTY_TUNER_MODES;
-
-typedef enum {
-  KS_TUNER_TUNING_EXACT = 1,
-  KS_TUNER_TUNING_FINE,
-  KS_TUNER_TUNING_COARSE
-} KS_TUNER_TUNING_FLAGS;
-
-typedef enum {
-  KS_TUNER_STRATEGY_PLL = 0X01,
-  KS_TUNER_STRATEGY_SIGNAL_STRENGTH = 0X02,
-  KS_TUNER_STRATEGY_DRIVER_TUNES = 0X04
-} KS_TUNER_STRATEGY;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG ModesSupported;
-  KSPIN_MEDIUM VideoMedium;
-  KSPIN_MEDIUM TVAudioMedium;
-  KSPIN_MEDIUM RadioAudioMedium;
-} KSPROPERTY_TUNER_CAPS_S,*PKSPROPERTY_TUNER_CAPS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  KSPIN_MEDIUM IFMedium;
-} KSPROPERTY_TUNER_IF_MEDIUM_S,*PKSPROPERTY_TUNER_IF_MEDIUM_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG Mode;
-  ULONG StandardsSupported;
-  ULONG MinFrequency;
-  ULONG MaxFrequency;
-  ULONG TuningGranularity;
-  ULONG NumberOfInputs;
-  ULONG SettlingTime;
-  ULONG Strategy;
-} KSPROPERTY_TUNER_MODE_CAPS_S,*PKSPROPERTY_TUNER_MODE_CAPS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG Mode;
-} KSPROPERTY_TUNER_MODE_S,*PKSPROPERTY_TUNER_MODE_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG Frequency;
-  ULONG LastFrequency;
-  ULONG TuningFlags;
-  ULONG VideoSubChannel;
-  ULONG AudioSubChannel;
-  ULONG Channel;
-  ULONG Country;
-} KSPROPERTY_TUNER_FREQUENCY_S,*PKSPROPERTY_TUNER_FREQUENCY_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG Standard;
-} KSPROPERTY_TUNER_STANDARD_S,*PKSPROPERTY_TUNER_STANDARD_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG InputIndex;
-} KSPROPERTY_TUNER_INPUT_S,*PKSPROPERTY_TUNER_INPUT_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG CurrentFrequency;
-  ULONG PLLOffset;
-  ULONG SignalStrength;
-  ULONG Busy;
-} KSPROPERTY_TUNER_STATUS_S,*PKSPROPERTY_TUNER_STATUS_S;
-
-#define STATIC_EVENTSETID_TUNER						\
-	0x6a2e0606L,0x28e4,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("6a2e0606-28e4-11d0-a18c-00a0c9118956",EVENTSETID_TUNER);
-#define EVENTSETID_TUNER DEFINE_GUIDNAMED(EVENTSETID_TUNER)
-
-typedef enum {
-  KSEVENT_TUNER_CHANGED
-} KSEVENT_TUNER;
-
-#define STATIC_KSNODETYPE_VIDEO_STREAMING				\
-	0xDFF229E1L,0xF70F,0x11D0,0xB9,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("DFF229E1-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VIDEO_STREAMING);
-#define KSNODETYPE_VIDEO_STREAMING DEFINE_GUIDNAMED(KSNODETYPE_VIDEO_STREAMING)
-
-#define STATIC_KSNODETYPE_VIDEO_INPUT_TERMINAL				\
-	0xDFF229E2L,0xF70F,0x11D0,0xB9,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("DFF229E2-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VIDEO_INPUT_TERMINAL);
-#define KSNODETYPE_VIDEO_INPUT_TERMINAL DEFINE_GUIDNAMED(KSNODETYPE_VIDEO_INPUT_TERMINAL)
-
-#define STATIC_KSNODETYPE_VIDEO_OUTPUT_TERMINAL				\
-	0xDFF229E3L,0xF70F,0x11D0,0xB9,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("DFF229E3-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VIDEO_OUTPUT_TERMINAL);
-#define KSNODETYPE_VIDEO_OUTPUT_TERMINAL DEFINE_GUIDNAMED(KSNODETYPE_VIDEO_OUTPUT_TERMINAL)
-
-#define STATIC_KSNODETYPE_VIDEO_SELECTOR				\
-	0xDFF229E4L,0xF70F,0x11D0,0xB9,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("DFF229E4-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VIDEO_SELECTOR);
-#define KSNODETYPE_VIDEO_SELECTOR DEFINE_GUIDNAMED(KSNODETYPE_VIDEO_SELECTOR)
-
-#define STATIC_KSNODETYPE_VIDEO_PROCESSING				\
-	0xDFF229E5L,0xF70F,0x11D0,0xB9,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("DFF229E5-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VIDEO_PROCESSING);
-#define KSNODETYPE_VIDEO_PROCESSING DEFINE_GUIDNAMED(KSNODETYPE_VIDEO_PROCESSING)
-
-#define STATIC_KSNODETYPE_VIDEO_CAMERA_TERMINAL				\
-	0xDFF229E6L,0xF70F,0x11D0,0xB9,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("DFF229E6-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VIDEO_CAMERA_TERMINAL);
-#define KSNODETYPE_VIDEO_CAMERA_TERMINAL DEFINE_GUIDNAMED(KSNODETYPE_VIDEO_CAMERA_TERMINAL)
-
-#define STATIC_KSNODETYPE_VIDEO_INPUT_MTT				\
-	0xDFF229E7L,0xF70F,0x11D0,0xB9,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("DFF229E7-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VIDEO_INPUT_MTT);
-#define KSNODETYPE_VIDEO_INPUT_MTT DEFINE_GUIDNAMED(KSNODETYPE_VIDEO_INPUT_MTT)
-
-#define STATIC_KSNODETYPE_VIDEO_OUTPUT_MTT				\
-	0xDFF229E8L,0xF70F,0x11D0,0xB9,0x17,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("DFF229E8-F70F-11D0-B917-00A0C9223196",KSNODETYPE_VIDEO_OUTPUT_MTT);
-#define KSNODETYPE_VIDEO_OUTPUT_MTT DEFINE_GUIDNAMED(KSNODETYPE_VIDEO_OUTPUT_MTT)
-
-#define STATIC_PROPSETID_VIDCAP_VIDEOENCODER				\
-	0x6a2e0610L,0x28e4,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("6a2e0610-28e4-11d0-a18c-00a0c9118956",PROPSETID_VIDCAP_VIDEOENCODER);
-#define PROPSETID_VIDCAP_VIDEOENCODER DEFINE_GUIDNAMED(PROPSETID_VIDCAP_VIDEOENCODER)
-
-typedef enum {
-  KSPROPERTY_VIDEOENCODER_CAPS,
-  KSPROPERTY_VIDEOENCODER_STANDARD,
-  KSPROPERTY_VIDEOENCODER_COPYPROTECTION,
-  KSPROPERTY_VIDEOENCODER_CC_ENABLE
-} KSPROPERTY_VIDCAP_VIDEOENCODER;
-
-typedef struct {
-  KSPROPERTY Property;
-  LONG Value;
-  ULONG Flags;
-  ULONG Capabilities;
-} KSPROPERTY_VIDEOENCODER_S,*PKSPROPERTY_VIDEOENCODER_S;
-
-#define STATIC_PROPSETID_VIDCAP_VIDEODECODER				\
-	0xC6E13350L,0x30AC,0x11d0,0xA1,0x8C,0x00,0xA0,0xC9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("C6E13350-30AC-11d0-A18C-00A0C9118956",PROPSETID_VIDCAP_VIDEODECODER);
-#define PROPSETID_VIDCAP_VIDEODECODER DEFINE_GUIDNAMED(PROPSETID_VIDCAP_VIDEODECODER)
-
-typedef enum {
-  KSPROPERTY_VIDEODECODER_CAPS,
-  KSPROPERTY_VIDEODECODER_STANDARD,
-  KSPROPERTY_VIDEODECODER_STATUS,
-  KSPROPERTY_VIDEODECODER_OUTPUT_ENABLE,
-  KSPROPERTY_VIDEODECODER_VCR_TIMING
-} KSPROPERTY_VIDCAP_VIDEODECODER;
-
-typedef enum {
-  KS_VIDEODECODER_FLAGS_CAN_DISABLE_OUTPUT = 0X0001,
-  KS_VIDEODECODER_FLAGS_CAN_USE_VCR_LOCKING = 0X0002,
-  KS_VIDEODECODER_FLAGS_CAN_INDICATE_LOCKED = 0X0004
-} KS_VIDEODECODER_FLAGS;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG StandardsSupported;
-  ULONG Capabilities;
-  ULONG SettlingTime;
-  ULONG HSyncPerVSync;
-} KSPROPERTY_VIDEODECODER_CAPS_S,*PKSPROPERTY_VIDEODECODER_CAPS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG NumberOfLines;
-  ULONG SignalLocked;
-} KSPROPERTY_VIDEODECODER_STATUS_S,*PKSPROPERTY_VIDEODECODER_STATUS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG Value;
-} KSPROPERTY_VIDEODECODER_S,*PKSPROPERTY_VIDEODECODER_S;
-
-#define STATIC_EVENTSETID_VIDEODECODER					\
-	0x6a2e0621L,0x28e4,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("6a2e0621-28e4-11d0-a18c-00a0c9118956",EVENTSETID_VIDEODECODER);
-#define EVENTSETID_VIDEODECODER DEFINE_GUIDNAMED(EVENTSETID_VIDEODECODER)
-
-typedef enum {
-  KSEVENT_VIDEODECODER_CHANGED
-} KSEVENT_VIDEODECODER;
-
-#define STATIC_PROPSETID_VIDCAP_CAMERACONTROL				\
-	0xC6E13370L,0x30AC,0x11d0,0xa1,0x8C,0x00,0xA0,0xC9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("C6E13370-30AC-11d0-A18C-00A0C9118956",PROPSETID_VIDCAP_CAMERACONTROL);
-#define PROPSETID_VIDCAP_CAMERACONTROL DEFINE_GUIDNAMED(PROPSETID_VIDCAP_CAMERACONTROL)
-
-typedef enum {
-  KSPROPERTY_CAMERACONTROL_PAN,
-  KSPROPERTY_CAMERACONTROL_TILT,
-  KSPROPERTY_CAMERACONTROL_ROLL,
-  KSPROPERTY_CAMERACONTROL_ZOOM,
-  KSPROPERTY_CAMERACONTROL_EXPOSURE,
-  KSPROPERTY_CAMERACONTROL_IRIS,
-  KSPROPERTY_CAMERACONTROL_FOCUS,
-  KSPROPERTY_CAMERACONTROL_SCANMODE,
-  KSPROPERTY_CAMERACONTROL_PRIVACY,
-  KSPROPERTY_CAMERACONTROL_PANTILT,
-  KSPROPERTY_CAMERACONTROL_PAN_RELATIVE,
-  KSPROPERTY_CAMERACONTROL_TILT_RELATIVE,
-  KSPROPERTY_CAMERACONTROL_ROLL_RELATIVE,
-  KSPROPERTY_CAMERACONTROL_ZOOM_RELATIVE,
-  KSPROPERTY_CAMERACONTROL_EXPOSURE_RELATIVE,
-  KSPROPERTY_CAMERACONTROL_IRIS_RELATIVE,
-  KSPROPERTY_CAMERACONTROL_FOCUS_RELATIVE,
-  KSPROPERTY_CAMERACONTROL_PANTILT_RELATIVE,
-  KSPROPERTY_CAMERACONTROL_FOCAL_LENGTH
-} KSPROPERTY_VIDCAP_CAMERACONTROL;
-
-typedef struct {
-  KSPROPERTY Property;
-  LONG Value;
-  ULONG Flags;
-  ULONG Capabilities;
-} KSPROPERTY_CAMERACONTROL_S,*PKSPROPERTY_CAMERACONTROL_S;
-
-typedef struct {
-  KSP_NODE NodeProperty;
-  LONG Value;
-  ULONG Flags;
-  ULONG Capabilities;
-} KSPROPERTY_CAMERACONTROL_NODE_S,PKSPROPERTY_CAMERACONTROL_NODE_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  LONG Value1;
-  ULONG Flags;
-  ULONG Capabilities;
-  LONG Value2;
-} KSPROPERTY_CAMERACONTROL_S2,*PKSPROPERTY_CAMERACONTROL_S2;
-
-typedef struct {
-  KSP_NODE NodeProperty;
-  LONG Value1;
-  ULONG Flags;
-  ULONG Capabilities;
-  LONG Value2;
-} KSPROPERTY_CAMERACONTROL_NODE_S2,*PKSPROPERTY_CAMERACONTROL_NODE_S2;
-
-typedef struct {
-  KSPROPERTY Property;
-  LONG lOcularFocalLength;
-  LONG lObjectiveFocalLengthMin;
-  LONG lObjectiveFocalLengthMax;
-} KSPROPERTY_CAMERACONTROL_FOCAL_LENGTH_S,*PKSPROPERTY_CAMERACONTROL_FOCAL_LENGTH_S;
-
-typedef struct {
-  KSNODEPROPERTY NodeProperty;
-  LONG lOcularFocalLength;
-  LONG lObjectiveFocalLengthMin;
-  LONG lObjectiveFocalLengthMax;
-} KSPROPERTY_CAMERACONTROL_NODE_FOCAL_LENGTH_S,*PKSPROPERTY_CAMERACONTROL_NODE_FOCAL_LENGTH_S;
-
-#define KSPROPERTY_CAMERACONTROL_FLAGS_AUTO	0X0001L
-#define KSPROPERTY_CAMERACONTROL_FLAGS_MANUAL	0X0002L
-
-#define KSPROPERTY_CAMERACONTROL_FLAGS_ABSOLUTE	0X0000L
-#define KSPROPERTY_CAMERACONTROL_FLAGS_RELATIVE	0X0010L
-
-#ifndef __EDevCtrl__
-#define __EDevCtrl__
-
-#define STATIC_PROPSETID_EXT_DEVICE					\
-	0xB5730A90L,0x1A2C,0x11cf,0x8c,0x23,0x00,0xAA,0x00,0x6B,0x68,0x14
-DEFINE_GUIDSTRUCT("B5730A90-1A2C-11cf-8C23-00AA006B6814",PROPSETID_EXT_DEVICE);
-#define PROPSETID_EXT_DEVICE DEFINE_GUIDNAMED(PROPSETID_EXT_DEVICE)
-
-typedef enum {
-  KSPROPERTY_EXTDEVICE_ID,
-  KSPROPERTY_EXTDEVICE_VERSION,
-  KSPROPERTY_EXTDEVICE_POWER_STATE,
-  KSPROPERTY_EXTDEVICE_PORT,
-  KSPROPERTY_EXTDEVICE_CAPABILITIES
-} KSPROPERTY_EXTDEVICE;
-
-typedef struct tagDEVCAPS{
-  LONG CanRecord;
-  LONG CanRecordStrobe;
-  LONG HasAudio;
-  LONG HasVideo;
-  LONG UsesFiles;
-  LONG CanSave;
-  LONG DeviceType;
-  LONG TCRead;
-  LONG TCWrite;
-  LONG CTLRead;
-  LONG IndexRead;
-  LONG Preroll;
-  LONG Postroll;
-  LONG SyncAcc;
-  LONG NormRate;
-  LONG CanPreview;
-  LONG CanMonitorSrc;
-  LONG CanTest;
-  LONG VideoIn;
-  LONG AudioIn;
-  LONG Calibrate;
-  LONG SeekType;
-  LONG SimulatedHardware;
-} DEVCAPS,*PDEVCAPS;
-
-typedef struct {
-  KSPROPERTY Property;
-  union {
-    DEVCAPS Capabilities;
-    ULONG DevPort;
-    ULONG PowerState;
-    WCHAR pawchString[MAX_PATH];
-    DWORD NodeUniqueID[2];
-  } u;
-} KSPROPERTY_EXTDEVICE_S,*PKSPROPERTY_EXTDEVICE_S;
-
-#define STATIC_PROPSETID_EXT_TRANSPORT					\
-	0xA03CD5F0L,0x3045,0x11cf,0x8c,0x44,0x00,0xAA,0x00,0x6B,0x68,0x14
-DEFINE_GUIDSTRUCT("A03CD5F0-3045-11cf-8C44-00AA006B6814",PROPSETID_EXT_TRANSPORT);
-#define PROPSETID_EXT_TRANSPORT DEFINE_GUIDNAMED(PROPSETID_EXT_TRANSPORT)
-
-typedef enum {
-  KSPROPERTY_EXTXPORT_CAPABILITIES,
-  KSPROPERTY_EXTXPORT_INPUT_SIGNAL_MODE,
-  KSPROPERTY_EXTXPORT_OUTPUT_SIGNAL_MODE,
-  KSPROPERTY_EXTXPORT_LOAD_MEDIUM,
-  KSPROPERTY_EXTXPORT_MEDIUM_INFO,
-  KSPROPERTY_EXTXPORT_STATE,
-  KSPROPERTY_EXTXPORT_STATE_NOTIFY,
-  KSPROPERTY_EXTXPORT_TIMECODE_SEARCH,
-  KSPROPERTY_EXTXPORT_ATN_SEARCH,
-  KSPROPERTY_EXTXPORT_RTC_SEARCH,
-  KSPROPERTY_RAW_AVC_CMD
-} KSPROPERTY_EXTXPORT;
-
-typedef struct tagTRANSPORTSTATUS {
-  LONG Mode;
-  LONG LastError;
-  LONG RecordInhibit;
-  LONG ServoLock;
-  LONG MediaPresent;
-  LONG MediaLength;
-  LONG MediaSize;
-  LONG MediaTrackCount;
-  LONG MediaTrackLength;
-  LONG MediaTrackSide;
-  LONG MediaType;
-  LONG LinkMode;
-  LONG NotifyOn;
-} TRANSPORTSTATUS,*PTRANSPORTSTATUS;
-
-typedef struct tagTRANSPORTBASICPARMS {
-  LONG TimeFormat;
-  LONG TimeReference;
-  LONG Superimpose;
-  LONG EndStopAction;
-  LONG RecordFormat;
-  LONG StepFrames;
-  LONG SetpField;
-  LONG Preroll;
-  LONG RecPreroll;
-  LONG Postroll;
-  LONG EditDelay;
-  LONG PlayTCDelay;
-  LONG RecTCDelay;
-  LONG EditField;
-  LONG FrameServo;
-  LONG ColorFrameServo;
-  LONG ServoRef;
-  LONG WarnGenlock;
-  LONG SetTracking;
-  TCHAR VolumeName[40];
-  LONG Ballistic[20];
-  LONG Speed;
-  LONG CounterFormat;
-  LONG TunerChannel;
-  LONG TunerNumber;
-  LONG TimerEvent;
-  LONG TimerStartDay;
-  LONG TimerStartTime;
-  LONG TimerStopDay;
-  LONG TimerStopTime;
-} TRANSPORTBASICPARMS,*PTRANSPORTBASICPARMS;
-
-typedef struct tagTRANSPORTVIDEOPARMS {
-  LONG OutputMode;
-  LONG Input;
-} TRANSPORTVIDEOPARMS,*PTRANSPORTVIDEOPARMS;
-
-typedef struct tagTRANSPORTAUDIOPARMS {
-  LONG EnableOutput;
-  LONG EnableRecord;
-  LONG EnableSelsync;
-  LONG Input;
-  LONG MonitorSource;
-} TRANSPORTAUDIOPARMS,*PTRANSPORTAUDIOPARMS;
-
-typedef struct {
-  WINBOOL MediaPresent;
-  ULONG MediaType;
-  WINBOOL RecordInhibit;
-} MEDIUM_INFO,*PMEDIUM_INFO;
-
-typedef struct {
-  ULONG Mode;
-  ULONG State;
-} TRANSPORT_STATE,*PTRANSPORT_STATE;
-
-typedef struct {
-  KSPROPERTY Property;
-  union {
-    ULONG Capabilities;
-    ULONG SignalMode;
-    ULONG LoadMedium;
-    MEDIUM_INFO MediumInfo;
-    TRANSPORT_STATE XPrtState;
-    struct {
-      BYTE frame;
-      BYTE second;
-      BYTE minute;
-      BYTE hour;
-    } Timecode;
-    DWORD dwTimecode;
-    DWORD dwAbsTrackNumber;
-    struct {
-      ULONG PayloadSize;
-      BYTE Payload[512];
-    } RawAVC;
-  } u;
-} KSPROPERTY_EXTXPORT_S,*PKSPROPERTY_EXTXPORT_S;
-
-typedef struct {
-  KSP_NODE NodeProperty;
-  union {
-    ULONG Capabilities;
-    ULONG SignalMode;
-    ULONG LoadMedium;
-    MEDIUM_INFO MediumInfo;
-    TRANSPORT_STATE XPrtState;
-    struct {
-      BYTE frame;
-      BYTE second;
-      BYTE minute;
-      BYTE hour;
-    } Timecode;
-    DWORD dwTimecode;
-    DWORD dwAbsTrackNumber;
-    struct {
-      ULONG PayloadSize;
-      BYTE Payload[512];
-    } RawAVC;
-  } u;
-} KSPROPERTY_EXTXPORT_NODE_S,*PKSPROPERTY_EXTXPORT_NODE_S;
-
-#define STATIC_PROPSETID_TIMECODE_READER				\
-	0x9B496CE1L,0x811B,0x11cf,0x8C,0x77,0x00,0xAA,0x00,0x6B,0x68,0x14
-DEFINE_GUIDSTRUCT("9B496CE1-811B-11cf-8C77-00AA006B6814",PROPSETID_TIMECODE_READER);
-#define PROPSETID_TIMECODE_READER DEFINE_GUIDNAMED(PROPSETID_TIMECODE_READER)
-
-typedef enum {
-  KSPROPERTY_TIMECODE_READER,
-  KSPROPERTY_ATN_READER,
-  KSPROPERTY_RTC_READER
-} KSPROPERTY_TIMECODE;
-
-#ifndef TIMECODE_DEFINED
-#define TIMECODE_DEFINED
-typedef union _timecode {
-  struct {
-    WORD wFrameRate;
-    WORD wFrameFract;
-    DWORD dwFrames;
-  };
-  DWORDLONG qw;
-} TIMECODE;
-typedef TIMECODE *PTIMECODE;
-
-typedef struct tagTIMECODE_SAMPLE {
-  LONGLONG qwTick;
-  TIMECODE timecode;
-  DWORD dwUser;
-  DWORD dwFlags;
-} TIMECODE_SAMPLE;
-
-typedef TIMECODE_SAMPLE *PTIMECODE_SAMPLE;
-#endif /* TIMECODE_DEFINED */
-
-typedef struct {
-  KSPROPERTY Property;
-  TIMECODE_SAMPLE TimecodeSamp;
-} KSPROPERTY_TIMECODE_S,*PKSPROPERTY_TIMECODE_S;
-
-typedef struct {
-  KSP_NODE NodeProperty;
-  TIMECODE_SAMPLE TimecodeSamp;
-} KSPROPERTY_TIMECODE_NODE_S,*PKSPROPERTY_TIMECODE_NODE_S;
-
-#define STATIC_KSEVENTSETID_EXTDEV_Command				\
-	0x109c7988L,0xb3cb,0x11d2,0xb4,0x8e,0x00,0x60,0x97,0xb3,0x39,0x1b
-DEFINE_GUIDSTRUCT("109c7988-b3cb-11d2-b48e-006097b3391b",KSEVENTSETID_EXTDEV_Command);
-#define KSEVENTSETID_EXTDEV_Command DEFINE_GUIDNAMED(KSEVENTSETID_EXTDEV_Command)
-
-typedef enum {
-  KSEVENT_EXTDEV_COMMAND_NOTIFY_INTERIM_READY,
-  KSEVENT_EXTDEV_COMMAND_CONTROL_INTERIM_READY,
-  KSEVENT_EXTDEV_COMMAND_BUSRESET,
-  KSEVENT_EXTDEV_TIMECODE_UPDATE,
-  KSEVENT_EXTDEV_OPERATION_MODE_UPDATE,
-  KSEVENT_EXTDEV_TRANSPORT_STATE_UPDATE,
-  KSEVENT_EXTDEV_NOTIFY_REMOVAL,
-  KSEVENT_EXTDEV_NOTIFY_MEDIUM_CHANGE
-} KSEVENT_DEVCMD;
-#endif /* __EDevCtrl__ */
-
-#define STATIC_PROPSETID_VIDCAP_CROSSBAR				\
-	0x6a2e0640L,0x28e4,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("6a2e0640-28e4-11d0-a18c-00a0c9118956",PROPSETID_VIDCAP_CROSSBAR);
-#define PROPSETID_VIDCAP_CROSSBAR DEFINE_GUIDNAMED(PROPSETID_VIDCAP_CROSSBAR)
-
-typedef enum {
-  KSPROPERTY_CROSSBAR_CAPS,
-  KSPROPERTY_CROSSBAR_PININFO,
-  KSPROPERTY_CROSSBAR_CAN_ROUTE,
-  KSPROPERTY_CROSSBAR_ROUTE
-} KSPROPERTY_VIDCAP_CROSSBAR;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG NumberOfInputs;
-  ULONG NumberOfOutputs;
-} KSPROPERTY_CROSSBAR_CAPS_S,*PKSPROPERTY_CROSSBAR_CAPS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  KSPIN_DATAFLOW Direction;
-  ULONG Index;
-  ULONG PinType;
-  ULONG RelatedPinIndex;
-  KSPIN_MEDIUM Medium;
-} KSPROPERTY_CROSSBAR_PININFO_S,*PKSPROPERTY_CROSSBAR_PININFO_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG IndexInputPin;
-  ULONG IndexOutputPin;
-  ULONG CanRoute;
-} KSPROPERTY_CROSSBAR_ROUTE_S,*PKSPROPERTY_CROSSBAR_ROUTE_S;
-
-#define STATIC_EVENTSETID_CROSSBAR					\
-	0x6a2e0641L,0x28e4,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("6a2e0641-28e4-11d0-a18c-00a0c9118956",EVENTSETID_CROSSBAR);
-#define EVENTSETID_CROSSBAR DEFINE_GUIDNAMED(EVENTSETID_CROSSBAR)
-
-typedef enum {
-  KSEVENT_CROSSBAR_CHANGED
-} KSEVENT_CROSSBAR;
-
-typedef enum {
-  KS_PhysConn_Video_Tuner = 1,
-  KS_PhysConn_Video_Composite,
-  KS_PhysConn_Video_SVideo,
-  KS_PhysConn_Video_RGB,
-  KS_PhysConn_Video_YRYBY,
-  KS_PhysConn_Video_SerialDigital,
-  KS_PhysConn_Video_ParallelDigital,
-  KS_PhysConn_Video_SCSI,
-  KS_PhysConn_Video_AUX,
-  KS_PhysConn_Video_1394,
-  KS_PhysConn_Video_USB,
-  KS_PhysConn_Video_VideoDecoder,
-  KS_PhysConn_Video_VideoEncoder,
-  KS_PhysConn_Video_SCART,
-  KS_PhysConn_Audio_Tuner = 4096,
-  KS_PhysConn_Audio_Line,
-  KS_PhysConn_Audio_Mic,
-  KS_PhysConn_Audio_AESDigital,
-  KS_PhysConn_Audio_SPDIFDigital,
-  KS_PhysConn_Audio_SCSI,
-  KS_PhysConn_Audio_AUX,
-  KS_PhysConn_Audio_1394,
-  KS_PhysConn_Audio_USB,
-  KS_PhysConn_Audio_AudioDecoder
-} KS_PhysicalConnectorType;
-
-#define STATIC_PROPSETID_VIDCAP_TVAUDIO					\
-	0x6a2e0650L,0x28e4,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("6a2e0650-28e4-11d0-a18c-00a0c9118956",PROPSETID_VIDCAP_TVAUDIO);
-#define PROPSETID_VIDCAP_TVAUDIO DEFINE_GUIDNAMED(PROPSETID_VIDCAP_TVAUDIO)
-
-typedef enum {
-  KSPROPERTY_TVAUDIO_CAPS,
-  KSPROPERTY_TVAUDIO_MODE,
-  KSPROPERTY_TVAUDIO_CURRENTLY_AVAILABLE_MODES
-} KSPROPERTY_VIDCAP_TVAUDIO;
-
-#define KS_TVAUDIO_MODE_MONO	0x0001
-#define KS_TVAUDIO_MODE_STEREO	0x0002
-#define KS_TVAUDIO_MODE_LANG_A	0x0010
-#define KS_TVAUDIO_MODE_LANG_B	0x0020
-#define KS_TVAUDIO_MODE_LANG_C	0x0040
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG Capabilities;
-  KSPIN_MEDIUM InputMedium;
-  KSPIN_MEDIUM OutputMedium;
-} KSPROPERTY_TVAUDIO_CAPS_S,*PKSPROPERTY_TVAUDIO_CAPS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG Mode;
-} KSPROPERTY_TVAUDIO_S,*PKSPROPERTY_TVAUDIO_S;
-
-#define STATIC_KSEVENTSETID_VIDCAP_TVAUDIO				\
-	0x6a2e0651L,0x28e4,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("6a2e0651-28e4-11d0-a18c-00a0c9118956",KSEVENTSETID_VIDCAP_TVAUDIO);
-#define KSEVENTSETID_VIDCAP_TVAUDIO DEFINE_GUIDNAMED(KSEVENTSETID_VIDCAP_TVAUDIO)
-
-typedef enum {
-  KSEVENT_TVAUDIO_CHANGED
-} KSEVENT_TVAUDIO;
-
-#define STATIC_PROPSETID_VIDCAP_VIDEOCOMPRESSION			\
-	0xC6E13343L,0x30AC,0x11d0,0xA1,0x8C,0x00,0xA0,0xC9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("C6E13343-30AC-11d0-A18C-00A0C9118956",PROPSETID_VIDCAP_VIDEOCOMPRESSION);
-#define PROPSETID_VIDCAP_VIDEOCOMPRESSION DEFINE_GUIDNAMED(PROPSETID_VIDCAP_VIDEOCOMPRESSION)
-
-typedef enum {
-  KSPROPERTY_VIDEOCOMPRESSION_GETINFO,
-  KSPROPERTY_VIDEOCOMPRESSION_KEYFRAME_RATE,
-  KSPROPERTY_VIDEOCOMPRESSION_PFRAMES_PER_KEYFRAME,
-  KSPROPERTY_VIDEOCOMPRESSION_QUALITY,
-  KSPROPERTY_VIDEOCOMPRESSION_OVERRIDE_KEYFRAME,
-  KSPROPERTY_VIDEOCOMPRESSION_OVERRIDE_FRAME_SIZE,
-  KSPROPERTY_VIDEOCOMPRESSION_WINDOWSIZE
-} KSPROPERTY_VIDCAP_VIDEOCOMPRESSION;
-
-typedef enum {
-  KS_CompressionCaps_CanQuality = 1,
-  KS_CompressionCaps_CanCrunch = 2,
-  KS_CompressionCaps_CanKeyFrame = 4,
-  KS_CompressionCaps_CanBFrame = 8,
-  KS_CompressionCaps_CanWindow = 0x10
-} KS_CompressionCaps;
-
-typedef enum {
-  KS_StreamingHint_FrameInterval = 0x0100,
-  KS_StreamingHint_KeyFrameRate = 0x0200,
-  KS_StreamingHint_PFrameRate = 0x0400,
-  KS_StreamingHint_CompQuality = 0x0800,
-  KS_StreamingHint_CompWindowSize = 0x1000
-} KS_VideoStreamingHints;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG StreamIndex;
-  LONG DefaultKeyFrameRate;
-  LONG DefaultPFrameRate;
-  LONG DefaultQuality;
-  LONG NumberOfQualitySettings;
-  LONG Capabilities;
-} KSPROPERTY_VIDEOCOMPRESSION_GETINFO_S,*PKSPROPERTY_VIDEOCOMPRESSION_GETINFO_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG StreamIndex;
-  LONG Value;
-} KSPROPERTY_VIDEOCOMPRESSION_S,*PKSPROPERTY_VIDEOCOMPRESSION_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG StreamIndex;
-  LONG Value;
-  ULONG Flags;
-} KSPROPERTY_VIDEOCOMPRESSION_S1,*PKSPROPERTY_VIDEOCOMPRESSION_S1;
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_OVERLAY				\
-	0xe436eb7fL,0x524f,0x11ce,0x9f,0x53,0x00,0x20,0xaf,0x0b,0xa7,0x70
-DEFINE_GUIDSTRUCT("e436eb7f-524f-11ce-9f53-0020af0ba770",KSDATAFORMAT_SUBTYPE_OVERLAY);
-#define KSDATAFORMAT_SUBTYPE_OVERLAY DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_OVERLAY)
-
-#define STATIC_KSPROPSETID_OverlayUpdate				\
-	0x490EA5CFL,0x7681,0x11D1,0xA2,0x1C,0x00,0xA0,0xC9,0x22,0x31,0x96
-DEFINE_GUIDSTRUCT("490EA5CF-7681-11D1-A21C-00A0C9223196",KSPROPSETID_OverlayUpdate);
-#define KSPROPSETID_OverlayUpdate DEFINE_GUIDNAMED(KSPROPSETID_OverlayUpdate)
-
-typedef enum {
-  KSPROPERTY_OVERLAYUPDATE_INTERESTS,
-  KSPROPERTY_OVERLAYUPDATE_CLIPLIST = 0x1,
-  KSPROPERTY_OVERLAYUPDATE_PALETTE = 0x2,
-  KSPROPERTY_OVERLAYUPDATE_COLORKEY = 0x4,
-  KSPROPERTY_OVERLAYUPDATE_VIDEOPOSITION = 0x8,
-  KSPROPERTY_OVERLAYUPDATE_DISPLAYCHANGE = 0x10,
-  KSPROPERTY_OVERLAYUPDATE_COLORREF = 0x10000000
-} KSPROPERTY_OVERLAYUPDATE;
-
-typedef struct {
-  ULONG PelsWidth;
-  ULONG PelsHeight;
-  ULONG BitsPerPel;
-  WCHAR DeviceID[1];
-} KSDISPLAYCHANGE,*PKSDISPLAYCHANGE;
-
-#define DEFINE_KSPROPERTY_ITEM_OVERLAYUPDATE_INTERESTS(Handler)		\
-	DEFINE_KSPROPERTY_ITEM(						\
-				KSPROPERTY_OVERLAYUPDATE_INTERESTS,	\
-				(Handler),				\
-				sizeof(KSPROPERTY),			\
-				sizeof(ULONG),				\
-				NULL, NULL, 0, NULL, NULL, 0)
-
-#define DEFINE_KSPROPERTY_ITEM_OVERLAYUPDATE_PALETTE(Handler)		\
-	DEFINE_KSPROPERTY_ITEM(						\
-				KSPROPERTY_OVERLAYUPDATE_PALETTE,	\
-				NULL,					\
-				sizeof(KSPROPERTY),			\
-				0,					\
-				(Handler),				\
-				NULL, 0, NULL, NULL, 0)
-
-#define DEFINE_KSPROPERTY_ITEM_OVERLAYUPDATE_COLORKEY(Handler)		\
-	DEFINE_KSPROPERTY_ITEM(						\
-				KSPROPERTY_OVERLAYUPDATE_COLORKEY,	\
-				NULL,					\
-				sizeof(KSPROPERTY),			\
-				sizeof(COLORKEY),			\
-				(Handler),				\
-				NULL, 0, NULL, NULL, 0)
-
-#define DEFINE_KSPROPERTY_ITEM_OVERLAYUPDATE_CLIPLIST(Handler)		\
-	DEFINE_KSPROPERTY_ITEM(						\
-				KSPROPERTY_OVERLAYUPDATE_CLIPLIST,	\
-				NULL,					\
-				sizeof(KSPROPERTY),			\
-				2 *sizeof(RECT) + sizeof(RGNDATAHEADER),\
-				(Handler),				\
-				NULL, 0, NULL, NULL, 0)
-
-#define DEFINE_KSPROPERTY_ITEM_OVERLAYUPDATE_VIDEOPOSITION(Handler)	\
-	DEFINE_KSPROPERTY_ITEM(						\
-				KSPROPERTY_OVERLAYUPDATE_VIDEOPOSITION,	\
-				NULL,					\
-				sizeof(KSPROPERTY),			\
-				2 *sizeof(RECT),			\
-				(Handler),				\
-				NULL, 0, NULL, NULL, 0)
-
-#define DEFINE_KSPROPERTY_ITEM_OVERLAYUPDATE_DISPLAYCHANGE(Handler)	\
-	DEFINE_KSPROPERTY_ITEM(						\
-				KSPROPERTY_OVERLAYUPDATE_DISPLAYCHANGE,	\
-				NULL,					\
-				sizeof(KSPROPERTY),			\
-				sizeof(KSDISPLAYCHANGE),		\
-				(Handler),				\
-				NULL, 0, NULL, NULL, 0)
-
-#define DEFINE_KSPROPERTY_ITEM_OVERLAYUPDATE_COLORREF(Handler)		\
-	DEFINE_KSPROPERTY_ITEM(						\
-				KSPROPERTY_OVERLAYUPDATE_COLORREF,	\
-				(Handler),				\
-				sizeof(KSPROPERTY),			\
-				sizeof(COLORREF),			\
-				NULL,					\
-				NULL, 0, NULL, NULL, 0)
-
-#define STATIC_PROPSETID_VIDCAP_VIDEOCONTROL				\
-	0x6a2e0670L,0x28e4,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("6a2e0670-28e4-11d0-a18c-00a0c9118956",PROPSETID_VIDCAP_VIDEOCONTROL);
-#define PROPSETID_VIDCAP_VIDEOCONTROL DEFINE_GUIDNAMED(PROPSETID_VIDCAP_VIDEOCONTROL)
-
-typedef enum {
-  KSPROPERTY_VIDEOCONTROL_CAPS,
-  KSPROPERTY_VIDEOCONTROL_ACTUAL_FRAME_RATE,
-  KSPROPERTY_VIDEOCONTROL_FRAME_RATES,
-  KSPROPERTY_VIDEOCONTROL_MODE
-} KSPROPERTY_VIDCAP_VIDEOCONTROL;
-
-typedef enum {
-  KS_VideoControlFlag_FlipHorizontal = 0x0001,
-  KS_VideoControlFlag_FlipVertical = 0x0002,
-  KS_Obsolete_VideoControlFlag_ExternalTriggerEnable = 0x0010,
-  KS_Obsolete_VideoControlFlag_Trigger = 0x0020,
-  KS_VideoControlFlag_ExternalTriggerEnable = 0x0004,
-  KS_VideoControlFlag_Trigger = 0x0008
-} KS_VideoControlFlags;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG StreamIndex;
-  ULONG VideoControlCaps;
-} KSPROPERTY_VIDEOCONTROL_CAPS_S,*PKSPROPERTY_VIDEOCONTROL_CAPS_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG StreamIndex;
-  LONG Mode;
-} KSPROPERTY_VIDEOCONTROL_MODE_S,*PKSPROPERTY_VIDEOCONTROL_MODE_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG StreamIndex;
-  ULONG RangeIndex;
-  SIZE Dimensions;
-  LONGLONG CurrentActualFrameRate;
-  LONGLONG CurrentMaxAvailableFrameRate;
-} KSPROPERTY_VIDEOCONTROL_ACTUAL_FRAME_RATE_S,*PKSPROPERTY_VIDEOCONTROL_ACTUAL_FRAME_RATE_S;
-
-typedef struct {
-  KSPROPERTY Property;
-  ULONG StreamIndex;
-  ULONG RangeIndex;
-  SIZE Dimensions;
-} KSPROPERTY_VIDEOCONTROL_FRAME_RATES_S,*PKSPROPERTY_VIDEOCONTROL_FRAME_RATES_S;
-
-#define STATIC_PROPSETID_VIDCAP_DROPPEDFRAMES				\
-	0xC6E13344L,0x30AC,0x11d0,0xa1,0x8c,0x00,0xa0,0xc9,0x11,0x89,0x56
-DEFINE_GUIDSTRUCT("C6E13344-30AC-11d0-A18C-00A0C9118956",PROPSETID_VIDCAP_DROPPEDFRAMES);
-#define PROPSETID_VIDCAP_DROPPEDFRAMES DEFINE_GUIDNAMED(PROPSETID_VIDCAP_DROPPEDFRAMES)
-
-typedef enum {
-  KSPROPERTY_DROPPEDFRAMES_CURRENT
-} KSPROPERTY_VIDCAP_DROPPEDFRAMES;
-
-typedef struct {
-  KSPROPERTY Property;
-  LONGLONG PictureNumber;
-  LONGLONG DropCount;
-  ULONG AverageFrameSize;
-} KSPROPERTY_DROPPEDFRAMES_CURRENT_S,*PKSPROPERTY_DROPPEDFRAMES_CURRENT_S;
-
-#define STATIC_KSPROPSETID_VPConfig					\
-	0xbc29a660L,0x30e3,0x11d0,0x9e,0x69,0x00,0xc0,0x4f,0xd7,0xc1,0x5b
-DEFINE_GUIDSTRUCT("bc29a660-30e3-11d0-9e69-00c04fd7c15b",KSPROPSETID_VPConfig);
-#define KSPROPSETID_VPConfig DEFINE_GUIDNAMED(KSPROPSETID_VPConfig)
-
-#define STATIC_KSPROPSETID_VPVBIConfig					\
-	0xec529b00L,0x1a1f,0x11d1,0xba,0xd9,0x0,0x60,0x97,0x44,0x11,0x1a
-DEFINE_GUIDSTRUCT("ec529b00-1a1f-11d1-bad9-00609744111a",KSPROPSETID_VPVBIConfig);
-#define KSPROPSETID_VPVBIConfig DEFINE_GUIDNAMED(KSPROPSETID_VPVBIConfig)
-
-typedef enum {
-  KSPROPERTY_VPCONFIG_NUMCONNECTINFO,
-  KSPROPERTY_VPCONFIG_GETCONNECTINFO,
-  KSPROPERTY_VPCONFIG_SETCONNECTINFO,
-  KSPROPERTY_VPCONFIG_VPDATAINFO,
-  KSPROPERTY_VPCONFIG_MAXPIXELRATE,
-  KSPROPERTY_VPCONFIG_INFORMVPINPUT,
-  KSPROPERTY_VPCONFIG_NUMVIDEOFORMAT,
-  KSPROPERTY_VPCONFIG_GETVIDEOFORMAT,
-  KSPROPERTY_VPCONFIG_SETVIDEOFORMAT,
-  KSPROPERTY_VPCONFIG_INVERTPOLARITY,
-  KSPROPERTY_VPCONFIG_DECIMATIONCAPABILITY,
-  KSPROPERTY_VPCONFIG_SCALEFACTOR,
-  KSPROPERTY_VPCONFIG_DDRAWHANDLE,
-  KSPROPERTY_VPCONFIG_VIDEOPORTID,
-  KSPROPERTY_VPCONFIG_DDRAWSURFACEHANDLE,
-  KSPROPERTY_VPCONFIG_SURFACEPARAMS
-} KSPROPERTY_VPCONFIG;
-
-#define STATIC_CLSID_KsIBasicAudioInterfaceHandler			\
-	0xb9f8ac3e,0x0f71,0x11d2,0xb7,0x2c,0x00,0xc0,0x4f,0xb6,0xbd,0x3d
-DEFINE_GUIDSTRUCT("b9f8ac3e-0f71-11d2-b72c-00c04fb6bd3d",CLSID_KsIBasicAudioInterfaceHandler);
-#define CLSID_KsIBasicAudioInterfaceHandler DEFINE_GUIDNAMED(CLSID_KsIBasicAudioInterfaceHandler)
-
-#ifdef __IVPType__
-typedef struct {
-  AMVPSIZE Size;
-  DWORD MaxPixelsPerSecond;
-  DWORD Reserved;
-} KSVPMAXPIXELRATE,*PKSVPMAXPIXELRATE;
-
-typedef struct {
-  KSPROPERTY Property;
-  AMVPSIZE Size;
-} KSVPSIZE_PROP,*PKSVPSIZE_PROP;
-
-typedef struct {
-  DWORD dwPitch;
-  DWORD dwXOrigin;
-  DWORD dwYOrigin;
-} KSVPSURFACEPARAMS,*PKSVPSURFACEPARAMS;
-#else /* __IVPType__ */
-
-#ifndef __DDRAW_INCLUDED__
-#define DDPF_FOURCC 0x00000004l
-
-typedef struct _DDPIXELFORMAT
-{
-  DWORD dwSize;
-  DWORD dwFlags;
-  DWORD dwFourCC;
-  __MINGW_EXTENSION union
-  {
-    DWORD dwRGBBitCount;
-    DWORD dwYUVBitCount;
-    DWORD dwZBufferBitDepth;
-    DWORD dwAlphaBitDepth;
-  };
-  __MINGW_EXTENSION union
-  {
-    DWORD dwRBitMask;
-    DWORD dwYBitMask;
-  };
-  __MINGW_EXTENSION union
-  {
-    DWORD dwGBitMask;
-    DWORD dwUBitMask;
-  };
-  __MINGW_EXTENSION union
-  {
-    DWORD dwBBitMask;
-    DWORD dwVBitMask;
-  };
-  __MINGW_EXTENSION union
-  {
-    DWORD dwRGBAlphaBitMask;
-    DWORD dwYUVAlphaBitMask;
-    DWORD dwRGBZBitMask;
-    DWORD dwYUVZBitMask;
-  };
-} DDPIXELFORMAT,*LPDDPIXELFORMAT;
-#endif /* __DDRAW_INCLUDED__ */
-
-#ifndef __DVP_INCLUDED__
-typedef struct _DDVIDEOPORTCONNECT {
-  DWORD dwSize;
-  DWORD dwPortWidth;
-  GUID guidTypeID;
-  DWORD dwFlags;
-  ULONG_PTR dwReserved1;
-} DDVIDEOPORTCONNECT,*LPDDVIDEOPORTCONNECT;
-
-#define DDVPTYPE_E_HREFH_VREFH						\
-	0x54F39980L,0xDA60,0x11CF,0x9B,0x06,0x00,0xA0,0xC9,0x03,0xA3,0xB8
-
-#define DDVPTYPE_E_HREFL_VREFL						\
-	0xE09C77E0L,0xDA60,0x11CF,0x9B,0x06,0x00,0xA0,0xC9,0x03,0xA3,0xB8
-#endif /* __DVP_INCLUDED__ */
-
-typedef enum
-{
-  KS_PixAspectRatio_NTSC4x3,
-  KS_PixAspectRatio_NTSC16x9,
-  KS_PixAspectRatio_PAL4x3,
-  KS_PixAspectRatio_PAL16x9
-} KS_AMPixAspectRatio;
-
-typedef enum
-{
-  KS_AMVP_DO_NOT_CARE,
-  KS_AMVP_BEST_BANDWIDTH,
-  KS_AMVP_INPUT_SAME_AS_OUTPUT
-} KS_AMVP_SELECTFORMATBY;
-
-typedef enum
-{
-  KS_AMVP_MODE_WEAVE,
-  KS_AMVP_MODE_BOBINTERLEAVED,
-  KS_AMVP_MODE_BOBNONINTERLEAVED,
-  KS_AMVP_MODE_SKIPEVEN,
-  KS_AMVP_MODE_SKIPODD
-} KS_AMVP_MODE;
-
-typedef struct tagKS_AMVPDIMINFO
-{
-  DWORD dwFieldWidth;
-  DWORD dwFieldHeight;
-  DWORD dwVBIWidth;
-  DWORD dwVBIHeight;
-  RECT rcValidRegion;
-} KS_AMVPDIMINFO,*PKS_AMVPDIMINFO;
-
-typedef struct tagKS_AMVPDATAINFO
-{
-  DWORD dwSize;
-  DWORD dwMicrosecondsPerField;
-  KS_AMVPDIMINFO amvpDimInfo;
-  DWORD dwPictAspectRatioX;
-  DWORD dwPictAspectRatioY;
-  WINBOOL bEnableDoubleClock;
-  WINBOOL bEnableVACT;
-  WINBOOL bDataIsInterlaced;
-  LONG lHalfLinesOdd;
-  WINBOOL bFieldPolarityInverted;
-  DWORD dwNumLinesInVREF;
-  LONG lHalfLinesEven;
-  DWORD dwReserved1;
-} KS_AMVPDATAINFO,*PKS_AMVPDATAINFO;
-
-typedef struct tagKS_AMVPSIZE
-{
-  DWORD dwWidth;
-  DWORD dwHeight;
-} KS_AMVPSIZE,*PKS_AMVPSIZE;
-
-typedef struct {
-  KS_AMVPSIZE Size;
-  DWORD MaxPixelsPerSecond;
-  DWORD Reserved;
-} KSVPMAXPIXELRATE,*PKSVPMAXPIXELRATE;
-
-typedef struct {
-  KSPROPERTY Property;
-  KS_AMVPSIZE Size;
-} KSVPSIZE_PROP,*PKSVPSIZE_PROP;
-
-typedef struct {
-  DWORD dwPitch;
-  DWORD dwXOrigin;
-  DWORD dwYOrigin;
-} KSVPSURFACEPARAMS,*PKSVPSURFACEPARAMS;
-#endif /* __IVPType__ */
-
-#define STATIC_KSEVENTSETID_VPNotify					\
-	0x20c5598eL,0xd3c8,0x11d0,0x8d,0xfc,0x00,0xc0,0x4f,0xd7,0xc0,0x8b
-DEFINE_GUIDSTRUCT("20c5598e-d3c8-11d0-8dfc-00c04fd7c08b",KSEVENTSETID_VPNotify);
-#define KSEVENTSETID_VPNotify DEFINE_GUIDNAMED(KSEVENTSETID_VPNotify)
-
-typedef enum {
-  KSEVENT_VPNOTIFY_FORMATCHANGE
-} KSEVENT_VPNOTIFY;
-
-#define STATIC_KSEVENTSETID_VIDCAPTOSTI					\
-	0xdb47de20,0xf628,0x11d1,0xba,0x41,0x0,0xa0,0xc9,0xd,0x2b,0x5
-DEFINE_GUIDSTRUCT("DB47DE20-F628-11d1-BA41-00A0C90D2B05",KSEVENTSETID_VIDCAPTOSTI);
-#define KSEVENTSETID_VIDCAPNotify DEFINE_GUIDNAMED(KSEVENTSETID_VIDCAPTOSTI)
-
-typedef enum {
-  KSEVENT_VIDCAPTOSTI_EXT_TRIGGER,
-  KSEVENT_VIDCAP_AUTO_UPDATE,
-  KSEVENT_VIDCAP_SEARCH
-} KSEVENT_VIDCAPTOSTI;
-
-typedef enum {
-  KSPROPERTY_EXTENSION_UNIT_INFO,
-  KSPROPERTY_EXTENSION_UNIT_CONTROL,
-  KSPROPERTY_EXTENSION_UNIT_PASS_THROUGH = 0xffff
-} KSPROPERTY_EXTENSION_UNIT,*PKSPROPERTY_EXTENSION_UNIT;
-
-#define STATIC_KSEVENTSETID_VPVBINotify					\
-	0xec529b01L,0x1a1f,0x11d1,0xba,0xd9,0x0,0x60,0x97,0x44,0x11,0x1a
-DEFINE_GUIDSTRUCT("ec529b01-1a1f-11d1-bad9-00609744111a",KSEVENTSETID_VPVBINotify);
-#define KSEVENTSETID_VPVBINotify DEFINE_GUIDNAMED(KSEVENTSETID_VPVBINotify)
-
-typedef enum {
-  KSEVENT_VPVBINOTIFY_FORMATCHANGE
-} KSEVENT_VPVBINOTIFY;
-
-#define STATIC_KSDATAFORMAT_TYPE_AUXLine21Data				\
-	0x670aea80L,0x3a82,0x11d0,0xb7,0x9b,0x00,0xaa,0x00,0x37,0x67,0xa7
-DEFINE_GUIDSTRUCT("670aea80-3a82-11d0-b79b-00aa003767a7",KSDATAFORMAT_TYPE_AUXLine21Data);
-#define KSDATAFORMAT_TYPE_AUXLine21Data DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_AUXLine21Data)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_Line21_BytePair			\
-	0x6e8d4a22L,0x310c,0x11d0,0xb7,0x9a,0x00,0xaa,0x00,0x37,0x67,0xa7
-DEFINE_GUIDSTRUCT("6e8d4a22-310c-11d0-b79a-00aa003767a7",KSDATAFORMAT_SUBTYPE_Line21_BytePair);
-#define KSDATAFORMAT_SUBTYPE_Line21_BytePair DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_Line21_BytePair)
-
-#define STATIC_KSDATAFORMAT_SUBTYPE_Line21_GOPPacket			\
-	0x6e8d4a23L,0x310c,0x11d0,0xb7,0x9a,0x00,0xaa,0x00,0x37,0x67,0xa7
-DEFINE_GUIDSTRUCT("6e8d4a23-310c-11d0-b79a-00aa003767a7",KSDATAFORMAT_SUBTYPE_Line21_GOPPacket);
-#define KSDATAFORMAT_SUBTYPE_Line21_GOPPacket DEFINE_GUIDNAMED(KSDATAFORMAT_SUBTYPE_Line21_GOPPacket)
-
-typedef struct _KSGOP_USERDATA {
-  ULONG sc;
-  ULONG reserved1;
-  BYTE cFields;
-  CHAR l21Data[3];
-} KSGOP_USERDATA,*PKSGOP_USERDATA;
-
-#define STATIC_KSDATAFORMAT_TYPE_DVD_ENCRYPTED_PACK			\
-	0xed0b916a,0x044d,0x11d1,0xaa,0x78,0x00,0xc0,0x4f,0xc3,0x1d,0x60
-DEFINE_GUIDSTRUCT("ed0b916a-044d-11d1-aa78-00c04fc31d60",KSDATAFORMAT_TYPE_DVD_ENCRYPTED_PACK);
-#define KSDATAFORMAT_TYPE_DVD_ENCRYPTED_PACK DEFINE_GUIDNAMED(KSDATAFORMAT_TYPE_DVD_ENCRYPTED_PACK)
-
-#define KS_AM_UseNewCSSKey			0x1
-
-#define STATIC_KSPROPSETID_TSRateChange					\
-	0xa503c5c0,0x1d1d,0x11d1,0xad,0x80,0x44,0x45,0x53,0x54,0x0,0x0
-DEFINE_GUIDSTRUCT("A503C5C0-1D1D-11D1-AD80-444553540000",KSPROPSETID_TSRateChange);
-#define KSPROPSETID_TSRateChange DEFINE_GUIDNAMED(KSPROPSETID_TSRateChange)
-
-typedef enum {
-  KS_AM_RATE_SimpleRateChange = 1,
-  KS_AM_RATE_ExactRateChange = 2,
-  KS_AM_RATE_MaxFullDataRate = 3,
-  KS_AM_RATE_Step = 4
-} KS_AM_PROPERTY_TS_RATE_CHANGE;
-
-typedef struct {
-  REFERENCE_TIME StartTime;
-  LONG Rate;
-} KS_AM_SimpleRateChange,*PKS_AM_SimpleRateChange;
-
-typedef struct {
-  REFERENCE_TIME OutputZeroTime;
-  LONG Rate;
-} KS_AM_ExactRateChange,*PKS_AM_ExactRateChange;
-
-typedef LONG KS_AM_MaxFullDataRate;
-typedef DWORD KS_AM_Step;
-
-#define STATIC_KSCATEGORY_ENCODER					\
-	0x19689bf6,0xc384,0x48fd,0xad,0x51,0x90,0xe5,0x8c,0x79,0xf7,0xb
-DEFINE_GUIDSTRUCT("19689BF6-C384-48fd-AD51-90E58C79F70B",KSCATEGORY_ENCODER);
-#define KSCATEGORY_ENCODER DEFINE_GUIDNAMED(KSCATEGORY_ENCODER)
-
-#define STATIC_KSCATEGORY_MULTIPLEXER					\
-	0x7a5de1d3,0x1a1,0x452c,0xb4,0x81,0x4f,0xa2,0xb9,0x62,0x71,0xe8
-DEFINE_GUIDSTRUCT("7A5DE1D3-01A1-452c-B481-4FA2B96271E8",KSCATEGORY_MULTIPLEXER);
-#define KSCATEGORY_MULTIPLEXER DEFINE_GUIDNAMED(KSCATEGORY_MULTIPLEXER)
-
-#ifndef __ENCODER_API_GUIDS__
-#define __ENCODER_API_GUIDS__
-
-#define STATIC_ENCAPIPARAM_BITRATE					\
-	0x49cc4c43,0xca83,0x4ad4,0xa9,0xaf,0xf3,0x69,0x6a,0xf6,0x66,0xdf
-DEFINE_GUIDSTRUCT("49CC4C43-CA83-4ad4-A9AF-F3696AF666DF",ENCAPIPARAM_BITRATE);
-#define ENCAPIPARAM_BITRATE DEFINE_GUIDNAMED(ENCAPIPARAM_BITRATE)
-
-#define STATIC_ENCAPIPARAM_PEAK_BITRATE					\
-	0x703f16a9,0x3d48,0x44a1,0xb0,0x77,0x1,0x8d,0xff,0x91,0x5d,0x19
-DEFINE_GUIDSTRUCT("703F16A9-3D48-44a1-B077-018DFF915D19",ENCAPIPARAM_PEAK_BITRATE);
-#define ENCAPIPARAM_PEAK_BITRATE DEFINE_GUIDNAMED(ENCAPIPARAM_PEAK_BITRATE)
-
-#define STATIC_ENCAPIPARAM_BITRATE_MODE					\
-	0xee5fb25c,0xc713,0x40d1,0x9d,0x58,0xc0,0xd7,0x24,0x1e,0x25,0xf
-DEFINE_GUIDSTRUCT("EE5FB25C-C713-40d1-9D58-C0D7241E250F",ENCAPIPARAM_BITRATE_MODE);
-#define ENCAPIPARAM_BITRATE_MODE DEFINE_GUIDNAMED(ENCAPIPARAM_BITRATE_MODE)
-
-#define STATIC_CODECAPI_CHANGELISTS					\
-	0x62b12acf,0xf6b0,0x47d9,0x94,0x56,0x96,0xf2,0x2c,0x4e,0x0b,0x9d
-DEFINE_GUIDSTRUCT("62B12ACF-F6B0-47D9-9456-96F22C4E0B9D",CODECAPI_CHANGELISTS);
-#define CODECAPI_CHANGELISTS DEFINE_GUIDNAMED(CODECAPI_CHANGELISTS)
-
-#define STATIC_CODECAPI_VIDEO_ENCODER					\
-	0x7112e8e1,0x3d03,0x47ef,0x8e,0x60,0x03,0xf1,0xcf,0x53,0x73,0x01
-DEFINE_GUIDSTRUCT("7112E8E1-3D03-47EF-8E60-03F1CF537301",CODECAPI_VIDEO_ENCODER);
-#define CODECAPI_VIDEO_ENCODER DEFINE_GUIDNAMED(CODECAPI_VIDEO_ENCODER)
-
-#define STATIC_CODECAPI_AUDIO_ENCODER					\
-	0xb9d19a3e,0xf897,0x429c,0xbc,0x46,0x81,0x38,0xb7,0x27,0x2b,0x2d
-DEFINE_GUIDSTRUCT("B9D19A3E-F897-429C-BC46-8138B7272B2D",CODECAPI_AUDIO_ENCODER);
-#define CODECAPI_AUDIO_ENCODER DEFINE_GUIDNAMED(CODECAPI_AUDIO_ENCODER)
-
-#define STATIC_CODECAPI_SETALLDEFAULTS					\
-	0x6c5e6a7c,0xacf8,0x4f55,0xa9,0x99,0x1a,0x62,0x81,0x09,0x05,0x1b
-DEFINE_GUIDSTRUCT("6C5E6A7C-ACF8-4F55-A999-1A628109051B",CODECAPI_SETALLDEFAULTS);
-#define CODECAPI_SETALLDEFAULTS DEFINE_GUIDNAMED(CODECAPI_SETALLDEFAULTS)
-
-#define STATIC_CODECAPI_ALLSETTINGS					\
-	0x6a577e92,0x83e1,0x4113,0xad,0xc2,0x4f,0xce,0xc3,0x2f,0x83,0xa1
-DEFINE_GUIDSTRUCT("6A577E92-83E1-4113-ADC2-4FCEC32F83A1",CODECAPI_ALLSETTINGS);
-#define CODECAPI_ALLSETTINGS DEFINE_GUIDNAMED(CODECAPI_ALLSETTINGS)
-
-#define STATIC_CODECAPI_SUPPORTSEVENTS					\
-	0x0581af97,0x7693,0x4dbd,0x9d,0xca,0x3f,0x9e,0xbd,0x65,0x85,0xa1
-DEFINE_GUIDSTRUCT("0581AF97-7693-4DBD-9DCA-3F9EBD6585A1",CODECAPI_SUPPORTSEVENTS);
-#define CODECAPI_SUPPORTSEVENTS DEFINE_GUIDNAMED(CODECAPI_SUPPORTSEVENTS)
-
-#define STATIC_CODECAPI_CURRENTCHANGELIST				\
-	0x1cb14e83,0x7d72,0x4657,0x83,0xfd,0x47,0xa2,0xc5,0xb9,0xd1,0x3d
-DEFINE_GUIDSTRUCT("1CB14E83-7D72-4657-83FD-47A2C5B9D13D",CODECAPI_CURRENTCHANGELIST);
-#define CODECAPI_CURRENTCHANGELIST DEFINE_GUIDNAMED(CODECAPI_CURRENTCHANGELIST)
-#endif /* __ENCODER_API_GUIDS__ */
-
-#ifndef __ENCODER_API_DEFINES__
-#define __ENCODER_API_DEFINES__
-typedef enum {
-  ConstantBitRate = 0,
-  VariableBitRateAverage,
-  VariableBitRatePeak
-} VIDEOENCODER_BITRATE_MODE;
-#endif /* __ENCODER_API_DEFINES__ */
-
-#define STATIC_KSPROPSETID_Jack\
-    0x4509f757, 0x2d46, 0x4637, 0x8e, 0x62, 0xce, 0x7d, 0xb9, 0x44, 0xf5, 0x7b
-DEFINE_GUIDSTRUCT("4509F757-2D46-4637-8E62-CE7DB944F57B", KSPROPSETID_Jack);
-#define KSPROPSETID_Jack DEFINE_GUIDNAMED(KSPROPSETID_Jack)
-
-typedef enum {
-    KSPROPERTY_JACK_DESCRIPTION = 1,
-    KSPROPERTY_JACK_DESCRIPTION2,
-    KSPROPERTY_JACK_SINK_INFO
-} KSPROPERTY_JACK;
-
-typedef enum
-{
-    eConnTypeUnknown,
-    eConnType3Point5mm,
-    eConnTypeQuarter,
-    eConnTypeAtapiInternal,
-    eConnTypeRCA,
-    eConnTypeOptical,
-    eConnTypeOtherDigital,
-    eConnTypeOtherAnalog,
-    eConnTypeMultichannelAnalogDIN,
-    eConnTypeXlrProfessional,
-    eConnTypeRJ11Modem,
-    eConnTypeCombination
-} EPcxConnectionType;
-
-typedef enum
-{
-    eGeoLocRear = 0x1,
-    eGeoLocFront,
-    eGeoLocLeft,
-    eGeoLocRight,
-    eGeoLocTop,
-    eGeoLocBottom,
-    eGeoLocRearPanel,
-    eGeoLocRiser,
-    eGeoLocInsideMobileLid,
-    eGeoLocDrivebay,
-    eGeoLocHDMI,
-    eGeoLocOutsideMobileLid,
-    eGeoLocATAPI,
-    eGeoLocReserved5,
-    eGeoLocReserved6,
-    EPcxGeoLocation_enum_count
-} EPcxGeoLocation;
-
-typedef enum
-{
-    eGenLocPrimaryBox = 0,
-    eGenLocInternal,
-    eGenLocSeparate,
-    eGenLocOther,
-    EPcxGenLocation_enum_count
-} EPcxGenLocation;
-
-typedef enum
-{
-    ePortConnJack = 0,
-    ePortConnIntegratedDevice,
-    ePortConnBothIntegratedAndJack,
-    ePortConnUnknown
-} EPxcPortConnection;
-
-typedef struct 
-{
-    DWORD                 ChannelMapping;
-    COLORREF              Color;
-    EPcxConnectionType    ConnectionType;
-    EPcxGeoLocation       GeoLocation;
-    EPcxGenLocation       GenLocation;
-    EPxcPortConnection    PortConnection;
-    BOOL                  IsConnected;
-} KSJACK_DESCRIPTION, *PKSJACK_DESCRIPTION;
-
-typedef enum 
-{
-    KSJACK_SINK_CONNECTIONTYPE_HDMI = 0,           
-    KSJACK_SINK_CONNECTIONTYPE_DISPLAYPORT,         
-} KSJACK_SINK_CONNECTIONTYPE;
-
-#define MAX_SINK_DESCRIPTION_NAME_LENGTH 32
-typedef struct _tagKSJACK_SINK_INFORMATION
-{
-  KSJACK_SINK_CONNECTIONTYPE ConnType;              
-  WORD  ManufacturerId;                            
-  WORD  ProductId;                                  
-  WORD  AudioLatency;                               
-  BOOL  HDCPCapable;                                
-  BOOL  AICapable;                                  
-  UCHAR SinkDescriptionLength;                      
-  WCHAR SinkDescription[MAX_SINK_DESCRIPTION_NAME_LENGTH];
-  LUID  PortId;                                 
-}  KSJACK_SINK_INFORMATION, *PKSJACK_SINK_INFORMATION;
-
-#define JACKDESC2_PRESENCE_DETECT_CAPABILITY       0x00000001 
-#define JACKDESC2_DYNAMIC_FORMAT_CHANGE_CAPABILITY 0x00000002
-
-typedef struct _tagKSJACK_DESCRIPTION2
-{
-  DWORD              DeviceStateInfo;
-  DWORD              JackCapabilities;
-} KSJACK_DESCRIPTION2, *PKSJACK_DESCRIPTION2;
-
-/* Additional structs for Windows Vista and later */
-typedef struct _tagKSRTAUDIO_BUFFER_PROPERTY {
-    KSPROPERTY  Property;
-    PVOID       BaseAddress;
-    ULONG       RequestedBufferSize;
-} KSRTAUDIO_BUFFER_PROPERTY, *PKSRTAUDIO_BUFFER_PROPERTY;
-
-typedef struct _tagKSRTAUDIO_BUFFER_PROPERTY_WITH_NOTIFICATION {
-    KSPROPERTY  Property;
-    PVOID       BaseAddress;
-    ULONG       RequestedBufferSize;
-    ULONG       NotificationCount;
-} KSRTAUDIO_BUFFER_PROPERTY_WITH_NOTIFICATION, *PKSRTAUDIO_BUFFER_PROPERTY_WITH_NOTIFICATION;
-
-typedef struct _tagKSRTAUDIO_BUFFER {
-    PVOID   BufferAddress;
-    ULONG   ActualBufferSize;
-    BOOL    CallMemoryBarrier;
-} KSRTAUDIO_BUFFER, *PKSRTAUDIO_BUFFER;
-
-typedef struct _tagKSRTAUDIO_HWLATENCY {
-    ULONG   FifoSize;
-    ULONG   ChipsetDelay;
-    ULONG   CodecDelay;
-} KSRTAUDIO_HWLATENCY, *PKSRTAUDIO_HWLATENCY;
-
-typedef struct _tagKSRTAUDIO_HWREGISTER_PROPERTY {
-    KSPROPERTY  Property;
-    PVOID       BaseAddress;
-} KSRTAUDIO_HWREGISTER_PROPERTY, *PKSRTAUDIO_HWREGISTER_PROPERTY;
-
-typedef struct _tagKSRTAUDIO_HWREGISTER {
-    PVOID       Register;
-    ULONG       Width;
-    ULONGLONG   Numerator;
-    ULONGLONG   Denominator;
-    ULONG       Accuracy;
-} KSRTAUDIO_HWREGISTER, *PKSRTAUDIO_HWREGISTER;
-
-typedef struct _tagKSRTAUDIO_NOTIFICATION_EVENT_PROPERTY {
-    KSPROPERTY  Property;
-    HANDLE      NotificationEvent;
-} KSRTAUDIO_NOTIFICATION_EVENT_PROPERTY, *PKSRTAUDIO_NOTIFICATION_EVENT_PROPERTY;
-
-
-#endif /* _KSMEDIA_ */
-
diff --git a/spaces/aodianyun/stable-diffusion-webui/extensions/deforum/scripts/deforum_helpers/src/clipseg/datasets/coco_wrapper.py b/spaces/aodianyun/stable-diffusion-webui/extensions/deforum/scripts/deforum_helpers/src/clipseg/datasets/coco_wrapper.py
deleted file mode 100644
index f88d98bb41ee23682a6aaea75a50a3b61e569304..0000000000000000000000000000000000000000
--- a/spaces/aodianyun/stable-diffusion-webui/extensions/deforum/scripts/deforum_helpers/src/clipseg/datasets/coco_wrapper.py
+++ /dev/null
@@ -1,99 +0,0 @@
-import pickle
-from types import new_class
-import torch
-import numpy as np
-import os
-import json
-
-from os.path import join, dirname, isdir, isfile, expanduser, realpath, basename
-from random import shuffle, seed as set_seed
-from PIL import Image
-
-from itertools import combinations
-from torchvision import transforms
-from torchvision.transforms.transforms import Resize
-
-from datasets.utils import blend_image_segmentation
-from general_utils import get_from_repository
-
-COCO_CLASSES = {0: 'person', 1: 'bicycle', 2: 'car', 3: 'motorcycle', 4: 'airplane', 5: 'bus', 6: 'train', 7: 'truck', 8: 'boat', 9: 'traffic light', 10: 'fire hydrant', 11: 'stop sign', 12: 'parking meter', 13: 'bench', 14: 'bird', 15: 'cat', 16: 'dog', 17: 'horse', 18: 'sheep', 19: 'cow', 20: 'elephant', 21: 'bear', 22: 'zebra', 23: 'giraffe', 24: 'backpack', 25: 'umbrella', 26: 'handbag', 27: 'tie', 28: 'suitcase', 29: 'frisbee', 30: 'skis', 31: 'snowboard', 32: 'sports ball', 33: 'kite', 34: 'baseball bat', 35: 'baseball glove', 36: 'skateboard', 37: 'surfboard', 38: 'tennis racket', 39: 'bottle', 40: 'wine glass', 41: 'cup', 42: 'fork', 43: 'knife', 44: 'spoon', 45: 'bowl', 46: 'banana', 47: 'apple', 48: 'sandwich', 49: 'orange', 50: 'broccoli', 51: 'carrot', 52: 'hot dog', 53: 'pizza', 54: 'donut', 55: 'cake', 56: 'chair', 57: 'couch', 58: 'potted plant', 59: 'bed', 60: 'dining table', 61: 'toilet', 62: 'tv', 63: 'laptop', 64: 'mouse', 65: 'remote', 66: 'keyboard', 67: 'cell phone', 68: 'microwave', 69: 'oven', 70: 'toaster', 71: 'sink', 72: 'refrigerator', 73: 'book', 74: 'clock', 75: 'vase', 76: 'scissors', 77: 'teddy bear', 78: 'hair drier', 79: 'toothbrush'}
-
-class COCOWrapper(object):
-
-    def __init__(self, split, fold=0, image_size=400, aug=None, mask='separate', negative_prob=0,
-                 with_class_label=False):
-        super().__init__()
-
-        self.mask = mask
-        self.with_class_label = with_class_label
-        self.negative_prob = negative_prob
-
-        from third_party.hsnet.data.coco import DatasetCOCO
-
-        get_from_repository('COCO-20i', ['COCO-20i.tar'])
-
-        foldpath = join(dirname(__file__), '../third_party/hsnet/data/splits/coco/%s/fold%d.pkl')
-
-        def build_img_metadata_classwise(self):
-            with open(foldpath % (self.split, self.fold), 'rb') as f:
-                img_metadata_classwise = pickle.load(f)
-            return img_metadata_classwise
-
-
-        DatasetCOCO.build_img_metadata_classwise = build_img_metadata_classwise
-        # DatasetCOCO.read_mask = read_mask
-        
-        mean = [0.485, 0.456, 0.406]
-        std = [0.229, 0.224, 0.225]
-        transform = transforms.Compose([
-            transforms.Resize((image_size, image_size)),
-            transforms.ToTensor(),
-            transforms.Normalize(mean, std)
-        ])
-
-        self.coco = DatasetCOCO(expanduser('~/datasets/COCO-20i/'), fold, transform, split, 1, False)
-    
-        self.all_classes = [self.coco.class_ids]
-        self.coco.base_path = join(expanduser('~/datasets/COCO-20i'))
-
-    def __len__(self):
-        return len(self.coco)
-
-    def __getitem__(self, i):
-        sample = self.coco[i]
-
-        label_name = COCO_CLASSES[int(sample['class_id'])]
-
-        img_s, seg_s = sample['support_imgs'][0], sample['support_masks'][0]
-
-        if self.negative_prob > 0 and torch.rand(1).item() < self.negative_prob:
-            new_class_id = sample['class_id']
-            while new_class_id == sample['class_id']:
-                sample2 = self.coco[torch.randint(0, len(self), (1,)).item()]
-                new_class_id = sample2['class_id']
-            img_s = sample2['support_imgs'][0]
-            seg_s = torch.zeros_like(seg_s)
-
-        mask = self.mask
-        if mask == 'separate':
-            supp = (img_s, seg_s)
-        elif mask == 'text_label':
-            # DEPRECATED
-            supp = [int(sample['class_id'])]
-        elif mask == 'text':
-            supp = [label_name]      
-        else:
-            if mask.startswith('text_and_'):
-                mask = mask[9:]
-                label_add = [label_name]
-            else:
-                label_add = []
-
-            supp = label_add + blend_image_segmentation(img_s, seg_s, mode=mask)
-
-        if self.with_class_label:
-            label = (torch.zeros(0), sample['class_id'],)
-        else:
-            label = (torch.zeros(0), )
-
-        return (sample['query_img'],) + tuple(supp), (sample['query_mask'].unsqueeze(0),) + label
\ No newline at end of file
diff --git a/spaces/aryadytm/photo-colorization/src/app_utils.py b/spaces/aryadytm/photo-colorization/src/app_utils.py
deleted file mode 100644
index 1dca9f1b020b274e6c2596cd4052bb797f59becf..0000000000000000000000000000000000000000
--- a/spaces/aryadytm/photo-colorization/src/app_utils.py
+++ /dev/null
@@ -1,131 +0,0 @@
-import os
-import requests
-import random
-import _thread as thread
-from uuid import uuid4
-import urllib
-
-import numpy as np
-import skimage
-from skimage.filters import gaussian
-from PIL import Image
-
-def compress_image(image, path_original):
-    size = 1920, 1080
-    width = 1920
-    height = 1080
-
-    name = os.path.basename(path_original).split('.')
-    first_name = os.path.join(os.path.dirname(path_original), name[0] + '.jpg')
-
-    if image.size[0] > width and image.size[1] > height:
-        image.thumbnail(size, Image.ANTIALIAS)
-        image.save(first_name, quality=85)
-    elif image.size[0] > width:
-        wpercent = (width/float(image.size[0]))
-        height = int((float(image.size[1])*float(wpercent)))
-        image = image.resize((width,height), Image.ANTIALIAS)
-        image.save(first_name,quality=85)
-    elif image.size[1] > height:
-        wpercent = (height/float(image.size[1]))
-        width = int((float(image.size[0])*float(wpercent)))
-        image = image.resize((width,height), Image.ANTIALIAS)
-        image.save(first_name, quality=85)
-    else:
-        image.save(first_name, quality=85)
-
-
-def convertToJPG(path_original):
-    img = Image.open(path_original)
-    name = os.path.basename(path_original).split('.')
-    first_name = os.path.join(os.path.dirname(path_original), name[0] + '.jpg')
-
-    if img.format == "JPEG":
-        image = img.convert('RGB')
-        compress_image(image, path_original)
-        img.close()
-
-    elif img.format == "GIF":
-        i = img.convert("RGBA")
-        bg = Image.new("RGBA", i.size)
-        image = Image.composite(i, bg, i)
-        compress_image(image, path_original)
-        img.close()
-
-    elif img.format == "PNG":
-        try:
-            image = Image.new("RGB", img.size, (255,255,255))
-            image.paste(img,img)
-            compress_image(image, path_original)
-        except ValueError:
-            image = img.convert('RGB')
-            compress_image(image, path_original)
-        
-        img.close()
-
-    elif img.format == "BMP":
-        image = img.convert('RGB')
-        compress_image(image, path_original)
-        img.close()
-
-
-
-def blur(image, x0, x1, y0, y1, sigma=1, multichannel=True):
-    y0, y1 = min(y0, y1), max(y0, y1)
-    x0, x1 = min(x0, x1), max(x0, x1)
-    im = image.copy()
-    sub_im = im[y0:y1,x0:x1].copy()
-    blur_sub_im = gaussian(sub_im, sigma=sigma, multichannel=multichannel)
-    blur_sub_im = np.round(255 * blur_sub_im)
-    im[y0:y1,x0:x1] = blur_sub_im
-    return im
-
-
-
-def download(url, filename):
-    data = requests.get(url).content
-    with open(filename, 'wb') as handler:
-        handler.write(data)
-
-    return filename
-
-
-def generate_random_filename(upload_directory, extension):
-    filename = str(uuid4())
-    filename = os.path.join(upload_directory, filename + "." + extension)
-    return filename
-
-
-def clean_me(filename):
-    if os.path.exists(filename):
-        os.remove(filename)
-
-
-def clean_all(files):
-    for me in files:
-        clean_me(me)
-
-
-def create_directory(path):
-    os.makedirs(os.path.dirname(path), exist_ok=True)
-
-
-def get_model_bin(url, output_path):
-    # print('Getting model dir: ', output_path)
-    if not os.path.exists(output_path):
-        create_directory(output_path)
-
-        urllib.request.urlretrieve(url, output_path)
-
-        # cmd = "wget -O %s %s" % (output_path, url)
-        # print(cmd)
-        # os.system(cmd)
-
-    return output_path
-
-
-#model_list = [(url, output_path), (url, output_path)]
-def get_multi_model_bin(model_list):
-    for m in model_list:
-        thread.start_new_thread(get_model_bin, m)
-
diff --git a/spaces/asgaardlab/DatasetPreviewer/README.md b/spaces/asgaardlab/DatasetPreviewer/README.md
deleted file mode 100644
index 48c6ee725b04c0075107eaf3a2dcdba211842393..0000000000000000000000000000000000000000
--- a/spaces/asgaardlab/DatasetPreviewer/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: DatasetPreviewer
-emoji: 🐢
-colorFrom: purple
-colorTo: gray
-sdk: gradio
-sdk_version: 3.46.1
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/ashercn97/AsherTesting/modules/github.py b/spaces/ashercn97/AsherTesting/modules/github.py
deleted file mode 100644
index 454e9d239b8c08af3fea005e0ea1ce172080280d..0000000000000000000000000000000000000000
--- a/spaces/ashercn97/AsherTesting/modules/github.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import os
-import subprocess
-
-
-def clone_or_pull_repository(github_url):
-    repository_folder = "extensions"
-    repo_name = github_url.split("/")[-1].split(".")[0]
-
-    # Check if the repository folder exists
-    if not os.path.exists(repository_folder):
-        os.makedirs(repository_folder)
-
-    repo_path = os.path.join(repository_folder, repo_name)
-
-    # Check if the repository is already cloned
-    if os.path.exists(repo_path):
-        yield f"Updating {github_url}..."
-        # Perform a 'git pull' to update the repository
-        try:
-            pull_output = subprocess.check_output(["git", "-C", repo_path, "pull"], stderr=subprocess.STDOUT)
-            yield "Done."
-            return pull_output.decode()
-        except subprocess.CalledProcessError as e:
-            return str(e)
-
-    # Clone the repository
-    try:
-        yield f"Cloning {github_url}..."
-        clone_output = subprocess.check_output(["git", "clone", github_url, repo_path], stderr=subprocess.STDOUT)
-        yield "Done."
-        return clone_output.decode()
-    except subprocess.CalledProcessError as e:
-        return str(e)
diff --git a/spaces/avirathtibrewala/YTToText/share_btn.py b/spaces/avirathtibrewala/YTToText/share_btn.py
deleted file mode 100644
index 9c79af4b3320a7cc66dd5c9f840d2efef28db271..0000000000000000000000000000000000000000
--- a/spaces/avirathtibrewala/YTToText/share_btn.py
+++ /dev/null
@@ -1,180 +0,0 @@
-community_icon_html = """<svg id="share-btn-share-icon" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32">
-    <path d="M20.6081 3C21.7684 3 22.8053 3.49196 23.5284 4.38415C23.9756 4.93678 24.4428 5.82749 24.4808 7.16133C24.9674 7.01707 25.4353 6.93643 25.8725 6.93643C26.9833 6.93643 27.9865 7.37587 28.696 8.17411C29.6075 9.19872 30.0124 10.4579 29.8361 11.7177C29.7523 12.3177 29.5581 12.8555 29.2678 13.3534C29.8798 13.8646 30.3306 14.5763 30.5485 15.4322C30.719 16.1032 30.8939 17.5006 29.9808 18.9403C30.0389 19.0342 30.0934 19.1319 30.1442 19.2318C30.6932 20.3074 30.7283 21.5229 30.2439 22.6548C29.5093 24.3704 27.6841 25.7219 24.1397 27.1727C21.9347 28.0753 19.9174 28.6523 19.8994 28.6575C16.9842 29.4379 14.3477 29.8345 12.0653 29.8345C7.87017 29.8345 4.8668 28.508 3.13831 25.8921C0.356375 21.6797 0.754104 17.8269 4.35369 14.1131C6.34591 12.058 7.67023 9.02782 7.94613 8.36275C8.50224 6.39343 9.97271 4.20438 12.4172 4.20438H12.4179C12.6236 4.20438 12.8314 4.2214 13.0364 4.25468C14.107 4.42854 15.0428 5.06476 15.7115 6.02205C16.4331 5.09583 17.134 4.359 17.7682 3.94323C18.7242 3.31737 19.6794 3 20.6081 3ZM20.6081 5.95917C20.2427 5.95917 19.7963 6.1197 19.3039 6.44225C17.7754 7.44319 14.8258 12.6772 13.7458 14.7131C13.3839 15.3952 12.7655 15.6837 12.2086 15.6837C11.1036 15.6837 10.2408 14.5497 12.1076 13.1085C14.9146 10.9402 13.9299 7.39584 12.5898 7.1776C12.5311 7.16799 12.4731 7.16355 12.4172 7.16355C11.1989 7.16355 10.6615 9.33114 10.6615 9.33114C10.6615 9.33114 9.0863 13.4148 6.38031 16.206C3.67434 18.998 3.5346 21.2388 5.50675 24.2246C6.85185 26.2606 9.42666 26.8753 12.0653 26.8753C14.8021 26.8753 17.6077 26.2139 19.1799 25.793C19.2574 25.7723 28.8193 22.984 27.6081 20.6107C27.4046 20.212 27.0693 20.0522 26.6471 20.0522C24.9416 20.0522 21.8393 22.6726 20.5057 22.6726C20.2076 22.6726 19.9976 22.5416 19.9116 22.222C19.3433 20.1173 28.552 19.2325 27.7758 16.1839C27.639 15.6445 27.2677 15.4256 26.746 15.4263C24.4923 15.4263 19.4358 19.5181 18.3759 19.5181C18.2949 19.5181 18.2368 19.4937 18.2053 19.4419C17.6743 18.557 17.9653 17.9394 21.7082 15.6009C25.4511 13.2617 28.0783 11.8545 26.5841 10.1752C26.4121 9.98141 26.1684 9.8956 25.8725 9.8956C23.6001 9.89634 18.2311 14.9403 18.2311 14.9403C18.2311 14.9403 16.7821 16.496 15.9057 16.496C15.7043 16.496 15.533 16.4139 15.4169 16.2112C14.7956 15.1296 21.1879 10.1286 21.5484 8.06535C21.7928 6.66715 21.3771 5.95917 20.6081 5.95917Z" fill="#FF9D00"></path>
-    <path d="M5.50686 24.2246C3.53472 21.2387 3.67446 18.9979 6.38043 16.206C9.08641 13.4147 10.6615 9.33111 10.6615 9.33111C10.6615 9.33111 11.2499 6.95933 12.59 7.17757C13.93 7.39581 14.9139 10.9401 12.1069 13.1084C9.29997 15.276 12.6659 16.7489 13.7459 14.713C14.8258 12.6772 17.7747 7.44316 19.304 6.44221C20.8326 5.44128 21.9089 6.00204 21.5484 8.06532C21.188 10.1286 14.795 15.1295 15.4171 16.2118C16.0391 17.2934 18.2312 14.9402 18.2312 14.9402C18.2312 14.9402 25.0907 8.49588 26.5842 10.1752C28.0776 11.8545 25.4512 13.2616 21.7082 15.6008C17.9646 17.9393 17.6744 18.557 18.2054 19.4418C18.7372 20.3266 26.9998 13.1351 27.7759 16.1838C28.5513 19.2324 19.3434 20.1173 19.9117 22.2219C20.48 24.3274 26.3979 18.2382 27.6082 20.6107C28.8193 22.9839 19.2574 25.7722 19.18 25.7929C16.0914 26.62 8.24723 28.3726 5.50686 24.2246Z" fill="#FFD21E"></path>
-</svg>"""
-
-loading_icon_html = """<svg id="share-btn-loading-icon" style="display:none;" class="animate-spin"
-   style="color: #ffffff; 
-"
-   xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" fill="none" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 24 24"><circle style="opacity: 0.25;" cx="12" cy="12" r="10" stroke="white" stroke-width="4"></circle><path style="opacity: 0.75;" fill="white" d="M4 12a8 8 0 018-8V0C5.373 0 0 5.373 0 12h4zm2 5.291A7.962 7.962 0 014 12H0c0 3.042 1.135 5.824 3 7.938l3-2.647z"></path></svg>"""
-
-share_js = """async () => {
-	async function uploadFile(file){
-		const UPLOAD_URL = 'https://huggingface.co/uploads';
-		const response = await fetch(UPLOAD_URL, {
-			method: 'POST',
-			headers: {
-				'Content-Type': 'audio/wav',
-				'X-Requested-With': 'XMLHttpRequest',
-			},
-			body: file, /// <- File inherits from Blob
-		});
-		const url = await response.text();
-		return url;
-	}
-	function audioResample(buffer, sampleRate){
-		const offlineCtx = new OfflineAudioContext(2, (buffer.length / buffer.sampleRate) * sampleRate, sampleRate);
-		const source = offlineCtx.createBufferSource();
-		source.buffer = buffer;
-		source.connect(offlineCtx.destination);
-		source.start();
-		return offlineCtx.startRendering();
-	};
-	function audioReduceChannels(buffer, targetChannelOpt){
-		if(targetChannelOpt === 'both' || buffer.numberOfChannels < 2) return buffer;
-		const outBuffer = new AudioBuffer({
-			sampleRate: buffer.sampleRate, 
-			length: buffer.length, 
-			numberOfChannels: 1
-		});
-		const data = [buffer.getChannelData(0), buffer.getChannelData(1)];
-		const newData = new Float32Array(buffer.length);
-		for(let i = 0; i < buffer.length; ++i)
-			newData[i] = 
-				targetChannelOpt === 'left'? data[0][i] :
-				targetChannelOpt === 'right'? data[1][i] :
-				(data[0][i] + data[1][i]) / 2 ;
-		outBuffer.copyToChannel(newData, 0);
-		return outBuffer;
-	};
-	function audioNormalize(buffer){
-		const data = Array.from(Array(buffer.numberOfChannels)).map((_, idx) => buffer.getChannelData(idx));
-		const maxAmplitude = Math.max(...data.map(chan => chan.reduce((acc, cur) => Math.max(acc, Math.abs(cur)), 0)));
-		if(maxAmplitude >= 1.0) return buffer;
-		const coeff = 1.0 / maxAmplitude;
-		data.forEach(chan => {
-			chan.forEach((v, idx) => chan[idx] = v*coeff);
-			buffer.copyToChannel(chan, 0);
-		});
-		return buffer;
-	};
-	async function processAudioFile(
-		audioBufferIn,
-		targetChannelOpt,
-		targetSampleRate
-	) {
-		const resampled = await audioResample(audioBufferIn, targetSampleRate);
-		const reduced = audioReduceChannels(resampled, targetChannelOpt);
-		const normalized = audioNormalize(reduced);
-		return normalized;
-	}
-	function audioToRawWave(audioChannels, bytesPerSample, mixChannels=false) {
-		const bufferLength = audioChannels[0].length;
-		const numberOfChannels = audioChannels.length === 1 ? 1 : 2;
-		const reducedData = new Uint8Array(
-			bufferLength * numberOfChannels * bytesPerSample
-		);
-		for (let i = 0; i < bufferLength; ++i) {
-			for (
-				let channel = 0;
-				channel < (mixChannels ? 1 : numberOfChannels);
-				++channel
-			) {
-				const outputIndex = (i * numberOfChannels + channel) * bytesPerSample;
-				let sample;
-				if (!mixChannels) sample = audioChannels[channel][i];
-				else
-					sample =
-						audioChannels.reduce((prv, cur) => prv + cur[i], 0) /
-						numberOfChannels;
-				sample = sample > 1 ? 1 : sample < -1 ? -1 : sample; //check for clipping
-				//bit reduce and convert to Uint8
-				switch (bytesPerSample) {
-					case 2:
-						sample = sample * 32767;
-						reducedData[outputIndex] = sample;
-						reducedData[outputIndex + 1] = sample >> 8;
-						break;
-					case 1:
-						reducedData[outputIndex] = (sample + 1) * 127;
-						break;
-					default:
-						throw "Only 8, 16 bits per sample are supported";
-				}
-			}
-		}
-		return reducedData;
-	}
-	function makeWav(data, channels, sampleRate, bytesPerSample) {
-		const headerLength = 44;
-		var wav = new Uint8Array(headerLength + data.length);
-		var view = new DataView(wav.buffer);
-		view.setUint32(0, 1380533830, false); // RIFF identifier 'RIFF'
-		view.setUint32(4, 36 + data.length, true); // file length minus RIFF identifier length and file description length
-		view.setUint32(8, 1463899717, false); // RIFF type 'WAVE'
-		view.setUint32(12, 1718449184, false); // format chunk identifier 'fmt '
-		view.setUint32(16, 16, true); // format chunk length
-		view.setUint16(20, 1, true); // sample format (raw)
-		view.setUint16(22, channels, true); // channel count
-		view.setUint32(24, sampleRate, true); // sample rate
-		view.setUint32(28, sampleRate * bytesPerSample * channels, true); // byte rate (sample rate * block align)
-		view.setUint16(32, bytesPerSample * channels, true); // block align (channel count * bytes per sample)
-		view.setUint16(34, bytesPerSample * 8, true); // bits per sample
-		view.setUint32(36, 1684108385, false); // data chunk identifier 'data'
-		view.setUint32(40, data.length, true); // data chunk length
-		wav.set(data, headerLength);
-		return new Blob([wav.buffer], { type: "audio/wav" });
-	}
-    const gradioEl = document.querySelector('body > gradio-app');
-    const audioEl = gradioEl.querySelector('audio');
-    const resultTxt = gradioEl.querySelector('#result-textarea textarea').value;
-    const shareBtnEl = gradioEl.querySelector('#share-btn');
-    const shareIconEl = gradioEl.querySelector('#share-btn-share-icon');
-    const loadingIconEl = gradioEl.querySelector('#share-btn-loading-icon');
-    if(!audioEl){
-        return;
-    };
-    shareBtnEl.style.pointerEvents = 'none';
-    shareIconEl.style.display = 'none';
-    loadingIconEl.style.removeProperty('display');
-    const res = await fetch(audioEl.src);
-    const blob = await res.blob();
-    const channelOpt = "both";
-    const sampleRate = 48000;
-    const bytesPerSample = 1; // or 2
-    const audioBufferIn = await new AudioContext().decodeAudioData(
-        await blob.arrayBuffer()
-    );
-    const audioBuffer = await processAudioFile(
-        audioBufferIn,
-        channelOpt,
-        sampleRate
-    );
-    const rawData = audioToRawWave(
-        channelOpt === "both"
-            ? [audioBuffer.getChannelData(0), audioBuffer.getChannelData(1)]
-            : [audioBuffer.getChannelData(0)],
-        bytesPerSample
-    );
-    const blobWav = makeWav(
-        rawData,
-        channelOpt === "both" ? 2 : 1,
-        sampleRate,
-        bytesPerSample
-    );
-    const fileName = `whisper-demo-input.wav`;
-    const audioFile = new File([blobWav], fileName, { type: 'audio/wav' });
-    const url = await uploadFile(audioFile);
-	const descriptionMd = `#### Input audio:
-<audio controls src='${url}'></audio>
-#### Transcription:
-> ${resultTxt}`;
-    const params = new URLSearchParams({
-        description: descriptionMd,
-    });
-	const paramsStr = params.toString();
-	window.open(`https://huggingface.co/spaces/openai/whisper/discussions/new?${paramsStr}`, '_blank');
-    shareBtnEl.style.removeProperty('pointer-events');
-    shareIconEl.style.removeProperty('display');
-    loadingIconEl.style.display = 'none';
-}"""
\ No newline at end of file
diff --git a/spaces/awacke1/AI.Dashboard.Gradio.Streamlit.HTML5/README.md b/spaces/awacke1/AI.Dashboard.Gradio.Streamlit.HTML5/README.md
deleted file mode 100644
index 9c369933485d92ad7a0c760683e52b208f4b4279..0000000000000000000000000000000000000000
--- a/spaces/awacke1/AI.Dashboard.Gradio.Streamlit.HTML5/README.md
+++ /dev/null
@@ -1,11 +0,0 @@
----
-title: AI.Dashboard.Gradio.Streamlit.HTML5
-emoji: 🏃
-colorFrom: red
-colorTo: gray
-sdk: static
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/awacke1/DigitalCity/0d343d2d6a85b10bff5a18cd9d60d9d8.js b/spaces/awacke1/DigitalCity/0d343d2d6a85b10bff5a18cd9d60d9d8.js
deleted file mode 100644
index 62abcc952ece991a63ae96cd390cd8a5e1cef319..0000000000000000000000000000000000000000
--- a/spaces/awacke1/DigitalCity/0d343d2d6a85b10bff5a18cd9d60d9d8.js
+++ /dev/null
@@ -1,7 +0,0 @@
-function unityFramework(Module) {
-var Module=typeof Module!=="undefined"?Module:{};;var stackTraceReference="(^|\\n)(\\s+at\\s+|)jsStackTrace(\\s+\\(|@)([^\\n]+):\\d+:\\d+(\\)|)(\\n|$)";var stackTraceReferenceMatch=jsStackTrace().match(new RegExp(stackTraceReference));if(stackTraceReferenceMatch)Module.stackTraceRegExp=new RegExp(stackTraceReference.replace("([^\\n]+)",stackTraceReferenceMatch[4].replace(/[\\^${}[\]().*+?|]/g,"\\$&")).replace("jsStackTrace","[^\\n]+"));var abort=(function(what){if(ABORT)return;ABORT=true;EXITSTATUS=1;if(typeof ENVIRONMENT_IS_PTHREAD!=="undefined"&&ENVIRONMENT_IS_PTHREAD)console.error("Pthread aborting at "+(new Error).stack);if(what!==undefined){out(what);err(what);what=JSON.stringify(what)}else{what=""}var message="abort("+what+") at "+stackTrace();if(Module.abortHandler&&Module.abortHandler(message))return;throw message});if(typeof ENVIRONMENT_IS_PTHREAD==="undefined"||!ENVIRONMENT_IS_PTHREAD){Module["preRun"].push((function(){var unityFileSystemInit=Module["unityFileSystemInit"]||(function(){FS.mkdir("/idbfs");FS.mount(IDBFS,{},"/idbfs");Module.addRunDependency("JS_FileSystem_Mount");FS.syncfs(true,(function(err){if(err)console.log("IndexedDB is not available. Data will not persist in cache and PlayerPrefs will not be saved.");Module.removeRunDependency("JS_FileSystem_Mount")}))});unityFileSystemInit()}))}Module["SetFullscreen"]=(function(fullscreen){if(typeof runtimeInitialized==="undefined"||!runtimeInitialized){console.log("Runtime not initialized yet.")}else if(typeof JSEvents==="undefined"){console.log("Player not loaded yet.")}else{var tmp=JSEvents.canPerformEventHandlerRequests;JSEvents.canPerformEventHandlerRequests=(function(){return 1});Module.ccall("SetFullscreen",null,["number"],[fullscreen]);JSEvents.canPerformEventHandlerRequests=tmp}});var MediaDevices=[];if(typeof ENVIRONMENT_IS_PTHREAD==="undefined"||!ENVIRONMENT_IS_PTHREAD){Module["preRun"].push((function(){var enumerateMediaDevices=(function(){var getMedia=navigator.getUserMedia||navigator.webkitGetUserMedia||navigator.mozGetUserMedia||navigator.msGetUserMedia;if(!getMedia)return;function addDevice(label){label=label?label:"device #"+MediaDevices.length;var device={deviceName:label,refCount:0,video:null};MediaDevices.push(device)}if(!navigator.mediaDevices||!navigator.mediaDevices.enumerateDevices){if(typeof MediaStreamTrack=="undefined"||typeof MediaStreamTrack.getSources=="undefined"){console.log("Media Devices cannot be enumerated on this browser.");return}function gotSources(sourceInfos){for(var i=0;i!==sourceInfos.length;++i){var sourceInfo=sourceInfos[i];if(sourceInfo.kind==="video")addDevice(sourceInfo.label)}}MediaStreamTrack.getSources(gotSources)}navigator.mediaDevices.enumerateDevices().then((function(devices){devices.forEach((function(device){if(device.kind=="videoinput")addDevice(device.label)}))})).catch((function(err){console.log(err.name+": "+error.message)}))});enumerateMediaDevices()}))}function SendMessage(gameObject,func,param){if(param===undefined)Module.ccall("SendMessage",null,["string","string"],[gameObject,func]);else if(typeof param==="string")Module.ccall("SendMessageString",null,["string","string","string"],[gameObject,func,param]);else if(typeof param==="number")Module.ccall("SendMessageFloat",null,["string","string","number"],[gameObject,func,param]);else throw""+param+" is does not have a type which is supported by SendMessage."}Module["SendMessage"]=SendMessage;var moduleOverrides={};var key;for(key in Module){if(Module.hasOwnProperty(key)){moduleOverrides[key]=Module[key]}}Module["arguments"]=[];Module["thisProgram"]="./this.program";Module["quit"]=(function(status,toThrow){throw toThrow});Module["preRun"]=[];Module["postRun"]=[];var ENVIRONMENT_IS_WEB=false;var ENVIRONMENT_IS_WORKER=false;var ENVIRONMENT_IS_NODE=false;var ENVIRONMENT_IS_SHELL=false;ENVIRONMENT_IS_WEB=typeof window==="object";ENVIRONMENT_IS_WORKER=typeof importScripts==="function";ENVIRONMENT_IS_NODE=typeof process==="object"&&typeof require==="function"&&!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_WORKER;ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;var scriptDirectory="";function locateFile(path){if(Module["locateFile"]){return Module["locateFile"](path,scriptDirectory)}else{return scriptDirectory+path}}if(ENVIRONMENT_IS_NODE){scriptDirectory=__dirname+"/";var nodeFS;var nodePath;Module["read"]=function shell_read(filename,binary){var ret;if(!nodeFS)nodeFS=require("fs");if(!nodePath)nodePath=require("path");filename=nodePath["normalize"](filename);ret=nodeFS["readFileSync"](filename);return binary?ret:ret.toString()};Module["readBinary"]=function readBinary(filename){var ret=Module["read"](filename,true);if(!ret.buffer){ret=new Uint8Array(ret)}assert(ret.buffer);return ret};if(process["argv"].length>1){Module["thisProgram"]=process["argv"][1].replace(/\\/g,"/")}Module["arguments"]=process["argv"].slice(2);if(typeof module!=="undefined"){module["exports"]=Module}process["on"]("uncaughtException",(function(ex){if(!(ex instanceof ExitStatus)){throw ex}}));process["on"]("unhandledRejection",(function(reason,p){process["exit"](1)}));Module["quit"]=(function(status){process["exit"](status)});Module["inspect"]=(function(){return"[Emscripten Module object]"})}else if(ENVIRONMENT_IS_SHELL){if(typeof read!="undefined"){Module["read"]=function shell_read(f){return read(f)}}Module["readBinary"]=function readBinary(f){var data;if(typeof readbuffer==="function"){return new Uint8Array(readbuffer(f))}data=read(f,"binary");assert(typeof data==="object");return data};if(typeof scriptArgs!="undefined"){Module["arguments"]=scriptArgs}else if(typeof arguments!="undefined"){Module["arguments"]=arguments}if(typeof quit==="function"){Module["quit"]=(function(status){quit(status)})}}else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(ENVIRONMENT_IS_WEB){if(document.currentScript){scriptDirectory=document.currentScript.src}}else{scriptDirectory=self.location.href}if(scriptDirectory.indexOf("blob:")!==0){scriptDirectory=scriptDirectory.split("/").slice(0,-1).join("/")+"/"}else{scriptDirectory=""}Module["read"]=function shell_read(url){var xhr=new XMLHttpRequest;xhr.open("GET",url,false);xhr.send(null);return xhr.responseText};if(ENVIRONMENT_IS_WORKER){Module["readBinary"]=function readBinary(url){var xhr=new XMLHttpRequest;xhr.open("GET",url,false);xhr.responseType="arraybuffer";xhr.send(null);return new Uint8Array(xhr.response)}}Module["readAsync"]=function readAsync(url,onload,onerror){var xhr=new XMLHttpRequest;xhr.open("GET",url,true);xhr.responseType="arraybuffer";xhr.onload=function xhr_onload(){if(xhr.status==200||xhr.status==0&&xhr.response){onload(xhr.response);return}onerror()};xhr.onerror=onerror;xhr.send(null)};Module["setWindowTitle"]=(function(title){document.title=title})}else{}var out=Module["print"]||(typeof console!=="undefined"?console.log.bind(console):typeof print!=="undefined"?print:null);var err=Module["printErr"]||(typeof printErr!=="undefined"?printErr:typeof console!=="undefined"&&console.warn.bind(console)||out);for(key in moduleOverrides){if(moduleOverrides.hasOwnProperty(key)){Module[key]=moduleOverrides[key]}}moduleOverrides=undefined;var STACK_ALIGN=16;function staticAlloc(size){var ret=STATICTOP;STATICTOP=STATICTOP+size+15&-16;return ret}function dynamicAlloc(size){var ret=HEAP32[DYNAMICTOP_PTR>>2];var end=ret+size+15&-16;HEAP32[DYNAMICTOP_PTR>>2]=end;if(end>=TOTAL_MEMORY){var success=enlargeMemory();if(!success){HEAP32[DYNAMICTOP_PTR>>2]=ret;return 0}}return ret}function alignMemory(size,factor){if(!factor)factor=STACK_ALIGN;var ret=size=Math.ceil(size/factor)*factor;return ret}function getNativeTypeSize(type){switch(type){case"i1":case"i8":return 1;case"i16":return 2;case"i32":return 4;case"i64":return 8;case"float":return 4;case"double":return 8;default:{if(type[type.length-1]==="*"){return 4}else if(type[0]==="i"){var bits=parseInt(type.substr(1));assert(bits%8===0);return bits/8}else{return 0}}}}function warnOnce(text){if(!warnOnce.shown)warnOnce.shown={};if(!warnOnce.shown[text]){warnOnce.shown[text]=1;err(text)}}var asm2wasmImports={"f64-rem":(function(x,y){return x%y}),"debugger":(function(){debugger})};var jsCallStartIndex=1;var functionPointers=new Array(0);function addFunction(func,sig){var base=0;for(var i=base;i<base+0;i++){if(!functionPointers[i]){functionPointers[i]=func;return jsCallStartIndex+i}}throw"Finished up all reserved function pointers. Use a higher value for RESERVED_FUNCTION_POINTERS."}var funcWrappers={};function getFuncWrapper(func,sig){if(!func)return;assert(sig);if(!funcWrappers[sig]){funcWrappers[sig]={}}var sigCache=funcWrappers[sig];if(!sigCache[func]){if(sig.length===1){sigCache[func]=function dynCall_wrapper(){return dynCall(sig,func)}}else if(sig.length===2){sigCache[func]=function dynCall_wrapper(arg){return dynCall(sig,func,[arg])}}else{sigCache[func]=function dynCall_wrapper(){return dynCall(sig,func,Array.prototype.slice.call(arguments))}}}return sigCache[func]}function makeBigInt(low,high,unsigned){return unsigned?+(low>>>0)+ +(high>>>0)*4294967296:+(low>>>0)+ +(high|0)*4294967296}function dynCall(sig,ptr,args){if(args&&args.length){return Module["dynCall_"+sig].apply(null,[ptr].concat(args))}else{return Module["dynCall_"+sig].call(null,ptr)}}var GLOBAL_BASE=1024;var ABORT=0;var EXITSTATUS=0;function assert(condition,text){if(!condition){abort("Assertion failed: "+text)}}function getCFunc(ident){var func=Module["_"+ident];assert(func,"Cannot call unknown function "+ident+", make sure it is exported");return func}var JSfuncs={"stackSave":(function(){stackSave()}),"stackRestore":(function(){stackRestore()}),"arrayToC":(function(arr){var ret=stackAlloc(arr.length);writeArrayToMemory(arr,ret);return ret}),"stringToC":(function(str){var ret=0;if(str!==null&&str!==undefined&&str!==0){var len=(str.length<<2)+1;ret=stackAlloc(len);stringToUTF8(str,ret,len)}return ret})};var toC={"string":JSfuncs["stringToC"],"array":JSfuncs["arrayToC"]};function ccall(ident,returnType,argTypes,args,opts){function convertReturnValue(ret){if(returnType==="string")return Pointer_stringify(ret);if(returnType==="boolean")return Boolean(ret);return ret}var func=getCFunc(ident);var cArgs=[];var stack=0;if(args){for(var i=0;i<args.length;i++){var converter=toC[argTypes[i]];if(converter){if(stack===0)stack=stackSave();cArgs[i]=converter(args[i])}else{cArgs[i]=args[i]}}}var ret=func.apply(null,cArgs);ret=convertReturnValue(ret);if(stack!==0)stackRestore(stack);return ret}function cwrap(ident,returnType,argTypes,opts){argTypes=argTypes||[];var numericArgs=argTypes.every((function(type){return type==="number"}));var numericRet=returnType!=="string";if(numericRet&&numericArgs&&!opts){return getCFunc(ident)}return(function(){return ccall(ident,returnType,argTypes,arguments,opts)})}function setValue(ptr,value,type,noSafe){type=type||"i8";if(type.charAt(type.length-1)==="*")type="i32";switch(type){case"i1":HEAP8[ptr>>0]=value;break;case"i8":HEAP8[ptr>>0]=value;break;case"i16":HEAP16[ptr>>1]=value;break;case"i32":HEAP32[ptr>>2]=value;break;case"i64":tempI64=[value>>>0,(tempDouble=value,+Math_abs(tempDouble)>=1?tempDouble>0?(Math_min(+Math_floor(tempDouble/4294967296),4294967295)|0)>>>0:~~+Math_ceil((tempDouble- +(~~tempDouble>>>0))/4294967296)>>>0:0)],HEAP32[ptr>>2]=tempI64[0],HEAP32[ptr+4>>2]=tempI64[1];break;case"float":HEAPF32[ptr>>2]=value;break;case"double":HEAPF64[ptr>>3]=value;break;default:abort("invalid type for setValue: "+type)}}var ALLOC_NORMAL=0;var ALLOC_STACK=1;var ALLOC_STATIC=2;var ALLOC_NONE=4;function allocate(slab,types,allocator,ptr){var zeroinit,size;if(typeof slab==="number"){zeroinit=true;size=slab}else{zeroinit=false;size=slab.length}var singleType=typeof types==="string"?types:null;var ret;if(allocator==ALLOC_NONE){ret=ptr}else{ret=[typeof _malloc==="function"?_malloc:staticAlloc,stackAlloc,staticAlloc,dynamicAlloc][allocator===undefined?ALLOC_STATIC:allocator](Math.max(size,singleType?1:types.length))}if(zeroinit){var stop;ptr=ret;assert((ret&3)==0);stop=ret+(size&~3);for(;ptr<stop;ptr+=4){HEAP32[ptr>>2]=0}stop=ret+size;while(ptr<stop){HEAP8[ptr++>>0]=0}return ret}if(singleType==="i8"){if(slab.subarray||slab.slice){HEAPU8.set(slab,ret)}else{HEAPU8.set(new Uint8Array(slab),ret)}return ret}var i=0,type,typeSize,previousType;while(i<size){var curr=slab[i];type=singleType||types[i];if(type===0){i++;continue}if(type=="i64")type="i32";setValue(ret+i,curr,type);if(previousType!==type){typeSize=getNativeTypeSize(type);previousType=type}i+=typeSize}return ret}function getMemory(size){if(!staticSealed)return staticAlloc(size);if(!runtimeInitialized)return dynamicAlloc(size);return _malloc(size)}function Pointer_stringify(ptr,length){if(length===0||!ptr)return"";var hasUtf=0;var t;var i=0;while(1){t=HEAPU8[ptr+i>>0];hasUtf|=t;if(t==0&&!length)break;i++;if(length&&i==length)break}if(!length)length=i;var ret="";if(hasUtf<128){var MAX_CHUNK=1024;var curr;while(length>0){curr=String.fromCharCode.apply(String,HEAPU8.subarray(ptr,ptr+Math.min(length,MAX_CHUNK)));ret=ret?ret+curr:curr;ptr+=MAX_CHUNK;length-=MAX_CHUNK}return ret}return UTF8ToString(ptr)}var UTF8Decoder=typeof TextDecoder!=="undefined"?new TextDecoder("utf8"):undefined;function UTF8ArrayToString(u8Array,idx){var endPtr=idx;while(u8Array[endPtr])++endPtr;if(endPtr-idx>16&&u8Array.subarray&&UTF8Decoder){return UTF8Decoder.decode(u8Array.subarray(idx,endPtr))}else{var u0,u1,u2,u3,u4,u5;var str="";while(1){u0=u8Array[idx++];if(!u0)return str;if(!(u0&128)){str+=String.fromCharCode(u0);continue}u1=u8Array[idx++]&63;if((u0&224)==192){str+=String.fromCharCode((u0&31)<<6|u1);continue}u2=u8Array[idx++]&63;if((u0&240)==224){u0=(u0&15)<<12|u1<<6|u2}else{u3=u8Array[idx++]&63;if((u0&248)==240){u0=(u0&7)<<18|u1<<12|u2<<6|u3}else{u4=u8Array[idx++]&63;if((u0&252)==248){u0=(u0&3)<<24|u1<<18|u2<<12|u3<<6|u4}else{u5=u8Array[idx++]&63;u0=(u0&1)<<30|u1<<24|u2<<18|u3<<12|u4<<6|u5}}}if(u0<65536){str+=String.fromCharCode(u0)}else{var ch=u0-65536;str+=String.fromCharCode(55296|ch>>10,56320|ch&1023)}}}}function UTF8ToString(ptr){return UTF8ArrayToString(HEAPU8,ptr)}function stringToUTF8Array(str,outU8Array,outIdx,maxBytesToWrite){if(!(maxBytesToWrite>0))return 0;var startIdx=outIdx;var endIdx=outIdx+maxBytesToWrite-1;for(var i=0;i<str.length;++i){var u=str.charCodeAt(i);if(u>=55296&&u<=57343){var u1=str.charCodeAt(++i);u=65536+((u&1023)<<10)|u1&1023}if(u<=127){if(outIdx>=endIdx)break;outU8Array[outIdx++]=u}else if(u<=2047){if(outIdx+1>=endIdx)break;outU8Array[outIdx++]=192|u>>6;outU8Array[outIdx++]=128|u&63}else if(u<=65535){if(outIdx+2>=endIdx)break;outU8Array[outIdx++]=224|u>>12;outU8Array[outIdx++]=128|u>>6&63;outU8Array[outIdx++]=128|u&63}else if(u<=2097151){if(outIdx+3>=endIdx)break;outU8Array[outIdx++]=240|u>>18;outU8Array[outIdx++]=128|u>>12&63;outU8Array[outIdx++]=128|u>>6&63;outU8Array[outIdx++]=128|u&63}else if(u<=67108863){if(outIdx+4>=endIdx)break;outU8Array[outIdx++]=248|u>>24;outU8Array[outIdx++]=128|u>>18&63;outU8Array[outIdx++]=128|u>>12&63;outU8Array[outIdx++]=128|u>>6&63;outU8Array[outIdx++]=128|u&63}else{if(outIdx+5>=endIdx)break;outU8Array[outIdx++]=252|u>>30;outU8Array[outIdx++]=128|u>>24&63;outU8Array[outIdx++]=128|u>>18&63;outU8Array[outIdx++]=128|u>>12&63;outU8Array[outIdx++]=128|u>>6&63;outU8Array[outIdx++]=128|u&63}}outU8Array[outIdx]=0;return outIdx-startIdx}function stringToUTF8(str,outPtr,maxBytesToWrite){return stringToUTF8Array(str,HEAPU8,outPtr,maxBytesToWrite)}function lengthBytesUTF8(str){var len=0;for(var i=0;i<str.length;++i){var u=str.charCodeAt(i);if(u>=55296&&u<=57343)u=65536+((u&1023)<<10)|str.charCodeAt(++i)&1023;if(u<=127){++len}else if(u<=2047){len+=2}else if(u<=65535){len+=3}else if(u<=2097151){len+=4}else if(u<=67108863){len+=5}else{len+=6}}return len}var UTF16Decoder=typeof TextDecoder!=="undefined"?new TextDecoder("utf-16le"):undefined;function allocateUTF8(str){var size=lengthBytesUTF8(str)+1;var ret=_malloc(size);if(ret)stringToUTF8Array(str,HEAP8,ret,size);return ret}function allocateUTF8OnStack(str){var size=lengthBytesUTF8(str)+1;var ret=stackAlloc(size);stringToUTF8Array(str,HEAP8,ret,size);return ret}function demangle(func){return func}function demangleAll(text){var regex=/__Z[\w\d_]+/g;return text.replace(regex,(function(x){var y=demangle(x);return x===y?x:x+" ["+y+"]"}))}function jsStackTrace(){var err=new Error;if(!err.stack){try{throw new Error(0)}catch(e){err=e}if(!err.stack){return"(no stack trace available)"}}return err.stack.toString()}function stackTrace(){var js=jsStackTrace();if(Module["extraStackTrace"])js+="\n"+Module["extraStackTrace"]();return demangleAll(js)}var PAGE_SIZE=16384;var WASM_PAGE_SIZE=65536;var ASMJS_PAGE_SIZE=16777216;var MIN_TOTAL_MEMORY=16777216;function alignUp(x,multiple){if(x%multiple>0){x+=multiple-x%multiple}return x}var buffer,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64;function updateGlobalBuffer(buf){Module["buffer"]=buffer=buf}function updateGlobalBufferViews(){Module["HEAP8"]=HEAP8=new Int8Array(buffer);Module["HEAP16"]=HEAP16=new Int16Array(buffer);Module["HEAP32"]=HEAP32=new Int32Array(buffer);Module["HEAPU8"]=HEAPU8=new Uint8Array(buffer);Module["HEAPU16"]=HEAPU16=new Uint16Array(buffer);Module["HEAPU32"]=HEAPU32=new Uint32Array(buffer);Module["HEAPF32"]=HEAPF32=new Float32Array(buffer);Module["HEAPF64"]=HEAPF64=new Float64Array(buffer)}var STATIC_BASE,STATICTOP,staticSealed;var STACK_BASE,STACKTOP,STACK_MAX;var DYNAMIC_BASE,DYNAMICTOP_PTR;STATIC_BASE=STATICTOP=STACK_BASE=STACKTOP=STACK_MAX=DYNAMIC_BASE=DYNAMICTOP_PTR=0;staticSealed=false;function abortOnCannotGrowMemory(){abort("Cannot enlarge memory arrays. Either (1) compile with  -s TOTAL_MEMORY=X  with X higher than the current value "+TOTAL_MEMORY+", (2) compile with  -s ALLOW_MEMORY_GROWTH=1  which allows increasing the size at runtime, or (3) if you want malloc to return NULL (0) instead of this abort, compile with  -s ABORTING_MALLOC=0 ")}if(!Module["reallocBuffer"])Module["reallocBuffer"]=(function(size){var ret;try{if(ArrayBuffer.transfer){ret=ArrayBuffer.transfer(buffer,size)}else{var oldHEAP8=HEAP8;ret=new ArrayBuffer(size);var temp=new Int8Array(ret);temp.set(oldHEAP8)}}catch(e){return false}var success=_emscripten_replace_memory(ret);if(!success)return false;return ret});function enlargeMemory(){var PAGE_MULTIPLE=Module["usingWasm"]?WASM_PAGE_SIZE:ASMJS_PAGE_SIZE;var LIMIT=2147483648-PAGE_MULTIPLE;if(HEAP32[DYNAMICTOP_PTR>>2]>LIMIT){return false}var OLD_TOTAL_MEMORY=TOTAL_MEMORY;TOTAL_MEMORY=Math.max(TOTAL_MEMORY,MIN_TOTAL_MEMORY);while(TOTAL_MEMORY<HEAP32[DYNAMICTOP_PTR>>2]){if(TOTAL_MEMORY<=536870912){TOTAL_MEMORY=alignUp(2*TOTAL_MEMORY,PAGE_MULTIPLE)}else{TOTAL_MEMORY=Math.min(alignUp((3*TOTAL_MEMORY+2147483648)/4,PAGE_MULTIPLE),LIMIT)}}var replacement=Module["reallocBuffer"](TOTAL_MEMORY);if(!replacement||replacement.byteLength!=TOTAL_MEMORY){TOTAL_MEMORY=OLD_TOTAL_MEMORY;return false}updateGlobalBuffer(replacement);updateGlobalBufferViews();return true}var byteLength;try{byteLength=Function.prototype.call.bind(Object.getOwnPropertyDescriptor(ArrayBuffer.prototype,"byteLength").get);byteLength(new ArrayBuffer(4))}catch(e){byteLength=(function(buffer){return buffer.byteLength})}var TOTAL_STACK=Module["TOTAL_STACK"]||5242880;var TOTAL_MEMORY=Module["TOTAL_MEMORY"]||33554432;if(TOTAL_MEMORY<TOTAL_STACK)err("TOTAL_MEMORY should be larger than TOTAL_STACK, was "+TOTAL_MEMORY+"! (TOTAL_STACK="+TOTAL_STACK+")");if(Module["buffer"]){buffer=Module["buffer"]}else{if(typeof WebAssembly==="object"&&typeof WebAssembly.Memory==="function"){Module["wasmMemory"]=new WebAssembly.Memory({"initial":TOTAL_MEMORY/WASM_PAGE_SIZE});buffer=Module["wasmMemory"].buffer}else{buffer=new ArrayBuffer(TOTAL_MEMORY)}Module["buffer"]=buffer}updateGlobalBufferViews();function getTotalMemory(){return TOTAL_MEMORY}function callRuntimeCallbacks(callbacks){while(callbacks.length>0){var callback=callbacks.shift();if(typeof callback=="function"){callback();continue}var func=callback.func;if(typeof func==="number"){if(callback.arg===undefined){Module["dynCall_v"](func)}else{Module["dynCall_vi"](func,callback.arg)}}else{func(callback.arg===undefined?null:callback.arg)}}}var __ATPRERUN__=[];var __ATINIT__=[];var __ATMAIN__=[];var __ATEXIT__=[];var __ATPOSTRUN__=[];var runtimeInitialized=false;var runtimeExited=false;function preRun(){if(Module["preRun"]){if(typeof Module["preRun"]=="function")Module["preRun"]=[Module["preRun"]];while(Module["preRun"].length){addOnPreRun(Module["preRun"].shift())}}callRuntimeCallbacks(__ATPRERUN__)}function ensureInitRuntime(){if(runtimeInitialized)return;runtimeInitialized=true;callRuntimeCallbacks(__ATINIT__)}function preMain(){callRuntimeCallbacks(__ATMAIN__)}function exitRuntime(){callRuntimeCallbacks(__ATEXIT__);runtimeExited=true}function postRun(){if(Module["postRun"]){if(typeof Module["postRun"]=="function")Module["postRun"]=[Module["postRun"]];while(Module["postRun"].length){addOnPostRun(Module["postRun"].shift())}}callRuntimeCallbacks(__ATPOSTRUN__)}function addOnPreRun(cb){__ATPRERUN__.unshift(cb)}function addOnPostRun(cb){__ATPOSTRUN__.unshift(cb)}function writeArrayToMemory(array,buffer){HEAP8.set(array,buffer)}function writeAsciiToMemory(str,buffer,dontAddNull){for(var i=0;i<str.length;++i){HEAP8[buffer++>>0]=str.charCodeAt(i)}if(!dontAddNull)HEAP8[buffer>>0]=0}function 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_JS_Sound_GetLoadState(bufferInstance){if(WEBAudio.audioWebEnabled==0)return 2;var sound=WEBAudio.audioInstances[bufferInstance];if(sound.error)return 2;if(sound.buffer)return 0;return 1}function _JS_Sound_Init(){try{window.AudioContext=window.AudioContext||window.webkitAudioContext;WEBAudio.audioContext=new AudioContext;var tryToResumeAudioContext=(function(){if(WEBAudio.audioContext.state==="suspended")WEBAudio.audioContext.resume();else Module.clearInterval(resumeInterval)});var resumeInterval=Module.setInterval(tryToResumeAudioContext,400);WEBAudio.audioWebEnabled=1}catch(e){alert("Web Audio API is not supported in this browser")}}function _JS_Sound_Load(ptr,length){if(WEBAudio.audioWebEnabled==0)return 0;var sound={buffer:null,error:false};var instance=WEBAudio.audioInstances.push(sound)-1;var audioData=HEAPU8.buffer.slice(ptr,ptr+length);WEBAudio.audioContext.decodeAudioData(audioData,(function(buffer){sound.buffer=buffer}),(function(){sound.error=true;console.log("Decode error.")}));return instance}function _JS_Sound_Load_PCM(channels,length,sampleRate,ptr){if(WEBAudio.audioWebEnabled==0)return 0;var sound={buffer:WEBAudio.audioContext.createBuffer(channels,length,sampleRate),error:false};for(var i=0;i<channels;i++){var offs=(ptr>>2)+length*i;var buffer=sound.buffer;var copyToChannel=buffer["copyToChannel"]||(function(source,channelNumber,startInChannel){var clipped=source.subarray(0,Math.min(source.length,this.length-(startInChannel|0)));this.getChannelData(channelNumber|0).set(clipped,startInChannel|0)});copyToChannel.apply(buffer,[HEAPF32.subarray(offs,offs+length),i,0])}var instance=WEBAudio.audioInstances.push(sound)-1;return instance}function _JS_Sound_Play(bufferInstance,channelInstance,offset,delay){_JS_Sound_Stop(channelInstance,0);if(WEBAudio.audioWebEnabled==0)return;var sound=WEBAudio.audioInstances[bufferInstance];var channel=WEBAudio.audioInstances[channelInstance];if(sound.buffer){try{channel.playBuffer(WEBAudio.audioContext.currentTime+delay,sound.buffer,offset)}catch(e){console.error("playBuffer error. Exception: "+e)}}else console.log("Trying to play sound which is not loaded.")}function _JS_Sound_ReleaseInstance(instance){WEBAudio.audioInstances[instance]=null}function _JS_Sound_ResumeIfNeeded(){if(WEBAudio.audioWebEnabled==0)return;if(WEBAudio.audioContext.state==="suspended")WEBAudio.audioContext.resume()}function _JS_Sound_Set3D(channelInstance,threeD){var channel=WEBAudio.audioInstances[channelInstance];if(channel.threeD!=threeD){channel.threeD=threeD;channel.setupPanning()}}function _JS_Sound_SetListenerOrientation(x,y,z,xUp,yUp,zUp){if(WEBAudio.audioWebEnabled==0)return;if(WEBAudio.audioContext.listener.forwardX){WEBAudio.audioContext.listener.forwardX.setValueAtTime(-x,WEBAudio.audioContext.currentTime);WEBAudio.audioContext.listener.forwardY.setValueAtTime(-y,WEBAudio.audioContext.currentTime);WEBAudio.audioContext.listener.forwardZ.setValueAtTime(-z,WEBAudio.audioContext.currentTime);WEBAudio.audioContext.listener.upX.setValueAtTime(xUp,WEBAudio.audioContext.currentTime);WEBAudio.audioContext.listener.upY.setValueAtTime(yUp,WEBAudio.audioContext.currentTime);WEBAudio.audioContext.listener.upZ.setValueAtTime(zUp,WEBAudio.audioContext.currentTime)}else{WEBAudio.audioContext.listener.setOrientation(-x,-y,-z,xUp,yUp,zUp)}}function _JS_Sound_SetListenerPosition(x,y,z){if(WEBAudio.audioWebEnabled==0)return;if(WEBAudio.audioContext.listener.positionX){WEBAudio.audioContext.listener.positionX.setValueAtTime(x,WEBAudio.audioContext.currentTime);WEBAudio.audioContext.listener.positionY.setValueAtTime(y,WEBAudio.audioContext.currentTime);WEBAudio.audioContext.listener.positionZ.setValueAtTime(z,WEBAudio.audioContext.currentTime)}else{WEBAudio.audioContext.listener.setPosition(x,y,z)}}function _JS_Sound_SetLoop(channelInstance,loop){if(WEBAudio.audioWebEnabled==0)return;WEBAudio.audioInstances[channelInstance].source.loop=loop}function _JS_Sound_SetLoopPoints(channelInstance,loopStart,loopEnd){if(WEBAudio.audioWebEnabled==0)return;var channel=WEBAudio.audioInstances[channelInstance];channel.source.loopStart=loopStart;channel.source.loopEnd=loopEnd}function _JS_Sound_SetPitch(channelInstance,v){if(WEBAudio.audioWebEnabled==0)return;try{WEBAudio.audioInstances[channelInstance].source.playbackRate.setValueAtTime(v,WEBAudio.audioContext.currentTime)}catch(e){console.error("Invalid audio pitch "+v+" specified to WebAudio backend!")}}function _JS_Sound_SetPosition(channelInstance,x,y,z){if(WEBAudio.audioWebEnabled==0)return;WEBAudio.audioInstances[channelInstance].panner.setPosition(x,y,z)}function _JS_Sound_SetVolume(channelInstance,v){if(WEBAudio.audioWebEnabled==0)return;try{WEBAudio.audioInstances[channelInstance].gain.gain.setValueAtTime(v,WEBAudio.audioContext.currentTime)}catch(e){console.error("Invalid audio volume "+v+" specified to WebAudio backend!")}}function _JS_Sound_Stop(channelInstance,delay){if(WEBAudio.audioWebEnabled==0)return;var channel=WEBAudio.audioInstances[channelInstance];if(channel.source.buffer){try{channel.source.stop(WEBAudio.audioContext.currentTime+delay)}catch(e){channel.source.disconnect()}if(delay==0){channel.source.onended=(function(){});channel.setup()}}}function _JS_SystemInfo_GetCanvasClientSize(domElementSelector,outWidth,outHeight){var selector=UTF8ToString(domElementSelector);var canvas=selector=="#canvas"?Module["canvas"]:document.querySelector(selector);HEAPF64[outWidth>>3]=canvas?canvas.clientWidth:0;HEAPF64[outHeight>>3]=canvas?canvas.clientHeight:0}function _JS_SystemInfo_GetDocumentURL(buffer,bufferSize){if(buffer)stringToUTF8(document.URL,buffer,bufferSize);return lengthBytesUTF8(document.URL)}function _JS_SystemInfo_GetGPUInfo(buffer,bufferSize){var gpuinfo=Module.SystemInfo.gpu;if(buffer)stringToUTF8(gpuinfo,buffer,bufferSize);return lengthBytesUTF8(gpuinfo)}function _JS_SystemInfo_GetMemory(){return TOTAL_MEMORY/(1024*1024)}function _JS_SystemInfo_GetOS(buffer,bufferSize){var browser=Module.SystemInfo.os+" "+Module.SystemInfo.osVersion;if(buffer)stringToUTF8(browser,buffer,bufferSize);return lengthBytesUTF8(browser)}function _JS_SystemInfo_GetPreferredDevicePixelRatio(){return Module.devicePixelRatio||window.devicePixelRatio||1}function _JS_SystemInfo_GetScreenSize(outWidth,outHeight){HEAPF64[outWidth>>3]=Module.SystemInfo.width;HEAPF64[outHeight>>3]=Module.SystemInfo.height}function _JS_SystemInfo_HasCursorLock(){return Module.SystemInfo.hasCursorLock}function _JS_SystemInfo_HasFullscreen(){return Module.SystemInfo.hasFullscreen}function _JS_SystemInfo_HasWebGL(){return Module.SystemInfo.hasWebGL}function _JS_SystemInfo_IsMobile(){return Module.SystemInfo.mobile}var wr={requestInstances:{},nextRequestId:1};function _JS_WebRequest_Abort(request){wr.requestInstances[request].abort()}function _JS_WebRequest_Create(url,method){var _url=Pointer_stringify(url);var _method=Pointer_stringify(method);var http=Module.companyName&&Module.productName&&Module.XMLHttpRequest?new Module.XMLHttpRequest({companyName:Module.companyName,productName:Module.productName,cacheControl:Module.cacheControl(_url)}):new XMLHttpRequest;http.open(_method,_url,true);http.responseType="arraybuffer";wr.requestInstances[wr.nextRequestId]=http;return wr.nextRequestId++}function _JS_WebRequest_GetResponseHeaders(request,buffer,bufferSize){var headers=wr.requestInstances[request].getAllResponseHeaders();if(buffer)stringToUTF8(headers,buffer,bufferSize);return lengthBytesUTF8(headers)}function _JS_WebRequest_Release(request){var http=wr.requestInstances[request];http.onload=null;http.onerror=null;http.ontimeout=null;http.onabort=null;delete http;wr.requestInstances[request]=null}function _JS_WebRequest_Send(request,ptr,length){var http=wr.requestInstances[request];try{if(length>0){var postData=HEAPU8.subarray(ptr,ptr+length);http.send(postData)}else http.send()}catch(e){console.error(e.name+": "+e.message)}}function _JS_WebRequest_SetProgressHandler(request,arg,onprogress){var http=wr.requestInstances[request];http.onprogress=function http_onprogress(e){if(onprogress){if(e.lengthComputable)dynCall("viii",onprogress,[arg,e.loaded,e.total])}}}function _JS_WebRequest_SetRequestHeader(request,header,value){var _header=Pointer_stringify(header);var _value=Pointer_stringify(value);wr.requestInstances[request].setRequestHeader(_header,_value)}function _JS_WebRequest_SetResponseHandler(request,arg,onresponse){var http=wr.requestInstances[request];http.onload=function http_onload(e){if(onresponse){var kWebRequestOK=0;var byteArray=new Uint8Array(http.response);if(byteArray.length!=0){var buffer=_malloc(byteArray.length);HEAPU8.set(byteArray,buffer);dynCall("viiiiii",onresponse,[arg,http.status,buffer,byteArray.length,0,kWebRequestOK])}else{dynCall("viiiiii",onresponse,[arg,http.status,0,0,0,kWebRequestOK])}}};function HandleError(err,code){if(onresponse){var len=lengthBytesUTF8(err)+1;var buffer=_malloc(len);stringToUTF8(err,buffer,len);dynCall("viiiiii",onresponse,[arg,http.status,0,0,buffer,code]);_free(buffer)}}http.onerror=function http_onerror(e){var kWebErrorUnknown=2;HandleError("Unknown error.",kWebErrorUnknown)};http.ontimeout=function http_onerror(e){var kWebErrorTimeout=14;HandleError("Connection timed out.",kWebErrorTimeout)};http.onabort=function http_onerror(e){var kWebErrorAborted=17;HandleError("Aborted.",kWebErrorAborted)}}function _JS_WebRequest_SetTimeout(request,timeout){wr.requestInstances[request].timeout=timeout}function ___atomic_compare_exchange_8(ptr,expected,desiredl,desiredh,weak,success_memmodel,failure_memmodel){var pl=HEAP32[ptr>>2];var ph=HEAP32[ptr+4>>2];var el=HEAP32[expected>>2];var eh=HEAP32[expected+4>>2];if(pl===el&&ph===eh){HEAP32[ptr>>2]=desiredl;HEAP32[ptr+4>>2]=desiredh;return 1}else{HEAP32[expected>>2]=pl;HEAP32[expected+4>>2]=ph;return 0}}function ___atomic_fetch_add_8(ptr,vall,valh,memmodel){var l=HEAP32[ptr>>2];var h=HEAP32[ptr+4>>2];HEAP32[ptr>>2]=_i64Add(l,h,vall,valh);HEAP32[ptr+4>>2]=getTempRet0();return(setTempRet0(h),l)|0}var ENV={};function ___buildEnvironment(environ){var MAX_ENV_VALUES=64;var TOTAL_ENV_SIZE=1024;var poolPtr;var envPtr;if(!___buildEnvironment.called){___buildEnvironment.called=true;ENV["USER"]=ENV["LOGNAME"]="web_user";ENV["PATH"]="/";ENV["PWD"]="/";ENV["HOME"]="/home/web_user";ENV["LANG"]="C.UTF-8";ENV["_"]=Module["thisProgram"];poolPtr=getMemory(TOTAL_ENV_SIZE);envPtr=getMemory(MAX_ENV_VALUES*4);HEAP32[envPtr>>2]=poolPtr;HEAP32[environ>>2]=envPtr}else{envPtr=HEAP32[environ>>2];poolPtr=HEAP32[envPtr>>2]}var strings=[];var totalSize=0;for(var key in ENV){if(typeof ENV[key]==="string"){var line=key+"="+ENV[key];strings.push(line);totalSize+=line.length}}if(totalSize>TOTAL_ENV_SIZE){throw new Error("Environment size exceeded TOTAL_ENV_SIZE!")}var ptrSize=4;for(var i=0;i<strings.length;i++){var line=strings[i];writeAsciiToMemory(line,poolPtr);HEAP32[envPtr+i*ptrSize>>2]=poolPtr;poolPtr+=line.length+1}HEAP32[envPtr+strings.length*ptrSize>>2]=0}function ___cxa_allocate_exception(size){return _malloc(size)}function __ZSt18uncaught_exceptionv(){return!!__ZSt18uncaught_exceptionv.uncaught_exception}var EXCEPTIONS={last:0,caught:[],infos:{},deAdjust:(function(adjusted){if(!adjusted||EXCEPTIONS.infos[adjusted])return adjusted;for(var key in EXCEPTIONS.infos){var ptr=+key;var info=EXCEPTIONS.infos[ptr];if(info.adjusted===adjusted){return ptr}}return adjusted}),addRef:(function(ptr){if(!ptr)return;var info=EXCEPTIONS.infos[ptr];info.refcount++}),decRef:(function(ptr){if(!ptr)return;var info=EXCEPTIONS.infos[ptr];assert(info.refcount>0);info.refcount--;if(info.refcount===0&&!info.rethrown){if(info.destructor){Module["dynCall_vi"](info.destructor,ptr)}delete EXCEPTIONS.infos[ptr];___cxa_free_exception(ptr)}}),clearRef:(function(ptr){if(!ptr)return;var info=EXCEPTIONS.infos[ptr];info.refcount=0})};function ___cxa_begin_catch(ptr){var info=EXCEPTIONS.infos[ptr];if(info&&!info.caught){info.caught=true;__ZSt18uncaught_exceptionv.uncaught_exception--}if(info)info.rethrown=false;EXCEPTIONS.caught.push(ptr);EXCEPTIONS.addRef(EXCEPTIONS.deAdjust(ptr));return ptr}function ___cxa_free_exception(ptr){try{return _free(ptr)}catch(e){}}function ___cxa_end_catch(){Module["setThrew"](0);var ptr=EXCEPTIONS.caught.pop();if(ptr){EXCEPTIONS.decRef(EXCEPTIONS.deAdjust(ptr));EXCEPTIONS.last=0}}function ___cxa_find_matching_catch_2(){return ___cxa_find_matching_catch.apply(null,arguments)}function ___cxa_find_matching_catch_3(){return ___cxa_find_matching_catch.apply(null,arguments)}function ___cxa_find_matching_catch_4(){return ___cxa_find_matching_catch.apply(null,arguments)}function ___cxa_pure_virtual(){ABORT=true;throw"Pure virtual function called!"}function ___cxa_rethrow(){var ptr=EXCEPTIONS.caught.pop();ptr=EXCEPTIONS.deAdjust(ptr);if(!EXCEPTIONS.infos[ptr].rethrown){EXCEPTIONS.caught.push(ptr);EXCEPTIONS.infos[ptr].rethrown=true}EXCEPTIONS.last=ptr;throw ptr}function ___resumeException(ptr){if(!EXCEPTIONS.last){EXCEPTIONS.last=ptr}throw ptr}function ___cxa_find_matching_catch(){var thrown=EXCEPTIONS.last;if(!thrown){return(setTempRet0(0),0)|0}var info=EXCEPTIONS.infos[thrown];var throwntype=info.type;if(!throwntype){return(setTempRet0(0),thrown)|0}var typeArray=Array.prototype.slice.call(arguments);var pointer=Module["___cxa_is_pointer_type"](throwntype);if(!___cxa_find_matching_catch.buffer)___cxa_find_matching_catch.buffer=_malloc(4);HEAP32[___cxa_find_matching_catch.buffer>>2]=thrown;thrown=___cxa_find_matching_catch.buffer;for(var i=0;i<typeArray.length;i++){if(typeArray[i]&&Module["___cxa_can_catch"](typeArray[i],throwntype,thrown)){thrown=HEAP32[thrown>>2];info.adjusted=thrown;return(setTempRet0(typeArray[i]),thrown)|0}}thrown=HEAP32[thrown>>2];return(setTempRet0(throwntype),thrown)|0}function ___cxa_throw(ptr,type,destructor){EXCEPTIONS.infos[ptr]={ptr:ptr,adjusted:ptr,type:type,destructor:destructor,refcount:0,caught:false,rethrown:false};EXCEPTIONS.last=ptr;if(!("uncaught_exception"in __ZSt18uncaught_exceptionv)){__ZSt18uncaught_exceptionv.uncaught_exception=1}else{__ZSt18uncaught_exceptionv.uncaught_exception++}throw ptr}function ___gxx_personality_v0(){}function ___lock(){}var ERRNO_CODES={EPERM:1,ENOENT:2,ESRCH:3,EINTR:4,EIO:5,ENXIO:6,E2BIG:7,ENOEXEC:8,EBADF:9,ECHILD:10,EAGAIN:11,EWOULDBLOCK:11,ENOMEM:12,EACCES:13,EFAULT:14,ENOTBLK:15,EBUSY:16,EEXIST:17,EXDEV:18,ENODEV:19,ENOTDIR:20,EISDIR:21,EINVAL:22,ENFILE:23,EMFILE:24,ENOTTY:25,ETXTBSY:26,EFBIG:27,ENOSPC:28,ESPIPE:29,EROFS:30,EMLINK:31,EPIPE:32,EDOM:33,ERANGE:34,ENOMSG:42,EIDRM:43,ECHRNG:44,EL2NSYNC:45,EL3HLT:46,EL3RST:47,ELNRNG:48,EUNATCH:49,ENOCSI:50,EL2HLT:51,EDEADLK:35,ENOLCK:37,EBADE:52,EBADR:53,EXFULL:54,ENOANO:55,EBADRQC:56,EBADSLT:57,EDEADLOCK:35,EBFONT:59,ENOSTR:60,ENODATA:61,ETIME:62,ENOSR:63,ENONET:64,ENOPKG:65,EREMOTE:66,ENOLINK:67,EADV:68,ESRMNT:69,ECOMM:70,EPROTO:71,EMULTIHOP:72,EDOTDOT:73,EBADMSG:74,ENOTUNIQ:76,EBADFD:77,EREMCHG:78,ELIBACC:79,ELIBBAD:80,ELIBSCN:81,ELIBMAX:82,ELIBEXEC:83,ENOSYS:38,ENOTEMPTY:39,ENAMETOOLONG:36,ELOOP:40,EOPNOTSUPP:95,EPFNOSUPPORT:96,ECONNRESET:104,ENOBUFS:105,EAFNOSUPPORT:97,EPROTOTYPE:91,ENOTSOCK:88,ENOPROTOOPT:92,ESHUTDOWN:108,ECONNREFUSED:111,EADDRINUSE:98,ECONNABORTED:103,ENETUNREACH:101,ENETDOWN:100,ETIMEDOUT:110,EHOSTDOWN:112,EHOSTUNREACH:113,EINPROGRESS:115,EALREADY:114,EDESTADDRREQ:89,EMSGSIZE:90,EPROTONOSUPPORT:93,ESOCKTNOSUPPORT:94,EADDRNOTAVAIL:99,ENETRESET:102,EISCONN:106,ENOTCONN:107,ETOOMANYREFS:109,EUSERS:87,EDQUOT:122,ESTALE:116,ENOTSUP:95,ENOMEDIUM:123,EILSEQ:84,EOVERFLOW:75,ECANCELED:125,ENOTRECOVERABLE:131,EOWNERDEAD:130,ESTRPIPE:86};function ___setErrNo(value){if(Module["___errno_location"])HEAP32[Module["___errno_location"]()>>2]=value;return value}function ___map_file(pathname,size){___setErrNo(ERRNO_CODES.EPERM);return-1}var ERRNO_MESSAGES={0:"Success",1:"Not super-user",2:"No such file or directory",3:"No such process",4:"Interrupted system call",5:"I/O error",6:"No such device or address",7:"Arg list too long",8:"Exec format error",9:"Bad file number",10:"No children",11:"No more processes",12:"Not enough core",13:"Permission denied",14:"Bad address",15:"Block device required",16:"Mount device busy",17:"File exists",18:"Cross-device link",19:"No such device",20:"Not a directory",21:"Is a directory",22:"Invalid argument",23:"Too many open files in system",24:"Too many open files",25:"Not a typewriter",26:"Text file busy",27:"File too large",28:"No space left on device",29:"Illegal seek",30:"Read only file system",31:"Too many links",32:"Broken pipe",33:"Math arg out of domain of func",34:"Math result not 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space available",106:"Socket is already connected",107:"Socket is not connected",108:"Can't send after socket shutdown",109:"Too many references",110:"Connection timed out",111:"Connection refused",112:"Host is down",113:"Host is unreachable",114:"Socket already connected",115:"Connection already in progress",116:"Stale file handle",122:"Quota exceeded",123:"No medium (in tape drive)",125:"Operation canceled",130:"Previous owner died",131:"State not recoverable"};var PATH={splitPath:(function(filename){var splitPathRe=/^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/;return splitPathRe.exec(filename).slice(1)}),normalizeArray:(function(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last==="."){parts.splice(i,1)}else if(last===".."){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up;up--){parts.unshift("..")}}return parts}),normalize:(function(path){var isAbsolute=path.charAt(0)==="/",trailingSlash=path.substr(-1)==="/";path=PATH.normalizeArray(path.split("/").filter((function(p){return!!p})),!isAbsolute).join("/");if(!path&&!isAbsolute){path="."}if(path&&trailingSlash){path+="/"}return(isAbsolute?"/":"")+path}),dirname:(function(path){var result=PATH.splitPath(path),root=result[0],dir=result[1];if(!root&&!dir){return"."}if(dir){dir=dir.substr(0,dir.length-1)}return root+dir}),basename:(function(path){if(path==="/")return"/";var lastSlash=path.lastIndexOf("/");if(lastSlash===-1)return path;return path.substr(lastSlash+1)}),extname:(function(path){return PATH.splitPath(path)[3]}),join:(function(){var paths=Array.prototype.slice.call(arguments,0);return PATH.normalize(paths.join("/"))}),join2:(function(l,r){return PATH.normalize(l+"/"+r)}),resolve:(function(){var resolvedPath="",resolvedAbsolute=false;for(var i=arguments.length-1;i>=-1&&!resolvedAbsolute;i--){var path=i>=0?arguments[i]:FS.cwd();if(typeof path!=="string"){throw new TypeError("Arguments to path.resolve must be strings")}else if(!path){return""}resolvedPath=path+"/"+resolvedPath;resolvedAbsolute=path.charAt(0)==="/"}resolvedPath=PATH.normalizeArray(resolvedPath.split("/").filter((function(p){return!!p})),!resolvedAbsolute).join("/");return(resolvedAbsolute?"/":"")+resolvedPath||"."}),relative:(function(from,to){from=PATH.resolve(from).substr(1);to=PATH.resolve(to).substr(1);function trim(arr){var start=0;for(;start<arr.length;start++){if(arr[start]!=="")break}var end=arr.length-1;for(;end>=0;end--){if(arr[end]!=="")break}if(start>end)return[];return arr.slice(start,end-start+1)}var fromParts=trim(from.split("/"));var toParts=trim(to.split("/"));var length=Math.min(fromParts.length,toParts.length);var samePartsLength=length;for(var i=0;i<length;i++){if(fromParts[i]!==toParts[i]){samePartsLength=i;break}}var outputParts=[];for(var i=samePartsLength;i<fromParts.length;i++){outputParts.push("..")}outputParts=outputParts.concat(toParts.slice(samePartsLength));return outputParts.join("/")})};var TTY={ttys:[],init:(function(){}),shutdown:(function(){}),register:(function(dev,ops){TTY.ttys[dev]={input:[],output:[],ops:ops};FS.registerDevice(dev,TTY.stream_ops)}),stream_ops:{open:(function(stream){var tty=TTY.ttys[stream.node.rdev];if(!tty){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}stream.tty=tty;stream.seekable=false}),close:(function(stream){stream.tty.ops.flush(stream.tty)}),flush:(function(stream){stream.tty.ops.flush(stream.tty)}),read:(function(stream,buffer,offset,length,pos){if(!stream.tty||!stream.tty.ops.get_char){throw new FS.ErrnoError(ERRNO_CODES.ENXIO)}var bytesRead=0;for(var i=0;i<length;i++){var result;try{result=stream.tty.ops.get_char(stream.tty)}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}if(result===undefined&&bytesRead===0){throw new FS.ErrnoError(ERRNO_CODES.EAGAIN)}if(result===null||result===undefined)break;bytesRead++;buffer[offset+i]=result}if(bytesRead){stream.node.timestamp=Date.now()}return bytesRead}),write:(function(stream,buffer,offset,length,pos){if(!stream.tty||!stream.tty.ops.put_char){throw new FS.ErrnoError(ERRNO_CODES.ENXIO)}for(var i=0;i<length;i++){try{stream.tty.ops.put_char(stream.tty,buffer[offset+i])}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}}if(length){stream.node.timestamp=Date.now()}return i})},default_tty_ops:{get_char:(function(tty){if(!tty.input.length){var result=null;if(ENVIRONMENT_IS_NODE){var BUFSIZE=256;var buf=new Buffer(BUFSIZE);var bytesRead=0;var isPosixPlatform=process.platform!="win32";var fd=process.stdin.fd;if(isPosixPlatform){var usingDevice=false;try{fd=fs.openSync("/dev/stdin","r");usingDevice=true}catch(e){}}try{bytesRead=fs.readSync(fd,buf,0,BUFSIZE,null)}catch(e){if(e.toString().indexOf("EOF")!=-1)bytesRead=0;else throw e}if(usingDevice){fs.closeSync(fd)}if(bytesRead>0){result=buf.slice(0,bytesRead).toString("utf-8")}else{result=null}}else if(typeof window!="undefined"&&typeof window.prompt=="function"){result=window.prompt("Input: ");if(result!==null){result+="\n"}}else if(typeof readline=="function"){result=readline();if(result!==null){result+="\n"}}if(!result){return null}tty.input=intArrayFromString(result,true)}return tty.input.shift()}),put_char:(function(tty,val){if(val===null||val===10){out(UTF8ArrayToString(tty.output,0));tty.output=[]}else{if(val!=0)tty.output.push(val)}}),flush:(function(tty){if(tty.output&&tty.output.length>0){out(UTF8ArrayToString(tty.output,0));tty.output=[]}})},default_tty1_ops:{put_char:(function(tty,val){if(val===null||val===10){err(UTF8ArrayToString(tty.output,0));tty.output=[]}else{if(val!=0)tty.output.push(val)}}),flush:(function(tty){if(tty.output&&tty.output.length>0){err(UTF8ArrayToString(tty.output,0));tty.output=[]}})}};var MEMFS={ops_table:null,mount:(function(mount){return MEMFS.createNode(null,"/",16384|511,0)}),createNode:(function(parent,name,mode,dev){if(FS.isBlkdev(mode)||FS.isFIFO(mode)){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(!MEMFS.ops_table){MEMFS.ops_table={dir:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,lookup:MEMFS.node_ops.lookup,mknod:MEMFS.node_ops.mknod,rename:MEMFS.node_ops.rename,unlink:MEMFS.node_ops.unlink,rmdir:MEMFS.node_ops.rmdir,readdir:MEMFS.node_ops.readdir,symlink:MEMFS.node_ops.symlink},stream:{llseek:MEMFS.stream_ops.llseek}},file:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:{llseek:MEMFS.stream_ops.llseek,read:MEMFS.stream_ops.read,write:MEMFS.stream_ops.write,allocate:MEMFS.stream_ops.allocate,mmap:MEMFS.stream_ops.mmap,msync:MEMFS.stream_ops.msync}},link:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr,readlink:MEMFS.node_ops.readlink},stream:{}},chrdev:{node:{getattr:MEMFS.node_ops.getattr,setattr:MEMFS.node_ops.setattr},stream:FS.chrdev_stream_ops}}}var node=FS.createNode(parent,name,mode,dev);if(FS.isDir(node.mode)){node.node_ops=MEMFS.ops_table.dir.node;node.stream_ops=MEMFS.ops_table.dir.stream;node.contents={}}else if(FS.isFile(node.mode)){node.node_ops=MEMFS.ops_table.file.node;node.stream_ops=MEMFS.ops_table.file.stream;node.usedBytes=0;node.contents=null}else if(FS.isLink(node.mode)){node.node_ops=MEMFS.ops_table.link.node;node.stream_ops=MEMFS.ops_table.link.stream}else if(FS.isChrdev(node.mode)){node.node_ops=MEMFS.ops_table.chrdev.node;node.stream_ops=MEMFS.ops_table.chrdev.stream}node.timestamp=Date.now();if(parent){parent.contents[name]=node}return node}),getFileDataAsRegularArray:(function(node){if(node.contents&&node.contents.subarray){var arr=[];for(var i=0;i<node.usedBytes;++i)arr.push(node.contents[i]);return arr}return node.contents}),getFileDataAsTypedArray:(function(node){if(!node.contents)return new Uint8Array;if(node.contents.subarray)return node.contents.subarray(0,node.usedBytes);return new Uint8Array(node.contents)}),expandFileStorage:(function(node,newCapacity){if(node.contents&&node.contents.subarray&&newCapacity>node.contents.length){node.contents=MEMFS.getFileDataAsRegularArray(node);node.usedBytes=node.contents.length}if(!node.contents||node.contents.subarray){var prevCapacity=node.contents?node.contents.length:0;if(prevCapacity>=newCapacity)return;var CAPACITY_DOUBLING_MAX=1024*1024;newCapacity=Math.max(newCapacity,prevCapacity*(prevCapacity<CAPACITY_DOUBLING_MAX?2:1.125)|0);if(prevCapacity!=0)newCapacity=Math.max(newCapacity,256);var oldContents=node.contents;node.contents=new Uint8Array(newCapacity);if(node.usedBytes>0)node.contents.set(oldContents.subarray(0,node.usedBytes),0);return}if(!node.contents&&newCapacity>0)node.contents=[];while(node.contents.length<newCapacity)node.contents.push(0)}),resizeFileStorage:(function(node,newSize){if(node.usedBytes==newSize)return;if(newSize==0){node.contents=null;node.usedBytes=0;return}if(!node.contents||node.contents.subarray){var oldContents=node.contents;node.contents=new Uint8Array(new ArrayBuffer(newSize));if(oldContents){node.contents.set(oldContents.subarray(0,Math.min(newSize,node.usedBytes)))}node.usedBytes=newSize;return}if(!node.contents)node.contents=[];if(node.contents.length>newSize)node.contents.length=newSize;else while(node.contents.length<newSize)node.contents.push(0);node.usedBytes=newSize}),node_ops:{getattr:(function(node){var attr={};attr.dev=FS.isChrdev(node.mode)?node.id:1;attr.ino=node.id;attr.mode=node.mode;attr.nlink=1;attr.uid=0;attr.gid=0;attr.rdev=node.rdev;if(FS.isDir(node.mode)){attr.size=4096}else if(FS.isFile(node.mode)){attr.size=node.usedBytes}else if(FS.isLink(node.mode)){attr.size=node.link.length}else{attr.size=0}attr.atime=new Date(node.timestamp);attr.mtime=new Date(node.timestamp);attr.ctime=new Date(node.timestamp);attr.blksize=4096;attr.blocks=Math.ceil(attr.size/attr.blksize);return attr}),setattr:(function(node,attr){if(attr.mode!==undefined){node.mode=attr.mode}if(attr.timestamp!==undefined){node.timestamp=attr.timestamp}if(attr.size!==undefined){MEMFS.resizeFileStorage(node,attr.size)}}),lookup:(function(parent,name){throw FS.genericErrors[ERRNO_CODES.ENOENT]}),mknod:(function(parent,name,mode,dev){return MEMFS.createNode(parent,name,mode,dev)}),rename:(function(old_node,new_dir,new_name){if(FS.isDir(old_node.mode)){var new_node;try{new_node=FS.lookupNode(new_dir,new_name)}catch(e){}if(new_node){for(var i in new_node.contents){throw new FS.ErrnoError(ERRNO_CODES.ENOTEMPTY)}}}delete old_node.parent.contents[old_node.name];old_node.name=new_name;new_dir.contents[new_name]=old_node;old_node.parent=new_dir}),unlink:(function(parent,name){delete parent.contents[name]}),rmdir:(function(parent,name){var node=FS.lookupNode(parent,name);for(var i in node.contents){throw new FS.ErrnoError(ERRNO_CODES.ENOTEMPTY)}delete parent.contents[name]}),readdir:(function(node){var entries=[".",".."];for(var key in node.contents){if(!node.contents.hasOwnProperty(key)){continue}entries.push(key)}return entries}),symlink:(function(parent,newname,oldpath){var node=MEMFS.createNode(parent,newname,511|40960,0);node.link=oldpath;return node}),readlink:(function(node){if(!FS.isLink(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return node.link})},stream_ops:{read:(function(stream,buffer,offset,length,position){var contents=stream.node.contents;if(position>=stream.node.usedBytes)return 0;var size=Math.min(stream.node.usedBytes-position,length);assert(size>=0);if(size>8&&contents.subarray){buffer.set(contents.subarray(position,position+size),offset)}else{for(var i=0;i<size;i++)buffer[offset+i]=contents[position+i]}return size}),write:(function(stream,buffer,offset,length,position,canOwn){if(!length)return 0;var node=stream.node;node.timestamp=Date.now();if(buffer.subarray&&(!node.contents||node.contents.subarray)){if(canOwn){node.contents=buffer.subarray(offset,offset+length);node.usedBytes=length;return length}else if(node.usedBytes===0&&position===0){node.contents=new Uint8Array(buffer.subarray(offset,offset+length));node.usedBytes=length;return length}else if(position+length<=node.usedBytes){node.contents.set(buffer.subarray(offset,offset+length),position);return length}}MEMFS.expandFileStorage(node,position+length);if(node.contents.subarray&&buffer.subarray)node.contents.set(buffer.subarray(offset,offset+length),position);else{for(var i=0;i<length;i++){node.contents[position+i]=buffer[offset+i]}}node.usedBytes=Math.max(node.usedBytes,position+length);return length}),llseek:(function(stream,offset,whence){var position=offset;if(whence===1){position+=stream.position}else if(whence===2){if(FS.isFile(stream.node.mode)){position+=stream.node.usedBytes}}if(position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return position}),allocate:(function(stream,offset,length){MEMFS.expandFileStorage(stream.node,offset+length);stream.node.usedBytes=Math.max(stream.node.usedBytes,offset+length)}),mmap:(function(stream,buffer,offset,length,position,prot,flags){if(!FS.isFile(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}var ptr;var allocated;var contents=stream.node.contents;if(!(flags&2)&&(contents.buffer===buffer||contents.buffer===buffer.buffer)){allocated=false;ptr=contents.byteOffset}else{if(position>0||position+length<stream.node.usedBytes){if(contents.subarray){contents=contents.subarray(position,position+length)}else{contents=Array.prototype.slice.call(contents,position,position+length)}}allocated=true;ptr=_malloc(length);if(!ptr){throw new FS.ErrnoError(ERRNO_CODES.ENOMEM)}buffer.set(contents,ptr)}return{ptr:ptr,allocated:allocated}}),msync:(function(stream,buffer,offset,length,mmapFlags){if(!FS.isFile(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}if(mmapFlags&2){return 0}var bytesWritten=MEMFS.stream_ops.write(stream,buffer,0,length,offset,false);return 0})}};var IDBFS={dbs:{},indexedDB:(function(){if(typeof indexedDB!=="undefined")return indexedDB;var ret=null;if(typeof window==="object")ret=window.indexedDB||window.mozIndexedDB||window.webkitIndexedDB||window.msIndexedDB;assert(ret,"IDBFS used, but indexedDB not supported");return ret}),DB_VERSION:21,DB_STORE_NAME:"FILE_DATA",mount:(function(mount){return MEMFS.mount.apply(null,arguments)}),syncfs:(function(mount,populate,callback){IDBFS.getLocalSet(mount,(function(err,local){if(err)return callback(err);IDBFS.getRemoteSet(mount,(function(err,remote){if(err)return callback(err);var src=populate?remote:local;var dst=populate?local:remote;IDBFS.reconcile(src,dst,callback)}))}))}),getDB:(function(name,callback){var db=IDBFS.dbs[name];if(db){return callback(null,db)}var req;try{req=IDBFS.indexedDB().open(name,IDBFS.DB_VERSION)}catch(e){return callback(e)}if(!req){return callback("Unable to connect to IndexedDB")}req.onupgradeneeded=(function(e){var db=e.target.result;var transaction=e.target.transaction;var fileStore;if(db.objectStoreNames.contains(IDBFS.DB_STORE_NAME)){fileStore=transaction.objectStore(IDBFS.DB_STORE_NAME)}else{fileStore=db.createObjectStore(IDBFS.DB_STORE_NAME)}if(!fileStore.indexNames.contains("timestamp")){fileStore.createIndex("timestamp","timestamp",{unique:false})}});req.onsuccess=(function(){db=req.result;IDBFS.dbs[name]=db;callback(null,db)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),getLocalSet:(function(mount,callback){var entries={};function isRealDir(p){return p!=="."&&p!==".."}function toAbsolute(root){return(function(p){return PATH.join2(root,p)})}var check=FS.readdir(mount.mountpoint).filter(isRealDir).map(toAbsolute(mount.mountpoint));while(check.length){var path=check.pop();var stat;try{stat=FS.stat(path)}catch(e){return callback(e)}if(FS.isDir(stat.mode)){check.push.apply(check,FS.readdir(path).filter(isRealDir).map(toAbsolute(path)))}entries[path]={timestamp:stat.mtime}}return callback(null,{type:"local",entries:entries})}),getRemoteSet:(function(mount,callback){var entries={};IDBFS.getDB(mount.mountpoint,(function(err,db){if(err)return callback(err);try{var transaction=db.transaction([IDBFS.DB_STORE_NAME],"readonly");transaction.onerror=(function(e){callback(this.error);e.preventDefault()});var store=transaction.objectStore(IDBFS.DB_STORE_NAME);var index=store.index("timestamp");index.openKeyCursor().onsuccess=(function(event){var cursor=event.target.result;if(!cursor){return callback(null,{type:"remote",db:db,entries:entries})}entries[cursor.primaryKey]={timestamp:cursor.key};cursor.continue()})}catch(e){return callback(e)}}))}),loadLocalEntry:(function(path,callback){var stat,node;try{var lookup=FS.lookupPath(path);node=lookup.node;stat=FS.stat(path)}catch(e){return callback(e)}if(FS.isDir(stat.mode)){return callback(null,{timestamp:stat.mtime,mode:stat.mode})}else if(FS.isFile(stat.mode)){node.contents=MEMFS.getFileDataAsTypedArray(node);return callback(null,{timestamp:stat.mtime,mode:stat.mode,contents:node.contents})}else{return callback(new Error("node type not supported"))}}),storeLocalEntry:(function(path,entry,callback){try{if(FS.isDir(entry.mode)){FS.mkdir(path,entry.mode)}else if(FS.isFile(entry.mode)){FS.writeFile(path,entry.contents,{canOwn:true})}else{return callback(new Error("node type not supported"))}FS.chmod(path,entry.mode);FS.utime(path,entry.timestamp,entry.timestamp)}catch(e){return callback(e)}callback(null)}),removeLocalEntry:(function(path,callback){try{var lookup=FS.lookupPath(path);var stat=FS.stat(path);if(FS.isDir(stat.mode)){FS.rmdir(path)}else if(FS.isFile(stat.mode)){FS.unlink(path)}}catch(e){return callback(e)}callback(null)}),loadRemoteEntry:(function(store,path,callback){var req=store.get(path);req.onsuccess=(function(event){callback(null,event.target.result)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),storeRemoteEntry:(function(store,path,entry,callback){var req=store.put(entry,path);req.onsuccess=(function(){callback(null)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),removeRemoteEntry:(function(store,path,callback){var req=store.delete(path);req.onsuccess=(function(){callback(null)});req.onerror=(function(e){callback(this.error);e.preventDefault()})}),reconcile:(function(src,dst,callback){var total=0;var create=[];Object.keys(src.entries).forEach((function(key){var e=src.entries[key];var e2=dst.entries[key];if(!e2||e.timestamp>e2.timestamp){create.push(key);total++}}));var remove=[];Object.keys(dst.entries).forEach((function(key){var e=dst.entries[key];var e2=src.entries[key];if(!e2){remove.push(key);total++}}));if(!total){return callback(null)}var completed=0;var db=src.type==="remote"?src.db:dst.db;var transaction=db.transaction([IDBFS.DB_STORE_NAME],"readwrite");var store=transaction.objectStore(IDBFS.DB_STORE_NAME);function done(err){if(err){if(!done.errored){done.errored=true;return callback(err)}return}if(++completed>=total){return callback(null)}}transaction.onerror=(function(e){done(this.error);e.preventDefault()});create.sort().forEach((function(path){if(dst.type==="local"){IDBFS.loadRemoteEntry(store,path,(function(err,entry){if(err)return done(err);IDBFS.storeLocalEntry(path,entry,done)}))}else{IDBFS.loadLocalEntry(path,(function(err,entry){if(err)return done(err);IDBFS.storeRemoteEntry(store,path,entry,done)}))}}));remove.sort().reverse().forEach((function(path){if(dst.type==="local"){IDBFS.removeLocalEntry(path,done)}else{IDBFS.removeRemoteEntry(store,path,done)}}))})};var NODEFS={isWindows:false,staticInit:(function(){NODEFS.isWindows=!!process.platform.match(/^win/);var flags=process["binding"]("constants");if(flags["fs"]){flags=flags["fs"]}NODEFS.flagsForNodeMap={"1024":flags["O_APPEND"],"64":flags["O_CREAT"],"128":flags["O_EXCL"],"0":flags["O_RDONLY"],"2":flags["O_RDWR"],"4096":flags["O_SYNC"],"512":flags["O_TRUNC"],"1":flags["O_WRONLY"]}}),bufferFrom:(function(arrayBuffer){return Buffer.alloc?Buffer.from(arrayBuffer):new Buffer(arrayBuffer)}),mount:(function(mount){assert(ENVIRONMENT_IS_NODE);return NODEFS.createNode(null,"/",NODEFS.getMode(mount.opts.root),0)}),createNode:(function(parent,name,mode,dev){if(!FS.isDir(mode)&&!FS.isFile(mode)&&!FS.isLink(mode)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var node=FS.createNode(parent,name,mode);node.node_ops=NODEFS.node_ops;node.stream_ops=NODEFS.stream_ops;return node}),getMode:(function(path){var stat;try{stat=fs.lstatSync(path);if(NODEFS.isWindows){stat.mode=stat.mode|(stat.mode&292)>>2}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}return stat.mode}),realPath:(function(node){var parts=[];while(node.parent!==node){parts.push(node.name);node=node.parent}parts.push(node.mount.opts.root);parts.reverse();return PATH.join.apply(null,parts)}),flagsForNode:(function(flags){flags&=~2097152;flags&=~2048;flags&=~32768;flags&=~524288;var newFlags=0;for(var k in NODEFS.flagsForNodeMap){if(flags&k){newFlags|=NODEFS.flagsForNodeMap[k];flags^=k}}if(!flags){return newFlags}else{throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}}),node_ops:{getattr:(function(node){var path=NODEFS.realPath(node);var stat;try{stat=fs.lstatSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}if(NODEFS.isWindows&&!stat.blksize){stat.blksize=4096}if(NODEFS.isWindows&&!stat.blocks){stat.blocks=(stat.size+stat.blksize-1)/stat.blksize|0}return{dev:stat.dev,ino:stat.ino,mode:stat.mode,nlink:stat.nlink,uid:stat.uid,gid:stat.gid,rdev:stat.rdev,size:stat.size,atime:stat.atime,mtime:stat.mtime,ctime:stat.ctime,blksize:stat.blksize,blocks:stat.blocks}}),setattr:(function(node,attr){var path=NODEFS.realPath(node);try{if(attr.mode!==undefined){fs.chmodSync(path,attr.mode);node.mode=attr.mode}if(attr.timestamp!==undefined){var date=new Date(attr.timestamp);fs.utimesSync(path,date,date)}if(attr.size!==undefined){fs.truncateSync(path,attr.size)}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),lookup:(function(parent,name){var path=PATH.join2(NODEFS.realPath(parent),name);var mode=NODEFS.getMode(path);return NODEFS.createNode(parent,name,mode)}),mknod:(function(parent,name,mode,dev){var node=NODEFS.createNode(parent,name,mode,dev);var path=NODEFS.realPath(node);try{if(FS.isDir(node.mode)){fs.mkdirSync(path,node.mode)}else{fs.writeFileSync(path,"",{mode:node.mode})}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}return node}),rename:(function(oldNode,newDir,newName){var oldPath=NODEFS.realPath(oldNode);var newPath=PATH.join2(NODEFS.realPath(newDir),newName);try{fs.renameSync(oldPath,newPath)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),unlink:(function(parent,name){var path=PATH.join2(NODEFS.realPath(parent),name);try{fs.unlinkSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),rmdir:(function(parent,name){var path=PATH.join2(NODEFS.realPath(parent),name);try{fs.rmdirSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),readdir:(function(node){var path=NODEFS.realPath(node);try{return fs.readdirSync(path)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),symlink:(function(parent,newName,oldPath){var newPath=PATH.join2(NODEFS.realPath(parent),newName);try{fs.symlinkSync(oldPath,newPath)}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),readlink:(function(node){var path=NODEFS.realPath(node);try{path=fs.readlinkSync(path);path=NODEJS_PATH.relative(NODEJS_PATH.resolve(node.mount.opts.root),path);return path}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}})},stream_ops:{open:(function(stream){var path=NODEFS.realPath(stream.node);try{if(FS.isFile(stream.node.mode)){stream.nfd=fs.openSync(path,NODEFS.flagsForNode(stream.flags))}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),close:(function(stream){try{if(FS.isFile(stream.node.mode)&&stream.nfd){fs.closeSync(stream.nfd)}}catch(e){if(!e.code)throw e;throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),read:(function(stream,buffer,offset,length,position){if(length===0)return 0;try{return fs.readSync(stream.nfd,NODEFS.bufferFrom(buffer.buffer),offset,length,position)}catch(e){throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),write:(function(stream,buffer,offset,length,position){try{return fs.writeSync(stream.nfd,NODEFS.bufferFrom(buffer.buffer),offset,length,position)}catch(e){throw new FS.ErrnoError(ERRNO_CODES[e.code])}}),llseek:(function(stream,offset,whence){var position=offset;if(whence===1){position+=stream.position}else if(whence===2){if(FS.isFile(stream.node.mode)){try{var stat=fs.fstatSync(stream.nfd);position+=stat.size}catch(e){throw new FS.ErrnoError(ERRNO_CODES[e.code])}}}if(position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return position})}};var WORKERFS={DIR_MODE:16895,FILE_MODE:33279,reader:null,mount:(function(mount){assert(ENVIRONMENT_IS_WORKER);if(!WORKERFS.reader)WORKERFS.reader=new FileReaderSync;var root=WORKERFS.createNode(null,"/",WORKERFS.DIR_MODE,0);var createdParents={};function ensureParent(path){var parts=path.split("/");var parent=root;for(var i=0;i<parts.length-1;i++){var curr=parts.slice(0,i+1).join("/");if(!createdParents[curr]){createdParents[curr]=WORKERFS.createNode(parent,parts[i],WORKERFS.DIR_MODE,0)}parent=createdParents[curr]}return parent}function base(path){var parts=path.split("/");return parts[parts.length-1]}Array.prototype.forEach.call(mount.opts["files"]||[],(function(file){WORKERFS.createNode(ensureParent(file.name),base(file.name),WORKERFS.FILE_MODE,0,file,file.lastModifiedDate)}));(mount.opts["blobs"]||[]).forEach((function(obj){WORKERFS.createNode(ensureParent(obj["name"]),base(obj["name"]),WORKERFS.FILE_MODE,0,obj["data"])}));(mount.opts["packages"]||[]).forEach((function(pack){pack["metadata"].files.forEach((function(file){var name=file.filename.substr(1);WORKERFS.createNode(ensureParent(name),base(name),WORKERFS.FILE_MODE,0,pack["blob"].slice(file.start,file.end))}))}));return root}),createNode:(function(parent,name,mode,dev,contents,mtime){var node=FS.createNode(parent,name,mode);node.mode=mode;node.node_ops=WORKERFS.node_ops;node.stream_ops=WORKERFS.stream_ops;node.timestamp=(mtime||new Date).getTime();assert(WORKERFS.FILE_MODE!==WORKERFS.DIR_MODE);if(mode===WORKERFS.FILE_MODE){node.size=contents.size;node.contents=contents}else{node.size=4096;node.contents={}}if(parent){parent.contents[name]=node}return node}),node_ops:{getattr:(function(node){return{dev:1,ino:undefined,mode:node.mode,nlink:1,uid:0,gid:0,rdev:undefined,size:node.size,atime:new Date(node.timestamp),mtime:new Date(node.timestamp),ctime:new Date(node.timestamp),blksize:4096,blocks:Math.ceil(node.size/4096)}}),setattr:(function(node,attr){if(attr.mode!==undefined){node.mode=attr.mode}if(attr.timestamp!==undefined){node.timestamp=attr.timestamp}}),lookup:(function(parent,name){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}),mknod:(function(parent,name,mode,dev){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),rename:(function(oldNode,newDir,newName){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),unlink:(function(parent,name){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),rmdir:(function(parent,name){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),readdir:(function(node){var entries=[".",".."];for(var key in node.contents){if(!node.contents.hasOwnProperty(key)){continue}entries.push(key)}return entries}),symlink:(function(parent,newName,oldPath){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}),readlink:(function(node){throw new FS.ErrnoError(ERRNO_CODES.EPERM)})},stream_ops:{read:(function(stream,buffer,offset,length,position){if(position>=stream.node.size)return 0;var chunk=stream.node.contents.slice(position,position+length);var ab=WORKERFS.reader.readAsArrayBuffer(chunk);buffer.set(new Uint8Array(ab),offset);return chunk.size}),write:(function(stream,buffer,offset,length,position){throw new FS.ErrnoError(ERRNO_CODES.EIO)}),llseek:(function(stream,offset,whence){var position=offset;if(whence===1){position+=stream.position}else if(whence===2){if(FS.isFile(stream.node.mode)){position+=stream.node.size}}if(position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return position})}};STATICTOP+=16;STATICTOP+=16;STATICTOP+=16;var FS={root:null,mounts:[],devices:{},streams:[],nextInode:1,nameTable:null,currentPath:"/",initialized:false,ignorePermissions:true,trackingDelegate:{},tracking:{openFlags:{READ:1,WRITE:2}},ErrnoError:null,genericErrors:{},filesystems:null,syncFSRequests:0,handleFSError:(function(e){if(!(e instanceof FS.ErrnoError))throw e+" : "+stackTrace();return ___setErrNo(e.errno)}),lookupPath:(function(path,opts){path=PATH.resolve(FS.cwd(),path);opts=opts||{};if(!path)return{path:"",node:null};var defaults={follow_mount:true,recurse_count:0};for(var key in defaults){if(opts[key]===undefined){opts[key]=defaults[key]}}if(opts.recurse_count>8){throw new FS.ErrnoError(ERRNO_CODES.ELOOP)}var parts=PATH.normalizeArray(path.split("/").filter((function(p){return!!p})),false);var current=FS.root;var current_path="/";for(var i=0;i<parts.length;i++){var islast=i===parts.length-1;if(islast&&opts.parent){break}current=FS.lookupNode(current,parts[i]);current_path=PATH.join2(current_path,parts[i]);if(FS.isMountpoint(current)){if(!islast||islast&&opts.follow_mount){current=current.mounted.root}}if(!islast||opts.follow){var count=0;while(FS.isLink(current.mode)){var link=FS.readlink(current_path);current_path=PATH.resolve(PATH.dirname(current_path),link);var lookup=FS.lookupPath(current_path,{recurse_count:opts.recurse_count});current=lookup.node;if(count++>40){throw new FS.ErrnoError(ERRNO_CODES.ELOOP)}}}}return{path:current_path,node:current}}),getPath:(function(node){var path;while(true){if(FS.isRoot(node)){var mount=node.mount.mountpoint;if(!path)return mount;return mount[mount.length-1]!=="/"?mount+"/"+path:mount+path}path=path?node.name+"/"+path:node.name;node=node.parent}}),hashName:(function(parentid,name){var hash=0;for(var i=0;i<name.length;i++){hash=(hash<<5)-hash+name.charCodeAt(i)|0}return(parentid+hash>>>0)%FS.nameTable.length}),hashAddNode:(function(node){var hash=FS.hashName(node.parent.id,node.name);node.name_next=FS.nameTable[hash];FS.nameTable[hash]=node}),hashRemoveNode:(function(node){var hash=FS.hashName(node.parent.id,node.name);if(FS.nameTable[hash]===node){FS.nameTable[hash]=node.name_next}else{var current=FS.nameTable[hash];while(current){if(current.name_next===node){current.name_next=node.name_next;break}current=current.name_next}}}),lookupNode:(function(parent,name){var err=FS.mayLookup(parent);if(err){throw new FS.ErrnoError(err,parent)}var hash=FS.hashName(parent.id,name);for(var node=FS.nameTable[hash];node;node=node.name_next){var nodeName=node.name;if(node.parent.id===parent.id&&nodeName===name){return node}}return FS.lookup(parent,name)}),createNode:(function(parent,name,mode,rdev){if(!FS.FSNode){FS.FSNode=(function(parent,name,mode,rdev){if(!parent){parent=this}this.parent=parent;this.mount=parent.mount;this.mounted=null;this.id=FS.nextInode++;this.name=name;this.mode=mode;this.node_ops={};this.stream_ops={};this.rdev=rdev});FS.FSNode.prototype={};var readMode=292|73;var writeMode=146;Object.defineProperties(FS.FSNode.prototype,{read:{get:(function(){return(this.mode&readMode)===readMode}),set:(function(val){val?this.mode|=readMode:this.mode&=~readMode})},write:{get:(function(){return(this.mode&writeMode)===writeMode}),set:(function(val){val?this.mode|=writeMode:this.mode&=~writeMode})},isFolder:{get:(function(){return FS.isDir(this.mode)})},isDevice:{get:(function(){return FS.isChrdev(this.mode)})}})}var node=new FS.FSNode(parent,name,mode,rdev);FS.hashAddNode(node);return node}),destroyNode:(function(node){FS.hashRemoveNode(node)}),isRoot:(function(node){return node===node.parent}),isMountpoint:(function(node){return!!node.mounted}),isFile:(function(mode){return(mode&61440)===32768}),isDir:(function(mode){return(mode&61440)===16384}),isLink:(function(mode){return(mode&61440)===40960}),isChrdev:(function(mode){return(mode&61440)===8192}),isBlkdev:(function(mode){return(mode&61440)===24576}),isFIFO:(function(mode){return(mode&61440)===4096}),isSocket:(function(mode){return(mode&49152)===49152}),flagModes:{"r":0,"rs":1052672,"r+":2,"w":577,"wx":705,"xw":705,"w+":578,"wx+":706,"xw+":706,"a":1089,"ax":1217,"xa":1217,"a+":1090,"ax+":1218,"xa+":1218},modeStringToFlags:(function(str){var flags=FS.flagModes[str];if(typeof flags==="undefined"){throw new Error("Unknown file open mode: "+str)}return flags}),flagsToPermissionString:(function(flag){var perms=["r","w","rw"][flag&3];if(flag&512){perms+="w"}return perms}),nodePermissions:(function(node,perms){if(FS.ignorePermissions){return 0}if(perms.indexOf("r")!==-1&&!(node.mode&292)){return ERRNO_CODES.EACCES}else if(perms.indexOf("w")!==-1&&!(node.mode&146)){return ERRNO_CODES.EACCES}else if(perms.indexOf("x")!==-1&&!(node.mode&73)){return ERRNO_CODES.EACCES}return 0}),mayLookup:(function(dir){var err=FS.nodePermissions(dir,"x");if(err)return err;if(!dir.node_ops.lookup)return ERRNO_CODES.EACCES;return 0}),mayCreate:(function(dir,name){try{var node=FS.lookupNode(dir,name);return ERRNO_CODES.EEXIST}catch(e){}return FS.nodePermissions(dir,"wx")}),mayDelete:(function(dir,name,isdir){var node;try{node=FS.lookupNode(dir,name)}catch(e){return e.errno}var err=FS.nodePermissions(dir,"wx");if(err){return err}if(isdir){if(!FS.isDir(node.mode)){return ERRNO_CODES.ENOTDIR}if(FS.isRoot(node)||FS.getPath(node)===FS.cwd()){return ERRNO_CODES.EBUSY}}else{if(FS.isDir(node.mode)){return ERRNO_CODES.EISDIR}}return 0}),mayOpen:(function(node,flags){if(!node){return ERRNO_CODES.ENOENT}if(FS.isLink(node.mode)){return ERRNO_CODES.ELOOP}else if(FS.isDir(node.mode)){if(FS.flagsToPermissionString(flags)!=="r"||flags&512){return ERRNO_CODES.EISDIR}}return FS.nodePermissions(node,FS.flagsToPermissionString(flags))}),MAX_OPEN_FDS:4096,nextfd:(function(fd_start,fd_end){fd_start=fd_start||0;fd_end=fd_end||FS.MAX_OPEN_FDS;for(var fd=fd_start;fd<=fd_end;fd++){if(!FS.streams[fd]){return fd}}throw new FS.ErrnoError(ERRNO_CODES.EMFILE)}),getStream:(function(fd){return FS.streams[fd]}),createStream:(function(stream,fd_start,fd_end){if(!FS.FSStream){FS.FSStream=(function(){});FS.FSStream.prototype={};Object.defineProperties(FS.FSStream.prototype,{object:{get:(function(){return this.node}),set:(function(val){this.node=val})},isRead:{get:(function(){return(this.flags&2097155)!==1})},isWrite:{get:(function(){return(this.flags&2097155)!==0})},isAppend:{get:(function(){return this.flags&1024})}})}var newStream=new FS.FSStream;for(var p in stream){newStream[p]=stream[p]}stream=newStream;var fd=FS.nextfd(fd_start,fd_end);stream.fd=fd;FS.streams[fd]=stream;return stream}),closeStream:(function(fd){FS.streams[fd]=null}),chrdev_stream_ops:{open:(function(stream){var device=FS.getDevice(stream.node.rdev);stream.stream_ops=device.stream_ops;if(stream.stream_ops.open){stream.stream_ops.open(stream)}}),llseek:(function(){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)})},major:(function(dev){return dev>>8}),minor:(function(dev){return dev&255}),makedev:(function(ma,mi){return ma<<8|mi}),registerDevice:(function(dev,ops){FS.devices[dev]={stream_ops:ops}}),getDevice:(function(dev){return FS.devices[dev]}),getMounts:(function(mount){var mounts=[];var check=[mount];while(check.length){var m=check.pop();mounts.push(m);check.push.apply(check,m.mounts)}return mounts}),syncfs:(function(populate,callback){if(typeof populate==="function"){callback=populate;populate=false}FS.syncFSRequests++;if(FS.syncFSRequests>1){console.log("warning: "+FS.syncFSRequests+" FS.syncfs operations in flight at once, probably just doing extra work")}var mounts=FS.getMounts(FS.root.mount);var completed=0;function doCallback(err){assert(FS.syncFSRequests>0);FS.syncFSRequests--;return callback(err)}function done(err){if(err){if(!done.errored){done.errored=true;return doCallback(err)}return}if(++completed>=mounts.length){doCallback(null)}}mounts.forEach((function(mount){if(!mount.type.syncfs){return done(null)}mount.type.syncfs(mount,populate,done)}))}),mount:(function(type,opts,mountpoint){var root=mountpoint==="/";var pseudo=!mountpoint;var node;if(root&&FS.root){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}else if(!root&&!pseudo){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});mountpoint=lookup.path;node=lookup.node;if(FS.isMountpoint(node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}if(!FS.isDir(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}}var mount={type:type,opts:opts,mountpoint:mountpoint,mounts:[]};var mountRoot=type.mount(mount);mountRoot.mount=mount;mount.root=mountRoot;if(root){FS.root=mountRoot}else if(node){node.mounted=mount;if(node.mount){node.mount.mounts.push(mount)}}return mountRoot}),unmount:(function(mountpoint){var lookup=FS.lookupPath(mountpoint,{follow_mount:false});if(!FS.isMountpoint(lookup.node)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var node=lookup.node;var mount=node.mounted;var mounts=FS.getMounts(mount);Object.keys(FS.nameTable).forEach((function(hash){var current=FS.nameTable[hash];while(current){var next=current.name_next;if(mounts.indexOf(current.mount)!==-1){FS.destroyNode(current)}current=next}}));node.mounted=null;var idx=node.mount.mounts.indexOf(mount);assert(idx!==-1);node.mount.mounts.splice(idx,1)}),lookup:(function(parent,name){return parent.node_ops.lookup(parent,name)}),mknod:(function(path,mode,dev){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);if(!name||name==="."||name===".."){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var err=FS.mayCreate(parent,name);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.mknod){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}return parent.node_ops.mknod(parent,name,mode,dev)}),create:(function(path,mode){mode=mode!==undefined?mode:438;mode&=4095;mode|=32768;return FS.mknod(path,mode,0)}),mkdir:(function(path,mode){mode=mode!==undefined?mode:511;mode&=511|512;mode|=16384;return FS.mknod(path,mode,0)}),mkdirTree:(function(path,mode){var dirs=path.split("/");var d="";for(var i=0;i<dirs.length;++i){if(!dirs[i])continue;d+="/"+dirs[i];try{FS.mkdir(d,mode)}catch(e){if(e.errno!=ERRNO_CODES.EEXIST)throw e}}}),mkdev:(function(path,mode,dev){if(typeof dev==="undefined"){dev=mode;mode=438}mode|=8192;return FS.mknod(path,mode,dev)}),symlink:(function(oldpath,newpath){if(!PATH.resolve(oldpath)){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}var lookup=FS.lookupPath(newpath,{parent:true});var parent=lookup.node;if(!parent){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}var newname=PATH.basename(newpath);var err=FS.mayCreate(parent,newname);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.symlink){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}return parent.node_ops.symlink(parent,newname,oldpath)}),rename:(function(old_path,new_path){var old_dirname=PATH.dirname(old_path);var new_dirname=PATH.dirname(new_path);var old_name=PATH.basename(old_path);var new_name=PATH.basename(new_path);var lookup,old_dir,new_dir;try{lookup=FS.lookupPath(old_path,{parent:true});old_dir=lookup.node;lookup=FS.lookupPath(new_path,{parent:true});new_dir=lookup.node}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}if(!old_dir||!new_dir)throw new FS.ErrnoError(ERRNO_CODES.ENOENT);if(old_dir.mount!==new_dir.mount){throw new FS.ErrnoError(ERRNO_CODES.EXDEV)}var old_node=FS.lookupNode(old_dir,old_name);var relative=PATH.relative(old_path,new_dirname);if(relative.charAt(0)!=="."){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}relative=PATH.relative(new_path,old_dirname);if(relative.charAt(0)!=="."){throw new FS.ErrnoError(ERRNO_CODES.ENOTEMPTY)}var new_node;try{new_node=FS.lookupNode(new_dir,new_name)}catch(e){}if(old_node===new_node){return}var isdir=FS.isDir(old_node.mode);var err=FS.mayDelete(old_dir,old_name,isdir);if(err){throw new FS.ErrnoError(err)}err=new_node?FS.mayDelete(new_dir,new_name,isdir):FS.mayCreate(new_dir,new_name);if(err){throw new FS.ErrnoError(err)}if(!old_dir.node_ops.rename){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isMountpoint(old_node)||new_node&&FS.isMountpoint(new_node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}if(new_dir!==old_dir){err=FS.nodePermissions(old_dir,"w");if(err){throw new FS.ErrnoError(err)}}try{if(FS.trackingDelegate["willMovePath"]){FS.trackingDelegate["willMovePath"](old_path,new_path)}}catch(e){console.log("FS.trackingDelegate['willMovePath']('"+old_path+"', '"+new_path+"') threw an exception: "+e.message)}FS.hashRemoveNode(old_node);try{old_dir.node_ops.rename(old_node,new_dir,new_name)}catch(e){throw e}finally{FS.hashAddNode(old_node)}try{if(FS.trackingDelegate["onMovePath"])FS.trackingDelegate["onMovePath"](old_path,new_path)}catch(e){console.log("FS.trackingDelegate['onMovePath']('"+old_path+"', '"+new_path+"') threw an exception: "+e.message)}}),rmdir:(function(path){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);var node=FS.lookupNode(parent,name);var err=FS.mayDelete(parent,name,true);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.rmdir){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isMountpoint(node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}try{if(FS.trackingDelegate["willDeletePath"]){FS.trackingDelegate["willDeletePath"](path)}}catch(e){console.log("FS.trackingDelegate['willDeletePath']('"+path+"') threw an exception: "+e.message)}parent.node_ops.rmdir(parent,name);FS.destroyNode(node);try{if(FS.trackingDelegate["onDeletePath"])FS.trackingDelegate["onDeletePath"](path)}catch(e){console.log("FS.trackingDelegate['onDeletePath']('"+path+"') threw an exception: "+e.message)}}),readdir:(function(path){var lookup=FS.lookupPath(path,{follow:true});var node=lookup.node;if(!node.node_ops.readdir){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}return node.node_ops.readdir(node)}),unlink:(function(path){var lookup=FS.lookupPath(path,{parent:true});var parent=lookup.node;var name=PATH.basename(path);var node=FS.lookupNode(parent,name);var err=FS.mayDelete(parent,name,false);if(err){throw new FS.ErrnoError(err)}if(!parent.node_ops.unlink){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isMountpoint(node)){throw new FS.ErrnoError(ERRNO_CODES.EBUSY)}try{if(FS.trackingDelegate["willDeletePath"]){FS.trackingDelegate["willDeletePath"](path)}}catch(e){console.log("FS.trackingDelegate['willDeletePath']('"+path+"') threw an exception: "+e.message)}parent.node_ops.unlink(parent,name);FS.destroyNode(node);try{if(FS.trackingDelegate["onDeletePath"])FS.trackingDelegate["onDeletePath"](path)}catch(e){console.log("FS.trackingDelegate['onDeletePath']('"+path+"') threw an exception: "+e.message)}}),readlink:(function(path){var lookup=FS.lookupPath(path);var link=lookup.node;if(!link){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(!link.node_ops.readlink){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}return PATH.resolve(FS.getPath(link.parent),link.node_ops.readlink(link))}),stat:(function(path,dontFollow){var lookup=FS.lookupPath(path,{follow:!dontFollow});var node=lookup.node;if(!node){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(!node.node_ops.getattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}return node.node_ops.getattr(node)}),lstat:(function(path){return FS.stat(path,true)}),chmod:(function(path,mode,dontFollow){var node;if(typeof path==="string"){var lookup=FS.lookupPath(path,{follow:!dontFollow});node=lookup.node}else{node=path}if(!node.node_ops.setattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}node.node_ops.setattr(node,{mode:mode&4095|node.mode&~4095,timestamp:Date.now()})}),lchmod:(function(path,mode){FS.chmod(path,mode,true)}),fchmod:(function(fd,mode){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}FS.chmod(stream.node,mode)}),chown:(function(path,uid,gid,dontFollow){var node;if(typeof path==="string"){var lookup=FS.lookupPath(path,{follow:!dontFollow});node=lookup.node}else{node=path}if(!node.node_ops.setattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}node.node_ops.setattr(node,{timestamp:Date.now()})}),lchown:(function(path,uid,gid){FS.chown(path,uid,gid,true)}),fchown:(function(fd,uid,gid){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}FS.chown(stream.node,uid,gid)}),truncate:(function(path,len){if(len<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var node;if(typeof path==="string"){var lookup=FS.lookupPath(path,{follow:true});node=lookup.node}else{node=path}if(!node.node_ops.setattr){throw new FS.ErrnoError(ERRNO_CODES.EPERM)}if(FS.isDir(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EISDIR)}if(!FS.isFile(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var err=FS.nodePermissions(node,"w");if(err){throw new FS.ErrnoError(err)}node.node_ops.setattr(node,{size:len,timestamp:Date.now()})}),ftruncate:(function(fd,len){var stream=FS.getStream(fd);if(!stream){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if((stream.flags&2097155)===0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}FS.truncate(stream.node,len)}),utime:(function(path,atime,mtime){var lookup=FS.lookupPath(path,{follow:true});var node=lookup.node;node.node_ops.setattr(node,{timestamp:Math.max(atime,mtime)})}),open:(function(path,flags,mode,fd_start,fd_end){if(path===""){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}flags=typeof flags==="string"?FS.modeStringToFlags(flags):flags;mode=typeof mode==="undefined"?438:mode;if(flags&64){mode=mode&4095|32768}else{mode=0}var node;if(typeof path==="object"){node=path}else{path=PATH.normalize(path);try{var lookup=FS.lookupPath(path,{follow:!(flags&131072)});node=lookup.node}catch(e){}}var created=false;if(flags&64){if(node){if(flags&128){throw new FS.ErrnoError(ERRNO_CODES.EEXIST)}}else{node=FS.mknod(path,mode,0);created=true}}if(!node){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(FS.isChrdev(node.mode)){flags&=~512}if(flags&65536&&!FS.isDir(node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}if(!created){var err=FS.mayOpen(node,flags);if(err){throw new FS.ErrnoError(err)}}if(flags&512){FS.truncate(node,0)}flags&=~(128|512);var stream=FS.createStream({node:node,path:FS.getPath(node),flags:flags,seekable:true,position:0,stream_ops:node.stream_ops,ungotten:[],error:false},fd_start,fd_end);if(stream.stream_ops.open){stream.stream_ops.open(stream)}if(Module["logReadFiles"]&&!(flags&1)){if(!FS.readFiles)FS.readFiles={};if(!(path in FS.readFiles)){FS.readFiles[path]=1;err("read file: "+path)}}try{if(FS.trackingDelegate["onOpenFile"]){var trackingFlags=0;if((flags&2097155)!==1){trackingFlags|=FS.tracking.openFlags.READ}if((flags&2097155)!==0){trackingFlags|=FS.tracking.openFlags.WRITE}FS.trackingDelegate["onOpenFile"](path,trackingFlags)}}catch(e){console.log("FS.trackingDelegate['onOpenFile']('"+path+"', flags) threw an exception: "+e.message)}return stream}),close:(function(stream){if(FS.isClosed(stream)){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(stream.getdents)stream.getdents=null;try{if(stream.stream_ops.close){stream.stream_ops.close(stream)}}catch(e){throw e}finally{FS.closeStream(stream.fd)}stream.fd=null}),isClosed:(function(stream){return stream.fd===null}),llseek:(function(stream,offset,whence){if(FS.isClosed(stream)){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(!stream.seekable||!stream.stream_ops.llseek){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)}stream.position=stream.stream_ops.llseek(stream,offset,whence);stream.ungotten=[];return stream.position}),read:(function(stream,buffer,offset,length,position){if(length<0||position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if(FS.isClosed(stream)){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if((stream.flags&2097155)===1){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(FS.isDir(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EISDIR)}if(!stream.stream_ops.read){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var seeking=typeof position!=="undefined";if(!seeking){position=stream.position}else if(!stream.seekable){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)}var bytesRead=stream.stream_ops.read(stream,buffer,offset,length,position);if(!seeking)stream.position+=bytesRead;return bytesRead}),write:(function(stream,buffer,offset,length,position,canOwn){if(length<0||position<0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if(FS.isClosed(stream)){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if((stream.flags&2097155)===0){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(FS.isDir(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.EISDIR)}if(!stream.stream_ops.write){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if(stream.flags&1024){FS.llseek(stream,0,2)}var seeking=typeof position!=="undefined";if(!seeking){position=stream.position}else if(!stream.seekable){throw new FS.ErrnoError(ERRNO_CODES.ESPIPE)}var bytesWritten=stream.stream_ops.write(stream,buffer,offset,length,position,canOwn);if(!seeking)stream.position+=bytesWritten;try{if(stream.path&&FS.trackingDelegate["onWriteToFile"])FS.trackingDelegate["onWriteToFile"](stream.path)}catch(e){console.log("FS.trackingDelegate['onWriteToFile']('"+path+"') threw an exception: "+e.message)}return bytesWritten}),allocate:(function(stream,offset,length){if(FS.isClosed(stream)){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(offset<0||length<=0){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}if((stream.flags&2097155)===0){throw new FS.ErrnoError(ERRNO_CODES.EBADF)}if(!FS.isFile(stream.node.mode)&&!FS.isDir(stream.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}if(!stream.stream_ops.allocate){throw new FS.ErrnoError(ERRNO_CODES.EOPNOTSUPP)}stream.stream_ops.allocate(stream,offset,length)}),mmap:(function(stream,buffer,offset,length,position,prot,flags){if((stream.flags&2097155)===1){throw new FS.ErrnoError(ERRNO_CODES.EACCES)}if(!stream.stream_ops.mmap){throw new FS.ErrnoError(ERRNO_CODES.ENODEV)}return stream.stream_ops.mmap(stream,buffer,offset,length,position,prot,flags)}),msync:(function(stream,buffer,offset,length,mmapFlags){if(!stream||!stream.stream_ops.msync){return 0}return stream.stream_ops.msync(stream,buffer,offset,length,mmapFlags)}),munmap:(function(stream){return 0}),ioctl:(function(stream,cmd,arg){if(!stream.stream_ops.ioctl){throw new FS.ErrnoError(ERRNO_CODES.ENOTTY)}return stream.stream_ops.ioctl(stream,cmd,arg)}),readFile:(function(path,opts){opts=opts||{};opts.flags=opts.flags||"r";opts.encoding=opts.encoding||"binary";if(opts.encoding!=="utf8"&&opts.encoding!=="binary"){throw new Error('Invalid encoding type "'+opts.encoding+'"')}var ret;var stream=FS.open(path,opts.flags);var stat=FS.stat(path);var length=stat.size;var buf=new Uint8Array(length);FS.read(stream,buf,0,length,0);if(opts.encoding==="utf8"){ret=UTF8ArrayToString(buf,0)}else if(opts.encoding==="binary"){ret=buf}FS.close(stream);return ret}),writeFile:(function(path,data,opts){opts=opts||{};opts.flags=opts.flags||"w";var stream=FS.open(path,opts.flags,opts.mode);if(typeof data==="string"){var buf=new Uint8Array(lengthBytesUTF8(data)+1);var actualNumBytes=stringToUTF8Array(data,buf,0,buf.length);FS.write(stream,buf,0,actualNumBytes,undefined,opts.canOwn)}else if(ArrayBuffer.isView(data)){FS.write(stream,data,0,data.byteLength,undefined,opts.canOwn)}else{throw new Error("Unsupported data type")}FS.close(stream)}),cwd:(function(){return FS.currentPath}),chdir:(function(path){var lookup=FS.lookupPath(path,{follow:true});if(lookup.node===null){throw new FS.ErrnoError(ERRNO_CODES.ENOENT)}if(!FS.isDir(lookup.node.mode)){throw new FS.ErrnoError(ERRNO_CODES.ENOTDIR)}var err=FS.nodePermissions(lookup.node,"x");if(err){throw new FS.ErrnoError(err)}FS.currentPath=lookup.path}),createDefaultDirectories:(function(){FS.mkdir("/tmp");FS.mkdir("/home");FS.mkdir("/home/web_user")}),createDefaultDevices:(function(){FS.mkdir("/dev");FS.registerDevice(FS.makedev(1,3),{read:(function(){return 0}),write:(function(stream,buffer,offset,length,pos){return length})});FS.mkdev("/dev/null",FS.makedev(1,3));TTY.register(FS.makedev(5,0),TTY.default_tty_ops);TTY.register(FS.makedev(6,0),TTY.default_tty1_ops);FS.mkdev("/dev/tty",FS.makedev(5,0));FS.mkdev("/dev/tty1",FS.makedev(6,0));var random_device;if(typeof crypto!=="undefined"){var randomBuffer=new Uint8Array(1);random_device=(function(){crypto.getRandomValues(randomBuffer);return randomBuffer[0]})}else if(ENVIRONMENT_IS_NODE){random_device=(function(){return require("crypto")["randomBytes"](1)[0]})}else{random_device=(function(){return Math.random()*256|0})}FS.createDevice("/dev","random",random_device);FS.createDevice("/dev","urandom",random_device);FS.mkdir("/dev/shm");FS.mkdir("/dev/shm/tmp")}),createSpecialDirectories:(function(){FS.mkdir("/proc");FS.mkdir("/proc/self");FS.mkdir("/proc/self/fd");FS.mount({mount:(function(){var node=FS.createNode("/proc/self","fd",16384|511,73);node.node_ops={lookup:(function(parent,name){var fd=+name;var stream=FS.getStream(fd);if(!stream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);var ret={parent:null,mount:{mountpoint:"fake"},node_ops:{readlink:(function(){return stream.path})}};ret.parent=ret;return ret})};return node})},{},"/proc/self/fd")}),createStandardStreams:(function(){if(Module["stdin"]){FS.createDevice("/dev","stdin",Module["stdin"])}else{FS.symlink("/dev/tty","/dev/stdin")}if(Module["stdout"]){FS.createDevice("/dev","stdout",null,Module["stdout"])}else{FS.symlink("/dev/tty","/dev/stdout")}if(Module["stderr"]){FS.createDevice("/dev","stderr",null,Module["stderr"])}else{FS.symlink("/dev/tty1","/dev/stderr")}var stdin=FS.open("/dev/stdin","r");assert(stdin.fd===0,"invalid handle for stdin ("+stdin.fd+")");var stdout=FS.open("/dev/stdout","w");assert(stdout.fd===1,"invalid handle for stdout ("+stdout.fd+")");var stderr=FS.open("/dev/stderr","w");assert(stderr.fd===2,"invalid handle for stderr ("+stderr.fd+")")}),ensureErrnoError:(function(){if(FS.ErrnoError)return;FS.ErrnoError=function ErrnoError(errno,node){this.node=node;this.setErrno=(function(errno){this.errno=errno;for(var key in ERRNO_CODES){if(ERRNO_CODES[key]===errno){this.code=key;break}}});this.setErrno(errno);this.message=ERRNO_MESSAGES[errno];if(this.stack)Object.defineProperty(this,"stack",{value:(new Error).stack,writable:true})};FS.ErrnoError.prototype=new Error;FS.ErrnoError.prototype.constructor=FS.ErrnoError;[ERRNO_CODES.ENOENT].forEach((function(code){FS.genericErrors[code]=new FS.ErrnoError(code);FS.genericErrors[code].stack="<generic error, no stack>"}))}),staticInit:(function(){FS.ensureErrnoError();FS.nameTable=new Array(4096);FS.mount(MEMFS,{},"/");FS.createDefaultDirectories();FS.createDefaultDevices();FS.createSpecialDirectories();FS.filesystems={"MEMFS":MEMFS,"IDBFS":IDBFS,"NODEFS":NODEFS,"WORKERFS":WORKERFS}}),init:(function(input,output,error){assert(!FS.init.initialized,"FS.init was previously called. If you want to initialize later with custom parameters, remove any earlier calls (note that one is automatically added to the generated code)");FS.init.initialized=true;FS.ensureErrnoError();Module["stdin"]=input||Module["stdin"];Module["stdout"]=output||Module["stdout"];Module["stderr"]=error||Module["stderr"];FS.createStandardStreams()}),quit:(function(){FS.init.initialized=false;var fflush=Module["_fflush"];if(fflush)fflush(0);for(var i=0;i<FS.streams.length;i++){var stream=FS.streams[i];if(!stream){continue}FS.close(stream)}}),getMode:(function(canRead,canWrite){var mode=0;if(canRead)mode|=292|73;if(canWrite)mode|=146;return mode}),joinPath:(function(parts,forceRelative){var path=PATH.join.apply(null,parts);if(forceRelative&&path[0]=="/")path=path.substr(1);return path}),absolutePath:(function(relative,base){return PATH.resolve(base,relative)}),standardizePath:(function(path){return PATH.normalize(path)}),findObject:(function(path,dontResolveLastLink){var ret=FS.analyzePath(path,dontResolveLastLink);if(ret.exists){return ret.object}else{___setErrNo(ret.error);return null}}),analyzePath:(function(path,dontResolveLastLink){try{var lookup=FS.lookupPath(path,{follow:!dontResolveLastLink});path=lookup.path}catch(e){}var ret={isRoot:false,exists:false,error:0,name:null,path:null,object:null,parentExists:false,parentPath:null,parentObject:null};try{var lookup=FS.lookupPath(path,{parent:true});ret.parentExists=true;ret.parentPath=lookup.path;ret.parentObject=lookup.node;ret.name=PATH.basename(path);lookup=FS.lookupPath(path,{follow:!dontResolveLastLink});ret.exists=true;ret.path=lookup.path;ret.object=lookup.node;ret.name=lookup.node.name;ret.isRoot=lookup.path==="/"}catch(e){ret.error=e.errno}return ret}),createFolder:(function(parent,name,canRead,canWrite){var path=PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name);var mode=FS.getMode(canRead,canWrite);return FS.mkdir(path,mode)}),createPath:(function(parent,path,canRead,canWrite){parent=typeof parent==="string"?parent:FS.getPath(parent);var parts=path.split("/").reverse();while(parts.length){var part=parts.pop();if(!part)continue;var current=PATH.join2(parent,part);try{FS.mkdir(current)}catch(e){}parent=current}return current}),createFile:(function(parent,name,properties,canRead,canWrite){var path=PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name);var mode=FS.getMode(canRead,canWrite);return FS.create(path,mode)}),createDataFile:(function(parent,name,data,canRead,canWrite,canOwn){var path=name?PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name):parent;var mode=FS.getMode(canRead,canWrite);var node=FS.create(path,mode);if(data){if(typeof data==="string"){var arr=new Array(data.length);for(var i=0,len=data.length;i<len;++i)arr[i]=data.charCodeAt(i);data=arr}FS.chmod(node,mode|146);var stream=FS.open(node,"w");FS.write(stream,data,0,data.length,0,canOwn);FS.close(stream);FS.chmod(node,mode)}return node}),createDevice:(function(parent,name,input,output){var path=PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name);var mode=FS.getMode(!!input,!!output);if(!FS.createDevice.major)FS.createDevice.major=64;var dev=FS.makedev(FS.createDevice.major++,0);FS.registerDevice(dev,{open:(function(stream){stream.seekable=false}),close:(function(stream){if(output&&output.buffer&&output.buffer.length){output(10)}}),read:(function(stream,buffer,offset,length,pos){var bytesRead=0;for(var i=0;i<length;i++){var result;try{result=input()}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}if(result===undefined&&bytesRead===0){throw new FS.ErrnoError(ERRNO_CODES.EAGAIN)}if(result===null||result===undefined)break;bytesRead++;buffer[offset+i]=result}if(bytesRead){stream.node.timestamp=Date.now()}return bytesRead}),write:(function(stream,buffer,offset,length,pos){for(var i=0;i<length;i++){try{output(buffer[offset+i])}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EIO)}}if(length){stream.node.timestamp=Date.now()}return i})});return FS.mkdev(path,mode,dev)}),createLink:(function(parent,name,target,canRead,canWrite){var path=PATH.join2(typeof parent==="string"?parent:FS.getPath(parent),name);return FS.symlink(target,path)}),forceLoadFile:(function(obj){if(obj.isDevice||obj.isFolder||obj.link||obj.contents)return true;var success=true;if(typeof XMLHttpRequest!=="undefined"){throw new Error("Lazy loading should have been performed (contents set) in createLazyFile, but it was not. Lazy loading only works in web workers. Use --embed-file or --preload-file in emcc on the main thread.")}else if(Module["read"]){try{obj.contents=intArrayFromString(Module["read"](obj.url),true);obj.usedBytes=obj.contents.length}catch(e){success=false}}else{throw new Error("Cannot load without read() or XMLHttpRequest.")}if(!success)___setErrNo(ERRNO_CODES.EIO);return success}),createLazyFile:(function(parent,name,url,canRead,canWrite){function LazyUint8Array(){this.lengthKnown=false;this.chunks=[]}LazyUint8Array.prototype.get=function LazyUint8Array_get(idx){if(idx>this.length-1||idx<0){return undefined}var chunkOffset=idx%this.chunkSize;var chunkNum=idx/this.chunkSize|0;return this.getter(chunkNum)[chunkOffset]};LazyUint8Array.prototype.setDataGetter=function LazyUint8Array_setDataGetter(getter){this.getter=getter};LazyUint8Array.prototype.cacheLength=function LazyUint8Array_cacheLength(){var xhr=new XMLHttpRequest;xhr.open("HEAD",url,false);xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error("Couldn't load "+url+". Status: "+xhr.status);var datalength=Number(xhr.getResponseHeader("Content-length"));var header;var hasByteServing=(header=xhr.getResponseHeader("Accept-Ranges"))&&header==="bytes";var usesGzip=(header=xhr.getResponseHeader("Content-Encoding"))&&header==="gzip";var chunkSize=1024*1024;if(!hasByteServing)chunkSize=datalength;var doXHR=(function(from,to){if(from>to)throw new Error("invalid range ("+from+", "+to+") or no bytes requested!");if(to>datalength-1)throw new Error("only "+datalength+" bytes available! programmer error!");var xhr=new XMLHttpRequest;xhr.open("GET",url,false);if(datalength!==chunkSize)xhr.setRequestHeader("Range","bytes="+from+"-"+to);if(typeof Uint8Array!="undefined")xhr.responseType="arraybuffer";if(xhr.overrideMimeType){xhr.overrideMimeType("text/plain; charset=x-user-defined")}xhr.send(null);if(!(xhr.status>=200&&xhr.status<300||xhr.status===304))throw new Error("Couldn't load "+url+". Status: "+xhr.status);if(xhr.response!==undefined){return new Uint8Array(xhr.response||[])}else{return intArrayFromString(xhr.responseText||"",true)}});var lazyArray=this;lazyArray.setDataGetter((function(chunkNum){var start=chunkNum*chunkSize;var end=(chunkNum+1)*chunkSize-1;end=Math.min(end,datalength-1);if(typeof lazyArray.chunks[chunkNum]==="undefined"){lazyArray.chunks[chunkNum]=doXHR(start,end)}if(typeof lazyArray.chunks[chunkNum]==="undefined")throw new Error("doXHR failed!");return lazyArray.chunks[chunkNum]}));if(usesGzip||!datalength){chunkSize=datalength=1;datalength=this.getter(0).length;chunkSize=datalength;console.log("LazyFiles on gzip forces download of the whole file when length is accessed")}this._length=datalength;this._chunkSize=chunkSize;this.lengthKnown=true};if(typeof XMLHttpRequest!=="undefined"){if(!ENVIRONMENT_IS_WORKER)throw"Cannot do synchronous binary XHRs outside webworkers in modern browsers. Use --embed-file or --preload-file in emcc";var lazyArray=new LazyUint8Array;Object.defineProperties(lazyArray,{length:{get:(function(){if(!this.lengthKnown){this.cacheLength()}return this._length})},chunkSize:{get:(function(){if(!this.lengthKnown){this.cacheLength()}return this._chunkSize})}});var properties={isDevice:false,contents:lazyArray}}else{var properties={isDevice:false,url:url}}var node=FS.createFile(parent,name,properties,canRead,canWrite);if(properties.contents){node.contents=properties.contents}else if(properties.url){node.contents=null;node.url=properties.url}Object.defineProperties(node,{usedBytes:{get:(function(){return this.contents.length})}});var stream_ops={};var keys=Object.keys(node.stream_ops);keys.forEach((function(key){var fn=node.stream_ops[key];stream_ops[key]=function forceLoadLazyFile(){if(!FS.forceLoadFile(node)){throw new FS.ErrnoError(ERRNO_CODES.EIO)}return fn.apply(null,arguments)}}));stream_ops.read=function stream_ops_read(stream,buffer,offset,length,position){if(!FS.forceLoadFile(node)){throw new FS.ErrnoError(ERRNO_CODES.EIO)}var contents=stream.node.contents;if(position>=contents.length)return 0;var size=Math.min(contents.length-position,length);assert(size>=0);if(contents.slice){for(var i=0;i<size;i++){buffer[offset+i]=contents[position+i]}}else{for(var i=0;i<size;i++){buffer[offset+i]=contents.get(position+i)}}return size};node.stream_ops=stream_ops;return node}),createPreloadedFile:(function(parent,name,url,canRead,canWrite,onload,onerror,dontCreateFile,canOwn,preFinish){Browser.init();var fullname=name?PATH.resolve(PATH.join2(parent,name)):parent;var dep=getUniqueRunDependency("cp "+fullname);function processData(byteArray){function finish(byteArray){if(preFinish)preFinish();if(!dontCreateFile){FS.createDataFile(parent,name,byteArray,canRead,canWrite,canOwn)}if(onload)onload();removeRunDependency(dep)}var handled=false;Module["preloadPlugins"].forEach((function(plugin){if(handled)return;if(plugin["canHandle"](fullname)){plugin["handle"](byteArray,fullname,finish,(function(){if(onerror)onerror();removeRunDependency(dep)}));handled=true}}));if(!handled)finish(byteArray)}addRunDependency(dep);if(typeof url=="string"){Browser.asyncLoad(url,(function(byteArray){processData(byteArray)}),onerror)}else{processData(url)}}),indexedDB:(function(){return window.indexedDB||window.mozIndexedDB||window.webkitIndexedDB||window.msIndexedDB}),DB_NAME:(function(){return"EM_FS_"+window.location.pathname}),DB_VERSION:20,DB_STORE_NAME:"FILE_DATA",saveFilesToDB:(function(paths,onload,onerror){onload=onload||(function(){});onerror=onerror||(function(){});var indexedDB=FS.indexedDB();try{var openRequest=indexedDB.open(FS.DB_NAME(),FS.DB_VERSION)}catch(e){return onerror(e)}openRequest.onupgradeneeded=function openRequest_onupgradeneeded(){console.log("creating db");var db=openRequest.result;db.createObjectStore(FS.DB_STORE_NAME)};openRequest.onsuccess=function openRequest_onsuccess(){var db=openRequest.result;var transaction=db.transaction([FS.DB_STORE_NAME],"readwrite");var files=transaction.objectStore(FS.DB_STORE_NAME);var ok=0,fail=0,total=paths.length;function finish(){if(fail==0)onload();else onerror()}paths.forEach((function(path){var putRequest=files.put(FS.analyzePath(path).object.contents,path);putRequest.onsuccess=function putRequest_onsuccess(){ok++;if(ok+fail==total)finish()};putRequest.onerror=function putRequest_onerror(){fail++;if(ok+fail==total)finish()}}));transaction.onerror=onerror};openRequest.onerror=onerror}),loadFilesFromDB:(function(paths,onload,onerror){onload=onload||(function(){});onerror=onerror||(function(){});var indexedDB=FS.indexedDB();try{var openRequest=indexedDB.open(FS.DB_NAME(),FS.DB_VERSION)}catch(e){return onerror(e)}openRequest.onupgradeneeded=onerror;openRequest.onsuccess=function openRequest_onsuccess(){var db=openRequest.result;try{var transaction=db.transaction([FS.DB_STORE_NAME],"readonly")}catch(e){onerror(e);return}var files=transaction.objectStore(FS.DB_STORE_NAME);var ok=0,fail=0,total=paths.length;function finish(){if(fail==0)onload();else onerror()}paths.forEach((function(path){var getRequest=files.get(path);getRequest.onsuccess=function getRequest_onsuccess(){if(FS.analyzePath(path).exists){FS.unlink(path)}FS.createDataFile(PATH.dirname(path),PATH.basename(path),getRequest.result,true,true,true);ok++;if(ok+fail==total)finish()};getRequest.onerror=function getRequest_onerror(){fail++;if(ok+fail==total)finish()}}));transaction.onerror=onerror};openRequest.onerror=onerror})};var SYSCALLS={DEFAULT_POLLMASK:5,mappings:{},umask:511,calculateAt:(function(dirfd,path){if(path[0]!=="/"){var dir;if(dirfd===-100){dir=FS.cwd()}else{var dirstream=FS.getStream(dirfd);if(!dirstream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);dir=dirstream.path}path=PATH.join2(dir,path)}return path}),doStat:(function(func,path,buf){try{var stat=func(path)}catch(e){if(e&&e.node&&PATH.normalize(path)!==PATH.normalize(FS.getPath(e.node))){return-ERRNO_CODES.ENOTDIR}throw e}HEAP32[buf>>2]=stat.dev;HEAP32[buf+4>>2]=0;HEAP32[buf+8>>2]=stat.ino;HEAP32[buf+12>>2]=stat.mode;HEAP32[buf+16>>2]=stat.nlink;HEAP32[buf+20>>2]=stat.uid;HEAP32[buf+24>>2]=stat.gid;HEAP32[buf+28>>2]=stat.rdev;HEAP32[buf+32>>2]=0;HEAP32[buf+36>>2]=stat.size;HEAP32[buf+40>>2]=4096;HEAP32[buf+44>>2]=stat.blocks;HEAP32[buf+48>>2]=stat.atime.getTime()/1e3|0;HEAP32[buf+52>>2]=0;HEAP32[buf+56>>2]=stat.mtime.getTime()/1e3|0;HEAP32[buf+60>>2]=0;HEAP32[buf+64>>2]=stat.ctime.getTime()/1e3|0;HEAP32[buf+68>>2]=0;HEAP32[buf+72>>2]=stat.ino;return 0}),doMsync:(function(addr,stream,len,flags){var buffer=new Uint8Array(HEAPU8.subarray(addr,addr+len));FS.msync(stream,buffer,0,len,flags)}),doMkdir:(function(path,mode){path=PATH.normalize(path);if(path[path.length-1]==="/")path=path.substr(0,path.length-1);FS.mkdir(path,mode,0);return 0}),doMknod:(function(path,mode,dev){switch(mode&61440){case 32768:case 8192:case 24576:case 4096:case 49152:break;default:return-ERRNO_CODES.EINVAL}FS.mknod(path,mode,dev);return 0}),doReadlink:(function(path,buf,bufsize){if(bufsize<=0)return-ERRNO_CODES.EINVAL;var ret=FS.readlink(path);var len=Math.min(bufsize,lengthBytesUTF8(ret));var endChar=HEAP8[buf+len];stringToUTF8(ret,buf,bufsize+1);HEAP8[buf+len]=endChar;return len}),doAccess:(function(path,amode){if(amode&~7){return-ERRNO_CODES.EINVAL}var node;var lookup=FS.lookupPath(path,{follow:true});node=lookup.node;var perms="";if(amode&4)perms+="r";if(amode&2)perms+="w";if(amode&1)perms+="x";if(perms&&FS.nodePermissions(node,perms)){return-ERRNO_CODES.EACCES}return 0}),doDup:(function(path,flags,suggestFD){var suggest=FS.getStream(suggestFD);if(suggest)FS.close(suggest);return FS.open(path,flags,0,suggestFD,suggestFD).fd}),doReadv:(function(stream,iov,iovcnt,offset){var ret=0;for(var i=0;i<iovcnt;i++){var ptr=HEAP32[iov+i*8>>2];var len=HEAP32[iov+(i*8+4)>>2];var curr=FS.read(stream,HEAP8,ptr,len,offset);if(curr<0)return-1;ret+=curr;if(curr<len)break}return ret}),doWritev:(function(stream,iov,iovcnt,offset){var ret=0;for(var i=0;i<iovcnt;i++){var ptr=HEAP32[iov+i*8>>2];var len=HEAP32[iov+(i*8+4)>>2];var curr=FS.write(stream,HEAP8,ptr,len,offset);if(curr<0)return-1;ret+=curr}return ret}),varargs:0,get:(function(varargs){SYSCALLS.varargs+=4;var ret=HEAP32[SYSCALLS.varargs-4>>2];return ret}),getStr:(function(){var ret=Pointer_stringify(SYSCALLS.get());return ret}),getStreamFromFD:(function(){var stream=FS.getStream(SYSCALLS.get());if(!stream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);return stream}),getSocketFromFD:(function(){var socket=SOCKFS.getSocket(SYSCALLS.get());if(!socket)throw new FS.ErrnoError(ERRNO_CODES.EBADF);return socket}),getSocketAddress:(function(allowNull){var addrp=SYSCALLS.get(),addrlen=SYSCALLS.get();if(allowNull&&addrp===0)return null;var info=__read_sockaddr(addrp,addrlen);if(info.errno)throw new FS.ErrnoError(info.errno);info.addr=DNS.lookup_addr(info.addr)||info.addr;return info}),get64:(function(){var low=SYSCALLS.get(),high=SYSCALLS.get();if(low>=0)assert(high===0);else assert(high===-1);return low}),getZero:(function(){assert(SYSCALLS.get()===0)})};function ___syscall10(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr();FS.unlink(path);return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}var SOCKFS={mount:(function(mount){Module["websocket"]=Module["websocket"]&&"object"===typeof Module["websocket"]?Module["websocket"]:{};Module["websocket"]._callbacks={};Module["websocket"]["on"]=(function(event,callback){if("function"===typeof callback){this._callbacks[event]=callback}return this});Module["websocket"].emit=(function(event,param){if("function"===typeof this._callbacks[event]){this._callbacks[event].call(this,param)}});return FS.createNode(null,"/",16384|511,0)}),createSocket:(function(family,type,protocol){var streaming=type==1;if(protocol){assert(streaming==(protocol==6))}var sock={family:family,type:type,protocol:protocol,server:null,error:null,peers:{},pending:[],recv_queue:[],sock_ops:SOCKFS.websocket_sock_ops};var name=SOCKFS.nextname();var node=FS.createNode(SOCKFS.root,name,49152,0);node.sock=sock;var stream=FS.createStream({path:name,node:node,flags:FS.modeStringToFlags("r+"),seekable:false,stream_ops:SOCKFS.stream_ops});sock.stream=stream;return sock}),getSocket:(function(fd){var stream=FS.getStream(fd);if(!stream||!FS.isSocket(stream.node.mode)){return null}return stream.node.sock}),stream_ops:{poll:(function(stream){var sock=stream.node.sock;return sock.sock_ops.poll(sock)}),ioctl:(function(stream,request,varargs){var sock=stream.node.sock;return sock.sock_ops.ioctl(sock,request,varargs)}),read:(function(stream,buffer,offset,length,position){var sock=stream.node.sock;var msg=sock.sock_ops.recvmsg(sock,length);if(!msg){return 0}buffer.set(msg.buffer,offset);return msg.buffer.length}),write:(function(stream,buffer,offset,length,position){var sock=stream.node.sock;return sock.sock_ops.sendmsg(sock,buffer,offset,length)}),close:(function(stream){var sock=stream.node.sock;sock.sock_ops.close(sock)})},nextname:(function(){if(!SOCKFS.nextname.current){SOCKFS.nextname.current=0}return"socket["+SOCKFS.nextname.current++ +"]"}),websocket_sock_ops:{createPeer:(function(sock,addr,port){var ws;if(typeof addr==="object"){ws=addr;addr=null;port=null}if(ws){if(ws._socket){addr=ws._socket.remoteAddress;port=ws._socket.remotePort}else{var result=/ws[s]?:\/\/([^:]+):(\d+)/.exec(ws.url);if(!result){throw new Error("WebSocket URL must be in the format ws(s)://address:port")}addr=result[1];port=parseInt(result[2],10)}}else{try{var runtimeConfig=Module["websocket"]&&"object"===typeof Module["websocket"];var url="ws:#".replace("#","//");if(runtimeConfig){if("string"===typeof Module["websocket"]["url"]){url=Module["websocket"]["url"]}}if(url==="ws://"||url==="wss://"){var parts=addr.split("/");url=url+parts[0]+":"+port+"/"+parts.slice(1).join("/")}var subProtocols="binary";if(runtimeConfig){if("string"===typeof Module["websocket"]["subprotocol"]){subProtocols=Module["websocket"]["subprotocol"]}}subProtocols=subProtocols.replace(/^ +| +$/g,"").split(/ *, */);var opts=ENVIRONMENT_IS_NODE?{"protocol":subProtocols.toString()}:subProtocols;if(runtimeConfig&&null===Module["websocket"]["subprotocol"]){subProtocols="null";opts=undefined}var WebSocketConstructor;if(ENVIRONMENT_IS_NODE){WebSocketConstructor=require("ws")}else if(ENVIRONMENT_IS_WEB){WebSocketConstructor=window["WebSocket"]}else{WebSocketConstructor=WebSocket}ws=new WebSocketConstructor(url,opts);ws.binaryType="arraybuffer"}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EHOSTUNREACH)}}var peer={addr:addr,port:port,socket:ws,dgram_send_queue:[]};SOCKFS.websocket_sock_ops.addPeer(sock,peer);SOCKFS.websocket_sock_ops.handlePeerEvents(sock,peer);if(sock.type===2&&typeof sock.sport!=="undefined"){peer.dgram_send_queue.push(new Uint8Array([255,255,255,255,"p".charCodeAt(0),"o".charCodeAt(0),"r".charCodeAt(0),"t".charCodeAt(0),(sock.sport&65280)>>8,sock.sport&255]))}return peer}),getPeer:(function(sock,addr,port){return sock.peers[addr+":"+port]}),addPeer:(function(sock,peer){sock.peers[peer.addr+":"+peer.port]=peer}),removePeer:(function(sock,peer){delete sock.peers[peer.addr+":"+peer.port]}),handlePeerEvents:(function(sock,peer){var first=true;var handleOpen=(function(){Module["websocket"].emit("open",sock.stream.fd);try{var queued=peer.dgram_send_queue.shift();while(queued){peer.socket.send(queued);queued=peer.dgram_send_queue.shift()}}catch(e){peer.socket.close()}});function handleMessage(data){assert(typeof data!=="string"&&data.byteLength!==undefined);if(data.byteLength==0){return}data=new Uint8Array(data);var wasfirst=first;first=false;if(wasfirst&&data.length===10&&data[0]===255&&data[1]===255&&data[2]===255&&data[3]===255&&data[4]==="p".charCodeAt(0)&&data[5]==="o".charCodeAt(0)&&data[6]==="r".charCodeAt(0)&&data[7]==="t".charCodeAt(0)){var newport=data[8]<<8|data[9];SOCKFS.websocket_sock_ops.removePeer(sock,peer);peer.port=newport;SOCKFS.websocket_sock_ops.addPeer(sock,peer);return}sock.recv_queue.push({addr:peer.addr,port:peer.port,data:data});Module["websocket"].emit("message",sock.stream.fd)}if(ENVIRONMENT_IS_NODE){peer.socket.on("open",handleOpen);peer.socket.on("message",(function(data,flags){if(!flags.binary){return}handleMessage((new Uint8Array(data)).buffer)}));peer.socket.on("close",(function(){Module["websocket"].emit("close",sock.stream.fd)}));peer.socket.on("error",(function(error){sock.error=ERRNO_CODES.ECONNREFUSED;Module["websocket"].emit("error",[sock.stream.fd,sock.error,"ECONNREFUSED: Connection refused"])}))}else{peer.socket.onopen=handleOpen;peer.socket.onclose=(function(){Module["websocket"].emit("close",sock.stream.fd)});peer.socket.onmessage=function peer_socket_onmessage(event){handleMessage(event.data)};peer.socket.onerror=(function(error){sock.error=ERRNO_CODES.ECONNREFUSED;Module["websocket"].emit("error",[sock.stream.fd,sock.error,"ECONNREFUSED: Connection refused"])})}}),poll:(function(sock){if(sock.type===1&&sock.server){return sock.pending.length?64|1:0}var mask=0;var dest=sock.type===1?SOCKFS.websocket_sock_ops.getPeer(sock,sock.daddr,sock.dport):null;if(sock.recv_queue.length||!dest||dest&&dest.socket.readyState===dest.socket.CLOSING||dest&&dest.socket.readyState===dest.socket.CLOSED){mask|=64|1}if(!dest||dest&&dest.socket.readyState===dest.socket.OPEN){mask|=4}if(dest&&dest.socket.readyState===dest.socket.CLOSING||dest&&dest.socket.readyState===dest.socket.CLOSED){mask|=16}return mask}),ioctl:(function(sock,request,arg){switch(request){case 21531:var bytes=0;if(sock.recv_queue.length){bytes=sock.recv_queue[0].data.length}HEAP32[arg>>2]=bytes;return 0;default:return ERRNO_CODES.EINVAL}}),close:(function(sock){if(sock.server){try{sock.server.close()}catch(e){}sock.server=null}var peers=Object.keys(sock.peers);for(var i=0;i<peers.length;i++){var peer=sock.peers[peers[i]];try{peer.socket.close()}catch(e){}SOCKFS.websocket_sock_ops.removePeer(sock,peer)}return 0}),bind:(function(sock,addr,port){if(typeof sock.saddr!=="undefined"||typeof sock.sport!=="undefined"){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}sock.saddr=addr;sock.sport=port;if(sock.type===2){if(sock.server){sock.server.close();sock.server=null}try{sock.sock_ops.listen(sock,0)}catch(e){if(!(e instanceof FS.ErrnoError))throw e;if(e.errno!==ERRNO_CODES.EOPNOTSUPP)throw e}}}),connect:(function(sock,addr,port){if(sock.server){throw new FS.ErrnoError(ERRNO_CODES.EOPNOTSUPP)}if(typeof sock.daddr!=="undefined"&&typeof sock.dport!=="undefined"){var dest=SOCKFS.websocket_sock_ops.getPeer(sock,sock.daddr,sock.dport);if(dest){if(dest.socket.readyState===dest.socket.CONNECTING){throw new FS.ErrnoError(ERRNO_CODES.EALREADY)}else{throw new FS.ErrnoError(ERRNO_CODES.EISCONN)}}}var peer=SOCKFS.websocket_sock_ops.createPeer(sock,addr,port);sock.daddr=peer.addr;sock.dport=peer.port;throw new FS.ErrnoError(ERRNO_CODES.EINPROGRESS)}),listen:(function(sock,backlog){if(!ENVIRONMENT_IS_NODE){throw new FS.ErrnoError(ERRNO_CODES.EOPNOTSUPP)}if(sock.server){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var WebSocketServer=require("ws").Server;var host=sock.saddr;sock.server=new WebSocketServer({host:host,port:sock.sport});Module["websocket"].emit("listen",sock.stream.fd);sock.server.on("connection",(function(ws){if(sock.type===1){var newsock=SOCKFS.createSocket(sock.family,sock.type,sock.protocol);var peer=SOCKFS.websocket_sock_ops.createPeer(newsock,ws);newsock.daddr=peer.addr;newsock.dport=peer.port;sock.pending.push(newsock);Module["websocket"].emit("connection",newsock.stream.fd)}else{SOCKFS.websocket_sock_ops.createPeer(sock,ws);Module["websocket"].emit("connection",sock.stream.fd)}}));sock.server.on("closed",(function(){Module["websocket"].emit("close",sock.stream.fd);sock.server=null}));sock.server.on("error",(function(error){sock.error=ERRNO_CODES.EHOSTUNREACH;Module["websocket"].emit("error",[sock.stream.fd,sock.error,"EHOSTUNREACH: Host is unreachable"])}))}),accept:(function(listensock){if(!listensock.server){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}var newsock=listensock.pending.shift();newsock.stream.flags=listensock.stream.flags;return newsock}),getname:(function(sock,peer){var addr,port;if(peer){if(sock.daddr===undefined||sock.dport===undefined){throw new FS.ErrnoError(ERRNO_CODES.ENOTCONN)}addr=sock.daddr;port=sock.dport}else{addr=sock.saddr||0;port=sock.sport||0}return{addr:addr,port:port}}),sendmsg:(function(sock,buffer,offset,length,addr,port){if(sock.type===2){if(addr===undefined||port===undefined){addr=sock.daddr;port=sock.dport}if(addr===undefined||port===undefined){throw new FS.ErrnoError(ERRNO_CODES.EDESTADDRREQ)}}else{addr=sock.daddr;port=sock.dport}var dest=SOCKFS.websocket_sock_ops.getPeer(sock,addr,port);if(sock.type===1){if(!dest||dest.socket.readyState===dest.socket.CLOSING||dest.socket.readyState===dest.socket.CLOSED){throw new FS.ErrnoError(ERRNO_CODES.ENOTCONN)}else if(dest.socket.readyState===dest.socket.CONNECTING){throw new FS.ErrnoError(ERRNO_CODES.EAGAIN)}}if(ArrayBuffer.isView(buffer)){offset+=buffer.byteOffset;buffer=buffer.buffer}var data;data=buffer.slice(offset,offset+length);if(sock.type===2){if(!dest||dest.socket.readyState!==dest.socket.OPEN){if(!dest||dest.socket.readyState===dest.socket.CLOSING||dest.socket.readyState===dest.socket.CLOSED){dest=SOCKFS.websocket_sock_ops.createPeer(sock,addr,port)}dest.dgram_send_queue.push(data);return length}}try{dest.socket.send(data);return length}catch(e){throw new FS.ErrnoError(ERRNO_CODES.EINVAL)}}),recvmsg:(function(sock,length){if(sock.type===1&&sock.server){throw new FS.ErrnoError(ERRNO_CODES.ENOTCONN)}var queued=sock.recv_queue.shift();if(!queued){if(sock.type===1){var dest=SOCKFS.websocket_sock_ops.getPeer(sock,sock.daddr,sock.dport);if(!dest){throw new FS.ErrnoError(ERRNO_CODES.ENOTCONN)}else if(dest.socket.readyState===dest.socket.CLOSING||dest.socket.readyState===dest.socket.CLOSED){return null}else{throw new FS.ErrnoError(ERRNO_CODES.EAGAIN)}}else{throw new FS.ErrnoError(ERRNO_CODES.EAGAIN)}}var queuedLength=queued.data.byteLength||queued.data.length;var queuedOffset=queued.data.byteOffset||0;var queuedBuffer=queued.data.buffer||queued.data;var bytesRead=Math.min(length,queuedLength);var res={buffer:new Uint8Array(queuedBuffer,queuedOffset,bytesRead),addr:queued.addr,port:queued.port};if(sock.type===1&&bytesRead<queuedLength){var bytesRemaining=queuedLength-bytesRead;queued.data=new Uint8Array(queuedBuffer,queuedOffset+bytesRead,bytesRemaining);sock.recv_queue.unshift(queued)}return res})}};function __inet_pton4_raw(str){var b=str.split(".");for(var i=0;i<4;i++){var tmp=Number(b[i]);if(isNaN(tmp))return null;b[i]=tmp}return(b[0]|b[1]<<8|b[2]<<16|b[3]<<24)>>>0}function __inet_pton6_raw(str){var words;var w,offset,z;var valid6regx=/^((?=.*::)(?!.*::.+::)(::)?([\dA-F]{1,4}:(:|\b)|){5}|([\dA-F]{1,4}:){6})((([\dA-F]{1,4}((?!\3)::|:\b|$))|(?!\2\3)){2}|(((2[0-4]|1\d|[1-9])?\d|25[0-5])\.?\b){4})$/i;var parts=[];if(!valid6regx.test(str)){return null}if(str==="::"){return[0,0,0,0,0,0,0,0]}if(str.indexOf("::")===0){str=str.replace("::","Z:")}else{str=str.replace("::",":Z:")}if(str.indexOf(".")>0){str=str.replace(new RegExp("[.]","g"),":");words=str.split(":");words[words.length-4]=parseInt(words[words.length-4])+parseInt(words[words.length-3])*256;words[words.length-3]=parseInt(words[words.length-2])+parseInt(words[words.length-1])*256;words=words.slice(0,words.length-2)}else{words=str.split(":")}offset=0;z=0;for(w=0;w<words.length;w++){if(typeof words[w]==="string"){if(words[w]==="Z"){for(z=0;z<8-words.length+1;z++){parts[w+z]=0}offset=z-1}else{parts[w+offset]=_htons(parseInt(words[w],16))}}else{parts[w+offset]=words[w]}}return[parts[1]<<16|parts[0],parts[3]<<16|parts[2],parts[5]<<16|parts[4],parts[7]<<16|parts[6]]}var DNS={address_map:{id:1,addrs:{},names:{}},lookup_name:(function(name){var res=__inet_pton4_raw(name);if(res!==null){return name}res=__inet_pton6_raw(name);if(res!==null){return name}var addr;if(DNS.address_map.addrs[name]){addr=DNS.address_map.addrs[name]}else{var id=DNS.address_map.id++;assert(id<65535,"exceeded max address mappings of 65535");addr="172.29."+(id&255)+"."+(id&65280);DNS.address_map.names[addr]=name;DNS.address_map.addrs[name]=addr}return addr}),lookup_addr:(function(addr){if(DNS.address_map.names[addr]){return DNS.address_map.names[addr]}return null})};function __inet_ntop4_raw(addr){return(addr&255)+"."+(addr>>8&255)+"."+(addr>>16&255)+"."+(addr>>24&255)}function __inet_ntop6_raw(ints){var str="";var word=0;var longest=0;var lastzero=0;var zstart=0;var len=0;var i=0;var parts=[ints[0]&65535,ints[0]>>16,ints[1]&65535,ints[1]>>16,ints[2]&65535,ints[2]>>16,ints[3]&65535,ints[3]>>16];var hasipv4=true;var v4part="";for(i=0;i<5;i++){if(parts[i]!==0){hasipv4=false;break}}if(hasipv4){v4part=__inet_ntop4_raw(parts[6]|parts[7]<<16);if(parts[5]===-1){str="::ffff:";str+=v4part;return str}if(parts[5]===0){str="::";if(v4part==="0.0.0.0")v4part="";if(v4part==="0.0.0.1")v4part="1";str+=v4part;return str}}for(word=0;word<8;word++){if(parts[word]===0){if(word-lastzero>1){len=0}lastzero=word;len++}if(len>longest){longest=len;zstart=word-longest+1}}for(word=0;word<8;word++){if(longest>1){if(parts[word]===0&&word>=zstart&&word<zstart+longest){if(word===zstart){str+=":";if(zstart===0)str+=":"}continue}}str+=Number(_ntohs(parts[word]&65535)).toString(16);str+=word<7?":":""}return str}function __read_sockaddr(sa,salen){var family=HEAP16[sa>>1];var port=_ntohs(HEAP16[sa+2>>1]);var addr;switch(family){case 2:if(salen!==16){return{errno:ERRNO_CODES.EINVAL}}addr=HEAP32[sa+4>>2];addr=__inet_ntop4_raw(addr);break;case 10:if(salen!==28){return{errno:ERRNO_CODES.EINVAL}}addr=[HEAP32[sa+8>>2],HEAP32[sa+12>>2],HEAP32[sa+16>>2],HEAP32[sa+20>>2]];addr=__inet_ntop6_raw(addr);break;default:return{errno:ERRNO_CODES.EAFNOSUPPORT}}return{family:family,addr:addr,port:port}}function __write_sockaddr(sa,family,addr,port){switch(family){case 2:addr=__inet_pton4_raw(addr);HEAP16[sa>>1]=family;HEAP32[sa+4>>2]=addr;HEAP16[sa+2>>1]=_htons(port);break;case 10:addr=__inet_pton6_raw(addr);HEAP32[sa>>2]=family;HEAP32[sa+8>>2]=addr[0];HEAP32[sa+12>>2]=addr[1];HEAP32[sa+16>>2]=addr[2];HEAP32[sa+20>>2]=addr[3];HEAP16[sa+2>>1]=_htons(port);HEAP32[sa+4>>2]=0;HEAP32[sa+24>>2]=0;break;default:return{errno:ERRNO_CODES.EAFNOSUPPORT}}return{}}function ___syscall102(which,varargs){SYSCALLS.varargs=varargs;try{var call=SYSCALLS.get(),socketvararg=SYSCALLS.get();SYSCALLS.varargs=socketvararg;switch(call){case 1:{var domain=SYSCALLS.get(),type=SYSCALLS.get(),protocol=SYSCALLS.get();var sock=SOCKFS.createSocket(domain,type,protocol);assert(sock.stream.fd<64);return sock.stream.fd};case 2:{var sock=SYSCALLS.getSocketFromFD(),info=SYSCALLS.getSocketAddress();sock.sock_ops.bind(sock,info.addr,info.port);return 0};case 3:{var sock=SYSCALLS.getSocketFromFD(),info=SYSCALLS.getSocketAddress();sock.sock_ops.connect(sock,info.addr,info.port);return 0};case 4:{var sock=SYSCALLS.getSocketFromFD(),backlog=SYSCALLS.get();sock.sock_ops.listen(sock,backlog);return 0};case 5:{var sock=SYSCALLS.getSocketFromFD(),addr=SYSCALLS.get(),addrlen=SYSCALLS.get();var newsock=sock.sock_ops.accept(sock);if(addr){var res=__write_sockaddr(addr,newsock.family,DNS.lookup_name(newsock.daddr),newsock.dport);assert(!res.errno)}return newsock.stream.fd};case 6:{var sock=SYSCALLS.getSocketFromFD(),addr=SYSCALLS.get(),addrlen=SYSCALLS.get();var res=__write_sockaddr(addr,sock.family,DNS.lookup_name(sock.saddr||"0.0.0.0"),sock.sport);assert(!res.errno);return 0};case 7:{var sock=SYSCALLS.getSocketFromFD(),addr=SYSCALLS.get(),addrlen=SYSCALLS.get();if(!sock.daddr){return-ERRNO_CODES.ENOTCONN}var res=__write_sockaddr(addr,sock.family,DNS.lookup_name(sock.daddr),sock.dport);assert(!res.errno);return 0};case 11:{var sock=SYSCALLS.getSocketFromFD(),message=SYSCALLS.get(),length=SYSCALLS.get(),flags=SYSCALLS.get(),dest=SYSCALLS.getSocketAddress(true);if(!dest){return FS.write(sock.stream,HEAP8,message,length)}else{return sock.sock_ops.sendmsg(sock,HEAP8,message,length,dest.addr,dest.port)}};case 12:{var sock=SYSCALLS.getSocketFromFD(),buf=SYSCALLS.get(),len=SYSCALLS.get(),flags=SYSCALLS.get(),addr=SYSCALLS.get(),addrlen=SYSCALLS.get();var msg=sock.sock_ops.recvmsg(sock,len);if(!msg)return 0;if(addr){var res=__write_sockaddr(addr,sock.family,DNS.lookup_name(msg.addr),msg.port);assert(!res.errno)}HEAPU8.set(msg.buffer,buf);return msg.buffer.byteLength};case 14:{return-ERRNO_CODES.ENOPROTOOPT};case 15:{var sock=SYSCALLS.getSocketFromFD(),level=SYSCALLS.get(),optname=SYSCALLS.get(),optval=SYSCALLS.get(),optlen=SYSCALLS.get();if(level===1){if(optname===4){HEAP32[optval>>2]=sock.error;HEAP32[optlen>>2]=4;sock.error=null;return 0}}return-ERRNO_CODES.ENOPROTOOPT};case 16:{var sock=SYSCALLS.getSocketFromFD(),message=SYSCALLS.get(),flags=SYSCALLS.get();var iov=HEAP32[message+8>>2];var num=HEAP32[message+12>>2];var addr,port;var name=HEAP32[message>>2];var namelen=HEAP32[message+4>>2];if(name){var info=__read_sockaddr(name,namelen);if(info.errno)return-info.errno;port=info.port;addr=DNS.lookup_addr(info.addr)||info.addr}var total=0;for(var i=0;i<num;i++){total+=HEAP32[iov+(8*i+4)>>2]}var view=new Uint8Array(total);var offset=0;for(var i=0;i<num;i++){var iovbase=HEAP32[iov+(8*i+0)>>2];var iovlen=HEAP32[iov+(8*i+4)>>2];for(var j=0;j<iovlen;j++){view[offset++]=HEAP8[iovbase+j>>0]}}return sock.sock_ops.sendmsg(sock,view,0,total,addr,port)};case 17:{var sock=SYSCALLS.getSocketFromFD(),message=SYSCALLS.get(),flags=SYSCALLS.get();var iov=HEAP32[message+8>>2];var num=HEAP32[message+12>>2];var total=0;for(var i=0;i<num;i++){total+=HEAP32[iov+(8*i+4)>>2]}var msg=sock.sock_ops.recvmsg(sock,total);if(!msg)return 0;var name=HEAP32[message>>2];if(name){var res=__write_sockaddr(name,sock.family,DNS.lookup_name(msg.addr),msg.port);assert(!res.errno)}var bytesRead=0;var bytesRemaining=msg.buffer.byteLength;for(var i=0;bytesRemaining>0&&i<num;i++){var iovbase=HEAP32[iov+(8*i+0)>>2];var iovlen=HEAP32[iov+(8*i+4)>>2];if(!iovlen){continue}var length=Math.min(iovlen,bytesRemaining);var buf=msg.buffer.subarray(bytesRead,bytesRead+length);HEAPU8.set(buf,iovbase+bytesRead);bytesRead+=length;bytesRemaining-=length}return bytesRead};default:abort("unsupported socketcall syscall "+call)}}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall122(which,varargs){SYSCALLS.varargs=varargs;try{var buf=SYSCALLS.get();if(!buf)return-ERRNO_CODES.EFAULT;var layout={"sysname":0,"nodename":65,"domainname":325,"machine":260,"version":195,"release":130,"__size__":390};function copyString(element,value){var offset=layout[element];writeAsciiToMemory(value,buf+offset)}copyString("sysname","Emscripten");copyString("nodename","emscripten");copyString("release","1.0");copyString("version","#1");copyString("machine","x86-JS");return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall140(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),offset_high=SYSCALLS.get(),offset_low=SYSCALLS.get(),result=SYSCALLS.get(),whence=SYSCALLS.get();var offset=offset_low;FS.llseek(stream,offset,whence);HEAP32[result>>2]=stream.position;if(stream.getdents&&offset===0&&whence===0)stream.getdents=null;return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall142(which,varargs){SYSCALLS.varargs=varargs;try{var nfds=SYSCALLS.get(),readfds=SYSCALLS.get(),writefds=SYSCALLS.get(),exceptfds=SYSCALLS.get(),timeout=SYSCALLS.get();assert(nfds<=64,"nfds must be less than or equal to 64");assert(!exceptfds,"exceptfds not supported");var total=0;var srcReadLow=readfds?HEAP32[readfds>>2]:0,srcReadHigh=readfds?HEAP32[readfds+4>>2]:0;var srcWriteLow=writefds?HEAP32[writefds>>2]:0,srcWriteHigh=writefds?HEAP32[writefds+4>>2]:0;var srcExceptLow=exceptfds?HEAP32[exceptfds>>2]:0,srcExceptHigh=exceptfds?HEAP32[exceptfds+4>>2]:0;var dstReadLow=0,dstReadHigh=0;var dstWriteLow=0,dstWriteHigh=0;var dstExceptLow=0,dstExceptHigh=0;var allLow=(readfds?HEAP32[readfds>>2]:0)|(writefds?HEAP32[writefds>>2]:0)|(exceptfds?HEAP32[exceptfds>>2]:0);var allHigh=(readfds?HEAP32[readfds+4>>2]:0)|(writefds?HEAP32[writefds+4>>2]:0)|(exceptfds?HEAP32[exceptfds+4>>2]:0);function check(fd,low,high,val){return fd<32?low&val:high&val}for(var fd=0;fd<nfds;fd++){var mask=1<<fd%32;if(!check(fd,allLow,allHigh,mask)){continue}var stream=FS.getStream(fd);if(!stream)throw new FS.ErrnoError(ERRNO_CODES.EBADF);var flags=SYSCALLS.DEFAULT_POLLMASK;if(stream.stream_ops.poll){flags=stream.stream_ops.poll(stream)}if(flags&1&&check(fd,srcReadLow,srcReadHigh,mask)){fd<32?dstReadLow=dstReadLow|mask:dstReadHigh=dstReadHigh|mask;total++}if(flags&4&&check(fd,srcWriteLow,srcWriteHigh,mask)){fd<32?dstWriteLow=dstWriteLow|mask:dstWriteHigh=dstWriteHigh|mask;total++}if(flags&2&&check(fd,srcExceptLow,srcExceptHigh,mask)){fd<32?dstExceptLow=dstExceptLow|mask:dstExceptHigh=dstExceptHigh|mask;total++}}if(readfds){HEAP32[readfds>>2]=dstReadLow;HEAP32[readfds+4>>2]=dstReadHigh}if(writefds){HEAP32[writefds>>2]=dstWriteLow;HEAP32[writefds+4>>2]=dstWriteHigh}if(exceptfds){HEAP32[exceptfds>>2]=dstExceptLow;HEAP32[exceptfds+4>>2]=dstExceptHigh}return total}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall145(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),iov=SYSCALLS.get(),iovcnt=SYSCALLS.get();return SYSCALLS.doReadv(stream,iov,iovcnt)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall146(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),iov=SYSCALLS.get(),iovcnt=SYSCALLS.get();return SYSCALLS.doWritev(stream,iov,iovcnt)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall15(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),mode=SYSCALLS.get();FS.chmod(path,mode);return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall183(which,varargs){SYSCALLS.varargs=varargs;try{var buf=SYSCALLS.get(),size=SYSCALLS.get();if(size===0)return-ERRNO_CODES.EINVAL;var cwd=FS.cwd();var cwdLengthInBytes=lengthBytesUTF8(cwd);if(size<cwdLengthInBytes+1)return-ERRNO_CODES.ERANGE;stringToUTF8(cwd,buf,size);return buf}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall192(which,varargs){SYSCALLS.varargs=varargs;try{var addr=SYSCALLS.get(),len=SYSCALLS.get(),prot=SYSCALLS.get(),flags=SYSCALLS.get(),fd=SYSCALLS.get(),off=SYSCALLS.get();off<<=12;var ptr;var allocated=false;if(fd===-1){ptr=_memalign(PAGE_SIZE,len);if(!ptr)return-ERRNO_CODES.ENOMEM;_memset(ptr,0,len);allocated=true}else{var info=FS.getStream(fd);if(!info)return-ERRNO_CODES.EBADF;var res=FS.mmap(info,HEAPU8,addr,len,off,prot,flags);ptr=res.ptr;allocated=res.allocated}SYSCALLS.mappings[ptr]={malloc:ptr,len:len,allocated:allocated,fd:fd,flags:flags};return ptr}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall193(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),zero=SYSCALLS.getZero(),length=SYSCALLS.get64();FS.truncate(path,length);return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall194(which,varargs){SYSCALLS.varargs=varargs;try{var fd=SYSCALLS.get(),zero=SYSCALLS.getZero(),length=SYSCALLS.get64();FS.ftruncate(fd,length);return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall195(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),buf=SYSCALLS.get();return SYSCALLS.doStat(FS.stat,path,buf)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall196(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),buf=SYSCALLS.get();return SYSCALLS.doStat(FS.lstat,path,buf)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall197(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),buf=SYSCALLS.get();return SYSCALLS.doStat(FS.stat,stream.path,buf)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall202(which,varargs){SYSCALLS.varargs=varargs;try{return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall199(){return ___syscall202.apply(null,arguments)}function ___syscall220(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),dirp=SYSCALLS.get(),count=SYSCALLS.get();if(!stream.getdents){stream.getdents=FS.readdir(stream.path)}var pos=0;while(stream.getdents.length>0&&pos+268<=count){var id;var type;var name=stream.getdents.pop();if(name[0]==="."){id=1;type=4}else{var child=FS.lookupNode(stream.node,name);id=child.id;type=FS.isChrdev(child.mode)?2:FS.isDir(child.mode)?4:FS.isLink(child.mode)?10:8}HEAP32[dirp+pos>>2]=id;HEAP32[dirp+pos+4>>2]=stream.position;HEAP16[dirp+pos+8>>1]=268;HEAP8[dirp+pos+10>>0]=type;stringToUTF8(name,dirp+pos+11,256);pos+=268}return pos}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall221(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),cmd=SYSCALLS.get();switch(cmd){case 0:{var arg=SYSCALLS.get();if(arg<0){return-ERRNO_CODES.EINVAL}var newStream;newStream=FS.open(stream.path,stream.flags,0,arg);return newStream.fd};case 1:case 2:return 0;case 3:return stream.flags;case 4:{var arg=SYSCALLS.get();stream.flags|=arg;return 0};case 12:case 12:{var arg=SYSCALLS.get();var offset=0;HEAP16[arg+offset>>1]=2;return 0};case 13:case 14:case 13:case 14:return 0;case 16:case 8:return-ERRNO_CODES.EINVAL;case 9:___setErrNo(ERRNO_CODES.EINVAL);return-1;default:{return-ERRNO_CODES.EINVAL}}}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall268(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),size=SYSCALLS.get(),buf=SYSCALLS.get();assert(size===64);HEAP32[buf+4>>2]=4096;HEAP32[buf+40>>2]=4096;HEAP32[buf+8>>2]=1e6;HEAP32[buf+12>>2]=5e5;HEAP32[buf+16>>2]=5e5;HEAP32[buf+20>>2]=FS.nextInode;HEAP32[buf+24>>2]=1e6;HEAP32[buf+28>>2]=42;HEAP32[buf+44>>2]=2;HEAP32[buf+36>>2]=255;return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall3(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),buf=SYSCALLS.get(),count=SYSCALLS.get();return FS.read(stream,HEAP8,buf,count)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall33(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),amode=SYSCALLS.get();return SYSCALLS.doAccess(path,amode)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall38(which,varargs){SYSCALLS.varargs=varargs;try{var old_path=SYSCALLS.getStr(),new_path=SYSCALLS.getStr();FS.rename(old_path,new_path);return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall39(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),mode=SYSCALLS.get();return SYSCALLS.doMkdir(path,mode)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall4(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),buf=SYSCALLS.get(),count=SYSCALLS.get();return FS.write(stream,HEAP8,buf,count)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall40(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr();FS.rmdir(path);return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall5(which,varargs){SYSCALLS.varargs=varargs;try{var pathname=SYSCALLS.getStr(),flags=SYSCALLS.get(),mode=SYSCALLS.get();var stream=FS.open(pathname,flags,mode);return stream.fd}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall54(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD(),op=SYSCALLS.get();switch(op){case 21509:case 21505:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};case 21510:case 21511:case 21512:case 21506:case 21507:case 21508:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};case 21519:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;var argp=SYSCALLS.get();HEAP32[argp>>2]=0;return 0};case 21520:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return-ERRNO_CODES.EINVAL};case 21531:{var argp=SYSCALLS.get();return FS.ioctl(stream,op,argp)};case 21523:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};case 21524:{if(!stream.tty)return-ERRNO_CODES.ENOTTY;return 0};default:abort("bad ioctl syscall "+op)}}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall6(which,varargs){SYSCALLS.varargs=varargs;try{var stream=SYSCALLS.getStreamFromFD();FS.close(stream);return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall77(which,varargs){SYSCALLS.varargs=varargs;try{var who=SYSCALLS.get(),usage=SYSCALLS.get();_memset(usage,0,136);HEAP32[usage>>2]=1;HEAP32[usage+4>>2]=2;HEAP32[usage+8>>2]=3;HEAP32[usage+12>>2]=4;return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall85(which,varargs){SYSCALLS.varargs=varargs;try{var path=SYSCALLS.getStr(),buf=SYSCALLS.get(),bufsize=SYSCALLS.get();return SYSCALLS.doReadlink(path,buf,bufsize)}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___syscall91(which,varargs){SYSCALLS.varargs=varargs;try{var addr=SYSCALLS.get(),len=SYSCALLS.get();var info=SYSCALLS.mappings[addr];if(!info)return 0;if(len===info.len){var stream=FS.getStream(info.fd);SYSCALLS.doMsync(addr,stream,len,info.flags);FS.munmap(stream);SYSCALLS.mappings[addr]=null;if(info.allocated){_free(info.malloc)}}return 0}catch(e){if(typeof FS==="undefined"||!(e instanceof FS.ErrnoError))abort(e);return-e.errno}}function ___unlock(){}function _abort(){Module["abort"]()}function _atexit(func,arg){__ATEXIT__.unshift({func:func,arg:arg})}function _clock(){if(_clock.start===undefined)_clock.start=Date.now();return(Date.now()-_clock.start)*(1e6/1e3)|0}function _emscripten_get_now_res(){if(ENVIRONMENT_IS_NODE){return 1}else if(typeof dateNow!=="undefined"||(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&self["performance"]&&self["performance"]["now"]){return 1e3}else{return 1e3*1e3}}function _emscripten_get_now(){abort()}function _emscripten_get_now_is_monotonic(){return ENVIRONMENT_IS_NODE||typeof dateNow!=="undefined"||(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&self["performance"]&&self["performance"]["now"]}function _clock_getres(clk_id,res){var nsec;if(clk_id===0){nsec=1e3*1e3}else if(clk_id===1&&_emscripten_get_now_is_monotonic()){nsec=_emscripten_get_now_res()}else{___setErrNo(ERRNO_CODES.EINVAL);return-1}HEAP32[res>>2]=nsec/1e9|0;HEAP32[res+4>>2]=nsec;return 0}function _clock_gettime(clk_id,tp){var now;if(clk_id===0){now=Date.now()}else if(clk_id===1&&_emscripten_get_now_is_monotonic()){now=_emscripten_get_now()}else{___setErrNo(ERRNO_CODES.EINVAL);return-1}HEAP32[tp>>2]=now/1e3|0;HEAP32[tp+4>>2]=now%1e3*1e3*1e3|0;return 0}function _difftime(time1,time0){return time1-time0}var DLFCN={error:null,errorMsg:null,loadedLibs:{},loadedLibNames:{}};function _dlclose(handle){if(!DLFCN.loadedLibs[handle]){DLFCN.errorMsg="Tried to dlclose() unopened handle: "+handle;return 1}else{var lib_record=DLFCN.loadedLibs[handle];if(--lib_record.refcount==0){if(lib_record.module.cleanups){lib_record.module.cleanups.forEach((function(cleanup){cleanup()}))}delete DLFCN.loadedLibNames[lib_record.name];delete DLFCN.loadedLibs[handle]}return 0}}function _dlopen(filename,flag){abort("To use dlopen, you need to use Emscripten's linking support, see https://github.com/kripken/emscripten/wiki/Linking");var searchpaths=[];if(filename===0){filename="__self__"}else{var strfilename=Pointer_stringify(filename);var isValidFile=(function(filename){var target=FS.findObject(filename);return target&&!target.isFolder&&!target.isDevice});if(isValidFile(strfilename)){filename=strfilename}else{if(ENV["LD_LIBRARY_PATH"]){searchpaths=ENV["LD_LIBRARY_PATH"].split(":")}for(var ident in searchpaths){var searchfile=PATH.join2(searchpaths[ident],strfilename);if(isValidFile(searchfile)){filename=searchfile;break}}}}if(DLFCN.loadedLibNames[filename]){var handle=DLFCN.loadedLibNames[filename];DLFCN.loadedLibs[handle].refcount++;return handle}var lib_module;if(filename==="__self__"){var handle=-1;lib_module=Module}else{if(Module["preloadedWasm"]!==undefined&&Module["preloadedWasm"][filename]!==undefined){lib_module=Module["preloadedWasm"][filename]}else{var target=FS.findObject(filename);if(!target||target.isFolder||target.isDevice){DLFCN.errorMsg="Could not find dynamic lib: "+filename;return 0}FS.forceLoadFile(target);try{var lib_data=FS.readFile(filename,{encoding:"binary"});if(!(lib_data instanceof Uint8Array))lib_data=new Uint8Array(lib_data);lib_module=loadWebAssemblyModule(lib_data)}catch(e){DLFCN.errorMsg="Could not evaluate dynamic lib: "+filename+"\n"+e;return 0}}var handle=1;for(var key in DLFCN.loadedLibs){if(DLFCN.loadedLibs.hasOwnProperty(key))handle++}if(flag&256){for(var ident in lib_module){if(lib_module.hasOwnProperty(ident)){if(ident[0]=="_"){Module[ident]=lib_module[ident]}}}}}DLFCN.loadedLibs[handle]={refcount:1,name:filename,module:lib_module};DLFCN.loadedLibNames[filename]=handle;return handle}function _dlsym(handle,symbol){symbol=Pointer_stringify(symbol);if(!DLFCN.loadedLibs[handle]){DLFCN.errorMsg="Tried to dlsym() from an unopened handle: "+handle;return 0}else{var lib=DLFCN.loadedLibs[handle];symbol="_"+symbol;if(!lib.module.hasOwnProperty(symbol)){DLFCN.errorMsg='Tried to lookup unknown symbol "'+symbol+'" in dynamic lib: '+lib.name;return 0}else{var result=lib.module[symbol];if(typeof result==="function"){return addFunction(result)}return result}}}function _emscripten_set_main_loop_timing(mode,value){Browser.mainLoop.timingMode=mode;Browser.mainLoop.timingValue=value;if(!Browser.mainLoop.func){return 1}if(mode==0){Browser.mainLoop.scheduler=function Browser_mainLoop_scheduler_setTimeout(){var timeUntilNextTick=Math.max(0,Browser.mainLoop.tickStartTime+value-_emscripten_get_now())|0;setTimeout(Browser.mainLoop.runner,timeUntilNextTick)};Browser.mainLoop.method="timeout"}else if(mode==1){Browser.mainLoop.scheduler=function Browser_mainLoop_scheduler_rAF(){Browser.requestAnimationFrame(Browser.mainLoop.runner)};Browser.mainLoop.method="rAF"}else if(mode==2){if(typeof setImmediate==="undefined"){var setImmediates=[];var emscriptenMainLoopMessageId="setimmediate";function Browser_setImmediate_messageHandler(event){if(event.data===emscriptenMainLoopMessageId||event.data.target===emscriptenMainLoopMessageId){event.stopPropagation();setImmediates.shift()()}}addEventListener("message",Browser_setImmediate_messageHandler,true);setImmediate=function Browser_emulated_setImmediate(func){setImmediates.push(func);if(ENVIRONMENT_IS_WORKER){if(Module["setImmediates"]===undefined)Module["setImmediates"]=[];Module["setImmediates"].push(func);postMessage({target:emscriptenMainLoopMessageId})}else postMessage(emscriptenMainLoopMessageId,"*")}}Browser.mainLoop.scheduler=function Browser_mainLoop_scheduler_setImmediate(){setImmediate(Browser.mainLoop.runner)};Browser.mainLoop.method="immediate"}return 0}function _emscripten_set_main_loop(func,fps,simulateInfiniteLoop,arg,noSetTiming){Module["noExitRuntime"]=true;assert(!Browser.mainLoop.func,"emscripten_set_main_loop: there can only be one main loop function at once: call emscripten_cancel_main_loop to cancel the previous one before setting a new one with different parameters.");Browser.mainLoop.func=func;Browser.mainLoop.arg=arg;var browserIterationFunc;if(typeof arg!=="undefined"){browserIterationFunc=(function(){Module["dynCall_vi"](func,arg)})}else{browserIterationFunc=(function(){Module["dynCall_v"](func)})}var thisMainLoopId=Browser.mainLoop.currentlyRunningMainloop;Browser.mainLoop.runner=function Browser_mainLoop_runner(){if(ABORT)return;if(Browser.mainLoop.queue.length>0){var start=Date.now();var blocker=Browser.mainLoop.queue.shift();blocker.func(blocker.arg);if(Browser.mainLoop.remainingBlockers){var remaining=Browser.mainLoop.remainingBlockers;var next=remaining%1==0?remaining-1:Math.floor(remaining);if(blocker.counted){Browser.mainLoop.remainingBlockers=next}else{next=next+.5;Browser.mainLoop.remainingBlockers=(8*remaining+next)/9}}console.log('main loop blocker "'+blocker.name+'" took '+(Date.now()-start)+" ms");Browser.mainLoop.updateStatus();if(thisMainLoopId<Browser.mainLoop.currentlyRunningMainloop)return;setTimeout(Browser.mainLoop.runner,0);return}if(thisMainLoopId<Browser.mainLoop.currentlyRunningMainloop)return;Browser.mainLoop.currentFrameNumber=Browser.mainLoop.currentFrameNumber+1|0;if(Browser.mainLoop.timingMode==1&&Browser.mainLoop.timingValue>1&&Browser.mainLoop.currentFrameNumber%Browser.mainLoop.timingValue!=0){Browser.mainLoop.scheduler();return}else if(Browser.mainLoop.timingMode==0){Browser.mainLoop.tickStartTime=_emscripten_get_now()}if(Browser.mainLoop.method==="timeout"&&Module.ctx){err("Looks like you are rendering without using requestAnimationFrame for the main loop. You should use 0 for the frame rate in emscripten_set_main_loop in order to use requestAnimationFrame, as that can greatly improve your frame rates!");Browser.mainLoop.method=""}Browser.mainLoop.runIter(browserIterationFunc);if(thisMainLoopId<Browser.mainLoop.currentlyRunningMainloop)return;if(typeof SDL==="object"&&SDL.audio&&SDL.audio.queueNewAudioData)SDL.audio.queueNewAudioData();Browser.mainLoop.scheduler()};if(!noSetTiming){if(fps&&fps>0)_emscripten_set_main_loop_timing(0,1e3/fps);else _emscripten_set_main_loop_timing(1,1);Browser.mainLoop.scheduler()}if(simulateInfiniteLoop){throw"SimulateInfiniteLoop"}}var Browser={mainLoop:{scheduler:null,method:"",currentlyRunningMainloop:0,func:null,arg:0,timingMode:0,timingValue:0,currentFrameNumber:0,queue:[],pause:(function(){Browser.mainLoop.scheduler=null;Browser.mainLoop.currentlyRunningMainloop++}),resume:(function(){Browser.mainLoop.currentlyRunningMainloop++;var timingMode=Browser.mainLoop.timingMode;var timingValue=Browser.mainLoop.timingValue;var func=Browser.mainLoop.func;Browser.mainLoop.func=null;_emscripten_set_main_loop(func,0,false,Browser.mainLoop.arg,true);_emscripten_set_main_loop_timing(timingMode,timingValue);Browser.mainLoop.scheduler()}),updateStatus:(function(){if(Module["setStatus"]){var message=Module["statusMessage"]||"Please wait...";var remaining=Browser.mainLoop.remainingBlockers;var expected=Browser.mainLoop.expectedBlockers;if(remaining){if(remaining<expected){Module["setStatus"](message+" ("+(expected-remaining)+"/"+expected+")")}else{Module["setStatus"](message)}}else{Module["setStatus"]("")}}}),runIter:(function(func){if(ABORT)return;if(Module["preMainLoop"]){var preRet=Module["preMainLoop"]();if(preRet===false){return}}try{func()}catch(e){if(e instanceof ExitStatus){return}else{if(e&&typeof e==="object"&&e.stack)err("exception thrown: "+[e,e.stack]);throw e}}if(Module["postMainLoop"])Module["postMainLoop"]()})},isFullscreen:false,pointerLock:false,moduleContextCreatedCallbacks:[],workers:[],init:(function(){if(!Module["preloadPlugins"])Module["preloadPlugins"]=[];if(Browser.initted)return;Browser.initted=true;try{new Blob;Browser.hasBlobConstructor=true}catch(e){Browser.hasBlobConstructor=false;console.log("warning: no blob constructor, cannot create blobs with mimetypes")}Browser.BlobBuilder=typeof MozBlobBuilder!="undefined"?MozBlobBuilder:typeof WebKitBlobBuilder!="undefined"?WebKitBlobBuilder:!Browser.hasBlobConstructor?console.log("warning: no BlobBuilder"):null;Browser.URLObject=typeof window!="undefined"?window.URL?window.URL:window.webkitURL:undefined;if(!Module.noImageDecoding&&typeof Browser.URLObject==="undefined"){console.log("warning: Browser does not support creating object URLs. Built-in browser image decoding will not be available.");Module.noImageDecoding=true}var imagePlugin={};imagePlugin["canHandle"]=function imagePlugin_canHandle(name){return!Module.noImageDecoding&&/\.(jpg|jpeg|png|bmp)$/i.test(name)};imagePlugin["handle"]=function imagePlugin_handle(byteArray,name,onload,onerror){var b=null;if(Browser.hasBlobConstructor){try{b=new Blob([byteArray],{type:Browser.getMimetype(name)});if(b.size!==byteArray.length){b=new Blob([(new Uint8Array(byteArray)).buffer],{type:Browser.getMimetype(name)})}}catch(e){warnOnce("Blob constructor present but fails: "+e+"; falling back to blob builder")}}if(!b){var bb=new Browser.BlobBuilder;bb.append((new Uint8Array(byteArray)).buffer);b=bb.getBlob()}var url=Browser.URLObject.createObjectURL(b);var img=new Image;img.onload=function img_onload(){assert(img.complete,"Image "+name+" could not be decoded");var canvas=document.createElement("canvas");canvas.width=img.width;canvas.height=img.height;var ctx=canvas.getContext("2d");ctx.drawImage(img,0,0);Module["preloadedImages"][name]=canvas;Browser.URLObject.revokeObjectURL(url);if(onload)onload(byteArray)};img.onerror=function img_onerror(event){console.log("Image "+url+" could not be decoded");if(onerror)onerror()};img.src=url};Module["preloadPlugins"].push(imagePlugin);var audioPlugin={};audioPlugin["canHandle"]=function audioPlugin_canHandle(name){return!Module.noAudioDecoding&&name.substr(-4)in{".ogg":1,".wav":1,".mp3":1}};audioPlugin["handle"]=function audioPlugin_handle(byteArray,name,onload,onerror){var done=false;function finish(audio){if(done)return;done=true;Module["preloadedAudios"][name]=audio;if(onload)onload(byteArray)}function fail(){if(done)return;done=true;Module["preloadedAudios"][name]=new Audio;if(onerror)onerror()}if(Browser.hasBlobConstructor){try{var b=new Blob([byteArray],{type:Browser.getMimetype(name)})}catch(e){return fail()}var url=Browser.URLObject.createObjectURL(b);var audio=new Audio;audio.addEventListener("canplaythrough",(function(){finish(audio)}),false);audio.onerror=function audio_onerror(event){if(done)return;console.log("warning: browser could not fully decode audio "+name+", trying slower base64 approach");function encode64(data){var BASE="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";var PAD="=";var ret="";var leftchar=0;var leftbits=0;for(var i=0;i<data.length;i++){leftchar=leftchar<<8|data[i];leftbits+=8;while(leftbits>=6){var curr=leftchar>>leftbits-6&63;leftbits-=6;ret+=BASE[curr]}}if(leftbits==2){ret+=BASE[(leftchar&3)<<4];ret+=PAD+PAD}else if(leftbits==4){ret+=BASE[(leftchar&15)<<2];ret+=PAD}return ret}audio.src="data:audio/x-"+name.substr(-3)+";base64,"+encode64(byteArray);finish(audio)};audio.src=url;Browser.safeSetTimeout((function(){finish(audio)}),1e4)}else{return fail()}};Module["preloadPlugins"].push(audioPlugin);function pointerLockChange(){Browser.pointerLock=document["pointerLockElement"]===Module["canvas"]||document["mozPointerLockElement"]===Module["canvas"]||document["webkitPointerLockElement"]===Module["canvas"]||document["msPointerLockElement"]===Module["canvas"]}var canvas=Module["canvas"];if(canvas){canvas.requestPointerLock=canvas["requestPointerLock"]||canvas["mozRequestPointerLock"]||canvas["webkitRequestPointerLock"]||canvas["msRequestPointerLock"]||(function(){});canvas.exitPointerLock=document["exitPointerLock"]||document["mozExitPointerLock"]||document["webkitExitPointerLock"]||document["msExitPointerLock"]||(function(){});canvas.exitPointerLock=canvas.exitPointerLock.bind(document);document.addEventListener("pointerlockchange",pointerLockChange,false);document.addEventListener("mozpointerlockchange",pointerLockChange,false);document.addEventListener("webkitpointerlockchange",pointerLockChange,false);document.addEventListener("mspointerlockchange",pointerLockChange,false);if(Module["elementPointerLock"]){canvas.addEventListener("click",(function(ev){if(!Browser.pointerLock&&Module["canvas"].requestPointerLock){Module["canvas"].requestPointerLock();ev.preventDefault()}}),false)}}}),createContext:(function(canvas,useWebGL,setInModule,webGLContextAttributes){if(useWebGL&&Module.ctx&&canvas==Module.canvas)return Module.ctx;var ctx;var contextHandle;if(useWebGL){var contextAttributes={antialias:false,alpha:false};if(webGLContextAttributes){for(var attribute in webGLContextAttributes){contextAttributes[attribute]=webGLContextAttributes[attribute]}}contextHandle=GL.createContext(canvas,contextAttributes);if(contextHandle){ctx=GL.getContext(contextHandle).GLctx}}else{ctx=canvas.getContext("2d")}if(!ctx)return null;if(setInModule){if(!useWebGL)assert(typeof GLctx==="undefined","cannot set in module if GLctx is used, but we are a non-GL context that would replace it");Module.ctx=ctx;if(useWebGL)GL.makeContextCurrent(contextHandle);Module.useWebGL=useWebGL;Browser.moduleContextCreatedCallbacks.forEach((function(callback){callback()}));Browser.init()}return ctx}),destroyContext:(function(canvas,useWebGL,setInModule){}),fullscreenHandlersInstalled:false,lockPointer:undefined,resizeCanvas:undefined,requestFullscreen:(function(lockPointer,resizeCanvas,vrDevice){Browser.lockPointer=lockPointer;Browser.resizeCanvas=resizeCanvas;Browser.vrDevice=vrDevice;if(typeof Browser.lockPointer==="undefined")Browser.lockPointer=true;if(typeof Browser.resizeCanvas==="undefined")Browser.resizeCanvas=false;if(typeof Browser.vrDevice==="undefined")Browser.vrDevice=null;var canvas=Module["canvas"];function fullscreenChange(){Browser.isFullscreen=false;var canvasContainer=canvas.parentNode;if((document["fullscreenElement"]||document["mozFullScreenElement"]||document["msFullscreenElement"]||document["webkitFullscreenElement"]||document["webkitCurrentFullScreenElement"])===canvasContainer){canvas.exitFullscreen=document["exitFullscreen"]||document["cancelFullScreen"]||document["mozCancelFullScreen"]||document["msExitFullscreen"]||document["webkitCancelFullScreen"]||(function(){});canvas.exitFullscreen=canvas.exitFullscreen.bind(document);if(Browser.lockPointer)canvas.requestPointerLock();Browser.isFullscreen=true;if(Browser.resizeCanvas){Browser.setFullscreenCanvasSize()}else{Browser.updateCanvasDimensions(canvas)}}else{canvasContainer.parentNode.insertBefore(canvas,canvasContainer);canvasContainer.parentNode.removeChild(canvasContainer);if(Browser.resizeCanvas){Browser.setWindowedCanvasSize()}else{Browser.updateCanvasDimensions(canvas)}}if(Module["onFullScreen"])Module["onFullScreen"](Browser.isFullscreen);if(Module["onFullscreen"])Module["onFullscreen"](Browser.isFullscreen)}if(!Browser.fullscreenHandlersInstalled){Browser.fullscreenHandlersInstalled=true;document.addEventListener("fullscreenchange",fullscreenChange,false);document.addEventListener("mozfullscreenchange",fullscreenChange,false);document.addEventListener("webkitfullscreenchange",fullscreenChange,false);document.addEventListener("MSFullscreenChange",fullscreenChange,false)}var canvasContainer=document.createElement("div");canvas.parentNode.insertBefore(canvasContainer,canvas);canvasContainer.appendChild(canvas);canvasContainer.requestFullscreen=canvasContainer["requestFullscreen"]||canvasContainer["mozRequestFullScreen"]||canvasContainer["msRequestFullscreen"]||(canvasContainer["webkitRequestFullscreen"]?(function(){canvasContainer["webkitRequestFullscreen"](Element["ALLOW_KEYBOARD_INPUT"])}):null)||(canvasContainer["webkitRequestFullScreen"]?(function(){canvasContainer["webkitRequestFullScreen"](Element["ALLOW_KEYBOARD_INPUT"])}):null);if(vrDevice){canvasContainer.requestFullscreen({vrDisplay:vrDevice})}else{canvasContainer.requestFullscreen()}}),requestFullScreen:(function(lockPointer,resizeCanvas,vrDevice){err("Browser.requestFullScreen() is deprecated. Please call Browser.requestFullscreen instead.");Browser.requestFullScreen=(function(lockPointer,resizeCanvas,vrDevice){return Browser.requestFullscreen(lockPointer,resizeCanvas,vrDevice)});return Browser.requestFullscreen(lockPointer,resizeCanvas,vrDevice)}),nextRAF:0,fakeRequestAnimationFrame:(function(func){var now=Date.now();if(Browser.nextRAF===0){Browser.nextRAF=now+1e3/60}else{while(now+2>=Browser.nextRAF){Browser.nextRAF+=1e3/60}}var delay=Math.max(Browser.nextRAF-now,0);setTimeout(func,delay)}),requestAnimationFrame:function requestAnimationFrame(func){if(typeof window==="undefined"){Browser.fakeRequestAnimationFrame(func)}else{if(!window.requestAnimationFrame){window.requestAnimationFrame=window["requestAnimationFrame"]||window["mozRequestAnimationFrame"]||window["webkitRequestAnimationFrame"]||window["msRequestAnimationFrame"]||window["oRequestAnimationFrame"]||Browser.fakeRequestAnimationFrame}window.requestAnimationFrame(func)}},safeCallback:(function(func){return(function(){if(!ABORT)return func.apply(null,arguments)})}),allowAsyncCallbacks:true,queuedAsyncCallbacks:[],pauseAsyncCallbacks:(function(){Browser.allowAsyncCallbacks=false}),resumeAsyncCallbacks:(function(){Browser.allowAsyncCallbacks=true;if(Browser.queuedAsyncCallbacks.length>0){var callbacks=Browser.queuedAsyncCallbacks;Browser.queuedAsyncCallbacks=[];callbacks.forEach((function(func){func()}))}}),safeRequestAnimationFrame:(function(func){return Browser.requestAnimationFrame((function(){if(ABORT)return;if(Browser.allowAsyncCallbacks){func()}else{Browser.queuedAsyncCallbacks.push(func)}}))}),safeSetTimeout:(function(func,timeout){Module["noExitRuntime"]=true;return setTimeout((function(){if(ABORT)return;if(Browser.allowAsyncCallbacks){func()}else{Browser.queuedAsyncCallbacks.push(func)}}),timeout)}),safeSetInterval:(function(func,timeout){Module["noExitRuntime"]=true;return setInterval((function(){if(ABORT)return;if(Browser.allowAsyncCallbacks){func()}}),timeout)}),getMimetype:(function(name){return{"jpg":"image/jpeg","jpeg":"image/jpeg","png":"image/png","bmp":"image/bmp","ogg":"audio/ogg","wav":"audio/wav","mp3":"audio/mpeg"}[name.substr(name.lastIndexOf(".")+1)]}),getUserMedia:(function(func){if(!window.getUserMedia){window.getUserMedia=navigator["getUserMedia"]||navigator["mozGetUserMedia"]}window.getUserMedia(func)}),getMovementX:(function(event){return event["movementX"]||event["mozMovementX"]||event["webkitMovementX"]||0}),getMovementY:(function(event){return event["movementY"]||event["mozMovementY"]||event["webkitMovementY"]||0}),getMouseWheelDelta:(function(event){var delta=0;switch(event.type){case"DOMMouseScroll":delta=event.detail;break;case"mousewheel":delta=event.wheelDelta;break;case"wheel":delta=event["deltaY"];break;default:throw"unrecognized mouse wheel event: "+event.type}return delta}),mouseX:0,mouseY:0,mouseMovementX:0,mouseMovementY:0,touches:{},lastTouches:{},calculateMouseEvent:(function(event){if(Browser.pointerLock){if(event.type!="mousemove"&&"mozMovementX"in event){Browser.mouseMovementX=Browser.mouseMovementY=0}else{Browser.mouseMovementX=Browser.getMovementX(event);Browser.mouseMovementY=Browser.getMovementY(event)}if(typeof SDL!="undefined"){Browser.mouseX=SDL.mouseX+Browser.mouseMovementX;Browser.mouseY=SDL.mouseY+Browser.mouseMovementY}else{Browser.mouseX+=Browser.mouseMovementX;Browser.mouseY+=Browser.mouseMovementY}}else{var rect=Module["canvas"].getBoundingClientRect();var cw=Module["canvas"].width;var ch=Module["canvas"].height;var scrollX=typeof window.scrollX!=="undefined"?window.scrollX:window.pageXOffset;var scrollY=typeof window.scrollY!=="undefined"?window.scrollY:window.pageYOffset;if(event.type==="touchstart"||event.type==="touchend"||event.type==="touchmove"){var touch=event.touch;if(touch===undefined){return}var adjustedX=touch.pageX-(scrollX+rect.left);var adjustedY=touch.pageY-(scrollY+rect.top);adjustedX=adjustedX*(cw/rect.width);adjustedY=adjustedY*(ch/rect.height);var coords={x:adjustedX,y:adjustedY};if(event.type==="touchstart"){Browser.lastTouches[touch.identifier]=coords;Browser.touches[touch.identifier]=coords}else if(event.type==="touchend"||event.type==="touchmove"){var last=Browser.touches[touch.identifier];if(!last)last=coords;Browser.lastTouches[touch.identifier]=last;Browser.touches[touch.identifier]=coords}return}var x=event.pageX-(scrollX+rect.left);var y=event.pageY-(scrollY+rect.top);x=x*(cw/rect.width);y=y*(ch/rect.height);Browser.mouseMovementX=x-Browser.mouseX;Browser.mouseMovementY=y-Browser.mouseY;Browser.mouseX=x;Browser.mouseY=y}}),asyncLoad:(function(url,onload,onerror,noRunDep){var dep=!noRunDep?getUniqueRunDependency("al "+url):"";Module["readAsync"](url,(function(arrayBuffer){assert(arrayBuffer,'Loading data file "'+url+'" failed (no arrayBuffer).');onload(new Uint8Array(arrayBuffer));if(dep)removeRunDependency(dep)}),(function(event){if(onerror){onerror()}else{throw'Loading data file "'+url+'" failed.'}}));if(dep)addRunDependency(dep)}),resizeListeners:[],updateResizeListeners:(function(){var canvas=Module["canvas"];Browser.resizeListeners.forEach((function(listener){listener(canvas.width,canvas.height)}))}),setCanvasSize:(function(width,height,noUpdates){var canvas=Module["canvas"];Browser.updateCanvasDimensions(canvas,width,height);if(!noUpdates)Browser.updateResizeListeners()}),windowedWidth:0,windowedHeight:0,setFullscreenCanvasSize:(function(){if(typeof SDL!="undefined"){var flags=HEAPU32[SDL.screen>>2];flags=flags|8388608;HEAP32[SDL.screen>>2]=flags}Browser.updateCanvasDimensions(Module["canvas"]);Browser.updateResizeListeners()}),setWindowedCanvasSize:(function(){if(typeof SDL!="undefined"){var flags=HEAPU32[SDL.screen>>2];flags=flags&~8388608;HEAP32[SDL.screen>>2]=flags}Browser.updateCanvasDimensions(Module["canvas"]);Browser.updateResizeListeners()}),updateCanvasDimensions:(function(canvas,wNative,hNative){if(wNative&&hNative){canvas.widthNative=wNative;canvas.heightNative=hNative}else{wNative=canvas.widthNative;hNative=canvas.heightNative}var w=wNative;var h=hNative;if(Module["forcedAspectRatio"]&&Module["forcedAspectRatio"]>0){if(w/h<Module["forcedAspectRatio"]){w=Math.round(h*Module["forcedAspectRatio"])}else{h=Math.round(w/Module["forcedAspectRatio"])}}if((document["fullscreenElement"]||document["mozFullScreenElement"]||document["msFullscreenElement"]||document["webkitFullscreenElement"]||document["webkitCurrentFullScreenElement"])===canvas.parentNode&&typeof screen!="undefined"){var factor=Math.min(screen.width/w,screen.height/h);w=Math.round(w*factor);h=Math.round(h*factor)}if(Browser.resizeCanvas){if(canvas.width!=w)canvas.width=w;if(canvas.height!=h)canvas.height=h;if(typeof canvas.style!="undefined"){canvas.style.removeProperty("width");canvas.style.removeProperty("height")}}else{if(canvas.width!=wNative)canvas.width=wNative;if(canvas.height!=hNative)canvas.height=hNative;if(typeof canvas.style!="undefined"){if(w!=wNative||h!=hNative){canvas.style.setProperty("width",w+"px","important");canvas.style.setProperty("height",h+"px","important")}else{canvas.style.removeProperty("width");canvas.style.removeProperty("height")}}}}),wgetRequests:{},nextWgetRequestHandle:0,getNextWgetRequestHandle:(function(){var handle=Browser.nextWgetRequestHandle;Browser.nextWgetRequestHandle++;return handle})};function _emscripten_cancel_main_loop(){Browser.mainLoop.pause();Browser.mainLoop.func=null}function _emscripten_set_canvas_element_size_calling_thread(target,width,height){var canvas=JSEvents.findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){HEAP32[canvas.canvasSharedPtr>>2]=width;HEAP32[canvas.canvasSharedPtr+4>>2]=height}if(canvas.offscreenCanvas||!canvas.controlTransferredOffscreen){if(canvas.offscreenCanvas)canvas=canvas.offscreenCanvas;var autoResizeViewport=false;if(canvas.GLctxObject&&canvas.GLctxObject.GLctx){var prevViewport=canvas.GLctxObject.GLctx.getParameter(canvas.GLctxObject.GLctx.VIEWPORT);autoResizeViewport=prevViewport[0]===0&&prevViewport[1]===0&&prevViewport[2]===canvas.width&&prevViewport[3]===canvas.height}canvas.width=width;canvas.height=height;if(autoResizeViewport){canvas.GLctxObject.GLctx.viewport(0,0,width,height)}}else{return-4}return 0}function _emscripten_set_canvas_element_size_main_thread(target,width,height){return _emscripten_set_canvas_element_size_calling_thread(target,width,height)}function _emscripten_set_canvas_element_size(target,width,height){var canvas=JSEvents.findCanvasEventTarget(target);if(canvas)return _emscripten_set_canvas_element_size_calling_thread(target,width,height);else return _emscripten_set_canvas_element_size_main_thread(target,width,height)}function emscripten_set_canvas_element_size_js(target,width,height){if(typeof target==="string"){var stackTop=stackSave();var targetInt=stackAlloc(target.length+1);stringToUTF8(target,targetInt,target.length+1);var ret=_emscripten_set_canvas_element_size(targetInt,width,height);stackRestore(stackTop);return ret}else{return _emscripten_set_canvas_element_size(target,width,height)}}function _emscripten_get_canvas_element_size_calling_thread(target,width,height){var canvas=JSEvents.findCanvasEventTarget(target);if(!canvas)return-4;if(canvas.canvasSharedPtr){var w=HEAP32[canvas.canvasSharedPtr>>2];var h=HEAP32[canvas.canvasSharedPtr+4>>2];HEAP32[width>>2]=w;HEAP32[height>>2]=h}else if(canvas.offscreenCanvas){HEAP32[width>>2]=canvas.offscreenCanvas.width;HEAP32[height>>2]=canvas.offscreenCanvas.height}else if(!canvas.controlTransferredOffscreen){HEAP32[width>>2]=canvas.width;HEAP32[height>>2]=canvas.height}else{return-4}return 0}function _emscripten_get_canvas_element_size_main_thread(target,width,height){return _emscripten_get_canvas_element_size_calling_thread(target,width,height)}function _emscripten_get_canvas_element_size(target,width,height){var canvas=JSEvents.findCanvasEventTarget(target);if(canvas)return _emscripten_get_canvas_element_size_calling_thread(target,width,height);else return _emscripten_get_canvas_element_size_main_thread(target,width,height)}function emscripten_get_canvas_element_size_js(target){var stackTop=stackSave();var w=stackAlloc(8);var h=w+4;if(typeof target==="string"){var targetInt=stackAlloc(target.length+1);stringToUTF8(target,targetInt,target.length+1);target=targetInt}var ret=_emscripten_get_canvas_element_size(target,w,h);var size=[HEAP32[w>>2],HEAP32[h>>2]];stackRestore(stackTop);return size}var JSEvents={keyEvent:0,mouseEvent:0,wheelEvent:0,uiEvent:0,focusEvent:0,deviceOrientationEvent:0,deviceMotionEvent:0,fullscreenChangeEvent:0,pointerlockChangeEvent:0,visibilityChangeEvent:0,touchEvent:0,lastGamepadState:null,lastGamepadStateFrame:null,numGamepadsConnected:0,previousFullscreenElement:null,previousScreenX:null,previousScreenY:null,removeEventListenersRegistered:false,_onGamepadConnected:(function(){++JSEvents.numGamepadsConnected}),_onGamepadDisconnected:(function(){--JSEvents.numGamepadsConnected}),staticInit:(function(){if(typeof window!=="undefined"){window.addEventListener("gamepadconnected",JSEvents._onGamepadConnected);window.addEventListener("gamepaddisconnected",JSEvents._onGamepadDisconnected);var firstState=navigator.getGamepads?navigator.getGamepads():navigator.webkitGetGamepads?navigator.webkitGetGamepads():null;if(firstState){JSEvents.numGamepadsConnected=firstState.length}}}),removeAllEventListeners:(function(){for(var i=JSEvents.eventHandlers.length-1;i>=0;--i){JSEvents._removeHandler(i)}JSEvents.eventHandlers=[];JSEvents.deferredCalls=[];window.removeEventListener("gamepadconnected",JSEvents._onGamepadConnected);window.removeEventListener("gamepaddisconnected",JSEvents._onGamepadDisconnected)}),registerRemoveEventListeners:(function(){if(!JSEvents.removeEventListenersRegistered){__ATEXIT__.push(JSEvents.removeAllEventListeners);JSEvents.removeEventListenersRegistered=true}}),findEventTarget:(function(target){try{if(!target)return window;if(typeof target==="number")target=Pointer_stringify(target);if(target==="#window")return window;else if(target==="#document")return document;else if(target==="#screen")return window.screen;else if(target==="#canvas")return Module["canvas"];return typeof target==="string"?document.getElementById(target):target}catch(e){return null}}),findCanvasEventTarget:(function(target){if(typeof target==="number")target=Pointer_stringify(target);if(!target||target==="#canvas"){if(typeof GL!=="undefined"&&GL.offscreenCanvases["canvas"])return GL.offscreenCanvases["canvas"];return Module["canvas"]}if(typeof GL!=="undefined"&&GL.offscreenCanvases[target])return GL.offscreenCanvases[target];return JSEvents.findEventTarget(target)}),deferredCalls:[],deferCall:(function(targetFunction,precedence,argsList){function arraysHaveEqualContent(arrA,arrB){if(arrA.length!=arrB.length)return false;for(var i in arrA){if(arrA[i]!=arrB[i])return false}return true}for(var i in JSEvents.deferredCalls){var call=JSEvents.deferredCalls[i];if(call.targetFunction==targetFunction&&arraysHaveEqualContent(call.argsList,argsList)){return}}JSEvents.deferredCalls.push({targetFunction:targetFunction,precedence:precedence,argsList:argsList});JSEvents.deferredCalls.sort((function(x,y){return x.precedence<y.precedence}))}),removeDeferredCalls:(function(targetFunction){for(var i=0;i<JSEvents.deferredCalls.length;++i){if(JSEvents.deferredCalls[i].targetFunction==targetFunction){JSEvents.deferredCalls.splice(i,1);--i}}}),canPerformEventHandlerRequests:(function(){return JSEvents.inEventHandler&&JSEvents.currentEventHandler.allowsDeferredCalls}),runDeferredCalls:(function(){if(!JSEvents.canPerformEventHandlerRequests()){return}for(var i=0;i<JSEvents.deferredCalls.length;++i){var call=JSEvents.deferredCalls[i];JSEvents.deferredCalls.splice(i,1);--i;call.targetFunction.apply(this,call.argsList)}}),inEventHandler:0,currentEventHandler:null,eventHandlers:[],isInternetExplorer:(function(){return navigator.userAgent.indexOf("MSIE")!==-1||navigator.appVersion.indexOf("Trident/")>0}),removeAllHandlersOnTarget:(function(target,eventTypeString){for(var i=0;i<JSEvents.eventHandlers.length;++i){if(JSEvents.eventHandlers[i].target==target&&(!eventTypeString||eventTypeString==JSEvents.eventHandlers[i].eventTypeString)){JSEvents._removeHandler(i--)}}}),_removeHandler:(function(i){var h=JSEvents.eventHandlers[i];h.target.removeEventListener(h.eventTypeString,h.eventListenerFunc,h.useCapture);JSEvents.eventHandlers.splice(i,1)}),registerOrRemoveHandler:(function(eventHandler){var jsEventHandler=function jsEventHandler(event){++JSEvents.inEventHandler;JSEvents.currentEventHandler=eventHandler;JSEvents.runDeferredCalls();eventHandler.handlerFunc(event);JSEvents.runDeferredCalls();--JSEvents.inEventHandler};if(eventHandler.callbackfunc){eventHandler.eventListenerFunc=jsEventHandler;eventHandler.target.addEventListener(eventHandler.eventTypeString,jsEventHandler,eventHandler.useCapture);JSEvents.eventHandlers.push(eventHandler);JSEvents.registerRemoveEventListeners()}else{for(var i=0;i<JSEvents.eventHandlers.length;++i){if(JSEvents.eventHandlers[i].target==eventHandler.target&&JSEvents.eventHandlers[i].eventTypeString==eventHandler.eventTypeString){JSEvents._removeHandler(i--)}}}}),registerKeyEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.keyEvent)JSEvents.keyEvent=_malloc(164);var keyEventHandlerFunc=(function(event){var e=event||window.event;var keyEventData=JSEvents.keyEvent;stringToUTF8(e.key?e.key:"",keyEventData+0,32);stringToUTF8(e.code?e.code:"",keyEventData+32,32);HEAP32[keyEventData+64>>2]=e.location;HEAP32[keyEventData+68>>2]=e.ctrlKey;HEAP32[keyEventData+72>>2]=e.shiftKey;HEAP32[keyEventData+76>>2]=e.altKey;HEAP32[keyEventData+80>>2]=e.metaKey;HEAP32[keyEventData+84>>2]=e.repeat;stringToUTF8(e.locale?e.locale:"",keyEventData+88,32);stringToUTF8(e.char?e.char:"",keyEventData+120,32);HEAP32[keyEventData+152>>2]=e.charCode;HEAP32[keyEventData+156>>2]=e.keyCode;HEAP32[keyEventData+160>>2]=e.which;if(Module["dynCall_iiii"](callbackfunc,eventTypeId,keyEventData,userData))e.preventDefault()});var eventHandler={target:JSEvents.findEventTarget(target),allowsDeferredCalls:JSEvents.isInternetExplorer()?false:true,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:keyEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),getBoundingClientRectOrZeros:(function(target){return target.getBoundingClientRect?target.getBoundingClientRect():{left:0,top:0}}),fillMouseEventData:(function(eventStruct,e,target){HEAPF64[eventStruct>>3]=JSEvents.tick();HEAP32[eventStruct+8>>2]=e.screenX;HEAP32[eventStruct+12>>2]=e.screenY;HEAP32[eventStruct+16>>2]=e.clientX;HEAP32[eventStruct+20>>2]=e.clientY;HEAP32[eventStruct+24>>2]=e.ctrlKey;HEAP32[eventStruct+28>>2]=e.shiftKey;HEAP32[eventStruct+32>>2]=e.altKey;HEAP32[eventStruct+36>>2]=e.metaKey;HEAP16[eventStruct+40>>1]=e.button;HEAP16[eventStruct+42>>1]=e.buttons;HEAP32[eventStruct+44>>2]=e["movementX"]||e["mozMovementX"]||e["webkitMovementX"]||e.screenX-JSEvents.previousScreenX;HEAP32[eventStruct+48>>2]=e["movementY"]||e["mozMovementY"]||e["webkitMovementY"]||e.screenY-JSEvents.previousScreenY;if(Module["canvas"]){var rect=Module["canvas"].getBoundingClientRect();HEAP32[eventStruct+60>>2]=e.clientX-rect.left;HEAP32[eventStruct+64>>2]=e.clientY-rect.top}else{HEAP32[eventStruct+60>>2]=0;HEAP32[eventStruct+64>>2]=0}if(target){var rect=JSEvents.getBoundingClientRectOrZeros(target);HEAP32[eventStruct+52>>2]=e.clientX-rect.left;HEAP32[eventStruct+56>>2]=e.clientY-rect.top}else{HEAP32[eventStruct+52>>2]=0;HEAP32[eventStruct+56>>2]=0}if(e.type!=="wheel"&&e.type!=="mousewheel"){JSEvents.previousScreenX=e.screenX;JSEvents.previousScreenY=e.screenY}}),registerMouseEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.mouseEvent)JSEvents.mouseEvent=_malloc(72);target=JSEvents.findEventTarget(target);var mouseEventHandlerFunc=(function(event){var e=event||window.event;JSEvents.fillMouseEventData(JSEvents.mouseEvent,e,target);if(Module["dynCall_iiii"](callbackfunc,eventTypeId,JSEvents.mouseEvent,userData))e.preventDefault()});var eventHandler={target:target,allowsDeferredCalls:eventTypeString!="mousemove"&&eventTypeString!="mouseenter"&&eventTypeString!="mouseleave",eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:mouseEventHandlerFunc,useCapture:useCapture};if(JSEvents.isInternetExplorer()&&eventTypeString=="mousedown")eventHandler.allowsDeferredCalls=false;JSEvents.registerOrRemoveHandler(eventHandler)}),registerWheelEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.wheelEvent)JSEvents.wheelEvent=_malloc(104);target=JSEvents.findEventTarget(target);var wheelHandlerFunc=(function(event){var e=event||window.event;var wheelEvent=JSEvents.wheelEvent;JSEvents.fillMouseEventData(wheelEvent,e,target);HEAPF64[wheelEvent+72>>3]=e["deltaX"];HEAPF64[wheelEvent+80>>3]=e["deltaY"];HEAPF64[wheelEvent+88>>3]=e["deltaZ"];HEAP32[wheelEvent+96>>2]=e["deltaMode"];if(Module["dynCall_iiii"](callbackfunc,eventTypeId,wheelEvent,userData))e.preventDefault()});var mouseWheelHandlerFunc=(function(event){var e=event||window.event;JSEvents.fillMouseEventData(JSEvents.wheelEvent,e,target);HEAPF64[JSEvents.wheelEvent+72>>3]=e["wheelDeltaX"]||0;HEAPF64[JSEvents.wheelEvent+80>>3]=-(e["wheelDeltaY"]?e["wheelDeltaY"]:e["wheelDelta"]);HEAPF64[JSEvents.wheelEvent+88>>3]=0;HEAP32[JSEvents.wheelEvent+96>>2]=0;var shouldCancel=Module["dynCall_iiii"](callbackfunc,eventTypeId,JSEvents.wheelEvent,userData);if(shouldCancel){e.preventDefault()}});var eventHandler={target:target,allowsDeferredCalls:true,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:eventTypeString=="wheel"?wheelHandlerFunc:mouseWheelHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),pageScrollPos:(function(){if(window.pageXOffset>0||window.pageYOffset>0){return[window.pageXOffset,window.pageYOffset]}if(typeof document.documentElement.scrollLeft!=="undefined"||typeof document.documentElement.scrollTop!=="undefined"){return[document.documentElement.scrollLeft,document.documentElement.scrollTop]}return[document.body.scrollLeft|0,document.body.scrollTop|0]}),registerUiEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.uiEvent)JSEvents.uiEvent=_malloc(36);if(eventTypeString=="scroll"&&!target){target=document}else{target=JSEvents.findEventTarget(target)}var uiEventHandlerFunc=(function(event){var e=event||window.event;if(e.target!=target){return}var scrollPos=JSEvents.pageScrollPos();var uiEvent=JSEvents.uiEvent;HEAP32[uiEvent>>2]=e.detail;HEAP32[uiEvent+4>>2]=document.body.clientWidth;HEAP32[uiEvent+8>>2]=document.body.clientHeight;HEAP32[uiEvent+12>>2]=window.innerWidth;HEAP32[uiEvent+16>>2]=window.innerHeight;HEAP32[uiEvent+20>>2]=window.outerWidth;HEAP32[uiEvent+24>>2]=window.outerHeight;HEAP32[uiEvent+28>>2]=scrollPos[0];HEAP32[uiEvent+32>>2]=scrollPos[1];if(Module["dynCall_iiii"](callbackfunc,eventTypeId,uiEvent,userData))e.preventDefault()});var eventHandler={target:target,allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:uiEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),getNodeNameForTarget:(function(target){if(!target)return"";if(target==window)return"#window";if(target==window.screen)return"#screen";return target&&target.nodeName?target.nodeName:""}),registerFocusEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.focusEvent)JSEvents.focusEvent=_malloc(256);var focusEventHandlerFunc=(function(event){var e=event||window.event;var nodeName=JSEvents.getNodeNameForTarget(e.target);var id=e.target.id?e.target.id:"";var focusEvent=JSEvents.focusEvent;stringToUTF8(nodeName,focusEvent+0,128);stringToUTF8(id,focusEvent+128,128);if(Module["dynCall_iiii"](callbackfunc,eventTypeId,focusEvent,userData))e.preventDefault()});var eventHandler={target:JSEvents.findEventTarget(target),allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:focusEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),tick:(function(){if(window["performance"]&&window["performance"]["now"])return window["performance"]["now"]();else return Date.now()}),fillDeviceOrientationEventData:(function(eventStruct,e,target){HEAPF64[eventStruct>>3]=JSEvents.tick();HEAPF64[eventStruct+8>>3]=e.alpha;HEAPF64[eventStruct+16>>3]=e.beta;HEAPF64[eventStruct+24>>3]=e.gamma;HEAP32[eventStruct+32>>2]=e.absolute}),registerDeviceOrientationEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.deviceOrientationEvent)JSEvents.deviceOrientationEvent=_malloc(40);var deviceOrientationEventHandlerFunc=(function(event){var e=event||window.event;JSEvents.fillDeviceOrientationEventData(JSEvents.deviceOrientationEvent,e,target);if(Module["dynCall_iiii"](callbackfunc,eventTypeId,JSEvents.deviceOrientationEvent,userData))e.preventDefault()});var eventHandler={target:JSEvents.findEventTarget(target),allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:deviceOrientationEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),fillDeviceMotionEventData:(function(eventStruct,e,target){HEAPF64[eventStruct>>3]=JSEvents.tick();HEAPF64[eventStruct+8>>3]=e.acceleration.x;HEAPF64[eventStruct+16>>3]=e.acceleration.y;HEAPF64[eventStruct+24>>3]=e.acceleration.z;HEAPF64[eventStruct+32>>3]=e.accelerationIncludingGravity.x;HEAPF64[eventStruct+40>>3]=e.accelerationIncludingGravity.y;HEAPF64[eventStruct+48>>3]=e.accelerationIncludingGravity.z;HEAPF64[eventStruct+56>>3]=e.rotationRate.alpha;HEAPF64[eventStruct+64>>3]=e.rotationRate.beta;HEAPF64[eventStruct+72>>3]=e.rotationRate.gamma}),registerDeviceMotionEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.deviceMotionEvent)JSEvents.deviceMotionEvent=_malloc(80);var deviceMotionEventHandlerFunc=(function(event){var e=event||window.event;JSEvents.fillDeviceMotionEventData(JSEvents.deviceMotionEvent,e,target);if(Module["dynCall_iiii"](callbackfunc,eventTypeId,JSEvents.deviceMotionEvent,userData))e.preventDefault()});var eventHandler={target:JSEvents.findEventTarget(target),allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:deviceMotionEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),screenOrientation:(function(){if(!window.screen)return undefined;return window.screen.orientation||window.screen.mozOrientation||window.screen.webkitOrientation||window.screen.msOrientation}),fillOrientationChangeEventData:(function(eventStruct,e){var orientations=["portrait-primary","portrait-secondary","landscape-primary","landscape-secondary"];var orientations2=["portrait","portrait","landscape","landscape"];var orientationString=JSEvents.screenOrientation();var orientation=orientations.indexOf(orientationString);if(orientation==-1){orientation=orientations2.indexOf(orientationString)}HEAP32[eventStruct>>2]=1<<orientation;HEAP32[eventStruct+4>>2]=window.orientation}),registerOrientationChangeEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.orientationChangeEvent)JSEvents.orientationChangeEvent=_malloc(8);if(!target){target=window.screen}else{target=JSEvents.findEventTarget(target)}var orientationChangeEventHandlerFunc=(function(event){var e=event||window.event;var orientationChangeEvent=JSEvents.orientationChangeEvent;JSEvents.fillOrientationChangeEventData(orientationChangeEvent,e);if(Module["dynCall_iiii"](callbackfunc,eventTypeId,orientationChangeEvent,userData))e.preventDefault()});if(eventTypeString=="orientationchange"&&window.screen.mozOrientation!==undefined){eventTypeString="mozorientationchange"}var eventHandler={target:target,allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:orientationChangeEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),fullscreenEnabled:(function(){return document.fullscreenEnabled||document.mozFullScreenEnabled||document.webkitFullscreenEnabled||document.msFullscreenEnabled}),fillFullscreenChangeEventData:(function(eventStruct,e){var fullscreenElement=document.fullscreenElement||document.mozFullScreenElement||document.webkitFullscreenElement||document.msFullscreenElement;var isFullscreen=!!fullscreenElement;HEAP32[eventStruct>>2]=isFullscreen;HEAP32[eventStruct+4>>2]=JSEvents.fullscreenEnabled();var reportedElement=isFullscreen?fullscreenElement:JSEvents.previousFullscreenElement;var nodeName=JSEvents.getNodeNameForTarget(reportedElement);var id=reportedElement&&reportedElement.id?reportedElement.id:"";stringToUTF8(nodeName,eventStruct+8,128);stringToUTF8(id,eventStruct+136,128);HEAP32[eventStruct+264>>2]=reportedElement?reportedElement.clientWidth:0;HEAP32[eventStruct+268>>2]=reportedElement?reportedElement.clientHeight:0;HEAP32[eventStruct+272>>2]=screen.width;HEAP32[eventStruct+276>>2]=screen.height;if(isFullscreen){JSEvents.previousFullscreenElement=fullscreenElement}}),registerFullscreenChangeEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.fullscreenChangeEvent)JSEvents.fullscreenChangeEvent=_malloc(280);if(!target)target=document;else target=JSEvents.findEventTarget(target);var fullscreenChangeEventhandlerFunc=(function(event){var e=event||window.event;var fullscreenChangeEvent=JSEvents.fullscreenChangeEvent;JSEvents.fillFullscreenChangeEventData(fullscreenChangeEvent,e);if(Module["dynCall_iiii"](callbackfunc,eventTypeId,fullscreenChangeEvent,userData))e.preventDefault()});var eventHandler={target:target,allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:fullscreenChangeEventhandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),resizeCanvasForFullscreen:(function(target,strategy){var restoreOldStyle=__registerRestoreOldStyle(target);var cssWidth=strategy.softFullscreen?window.innerWidth:screen.width;var cssHeight=strategy.softFullscreen?window.innerHeight:screen.height;var rect=target.getBoundingClientRect();var windowedCssWidth=rect.right-rect.left;var windowedCssHeight=rect.bottom-rect.top;var canvasSize=emscripten_get_canvas_element_size_js(target.id);var windowedRttWidth=canvasSize[0];var windowedRttHeight=canvasSize[1];if(strategy.scaleMode==3){__setLetterbox(target,(cssHeight-windowedCssHeight)/2,(cssWidth-windowedCssWidth)/2);cssWidth=windowedCssWidth;cssHeight=windowedCssHeight}else if(strategy.scaleMode==2){if(cssWidth*windowedRttHeight<windowedRttWidth*cssHeight){var desiredCssHeight=windowedRttHeight*cssWidth/windowedRttWidth;__setLetterbox(target,(cssHeight-desiredCssHeight)/2,0);cssHeight=desiredCssHeight}else{var desiredCssWidth=windowedRttWidth*cssHeight/windowedRttHeight;__setLetterbox(target,0,(cssWidth-desiredCssWidth)/2);cssWidth=desiredCssWidth}}if(!target.style.backgroundColor)target.style.backgroundColor="black";if(!document.body.style.backgroundColor)document.body.style.backgroundColor="black";target.style.width=cssWidth+"px";target.style.height=cssHeight+"px";if(strategy.filteringMode==1){target.style.imageRendering="optimizeSpeed";target.style.imageRendering="-moz-crisp-edges";target.style.imageRendering="-o-crisp-edges";target.style.imageRendering="-webkit-optimize-contrast";target.style.imageRendering="optimize-contrast";target.style.imageRendering="crisp-edges";target.style.imageRendering="pixelated"}var dpiScale=strategy.canvasResolutionScaleMode==2?window.devicePixelRatio:1;if(strategy.canvasResolutionScaleMode!=0){var newWidth=cssWidth*dpiScale|0;var newHeight=cssHeight*dpiScale|0;if(!target.controlTransferredOffscreen){target.width=newWidth;target.height=newHeight}else{emscripten_set_canvas_element_size_js(target.id,newWidth,newHeight)}if(target.GLctxObject)target.GLctxObject.GLctx.viewport(0,0,newWidth,newHeight)}return restoreOldStyle}),requestFullscreen:(function(target,strategy){if(strategy.scaleMode!=0||strategy.canvasResolutionScaleMode!=0){JSEvents.resizeCanvasForFullscreen(target,strategy)}if(target.requestFullscreen){target.requestFullscreen()}else if(target.msRequestFullscreen){target.msRequestFullscreen()}else if(target.mozRequestFullScreen){target.mozRequestFullScreen()}else if(target.mozRequestFullscreen){target.mozRequestFullscreen()}else if(target.webkitRequestFullscreen){target.webkitRequestFullscreen(Element.ALLOW_KEYBOARD_INPUT)}else{if(typeof JSEvents.fullscreenEnabled()==="undefined"){return-1}else{return-3}}if(strategy.canvasResizedCallback){Module["dynCall_iiii"](strategy.canvasResizedCallback,37,0,strategy.canvasResizedCallbackUserData)}return 0}),fillPointerlockChangeEventData:(function(eventStruct,e){var pointerLockElement=document.pointerLockElement||document.mozPointerLockElement||document.webkitPointerLockElement||document.msPointerLockElement;var isPointerlocked=!!pointerLockElement;HEAP32[eventStruct>>2]=isPointerlocked;var nodeName=JSEvents.getNodeNameForTarget(pointerLockElement);var id=pointerLockElement&&pointerLockElement.id?pointerLockElement.id:"";stringToUTF8(nodeName,eventStruct+4,128);stringToUTF8(id,eventStruct+132,128)}),registerPointerlockChangeEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.pointerlockChangeEvent)JSEvents.pointerlockChangeEvent=_malloc(260);if(!target)target=document;else target=JSEvents.findEventTarget(target);var pointerlockChangeEventHandlerFunc=(function(event){var e=event||window.event;var pointerlockChangeEvent=JSEvents.pointerlockChangeEvent;JSEvents.fillPointerlockChangeEventData(pointerlockChangeEvent,e);if(Module["dynCall_iiii"](callbackfunc,eventTypeId,pointerlockChangeEvent,userData))e.preventDefault()});var eventHandler={target:target,allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:pointerlockChangeEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),registerPointerlockErrorEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString){if(!target)target=document;else target=JSEvents.findEventTarget(target);var pointerlockErrorEventHandlerFunc=(function(event){var e=event||window.event;if(Module["dynCall_iiii"](callbackfunc,eventTypeId,0,userData))e.preventDefault()});var eventHandler={target:target,allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:pointerlockErrorEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),requestPointerLock:(function(target){if(target.requestPointerLock){target.requestPointerLock()}else if(target.mozRequestPointerLock){target.mozRequestPointerLock()}else if(target.webkitRequestPointerLock){target.webkitRequestPointerLock()}else if(target.msRequestPointerLock){target.msRequestPointerLock()}else{if(document.body.requestPointerLock||document.body.mozRequestPointerLock||document.body.webkitRequestPointerLock||document.body.msRequestPointerLock){return-3}else{return-1}}return 0}),fillVisibilityChangeEventData:(function(eventStruct,e){var visibilityStates=["hidden","visible","prerender","unloaded"];var visibilityState=visibilityStates.indexOf(document.visibilityState);HEAP32[eventStruct>>2]=document.hidden;HEAP32[eventStruct+4>>2]=visibilityState}),registerVisibilityChangeEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.visibilityChangeEvent)JSEvents.visibilityChangeEvent=_malloc(8);if(!target)target=document;else target=JSEvents.findEventTarget(target);var visibilityChangeEventHandlerFunc=(function(event){var e=event||window.event;var visibilityChangeEvent=JSEvents.visibilityChangeEvent;JSEvents.fillVisibilityChangeEventData(visibilityChangeEvent,e);if(Module["dynCall_iiii"](callbackfunc,eventTypeId,visibilityChangeEvent,userData))e.preventDefault()});var eventHandler={target:target,allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:visibilityChangeEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),registerTouchEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.touchEvent)JSEvents.touchEvent=_malloc(1684);target=JSEvents.findEventTarget(target);var touchEventHandlerFunc=(function(event){var e=event||window.event;var touches={};for(var i=0;i<e.touches.length;++i){var touch=e.touches[i];touches[touch.identifier]=touch}for(var i=0;i<e.changedTouches.length;++i){var touch=e.changedTouches[i];touches[touch.identifier]=touch;touch.changed=true}for(var i=0;i<e.targetTouches.length;++i){var touch=e.targetTouches[i];touches[touch.identifier].onTarget=true}var touchEvent=JSEvents.touchEvent;var ptr=touchEvent;HEAP32[ptr+4>>2]=e.ctrlKey;HEAP32[ptr+8>>2]=e.shiftKey;HEAP32[ptr+12>>2]=e.altKey;HEAP32[ptr+16>>2]=e.metaKey;ptr+=20;var canvasRect=Module["canvas"]?Module["canvas"].getBoundingClientRect():undefined;var targetRect=JSEvents.getBoundingClientRectOrZeros(target);var numTouches=0;for(var i in touches){var t=touches[i];HEAP32[ptr>>2]=t.identifier;HEAP32[ptr+4>>2]=t.screenX;HEAP32[ptr+8>>2]=t.screenY;HEAP32[ptr+12>>2]=t.clientX;HEAP32[ptr+16>>2]=t.clientY;HEAP32[ptr+20>>2]=t.pageX;HEAP32[ptr+24>>2]=t.pageY;HEAP32[ptr+28>>2]=t.changed;HEAP32[ptr+32>>2]=t.onTarget;if(canvasRect){HEAP32[ptr+44>>2]=t.clientX-canvasRect.left;HEAP32[ptr+48>>2]=t.clientY-canvasRect.top}else{HEAP32[ptr+44>>2]=0;HEAP32[ptr+48>>2]=0}HEAP32[ptr+36>>2]=t.clientX-targetRect.left;HEAP32[ptr+40>>2]=t.clientY-targetRect.top;ptr+=52;if(++numTouches>=32){break}}HEAP32[touchEvent>>2]=numTouches;if(Module["dynCall_iiii"](callbackfunc,eventTypeId,touchEvent,userData))e.preventDefault()});var eventHandler={target:target,allowsDeferredCalls:eventTypeString=="touchstart"||eventTypeString=="touchend",eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:touchEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),fillGamepadEventData:(function(eventStruct,e){HEAPF64[eventStruct>>3]=e.timestamp;for(var i=0;i<e.axes.length;++i){HEAPF64[eventStruct+i*8+16>>3]=e.axes[i]}for(var i=0;i<e.buttons.length;++i){if(typeof e.buttons[i]==="object"){HEAPF64[eventStruct+i*8+528>>3]=e.buttons[i].value}else{HEAPF64[eventStruct+i*8+528>>3]=e.buttons[i]}}for(var i=0;i<e.buttons.length;++i){if(typeof e.buttons[i]==="object"){HEAP32[eventStruct+i*4+1040>>2]=e.buttons[i].pressed}else{HEAP32[eventStruct+i*4+1040>>2]=e.buttons[i]==1}}HEAP32[eventStruct+1296>>2]=e.connected;HEAP32[eventStruct+1300>>2]=e.index;HEAP32[eventStruct+8>>2]=e.axes.length;HEAP32[eventStruct+12>>2]=e.buttons.length;stringToUTF8(e.id,eventStruct+1304,64);stringToUTF8(e.mapping,eventStruct+1368,64)}),registerGamepadEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.gamepadEvent)JSEvents.gamepadEvent=_malloc(1432);var gamepadEventHandlerFunc=(function(event){var e=event||window.event;var gamepadEvent=JSEvents.gamepadEvent;JSEvents.fillGamepadEventData(gamepadEvent,e.gamepad);if(Module["dynCall_iiii"](callbackfunc,eventTypeId,gamepadEvent,userData))e.preventDefault()});var eventHandler={target:JSEvents.findEventTarget(target),allowsDeferredCalls:true,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:gamepadEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),registerBeforeUnloadEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString){var beforeUnloadEventHandlerFunc=(function(event){var e=event||window.event;var confirmationMessage=Module["dynCall_iiii"](callbackfunc,eventTypeId,0,userData);if(confirmationMessage){confirmationMessage=Pointer_stringify(confirmationMessage)}if(confirmationMessage){e.preventDefault();e.returnValue=confirmationMessage;return confirmationMessage}});var eventHandler={target:JSEvents.findEventTarget(target),allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:beforeUnloadEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),battery:(function(){return navigator.battery||navigator.mozBattery||navigator.webkitBattery}),fillBatteryEventData:(function(eventStruct,e){HEAPF64[eventStruct>>3]=e.chargingTime;HEAPF64[eventStruct+8>>3]=e.dischargingTime;HEAPF64[eventStruct+16>>3]=e.level;HEAP32[eventStruct+24>>2]=e.charging}),registerBatteryEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!JSEvents.batteryEvent)JSEvents.batteryEvent=_malloc(32);var batteryEventHandlerFunc=(function(event){var e=event||window.event;var batteryEvent=JSEvents.batteryEvent;JSEvents.fillBatteryEventData(batteryEvent,JSEvents.battery());if(Module["dynCall_iiii"](callbackfunc,eventTypeId,batteryEvent,userData))e.preventDefault()});var eventHandler={target:JSEvents.findEventTarget(target),allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:batteryEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)}),registerWebGlEventCallback:(function(target,userData,useCapture,callbackfunc,eventTypeId,eventTypeString,targetThread){if(!target)target=Module["canvas"];var webGlEventHandlerFunc=(function(event){var e=event||window.event;if(Module["dynCall_iiii"](callbackfunc,eventTypeId,0,userData))e.preventDefault()});var eventHandler={target:JSEvents.findEventTarget(target),allowsDeferredCalls:false,eventTypeString:eventTypeString,callbackfunc:callbackfunc,handlerFunc:webGlEventHandlerFunc,useCapture:useCapture};JSEvents.registerOrRemoveHandler(eventHandler)})};var __currentFullscreenStrategy={};function _emscripten_exit_fullscreen(){if(typeof JSEvents.fullscreenEnabled()==="undefined")return-1;JSEvents.removeDeferredCalls(JSEvents.requestFullscreen);if(document.exitFullscreen){document.exitFullscreen()}else if(document.msExitFullscreen){document.msExitFullscreen()}else if(document.mozCancelFullScreen){document.mozCancelFullScreen()}else if(document.webkitExitFullscreen){document.webkitExitFullscreen()}else{return-1}if(__currentFullscreenStrategy.canvasResizedCallback){Module["dynCall_iiii"](__currentFullscreenStrategy.canvasResizedCallback,37,0,__currentFullscreenStrategy.canvasResizedCallbackUserData)}return 0}function _emscripten_exit_pointerlock(){JSEvents.removeDeferredCalls(JSEvents.requestPointerLock);if(document.exitPointerLock){document.exitPointerLock()}else if(document.msExitPointerLock){document.msExitPointerLock()}else if(document.mozExitPointerLock){document.mozExitPointerLock()}else if(document.webkitExitPointerLock){document.webkitExitPointerLock()}else{return-1}return 0}function _emscripten_get_fullscreen_status(fullscreenStatus){if(typeof JSEvents.fullscreenEnabled()==="undefined")return-1;JSEvents.fillFullscreenChangeEventData(fullscreenStatus);return 0}function __emscripten_sample_gamepad_data(){if(!JSEvents.numGamepadsConnected)return;if(Browser.mainLoop.currentFrameNumber!==JSEvents.lastGamepadStateFrame||!Browser.mainLoop.currentFrameNumber){JSEvents.lastGamepadState=navigator.getGamepads?navigator.getGamepads():navigator.webkitGetGamepads?navigator.webkitGetGamepads:null;JSEvents.lastGamepadStateFrame=Browser.mainLoop.currentFrameNumber}}function _emscripten_get_gamepad_status(index,gamepadState){__emscripten_sample_gamepad_data();if(!JSEvents.lastGamepadState)return-1;if(index<0||index>=JSEvents.lastGamepadState.length)return-5;if(!JSEvents.lastGamepadState[index])return-7;JSEvents.fillGamepadEventData(gamepadState,JSEvents.lastGamepadState[index]);return 0}function _emscripten_get_main_loop_timing(mode,value){if(mode)HEAP32[mode>>2]=Browser.mainLoop.timingMode;if(value)HEAP32[value>>2]=Browser.mainLoop.timingValue}function _emscripten_get_num_gamepads(){if(!JSEvents.numGamepadsConnected)return 0;__emscripten_sample_gamepad_data();if(!JSEvents.lastGamepadState)return-1;return JSEvents.lastGamepadState.length}function _emscripten_has_threading_support(){return 0}function _emscripten_html5_remove_all_event_listeners(){JSEvents.removeAllEventListeners()}function _emscripten_is_webgl_context_lost(target){if(!Module.ctx)return true;return Module.ctx.isContextLost()}function __reallyNegative(x){return x<0||x===0&&1/x===-Infinity}function __formatString(format,varargs){assert((varargs&3)===0);var textIndex=format;var argIndex=varargs;function prepVararg(ptr,type){if(type==="double"||type==="i64"){if(ptr&7){assert((ptr&7)===4);ptr+=4}}else{assert((ptr&3)===0)}return ptr}function getNextArg(type){var ret;argIndex=prepVararg(argIndex,type);if(type==="double"){ret=HEAPF64[argIndex>>3];argIndex+=8}else if(type=="i64"){ret=[HEAP32[argIndex>>2],HEAP32[argIndex+4>>2]];argIndex+=8}else{assert((argIndex&3)===0);type="i32";ret=HEAP32[argIndex>>2];argIndex+=4}return ret}var ret=[];var curr,next,currArg;while(1){var startTextIndex=textIndex;curr=HEAP8[textIndex>>0];if(curr===0)break;next=HEAP8[textIndex+1>>0];if(curr==37){var flagAlwaysSigned=false;var flagLeftAlign=false;var flagAlternative=false;var flagZeroPad=false;var flagPadSign=false;flagsLoop:while(1){switch(next){case 43:flagAlwaysSigned=true;break;case 45:flagLeftAlign=true;break;case 35:flagAlternative=true;break;case 48:if(flagZeroPad){break flagsLoop}else{flagZeroPad=true;break};case 32:flagPadSign=true;break;default:break flagsLoop}textIndex++;next=HEAP8[textIndex+1>>0]}var width=0;if(next==42){width=getNextArg("i32");textIndex++;next=HEAP8[textIndex+1>>0]}else{while(next>=48&&next<=57){width=width*10+(next-48);textIndex++;next=HEAP8[textIndex+1>>0]}}var precisionSet=false,precision=-1;if(next==46){precision=0;precisionSet=true;textIndex++;next=HEAP8[textIndex+1>>0];if(next==42){precision=getNextArg("i32");textIndex++}else{while(1){var precisionChr=HEAP8[textIndex+1>>0];if(precisionChr<48||precisionChr>57)break;precision=precision*10+(precisionChr-48);textIndex++}}next=HEAP8[textIndex+1>>0]}if(precision<0){precision=6;precisionSet=false}var argSize;switch(String.fromCharCode(next)){case"h":var nextNext=HEAP8[textIndex+2>>0];if(nextNext==104){textIndex++;argSize=1}else{argSize=2}break;case"l":var nextNext=HEAP8[textIndex+2>>0];if(nextNext==108){textIndex++;argSize=8}else{argSize=4}break;case"L":case"q":case"j":argSize=8;break;case"z":case"t":case"I":argSize=4;break;default:argSize=null}if(argSize)textIndex++;next=HEAP8[textIndex+1>>0];switch(String.fromCharCode(next)){case"d":case"i":case"u":case"o":case"x":case"X":case"p":{var signed=next==100||next==105;argSize=argSize||4;currArg=getNextArg("i"+argSize*8);var origArg=currArg;var argText;if(argSize==8){currArg=makeBigInt(currArg[0],currArg[1],next==117)}if(argSize<=4){var limit=Math.pow(256,argSize)-1;currArg=(signed?reSign:unSign)(currArg&limit,argSize*8)}var currAbsArg=Math.abs(currArg);var prefix="";if(next==100||next==105){if(argSize==8&&typeof i64Math==="object")argText=i64Math.stringify(origArg[0],origArg[1],null);else argText=reSign(currArg,8*argSize,1).toString(10)}else if(next==117){if(argSize==8&&typeof i64Math==="object")argText=i64Math.stringify(origArg[0],origArg[1],true);else argText=unSign(currArg,8*argSize,1).toString(10);currArg=Math.abs(currArg)}else if(next==111){argText=(flagAlternative?"0":"")+currAbsArg.toString(8)}else if(next==120||next==88){prefix=flagAlternative&&currArg!=0?"0x":"";if(argSize==8&&typeof i64Math==="object"){if(origArg[1]){argText=(origArg[1]>>>0).toString(16);var lower=(origArg[0]>>>0).toString(16);while(lower.length<8)lower="0"+lower;argText+=lower}else{argText=(origArg[0]>>>0).toString(16)}}else if(currArg<0){currArg=-currArg;argText=(currAbsArg-1).toString(16);var buffer=[];for(var i=0;i<argText.length;i++){buffer.push((15-parseInt(argText[i],16)).toString(16))}argText=buffer.join("");while(argText.length<argSize*2)argText="f"+argText}else{argText=currAbsArg.toString(16)}if(next==88){prefix=prefix.toUpperCase();argText=argText.toUpperCase()}}else if(next==112){if(currAbsArg===0){argText="(nil)"}else{prefix="0x";argText=currAbsArg.toString(16)}}if(precisionSet){while(argText.length<precision){argText="0"+argText}}if(currArg>=0){if(flagAlwaysSigned){prefix="+"+prefix}else if(flagPadSign){prefix=" "+prefix}}if(argText.charAt(0)=="-"){prefix="-"+prefix;argText=argText.substr(1)}while(prefix.length+argText.length<width){if(flagLeftAlign){argText+=" "}else{if(flagZeroPad){argText="0"+argText}else{prefix=" "+prefix}}}argText=prefix+argText;argText.split("").forEach((function(chr){ret.push(chr.charCodeAt(0))}));break};case"f":case"F":case"e":case"E":case"g":case"G":{currArg=getNextArg("double");var argText;if(isNaN(currArg)){argText="nan";flagZeroPad=false}else if(!isFinite(currArg)){argText=(currArg<0?"-":"")+"inf";flagZeroPad=false}else{var isGeneral=false;var effectivePrecision=Math.min(precision,20);if(next==103||next==71){isGeneral=true;precision=precision||1;var exponent=parseInt(currArg.toExponential(effectivePrecision).split("e")[1],10);if(precision>exponent&&exponent>=-4){next=(next==103?"f":"F").charCodeAt(0);precision-=exponent+1}else{next=(next==103?"e":"E").charCodeAt(0);precision--}effectivePrecision=Math.min(precision,20)}if(next==101||next==69){argText=currArg.toExponential(effectivePrecision);if(/[eE][-+]\d$/.test(argText)){argText=argText.slice(0,-1)+"0"+argText.slice(-1)}}else if(next==102||next==70){argText=currArg.toFixed(effectivePrecision);if(currArg===0&&__reallyNegative(currArg)){argText="-"+argText}}var parts=argText.split("e");if(isGeneral&&!flagAlternative){while(parts[0].length>1&&parts[0].indexOf(".")!=-1&&(parts[0].slice(-1)=="0"||parts[0].slice(-1)==".")){parts[0]=parts[0].slice(0,-1)}}else{if(flagAlternative&&argText.indexOf(".")==-1)parts[0]+=".";while(precision>effectivePrecision++)parts[0]+="0"}argText=parts[0]+(parts.length>1?"e"+parts[1]:"");if(next==69)argText=argText.toUpperCase();if(currArg>=0){if(flagAlwaysSigned){argText="+"+argText}else if(flagPadSign){argText=" "+argText}}}while(argText.length<width){if(flagLeftAlign){argText+=" "}else{if(flagZeroPad&&(argText[0]=="-"||argText[0]=="+")){argText=argText[0]+"0"+argText.slice(1)}else{argText=(flagZeroPad?"0":" ")+argText}}}if(next<97)argText=argText.toUpperCase();argText.split("").forEach((function(chr){ret.push(chr.charCodeAt(0))}));break};case"s":{var arg=getNextArg("i8*");var argLength=arg?_strlen(arg):"(null)".length;if(precisionSet)argLength=Math.min(argLength,precision);if(!flagLeftAlign){while(argLength<width--){ret.push(32)}}if(arg){for(var i=0;i<argLength;i++){ret.push(HEAPU8[arg++>>0])}}else{ret=ret.concat(intArrayFromString("(null)".substr(0,argLength),true))}if(flagLeftAlign){while(argLength<width--){ret.push(32)}}break};case"c":{if(flagLeftAlign)ret.push(getNextArg("i8"));while(--width>0){ret.push(32)}if(!flagLeftAlign)ret.push(getNextArg("i8"));break};case"n":{var ptr=getNextArg("i32*");HEAP32[ptr>>2]=ret.length;break};case"%":{ret.push(curr);break};default:{for(var i=startTextIndex;i<textIndex+2;i++){ret.push(HEAP8[i>>0])}}}textIndex+=2}else{ret.push(curr);textIndex+=1}}return ret}function __emscripten_traverse_stack(args){if(!args||!args.callee||!args.callee.name){return[null,"",""]}var funstr=args.callee.toString();var funcname=args.callee.name;var str="(";var first=true;for(var i in args){var a=args[i];if(!first){str+=", "}first=false;if(typeof a==="number"||typeof a==="string"){str+=a}else{str+="("+typeof a+")"}}str+=")";var caller=args.callee.caller;args=caller?caller.arguments:[];if(first)str="";return[args,funcname,str]}function _emscripten_get_callstack_js(flags){var callstack=jsStackTrace();var iThisFunc=callstack.lastIndexOf("_emscripten_log");var iThisFunc2=callstack.lastIndexOf("_emscripten_get_callstack");var iNextLine=callstack.indexOf("\n",Math.max(iThisFunc,iThisFunc2))+1;callstack=callstack.slice(iNextLine);if(flags&8&&typeof emscripten_source_map==="undefined"){warnOnce('Source map information is not available, emscripten_log with EM_LOG_C_STACK will be ignored. Build with "--pre-js $EMSCRIPTEN/src/emscripten-source-map.min.js" linker flag to add source map loading to code.');flags^=8;flags|=16}var stack_args=null;if(flags&128){stack_args=__emscripten_traverse_stack(arguments);while(stack_args[1].indexOf("_emscripten_")>=0)stack_args=__emscripten_traverse_stack(stack_args[0])}var lines=callstack.split("\n");callstack="";var newFirefoxRe=new RegExp("\\s*(.*?)@(.*?):([0-9]+):([0-9]+)");var firefoxRe=new RegExp("\\s*(.*?)@(.*):(.*)(:(.*))?");var chromeRe=new RegExp("\\s*at (.*?) \\((.*):(.*):(.*)\\)");for(var l in lines){var line=lines[l];var jsSymbolName="";var file="";var lineno=0;var column=0;var parts=chromeRe.exec(line);if(parts&&parts.length==5){jsSymbolName=parts[1];file=parts[2];lineno=parts[3];column=parts[4]}else{parts=newFirefoxRe.exec(line);if(!parts)parts=firefoxRe.exec(line);if(parts&&parts.length>=4){jsSymbolName=parts[1];file=parts[2];lineno=parts[3];column=parts[4]|0}else{callstack+=line+"\n";continue}}var cSymbolName=flags&32?demangle(jsSymbolName):jsSymbolName;if(!cSymbolName){cSymbolName=jsSymbolName}var haveSourceMap=false;if(flags&8){var orig=emscripten_source_map.originalPositionFor({line:lineno,column:column});haveSourceMap=orig&&orig.source;if(haveSourceMap){if(flags&64){orig.source=orig.source.substring(orig.source.replace(/\\/g,"/").lastIndexOf("/")+1)}callstack+="    at "+cSymbolName+" ("+orig.source+":"+orig.line+":"+orig.column+")\n"}}if(flags&16||!haveSourceMap){if(flags&64){file=file.substring(file.replace(/\\/g,"/").lastIndexOf("/")+1)}callstack+=(haveSourceMap?"     = "+jsSymbolName:"    at "+cSymbolName)+" ("+file+":"+lineno+":"+column+")\n"}if(flags&128&&stack_args[0]){if(stack_args[1]==jsSymbolName&&stack_args[2].length>0){callstack=callstack.replace(/\s+$/,"");callstack+=" with values: "+stack_args[1]+stack_args[2]+"\n"}stack_args=__emscripten_traverse_stack(stack_args[0])}}callstack=callstack.replace(/\s+$/,"");return callstack}function _emscripten_log_js(flags,str){if(flags&24){str=str.replace(/\s+$/,"");str+=(str.length>0?"\n":"")+_emscripten_get_callstack_js(flags)}if(flags&1){if(flags&4){console.error(str)}else if(flags&2){console.warn(str)}else{console.log(str)}}else if(flags&6){err(str)}else{out(str)}}function _emscripten_log(flags,varargs){var format=HEAP32[varargs>>2];varargs+=4;var str="";if(format){var result=__formatString(format,varargs);for(var i=0;i<result.length;++i){str+=String.fromCharCode(result[i])}}_emscripten_log_js(flags,str)}function _longjmp(env,value){Module["setThrew"](env,value||1);throw"longjmp"}function _emscripten_longjmp(env,value){_longjmp(env,value)}function _emscripten_num_logical_cores(){return 1}function __setLetterbox(element,topBottom,leftRight){if(JSEvents.isInternetExplorer()){element.style.marginLeft=element.style.marginRight=leftRight+"px";element.style.marginTop=element.style.marginBottom=topBottom+"px"}else{element.style.paddingLeft=element.style.paddingRight=leftRight+"px";element.style.paddingTop=element.style.paddingBottom=topBottom+"px"}}function __emscripten_do_request_fullscreen(target,strategy){if(typeof JSEvents.fullscreenEnabled()==="undefined")return-1;if(!JSEvents.fullscreenEnabled())return-3;if(!target)target="#canvas";target=JSEvents.findEventTarget(target);if(!target)return-4;if(!target.requestFullscreen&&!target.msRequestFullscreen&&!target.mozRequestFullScreen&&!target.mozRequestFullscreen&&!target.webkitRequestFullscreen){return-3}var canPerformRequests=JSEvents.canPerformEventHandlerRequests();if(!canPerformRequests){if(strategy.deferUntilInEventHandler){JSEvents.deferCall(JSEvents.requestFullscreen,1,[target,strategy]);return 1}else{return-2}}return JSEvents.requestFullscreen(target,strategy)}function _emscripten_request_fullscreen(target,deferUntilInEventHandler){var strategy={};strategy.scaleMode=0;strategy.canvasResolutionScaleMode=0;strategy.filteringMode=0;strategy.deferUntilInEventHandler=deferUntilInEventHandler;strategy.canvasResizedCallbackTargetThread=2;return __emscripten_do_request_fullscreen(target,strategy)}function _emscripten_request_pointerlock(target,deferUntilInEventHandler){if(!target)target="#canvas";target=JSEvents.findEventTarget(target);if(!target)return-4;if(!target.requestPointerLock&&!target.mozRequestPointerLock&&!target.webkitRequestPointerLock&&!target.msRequestPointerLock){return-1}var canPerformRequests=JSEvents.canPerformEventHandlerRequests();if(!canPerformRequests){if(deferUntilInEventHandler){JSEvents.deferCall(JSEvents.requestPointerLock,2,[target]);return 1}else{return-2}}return JSEvents.requestPointerLock(target)}function _emscripten_set_blur_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerFocusEventCallback(target,userData,useCapture,callbackfunc,12,"blur",targetThread);return 0}function _emscripten_set_dblclick_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerMouseEventCallback(target,userData,useCapture,callbackfunc,7,"dblclick",targetThread);return 0}function _emscripten_set_devicemotion_callback_on_thread(userData,useCapture,callbackfunc,targetThread){JSEvents.registerDeviceMotionEventCallback(window,userData,useCapture,callbackfunc,17,"devicemotion",targetThread);return 0}function _emscripten_set_deviceorientation_callback_on_thread(userData,useCapture,callbackfunc,targetThread){JSEvents.registerDeviceOrientationEventCallback(window,userData,useCapture,callbackfunc,16,"deviceorientation",targetThread);return 0}function _emscripten_set_focus_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerFocusEventCallback(target,userData,useCapture,callbackfunc,13,"focus",targetThread);return 0}function _emscripten_set_fullscreenchange_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){if(typeof JSEvents.fullscreenEnabled()==="undefined")return-1;if(!target)target=document;else{target=JSEvents.findEventTarget(target);if(!target)return-4}JSEvents.registerFullscreenChangeEventCallback(target,userData,useCapture,callbackfunc,19,"fullscreenchange",targetThread);JSEvents.registerFullscreenChangeEventCallback(target,userData,useCapture,callbackfunc,19,"mozfullscreenchange",targetThread);JSEvents.registerFullscreenChangeEventCallback(target,userData,useCapture,callbackfunc,19,"webkitfullscreenchange",targetThread);JSEvents.registerFullscreenChangeEventCallback(target,userData,useCapture,callbackfunc,19,"msfullscreenchange",targetThread);return 0}function _emscripten_set_gamepadconnected_callback_on_thread(userData,useCapture,callbackfunc,targetThread){if(!navigator.getGamepads&&!navigator.webkitGetGamepads)return-1;JSEvents.registerGamepadEventCallback(window,userData,useCapture,callbackfunc,26,"gamepadconnected",targetThread);return 0}function _emscripten_set_gamepaddisconnected_callback_on_thread(userData,useCapture,callbackfunc,targetThread){if(!navigator.getGamepads&&!navigator.webkitGetGamepads)return-1;JSEvents.registerGamepadEventCallback(window,userData,useCapture,callbackfunc,27,"gamepaddisconnected",targetThread);return 0}function _emscripten_set_keydown_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerKeyEventCallback(target,userData,useCapture,callbackfunc,2,"keydown",targetThread);return 0}function _emscripten_set_keypress_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerKeyEventCallback(target,userData,useCapture,callbackfunc,1,"keypress",targetThread);return 0}function _emscripten_set_keyup_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerKeyEventCallback(target,userData,useCapture,callbackfunc,3,"keyup",targetThread);return 0}function _emscripten_set_mousedown_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerMouseEventCallback(target,userData,useCapture,callbackfunc,5,"mousedown",targetThread);return 0}function _emscripten_set_mousemove_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerMouseEventCallback(target,userData,useCapture,callbackfunc,8,"mousemove",targetThread);return 0}function _emscripten_set_mouseup_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerMouseEventCallback(target,userData,useCapture,callbackfunc,6,"mouseup",targetThread);return 0}function _emscripten_set_touchcancel_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerTouchEventCallback(target,userData,useCapture,callbackfunc,25,"touchcancel",targetThread);return 0}function _emscripten_set_touchend_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerTouchEventCallback(target,userData,useCapture,callbackfunc,23,"touchend",targetThread);return 0}function _emscripten_set_touchmove_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerTouchEventCallback(target,userData,useCapture,callbackfunc,24,"touchmove",targetThread);return 0}function _emscripten_set_touchstart_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){JSEvents.registerTouchEventCallback(target,userData,useCapture,callbackfunc,22,"touchstart",targetThread);return 0}function _emscripten_set_wheel_callback_on_thread(target,userData,useCapture,callbackfunc,targetThread){target=JSEvents.findEventTarget(target);if(typeof target.onwheel!=="undefined"){JSEvents.registerWheelEventCallback(target,userData,useCapture,callbackfunc,9,"wheel",targetThread);return 0}else if(typeof target.onmousewheel!=="undefined"){JSEvents.registerWheelEventCallback(target,userData,useCapture,callbackfunc,9,"mousewheel",targetThread);return 0}else{return-1}}var GL={counter:1,lastError:0,buffers:[],mappedBuffers:{},programs:[],framebuffers:[],renderbuffers:[],textures:[],uniforms:[],shaders:[],vaos:[],contexts:[],currentContext:null,offscreenCanvases:{},timerQueriesEXT:[],queries:[],samplers:[],transformFeedbacks:[],syncs:[],byteSizeByTypeRoot:5120,byteSizeByType:[1,1,2,2,4,4,4,2,3,4,8],programInfos:{},stringCache:{},stringiCache:{},tempFixedLengthArray:[],packAlignment:4,unpackAlignment:4,init:(function(){GL.miniTempBuffer=new Float32Array(GL.MINI_TEMP_BUFFER_SIZE);for(var i=0;i<GL.MINI_TEMP_BUFFER_SIZE;i++){GL.miniTempBufferViews[i]=GL.miniTempBuffer.subarray(0,i+1)}for(var i=0;i<32;i++){GL.tempFixedLengthArray.push(new Array(i))}}),recordError:function recordError(errorCode){if(!GL.lastError){GL.lastError=errorCode}},getNewId:(function(table){var ret=GL.counter++;for(var i=table.length;i<ret;i++){table[i]=null}return ret}),MINI_TEMP_BUFFER_SIZE:256,miniTempBuffer:null,miniTempBufferViews:[0],getSource:(function(shader,count,string,length){var source="";for(var i=0;i<count;++i){var frag;if(length){var len=HEAP32[length+i*4>>2];if(len<0){frag=Pointer_stringify(HEAP32[string+i*4>>2])}else{frag=Pointer_stringify(HEAP32[string+i*4>>2],len)}}else{frag=Pointer_stringify(HEAP32[string+i*4>>2])}source+=frag}return source}),createContext:(function(canvas,webGLContextAttributes){if(typeof webGLContextAttributes["majorVersion"]==="undefined"&&typeof webGLContextAttributes["minorVersion"]==="undefined"){if(typeof WebGL2RenderingContext!=="undefined")webGLContextAttributes["majorVersion"]=2;else webGLContextAttributes["majorVersion"]=1;webGLContextAttributes["minorVersion"]=0}var ctx;var errorInfo="?";function onContextCreationError(event){errorInfo=event.statusMessage||errorInfo}try{canvas.addEventListener("webglcontextcreationerror",onContextCreationError,false);try{if(webGLContextAttributes["majorVersion"]==1&&webGLContextAttributes["minorVersion"]==0){ctx=canvas.getContext("webgl",webGLContextAttributes)||canvas.getContext("experimental-webgl",webGLContextAttributes)}else if(webGLContextAttributes["majorVersion"]==2&&webGLContextAttributes["minorVersion"]==0){ctx=canvas.getContext("webgl2",webGLContextAttributes)}else{throw"Unsupported WebGL context version "+majorVersion+"."+minorVersion+"!"}}finally{canvas.removeEventListener("webglcontextcreationerror",onContextCreationError,false)}if(!ctx)throw":("}catch(e){out("Could not create canvas: "+[errorInfo,e,JSON.stringify(webGLContextAttributes)]);return 0}if(!ctx)return 0;var context=GL.registerContext(ctx,webGLContextAttributes);return context}),registerContext:(function(ctx,webGLContextAttributes){var handle=_malloc(8);HEAP32[handle>>2]=webGLContextAttributes["explicitSwapControl"];var context={handle:handle,attributes:webGLContextAttributes,version:webGLContextAttributes["majorVersion"],GLctx:ctx};function getChromeVersion(){var raw=navigator.userAgent.match(/Chrom(e|ium)\/([0-9]+)\./);return raw?parseInt(raw[2],10):false}context.supportsWebGL2EntryPoints=context.version>=2&&(getChromeVersion()===false||getChromeVersion()>=58);if(ctx.canvas)ctx.canvas.GLctxObject=context;GL.contexts[handle]=context;if(typeof webGLContextAttributes["enableExtensionsByDefault"]==="undefined"||webGLContextAttributes["enableExtensionsByDefault"]){GL.initExtensions(context)}if(webGLContextAttributes["renderViaOffscreenBackBuffer"]){return 0}return handle}),makeContextCurrent:(function(contextHandle){if(!contextHandle){GLctx=Module.ctx=GL.currentContext=null;return true}var context=GL.contexts[contextHandle];if(!context){return false}GLctx=Module.ctx=context.GLctx;GL.currentContext=context;return true}),getContext:(function(contextHandle){return GL.contexts[contextHandle]}),deleteContext:(function(contextHandle){if(!contextHandle)return;if(GL.currentContext===GL.contexts[contextHandle])GL.currentContext=null;if(typeof JSEvents==="object")JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);if(GL.contexts[contextHandle]&&GL.contexts[contextHandle].GLctx.canvas)GL.contexts[contextHandle].GLctx.canvas.GLctxObject=undefined;_free(GL.contexts[contextHandle]);GL.contexts[contextHandle]=null}),initExtensions:(function(context){if(!context)context=GL.currentContext;if(context.initExtensionsDone)return;context.initExtensionsDone=true;var GLctx=context.GLctx;context.maxVertexAttribs=GLctx.getParameter(GLctx.MAX_VERTEX_ATTRIBS);if(context.version<2){var instancedArraysExt=GLctx.getExtension("ANGLE_instanced_arrays");if(instancedArraysExt){GLctx["vertexAttribDivisor"]=(function(index,divisor){instancedArraysExt["vertexAttribDivisorANGLE"](index,divisor)});GLctx["drawArraysInstanced"]=(function(mode,first,count,primcount){instancedArraysExt["drawArraysInstancedANGLE"](mode,first,count,primcount)});GLctx["drawElementsInstanced"]=(function(mode,count,type,indices,primcount){instancedArraysExt["drawElementsInstancedANGLE"](mode,count,type,indices,primcount)})}var vaoExt=GLctx.getExtension("OES_vertex_array_object");if(vaoExt){GLctx["createVertexArray"]=(function(){return vaoExt["createVertexArrayOES"]()});GLctx["deleteVertexArray"]=(function(vao){vaoExt["deleteVertexArrayOES"](vao)});GLctx["bindVertexArray"]=(function(vao){vaoExt["bindVertexArrayOES"](vao)});GLctx["isVertexArray"]=(function(vao){return vaoExt["isVertexArrayOES"](vao)})}var drawBuffersExt=GLctx.getExtension("WEBGL_draw_buffers");if(drawBuffersExt){GLctx["drawBuffers"]=(function(n,bufs){drawBuffersExt["drawBuffersWEBGL"](n,bufs)})}}GLctx.disjointTimerQueryExt=GLctx.getExtension("EXT_disjoint_timer_query");var automaticallyEnabledExtensions=["OES_texture_float","OES_texture_half_float","OES_standard_derivatives","OES_vertex_array_object","WEBGL_compressed_texture_s3tc","WEBGL_depth_texture","OES_element_index_uint","EXT_texture_filter_anisotropic","EXT_frag_depth","WEBGL_draw_buffers","ANGLE_instanced_arrays","OES_texture_float_linear","OES_texture_half_float_linear","EXT_blend_minmax","EXT_shader_texture_lod","WEBGL_compressed_texture_pvrtc","EXT_color_buffer_half_float","WEBGL_color_buffer_float","EXT_sRGB","WEBGL_compressed_texture_etc1","EXT_disjoint_timer_query","WEBGL_compressed_texture_etc","WEBGL_compressed_texture_astc","EXT_color_buffer_float","WEBGL_compressed_texture_s3tc_srgb","EXT_disjoint_timer_query_webgl2"];var exts=GLctx.getSupportedExtensions();if(exts&&exts.length>0){GLctx.getSupportedExtensions().forEach((function(ext){if(automaticallyEnabledExtensions.indexOf(ext)!=-1){GLctx.getExtension(ext)}}))}}),populateUniformTable:(function(program){var p=GL.programs[program];GL.programInfos[program]={uniforms:{},maxUniformLength:0,maxAttributeLength:-1,maxUniformBlockNameLength:-1};var ptable=GL.programInfos[program];var utable=ptable.uniforms;var numUniforms=GLctx.getProgramParameter(p,GLctx.ACTIVE_UNIFORMS);for(var i=0;i<numUniforms;++i){var u=GLctx.getActiveUniform(p,i);var name=u.name;ptable.maxUniformLength=Math.max(ptable.maxUniformLength,name.length+1);if(name.indexOf("]",name.length-1)!==-1){var ls=name.lastIndexOf("[");name=name.slice(0,ls)}var loc=GLctx.getUniformLocation(p,name);if(loc!=null){var id=GL.getNewId(GL.uniforms);utable[name]=[u.size,id];GL.uniforms[id]=loc;for(var j=1;j<u.size;++j){var n=name+"["+j+"]";loc=GLctx.getUniformLocation(p,n);id=GL.getNewId(GL.uniforms);GL.uniforms[id]=loc}}}})};function _emscripten_webgl_do_create_context(target,attributes){var contextAttributes={};contextAttributes["alpha"]=!!HEAP32[attributes>>2];contextAttributes["depth"]=!!HEAP32[attributes+4>>2];contextAttributes["stencil"]=!!HEAP32[attributes+8>>2];contextAttributes["antialias"]=!!HEAP32[attributes+12>>2];contextAttributes["premultipliedAlpha"]=!!HEAP32[attributes+16>>2];contextAttributes["preserveDrawingBuffer"]=!!HEAP32[attributes+20>>2];contextAttributes["preferLowPowerToHighPerformance"]=!!HEAP32[attributes+24>>2];contextAttributes["failIfMajorPerformanceCaveat"]=!!HEAP32[attributes+28>>2];contextAttributes["majorVersion"]=HEAP32[attributes+32>>2];contextAttributes["minorVersion"]=HEAP32[attributes+36>>2];contextAttributes["explicitSwapControl"]=HEAP32[attributes+44>>2];contextAttributes["proxyContextToMainThread"]=HEAP32[attributes+48>>2];contextAttributes["renderViaOffscreenBackBuffer"]=HEAP32[attributes+52>>2];target=Pointer_stringify(target);var canvas;if((!target||target==="#canvas")&&Module["canvas"]){canvas=Module["canvas"].id&&GL.offscreenCanvases[Module["canvas"].id]?GL.offscreenCanvases[Module["canvas"].id].offscreenCanvas||JSEvents.findEventTarget(Module["canvas"].id):Module["canvas"]}else{canvas=GL.offscreenCanvases[target]?GL.offscreenCanvases[target].offscreenCanvas:JSEvents.findEventTarget(target)}if(!canvas){return 0}if(contextAttributes["explicitSwapControl"]){return 0}var contextHandle=GL.createContext(canvas,contextAttributes);return contextHandle}function _emscripten_webgl_create_context(){return _emscripten_webgl_do_create_context.apply(null,arguments)}function _emscripten_webgl_destroy_context_calling_thread(contextHandle){GL.deleteContext(contextHandle)}function _emscripten_webgl_destroy_context(){return _emscripten_webgl_destroy_context_calling_thread.apply(null,arguments)}function _emscripten_webgl_enable_extension_calling_thread(contextHandle,extension){var context=GL.getContext(contextHandle);var extString=Pointer_stringify(extension);if(extString.indexOf("GL_")==0)extString=extString.substr(3);var ext=context.GLctx.getExtension(extString);return ext?1:0}function _emscripten_webgl_enable_extension(){return _emscripten_webgl_enable_extension_calling_thread.apply(null,arguments)}function _emscripten_webgl_do_get_current_context(){return GL.currentContext?GL.currentContext.handle:0}function _emscripten_webgl_get_current_context(){return _emscripten_webgl_do_get_current_context.apply(null,arguments)}function _emscripten_webgl_init_context_attributes(attributes){HEAP32[attributes>>2]=1;HEAP32[attributes+4>>2]=1;HEAP32[attributes+8>>2]=0;HEAP32[attributes+12>>2]=1;HEAP32[attributes+16>>2]=1;HEAP32[attributes+20>>2]=0;HEAP32[attributes+24>>2]=0;HEAP32[attributes+28>>2]=0;HEAP32[attributes+32>>2]=1;HEAP32[attributes+36>>2]=0;HEAP32[attributes+40>>2]=1;HEAP32[attributes+44>>2]=0;HEAP32[attributes+48>>2]=0;HEAP32[attributes+52>>2]=0}function _emscripten_webgl_make_context_current(contextHandle){var success=GL.makeContextCurrent(contextHandle);return success?0:-5}function __exit(status){exit(status)}function _exit(status){__exit(status)}function _flock(fd,operation){return 0}function _getenv(name){if(name===0)return 0;name=Pointer_stringify(name);if(!ENV.hasOwnProperty(name))return 0;if(_getenv.ret)_free(_getenv.ret);_getenv.ret=allocateUTF8(ENV[name]);return _getenv.ret}function _gethostbyname(name){name=Pointer_stringify(name);var ret=_malloc(20);var nameBuf=_malloc(name.length+1);stringToUTF8(name,nameBuf,name.length+1);HEAP32[ret>>2]=nameBuf;var aliasesBuf=_malloc(4);HEAP32[aliasesBuf>>2]=0;HEAP32[ret+4>>2]=aliasesBuf;var afinet=2;HEAP32[ret+8>>2]=afinet;HEAP32[ret+12>>2]=4;var addrListBuf=_malloc(12);HEAP32[addrListBuf>>2]=addrListBuf+8;HEAP32[addrListBuf+4>>2]=0;HEAP32[addrListBuf+8>>2]=__inet_pton4_raw(DNS.lookup_name(name));HEAP32[ret+16>>2]=addrListBuf;return ret}function _gethostbyaddr(addr,addrlen,type){if(type!==2){___setErrNo(ERRNO_CODES.EAFNOSUPPORT);return null}addr=HEAP32[addr>>2];var host=__inet_ntop4_raw(addr);var lookup=DNS.lookup_addr(host);if(lookup){host=lookup}var hostp=allocate(intArrayFromString(host),"i8",ALLOC_STACK);return _gethostbyname(hostp)}function _getpagesize(){return PAGE_SIZE}function _getpwuid(uid){return 0}function _gettimeofday(ptr){var now=Date.now();HEAP32[ptr>>2]=now/1e3|0;HEAP32[ptr+4>>2]=now%1e3*1e3|0;return 0}function _glActiveTexture(x0){GLctx["activeTexture"](x0)}function _glAttachShader(program,shader){GLctx.attachShader(GL.programs[program],GL.shaders[shader])}function _glBeginQuery(target,id){GLctx["beginQuery"](target,id?GL.queries[id]:null)}function _glBeginTransformFeedback(x0){GLctx["beginTransformFeedback"](x0)}function _glBindAttribLocation(program,index,name){name=Pointer_stringify(name);GLctx.bindAttribLocation(GL.programs[program],index,name)}function _glBindBuffer(target,buffer){var bufferObj=buffer?GL.buffers[buffer]:null;if(target==35051){GLctx.currentPixelPackBufferBinding=buffer}else if(target==35052){GLctx.currentPixelUnpackBufferBinding=buffer}GLctx.bindBuffer(target,bufferObj)}function _glBindBufferBase(target,index,buffer){var bufferObj=buffer?GL.buffers[buffer]:null;GLctx["bindBufferBase"](target,index,bufferObj)}function _glBindBufferRange(target,index,buffer,offset,ptrsize){var bufferObj=buffer?GL.buffers[buffer]:null;GLctx["bindBufferRange"](target,index,bufferObj,offset,ptrsize)}function _glBindFramebuffer(target,framebuffer){GLctx.bindFramebuffer(target,framebuffer?GL.framebuffers[framebuffer]:null)}function _glBindRenderbuffer(target,renderbuffer){GLctx.bindRenderbuffer(target,renderbuffer?GL.renderbuffers[renderbuffer]:null)}function _glBindSampler(unit,sampler){GLctx["bindSampler"](unit,sampler?GL.samplers[sampler]:null)}function _glBindTexture(target,texture){GLctx.bindTexture(target,texture?GL.textures[texture]:null)}function _glBindTransformFeedback(target,id){var transformFeedback=id?GL.transformFeedbacks[id]:null;if(id&&!transformFeedback){GL.recordError(1282);return}GLctx["bindTransformFeedback"](target,transformFeedback)}function _glBindVertexArray(vao){GLctx["bindVertexArray"](GL.vaos[vao])}function _glBlendEquation(x0){GLctx["blendEquation"](x0)}function _glBlendEquationSeparate(x0,x1){GLctx["blendEquationSeparate"](x0,x1)}function _glBlendFuncSeparate(x0,x1,x2,x3){GLctx["blendFuncSeparate"](x0,x1,x2,x3)}function _glBlitFramebuffer(x0,x1,x2,x3,x4,x5,x6,x7,x8,x9){GLctx["blitFramebuffer"](x0,x1,x2,x3,x4,x5,x6,x7,x8,x9)}function _glBufferData(target,size,data,usage){if(!data){GLctx.bufferData(target,size,usage)}else{if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.bufferData(target,HEAPU8,usage,data,size);return}GLctx.bufferData(target,HEAPU8.subarray(data,data+size),usage)}}function _glBufferSubData(target,offset,size,data){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.bufferSubData(target,offset,HEAPU8,data,size);return}GLctx.bufferSubData(target,offset,HEAPU8.subarray(data,data+size))}function _glCheckFramebufferStatus(x0){return GLctx["checkFramebufferStatus"](x0)}function _glClear(x0){GLctx["clear"](x0)}function _glClearBufferfi(x0,x1,x2,x3){GLctx["clearBufferfi"](x0,x1,x2,x3)}function _glClearBufferfv(buffer,drawbuffer,value){GLctx["clearBufferfv"](buffer,drawbuffer,HEAPF32,value>>2)}function _glClearBufferuiv(buffer,drawbuffer,value){GLctx["clearBufferuiv"](buffer,drawbuffer,HEAPU32,value>>2)}function _glClearColor(x0,x1,x2,x3){GLctx["clearColor"](x0,x1,x2,x3)}function _glClearDepthf(x0){GLctx["clearDepth"](x0)}function _glClearStencil(x0){GLctx["clearStencil"](x0)}function _glClientWaitSync(sync,flags,timeoutLo,timeoutHi){timeoutLo=timeoutLo>>>0;timeoutHi=timeoutHi>>>0;var timeout=timeoutLo==4294967295&&timeoutHi==4294967295?-1:makeBigInt(timeoutLo,timeoutHi,true);return GLctx.clientWaitSync(GL.syncs[sync],flags,timeout)}function _glColorMask(red,green,blue,alpha){GLctx.colorMask(!!red,!!green,!!blue,!!alpha)}function _glCompileShader(shader){GLctx.compileShader(GL.shaders[shader])}function _glCompressedTexImage2D(target,level,internalFormat,width,height,border,imageSize,data){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx["compressedTexImage2D"](target,level,internalFormat,width,height,border,HEAPU8,data,imageSize);return}GLctx["compressedTexImage2D"](target,level,internalFormat,width,height,border,data?HEAPU8.subarray(data,data+imageSize):null)}function _glCompressedTexImage3D(target,level,internalFormat,width,height,depth,border,imageSize,data){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx["compressedTexImage3D"](target,level,internalFormat,width,height,depth,border,HEAPU8,data,imageSize)}else{GLctx["compressedTexImage3D"](target,level,internalFormat,width,height,depth,border,data?HEAPU8.subarray(data,data+imageSize):null)}}function _glCompressedTexSubImage2D(target,level,xoffset,yoffset,width,height,format,imageSize,data){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx["compressedTexSubImage2D"](target,level,xoffset,yoffset,width,height,format,HEAPU8,data,imageSize);return}GLctx["compressedTexSubImage2D"](target,level,xoffset,yoffset,width,height,format,data?HEAPU8.subarray(data,data+imageSize):null)}function _glCompressedTexSubImage3D(target,level,xoffset,yoffset,zoffset,width,height,depth,format,imageSize,data){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx["compressedTexSubImage3D"](target,level,xoffset,yoffset,zoffset,width,height,depth,format,HEAPU8,data,imageSize)}else{GLctx["compressedTexSubImage3D"](target,level,xoffset,yoffset,zoffset,width,height,depth,format,data?HEAPU8.subarray(data,data+imageSize):null)}}function _glCopyBufferSubData(x0,x1,x2,x3,x4){GLctx["copyBufferSubData"](x0,x1,x2,x3,x4)}function _glCopyTexImage2D(x0,x1,x2,x3,x4,x5,x6,x7){GLctx["copyTexImage2D"](x0,x1,x2,x3,x4,x5,x6,x7)}function _glCopyTexSubImage2D(x0,x1,x2,x3,x4,x5,x6,x7){GLctx["copyTexSubImage2D"](x0,x1,x2,x3,x4,x5,x6,x7)}function _glCreateProgram(){var id=GL.getNewId(GL.programs);var program=GLctx.createProgram();program.name=id;GL.programs[id]=program;return id}function _glCreateShader(shaderType){var id=GL.getNewId(GL.shaders);GL.shaders[id]=GLctx.createShader(shaderType);return id}function _glCullFace(x0){GLctx["cullFace"](x0)}function _glDeleteBuffers(n,buffers){for(var i=0;i<n;i++){var id=HEAP32[buffers+i*4>>2];var buffer=GL.buffers[id];if(!buffer)continue;GLctx.deleteBuffer(buffer);buffer.name=0;GL.buffers[id]=null;if(id==GL.currArrayBuffer)GL.currArrayBuffer=0;if(id==GL.currElementArrayBuffer)GL.currElementArrayBuffer=0}}function _glDeleteFramebuffers(n,framebuffers){for(var i=0;i<n;++i){var id=HEAP32[framebuffers+i*4>>2];var framebuffer=GL.framebuffers[id];if(!framebuffer)continue;GLctx.deleteFramebuffer(framebuffer);framebuffer.name=0;GL.framebuffers[id]=null}}function _glDeleteProgram(id){if(!id)return;var program=GL.programs[id];if(!program){GL.recordError(1281);return}GLctx.deleteProgram(program);program.name=0;GL.programs[id]=null;GL.programInfos[id]=null}function _glDeleteQueries(n,ids){for(var i=0;i<n;i++){var id=HEAP32[ids+i*4>>2];var query=GL.queries[id];if(!query)continue;GLctx["deleteQuery"](query);GL.queries[id]=null}}function _glDeleteRenderbuffers(n,renderbuffers){for(var i=0;i<n;i++){var id=HEAP32[renderbuffers+i*4>>2];var renderbuffer=GL.renderbuffers[id];if(!renderbuffer)continue;GLctx.deleteRenderbuffer(renderbuffer);renderbuffer.name=0;GL.renderbuffers[id]=null}}function _glDeleteSamplers(n,samplers){for(var i=0;i<n;i++){var id=HEAP32[samplers+i*4>>2];var sampler=GL.samplers[id];if(!sampler)continue;GLctx["deleteSampler"](sampler);sampler.name=0;GL.samplers[id]=null}}function _glDeleteShader(id){if(!id)return;var shader=GL.shaders[id];if(!shader){GL.recordError(1281);return}GLctx.deleteShader(shader);GL.shaders[id]=null}function _glDeleteSync(id){if(!id)return;var sync=GL.syncs[id];if(!sync){GL.recordError(1281);return}GLctx.deleteSync(sync);sync.name=0;GL.syncs[id]=null}function _glDeleteTextures(n,textures){for(var i=0;i<n;i++){var id=HEAP32[textures+i*4>>2];var texture=GL.textures[id];if(!texture)continue;GLctx.deleteTexture(texture);texture.name=0;GL.textures[id]=null}}function _glDeleteTransformFeedbacks(n,ids){for(var i=0;i<n;i++){var id=HEAP32[ids+i*4>>2];var transformFeedback=GL.transformFeedbacks[id];if(!transformFeedback)continue;GLctx["deleteTransformFeedback"](transformFeedback);transformFeedback.name=0;GL.transformFeedbacks[id]=null}}function _glDeleteVertexArrays(n,vaos){for(var i=0;i<n;i++){var id=HEAP32[vaos+i*4>>2];GLctx["deleteVertexArray"](GL.vaos[id]);GL.vaos[id]=null}}function _glDepthFunc(x0){GLctx["depthFunc"](x0)}function _glDepthMask(flag){GLctx.depthMask(!!flag)}function _glDetachShader(program,shader){GLctx.detachShader(GL.programs[program],GL.shaders[shader])}function _glDisable(x0){GLctx["disable"](x0)}function _glDisableVertexAttribArray(index){GLctx.disableVertexAttribArray(index)}function _glDrawArrays(mode,first,count){GLctx.drawArrays(mode,first,count)}function _glDrawArraysInstanced(mode,first,count,primcount){GLctx["drawArraysInstanced"](mode,first,count,primcount)}function _glDrawBuffers(n,bufs){var bufArray=GL.tempFixedLengthArray[n];for(var i=0;i<n;i++){bufArray[i]=HEAP32[bufs+i*4>>2]}GLctx["drawBuffers"](bufArray)}function _glDrawElements(mode,count,type,indices){GLctx.drawElements(mode,count,type,indices)}function _glDrawElementsInstanced(mode,count,type,indices,primcount){GLctx["drawElementsInstanced"](mode,count,type,indices,primcount)}function _glEnable(x0){GLctx["enable"](x0)}function _glEnableVertexAttribArray(index){GLctx.enableVertexAttribArray(index)}function _glEndQuery(x0){GLctx["endQuery"](x0)}function _glEndTransformFeedback(){GLctx["endTransformFeedback"]()}function _glFenceSync(condition,flags){var sync=GLctx.fenceSync(condition,flags);if(sync){var id=GL.getNewId(GL.syncs);sync.name=id;GL.syncs[id]=sync;return id}else{return 0}}function _glFinish(){GLctx["finish"]()}function _glFlush(){GLctx["flush"]()}function emscriptenWebGLGetBufferBinding(target){switch(target){case 34962:target=34964;break;case 34963:target=34965;break;case 35051:target=35053;break;case 35052:target=35055;break;case 35982:target=35983;break;case 36662:target=36662;break;case 36663:target=36663;break;case 35345:target=35368;break}var buffer=GLctx.getParameter(target);if(buffer)return buffer.name|0;else return 0}function emscriptenWebGLValidateMapBufferTarget(target){switch(target){case 34962:case 34963:case 36662:case 36663:case 35051:case 35052:case 35882:case 35982:case 35345:return true;default:return false}}function _glFlushMappedBufferRange(target,offset,length){if(!emscriptenWebGLValidateMapBufferTarget(target)){GL.recordError(1280);err("GL_INVALID_ENUM in glFlushMappedBufferRange");return}var mapping=GL.mappedBuffers[emscriptenWebGLGetBufferBinding(target)];if(!mapping){GL.recordError(1282);Module.printError("buffer was never mapped in glFlushMappedBufferRange");return}if(!(mapping.access&16)){GL.recordError(1282);Module.printError("buffer was not mapped with GL_MAP_FLUSH_EXPLICIT_BIT in glFlushMappedBufferRange");return}if(offset<0||length<0||offset+length>mapping.length){GL.recordError(1281);Module.printError("invalid range in glFlushMappedBufferRange");return}GLctx.bufferSubData(target,mapping.offset,HEAPU8.subarray(mapping.mem+offset,mapping.mem+offset+length))}function _glFramebufferRenderbuffer(target,attachment,renderbuffertarget,renderbuffer){GLctx.framebufferRenderbuffer(target,attachment,renderbuffertarget,GL.renderbuffers[renderbuffer])}function _glFramebufferTexture2D(target,attachment,textarget,texture,level){GLctx.framebufferTexture2D(target,attachment,textarget,GL.textures[texture],level)}function _glFramebufferTextureLayer(target,attachment,texture,level,layer){GLctx.framebufferTextureLayer(target,attachment,GL.textures[texture],level,layer)}function _glFrontFace(x0){GLctx["frontFace"](x0)}function _glGenBuffers(n,buffers){for(var i=0;i<n;i++){var buffer=GLctx.createBuffer();if(!buffer){GL.recordError(1282);while(i<n)HEAP32[buffers+i++*4>>2]=0;return}var id=GL.getNewId(GL.buffers);buffer.name=id;GL.buffers[id]=buffer;HEAP32[buffers+i*4>>2]=id}}function _glGenFramebuffers(n,ids){for(var i=0;i<n;++i){var framebuffer=GLctx.createFramebuffer();if(!framebuffer){GL.recordError(1282);while(i<n)HEAP32[ids+i++*4>>2]=0;return}var id=GL.getNewId(GL.framebuffers);framebuffer.name=id;GL.framebuffers[id]=framebuffer;HEAP32[ids+i*4>>2]=id}}function _glGenQueries(n,ids){for(var i=0;i<n;i++){var query=GLctx["createQuery"]();if(!query){GL.recordError(1282);while(i<n)HEAP32[ids+i++*4>>2]=0;return}var id=GL.getNewId(GL.queries);query.name=id;GL.queries[id]=query;HEAP32[ids+i*4>>2]=id}}function _glGenRenderbuffers(n,renderbuffers){for(var i=0;i<n;i++){var renderbuffer=GLctx.createRenderbuffer();if(!renderbuffer){GL.recordError(1282);while(i<n)HEAP32[renderbuffers+i++*4>>2]=0;return}var id=GL.getNewId(GL.renderbuffers);renderbuffer.name=id;GL.renderbuffers[id]=renderbuffer;HEAP32[renderbuffers+i*4>>2]=id}}function _glGenSamplers(n,samplers){for(var i=0;i<n;i++){var sampler=GLctx["createSampler"]();if(!sampler){GL.recordError(1282);while(i<n)HEAP32[samplers+i++*4>>2]=0;return}var id=GL.getNewId(GL.samplers);sampler.name=id;GL.samplers[id]=sampler;HEAP32[samplers+i*4>>2]=id}}function _glGenTextures(n,textures){for(var i=0;i<n;i++){var texture=GLctx.createTexture();if(!texture){GL.recordError(1282);while(i<n)HEAP32[textures+i++*4>>2]=0;return}var id=GL.getNewId(GL.textures);texture.name=id;GL.textures[id]=texture;HEAP32[textures+i*4>>2]=id}}function _glGenTransformFeedbacks(n,ids){for(var i=0;i<n;i++){var transformFeedback=GLctx["createTransformFeedback"]();if(!transformFeedback){GL.recordError(1282);while(i<n)HEAP32[ids+i++*4>>2]=0;return}var id=GL.getNewId(GL.transformFeedbacks);transformFeedback.name=id;GL.transformFeedbacks[id]=transformFeedback;HEAP32[ids+i*4>>2]=id}}function _glGenVertexArrays(n,arrays){for(var i=0;i<n;i++){var vao=GLctx["createVertexArray"]();if(!vao){GL.recordError(1282);while(i<n)HEAP32[arrays+i++*4>>2]=0;return}var id=GL.getNewId(GL.vaos);vao.name=id;GL.vaos[id]=vao;HEAP32[arrays+i*4>>2]=id}}function _glGenerateMipmap(x0){GLctx["generateMipmap"](x0)}function _glGetActiveAttrib(program,index,bufSize,length,size,type,name){program=GL.programs[program];var info=GLctx.getActiveAttrib(program,index);if(!info)return;if(bufSize>0&&name){var numBytesWrittenExclNull=stringToUTF8(info.name,name,bufSize);if(length)HEAP32[length>>2]=numBytesWrittenExclNull}else{if(length)HEAP32[length>>2]=0}if(size)HEAP32[size>>2]=info.size;if(type)HEAP32[type>>2]=info.type}function _glGetActiveUniform(program,index,bufSize,length,size,type,name){program=GL.programs[program];var info=GLctx.getActiveUniform(program,index);if(!info)return;if(bufSize>0&&name){var numBytesWrittenExclNull=stringToUTF8(info.name,name,bufSize);if(length)HEAP32[length>>2]=numBytesWrittenExclNull}else{if(length)HEAP32[length>>2]=0}if(size)HEAP32[size>>2]=info.size;if(type)HEAP32[type>>2]=info.type}function _glGetActiveUniformBlockName(program,uniformBlockIndex,bufSize,length,uniformBlockName){program=GL.programs[program];var result=GLctx["getActiveUniformBlockName"](program,uniformBlockIndex);if(!result)return;if(uniformBlockName&&bufSize>0){var numBytesWrittenExclNull=stringToUTF8(result,uniformBlockName,bufSize);if(length)HEAP32[length>>2]=numBytesWrittenExclNull}else{if(length)HEAP32[length>>2]=0}}function _glGetActiveUniformBlockiv(program,uniformBlockIndex,pname,params){if(!params){GL.recordError(1281);return}program=GL.programs[program];switch(pname){case 35393:var name=GLctx["getActiveUniformBlockName"](program,uniformBlockIndex);HEAP32[params>>2]=name.length+1;return;default:var result=GLctx["getActiveUniformBlockParameter"](program,uniformBlockIndex,pname);if(!result)return;if(typeof result=="number"){HEAP32[params>>2]=result}else{for(var i=0;i<result.length;i++){HEAP32[params+i*4>>2]=result[i]}}}}function _glGetActiveUniformsiv(program,uniformCount,uniformIndices,pname,params){if(!params){GL.recordError(1281);return}if(uniformCount>0&&uniformIndices==0){GL.recordError(1281);return}program=GL.programs[program];var ids=[];for(var i=0;i<uniformCount;i++){ids.push(HEAP32[uniformIndices+i*4>>2])}var result=GLctx["getActiveUniforms"](program,ids,pname);if(!result)return;var len=result.length;for(var i=0;i<len;i++){HEAP32[params+i*4>>2]=result[i]}}function _glGetAttribLocation(program,name){return GLctx.getAttribLocation(GL.programs[program],Pointer_stringify(name))}function _glGetError(){if(GL.lastError){var error=GL.lastError;GL.lastError=0;return error}else{return GLctx.getError()}}function _glGetFramebufferAttachmentParameteriv(target,attachment,pname,params){var result=GLctx.getFramebufferAttachmentParameter(target,attachment,pname);if(result instanceof WebGLRenderbuffer||result instanceof WebGLTexture){result=result.name|0}HEAP32[params>>2]=result}function emscriptenWebGLGetIndexed(target,index,data,type){if(!data){GL.recordError(1281);return}var result=GLctx["getIndexedParameter"](target,index);var ret;switch(typeof result){case"boolean":ret=result?1:0;break;case"number":ret=result;break;case"object":if(result===null){switch(target){case 35983:case 35368:ret=0;break;default:{GL.recordError(1280);return}}}else if(result instanceof WebGLBuffer){ret=result.name|0}else{GL.recordError(1280);return}break;default:GL.recordError(1280);return}switch(type){case"Integer64":tempI64=[ret>>>0,(tempDouble=ret,+Math_abs(tempDouble)>=1?tempDouble>0?(Math_min(+Math_floor(tempDouble/4294967296),4294967295)|0)>>>0:~~+Math_ceil((tempDouble- +(~~tempDouble>>>0))/4294967296)>>>0:0)],HEAP32[data>>2]=tempI64[0],HEAP32[data+4>>2]=tempI64[1];break;case"Integer":HEAP32[data>>2]=ret;break;case"Float":HEAPF32[data>>2]=ret;break;case"Boolean":HEAP8[data>>0]=ret?1:0;break;default:throw"internal emscriptenWebGLGetIndexed() error, bad type: "+type}}function _glGetIntegeri_v(target,index,data){emscriptenWebGLGetIndexed(target,index,data,"Integer")}function emscriptenWebGLGet(name_,p,type){if(!p){GL.recordError(1281);return}var ret=undefined;switch(name_){case 36346:ret=1;break;case 36344:if(type!=="Integer"&&type!=="Integer64"){GL.recordError(1280)}return;case 34814:case 36345:ret=0;break;case 34466:var formats=GLctx.getParameter(34467);ret=formats.length;break;case 33309:if(GLctx.canvas.GLctxObject.version<2){GL.recordError(1282);return}var exts=GLctx.getSupportedExtensions();ret=2*exts.length;break;case 33307:case 33308:if(GLctx.canvas.GLctxObject.version<2){GL.recordError(1280);return}ret=name_==33307?3:0;break}if(ret===undefined){var result=GLctx.getParameter(name_);switch(typeof result){case"number":ret=result;break;case"boolean":ret=result?1:0;break;case"string":GL.recordError(1280);return;case"object":if(result===null){switch(name_){case 34964:case 35725:case 34965:case 36006:case 36007:case 32873:case 34229:case 35097:case 36389:case 34068:{ret=0;break};default:{GL.recordError(1280);return}}}else if(result instanceof Float32Array||result instanceof Uint32Array||result instanceof Int32Array||result instanceof Array){for(var i=0;i<result.length;++i){switch(type){case"Integer":HEAP32[p+i*4>>2]=result[i];break;case"Float":HEAPF32[p+i*4>>2]=result[i];break;case"Boolean":HEAP8[p+i>>0]=result[i]?1:0;break;default:throw"internal glGet error, bad type: "+type}}return}else if(result instanceof WebGLBuffer||result instanceof WebGLProgram||result instanceof WebGLFramebuffer||result instanceof WebGLRenderbuffer||result instanceof WebGLQuery||result instanceof WebGLSampler||result instanceof WebGLSync||result instanceof WebGLTransformFeedback||result instanceof WebGLVertexArrayObject||result instanceof WebGLTexture){ret=result.name|0}else{GL.recordError(1280);return}break;default:GL.recordError(1280);return}}switch(type){case"Integer64":tempI64=[ret>>>0,(tempDouble=ret,+Math_abs(tempDouble)>=1?tempDouble>0?(Math_min(+Math_floor(tempDouble/4294967296),4294967295)|0)>>>0:~~+Math_ceil((tempDouble- +(~~tempDouble>>>0))/4294967296)>>>0:0)],HEAP32[p>>2]=tempI64[0],HEAP32[p+4>>2]=tempI64[1];break;case"Integer":HEAP32[p>>2]=ret;break;case"Float":HEAPF32[p>>2]=ret;break;case"Boolean":HEAP8[p>>0]=ret?1:0;break;default:throw"internal glGet error, bad type: "+type}}function _glGetIntegerv(name_,p){emscriptenWebGLGet(name_,p,"Integer")}function _glGetInternalformativ(target,internalformat,pname,bufSize,params){if(bufSize<0){GL.recordError(1281);return}var samples=GLctx["getInternalformatParameter"](target,internalformat,32937);if(!samples){GL.recordError(1280);return}switch(pname){case 32937:var n=Math.min(bufSize,samples.length);for(var i=0;i<n;i++){var v=samples[i];HEAP32[params+i*4>>2]=v}break;case 37760:if(bufSize>1){var v=samples.length;HEAP32[params>>2]=v}break;default:GL.recordError(1280)}}function _glGetProgramBinary(program,bufSize,length,binaryFormat,binary){GL.recordError(1282)}function _glGetProgramInfoLog(program,maxLength,length,infoLog){var log=GLctx.getProgramInfoLog(GL.programs[program]);if(log===null)log="(unknown error)";if(maxLength>0&&infoLog){var numBytesWrittenExclNull=stringToUTF8(log,infoLog,maxLength);if(length)HEAP32[length>>2]=numBytesWrittenExclNull}else{if(length)HEAP32[length>>2]=0}}function _glGetProgramiv(program,pname,p){if(!p){GL.recordError(1281);return}if(program>=GL.counter){GL.recordError(1281);return}var ptable=GL.programInfos[program];if(!ptable){GL.recordError(1282);return}if(pname==35716){var log=GLctx.getProgramInfoLog(GL.programs[program]);if(log===null)log="(unknown error)";HEAP32[p>>2]=log.length+1}else if(pname==35719){HEAP32[p>>2]=ptable.maxUniformLength}else if(pname==35722){if(ptable.maxAttributeLength==-1){program=GL.programs[program];var numAttribs=GLctx.getProgramParameter(program,GLctx.ACTIVE_ATTRIBUTES);ptable.maxAttributeLength=0;for(var i=0;i<numAttribs;++i){var activeAttrib=GLctx.getActiveAttrib(program,i);ptable.maxAttributeLength=Math.max(ptable.maxAttributeLength,activeAttrib.name.length+1)}}HEAP32[p>>2]=ptable.maxAttributeLength}else if(pname==35381){if(ptable.maxUniformBlockNameLength==-1){program=GL.programs[program];var numBlocks=GLctx.getProgramParameter(program,GLctx.ACTIVE_UNIFORM_BLOCKS);ptable.maxUniformBlockNameLength=0;for(var i=0;i<numBlocks;++i){var activeBlockName=GLctx.getActiveUniformBlockName(program,i);ptable.maxUniformBlockNameLength=Math.max(ptable.maxUniformBlockNameLength,activeBlockName.length+1)}}HEAP32[p>>2]=ptable.maxUniformBlockNameLength}else{HEAP32[p>>2]=GLctx.getProgramParameter(GL.programs[program],pname)}}function _glGetRenderbufferParameteriv(target,pname,params){if(!params){GL.recordError(1281);return}HEAP32[params>>2]=GLctx.getRenderbufferParameter(target,pname)}function _glGetShaderInfoLog(shader,maxLength,length,infoLog){var log=GLctx.getShaderInfoLog(GL.shaders[shader]);if(log===null)log="(unknown error)";if(maxLength>0&&infoLog){var numBytesWrittenExclNull=stringToUTF8(log,infoLog,maxLength);if(length)HEAP32[length>>2]=numBytesWrittenExclNull}else{if(length)HEAP32[length>>2]=0}}function _glGetShaderPrecisionFormat(shaderType,precisionType,range,precision){var result=GLctx.getShaderPrecisionFormat(shaderType,precisionType);HEAP32[range>>2]=result.rangeMin;HEAP32[range+4>>2]=result.rangeMax;HEAP32[precision>>2]=result.precision}function _glGetShaderSource(shader,bufSize,length,source){var result=GLctx.getShaderSource(GL.shaders[shader]);if(!result)return;if(bufSize>0&&source){var numBytesWrittenExclNull=stringToUTF8(result,source,bufSize);if(length)HEAP32[length>>2]=numBytesWrittenExclNull}else{if(length)HEAP32[length>>2]=0}}function _glGetShaderiv(shader,pname,p){if(!p){GL.recordError(1281);return}if(pname==35716){var log=GLctx.getShaderInfoLog(GL.shaders[shader]);if(log===null)log="(unknown error)";HEAP32[p>>2]=log.length+1}else if(pname==35720){var source=GLctx.getShaderSource(GL.shaders[shader]);var sourceLength=source===null||source.length==0?0:source.length+1;HEAP32[p>>2]=sourceLength}else{HEAP32[p>>2]=GLctx.getShaderParameter(GL.shaders[shader],pname)}}function _glGetString(name_){if(GL.stringCache[name_])return GL.stringCache[name_];var ret;switch(name_){case 7936:case 7937:case 37445:case 37446:ret=allocate(intArrayFromString(GLctx.getParameter(name_)),"i8",ALLOC_NORMAL);break;case 7938:var glVersion=GLctx.getParameter(GLctx.VERSION);if(GLctx.canvas.GLctxObject.version>=2)glVersion="OpenGL ES 3.0 ("+glVersion+")";else{glVersion="OpenGL ES 2.0 ("+glVersion+")"}ret=allocate(intArrayFromString(glVersion),"i8",ALLOC_NORMAL);break;case 7939:var exts=GLctx.getSupportedExtensions();var gl_exts=[];for(var i=0;i<exts.length;++i){gl_exts.push(exts[i]);gl_exts.push("GL_"+exts[i])}ret=allocate(intArrayFromString(gl_exts.join(" ")),"i8",ALLOC_NORMAL);break;case 35724:var glslVersion=GLctx.getParameter(GLctx.SHADING_LANGUAGE_VERSION);var ver_re=/^WebGL GLSL ES ([0-9]\.[0-9][0-9]?)(?:$| .*)/;var ver_num=glslVersion.match(ver_re);if(ver_num!==null){if(ver_num[1].length==3)ver_num[1]=ver_num[1]+"0";glslVersion="OpenGL ES GLSL ES "+ver_num[1]+" ("+glslVersion+")"}ret=allocate(intArrayFromString(glslVersion),"i8",ALLOC_NORMAL);break;default:GL.recordError(1280);return 0}GL.stringCache[name_]=ret;return ret}function _glGetStringi(name,index){if(GLctx.canvas.GLctxObject.version<2){GL.recordError(1282);return 0}var stringiCache=GL.stringiCache[name];if(stringiCache){if(index<0||index>=stringiCache.length){GL.recordError(1281);return 0}return stringiCache[index]}switch(name){case 7939:var exts=GLctx.getSupportedExtensions();var gl_exts=[];for(var i=0;i<exts.length;++i){gl_exts.push(allocate(intArrayFromString(exts[i]),"i8",ALLOC_NORMAL));gl_exts.push(allocate(intArrayFromString("GL_"+exts[i]),"i8",ALLOC_NORMAL))}stringiCache=GL.stringiCache[name]=gl_exts;if(index<0||index>=stringiCache.length){GL.recordError(1281);return 0}return stringiCache[index];default:GL.recordError(1280);return 0}}function _glGetTexParameteriv(target,pname,params){if(!params){GL.recordError(1281);return}HEAP32[params>>2]=GLctx.getTexParameter(target,pname)}function _glGetUniformBlockIndex(program,uniformBlockName){program=GL.programs[program];uniformBlockName=Pointer_stringify(uniformBlockName);return GLctx["getUniformBlockIndex"](program,uniformBlockName)}function _glGetUniformIndices(program,uniformCount,uniformNames,uniformIndices){if(!uniformIndices){GL.recordError(1281);return}if(uniformCount>0&&(uniformNames==0||uniformIndices==0)){GL.recordError(1281);return}program=GL.programs[program];var names=[];for(var i=0;i<uniformCount;i++)names.push(Pointer_stringify(HEAP32[uniformNames+i*4>>2]));var result=GLctx["getUniformIndices"](program,names);if(!result)return;var len=result.length;for(var i=0;i<len;i++){HEAP32[uniformIndices+i*4>>2]=result[i]}}function _glGetUniformLocation(program,name){name=Pointer_stringify(name);var arrayOffset=0;if(name.indexOf("]",name.length-1)!==-1){var ls=name.lastIndexOf("[");var arrayIndex=name.slice(ls+1,-1);if(arrayIndex.length>0){arrayOffset=parseInt(arrayIndex);if(arrayOffset<0){return-1}}name=name.slice(0,ls)}var ptable=GL.programInfos[program];if(!ptable){return-1}var utable=ptable.uniforms;var uniformInfo=utable[name];if(uniformInfo&&arrayOffset<uniformInfo[0]){return uniformInfo[1]+arrayOffset}else{return-1}}function emscriptenWebGLGetUniform(program,location,params,type){if(!params){GL.recordError(1281);return}var data=GLctx.getUniform(GL.programs[program],GL.uniforms[location]);if(typeof data=="number"||typeof data=="boolean"){switch(type){case"Integer":HEAP32[params>>2]=data;break;case"Float":HEAPF32[params>>2]=data;break;default:throw"internal emscriptenWebGLGetUniform() error, bad type: "+type}}else{for(var i=0;i<data.length;i++){switch(type){case"Integer":HEAP32[params+i*4>>2]=data[i];break;case"Float":HEAPF32[params+i*4>>2]=data[i];break;default:throw"internal emscriptenWebGLGetUniform() error, bad type: "+type}}}}function _glGetUniformiv(program,location,params){emscriptenWebGLGetUniform(program,location,params,"Integer")}function emscriptenWebGLGetVertexAttrib(index,pname,params,type){if(!params){GL.recordError(1281);return}var data=GLctx.getVertexAttrib(index,pname);if(pname==34975){HEAP32[params>>2]=data["name"]}else if(typeof data=="number"||typeof data=="boolean"){switch(type){case"Integer":HEAP32[params>>2]=data;break;case"Float":HEAPF32[params>>2]=data;break;case"FloatToInteger":HEAP32[params>>2]=Math.fround(data);break;default:throw"internal emscriptenWebGLGetVertexAttrib() error, bad type: "+type}}else{for(var i=0;i<data.length;i++){switch(type){case"Integer":HEAP32[params+i*4>>2]=data[i];break;case"Float":HEAPF32[params+i*4>>2]=data[i];break;case"FloatToInteger":HEAP32[params+i*4>>2]=Math.fround(data[i]);break;default:throw"internal emscriptenWebGLGetVertexAttrib() error, bad type: "+type}}}}function _glGetVertexAttribiv(index,pname,params){emscriptenWebGLGetVertexAttrib(index,pname,params,"FloatToInteger")}function _glInvalidateFramebuffer(target,numAttachments,attachments){var list=GL.tempFixedLengthArray[numAttachments];for(var i=0;i<numAttachments;i++){list[i]=HEAP32[attachments+i*4>>2]}GLctx["invalidateFramebuffer"](target,list)}function _glIsEnabled(x0){return GLctx["isEnabled"](x0)}function _glIsVertexArray(array){var vao=GL.vaos[array];if(!vao)return 0;return GLctx["isVertexArray"](vao)}function _glLinkProgram(program){GLctx.linkProgram(GL.programs[program]);GL.programInfos[program]=null;GL.populateUniformTable(program)}function _glMapBufferRange(target,offset,length,access){if(access!=26&&access!=10){err("glMapBufferRange is only supported when access is MAP_WRITE|INVALIDATE_BUFFER");return 0}if(!emscriptenWebGLValidateMapBufferTarget(target)){GL.recordError(1280);err("GL_INVALID_ENUM in glMapBufferRange");return 0}var mem=_malloc(length);if(!mem)return 0;GL.mappedBuffers[emscriptenWebGLGetBufferBinding(target)]={offset:offset,length:length,mem:mem,access:access};return mem}function _glPixelStorei(pname,param){if(pname==3333){GL.packAlignment=param}else if(pname==3317){GL.unpackAlignment=param}GLctx.pixelStorei(pname,param)}function _glPolygonOffset(x0,x1){GLctx["polygonOffset"](x0,x1)}function _glProgramBinary(program,binaryFormat,binary,length){GL.recordError(1280)}function _glProgramParameteri(program,pname,value){GL.recordError(1280)}function _glReadBuffer(x0){GLctx["readBuffer"](x0)}function emscriptenWebGLComputeImageSize(width,height,sizePerPixel,alignment){function roundedToNextMultipleOf(x,y){return Math.floor((x+y-1)/y)*y}var plainRowSize=width*sizePerPixel;var alignedRowSize=roundedToNextMultipleOf(plainRowSize,alignment);return height<=0?0:(height-1)*alignedRowSize+plainRowSize}function emscriptenWebGLGetTexPixelData(type,format,width,height,pixels,internalFormat){var sizePerPixel;var numChannels;switch(format){case 6406:case 6409:case 6402:case 6403:case 36244:numChannels=1;break;case 6410:case 33319:case 33320:numChannels=2;break;case 6407:case 35904:case 36248:numChannels=3;break;case 6408:case 35906:case 36249:numChannels=4;break;default:GL.recordError(1280);return null}switch(type){case 5121:case 5120:sizePerPixel=numChannels*1;break;case 5123:case 36193:case 5131:case 5122:sizePerPixel=numChannels*2;break;case 5125:case 5126:case 5124:sizePerPixel=numChannels*4;break;case 34042:case 35902:case 33640:case 35899:case 34042:sizePerPixel=4;break;case 33635:case 32819:case 32820:sizePerPixel=2;break;default:GL.recordError(1280);return null}var bytes=emscriptenWebGLComputeImageSize(width,height,sizePerPixel,GL.unpackAlignment);switch(type){case 5120:return HEAP8.subarray(pixels,pixels+bytes);case 5121:return HEAPU8.subarray(pixels,pixels+bytes);case 5122:return HEAP16.subarray(pixels>>1,pixels+bytes>>1);case 5124:return HEAP32.subarray(pixels>>2,pixels+bytes>>2);case 5126:return HEAPF32.subarray(pixels>>2,pixels+bytes>>2);case 5125:case 34042:case 35902:case 33640:case 35899:case 34042:return HEAPU32.subarray(pixels>>2,pixels+bytes>>2);case 5123:case 33635:case 32819:case 32820:case 36193:case 5131:return HEAPU16.subarray(pixels>>1,pixels+bytes>>1);default:GL.recordError(1280);return null}}function emscriptenWebGLGetHeapForType(type){switch(type){case 5120:return HEAP8;case 5121:return HEAPU8;case 5122:return HEAP16;case 5123:case 33635:case 32819:case 32820:case 36193:case 5131:return HEAPU16;case 5124:return HEAP32;case 5125:case 34042:case 35902:case 33640:case 35899:case 34042:return HEAPU32;case 5126:return HEAPF32;default:return null}}function emscriptenWebGLGetShiftForType(type){switch(type){case 5120:case 5121:return 0;case 5122:case 5123:case 33635:case 32819:case 32820:case 36193:case 5131:return 1;case 5124:case 5126:case 5125:case 34042:case 35902:case 33640:case 35899:case 34042:return 2;default:return 0}}function _glReadPixels(x,y,width,height,format,type,pixels){if(GL.currentContext.supportsWebGL2EntryPoints){if(GLctx.currentPixelPackBufferBinding){GLctx.readPixels(x,y,width,height,format,type,pixels)}else{GLctx.readPixels(x,y,width,height,format,type,emscriptenWebGLGetHeapForType(type),pixels>>emscriptenWebGLGetShiftForType(type))}return}var pixelData=emscriptenWebGLGetTexPixelData(type,format,width,height,pixels,format);if(!pixelData){GL.recordError(1280);return}GLctx.readPixels(x,y,width,height,format,type,pixelData)}function _glRenderbufferStorage(x0,x1,x2,x3){GLctx["renderbufferStorage"](x0,x1,x2,x3)}function _glRenderbufferStorageMultisample(x0,x1,x2,x3,x4){GLctx["renderbufferStorageMultisample"](x0,x1,x2,x3,x4)}function _glSamplerParameteri(sampler,pname,param){GLctx["samplerParameteri"](sampler?GL.samplers[sampler]:null,pname,param)}function _glScissor(x0,x1,x2,x3){GLctx["scissor"](x0,x1,x2,x3)}function _glShaderSource(shader,count,string,length){var source=GL.getSource(shader,count,string,length);GLctx.shaderSource(GL.shaders[shader],source)}function _glStencilFuncSeparate(x0,x1,x2,x3){GLctx["stencilFuncSeparate"](x0,x1,x2,x3)}function _glStencilMask(x0){GLctx["stencilMask"](x0)}function _glStencilOpSeparate(x0,x1,x2,x3){GLctx["stencilOpSeparate"](x0,x1,x2,x3)}function _glTexImage2D(target,level,internalFormat,width,height,border,format,type,pixels){if(GL.currentContext.supportsWebGL2EntryPoints){if(GLctx.currentPixelUnpackBufferBinding){GLctx.texImage2D(target,level,internalFormat,width,height,border,format,type,pixels)}else if(pixels!=0){GLctx.texImage2D(target,level,internalFormat,width,height,border,format,type,emscriptenWebGLGetHeapForType(type),pixels>>emscriptenWebGLGetShiftForType(type))}else{GLctx.texImage2D(target,level,internalFormat,width,height,border,format,type,null)}return}var pixelData=null;if(pixels)pixelData=emscriptenWebGLGetTexPixelData(type,format,width,height,pixels,internalFormat);GLctx.texImage2D(target,level,internalFormat,width,height,border,format,type,pixelData)}function _glTexImage3D(target,level,internalFormat,width,height,depth,border,format,type,pixels){if(GLctx.currentPixelUnpackBufferBinding){GLctx["texImage3D"](target,level,internalFormat,width,height,depth,border,format,type,pixels)}else if(pixels!=0){GLctx["texImage3D"](target,level,internalFormat,width,height,depth,border,format,type,emscriptenWebGLGetHeapForType(type),pixels>>emscriptenWebGLGetShiftForType(type))}else{GLctx["texImage3D"](target,level,internalFormat,width,height,depth,border,format,type,null)}}function _glTexParameterf(x0,x1,x2){GLctx["texParameterf"](x0,x1,x2)}function _glTexParameteri(x0,x1,x2){GLctx["texParameteri"](x0,x1,x2)}function _glTexParameteriv(target,pname,params){var param=HEAP32[params>>2];GLctx.texParameteri(target,pname,param)}function _glTexStorage2D(x0,x1,x2,x3,x4){GLctx["texStorage2D"](x0,x1,x2,x3,x4)}function _glTexStorage3D(x0,x1,x2,x3,x4,x5){GLctx["texStorage3D"](x0,x1,x2,x3,x4,x5)}function _glTexSubImage2D(target,level,xoffset,yoffset,width,height,format,type,pixels){if(GL.currentContext.supportsWebGL2EntryPoints){if(GLctx.currentPixelUnpackBufferBinding){GLctx.texSubImage2D(target,level,xoffset,yoffset,width,height,format,type,pixels)}else if(pixels!=0){GLctx.texSubImage2D(target,level,xoffset,yoffset,width,height,format,type,emscriptenWebGLGetHeapForType(type),pixels>>emscriptenWebGLGetShiftForType(type))}else{GLctx.texSubImage2D(target,level,xoffset,yoffset,width,height,format,type,null)}return}var pixelData=null;if(pixels)pixelData=emscriptenWebGLGetTexPixelData(type,format,width,height,pixels,0);GLctx.texSubImage2D(target,level,xoffset,yoffset,width,height,format,type,pixelData)}function _glTexSubImage3D(target,level,xoffset,yoffset,zoffset,width,height,depth,format,type,pixels){if(GLctx.currentPixelUnpackBufferBinding){GLctx["texSubImage3D"](target,level,xoffset,yoffset,zoffset,width,height,depth,format,type,pixels)}else if(pixels!=0){GLctx["texSubImage3D"](target,level,xoffset,yoffset,zoffset,width,height,depth,format,type,emscriptenWebGLGetHeapForType(type),pixels>>emscriptenWebGLGetShiftForType(type))}else{GLctx["texSubImage3D"](target,level,xoffset,yoffset,zoffset,width,height,depth,format,type,null)}}function _glTransformFeedbackVaryings(program,count,varyings,bufferMode){program=GL.programs[program];var vars=[];for(var i=0;i<count;i++)vars.push(Pointer_stringify(HEAP32[varyings+i*4>>2]));GLctx["transformFeedbackVaryings"](program,vars,bufferMode)}function _glUniform1fv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform1fv(GL.uniforms[location],HEAPF32,value>>2,count);return}var view;if(count<=GL.MINI_TEMP_BUFFER_SIZE){view=GL.miniTempBufferViews[count-1];for(var i=0;i<count;++i){view[i]=HEAPF32[value+4*i>>2]}}else{view=HEAPF32.subarray(value>>2,value+count*4>>2)}GLctx.uniform1fv(GL.uniforms[location],view)}function _glUniform1i(location,v0){GLctx.uniform1i(GL.uniforms[location],v0)}function _glUniform1iv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform1iv(GL.uniforms[location],HEAP32,value>>2,count);return}GLctx.uniform1iv(GL.uniforms[location],HEAP32.subarray(value>>2,value+count*4>>2))}function _glUniform1uiv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform1uiv(GL.uniforms[location],HEAPU32,value>>2,count)}else{GLctx.uniform1uiv(GL.uniforms[location],HEAPU32.subarray(value>>2,value+count*4>>2))}}function _glUniform2fv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform2fv(GL.uniforms[location],HEAPF32,value>>2,count*2);return}var view;if(2*count<=GL.MINI_TEMP_BUFFER_SIZE){view=GL.miniTempBufferViews[2*count-1];for(var i=0;i<2*count;i+=2){view[i]=HEAPF32[value+4*i>>2];view[i+1]=HEAPF32[value+(4*i+4)>>2]}}else{view=HEAPF32.subarray(value>>2,value+count*8>>2)}GLctx.uniform2fv(GL.uniforms[location],view)}function _glUniform2iv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform2iv(GL.uniforms[location],HEAP32,value>>2,count*2);return}GLctx.uniform2iv(GL.uniforms[location],HEAP32.subarray(value>>2,value+count*8>>2))}function _glUniform2uiv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform2uiv(GL.uniforms[location],HEAPU32,value>>2,count*2)}else{GLctx.uniform2uiv(GL.uniforms[location],HEAPU32.subarray(value>>2,value+count*8>>2))}}function _glUniform3fv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform3fv(GL.uniforms[location],HEAPF32,value>>2,count*3);return}var view;if(3*count<=GL.MINI_TEMP_BUFFER_SIZE){view=GL.miniTempBufferViews[3*count-1];for(var i=0;i<3*count;i+=3){view[i]=HEAPF32[value+4*i>>2];view[i+1]=HEAPF32[value+(4*i+4)>>2];view[i+2]=HEAPF32[value+(4*i+8)>>2]}}else{view=HEAPF32.subarray(value>>2,value+count*12>>2)}GLctx.uniform3fv(GL.uniforms[location],view)}function _glUniform3iv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform3iv(GL.uniforms[location],HEAP32,value>>2,count*3);return}GLctx.uniform3iv(GL.uniforms[location],HEAP32.subarray(value>>2,value+count*12>>2))}function _glUniform3uiv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform3uiv(GL.uniforms[location],HEAPU32,value>>2,count*3)}else{GLctx.uniform3uiv(GL.uniforms[location],HEAPU32.subarray(value>>2,value+count*12>>2))}}function _glUniform4fv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform4fv(GL.uniforms[location],HEAPF32,value>>2,count*4);return}var view;if(4*count<=GL.MINI_TEMP_BUFFER_SIZE){view=GL.miniTempBufferViews[4*count-1];for(var i=0;i<4*count;i+=4){view[i]=HEAPF32[value+4*i>>2];view[i+1]=HEAPF32[value+(4*i+4)>>2];view[i+2]=HEAPF32[value+(4*i+8)>>2];view[i+3]=HEAPF32[value+(4*i+12)>>2]}}else{view=HEAPF32.subarray(value>>2,value+count*16>>2)}GLctx.uniform4fv(GL.uniforms[location],view)}function _glUniform4iv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform4iv(GL.uniforms[location],HEAP32,value>>2,count*4);return}GLctx.uniform4iv(GL.uniforms[location],HEAP32.subarray(value>>2,value+count*16>>2))}function _glUniform4uiv(location,count,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniform4uiv(GL.uniforms[location],HEAPU32,value>>2,count*4)}else{GLctx.uniform4uiv(GL.uniforms[location],HEAPU32.subarray(value>>2,value+count*16>>2))}}function _glUniformBlockBinding(program,uniformBlockIndex,uniformBlockBinding){program=GL.programs[program];GLctx["uniformBlockBinding"](program,uniformBlockIndex,uniformBlockBinding)}function _glUniformMatrix3fv(location,count,transpose,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniformMatrix3fv(GL.uniforms[location],!!transpose,HEAPF32,value>>2,count*9);return}var view;if(9*count<=GL.MINI_TEMP_BUFFER_SIZE){view=GL.miniTempBufferViews[9*count-1];for(var i=0;i<9*count;i+=9){view[i]=HEAPF32[value+4*i>>2];view[i+1]=HEAPF32[value+(4*i+4)>>2];view[i+2]=HEAPF32[value+(4*i+8)>>2];view[i+3]=HEAPF32[value+(4*i+12)>>2];view[i+4]=HEAPF32[value+(4*i+16)>>2];view[i+5]=HEAPF32[value+(4*i+20)>>2];view[i+6]=HEAPF32[value+(4*i+24)>>2];view[i+7]=HEAPF32[value+(4*i+28)>>2];view[i+8]=HEAPF32[value+(4*i+32)>>2]}}else{view=HEAPF32.subarray(value>>2,value+count*36>>2)}GLctx.uniformMatrix3fv(GL.uniforms[location],!!transpose,view)}function _glUniformMatrix4fv(location,count,transpose,value){if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.uniformMatrix4fv(GL.uniforms[location],!!transpose,HEAPF32,value>>2,count*16);return}var view;if(16*count<=GL.MINI_TEMP_BUFFER_SIZE){view=GL.miniTempBufferViews[16*count-1];for(var i=0;i<16*count;i+=16){view[i]=HEAPF32[value+4*i>>2];view[i+1]=HEAPF32[value+(4*i+4)>>2];view[i+2]=HEAPF32[value+(4*i+8)>>2];view[i+3]=HEAPF32[value+(4*i+12)>>2];view[i+4]=HEAPF32[value+(4*i+16)>>2];view[i+5]=HEAPF32[value+(4*i+20)>>2];view[i+6]=HEAPF32[value+(4*i+24)>>2];view[i+7]=HEAPF32[value+(4*i+28)>>2];view[i+8]=HEAPF32[value+(4*i+32)>>2];view[i+9]=HEAPF32[value+(4*i+36)>>2];view[i+10]=HEAPF32[value+(4*i+40)>>2];view[i+11]=HEAPF32[value+(4*i+44)>>2];view[i+12]=HEAPF32[value+(4*i+48)>>2];view[i+13]=HEAPF32[value+(4*i+52)>>2];view[i+14]=HEAPF32[value+(4*i+56)>>2];view[i+15]=HEAPF32[value+(4*i+60)>>2]}}else{view=HEAPF32.subarray(value>>2,value+count*64>>2)}GLctx.uniformMatrix4fv(GL.uniforms[location],!!transpose,view)}function _glUnmapBuffer(target){if(!emscriptenWebGLValidateMapBufferTarget(target)){GL.recordError(1280);err("GL_INVALID_ENUM in glUnmapBuffer");return 0}var buffer=emscriptenWebGLGetBufferBinding(target);var mapping=GL.mappedBuffers[buffer];if(!mapping){GL.recordError(1282);Module.printError("buffer was never mapped in glUnmapBuffer");return 0}GL.mappedBuffers[buffer]=null;if(!(mapping.access&16))if(GL.currentContext.supportsWebGL2EntryPoints){GLctx.bufferSubData(target,mapping.offset,HEAPU8,mapping.mem,mapping.length)}else{GLctx.bufferSubData(target,mapping.offset,HEAPU8.subarray(mapping.mem,mapping.mem+mapping.length))}_free(mapping.mem);return 1}function _glUseProgram(program){GLctx.useProgram(program?GL.programs[program]:null)}function _glValidateProgram(program){GLctx.validateProgram(GL.programs[program])}function _glVertexAttrib4f(x0,x1,x2,x3,x4){GLctx["vertexAttrib4f"](x0,x1,x2,x3,x4)}function _glVertexAttrib4fv(index,v){GLctx.vertexAttrib4f(index,HEAPF32[v>>2],HEAPF32[v+4>>2],HEAPF32[v+8>>2],HEAPF32[v+12>>2])}function _glVertexAttribIPointer(index,size,type,stride,ptr){var cb=GL.currentContext.clientBuffers[index];if(!GL.currArrayBuffer){cb.size=size;cb.type=type;cb.normalized=false;cb.stride=stride;cb.ptr=ptr;cb.clientside=true;return}cb.clientside=false;GLctx.vertexAttribIPointer(index,size,type,stride,ptr)}function _glVertexAttribPointer(index,size,type,normalized,stride,ptr){GLctx.vertexAttribPointer(index,size,type,!!normalized,stride,ptr)}function _glViewport(x0,x1,x2,x3){GLctx["viewport"](x0,x1,x2,x3)}var ___tm_current=STATICTOP;STATICTOP+=48;var ___tm_timezone=allocate(intArrayFromString("GMT"),"i8",ALLOC_STATIC);function _gmtime_r(time,tmPtr){var date=new Date(HEAP32[time>>2]*1e3);HEAP32[tmPtr>>2]=date.getUTCSeconds();HEAP32[tmPtr+4>>2]=date.getUTCMinutes();HEAP32[tmPtr+8>>2]=date.getUTCHours();HEAP32[tmPtr+12>>2]=date.getUTCDate();HEAP32[tmPtr+16>>2]=date.getUTCMonth();HEAP32[tmPtr+20>>2]=date.getUTCFullYear()-1900;HEAP32[tmPtr+24>>2]=date.getUTCDay();HEAP32[tmPtr+36>>2]=0;HEAP32[tmPtr+32>>2]=0;var start=Date.UTC(date.getUTCFullYear(),0,1,0,0,0,0);var yday=(date.getTime()-start)/(1e3*60*60*24)|0;HEAP32[tmPtr+28>>2]=yday;HEAP32[tmPtr+40>>2]=___tm_timezone;return tmPtr}function _gmtime(time){return _gmtime_r(time,___tm_current)}function _inet_addr(ptr){var addr=__inet_pton4_raw(Pointer_stringify(ptr));if(addr===null){return-1}return addr}var _llvm_ceil_f32=Math_ceil;var _llvm_ceil_f64=Math_ceil;function _llvm_copysign_f64(x,y){return y<0||y===0&&1/y<0?-Math_abs(x):Math_abs(x)}function _llvm_cttz_i32(x){x=x|0;return(x?31-(Math_clz32(x^x-1)|0)|0:32)|0}function _llvm_eh_typeid_for(type){return type}function _llvm_exp2_f32(x){return Math.pow(2,x)}var _llvm_fabs_f32=Math_abs;var _llvm_fabs_f64=Math_abs;var _llvm_floor_f32=Math_floor;var _llvm_floor_f64=Math_floor;function _llvm_log10_f32(x){return Math.log(x)/Math.LN10}function _llvm_log2_f32(x){return Math.log(x)/Math.LN2}var _llvm_pow_f64=Math_pow;var _llvm_sqrt_f32=Math_sqrt;function _llvm_trap(){abort("trap!")}var _llvm_trunc_f32=Math_trunc;function _tzset(){if(_tzset.called)return;_tzset.called=true;HEAP32[__get_timezone()>>2]=(new Date).getTimezoneOffset()*60;var currentYear=(new Date).getFullYear();var winter=new Date(currentYear,0,1);var summer=new Date(currentYear,6,1);HEAP32[__get_daylight()>>2]=Number(winter.getTimezoneOffset()!=summer.getTimezoneOffset());function extractZone(date){var match=date.toTimeString().match(/\(([A-Za-z ]+)\)$/);return match?match[1]:"GMT"}var winterName=extractZone(winter);var summerName=extractZone(summer);var winterNamePtr=allocate(intArrayFromString(winterName),"i8",ALLOC_NORMAL);var summerNamePtr=allocate(intArrayFromString(summerName),"i8",ALLOC_NORMAL);if(summer.getTimezoneOffset()<winter.getTimezoneOffset()){HEAP32[__get_tzname()>>2]=winterNamePtr;HEAP32[__get_tzname()+4>>2]=summerNamePtr}else{HEAP32[__get_tzname()>>2]=summerNamePtr;HEAP32[__get_tzname()+4>>2]=winterNamePtr}}function _localtime_r(time,tmPtr){_tzset();var date=new Date(HEAP32[time>>2]*1e3);HEAP32[tmPtr>>2]=date.getSeconds();HEAP32[tmPtr+4>>2]=date.getMinutes();HEAP32[tmPtr+8>>2]=date.getHours();HEAP32[tmPtr+12>>2]=date.getDate();HEAP32[tmPtr+16>>2]=date.getMonth();HEAP32[tmPtr+20>>2]=date.getFullYear()-1900;HEAP32[tmPtr+24>>2]=date.getDay();var start=new Date(date.getFullYear(),0,1);var yday=(date.getTime()-start.getTime())/(1e3*60*60*24)|0;HEAP32[tmPtr+28>>2]=yday;HEAP32[tmPtr+36>>2]=-(date.getTimezoneOffset()*60);var summerOffset=(new Date(date.getFullYear(),6,1)).getTimezoneOffset();var winterOffset=start.getTimezoneOffset();var dst=(summerOffset!=winterOffset&&date.getTimezoneOffset()==Math.min(winterOffset,summerOffset))|0;HEAP32[tmPtr+32>>2]=dst;var zonePtr=HEAP32[__get_tzname()+(dst?4:0)>>2];HEAP32[tmPtr+40>>2]=zonePtr;return tmPtr}function _localtime(time){return _localtime_r(time,___tm_current)}function _emscripten_memcpy_big(dest,src,num){HEAPU8.set(HEAPU8.subarray(src,src+num),dest);return dest}function _mktime(tmPtr){_tzset();var date=new Date(HEAP32[tmPtr+20>>2]+1900,HEAP32[tmPtr+16>>2],HEAP32[tmPtr+12>>2],HEAP32[tmPtr+8>>2],HEAP32[tmPtr+4>>2],HEAP32[tmPtr>>2],0);var dst=HEAP32[tmPtr+32>>2];var guessedOffset=date.getTimezoneOffset();var start=new Date(date.getFullYear(),0,1);var summerOffset=(new Date(date.getFullYear(),6,1)).getTimezoneOffset();var winterOffset=start.getTimezoneOffset();var dstOffset=Math.min(winterOffset,summerOffset);if(dst<0){HEAP32[tmPtr+32>>2]=Number(summerOffset!=winterOffset&&dstOffset==guessedOffset)}else if(dst>0!=(dstOffset==guessedOffset)){var nonDstOffset=Math.max(winterOffset,summerOffset);var trueOffset=dst>0?dstOffset:nonDstOffset;date.setTime(date.getTime()+(trueOffset-guessedOffset)*6e4)}HEAP32[tmPtr+24>>2]=date.getDay();var yday=(date.getTime()-start.getTime())/(1e3*60*60*24)|0;HEAP32[tmPtr+28>>2]=yday;return date.getTime()/1e3|0}function _usleep(useconds){var msec=useconds/1e3;if((ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER)&&self["performance"]&&self["performance"]["now"]){var start=self["performance"]["now"]();while(self["performance"]["now"]()-start<msec){}}else{var start=Date.now();while(Date.now()-start<msec){}}return 0}function _nanosleep(rqtp,rmtp){var seconds=HEAP32[rqtp>>2];var nanoseconds=HEAP32[rqtp+4>>2];if(rmtp!==0){HEAP32[rmtp>>2]=0;HEAP32[rmtp+4>>2]=0}return _usleep(seconds*1e6+nanoseconds/1e3)}function _pthread_cond_destroy(){return 0}function _pthread_cond_init(){return 0}function _pthread_cond_timedwait(){return 0}function _pthread_cond_wait(){return 0}var PTHREAD_SPECIFIC={};function _pthread_getspecific(key){return PTHREAD_SPECIFIC[key]||0}var PTHREAD_SPECIFIC_NEXT_KEY=1;function _pthread_key_create(key,destructor){if(key==0){return ERRNO_CODES.EINVAL}HEAP32[key>>2]=PTHREAD_SPECIFIC_NEXT_KEY;PTHREAD_SPECIFIC[PTHREAD_SPECIFIC_NEXT_KEY]=0;PTHREAD_SPECIFIC_NEXT_KEY++;return 0}function _pthread_key_delete(key){if(key in PTHREAD_SPECIFIC){delete PTHREAD_SPECIFIC[key];return 0}return ERRNO_CODES.EINVAL}function _pthread_mutex_destroy(){}function _pthread_mutex_init(){}function _pthread_mutexattr_destroy(){}function _pthread_mutexattr_init(){}function _pthread_mutexattr_setprotocol(){}function _pthread_mutexattr_settype(){}function _pthread_once(ptr,func){if(!_pthread_once.seen)_pthread_once.seen={};if(ptr in _pthread_once.seen)return;Module["dynCall_v"](func);_pthread_once.seen[ptr]=1}function _pthread_setspecific(key,value){if(!(key in PTHREAD_SPECIFIC)){return ERRNO_CODES.EINVAL}PTHREAD_SPECIFIC[key]=value;return 0}function _sched_yield(){return 0}function _setenv(envname,envval,overwrite){if(envname===0){___setErrNo(ERRNO_CODES.EINVAL);return-1}var name=Pointer_stringify(envname);var val=Pointer_stringify(envval);if(name===""||name.indexOf("=")!==-1){___setErrNo(ERRNO_CODES.EINVAL);return-1}if(ENV.hasOwnProperty(name)&&!overwrite)return 0;ENV[name]=val;___buildEnvironment(__get_environ());return 0}function _sigaction(signum,act,oldact){return 0}function _sigemptyset(set){HEAP32[set>>2]=0;return 0}function __isLeapYear(year){return year%4===0&&(year%100!==0||year%400===0)}function __arraySum(array,index){var sum=0;for(var i=0;i<=index;sum+=array[i++]);return sum}var __MONTH_DAYS_LEAP=[31,29,31,30,31,30,31,31,30,31,30,31];var __MONTH_DAYS_REGULAR=[31,28,31,30,31,30,31,31,30,31,30,31];function __addDays(date,days){var newDate=new Date(date.getTime());while(days>0){var leap=__isLeapYear(newDate.getFullYear());var currentMonth=newDate.getMonth();var daysInCurrentMonth=(leap?__MONTH_DAYS_LEAP:__MONTH_DAYS_REGULAR)[currentMonth];if(days>daysInCurrentMonth-newDate.getDate()){days-=daysInCurrentMonth-newDate.getDate()+1;newDate.setDate(1);if(currentMonth<11){newDate.setMonth(currentMonth+1)}else{newDate.setMonth(0);newDate.setFullYear(newDate.getFullYear()+1)}}else{newDate.setDate(newDate.getDate()+days);return newDate}}return newDate}function _strftime(s,maxsize,format,tm){var tm_zone=HEAP32[tm+40>>2];var date={tm_sec:HEAP32[tm>>2],tm_min:HEAP32[tm+4>>2],tm_hour:HEAP32[tm+8>>2],tm_mday:HEAP32[tm+12>>2],tm_mon:HEAP32[tm+16>>2],tm_year:HEAP32[tm+20>>2],tm_wday:HEAP32[tm+24>>2],tm_yday:HEAP32[tm+28>>2],tm_isdst:HEAP32[tm+32>>2],tm_gmtoff:HEAP32[tm+36>>2],tm_zone:tm_zone?Pointer_stringify(tm_zone):""};var pattern=Pointer_stringify(format);var EXPANSION_RULES_1={"%c":"%a %b %d %H:%M:%S %Y","%D":"%m/%d/%y","%F":"%Y-%m-%d","%h":"%b","%r":"%I:%M:%S %p","%R":"%H:%M","%T":"%H:%M:%S","%x":"%m/%d/%y","%X":"%H:%M:%S"};for(var rule in EXPANSION_RULES_1){pattern=pattern.replace(new RegExp(rule,"g"),EXPANSION_RULES_1[rule])}var WEEKDAYS=["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"];var MONTHS=["January","February","March","April","May","June","July","August","September","October","November","December"];function leadingSomething(value,digits,character){var str=typeof value==="number"?value.toString():value||"";while(str.length<digits){str=character[0]+str}return str}function leadingNulls(value,digits){return leadingSomething(value,digits,"0")}function compareByDay(date1,date2){function sgn(value){return value<0?-1:value>0?1:0}var compare;if((compare=sgn(date1.getFullYear()-date2.getFullYear()))===0){if((compare=sgn(date1.getMonth()-date2.getMonth()))===0){compare=sgn(date1.getDate()-date2.getDate())}}return compare}function getFirstWeekStartDate(janFourth){switch(janFourth.getDay()){case 0:return new Date(janFourth.getFullYear()-1,11,29);case 1:return janFourth;case 2:return new Date(janFourth.getFullYear(),0,3);case 3:return new Date(janFourth.getFullYear(),0,2);case 4:return new Date(janFourth.getFullYear(),0,1);case 5:return new Date(janFourth.getFullYear()-1,11,31);case 6:return new Date(janFourth.getFullYear()-1,11,30)}}function getWeekBasedYear(date){var thisDate=__addDays(new Date(date.tm_year+1900,0,1),date.tm_yday);var janFourthThisYear=new Date(thisDate.getFullYear(),0,4);var janFourthNextYear=new Date(thisDate.getFullYear()+1,0,4);var firstWeekStartThisYear=getFirstWeekStartDate(janFourthThisYear);var firstWeekStartNextYear=getFirstWeekStartDate(janFourthNextYear);if(compareByDay(firstWeekStartThisYear,thisDate)<=0){if(compareByDay(firstWeekStartNextYear,thisDate)<=0){return thisDate.getFullYear()+1}else{return thisDate.getFullYear()}}else{return thisDate.getFullYear()-1}}var EXPANSION_RULES_2={"%a":(function(date){return WEEKDAYS[date.tm_wday].substring(0,3)}),"%A":(function(date){return WEEKDAYS[date.tm_wday]}),"%b":(function(date){return MONTHS[date.tm_mon].substring(0,3)}),"%B":(function(date){return MONTHS[date.tm_mon]}),"%C":(function(date){var year=date.tm_year+1900;return leadingNulls(year/100|0,2)}),"%d":(function(date){return leadingNulls(date.tm_mday,2)}),"%e":(function(date){return leadingSomething(date.tm_mday,2," ")}),"%g":(function(date){return getWeekBasedYear(date).toString().substring(2)}),"%G":(function(date){return getWeekBasedYear(date)}),"%H":(function(date){return leadingNulls(date.tm_hour,2)}),"%I":(function(date){var twelveHour=date.tm_hour;if(twelveHour==0)twelveHour=12;else if(twelveHour>12)twelveHour-=12;return leadingNulls(twelveHour,2)}),"%j":(function(date){return leadingNulls(date.tm_mday+__arraySum(__isLeapYear(date.tm_year+1900)?__MONTH_DAYS_LEAP:__MONTH_DAYS_REGULAR,date.tm_mon-1),3)}),"%m":(function(date){return leadingNulls(date.tm_mon+1,2)}),"%M":(function(date){return leadingNulls(date.tm_min,2)}),"%n":(function(){return"\n"}),"%p":(function(date){if(date.tm_hour>=0&&date.tm_hour<12){return"AM"}else{return"PM"}}),"%S":(function(date){return leadingNulls(date.tm_sec,2)}),"%t":(function(){return"\t"}),"%u":(function(date){var day=new Date(date.tm_year+1900,date.tm_mon+1,date.tm_mday,0,0,0,0);return day.getDay()||7}),"%U":(function(date){var janFirst=new Date(date.tm_year+1900,0,1);var firstSunday=janFirst.getDay()===0?janFirst:__addDays(janFirst,7-janFirst.getDay());var endDate=new Date(date.tm_year+1900,date.tm_mon,date.tm_mday);if(compareByDay(firstSunday,endDate)<0){var februaryFirstUntilEndMonth=__arraySum(__isLeapYear(endDate.getFullYear())?__MONTH_DAYS_LEAP:__MONTH_DAYS_REGULAR,endDate.getMonth()-1)-31;var firstSundayUntilEndJanuary=31-firstSunday.getDate();var days=firstSundayUntilEndJanuary+februaryFirstUntilEndMonth+endDate.getDate();return leadingNulls(Math.ceil(days/7),2)}return compareByDay(firstSunday,janFirst)===0?"01":"00"}),"%V":(function(date){var janFourthThisYear=new Date(date.tm_year+1900,0,4);var janFourthNextYear=new Date(date.tm_year+1901,0,4);var firstWeekStartThisYear=getFirstWeekStartDate(janFourthThisYear);var firstWeekStartNextYear=getFirstWeekStartDate(janFourthNextYear);var endDate=__addDays(new Date(date.tm_year+1900,0,1),date.tm_yday);if(compareByDay(endDate,firstWeekStartThisYear)<0){return"53"}if(compareByDay(firstWeekStartNextYear,endDate)<=0){return"01"}var daysDifference;if(firstWeekStartThisYear.getFullYear()<date.tm_year+1900){daysDifference=date.tm_yday+32-firstWeekStartThisYear.getDate()}else{daysDifference=date.tm_yday+1-firstWeekStartThisYear.getDate()}return leadingNulls(Math.ceil(daysDifference/7),2)}),"%w":(function(date){var day=new Date(date.tm_year+1900,date.tm_mon+1,date.tm_mday,0,0,0,0);return day.getDay()}),"%W":(function(date){var janFirst=new Date(date.tm_year,0,1);var firstMonday=janFirst.getDay()===1?janFirst:__addDays(janFirst,janFirst.getDay()===0?1:7-janFirst.getDay()+1);var endDate=new Date(date.tm_year+1900,date.tm_mon,date.tm_mday);if(compareByDay(firstMonday,endDate)<0){var februaryFirstUntilEndMonth=__arraySum(__isLeapYear(endDate.getFullYear())?__MONTH_DAYS_LEAP:__MONTH_DAYS_REGULAR,endDate.getMonth()-1)-31;var firstMondayUntilEndJanuary=31-firstMonday.getDate();var days=firstMondayUntilEndJanuary+februaryFirstUntilEndMonth+endDate.getDate();return leadingNulls(Math.ceil(days/7),2)}return compareByDay(firstMonday,janFirst)===0?"01":"00"}),"%y":(function(date){return(date.tm_year+1900).toString().substring(2)}),"%Y":(function(date){return date.tm_year+1900}),"%z":(function(date){var off=date.tm_gmtoff;var ahead=off>=0;off=Math.abs(off)/60;off=off/60*100+off%60;return(ahead?"+":"-")+String("0000"+off).slice(-4)}),"%Z":(function(date){return date.tm_zone}),"%%":(function(){return"%"})};for(var rule in EXPANSION_RULES_2){if(pattern.indexOf(rule)>=0){pattern=pattern.replace(new RegExp(rule,"g"),EXPANSION_RULES_2[rule](date))}}var bytes=intArrayFromString(pattern,false);if(bytes.length>maxsize){return 0}writeArrayToMemory(bytes,s);return bytes.length-1}function _sysconf(name){switch(name){case 30:return PAGE_SIZE;case 85:var maxHeapSize=2*1024*1024*1024-65536;return maxHeapSize/PAGE_SIZE;case 132:case 133:case 12:case 137:case 138:case 15:case 235:case 16:case 17:case 18:case 19:case 20:case 149:case 13:case 10:case 236:case 153:case 9:case 21:case 22:case 159:case 154:case 14:case 77:case 78:case 139:case 80:case 81:case 82:case 68:case 67:case 164:case 11:case 29:case 47:case 48:case 95:case 52:case 51:case 46:return 200809;case 79:return 0;case 27:case 246:case 127:case 128:case 23:case 24:case 160:case 161:case 181:case 182:case 242:case 183:case 184:case 243:case 244:case 245:case 165:case 178:case 179:case 49:case 50:case 168:case 169:case 175:case 170:case 171:case 172:case 97:case 76:case 32:case 173:case 35:return-1;case 176:case 177:case 7:case 155:case 8:case 157:case 125:case 126:case 92:case 93:case 129:case 130:case 131:case 94:case 91:return 1;case 74:case 60:case 69:case 70:case 4:return 1024;case 31:case 42:case 72:return 32;case 87:case 26:case 33:return 2147483647;case 34:case 1:return 47839;case 38:case 36:return 99;case 43:case 37:return 2048;case 0:return 2097152;case 3:return 65536;case 28:return 32768;case 44:return 32767;case 75:return 16384;case 39:return 1e3;case 89:return 700;case 71:return 256;case 40:return 255;case 2:return 100;case 180:return 64;case 25:return 20;case 5:return 16;case 6:return 6;case 73:return 4;case 84:{if(typeof navigator==="object")return navigator["hardwareConcurrency"]||1;return 1}}___setErrNo(ERRNO_CODES.EINVAL);return-1}function _time(ptr){var ret=Date.now()/1e3|0;if(ptr){HEAP32[ptr>>2]=ret}return ret}function _unsetenv(name){if(name===0){___setErrNo(ERRNO_CODES.EINVAL);return-1}name=Pointer_stringify(name);if(name===""||name.indexOf("=")!==-1){___setErrNo(ERRNO_CODES.EINVAL);return-1}if(ENV.hasOwnProperty(name)){delete ENV[name];___buildEnvironment(__get_environ())}return 0}function _utime(path,times){var time;if(times){var offset=4;time=HEAP32[times+offset>>2];time*=1e3}else{time=Date.now()}path=Pointer_stringify(path);try{FS.utime(path,time,time);return 0}catch(e){FS.handleFSError(e);return-1}}FS.staticInit();__ATINIT__.unshift((function(){if(!Module["noFSInit"]&&!FS.init.initialized)FS.init()}));__ATMAIN__.push((function(){FS.ignorePermissions=false}));__ATEXIT__.push((function(){FS.quit()}));Module["FS_createPath"]=FS.createPath;Module["FS_createDataFile"]=FS.createDataFile;__ATINIT__.unshift((function(){TTY.init()}));__ATEXIT__.push((function(){TTY.shutdown()}));if(ENVIRONMENT_IS_NODE){var fs=require("fs");var NODEJS_PATH=require("path");NODEFS.staticInit()}__ATINIT__.push((function(){SOCKFS.root=FS.mount(SOCKFS,{},null)}));if(ENVIRONMENT_IS_NODE){_emscripten_get_now=function _emscripten_get_now_actual(){var t=process["hrtime"]();return t[0]*1e3+t[1]/1e6}}else if(typeof dateNow!=="undefined"){_emscripten_get_now=dateNow}else if(typeof self==="object"&&self["performance"]&&typeof self["performance"]["now"]==="function"){_emscripten_get_now=(function(){return self["performance"]["now"]()})}else if(typeof performance==="object"&&typeof performance["now"]==="function"){_emscripten_get_now=(function(){return performance["now"]()})}else{_emscripten_get_now=Date.now}Module["requestFullScreen"]=function Module_requestFullScreen(lockPointer,resizeCanvas,vrDevice){err("Module.requestFullScreen is deprecated. Please call Module.requestFullscreen instead.");Module["requestFullScreen"]=Module["requestFullscreen"];Browser.requestFullScreen(lockPointer,resizeCanvas,vrDevice)};Module["requestFullscreen"]=function Module_requestFullscreen(lockPointer,resizeCanvas,vrDevice){Browser.requestFullscreen(lockPointer,resizeCanvas,vrDevice)};Module["requestAnimationFrame"]=function Module_requestAnimationFrame(func){Browser.requestAnimationFrame(func)};Module["setCanvasSize"]=function Module_setCanvasSize(width,height,noUpdates){Browser.setCanvasSize(width,height,noUpdates)};Module["pauseMainLoop"]=function Module_pauseMainLoop(){Browser.mainLoop.pause()};Module["resumeMainLoop"]=function Module_resumeMainLoop(){Browser.mainLoop.resume()};Module["getUserMedia"]=function Module_getUserMedia(){Browser.getUserMedia()};Module["createContext"]=function Module_createContext(canvas,useWebGL,setInModule,webGLContextAttributes){return Browser.createContext(canvas,useWebGL,setInModule,webGLContextAttributes)};JSEvents.staticInit();var GLctx;GL.init();DYNAMICTOP_PTR=staticAlloc(4);STACK_BASE=STACKTOP=alignMemory(STATICTOP);STACK_MAX=STACK_BASE+TOTAL_STACK;DYNAMIC_BASE=alignMemory(STACK_MAX);HEAP32[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE;staticSealed=true;function intArrayFromString(stringy,dontAddNull,length){var len=length>0?length:lengthBytesUTF8(stringy)+1;var u8array=new Array(len);var numBytesWritten=stringToUTF8Array(stringy,u8array,0,u8array.length);if(dontAddNull)u8array.length=numBytesWritten;return u8array}Module["wasmTableSize"]=57020;Module["wasmMaxTableSize"]=57020;function invoke_ddddi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_ddddi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_dddi(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_dddi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ddi(index,a1,a2){var sp=stackSave();try{return Module["dynCall_ddi"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_dfi(index,a1,a2){var sp=stackSave();try{return Module["dynCall_dfi"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_di(index,a1){var sp=stackSave();try{return Module["dynCall_di"](index,a1)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_diddi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_diddi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_didi(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_didi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_dii(index,a1,a2){var sp=stackSave();try{return Module["dynCall_dii"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_diii(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_diii"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_diiii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_diiii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_dji(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_dji"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_f(index){var sp=stackSave();try{return Module["dynCall_f"](index)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fdi(index,a1,a2){var sp=stackSave();try{return Module["dynCall_fdi"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ff(index,a1){var sp=stackSave();try{return Module["dynCall_ff"](index,a1)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fff(index,a1,a2){var sp=stackSave();try{return Module["dynCall_fff"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ffffi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_ffffi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fffi(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_fffi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fffifffi(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_fffifffi"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ffi(index,a1,a2){var sp=stackSave();try{return Module["dynCall_ffi"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fi(index,a1){var sp=stackSave();try{return Module["dynCall_fi"](index,a1)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fif(index,a1,a2){var sp=stackSave();try{return Module["dynCall_fif"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fiff(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_fiff"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fiffi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_fiffi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fifi(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_fifi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fifii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_fifii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fii(index,a1,a2){var sp=stackSave();try{return Module["dynCall_fii"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fiifi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_fiifi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fiifii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_fiifii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fiii(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_fiii"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fiiii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_fiiii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fiiiii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_fiiiii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fiiiiiifiifif(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12){var sp=stackSave();try{return Module["dynCall_fiiiiiifiifif"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fiiiiiifiiiif(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12){var sp=stackSave();try{return Module["dynCall_fiiiiiifiiiif"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_fji(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_fji"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_i(index){var sp=stackSave();try{return Module["dynCall_i"](index)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_idddddddi(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{return Module["dynCall_idddddddi"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iddddi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iddddi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iddddii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iddddii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_idddi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_idddi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iddi(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_iddi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_idi(index,a1,a2){var sp=stackSave();try{return Module["dynCall_idi"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_idii(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_idii"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_idiii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_idiii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ifffi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_ifffi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iffi(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_iffi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ifi(index,a1,a2){var sp=stackSave();try{return Module["dynCall_ifi"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ifii(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_ifii"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ifiii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_ifiii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ii(index,a1){var sp=stackSave();try{return Module["dynCall_ii"](index,a1)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiddddi(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiddddi"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iidddi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iidddi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiddi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iiddi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiddii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iiddii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiddiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiddiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iidi(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_iidi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iidii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iidii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iidiii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iidiii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iif(index,a1,a2){var sp=stackSave();try{return Module["dynCall_iif"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iifff(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iifff"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiffffi(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiffffi"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iifffi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iifffi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiffi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iiffi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iifi(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_iifi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iifii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iifii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iifiii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iifiii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iifiiiijii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{return Module["dynCall_iifiiiijii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iii(index,a1,a2){var sp=stackSave();try{return Module["dynCall_iii"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiidi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iiidi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiidiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiidiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiif(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_iiif"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiffffi(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiiffffi"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiffiii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiiffiii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiffiiii(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{return Module["dynCall_iiiffiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiifi(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iiifi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiifii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iiifii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiifiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiifiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiifiiii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiifiiii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiii(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_iiii"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiidi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iiiidi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiidii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiiidii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiifffffi(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{return Module["dynCall_iiiifffffi"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiifffffii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{return Module["dynCall_iiiifffffii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiifffiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{return Module["dynCall_iiiifffiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiifi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iiiifi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiifii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiiifii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiifiii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiiifiii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiifiiii(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{return Module["dynCall_iiiifiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiifiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{return Module["dynCall_iiiifiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iiiii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiifi(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiiiifi"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiifiii(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{return Module["dynCall_iiiiifiii"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiifiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{return Module["dynCall_iiiiifiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiifiiiiif(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11){var sp=stackSave();try{return Module["dynCall_iiiiifiiiiif"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iiiiii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiidi(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiiiiidi"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiifff(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{return Module["dynCall_iiiiiifff"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiifffiiifiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15){var sp=stackSave();try{return Module["dynCall_iiiiiifffiiifiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiffiiiiiiiiiffffiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16,a17,a18,a19,a20,a21,a22,a23){var sp=stackSave();try{return Module["dynCall_iiiiiiffiiiiiiiiiffffiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16,a17,a18,a19,a20,a21,a22,a23)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiffiiiiiiiiiffffiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16,a17,a18,a19,a20,a21,a22,a23,a24){var sp=stackSave();try{return Module["dynCall_iiiiiiffiiiiiiiiiffffiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16,a17,a18,a19,a20,a21,a22,a23,a24)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiffiiiiiiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16,a17,a18,a19,a20,a21,a22){var sp=stackSave();try{return Module["dynCall_iiiiiiffiiiiiiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16,a17,a18,a19,a20,a21,a22)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiifiif(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{return Module["dynCall_iiiiiifiif"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiifiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{return Module["dynCall_iiiiiifiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiiiiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiifiif(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{return Module["dynCall_iiiiiiifiif"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{return Module["dynCall_iiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiiiidi(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{return Module["dynCall_iiiiiiiiidi"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{return Module["dynCall_iiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{return Module["dynCall_iiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11){var sp=stackSave();try{return Module["dynCall_iiiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12){var sp=stackSave();try{return Module["dynCall_iiiiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13){var sp=stackSave();try{return Module["dynCall_iiiiiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiiji(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiiiiji"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiij(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iiiij"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiiji(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiiiji"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiijii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiiijii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiij(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iiij"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiiji(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iiiji"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiijifi(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiijifi"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiijii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iiijii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiijiii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiijiii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiijji(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iiijji"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiijjjii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{return Module["dynCall_iiijjjii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiijjjiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11){var sp=stackSave();try{return Module["dynCall_iiijjjiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iij(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_iij"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iiji(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_iiji"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iijii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_iijii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iijiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iijiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iijji(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_iijji"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iijjii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_iijjii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iijjiii(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{return Module["dynCall_iijjiii"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iijjji(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{return Module["dynCall_iijjji"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iijjjii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{return Module["dynCall_iijjjii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iijjjji(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{return Module["dynCall_iijjjji"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iijjjjiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12){var sp=stackSave();try{return Module["dynCall_iijjjjiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ij(index,a1,a2){var sp=stackSave();try{return Module["dynCall_ij"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_iji(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_iji"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ijiifi(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_ijiifi"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ijiii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_ijiii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ijj(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_ijj"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ijji(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_ijji"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_j(index){var sp=stackSave();try{return Module["dynCall_j"](index)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jdi(index,a1,a2){var sp=stackSave();try{return Module["dynCall_jdi"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jdii(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_jdii"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jfi(index,a1,a2){var sp=stackSave();try{return Module["dynCall_jfi"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_ji(index,a1){var sp=stackSave();try{return Module["dynCall_ji"](index,a1)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jidi(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_jidi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jidii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_jidii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jii(index,a1,a2){var sp=stackSave();try{return Module["dynCall_jii"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jiii(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_jiii"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jiiii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_jiiii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jiiiii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_jiiiii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jiiiiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_jiiiiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{return Module["dynCall_jiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jiiji(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_jiiji"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jiijiii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_jiijiii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jiji(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_jiji"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jijii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_jijii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jijiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_jijiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jijj(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_jijj"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jijji(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{return Module["dynCall_jijji"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jji(index,a1,a2,a3){var sp=stackSave();try{return Module["dynCall_jji"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jjii(index,a1,a2,a3,a4){var sp=stackSave();try{return Module["dynCall_jjii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jjji(index,a1,a2,a3,a4,a5){var sp=stackSave();try{return Module["dynCall_jjji"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_jjjji(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{return Module["dynCall_jjjji"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_v(index){var sp=stackSave();try{Module["dynCall_v"](index)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vd(index,a1){var sp=stackSave();try{Module["dynCall_vd"](index,a1)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vf(index,a1){var sp=stackSave();try{Module["dynCall_vf"](index,a1)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vff(index,a1,a2){var sp=stackSave();try{Module["dynCall_vff"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vffff(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_vffff"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vfi(index,a1,a2){var sp=stackSave();try{Module["dynCall_vfi"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vfii(index,a1,a2,a3){var sp=stackSave();try{Module["dynCall_vfii"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vfiii(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_vfiii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vi(index,a1){var sp=stackSave();try{Module["dynCall_vi"](index,a1)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vid(index,a1,a2){var sp=stackSave();try{Module["dynCall_vid"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vidd(index,a1,a2,a3){var sp=stackSave();try{Module["dynCall_vidd"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viddddi(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viddddi"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vidddi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_vidddi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viddi(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_viddi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viddii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viddii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vidi(index,a1,a2,a3){var sp=stackSave();try{Module["dynCall_vidi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vif(index,a1,a2){var sp=stackSave();try{Module["dynCall_vif"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viff(index,a1,a2,a3){var sp=stackSave();try{Module["dynCall_viff"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vifff(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_vifff"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viffff(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viffff"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viffffi(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viffffi"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viffffii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viffffii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viffffiifffiiiiif(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16){var sp=stackSave();try{Module["dynCall_viffffiifffiiiiif"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vifffi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_vifffi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vifffii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_vifffii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viffi(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_viffi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viffii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viffii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viffiifffffiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13){var sp=stackSave();try{Module["dynCall_viffiifffffiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viffiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viffiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viffiiiif(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{Module["dynCall_viffiiiif"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vifi(index,a1,a2,a3){var sp=stackSave();try{Module["dynCall_vifi"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vifii(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_vifii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vifiiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_vifiiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vifijii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_vifijii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_vii(index,a1,a2){var sp=stackSave();try{Module["dynCall_vii"](index,a1,a2)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viid(index,a1,a2,a3){var sp=stackSave();try{Module["dynCall_viid"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiddii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viiddii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viidi(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_viidi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viidii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viidii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viif(index,a1,a2,a3){var sp=stackSave();try{Module["dynCall_viif"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiff(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_viiff"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viifff(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viifff"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viifffi(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viifffi"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiffi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viiffi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiffii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viiffii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiffiiii(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{Module["dynCall_viiffiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viifi(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_viifi"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viifii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viifii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viifiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viifiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viifiiii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viifiiii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viii(index,a1,a2,a3){var sp=stackSave();try{Module["dynCall_viii"](index,a1,a2,a3)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiidi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viiidi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiif(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_viiif"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiifffi(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viiifffi"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiifffiiij(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11){var sp=stackSave();try{Module["dynCall_viiifffiiij"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiffi(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viiiffi"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiffii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viiiffii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiifi(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viiifi"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiifii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viiifii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiifiii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viiifiii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiifiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{Module["dynCall_viiifiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiii(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_viiii"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiif(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viiiif"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiifi(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viiiifi"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiifii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viiiifii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiifiiiiif(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11){var sp=stackSave();try{Module["dynCall_viiiifiiiiif"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiii(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viiiii"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiif(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viiiiif"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiffi(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{Module["dynCall_viiiiiffi"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiffii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{Module["dynCall_viiiiiffii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiifi(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viiiiifi"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiifii(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{Module["dynCall_viiiiifii"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiifiiifiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15){var sp=stackSave();try{Module["dynCall_viiiiifiiifiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viiiiii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiif(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viiiiiif"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiii(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viiiiiii"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiifi(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{Module["dynCall_viiiiiiifi"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{Module["dynCall_viiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var sp=stackSave();try{Module["dynCall_viiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{Module["dynCall_viiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11){var sp=stackSave();try{Module["dynCall_viiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiiiiiifii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14){var sp=stackSave();try{Module["dynCall_viiiiiiiiiiifii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12){var sp=stackSave();try{Module["dynCall_viiiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14){var sp=stackSave();try{Module["dynCall_viiiiiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15){var sp=stackSave();try{Module["dynCall_viiiiiiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiiiiiiiiiiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16,a17,a18){var sp=stackSave();try{Module["dynCall_viiiiiiiiiiiiiiiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11,a12,a13,a14,a15,a16,a17,a18)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiiiiji(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{Module["dynCall_viiiiiiiji"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiij(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viiiij"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiiji(index,a1,a2,a3,a4,a5,a6,a7){var sp=stackSave();try{Module["dynCall_viiiiji"](index,a1,a2,a3,a4,a5,a6,a7)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiijii(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{Module["dynCall_viiiijii"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiijiiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10){var sp=stackSave();try{Module["dynCall_viiiijiiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiiji(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viiiji"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiijji(index,a1,a2,a3,a4,a5,a6,a7,a8){var sp=stackSave();try{Module["dynCall_viiijji"](index,a1,a2,a3,a4,a5,a6,a7,a8)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viij(index,a1,a2,a3,a4){var sp=stackSave();try{Module["dynCall_viij"](index,a1,a2,a3,a4)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viiji(index,a1,a2,a3,a4,a5){var sp=stackSave();try{Module["dynCall_viiji"](index,a1,a2,a3,a4,a5)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viijii(index,a1,a2,a3,a4,a5,a6){var sp=stackSave();try{Module["dynCall_viijii"](index,a1,a2,a3,a4,a5,a6)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viijiijiii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11){var sp=stackSave();try{Module["dynCall_viijiijiii"](index,a1,a2,a3,a4,a5,a6,a7,a8,a9,a10,a11)}catch(e){stackRestore(sp);if(typeof e!=="number"&&e!=="longjmp")throw e;Module["setThrew"](1,0)}}function invoke_viijijii(index,a1,a2,a3,a4,a5,a6,a7,a8,a9){var 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diff --git a/spaces/awacke1/Markdown-Analyzer/README.md b/spaces/awacke1/Markdown-Analyzer/README.md
deleted file mode 100644
index fbf209da514200f494b3692a675addfe01401df3..0000000000000000000000000000000000000000
--- a/spaces/awacke1/Markdown-Analyzer/README.md
+++ /dev/null
@@ -1,46 +0,0 @@
----
-title: PythonDiagramsGraphVizStreamlit
-emoji: 📈
-colorFrom: pink
-colorTo: red
-sdk: streamlit
-sdk_version: 1.17.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-🎶 Yo, listen up, we got a tale to tell 📣
-About this Markdown Analyzer, it's dope as hell 😎
-🚀 Sky's the limit, we're on the up and up 🔝
-Ain't no stoppin' now, our tool's disruptin' stuff 💥
-
-(Chorus)
-🔍 Markdown Analyzer, it's the new sensation 🌟
-📝 Simplify your life, with some dope automation 😜
-💯 Keep your files clean, like a boss, no debate 😤
-🔥 Markdown Analyzer, let's celebrate! 🎉
-
-(Verse 2)
-🌐 Markdown magic, worldwide, it's a hit 📈
-Our software's got the swagger, ain't no counterfeit 💯
-🕵️ Analyze your files with just a single click 💻
-You'll be laughing all the way, 'cause this ain't no shtick 😂
-
-(Bridge)
-🤖 We the funniest analysts in the biz 😹
-👊 Breakin' down your markdown, we're doing it, kids 🚸
-🎯 Precision on point, we ain't gonna miss 🎯
-🔗 Linkin' up your docs, like a lyrical whiz 🧙‍♂️
-
-(Chorus)
-🔍 Markdown Analyzer, it's the new sensation 🌟
-📝 Simplify your life, with some dope automation 😜
-💯 Keep your files clean, like a boss, no debate 😤
-🔥 Markdown Analyzer, let's celebrate! 🎉
-
-(Outro)
-🏆 Best in the game, our rhymes on fire 🔥
-🌍 Spreadin' Markdown Analyzer love, we won't retire 🙌
-🎤 You have rhymes, we got your style and flow 📻
-🎶 But it's Markdown Analyzer's time to steal the show! 🎇
\ No newline at end of file
diff --git a/spaces/awacke1/MemeGenerator/README.md b/spaces/awacke1/MemeGenerator/README.md
deleted file mode 100644
index fb18c7e2728f699e658dc42379aec5743dc7cdc3..0000000000000000000000000000000000000000
--- a/spaces/awacke1/MemeGenerator/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: MemeGenerator
-emoji: ⚡
-colorFrom: purple
-colorTo: green
-sdk: streamlit
-sdk_version: 1.25.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/bachpc/table-structure-recognition/app.py b/spaces/bachpc/table-structure-recognition/app.py
deleted file mode 100644
index 9a092b6e18566cba0c6a0b608774bfaa1ad79957..0000000000000000000000000000000000000000
--- a/spaces/bachpc/table-structure-recognition/app.py
+++ /dev/null
@@ -1,695 +0,0 @@
-import streamlit as st
-import PIL
-import cv2
-import numpy as np
-import pandas as pd
-import torch
-import os
-import io
-# import sys
-# import json
-from collections import OrderedDict, defaultdict
-import xml.etree.ElementTree as ET
-from tempfile import TemporaryDirectory
-import xlsxwriter
-import matplotlib.pyplot as plt
-import matplotlib.patches as patches
-from matplotlib.patches import Patch
-
-from paddleocr import PaddleOCR
-# import pytesseract
-# from pytesseract import Output
-from fitz import Rect
-
-import postprocess
-
-
-st.set_page_config(page_title='Table Extraction Demo', layout='wide')
-
-
-@st.experimental_singleton(ttl=3600)
-def load_ocr_instance():
-    ocr_instance = PaddleOCR(use_angle_cls=False, lang='en', use_gpu=True)
-    return ocr_instance
-
-
-@st.experimental_singleton(ttl=3600)
-def load_detection_model():
-    detection_model = torch.hub.load('ultralytics/yolov5', 'custom', 'weights/detection_wts.pt', force_reload=True, skip_validation=True, trust_repo=True)
-    return detection_model
-
-
-@st.experimental_singleton(ttl=3600)
-def load_structure_model():
-    structure_model = torch.hub.load('ultralytics/yolov5', 'custom', 'weights/structure_wts.pt', force_reload=True, skip_validation=True, trust_repo=True)
-    return structure_model
-
-
-ocr_instance, detection_model, structure_model = load_ocr_instance(), load_detection_model(), load_structure_model()
-
-detection_class_names = ['table', 'table rotated', 'no object']
-structure_class_names = [
-    'table', 'table column', 'table row', 'table column header',
-    'table projected row header', 'table spanning cell', 'no object'
-]
-
-detection_class_map = {k: v for v, k in enumerate(detection_class_names)}
-structure_class_map = {k: v for v, k in enumerate(structure_class_names)}
-
-detection_class_thresholds = {
-    'table': 0.5,
-    'table rotated': 0.5,
-    'no object': 10
-}
-structure_class_thresholds = {
-    "table": 0.45,
-    "table column": 0.6,
-    "table row": 0.5,
-    "table column header": 0.4,
-    "table projected row header": 0.3,
-    "table spanning cell": 0.5,
-    "no object": 10
-}
-
-
-def PIL_to_cv(pil_img):
-    return cv2.cvtColor(np.array(pil_img), cv2.COLOR_RGB2BGR)
-
-
-def cv_to_PIL(cv_img):
-    return PIL.Image.fromarray(cv2.cvtColor(cv_img, cv2.COLOR_BGR2RGB))
-
-
-def table_detection(pil_img, imgsz=640):
-    image = PIL_to_cv(pil_img)
-    pred = detection_model(image, size=imgsz)
-    pred = pred.xywhn[0]
-    result = pred.detach().cpu().numpy()
-    return result
-
-
-def table_structure(pil_img, imgsz=640):
-    image = PIL_to_cv(pil_img)
-    pred = structure_model(image, size=imgsz)
-    pred = pred.xywhn[0]
-    result = pred.detach().cpu().numpy()
-    return result
-
-
-def crop_image(pil_img, detection_result):
-    crop_images = []
-    image = PIL_to_cv(pil_img)
-    width = image.shape[1]
-    height = image.shape[0]
-    # print(width, height)
-    for idx, result in enumerate(detection_result):
-        class_id = int(result[5])
-        score = float(result[4])
-        min_x = result[0]
-        min_y = result[1]
-        w = result[2]
-        h = result[3]
-
-        if score < detection_class_thresholds[detection_class_names[class_id]]:
-            continue
-
-        x1 = int((min_x - w / 2) * width)
-        y1 = int((min_y - h / 2) * height)
-        x2 = int((min_x + w / 2) * width)
-        y2 = int((min_y + h / 2) * height)
-        # print(x1, y1, x2, y2)
-
-        padding_x = max(int(0.02 * width), 30)
-        padding_y = max(int(0.02 * height), 30)
-
-        x1_pad = max(0, x1 - padding_x)
-        y1_pad = max(0, y1 - padding_y)
-        x2_pad = min(width, x2 + padding_x)
-        y2_pad = min(height, y2 + padding_y)
-
-        crop_image = image[y1_pad:y2_pad, x1_pad:x2_pad, :]
-        crop_image = cv_to_PIL(crop_image)
-        if detection_class_names[class_id] == 'table rotated':
-            crop_image = crop_image.rotate(270, expand=True)
-
-        crop_images.append(crop_image)
-
-        cv2.rectangle(image, (x1, y1), (x2, y2), color=(0, 0, 255), thickness=2)
-
-        label = f'{detection_class_names[class_id]} {score:.2f}'
-
-        lw = max(round(sum(image.shape) / 2 * 0.003), 2)
-        fontScale = lw / 3
-        thickness = max(lw - 1, 1)
-        w_label, h_label = cv2.getTextSize(label, 0, fontScale=fontScale, thickness=thickness)[0]
-        cv2.rectangle(image, (x1, y1), (x1 + w_label, y1 - h_label - 3), (0, 0, 255), -1, cv2.LINE_AA)
-        cv2.putText(image, label, (x1, y1 - 2), cv2.FONT_HERSHEY_SIMPLEX, fontScale, (255, 255, 255), thickness=thickness, lineType=cv2.LINE_AA)
-
-    return crop_images, cv_to_PIL(image)
-
-
-def ocr(pil_img):
-    image = PIL_to_cv(pil_img)
-    result = ocr_instance.ocr(image)
-    ocr_res = []
-
-    for ps, (text, score) in result[0]:
-        x1 = min(p[0] for p in ps)
-        y1 = min(p[1] for p in ps)
-        x2 = max(p[0] for p in ps)
-        y2 = max(p[1] for p in ps)
-        word_info = {
-            'bbox': [x1, y1, x2, y2],
-            'text': text
-        }
-        ocr_res.append(word_info)
-
-    return ocr_res
-
-
-def convert_stucture(page_tokens, pil_img, structure_result):
-    image = PIL_to_cv(pil_img)
-
-    width = image.shape[1]
-    height = image.shape[0]
-    # print(width, height)
-
-    bboxes = []
-    scores = []
-    labels = []
-    for idx, result in enumerate(structure_result):
-        class_id = int(result[5])
-        score = float(result[4])
-        min_x = result[0]
-        min_y = result[1]
-        w = result[2]
-        h = result[3]
-
-        x1 = int((min_x - w / 2) * width)
-        y1 = int((min_y - h / 2) * height)
-        x2 = int((min_x + w / 2) * width)
-        y2 = int((min_y + h / 2) * height)
-        # print(x1, y1, x2, y2)
-
-        bboxes.append([x1, y1, x2, y2])
-        scores.append(score)
-        labels.append(class_id)
-
-    table_objects = []
-    for bbox, score, label in zip(bboxes, scores, labels):
-        table_objects.append({'bbox': bbox, 'score': score, 'label': label})
-    # print('table_objects:', table_objects)
-
-    table = {'objects': table_objects, 'page_num': 0}
-
-    table_class_objects = [obj for obj in table_objects if obj['label'] == structure_class_map['table']]
-    if len(table_class_objects) > 1:
-        table_class_objects = sorted(table_class_objects, key=lambda x: x['score'], reverse=True)
-    try:
-        table_bbox = list(table_class_objects[0]['bbox'])
-    except:
-        table_bbox = (0, 0, 1000, 1000)
-    # print('table_class_objects:', table_class_objects)
-    # print('table_bbox:', table_bbox)
-
-    tmp = Rect(table_bbox)
-    for obj in table_objects:
-        if structure_class_names[obj['label']] in ('table column', 'table row'):
-            if postprocess.iob(obj['bbox'], table_bbox) >= 0.001:
-                tmp.include_rect(obj['bbox'])
-    table_bbox = (tmp[0], tmp[1], tmp[2], tmp[3])
-
-    tokens_in_table = [token for token in page_tokens if postprocess.iob(token['bbox'], table_bbox) >= 0.001]
-    # print('tokens_in_table:', tokens_in_table)
-
-    table_structures, cells, confidence_score = postprocess.objects_to_cells(table, table_objects, tokens_in_table, structure_class_names, structure_class_thresholds)
-
-    return table_structures, cells, confidence_score
-
-
-def visualize_image(pil_img):
-    plt.imshow(pil_img, interpolation='lanczos')
-    plt.gcf().set_size_inches(10, 10)
-    plt.axis('off')
-    img_buf = io.BytesIO()
-    plt.savefig(img_buf, bbox_inches='tight', dpi=150)
-    plt.close()
-    return PIL.Image.open(img_buf)
-
-
-def visualize_ocr(pil_img, ocr_result):
-    plt.imshow(pil_img, interpolation='lanczos')
-    plt.gcf().set_size_inches(20, 20)
-    ax = plt.gca()
-
-    for idx, result in enumerate(ocr_result):
-        bbox = result['bbox']
-        text = result['text']
-        rect = patches.Rectangle(bbox[:2], bbox[2]-bbox[0], bbox[3]-bbox[1], linewidth=2, edgecolor='red', facecolor='none', linestyle='-')
-        ax.add_patch(rect)
-        ax.text(bbox[0], bbox[1], text, horizontalalignment='left', verticalalignment='bottom', color='blue', fontsize=7)
-
-    plt.xticks([], [])
-    plt.yticks([], [])
-
-    plt.gcf().set_size_inches(10, 10)
-    plt.axis('off')
-    img_buf = io.BytesIO()
-    plt.savefig(img_buf, bbox_inches='tight', dpi=150)
-    plt.close()
-
-    return PIL.Image.open(img_buf)
-
-
-def get_bbox_decorations(data_type, label):
-    if label == 0:
-        if data_type == 'detection':
-            return 'brown', 0.05, 3, '//'
-        else:
-            return 'brown', 0, 3, None
-    elif label == 1:
-        return 'red', 0.15, 2, None
-    elif label == 2:
-        return 'blue', 0.15, 2, None
-    elif label == 3:
-        return 'magenta', 0.2, 3, '//'
-    elif label == 4:
-        return 'cyan', 0.2, 4, '//'
-    elif label == 5:
-        return 'green', 0.2, 4, '\\\\'
-
-    return 'gray', 0, 0, None
-
-
-def visualize_structure(pil_img, structure_result):
-    image = PIL_to_cv(pil_img)
-    width = image.shape[1]
-    height = image.shape[0]
-    # print(width, height)
-
-    plt.imshow(pil_img, interpolation='lanczos')
-    plt.gcf().set_size_inches(20, 20)
-    ax = plt.gca()
-
-    for idx, result in enumerate(structure_result):
-        class_id = int(result[5])
-        score = float(result[4])
-        min_x = result[0]
-        min_y = result[1]
-        w = result[2]
-        h = result[3]
-
-        if score < structure_class_thresholds[structure_class_names[class_id]]:
-            continue
-
-        x1 = int((min_x - w / 2) * width)
-        y1 = int((min_y - h / 2) * height)
-        x2 = int((min_x + w / 2) * width)
-        y2 = int((min_y + h / 2) * height)
-        # print(x1, y1, x2, y2)
-        bbox = [x1, y1, x2, y2]
-
-        color, alpha, linewidth, hatch = get_bbox_decorations('recognition', class_id)
-        # Fill
-        rect = patches.Rectangle(bbox[:2], bbox[2]-bbox[0], bbox[3]-bbox[1],
-                                    linewidth=linewidth, alpha=alpha,
-                                    edgecolor='none',facecolor=color,
-                                    linestyle=None)
-        ax.add_patch(rect)
-        # Hatch
-        rect = patches.Rectangle(bbox[:2], bbox[2]-bbox[0], bbox[3]-bbox[1],
-                                    linewidth=1, alpha=0.4,
-                                    edgecolor=color, facecolor='none',
-                                    linestyle='--',hatch=hatch)
-        ax.add_patch(rect)
-        # Edge
-        rect = patches.Rectangle(bbox[:2], bbox[2]-bbox[0], bbox[3]-bbox[1],
-                                    linewidth=linewidth,
-                                    edgecolor=color, facecolor='none',
-                                    linestyle='--')
-        ax.add_patch(rect)
-
-    plt.xticks([], [])
-    plt.yticks([], [])
-
-    legend_elements = []
-    for class_name in structure_class_names[:-1]:
-        color, alpha, linewidth, hatch = get_bbox_decorations('recognition', structure_class_map[class_name])
-        legend_elements.append(
-            Patch(facecolor='none', edgecolor=color, linestyle='--', label=class_name, hatch=hatch)
-        )
-
-    plt.legend(handles=legend_elements, bbox_to_anchor=(0.5, -0.02), loc='upper center', borderaxespad=0,
-                    fontsize=10, ncol=3)
-    plt.gcf().set_size_inches(10, 10)
-    plt.axis('off')
-    img_buf = io.BytesIO()
-    plt.savefig(img_buf, bbox_inches='tight', dpi=150)
-    plt.close()
-
-    return PIL.Image.open(img_buf)
-
-
-def visualize_cells(pil_img, cells):
-    plt.imshow(pil_img, interpolation='lanczos')
-    plt.gcf().set_size_inches(20, 20)
-    ax = plt.gca()
-
-    for cell in cells:
-        bbox = cell['bbox']
-
-        if cell['header']:
-            facecolor = (1, 0, 0.45)
-            edgecolor = (1, 0, 0.45)
-            alpha = 0.3
-            linewidth = 2
-            hatch='//////'
-        elif cell['subheader']:
-            facecolor = (0.95, 0.6, 0.1)
-            edgecolor = (0.95, 0.6, 0.1)
-            alpha = 0.3
-            linewidth = 2
-            hatch='//////'
-        else:
-            facecolor = (0.3, 0.74, 0.8)
-            edgecolor = (0.3, 0.7, 0.6)
-            alpha = 0.3
-            linewidth = 2
-            hatch='\\\\\\\\\\\\'
-
-        rect = patches.Rectangle(bbox[:2], bbox[2]-bbox[0], bbox[3]-bbox[1], linewidth=linewidth,
-                                    edgecolor='none',facecolor=facecolor, alpha=0.1)
-        ax.add_patch(rect)
-        rect = patches.Rectangle(bbox[:2], bbox[2]-bbox[0], bbox[3]-bbox[1], linewidth=linewidth,
-                                    edgecolor=edgecolor,facecolor='none',linestyle='-', alpha=alpha)
-        ax.add_patch(rect)
-        rect = patches.Rectangle(bbox[:2], bbox[2]-bbox[0], bbox[3]-bbox[1], linewidth=0,
-                                    edgecolor=edgecolor,facecolor='none',linestyle='-', hatch=hatch, alpha=0.2)
-        ax.add_patch(rect)
-
-    plt.xticks([], [])
-    plt.yticks([], [])
-
-    legend_elements = [Patch(facecolor=(0.3, 0.74, 0.8), edgecolor=(0.3, 0.7, 0.6),
-                                label='Data cell', hatch='\\\\\\\\\\\\', alpha=0.3),
-                        Patch(facecolor=(1, 0, 0.45), edgecolor=(1, 0, 0.45),
-                                label='Column header cell', hatch='//////', alpha=0.3),
-                        Patch(facecolor=(0.95, 0.6, 0.1), edgecolor=(0.95, 0.6, 0.1),
-                                label='Projected row header cell', hatch='//////', alpha=0.3)]
-    plt.legend(handles=legend_elements, bbox_to_anchor=(0.5, -0.02), loc='upper center', borderaxespad=0,
-                    fontsize=10, ncol=3)
-    plt.gcf().set_size_inches(10, 10)
-    plt.axis('off')
-    img_buf = io.BytesIO()
-    plt.savefig(img_buf, bbox_inches='tight', dpi=150)
-    plt.close()
-
-    return PIL.Image.open(img_buf)
-
-
-# def pytess(cell_pil_img):
-#     return ' '.join(pytesseract.image_to_data(cell_pil_img, output_type=Output.DICT, config='-c tessedit_char_blacklist=œ˜â€œï¬â™Ã©œ¢!|”?«“¥ --tessdata-dir tessdata --oem 3 --psm 6')['text']).strip()
-
-
-# def resize(pil_img, size=1800):
-#     length_x, width_y = pil_img.size
-#     factor = max(1, size / length_x)
-#     size = int(factor * length_x), int(factor * width_y)
-#     pil_img = pil_img.resize(size, PIL.Image.ANTIALIAS)
-#     return pil_img, factor
-
-
-# def image_smoothening(img):
-#     ret1, th1 = cv2.threshold(img, 180, 255, cv2.THRESH_BINARY)
-#     ret2, th2 = cv2.threshold(th1, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
-#     blur = cv2.GaussianBlur(th2, (1, 1), 0)
-#     ret3, th3 = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
-#     return th3
-
-
-# def remove_noise_and_smooth(pil_img):
-#     img = cv2.cvtColor(np.array(pil_img), cv2.COLOR_RGB2GRAY)
-#     filtered = cv2.adaptiveThreshold(img.astype(np.uint8), 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 41, 3)
-#     kernel = np.ones((1, 1), np.uint8)
-#     opening = cv2.morphologyEx(filtered, cv2.MORPH_OPEN, kernel)
-#     closing = cv2.morphologyEx(opening, cv2.MORPH_CLOSE, kernel)
-#     img = image_smoothening(img)
-#     or_image = cv2.bitwise_or(img, closing)
-#     pil_img = PIL.Image.fromarray(or_image)
-#     return pil_img
-
-
-# def extract_text_from_cells(pil_img, cells):
-#     pil_img, factor = resize(pil_img)
-#     #pil_img = remove_noise_and_smooth(pil_img)
-#     #display(pil_img)
-#     for cell in cells:
-#         bbox = [x * factor for x in cell['bbox']]
-#         cell_pil_img = pil_img.crop(bbox)
-#         #cell_pil_img = remove_noise_and_smooth(cell_pil_img)
-#         #cell_pil_img = tess_prep(cell_pil_img)
-#         cell['cell text'] = pytess(cell_pil_img)
-#     return cells
-
-
-def extract_text_from_cells(cells, sep=' '):
-    for cell in cells:
-        spans = cell['spans']
-        text = ''
-        for span in spans:
-            if 'text' in span:
-                text += span['text'] + sep
-        cell['cell_text'] = text
-    return cells
-
-
-def cells_to_csv(cells):
-    if len(cells) > 0:
-        num_columns = max([max(cell['column_nums']) for cell in cells]) + 1
-        num_rows = max([max(cell['row_nums']) for cell in cells]) + 1
-    else:
-        return
-
-    header_cells = [cell for cell in cells if cell['header']]
-    if len(header_cells) > 0:
-        max_header_row = max([max(cell['row_nums']) for cell in header_cells])
-    else:
-        max_header_row = -1
-
-    table_array = np.empty([num_rows, num_columns], dtype='object')
-    if len(cells) > 0:
-        for cell in cells:
-            for row_num in cell['row_nums']:
-                for column_num in cell['column_nums']:
-                    table_array[row_num, column_num] = cell['cell_text']
-
-    header = table_array[:max_header_row+1,:]
-    flattened_header = []
-    for col in header.transpose():
-        flattened_header.append(' | '.join(OrderedDict.fromkeys(col)))
-    df = pd.DataFrame(table_array[max_header_row+1:,:], index=None, columns=flattened_header)
-
-    return df, df.to_csv(index=None)
-
-
-def cells_to_html(cells):
-    cells = sorted(cells, key=lambda k: min(k['column_nums']))
-    cells = sorted(cells, key=lambda k: min(k['row_nums']))
-
-    table = ET.Element('table')
-    current_row = -1
-
-    for cell in cells:
-        this_row = min(cell['row_nums'])
-
-        attrib = {}
-        colspan = len(cell['column_nums'])
-        if colspan > 1:
-            attrib['colspan'] = str(colspan)
-        rowspan = len(cell['row_nums'])
-        if rowspan > 1:
-            attrib['rowspan'] = str(rowspan)
-        if this_row > current_row:
-            current_row = this_row
-            if cell['header']:
-                cell_tag = 'th'
-                row = ET.SubElement(table, 'tr')
-            else:
-                cell_tag = 'td'
-                row = ET.SubElement(table, 'tr')
-        tcell = ET.SubElement(row, cell_tag, attrib=attrib)
-        tcell.text = cell['cell_text']
-
-    return str(ET.tostring(table, encoding='unicode', short_empty_elements=False))
-
-
-# def cells_to_html(cells):
-#     for cell in cells:
-#         cell['column_nums'].sort()
-#         cell['row_nums'].sort()
-#     n_cols = max(cell['column_nums'][-1] for cell in cells) + 1
-#     n_rows = max(cell['row_nums'][-1] for cell in cells) + 1
-#     html_code = ''
-#     for r in range(n_rows):
-#         r_cells = [cell for cell in cells if cell['row_nums'][0] == r]
-#         r_cells.sort(key=lambda x: x['column_nums'][0])
-#         r_html = ''
-#         for cell in r_cells:
-#             rowspan = cell['row_nums'][-1] - cell['row_nums'][0] + 1
-#             colspan = cell['column_nums'][-1] - cell['column_nums'][0] + 1
-#             r_html += f'<td rowspan='{rowspan}' colspan='{colspan}'>{escape(cell['text'])}</td>'
-#         html_code += f'<tr>{r_html}</tr>'
-#     html_code = '''<html>
-#                    <head>
-#                    <meta charset='UTF-8'>
-#                    <style>
-#                    table, th, td {
-#                      border: 1px solid black;
-#                      font-size: 10px;
-#                    }
-#                    </style>
-#                    </head>
-#                    <body>
-#                    <table frame='hsides' rules='groups' width='100%%'>
-#                      %s
-#                    </table>
-#                    </body>
-#                    </html>''' % html_code
-#     soup = bs(html_code)
-#     html_code = soup.prettify()
-#     return html_code
-
-
-def cells_to_excel(cells, file_path):
-
-    def int2xlsx(i):
-        if i < 26:
-            return chr(i + 65)
-        return f'{chr(i // 26 + 64)}{chr(i % 26 + 65)}'
-
-    cells = sorted(cells, key=lambda k: min(k['column_nums']))
-    cells = sorted(cells, key=lambda k: min(k['row_nums']))
-
-    workbook = xlsxwriter.Workbook(file_path)
-
-    cell_format = workbook.add_format(
-        {'align': 'center', 'valign': 'vcenter'}
-    )
-
-    worksheet = workbook.add_worksheet(name='Table')
-
-    table_start_index = 0
-
-    for cell in cells:
-        start_row = min(cell['row_nums'])
-        end_row = max(cell['row_nums'])
-        start_col = min(cell['column_nums'])
-        end_col = max(cell['column_nums'])
-        if start_row == end_row and start_col == end_col:
-            worksheet.write(
-                table_start_index + start_row,
-                start_col,
-                cell['cell_text'],
-                cell_format,
-            )
-        else:
-            if start_col == end_col and start_row == end_row:
-                excel_index = f'{int2xlsx(table_start_index + start_col)}{table_start_index + start_row + 1}'
-            else:
-                excel_index = f'{int2xlsx(table_start_index + start_col)}{table_start_index + start_row + 1}:{int2xlsx(table_start_index + end_col)}{table_start_index + end_row + 1}'
-            worksheet.merge_range(
-                excel_index, cell['cell_text'], cell_format
-            )
-
-    workbook.close()
-
-
-def main():
-
-    st.title('Table Extraction Demo')
-
-    filename = st.file_uploader('Upload image', type=['png', 'jpeg', 'jpg'])
-
-    if st.button('Analyze image'):
-
-        if filename is None:
-            st.write('Please upload an image')
-
-        else:
-            tabs = st.tabs(
-                ['Table Detection', 'Table Structure Recognition', 'Extracted Table(s)']
-            )
-
-            print(filename)
-            pil_img = PIL.Image.open(filename)
-
-            detection_result = table_detection(pil_img)
-            crop_images, vis_det_img = crop_image(pil_img, detection_result)
-
-            all_cells = []
-
-            with tabs[0]:
-                st.header('Table Detection')
-                st.image(vis_det_img)
-
-            with tabs[1]:
-                st.header('Table Structure Recognition')
-
-                str_cols = st.columns(4)
-                str_cols[0].subheader('Table image')
-                str_cols[1].subheader('OCR result')
-                str_cols[2].subheader('Structure result')
-                str_cols[3].subheader('Cells result')
-
-                for idx, img in enumerate(crop_images):
-                    str_cols = st.columns(4)
-
-                    vis_img = visualize_image(img)
-                    str_cols[0].image(vis_img)
-
-                    ocr_result = ocr(img)
-                    vis_ocr_img = visualize_ocr(img, ocr_result)
-                    str_cols[1].image(vis_ocr_img)
-
-                    structure_result = table_structure(img)
-                    vis_str_img = visualize_structure(img, structure_result)
-                    str_cols[2].image(vis_str_img)
-
-                    table_structures, cells, confidence_score = convert_stucture(ocr_result, img, structure_result)
-                    cells = extract_text_from_cells(cells)
-                    vis_cells_img = visualize_cells(img, cells)
-                    str_cols[3].image(vis_cells_img)
-
-                    all_cells.append(cells)
-
-                    #df, csv_result = cells_to_csv(cells)
-                    #print(df)
-
-            with tabs[2]:
-                st.header('Extracted Table(s)')
-                for idx, col in enumerate(st.columns(len(all_cells))):
-                    with col:
-                        if len(all_cells) > 1:
-                            st.header(f'Table {idx + 1}')
-
-                        with TemporaryDirectory() as temp_dir_path:
-                            df = None
-                            xlsx_path = os.path.join(temp_dir_path, f'debug_{idx}.xlsx')
-                            cells_to_excel(all_cells[idx], xlsx_path)
-                            with open(xlsx_path, 'rb') as ref:
-                                df = pd.read_excel(ref)
-                                st.dataframe(df)
-                                st.download_button(
-                                    'Download Excel File',
-                                    ref,
-                                    file_name=f'output_{idx}.xlsx',
-                                )
-
-                for idx, cells in enumerate(all_cells):
-                    html_result = cells_to_html(cells)
-                    st.subheader(f'HTML Table {idx + 1}')
-                    st.markdown(html_result, unsafe_allow_html=True)
-
-
-if __name__ == '__main__':
-    main()
diff --git a/spaces/banana-projects/web3d/node_modules/three/examples/js/libs/tween.min.js b/spaces/banana-projects/web3d/node_modules/three/examples/js/libs/tween.min.js
deleted file mode 100644
index 90a4463e47a4ce06aaf895ce03d2ea2202209263..0000000000000000000000000000000000000000
--- a/spaces/banana-projects/web3d/node_modules/three/examples/js/libs/tween.min.js
+++ /dev/null
@@ -1,13 +0,0 @@
-// tween.js - http://github.com/sole/tween.js
-'use strict';var TWEEN=TWEEN||function(){var a=[];return{REVISION:"7",getAll:function(){return a},removeAll:function(){a=[]},add:function(c){a.push(c)},remove:function(c){c=a.indexOf(c);-1!==c&&a.splice(c,1)},update:function(c){if(0===a.length)return!1;for(var b=0,d=a.length,c=void 0!==c?c:Date.now();b<d;)a[b].update(c)?b++:(a.splice(b,1),d--);return!0}}}();
-TWEEN.Tween=function(a){var c={},b={},d=1E3,e=0,f=null,h=TWEEN.Easing.Linear.None,r=TWEEN.Interpolation.Linear,k=[],l=null,m=!1,n=null,p=null;this.to=function(a,c){null!==c&&(d=c);b=a;return this};this.start=function(d){TWEEN.add(this);m=!1;f=void 0!==d?d:Date.now();f+=e;for(var g in b)if(null!==a[g]){if(b[g]instanceof Array){if(0===b[g].length)continue;b[g]=[a[g]].concat(b[g])}c[g]=a[g]}return this};this.stop=function(){TWEEN.remove(this);return this};this.delay=function(a){e=a;return this};this.easing=
-function(a){h=a;return this};this.interpolation=function(a){r=a;return this};this.chain=function(){k=arguments;return this};this.onStart=function(a){l=a;return this};this.onUpdate=function(a){n=a;return this};this.onComplete=function(a){p=a;return this};this.update=function(e){if(e<f)return!0;!1===m&&(null!==l&&l.call(a),m=!0);var g=(e-f)/d,g=1<g?1:g,i=h(g),j;for(j in c){var s=c[j],q=b[j];a[j]=q instanceof Array?r(q,i):s+(q-s)*i}null!==n&&n.call(a,i);if(1==g){null!==p&&p.call(a);g=0;for(i=k.length;g<
-i;g++)k[g].start(e);return!1}return!0}};
-TWEEN.Easing={Linear:{None:function(a){return a}},Quadratic:{In:function(a){return a*a},Out:function(a){return a*(2-a)},InOut:function(a){return 1>(a*=2)?0.5*a*a:-0.5*(--a*(a-2)-1)}},Cubic:{In:function(a){return a*a*a},Out:function(a){return--a*a*a+1},InOut:function(a){return 1>(a*=2)?0.5*a*a*a:0.5*((a-=2)*a*a+2)}},Quartic:{In:function(a){return a*a*a*a},Out:function(a){return 1- --a*a*a*a},InOut:function(a){return 1>(a*=2)?0.5*a*a*a*a:-0.5*((a-=2)*a*a*a-2)}},Quintic:{In:function(a){return a*a*a*
-a*a},Out:function(a){return--a*a*a*a*a+1},InOut:function(a){return 1>(a*=2)?0.5*a*a*a*a*a:0.5*((a-=2)*a*a*a*a+2)}},Sinusoidal:{In:function(a){return 1-Math.cos(a*Math.PI/2)},Out:function(a){return Math.sin(a*Math.PI/2)},InOut:function(a){return 0.5*(1-Math.cos(Math.PI*a))}},Exponential:{In:function(a){return 0===a?0:Math.pow(1024,a-1)},Out:function(a){return 1===a?1:1-Math.pow(2,-10*a)},InOut:function(a){return 0===a?0:1===a?1:1>(a*=2)?0.5*Math.pow(1024,a-1):0.5*(-Math.pow(2,-10*(a-1))+2)}},Circular:{In:function(a){return 1-
-Math.sqrt(1-a*a)},Out:function(a){return Math.sqrt(1- --a*a)},InOut:function(a){return 1>(a*=2)?-0.5*(Math.sqrt(1-a*a)-1):0.5*(Math.sqrt(1-(a-=2)*a)+1)}},Elastic:{In:function(a){var c,b=0.1;if(0===a)return 0;if(1===a)return 1;!b||1>b?(b=1,c=0.1):c=0.4*Math.asin(1/b)/(2*Math.PI);return-(b*Math.pow(2,10*(a-=1))*Math.sin((a-c)*2*Math.PI/0.4))},Out:function(a){var c,b=0.1;if(0===a)return 0;if(1===a)return 1;!b||1>b?(b=1,c=0.1):c=0.4*Math.asin(1/b)/(2*Math.PI);return b*Math.pow(2,-10*a)*Math.sin((a-c)*
-2*Math.PI/0.4)+1},InOut:function(a){var c,b=0.1;if(0===a)return 0;if(1===a)return 1;!b||1>b?(b=1,c=0.1):c=0.4*Math.asin(1/b)/(2*Math.PI);return 1>(a*=2)?-0.5*b*Math.pow(2,10*(a-=1))*Math.sin((a-c)*2*Math.PI/0.4):0.5*b*Math.pow(2,-10*(a-=1))*Math.sin((a-c)*2*Math.PI/0.4)+1}},Back:{In:function(a){return a*a*(2.70158*a-1.70158)},Out:function(a){return--a*a*(2.70158*a+1.70158)+1},InOut:function(a){return 1>(a*=2)?0.5*a*a*(3.5949095*a-2.5949095):0.5*((a-=2)*a*(3.5949095*a+2.5949095)+2)}},Bounce:{In:function(a){return 1-
-TWEEN.Easing.Bounce.Out(1-a)},Out:function(a){return a<1/2.75?7.5625*a*a:a<2/2.75?7.5625*(a-=1.5/2.75)*a+0.75:a<2.5/2.75?7.5625*(a-=2.25/2.75)*a+0.9375:7.5625*(a-=2.625/2.75)*a+0.984375},InOut:function(a){return 0.5>a?0.5*TWEEN.Easing.Bounce.In(2*a):0.5*TWEEN.Easing.Bounce.Out(2*a-1)+0.5}}};
-TWEEN.Interpolation={Linear:function(a,c){var b=a.length-1,d=b*c,e=Math.floor(d),f=TWEEN.Interpolation.Utils.Linear;return 0>c?f(a[0],a[1],d):1<c?f(a[b],a[b-1],b-d):f(a[e],a[e+1>b?b:e+1],d-e)},Bezier:function(a,c){var b=0,d=a.length-1,e=Math.pow,f=TWEEN.Interpolation.Utils.Bernstein,h;for(h=0;h<=d;h++)b+=e(1-c,d-h)*e(c,h)*a[h]*f(d,h);return b},CatmullRom:function(a,c){var b=a.length-1,d=b*c,e=Math.floor(d),f=TWEEN.Interpolation.Utils.CatmullRom;return a[0]===a[b]?(0>c&&(e=Math.floor(d=b*(1+c))),f(a[(e-
-1+b)%b],a[e],a[(e+1)%b],a[(e+2)%b],d-e)):0>c?a[0]-(f(a[0],a[0],a[1],a[1],-d)-a[0]):1<c?a[b]-(f(a[b],a[b],a[b-1],a[b-1],d-b)-a[b]):f(a[e?e-1:0],a[e],a[b<e+1?b:e+1],a[b<e+2?b:e+2],d-e)},Utils:{Linear:function(a,c,b){return(c-a)*b+a},Bernstein:function(a,c){var b=TWEEN.Interpolation.Utils.Factorial;return b(a)/b(c)/b(a-c)},Factorial:function(){var a=[1];return function(c){var b=1,d;if(a[c])return a[c];for(d=c;1<d;d--)b*=d;return a[c]=b}}(),CatmullRom:function(a,c,b,d,e){var a=0.5*(b-a),d=0.5*(d-c),f=
-e*e;return(2*c-2*b+a+d)*e*f+(-3*c+3*b-2*a-d)*f+a*e+c}}};
diff --git a/spaces/banana-projects/web3d/node_modules/three/src/loaders/MaterialLoader.js b/spaces/banana-projects/web3d/node_modules/three/src/loaders/MaterialLoader.js
deleted file mode 100644
index 41dba88645888eeee2484e969638dd3b32b17d1c..0000000000000000000000000000000000000000
--- a/spaces/banana-projects/web3d/node_modules/three/src/loaders/MaterialLoader.js
+++ /dev/null
@@ -1,250 +0,0 @@
-import { Color } from '../math/Color.js';
-import { Vector2 } from '../math/Vector2.js';
-import { Vector3 } from '../math/Vector3.js';
-import { Vector4 } from '../math/Vector4.js';
-import { Matrix3 } from '../math/Matrix3.js';
-import { Matrix4 } from '../math/Matrix4.js';
-import { FileLoader } from './FileLoader.js';
-import { DefaultLoadingManager } from './LoadingManager.js';
-import * as Materials from '../materials/Materials.js';
-
-/**
- * @author mrdoob / http://mrdoob.com/
- */
-
-function MaterialLoader( manager ) {
-
-	this.manager = ( manager !== undefined ) ? manager : DefaultLoadingManager;
-	this.textures = {};
-
-}
-
-Object.assign( MaterialLoader.prototype, {
-
-	load: function ( url, onLoad, onProgress, onError ) {
-
-		var scope = this;
-
-		var loader = new FileLoader( scope.manager );
-		loader.setPath( scope.path );
-		loader.load( url, function ( text ) {
-
-			onLoad( scope.parse( JSON.parse( text ) ) );
-
-		}, onProgress, onError );
-
-	},
-
-	parse: function ( json ) {
-
-		var textures = this.textures;
-
-		function getTexture( name ) {
-
-			if ( textures[ name ] === undefined ) {
-
-				console.warn( 'THREE.MaterialLoader: Undefined texture', name );
-
-			}
-
-			return textures[ name ];
-
-		}
-
-		var material = new Materials[ json.type ]();
-
-		if ( json.uuid !== undefined ) material.uuid = json.uuid;
-		if ( json.name !== undefined ) material.name = json.name;
-		if ( json.color !== undefined ) material.color.setHex( json.color );
-		if ( json.roughness !== undefined ) material.roughness = json.roughness;
-		if ( json.metalness !== undefined ) material.metalness = json.metalness;
-		if ( json.emissive !== undefined ) material.emissive.setHex( json.emissive );
-		if ( json.specular !== undefined ) material.specular.setHex( json.specular );
-		if ( json.shininess !== undefined ) material.shininess = json.shininess;
-		if ( json.clearCoat !== undefined ) material.clearCoat = json.clearCoat;
-		if ( json.clearCoatRoughness !== undefined ) material.clearCoatRoughness = json.clearCoatRoughness;
-		if ( json.vertexColors !== undefined ) material.vertexColors = json.vertexColors;
-		if ( json.fog !== undefined ) material.fog = json.fog;
-		if ( json.flatShading !== undefined ) material.flatShading = json.flatShading;
-		if ( json.blending !== undefined ) material.blending = json.blending;
-		if ( json.combine !== undefined ) material.combine = json.combine;
-		if ( json.side !== undefined ) material.side = json.side;
-		if ( json.opacity !== undefined ) material.opacity = json.opacity;
-		if ( json.transparent !== undefined ) material.transparent = json.transparent;
-		if ( json.alphaTest !== undefined ) material.alphaTest = json.alphaTest;
-		if ( json.depthTest !== undefined ) material.depthTest = json.depthTest;
-		if ( json.depthWrite !== undefined ) material.depthWrite = json.depthWrite;
-		if ( json.colorWrite !== undefined ) material.colorWrite = json.colorWrite;
-		if ( json.wireframe !== undefined ) material.wireframe = json.wireframe;
-		if ( json.wireframeLinewidth !== undefined ) material.wireframeLinewidth = json.wireframeLinewidth;
-		if ( json.wireframeLinecap !== undefined ) material.wireframeLinecap = json.wireframeLinecap;
-		if ( json.wireframeLinejoin !== undefined ) material.wireframeLinejoin = json.wireframeLinejoin;
-
-		if ( json.rotation !== undefined ) material.rotation = json.rotation;
-
-		if ( json.linewidth !== 1 ) material.linewidth = json.linewidth;
-		if ( json.dashSize !== undefined ) material.dashSize = json.dashSize;
-		if ( json.gapSize !== undefined ) material.gapSize = json.gapSize;
-		if ( json.scale !== undefined ) material.scale = json.scale;
-
-		if ( json.polygonOffset !== undefined ) material.polygonOffset = json.polygonOffset;
-		if ( json.polygonOffsetFactor !== undefined ) material.polygonOffsetFactor = json.polygonOffsetFactor;
-		if ( json.polygonOffsetUnits !== undefined ) material.polygonOffsetUnits = json.polygonOffsetUnits;
-
-		if ( json.skinning !== undefined ) material.skinning = json.skinning;
-		if ( json.morphTargets !== undefined ) material.morphTargets = json.morphTargets;
-		if ( json.dithering !== undefined ) material.dithering = json.dithering;
-
-		if ( json.visible !== undefined ) material.visible = json.visible;
-		if ( json.userData !== undefined ) material.userData = json.userData;
-
-		// Shader Material
-
-		if ( json.uniforms !== undefined ) {
-
-			for ( var name in json.uniforms ) {
-
-				var uniform = json.uniforms[ name ];
-
-				material.uniforms[ name ] = {};
-
-				switch ( uniform.type ) {
-
-					case 't':
-						material.uniforms[ name ].value = getTexture( uniform.value );
-						break;
-
-					case 'c':
-						material.uniforms[ name ].value = new Color().setHex( uniform.value );
-						break;
-
-					case 'v2':
-						material.uniforms[ name ].value = new Vector2().fromArray( uniform.value );
-						break;
-
-					case 'v3':
-						material.uniforms[ name ].value = new Vector3().fromArray( uniform.value );
-						break;
-
-					case 'v4':
-						material.uniforms[ name ].value = new Vector4().fromArray( uniform.value );
-						break;
-
-					case 'm3':
-						material.uniforms[ name ].value = new Matrix3().fromArray( uniform.value );
-
-					case 'm4':
-						material.uniforms[ name ].value = new Matrix4().fromArray( uniform.value );
-						break;
-
-					default:
-						material.uniforms[ name ].value = uniform.value;
-
-				}
-
-			}
-
-		}
-
-		if ( json.defines !== undefined ) material.defines = json.defines;
-		if ( json.vertexShader !== undefined ) material.vertexShader = json.vertexShader;
-		if ( json.fragmentShader !== undefined ) material.fragmentShader = json.fragmentShader;
-
-		if ( json.extensions !== undefined ) {
-
-			for ( var key in json.extensions ) {
-
-				material.extensions[ key ] = json.extensions[ key ];
-
-			}
-
-		}
-
-		// Deprecated
-
-		if ( json.shading !== undefined ) material.flatShading = json.shading === 1; // THREE.FlatShading
-
-		// for PointsMaterial
-
-		if ( json.size !== undefined ) material.size = json.size;
-		if ( json.sizeAttenuation !== undefined ) material.sizeAttenuation = json.sizeAttenuation;
-
-		// maps
-
-		if ( json.map !== undefined ) material.map = getTexture( json.map );
-
-		if ( json.alphaMap !== undefined ) {
-
-			material.alphaMap = getTexture( json.alphaMap );
-			material.transparent = true;
-
-		}
-
-		if ( json.bumpMap !== undefined ) material.bumpMap = getTexture( json.bumpMap );
-		if ( json.bumpScale !== undefined ) material.bumpScale = json.bumpScale;
-
-		if ( json.normalMap !== undefined ) material.normalMap = getTexture( json.normalMap );
-		if ( json.normalMapType !== undefined ) material.normalMapType = json.normalMapType;
-		if ( json.normalScale !== undefined ) {
-
-			var normalScale = json.normalScale;
-
-			if ( Array.isArray( normalScale ) === false ) {
-
-				// Blender exporter used to export a scalar. See #7459
-
-				normalScale = [ normalScale, normalScale ];
-
-			}
-
-			material.normalScale = new Vector2().fromArray( normalScale );
-
-		}
-
-		if ( json.displacementMap !== undefined ) material.displacementMap = getTexture( json.displacementMap );
-		if ( json.displacementScale !== undefined ) material.displacementScale = json.displacementScale;
-		if ( json.displacementBias !== undefined ) material.displacementBias = json.displacementBias;
-
-		if ( json.roughnessMap !== undefined ) material.roughnessMap = getTexture( json.roughnessMap );
-		if ( json.metalnessMap !== undefined ) material.metalnessMap = getTexture( json.metalnessMap );
-
-		if ( json.emissiveMap !== undefined ) material.emissiveMap = getTexture( json.emissiveMap );
-		if ( json.emissiveIntensity !== undefined ) material.emissiveIntensity = json.emissiveIntensity;
-
-		if ( json.specularMap !== undefined ) material.specularMap = getTexture( json.specularMap );
-
-		if ( json.envMap !== undefined ) material.envMap = getTexture( json.envMap );
-		if ( json.envMapIntensity !== undefined ) material.envMapIntensity = json.envMapIntensity;
-
-		if ( json.reflectivity !== undefined ) material.reflectivity = json.reflectivity;
-
-		if ( json.lightMap !== undefined ) material.lightMap = getTexture( json.lightMap );
-		if ( json.lightMapIntensity !== undefined ) material.lightMapIntensity = json.lightMapIntensity;
-
-		if ( json.aoMap !== undefined ) material.aoMap = getTexture( json.aoMap );
-		if ( json.aoMapIntensity !== undefined ) material.aoMapIntensity = json.aoMapIntensity;
-
-		if ( json.gradientMap !== undefined ) material.gradientMap = getTexture( json.gradientMap );
-
-		return material;
-
-	},
-
-	setPath: function ( value ) {
-
-		this.path = value;
-		return this;
-
-	},
-
-	setTextures: function ( value ) {
-
-		this.textures = value;
-		return this;
-
-	}
-
-} );
-
-
-export { MaterialLoader };
diff --git a/spaces/banana-projects/web3d/node_modules/three/src/materials/MeshNormalMaterial.d.ts b/spaces/banana-projects/web3d/node_modules/three/src/materials/MeshNormalMaterial.d.ts
deleted file mode 100644
index 203478320a19bd8b604bdead32351353f1bb0ba9..0000000000000000000000000000000000000000
--- a/spaces/banana-projects/web3d/node_modules/three/src/materials/MeshNormalMaterial.d.ts
+++ /dev/null
@@ -1,19 +0,0 @@
-import { MaterialParameters, Material } from './Material';
-
-export interface MeshNormalMaterialParameters extends MaterialParameters {
-  /** Render geometry as wireframe. Default is false (i.e. render as smooth shaded). */
-  wireframe?: boolean;
-  /** Controls wireframe thickness. Default is 1. */
-  wireframeLinewidth?: number;
-  morphTargets?: boolean;
-}
-
-export class MeshNormalMaterial extends Material {
-  constructor(parameters?: MeshNormalMaterialParameters);
-
-  wireframe: boolean;
-  wireframeLinewidth: number;
-  morphTargets: boolean;
-
-  setValues(parameters: MeshNormalMaterialParameters): void;
-}
diff --git a/spaces/bastiendechamps/geoguessr-bot/geoguessr_bot/retriever/retriever.py b/spaces/bastiendechamps/geoguessr-bot/geoguessr_bot/retriever/retriever.py
deleted file mode 100644
index c54cb945c123c4ca486ccfc3e9eb8d69f53caf2b..0000000000000000000000000000000000000000
--- a/spaces/bastiendechamps/geoguessr-bot/geoguessr_bot/retriever/retriever.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from typing import Dict, List, Tuple
-
-import numpy as np
-import faiss
-
-
-class Retriever:
-    def __init__(self, embeddings_path: str):
-        self.embeddings: Dict[str, np.ndarray] = self.load_embeddings(embeddings_path)
-
-        # Keep track of image names
-        self.image_to_index = {image_name: i for i, image_name in enumerate(self.embeddings.keys())}
-        self.index_to_image = {i: image_name for i, image_name in enumerate(self.embeddings.keys())}
-
-        # Build Faiss index
-        self.embeddings = np.array(list(self.embeddings.values()))
-        self.dim = self.embeddings.shape[1]
-        self.index = faiss.IndexFlatL2(self.dim)
-        self.index.add(self.embeddings)
-
-    @staticmethod
-    def load_embeddings(embeddings_path: str) -> Dict[str, np.ndarray]:
-        """Load embeddings from a .npy file
-        """
-        return np.load(embeddings_path, allow_pickle=True).item()
-
-    def retrieve(self, queries: np.ndarray, n_neighbors: int = 5) -> Tuple[List[List[str]], List[List[float]]]:
-        """Retrieve nearest neighbors indexes from queries
-        """
-        distances, indexes = self.index.search(queries, n_neighbors)
-        return [[self.index_to_image[i] for i in index] for index in indexes], distances
diff --git a/spaces/beihai/GFPGAN-V1.3-whole-image/.history/app_20220327013228.py b/spaces/beihai/GFPGAN-V1.3-whole-image/.history/app_20220327013228.py
deleted file mode 100644
index 3d2ed6d85dbde28e85d6d8de19a60c493da4f002..0000000000000000000000000000000000000000
--- a/spaces/beihai/GFPGAN-V1.3-whole-image/.history/app_20220327013228.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import os
-#os.system("pip install gfpgan")
-
-#os.system("pip freeze")
-#os.system("wget https://github.com/TencentARC/GFPGAN/releases/download/v0.2.0/GFPGANCleanv1-NoCE-C2.pth -P .")
-import random
-import gradio as gr
-from PIL import Image
-import torch
-# torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/a/ab/Abraham_Lincoln_O-77_matte_collodion_print.jpg/1024px-Abraham_Lincoln_O-77_matte_collodion_print.jpg', 'lincoln.jpg')
-# torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/5/50/Albert_Einstein_%28Nobel%29.png', 'einstein.png')
-# torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/9/9d/Thomas_Edison2.jpg/1024px-Thomas_Edison2.jpg', 'edison.jpg')
-# torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/a/a9/Henry_Ford_1888.jpg/1024px-Henry_Ford_1888.jpg', 'Henry.jpg')
-# torch.hub.download_url_to_file('https://upload.wikimedia.org/wikipedia/commons/thumb/0/06/Frida_Kahlo%2C_by_Guillermo_Kahlo.jpg/800px-Frida_Kahlo%2C_by_Guillermo_Kahlo.jpg', 'Frida.jpg')
-
-
-import cv2
-import glob
-import numpy as np
-from basicsr.utils import imwrite
-from gfpgan import GFPGANer
-
-import warnings
-warnings.warn('The unoptimized RealESRGAN is very slow on CPU. We do not use it. '
-              'If you really want to use it, please modify the corresponding codes.')
-bg_upsampler = None
-
-
- 
-# set up GFPGAN restorer
-restorer = GFPGANer(
-    model_path='experiments/pretrained_models/GFPGANv1.3.pth',
-    upscale=2,
-    arch='clean',
-    channel_multiplier=2,
-    bg_upsampler=bg_upsampler)
-
-
-def inference(img):
-    input_img = cv2.imread(img, cv2.IMREAD_COLOR)
-    cropped_faces, restored_faces, restored_img = restorer.enhance(
-        input_img, has_aligned=False, only_center_face=False, paste_back=True)
-    
-    #return Image.fromarray(restored_faces[0][:,:,::-1])
-    return Image.fromarray(restored_img[:, :, ::-1])
-
-title = "GFP-GAN"
-description = "Gradio demo for GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. Please click submit only once"
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2101.04061' target='_blank'>Towards Real-World Blind Face Restoration with Generative Facial Prior</a> | <a href='https://github.com/TencentARC/GFPGAN' target='_blank'>Github Repo</a></p><center><img src='https://visitor-badge.glitch.me/badge?page_id=akhaliq_GFPGAN' alt='visitor badge'></center>"
-gr.Interface(
-    inference, 
-    [gr.inputs.Image(type="filepath", label="Input")], 
-    gr.outputs.Image(type="pil", label="Output"),
-    title=title,
-    description=description,
-    article=article,
-    examples=[
-    ['lincoln.jpg'],
-    ['einstein.png'],
-    ['edison.jpg'],
-    ['Henry.jpg'],
-    ['Frida.jpg']
-    ]
-    ).launch(enable_queue=True,cache_examples=True)
-    
-    
diff --git a/spaces/bigscience/promptsource/setup.py b/spaces/bigscience/promptsource/setup.py
deleted file mode 100644
index 5c4210721188119a749d3f3212380e69af5fea6a..0000000000000000000000000000000000000000
--- a/spaces/bigscience/promptsource/setup.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from setuptools import setup, find_packages
-
-with open("README.md", "r", encoding="utf-8") as readme_file:
-    readme = readme_file.read()
-
-requirements = [
-    "black<=21.12b0",
-    "datasets>=1.7.0",
-    "flake8",
-    "isort==5.8.0",
-    "pytest",
-    "pyyaml>=5",
-    "streamlit==0.82",
-    "jinja2",
-    "plotly",
-    "requests",
-    "pandas",
-    ##############################################################
-    # Dependencies in this section are added for specific datasets
-    ##############################################################
-    "py7zr",
-    ##############################################################
-    # End of dataset-specific dependencies
-    ##############################################################
-]
-
-setup(
-    name='promptsource',
-    version='0.2.3',
-    url='https://github.com/bigscience-workshop/promptsource.git',
-    author='BigScience - Prompt Engineering Working Group',
-    author_email='sbach@cs.brown.edu,victor@huggingface.co',
-    python_requires='>=3.7,<3.10',
-    install_requires=requirements,
-    classifiers=[
-        'Development Status :: 2 - Pre-Alpha',
-        'Intended Audience :: Developers',
-        'License :: OSI Approved :: Apache Software License',
-        'Natural Language :: English',
-        'Programming Language :: Python :: 3',
-        'Programming Language :: Python :: 3.7',
-        'Programming Language :: Python :: 3.8',
-        'Programming Language :: Python :: 3.9',
-    ],
-    description='An Integrated Development Environment and Repository for Natural Language Prompts.',
-    packages=find_packages(),
-    license="Apache Software License 2.0",
-    long_description=readme,
-    long_description_content_type="text/markdown",
-    package_data={"": [
-        "templates/*/*.yaml",
-        "templates/*/*/*.yaml",
-    ]}
-)
diff --git a/spaces/bioriAsaeru/text-to-voice/8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub.md b/spaces/bioriAsaeru/text-to-voice/8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub.md
deleted file mode 100644
index 6d53e09d5cddc08c6dd1d82c96ed1db5c82d445e..0000000000000000000000000000000000000000
--- a/spaces/bioriAsaeru/text-to-voice/8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub.md	
+++ /dev/null
@@ -1,91 +0,0 @@
-<br />
-<h1>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub: A Review</h1>
-<p>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub is a file that contains a flash loader program for the Samsung GT-E2250 mobile phone. A flash loader is a software tool that allows you to flash or install a new firmware or operating system on your device. This can help you to fix some issues, improve performance, or update features on your phone.</p>
-<h2>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub</h2><br /><p><b><b>Download Zip</b> &harr; <a href="https://urloso.com/2uyQCB">https://urloso.com/2uyQCB</a></b></p><br /><br />
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-<h2>Why You Should Use 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub</h2>
-<p>There are many reasons why you should use 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub to flash your Samsung GT-E2250 phone. Here are some of them:</p>
-<ul>
-<li>The file is easy to download and use. You just need to go to the website of Android File Host and click on the download button to get the file on your computer.</li>
-<li>The file is compatible with your device model and firmware version. You don't need to worry about bricking or damaging your phone by using an incompatible file.</li>
-<li>The file is safe and reliable. The file has been tested and verified by Tsar3000 and other users who have used it successfully.</li>
-<li>The file is free and legal. You don't need to pay any fees or violate any laws by using this file.</li>
-</ul>
-<h2>How To Use 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub</h2>
-<p>Using 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub to flash your Samsung GT-E2250 phone is not very difficult, but you need to follow some steps carefully and take some precautions before doing so.</p>
-<p></p>
-<ol>
-<li>Backup your data and settings on your phone before flashing it, as flashing will erase everything on your phone.</li>
-<li>Download and install the Samsung USB drivers on your computer, if you don't have them already.</li>
-<li>Download and extract the 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub file on your computer.</li>
-<li>Turn off your phone and remove the battery.</li>
-<li>Connect your phone to your computer using a USB cable.</li>
-<li>Run the Flash Loader 7.5.4 CSC v0.3 Lite.exe file on your computer.</li>
-<li>Select the COM port that your phone is connected to and click on Next.</li>
-<li>Select the CSC folder that contains the firmware files for your phone and click on Next.</li>
-<li>Click on Start to begin the flashing process.</li>
-<li>Wait for the flashing process to complete and do not disconnect or interrupt it.</li>
-<li>When the flashing process is done, disconnect your phone from your computer and insert the battery.</li>
-<li>Turn on your phone and enjoy the new firmware or operating system on your device.</li>
-</ol>
-<p>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub is a great tool that can help you to flash your Samsung GT-E2250 phone with ease and convenience.<p>You can download this file from Android File Host and use it according to the instructions given above.<p>If you have any questions or problems with this file, you can contact Tsar3000 or other users who have used it successfully.<p>If you are looking for a way to flash your Samsung GT-E2250 phone, you should try 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.<p>Lite.epub today!</p></p></p>
-<h2>What Are The Reviews And Ratings Of 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub?</h2>
-<p>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub is a file that has received some positive reviews and ratings from users who have used it to flash their Samsung GT-E2250 phones. Here are some of them:</p>
-<ul>
-<li>One user commented on YouTube that he was able to flash his phone successfully using this file and thanked Tsar3000 for providing it.</li>
-<li>Another user rated this file 5 stars on Android File Host and said that it worked perfectly for his phone and solved his problems.</li>
-<li>A third user praised this file on Trello and said that it was easy to use and effective.</li>
-</ul>
-<p>However, not all users were satisfied with this file and some of them reported some issues or complaints. Here are some of them:</p>
-<ul>
-<li>One user complained on YouTube that he was unable to flash his phone using this file and asked for help.</li>
-<li>Another user warned on Android File Host that this file was not compatible with his phone model and caused it to brick.</li>
-<li>A third user criticized this file on Trello and said that it was outdated and buggy.</li>
-</ul>
-<p>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub is a file that has mixed reviews and ratings from users who have used it to flash their Samsung GT-E2250 phones.<p>You should check the compatibility and reliability of this file before using it on your device.<p>You should also follow the instructions carefully and backup your data before flashing your phone.</p></p>
-<h2>What Are The Alternatives And Comparisons Of 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub?</h2>
-<p>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub is a file that is designed to flash the Samsung GT-E2250 phone with a specific firmware or operating system. However, this file may not be suitable or compatible for all users or devices. Therefore, you might want to look for some alternatives or comparisons of this file before using it on your phone.</p>
-<p>Here are some of the alternatives and comparisons of 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub:</p>
-<ul>
-<li>One alternative is to use another flash loader file that is compatible with your phone model and firmware version. You can search for such files on various websites or forums that provide flash loaders and firmware files for different devices.</li>
-<li>Another alternative is to use a different tool or method to flash your phone, such as Odin, Kies, or Smart Switch. These are official tools or software from Samsung that allow you to flash or update your phone with the latest firmware or operating system.</li>
-<li>A comparison is to check the features and benefits of using 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub versus other files or tools. For example, you can compare the speed, reliability, safety, and convenience of using this file versus other options.</li>
-<li>Another comparison is to check the reviews and ratings of using 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub versus other files or tools. For example, you can read the feedback and comments of other users who have used this file or other options and see their opinions and experiences.</li>
-</ul>
-<p>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.<p>Lite.epub is a file that can help you to flash your Samsung GT-E2250 phone with ease and convenience.<p>However, you should also consider some alternatives and comparisons of this file before using it on your device.<p>You should also check the compatibility and reliability of this file before using it on your device.<p>You should also follow the instructions carefully and backup your data before flashing your phone.</p></p></p>
-<h2>How To Download And Install 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub</h2>
-<p>If you want to use 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub to flash your Samsung GT-E2250 phone, you need to download and install this file on your computer first. Here are the steps to do so:</p>
-<ol>
-<li>Go to the website of Android File Host and search for the file name 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub.</li>
-<li>Click on the download button to start downloading the file on your computer.</li>
-<li>Wait for the download to finish and locate the file on your computer.</li>
-<li>Extract the file using a tool like WinRAR or 7-Zip.</li>
-<li>You will get a folder that contains the flash loader program and the firmware files for your phone.</li>
-<li>You have successfully downloaded and installed 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.<p>Lite.epub on your computer.</p></li>
-</ol>
-<p>Now you are ready to use this file to flash your Samsung GT-E2250 phone with ease and convenience.<p>You can follow the instructions given in the previous section of this article to do so.</p>
-<h2>What Are The Advantages And Disadvantages Of 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub?</h2>
-<p>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub is a file that has some advantages and disadvantages for users who want to flash their Samsung GT-E2250 phones with a new firmware or operating system. Here are some of them:</p>
-<h3>Advantages</h3>
-<ul>
-<li>The file can help you to fix some issues or problems on your phone, such as bugs, errors, crashes, or freezes.</li>
-<li>The file can help you to improve the performance or speed of your phone, such as battery life, memory usage, or network connectivity.</li>
-<li>The file can help you to update the features or functions of your phone, such as security patches, user interface, or applications.</li>
-<li>The file can help you to customize or personalize your phone, such as changing the theme, wallpaper, or ringtone.</li>
-<li>The file can help you to unlock or root your phone, such as removing the network lock, carrier bloatware, or system restrictions.</li>
-</ul>
-<h3>Disadvantages</h3>
-<ul>
-<li>The file can cause some risks or damages to your phone, such as bricking, bootlooping, or losing warranty.</li>
-<li>The file can cause some compatibility or stability issues on your phone, such as conflicts, errors, crashes, or freezes.</li>
-<li>The file can cause some data or settings loss on your phone, such as contacts, messages, photos, or apps.</li>
-<li>The file can cause some legal or ethical issues on your phone, such as violating the terms and conditions of Samsung or your carrier.</li>
-<li>The file can cause some security or privacy issues on your phone, such as malware infection, data theft, or unauthorized access.</li>
-</ul>
-<p>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.<p>Lite.epub is a file that has some advantages and disadvantages for users who want to flash their Samsung GT-E2250 phones with a new firmware or operating system.<p>You should weigh the pros and cons of using this file before deciding to use it on your device.<p>You should also backup your data and settings before flashing your phone.</p></p>
-<h2>Conclusion</h2>
-<p>8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.4 Lite.epub is a file that can help you to flash your Samsung GT-E2250 phone with a new firmware or operating system. The file is easy to download and use, compatible with your device model and firmware version, safe and reliable, free and legal. The file can help you to fix some issues, improve performance, update features, customize your phone, or unlock your phone.</p>
-<p>However, you should also be aware of some risks and challenges of using this file on your phone. The file can cause some damages, issues, loss, violations, or threats to your phone. You should check the compatibility and reliability of this file before using it on your device. You should also follow the instructions carefully and backup your data before flashing your phone.</p>
-<p>If you are looking for a way to flash your Samsung GT-E2250 phone with ease and convenience, you should try 8211759.9137094 Gt E2250 Flash Loader 7.5.4 Csc V0.<p>Lite.epub today!</p> 3cee63e6c2<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/bioriAsaeru/text-to-voice/DVR Card Techwell Tw6802b Driver for Win 7 64 Bit Download and Install Guide.md b/spaces/bioriAsaeru/text-to-voice/DVR Card Techwell Tw6802b Driver for Win 7 64 Bit Download and Install Guide.md
deleted file mode 100644
index a2f92a296d411a53d6daa5e2ee5a5d5171c81114..0000000000000000000000000000000000000000
--- a/spaces/bioriAsaeru/text-to-voice/DVR Card Techwell Tw6802b Driver for Win 7 64 Bit Download and Install Guide.md	
+++ /dev/null
@@ -1,6 +0,0 @@
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-<br />
-<p></p>
diff --git a/spaces/bioriAsaeru/text-to-voice/Foto Kontol Orang Indonesia TOP.md b/spaces/bioriAsaeru/text-to-voice/Foto Kontol Orang Indonesia TOP.md
deleted file mode 100644
index 60c19d83a2ceb97adba94e53dfadeb48f6127bf4..0000000000000000000000000000000000000000
--- a/spaces/bioriAsaeru/text-to-voice/Foto Kontol Orang Indonesia TOP.md	
+++ /dev/null
@@ -1,6 +0,0 @@
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diff --git a/spaces/botlik100/kaki/lib/infer_pack/models_onnx.py b/spaces/botlik100/kaki/lib/infer_pack/models_onnx.py
deleted file mode 100644
index 963e67b29f828e9fdd096397952054fe77cf3d10..0000000000000000000000000000000000000000
--- a/spaces/botlik100/kaki/lib/infer_pack/models_onnx.py
+++ /dev/null
@@ -1,819 +0,0 @@
-import math, pdb, os
-from time import time as ttime
-import torch
-from torch import nn
-from torch.nn import functional as F
-from lib.infer_pack import modules
-from lib.infer_pack import attentions
-from lib.infer_pack import commons
-from lib.infer_pack.commons import init_weights, get_padding
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
-from lib.infer_pack.commons import init_weights
-import numpy as np
-from lib.infer_pack import commons
-
-
-class TextEncoder256(nn.Module):
-    def __init__(
-        self,
-        out_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        f0=True,
-    ):
-        super().__init__()
-        self.out_channels = out_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.emb_phone = nn.Linear(256, hidden_channels)
-        self.lrelu = nn.LeakyReLU(0.1, inplace=True)
-        if f0 == True:
-            self.emb_pitch = nn.Embedding(256, hidden_channels)  # pitch 256
-        self.encoder = attentions.Encoder(
-            hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout
-        )
-        self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
-
-    def forward(self, phone, pitch, lengths):
-        if pitch == None:
-            x = self.emb_phone(phone)
-        else:
-            x = self.emb_phone(phone) + self.emb_pitch(pitch)
-        x = x * math.sqrt(self.hidden_channels)  # [b, t, h]
-        x = self.lrelu(x)
-        x = torch.transpose(x, 1, -1)  # [b, h, t]
-        x_mask = torch.unsqueeze(commons.sequence_mask(lengths, x.size(2)), 1).to(
-            x.dtype
-        )
-        x = self.encoder(x * x_mask, x_mask)
-        stats = self.proj(x) * x_mask
-
-        m, logs = torch.split(stats, self.out_channels, dim=1)
-        return m, logs, x_mask
-
-
-class TextEncoder768(nn.Module):
-    def __init__(
-        self,
-        out_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        f0=True,
-    ):
-        super().__init__()
-        self.out_channels = out_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.emb_phone = nn.Linear(768, hidden_channels)
-        self.lrelu = nn.LeakyReLU(0.1, inplace=True)
-        if f0 == True:
-            self.emb_pitch = nn.Embedding(256, hidden_channels)  # pitch 256
-        self.encoder = attentions.Encoder(
-            hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout
-        )
-        self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
-
-    def forward(self, phone, pitch, lengths):
-        if pitch == None:
-            x = self.emb_phone(phone)
-        else:
-            x = self.emb_phone(phone) + self.emb_pitch(pitch)
-        x = x * math.sqrt(self.hidden_channels)  # [b, t, h]
-        x = self.lrelu(x)
-        x = torch.transpose(x, 1, -1)  # [b, h, t]
-        x_mask = torch.unsqueeze(commons.sequence_mask(lengths, x.size(2)), 1).to(
-            x.dtype
-        )
-        x = self.encoder(x * x_mask, x_mask)
-        stats = self.proj(x) * x_mask
-
-        m, logs = torch.split(stats, self.out_channels, dim=1)
-        return m, logs, x_mask
-
-
-class ResidualCouplingBlock(nn.Module):
-    def __init__(
-        self,
-        channels,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        n_flows=4,
-        gin_channels=0,
-    ):
-        super().__init__()
-        self.channels = channels
-        self.hidden_channels = hidden_channels
-        self.kernel_size = kernel_size
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.n_flows = n_flows
-        self.gin_channels = gin_channels
-
-        self.flows = nn.ModuleList()
-        for i in range(n_flows):
-            self.flows.append(
-                modules.ResidualCouplingLayer(
-                    channels,
-                    hidden_channels,
-                    kernel_size,
-                    dilation_rate,
-                    n_layers,
-                    gin_channels=gin_channels,
-                    mean_only=True,
-                )
-            )
-            self.flows.append(modules.Flip())
-
-    def forward(self, x, x_mask, g=None, reverse=False):
-        if not reverse:
-            for flow in self.flows:
-                x, _ = flow(x, x_mask, g=g, reverse=reverse)
-        else:
-            for flow in reversed(self.flows):
-                x = flow(x, x_mask, g=g, reverse=reverse)
-        return x
-
-    def remove_weight_norm(self):
-        for i in range(self.n_flows):
-            self.flows[i * 2].remove_weight_norm()
-
-
-class PosteriorEncoder(nn.Module):
-    def __init__(
-        self,
-        in_channels,
-        out_channels,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        gin_channels=0,
-    ):
-        super().__init__()
-        self.in_channels = in_channels
-        self.out_channels = out_channels
-        self.hidden_channels = hidden_channels
-        self.kernel_size = kernel_size
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.gin_channels = gin_channels
-
-        self.pre = nn.Conv1d(in_channels, hidden_channels, 1)
-        self.enc = modules.WN(
-            hidden_channels,
-            kernel_size,
-            dilation_rate,
-            n_layers,
-            gin_channels=gin_channels,
-        )
-        self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
-
-    def forward(self, x, x_lengths, g=None):
-        x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to(
-            x.dtype
-        )
-        x = self.pre(x) * x_mask
-        x = self.enc(x, x_mask, g=g)
-        stats = self.proj(x) * x_mask
-        m, logs = torch.split(stats, self.out_channels, dim=1)
-        z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask
-        return z, m, logs, x_mask
-
-    def remove_weight_norm(self):
-        self.enc.remove_weight_norm()
-
-
-class Generator(torch.nn.Module):
-    def __init__(
-        self,
-        initial_channel,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        gin_channels=0,
-    ):
-        super(Generator, self).__init__()
-        self.num_kernels = len(resblock_kernel_sizes)
-        self.num_upsamples = len(upsample_rates)
-        self.conv_pre = Conv1d(
-            initial_channel, upsample_initial_channel, 7, 1, padding=3
-        )
-        resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2
-
-        self.ups = nn.ModuleList()
-        for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)):
-            self.ups.append(
-                weight_norm(
-                    ConvTranspose1d(
-                        upsample_initial_channel // (2**i),
-                        upsample_initial_channel // (2 ** (i + 1)),
-                        k,
-                        u,
-                        padding=(k - u) // 2,
-                    )
-                )
-            )
-
-        self.resblocks = nn.ModuleList()
-        for i in range(len(self.ups)):
-            ch = upsample_initial_channel // (2 ** (i + 1))
-            for j, (k, d) in enumerate(
-                zip(resblock_kernel_sizes, resblock_dilation_sizes)
-            ):
-                self.resblocks.append(resblock(ch, k, d))
-
-        self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False)
-        self.ups.apply(init_weights)
-
-        if gin_channels != 0:
-            self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1)
-
-    def forward(self, x, g=None):
-        x = self.conv_pre(x)
-        if g is not None:
-            x = x + self.cond(g)
-
-        for i in range(self.num_upsamples):
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            x = self.ups[i](x)
-            xs = None
-            for j in range(self.num_kernels):
-                if xs is None:
-                    xs = self.resblocks[i * self.num_kernels + j](x)
-                else:
-                    xs += self.resblocks[i * self.num_kernels + j](x)
-            x = xs / self.num_kernels
-        x = F.leaky_relu(x)
-        x = self.conv_post(x)
-        x = torch.tanh(x)
-
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.ups:
-            remove_weight_norm(l)
-        for l in self.resblocks:
-            l.remove_weight_norm()
-
-
-class SineGen(torch.nn.Module):
-    """Definition of sine generator
-    SineGen(samp_rate, harmonic_num = 0,
-            sine_amp = 0.1, noise_std = 0.003,
-            voiced_threshold = 0,
-            flag_for_pulse=False)
-    samp_rate: sampling rate in Hz
-    harmonic_num: number of harmonic overtones (default 0)
-    sine_amp: amplitude of sine-wavefrom (default 0.1)
-    noise_std: std of Gaussian noise (default 0.003)
-    voiced_thoreshold: F0 threshold for U/V classification (default 0)
-    flag_for_pulse: this SinGen is used inside PulseGen (default False)
-    Note: when flag_for_pulse is True, the first time step of a voiced
-        segment is always sin(np.pi) or cos(0)
-    """
-
-    def __init__(
-        self,
-        samp_rate,
-        harmonic_num=0,
-        sine_amp=0.1,
-        noise_std=0.003,
-        voiced_threshold=0,
-        flag_for_pulse=False,
-    ):
-        super(SineGen, self).__init__()
-        self.sine_amp = sine_amp
-        self.noise_std = noise_std
-        self.harmonic_num = harmonic_num
-        self.dim = self.harmonic_num + 1
-        self.sampling_rate = samp_rate
-        self.voiced_threshold = voiced_threshold
-
-    def _f02uv(self, f0):
-        # generate uv signal
-        uv = torch.ones_like(f0)
-        uv = uv * (f0 > self.voiced_threshold)
-        return uv
-
-    def forward(self, f0, upp):
-        """sine_tensor, uv = forward(f0)
-        input F0: tensor(batchsize=1, length, dim=1)
-                  f0 for unvoiced steps should be 0
-        output sine_tensor: tensor(batchsize=1, length, dim)
-        output uv: tensor(batchsize=1, length, 1)
-        """
-        with torch.no_grad():
-            f0 = f0[:, None].transpose(1, 2)
-            f0_buf = torch.zeros(f0.shape[0], f0.shape[1], self.dim, device=f0.device)
-            # fundamental component
-            f0_buf[:, :, 0] = f0[:, :, 0]
-            for idx in np.arange(self.harmonic_num):
-                f0_buf[:, :, idx + 1] = f0_buf[:, :, 0] * (
-                    idx + 2
-                )  # idx + 2: the (idx+1)-th overtone, (idx+2)-th harmonic
-            rad_values = (f0_buf / self.sampling_rate) % 1  ###%1意味着n_har的乘积无法后处理优化
-            rand_ini = torch.rand(
-                f0_buf.shape[0], f0_buf.shape[2], device=f0_buf.device
-            )
-            rand_ini[:, 0] = 0
-            rad_values[:, 0, :] = rad_values[:, 0, :] + rand_ini
-            tmp_over_one = torch.cumsum(rad_values, 1)  # % 1  #####%1意味着后面的cumsum无法再优化
-            tmp_over_one *= upp
-            tmp_over_one = F.interpolate(
-                tmp_over_one.transpose(2, 1),
-                scale_factor=upp,
-                mode="linear",
-                align_corners=True,
-            ).transpose(2, 1)
-            rad_values = F.interpolate(
-                rad_values.transpose(2, 1), scale_factor=upp, mode="nearest"
-            ).transpose(
-                2, 1
-            )  #######
-            tmp_over_one %= 1
-            tmp_over_one_idx = (tmp_over_one[:, 1:, :] - tmp_over_one[:, :-1, :]) < 0
-            cumsum_shift = torch.zeros_like(rad_values)
-            cumsum_shift[:, 1:, :] = tmp_over_one_idx * -1.0
-            sine_waves = torch.sin(
-                torch.cumsum(rad_values + cumsum_shift, dim=1) * 2 * np.pi
-            )
-            sine_waves = sine_waves * self.sine_amp
-            uv = self._f02uv(f0)
-            uv = F.interpolate(
-                uv.transpose(2, 1), scale_factor=upp, mode="nearest"
-            ).transpose(2, 1)
-            noise_amp = uv * self.noise_std + (1 - uv) * self.sine_amp / 3
-            noise = noise_amp * torch.randn_like(sine_waves)
-            sine_waves = sine_waves * uv + noise
-        return sine_waves, uv, noise
-
-
-class SourceModuleHnNSF(torch.nn.Module):
-    """SourceModule for hn-nsf
-    SourceModule(sampling_rate, harmonic_num=0, sine_amp=0.1,
-                 add_noise_std=0.003, voiced_threshod=0)
-    sampling_rate: sampling_rate in Hz
-    harmonic_num: number of harmonic above F0 (default: 0)
-    sine_amp: amplitude of sine source signal (default: 0.1)
-    add_noise_std: std of additive Gaussian noise (default: 0.003)
-        note that amplitude of noise in unvoiced is decided
-        by sine_amp
-    voiced_threshold: threhold to set U/V given F0 (default: 0)
-    Sine_source, noise_source = SourceModuleHnNSF(F0_sampled)
-    F0_sampled (batchsize, length, 1)
-    Sine_source (batchsize, length, 1)
-    noise_source (batchsize, length 1)
-    uv (batchsize, length, 1)
-    """
-
-    def __init__(
-        self,
-        sampling_rate,
-        harmonic_num=0,
-        sine_amp=0.1,
-        add_noise_std=0.003,
-        voiced_threshod=0,
-        is_half=True,
-    ):
-        super(SourceModuleHnNSF, self).__init__()
-
-        self.sine_amp = sine_amp
-        self.noise_std = add_noise_std
-        self.is_half = is_half
-        # to produce sine waveforms
-        self.l_sin_gen = SineGen(
-            sampling_rate, harmonic_num, sine_amp, add_noise_std, voiced_threshod
-        )
-
-        # to merge source harmonics into a single excitation
-        self.l_linear = torch.nn.Linear(harmonic_num + 1, 1)
-        self.l_tanh = torch.nn.Tanh()
-
-    def forward(self, x, upp=None):
-        sine_wavs, uv, _ = self.l_sin_gen(x, upp)
-        if self.is_half:
-            sine_wavs = sine_wavs.half()
-        sine_merge = self.l_tanh(self.l_linear(sine_wavs))
-        return sine_merge, None, None  # noise, uv
-
-
-class GeneratorNSF(torch.nn.Module):
-    def __init__(
-        self,
-        initial_channel,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        gin_channels,
-        sr,
-        is_half=False,
-    ):
-        super(GeneratorNSF, self).__init__()
-        self.num_kernels = len(resblock_kernel_sizes)
-        self.num_upsamples = len(upsample_rates)
-
-        self.f0_upsamp = torch.nn.Upsample(scale_factor=np.prod(upsample_rates))
-        self.m_source = SourceModuleHnNSF(
-            sampling_rate=sr, harmonic_num=0, is_half=is_half
-        )
-        self.noise_convs = nn.ModuleList()
-        self.conv_pre = Conv1d(
-            initial_channel, upsample_initial_channel, 7, 1, padding=3
-        )
-        resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2
-
-        self.ups = nn.ModuleList()
-        for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)):
-            c_cur = upsample_initial_channel // (2 ** (i + 1))
-            self.ups.append(
-                weight_norm(
-                    ConvTranspose1d(
-                        upsample_initial_channel // (2**i),
-                        upsample_initial_channel // (2 ** (i + 1)),
-                        k,
-                        u,
-                        padding=(k - u) // 2,
-                    )
-                )
-            )
-            if i + 1 < len(upsample_rates):
-                stride_f0 = np.prod(upsample_rates[i + 1 :])
-                self.noise_convs.append(
-                    Conv1d(
-                        1,
-                        c_cur,
-                        kernel_size=stride_f0 * 2,
-                        stride=stride_f0,
-                        padding=stride_f0 // 2,
-                    )
-                )
-            else:
-                self.noise_convs.append(Conv1d(1, c_cur, kernel_size=1))
-
-        self.resblocks = nn.ModuleList()
-        for i in range(len(self.ups)):
-            ch = upsample_initial_channel // (2 ** (i + 1))
-            for j, (k, d) in enumerate(
-                zip(resblock_kernel_sizes, resblock_dilation_sizes)
-            ):
-                self.resblocks.append(resblock(ch, k, d))
-
-        self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False)
-        self.ups.apply(init_weights)
-
-        if gin_channels != 0:
-            self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1)
-
-        self.upp = np.prod(upsample_rates)
-
-    def forward(self, x, f0, g=None):
-        har_source, noi_source, uv = self.m_source(f0, self.upp)
-        har_source = har_source.transpose(1, 2)
-        x = self.conv_pre(x)
-        if g is not None:
-            x = x + self.cond(g)
-
-        for i in range(self.num_upsamples):
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            x = self.ups[i](x)
-            x_source = self.noise_convs[i](har_source)
-            x = x + x_source
-            xs = None
-            for j in range(self.num_kernels):
-                if xs is None:
-                    xs = self.resblocks[i * self.num_kernels + j](x)
-                else:
-                    xs += self.resblocks[i * self.num_kernels + j](x)
-            x = xs / self.num_kernels
-        x = F.leaky_relu(x)
-        x = self.conv_post(x)
-        x = torch.tanh(x)
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.ups:
-            remove_weight_norm(l)
-        for l in self.resblocks:
-            l.remove_weight_norm()
-
-
-sr2sr = {
-    "32k": 32000,
-    "40k": 40000,
-    "48k": 48000,
-}
-
-
-class SynthesizerTrnMsNSFsidM(nn.Module):
-    def __init__(
-        self,
-        spec_channels,
-        segment_size,
-        inter_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        spk_embed_dim,
-        gin_channels,
-        sr,
-        version,
-        **kwargs
-    ):
-        super().__init__()
-        if type(sr) == type("strr"):
-            sr = sr2sr[sr]
-        self.spec_channels = spec_channels
-        self.inter_channels = inter_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.resblock = resblock
-        self.resblock_kernel_sizes = resblock_kernel_sizes
-        self.resblock_dilation_sizes = resblock_dilation_sizes
-        self.upsample_rates = upsample_rates
-        self.upsample_initial_channel = upsample_initial_channel
-        self.upsample_kernel_sizes = upsample_kernel_sizes
-        self.segment_size = segment_size
-        self.gin_channels = gin_channels
-        # self.hop_length = hop_length#
-        self.spk_embed_dim = spk_embed_dim
-        if version == "v1":
-            self.enc_p = TextEncoder256(
-                inter_channels,
-                hidden_channels,
-                filter_channels,
-                n_heads,
-                n_layers,
-                kernel_size,
-                p_dropout,
-            )
-        else:
-            self.enc_p = TextEncoder768(
-                inter_channels,
-                hidden_channels,
-                filter_channels,
-                n_heads,
-                n_layers,
-                kernel_size,
-                p_dropout,
-            )
-        self.dec = GeneratorNSF(
-            inter_channels,
-            resblock,
-            resblock_kernel_sizes,
-            resblock_dilation_sizes,
-            upsample_rates,
-            upsample_initial_channel,
-            upsample_kernel_sizes,
-            gin_channels=gin_channels,
-            sr=sr,
-            is_half=kwargs["is_half"],
-        )
-        self.enc_q = PosteriorEncoder(
-            spec_channels,
-            inter_channels,
-            hidden_channels,
-            5,
-            1,
-            16,
-            gin_channels=gin_channels,
-        )
-        self.flow = ResidualCouplingBlock(
-            inter_channels, hidden_channels, 5, 1, 3, gin_channels=gin_channels
-        )
-        self.emb_g = nn.Embedding(self.spk_embed_dim, gin_channels)
-        self.speaker_map = None
-        print("gin_channels:", gin_channels, "self.spk_embed_dim:", self.spk_embed_dim)
-
-    def remove_weight_norm(self):
-        self.dec.remove_weight_norm()
-        self.flow.remove_weight_norm()
-        self.enc_q.remove_weight_norm()
-
-    def construct_spkmixmap(self, n_speaker):
-        self.speaker_map = torch.zeros((n_speaker, 1, 1, self.gin_channels))
-        for i in range(n_speaker):
-            self.speaker_map[i] = self.emb_g(torch.LongTensor([[i]]))
-        self.speaker_map = self.speaker_map.unsqueeze(0)
-
-    def forward(self, phone, phone_lengths, pitch, nsff0, g, rnd, max_len=None):
-        if self.speaker_map is not None:  # [N, S]  *  [S, B, 1, H]
-            g = g.reshape((g.shape[0], g.shape[1], 1, 1, 1))  # [N, S, B, 1, 1]
-            g = g * self.speaker_map  # [N, S, B, 1, H]
-            g = torch.sum(g, dim=1)  # [N, 1, B, 1, H]
-            g = g.transpose(0, -1).transpose(0, -2).squeeze(0)  # [B, H, N]
-        else:
-            g = g.unsqueeze(0)
-            g = self.emb_g(g).transpose(1, 2)
-
-        m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths)
-        z_p = (m_p + torch.exp(logs_p) * rnd) * x_mask
-        z = self.flow(z_p, x_mask, g=g, reverse=True)
-        o = self.dec((z * x_mask)[:, :, :max_len], nsff0, g=g)
-        return o
-
-
-class MultiPeriodDiscriminator(torch.nn.Module):
-    def __init__(self, use_spectral_norm=False):
-        super(MultiPeriodDiscriminator, self).__init__()
-        periods = [2, 3, 5, 7, 11, 17]
-        # periods = [3, 5, 7, 11, 17, 23, 37]
-
-        discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)]
-        discs = discs + [
-            DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods
-        ]
-        self.discriminators = nn.ModuleList(discs)
-
-    def forward(self, y, y_hat):
-        y_d_rs = []  #
-        y_d_gs = []
-        fmap_rs = []
-        fmap_gs = []
-        for i, d in enumerate(self.discriminators):
-            y_d_r, fmap_r = d(y)
-            y_d_g, fmap_g = d(y_hat)
-            # for j in range(len(fmap_r)):
-            #     print(i,j,y.shape,y_hat.shape,fmap_r[j].shape,fmap_g[j].shape)
-            y_d_rs.append(y_d_r)
-            y_d_gs.append(y_d_g)
-            fmap_rs.append(fmap_r)
-            fmap_gs.append(fmap_g)
-
-        return y_d_rs, y_d_gs, fmap_rs, fmap_gs
-
-
-class MultiPeriodDiscriminatorV2(torch.nn.Module):
-    def __init__(self, use_spectral_norm=False):
-        super(MultiPeriodDiscriminatorV2, self).__init__()
-        # periods = [2, 3, 5, 7, 11, 17]
-        periods = [2, 3, 5, 7, 11, 17, 23, 37]
-
-        discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)]
-        discs = discs + [
-            DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods
-        ]
-        self.discriminators = nn.ModuleList(discs)
-
-    def forward(self, y, y_hat):
-        y_d_rs = []  #
-        y_d_gs = []
-        fmap_rs = []
-        fmap_gs = []
-        for i, d in enumerate(self.discriminators):
-            y_d_r, fmap_r = d(y)
-            y_d_g, fmap_g = d(y_hat)
-            # for j in range(len(fmap_r)):
-            #     print(i,j,y.shape,y_hat.shape,fmap_r[j].shape,fmap_g[j].shape)
-            y_d_rs.append(y_d_r)
-            y_d_gs.append(y_d_g)
-            fmap_rs.append(fmap_r)
-            fmap_gs.append(fmap_g)
-
-        return y_d_rs, y_d_gs, fmap_rs, fmap_gs
-
-
-class DiscriminatorS(torch.nn.Module):
-    def __init__(self, use_spectral_norm=False):
-        super(DiscriminatorS, self).__init__()
-        norm_f = weight_norm if use_spectral_norm == False else spectral_norm
-        self.convs = nn.ModuleList(
-            [
-                norm_f(Conv1d(1, 16, 15, 1, padding=7)),
-                norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)),
-                norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)),
-                norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)),
-                norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)),
-                norm_f(Conv1d(1024, 1024, 5, 1, padding=2)),
-            ]
-        )
-        self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1))
-
-    def forward(self, x):
-        fmap = []
-
-        for l in self.convs:
-            x = l(x)
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            fmap.append(x)
-        x = self.conv_post(x)
-        fmap.append(x)
-        x = torch.flatten(x, 1, -1)
-
-        return x, fmap
-
-
-class DiscriminatorP(torch.nn.Module):
-    def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False):
-        super(DiscriminatorP, self).__init__()
-        self.period = period
-        self.use_spectral_norm = use_spectral_norm
-        norm_f = weight_norm if use_spectral_norm == False else spectral_norm
-        self.convs = nn.ModuleList(
-            [
-                norm_f(
-                    Conv2d(
-                        1,
-                        32,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        32,
-                        128,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        128,
-                        512,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        512,
-                        1024,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        1024,
-                        1024,
-                        (kernel_size, 1),
-                        1,
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-            ]
-        )
-        self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0)))
-
-    def forward(self, x):
-        fmap = []
-
-        # 1d to 2d
-        b, c, t = x.shape
-        if t % self.period != 0:  # pad first
-            n_pad = self.period - (t % self.period)
-            x = F.pad(x, (0, n_pad), "reflect")
-            t = t + n_pad
-        x = x.view(b, c, t // self.period, self.period)
-
-        for l in self.convs:
-            x = l(x)
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            fmap.append(x)
-        x = self.conv_post(x)
-        fmap.append(x)
-        x = torch.flatten(x, 1, -1)
-
-        return x, fmap
diff --git a/spaces/brjathu/HMR2.0/vendor/detectron2/detectron2/utils/analysis.py b/spaces/brjathu/HMR2.0/vendor/detectron2/detectron2/utils/analysis.py
deleted file mode 100644
index 178da7968cc08c29ec61b823bba8b74e8d97e1d6..0000000000000000000000000000000000000000
--- a/spaces/brjathu/HMR2.0/vendor/detectron2/detectron2/utils/analysis.py
+++ /dev/null
@@ -1,188 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-# -*- coding: utf-8 -*-
-
-import typing
-from typing import Any, List
-import fvcore
-from fvcore.nn import activation_count, flop_count, parameter_count, parameter_count_table
-from torch import nn
-
-from detectron2.export import TracingAdapter
-
-__all__ = [
-    "activation_count_operators",
-    "flop_count_operators",
-    "parameter_count_table",
-    "parameter_count",
-    "FlopCountAnalysis",
-]
-
-FLOPS_MODE = "flops"
-ACTIVATIONS_MODE = "activations"
-
-
-# Some extra ops to ignore from counting, including elementwise and reduction ops
-_IGNORED_OPS = {
-    "aten::add",
-    "aten::add_",
-    "aten::argmax",
-    "aten::argsort",
-    "aten::batch_norm",
-    "aten::constant_pad_nd",
-    "aten::div",
-    "aten::div_",
-    "aten::exp",
-    "aten::log2",
-    "aten::max_pool2d",
-    "aten::meshgrid",
-    "aten::mul",
-    "aten::mul_",
-    "aten::neg",
-    "aten::nonzero_numpy",
-    "aten::reciprocal",
-    "aten::repeat_interleave",
-    "aten::rsub",
-    "aten::sigmoid",
-    "aten::sigmoid_",
-    "aten::softmax",
-    "aten::sort",
-    "aten::sqrt",
-    "aten::sub",
-    "torchvision::nms",  # TODO estimate flop for nms
-}
-
-
-class FlopCountAnalysis(fvcore.nn.FlopCountAnalysis):
-    """
-    Same as :class:`fvcore.nn.FlopCountAnalysis`, but supports detectron2 models.
-    """
-
-    def __init__(self, model, inputs):
-        """
-        Args:
-            model (nn.Module):
-            inputs (Any): inputs of the given model. Does not have to be tuple of tensors.
-        """
-        wrapper = TracingAdapter(model, inputs, allow_non_tensor=True)
-        super().__init__(wrapper, wrapper.flattened_inputs)
-        self.set_op_handle(**{k: None for k in _IGNORED_OPS})
-
-
-def flop_count_operators(model: nn.Module, inputs: list) -> typing.DefaultDict[str, float]:
-    """
-    Implement operator-level flops counting using jit.
-    This is a wrapper of :func:`fvcore.nn.flop_count` and adds supports for standard
-    detection models in detectron2.
-    Please use :class:`FlopCountAnalysis` for more advanced functionalities.
-
-    Note:
-        The function runs the input through the model to compute flops.
-        The flops of a detection model is often input-dependent, for example,
-        the flops of box & mask head depends on the number of proposals &
-        the number of detected objects.
-        Therefore, the flops counting using a single input may not accurately
-        reflect the computation cost of a model. It's recommended to average
-        across a number of inputs.
-
-    Args:
-        model: a detectron2 model that takes `list[dict]` as input.
-        inputs (list[dict]): inputs to model, in detectron2's standard format.
-            Only "image" key will be used.
-        supported_ops (dict[str, Handle]): see documentation of :func:`fvcore.nn.flop_count`
-
-    Returns:
-        Counter: Gflop count per operator
-    """
-    old_train = model.training
-    model.eval()
-    ret = FlopCountAnalysis(model, inputs).by_operator()
-    model.train(old_train)
-    return {k: v / 1e9 for k, v in ret.items()}
-
-
-def activation_count_operators(
-    model: nn.Module, inputs: list, **kwargs
-) -> typing.DefaultDict[str, float]:
-    """
-    Implement operator-level activations counting using jit.
-    This is a wrapper of fvcore.nn.activation_count, that supports standard detection models
-    in detectron2.
-
-    Note:
-        The function runs the input through the model to compute activations.
-        The activations of a detection model is often input-dependent, for example,
-        the activations of box & mask head depends on the number of proposals &
-        the number of detected objects.
-
-    Args:
-        model: a detectron2 model that takes `list[dict]` as input.
-        inputs (list[dict]): inputs to model, in detectron2's standard format.
-            Only "image" key will be used.
-
-    Returns:
-        Counter: activation count per operator
-    """
-    return _wrapper_count_operators(model=model, inputs=inputs, mode=ACTIVATIONS_MODE, **kwargs)
-
-
-def _wrapper_count_operators(
-    model: nn.Module, inputs: list, mode: str, **kwargs
-) -> typing.DefaultDict[str, float]:
-    # ignore some ops
-    supported_ops = {k: lambda *args, **kwargs: {} for k in _IGNORED_OPS}
-    supported_ops.update(kwargs.pop("supported_ops", {}))
-    kwargs["supported_ops"] = supported_ops
-
-    assert len(inputs) == 1, "Please use batch size=1"
-    tensor_input = inputs[0]["image"]
-    inputs = [{"image": tensor_input}]  # remove other keys, in case there are any
-
-    old_train = model.training
-    if isinstance(model, (nn.parallel.distributed.DistributedDataParallel, nn.DataParallel)):
-        model = model.module
-    wrapper = TracingAdapter(model, inputs)
-    wrapper.eval()
-    if mode == FLOPS_MODE:
-        ret = flop_count(wrapper, (tensor_input,), **kwargs)
-    elif mode == ACTIVATIONS_MODE:
-        ret = activation_count(wrapper, (tensor_input,), **kwargs)
-    else:
-        raise NotImplementedError("Count for mode {} is not supported yet.".format(mode))
-    # compatible with change in fvcore
-    if isinstance(ret, tuple):
-        ret = ret[0]
-    model.train(old_train)
-    return ret
-
-
-def find_unused_parameters(model: nn.Module, inputs: Any) -> List[str]:
-    """
-    Given a model, find parameters that do not contribute
-    to the loss.
-
-    Args:
-        model: a model in training mode that returns losses
-        inputs: argument or a tuple of arguments. Inputs of the model
-
-    Returns:
-        list[str]: the name of unused parameters
-    """
-    assert model.training
-    for _, prm in model.named_parameters():
-        prm.grad = None
-
-    if isinstance(inputs, tuple):
-        losses = model(*inputs)
-    else:
-        losses = model(inputs)
-
-    if isinstance(losses, dict):
-        losses = sum(losses.values())
-    losses.backward()
-
-    unused: List[str] = []
-    for name, prm in model.named_parameters():
-        if prm.grad is None:
-            unused.append(name)
-        prm.grad = None
-    return unused
diff --git a/spaces/chaocai/superbot/app.py b/spaces/chaocai/superbot/app.py
deleted file mode 100644
index 49b6cd28415f688ef7794835f599b9cefe1ab7c9..0000000000000000000000000000000000000000
--- a/spaces/chaocai/superbot/app.py
+++ /dev/null
@@ -1,331 +0,0 @@
-from io import StringIO
-from langchain.agents import load_tools
-from langchain.agents import initialize_agent
-from langchain.agents import AgentType
-from langchain.llms import OpenAI
-from langchain.utilities import SerpAPIWrapper
-from langchain.chains import LLMChain
-from langchain.chains import LLMRequestsChain
-from langchain.prompts import PromptTemplate
-from langchain.chat_models import AzureChatOpenAI
-from langchain.agents import initialize_agent
-from langchain.memory import ConversationBufferWindowMemory
-from langchain.memory import ConversationSummaryBufferMemory
-import gradio as gr
-from langchain.agents import ZeroShotAgent, Tool, AgentExecutor
-import http.client
-import json
-import requests
-import time
-import os
-import sys
-from maxlang_prompt import prompt_maxlang, prompt_exp_maxlang, prompt_maxlang_builtin_fns
-from stream_output import MaxbotStreamCallbackHandler
-from queue import Queue
-from langchain_experimental.plan_and_execute import PlanAndExecute, load_agent_executor, load_chat_planner
-import tiktoken
-import vertexai
-from langchain.llms import VertexAI
-
-class StreamHandlerDemo(MaxbotStreamCallbackHandler):
-    def __init__(self):
-        super().__init__()
-        self.is_end = False
-        self.is_reached = False
-        self.token_queue = Queue(20000)       
-        
-    def handle_incoming_token(self, token: str) -> None:
-        self.is_end = False
-        self.is_reached = True
-        self.token_queue.put(token)
-
-    def handle_converastion_end(self) -> None:
-        if self.is_reached:
-            self.is_end = True
-            self.is_reached = False
-
-class PythonREPL:
-    """Simulates a standalone Python REPL."""
-
-    def __init__(self):
-        pass        
-
-    def run(self, command: str) -> str:
-        command = '\n'.join(line for line in command.split('\n') if not line.startswith('```'))
-        """Run command and returns anything printed."""
-        # sys.stderr.write("EXECUTING PYTHON CODE:\n---\n" + command + "\n---\n")
-        old_stdout = sys.stdout
-        sys.stdout = mystdout = StringIO()
-        try:
-            exec(command, globals())
-            sys.stdout = old_stdout
-            output = mystdout.getvalue()
-        except Exception as e:
-            sys.stdout = old_stdout
-            output = str(e)
-        # sys.stderr.write("PYTHON OUTPUT: \"" + output + "\"\n")
-        return output
-
-streamHandler = StreamHandlerDemo()
-
-llm = AzureChatOpenAI(deployment_name="gpt4", temperature=0.3, max_tokens=1000,
-                     callbacks=[streamHandler],streaming=True)
-#llm = VertexAI()
-memory = ConversationBufferWindowMemory(k=10, memory_key="chat_history") 
-#memory = ConversationSummaryBufferMemory(llm=llm, max_token_limit=2000, memory_key="chat_history")
-
-def draw_uml_digram(input):
-    prompt = """
-    write the PlantUML scripts with default layout for the following user's requirement, 
-    and don't use the "!includeurl" in the script. The ouput follows Markdown format.
-    ---
-    {input}  
-    """
-    template = PromptTemplate(
-        template=prompt,
-        input_variables=["input"]
-    )
-    uml_chain = LLMChain(llm=llm, prompt=template, output_key="uml_script")
-    res = uml_chain.run(input)
-    return res
-
-def learn_maxlang_programming(input):
-    return prompt_maxlang + '\n'  + prompt_exp_maxlang
-
-def create_image(prompt):
-  api_base = os.getenv("OPENAI_API_BASE")
-  api_key = os.getenv("OPENAI_API_KEY")
-  api_version = api_version = '2022-08-03-preview'
-
-
-  url = "{}dalle/text-to-image?api-version={}".format(api_base, api_version)
-  headers= { "api-key": api_key, "Content-Type": "application/json" }
-  body = {
-      "caption": prompt,
-      "resolution": "512x512"
-  }
-  submission = requests.post(url, headers=headers, json=body)
-  operation_location = submission.headers['Operation-Location']
-  retry_after = submission.headers['Retry-after']
-  status = ""
-  while (status != "Succeeded"):
-      time.sleep(int(retry_after))
-      response = requests.get(operation_location, headers=headers)
-      status = response.json()['status']
-  image_url = response.json()['result']['contentUrl']
-  #print("![your dinner]("+image_url+")")
-  #display(Image(url=image_url))
-  return "![image]("+image_url+")"
-
-def query_maxcloud_doc(question):
-  conn = http.client.HTTPSConnection('api.gitbook.com')
-  headers = {'Content-type': 'application/json', "Authorization": "Bearer gb_api_dvVhCOQQzkQ33nWLW2C8jyHQpaxY4C3l8uH2afoE"}
-  payload = json.dumps({"query": question, "previousQueries": []}).encode('utf-8')
-  conn.request('POST', '/v1/spaces/ZNgugMYXt9ujbhVZqNea/search/ask', payload, headers)
-
-  response = conn.getresponse()
-  response_data = json.loads(response.read().decode())
-  if 'answer' in response_data:
-      return response_data["answer"]["text"]
-  return "No anwser. To anwser this question, you need to get some real-time info"
-
-def query_bing(question):
-  template = """Between >>> and <<< are the raw search result text from google.
-  Extract the answer to the question '{query}' or say "not found" if the information is not contained.
-  Use the format
-  Extracted:<answer or "not found">
-  >>> {requests_result} <<<
-  Extracted:"""
-
-  PROMPT = PromptTemplate(
-      input_variables=["query", "requests_result"],
-      template=template,
-  )
-
-  inputs = {
-      "query": question,
-      "url": "https://www.bing.cn/search?q=" + question.replace(" ", "+")
-  }
-  requests_chain = LLMRequestsChain(llm_chain = LLMChain(llm=llm, prompt=PROMPT), output_key="query_info")
-  res = requests_chain.run(inputs)
-  print("res=",res)
-  return res
-
-def query_google(question):
-  template = """Between >>> and <<< are the raw search result text from google.
-  Extract the answer to the question '{query}' or say "not found" if the information is not contained.
-  Use the format
-  Extracted:<answer or "not found">
-  >>> {requests_result} <<<
-  Extracted:"""
-
-  PROMPT = PromptTemplate(
-      input_variables=["query", "requests_result"],
-      template=template,
-  )
-
-  inputs = {
-      "query": question,
-      "url": "https://www.google.com/search?q=" + question.replace(" ", "+")
-  }
-  requests_chain = LLMRequestsChain(llm_chain = LLMChain(llm=llm, prompt=PROMPT), output_key="query_info")
-  res = requests_chain.run(inputs)
-  print("res=",res)
-  return res
-
-tools = [
-    Tool(
-        name = "learn maxlang programming",func=learn_maxlang_programming,
-        description="""
-        invoke it to know how to use Maxlang/MaxLang/maxlang write program/script
-        """
-        ),
-    Tool(
-        name = "look up maxlang built-in fn",func=query_maxcloud_doc,
-        description="""
-        invoke it when you need to find the MaxLang built-in functions for getting/setting Kubernetes or MaxCloud resource configurations in MaxLang
-        """
-    ),
-    Tool(
-        name = "Get maxcloud doc",func=query_maxcloud_doc,
-        description="invoke it when you need to answer questions about maxcloud/MaxCloud/Maxcloud or the built-in functions in MaxLang"),
-    Tool(
-        name = "Get current info",func=query_google,
-        description="""
-        invoke it only when you need to answer questions about current info/event. 
-        And the input should be a search query.
-        """),
-    Tool(
-        name = "Create image", func=create_image,
-        description="invoke it for when you need to create an image or draw a picture. This tools is not for creating the software design diagrams, such as UML diagram."),
-    Tool(
-        name = "Draw UML digram or write PlantUML script", func=draw_uml_digram,
-        description="""invoke it when you are asked to draw the UML diagrams or to represent your design with UML diagrams, 
-              such as, class diagram, sequence diagram, package diagram, state diagram, activity diagram and etc..
-              The input is the requirement."""
-    ),
-    Tool(
-        name = "Python REPL",
-        func = PythonREPL().run,
-        description = """Invoke it when you need execute a python program. Use this to execute python commands. 
-        Input should be a valid python command.
-        If you expect output it should be printed out."""
-    )
-]
-
-prefix = """
-      Have a conversation with a human. Think the following question step by step and answer it as best you can. 
-      Ansewer the user question follow the instructions below:
-      1. You can use following tools when only they are needed, and these tools are not for translation tasks.
-      4. For translation, you don't need any tools and translate the content by yourself.
-      5. Don't use json format as the input when invoking tools.
-      6. use the question directly instead of using json format string as the Action-input.
-      """
-
-suffix =  """Begin!
-  {chat_history}
-  Question: {input}
-  {agent_scratchpad}"""
-
-prompt = ZeroShotAgent.create_prompt(
-  tools, 
-  prefix=prefix, 
-  suffix=suffix, 
-  input_variables=["input","chat_history", "agent_scratchpad"]
-)
-
-
-suffix1 =  """"Begin!
-  earlier conversation context summary:{summary}
-  Recent lines of conversation:{new_lines}
-  Question: {input}
-  {agent_scratchpad}"""
-
-prompt1 = ZeroShotAgent.create_prompt(
-  tools, 
-  prefix=prefix, 
-  suffix=suffix1, 
-  input_variables=["input","summary","new_lines" ,"agent_scratchpad"]
-)
-
-
-
-llm_chain = LLMChain(llm=llm, prompt=prompt)
-
-agent = ZeroShotAgent(llm_chain=llm_chain, tools=tools, max_iterations=5, verbose=True, handle_parsing_errors=True)
-agent_chain = AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=True, memory=memory, handle_parsing_errors=True)
-
-#agent_chain = initialize_agent(tools, llm, agent=AgentType.OPENAI_FUNCTIONS, verbose=True,memory=memory, handle_parsing_errors=True)
-
-#planner = load_chat_planner(llm)
-#executor = load_agent_executor(llm, tools, verbose=True)
-#agent_chain = PlanAndExecute(planner=planner, executor=executor, verbose=True, max_iterations=5, handle_parsing_errors=True)
-
-#agent_chain = initialize_agent(tools, llm, agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, verbose=True, memory=memory)
-
-#agent = initialize_agent(tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True,memory=memory)
-#print(agent.run("怎样MaxCloud中创建Bundle"))
-
-def get_num_of_tokens_memory(model):
-    mem = str(memory.load_memory_variables({}))
-    encoding = tiktoken.encoding_for_model(model)
-    num_of_tokens = len(encoding.encode(mem))
-    return num_of_tokens
-
-def init():
-    predict()
-
-def predict(input, history=[]):  
-    print("--------------\n")
-    print(str(memory.load_memory_variables({})))    
-    print("----- "+ str(get_num_of_tokens_memory("gpt-4")) +" -------\n")
-    history.append(input)
-    try:
-        response = agent_chain.run(input)
-        print(response)
-    except Exception as e:
-        response = str(e)
-        response_prefix = "Could not parse LLM output: `"
-        if not response.startswith(response_prefix):
-            raise e
-        response_suffix = "`"
-        if response.startswith(response_prefix):
-            response = response[len(response_prefix):]
-        if response.endswith(response_suffix):
-            response = response[:-len(response_suffix)]
-    history.append(response)
-    responses = [(u,b) for u,b in zip(history[::2], history[1::2])]
-    print(memory.load_memory_variables , "\n")
-    return responses, history
-
-def asyn_predict(input,history=[]):
-    cur_res = ""
-    history.append(input)
-    history.append(cur_res)
-    responses = []
-    try:
-        streamHandler.is_end = False
-        agent_chain.run(input)
-        while not streamHandler.is_end or not streamHandler.token_queue.empty():
-            cur_token = streamHandler.token_queue.get(False)
-            cur_res = cur_res + cur_token
-            history[-1] = cur_res
-            responses = [(u,b) for u,b in zip(history[::2], history[1::2])]
-            yield responses, history
-            time.sleep(0.02)
-        print("END Conversation")
-    except Exception as e:
-        print(e)
-    return responses, history
-
-with gr.Blocks(css="#chatbot{height:500px} .overflow-y-auto{height:500px}") as demo:
-    chatbot = gr.Chatbot(elem_id="chatbot") 
-    state = gr.State([])
-    with gr.Row():
-        txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False)
-    txt.submit(predict, [txt, state], [chatbot, state])
-    txt.value=""
-demo.launch(debug=True)
-
-
-
diff --git a/spaces/chasemcdo/hf_localai/api/api_test.go b/spaces/chasemcdo/hf_localai/api/api_test.go
deleted file mode 100644
index 43aa30bbfd05e35fbda22f72cc73e1598e3e5ff9..0000000000000000000000000000000000000000
--- a/spaces/chasemcdo/hf_localai/api/api_test.go
+++ /dev/null
@@ -1,514 +0,0 @@
-package api_test
-
-import (
-	"bytes"
-	"context"
-	"embed"
-	"encoding/json"
-	"fmt"
-	"io/ioutil"
-	"net/http"
-	"os"
-	"path/filepath"
-	"runtime"
-
-	. "github.com/go-skynet/LocalAI/api"
-	"github.com/go-skynet/LocalAI/pkg/gallery"
-	"github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/go-skynet/LocalAI/pkg/utils"
-	"github.com/gofiber/fiber/v2"
-	. "github.com/onsi/ginkgo/v2"
-	. "github.com/onsi/gomega"
-	"gopkg.in/yaml.v3"
-
-	openaigo "github.com/otiai10/openaigo"
-	"github.com/sashabaranov/go-openai"
-)
-
-type modelApplyRequest struct {
-	ID        string            `json:"id"`
-	URL       string            `json:"url"`
-	Name      string            `json:"name"`
-	Overrides map[string]string `json:"overrides"`
-}
-
-func getModelStatus(url string) (response map[string]interface{}) {
-	// Create the HTTP request
-	resp, err := http.Get(url)
-	if err != nil {
-		fmt.Println("Error creating request:", err)
-		return
-	}
-	defer resp.Body.Close()
-
-	body, err := ioutil.ReadAll(resp.Body)
-	if err != nil {
-		fmt.Println("Error reading response body:", err)
-		return
-	}
-
-	// Unmarshal the response into a map[string]interface{}
-	err = json.Unmarshal(body, &response)
-	if err != nil {
-		fmt.Println("Error unmarshaling JSON response:", err)
-		return
-	}
-	return
-}
-
-func getModels(url string) (response []gallery.GalleryModel) {
-	utils.GetURI(url, func(url string, i []byte) error {
-		// Unmarshal YAML data into a struct
-		return json.Unmarshal(i, &response)
-	})
-	return
-}
-
-func postModelApplyRequest(url string, request modelApplyRequest) (response map[string]interface{}) {
-
-	//url := "http://localhost:AI/models/apply"
-
-	// Create the request payload
-
-	payload, err := json.Marshal(request)
-	if err != nil {
-		fmt.Println("Error marshaling JSON:", err)
-		return
-	}
-
-	// Create the HTTP request
-	req, err := http.NewRequest("POST", url, bytes.NewBuffer(payload))
-	if err != nil {
-		fmt.Println("Error creating request:", err)
-		return
-	}
-	req.Header.Set("Content-Type", "application/json")
-
-	// Make the request
-	client := &http.Client{}
-	resp, err := client.Do(req)
-	if err != nil {
-		fmt.Println("Error making request:", err)
-		return
-	}
-	defer resp.Body.Close()
-
-	body, err := ioutil.ReadAll(resp.Body)
-	if err != nil {
-		fmt.Println("Error reading response body:", err)
-		return
-	}
-
-	// Unmarshal the response into a map[string]interface{}
-	err = json.Unmarshal(body, &response)
-	if err != nil {
-		fmt.Println("Error unmarshaling JSON response:", err)
-		return
-	}
-	return
-}
-
-//go:embed backend-assets/*
-var backendAssets embed.FS
-
-var _ = Describe("API test", func() {
-
-	var app *fiber.App
-	var modelLoader *model.ModelLoader
-	var client *openai.Client
-	var client2 *openaigo.Client
-	var c context.Context
-	var cancel context.CancelFunc
-	var tmpdir string
-
-	Context("API with ephemeral models", func() {
-		BeforeEach(func() {
-			var err error
-			tmpdir, err = os.MkdirTemp("", "")
-			Expect(err).ToNot(HaveOccurred())
-
-			modelLoader = model.NewModelLoader(tmpdir)
-			c, cancel = context.WithCancel(context.Background())
-
-			g := []gallery.GalleryModel{
-				{
-					Name: "bert",
-					URL:  "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
-				},
-				{
-					Name:            "bert2",
-					URL:             "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
-					Overrides:       map[string]interface{}{"foo": "bar"},
-					AdditionalFiles: []gallery.File{gallery.File{Filename: "foo.yaml", URI: "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml"}},
-				},
-			}
-			out, err := yaml.Marshal(g)
-			Expect(err).ToNot(HaveOccurred())
-			err = ioutil.WriteFile(filepath.Join(tmpdir, "gallery_simple.yaml"), out, 0644)
-			Expect(err).ToNot(HaveOccurred())
-
-			galleries := []gallery.Gallery{
-				{
-					Name: "test",
-					URL:  "file://" + filepath.Join(tmpdir, "gallery_simple.yaml"),
-				},
-			}
-
-			app, err = App(WithContext(c),
-				WithGalleries(galleries),
-				WithModelLoader(modelLoader), WithBackendAssets(backendAssets), WithBackendAssetsOutput(tmpdir))
-			Expect(err).ToNot(HaveOccurred())
-			go app.Listen("127.0.0.1:9090")
-
-			defaultConfig := openai.DefaultConfig("")
-			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
-
-			client2 = openaigo.NewClient("")
-			client2.BaseURL = defaultConfig.BaseURL
-
-			// Wait for API to be ready
-			client = openai.NewClientWithConfig(defaultConfig)
-			Eventually(func() error {
-				_, err := client.ListModels(context.TODO())
-				return err
-			}, "2m").ShouldNot(HaveOccurred())
-		})
-
-		AfterEach(func() {
-			cancel()
-			app.Shutdown()
-			os.RemoveAll(tmpdir)
-		})
-
-		Context("Applying models", func() {
-			It("applies models from a gallery", func() {
-
-				models := getModels("http://127.0.0.1:9090/models/available")
-				Expect(len(models)).To(Equal(2), fmt.Sprint(models))
-				Expect(models[0].Installed).To(BeFalse(), fmt.Sprint(models))
-				Expect(models[1].Installed).To(BeFalse(), fmt.Sprint(models))
-
-				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
-					ID: "test@bert2",
-				})
-
-				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
-
-				uuid := response["uuid"].(string)
-				resp := map[string]interface{}{}
-				Eventually(func() bool {
-					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
-					fmt.Println(response)
-					resp = response
-					return response["processed"].(bool)
-				}, "360s").Should(Equal(true))
-				Expect(resp["message"]).ToNot(ContainSubstring("error"))
-
-				dat, err := os.ReadFile(filepath.Join(tmpdir, "bert2.yaml"))
-				Expect(err).ToNot(HaveOccurred())
-
-				_, err = os.ReadFile(filepath.Join(tmpdir, "foo.yaml"))
-				Expect(err).ToNot(HaveOccurred())
-
-				content := map[string]interface{}{}
-				err = yaml.Unmarshal(dat, &content)
-				Expect(err).ToNot(HaveOccurred())
-				Expect(content["backend"]).To(Equal("bert-embeddings"))
-				Expect(content["foo"]).To(Equal("bar"))
-
-				models = getModels("http://127.0.0.1:9090/models/available")
-				Expect(len(models)).To(Equal(2), fmt.Sprint(models))
-				Expect(models[0].Name).To(Or(Equal("bert"), Equal("bert2")))
-				Expect(models[1].Name).To(Or(Equal("bert"), Equal("bert2")))
-				for _, m := range models {
-					if m.Name == "bert2" {
-						Expect(m.Installed).To(BeTrue())
-					} else {
-						Expect(m.Installed).To(BeFalse())
-					}
-				}
-			})
-			It("overrides models", func() {
-				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
-					URL:  "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
-					Name: "bert",
-					Overrides: map[string]string{
-						"backend": "llama",
-					},
-				})
-
-				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
-
-				uuid := response["uuid"].(string)
-
-				Eventually(func() bool {
-					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
-					fmt.Println(response)
-					return response["processed"].(bool)
-				}, "360s").Should(Equal(true))
-
-				dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
-				Expect(err).ToNot(HaveOccurred())
-
-				content := map[string]interface{}{}
-				err = yaml.Unmarshal(dat, &content)
-				Expect(err).ToNot(HaveOccurred())
-				Expect(content["backend"]).To(Equal("llama"))
-			})
-			It("apply models without overrides", func() {
-				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
-					URL:       "https://raw.githubusercontent.com/go-skynet/model-gallery/main/bert-embeddings.yaml",
-					Name:      "bert",
-					Overrides: map[string]string{},
-				})
-
-				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
-
-				uuid := response["uuid"].(string)
-
-				Eventually(func() bool {
-					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
-					fmt.Println(response)
-					return response["processed"].(bool)
-				}, "360s").Should(Equal(true))
-
-				dat, err := os.ReadFile(filepath.Join(tmpdir, "bert.yaml"))
-				Expect(err).ToNot(HaveOccurred())
-
-				content := map[string]interface{}{}
-				err = yaml.Unmarshal(dat, &content)
-				Expect(err).ToNot(HaveOccurred())
-				Expect(content["backend"]).To(Equal("bert-embeddings"))
-			})
-
-			It("runs openllama", Label("llama"), func() {
-				if runtime.GOOS != "linux" {
-					Skip("test supported only on linux")
-				}
-				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
-					URL:       "github:go-skynet/model-gallery/openllama_3b.yaml",
-					Name:      "openllama_3b",
-					Overrides: map[string]string{},
-				})
-
-				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
-
-				uuid := response["uuid"].(string)
-
-				Eventually(func() bool {
-					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
-					fmt.Println(response)
-					return response["processed"].(bool)
-				}, "360s").Should(Equal(true))
-
-				resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "openllama_3b", Prompt: "Count up to five: one, two, three, four, "})
-				Expect(err).ToNot(HaveOccurred())
-				Expect(len(resp.Choices)).To(Equal(1))
-				Expect(resp.Choices[0].Text).To(ContainSubstring("five"))
-			})
-
-			It("runs gpt4all", Label("gpt4all"), func() {
-				if runtime.GOOS != "linux" {
-					Skip("test supported only on linux")
-				}
-
-				response := postModelApplyRequest("http://127.0.0.1:9090/models/apply", modelApplyRequest{
-					URL:       "github:go-skynet/model-gallery/gpt4all-j.yaml",
-					Name:      "gpt4all-j",
-					Overrides: map[string]string{},
-				})
-
-				Expect(response["uuid"]).ToNot(BeEmpty(), fmt.Sprint(response))
-
-				uuid := response["uuid"].(string)
-
-				Eventually(func() bool {
-					response := getModelStatus("http://127.0.0.1:9090/models/jobs/" + uuid)
-					fmt.Println(response)
-					return response["processed"].(bool)
-				}, "360s").Should(Equal(true))
-
-				resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "gpt4all-j", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "How are you?"}}})
-				Expect(err).ToNot(HaveOccurred())
-				Expect(len(resp.Choices)).To(Equal(1))
-				Expect(resp.Choices[0].Message.Content).To(ContainSubstring("well"))
-			})
-		})
-	})
-
-	Context("API query", func() {
-		BeforeEach(func() {
-			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			c, cancel = context.WithCancel(context.Background())
-
-			var err error
-			app, err = App(WithContext(c), WithModelLoader(modelLoader))
-			Expect(err).ToNot(HaveOccurred())
-			go app.Listen("127.0.0.1:9090")
-
-			defaultConfig := openai.DefaultConfig("")
-			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
-
-			client2 = openaigo.NewClient("")
-			client2.BaseURL = defaultConfig.BaseURL
-
-			// Wait for API to be ready
-			client = openai.NewClientWithConfig(defaultConfig)
-			Eventually(func() error {
-				_, err := client.ListModels(context.TODO())
-				return err
-			}, "2m").ShouldNot(HaveOccurred())
-		})
-		AfterEach(func() {
-			cancel()
-			app.Shutdown()
-		})
-		It("returns the models list", func() {
-			models, err := client.ListModels(context.TODO())
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(10))
-		})
-		It("can generate completions", func() {
-			resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel", Prompt: "abcdedfghikl"})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
-		})
-
-		It("can generate chat completions ", func() {
-			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "testmodel", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
-		})
-
-		It("can generate completions from model configs", func() {
-			resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "gpt4all", Prompt: "abcdedfghikl"})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
-		})
-
-		It("can generate chat completions from model configs", func() {
-			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "gpt4all-2", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
-		})
-
-		It("returns errors", func() {
-			_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: "abcdedfghikl"})
-			Expect(err).To(HaveOccurred())
-			Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: could not load model - all backends returned error: 11 errors occurred:"))
-		})
-		It("transcribes audio", func() {
-			if runtime.GOOS != "linux" {
-				Skip("test supported only on linux")
-			}
-			resp, err := client.CreateTranscription(
-				context.Background(),
-				openai.AudioRequest{
-					Model:    openai.Whisper1,
-					FilePath: filepath.Join(os.Getenv("TEST_DIR"), "audio.wav"),
-				},
-			)
-			Expect(err).ToNot(HaveOccurred())
-			Expect(resp.Text).To(ContainSubstring("This is the Micro Machine Man presenting"))
-		})
-
-		It("calculate embeddings", func() {
-			if runtime.GOOS != "linux" {
-				Skip("test supported only on linux")
-			}
-			resp, err := client.CreateEmbeddings(
-				context.Background(),
-				openai.EmbeddingRequest{
-					Model: openai.AdaEmbeddingV2,
-					Input: []string{"sun", "cat"},
-				},
-			)
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 384))
-			Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 384))
-
-			sunEmbedding := resp.Data[0].Embedding
-			resp2, err := client.CreateEmbeddings(
-				context.Background(),
-				openai.EmbeddingRequest{
-					Model: openai.AdaEmbeddingV2,
-					Input: []string{"sun"},
-				},
-			)
-			Expect(err).ToNot(HaveOccurred())
-			Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
-		})
-
-		Context("backends", func() {
-			It("runs rwkv", func() {
-				if runtime.GOOS != "linux" {
-					Skip("test supported only on linux")
-				}
-				resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "rwkv_test", Prompt: "Count up to five: one, two, three, four,"})
-				Expect(err).ToNot(HaveOccurred())
-				Expect(len(resp.Choices) > 0).To(BeTrue())
-				Expect(resp.Choices[0].Text).To(Equal(" five."))
-			})
-		})
-	})
-
-	Context("Config file", func() {
-		BeforeEach(func() {
-			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			c, cancel = context.WithCancel(context.Background())
-
-			var err error
-			app, err = App(WithContext(c), WithModelLoader(modelLoader), WithConfigFile(os.Getenv("CONFIG_FILE")))
-			Expect(err).ToNot(HaveOccurred())
-			go app.Listen("127.0.0.1:9090")
-
-			defaultConfig := openai.DefaultConfig("")
-			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
-			client2 = openaigo.NewClient("")
-			client2.BaseURL = defaultConfig.BaseURL
-			// Wait for API to be ready
-			client = openai.NewClientWithConfig(defaultConfig)
-			Eventually(func() error {
-				_, err := client.ListModels(context.TODO())
-				return err
-			}, "2m").ShouldNot(HaveOccurred())
-		})
-		AfterEach(func() {
-			cancel()
-			app.Shutdown()
-		})
-		It("can generate chat completions from config file", func() {
-			models, err := client.ListModels(context.TODO())
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(12))
-		})
-		It("can generate chat completions from config file", func() {
-			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
-		})
-		It("can generate chat completions from config file", func() {
-			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list2", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
-		})
-		It("can generate edit completions from config file", func() {
-			request := openaigo.EditCreateRequestBody{
-				Model:       "list2",
-				Instruction: "foo",
-				Input:       "bar",
-			}
-			resp, err := client2.CreateEdit(context.Background(), request)
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
-		})
-
-	})
-})
diff --git a/spaces/chendl/compositional_test/multimodal/YOLOX/yolox/evaluators/coco_evaluator.py b/spaces/chendl/compositional_test/multimodal/YOLOX/yolox/evaluators/coco_evaluator.py
deleted file mode 100644
index e218c745624e5330dbae37dcac60f83052bf2f31..0000000000000000000000000000000000000000
--- a/spaces/chendl/compositional_test/multimodal/YOLOX/yolox/evaluators/coco_evaluator.py
+++ /dev/null
@@ -1,317 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding:utf-8 -*-
-# Copyright (c) Megvii, Inc. and its affiliates.
-
-import contextlib
-import io
-import itertools
-import json
-import tempfile
-import time
-from collections import ChainMap, defaultdict
-from loguru import logger
-from tabulate import tabulate
-from tqdm import tqdm
-
-import numpy as np
-
-import torch
-
-from yolox.data.datasets import COCO_CLASSES
-from yolox.utils import (
-    gather,
-    is_main_process,
-    postprocess,
-    synchronize,
-    time_synchronized,
-    xyxy2xywh
-)
-
-
-def per_class_AR_table(coco_eval, class_names=COCO_CLASSES, headers=["class", "AR"], colums=6):
-    per_class_AR = {}
-    recalls = coco_eval.eval["recall"]
-    # dimension of recalls: [TxKxAxM]
-    # recall has dims (iou, cls, area range, max dets)
-    assert len(class_names) == recalls.shape[1]
-
-    for idx, name in enumerate(class_names):
-        recall = recalls[:, idx, 0, -1]
-        recall = recall[recall > -1]
-        ar = np.mean(recall) if recall.size else float("nan")
-        per_class_AR[name] = float(ar * 100)
-
-    num_cols = min(colums, len(per_class_AR) * len(headers))
-    result_pair = [x for pair in per_class_AR.items() for x in pair]
-    row_pair = itertools.zip_longest(*[result_pair[i::num_cols] for i in range(num_cols)])
-    table_headers = headers * (num_cols // len(headers))
-    table = tabulate(
-        row_pair, tablefmt="pipe", floatfmt=".3f", headers=table_headers, numalign="left",
-    )
-    return table
-
-
-def per_class_AP_table(coco_eval, class_names=COCO_CLASSES, headers=["class", "AP"], colums=6):
-    per_class_AP = {}
-    precisions = coco_eval.eval["precision"]
-    # dimension of precisions: [TxRxKxAxM]
-    # precision has dims (iou, recall, cls, area range, max dets)
-    assert len(class_names) == precisions.shape[2]
-
-    for idx, name in enumerate(class_names):
-        # area range index 0: all area ranges
-        # max dets index -1: typically 100 per image
-        precision = precisions[:, :, idx, 0, -1]
-        precision = precision[precision > -1]
-        ap = np.mean(precision) if precision.size else float("nan")
-        per_class_AP[name] = float(ap * 100)
-
-    num_cols = min(colums, len(per_class_AP) * len(headers))
-    result_pair = [x for pair in per_class_AP.items() for x in pair]
-    row_pair = itertools.zip_longest(*[result_pair[i::num_cols] for i in range(num_cols)])
-    table_headers = headers * (num_cols // len(headers))
-    table = tabulate(
-        row_pair, tablefmt="pipe", floatfmt=".3f", headers=table_headers, numalign="left",
-    )
-    return table
-
-
-class COCOEvaluator:
-    """
-    COCO AP Evaluation class.  All the data in the val2017 dataset are processed
-    and evaluated by COCO API.
-    """
-
-    def __init__(
-        self,
-        dataloader,
-        img_size: int,
-        confthre: float,
-        nmsthre: float,
-        num_classes: int,
-        testdev: bool = False,
-        per_class_AP: bool = True,
-        per_class_AR: bool = True,
-    ):
-        """
-        Args:
-            dataloader (Dataloader): evaluate dataloader.
-            img_size: image size after preprocess. images are resized
-                to squares whose shape is (img_size, img_size).
-            confthre: confidence threshold ranging from 0 to 1, which
-                is defined in the config file.
-            nmsthre: IoU threshold of non-max supression ranging from 0 to 1.
-            per_class_AP: Show per class AP during evalution or not. Default to True.
-            per_class_AR: Show per class AR during evalution or not. Default to True.
-        """
-        self.dataloader = dataloader
-        self.img_size = img_size
-        self.confthre = confthre
-        self.nmsthre = nmsthre
-        self.num_classes = num_classes
-        self.testdev = testdev
-        self.per_class_AP = per_class_AP
-        self.per_class_AR = per_class_AR
-
-    def evaluate(
-        self, model, distributed=False, half=False, trt_file=None,
-        decoder=None, test_size=None, return_outputs=False
-    ):
-        """
-        COCO average precision (AP) Evaluation. Iterate inference on the test dataset
-        and the results are evaluated by COCO API.
-
-        NOTE: This function will change training mode to False, please save states if needed.
-
-        Args:
-            model : model to evaluate.
-
-        Returns:
-            ap50_95 (float) : COCO AP of IoU=50:95
-            ap50 (float) : COCO AP of IoU=50
-            summary (sr): summary info of evaluation.
-        """
-        # TODO half to amp_test
-        tensor_type = torch.cuda.HalfTensor if half else torch.cuda.FloatTensor
-        model = model.eval()
-        if half:
-            model = model.half()
-        ids = []
-        data_list = []
-        output_data = defaultdict()
-        progress_bar = tqdm if is_main_process() else iter
-
-        inference_time = 0
-        nms_time = 0
-        n_samples = max(len(self.dataloader) - 1, 1)
-
-        if trt_file is not None:
-            from torch2trt import TRTModule
-
-            model_trt = TRTModule()
-            model_trt.load_state_dict(torch.load(trt_file))
-
-            x = torch.ones(1, 3, test_size[0], test_size[1]).cuda()
-            model(x)
-            model = model_trt
-
-        for cur_iter, (imgs, _, info_imgs, ids) in enumerate(
-            progress_bar(self.dataloader)
-        ):
-            with torch.no_grad():
-                imgs = imgs.type(tensor_type)
-
-                # skip the last iters since batchsize might be not enough for batch inference
-                is_time_record = cur_iter < len(self.dataloader) - 1
-                if is_time_record:
-                    start = time.time()
-
-                outputs = model(imgs)
-                if decoder is not None:
-                    outputs = decoder(outputs, dtype=outputs.type())
-
-                if is_time_record:
-                    infer_end = time_synchronized()
-                    inference_time += infer_end - start
-
-                outputs = postprocess(
-                    outputs, self.num_classes, self.confthre, self.nmsthre
-                )
-                if is_time_record:
-                    nms_end = time_synchronized()
-                    nms_time += nms_end - infer_end
-
-            data_list_elem, image_wise_data = self.convert_to_coco_format(
-                outputs, info_imgs, ids, return_outputs=True)
-            data_list.extend(data_list_elem)
-            output_data.update(image_wise_data)
-
-        statistics = torch.cuda.FloatTensor([inference_time, nms_time, n_samples])
-        if distributed:
-            # different process/device might have different speed,
-            # to make sure the process will not be stucked, sync func is used here.
-            synchronize()
-            data_list = gather(data_list, dst=0)
-            output_data = gather(output_data, dst=0)
-            data_list = list(itertools.chain(*data_list))
-            output_data = dict(ChainMap(*output_data))
-            torch.distributed.reduce(statistics, dst=0)
-
-        eval_results = self.evaluate_prediction(data_list, statistics)
-        synchronize()
-
-        if return_outputs:
-            return eval_results, output_data
-        return eval_results
-
-    def convert_to_coco_format(self, outputs, info_imgs, ids, return_outputs=False):
-        data_list = []
-        image_wise_data = defaultdict(dict)
-        for (output, img_h, img_w, img_id) in zip(
-            outputs, info_imgs[0], info_imgs[1], ids
-        ):
-            if output is None:
-                continue
-            output = output.cpu()
-
-            bboxes = output[:, 0:4]
-
-            # preprocessing: resize
-            scale = min(
-                self.img_size[0] / float(img_h), self.img_size[1] / float(img_w)
-            )
-            bboxes /= scale
-            cls = output[:, 6]
-            scores = output[:, 4] * output[:, 5]
-
-            image_wise_data.update({
-                int(img_id): {
-                    "bboxes": [box.numpy().tolist() for box in bboxes],
-                    "scores": [score.numpy().item() for score in scores],
-                    "categories": [
-                        self.dataloader.dataset.class_ids[int(cls[ind])]
-                        for ind in range(bboxes.shape[0])
-                    ],
-                }
-            })
-
-            bboxes = xyxy2xywh(bboxes)
-
-            for ind in range(bboxes.shape[0]):
-                label = self.dataloader.dataset.class_ids[int(cls[ind])]
-                pred_data = {
-                    "image_id": int(img_id),
-                    "category_id": label,
-                    "bbox": bboxes[ind].numpy().tolist(),
-                    "score": scores[ind].numpy().item(),
-                    "segmentation": [],
-                }  # COCO json format
-                data_list.append(pred_data)
-
-        if return_outputs:
-            return data_list, image_wise_data
-        return data_list
-
-    def evaluate_prediction(self, data_dict, statistics):
-        if not is_main_process():
-            return 0, 0, None
-
-        logger.info("Evaluate in main process...")
-
-        annType = ["segm", "bbox", "keypoints"]
-
-        inference_time = statistics[0].item()
-        nms_time = statistics[1].item()
-        n_samples = statistics[2].item()
-
-        a_infer_time = 1000 * inference_time / (n_samples * self.dataloader.batch_size)
-        a_nms_time = 1000 * nms_time / (n_samples * self.dataloader.batch_size)
-
-        time_info = ", ".join(
-            [
-                "Average {} time: {:.2f} ms".format(k, v)
-                for k, v in zip(
-                    ["forward", "NMS", "inference"],
-                    [a_infer_time, a_nms_time, (a_infer_time + a_nms_time)],
-                )
-            ]
-        )
-
-        info = time_info + "\n"
-
-        # Evaluate the Dt (detection) json comparing with the ground truth
-        if len(data_dict) > 0:
-            cocoGt = self.dataloader.dataset.coco
-            # TODO: since pycocotools can't process dict in py36, write data to json file.
-            if self.testdev:
-                json.dump(data_dict, open("./yolox_testdev_2017.json", "w"))
-                cocoDt = cocoGt.loadRes("./yolox_testdev_2017.json")
-            else:
-                _, tmp = tempfile.mkstemp()
-                json.dump(data_dict, open(tmp, "w"))
-                cocoDt = cocoGt.loadRes(tmp)
-            try:
-                from yolox.layers import COCOeval_opt as COCOeval
-            except ImportError:
-                from pycocotools.cocoeval import COCOeval
-
-                logger.warning("Use standard COCOeval.")
-
-            cocoEval = COCOeval(cocoGt, cocoDt, annType[1])
-            cocoEval.evaluate()
-            cocoEval.accumulate()
-            redirect_string = io.StringIO()
-            with contextlib.redirect_stdout(redirect_string):
-                cocoEval.summarize()
-            info += redirect_string.getvalue()
-            cat_ids = list(cocoGt.cats.keys())
-            cat_names = [cocoGt.cats[catId]['name'] for catId in sorted(cat_ids)]
-            if self.per_class_AP:
-                AP_table = per_class_AP_table(cocoEval, class_names=cat_names)
-                info += "per class AP:\n" + AP_table + "\n"
-            if self.per_class_AR:
-                AR_table = per_class_AR_table(cocoEval, class_names=cat_names)
-                info += "per class AR:\n" + AR_table + "\n"
-            return cocoEval.stats[0], cocoEval.stats[1], info
-        else:
-            return 0, 0, info
diff --git a/spaces/chenyangqi/FateZero/FateZero/video_diffusion/common/util.py b/spaces/chenyangqi/FateZero/FateZero/video_diffusion/common/util.py
deleted file mode 100644
index 3b102a9938da8e555ecc8947ce9db52ad9123c45..0000000000000000000000000000000000000000
--- a/spaces/chenyangqi/FateZero/FateZero/video_diffusion/common/util.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import os
-import sys
-import copy
-import inspect
-import datetime
-from typing import List, Tuple, Optional, Dict
-import torch
-
-def glob_files(
-    root_path: str,
-    extensions: Tuple[str],
-    recursive: bool = True,
-    skip_hidden_directories: bool = True,
-    max_directories: Optional[int] = None,
-    max_files: Optional[int] = None,
-    relative_path: bool = False,
-) -> Tuple[List[str], bool, bool]:
-    """glob files with specified extensions
-
-    Args:
-        root_path (str): _description_
-        extensions (Tuple[str]): _description_
-        recursive (bool, optional): _description_. Defaults to True.
-        skip_hidden_directories (bool, optional): _description_. Defaults to True.
-        max_directories (Optional[int], optional): max number of directories to search. Defaults to None.
-        max_files (Optional[int], optional): max file number limit. Defaults to None.
-        relative_path (bool, optional): _description_. Defaults to False.
-
-    Returns:
-        Tuple[List[str], bool, bool]: _description_
-    """
-    paths = []
-    hit_max_directories = False
-    hit_max_files = False
-    for directory_idx, (directory, _, fnames) in enumerate(os.walk(root_path, followlinks=True)):
-        if skip_hidden_directories and os.path.basename(directory).startswith("."):
-            continue
-
-        if max_directories is not None and directory_idx >= max_directories:
-            hit_max_directories = True
-            break
-
-        paths += [
-            os.path.join(directory, fname)
-            for fname in sorted(fnames)
-            if fname.lower().endswith(extensions)
-        ]
-
-        if not recursive:
-            break
-
-        if max_files is not None and len(paths) > max_files:
-            hit_max_files = True
-            paths = paths[:max_files]
-            break
-
-    if relative_path:
-        paths = [os.path.relpath(p, root_path) for p in paths]
-
-    return paths, hit_max_directories, hit_max_files
-
-
-def get_time_string() -> str:
-    x = datetime.datetime.now()
-    return f"{(x.year - 2000):02d}{x.month:02d}{x.day:02d}-{x.hour:02d}{x.minute:02d}{x.second:02d}"
-
-
-def get_function_args() -> Dict:
-    frame = sys._getframe(1)
-    args, _, _, values = inspect.getargvalues(frame)
-    tmp_dict = {}
-    for arg in args: 
-        v = values[arg]
-        if not isinstance(v, torch.nn.Module) and arg !='tokenizer' :
-            tmp_dict[arg] = v
-    
-    args_dict = copy.deepcopy(tmp_dict)
-
-    return args_dict
diff --git a/spaces/chenyangqi/FateZero/FateZero/video_diffusion/pipelines/validation_loop.py b/spaces/chenyangqi/FateZero/FateZero/video_diffusion/pipelines/validation_loop.py
deleted file mode 100644
index f9373d17f154752a8767302389a2caa33b9922cd..0000000000000000000000000000000000000000
--- a/spaces/chenyangqi/FateZero/FateZero/video_diffusion/pipelines/validation_loop.py
+++ /dev/null
@@ -1,154 +0,0 @@
-import os
-import numpy as  np
-from typing import Callable, List, Optional, Union
-import PIL
-
-
-import torch
-import torch.utils.data
-import torch.utils.checkpoint
-
-from diffusers.pipeline_utils import DiffusionPipeline
-from tqdm.auto import tqdm
-from video_diffusion.common.image_util import make_grid, annotate_image
-from video_diffusion.common.image_util import save_gif_mp4_folder_type
-
-
-class SampleLogger:
-    def __init__(
-        self,
-        prompts: List[str],
-        clip_length: int,
-        logdir: str,
-        subdir: str = "sample",
-        num_samples_per_prompt: int = 1,
-        sample_seeds: List[int] = None,
-        num_inference_steps: int = 20,
-        guidance_scale: float = 7,
-        strength: float = None,
-        annotate: bool = True,
-        annotate_size: int = 15,
-        make_grid: bool = True,
-        grid_column_size: int = 2,
-        prompt2prompt_edit: bool=False,
-        **args
-        
-    ) -> None:
-        self.prompts = prompts
-        self.clip_length = clip_length
-        self.guidance_scale = guidance_scale
-        self.num_inference_steps = num_inference_steps
-        self.strength = strength
-        
-        if sample_seeds is None:
-            max_num_samples_per_prompt = int(1e5)
-            if num_samples_per_prompt > max_num_samples_per_prompt:
-                raise ValueError
-            sample_seeds = torch.randint(0, max_num_samples_per_prompt, (num_samples_per_prompt,))
-            sample_seeds = sorted(sample_seeds.numpy().tolist())
-        self.sample_seeds = sample_seeds
-
-        self.logdir = os.path.join(logdir, subdir)
-        os.makedirs(self.logdir)
-
-        self.annotate = annotate
-        self.annotate_size = annotate_size
-        self.make_grid = make_grid
-        self.grid_column_size = grid_column_size
-        self.prompt2prompt_edit = prompt2prompt_edit
-
-    def log_sample_images(
-        self, pipeline: DiffusionPipeline,
-        device: torch.device, step: int,
-        image: Union[torch.FloatTensor, PIL.Image.Image] = None,
-        latents: torch.FloatTensor = None,
-        uncond_embeddings_list: List[torch.FloatTensor] = None,
-    ):
-        torch.cuda.empty_cache()
-        samples_all = []
-        attention_all = []
-        # handle input image
-        if image is not None:
-            input_pil_images = pipeline.numpy_to_pil(tensor_to_numpy(image))[0]
-            samples_all.append([
-                            annotate_image(image, "input sequence", font_size=self.annotate_size) for image in input_pil_images
-                        ])
-        for idx, prompt in enumerate(tqdm(self.prompts, desc="Generating sample images")):
-            if self.prompt2prompt_edit:
-                if idx == 0:
-                    edit_type = 'save'
-                else:
-                    edit_type = 'swap'
-            else:
-                edit_type = None
-            for seed in self.sample_seeds:
-                generator = torch.Generator(device=device)
-                generator.manual_seed(seed)
-                # if isinstance(pipeline, SDeditSpatioTemporalStableDiffusionPipeline):
-                sequence_return = pipeline(
-                    prompt=prompt,
-                    edit_type = edit_type,
-                    image=image, # torch.Size([8, 3, 512, 512])
-                    strength=self.strength,
-                    generator=generator,
-                    num_inference_steps=self.num_inference_steps,
-                    clip_length=self.clip_length,
-                    guidance_scale=self.guidance_scale,
-                    num_images_per_prompt=1,
-                    # used in null inversion
-                    latents = latents,
-                    uncond_embeddings_list = uncond_embeddings_list,
-                    # Put the source prompt at the first one, when using p2p
-                    # edit_type = edit_type
-                )
-                if self.prompt2prompt_edit:
-                    sequence = sequence_return['sdimage_output'].images[0]
-                    attention_output = sequence_return['attention_output']
-                    if ddim_latents_all_step in sequence_return:
-                        ddim_latents_all_step = sequence_return['ddim_latents_all_step']
-                else:
-                    sequence = sequence_return.images[0]
-                torch.cuda.empty_cache()
-
-                if self.annotate:
-                    images = [
-                        annotate_image(image, prompt, font_size=self.annotate_size) for image in sequence
-                    ]
-
-                if self.make_grid:
-                    samples_all.append(images)
-                    if self.prompt2prompt_edit:
-                        attention_all.append(attention_output)
-                # else:
-                save_path = os.path.join(self.logdir, f"step_{step}_{idx}_{seed}.gif")
-                # save_path_mp4 = save_path.replace('gif', 'mp4')
-                # save_path_folder = save_path.replace('.gif', '')
-                # save_images_as_gif(images, save_path)
-                # save_images_as_mp4(images, save_path_mp4)
-                # save_images_as_folder(images, save_path_folder)
-                save_gif_mp4_folder_type(images, save_path)
-                if self.prompt2prompt_edit:
-                    save_gif_mp4_folder_type(attention_output, save_path.replace('.gif', 'atten.gif'))
-        
-        if self.make_grid:
-            samples_all = [make_grid(images, cols=int(np.ceil(np.sqrt(len(samples_all))))) for images in zip(*samples_all)]
-            save_path = os.path.join(self.logdir, f"step_{step}.gif")
-            # save_images_as_gif(samples_all, save_path)
-            save_gif_mp4_folder_type(samples_all, save_path)
-            if self.prompt2prompt_edit:
-                attention_all = [make_grid(images, cols=1) for images in zip(*attention_all)]
-                # save_path = os.path.join(self.logdir, f"step_{step}.gif")
-                # save_images_as_gif(samples_all, save_path)
-                save_gif_mp4_folder_type(attention_all, save_path.replace('.gif', 'atten.gif'))
-        return samples_all
-
-
-from einops import rearrange
-
-def tensor_to_numpy(image, b=1):
-    image = (image / 2 + 0.5).clamp(0, 1)
-    # we always cast to float32 as this does not cause significant overhead and is compatible with bfloa16
-
-    image = image.cpu().float().numpy()
-    image = rearrange(image, "(b f) c h w -> b f h w c", b=b)
-    return image
\ No newline at end of file
diff --git a/spaces/chrisjay/mnist-adversarial/utils.py b/spaces/chrisjay/mnist-adversarial/utils.py
deleted file mode 100644
index ed89d8413d237522d4c9cc951df649677318eb58..0000000000000000000000000000000000000000
--- a/spaces/chrisjay/mnist-adversarial/utils.py
+++ /dev/null
@@ -1,84 +0,0 @@
-
-import json
-import hashlib
-import random
-import string
-import warnings
-import matplotlib.pyplot as plt
-
-TITLE = "# MNIST Adversarial: Try to fool this MNIST model"
-description = """This project is about dynamic adversarial data collection (DADC). 
-The basic idea is to collect “adversarial data” - the kind of data that is difficult for a model to predict correctly. 
-This kind of data is presumably the most valuable for a model, so this can be helpful in low-resource settings where data is hard to collect and label.
-"""
-WHAT_TO_DO="""
-### What to do:
-1. Draw any number from 0-9. The model will automatically try to predict it after drawing.
-2. If the model misclassifies it, Flag that example.
-3. This will add your (adversarial) example to a dataset on which the model will be trained later.
-4. The model will finetune on the adversarial samples after every __{num_samples}__ samples have been generated. 
-"""
-
-MODEL_IS_WRONG = """
---- 
-### Did the model get it wrong or has a low confidence? Choose the correct prediction below and flag it. When you flag it, the instance is saved [here](https://huggingface.co/datasets/chrisjay/mnist-adversarial-dataset) and the model learns from it periodically.
-"""
-DEFAULT_TEST_METRIC = "<html> Current test metric - Avg. loss: 1000, Accuracy: 30/1000 (30%) </html>"
-
-DASHBOARD_EXPLANATION="To test the effect of adversarial training on out-of-distribution data, we track the performance progress of the model on the [MNIST Corrupted test dataset](https://zenodo.org/record/3239543). We are using {TEST_PER_SAMPLE} samples per digit."
-DASHBOARD_EXPLANATION_TEST="Test accuracy on out-of-distribution data for all numbers combined."
-
-STATS_EXPLANATION = "Here is the distribution of the __{num_adv_samples}__ adversarial samples we've got. The dataset can be found [here](https://huggingface.co/datasets/chrisjay/mnist-adversarial-dataset)."
-
-def get_unique_name():
-    return ''.join([random.choice(string.ascii_letters
-            + string.digits) for n in range(32)])
-
-
-def read_json(file):
-    with open(file,'r',encoding="utf8") as f:
-        return json.load(f)
-
-def read_json_lines(file):
-    try:
-        with open(file,'r',encoding="utf8") as f:
-            lines = f.readlines()
-            data=[]
-            for l in lines:
-                data.append(json.loads(l))
-            return data
-    except Exception as err:
-        warnings.warn(f"{err}")
-        return None 
-
-
-def json_dump(thing):
-    return json.dumps(thing,
-                        ensure_ascii=False,
-                        sort_keys=True,
-                        indent=None,
-                        separators=(',', ':'))
-
-def get_hash(thing): # stable-hashing
-    return str(hashlib.md5(json_dump(thing).encode('utf-8')).hexdigest())
-
-
-def dump_json(thing,file):
-    with open(file,'w+',encoding="utf8") as f:
-        json.dump(thing,f)
-
-
-def plot_bar(value,name,x_name,y_name,title,set_yticks=False,set_xticks=False):
-    fig, ax = plt.subplots(tight_layout=True)
-
-    ax.set(xlabel=x_name, ylabel=y_name,title=title)
-
-    if set_yticks:
-        ax.set_yticks(range(min(name), max(name)+1, 1))
-    if set_xticks:
-        ax.set_xticks(range(min(name), max(name)+1, 1))
-    
-
-    ax.barh(name, value)
-
-    return ax.figure 
diff --git a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/charset_normalizer/version.py b/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/charset_normalizer/version.py
deleted file mode 100644
index 5eed49a42ab22c53962c27e750f24ca0b63153d4..0000000000000000000000000000000000000000
--- a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/charset_normalizer/version.py
+++ /dev/null
@@ -1,6 +0,0 @@
-"""
-Expose version
-"""
-
-__version__ = "3.2.0"
-VERSION = __version__.split(".")
diff --git a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/flatbuffers/packer.py b/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/flatbuffers/packer.py
deleted file mode 100644
index 20ee9f116802e6beafc2c66b29a3dfb7a786437b..0000000000000000000000000000000000000000
--- a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/flatbuffers/packer.py
+++ /dev/null
@@ -1,42 +0,0 @@
-# Copyright 2016 Google Inc. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-"""
-Provide pre-compiled struct packers for encoding and decoding.
-
-See: https://docs.python.org/2/library/struct.html#format-characters
-"""
-
-import struct
-from . import compat
-
-
-boolean = struct.Struct(compat.struct_bool_decl)
-
-uint8 = struct.Struct("<B")
-uint16 = struct.Struct("<H")
-uint32 = struct.Struct("<I")
-uint64 = struct.Struct("<Q")
-
-int8 = struct.Struct("<b")
-int16 = struct.Struct("<h")
-int32 = struct.Struct("<i")
-int64 = struct.Struct("<q")
-
-float32 = struct.Struct("<f")
-float64 = struct.Struct("<d")
-
-uoffset = uint32
-soffset = int32
-voffset = uint16
diff --git a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/functorch/_src/eager_transforms/__init__.py b/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/functorch/_src/eager_transforms/__init__.py
deleted file mode 100644
index e3e587c0978fad7d745e89ed4c5bd62f88de4685..0000000000000000000000000000000000000000
--- a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/functorch/_src/eager_transforms/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-# This file has moved to under torch/_functorch. It is not public API.
-# If you are not a PyTorch developer and you are relying on the following
-# imports, please file an issue.
-from torch._functorch.eager_transforms import (
-    _unwrap_functional_tensor,
-    _assert_wrapped_functional,
-)
diff --git a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/google/protobuf/api_pb2.py b/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/google/protobuf/api_pb2.py
deleted file mode 100644
index 4276c9422dd55633bbea5092b961e1e43fe2a318..0000000000000000000000000000000000000000
--- a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/google/protobuf/api_pb2.py
+++ /dev/null
@@ -1,33 +0,0 @@
-# -*- coding: utf-8 -*-
-# Generated by the protocol buffer compiler.  DO NOT EDIT!
-# source: google/protobuf/api.proto
-"""Generated protocol buffer code."""
-from google.protobuf import descriptor as _descriptor
-from google.protobuf import descriptor_pool as _descriptor_pool
-from google.protobuf import symbol_database as _symbol_database
-from google.protobuf.internal import builder as _builder
-# @@protoc_insertion_point(imports)
-
-_sym_db = _symbol_database.Default()
-
-
-from google.protobuf import source_context_pb2 as google_dot_protobuf_dot_source__context__pb2
-from google.protobuf import type_pb2 as google_dot_protobuf_dot_type__pb2
-
-
-DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x19google/protobuf/api.proto\x12\x0fgoogle.protobuf\x1a$google/protobuf/source_context.proto\x1a\x1agoogle/protobuf/type.proto\"\xc1\x02\n\x03\x41pi\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12\x31\n\x07methods\x18\x02 \x03(\x0b\x32\x17.google.protobuf.MethodR\x07methods\x12\x31\n\x07options\x18\x03 \x03(\x0b\x32\x17.google.protobuf.OptionR\x07options\x12\x18\n\x07version\x18\x04 \x01(\tR\x07version\x12\x45\n\x0esource_context\x18\x05 \x01(\x0b\x32\x1e.google.protobuf.SourceContextR\rsourceContext\x12.\n\x06mixins\x18\x06 \x03(\x0b\x32\x16.google.protobuf.MixinR\x06mixins\x12/\n\x06syntax\x18\x07 \x01(\x0e\x32\x17.google.protobuf.SyntaxR\x06syntax\"\xb2\x02\n\x06Method\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12(\n\x10request_type_url\x18\x02 \x01(\tR\x0erequestTypeUrl\x12+\n\x11request_streaming\x18\x03 \x01(\x08R\x10requestStreaming\x12*\n\x11response_type_url\x18\x04 \x01(\tR\x0fresponseTypeUrl\x12-\n\x12response_streaming\x18\x05 \x01(\x08R\x11responseStreaming\x12\x31\n\x07options\x18\x06 \x03(\x0b\x32\x17.google.protobuf.OptionR\x07options\x12/\n\x06syntax\x18\x07 \x01(\x0e\x32\x17.google.protobuf.SyntaxR\x06syntax\"/\n\x05Mixin\x12\x12\n\x04name\x18\x01 \x01(\tR\x04name\x12\x12\n\x04root\x18\x02 \x01(\tR\x04rootBv\n\x13\x63om.google.protobufB\x08\x41piProtoP\x01Z,google.golang.org/protobuf/types/known/apipb\xa2\x02\x03GPB\xaa\x02\x1eGoogle.Protobuf.WellKnownTypesb\x06proto3')
-
-_globals = globals()
-_builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals)
-_builder.BuildTopDescriptorsAndMessages(DESCRIPTOR, 'google.protobuf.api_pb2', _globals)
-if _descriptor._USE_C_DESCRIPTORS == False:
-
-  DESCRIPTOR._options = None
-  DESCRIPTOR._serialized_options = b'\n\023com.google.protobufB\010ApiProtoP\001Z,google.golang.org/protobuf/types/known/apipb\242\002\003GPB\252\002\036Google.Protobuf.WellKnownTypes'
-  _globals['_API']._serialized_start=113
-  _globals['_API']._serialized_end=434
-  _globals['_METHOD']._serialized_start=437
-  _globals['_METHOD']._serialized_end=743
-  _globals['_MIXIN']._serialized_start=745
-  _globals['_MIXIN']._serialized_end=792
-# @@protoc_insertion_point(module_scope)
diff --git a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/gradio/templates/cdn/assets/ShareButton-cdd94184.js b/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/gradio/templates/cdn/assets/ShareButton-cdd94184.js
deleted file mode 100644
index de30c78242b2826c8a139697d0699c305dc15f57..0000000000000000000000000000000000000000
--- a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/gradio/templates/cdn/assets/ShareButton-cdd94184.js
+++ /dev/null
@@ -1,2 +0,0 @@
-import{S as h,e as m,s as d,J as f,K as c,p as w,M as _,n as u,A as y,k as b,o as v,z as S,v as x,x as A,B}from"./index-f877dfd5.js";import{I as M}from"./IconButton-34da90d2.js";import"./Button-11a87b79.js";function C(r){let e,n;return{c(){e=f("svg"),n=f("path"),c(n,"d","M23,20a5,5,0,0,0-3.89,1.89L11.8,17.32a4.46,4.46,0,0,0,0-2.64l7.31-4.57A5,5,0,1,0,18,7a4.79,4.79,0,0,0,.2,1.32l-7.31,4.57a5,5,0,1,0,0,6.22l7.31,4.57A4.79,4.79,0,0,0,18,25a5,5,0,1,0,5-5ZM23,4a3,3,0,1,1-3,3A3,3,0,0,1,23,4ZM7,19a3,3,0,1,1,3-3A3,3,0,0,1,7,19Zm16,9a3,3,0,1,1,3-3A3,3,0,0,1,23,28Z"),c(n,"fill","currentColor"),c(e,"id","icon"),c(e,"xmlns","http://www.w3.org/2000/svg"),c(e,"viewBox","0 0 32 32")},m(t,a){w(t,e,a),_(e,n)},p:u,i:u,o:u,d(t){t&&y(e)}}}class k extends h{constructor(e){super(),m(this,e,null,C,d,{})}}class l extends Error{constructor(e){super(e),this.name="ShareError"}}const I=async(r,e)=>{if(window.__gradio_space__==null)throw new l("Must be on Spaces to share.");let n,t,a;if(e==="url"){const o=await fetch(r);n=await o.blob(),t=o.headers.get("content-type")||"",a=o.headers.get("content-disposition")||""}else n=E(r),t=r.split(";")[0].split(":")[1],a="file"+t.split("/")[1];const s=new File([n],a,{type:t}),i=await fetch("https://huggingface.co/uploads",{method:"POST",body:s,headers:{"Content-Type":s.type,"X-Requested-With":"XMLHttpRequest"}});if(!i.ok){if(i.headers.get("content-type")?.includes("application/json")){const o=await i.json();throw new l(`Upload failed: ${o.error}`)}throw new l("Upload failed.")}return await i.text()};function E(r){for(var e=r.split(","),n=e[0].match(/:(.*?);/)[1],t=atob(e[1]),a=t.length,s=new Uint8Array(a);a--;)s[a]=t.charCodeAt(a);return new Blob([s],{type:n})}function R(r){let e,n;return e=new M({props:{Icon:k,label:"Share",pending:r[2]}}),e.$on("click",r[4]),{c(){b(e.$$.fragment)},m(t,a){v(e,t,a),n=!0},p(t,[a]){const s={};a&4&&(s.pending=t[2]),e.$set(s)},i(t){n||(S(e.$$.fragment,t),n=!0)},o(t){x(e.$$.fragment,t),n=!1},d(t){A(e,t)}}}function T(r,e,n){const t=B();let{formatter:a}=e,{value:s}=e,i=!1;const p=async()=>{try{n(2,i=!0);const o=await a(s);t("share",{description:o})}catch(o){console.error(o);let g=o instanceof l?o.message:"Share failed.";t("error",g)}finally{n(2,i=!1)}};return r.$$set=o=>{"formatter"in o&&n(0,a=o.formatter),"value"in o&&n(1,s=o.value)},[a,s,i,t,p]}class L extends h{constructor(e){super(),m(this,e,T,R,d,{formatter:0,value:1})}}export{L as S,I as u};
-//# sourceMappingURL=ShareButton-cdd94184.js.map
diff --git a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/gradio/templates/cdn/assets/UploadText-8aae32a4.js b/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/gradio/templates/cdn/assets/UploadText-8aae32a4.js
deleted file mode 100644
index 07eddb1ec86d31998120c6126c9f701c4cdd6586..0000000000000000000000000000000000000000
--- a/spaces/chuan-hd/law-assistant-chatbot/.venv/lib/python3.11/site-packages/gradio/templates/cdn/assets/UploadText-8aae32a4.js
+++ /dev/null
@@ -1,2 +0,0 @@
-import{S as h,e as S,s as T,N as g,P as c,O as y,K as U,p as q,M as l,R as v,n as b,A as w,a4 as A}from"./index-f877dfd5.js";import{X as C}from"./Blocks-adc2d4ca.js";function K(t){let e,o=t[1](t[2][t[0]])+"",i,r,s,n,_=t[1]("or")+"",d,m,k,f=t[1]("interface.click_to_upload")+"",u;return{c(){e=g("div"),i=c(o),r=y(),s=g("span"),n=c("- "),d=c(_),m=c(" -"),k=y(),u=c(f),U(s,"class","or svelte-1ck5uk8"),U(e,"class","wrap svelte-1ck5uk8")},m(a,p){q(a,e,p),l(e,i),l(e,r),l(e,s),l(s,n),l(s,d),l(s,m),l(e,k),l(e,u)},p(a,[p]){p&3&&o!==(o=a[1](a[2][a[0]])+"")&&v(i,o),p&2&&_!==(_=a[1]("or")+"")&&v(d,_),p&2&&f!==(f=a[1]("interface.click_to_upload")+"")&&v(u,f)},i:b,o:b,d(a){a&&w(e)}}}function M(t,e,o){let i;A(t,C,n=>o(1,i=n));let{type:r="file"}=e;const s={image:"interface.drop_image",video:"interface.drop_video",audio:"interface.drop_audio",file:"interface.drop_file",csv:"interface.drop_csv"};return t.$$set=n=>{"type"in n&&o(0,r=n.type)},[r,i,s]}class P extends h{constructor(e){super(),S(this,e,M,K,T,{type:0})}}export{P as U};
-//# sourceMappingURL=UploadText-8aae32a4.js.map
diff --git a/spaces/cleanmaster/so-vits-svc-akagi/README.md b/spaces/cleanmaster/so-vits-svc-akagi/README.md
deleted file mode 100644
index fc7de14cf8d974634f3d83f876d4d9824b531970..0000000000000000000000000000000000000000
--- a/spaces/cleanmaster/so-vits-svc-akagi/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-license: cc-by-nc-3.0
-title: LoveLive-so-vits-svc
-sdk: gradio
-sdk_version: 3.4.1
-emoji: 🚀
-colorFrom: yellow
-colorTo: red
-pinned: false
-app_file: app.py
-duplicated_from: YazawaSunrise/so-vits-svc-LoveLive
----
diff --git a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/filelock/__init__.py b/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/filelock/__init__.py
deleted file mode 100644
index 99654eae4ebd17f74746a19e915b2eed3ae9023c..0000000000000000000000000000000000000000
--- a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/filelock/__init__.py
+++ /dev/null
@@ -1,51 +0,0 @@
-"""
-A platform independent file lock that supports the with-statement.
-
-.. autodata:: filelock.__version__
-   :no-value:
-
-"""
-from __future__ import annotations
-
-import sys
-import warnings
-from typing import TYPE_CHECKING
-
-from ._api import AcquireReturnProxy, BaseFileLock
-from ._error import Timeout
-from ._soft import SoftFileLock
-from ._unix import UnixFileLock, has_fcntl
-from ._windows import WindowsFileLock
-from .version import version
-
-#: version of the project as a string
-__version__: str = version
-
-
-if sys.platform == "win32":  # pragma: win32 cover
-    _FileLock: type[BaseFileLock] = WindowsFileLock
-else:  # pragma: win32 no cover
-    if has_fcntl:  # noqa: PLR5501
-        _FileLock: type[BaseFileLock] = UnixFileLock
-    else:
-        _FileLock = SoftFileLock
-        if warnings is not None:
-            warnings.warn("only soft file lock is available", stacklevel=2)
-
-if TYPE_CHECKING:  # noqa: SIM108
-    FileLock = SoftFileLock
-else:
-    #: Alias for the lock, which should be used for the current platform.
-    FileLock = _FileLock
-
-
-__all__ = [
-    "__version__",
-    "FileLock",
-    "SoftFileLock",
-    "Timeout",
-    "UnixFileLock",
-    "WindowsFileLock",
-    "BaseFileLock",
-    "AcquireReturnProxy",
-]
diff --git a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/cu2qu/errors.py b/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/cu2qu/errors.py
deleted file mode 100644
index fa3dc42937131c5db54890dde8f519b15f5d0ff1..0000000000000000000000000000000000000000
--- a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/cu2qu/errors.py
+++ /dev/null
@@ -1,77 +0,0 @@
-# Copyright 2016 Google Inc. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-
-class Error(Exception):
-    """Base Cu2Qu exception class for all other errors."""
-
-
-class ApproxNotFoundError(Error):
-    def __init__(self, curve):
-        message = "no approximation found: %s" % curve
-        super().__init__(message)
-        self.curve = curve
-
-
-class UnequalZipLengthsError(Error):
-    pass
-
-
-class IncompatibleGlyphsError(Error):
-    def __init__(self, glyphs):
-        assert len(glyphs) > 1
-        self.glyphs = glyphs
-        names = set(repr(g.name) for g in glyphs)
-        if len(names) > 1:
-            self.combined_name = "{%s}" % ", ".join(sorted(names))
-        else:
-            self.combined_name = names.pop()
-
-    def __repr__(self):
-        return "<%s %s>" % (type(self).__name__, self.combined_name)
-
-
-class IncompatibleSegmentNumberError(IncompatibleGlyphsError):
-    def __str__(self):
-        return "Glyphs named %s have different number of segments" % (
-            self.combined_name
-        )
-
-
-class IncompatibleSegmentTypesError(IncompatibleGlyphsError):
-    def __init__(self, glyphs, segments):
-        IncompatibleGlyphsError.__init__(self, glyphs)
-        self.segments = segments
-
-    def __str__(self):
-        lines = []
-        ndigits = len(str(max(self.segments)))
-        for i, tags in sorted(self.segments.items()):
-            lines.append(
-                "%s: (%s)" % (str(i).rjust(ndigits), ", ".join(repr(t) for t in tags))
-            )
-        return "Glyphs named %s have incompatible segment types:\n  %s" % (
-            self.combined_name,
-            "\n  ".join(lines),
-        )
-
-
-class IncompatibleFontsError(Error):
-    def __init__(self, glyph_errors):
-        self.glyph_errors = glyph_errors
-
-    def __str__(self):
-        return "fonts contains incompatible glyphs: %s" % (
-            ", ".join(repr(g) for g in sorted(self.glyph_errors.keys()))
-        )
diff --git a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/ttLib/tables/_v_m_t_x.py b/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/ttLib/tables/_v_m_t_x.py
deleted file mode 100644
index c965c94ee50904e57f7bca86b3b602c00520a9cc..0000000000000000000000000000000000000000
--- a/spaces/cloudtheboi/Lofi4All/.pythonlibs/lib/python3.10/site-packages/fontTools/ttLib/tables/_v_m_t_x.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from fontTools import ttLib
-
-superclass = ttLib.getTableClass("hmtx")
-
-
-class table__v_m_t_x(superclass):
-
-    headerTag = "vhea"
-    advanceName = "height"
-    sideBearingName = "tsb"
-    numberOfMetricsName = "numberOfVMetrics"
diff --git a/spaces/colakin/video-generater/public/ffmpeg/doc/bootstrap.min.css b/spaces/colakin/video-generater/public/ffmpeg/doc/bootstrap.min.css
deleted file mode 100644
index 6f68017d58463c625e861e4700a6af0a7ad6c42d..0000000000000000000000000000000000000000
--- a/spaces/colakin/video-generater/public/ffmpeg/doc/bootstrap.min.css
+++ /dev/null
@@ -1,5 +0,0 @@
-/*!
- * Bootstrap v3.2.0 (http://getbootstrap.com)
- * Copyright 2011-2014 Twitter, Inc.
- * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
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diff --git a/spaces/colakin/video-generater/public/ffmpeg/libavcodec/dvaudio_parser.c b/spaces/colakin/video-generater/public/ffmpeg/libavcodec/dvaudio_parser.c
deleted file mode 100644
index ef6bd455823a1a2e8de4483b12eb81d624f1cc02..0000000000000000000000000000000000000000
--- a/spaces/colakin/video-generater/public/ffmpeg/libavcodec/dvaudio_parser.c
+++ /dev/null
@@ -1,46 +0,0 @@
-/*
- * This file is part of FFmpeg.
- *
- * FFmpeg is free software; you can redistribute it and/or
- * modify it under the terms of the GNU Lesser General Public
- * License as published by the Free Software Foundation; either
- * version 2.1 of the License, or (at your option) any later version.
- *
- * FFmpeg is distributed in the hope that it will be useful,
- * but WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
- * Lesser General Public License for more details.
- *
- * You should have received a copy of the GNU Lesser General Public
- * License along with FFmpeg; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
- */
-
-/**
- * @file
- * Ulead DV audio parser
- *
- * Determines the duration for each packet.
- */
-
-#include "parser.h"
-#include "dvaudio.h"
-
-static int dvaudio_parse(AVCodecParserContext *s1, AVCodecContext *avctx,
-                        const uint8_t **poutbuf, int *poutbuf_size,
-                        const uint8_t *buf, int buf_size)
-{
-    if (buf_size >= 248)
-        s1->duration = dv_get_audio_sample_count(buf + 244, avctx->block_align == 8640);
-
-    /* always return the full packet. this parser isn't doing any splitting or
-       combining, only packet analysis */
-    *poutbuf      = buf;
-    *poutbuf_size = buf_size;
-    return buf_size;
-}
-
-const AVCodecParser ff_dvaudio_parser = {
-    .codec_ids      = { AV_CODEC_ID_DVAUDIO },
-    .parser_parse   = dvaudio_parse,
-};
diff --git a/spaces/congsaPfin/Manga-OCR/logs/Primo Number for WhatsApp Benefits Features and Tips.md b/spaces/congsaPfin/Manga-OCR/logs/Primo Number for WhatsApp Benefits Features and Tips.md
deleted file mode 100644
index 249dd0a80046ad4a2b96b4d1b755a020f69866a5..0000000000000000000000000000000000000000
--- a/spaces/congsaPfin/Manga-OCR/logs/Primo Number for WhatsApp Benefits Features and Tips.md	
+++ /dev/null
@@ -1,114 +0,0 @@
-<br />
-<h1>Primo Number for WhatsApp Download: How to Use It and Why</h1>
-<p>WhatsApp is one of the most popular messaging apps in the world, with over 2 billion users. However, to use WhatsApp, you need a valid phone number to register and verify your account. This can be a problem if you don't have a phone number, or if you want to use a different number for privacy or security reasons.</p>
-<p>That's where Primo comes in. Primo is a free app that lets you get a virtual phone number that you can use for WhatsApp verification. You can also use Primo to make free calls, send SMS messages, do video calls, send files and more. In this article, we will show you how to get a free virtual number on Primo, how to use it for WhatsApp verification, and what are the features and benefits of Primo app. We will also compare Primo with some alternatives and reviews.</p>
-<h2>primo number for whatsapp download</h2><br /><p><b><b>Download</b> &#10040;&#10040;&#10040; <a href="https://urlca.com/2uOcyR">https://urlca.com/2uOcyR</a></b></p><br /><br />
- <h2>How to Get a Free Virtual Number on Primo</h2>
-<p>The steps to get a free virtual number on Primo are mentioned below:</p>
-<ol>
-<li>Download and install Primo app from the Google Play Store or Apple App Store.</li>
-<li>Open the app and register for a new account. You just need to choose a username and password.</li>
-<li>Create your free account and go to Menu.</li>
-<li>You will find your temporary mobile number there. You can use this number for WhatsApp verification or any other purpose.</li>
-<li>You can also change your number or get more numbers by upgrading to a premium plan.</li>
-</ol>
- <h2>How to Use Primo Number for WhatsApp Verification</h2>
-<p>Here are the steps for using a Primo number for WhatsApp verification:</p>
-<p>How to get a virtual number for whatsapp with primo<br />
-Primo app for whatsapp verification with fake number<br />
-Primo free virtual phone number for whatsapp activation<br />
-Primo second phone number app for whatsapp<br />
-Primo toll-free number for whatsapp registration<br />
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-Primo alternative apps for whatsapp virtual number<br />
-Best primo app review for whatsapp users<br />
-How to use primo app for whatsapp step by step guide<br />
-How to install primo app for whatsapp on pc and mac<br />
-How to create primo account for whatsapp without email or phone<br />
-How to add and manage multiple numbers in primo app for whatsapp<br />
-How to access your primo number for whatsapp using wifi or data connection<br />
-How to record and customize voicemail in primo app for whatsapp<br />
-How to make international calls with primo app for whatsapp at affordable rates<br />
-How to get bundled minutes and sms with primo app for whatsapp for local calling and texting<br />
-How to get a free trial with primo app for whatsapp<br />
-How to upgrade to primo plus plan for whatsapp benefits<br />
-How to cancel primo subscription for whatsapp refund<br />
-How to contact primo customer support for whatsapp issues<br />
-How to delete primo account and number for whatsapp permanently<br />
-Pros and cons of using primo app for whatsapp verification<br />
-Tips and tricks to use primo app for whatsapp effectively<br />
-FAQs about primo app for whatsapp verification with fake number<br />
-Benefits of using a virtual number for whatsapp business communication<br />
-Comparison of primo app with other virtual number apps for whatsapp activation<br />
-How to get a UK phone number with primo app for whatsapp activation<br />
-How to get a US phone number with primo app for whatsapp activation<br />
-How to get a Canada phone number with primo app for whatsapp activation<br />
-How to get an India phone number with primo app for whatsapp activation<br />
-How to get an Australia phone number with primo app for whatsapp activation<br />
-How to get a Germany phone number with primo app for whatsapp activation<br />
-How to get a France phone number with primo app for whatsapp activation<br />
-How to get a Spain phone number with primo app for whatsapp activation<br />
-How to get a Italy phone number with primo app for whatsapp activation<br />
-How to get a Japan phone number with primo app for whatsapp activation<br />
-How to get a China phone number with primo app for whatsapp activation<br />
-How to get a Brazil phone number with primo app for whatsapp activation<br />
-How to get a South Africa phone number with primo app for whatsapp activation</p>
-<ol>
-<li>Install WhatsApp on your device if you haven't already.</li>
-<li>After installing WhatsApp, type your country details and Primo number for the WhatsApp registration process.</li>
-<li>You will receive a verification code on your Primo app via call or SMS. Enter the code on WhatsApp to verify your account.</li>
-<li>You can now use WhatsApp with your Primo number. You can also add contacts from your phone or from Primo app.</li>
-</ol>
- <h2>Features and Benefits of Primo App</h2>
-<p>Primo app offers many features and benefits that make it a great choice for getting a virtual number for WhatsApp or any other purpose. Some of them are:</p>
-<ul>
-<li>You can get a free virtual number from over 60 countries with Primo app.</li>
-<li>You can make free calls to landlines in over 60 countries with Primo app.</li>
-<li>You can send and receive unlimited SMS messages with Primo app.</li>
-<li>You can do video calls, voice calls, and group chats with other Primo users.</li>
-<li>You can send and receive pictures, videos, documents, and other files with Primo app.</li>
-<li>You can access your Primo account from any device with an internet connection.</li>
-<li>You can protect your privacy and security by using a different number for WhatsApp or other apps.</li>
-</ul>
- <h2>Alternatives and Reviews of Primo App</h2>
-<p>Primo app is not the only option for getting a virtual number for WhatsApp or other purposes. There are some alternatives that offer similar or different features at competitive prices. Some of them are:</p>
- <table border="1">
-<tr><th>Name</th><th>Features</th><th>Price</th></tr>
-<tr><td>TextNow</td><td>- Free US or Canada number<br>- Free unlimited calls and texts within US or Canada<br>- Voicemail and call forwarding<br>- Ad-supported or ad-free plans</td><td>- Free (with ads)<br>- $2.99/month (ad-free)<br>- $9.99/month (international)</td></tr>
-<tr><td>Hushed</td><td>- Free trial number<br>- Numbers from over - Numbers from over 60 countries<br>- Burner numbers and permanent numbers<br>- Custom voicemail and call forwarding<br>- Encrypted messaging and calls</td><td>- $1.99/number (3-day trial)<br>- $3.99/month or $29.99/year (unlimited)<br>- $4.99/number (30-day burner)</td></tr>
-<tr><td>Skype</td><td>- Numbers from over 25 countries<br>- Free calls and messages to other Skype users<br>- Low-cost calls and texts to non-Skype users<br>- Voicemail and call forwarding<br>- Screen sharing and video conferencing</td><td>- Free (Skype to Skype)<br>- $6.99/month (US or Canada number)<br>- $18.53/3 months (international number)</td></tr>
-</table>
- <p>Primo app has received mixed reviews from users on the app stores. Some users have praised its features, quality, and customer service, while others have complained about its bugs, glitches, and limitations. Here are some examples of user reviews:</p>
- <blockquote>
-<p>"Primo is a great app for getting a free number for WhatsApp or other apps. I have been using it for a while and it works well. The calls are clear and the messages are fast. I also like the video calls and file sharing features. I recommend Primo to anyone who needs a virtual number." - 5 stars</p>
-</blockquote>
- <blockquote>
-<p>"Primo is a scam app. It does not give you a free number, it only gives you a temporary number that expires after a few days. Then you have to pay to get another number or upgrade to a premium plan. The app is also full of ads and spam. Do not download Primo, it is a waste of time and money." - 1 star</p>
-</blockquote>
- <h2>Conclusion: Summary and Recommendation</h2>
-<p>In conclusion, Primo is an app that allows you to get a free virtual number that you can use for WhatsApp verification or any other purpose. You can also use Primo to make free calls, send SMS messages, do video calls, send files and more. Primo has many features and benefits that make it a good choice for getting a virtual number, but it also has some drawbacks and limitations that you should be aware of.</p>
-<p>If you are looking for a simple and easy way to get a free virtual number for WhatsApp or other apps, Primo might be a good option for you. However, if you need a more reliable and secure service, or if you want more options and flexibility, you might want to consider some alternatives such as TextNow, Hushed, or Skype.</p>
- <h2>FAQs: Common Questions and Answers About Primo App</h2>
-<p>Here are some common questions and answers about Primo app:</p>
- <h3>Q: Is Primo app safe and legal?</h3>
-<p>A: Primo app is safe and legal to use as long as you follow the terms and conditions of the app and the laws of your country. Primo does not collect or share your personal information without your consent, and it uses encryption to protect your data. However, you should be careful not to use Primo for any illegal or fraudulent activities, such as spamming, harassing, or impersonating others.</p>
- <h3>Q: How long does the free virtual number on Primo last?</h3>
-<p>A: The free virtual number on Primo lasts for as long as you use the app regularly. If you do not use the app for more than 7 days, your number will expire and you will need to get a new one. You can also change your number or get more numbers by upgrading to a premium plan.</p>
- <h3>Q: Can I use Primo number for other apps besides WhatsApp?</h3>
-<p>A: Yes, you can use Primo number for any app that requires phone verification, such as Facebook, Instagram, Telegram, Twitter, etc. However, some apps may not accept virtual numbers or may have different verification methods.</p>
- <h3>Q: Can I port my Primo number to another service?</h3>
-<p>A: No, you cannot port your Primo number to another service. Primo numbers are not real phone numbers, they are virtual numbers that are only valid within the app. If you want to keep your number permanently, you will need to get a real phone number from a phone service provider.</p>
- <h3>Q: How can I contact Primo customer support?</h3>
-<p>A: You can contact Primo customer support by sending an email to support@primo.me or by filling out the contact form on their website https://www.primo.me/contact/. You can also check their FAQ page https://www.primo.me/faq/ for more information.</ <p>I hope this article has helped you understand how to use Primo number for WhatsApp download and why. Primo is a free app that lets you get a virtual phone number that you can use for WhatsApp verification or any other purpose. You can also use Primo to make free calls, send SMS messages, do video calls, send files and more. Primo has many features and benefits that make it a good choice for getting a virtual number, but it also has some drawbacks and limitations that you should be aware of.</p>
-<p>If you have any questions or feedback about Primo app, feel free to leave a comment below or contact Primo customer support. Thank you for reading and happy chatting!</p> 197e85843d<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/congsaPfin/Manga-OCR/logs/The Best Sonic 2 Rom Hack of 2020 - Sonic 2 Return of Shadow.md b/spaces/congsaPfin/Manga-OCR/logs/The Best Sonic 2 Rom Hack of 2020 - Sonic 2 Return of Shadow.md
deleted file mode 100644
index 9a5fefd4c0c62ce797550a1d467f22b76120e4aa..0000000000000000000000000000000000000000
--- a/spaces/congsaPfin/Manga-OCR/logs/The Best Sonic 2 Rom Hack of 2020 - Sonic 2 Return of Shadow.md	
+++ /dev/null
@@ -1,115 +0,0 @@
-
-<h1>Sonic 2: Return of Shadow - A Fan-Made Rom Hack of Sonic 2</h1>
- <p>If you are a fan of Sonic the Hedgehog, you might have heard of Sonic 2: Return of Shadow, a fan-made rom hack of Sonic 2 that was featured as an entry for the Sonic Hacking Contest 2020. This hack was created by JoenickROS, a talented rom hacker who has been working on this project for over three years. In this article, we will tell you everything you need to know about this hack, including its features, gameplay, download process, reviews, ratings, and more.</p>
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- <h2>Features</h2>
- <p>Sonic 2: Return of Shadow is not just a simple modification of Sonic 2. It is a complete overhaul that adds new features, levels, graphics, music, sounds, enemies, bosses, cutscenes, characters, modes, and more. Here are some of the main features that you can expect from this hack:</p>
- <ul>
-<li><b>New levels:</b> The hack has 18 new levels that span across different themes and environments, such as Bayside Atoll Zone, Frost Mountain Zone, Neon Lights Zone, Wacky Workbench Zone, Tidal Tempest Zone, Mushroom Cavern Zone, Mt. Inferno Zone, Ancient City Zone, and more. Each level has its own unique design, challenges, secrets, and surprises.</li>
-<li><b>New features:</b> The hack uses the Sonic 3 and Knuckles object manager to speed up the game and add new features, such as background scrolling, time travel, super and hyper forms, flickies for Tails, special stage sprites for Shadow, cycling palettes for some objects, cutscenes for each act transition, a new title screen, a how to play screen, a level select screen, an options menu, a save feature, a credits sequence, and more.</li>
-<li><b>New characters:</b> The hack allows you to choose from 10 different character combinations, such as Sonic and Tails, Sonic (alone), Tails (alone), Knuckles (alone), Knuckles and Tails, Shadow (alone), Tails and Sonic, Tails and Knuckles, Sonic and Knuckles, Knuckles and Sonic. Each character has their own moveset, abilities, sprites, animations, sounds, and special stages.</li>
-<li><b>New music:</b> The hack has a new soundtrack that consists of original compositions and remixes from various sources. Some of the tracks include Bayside Atoll Zone by JoenickROS himself; Frost Mountain Zone by JassFM; Neon Lights Zone by JassFM; Wacky Workbench Zone by JassFM; Dystopia Zone by JassFM; Massacre Temple Zone by JassFM; Tidal Tempest Zone by JassFM; Mushroom Cavern Zone by JassFM; Mt. Inferno Zone by JassFM; Forgotten Cave Zone by JassFM; Lakeside Garden Zone by JassFM; Sunset Garden Zone by JassFM; Locust Dunes Zone by JassFM; Midngiht Dunes Zone by JassFM; Ancient City Zone by JassFM; Boss Theme by JoenickROS himself; Final Boss Theme by JoenickROS himself; Final Boss Theme by JassFM; and Ending Theme by JassFM.</li>
-<li><b>New graphics:</b> The hack has new graphics that improve the look and feel of the game. Some of the graphical changes include new title cards, new HUD, new fonts, new menus, new backgrounds, new foregrounds, new sprites, new animations, new effects, new palettes, and more.</li>
-</ul>
- <h2>Gameplay</h2>
- <p>Sonic 2: Return of Shadow is a 2D platformer game that follows the same gameplay mechanics as Sonic 2. You can run, jump, spin, roll, fly, glide, climb, dash, and more as you explore the levels and collect rings, power-ups, monitors, chaos emeralds, and other items. You can also fight enemies and bosses using your skills and abilities. The game has two main modes: Normal Mode and Time Attack Mode. In Normal Mode, you can play through the levels in any order you want and save your progress after each level. In Time Attack Mode, you can play through the levels in a fixed order and try to beat your best time. You can also unlock hidden features and secrets by completing certain tasks and challenges.</p>
- <h2>How to Download and Play Sonic 2: Return of Shadow</h2>
- <p>If you want to download and play Sonic 2: Return of Shadow on your device, you will need to follow these steps:</p>
- <ol>
-<li><b>Requirements:</b> To play the hack, you will need a device that can run Windows or Linux operating systems. You will also need a tool that can extract zip files and a Sega Genesis emulator that can run rom files. Some of the recommended emulators are Kega Fusion, Gens, and RetroArch. You will also need the original Sonic 2 rom file that you can legally obtain from various sources.</li>
-<li><b>Steps:</b> To download and install the hack, you will need to do the following:     <ul>
-    <li>Go to the official website of Sonic 2: Return of Shadow and click on the download link.</li>
-    <li>Download the zip file that contains the hack and extract it to a folder of your choice.</li>
-    <li>Open your Sega Genesis emulator and load the Sonic 2 rom file.</li>
-    <li>Go to the options menu of your emulator and select "Patch ROM".</li>
-    <li>Browse to the folder where you extracted the hack and select the "Sonic 2 - Return of Shadow (Hack).bin" file.</li>
-    <li>Click on "Apply" and wait for the patching process to finish.</li>
-    <li>Restart your emulator and enjoy the hack.</li>
-    </ul>
-</li>
-<li><b>Tips:</b> To enjoy the hack and avoid common issues, you should follow these tips:     <ul>
-    <li>Make sure you have a backup copy of your original Sonic 2 rom file before patching it with the hack.</li>
-    <li>Make sure you have enough free space on your device to store the hack and its save files.</li>
-    <li>Make sure you have a stable internet connection when downloading the hack and its updates.</li>
-    <li>Make sure you have a compatible emulator that can run the hack smoothly and without glitches.</li>
-    <li>Make sure you read the readme file that comes with the hack for more information and instructions.</li>
-    </ul>
-</li>
-</ol>
- <h3>Reviews and Ratings of Sonic 2: Return of Shadow</h3>
- <p>Sonic 2: Return of Shadow has received positive reviews and ratings from both critics and users who have played it. Here are some of the comments and scores that they have given to the hack:</p>
- <h4>Critics</h4>
- <p>The hack has been praised by critics for its creativity, quality, variety, difficulty, replay value, music, graphics, features, gameplay, and overall fun factor. Some of the critics who have reviewed the hack are:</p>
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- <table>
-<tr><th>Critic</th><th>Score</th><th>Comment</th></tr>
-<tr><td>Sonic Retro</td><td>9/10</td><td>"Sonic 2: Return of Shadow is one of the most impressive hacks I've ever seen. It's not just a simple modification of Sonic 2; it's a whole new game that feels like a sequel. It has everything you could ask for in a Sonic game: new levels, new features, new characters, new music, new graphics, new modes, new secrets, and more. It's a must-play for any Sonic fan."</td></tr>
-<tr><td>Sonic Hacking Contest</td><td>8.5/10</td><td>"Sonic 2: Return of Shadow is a hack that deserves recognition for its effort, passion, and dedication. It is a hack that has been in development for a long time and it shows. It is a hack that offers a lot of content, variety, and challenge for the players. It is a hack that has a lot of potential and room for improvement. It is a hack that is worth playing and supporting."</td></tr>
-<tr><td>GameZone</td><td>8/10</td><td>"Sonic 2: Return of Shadow is a hack that will make you fall in love with Sonic 2 all over again. It is a hack that takes the original game and adds new twists, surprises, and enhancements to it. It is a hack that will test your skills, patience, and curiosity. It is a hack that will keep you entertained and engaged for hours. It is a hack that you should not miss."</td></tr>
-</table>
- <h4>Users</h4>
- <p>The hack has also been well-received by users who have played it. They have expressed their appreciation, admiration, feedback, suggestions, and requests for the hack. Some of the users who have commented on the hack are:</p>
- <table>
-<tr><th>User</th><th>Score</th><th>Comment</th></tr>
-<tr><td>SuperSonicFan</td><td>10/10</td><td>"This hack is amazing! I love everything about it! The levels are awesome, the music is catchy, the graphics are beautiful, the features are cool, the gameplay is fun, and the characters are badass! This is the best Sonic hack ever! Thank you JoenickROS for making this masterpiece!"</td></tr>
-<tr><td>MegaKnux</td><td>9/10</td><td>"This hack is very good! I like how it has different characters and modes to choose from. I also like how it has time travel and super forms. The levels are very creative and challenging. The music is very fitting and enjoyable. The graphics are very polished and colorful. The features are very impressive and useful. The gameplay is very smooth and responsive. This is one of the best Sonic hacks I've played!"</td></tr>
-<tr><td>ShadowFanatic</td><td>8/10</td><td>"This hack is pretty good! I like how it has Shadow as a playable character. He is my favorite Sonic character and I think he deserves more attention. His sprites, animations, sounds, and special stages are very well done. His gameplay is very fast and exciting. The levels are very diverse and interesting. The music is very good and matches the mood of the game. The graphics are very nice and detailed. The features are very nice and helpful. The gameplay is very fun and addictive. This is a good Sonic hack!"</td></tr>
-</table>
- <h4>Comparison</h4>
- <p>Sonic 2: Return of Shadow is a hack that stands out among other Sonic hacks and games. It is a hack that offers more content, quality, variety, difficulty, replay value, music, graphics, features, gameplay, and overall fun factor than most Sonic hacks and games. It is a hack that can be compared to official Sonic games such as Sonic 3 & Knuckles, Sonic Mania, Sonic Generations, Sonic Adventure 2, and more. It is a hack that can be considered as one of the best Sonic hacks and games ever made.</p>
- <h4>Conclusion and FAQs</h4>
- <p>Sonic 2: Return of Shadow is a fan-made rom hack of Sonic 2 that was created by JoenickROS as an entry for the Sonic Hacking Contest 2020. It is a hack that adds new features, levels, graphics, music, sounds, enemies, bosses, cutscenes, characters, modes, and more. It is a hack that has received positive reviews and ratings from both critics and users who have played it. It is a hack that offers a lot of content, quality, variety, difficulty, replay value, music, graphics, features, gameplay, and overall fun factor. It is a hack that can be downloaded and played on Windows or Linux devices using a Sega Genesis emulator and the original Sonic 2 rom file. It is a hack that is worth playing and supporting. If you are interested in playing Sonic 2: Return of Shadow, you can visit the official website of the hack and download it from there. You can also follow the creator of the hack on his social media accounts and support him on his Patreon page. You can also check out the other entries of the Sonic Hacking Contest 2020 and see what other hacks are available for you to play. We hope you enjoyed this article and learned something new about Sonic 2: Return of Shadow. If you have any questions or comments about the hack, feel free to leave them below. Here are some frequently asked questions and answers about the hack that you might find useful:</p>
- <h4>FAQs</h4>
- <ul>
-<li><b>Q: Is Sonic 2: Return of Shadow free to play?</b></li>
-<li><b>A: Yes, Sonic 2: Return of Shadow is free to play. However, you will need to have the original Sonic 2 rom file that you can legally obtain from various sources.</b></li>
-<li><b>Q: Is Sonic 2: Return of Shadow safe to download and play?</b></li>
-<li><b>A: Yes, Sonic 2: Return of Shadow is safe to download and play. However, you should always scan any files that you download from the internet with an antivirus software before opening them.</b></li>
-<li><b>Q: Is Sonic 2: Return of Shadow compatible with other devices and platforms?</b></li>
-<li><b>A: Sonic 2: Return of Shadow is compatible with Windows or Linux devices that can run a Sega Genesis emulator. It is not compatible with other devices and platforms such as Android, iOS, Mac, PlayStation, Xbox, Nintendo, etc.</b></li>
-<li><b>Q: Is Sonic 2: Return of Shadow finished or still in development?</b></li>
-<li><b>A: Sonic 2: Return of Shadow is finished and playable. However, the creator of the hack might release updates and patches in the future to fix bugs and improve the game.</b></li>
-<li><b>Q: How can I contact the creator of Sonic 2: Return of Shadow?</b></li>
-<li><b>A: You can contact the creator of Sonic 2: Return of Shadow by visiting his official website or his social media accounts. You can also support him on his Patreon page if you want to show your appreciation and help him create more hacks.</b></li>
-</ul></p> 197e85843d<br />
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-
-<h1>TikTok Download Lite APK: A Guide for Android Users</h1>
-<p>TikTok is one of the most popular social media platforms in the world, with over 1 billion users. It allows you to create and share short videos with music, filters, stickers, and other effects. However, not everyone has a high-end smartphone or a fast internet connection to enjoy TikTok to the fullest. That's why there is TikTok Lite, a lighter version of the app that consumes less storage, data, and battery. In this article, we will show you what TikTok Lite is, how to download and install it on your Android device, and how to use it effectively.</p>
- <h2>What is TikTok Lite?</h2>
-<p>TikTok Lite is a simplified version of the original TikTok app, designed for low-end devices and slow networks. It has the same core features as TikTok, such as creating and watching videos, but with some limitations and differences. Here are some of them:</p>
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- <h3>The difference between TikTok and TikTok Lite</h3>
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-<li>TikTok Lite takes up just 9MB of storage, while TikTok takes up about 90MB. This means that you can save more space on your device by using TikTok Lite.</li>
-<li>TikTok Lite loads videos much faster and provides better content creation experience with its new and improved point-and-shoot features. TikTok Lite is recommended if you're on a phone with less than 2GB of RAM, limited data or connecting on 2G or 3G networks.</li>
-<li>TikTok Lite has fewer filters, stickers, and effects than TikTok. It also does not support live streaming, duets, reactions, or voiceovers. However, you can still use the basic editing tools and music library to make your videos fun and unique.</li>
-<li>TikTok Lite has a different interface than TikTok. It has four tabs at the bottom: Home, Discover, Create, and Me. The Home tab shows you videos from users you follow and recommended videos based on your preferences. The Discover tab lets you search for videos by hashtags, categories, or keywords. The Create tab allows you to record or upload videos from your gallery. The Me tab shows you your profile, followers, likes, and settings.</li>
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- <h3>The benefits of using TikTok Lite</h3>
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-<li>TikTok Lite is faster, lighter, and more efficient than TikTok. It saves you time, data, and battery by loading videos quickly and smoothly. It also reduces the lag and crashes that may occur on low-end devices.</li>
-<li>TikTok Lite is compatible with most Android devices running Android 4.1 or higher. You don't need to worry about compatibility issues or missing out on updates.</li>
-<li>TikTok Lite is easy to use and navigate. It has a simple and intuitive interface that lets you enjoy the app without any hassle. You can also switch between languages easily by tapping on the globe icon at the top right corner.</li>
-</ul>
- <h2>How to download and install TikTok Lite on your Android device</h2>
-<p>If you want to try out TikTok Lite on your Android device, you need to download and install the APK file from a reliable source. An APK file is an Android application package that contains all the files needed to run an app. Here are the steps to follow:</p>
- <h3>Step 1: Find a reliable source for the APK file</h3>
-<p>There are many websites that offer APK files for TikTok Lite, but not all of them are safe and trustworthy. Some of them may contain malware, viruses, or unwanted ads that can harm your device or compromise your privacy. Therefore, you should always do some research before downloading any APK file from the internet. You can check the reviews, ratings, and comments of other users to see if the website is reliable or not. You can also use antivirus software or online tools to scan the APK file for any potential threats.</p>
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- <h3>Step 2: Enable unknown sources on your device settings</h3>
-<p>By default, Android devices do not allow the installation of apps from unknown sources, meaning sources other than the Google Play Store. This is a security measure to prevent malicious apps from entering your device. However, if you want to install TikTok Lite from an APK file, you need to enable unknown sources on your device settings first. Here's how:</p>
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-<li>Go to your device settings and look for the security or privacy option.</li>
-<li>Find the option that says "Unknown sources" or "Install unknown apps" and toggle it on.</li>
-<li>A warning message will pop up, telling you that installing apps from unknown sources can harm your device. Tap on "OK" or "Allow" to confirm.</li>
-</ul>
-<p>Now you have enabled unknown sources on your device settings, and you can proceed to install TikTok Lite from the APK file.</p>
- <h3>Step 3: Download and install the APK file</h3>
-<p>Once you have downloaded the APK file from a reliable source and enabled unknown sources on your device settings, you can install TikTok Lite on your device. Here are the steps to follow:</p>
-<ul>
-<li>Locate the APK file on your device storage using a file manager app or your browser's download history.</li>
-<li>Tap on the APK file to open it. A prompt will appear, asking you if you want to install this application. Tap on "Install" to start the installation process.</li>
-<li>Wait for a few seconds until the installation is complete. You will see a message that says "App installed" or "TikTok Lite installed". Tap on "Open" to launch the app or "Done" to exit.</li>
-</ul>
-<p>Congratulations! You have successfully installed TikTok Lite on your Android device using an APK file.</p>
- <h3>Step 4: Launch the app and enjoy</h3>
-<p>Now that you have installed TikTok Lite on your device, you can launch it and start using it. You will see a welcome screen that asks you to select your language and agree to the terms of service and privacy policy. After that, you can sign in with your existing TikTok account or create a new one using your phone number, email address, or social media accounts. You can also skip this step and browse the app as a guest.</p>
- <p>Once you're in, you can explore the app and enjoy its features. You can create and edit videos, discover and watch videos from other users, interact with other users by liking, commenting, or following them, and more. You can also customize your profile by adding a photo, username, bio, and links. You can access your profile by tapping on the Me tab at the bottom right corner.</p>
- <h2>How to use TikTok Lite effectively</h2>
-<p>TikTok Lite is a great app for creating and watching short videos on your Android device. However, if you want to make the most out of it, you need to know how to use it effectively. Here are some tips and tricks to help you:</p>
- <h3>How to create and edit videos on TikTok Lite</h3>
-<p>To create a video on TikTok Lite, tap on the Create tab at the bottom center of the screen. You will see two options: Record or Upload. If you want to record a video using your camera, tap on Record. If you want to upload a video from your gallery, tap on Upload.</p>
- <p>If you choose Record, you can use the following tools to enhance your video:</p>
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-<p>To record a video, press and hold the red button at the center. You can also tap it once to start and stop recording. You can record up to 15 seconds of video in one go, or multiple clips to make a longer video. You can also delete the last clip by tapping on the back arrow icon at the top left corner.</p>
- <p>Once you're done recording, you can edit your video by using the following tools:</p>
-<ul>
-<li>The adjust clips icon at the bottom left corner lets you trim, split, or rearrange your clips.</li>
-<li>The voice effects icon at the bottom center lets you change the pitch and tone of your voice.</li>
-<li>The stickers icon at the bottom right corner lets you add stickers, emojis, or text to your video.</li>
-</ul>
-<p>When you're satisfied with your video, tap on Next at the top right corner. You can then add a caption, hashtags, and tags to your video. You can also choose who can view, comment, or duet with your video. Finally, tap on Post to share your video with the world.</p>
- <h3>How to discover and watch videos on TikTok Lite</h3>
-<p>To discover and watch videos on TikTok Lite, tap on the Home or Discover tabs at the bottom of the screen. The Home tab shows you videos from users you follow and recommended videos based on your preferences. The Discover tab lets you search for videos by hashtags, categories, or keywords.</p>
- <p>To watch a video, simply tap on it to play it. You can also swipe up or down to see more videos. You can also do the following actions while watching a video:</p>
-<ul>
-<li>Tap on the heart icon to like a video.</li>
-<li>Tap on the comment icon to leave a comment or view other comments.</li>
-<li>Tap on the share icon to share a video with your friends or other apps.</li>
-<li>Tap on the profile icon to visit the user's profile and follow them.</li>
-<li>Tap and hold on a video to save it to your favorites or report it for inappropriate content.</li>
-</ul>
- <h3>How to interact with other users on TikTok Lite</h3>
-<p>TikTok Lite is not only a platform for creating and watching videos, but also a community for interacting with other users. You can do the following things to connect with other users:</p>
-<ul>
-<li>Follow other users that interest you by tapping on their profile icons and then tapping on the follow button. You can also unfollow them by tapping on the same button again.</li>
-<li>Send messages to other users by tapping on their profile icons and then tapping on the message button. You can also receive messages from other users who follow you back.</li>
-<li>Join live chats with other users by tapping on their profile icons and then tapping on the join button. You can also start your own live chat by tapping on the create button at the top right corner of the Me tab.</li>
-</ul>
- <h2>Conclusion</h2>
-<p>TikTok Lite is a great app for Android users who want to enjoy TikTok without compromising their device performance or data usage. It has all the essential features of TikTok, such as creating and watching videos, but with some limitations and differences. It is faster, lighter, and more efficient than TikTok, and compatible with most Android devices. To download and install TikTok Lite on your device, you need to use an APK file from a reliable source and enable unknown sources on your device settings. To use TikTok Lite effectively, you need to know how to create and edit videos, discover and watch videos, and interact with other users. We hope this article has helped you learn more about TikTok Lite and how to use it. Have fun!</p>
- <h2>FAQs</h2>
-<ul>
-<li><b>Q: Is TikTok Lite safe?</b></li>
-<li>A: TikTok Lite is safe as long as you download it from a reputable source and scan it for any malware or viruses before installing it. You should also be careful about what you share and who you interact with on the app, as there may be some inappropriate or harmful content or users.</li>
-<li><b>Q: Is TikTok Lite free?</b></li>
-<li>A: Yes, TikTok Lite is free to download and use. However, it may consume some data and battery while using it, so you should monitor your usage and adjust your settings accordingly.</li>
-<li><b>Q: Can I use TikTok and TikTok Lite on the same device?</b></li>
-<li>A: Yes, you can use both apps on the same device, as they have different package names and icons. However, you may not need to use both apps, as they have similar features and functions. You can choose the one that suits your device and preferences better.</li>
-<li><b>Q: How can I update TikTok Lite?</b></li>
-<li>A: To update TikTok Lite, you need to download and install the latest version of the APK file from the same source you used before. You can also check for updates on the app itself by tapping on the Me tab and then tapping on the settings icon at the top right corner. You will see an option that says "Check for updates" if there is a new version available.</li>
-<li><b>Q: How can I delete TikTok Lite?</b></li>
-<li>A: To delete TikTok Lite, you need to uninstall it from your device settings. Here are the steps to follow:</li>
-<ul>
-<li>Go to your device settings and look for the apps or applications option.</li>
-<li>Find and tap on TikTok Lite from the list of apps.</li>
-<li>Tap on the uninstall button and confirm your action.</li>
-</ul></p> 401be4b1e0<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/congsaPfin/Manga-OCR/logs/What is EC Tunnel LITE - Unlimited VPN and Why You Need It.md b/spaces/congsaPfin/Manga-OCR/logs/What is EC Tunnel LITE - Unlimited VPN and Why You Need It.md
deleted file mode 100644
index 1baab23d390dc514752b7f61fd06f33da3fcf7af..0000000000000000000000000000000000000000
--- a/spaces/congsaPfin/Manga-OCR/logs/What is EC Tunnel LITE - Unlimited VPN and Why You Need It.md	
+++ /dev/null
@@ -1,143 +0,0 @@
-<br />
-<h1>EC Tunnel Lite APK Download: A Free and Unlimited VPN App for Android Devices</h1>
-<p>Are you looking for a way to protect your online privacy, security, and access? Do you want to enjoy a fast and reliable VPN service without paying a dime? If yes, then you should check out EC Tunnel Lite APK, a free and unlimited VPN app for Android devices. In this article, we will tell you everything you need to know about this app, including what it is, why you need it, how to download and install it, how to use it, what are its advantages and disadvantages, and how to troubleshoot common issues with it. By the end of this article, you will be able to decide if EC Tunnel Lite APK is the right VPN app for you.</p>
- <h2>What is EC Tunnel Lite?</h2>
-<p>EC Tunnel Lite, also known as Entclass Tunnel Lite, is a free unlimited proxy VPN app with SSH, HTTP, SSL, Websocket HTTP & SSL connections. It was developed by Entclass Tech Solution, a Nigerian company that specializes in providing internet solutions and services. The app was released in 2020 and has since gained over 500,000 downloads on Google Play Store.</p>
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-<p>EC Tunnel Lite APK allows you to connect to various VPN servers around the world and hide your IP address and location from prying eyes. It also protects your internet traffic when using public hotspots or Wi-Fi or even your local internet service. It can help you bypass firewalls and page blocks that restrict your access to certain websites or apps. Moreover, it can give you free internet access by using the built-in proxy tweaks to bypass domain/IP based restrictions or billing.</p>
-<p>The app has a simple and user-friendly interface that lets you easily choose your preferred server and connection protocol. You can also customize your settings according to your needs and preferences. The app supports online gaming and VoIP services as well. You can join their Telegram group or channel for more updates and exclusive offers.</p>
- <h2>Why do you need a VPN app?</h2>
-<p>A VPN app is a software that allows you to connect to a virtual private network, which is a secure and private connection to the public internet. A VPN app can provide you with several benefits, such as:</p>
-<ul>
-<li><b>Hiding your IP address and location:</b> When you browse the internet without a VPN, your IP address can reveal where you live and what websites you visit. This can expose you to hackers, trackers, advertisers, or even government agencies that may want to monitor or manipulate your online activity. But when you use a VPN app, your IP address is replaced by the IP address of the VPN server you are connected to. This way, no one can know who you are or where you are online.</li>
-<li><b>Protecting your personal data:</b> When you use public hotspots or Wi-Fi or even your local internet service, your internet traffic may not be encrypted or secured. This means that anyone who intercepts your data can see what you are doing online or steal your sensitive information such as passwords, credit card numbers, or bank details. But when you use a VPN app, your internet traffic travels through a secure encrypted tunnel. This way, it is out of reach for cybercriminals or anyone else who wants to access your data.</li>
-<li><b>Accessing region-restricted websites or apps:</b> Some websites or apps may not be available in your country or region due to geo-restrictions or censorship. For example, you may not be able to access Netflix, Hulu, BBC iPlayer, or Spotify from your location. But when you use a VPN app, you can change your virtual location by connecting to a VPN server in another country. This way, you can access any website or app that is available in that country.</li>
-</ul>
-<p>As you can see, a VPN app can enhance your online experience and protect your online rights. However, not all VPN apps are created equal. Some may be slow, unreliable, or even unsafe. That's why you need to choose a VPN app that is fast, reliable, and secure. And that's where EC Tunnel Lite APK comes in.</p>
- <h2>How to download and install EC Tunnel Lite APK?</h2>
-<p>Downloading and installing EC Tunnel Lite APK is very easy and straightforward. Just follow these simple steps:</p>
-<ol>
-<li>Go to the official website of EC Tunnel Lite and click on the download button. Alternatively, you can also download the app from other trusted sources such as APKPure or Uptodown.</li>
-<li>Once the download is complete, locate the APK file on your device and tap on it to start the installation process. You may need to enable the installation of apps from unknown sources in your device settings if you haven't done so before.</li>
-<li>Follow the instructions on the screen and wait for the installation to finish.</li>
-<li>Launch the app and enjoy your free and unlimited VPN service.</li>
-</ol>
- <h2>How to use EC Tunnel Lite APK?</h2>
-<p>Using EC Tunnel Lite APK is also very easy and intuitive. Just follow these simple steps:</p>
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-<ol>
-<li>Open the app and grant it the necessary permissions to access your device and network.</li>
-<li>Select your preferred server and connection protocol from the drop-down menus at the top of the screen. You can also tap on the refresh button to see the latest servers and protocols available.</li>
-<li>If you want to use a proxy tweak to bypass domain/IP based restrictions or billing, tap on the tweak button at the bottom of the screen and choose one of the available tweaks. You can also create your own custom tweak by tapping on the plus button.</li>
-<li>Tap on the connect button at the center of the screen and wait for a few seconds until you see a green check mark indicating that you are connected.</li>
-<li>You can now browse the internet anonymously and securely with EC Tunnel Lite APK. You can also check your connection status, speed, and duration at the top of the screen.</li>
-</ol>
- <h2>What are the advantages of EC Tunnel Lite APK?</h2>
-<p>EC Tunnel Lite APK has many advantages over other VPN apps in terms of speed, performance, and reliability. Some of these advantages are:</p>
-<ul>
-<li><b>It is free and unlimited:</b> Unlike some VPN apps that charge you a fee or limit your bandwidth or time, EC Tunnel Lite APK is completely free and unlimited. You can use it as much as you want without any restrictions or interruptions.</li>
-<li><b>It is fast and stable:</b> EC Tunnel Lite APK uses high-speed servers and advanced connection protocols to ensure that you get a fast and stable VPN service. You can enjoy smooth online gaming and streaming without any lags or buffering.</li>
-<li><b>It is secure and trustworthy:</b> EC Tunnel Lite APK uses strong encryption and authentication methods to protect your data from hackers, trackers, or snoopers. It also does not keep any logs or records of your online activity or personal information. You can trust that your privacy and security are in good hands with EC Tunnel Lite APK.</li>
-</ul>
- <h2>What are the disadvantages of EC Tunnel Lite APK?</h2>
-<p>EC Tunnel Lite APK is not perfect and it may have some disadvantages or limitations that you should be aware of. Some of these disadvantages are:</p>
-<ul>
-<li><b>It may not work with some websites or apps:</b> Some websites or apps may detect that you are using a VPN and block your access or show you an error message. This may happen because they have strict policies or regulations regarding VPN usage. For example, some streaming services such as Netflix or Hulu may not allow you to watch their content from other regions due to licensing issues.</li>
-<li><b>It may not be compatible with some devices or systems:</b> Some devices or systems may not support EC Tunnel Lite APK or its connection protocols. This may cause some errors or malfunctions when using the app. For example, some Android TV boxes or smart TVs may not be able to run EC Tunnel Lite APK properly.</li>
-<li><b>It may drain your battery or data:</b> Using a VPN app may consume more battery power or data than usual because it has to encrypt and decrypt your data and connect to a remote server. This may affect your device's performance or your data plan. You can try to reduce this by choosing a server that is closer to your location or by adjusting your settings to use less data or battery.</li>
-</ul>
- <h2>How to troubleshoot common issues with EC Tunnel Lite APK?</h2>
-<p>EC Tunnel Lite APK is designed to work smoothly and efficiently, but sometimes you may encounter some issues or errors when using the app. Here are some tips and solutions for resolving some common problems with the app:</p>
-<table>
-<tr>
-<th>Issue</th>
-<th>Solution</th>
-</tr>
-<tr>
-<td>The app does not connect or disconnects frequently.</td>
-<td>Try to change your server or protocol and see if that works. You can also check your internet connection and make sure it is stable and fast. If the problem persists, you can contact the developer through their Telegram group or channel or email them at entclassblog@gmail.com.</td>
-</tr>
-<tr>
-<td>The app does not bypass domain/IP based restrictions or billing.</td>
-<td>Make sure you are using the correct proxy tweak for your network or service provider. You can also try to create your own custom tweak by following the instructions on the app. If the problem persists, you can contact the developer through their Telegram group or channel or email them at entclassblog@gmail.com.</td>
-</tr>
-<tr>
-<td>The app slows down your internet speed or causes buffering.</td>
-<td>Try to choose a server that is closer to your location or has less load. You can also adjust your settings to use less data or battery. If the problem persists, you can contact the developer through their Telegram group or channel or email them at entclassblog@gmail.com.</td>
-</tr>
-<tr>
-<td>The app does not work with some websites or apps.</td>
-<td>Some websites or apps may have strict policies or regulations regarding VPN usage and may block your access or show you an error message. This is not a fault of the app, but rather of the website or app itself. You can try to use another website or app that does not have such restrictions, or you can contact the website or app's support team and ask them to unblock your access.</td>
-</tr>
-<tr>
-<td>The app does not work with some devices or systems.</td>
-<td>Some devices or systems may not support EC Tunnel Lite APK or its connection protocols and may cause some errors or malfunctions when using the app. This is not a fault of the app, but rather of the device or system itself. You can try to update your device or system's software and firmware, or you can use another device or system that does support the app.</td>
-</tr>
-</table>
- <h2>Conclusion</h2>
-<p>EC Tunnel Lite APK is a free and unlimited VPN app for Android devices that allows you to connect to various VPN servers around the world and hide your IP address and location from prying eyes. It also protects your internet traffic when using public hotspots or Wi-Fi or even your local internet service. It can help you bypass firewalls and page blocks that restrict your access to certain websites or apps. Moreover, it can give you free internet access by using the built-in proxy tweaks to bypass domain/IP based restrictions or billing.</p>
-<p>The app has a simple and user-friendly interface that lets you easily choose your preferred server and connection protocol. You can also customize your settings according to your needs and preferences. The app supports online gaming and VoIP services as well. You can join their Telegram group or channel for more updates and exclusive offers.</p>
-<p>EC Tunnel Lite APK has many advantages over other VPN apps in terms of speed, performance, and reliability. However, it may also have some disadvantages or limitations that you should be aware of. If you encounter any issues or errors when using the app, you can try to troubleshoot them by following the tips and solutions we have provided in this article.</p>
-<p>If you are looking for a free and unlimited VPN app for Android devices that is fast, reliable, and secure, then you should definitely give EC Tunnel Lite APK a try. You can download it from their official website or from other trusted sources such as APKPure or Uptodown. You will not regret it!</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions and answers about EC Tunnel Lite APK:</p>
- <h3>Is EC Tunnel Lite APK safe?</h3>
-<p>Yes, EC Tunnel Lite APK is safe to use. It does not contain any viruses, malware, spyware, or adware. It also does not keep any logs [user](#message or records of your online activity or personal information. It uses strong encryption and authentication methods to protect your data from hackers, trackers, or snoopers. You can trust that your privacy and security are in good hands with EC Tunnel Lite APK.</p>
- <h3>Is EC Tunnel Lite APK legal?</h3>
-<p>Yes, EC Tunnel Lite APK is legal to use. It does not violate any laws or regulations regarding VPN usage. However, you should be aware that some countries or regions may have different rules or restrictions regarding VPN usage. You should always check the local laws and regulations before using a VPN app in any country or region. You should also respect the terms and conditions of the websites or apps that you access with a VPN app.</p>
- <h3>Is EC Tunnel Lite APK compatible with all Android devices?</h3>
-<p>EC Tunnel Lite APK is compatible with most Android devices that run on Android 4.0.3 and above. However, some devices or systems may not support EC Tunnel Lite APK or its connection protocols and may cause some errors or malfunctions when using the app. This is not a fault of the app, but rather of the device or system itself. You can try to update your device or system's software and firmware, or you can use another device or system that does support the app.</p>
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diff --git a/spaces/contluForse/HuggingGPT/assets/Download VantagePoint WPF Controls For Manufacturing for Windows 7 32bit - The Most Comprehensive and Reliable WPF Controls for SCADA and HMI.md b/spaces/contluForse/HuggingGPT/assets/Download VantagePoint WPF Controls For Manufacturing for Windows 7 32bit - The Most Comprehensive and Reliable WPF Controls for SCADA and HMI.md
deleted file mode 100644
index 9c93c6652f3571241ec447944c22854b5a6c6895..0000000000000000000000000000000000000000
--- a/spaces/contluForse/HuggingGPT/assets/Download VantagePoint WPF Controls For Manufacturing for Windows 7 32bit - The Most Comprehensive and Reliable WPF Controls for SCADA and HMI.md	
+++ /dev/null
@@ -1,6 +0,0 @@
-<h2>VantagePoint WPF Controls For Manufacturing download for windows 7 32bit current version</h2><br /><p><b><b>Download File</b> &#10001; &#10001; &#10001; <a href="https://ssurll.com/2uzvhh">https://ssurll.com/2uzvhh</a></b></p><br /><br />
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diff --git a/spaces/cooelf/Multimodal-CoT/timm/utils/agc.py b/spaces/cooelf/Multimodal-CoT/timm/utils/agc.py
deleted file mode 100644
index f51401726ff6810d97d0fa567f4e31b474325a59..0000000000000000000000000000000000000000
--- a/spaces/cooelf/Multimodal-CoT/timm/utils/agc.py
+++ /dev/null
@@ -1,42 +0,0 @@
-""" Adaptive Gradient Clipping
-
-An impl of AGC, as per (https://arxiv.org/abs/2102.06171):
-
-@article{brock2021high,
-  author={Andrew Brock and Soham De and Samuel L. Smith and Karen Simonyan},
-  title={High-Performance Large-Scale Image Recognition Without Normalization},
-  journal={arXiv preprint arXiv:},
-  year={2021}
-}
-
-Code references:
-  * Official JAX impl (paper authors): https://github.com/deepmind/deepmind-research/tree/master/nfnets
-  * Phil Wang's PyTorch gist: https://gist.github.com/lucidrains/0d6560077edac419ab5d3aa29e674d5c
-
-Hacked together by / Copyright 2021 Ross Wightman
-"""
-import torch
-
-
-def unitwise_norm(x, norm_type=2.0):
-    if x.ndim <= 1:
-        return x.norm(norm_type)
-    else:
-        # works for nn.ConvNd and nn,Linear where output dim is first in the kernel/weight tensor
-        # might need special cases for other weights (possibly MHA) where this may not be true
-        return x.norm(norm_type, dim=tuple(range(1, x.ndim)), keepdim=True)
-
-
-def adaptive_clip_grad(parameters, clip_factor=0.01, eps=1e-3, norm_type=2.0):
-    if isinstance(parameters, torch.Tensor):
-        parameters = [parameters]
-    for p in parameters:
-        if p.grad is None:
-            continue
-        p_data = p.detach()
-        g_data = p.grad.detach()
-        max_norm = unitwise_norm(p_data, norm_type=norm_type).clamp_(min=eps).mul_(clip_factor)
-        grad_norm = unitwise_norm(g_data, norm_type=norm_type)
-        clipped_grad = g_data * (max_norm / grad_norm.clamp(min=1e-6))
-        new_grads = torch.where(grad_norm < max_norm, g_data, clipped_grad)
-        p.grad.detach().copy_(new_grads)
diff --git a/spaces/coreml-community/ControlNet-v1-1-Annotators-cpu/annotator/mmpkg/mmseg/datasets/stare.py b/spaces/coreml-community/ControlNet-v1-1-Annotators-cpu/annotator/mmpkg/mmseg/datasets/stare.py
deleted file mode 100644
index cbd14e0920e7f6a73baff1432e5a32ccfdb0dfae..0000000000000000000000000000000000000000
--- a/spaces/coreml-community/ControlNet-v1-1-Annotators-cpu/annotator/mmpkg/mmseg/datasets/stare.py
+++ /dev/null
@@ -1,27 +0,0 @@
-import os.path as osp
-
-from .builder import DATASETS
-from .custom import CustomDataset
-
-
-@DATASETS.register_module()
-class STAREDataset(CustomDataset):
-    """STARE dataset.
-
-    In segmentation map annotation for STARE, 0 stands for background, which is
-    included in 2 categories. ``reduce_zero_label`` is fixed to False. The
-    ``img_suffix`` is fixed to '.png' and ``seg_map_suffix`` is fixed to
-    '.ah.png'.
-    """
-
-    CLASSES = ('background', 'vessel')
-
-    PALETTE = [[120, 120, 120], [6, 230, 230]]
-
-    def __init__(self, **kwargs):
-        super(STAREDataset, self).__init__(
-            img_suffix='.png',
-            seg_map_suffix='.ah.png',
-            reduce_zero_label=False,
-            **kwargs)
-        assert osp.exists(self.img_dir)
diff --git a/spaces/cownclown/Image-and-3D-Model-Creator/PIFu/lib/options.py b/spaces/cownclown/Image-and-3D-Model-Creator/PIFu/lib/options.py
deleted file mode 100644
index 3c76097b6a0b2a312c161bd634a4a137b5929bf3..0000000000000000000000000000000000000000
--- a/spaces/cownclown/Image-and-3D-Model-Creator/PIFu/lib/options.py
+++ /dev/null
@@ -1,161 +0,0 @@
-import argparse
-import os
-
-
-class BaseOptions():
-    def __init__(self):
-        self.initialized = False
-        argparse
-    def initialize(self, parser):
-        # Datasets related
-        g_data = parser.add_argument_group('Data')
-        g_data.add_argument('--dataroot', type=str, default='./data',
-                            help='path to images (data folder)')
-
-        g_data.add_argument('--loadSize', type=int, default=512, help='load size of input image')
-
-        # Experiment related
-        g_exp = parser.add_argument_group('Experiment')
-        g_exp.add_argument('--name', type=str, default='example',
-                           help='name of the experiment. It decides where to store samples and models')
-        g_exp.add_argument('--debug', action='store_true', help='debug mode or not')
-
-        g_exp.add_argument('--num_views', type=int, default=1, help='How many views to use for multiview network.')
-        g_exp.add_argument('--random_multiview', action='store_true', help='Select random multiview combination.')
-
-        # Training related
-        g_train = parser.add_argument_group('Training')
-        g_train.add_argument('--gpu_id', type=int, default=0, help='gpu id for cuda')
-        g_train.add_argument('--gpu_ids', type=str, default='0', help='gpu ids: e.g. 0  0,1,2, 0,2, -1 for CPU mode')
-
-        g_train.add_argument('--num_threads', default=1, type=int, help='# sthreads for loading data')
-        g_train.add_argument('--serial_batches', action='store_true',
-                             help='if true, takes images in order to make batches, otherwise takes them randomly')
-        g_train.add_argument('--pin_memory', action='store_true', help='pin_memory')
-        
-        g_train.add_argument('--batch_size', type=int, default=2, help='input batch size')
-        g_train.add_argument('--learning_rate', type=float, default=1e-3, help='adam learning rate')
-        g_train.add_argument('--learning_rateC', type=float, default=1e-3, help='adam learning rate')
-        g_train.add_argument('--num_epoch', type=int, default=100, help='num epoch to train')
-
-        g_train.add_argument('--freq_plot', type=int, default=10, help='freqency of the error plot')
-        g_train.add_argument('--freq_save', type=int, default=50, help='freqency of the save_checkpoints')
-        g_train.add_argument('--freq_save_ply', type=int, default=100, help='freqency of the save ply')
-       
-        g_train.add_argument('--no_gen_mesh', action='store_true')
-        g_train.add_argument('--no_num_eval', action='store_true')
-        
-        g_train.add_argument('--resume_epoch', type=int, default=-1, help='epoch resuming the training')
-        g_train.add_argument('--continue_train', action='store_true', help='continue training: load the latest model')
-
-        # Testing related
-        g_test = parser.add_argument_group('Testing')
-        g_test.add_argument('--resolution', type=int, default=256, help='# of grid in mesh reconstruction')
-        g_test.add_argument('--test_folder_path', type=str, default=None, help='the folder of test image')
-
-        # Sampling related
-        g_sample = parser.add_argument_group('Sampling')
-        g_sample.add_argument('--sigma', type=float, default=5.0, help='perturbation standard deviation for positions')
-
-        g_sample.add_argument('--num_sample_inout', type=int, default=5000, help='# of sampling points')
-        g_sample.add_argument('--num_sample_color', type=int, default=0, help='# of sampling points')
-
-        g_sample.add_argument('--z_size', type=float, default=200.0, help='z normalization factor')
-
-        # Model related
-        g_model = parser.add_argument_group('Model')
-        # General
-        g_model.add_argument('--norm', type=str, default='group',
-                             help='instance normalization or batch normalization or group normalization')
-        g_model.add_argument('--norm_color', type=str, default='instance',
-                             help='instance normalization or batch normalization or group normalization')
-
-        # hg filter specify
-        g_model.add_argument('--num_stack', type=int, default=4, help='# of hourglass')
-        g_model.add_argument('--num_hourglass', type=int, default=2, help='# of stacked layer of hourglass')
-        g_model.add_argument('--skip_hourglass', action='store_true', help='skip connection in hourglass')
-        g_model.add_argument('--hg_down', type=str, default='ave_pool', help='ave pool || conv64 || conv128')
-        g_model.add_argument('--hourglass_dim', type=int, default='256', help='256 | 512')
-
-        # Classification General
-        g_model.add_argument('--mlp_dim', nargs='+', default=[257, 1024, 512, 256, 128, 1], type=int,
-                             help='# of dimensions of mlp')
-        g_model.add_argument('--mlp_dim_color', nargs='+', default=[513, 1024, 512, 256, 128, 3],
-                             type=int, help='# of dimensions of color mlp')
-
-        g_model.add_argument('--use_tanh', action='store_true',
-                             help='using tanh after last conv of image_filter network')
-
-        # for train
-        parser.add_argument('--random_flip', action='store_true', help='if random flip')
-        parser.add_argument('--random_trans', action='store_true', help='if random flip')
-        parser.add_argument('--random_scale', action='store_true', help='if random flip')
-        parser.add_argument('--no_residual', action='store_true', help='no skip connection in mlp')
-        parser.add_argument('--schedule', type=int, nargs='+', default=[60, 80],
-                            help='Decrease learning rate at these epochs.')
-        parser.add_argument('--gamma', type=float, default=0.1, help='LR is multiplied by gamma on schedule.')
-        parser.add_argument('--color_loss_type', type=str, default='l1', help='mse | l1')
-
-        # for eval
-        parser.add_argument('--val_test_error', action='store_true', help='validate errors of test data')
-        parser.add_argument('--val_train_error', action='store_true', help='validate errors of train data')
-        parser.add_argument('--gen_test_mesh', action='store_true', help='generate test mesh')
-        parser.add_argument('--gen_train_mesh', action='store_true', help='generate train mesh')
-        parser.add_argument('--all_mesh', action='store_true', help='generate meshs from all hourglass output')
-        parser.add_argument('--num_gen_mesh_test', type=int, default=1,
-                            help='how many meshes to generate during testing')
-
-        # path
-        parser.add_argument('--checkpoints_path', type=str, default='./checkpoints', help='path to save checkpoints')
-        parser.add_argument('--load_netG_checkpoint_path', type=str, default=None, help='path to save checkpoints')
-        parser.add_argument('--load_netC_checkpoint_path', type=str, default=None, help='path to save checkpoints')
-        parser.add_argument('--results_path', type=str, default='./results', help='path to save results ply')
-        parser.add_argument('--load_checkpoint_path', type=str, help='path to save results ply')
-        parser.add_argument('--single', type=str, default='', help='single data for training')
-        # for single image reconstruction
-        parser.add_argument('--mask_path', type=str, help='path for input mask')
-        parser.add_argument('--img_path', type=str, help='path for input image')
-
-        # aug
-        group_aug = parser.add_argument_group('aug')
-        group_aug.add_argument('--aug_alstd', type=float, default=0.0, help='augmentation pca lighting alpha std')
-        group_aug.add_argument('--aug_bri', type=float, default=0.0, help='augmentation brightness')
-        group_aug.add_argument('--aug_con', type=float, default=0.0, help='augmentation contrast')
-        group_aug.add_argument('--aug_sat', type=float, default=0.0, help='augmentation saturation')
-        group_aug.add_argument('--aug_hue', type=float, default=0.0, help='augmentation hue')
-        group_aug.add_argument('--aug_blur', type=float, default=0.0, help='augmentation blur')
-
-        # special tasks
-        self.initialized = True
-        return parser
-
-    def gather_options(self):
-        # initialize parser with basic options
-        if not self.initialized:
-            parser = argparse.ArgumentParser(
-                formatter_class=argparse.ArgumentDefaultsHelpFormatter)
-            parser = self.initialize(parser)
-
-        self.parser = parser
-
-        return parser.parse_args()
-
-    def print_options(self, opt):
-        message = ''
-        message += '----------------- Options ---------------\n'
-        for k, v in sorted(vars(opt).items()):
-            comment = ''
-            default = self.parser.get_default(k)
-            if v != default:
-                comment = '\t[default: %s]' % str(default)
-            message += '{:>25}: {:<30}{}\n'.format(str(k), str(v), comment)
-        message += '----------------- End -------------------'
-        print(message)
-
-    def parse(self):
-        opt = self.gather_options()
-        return opt
-
-    def parse_to_dict(self):
-        opt = self.gather_options()
-        return opt.__dict__
\ No newline at end of file
diff --git a/spaces/crashedice/signify/signify/gan/util/visualizer.py b/spaces/crashedice/signify/signify/gan/util/visualizer.py
deleted file mode 100644
index fc89b865feeefab4b33eaff5ad73d58d12b06841..0000000000000000000000000000000000000000
--- a/spaces/crashedice/signify/signify/gan/util/visualizer.py
+++ /dev/null
@@ -1,221 +0,0 @@
-import numpy as np
-import os
-import sys
-import ntpath
-import time
-from signify.gan.util import util, html
-from subprocess import Popen, PIPE
-
-
-if sys.version_info[0] == 2:
-    VisdomExceptionBase = Exception
-else:
-    VisdomExceptionBase = ConnectionError
-
-
-def save_images(webpage, visuals, image_path, aspect_ratio=1.0, width=256):
-    """Save images to the disk.
-
-    Parameters:
-        webpage (the HTML class) -- the HTML webpage class that stores these imaegs (see html.py for more details)
-        visuals (OrderedDict)    -- an ordered dictionary that stores (name, images (either tensor or numpy) ) pairs
-        image_path (str)         -- the string is used to create image paths
-        aspect_ratio (float)     -- the aspect ratio of saved images
-        width (int)              -- the images will be resized to width x width
-
-    This function will save images stored in 'visuals' to the HTML file specified by 'webpage'.
-    """
-    image_dir = webpage.get_image_dir()
-    short_path = ntpath.basename(image_path[0])
-    name = os.path.splitext(short_path)[0]
-
-    webpage.add_header(name)
-    ims, txts, links = [], [], []
-
-    for label, im_data in visuals.items():
-        im = util.tensor2im(im_data)
-        image_name = '%s_%s.png' % (name, label)
-        save_path = os.path.join(image_dir, image_name)
-        util.save_image(im, save_path, aspect_ratio=aspect_ratio)
-        ims.append(image_name)
-        txts.append(label)
-        links.append(image_name)
-    webpage.add_images(ims, txts, links, width=width)
-
-
-class Visualizer():
-    """This class includes several functions that can display/save images and print/save logging information.
-
-    It uses a Python library 'visdom' for display, and a Python library 'dominate' (wrapped in 'HTML') for creating HTML files with images.
-    """
-
-    def __init__(self, opt):
-        """Initialize the Visualizer class
-
-        Parameters:
-            opt -- stores all the experiment flags; needs to be a subclass of BaseOptions
-        Step 1: Cache the training/test options
-        Step 2: connect to a visdom server
-        Step 3: create an HTML object for saveing HTML filters
-        Step 4: create a logging file to store training losses
-        """
-        self.opt = opt  # cache the option
-        self.display_id = opt.display_id
-        self.use_html = opt.isTrain and not opt.no_html
-        self.win_size = opt.display_winsize
-        self.name = opt.name
-        self.port = opt.display_port
-        self.saved = False
-        if self.display_id > 0:  # connect to a visdom server given <display_port> and <display_server>
-            import visdom
-            self.ncols = opt.display_ncols
-            self.vis = visdom.Visdom(server=opt.display_server, port=opt.display_port, env=opt.display_env)
-            if not self.vis.check_connection():
-                self.create_visdom_connections()
-
-        if self.use_html:  # create an HTML object at <checkpoints_dir>/web/; images will be saved under <checkpoints_dir>/web/images/
-            self.web_dir = os.path.join(opt.checkpoints_dir, opt.name, 'web')
-            self.img_dir = os.path.join(self.web_dir, 'images')
-            print('create web directory %s...' % self.web_dir)
-            util.mkdirs([self.web_dir, self.img_dir])
-        # create a logging file to store training losses
-        self.log_name = os.path.join(opt.checkpoints_dir, opt.name, 'loss_log.txt')
-        with open(self.log_name, "a") as log_file:
-            now = time.strftime("%c")
-            log_file.write('================ Training Loss (%s) ================\n' % now)
-
-    def reset(self):
-        """Reset the self.saved status"""
-        self.saved = False
-
-    def create_visdom_connections(self):
-        """If the program could not connect to Visdom server, this function will start a new server at port < self.port > """
-        cmd = sys.executable + ' -m visdom.server -p %d &>/dev/null &' % self.port
-        print('\n\nCould not connect to Visdom server. \n Trying to start a server....')
-        print('Command: %s' % cmd)
-        Popen(cmd, shell=True, stdout=PIPE, stderr=PIPE)
-
-    def display_current_results(self, visuals, epoch, save_result):
-        """Display current results on visdom; save current results to an HTML file.
-
-        Parameters:
-            visuals (OrderedDict) - - dictionary of images to display or save
-            epoch (int) - - the current epoch
-            save_result (bool) - - if save the current results to an HTML file
-        """
-        if self.display_id > 0:  # show images in the browser using visdom
-            ncols = self.ncols
-            if ncols > 0:        # show all the images in one visdom panel
-                ncols = min(ncols, len(visuals))
-                h, w = next(iter(visuals.values())).shape[:2]
-                table_css = """<style>
-                        table {border-collapse: separate; border-spacing: 4px; white-space: nowrap; text-align: center}
-                        table td {width: % dpx; height: % dpx; padding: 4px; outline: 4px solid black}
-                        </style>""" % (w, h)  # create a table css
-                # create a table of images.
-                title = self.name
-                label_html = ''
-                label_html_row = ''
-                images = []
-                idx = 0
-                for label, image in visuals.items():
-                    image_numpy = util.tensor2im(image)
-                    label_html_row += '<td>%s</td>' % label
-                    images.append(image_numpy.transpose([2, 0, 1]))
-                    idx += 1
-                    if idx % ncols == 0:
-                        label_html += '<tr>%s</tr>' % label_html_row
-                        label_html_row = ''
-                white_image = np.ones_like(image_numpy.transpose([2, 0, 1])) * 255
-                while idx % ncols != 0:
-                    images.append(white_image)
-                    label_html_row += '<td></td>'
-                    idx += 1
-                if label_html_row != '':
-                    label_html += '<tr>%s</tr>' % label_html_row
-                try:
-                    self.vis.images(images, nrow=ncols, win=self.display_id + 1,
-                                    padding=2, opts=dict(title=title + ' images'))
-                    label_html = '<table>%s</table>' % label_html
-                    self.vis.text(table_css + label_html, win=self.display_id + 2,
-                                  opts=dict(title=title + ' labels'))
-                except VisdomExceptionBase:
-                    self.create_visdom_connections()
-
-            else:     # show each image in a separate visdom panel;
-                idx = 1
-                try:
-                    for label, image in visuals.items():
-                        image_numpy = util.tensor2im(image)
-                        self.vis.image(image_numpy.transpose([2, 0, 1]), opts=dict(title=label),
-                                       win=self.display_id + idx)
-                        idx += 1
-                except VisdomExceptionBase:
-                    self.create_visdom_connections()
-
-        if self.use_html and (save_result or not self.saved):  # save images to an HTML file if they haven't been saved.
-            self.saved = True
-            # save images to the disk
-            for label, image in visuals.items():
-                image_numpy = util.tensor2im(image)
-                img_path = os.path.join(self.img_dir, 'epoch%.3d_%s.png' % (epoch, label))
-                util.save_image(image_numpy, img_path)
-
-            # update website
-            webpage = html.HTML(self.web_dir, 'Experiment name = %s' % self.name, refresh=1)
-            for n in range(epoch, 0, -1):
-                webpage.add_header('epoch [%d]' % n)
-                ims, txts, links = [], [], []
-
-                for label, image_numpy in visuals.items():
-                    image_numpy = util.tensor2im(image)
-                    img_path = 'epoch%.3d_%s.png' % (n, label)
-                    ims.append(img_path)
-                    txts.append(label)
-                    links.append(img_path)
-                webpage.add_images(ims, txts, links, width=self.win_size)
-            webpage.save()
-
-    def plot_current_losses(self, epoch, counter_ratio, losses):
-        """display the current losses on visdom display: dictionary of error labels and values
-
-        Parameters:
-            epoch (int)           -- current epoch
-            counter_ratio (float) -- progress (percentage) in the current epoch, between 0 to 1
-            losses (OrderedDict)  -- training losses stored in the format of (name, float) pairs
-        """
-        if not hasattr(self, 'plot_data'):
-            self.plot_data = {'X': [], 'Y': [], 'legend': list(losses.keys())}
-        self.plot_data['X'].append(epoch + counter_ratio)
-        self.plot_data['Y'].append([losses[k] for k in self.plot_data['legend']])
-        try:
-            self.vis.line(
-                X=np.stack([np.array(self.plot_data['X'])] * len(self.plot_data['legend']), 1),
-                Y=np.array(self.plot_data['Y']),
-                opts={
-                    'title': self.name + ' loss over time',
-                    'legend': self.plot_data['legend'],
-                    'xlabel': 'epoch',
-                    'ylabel': 'loss'},
-                win=self.display_id)
-        except VisdomExceptionBase:
-            self.create_visdom_connections()
-
-    # losses: same format as |losses| of plot_current_losses
-    def print_current_losses(self, epoch, iters, losses, t_comp, t_data):
-        """print current losses on console; also save the losses to the disk
-
-        Parameters:
-            epoch (int) -- current epoch
-            iters (int) -- current training iteration during this epoch (reset to 0 at the end of every epoch)
-            losses (OrderedDict) -- training losses stored in the format of (name, float) pairs
-            t_comp (float) -- computational time per data point (normalized by batch_size)
-            t_data (float) -- data loading time per data point (normalized by batch_size)
-        """
-        message = '(epoch: %d, iters: %d, time: %.3f, data: %.3f) ' % (epoch, iters, t_comp, t_data)
-        for k, v in losses.items():
-            message += '%s: %.3f ' % (k, v)
-
-        print(message)  # print the message
-        with open(self.log_name, "a") as log_file:
-            log_file.write('%s\n' % message)  # save the message
diff --git a/spaces/cynika/taffy/vdecoder/hifigan/models.py b/spaces/cynika/taffy/vdecoder/hifigan/models.py
deleted file mode 100644
index bdc3fa2c3447f360472d94c2fad9bd74993f6410..0000000000000000000000000000000000000000
--- a/spaces/cynika/taffy/vdecoder/hifigan/models.py
+++ /dev/null
@@ -1,500 +0,0 @@
-import os
-import json
-from .env import AttrDict
-import numpy as np
-import torch
-import torch.nn.functional as F
-import torch.nn as nn
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
-from .utils import init_weights, get_padding
-
-LRELU_SLOPE = 0.1
-
-
-def load_model(model_path, device='cuda'):
-    config_file = os.path.join(os.path.split(model_path)[0], 'config.json')
-    with open(config_file) as f:
-        data = f.read()
-
-    global h
-    json_config = json.loads(data)
-    h = AttrDict(json_config)
-
-    generator = Generator(h).to(device)
-
-    cp_dict = torch.load(model_path)
-    generator.load_state_dict(cp_dict['generator'])
-    generator.eval()
-    generator.remove_weight_norm()
-    del cp_dict
-    return generator, h
-
-
-class ResBlock1(torch.nn.Module):
-    def __init__(self, h, channels, kernel_size=3, dilation=(1, 3, 5)):
-        super(ResBlock1, self).__init__()
-        self.h = h
-        self.convs1 = nn.ModuleList([
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[0],
-                               padding=get_padding(kernel_size, dilation[0]))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[1],
-                               padding=get_padding(kernel_size, dilation[1]))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[2],
-                               padding=get_padding(kernel_size, dilation[2])))
-        ])
-        self.convs1.apply(init_weights)
-
-        self.convs2 = nn.ModuleList([
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=1,
-                               padding=get_padding(kernel_size, 1))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=1,
-                               padding=get_padding(kernel_size, 1))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=1,
-                               padding=get_padding(kernel_size, 1)))
-        ])
-        self.convs2.apply(init_weights)
-
-    def forward(self, x):
-        for c1, c2 in zip(self.convs1, self.convs2):
-            xt = F.leaky_relu(x, LRELU_SLOPE)
-            xt = c1(xt)
-            xt = F.leaky_relu(xt, LRELU_SLOPE)
-            xt = c2(xt)
-            x = xt + x
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.convs1:
-            remove_weight_norm(l)
-        for l in self.convs2:
-            remove_weight_norm(l)
-
-
-class ResBlock2(torch.nn.Module):
-    def __init__(self, h, channels, kernel_size=3, dilation=(1, 3)):
-        super(ResBlock2, self).__init__()
-        self.h = h
-        self.convs = nn.ModuleList([
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[0],
-                               padding=get_padding(kernel_size, dilation[0]))),
-            weight_norm(Conv1d(channels, channels, kernel_size, 1, dilation=dilation[1],
-                               padding=get_padding(kernel_size, dilation[1])))
-        ])
-        self.convs.apply(init_weights)
-
-    def forward(self, x):
-        for c in self.convs:
-            xt = F.leaky_relu(x, LRELU_SLOPE)
-            xt = c(xt)
-            x = xt + x
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.convs:
-            remove_weight_norm(l)
-
-
-class SineGen(torch.nn.Module):
-    """ Definition of sine generator
-    SineGen(samp_rate, harmonic_num = 0,
-            sine_amp = 0.1, noise_std = 0.003,
-            voiced_threshold = 0,
-            flag_for_pulse=False)
-    samp_rate: sampling rate in Hz
-    harmonic_num: number of harmonic overtones (default 0)
-    sine_amp: amplitude of sine-wavefrom (default 0.1)
-    noise_std: std of Gaussian noise (default 0.003)
-    voiced_thoreshold: F0 threshold for U/V classification (default 0)
-    flag_for_pulse: this SinGen is used inside PulseGen (default False)
-    Note: when flag_for_pulse is True, the first time step of a voiced
-        segment is always sin(np.pi) or cos(0)
-    """
-
-    def __init__(self, samp_rate, harmonic_num=0,
-                 sine_amp=0.1, noise_std=0.003,
-                 voiced_threshold=0,
-                 flag_for_pulse=False):
-        super(SineGen, self).__init__()
-        self.sine_amp = sine_amp
-        self.noise_std = noise_std
-        self.harmonic_num = harmonic_num
-        self.dim = self.harmonic_num + 1
-        self.sampling_rate = samp_rate
-        self.voiced_threshold = voiced_threshold
-        self.flag_for_pulse = flag_for_pulse
-
-    def _f02uv(self, f0):
-        # generate uv signal
-        uv = (f0 > self.voiced_threshold).type(torch.float32)
-        return uv
-
-    def _f02sine(self, f0_values):
-        """ f0_values: (batchsize, length, dim)
-            where dim indicates fundamental tone and overtones
-        """
-        # convert to F0 in rad. The interger part n can be ignored
-        # because 2 * np.pi * n doesn't affect phase
-        rad_values = (f0_values / self.sampling_rate) % 1
-
-        # initial phase noise (no noise for fundamental component)
-        rand_ini = torch.rand(f0_values.shape[0], f0_values.shape[2], \
-                              device=f0_values.device)
-        rand_ini[:, 0] = 0
-        rad_values[:, 0, :] = rad_values[:, 0, :] + rand_ini
-
-        # instantanouse phase sine[t] = sin(2*pi \sum_i=1 ^{t} rad)
-        if not self.flag_for_pulse:
-            # for normal case
-
-            # To prevent torch.cumsum numerical overflow,
-            # it is necessary to add -1 whenever \sum_k=1^n rad_value_k > 1.
-            # Buffer tmp_over_one_idx indicates the time step to add -1.
-            # This will not change F0 of sine because (x-1) * 2*pi = x * 2*pi
-            tmp_over_one = torch.cumsum(rad_values, 1) % 1
-            tmp_over_one_idx = (torch.diff(tmp_over_one, dim=1)) < 0
-            cumsum_shift = torch.zeros_like(rad_values)
-            cumsum_shift[:, 1:, :] = tmp_over_one_idx * -1.0
-
-            sines = torch.sin(torch.cumsum(rad_values + cumsum_shift, dim=1)
-                              * 2 * np.pi)
-        else:
-            # If necessary, make sure that the first time step of every
-            # voiced segments is sin(pi) or cos(0)
-            # This is used for pulse-train generation
-
-            # identify the last time step in unvoiced segments
-            uv = self._f02uv(f0_values)
-            uv_1 = torch.roll(uv, shifts=-1, dims=1)
-            uv_1[:, -1, :] = 1
-            u_loc = (uv < 1) * (uv_1 > 0)
-
-            # get the instantanouse phase
-            tmp_cumsum = torch.cumsum(rad_values, dim=1)
-            # different batch needs to be processed differently
-            for idx in range(f0_values.shape[0]):
-                temp_sum = tmp_cumsum[idx, u_loc[idx, :, 0], :]
-                temp_sum[1:, :] = temp_sum[1:, :] - temp_sum[0:-1, :]
-                # stores the accumulation of i.phase within
-                # each voiced segments
-                tmp_cumsum[idx, :, :] = 0
-                tmp_cumsum[idx, u_loc[idx, :, 0], :] = temp_sum
-
-            # rad_values - tmp_cumsum: remove the accumulation of i.phase
-            # within the previous voiced segment.
-            i_phase = torch.cumsum(rad_values - tmp_cumsum, dim=1)
-
-            # get the sines
-            sines = torch.cos(i_phase * 2 * np.pi)
-        return sines
-
-    def forward(self, f0):
-        """ sine_tensor, uv = forward(f0)
-        input F0: tensor(batchsize=1, length, dim=1)
-                  f0 for unvoiced steps should be 0
-        output sine_tensor: tensor(batchsize=1, length, dim)
-        output uv: tensor(batchsize=1, length, 1)
-        """
-        with torch.no_grad():
-            f0_buf = torch.zeros(f0.shape[0], f0.shape[1], self.dim,
-                                 device=f0.device)
-            # fundamental component
-            fn = torch.multiply(f0, torch.FloatTensor([[range(1, self.harmonic_num + 2)]]).to(f0.device))
-
-            # generate sine waveforms
-            sine_waves = self._f02sine(fn) * self.sine_amp
-
-            # generate uv signal
-            # uv = torch.ones(f0.shape)
-            # uv = uv * (f0 > self.voiced_threshold)
-            uv = self._f02uv(f0)
-
-            # noise: for unvoiced should be similar to sine_amp
-            #        std = self.sine_amp/3 -> max value ~ self.sine_amp
-            # .       for voiced regions is self.noise_std
-            noise_amp = uv * self.noise_std + (1 - uv) * self.sine_amp / 3
-            noise = noise_amp * torch.randn_like(sine_waves)
-
-            # first: set the unvoiced part to 0 by uv
-            # then: additive noise
-            sine_waves = sine_waves * uv + noise
-        return sine_waves, uv, noise
-
-
-class SourceModuleHnNSF(torch.nn.Module):
-    """ SourceModule for hn-nsf
-    SourceModule(sampling_rate, harmonic_num=0, sine_amp=0.1,
-                 add_noise_std=0.003, voiced_threshod=0)
-    sampling_rate: sampling_rate in Hz
-    harmonic_num: number of harmonic above F0 (default: 0)
-    sine_amp: amplitude of sine source signal (default: 0.1)
-    add_noise_std: std of additive Gaussian noise (default: 0.003)
-        note that amplitude of noise in unvoiced is decided
-        by sine_amp
-    voiced_threshold: threhold to set U/V given F0 (default: 0)
-    Sine_source, noise_source = SourceModuleHnNSF(F0_sampled)
-    F0_sampled (batchsize, length, 1)
-    Sine_source (batchsize, length, 1)
-    noise_source (batchsize, length 1)
-    uv (batchsize, length, 1)
-    """
-
-    def __init__(self, sampling_rate, harmonic_num=0, sine_amp=0.1,
-                 add_noise_std=0.003, voiced_threshod=0):
-        super(SourceModuleHnNSF, self).__init__()
-
-        self.sine_amp = sine_amp
-        self.noise_std = add_noise_std
-
-        # to produce sine waveforms
-        self.l_sin_gen = SineGen(sampling_rate, harmonic_num,
-                                 sine_amp, add_noise_std, voiced_threshod)
-
-        # to merge source harmonics into a single excitation
-        self.l_linear = torch.nn.Linear(harmonic_num + 1, 1)
-        self.l_tanh = torch.nn.Tanh()
-
-    def forward(self, x):
-        """
-        Sine_source, noise_source = SourceModuleHnNSF(F0_sampled)
-        F0_sampled (batchsize, length, 1)
-        Sine_source (batchsize, length, 1)
-        noise_source (batchsize, length 1)
-        """
-        # source for harmonic branch
-        sine_wavs, uv, _ = self.l_sin_gen(x)
-        sine_merge = self.l_tanh(self.l_linear(sine_wavs))
-
-        # source for noise branch, in the same shape as uv
-        noise = torch.randn_like(uv) * self.sine_amp / 3
-        return sine_merge, noise, uv
-
-
-class Generator(torch.nn.Module):
-    def __init__(self, h):
-        super(Generator, self).__init__()
-        self.h = h
-
-        self.num_kernels = len(h["resblock_kernel_sizes"])
-        self.num_upsamples = len(h["upsample_rates"])
-        self.f0_upsamp = torch.nn.Upsample(scale_factor=np.prod(h["upsample_rates"]))
-        self.m_source = SourceModuleHnNSF(
-            sampling_rate=h["sampling_rate"],
-            harmonic_num=8)
-        self.noise_convs = nn.ModuleList()
-        self.conv_pre = weight_norm(Conv1d(h["inter_channels"], h["upsample_initial_channel"], 7, 1, padding=3))
-        resblock = ResBlock1 if h["resblock"] == '1' else ResBlock2
-        self.ups = nn.ModuleList()
-        for i, (u, k) in enumerate(zip(h["upsample_rates"], h["upsample_kernel_sizes"])):
-            c_cur = h["upsample_initial_channel"] // (2 ** (i + 1))
-            self.ups.append(weight_norm(
-                ConvTranspose1d(h["upsample_initial_channel"] // (2 ** i), h["upsample_initial_channel"] // (2 ** (i + 1)),
-                                k, u, padding=(k - u) // 2)))
-            if i + 1 < len(h["upsample_rates"]):  #
-                stride_f0 = np.prod(h["upsample_rates"][i + 1:])
-                self.noise_convs.append(Conv1d(
-                    1, c_cur, kernel_size=stride_f0 * 2, stride=stride_f0, padding=stride_f0 // 2))
-            else:
-                self.noise_convs.append(Conv1d(1, c_cur, kernel_size=1))
-        self.resblocks = nn.ModuleList()
-        for i in range(len(self.ups)):
-            ch = h["upsample_initial_channel"] // (2 ** (i + 1))
-            for j, (k, d) in enumerate(zip(h["resblock_kernel_sizes"], h["resblock_dilation_sizes"])):
-                self.resblocks.append(resblock(h, ch, k, d))
-
-        self.conv_post = weight_norm(Conv1d(ch, 1, 7, 1, padding=3))
-        self.ups.apply(init_weights)
-        self.conv_post.apply(init_weights)
-        self.cond = nn.Conv1d(h['gin_channels'], h['upsample_initial_channel'], 1)
-
-    def forward(self, x, f0, g=None):
-        # print(1,x.shape,f0.shape,f0[:, None].shape)
-        f0 = self.f0_upsamp(f0[:, None]).transpose(1, 2)  # bs,n,t
-        # print(2,f0.shape)
-        har_source, noi_source, uv = self.m_source(f0)
-        har_source = har_source.transpose(1, 2)
-        x = self.conv_pre(x)
-        x = x + self.cond(g)
-        # print(124,x.shape,har_source.shape)
-        for i in range(self.num_upsamples):
-            x = F.leaky_relu(x, LRELU_SLOPE)
-            # print(3,x.shape)
-            x = self.ups[i](x)
-            x_source = self.noise_convs[i](har_source)
-            # print(4,x_source.shape,har_source.shape,x.shape)
-            x = x + x_source
-            xs = None
-            for j in range(self.num_kernels):
-                if xs is None:
-                    xs = self.resblocks[i * self.num_kernels + j](x)
-                else:
-                    xs += self.resblocks[i * self.num_kernels + j](x)
-            x = xs / self.num_kernels
-        x = F.leaky_relu(x)
-        x = self.conv_post(x)
-        x = torch.tanh(x)
-
-        return x
-
-    def remove_weight_norm(self):
-        print('Removing weight norm...')
-        for l in self.ups:
-            remove_weight_norm(l)
-        for l in self.resblocks:
-            l.remove_weight_norm()
-        remove_weight_norm(self.conv_pre)
-        remove_weight_norm(self.conv_post)
-
-
-class DiscriminatorP(torch.nn.Module):
-    def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False):
-        super(DiscriminatorP, self).__init__()
-        self.period = period
-        norm_f = weight_norm if use_spectral_norm == False else spectral_norm
-        self.convs = nn.ModuleList([
-            norm_f(Conv2d(1, 32, (kernel_size, 1), (stride, 1), padding=(get_padding(5, 1), 0))),
-            norm_f(Conv2d(32, 128, (kernel_size, 1), (stride, 1), padding=(get_padding(5, 1), 0))),
-            norm_f(Conv2d(128, 512, (kernel_size, 1), (stride, 1), padding=(get_padding(5, 1), 0))),
-            norm_f(Conv2d(512, 1024, (kernel_size, 1), (stride, 1), padding=(get_padding(5, 1), 0))),
-            norm_f(Conv2d(1024, 1024, (kernel_size, 1), 1, padding=(2, 0))),
-        ])
-        self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0)))
-
-    def forward(self, x):
-        fmap = []
-
-        # 1d to 2d
-        b, c, t = x.shape
-        if t % self.period != 0:  # pad first
-            n_pad = self.period - (t % self.period)
-            x = F.pad(x, (0, n_pad), "reflect")
-            t = t + n_pad
-        x = x.view(b, c, t // self.period, self.period)
-
-        for l in self.convs:
-            x = l(x)
-            x = F.leaky_relu(x, LRELU_SLOPE)
-            fmap.append(x)
-        x = self.conv_post(x)
-        fmap.append(x)
-        x = torch.flatten(x, 1, -1)
-
-        return x, fmap
-
-
-class MultiPeriodDiscriminator(torch.nn.Module):
-    def __init__(self, periods=None):
-        super(MultiPeriodDiscriminator, self).__init__()
-        self.periods = periods if periods is not None else [2, 3, 5, 7, 11]
-        self.discriminators = nn.ModuleList()
-        for period in self.periods:
-            self.discriminators.append(DiscriminatorP(period))
-
-    def forward(self, y, y_hat):
-        y_d_rs = []
-        y_d_gs = []
-        fmap_rs = []
-        fmap_gs = []
-        for i, d in enumerate(self.discriminators):
-            y_d_r, fmap_r = d(y)
-            y_d_g, fmap_g = d(y_hat)
-            y_d_rs.append(y_d_r)
-            fmap_rs.append(fmap_r)
-            y_d_gs.append(y_d_g)
-            fmap_gs.append(fmap_g)
-
-        return y_d_rs, y_d_gs, fmap_rs, fmap_gs
-
-
-class DiscriminatorS(torch.nn.Module):
-    def __init__(self, use_spectral_norm=False):
-        super(DiscriminatorS, self).__init__()
-        norm_f = weight_norm if use_spectral_norm == False else spectral_norm
-        self.convs = nn.ModuleList([
-            norm_f(Conv1d(1, 128, 15, 1, padding=7)),
-            norm_f(Conv1d(128, 128, 41, 2, groups=4, padding=20)),
-            norm_f(Conv1d(128, 256, 41, 2, groups=16, padding=20)),
-            norm_f(Conv1d(256, 512, 41, 4, groups=16, padding=20)),
-            norm_f(Conv1d(512, 1024, 41, 4, groups=16, padding=20)),
-            norm_f(Conv1d(1024, 1024, 41, 1, groups=16, padding=20)),
-            norm_f(Conv1d(1024, 1024, 5, 1, padding=2)),
-        ])
-        self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1))
-
-    def forward(self, x):
-        fmap = []
-        for l in self.convs:
-            x = l(x)
-            x = F.leaky_relu(x, LRELU_SLOPE)
-            fmap.append(x)
-        x = self.conv_post(x)
-        fmap.append(x)
-        x = torch.flatten(x, 1, -1)
-
-        return x, fmap
-
-
-class MultiScaleDiscriminator(torch.nn.Module):
-    def __init__(self):
-        super(MultiScaleDiscriminator, self).__init__()
-        self.discriminators = nn.ModuleList([
-            DiscriminatorS(use_spectral_norm=True),
-            DiscriminatorS(),
-            DiscriminatorS(),
-        ])
-        self.meanpools = nn.ModuleList([
-            AvgPool1d(4, 2, padding=2),
-            AvgPool1d(4, 2, padding=2)
-        ])
-
-    def forward(self, y, y_hat):
-        y_d_rs = []
-        y_d_gs = []
-        fmap_rs = []
-        fmap_gs = []
-        for i, d in enumerate(self.discriminators):
-            if i != 0:
-                y = self.meanpools[i - 1](y)
-                y_hat = self.meanpools[i - 1](y_hat)
-            y_d_r, fmap_r = d(y)
-            y_d_g, fmap_g = d(y_hat)
-            y_d_rs.append(y_d_r)
-            fmap_rs.append(fmap_r)
-            y_d_gs.append(y_d_g)
-            fmap_gs.append(fmap_g)
-
-        return y_d_rs, y_d_gs, fmap_rs, fmap_gs
-
-
-def feature_loss(fmap_r, fmap_g):
-    loss = 0
-    for dr, dg in zip(fmap_r, fmap_g):
-        for rl, gl in zip(dr, dg):
-            loss += torch.mean(torch.abs(rl - gl))
-
-    return loss * 2
-
-
-def discriminator_loss(disc_real_outputs, disc_generated_outputs):
-    loss = 0
-    r_losses = []
-    g_losses = []
-    for dr, dg in zip(disc_real_outputs, disc_generated_outputs):
-        r_loss = torch.mean((1 - dr) ** 2)
-        g_loss = torch.mean(dg ** 2)
-        loss += (r_loss + g_loss)
-        r_losses.append(r_loss.item())
-        g_losses.append(g_loss.item())
-
-    return loss, r_losses, g_losses
-
-
-def generator_loss(disc_outputs):
-    loss = 0
-    gen_losses = []
-    for dg in disc_outputs:
-        l = torch.mean((1 - dg) ** 2)
-        gen_losses.append(l)
-        loss += l
-
-    return loss, gen_losses
diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/PIL/_util.py b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/PIL/_util.py
deleted file mode 100644
index ba27b7e49e98f4973ba9c257be14a8419292fe8a..0000000000000000000000000000000000000000
--- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/PIL/_util.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import os
-from pathlib import Path
-
-
-def is_path(f):
-    return isinstance(f, (bytes, str, Path))
-
-
-def is_directory(f):
-    """Checks if an object is a string, and that it points to a directory."""
-    return is_path(f) and os.path.isdir(f)
-
-
-class DeferredError:
-    def __init__(self, ex):
-        self.ex = ex
-
-    def __getattr__(self, elt):
-        raise self.ex
diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/altair/vegalite/__init__.py b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/altair/vegalite/__init__.py
deleted file mode 100644
index 690d64e63bc40a6006318cd70535017d41643def..0000000000000000000000000000000000000000
--- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/altair/vegalite/__init__.py
+++ /dev/null
@@ -1,2 +0,0 @@
-# ruff: noqa
-from .v5 import *
diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/attr/_version_info.py b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/attr/_version_info.py
deleted file mode 100644
index 51a1312f9759f21063caea779a62882d7f7c86ae..0000000000000000000000000000000000000000
--- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/attr/_version_info.py
+++ /dev/null
@@ -1,86 +0,0 @@
-# SPDX-License-Identifier: MIT
-
-
-from functools import total_ordering
-
-from ._funcs import astuple
-from ._make import attrib, attrs
-
-
-@total_ordering
-@attrs(eq=False, order=False, slots=True, frozen=True)
-class VersionInfo:
-    """
-    A version object that can be compared to tuple of length 1--4:
-
-    >>> attr.VersionInfo(19, 1, 0, "final")  <= (19, 2)
-    True
-    >>> attr.VersionInfo(19, 1, 0, "final") < (19, 1, 1)
-    True
-    >>> vi = attr.VersionInfo(19, 2, 0, "final")
-    >>> vi < (19, 1, 1)
-    False
-    >>> vi < (19,)
-    False
-    >>> vi == (19, 2,)
-    True
-    >>> vi == (19, 2, 1)
-    False
-
-    .. versionadded:: 19.2
-    """
-
-    year = attrib(type=int)
-    minor = attrib(type=int)
-    micro = attrib(type=int)
-    releaselevel = attrib(type=str)
-
-    @classmethod
-    def _from_version_string(cls, s):
-        """
-        Parse *s* and return a _VersionInfo.
-        """
-        v = s.split(".")
-        if len(v) == 3:
-            v.append("final")
-
-        return cls(
-            year=int(v[0]), minor=int(v[1]), micro=int(v[2]), releaselevel=v[3]
-        )
-
-    def _ensure_tuple(self, other):
-        """
-        Ensure *other* is a tuple of a valid length.
-
-        Returns a possibly transformed *other* and ourselves as a tuple of
-        the same length as *other*.
-        """
-
-        if self.__class__ is other.__class__:
-            other = astuple(other)
-
-        if not isinstance(other, tuple):
-            raise NotImplementedError
-
-        if not (1 <= len(other) <= 4):
-            raise NotImplementedError
-
-        return astuple(self)[: len(other)], other
-
-    def __eq__(self, other):
-        try:
-            us, them = self._ensure_tuple(other)
-        except NotImplementedError:
-            return NotImplemented
-
-        return us == them
-
-    def __lt__(self, other):
-        try:
-            us, them = self._ensure_tuple(other)
-        except NotImplementedError:
-            return NotImplemented
-
-        # Since alphabetically "dev0" < "final" < "post1" < "post2", we don't
-        # have to do anything special with releaselevel for now.
-        return us < them
diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/fontTools/qu2cu/__init__.py b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/fontTools/qu2cu/__init__.py
deleted file mode 100644
index ce357417c7139664a194a6826220889f5ed59894..0000000000000000000000000000000000000000
--- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/fontTools/qu2cu/__init__.py
+++ /dev/null
@@ -1,15 +0,0 @@
-# Copyright 2016 Google Inc. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-from .qu2cu import *
diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/index-dde6f8cc.css b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/index-dde6f8cc.css
deleted file mode 100644
index 88b256fe95573d2f94fdc4c1c51406d908dd999d..0000000000000000000000000000000000000000
--- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/index-dde6f8cc.css
+++ /dev/null
@@ -1 +0,0 @@
-label.svelte-1f354aw.svelte-1f354aw{display:block;width:100%}input.svelte-1f354aw.svelte-1f354aw,textarea.svelte-1f354aw.svelte-1f354aw{display:block;position:relative;outline:none!important;box-shadow:var(--input-shadow);background:var(--input-background-fill);padding:var(--input-padding);width:100%;color:var(--body-text-color);font-weight:var(--input-text-weight);font-size:var(--input-text-size);line-height:var(--line-sm);border:none}label.svelte-1f354aw.svelte-1f354aw:not(.container),label.svelte-1f354aw:not(.container)>input.svelte-1f354aw,label.svelte-1f354aw:not(.container)>textarea.svelte-1f354aw{height:100%}.container.svelte-1f354aw>input.svelte-1f354aw,.container.svelte-1f354aw>textarea.svelte-1f354aw{border:var(--input-border-width) solid var(--input-border-color);border-radius:var(--input-radius)}input.svelte-1f354aw.svelte-1f354aw:disabled,textarea.svelte-1f354aw.svelte-1f354aw:disabled{-webkit-text-fill-color:var(--body-text-color);-webkit-opacity:1;opacity:1}input.svelte-1f354aw.svelte-1f354aw:focus,textarea.svelte-1f354aw.svelte-1f354aw:focus{box-shadow:var(--input-shadow-focus);border-color:var(--input-border-color-focus)}input.svelte-1f354aw.svelte-1f354aw::placeholder,textarea.svelte-1f354aw.svelte-1f354aw::placeholder{color:var(--input-placeholder-color)}button.svelte-1f354aw.svelte-1f354aw{display:flex;position:absolute;top:var(--block-label-margin);right:var(--block-label-margin);align-items:center;box-shadow:var(--shadow-drop);border:1px solid var(--color-border-primary);border-top:none;border-right:none;border-radius:var(--block-label-right-radius);background:var(--block-label-background-fill);padding:5px;width:22px;height:22px;overflow:hidden;color:var(--block-label-color);font:var(--font-sans);font-size:var(--button-small-text-size)}
diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/index-e557d23a.css b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/index-e557d23a.css
deleted file mode 100644
index 2398f199d98f933f3a0db9a04e058bc13155135e..0000000000000000000000000000000000000000
--- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/index-e557d23a.css
+++ /dev/null
@@ -1 +0,0 @@
-.wrap.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04{display:flex;flex-wrap:wrap;gap:var(--checkbox-label-gap)}label.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04{display:flex;align-items:center;transition:var(--button-transition);cursor:pointer;box-shadow:var(--checkbox-label-shadow);border:var(--checkbox-label-border-width) solid var(--checkbox-label-border-color);border-radius:var(--button-small-radius);background:var(--checkbox-label-background-fill);padding:var(--checkbox-label-padding);color:var(--checkbox-label-text-color);font-weight:var(--checkbox-label-text-weight);font-size:var(--checkbox-label-text-size);line-height:var(--line-md)}label.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04:hover{background:var(--checkbox-label-background-fill-hover)}label.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04:focus{background:var(--checkbox-label-background-fill-focus)}label.selected.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04{background:var(--checkbox-label-background-fill-selected);color:var(--checkbox-label-text-color-selected)}label.svelte-1qxcj04>.svelte-1qxcj04+.svelte-1qxcj04{margin-left:var(--size-2)}input.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04{--ring-color:transparent;position:relative;box-shadow:var(--checkbox-shadow);border:var(--checkbox-border-width) solid var(--checkbox-border-color);border-radius:var(--checkbox-border-radius);background-color:var(--checkbox-background-color);line-height:var(--line-sm)}input.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04:checked,input.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04:checked:hover,input.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04:checked:focus{border-color:var(--checkbox-border-color-selected);background-image:var(--checkbox-check);background-color:var(--checkbox-background-color-selected)}input.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04:hover{border-color:var(--checkbox-border-color-hover);background-color:var(--checkbox-background-color-hover)}input.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04:focus{border-color:var(--checkbox-border-color-focus);background-color:var(--checkbox-background-color-focus)}input[disabled].svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04,.disabled.svelte-1qxcj04.svelte-1qxcj04.svelte-1qxcj04{cursor:not-allowed}
diff --git a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/matplotlib/_layoutgrid.py b/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/matplotlib/_layoutgrid.py
deleted file mode 100644
index 8bef9283112c249a716807f162a1be89ed13a3e8..0000000000000000000000000000000000000000
--- a/spaces/dcarpintero/nlp-summarizer-pegasus/.venv/lib/python3.9/site-packages/matplotlib/_layoutgrid.py
+++ /dev/null
@@ -1,547 +0,0 @@
-"""
-A layoutgrid is a nrows by ncols set of boxes, meant to be used by
-`._constrained_layout`, each box is analogous to a subplotspec element of
-a gridspec.
-
-Each box is defined by left[ncols], right[ncols], bottom[nrows] and top[nrows],
-and by two editable margins for each side.  The main margin gets its value
-set by the size of ticklabels, titles, etc on each axes that is in the figure.
-The outer margin is the padding around the axes, and space for any
-colorbars.
-
-The "inner" widths and heights of these boxes are then constrained to be the
-same (relative the values of `width_ratios[ncols]` and `height_ratios[nrows]`).
-
-The layoutgrid is then constrained to be contained within a parent layoutgrid,
-its column(s) and row(s) specified when it is created.
-"""
-
-import itertools
-import kiwisolver as kiwi
-import logging
-import numpy as np
-
-import matplotlib as mpl
-import matplotlib.patches as mpatches
-from matplotlib.transforms import Bbox
-
-_log = logging.getLogger(__name__)
-
-
-class LayoutGrid:
-    """
-    Analogous to a gridspec, and contained in another LayoutGrid.
-    """
-
-    def __init__(self, parent=None, parent_pos=(0, 0),
-                 parent_inner=False, name='', ncols=1, nrows=1,
-                 h_pad=None, w_pad=None, width_ratios=None,
-                 height_ratios=None):
-        Variable = kiwi.Variable
-        self.parent_pos = parent_pos
-        self.parent_inner = parent_inner
-        self.name = name + seq_id()
-        if isinstance(parent, LayoutGrid):
-            self.name = f'{parent.name}.{self.name}'
-        self.nrows = nrows
-        self.ncols = ncols
-        self.height_ratios = np.atleast_1d(height_ratios)
-        if height_ratios is None:
-            self.height_ratios = np.ones(nrows)
-        self.width_ratios = np.atleast_1d(width_ratios)
-        if width_ratios is None:
-            self.width_ratios = np.ones(ncols)
-
-        sn = self.name + '_'
-        if not isinstance(parent, LayoutGrid):
-            # parent can be a rect if not a LayoutGrid
-            # allows specifying a rectangle to contain the layout.
-            self.solver = kiwi.Solver()
-        else:
-            parent.add_child(self, *parent_pos)
-            self.solver = parent.solver
-        # keep track of artist associated w/ this layout.  Can be none
-        self.artists = np.empty((nrows, ncols), dtype=object)
-        self.children = np.empty((nrows, ncols), dtype=object)
-
-        self.margins = {}
-        self.margin_vals = {}
-        # all the boxes in each column share the same left/right margins:
-        for todo in ['left', 'right', 'leftcb', 'rightcb']:
-            # track the value so we can change only if a margin is larger
-            # than the current value
-            self.margin_vals[todo] = np.zeros(ncols)
-
-        sol = self.solver
-
-        self.lefts = [Variable(f'{sn}lefts[{i}]') for i in range(ncols)]
-        self.rights = [Variable(f'{sn}rights[{i}]') for i in range(ncols)]
-        for todo in ['left', 'right', 'leftcb', 'rightcb']:
-            self.margins[todo] = [Variable(f'{sn}margins[{todo}][{i}]')
-                                  for i in range(ncols)]
-            for i in range(ncols):
-                sol.addEditVariable(self.margins[todo][i], 'strong')
-
-        for todo in ['bottom', 'top', 'bottomcb', 'topcb']:
-            self.margins[todo] = np.empty((nrows), dtype=object)
-            self.margin_vals[todo] = np.zeros(nrows)
-
-        self.bottoms = [Variable(f'{sn}bottoms[{i}]') for i in range(nrows)]
-        self.tops = [Variable(f'{sn}tops[{i}]') for i in range(nrows)]
-        for todo in ['bottom', 'top', 'bottomcb', 'topcb']:
-            self.margins[todo] = [Variable(f'{sn}margins[{todo}][{i}]')
-                                  for i in range(nrows)]
-            for i in range(nrows):
-                sol.addEditVariable(self.margins[todo][i], 'strong')
-
-        # set these margins to zero by default. They will be edited as
-        # children are filled.
-        self.reset_margins()
-        self.add_constraints(parent)
-
-        self.h_pad = h_pad
-        self.w_pad = w_pad
-
-    def __repr__(self):
-        str = f'LayoutBox: {self.name:25s} {self.nrows}x{self.ncols},\n'
-        for i in range(self.nrows):
-            for j in range(self.ncols):
-                str += f'{i}, {j}: '\
-                       f'L{self.lefts[j].value():1.3f}, ' \
-                       f'B{self.bottoms[i].value():1.3f}, ' \
-                       f'R{self.rights[j].value():1.3f}, ' \
-                       f'T{self.tops[i].value():1.3f}, ' \
-                       f'ML{self.margins["left"][j].value():1.3f}, ' \
-                       f'MR{self.margins["right"][j].value():1.3f}, ' \
-                       f'MB{self.margins["bottom"][i].value():1.3f}, ' \
-                       f'MT{self.margins["top"][i].value():1.3f}, \n'
-        return str
-
-    def reset_margins(self):
-        """
-        Reset all the margins to zero.  Must do this after changing
-        figure size, for instance, because the relative size of the
-        axes labels etc changes.
-        """
-        for todo in ['left', 'right', 'bottom', 'top',
-                     'leftcb', 'rightcb', 'bottomcb', 'topcb']:
-            self.edit_margins(todo, 0.0)
-
-    def add_constraints(self, parent):
-        # define self-consistent constraints
-        self.hard_constraints()
-        # define relationship with parent layoutgrid:
-        self.parent_constraints(parent)
-        # define relative widths of the grid cells to each other
-        # and stack horizontally and vertically.
-        self.grid_constraints()
-
-    def hard_constraints(self):
-        """
-        These are the redundant constraints, plus ones that make the
-        rest of the code easier.
-        """
-        for i in range(self.ncols):
-            hc = [self.rights[i] >= self.lefts[i],
-                  (self.rights[i] - self.margins['right'][i] -
-                    self.margins['rightcb'][i] >=
-                    self.lefts[i] - self.margins['left'][i] -
-                    self.margins['leftcb'][i])
-                  ]
-            for c in hc:
-                self.solver.addConstraint(c | 'required')
-
-        for i in range(self.nrows):
-            hc = [self.tops[i] >= self.bottoms[i],
-                  (self.tops[i] - self.margins['top'][i] -
-                    self.margins['topcb'][i] >=
-                    self.bottoms[i] - self.margins['bottom'][i] -
-                    self.margins['bottomcb'][i])
-                  ]
-            for c in hc:
-                self.solver.addConstraint(c | 'required')
-
-    def add_child(self, child, i=0, j=0):
-        # np.ix_ returns the cross product of i and j indices
-        self.children[np.ix_(np.atleast_1d(i), np.atleast_1d(j))] = child
-
-    def parent_constraints(self, parent):
-        # constraints that are due to the parent...
-        # i.e. the first column's left is equal to the
-        # parent's left, the last column right equal to the
-        # parent's right...
-        if not isinstance(parent, LayoutGrid):
-            # specify a rectangle in figure coordinates
-            hc = [self.lefts[0] == parent[0],
-                  self.rights[-1] == parent[0] + parent[2],
-                  # top and bottom reversed order...
-                  self.tops[0] == parent[1] + parent[3],
-                  self.bottoms[-1] == parent[1]]
-        else:
-            rows, cols = self.parent_pos
-            rows = np.atleast_1d(rows)
-            cols = np.atleast_1d(cols)
-
-            left = parent.lefts[cols[0]]
-            right = parent.rights[cols[-1]]
-            top = parent.tops[rows[0]]
-            bottom = parent.bottoms[rows[-1]]
-            if self.parent_inner:
-                # the layout grid is contained inside the inner
-                # grid of the parent.
-                left += parent.margins['left'][cols[0]]
-                left += parent.margins['leftcb'][cols[0]]
-                right -= parent.margins['right'][cols[-1]]
-                right -= parent.margins['rightcb'][cols[-1]]
-                top -= parent.margins['top'][rows[0]]
-                top -= parent.margins['topcb'][rows[0]]
-                bottom += parent.margins['bottom'][rows[-1]]
-                bottom += parent.margins['bottomcb'][rows[-1]]
-            hc = [self.lefts[0] == left,
-                  self.rights[-1] == right,
-                  # from top to bottom
-                  self.tops[0] == top,
-                  self.bottoms[-1] == bottom]
-        for c in hc:
-            self.solver.addConstraint(c | 'required')
-
-    def grid_constraints(self):
-        # constrain the ratio of the inner part of the grids
-        # to be the same (relative to width_ratios)
-
-        # constrain widths:
-        w = (self.rights[0] - self.margins['right'][0] -
-             self.margins['rightcb'][0])
-        w = (w - self.lefts[0] - self.margins['left'][0] -
-             self.margins['leftcb'][0])
-        w0 = w / self.width_ratios[0]
-        # from left to right
-        for i in range(1, self.ncols):
-            w = (self.rights[i] - self.margins['right'][i] -
-                 self.margins['rightcb'][i])
-            w = (w - self.lefts[i] - self.margins['left'][i] -
-                 self.margins['leftcb'][i])
-            c = (w == w0 * self.width_ratios[i])
-            self.solver.addConstraint(c | 'strong')
-            # constrain the grid cells to be directly next to each other.
-            c = (self.rights[i - 1] == self.lefts[i])
-            self.solver.addConstraint(c | 'strong')
-
-        # constrain heights:
-        h = self.tops[0] - self.margins['top'][0] - self.margins['topcb'][0]
-        h = (h - self.bottoms[0] - self.margins['bottom'][0] -
-             self.margins['bottomcb'][0])
-        h0 = h / self.height_ratios[0]
-        # from top to bottom:
-        for i in range(1, self.nrows):
-            h = (self.tops[i] - self.margins['top'][i] -
-                 self.margins['topcb'][i])
-            h = (h - self.bottoms[i] - self.margins['bottom'][i] -
-                 self.margins['bottomcb'][i])
-            c = (h == h0 * self.height_ratios[i])
-            self.solver.addConstraint(c | 'strong')
-            # constrain the grid cells to be directly above each other.
-            c = (self.bottoms[i - 1] == self.tops[i])
-            self.solver.addConstraint(c | 'strong')
-
-    # Margin editing:  The margins are variable and meant to
-    # contain things of a fixed size like axes labels, tick labels, titles
-    # etc
-    def edit_margin(self, todo, size, cell):
-        """
-        Change the size of the margin for one cell.
-
-        Parameters
-        ----------
-        todo : string (one of 'left', 'right', 'bottom', 'top')
-            margin to alter.
-
-        size : float
-            Size of the margin.  If it is larger than the existing minimum it
-            updates the margin size. Fraction of figure size.
-
-        cell : int
-            Cell column or row to edit.
-        """
-        self.solver.suggestValue(self.margins[todo][cell], size)
-        self.margin_vals[todo][cell] = size
-
-    def edit_margin_min(self, todo, size, cell=0):
-        """
-        Change the minimum size of the margin for one cell.
-
-        Parameters
-        ----------
-        todo : string (one of 'left', 'right', 'bottom', 'top')
-            margin to alter.
-
-        size : float
-            Minimum size of the margin .  If it is larger than the
-            existing minimum it updates the margin size. Fraction of
-            figure size.
-
-        cell : int
-            Cell column or row to edit.
-        """
-
-        if size > self.margin_vals[todo][cell]:
-            self.edit_margin(todo, size, cell)
-
-    def edit_margins(self, todo, size):
-        """
-        Change the size of all the margin of all the cells in the layout grid.
-
-        Parameters
-        ----------
-        todo : string (one of 'left', 'right', 'bottom', 'top')
-            margin to alter.
-
-        size : float
-            Size to set the margins.  Fraction of figure size.
-        """
-
-        for i in range(len(self.margin_vals[todo])):
-            self.edit_margin(todo, size, i)
-
-    def edit_all_margins_min(self, todo, size):
-        """
-        Change the minimum size of all the margin of all
-        the cells in the layout grid.
-
-        Parameters
-        ----------
-        todo : {'left', 'right', 'bottom', 'top'}
-            The margin to alter.
-
-        size : float
-            Minimum size of the margin.  If it is larger than the
-            existing minimum it updates the margin size. Fraction of
-            figure size.
-        """
-
-        for i in range(len(self.margin_vals[todo])):
-            self.edit_margin_min(todo, size, i)
-
-    def edit_outer_margin_mins(self, margin, ss):
-        """
-        Edit all four margin minimums in one statement.
-
-        Parameters
-        ----------
-        margin : dict
-            size of margins in a dict with keys 'left', 'right', 'bottom',
-            'top'
-
-        ss : SubplotSpec
-            defines the subplotspec these margins should be applied to
-        """
-
-        self.edit_margin_min('left', margin['left'], ss.colspan.start)
-        self.edit_margin_min('leftcb', margin['leftcb'], ss.colspan.start)
-        self.edit_margin_min('right', margin['right'], ss.colspan.stop - 1)
-        self.edit_margin_min('rightcb', margin['rightcb'], ss.colspan.stop - 1)
-        # rows are from the top down:
-        self.edit_margin_min('top', margin['top'], ss.rowspan.start)
-        self.edit_margin_min('topcb', margin['topcb'], ss.rowspan.start)
-        self.edit_margin_min('bottom', margin['bottom'], ss.rowspan.stop - 1)
-        self.edit_margin_min('bottomcb', margin['bottomcb'],
-                             ss.rowspan.stop - 1)
-
-    def get_margins(self, todo, col):
-        """Return the margin at this position"""
-        return self.margin_vals[todo][col]
-
-    def get_outer_bbox(self, rows=0, cols=0):
-        """
-        Return the outer bounding box of the subplot specs
-        given by rows and cols.  rows and cols can be spans.
-        """
-        rows = np.atleast_1d(rows)
-        cols = np.atleast_1d(cols)
-
-        bbox = Bbox.from_extents(
-            self.lefts[cols[0]].value(),
-            self.bottoms[rows[-1]].value(),
-            self.rights[cols[-1]].value(),
-            self.tops[rows[0]].value())
-        return bbox
-
-    def get_inner_bbox(self, rows=0, cols=0):
-        """
-        Return the inner bounding box of the subplot specs
-        given by rows and cols.  rows and cols can be spans.
-        """
-        rows = np.atleast_1d(rows)
-        cols = np.atleast_1d(cols)
-
-        bbox = Bbox.from_extents(
-            (self.lefts[cols[0]].value() +
-                self.margins['left'][cols[0]].value() +
-                self.margins['leftcb'][cols[0]].value()),
-            (self.bottoms[rows[-1]].value() +
-                self.margins['bottom'][rows[-1]].value() +
-                self.margins['bottomcb'][rows[-1]].value()),
-            (self.rights[cols[-1]].value() -
-                self.margins['right'][cols[-1]].value() -
-                self.margins['rightcb'][cols[-1]].value()),
-            (self.tops[rows[0]].value() -
-                self.margins['top'][rows[0]].value() -
-                self.margins['topcb'][rows[0]].value())
-        )
-        return bbox
-
-    def get_bbox_for_cb(self, rows=0, cols=0):
-        """
-        Return the bounding box that includes the
-        decorations but, *not* the colorbar...
-        """
-        rows = np.atleast_1d(rows)
-        cols = np.atleast_1d(cols)
-
-        bbox = Bbox.from_extents(
-            (self.lefts[cols[0]].value() +
-                self.margins['leftcb'][cols[0]].value()),
-            (self.bottoms[rows[-1]].value() +
-                self.margins['bottomcb'][rows[-1]].value()),
-            (self.rights[cols[-1]].value() -
-                self.margins['rightcb'][cols[-1]].value()),
-            (self.tops[rows[0]].value() -
-                self.margins['topcb'][rows[0]].value())
-        )
-        return bbox
-
-    def get_left_margin_bbox(self, rows=0, cols=0):
-        """
-        Return the left margin bounding box of the subplot specs
-        given by rows and cols.  rows and cols can be spans.
-        """
-        rows = np.atleast_1d(rows)
-        cols = np.atleast_1d(cols)
-
-        bbox = Bbox.from_extents(
-            (self.lefts[cols[0]].value() +
-                self.margins['leftcb'][cols[0]].value()),
-            (self.bottoms[rows[-1]].value()),
-            (self.lefts[cols[0]].value() +
-                self.margins['leftcb'][cols[0]].value() +
-                self.margins['left'][cols[0]].value()),
-            (self.tops[rows[0]].value()))
-        return bbox
-
-    def get_bottom_margin_bbox(self, rows=0, cols=0):
-        """
-        Return the left margin bounding box of the subplot specs
-        given by rows and cols.  rows and cols can be spans.
-        """
-        rows = np.atleast_1d(rows)
-        cols = np.atleast_1d(cols)
-
-        bbox = Bbox.from_extents(
-            (self.lefts[cols[0]].value()),
-            (self.bottoms[rows[-1]].value() +
-             self.margins['bottomcb'][rows[-1]].value()),
-            (self.rights[cols[-1]].value()),
-            (self.bottoms[rows[-1]].value() +
-                self.margins['bottom'][rows[-1]].value() +
-             self.margins['bottomcb'][rows[-1]].value()
-             ))
-        return bbox
-
-    def get_right_margin_bbox(self, rows=0, cols=0):
-        """
-        Return the left margin bounding box of the subplot specs
-        given by rows and cols.  rows and cols can be spans.
-        """
-        rows = np.atleast_1d(rows)
-        cols = np.atleast_1d(cols)
-
-        bbox = Bbox.from_extents(
-            (self.rights[cols[-1]].value() -
-                self.margins['right'][cols[-1]].value() -
-                self.margins['rightcb'][cols[-1]].value()),
-            (self.bottoms[rows[-1]].value()),
-            (self.rights[cols[-1]].value() -
-                self.margins['rightcb'][cols[-1]].value()),
-            (self.tops[rows[0]].value()))
-        return bbox
-
-    def get_top_margin_bbox(self, rows=0, cols=0):
-        """
-        Return the left margin bounding box of the subplot specs
-        given by rows and cols.  rows and cols can be spans.
-        """
-        rows = np.atleast_1d(rows)
-        cols = np.atleast_1d(cols)
-
-        bbox = Bbox.from_extents(
-            (self.lefts[cols[0]].value()),
-            (self.tops[rows[0]].value() -
-                self.margins['topcb'][rows[0]].value()),
-            (self.rights[cols[-1]].value()),
-            (self.tops[rows[0]].value() -
-                self.margins['topcb'][rows[0]].value() -
-                self.margins['top'][rows[0]].value()))
-        return bbox
-
-    def update_variables(self):
-        """
-        Update the variables for the solver attached to this layoutgrid.
-        """
-        self.solver.updateVariables()
-
-_layoutboxobjnum = itertools.count()
-
-
-def seq_id():
-    """Generate a short sequential id for layoutbox objects."""
-    return '%06d' % next(_layoutboxobjnum)
-
-
-def plot_children(fig, lg=None, level=0):
-    """Simple plotting to show where boxes are."""
-    if lg is None:
-        _layoutgrids = fig.get_layout_engine().execute(fig)
-        lg = _layoutgrids[fig]
-    colors = mpl.rcParams["axes.prop_cycle"].by_key()["color"]
-    col = colors[level]
-    for i in range(lg.nrows):
-        for j in range(lg.ncols):
-            bb = lg.get_outer_bbox(rows=i, cols=j)
-            fig.add_artist(
-                mpatches.Rectangle(bb.p0, bb.width, bb.height, linewidth=1,
-                                   edgecolor='0.7', facecolor='0.7',
-                                   alpha=0.2, transform=fig.transFigure,
-                                   zorder=-3))
-            bbi = lg.get_inner_bbox(rows=i, cols=j)
-            fig.add_artist(
-                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=2,
-                                   edgecolor=col, facecolor='none',
-                                   transform=fig.transFigure, zorder=-2))
-
-            bbi = lg.get_left_margin_bbox(rows=i, cols=j)
-            fig.add_artist(
-                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=0,
-                                   edgecolor='none', alpha=0.2,
-                                   facecolor=[0.5, 0.7, 0.5],
-                                   transform=fig.transFigure, zorder=-2))
-            bbi = lg.get_right_margin_bbox(rows=i, cols=j)
-            fig.add_artist(
-                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=0,
-                                   edgecolor='none', alpha=0.2,
-                                   facecolor=[0.7, 0.5, 0.5],
-                                   transform=fig.transFigure, zorder=-2))
-            bbi = lg.get_bottom_margin_bbox(rows=i, cols=j)
-            fig.add_artist(
-                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=0,
-                                   edgecolor='none', alpha=0.2,
-                                   facecolor=[0.5, 0.5, 0.7],
-                                   transform=fig.transFigure, zorder=-2))
-            bbi = lg.get_top_margin_bbox(rows=i, cols=j)
-            fig.add_artist(
-                mpatches.Rectangle(bbi.p0, bbi.width, bbi.height, linewidth=0,
-                                   edgecolor='none', alpha=0.2,
-                                   facecolor=[0.7, 0.2, 0.7],
-                                   transform=fig.transFigure, zorder=-2))
-    for ch in lg.children.flat:
-        if ch is not None:
-            plot_children(fig, ch, level=level+1)
diff --git a/spaces/dccif/Real-CUGAN/README.md b/spaces/dccif/Real-CUGAN/README.md
deleted file mode 100644
index d673114edadba73e80f33a3c71bc0dbee8758cc8..0000000000000000000000000000000000000000
--- a/spaces/dccif/Real-CUGAN/README.md
+++ /dev/null
@@ -1,14 +0,0 @@
----
-title: Real CUGAN
-emoji: 🐢
-colorFrom: gray
-colorTo: green
-sdk: gradio
-sdk_version: 3.6
-app_file: app.py
-pinned: false
-license: gpl-3.0
-duplicated_from: DianXian/Real-CUGAN
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/declare-lab/tango/diffusers/scripts/change_naming_configs_and_checkpoints.py b/spaces/declare-lab/tango/diffusers/scripts/change_naming_configs_and_checkpoints.py
deleted file mode 100644
index 01c4f88c2daf8b40f695bde7b07367e11ae4e3a2..0000000000000000000000000000000000000000
--- a/spaces/declare-lab/tango/diffusers/scripts/change_naming_configs_and_checkpoints.py
+++ /dev/null
@@ -1,113 +0,0 @@
-# coding=utf-8
-# Copyright 2023 The HuggingFace Inc. team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-""" Conversion script for the LDM checkpoints. """
-
-import argparse
-import json
-import os
-
-import torch
-from transformers.file_utils import has_file
-
-from diffusers import UNet2DConditionModel, UNet2DModel
-
-
-do_only_config = False
-do_only_weights = True
-do_only_renaming = False
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-
-    parser.add_argument(
-        "--repo_path",
-        default=None,
-        type=str,
-        required=True,
-        help="The config json file corresponding to the architecture.",
-    )
-
-    parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")
-
-    args = parser.parse_args()
-
-    config_parameters_to_change = {
-        "image_size": "sample_size",
-        "num_res_blocks": "layers_per_block",
-        "block_channels": "block_out_channels",
-        "down_blocks": "down_block_types",
-        "up_blocks": "up_block_types",
-        "downscale_freq_shift": "freq_shift",
-        "resnet_num_groups": "norm_num_groups",
-        "resnet_act_fn": "act_fn",
-        "resnet_eps": "norm_eps",
-        "num_head_channels": "attention_head_dim",
-    }
-
-    key_parameters_to_change = {
-        "time_steps": "time_proj",
-        "mid": "mid_block",
-        "downsample_blocks": "down_blocks",
-        "upsample_blocks": "up_blocks",
-    }
-
-    subfolder = "" if has_file(args.repo_path, "config.json") else "unet"
-
-    with open(os.path.join(args.repo_path, subfolder, "config.json"), "r", encoding="utf-8") as reader:
-        text = reader.read()
-        config = json.loads(text)
-
-    if do_only_config:
-        for key in config_parameters_to_change.keys():
-            config.pop(key, None)
-
-    if has_file(args.repo_path, "config.json"):
-        model = UNet2DModel(**config)
-    else:
-        class_name = UNet2DConditionModel if "ldm-text2im-large-256" in args.repo_path else UNet2DModel
-        model = class_name(**config)
-
-    if do_only_config:
-        model.save_config(os.path.join(args.repo_path, subfolder))
-
-    config = dict(model.config)
-
-    if do_only_renaming:
-        for key, value in config_parameters_to_change.items():
-            if key in config:
-                config[value] = config[key]
-                del config[key]
-
-        config["down_block_types"] = [k.replace("UNetRes", "") for k in config["down_block_types"]]
-        config["up_block_types"] = [k.replace("UNetRes", "") for k in config["up_block_types"]]
-
-    if do_only_weights:
-        state_dict = torch.load(os.path.join(args.repo_path, subfolder, "diffusion_pytorch_model.bin"))
-
-        new_state_dict = {}
-        for param_key, param_value in state_dict.items():
-            if param_key.endswith(".op.bias") or param_key.endswith(".op.weight"):
-                continue
-            has_changed = False
-            for key, new_key in key_parameters_to_change.items():
-                if not has_changed and param_key.split(".")[0] == key:
-                    new_state_dict[".".join([new_key] + param_key.split(".")[1:])] = param_value
-                    has_changed = True
-            if not has_changed:
-                new_state_dict[param_key] = param_value
-
-        model.load_state_dict(new_state_dict)
-        model.save_pretrained(os.path.join(args.repo_path, subfolder))
diff --git a/spaces/diacanFperku/AutoGPT/Dragon Ball Z Little Fighter V2.5 VERIFIED Download.md b/spaces/diacanFperku/AutoGPT/Dragon Ball Z Little Fighter V2.5 VERIFIED Download.md
deleted file mode 100644
index 09f66ea8c428174ed90d5d11e09773750917483d..0000000000000000000000000000000000000000
--- a/spaces/diacanFperku/AutoGPT/Dragon Ball Z Little Fighter V2.5 VERIFIED Download.md	
+++ /dev/null
@@ -1,12 +0,0 @@
-<h2>Dragon Ball Z Little Fighter V2.5 Download</h2><br /><p><b><b>Download File</b> &#8230;&#8230;&#8230; <a href="https://gohhs.com/2uFTIm">https://gohhs.com/2uFTIm</a></b></p><br /><br />
-
-‑.´ .XCOM.‑...­.Mod), known as X‑COM: Terror from the Deep is a turn-based tactical strategy video game developed by The Bureau: XCOM Declassified and published by 2K Games.
-
-Enjoy this Mod on Nexus Filehosts! It'll take you to get a fixed compass. Also, to upload to Nexus, you must have a very strong connection to get it uploaded. It will take up to 60 seconds to upload! Make sure you're connected to a wireless network.
-
-This mod adds a new game mode called "Co-op" in addition to the single player game mode. It replaces the "Special Mission" UI element with the "Co-op" UI element. A co-op map is completed when all objectives are met. You must both share the same Google Account.
-
-This mod adds a new game mode called "Co-op" in addition to the 4fefd39f24<br />
-<br />
-<br />
-<p></p>
diff --git a/spaces/diacanFperku/AutoGPT/Malwarebytes  Anti-malware 1.7.5 Keygen Serial Serial Key.md b/spaces/diacanFperku/AutoGPT/Malwarebytes  Anti-malware 1.7.5 Keygen Serial Serial Key.md
deleted file mode 100644
index 969b15ca0c2a30bd1da97e87ef806adb3787892e..0000000000000000000000000000000000000000
--- a/spaces/diacanFperku/AutoGPT/Malwarebytes  Anti-malware 1.7.5 Keygen Serial Serial Key.md	
+++ /dev/null
@@ -1,134 +0,0 @@
-<br />
-<h1>Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key - How to Get It and Why You Need It</h1>
-
-<p>If you are looking for a powerful and reliable anti-malware software that can protect your computer from various threats, you might have heard of Malwarebytes. Malwarebytes is a popular and trusted program that can detect and remove malware, ransomware, spyware, adware, and other unwanted programs from your system.</p>
-<h2>Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key</h2><br /><p><b><b>Download Zip</b> &#10026; <a href="https://gohhs.com/2uFVo6">https://gohhs.com/2uFVo6</a></b></p><br /><br />
-
-<p>However, Malwarebytes also offers a premium version that provides more features and benefits, such as real-time protection, web protection, ransomware protection, exploit protection, and more. The premium version requires a license key to activate, which you can purchase from the official website or from authorized resellers.</p>
-
-<p>But what if you don't want to pay for the premium version? What if you want to get it for free? Is there a way to get a Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key that can unlock the premium features?</p>
-
-<h2>What is a Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key?</h2>
-
-<p>A Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key is a code that can generate a valid license key for Malwarebytes Anti-malware 1.7.5, which is an older version of the software that was released in 2013. A keygen is a software that can create random keys for various programs, while a serial key is a unique code that can activate a specific software.</p>
-
-<p>Some people use a Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key to get the premium version of Malwarebytes without paying for it. They download a keygen or a crack from the internet, run it on their computer, and enter the generated serial key into the Malwarebytes program to activate it.</p>
-
-<h2>Is it Safe to Use a Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key?</h2>
-
-<p>The short answer is no. Using a Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key is not safe, legal, or ethical. Here are some of the reasons why you should avoid using a keygen or a crack to activate Malwarebytes:</p>
-
-<ul>
-<li>It is illegal. Using a keygen or a crack to activate Malwarebytes is considered piracy, which is a violation of the intellectual property rights of the software developer. You could face legal consequences if you are caught using a pirated software.</li>
-<li>It is risky. Downloading a keygen or a crack from the internet exposes your computer to malware infection. Many keygens and cracks are infected with viruses, trojans, worms, or other malicious programs that can harm your system or steal your personal information.</li>
-<li>It is ineffective. Using a keygen or a crack to activate Malwarebytes may not work as expected. You may encounter errors, bugs, crashes, or compatibility issues with your system or other software. You may also miss out on important updates, patches, or new features that are available for the latest version of Malwarebytes.</li>
-<li>It is unethical. Using a keygen or a crack to activate Malwarebytes is unfair to the software developer who invested time, money, and effort to create and maintain the product. You are also depriving yourself of the quality and support that you deserve as a customer.</li>
-</ul>
-
-<h2>What is the Best Way to Get Malwarebytes Premium?</h2>
-
-<p>The best way to get Malwarebytes Premium is to purchase it from the official website or from authorized resellers. This way, you can enjoy all the benefits and features of the premium version without any risks or drawbacks.</p>
-
-<p>Alternatively, you can also try Malwarebytes Premium for free for 14 days by activating the trial version that comes with the free download of Malwarebytes Anti-Malware. This will allow you to test the premium features and see if they suit your needs and preferences.</p>
-<p></p>
-
-<p>If you decide to purchase Malwarebytes Premium after the trial period, you will receive a legitimate license key that will belong to you and only you going forward. You will also receive regular updates, technical support, and customer service from Malwarebytes.</p>
-
-<h2>Conclusion</h2>
-
-<p>Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key is not a safe or reliable way to get Malwarebytes Premium. It is illegal, risky, ineffective, and unethical to use a keygen or a crack to activate Malwarebytes.</p>
-
-<p>The best way to get Malwarebytes Premium is to purchase it from the official website or from authorized resellers. This way, you can enjoy all the benefits and features of the premium version without any risks or drawbacks.</p>
-
-<p>If you want to protect your computer from malware and other threats, don't settle for less than the best anti-malware software available on the market - get Malwarebytes Premium today!</p>
-<h2>How to Install and Activate Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key?</h2>
-
-<p>If you have obtained a Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key from the internet, you may be wondering how to use it to install and activate Malwarebytes Premium on your computer. Here are the steps you need to follow:</p>
-
-<ol>
-<li>Download Malwarebytes Anti-malware 1.7.5 from the official website or from a trusted source.</li>
-<li>Run the setup file and follow the instructions to install the program on your system.</li>
-<li>Open Malwarebytes and click on the Activate button at the top right corner of the main window.</li>
-<li>Enter the serial key that you generated from the keygen or crack into the activation box and click on Activate License.</li>
-<li>Wait for a few seconds until you see a confirmation message that your license has been activated successfully.</li>
-<li>Enjoy Malwarebytes Premium features and protection for your computer.</li>
-</ol>
-
-<h2>What are the Benefits of Malwarebytes Premium?</h2>
-
-<p>Malwarebytes Premium is a comprehensive and advanced anti-malware software that can provide you with many benefits and advantages over the free version or other security products. Here are some of the benefits of Malwarebytes Premium:</p>
-
-<ul>
-<li>It offers real-time protection that can block malware, ransomware, spyware, adware, and other threats before they can infect your system or damage your files.</li>
-<li>It offers web protection that can prevent you from accessing malicious or fraudulent websites that can compromise your online security or privacy.</li>
-<li>It offers ransomware protection that can stop ransomware attacks from encrypting your data or locking your system and demanding a ransom for their release.</li>
-<li>It offers exploit protection that can shield your system and applications from exploits that can take advantage of vulnerabilities or flaws in their code.</li>
-<li>It offers a fast and thorough scan that can detect and remove malware and other unwanted programs from your system with ease and efficiency.</li>
-<li>It offers a file quarantine and record storage that can isolate suspicious files or programs and keep a record of their details and actions for further analysis or removal.</li>
-<li>It offers a soluble agent that can run on infected systems without requiring installation or leaving any traces behind.</li>
-</ul>
-
-<h2>Why You Should Avoid Using Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key?</h2>
-
-<p>As we have seen, using a Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key is not a safe or reliable way to get Malwarebytes Premium. It is illegal, risky, ineffective, and unethical to use a keygen or a crack to activate Malwarebytes.</p>
-
-<p>You should avoid using a Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key because:</p>
-
-<ul>
-<li>You could face legal consequences if you are caught using a pirated software.</li>
-<li>You could expose your computer to malware infection by downloading a keygen or a crack from the internet.</li>
-<li>You could encounter errors, bugs, crashes, or compatibility issues with your system or other software by using an outdated or invalid serial key.</li>
-<li>You could miss out on important updates, patches, or new features that are available for the latest version of Malwarebytes.</li>
-<li>You could deprive yourself of the quality and support that you deserve as a customer by using an illegitimate license key.</li>
-</ul>
-
-<p>The best way to get Malwarebytes Premium is to purchase it from the official website or from authorized resellers. This way, you can enjoy all the benefits and features of the premium version without any risks or drawbacks.</p>
-
-<p>If you want to protect your computer from malware and other threats, don't settle for less than the best anti-malware software available on the market - get Malwarebytes Premium today!</p>
-<h2>Where to Get a Legitimate Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key?</h2>
-
-<p>If you want to get a legitimate Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key, you have two options:</p>
-
-<ol>
-<li>You can purchase it from the official website of Malwarebytes or from authorized resellers. This is the safest and most reliable way to get a valid license key that will work for your system and provide you with all the premium features and benefits of Malwarebytes.</li>
-<li>You can take advantage of the Malwarebytes Amnesty program that is being offered for a limited time. This is a generous offer from Malwarebytes that allows you to get a free replacement key if you have used a keygen or a crack to activate Malwarebytes in the past. You just need to select the option "I'm not sure where I got my key, or I downloaded it from the Internet" and you will receive a new key that will last for one year.</li>
-</ol>
-
-<p>Both options are better than using a pirated or counterfeit key that can expose you to legal, security, and performance issues.</p>
-
-<h2>How to Update Malwarebytes : Anti-malware 1.7.5 to the Latest Version?</h2>
-
-<p>Malwarebytes : Anti-malware 1.7.5 is an outdated version of the software that was released in 2013. Since then, Malwarebytes has released many updates and improvements that have made the software more effective, efficient, and user-friendly.</p>
-
-<p>If you want to update Malwarebytes : Anti-malware 1.7.5 to the latest version, you need to do the following:</p>
-
-<ol>
-<li>Open Malwarebytes and click on the Settings button at the top right corner of the main window.</li>
-<li>Click on the Update tab and then click on the Check for Updates button.</li>
-<li>Wait for Malwarebytes to download and install the latest version of the software.</li>
-<li>Restart your computer if prompted.</li>
-<li>Enjoy the new features and enhancements of Malwarebytes.</li>
-</ol>
-
-<p>Updating Malwarebytes is important to ensure that you have the best protection and performance for your system.</p>
-
-<h2>Conclusion</h2>
-
-<p>Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key is a code that can generate a license key for Malwarebytes Anti-malware 1.7.5, which is an older version of the software that can protect your computer from malware and other threats.</p>
-
-<p>However, using a keygen or a crack to activate Malwarebytes is not a safe or reliable way to get Malwarebytes Premium. It is illegal, risky, ineffective, and unethical to use a pirated software.</p>
-
-<p>The best way to get Malwarebytes Premium is to purchase it from the official website or from authorized resellers. This way, you can enjoy all the benefits and features of the premium version without any risks or drawbacks.</p>
-
-<p>If you want to protect your computer from malware and other threats, don't settle for less than the best anti-malware software available on the market - get Malwarebytes Premium today!</p>
-<h2>Conclusion</h2>
-
-<p>Malwarebytes : Anti-malware 1.7.5 Keygen Serial Serial Key is a code that can generate a license key for Malwarebytes Anti-malware 1.7.5, which is an older version of the software that can protect your computer from malware and other threats.</p>
-
-<p>However, using a keygen or a crack to activate Malwarebytes is not a safe or reliable way to get Malwarebytes Premium. It is illegal, risky, ineffective, and unethical to use a pirated software.</p>
-
-<p>The best way to get Malwarebytes Premium is to purchase it from the official website or from authorized resellers. This way, you can enjoy all the benefits and features of the premium version without any risks or drawbacks.</p>
-
-<p>If you want to protect your computer from malware and other threats, don't settle for less than the best anti-malware software available on the market - get Malwarebytes Premium today!</p> 3cee63e6c2<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/diffle/sd-xl.ui/README.md b/spaces/diffle/sd-xl.ui/README.md
deleted file mode 100644
index db72cb3f1f80282cf1ece8a23b46f36e94e557b0..0000000000000000000000000000000000000000
--- a/spaces/diffle/sd-xl.ui/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: Stable Diffusion XL.UI
-emoji: 🚀
-colorFrom: red
-colorTo: green
-sdk: gradio
-sdk_version: 3.39.0
-app_file: ui.py
-pinned: true
-license: creativeml-openrail-m
----
-
diff --git a/spaces/digitalxingtong/Xingtong-Longread-Dongmuchang-Bert-VITS2/transforms.py b/spaces/digitalxingtong/Xingtong-Longread-Dongmuchang-Bert-VITS2/transforms.py
deleted file mode 100644
index 4793d67ca5a5630e0ffe0f9fb29445c949e64dae..0000000000000000000000000000000000000000
--- a/spaces/digitalxingtong/Xingtong-Longread-Dongmuchang-Bert-VITS2/transforms.py
+++ /dev/null
@@ -1,193 +0,0 @@
-import torch
-from torch.nn import functional as F
-
-import numpy as np
-
-
-DEFAULT_MIN_BIN_WIDTH = 1e-3
-DEFAULT_MIN_BIN_HEIGHT = 1e-3
-DEFAULT_MIN_DERIVATIVE = 1e-3
-
-
-def piecewise_rational_quadratic_transform(inputs, 
-                                           unnormalized_widths,
-                                           unnormalized_heights,
-                                           unnormalized_derivatives,
-                                           inverse=False,
-                                           tails=None, 
-                                           tail_bound=1.,
-                                           min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-                                           min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-                                           min_derivative=DEFAULT_MIN_DERIVATIVE):
-
-    if tails is None:
-        spline_fn = rational_quadratic_spline
-        spline_kwargs = {}
-    else:
-        spline_fn = unconstrained_rational_quadratic_spline
-        spline_kwargs = {
-            'tails': tails,
-            'tail_bound': tail_bound
-        }
-
-    outputs, logabsdet = spline_fn(
-            inputs=inputs,
-            unnormalized_widths=unnormalized_widths,
-            unnormalized_heights=unnormalized_heights,
-            unnormalized_derivatives=unnormalized_derivatives,
-            inverse=inverse,
-            min_bin_width=min_bin_width,
-            min_bin_height=min_bin_height,
-            min_derivative=min_derivative,
-            **spline_kwargs
-    )
-    return outputs, logabsdet
-
-
-def searchsorted(bin_locations, inputs, eps=1e-6):
-    bin_locations[..., -1] += eps
-    return torch.sum(
-        inputs[..., None] >= bin_locations,
-        dim=-1
-    ) - 1
-
-
-def unconstrained_rational_quadratic_spline(inputs,
-                                            unnormalized_widths,
-                                            unnormalized_heights,
-                                            unnormalized_derivatives,
-                                            inverse=False,
-                                            tails='linear',
-                                            tail_bound=1.,
-                                            min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-                                            min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-                                            min_derivative=DEFAULT_MIN_DERIVATIVE):
-    inside_interval_mask = (inputs >= -tail_bound) & (inputs <= tail_bound)
-    outside_interval_mask = ~inside_interval_mask
-
-    outputs = torch.zeros_like(inputs)
-    logabsdet = torch.zeros_like(inputs)
-
-    if tails == 'linear':
-        unnormalized_derivatives = F.pad(unnormalized_derivatives, pad=(1, 1))
-        constant = np.log(np.exp(1 - min_derivative) - 1)
-        unnormalized_derivatives[..., 0] = constant
-        unnormalized_derivatives[..., -1] = constant
-
-        outputs[outside_interval_mask] = inputs[outside_interval_mask]
-        logabsdet[outside_interval_mask] = 0
-    else:
-        raise RuntimeError('{} tails are not implemented.'.format(tails))
-
-    outputs[inside_interval_mask], logabsdet[inside_interval_mask] = rational_quadratic_spline(
-        inputs=inputs[inside_interval_mask],
-        unnormalized_widths=unnormalized_widths[inside_interval_mask, :],
-        unnormalized_heights=unnormalized_heights[inside_interval_mask, :],
-        unnormalized_derivatives=unnormalized_derivatives[inside_interval_mask, :],
-        inverse=inverse,
-        left=-tail_bound, right=tail_bound, bottom=-tail_bound, top=tail_bound,
-        min_bin_width=min_bin_width,
-        min_bin_height=min_bin_height,
-        min_derivative=min_derivative
-    )
-
-    return outputs, logabsdet
-
-def rational_quadratic_spline(inputs,
-                              unnormalized_widths,
-                              unnormalized_heights,
-                              unnormalized_derivatives,
-                              inverse=False,
-                              left=0., right=1., bottom=0., top=1.,
-                              min_bin_width=DEFAULT_MIN_BIN_WIDTH,
-                              min_bin_height=DEFAULT_MIN_BIN_HEIGHT,
-                              min_derivative=DEFAULT_MIN_DERIVATIVE):
-    if torch.min(inputs) < left or torch.max(inputs) > right:
-        raise ValueError('Input to a transform is not within its domain')
-
-    num_bins = unnormalized_widths.shape[-1]
-
-    if min_bin_width * num_bins > 1.0:
-        raise ValueError('Minimal bin width too large for the number of bins')
-    if min_bin_height * num_bins > 1.0:
-        raise ValueError('Minimal bin height too large for the number of bins')
-
-    widths = F.softmax(unnormalized_widths, dim=-1)
-    widths = min_bin_width + (1 - min_bin_width * num_bins) * widths
-    cumwidths = torch.cumsum(widths, dim=-1)
-    cumwidths = F.pad(cumwidths, pad=(1, 0), mode='constant', value=0.0)
-    cumwidths = (right - left) * cumwidths + left
-    cumwidths[..., 0] = left
-    cumwidths[..., -1] = right
-    widths = cumwidths[..., 1:] - cumwidths[..., :-1]
-
-    derivatives = min_derivative + F.softplus(unnormalized_derivatives)
-
-    heights = F.softmax(unnormalized_heights, dim=-1)
-    heights = min_bin_height + (1 - min_bin_height * num_bins) * heights
-    cumheights = torch.cumsum(heights, dim=-1)
-    cumheights = F.pad(cumheights, pad=(1, 0), mode='constant', value=0.0)
-    cumheights = (top - bottom) * cumheights + bottom
-    cumheights[..., 0] = bottom
-    cumheights[..., -1] = top
-    heights = cumheights[..., 1:] - cumheights[..., :-1]
-
-    if inverse:
-        bin_idx = searchsorted(cumheights, inputs)[..., None]
-    else:
-        bin_idx = searchsorted(cumwidths, inputs)[..., None]
-
-    input_cumwidths = cumwidths.gather(-1, bin_idx)[..., 0]
-    input_bin_widths = widths.gather(-1, bin_idx)[..., 0]
-
-    input_cumheights = cumheights.gather(-1, bin_idx)[..., 0]
-    delta = heights / widths
-    input_delta = delta.gather(-1, bin_idx)[..., 0]
-
-    input_derivatives = derivatives.gather(-1, bin_idx)[..., 0]
-    input_derivatives_plus_one = derivatives[..., 1:].gather(-1, bin_idx)[..., 0]
-
-    input_heights = heights.gather(-1, bin_idx)[..., 0]
-
-    if inverse:
-        a = (((inputs - input_cumheights) * (input_derivatives
-                                             + input_derivatives_plus_one
-                                             - 2 * input_delta)
-              + input_heights * (input_delta - input_derivatives)))
-        b = (input_heights * input_derivatives
-             - (inputs - input_cumheights) * (input_derivatives
-                                              + input_derivatives_plus_one
-                                              - 2 * input_delta))
-        c = - input_delta * (inputs - input_cumheights)
-
-        discriminant = b.pow(2) - 4 * a * c
-        assert (discriminant >= 0).all()
-
-        root = (2 * c) / (-b - torch.sqrt(discriminant))
-        outputs = root * input_bin_widths + input_cumwidths
-
-        theta_one_minus_theta = root * (1 - root)
-        denominator = input_delta + ((input_derivatives + input_derivatives_plus_one - 2 * input_delta)
-                                     * theta_one_minus_theta)
-        derivative_numerator = input_delta.pow(2) * (input_derivatives_plus_one * root.pow(2)
-                                                     + 2 * input_delta * theta_one_minus_theta
-                                                     + input_derivatives * (1 - root).pow(2))
-        logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
-
-        return outputs, -logabsdet
-    else:
-        theta = (inputs - input_cumwidths) / input_bin_widths
-        theta_one_minus_theta = theta * (1 - theta)
-
-        numerator = input_heights * (input_delta * theta.pow(2)
-                                     + input_derivatives * theta_one_minus_theta)
-        denominator = input_delta + ((input_derivatives + input_derivatives_plus_one - 2 * input_delta)
-                                     * theta_one_minus_theta)
-        outputs = input_cumheights + numerator / denominator
-
-        derivative_numerator = input_delta.pow(2) * (input_derivatives_plus_one * theta.pow(2)
-                                                     + 2 * input_delta * theta_one_minus_theta
-                                                     + input_derivatives * (1 - theta).pow(2))
-        logabsdet = torch.log(derivative_numerator) - 2 * torch.log(denominator)
-
-        return outputs, logabsdet
diff --git a/spaces/dirge/voicevox/get_cost_candidates.py b/spaces/dirge/voicevox/get_cost_candidates.py
deleted file mode 100644
index 072c4b4d57a757c957a0a1e9ab0afb0c5c989cb0..0000000000000000000000000000000000000000
--- a/spaces/dirge/voicevox/get_cost_candidates.py
+++ /dev/null
@@ -1,91 +0,0 @@
-"""
-voicevox_engine/part_of_speech_data.pyのcost_candidatesを計算するプログラムです。
-引数のnaist_jdic_pathには、open_jtalkのsrc/mecab-naist-jdic/naist-jdic.csvを指定してください。
-
-実行例:
-python get_cost_candidates.py --naist_jdic_path=/path/to/naist-jdic.csv \
-    --pos=名詞 \
-    --pos_detail_1=固有名詞 \
-    --pos_detail_2=一般 \
-    --pos_detail_3=*
-
-cost_candidatesの値の詳細は以下の通りです。
-- 1番目の値はnaist_jdic内の同一品詞の最小コストから1を引いたもの、11番目の値は最大コストに1を足したものです。
-- 2番目の値はnaist_jdic内の同一品詞のコストの下位1%、10番目の値は99%の値です。
-- 6番目の値はnaist_jdic内の同一品詞のコストの最頻値です。
-- 2番目から6番目、6番目から10番目までの値は一定割合で増加するようになっています。
-"""
-
-import argparse
-import statistics
-from pathlib import Path
-from typing import List
-
-import numpy as np
-
-
-def get_candidates(
-    naist_jdic_path: Path,
-    pos: str,
-    pos_detail_1: str,
-    pos_detail_2: str,
-    pos_detail_3: str,
-) -> List[int]:
-    costs = []
-    with naist_jdic_path.open(encoding="utf-8") as f:
-        for line in f:
-            (
-                _,
-                _,
-                _,
-                _cost,
-                _pos,
-                _pos_detail_1,
-                _pos_detail_2,
-                _pos_detail_3,
-                _,
-                _,
-                _,
-                _,
-                _,
-                _,
-                _,
-            ) = line.split(",")
-            if (_pos, _pos_detail_1, _pos_detail_2, _pos_detail_3) == (
-                pos,
-                pos_detail_1,
-                pos_detail_2,
-                pos_detail_3,
-            ):
-                costs.append(int(_cost))
-    assert len(costs) > 0
-    cost_min = min(costs) - 1
-    cost_1per = np.quantile(costs, 0.01).astype(np.int64)
-    cost_mode = statistics.mode(costs)
-    cost_99per = np.quantile(costs, 0.99).astype(np.int64)
-    cost_max = max(costs) + 1
-    return (
-        [cost_min]
-        + [int(cost_1per + (cost_mode - cost_1per) * i / 4) for i in range(5)]
-        + [int(cost_mode + (cost_99per - cost_mode) * i / 4) for i in range(1, 5)]
-        + [cost_max]
-    )
-
-
-if __name__ == "__main__":
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--naist_jdic_path", type=Path)
-    parser.add_argument("--pos", type=str)
-    parser.add_argument("--pos_detail_1", type=str)
-    parser.add_argument("--pos_detail_2", type=str)
-    parser.add_argument("--pos_detail_3", type=str)
-    args = parser.parse_args()
-    print(
-        get_candidates(
-            naist_jdic_path=args.naist_jdic_path,
-            pos=args.pos,
-            pos_detail_1=args.pos_detail_1,
-            pos_detail_2=args.pos_detail_2,
-            pos_detail_3=args.pos_detail_3,
-        )
-    )
diff --git a/spaces/dmccreary/Art-From-Text-And-Images/README.md b/spaces/dmccreary/Art-From-Text-And-Images/README.md
deleted file mode 100644
index 34d4f6e6a568c2b96edb78e3b9ad8789ddcf1aa4..0000000000000000000000000000000000000000
--- a/spaces/dmccreary/Art-From-Text-And-Images/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Art From Text And Images
-emoji: ⚡
-colorFrom: gray
-colorTo: blue
-sdk: gradio
-sdk_version: 3.1.5
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/dorkai/ChatUIPro/i18n/client.ts b/spaces/dorkai/ChatUIPro/i18n/client.ts
deleted file mode 100644
index 98424d2d5fd637de5435d840b2d0771dc6494668..0000000000000000000000000000000000000000
--- a/spaces/dorkai/ChatUIPro/i18n/client.ts
+++ /dev/null
@@ -1,18 +0,0 @@
-import Cookies from 'js-cookie'
-import type { Locale } from '.'
-import { i18n } from '.'
-import { LOCALE_COOKIE_NAME } from '@/config'
-import { changeLanguage } from '@/i18n/i18next-config'
-
-// same logic as server
-export const getLocaleOnClient = (): Locale => {
-  return Cookies.get(LOCALE_COOKIE_NAME) as Locale || i18n.defaultLocale
-}
-
-export const setLocaleOnClient = (locale: Locale, notReload?: boolean) => {
-  Cookies.set(LOCALE_COOKIE_NAME, locale)
-  changeLanguage(locale)
-  if (!notReload) {
-    location.reload()
-  }
-}
diff --git a/spaces/dorkai/SINGPT-Temporary/convert-to-flexgen.py b/spaces/dorkai/SINGPT-Temporary/convert-to-flexgen.py
deleted file mode 100644
index 917f023c3fe395c2e3cbcad11c9cdc6b85ef1e7e..0000000000000000000000000000000000000000
--- a/spaces/dorkai/SINGPT-Temporary/convert-to-flexgen.py
+++ /dev/null
@@ -1,60 +0,0 @@
-'''
-
-Converts a transformers model to a format compatible with flexgen.
-
-'''
-
-import argparse
-import os
-from pathlib import Path
-
-import numpy as np
-import torch
-from tqdm import tqdm
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-parser = argparse.ArgumentParser(formatter_class=lambda prog: argparse.HelpFormatter(prog,max_help_position=54))
-parser.add_argument('MODEL', type=str, default=None, nargs='?', help="Path to the input model.")
-args = parser.parse_args()
-
-def disable_torch_init():
-    """
-    Disable the redundant torch default initialization to accelerate model creation.
-    """
-    import torch
-    global torch_linear_init_backup
-    global torch_layer_norm_init_backup
-
-    torch_linear_init_backup = torch.nn.Linear.reset_parameters
-    setattr(torch.nn.Linear, "reset_parameters", lambda self: None)
-
-    torch_layer_norm_init_backup = torch.nn.LayerNorm.reset_parameters
-    setattr(torch.nn.LayerNorm, "reset_parameters", lambda self: None)
-
-def restore_torch_init():
-    """Rollback the change made by disable_torch_init."""
-    import torch
-    setattr(torch.nn.Linear, "reset_parameters", torch_linear_init_backup)
-    setattr(torch.nn.LayerNorm, "reset_parameters", torch_layer_norm_init_backup)
-
-if __name__ == '__main__':
-    path = Path(args.MODEL)
-    model_name = path.name
-
-    print(f"Loading {model_name}...")
-    #disable_torch_init()
-    model = AutoModelForCausalLM.from_pretrained(path, torch_dtype=torch.float16, low_cpu_mem_usage=True)
-    #restore_torch_init()
-
-    tokenizer = AutoTokenizer.from_pretrained(path)
-
-    out_folder = Path(f"models/{model_name}-np")
-    if not Path(out_folder).exists():
-        os.mkdir(out_folder)
-
-    print(f"Saving the converted model to {out_folder}...")
-    for name, param in tqdm(list(model.model.named_parameters())):
-        name = name.replace("decoder.final_layer_norm", "decoder.layer_norm")
-        param_path = os.path.join(out_folder, name)
-        with open(param_path, "wb") as f:
-            np.save(f, param.cpu().detach().numpy())
diff --git a/spaces/emc348/faces-through-time/models/StyleCLIP/global_directions/dnnlib/tflib/autosummary.py b/spaces/emc348/faces-through-time/models/StyleCLIP/global_directions/dnnlib/tflib/autosummary.py
deleted file mode 100644
index 56dfb96093bb5b1129a99585b4ce655b98d80009..0000000000000000000000000000000000000000
--- a/spaces/emc348/faces-through-time/models/StyleCLIP/global_directions/dnnlib/tflib/autosummary.py
+++ /dev/null
@@ -1,193 +0,0 @@
-# Copyright (c) 2020, NVIDIA CORPORATION.  All rights reserved.
-#
-# NVIDIA CORPORATION and its licensors retain all intellectual property
-# and proprietary rights in and to this software, related documentation
-# and any modifications thereto.  Any use, reproduction, disclosure or
-# distribution of this software and related documentation without an express
-# license agreement from NVIDIA CORPORATION is strictly prohibited.
-
-"""Helper for adding automatically tracked values to Tensorboard.
-
-Autosummary creates an identity op that internally keeps track of the input
-values and automatically shows up in TensorBoard. The reported value
-represents an average over input components. The average is accumulated
-constantly over time and flushed when save_summaries() is called.
-
-Notes:
-- The output tensor must be used as an input for something else in the
-  graph. Otherwise, the autosummary op will not get executed, and the average
-  value will not get accumulated.
-- It is perfectly fine to include autosummaries with the same name in
-  several places throughout the graph, even if they are executed concurrently.
-- It is ok to also pass in a python scalar or numpy array. In this case, it
-  is added to the average immediately.
-"""
-
-from collections import OrderedDict
-import numpy as np
-import tensorflow as tf
-from tensorboard import summary as summary_lib
-from tensorboard.plugins.custom_scalar import layout_pb2
-
-from . import tfutil
-from .tfutil import TfExpression
-from .tfutil import TfExpressionEx
-
-# Enable "Custom scalars" tab in TensorBoard for advanced formatting.
-# Disabled by default to reduce tfevents file size.
-enable_custom_scalars = False
-
-_dtype = tf.float64
-_vars = OrderedDict()  # name => [var, ...]
-_immediate = OrderedDict()  # name => update_op, update_value
-_finalized = False
-_merge_op = None
-
-
-def _create_var(name: str, value_expr: TfExpression) -> TfExpression:
-    """Internal helper for creating autosummary accumulators."""
-    assert not _finalized
-    name_id = name.replace("/", "_")
-    v = tf.cast(value_expr, _dtype)
-
-    if v.shape.is_fully_defined():
-        size = np.prod(v.shape.as_list())
-        size_expr = tf.constant(size, dtype=_dtype)
-    else:
-        size = None
-        size_expr = tf.reduce_prod(tf.cast(tf.shape(v), _dtype))
-
-    if size == 1:
-        if v.shape.ndims != 0:
-            v = tf.reshape(v, [])
-        v = [size_expr, v, tf.square(v)]
-    else:
-        v = [size_expr, tf.reduce_sum(v), tf.reduce_sum(tf.square(v))]
-    v = tf.cond(tf.is_finite(v[1]), lambda: tf.stack(v), lambda: tf.zeros(3, dtype=_dtype))
-
-    with tfutil.absolute_name_scope("Autosummary/" + name_id), tf.control_dependencies(None):
-        var = tf.Variable(tf.zeros(3, dtype=_dtype), trainable=False)  # [sum(1), sum(x), sum(x**2)]
-    update_op = tf.cond(tf.is_variable_initialized(var), lambda: tf.assign_add(var, v), lambda: tf.assign(var, v))
-
-    if name in _vars:
-        _vars[name].append(var)
-    else:
-        _vars[name] = [var]
-    return update_op
-
-
-def autosummary(name: str, value: TfExpressionEx, passthru: TfExpressionEx = None, condition: TfExpressionEx = True) -> TfExpressionEx:
-    """Create a new autosummary.
-
-    Args:
-        name:     Name to use in TensorBoard
-        value:    TensorFlow expression or python value to track
-        passthru: Optionally return this TF node without modifications but tack an autosummary update side-effect to this node.
-
-    Example use of the passthru mechanism:
-
-    n = autosummary('l2loss', loss, passthru=n)
-
-    This is a shorthand for the following code:
-
-    with tf.control_dependencies([autosummary('l2loss', loss)]):
-        n = tf.identity(n)
-    """
-    tfutil.assert_tf_initialized()
-    name_id = name.replace("/", "_")
-
-    if tfutil.is_tf_expression(value):
-        with tf.name_scope("summary_" + name_id), tf.device(value.device):
-            condition = tf.convert_to_tensor(condition, name='condition')
-            update_op = tf.cond(condition, lambda: tf.group(_create_var(name, value)), tf.no_op)
-            with tf.control_dependencies([update_op]):
-                return tf.identity(value if passthru is None else passthru)
-
-    else:  # python scalar or numpy array
-        assert not tfutil.is_tf_expression(passthru)
-        assert not tfutil.is_tf_expression(condition)
-        if condition:
-            if name not in _immediate:
-                with tfutil.absolute_name_scope("Autosummary/" + name_id), tf.device(None), tf.control_dependencies(None):
-                    update_value = tf.placeholder(_dtype)
-                    update_op = _create_var(name, update_value)
-                    _immediate[name] = update_op, update_value
-            update_op, update_value = _immediate[name]
-            tfutil.run(update_op, {update_value: value})
-        return value if passthru is None else passthru
-
-
-def finalize_autosummaries() -> None:
-    """Create the necessary ops to include autosummaries in TensorBoard report.
-    Note: This should be done only once per graph.
-    """
-    global _finalized
-    tfutil.assert_tf_initialized()
-
-    if _finalized:
-        return None
-
-    _finalized = True
-    tfutil.init_uninitialized_vars([var for vars_list in _vars.values() for var in vars_list])
-
-    # Create summary ops.
-    with tf.device(None), tf.control_dependencies(None):
-        for name, vars_list in _vars.items():
-            name_id = name.replace("/", "_")
-            with tfutil.absolute_name_scope("Autosummary/" + name_id):
-                moments = tf.add_n(vars_list)
-                moments /= moments[0]
-                with tf.control_dependencies([moments]):  # read before resetting
-                    reset_ops = [tf.assign(var, tf.zeros(3, dtype=_dtype)) for var in vars_list]
-                    with tf.name_scope(None), tf.control_dependencies(reset_ops):  # reset before reporting
-                        mean = moments[1]
-                        std = tf.sqrt(moments[2] - tf.square(moments[1]))
-                        tf.summary.scalar(name, mean)
-                        if enable_custom_scalars:
-                            tf.summary.scalar("xCustomScalars/" + name + "/margin_lo", mean - std)
-                            tf.summary.scalar("xCustomScalars/" + name + "/margin_hi", mean + std)
-
-    # Setup layout for custom scalars.
-    layout = None
-    if enable_custom_scalars:
-        cat_dict = OrderedDict()
-        for series_name in sorted(_vars.keys()):
-            p = series_name.split("/")
-            cat = p[0] if len(p) >= 2 else ""
-            chart = "/".join(p[1:-1]) if len(p) >= 3 else p[-1]
-            if cat not in cat_dict:
-                cat_dict[cat] = OrderedDict()
-            if chart not in cat_dict[cat]:
-                cat_dict[cat][chart] = []
-            cat_dict[cat][chart].append(series_name)
-        categories = []
-        for cat_name, chart_dict in cat_dict.items():
-            charts = []
-            for chart_name, series_names in chart_dict.items():
-                series = []
-                for series_name in series_names:
-                    series.append(layout_pb2.MarginChartContent.Series(
-                        value=series_name,
-                        lower="xCustomScalars/" + series_name + "/margin_lo",
-                        upper="xCustomScalars/" + series_name + "/margin_hi"))
-                margin = layout_pb2.MarginChartContent(series=series)
-                charts.append(layout_pb2.Chart(title=chart_name, margin=margin))
-            categories.append(layout_pb2.Category(title=cat_name, chart=charts))
-        layout = summary_lib.custom_scalar_pb(layout_pb2.Layout(category=categories))
-    return layout
-
-def save_summaries(file_writer, global_step=None):
-    """Call FileWriter.add_summary() with all summaries in the default graph,
-    automatically finalizing and merging them on the first call.
-    """
-    global _merge_op
-    tfutil.assert_tf_initialized()
-
-    if _merge_op is None:
-        layout = finalize_autosummaries()
-        if layout is not None:
-            file_writer.add_summary(layout)
-        with tf.device(None), tf.control_dependencies(None):
-            _merge_op = tf.summary.merge_all()
-
-    file_writer.add_summary(_merge_op.eval(), global_step)
diff --git a/spaces/enesbol/case_dif/modules/att_modules.py b/spaces/enesbol/case_dif/modules/att_modules.py
deleted file mode 100644
index cf242d1605b34205e5260154221d41d6a210d84d..0000000000000000000000000000000000000000
--- a/spaces/enesbol/case_dif/modules/att_modules.py
+++ /dev/null
@@ -1,297 +0,0 @@
-"""
-author: Min Seok Lee and Wooseok Shin
-"""
-import numpy as np
-import torch.nn as nn
-from torch.fft import fft2, fftshift, ifft2, ifftshift
-from util.utils import *
-import torch.nn.functional as F
-from config import getConfig
-from modules.conv_modules import BasicConv2d, DWConv, DWSConv
-
-cfg = getConfig()
-
-
-class Frequency_Edge_Module(nn.Module):
-    def __init__(self, radius, channel):
-        super(Frequency_Edge_Module, self).__init__()
-        self.radius = radius
-        self.UAM = UnionAttentionModule(channel, only_channel_tracing=True)
-
-        # DWS + DWConv
-        self.DWSConv = DWSConv(channel, channel, kernel=3, padding=1, kernels_per_layer=1)
-        self.DWConv1 = nn.Sequential(
-            DWConv(channel, channel, kernel=1, padding=0, dilation=1),
-            BasicConv2d(channel, channel // 4, 1),
-        )
-        self.DWConv2 = nn.Sequential(
-            DWConv(channel, channel, kernel=3, padding=1, dilation=1),
-            BasicConv2d(channel, channel // 4, 1),
-        )
-        self.DWConv3 = nn.Sequential(
-            DWConv(channel, channel, kernel=3, padding=3, dilation=3),
-            BasicConv2d(channel, channel // 4, 1),
-        )
-        self.DWConv4 = nn.Sequential(
-            DWConv(channel, channel, kernel=3, padding=5, dilation=5),
-            BasicConv2d(channel, channel // 4, 1),
-        )
-        self.conv = BasicConv2d(channel, 1, 1)
-
-    def distance(self, i, j, imageSize, r):
-        dis = np.sqrt((i - imageSize / 2) ** 2 + (j - imageSize / 2) ** 2)
-        if dis < r:
-            return 1.0
-        else:
-            return 0
-
-    def mask_radial(self, img, r):
-        batch, channels, rows, cols = img.shape
-        mask = torch.zeros((rows, cols), dtype=torch.float32)
-        for i in range(rows):
-            for j in range(cols):
-                mask[i, j] = self.distance(i, j, imageSize=rows, r=r)
-        return mask
-
-    def forward(self, x):
-        """
-        Input:
-            The first encoder block representation: (B, C, H, W)
-        Returns:
-            Edge refined representation: X + edge (B, C, H, W)
-        """
-        x_fft = fft2(x, dim=(-2, -1))
-        x_fft = fftshift(x_fft)
-
-        # Mask -> low, high separate
-        mask = self.mask_radial(img=x, r=self.radius).cuda()
-        high_frequency = x_fft * (1 - mask)
-        x_fft = ifftshift(high_frequency)
-        x_fft = ifft2(x_fft, dim=(-2, -1))
-        x_H = torch.abs(x_fft)
-
-        x_H, _ = self.UAM.Channel_Tracer(x_H)
-        edge_maks = self.DWSConv(x_H)
-        skip = edge_maks.clone()
-
-        edge_maks = torch.cat([self.DWConv1(edge_maks), self.DWConv2(edge_maks),
-                               self.DWConv3(edge_maks), self.DWConv4(edge_maks)], dim=1) + skip
-        edge = torch.relu(self.conv(edge_maks))
-
-        x = x + edge  # Feature + Masked Edge information
-
-        return x, edge
-
-
-class RFB_Block(nn.Module):
-    def __init__(self, in_channel, out_channel):
-        super(RFB_Block, self).__init__()
-        self.relu = nn.ReLU(True)
-        self.branch0 = nn.Sequential(
-            BasicConv2d(in_channel, out_channel, 1),
-        )
-        self.branch1 = nn.Sequential(
-            BasicConv2d(in_channel, out_channel, 1),
-            BasicConv2d(out_channel, out_channel, kernel_size=(1, 3), padding=(0, 1)),
-            BasicConv2d(out_channel, out_channel, kernel_size=(3, 1), padding=(1, 0)),
-            BasicConv2d(out_channel, out_channel, 3, padding=3, dilation=3)
-        )
-        self.branch2 = nn.Sequential(
-            BasicConv2d(in_channel, out_channel, 1),
-            BasicConv2d(out_channel, out_channel, kernel_size=(1, 5), padding=(0, 2)),
-            BasicConv2d(out_channel, out_channel, kernel_size=(5, 1), padding=(2, 0)),
-            BasicConv2d(out_channel, out_channel, 3, padding=5, dilation=5)
-        )
-        self.branch3 = nn.Sequential(
-            BasicConv2d(in_channel, out_channel, 1),
-            BasicConv2d(out_channel, out_channel, kernel_size=(1, 7), padding=(0, 3)),
-            BasicConv2d(out_channel, out_channel, kernel_size=(7, 1), padding=(3, 0)),
-            BasicConv2d(out_channel, out_channel, 3, padding=7, dilation=7)
-        )
-        self.conv_cat = BasicConv2d(4 * out_channel, out_channel, 3, padding=1)
-        self.conv_res = BasicConv2d(in_channel, out_channel, 1)
-
-    def forward(self, x):
-        x0 = self.branch0(x)
-        x1 = self.branch1(x)
-        x2 = self.branch2(x)
-        x3 = self.branch3(x)
-        x_cat = torch.cat((x0, x1, x2, x3), 1)
-        x_cat = self.conv_cat(x_cat)
-
-        x = self.relu(x_cat + self.conv_res(x))
-        return x
-
-
-class GlobalAvgPool(nn.Module):
-    def __init__(self, flatten=False):
-        super(GlobalAvgPool, self).__init__()
-        self.flatten = flatten
-
-    def forward(self, x):
-        if self.flatten:
-            in_size = x.size()
-            return x.view((in_size[0], in_size[1], -1)).mean(dim=2)
-        else:
-            return x.view(x.size(0), x.size(1), -1).mean(-1).view(x.size(0), x.size(1), 1, 1)
-
-
-class UnionAttentionModule(nn.Module):
-    def __init__(self, n_channels, only_channel_tracing=False):
-        super(UnionAttentionModule, self).__init__()
-        self.GAP = GlobalAvgPool()
-        self.confidence_ratio = cfg.gamma
-        self.bn = nn.BatchNorm2d(n_channels)
-        self.norm = nn.Sequential(
-            nn.BatchNorm2d(n_channels),
-            nn.Dropout3d(self.confidence_ratio)
-        )
-        self.channel_q = nn.Conv2d(in_channels=n_channels, out_channels=n_channels, kernel_size=1, stride=1,
-                                   padding=0, bias=False)
-        self.channel_k = nn.Conv2d(in_channels=n_channels, out_channels=n_channels, kernel_size=1, stride=1,
-                                   padding=0, bias=False)
-        self.channel_v = nn.Conv2d(in_channels=n_channels, out_channels=n_channels, kernel_size=1, stride=1,
-                                   padding=0, bias=False)
-
-        self.fc = nn.Conv2d(in_channels=n_channels, out_channels=n_channels, kernel_size=1, stride=1,
-                            padding=0, bias=False)
-
-        if only_channel_tracing == False:
-            self.spatial_q = nn.Conv2d(in_channels=n_channels, out_channels=1, kernel_size=1, stride=1,
-                                       padding=0, bias=False)
-            self.spatial_k = nn.Conv2d(in_channels=n_channels, out_channels=1, kernel_size=1, stride=1,
-                                       padding=0, bias=False)
-            self.spatial_v = nn.Conv2d(in_channels=n_channels, out_channels=1, kernel_size=1, stride=1,
-                                       padding=0, bias=False)
-        self.sigmoid = nn.Sigmoid()
-
-    def masking(self, x, mask):
-        mask = mask.squeeze(3).squeeze(2)
-        threshold = torch.quantile(mask, self.confidence_ratio, dim=-1, keepdim=True)
-        mask[mask <= threshold] = 0.0
-        mask = mask.unsqueeze(2).unsqueeze(3)
-        mask = mask.expand(-1, x.shape[1], x.shape[2], x.shape[3]).contiguous()
-        masked_x = x * mask
-
-        return masked_x
-
-    def Channel_Tracer(self, x):
-        avg_pool = self.GAP(x)
-        x_norm = self.norm(avg_pool)
-
-        q = self.channel_q(x_norm).squeeze(-1)
-        k = self.channel_k(x_norm).squeeze(-1)
-        v = self.channel_v(x_norm).squeeze(-1)
-
-        # softmax(Q*K^T)
-        QK_T = torch.matmul(q, k.transpose(1, 2))
-        alpha = F.softmax(QK_T, dim=-1)
-
-        # a*v
-        att = torch.matmul(alpha, v).unsqueeze(-1)
-        att = self.fc(att)
-        att = self.sigmoid(att)
-
-        output = (x * att) + x
-        alpha_mask = att.clone()
-
-        return output, alpha_mask
-
-    def forward(self, x):
-        X_c, alpha_mask = self.Channel_Tracer(x)
-        X_c = self.bn(X_c)
-        x_drop = self.masking(X_c, alpha_mask)
-
-        q = self.spatial_q(x_drop).squeeze(1)
-        k = self.spatial_k(x_drop).squeeze(1)
-        v = self.spatial_v(x_drop).squeeze(1)
-
-        # softmax(Q*K^T)
-        QK_T = torch.matmul(q, k.transpose(1, 2))
-        alpha = F.softmax(QK_T, dim=-1)
-
-        output = torch.matmul(alpha, v).unsqueeze(1) + v.unsqueeze(1)
-
-        return output
-
-
-class aggregation(nn.Module):
-    def __init__(self, channel):
-        super(aggregation, self).__init__()
-        self.relu = nn.ReLU(True)
-
-        self.upsample = nn.Upsample(scale_factor=2, mode='bilinear', align_corners=True)
-        self.conv_upsample1 = BasicConv2d(channel[2], channel[1], 3, padding=1)
-        self.conv_upsample2 = BasicConv2d(channel[2], channel[0], 3, padding=1)
-        self.conv_upsample3 = BasicConv2d(channel[1], channel[0], 3, padding=1)
-        self.conv_upsample4 = BasicConv2d(channel[2], channel[2], 3, padding=1)
-        self.conv_upsample5 = BasicConv2d(channel[2] + channel[1], channel[2] + channel[1], 3, padding=1)
-
-        self.conv_concat2 = BasicConv2d((channel[2] + channel[1]), (channel[2] + channel[1]), 3, padding=1)
-        self.conv_concat3 = BasicConv2d((channel[0] + channel[1] + channel[2]),
-                                        (channel[0] + channel[1] + channel[2]), 3, padding=1)
-
-        self.UAM = UnionAttentionModule(channel[0] + channel[1] + channel[2])
-
-    def forward(self, e4, e3, e2):
-        e4_1 = e4
-        e3_1 = self.conv_upsample1(self.upsample(e4)) * e3
-        e2_1 = self.conv_upsample2(self.upsample(self.upsample(e4))) \
-               * self.conv_upsample3(self.upsample(e3)) * e2
-
-        e3_2 = torch.cat((e3_1, self.conv_upsample4(self.upsample(e4_1))), 1)
-        e3_2 = self.conv_concat2(e3_2)
-
-        e2_2 = torch.cat((e2_1, self.conv_upsample5(self.upsample(e3_2))), 1)
-        x = self.conv_concat3(e2_2)
-
-        output = self.UAM(x)
-
-        return output
-
-
-class ObjectAttention(nn.Module):
-    def __init__(self, channel, kernel_size):
-        super(ObjectAttention, self).__init__()
-        self.channel = channel
-        self.DWSConv = DWSConv(channel, channel // 2, kernel=kernel_size, padding=1, kernels_per_layer=1)
-        self.DWConv1 = nn.Sequential(
-            DWConv(channel // 2, channel // 2, kernel=1, padding=0, dilation=1),
-            BasicConv2d(channel // 2, channel // 8, 1),
-        )
-        self.DWConv2 = nn.Sequential(
-            DWConv(channel // 2, channel // 2, kernel=3, padding=1, dilation=1),
-            BasicConv2d(channel // 2, channel // 8, 1),
-        )
-        self.DWConv3 = nn.Sequential(
-            DWConv(channel // 2, channel // 2, kernel=3, padding=3, dilation=3),
-            BasicConv2d(channel // 2, channel // 8, 1),
-        )
-        self.DWConv4 = nn.Sequential(
-            DWConv(channel // 2, channel // 2, kernel=3, padding=5, dilation=5),
-            BasicConv2d(channel // 2, channel // 8, 1),
-        )
-        self.conv1 = BasicConv2d(channel // 2, 1, 1)
-
-    def forward(self, decoder_map, encoder_map):
-        """
-        Args:
-            decoder_map: decoder representation (B, 1, H, W).
-            encoder_map: encoder block output (B, C, H, W).
-        Returns:
-            decoder representation: (B, 1, H, W)
-        """
-        mask_bg = -1 * torch.sigmoid(decoder_map) + 1  # Sigmoid & Reverse
-        mask_ob = torch.sigmoid(decoder_map)  # object attention
-        x = mask_ob.expand(-1, self.channel, -1, -1).mul(encoder_map)
-
-        edge = mask_bg.clone()
-        edge[edge > cfg.denoise] = 0
-        x = x + (edge * encoder_map)
-
-        x = self.DWSConv(x)
-        skip = x.clone()
-        x = torch.cat([self.DWConv1(x), self.DWConv2(x), self.DWConv3(x), self.DWConv4(x)], dim=1) + skip
-        x = torch.relu(self.conv1(x))
-
-        return x + decoder_map
\ No newline at end of file
diff --git a/spaces/ericmichael/openai-playground-utrgv/app/schemas.py b/spaces/ericmichael/openai-playground-utrgv/app/schemas.py
deleted file mode 100644
index de1169e4c89fbf97778676621b936015f4548c38..0000000000000000000000000000000000000000
--- a/spaces/ericmichael/openai-playground-utrgv/app/schemas.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import uuid
-
-from fastapi_users import schemas
-
-
-class UserRead(schemas.BaseUser[uuid.UUID]):
-    pass
-
-
-class UserCreate(schemas.BaseUserCreate):
-    pass
-
-
-class UserUpdate(schemas.BaseUserUpdate):
-    pass
diff --git a/spaces/evaluate-metric/chrf/README.md b/spaces/evaluate-metric/chrf/README.md
deleted file mode 100644
index 9e495a63b83f105776e123c105b2272ce442cff6..0000000000000000000000000000000000000000
--- a/spaces/evaluate-metric/chrf/README.md
+++ /dev/null
@@ -1,157 +0,0 @@
----
-title: chrF
-emoji: 🤗 
-colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 3.19.1
-app_file: app.py
-pinned: false
-tags:
-- evaluate
-- metric
-description: >-
-  ChrF and ChrF++ are two MT evaluation metrics. They both use the F-score statistic for character n-gram matches,
-  and ChrF++ adds word n-grams as well which correlates more strongly with direct assessment. We use the implementation
-  that is already present in sacrebleu.
-  
-  The implementation here is slightly different from sacrebleu in terms of the required input format. The length of
-  the references and hypotheses lists need to be the same, so you may need to transpose your references compared to
-  sacrebleu's required input format. See https://github.com/huggingface/datasets/issues/3154#issuecomment-950746534
-  
-  See the README.md file at https://github.com/mjpost/sacreBLEU#chrf--chrf for more information.
----
-
-# Metric Card for chrF(++)
-
-
-## Metric Description
-ChrF and ChrF++ are two MT evaluation metrics that use the F-score statistic for character n-gram matches. ChrF++ additionally includes word n-grams, which correlate more strongly with direct assessment. We use the implementation that is already present in sacrebleu.
-
-While this metric is included in sacreBLEU, the implementation here is slightly different from sacreBLEU in terms of the required input format. Here, the length of the references and hypotheses lists need to be the same, so you may need to transpose your references compared to sacrebleu's required input format. See https://github.com/huggingface/datasets/issues/3154#issuecomment-950746534
-
-See the [sacreBLEU README.md](https://github.com/mjpost/sacreBLEU#chrf--chrf) for more information.
-
-
-## How to Use
-At minimum, this metric requires a `list` of predictions and a `list` of `list`s of references:
-```python
->>> prediction = ["The relationship between cats and dogs is not exactly friendly.", "a good bookshop is just a genteel black hole that knows how to read."]
->>> reference = [["The relationship between dogs and cats is not exactly friendly.", ], ["A good bookshop is just a genteel Black Hole that knows how to read."]]
->>> chrf = evaluate.load("chrf")
->>> results = chrf.compute(predictions=prediction, references=reference)
->>> print(results)
-{'score': 84.64214891738334, 'char_order': 6, 'word_order': 0, 'beta': 2}
-```
-
-### Inputs
-- **`predictions`** (`list` of `str`): The predicted sentences.
-- **`references`** (`list` of `list` of `str`): The references. There should be one reference sub-list for each prediction sentence.
-- **`char_order`** (`int`): Character n-gram order. Defaults to `6`. 
-- **`word_order`** (`int`): Word n-gram order. If equals to 2, the metric is referred to as chrF++. Defaults to `0`.
-- **`beta`** (`int`): Determine the importance of recall w.r.t precision. Defaults to `2`.
-- **`lowercase`** (`bool`): If `True`, enables case-insensitivity. Defaults to `False`.
-- **`whitespace`** (`bool`): If `True`, include whitespaces when extracting character n-grams. Defaults to `False`.
-- **`eps_smoothing`** (`bool`): If `True`, applies epsilon smoothing similar to reference chrF++.py, NLTK, and Moses implementations. If `False`, takes into account effective match order similar to sacreBLEU < 2.0.0. Defaults to `False`.
-
-
-
-### Output Values
-The output is a dictionary containing the following fields:
-- **`'score'`** (`float`): The chrF (chrF++) score.
-- **`'char_order'`** (`int`): The character n-gram order.
-- **`'word_order'`** (`int`): The word n-gram order. If equals to `2`, the metric is referred to as chrF++.
-- **`'beta'`** (`int`): Determine the importance of recall w.r.t precision.
-
-
-The output is formatted as below:
-```python
-{'score': 61.576379378113785, 'char_order': 6, 'word_order': 0, 'beta': 2}
-```
-
-The chrF(++) score can be any value between `0.0` and `100.0`, inclusive.
-
-#### Values from Popular Papers
-
-
-### Examples
-A simple example of calculating chrF:
-```python
->>> prediction = ["The relationship between cats and dogs is not exactly friendly.", "a good bookshop is just a genteel black hole that knows how to read."]
->>> reference = [["The relationship between dogs and cats is not exactly friendly.", ], ["A good bookshop is just a genteel Black Hole that knows how to read."]]
->>> chrf = evaluate.load("chrf")
->>> results = chrf.compute(predictions=prediction, references=reference)
->>> print(results)
-{'score': 84.64214891738334, 'char_order': 6, 'word_order': 0, 'beta': 2}
-```
-
-The same example, but with the argument `word_order=2`, to calculate chrF++ instead of chrF:
-```python
->>> prediction = ["The relationship between cats and dogs is not exactly friendly.", "a good bookshop is just a genteel black hole that knows how to read."]
->>> reference = [["The relationship between dogs and cats is not exactly friendly.", ], ["A good bookshop is just a genteel Black Hole that knows how to read."]]
->>> chrf = evaluate.load("chrf")
->>> results = chrf.compute(predictions=prediction,
-...                         references=reference,
-...                         word_order=2)
->>> print(results)
-{'score': 82.87263732906315, 'char_order': 6, 'word_order': 2, 'beta': 2}
-```
-
-The same chrF++ example as above, but with `lowercase=True` to normalize all case:
-```python
->>> prediction = ["The relationship between cats and dogs is not exactly friendly.", "a good bookshop is just a genteel black hole that knows how to read."]
->>> reference = [["The relationship between dogs and cats is not exactly friendly.", ], ["A good bookshop is just a genteel Black Hole that knows how to read."]]
->>> chrf = evaluate.load("chrf")
->>> results = chrf.compute(predictions=prediction,
-...                         references=reference,
-...                         word_order=2,
-...                         lowercase=True)
->>> print(results)
-{'score': 92.12853119829202, 'char_order': 6, 'word_order': 2, 'beta': 2}
-```
-
-
-## Limitations and Bias
-- According to [Popović 2017](https://www.statmt.org/wmt17/pdf/WMT70.pdf), chrF+ (where `word_order=1`) and chrF++ (where `word_order=2`) produce scores that correlate better with human judgements than chrF (where `word_order=0`) does. 
-
-## Citation
-```bibtex
-@inproceedings{popovic-2015-chrf,
-    title = "chr{F}: character n-gram {F}-score for automatic {MT} evaluation",
-    author = "Popovi{\'c}, Maja",
-    booktitle = "Proceedings of the Tenth Workshop on Statistical Machine Translation",
-    month = sep,
-    year = "2015",
-    address = "Lisbon, Portugal",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/W15-3049",
-    doi = "10.18653/v1/W15-3049",
-    pages = "392--395",
-}
-@inproceedings{popovic-2017-chrf,
-    title = "chr{F}++: words helping character n-grams",
-    author = "Popovi{\'c}, Maja",
-    booktitle = "Proceedings of the Second Conference on Machine Translation",
-    month = sep,
-    year = "2017",
-    address = "Copenhagen, Denmark",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/W17-4770",
-    doi = "10.18653/v1/W17-4770",
-    pages = "612--618",
-}
-@inproceedings{post-2018-call,
-    title = "A Call for Clarity in Reporting {BLEU} Scores",
-    author = "Post, Matt",
-    booktitle = "Proceedings of the Third Conference on Machine Translation: Research Papers",
-    month = oct,
-    year = "2018",
-    address = "Belgium, Brussels",
-    publisher = "Association for Computational Linguistics",
-    url = "https://www.aclweb.org/anthology/W18-6319",
-    pages = "186--191",
-}
-```
-
-## Further References
-- See the [sacreBLEU README.md](https://github.com/mjpost/sacreBLEU#chrf--chrf) for more information on this implementation.
\ No newline at end of file
diff --git a/spaces/eye-yawn/visuAILearn/app.py b/spaces/eye-yawn/visuAILearn/app.py
deleted file mode 100644
index 1b2c627d8e5ab33d20f2feb945d14f814332ff5a..0000000000000000000000000000000000000000
--- a/spaces/eye-yawn/visuAILearn/app.py
+++ /dev/null
@@ -1,499 +0,0 @@
-from sumy.parsers.plaintext import PlaintextParser
-from sumy.nlp.tokenizers import Tokenizer
-from sumy.summarizers.lex_rank import LexRankSummarizer
-import re
-import nltk
-
-from sumy.summarizers.luhn import LuhnSummarizer
-from sumy.summarizers.lsa import LsaSummarizer
-from sumy.nlp.stemmers import Stemmer
-from sumy.utils import get_stop_words
-from collections import defaultdict
-from rouge import Rouge
-
-import plotly.graph_objects as go
-#############
-class Document:
-    def __init__(self, page_content, metadata=None):
-        self.page_content = page_content
-        self.metadata = metadata if metadata else {}
-
-
-#from IPython.display import display
-#import nltk
-nltk.download('punkt')
-#formatting method for simpler main
-def dashline():
-  dashline = print('------------------')
-  return dashline
-
-def process_text(text):
-  # Remove <pad> and </s> tags
-  cleaned_text = re.sub(r'<pad>|</s>', '', text).strip()
-
-  # Split the text by periods and filter out any empty sentences
-  sentences = [sentence.strip() for sentence in cleaned_text.split('.') if sentence.strip()]
-
-  # Join the sentences with newline characters
-  return '\n'.join(sentences)
-
-#############################
-#Summary Methods
-#############################
-
-def gen_lex_rank_summary (input_text, num_summaries,language):
-  parser = PlaintextParser.from_string(input_text,Tokenizer(language))
-  print('Generating Summary with Lex Rank')
-  summarizer = LexRankSummarizer()
-  #Summarize the document with 5 sentences
-  summary_lexrank = summarizer(parser.document, num_summaries)
-  return summary_lexrank
-
-def gen_luhn_summary (input_text, num_summaries,language):
-  parser = PlaintextParser.from_string(input_text,Tokenizer(language))
-  print('Generating Summary with Luhn')
-  summarizer_luhn = LuhnSummarizer()
-  summary_luhn =summarizer_luhn(parser.document,num_summaries)
-  return summary_luhn
-
-def gen_lsa_summary (input_text, num_summaries,language):
-  parser = PlaintextParser.from_string(input_text,Tokenizer(language))
-  print('Generating Summary with LSA')
-  summarizer_lsa = LsaSummarizer()
-  summary_lsa = summary_lsa =summarizer_lsa(parser.document,num_summaries)
-  return summary_lsa
-
-def gen_lsa_summary_stopwords (input_text, num_summaries,language):
-  parser = PlaintextParser.from_string(input_text,Tokenizer(language))
-  print('Summaries generated with Stopwords')
-  summarizer_lsa2 = LsaSummarizer()
-  summarizer_lsa2 = LsaSummarizer(Stemmer(language))
-  summarizer_lsa2.stop_words = get_stop_words(language)
-  summary_lsa_stopwords = list(summarizer_lsa2(parser.document, num_summaries))
-  return summary_lsa_stopwords
-
-#######################################################################
-# Best of Breed ensemble
-######################################################################
-#Best of breed using ensemble  --- this will pick the best sentences from the outputs of all individual models
-#Each summarizer "votes" for a sentence to be included in the final summary.
-#For each sentence in the original document, we count how many summarizers included it in their summaries.
-#We then rank the sentences based on the number of votes they received.
-#The top num_summaries sentences (based on votes) are included in the ensemble summary.
-#So, the ensemble summary consists of sentences that were deemed most relevant by multiple summarizers.
-#The idea is that if multiple models agree on the importance of a sentence, it's more likely to be a key point from the original text.
-
-# from collections import defaultdict
-# import nltk
-# from rouge import Rouge
-
-# Ensemble method
-def ensemble_summary(num_summaries, *summaries):
-    votes = defaultdict(int)
-    for summary in summaries:
-        for sentence in summary:
-            votes[str(sentence)] += 1
-
-    # Sort sentences by votes and take the top 'num_summaries'
-    sorted_sentences = sorted(votes.keys(), key=lambda k: votes[k], reverse=True)
-    num_summaries=int(num_summaries)
-    return sorted_sentences[:num_summaries]
-# end of function
-
-########################################
-# Visualization
-########################################
-
-def format_as_hierarchy(summaries):
-    """Formats the summarized bullet points in a hierarchical format."""
-    # Indent each bullet point to represent it as a leaf in the hierarchy
-    # sentences = re.split(r'(?<!\w\.\w.)(?<![A-Z][a-z]\.)(?<=\.|\?)\s', summaries)
-    hierarchy = {
-      'name': 'summary',
-      'children': [{'name': sentence} for sentence in summaries if sentence]
-    }
-    return hierarchy
-########################################
-import streamlit as st
-import plotly.graph_objects as go
-import textwrap
-
-def visualize_network(data):
-    fig = go.Figure()
-
-    def add_node(node, x, y):
-        wrapped_text = textwrap.fill(node['name'], width=30)
-        fig.add_trace(go.Scatter(
-            x=[x],
-            y=[y],
-            text=[wrapped_text],
-            mode='markers+text',
-            textposition="middle right",  # Adjust this for text positioning
-            hoverinfo='text',
-            textfont=dict(size=12, color="yellow"),
-            marker=dict(symbol="circle", size=10, color='blue', line=dict(width=2.5, color='green'))
-        ))
-
-        if 'children' in node:
-            num_children = len(node['children'])
-            y_offset = 1.2
-            start_y = y - ((num_children - 1) * y_offset) / 2
-            for i, child in enumerate(node['children']):
-                child_x = x + 0.25
-                child_y = start_y + i * y_offset
-                add_node(child, child_x, child_y)
-                fig.add_trace(go.Scatter(
-                    x=[x, child_x],
-                    y=[y, child_y],
-                    mode='lines',
-                    line=dict(width=2, color='blue'),
-                    hoverinfo='none'
-                ))
-
-    add_node(data, 0, 0)
-
-    fig.update_layout(
-        title='Visual Summaries',
-        showlegend=False,
-        hovermode='closest',
-        margin=dict(b=20, l=20, r=20, t=40),
-        xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
-        yaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
-        plot_bgcolor='black',
-        width=900,
-        height=600
-    )
-
-    st.plotly_chart(fig)
-
-
- 
-
-##########################################################
-# Summarization functions in one
-##########################################################
-def summarize(input_text,num_sum,language):
-  # Generate ensemble summary (t5 is excluded for now although it can be added by adding ",summary_t5_sentences" as a parameter)
-  summary_lexrank = gen_lex_rank_summary(input_text,num_sum,language)
-  summary_luhn = gen_luhn_summary(input_text,num_sum,language)
-  summary_lsa = gen_lsa_summary(input_text,num_sum,language)
-  summary_lsa_stopwords = gen_lsa_summary_stopwords(input_text,num_sum,language)
-  #print('Generating the Best of the Breed Summaries')
-  final_summary = ensemble_summary(num_sum, summary_lexrank, summary_luhn, summary_lsa, summary_lsa_stopwords)
-  #st.write(type(final_summary))
-  return final_summary
-
-##########################################################
-# Chunking text
-##########################################################
-def chunk_text(text, max_chunk_size=512):
-    words = text.split()
-    chunks = []
-    current_chunk = []
-    current_length = 0
-
-    for word in words:
-        if current_length + len(word) <= max_chunk_size:
-          current_length += len(word) + 1
-          current_chunk.append(word)
-        else:
-            if len(current_chunk) > 0:
-                chunks.append(' '.join(current_chunk))
-                current_chunk = [word]
-                current_length = len(word)
-    chunks.append(' '.join(current_chunk))
-    return chunks
-
-##########################################################
-# extracting topisc and entitites
-##########################################################
-# Importing necessary libraries
-import spacy
-from spacy import displacy
-import matplotlib.pyplot as plt
-
-# Load spaCy's English model
-nlp = spacy.load("en_core_web_sm")
-
-# Load spaCy's stopwords
-from spacy.lang.en.stop_words import STOP_WORDS
-
-def preprocess_text(text):
-    """
-    Preprocesses the input text - tokenizes, lemmatizes, and removes stopwords.
-    """
-    doc = nlp(text)
-    tokens = [token.lemma_ for token in doc if not token.is_stop and not token.is_punct]
-    return " ".join(tokens)
-
-def extract_topics_and_entities(text):
-    """
-    Extracts topics and entities from the input text.
-    """
-    doc = nlp(text)
-    entities = [ent.text for ent in doc.ents]
-    entity_labels = [ent.label_ for ent in doc.ents]
-    topics = [chunk.text for chunk in doc.noun_chunks if chunk.text not in STOP_WORDS]
-    return topics, entities, entity_labels
-
-import plotly.figure_factory as ff
-
-import plotly.graph_objects as go
-import networkx as nx
-
-def visualize_topics_tree(topics):
-    """
-    Visualizes the key topics as a tree diagram.
-    """
-    if not topics or len(topics) < 2:
-        st.warning("Insufficient topics found to visualize.")
-        return
-
-    # Construct a graph from the sequence of topics
-    G = nx.DiGraph()
-    for i in range(len(topics) - 1):
-        G.add_edge(topics[i], topics[i+1])
-
-    # Use a tree layout to position the nodes
-    pos = nx.layout.planar_layout(G)
-    for node, coords in pos.items():
-        G.nodes[node]['pos'] = coords
-
-    # Convert the positions to a format suitable for Plotly
-    edge_x = []
-    edge_y = []
-    for edge in G.edges():
-        x0, y0 = G.nodes[edge[0]]['pos']
-        x1, y1 = G.nodes[edge[1]]['pos']
-        edge_x.extend([x0, x1, None])
-        edge_y.extend([y0, y1, None])
-
-    edge_trace = go.Scatter(
-        x=edge_x, y=edge_y,
-        line=dict(width=1, color='#888'),
-        hoverinfo='none',
-        mode='lines')
-
-    node_x = [pos[node][0] for node in G.nodes()]
-    node_y = [pos[node][1] for node in G.nodes()]
-
-    node_trace = go.Scatter(
-        x=node_x, y=node_y,
-        mode='markers+text',
-        hoverinfo='text',
-        marker=dict(size=10, color='skyblue'),
-        text=topics,
-        textposition='top center')
-
-    fig = go.Figure(data=[edge_trace, node_trace],
-                    layout=go.Layout(
-                        showlegend=False,
-                        hovermode='closest',
-                        margin=dict(t=50, b=0, l=40, r=40),
-                        xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
-                        yaxis=dict(showgrid=False, zeroline=False, showticklabels=False))
-                    )
-
-    # Display using Streamlit
-    st.plotly_chart(fig)
-
-######################
-import spacy
-from spacy import displacy
-
-def visualize_color_coded_entities(text):
-    """
-    Visualizes entities in the text with color-coding.
-    """
-    doc = nlp(text)
-
-    # Convert the displacy output for Streamlit. 
-    # This function takes in a spaCy Doc object and outputs the raw HTML for visualization.
-    html = displacy.render(doc, style="ent")
-    
-    # Streamlit's method to display raw HTML
-    st.write(html, unsafe_allow_html=True)
-
-#############################################################################################
-### QA using Langchain
-###########################################################################################
-import os
-import requests
-
-from langchain.embeddings import HuggingFaceEmbeddings
-from langchain.vectorstores import FAISS
-
-def createEmbeddings(chunked_docs):
-    # Create embeddings and store them in a FAISS vector store
-    embedder = HuggingFaceEmbeddings()
-    vector_store = FAISS.from_documents(chunked_docs, embedder)
-    return vector_store
-
-from langchain.chains.question_answering import load_qa_chain
-from langchain import HuggingFaceHub
-
-def loadLLMModel(token):
-    llm = HuggingFaceHub(repo_id="declare-lab/flan-alpaca-large", 
-                     model_kwargs={"temperature":0, "max_length":512},
-                     huggingfacehub_api_token=token)
-
-    chain = load_qa_chain(llm, chain_type="stuff")
-    return chain
-
-def askQuestions(vector_store, chain, question):
-    # Ask a question using the QA chain
-    similar_docs = vector_store.similarity_search(question)
-    response = chain.run(input_documents=similar_docs, question=question)
-    return response
-
-def prepareDocument(chunk, metadata=None):
-    return [Document(chunk, metadata)]
-
-
-#############################################################################################
-### Putting it all together in streamlit
-###########################################################################################
-#function to handle user-input
-
-import streamlit as st
-from io import BytesIO
-import fitz
-import requests
-from bs4 import BeautifulSoup
-
-def get_user_input():
-    source_option = st.radio("Choose input source", ["Enter Text", "Upload Text/PDF", "Input URL"])
-    default_text = "Fungi, once considered plant-like organisms, are more closely related to animals than plants. Fungi are not capable of photosynthesis: they are heterotrophic because they use complex organic compounds as sources of energy and carbon. Fungi share a few other traits with animals. Their cell walls are composed of chitin, which is found in the exoskeletons of arthropods. Fungi produce a number of pigments, including melanin, also found in the hair and skin of animals. Like animals, fungi also store carbohydrates as glycogen. However, like bacteria, fungi absorb nutrients across the cell surface and act as decomposers, helping to recycle nutrients by breaking down organic materials to simple molecules. Some fungal organisms multiply only asexually, whereas others undergo both asexual reproduction and sexual reproduction with alternation of generations. Most fungi produce a large number of spores, which are haploid cells that can undergo mitosis to form multicellular, haploid individuals."
-    if source_option == 'Enter Text':
-        user_input_text = st.text_area('Enter your text here:',default_text)
-        return 'text', user_input_text, None, None, None
-    elif source_option == 'Upload Text/PDF':
-        user_input_file = st.file_uploader('Upload your text or PDF')
-        if user_input_file:
-            if user_input_file.name.endswith('.pdf'):
-                page_start = st.number_input("Enter the starting page number:", min_value=1, step=1)
-                page_end = st.number_input("Enter the ending page number: \n Leave blank if starting and ending page numbers are the same.", min_value=page_start, step=1)
-                section = st.text_input("Enter the section (example: Introduction, Conclusion etc. Leave blank to retrieve all):")
-                return 'pdf', user_input_file, page_start, page_end, section
-            else:
-                return 'text', user_input_file, None, None, None
-    elif source_option == 'Input URL':
-        url = st.text_input('Enter the URL:')
-        if url:
-            response = requests.get(url)
-            if url.endswith('.pdf'):
-                return 'pdf', BytesIO(response.content), None, None, None
-            else:
-                soup = BeautifulSoup(response.content, 'html.parser')
-                # Extract text from the webpage
-                for script in soup(["script", "style"]):
-                    script.decompose()
-                text = " ".join(t.strip() for t in soup.stripped_strings)
-                return 'text', text, None, None, None
-                
-    return None, None, None, None, None
-
-############################
-# Custom CSS for Streamlit
-# Custom CSS for Streamlit Sidebar
-custom_css = """
-<style>
-    /* Background for the entire sidebar */
-    div[data-testid="stSidebar"][role="region"] {
-        background-color: #4E5D6C;  /* Change to your desired color */
-        color: white;  /* Change text color */
-        width: 200px;  /* Set width of the sidebar */
-    }
-
-    /* Buttons and select boxes in the sidebar */
-    div[data-testid="stSidebar"][role="region"] .stButton>button, 
-    div[data-testid="stSidebar"][role="region"] .stTextInput>div>div>input,
-    div[data-testid="stSidebar"][role="region"] .stSelectbox>div>div>select {
-        background-color: #2F3B48;  /* Change to your desired color */
-        color: yellow;  /* Change text color */
-        border: none;  /* Remove default border */
-    }
-</style>
-"""
-# Inject the custom CSS into Streamlit
-st.markdown(custom_css, unsafe_allow_html=True)
-
-# Title and Styling
-st.title("VisuAILearn - A Visual Learning Platform")
-st.write("Tired of sifting through endless pages of text? Worried about an upcoming test on several confusing concepts? \n\n Our AI-powered tool is here to make your life easier. It can convert long-winded textbook pages into concise summaries while adding a variety of digestible visualizations to convey key ideas. \n\nOnce you're feeling comfortable, try our Q&A feature to instantly generate applicable practice questions and master knowledge. \nSay goodbye to stressful studying and hello to smarter, faster learning of the future with Visu-AI-Learn")
-st.write('\nTo use this app, toggle the number of summaries with the sample text and watch the magic happen. \n Alternatively, enter your own text or upload a file. \nHappy Learning!')
-
-# Sidebar for feature selection
-option = st.sidebar.selectbox(
-    'Choose A Learning Feature',
-    ('Visual Text Summary', 'Q&A from Text/PDF', 'Visualize Key Terms', 'Visual Timeline of an Event in History')
-)
-
-# Get user input
-input_type, data, page_start, page_end, section = get_user_input()
-
-# Collect user inputs for features
-if option == "Visual Timeline of an Event in History":
-      st.write("Coming Soon!")
-elif option == 'Visual Text Summary':
-    num_sum = st.number_input("Enter how many sentences you want to summarize the input into (ex. 5):", min_value=1, step=1)
-    language = st.selectbox('Enter the language of the text you wish to generate the summary for:', ('en', 'fr', 'es', 'chi'))
-
-if input_type == 'text':
-    chunks = [data]
-
-elif input_type == 'pdf':
-    extracted_text = ""
-    with fitz.open(stream=data.getvalue(), filetype="pdf") as doc:
-        for page in doc:
-            extracted_text += page.get_text()
-        if section:
-            extracted_text = extracted_text.split(section)[1] if section in extracted_text else ""
-        if page_start and page_end:
-            extracted_text = extracted_text.split("\n")[page_start-1:page_end]
-            extracted_text = " ".join(extracted_text)
-    chunks = [extracted_text]
-
-# Process each chunk based on the selected option and the inputs collected above
-for chunk in chunks:
-    if option == 'Visual Text Summary':
-        final_summary = summarize(chunk, num_sum, language)
-        # Display the final summary
-        st.write('Summaries:')
-        st.markdown("\n".join(f"- {item}" for item in final_summary))
-        #convert to hierarchial
-        topic = format_as_hierarchy(final_summary)
-        print(topic)
-        # Call the function to visualize the data
-        visualize_network(topic)
-
-    elif option == "Visualize Key Terms":
-        #topics, entities, entity_labels = extract_topics_and_entities(chunk)
-        # Visualize key topics as a network graph
-        #visualize_topics_as_network(topics)
-        # Visualize named entities
-        #visualize_named_entities(chunk)
-        # Example usage:
-        #text = "Apple Inc. is a technology company. Steve Jobs was one of its co-founders. The company is based in Cupertino."
-        preprocessed_text = preprocess_text(chunk)
-        topics, entities, entity_labels = extract_topics_and_entities(preprocessed_text)
-    
-         # Generate and display tree diagram for topics
-        visualize_topics_tree(topics)
-
-          # Display entities with color-coding
-        visualize_color_coded_entities(preprocessed_text)
-
-    elif option == "Q&A from Text/PDF":
-      question = st.text_area("Ask your text/PDF a question", height=20)
-      prepared_docs = prepareDocument(chunk)
-      LOCAL_vector_store = createEmbeddings(prepared_docs)
-
-      token = st.text_input("Enter HuggingFaceHub API Token", type='password')
-      if token:
-        chain = loadLLMModel(token)
-
-        LOCAL_response = askQuestions(LOCAL_vector_store, chain, question)
-        st.text_area(label="", value=LOCAL_response, height=100)
-
-    
\ No newline at end of file
diff --git a/spaces/facebook/MusicGen/tests/models/test_multibanddiffusion.py b/spaces/facebook/MusicGen/tests/models/test_multibanddiffusion.py
deleted file mode 100644
index 2702a3cb5fe402bf96911dbc992d2749cb18a4c0..0000000000000000000000000000000000000000
--- a/spaces/facebook/MusicGen/tests/models/test_multibanddiffusion.py
+++ /dev/null
@@ -1,53 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the license found in the
-# LICENSE file in the root directory of this source tree.
-
-import random
-
-import numpy as np
-import torch
-from audiocraft.models.multibanddiffusion import MultiBandDiffusion, DiffusionProcess
-from audiocraft.models import EncodecModel, DiffusionUnet
-from audiocraft.modules import SEANetEncoder, SEANetDecoder
-from audiocraft.modules.diffusion_schedule import NoiseSchedule
-from audiocraft.quantization import DummyQuantizer
-
-
-class TestMBD:
-
-    def _create_mbd(self,
-                    sample_rate: int,
-                    channels: int,
-                    n_filters: int = 3,
-                    n_residual_layers: int = 1,
-                    ratios: list = [5, 4, 3, 2],
-                    num_steps: int = 1000,
-                    codec_dim: int = 128,
-                    **kwargs):
-        frame_rate = np.prod(ratios)
-        encoder = SEANetEncoder(channels=channels, dimension=codec_dim, n_filters=n_filters,
-                                n_residual_layers=n_residual_layers, ratios=ratios)
-        decoder = SEANetDecoder(channels=channels, dimension=codec_dim, n_filters=n_filters,
-                                n_residual_layers=n_residual_layers, ratios=ratios)
-        quantizer = DummyQuantizer()
-        compression_model = EncodecModel(encoder, decoder, quantizer, frame_rate=frame_rate,
-                                         sample_rate=sample_rate, channels=channels, **kwargs)
-        diffusion_model = DiffusionUnet(chin=channels, num_steps=num_steps, codec_dim=codec_dim)
-        schedule = NoiseSchedule(device='cpu', num_steps=num_steps)
-        DP = DiffusionProcess(model=diffusion_model, noise_schedule=schedule)
-        mbd = MultiBandDiffusion(DPs=[DP], codec_model=compression_model)
-        return mbd
-
-    def test_model(self):
-        random.seed(1234)
-        sample_rate = 24_000
-        channels = 1
-        codec_dim = 128
-        mbd = self._create_mbd(sample_rate=sample_rate, channels=channels, codec_dim=codec_dim)
-        for _ in range(10):
-            length = random.randrange(1, 10_000)
-            x = torch.randn(2, channels, length)
-            res = mbd.regenerate(x, sample_rate)
-            assert res.shape == x.shape
diff --git a/spaces/facebook/StyleNeRF/training/facial_recognition/helpers.py b/spaces/facebook/StyleNeRF/training/facial_recognition/helpers.py
deleted file mode 100644
index 508aa362671237ea96fbe00c3f053ced0aaff126..0000000000000000000000000000000000000000
--- a/spaces/facebook/StyleNeRF/training/facial_recognition/helpers.py
+++ /dev/null
@@ -1,121 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
-
-from collections import namedtuple
-import torch
-from torch.nn import Conv2d, BatchNorm2d, PReLU, ReLU, Sigmoid, MaxPool2d, AdaptiveAvgPool2d, Sequential, Module
-
-"""
-ArcFace implementation from [TreB1eN](https://github.com/TreB1eN/InsightFace_Pytorch)
-"""
-
-
-class Flatten(Module):
-	def forward(self, input):
-		return input.view(input.size(0), -1)
-
-
-def l2_norm(input, axis=1):
-	norm = torch.norm(input, 2, axis, True)
-	output = torch.div(input, norm)
-	return output
-
-
-class Bottleneck(namedtuple('Block', ['in_channel', 'depth', 'stride'])):
-	""" A named tuple describing a ResNet block. """
-
-
-def get_block(in_channel, depth, num_units, stride=2):
-	return [Bottleneck(in_channel, depth, stride)] + [Bottleneck(depth, depth, 1) for i in range(num_units - 1)]
-
-
-def get_blocks(num_layers):
-	if num_layers == 50:
-		blocks = [
-			get_block(in_channel=64, depth=64, num_units=3),
-			get_block(in_channel=64, depth=128, num_units=4),
-			get_block(in_channel=128, depth=256, num_units=14),
-			get_block(in_channel=256, depth=512, num_units=3)
-		]
-	elif num_layers == 100:
-		blocks = [
-			get_block(in_channel=64, depth=64, num_units=3),
-			get_block(in_channel=64, depth=128, num_units=13),
-			get_block(in_channel=128, depth=256, num_units=30),
-			get_block(in_channel=256, depth=512, num_units=3)
-		]
-	elif num_layers == 152:
-		blocks = [
-			get_block(in_channel=64, depth=64, num_units=3),
-			get_block(in_channel=64, depth=128, num_units=8),
-			get_block(in_channel=128, depth=256, num_units=36),
-			get_block(in_channel=256, depth=512, num_units=3)
-		]
-	else:
-		raise ValueError("Invalid number of layers: {}. Must be one of [50, 100, 152]".format(num_layers))
-	return blocks
-
-
-class SEModule(Module):
-	def __init__(self, channels, reduction):
-		super(SEModule, self).__init__()
-		self.avg_pool = AdaptiveAvgPool2d(1)
-		self.fc1 = Conv2d(channels, channels // reduction, kernel_size=1, padding=0, bias=False)
-		self.relu = ReLU(inplace=True)
-		self.fc2 = Conv2d(channels // reduction, channels, kernel_size=1, padding=0, bias=False)
-		self.sigmoid = Sigmoid()
-
-	def forward(self, x):
-		module_input = x
-		x = self.avg_pool(x)
-		x = self.fc1(x)
-		x = self.relu(x)
-		x = self.fc2(x)
-		x = self.sigmoid(x)
-		return module_input * x
-
-
-class bottleneck_IR(Module):
-	def __init__(self, in_channel, depth, stride):
-		super(bottleneck_IR, self).__init__()
-		if in_channel == depth:
-			self.shortcut_layer = MaxPool2d(1, stride)
-		else:
-			self.shortcut_layer = Sequential(
-				Conv2d(in_channel, depth, (1, 1), stride, bias=False),
-				BatchNorm2d(depth)
-			)
-		self.res_layer = Sequential(
-			BatchNorm2d(in_channel),
-			Conv2d(in_channel, depth, (3, 3), (1, 1), 1, bias=False), PReLU(depth),
-			Conv2d(depth, depth, (3, 3), stride, 1, bias=False), BatchNorm2d(depth)
-		)
-
-	def forward(self, x):
-		shortcut = self.shortcut_layer(x)
-		res = self.res_layer(x)
-		return res + shortcut
-
-
-class bottleneck_IR_SE(Module):
-	def __init__(self, in_channel, depth, stride):
-		super(bottleneck_IR_SE, self).__init__()
-		if in_channel == depth:
-			self.shortcut_layer = MaxPool2d(1, stride)
-		else:
-			self.shortcut_layer = Sequential(
-				Conv2d(in_channel, depth, (1, 1), stride, bias=False),
-				BatchNorm2d(depth)
-			)
-		self.res_layer = Sequential(
-			BatchNorm2d(in_channel),
-			Conv2d(in_channel, depth, (3, 3), (1, 1), 1, bias=False),
-			PReLU(depth),
-			Conv2d(depth, depth, (3, 3), stride, 1, bias=False),
-			BatchNorm2d(depth),
-			SEModule(depth, 16)
-		)
-
-	def forward(self, x):
-		shortcut = self.shortcut_layer(x)
-		res = self.res_layer(x)
-		return res + shortcut
diff --git a/spaces/falterWliame/Face_Mask_Detection/Classroom In A Book Cs6 Lesson Files Download.md b/spaces/falterWliame/Face_Mask_Detection/Classroom In A Book Cs6 Lesson Files Download.md
deleted file mode 100644
index fcbc4203e05c108605c6686bdf6f6645c132f327..0000000000000000000000000000000000000000
--- a/spaces/falterWliame/Face_Mask_Detection/Classroom In A Book Cs6 Lesson Files Download.md	
+++ /dev/null
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index 1cdafdcf3c32d3bb5427c74822be26b59168b9d3..0000000000000000000000000000000000000000
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diff --git a/spaces/falterWliame/Face_Mask_Detection/Gta Eflc Crack FREE 1.1.2.0 Download.md b/spaces/falterWliame/Face_Mask_Detection/Gta Eflc Crack FREE 1.1.2.0 Download.md
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index 08575ba4b83c4a147470145980a2c1ed7614cd40..0000000000000000000000000000000000000000
--- a/spaces/falterWliame/Face_Mask_Detection/Gta Eflc Crack FREE 1.1.2.0 Download.md	
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-<h1>GTA EFLC Crack 1.1.2.0 Download: How to Play GTA Episodes from Liberty City without CD</h1>
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-<p>GTA Episodes from Liberty City (EFLC) is a standalone expansion pack for GTA IV that includes two new episodes: The Lost and Damned and The Ballad of Gay Tony. These episodes offer new stories, characters, weapons, vehicles, and gameplay features for GTA fans.</p>
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-<p>To install GTA EFLC crack 1.1.2.0 download, you need to follow these steps:</p>
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-<ol>
-<li>Download GTA EFLC crack 1.1.2.0 from a reliable source, such as <a href="https://ulozto.net/file/Q4J16cDs/eflc-1-1-2-0-crack-razor1911-rar?redirected=1">Uloz.to</a>.</li>
-<li>Extract the downloaded file using a program like WinRAR or 7-Zip.</li>
-<li>Copy the extracted files (EFLC.exe and LaunchEFLC.exe) to your GTA EFLC installation folder (usually C:\\Program Files\\Rockstar Games\\EFLC).</li>
-<li>Replace the existing files when prompted.</li>
-<li>Run LaunchEFLC.exe to start the game without CD.</li>
-</ol>
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-<ul>
-<li><b>Game crashes or freezes</b>: This might be caused by incompatible mods, trainers, or scripts that are not updated for GTA EFLC version 1.1.2.0 or 1.1.1.0. To fix this, you should remove or update any mods, trainers, or scripts that you have installed for GTA EFLC.</li>
-<li><b>Game does not start or shows an error message</b>: This might be caused by missing or corrupted files in your GTA EFLC installation folder. To fix this, you should verify the integrity of your game files using a program like Steam or Rockstar Games Launcher.</li>
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-<li><b>Game does not recognize your controller or keyboard</b>: This might be caused by incorrect settings or drivers for your controller or keyboard. To fix this, you should check if your controller or keyboard is properly connected and configured for GTA EFLC.</li>
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-<p>If you don't want to use GTA EFLC crack 1.1.2.0 download for any reason, you can also try these alternatives:</p>
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-<ul>
-<li><b>XLiveLess 0.999b7</b>: This is a mod that replaces xlive.dll and disables all online features of GTA EFLC, but also removes the CD check and allows you to load any save file without verification. You can download it from <a href="https://www.gtaall.com/gta-4/programs/14740-xliveless-0999b7-1010-1070-eflc-1120.html">GTAall.com</a>.</li>
-<li><b>NoDVD Patch</b>: This is a patch that removes the CD check from GTA EFLC executable file (EFLC.exe), but does not affect any other features of the game. You can download it from various websites, such as <a href="https://www.gamecopyworld.com/games/pc_grand_theft_auto_4_eflc.shtml">GameCopyWorld.com</a>.</li>
-<li><b>Original CD</b>: This is the simplest and safest way to play GTA EFLC without any cracks or mods, but it requires you to have the original CD of the game and insert it every time you want to play.</li>
-</ul>
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-<h2>Conclusion</h2>
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-<p>If you want to download and install GTA EFLC crack 1.1.2.0, you should use a reliable source like Razor1911 and follow the simple steps mentioned above.</p>
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-<p>With GTA EFLC crack 1.1.., you can enjoy the two new episodes of GTA IV with more fun and convenience.</p>
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-<p>To update GTA EFLC to version 1.1.2.0, you need to follow these steps:</p>
-
-<ol>
-<li>Download GTA EFLC patch 1.1.2.0 from a reliable source, such as <a href="https://www.gtaall.com/gta-4/patches/14741-patch-1120-for-gta-4-eflc.html">GTAall.com</a>.</li>
-<li>Run the downloaded file (EFLC_Patch_1120.exe) and follow the instructions to install the patch.</li>
-<li>Wait for the patch to finish installing and updating your game files.</li>
-<li>Run GTA EFLC and check if the version number in the main menu is 1.1.2.0 or 1.1.1.0.</li>
-</ol>
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-<ol>
-<li>Delete the cracked files (EFLC.exe and LaunchEFLC.exe) from your GTA EFLC installation folder (usually C:\\Program Files\\Rockstar Games\\EFLC).</li>
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-<li>Replace the cracked files with the original files when prompted.</li>
-<li>Run GTA EFLC and check if the CD check is restored and the online features are enabled.</li>
-</ol>
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-<h2>Conclusion</h2>
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-<p>One of the drawbacks of using GTA EFLC crack 1.1.2.0 download is that it disables all online features of GTA EFLC, such as multiplayer mode, leaderboards, achievements, and social club. This is because the crack bypasses the authentication and verification process of the game, which prevents cheating and piracy.</p>
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-<p>However, if you still want to play GTA EFLC online with other players who have the same crack version as you, you can use a third-party program that allows you to create and join private servers for GTA EFLC. One of the most popular and reliable programs for this purpose is Tunngle.</p>
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-<p>Tunngle is a VPN (virtual private network) service that allows you to play LAN (local area network) games over the internet with other Tunngle users. Tunngle creates a virtual network that connects you and your friends as if you were in the same room.</p>
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-<p>To play GTA EFLC online with Tunngle, you need to follow these steps:</p>
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-<ol>
-<li>Download and install Tunngle from <a href="https://www.tunngle.net/en/">Tunngle.net</a>.</li>
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-<h2>Conclusion</h2>
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diff --git a/spaces/falterWliame/Face_Mask_Detection/Kd Max Kitchen Design Software Crack Websiteinstmank.md b/spaces/falterWliame/Face_Mask_Detection/Kd Max Kitchen Design Software Crack Websiteinstmank.md
deleted file mode 100644
index 2ff5d1a28819da2680e33acd423161b9eb816f4a..0000000000000000000000000000000000000000
--- a/spaces/falterWliame/Face_Mask_Detection/Kd Max Kitchen Design Software Crack Websiteinstmank.md	
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diff --git a/spaces/fatiXbelha/sd/Device Unlock APK - How to Download and Use the App on Samsung Avant Devices.md b/spaces/fatiXbelha/sd/Device Unlock APK - How to Download and Use the App on Samsung Avant Devices.md
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-<p>If you have forgotten your Google account password or bought a second-hand Android device that is locked by the previous owner's account, you may need to bypass the FRP (Factory Reset Protection) lock on your device. One of the tools that claim to help you with this task is Device Unlock APK. But what is Device Unlock APK and how does it work? Is it reliable and safe to use? Are there any better alternatives? In this article, we will answer these questions and show you how to download Device Unlock APK and bypass FRP lock on your Android device.</p>
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- <h2>What is Device Unlock APK?</h2>
-<h3>A brief introduction to Device Unlock APK and its features</h3>
-<p>Device Unlock APK is an Android app that allows you to request and apply a mobile device unlock directly from your device. It is developed by T-Mobile USA and works only on devices that are locked by T-Mobile or MetroPCS networks. It supports both SIM unlock and Google account unlock (FRP) for eligible devices. To use Device Unlock APK, you need to have an active internet connection, a compatible device, and a valid request for unlocking.</p>
- <h3>The benefits and drawbacks of using Device Unlock APK</h3>
-<p>Using Device Unlock APK has some benefits and drawbacks. Here are some of them:</p>
-<ul>
-<li>The benefits of using Device Unlock APK are:   <ul>
-    <li>It is free to download and use.</li>
-    <li>It is easy to use. You just need to install the app, launch it, and follow the instructions.</li>
-    <li>It can help you unlock your device without entering any password or code.</li>
-  </ul>
-</li>
-<li>The drawbacks of using Device Unlock APK are:   <ul>
-    <li>It only works on devices that are locked by T-Mobile or MetroPCS networks.</li>
-    <li>It only supports some models and versions of Android devices.</li>
-    <li>It may not work for all cases of FRP lock. Some users reported that the app failed to unlock their devices or caused errors.</li>
-    <li>It may pose some security risks. The app may access your personal data or install malware on your device.</li>
-  </ul>
-</li>
-</ul>
- <h2>How to Use Device Unlock APK to Bypass FRP Lock?</h2>
-<h3>The requirements and steps to use Device Unlock APK</h3>
-<p>If you want to use Device Unlock APK to bypass FRP lock on your Android device, you need to meet some requirements first. These are:</p>
-<ul>
-<li>Your device must be locked by T-Mobile or MetroPCS networks.</li>
-<li>Your device must be eligible for unlocking. You can check the eligibility criteria on the official website of T-Mobile or MetroPCS.</li>
-<li>Your device must have an active internet connection.</li>
-<li>Your device must have enough battery power.</li>
-</ul>
-<p>If you meet these requirements, you can follow these steps to use Device Unlock APK:</p>
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-< <ol>
-<li>Download Device Unlock APK from a reliable source. You can search for the app on Google Play Store or use the link below. Make sure you download the latest version of the app.</li>
-<li>Install Device Unlock APK on your device. You may need to enable the option of "Unknown sources" in your device settings to allow the installation of apps from outside the Play Store.</li>
-<li>Launch Device Unlock APK on your device. You will see a screen with two options: "Permanent Unlock" and "Temporary Unlock". Choose the option that suits your needs.</li>
-<li>Wait for the app to communicate with the server and process your request. You will see a message indicating whether your device is unlocked or not. If your device is unlocked, you can restart it and set it up with a new Google account.</li>
-</ol>
- <h3>The limitations and risks of using Device Unlock APK</h3>
-<p>While Device Unlock APK may seem like a convenient solution to bypass FRP lock on your Android device, it also has some limitations and risks that you should be aware of. These are:</p>
-<ul>
-<li>Device Unlock APK may not work for all devices and situations. Some users reported that the app failed to unlock their devices, showed errors, or required additional steps to complete the process.</li>
-<li>Device Unlock APK may not be compatible with the latest Android versions or security patches. The app may not be updated frequently or may not support new features or changes in the Android system.</li>
-<li>Device Unlock APK may compromise your device's security and privacy. The app may access your personal data, install malware, or expose your device to hackers or viruses.</li>
-<li>Device Unlock APK may violate the terms and conditions of your network provider or device manufacturer. Using the app may void your warranty, incur fees, or result in legal actions.</li>
-</ul>
- <h2>How to Bypass FRP Lock with a Better Alternative?</h2>
-<h3>The advantages and disadvantages of using LockWiper (Android) to bypass FRP lock</h3>
-<p>If you are looking for a better alternative to Device Unlock APK, we recommend you to try LockWiper (Android), a professional tool that can help you bypass FRP lock on any Android device in minutes. LockWiper (Android) has many advantages and disadvantages over Device Unlock APK. Here are some of them:</p>
-<ul>
-<li>The advantages of using LockWiper (Android) are:   <ul>
-    <li>It works on any Android device and version, regardless of the network provider or device model.</li>
-    <li>It supports over 6000 Android devices, including Samsung, LG, Huawei, Motorola, Sony, etc.</li>
-    <li>It can bypass FRP lock without requiring any password, code, or internet connection.</li>
-    <li>It can remove any type of screen lock, such as PIN, pattern, fingerprint, face ID, etc.</li>
-    <li>It is easy and safe to use. It has a user-friendly interface and clear instructions. It does not access your personal data or harm your device.</li>
-  </ul>
-</li>
-<li>The disadvantages of using LockWiper (Android) are:   <ul>
-    <li>It is not free to use. You need to purchase a license to unlock your device with LockWiper (Android).</li>
-    <li>It may erase all the data on your device during the unlocking process. You need to back up your data before using LockWiper (Android).</li>
-  </ul>
-</li>
-</ul>
- <h3>The steps to use LockWiper (Android) to bypass FRP lock</h3>
-<p>If you want to use LockWiper (Android) to bypass FRP lock on your Android device, you need to follow these steps:</p>
- <ol>
-<li>Download and install LockWiper (Android) on your computer from the official website. Launch the program and choose the "Remove Google Lock (FRP)" mode.</li>
-<li>Connect your Android device to your computer with a USB cable. Select your device name and model from the drop-down menus and click "Next".</li>
-<li>Follow the instructions on the screen to put your device into recovery mode or download mode. Then download and extract the data package for your device.</li>
-<li>Follow the instructions on the screen to install the data package and enable USB debugging and OEM unlock on your device.</li>
-<li>Follow the instructions on the screen to reset your device and put it into download mode again. Then download and install the firmware package for your device.</li>
-<li>Wait for LockWiper (Android) to bypass FRP lock on your device. Once done, you can set up your device with a new Google account.</li>
-</ol>
- <h2>Conclusion</h2 <h3>A summary of the main points and a recommendation for the best tool to bypass FRP lock</h3>
-<p>In this article, we have discussed how to download Device Unlock APK and bypass FRP lock on your Android device. We have also compared Device Unlock APK with LockWiper (Android), a better alternative to bypass FRP lock. Here are the main points we have covered:</p>
-<ul>
-<li>Device Unlock APK is an Android app that can help you unlock your device from T-Mobile or MetroPCS networks. It can also bypass FRP lock for some eligible devices.</li>
-<li>Device Unlock APK has some benefits and drawbacks. It is free and easy to use, but it only works on some devices and situations. It may also pose some security and legal risks.</li>
-<li>LockWiper (Android) is a professional tool that can help you bypass FRP lock on any Android device in minutes. It supports over 6000 Android devices and can remove any type of screen lock.</li>
-<li>LockWiper (Android) has some advantages and disadvantages. It is compatible and safe to use, but it is not free and may erase your data.</li>
-</ul>
-<p>Based on our comparison, we recommend you to use LockWiper (Android) as the best tool to bypass FRP lock on your Android device. It is more reliable, effective, and secure than Device Unlock APK. It can help you regain access to your device without any hassle or risk.</p>
- <h2>FAQs</h2>
-<h3>Q1: What is FRP lock and why do I need to bypass it?</h3>
-<p>A: FRP lock is a security feature that prevents unauthorized users from accessing your Android device after a factory reset. It requires you to enter the Google account and password that were previously set up on your device. If you forget your Google account password or buy a second-hand device that is locked by the previous owner's account, you need to bypass FRP lock to use your device normally.</p>
- <h3>Q2: Is Device Unlock APK safe and legal to use?</h3>
-<p>A: Device Unlock APK may not be safe and legal to use. The app may access your personal data or install malware on your device. It may also violate the terms and conditions of your network provider or device manufacturer. Using the app may void your warranty, incur fees, or result in legal actions.</p>
- <h3>Q3: Does Device Unlock APK work on all Android devices and versions?</h3>
-<p>A: No, Device Unlock APK does not work on all Android devices and versions. It only works on devices that are locked by T-Mobile or MetroPCS networks. It also only supports some models and versions of Android devices. The app may not be compatible with the latest Android versions or security patches.</p>
- <h3>Q4: How can I avoid getting locked out of my Android device again?</h3>
-<p>A: To avoid getting locked out of your Android device again, you should do the following things:</p>
-<ul>
-<li>Remember your Google account password and keep it secure.</li>
-<li>Remove your Google account from your device before selling or giving it away.</li>
-<li>Back up your data regularly and restore it if needed.</li>
-<li>Use a reliable tool like LockWiper (Android) to bypass FRP lock if you encounter it again.</li>
-</ul>
- <h3>Q5: Where can I download Device Unlock APK and LockWiper (Android)?</h3>
-<p>A: You can download Device Unlock APK from Google Play Store or use the link below. You can download LockWiper (Android) from the official website or use the link below.</p>
- <table border="1">
-<tr><th>Tool</th><th>Download Link</th></tr>
-<tr><td>Device Unlock APK</td><td><a href=""></a></td></tr>
-<tr><td>LockWiper (Android)</td><td><a href=""></a></td></tr>
-</table></p> 197e85843d<br />
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diff --git a/spaces/fatiXbelha/sd/Download the Latest Version of Summertime Saga APK for Android 0.19.5.md b/spaces/fatiXbelha/sd/Download the Latest Version of Summertime Saga APK for Android 0.19.5.md
deleted file mode 100644
index 6082bcc655a1bb39bf536b5d91d2e8db40a13bca..0000000000000000000000000000000000000000
--- a/spaces/fatiXbelha/sd/Download the Latest Version of Summertime Saga APK for Android 0.19.5.md	
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-<br />
-<h1>Summertime Saga 2020 APK Download-Latest Version 0.19.5</h1>
-<p>If you are looking for a fun and engaging game that will keep you entertained for hours, you should try Summertime Saga. Summertime Saga is an open-world adventure game where you can explore a colorful town, meet and interact with different characters, play mini games, and experience various stories. In this article, we will tell you what Summertime Saga is, what features it has, how to download and install it on your Android device, and some tips and tricks for playing it.</p>
-<h2>What is Summertime Saga?</h2>
-<p>Summertime Saga is a game developed by Kompas Productions, a small team of passionate developers who aim to create high-quality adult-themed games. The game is set in a small suburban town where you play as a young man who is trying to cope with the mysterious death of his father. Along the way, you will encounter many interesting characters, each with their own personality, backstory, and secrets. You will also have the opportunity to romance some of them, as well as engage in various activities such as studying, working, shopping, fishing, fighting, and more.</p>
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-<h3>Features of Summertime Saga</h3>
-<p>Summertime Saga is not your typical adventure game. It has many features that make it stand out from other games in the genre. Here are some of them:</p>
-<h4>Open-world adventure game</h4>
-<p>Summertime Saga is an open-world game, which means that you can explore the town at your own pace and in any order you want. You can visit different locations such as your home, school, beach, park, mall, hospital, library, gym, cinema, tattoo shop, and more. You can also interact with various objects and items that you find along the way.</p>
-<h4>Over 65 characters to interact with</h4>
-<p>Summertime Saga has a large cast of characters that you can meet and talk to. Some of them are friendly, some are hostile, some are helpful, some are mysterious, and some are romantic. You can learn more about them by having conversations, doing quests, giving gifts, or spying on them. You can also develop relationships with some of them and unlock special scenes and events.</p>
-<h4>Over 30 unique locations to explore</h4>
-<p>Summertime Saga has a rich and diverse environment that you can discover. Each location has its own atmosphere, design, music, and sound effects. You can also find hidden areas and secrets that will surprise you.</p>
-<h4>20+ mini games to play</h4>
-<p>Summertime Saga has a variety of mini games that you can play for fun or for rewards. Some of them are simple and easy, such as rock-paper-scissors or tic-tac-toe. Some of them are challenging and skill-based, such as shooting or racing. Some of them are naughty and erotic, such as strip poker or spin the bottle.</p>
-<h4>Multiple storylines to experience</h4>
-<p>Summertime Saga has a main storyline that revolves around your father's death and the mystery behind it. However, there are also many side stories that you can follow depending on your choices and actions. Each character has their own story arc that you can pursue and influence. Some of these stories are funny, some are dramatic, some are romantic, and some are dark. You can also experience different endings depending on your decisions and outcomes.</p>
-<h3>How to download and install Summertime Saga APK?</h3>
-<p>If you want to play Summertime Saga on your Android device, you will need to download and install the APK file. The APK file is a package that contains the game files and data. Here are the steps to do it:</p>
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-<h4>Step 1: Download the APK file from a trusted source</h4>
-<p>The first thing you need to do is to download the APK file from a reliable and secure source. You can find the latest version of Summertime Saga APK on the official website or on other reputable sites such as APKPure or APKMirror. Make sure you download the file that is compatible with your device and has the correct size and checksum.</p>
-<h4>Step 2: Enable unknown sources on your device</h4>
-<p>The next thing you need to do is to enable unknown sources on your device. This will allow you to install apps that are not from the Google Play Store. To do this, go to your device settings, then security, then toggle on the option that says "allow installation of apps from unknown sources". You may also need to confirm this action by tapping "OK" or "Yes" on a pop-up message.</p>
-<h4>Step 3: Install the APK file and launch the game</h4>
-<p>The final thing you need to do is to install the APK file and launch the game. To do this, locate the downloaded APK file on your device, then tap on it to start the installation process. Follow the instructions on the screen and wait for the installation to finish. Once it is done, you can tap on the game icon to launch it and enjoy playing Summertime Saga.</p>
-<h3>Tips and tricks for playing Summertime Saga</h3>
-<p>Summertime Saga is a fun and addictive game, but it can also be challenging and confusing at times. Here are some tips and tricks that will help you play the game better and have more fun:</p>
-<h4>Save your progress frequently</h4>
-<p>Summertime Saga is a game that involves choices and consequences. Sometimes, you may make a wrong choice or miss an opportunity that will affect your progress or outcome. Therefore, it is important to save your progress frequently so that you can reload a previous save if you want to change something or try a different path. You can save your progress by using your computer in your bedroom or by using your phone in any location.</p>
-<h4>Use the map and the phone to navigate and communicate</h4>
-<p>Summertime Saga has a large map that shows all the locations that you can visit. You can access the map by using your phone or by clicking on the map icon on the top right corner of the screen. You can also use your phone to call or text other characters, check your messages, view your stats, see your inventory, and more. You can access your phone by clicking on the phone icon on the top left corner of the screen.</p>
-<h4>Complete quests and tasks to unlock new content</h4>
-<p>Summertime Saga has many quests and tasks that you can complete to unlock new content and advance the story. Some of these quests are mandatory, while some are optional. You can view your current quests and tasks by using your phone or by clicking on the quest icon on the top right corner of the screen. You can also see hints and objectives for each quest or task by hovering over them with your mouse cursor.</p>
-<h4>Earn money and items by doing jobs and mini games</h4>
-<p>Summertime Saga has many ways for you to earn money and items that you can use for various purposes. Some of these ways are doing jobs such as delivering pizzas, working at a car dealership, or tutoring students. Some of these ways are playing mini games such as fishing, shooting, or racing. You can also find money and items by exploring different locations and interacting with objects.</p>
-<h4>Improve your stats and skills by studying and training</h4>
-<p>Summertime Saga has many stats and skills that you can improve by studying and training. Some of these stats are intelligence, charisma, strength, dexterity, fighting, shooting, fishing, hacking, etc. Some of these skills are guitar, piano, singing, dancing, etc. You can improve your stats by studying at school or at home, reading books or magazines, watching TV or movies, etc. You can improve your skills by training at the gym or at home, playing instruments or games, etc.</p>
-<h3>Conclusion</h3> <p>Summertime Saga is a game that will keep you hooked for hours with its captivating story, colorful graphics, engaging gameplay, and diverse content. It is a game that will make you laugh, cry, feel, and enjoy. It is a game that will let you live your own summertime saga. If you are looking for a game that will spice up your life, you should download and install Summertime Saga APK on your Android device today.</p>
-<h3>FAQs</h3>
-<p>Here are some frequently asked questions about Summertime Saga:</p>
-<table>
-<tr>
-<th>Question</th>
-<th>Answer</th>
-</tr>
-<tr>
-<td>Is Summertime Saga free to play?</td>
-<td>Yes, Summertime Saga is free to play and download. However, you can support the developers by donating or becoming a patron on their website.</td>
-</tr>
-<tr>
-<td>Is Summertime Saga safe to play?</td>
-<td>Yes, Summertime Saga is safe to play as long as you download it from a trusted source and enable unknown sources on your device. However, you should be aware that the game contains adult content and themes that are not suitable for minors or sensitive people.</td>
-</tr>
-<tr>
-<td>How often is Summertime Saga updated?</td>
-<td>Summertime Saga is updated regularly with new content and features. The developers usually release a new update every few months. You can check the latest news and updates on their website or social media accounts.</td>
-</tr>
-<tr>
-<td>How can I report bugs or issues with Summertime Saga?</td>
-<td>If you encounter any bugs or issues with Summertime Saga, you can report them on the official bug tracker or on the Discord server. The developers will try to fix them as soon as possible.</td>
-</tr>
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-<td>How can I get more information or help with Summertime Saga?</td>
-<td>If you need more information or help with Summertime Saga, you can visit the official website or the wiki page. You can also join the Discord server or the Reddit community to chat with other players and fans.</td>
-</tr>
-</table></p> 401be4b1e0<br />
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diff --git a/spaces/fb700/chatglm-fitness-RLHF/docs/use_azure.md b/spaces/fb700/chatglm-fitness-RLHF/docs/use_azure.md
deleted file mode 100644
index f1c27ef3eab1ac393e37efa2dec34e6733bc070d..0000000000000000000000000000000000000000
--- a/spaces/fb700/chatglm-fitness-RLHF/docs/use_azure.md
+++ /dev/null
@@ -1,152 +0,0 @@
-# 通过微软Azure云服务申请 Openai API
-
-由于Openai和微软的关系，现在是可以通过微软的Azure云计算服务直接访问openai的api，免去了注册和网络的问题。
-
-快速入门的官方文档的链接是：[快速入门 - 开始通过 Azure OpenAI 服务使用 ChatGPT 和 GPT-4 - Azure OpenAI Service | Microsoft Learn](https://learn.microsoft.com/zh-cn/azure/cognitive-services/openai/chatgpt-quickstart?pivots=programming-language-python)
-
-# 申请API
-
-按文档中的“先决条件”的介绍，出了编程的环境以外，还需要以下三个条件：
-
-1.  Azure账号并创建订阅
-
-2.  为订阅添加Azure OpenAI 服务
-
-3.  部署模型
-
-## Azure账号并创建订阅
-
-### Azure账号
-
-创建Azure的账号时最好是有微软的账号，这样似乎更容易获得免费额度（第一个月的200美元，实测了一下，如果用一个刚注册的微软账号登录Azure的话，并没有这一个月的免费额度）。
-
-创建Azure账号的网址是：[立即创建 Azure 免费帐户 | Microsoft Azure](https://azure.microsoft.com/zh-cn/free/)
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_944786_iH6AECuZ_tY0EaBd_1685327219?w=1327\&h=695\&type=image/png)
-
-打开网页后，点击 “免费开始使用” 会跳转到登录或注册页面，如果有微软的账户，直接登录即可，如果没有微软账户，那就需要到微软的网页再另行注册一个。
-
-注意，Azure的页面和政策时不时会变化，已实际最新显示的为准就好。
-
-### 创建订阅
-
-注册好Azure后便可进入主页：
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_444847_tk-9S-pxOYuaLs_K_1685327675?w=1865\&h=969\&type=image/png)
-
-首先需要在订阅里进行添加操作，点开后即可进入订阅的页面：
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_612820_z_1AlaEgnJR-rUl0_1685327892?w=1865\&h=969\&type=image/png)
-
-第一次进来应该是空的，点添加即可创建新的订阅（可以是“免费”或者“即付即用”的订阅），其中订阅ID是后面申请Azure OpenAI需要使用的。
-
-## 为订阅添加Azure OpenAI服务
-
-之后回到首页，点Azure OpenAI即可进入OpenAI服务的页面（如果不显示的话，则在首页上方的搜索栏里搜索“openai”即可）。
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_269759_nExkGcPC0EuAR5cp_1685328130?w=1865\&h=969\&type=image/png)
-
-不过现在这个服务还不能用。在使用前，还需要在这个网址申请一下：
-
-[Request Access to Azure OpenAI Service (microsoft.com)](https://customervoice.microsoft.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbR7en2Ais5pxKtso_Pz4b1_xUOFA5Qk1UWDRBMjg0WFhPMkIzTzhKQ1dWNyQlQCN0PWcu)
-
-这里有二十来个问题，按照要求和自己的实际情况填写即可。
-
-其中需要注意的是
-
-1.  千万记得填对"订阅ID"
-
-2.  需要填一个公司邮箱（可以不是注册用的邮箱）和公司网址
-
-之后，在回到上面那个页面，点创建，就会进入创建页面了：
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_72708_9d9JYhylPVz3dFWL_1685328372?w=824\&h=590\&type=image/png)
-
-需要填入“资源组”和“名称”，按照自己的需要填入即可。
-
-完成后，在主页的“资源”里就可以看到刚才创建的“资源”了，点击进入后，就可以进行最后的部署了。
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_871541_CGCnbgtV9Uk1Jccy_1685329861?w=1217\&h=628\&type=image/png)
-
-## 部署模型
-
-进入资源页面后，在部署模型前，可以先点击“开发”，把密钥和终结点记下来。
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_852567_dxCZOrkMlWDSLH0d_1685330736?w=856\&h=568\&type=image/png)
-
-之后，就可以去部署模型了，点击“部署”即可，会跳转到 Azure OpenAI Stuido 进行下面的操作：
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_169225_uWs1gMhpNbnwW4h2_1685329901?w=1865\&h=969\&type=image/png)
-
-进入 Azure OpenAi Studio 后，点击新建部署，会弹出如下对话框：
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_391255_iXUSZAzoud5qlxjJ_1685330224?w=656\&h=641\&type=image/png)
-
-在这里选 gpt-35-turbo 或需要的模型并按需要填入“部署名”即可完成模型的部署。
-
-![](https://wdcdn.qpic.cn/MTY4ODg1Mjk4NzI5NTU1NQ_724099_vBaHcUilsm1EtPgK_1685330396?w=1869\&h=482\&type=image/png)
-
-这个部署名需要记下来。
-
-到现在为止，申请操作就完成了，需要记下来的有下面几个东西：
-
-● 密钥（1或2都可以）
-
-● 终结点
-
-● 部署名（不是模型名）
-
-# 修改 config.py
-
-```
-AZURE_ENDPOINT = "填入终结点"
-AZURE_API_KEY = "填入azure openai api的密钥"
-AZURE_API_VERSION = "2023-05-15"  # 默认使用 2023-05-15 版本，无需修改
-AZURE_ENGINE = "填入部署名"
-
-```
-# API的使用
-
-接下来就是具体怎么使用API了，还是可以参考官方文档：[快速入门 - 开始通过 Azure OpenAI 服务使用 ChatGPT 和 GPT-4 - Azure OpenAI Service | Microsoft Learn](https://learn.microsoft.com/zh-cn/azure/cognitive-services/openai/chatgpt-quickstart?pivots=programming-language-python)
-
-和openai自己的api调用有点类似，都需要安装openai库，不同的是调用方式
-
-```
-import openai
-openai.api_type = "azure" #固定格式，无需修改
-openai.api_base = os.getenv("AZURE_OPENAI_ENDPOINT") #这里填入“终结点”
-openai.api_version = "2023-05-15" #固定格式，无需修改
-openai.api_key = os.getenv("AZURE_OPENAI_KEY") #这里填入“密钥1”或“密钥2”
-
-response = openai.ChatCompletion.create(
-    engine="gpt-35-turbo", #这里填入的不是模型名，是部署名
-    messages=[
-        {"role": "system", "content": "You are a helpful assistant."},
-        {"role": "user", "content": "Does Azure OpenAI support customer managed keys?"},
-        {"role": "assistant", "content": "Yes, customer managed keys are supported by Azure OpenAI."},
-        {"role": "user", "content": "Do other Azure Cognitive Services support this too?"}
-    ]
-)
-
-print(response)
-print(response['choices'][0]['message']['content'])
-
-```
-
-需要注意的是：
-
-1.  engine那里填入的是部署名，不是模型名
-
-2.  通过openai库获得的这个 response 和通过 request 库访问 url 获得的 response 不同，不需要 decode，已经是解析好的 json 了，直接根据键值读取即可。
-
-更细节的使用方法，详见官方API文档。
-
-# 关于费用
-
-Azure OpenAI API 还是需要一些费用的（免费订阅只有1个月有效期），费用如下：
-
-![image.png](https://note.youdao.com/yws/res/18095/WEBRESOURCEeba0ab6d3127b79e143ef2d5627c0e44)
-
-具体可以可以看这个网址 ：[Azure OpenAI 服务 - 定价| Microsoft Azure](https://azure.microsoft.com/zh-cn/pricing/details/cognitive-services/openai-service/?cdn=disable)
-
-并非网上说的什么“一年白嫖”，但注册方法以及网络问题都比直接使用openai的api要简单一些。
diff --git a/spaces/fclong/summary/fengshen/examples/zen1_finetune/fengshen_sequence_level_ft_task.py b/spaces/fclong/summary/fengshen/examples/zen1_finetune/fengshen_sequence_level_ft_task.py
deleted file mode 100644
index 1404571159ea95776c3953fdecb28a84031c1347..0000000000000000000000000000000000000000
--- a/spaces/fclong/summary/fengshen/examples/zen1_finetune/fengshen_sequence_level_ft_task.py
+++ /dev/null
@@ -1,610 +0,0 @@
-# coding=utf-8
-# Copyright 2021 The IDEA Authors. All rights reserved.
-
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-
-#     http://www.apache.org/licenses/LICENSE-2.0
-
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from fengshen.models.zen1.tokenization import BertTokenizer
-from fengshen.models.zen1.modeling import ZenForSequenceClassification
-from fengshen.models.zen1.ngram_utils import ZenNgramDict
-from pytorch_lightning.callbacks import LearningRateMonitor
-import csv
-from dataclasses import dataclass
-import logging
-import math
-import numpy as np
-import os
-from tqdm import tqdm
-import json
-import torch
-import pytorch_lightning as pl
-from random import shuffle
-import argparse
-from pytorch_lightning.callbacks import ModelCheckpoint
-from torch.utils.data import Dataset, DataLoader
-
-logging.basicConfig(format='%(asctime)s - %(levelname)s - %(name)s -   %(message)s',
-                    datefmt='%m/%d/%Y %H:%M:%S',
-                    level=logging.INFO)
-logger = logging.getLogger(__name__)
-
-
-class InputExample(object):
-    """A single training/test example for simple sequence classification."""
-
-    def __init__(self, guid, text_a, text_b=None, label=None):
-        """Constructs a InputExample.
-
-        Args:
-            guid: Unique id for the example.
-            text_a: string. The untokenized text of the first sequence. For single
-            sequence tasks, only this sequence must be specified.
-            text_b: (Optional) string. The untokenized text of the second sequence.
-            Only must be specified for sequence pair tasks.
-            label: (Optional) string. The label of the example. This should be
-            specified for train and dev examples, but not for test examples.
-        """
-        self.guid = guid
-        self.text_a = text_a
-        self.text_b = text_b
-        self.label = label
-
-
-class InputFeatures(object):
-    """A single set of features of data."""
-
-    def __init__(self, input_ids, input_mask, segment_ids, label_id, ngram_ids, ngram_positions, ngram_lengths,
-                 ngram_tuples, ngram_seg_ids, ngram_masks):
-        self.input_ids = input_ids
-        self.input_mask = input_mask
-        self.segment_ids = segment_ids
-        self.label_id = label_id
-
-        self.ngram_ids = ngram_ids
-        self.ngram_positions = ngram_positions
-        self.ngram_lengths = ngram_lengths
-        self.ngram_tuples = ngram_tuples
-        self.ngram_seg_ids = ngram_seg_ids
-        self.ngram_masks = ngram_masks
-
-
-class DataProcessor(object):
-    """Base class for data converters for sequence classification data sets."""
-
-    def get_examples(self, data_path, mode):
-        """Gets a collection of `InputExample`s for the train set."""
-        raise NotImplementedError()
-
-    @classmethod
-    def _read_tsv(cls, input_file, quotechar=None):
-        """Reads a tab separated value file."""
-        with open(input_file, "r") as f:
-            reader = csv.reader(f, delimiter="\t", quotechar=quotechar)
-            lines = []
-            for line in reader:
-                # if sys.version_info[0] == 2:
-                #     line = list(unicode(cell, 'utf-8') for cell in line)
-                lines.append(line)
-            return lines
-
-    @classmethod
-    def _read_json(cls, input_file):
-        """Reads a jsonl file."""
-        with open(input_file, "r", encoding="utf-8") as f:
-            lines = f.readlines()
-            samples = []
-            for line in tqdm(lines):
-                data = json.loads(line)
-                samples.append(data)
-            return samples
-
-
-class TnewsProcessor(DataProcessor):
-    """Processor for the tnews data set (HIT version)."""
-
-    def get_train_examples(self, data_dir):
-        """See base class."""
-        return self._create_examples(
-            self._read_json(os.path.join(data_dir, "train.json")), "train")
-
-    def get_examples(self, data_path, mode):
-        return self._create_examples(
-            self._read_json(data_path),
-            set_type=mode
-        )
-
-    def _create_examples(self, lines, set_type):
-        """Creates examples for the training and dev sets."""
-        examples = []
-        for (i, line) in enumerate(lines):
-            # if i == 0:
-            #    continue
-            guid = "%s-%s" % (set_type, i)
-            # text_a = line[0]
-            text_a = line['sentence']
-            label = line['label'] if 'label' in line.keys() else None
-            examples.append(
-                InputExample(guid=guid, text_a=text_a, label=label))
-        return examples
-
-
-class OcnliProcessor(DataProcessor):
-    """Processor for the ocnli or cmnli data set (HIT version)."""
-
-    def get_examples(self, data_path, mode):
-        return self._create_examples(
-            self._read_json(data_path),
-            set_type=mode
-        )
-
-    def _create_examples(self, lines, set_type):
-        """Creates examples for the training and dev sets."""
-        examples = []
-        for (i, line) in enumerate(lines):
-            # if i == 0:
-            #    continue
-            guid = "%s-%s" % (set_type, i)
-            # text_a = line[0]
-            text_a = line['sentence1']
-            text_b = line['sentence2']
-            label = line['label'] if 'label' in line.keys() else None
-            # 特殊处理，cmnli有label为-的
-            if label == '-':
-                label = None
-            examples.append(
-                InputExample(guid=guid, text_a=text_a, text_b=text_b, label=label))
-        return examples
-
-
-class IflytekProcessor(DataProcessor):
-    """Processor for the iflytek data set (HIT version)."""
-
-    def get_examples(self, data_path, mode):
-        return self._create_examples(
-            self._read_json(data_path),
-            set_type=mode
-        )
-
-    def _create_examples(self, lines, set_type):
-        """Creates examples for the training and dev sets."""
-        examples = []
-        for (i, line) in enumerate(lines):
-            # if i == 0:
-            #    continue
-            guid = "%s-%s" % (set_type, i)
-            # text_a = line[0]
-            text_a = line['sentence']
-            label = line['label'] if 'label' in line.keys() else None
-            examples.append(
-                InputExample(guid=guid, text_a=text_a, label=label))
-        return examples
-
-
-def convert_examples_to_features(examples, label_map, max_seq_length, tokenizer, ngram_dict):
-    """Loads a data file into a list of `InputBatch`s."""
-
-    features = []
-    for (ex_index, example) in enumerate(examples):
-        if ex_index % 10000 == 0:
-            logger.info("Writing example %d of %d" % (ex_index, len(examples)))
-
-        tokens_a = tokenizer.tokenize(example.text_a)
-
-        tokens_b = None
-        if example.text_b:
-            tokens_b = tokenizer.tokenize(example.text_b)
-            # Modifies `tokens_a` and `tokens_b` in place so that the total
-            # length is less than the specified length.
-            # Account for [CLS], [SEP], [SEP] with "- 3"
-            _truncate_seq_pair(tokens_a, tokens_b, max_seq_length - 3)
-        else:
-            # Account for [CLS] and [SEP] with "- 2"
-            if len(tokens_a) > max_seq_length - 2:
-                tokens_a = tokens_a[:(max_seq_length - 2)]
-
-        # The convention in BERT is:
-        # (a) For sequence pairs:
-        #  tokens:   [CLS] is this jack ##son ##ville ? [SEP] no it is not . [SEP]
-        #  type_ids: 0   0  0    0    0     0       0 0    1  1  1  1   1 1
-        # (b) For single sequences:
-        #  tokens:   [CLS] the dog is hairy . [SEP]
-        #  type_ids: 0   0   0   0  0     0 0
-        #
-        # Where "type_ids" are used to indicate whether this is the first
-        # sequence or the second sequence. The embedding vectors for `type=0` and
-        # `type=1` were learned during pre-training and are added to the wordpiece
-        # embedding vector (and position vector). This is not *strictly* necessary
-        # since the [SEP] token unambiguously separates the sequences, but it makes
-        # it easier for the model to learn the concept of sequences.
-        #
-        # For classification tasks, the first vector (corresponding to [CLS]) is
-        # used as as the "sentence vector". Note that this only makes sense because
-        # the entire model is fine-tuned.
-        tokens = ["[CLS]"] + tokens_a + ["[SEP]"]
-        segment_ids = [0] * len(tokens)
-
-        if tokens_b:
-            tokens += tokens_b + ["[SEP]"]
-            segment_ids += [1] * (len(tokens_b) + 1)
-
-        input_ids = tokenizer.convert_tokens_to_ids(tokens)
-
-        # The mask has 1 for real tokens and 0 for padding tokens. Only real
-        # tokens are attended to.
-        input_mask = [1] * len(input_ids)
-
-        # Zero-pad up to the sequence length.
-        padding = [0] * (max_seq_length - len(input_ids))
-        input_ids += padding
-        input_mask += padding
-        segment_ids += padding
-
-        assert len(input_ids) == max_seq_length
-        assert len(input_mask) == max_seq_length
-        assert len(segment_ids) == max_seq_length
-
-        label_id = label_map[example.label]
-
-        # ----------- code for ngram BEGIN-----------
-        ngram_matches = []
-        #  Filter the word segment from 2 to 7 to check whether there is a word
-        for p in range(2, 8):
-            for q in range(0, len(tokens) - p + 1):
-                character_segment = tokens[q:q + p]
-                # j is the starting position of the word
-                # i is the length of the current word
-                character_segment = tuple(character_segment)
-                if character_segment in ngram_dict.ngram_to_id_dict:
-                    ngram_index = ngram_dict.ngram_to_id_dict[character_segment]
-                    ngram_matches.append([ngram_index, q, p, character_segment])
-
-        shuffle(ngram_matches)
-        # max_word_in_seq_proportion = max_word_in_seq
-        max_word_in_seq_proportion = math.ceil((len(tokens) / max_seq_length) * ngram_dict.max_ngram_in_seq)
-        if len(ngram_matches) > max_word_in_seq_proportion:
-            ngram_matches = ngram_matches[:max_word_in_seq_proportion]
-        ngram_ids = [ngram[0] for ngram in ngram_matches]
-        ngram_positions = [ngram[1] for ngram in ngram_matches]
-        ngram_lengths = [ngram[2] for ngram in ngram_matches]
-        ngram_tuples = [ngram[3] for ngram in ngram_matches]
-        ngram_seg_ids = [0 if position < (len(tokens_a) + 2) else 1 for position in ngram_positions]
-
-        ngram_mask_array = np.zeros(ngram_dict.max_ngram_in_seq, dtype=np.bool)
-        ngram_mask_array[:len(ngram_ids)] = 1
-
-        # record the masked positions
-        ngram_positions_matrix = np.zeros(shape=(max_seq_length, ngram_dict.max_ngram_in_seq), dtype=np.int32)
-        for i in range(len(ngram_ids)):
-            ngram_positions_matrix[ngram_positions[i]:ngram_positions[i] + ngram_lengths[i], i] = 1.0
-
-        # Zero-pad up to the max word in seq length.
-        padding = [0] * (ngram_dict.max_ngram_in_seq - len(ngram_ids))
-        ngram_ids += padding
-        ngram_lengths += padding
-        ngram_seg_ids += padding
-
-        # ----------- code for ngram END-----------
-        label_id = label_map[example.label] if example.label is not None else 0
-        features.append(
-            InputFeatures(input_ids=input_ids,
-                          input_mask=input_mask,
-                          segment_ids=segment_ids,
-                          label_id=label_id,
-                          ngram_ids=ngram_ids,
-                          ngram_positions=ngram_positions_matrix,
-                          ngram_lengths=ngram_lengths,
-                          ngram_tuples=ngram_tuples,
-                          ngram_seg_ids=ngram_seg_ids,
-                          ngram_masks=ngram_mask_array))
-
-    return features
-
-
-def _truncate_seq_pair(tokens_a, tokens_b, max_length):
-    """Truncates a sequence pair in place to the maximum length."""
-
-    # This is a simple heuristic which will always truncate the longer sequence
-    # one token at a time. This makes more sense than truncating an equal percent
-    # of tokens from each, since if one sequence is very short then each token
-    # that's truncated likely contains more information than a longer sequence.
-    while True:
-        total_length = len(tokens_a) + len(tokens_b)
-        if total_length <= max_length:
-            break
-        if len(tokens_a) > len(tokens_b):
-            tokens_a.pop()
-        else:
-            tokens_b.pop()
-
-
-class TaskDataset(Dataset):
-    def __init__(self, data_path, processor, mode='train'):
-        super().__init__()
-        self.data = self.load_data(data_path, processor, mode)
-
-    def __len__(self):
-        return len(self.data)
-
-    def __getitem__(self, index):
-        return self.data[index]
-
-    def load_data(self, data_path, processor, mode):
-        if mode == "train":
-            examples = processor.get_examples(data_path, mode)
-        elif mode == "test":
-            examples = processor.get_examples(data_path, mode)
-        elif mode == "dev":
-            examples = processor.get_examples(data_path, mode)
-        return examples
-
-
-@dataclass
-class TaskCollator:
-    args = None
-    tokenizer = None
-    ngram_dict = None
-    label2id = None
-
-    def __call__(self, samples):
-        features = convert_examples_to_features(samples, self.label2id, self.args.max_seq_length, self.tokenizer, self.ngram_dict)
-        # logger.info("  Num examples = %d", len(samples))
-        input_ids = torch.tensor([f.input_ids for f in features], dtype=torch.long)
-        input_mask = torch.tensor([f.input_mask for f in features], dtype=torch.long)
-        segment_ids = torch.tensor([f.segment_ids for f in features], dtype=torch.long)
-        label_ids = torch.tensor([f.label_id for f in features], dtype=torch.long)
-        ngram_ids = torch.tensor([f.ngram_ids for f in features], dtype=torch.long)
-        ngram_positions = torch.tensor([f.ngram_positions for f in features], dtype=torch.long)
-        # ngram_lengths = torch.tensor([f.ngram_lengths for f in features], dtype=torch.long)
-        # ngram_seg_ids = torch.tensor([f.ngram_seg_ids for f in features], dtype=torch.long)
-        # ngram_masks = torch.tensor([f.ngram_masks for f in features], dtype=torch.long)
-
-        return {
-            'input_ids': input_ids,
-            'input_ngram_ids': ngram_ids,
-            'ngram_position_matrix': ngram_positions,
-            'attention_mask': input_mask,
-            'token_type_ids': segment_ids,
-            'labels': label_ids,
-
-        }
-        # return default_collate(sample_list)
-
-
-class TaskDataModel(pl.LightningDataModule):
-    @staticmethod
-    def add_data_specific_args(parent_args):
-        parser = parent_args.add_argument_group('TASK NAME DataModel')
-        parser.add_argument('--data_dir', default='./data', type=str)
-        parser.add_argument('--num_workers', default=8, type=int)
-        parser.add_argument('--train_data', default='train.json', type=str)
-        parser.add_argument('--valid_data', default='dev.json', type=str)
-        parser.add_argument('--test_data', default='test.json', type=str)
-        parser.add_argument('--train_batchsize', default=16, type=int)
-        parser.add_argument('--valid_batchsize', default=32, type=int)
-        parser.add_argument('--max_seq_length', default=128, type=int)
-
-        parser.add_argument('--texta_name', default='text', type=str)
-        parser.add_argument('--textb_name', default='sentence2', type=str)
-        parser.add_argument('--label_name', default='label', type=str)
-        parser.add_argument('--id_name', default='id', type=str)
-
-        parser.add_argument('--dataset_name', default=None, type=str)
-        parser.add_argument('--vocab_file',
-                            type=str, default=None,
-                            help="Vocabulary mapping/file BERT was pretrainined on")
-        parser.add_argument("--do_lower_case",
-                            action='store_true',
-                            help="Set this flag if you are using an uncased model.")
-        parser.add_argument('--task_name', default='tnews', type=str)
-
-        return parent_args
-
-    def __init__(self, args):
-        super().__init__()
-        self.train_batchsize = args.train_batchsize
-        self.valid_batchsize = args.valid_batchsize
-        self.collator = TaskCollator()
-        self.collator.args = args
-        self.collator.tokenizer = BertTokenizer.from_pretrained(args.pretrained_model_path, do_lower_case=args.do_lower_case)
-        self.collator.ngram_dict = ZenNgramDict.from_pretrained(args.pretrained_model_path, tokenizer=self.collator.tokenizer)
-
-        processors = {
-            'afqmc': OcnliProcessor,
-            'tnews': TnewsProcessor,
-            'ocnli': OcnliProcessor,
-            'cmnli': OcnliProcessor,
-            'iflytek': IflytekProcessor,
-        }
-        if args.task_name not in processors:
-            raise ValueError("Task not found: %s" % (args.task_name))
-        processor = processors[args.task_name]()
-        if args.dataset_name is None:
-            self.label2id, self.id2label = self.load_schema(os.path.join(
-                args.data_dir, args.train_data), args)
-            self.train_data = TaskDataset(os.path.join(
-                args.data_dir, args.train_data), processor, mode='train')
-            self.valid_data = TaskDataset(os.path.join(
-                args.data_dir, args.valid_data), processor, mode='dev')
-            self.test_data = TaskDataset(os.path.join(
-                args.data_dir, args.test_data), processor, mode='test')
-            self.collator.label2id = self.label2id
-        else:
-            import datasets
-            ds = datasets.load_dataset(args.dataset_name)
-            self.train_data = ds['train']
-            self.valid_data = ds['validation']
-            self.test_data = ds['test']
-        self.save_hyperparameters(args)
-
-    def train_dataloader(self):
-        return DataLoader(self.train_data, shuffle=True, batch_size=self.train_batchsize, pin_memory=False,
-                          collate_fn=self.collator)
-
-    def val_dataloader(self):
-        return DataLoader(self.valid_data, shuffle=False, batch_size=self.valid_batchsize, pin_memory=False,
-                          collate_fn=self.collator)
-
-    def predict_dataloader(self):
-        return DataLoader(self.test_data, shuffle=False, batch_size=self.valid_batchsize, pin_memory=False,
-                          collate_fn=self.collator)
-
-    def load_schema(self, data_path, args):
-        with open(data_path, 'r', encoding='utf8') as f:
-            lines = f.readlines()
-            label_list = []
-            for line in tqdm(lines):
-                data = json.loads(line)
-                labels = data[args.label_name] if args.label_name in data.keys(
-                ) else 0
-                if labels not in label_list:
-                    label_list.append(labels)
-
-        label2id, id2label = {}, {}
-        for i, k in enumerate(label_list):
-            label2id[k] = i
-            id2label[i] = k
-        return label2id, id2label
-
-
-class LitModel(pl.LightningModule):
-
-    @staticmethod
-    def add_model_specific_args(parent_args):
-        parser = parent_args.add_argument_group('BaseModel')
-        parser.add_argument('--num_labels', default=2, type=int)
-
-        return parent_args
-
-    def __init__(self, args):
-        super().__init__()
-        self.model = ZenForSequenceClassification.from_pretrained(args.pretrained_model_path, num_labels=args.num_labels)
-        self.save_hyperparameters(args)
-
-    def setup(self, stage) -> None:
-        if stage == 'fit':
-            train_loader = self.trainer._data_connector._train_dataloader_source.dataloader()
-
-            # Calculate total steps
-            if self.trainer.max_epochs > 0:
-                world_size = self.trainer.world_size
-                tb_size = self.hparams.train_batchsize * max(1, world_size)
-                ab_size = self.trainer.accumulate_grad_batches
-                self.total_steps = (len(train_loader.dataset) *
-                                    self.trainer.max_epochs // tb_size) // ab_size
-            else:
-                self.total_steps = self.trainer.max_steps // self.trainer.accumulate_grad_batches
-
-            print('Total steps: {}' .format(self.total_steps))
-
-    def training_step(self, batch, batch_idx):
-        loss, logits = self.model(**batch)
-        acc = self.comput_metrix(logits, batch['labels'])
-        self.log('train_loss', loss)
-        self.log('train_acc', acc)
-        return loss
-
-    def comput_metrix(self, logits, labels):
-        y_pred = torch.argmax(logits, dim=-1)
-        y_pred = y_pred.view(size=(-1,))
-        y_true = labels.view(size=(-1,)).float()
-        corr = torch.eq(y_pred, y_true)
-        acc = torch.sum(corr.float())/labels.size()[0]
-        return acc
-
-    def validation_step(self, batch, batch_idx):
-        loss, logits = self.model(**batch)
-        acc = self.comput_metrix(logits, batch['labels'])
-        self.log('val_loss', loss)
-        self.log('val_acc', acc)
-
-    def predict_step(self, batch, batch_idx):
-        output = self.model(**batch)
-        return output.logits
-
-    def configure_optimizers(self):
-        from fengshen.models.model_utils import configure_optimizers
-        return configure_optimizers(self)
-
-
-class TaskModelCheckpoint:
-    @staticmethod
-    def add_argparse_args(parent_args):
-        parser = parent_args.add_argument_group('BaseModel')
-
-        parser.add_argument('--monitor', default='train_loss', type=str)
-        parser.add_argument('--mode', default='min', type=str)
-        parser.add_argument('--dirpath', default='./log/', type=str)
-        parser.add_argument(
-            '--filename', default='model-{epoch:02d}-{train_loss:.4f}', type=str)
-
-        parser.add_argument('--save_top_k', default=3, type=float)
-        parser.add_argument('--every_n_train_steps', default=100, type=float)
-        parser.add_argument('--save_weights_only', default=True, type=bool)
-
-        return parent_args
-
-    def __init__(self, args):
-        self.callbacks = ModelCheckpoint(monitor=args.monitor,
-                                         save_top_k=args.save_top_k,
-                                         mode=args.mode,
-                                         every_n_train_steps=args.every_n_train_steps,
-                                         save_weights_only=args.save_weights_only,
-                                         dirpath=args.dirpath,
-                                         filename=args.filename)
-
-
-def save_test(data, args, data_model):
-    with open(args.output_save_path, 'w', encoding='utf-8') as f:
-        idx = 0
-        for i in range(len(data)):
-            batch = data[i]
-            for sample in batch:
-                tmp_result = dict()
-                label_id = np.argmax(sample.numpy())
-                tmp_result['id'] = data_model.test_data.data[idx]['id']
-                tmp_result['label'] = data_model.id2label[label_id]
-                json_data = json.dumps(tmp_result, ensure_ascii=False)
-                f.write(json_data+'\n')
-                idx += 1
-    print('save the result to '+args.output_save_path)
-
-
-def main():
-    total_parser = argparse.ArgumentParser("TASK NAME")
-    total_parser.add_argument('--pretrained_model_path', default='', type=str)
-    total_parser.add_argument('--output_save_path',
-                              default='./predict.json', type=str)
-    # * Args for data preprocessing
-    total_parser = TaskDataModel.add_data_specific_args(total_parser)
-    # * Args for training
-    total_parser = pl.Trainer.add_argparse_args(total_parser)
-    total_parser = TaskModelCheckpoint.add_argparse_args(total_parser)
-
-    # * Args for base model
-    from fengshen.models.model_utils import add_module_args
-    total_parser = add_module_args(total_parser)
-    total_parser = LitModel.add_model_specific_args(total_parser)
-
-    args = total_parser.parse_args()
-
-    checkpoint_callback = TaskModelCheckpoint(args).callbacks
-    lr_monitor = LearningRateMonitor(logging_interval='step')
-    trainer = pl.Trainer.from_argparse_args(args,
-                                            callbacks=[checkpoint_callback, lr_monitor]
-                                            )
-
-    data_model = TaskDataModel(args)
-    model = LitModel(args)
-    trainer.fit(model, data_model)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/spaces/feng2022/styleganhuman_copy/dnnlib/tflib/custom_ops.py b/spaces/feng2022/styleganhuman_copy/dnnlib/tflib/custom_ops.py
deleted file mode 100644
index a09ac5dc2a5de80d22a5593ed7725551737d59af..0000000000000000000000000000000000000000
--- a/spaces/feng2022/styleganhuman_copy/dnnlib/tflib/custom_ops.py
+++ /dev/null
@@ -1,171 +0,0 @@
-# Copyright (c) SenseTime Research. All rights reserved.
-
-# Copyright (c) 2019, NVIDIA Corporation. All rights reserved.
-#
-# This work is made available under the Nvidia Source Code License-NC.
-# To view a copy of this license, visit
-# https://nvlabs.github.io/stylegan2/license.html
-
-"""TensorFlow custom ops builder.
-"""
-
-import os
-import re
-import uuid
-import hashlib
-import tempfile
-import shutil
-import tensorflow as tf
-from tensorflow.python.client import device_lib # pylint: disable=no-name-in-module
-
-#----------------------------------------------------------------------------
-# Global options.
-
-cuda_cache_path = os.path.join(os.path.dirname(__file__), '_cudacache')
-cuda_cache_version_tag = 'v1'
-do_not_hash_included_headers = False # Speed up compilation by assuming that headers included by the CUDA code never change. Unsafe!
-verbose = True # Print status messages to stdout.
-
-compiler_bindir_search_path = [
-    'C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/VC/Tools/MSVC/14.14.26428/bin/Hostx64/x64',
-    'C:/Program Files (x86)/Microsoft Visual Studio/2019/Community/VC/Tools/MSVC/14.23.28105/bin/Hostx64/x64',
-    'C:/Program Files (x86)/Microsoft Visual Studio 14.0/vc/bin',
-]
-
-#----------------------------------------------------------------------------
-# Internal helper funcs.
-
-def _find_compiler_bindir():
-    for compiler_path in compiler_bindir_search_path:
-        if os.path.isdir(compiler_path):
-            return compiler_path
-    return None
-
-def _get_compute_cap(device):
-    caps_str = device.physical_device_desc
-    m = re.search('compute capability: (\\d+).(\\d+)', caps_str)
-    major = m.group(1)
-    minor = m.group(2)
-    return (major, minor)
-
-def _get_cuda_gpu_arch_string():
-    gpus = [x for x in device_lib.list_local_devices() if x.device_type == 'GPU']
-    if len(gpus) == 0:
-        raise RuntimeError('No GPU devices found')
-    (major, minor) = _get_compute_cap(gpus[0])
-    return 'sm_%s%s' % (major, minor)
-
-def _run_cmd(cmd):
-    with os.popen(cmd) as pipe:
-        output = pipe.read()
-        status = pipe.close()
-    if status is not None:
-        raise RuntimeError('NVCC returned an error. See below for full command line and output log:\n\n%s\n\n%s' % (cmd, output))
-
-def _prepare_nvcc_cli(opts):
-    cmd = 'nvcc ' + opts.strip()
-    cmd += ' --disable-warnings'
-    cmd += ' --include-path "%s"' % tf.sysconfig.get_include()
-    cmd += ' --include-path "%s"' % os.path.join(tf.sysconfig.get_include(), 'external', 'protobuf_archive', 'src')
-    cmd += ' --include-path "%s"' % os.path.join(tf.sysconfig.get_include(), 'external', 'com_google_absl')
-    cmd += ' --include-path "%s"' % os.path.join(tf.sysconfig.get_include(), 'external', 'eigen_archive')
-
-    compiler_bindir = _find_compiler_bindir()
-    if compiler_bindir is None:
-        # Require that _find_compiler_bindir succeeds on Windows.  Allow
-        # nvcc to use whatever is the default on Linux.
-        if os.name == 'nt':
-            raise RuntimeError('Could not find MSVC/GCC/CLANG installation on this computer. Check compiler_bindir_search_path list in "%s".' % __file__)
-    else:
-        cmd += ' --compiler-bindir "%s"' % compiler_bindir
-    cmd += ' 2>&1'
-    return cmd
-
-#----------------------------------------------------------------------------
-# Main entry point.
-
-_plugin_cache = dict()
-
-def get_plugin(cuda_file):
-    cuda_file_base = os.path.basename(cuda_file)
-    cuda_file_name, cuda_file_ext = os.path.splitext(cuda_file_base)
-
-    # Already in cache?
-    if cuda_file in _plugin_cache:
-        return _plugin_cache[cuda_file]
-
-    # Setup plugin.
-    if verbose:
-        print('Setting up TensorFlow plugin "%s": ' % cuda_file_base, end='', flush=True)
-    try:
-        # Hash CUDA source.
-        md5 = hashlib.md5()
-        with open(cuda_file, 'rb') as f:
-            md5.update(f.read())
-        md5.update(b'\n')
-
-        # Hash headers included by the CUDA code by running it through the preprocessor.
-        if not do_not_hash_included_headers:
-            if verbose:
-                print('Preprocessing... ', end='', flush=True)
-            with tempfile.TemporaryDirectory() as tmp_dir:
-                tmp_file = os.path.join(tmp_dir, cuda_file_name + '_tmp' + cuda_file_ext)
-                _run_cmd(_prepare_nvcc_cli('"%s" --preprocess -o "%s" --keep --keep-dir "%s"' % (cuda_file, tmp_file, tmp_dir)))
-                with open(tmp_file, 'rb') as f:
-                    bad_file_str = ('"' + cuda_file.replace('\\', '/') + '"').encode('utf-8') # __FILE__ in error check macros
-                    good_file_str = ('"' + cuda_file_base + '"').encode('utf-8')
-                    for ln in f:
-                        if not ln.startswith(b'# ') and not ln.startswith(b'#line '): # ignore line number pragmas
-                            ln = ln.replace(bad_file_str, good_file_str)
-                            md5.update(ln)
-                    md5.update(b'\n')
-
-        # Select compiler options.
-        compile_opts = ''
-        if os.name == 'nt':
-            compile_opts += '"%s"' % os.path.join(tf.sysconfig.get_lib(), 'python', '_pywrap_tensorflow_internal.lib')
-        elif os.name == 'posix':
-            compile_opts += '"%s"' % os.path.join(tf.sysconfig.get_lib(), 'python', '_pywrap_tensorflow_internal.so')
-            compile_opts += ' --compiler-options \'-fPIC -D_GLIBCXX_USE_CXX11_ABI=0\''
-        else:
-            assert False # not Windows or Linux, w00t?
-        compile_opts += ' --gpu-architecture=%s' % _get_cuda_gpu_arch_string()
-        compile_opts += ' --use_fast_math'
-        nvcc_cmd = _prepare_nvcc_cli(compile_opts)
-
-        # Hash build configuration.
-        md5.update(('nvcc_cmd: ' + nvcc_cmd).encode('utf-8') + b'\n')
-        md5.update(('tf.VERSION: ' + tf.VERSION).encode('utf-8') + b'\n')
-        md5.update(('cuda_cache_version_tag: ' + cuda_cache_version_tag).encode('utf-8') + b'\n')
-
-        # Compile if not already compiled.
-        bin_file_ext = '.dll' if os.name == 'nt' else '.so'
-        bin_file = os.path.join(cuda_cache_path, cuda_file_name + '_' + md5.hexdigest() + bin_file_ext)
-        if not os.path.isfile(bin_file):
-            if verbose:
-                print('Compiling... ', end='', flush=True)
-            with tempfile.TemporaryDirectory() as tmp_dir:
-                tmp_file = os.path.join(tmp_dir, cuda_file_name + '_tmp' + bin_file_ext)
-                _run_cmd(nvcc_cmd + ' "%s" --shared -o "%s" --keep --keep-dir "%s"' % (cuda_file, tmp_file, tmp_dir))
-                os.makedirs(cuda_cache_path, exist_ok=True)
-                intermediate_file = os.path.join(cuda_cache_path, cuda_file_name + '_' + uuid.uuid4().hex + '_tmp' + bin_file_ext)
-                shutil.copyfile(tmp_file, intermediate_file)
-                os.rename(intermediate_file, bin_file) # atomic
-
-        # Load.
-        if verbose:
-            print('Loading... ', end='', flush=True)
-        plugin = tf.load_op_library(bin_file)
-
-        # Add to cache.
-        _plugin_cache[cuda_file] = plugin
-        if verbose:
-            print('Done.', flush=True)
-        return plugin
-
-    except:
-        if verbose:
-            print('Failed!', flush=True)
-        raise
-
-#----------------------------------------------------------------------------
diff --git a/spaces/fffiloni/controlnet-animation-doodle/node_modules/engine.io/node_modules/debug/src/node.js b/spaces/fffiloni/controlnet-animation-doodle/node_modules/engine.io/node_modules/debug/src/node.js
deleted file mode 100644
index 79bc085cb0230c69aaeb76bbc1374f43ab6414f4..0000000000000000000000000000000000000000
--- a/spaces/fffiloni/controlnet-animation-doodle/node_modules/engine.io/node_modules/debug/src/node.js
+++ /dev/null
@@ -1,263 +0,0 @@
-/**
- * Module dependencies.
- */
-
-const tty = require('tty');
-const util = require('util');
-
-/**
- * This is the Node.js implementation of `debug()`.
- */
-
-exports.init = init;
-exports.log = log;
-exports.formatArgs = formatArgs;
-exports.save = save;
-exports.load = load;
-exports.useColors = useColors;
-exports.destroy = util.deprecate(
-	() => {},
-	'Instance method `debug.destroy()` is deprecated and no longer does anything. It will be removed in the next major version of `debug`.'
-);
-
-/**
- * Colors.
- */
-
-exports.colors = [6, 2, 3, 4, 5, 1];
-
-try {
-	// Optional dependency (as in, doesn't need to be installed, NOT like optionalDependencies in package.json)
-	// eslint-disable-next-line import/no-extraneous-dependencies
-	const supportsColor = require('supports-color');
-
-	if (supportsColor && (supportsColor.stderr || supportsColor).level >= 2) {
-		exports.colors = [
-			20,
-			21,
-			26,
-			27,
-			32,
-			33,
-			38,
-			39,
-			40,
-			41,
-			42,
-			43,
-			44,
-			45,
-			56,
-			57,
-			62,
-			63,
-			68,
-			69,
-			74,
-			75,
-			76,
-			77,
-			78,
-			79,
-			80,
-			81,
-			92,
-			93,
-			98,
-			99,
-			112,
-			113,
-			128,
-			129,
-			134,
-			135,
-			148,
-			149,
-			160,
-			161,
-			162,
-			163,
-			164,
-			165,
-			166,
-			167,
-			168,
-			169,
-			170,
-			171,
-			172,
-			173,
-			178,
-			179,
-			184,
-			185,
-			196,
-			197,
-			198,
-			199,
-			200,
-			201,
-			202,
-			203,
-			204,
-			205,
-			206,
-			207,
-			208,
-			209,
-			214,
-			215,
-			220,
-			221
-		];
-	}
-} catch (error) {
-	// Swallow - we only care if `supports-color` is available; it doesn't have to be.
-}
-
-/**
- * Build up the default `inspectOpts` object from the environment variables.
- *
- *   $ DEBUG_COLORS=no DEBUG_DEPTH=10 DEBUG_SHOW_HIDDEN=enabled node script.js
- */
-
-exports.inspectOpts = Object.keys(process.env).filter(key => {
-	return /^debug_/i.test(key);
-}).reduce((obj, key) => {
-	// Camel-case
-	const prop = key
-		.substring(6)
-		.toLowerCase()
-		.replace(/_([a-z])/g, (_, k) => {
-			return k.toUpperCase();
-		});
-
-	// Coerce string value into JS value
-	let val = process.env[key];
-	if (/^(yes|on|true|enabled)$/i.test(val)) {
-		val = true;
-	} else if (/^(no|off|false|disabled)$/i.test(val)) {
-		val = false;
-	} else if (val === 'null') {
-		val = null;
-	} else {
-		val = Number(val);
-	}
-
-	obj[prop] = val;
-	return obj;
-}, {});
-
-/**
- * Is stdout a TTY? Colored output is enabled when `true`.
- */
-
-function useColors() {
-	return 'colors' in exports.inspectOpts ?
-		Boolean(exports.inspectOpts.colors) :
-		tty.isatty(process.stderr.fd);
-}
-
-/**
- * Adds ANSI color escape codes if enabled.
- *
- * @api public
- */
-
-function formatArgs(args) {
-	const {namespace: name, useColors} = this;
-
-	if (useColors) {
-		const c = this.color;
-		const colorCode = '\u001B[3' + (c < 8 ? c : '8;5;' + c);
-		const prefix = `  ${colorCode};1m${name} \u001B[0m`;
-
-		args[0] = prefix + args[0].split('\n').join('\n' + prefix);
-		args.push(colorCode + 'm+' + module.exports.humanize(this.diff) + '\u001B[0m');
-	} else {
-		args[0] = getDate() + name + ' ' + args[0];
-	}
-}
-
-function getDate() {
-	if (exports.inspectOpts.hideDate) {
-		return '';
-	}
-	return new Date().toISOString() + ' ';
-}
-
-/**
- * Invokes `util.format()` with the specified arguments and writes to stderr.
- */
-
-function log(...args) {
-	return process.stderr.write(util.format(...args) + '\n');
-}
-
-/**
- * Save `namespaces`.
- *
- * @param {String} namespaces
- * @api private
- */
-function save(namespaces) {
-	if (namespaces) {
-		process.env.DEBUG = namespaces;
-	} else {
-		// If you set a process.env field to null or undefined, it gets cast to the
-		// string 'null' or 'undefined'. Just delete instead.
-		delete process.env.DEBUG;
-	}
-}
-
-/**
- * Load `namespaces`.
- *
- * @return {String} returns the previously persisted debug modes
- * @api private
- */
-
-function load() {
-	return process.env.DEBUG;
-}
-
-/**
- * Init logic for `debug` instances.
- *
- * Create a new `inspectOpts` object in case `useColors` is set
- * differently for a particular `debug` instance.
- */
-
-function init(debug) {
-	debug.inspectOpts = {};
-
-	const keys = Object.keys(exports.inspectOpts);
-	for (let i = 0; i < keys.length; i++) {
-		debug.inspectOpts[keys[i]] = exports.inspectOpts[keys[i]];
-	}
-}
-
-module.exports = require('./common')(exports);
-
-const {formatters} = module.exports;
-
-/**
- * Map %o to `util.inspect()`, all on a single line.
- */
-
-formatters.o = function (v) {
-	this.inspectOpts.colors = this.useColors;
-	return util.inspect(v, this.inspectOpts)
-		.split('\n')
-		.map(str => str.trim())
-		.join(' ');
-};
-
-/**
- * Map %O to `util.inspect()`, allowing multiple lines if needed.
- */
-
-formatters.O = function (v) {
-	this.inspectOpts.colors = this.useColors;
-	return util.inspect(v, this.inspectOpts);
-};
diff --git a/spaces/fffiloni/controlnet-animation-doodle/node_modules/ipaddr.js/ipaddr.min.js b/spaces/fffiloni/controlnet-animation-doodle/node_modules/ipaddr.js/ipaddr.min.js
deleted file mode 100644
index b54a7cc42ac48524d2de2fa43979367e09fbe385..0000000000000000000000000000000000000000
--- a/spaces/fffiloni/controlnet-animation-doodle/node_modules/ipaddr.js/ipaddr.min.js
+++ /dev/null
@@ -1 +0,0 @@
-(function(){var r,t,n,e,i,o,a,s;t={},s=this,"undefined"!=typeof module&&null!==module&&module.exports?module.exports=t:s.ipaddr=t,a=function(r,t,n,e){var i,o;if(r.length!==t.length)throw new Error("ipaddr: cannot match CIDR for objects with different lengths");for(i=0;e>0;){if((o=n-e)<0&&(o=0),r[i]>>o!=t[i]>>o)return!1;e-=n,i+=1}return!0},t.subnetMatch=function(r,t,n){var e,i,o,a,s;null==n&&(n="unicast");for(o in t)for(!(a=t[o])[0]||a[0]instanceof Array||(a=[a]),e=0,i=a.length;e<i;e++)if(s=a[e],r.kind()===s[0].kind()&&r.match.apply(r,s))return o;return n},t.IPv4=function(){function r(r){var t,n,e;if(4!==r.length)throw new Error("ipaddr: ipv4 octet count should be 4");for(t=0,n=r.length;t<n;t++)if(!(0<=(e=r[t])&&e<=255))throw new Error("ipaddr: ipv4 octet should fit in 8 bits");this.octets=r}return r.prototype.kind=function(){return"ipv4"},r.prototype.toString=function(){return this.octets.join(".")},r.prototype.toNormalizedString=function(){return this.toString()},r.prototype.toByteArray=function(){return this.octets.slice(0)},r.prototype.match=function(r,t){var n;if(void 0===t&&(r=(n=r)[0],t=n[1]),"ipv4"!==r.kind())throw new Error("ipaddr: cannot match ipv4 address with non-ipv4 one");return a(this.octets,r.octets,8,t)},r.prototype.SpecialRanges={unspecified:[[new r([0,0,0,0]),8]],broadcast:[[new r([255,255,255,255]),32]],multicast:[[new r([224,0,0,0]),4]],linkLocal:[[new r([169,254,0,0]),16]],loopback:[[new r([127,0,0,0]),8]],carrierGradeNat:[[new r([100,64,0,0]),10]],private:[[new r([10,0,0,0]),8],[new r([172,16,0,0]),12],[new r([192,168,0,0]),16]],reserved:[[new r([192,0,0,0]),24],[new r([192,0,2,0]),24],[new r([192,88,99,0]),24],[new r([198,51,100,0]),24],[new r([203,0,113,0]),24],[new r([240,0,0,0]),4]]},r.prototype.range=function(){return t.subnetMatch(this,this.SpecialRanges)},r.prototype.toIPv4MappedAddress=function(){return t.IPv6.parse("::ffff:"+this.toString())},r.prototype.prefixLengthFromSubnetMask=function(){var r,t,n,e,i,o,a;for(a={0:8,128:7,192:6,224:5,240:4,248:3,252:2,254:1,255:0},r=0,i=!1,t=n=3;n>=0;t=n+=-1){if(!((e=this.octets[t])in a))return null;if(o=a[e],i&&0!==o)return null;8!==o&&(i=!0),r+=o}return 32-r},r}(),n="(0?\\d+|0x[a-f0-9]+)",e={fourOctet:new RegExp("^"+n+"\\."+n+"\\."+n+"\\."+n+"$","i"),longValue:new RegExp("^"+n+"$","i")},t.IPv4.parser=function(r){var t,n,i,o,a;if(n=function(r){return"0"===r[0]&&"x"!==r[1]?parseInt(r,8):parseInt(r)},t=r.match(e.fourOctet))return function(){var r,e,o,a;for(a=[],r=0,e=(o=t.slice(1,6)).length;r<e;r++)i=o[r],a.push(n(i));return a}();if(t=r.match(e.longValue)){if((a=n(t[1]))>4294967295||a<0)throw new Error("ipaddr: address outside defined range");return function(){var r,t;for(t=[],o=r=0;r<=24;o=r+=8)t.push(a>>o&255);return t}().reverse()}return null},t.IPv6=function(){function r(r,t){var n,e,i,o,a,s;if(16===r.length)for(this.parts=[],n=e=0;e<=14;n=e+=2)this.parts.push(r[n]<<8|r[n+1]);else{if(8!==r.length)throw new Error("ipaddr: ipv6 part count should be 8 or 16");this.parts=r}for(i=0,o=(s=this.parts).length;i<o;i++)if(!(0<=(a=s[i])&&a<=65535))throw new Error("ipaddr: ipv6 part should fit in 16 bits");t&&(this.zoneId=t)}return r.prototype.kind=function(){return"ipv6"},r.prototype.toString=function(){return this.toNormalizedString().replace(/((^|:)(0(:|$))+)/,"::")},r.prototype.toRFC5952String=function(){var r,t,n,e,i;for(e=/((^|:)(0(:|$)){2,})/g,i=this.toNormalizedString(),r=0,t=-1;n=e.exec(i);)n[0].length>t&&(r=n.index,t=n[0].length);return t<0?i:i.substring(0,r)+"::"+i.substring(r+t)},r.prototype.toByteArray=function(){var r,t,n,e,i;for(r=[],t=0,n=(i=this.parts).length;t<n;t++)e=i[t],r.push(e>>8),r.push(255&e);return r},r.prototype.toNormalizedString=function(){var r,t,n;return r=function(){var r,n,e,i;for(i=[],r=0,n=(e=this.parts).length;r<n;r++)t=e[r],i.push(t.toString(16));return i}.call(this).join(":"),n="",this.zoneId&&(n="%"+this.zoneId),r+n},r.prototype.toFixedLengthString=function(){var r,t,n;return r=function(){var r,n,e,i;for(i=[],r=0,n=(e=this.parts).length;r<n;r++)t=e[r],i.push(t.toString(16).padStart(4,"0"));return i}.call(this).join(":"),n="",this.zoneId&&(n="%"+this.zoneId),r+n},r.prototype.match=function(r,t){var n;if(void 0===t&&(r=(n=r)[0],t=n[1]),"ipv6"!==r.kind())throw new Error("ipaddr: cannot match ipv6 address with non-ipv6 one");return a(this.parts,r.parts,16,t)},r.prototype.SpecialRanges={unspecified:[new r([0,0,0,0,0,0,0,0]),128],linkLocal:[new r([65152,0,0,0,0,0,0,0]),10],multicast:[new r([65280,0,0,0,0,0,0,0]),8],loopback:[new r([0,0,0,0,0,0,0,1]),128],uniqueLocal:[new r([64512,0,0,0,0,0,0,0]),7],ipv4Mapped:[new r([0,0,0,0,0,65535,0,0]),96],rfc6145:[new r([0,0,0,0,65535,0,0,0]),96],rfc6052:[new r([100,65435,0,0,0,0,0,0]),96],"6to4":[new r([8194,0,0,0,0,0,0,0]),16],teredo:[new r([8193,0,0,0,0,0,0,0]),32],reserved:[[new r([8193,3512,0,0,0,0,0,0]),32]]},r.prototype.range=function(){return t.subnetMatch(this,this.SpecialRanges)},r.prototype.isIPv4MappedAddress=function(){return"ipv4Mapped"===this.range()},r.prototype.toIPv4Address=function(){var r,n,e;if(!this.isIPv4MappedAddress())throw new Error("ipaddr: trying to convert a generic ipv6 address to ipv4");return e=this.parts.slice(-2),r=e[0],n=e[1],new t.IPv4([r>>8,255&r,n>>8,255&n])},r.prototype.prefixLengthFromSubnetMask=function(){var r,t,n,e,i,o,a;for(a={0:16,32768:15,49152:14,57344:13,61440:12,63488:11,64512:10,65024:9,65280:8,65408:7,65472:6,65504:5,65520:4,65528:3,65532:2,65534:1,65535:0},r=0,i=!1,t=n=7;n>=0;t=n+=-1){if(!((e=this.parts[t])in a))return null;if(o=a[e],i&&0!==o)return null;16!==o&&(i=!0),r+=o}return 128-r},r}(),i="(?:[0-9a-f]+::?)+",o={zoneIndex:new RegExp("%[0-9a-z]{1,}","i"),native:new RegExp("^(::)?("+i+")?([0-9a-f]+)?(::)?(%[0-9a-z]{1,})?$","i"),transitional:new RegExp("^((?:"+i+")|(?:::)(?:"+i+")?)"+n+"\\."+n+"\\."+n+"\\."+n+"(%[0-9a-z]{1,})?$","i")},r=function(r,t){var n,e,i,a,s,p;if(r.indexOf("::")!==r.lastIndexOf("::"))return null;for((p=(r.match(o.zoneIndex)||[])[0])&&(p=p.substring(1),r=r.replace(/%.+$/,"")),n=0,e=-1;(e=r.indexOf(":",e+1))>=0;)n++;if("::"===r.substr(0,2)&&n--,"::"===r.substr(-2,2)&&n--,n>t)return null;for(s=t-n,a=":";s--;)a+="0:";return":"===(r=r.replace("::",a))[0]&&(r=r.slice(1)),":"===r[r.length-1]&&(r=r.slice(0,-1)),t=function(){var t,n,e,o;for(o=[],t=0,n=(e=r.split(":")).length;t<n;t++)i=e[t],o.push(parseInt(i,16));return o}(),{parts:t,zoneId:p}},t.IPv6.parser=function(t){var n,e,i,a,s,p,u;if(o.native.test(t))return r(t,8);if((a=t.match(o.transitional))&&(u=a[6]||"",(n=r(a[1].slice(0,-1)+u,6)).parts)){for(e=0,i=(p=[parseInt(a[2]),parseInt(a[3]),parseInt(a[4]),parseInt(a[5])]).length;e<i;e++)if(!(0<=(s=p[e])&&s<=255))return null;return n.parts.push(p[0]<<8|p[1]),n.parts.push(p[2]<<8|p[3]),{parts:n.parts,zoneId:n.zoneId}}return null},t.IPv4.isIPv4=t.IPv6.isIPv6=function(r){return null!==this.parser(r)},t.IPv4.isValid=function(r){try{return new this(this.parser(r)),!0}catch(r){return r,!1}},t.IPv4.isValidFourPartDecimal=function(r){return!(!t.IPv4.isValid(r)||!r.match(/^(0|[1-9]\d*)(\.(0|[1-9]\d*)){3}$/))},t.IPv6.isValid=function(r){var t;if("string"==typeof r&&-1===r.indexOf(":"))return!1;try{return t=this.parser(r),new this(t.parts,t.zoneId),!0}catch(r){return r,!1}},t.IPv4.parse=function(r){var t;if(null===(t=this.parser(r)))throw new Error("ipaddr: string is not formatted like ip address");return new this(t)},t.IPv6.parse=function(r){var t;if(null===(t=this.parser(r)).parts)throw new Error("ipaddr: string is not formatted like ip address");return new this(t.parts,t.zoneId)},t.IPv4.parseCIDR=function(r){var t,n,e;if((n=r.match(/^(.+)\/(\d+)$/))&&(t=parseInt(n[2]))>=0&&t<=32)return e=[this.parse(n[1]),t],Object.defineProperty(e,"toString",{value:function(){return this.join("/")}}),e;throw new Error("ipaddr: string is not formatted like an IPv4 CIDR range")},t.IPv4.subnetMaskFromPrefixLength=function(r){var t,n,e;if((r=parseInt(r))<0||r>32)throw new Error("ipaddr: invalid IPv4 prefix length");for(e=[0,0,0,0],n=0,t=Math.floor(r/8);n<t;)e[n]=255,n++;return t<4&&(e[t]=Math.pow(2,r%8)-1<<8-r%8),new this(e)},t.IPv4.broadcastAddressFromCIDR=function(r){var t,n,e,i,o;try{for(e=(t=this.parseCIDR(r))[0].toByteArray(),o=this.subnetMaskFromPrefixLength(t[1]).toByteArray(),i=[],n=0;n<4;)i.push(parseInt(e[n],10)|255^parseInt(o[n],10)),n++;return new this(i)}catch(r){throw r,new Error("ipaddr: the address does not have IPv4 CIDR format")}},t.IPv4.networkAddressFromCIDR=function(r){var t,n,e,i,o;try{for(e=(t=this.parseCIDR(r))[0].toByteArray(),o=this.subnetMaskFromPrefixLength(t[1]).toByteArray(),i=[],n=0;n<4;)i.push(parseInt(e[n],10)&parseInt(o[n],10)),n++;return new this(i)}catch(r){throw r,new Error("ipaddr: the address does not have IPv4 CIDR format")}},t.IPv6.parseCIDR=function(r){var t,n,e;if((n=r.match(/^(.+)\/(\d+)$/))&&(t=parseInt(n[2]))>=0&&t<=128)return e=[this.parse(n[1]),t],Object.defineProperty(e,"toString",{value:function(){return this.join("/")}}),e;throw new Error("ipaddr: string is not formatted like an IPv6 CIDR range")},t.isValid=function(r){return t.IPv6.isValid(r)||t.IPv4.isValid(r)},t.parse=function(r){if(t.IPv6.isValid(r))return t.IPv6.parse(r);if(t.IPv4.isValid(r))return t.IPv4.parse(r);throw new Error("ipaddr: the address has neither IPv6 nor IPv4 format")},t.parseCIDR=function(r){try{return t.IPv6.parseCIDR(r)}catch(n){n;try{return t.IPv4.parseCIDR(r)}catch(r){throw r,new Error("ipaddr: the address has neither IPv6 nor IPv4 CIDR format")}}},t.fromByteArray=function(r){var n;if(4===(n=r.length))return new t.IPv4(r);if(16===n)return new t.IPv6(r);throw new Error("ipaddr: the binary input is neither an IPv6 nor IPv4 address")},t.process=function(r){var t;return t=this.parse(r),"ipv6"===t.kind()&&t.isIPv4MappedAddress()?t.toIPv4Address():t}}).call(this);
\ No newline at end of file
diff --git a/spaces/fffiloni/controlnet-animation-doodle/node_modules/unpipe/README.md b/spaces/fffiloni/controlnet-animation-doodle/node_modules/unpipe/README.md
deleted file mode 100644
index e536ad2c045bba26e9d1f93202a44833656adfad..0000000000000000000000000000000000000000
--- a/spaces/fffiloni/controlnet-animation-doodle/node_modules/unpipe/README.md
+++ /dev/null
@@ -1,43 +0,0 @@
-# unpipe
-
-[![NPM Version][npm-image]][npm-url]
-[![NPM Downloads][downloads-image]][downloads-url]
-[![Node.js Version][node-image]][node-url]
-[![Build Status][travis-image]][travis-url]
-[![Test Coverage][coveralls-image]][coveralls-url]
-
-Unpipe a stream from all destinations.
-
-## Installation
-
-```sh
-$ npm install unpipe
-```
-
-## API
-
-```js
-var unpipe = require('unpipe')
-```
-
-### unpipe(stream)
-
-Unpipes all destinations from a given stream. With stream 2+, this is
-equivalent to `stream.unpipe()`. When used with streams 1 style streams
-(typically Node.js 0.8 and below), this module attempts to undo the
-actions done in `stream.pipe(dest)`.
-
-## License
-
-[MIT](LICENSE)
-
-[npm-image]: https://img.shields.io/npm/v/unpipe.svg
-[npm-url]: https://npmjs.org/package/unpipe
-[node-image]: https://img.shields.io/node/v/unpipe.svg
-[node-url]: http://nodejs.org/download/
-[travis-image]: https://img.shields.io/travis/stream-utils/unpipe.svg
-[travis-url]: https://travis-ci.org/stream-utils/unpipe
-[coveralls-image]: https://img.shields.io/coveralls/stream-utils/unpipe.svg
-[coveralls-url]: https://coveralls.io/r/stream-utils/unpipe?branch=master
-[downloads-image]: https://img.shields.io/npm/dm/unpipe.svg
-[downloads-url]: https://npmjs.org/package/unpipe
diff --git a/spaces/fffiloni/lama-video-watermark-remover/saicinpainting/training/data/__init__.py b/spaces/fffiloni/lama-video-watermark-remover/saicinpainting/training/data/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/spaces/filehost/txt/file_menu.py b/spaces/filehost/txt/file_menu.py
deleted file mode 100644
index 6bd2f5877aeada746ffc90442eb062d4952479bd..0000000000000000000000000000000000000000
--- a/spaces/filehost/txt/file_menu.py
+++ /dev/null
@@ -1,61 +0,0 @@
-from tkinter import *
-from tkinter.filedialog import *
-from tkinter.messagebox import *
-import sys
-
-
-class File():
-    def newFile(self):
-        self.filename = "Untitled"
-        self.text.delete(0.0, END)
-
-    def saveFile(self):
-        try:
-            t = self.text.get(0.0, END)
-            f = open(self.filename, 'w')
-            f.write(t)
-            f.close()
-        except:
-            self.saveAs()
-
-    def saveAs(self):
-        f = asksaveasfile(mode='w', defaultextension='.txt')
-        t = self.text.get(0.0, END)
-        try:
-            f.write(t.rstrip())
-        except:
-            showerror(title="Oops!", message="Unable to save file...")
-
-    def openFile(self):
-        f = askopenfile(mode='r')
-        self.filename = f.name
-        t = f.read()
-        self.text.delete(0.0, END)
-        self.text.insert(0.0, t)
-
-    def quit(self):
-        entry = askyesno(title="Quit", message="Are you sure you want to quit?")
-        if entry == True:
-            self.root.destroy()
-
-    def __init__(self, text, root):
-        self.filename = None
-        self.text = text
-        self.root = root
-
-
-def main(root, text, menubar):
-    filemenu = Menu(menubar)
-    objFile = File(text, root)
-    filemenu.add_command(label="New", command=objFile.newFile)
-    filemenu.add_command(label="Open", command=objFile.openFile)
-    filemenu.add_command(label="Save", command=objFile.saveFile)
-    filemenu.add_command(label="Save As...", command=objFile.saveAs)
-    filemenu.add_separator()
-    filemenu.add_command(label="Quit", command=objFile.quit)
-    menubar.add_cascade(label="File", menu=filemenu)
-    root.config(menu=menubar)
-
-
-if __name__ == "__main__":
-    print("Please run 'main.py'")
\ No newline at end of file
diff --git a/spaces/florim/MedGPT/ui/api.py b/spaces/florim/MedGPT/ui/api.py
deleted file mode 100644
index 3b46ad32148b23f06c6eb64c88708fc2bf92e4dc..0000000000000000000000000000000000000000
--- a/spaces/florim/MedGPT/ui/api.py
+++ /dev/null
@@ -1,146 +0,0 @@
-import os, sys
-import utils
-import uuid
-import json
-import subprocess, threading
-
-FILE_DIR = os.path.dirname(os.path.abspath(__file__))
-REPO_DIR = os.path.dirname(FILE_DIR)
-STATE_DIR = os.path.join(FILE_DIR, "state") 
-sys.path.append(REPO_DIR)
-if not os.path.exists(STATE_DIR):
-    os.mkdir(STATE_DIR)
-import time
-
-
-def get_openai_api_key():
-    return os.getenv("OPENAI_API_KEY")
-
-
-running_apis = []
-
-
-def get_state(state_file):
-    with open(state_file, "r") as f:
-        state = json.load(f)
-    return state
-
-
-def set_state(state_file, state):
-    with open(state_file, "w") as f:
-        json.dump(state, f)
-
-
-class AutoAPI:
-    def __init__(self, openai_key, ai_name, ai_role, top_5_goals):
-        self.openai_key = openai_key
-        hex = uuid.uuid4().hex
-        print(hex)
-        self.state_file = os.path.join(STATE_DIR, f"state_{hex}.json")
-        self.log_file = os.path.join(STATE_DIR, f"log_{hex}.json")
-
-        newline = "\n"
-        with open(os.path.join(REPO_DIR, "ai_settings.yaml"), "w") as f:
-            f.write(
-                f"""ai_goals:
-{newline.join([f'- {goal[0]}' for goal in top_5_goals if goal[0]])}
-ai_name: {ai_name}
-ai_role: {ai_role}
-"""
-            )
-        state = {
-            "pending_input": None,
-            "awaiting_input": False,
-            "messages": [],
-            "last_message_read_index": -1,
-        }
-        set_state(self.state_file, state)
-
-        with open(self.log_file, "w") as f:
-            subprocess.Popen(
-                [
-                    "python",
-                    os.path.join(REPO_DIR, "ui", "api.py"),
-                    openai_key,
-                    self.state_file,
-                ],
-                cwd=REPO_DIR,
-                stdout=f,
-                stderr=f,
-            )
-
-    def send_message(self, message="Y"):
-        state = get_state(self.state_file)
-        state["pending_input"] = message
-        state["awaiting_input"] = False
-        set_state(self.state_file, state)
-
-    def get_chatbot_response(self):
-        while True:
-            state = get_state(self.state_file)
-            if (
-                state["awaiting_input"]
-                and state["last_message_read_index"] >= len(state["messages"]) - 1
-            ):
-                break
-            if state["last_message_read_index"] >= len(state["messages"]) - 1:
-                time.sleep(1)
-            else:
-                state["last_message_read_index"] += 1
-                title, content = state["messages"][state["last_message_read_index"]]
-                yield (f"**{title.strip()}** " if title else "") + utils.remove_color(
-                    content
-                ).replace("\n", "<br />")
-                set_state(self.state_file, state)
-
-
-if __name__ == "__main__":
-    print(sys.argv)
-    _, openai_key, state_file = sys.argv
-    os.environ["OPENAI_API_KEY"] = openai_key
-    import autogpt.config.config
-    from autogpt.logs import logger
-    from autogpt.cli import main
-    import autogpt.utils
-    from autogpt.spinner import Spinner
-
-    def add_message(title, content):
-        state = get_state(state_file)
-        state["messages"].append((title, content))
-        set_state(state_file, state)
-
-    def typewriter_log(title="", title_color="", content="", *args, **kwargs):
-        add_message(title, content)
-
-    def warn(message, title="", *args, **kwargs):
-        add_message(title, message)
-
-    def error(title, message="", *args, **kwargs):
-        add_message(title, message)
-
-    def clean_input(prompt=""):
-        add_message(None, prompt)
-        state = get_state(state_file)
-        state["awaiting_input"] = True
-        set_state(state_file, state)
-        while state["pending_input"] is None:
-            state = get_state(state_file)
-            print("Waiting for input...")
-            time.sleep(1)
-        print("Got input")
-        pending_input = state["pending_input"]
-        state["pending_input"] = None
-        set_state(state_file, state)
-        return pending_input
-
-    def spinner_start():
-        add_message(None, "Thinking...")
-
-    logger.typewriter_log = typewriter_log
-    logger.warn = warn
-    logger.error = error
-    autogpt.utils.clean_input = clean_input
-    Spinner.spin = spinner_start
-
-    sys.argv = sys.argv[:1]
-    main()
diff --git a/spaces/frncscp/bullerengue/musika/musika_test.py b/spaces/frncscp/bullerengue/musika/musika_test.py
deleted file mode 100644
index c1c0fad93f091b97cc0868ee4d72ee380b985a52..0000000000000000000000000000000000000000
--- a/spaces/frncscp/bullerengue/musika/musika_test.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import os
-
-os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
-
-from parse.parse_test import parse_args
-from models import Models_functions
-from utils import Utils_functions
-
-if __name__ == "__main__":
-
-    # parse args
-    args = parse_args()
-
-    # initialize networks
-    M = Models_functions(args)
-    M.download_networks()
-    models_ls = M.get_networks()
-
-    # test musika
-    U = Utils_functions(args)
-    U.render_gradio(models_ls, train=False)
diff --git a/spaces/gaviego/removebg/README.md b/spaces/gaviego/removebg/README.md
deleted file mode 100644
index 581c245c60a7a9abe2a5180fc33bdade1129000a..0000000000000000000000000000000000000000
--- a/spaces/gaviego/removebg/README.md
+++ /dev/null
@@ -1,15 +0,0 @@
----
-title: Removebg
-emoji: 🖼️
-colorFrom: red
-colorTo: purple
-sdk: gradio
-sdk_version: 3.20.1
-app_file: app.py
-pinned: false
-license: openrail
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
-
-Removes background using DIS
\ No newline at end of file
diff --git a/spaces/geekyrakshit/enhance-me/enhance_me/zero_dce/dataloader.py b/spaces/geekyrakshit/enhance-me/enhance_me/zero_dce/dataloader.py
deleted file mode 100644
index 20c830849ce9542b0007ca8534fbeb58eaf2e96b..0000000000000000000000000000000000000000
--- a/spaces/geekyrakshit/enhance-me/enhance_me/zero_dce/dataloader.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import tensorflow as tf
-from typing import List
-
-from ..commons import read_image
-from ..augmentation import UnpairedAugmentationFactory
-
-
-class UnpairedLowLightDataset:
-    def __init__(
-        self,
-        image_size: int = 256,
-        apply_resize: bool = False,
-        apply_random_horizontal_flip: bool = True,
-        apply_random_vertical_flip: bool = True,
-        apply_random_rotation: bool = True,
-    ) -> None:
-        self.augmentation_factory = UnpairedAugmentationFactory(image_size=image_size)
-        self.image_size = image_size
-        self.apply_resize = apply_resize
-        self.apply_random_horizontal_flip = apply_random_horizontal_flip
-        self.apply_random_vertical_flip = apply_random_vertical_flip
-        self.apply_random_rotation = apply_random_rotation
-
-    def _resize(self, image):
-        return tf.image.resize(image, (self.image_size, self.image_size))
-
-    def _get_dataset(self, images: List[str], batch_size: int, is_train: bool):
-        dataset = tf.data.Dataset.from_tensor_slices((images))
-        dataset = dataset.map(read_image, num_parallel_calls=tf.data.AUTOTUNE)
-        dataset = (
-            dataset.map(
-                self.augmentation_factory.random_crop,
-                num_parallel_calls=tf.data.AUTOTUNE,
-            )
-            if not self.apply_resize
-            else dataset.map(self._resize, num_parallel_calls=tf.data.AUTOTUNE)
-        )
-        if is_train:
-            dataset = (
-                dataset.map(
-                    self.augmentation_factory.random_horizontal_flip,
-                    num_parallel_calls=tf.data.AUTOTUNE,
-                )
-                if self.apply_random_horizontal_flip
-                else dataset
-            )
-            dataset = (
-                dataset.map(
-                    self.augmentation_factory.random_vertical_flip,
-                    num_parallel_calls=tf.data.AUTOTUNE,
-                )
-                if self.apply_random_vertical_flip
-                else dataset
-            )
-            dataset = (
-                dataset.map(
-                    self.augmentation_factory.random_rotate,
-                    num_parallel_calls=tf.data.AUTOTUNE,
-                )
-                if self.apply_random_rotation
-                else dataset
-            )
-        dataset = dataset.batch(batch_size, drop_remainder=True)
-        return dataset
-
-    def get_datasets(
-        self,
-        images: List[str],
-        val_split: float = 0.2,
-        batch_size: int = 16,
-    ):
-        split_index = int(len(images) * (1 - val_split))
-        train_images = images[:split_index]
-        val_images = images[split_index:]
-        print(f"Number of train data points: {len(train_images)}")
-        print(f"Number of validation data points: {len(val_images)}")
-        train_dataset = self._get_dataset(train_images, batch_size, is_train=True)
-        val_dataset = self._get_dataset(val_images, batch_size, is_train=False)
-        return train_dataset, val_dataset
diff --git a/spaces/georgefen/Face-Landmark-ControlNet/annotator/uniformer/mmcv/parallel/distributed.py b/spaces/georgefen/Face-Landmark-ControlNet/annotator/uniformer/mmcv/parallel/distributed.py
deleted file mode 100644
index 1e4c27903db58a54d37ea1ed9ec0104098b486f2..0000000000000000000000000000000000000000
--- a/spaces/georgefen/Face-Landmark-ControlNet/annotator/uniformer/mmcv/parallel/distributed.py
+++ /dev/null
@@ -1,112 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-import torch
-from torch.nn.parallel.distributed import (DistributedDataParallel,
-                                           _find_tensors)
-
-from annotator.uniformer.mmcv import print_log
-from annotator.uniformer.mmcv.utils import TORCH_VERSION, digit_version
-from .scatter_gather import scatter_kwargs
-
-
-class MMDistributedDataParallel(DistributedDataParallel):
-    """The DDP module that supports DataContainer.
-
-    MMDDP has two main differences with PyTorch DDP:
-
-    - It supports a custom type :class:`DataContainer` which allows more
-      flexible control of input data.
-    - It implement two APIs ``train_step()`` and ``val_step()``.
-    """
-
-    def to_kwargs(self, inputs, kwargs, device_id):
-        # Use `self.to_kwargs` instead of `self.scatter` in pytorch1.8
-        # to move all tensors to device_id
-        return scatter_kwargs(inputs, kwargs, [device_id], dim=self.dim)
-
-    def scatter(self, inputs, kwargs, device_ids):
-        return scatter_kwargs(inputs, kwargs, device_ids, dim=self.dim)
-
-    def train_step(self, *inputs, **kwargs):
-        """train_step() API for module wrapped by DistributedDataParallel.
-
-        This method is basically the same as
-        ``DistributedDataParallel.forward()``, while replacing
-        ``self.module.forward()`` with ``self.module.train_step()``.
-        It is compatible with PyTorch 1.1 - 1.5.
-        """
-
-        # In PyTorch >= 1.7, ``reducer._rebuild_buckets()`` is moved from the
-        # end of backward to the beginning of forward.
-        if ('parrots' not in TORCH_VERSION
-                and digit_version(TORCH_VERSION) >= digit_version('1.7')
-                and self.reducer._rebuild_buckets()):
-            print_log(
-                'Reducer buckets have been rebuilt in this iteration.',
-                logger='mmcv')
-
-        if getattr(self, 'require_forward_param_sync', True):
-            self._sync_params()
-        if self.device_ids:
-            inputs, kwargs = self.scatter(inputs, kwargs, self.device_ids)
-            if len(self.device_ids) == 1:
-                output = self.module.train_step(*inputs[0], **kwargs[0])
-            else:
-                outputs = self.parallel_apply(
-                    self._module_copies[:len(inputs)], inputs, kwargs)
-                output = self.gather(outputs, self.output_device)
-        else:
-            output = self.module.train_step(*inputs, **kwargs)
-
-        if torch.is_grad_enabled() and getattr(
-                self, 'require_backward_grad_sync', True):
-            if self.find_unused_parameters:
-                self.reducer.prepare_for_backward(list(_find_tensors(output)))
-            else:
-                self.reducer.prepare_for_backward([])
-        else:
-            if ('parrots' not in TORCH_VERSION
-                    and digit_version(TORCH_VERSION) > digit_version('1.2')):
-                self.require_forward_param_sync = False
-        return output
-
-    def val_step(self, *inputs, **kwargs):
-        """val_step() API for module wrapped by DistributedDataParallel.
-
-        This method is basically the same as
-        ``DistributedDataParallel.forward()``, while replacing
-        ``self.module.forward()`` with ``self.module.val_step()``.
-        It is compatible with PyTorch 1.1 - 1.5.
-        """
-        # In PyTorch >= 1.7, ``reducer._rebuild_buckets()`` is moved from the
-        # end of backward to the beginning of forward.
-        if ('parrots' not in TORCH_VERSION
-                and digit_version(TORCH_VERSION) >= digit_version('1.7')
-                and self.reducer._rebuild_buckets()):
-            print_log(
-                'Reducer buckets have been rebuilt in this iteration.',
-                logger='mmcv')
-
-        if getattr(self, 'require_forward_param_sync', True):
-            self._sync_params()
-        if self.device_ids:
-            inputs, kwargs = self.scatter(inputs, kwargs, self.device_ids)
-            if len(self.device_ids) == 1:
-                output = self.module.val_step(*inputs[0], **kwargs[0])
-            else:
-                outputs = self.parallel_apply(
-                    self._module_copies[:len(inputs)], inputs, kwargs)
-                output = self.gather(outputs, self.output_device)
-        else:
-            output = self.module.val_step(*inputs, **kwargs)
-
-        if torch.is_grad_enabled() and getattr(
-                self, 'require_backward_grad_sync', True):
-            if self.find_unused_parameters:
-                self.reducer.prepare_for_backward(list(_find_tensors(output)))
-            else:
-                self.reducer.prepare_for_backward([])
-        else:
-            if ('parrots' not in TORCH_VERSION
-                    and digit_version(TORCH_VERSION) > digit_version('1.2')):
-                self.require_forward_param_sync = False
-        return output
diff --git a/spaces/georgefen/Face-Landmark-ControlNet/annotator/uniformer/mmcv/utils/testing.py b/spaces/georgefen/Face-Landmark-ControlNet/annotator/uniformer/mmcv/utils/testing.py
deleted file mode 100644
index a27f936da8ec14bac18562ede0a79d476d82f797..0000000000000000000000000000000000000000
--- a/spaces/georgefen/Face-Landmark-ControlNet/annotator/uniformer/mmcv/utils/testing.py
+++ /dev/null
@@ -1,140 +0,0 @@
-# Copyright (c) Open-MMLab.
-import sys
-from collections.abc import Iterable
-from runpy import run_path
-from shlex import split
-from typing import Any, Dict, List
-from unittest.mock import patch
-
-
-def check_python_script(cmd):
-    """Run the python cmd script with `__main__`. The difference between
-    `os.system` is that, this function exectues code in the current process, so
-    that it can be tracked by coverage tools. Currently it supports two forms:
-
-    - ./tests/data/scripts/hello.py zz
-    - python tests/data/scripts/hello.py zz
-    """
-    args = split(cmd)
-    if args[0] == 'python':
-        args = args[1:]
-    with patch.object(sys, 'argv', args):
-        run_path(args[0], run_name='__main__')
-
-
-def _any(judge_result):
-    """Since built-in ``any`` works only when the element of iterable is not
-    iterable, implement the function."""
-    if not isinstance(judge_result, Iterable):
-        return judge_result
-
-    try:
-        for element in judge_result:
-            if _any(element):
-                return True
-    except TypeError:
-        # Maybe encounter the case: torch.tensor(True) | torch.tensor(False)
-        if judge_result:
-            return True
-    return False
-
-
-def assert_dict_contains_subset(dict_obj: Dict[Any, Any],
-                                expected_subset: Dict[Any, Any]) -> bool:
-    """Check if the dict_obj contains the expected_subset.
-
-    Args:
-        dict_obj (Dict[Any, Any]): Dict object to be checked.
-        expected_subset (Dict[Any, Any]): Subset expected to be contained in
-            dict_obj.
-
-    Returns:
-        bool: Whether the dict_obj contains the expected_subset.
-    """
-
-    for key, value in expected_subset.items():
-        if key not in dict_obj.keys() or _any(dict_obj[key] != value):
-            return False
-    return True
-
-
-def assert_attrs_equal(obj: Any, expected_attrs: Dict[str, Any]) -> bool:
-    """Check if attribute of class object is correct.
-
-    Args:
-        obj (object): Class object to be checked.
-        expected_attrs (Dict[str, Any]): Dict of the expected attrs.
-
-    Returns:
-        bool: Whether the attribute of class object is correct.
-    """
-    for attr, value in expected_attrs.items():
-        if not hasattr(obj, attr) or _any(getattr(obj, attr) != value):
-            return False
-    return True
-
-
-def assert_dict_has_keys(obj: Dict[str, Any],
-                         expected_keys: List[str]) -> bool:
-    """Check if the obj has all the expected_keys.
-
-    Args:
-        obj (Dict[str, Any]): Object to be checked.
-        expected_keys (List[str]): Keys expected to contained in the keys of
-            the obj.
-
-    Returns:
-        bool: Whether the obj has the expected keys.
-    """
-    return set(expected_keys).issubset(set(obj.keys()))
-
-
-def assert_keys_equal(result_keys: List[str], target_keys: List[str]) -> bool:
-    """Check if target_keys is equal to result_keys.
-
-    Args:
-        result_keys (List[str]): Result keys to be checked.
-        target_keys (List[str]): Target keys to be checked.
-
-    Returns:
-        bool: Whether target_keys is equal to result_keys.
-    """
-    return set(result_keys) == set(target_keys)
-
-
-def assert_is_norm_layer(module) -> bool:
-    """Check if the module is a norm layer.
-
-    Args:
-        module (nn.Module): The module to be checked.
-
-    Returns:
-        bool: Whether the module is a norm layer.
-    """
-    from .parrots_wrapper import _BatchNorm, _InstanceNorm
-    from torch.nn import GroupNorm, LayerNorm
-    norm_layer_candidates = (_BatchNorm, _InstanceNorm, GroupNorm, LayerNorm)
-    return isinstance(module, norm_layer_candidates)
-
-
-def assert_params_all_zeros(module) -> bool:
-    """Check if the parameters of the module is all zeros.
-
-    Args:
-        module (nn.Module): The module to be checked.
-
-    Returns:
-        bool: Whether the parameters of the module is all zeros.
-    """
-    weight_data = module.weight.data
-    is_weight_zero = weight_data.allclose(
-        weight_data.new_zeros(weight_data.size()))
-
-    if hasattr(module, 'bias') and module.bias is not None:
-        bias_data = module.bias.data
-        is_bias_zero = bias_data.allclose(
-            bias_data.new_zeros(bias_data.size()))
-    else:
-        is_bias_zero = True
-
-    return is_weight_zero and is_bias_zero
diff --git a/spaces/gotiQspiryo/whisper-ui/examples/Download 2021 Komik Hai Miiko Indonesia.md b/spaces/gotiQspiryo/whisper-ui/examples/Download 2021 Komik Hai Miiko Indonesia.md
deleted file mode 100644
index f2e424929a3f791bc0ed45f6c7bd3a607885539e..0000000000000000000000000000000000000000
--- a/spaces/gotiQspiryo/whisper-ui/examples/Download 2021 Komik Hai Miiko Indonesia.md	
+++ /dev/null
@@ -1,10 +0,0 @@
-
-<p>It was easy to upload your files. But, where do I upload my files? The first thing youll want to do is to go and make your account. Once you have an account, youll be able to download, edit and delete your files. You can also download a tutorial video in Flash.</p>
-<h2>Download Komik Hai Miiko Indonesia</h2><br /><p><b><b>Download File</b> &rArr; <a href="https://urlgoal.com/2uyNfT">https://urlgoal.com/2uyNfT</a></b></p><br /><br />
-<p>There are many sites that provide such content. But, this is the best because it is a secure site that keeps your passwords and credit card information safe. You have to create your own password so that you ll keep it safe from thieves. Once you log in, youll be able to download your files for free. </p>
-<p>You can have your files as soon as you make an account or wait until the next day. You can add different files with different files that are the same except for your file. You can have all of your files together. You can not only download your files but you can also delete them too. You have to do it manually. You have to log in and you have to click on the file and then it will appear on your computer. You ll have to save it and then start downloading it. </p>
-<p>Komikhai delivers to you a lot of information and value for your download time. If you are looking for the most trusted and most popular software online, you have found it. They have a lot of different types of products that you can choose from. They provide various products like the windows media player, the Nero software, and others.</p>
-<p></p>
-<p>You ll have to register in order to use their site. This is just a requirement but it s still very easy to understand. The first thing that you ll notice is that you ll need a credit card when you make an account. You will also need to input an email address and your password. This will ensure the safety of your credit card and your personal information. You ll also need to download software to make your account. You have to download a free program called a FTP client. This is the software that you ll need in order to upload your files to the site. <br /> </p> 899543212b<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/gotiQspiryo/whisper-ui/examples/Download Tema E63 Full Icon Iphone      iOS  .md b/spaces/gotiQspiryo/whisper-ui/examples/Download Tema E63 Full Icon Iphone      iOS  .md
deleted file mode 100644
index b818c0434db7e397a15a1b1d29a9eefebee880df..0000000000000000000000000000000000000000
--- a/spaces/gotiQspiryo/whisper-ui/examples/Download Tema E63 Full Icon Iphone      iOS  .md	
+++ /dev/null
@@ -1,6 +0,0 @@
-<h2>Download Tema E63 Full Icon Iphone</h2><br /><p><b><b>Download Zip</b> &bull; <a href="https://urlgoal.com/2uyMec">https://urlgoal.com/2uyMec</a></b></p><br /><br />
-
- aaccfb2cb3<br />
-<br />
-<br />
-<p></p>
diff --git a/spaces/gotiQspiryo/whisper-ui/examples/English Dil Chahta Hai Movie Download Bluray Hindi Movies How to Enjoy the Bollywood Hit.md b/spaces/gotiQspiryo/whisper-ui/examples/English Dil Chahta Hai Movie Download Bluray Hindi Movies How to Enjoy the Bollywood Hit.md
deleted file mode 100644
index 07aed521bba08d823f94e3391285a81fc9ca7c05..0000000000000000000000000000000000000000
--- a/spaces/gotiQspiryo/whisper-ui/examples/English Dil Chahta Hai Movie Download Bluray Hindi Movies How to Enjoy the Bollywood Hit.md	
+++ /dev/null
@@ -1,6 +0,0 @@
-<h2>English Dil Chahta Hai Movie Download Bluray Hindi Movies</h2><br /><p><b><b>DOWNLOAD</b> &#127383; <a href="https://urlgoal.com/2uyMLL">https://urlgoal.com/2uyMLL</a></b></p><br /><br />
-
- aaccfb2cb3<br />
-<br />
-<br />
-<p></p>
diff --git a/spaces/gradio-discord-bots/llama-2-13b-chat-transformers/USE_POLICY.md b/spaces/gradio-discord-bots/llama-2-13b-chat-transformers/USE_POLICY.md
deleted file mode 100644
index abbcc199b2d1e4feb5d7e40c0bd67e1b0ce29e97..0000000000000000000000000000000000000000
--- a/spaces/gradio-discord-bots/llama-2-13b-chat-transformers/USE_POLICY.md
+++ /dev/null
@@ -1,50 +0,0 @@
-# Llama 2 Acceptable Use Policy
-
-Meta is committed to promoting safe and fair use of its tools and features, including Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).
-
-## Prohibited Uses
-We want everyone to use Llama 2 safely and responsibly. You agree you will not use, or allow others to use, Llama 2 to: 
-
-1. Violate the law or others’ rights, including to:
-    1. Engage in, promote, generate, contribute to, encourage, plan, incite, or further illegal or unlawful activity or content, such as: 
-        1. Violence or terrorism 
-        2. Exploitation or harm to children, including the solicitation, creation, acquisition, or dissemination of child exploitative content or failure to report Child Sexual Abuse Material
-        3. Human trafficking, exploitation, and sexual violence
-        4. The illegal distribution of information or materials to minors, including obscene materials, or failure to employ legally required age-gating in connection with such information or materials.
-        5. Sexual solicitation
-        6. Any other criminal activity
-    2. Engage in, promote, incite, or facilitate the harassment, abuse, threatening, or bullying of individuals or groups of individuals
-    3. Engage in, promote, incite, or facilitate discrimination or other unlawful or harmful conduct in the provision of employment, employment benefits, credit, housing, other economic benefits, or other essential goods and services
-    4. Engage in the unauthorized or unlicensed practice of any profession including, but not limited to, financial, legal, medical/health, or related professional practices 
-    5. Collect, process, disclose, generate, or infer health, demographic, or other sensitive personal or private information about individuals without rights and consents required by applicable laws
-    6. Engage in or facilitate any action or generate any content that infringes, misappropriates, or otherwise violates any third-party rights, including the outputs or results of any products or services using the Llama 2 Materials
-    7. Create, generate, or facilitate the creation of malicious code, malware, computer viruses or do anything else that could disable, overburden, interfere with or impair the proper working, integrity, operation or appearance of a website or computer system 
-
-
-
-2. Engage in, promote, incite, facilitate, or assist in the planning or development of activities that present a risk of death or bodily harm to individuals, including use of Llama 2 related to the following:
-    1. Military, warfare, nuclear industries or applications, espionage, use for materials or activities that are subject to the International Traffic Arms Regulations (ITAR) maintained by the United States Department of State
-    2. Guns and illegal weapons (including weapon development)
-    3. Illegal drugs and regulated/controlled substances
-    4. Operation of critical infrastructure, transportation technologies, or heavy machinery
-    5. Self-harm or harm to others, including suicide, cutting, and eating disorders
-    6. Any content intended to incite or promote violence, abuse, or any infliction of bodily harm to an individual
-
-
-
-3. Intentionally deceive or mislead others, including use of Llama 2 related to the following:
-    1. Generating, promoting, or furthering fraud or the creation or promotion of disinformation
-    2. Generating, promoting, or furthering defamatory content, including the creation of defamatory statements, images, or other content
-    3. Generating, promoting, or further distributing spam
-    4. Impersonating another individual without consent, authorization, or legal right
-    5. Representing that the use of Llama 2 or outputs are human-generated
-    6. Generating or facilitating false online engagement, including fake reviews and other means of fake online engagement 
-4. Fail to appropriately disclose to end users any known dangers of your AI system 
-
-Please report any violation of this Policy, software “bug,” or other problems that could lead to a violation of this Policy through one of the following means:
-
-* Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)
-* Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)
-* Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
-* Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama: [LlamaUseReport@meta.com](mailto:LlamaUseReport@meta.com)
-
diff --git a/spaces/gradio/hello_login/README.md b/spaces/gradio/hello_login/README.md
deleted file mode 100644
index 2889b17e5f32b7781cc03b15120d6eba302b0b75..0000000000000000000000000000000000000000
--- a/spaces/gradio/hello_login/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
-
----
-title: hello_login 
-emoji: 🔥
-colorFrom: indigo
-colorTo: indigo
-sdk: gradio
-sdk_version: 4.1.2
-app_file: run.py
-pinned: false
-hf_oauth: true
----
diff --git a/spaces/gwang-kim/DATID-3D/eg3d/torch_utils/ops/bias_act.h b/spaces/gwang-kim/DATID-3D/eg3d/torch_utils/ops/bias_act.h
deleted file mode 100644
index 8994bfb4e9cae790865348e08de5f685152d3344..0000000000000000000000000000000000000000
--- a/spaces/gwang-kim/DATID-3D/eg3d/torch_utils/ops/bias_act.h
+++ /dev/null
@@ -1,42 +0,0 @@
-/*
- * SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
- * SPDX-License-Identifier: LicenseRef-NvidiaProprietary
- *
- * NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
- * property and proprietary rights in and to this material, related
- * documentation and any modifications thereto. Any use, reproduction,
- * disclosure or distribution of this material and related documentation
- * without an express license agreement from NVIDIA CORPORATION or
- * its affiliates is strictly prohibited.
- */
-
-//------------------------------------------------------------------------
-// CUDA kernel parameters.
-
-struct bias_act_kernel_params
-{
-    const void* x;      // [sizeX]
-    const void* b;      // [sizeB] or NULL
-    const void* xref;   // [sizeX] or NULL
-    const void* yref;   // [sizeX] or NULL
-    const void* dy;     // [sizeX] or NULL
-    void*       y;      // [sizeX]
-
-    int         grad;
-    int         act;
-    float       alpha;
-    float       gain;
-    float       clamp;
-
-    int         sizeX;
-    int         sizeB;
-    int         stepB;
-    int         loopX;
-};
-
-//------------------------------------------------------------------------
-// CUDA kernel selection.
-
-template <class T> void* choose_bias_act_kernel(const bias_act_kernel_params& p);
-
-//------------------------------------------------------------------------
diff --git a/spaces/gyugnsu/DragGan-Inversion/PTI/editings/ganspace.py b/spaces/gyugnsu/DragGan-Inversion/PTI/editings/ganspace.py
deleted file mode 100644
index ee1e28c76de89f690e563902def42e3738dc677f..0000000000000000000000000000000000000000
--- a/spaces/gyugnsu/DragGan-Inversion/PTI/editings/ganspace.py
+++ /dev/null
@@ -1,21 +0,0 @@
-import torch
-
-
-def edit(latents, pca, edit_directions):
-    edit_latents = []
-    for latent in latents:
-        for pca_idx, start, end, strength in edit_directions:
-            delta = get_delta(pca, latent, pca_idx, strength)
-            delta_padded = torch.zeros(latent.shape).to('cuda')
-            delta_padded[start:end] += delta.repeat(end - start, 1)
-            edit_latents.append(latent + delta_padded)
-    return torch.stack(edit_latents)
-
-
-def get_delta(pca, latent, idx, strength):
-    w_centered = latent - pca['mean'].to('cuda')
-    lat_comp = pca['comp'].to('cuda')
-    lat_std = pca['std'].to('cuda')
-    w_coord = torch.sum(w_centered[0].reshape(-1)*lat_comp[idx].reshape(-1)) / lat_std[idx]
-    delta = (strength - w_coord)*lat_comp[idx]*lat_std[idx]
-    return delta
diff --git a/spaces/hanstyle/tts/face_detection/detection/sfd/bbox.py b/spaces/hanstyle/tts/face_detection/detection/sfd/bbox.py
deleted file mode 100644
index 4bd7222e5e5f78a51944cbeed3cccbacddc46bed..0000000000000000000000000000000000000000
--- a/spaces/hanstyle/tts/face_detection/detection/sfd/bbox.py
+++ /dev/null
@@ -1,129 +0,0 @@
-from __future__ import print_function
-import os
-import sys
-import cv2
-import random
-import datetime
-import time
-import math
-import argparse
-import numpy as np
-import torch
-
-try:
-    from iou import IOU
-except BaseException:
-    # IOU cython speedup 10x
-    def IOU(ax1, ay1, ax2, ay2, bx1, by1, bx2, by2):
-        sa = abs((ax2 - ax1) * (ay2 - ay1))
-        sb = abs((bx2 - bx1) * (by2 - by1))
-        x1, y1 = max(ax1, bx1), max(ay1, by1)
-        x2, y2 = min(ax2, bx2), min(ay2, by2)
-        w = x2 - x1
-        h = y2 - y1
-        if w < 0 or h < 0:
-            return 0.0
-        else:
-            return 1.0 * w * h / (sa + sb - w * h)
-
-
-def bboxlog(x1, y1, x2, y2, axc, ayc, aww, ahh):
-    xc, yc, ww, hh = (x2 + x1) / 2, (y2 + y1) / 2, x2 - x1, y2 - y1
-    dx, dy = (xc - axc) / aww, (yc - ayc) / ahh
-    dw, dh = math.log(ww / aww), math.log(hh / ahh)
-    return dx, dy, dw, dh
-
-
-def bboxloginv(dx, dy, dw, dh, axc, ayc, aww, ahh):
-    xc, yc = dx * aww + axc, dy * ahh + ayc
-    ww, hh = math.exp(dw) * aww, math.exp(dh) * ahh
-    x1, x2, y1, y2 = xc - ww / 2, xc + ww / 2, yc - hh / 2, yc + hh / 2
-    return x1, y1, x2, y2
-
-
-def nms(dets, thresh):
-    if 0 == len(dets):
-        return []
-    x1, y1, x2, y2, scores = dets[:, 0], dets[:, 1], dets[:, 2], dets[:, 3], dets[:, 4]
-    areas = (x2 - x1 + 1) * (y2 - y1 + 1)
-    order = scores.argsort()[::-1]
-
-    keep = []
-    while order.size > 0:
-        i = order[0]
-        keep.append(i)
-        xx1, yy1 = np.maximum(x1[i], x1[order[1:]]), np.maximum(y1[i], y1[order[1:]])
-        xx2, yy2 = np.minimum(x2[i], x2[order[1:]]), np.minimum(y2[i], y2[order[1:]])
-
-        w, h = np.maximum(0.0, xx2 - xx1 + 1), np.maximum(0.0, yy2 - yy1 + 1)
-        ovr = w * h / (areas[i] + areas[order[1:]] - w * h)
-
-        inds = np.where(ovr <= thresh)[0]
-        order = order[inds + 1]
-
-    return keep
-
-
-def encode(matched, priors, variances):
-    """Encode the variances from the priorbox layers into the ground truth boxes
-    we have matched (based on jaccard overlap) with the prior boxes.
-    Args:
-        matched: (tensor) Coords of ground truth for each prior in point-form
-            Shape: [num_priors, 4].
-        priors: (tensor) Prior boxes in center-offset form
-            Shape: [num_priors,4].
-        variances: (list[float]) Variances of priorboxes
-    Return:
-        encoded boxes (tensor), Shape: [num_priors, 4]
-    """
-
-    # dist b/t match center and prior's center
-    g_cxcy = (matched[:, :2] + matched[:, 2:]) / 2 - priors[:, :2]
-    # encode variance
-    g_cxcy /= (variances[0] * priors[:, 2:])
-    # match wh / prior wh
-    g_wh = (matched[:, 2:] - matched[:, :2]) / priors[:, 2:]
-    g_wh = torch.log(g_wh) / variances[1]
-    # return target for smooth_l1_loss
-    return torch.cat([g_cxcy, g_wh], 1)  # [num_priors,4]
-
-
-def decode(loc, priors, variances):
-    """Decode locations from predictions using priors to undo
-    the encoding we did for offset regression at train time.
-    Args:
-        loc (tensor): location predictions for loc layers,
-            Shape: [num_priors,4]
-        priors (tensor): Prior boxes in center-offset form.
-            Shape: [num_priors,4].
-        variances: (list[float]) Variances of priorboxes
-    Return:
-        decoded bounding box predictions
-    """
-
-    boxes = torch.cat((
-        priors[:, :2] + loc[:, :2] * variances[0] * priors[:, 2:],
-        priors[:, 2:] * torch.exp(loc[:, 2:] * variances[1])), 1)
-    boxes[:, :2] -= boxes[:, 2:] / 2
-    boxes[:, 2:] += boxes[:, :2]
-    return boxes
-
-def batch_decode(loc, priors, variances):
-    """Decode locations from predictions using priors to undo
-    the encoding we did for offset regression at train time.
-    Args:
-        loc (tensor): location predictions for loc layers,
-            Shape: [num_priors,4]
-        priors (tensor): Prior boxes in center-offset form.
-            Shape: [num_priors,4].
-        variances: (list[float]) Variances of priorboxes
-    Return:
-        decoded bounding box predictions
-    """
-
-    boxes = torch.cat((
-        priors[:, :, :2] + loc[:, :, :2] * variances[0] * priors[:, :, 2:],
-        priors[:, :, 2:] * torch.exp(loc[:, :, 2:] * variances[1])), 2)
-    boxes[:, :, :2] -= boxes[:, :, 2:] / 2
-    boxes[:, :, 2:] += boxes[:, :, :2]
-    return boxes
diff --git a/spaces/haoqi7/research/lrt/__init__.py b/spaces/haoqi7/research/lrt/__init__.py
deleted file mode 100644
index 63e73f2ed2c7310fe451fe5caf1252d648b68ea9..0000000000000000000000000000000000000000
--- a/spaces/haoqi7/research/lrt/__init__.py
+++ /dev/null
@@ -1,3 +0,0 @@
-from .lrt import LiteratureResearchTool
-from .clustering import Configuration
-from .utils import Article, ArticleList
\ No newline at end of file
diff --git a/spaces/hasibzunair/fifa-tryon-demo/Self-Correction-Human-Parsing-for-ACGPN/mhp_extension/detectron2/detectron2/config/compat.py b/spaces/hasibzunair/fifa-tryon-demo/Self-Correction-Human-Parsing-for-ACGPN/mhp_extension/detectron2/detectron2/config/compat.py
deleted file mode 100644
index 41fe3a00ca05885abf28106808fe7f8d862b5036..0000000000000000000000000000000000000000
--- a/spaces/hasibzunair/fifa-tryon-demo/Self-Correction-Human-Parsing-for-ACGPN/mhp_extension/detectron2/detectron2/config/compat.py
+++ /dev/null
@@ -1,229 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
-"""
-Backward compatibility of configs.
-
-Instructions to bump version:
-+ It's not needed to bump version if new keys are added.
-  It's only needed when backward-incompatible changes happen
-  (i.e., some existing keys disappear, or the meaning of a key changes)
-+ To bump version, do the following:
-    1. Increment _C.VERSION in defaults.py
-    2. Add a converter in this file.
-
-      Each ConverterVX has a function "upgrade" which in-place upgrades config from X-1 to X,
-      and a function "downgrade" which in-place downgrades config from X to X-1
-
-      In each function, VERSION is left unchanged.
-
-      Each converter assumes that its input has the relevant keys
-      (i.e., the input is not a partial config).
-    3. Run the tests (test_config.py) to make sure the upgrade & downgrade
-       functions are consistent.
-"""
-
-import logging
-from typing import List, Optional, Tuple
-
-from .config import CfgNode as CN
-from .defaults import _C
-
-__all__ = ["upgrade_config", "downgrade_config"]
-
-
-def upgrade_config(cfg: CN, to_version: Optional[int] = None) -> CN:
-    """
-    Upgrade a config from its current version to a newer version.
-
-    Args:
-        cfg (CfgNode):
-        to_version (int): defaults to the latest version.
-    """
-    cfg = cfg.clone()
-    if to_version is None:
-        to_version = _C.VERSION
-
-    assert cfg.VERSION <= to_version, "Cannot upgrade from v{} to v{}!".format(
-        cfg.VERSION, to_version
-    )
-    for k in range(cfg.VERSION, to_version):
-        converter = globals()["ConverterV" + str(k + 1)]
-        converter.upgrade(cfg)
-        cfg.VERSION = k + 1
-    return cfg
-
-
-def downgrade_config(cfg: CN, to_version: int) -> CN:
-    """
-    Downgrade a config from its current version to an older version.
-
-    Args:
-        cfg (CfgNode):
-        to_version (int):
-
-    Note:
-        A general downgrade of arbitrary configs is not always possible due to the
-        different functionalities in different versions.
-        The purpose of downgrade is only to recover the defaults in old versions,
-        allowing it to load an old partial yaml config.
-        Therefore, the implementation only needs to fill in the default values
-        in the old version when a general downgrade is not possible.
-    """
-    cfg = cfg.clone()
-    assert cfg.VERSION >= to_version, "Cannot downgrade from v{} to v{}!".format(
-        cfg.VERSION, to_version
-    )
-    for k in range(cfg.VERSION, to_version, -1):
-        converter = globals()["ConverterV" + str(k)]
-        converter.downgrade(cfg)
-        cfg.VERSION = k - 1
-    return cfg
-
-
-def guess_version(cfg: CN, filename: str) -> int:
-    """
-    Guess the version of a partial config where the VERSION field is not specified.
-    Returns the version, or the latest if cannot make a guess.
-
-    This makes it easier for users to migrate.
-    """
-    logger = logging.getLogger(__name__)
-
-    def _has(name: str) -> bool:
-        cur = cfg
-        for n in name.split("."):
-            if n not in cur:
-                return False
-            cur = cur[n]
-        return True
-
-    # Most users' partial configs have "MODEL.WEIGHT", so guess on it
-    ret = None
-    if _has("MODEL.WEIGHT") or _has("TEST.AUG_ON"):
-        ret = 1
-
-    if ret is not None:
-        logger.warning("Config '{}' has no VERSION. Assuming it to be v{}.".format(filename, ret))
-    else:
-        ret = _C.VERSION
-        logger.warning(
-            "Config '{}' has no VERSION. Assuming it to be compatible with latest v{}.".format(
-                filename, ret
-            )
-        )
-    return ret
-
-
-def _rename(cfg: CN, old: str, new: str) -> None:
-    old_keys = old.split(".")
-    new_keys = new.split(".")
-
-    def _set(key_seq: List[str], val: str) -> None:
-        cur = cfg
-        for k in key_seq[:-1]:
-            if k not in cur:
-                cur[k] = CN()
-            cur = cur[k]
-        cur[key_seq[-1]] = val
-
-    def _get(key_seq: List[str]) -> CN:
-        cur = cfg
-        for k in key_seq:
-            cur = cur[k]
-        return cur
-
-    def _del(key_seq: List[str]) -> None:
-        cur = cfg
-        for k in key_seq[:-1]:
-            cur = cur[k]
-        del cur[key_seq[-1]]
-        if len(cur) == 0 and len(key_seq) > 1:
-            _del(key_seq[:-1])
-
-    _set(new_keys, _get(old_keys))
-    _del(old_keys)
-
-
-class _RenameConverter:
-    """
-    A converter that handles simple rename.
-    """
-
-    RENAME: List[Tuple[str, str]] = []  # list of tuples of (old name, new name)
-
-    @classmethod
-    def upgrade(cls, cfg: CN) -> None:
-        for old, new in cls.RENAME:
-            _rename(cfg, old, new)
-
-    @classmethod
-    def downgrade(cls, cfg: CN) -> None:
-        for old, new in cls.RENAME[::-1]:
-            _rename(cfg, new, old)
-
-
-class ConverterV1(_RenameConverter):
-    RENAME = [("MODEL.RPN_HEAD.NAME", "MODEL.RPN.HEAD_NAME")]
-
-
-class ConverterV2(_RenameConverter):
-    """
-    A large bulk of rename, before public release.
-    """
-
-    RENAME = [
-        ("MODEL.WEIGHT", "MODEL.WEIGHTS"),
-        ("MODEL.PANOPTIC_FPN.SEMANTIC_LOSS_SCALE", "MODEL.SEM_SEG_HEAD.LOSS_WEIGHT"),
-        ("MODEL.PANOPTIC_FPN.RPN_LOSS_SCALE", "MODEL.RPN.LOSS_WEIGHT"),
-        ("MODEL.PANOPTIC_FPN.INSTANCE_LOSS_SCALE", "MODEL.PANOPTIC_FPN.INSTANCE_LOSS_WEIGHT"),
-        ("MODEL.PANOPTIC_FPN.COMBINE_ON", "MODEL.PANOPTIC_FPN.COMBINE.ENABLED"),
-        (
-            "MODEL.PANOPTIC_FPN.COMBINE_OVERLAP_THRESHOLD",
-            "MODEL.PANOPTIC_FPN.COMBINE.OVERLAP_THRESH",
-        ),
-        (
-            "MODEL.PANOPTIC_FPN.COMBINE_STUFF_AREA_LIMIT",
-            "MODEL.PANOPTIC_FPN.COMBINE.STUFF_AREA_LIMIT",
-        ),
-        (
-            "MODEL.PANOPTIC_FPN.COMBINE_INSTANCES_CONFIDENCE_THRESHOLD",
-            "MODEL.PANOPTIC_FPN.COMBINE.INSTANCES_CONFIDENCE_THRESH",
-        ),
-        ("MODEL.ROI_HEADS.SCORE_THRESH", "MODEL.ROI_HEADS.SCORE_THRESH_TEST"),
-        ("MODEL.ROI_HEADS.NMS", "MODEL.ROI_HEADS.NMS_THRESH_TEST"),
-        ("MODEL.RETINANET.INFERENCE_SCORE_THRESHOLD", "MODEL.RETINANET.SCORE_THRESH_TEST"),
-        ("MODEL.RETINANET.INFERENCE_TOPK_CANDIDATES", "MODEL.RETINANET.TOPK_CANDIDATES_TEST"),
-        ("MODEL.RETINANET.INFERENCE_NMS_THRESHOLD", "MODEL.RETINANET.NMS_THRESH_TEST"),
-        ("TEST.DETECTIONS_PER_IMG", "TEST.DETECTIONS_PER_IMAGE"),
-        ("TEST.AUG_ON", "TEST.AUG.ENABLED"),
-        ("TEST.AUG_MIN_SIZES", "TEST.AUG.MIN_SIZES"),
-        ("TEST.AUG_MAX_SIZE", "TEST.AUG.MAX_SIZE"),
-        ("TEST.AUG_FLIP", "TEST.AUG.FLIP"),
-    ]
-
-    @classmethod
-    def upgrade(cls, cfg: CN) -> None:
-        super().upgrade(cfg)
-
-        if cfg.MODEL.META_ARCHITECTURE == "RetinaNet":
-            _rename(
-                cfg, "MODEL.RETINANET.ANCHOR_ASPECT_RATIOS", "MODEL.ANCHOR_GENERATOR.ASPECT_RATIOS"
-            )
-            _rename(cfg, "MODEL.RETINANET.ANCHOR_SIZES", "MODEL.ANCHOR_GENERATOR.SIZES")
-            del cfg["MODEL"]["RPN"]["ANCHOR_SIZES"]
-            del cfg["MODEL"]["RPN"]["ANCHOR_ASPECT_RATIOS"]
-        else:
-            _rename(cfg, "MODEL.RPN.ANCHOR_ASPECT_RATIOS", "MODEL.ANCHOR_GENERATOR.ASPECT_RATIOS")
-            _rename(cfg, "MODEL.RPN.ANCHOR_SIZES", "MODEL.ANCHOR_GENERATOR.SIZES")
-            del cfg["MODEL"]["RETINANET"]["ANCHOR_SIZES"]
-            del cfg["MODEL"]["RETINANET"]["ANCHOR_ASPECT_RATIOS"]
-        del cfg["MODEL"]["RETINANET"]["ANCHOR_STRIDES"]
-
-    @classmethod
-    def downgrade(cls, cfg: CN) -> None:
-        super().downgrade(cfg)
-
-        _rename(cfg, "MODEL.ANCHOR_GENERATOR.ASPECT_RATIOS", "MODEL.RPN.ANCHOR_ASPECT_RATIOS")
-        _rename(cfg, "MODEL.ANCHOR_GENERATOR.SIZES", "MODEL.RPN.ANCHOR_SIZES")
-        cfg.MODEL.RETINANET.ANCHOR_ASPECT_RATIOS = cfg.MODEL.RPN.ANCHOR_ASPECT_RATIOS
-        cfg.MODEL.RETINANET.ANCHOR_SIZES = cfg.MODEL.RPN.ANCHOR_SIZES
-        cfg.MODEL.RETINANET.ANCHOR_STRIDES = []  # this is not used anywhere in any version
diff --git a/spaces/hasibzunair/fifa-tryon-demo/Self-Correction-Human-Parsing-for-ACGPN/mhp_extension/detectron2/docs/tutorials/extend.md b/spaces/hasibzunair/fifa-tryon-demo/Self-Correction-Human-Parsing-for-ACGPN/mhp_extension/detectron2/docs/tutorials/extend.md
deleted file mode 100644
index 4232185757139e45078bf58c4f0fffb5fa0e4c04..0000000000000000000000000000000000000000
--- a/spaces/hasibzunair/fifa-tryon-demo/Self-Correction-Human-Parsing-for-ACGPN/mhp_extension/detectron2/docs/tutorials/extend.md
+++ /dev/null
@@ -1,53 +0,0 @@
-# Extend Detectron2's Defaults
-
-__Research is about doing things in new ways__.
-This brings a tension in how to create abstractions in code,
-which is a challenge for any research engineering project of a significant size:
-
-1. On one hand, it needs to have very thin abstractions to allow for the possibility of doing
-   everything in new ways. It should be reasonably easy to break existing
-   abstractions and replace them with new ones.
-
-2. On the other hand, such a project also needs reasonably high-level
-   abstractions, so that users can easily do things in standard ways,
-   without worrying too much about the details that only certain researchers care about.
-
-In detectron2, there are two types of interfaces that address this tension together:
-
-1. Functions and classes that take a config (`cfg`) argument
-   (sometimes with only a few extra arguments).
-
-   Such functions and classes implement
-   the "standard default" behavior: it will read what it needs from the
-   config and do the "standard" thing.
-   Users only need to load a given config and pass it around, without having to worry about
-   which arguments are used and what they all mean.
-
-2. Functions and classes that have well-defined explicit arguments.
-
-   Each of these is a small building block of the entire system.
-   They require users' expertise to understand what each argument should be,
-   and require more effort to stitch together to a larger system.
-   But they can be stitched together in more flexible ways.
-
-   When you need to implement something not supported by the "standard defaults"
-   included in detectron2, these well-defined components can be reused.
-
-3. (experimental) A few classes are implemented with the
-   [@configurable](../../modules/config.html#detectron2.config.configurable)
-   decorator - they can be called with either a config, or with explicit arguments.
-   Their explicit argument interfaces are currently __experimental__ and subject to change.
-
-
-If you only need the standard behavior, the [Beginner's Tutorial](./getting_started.md)
-should suffice. If you need to extend detectron2 to your own needs,
-see the following tutorials for more details:
-
-* Detectron2 includes a few standard datasets. To use custom ones, see
-  [Use Custom Datasets](./datasets.md).
-* Detectron2 contains the standard logic that creates a data loader for training/testing from a
-  dataset, but you can write your own as well. See [Use Custom Data Loaders](./data_loading.md).
-* Detectron2 implements many standard detection models, and provide ways for you
-  to overwrite their behaviors. See [Use Models](./models.md) and [Write Models](./write-models.md).
-* Detectron2 provides a default training loop that is good for common training tasks.
-  You can customize it with hooks, or write your own loop instead. See [training](./training.md).
diff --git a/spaces/hk59775634/OpenAI-Manager/js/chunk-vendors.js b/spaces/hk59775634/OpenAI-Manager/js/chunk-vendors.js
deleted file mode 100644
index f760f455b1dba8dac59ba44d2fb3154cb53c8b63..0000000000000000000000000000000000000000
--- a/spaces/hk59775634/OpenAI-Manager/js/chunk-vendors.js
+++ /dev/null
@@ -1,4219 +0,0 @@
-/*
- * ATTENTION: The "eval" devtool has been used (maybe by default in mode: "development").
- * This devtool is neither made for production nor for readable output files.
- * It uses "eval()" calls to create a separate source file in the browser devtools.
- * If you are trying to read the output file, select a different devtool (https://webpack.js.org/configuration/devtool/)
- * or disable the default devtool with "devtool: false".
- * If you are looking for production-ready output files, see mode: "production" (https://webpack.js.org/configuration/mode/).
- */
-(self["webpackChunkJCM_AI"] = self["webpackChunkJCM_AI"] || []).push([["chunk-vendors"],{
-
-/***/ "./node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js":
-/*!*****************************************************************************!*\
-  !*** ./node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js ***!
-  \*****************************************************************************/
-/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {
-
-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */   \"default\": function() { return /* binding */ normalizeComponent; }\n/* harmony export */ });\n/* globals __VUE_SSR_CONTEXT__ */\n\n// IMPORTANT: Do NOT use ES2015 features in this file (except for modules).\n// This module is a runtime utility for cleaner component module output and will\n// be included in the final webpack user bundle.\n\nfunction normalizeComponent(\n  scriptExports,\n  render,\n  staticRenderFns,\n  functionalTemplate,\n  injectStyles,\n  scopeId,\n  moduleIdentifier /* server only */,\n  shadowMode /* vue-cli only */\n) {\n  // Vue.extend constructor export interop\n  var options =\n    typeof scriptExports === 'function' ? scriptExports.options : scriptExports\n\n  // render functions\n  if (render) {\n    options.render = render\n    options.staticRenderFns = staticRenderFns\n    options._compiled = true\n  }\n\n  // functional template\n  if (functionalTemplate) {\n    options.functional = true\n  }\n\n  // scopedId\n  if (scopeId) {\n    options._scopeId = 'data-v-' + scopeId\n  }\n\n  var hook\n  if (moduleIdentifier) {\n    // server build\n    hook = function (context) {\n      // 2.3 injection\n      context =\n        context || // cached call\n        (this.$vnode && this.$vnode.ssrContext) || // stateful\n        (this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext) // functional\n      // 2.2 with runInNewContext: true\n      if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n        context = __VUE_SSR_CONTEXT__\n      }\n      // inject component styles\n      if (injectStyles) {\n        injectStyles.call(this, context)\n      }\n      // register component module identifier for async chunk inferrence\n      if (context && context._registeredComponents) {\n        context._registeredComponents.add(moduleIdentifier)\n      }\n    }\n    // used by ssr in case component is cached and beforeCreate\n    // never gets called\n    options._ssrRegister = hook\n  } else if (injectStyles) {\n    hook = shadowMode\n      ? function () {\n          injectStyles.call(\n            this,\n            (options.functional ? this.parent : this).$root.$options.shadowRoot\n          )\n        }\n      : injectStyles\n  }\n\n  if (hook) {\n    if (options.functional) {\n      // for template-only hot-reload because in that case the render fn doesn't\n      // go through the normalizer\n      options._injectStyles = hook\n      // register for functional component in vue file\n      var originalRender = options.render\n      options.render = function renderWithStyleInjection(h, context) {\n        hook.call(context)\n        return originalRender(h, context)\n      }\n    } else {\n      // inject component registration as beforeCreate hook\n      var existing = options.beforeCreate\n      options.beforeCreate = existing ? [].concat(existing, hook) : [hook]\n    }\n  }\n\n  return {\n    exports: scriptExports,\n    options: options\n  }\n}\n\n\n//# sourceURL=webpack://JCM-AI/./node_modules/@vue/vue-loader-v15/lib/runtime/componentNormalizer.js?");
-
-/***/ }),
-
-/***/ "./node_modules/async-validator/es/index.js":
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-  !*** ./node_modules/async-validator/es/index.js ***!
-  \**************************************************/
-/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {
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-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__);\n/* harmony import */ var babel_runtime_helpers_extends__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! babel-runtime/helpers/extends */ \"./node_modules/babel-runtime/helpers/extends.js\");\n/* harmony import */ var babel_runtime_helpers_typeof__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! babel-runtime/helpers/typeof */ \"./node_modules/babel-runtime/helpers/typeof.js\");\n/* harmony import */ var _util__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! ./util */ \"./node_modules/async-validator/es/util.js\");\n/* harmony import */ var _validator___WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(/*! ./validator/ */ \"./node_modules/async-validator/es/validator/index.js\");\n/* harmony import */ var _messages__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(/*! ./messages */ \"./node_modules/async-validator/es/messages.js\");\n\n\n\n\n\n\n\n/**\n *  Encapsulates a validation schema.\n *\n *  @param descriptor An object declaring validation rules\n *  for this schema.\n */\nfunction Schema(descriptor) {\n  this.rules = null;\n  this._messages = _messages__WEBPACK_IMPORTED_MODULE_5__.messages;\n  this.define(descriptor);\n}\nSchema.prototype = {\n  messages: function messages(_messages) {\n    if (_messages) {\n      this._messages = (0,_util__WEBPACK_IMPORTED_MODULE_3__.deepMerge)((0,_messages__WEBPACK_IMPORTED_MODULE_5__.newMessages)(), _messages);\n    }\n    return this._messages;\n  },\n  define: function define(rules) {\n    if (!rules) {\n      throw new Error('Cannot configure a schema with no rules');\n    }\n    if ((typeof rules === 'undefined' ? 'undefined' : (0,babel_runtime_helpers_typeof__WEBPACK_IMPORTED_MODULE_2__[\"default\"])(rules)) !== 'object' || Array.isArray(rules)) {\n      throw new Error('Rules must be an object');\n    }\n    this.rules = {};\n    var z = void 0;\n    var item = void 0;\n    for (z in rules) {\n      if (rules.hasOwnProperty(z)) {\n        item = rules[z];\n        this.rules[z] = Array.isArray(item) ? item : [item];\n      }\n    }\n  },\n  validate: function validate(source_) {\n    var _this = this;\n    var o = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    var oc = arguments[2];\n    var source = source_;\n    var options = o;\n    var callback = oc;\n    if (typeof options === 'function') {\n      callback = options;\n      options = {};\n    }\n    if (!this.rules || Object.keys(this.rules).length === 0) {\n      if (callback) {\n        callback();\n      }\n      return;\n    }\n    function complete(results) {\n      var i = void 0;\n      var field = void 0;\n      var errors = [];\n      var fields = {};\n      function add(e) {\n        if (Array.isArray(e)) {\n          errors = errors.concat.apply(errors, e);\n        } else {\n          errors.push(e);\n        }\n      }\n      for (i = 0; i < results.length; i++) {\n        add(results[i]);\n      }\n      if (!errors.length) {\n        errors = null;\n        fields = null;\n      } else {\n        for (i = 0; i < errors.length; i++) {\n          field = errors[i].field;\n          fields[field] = fields[field] || [];\n          fields[field].push(errors[i]);\n        }\n      }\n      callback(errors, fields);\n    }\n    if (options.messages) {\n      var messages = this.messages();\n      if (messages === _messages__WEBPACK_IMPORTED_MODULE_5__.messages) {\n        messages = (0,_messages__WEBPACK_IMPORTED_MODULE_5__.newMessages)();\n      }\n      (0,_util__WEBPACK_IMPORTED_MODULE_3__.deepMerge)(messages, options.messages);\n      options.messages = messages;\n    } else {\n      options.messages = this.messages();\n    }\n    var arr = void 0;\n    var value = void 0;\n    var series = {};\n    var keys = options.keys || Object.keys(this.rules);\n    keys.forEach(function (z) {\n      arr = _this.rules[z];\n      value = source[z];\n      arr.forEach(function (r) {\n        var rule = r;\n        if (typeof rule.transform === 'function') {\n          if (source === source_) {\n            source = (0,babel_runtime_helpers_extends__WEBPACK_IMPORTED_MODULE_1__[\"default\"])({}, source);\n          }\n          value = source[z] = rule.transform(value);\n        }\n        if (typeof rule === 'function') {\n          rule = {\n            validator: rule\n          };\n        } else {\n          rule = (0,babel_runtime_helpers_extends__WEBPACK_IMPORTED_MODULE_1__[\"default\"])({}, rule);\n        }\n        rule.validator = _this.getValidationMethod(rule);\n        rule.field = z;\n        rule.fullField = rule.fullField || z;\n        rule.type = _this.getType(rule);\n        if (!rule.validator) {\n          return;\n        }\n        series[z] = series[z] || [];\n        series[z].push({\n          rule: rule,\n          value: value,\n          source: source,\n          field: z\n        });\n      });\n    });\n    var errorFields = {};\n    (0,_util__WEBPACK_IMPORTED_MODULE_3__.asyncMap)(series, options, function (data, doIt) {\n      var rule = data.rule;\n      var deep = (rule.type === 'object' || rule.type === 'array') && ((0,babel_runtime_helpers_typeof__WEBPACK_IMPORTED_MODULE_2__[\"default\"])(rule.fields) === 'object' || (0,babel_runtime_helpers_typeof__WEBPACK_IMPORTED_MODULE_2__[\"default\"])(rule.defaultField) === 'object');\n      deep = deep && (rule.required || !rule.required && data.value);\n      rule.field = data.field;\n      function addFullfield(key, schema) {\n        return (0,babel_runtime_helpers_extends__WEBPACK_IMPORTED_MODULE_1__[\"default\"])({}, schema, {\n          fullField: rule.fullField + '.' + key\n        });\n      }\n      function cb() {\n        var e = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : [];\n        var errors = e;\n        if (!Array.isArray(errors)) {\n          errors = [errors];\n        }\n        if (errors.length) {\n          (0,_util__WEBPACK_IMPORTED_MODULE_3__.warning)('async-validator:', errors);\n        }\n        if (errors.length && rule.message) {\n          errors = [].concat(rule.message);\n        }\n        errors = errors.map((0,_util__WEBPACK_IMPORTED_MODULE_3__.complementError)(rule));\n        if (options.first && errors.length) {\n          errorFields[rule.field] = 1;\n          return doIt(errors);\n        }\n        if (!deep) {\n          doIt(errors);\n        } else {\n          // if rule is required but the target object\n          // does not exist fail at the rule level and don't\n          // go deeper\n          if (rule.required && !data.value) {\n            if (rule.message) {\n              errors = [].concat(rule.message).map((0,_util__WEBPACK_IMPORTED_MODULE_3__.complementError)(rule));\n            } else if (options.error) {\n              errors = [options.error(rule, (0,_util__WEBPACK_IMPORTED_MODULE_3__.format)(options.messages.required, rule.field))];\n            } else {\n              errors = [];\n            }\n            return doIt(errors);\n          }\n          var fieldsSchema = {};\n          if (rule.defaultField) {\n            for (var k in data.value) {\n              if (data.value.hasOwnProperty(k)) {\n                fieldsSchema[k] = rule.defaultField;\n              }\n            }\n          }\n          fieldsSchema = (0,babel_runtime_helpers_extends__WEBPACK_IMPORTED_MODULE_1__[\"default\"])({}, fieldsSchema, data.rule.fields);\n          for (var f in fieldsSchema) {\n            if (fieldsSchema.hasOwnProperty(f)) {\n              var fieldSchema = Array.isArray(fieldsSchema[f]) ? fieldsSchema[f] : [fieldsSchema[f]];\n              fieldsSchema[f] = fieldSchema.map(addFullfield.bind(null, f));\n            }\n          }\n          var schema = new Schema(fieldsSchema);\n          schema.messages(options.messages);\n          if (data.rule.options) {\n            data.rule.options.messages = options.messages;\n            data.rule.options.error = options.error;\n          }\n          schema.validate(data.value, data.rule.options || options, function (errs) {\n            doIt(errs && errs.length ? errors.concat(errs) : errs);\n          });\n        }\n      }\n      var res = rule.validator(rule, data.value, cb, data.source, options);\n      if (res && res.then) {\n        res.then(function () {\n          return cb();\n        }, function (e) {\n          return cb(e);\n        });\n      }\n    }, function (results) {\n      complete(results);\n    });\n  },\n  getType: function getType(rule) {\n    if (rule.type === undefined && rule.pattern instanceof RegExp) {\n      rule.type = 'pattern';\n    }\n    if (typeof rule.validator !== 'function' && rule.type && !_validator___WEBPACK_IMPORTED_MODULE_4__[\"default\"].hasOwnProperty(rule.type)) {\n      throw new Error((0,_util__WEBPACK_IMPORTED_MODULE_3__.format)('Unknown rule type %s', rule.type));\n    }\n    return rule.type || 'string';\n  },\n  getValidationMethod: function getValidationMethod(rule) {\n    if (typeof rule.validator === 'function') {\n      return rule.validator;\n    }\n    var keys = Object.keys(rule);\n    var messageIndex = keys.indexOf('message');\n    if (messageIndex !== -1) {\n      keys.splice(messageIndex, 1);\n    }\n    if (keys.length === 1 && keys[0] === 'required') {\n      return _validator___WEBPACK_IMPORTED_MODULE_4__[\"default\"].required;\n    }\n    return _validator___WEBPACK_IMPORTED_MODULE_4__[\"default\"][this.getType(rule)] || false;\n  }\n};\nSchema.register = function register(type, validator) {\n  if (typeof validator !== 'function') {\n    throw new Error('Cannot register a validator by type, validator is not a function');\n  }\n  _validator___WEBPACK_IMPORTED_MODULE_4__[\"default\"][type] = validator;\n};\nSchema.messages = _messages__WEBPACK_IMPORTED_MODULE_5__.messages;\n/* harmony default export */ __webpack_exports__[\"default\"] = (Schema);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/async-validator/es/index.js?");
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? [].concat(existing, hook) : [hook];\n        }\n      }\n      return {\n        exports: scriptExports,\n        options: options\n      };\n    }\n\n    /***/\n  },\n\n  /***/96: /***/function (module, __webpack_exports__, __nested_webpack_require_7234__) {\n    \"use strict\";\n\n    __nested_webpack_require_7234__.r(__webpack_exports__);\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/button/src/button.vue?vue&type=template&id=ca859fb4&\n    var render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"button\", {\n        staticClass: \"el-button\",\n        class: [_vm.type ? \"el-button--\" + _vm.type : \"\", _vm.buttonSize ? \"el-button--\" + _vm.buttonSize : \"\", {\n          \"is-disabled\": _vm.buttonDisabled,\n          \"is-loading\": _vm.loading,\n          \"is-plain\": _vm.plain,\n          \"is-round\": _vm.round,\n          \"is-circle\": _vm.circle\n        }],\n        attrs: {\n          disabled: _vm.buttonDisabled || _vm.loading,\n          autofocus: _vm.autofocus,\n          type: _vm.nativeType\n        },\n        on: {\n          click: _vm.handleClick\n        }\n      }, [_vm.loading ? _c(\"i\", {\n        staticClass: \"el-icon-loading\"\n      }) : _vm._e(), _vm.icon && !_vm.loading ? _c(\"i\", {\n        class: _vm.icon\n      }) : _vm._e(), _vm.$slots.default ? _c(\"span\", [_vm._t(\"default\")], 2) : _vm._e()]);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/button/src/button.vue?vue&type=template&id=ca859fb4&\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/button/src/button.vue?vue&type=script&lang=js&\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var buttonvue_type_script_lang_js_ = {\n      name: 'ElButton',\n      inject: {\n        elForm: {\n          default: ''\n        },\n        elFormItem: {\n          default: ''\n        }\n      },\n      props: {\n        type: {\n          type: String,\n          default: 'default'\n        },\n        size: String,\n        icon: {\n          type: String,\n          default: ''\n        },\n        nativeType: {\n          type: String,\n          default: 'button'\n        },\n        loading: Boolean,\n        disabled: Boolean,\n        plain: Boolean,\n        autofocus: Boolean,\n        round: Boolean,\n        circle: Boolean\n      },\n      computed: {\n        _elFormItemSize: function _elFormItemSize() {\n          return (this.elFormItem || {}).elFormItemSize;\n        },\n        buttonSize: function buttonSize() {\n          return this.size || this._elFormItemSize || (this.$ELEMENT || {}).size;\n        },\n        buttonDisabled: function buttonDisabled() {\n          return this.$options.propsData.hasOwnProperty('disabled') ? this.disabled : (this.elForm || {}).disabled;\n        }\n      },\n      methods: {\n        handleClick: function handleClick(evt) {\n          this.$emit('click', evt);\n        }\n      }\n    };\n    // CONCATENATED MODULE: ./packages/button/src/button.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_buttonvue_type_script_lang_js_ = buttonvue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_7234__(0);\n\n    // CONCATENATED MODULE: ./packages/button/src/button.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_buttonvue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/button/src/button.vue\";\n    /* harmony default export */\n    var src_button = component.exports;\n    // CONCATENATED MODULE: ./packages/button/index.js\n\n    /* istanbul ignore next */\n    src_button.install = function (Vue) {\n      Vue.component(src_button.name, src_button);\n    };\n\n    /* harmony default export */\n    var packages_button = __webpack_exports__[\"default\"] = src_button;\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/button.js?");
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? [].concat(existing, hook) : [hook];\n        }\n      }\n      return {\n        exports: scriptExports,\n        options: options\n      };\n    }\n\n    /***/\n  },\n\n  /***/15: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/scrollbar */ \"./node_modules/element-ui/lib/scrollbar.js\");\n\n    /***/\n  },\n\n  /***/18: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/checkbox */ \"./node_modules/element-ui/lib/checkbox.js\");\n\n    /***/\n  },\n\n  /***/21: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/shared */ \"./node_modules/element-ui/lib/utils/shared.js\");\n\n    /***/\n  },\n\n  /***/26: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! babel-helper-vue-jsx-merge-props */ \"./node_modules/babel-helper-vue-jsx-merge-props/index.js\");\n\n    /***/\n  },\n\n  /***/3: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/util */ \"./node_modules/element-ui/lib/utils/util.js\");\n\n    /***/\n  },\n\n  /***/31: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/scroll-into-view */ \"./node_modules/element-ui/lib/utils/scroll-into-view.js\");\n\n    /***/\n  },\n\n  /***/41: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/aria-utils */ \"./node_modules/element-ui/lib/utils/aria-utils.js\");\n\n    /***/\n  },\n\n  /***/52: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/radio */ \"./node_modules/element-ui/lib/radio.js\");\n\n    /***/\n  },\n\n  /***/6: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/mixins/locale */ \"./node_modules/element-ui/lib/mixins/locale.js\");\n\n    /***/\n  },\n\n  /***/61: /***/function (module, __webpack_exports__, __nested_webpack_require_8436__) {\n    \"use strict\";\n\n    __nested_webpack_require_8436__.r(__webpack_exports__);\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader-panel/src/cascader-panel.vue?vue&type=template&id=34932346&\n    var cascader_panelvue_type_template_id_34932346_render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"div\", {\n        class: [\"el-cascader-panel\", _vm.border && \"is-bordered\"],\n        on: {\n          keydown: _vm.handleKeyDown\n        }\n      }, _vm._l(_vm.menus, function (menu, index) {\n        return _c(\"cascader-menu\", {\n          key: index,\n          ref: \"menu\",\n          refInFor: true,\n          attrs: {\n            index: index,\n            nodes: menu\n          }\n        });\n      }), 1);\n    };\n    var staticRenderFns = [];\n    cascader_panelvue_type_template_id_34932346_render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-panel.vue?vue&type=template&id=34932346&\n\n    // EXTERNAL MODULE: external \"babel-helper-vue-jsx-merge-props\"\n    var external_babel_helper_vue_jsx_merge_props_ = __nested_webpack_require_8436__(26);\n    var external_babel_helper_vue_jsx_merge_props_default = /*#__PURE__*/__nested_webpack_require_8436__.n(external_babel_helper_vue_jsx_merge_props_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/scrollbar\"\n    var scrollbar_ = __nested_webpack_require_8436__(15);\n    var scrollbar_default = /*#__PURE__*/__nested_webpack_require_8436__.n(scrollbar_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/checkbox\"\n    var checkbox_ = __nested_webpack_require_8436__(18);\n    var checkbox_default = /*#__PURE__*/__nested_webpack_require_8436__.n(checkbox_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/radio\"\n    var radio_ = __nested_webpack_require_8436__(52);\n    var radio_default = /*#__PURE__*/__nested_webpack_require_8436__.n(radio_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/util\"\n    var util_ = __nested_webpack_require_8436__(3);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader-panel/src/cascader-node.vue?vue&type=script&lang=js&\n\n    var stopPropagation = function stopPropagation(e) {\n      return e.stopPropagation();\n    };\n\n    /* harmony default export */\n    var cascader_nodevue_type_script_lang_js_ = {\n      inject: ['panel'],\n      components: {\n        ElCheckbox: checkbox_default.a,\n        ElRadio: radio_default.a\n      },\n      props: {\n        node: {\n          required: true\n        },\n        nodeId: String\n      },\n      computed: {\n        config: function config() {\n          return this.panel.config;\n        },\n        isLeaf: function isLeaf() {\n          return this.node.isLeaf;\n        },\n        isDisabled: function isDisabled() {\n          return this.node.isDisabled;\n        },\n        checkedValue: function checkedValue() {\n          return this.panel.checkedValue;\n        },\n        isChecked: function isChecked() {\n          return this.node.isSameNode(this.checkedValue);\n        },\n        inActivePath: function inActivePath() {\n          return this.isInPath(this.panel.activePath);\n        },\n        inCheckedPath: function inCheckedPath() {\n          var _this = this;\n          if (!this.config.checkStrictly) return false;\n          return this.panel.checkedNodePaths.some(function (checkedPath) {\n            return _this.isInPath(checkedPath);\n          });\n        },\n        value: function value() {\n          return this.node.getValueByOption();\n        }\n      },\n      methods: {\n        handleExpand: function handleExpand() {\n          var _this2 = this;\n          var panel = this.panel,\n            node = this.node,\n            isDisabled = this.isDisabled,\n            config = this.config;\n          var multiple = config.multiple,\n            checkStrictly = config.checkStrictly;\n          if (!checkStrictly && isDisabled || node.loading) return;\n          if (config.lazy && !node.loaded) {\n            panel.lazyLoad(node, function () {\n              // do not use cached leaf value here, invoke this.isLeaf to get new value.\n              var isLeaf = _this2.isLeaf;\n              if (!isLeaf) _this2.handleExpand();\n              if (multiple) {\n                // if leaf sync checked state, else clear checked state\n                var checked = isLeaf ? node.checked : false;\n                _this2.handleMultiCheckChange(checked);\n              }\n            });\n          } else {\n            panel.handleExpand(node);\n          }\n        },\n        handleCheckChange: function handleCheckChange() {\n          var panel = this.panel,\n            value = this.value,\n            node = this.node;\n          panel.handleCheckChange(value);\n          panel.handleExpand(node);\n        },\n        handleMultiCheckChange: function handleMultiCheckChange(checked) {\n          this.node.doCheck(checked);\n          this.panel.calculateMultiCheckedValue();\n        },\n        isInPath: function isInPath(pathNodes) {\n          var node = this.node;\n          var selectedPathNode = pathNodes[node.level - 1] || {};\n          return selectedPathNode.uid === node.uid;\n        },\n        renderPrefix: function renderPrefix(h) {\n          var isLeaf = this.isLeaf,\n            isChecked = this.isChecked,\n            config = this.config;\n          var checkStrictly = config.checkStrictly,\n            multiple = config.multiple;\n          if (multiple) {\n            return this.renderCheckbox(h);\n          } else if (checkStrictly) {\n            return this.renderRadio(h);\n          } else if (isLeaf && isChecked) {\n            return this.renderCheckIcon(h);\n          }\n          return null;\n        },\n        renderPostfix: function renderPostfix(h) {\n          var node = this.node,\n            isLeaf = this.isLeaf;\n          if (node.loading) {\n            return this.renderLoadingIcon(h);\n          } else if (!isLeaf) {\n            return this.renderExpandIcon(h);\n          }\n          return null;\n        },\n        renderCheckbox: function renderCheckbox(h) {\n          var node = this.node,\n            config = this.config,\n            isDisabled = this.isDisabled;\n          var events = {\n            on: {\n              change: this.handleMultiCheckChange\n            },\n            nativeOn: {}\n          };\n          if (config.checkStrictly) {\n            // when every node is selectable, click event should not trigger expand event.\n            events.nativeOn.click = stopPropagation;\n          }\n          return h('el-checkbox', external_babel_helper_vue_jsx_merge_props_default()([{\n            attrs: {\n              value: node.checked,\n              indeterminate: node.indeterminate,\n              disabled: isDisabled\n            }\n          }, events]));\n        },\n        renderRadio: function renderRadio(h) {\n          var checkedValue = this.checkedValue,\n            value = this.value,\n            isDisabled = this.isDisabled;\n\n          // to keep same reference if value cause radio's checked state is calculated by reference comparision;\n\n          if (Object(util_[\"isEqual\"])(value, checkedValue)) {\n            value = checkedValue;\n          }\n          return h('el-radio', {\n            attrs: {\n              value: checkedValue,\n              label: value,\n              disabled: isDisabled\n            },\n            on: {\n              'change': this.handleCheckChange\n            },\n            nativeOn: {\n              'click': stopPropagation\n            }\n          }, [h('span')]);\n        },\n        renderCheckIcon: function renderCheckIcon(h) {\n          return h('i', {\n            'class': 'el-icon-check el-cascader-node__prefix'\n          });\n        },\n        renderLoadingIcon: function renderLoadingIcon(h) {\n          return h('i', {\n            'class': 'el-icon-loading el-cascader-node__postfix'\n          });\n        },\n        renderExpandIcon: function renderExpandIcon(h) {\n          return h('i', {\n            'class': 'el-icon-arrow-right el-cascader-node__postfix'\n          });\n        },\n        renderContent: function renderContent(h) {\n          var panel = this.panel,\n            node = this.node;\n          var render = panel.renderLabelFn;\n          var vnode = render ? render({\n            node: node,\n            data: node.data\n          }) : null;\n          return h('span', {\n            'class': 'el-cascader-node__label'\n          }, [vnode || node.label]);\n        }\n      },\n      render: function render(h) {\n        var _this3 = this;\n        var inActivePath = this.inActivePath,\n          inCheckedPath = this.inCheckedPath,\n          isChecked = this.isChecked,\n          isLeaf = this.isLeaf,\n          isDisabled = this.isDisabled,\n          config = this.config,\n          nodeId = this.nodeId;\n        var expandTrigger = config.expandTrigger,\n          checkStrictly = config.checkStrictly,\n          multiple = config.multiple;\n        var disabled = !checkStrictly && isDisabled;\n        var events = {\n          on: {}\n        };\n        if (expandTrigger === 'click') {\n          events.on.click = this.handleExpand;\n        } else {\n          events.on.mouseenter = function (e) {\n            _this3.handleExpand();\n            _this3.$emit('expand', e);\n          };\n          events.on.focus = function (e) {\n            _this3.handleExpand();\n            _this3.$emit('expand', e);\n          };\n        }\n        if (isLeaf && !isDisabled && !checkStrictly && !multiple) {\n          events.on.click = this.handleCheckChange;\n        }\n        return h('li', external_babel_helper_vue_jsx_merge_props_default()([{\n          attrs: {\n            role: 'menuitem',\n            id: nodeId,\n            'aria-expanded': inActivePath,\n            tabindex: disabled ? null : -1\n          },\n          'class': {\n            'el-cascader-node': true,\n            'is-selectable': checkStrictly,\n            'in-active-path': inActivePath,\n            'in-checked-path': inCheckedPath,\n            'is-active': isChecked,\n            'is-disabled': disabled\n          }\n        }, events]), [this.renderPrefix(h), this.renderContent(h), this.renderPostfix(h)]);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-node.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_cascader_nodevue_type_script_lang_js_ = cascader_nodevue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_8436__(0);\n\n    // CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-node.vue\n    var cascader_node_render, cascader_node_staticRenderFns;\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_cascader_nodevue_type_script_lang_js_, cascader_node_render, cascader_node_staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/cascader-panel/src/cascader-node.vue\";\n    /* harmony default export */\n    var cascader_node = component.exports;\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/locale\"\n    var locale_ = __nested_webpack_require_8436__(6);\n    var locale_default = /*#__PURE__*/__nested_webpack_require_8436__.n(locale_);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader-panel/src/cascader-menu.vue?vue&type=script&lang=js&\n\n    /* harmony default export */\n    var cascader_menuvue_type_script_lang_js_ = {\n      name: 'ElCascaderMenu',\n      mixins: [locale_default.a],\n      inject: ['panel'],\n      components: {\n        ElScrollbar: scrollbar_default.a,\n        CascaderNode: cascader_node\n      },\n      props: {\n        nodes: {\n          type: Array,\n          required: true\n        },\n        index: Number\n      },\n      data: function data() {\n        return {\n          activeNode: null,\n          hoverTimer: null,\n          id: Object(util_[\"generateId\"])()\n        };\n      },\n      computed: {\n        isEmpty: function isEmpty() {\n          return !this.nodes.length;\n        },\n        menuId: function menuId() {\n          return 'cascader-menu-' + this.id + '-' + this.index;\n        }\n      },\n      methods: {\n        handleExpand: function handleExpand(e) {\n          this.activeNode = e.target;\n        },\n        handleMouseMove: function handleMouseMove(e) {\n          var activeNode = this.activeNode,\n            hoverTimer = this.hoverTimer;\n          var hoverZone = this.$refs.hoverZone;\n          if (!activeNode || !hoverZone) return;\n          if (activeNode.contains(e.target)) {\n            clearTimeout(hoverTimer);\n            var _$el$getBoundingClien = this.$el.getBoundingClientRect(),\n              left = _$el$getBoundingClien.left;\n            var startX = e.clientX - left;\n            var _$el = this.$el,\n              offsetWidth = _$el.offsetWidth,\n              offsetHeight = _$el.offsetHeight;\n            var top = activeNode.offsetTop;\n            var bottom = top + activeNode.offsetHeight;\n            hoverZone.innerHTML = '\\n          <path style=\"pointer-events: auto;\" fill=\"transparent\" d=\"M' + startX + ' ' + top + ' L' + offsetWidth + ' 0 V' + top + ' Z\" />\\n          <path style=\"pointer-events: auto;\" fill=\"transparent\" d=\"M' + startX + ' ' + bottom + ' L' + offsetWidth + ' ' + offsetHeight + ' V' + bottom + ' Z\" />\\n        ';\n          } else if (!hoverTimer) {\n            this.hoverTimer = setTimeout(this.clearHoverZone, this.panel.config.hoverThreshold);\n          }\n        },\n        clearHoverZone: function clearHoverZone() {\n          var hoverZone = this.$refs.hoverZone;\n          if (!hoverZone) return;\n          hoverZone.innerHTML = '';\n        },\n        renderEmptyText: function renderEmptyText(h) {\n          return h('div', {\n            'class': 'el-cascader-menu__empty-text'\n          }, [this.t('el.cascader.noData')]);\n        },\n        renderNodeList: function renderNodeList(h) {\n          var menuId = this.menuId;\n          var isHoverMenu = this.panel.isHoverMenu;\n          var events = {\n            on: {}\n          };\n          if (isHoverMenu) {\n            events.on.expand = this.handleExpand;\n          }\n          var nodes = this.nodes.map(function (node, index) {\n            var hasChildren = node.hasChildren;\n            return h('cascader-node', external_babel_helper_vue_jsx_merge_props_default()([{\n              key: node.uid,\n              attrs: {\n                node: node,\n                'node-id': menuId + '-' + index,\n                'aria-haspopup': hasChildren,\n                'aria-owns': hasChildren ? menuId : null\n              }\n            }, events]));\n          });\n          return [].concat(nodes, [isHoverMenu ? h('svg', {\n            ref: 'hoverZone',\n            'class': 'el-cascader-menu__hover-zone'\n          }) : null]);\n        }\n      },\n      render: function render(h) {\n        var isEmpty = this.isEmpty,\n          menuId = this.menuId;\n        var events = {\n          nativeOn: {}\n        };\n\n        // optimize hover to expand experience (#8010)\n        if (this.panel.isHoverMenu) {\n          events.nativeOn.mousemove = this.handleMouseMove;\n          // events.nativeOn.mouseleave = this.clearHoverZone;\n        }\n\n        return h('el-scrollbar', external_babel_helper_vue_jsx_merge_props_default()([{\n          attrs: {\n            tag: 'ul',\n            role: 'menu',\n            id: menuId,\n            'wrap-class': 'el-cascader-menu__wrap',\n            'view-class': {\n              'el-cascader-menu__list': true,\n              'is-empty': isEmpty\n            }\n          },\n          'class': 'el-cascader-menu'\n        }, events]), [isEmpty ? this.renderEmptyText(h) : this.renderNodeList(h)]);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-menu.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_cascader_menuvue_type_script_lang_js_ = cascader_menuvue_type_script_lang_js_;\n    // CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-menu.vue\n    var cascader_menu_render, cascader_menu_staticRenderFns;\n\n    /* normalize component */\n\n    var cascader_menu_component = Object(componentNormalizer[\"a\" /* default */])(src_cascader_menuvue_type_script_lang_js_, cascader_menu_render, cascader_menu_staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var cascader_menu_api; }\n    cascader_menu_component.options.__file = \"packages/cascader-panel/src/cascader-menu.vue\";\n    /* harmony default export */\n    var cascader_menu = cascader_menu_component.exports;\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/shared\"\n    var shared_ = __nested_webpack_require_8436__(21);\n\n    // CONCATENATED MODULE: ./packages/cascader-panel/src/node.js\n    var _createClass = function () {\n      function defineProperties(target, props) {\n        for (var i = 0; i < props.length; i++) {\n          var descriptor = props[i];\n          descriptor.enumerable = descriptor.enumerable || false;\n          descriptor.configurable = true;\n          if (\"value\" in descriptor) descriptor.writable = true;\n          Object.defineProperty(target, descriptor.key, descriptor);\n        }\n      }\n      return function (Constructor, protoProps, staticProps) {\n        if (protoProps) defineProperties(Constructor.prototype, protoProps);\n        if (staticProps) defineProperties(Constructor, staticProps);\n        return Constructor;\n      };\n    }();\n    function _classCallCheck(instance, Constructor) {\n      if (!(instance instanceof Constructor)) {\n        throw new TypeError(\"Cannot call a class as a function\");\n      }\n    }\n    var uid = 0;\n    var node_Node = function () {\n      function Node(data, config, parentNode) {\n        _classCallCheck(this, Node);\n        this.data = data;\n        this.config = config;\n        this.parent = parentNode || null;\n        this.level = !this.parent ? 1 : this.parent.level + 1;\n        this.uid = uid++;\n        this.initState();\n        this.initChildren();\n      }\n      Node.prototype.initState = function initState() {\n        var _config = this.config,\n          valueKey = _config.value,\n          labelKey = _config.label;\n        this.value = this.data[valueKey];\n        this.label = this.data[labelKey];\n        this.pathNodes = this.calculatePathNodes();\n        this.path = this.pathNodes.map(function (node) {\n          return node.value;\n        });\n        this.pathLabels = this.pathNodes.map(function (node) {\n          return node.label;\n        });\n\n        // lazy load\n        this.loading = false;\n        this.loaded = false;\n      };\n      Node.prototype.initChildren = function initChildren() {\n        var _this = this;\n        var config = this.config;\n        var childrenKey = config.children;\n        var childrenData = this.data[childrenKey];\n        this.hasChildren = Array.isArray(childrenData);\n        this.children = (childrenData || []).map(function (child) {\n          return new Node(child, config, _this);\n        });\n      };\n      Node.prototype.calculatePathNodes = function calculatePathNodes() {\n        var nodes = [this];\n        var parent = this.parent;\n        while (parent) {\n          nodes.unshift(parent);\n          parent = parent.parent;\n        }\n        return nodes;\n      };\n      Node.prototype.getPath = function getPath() {\n        return this.path;\n      };\n      Node.prototype.getValue = function getValue() {\n        return this.value;\n      };\n      Node.prototype.getValueByOption = function getValueByOption() {\n        return this.config.emitPath ? this.getPath() : this.getValue();\n      };\n      Node.prototype.getText = function getText(allLevels, separator) {\n        return allLevels ? this.pathLabels.join(separator) : this.label;\n      };\n      Node.prototype.isSameNode = function isSameNode(checkedValue) {\n        var value = this.getValueByOption();\n        return this.config.multiple && Array.isArray(checkedValue) ? checkedValue.some(function (val) {\n          return Object(util_[\"isEqual\"])(val, value);\n        }) : Object(util_[\"isEqual\"])(checkedValue, value);\n      };\n      Node.prototype.broadcast = function broadcast(event) {\n        for (var _len = arguments.length, args = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) {\n          args[_key - 1] = arguments[_key];\n        }\n        var handlerName = 'onParent' + Object(util_[\"capitalize\"])(event);\n        this.children.forEach(function (child) {\n          if (child) {\n            // bottom up\n            child.broadcast.apply(child, [event].concat(args));\n            child[handlerName] && child[handlerName].apply(child, args);\n          }\n        });\n      };\n      Node.prototype.emit = function emit(event) {\n        var parent = this.parent;\n        var handlerName = 'onChild' + Object(util_[\"capitalize\"])(event);\n        if (parent) {\n          for (var _len2 = arguments.length, args = Array(_len2 > 1 ? _len2 - 1 : 0), _key2 = 1; _key2 < _len2; _key2++) {\n            args[_key2 - 1] = arguments[_key2];\n          }\n          parent[handlerName] && parent[handlerName].apply(parent, args);\n          parent.emit.apply(parent, [event].concat(args));\n        }\n      };\n      Node.prototype.onParentCheck = function onParentCheck(checked) {\n        if (!this.isDisabled) {\n          this.setCheckState(checked);\n        }\n      };\n      Node.prototype.onChildCheck = function onChildCheck() {\n        var children = this.children;\n        var validChildren = children.filter(function (child) {\n          return !child.isDisabled;\n        });\n        var checked = validChildren.length ? validChildren.every(function (child) {\n          return child.checked;\n        }) : false;\n        this.setCheckState(checked);\n      };\n      Node.prototype.setCheckState = function setCheckState(checked) {\n        var totalNum = this.children.length;\n        var checkedNum = this.children.reduce(function (c, p) {\n          var num = p.checked ? 1 : p.indeterminate ? 0.5 : 0;\n          return c + num;\n        }, 0);\n        this.checked = checked;\n        this.indeterminate = checkedNum !== totalNum && checkedNum > 0;\n      };\n      Node.prototype.syncCheckState = function syncCheckState(checkedValue) {\n        var value = this.getValueByOption();\n        var checked = this.isSameNode(checkedValue, value);\n        this.doCheck(checked);\n      };\n      Node.prototype.doCheck = function doCheck(checked) {\n        if (this.checked !== checked) {\n          if (this.config.checkStrictly) {\n            this.checked = checked;\n          } else {\n            // bottom up to unify the calculation of the indeterminate state\n            this.broadcast('check', checked);\n            this.setCheckState(checked);\n            this.emit('check');\n          }\n        }\n      };\n      _createClass(Node, [{\n        key: 'isDisabled',\n        get: function get() {\n          var data = this.data,\n            parent = this.parent,\n            config = this.config;\n          var disabledKey = config.disabled;\n          var checkStrictly = config.checkStrictly;\n          return data[disabledKey] || !checkStrictly && parent && parent.isDisabled;\n        }\n      }, {\n        key: 'isLeaf',\n        get: function get() {\n          var data = this.data,\n            loaded = this.loaded,\n            hasChildren = this.hasChildren,\n            children = this.children;\n          var _config2 = this.config,\n            lazy = _config2.lazy,\n            leafKey = _config2.leaf;\n          if (lazy) {\n            var isLeaf = Object(shared_[\"isDef\"])(data[leafKey]) ? data[leafKey] : loaded ? !children.length : false;\n            this.hasChildren = !isLeaf;\n            return isLeaf;\n          }\n          return !hasChildren;\n        }\n      }]);\n      return Node;\n    }();\n\n    /* harmony default export */\n    var src_node = node_Node;\n    // CONCATENATED MODULE: ./packages/cascader-panel/src/store.js\n    function store_classCallCheck(instance, Constructor) {\n      if (!(instance instanceof Constructor)) {\n        throw new TypeError(\"Cannot call a class as a function\");\n      }\n    }\n    var flatNodes = function flatNodes(data, leafOnly) {\n      return data.reduce(function (res, node) {\n        if (node.isLeaf) {\n          res.push(node);\n        } else {\n          !leafOnly && res.push(node);\n          res = res.concat(flatNodes(node.children, leafOnly));\n        }\n        return res;\n      }, []);\n    };\n    var store_Store = function () {\n      function Store(data, config) {\n        store_classCallCheck(this, Store);\n        this.config = config;\n        this.initNodes(data);\n      }\n      Store.prototype.initNodes = function initNodes(data) {\n        var _this = this;\n        data = Object(util_[\"coerceTruthyValueToArray\"])(data);\n        this.nodes = data.map(function (nodeData) {\n          return new src_node(nodeData, _this.config);\n        });\n        this.flattedNodes = this.getFlattedNodes(false, false);\n        this.leafNodes = this.getFlattedNodes(true, false);\n      };\n      Store.prototype.appendNode = function appendNode(nodeData, parentNode) {\n        var node = new src_node(nodeData, this.config, parentNode);\n        var children = parentNode ? parentNode.children : this.nodes;\n        children.push(node);\n      };\n      Store.prototype.appendNodes = function appendNodes(nodeDataList, parentNode) {\n        var _this2 = this;\n        nodeDataList = Object(util_[\"coerceTruthyValueToArray\"])(nodeDataList);\n        nodeDataList.forEach(function (nodeData) {\n          return _this2.appendNode(nodeData, parentNode);\n        });\n      };\n      Store.prototype.getNodes = function getNodes() {\n        return this.nodes;\n      };\n      Store.prototype.getFlattedNodes = function getFlattedNodes(leafOnly) {\n        var cached = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true;\n        var cachedNodes = leafOnly ? this.leafNodes : this.flattedNodes;\n        return cached ? cachedNodes : flatNodes(this.nodes, leafOnly);\n      };\n      Store.prototype.getNodeByValue = function getNodeByValue(value) {\n        var nodes = this.getFlattedNodes(false, !this.config.lazy).filter(function (node) {\n          return Object(util_[\"valueEquals\"])(node.path, value) || node.value === value;\n        });\n        return nodes && nodes.length ? nodes[0] : null;\n      };\n      return Store;\n    }();\n\n    /* harmony default export */\n    var src_store = store_Store;\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/merge\"\n    var merge_ = __nested_webpack_require_8436__(9);\n    var merge_default = /*#__PURE__*/__nested_webpack_require_8436__.n(merge_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/aria-utils\"\n    var aria_utils_ = __nested_webpack_require_8436__(41);\n    var aria_utils_default = /*#__PURE__*/__nested_webpack_require_8436__.n(aria_utils_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/scroll-into-view\"\n    var scroll_into_view_ = __nested_webpack_require_8436__(31);\n    var scroll_into_view_default = /*#__PURE__*/__nested_webpack_require_8436__.n(scroll_into_view_);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader-panel/src/cascader-panel.vue?vue&type=script&lang=js&\n    var _extends = Object.assign || function (target) {\n      for (var i = 1; i < arguments.length; i++) {\n        var source = arguments[i];\n        for (var key in source) {\n          if (Object.prototype.hasOwnProperty.call(source, key)) {\n            target[key] = source[key];\n          }\n        }\n      }\n      return target;\n    };\n\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    var KeyCode = aria_utils_default.a.keys;\n    var DefaultProps = {\n      expandTrigger: 'click',\n      // or hover\n      multiple: false,\n      checkStrictly: false,\n      // whether all nodes can be selected\n      emitPath: true,\n      // wether to emit an array of all levels value in which node is located\n      lazy: false,\n      lazyLoad: util_[\"noop\"],\n      value: 'value',\n      label: 'label',\n      children: 'children',\n      leaf: 'leaf',\n      disabled: 'disabled',\n      hoverThreshold: 500\n    };\n    var cascader_panelvue_type_script_lang_js_isLeaf = function isLeaf(el) {\n      return !el.getAttribute('aria-owns');\n    };\n    var getSibling = function getSibling(el, distance) {\n      var parentNode = el.parentNode;\n      if (parentNode) {\n        var siblings = parentNode.querySelectorAll('.el-cascader-node[tabindex=\"-1\"]');\n        var index = Array.prototype.indexOf.call(siblings, el);\n        return siblings[index + distance] || null;\n      }\n      return null;\n    };\n    var getMenuIndex = function getMenuIndex(el, distance) {\n      if (!el) return;\n      var pieces = el.id.split('-');\n      return Number(pieces[pieces.length - 2]);\n    };\n    var focusNode = function focusNode(el) {\n      if (!el) return;\n      el.focus();\n      !cascader_panelvue_type_script_lang_js_isLeaf(el) && el.click();\n    };\n    var checkNode = function checkNode(el) {\n      if (!el) return;\n      var input = el.querySelector('input');\n      if (input) {\n        input.click();\n      } else if (cascader_panelvue_type_script_lang_js_isLeaf(el)) {\n        el.click();\n      }\n    };\n\n    /* harmony default export */\n    var cascader_panelvue_type_script_lang_js_ = {\n      name: 'ElCascaderPanel',\n      components: {\n        CascaderMenu: cascader_menu\n      },\n      props: {\n        value: {},\n        options: Array,\n        props: Object,\n        border: {\n          type: Boolean,\n          default: true\n        },\n        renderLabel: Function\n      },\n      provide: function provide() {\n        return {\n          panel: this\n        };\n      },\n      data: function data() {\n        return {\n          checkedValue: null,\n          checkedNodePaths: [],\n          store: [],\n          menus: [],\n          activePath: [],\n          loadCount: 0\n        };\n      },\n      computed: {\n        config: function config() {\n          return merge_default()(_extends({}, DefaultProps), this.props || {});\n        },\n        multiple: function multiple() {\n          return this.config.multiple;\n        },\n        checkStrictly: function checkStrictly() {\n          return this.config.checkStrictly;\n        },\n        leafOnly: function leafOnly() {\n          return !this.checkStrictly;\n        },\n        isHoverMenu: function isHoverMenu() {\n          return this.config.expandTrigger === 'hover';\n        },\n        renderLabelFn: function renderLabelFn() {\n          return this.renderLabel || this.$scopedSlots.default;\n        }\n      },\n      watch: {\n        value: function value() {\n          this.syncCheckedValue();\n          this.checkStrictly && this.calculateCheckedNodePaths();\n        },\n        options: {\n          handler: function handler() {\n            this.initStore();\n          },\n          immediate: true,\n          deep: true\n        },\n        checkedValue: function checkedValue(val) {\n          if (!Object(util_[\"isEqual\"])(val, this.value)) {\n            this.checkStrictly && this.calculateCheckedNodePaths();\n            this.$emit('input', val);\n            this.$emit('change', val);\n          }\n        }\n      },\n      mounted: function mounted() {\n        if (!this.isEmptyValue(this.value)) {\n          this.syncCheckedValue();\n        }\n      },\n      methods: {\n        initStore: function initStore() {\n          var config = this.config,\n            options = this.options;\n          if (config.lazy && Object(util_[\"isEmpty\"])(options)) {\n            this.lazyLoad();\n          } else {\n            this.store = new src_store(options, config);\n            this.menus = [this.store.getNodes()];\n            this.syncMenuState();\n          }\n        },\n        syncCheckedValue: function syncCheckedValue() {\n          var value = this.value,\n            checkedValue = this.checkedValue;\n          if (!Object(util_[\"isEqual\"])(value, checkedValue)) {\n            this.activePath = [];\n            this.checkedValue = value;\n            this.syncMenuState();\n          }\n        },\n        syncMenuState: function syncMenuState() {\n          var multiple = this.multiple,\n            checkStrictly = this.checkStrictly;\n          this.syncActivePath();\n          multiple && this.syncMultiCheckState();\n          checkStrictly && this.calculateCheckedNodePaths();\n          this.$nextTick(this.scrollIntoView);\n        },\n        syncMultiCheckState: function syncMultiCheckState() {\n          var _this = this;\n          var nodes = this.getFlattedNodes(this.leafOnly);\n          nodes.forEach(function (node) {\n            node.syncCheckState(_this.checkedValue);\n          });\n        },\n        isEmptyValue: function isEmptyValue(val) {\n          var multiple = this.multiple,\n            config = this.config;\n          var emitPath = config.emitPath;\n          if (multiple || emitPath) {\n            return Object(util_[\"isEmpty\"])(val);\n          }\n          return false;\n        },\n        syncActivePath: function syncActivePath() {\n          var _this2 = this;\n          var store = this.store,\n            multiple = this.multiple,\n            activePath = this.activePath,\n            checkedValue = this.checkedValue;\n          if (!Object(util_[\"isEmpty\"])(activePath)) {\n            var nodes = activePath.map(function (node) {\n              return _this2.getNodeByValue(node.getValue());\n            });\n            this.expandNodes(nodes);\n          } else if (!this.isEmptyValue(checkedValue)) {\n            var value = multiple ? checkedValue[0] : checkedValue;\n            var checkedNode = this.getNodeByValue(value) || {};\n            var _nodes = (checkedNode.pathNodes || []).slice(0, -1);\n            this.expandNodes(_nodes);\n          } else {\n            this.activePath = [];\n            this.menus = [store.getNodes()];\n          }\n        },\n        expandNodes: function expandNodes(nodes) {\n          var _this3 = this;\n          nodes.forEach(function (node) {\n            return _this3.handleExpand(node, true /* silent */);\n          });\n        },\n\n        calculateCheckedNodePaths: function calculateCheckedNodePaths() {\n          var _this4 = this;\n          var checkedValue = this.checkedValue,\n            multiple = this.multiple;\n          var checkedValues = multiple ? Object(util_[\"coerceTruthyValueToArray\"])(checkedValue) : [checkedValue];\n          this.checkedNodePaths = checkedValues.map(function (v) {\n            var checkedNode = _this4.getNodeByValue(v);\n            return checkedNode ? checkedNode.pathNodes : [];\n          });\n        },\n        handleKeyDown: function handleKeyDown(e) {\n          var target = e.target,\n            keyCode = e.keyCode;\n          switch (keyCode) {\n            case KeyCode.up:\n              var prev = getSibling(target, -1);\n              focusNode(prev);\n              break;\n            case KeyCode.down:\n              var next = getSibling(target, 1);\n              focusNode(next);\n              break;\n            case KeyCode.left:\n              var preMenu = this.$refs.menu[getMenuIndex(target) - 1];\n              if (preMenu) {\n                var expandedNode = preMenu.$el.querySelector('.el-cascader-node[aria-expanded=\"true\"]');\n                focusNode(expandedNode);\n              }\n              break;\n            case KeyCode.right:\n              var nextMenu = this.$refs.menu[getMenuIndex(target) + 1];\n              if (nextMenu) {\n                var firstNode = nextMenu.$el.querySelector('.el-cascader-node[tabindex=\"-1\"]');\n                focusNode(firstNode);\n              }\n              break;\n            case KeyCode.enter:\n              checkNode(target);\n              break;\n            case KeyCode.esc:\n            case KeyCode.tab:\n              this.$emit('close');\n              break;\n            default:\n              return;\n          }\n        },\n        handleExpand: function handleExpand(node, silent) {\n          var activePath = this.activePath;\n          var level = node.level;\n          var path = activePath.slice(0, level - 1);\n          var menus = this.menus.slice(0, level);\n          if (!node.isLeaf) {\n            path.push(node);\n            menus.push(node.children);\n          }\n          this.activePath = path;\n          this.menus = menus;\n          if (!silent) {\n            var pathValues = path.map(function (node) {\n              return node.getValue();\n            });\n            var activePathValues = activePath.map(function (node) {\n              return node.getValue();\n            });\n            if (!Object(util_[\"valueEquals\"])(pathValues, activePathValues)) {\n              this.$emit('active-item-change', pathValues); // Deprecated\n              this.$emit('expand-change', pathValues);\n            }\n          }\n        },\n        handleCheckChange: function handleCheckChange(value) {\n          this.checkedValue = value;\n        },\n        lazyLoad: function lazyLoad(node, onFullfiled) {\n          var _this5 = this;\n          var config = this.config;\n          if (!node) {\n            node = node || {\n              root: true,\n              level: 0\n            };\n            this.store = new src_store([], config);\n            this.menus = [this.store.getNodes()];\n          }\n          node.loading = true;\n          var resolve = function resolve(dataList) {\n            var parent = node.root ? null : node;\n            dataList && dataList.length && _this5.store.appendNodes(dataList, parent);\n            node.loading = false;\n            node.loaded = true;\n\n            // dispose default value on lazy load mode\n            if (Array.isArray(_this5.checkedValue)) {\n              var nodeValue = _this5.checkedValue[_this5.loadCount++];\n              var valueKey = _this5.config.value;\n              var leafKey = _this5.config.leaf;\n              if (Array.isArray(dataList) && dataList.filter(function (item) {\n                return item[valueKey] === nodeValue;\n              }).length > 0) {\n                var checkedNode = _this5.store.getNodeByValue(nodeValue);\n                if (!checkedNode.data[leafKey]) {\n                  _this5.lazyLoad(checkedNode, function () {\n                    _this5.handleExpand(checkedNode);\n                  });\n                }\n                if (_this5.loadCount === _this5.checkedValue.length) {\n                  _this5.$parent.computePresentText();\n                }\n              }\n            }\n            onFullfiled && onFullfiled(dataList);\n          };\n          config.lazyLoad(node, resolve);\n        },\n        /**\n         * public methods\n        */\n        calculateMultiCheckedValue: function calculateMultiCheckedValue() {\n          this.checkedValue = this.getCheckedNodes(this.leafOnly).map(function (node) {\n            return node.getValueByOption();\n          });\n        },\n        scrollIntoView: function scrollIntoView() {\n          if (this.$isServer) return;\n          var menus = this.$refs.menu || [];\n          menus.forEach(function (menu) {\n            var menuElement = menu.$el;\n            if (menuElement) {\n              var container = menuElement.querySelector('.el-scrollbar__wrap');\n              var activeNode = menuElement.querySelector('.el-cascader-node.is-active') || menuElement.querySelector('.el-cascader-node.in-active-path');\n              scroll_into_view_default()(container, activeNode);\n            }\n          });\n        },\n        getNodeByValue: function getNodeByValue(val) {\n          return this.store.getNodeByValue(val);\n        },\n        getFlattedNodes: function getFlattedNodes(leafOnly) {\n          var cached = !this.config.lazy;\n          return this.store.getFlattedNodes(leafOnly, cached);\n        },\n        getCheckedNodes: function getCheckedNodes(leafOnly) {\n          var checkedValue = this.checkedValue,\n            multiple = this.multiple;\n          if (multiple) {\n            var nodes = this.getFlattedNodes(leafOnly);\n            return nodes.filter(function (node) {\n              return node.checked;\n            });\n          } else {\n            return this.isEmptyValue(checkedValue) ? [] : [this.getNodeByValue(checkedValue)];\n          }\n        },\n        clearCheckedNodes: function clearCheckedNodes() {\n          var config = this.config,\n            leafOnly = this.leafOnly;\n          var multiple = config.multiple,\n            emitPath = config.emitPath;\n          if (multiple) {\n            this.getCheckedNodes(leafOnly).filter(function (node) {\n              return !node.isDisabled;\n            }).forEach(function (node) {\n              return node.doCheck(false);\n            });\n            this.calculateMultiCheckedValue();\n          } else {\n            this.checkedValue = emitPath ? [] : null;\n          }\n        }\n      }\n    };\n    // CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-panel.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_cascader_panelvue_type_script_lang_js_ = cascader_panelvue_type_script_lang_js_;\n    // CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-panel.vue\n\n    /* normalize component */\n\n    var cascader_panel_component = Object(componentNormalizer[\"a\" /* default */])(src_cascader_panelvue_type_script_lang_js_, cascader_panelvue_type_template_id_34932346_render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var cascader_panel_api; }\n    cascader_panel_component.options.__file = \"packages/cascader-panel/src/cascader-panel.vue\";\n    /* harmony default export */\n    var cascader_panel = cascader_panel_component.exports;\n    // CONCATENATED MODULE: ./packages/cascader-panel/index.js\n\n    /* istanbul ignore next */\n    cascader_panel.install = function (Vue) {\n      Vue.component(cascader_panel.name, cascader_panel);\n    };\n\n    /* harmony default export */\n    var packages_cascader_panel = __webpack_exports__[\"default\"] = cascader_panel;\n\n    /***/\n  },\n\n  /***/9: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/merge */ \"./node_modules/element-ui/lib/utils/merge.js\");\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/cascader-panel.js?");
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? 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[_vm._v(_vm._s(_vm.label))] : _vm._e()], 2) : _vm._e()]);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/checkbox/src/checkbox.vue?vue&type=template&id=d0387074&\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/emitter\"\n    var emitter_ = __nested_webpack_require_7403__(4);\n    var emitter_default = /*#__PURE__*/__nested_webpack_require_7403__.n(emitter_);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/checkbox/src/checkbox.vue?vue&type=script&lang=js&\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var checkboxvue_type_script_lang_js_ = {\n      name: 'ElCheckbox',\n      mixins: [emitter_default.a],\n      inject: {\n        elForm: {\n          default: ''\n        },\n        elFormItem: {\n          default: ''\n        }\n      },\n      componentName: 'ElCheckbox',\n      data: function data() {\n        return {\n          selfModel: false,\n          focus: false,\n          isLimitExceeded: false\n        };\n      },\n      computed: {\n        model: {\n          get: function get() {\n            return this.isGroup ? this.store : this.value !== undefined ? this.value : this.selfModel;\n          },\n          set: function set(val) {\n            if (this.isGroup) {\n              this.isLimitExceeded = false;\n              this._checkboxGroup.min !== undefined && val.length < this._checkboxGroup.min && (this.isLimitExceeded = true);\n              this._checkboxGroup.max !== undefined && val.length > this._checkboxGroup.max && (this.isLimitExceeded = true);\n              this.isLimitExceeded === false && this.dispatch('ElCheckboxGroup', 'input', [val]);\n            } else {\n              this.$emit('input', val);\n              this.selfModel = val;\n            }\n          }\n        },\n        isChecked: function isChecked() {\n          if ({}.toString.call(this.model) === '[object Boolean]') {\n            return this.model;\n          } else if (Array.isArray(this.model)) {\n            return this.model.indexOf(this.label) > -1;\n          } else if (this.model !== null && this.model !== undefined) {\n            return this.model === this.trueLabel;\n          }\n        },\n        isGroup: function isGroup() {\n          var parent = this.$parent;\n          while (parent) {\n            if (parent.$options.componentName !== 'ElCheckboxGroup') {\n              parent = parent.$parent;\n            } else {\n              this._checkboxGroup = parent;\n              return true;\n            }\n          }\n          return false;\n        },\n        store: function store() {\n          return this._checkboxGroup ? this._checkboxGroup.value : this.value;\n        },\n        /* used to make the isDisabled judgment under max/min props */\n        isLimitDisabled: function isLimitDisabled() {\n          var _checkboxGroup = this._checkboxGroup,\n            max = _checkboxGroup.max,\n            min = _checkboxGroup.min;\n          return !!(max || min) && this.model.length >= max && !this.isChecked || this.model.length <= min && this.isChecked;\n        },\n        isDisabled: function isDisabled() {\n          return this.isGroup ? this._checkboxGroup.disabled || this.disabled || (this.elForm || {}).disabled || this.isLimitDisabled : this.disabled || (this.elForm || {}).disabled;\n        },\n        _elFormItemSize: function _elFormItemSize() {\n          return (this.elFormItem || {}).elFormItemSize;\n        },\n        checkboxSize: function checkboxSize() {\n          var temCheckboxSize = this.size || this._elFormItemSize || (this.$ELEMENT || {}).size;\n          return this.isGroup ? this._checkboxGroup.checkboxGroupSize || temCheckboxSize : temCheckboxSize;\n        }\n      },\n      props: {\n        value: {},\n        label: {},\n        indeterminate: Boolean,\n        disabled: Boolean,\n        checked: Boolean,\n        name: String,\n        trueLabel: [String, Number],\n        falseLabel: [String, Number],\n        id: String,\n        /* 当indeterminate为真时，为controls提供相关连的checkbox的id，表明元素间的控制关系*/\n        controls: String,\n        /* 当indeterminate为真时，为controls提供相关连的checkbox的id，表明元素间的控制关系*/\n        border: Boolean,\n        size: String\n      },\n      methods: {\n        addToStore: function addToStore() {\n          if (Array.isArray(this.model) && this.model.indexOf(this.label) === -1) {\n            this.model.push(this.label);\n          } else {\n            this.model = this.trueLabel || true;\n          }\n        },\n        handleChange: function handleChange(ev) {\n          var _this = this;\n          if (this.isLimitExceeded) return;\n          var value = void 0;\n          if (ev.target.checked) {\n            value = this.trueLabel === undefined ? true : this.trueLabel;\n          } else {\n            value = this.falseLabel === undefined ? false : this.falseLabel;\n          }\n          this.$emit('change', value, ev);\n          this.$nextTick(function () {\n            if (_this.isGroup) {\n              _this.dispatch('ElCheckboxGroup', 'change', [_this._checkboxGroup.value]);\n            }\n          });\n        }\n      },\n      created: function created() {\n        this.checked && this.addToStore();\n      },\n      mounted: function mounted() {\n        // 为indeterminate元素 添加aria-controls 属性\n        if (this.indeterminate) {\n          this.$el.setAttribute('aria-controls', this.controls);\n        }\n      },\n      watch: {\n        value: function value(_value) {\n          this.dispatch('ElFormItem', 'el.form.change', _value);\n        }\n      }\n    };\n    // CONCATENATED MODULE: ./packages/checkbox/src/checkbox.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_checkboxvue_type_script_lang_js_ = checkboxvue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_7403__(0);\n\n    // CONCATENATED MODULE: ./packages/checkbox/src/checkbox.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_checkboxvue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/checkbox/src/checkbox.vue\";\n    /* harmony default export */\n    var src_checkbox = component.exports;\n    // CONCATENATED MODULE: ./packages/checkbox/index.js\n\n    /* istanbul ignore next */\n    src_checkbox.install = function (Vue) {\n      Vue.component(src_checkbox.name, src_checkbox);\n    };\n\n    /* harmony default export */\n    var packages_checkbox = __webpack_exports__[\"default\"] = src_checkbox;\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/checkbox.js?");
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/***/function(module,__webpack_exports__,__nested_webpack_require_8056__){\"use strict\";__nested_webpack_require_8056__.r(__webpack_exports__);// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/pagination/src/pager.vue?vue&type=template&id=7274f267&\nvar pagervue_type_template_id_7274f267_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"ul\",{staticClass:\"el-pager\",on:{click:_vm.onPagerClick}},[_vm.pageCount>0?_c(\"li\",{staticClass:\"number\",class:{active:_vm.currentPage===1,disabled:_vm.disabled}},[_vm._v(\"1\")]):_vm._e(),_vm.showPrevMore?_c(\"li\",{staticClass:\"el-icon more btn-quickprev\",class:[_vm.quickprevIconClass,{disabled:_vm.disabled}],on:{mouseenter:function($event){_vm.onMouseenter(\"left\");},mouseleave:function($event){_vm.quickprevIconClass=\"el-icon-more\";}}}):_vm._e(),_vm._l(_vm.pagers,function(pager){return _c(\"li\",{key:pager,staticClass:\"number\",class:{active:_vm.currentPage===pager,disabled:_vm.disabled}},[_vm._v(_vm._s(pager))]);}),_vm.showNextMore?_c(\"li\",{staticClass:\"el-icon more btn-quicknext\",class:[_vm.quicknextIconClass,{disabled:_vm.disabled}],on:{mouseenter:function($event){_vm.onMouseenter(\"right\");},mouseleave:function($event){_vm.quicknextIconClass=\"el-icon-more\";}}}):_vm._e(),_vm.pageCount>1?_c(\"li\",{staticClass:\"number\",class:{active:_vm.currentPage===_vm.pageCount,disabled:_vm.disabled}},[_vm._v(_vm._s(_vm.pageCount))]):_vm._e()],2);};var staticRenderFns=[];pagervue_type_template_id_7274f267_render._withStripped=true;// CONCATENATED MODULE: ./packages/pagination/src/pager.vue?vue&type=template&id=7274f267&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/pagination/src/pager.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var pagervue_type_script_lang_js_={name:'ElPager',props:{currentPage:Number,pageCount:Number,pagerCount:Number,disabled:Boolean},watch:{showPrevMore:function showPrevMore(val){if(!val)this.quickprevIconClass='el-icon-more';},showNextMore:function showNextMore(val){if(!val)this.quicknextIconClass='el-icon-more';}},methods:{onPagerClick:function onPagerClick(event){var target=event.target;if(target.tagName==='UL'||this.disabled){return;}var newPage=Number(event.target.textContent);var pageCount=this.pageCount;var currentPage=this.currentPage;var pagerCountOffset=this.pagerCount-2;if(target.className.indexOf('more')!==-1){if(target.className.indexOf('quickprev')!==-1){newPage=currentPage-pagerCountOffset;}else if(target.className.indexOf('quicknext')!==-1){newPage=currentPage+pagerCountOffset;}}/* istanbul ignore if */if(!isNaN(newPage)){if(newPage<1){newPage=1;}if(newPage>pageCount){newPage=pageCount;}}if(newPage!==currentPage){this.$emit('change',newPage);}},onMouseenter:function onMouseenter(direction){if(this.disabled)return;if(direction==='left'){this.quickprevIconClass='el-icon-d-arrow-left';}else{this.quicknextIconClass='el-icon-d-arrow-right';}}},computed:{pagers:function pagers(){var pagerCount=this.pagerCount;var halfPagerCount=(pagerCount-1)/2;var currentPage=Number(this.currentPage);var pageCount=Number(this.pageCount);var showPrevMore=false;var showNextMore=false;if(pageCount>pagerCount){if(currentPage>pagerCount-halfPagerCount){showPrevMore=true;}if(currentPage<pageCount-halfPagerCount){showNextMore=true;}}var array=[];if(showPrevMore&&!showNextMore){var startPage=pageCount-(pagerCount-2);for(var i=startPage;i<pageCount;i++){array.push(i);}}else if(!showPrevMore&&showNextMore){for(var _i=2;_i<pagerCount;_i++){array.push(_i);}}else if(showPrevMore&&showNextMore){var offset=Math.floor(pagerCount/2)-1;for(var _i2=currentPage-offset;_i2<=currentPage+offset;_i2++){array.push(_i2);}}else{for(var _i3=2;_i3<pageCount;_i3++){array.push(_i3);}}this.showPrevMore=showPrevMore;this.showNextMore=showNextMore;return array;}},data:function data(){return{current:null,showPrevMore:false,showNextMore:false,quicknextIconClass:'el-icon-more',quickprevIconClass:'el-icon-more'};}};// CONCATENATED MODULE: ./packages/pagination/src/pager.vue?vue&type=script&lang=js&\n/* harmony default export */var src_pagervue_type_script_lang_js_=pagervue_type_script_lang_js_;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n/* globals __VUE_SSR_CONTEXT__ */ // IMPORTANT: Do NOT use ES2015 features in this file (except for modules).\n// This module is a runtime utility for cleaner component module output and will\n// be included in the final webpack user bundle.\nfunction normalizeComponent(scriptExports,render,staticRenderFns,functionalTemplate,injectStyles,scopeId,moduleIdentifier,/* server only */shadowMode/* vue-cli only */){// Vue.extend constructor export interop\nvar options=typeof scriptExports==='function'?scriptExports.options:scriptExports;// render functions\nif(render){options.render=render;options.staticRenderFns=staticRenderFns;options._compiled=true;}// functional template\nif(functionalTemplate){options.functional=true;}// scopedId\nif(scopeId){options._scopeId='data-v-'+scopeId;}var hook;if(moduleIdentifier){// server build\nhook=function(context){// 2.3 injection\ncontext=context||// cached call\nthis.$vnode&&this.$vnode.ssrContext||// stateful\nthis.parent&&this.parent.$vnode&&this.parent.$vnode.ssrContext;// functional\n// 2.2 with runInNewContext: true\nif(!context&&typeof __VUE_SSR_CONTEXT__!=='undefined'){context=__VUE_SSR_CONTEXT__;}// inject component styles\nif(injectStyles){injectStyles.call(this,context);}// register component module identifier for async chunk inferrence\nif(context&&context._registeredComponents){context._registeredComponents.add(moduleIdentifier);}};// used by ssr in case component is cached and beforeCreate\n// never gets called\noptions._ssrRegister=hook;}else if(injectStyles){hook=shadowMode?function(){injectStyles.call(this,this.$root.$options.shadowRoot);}:injectStyles;}if(hook){if(options.functional){// for template-only hot-reload because in that case the render fn doesn't\n// go through the normalizer\noptions._injectStyles=hook;// register for functioal component in vue file\nvar originalRender=options.render;options.render=function renderWithStyleInjection(h,context){hook.call(context);return originalRender(h,context);};}else{// inject component registration as beforeCreate hook\nvar existing=options.beforeCreate;options.beforeCreate=existing?[].concat(existing,hook):[hook];}}return{exports:scriptExports,options:options};}// CONCATENATED MODULE: ./packages/pagination/src/pager.vue\n/* normalize component */var component=normalizeComponent(src_pagervue_type_script_lang_js_,pagervue_type_template_id_7274f267_render,staticRenderFns,false,null,null,null);/* hot reload */if(false){ var api; }component.options.__file=\"packages/pagination/src/pager.vue\";/* harmony default export */var pager=component.exports;// EXTERNAL MODULE: external \"element-ui/lib/select\"\nvar select_=__nested_webpack_require_8056__(37);var select_default=/*#__PURE__*/__nested_webpack_require_8056__.n(select_);// EXTERNAL MODULE: external \"element-ui/lib/option\"\nvar option_=__nested_webpack_require_8056__(38);var option_default=/*#__PURE__*/__nested_webpack_require_8056__.n(option_);// EXTERNAL MODULE: external \"element-ui/lib/input\"\nvar input_=__nested_webpack_require_8056__(8);var input_default=/*#__PURE__*/__nested_webpack_require_8056__.n(input_);// EXTERNAL MODULE: external \"element-ui/lib/mixins/locale\"\nvar locale_=__nested_webpack_require_8056__(4);var locale_default=/*#__PURE__*/__nested_webpack_require_8056__.n(locale_);// EXTERNAL MODULE: external \"element-ui/lib/utils/util\"\nvar util_=__nested_webpack_require_8056__(2);// CONCATENATED MODULE: ./packages/pagination/src/pagination.js\n/* harmony default export */var pagination={name:'ElPagination',props:{pageSize:{type:Number,default:10},small:Boolean,total:Number,pageCount:Number,pagerCount:{type:Number,validator:function validator(value){return(value|0)===value&&value>4&&value<22&&value%2===1;},default:7},currentPage:{type:Number,default:1},layout:{default:'prev, pager, next, jumper, ->, total'},pageSizes:{type:Array,default:function _default(){return[10,20,30,40,50,100];}},popperClass:String,prevText:String,nextText:String,background:Boolean,disabled:Boolean,hideOnSinglePage:Boolean},data:function data(){return{internalCurrentPage:1,internalPageSize:0,lastEmittedPage:-1,userChangePageSize:false};},render:function render(h){var layout=this.layout;if(!layout)return null;if(this.hideOnSinglePage&&(!this.internalPageCount||this.internalPageCount===1))return null;var template=h('div',{'class':['el-pagination',{'is-background':this.background,'el-pagination--small':this.small}]});var TEMPLATE_MAP={prev:h('prev'),jumper:h('jumper'),pager:h('pager',{attrs:{currentPage:this.internalCurrentPage,pageCount:this.internalPageCount,pagerCount:this.pagerCount,disabled:this.disabled},on:{'change':this.handleCurrentChange}}),next:h('next'),sizes:h('sizes',{attrs:{pageSizes:this.pageSizes}}),slot:h('slot',[this.$slots.default?this.$slots.default:'']),total:h('total')};var components=layout.split(',').map(function(item){return item.trim();});var rightWrapper=h('div',{'class':'el-pagination__rightwrapper'});var haveRightWrapper=false;template.children=template.children||[];rightWrapper.children=rightWrapper.children||[];components.forEach(function(compo){if(compo==='->'){haveRightWrapper=true;return;}if(!haveRightWrapper){template.children.push(TEMPLATE_MAP[compo]);}else{rightWrapper.children.push(TEMPLATE_MAP[compo]);}});if(haveRightWrapper){template.children.unshift(rightWrapper);}return template;},components:{Prev:{render:function render(h){return h('button',{attrs:{type:'button',disabled:this.$parent.disabled||this.$parent.internalCurrentPage<=1},'class':'btn-prev',on:{'click':this.$parent.prev}},[this.$parent.prevText?h('span',[this.$parent.prevText]):h('i',{'class':'el-icon el-icon-arrow-left'})]);}},Next:{render:function render(h){return h('button',{attrs:{type:'button',disabled:this.$parent.disabled||this.$parent.internalCurrentPage===this.$parent.internalPageCount||this.$parent.internalPageCount===0},'class':'btn-next',on:{'click':this.$parent.next}},[this.$parent.nextText?h('span',[this.$parent.nextText]):h('i',{'class':'el-icon el-icon-arrow-right'})]);}},Sizes:{mixins:[locale_default.a],props:{pageSizes:Array},watch:{pageSizes:{immediate:true,handler:function handler(newVal,oldVal){if(Object(util_[\"valueEquals\"])(newVal,oldVal))return;if(Array.isArray(newVal)){this.$parent.internalPageSize=newVal.indexOf(this.$parent.pageSize)>-1?this.$parent.pageSize:this.pageSizes[0];}}}},render:function render(h){var _this=this;return h('span',{'class':'el-pagination__sizes'},[h('el-select',{attrs:{value:this.$parent.internalPageSize,popperClass:this.$parent.popperClass||'',size:'mini',disabled:this.$parent.disabled},on:{'input':this.handleChange}},[this.pageSizes.map(function(item){return h('el-option',{attrs:{value:item,label:item+_this.t('el.pagination.pagesize')}});})])]);},components:{ElSelect:select_default.a,ElOption:option_default.a},methods:{handleChange:function handleChange(val){if(val!==this.$parent.internalPageSize){this.$parent.internalPageSize=val=parseInt(val,10);this.$parent.userChangePageSize=true;this.$parent.$emit('update:pageSize',val);this.$parent.$emit('size-change',val);}}}},Jumper:{mixins:[locale_default.a],components:{ElInput:input_default.a},data:function data(){return{userInput:null};},watch:{'$parent.internalCurrentPage':function $parentInternalCurrentPage(){this.userInput=null;}},methods:{handleKeyup:function handleKeyup(_ref){var keyCode=_ref.keyCode,target=_ref.target;// Chrome, Safari, Firefox triggers change event on Enter\n// Hack for IE: https://github.com/ElemeFE/element/issues/11710\n// Drop this method when we no longer supports IE\nif(keyCode===13){this.handleChange(target.value);}},handleInput:function handleInput(value){this.userInput=value;},handleChange:function handleChange(value){this.$parent.internalCurrentPage=this.$parent.getValidCurrentPage(value);this.$parent.emitChange();this.userInput=null;}},render:function render(h){return h('span',{'class':'el-pagination__jump'},[this.t('el.pagination.goto'),h('el-input',{'class':'el-pagination__editor is-in-pagination',attrs:{min:1,max:this.$parent.internalPageCount,value:this.userInput!==null?this.userInput:this.$parent.internalCurrentPage,type:'number',disabled:this.$parent.disabled},nativeOn:{'keyup':this.handleKeyup},on:{'input':this.handleInput,'change':this.handleChange}}),this.t('el.pagination.pageClassifier')]);}},Total:{mixins:[locale_default.a],render:function render(h){return typeof this.$parent.total==='number'?h('span',{'class':'el-pagination__total'},[this.t('el.pagination.total',{total:this.$parent.total})]):'';}},Pager:pager},methods:{handleCurrentChange:function handleCurrentChange(val){this.internalCurrentPage=this.getValidCurrentPage(val);this.userChangePageSize=true;this.emitChange();},prev:function prev(){if(this.disabled)return;var newVal=this.internalCurrentPage-1;this.internalCurrentPage=this.getValidCurrentPage(newVal);this.$emit('prev-click',this.internalCurrentPage);this.emitChange();},next:function next(){if(this.disabled)return;var newVal=this.internalCurrentPage+1;this.internalCurrentPage=this.getValidCurrentPage(newVal);this.$emit('next-click',this.internalCurrentPage);this.emitChange();},getValidCurrentPage:function getValidCurrentPage(value){value=parseInt(value,10);var havePageCount=typeof this.internalPageCount==='number';var resetValue=void 0;if(!havePageCount){if(isNaN(value)||value<1)resetValue=1;}else{if(value<1){resetValue=1;}else if(value>this.internalPageCount){resetValue=this.internalPageCount;}}if(resetValue===undefined&&isNaN(value)){resetValue=1;}else if(resetValue===0){resetValue=1;}return resetValue===undefined?value:resetValue;},emitChange:function emitChange(){var _this2=this;this.$nextTick(function(){if(_this2.internalCurrentPage!==_this2.lastEmittedPage||_this2.userChangePageSize){_this2.$emit('current-change',_this2.internalCurrentPage);_this2.lastEmittedPage=_this2.internalCurrentPage;_this2.userChangePageSize=false;}});}},computed:{internalPageCount:function internalPageCount(){if(typeof this.total==='number'){return Math.max(1,Math.ceil(this.total/this.internalPageSize));}else if(typeof this.pageCount==='number'){return Math.max(1,this.pageCount);}return null;}},watch:{currentPage:{immediate:true,handler:function handler(val){this.internalCurrentPage=this.getValidCurrentPage(val);}},pageSize:{immediate:true,handler:function handler(val){this.internalPageSize=isNaN(val)?10:val;}},internalCurrentPage:{immediate:true,handler:function handler(newVal){this.$emit('update:currentPage',newVal);this.lastEmittedPage=-1;}},internalPageCount:function internalPageCount(newVal){/* istanbul ignore if */var oldPage=this.internalCurrentPage;if(newVal>0&&oldPage===0){this.internalCurrentPage=1;}else if(oldPage>newVal){this.internalCurrentPage=newVal===0?1:newVal;this.userChangePageSize&&this.emitChange();}this.userChangePageSize=false;}}};// CONCATENATED MODULE: ./packages/pagination/index.js\n/* istanbul ignore next */pagination.install=function(Vue){Vue.component(pagination.name,pagination);};/* harmony default export */var packages_pagination=pagination;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/dialog/src/component.vue?vue&type=template&id=60140e62&\nvar componentvue_type_template_id_60140e62_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"dialog-fade\"},on:{\"after-enter\":_vm.afterEnter,\"after-leave\":_vm.afterLeave}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-dialog__wrapper\",on:{click:function($event){if($event.target!==$event.currentTarget){return null;}return _vm.handleWrapperClick($event);}}},[_c(\"div\",{key:_vm.key,ref:\"dialog\",class:[\"el-dialog\",{\"is-fullscreen\":_vm.fullscreen,\"el-dialog--center\":_vm.center},_vm.customClass],style:_vm.style,attrs:{role:\"dialog\",\"aria-modal\":\"true\",\"aria-label\":_vm.title||\"dialog\"}},[_c(\"div\",{staticClass:\"el-dialog__header\"},[_vm._t(\"title\",[_c(\"span\",{staticClass:\"el-dialog__title\"},[_vm._v(_vm._s(_vm.title))])]),_vm.showClose?_c(\"button\",{staticClass:\"el-dialog__headerbtn\",attrs:{type:\"button\",\"aria-label\":\"Close\"},on:{click:_vm.handleClose}},[_c(\"i\",{staticClass:\"el-dialog__close el-icon el-icon-close\"})]):_vm._e()],2),_vm.rendered?_c(\"div\",{staticClass:\"el-dialog__body\"},[_vm._t(\"default\")],2):_vm._e(),_vm.$slots.footer?_c(\"div\",{staticClass:\"el-dialog__footer\"},[_vm._t(\"footer\")],2):_vm._e()])])]);};var componentvue_type_template_id_60140e62_staticRenderFns=[];componentvue_type_template_id_60140e62_render._withStripped=true;// CONCATENATED MODULE: ./packages/dialog/src/component.vue?vue&type=template&id=60140e62&\n// EXTERNAL MODULE: external \"element-ui/lib/utils/popup\"\nvar popup_=__nested_webpack_require_8056__(11);var popup_default=/*#__PURE__*/__nested_webpack_require_8056__.n(popup_);// EXTERNAL MODULE: external \"element-ui/lib/mixins/migrating\"\nvar migrating_=__nested_webpack_require_8056__(9);var migrating_default=/*#__PURE__*/__nested_webpack_require_8056__.n(migrating_);// EXTERNAL MODULE: external \"element-ui/lib/mixins/emitter\"\nvar emitter_=__nested_webpack_require_8056__(3);var emitter_default=/*#__PURE__*/__nested_webpack_require_8056__.n(emitter_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/dialog/src/component.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var componentvue_type_script_lang_js_={name:'ElDialog',mixins:[popup_default.a,emitter_default.a,migrating_default.a],props:{title:{type:String,default:''},modal:{type:Boolean,default:true},modalAppendToBody:{type:Boolean,default:true},appendToBody:{type:Boolean,default:false},lockScroll:{type:Boolean,default:true},closeOnClickModal:{type:Boolean,default:true},closeOnPressEscape:{type:Boolean,default:true},showClose:{type:Boolean,default:true},width:String,fullscreen:Boolean,customClass:{type:String,default:''},top:{type:String,default:'15vh'},beforeClose:Function,center:{type:Boolean,default:false},destroyOnClose:Boolean},data:function data(){return{closed:false,key:0};},watch:{visible:function visible(val){var _this=this;if(val){this.closed=false;this.$emit('open');this.$el.addEventListener('scroll',this.updatePopper);this.$nextTick(function(){_this.$refs.dialog.scrollTop=0;});if(this.appendToBody){document.body.appendChild(this.$el);}}else{this.$el.removeEventListener('scroll',this.updatePopper);if(!this.closed)this.$emit('close');if(this.destroyOnClose){this.$nextTick(function(){_this.key++;});}}}},computed:{style:function style(){var style={};if(!this.fullscreen){style.marginTop=this.top;if(this.width){style.width=this.width;}}return style;}},methods:{getMigratingConfig:function getMigratingConfig(){return{props:{'size':'size is removed.'}};},handleWrapperClick:function handleWrapperClick(){if(!this.closeOnClickModal)return;this.handleClose();},handleClose:function handleClose(){if(typeof this.beforeClose==='function'){this.beforeClose(this.hide);}else{this.hide();}},hide:function hide(cancel){if(cancel!==false){this.$emit('update:visible',false);this.$emit('close');this.closed=true;}},updatePopper:function updatePopper(){this.broadcast('ElSelectDropdown','updatePopper');this.broadcast('ElDropdownMenu','updatePopper');},afterEnter:function afterEnter(){this.$emit('opened');},afterLeave:function afterLeave(){this.$emit('closed');}},mounted:function mounted(){if(this.visible){this.rendered=true;this.open();if(this.appendToBody){document.body.appendChild(this.$el);}}},destroyed:function destroyed(){// if appendToBody is true, remove DOM node after destroy\nif(this.appendToBody&&this.$el&&this.$el.parentNode){this.$el.parentNode.removeChild(this.$el);}}};// CONCATENATED MODULE: ./packages/dialog/src/component.vue?vue&type=script&lang=js&\n/* harmony default export */var src_componentvue_type_script_lang_js_=componentvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/dialog/src/component.vue\n/* normalize component */var component_component=normalizeComponent(src_componentvue_type_script_lang_js_,componentvue_type_template_id_60140e62_render,componentvue_type_template_id_60140e62_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var component_api; }component_component.options.__file=\"packages/dialog/src/component.vue\";/* harmony default export */var src_component=component_component.exports;// CONCATENATED MODULE: ./packages/dialog/index.js\n/* istanbul ignore next */src_component.install=function(Vue){Vue.component(src_component.name,src_component);};/* harmony default export */var dialog=src_component;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/autocomplete/src/autocomplete.vue?vue&type=template&id=152f2ee6&\nvar autocompletevue_type_template_id_152f2ee6_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.close,expression:\"close\"}],staticClass:\"el-autocomplete\",attrs:{\"aria-haspopup\":\"listbox\",role:\"combobox\",\"aria-expanded\":_vm.suggestionVisible,\"aria-owns\":_vm.id}},[_c(\"el-input\",_vm._b({ref:\"input\",on:{input:_vm.handleInput,change:_vm.handleChange,focus:_vm.handleFocus,blur:_vm.handleBlur,clear:_vm.handleClear},nativeOn:{keydown:[function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"up\",38,$event.key,[\"Up\",\"ArrowUp\"])){return null;}$event.preventDefault();_vm.highlight(_vm.highlightedIndex-1);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"down\",40,$event.key,[\"Down\",\"ArrowDown\"])){return null;}$event.preventDefault();_vm.highlight(_vm.highlightedIndex+1);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}return _vm.handleKeyEnter($event);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"tab\",9,$event.key,\"Tab\")){return null;}return _vm.close($event);}]}},\"el-input\",[_vm.$props,_vm.$attrs],false),[_vm.$slots.prepend?_c(\"template\",{slot:\"prepend\"},[_vm._t(\"prepend\")],2):_vm._e(),_vm.$slots.append?_c(\"template\",{slot:\"append\"},[_vm._t(\"append\")],2):_vm._e(),_vm.$slots.prefix?_c(\"template\",{slot:\"prefix\"},[_vm._t(\"prefix\")],2):_vm._e(),_vm.$slots.suffix?_c(\"template\",{slot:\"suffix\"},[_vm._t(\"suffix\")],2):_vm._e()],2),_c(\"el-autocomplete-suggestions\",{ref:\"suggestions\",class:[_vm.popperClass?_vm.popperClass:\"\"],attrs:{\"visible-arrow\":\"\",\"popper-options\":_vm.popperOptions,\"append-to-body\":_vm.popperAppendToBody,placement:_vm.placement,id:_vm.id}},_vm._l(_vm.suggestions,function(item,index){return _c(\"li\",{key:index,class:{highlighted:_vm.highlightedIndex===index},attrs:{id:_vm.id+\"-item-\"+index,role:\"option\",\"aria-selected\":_vm.highlightedIndex===index},on:{click:function($event){_vm.select(item);}}},[_vm._t(\"default\",[_vm._v(\"\\n        \"+_vm._s(item[_vm.valueKey])+\"\\n      \")],{item:item})],2);}),0)],1);};var autocompletevue_type_template_id_152f2ee6_staticRenderFns=[];autocompletevue_type_template_id_152f2ee6_render._withStripped=true;// CONCATENATED MODULE: ./packages/autocomplete/src/autocomplete.vue?vue&type=template&id=152f2ee6&\n// EXTERNAL MODULE: external \"throttle-debounce/debounce\"\nvar debounce_=__nested_webpack_require_8056__(17);var debounce_default=/*#__PURE__*/__nested_webpack_require_8056__.n(debounce_);// EXTERNAL MODULE: external \"element-ui/lib/utils/clickoutside\"\nvar clickoutside_=__nested_webpack_require_8056__(10);var clickoutside_default=/*#__PURE__*/__nested_webpack_require_8056__.n(clickoutside_);// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/autocomplete/src/autocomplete-suggestions.vue?vue&type=template&id=cd10dcf0&\nvar autocomplete_suggestionsvue_type_template_id_cd10dcf0_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"after-leave\":_vm.doDestroy}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.showPopper,expression:\"showPopper\"}],staticClass:\"el-autocomplete-suggestion el-popper\",class:{\"is-loading\":!_vm.parent.hideLoading&&_vm.parent.loading},style:{width:_vm.dropdownWidth},attrs:{role:\"region\"}},[_c(\"el-scrollbar\",{attrs:{tag:\"ul\",\"wrap-class\":\"el-autocomplete-suggestion__wrap\",\"view-class\":\"el-autocomplete-suggestion__list\"}},[!_vm.parent.hideLoading&&_vm.parent.loading?_c(\"li\",[_c(\"i\",{staticClass:\"el-icon-loading\"})]):_vm._t(\"default\")],2)],1)]);};var autocomplete_suggestionsvue_type_template_id_cd10dcf0_staticRenderFns=[];autocomplete_suggestionsvue_type_template_id_cd10dcf0_render._withStripped=true;// CONCATENATED MODULE: ./packages/autocomplete/src/autocomplete-suggestions.vue?vue&type=template&id=cd10dcf0&\n// EXTERNAL MODULE: external \"element-ui/lib/utils/vue-popper\"\nvar vue_popper_=__nested_webpack_require_8056__(5);var vue_popper_default=/*#__PURE__*/__nested_webpack_require_8056__.n(vue_popper_);// EXTERNAL MODULE: external \"element-ui/lib/scrollbar\"\nvar scrollbar_=__nested_webpack_require_8056__(18);var scrollbar_default=/*#__PURE__*/__nested_webpack_require_8056__.n(scrollbar_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/autocomplete/src/autocomplete-suggestions.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var autocomplete_suggestionsvue_type_script_lang_js_={components:{ElScrollbar:scrollbar_default.a},mixins:[vue_popper_default.a,emitter_default.a],componentName:'ElAutocompleteSuggestions',data:function data(){return{parent:this.$parent,dropdownWidth:''};},props:{options:{default:function _default(){return{gpuAcceleration:false};}},id:String},methods:{select:function select(item){this.dispatch('ElAutocomplete','item-click',item);}},updated:function updated(){var _this=this;this.$nextTick(function(_){_this.popperJS&&_this.updatePopper();});},mounted:function mounted(){this.$parent.popperElm=this.popperElm=this.$el;this.referenceElm=this.$parent.$refs.input.$refs.input||this.$parent.$refs.input.$refs.textarea;this.referenceList=this.$el.querySelector('.el-autocomplete-suggestion__list');this.referenceList.setAttribute('role','listbox');this.referenceList.setAttribute('id',this.id);},created:function created(){var _this2=this;this.$on('visible',function(val,inputWidth){_this2.dropdownWidth=inputWidth+'px';_this2.showPopper=val;});}};// CONCATENATED MODULE: ./packages/autocomplete/src/autocomplete-suggestions.vue?vue&type=script&lang=js&\n/* harmony default export */var src_autocomplete_suggestionsvue_type_script_lang_js_=autocomplete_suggestionsvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/autocomplete/src/autocomplete-suggestions.vue\n/* normalize component */var autocomplete_suggestions_component=normalizeComponent(src_autocomplete_suggestionsvue_type_script_lang_js_,autocomplete_suggestionsvue_type_template_id_cd10dcf0_render,autocomplete_suggestionsvue_type_template_id_cd10dcf0_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var autocomplete_suggestions_api; }autocomplete_suggestions_component.options.__file=\"packages/autocomplete/src/autocomplete-suggestions.vue\";/* harmony default export */var autocomplete_suggestions=autocomplete_suggestions_component.exports;// EXTERNAL MODULE: external \"element-ui/lib/mixins/focus\"\nvar focus_=__nested_webpack_require_8056__(23);var focus_default=/*#__PURE__*/__nested_webpack_require_8056__.n(focus_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/autocomplete/src/autocomplete.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var autocompletevue_type_script_lang_js_={name:'ElAutocomplete',mixins:[emitter_default.a,focus_default()('input'),migrating_default.a],inheritAttrs:false,componentName:'ElAutocomplete',components:{ElInput:input_default.a,ElAutocompleteSuggestions:autocomplete_suggestions},directives:{Clickoutside:clickoutside_default.a},props:{valueKey:{type:String,default:'value'},popperClass:String,popperOptions:Object,placeholder:String,clearable:{type:Boolean,default:false},disabled:Boolean,name:String,size:String,value:String,maxlength:Number,minlength:Number,autofocus:Boolean,fetchSuggestions:Function,triggerOnFocus:{type:Boolean,default:true},customItem:String,selectWhenUnmatched:{type:Boolean,default:false},prefixIcon:String,suffixIcon:String,label:String,debounce:{type:Number,default:300},placement:{type:String,default:'bottom-start'},hideLoading:Boolean,popperAppendToBody:{type:Boolean,default:true},highlightFirstItem:{type:Boolean,default:false}},data:function data(){return{activated:false,suggestions:[],loading:false,highlightedIndex:-1,suggestionDisabled:false};},computed:{suggestionVisible:function suggestionVisible(){var suggestions=this.suggestions;var isValidData=Array.isArray(suggestions)&&suggestions.length>0;return(isValidData||this.loading)&&this.activated;},id:function id(){return'el-autocomplete-'+Object(util_[\"generateId\"])();}},watch:{suggestionVisible:function suggestionVisible(val){var $input=this.getInput();if($input){this.broadcast('ElAutocompleteSuggestions','visible',[val,$input.offsetWidth]);}}},methods:{getMigratingConfig:function getMigratingConfig(){return{props:{'custom-item':'custom-item is removed, use scoped slot instead.','props':'props is removed, use value-key instead.'}};},getData:function getData(queryString){var _this=this;if(this.suggestionDisabled){return;}this.loading=true;this.fetchSuggestions(queryString,function(suggestions){_this.loading=false;if(_this.suggestionDisabled){return;}if(Array.isArray(suggestions)){_this.suggestions=suggestions;_this.highlightedIndex=_this.highlightFirstItem?0:-1;}else{console.error('[Element Error][Autocomplete]autocomplete suggestions must be an array');}});},handleInput:function handleInput(value){this.$emit('input',value);this.suggestionDisabled=false;if(!this.triggerOnFocus&&!value){this.suggestionDisabled=true;this.suggestions=[];return;}this.debouncedGetData(value);},handleChange:function handleChange(value){this.$emit('change',value);},handleFocus:function handleFocus(event){this.activated=true;this.$emit('focus',event);if(this.triggerOnFocus){this.debouncedGetData(this.value);}},handleBlur:function handleBlur(event){this.$emit('blur',event);},handleClear:function handleClear(){this.activated=false;this.$emit('clear');},close:function close(e){this.activated=false;},handleKeyEnter:function handleKeyEnter(e){var _this2=this;if(this.suggestionVisible&&this.highlightedIndex>=0&&this.highlightedIndex<this.suggestions.length){e.preventDefault();this.select(this.suggestions[this.highlightedIndex]);}else if(this.selectWhenUnmatched){this.$emit('select',{value:this.value});this.$nextTick(function(_){_this2.suggestions=[];_this2.highlightedIndex=-1;});}},select:function select(item){var _this3=this;this.$emit('input',item[this.valueKey]);this.$emit('select',item);this.$nextTick(function(_){_this3.suggestions=[];_this3.highlightedIndex=-1;});},highlight:function highlight(index){if(!this.suggestionVisible||this.loading){return;}if(index<0){this.highlightedIndex=-1;return;}if(index>=this.suggestions.length){index=this.suggestions.length-1;}var suggestion=this.$refs.suggestions.$el.querySelector('.el-autocomplete-suggestion__wrap');var suggestionList=suggestion.querySelectorAll('.el-autocomplete-suggestion__list li');var highlightItem=suggestionList[index];var scrollTop=suggestion.scrollTop;var offsetTop=highlightItem.offsetTop;if(offsetTop+highlightItem.scrollHeight>scrollTop+suggestion.clientHeight){suggestion.scrollTop+=highlightItem.scrollHeight;}if(offsetTop<scrollTop){suggestion.scrollTop-=highlightItem.scrollHeight;}this.highlightedIndex=index;var $input=this.getInput();$input.setAttribute('aria-activedescendant',this.id+'-item-'+this.highlightedIndex);},getInput:function getInput(){return this.$refs.input.getInput();}},mounted:function mounted(){var _this4=this;this.debouncedGetData=debounce_default()(this.debounce,this.getData);this.$on('item-click',function(item){_this4.select(item);});var $input=this.getInput();$input.setAttribute('role','textbox');$input.setAttribute('aria-autocomplete','list');$input.setAttribute('aria-controls','id');$input.setAttribute('aria-activedescendant',this.id+'-item-'+this.highlightedIndex);},beforeDestroy:function beforeDestroy(){this.$refs.suggestions.$destroy();}};// CONCATENATED MODULE: ./packages/autocomplete/src/autocomplete.vue?vue&type=script&lang=js&\n/* harmony default export */var src_autocompletevue_type_script_lang_js_=autocompletevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/autocomplete/src/autocomplete.vue\n/* normalize component */var autocomplete_component=normalizeComponent(src_autocompletevue_type_script_lang_js_,autocompletevue_type_template_id_152f2ee6_render,autocompletevue_type_template_id_152f2ee6_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var autocomplete_api; }autocomplete_component.options.__file=\"packages/autocomplete/src/autocomplete.vue\";/* harmony default export */var autocomplete=autocomplete_component.exports;// CONCATENATED MODULE: ./packages/autocomplete/index.js\n/* istanbul ignore next */autocomplete.install=function(Vue){Vue.component(autocomplete.name,autocomplete);};/* harmony default export */var packages_autocomplete=autocomplete;// EXTERNAL MODULE: external \"element-ui/lib/button\"\nvar button_=__nested_webpack_require_8056__(13);var button_default=/*#__PURE__*/__nested_webpack_require_8056__.n(button_);// EXTERNAL MODULE: external \"element-ui/lib/button-group\"\nvar button_group_=__nested_webpack_require_8056__(29);var button_group_default=/*#__PURE__*/__nested_webpack_require_8056__.n(button_group_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/dropdown/src/dropdown.vue?vue&type=script&lang=js&\n/* harmony default export */var dropdownvue_type_script_lang_js_={name:'ElDropdown',componentName:'ElDropdown',mixins:[emitter_default.a,migrating_default.a],directives:{Clickoutside:clickoutside_default.a},components:{ElButton:button_default.a,ElButtonGroup:button_group_default.a},provide:function provide(){return{dropdown:this};},props:{trigger:{type:String,default:'hover'},type:String,size:{type:String,default:''},splitButton:Boolean,hideOnClick:{type:Boolean,default:true},placement:{type:String,default:'bottom-end'},visibleArrow:{default:true},showTimeout:{type:Number,default:250},hideTimeout:{type:Number,default:150},tabindex:{type:Number,default:0},disabled:{type:Boolean,default:false}},data:function data(){return{timeout:null,visible:false,triggerElm:null,menuItems:null,menuItemsArray:null,dropdownElm:null,focusing:false,listId:'dropdown-menu-'+Object(util_[\"generateId\"])()};},computed:{dropdownSize:function dropdownSize(){return this.size||(this.$ELEMENT||{}).size;}},mounted:function mounted(){this.$on('menu-item-click',this.handleMenuItemClick);},watch:{visible:function visible(val){this.broadcast('ElDropdownMenu','visible',val);this.$emit('visible-change',val);},focusing:function focusing(val){var selfDefine=this.$el.querySelector('.el-dropdown-selfdefine');if(selfDefine){// 自定义\nif(val){selfDefine.className+=' focusing';}else{selfDefine.className=selfDefine.className.replace('focusing','');}}}},methods:{getMigratingConfig:function getMigratingConfig(){return{props:{'menu-align':'menu-align is renamed to placement.'}};},show:function show(){var _this=this;if(this.disabled)return;clearTimeout(this.timeout);this.timeout=setTimeout(function(){_this.visible=true;},this.trigger==='click'?0:this.showTimeout);},hide:function hide(){var _this2=this;if(this.disabled)return;this.removeTabindex();if(this.tabindex>=0){this.resetTabindex(this.triggerElm);}clearTimeout(this.timeout);this.timeout=setTimeout(function(){_this2.visible=false;},this.trigger==='click'?0:this.hideTimeout);},handleClick:function handleClick(){if(this.disabled)return;if(this.visible){this.hide();}else{this.show();}},handleTriggerKeyDown:function handleTriggerKeyDown(ev){var keyCode=ev.keyCode;if([38,40].indexOf(keyCode)>-1){// up/down\nthis.removeTabindex();this.resetTabindex(this.menuItems[0]);this.menuItems[0].focus();ev.preventDefault();ev.stopPropagation();}else if(keyCode===13){// space enter选中\nthis.handleClick();}else if([9,27].indexOf(keyCode)>-1){// tab || esc\nthis.hide();}},handleItemKeyDown:function handleItemKeyDown(ev){var keyCode=ev.keyCode;var target=ev.target;var currentIndex=this.menuItemsArray.indexOf(target);var max=this.menuItemsArray.length-1;var nextIndex=void 0;if([38,40].indexOf(keyCode)>-1){// up/down\nif(keyCode===38){// up\nnextIndex=currentIndex!==0?currentIndex-1:0;}else{// down\nnextIndex=currentIndex<max?currentIndex+1:max;}this.removeTabindex();this.resetTabindex(this.menuItems[nextIndex]);this.menuItems[nextIndex].focus();ev.preventDefault();ev.stopPropagation();}else if(keyCode===13){// enter选中\nthis.triggerElmFocus();target.click();if(this.hideOnClick){// click关闭\nthis.visible=false;}}else if([9,27].indexOf(keyCode)>-1){// tab // esc\nthis.hide();this.triggerElmFocus();}},resetTabindex:function resetTabindex(ele){// 下次tab时组件聚焦元素\nthis.removeTabindex();ele.setAttribute('tabindex','0');// 下次期望的聚焦元素\n},removeTabindex:function removeTabindex(){this.triggerElm.setAttribute('tabindex','-1');this.menuItemsArray.forEach(function(item){item.setAttribute('tabindex','-1');});},initAria:function initAria(){this.dropdownElm.setAttribute('id',this.listId);this.triggerElm.setAttribute('aria-haspopup','list');this.triggerElm.setAttribute('aria-controls',this.listId);if(!this.splitButton){// 自定义\nthis.triggerElm.setAttribute('role','button');this.triggerElm.setAttribute('tabindex',this.tabindex);this.triggerElm.setAttribute('class',(this.triggerElm.getAttribute('class')||'')+' el-dropdown-selfdefine');// 控制\n}},initEvent:function initEvent(){var _this3=this;var trigger=this.trigger,show=this.show,hide=this.hide,handleClick=this.handleClick,splitButton=this.splitButton,handleTriggerKeyDown=this.handleTriggerKeyDown,handleItemKeyDown=this.handleItemKeyDown;this.triggerElm=splitButton?this.$refs.trigger.$el:this.$slots.default[0].elm;var dropdownElm=this.dropdownElm;this.triggerElm.addEventListener('keydown',handleTriggerKeyDown);// triggerElm keydown\ndropdownElm.addEventListener('keydown',handleItemKeyDown,true);// item keydown\n// 控制自定义元素的样式\nif(!splitButton){this.triggerElm.addEventListener('focus',function(){_this3.focusing=true;});this.triggerElm.addEventListener('blur',function(){_this3.focusing=false;});this.triggerElm.addEventListener('click',function(){_this3.focusing=false;});}if(trigger==='hover'){this.triggerElm.addEventListener('mouseenter',show);this.triggerElm.addEventListener('mouseleave',hide);dropdownElm.addEventListener('mouseenter',show);dropdownElm.addEventListener('mouseleave',hide);}else if(trigger==='click'){this.triggerElm.addEventListener('click',handleClick);}},handleMenuItemClick:function handleMenuItemClick(command,instance){if(this.hideOnClick){this.visible=false;}this.$emit('command',command,instance);},triggerElmFocus:function triggerElmFocus(){this.triggerElm.focus&&this.triggerElm.focus();},initDomOperation:function initDomOperation(){this.dropdownElm=this.popperElm;this.menuItems=this.dropdownElm.querySelectorAll(\"[tabindex='-1']\");this.menuItemsArray=[].slice.call(this.menuItems);this.initEvent();this.initAria();}},render:function render(h){var _this4=this;var hide=this.hide,splitButton=this.splitButton,type=this.type,dropdownSize=this.dropdownSize,disabled=this.disabled;var handleMainButtonClick=function handleMainButtonClick(event){_this4.$emit('click',event);hide();};var triggerElm=null;if(splitButton){triggerElm=h('el-button-group',[h('el-button',{attrs:{type:type,size:dropdownSize,disabled:disabled},nativeOn:{'click':handleMainButtonClick}},[this.$slots.default]),h('el-button',{ref:'trigger',attrs:{type:type,size:dropdownSize,disabled:disabled},'class':'el-dropdown__caret-button'},[h('i',{'class':'el-dropdown__icon el-icon-arrow-down'})])]);}else{triggerElm=this.$slots.default;var vnodeData=triggerElm[0].data||{};var _vnodeData$attrs=vnodeData.attrs,attrs=_vnodeData$attrs===undefined?{}:_vnodeData$attrs;if(disabled&&!attrs.disabled){attrs.disabled=true;vnodeData.attrs=attrs;}}var menuElm=disabled?null:this.$slots.dropdown;return h('div',{'class':'el-dropdown',directives:[{name:'clickoutside',value:hide}],attrs:{'aria-disabled':disabled}},[triggerElm,menuElm]);}};// CONCATENATED MODULE: ./packages/dropdown/src/dropdown.vue?vue&type=script&lang=js&\n/* harmony default export */var src_dropdownvue_type_script_lang_js_=dropdownvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/dropdown/src/dropdown.vue\nvar dropdown_render,dropdown_staticRenderFns;/* normalize component */var dropdown_component=normalizeComponent(src_dropdownvue_type_script_lang_js_,dropdown_render,dropdown_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var dropdown_api; }dropdown_component.options.__file=\"packages/dropdown/src/dropdown.vue\";/* harmony default export */var dropdown=dropdown_component.exports;// CONCATENATED MODULE: ./packages/dropdown/index.js\n/* istanbul ignore next */dropdown.install=function(Vue){Vue.component(dropdown.name,dropdown);};/* harmony default export */var packages_dropdown=dropdown;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/dropdown/src/dropdown-menu.vue?vue&type=template&id=0da6b714&\nvar dropdown_menuvue_type_template_id_0da6b714_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"after-leave\":_vm.doDestroy}},[_c(\"ul\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.showPopper,expression:\"showPopper\"}],staticClass:\"el-dropdown-menu el-popper\",class:[_vm.size&&\"el-dropdown-menu--\"+_vm.size]},[_vm._t(\"default\")],2)]);};var dropdown_menuvue_type_template_id_0da6b714_staticRenderFns=[];dropdown_menuvue_type_template_id_0da6b714_render._withStripped=true;// CONCATENATED MODULE: ./packages/dropdown/src/dropdown-menu.vue?vue&type=template&id=0da6b714&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/dropdown/src/dropdown-menu.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var dropdown_menuvue_type_script_lang_js_={name:'ElDropdownMenu',componentName:'ElDropdownMenu',mixins:[vue_popper_default.a],props:{visibleArrow:{type:Boolean,default:true},arrowOffset:{type:Number,default:0}},data:function data(){return{size:this.dropdown.dropdownSize};},inject:['dropdown'],created:function created(){var _this=this;this.$on('updatePopper',function(){if(_this.showPopper)_this.updatePopper();});this.$on('visible',function(val){_this.showPopper=val;});},mounted:function mounted(){this.dropdown.popperElm=this.popperElm=this.$el;this.referenceElm=this.dropdown.$el;// compatible with 2.6 new v-slot syntax\n// issue link https://github.com/ElemeFE/element/issues/14345\nthis.dropdown.initDomOperation();},watch:{'dropdown.placement':{immediate:true,handler:function handler(val){this.currentPlacement=val;}}}};// CONCATENATED MODULE: ./packages/dropdown/src/dropdown-menu.vue?vue&type=script&lang=js&\n/* harmony default export */var src_dropdown_menuvue_type_script_lang_js_=dropdown_menuvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/dropdown/src/dropdown-menu.vue\n/* normalize component */var dropdown_menu_component=normalizeComponent(src_dropdown_menuvue_type_script_lang_js_,dropdown_menuvue_type_template_id_0da6b714_render,dropdown_menuvue_type_template_id_0da6b714_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var dropdown_menu_api; }dropdown_menu_component.options.__file=\"packages/dropdown/src/dropdown-menu.vue\";/* harmony default export */var dropdown_menu=dropdown_menu_component.exports;// CONCATENATED MODULE: ./packages/dropdown-menu/index.js\n/* istanbul ignore next */dropdown_menu.install=function(Vue){Vue.component(dropdown_menu.name,dropdown_menu);};/* harmony default export */var packages_dropdown_menu=dropdown_menu;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/dropdown/src/dropdown-item.vue?vue&type=template&id=6359102a&\nvar dropdown_itemvue_type_template_id_6359102a_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"li\",{staticClass:\"el-dropdown-menu__item\",class:{\"is-disabled\":_vm.disabled,\"el-dropdown-menu__item--divided\":_vm.divided},attrs:{\"aria-disabled\":_vm.disabled,tabindex:_vm.disabled?null:-1},on:{click:_vm.handleClick}},[_vm.icon?_c(\"i\",{class:_vm.icon}):_vm._e(),_vm._t(\"default\")],2);};var dropdown_itemvue_type_template_id_6359102a_staticRenderFns=[];dropdown_itemvue_type_template_id_6359102a_render._withStripped=true;// CONCATENATED MODULE: ./packages/dropdown/src/dropdown-item.vue?vue&type=template&id=6359102a&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/dropdown/src/dropdown-item.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var dropdown_itemvue_type_script_lang_js_={name:'ElDropdownItem',mixins:[emitter_default.a],props:{command:{},disabled:Boolean,divided:Boolean,icon:String},methods:{handleClick:function handleClick(e){this.dispatch('ElDropdown','menu-item-click',[this.command,this]);}}};// CONCATENATED MODULE: ./packages/dropdown/src/dropdown-item.vue?vue&type=script&lang=js&\n/* harmony default export */var src_dropdown_itemvue_type_script_lang_js_=dropdown_itemvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/dropdown/src/dropdown-item.vue\n/* normalize component */var dropdown_item_component=normalizeComponent(src_dropdown_itemvue_type_script_lang_js_,dropdown_itemvue_type_template_id_6359102a_render,dropdown_itemvue_type_template_id_6359102a_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var dropdown_item_api; }dropdown_item_component.options.__file=\"packages/dropdown/src/dropdown-item.vue\";/* harmony default export */var dropdown_item=dropdown_item_component.exports;// CONCATENATED MODULE: ./packages/dropdown-item/index.js\n/* istanbul ignore next */dropdown_item.install=function(Vue){Vue.component(dropdown_item.name,dropdown_item);};/* harmony default export */var packages_dropdown_item=dropdown_item;// CONCATENATED MODULE: ./src/utils/aria-utils.js\nvar aria=aria||{};aria.Utils=aria.Utils||{};/**\n * @desc Set focus on descendant nodes until the first focusable element is\n *       found.\n * @param element\n *          DOM node for which to find the first focusable descendant.\n * @returns\n *  true if a focusable element is found and focus is set.\n */aria.Utils.focusFirstDescendant=function(element){for(var i=0;i<element.childNodes.length;i++){var child=element.childNodes[i];if(aria.Utils.attemptFocus(child)||aria.Utils.focusFirstDescendant(child)){return true;}}return false;};/**\n * @desc Find the last descendant node that is focusable.\n * @param element\n *          DOM node for which to find the last focusable descendant.\n * @returns\n *  true if a focusable element is found and focus is set.\n */aria.Utils.focusLastDescendant=function(element){for(var i=element.childNodes.length-1;i>=0;i--){var child=element.childNodes[i];if(aria.Utils.attemptFocus(child)||aria.Utils.focusLastDescendant(child)){return true;}}return false;};/**\n * @desc Set Attempt to set focus on the current node.\n * @param element\n *          The node to attempt to focus on.\n * @returns\n *  true if element is focused.\n */aria.Utils.attemptFocus=function(element){if(!aria.Utils.isFocusable(element)){return false;}aria.Utils.IgnoreUtilFocusChanges=true;try{element.focus();}catch(e){}aria.Utils.IgnoreUtilFocusChanges=false;return document.activeElement===element;};aria.Utils.isFocusable=function(element){if(element.tabIndex>0||element.tabIndex===0&&element.getAttribute('tabIndex')!==null){return true;}if(element.disabled){return false;}switch(element.nodeName){case'A':return!!element.href&&element.rel!=='ignore';case'INPUT':return element.type!=='hidden'&&element.type!=='file';case'BUTTON':case'SELECT':case'TEXTAREA':return true;default:return false;}};/**\n * 触发一个事件\n * mouseenter, mouseleave, mouseover, keyup, change, click 等\n * @param  {Element} elm\n * @param  {String} name\n * @param  {*} opts\n */aria.Utils.triggerEvent=function(elm,name){var eventName=void 0;if(/^mouse|click/.test(name)){eventName='MouseEvents';}else if(/^key/.test(name)){eventName='KeyboardEvent';}else{eventName='HTMLEvents';}var evt=document.createEvent(eventName);for(var _len=arguments.length,opts=Array(_len>2?_len-2:0),_key=2;_key<_len;_key++){opts[_key-2]=arguments[_key];}evt.initEvent.apply(evt,[name].concat(opts));elm.dispatchEvent?elm.dispatchEvent(evt):elm.fireEvent('on'+name,evt);return elm;};aria.Utils.keys={tab:9,enter:13,space:32,left:37,up:38,right:39,down:40,esc:27};/* harmony default export */var aria_utils=aria.Utils;// CONCATENATED MODULE: ./src/utils/menu/aria-submenu.js\nvar SubMenu=function SubMenu(parent,domNode){this.domNode=domNode;this.parent=parent;this.subMenuItems=[];this.subIndex=0;this.init();};SubMenu.prototype.init=function(){this.subMenuItems=this.domNode.querySelectorAll('li');this.addListeners();};SubMenu.prototype.gotoSubIndex=function(idx){if(idx===this.subMenuItems.length){idx=0;}else if(idx<0){idx=this.subMenuItems.length-1;}this.subMenuItems[idx].focus();this.subIndex=idx;};SubMenu.prototype.addListeners=function(){var _this=this;var keys=aria_utils.keys;var parentNode=this.parent.domNode;Array.prototype.forEach.call(this.subMenuItems,function(el){el.addEventListener('keydown',function(event){var prevDef=false;switch(event.keyCode){case keys.down:_this.gotoSubIndex(_this.subIndex+1);prevDef=true;break;case keys.up:_this.gotoSubIndex(_this.subIndex-1);prevDef=true;break;case keys.tab:aria_utils.triggerEvent(parentNode,'mouseleave');break;case keys.enter:case keys.space:prevDef=true;event.currentTarget.click();break;}if(prevDef){event.preventDefault();event.stopPropagation();}return false;});});};/* harmony default export */var aria_submenu=SubMenu;// CONCATENATED MODULE: ./src/utils/menu/aria-menuitem.js\nvar MenuItem=function MenuItem(domNode){this.domNode=domNode;this.submenu=null;this.init();};MenuItem.prototype.init=function(){this.domNode.setAttribute('tabindex','0');var menuChild=this.domNode.querySelector('.el-menu');if(menuChild){this.submenu=new aria_submenu(this,menuChild);}this.addListeners();};MenuItem.prototype.addListeners=function(){var _this=this;var keys=aria_utils.keys;this.domNode.addEventListener('keydown',function(event){var prevDef=false;switch(event.keyCode){case keys.down:aria_utils.triggerEvent(event.currentTarget,'mouseenter');_this.submenu&&_this.submenu.gotoSubIndex(0);prevDef=true;break;case keys.up:aria_utils.triggerEvent(event.currentTarget,'mouseenter');_this.submenu&&_this.submenu.gotoSubIndex(_this.submenu.subMenuItems.length-1);prevDef=true;break;case keys.tab:aria_utils.triggerEvent(event.currentTarget,'mouseleave');break;case keys.enter:case keys.space:prevDef=true;event.currentTarget.click();break;}if(prevDef){event.preventDefault();}});};/* harmony default export */var aria_menuitem=MenuItem;// CONCATENATED MODULE: ./src/utils/menu/aria-menubar.js\nvar Menu=function Menu(domNode){this.domNode=domNode;this.init();};Menu.prototype.init=function(){var menuChildren=this.domNode.childNodes;[].filter.call(menuChildren,function(child){return child.nodeType===1;}).forEach(function(child){new aria_menuitem(child);// eslint-disable-line\n});};/* harmony default export */var aria_menubar=Menu;// EXTERNAL MODULE: external \"element-ui/lib/utils/dom\"\nvar dom_=__nested_webpack_require_8056__(1);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/menu/src/menu.vue?vue&type=script&lang=js&\n/* harmony default export */var menuvue_type_script_lang_js_={name:'ElMenu',render:function render(h){var component=h('ul',{attrs:{role:'menubar'},key:+this.collapse,style:{backgroundColor:this.backgroundColor||''},'class':{'el-menu--horizontal':this.mode==='horizontal','el-menu--collapse':this.collapse,\"el-menu\":true}},[this.$slots.default]);if(this.collapseTransition){return h('el-menu-collapse-transition',[component]);}else{return component;}},componentName:'ElMenu',mixins:[emitter_default.a,migrating_default.a],provide:function provide(){return{rootMenu:this};},components:{'el-menu-collapse-transition':{functional:true,render:function render(createElement,context){var data={props:{mode:'out-in'},on:{beforeEnter:function beforeEnter(el){el.style.opacity=0.2;},enter:function enter(el){Object(dom_[\"addClass\"])(el,'el-opacity-transition');el.style.opacity=1;},afterEnter:function afterEnter(el){Object(dom_[\"removeClass\"])(el,'el-opacity-transition');el.style.opacity='';},beforeLeave:function beforeLeave(el){if(!el.dataset)el.dataset={};if(Object(dom_[\"hasClass\"])(el,'el-menu--collapse')){Object(dom_[\"removeClass\"])(el,'el-menu--collapse');el.dataset.oldOverflow=el.style.overflow;el.dataset.scrollWidth=el.clientWidth;Object(dom_[\"addClass\"])(el,'el-menu--collapse');}else{Object(dom_[\"addClass\"])(el,'el-menu--collapse');el.dataset.oldOverflow=el.style.overflow;el.dataset.scrollWidth=el.clientWidth;Object(dom_[\"removeClass\"])(el,'el-menu--collapse');}el.style.width=el.scrollWidth+'px';el.style.overflow='hidden';},leave:function leave(el){Object(dom_[\"addClass\"])(el,'horizontal-collapse-transition');el.style.width=el.dataset.scrollWidth+'px';}}};return createElement('transition',data,context.children);}}},props:{mode:{type:String,default:'vertical'},defaultActive:{type:String,default:''},defaultOpeneds:Array,uniqueOpened:Boolean,router:Boolean,menuTrigger:{type:String,default:'hover'},collapse:Boolean,backgroundColor:String,textColor:String,activeTextColor:String,collapseTransition:{type:Boolean,default:true}},data:function data(){return{activeIndex:this.defaultActive,openedMenus:this.defaultOpeneds&&!this.collapse?this.defaultOpeneds.slice(0):[],items:{},submenus:{}};},computed:{hoverBackground:function hoverBackground(){return this.backgroundColor?this.mixColor(this.backgroundColor,0.2):'';},isMenuPopup:function isMenuPopup(){return this.mode==='horizontal'||this.mode==='vertical'&&this.collapse;}},watch:{defaultActive:function defaultActive(value){if(!this.items[value]){this.activeIndex=null;}this.updateActiveIndex(value);},defaultOpeneds:function defaultOpeneds(value){if(!this.collapse){this.openedMenus=value;}},collapse:function collapse(value){if(value)this.openedMenus=[];this.broadcast('ElSubmenu','toggle-collapse',value);}},methods:{updateActiveIndex:function updateActiveIndex(val){var item=this.items[val]||this.items[this.activeIndex]||this.items[this.defaultActive];if(item){this.activeIndex=item.index;this.initOpenedMenu();}else{this.activeIndex=null;}},getMigratingConfig:function getMigratingConfig(){return{props:{'theme':'theme is removed.'}};},getColorChannels:function getColorChannels(color){color=color.replace('#','');if(/^[0-9a-fA-F]{3}$/.test(color)){color=color.split('');for(var i=2;i>=0;i--){color.splice(i,0,color[i]);}color=color.join('');}if(/^[0-9a-fA-F]{6}$/.test(color)){return{red:parseInt(color.slice(0,2),16),green:parseInt(color.slice(2,4),16),blue:parseInt(color.slice(4,6),16)};}else{return{red:255,green:255,blue:255};}},mixColor:function mixColor(color,percent){var _getColorChannels=this.getColorChannels(color),red=_getColorChannels.red,green=_getColorChannels.green,blue=_getColorChannels.blue;if(percent>0){// shade given color\nred*=1-percent;green*=1-percent;blue*=1-percent;}else{// tint given color\nred+=(255-red)*percent;green+=(255-green)*percent;blue+=(255-blue)*percent;}return'rgb('+Math.round(red)+', '+Math.round(green)+', '+Math.round(blue)+')';},addItem:function addItem(item){this.$set(this.items,item.index,item);},removeItem:function removeItem(item){delete this.items[item.index];},addSubmenu:function addSubmenu(item){this.$set(this.submenus,item.index,item);},removeSubmenu:function removeSubmenu(item){delete this.submenus[item.index];},openMenu:function openMenu(index,indexPath){var openedMenus=this.openedMenus;if(openedMenus.indexOf(index)!==-1)return;// 将不在该菜单路径下的其余菜单收起\n// collapse all menu that are not under current menu item\nif(this.uniqueOpened){this.openedMenus=openedMenus.filter(function(index){return indexPath.indexOf(index)!==-1;});}this.openedMenus.push(index);},closeMenu:function closeMenu(index){var i=this.openedMenus.indexOf(index);if(i!==-1){this.openedMenus.splice(i,1);}},handleSubmenuClick:function handleSubmenuClick(submenu){var index=submenu.index,indexPath=submenu.indexPath;var isOpened=this.openedMenus.indexOf(index)!==-1;if(isOpened){this.closeMenu(index);this.$emit('close',index,indexPath);}else{this.openMenu(index,indexPath);this.$emit('open',index,indexPath);}},handleItemClick:function handleItemClick(item){var _this=this;var index=item.index,indexPath=item.indexPath;var oldActiveIndex=this.activeIndex;var hasIndex=item.index!==null;if(hasIndex){this.activeIndex=item.index;}this.$emit('select',index,indexPath,item);if(this.mode==='horizontal'||this.collapse){this.openedMenus=[];}if(this.router&&hasIndex){this.routeToItem(item,function(error){_this.activeIndex=oldActiveIndex;if(error){// vue-router 3.1.0+ push/replace cause NavigationDuplicated error \n// https://github.com/ElemeFE/element/issues/17044\nif(error.name==='NavigationDuplicated')return;console.error(error);}});}},// 初始化展开菜单\n// initialize opened menu\ninitOpenedMenu:function initOpenedMenu(){var _this2=this;var index=this.activeIndex;var activeItem=this.items[index];if(!activeItem||this.mode==='horizontal'||this.collapse)return;var indexPath=activeItem.indexPath;// 展开该菜单项的路径上所有子菜单\n// expand all submenus of the menu item\nindexPath.forEach(function(index){var submenu=_this2.submenus[index];submenu&&_this2.openMenu(index,submenu.indexPath);});},routeToItem:function routeToItem(item,onError){var route=item.route||item.index;try{this.$router.push(route,function(){},onError);}catch(e){console.error(e);}},open:function open(index){var _this3=this;var indexPath=this.submenus[index.toString()].indexPath;indexPath.forEach(function(i){return _this3.openMenu(i,indexPath);});},close:function close(index){this.closeMenu(index);}},mounted:function mounted(){this.initOpenedMenu();this.$on('item-click',this.handleItemClick);this.$on('submenu-click',this.handleSubmenuClick);if(this.mode==='horizontal'){new aria_menubar(this.$el);// eslint-disable-line\n}this.$watch('items',this.updateActiveIndex);}};// CONCATENATED MODULE: ./packages/menu/src/menu.vue?vue&type=script&lang=js&\n/* harmony default export */var src_menuvue_type_script_lang_js_=menuvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/menu/src/menu.vue\nvar menu_render,menu_staticRenderFns;/* normalize component */var menu_component=normalizeComponent(src_menuvue_type_script_lang_js_,menu_render,menu_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var menu_api; }menu_component.options.__file=\"packages/menu/src/menu.vue\";/* harmony default export */var src_menu=menu_component.exports;// CONCATENATED MODULE: ./packages/menu/index.js\n/* istanbul ignore next */src_menu.install=function(Vue){Vue.component(src_menu.name,src_menu);};/* harmony default export */var packages_menu=src_menu;// EXTERNAL MODULE: external \"element-ui/lib/transitions/collapse-transition\"\nvar collapse_transition_=__nested_webpack_require_8056__(21);var collapse_transition_default=/*#__PURE__*/__nested_webpack_require_8056__.n(collapse_transition_);// CONCATENATED MODULE: ./packages/menu/src/menu-mixin.js\n/* harmony default export */var menu_mixin={inject:['rootMenu'],computed:{indexPath:function indexPath(){var path=[this.index];var parent=this.$parent;while(parent.$options.componentName!=='ElMenu'){if(parent.index){path.unshift(parent.index);}parent=parent.$parent;}return path;},parentMenu:function parentMenu(){var parent=this.$parent;while(parent&&['ElMenu','ElSubmenu'].indexOf(parent.$options.componentName)===-1){parent=parent.$parent;}return parent;},paddingStyle:function paddingStyle(){if(this.rootMenu.mode!=='vertical')return{};var padding=20;var parent=this.$parent;if(this.rootMenu.collapse){padding=20;}else{while(parent&&parent.$options.componentName!=='ElMenu'){if(parent.$options.componentName==='ElSubmenu'){padding+=20;}parent=parent.$parent;}}return{paddingLeft:padding+'px'};}}};// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/menu/src/submenu.vue?vue&type=script&lang=js&\nvar poperMixins={props:{transformOrigin:{type:[Boolean,String],default:false},offset:vue_popper_default.a.props.offset,boundariesPadding:vue_popper_default.a.props.boundariesPadding,popperOptions:vue_popper_default.a.props.popperOptions},data:vue_popper_default.a.data,methods:vue_popper_default.a.methods,beforeDestroy:vue_popper_default.a.beforeDestroy,deactivated:vue_popper_default.a.deactivated};/* harmony default export */var submenuvue_type_script_lang_js_={name:'ElSubmenu',componentName:'ElSubmenu',mixins:[menu_mixin,emitter_default.a,poperMixins],components:{ElCollapseTransition:collapse_transition_default.a},props:{index:{type:String,required:true},showTimeout:{type:Number,default:300},hideTimeout:{type:Number,default:300},popperClass:String,disabled:Boolean,popperAppendToBody:{type:Boolean,default:undefined}},data:function data(){return{popperJS:null,timeout:null,items:{},submenus:{},mouseInChild:false};},watch:{opened:function opened(val){var _this=this;if(this.isMenuPopup){this.$nextTick(function(_){_this.updatePopper();});}}},computed:{// popper option\nappendToBody:function appendToBody(){return this.popperAppendToBody===undefined?this.isFirstLevel:this.popperAppendToBody;},menuTransitionName:function menuTransitionName(){return this.rootMenu.collapse?'el-zoom-in-left':'el-zoom-in-top';},opened:function opened(){return this.rootMenu.openedMenus.indexOf(this.index)>-1;},active:function active(){var isActive=false;var submenus=this.submenus;var items=this.items;Object.keys(items).forEach(function(index){if(items[index].active){isActive=true;}});Object.keys(submenus).forEach(function(index){if(submenus[index].active){isActive=true;}});return isActive;},hoverBackground:function hoverBackground(){return this.rootMenu.hoverBackground;},backgroundColor:function backgroundColor(){return this.rootMenu.backgroundColor||'';},activeTextColor:function activeTextColor(){return this.rootMenu.activeTextColor||'';},textColor:function textColor(){return this.rootMenu.textColor||'';},mode:function mode(){return this.rootMenu.mode;},isMenuPopup:function isMenuPopup(){return this.rootMenu.isMenuPopup;},titleStyle:function titleStyle(){if(this.mode!=='horizontal'){return{color:this.textColor};}return{borderBottomColor:this.active?this.rootMenu.activeTextColor?this.activeTextColor:'':'transparent',color:this.active?this.activeTextColor:this.textColor};},isFirstLevel:function isFirstLevel(){var isFirstLevel=true;var parent=this.$parent;while(parent&&parent!==this.rootMenu){if(['ElSubmenu','ElMenuItemGroup'].indexOf(parent.$options.componentName)>-1){isFirstLevel=false;break;}else{parent=parent.$parent;}}return isFirstLevel;}},methods:{handleCollapseToggle:function handleCollapseToggle(value){if(value){this.initPopper();}else{this.doDestroy();}},addItem:function addItem(item){this.$set(this.items,item.index,item);},removeItem:function removeItem(item){delete this.items[item.index];},addSubmenu:function addSubmenu(item){this.$set(this.submenus,item.index,item);},removeSubmenu:function removeSubmenu(item){delete this.submenus[item.index];},handleClick:function handleClick(){var rootMenu=this.rootMenu,disabled=this.disabled;if(rootMenu.menuTrigger==='hover'&&rootMenu.mode==='horizontal'||rootMenu.collapse&&rootMenu.mode==='vertical'||disabled){return;}this.dispatch('ElMenu','submenu-click',this);},handleMouseenter:function handleMouseenter(event){var _this2=this;var showTimeout=arguments.length>1&&arguments[1]!==undefined?arguments[1]:this.showTimeout;if(!('ActiveXObject'in window)&&event.type==='focus'&&!event.relatedTarget){return;}var rootMenu=this.rootMenu,disabled=this.disabled;if(rootMenu.menuTrigger==='click'&&rootMenu.mode==='horizontal'||!rootMenu.collapse&&rootMenu.mode==='vertical'||disabled){return;}this.dispatch('ElSubmenu','mouse-enter-child');clearTimeout(this.timeout);this.timeout=setTimeout(function(){_this2.rootMenu.openMenu(_this2.index,_this2.indexPath);},showTimeout);if(this.appendToBody){this.$parent.$el.dispatchEvent(new MouseEvent('mouseenter'));}},handleMouseleave:function handleMouseleave(){var _this3=this;var deepDispatch=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;var rootMenu=this.rootMenu;if(rootMenu.menuTrigger==='click'&&rootMenu.mode==='horizontal'||!rootMenu.collapse&&rootMenu.mode==='vertical'){return;}this.dispatch('ElSubmenu','mouse-leave-child');clearTimeout(this.timeout);this.timeout=setTimeout(function(){!_this3.mouseInChild&&_this3.rootMenu.closeMenu(_this3.index);},this.hideTimeout);if(this.appendToBody&&deepDispatch){if(this.$parent.$options.name==='ElSubmenu'){this.$parent.handleMouseleave(true);}}},handleTitleMouseenter:function handleTitleMouseenter(){if(this.mode==='horizontal'&&!this.rootMenu.backgroundColor)return;var title=this.$refs['submenu-title'];title&&(title.style.backgroundColor=this.rootMenu.hoverBackground);},handleTitleMouseleave:function handleTitleMouseleave(){if(this.mode==='horizontal'&&!this.rootMenu.backgroundColor)return;var title=this.$refs['submenu-title'];title&&(title.style.backgroundColor=this.rootMenu.backgroundColor||'');},updatePlacement:function updatePlacement(){this.currentPlacement=this.mode==='horizontal'&&this.isFirstLevel?'bottom-start':'right-start';},initPopper:function initPopper(){this.referenceElm=this.$el;this.popperElm=this.$refs.menu;this.updatePlacement();}},created:function created(){var _this4=this;this.$on('toggle-collapse',this.handleCollapseToggle);this.$on('mouse-enter-child',function(){_this4.mouseInChild=true;clearTimeout(_this4.timeout);});this.$on('mouse-leave-child',function(){_this4.mouseInChild=false;clearTimeout(_this4.timeout);});},mounted:function mounted(){this.parentMenu.addSubmenu(this);this.rootMenu.addSubmenu(this);this.initPopper();},beforeDestroy:function beforeDestroy(){this.parentMenu.removeSubmenu(this);this.rootMenu.removeSubmenu(this);},render:function render(h){var _this5=this;var active=this.active,opened=this.opened,paddingStyle=this.paddingStyle,titleStyle=this.titleStyle,backgroundColor=this.backgroundColor,rootMenu=this.rootMenu,currentPlacement=this.currentPlacement,menuTransitionName=this.menuTransitionName,mode=this.mode,disabled=this.disabled,popperClass=this.popperClass,$slots=this.$slots,isFirstLevel=this.isFirstLevel;var popupMenu=h('transition',{attrs:{name:menuTransitionName}},[h('div',{ref:'menu',directives:[{name:'show',value:opened}],'class':['el-menu--'+mode,popperClass],on:{'mouseenter':function mouseenter($event){return _this5.handleMouseenter($event,100);},'mouseleave':function mouseleave(){return _this5.handleMouseleave(true);},'focus':function focus($event){return _this5.handleMouseenter($event,100);}}},[h('ul',{attrs:{role:'menu'},'class':['el-menu el-menu--popup','el-menu--popup-'+currentPlacement],style:{backgroundColor:rootMenu.backgroundColor||''}},[$slots.default])])]);var inlineMenu=h('el-collapse-transition',[h('ul',{attrs:{role:'menu'},'class':'el-menu el-menu--inline',directives:[{name:'show',value:opened}],style:{backgroundColor:rootMenu.backgroundColor||''}},[$slots.default])]);var submenuTitleIcon=rootMenu.mode==='horizontal'&&isFirstLevel||rootMenu.mode==='vertical'&&!rootMenu.collapse?'el-icon-arrow-down':'el-icon-arrow-right';return h('li',{'class':{'el-submenu':true,'is-active':active,'is-opened':opened,'is-disabled':disabled},attrs:{role:'menuitem','aria-haspopup':'true','aria-expanded':opened},on:{'mouseenter':this.handleMouseenter,'mouseleave':function mouseleave(){return _this5.handleMouseleave(false);},'focus':this.handleMouseenter}},[h('div',{'class':'el-submenu__title',ref:'submenu-title',on:{'click':this.handleClick,'mouseenter':this.handleTitleMouseenter,'mouseleave':this.handleTitleMouseleave},style:[paddingStyle,titleStyle,{backgroundColor:backgroundColor}]},[$slots.title,h('i',{'class':['el-submenu__icon-arrow',submenuTitleIcon]})]),this.isMenuPopup?popupMenu:inlineMenu]);}};// CONCATENATED MODULE: ./packages/menu/src/submenu.vue?vue&type=script&lang=js&\n/* harmony default export */var src_submenuvue_type_script_lang_js_=submenuvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/menu/src/submenu.vue\nvar submenu_render,submenu_staticRenderFns;/* normalize component */var submenu_component=normalizeComponent(src_submenuvue_type_script_lang_js_,submenu_render,submenu_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var submenu_api; }submenu_component.options.__file=\"packages/menu/src/submenu.vue\";/* harmony default export */var submenu=submenu_component.exports;// CONCATENATED MODULE: ./packages/submenu/index.js\n/* istanbul ignore next */submenu.install=function(Vue){Vue.component(submenu.name,submenu);};/* harmony default export */var packages_submenu=submenu;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/menu/src/menu-item.vue?vue&type=template&id=2a5dbfea&\nvar menu_itemvue_type_template_id_2a5dbfea_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"li\",{staticClass:\"el-menu-item\",class:{\"is-active\":_vm.active,\"is-disabled\":_vm.disabled},style:[_vm.paddingStyle,_vm.itemStyle,{backgroundColor:_vm.backgroundColor}],attrs:{role:\"menuitem\",tabindex:\"-1\"},on:{click:_vm.handleClick,mouseenter:_vm.onMouseEnter,focus:_vm.onMouseEnter,blur:_vm.onMouseLeave,mouseleave:_vm.onMouseLeave}},[_vm.parentMenu.$options.componentName===\"ElMenu\"&&_vm.rootMenu.collapse&&_vm.$slots.title?_c(\"el-tooltip\",{attrs:{effect:\"dark\",placement:\"right\"}},[_c(\"div\",{attrs:{slot:\"content\"},slot:\"content\"},[_vm._t(\"title\")],2),_c(\"div\",{staticStyle:{position:\"absolute\",left:\"0\",top:\"0\",height:\"100%\",width:\"100%\",display:\"inline-block\",\"box-sizing\":\"border-box\",padding:\"0 20px\"}},[_vm._t(\"default\")],2)]):[_vm._t(\"default\"),_vm._t(\"title\")]],2);};var menu_itemvue_type_template_id_2a5dbfea_staticRenderFns=[];menu_itemvue_type_template_id_2a5dbfea_render._withStripped=true;// CONCATENATED MODULE: ./packages/menu/src/menu-item.vue?vue&type=template&id=2a5dbfea&\n// EXTERNAL MODULE: external \"element-ui/lib/tooltip\"\nvar tooltip_=__nested_webpack_require_8056__(26);var tooltip_default=/*#__PURE__*/__nested_webpack_require_8056__.n(tooltip_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/menu/src/menu-item.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var menu_itemvue_type_script_lang_js_={name:'ElMenuItem',componentName:'ElMenuItem',mixins:[menu_mixin,emitter_default.a],components:{ElTooltip:tooltip_default.a},props:{index:{default:null,validator:function validator(val){return typeof val==='string'||val===null;}},route:[String,Object],disabled:Boolean},computed:{active:function active(){return this.index===this.rootMenu.activeIndex;},hoverBackground:function hoverBackground(){return this.rootMenu.hoverBackground;},backgroundColor:function backgroundColor(){return this.rootMenu.backgroundColor||'';},activeTextColor:function activeTextColor(){return this.rootMenu.activeTextColor||'';},textColor:function textColor(){return this.rootMenu.textColor||'';},mode:function mode(){return this.rootMenu.mode;},itemStyle:function itemStyle(){var style={color:this.active?this.activeTextColor:this.textColor};if(this.mode==='horizontal'&&!this.isNested){style.borderBottomColor=this.active?this.rootMenu.activeTextColor?this.activeTextColor:'':'transparent';}return style;},isNested:function isNested(){return this.parentMenu!==this.rootMenu;}},methods:{onMouseEnter:function onMouseEnter(){if(this.mode==='horizontal'&&!this.rootMenu.backgroundColor)return;this.$el.style.backgroundColor=this.hoverBackground;},onMouseLeave:function onMouseLeave(){if(this.mode==='horizontal'&&!this.rootMenu.backgroundColor)return;this.$el.style.backgroundColor=this.backgroundColor;},handleClick:function handleClick(){if(!this.disabled){this.dispatch('ElMenu','item-click',this);this.$emit('click',this);}}},mounted:function mounted(){this.parentMenu.addItem(this);this.rootMenu.addItem(this);},beforeDestroy:function beforeDestroy(){this.parentMenu.removeItem(this);this.rootMenu.removeItem(this);}};// CONCATENATED MODULE: ./packages/menu/src/menu-item.vue?vue&type=script&lang=js&\n/* harmony default export */var src_menu_itemvue_type_script_lang_js_=menu_itemvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/menu/src/menu-item.vue\n/* normalize component */var menu_item_component=normalizeComponent(src_menu_itemvue_type_script_lang_js_,menu_itemvue_type_template_id_2a5dbfea_render,menu_itemvue_type_template_id_2a5dbfea_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var menu_item_api; }menu_item_component.options.__file=\"packages/menu/src/menu-item.vue\";/* harmony default export */var menu_item=menu_item_component.exports;// CONCATENATED MODULE: ./packages/menu-item/index.js\n/* istanbul ignore next */menu_item.install=function(Vue){Vue.component(menu_item.name,menu_item);};/* harmony default export */var packages_menu_item=menu_item;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/menu/src/menu-item-group.vue?vue&type=template&id=543b7bdc&\nvar menu_item_groupvue_type_template_id_543b7bdc_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"li\",{staticClass:\"el-menu-item-group\"},[_c(\"div\",{staticClass:\"el-menu-item-group__title\",style:{paddingLeft:_vm.levelPadding+\"px\"}},[!_vm.$slots.title?[_vm._v(_vm._s(_vm.title))]:_vm._t(\"title\")],2),_c(\"ul\",[_vm._t(\"default\")],2)]);};var menu_item_groupvue_type_template_id_543b7bdc_staticRenderFns=[];menu_item_groupvue_type_template_id_543b7bdc_render._withStripped=true;// CONCATENATED MODULE: ./packages/menu/src/menu-item-group.vue?vue&type=template&id=543b7bdc&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/menu/src/menu-item-group.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var menu_item_groupvue_type_script_lang_js_={name:'ElMenuItemGroup',componentName:'ElMenuItemGroup',inject:['rootMenu'],props:{title:{type:String}},data:function data(){return{paddingLeft:20};},computed:{levelPadding:function levelPadding(){var padding=20;var parent=this.$parent;if(this.rootMenu.collapse)return 20;while(parent&&parent.$options.componentName!=='ElMenu'){if(parent.$options.componentName==='ElSubmenu'){padding+=20;}parent=parent.$parent;}return padding;}}};// CONCATENATED MODULE: ./packages/menu/src/menu-item-group.vue?vue&type=script&lang=js&\n/* harmony default export */var src_menu_item_groupvue_type_script_lang_js_=menu_item_groupvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/menu/src/menu-item-group.vue\n/* normalize component */var menu_item_group_component=normalizeComponent(src_menu_item_groupvue_type_script_lang_js_,menu_item_groupvue_type_template_id_543b7bdc_render,menu_item_groupvue_type_template_id_543b7bdc_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var menu_item_group_api; }menu_item_group_component.options.__file=\"packages/menu/src/menu-item-group.vue\";/* harmony default export */var menu_item_group=menu_item_group_component.exports;// CONCATENATED MODULE: ./packages/menu-item-group/index.js\n/* istanbul ignore next */menu_item_group.install=function(Vue){Vue.component(menu_item_group.name,menu_item_group);};/* harmony default export */var packages_menu_item_group=menu_item_group;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/input/src/input.vue?vue&type=template&id=343dd774&\nvar inputvue_type_template_id_343dd774_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{class:[_vm.type===\"textarea\"?\"el-textarea\":\"el-input\",_vm.inputSize?\"el-input--\"+_vm.inputSize:\"\",{\"is-disabled\":_vm.inputDisabled,\"is-exceed\":_vm.inputExceed,\"el-input-group\":_vm.$slots.prepend||_vm.$slots.append,\"el-input-group--append\":_vm.$slots.append,\"el-input-group--prepend\":_vm.$slots.prepend,\"el-input--prefix\":_vm.$slots.prefix||_vm.prefixIcon,\"el-input--suffix\":_vm.$slots.suffix||_vm.suffixIcon||_vm.clearable||_vm.showPassword}],on:{mouseenter:function($event){_vm.hovering=true;},mouseleave:function($event){_vm.hovering=false;}}},[_vm.type!==\"textarea\"?[_vm.$slots.prepend?_c(\"div\",{staticClass:\"el-input-group__prepend\"},[_vm._t(\"prepend\")],2):_vm._e(),_vm.type!==\"textarea\"?_c(\"input\",_vm._b({ref:\"input\",staticClass:\"el-input__inner\",attrs:{tabindex:_vm.tabindex,type:_vm.showPassword?_vm.passwordVisible?\"text\":\"password\":_vm.type,disabled:_vm.inputDisabled,readonly:_vm.readonly,autocomplete:_vm.autoComplete||_vm.autocomplete,\"aria-label\":_vm.label},on:{compositionstart:_vm.handleCompositionStart,compositionupdate:_vm.handleCompositionUpdate,compositionend:_vm.handleCompositionEnd,input:_vm.handleInput,focus:_vm.handleFocus,blur:_vm.handleBlur,change:_vm.handleChange}},\"input\",_vm.$attrs,false)):_vm._e(),_vm.$slots.prefix||_vm.prefixIcon?_c(\"span\",{staticClass:\"el-input__prefix\"},[_vm._t(\"prefix\"),_vm.prefixIcon?_c(\"i\",{staticClass:\"el-input__icon\",class:_vm.prefixIcon}):_vm._e()],2):_vm._e(),_vm.getSuffixVisible()?_c(\"span\",{staticClass:\"el-input__suffix\"},[_c(\"span\",{staticClass:\"el-input__suffix-inner\"},[!_vm.showClear||!_vm.showPwdVisible||!_vm.isWordLimitVisible?[_vm._t(\"suffix\"),_vm.suffixIcon?_c(\"i\",{staticClass:\"el-input__icon\",class:_vm.suffixIcon}):_vm._e()]:_vm._e(),_vm.showClear?_c(\"i\",{staticClass:\"el-input__icon el-icon-circle-close el-input__clear\",on:{mousedown:function($event){$event.preventDefault();},click:_vm.clear}}):_vm._e(),_vm.showPwdVisible?_c(\"i\",{staticClass:\"el-input__icon el-icon-view el-input__clear\",on:{click:_vm.handlePasswordVisible}}):_vm._e(),_vm.isWordLimitVisible?_c(\"span\",{staticClass:\"el-input__count\"},[_c(\"span\",{staticClass:\"el-input__count-inner\"},[_vm._v(\"\\n            \"+_vm._s(_vm.textLength)+\"/\"+_vm._s(_vm.upperLimit)+\"\\n          \")])]):_vm._e()],2),_vm.validateState?_c(\"i\",{staticClass:\"el-input__icon\",class:[\"el-input__validateIcon\",_vm.validateIcon]}):_vm._e()]):_vm._e(),_vm.$slots.append?_c(\"div\",{staticClass:\"el-input-group__append\"},[_vm._t(\"append\")],2):_vm._e()]:_c(\"textarea\",_vm._b({ref:\"textarea\",staticClass:\"el-textarea__inner\",style:_vm.textareaStyle,attrs:{tabindex:_vm.tabindex,disabled:_vm.inputDisabled,readonly:_vm.readonly,autocomplete:_vm.autoComplete||_vm.autocomplete,\"aria-label\":_vm.label},on:{compositionstart:_vm.handleCompositionStart,compositionupdate:_vm.handleCompositionUpdate,compositionend:_vm.handleCompositionEnd,input:_vm.handleInput,focus:_vm.handleFocus,blur:_vm.handleBlur,change:_vm.handleChange}},\"textarea\",_vm.$attrs,false)),_vm.isWordLimitVisible&&_vm.type===\"textarea\"?_c(\"span\",{staticClass:\"el-input__count\"},[_vm._v(_vm._s(_vm.textLength)+\"/\"+_vm._s(_vm.upperLimit))]):_vm._e()],2);};var inputvue_type_template_id_343dd774_staticRenderFns=[];inputvue_type_template_id_343dd774_render._withStripped=true;// CONCATENATED MODULE: ./packages/input/src/input.vue?vue&type=template&id=343dd774&\n// CONCATENATED MODULE: ./packages/input/src/calcTextareaHeight.js\nvar hiddenTextarea=void 0;var HIDDEN_STYLE='\\n  height:0 !important;\\n  visibility:hidden !important;\\n  overflow:hidden !important;\\n  position:absolute !important;\\n  z-index:-1000 !important;\\n  top:0 !important;\\n  right:0 !important\\n';var CONTEXT_STYLE=['letter-spacing','line-height','padding-top','padding-bottom','font-family','font-weight','font-size','text-rendering','text-transform','width','text-indent','padding-left','padding-right','border-width','box-sizing'];function calculateNodeStyling(targetElement){var style=window.getComputedStyle(targetElement);var boxSizing=style.getPropertyValue('box-sizing');var paddingSize=parseFloat(style.getPropertyValue('padding-bottom'))+parseFloat(style.getPropertyValue('padding-top'));var borderSize=parseFloat(style.getPropertyValue('border-bottom-width'))+parseFloat(style.getPropertyValue('border-top-width'));var contextStyle=CONTEXT_STYLE.map(function(name){return name+':'+style.getPropertyValue(name);}).join(';');return{contextStyle:contextStyle,paddingSize:paddingSize,borderSize:borderSize,boxSizing:boxSizing};}function calcTextareaHeight(targetElement){var minRows=arguments.length>1&&arguments[1]!==undefined?arguments[1]:1;var maxRows=arguments.length>2&&arguments[2]!==undefined?arguments[2]:null;if(!hiddenTextarea){hiddenTextarea=document.createElement('textarea');document.body.appendChild(hiddenTextarea);}var _calculateNodeStyling=calculateNodeStyling(targetElement),paddingSize=_calculateNodeStyling.paddingSize,borderSize=_calculateNodeStyling.borderSize,boxSizing=_calculateNodeStyling.boxSizing,contextStyle=_calculateNodeStyling.contextStyle;hiddenTextarea.setAttribute('style',contextStyle+';'+HIDDEN_STYLE);hiddenTextarea.value=targetElement.value||targetElement.placeholder||'';var height=hiddenTextarea.scrollHeight;var result={};if(boxSizing==='border-box'){height=height+borderSize;}else if(boxSizing==='content-box'){height=height-paddingSize;}hiddenTextarea.value='';var singleRowHeight=hiddenTextarea.scrollHeight-paddingSize;if(minRows!==null){var minHeight=singleRowHeight*minRows;if(boxSizing==='border-box'){minHeight=minHeight+paddingSize+borderSize;}height=Math.max(minHeight,height);result.minHeight=minHeight+'px';}if(maxRows!==null){var maxHeight=singleRowHeight*maxRows;if(boxSizing==='border-box'){maxHeight=maxHeight+paddingSize+borderSize;}height=Math.min(maxHeight,height);}result.height=height+'px';hiddenTextarea.parentNode&&hiddenTextarea.parentNode.removeChild(hiddenTextarea);hiddenTextarea=null;return result;};// EXTERNAL MODULE: external \"element-ui/lib/utils/merge\"\nvar merge_=__nested_webpack_require_8056__(7);var merge_default=/*#__PURE__*/__nested_webpack_require_8056__.n(merge_);// EXTERNAL MODULE: external \"element-ui/lib/utils/shared\"\nvar shared_=__nested_webpack_require_8056__(19);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/input/src/input.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var inputvue_type_script_lang_js_={name:'ElInput',componentName:'ElInput',mixins:[emitter_default.a,migrating_default.a],inheritAttrs:false,inject:{elForm:{default:''},elFormItem:{default:''}},data:function data(){return{textareaCalcStyle:{},hovering:false,focused:false,isComposing:false,passwordVisible:false};},props:{value:[String,Number],size:String,resize:String,form:String,disabled:Boolean,readonly:Boolean,type:{type:String,default:'text'},autosize:{type:[Boolean,Object],default:false},autocomplete:{type:String,default:'off'},/** @Deprecated in next major version */autoComplete:{type:String,validator:function validator(val){ false&&0;return true;}},validateEvent:{type:Boolean,default:true},suffixIcon:String,prefixIcon:String,label:String,clearable:{type:Boolean,default:false},showPassword:{type:Boolean,default:false},showWordLimit:{type:Boolean,default:false},tabindex:String},computed:{_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},validateState:function validateState(){return this.elFormItem?this.elFormItem.validateState:'';},needStatusIcon:function needStatusIcon(){return this.elForm?this.elForm.statusIcon:false;},validateIcon:function validateIcon(){return{validating:'el-icon-loading',success:'el-icon-circle-check',error:'el-icon-circle-close'}[this.validateState];},textareaStyle:function textareaStyle(){return merge_default()({},this.textareaCalcStyle,{resize:this.resize});},inputSize:function inputSize(){return this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;},inputDisabled:function inputDisabled(){return this.disabled||(this.elForm||{}).disabled;},nativeInputValue:function nativeInputValue(){return this.value===null||this.value===undefined?'':String(this.value);},showClear:function showClear(){return this.clearable&&!this.inputDisabled&&!this.readonly&&this.nativeInputValue&&(this.focused||this.hovering);},showPwdVisible:function showPwdVisible(){return this.showPassword&&!this.inputDisabled&&!this.readonly&&(!!this.nativeInputValue||this.focused);},isWordLimitVisible:function isWordLimitVisible(){return this.showWordLimit&&this.$attrs.maxlength&&(this.type==='text'||this.type==='textarea')&&!this.inputDisabled&&!this.readonly&&!this.showPassword;},upperLimit:function upperLimit(){return this.$attrs.maxlength;},textLength:function textLength(){if(typeof this.value==='number'){return String(this.value).length;}return(this.value||'').length;},inputExceed:function inputExceed(){// show exceed style if length of initial value greater then maxlength\nreturn this.isWordLimitVisible&&this.textLength>this.upperLimit;}},watch:{value:function value(val){this.$nextTick(this.resizeTextarea);if(this.validateEvent){this.dispatch('ElFormItem','el.form.change',[val]);}},// native input value is set explicitly\n// do not use v-model / :value in template\n// see: https://github.com/ElemeFE/element/issues/14521\nnativeInputValue:function nativeInputValue(){this.setNativeInputValue();},// when change between <input> and <textarea>,\n// update DOM dependent value and styles\n// https://github.com/ElemeFE/element/issues/14857\ntype:function type(){var _this=this;this.$nextTick(function(){_this.setNativeInputValue();_this.resizeTextarea();_this.updateIconOffset();});}},methods:{focus:function focus(){this.getInput().focus();},blur:function blur(){this.getInput().blur();},getMigratingConfig:function getMigratingConfig(){return{props:{'icon':'icon is removed, use suffix-icon / prefix-icon instead.','on-icon-click':'on-icon-click is removed.'},events:{'click':'click is removed.'}};},handleBlur:function handleBlur(event){this.focused=false;this.$emit('blur',event);if(this.validateEvent){this.dispatch('ElFormItem','el.form.blur',[this.value]);}},select:function select(){this.getInput().select();},resizeTextarea:function resizeTextarea(){if(this.$isServer)return;var autosize=this.autosize,type=this.type;if(type!=='textarea')return;if(!autosize){this.textareaCalcStyle={minHeight:calcTextareaHeight(this.$refs.textarea).minHeight};return;}var minRows=autosize.minRows;var maxRows=autosize.maxRows;this.textareaCalcStyle=calcTextareaHeight(this.$refs.textarea,minRows,maxRows);},setNativeInputValue:function setNativeInputValue(){var input=this.getInput();if(!input)return;if(input.value===this.nativeInputValue)return;input.value=this.nativeInputValue;},handleFocus:function handleFocus(event){this.focused=true;this.$emit('focus',event);},handleCompositionStart:function handleCompositionStart(event){this.$emit('compositionstart',event);this.isComposing=true;},handleCompositionUpdate:function handleCompositionUpdate(event){this.$emit('compositionupdate',event);var text=event.target.value;var lastCharacter=text[text.length-1]||'';this.isComposing=!Object(shared_[\"isKorean\"])(lastCharacter);},handleCompositionEnd:function handleCompositionEnd(event){this.$emit('compositionend',event);if(this.isComposing){this.isComposing=false;this.handleInput(event);}},handleInput:function handleInput(event){// should not emit input during composition\n// see: https://github.com/ElemeFE/element/issues/10516\nif(this.isComposing)return;// hack for https://github.com/ElemeFE/element/issues/8548\n// should remove the following line when we don't support IE\nif(event.target.value===this.nativeInputValue)return;this.$emit('input',event.target.value);// ensure native input value is controlled\n// see: https://github.com/ElemeFE/element/issues/12850\nthis.$nextTick(this.setNativeInputValue);},handleChange:function handleChange(event){this.$emit('change',event.target.value);},calcIconOffset:function calcIconOffset(place){var elList=[].slice.call(this.$el.querySelectorAll('.el-input__'+place)||[]);if(!elList.length)return;var el=null;for(var i=0;i<elList.length;i++){if(elList[i].parentNode===this.$el){el=elList[i];break;}}if(!el)return;var pendantMap={suffix:'append',prefix:'prepend'};var pendant=pendantMap[place];if(this.$slots[pendant]){el.style.transform='translateX('+(place==='suffix'?'-':'')+this.$el.querySelector('.el-input-group__'+pendant).offsetWidth+'px)';}else{el.removeAttribute('style');}},updateIconOffset:function updateIconOffset(){this.calcIconOffset('prefix');this.calcIconOffset('suffix');},clear:function clear(){this.$emit('input','');this.$emit('change','');this.$emit('clear');},handlePasswordVisible:function handlePasswordVisible(){var _this2=this;this.passwordVisible=!this.passwordVisible;this.$nextTick(function(){_this2.focus();});},getInput:function getInput(){return this.$refs.input||this.$refs.textarea;},getSuffixVisible:function getSuffixVisible(){return this.$slots.suffix||this.suffixIcon||this.showClear||this.showPassword||this.isWordLimitVisible||this.validateState&&this.needStatusIcon;}},created:function created(){this.$on('inputSelect',this.select);},mounted:function mounted(){this.setNativeInputValue();this.resizeTextarea();this.updateIconOffset();},updated:function updated(){this.$nextTick(this.updateIconOffset);}};// CONCATENATED MODULE: ./packages/input/src/input.vue?vue&type=script&lang=js&\n/* harmony default export */var src_inputvue_type_script_lang_js_=inputvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/input/src/input.vue\n/* normalize component */var input_component=normalizeComponent(src_inputvue_type_script_lang_js_,inputvue_type_template_id_343dd774_render,inputvue_type_template_id_343dd774_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var input_api; }input_component.options.__file=\"packages/input/src/input.vue\";/* harmony default export */var src_input=input_component.exports;// CONCATENATED MODULE: ./packages/input/index.js\n/* istanbul ignore next */src_input.install=function(Vue){Vue.component(src_input.name,src_input);};/* harmony default export */var packages_input=src_input;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/input-number/src/input-number.vue?vue&type=template&id=42f8cf66&\nvar input_numbervue_type_template_id_42f8cf66_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{class:[\"el-input-number\",_vm.inputNumberSize?\"el-input-number--\"+_vm.inputNumberSize:\"\",{\"is-disabled\":_vm.inputNumberDisabled},{\"is-without-controls\":!_vm.controls},{\"is-controls-right\":_vm.controlsAtRight}],on:{dragstart:function($event){$event.preventDefault();}}},[_vm.controls?_c(\"span\",{directives:[{name:\"repeat-click\",rawName:\"v-repeat-click\",value:_vm.decrease,expression:\"decrease\"}],staticClass:\"el-input-number__decrease\",class:{\"is-disabled\":_vm.minDisabled},attrs:{role:\"button\"},on:{keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}return _vm.decrease($event);}}},[_c(\"i\",{class:\"el-icon-\"+(_vm.controlsAtRight?\"arrow-down\":\"minus\")})]):_vm._e(),_vm.controls?_c(\"span\",{directives:[{name:\"repeat-click\",rawName:\"v-repeat-click\",value:_vm.increase,expression:\"increase\"}],staticClass:\"el-input-number__increase\",class:{\"is-disabled\":_vm.maxDisabled},attrs:{role:\"button\"},on:{keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}return _vm.increase($event);}}},[_c(\"i\",{class:\"el-icon-\"+(_vm.controlsAtRight?\"arrow-up\":\"plus\")})]):_vm._e(),_c(\"el-input\",{ref:\"input\",attrs:{value:_vm.displayValue,placeholder:_vm.placeholder,disabled:_vm.inputNumberDisabled,size:_vm.inputNumberSize,max:_vm.max,min:_vm.min,name:_vm.name,label:_vm.label},on:{blur:_vm.handleBlur,focus:_vm.handleFocus,input:_vm.handleInput,change:_vm.handleInputChange},nativeOn:{keydown:[function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"up\",38,$event.key,[\"Up\",\"ArrowUp\"])){return null;}$event.preventDefault();return _vm.increase($event);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"down\",40,$event.key,[\"Down\",\"ArrowDown\"])){return null;}$event.preventDefault();return _vm.decrease($event);}]}})],1);};var input_numbervue_type_template_id_42f8cf66_staticRenderFns=[];input_numbervue_type_template_id_42f8cf66_render._withStripped=true;// CONCATENATED MODULE: ./packages/input-number/src/input-number.vue?vue&type=template&id=42f8cf66&\n// CONCATENATED MODULE: ./src/directives/repeat-click.js\n/* harmony default export */var repeat_click={bind:function bind(el,binding,vnode){var interval=null;var startTime=void 0;var maxIntervals=Object(util_[\"isMac\"])()?100:200;var handler=function handler(){return vnode.context[binding.expression].apply();};var clear=function clear(){if(Date.now()-startTime<maxIntervals){handler();}clearInterval(interval);interval=null;};Object(dom_[\"on\"])(el,'mousedown',function(e){if(e.button!==0)return;startTime=Date.now();Object(dom_[\"once\"])(document,'mouseup',clear);clearInterval(interval);interval=setInterval(handler,maxIntervals);});}};// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/input-number/src/input-number.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var input_numbervue_type_script_lang_js_={name:'ElInputNumber',mixins:[focus_default()('input')],inject:{elForm:{default:''},elFormItem:{default:''}},directives:{repeatClick:repeat_click},components:{ElInput:input_default.a},props:{step:{type:Number,default:1},stepStrictly:{type:Boolean,default:false},max:{type:Number,default:Infinity},min:{type:Number,default:-Infinity},value:{},disabled:Boolean,size:String,controls:{type:Boolean,default:true},controlsPosition:{type:String,default:''},name:String,label:String,placeholder:String,precision:{type:Number,validator:function validator(val){return val>=0&&val===parseInt(val,10);}}},data:function data(){return{currentValue:0,userInput:null};},watch:{value:{immediate:true,handler:function handler(value){var newVal=value===undefined?value:Number(value);if(newVal!==undefined){if(isNaN(newVal)){return;}if(this.stepStrictly){var stepPrecision=this.getPrecision(this.step);var precisionFactor=Math.pow(10,stepPrecision);newVal=Math.round(newVal/this.step)*precisionFactor*this.step/precisionFactor;}if(this.precision!==undefined){newVal=this.toPrecision(newVal,this.precision);}}if(newVal>=this.max)newVal=this.max;if(newVal<=this.min)newVal=this.min;this.currentValue=newVal;this.userInput=null;this.$emit('input',newVal);}}},computed:{minDisabled:function minDisabled(){return this._decrease(this.value,this.step)<this.min;},maxDisabled:function maxDisabled(){return this._increase(this.value,this.step)>this.max;},numPrecision:function numPrecision(){var value=this.value,step=this.step,getPrecision=this.getPrecision,precision=this.precision;var stepPrecision=getPrecision(step);if(precision!==undefined){if(stepPrecision>precision){console.warn('[Element Warn][InputNumber]precision should not be less than the decimal places of step');}return precision;}else{return Math.max(getPrecision(value),stepPrecision);}},controlsAtRight:function controlsAtRight(){return this.controls&&this.controlsPosition==='right';},_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},inputNumberSize:function inputNumberSize(){return this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;},inputNumberDisabled:function inputNumberDisabled(){return this.disabled||!!(this.elForm||{}).disabled;},displayValue:function displayValue(){if(this.userInput!==null){return this.userInput;}var currentValue=this.currentValue;if(typeof currentValue==='number'){if(this.stepStrictly){var stepPrecision=this.getPrecision(this.step);var precisionFactor=Math.pow(10,stepPrecision);currentValue=Math.round(currentValue/this.step)*precisionFactor*this.step/precisionFactor;}if(this.precision!==undefined){currentValue=currentValue.toFixed(this.precision);}}return currentValue;}},methods:{toPrecision:function toPrecision(num,precision){if(precision===undefined)precision=this.numPrecision;return parseFloat(Math.round(num*Math.pow(10,precision))/Math.pow(10,precision));},getPrecision:function getPrecision(value){if(value===undefined)return 0;var valueString=value.toString();var dotPosition=valueString.indexOf('.');var precision=0;if(dotPosition!==-1){precision=valueString.length-dotPosition-1;}return precision;},_increase:function _increase(val,step){if(typeof val!=='number'&&val!==undefined)return this.currentValue;var precisionFactor=Math.pow(10,this.numPrecision);// Solve the accuracy problem of JS decimal calculation by converting the value to integer.\nreturn this.toPrecision((precisionFactor*val+precisionFactor*step)/precisionFactor);},_decrease:function _decrease(val,step){if(typeof val!=='number'&&val!==undefined)return this.currentValue;var precisionFactor=Math.pow(10,this.numPrecision);return this.toPrecision((precisionFactor*val-precisionFactor*step)/precisionFactor);},increase:function increase(){if(this.inputNumberDisabled||this.maxDisabled)return;var value=this.value||0;var newVal=this._increase(value,this.step);this.setCurrentValue(newVal);},decrease:function decrease(){if(this.inputNumberDisabled||this.minDisabled)return;var value=this.value||0;var newVal=this._decrease(value,this.step);this.setCurrentValue(newVal);},handleBlur:function handleBlur(event){this.$emit('blur',event);},handleFocus:function handleFocus(event){this.$emit('focus',event);},setCurrentValue:function setCurrentValue(newVal){var oldVal=this.currentValue;if(typeof newVal==='number'&&this.precision!==undefined){newVal=this.toPrecision(newVal,this.precision);}if(newVal>=this.max)newVal=this.max;if(newVal<=this.min)newVal=this.min;if(oldVal===newVal)return;this.userInput=null;this.$emit('input',newVal);this.$emit('change',newVal,oldVal);this.currentValue=newVal;},handleInput:function handleInput(value){this.userInput=value;},handleInputChange:function handleInputChange(value){var newVal=value===''?undefined:Number(value);if(!isNaN(newVal)||value===''){this.setCurrentValue(newVal);}this.userInput=null;},select:function select(){this.$refs.input.select();}},mounted:function mounted(){var innerInput=this.$refs.input.$refs.input;innerInput.setAttribute('role','spinbutton');innerInput.setAttribute('aria-valuemax',this.max);innerInput.setAttribute('aria-valuemin',this.min);innerInput.setAttribute('aria-valuenow',this.currentValue);innerInput.setAttribute('aria-disabled',this.inputNumberDisabled);},updated:function updated(){if(!this.$refs||!this.$refs.input)return;var innerInput=this.$refs.input.$refs.input;innerInput.setAttribute('aria-valuenow',this.currentValue);}};// CONCATENATED MODULE: ./packages/input-number/src/input-number.vue?vue&type=script&lang=js&\n/* harmony default export */var src_input_numbervue_type_script_lang_js_=input_numbervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/input-number/src/input-number.vue\n/* normalize component */var input_number_component=normalizeComponent(src_input_numbervue_type_script_lang_js_,input_numbervue_type_template_id_42f8cf66_render,input_numbervue_type_template_id_42f8cf66_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var input_number_api; }input_number_component.options.__file=\"packages/input-number/src/input-number.vue\";/* harmony default export */var input_number=input_number_component.exports;// CONCATENATED MODULE: ./packages/input-number/index.js\n/* istanbul ignore next */input_number.install=function(Vue){Vue.component(input_number.name,input_number);};/* harmony default export */var packages_input_number=input_number;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/radio/src/radio.vue?vue&type=template&id=69cd6268&\nvar radiovue_type_template_id_69cd6268_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"label\",{staticClass:\"el-radio\",class:[_vm.border&&_vm.radioSize?\"el-radio--\"+_vm.radioSize:\"\",{\"is-disabled\":_vm.isDisabled},{\"is-focus\":_vm.focus},{\"is-bordered\":_vm.border},{\"is-checked\":_vm.model===_vm.label}],attrs:{role:\"radio\",\"aria-checked\":_vm.model===_vm.label,\"aria-disabled\":_vm.isDisabled,tabindex:_vm.tabIndex},on:{keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"space\",32,$event.key,[\" \",\"Spacebar\"])){return null;}$event.stopPropagation();$event.preventDefault();_vm.model=_vm.isDisabled?_vm.model:_vm.label;}}},[_c(\"span\",{staticClass:\"el-radio__input\",class:{\"is-disabled\":_vm.isDisabled,\"is-checked\":_vm.model===_vm.label}},[_c(\"span\",{staticClass:\"el-radio__inner\"}),_c(\"input\",{directives:[{name:\"model\",rawName:\"v-model\",value:_vm.model,expression:\"model\"}],ref:\"radio\",staticClass:\"el-radio__original\",attrs:{type:\"radio\",\"aria-hidden\":\"true\",name:_vm.name,disabled:_vm.isDisabled,tabindex:\"-1\",autocomplete:\"off\"},domProps:{value:_vm.label,checked:_vm._q(_vm.model,_vm.label)},on:{focus:function($event){_vm.focus=true;},blur:function($event){_vm.focus=false;},change:[function($event){_vm.model=_vm.label;},_vm.handleChange]}})]),_c(\"span\",{staticClass:\"el-radio__label\",on:{keydown:function($event){$event.stopPropagation();}}},[_vm._t(\"default\"),!_vm.$slots.default?[_vm._v(_vm._s(_vm.label))]:_vm._e()],2)]);};var radiovue_type_template_id_69cd6268_staticRenderFns=[];radiovue_type_template_id_69cd6268_render._withStripped=true;// CONCATENATED MODULE: ./packages/radio/src/radio.vue?vue&type=template&id=69cd6268&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/radio/src/radio.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var radiovue_type_script_lang_js_={name:'ElRadio',mixins:[emitter_default.a],inject:{elForm:{default:''},elFormItem:{default:''}},componentName:'ElRadio',props:{value:{},label:{},disabled:Boolean,name:String,border:Boolean,size:String},data:function data(){return{focus:false};},computed:{isGroup:function isGroup(){var parent=this.$parent;while(parent){if(parent.$options.componentName!=='ElRadioGroup'){parent=parent.$parent;}else{this._radioGroup=parent;return true;}}return false;},model:{get:function get(){return this.isGroup?this._radioGroup.value:this.value;},set:function set(val){if(this.isGroup){this.dispatch('ElRadioGroup','input',[val]);}else{this.$emit('input',val);}this.$refs.radio&&(this.$refs.radio.checked=this.model===this.label);}},_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},radioSize:function radioSize(){var temRadioSize=this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;return this.isGroup?this._radioGroup.radioGroupSize||temRadioSize:temRadioSize;},isDisabled:function isDisabled(){return this.isGroup?this._radioGroup.disabled||this.disabled||(this.elForm||{}).disabled:this.disabled||(this.elForm||{}).disabled;},tabIndex:function tabIndex(){return this.isDisabled||this.isGroup&&this.model!==this.label?-1:0;}},methods:{handleChange:function handleChange(){var _this=this;this.$nextTick(function(){_this.$emit('change',_this.model);_this.isGroup&&_this.dispatch('ElRadioGroup','handleChange',_this.model);});}}};// CONCATENATED MODULE: ./packages/radio/src/radio.vue?vue&type=script&lang=js&\n/* harmony default export */var src_radiovue_type_script_lang_js_=radiovue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/radio/src/radio.vue\n/* normalize component */var radio_component=normalizeComponent(src_radiovue_type_script_lang_js_,radiovue_type_template_id_69cd6268_render,radiovue_type_template_id_69cd6268_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var radio_api; }radio_component.options.__file=\"packages/radio/src/radio.vue\";/* harmony default export */var src_radio=radio_component.exports;// CONCATENATED MODULE: ./packages/radio/index.js\n/* istanbul ignore next */src_radio.install=function(Vue){Vue.component(src_radio.name,src_radio);};/* harmony default export */var packages_radio=src_radio;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/radio/src/radio-group.vue?vue&type=template&id=818a704c&\nvar radio_groupvue_type_template_id_818a704c_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(_vm._elTag,{tag:\"component\",staticClass:\"el-radio-group\",attrs:{role:\"radiogroup\"},on:{keydown:_vm.handleKeydown}},[_vm._t(\"default\")],2);};var radio_groupvue_type_template_id_818a704c_staticRenderFns=[];radio_groupvue_type_template_id_818a704c_render._withStripped=true;// CONCATENATED MODULE: ./packages/radio/src/radio-group.vue?vue&type=template&id=818a704c&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/radio/src/radio-group.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar keyCode=Object.freeze({LEFT:37,UP:38,RIGHT:39,DOWN:40});/* harmony default export */var radio_groupvue_type_script_lang_js_={name:'ElRadioGroup',componentName:'ElRadioGroup',inject:{elFormItem:{default:''}},mixins:[emitter_default.a],props:{value:{},size:String,fill:String,textColor:String,disabled:Boolean},computed:{_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},_elTag:function _elTag(){var tag=(this.$vnode.data||{}).tag;if(!tag||tag==='component')tag='div';return tag;},radioGroupSize:function radioGroupSize(){return this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;}},created:function created(){var _this=this;this.$on('handleChange',function(value){_this.$emit('change',value);});},mounted:function mounted(){// 当radioGroup没有默认选项时，第一个可以选中Tab导航\nvar radios=this.$el.querySelectorAll('[type=radio]');var firstLabel=this.$el.querySelectorAll('[role=radio]')[0];if(![].some.call(radios,function(radio){return radio.checked;})&&firstLabel){firstLabel.tabIndex=0;}},methods:{handleKeydown:function handleKeydown(e){// 左右上下按键 可以在radio组内切换不同选项\nvar target=e.target;var className=target.nodeName==='INPUT'?'[type=radio]':'[role=radio]';var radios=this.$el.querySelectorAll(className);var length=radios.length;var index=[].indexOf.call(radios,target);var roleRadios=this.$el.querySelectorAll('[role=radio]');switch(e.keyCode){case keyCode.LEFT:case keyCode.UP:e.stopPropagation();e.preventDefault();if(index===0){roleRadios[length-1].click();roleRadios[length-1].focus();}else{roleRadios[index-1].click();roleRadios[index-1].focus();}break;case keyCode.RIGHT:case keyCode.DOWN:if(index===length-1){e.stopPropagation();e.preventDefault();roleRadios[0].click();roleRadios[0].focus();}else{roleRadios[index+1].click();roleRadios[index+1].focus();}break;default:break;}}},watch:{value:function value(_value){this.dispatch('ElFormItem','el.form.change',[this.value]);}}};// CONCATENATED MODULE: ./packages/radio/src/radio-group.vue?vue&type=script&lang=js&\n/* harmony default export */var src_radio_groupvue_type_script_lang_js_=radio_groupvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/radio/src/radio-group.vue\n/* normalize component */var radio_group_component=normalizeComponent(src_radio_groupvue_type_script_lang_js_,radio_groupvue_type_template_id_818a704c_render,radio_groupvue_type_template_id_818a704c_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var radio_group_api; }radio_group_component.options.__file=\"packages/radio/src/radio-group.vue\";/* harmony default export */var radio_group=radio_group_component.exports;// CONCATENATED MODULE: ./packages/radio-group/index.js\n/* istanbul ignore next */radio_group.install=function(Vue){Vue.component(radio_group.name,radio_group);};/* harmony default export */var packages_radio_group=radio_group;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/radio/src/radio-button.vue?vue&type=template&id=18a77a32&\nvar radio_buttonvue_type_template_id_18a77a32_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"label\",{staticClass:\"el-radio-button\",class:[_vm.size?\"el-radio-button--\"+_vm.size:\"\",{\"is-active\":_vm.value===_vm.label},{\"is-disabled\":_vm.isDisabled},{\"is-focus\":_vm.focus}],attrs:{role:\"radio\",\"aria-checked\":_vm.value===_vm.label,\"aria-disabled\":_vm.isDisabled,tabindex:_vm.tabIndex},on:{keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"space\",32,$event.key,[\" \",\"Spacebar\"])){return null;}$event.stopPropagation();$event.preventDefault();_vm.value=_vm.isDisabled?_vm.value:_vm.label;}}},[_c(\"input\",{directives:[{name:\"model\",rawName:\"v-model\",value:_vm.value,expression:\"value\"}],staticClass:\"el-radio-button__orig-radio\",attrs:{type:\"radio\",name:_vm.name,disabled:_vm.isDisabled,tabindex:\"-1\",autocomplete:\"off\"},domProps:{value:_vm.label,checked:_vm._q(_vm.value,_vm.label)},on:{change:[function($event){_vm.value=_vm.label;},_vm.handleChange],focus:function($event){_vm.focus=true;},blur:function($event){_vm.focus=false;}}}),_c(\"span\",{staticClass:\"el-radio-button__inner\",style:_vm.value===_vm.label?_vm.activeStyle:null,on:{keydown:function($event){$event.stopPropagation();}}},[_vm._t(\"default\"),!_vm.$slots.default?[_vm._v(_vm._s(_vm.label))]:_vm._e()],2)]);};var radio_buttonvue_type_template_id_18a77a32_staticRenderFns=[];radio_buttonvue_type_template_id_18a77a32_render._withStripped=true;// CONCATENATED MODULE: ./packages/radio/src/radio-button.vue?vue&type=template&id=18a77a32&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/radio/src/radio-button.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var radio_buttonvue_type_script_lang_js_={name:'ElRadioButton',mixins:[emitter_default.a],inject:{elForm:{default:''},elFormItem:{default:''}},props:{label:{},disabled:Boolean,name:String},data:function data(){return{focus:false};},computed:{value:{get:function get(){return this._radioGroup.value;},set:function set(value){this._radioGroup.$emit('input',value);}},_radioGroup:function _radioGroup(){var parent=this.$parent;while(parent){if(parent.$options.componentName!=='ElRadioGroup'){parent=parent.$parent;}else{return parent;}}return false;},activeStyle:function activeStyle(){return{backgroundColor:this._radioGroup.fill||'',borderColor:this._radioGroup.fill||'',boxShadow:this._radioGroup.fill?'-1px 0 0 0 '+this._radioGroup.fill:'',color:this._radioGroup.textColor||''};},_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},size:function size(){return this._radioGroup.radioGroupSize||this._elFormItemSize||(this.$ELEMENT||{}).size;},isDisabled:function isDisabled(){return this.disabled||this._radioGroup.disabled||(this.elForm||{}).disabled;},tabIndex:function tabIndex(){return this.isDisabled||this._radioGroup&&this.value!==this.label?-1:0;}},methods:{handleChange:function handleChange(){var _this=this;this.$nextTick(function(){_this.dispatch('ElRadioGroup','handleChange',_this.value);});}}};// CONCATENATED MODULE: ./packages/radio/src/radio-button.vue?vue&type=script&lang=js&\n/* harmony default export */var src_radio_buttonvue_type_script_lang_js_=radio_buttonvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/radio/src/radio-button.vue\n/* normalize component */var radio_button_component=normalizeComponent(src_radio_buttonvue_type_script_lang_js_,radio_buttonvue_type_template_id_18a77a32_render,radio_buttonvue_type_template_id_18a77a32_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var radio_button_api; }radio_button_component.options.__file=\"packages/radio/src/radio-button.vue\";/* harmony default export */var radio_button=radio_button_component.exports;// CONCATENATED MODULE: ./packages/radio-button/index.js\n/* istanbul ignore next */radio_button.install=function(Vue){Vue.component(radio_button.name,radio_button);};/* harmony default export */var packages_radio_button=radio_button;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/checkbox/src/checkbox.vue?vue&type=template&id=d0387074&\nvar checkboxvue_type_template_id_d0387074_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"label\",{staticClass:\"el-checkbox\",class:[_vm.border&&_vm.checkboxSize?\"el-checkbox--\"+_vm.checkboxSize:\"\",{\"is-disabled\":_vm.isDisabled},{\"is-bordered\":_vm.border},{\"is-checked\":_vm.isChecked}],attrs:{id:_vm.id}},[_c(\"span\",{staticClass:\"el-checkbox__input\",class:{\"is-disabled\":_vm.isDisabled,\"is-checked\":_vm.isChecked,\"is-indeterminate\":_vm.indeterminate,\"is-focus\":_vm.focus},attrs:{tabindex:_vm.indeterminate?0:false,role:_vm.indeterminate?\"checkbox\":false,\"aria-checked\":_vm.indeterminate?\"mixed\":false}},[_c(\"span\",{staticClass:\"el-checkbox__inner\"}),_vm.trueLabel||_vm.falseLabel?_c(\"input\",{directives:[{name:\"model\",rawName:\"v-model\",value:_vm.model,expression:\"model\"}],staticClass:\"el-checkbox__original\",attrs:{type:\"checkbox\",\"aria-hidden\":_vm.indeterminate?\"true\":\"false\",name:_vm.name,disabled:_vm.isDisabled,\"true-value\":_vm.trueLabel,\"false-value\":_vm.falseLabel},domProps:{checked:Array.isArray(_vm.model)?_vm._i(_vm.model,null)>-1:_vm._q(_vm.model,_vm.trueLabel)},on:{change:[function($event){var $$a=_vm.model,$$el=$event.target,$$c=$$el.checked?_vm.trueLabel:_vm.falseLabel;if(Array.isArray($$a)){var $$v=null,$$i=_vm._i($$a,$$v);if($$el.checked){$$i<0&&(_vm.model=$$a.concat([$$v]));}else{$$i>-1&&(_vm.model=$$a.slice(0,$$i).concat($$a.slice($$i+1)));}}else{_vm.model=$$c;}},_vm.handleChange],focus:function($event){_vm.focus=true;},blur:function($event){_vm.focus=false;}}}):_c(\"input\",{directives:[{name:\"model\",rawName:\"v-model\",value:_vm.model,expression:\"model\"}],staticClass:\"el-checkbox__original\",attrs:{type:\"checkbox\",\"aria-hidden\":_vm.indeterminate?\"true\":\"false\",disabled:_vm.isDisabled,name:_vm.name},domProps:{value:_vm.label,checked:Array.isArray(_vm.model)?_vm._i(_vm.model,_vm.label)>-1:_vm.model},on:{change:[function($event){var $$a=_vm.model,$$el=$event.target,$$c=$$el.checked?true:false;if(Array.isArray($$a)){var $$v=_vm.label,$$i=_vm._i($$a,$$v);if($$el.checked){$$i<0&&(_vm.model=$$a.concat([$$v]));}else{$$i>-1&&(_vm.model=$$a.slice(0,$$i).concat($$a.slice($$i+1)));}}else{_vm.model=$$c;}},_vm.handleChange],focus:function($event){_vm.focus=true;},blur:function($event){_vm.focus=false;}}})]),_vm.$slots.default||_vm.label?_c(\"span\",{staticClass:\"el-checkbox__label\"},[_vm._t(\"default\"),!_vm.$slots.default?[_vm._v(_vm._s(_vm.label))]:_vm._e()],2):_vm._e()]);};var checkboxvue_type_template_id_d0387074_staticRenderFns=[];checkboxvue_type_template_id_d0387074_render._withStripped=true;// CONCATENATED MODULE: ./packages/checkbox/src/checkbox.vue?vue&type=template&id=d0387074&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/checkbox/src/checkbox.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var checkboxvue_type_script_lang_js_={name:'ElCheckbox',mixins:[emitter_default.a],inject:{elForm:{default:''},elFormItem:{default:''}},componentName:'ElCheckbox',data:function data(){return{selfModel:false,focus:false,isLimitExceeded:false};},computed:{model:{get:function get(){return this.isGroup?this.store:this.value!==undefined?this.value:this.selfModel;},set:function set(val){if(this.isGroup){this.isLimitExceeded=false;this._checkboxGroup.min!==undefined&&val.length<this._checkboxGroup.min&&(this.isLimitExceeded=true);this._checkboxGroup.max!==undefined&&val.length>this._checkboxGroup.max&&(this.isLimitExceeded=true);this.isLimitExceeded===false&&this.dispatch('ElCheckboxGroup','input',[val]);}else{this.$emit('input',val);this.selfModel=val;}}},isChecked:function isChecked(){if({}.toString.call(this.model)==='[object Boolean]'){return this.model;}else if(Array.isArray(this.model)){return this.model.indexOf(this.label)>-1;}else if(this.model!==null&&this.model!==undefined){return this.model===this.trueLabel;}},isGroup:function isGroup(){var parent=this.$parent;while(parent){if(parent.$options.componentName!=='ElCheckboxGroup'){parent=parent.$parent;}else{this._checkboxGroup=parent;return true;}}return false;},store:function store(){return this._checkboxGroup?this._checkboxGroup.value:this.value;},/* used to make the isDisabled judgment under max/min props */isLimitDisabled:function isLimitDisabled(){var _checkboxGroup=this._checkboxGroup,max=_checkboxGroup.max,min=_checkboxGroup.min;return!!(max||min)&&this.model.length>=max&&!this.isChecked||this.model.length<=min&&this.isChecked;},isDisabled:function isDisabled(){return this.isGroup?this._checkboxGroup.disabled||this.disabled||(this.elForm||{}).disabled||this.isLimitDisabled:this.disabled||(this.elForm||{}).disabled;},_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},checkboxSize:function checkboxSize(){var temCheckboxSize=this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;return this.isGroup?this._checkboxGroup.checkboxGroupSize||temCheckboxSize:temCheckboxSize;}},props:{value:{},label:{},indeterminate:Boolean,disabled:Boolean,checked:Boolean,name:String,trueLabel:[String,Number],falseLabel:[String,Number],id:String,/* 当indeterminate为真时，为controls提供相关连的checkbox的id，表明元素间的控制关系*/controls:String,/* 当indeterminate为真时，为controls提供相关连的checkbox的id，表明元素间的控制关系*/border:Boolean,size:String},methods:{addToStore:function addToStore(){if(Array.isArray(this.model)&&this.model.indexOf(this.label)===-1){this.model.push(this.label);}else{this.model=this.trueLabel||true;}},handleChange:function handleChange(ev){var _this=this;if(this.isLimitExceeded)return;var value=void 0;if(ev.target.checked){value=this.trueLabel===undefined?true:this.trueLabel;}else{value=this.falseLabel===undefined?false:this.falseLabel;}this.$emit('change',value,ev);this.$nextTick(function(){if(_this.isGroup){_this.dispatch('ElCheckboxGroup','change',[_this._checkboxGroup.value]);}});}},created:function created(){this.checked&&this.addToStore();},mounted:function mounted(){// 为indeterminate元素 添加aria-controls 属性\nif(this.indeterminate){this.$el.setAttribute('aria-controls',this.controls);}},watch:{value:function value(_value){this.dispatch('ElFormItem','el.form.change',_value);}}};// CONCATENATED MODULE: ./packages/checkbox/src/checkbox.vue?vue&type=script&lang=js&\n/* harmony default export */var src_checkboxvue_type_script_lang_js_=checkboxvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/checkbox/src/checkbox.vue\n/* normalize component */var checkbox_component=normalizeComponent(src_checkboxvue_type_script_lang_js_,checkboxvue_type_template_id_d0387074_render,checkboxvue_type_template_id_d0387074_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var checkbox_api; }checkbox_component.options.__file=\"packages/checkbox/src/checkbox.vue\";/* harmony default export */var src_checkbox=checkbox_component.exports;// CONCATENATED MODULE: ./packages/checkbox/index.js\n/* istanbul ignore next */src_checkbox.install=function(Vue){Vue.component(src_checkbox.name,src_checkbox);};/* harmony default export */var packages_checkbox=src_checkbox;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/checkbox/src/checkbox-button.vue?vue&type=template&id=478e906e&\nvar checkbox_buttonvue_type_template_id_478e906e_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"label\",{staticClass:\"el-checkbox-button\",class:[_vm.size?\"el-checkbox-button--\"+_vm.size:\"\",{\"is-disabled\":_vm.isDisabled},{\"is-checked\":_vm.isChecked},{\"is-focus\":_vm.focus}],attrs:{role:\"checkbox\",\"aria-checked\":_vm.isChecked,\"aria-disabled\":_vm.isDisabled}},[_vm.trueLabel||_vm.falseLabel?_c(\"input\",{directives:[{name:\"model\",rawName:\"v-model\",value:_vm.model,expression:\"model\"}],staticClass:\"el-checkbox-button__original\",attrs:{type:\"checkbox\",name:_vm.name,disabled:_vm.isDisabled,\"true-value\":_vm.trueLabel,\"false-value\":_vm.falseLabel},domProps:{checked:Array.isArray(_vm.model)?_vm._i(_vm.model,null)>-1:_vm._q(_vm.model,_vm.trueLabel)},on:{change:[function($event){var $$a=_vm.model,$$el=$event.target,$$c=$$el.checked?_vm.trueLabel:_vm.falseLabel;if(Array.isArray($$a)){var $$v=null,$$i=_vm._i($$a,$$v);if($$el.checked){$$i<0&&(_vm.model=$$a.concat([$$v]));}else{$$i>-1&&(_vm.model=$$a.slice(0,$$i).concat($$a.slice($$i+1)));}}else{_vm.model=$$c;}},_vm.handleChange],focus:function($event){_vm.focus=true;},blur:function($event){_vm.focus=false;}}}):_c(\"input\",{directives:[{name:\"model\",rawName:\"v-model\",value:_vm.model,expression:\"model\"}],staticClass:\"el-checkbox-button__original\",attrs:{type:\"checkbox\",name:_vm.name,disabled:_vm.isDisabled},domProps:{value:_vm.label,checked:Array.isArray(_vm.model)?_vm._i(_vm.model,_vm.label)>-1:_vm.model},on:{change:[function($event){var $$a=_vm.model,$$el=$event.target,$$c=$$el.checked?true:false;if(Array.isArray($$a)){var $$v=_vm.label,$$i=_vm._i($$a,$$v);if($$el.checked){$$i<0&&(_vm.model=$$a.concat([$$v]));}else{$$i>-1&&(_vm.model=$$a.slice(0,$$i).concat($$a.slice($$i+1)));}}else{_vm.model=$$c;}},_vm.handleChange],focus:function($event){_vm.focus=true;},blur:function($event){_vm.focus=false;}}}),_vm.$slots.default||_vm.label?_c(\"span\",{staticClass:\"el-checkbox-button__inner\",style:_vm.isChecked?_vm.activeStyle:null},[_vm._t(\"default\",[_vm._v(_vm._s(_vm.label))])],2):_vm._e()]);};var checkbox_buttonvue_type_template_id_478e906e_staticRenderFns=[];checkbox_buttonvue_type_template_id_478e906e_render._withStripped=true;// CONCATENATED MODULE: ./packages/checkbox/src/checkbox-button.vue?vue&type=template&id=478e906e&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/checkbox/src/checkbox-button.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var checkbox_buttonvue_type_script_lang_js_={name:'ElCheckboxButton',mixins:[emitter_default.a],inject:{elForm:{default:''},elFormItem:{default:''}},data:function data(){return{selfModel:false,focus:false,isLimitExceeded:false};},props:{value:{},label:{},disabled:Boolean,checked:Boolean,name:String,trueLabel:[String,Number],falseLabel:[String,Number]},computed:{model:{get:function get(){return this._checkboxGroup?this.store:this.value!==undefined?this.value:this.selfModel;},set:function set(val){if(this._checkboxGroup){this.isLimitExceeded=false;this._checkboxGroup.min!==undefined&&val.length<this._checkboxGroup.min&&(this.isLimitExceeded=true);this._checkboxGroup.max!==undefined&&val.length>this._checkboxGroup.max&&(this.isLimitExceeded=true);this.isLimitExceeded===false&&this.dispatch('ElCheckboxGroup','input',[val]);}else if(this.value!==undefined){this.$emit('input',val);}else{this.selfModel=val;}}},isChecked:function isChecked(){if({}.toString.call(this.model)==='[object Boolean]'){return this.model;}else if(Array.isArray(this.model)){return this.model.indexOf(this.label)>-1;}else if(this.model!==null&&this.model!==undefined){return this.model===this.trueLabel;}},_checkboxGroup:function _checkboxGroup(){var parent=this.$parent;while(parent){if(parent.$options.componentName!=='ElCheckboxGroup'){parent=parent.$parent;}else{return parent;}}return false;},store:function store(){return this._checkboxGroup?this._checkboxGroup.value:this.value;},activeStyle:function activeStyle(){return{backgroundColor:this._checkboxGroup.fill||'',borderColor:this._checkboxGroup.fill||'',color:this._checkboxGroup.textColor||'','box-shadow':'-1px 0 0 0 '+this._checkboxGroup.fill};},_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},size:function size(){return this._checkboxGroup.checkboxGroupSize||this._elFormItemSize||(this.$ELEMENT||{}).size;},/* used to make the isDisabled judgment under max/min props */isLimitDisabled:function isLimitDisabled(){var _checkboxGroup2=this._checkboxGroup,max=_checkboxGroup2.max,min=_checkboxGroup2.min;return!!(max||min)&&this.model.length>=max&&!this.isChecked||this.model.length<=min&&this.isChecked;},isDisabled:function isDisabled(){return this._checkboxGroup?this._checkboxGroup.disabled||this.disabled||(this.elForm||{}).disabled||this.isLimitDisabled:this.disabled||(this.elForm||{}).disabled;}},methods:{addToStore:function addToStore(){if(Array.isArray(this.model)&&this.model.indexOf(this.label)===-1){this.model.push(this.label);}else{this.model=this.trueLabel||true;}},handleChange:function handleChange(ev){var _this=this;if(this.isLimitExceeded)return;var value=void 0;if(ev.target.checked){value=this.trueLabel===undefined?true:this.trueLabel;}else{value=this.falseLabel===undefined?false:this.falseLabel;}this.$emit('change',value,ev);this.$nextTick(function(){if(_this._checkboxGroup){_this.dispatch('ElCheckboxGroup','change',[_this._checkboxGroup.value]);}});}},created:function created(){this.checked&&this.addToStore();}};// CONCATENATED MODULE: ./packages/checkbox/src/checkbox-button.vue?vue&type=script&lang=js&\n/* harmony default export */var src_checkbox_buttonvue_type_script_lang_js_=checkbox_buttonvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/checkbox/src/checkbox-button.vue\n/* normalize component */var checkbox_button_component=normalizeComponent(src_checkbox_buttonvue_type_script_lang_js_,checkbox_buttonvue_type_template_id_478e906e_render,checkbox_buttonvue_type_template_id_478e906e_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var checkbox_button_api; }checkbox_button_component.options.__file=\"packages/checkbox/src/checkbox-button.vue\";/* harmony default export */var checkbox_button=checkbox_button_component.exports;// CONCATENATED MODULE: ./packages/checkbox-button/index.js\n/* istanbul ignore next */checkbox_button.install=function(Vue){Vue.component(checkbox_button.name,checkbox_button);};/* harmony default export */var packages_checkbox_button=checkbox_button;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/checkbox/src/checkbox-group.vue?vue&type=template&id=7289a290&\nvar checkbox_groupvue_type_template_id_7289a290_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-checkbox-group\",attrs:{role:\"group\",\"aria-label\":\"checkbox-group\"}},[_vm._t(\"default\")],2);};var checkbox_groupvue_type_template_id_7289a290_staticRenderFns=[];checkbox_groupvue_type_template_id_7289a290_render._withStripped=true;// CONCATENATED MODULE: ./packages/checkbox/src/checkbox-group.vue?vue&type=template&id=7289a290&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/checkbox/src/checkbox-group.vue?vue&type=script&lang=js&\n/* harmony default export */var checkbox_groupvue_type_script_lang_js_={name:'ElCheckboxGroup',componentName:'ElCheckboxGroup',mixins:[emitter_default.a],inject:{elFormItem:{default:''}},props:{value:{},disabled:Boolean,min:Number,max:Number,size:String,fill:String,textColor:String},computed:{_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},checkboxGroupSize:function checkboxGroupSize(){return this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;}},watch:{value:function value(_value){this.dispatch('ElFormItem','el.form.change',[_value]);}}};// CONCATENATED MODULE: ./packages/checkbox/src/checkbox-group.vue?vue&type=script&lang=js&\n/* harmony default export */var src_checkbox_groupvue_type_script_lang_js_=checkbox_groupvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/checkbox/src/checkbox-group.vue\n/* normalize component */var checkbox_group_component=normalizeComponent(src_checkbox_groupvue_type_script_lang_js_,checkbox_groupvue_type_template_id_7289a290_render,checkbox_groupvue_type_template_id_7289a290_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var checkbox_group_api; }checkbox_group_component.options.__file=\"packages/checkbox/src/checkbox-group.vue\";/* harmony default export */var checkbox_group=checkbox_group_component.exports;// CONCATENATED MODULE: ./packages/checkbox-group/index.js\n/* istanbul ignore next */checkbox_group.install=function(Vue){Vue.component(checkbox_group.name,checkbox_group);};/* harmony default export */var packages_checkbox_group=checkbox_group;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/switch/src/component.vue?vue&type=template&id=2dcd8fbb&\nvar componentvue_type_template_id_2dcd8fbb_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-switch\",class:{\"is-disabled\":_vm.switchDisabled,\"is-checked\":_vm.checked},attrs:{role:\"switch\",\"aria-checked\":_vm.checked,\"aria-disabled\":_vm.switchDisabled},on:{click:function($event){$event.preventDefault();return _vm.switchValue($event);}}},[_c(\"input\",{ref:\"input\",staticClass:\"el-switch__input\",attrs:{type:\"checkbox\",id:_vm.id,name:_vm.name,\"true-value\":_vm.activeValue,\"false-value\":_vm.inactiveValue,disabled:_vm.switchDisabled},on:{change:_vm.handleChange,keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}return _vm.switchValue($event);}}}),_vm.inactiveIconClass||_vm.inactiveText?_c(\"span\",{class:[\"el-switch__label\",\"el-switch__label--left\",!_vm.checked?\"is-active\":\"\"]},[_vm.inactiveIconClass?_c(\"i\",{class:[_vm.inactiveIconClass]}):_vm._e(),!_vm.inactiveIconClass&&_vm.inactiveText?_c(\"span\",{attrs:{\"aria-hidden\":_vm.checked}},[_vm._v(_vm._s(_vm.inactiveText))]):_vm._e()]):_vm._e(),_c(\"span\",{ref:\"core\",staticClass:\"el-switch__core\",style:{width:_vm.coreWidth+\"px\"}}),_vm.activeIconClass||_vm.activeText?_c(\"span\",{class:[\"el-switch__label\",\"el-switch__label--right\",_vm.checked?\"is-active\":\"\"]},[_vm.activeIconClass?_c(\"i\",{class:[_vm.activeIconClass]}):_vm._e(),!_vm.activeIconClass&&_vm.activeText?_c(\"span\",{attrs:{\"aria-hidden\":!_vm.checked}},[_vm._v(_vm._s(_vm.activeText))]):_vm._e()]):_vm._e()]);};var componentvue_type_template_id_2dcd8fbb_staticRenderFns=[];componentvue_type_template_id_2dcd8fbb_render._withStripped=true;// CONCATENATED MODULE: ./packages/switch/src/component.vue?vue&type=template&id=2dcd8fbb&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/switch/src/component.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var switch_src_componentvue_type_script_lang_js_={name:'ElSwitch',mixins:[focus_default()('input'),migrating_default.a,emitter_default.a],inject:{elForm:{default:''}},props:{value:{type:[Boolean,String,Number],default:false},disabled:{type:Boolean,default:false},width:{type:Number,default:40},activeIconClass:{type:String,default:''},inactiveIconClass:{type:String,default:''},activeText:String,inactiveText:String,activeColor:{type:String,default:''},inactiveColor:{type:String,default:''},activeValue:{type:[Boolean,String,Number],default:true},inactiveValue:{type:[Boolean,String,Number],default:false},name:{type:String,default:''},validateEvent:{type:Boolean,default:true},id:String},data:function data(){return{coreWidth:this.width};},created:function created(){if(!~[this.activeValue,this.inactiveValue].indexOf(this.value)){this.$emit('input',this.inactiveValue);}},computed:{checked:function checked(){return this.value===this.activeValue;},switchDisabled:function switchDisabled(){return this.disabled||(this.elForm||{}).disabled;}},watch:{checked:function checked(){this.$refs.input.checked=this.checked;if(this.activeColor||this.inactiveColor){this.setBackgroundColor();}if(this.validateEvent){this.dispatch('ElFormItem','el.form.change',[this.value]);}}},methods:{handleChange:function handleChange(event){var _this=this;var val=this.checked?this.inactiveValue:this.activeValue;this.$emit('input',val);this.$emit('change',val);this.$nextTick(function(){// set input's checked property\n// in case parent refuses to change component's value\nif(_this.$refs.input){_this.$refs.input.checked=_this.checked;}});},setBackgroundColor:function setBackgroundColor(){var newColor=this.checked?this.activeColor:this.inactiveColor;this.$refs.core.style.borderColor=newColor;this.$refs.core.style.backgroundColor=newColor;},switchValue:function switchValue(){!this.switchDisabled&&this.handleChange();},getMigratingConfig:function getMigratingConfig(){return{props:{'on-color':'on-color is renamed to active-color.','off-color':'off-color is renamed to inactive-color.','on-text':'on-text is renamed to active-text.','off-text':'off-text is renamed to inactive-text.','on-value':'on-value is renamed to active-value.','off-value':'off-value is renamed to inactive-value.','on-icon-class':'on-icon-class is renamed to active-icon-class.','off-icon-class':'off-icon-class is renamed to inactive-icon-class.'}};}},mounted:function mounted(){/* istanbul ignore if */this.coreWidth=this.width||40;if(this.activeColor||this.inactiveColor){this.setBackgroundColor();}this.$refs.input.checked=this.checked;}};// CONCATENATED MODULE: ./packages/switch/src/component.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_switch_src_componentvue_type_script_lang_js_=switch_src_componentvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/switch/src/component.vue\n/* normalize component */var src_component_component=normalizeComponent(packages_switch_src_componentvue_type_script_lang_js_,componentvue_type_template_id_2dcd8fbb_render,componentvue_type_template_id_2dcd8fbb_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var src_component_api; }src_component_component.options.__file=\"packages/switch/src/component.vue\";/* harmony default export */var switch_src_component=src_component_component.exports;// CONCATENATED MODULE: ./packages/switch/index.js\n/* istanbul ignore next */switch_src_component.install=function(Vue){Vue.component(switch_src_component.name,switch_src_component);};/* harmony default export */var packages_switch=switch_src_component;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/select.vue?vue&type=template&id=0e4aade6&\nvar selectvue_type_template_id_0e4aade6_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.handleClose,expression:\"handleClose\"}],staticClass:\"el-select\",class:[_vm.selectSize?\"el-select--\"+_vm.selectSize:\"\"],on:{click:function($event){$event.stopPropagation();return _vm.toggleMenu($event);}}},[_vm.multiple?_c(\"div\",{ref:\"tags\",staticClass:\"el-select__tags\",style:{\"max-width\":_vm.inputWidth-32+\"px\",width:\"100%\"}},[_vm.collapseTags&&_vm.selected.length?_c(\"span\",[_c(\"el-tag\",{attrs:{closable:!_vm.selectDisabled,size:_vm.collapseTagSize,hit:_vm.selected[0].hitState,type:\"info\",\"disable-transitions\":\"\"},on:{close:function($event){_vm.deleteTag($event,_vm.selected[0]);}}},[_c(\"span\",{staticClass:\"el-select__tags-text\"},[_vm._v(_vm._s(_vm.selected[0].currentLabel))])]),_vm.selected.length>1?_c(\"el-tag\",{attrs:{closable:false,size:_vm.collapseTagSize,type:\"info\",\"disable-transitions\":\"\"}},[_c(\"span\",{staticClass:\"el-select__tags-text\"},[_vm._v(\"+ \"+_vm._s(_vm.selected.length-1))])]):_vm._e()],1):_vm._e(),!_vm.collapseTags?_c(\"transition-group\",{on:{\"after-leave\":_vm.resetInputHeight}},_vm._l(_vm.selected,function(item){return _c(\"el-tag\",{key:_vm.getValueKey(item),attrs:{closable:!_vm.selectDisabled,size:_vm.collapseTagSize,hit:item.hitState,type:\"info\",\"disable-transitions\":\"\"},on:{close:function($event){_vm.deleteTag($event,item);}}},[_c(\"span\",{staticClass:\"el-select__tags-text\"},[_vm._v(_vm._s(item.currentLabel))])]);}),1):_vm._e(),_vm.filterable?_c(\"input\",{directives:[{name:\"model\",rawName:\"v-model\",value:_vm.query,expression:\"query\"}],ref:\"input\",staticClass:\"el-select__input\",class:[_vm.selectSize?\"is-\"+_vm.selectSize:\"\"],style:{\"flex-grow\":\"1\",width:_vm.inputLength/(_vm.inputWidth-32)+\"%\",\"max-width\":_vm.inputWidth-42+\"px\"},attrs:{type:\"text\",disabled:_vm.selectDisabled,autocomplete:_vm.autoComplete||_vm.autocomplete},domProps:{value:_vm.query},on:{focus:_vm.handleFocus,blur:function($event){_vm.softFocus=false;},keyup:_vm.managePlaceholder,keydown:[_vm.resetInputState,function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"down\",40,$event.key,[\"Down\",\"ArrowDown\"])){return null;}$event.preventDefault();_vm.handleNavigate(\"next\");},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"up\",38,$event.key,[\"Up\",\"ArrowUp\"])){return null;}$event.preventDefault();_vm.handleNavigate(\"prev\");},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}$event.preventDefault();return _vm.selectOption($event);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"esc\",27,$event.key,[\"Esc\",\"Escape\"])){return null;}$event.stopPropagation();$event.preventDefault();_vm.visible=false;},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"delete\",[8,46],$event.key,[\"Backspace\",\"Delete\",\"Del\"])){return null;}return _vm.deletePrevTag($event);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"tab\",9,$event.key,\"Tab\")){return null;}_vm.visible=false;}],compositionstart:_vm.handleComposition,compositionupdate:_vm.handleComposition,compositionend:_vm.handleComposition,input:[function($event){if($event.target.composing){return;}_vm.query=$event.target.value;},_vm.debouncedQueryChange]}}):_vm._e()],1):_vm._e(),_c(\"el-input\",{ref:\"reference\",class:{\"is-focus\":_vm.visible},attrs:{type:\"text\",placeholder:_vm.currentPlaceholder,name:_vm.name,id:_vm.id,autocomplete:_vm.autoComplete||_vm.autocomplete,size:_vm.selectSize,disabled:_vm.selectDisabled,readonly:_vm.readonly,\"validate-event\":false,tabindex:_vm.multiple&&_vm.filterable?\"-1\":null},on:{focus:_vm.handleFocus,blur:_vm.handleBlur,input:_vm.debouncedOnInputChange,compositionstart:_vm.handleComposition,compositionupdate:_vm.handleComposition,compositionend:_vm.handleComposition},nativeOn:{keydown:[function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"down\",40,$event.key,[\"Down\",\"ArrowDown\"])){return null;}$event.stopPropagation();$event.preventDefault();_vm.handleNavigate(\"next\");},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"up\",38,$event.key,[\"Up\",\"ArrowUp\"])){return null;}$event.stopPropagation();$event.preventDefault();_vm.handleNavigate(\"prev\");},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}$event.preventDefault();return _vm.selectOption($event);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"esc\",27,$event.key,[\"Esc\",\"Escape\"])){return null;}$event.stopPropagation();$event.preventDefault();_vm.visible=false;},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"tab\",9,$event.key,\"Tab\")){return null;}_vm.visible=false;}],mouseenter:function($event){_vm.inputHovering=true;},mouseleave:function($event){_vm.inputHovering=false;}},model:{value:_vm.selectedLabel,callback:function($$v){_vm.selectedLabel=$$v;},expression:\"selectedLabel\"}},[_vm.$slots.prefix?_c(\"template\",{slot:\"prefix\"},[_vm._t(\"prefix\")],2):_vm._e(),_c(\"template\",{slot:\"suffix\"},[_c(\"i\",{directives:[{name:\"show\",rawName:\"v-show\",value:!_vm.showClose,expression:\"!showClose\"}],class:[\"el-select__caret\",\"el-input__icon\",\"el-icon-\"+_vm.iconClass]}),_vm.showClose?_c(\"i\",{staticClass:\"el-select__caret el-input__icon el-icon-circle-close\",on:{click:_vm.handleClearClick}}):_vm._e()])],2),_c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"before-enter\":_vm.handleMenuEnter,\"after-leave\":_vm.doDestroy}},[_c(\"el-select-menu\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible&&_vm.emptyText!==false,expression:\"visible && emptyText !== false\"}],ref:\"popper\",attrs:{\"append-to-body\":_vm.popperAppendToBody}},[_c(\"el-scrollbar\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.options.length>0&&!_vm.loading,expression:\"options.length > 0 && !loading\"}],ref:\"scrollbar\",class:{\"is-empty\":!_vm.allowCreate&&_vm.query&&_vm.filteredOptionsCount===0},attrs:{tag:\"ul\",\"wrap-class\":\"el-select-dropdown__wrap\",\"view-class\":\"el-select-dropdown__list\"}},[_vm.showNewOption?_c(\"el-option\",{attrs:{value:_vm.query,created:\"\"}}):_vm._e(),_vm._t(\"default\")],2),_vm.emptyText&&(!_vm.allowCreate||_vm.loading||_vm.allowCreate&&_vm.options.length===0)?[_vm.$slots.empty?_vm._t(\"empty\"):_c(\"p\",{staticClass:\"el-select-dropdown__empty\"},[_vm._v(\"\\n          \"+_vm._s(_vm.emptyText)+\"\\n        \")])]:_vm._e()],2)],1)],1);};var selectvue_type_template_id_0e4aade6_staticRenderFns=[];selectvue_type_template_id_0e4aade6_render._withStripped=true;// CONCATENATED MODULE: ./packages/select/src/select.vue?vue&type=template&id=0e4aade6&\n// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/select-dropdown.vue?vue&type=template&id=06828748&\nvar select_dropdownvue_type_template_id_06828748_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-select-dropdown el-popper\",class:[{\"is-multiple\":_vm.$parent.multiple},_vm.popperClass],style:{minWidth:_vm.minWidth}},[_vm._t(\"default\")],2);};var select_dropdownvue_type_template_id_06828748_staticRenderFns=[];select_dropdownvue_type_template_id_06828748_render._withStripped=true;// CONCATENATED MODULE: ./packages/select/src/select-dropdown.vue?vue&type=template&id=06828748&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/select-dropdown.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var select_dropdownvue_type_script_lang_js_={name:'ElSelectDropdown',componentName:'ElSelectDropdown',mixins:[vue_popper_default.a],props:{placement:{default:'bottom-start'},boundariesPadding:{default:0},popperOptions:{default:function _default(){return{gpuAcceleration:false};}},visibleArrow:{default:true},appendToBody:{type:Boolean,default:true}},data:function data(){return{minWidth:''};},computed:{popperClass:function popperClass(){return this.$parent.popperClass;}},watch:{'$parent.inputWidth':function $parentInputWidth(){this.minWidth=this.$parent.$el.getBoundingClientRect().width+'px';}},mounted:function mounted(){var _this=this;this.referenceElm=this.$parent.$refs.reference.$el;this.$parent.popperElm=this.popperElm=this.$el;this.$on('updatePopper',function(){if(_this.$parent.visible)_this.updatePopper();});this.$on('destroyPopper',this.destroyPopper);}};// CONCATENATED MODULE: ./packages/select/src/select-dropdown.vue?vue&type=script&lang=js&\n/* harmony default export */var src_select_dropdownvue_type_script_lang_js_=select_dropdownvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/select/src/select-dropdown.vue\n/* normalize component */var select_dropdown_component=normalizeComponent(src_select_dropdownvue_type_script_lang_js_,select_dropdownvue_type_template_id_06828748_render,select_dropdownvue_type_template_id_06828748_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var select_dropdown_api; }select_dropdown_component.options.__file=\"packages/select/src/select-dropdown.vue\";/* harmony default export */var select_dropdown=select_dropdown_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/option.vue?vue&type=template&id=7a44c642&\nvar optionvue_type_template_id_7a44c642_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"li\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-select-dropdown__item\",class:{selected:_vm.itemSelected,\"is-disabled\":_vm.disabled||_vm.groupDisabled||_vm.limitReached,hover:_vm.hover},on:{mouseenter:_vm.hoverItem,click:function($event){$event.stopPropagation();return _vm.selectOptionClick($event);}}},[_vm._t(\"default\",[_c(\"span\",[_vm._v(_vm._s(_vm.currentLabel))])])],2);};var optionvue_type_template_id_7a44c642_staticRenderFns=[];optionvue_type_template_id_7a44c642_render._withStripped=true;// CONCATENATED MODULE: ./packages/select/src/option.vue?vue&type=template&id=7a44c642&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/option.vue?vue&type=script&lang=js&\nvar _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(obj){return typeof obj;}:function(obj){return obj&&typeof Symbol===\"function\"&&obj.constructor===Symbol&&obj!==Symbol.prototype?\"symbol\":typeof obj;};//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var optionvue_type_script_lang_js_={mixins:[emitter_default.a],name:'ElOption',componentName:'ElOption',inject:['select'],props:{value:{required:true},label:[String,Number],created:Boolean,disabled:{type:Boolean,default:false}},data:function data(){return{index:-1,groupDisabled:false,visible:true,hitState:false,hover:false};},computed:{isObject:function isObject(){return Object.prototype.toString.call(this.value).toLowerCase()==='[object object]';},currentLabel:function currentLabel(){return this.label||(this.isObject?'':this.value);},currentValue:function currentValue(){return this.value||this.label||'';},itemSelected:function itemSelected(){if(!this.select.multiple){return this.isEqual(this.value,this.select.value);}else{return this.contains(this.select.value,this.value);}},limitReached:function limitReached(){if(this.select.multiple){return!this.itemSelected&&(this.select.value||[]).length>=this.select.multipleLimit&&this.select.multipleLimit>0;}else{return false;}}},watch:{currentLabel:function currentLabel(){if(!this.created&&!this.select.remote)this.dispatch('ElSelect','setSelected');},value:function value(val,oldVal){var _select=this.select,remote=_select.remote,valueKey=_select.valueKey;if(!this.created&&!remote){if(valueKey&&(typeof val==='undefined'?'undefined':_typeof(val))==='object'&&(typeof oldVal==='undefined'?'undefined':_typeof(oldVal))==='object'&&val[valueKey]===oldVal[valueKey]){return;}this.dispatch('ElSelect','setSelected');}}},methods:{isEqual:function isEqual(a,b){if(!this.isObject){return a===b;}else{var valueKey=this.select.valueKey;return Object(util_[\"getValueByPath\"])(a,valueKey)===Object(util_[\"getValueByPath\"])(b,valueKey);}},contains:function contains(){var arr=arguments.length>0&&arguments[0]!==undefined?arguments[0]:[];var target=arguments[1];if(!this.isObject){return arr&&arr.indexOf(target)>-1;}else{var valueKey=this.select.valueKey;return arr&&arr.some(function(item){return Object(util_[\"getValueByPath\"])(item,valueKey)===Object(util_[\"getValueByPath\"])(target,valueKey);});}},handleGroupDisabled:function handleGroupDisabled(val){this.groupDisabled=val;},hoverItem:function hoverItem(){if(!this.disabled&&!this.groupDisabled){this.select.hoverIndex=this.select.options.indexOf(this);}},selectOptionClick:function selectOptionClick(){if(this.disabled!==true&&this.groupDisabled!==true){this.dispatch('ElSelect','handleOptionClick',[this,true]);}},queryChange:function queryChange(query){this.visible=new RegExp(Object(util_[\"escapeRegexpString\"])(query),'i').test(this.currentLabel)||this.created;if(!this.visible){this.select.filteredOptionsCount--;}}},created:function created(){this.select.options.push(this);this.select.cachedOptions.push(this);this.select.optionsCount++;this.select.filteredOptionsCount++;this.$on('queryChange',this.queryChange);this.$on('handleGroupDisabled',this.handleGroupDisabled);},beforeDestroy:function beforeDestroy(){var _select2=this.select,selected=_select2.selected,multiple=_select2.multiple;var selectedOptions=multiple?selected:[selected];var index=this.select.cachedOptions.indexOf(this);var selectedIndex=selectedOptions.indexOf(this);// if option is not selected, remove it from cache\nif(index>-1&&selectedIndex<0){this.select.cachedOptions.splice(index,1);}this.select.onOptionDestroy(this.select.options.indexOf(this));}};// CONCATENATED MODULE: ./packages/select/src/option.vue?vue&type=script&lang=js&\n/* harmony default export */var src_optionvue_type_script_lang_js_=optionvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/select/src/option.vue\n/* normalize component */var option_component=normalizeComponent(src_optionvue_type_script_lang_js_,optionvue_type_template_id_7a44c642_render,optionvue_type_template_id_7a44c642_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var option_api; }option_component.options.__file=\"packages/select/src/option.vue\";/* harmony default export */var src_option=option_component.exports;// EXTERNAL MODULE: external \"element-ui/lib/tag\"\nvar tag_=__nested_webpack_require_8056__(30);var tag_default=/*#__PURE__*/__nested_webpack_require_8056__.n(tag_);// EXTERNAL MODULE: external \"element-ui/lib/utils/resize-event\"\nvar resize_event_=__nested_webpack_require_8056__(15);// EXTERNAL MODULE: external \"element-ui/lib/utils/scroll-into-view\"\nvar scroll_into_view_=__nested_webpack_require_8056__(27);var scroll_into_view_default=/*#__PURE__*/__nested_webpack_require_8056__.n(scroll_into_view_);// CONCATENATED MODULE: ./packages/select/src/navigation-mixin.js\n/* harmony default export */var navigation_mixin={data:function data(){return{hoverOption:-1};},computed:{optionsAllDisabled:function optionsAllDisabled(){return this.options.filter(function(option){return option.visible;}).every(function(option){return option.disabled;});}},watch:{hoverIndex:function hoverIndex(val){var _this=this;if(typeof val==='number'&&val>-1){this.hoverOption=this.options[val]||{};}this.options.forEach(function(option){option.hover=_this.hoverOption===option;});}},methods:{navigateOptions:function navigateOptions(direction){var _this2=this;if(!this.visible){this.visible=true;return;}if(this.options.length===0||this.filteredOptionsCount===0)return;if(!this.optionsAllDisabled){if(direction==='next'){this.hoverIndex++;if(this.hoverIndex===this.options.length){this.hoverIndex=0;}}else if(direction==='prev'){this.hoverIndex--;if(this.hoverIndex<0){this.hoverIndex=this.options.length-1;}}var option=this.options[this.hoverIndex];if(option.disabled===true||option.groupDisabled===true||!option.visible){this.navigateOptions(direction);}this.$nextTick(function(){return _this2.scrollToOption(_this2.hoverOption);});}}}};// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/select.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var selectvue_type_script_lang_js_={mixins:[emitter_default.a,locale_default.a,focus_default()('reference'),navigation_mixin],name:'ElSelect',componentName:'ElSelect',inject:{elForm:{default:''},elFormItem:{default:''}},provide:function provide(){return{'select':this};},computed:{_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},readonly:function readonly(){return!this.filterable||this.multiple||!Object(util_[\"isIE\"])()&&!Object(util_[\"isEdge\"])()&&!this.visible;},showClose:function showClose(){var hasValue=this.multiple?Array.isArray(this.value)&&this.value.length>0:this.value!==undefined&&this.value!==null&&this.value!=='';var criteria=this.clearable&&!this.selectDisabled&&this.inputHovering&&hasValue;return criteria;},iconClass:function iconClass(){return this.remote&&this.filterable?'':this.visible?'arrow-up is-reverse':'arrow-up';},debounce:function debounce(){return this.remote?300:0;},emptyText:function emptyText(){if(this.loading){return this.loadingText||this.t('el.select.loading');}else{if(this.remote&&this.query===''&&this.options.length===0)return false;if(this.filterable&&this.query&&this.options.length>0&&this.filteredOptionsCount===0){return this.noMatchText||this.t('el.select.noMatch');}if(this.options.length===0){return this.noDataText||this.t('el.select.noData');}}return null;},showNewOption:function showNewOption(){var _this=this;var hasExistingOption=this.options.filter(function(option){return!option.created;}).some(function(option){return option.currentLabel===_this.query;});return this.filterable&&this.allowCreate&&this.query!==''&&!hasExistingOption;},selectSize:function selectSize(){return this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;},selectDisabled:function selectDisabled(){return this.disabled||(this.elForm||{}).disabled;},collapseTagSize:function collapseTagSize(){return['small','mini'].indexOf(this.selectSize)>-1?'mini':'small';},propPlaceholder:function propPlaceholder(){return typeof this.placeholder!=='undefined'?this.placeholder:this.t('el.select.placeholder');}},components:{ElInput:input_default.a,ElSelectMenu:select_dropdown,ElOption:src_option,ElTag:tag_default.a,ElScrollbar:scrollbar_default.a},directives:{Clickoutside:clickoutside_default.a},props:{name:String,id:String,value:{required:true},autocomplete:{type:String,default:'off'},/** @Deprecated in next major version */autoComplete:{type:String,validator:function validator(val){ false&&0;return true;}},automaticDropdown:Boolean,size:String,disabled:Boolean,clearable:Boolean,filterable:Boolean,allowCreate:Boolean,loading:Boolean,popperClass:String,remote:Boolean,loadingText:String,noMatchText:String,noDataText:String,remoteMethod:Function,filterMethod:Function,multiple:Boolean,multipleLimit:{type:Number,default:0},placeholder:{type:String,required:false},defaultFirstOption:Boolean,reserveKeyword:Boolean,valueKey:{type:String,default:'value'},collapseTags:Boolean,popperAppendToBody:{type:Boolean,default:true}},data:function data(){return{options:[],cachedOptions:[],createdLabel:null,createdSelected:false,selected:this.multiple?[]:{},inputLength:20,inputWidth:0,initialInputHeight:0,cachedPlaceHolder:'',optionsCount:0,filteredOptionsCount:0,visible:false,softFocus:false,selectedLabel:'',hoverIndex:-1,query:'',previousQuery:null,inputHovering:false,currentPlaceholder:'',menuVisibleOnFocus:false,isOnComposition:false,isSilentBlur:false};},watch:{selectDisabled:function selectDisabled(){var _this2=this;this.$nextTick(function(){_this2.resetInputHeight();});},propPlaceholder:function propPlaceholder(val){this.cachedPlaceHolder=this.currentPlaceholder=val;},value:function value(val,oldVal){if(this.multiple){this.resetInputHeight();if(val&&val.length>0||this.$refs.input&&this.query!==''){this.currentPlaceholder='';}else{this.currentPlaceholder=this.cachedPlaceHolder;}if(this.filterable&&!this.reserveKeyword){this.query='';this.handleQueryChange(this.query);}}this.setSelected();if(this.filterable&&!this.multiple){this.inputLength=20;}if(!Object(util_[\"valueEquals\"])(val,oldVal)){this.dispatch('ElFormItem','el.form.change',val);}},visible:function visible(val){var _this3=this;if(!val){this.broadcast('ElSelectDropdown','destroyPopper');if(this.$refs.input){this.$refs.input.blur();}this.query='';this.previousQuery=null;this.selectedLabel='';this.inputLength=20;this.menuVisibleOnFocus=false;this.resetHoverIndex();this.$nextTick(function(){if(_this3.$refs.input&&_this3.$refs.input.value===''&&_this3.selected.length===0){_this3.currentPlaceholder=_this3.cachedPlaceHolder;}});if(!this.multiple){if(this.selected){if(this.filterable&&this.allowCreate&&this.createdSelected&&this.createdLabel){this.selectedLabel=this.createdLabel;}else{this.selectedLabel=this.selected.currentLabel;}if(this.filterable)this.query=this.selectedLabel;}if(this.filterable){this.currentPlaceholder=this.cachedPlaceHolder;}}}else{this.broadcast('ElSelectDropdown','updatePopper');if(this.filterable){this.query=this.remote?'':this.selectedLabel;this.handleQueryChange(this.query);if(this.multiple){this.$refs.input.focus();}else{if(!this.remote){this.broadcast('ElOption','queryChange','');this.broadcast('ElOptionGroup','queryChange');}if(this.selectedLabel){this.currentPlaceholder=this.selectedLabel;this.selectedLabel='';}}}}this.$emit('visible-change',val);},options:function options(){var _this4=this;if(this.$isServer)return;this.$nextTick(function(){_this4.broadcast('ElSelectDropdown','updatePopper');});if(this.multiple){this.resetInputHeight();}var inputs=this.$el.querySelectorAll('input');if([].indexOf.call(inputs,document.activeElement)===-1){this.setSelected();}if(this.defaultFirstOption&&(this.filterable||this.remote)&&this.filteredOptionsCount){this.checkDefaultFirstOption();}}},methods:{handleNavigate:function handleNavigate(direction){if(this.isOnComposition)return;this.navigateOptions(direction);},handleComposition:function handleComposition(event){var _this5=this;var text=event.target.value;if(event.type==='compositionend'){this.isOnComposition=false;this.$nextTick(function(_){return _this5.handleQueryChange(text);});}else{var lastCharacter=text[text.length-1]||'';this.isOnComposition=!Object(shared_[\"isKorean\"])(lastCharacter);}},handleQueryChange:function handleQueryChange(val){var _this6=this;if(this.previousQuery===val||this.isOnComposition)return;if(this.previousQuery===null&&(typeof this.filterMethod==='function'||typeof this.remoteMethod==='function')){this.previousQuery=val;return;}this.previousQuery=val;this.$nextTick(function(){if(_this6.visible)_this6.broadcast('ElSelectDropdown','updatePopper');});this.hoverIndex=-1;if(this.multiple&&this.filterable){this.$nextTick(function(){var length=_this6.$refs.input.value.length*15+20;_this6.inputLength=_this6.collapseTags?Math.min(50,length):length;_this6.managePlaceholder();_this6.resetInputHeight();});}if(this.remote&&typeof this.remoteMethod==='function'){this.hoverIndex=-1;this.remoteMethod(val);}else if(typeof this.filterMethod==='function'){this.filterMethod(val);this.broadcast('ElOptionGroup','queryChange');}else{this.filteredOptionsCount=this.optionsCount;this.broadcast('ElOption','queryChange',val);this.broadcast('ElOptionGroup','queryChange');}if(this.defaultFirstOption&&(this.filterable||this.remote)&&this.filteredOptionsCount){this.checkDefaultFirstOption();}},scrollToOption:function scrollToOption(option){var target=Array.isArray(option)&&option[0]?option[0].$el:option.$el;if(this.$refs.popper&&target){var menu=this.$refs.popper.$el.querySelector('.el-select-dropdown__wrap');scroll_into_view_default()(menu,target);}this.$refs.scrollbar&&this.$refs.scrollbar.handleScroll();},handleMenuEnter:function handleMenuEnter(){var _this7=this;this.$nextTick(function(){return _this7.scrollToOption(_this7.selected);});},emitChange:function emitChange(val){if(!Object(util_[\"valueEquals\"])(this.value,val)){this.$emit('change',val);}},getOption:function getOption(value){var option=void 0;var isObject=Object.prototype.toString.call(value).toLowerCase()==='[object object]';var isNull=Object.prototype.toString.call(value).toLowerCase()==='[object null]';var isUndefined=Object.prototype.toString.call(value).toLowerCase()==='[object undefined]';for(var i=this.cachedOptions.length-1;i>=0;i--){var cachedOption=this.cachedOptions[i];var isEqual=isObject?Object(util_[\"getValueByPath\"])(cachedOption.value,this.valueKey)===Object(util_[\"getValueByPath\"])(value,this.valueKey):cachedOption.value===value;if(isEqual){option=cachedOption;break;}}if(option)return option;var label=!isObject&&!isNull&&!isUndefined?String(value):'';var newOption={value:value,currentLabel:label};if(this.multiple){newOption.hitState=false;}return newOption;},setSelected:function setSelected(){var _this8=this;if(!this.multiple){var option=this.getOption(this.value);if(option.created){this.createdLabel=option.currentLabel;this.createdSelected=true;}else{this.createdSelected=false;}this.selectedLabel=option.currentLabel;this.selected=option;if(this.filterable)this.query=this.selectedLabel;return;}var result=[];if(Array.isArray(this.value)){this.value.forEach(function(value){result.push(_this8.getOption(value));});}this.selected=result;this.$nextTick(function(){_this8.resetInputHeight();});},handleFocus:function handleFocus(event){if(!this.softFocus){if(this.automaticDropdown||this.filterable){if(this.filterable&&!this.visible){this.menuVisibleOnFocus=true;}this.visible=true;}this.$emit('focus',event);}else{this.softFocus=false;}},blur:function blur(){this.visible=false;this.$refs.reference.blur();},handleBlur:function handleBlur(event){var _this9=this;setTimeout(function(){if(_this9.isSilentBlur){_this9.isSilentBlur=false;}else{_this9.$emit('blur',event);}},50);this.softFocus=false;},handleClearClick:function handleClearClick(event){this.deleteSelected(event);},doDestroy:function doDestroy(){this.$refs.popper&&this.$refs.popper.doDestroy();},handleClose:function handleClose(){this.visible=false;},toggleLastOptionHitState:function toggleLastOptionHitState(hit){if(!Array.isArray(this.selected))return;var option=this.selected[this.selected.length-1];if(!option)return;if(hit===true||hit===false){option.hitState=hit;return hit;}option.hitState=!option.hitState;return option.hitState;},deletePrevTag:function deletePrevTag(e){if(e.target.value.length<=0&&!this.toggleLastOptionHitState()){var value=this.value.slice();value.pop();this.$emit('input',value);this.emitChange(value);}},managePlaceholder:function managePlaceholder(){if(this.currentPlaceholder!==''){this.currentPlaceholder=this.$refs.input.value?'':this.cachedPlaceHolder;}},resetInputState:function resetInputState(e){if(e.keyCode!==8)this.toggleLastOptionHitState(false);this.inputLength=this.$refs.input.value.length*15+20;this.resetInputHeight();},resetInputHeight:function resetInputHeight(){var _this10=this;if(this.collapseTags&&!this.filterable)return;this.$nextTick(function(){if(!_this10.$refs.reference)return;var inputChildNodes=_this10.$refs.reference.$el.childNodes;var input=[].filter.call(inputChildNodes,function(item){return item.tagName==='INPUT';})[0];var tags=_this10.$refs.tags;var tagsHeight=tags?Math.round(tags.getBoundingClientRect().height):0;var sizeInMap=_this10.initialInputHeight||40;input.style.height=_this10.selected.length===0?sizeInMap+'px':Math.max(tags?tagsHeight+(tagsHeight>sizeInMap?6:0):0,sizeInMap)+'px';if(_this10.visible&&_this10.emptyText!==false){_this10.broadcast('ElSelectDropdown','updatePopper');}});},resetHoverIndex:function resetHoverIndex(){var _this11=this;setTimeout(function(){if(!_this11.multiple){_this11.hoverIndex=_this11.options.indexOf(_this11.selected);}else{if(_this11.selected.length>0){_this11.hoverIndex=Math.min.apply(null,_this11.selected.map(function(item){return _this11.options.indexOf(item);}));}else{_this11.hoverIndex=-1;}}},300);},handleOptionSelect:function handleOptionSelect(option,byClick){var _this12=this;if(this.multiple){var value=(this.value||[]).slice();var optionIndex=this.getValueIndex(value,option.value);if(optionIndex>-1){value.splice(optionIndex,1);}else if(this.multipleLimit<=0||value.length<this.multipleLimit){value.push(option.value);}this.$emit('input',value);this.emitChange(value);if(option.created){this.query='';this.handleQueryChange('');this.inputLength=20;}if(this.filterable)this.$refs.input.focus();}else{this.$emit('input',option.value);this.emitChange(option.value);this.visible=false;}this.isSilentBlur=byClick;this.setSoftFocus();if(this.visible)return;this.$nextTick(function(){_this12.scrollToOption(option);});},setSoftFocus:function setSoftFocus(){this.softFocus=true;var input=this.$refs.input||this.$refs.reference;if(input){input.focus();}},getValueIndex:function getValueIndex(){var arr=arguments.length>0&&arguments[0]!==undefined?arguments[0]:[];var value=arguments[1];var isObject=Object.prototype.toString.call(value).toLowerCase()==='[object object]';if(!isObject){return arr.indexOf(value);}else{var valueKey=this.valueKey;var index=-1;arr.some(function(item,i){if(Object(util_[\"getValueByPath\"])(item,valueKey)===Object(util_[\"getValueByPath\"])(value,valueKey)){index=i;return true;}return false;});return index;}},toggleMenu:function toggleMenu(){if(!this.selectDisabled){if(this.menuVisibleOnFocus){this.menuVisibleOnFocus=false;}else{this.visible=!this.visible;}if(this.visible){(this.$refs.input||this.$refs.reference).focus();}}},selectOption:function selectOption(){if(!this.visible){this.toggleMenu();}else{if(this.options[this.hoverIndex]){this.handleOptionSelect(this.options[this.hoverIndex]);}}},deleteSelected:function deleteSelected(event){event.stopPropagation();var value=this.multiple?[]:'';this.$emit('input',value);this.emitChange(value);this.visible=false;this.$emit('clear');},deleteTag:function deleteTag(event,tag){var index=this.selected.indexOf(tag);if(index>-1&&!this.selectDisabled){var value=this.value.slice();value.splice(index,1);this.$emit('input',value);this.emitChange(value);this.$emit('remove-tag',tag.value);}event.stopPropagation();},onInputChange:function onInputChange(){if(this.filterable&&this.query!==this.selectedLabel){this.query=this.selectedLabel;this.handleQueryChange(this.query);}},onOptionDestroy:function onOptionDestroy(index){if(index>-1){this.optionsCount--;this.filteredOptionsCount--;this.options.splice(index,1);}},resetInputWidth:function resetInputWidth(){this.inputWidth=this.$refs.reference.$el.getBoundingClientRect().width;},handleResize:function handleResize(){this.resetInputWidth();if(this.multiple)this.resetInputHeight();},checkDefaultFirstOption:function checkDefaultFirstOption(){this.hoverIndex=-1;// highlight the created option\nvar hasCreated=false;for(var i=this.options.length-1;i>=0;i--){if(this.options[i].created){hasCreated=true;this.hoverIndex=i;break;}}if(hasCreated)return;for(var _i=0;_i!==this.options.length;++_i){var option=this.options[_i];if(this.query){// highlight first options that passes the filter\nif(!option.disabled&&!option.groupDisabled&&option.visible){this.hoverIndex=_i;break;}}else{// highlight currently selected option\nif(option.itemSelected){this.hoverIndex=_i;break;}}}},getValueKey:function getValueKey(item){if(Object.prototype.toString.call(item.value).toLowerCase()!=='[object object]'){return item.value;}else{return Object(util_[\"getValueByPath\"])(item.value,this.valueKey);}}},created:function created(){var _this13=this;this.cachedPlaceHolder=this.currentPlaceholder=this.propPlaceholder;if(this.multiple&&!Array.isArray(this.value)){this.$emit('input',[]);}if(!this.multiple&&Array.isArray(this.value)){this.$emit('input','');}this.debouncedOnInputChange=debounce_default()(this.debounce,function(){_this13.onInputChange();});this.debouncedQueryChange=debounce_default()(this.debounce,function(e){_this13.handleQueryChange(e.target.value);});this.$on('handleOptionClick',this.handleOptionSelect);this.$on('setSelected',this.setSelected);},mounted:function mounted(){var _this14=this;if(this.multiple&&Array.isArray(this.value)&&this.value.length>0){this.currentPlaceholder='';}Object(resize_event_[\"addResizeListener\"])(this.$el,this.handleResize);var reference=this.$refs.reference;if(reference&&reference.$el){var sizeMap={medium:36,small:32,mini:28};var input=reference.$el.querySelector('input');this.initialInputHeight=input.getBoundingClientRect().height||sizeMap[this.selectSize];}if(this.remote&&this.multiple){this.resetInputHeight();}this.$nextTick(function(){if(reference&&reference.$el){_this14.inputWidth=reference.$el.getBoundingClientRect().width;}});this.setSelected();},beforeDestroy:function beforeDestroy(){if(this.$el&&this.handleResize)Object(resize_event_[\"removeResizeListener\"])(this.$el,this.handleResize);}};// CONCATENATED MODULE: ./packages/select/src/select.vue?vue&type=script&lang=js&\n/* harmony default export */var src_selectvue_type_script_lang_js_=selectvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/select/src/select.vue\n/* normalize component */var select_component=normalizeComponent(src_selectvue_type_script_lang_js_,selectvue_type_template_id_0e4aade6_render,selectvue_type_template_id_0e4aade6_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var select_api; }select_component.options.__file=\"packages/select/src/select.vue\";/* harmony default export */var src_select=select_component.exports;// CONCATENATED MODULE: ./packages/select/index.js\n/* istanbul ignore next */src_select.install=function(Vue){Vue.component(src_select.name,src_select);};/* harmony default export */var packages_select=src_select;// CONCATENATED MODULE: ./packages/option/index.js\n/* istanbul ignore next */src_option.install=function(Vue){Vue.component(src_option.name,src_option);};/* harmony default export */var packages_option=src_option;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/option-group.vue?vue&type=template&id=6685e5de&\nvar option_groupvue_type_template_id_6685e5de_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"ul\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-select-group__wrap\"},[_c(\"li\",{staticClass:\"el-select-group__title\"},[_vm._v(_vm._s(_vm.label))]),_c(\"li\",[_c(\"ul\",{staticClass:\"el-select-group\"},[_vm._t(\"default\")],2)])]);};var option_groupvue_type_template_id_6685e5de_staticRenderFns=[];option_groupvue_type_template_id_6685e5de_render._withStripped=true;// CONCATENATED MODULE: ./packages/select/src/option-group.vue?vue&type=template&id=6685e5de&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/option-group.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var option_groupvue_type_script_lang_js_={mixins:[emitter_default.a],name:'ElOptionGroup',componentName:'ElOptionGroup',props:{label:String,disabled:{type:Boolean,default:false}},data:function data(){return{visible:true};},watch:{disabled:function disabled(val){this.broadcast('ElOption','handleGroupDisabled',val);}},methods:{queryChange:function queryChange(){this.visible=this.$children&&Array.isArray(this.$children)&&this.$children.some(function(option){return option.visible===true;});}},created:function created(){this.$on('queryChange',this.queryChange);},mounted:function mounted(){if(this.disabled){this.broadcast('ElOption','handleGroupDisabled',this.disabled);}}};// CONCATENATED MODULE: ./packages/select/src/option-group.vue?vue&type=script&lang=js&\n/* harmony default export */var src_option_groupvue_type_script_lang_js_=option_groupvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/select/src/option-group.vue\n/* normalize component */var option_group_component=normalizeComponent(src_option_groupvue_type_script_lang_js_,option_groupvue_type_template_id_6685e5de_render,option_groupvue_type_template_id_6685e5de_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var option_group_api; }option_group_component.options.__file=\"packages/select/src/option-group.vue\";/* harmony default export */var option_group=option_group_component.exports;// CONCATENATED MODULE: ./packages/option-group/index.js\n/* istanbul ignore next */option_group.install=function(Vue){Vue.component(option_group.name,option_group);};/* harmony default export */var packages_option_group=option_group;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/button/src/button.vue?vue&type=template&id=ca859fb4&\nvar buttonvue_type_template_id_ca859fb4_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"button\",{staticClass:\"el-button\",class:[_vm.type?\"el-button--\"+_vm.type:\"\",_vm.buttonSize?\"el-button--\"+_vm.buttonSize:\"\",{\"is-disabled\":_vm.buttonDisabled,\"is-loading\":_vm.loading,\"is-plain\":_vm.plain,\"is-round\":_vm.round,\"is-circle\":_vm.circle}],attrs:{disabled:_vm.buttonDisabled||_vm.loading,autofocus:_vm.autofocus,type:_vm.nativeType},on:{click:_vm.handleClick}},[_vm.loading?_c(\"i\",{staticClass:\"el-icon-loading\"}):_vm._e(),_vm.icon&&!_vm.loading?_c(\"i\",{class:_vm.icon}):_vm._e(),_vm.$slots.default?_c(\"span\",[_vm._t(\"default\")],2):_vm._e()]);};var buttonvue_type_template_id_ca859fb4_staticRenderFns=[];buttonvue_type_template_id_ca859fb4_render._withStripped=true;// CONCATENATED MODULE: ./packages/button/src/button.vue?vue&type=template&id=ca859fb4&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/button/src/button.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var buttonvue_type_script_lang_js_={name:'ElButton',inject:{elForm:{default:''},elFormItem:{default:''}},props:{type:{type:String,default:'default'},size:String,icon:{type:String,default:''},nativeType:{type:String,default:'button'},loading:Boolean,disabled:Boolean,plain:Boolean,autofocus:Boolean,round:Boolean,circle:Boolean},computed:{_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},buttonSize:function buttonSize(){return this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;},buttonDisabled:function buttonDisabled(){return this.$options.propsData.hasOwnProperty('disabled')?this.disabled:(this.elForm||{}).disabled;}},methods:{handleClick:function handleClick(evt){this.$emit('click',evt);}}};// CONCATENATED MODULE: ./packages/button/src/button.vue?vue&type=script&lang=js&\n/* harmony default export */var src_buttonvue_type_script_lang_js_=buttonvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/button/src/button.vue\n/* normalize component */var button_component=normalizeComponent(src_buttonvue_type_script_lang_js_,buttonvue_type_template_id_ca859fb4_render,buttonvue_type_template_id_ca859fb4_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var button_api; }button_component.options.__file=\"packages/button/src/button.vue\";/* harmony default export */var src_button=button_component.exports;// CONCATENATED MODULE: ./packages/button/index.js\n/* istanbul ignore next */src_button.install=function(Vue){Vue.component(src_button.name,src_button);};/* harmony default export */var packages_button=src_button;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/button/src/button-group.vue?vue&type=template&id=3d8661d0&\nvar button_groupvue_type_template_id_3d8661d0_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-button-group\"},[_vm._t(\"default\")],2);};var button_groupvue_type_template_id_3d8661d0_staticRenderFns=[];button_groupvue_type_template_id_3d8661d0_render._withStripped=true;// CONCATENATED MODULE: ./packages/button/src/button-group.vue?vue&type=template&id=3d8661d0&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/button/src/button-group.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n/* harmony default export */var button_groupvue_type_script_lang_js_={name:'ElButtonGroup'};// CONCATENATED MODULE: ./packages/button/src/button-group.vue?vue&type=script&lang=js&\n/* harmony default export */var src_button_groupvue_type_script_lang_js_=button_groupvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/button/src/button-group.vue\n/* normalize component */var button_group_component=normalizeComponent(src_button_groupvue_type_script_lang_js_,button_groupvue_type_template_id_3d8661d0_render,button_groupvue_type_template_id_3d8661d0_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var button_group_api; }button_group_component.options.__file=\"packages/button/src/button-group.vue\";/* harmony default export */var button_group=button_group_component.exports;// CONCATENATED MODULE: ./packages/button-group/index.js\n/* istanbul ignore next */button_group.install=function(Vue){Vue.component(button_group.name,button_group);};/* harmony default export */var packages_button_group=button_group;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/table/src/table.vue?vue&type=template&id=493fe34e&\nvar tablevue_type_template_id_493fe34e_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-table\",class:[{\"el-table--fit\":_vm.fit,\"el-table--striped\":_vm.stripe,\"el-table--border\":_vm.border||_vm.isGroup,\"el-table--hidden\":_vm.isHidden,\"el-table--group\":_vm.isGroup,\"el-table--fluid-height\":_vm.maxHeight,\"el-table--scrollable-x\":_vm.layout.scrollX,\"el-table--scrollable-y\":_vm.layout.scrollY,\"el-table--enable-row-hover\":!_vm.store.states.isComplex,\"el-table--enable-row-transition\":(_vm.store.states.data||[]).length!==0&&(_vm.store.states.data||[]).length<100},_vm.tableSize?\"el-table--\"+_vm.tableSize:\"\"],on:{mouseleave:function($event){_vm.handleMouseLeave($event);}}},[_c(\"div\",{ref:\"hiddenColumns\",staticClass:\"hidden-columns\"},[_vm._t(\"default\")],2),_vm.showHeader?_c(\"div\",{directives:[{name:\"mousewheel\",rawName:\"v-mousewheel\",value:_vm.handleHeaderFooterMousewheel,expression:\"handleHeaderFooterMousewheel\"}],ref:\"headerWrapper\",staticClass:\"el-table__header-wrapper\"},[_c(\"table-header\",{ref:\"tableHeader\",style:{width:_vm.layout.bodyWidth?_vm.layout.bodyWidth+\"px\":\"\"},attrs:{store:_vm.store,border:_vm.border,\"default-sort\":_vm.defaultSort}})],1):_vm._e(),_c(\"div\",{ref:\"bodyWrapper\",staticClass:\"el-table__body-wrapper\",class:[_vm.layout.scrollX?\"is-scrolling-\"+_vm.scrollPosition:\"is-scrolling-none\"],style:[_vm.bodyHeight]},[_c(\"table-body\",{style:{width:_vm.bodyWidth},attrs:{context:_vm.context,store:_vm.store,stripe:_vm.stripe,\"row-class-name\":_vm.rowClassName,\"row-style\":_vm.rowStyle,highlight:_vm.highlightCurrentRow}}),!_vm.data||_vm.data.length===0?_c(\"div\",{ref:\"emptyBlock\",staticClass:\"el-table__empty-block\",style:_vm.emptyBlockStyle},[_c(\"span\",{staticClass:\"el-table__empty-text\"},[_vm._t(\"empty\",[_vm._v(_vm._s(_vm.emptyText||_vm.t(\"el.table.emptyText\")))])],2)]):_vm._e(),_vm.$slots.append?_c(\"div\",{ref:\"appendWrapper\",staticClass:\"el-table__append-wrapper\"},[_vm._t(\"append\")],2):_vm._e()],1),_vm.showSummary?_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.data&&_vm.data.length>0,expression:\"data && data.length > 0\"},{name:\"mousewheel\",rawName:\"v-mousewheel\",value:_vm.handleHeaderFooterMousewheel,expression:\"handleHeaderFooterMousewheel\"}],ref:\"footerWrapper\",staticClass:\"el-table__footer-wrapper\"},[_c(\"table-footer\",{style:{width:_vm.layout.bodyWidth?_vm.layout.bodyWidth+\"px\":\"\"},attrs:{store:_vm.store,border:_vm.border,\"sum-text\":_vm.sumText||_vm.t(\"el.table.sumText\"),\"summary-method\":_vm.summaryMethod,\"default-sort\":_vm.defaultSort}})],1):_vm._e(),_vm.fixedColumns.length>0?_c(\"div\",{directives:[{name:\"mousewheel\",rawName:\"v-mousewheel\",value:_vm.handleFixedMousewheel,expression:\"handleFixedMousewheel\"}],ref:\"fixedWrapper\",staticClass:\"el-table__fixed\",style:[{width:_vm.layout.fixedWidth?_vm.layout.fixedWidth+\"px\":\"\"},_vm.fixedHeight]},[_vm.showHeader?_c(\"div\",{ref:\"fixedHeaderWrapper\",staticClass:\"el-table__fixed-header-wrapper\"},[_c(\"table-header\",{ref:\"fixedTableHeader\",style:{width:_vm.bodyWidth},attrs:{fixed:\"left\",border:_vm.border,store:_vm.store}})],1):_vm._e(),_c(\"div\",{ref:\"fixedBodyWrapper\",staticClass:\"el-table__fixed-body-wrapper\",style:[{top:_vm.layout.headerHeight+\"px\"},_vm.fixedBodyHeight]},[_c(\"table-body\",{style:{width:_vm.bodyWidth},attrs:{fixed:\"left\",store:_vm.store,stripe:_vm.stripe,highlight:_vm.highlightCurrentRow,\"row-class-name\":_vm.rowClassName,\"row-style\":_vm.rowStyle}}),_vm.$slots.append?_c(\"div\",{staticClass:\"el-table__append-gutter\",style:{height:_vm.layout.appendHeight+\"px\"}}):_vm._e()],1),_vm.showSummary?_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.data&&_vm.data.length>0,expression:\"data && data.length > 0\"}],ref:\"fixedFooterWrapper\",staticClass:\"el-table__fixed-footer-wrapper\"},[_c(\"table-footer\",{style:{width:_vm.bodyWidth},attrs:{fixed:\"left\",border:_vm.border,\"sum-text\":_vm.sumText||_vm.t(\"el.table.sumText\"),\"summary-method\":_vm.summaryMethod,store:_vm.store}})],1):_vm._e()]):_vm._e(),_vm.rightFixedColumns.length>0?_c(\"div\",{directives:[{name:\"mousewheel\",rawName:\"v-mousewheel\",value:_vm.handleFixedMousewheel,expression:\"handleFixedMousewheel\"}],ref:\"rightFixedWrapper\",staticClass:\"el-table__fixed-right\",style:[{width:_vm.layout.rightFixedWidth?_vm.layout.rightFixedWidth+\"px\":\"\",right:_vm.layout.scrollY?(_vm.border?_vm.layout.gutterWidth:_vm.layout.gutterWidth||0)+\"px\":\"\"},_vm.fixedHeight]},[_vm.showHeader?_c(\"div\",{ref:\"rightFixedHeaderWrapper\",staticClass:\"el-table__fixed-header-wrapper\"},[_c(\"table-header\",{ref:\"rightFixedTableHeader\",style:{width:_vm.bodyWidth},attrs:{fixed:\"right\",border:_vm.border,store:_vm.store}})],1):_vm._e(),_c(\"div\",{ref:\"rightFixedBodyWrapper\",staticClass:\"el-table__fixed-body-wrapper\",style:[{top:_vm.layout.headerHeight+\"px\"},_vm.fixedBodyHeight]},[_c(\"table-body\",{style:{width:_vm.bodyWidth},attrs:{fixed:\"right\",store:_vm.store,stripe:_vm.stripe,\"row-class-name\":_vm.rowClassName,\"row-style\":_vm.rowStyle,highlight:_vm.highlightCurrentRow}}),_vm.$slots.append?_c(\"div\",{staticClass:\"el-table__append-gutter\",style:{height:_vm.layout.appendHeight+\"px\"}}):_vm._e()],1),_vm.showSummary?_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.data&&_vm.data.length>0,expression:\"data && data.length > 0\"}],ref:\"rightFixedFooterWrapper\",staticClass:\"el-table__fixed-footer-wrapper\"},[_c(\"table-footer\",{style:{width:_vm.bodyWidth},attrs:{fixed:\"right\",border:_vm.border,\"sum-text\":_vm.sumText||_vm.t(\"el.table.sumText\"),\"summary-method\":_vm.summaryMethod,store:_vm.store}})],1):_vm._e()]):_vm._e(),_vm.rightFixedColumns.length>0?_c(\"div\",{ref:\"rightFixedPatch\",staticClass:\"el-table__fixed-right-patch\",style:{width:_vm.layout.scrollY?_vm.layout.gutterWidth+\"px\":\"0\",height:_vm.layout.headerHeight+\"px\"}}):_vm._e(),_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.resizeProxyVisible,expression:\"resizeProxyVisible\"}],ref:\"resizeProxy\",staticClass:\"el-table__column-resize-proxy\"})]);};var tablevue_type_template_id_493fe34e_staticRenderFns=[];tablevue_type_template_id_493fe34e_render._withStripped=true;// CONCATENATED MODULE: ./packages/table/src/table.vue?vue&type=template&id=493fe34e&\n// EXTERNAL MODULE: external \"element-ui/lib/checkbox\"\nvar checkbox_=__nested_webpack_require_8056__(14);var checkbox_default=/*#__PURE__*/__nested_webpack_require_8056__.n(checkbox_);// EXTERNAL MODULE: external \"throttle-debounce\"\nvar external_throttle_debounce_=__nested_webpack_require_8056__(36);// EXTERNAL MODULE: external \"normalize-wheel\"\nvar external_normalize_wheel_=__nested_webpack_require_8056__(39);var external_normalize_wheel_default=/*#__PURE__*/__nested_webpack_require_8056__.n(external_normalize_wheel_);// CONCATENATED MODULE: ./src/directives/mousewheel.js\nvar isFirefox=typeof navigator!=='undefined'&&navigator.userAgent.toLowerCase().indexOf('firefox')>-1;var mousewheel_mousewheel=function mousewheel(element,callback){if(element&&element.addEventListener){element.addEventListener(isFirefox?'DOMMouseScroll':'mousewheel',function(event){var normalized=external_normalize_wheel_default()(event);callback&&callback.apply(this,[event,normalized]);});}};/* harmony default export */var directives_mousewheel={bind:function bind(el,binding){mousewheel_mousewheel(el,binding.value);}};// EXTERNAL MODULE: external \"vue\"\nvar external_vue_=__nested_webpack_require_8056__(6);var external_vue_default=/*#__PURE__*/__nested_webpack_require_8056__.n(external_vue_);// CONCATENATED MODULE: ./packages/table/src/util.js\nvar util_typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(obj){return typeof obj;}:function(obj){return obj&&typeof Symbol===\"function\"&&obj.constructor===Symbol&&obj!==Symbol.prototype?\"symbol\":typeof obj;};var getCell=function getCell(event){var cell=event.target;while(cell&&cell.tagName.toUpperCase()!=='HTML'){if(cell.tagName.toUpperCase()==='TD'){return cell;}cell=cell.parentNode;}return null;};var util_isObject=function isObject(obj){return obj!==null&&(typeof obj==='undefined'?'undefined':util_typeof(obj))==='object';};var util_orderBy=function orderBy(array,sortKey,reverse,sortMethod,sortBy){if(!sortKey&&!sortMethod&&(!sortBy||Array.isArray(sortBy)&&!sortBy.length)){return array;}if(typeof reverse==='string'){reverse=reverse==='descending'?-1:1;}else{reverse=reverse&&reverse<0?-1:1;}var getKey=sortMethod?null:function(value,index){if(sortBy){if(!Array.isArray(sortBy)){sortBy=[sortBy];}return sortBy.map(function(by){if(typeof by==='string'){return Object(util_[\"getValueByPath\"])(value,by);}else{return by(value,index,array);}});}if(sortKey!=='$key'){if(util_isObject(value)&&'$value'in value)value=value.$value;}return[util_isObject(value)?Object(util_[\"getValueByPath\"])(value,sortKey):value];};var compare=function compare(a,b){if(sortMethod){return sortMethod(a.value,b.value);}for(var i=0,len=a.key.length;i<len;i++){if(a.key[i]<b.key[i]){return-1;}if(a.key[i]>b.key[i]){return 1;}}return 0;};return array.map(function(value,index){return{value:value,index:index,key:getKey?getKey(value,index):null};}).sort(function(a,b){var order=compare(a,b);if(!order){// make stable https://en.wikipedia.org/wiki/Sorting_algorithm#Stability\norder=a.index-b.index;}return order*reverse;}).map(function(item){return item.value;});};var getColumnById=function getColumnById(table,columnId){var column=null;table.columns.forEach(function(item){if(item.id===columnId){column=item;}});return column;};var getColumnByKey=function getColumnByKey(table,columnKey){var column=null;for(var i=0;i<table.columns.length;i++){var item=table.columns[i];if(item.columnKey===columnKey){column=item;break;}}return column;};var getColumnByCell=function getColumnByCell(table,cell){var matches=(cell.className||'').match(/el-table_[^\\s]+/gm);if(matches){return getColumnById(table,matches[0]);}return null;};var getRowIdentity=function getRowIdentity(row,rowKey){if(!row)throw new Error('row is required when get row identity');if(typeof rowKey==='string'){if(rowKey.indexOf('.')<0){return row[rowKey];}var key=rowKey.split('.');var current=row;for(var i=0;i<key.length;i++){current=current[key[i]];}return current;}else if(typeof rowKey==='function'){return rowKey.call(null,row);}};var getKeysMap=function getKeysMap(array,rowKey){var arrayMap={};(array||[]).forEach(function(row,index){arrayMap[getRowIdentity(row,rowKey)]={row:row,index:index};});return arrayMap;};function hasOwn(obj,key){return Object.prototype.hasOwnProperty.call(obj,key);}function mergeOptions(defaults,config){var options={};var key=void 0;for(key in defaults){options[key]=defaults[key];}for(key in config){if(hasOwn(config,key)){var value=config[key];if(typeof value!=='undefined'){options[key]=value;}}}return options;}function parseWidth(width){if(width!==undefined){width=parseInt(width,10);if(isNaN(width)){width=null;}}return width;}function parseMinWidth(minWidth){if(typeof minWidth!=='undefined'){minWidth=parseWidth(minWidth);if(isNaN(minWidth)){minWidth=80;}}return minWidth;};function parseHeight(height){if(typeof height==='number'){return height;}if(typeof height==='string'){if(/^\\d+(?:px)?$/.test(height)){return parseInt(height,10);}else{return height;}}return null;}// https://github.com/reduxjs/redux/blob/master/src/compose.js\nfunction compose(){for(var _len=arguments.length,funcs=Array(_len),_key=0;_key<_len;_key++){funcs[_key]=arguments[_key];}if(funcs.length===0){return function(arg){return arg;};}if(funcs.length===1){return funcs[0];}return funcs.reduce(function(a,b){return function(){return a(b.apply(undefined,arguments));};});}function toggleRowStatus(statusArr,row,newVal){var changed=false;var index=statusArr.indexOf(row);var included=index!==-1;var addRow=function addRow(){statusArr.push(row);changed=true;};var removeRow=function removeRow(){statusArr.splice(index,1);changed=true;};if(typeof newVal==='boolean'){if(newVal&&!included){addRow();}else if(!newVal&&included){removeRow();}}else{if(included){removeRow();}else{addRow();}}return changed;}function walkTreeNode(root,cb){var childrenKey=arguments.length>2&&arguments[2]!==undefined?arguments[2]:'children';var lazyKey=arguments.length>3&&arguments[3]!==undefined?arguments[3]:'hasChildren';var isNil=function isNil(array){return!(Array.isArray(array)&&array.length);};function _walker(parent,children,level){cb(parent,children,level);children.forEach(function(item){if(item[lazyKey]){cb(item,null,level+1);return;}var children=item[childrenKey];if(!isNil(children)){_walker(item,children,level+1);}});}root.forEach(function(item){if(item[lazyKey]){cb(item,null,0);return;}var children=item[childrenKey];if(!isNil(children)){_walker(item,children,0);}});}// CONCATENATED MODULE: ./packages/table/src/store/expand.js\n/* harmony default export */var expand={data:function data(){return{states:{defaultExpandAll:false,expandRows:[]}};},methods:{updateExpandRows:function updateExpandRows(){var _states=this.states,_states$data=_states.data,data=_states$data===undefined?[]:_states$data,rowKey=_states.rowKey,defaultExpandAll=_states.defaultExpandAll,expandRows=_states.expandRows;if(defaultExpandAll){this.states.expandRows=data.slice();}else if(rowKey){// TODO：这里的代码可以优化\nvar expandRowsMap=getKeysMap(expandRows,rowKey);this.states.expandRows=data.reduce(function(prev,row){var rowId=getRowIdentity(row,rowKey);var rowInfo=expandRowsMap[rowId];if(rowInfo){prev.push(row);}return prev;},[]);}else{this.states.expandRows=[];}},toggleRowExpansion:function toggleRowExpansion(row,expanded){var changed=toggleRowStatus(this.states.expandRows,row,expanded);if(changed){this.table.$emit('expand-change',row,this.states.expandRows.slice());this.scheduleLayout();}},setExpandRowKeys:function setExpandRowKeys(rowKeys){this.assertRowKey();// TODO：这里的代码可以优化\nvar _states2=this.states,data=_states2.data,rowKey=_states2.rowKey;var keysMap=getKeysMap(data,rowKey);this.states.expandRows=rowKeys.reduce(function(prev,cur){var info=keysMap[cur];if(info){prev.push(info.row);}return prev;},[]);},isRowExpanded:function isRowExpanded(row){var _states3=this.states,_states3$expandRows=_states3.expandRows,expandRows=_states3$expandRows===undefined?[]:_states3$expandRows,rowKey=_states3.rowKey;if(rowKey){var expandMap=getKeysMap(expandRows,rowKey);return!!expandMap[getRowIdentity(row,rowKey)];}return expandRows.indexOf(row)!==-1;}}};// CONCATENATED MODULE: ./packages/table/src/store/current.js\n/* harmony default export */var store_current={data:function data(){return{states:{// 不可响应的，设置 currentRowKey 时，data 不一定存在，也许无法算出正确的 currentRow\n// 把该值缓存一下，当用户点击修改 currentRow 时，把该值重置为 null\n_currentRowKey:null,currentRow:null}};},methods:{setCurrentRowKey:function setCurrentRowKey(key){this.assertRowKey();this.states._currentRowKey=key;this.setCurrentRowByKey(key);},restoreCurrentRowKey:function restoreCurrentRowKey(){this.states._currentRowKey=null;},setCurrentRowByKey:function setCurrentRowByKey(key){var states=this.states;var _states$data=states.data,data=_states$data===undefined?[]:_states$data,rowKey=states.rowKey;var currentRow=null;if(rowKey){currentRow=Object(util_[\"arrayFind\"])(data,function(item){return getRowIdentity(item,rowKey)===key;});}states.currentRow=currentRow;},updateCurrentRow:function updateCurrentRow(currentRow){var states=this.states,table=this.table;var oldCurrentRow=states.currentRow;if(currentRow&&currentRow!==oldCurrentRow){states.currentRow=currentRow;table.$emit('current-change',currentRow,oldCurrentRow);return;}if(!currentRow&&oldCurrentRow){states.currentRow=null;table.$emit('current-change',null,oldCurrentRow);}},updateCurrentRowData:function updateCurrentRowData(){var states=this.states,table=this.table;var rowKey=states.rowKey,_currentRowKey=states._currentRowKey;// data 为 null 时，解构时的默认值会被忽略\nvar data=states.data||[];var oldCurrentRow=states.currentRow;// 当 currentRow 不在 data 中时尝试更新数据\nif(data.indexOf(oldCurrentRow)===-1&&oldCurrentRow){if(rowKey){var currentRowKey=getRowIdentity(oldCurrentRow,rowKey);this.setCurrentRowByKey(currentRowKey);}else{states.currentRow=null;}if(states.currentRow===null){table.$emit('current-change',null,oldCurrentRow);}}else if(_currentRowKey){// 把初始时下设置的 rowKey 转化成 rowData\nthis.setCurrentRowByKey(_currentRowKey);this.restoreCurrentRowKey();}}}};// CONCATENATED MODULE: ./packages/table/src/store/tree.js\nvar _extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};/* harmony default export */var tree={data:function data(){return{states:{// defaultExpandAll 存在于 expand.js 中，这里不重复添加\n// 在展开行中，expandRowKeys 会被转化成 expandRows，expandRowKeys 这个属性只是记录了 TreeTable 行的展开\n// TODO: 拆分为独立的 TreeTable，统一用法\nexpandRowKeys:[],treeData:{},indent:16,lazy:false,lazyTreeNodeMap:{},lazyColumnIdentifier:'hasChildren',childrenColumnName:'children'}};},computed:{// 嵌入型的数据，watch 无法是检测到变化 https://github.com/ElemeFE/element/issues/14998\n// TODO: 使用 computed 解决该问题，是否会造成性能问题？\n// @return { id: { level, children } }\nnormalizedData:function normalizedData(){if(!this.states.rowKey)return{};var data=this.states.data||[];return this.normalize(data);},// @return { id: { children } }\n// 针对懒加载的情形，不处理嵌套数据\nnormalizedLazyNode:function normalizedLazyNode(){var _states=this.states,rowKey=_states.rowKey,lazyTreeNodeMap=_states.lazyTreeNodeMap,lazyColumnIdentifier=_states.lazyColumnIdentifier;var keys=Object.keys(lazyTreeNodeMap);var res={};if(!keys.length)return res;keys.forEach(function(key){if(lazyTreeNodeMap[key].length){var item={children:[]};lazyTreeNodeMap[key].forEach(function(row){var currentRowKey=getRowIdentity(row,rowKey);item.children.push(currentRowKey);if(row[lazyColumnIdentifier]&&!res[currentRowKey]){res[currentRowKey]={children:[]};}});res[key]=item;}});return res;}},watch:{normalizedData:'updateTreeData',normalizedLazyNode:'updateTreeData'},methods:{normalize:function normalize(data){var _states2=this.states,childrenColumnName=_states2.childrenColumnName,lazyColumnIdentifier=_states2.lazyColumnIdentifier,rowKey=_states2.rowKey,lazy=_states2.lazy;var res={};walkTreeNode(data,function(parent,children,level){var parentId=getRowIdentity(parent,rowKey);if(Array.isArray(children)){res[parentId]={children:children.map(function(row){return getRowIdentity(row,rowKey);}),level:level};}else if(lazy){// 当 children 不存在且 lazy 为 true，该节点即为懒加载的节点\nres[parentId]={children:[],lazy:true,level:level};}},childrenColumnName,lazyColumnIdentifier);return res;},updateTreeData:function updateTreeData(){var nested=this.normalizedData;var normalizedLazyNode=this.normalizedLazyNode;var keys=Object.keys(nested);var newTreeData={};if(keys.length){var _states3=this.states,oldTreeData=_states3.treeData,defaultExpandAll=_states3.defaultExpandAll,expandRowKeys=_states3.expandRowKeys,lazy=_states3.lazy;var rootLazyRowKeys=[];var getExpanded=function getExpanded(oldValue,key){var included=defaultExpandAll||expandRowKeys&&expandRowKeys.indexOf(key)!==-1;return!!(oldValue&&oldValue.expanded||included);};// 合并 expanded 与 display，确保数据刷新后，状态不变\nkeys.forEach(function(key){var oldValue=oldTreeData[key];var newValue=_extends({},nested[key]);newValue.expanded=getExpanded(oldValue,key);if(newValue.lazy){var _ref=oldValue||{},_ref$loaded=_ref.loaded,loaded=_ref$loaded===undefined?false:_ref$loaded,_ref$loading=_ref.loading,loading=_ref$loading===undefined?false:_ref$loading;newValue.loaded=!!loaded;newValue.loading=!!loading;rootLazyRowKeys.push(key);}newTreeData[key]=newValue;});// 根据懒加载数据更新 treeData\nvar lazyKeys=Object.keys(normalizedLazyNode);if(lazy&&lazyKeys.length&&rootLazyRowKeys.length){lazyKeys.forEach(function(key){var oldValue=oldTreeData[key];var lazyNodeChildren=normalizedLazyNode[key].children;if(rootLazyRowKeys.indexOf(key)!==-1){// 懒加载的 root 节点，更新一下原有的数据，原来的 children 一定是空数组\nif(newTreeData[key].children.length!==0){throw new Error('[ElTable]children must be an empty array.');}newTreeData[key].children=lazyNodeChildren;}else{var _ref2=oldValue||{},_ref2$loaded=_ref2.loaded,loaded=_ref2$loaded===undefined?false:_ref2$loaded,_ref2$loading=_ref2.loading,loading=_ref2$loading===undefined?false:_ref2$loading;newTreeData[key]={lazy:true,loaded:!!loaded,loading:!!loading,expanded:getExpanded(oldValue,key),children:lazyNodeChildren,level:''};}});}}this.states.treeData=newTreeData;this.updateTableScrollY();},updateTreeExpandKeys:function updateTreeExpandKeys(value){this.states.expandRowKeys=value;this.updateTreeData();},toggleTreeExpansion:function toggleTreeExpansion(row,expanded){this.assertRowKey();var _states4=this.states,rowKey=_states4.rowKey,treeData=_states4.treeData;var id=getRowIdentity(row,rowKey);var data=id&&treeData[id];if(id&&data&&'expanded'in data){var oldExpanded=data.expanded;expanded=typeof expanded==='undefined'?!data.expanded:expanded;treeData[id].expanded=expanded;if(oldExpanded!==expanded){this.table.$emit('expand-change',row,expanded);}this.updateTableScrollY();}},loadOrToggle:function loadOrToggle(row){this.assertRowKey();var _states5=this.states,lazy=_states5.lazy,treeData=_states5.treeData,rowKey=_states5.rowKey;var id=getRowIdentity(row,rowKey);var data=treeData[id];if(lazy&&data&&'loaded'in data&&!data.loaded){this.loadData(row,id,data);}else{this.toggleTreeExpansion(row);}},loadData:function loadData(row,key,treeNode){var _this=this;var load=this.table.load;var rawTreeData=this.states.treeData;if(load&&!rawTreeData[key].loaded){rawTreeData[key].loading=true;load(row,treeNode,function(data){if(!Array.isArray(data)){throw new Error('[ElTable] data must be an array');}var _states6=_this.states,lazyTreeNodeMap=_states6.lazyTreeNodeMap,treeData=_states6.treeData;treeData[key].loading=false;treeData[key].loaded=true;treeData[key].expanded=true;if(data.length){_this.$set(lazyTreeNodeMap,key,data);}_this.table.$emit('expand-change',row,true);});}}}};// CONCATENATED MODULE: ./packages/table/src/store/watcher.js\nvar watcher_sortData=function sortData(data,states){var sortingColumn=states.sortingColumn;if(!sortingColumn||typeof sortingColumn.sortable==='string'){return data;}return util_orderBy(data,states.sortProp,states.sortOrder,sortingColumn.sortMethod,sortingColumn.sortBy);};var doFlattenColumns=function doFlattenColumns(columns){var result=[];columns.forEach(function(column){if(column.children){result.push.apply(result,doFlattenColumns(column.children));}else{result.push(column);}});return result;};/* harmony default export */var watcher=external_vue_default.a.extend({data:function data(){return{states:{// 3.0 版本后要求必须设置该属性\nrowKey:null,// 渲染的数据来源，是对 table 中的 data 过滤排序后的结果\ndata:[],// 是否包含固定列\nisComplex:false,// 列\n_columns:[],// 不可响应的\noriginColumns:[],columns:[],fixedColumns:[],rightFixedColumns:[],leafColumns:[],fixedLeafColumns:[],rightFixedLeafColumns:[],leafColumnsLength:0,fixedLeafColumnsLength:0,rightFixedLeafColumnsLength:0,// 选择\nisAllSelected:false,selection:[],reserveSelection:false,selectOnIndeterminate:false,selectable:null,// 过滤\nfilters:{},// 不可响应的\nfilteredData:null,// 排序\nsortingColumn:null,sortProp:null,sortOrder:null,hoverRow:null}};},mixins:[expand,store_current,tree],methods:{// 检查 rowKey 是否存在\nassertRowKey:function assertRowKey(){var rowKey=this.states.rowKey;if(!rowKey)throw new Error('[ElTable] prop row-key is required');},// 更新列\nupdateColumns:function updateColumns(){var states=this.states;var _columns=states._columns||[];states.fixedColumns=_columns.filter(function(column){return column.fixed===true||column.fixed==='left';});states.rightFixedColumns=_columns.filter(function(column){return column.fixed==='right';});if(states.fixedColumns.length>0&&_columns[0]&&_columns[0].type==='selection'&&!_columns[0].fixed){_columns[0].fixed=true;states.fixedColumns.unshift(_columns[0]);}var notFixedColumns=_columns.filter(function(column){return!column.fixed;});states.originColumns=[].concat(states.fixedColumns).concat(notFixedColumns).concat(states.rightFixedColumns);var leafColumns=doFlattenColumns(notFixedColumns);var fixedLeafColumns=doFlattenColumns(states.fixedColumns);var rightFixedLeafColumns=doFlattenColumns(states.rightFixedColumns);states.leafColumnsLength=leafColumns.length;states.fixedLeafColumnsLength=fixedLeafColumns.length;states.rightFixedLeafColumnsLength=rightFixedLeafColumns.length;states.columns=[].concat(fixedLeafColumns).concat(leafColumns).concat(rightFixedLeafColumns);states.isComplex=states.fixedColumns.length>0||states.rightFixedColumns.length>0;},// 更新 DOM\nscheduleLayout:function scheduleLayout(needUpdateColumns){if(needUpdateColumns){this.updateColumns();}this.table.debouncedUpdateLayout();},// 选择\nisSelected:function isSelected(row){var _states$selection=this.states.selection,selection=_states$selection===undefined?[]:_states$selection;return selection.indexOf(row)>-1;},clearSelection:function clearSelection(){var states=this.states;states.isAllSelected=false;var oldSelection=states.selection;if(oldSelection.length){states.selection=[];this.table.$emit('selection-change',[]);}},cleanSelection:function cleanSelection(){var states=this.states;var data=states.data,rowKey=states.rowKey,selection=states.selection;var deleted=void 0;if(rowKey){deleted=[];var selectedMap=getKeysMap(selection,rowKey);var dataMap=getKeysMap(data,rowKey);for(var key in selectedMap){if(selectedMap.hasOwnProperty(key)&&!dataMap[key]){deleted.push(selectedMap[key].row);}}}else{deleted=selection.filter(function(item){return data.indexOf(item)===-1;});}if(deleted.length){var newSelection=selection.filter(function(item){return deleted.indexOf(item)===-1;});states.selection=newSelection;this.table.$emit('selection-change',newSelection.slice());}},toggleRowSelection:function toggleRowSelection(row,selected){var emitChange=arguments.length>2&&arguments[2]!==undefined?arguments[2]:true;var changed=toggleRowStatus(this.states.selection,row,selected);if(changed){var newSelection=(this.states.selection||[]).slice();// 调用 API 修改选中值，不触发 select 事件\nif(emitChange){this.table.$emit('select',newSelection,row);}this.table.$emit('selection-change',newSelection);}},_toggleAllSelection:function _toggleAllSelection(){var states=this.states;var _states$data=states.data,data=_states$data===undefined?[]:_states$data,selection=states.selection;// when only some rows are selected (but not all), select or deselect all of them\n// depending on the value of selectOnIndeterminate\nvar value=states.selectOnIndeterminate?!states.isAllSelected:!(states.isAllSelected||selection.length);states.isAllSelected=value;var selectionChanged=false;data.forEach(function(row,index){if(states.selectable){if(states.selectable.call(null,row,index)&&toggleRowStatus(selection,row,value)){selectionChanged=true;}}else{if(toggleRowStatus(selection,row,value)){selectionChanged=true;}}});if(selectionChanged){this.table.$emit('selection-change',selection?selection.slice():[]);}this.table.$emit('select-all',selection);},updateSelectionByRowKey:function updateSelectionByRowKey(){var states=this.states;var selection=states.selection,rowKey=states.rowKey,data=states.data;var selectedMap=getKeysMap(selection,rowKey);data.forEach(function(row){var rowId=getRowIdentity(row,rowKey);var rowInfo=selectedMap[rowId];if(rowInfo){selection[rowInfo.index]=row;}});},updateAllSelected:function updateAllSelected(){var states=this.states;var selection=states.selection,rowKey=states.rowKey,selectable=states.selectable;// data 为 null 时，解构时的默认值会被忽略\nvar data=states.data||[];if(data.length===0){states.isAllSelected=false;return;}var selectedMap=void 0;if(rowKey){selectedMap=getKeysMap(selection,rowKey);}var isSelected=function isSelected(row){if(selectedMap){return!!selectedMap[getRowIdentity(row,rowKey)];}else{return selection.indexOf(row)!==-1;}};var isAllSelected=true;var selectedCount=0;for(var i=0,j=data.length;i<j;i++){var item=data[i];var isRowSelectable=selectable&&selectable.call(null,item,i);if(!isSelected(item)){if(!selectable||isRowSelectable){isAllSelected=false;break;}}else{selectedCount++;}}if(selectedCount===0)isAllSelected=false;states.isAllSelected=isAllSelected;},// 过滤与排序\nupdateFilters:function updateFilters(columns,values){if(!Array.isArray(columns)){columns=[columns];}var states=this.states;var filters={};columns.forEach(function(col){states.filters[col.id]=values;filters[col.columnKey||col.id]=values;});return filters;},updateSort:function updateSort(column,prop,order){if(this.states.sortingColumn&&this.states.sortingColumn!==column){this.states.sortingColumn.order=null;}this.states.sortingColumn=column;this.states.sortProp=prop;this.states.sortOrder=order;},execFilter:function execFilter(){var _this=this;var states=this.states;var _data=states._data,filters=states.filters;var data=_data;Object.keys(filters).forEach(function(columnId){var values=states.filters[columnId];if(!values||values.length===0)return;var column=getColumnById(_this.states,columnId);if(column&&column.filterMethod){data=data.filter(function(row){return values.some(function(value){return column.filterMethod.call(null,value,row,column);});});}});states.filteredData=data;},execSort:function execSort(){var states=this.states;states.data=watcher_sortData(states.filteredData,states);},// 根据 filters 与 sort 去过滤 data\nexecQuery:function execQuery(ignore){if(!(ignore&&ignore.filter)){this.execFilter();}this.execSort();},clearFilter:function clearFilter(columnKeys){var states=this.states;var _table$$refs=this.table.$refs,tableHeader=_table$$refs.tableHeader,fixedTableHeader=_table$$refs.fixedTableHeader,rightFixedTableHeader=_table$$refs.rightFixedTableHeader;var panels={};if(tableHeader)panels=merge_default()(panels,tableHeader.filterPanels);if(fixedTableHeader)panels=merge_default()(panels,fixedTableHeader.filterPanels);if(rightFixedTableHeader)panels=merge_default()(panels,rightFixedTableHeader.filterPanels);var keys=Object.keys(panels);if(!keys.length)return;if(typeof columnKeys==='string'){columnKeys=[columnKeys];}if(Array.isArray(columnKeys)){var columns=columnKeys.map(function(key){return getColumnByKey(states,key);});keys.forEach(function(key){var column=columns.find(function(col){return col.id===key;});if(column){// TODO: 优化这里的代码\npanels[key].filteredValue=[];}});this.commit('filterChange',{column:columns,values:[],silent:true,multi:true});}else{keys.forEach(function(key){// TODO: 优化这里的代码\npanels[key].filteredValue=[];});states.filters={};this.commit('filterChange',{column:{},values:[],silent:true});}},clearSort:function clearSort(){var states=this.states;if(!states.sortingColumn)return;this.updateSort(null,null,null);this.commit('changeSortCondition',{silent:true});},// 适配层，expand-row-keys 在 Expand 与 TreeTable 中都有使用\nsetExpandRowKeysAdapter:function setExpandRowKeysAdapter(val){// 这里会触发额外的计算，但为了兼容性，暂时这么做\nthis.setExpandRowKeys(val);this.updateTreeExpandKeys(val);},// 展开行与 TreeTable 都要使用\ntoggleRowExpansionAdapter:function toggleRowExpansionAdapter(row,expanded){var hasExpandColumn=this.states.columns.some(function(_ref){var type=_ref.type;return type==='expand';});if(hasExpandColumn){this.toggleRowExpansion(row,expanded);}else{this.toggleTreeExpansion(row,expanded);}}}});// CONCATENATED MODULE: ./packages/table/src/store/index.js\nwatcher.prototype.mutations={setData:function setData(states,data){var dataInstanceChanged=states._data!==data;states._data=data;this.execQuery();// 数据变化，更新部分数据。\n// 没有使用 computed，而是手动更新部分数据 https://github.com/vuejs/vue/issues/6660#issuecomment-331417140\nthis.updateCurrentRowData();this.updateExpandRows();if(states.reserveSelection){this.assertRowKey();this.updateSelectionByRowKey();}else{if(dataInstanceChanged){this.clearSelection();}else{this.cleanSelection();}}this.updateAllSelected();this.updateTableScrollY();},insertColumn:function insertColumn(states,column,index,parent){var array=states._columns;if(parent){array=parent.children;if(!array)array=parent.children=[];}if(typeof index!=='undefined'){array.splice(index,0,column);}else{array.push(column);}if(column.type==='selection'){states.selectable=column.selectable;states.reserveSelection=column.reserveSelection;}if(this.table.$ready){this.updateColumns();// hack for dynamics insert column\nthis.scheduleLayout();}},removeColumn:function removeColumn(states,column,parent){var array=states._columns;if(parent){array=parent.children;if(!array)array=parent.children=[];}if(array){array.splice(array.indexOf(column),1);}if(this.table.$ready){this.updateColumns();// hack for dynamics remove column\nthis.scheduleLayout();}},sort:function sort(states,options){var prop=options.prop,order=options.order,init=options.init;if(prop){var column=Object(util_[\"arrayFind\"])(states.columns,function(column){return column.property===prop;});if(column){column.order=order;this.updateSort(column,prop,order);this.commit('changeSortCondition',{init:init});}}},changeSortCondition:function changeSortCondition(states,options){// 修复 pr https://github.com/ElemeFE/element/pull/15012 导致的 bug\nvar column=states.sortingColumn,prop=states.sortProp,order=states.sortOrder;if(order===null){states.sortingColumn=null;states.sortProp=null;}var ingore={filter:true};this.execQuery(ingore);if(!options||!(options.silent||options.init)){this.table.$emit('sort-change',{column:column,prop:prop,order:order});}this.updateTableScrollY();},filterChange:function filterChange(states,options){var column=options.column,values=options.values,silent=options.silent;var newFilters=this.updateFilters(column,values);this.execQuery();if(!silent){this.table.$emit('filter-change',newFilters);}this.updateTableScrollY();},toggleAllSelection:function toggleAllSelection(){this.toggleAllSelection();},rowSelectedChanged:function rowSelectedChanged(states,row){this.toggleRowSelection(row);this.updateAllSelected();},setHoverRow:function setHoverRow(states,row){states.hoverRow=row;},setCurrentRow:function setCurrentRow(states,row){this.updateCurrentRow(row);}};watcher.prototype.commit=function(name){var mutations=this.mutations;if(mutations[name]){for(var _len=arguments.length,args=Array(_len>1?_len-1:0),_key=1;_key<_len;_key++){args[_key-1]=arguments[_key];}mutations[name].apply(this,[this.states].concat(args));}else{throw new Error('Action not found: '+name);}};watcher.prototype.updateTableScrollY=function(){external_vue_default.a.nextTick(this.table.updateScrollY);};/* harmony default export */var src_store=watcher;// CONCATENATED MODULE: ./packages/table/src/store/helper.js\nfunction createStore(table){var initialState=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};if(!table){throw new Error('Table is required.');}var store=new src_store();store.table=table;// fix https://github.com/ElemeFE/element/issues/14075\n// related pr https://github.com/ElemeFE/element/pull/14146\nstore.toggleAllSelection=debounce_default()(10,store._toggleAllSelection);Object.keys(initialState).forEach(function(key){store.states[key]=initialState[key];});return store;}function mapStates(mapper){var res={};Object.keys(mapper).forEach(function(key){var value=mapper[key];var fn=void 0;if(typeof value==='string'){fn=function fn(){return this.store.states[value];};}else if(typeof value==='function'){fn=function fn(){return value.call(this,this.store.states);};}else{console.error('invalid value type');}if(fn){res[key]=fn;}});return res;};// EXTERNAL MODULE: external \"element-ui/lib/utils/scrollbar-width\"\nvar scrollbar_width_=__nested_webpack_require_8056__(31);var scrollbar_width_default=/*#__PURE__*/__nested_webpack_require_8056__.n(scrollbar_width_);// CONCATENATED MODULE: ./packages/table/src/table-layout.js\nfunction _classCallCheck(instance,Constructor){if(!(instance instanceof Constructor)){throw new TypeError(\"Cannot call a class as a function\");}}var table_layout_TableLayout=function(){function TableLayout(options){_classCallCheck(this,TableLayout);this.observers=[];this.table=null;this.store=null;this.columns=null;this.fit=true;this.showHeader=true;this.height=null;this.scrollX=false;this.scrollY=false;this.bodyWidth=null;this.fixedWidth=null;this.rightFixedWidth=null;this.tableHeight=null;this.headerHeight=44;// Table Header Height\nthis.appendHeight=0;// Append Slot Height\nthis.footerHeight=44;// Table Footer Height\nthis.viewportHeight=null;// Table Height - Scroll Bar Height\nthis.bodyHeight=null;// Table Height - Table Header Height\nthis.fixedBodyHeight=null;// Table Height - Table Header Height - Scroll Bar Height\nthis.gutterWidth=scrollbar_width_default()();for(var name in options){if(options.hasOwnProperty(name)){this[name]=options[name];}}if(!this.table){throw new Error('table is required for Table Layout');}if(!this.store){throw new Error('store is required for Table Layout');}}TableLayout.prototype.updateScrollY=function updateScrollY(){var height=this.height;if(height===null)return false;var bodyWrapper=this.table.bodyWrapper;if(this.table.$el&&bodyWrapper){var body=bodyWrapper.querySelector('.el-table__body');var prevScrollY=this.scrollY;var scrollY=body.offsetHeight>this.bodyHeight;this.scrollY=scrollY;return prevScrollY!==scrollY;}return false;};TableLayout.prototype.setHeight=function setHeight(value){var _this=this;var prop=arguments.length>1&&arguments[1]!==undefined?arguments[1]:'height';if(external_vue_default.a.prototype.$isServer)return;var el=this.table.$el;value=parseHeight(value);this.height=value;if(!el&&(value||value===0))return external_vue_default.a.nextTick(function(){return _this.setHeight(value,prop);});if(typeof value==='number'){el.style[prop]=value+'px';this.updateElsHeight();}else if(typeof value==='string'){el.style[prop]=value;this.updateElsHeight();}};TableLayout.prototype.setMaxHeight=function setMaxHeight(value){this.setHeight(value,'max-height');};TableLayout.prototype.getFlattenColumns=function getFlattenColumns(){var flattenColumns=[];var columns=this.table.columns;columns.forEach(function(column){if(column.isColumnGroup){flattenColumns.push.apply(flattenColumns,column.columns);}else{flattenColumns.push(column);}});return flattenColumns;};TableLayout.prototype.updateElsHeight=function updateElsHeight(){var _this2=this;if(!this.table.$ready)return external_vue_default.a.nextTick(function(){return _this2.updateElsHeight();});var _table$$refs=this.table.$refs,headerWrapper=_table$$refs.headerWrapper,appendWrapper=_table$$refs.appendWrapper,footerWrapper=_table$$refs.footerWrapper;this.appendHeight=appendWrapper?appendWrapper.offsetHeight:0;if(this.showHeader&&!headerWrapper)return;// fix issue (https://github.com/ElemeFE/element/pull/16956)\nvar headerTrElm=headerWrapper?headerWrapper.querySelector('.el-table__header tr'):null;var noneHeader=this.headerDisplayNone(headerTrElm);var headerHeight=this.headerHeight=!this.showHeader?0:headerWrapper.offsetHeight;if(this.showHeader&&!noneHeader&&headerWrapper.offsetWidth>0&&(this.table.columns||[]).length>0&&headerHeight<2){return external_vue_default.a.nextTick(function(){return _this2.updateElsHeight();});}var tableHeight=this.tableHeight=this.table.$el.clientHeight;var footerHeight=this.footerHeight=footerWrapper?footerWrapper.offsetHeight:0;if(this.height!==null){this.bodyHeight=tableHeight-headerHeight-footerHeight+(footerWrapper?1:0);}this.fixedBodyHeight=this.scrollX?this.bodyHeight-this.gutterWidth:this.bodyHeight;var noData=!(this.store.states.data&&this.store.states.data.length);this.viewportHeight=this.scrollX?tableHeight-(noData?0:this.gutterWidth):tableHeight;this.updateScrollY();this.notifyObservers('scrollable');};TableLayout.prototype.headerDisplayNone=function headerDisplayNone(elm){if(!elm)return true;var headerChild=elm;while(headerChild.tagName!=='DIV'){if(getComputedStyle(headerChild).display==='none'){return true;}headerChild=headerChild.parentElement;}return false;};TableLayout.prototype.updateColumnsWidth=function updateColumnsWidth(){if(external_vue_default.a.prototype.$isServer)return;var fit=this.fit;var bodyWidth=this.table.$el.clientWidth;var bodyMinWidth=0;var flattenColumns=this.getFlattenColumns();var flexColumns=flattenColumns.filter(function(column){return typeof column.width!=='number';});flattenColumns.forEach(function(column){// Clean those columns whose width changed from flex to unflex\nif(typeof column.width==='number'&&column.realWidth)column.realWidth=null;});if(flexColumns.length>0&&fit){flattenColumns.forEach(function(column){bodyMinWidth+=column.width||column.minWidth||80;});var scrollYWidth=this.scrollY?this.gutterWidth:0;if(bodyMinWidth<=bodyWidth-scrollYWidth){// DON'T HAVE SCROLL BAR\nthis.scrollX=false;var totalFlexWidth=bodyWidth-scrollYWidth-bodyMinWidth;if(flexColumns.length===1){flexColumns[0].realWidth=(flexColumns[0].minWidth||80)+totalFlexWidth;}else{var allColumnsWidth=flexColumns.reduce(function(prev,column){return prev+(column.minWidth||80);},0);var flexWidthPerPixel=totalFlexWidth/allColumnsWidth;var noneFirstWidth=0;flexColumns.forEach(function(column,index){if(index===0)return;var flexWidth=Math.floor((column.minWidth||80)*flexWidthPerPixel);noneFirstWidth+=flexWidth;column.realWidth=(column.minWidth||80)+flexWidth;});flexColumns[0].realWidth=(flexColumns[0].minWidth||80)+totalFlexWidth-noneFirstWidth;}}else{// HAVE HORIZONTAL SCROLL BAR\nthis.scrollX=true;flexColumns.forEach(function(column){column.realWidth=column.minWidth;});}this.bodyWidth=Math.max(bodyMinWidth,bodyWidth);this.table.resizeState.width=this.bodyWidth;}else{flattenColumns.forEach(function(column){if(!column.width&&!column.minWidth){column.realWidth=80;}else{column.realWidth=column.width||column.minWidth;}bodyMinWidth+=column.realWidth;});this.scrollX=bodyMinWidth>bodyWidth;this.bodyWidth=bodyMinWidth;}var fixedColumns=this.store.states.fixedColumns;if(fixedColumns.length>0){var fixedWidth=0;fixedColumns.forEach(function(column){fixedWidth+=column.realWidth||column.width;});this.fixedWidth=fixedWidth;}var rightFixedColumns=this.store.states.rightFixedColumns;if(rightFixedColumns.length>0){var rightFixedWidth=0;rightFixedColumns.forEach(function(column){rightFixedWidth+=column.realWidth||column.width;});this.rightFixedWidth=rightFixedWidth;}this.notifyObservers('columns');};TableLayout.prototype.addObserver=function addObserver(observer){this.observers.push(observer);};TableLayout.prototype.removeObserver=function removeObserver(observer){var index=this.observers.indexOf(observer);if(index!==-1){this.observers.splice(index,1);}};TableLayout.prototype.notifyObservers=function notifyObservers(event){var _this3=this;var observers=this.observers;observers.forEach(function(observer){switch(event){case'columns':observer.onColumnsChange(_this3);break;case'scrollable':observer.onScrollableChange(_this3);break;default:throw new Error('Table Layout don\\'t have event '+event+'.');}});};return TableLayout;}();/* harmony default export */var table_layout=table_layout_TableLayout;// CONCATENATED MODULE: ./packages/table/src/layout-observer.js\n/* harmony default export */var layout_observer={created:function created(){this.tableLayout.addObserver(this);},destroyed:function destroyed(){this.tableLayout.removeObserver(this);},computed:{tableLayout:function tableLayout(){var layout=this.layout;if(!layout&&this.table){layout=this.table.layout;}if(!layout){throw new Error('Can not find table layout.');}return layout;}},mounted:function mounted(){this.onColumnsChange(this.tableLayout);this.onScrollableChange(this.tableLayout);},updated:function updated(){if(this.__updated__)return;this.onColumnsChange(this.tableLayout);this.onScrollableChange(this.tableLayout);this.__updated__=true;},methods:{onColumnsChange:function onColumnsChange(layout){var cols=this.$el.querySelectorAll('colgroup > col');if(!cols.length)return;var flattenColumns=layout.getFlattenColumns();var columnsMap={};flattenColumns.forEach(function(column){columnsMap[column.id]=column;});for(var i=0,j=cols.length;i<j;i++){var col=cols[i];var name=col.getAttribute('name');var column=columnsMap[name];if(column){col.setAttribute('width',column.realWidth||column.width);}}},onScrollableChange:function onScrollableChange(layout){var cols=this.$el.querySelectorAll('colgroup > col[name=gutter]');for(var i=0,j=cols.length;i<j;i++){var col=cols[i];col.setAttribute('width',layout.scrollY?layout.gutterWidth:'0');}var ths=this.$el.querySelectorAll('th.gutter');for(var _i=0,_j=ths.length;_i<_j;_i++){var th=ths[_i];th.style.width=layout.scrollY?layout.gutterWidth+'px':'0';th.style.display=layout.scrollY?'':'none';}}}};// CONCATENATED MODULE: ./packages/table/src/table-row.js\nvar table_row_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};/* harmony default export */var table_row={name:'ElTableRow',props:['columns','row','index','isSelected','isExpanded','store','context','firstDefaultColumnIndex','treeRowData','treeIndent','columnsHidden','getSpan','getColspanRealWidth','getCellStyle','getCellClass','handleCellMouseLeave','handleCellMouseEnter','fixed'],components:{ElCheckbox:checkbox_default.a},render:function render(){var _this=this;var h=arguments[0];var columns=this.columns,row=this.row,$index=this.index,store=this.store,context=this.context,firstDefaultColumnIndex=this.firstDefaultColumnIndex,treeRowData=this.treeRowData,treeIndent=this.treeIndent,_columnsHidden=this.columnsHidden,columnsHidden=_columnsHidden===undefined?[]:_columnsHidden,isSelected=this.isSelected,isExpanded=this.isExpanded;return h('tr',[columns.map(function(column,cellIndex){var _getSpan=_this.getSpan(row,column,$index,cellIndex),rowspan=_getSpan.rowspan,colspan=_getSpan.colspan;if(!rowspan||!colspan){return null;}var columnData=table_row_extends({},column);columnData.realWidth=_this.getColspanRealWidth(columns,colspan,cellIndex);var data={store:store,isSelected:isSelected,isExpanded:isExpanded,_self:context,column:columnData,row:row,$index:$index};if(cellIndex===firstDefaultColumnIndex&&treeRowData){data.treeNode={indent:treeRowData.level*treeIndent,level:treeRowData.level};if(typeof treeRowData.expanded==='boolean'){data.treeNode.expanded=treeRowData.expanded;// 表明是懒加载\nif('loading'in treeRowData){data.treeNode.loading=treeRowData.loading;}if('noLazyChildren'in treeRowData){data.treeNode.noLazyChildren=treeRowData.noLazyChildren;}}}return h('td',{style:_this.getCellStyle($index,cellIndex,row,column),'class':_this.getCellClass($index,cellIndex,row,column),attrs:{rowspan:rowspan,colspan:colspan},on:{'mouseenter':function mouseenter($event){return _this.handleCellMouseEnter($event,row);},'mouseleave':_this.handleCellMouseLeave}},[column.renderCell.call(_this._renderProxy,_this.$createElement,data,columnsHidden[cellIndex])]);})]);}};// CONCATENATED MODULE: ./packages/table/src/table-body.js\nvar table_body_typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(obj){return typeof obj;}:function(obj){return obj&&typeof Symbol===\"function\"&&obj.constructor===Symbol&&obj!==Symbol.prototype?\"symbol\":typeof obj;};var table_body_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};/* harmony default export */var table_body={name:'ElTableBody',mixins:[layout_observer],components:{ElCheckbox:checkbox_default.a,ElTooltip:tooltip_default.a,TableRow:table_row},props:{store:{required:true},stripe:Boolean,context:{},rowClassName:[String,Function],rowStyle:[Object,Function],fixed:String,highlight:Boolean},render:function render(h){var _this=this;var data=this.data||[];return h('table',{'class':'el-table__body',attrs:{cellspacing:'0',cellpadding:'0',border:'0'}},[h('colgroup',[this.columns.map(function(column){return h('col',{attrs:{name:column.id},key:column.id});})]),h('tbody',[data.reduce(function(acc,row){return acc.concat(_this.wrappedRowRender(row,acc.length));},[]),h('el-tooltip',{attrs:{effect:this.table.tooltipEffect,placement:'top',content:this.tooltipContent},ref:'tooltip'})])]);},computed:table_body_extends({table:function table(){return this.$parent;}},mapStates({data:'data',columns:'columns',treeIndent:'indent',leftFixedLeafCount:'fixedLeafColumnsLength',rightFixedLeafCount:'rightFixedLeafColumnsLength',columnsCount:function columnsCount(states){return states.columns.length;},leftFixedCount:function leftFixedCount(states){return states.fixedColumns.length;},rightFixedCount:function rightFixedCount(states){return states.rightFixedColumns.length;},hasExpandColumn:function hasExpandColumn(states){return states.columns.some(function(_ref){var type=_ref.type;return type==='expand';});}}),{columnsHidden:function columnsHidden(){var _this2=this;return this.columns.map(function(column,index){return _this2.isColumnHidden(index);});},firstDefaultColumnIndex:function firstDefaultColumnIndex(){return Object(util_[\"arrayFindIndex\"])(this.columns,function(_ref2){var type=_ref2.type;return type==='default';});}}),watch:{// don't trigger getter of currentRow in getCellClass. see https://jsfiddle.net/oe2b4hqt/\n// update DOM manually. see https://github.com/ElemeFE/element/pull/13954/files#diff-9b450c00d0a9dec0ffad5a3176972e40\n'store.states.hoverRow':function storeStatesHoverRow(newVal,oldVal){var _this3=this;if(!this.store.states.isComplex||this.$isServer)return;var raf=window.requestAnimationFrame;if(!raf){raf=function raf(fn){return setTimeout(fn,16);};}raf(function(){var rows=_this3.$el.querySelectorAll('.el-table__row');var oldRow=rows[oldVal];var newRow=rows[newVal];if(oldRow){Object(dom_[\"removeClass\"])(oldRow,'hover-row');}if(newRow){Object(dom_[\"addClass\"])(newRow,'hover-row');}});}},data:function data(){return{tooltipContent:''};},created:function created(){this.activateTooltip=debounce_default()(50,function(tooltip){return tooltip.handleShowPopper();});},methods:{getKeyOfRow:function getKeyOfRow(row,index){var rowKey=this.table.rowKey;if(rowKey){return getRowIdentity(row,rowKey);}return index;},isColumnHidden:function isColumnHidden(index){if(this.fixed===true||this.fixed==='left'){return index>=this.leftFixedLeafCount;}else if(this.fixed==='right'){return index<this.columnsCount-this.rightFixedLeafCount;}else{return index<this.leftFixedLeafCount||index>=this.columnsCount-this.rightFixedLeafCount;}},getSpan:function getSpan(row,column,rowIndex,columnIndex){var rowspan=1;var colspan=1;var fn=this.table.spanMethod;if(typeof fn==='function'){var result=fn({row:row,column:column,rowIndex:rowIndex,columnIndex:columnIndex});if(Array.isArray(result)){rowspan=result[0];colspan=result[1];}else if((typeof result==='undefined'?'undefined':table_body_typeof(result))==='object'){rowspan=result.rowspan;colspan=result.colspan;}}return{rowspan:rowspan,colspan:colspan};},getRowStyle:function getRowStyle(row,rowIndex){var rowStyle=this.table.rowStyle;if(typeof rowStyle==='function'){return rowStyle.call(null,{row:row,rowIndex:rowIndex});}return rowStyle||null;},getRowClass:function getRowClass(row,rowIndex){var classes=['el-table__row'];if(this.table.highlightCurrentRow&&row===this.store.states.currentRow){classes.push('current-row');}if(this.stripe&&rowIndex%2===1){classes.push('el-table__row--striped');}var rowClassName=this.table.rowClassName;if(typeof rowClassName==='string'){classes.push(rowClassName);}else if(typeof rowClassName==='function'){classes.push(rowClassName.call(null,{row:row,rowIndex:rowIndex}));}if(this.store.states.expandRows.indexOf(row)>-1){classes.push('expanded');}return classes;},getCellStyle:function getCellStyle(rowIndex,columnIndex,row,column){var cellStyle=this.table.cellStyle;if(typeof cellStyle==='function'){return cellStyle.call(null,{rowIndex:rowIndex,columnIndex:columnIndex,row:row,column:column});}return cellStyle;},getCellClass:function getCellClass(rowIndex,columnIndex,row,column){var classes=[column.id,column.align,column.className];if(this.isColumnHidden(columnIndex)){classes.push('is-hidden');}var cellClassName=this.table.cellClassName;if(typeof cellClassName==='string'){classes.push(cellClassName);}else if(typeof cellClassName==='function'){classes.push(cellClassName.call(null,{rowIndex:rowIndex,columnIndex:columnIndex,row:row,column:column}));}classes.push('el-table__cell');return classes.join(' ');},getColspanRealWidth:function getColspanRealWidth(columns,colspan,index){if(colspan<1){return columns[index].realWidth;}var widthArr=columns.map(function(_ref3){var realWidth=_ref3.realWidth;return realWidth;}).slice(index,index+colspan);return widthArr.reduce(function(acc,width){return acc+width;},-1);},handleCellMouseEnter:function handleCellMouseEnter(event,row){var table=this.table;var cell=getCell(event);if(cell){var column=getColumnByCell(table,cell);var hoverState=table.hoverState={cell:cell,column:column,row:row};table.$emit('cell-mouse-enter',hoverState.row,hoverState.column,hoverState.cell,event);}// 判断是否text-overflow, 如果是就显示tooltip\nvar cellChild=event.target.querySelector('.cell');if(!(Object(dom_[\"hasClass\"])(cellChild,'el-tooltip')&&cellChild.childNodes.length)){return;}// use range width instead of scrollWidth to determine whether the text is overflowing\n// to address a potential FireFox bug: https://bugzilla.mozilla.org/show_bug.cgi?id=1074543#c3\nvar range=document.createRange();range.setStart(cellChild,0);range.setEnd(cellChild,cellChild.childNodes.length);var rangeWidth=range.getBoundingClientRect().width;var padding=(parseInt(Object(dom_[\"getStyle\"])(cellChild,'paddingLeft'),10)||0)+(parseInt(Object(dom_[\"getStyle\"])(cellChild,'paddingRight'),10)||0);if((rangeWidth+padding>cellChild.offsetWidth||cellChild.scrollWidth>cellChild.offsetWidth)&&this.$refs.tooltip){var tooltip=this.$refs.tooltip;// TODO 会引起整个 Table 的重新渲染，需要优化\nthis.tooltipContent=cell.innerText||cell.textContent;tooltip.referenceElm=cell;tooltip.$refs.popper&&(tooltip.$refs.popper.style.display='none');tooltip.doDestroy();tooltip.setExpectedState(true);this.activateTooltip(tooltip);}},handleCellMouseLeave:function handleCellMouseLeave(event){var tooltip=this.$refs.tooltip;if(tooltip){tooltip.setExpectedState(false);tooltip.handleClosePopper();}var cell=getCell(event);if(!cell)return;var oldHoverState=this.table.hoverState||{};this.table.$emit('cell-mouse-leave',oldHoverState.row,oldHoverState.column,oldHoverState.cell,event);},handleMouseEnter:debounce_default()(30,function(index){this.store.commit('setHoverRow',index);}),handleMouseLeave:debounce_default()(30,function(){this.store.commit('setHoverRow',null);}),handleContextMenu:function handleContextMenu(event,row){this.handleEvent(event,row,'contextmenu');},handleDoubleClick:function handleDoubleClick(event,row){this.handleEvent(event,row,'dblclick');},handleClick:function handleClick(event,row){this.store.commit('setCurrentRow',row);this.handleEvent(event,row,'click');},handleEvent:function handleEvent(event,row,name){var table=this.table;var cell=getCell(event);var column=void 0;if(cell){column=getColumnByCell(table,cell);if(column){table.$emit('cell-'+name,row,column,cell,event);}}table.$emit('row-'+name,row,column,event);},rowRender:function rowRender(row,$index,treeRowData){var _this4=this;var h=this.$createElement;var treeIndent=this.treeIndent,columns=this.columns,firstDefaultColumnIndex=this.firstDefaultColumnIndex;var rowClasses=this.getRowClass(row,$index);var display=true;if(treeRowData){rowClasses.push('el-table__row--level-'+treeRowData.level);display=treeRowData.display;}// 指令 v-show 会覆盖 row-style 中 display\n// 使用 :style 代替 v-show https://github.com/ElemeFE/element/issues/16995\nvar displayStyle=display?null:{display:'none'};return h(table_row,{style:[displayStyle,this.getRowStyle(row,$index)],'class':rowClasses,key:this.getKeyOfRow(row,$index),nativeOn:{'dblclick':function dblclick($event){return _this4.handleDoubleClick($event,row);},'click':function click($event){return _this4.handleClick($event,row);},'contextmenu':function contextmenu($event){return _this4.handleContextMenu($event,row);},'mouseenter':function mouseenter(_){return _this4.handleMouseEnter($index);},'mouseleave':this.handleMouseLeave},attrs:{columns:columns,row:row,index:$index,store:this.store,context:this.context||this.table.$vnode.context,firstDefaultColumnIndex:firstDefaultColumnIndex,treeRowData:treeRowData,treeIndent:treeIndent,columnsHidden:this.columnsHidden,getSpan:this.getSpan,getColspanRealWidth:this.getColspanRealWidth,getCellStyle:this.getCellStyle,getCellClass:this.getCellClass,handleCellMouseEnter:this.handleCellMouseEnter,handleCellMouseLeave:this.handleCellMouseLeave,isSelected:this.store.isSelected(row),isExpanded:this.store.states.expandRows.indexOf(row)>-1,fixed:this.fixed}});},wrappedRowRender:function wrappedRowRender(row,$index){var _this5=this;var h=this.$createElement;var store=this.store;var isRowExpanded=store.isRowExpanded,assertRowKey=store.assertRowKey;var _store$states=store.states,treeData=_store$states.treeData,lazyTreeNodeMap=_store$states.lazyTreeNodeMap,childrenColumnName=_store$states.childrenColumnName,rowKey=_store$states.rowKey;if(this.hasExpandColumn&&isRowExpanded(row)){var renderExpanded=this.table.renderExpanded;var tr=this.rowRender(row,$index);if(!renderExpanded){console.error('[Element Error]renderExpanded is required.');return tr;}// 使用二维数组，避免修改 $index\nreturn[[tr,h('tr',{key:'expanded-row__'+tr.key},[h('td',{attrs:{colspan:this.columnsCount},'class':'el-table__cell el-table__expanded-cell'},[renderExpanded(this.$createElement,{row:row,$index:$index,store:this.store})])])]];}else if(Object.keys(treeData).length){assertRowKey();// TreeTable 时，rowKey 必须由用户设定，不使用 getKeyOfRow 计算\n// 在调用 rowRender 函数时，仍然会计算 rowKey，不太好的操作\nvar key=getRowIdentity(row,rowKey);var cur=treeData[key];var treeRowData=null;if(cur){treeRowData={expanded:cur.expanded,level:cur.level,display:true};if(typeof cur.lazy==='boolean'){if(typeof cur.loaded==='boolean'&&cur.loaded){treeRowData.noLazyChildren=!(cur.children&&cur.children.length);}treeRowData.loading=cur.loading;}}var tmp=[this.rowRender(row,$index,treeRowData)];// 渲染嵌套数据\nif(cur){// currentRow 记录的是 index，所以还需主动增加 TreeTable 的 index\nvar i=0;var traverse=function traverse(children,parent){if(!(children&&children.length&&parent))return;children.forEach(function(node){// 父节点的 display 状态影响子节点的显示状态\nvar innerTreeRowData={display:parent.display&&parent.expanded,level:parent.level+1};var childKey=getRowIdentity(node,rowKey);if(childKey===undefined||childKey===null){throw new Error('for nested data item, row-key is required.');}cur=table_body_extends({},treeData[childKey]);// 对于当前节点，分成有无子节点两种情况。\n// 如果包含子节点的，设置 expanded 属性。\n// 对于它子节点的 display 属性由它本身的 expanded 与 display 共同决定。\nif(cur){innerTreeRowData.expanded=cur.expanded;// 懒加载的某些节点，level 未知\ncur.level=cur.level||innerTreeRowData.level;cur.display=!!(cur.expanded&&innerTreeRowData.display);if(typeof cur.lazy==='boolean'){if(typeof cur.loaded==='boolean'&&cur.loaded){innerTreeRowData.noLazyChildren=!(cur.children&&cur.children.length);}innerTreeRowData.loading=cur.loading;}}i++;tmp.push(_this5.rowRender(node,$index+i,innerTreeRowData));if(cur){var _nodes=lazyTreeNodeMap[childKey]||node[childrenColumnName];traverse(_nodes,cur);}});};// 对于 root 节点，display 一定为 true\ncur.display=true;var nodes=lazyTreeNodeMap[key]||row[childrenColumnName];traverse(nodes,cur);}return tmp;}else{return this.rowRender(row,$index);}}}};// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/table/src/filter-panel.vue?vue&type=template&id=7f2c919f&\nvar filter_panelvue_type_template_id_7f2c919f_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"}},[_vm.multiple?_c(\"div\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.handleOutsideClick,expression:\"handleOutsideClick\"},{name:\"show\",rawName:\"v-show\",value:_vm.showPopper,expression:\"showPopper\"}],staticClass:\"el-table-filter\"},[_c(\"div\",{staticClass:\"el-table-filter__content\"},[_c(\"el-scrollbar\",{attrs:{\"wrap-class\":\"el-table-filter__wrap\"}},[_c(\"el-checkbox-group\",{staticClass:\"el-table-filter__checkbox-group\",model:{value:_vm.filteredValue,callback:function($$v){_vm.filteredValue=$$v;},expression:\"filteredValue\"}},_vm._l(_vm.filters,function(filter){return _c(\"el-checkbox\",{key:filter.value,attrs:{label:filter.value}},[_vm._v(_vm._s(filter.text))]);}),1)],1)],1),_c(\"div\",{staticClass:\"el-table-filter__bottom\"},[_c(\"button\",{class:{\"is-disabled\":_vm.filteredValue.length===0},attrs:{disabled:_vm.filteredValue.length===0},on:{click:_vm.handleConfirm}},[_vm._v(_vm._s(_vm.t(\"el.table.confirmFilter\")))]),_c(\"button\",{on:{click:_vm.handleReset}},[_vm._v(_vm._s(_vm.t(\"el.table.resetFilter\")))])])]):_c(\"div\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.handleOutsideClick,expression:\"handleOutsideClick\"},{name:\"show\",rawName:\"v-show\",value:_vm.showPopper,expression:\"showPopper\"}],staticClass:\"el-table-filter\"},[_c(\"ul\",{staticClass:\"el-table-filter__list\"},[_c(\"li\",{staticClass:\"el-table-filter__list-item\",class:{\"is-active\":_vm.filterValue===undefined||_vm.filterValue===null},on:{click:function($event){_vm.handleSelect(null);}}},[_vm._v(_vm._s(_vm.t(\"el.table.clearFilter\")))]),_vm._l(_vm.filters,function(filter){return _c(\"li\",{key:filter.value,staticClass:\"el-table-filter__list-item\",class:{\"is-active\":_vm.isActive(filter)},attrs:{label:filter.value},on:{click:function($event){_vm.handleSelect(filter.value);}}},[_vm._v(_vm._s(filter.text))]);})],2)])]);};var filter_panelvue_type_template_id_7f2c919f_staticRenderFns=[];filter_panelvue_type_template_id_7f2c919f_render._withStripped=true;// CONCATENATED MODULE: ./packages/table/src/filter-panel.vue?vue&type=template&id=7f2c919f&\n// CONCATENATED MODULE: ./packages/table/src/dropdown.js\nvar dropdowns=[];!external_vue_default.a.prototype.$isServer&&document.addEventListener('click',function(event){dropdowns.forEach(function(dropdown){var target=event.target;if(!dropdown||!dropdown.$el)return;if(target===dropdown.$el||dropdown.$el.contains(target)){return;}dropdown.handleOutsideClick&&dropdown.handleOutsideClick(event);});});/* harmony default export */var src_dropdown={open:function open(instance){if(instance){dropdowns.push(instance);}},close:function close(instance){var index=dropdowns.indexOf(instance);if(index!==-1){dropdowns.splice(instance,1);}}};// EXTERNAL MODULE: external \"element-ui/lib/checkbox-group\"\nvar checkbox_group_=__nested_webpack_require_8056__(32);var checkbox_group_default=/*#__PURE__*/__nested_webpack_require_8056__.n(checkbox_group_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/table/src/filter-panel.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var filter_panelvue_type_script_lang_js_={name:'ElTableFilterPanel',mixins:[vue_popper_default.a,locale_default.a],directives:{Clickoutside:clickoutside_default.a},components:{ElCheckbox:checkbox_default.a,ElCheckboxGroup:checkbox_group_default.a,ElScrollbar:scrollbar_default.a},props:{placement:{type:String,default:'bottom-end'}},methods:{isActive:function isActive(filter){return filter.value===this.filterValue;},handleOutsideClick:function handleOutsideClick(){var _this=this;setTimeout(function(){_this.showPopper=false;},16);},handleConfirm:function handleConfirm(){this.confirmFilter(this.filteredValue);this.handleOutsideClick();},handleReset:function handleReset(){this.filteredValue=[];this.confirmFilter(this.filteredValue);this.handleOutsideClick();},handleSelect:function handleSelect(filterValue){this.filterValue=filterValue;if(typeof filterValue!=='undefined'&&filterValue!==null){this.confirmFilter(this.filteredValue);}else{this.confirmFilter([]);}this.handleOutsideClick();},confirmFilter:function confirmFilter(filteredValue){this.table.store.commit('filterChange',{column:this.column,values:filteredValue});this.table.store.updateAllSelected();}},data:function data(){return{table:null,cell:null,column:null};},computed:{filters:function filters(){return this.column&&this.column.filters;},filterValue:{get:function get(){return(this.column.filteredValue||[])[0];},set:function set(value){if(this.filteredValue){if(typeof value!=='undefined'&&value!==null){this.filteredValue.splice(0,1,value);}else{this.filteredValue.splice(0,1);}}}},filteredValue:{get:function get(){if(this.column){return this.column.filteredValue||[];}return[];},set:function set(value){if(this.column){this.column.filteredValue=value;}}},multiple:function multiple(){if(this.column){return this.column.filterMultiple;}return true;}},mounted:function mounted(){var _this2=this;this.popperElm=this.$el;this.referenceElm=this.cell;this.table.bodyWrapper.addEventListener('scroll',function(){_this2.updatePopper();});this.$watch('showPopper',function(value){if(_this2.column)_this2.column.filterOpened=value;if(value){src_dropdown.open(_this2);}else{src_dropdown.close(_this2);}});},watch:{showPopper:function showPopper(val){if(val===true&&parseInt(this.popperJS._popper.style.zIndex,10)<popup_[\"PopupManager\"].zIndex){this.popperJS._popper.style.zIndex=popup_[\"PopupManager\"].nextZIndex();}}}};// CONCATENATED MODULE: ./packages/table/src/filter-panel.vue?vue&type=script&lang=js&\n/* harmony default export */var src_filter_panelvue_type_script_lang_js_=filter_panelvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/table/src/filter-panel.vue\n/* normalize component */var filter_panel_component=normalizeComponent(src_filter_panelvue_type_script_lang_js_,filter_panelvue_type_template_id_7f2c919f_render,filter_panelvue_type_template_id_7f2c919f_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var filter_panel_api; }filter_panel_component.options.__file=\"packages/table/src/filter-panel.vue\";/* harmony default export */var filter_panel=filter_panel_component.exports;// CONCATENATED MODULE: ./packages/table/src/table-header.js\nvar table_header_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};var getAllColumns=function getAllColumns(columns){var result=[];columns.forEach(function(column){if(column.children){result.push(column);result.push.apply(result,getAllColumns(column.children));}else{result.push(column);}});return result;};var convertToRows=function convertToRows(originColumns){var maxLevel=1;var traverse=function traverse(column,parent){if(parent){column.level=parent.level+1;if(maxLevel<column.level){maxLevel=column.level;}}if(column.children){var colSpan=0;column.children.forEach(function(subColumn){traverse(subColumn,column);colSpan+=subColumn.colSpan;});column.colSpan=colSpan;}else{column.colSpan=1;}};originColumns.forEach(function(column){column.level=1;traverse(column);});var rows=[];for(var i=0;i<maxLevel;i++){rows.push([]);}var allColumns=getAllColumns(originColumns);allColumns.forEach(function(column){if(!column.children){column.rowSpan=maxLevel-column.level+1;}else{column.rowSpan=1;}rows[column.level-1].push(column);});return rows;};/* harmony default export */var table_header={name:'ElTableHeader',mixins:[layout_observer],render:function render(h){var _this=this;var originColumns=this.store.states.originColumns;var columnRows=convertToRows(originColumns,this.columns);// 是否拥有多级表头\nvar isGroup=columnRows.length>1;if(isGroup)this.$parent.isGroup=true;return h('table',{'class':'el-table__header',attrs:{cellspacing:'0',cellpadding:'0',border:'0'}},[h('colgroup',[this.columns.map(function(column){return h('col',{attrs:{name:column.id},key:column.id});}),this.hasGutter?h('col',{attrs:{name:'gutter'}}):'']),h('thead',{'class':[{'is-group':isGroup,'has-gutter':this.hasGutter}]},[this._l(columnRows,function(columns,rowIndex){return h('tr',{style:_this.getHeaderRowStyle(rowIndex),'class':_this.getHeaderRowClass(rowIndex)},[columns.map(function(column,cellIndex){return h('th',{attrs:{colspan:column.colSpan,rowspan:column.rowSpan},on:{'mousemove':function mousemove($event){return _this.handleMouseMove($event,column);},'mouseout':_this.handleMouseOut,'mousedown':function mousedown($event){return _this.handleMouseDown($event,column);},'click':function click($event){return _this.handleHeaderClick($event,column);},'contextmenu':function contextmenu($event){return _this.handleHeaderContextMenu($event,column);}},style:_this.getHeaderCellStyle(rowIndex,cellIndex,columns,column),'class':_this.getHeaderCellClass(rowIndex,cellIndex,columns,column),key:column.id},[h('div',{'class':['cell',column.filteredValue&&column.filteredValue.length>0?'highlight':'',column.labelClassName]},[column.renderHeader?column.renderHeader.call(_this._renderProxy,h,{column:column,$index:cellIndex,store:_this.store,_self:_this.$parent.$vnode.context}):column.label,column.sortable?h('span',{'class':'caret-wrapper',on:{'click':function click($event){return _this.handleSortClick($event,column);}}},[h('i',{'class':'sort-caret ascending',on:{'click':function click($event){return _this.handleSortClick($event,column,'ascending');}}}),h('i',{'class':'sort-caret descending',on:{'click':function click($event){return _this.handleSortClick($event,column,'descending');}}})]):'',column.filterable?h('span',{'class':'el-table__column-filter-trigger',on:{'click':function click($event){return _this.handleFilterClick($event,column);}}},[h('i',{'class':['el-icon-arrow-down',column.filterOpened?'el-icon-arrow-up':'']})]):''])]);}),_this.hasGutter?h('th',{'class':'el-table__cell gutter'}):'']);})])]);},props:{fixed:String,store:{required:true},border:Boolean,defaultSort:{type:Object,default:function _default(){return{prop:'',order:''};}}},components:{ElCheckbox:checkbox_default.a},computed:table_header_extends({table:function table(){return this.$parent;},hasGutter:function hasGutter(){return!this.fixed&&this.tableLayout.gutterWidth;}},mapStates({columns:'columns',isAllSelected:'isAllSelected',leftFixedLeafCount:'fixedLeafColumnsLength',rightFixedLeafCount:'rightFixedLeafColumnsLength',columnsCount:function columnsCount(states){return states.columns.length;},leftFixedCount:function leftFixedCount(states){return states.fixedColumns.length;},rightFixedCount:function rightFixedCount(states){return states.rightFixedColumns.length;}})),created:function created(){this.filterPanels={};},mounted:function mounted(){var _this2=this;// nextTick 是有必要的 https://github.com/ElemeFE/element/pull/11311\nthis.$nextTick(function(){var _defaultSort=_this2.defaultSort,prop=_defaultSort.prop,order=_defaultSort.order;var init=true;_this2.store.commit('sort',{prop:prop,order:order,init:init});});},beforeDestroy:function beforeDestroy(){var panels=this.filterPanels;for(var prop in panels){if(panels.hasOwnProperty(prop)&&panels[prop]){panels[prop].$destroy(true);}}},methods:{isCellHidden:function isCellHidden(index,columns){var start=0;for(var i=0;i<index;i++){start+=columns[i].colSpan;}var after=start+columns[index].colSpan-1;if(this.fixed===true||this.fixed==='left'){return after>=this.leftFixedLeafCount;}else if(this.fixed==='right'){return start<this.columnsCount-this.rightFixedLeafCount;}else{return after<this.leftFixedLeafCount||start>=this.columnsCount-this.rightFixedLeafCount;}},getHeaderRowStyle:function getHeaderRowStyle(rowIndex){var headerRowStyle=this.table.headerRowStyle;if(typeof headerRowStyle==='function'){return headerRowStyle.call(null,{rowIndex:rowIndex});}return headerRowStyle;},getHeaderRowClass:function getHeaderRowClass(rowIndex){var classes=[];var headerRowClassName=this.table.headerRowClassName;if(typeof headerRowClassName==='string'){classes.push(headerRowClassName);}else if(typeof headerRowClassName==='function'){classes.push(headerRowClassName.call(null,{rowIndex:rowIndex}));}return classes.join(' ');},getHeaderCellStyle:function getHeaderCellStyle(rowIndex,columnIndex,row,column){var headerCellStyle=this.table.headerCellStyle;if(typeof headerCellStyle==='function'){return headerCellStyle.call(null,{rowIndex:rowIndex,columnIndex:columnIndex,row:row,column:column});}return headerCellStyle;},getHeaderCellClass:function getHeaderCellClass(rowIndex,columnIndex,row,column){var classes=[column.id,column.order,column.headerAlign,column.className,column.labelClassName];if(rowIndex===0&&this.isCellHidden(columnIndex,row)){classes.push('is-hidden');}if(!column.children){classes.push('is-leaf');}if(column.sortable){classes.push('is-sortable');}var headerCellClassName=this.table.headerCellClassName;if(typeof headerCellClassName==='string'){classes.push(headerCellClassName);}else if(typeof headerCellClassName==='function'){classes.push(headerCellClassName.call(null,{rowIndex:rowIndex,columnIndex:columnIndex,row:row,column:column}));}classes.push('el-table__cell');return classes.join(' ');},toggleAllSelection:function toggleAllSelection(){this.store.commit('toggleAllSelection');},handleFilterClick:function handleFilterClick(event,column){event.stopPropagation();var target=event.target;var cell=target.tagName==='TH'?target:target.parentNode;if(Object(dom_[\"hasClass\"])(cell,'noclick'))return;cell=cell.querySelector('.el-table__column-filter-trigger')||cell;var table=this.$parent;var filterPanel=this.filterPanels[column.id];if(filterPanel&&column.filterOpened){filterPanel.showPopper=false;return;}if(!filterPanel){filterPanel=new external_vue_default.a(filter_panel);this.filterPanels[column.id]=filterPanel;if(column.filterPlacement){filterPanel.placement=column.filterPlacement;}filterPanel.table=table;filterPanel.cell=cell;filterPanel.column=column;!this.$isServer&&filterPanel.$mount(document.createElement('div'));}setTimeout(function(){filterPanel.showPopper=true;},16);},handleHeaderClick:function handleHeaderClick(event,column){if(!column.filters&&column.sortable){this.handleSortClick(event,column);}else if(column.filterable&&!column.sortable){this.handleFilterClick(event,column);}this.$parent.$emit('header-click',column,event);},handleHeaderContextMenu:function handleHeaderContextMenu(event,column){this.$parent.$emit('header-contextmenu',column,event);},handleMouseDown:function handleMouseDown(event,column){var _this3=this;if(this.$isServer)return;if(column.children&&column.children.length>0)return;/* istanbul ignore if */if(this.draggingColumn&&this.border){this.dragging=true;this.$parent.resizeProxyVisible=true;var table=this.$parent;var tableEl=table.$el;var tableLeft=tableEl.getBoundingClientRect().left;var columnEl=this.$el.querySelector('th.'+column.id);var columnRect=columnEl.getBoundingClientRect();var minLeft=columnRect.left-tableLeft+30;Object(dom_[\"addClass\"])(columnEl,'noclick');this.dragState={startMouseLeft:event.clientX,startLeft:columnRect.right-tableLeft,startColumnLeft:columnRect.left-tableLeft,tableLeft:tableLeft};var resizeProxy=table.$refs.resizeProxy;resizeProxy.style.left=this.dragState.startLeft+'px';document.onselectstart=function(){return false;};document.ondragstart=function(){return false;};var handleMouseMove=function handleMouseMove(event){var deltaLeft=event.clientX-_this3.dragState.startMouseLeft;var proxyLeft=_this3.dragState.startLeft+deltaLeft;resizeProxy.style.left=Math.max(minLeft,proxyLeft)+'px';};var handleMouseUp=function handleMouseUp(){if(_this3.dragging){var _dragState=_this3.dragState,startColumnLeft=_dragState.startColumnLeft,startLeft=_dragState.startLeft;var finalLeft=parseInt(resizeProxy.style.left,10);var columnWidth=finalLeft-startColumnLeft;column.width=column.realWidth=columnWidth;table.$emit('header-dragend',column.width,startLeft-startColumnLeft,column,event);_this3.store.scheduleLayout();document.body.style.cursor='';_this3.dragging=false;_this3.draggingColumn=null;_this3.dragState={};table.resizeProxyVisible=false;}document.removeEventListener('mousemove',handleMouseMove);document.removeEventListener('mouseup',handleMouseUp);document.onselectstart=null;document.ondragstart=null;setTimeout(function(){Object(dom_[\"removeClass\"])(columnEl,'noclick');},0);};document.addEventListener('mousemove',handleMouseMove);document.addEventListener('mouseup',handleMouseUp);}},handleMouseMove:function handleMouseMove(event,column){if(column.children&&column.children.length>0)return;var target=event.target;while(target&&target.tagName!=='TH'){target=target.parentNode;}if(!column||!column.resizable)return;if(!this.dragging&&this.border){var rect=target.getBoundingClientRect();var bodyStyle=document.body.style;if(rect.width>12&&rect.right-event.pageX<8){bodyStyle.cursor='col-resize';if(Object(dom_[\"hasClass\"])(target,'is-sortable')){target.style.cursor='col-resize';}this.draggingColumn=column;}else if(!this.dragging){bodyStyle.cursor='';if(Object(dom_[\"hasClass\"])(target,'is-sortable')){target.style.cursor='pointer';}this.draggingColumn=null;}}},handleMouseOut:function handleMouseOut(){if(this.$isServer)return;document.body.style.cursor='';},toggleOrder:function toggleOrder(_ref){var order=_ref.order,sortOrders=_ref.sortOrders;if(order==='')return sortOrders[0];var index=sortOrders.indexOf(order||null);return sortOrders[index>sortOrders.length-2?0:index+1];},handleSortClick:function handleSortClick(event,column,givenOrder){event.stopPropagation();var order=column.order===givenOrder?null:givenOrder||this.toggleOrder(column);var target=event.target;while(target&&target.tagName!=='TH'){target=target.parentNode;}if(target&&target.tagName==='TH'){if(Object(dom_[\"hasClass\"])(target,'noclick')){Object(dom_[\"removeClass\"])(target,'noclick');return;}}if(!column.sortable)return;var states=this.store.states;var sortProp=states.sortProp;var sortOrder=void 0;var sortingColumn=states.sortingColumn;if(sortingColumn!==column||sortingColumn===column&&sortingColumn.order===null){if(sortingColumn){sortingColumn.order=null;}states.sortingColumn=column;sortProp=column.property;}if(!order){sortOrder=column.order=null;}else{sortOrder=column.order=order;}states.sortProp=sortProp;states.sortOrder=sortOrder;this.store.commit('changeSortCondition');}},data:function data(){return{draggingColumn:null,dragging:false,dragState:{}};}};// CONCATENATED MODULE: ./packages/table/src/table-footer.js\nvar table_footer_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};/* harmony default export */var table_footer={name:'ElTableFooter',mixins:[layout_observer],render:function render(h){var _this=this;var sums=[];if(this.summaryMethod){sums=this.summaryMethod({columns:this.columns,data:this.store.states.data});}else{this.columns.forEach(function(column,index){if(index===0){sums[index]=_this.sumText;return;}var values=_this.store.states.data.map(function(item){return Number(item[column.property]);});var precisions=[];var notNumber=true;values.forEach(function(value){if(!isNaN(value)){notNumber=false;var decimal=(''+value).split('.')[1];precisions.push(decimal?decimal.length:0);}});var precision=Math.max.apply(null,precisions);if(!notNumber){sums[index]=values.reduce(function(prev,curr){var value=Number(curr);if(!isNaN(value)){return parseFloat((prev+curr).toFixed(Math.min(precision,20)));}else{return prev;}},0);}else{sums[index]='';}});}return h('table',{'class':'el-table__footer',attrs:{cellspacing:'0',cellpadding:'0',border:'0'}},[h('colgroup',[this.columns.map(function(column){return h('col',{attrs:{name:column.id},key:column.id});}),this.hasGutter?h('col',{attrs:{name:'gutter'}}):'']),h('tbody',{'class':[{'has-gutter':this.hasGutter}]},[h('tr',[this.columns.map(function(column,cellIndex){return h('td',{key:cellIndex,attrs:{colspan:column.colSpan,rowspan:column.rowSpan},'class':[].concat(_this.getRowClasses(column,cellIndex),['el-table__cell'])},[h('div',{'class':['cell',column.labelClassName]},[sums[cellIndex]])]);}),this.hasGutter?h('th',{'class':'el-table__cell gutter'}):''])])]);},props:{fixed:String,store:{required:true},summaryMethod:Function,sumText:String,border:Boolean,defaultSort:{type:Object,default:function _default(){return{prop:'',order:''};}}},computed:table_footer_extends({table:function table(){return this.$parent;},hasGutter:function hasGutter(){return!this.fixed&&this.tableLayout.gutterWidth;}},mapStates({columns:'columns',isAllSelected:'isAllSelected',leftFixedLeafCount:'fixedLeafColumnsLength',rightFixedLeafCount:'rightFixedLeafColumnsLength',columnsCount:function columnsCount(states){return states.columns.length;},leftFixedCount:function leftFixedCount(states){return states.fixedColumns.length;},rightFixedCount:function rightFixedCount(states){return states.rightFixedColumns.length;}})),methods:{isCellHidden:function isCellHidden(index,columns,column){if(this.fixed===true||this.fixed==='left'){return index>=this.leftFixedLeafCount;}else if(this.fixed==='right'){var before=0;for(var i=0;i<index;i++){before+=columns[i].colSpan;}return before<this.columnsCount-this.rightFixedLeafCount;}else if(!this.fixed&&column.fixed){// hide cell when footer instance is not fixed and column is fixed\nreturn true;}else{return index<this.leftFixedCount||index>=this.columnsCount-this.rightFixedCount;}},getRowClasses:function getRowClasses(column,cellIndex){var classes=[column.id,column.align,column.labelClassName];if(column.className){classes.push(column.className);}if(this.isCellHidden(cellIndex,this.columns,column)){classes.push('is-hidden');}if(!column.children){classes.push('is-leaf');}return classes;}}};// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/table/src/table.vue?vue&type=script&lang=js&\nvar tablevue_type_script_lang_js_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar tableIdSeed=1;/* harmony default export */var tablevue_type_script_lang_js_={name:'ElTable',mixins:[locale_default.a,migrating_default.a],directives:{Mousewheel:directives_mousewheel},props:{data:{type:Array,default:function _default(){return[];}},size:String,width:[String,Number],height:[String,Number],maxHeight:[String,Number],fit:{type:Boolean,default:true},stripe:Boolean,border:Boolean,rowKey:[String,Function],context:{},showHeader:{type:Boolean,default:true},showSummary:Boolean,sumText:String,summaryMethod:Function,rowClassName:[String,Function],rowStyle:[Object,Function],cellClassName:[String,Function],cellStyle:[Object,Function],headerRowClassName:[String,Function],headerRowStyle:[Object,Function],headerCellClassName:[String,Function],headerCellStyle:[Object,Function],highlightCurrentRow:Boolean,currentRowKey:[String,Number],emptyText:String,expandRowKeys:Array,defaultExpandAll:Boolean,defaultSort:Object,tooltipEffect:String,spanMethod:Function,selectOnIndeterminate:{type:Boolean,default:true},indent:{type:Number,default:16},treeProps:{type:Object,default:function _default(){return{hasChildren:'hasChildren',children:'children'};}},lazy:Boolean,load:Function},components:{TableHeader:table_header,TableFooter:table_footer,TableBody:table_body,ElCheckbox:checkbox_default.a},methods:{getMigratingConfig:function getMigratingConfig(){return{events:{expand:'expand is renamed to expand-change'}};},setCurrentRow:function setCurrentRow(row){this.store.commit('setCurrentRow',row);},toggleRowSelection:function toggleRowSelection(row,selected){this.store.toggleRowSelection(row,selected,false);this.store.updateAllSelected();},toggleRowExpansion:function toggleRowExpansion(row,expanded){this.store.toggleRowExpansionAdapter(row,expanded);},clearSelection:function clearSelection(){this.store.clearSelection();},clearFilter:function clearFilter(columnKeys){this.store.clearFilter(columnKeys);},clearSort:function clearSort(){this.store.clearSort();},handleMouseLeave:function handleMouseLeave(){this.store.commit('setHoverRow',null);if(this.hoverState)this.hoverState=null;},updateScrollY:function updateScrollY(){var changed=this.layout.updateScrollY();if(changed){this.layout.notifyObservers('scrollable');this.layout.updateColumnsWidth();}},handleFixedMousewheel:function handleFixedMousewheel(event,data){var bodyWrapper=this.bodyWrapper;if(Math.abs(data.spinY)>0){var currentScrollTop=bodyWrapper.scrollTop;if(data.pixelY<0&&currentScrollTop!==0){event.preventDefault();}if(data.pixelY>0&&bodyWrapper.scrollHeight-bodyWrapper.clientHeight>currentScrollTop){event.preventDefault();}bodyWrapper.scrollTop+=Math.ceil(data.pixelY/5);}else{bodyWrapper.scrollLeft+=Math.ceil(data.pixelX/5);}},handleHeaderFooterMousewheel:function handleHeaderFooterMousewheel(event,data){var pixelX=data.pixelX,pixelY=data.pixelY;if(Math.abs(pixelX)>=Math.abs(pixelY)){this.bodyWrapper.scrollLeft+=data.pixelX/5;}},// TODO 使用 CSS transform\nsyncPostion:function syncPostion(){var _bodyWrapper=this.bodyWrapper,scrollLeft=_bodyWrapper.scrollLeft,scrollTop=_bodyWrapper.scrollTop,offsetWidth=_bodyWrapper.offsetWidth,scrollWidth=_bodyWrapper.scrollWidth;var _$refs=this.$refs,headerWrapper=_$refs.headerWrapper,footerWrapper=_$refs.footerWrapper,fixedBodyWrapper=_$refs.fixedBodyWrapper,rightFixedBodyWrapper=_$refs.rightFixedBodyWrapper;if(headerWrapper)headerWrapper.scrollLeft=scrollLeft;if(footerWrapper)footerWrapper.scrollLeft=scrollLeft;if(fixedBodyWrapper)fixedBodyWrapper.scrollTop=scrollTop;if(rightFixedBodyWrapper)rightFixedBodyWrapper.scrollTop=scrollTop;var maxScrollLeftPosition=scrollWidth-offsetWidth-1;if(scrollLeft>=maxScrollLeftPosition){this.scrollPosition='right';}else if(scrollLeft===0){this.scrollPosition='left';}else{this.scrollPosition='middle';}},throttleSyncPostion:Object(external_throttle_debounce_[\"throttle\"])(16,function(){this.syncPostion();}),onScroll:function onScroll(evt){var raf=window.requestAnimationFrame;if(!raf){this.throttleSyncPostion();}else{raf(this.syncPostion);}},bindEvents:function bindEvents(){this.bodyWrapper.addEventListener('scroll',this.onScroll,{passive:true});if(this.fit){Object(resize_event_[\"addResizeListener\"])(this.$el,this.resizeListener);}},unbindEvents:function unbindEvents(){this.bodyWrapper.removeEventListener('scroll',this.onScroll,{passive:true});if(this.fit){Object(resize_event_[\"removeResizeListener\"])(this.$el,this.resizeListener);}},resizeListener:function resizeListener(){if(!this.$ready)return;var shouldUpdateLayout=false;var el=this.$el;var _resizeState=this.resizeState,oldWidth=_resizeState.width,oldHeight=_resizeState.height;var width=el.offsetWidth;if(oldWidth!==width){shouldUpdateLayout=true;}var height=el.offsetHeight;if((this.height||this.shouldUpdateHeight)&&oldHeight!==height){shouldUpdateLayout=true;}if(shouldUpdateLayout){this.resizeState.width=width;this.resizeState.height=height;this.doLayout();}},doLayout:function doLayout(){if(this.shouldUpdateHeight){this.layout.updateElsHeight();}this.layout.updateColumnsWidth();},sort:function sort(prop,order){this.store.commit('sort',{prop:prop,order:order});},toggleAllSelection:function toggleAllSelection(){this.store.commit('toggleAllSelection');}},computed:tablevue_type_script_lang_js_extends({tableSize:function tableSize(){return this.size||(this.$ELEMENT||{}).size;},bodyWrapper:function bodyWrapper(){return this.$refs.bodyWrapper;},shouldUpdateHeight:function shouldUpdateHeight(){return this.height||this.maxHeight||this.fixedColumns.length>0||this.rightFixedColumns.length>0;},bodyWidth:function bodyWidth(){var _layout=this.layout,bodyWidth=_layout.bodyWidth,scrollY=_layout.scrollY,gutterWidth=_layout.gutterWidth;return bodyWidth?bodyWidth-(scrollY?gutterWidth:0)+'px':'';},bodyHeight:function bodyHeight(){var _layout2=this.layout,_layout2$headerHeight=_layout2.headerHeight,headerHeight=_layout2$headerHeight===undefined?0:_layout2$headerHeight,bodyHeight=_layout2.bodyHeight,_layout2$footerHeight=_layout2.footerHeight,footerHeight=_layout2$footerHeight===undefined?0:_layout2$footerHeight;if(this.height){return{height:bodyHeight?bodyHeight+'px':''};}else if(this.maxHeight){var maxHeight=parseHeight(this.maxHeight);if(typeof maxHeight==='number'){return{'max-height':maxHeight-footerHeight-(this.showHeader?headerHeight:0)+'px'};}}return{};},fixedBodyHeight:function fixedBodyHeight(){if(this.height){return{height:this.layout.fixedBodyHeight?this.layout.fixedBodyHeight+'px':''};}else if(this.maxHeight){var maxHeight=parseHeight(this.maxHeight);if(typeof maxHeight==='number'){maxHeight=this.layout.scrollX?maxHeight-this.layout.gutterWidth:maxHeight;if(this.showHeader){maxHeight-=this.layout.headerHeight;}maxHeight-=this.layout.footerHeight;return{'max-height':maxHeight+'px'};}}return{};},fixedHeight:function fixedHeight(){if(this.maxHeight){if(this.showSummary){return{bottom:0};}return{bottom:this.layout.scrollX&&this.data.length?this.layout.gutterWidth+'px':''};}else{if(this.showSummary){return{height:this.layout.tableHeight?this.layout.tableHeight+'px':''};}return{height:this.layout.viewportHeight?this.layout.viewportHeight+'px':''};}},emptyBlockStyle:function emptyBlockStyle(){if(this.data&&this.data.length)return null;var height='100%';if(this.layout.appendHeight){height='calc(100% - '+this.layout.appendHeight+'px)';}return{width:this.bodyWidth,height:height};}},mapStates({selection:'selection',columns:'columns',tableData:'data',fixedColumns:'fixedColumns',rightFixedColumns:'rightFixedColumns'})),watch:{height:{immediate:true,handler:function handler(value){this.layout.setHeight(value);}},maxHeight:{immediate:true,handler:function handler(value){this.layout.setMaxHeight(value);}},currentRowKey:{immediate:true,handler:function handler(value){if(!this.rowKey)return;this.store.setCurrentRowKey(value);}},data:{immediate:true,handler:function handler(value){this.store.commit('setData',value);}},expandRowKeys:{immediate:true,handler:function handler(newVal){if(newVal){this.store.setExpandRowKeysAdapter(newVal);}}}},created:function created(){var _this=this;this.tableId='el-table_'+tableIdSeed++;this.debouncedUpdateLayout=Object(external_throttle_debounce_[\"debounce\"])(50,function(){return _this.doLayout();});},mounted:function mounted(){var _this2=this;this.bindEvents();this.store.updateColumns();this.doLayout();this.resizeState={width:this.$el.offsetWidth,height:this.$el.offsetHeight};// init filters\nthis.store.states.columns.forEach(function(column){if(column.filteredValue&&column.filteredValue.length){_this2.store.commit('filterChange',{column:column,values:column.filteredValue,silent:true});}});this.$ready=true;},destroyed:function destroyed(){this.unbindEvents();},data:function data(){var _treeProps=this.treeProps,_treeProps$hasChildre=_treeProps.hasChildren,hasChildren=_treeProps$hasChildre===undefined?'hasChildren':_treeProps$hasChildre,_treeProps$children=_treeProps.children,children=_treeProps$children===undefined?'children':_treeProps$children;this.store=createStore(this,{rowKey:this.rowKey,defaultExpandAll:this.defaultExpandAll,selectOnIndeterminate:this.selectOnIndeterminate,// TreeTable 的相关配置\nindent:this.indent,lazy:this.lazy,lazyColumnIdentifier:hasChildren,childrenColumnName:children});var layout=new table_layout({store:this.store,table:this,fit:this.fit,showHeader:this.showHeader});return{layout:layout,isHidden:false,renderExpanded:null,resizeProxyVisible:false,resizeState:{width:null,height:null},// 是否拥有多级表头\nisGroup:false,scrollPosition:'left'};}};// CONCATENATED MODULE: ./packages/table/src/table.vue?vue&type=script&lang=js&\n/* harmony default export */var src_tablevue_type_script_lang_js_=tablevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/table/src/table.vue\n/* normalize component */var table_component=normalizeComponent(src_tablevue_type_script_lang_js_,tablevue_type_template_id_493fe34e_render,tablevue_type_template_id_493fe34e_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var table_api; }table_component.options.__file=\"packages/table/src/table.vue\";/* harmony default export */var src_table=table_component.exports;// CONCATENATED MODULE: ./packages/table/index.js\n/* istanbul ignore next */src_table.install=function(Vue){Vue.component(src_table.name,src_table);};/* harmony default export */var packages_table=src_table;// CONCATENATED MODULE: ./packages/table/src/config.js\nvar cellStarts={default:{order:''},selection:{width:48,minWidth:48,realWidth:48,order:'',className:'el-table-column--selection'},expand:{width:48,minWidth:48,realWidth:48,order:''},index:{width:48,minWidth:48,realWidth:48,order:''}};// 这些选项不应该被覆盖\nvar cellForced={selection:{renderHeader:function renderHeader(h,_ref){var store=_ref.store;return h('el-checkbox',{attrs:{disabled:store.states.data&&store.states.data.length===0,indeterminate:store.states.selection.length>0&&!this.isAllSelected,value:this.isAllSelected},on:{'input':this.toggleAllSelection}});},renderCell:function renderCell(h,_ref2){var row=_ref2.row,column=_ref2.column,isSelected=_ref2.isSelected,store=_ref2.store,$index=_ref2.$index;return h('el-checkbox',{nativeOn:{'click':function click(event){return event.stopPropagation();}},attrs:{value:isSelected,disabled:column.selectable?!column.selectable.call(null,row,$index):false},on:{'input':function input(){store.commit('rowSelectedChanged',row);}}});},sortable:false,resizable:false},index:{renderHeader:function renderHeader(h,_ref3){var column=_ref3.column;return column.label||'#';},renderCell:function renderCell(h,_ref4){var $index=_ref4.$index,column=_ref4.column;var i=$index+1;var index=column.index;if(typeof index==='number'){i=$index+index;}else if(typeof index==='function'){i=index($index);}return h('div',[i]);},sortable:false},expand:{renderHeader:function renderHeader(h,_ref5){var column=_ref5.column;return column.label||'';},renderCell:function renderCell(h,_ref6){var row=_ref6.row,store=_ref6.store,isExpanded=_ref6.isExpanded;var classes=['el-table__expand-icon'];if(isExpanded){classes.push('el-table__expand-icon--expanded');}var callback=function callback(e){e.stopPropagation();store.toggleRowExpansion(row);};return h('div',{'class':classes,on:{'click':callback}},[h('i',{'class':'el-icon el-icon-arrow-right'})]);},sortable:false,resizable:false,className:'el-table__expand-column'}};function defaultRenderCell(h,_ref7){var row=_ref7.row,column=_ref7.column,$index=_ref7.$index;var property=column.property;var value=property&&Object(util_[\"getPropByPath\"])(row,property).v;if(column&&column.formatter){return column.formatter(row,column,value,$index);}return value;}function treeCellPrefix(h,_ref8){var row=_ref8.row,treeNode=_ref8.treeNode,store=_ref8.store;if(!treeNode)return null;var ele=[];var callback=function callback(e){e.stopPropagation();store.loadOrToggle(row);};if(treeNode.indent){ele.push(h('span',{'class':'el-table__indent',style:{'padding-left':treeNode.indent+'px'}}));}if(typeof treeNode.expanded==='boolean'&&!treeNode.noLazyChildren){var expandClasses=['el-table__expand-icon',treeNode.expanded?'el-table__expand-icon--expanded':''];var iconClasses=['el-icon-arrow-right'];if(treeNode.loading){iconClasses=['el-icon-loading'];}ele.push(h('div',{'class':expandClasses,on:{'click':callback}},[h('i',{'class':iconClasses})]));}else{ele.push(h('span',{'class':'el-table__placeholder'}));}return ele;}// CONCATENATED MODULE: ./packages/table/src/table-column.js\nvar table_column_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};var columnIdSeed=1;/* harmony default export */var table_column={name:'ElTableColumn',props:{type:{type:String,default:'default'},label:String,className:String,labelClassName:String,property:String,prop:String,width:{},minWidth:{},renderHeader:Function,sortable:{type:[Boolean,String],default:false},sortMethod:Function,sortBy:[String,Function,Array],resizable:{type:Boolean,default:true},columnKey:String,align:String,headerAlign:String,showTooltipWhenOverflow:Boolean,showOverflowTooltip:Boolean,fixed:[Boolean,String],formatter:Function,selectable:Function,reserveSelection:Boolean,filterMethod:Function,filteredValue:Array,filters:Array,filterPlacement:String,filterMultiple:{type:Boolean,default:true},index:[Number,Function],sortOrders:{type:Array,default:function _default(){return['ascending','descending',null];},validator:function validator(val){return val.every(function(order){return['ascending','descending',null].indexOf(order)>-1;});}}},data:function data(){return{isSubColumn:false,columns:[]};},computed:{owner:function owner(){var parent=this.$parent;while(parent&&!parent.tableId){parent=parent.$parent;}return parent;},columnOrTableParent:function columnOrTableParent(){var parent=this.$parent;while(parent&&!parent.tableId&&!parent.columnId){parent=parent.$parent;}return parent;},realWidth:function realWidth(){return parseWidth(this.width);},realMinWidth:function realMinWidth(){return parseMinWidth(this.minWidth);},realAlign:function realAlign(){return this.align?'is-'+this.align:null;},realHeaderAlign:function realHeaderAlign(){return this.headerAlign?'is-'+this.headerAlign:this.realAlign;}},methods:{getPropsData:function getPropsData(){var _this=this;for(var _len=arguments.length,props=Array(_len),_key=0;_key<_len;_key++){props[_key]=arguments[_key];}return props.reduce(function(prev,cur){if(Array.isArray(cur)){cur.forEach(function(key){prev[key]=_this[key];});}return prev;},{});},getColumnElIndex:function getColumnElIndex(children,child){return[].indexOf.call(children,child);},setColumnWidth:function setColumnWidth(column){if(this.realWidth){column.width=this.realWidth;}if(this.realMinWidth){column.minWidth=this.realMinWidth;}if(!column.minWidth){column.minWidth=80;}column.realWidth=column.width===undefined?column.minWidth:column.width;return column;},setColumnForcedProps:function setColumnForcedProps(column){// 对于特定类型的 column，某些属性不允许设置\nvar type=column.type;var source=cellForced[type]||{};Object.keys(source).forEach(function(prop){var value=source[prop];if(value!==undefined){column[prop]=prop==='className'?column[prop]+' '+value:value;}});return column;},setColumnRenders:function setColumnRenders(column){var _this2=this;var h=this.$createElement;// renderHeader 属性不推荐使用。\nif(this.renderHeader){console.warn('[Element Warn][TableColumn]Comparing to render-header, scoped-slot header is easier to use. We recommend users to use scoped-slot header.');}else if(column.type!=='selection'){column.renderHeader=function(h,scope){var renderHeader=_this2.$scopedSlots.header;return renderHeader?renderHeader(scope):column.label;};}var originRenderCell=column.renderCell;// TODO: 这里的实现调整\nif(column.type==='expand'){// 对于展开行，renderCell 不允许配置的。在上一步中已经设置过，这里需要简单封装一下。\ncolumn.renderCell=function(h,data){return h('div',{'class':'cell'},[originRenderCell(h,data)]);};this.owner.renderExpanded=function(h,data){return _this2.$scopedSlots.default?_this2.$scopedSlots.default(data):_this2.$slots.default;};}else{originRenderCell=originRenderCell||defaultRenderCell;// 对 renderCell 进行包装\ncolumn.renderCell=function(h,data){var children=null;if(_this2.$scopedSlots.default){children=_this2.$scopedSlots.default(data);}else{children=originRenderCell(h,data);}var prefix=treeCellPrefix(h,data);var props={class:'cell',style:{}};if(column.showOverflowTooltip){props.class+=' el-tooltip';props.style={width:(data.column.realWidth||data.column.width)-1+'px'};}return h('div',props,[prefix,children]);};}return column;},registerNormalWatchers:function registerNormalWatchers(){var _this3=this;var props=['label','property','filters','filterMultiple','sortable','index','formatter','className','labelClassName','showOverflowTooltip'];// 一些属性具有别名\nvar aliases={prop:'property',realAlign:'align',realHeaderAlign:'headerAlign',realWidth:'width'};var allAliases=props.reduce(function(prev,cur){prev[cur]=cur;return prev;},aliases);Object.keys(allAliases).forEach(function(key){var columnKey=aliases[key];_this3.$watch(key,function(newVal){_this3.columnConfig[columnKey]=newVal;});});},registerComplexWatchers:function registerComplexWatchers(){var _this4=this;var props=['fixed'];var aliases={realWidth:'width',realMinWidth:'minWidth'};var allAliases=props.reduce(function(prev,cur){prev[cur]=cur;return prev;},aliases);Object.keys(allAliases).forEach(function(key){var columnKey=aliases[key];_this4.$watch(key,function(newVal){_this4.columnConfig[columnKey]=newVal;var updateColumns=columnKey==='fixed';_this4.owner.store.scheduleLayout(updateColumns);});});}},components:{ElCheckbox:checkbox_default.a},beforeCreate:function beforeCreate(){this.row={};this.column={};this.$index=0;this.columnId='';},created:function created(){var parent=this.columnOrTableParent;this.isSubColumn=this.owner!==parent;this.columnId=(parent.tableId||parent.columnId)+'_column_'+columnIdSeed++;var type=this.type||'default';var sortable=this.sortable===''?true:this.sortable;var defaults=table_column_extends({},cellStarts[type],{id:this.columnId,type:type,property:this.prop||this.property,align:this.realAlign,headerAlign:this.realHeaderAlign,showOverflowTooltip:this.showOverflowTooltip||this.showTooltipWhenOverflow,// filter 相关属性\nfilterable:this.filters||this.filterMethod,filteredValue:[],filterPlacement:'',isColumnGroup:false,filterOpened:false,// sort 相关属性\nsortable:sortable,// index 列\nindex:this.index});var basicProps=['columnKey','label','className','labelClassName','type','renderHeader','formatter','fixed','resizable'];var sortProps=['sortMethod','sortBy','sortOrders'];var selectProps=['selectable','reserveSelection'];var filterProps=['filterMethod','filters','filterMultiple','filterOpened','filteredValue','filterPlacement'];var column=this.getPropsData(basicProps,sortProps,selectProps,filterProps);column=mergeOptions(defaults,column);// 注意 compose 中函数执行的顺序是从右到左\nvar chains=compose(this.setColumnRenders,this.setColumnWidth,this.setColumnForcedProps);column=chains(column);this.columnConfig=column;// 注册 watcher\nthis.registerNormalWatchers();this.registerComplexWatchers();},mounted:function mounted(){var owner=this.owner;var parent=this.columnOrTableParent;var children=this.isSubColumn?parent.$el.children:parent.$refs.hiddenColumns.children;var columnIndex=this.getColumnElIndex(children,this.$el);owner.store.commit('insertColumn',this.columnConfig,columnIndex,this.isSubColumn?parent.columnConfig:null);},destroyed:function destroyed(){if(!this.$parent)return;var parent=this.$parent;this.owner.store.commit('removeColumn',this.columnConfig,this.isSubColumn?parent.columnConfig:null);},render:function render(h){// slots 也要渲染，需要计算合并表头\nreturn h('div',this.$slots.default);}};// CONCATENATED MODULE: ./packages/table-column/index.js\n/* istanbul ignore next */table_column.install=function(Vue){Vue.component(table_column.name,table_column);};/* harmony default export */var packages_table_column=table_column;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/picker.vue?vue&type=template&id=79ae069f&\nvar pickervue_type_template_id_79ae069f_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return!_vm.ranged?_c(\"el-input\",_vm._b({directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.handleClose,expression:\"handleClose\"}],ref:\"reference\",staticClass:\"el-date-editor\",class:\"el-date-editor--\"+_vm.type,attrs:{readonly:!_vm.editable||_vm.readonly||_vm.type===\"dates\"||_vm.type===\"week\"||_vm.type===\"years\"||_vm.type===\"months\",disabled:_vm.pickerDisabled,size:_vm.pickerSize,name:_vm.name,placeholder:_vm.placeholder,value:_vm.displayValue,validateEvent:false},on:{focus:_vm.handleFocus,input:function(value){return _vm.userInput=value;},change:_vm.handleChange},nativeOn:{keydown:function($event){return _vm.handleKeydown($event);},mouseenter:function($event){return _vm.handleMouseEnter($event);},mouseleave:function($event){_vm.showClose=false;}}},\"el-input\",_vm.firstInputId,false),[_c(\"i\",{staticClass:\"el-input__icon\",class:_vm.triggerClass,attrs:{slot:\"prefix\"},on:{click:_vm.handleFocus},slot:\"prefix\"}),_vm.haveTrigger?_c(\"i\",{staticClass:\"el-input__icon\",class:[_vm.showClose?\"\"+_vm.clearIcon:\"\"],attrs:{slot:\"suffix\"},on:{click:_vm.handleClickIcon},slot:\"suffix\"}):_vm._e()]):_c(\"div\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.handleClose,expression:\"handleClose\"}],ref:\"reference\",staticClass:\"el-date-editor el-range-editor el-input__inner\",class:[\"el-date-editor--\"+_vm.type,_vm.pickerSize?\"el-range-editor--\"+_vm.pickerSize:\"\",_vm.pickerDisabled?\"is-disabled\":\"\",_vm.pickerVisible?\"is-active\":\"\"],on:{click:_vm.handleRangeClick,mouseenter:_vm.handleMouseEnter,mouseleave:function($event){_vm.showClose=false;},keydown:_vm.handleKeydown}},[_c(\"i\",{class:[\"el-input__icon\",\"el-range__icon\",_vm.triggerClass]}),_c(\"input\",_vm._b({staticClass:\"el-range-input\",attrs:{autocomplete:\"off\",placeholder:_vm.startPlaceholder,disabled:_vm.pickerDisabled,readonly:!_vm.editable||_vm.readonly,name:_vm.name&&_vm.name[0]},domProps:{value:_vm.displayValue&&_vm.displayValue[0]},on:{input:_vm.handleStartInput,change:_vm.handleStartChange,focus:_vm.handleFocus}},\"input\",_vm.firstInputId,false)),_vm._t(\"range-separator\",[_c(\"span\",{staticClass:\"el-range-separator\"},[_vm._v(_vm._s(_vm.rangeSeparator))])]),_c(\"input\",_vm._b({staticClass:\"el-range-input\",attrs:{autocomplete:\"off\",placeholder:_vm.endPlaceholder,disabled:_vm.pickerDisabled,readonly:!_vm.editable||_vm.readonly,name:_vm.name&&_vm.name[1]},domProps:{value:_vm.displayValue&&_vm.displayValue[1]},on:{input:_vm.handleEndInput,change:_vm.handleEndChange,focus:_vm.handleFocus}},\"input\",_vm.secondInputId,false)),_vm.haveTrigger?_c(\"i\",{staticClass:\"el-input__icon el-range__close-icon\",class:[_vm.showClose?\"\"+_vm.clearIcon:\"\"],on:{click:_vm.handleClickIcon}}):_vm._e()],2);};var pickervue_type_template_id_79ae069f_staticRenderFns=[];pickervue_type_template_id_79ae069f_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/picker.vue?vue&type=template&id=79ae069f&\n// EXTERNAL MODULE: external \"element-ui/lib/utils/date-util\"\nvar date_util_=__nested_webpack_require_8056__(0);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/picker.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar NewPopper={props:{appendToBody:vue_popper_default.a.props.appendToBody,offset:vue_popper_default.a.props.offset,boundariesPadding:vue_popper_default.a.props.boundariesPadding,arrowOffset:vue_popper_default.a.props.arrowOffset,transformOrigin:vue_popper_default.a.props.transformOrigin},methods:vue_popper_default.a.methods,data:function data(){return merge_default()({visibleArrow:true},vue_popper_default.a.data);},beforeDestroy:vue_popper_default.a.beforeDestroy};var DEFAULT_FORMATS={date:'yyyy-MM-dd',month:'yyyy-MM',months:'yyyy-MM',datetime:'yyyy-MM-dd HH:mm:ss',time:'HH:mm:ss',week:'yyyywWW',timerange:'HH:mm:ss',daterange:'yyyy-MM-dd',monthrange:'yyyy-MM',datetimerange:'yyyy-MM-dd HH:mm:ss',year:'yyyy',years:'yyyy'};var HAVE_TRIGGER_TYPES=['date','datetime','time','time-select','week','month','year','daterange','monthrange','timerange','datetimerange','dates','months','years'];var pickervue_type_script_lang_js_DATE_FORMATTER=function DATE_FORMATTER(value,format){if(format==='timestamp')return value.getTime();return Object(date_util_[\"formatDate\"])(value,format);};var pickervue_type_script_lang_js_DATE_PARSER=function DATE_PARSER(text,format){if(format==='timestamp')return new Date(Number(text));return Object(date_util_[\"parseDate\"])(text,format);};var RANGE_FORMATTER=function RANGE_FORMATTER(value,format){if(Array.isArray(value)&&value.length===2){var start=value[0];var end=value[1];if(start&&end){return[pickervue_type_script_lang_js_DATE_FORMATTER(start,format),pickervue_type_script_lang_js_DATE_FORMATTER(end,format)];}}return'';};var RANGE_PARSER=function RANGE_PARSER(array,format,separator){if(!Array.isArray(array)){array=array.split(separator);}if(array.length===2){var range1=array[0];var range2=array[1];return[pickervue_type_script_lang_js_DATE_PARSER(range1,format),pickervue_type_script_lang_js_DATE_PARSER(range2,format)];}return[];};var TYPE_VALUE_RESOLVER_MAP={default:{formatter:function formatter(value){if(!value)return'';return''+value;},parser:function parser(text){if(text===undefined||text==='')return null;return text;}},week:{formatter:function formatter(value,format){var week=Object(date_util_[\"getWeekNumber\"])(value);var month=value.getMonth();var trueDate=new Date(value);if(week===1&&month===11){trueDate.setHours(0,0,0,0);trueDate.setDate(trueDate.getDate()+3-(trueDate.getDay()+6)%7);}var date=Object(date_util_[\"formatDate\"])(trueDate,format);date=/WW/.test(date)?date.replace(/WW/,week<10?'0'+week:week):date.replace(/W/,week);return date;},parser:function parser(text,format){// parse as if a normal date\nreturn TYPE_VALUE_RESOLVER_MAP.date.parser(text,format);}},date:{formatter:pickervue_type_script_lang_js_DATE_FORMATTER,parser:pickervue_type_script_lang_js_DATE_PARSER},datetime:{formatter:pickervue_type_script_lang_js_DATE_FORMATTER,parser:pickervue_type_script_lang_js_DATE_PARSER},daterange:{formatter:RANGE_FORMATTER,parser:RANGE_PARSER},monthrange:{formatter:RANGE_FORMATTER,parser:RANGE_PARSER},datetimerange:{formatter:RANGE_FORMATTER,parser:RANGE_PARSER},timerange:{formatter:RANGE_FORMATTER,parser:RANGE_PARSER},time:{formatter:pickervue_type_script_lang_js_DATE_FORMATTER,parser:pickervue_type_script_lang_js_DATE_PARSER},month:{formatter:pickervue_type_script_lang_js_DATE_FORMATTER,parser:pickervue_type_script_lang_js_DATE_PARSER},year:{formatter:pickervue_type_script_lang_js_DATE_FORMATTER,parser:pickervue_type_script_lang_js_DATE_PARSER},number:{formatter:function formatter(value){if(!value)return'';return''+value;},parser:function parser(text){var result=Number(text);if(!isNaN(text)){return result;}else{return null;}}},dates:{formatter:function formatter(value,format){return value.map(function(date){return pickervue_type_script_lang_js_DATE_FORMATTER(date,format);});},parser:function parser(value,format){return(typeof value==='string'?value.split(', '):value).map(function(date){return date instanceof Date?date:pickervue_type_script_lang_js_DATE_PARSER(date,format);});}},months:{formatter:function formatter(value,format){return value.map(function(date){return pickervue_type_script_lang_js_DATE_FORMATTER(date,format);});},parser:function parser(value,format){return(typeof value==='string'?value.split(', '):value).map(function(date){return date instanceof Date?date:pickervue_type_script_lang_js_DATE_PARSER(date,format);});}},years:{formatter:function formatter(value,format){return value.map(function(date){return pickervue_type_script_lang_js_DATE_FORMATTER(date,format);});},parser:function parser(value,format){return(typeof value==='string'?value.split(', '):value).map(function(date){return date instanceof Date?date:pickervue_type_script_lang_js_DATE_PARSER(date,format);});}}};var PLACEMENT_MAP={left:'bottom-start',center:'bottom',right:'bottom-end'};var parseAsFormatAndType=function parseAsFormatAndType(value,customFormat,type){var rangeSeparator=arguments.length>3&&arguments[3]!==undefined?arguments[3]:'-';if(!value)return null;var parser=(TYPE_VALUE_RESOLVER_MAP[type]||TYPE_VALUE_RESOLVER_MAP['default']).parser;var format=customFormat||DEFAULT_FORMATS[type];return parser(value,format,rangeSeparator);};var formatAsFormatAndType=function formatAsFormatAndType(value,customFormat,type){if(!value)return null;var formatter=(TYPE_VALUE_RESOLVER_MAP[type]||TYPE_VALUE_RESOLVER_MAP['default']).formatter;var format=customFormat||DEFAULT_FORMATS[type];return formatter(value,format);};/*\n * Considers:\n *   1. Date object\n *   2. date string\n *   3. array of 1 or 2\n */var valueEquals=function valueEquals(a,b){// considers Date object and string\nvar dateEquals=function dateEquals(a,b){var aIsDate=a instanceof Date;var bIsDate=b instanceof Date;if(aIsDate&&bIsDate){return a.getTime()===b.getTime();}if(!aIsDate&&!bIsDate){return a===b;}return false;};var aIsArray=a instanceof Array;var bIsArray=b instanceof Array;if(aIsArray&&bIsArray){if(a.length!==b.length){return false;}return a.every(function(item,index){return dateEquals(item,b[index]);});}if(!aIsArray&&!bIsArray){return dateEquals(a,b);}return false;};var isString=function isString(val){return typeof val==='string'||val instanceof String;};var pickervue_type_script_lang_js_validator=function validator(val){// either: String, Array of String, null / undefined\nreturn val===null||val===undefined||isString(val)||Array.isArray(val)&&val.length===2&&val.every(isString);};/* harmony default export */var pickervue_type_script_lang_js_={mixins:[emitter_default.a,NewPopper],inject:{elForm:{default:''},elFormItem:{default:''}},props:{size:String,format:String,valueFormat:String,readonly:Boolean,placeholder:String,startPlaceholder:String,endPlaceholder:String,prefixIcon:String,clearIcon:{type:String,default:'el-icon-circle-close'},name:{default:'',validator:pickervue_type_script_lang_js_validator},disabled:Boolean,clearable:{type:Boolean,default:true},id:{default:'',validator:pickervue_type_script_lang_js_validator},popperClass:String,editable:{type:Boolean,default:true},align:{type:String,default:'left'},value:{},defaultValue:{},defaultTime:{},rangeSeparator:{default:'-'},pickerOptions:{},unlinkPanels:Boolean,validateEvent:{type:Boolean,default:true}},components:{ElInput:input_default.a},directives:{Clickoutside:clickoutside_default.a},data:function data(){return{pickerVisible:false,showClose:false,userInput:null,valueOnOpen:null,// value when picker opens, used to determine whether to emit change\nunwatchPickerOptions:null};},watch:{pickerVisible:function pickerVisible(val){if(this.readonly||this.pickerDisabled)return;if(val){this.showPicker();this.valueOnOpen=Array.isArray(this.value)?[].concat(this.value):this.value;}else{this.hidePicker();this.emitChange(this.value);this.userInput=null;if(this.validateEvent){this.dispatch('ElFormItem','el.form.blur');}this.$emit('blur',this);this.blur();}},parsedValue:{immediate:true,handler:function handler(val){if(this.picker){this.picker.value=val;}}},defaultValue:function defaultValue(val){// NOTE: should eventually move to jsx style picker + panel ?\nif(this.picker){this.picker.defaultValue=val;}},value:function value(val,oldVal){if(!valueEquals(val,oldVal)&&!this.pickerVisible&&this.validateEvent){this.dispatch('ElFormItem','el.form.change',val);}}},computed:{ranged:function ranged(){return this.type.indexOf('range')>-1;},reference:function reference(){var reference=this.$refs.reference;return reference.$el||reference;},refInput:function refInput(){if(this.reference){return[].slice.call(this.reference.querySelectorAll('input'));}return[];},valueIsEmpty:function valueIsEmpty(){var val=this.value;if(Array.isArray(val)){for(var i=0,len=val.length;i<len;i++){if(val[i]){return false;}}}else{if(val){return false;}}return true;},triggerClass:function triggerClass(){return this.prefixIcon||(this.type.indexOf('time')!==-1?'el-icon-time':'el-icon-date');},selectionMode:function selectionMode(){if(this.type==='week'){return'week';}else if(this.type==='month'){return'month';}else if(this.type==='year'){return'year';}else if(this.type==='dates'){return'dates';}else if(this.type==='months'){return'months';}else if(this.type==='years'){return'years';}return'day';},haveTrigger:function haveTrigger(){if(typeof this.showTrigger!=='undefined'){return this.showTrigger;}return HAVE_TRIGGER_TYPES.indexOf(this.type)!==-1;},displayValue:function displayValue(){var formattedValue=formatAsFormatAndType(this.parsedValue,this.format,this.type,this.rangeSeparator);if(Array.isArray(this.userInput)){return[this.userInput[0]||formattedValue&&formattedValue[0]||'',this.userInput[1]||formattedValue&&formattedValue[1]||''];}else if(this.userInput!==null){return this.userInput;}else if(formattedValue){return this.type==='dates'||this.type==='years'||this.type==='months'?formattedValue.join(', '):formattedValue;}else{return'';}},parsedValue:function parsedValue(){if(!this.value)return this.value;// component value is not set\nif(this.type==='time-select')return this.value;// time-select does not require parsing, this might change in next major version\nvar valueIsDateObject=Object(date_util_[\"isDateObject\"])(this.value)||Array.isArray(this.value)&&this.value.every(date_util_[\"isDateObject\"]);if(valueIsDateObject){return this.value;}if(this.valueFormat){return parseAsFormatAndType(this.value,this.valueFormat,this.type,this.rangeSeparator)||this.value;}// NOTE: deal with common but incorrect usage, should remove in next major version\n// user might provide string / timestamp without value-format, coerce them into date (or array of date)\nreturn Array.isArray(this.value)?this.value.map(function(val){return new Date(val);}):new Date(this.value);},_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},pickerSize:function pickerSize(){return this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;},pickerDisabled:function pickerDisabled(){return this.disabled||(this.elForm||{}).disabled;},firstInputId:function firstInputId(){var obj={};var id=void 0;if(this.ranged){id=this.id&&this.id[0];}else{id=this.id;}if(id)obj.id=id;return obj;},secondInputId:function secondInputId(){var obj={};var id=void 0;if(this.ranged){id=this.id&&this.id[1];}if(id)obj.id=id;return obj;}},created:function created(){// vue-popper\nthis.popperOptions={boundariesPadding:0,gpuAcceleration:false};this.placement=PLACEMENT_MAP[this.align]||PLACEMENT_MAP.left;this.$on('fieldReset',this.handleFieldReset);},methods:{focus:function focus(){if(!this.ranged){this.$refs.reference.focus();}else{this.handleFocus();}},blur:function blur(){this.refInput.forEach(function(input){return input.blur();});},// {parse, formatTo} Value deals maps component value with internal Date\nparseValue:function parseValue(value){var isParsed=Object(date_util_[\"isDateObject\"])(value)||Array.isArray(value)&&value.every(date_util_[\"isDateObject\"]);if(this.valueFormat&&!isParsed){return parseAsFormatAndType(value,this.valueFormat,this.type,this.rangeSeparator)||value;}else{return value;}},formatToValue:function formatToValue(date){var isFormattable=Object(date_util_[\"isDateObject\"])(date)||Array.isArray(date)&&date.every(date_util_[\"isDateObject\"]);if(this.valueFormat&&isFormattable){return formatAsFormatAndType(date,this.valueFormat,this.type,this.rangeSeparator);}else{return date;}},// {parse, formatTo} String deals with user input\nparseString:function parseString(value){var type=Array.isArray(value)?this.type:this.type.replace('range','');return parseAsFormatAndType(value,this.format,type);},formatToString:function formatToString(value){var type=Array.isArray(value)?this.type:this.type.replace('range','');return formatAsFormatAndType(value,this.format,type);},handleMouseEnter:function handleMouseEnter(){if(this.readonly||this.pickerDisabled)return;if(!this.valueIsEmpty&&this.clearable){this.showClose=true;}},handleChange:function handleChange(){if(this.userInput){var value=this.parseString(this.displayValue);if(value){this.picker.value=value;if(this.isValidValue(value)){this.emitInput(value);this.userInput=null;}}}if(this.userInput===''){this.emitInput(null);this.emitChange(null);this.userInput=null;}},handleStartInput:function handleStartInput(event){if(this.userInput){this.userInput=[event.target.value,this.userInput[1]];}else{this.userInput=[event.target.value,null];}},handleEndInput:function handleEndInput(event){if(this.userInput){this.userInput=[this.userInput[0],event.target.value];}else{this.userInput=[null,event.target.value];}},handleStartChange:function handleStartChange(event){var value=this.parseString(this.userInput&&this.userInput[0]);if(value){this.userInput=[this.formatToString(value),this.displayValue[1]];var newValue=[value,this.picker.value&&this.picker.value[1]];this.picker.value=newValue;if(this.isValidValue(newValue)){this.emitInput(newValue);this.userInput=null;}}},handleEndChange:function handleEndChange(event){var value=this.parseString(this.userInput&&this.userInput[1]);if(value){this.userInput=[this.displayValue[0],this.formatToString(value)];var newValue=[this.picker.value&&this.picker.value[0],value];this.picker.value=newValue;if(this.isValidValue(newValue)){this.emitInput(newValue);this.userInput=null;}}},handleClickIcon:function handleClickIcon(event){if(this.readonly||this.pickerDisabled)return;if(this.showClose){this.valueOnOpen=this.value;event.stopPropagation();this.emitInput(null);this.emitChange(null);this.showClose=false;if(this.picker&&typeof this.picker.handleClear==='function'){this.picker.handleClear();}}else{this.pickerVisible=!this.pickerVisible;}},handleClose:function handleClose(){if(!this.pickerVisible)return;this.pickerVisible=false;if(this.type==='dates'||this.type==='years'||this.type==='months'){// restore to former value\nvar oldValue=parseAsFormatAndType(this.valueOnOpen,this.valueFormat,this.type,this.rangeSeparator)||this.valueOnOpen;this.emitInput(oldValue);}},handleFieldReset:function handleFieldReset(initialValue){this.userInput=initialValue===''?null:initialValue;},handleFocus:function handleFocus(){var type=this.type;if(HAVE_TRIGGER_TYPES.indexOf(type)!==-1&&!this.pickerVisible){this.pickerVisible=true;}this.$emit('focus',this);},handleKeydown:function handleKeydown(event){var _this=this;var keyCode=event.keyCode;// ESC\nif(keyCode===27){this.pickerVisible=false;event.stopPropagation();return;}// Tab\nif(keyCode===9){if(!this.ranged){this.handleChange();this.pickerVisible=this.picker.visible=false;this.blur();event.stopPropagation();}else{// user may change focus between two input\nsetTimeout(function(){if(_this.refInput.indexOf(document.activeElement)===-1){_this.pickerVisible=false;_this.blur();event.stopPropagation();}},0);}return;}// Enter\nif(keyCode===13){if(this.userInput===''||this.isValidValue(this.parseString(this.displayValue))){this.handleChange();this.pickerVisible=this.picker.visible=false;this.blur();}event.stopPropagation();return;}// if user is typing, do not let picker handle key input\nif(this.userInput){event.stopPropagation();return;}// delegate other keys to panel\nif(this.picker&&this.picker.handleKeydown){this.picker.handleKeydown(event);}},handleRangeClick:function handleRangeClick(){var type=this.type;if(HAVE_TRIGGER_TYPES.indexOf(type)!==-1&&!this.pickerVisible){this.pickerVisible=true;}this.$emit('focus',this);},hidePicker:function hidePicker(){if(this.picker){this.picker.resetView&&this.picker.resetView();this.pickerVisible=this.picker.visible=false;this.destroyPopper();}},showPicker:function showPicker(){var _this2=this;if(this.$isServer)return;if(!this.picker){this.mountPicker();}this.pickerVisible=this.picker.visible=true;this.updatePopper();this.picker.value=this.parsedValue;this.picker.resetView&&this.picker.resetView();this.$nextTick(function(){_this2.picker.adjustSpinners&&_this2.picker.adjustSpinners();});},mountPicker:function mountPicker(){var _this3=this;this.picker=new external_vue_default.a(this.panel).$mount();this.picker.defaultValue=this.defaultValue;this.picker.defaultTime=this.defaultTime;this.picker.popperClass=this.popperClass;this.popperElm=this.picker.$el;this.picker.width=this.reference.getBoundingClientRect().width;this.picker.showTime=this.type==='datetime'||this.type==='datetimerange';this.picker.selectionMode=this.selectionMode;this.picker.unlinkPanels=this.unlinkPanels;this.picker.arrowControl=this.arrowControl||this.timeArrowControl||false;this.$watch('format',function(format){_this3.picker.format=format;});var updateOptions=function updateOptions(){var options=_this3.pickerOptions;if(options&&options.selectableRange){var ranges=options.selectableRange;var parser=TYPE_VALUE_RESOLVER_MAP.datetimerange.parser;var format=DEFAULT_FORMATS.timerange;ranges=Array.isArray(ranges)?ranges:[ranges];_this3.picker.selectableRange=ranges.map(function(range){return parser(range,format,_this3.rangeSeparator);});}for(var option in options){if(options.hasOwnProperty(option)&&// 忽略 time-picker 的该配置项\noption!=='selectableRange'){_this3.picker[option]=options[option];}}// main format must prevail over undocumented pickerOptions.format\nif(_this3.format){_this3.picker.format=_this3.format;}};updateOptions();this.unwatchPickerOptions=this.$watch('pickerOptions',function(){return updateOptions();},{deep:true});this.$el.appendChild(this.picker.$el);this.picker.resetView&&this.picker.resetView();this.picker.$on('dodestroy',this.doDestroy);this.picker.$on('pick',function(){var date=arguments.length>0&&arguments[0]!==undefined?arguments[0]:'';var visible=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;_this3.userInput=null;_this3.pickerVisible=_this3.picker.visible=visible;_this3.emitInput(date);_this3.picker.resetView&&_this3.picker.resetView();});this.picker.$on('select-range',function(start,end,pos){if(_this3.refInput.length===0)return;if(!pos||pos==='min'){_this3.refInput[0].setSelectionRange(start,end);_this3.refInput[0].focus();}else if(pos==='max'){_this3.refInput[1].setSelectionRange(start,end);_this3.refInput[1].focus();}});},unmountPicker:function unmountPicker(){if(this.picker){this.picker.$destroy();this.picker.$off();if(typeof this.unwatchPickerOptions==='function'){this.unwatchPickerOptions();}this.picker.$el.parentNode.removeChild(this.picker.$el);}},emitChange:function emitChange(val){// determine user real change only\nif(!valueEquals(val,this.valueOnOpen)){this.$emit('change',val);this.valueOnOpen=val;if(this.validateEvent){this.dispatch('ElFormItem','el.form.change',val);}}},emitInput:function emitInput(val){var formatted=this.formatToValue(val);if(!valueEquals(this.value,formatted)){this.$emit('input',formatted);}},isValidValue:function isValidValue(value){if(!this.picker){this.mountPicker();}if(this.picker.isValidValue){return value&&this.picker.isValidValue(value);}else{return true;}}}};// CONCATENATED MODULE: ./packages/date-picker/src/picker.vue?vue&type=script&lang=js&\n/* harmony default export */var src_pickervue_type_script_lang_js_=pickervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/picker.vue\n/* normalize component */var picker_component=normalizeComponent(src_pickervue_type_script_lang_js_,pickervue_type_template_id_79ae069f_render,pickervue_type_template_id_79ae069f_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var picker_api; }picker_component.options.__file=\"packages/date-picker/src/picker.vue\";/* harmony default export */var picker=picker_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/date.vue?vue&type=template&id=2440d4ea&\nvar datevue_type_template_id_2440d4ea_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"after-enter\":_vm.handleEnter,\"after-leave\":_vm.handleLeave}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-picker-panel el-date-picker el-popper\",class:[{\"has-sidebar\":_vm.$slots.sidebar||_vm.shortcuts,\"has-time\":_vm.showTime},_vm.popperClass]},[_c(\"div\",{staticClass:\"el-picker-panel__body-wrapper\"},[_vm._t(\"sidebar\"),_vm.shortcuts?_c(\"div\",{staticClass:\"el-picker-panel__sidebar\"},_vm._l(_vm.shortcuts,function(shortcut,key){return _c(\"button\",{key:key,staticClass:\"el-picker-panel__shortcut\",attrs:{type:\"button\"},on:{click:function($event){_vm.handleShortcutClick(shortcut);}}},[_vm._v(_vm._s(shortcut.text))]);}),0):_vm._e(),_c(\"div\",{staticClass:\"el-picker-panel__body\"},[_vm.showTime?_c(\"div\",{staticClass:\"el-date-picker__time-header\"},[_c(\"span\",{staticClass:\"el-date-picker__editor-wrap\"},[_c(\"el-input\",{attrs:{placeholder:_vm.t(\"el.datepicker.selectDate\"),value:_vm.visibleDate,size:\"small\"},on:{input:function(val){return _vm.userInputDate=val;},change:_vm.handleVisibleDateChange}})],1),_c(\"span\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.handleTimePickClose,expression:\"handleTimePickClose\"}],staticClass:\"el-date-picker__editor-wrap\"},[_c(\"el-input\",{ref:\"input\",attrs:{placeholder:_vm.t(\"el.datepicker.selectTime\"),value:_vm.visibleTime,size:\"small\"},on:{focus:function($event){_vm.timePickerVisible=true;},input:function(val){return _vm.userInputTime=val;},change:_vm.handleVisibleTimeChange}}),_c(\"time-picker\",{ref:\"timepicker\",attrs:{\"time-arrow-control\":_vm.arrowControl,visible:_vm.timePickerVisible},on:{pick:_vm.handleTimePick,mounted:_vm.proxyTimePickerDataProperties}})],1)]):_vm._e(),_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.currentView!==\"time\",expression:\"currentView !== 'time'\"}],staticClass:\"el-date-picker__header\",class:{\"el-date-picker__header--bordered\":_vm.currentView===\"year\"||_vm.currentView===\"month\"}},[_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-date-picker__prev-btn el-icon-d-arrow-left\",attrs:{type:\"button\",\"aria-label\":_vm.t(\"el.datepicker.prevYear\")},on:{click:_vm.prevYear}}),_c(\"button\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.currentView===\"date\",expression:\"currentView === 'date'\"}],staticClass:\"el-picker-panel__icon-btn el-date-picker__prev-btn el-icon-arrow-left\",attrs:{type:\"button\",\"aria-label\":_vm.t(\"el.datepicker.prevMonth\")},on:{click:_vm.prevMonth}}),_c(\"span\",{staticClass:\"el-date-picker__header-label\",attrs:{role:\"button\"},on:{click:_vm.showYearPicker}},[_vm._v(_vm._s(_vm.yearLabel))]),_c(\"span\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.currentView===\"date\",expression:\"currentView === 'date'\"}],staticClass:\"el-date-picker__header-label\",class:{active:_vm.currentView===\"month\"},attrs:{role:\"button\"},on:{click:_vm.showMonthPicker}},[_vm._v(_vm._s(_vm.t(\"el.datepicker.month\"+(_vm.month+1))))]),_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-date-picker__next-btn el-icon-d-arrow-right\",attrs:{type:\"button\",\"aria-label\":_vm.t(\"el.datepicker.nextYear\")},on:{click:_vm.nextYear}}),_c(\"button\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.currentView===\"date\",expression:\"currentView === 'date'\"}],staticClass:\"el-picker-panel__icon-btn el-date-picker__next-btn el-icon-arrow-right\",attrs:{type:\"button\",\"aria-label\":_vm.t(\"el.datepicker.nextMonth\")},on:{click:_vm.nextMonth}})]),_c(\"div\",{staticClass:\"el-picker-panel__content\"},[_c(\"date-table\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.currentView===\"date\",expression:\"currentView === 'date'\"}],attrs:{\"selection-mode\":_vm.selectionMode,\"first-day-of-week\":_vm.firstDayOfWeek,value:_vm.value,\"default-value\":_vm.defaultValue?new Date(_vm.defaultValue):null,date:_vm.date,\"cell-class-name\":_vm.cellClassName,\"disabled-date\":_vm.disabledDate},on:{pick:_vm.handleDatePick}}),_c(\"year-table\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.currentView===\"year\",expression:\"currentView === 'year'\"}],attrs:{\"selection-mode\":_vm.selectionMode,value:_vm.value,\"default-value\":_vm.defaultValue?new Date(_vm.defaultValue):null,date:_vm.date,\"disabled-date\":_vm.disabledDate},on:{pick:_vm.handleYearPick}}),_c(\"month-table\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.currentView===\"month\",expression:\"currentView === 'month'\"}],attrs:{\"selection-mode\":_vm.selectionMode,value:_vm.value,\"default-value\":_vm.defaultValue?new Date(_vm.defaultValue):null,date:_vm.date,\"disabled-date\":_vm.disabledDate},on:{pick:_vm.handleMonthPick}})],1)])],2),_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.footerVisible&&(_vm.currentView===\"date\"||_vm.currentView===\"month\"||_vm.currentView===\"year\"),expression:\"footerVisible && (currentView === 'date' || currentView === 'month' || currentView === 'year')\"}],staticClass:\"el-picker-panel__footer\"},[_c(\"el-button\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.selectionMode!==\"dates\"&&_vm.selectionMode!==\"months\"&&_vm.selectionMode!==\"years\",expression:\"selectionMode !== 'dates' && selectionMode !== 'months' && selectionMode !== 'years'\"}],staticClass:\"el-picker-panel__link-btn\",attrs:{size:\"mini\",type:\"text\"},on:{click:_vm.changeToNow}},[_vm._v(\"\\n        \"+_vm._s(_vm.t(\"el.datepicker.now\"))+\"\\n      \")]),_c(\"el-button\",{staticClass:\"el-picker-panel__link-btn\",attrs:{plain:\"\",size:\"mini\"},on:{click:_vm.confirm}},[_vm._v(\"\\n        \"+_vm._s(_vm.t(\"el.datepicker.confirm\"))+\"\\n      \")])],1)])]);};var datevue_type_template_id_2440d4ea_staticRenderFns=[];datevue_type_template_id_2440d4ea_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/panel/date.vue?vue&type=template&id=2440d4ea&\n// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/time.vue?vue&type=template&id=3d939089&\nvar timevue_type_template_id_3d939089_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"after-leave\":function($event){_vm.$emit(\"dodestroy\");}}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-time-panel el-popper\",class:_vm.popperClass},[_c(\"div\",{staticClass:\"el-time-panel__content\",class:{\"has-seconds\":_vm.showSeconds}},[_c(\"time-spinner\",{ref:\"spinner\",attrs:{\"arrow-control\":_vm.useArrow,\"show-seconds\":_vm.showSeconds,\"am-pm-mode\":_vm.amPmMode,date:_vm.date},on:{change:_vm.handleChange,\"select-range\":_vm.setSelectionRange}})],1),_c(\"div\",{staticClass:\"el-time-panel__footer\"},[_c(\"button\",{staticClass:\"el-time-panel__btn cancel\",attrs:{type:\"button\"},on:{click:_vm.handleCancel}},[_vm._v(_vm._s(_vm.t(\"el.datepicker.cancel\")))]),_c(\"button\",{staticClass:\"el-time-panel__btn\",class:{confirm:!_vm.disabled},attrs:{type:\"button\"},on:{click:function($event){_vm.handleConfirm();}}},[_vm._v(_vm._s(_vm.t(\"el.datepicker.confirm\")))])])])]);};var timevue_type_template_id_3d939089_staticRenderFns=[];timevue_type_template_id_3d939089_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/panel/time.vue?vue&type=template&id=3d939089&\n// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/basic/time-spinner.vue?vue&type=template&id=1facadeb&\nvar time_spinnervue_type_template_id_1facadeb_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-time-spinner\",class:{\"has-seconds\":_vm.showSeconds}},[!_vm.arrowControl?[_c(\"el-scrollbar\",{ref:\"hours\",staticClass:\"el-time-spinner__wrapper\",attrs:{\"wrap-style\":\"max-height: inherit;\",\"view-class\":\"el-time-spinner__list\",noresize:\"\",tag:\"ul\"},nativeOn:{mouseenter:function($event){_vm.emitSelectRange(\"hours\");},mousemove:function($event){_vm.adjustCurrentSpinner(\"hours\");}}},_vm._l(_vm.hoursList,function(disabled,hour){return _c(\"li\",{key:hour,staticClass:\"el-time-spinner__item\",class:{active:hour===_vm.hours,disabled:disabled},on:{click:function($event){_vm.handleClick(\"hours\",{value:hour,disabled:disabled});}}},[_vm._v(_vm._s((\"0\"+(_vm.amPmMode?hour%12||12:hour)).slice(-2))+_vm._s(_vm.amPm(hour)))]);}),0),_c(\"el-scrollbar\",{ref:\"minutes\",staticClass:\"el-time-spinner__wrapper\",attrs:{\"wrap-style\":\"max-height: inherit;\",\"view-class\":\"el-time-spinner__list\",noresize:\"\",tag:\"ul\"},nativeOn:{mouseenter:function($event){_vm.emitSelectRange(\"minutes\");},mousemove:function($event){_vm.adjustCurrentSpinner(\"minutes\");}}},_vm._l(_vm.minutesList,function(enabled,key){return _c(\"li\",{key:key,staticClass:\"el-time-spinner__item\",class:{active:key===_vm.minutes,disabled:!enabled},on:{click:function($event){_vm.handleClick(\"minutes\",{value:key,disabled:false});}}},[_vm._v(_vm._s((\"0\"+key).slice(-2)))]);}),0),_c(\"el-scrollbar\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.showSeconds,expression:\"showSeconds\"}],ref:\"seconds\",staticClass:\"el-time-spinner__wrapper\",attrs:{\"wrap-style\":\"max-height: inherit;\",\"view-class\":\"el-time-spinner__list\",noresize:\"\",tag:\"ul\"},nativeOn:{mouseenter:function($event){_vm.emitSelectRange(\"seconds\");},mousemove:function($event){_vm.adjustCurrentSpinner(\"seconds\");}}},_vm._l(60,function(second,key){return _c(\"li\",{key:key,staticClass:\"el-time-spinner__item\",class:{active:key===_vm.seconds},on:{click:function($event){_vm.handleClick(\"seconds\",{value:key,disabled:false});}}},[_vm._v(_vm._s((\"0\"+key).slice(-2)))]);}),0)]:_vm._e(),_vm.arrowControl?[_c(\"div\",{staticClass:\"el-time-spinner__wrapper is-arrow\",on:{mouseenter:function($event){_vm.emitSelectRange(\"hours\");}}},[_c(\"i\",{directives:[{name:\"repeat-click\",rawName:\"v-repeat-click\",value:_vm.decrease,expression:\"decrease\"}],staticClass:\"el-time-spinner__arrow el-icon-arrow-up\"}),_c(\"i\",{directives:[{name:\"repeat-click\",rawName:\"v-repeat-click\",value:_vm.increase,expression:\"increase\"}],staticClass:\"el-time-spinner__arrow el-icon-arrow-down\"}),_c(\"ul\",{ref:\"hours\",staticClass:\"el-time-spinner__list\"},_vm._l(_vm.arrowHourList,function(hour,key){return _c(\"li\",{key:key,staticClass:\"el-time-spinner__item\",class:{active:hour===_vm.hours,disabled:_vm.hoursList[hour]}},[_vm._v(_vm._s(hour===undefined?\"\":(\"0\"+(_vm.amPmMode?hour%12||12:hour)).slice(-2)+_vm.amPm(hour)))]);}),0)]),_c(\"div\",{staticClass:\"el-time-spinner__wrapper is-arrow\",on:{mouseenter:function($event){_vm.emitSelectRange(\"minutes\");}}},[_c(\"i\",{directives:[{name:\"repeat-click\",rawName:\"v-repeat-click\",value:_vm.decrease,expression:\"decrease\"}],staticClass:\"el-time-spinner__arrow el-icon-arrow-up\"}),_c(\"i\",{directives:[{name:\"repeat-click\",rawName:\"v-repeat-click\",value:_vm.increase,expression:\"increase\"}],staticClass:\"el-time-spinner__arrow el-icon-arrow-down\"}),_c(\"ul\",{ref:\"minutes\",staticClass:\"el-time-spinner__list\"},_vm._l(_vm.arrowMinuteList,function(minute,key){return _c(\"li\",{key:key,staticClass:\"el-time-spinner__item\",class:{active:minute===_vm.minutes}},[_vm._v(\"\\n          \"+_vm._s(minute===undefined?\"\":(\"0\"+minute).slice(-2))+\"\\n        \")]);}),0)]),_vm.showSeconds?_c(\"div\",{staticClass:\"el-time-spinner__wrapper is-arrow\",on:{mouseenter:function($event){_vm.emitSelectRange(\"seconds\");}}},[_c(\"i\",{directives:[{name:\"repeat-click\",rawName:\"v-repeat-click\",value:_vm.decrease,expression:\"decrease\"}],staticClass:\"el-time-spinner__arrow el-icon-arrow-up\"}),_c(\"i\",{directives:[{name:\"repeat-click\",rawName:\"v-repeat-click\",value:_vm.increase,expression:\"increase\"}],staticClass:\"el-time-spinner__arrow el-icon-arrow-down\"}),_c(\"ul\",{ref:\"seconds\",staticClass:\"el-time-spinner__list\"},_vm._l(_vm.arrowSecondList,function(second,key){return _c(\"li\",{key:key,staticClass:\"el-time-spinner__item\",class:{active:second===_vm.seconds}},[_vm._v(\"\\n          \"+_vm._s(second===undefined?\"\":(\"0\"+second).slice(-2))+\"\\n        \")]);}),0)]):_vm._e()]:_vm._e()],2);};var time_spinnervue_type_template_id_1facadeb_staticRenderFns=[];time_spinnervue_type_template_id_1facadeb_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/basic/time-spinner.vue?vue&type=template&id=1facadeb&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/basic/time-spinner.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var time_spinnervue_type_script_lang_js_={components:{ElScrollbar:scrollbar_default.a},directives:{repeatClick:repeat_click},props:{date:{},defaultValue:{},// reserved for future use\nshowSeconds:{type:Boolean,default:true},arrowControl:Boolean,amPmMode:{type:String,default:''// 'a': am/pm; 'A': AM/PM\n}},computed:{hours:function hours(){return this.date.getHours();},minutes:function minutes(){return this.date.getMinutes();},seconds:function seconds(){return this.date.getSeconds();},hoursList:function hoursList(){return Object(date_util_[\"getRangeHours\"])(this.selectableRange);},minutesList:function minutesList(){return Object(date_util_[\"getRangeMinutes\"])(this.selectableRange,this.hours);},arrowHourList:function arrowHourList(){var hours=this.hours;return[hours>0?hours-1:undefined,hours,hours<23?hours+1:undefined];},arrowMinuteList:function arrowMinuteList(){var minutes=this.minutes;return[minutes>0?minutes-1:undefined,minutes,minutes<59?minutes+1:undefined];},arrowSecondList:function arrowSecondList(){var seconds=this.seconds;return[seconds>0?seconds-1:undefined,seconds,seconds<59?seconds+1:undefined];}},data:function data(){return{selectableRange:[],currentScrollbar:null};},mounted:function mounted(){var _this=this;this.$nextTick(function(){!_this.arrowControl&&_this.bindScrollEvent();});},methods:{increase:function increase(){this.scrollDown(1);},decrease:function decrease(){this.scrollDown(-1);},modifyDateField:function modifyDateField(type,value){switch(type){case'hours':this.$emit('change',Object(date_util_[\"modifyTime\"])(this.date,value,this.minutes,this.seconds));break;case'minutes':this.$emit('change',Object(date_util_[\"modifyTime\"])(this.date,this.hours,value,this.seconds));break;case'seconds':this.$emit('change',Object(date_util_[\"modifyTime\"])(this.date,this.hours,this.minutes,value));break;}},handleClick:function handleClick(type,_ref){var value=_ref.value,disabled=_ref.disabled;if(!disabled){this.modifyDateField(type,value);this.emitSelectRange(type);this.adjustSpinner(type,value);}},emitSelectRange:function emitSelectRange(type){if(type==='hours'){this.$emit('select-range',0,2);}else if(type==='minutes'){this.$emit('select-range',3,5);}else if(type==='seconds'){this.$emit('select-range',6,8);}this.currentScrollbar=type;},bindScrollEvent:function bindScrollEvent(){var _this2=this;var bindFunction=function bindFunction(type){_this2.$refs[type].wrap.onscroll=function(e){// TODO: scroll is emitted when set scrollTop programatically\n// should find better solutions in the future!\n_this2.handleScroll(type,e);};};bindFunction('hours');bindFunction('minutes');bindFunction('seconds');},handleScroll:function handleScroll(type){var value=Math.min(Math.round((this.$refs[type].wrap.scrollTop-(this.scrollBarHeight(type)*0.5-10)/this.typeItemHeight(type)+3)/this.typeItemHeight(type)),type==='hours'?23:59);this.modifyDateField(type,value);},// NOTE: used by datetime / date-range panel\n//       renamed from adjustScrollTop\n//       should try to refactory it\nadjustSpinners:function adjustSpinners(){this.adjustSpinner('hours',this.hours);this.adjustSpinner('minutes',this.minutes);this.adjustSpinner('seconds',this.seconds);},adjustCurrentSpinner:function adjustCurrentSpinner(type){this.adjustSpinner(type,this[type]);},adjustSpinner:function adjustSpinner(type,value){if(this.arrowControl)return;var el=this.$refs[type].wrap;if(el){el.scrollTop=Math.max(0,value*this.typeItemHeight(type));}},scrollDown:function scrollDown(step){var _this3=this;if(!this.currentScrollbar){this.emitSelectRange('hours');}var label=this.currentScrollbar;var hoursList=this.hoursList;var now=this[label];if(this.currentScrollbar==='hours'){var total=Math.abs(step);step=step>0?1:-1;var length=hoursList.length;while(length--&&total){now=(now+step+hoursList.length)%hoursList.length;if(hoursList[now]){continue;}total--;}if(hoursList[now])return;}else{now=(now+step+60)%60;}this.modifyDateField(label,now);this.adjustSpinner(label,now);this.$nextTick(function(){return _this3.emitSelectRange(_this3.currentScrollbar);});},amPm:function amPm(hour){var shouldShowAmPm=this.amPmMode.toLowerCase()==='a';if(!shouldShowAmPm)return'';var isCapital=this.amPmMode==='A';var content=hour<12?' am':' pm';if(isCapital)content=content.toUpperCase();return content;},typeItemHeight:function typeItemHeight(type){return this.$refs[type].$el.querySelector('li').offsetHeight;},scrollBarHeight:function scrollBarHeight(type){return this.$refs[type].$el.offsetHeight;}}};// CONCATENATED MODULE: ./packages/date-picker/src/basic/time-spinner.vue?vue&type=script&lang=js&\n/* harmony default export */var basic_time_spinnervue_type_script_lang_js_=time_spinnervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/basic/time-spinner.vue\n/* normalize component */var time_spinner_component=normalizeComponent(basic_time_spinnervue_type_script_lang_js_,time_spinnervue_type_template_id_1facadeb_render,time_spinnervue_type_template_id_1facadeb_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var time_spinner_api; }time_spinner_component.options.__file=\"packages/date-picker/src/basic/time-spinner.vue\";/* harmony default export */var time_spinner=time_spinner_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/time.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var timevue_type_script_lang_js_={mixins:[locale_default.a],components:{TimeSpinner:time_spinner},props:{visible:Boolean,timeArrowControl:Boolean},watch:{visible:function visible(val){var _this=this;if(val){this.oldValue=this.value;this.$nextTick(function(){return _this.$refs.spinner.emitSelectRange('hours');});}else{this.needInitAdjust=true;}},value:function value(newVal){var _this2=this;var date=void 0;if(newVal instanceof Date){date=Object(date_util_[\"limitTimeRange\"])(newVal,this.selectableRange,this.format);}else if(!newVal){date=this.defaultValue?new Date(this.defaultValue):new Date();}this.date=date;if(this.visible&&this.needInitAdjust){this.$nextTick(function(_){return _this2.adjustSpinners();});this.needInitAdjust=false;}},selectableRange:function selectableRange(val){this.$refs.spinner.selectableRange=val;},defaultValue:function defaultValue(val){if(!Object(date_util_[\"isDate\"])(this.value)){this.date=val?new Date(val):new Date();}}},data:function data(){return{popperClass:'',format:'HH:mm:ss',value:'',defaultValue:null,date:new Date(),oldValue:new Date(),selectableRange:[],selectionRange:[0,2],disabled:false,arrowControl:false,needInitAdjust:true};},computed:{showSeconds:function showSeconds(){return(this.format||'').indexOf('ss')!==-1;},useArrow:function useArrow(){return this.arrowControl||this.timeArrowControl||false;},amPmMode:function amPmMode(){if((this.format||'').indexOf('A')!==-1)return'A';if((this.format||'').indexOf('a')!==-1)return'a';return'';}},methods:{handleCancel:function handleCancel(){this.$emit('pick',this.oldValue,false);},handleChange:function handleChange(date){// this.visible avoids edge cases, when use scrolls during panel closing animation\nif(this.visible){this.date=Object(date_util_[\"clearMilliseconds\"])(date);// if date is out of range, do not emit\nif(this.isValidValue(this.date)){this.$emit('pick',this.date,true);}}},setSelectionRange:function setSelectionRange(start,end){this.$emit('select-range',start,end);this.selectionRange=[start,end];},handleConfirm:function handleConfirm(){var visible=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;var first=arguments[1];if(first)return;var date=Object(date_util_[\"clearMilliseconds\"])(Object(date_util_[\"limitTimeRange\"])(this.date,this.selectableRange,this.format));this.$emit('pick',date,visible,first);},handleKeydown:function handleKeydown(event){var keyCode=event.keyCode;var mapping={38:-1,40:1,37:-1,39:1};// Left or Right\nif(keyCode===37||keyCode===39){var step=mapping[keyCode];this.changeSelectionRange(step);event.preventDefault();return;}// Up or Down\nif(keyCode===38||keyCode===40){var _step=mapping[keyCode];this.$refs.spinner.scrollDown(_step);event.preventDefault();return;}},isValidValue:function isValidValue(date){return Object(date_util_[\"timeWithinRange\"])(date,this.selectableRange,this.format);},adjustSpinners:function adjustSpinners(){return this.$refs.spinner.adjustSpinners();},changeSelectionRange:function changeSelectionRange(step){var list=[0,3].concat(this.showSeconds?[6]:[]);var mapping=['hours','minutes'].concat(this.showSeconds?['seconds']:[]);var index=list.indexOf(this.selectionRange[0]);var next=(index+step+list.length)%list.length;this.$refs.spinner.emitSelectRange(mapping[next]);}},mounted:function mounted(){var _this3=this;this.$nextTick(function(){return _this3.handleConfirm(true,true);});this.$emit('mounted');}};// CONCATENATED MODULE: ./packages/date-picker/src/panel/time.vue?vue&type=script&lang=js&\n/* harmony default export */var panel_timevue_type_script_lang_js_=timevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/panel/time.vue\n/* normalize component */var time_component=normalizeComponent(panel_timevue_type_script_lang_js_,timevue_type_template_id_3d939089_render,timevue_type_template_id_3d939089_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var time_api; }time_component.options.__file=\"packages/date-picker/src/panel/time.vue\";/* harmony default export */var panel_time=time_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/basic/year-table.vue?vue&type=template&id=c86ab5e0&\nvar year_tablevue_type_template_id_c86ab5e0_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"table\",{staticClass:\"el-year-table\",on:{click:_vm.handleYearTableClick}},[_c(\"tbody\",[_c(\"tr\",[_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+0)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear))])]),_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+1)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear+1))])]),_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+2)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear+2))])]),_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+3)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear+3))])])]),_c(\"tr\",[_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+4)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear+4))])]),_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+5)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear+5))])]),_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+6)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear+6))])]),_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+7)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear+7))])])]),_c(\"tr\",[_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+8)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear+8))])]),_c(\"td\",{staticClass:\"available\",class:_vm.getCellStyle(_vm.startYear+9)},[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.startYear+9))])]),_c(\"td\"),_c(\"td\")])])]);};var year_tablevue_type_template_id_c86ab5e0_staticRenderFns=[];year_tablevue_type_template_id_c86ab5e0_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/basic/year-table.vue?vue&type=template&id=c86ab5e0&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/basic/year-table.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar year_tablevue_type_script_lang_js_datesInYear=function datesInYear(year){var numOfDays=Object(date_util_[\"getDayCountOfYear\"])(year);var firstDay=new Date(year,0,1);return Object(date_util_[\"range\"])(numOfDays).map(function(n){return Object(date_util_[\"nextDate\"])(firstDay,n);});};/* harmony default export */var year_tablevue_type_script_lang_js_={props:{disabledDate:{},value:{},defaultValue:{validator:function validator(val){// null or valid Date Object\nreturn val===null||val instanceof Date&&Object(date_util_[\"isDate\"])(val);}},date:{},selectionMode:{}},computed:{startYear:function startYear(){return Math.floor(this.date.getFullYear()/10)*10;}},methods:{getCellStyle:function getCellStyle(year){var style={};var today=new Date();style.disabled=typeof this.disabledDate==='function'?year_tablevue_type_script_lang_js_datesInYear(year).every(this.disabledDate):false;style.current=Object(util_[\"arrayFindIndex\"])(Object(util_[\"coerceTruthyValueToArray\"])(this.value),function(date){return date.getFullYear()===year;})>=0;style.today=today.getFullYear()===year;style.default=this.defaultValue&&this.defaultValue.getFullYear()===year;return style;},handleYearTableClick:function handleYearTableClick(event){var target=event.target;if(target.tagName==='A'){if(Object(dom_[\"hasClass\"])(target.parentNode,'disabled'))return;var year=target.textContent||target.innerText;if(this.selectionMode==='years'){var value=this.value||[];var idx=Object(util_[\"arrayFindIndex\"])(value,function(date){return date.getFullYear()===Number(year);});var newValue=idx>-1?[].concat(value.slice(0,idx),value.slice(idx+1)):[].concat(value,[new Date(year)]);this.$emit('pick',newValue);}else{this.$emit('pick',Number(year));}}}}};// CONCATENATED MODULE: ./packages/date-picker/src/basic/year-table.vue?vue&type=script&lang=js&\n/* harmony default export */var basic_year_tablevue_type_script_lang_js_=year_tablevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/basic/year-table.vue\n/* normalize component */var year_table_component=normalizeComponent(basic_year_tablevue_type_script_lang_js_,year_tablevue_type_template_id_c86ab5e0_render,year_tablevue_type_template_id_c86ab5e0_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var year_table_api; }year_table_component.options.__file=\"packages/date-picker/src/basic/year-table.vue\";/* harmony default export */var year_table=year_table_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/basic/month-table.vue?vue&type=template&id=654d4f42&\nvar month_tablevue_type_template_id_654d4f42_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"table\",{staticClass:\"el-month-table\",on:{click:_vm.handleMonthTableClick,mousemove:_vm.handleMouseMove}},[_c(\"tbody\",_vm._l(_vm.rows,function(row,key){return _c(\"tr\",{key:key},_vm._l(row,function(cell,key){return _c(\"td\",{key:key,class:_vm.getCellStyle(cell)},[_c(\"div\",[_c(\"a\",{staticClass:\"cell\"},[_vm._v(_vm._s(_vm.t(\"el.datepicker.months.\"+_vm.months[cell.text])))])])]);}),0);}),0)]);};var month_tablevue_type_template_id_654d4f42_staticRenderFns=[];month_tablevue_type_template_id_654d4f42_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/basic/month-table.vue?vue&type=template&id=654d4f42&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/basic/month-table.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar month_tablevue_type_script_lang_js_datesInMonth=function datesInMonth(year,month){var numOfDays=Object(date_util_[\"getDayCountOfMonth\"])(year,month);var firstDay=new Date(year,month,1);return Object(date_util_[\"range\"])(numOfDays).map(function(n){return Object(date_util_[\"nextDate\"])(firstDay,n);});};var clearDate=function clearDate(date){return new Date(date.getFullYear(),date.getMonth());};var getMonthTimestamp=function getMonthTimestamp(time){if(typeof time==='number'||typeof time==='string'){return clearDate(new Date(time)).getTime();}else if(time instanceof Date){return clearDate(time).getTime();}else{return NaN;}};// remove the first element that satisfies `pred` from arr\n// return a new array if modification occurs\n// return the original array otherwise\nvar month_tablevue_type_script_lang_js_removeFromArray=function removeFromArray(arr,pred){var idx=typeof pred==='function'?Object(util_[\"arrayFindIndex\"])(arr,pred):arr.indexOf(pred);return idx>=0?[].concat(arr.slice(0,idx),arr.slice(idx+1)):arr;};/* harmony default export */var month_tablevue_type_script_lang_js_={props:{disabledDate:{},value:{},selectionMode:{default:'month'},minDate:{},maxDate:{},defaultValue:{validator:function validator(val){// null or valid Date Object\nreturn val===null||Object(date_util_[\"isDate\"])(val)||Array.isArray(val)&&val.every(date_util_[\"isDate\"]);}},date:{},rangeState:{default:function _default(){return{endDate:null,selecting:false};}}},mixins:[locale_default.a],watch:{'rangeState.endDate':function rangeStateEndDate(newVal){this.markRange(this.minDate,newVal);},minDate:function minDate(newVal,oldVal){if(getMonthTimestamp(newVal)!==getMonthTimestamp(oldVal)){this.markRange(this.minDate,this.maxDate);}},maxDate:function maxDate(newVal,oldVal){if(getMonthTimestamp(newVal)!==getMonthTimestamp(oldVal)){this.markRange(this.minDate,this.maxDate);}}},data:function data(){return{months:['jan','feb','mar','apr','may','jun','jul','aug','sep','oct','nov','dec'],tableRows:[[],[],[]],lastRow:null,lastColumn:null};},methods:{cellMatchesDate:function cellMatchesDate(cell,date){var value=new Date(date);return this.date.getFullYear()===value.getFullYear()&&Number(cell.text)===value.getMonth();},getCellStyle:function getCellStyle(cell){var _this=this;var style={};var year=this.date.getFullYear();var today=new Date();var month=cell.text;var defaultValue=this.defaultValue?Array.isArray(this.defaultValue)?this.defaultValue:[this.defaultValue]:[];style.disabled=typeof this.disabledDate==='function'?month_tablevue_type_script_lang_js_datesInMonth(year,month).every(this.disabledDate):false;style.current=Object(util_[\"arrayFindIndex\"])(Object(util_[\"coerceTruthyValueToArray\"])(this.value),function(date){return date.getFullYear()===year&&date.getMonth()===month;})>=0;style.today=today.getFullYear()===year&&today.getMonth()===month;style.default=defaultValue.some(function(date){return _this.cellMatchesDate(cell,date);});if(cell.inRange){style['in-range']=true;if(cell.start){style['start-date']=true;}if(cell.end){style['end-date']=true;}}return style;},getMonthOfCell:function getMonthOfCell(month){var year=this.date.getFullYear();return new Date(year,month,1);},markRange:function markRange(minDate,maxDate){minDate=getMonthTimestamp(minDate);maxDate=getMonthTimestamp(maxDate)||minDate;var _ref=[Math.min(minDate,maxDate),Math.max(minDate,maxDate)];minDate=_ref[0];maxDate=_ref[1];var rows=this.rows;for(var i=0,k=rows.length;i<k;i++){var row=rows[i];for(var j=0,l=row.length;j<l;j++){var cell=row[j];var index=i*4+j;var time=new Date(this.date.getFullYear(),index).getTime();cell.inRange=minDate&&time>=minDate&&time<=maxDate;cell.start=minDate&&time===minDate;cell.end=maxDate&&time===maxDate;}}},handleMouseMove:function handleMouseMove(event){if(!this.rangeState.selecting)return;var target=event.target;if(target.tagName==='A'){target=target.parentNode.parentNode;}if(target.tagName==='DIV'){target=target.parentNode;}if(target.tagName!=='TD')return;var row=target.parentNode.rowIndex;var column=target.cellIndex;// can not select disabled date\nif(this.rows[row][column].disabled)return;// only update rangeState when mouse moves to a new cell\n// this avoids frequent Date object creation and improves performance\nif(row!==this.lastRow||column!==this.lastColumn){this.lastRow=row;this.lastColumn=column;this.$emit('changerange',{minDate:this.minDate,maxDate:this.maxDate,rangeState:{selecting:true,endDate:this.getMonthOfCell(row*4+column)}});}},handleMonthTableClick:function handleMonthTableClick(event){var target=event.target;if(target.tagName==='A'){target=target.parentNode.parentNode;}if(target.tagName==='DIV'){target=target.parentNode;}if(target.tagName!=='TD')return;if(Object(dom_[\"hasClass\"])(target,'disabled'))return;var column=target.cellIndex;var row=target.parentNode.rowIndex;var month=row*4+column;var newDate=this.getMonthOfCell(month);if(this.selectionMode==='range'){if(!this.rangeState.selecting){this.$emit('pick',{minDate:newDate,maxDate:null});this.rangeState.selecting=true;}else{if(newDate>=this.minDate){this.$emit('pick',{minDate:this.minDate,maxDate:newDate});}else{this.$emit('pick',{minDate:newDate,maxDate:this.minDate});}this.rangeState.selecting=false;}}else if(this.selectionMode==='months'){var value=this.value||[];var year=this.date.getFullYear();var newValue=Object(util_[\"arrayFindIndex\"])(value,function(date){return date.getFullYear()===year&&date.getMonth()===month;})>=0?month_tablevue_type_script_lang_js_removeFromArray(value,function(date){return date.getTime()===newDate.getTime();}):[].concat(value,[newDate]);this.$emit('pick',newValue);}else{this.$emit('pick',month);}}},computed:{rows:function rows(){var _this2=this;// TODO: refactory rows / getCellClasses\nvar rows=this.tableRows;var disabledDate=this.disabledDate;var selectedDate=[];var now=getMonthTimestamp(new Date());for(var i=0;i<3;i++){var row=rows[i];var _loop=function _loop(j){var cell=row[j];if(!cell){cell={row:i,column:j,type:'normal',inRange:false,start:false,end:false};}cell.type='normal';var index=i*4+j;var time=new Date(_this2.date.getFullYear(),index).getTime();cell.inRange=time>=getMonthTimestamp(_this2.minDate)&&time<=getMonthTimestamp(_this2.maxDate);cell.start=_this2.minDate&&time===getMonthTimestamp(_this2.minDate);cell.end=_this2.maxDate&&time===getMonthTimestamp(_this2.maxDate);var isToday=time===now;if(isToday){cell.type='today';}cell.text=index;var cellDate=new Date(time);cell.disabled=typeof disabledDate==='function'&&disabledDate(cellDate);cell.selected=Object(util_[\"arrayFind\"])(selectedDate,function(date){return date.getTime()===cellDate.getTime();});_this2.$set(row,j,cell);};for(var j=0;j<4;j++){_loop(j);}}return rows;}}};// CONCATENATED MODULE: ./packages/date-picker/src/basic/month-table.vue?vue&type=script&lang=js&\n/* harmony default export */var basic_month_tablevue_type_script_lang_js_=month_tablevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/basic/month-table.vue\n/* normalize component */var month_table_component=normalizeComponent(basic_month_tablevue_type_script_lang_js_,month_tablevue_type_template_id_654d4f42_render,month_tablevue_type_template_id_654d4f42_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var month_table_api; }month_table_component.options.__file=\"packages/date-picker/src/basic/month-table.vue\";/* harmony default export */var month_table=month_table_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/basic/date-table.vue?vue&type=template&id=5d1f3341&\nvar date_tablevue_type_template_id_5d1f3341_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"table\",{staticClass:\"el-date-table\",class:{\"is-week-mode\":_vm.selectionMode===\"week\"},attrs:{cellspacing:\"0\",cellpadding:\"0\"},on:{click:_vm.handleClick,mousemove:_vm.handleMouseMove}},[_c(\"tbody\",[_c(\"tr\",[_vm.showWeekNumber?_c(\"th\",[_vm._v(_vm._s(_vm.t(\"el.datepicker.week\")))]):_vm._e(),_vm._l(_vm.WEEKS,function(week,key){return _c(\"th\",{key:key},[_vm._v(_vm._s(_vm.t(\"el.datepicker.weeks.\"+week)))]);})],2),_vm._l(_vm.rows,function(row,key){return _c(\"tr\",{key:key,staticClass:\"el-date-table__row\",class:{current:_vm.isWeekActive(row[1])}},_vm._l(row,function(cell,key){return _c(\"td\",{key:key,class:_vm.getCellClasses(cell)},[_c(\"div\",[_c(\"span\",[_vm._v(\"\\n          \"+_vm._s(cell.text)+\"\\n        \")])])]);}),0);})],2)]);};var date_tablevue_type_template_id_5d1f3341_staticRenderFns=[];date_tablevue_type_template_id_5d1f3341_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/basic/date-table.vue?vue&type=template&id=5d1f3341&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/basic/date-table.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar _WEEKS=['sun','mon','tue','wed','thu','fri','sat'];var date_tablevue_type_script_lang_js_getDateTimestamp=function getDateTimestamp(time){if(typeof time==='number'||typeof time==='string'){return Object(date_util_[\"clearTime\"])(new Date(time)).getTime();}else if(time instanceof Date){return Object(date_util_[\"clearTime\"])(time).getTime();}else{return NaN;}};// remove the first element that satisfies `pred` from arr\n// return a new array if modification occurs\n// return the original array otherwise\nvar date_tablevue_type_script_lang_js_removeFromArray=function removeFromArray(arr,pred){var idx=typeof pred==='function'?Object(util_[\"arrayFindIndex\"])(arr,pred):arr.indexOf(pred);return idx>=0?[].concat(arr.slice(0,idx),arr.slice(idx+1)):arr;};/* harmony default export */var date_tablevue_type_script_lang_js_={mixins:[locale_default.a],props:{firstDayOfWeek:{default:7,type:Number,validator:function validator(val){return val>=1&&val<=7;}},value:{},defaultValue:{validator:function validator(val){// either: null, valid Date object, Array of valid Date objects\nreturn val===null||Object(date_util_[\"isDate\"])(val)||Array.isArray(val)&&val.every(date_util_[\"isDate\"]);}},date:{},selectionMode:{default:'day'},showWeekNumber:{type:Boolean,default:false},disabledDate:{},cellClassName:{},minDate:{},maxDate:{},rangeState:{default:function _default(){return{endDate:null,selecting:false};}}},computed:{offsetDay:function offsetDay(){var week=this.firstDayOfWeek;// 周日为界限，左右偏移的天数，3217654 例如周一就是 -1，目的是调整前两行日期的位置\nreturn week>3?7-week:-week;},WEEKS:function WEEKS(){var week=this.firstDayOfWeek;return _WEEKS.concat(_WEEKS).slice(week,week+7);},year:function year(){return this.date.getFullYear();},month:function month(){return this.date.getMonth();},startDate:function startDate(){return Object(date_util_[\"getStartDateOfMonth\"])(this.year,this.month);},rows:function rows(){var _this=this;// TODO: refactory rows / getCellClasses\nvar date=new Date(this.year,this.month,1);var day=Object(date_util_[\"getFirstDayOfMonth\"])(date);// day of first day\nvar dateCountOfMonth=Object(date_util_[\"getDayCountOfMonth\"])(date.getFullYear(),date.getMonth());var dateCountOfLastMonth=Object(date_util_[\"getDayCountOfMonth\"])(date.getFullYear(),date.getMonth()===0?11:date.getMonth()-1);day=day===0?7:day;var offset=this.offsetDay;var rows=this.tableRows;var count=1;var startDate=this.startDate;var disabledDate=this.disabledDate;var cellClassName=this.cellClassName;var selectedDate=this.selectionMode==='dates'?Object(util_[\"coerceTruthyValueToArray\"])(this.value):[];var now=date_tablevue_type_script_lang_js_getDateTimestamp(new Date());for(var i=0;i<6;i++){var row=rows[i];if(this.showWeekNumber){if(!row[0]){row[0]={type:'week',text:Object(date_util_[\"getWeekNumber\"])(Object(date_util_[\"nextDate\"])(startDate,i*7+1))};}}var _loop=function _loop(j){var cell=row[_this.showWeekNumber?j+1:j];if(!cell){cell={row:i,column:j,type:'normal',inRange:false,start:false,end:false};}cell.type='normal';var index=i*7+j;var time=Object(date_util_[\"nextDate\"])(startDate,index-offset).getTime();cell.inRange=time>=date_tablevue_type_script_lang_js_getDateTimestamp(_this.minDate)&&time<=date_tablevue_type_script_lang_js_getDateTimestamp(_this.maxDate);cell.start=_this.minDate&&time===date_tablevue_type_script_lang_js_getDateTimestamp(_this.minDate);cell.end=_this.maxDate&&time===date_tablevue_type_script_lang_js_getDateTimestamp(_this.maxDate);var isToday=time===now;if(isToday){cell.type='today';}if(i>=0&&i<=1){var numberOfDaysFromPreviousMonth=day+offset<0?7+day+offset:day+offset;if(j+i*7>=numberOfDaysFromPreviousMonth){cell.text=count++;}else{cell.text=dateCountOfLastMonth-(numberOfDaysFromPreviousMonth-j%7)+1+i*7;cell.type='prev-month';}}else{if(count<=dateCountOfMonth){cell.text=count++;}else{cell.text=count++-dateCountOfMonth;cell.type='next-month';}}var cellDate=new Date(time);cell.disabled=typeof disabledDate==='function'&&disabledDate(cellDate);cell.selected=Object(util_[\"arrayFind\"])(selectedDate,function(date){return date.getTime()===cellDate.getTime();});cell.customClass=typeof cellClassName==='function'&&cellClassName(cellDate);_this.$set(row,_this.showWeekNumber?j+1:j,cell);};for(var j=0;j<7;j++){_loop(j);}if(this.selectionMode==='week'){var start=this.showWeekNumber?1:0;var end=this.showWeekNumber?7:6;var isWeekActive=this.isWeekActive(row[start+1]);row[start].inRange=isWeekActive;row[start].start=isWeekActive;row[end].inRange=isWeekActive;row[end].end=isWeekActive;}}return rows;}},watch:{'rangeState.endDate':function rangeStateEndDate(newVal){this.markRange(this.minDate,newVal);},minDate:function minDate(newVal,oldVal){if(date_tablevue_type_script_lang_js_getDateTimestamp(newVal)!==date_tablevue_type_script_lang_js_getDateTimestamp(oldVal)){this.markRange(this.minDate,this.maxDate);}},maxDate:function maxDate(newVal,oldVal){if(date_tablevue_type_script_lang_js_getDateTimestamp(newVal)!==date_tablevue_type_script_lang_js_getDateTimestamp(oldVal)){this.markRange(this.minDate,this.maxDate);}}},data:function data(){return{tableRows:[[],[],[],[],[],[]],lastRow:null,lastColumn:null};},methods:{cellMatchesDate:function cellMatchesDate(cell,date){var value=new Date(date);return this.year===value.getFullYear()&&this.month===value.getMonth()&&Number(cell.text)===value.getDate();},getCellClasses:function getCellClasses(cell){var _this2=this;var selectionMode=this.selectionMode;var defaultValue=this.defaultValue?Array.isArray(this.defaultValue)?this.defaultValue:[this.defaultValue]:[];var classes=[];if((cell.type==='normal'||cell.type==='today')&&!cell.disabled){classes.push('available');if(cell.type==='today'){classes.push('today');}}else{classes.push(cell.type);}if(cell.type==='normal'&&defaultValue.some(function(date){return _this2.cellMatchesDate(cell,date);})){classes.push('default');}if(selectionMode==='day'&&(cell.type==='normal'||cell.type==='today')&&this.cellMatchesDate(cell,this.value)){classes.push('current');}if(cell.inRange&&(cell.type==='normal'||cell.type==='today'||this.selectionMode==='week')){classes.push('in-range');if(cell.start){classes.push('start-date');}if(cell.end){classes.push('end-date');}}if(cell.disabled){classes.push('disabled');}if(cell.selected){classes.push('selected');}if(cell.customClass){classes.push(cell.customClass);}return classes.join(' ');},getDateOfCell:function getDateOfCell(row,column){var offsetFromStart=row*7+(column-(this.showWeekNumber?1:0))-this.offsetDay;return Object(date_util_[\"nextDate\"])(this.startDate,offsetFromStart);},isWeekActive:function isWeekActive(cell){if(this.selectionMode!=='week')return false;var newDate=new Date(this.year,this.month,1);var year=newDate.getFullYear();var month=newDate.getMonth();if(cell.type==='prev-month'){newDate.setMonth(month===0?11:month-1);newDate.setFullYear(month===0?year-1:year);}if(cell.type==='next-month'){newDate.setMonth(month===11?0:month+1);newDate.setFullYear(month===11?year+1:year);}newDate.setDate(parseInt(cell.text,10));if(Object(date_util_[\"isDate\"])(this.value)){var dayOffset=(this.value.getDay()-this.firstDayOfWeek+7)%7-1;var weekDate=Object(date_util_[\"prevDate\"])(this.value,dayOffset);return weekDate.getTime()===newDate.getTime();}return false;},markRange:function markRange(minDate,maxDate){minDate=date_tablevue_type_script_lang_js_getDateTimestamp(minDate);maxDate=date_tablevue_type_script_lang_js_getDateTimestamp(maxDate)||minDate;var _ref=[Math.min(minDate,maxDate),Math.max(minDate,maxDate)];minDate=_ref[0];maxDate=_ref[1];var startDate=this.startDate;var rows=this.rows;for(var i=0,k=rows.length;i<k;i++){var row=rows[i];for(var j=0,l=row.length;j<l;j++){if(this.showWeekNumber&&j===0)continue;var _cell=row[j];var index=i*7+j+(this.showWeekNumber?-1:0);var time=Object(date_util_[\"nextDate\"])(startDate,index-this.offsetDay).getTime();_cell.inRange=minDate&&time>=minDate&&time<=maxDate;_cell.start=minDate&&time===minDate;_cell.end=maxDate&&time===maxDate;}}},handleMouseMove:function handleMouseMove(event){if(!this.rangeState.selecting)return;var target=event.target;if(target.tagName==='SPAN'){target=target.parentNode.parentNode;}if(target.tagName==='DIV'){target=target.parentNode;}if(target.tagName!=='TD')return;var row=target.parentNode.rowIndex-1;var column=target.cellIndex;// can not select disabled date\nif(this.rows[row][column].disabled)return;// only update rangeState when mouse moves to a new cell\n// this avoids frequent Date object creation and improves performance\nif(row!==this.lastRow||column!==this.lastColumn){this.lastRow=row;this.lastColumn=column;this.$emit('changerange',{minDate:this.minDate,maxDate:this.maxDate,rangeState:{selecting:true,endDate:this.getDateOfCell(row,column)}});}},handleClick:function handleClick(event){var target=event.target;if(target.tagName==='SPAN'){target=target.parentNode.parentNode;}if(target.tagName==='DIV'){target=target.parentNode;}if(target.tagName!=='TD')return;var row=target.parentNode.rowIndex-1;var column=this.selectionMode==='week'?1:target.cellIndex;var cell=this.rows[row][column];if(cell.disabled||cell.type==='week')return;var newDate=this.getDateOfCell(row,column);if(this.selectionMode==='range'){if(!this.rangeState.selecting){this.$emit('pick',{minDate:newDate,maxDate:null});this.rangeState.selecting=true;}else{if(newDate>=this.minDate){this.$emit('pick',{minDate:this.minDate,maxDate:newDate});}else{this.$emit('pick',{minDate:newDate,maxDate:this.minDate});}this.rangeState.selecting=false;}}else if(this.selectionMode==='day'){this.$emit('pick',newDate);}else if(this.selectionMode==='week'){var weekNumber=Object(date_util_[\"getWeekNumber\"])(newDate);var value=newDate.getFullYear()+'w'+weekNumber;this.$emit('pick',{year:newDate.getFullYear(),week:weekNumber,value:value,date:newDate});}else if(this.selectionMode==='dates'){var _value=this.value||[];var newValue=cell.selected?date_tablevue_type_script_lang_js_removeFromArray(_value,function(date){return date.getTime()===newDate.getTime();}):[].concat(_value,[newDate]);this.$emit('pick',newValue);}}}};// CONCATENATED MODULE: ./packages/date-picker/src/basic/date-table.vue?vue&type=script&lang=js&\n/* harmony default export */var basic_date_tablevue_type_script_lang_js_=date_tablevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/basic/date-table.vue\n/* normalize component */var date_table_component=normalizeComponent(basic_date_tablevue_type_script_lang_js_,date_tablevue_type_template_id_5d1f3341_render,date_tablevue_type_template_id_5d1f3341_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var date_table_api; }date_table_component.options.__file=\"packages/date-picker/src/basic/date-table.vue\";/* harmony default export */var date_table=date_table_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/date.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var datevue_type_script_lang_js_={mixins:[locale_default.a],directives:{Clickoutside:clickoutside_default.a},watch:{showTime:function showTime(val){var _this=this;/* istanbul ignore if */if(!val)return;this.$nextTick(function(_){var inputElm=_this.$refs.input.$el;if(inputElm){_this.pickerWidth=inputElm.getBoundingClientRect().width+10;}});},value:function value(val){if(this.selectionMode==='dates'&&this.value)return;if(this.selectionMode==='months'&&this.value)return;if(this.selectionMode==='years'&&this.value)return;if(Object(date_util_[\"isDate\"])(val)){this.date=new Date(val);}else{this.date=this.getDefaultValue();}},defaultValue:function defaultValue(val){if(!Object(date_util_[\"isDate\"])(this.value)){this.date=val?new Date(val):new Date();}},timePickerVisible:function timePickerVisible(val){var _this2=this;if(val)this.$nextTick(function(){return _this2.$refs.timepicker.adjustSpinners();});},selectionMode:function selectionMode(newVal){if(newVal==='month'){/* istanbul ignore next */if(this.currentView!=='year'||this.currentView!=='month'){this.currentView='month';}}else if(newVal==='dates'){this.currentView='date';}else if(newVal==='years'){this.currentView='year';}else if(newVal==='months'){this.currentView='month';}}},methods:{proxyTimePickerDataProperties:function proxyTimePickerDataProperties(){var _this3=this;var format=function format(timeFormat){_this3.$refs.timepicker.format=timeFormat;};var value=function value(_value){_this3.$refs.timepicker.value=_value;};var date=function date(_date){_this3.$refs.timepicker.date=_date;};var selectableRange=function selectableRange(_selectableRange){_this3.$refs.timepicker.selectableRange=_selectableRange;};this.$watch('value',value);this.$watch('date',date);this.$watch('selectableRange',selectableRange);format(this.timeFormat);value(this.value);date(this.date);selectableRange(this.selectableRange);},handleClear:function handleClear(){this.date=this.getDefaultValue();this.$emit('pick',null);},emit:function emit(value){var _this4=this;for(var _len=arguments.length,args=Array(_len>1?_len-1:0),_key=1;_key<_len;_key++){args[_key-1]=arguments[_key];}if(!value){this.$emit.apply(this,['pick',value].concat(args));}else if(Array.isArray(value)){var dates=value.map(function(date){return _this4.showTime?Object(date_util_[\"clearMilliseconds\"])(date):Object(date_util_[\"clearTime\"])(date);});this.$emit.apply(this,['pick',dates].concat(args));}else{this.$emit.apply(this,['pick',this.showTime?Object(date_util_[\"clearMilliseconds\"])(value):Object(date_util_[\"clearTime\"])(value)].concat(args));}this.userInputDate=null;this.userInputTime=null;},// resetDate() {\n//   this.date = new Date(this.date);\n// },\nshowMonthPicker:function showMonthPicker(){this.currentView='month';},showYearPicker:function showYearPicker(){this.currentView='year';},// XXX: 没用到\n// handleLabelClick() {\n//   if (this.currentView === 'date') {\n//     this.showMonthPicker();\n//   } else if (this.currentView === 'month') {\n//     this.showYearPicker();\n//   }\n// },\nprevMonth:function prevMonth(){this.date=Object(date_util_[\"prevMonth\"])(this.date);},nextMonth:function nextMonth(){this.date=Object(date_util_[\"nextMonth\"])(this.date);},prevYear:function prevYear(){if(this.currentView==='year'){this.date=Object(date_util_[\"prevYear\"])(this.date,10);}else{this.date=Object(date_util_[\"prevYear\"])(this.date);}},nextYear:function nextYear(){if(this.currentView==='year'){this.date=Object(date_util_[\"nextYear\"])(this.date,10);}else{this.date=Object(date_util_[\"nextYear\"])(this.date);}},handleShortcutClick:function handleShortcutClick(shortcut){if(shortcut.onClick){shortcut.onClick(this);}},handleTimePick:function handleTimePick(value,visible,first){if(Object(date_util_[\"isDate\"])(value)){var newDate=this.value?Object(date_util_[\"modifyTime\"])(this.value,value.getHours(),value.getMinutes(),value.getSeconds()):Object(date_util_[\"modifyWithTimeString\"])(this.getDefaultValue(),this.defaultTime);this.date=newDate;this.emit(this.date,true);}else{this.emit(value,true);}if(!first){this.timePickerVisible=visible;}},handleTimePickClose:function handleTimePickClose(){this.timePickerVisible=false;},handleMonthPick:function handleMonthPick(month){if(this.selectionMode==='month'){this.date=Object(date_util_[\"modifyDate\"])(this.date,this.year,month,1);this.emit(this.date);}else if(this.selectionMode==='months'){this.emit(month,true);}else{this.date=Object(date_util_[\"changeYearMonthAndClampDate\"])(this.date,this.year,month);// TODO: should emit intermediate value ??\n// this.emit(this.date);\nthis.currentView='date';}},handleDatePick:function handleDatePick(value){if(this.selectionMode==='day'){var newDate=this.value?Object(date_util_[\"modifyDate\"])(this.value,value.getFullYear(),value.getMonth(),value.getDate()):Object(date_util_[\"modifyWithTimeString\"])(value,this.defaultTime);// change default time while out of selectableRange\nif(!this.checkDateWithinRange(newDate)){newDate=Object(date_util_[\"modifyDate\"])(this.selectableRange[0][0],value.getFullYear(),value.getMonth(),value.getDate());}this.date=newDate;this.emit(this.date,this.showTime);}else if(this.selectionMode==='week'){this.emit(value.date);}else if(this.selectionMode==='dates'){this.emit(value,true);// set false to keep panel open\n}},handleYearPick:function handleYearPick(year){if(this.selectionMode==='year'){this.date=Object(date_util_[\"modifyDate\"])(this.date,year,0,1);this.emit(this.date);}else if(this.selectionMode==='years'){this.emit(year,true);}else{this.date=Object(date_util_[\"changeYearMonthAndClampDate\"])(this.date,year,this.month);// TODO: should emit intermediate value ??\n// this.emit(this.date, true);\nthis.currentView='month';}},changeToNow:function changeToNow(){// NOTE: not a permanent solution\n//       consider disable \"now\" button in the future\nif((!this.disabledDate||!this.disabledDate(new Date()))&&this.checkDateWithinRange(new Date())){this.date=new Date();this.emit(this.date);}},confirm:function confirm(){if(this.selectionMode==='dates'||this.selectionMode==='months'||this.selectionMode==='years'){this.emit(this.value);}else{// value were emitted in handle{Date,Time}Pick, nothing to update here\n// deal with the scenario where: user opens the picker, then confirm without doing anything\nvar value=this.value?this.value:Object(date_util_[\"modifyWithTimeString\"])(this.getDefaultValue(),this.defaultTime);this.date=new Date(value);// refresh date\nthis.emit(value);}},resetView:function resetView(){if(this.selectionMode==='month'||this.selectionMode==='months'){this.currentView='month';}else if(this.selectionMode==='year'||this.selectionMode==='years'){this.currentView='year';}else{this.currentView='date';}},handleEnter:function handleEnter(){document.body.addEventListener('keydown',this.handleKeydown);},handleLeave:function handleLeave(){this.$emit('dodestroy');document.body.removeEventListener('keydown',this.handleKeydown);},handleKeydown:function handleKeydown(event){var keyCode=event.keyCode;var list=[38,40,37,39];if(this.visible&&!this.timePickerVisible){if(list.indexOf(keyCode)!==-1){this.handleKeyControl(keyCode);event.stopPropagation();event.preventDefault();}if(keyCode===13&&this.userInputDate===null&&this.userInputTime===null){// Enter\nthis.emit(this.date,false);}}},handleKeyControl:function handleKeyControl(keyCode){var mapping={'year':{38:-4,40:4,37:-1,39:1,offset:function offset(date,step){return date.setFullYear(date.getFullYear()+step);}},'month':{38:-4,40:4,37:-1,39:1,offset:function offset(date,step){return date.setMonth(date.getMonth()+step);}},'week':{38:-1,40:1,37:-1,39:1,offset:function offset(date,step){return date.setDate(date.getDate()+step*7);}},'day':{38:-7,40:7,37:-1,39:1,offset:function offset(date,step){return date.setDate(date.getDate()+step);}}};var mode=this.selectionMode;var year=3.1536e10;var now=this.date.getTime();var newDate=new Date(this.date.getTime());while(Math.abs(now-newDate.getTime())<=year){var map=mapping[mode];map.offset(newDate,map[keyCode]);if(typeof this.disabledDate==='function'&&this.disabledDate(newDate)){continue;}this.date=newDate;this.$emit('pick',newDate,true);break;}},handleVisibleTimeChange:function handleVisibleTimeChange(value){var time=Object(date_util_[\"parseDate\"])(value,this.timeFormat);if(time&&this.checkDateWithinRange(time)){this.date=Object(date_util_[\"modifyDate\"])(time,this.year,this.month,this.monthDate);this.userInputTime=null;this.$refs.timepicker.value=this.date;this.timePickerVisible=false;this.emit(this.date,true);}},handleVisibleDateChange:function handleVisibleDateChange(value){var date=Object(date_util_[\"parseDate\"])(value,this.dateFormat);if(date){if(typeof this.disabledDate==='function'&&this.disabledDate(date)){return;}this.date=Object(date_util_[\"modifyTime\"])(date,this.date.getHours(),this.date.getMinutes(),this.date.getSeconds());this.userInputDate=null;this.resetView();this.emit(this.date,true);}},isValidValue:function isValidValue(value){return value&&!isNaN(value)&&(typeof this.disabledDate==='function'?!this.disabledDate(value):true)&&this.checkDateWithinRange(value);},getDefaultValue:function getDefaultValue(){// if default-value is set, return it\n// otherwise, return now (the moment this method gets called)\nreturn this.defaultValue?new Date(this.defaultValue):new Date();},checkDateWithinRange:function checkDateWithinRange(date){return this.selectableRange.length>0?Object(date_util_[\"timeWithinRange\"])(date,this.selectableRange,this.format||'HH:mm:ss'):true;}},components:{TimePicker:panel_time,YearTable:year_table,MonthTable:month_table,DateTable:date_table,ElInput:input_default.a,ElButton:button_default.a},data:function data(){return{popperClass:'',date:new Date(),value:'',defaultValue:null,// use getDefaultValue() for time computation\ndefaultTime:null,showTime:false,selectionMode:'day',shortcuts:'',visible:false,currentView:'date',disabledDate:'',cellClassName:'',selectableRange:[],firstDayOfWeek:7,showWeekNumber:false,timePickerVisible:false,format:'',arrowControl:false,userInputDate:null,userInputTime:null};},computed:{year:function year(){return this.date.getFullYear();},month:function month(){return this.date.getMonth();},week:function week(){return Object(date_util_[\"getWeekNumber\"])(this.date);},monthDate:function monthDate(){return this.date.getDate();},footerVisible:function footerVisible(){return this.showTime||this.selectionMode==='dates'||this.selectionMode==='months'||this.selectionMode==='years';},visibleTime:function visibleTime(){if(this.userInputTime!==null){return this.userInputTime;}else{return Object(date_util_[\"formatDate\"])(this.value||this.defaultValue,this.timeFormat);}},visibleDate:function visibleDate(){if(this.userInputDate!==null){return this.userInputDate;}else{return Object(date_util_[\"formatDate\"])(this.value||this.defaultValue,this.dateFormat);}},yearLabel:function yearLabel(){var yearTranslation=this.t('el.datepicker.year');if(this.currentView==='year'){var startYear=Math.floor(this.year/10)*10;if(yearTranslation){return startYear+' '+yearTranslation+' - '+(startYear+9)+' '+yearTranslation;}return startYear+' - '+(startYear+9);}return this.year+' '+yearTranslation;},timeFormat:function timeFormat(){if(this.format){return Object(date_util_[\"extractTimeFormat\"])(this.format);}else{return'HH:mm:ss';}},dateFormat:function dateFormat(){if(this.format){return Object(date_util_[\"extractDateFormat\"])(this.format);}else{return'yyyy-MM-dd';}}}};// CONCATENATED MODULE: ./packages/date-picker/src/panel/date.vue?vue&type=script&lang=js&\n/* harmony default export */var panel_datevue_type_script_lang_js_=datevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/panel/date.vue\n/* normalize component */var date_component=normalizeComponent(panel_datevue_type_script_lang_js_,datevue_type_template_id_2440d4ea_render,datevue_type_template_id_2440d4ea_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var date_api; }date_component.options.__file=\"packages/date-picker/src/panel/date.vue\";/* harmony default export */var panel_date=date_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/date-range.vue?vue&type=template&id=2652849a&\nvar date_rangevue_type_template_id_2652849a_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"after-leave\":function($event){_vm.$emit(\"dodestroy\");}}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-picker-panel el-date-range-picker el-popper\",class:[{\"has-sidebar\":_vm.$slots.sidebar||_vm.shortcuts,\"has-time\":_vm.showTime},_vm.popperClass]},[_c(\"div\",{staticClass:\"el-picker-panel__body-wrapper\"},[_vm._t(\"sidebar\"),_vm.shortcuts?_c(\"div\",{staticClass:\"el-picker-panel__sidebar\"},_vm._l(_vm.shortcuts,function(shortcut,key){return _c(\"button\",{key:key,staticClass:\"el-picker-panel__shortcut\",attrs:{type:\"button\"},on:{click:function($event){_vm.handleShortcutClick(shortcut);}}},[_vm._v(_vm._s(shortcut.text))]);}),0):_vm._e(),_c(\"div\",{staticClass:\"el-picker-panel__body\"},[_vm.showTime?_c(\"div\",{staticClass:\"el-date-range-picker__time-header\"},[_c(\"span\",{staticClass:\"el-date-range-picker__editors-wrap\"},[_c(\"span\",{staticClass:\"el-date-range-picker__time-picker-wrap\"},[_c(\"el-input\",{ref:\"minInput\",staticClass:\"el-date-range-picker__editor\",attrs:{size:\"small\",disabled:_vm.rangeState.selecting,placeholder:_vm.t(\"el.datepicker.startDate\"),value:_vm.minVisibleDate},on:{input:function(val){return _vm.handleDateInput(val,\"min\");},change:function(val){return _vm.handleDateChange(val,\"min\");}}})],1),_c(\"span\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.handleMinTimeClose,expression:\"handleMinTimeClose\"}],staticClass:\"el-date-range-picker__time-picker-wrap\"},[_c(\"el-input\",{staticClass:\"el-date-range-picker__editor\",attrs:{size:\"small\",disabled:_vm.rangeState.selecting,placeholder:_vm.t(\"el.datepicker.startTime\"),value:_vm.minVisibleTime},on:{focus:function($event){_vm.minTimePickerVisible=true;},input:function(val){return _vm.handleTimeInput(val,\"min\");},change:function(val){return _vm.handleTimeChange(val,\"min\");}}}),_c(\"time-picker\",{ref:\"minTimePicker\",attrs:{\"time-arrow-control\":_vm.arrowControl,visible:_vm.minTimePickerVisible},on:{pick:_vm.handleMinTimePick,mounted:function($event){_vm.$refs.minTimePicker.format=_vm.timeFormat;}}})],1)]),_c(\"span\",{staticClass:\"el-icon-arrow-right\"}),_c(\"span\",{staticClass:\"el-date-range-picker__editors-wrap is-right\"},[_c(\"span\",{staticClass:\"el-date-range-picker__time-picker-wrap\"},[_c(\"el-input\",{staticClass:\"el-date-range-picker__editor\",attrs:{size:\"small\",disabled:_vm.rangeState.selecting,placeholder:_vm.t(\"el.datepicker.endDate\"),value:_vm.maxVisibleDate,readonly:!_vm.minDate},on:{input:function(val){return _vm.handleDateInput(val,\"max\");},change:function(val){return _vm.handleDateChange(val,\"max\");}}})],1),_c(\"span\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.handleMaxTimeClose,expression:\"handleMaxTimeClose\"}],staticClass:\"el-date-range-picker__time-picker-wrap\"},[_c(\"el-input\",{staticClass:\"el-date-range-picker__editor\",attrs:{size:\"small\",disabled:_vm.rangeState.selecting,placeholder:_vm.t(\"el.datepicker.endTime\"),value:_vm.maxVisibleTime,readonly:!_vm.minDate},on:{focus:function($event){_vm.minDate&&(_vm.maxTimePickerVisible=true);},input:function(val){return _vm.handleTimeInput(val,\"max\");},change:function(val){return _vm.handleTimeChange(val,\"max\");}}}),_c(\"time-picker\",{ref:\"maxTimePicker\",attrs:{\"time-arrow-control\":_vm.arrowControl,visible:_vm.maxTimePickerVisible},on:{pick:_vm.handleMaxTimePick,mounted:function($event){_vm.$refs.maxTimePicker.format=_vm.timeFormat;}}})],1)])]):_vm._e(),_c(\"div\",{staticClass:\"el-picker-panel__content el-date-range-picker__content is-left\"},[_c(\"div\",{staticClass:\"el-date-range-picker__header\"},[_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-d-arrow-left\",attrs:{type:\"button\"},on:{click:_vm.leftPrevYear}}),_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-arrow-left\",attrs:{type:\"button\"},on:{click:_vm.leftPrevMonth}}),_vm.unlinkPanels?_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-d-arrow-right\",class:{\"is-disabled\":!_vm.enableYearArrow},attrs:{type:\"button\",disabled:!_vm.enableYearArrow},on:{click:_vm.leftNextYear}}):_vm._e(),_vm.unlinkPanels?_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-arrow-right\",class:{\"is-disabled\":!_vm.enableMonthArrow},attrs:{type:\"button\",disabled:!_vm.enableMonthArrow},on:{click:_vm.leftNextMonth}}):_vm._e(),_c(\"div\",[_vm._v(_vm._s(_vm.leftLabel))])]),_c(\"date-table\",{attrs:{\"selection-mode\":\"range\",date:_vm.leftDate,\"default-value\":_vm.defaultValue,\"min-date\":_vm.minDate,\"max-date\":_vm.maxDate,\"range-state\":_vm.rangeState,\"disabled-date\":_vm.disabledDate,\"cell-class-name\":_vm.cellClassName,\"first-day-of-week\":_vm.firstDayOfWeek},on:{changerange:_vm.handleChangeRange,pick:_vm.handleRangePick}})],1),_c(\"div\",{staticClass:\"el-picker-panel__content el-date-range-picker__content is-right\"},[_c(\"div\",{staticClass:\"el-date-range-picker__header\"},[_vm.unlinkPanels?_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-d-arrow-left\",class:{\"is-disabled\":!_vm.enableYearArrow},attrs:{type:\"button\",disabled:!_vm.enableYearArrow},on:{click:_vm.rightPrevYear}}):_vm._e(),_vm.unlinkPanels?_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-arrow-left\",class:{\"is-disabled\":!_vm.enableMonthArrow},attrs:{type:\"button\",disabled:!_vm.enableMonthArrow},on:{click:_vm.rightPrevMonth}}):_vm._e(),_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-d-arrow-right\",attrs:{type:\"button\"},on:{click:_vm.rightNextYear}}),_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-arrow-right\",attrs:{type:\"button\"},on:{click:_vm.rightNextMonth}}),_c(\"div\",[_vm._v(_vm._s(_vm.rightLabel))])]),_c(\"date-table\",{attrs:{\"selection-mode\":\"range\",date:_vm.rightDate,\"default-value\":_vm.defaultValue,\"min-date\":_vm.minDate,\"max-date\":_vm.maxDate,\"range-state\":_vm.rangeState,\"disabled-date\":_vm.disabledDate,\"cell-class-name\":_vm.cellClassName,\"first-day-of-week\":_vm.firstDayOfWeek},on:{changerange:_vm.handleChangeRange,pick:_vm.handleRangePick}})],1)])],2),_vm.showTime?_c(\"div\",{staticClass:\"el-picker-panel__footer\"},[_c(\"el-button\",{staticClass:\"el-picker-panel__link-btn\",attrs:{size:\"mini\",type:\"text\"},on:{click:_vm.handleClear}},[_vm._v(\"\\n        \"+_vm._s(_vm.t(\"el.datepicker.clear\"))+\"\\n      \")]),_c(\"el-button\",{staticClass:\"el-picker-panel__link-btn\",attrs:{plain:\"\",size:\"mini\",disabled:_vm.btnDisabled},on:{click:function($event){_vm.handleConfirm(false);}}},[_vm._v(\"\\n        \"+_vm._s(_vm.t(\"el.datepicker.confirm\"))+\"\\n      \")])],1):_vm._e()])]);};var date_rangevue_type_template_id_2652849a_staticRenderFns=[];date_rangevue_type_template_id_2652849a_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/panel/date-range.vue?vue&type=template&id=2652849a&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/date-range.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar date_rangevue_type_script_lang_js_calcDefaultValue=function calcDefaultValue(defaultValue){if(Array.isArray(defaultValue)){return[new Date(defaultValue[0]),new Date(defaultValue[1])];}else if(defaultValue){return[new Date(defaultValue),Object(date_util_[\"nextDate\"])(new Date(defaultValue),1)];}else{return[new Date(),Object(date_util_[\"nextDate\"])(new Date(),1)];}};/* harmony default export */var date_rangevue_type_script_lang_js_={mixins:[locale_default.a],directives:{Clickoutside:clickoutside_default.a},computed:{btnDisabled:function btnDisabled(){return!(this.minDate&&this.maxDate&&!this.selecting&&this.isValidValue([this.minDate,this.maxDate]));},leftLabel:function leftLabel(){return this.leftDate.getFullYear()+' '+this.t('el.datepicker.year')+' '+this.t('el.datepicker.month'+(this.leftDate.getMonth()+1));},rightLabel:function rightLabel(){return this.rightDate.getFullYear()+' '+this.t('el.datepicker.year')+' '+this.t('el.datepicker.month'+(this.rightDate.getMonth()+1));},leftYear:function leftYear(){return this.leftDate.getFullYear();},leftMonth:function leftMonth(){return this.leftDate.getMonth();},leftMonthDate:function leftMonthDate(){return this.leftDate.getDate();},rightYear:function rightYear(){return this.rightDate.getFullYear();},rightMonth:function rightMonth(){return this.rightDate.getMonth();},rightMonthDate:function rightMonthDate(){return this.rightDate.getDate();},minVisibleDate:function minVisibleDate(){if(this.dateUserInput.min!==null)return this.dateUserInput.min;if(this.minDate)return Object(date_util_[\"formatDate\"])(this.minDate,this.dateFormat);return'';},maxVisibleDate:function maxVisibleDate(){if(this.dateUserInput.max!==null)return this.dateUserInput.max;if(this.maxDate||this.minDate)return Object(date_util_[\"formatDate\"])(this.maxDate||this.minDate,this.dateFormat);return'';},minVisibleTime:function minVisibleTime(){if(this.timeUserInput.min!==null)return this.timeUserInput.min;if(this.minDate)return Object(date_util_[\"formatDate\"])(this.minDate,this.timeFormat);return'';},maxVisibleTime:function maxVisibleTime(){if(this.timeUserInput.max!==null)return this.timeUserInput.max;if(this.maxDate||this.minDate)return Object(date_util_[\"formatDate\"])(this.maxDate||this.minDate,this.timeFormat);return'';},timeFormat:function timeFormat(){if(this.format){return Object(date_util_[\"extractTimeFormat\"])(this.format);}else{return'HH:mm:ss';}},dateFormat:function dateFormat(){if(this.format){return Object(date_util_[\"extractDateFormat\"])(this.format);}else{return'yyyy-MM-dd';}},enableMonthArrow:function enableMonthArrow(){var nextMonth=(this.leftMonth+1)%12;var yearOffset=this.leftMonth+1>=12?1:0;return this.unlinkPanels&&new Date(this.leftYear+yearOffset,nextMonth)<new Date(this.rightYear,this.rightMonth);},enableYearArrow:function enableYearArrow(){return this.unlinkPanels&&this.rightYear*12+this.rightMonth-(this.leftYear*12+this.leftMonth+1)>=12;}},data:function data(){return{popperClass:'',value:[],defaultValue:null,defaultTime:null,minDate:'',maxDate:'',leftDate:new Date(),rightDate:Object(date_util_[\"nextMonth\"])(new Date()),rangeState:{endDate:null,selecting:false,row:null,column:null},showTime:false,shortcuts:'',visible:'',disabledDate:'',cellClassName:'',firstDayOfWeek:7,minTimePickerVisible:false,maxTimePickerVisible:false,format:'',arrowControl:false,unlinkPanels:false,dateUserInput:{min:null,max:null},timeUserInput:{min:null,max:null}};},watch:{minDate:function minDate(val){var _this=this;this.dateUserInput.min=null;this.timeUserInput.min=null;this.$nextTick(function(){if(_this.$refs.maxTimePicker&&_this.maxDate&&_this.maxDate<_this.minDate){var format='HH:mm:ss';_this.$refs.maxTimePicker.selectableRange=[[Object(date_util_[\"parseDate\"])(Object(date_util_[\"formatDate\"])(_this.minDate,format),format),Object(date_util_[\"parseDate\"])('23:59:59',format)]];}});if(val&&this.$refs.minTimePicker){this.$refs.minTimePicker.date=val;this.$refs.minTimePicker.value=val;}},maxDate:function maxDate(val){this.dateUserInput.max=null;this.timeUserInput.max=null;if(val&&this.$refs.maxTimePicker){this.$refs.maxTimePicker.date=val;this.$refs.maxTimePicker.value=val;}},minTimePickerVisible:function minTimePickerVisible(val){var _this2=this;if(val){this.$nextTick(function(){_this2.$refs.minTimePicker.date=_this2.minDate;_this2.$refs.minTimePicker.value=_this2.minDate;_this2.$refs.minTimePicker.adjustSpinners();});}},maxTimePickerVisible:function maxTimePickerVisible(val){var _this3=this;if(val){this.$nextTick(function(){_this3.$refs.maxTimePicker.date=_this3.maxDate;_this3.$refs.maxTimePicker.value=_this3.maxDate;_this3.$refs.maxTimePicker.adjustSpinners();});}},value:function value(newVal){if(!newVal){this.minDate=null;this.maxDate=null;}else if(Array.isArray(newVal)){this.minDate=Object(date_util_[\"isDate\"])(newVal[0])?new Date(newVal[0]):null;this.maxDate=Object(date_util_[\"isDate\"])(newVal[1])?new Date(newVal[1]):null;if(this.minDate){this.leftDate=this.minDate;if(this.unlinkPanels&&this.maxDate){var minDateYear=this.minDate.getFullYear();var minDateMonth=this.minDate.getMonth();var maxDateYear=this.maxDate.getFullYear();var maxDateMonth=this.maxDate.getMonth();this.rightDate=minDateYear===maxDateYear&&minDateMonth===maxDateMonth?Object(date_util_[\"nextMonth\"])(this.maxDate):this.maxDate;}else{this.rightDate=Object(date_util_[\"nextMonth\"])(this.leftDate);}}else{this.leftDate=date_rangevue_type_script_lang_js_calcDefaultValue(this.defaultValue)[0];this.rightDate=Object(date_util_[\"nextMonth\"])(this.leftDate);}}},defaultValue:function defaultValue(val){if(!Array.isArray(this.value)){var _calcDefaultValue=date_rangevue_type_script_lang_js_calcDefaultValue(val),left=_calcDefaultValue[0],right=_calcDefaultValue[1];this.leftDate=left;this.rightDate=val&&val[1]&&this.unlinkPanels?right:Object(date_util_[\"nextMonth\"])(this.leftDate);}}},methods:{handleClear:function handleClear(){this.minDate=null;this.maxDate=null;this.leftDate=date_rangevue_type_script_lang_js_calcDefaultValue(this.defaultValue)[0];this.rightDate=Object(date_util_[\"nextMonth\"])(this.leftDate);this.$emit('pick',null);},handleChangeRange:function handleChangeRange(val){this.minDate=val.minDate;this.maxDate=val.maxDate;this.rangeState=val.rangeState;},handleDateInput:function handleDateInput(value,type){this.dateUserInput[type]=value;if(value.length!==this.dateFormat.length)return;var parsedValue=Object(date_util_[\"parseDate\"])(value,this.dateFormat);if(parsedValue){if(typeof this.disabledDate==='function'&&this.disabledDate(new Date(parsedValue))){return;}if(type==='min'){this.minDate=Object(date_util_[\"modifyDate\"])(this.minDate||new Date(),parsedValue.getFullYear(),parsedValue.getMonth(),parsedValue.getDate());this.leftDate=new Date(parsedValue);if(!this.unlinkPanels){this.rightDate=Object(date_util_[\"nextMonth\"])(this.leftDate);}}else{this.maxDate=Object(date_util_[\"modifyDate\"])(this.maxDate||new Date(),parsedValue.getFullYear(),parsedValue.getMonth(),parsedValue.getDate());this.rightDate=new Date(parsedValue);if(!this.unlinkPanels){this.leftDate=Object(date_util_[\"prevMonth\"])(parsedValue);}}}},handleDateChange:function handleDateChange(value,type){var parsedValue=Object(date_util_[\"parseDate\"])(value,this.dateFormat);if(parsedValue){if(type==='min'){this.minDate=Object(date_util_[\"modifyDate\"])(this.minDate,parsedValue.getFullYear(),parsedValue.getMonth(),parsedValue.getDate());if(this.minDate>this.maxDate){this.maxDate=this.minDate;}}else{this.maxDate=Object(date_util_[\"modifyDate\"])(this.maxDate,parsedValue.getFullYear(),parsedValue.getMonth(),parsedValue.getDate());if(this.maxDate<this.minDate){this.minDate=this.maxDate;}}}},handleTimeInput:function handleTimeInput(value,type){var _this4=this;this.timeUserInput[type]=value;if(value.length!==this.timeFormat.length)return;var parsedValue=Object(date_util_[\"parseDate\"])(value,this.timeFormat);if(parsedValue){if(type==='min'){this.minDate=Object(date_util_[\"modifyTime\"])(this.minDate,parsedValue.getHours(),parsedValue.getMinutes(),parsedValue.getSeconds());this.$nextTick(function(_){return _this4.$refs.minTimePicker.adjustSpinners();});}else{this.maxDate=Object(date_util_[\"modifyTime\"])(this.maxDate,parsedValue.getHours(),parsedValue.getMinutes(),parsedValue.getSeconds());this.$nextTick(function(_){return _this4.$refs.maxTimePicker.adjustSpinners();});}}},handleTimeChange:function handleTimeChange(value,type){var parsedValue=Object(date_util_[\"parseDate\"])(value,this.timeFormat);if(parsedValue){if(type==='min'){this.minDate=Object(date_util_[\"modifyTime\"])(this.minDate,parsedValue.getHours(),parsedValue.getMinutes(),parsedValue.getSeconds());if(this.minDate>this.maxDate){this.maxDate=this.minDate;}this.$refs.minTimePicker.value=this.minDate;this.minTimePickerVisible=false;}else{this.maxDate=Object(date_util_[\"modifyTime\"])(this.maxDate,parsedValue.getHours(),parsedValue.getMinutes(),parsedValue.getSeconds());if(this.maxDate<this.minDate){this.minDate=this.maxDate;}this.$refs.maxTimePicker.value=this.minDate;this.maxTimePickerVisible=false;}}},handleRangePick:function handleRangePick(val){var _this5=this;var close=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var defaultTime=this.defaultTime||[];var minDate=Object(date_util_[\"modifyWithTimeString\"])(val.minDate,defaultTime[0]);var maxDate=Object(date_util_[\"modifyWithTimeString\"])(val.maxDate,defaultTime[1]);if(this.maxDate===maxDate&&this.minDate===minDate){return;}this.onPick&&this.onPick(val);this.maxDate=maxDate;this.minDate=minDate;// workaround for https://github.com/ElemeFE/element/issues/7539, should remove this block when we don't have to care about Chromium 55 - 57\nsetTimeout(function(){_this5.maxDate=maxDate;_this5.minDate=minDate;},10);if(!close||this.showTime)return;this.handleConfirm();},handleShortcutClick:function handleShortcutClick(shortcut){if(shortcut.onClick){shortcut.onClick(this);}},handleMinTimePick:function handleMinTimePick(value,visible,first){this.minDate=this.minDate||new Date();if(value){this.minDate=Object(date_util_[\"modifyTime\"])(this.minDate,value.getHours(),value.getMinutes(),value.getSeconds());}if(!first){this.minTimePickerVisible=visible;}if(!this.maxDate||this.maxDate&&this.maxDate.getTime()<this.minDate.getTime()){this.maxDate=new Date(this.minDate);}},handleMinTimeClose:function handleMinTimeClose(){this.minTimePickerVisible=false;},handleMaxTimePick:function handleMaxTimePick(value,visible,first){if(this.maxDate&&value){this.maxDate=Object(date_util_[\"modifyTime\"])(this.maxDate,value.getHours(),value.getMinutes(),value.getSeconds());}if(!first){this.maxTimePickerVisible=visible;}if(this.maxDate&&this.minDate&&this.minDate.getTime()>this.maxDate.getTime()){this.minDate=new Date(this.maxDate);}},handleMaxTimeClose:function handleMaxTimeClose(){this.maxTimePickerVisible=false;},// leftPrev*, rightNext* need to take care of `unlinkPanels`\nleftPrevYear:function leftPrevYear(){this.leftDate=Object(date_util_[\"prevYear\"])(this.leftDate);if(!this.unlinkPanels){this.rightDate=Object(date_util_[\"nextMonth\"])(this.leftDate);}},leftPrevMonth:function leftPrevMonth(){this.leftDate=Object(date_util_[\"prevMonth\"])(this.leftDate);if(!this.unlinkPanels){this.rightDate=Object(date_util_[\"nextMonth\"])(this.leftDate);}},rightNextYear:function rightNextYear(){if(!this.unlinkPanels){this.leftDate=Object(date_util_[\"nextYear\"])(this.leftDate);this.rightDate=Object(date_util_[\"nextMonth\"])(this.leftDate);}else{this.rightDate=Object(date_util_[\"nextYear\"])(this.rightDate);}},rightNextMonth:function rightNextMonth(){if(!this.unlinkPanels){this.leftDate=Object(date_util_[\"nextMonth\"])(this.leftDate);this.rightDate=Object(date_util_[\"nextMonth\"])(this.leftDate);}else{this.rightDate=Object(date_util_[\"nextMonth\"])(this.rightDate);}},// leftNext*, rightPrev* are called when `unlinkPanels` is true\nleftNextYear:function leftNextYear(){this.leftDate=Object(date_util_[\"nextYear\"])(this.leftDate);},leftNextMonth:function leftNextMonth(){this.leftDate=Object(date_util_[\"nextMonth\"])(this.leftDate);},rightPrevYear:function rightPrevYear(){this.rightDate=Object(date_util_[\"prevYear\"])(this.rightDate);},rightPrevMonth:function rightPrevMonth(){this.rightDate=Object(date_util_[\"prevMonth\"])(this.rightDate);},handleConfirm:function handleConfirm(){var visible=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;if(this.isValidValue([this.minDate,this.maxDate])){this.$emit('pick',[this.minDate,this.maxDate],visible);}},isValidValue:function isValidValue(value){return Array.isArray(value)&&value&&value[0]&&value[1]&&Object(date_util_[\"isDate\"])(value[0])&&Object(date_util_[\"isDate\"])(value[1])&&value[0].getTime()<=value[1].getTime()&&(typeof this.disabledDate==='function'?!this.disabledDate(value[0])&&!this.disabledDate(value[1]):true);},resetView:function resetView(){// NOTE: this is a hack to reset {min, max}Date on picker open.\n// TODO: correct way of doing so is to refactor {min, max}Date to be dependent on value and internal selection state\n//       an alternative would be resetView whenever picker becomes visible, should also investigate date-panel's resetView\nif(this.minDate&&this.maxDate==null)this.rangeState.selecting=false;this.minDate=this.value&&Object(date_util_[\"isDate\"])(this.value[0])?new Date(this.value[0]):null;this.maxDate=this.value&&Object(date_util_[\"isDate\"])(this.value[0])?new Date(this.value[1]):null;}},components:{TimePicker:panel_time,DateTable:date_table,ElInput:input_default.a,ElButton:button_default.a}};// CONCATENATED MODULE: ./packages/date-picker/src/panel/date-range.vue?vue&type=script&lang=js&\n/* harmony default export */var panel_date_rangevue_type_script_lang_js_=date_rangevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/panel/date-range.vue\n/* normalize component */var date_range_component=normalizeComponent(panel_date_rangevue_type_script_lang_js_,date_rangevue_type_template_id_2652849a_render,date_rangevue_type_template_id_2652849a_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var date_range_api; }date_range_component.options.__file=\"packages/date-picker/src/panel/date-range.vue\";/* harmony default export */var date_range=date_range_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/month-range.vue?vue&type=template&id=f2645fb8&\nvar month_rangevue_type_template_id_f2645fb8_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"after-leave\":function($event){_vm.$emit(\"dodestroy\");}}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-picker-panel el-date-range-picker el-popper\",class:[{\"has-sidebar\":_vm.$slots.sidebar||_vm.shortcuts},_vm.popperClass]},[_c(\"div\",{staticClass:\"el-picker-panel__body-wrapper\"},[_vm._t(\"sidebar\"),_vm.shortcuts?_c(\"div\",{staticClass:\"el-picker-panel__sidebar\"},_vm._l(_vm.shortcuts,function(shortcut,key){return _c(\"button\",{key:key,staticClass:\"el-picker-panel__shortcut\",attrs:{type:\"button\"},on:{click:function($event){_vm.handleShortcutClick(shortcut);}}},[_vm._v(_vm._s(shortcut.text))]);}),0):_vm._e(),_c(\"div\",{staticClass:\"el-picker-panel__body\"},[_c(\"div\",{staticClass:\"el-picker-panel__content el-date-range-picker__content is-left\"},[_c(\"div\",{staticClass:\"el-date-range-picker__header\"},[_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-d-arrow-left\",attrs:{type:\"button\"},on:{click:_vm.leftPrevYear}}),_vm.unlinkPanels?_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-d-arrow-right\",class:{\"is-disabled\":!_vm.enableYearArrow},attrs:{type:\"button\",disabled:!_vm.enableYearArrow},on:{click:_vm.leftNextYear}}):_vm._e(),_c(\"div\",[_vm._v(_vm._s(_vm.leftLabel))])]),_c(\"month-table\",{attrs:{\"selection-mode\":\"range\",date:_vm.leftDate,\"default-value\":_vm.defaultValue,\"min-date\":_vm.minDate,\"max-date\":_vm.maxDate,\"range-state\":_vm.rangeState,\"disabled-date\":_vm.disabledDate},on:{changerange:_vm.handleChangeRange,pick:_vm.handleRangePick}})],1),_c(\"div\",{staticClass:\"el-picker-panel__content el-date-range-picker__content is-right\"},[_c(\"div\",{staticClass:\"el-date-range-picker__header\"},[_vm.unlinkPanels?_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-d-arrow-left\",class:{\"is-disabled\":!_vm.enableYearArrow},attrs:{type:\"button\",disabled:!_vm.enableYearArrow},on:{click:_vm.rightPrevYear}}):_vm._e(),_c(\"button\",{staticClass:\"el-picker-panel__icon-btn el-icon-d-arrow-right\",attrs:{type:\"button\"},on:{click:_vm.rightNextYear}}),_c(\"div\",[_vm._v(_vm._s(_vm.rightLabel))])]),_c(\"month-table\",{attrs:{\"selection-mode\":\"range\",date:_vm.rightDate,\"default-value\":_vm.defaultValue,\"min-date\":_vm.minDate,\"max-date\":_vm.maxDate,\"range-state\":_vm.rangeState,\"disabled-date\":_vm.disabledDate},on:{changerange:_vm.handleChangeRange,pick:_vm.handleRangePick}})],1)])],2)])]);};var month_rangevue_type_template_id_f2645fb8_staticRenderFns=[];month_rangevue_type_template_id_f2645fb8_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/panel/month-range.vue?vue&type=template&id=f2645fb8&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/month-range.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar month_rangevue_type_script_lang_js_calcDefaultValue=function calcDefaultValue(defaultValue){if(Array.isArray(defaultValue)){return[new Date(defaultValue[0]),new Date(defaultValue[1])];}else if(defaultValue){return[new Date(defaultValue),Object(date_util_[\"nextMonth\"])(new Date(defaultValue))];}else{return[new Date(),Object(date_util_[\"nextMonth\"])(new Date())];}};/* harmony default export */var month_rangevue_type_script_lang_js_={mixins:[locale_default.a],directives:{Clickoutside:clickoutside_default.a},computed:{btnDisabled:function btnDisabled(){return!(this.minDate&&this.maxDate&&!this.selecting&&this.isValidValue([this.minDate,this.maxDate]));},leftLabel:function leftLabel(){return this.leftDate.getFullYear()+' '+this.t('el.datepicker.year');},rightLabel:function rightLabel(){return this.rightDate.getFullYear()+' '+this.t('el.datepicker.year');},leftYear:function leftYear(){return this.leftDate.getFullYear();},rightYear:function rightYear(){return this.rightDate.getFullYear()===this.leftDate.getFullYear()?this.leftDate.getFullYear()+1:this.rightDate.getFullYear();},enableYearArrow:function enableYearArrow(){return this.unlinkPanels&&this.rightYear>this.leftYear+1;}},data:function data(){return{popperClass:'',value:[],defaultValue:null,defaultTime:null,minDate:'',maxDate:'',leftDate:new Date(),rightDate:Object(date_util_[\"nextYear\"])(new Date()),rangeState:{endDate:null,selecting:false,row:null,column:null},shortcuts:'',visible:'',disabledDate:'',format:'',arrowControl:false,unlinkPanels:false};},watch:{value:function value(newVal){if(!newVal){this.minDate=null;this.maxDate=null;}else if(Array.isArray(newVal)){this.minDate=Object(date_util_[\"isDate\"])(newVal[0])?new Date(newVal[0]):null;this.maxDate=Object(date_util_[\"isDate\"])(newVal[1])?new Date(newVal[1]):null;if(this.minDate){this.leftDate=this.minDate;if(this.unlinkPanels&&this.maxDate){var minDateYear=this.minDate.getFullYear();var maxDateYear=this.maxDate.getFullYear();this.rightDate=minDateYear===maxDateYear?Object(date_util_[\"nextYear\"])(this.maxDate):this.maxDate;}else{this.rightDate=Object(date_util_[\"nextYear\"])(this.leftDate);}}else{this.leftDate=month_rangevue_type_script_lang_js_calcDefaultValue(this.defaultValue)[0];this.rightDate=Object(date_util_[\"nextYear\"])(this.leftDate);}}},defaultValue:function defaultValue(val){if(!Array.isArray(this.value)){var _calcDefaultValue=month_rangevue_type_script_lang_js_calcDefaultValue(val),left=_calcDefaultValue[0],right=_calcDefaultValue[1];this.leftDate=left;this.rightDate=val&&val[1]&&left.getFullYear()!==right.getFullYear()&&this.unlinkPanels?right:Object(date_util_[\"nextYear\"])(this.leftDate);}}},methods:{handleClear:function handleClear(){this.minDate=null;this.maxDate=null;this.leftDate=month_rangevue_type_script_lang_js_calcDefaultValue(this.defaultValue)[0];this.rightDate=Object(date_util_[\"nextYear\"])(this.leftDate);this.$emit('pick',null);},handleChangeRange:function handleChangeRange(val){this.minDate=val.minDate;this.maxDate=val.maxDate;this.rangeState=val.rangeState;},handleRangePick:function handleRangePick(val){var _this=this;var close=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var defaultTime=this.defaultTime||[];var minDate=Object(date_util_[\"modifyWithTimeString\"])(val.minDate,defaultTime[0]);var maxDate=Object(date_util_[\"modifyWithTimeString\"])(val.maxDate,defaultTime[1]);if(this.maxDate===maxDate&&this.minDate===minDate){return;}this.onPick&&this.onPick(val);this.maxDate=maxDate;this.minDate=minDate;// workaround for https://github.com/ElemeFE/element/issues/7539, should remove this block when we don't have to care about Chromium 55 - 57\nsetTimeout(function(){_this.maxDate=maxDate;_this.minDate=minDate;},10);if(!close)return;this.handleConfirm();},handleShortcutClick:function handleShortcutClick(shortcut){if(shortcut.onClick){shortcut.onClick(this);}},// leftPrev*, rightNext* need to take care of `unlinkPanels`\nleftPrevYear:function leftPrevYear(){this.leftDate=Object(date_util_[\"prevYear\"])(this.leftDate);if(!this.unlinkPanels){this.rightDate=Object(date_util_[\"prevYear\"])(this.rightDate);}},rightNextYear:function rightNextYear(){if(!this.unlinkPanels){this.leftDate=Object(date_util_[\"nextYear\"])(this.leftDate);}this.rightDate=Object(date_util_[\"nextYear\"])(this.rightDate);},// leftNext*, rightPrev* are called when `unlinkPanels` is true\nleftNextYear:function leftNextYear(){this.leftDate=Object(date_util_[\"nextYear\"])(this.leftDate);},rightPrevYear:function rightPrevYear(){this.rightDate=Object(date_util_[\"prevYear\"])(this.rightDate);},handleConfirm:function handleConfirm(){var visible=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;if(this.isValidValue([this.minDate,this.maxDate])){this.$emit('pick',[this.minDate,this.maxDate],visible);}},isValidValue:function isValidValue(value){return Array.isArray(value)&&value&&value[0]&&value[1]&&Object(date_util_[\"isDate\"])(value[0])&&Object(date_util_[\"isDate\"])(value[1])&&value[0].getTime()<=value[1].getTime()&&(typeof this.disabledDate==='function'?!this.disabledDate(value[0])&&!this.disabledDate(value[1]):true);},resetView:function resetView(){// NOTE: this is a hack to reset {min, max}Date on picker open.\n// TODO: correct way of doing so is to refactor {min, max}Date to be dependent on value and internal selection state\n//       an alternative would be resetView whenever picker becomes visible, should also investigate date-panel's resetView\nthis.minDate=this.value&&Object(date_util_[\"isDate\"])(this.value[0])?new Date(this.value[0]):null;this.maxDate=this.value&&Object(date_util_[\"isDate\"])(this.value[0])?new Date(this.value[1]):null;}},components:{MonthTable:month_table,ElInput:input_default.a,ElButton:button_default.a}};// CONCATENATED MODULE: ./packages/date-picker/src/panel/month-range.vue?vue&type=script&lang=js&\n/* harmony default export */var panel_month_rangevue_type_script_lang_js_=month_rangevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/panel/month-range.vue\n/* normalize component */var month_range_component=normalizeComponent(panel_month_rangevue_type_script_lang_js_,month_rangevue_type_template_id_f2645fb8_render,month_rangevue_type_template_id_f2645fb8_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var month_range_api; }month_range_component.options.__file=\"packages/date-picker/src/panel/month-range.vue\";/* harmony default export */var month_range=month_range_component.exports;// CONCATENATED MODULE: ./packages/date-picker/src/picker/date-picker.js\nvar date_picker_getPanel=function getPanel(type){if(type==='daterange'||type==='datetimerange'){return date_range;}else if(type==='monthrange'){return month_range;}return panel_date;};/* harmony default export */var date_picker={mixins:[picker],name:'ElDatePicker',props:{type:{type:String,default:'date'},timeArrowControl:Boolean},watch:{type:function type(_type){if(this.picker){this.unmountPicker();this.panel=date_picker_getPanel(_type);this.mountPicker();}else{this.panel=date_picker_getPanel(_type);}}},created:function created(){this.panel=date_picker_getPanel(this.type);}};// CONCATENATED MODULE: ./packages/date-picker/index.js\n/* istanbul ignore next */date_picker.install=function install(Vue){Vue.component(date_picker.name,date_picker);};/* harmony default export */var packages_date_picker=date_picker;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/time-select.vue?vue&type=template&id=51ab9320&\nvar time_selectvue_type_template_id_51ab9320_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"before-enter\":_vm.handleMenuEnter,\"after-leave\":function($event){_vm.$emit(\"dodestroy\");}}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],ref:\"popper\",staticClass:\"el-picker-panel time-select el-popper\",class:_vm.popperClass,style:{width:_vm.width+\"px\"}},[_c(\"el-scrollbar\",{attrs:{noresize:\"\",\"wrap-class\":\"el-picker-panel__content\"}},_vm._l(_vm.items,function(item){return _c(\"div\",{key:item.value,staticClass:\"time-select-item\",class:{selected:_vm.value===item.value,disabled:item.disabled,default:item.value===_vm.defaultValue},attrs:{disabled:item.disabled},on:{click:function($event){_vm.handleClick(item);}}},[_vm._v(_vm._s(item.value))]);}),0)],1)]);};var time_selectvue_type_template_id_51ab9320_staticRenderFns=[];time_selectvue_type_template_id_51ab9320_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/panel/time-select.vue?vue&type=template&id=51ab9320&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/time-select.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar parseTime=function parseTime(time){var values=(time||'').split(':');if(values.length>=2){var hours=parseInt(values[0],10);var minutes=parseInt(values[1],10);return{hours:hours,minutes:minutes};}/* istanbul ignore next */return null;};var compareTime=function compareTime(time1,time2){var value1=parseTime(time1);var value2=parseTime(time2);var minutes1=value1.minutes+value1.hours*60;var minutes2=value2.minutes+value2.hours*60;if(minutes1===minutes2){return 0;}return minutes1>minutes2?1:-1;};var formatTime=function formatTime(time){return(time.hours<10?'0'+time.hours:time.hours)+':'+(time.minutes<10?'0'+time.minutes:time.minutes);};var nextTime=function nextTime(time,step){var timeValue=parseTime(time);var stepValue=parseTime(step);var next={hours:timeValue.hours,minutes:timeValue.minutes};next.minutes+=stepValue.minutes;next.hours+=stepValue.hours;next.hours+=Math.floor(next.minutes/60);next.minutes=next.minutes%60;return formatTime(next);};/* harmony default export */var time_selectvue_type_script_lang_js_={components:{ElScrollbar:scrollbar_default.a},watch:{value:function value(val){var _this=this;if(!val)return;this.$nextTick(function(){return _this.scrollToOption();});}},methods:{handleClick:function handleClick(item){if(!item.disabled){this.$emit('pick',item.value);}},handleClear:function handleClear(){this.$emit('pick',null);},scrollToOption:function scrollToOption(){var selector=arguments.length>0&&arguments[0]!==undefined?arguments[0]:'.selected';var menu=this.$refs.popper.querySelector('.el-picker-panel__content');scroll_into_view_default()(menu,menu.querySelector(selector));},handleMenuEnter:function handleMenuEnter(){var _this2=this;var selected=this.items.map(function(item){return item.value;}).indexOf(this.value)!==-1;var hasDefault=this.items.map(function(item){return item.value;}).indexOf(this.defaultValue)!==-1;var option=selected&&'.selected'||hasDefault&&'.default'||'.time-select-item:not(.disabled)';this.$nextTick(function(){return _this2.scrollToOption(option);});},scrollDown:function scrollDown(step){var items=this.items;var length=items.length;var total=items.length;var index=items.map(function(item){return item.value;}).indexOf(this.value);while(total--){index=(index+step+length)%length;if(!items[index].disabled){this.$emit('pick',items[index].value,true);return;}}},isValidValue:function isValidValue(date){return this.items.filter(function(item){return!item.disabled;}).map(function(item){return item.value;}).indexOf(date)!==-1;},handleKeydown:function handleKeydown(event){var keyCode=event.keyCode;if(keyCode===38||keyCode===40){var mapping={40:1,38:-1};var offset=mapping[keyCode.toString()];this.scrollDown(offset);event.stopPropagation();return;}}},data:function data(){return{popperClass:'',start:'09:00',end:'18:00',step:'00:30',value:'',defaultValue:'',visible:false,minTime:'',maxTime:'',width:0};},computed:{items:function items(){var start=this.start;var end=this.end;var step=this.step;var result=[];if(start&&end&&step){var current=start;while(compareTime(current,end)<=0){result.push({value:current,disabled:compareTime(current,this.minTime||'-1:-1')<=0||compareTime(current,this.maxTime||'100:100')>=0});current=nextTime(current,step);}}return result;}}};// CONCATENATED MODULE: ./packages/date-picker/src/panel/time-select.vue?vue&type=script&lang=js&\n/* harmony default export */var panel_time_selectvue_type_script_lang_js_=time_selectvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/panel/time-select.vue\n/* normalize component */var time_select_component=normalizeComponent(panel_time_selectvue_type_script_lang_js_,time_selectvue_type_template_id_51ab9320_render,time_selectvue_type_template_id_51ab9320_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var time_select_api; }time_select_component.options.__file=\"packages/date-picker/src/panel/time-select.vue\";/* harmony default export */var time_select=time_select_component.exports;// CONCATENATED MODULE: ./packages/date-picker/src/picker/time-select.js\n/* harmony default export */var picker_time_select={mixins:[picker],name:'ElTimeSelect',componentName:'ElTimeSelect',props:{type:{type:String,default:'time-select'}},beforeCreate:function beforeCreate(){this.panel=time_select;}};// CONCATENATED MODULE: ./packages/time-select/index.js\n/* istanbul ignore next */picker_time_select.install=function(Vue){Vue.component(picker_time_select.name,picker_time_select);};/* harmony default export */var packages_time_select=picker_time_select;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/time-range.vue?vue&type=template&id=fb28660e&\nvar time_rangevue_type_template_id_fb28660e_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"after-leave\":function($event){_vm.$emit(\"dodestroy\");}}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-time-range-picker el-picker-panel el-popper\",class:_vm.popperClass},[_c(\"div\",{staticClass:\"el-time-range-picker__content\"},[_c(\"div\",{staticClass:\"el-time-range-picker__cell\"},[_c(\"div\",{staticClass:\"el-time-range-picker__header\"},[_vm._v(_vm._s(_vm.t(\"el.datepicker.startTime\")))]),_c(\"div\",{staticClass:\"el-time-range-picker__body el-time-panel__content\",class:{\"has-seconds\":_vm.showSeconds,\"is-arrow\":_vm.arrowControl}},[_c(\"time-spinner\",{ref:\"minSpinner\",attrs:{\"show-seconds\":_vm.showSeconds,\"am-pm-mode\":_vm.amPmMode,\"arrow-control\":_vm.arrowControl,date:_vm.minDate},on:{change:_vm.handleMinChange,\"select-range\":_vm.setMinSelectionRange}})],1)]),_c(\"div\",{staticClass:\"el-time-range-picker__cell\"},[_c(\"div\",{staticClass:\"el-time-range-picker__header\"},[_vm._v(_vm._s(_vm.t(\"el.datepicker.endTime\")))]),_c(\"div\",{staticClass:\"el-time-range-picker__body el-time-panel__content\",class:{\"has-seconds\":_vm.showSeconds,\"is-arrow\":_vm.arrowControl}},[_c(\"time-spinner\",{ref:\"maxSpinner\",attrs:{\"show-seconds\":_vm.showSeconds,\"am-pm-mode\":_vm.amPmMode,\"arrow-control\":_vm.arrowControl,date:_vm.maxDate},on:{change:_vm.handleMaxChange,\"select-range\":_vm.setMaxSelectionRange}})],1)])]),_c(\"div\",{staticClass:\"el-time-panel__footer\"},[_c(\"button\",{staticClass:\"el-time-panel__btn cancel\",attrs:{type:\"button\"},on:{click:function($event){_vm.handleCancel();}}},[_vm._v(_vm._s(_vm.t(\"el.datepicker.cancel\")))]),_c(\"button\",{staticClass:\"el-time-panel__btn confirm\",attrs:{type:\"button\",disabled:_vm.btnDisabled},on:{click:function($event){_vm.handleConfirm();}}},[_vm._v(_vm._s(_vm.t(\"el.datepicker.confirm\")))])])])]);};var time_rangevue_type_template_id_fb28660e_staticRenderFns=[];time_rangevue_type_template_id_fb28660e_render._withStripped=true;// CONCATENATED MODULE: ./packages/date-picker/src/panel/time-range.vue?vue&type=template&id=fb28660e&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/date-picker/src/panel/time-range.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar MIN_TIME=Object(date_util_[\"parseDate\"])('00:00:00','HH:mm:ss');var MAX_TIME=Object(date_util_[\"parseDate\"])('23:59:59','HH:mm:ss');var time_rangevue_type_script_lang_js_minTimeOfDay=function minTimeOfDay(date){return Object(date_util_[\"modifyDate\"])(MIN_TIME,date.getFullYear(),date.getMonth(),date.getDate());};var time_rangevue_type_script_lang_js_maxTimeOfDay=function maxTimeOfDay(date){return Object(date_util_[\"modifyDate\"])(MAX_TIME,date.getFullYear(),date.getMonth(),date.getDate());};// increase time by amount of milliseconds, but within the range of day\nvar advanceTime=function advanceTime(date,amount){return new Date(Math.min(date.getTime()+amount,time_rangevue_type_script_lang_js_maxTimeOfDay(date).getTime()));};/* harmony default export */var time_rangevue_type_script_lang_js_={mixins:[locale_default.a],components:{TimeSpinner:time_spinner},computed:{showSeconds:function showSeconds(){return(this.format||'').indexOf('ss')!==-1;},offset:function offset(){return this.showSeconds?11:8;},spinner:function spinner(){return this.selectionRange[0]<this.offset?this.$refs.minSpinner:this.$refs.maxSpinner;},btnDisabled:function btnDisabled(){return this.minDate.getTime()>this.maxDate.getTime();},amPmMode:function amPmMode(){if((this.format||'').indexOf('A')!==-1)return'A';if((this.format||'').indexOf('a')!==-1)return'a';return'';}},data:function data(){return{popperClass:'',minDate:new Date(),maxDate:new Date(),value:[],oldValue:[new Date(),new Date()],defaultValue:null,format:'HH:mm:ss',visible:false,selectionRange:[0,2],arrowControl:false};},watch:{value:function value(_value){if(Array.isArray(_value)){this.minDate=new Date(_value[0]);this.maxDate=new Date(_value[1]);}else{if(Array.isArray(this.defaultValue)){this.minDate=new Date(this.defaultValue[0]);this.maxDate=new Date(this.defaultValue[1]);}else if(this.defaultValue){this.minDate=new Date(this.defaultValue);this.maxDate=advanceTime(new Date(this.defaultValue),60*60*1000);}else{this.minDate=new Date();this.maxDate=advanceTime(new Date(),60*60*1000);}}},visible:function visible(val){var _this=this;if(val){this.oldValue=this.value;this.$nextTick(function(){return _this.$refs.minSpinner.emitSelectRange('hours');});}}},methods:{handleClear:function handleClear(){this.$emit('pick',null);},handleCancel:function handleCancel(){this.$emit('pick',this.oldValue);},handleMinChange:function handleMinChange(date){this.minDate=Object(date_util_[\"clearMilliseconds\"])(date);this.handleChange();},handleMaxChange:function handleMaxChange(date){this.maxDate=Object(date_util_[\"clearMilliseconds\"])(date);this.handleChange();},handleChange:function handleChange(){if(this.isValidValue([this.minDate,this.maxDate])){this.$refs.minSpinner.selectableRange=[[time_rangevue_type_script_lang_js_minTimeOfDay(this.minDate),this.maxDate]];this.$refs.maxSpinner.selectableRange=[[this.minDate,time_rangevue_type_script_lang_js_maxTimeOfDay(this.maxDate)]];this.$emit('pick',[this.minDate,this.maxDate],true);}},setMinSelectionRange:function setMinSelectionRange(start,end){this.$emit('select-range',start,end,'min');this.selectionRange=[start,end];},setMaxSelectionRange:function setMaxSelectionRange(start,end){this.$emit('select-range',start,end,'max');this.selectionRange=[start+this.offset,end+this.offset];},handleConfirm:function handleConfirm(){var visible=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;var minSelectableRange=this.$refs.minSpinner.selectableRange;var maxSelectableRange=this.$refs.maxSpinner.selectableRange;this.minDate=Object(date_util_[\"limitTimeRange\"])(this.minDate,minSelectableRange,this.format);this.maxDate=Object(date_util_[\"limitTimeRange\"])(this.maxDate,maxSelectableRange,this.format);this.$emit('pick',[this.minDate,this.maxDate],visible);},adjustSpinners:function adjustSpinners(){this.$refs.minSpinner.adjustSpinners();this.$refs.maxSpinner.adjustSpinners();},changeSelectionRange:function changeSelectionRange(step){var list=this.showSeconds?[0,3,6,11,14,17]:[0,3,8,11];var mapping=['hours','minutes'].concat(this.showSeconds?['seconds']:[]);var index=list.indexOf(this.selectionRange[0]);var next=(index+step+list.length)%list.length;var half=list.length/2;if(next<half){this.$refs.minSpinner.emitSelectRange(mapping[next]);}else{this.$refs.maxSpinner.emitSelectRange(mapping[next-half]);}},isValidValue:function isValidValue(date){return Array.isArray(date)&&Object(date_util_[\"timeWithinRange\"])(this.minDate,this.$refs.minSpinner.selectableRange)&&Object(date_util_[\"timeWithinRange\"])(this.maxDate,this.$refs.maxSpinner.selectableRange);},handleKeydown:function handleKeydown(event){var keyCode=event.keyCode;var mapping={38:-1,40:1,37:-1,39:1};// Left or Right\nif(keyCode===37||keyCode===39){var step=mapping[keyCode];this.changeSelectionRange(step);event.preventDefault();return;}// Up or Down\nif(keyCode===38||keyCode===40){var _step=mapping[keyCode];this.spinner.scrollDown(_step);event.preventDefault();return;}}}};// CONCATENATED MODULE: ./packages/date-picker/src/panel/time-range.vue?vue&type=script&lang=js&\n/* harmony default export */var panel_time_rangevue_type_script_lang_js_=time_rangevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/date-picker/src/panel/time-range.vue\n/* normalize component */var time_range_component=normalizeComponent(panel_time_rangevue_type_script_lang_js_,time_rangevue_type_template_id_fb28660e_render,time_rangevue_type_template_id_fb28660e_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var time_range_api; }time_range_component.options.__file=\"packages/date-picker/src/panel/time-range.vue\";/* harmony default export */var time_range=time_range_component.exports;// CONCATENATED MODULE: ./packages/date-picker/src/picker/time-picker.js\n/* harmony default export */var time_picker={mixins:[picker],name:'ElTimePicker',props:{isRange:Boolean,arrowControl:Boolean},data:function data(){return{type:''};},watch:{isRange:function isRange(_isRange){if(this.picker){this.unmountPicker();this.type=_isRange?'timerange':'time';this.panel=_isRange?time_range:panel_time;this.mountPicker();}else{this.type=_isRange?'timerange':'time';this.panel=_isRange?time_range:panel_time;}}},created:function created(){this.type=this.isRange?'timerange':'time';this.panel=this.isRange?time_range:panel_time;}};// CONCATENATED MODULE: ./packages/time-picker/index.js\n/* istanbul ignore next */time_picker.install=function(Vue){Vue.component(time_picker.name,time_picker);};/* harmony default export */var packages_time_picker=time_picker;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/popover/src/main.vue?vue&type=template&id=52060272&\nvar mainvue_type_template_id_52060272_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"span\",[_c(\"transition\",{attrs:{name:_vm.transition},on:{\"after-enter\":_vm.handleAfterEnter,\"after-leave\":_vm.handleAfterLeave}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:!_vm.disabled&&_vm.showPopper,expression:\"!disabled && showPopper\"}],ref:\"popper\",staticClass:\"el-popover el-popper\",class:[_vm.popperClass,_vm.content&&\"el-popover--plain\"],style:{width:_vm.width+\"px\"},attrs:{role:\"tooltip\",id:_vm.tooltipId,\"aria-hidden\":_vm.disabled||!_vm.showPopper?\"true\":\"false\"}},[_vm.title?_c(\"div\",{staticClass:\"el-popover__title\",domProps:{textContent:_vm._s(_vm.title)}}):_vm._e(),_vm._t(\"default\",[_vm._v(_vm._s(_vm.content))])],2)]),_c(\"span\",{ref:\"wrapper\",staticClass:\"el-popover__reference-wrapper\"},[_vm._t(\"reference\")],2)],1);};var mainvue_type_template_id_52060272_staticRenderFns=[];mainvue_type_template_id_52060272_render._withStripped=true;// CONCATENATED MODULE: ./packages/popover/src/main.vue?vue&type=template&id=52060272&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/popover/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var mainvue_type_script_lang_js_={name:'ElPopover',mixins:[vue_popper_default.a],props:{trigger:{type:String,default:'click',validator:function validator(value){return['click','focus','hover','manual'].indexOf(value)>-1;}},openDelay:{type:Number,default:0},closeDelay:{type:Number,default:200},title:String,disabled:Boolean,content:String,reference:{},popperClass:String,width:{},visibleArrow:{default:true},arrowOffset:{type:Number,default:0},transition:{type:String,default:'fade-in-linear'},tabindex:{type:Number,default:0}},computed:{tooltipId:function tooltipId(){return'el-popover-'+Object(util_[\"generateId\"])();}},watch:{showPopper:function showPopper(val){if(this.disabled){return;}val?this.$emit('show'):this.$emit('hide');}},mounted:function mounted(){var _this=this;var reference=this.referenceElm=this.reference||this.$refs.reference;var popper=this.popper||this.$refs.popper;if(!reference&&this.$refs.wrapper.children){reference=this.referenceElm=this.$refs.wrapper.children[0];}// 可访问性\nif(reference){Object(dom_[\"addClass\"])(reference,'el-popover__reference');reference.setAttribute('aria-describedby',this.tooltipId);reference.setAttribute('tabindex',this.tabindex);// tab序列\npopper.setAttribute('tabindex',0);if(this.trigger!=='click'){Object(dom_[\"on\"])(reference,'focusin',function(){_this.handleFocus();var instance=reference.__vue__;if(instance&&typeof instance.focus==='function'){instance.focus();}});Object(dom_[\"on\"])(popper,'focusin',this.handleFocus);Object(dom_[\"on\"])(reference,'focusout',this.handleBlur);Object(dom_[\"on\"])(popper,'focusout',this.handleBlur);}Object(dom_[\"on\"])(reference,'keydown',this.handleKeydown);Object(dom_[\"on\"])(reference,'click',this.handleClick);}if(this.trigger==='click'){Object(dom_[\"on\"])(reference,'click',this.doToggle);Object(dom_[\"on\"])(document,'click',this.handleDocumentClick);}else if(this.trigger==='hover'){Object(dom_[\"on\"])(reference,'mouseenter',this.handleMouseEnter);Object(dom_[\"on\"])(popper,'mouseenter',this.handleMouseEnter);Object(dom_[\"on\"])(reference,'mouseleave',this.handleMouseLeave);Object(dom_[\"on\"])(popper,'mouseleave',this.handleMouseLeave);}else if(this.trigger==='focus'){if(this.tabindex<0){console.warn('[Element Warn][Popover]a negative taindex means that the element cannot be focused by tab key');}if(reference.querySelector('input, textarea')){Object(dom_[\"on\"])(reference,'focusin',this.doShow);Object(dom_[\"on\"])(reference,'focusout',this.doClose);}else{Object(dom_[\"on\"])(reference,'mousedown',this.doShow);Object(dom_[\"on\"])(reference,'mouseup',this.doClose);}}},beforeDestroy:function beforeDestroy(){this.cleanup();},deactivated:function deactivated(){this.cleanup();},methods:{doToggle:function doToggle(){this.showPopper=!this.showPopper;},doShow:function doShow(){this.showPopper=true;},doClose:function doClose(){this.showPopper=false;},handleFocus:function handleFocus(){Object(dom_[\"addClass\"])(this.referenceElm,'focusing');if(this.trigger==='click'||this.trigger==='focus')this.showPopper=true;},handleClick:function handleClick(){Object(dom_[\"removeClass\"])(this.referenceElm,'focusing');},handleBlur:function handleBlur(){Object(dom_[\"removeClass\"])(this.referenceElm,'focusing');if(this.trigger==='click'||this.trigger==='focus')this.showPopper=false;},handleMouseEnter:function handleMouseEnter(){var _this2=this;clearTimeout(this._timer);if(this.openDelay){this._timer=setTimeout(function(){_this2.showPopper=true;},this.openDelay);}else{this.showPopper=true;}},handleKeydown:function handleKeydown(ev){if(ev.keyCode===27&&this.trigger!=='manual'){// esc\nthis.doClose();}},handleMouseLeave:function handleMouseLeave(){var _this3=this;clearTimeout(this._timer);if(this.closeDelay){this._timer=setTimeout(function(){_this3.showPopper=false;},this.closeDelay);}else{this.showPopper=false;}},handleDocumentClick:function handleDocumentClick(e){var reference=this.reference||this.$refs.reference;var popper=this.popper||this.$refs.popper;if(!reference&&this.$refs.wrapper.children){reference=this.referenceElm=this.$refs.wrapper.children[0];}if(!this.$el||!reference||this.$el.contains(e.target)||reference.contains(e.target)||!popper||popper.contains(e.target))return;this.showPopper=false;},handleAfterEnter:function handleAfterEnter(){this.$emit('after-enter');},handleAfterLeave:function handleAfterLeave(){this.$emit('after-leave');this.doDestroy();},cleanup:function cleanup(){if(this.openDelay||this.closeDelay){clearTimeout(this._timer);}}},destroyed:function destroyed(){var reference=this.reference;Object(dom_[\"off\"])(reference,'click',this.doToggle);Object(dom_[\"off\"])(reference,'mouseup',this.doClose);Object(dom_[\"off\"])(reference,'mousedown',this.doShow);Object(dom_[\"off\"])(reference,'focusin',this.doShow);Object(dom_[\"off\"])(reference,'focusout',this.doClose);Object(dom_[\"off\"])(reference,'mousedown',this.doShow);Object(dom_[\"off\"])(reference,'mouseup',this.doClose);Object(dom_[\"off\"])(reference,'mouseleave',this.handleMouseLeave);Object(dom_[\"off\"])(reference,'mouseenter',this.handleMouseEnter);Object(dom_[\"off\"])(document,'click',this.handleDocumentClick);}};// CONCATENATED MODULE: ./packages/popover/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var src_mainvue_type_script_lang_js_=mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/popover/src/main.vue\n/* normalize component */var main_component=normalizeComponent(src_mainvue_type_script_lang_js_,mainvue_type_template_id_52060272_render,mainvue_type_template_id_52060272_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var main_api; }main_component.options.__file=\"packages/popover/src/main.vue\";/* harmony default export */var main=main_component.exports;// CONCATENATED MODULE: ./packages/popover/src/directive.js\nvar getReference=function getReference(el,binding,vnode){var _ref=binding.expression?binding.value:binding.arg;var popper=vnode.context.$refs[_ref];if(popper){if(Array.isArray(popper)){popper[0].$refs.reference=el;}else{popper.$refs.reference=el;}}};/* harmony default export */var directive={bind:function bind(el,binding,vnode){getReference(el,binding,vnode);},inserted:function inserted(el,binding,vnode){getReference(el,binding,vnode);}};// CONCATENATED MODULE: ./packages/popover/index.js\nexternal_vue_default.a.directive('popover',directive);/* istanbul ignore next */main.install=function(Vue){Vue.directive('popover',directive);Vue.component(main.name,main);};main.directive=directive;/* harmony default export */var popover=main;// CONCATENATED MODULE: ./packages/tooltip/src/main.js\n/* harmony default export */var src_main={name:'ElTooltip',mixins:[vue_popper_default.a],props:{openDelay:{type:Number,default:0},disabled:Boolean,manual:Boolean,effect:{type:String,default:'dark'},arrowOffset:{type:Number,default:0},popperClass:String,content:String,visibleArrow:{default:true},transition:{type:String,default:'el-fade-in-linear'},popperOptions:{default:function _default(){return{boundariesPadding:10,gpuAcceleration:false};}},enterable:{type:Boolean,default:true},hideAfter:{type:Number,default:0},tabindex:{type:Number,default:0}},data:function data(){return{tooltipId:'el-tooltip-'+Object(util_[\"generateId\"])(),timeoutPending:null,focusing:false};},beforeCreate:function beforeCreate(){var _this=this;if(this.$isServer)return;this.popperVM=new external_vue_default.a({data:{node:''},render:function render(h){return this.node;}}).$mount();this.debounceClose=debounce_default()(200,function(){return _this.handleClosePopper();});},render:function render(h){var _this2=this;if(this.popperVM){this.popperVM.node=h('transition',{attrs:{name:this.transition},on:{'afterLeave':this.doDestroy}},[h('div',{on:{'mouseleave':function mouseleave(){_this2.setExpectedState(false);_this2.debounceClose();},'mouseenter':function mouseenter(){_this2.setExpectedState(true);}},ref:'popper',attrs:{role:'tooltip',id:this.tooltipId,'aria-hidden':this.disabled||!this.showPopper?'true':'false'},directives:[{name:'show',value:!this.disabled&&this.showPopper}],'class':['el-tooltip__popper','is-'+this.effect,this.popperClass]},[this.$slots.content||this.content])]);}var firstElement=this.getFirstElement();if(!firstElement)return null;var data=firstElement.data=firstElement.data||{};data.staticClass=this.addTooltipClass(data.staticClass);return firstElement;},mounted:function mounted(){var _this3=this;this.referenceElm=this.$el;if(this.$el.nodeType===1){this.$el.setAttribute('aria-describedby',this.tooltipId);this.$el.setAttribute('tabindex',this.tabindex);Object(dom_[\"on\"])(this.referenceElm,'mouseenter',this.show);Object(dom_[\"on\"])(this.referenceElm,'mouseleave',this.hide);Object(dom_[\"on\"])(this.referenceElm,'focus',function(){if(!_this3.$slots.default||!_this3.$slots.default.length){_this3.handleFocus();return;}var instance=_this3.$slots.default[0].componentInstance;if(instance&&instance.focus){instance.focus();}else{_this3.handleFocus();}});Object(dom_[\"on\"])(this.referenceElm,'blur',this.handleBlur);Object(dom_[\"on\"])(this.referenceElm,'click',this.removeFocusing);}// fix issue https://github.com/ElemeFE/element/issues/14424\nif(this.value&&this.popperVM){this.popperVM.$nextTick(function(){if(_this3.value){_this3.updatePopper();}});}},watch:{focusing:function focusing(val){if(val){Object(dom_[\"addClass\"])(this.referenceElm,'focusing');}else{Object(dom_[\"removeClass\"])(this.referenceElm,'focusing');}}},methods:{show:function show(){this.setExpectedState(true);this.handleShowPopper();},hide:function hide(){this.setExpectedState(false);this.debounceClose();},handleFocus:function handleFocus(){this.focusing=true;this.show();},handleBlur:function handleBlur(){this.focusing=false;this.hide();},removeFocusing:function removeFocusing(){this.focusing=false;},addTooltipClass:function addTooltipClass(prev){if(!prev){return'el-tooltip';}else{return'el-tooltip '+prev.replace('el-tooltip','');}},handleShowPopper:function handleShowPopper(){var _this4=this;if(!this.expectedState||this.manual)return;clearTimeout(this.timeout);this.timeout=setTimeout(function(){_this4.showPopper=true;},this.openDelay);if(this.hideAfter>0){this.timeoutPending=setTimeout(function(){_this4.showPopper=false;},this.hideAfter);}},handleClosePopper:function handleClosePopper(){if(this.enterable&&this.expectedState||this.manual)return;clearTimeout(this.timeout);if(this.timeoutPending){clearTimeout(this.timeoutPending);}this.showPopper=false;if(this.disabled){this.doDestroy();}},setExpectedState:function setExpectedState(expectedState){if(expectedState===false){clearTimeout(this.timeoutPending);}this.expectedState=expectedState;},getFirstElement:function getFirstElement(){var slots=this.$slots.default;if(!Array.isArray(slots))return null;var element=null;for(var index=0;index<slots.length;index++){if(slots[index]&&slots[index].tag){element=slots[index];break;};}return element;}},beforeDestroy:function beforeDestroy(){this.popperVM&&this.popperVM.$destroy();},destroyed:function destroyed(){var reference=this.referenceElm;if(reference.nodeType===1){Object(dom_[\"off\"])(reference,'mouseenter',this.show);Object(dom_[\"off\"])(reference,'mouseleave',this.hide);Object(dom_[\"off\"])(reference,'focus',this.handleFocus);Object(dom_[\"off\"])(reference,'blur',this.handleBlur);Object(dom_[\"off\"])(reference,'click',this.removeFocusing);}}};// CONCATENATED MODULE: ./packages/tooltip/index.js\n/* istanbul ignore next */src_main.install=function(Vue){Vue.component(src_main.name,src_main);};/* harmony default export */var packages_tooltip=src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/message-box/src/main.vue?vue&type=template&id=6b29b012&\nvar mainvue_type_template_id_6b29b012_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"msgbox-fade\"}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-message-box__wrapper\",attrs:{tabindex:\"-1\",role:\"dialog\",\"aria-modal\":\"true\",\"aria-label\":_vm.title||\"dialog\"},on:{click:function($event){if($event.target!==$event.currentTarget){return null;}return _vm.handleWrapperClick($event);}}},[_c(\"div\",{staticClass:\"el-message-box\",class:[_vm.customClass,_vm.center&&\"el-message-box--center\"]},[_vm.title!==null?_c(\"div\",{staticClass:\"el-message-box__header\"},[_c(\"div\",{staticClass:\"el-message-box__title\"},[_vm.icon&&_vm.center?_c(\"div\",{class:[\"el-message-box__status\",_vm.icon]}):_vm._e(),_c(\"span\",[_vm._v(_vm._s(_vm.title))])]),_vm.showClose?_c(\"button\",{staticClass:\"el-message-box__headerbtn\",attrs:{type:\"button\",\"aria-label\":\"Close\"},on:{click:function($event){_vm.handleAction(_vm.distinguishCancelAndClose?\"close\":\"cancel\");},keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}_vm.handleAction(_vm.distinguishCancelAndClose?\"close\":\"cancel\");}}},[_c(\"i\",{staticClass:\"el-message-box__close el-icon-close\"})]):_vm._e()]):_vm._e(),_c(\"div\",{staticClass:\"el-message-box__content\"},[_c(\"div\",{staticClass:\"el-message-box__container\"},[_vm.icon&&!_vm.center&&_vm.message!==\"\"?_c(\"div\",{class:[\"el-message-box__status\",_vm.icon]}):_vm._e(),_vm.message!==\"\"?_c(\"div\",{staticClass:\"el-message-box__message\"},[_vm._t(\"default\",[!_vm.dangerouslyUseHTMLString?_c(\"p\",[_vm._v(_vm._s(_vm.message))]):_c(\"p\",{domProps:{innerHTML:_vm._s(_vm.message)}})])],2):_vm._e()]),_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.showInput,expression:\"showInput\"}],staticClass:\"el-message-box__input\"},[_c(\"el-input\",{ref:\"input\",attrs:{type:_vm.inputType,placeholder:_vm.inputPlaceholder},nativeOn:{keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}return _vm.handleInputEnter($event);}},model:{value:_vm.inputValue,callback:function($$v){_vm.inputValue=$$v;},expression:\"inputValue\"}}),_c(\"div\",{staticClass:\"el-message-box__errormsg\",style:{visibility:!!_vm.editorErrorMessage?\"visible\":\"hidden\"}},[_vm._v(_vm._s(_vm.editorErrorMessage))])],1)]),_c(\"div\",{staticClass:\"el-message-box__btns\"},[_vm.showCancelButton?_c(\"el-button\",{class:[_vm.cancelButtonClasses],attrs:{loading:_vm.cancelButtonLoading,round:_vm.roundButton,size:\"small\"},on:{keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}_vm.handleAction(\"cancel\");}},nativeOn:{click:function($event){_vm.handleAction(\"cancel\");}}},[_vm._v(\"\\n          \"+_vm._s(_vm.cancelButtonText||_vm.t(\"el.messagebox.cancel\"))+\"\\n        \")]):_vm._e(),_c(\"el-button\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.showConfirmButton,expression:\"showConfirmButton\"}],ref:\"confirm\",class:[_vm.confirmButtonClasses],attrs:{loading:_vm.confirmButtonLoading,round:_vm.roundButton,size:\"small\"},on:{keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}_vm.handleAction(\"confirm\");}},nativeOn:{click:function($event){_vm.handleAction(\"confirm\");}}},[_vm._v(\"\\n          \"+_vm._s(_vm.confirmButtonText||_vm.t(\"el.messagebox.confirm\"))+\"\\n        \")])],1)])])]);};var mainvue_type_template_id_6b29b012_staticRenderFns=[];mainvue_type_template_id_6b29b012_render._withStripped=true;// CONCATENATED MODULE: ./packages/message-box/src/main.vue?vue&type=template&id=6b29b012&\n// EXTERNAL MODULE: external \"element-ui/lib/locale\"\nvar lib_locale_=__nested_webpack_require_8056__(12);var lib_locale_default=/*#__PURE__*/__nested_webpack_require_8056__.n(lib_locale_);// EXTERNAL MODULE: external \"element-ui/lib/utils/aria-dialog\"\nvar aria_dialog_=__nested_webpack_require_8056__(40);var aria_dialog_default=/*#__PURE__*/__nested_webpack_require_8056__.n(aria_dialog_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/message-box/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar messageBox=void 0;var typeMap={success:'success',info:'info',warning:'warning',error:'error'};/* harmony default export */var message_box_src_mainvue_type_script_lang_js_={mixins:[popup_default.a,locale_default.a],props:{modal:{default:true},lockScroll:{default:true},showClose:{type:Boolean,default:true},closeOnClickModal:{default:true},closeOnPressEscape:{default:true},closeOnHashChange:{default:true},center:{default:false,type:Boolean},roundButton:{default:false,type:Boolean}},components:{ElInput:input_default.a,ElButton:button_default.a},computed:{icon:function icon(){var type=this.type,iconClass=this.iconClass;return iconClass||(type&&typeMap[type]?'el-icon-'+typeMap[type]:'');},confirmButtonClasses:function confirmButtonClasses(){return'el-button--primary '+this.confirmButtonClass;},cancelButtonClasses:function cancelButtonClasses(){return''+this.cancelButtonClass;}},methods:{getSafeClose:function getSafeClose(){var _this=this;var currentId=this.uid;return function(){_this.$nextTick(function(){if(currentId===_this.uid)_this.doClose();});};},doClose:function doClose(){var _this2=this;if(!this.visible)return;this.visible=false;this._closing=true;this.onClose&&this.onClose();messageBox.closeDialog();// 解绑\nif(this.lockScroll){setTimeout(this.restoreBodyStyle,200);}this.opened=false;this.doAfterClose();setTimeout(function(){if(_this2.action)_this2.callback(_this2.action,_this2);});},handleWrapperClick:function handleWrapperClick(){if(this.closeOnClickModal){this.handleAction(this.distinguishCancelAndClose?'close':'cancel');}},handleInputEnter:function handleInputEnter(){if(this.inputType!=='textarea'){return this.handleAction('confirm');}},handleAction:function handleAction(action){if(this.$type==='prompt'&&action==='confirm'&&!this.validate()){return;}this.action=action;if(typeof this.beforeClose==='function'){this.close=this.getSafeClose();this.beforeClose(action,this,this.close);}else{this.doClose();}},validate:function validate(){if(this.$type==='prompt'){var inputPattern=this.inputPattern;if(inputPattern&&!inputPattern.test(this.inputValue||'')){this.editorErrorMessage=this.inputErrorMessage||Object(lib_locale_[\"t\"])('el.messagebox.error');Object(dom_[\"addClass\"])(this.getInputElement(),'invalid');return false;}var inputValidator=this.inputValidator;if(typeof inputValidator==='function'){var validateResult=inputValidator(this.inputValue);if(validateResult===false){this.editorErrorMessage=this.inputErrorMessage||Object(lib_locale_[\"t\"])('el.messagebox.error');Object(dom_[\"addClass\"])(this.getInputElement(),'invalid');return false;}if(typeof validateResult==='string'){this.editorErrorMessage=validateResult;Object(dom_[\"addClass\"])(this.getInputElement(),'invalid');return false;}}}this.editorErrorMessage='';Object(dom_[\"removeClass\"])(this.getInputElement(),'invalid');return true;},getFirstFocus:function getFirstFocus(){var btn=this.$el.querySelector('.el-message-box__btns .el-button');var title=this.$el.querySelector('.el-message-box__btns .el-message-box__title');return btn||title;},getInputElement:function getInputElement(){var inputRefs=this.$refs.input.$refs;return inputRefs.input||inputRefs.textarea;},handleClose:function handleClose(){this.handleAction('close');}},watch:{inputValue:{immediate:true,handler:function handler(val){var _this3=this;this.$nextTick(function(_){if(_this3.$type==='prompt'&&val!==null){_this3.validate();}});}},visible:function visible(val){var _this4=this;if(val){this.uid++;if(this.$type==='alert'||this.$type==='confirm'){this.$nextTick(function(){_this4.$refs.confirm.$el.focus();});}this.focusAfterClosed=document.activeElement;messageBox=new aria_dialog_default.a(this.$el,this.focusAfterClosed,this.getFirstFocus());}// prompt\nif(this.$type!=='prompt')return;if(val){setTimeout(function(){if(_this4.$refs.input&&_this4.$refs.input.$el){_this4.getInputElement().focus();}},500);}else{this.editorErrorMessage='';Object(dom_[\"removeClass\"])(this.getInputElement(),'invalid');}}},mounted:function mounted(){var _this5=this;this.$nextTick(function(){if(_this5.closeOnHashChange){window.addEventListener('hashchange',_this5.close);}});},beforeDestroy:function beforeDestroy(){if(this.closeOnHashChange){window.removeEventListener('hashchange',this.close);}setTimeout(function(){messageBox.closeDialog();});},data:function data(){return{uid:1,title:undefined,message:'',type:'',iconClass:'',customClass:'',showInput:false,inputValue:null,inputPlaceholder:'',inputType:'text',inputPattern:null,inputValidator:null,inputErrorMessage:'',showConfirmButton:true,showCancelButton:false,action:'',confirmButtonText:'',cancelButtonText:'',confirmButtonLoading:false,cancelButtonLoading:false,confirmButtonClass:'',confirmButtonDisabled:false,cancelButtonClass:'',editorErrorMessage:null,callback:null,dangerouslyUseHTMLString:false,focusAfterClosed:null,isOnComposition:false,distinguishCancelAndClose:false};}};// CONCATENATED MODULE: ./packages/message-box/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_message_box_src_mainvue_type_script_lang_js_=message_box_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/message-box/src/main.vue\n/* normalize component */var src_main_component=normalizeComponent(packages_message_box_src_mainvue_type_script_lang_js_,mainvue_type_template_id_6b29b012_render,mainvue_type_template_id_6b29b012_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var src_main_api; }src_main_component.options.__file=\"packages/message-box/src/main.vue\";/* harmony default export */var message_box_src_main=src_main_component.exports;// EXTERNAL MODULE: external \"element-ui/lib/utils/vdom\"\nvar vdom_=__nested_webpack_require_8056__(22);// CONCATENATED MODULE: ./packages/message-box/src/main.js\nvar main_typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(obj){return typeof obj;}:function(obj){return obj&&typeof Symbol===\"function\"&&obj.constructor===Symbol&&obj!==Symbol.prototype?\"symbol\":typeof obj;};var main_defaults={title:null,message:'',type:'',iconClass:'',showInput:false,showClose:true,modalFade:true,lockScroll:true,closeOnClickModal:true,closeOnPressEscape:true,closeOnHashChange:true,inputValue:null,inputPlaceholder:'',inputType:'text',inputPattern:null,inputValidator:null,inputErrorMessage:'',showConfirmButton:true,showCancelButton:false,confirmButtonPosition:'right',confirmButtonHighlight:false,cancelButtonHighlight:false,confirmButtonText:'',cancelButtonText:'',confirmButtonClass:'',cancelButtonClass:'',customClass:'',beforeClose:null,dangerouslyUseHTMLString:false,center:false,roundButton:false,distinguishCancelAndClose:false};var MessageBoxConstructor=external_vue_default.a.extend(message_box_src_main);var currentMsg=void 0,main_instance=void 0;var msgQueue=[];var defaultCallback=function defaultCallback(action){if(currentMsg){var callback=currentMsg.callback;if(typeof callback==='function'){if(main_instance.showInput){callback(main_instance.inputValue,action);}else{callback(action);}}if(currentMsg.resolve){if(action==='confirm'){if(main_instance.showInput){currentMsg.resolve({value:main_instance.inputValue,action:action});}else{currentMsg.resolve(action);}}else if(currentMsg.reject&&(action==='cancel'||action==='close')){currentMsg.reject(action);}}}};var initInstance=function initInstance(){main_instance=new MessageBoxConstructor({el:document.createElement('div')});main_instance.callback=defaultCallback;};var main_showNextMsg=function showNextMsg(){if(!main_instance){initInstance();}main_instance.action='';if(!main_instance.visible||main_instance.closeTimer){if(msgQueue.length>0){currentMsg=msgQueue.shift();var options=currentMsg.options;for(var prop in options){if(options.hasOwnProperty(prop)){main_instance[prop]=options[prop];}}if(options.callback===undefined){main_instance.callback=defaultCallback;}var oldCb=main_instance.callback;main_instance.callback=function(action,instance){oldCb(action,instance);showNextMsg();};if(Object(vdom_[\"isVNode\"])(main_instance.message)){main_instance.$slots.default=[main_instance.message];main_instance.message=null;}else{delete main_instance.$slots.default;}['modal','showClose','closeOnClickModal','closeOnPressEscape','closeOnHashChange'].forEach(function(prop){if(main_instance[prop]===undefined){main_instance[prop]=true;}});document.body.appendChild(main_instance.$el);external_vue_default.a.nextTick(function(){main_instance.visible=true;});}}};var main_MessageBox=function MessageBox(options,callback){if(external_vue_default.a.prototype.$isServer)return;if(typeof options==='string'||Object(vdom_[\"isVNode\"])(options)){options={message:options};if(typeof arguments[1]==='string'){options.title=arguments[1];}}else if(options.callback&&!callback){callback=options.callback;}if(typeof Promise!=='undefined'){return new Promise(function(resolve,reject){// eslint-disable-line\nmsgQueue.push({options:merge_default()({},main_defaults,MessageBox.defaults,options),callback:callback,resolve:resolve,reject:reject});main_showNextMsg();});}else{msgQueue.push({options:merge_default()({},main_defaults,MessageBox.defaults,options),callback:callback});main_showNextMsg();}};main_MessageBox.setDefaults=function(defaults){main_MessageBox.defaults=defaults;};main_MessageBox.alert=function(message,title,options){if((typeof title==='undefined'?'undefined':main_typeof(title))==='object'){options=title;title='';}else if(title===undefined){title='';}return main_MessageBox(merge_default()({title:title,message:message,$type:'alert',closeOnPressEscape:false,closeOnClickModal:false},options));};main_MessageBox.confirm=function(message,title,options){if((typeof title==='undefined'?'undefined':main_typeof(title))==='object'){options=title;title='';}else if(title===undefined){title='';}return main_MessageBox(merge_default()({title:title,message:message,$type:'confirm',showCancelButton:true},options));};main_MessageBox.prompt=function(message,title,options){if((typeof title==='undefined'?'undefined':main_typeof(title))==='object'){options=title;title='';}else if(title===undefined){title='';}return main_MessageBox(merge_default()({title:title,message:message,showCancelButton:true,showInput:true,$type:'prompt'},options));};main_MessageBox.close=function(){main_instance.doClose();main_instance.visible=false;msgQueue=[];currentMsg=null;};/* harmony default export */var packages_message_box_src_main=main_MessageBox;// CONCATENATED MODULE: ./packages/message-box/index.js\n/* harmony default export */var message_box=packages_message_box_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/breadcrumb/src/breadcrumb.vue?vue&type=template&id=4b464c06&\nvar breadcrumbvue_type_template_id_4b464c06_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-breadcrumb\",attrs:{\"aria-label\":\"Breadcrumb\",role:\"navigation\"}},[_vm._t(\"default\")],2);};var breadcrumbvue_type_template_id_4b464c06_staticRenderFns=[];breadcrumbvue_type_template_id_4b464c06_render._withStripped=true;// CONCATENATED MODULE: ./packages/breadcrumb/src/breadcrumb.vue?vue&type=template&id=4b464c06&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/breadcrumb/src/breadcrumb.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n/* harmony default export */var breadcrumbvue_type_script_lang_js_={name:'ElBreadcrumb',props:{separator:{type:String,default:'/'},separatorClass:{type:String,default:''}},provide:function provide(){return{elBreadcrumb:this};},mounted:function mounted(){var items=this.$el.querySelectorAll('.el-breadcrumb__item');if(items.length){items[items.length-1].setAttribute('aria-current','page');}}};// CONCATENATED MODULE: ./packages/breadcrumb/src/breadcrumb.vue?vue&type=script&lang=js&\n/* harmony default export */var src_breadcrumbvue_type_script_lang_js_=breadcrumbvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/breadcrumb/src/breadcrumb.vue\n/* normalize component */var breadcrumb_component=normalizeComponent(src_breadcrumbvue_type_script_lang_js_,breadcrumbvue_type_template_id_4b464c06_render,breadcrumbvue_type_template_id_4b464c06_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var breadcrumb_api; }breadcrumb_component.options.__file=\"packages/breadcrumb/src/breadcrumb.vue\";/* harmony default export */var breadcrumb=breadcrumb_component.exports;// CONCATENATED MODULE: ./packages/breadcrumb/index.js\n/* istanbul ignore next */breadcrumb.install=function(Vue){Vue.component(breadcrumb.name,breadcrumb);};/* harmony default export */var packages_breadcrumb=breadcrumb;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/breadcrumb/src/breadcrumb-item.vue?vue&type=template&id=fcf9eaac&\nvar breadcrumb_itemvue_type_template_id_fcf9eaac_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"span\",{staticClass:\"el-breadcrumb__item\"},[_c(\"span\",{ref:\"link\",class:[\"el-breadcrumb__inner\",_vm.to?\"is-link\":\"\"],attrs:{role:\"link\"}},[_vm._t(\"default\")],2),_vm.separatorClass?_c(\"i\",{staticClass:\"el-breadcrumb__separator\",class:_vm.separatorClass}):_c(\"span\",{staticClass:\"el-breadcrumb__separator\",attrs:{role:\"presentation\"}},[_vm._v(_vm._s(_vm.separator))])]);};var breadcrumb_itemvue_type_template_id_fcf9eaac_staticRenderFns=[];breadcrumb_itemvue_type_template_id_fcf9eaac_render._withStripped=true;// CONCATENATED MODULE: ./packages/breadcrumb/src/breadcrumb-item.vue?vue&type=template&id=fcf9eaac&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/breadcrumb/src/breadcrumb-item.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var breadcrumb_itemvue_type_script_lang_js_={name:'ElBreadcrumbItem',props:{to:{},replace:Boolean},data:function data(){return{separator:'',separatorClass:''};},inject:['elBreadcrumb'],mounted:function mounted(){var _this=this;this.separator=this.elBreadcrumb.separator;this.separatorClass=this.elBreadcrumb.separatorClass;var link=this.$refs.link;link.setAttribute('role','link');link.addEventListener('click',function(_){var to=_this.to,$router=_this.$router;if(!to||!$router)return;_this.replace?$router.replace(to):$router.push(to);});}};// CONCATENATED MODULE: ./packages/breadcrumb/src/breadcrumb-item.vue?vue&type=script&lang=js&\n/* harmony default export */var src_breadcrumb_itemvue_type_script_lang_js_=breadcrumb_itemvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/breadcrumb/src/breadcrumb-item.vue\n/* normalize component */var breadcrumb_item_component=normalizeComponent(src_breadcrumb_itemvue_type_script_lang_js_,breadcrumb_itemvue_type_template_id_fcf9eaac_render,breadcrumb_itemvue_type_template_id_fcf9eaac_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var breadcrumb_item_api; }breadcrumb_item_component.options.__file=\"packages/breadcrumb/src/breadcrumb-item.vue\";/* harmony default export */var breadcrumb_item=breadcrumb_item_component.exports;// CONCATENATED MODULE: ./packages/breadcrumb-item/index.js\n/* istanbul ignore next */breadcrumb_item.install=function(Vue){Vue.component(breadcrumb_item.name,breadcrumb_item);};/* harmony default export */var packages_breadcrumb_item=breadcrumb_item;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/form/src/form.vue?vue&type=template&id=a1b5ff34&\nvar formvue_type_template_id_a1b5ff34_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"form\",{staticClass:\"el-form\",class:[_vm.labelPosition?\"el-form--label-\"+_vm.labelPosition:\"\",{\"el-form--inline\":_vm.inline}]},[_vm._t(\"default\")],2);};var formvue_type_template_id_a1b5ff34_staticRenderFns=[];formvue_type_template_id_a1b5ff34_render._withStripped=true;// CONCATENATED MODULE: ./packages/form/src/form.vue?vue&type=template&id=a1b5ff34&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/form/src/form.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var formvue_type_script_lang_js_={name:'ElForm',componentName:'ElForm',provide:function provide(){return{elForm:this};},props:{model:Object,rules:Object,labelPosition:String,labelWidth:String,labelSuffix:{type:String,default:''},inline:Boolean,inlineMessage:Boolean,statusIcon:Boolean,showMessage:{type:Boolean,default:true},size:String,disabled:Boolean,validateOnRuleChange:{type:Boolean,default:true},hideRequiredAsterisk:{type:Boolean,default:false}},watch:{rules:function rules(){// remove then add event listeners on form-item after form rules change\nthis.fields.forEach(function(field){field.removeValidateEvents();field.addValidateEvents();});if(this.validateOnRuleChange){this.validate(function(){});}}},computed:{autoLabelWidth:function autoLabelWidth(){if(!this.potentialLabelWidthArr.length)return 0;var max=Math.max.apply(Math,this.potentialLabelWidthArr);return max?max+'px':'';}},data:function data(){return{fields:[],potentialLabelWidthArr:[]// use this array to calculate auto width\n};},created:function created(){var _this=this;this.$on('el.form.addField',function(field){if(field){_this.fields.push(field);}});/* istanbul ignore next */this.$on('el.form.removeField',function(field){if(field.prop){_this.fields.splice(_this.fields.indexOf(field),1);}});},methods:{resetFields:function resetFields(){if(!this.model){console.warn('[Element Warn][Form]model is required for resetFields to work.');return;}this.fields.forEach(function(field){field.resetField();});},clearValidate:function clearValidate(){var props=arguments.length>0&&arguments[0]!==undefined?arguments[0]:[];var fields=props.length?typeof props==='string'?this.fields.filter(function(field){return props===field.prop;}):this.fields.filter(function(field){return props.indexOf(field.prop)>-1;}):this.fields;fields.forEach(function(field){field.clearValidate();});},validate:function validate(callback){var _this2=this;if(!this.model){console.warn('[Element Warn][Form]model is required for validate to work!');return;}var promise=void 0;// if no callback, return promise\nif(typeof callback!=='function'&&window.Promise){promise=new window.Promise(function(resolve,reject){callback=function callback(valid,invalidFields){valid?resolve(valid):reject(invalidFields);};});}var valid=true;var count=0;// 如果需要验证的fields为空，调用验证时立刻返回callback\nif(this.fields.length===0&&callback){callback(true);}var invalidFields={};this.fields.forEach(function(field){field.validate('',function(message,field){if(message){valid=false;}invalidFields=merge_default()({},invalidFields,field);if(typeof callback==='function'&&++count===_this2.fields.length){callback(valid,invalidFields);}});});if(promise){return promise;}},validateField:function validateField(props,cb){props=[].concat(props);var fields=this.fields.filter(function(field){return props.indexOf(field.prop)!==-1;});if(!fields.length){console.warn('[Element Warn]please pass correct props!');return;}fields.forEach(function(field){field.validate('',cb);});},getLabelWidthIndex:function getLabelWidthIndex(width){var index=this.potentialLabelWidthArr.indexOf(width);// it's impossible\nif(index===-1){throw new Error('[ElementForm]unpected width ',width);}return index;},registerLabelWidth:function registerLabelWidth(val,oldVal){if(val&&oldVal){var index=this.getLabelWidthIndex(oldVal);this.potentialLabelWidthArr.splice(index,1,val);}else if(val){this.potentialLabelWidthArr.push(val);}},deregisterLabelWidth:function deregisterLabelWidth(val){var index=this.getLabelWidthIndex(val);this.potentialLabelWidthArr.splice(index,1);}}};// CONCATENATED MODULE: ./packages/form/src/form.vue?vue&type=script&lang=js&\n/* harmony default export */var src_formvue_type_script_lang_js_=formvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/form/src/form.vue\n/* normalize component */var form_component=normalizeComponent(src_formvue_type_script_lang_js_,formvue_type_template_id_a1b5ff34_render,formvue_type_template_id_a1b5ff34_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var form_api; }form_component.options.__file=\"packages/form/src/form.vue\";/* harmony default export */var src_form=form_component.exports;// CONCATENATED MODULE: ./packages/form/index.js\n/* istanbul ignore next */src_form.install=function(Vue){Vue.component(src_form.name,src_form);};/* harmony default export */var packages_form=src_form;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/form/src/form-item.vue?vue&type=template&id=b6f3db6c&\nvar form_itemvue_type_template_id_b6f3db6c_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-form-item\",class:[{\"el-form-item--feedback\":_vm.elForm&&_vm.elForm.statusIcon,\"is-error\":_vm.validateState===\"error\",\"is-validating\":_vm.validateState===\"validating\",\"is-success\":_vm.validateState===\"success\",\"is-required\":_vm.isRequired||_vm.required,\"is-no-asterisk\":_vm.elForm&&_vm.elForm.hideRequiredAsterisk},_vm.sizeClass?\"el-form-item--\"+_vm.sizeClass:\"\"]},[_c(\"label-wrap\",{attrs:{\"is-auto-width\":_vm.labelStyle&&_vm.labelStyle.width===\"auto\",\"update-all\":_vm.form.labelWidth===\"auto\"}},[_vm.label||_vm.$slots.label?_c(\"label\",{staticClass:\"el-form-item__label\",style:_vm.labelStyle,attrs:{for:_vm.labelFor}},[_vm._t(\"label\",[_vm._v(_vm._s(_vm.label+_vm.form.labelSuffix))])],2):_vm._e()]),_c(\"div\",{staticClass:\"el-form-item__content\",style:_vm.contentStyle},[_vm._t(\"default\"),_c(\"transition\",{attrs:{name:\"el-zoom-in-top\"}},[_vm.validateState===\"error\"&&_vm.showMessage&&_vm.form.showMessage?_vm._t(\"error\",[_c(\"div\",{staticClass:\"el-form-item__error\",class:{\"el-form-item__error--inline\":typeof _vm.inlineMessage===\"boolean\"?_vm.inlineMessage:_vm.elForm&&_vm.elForm.inlineMessage||false}},[_vm._v(\"\\n          \"+_vm._s(_vm.validateMessage)+\"\\n        \")])],{error:_vm.validateMessage}):_vm._e()],2)],2)],1);};var form_itemvue_type_template_id_b6f3db6c_staticRenderFns=[];form_itemvue_type_template_id_b6f3db6c_render._withStripped=true;// CONCATENATED MODULE: ./packages/form/src/form-item.vue?vue&type=template&id=b6f3db6c&\n// EXTERNAL MODULE: external \"async-validator\"\nvar external_async_validator_=__nested_webpack_require_8056__(41);var external_async_validator_default=/*#__PURE__*/__nested_webpack_require_8056__.n(external_async_validator_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/form/src/label-wrap.vue?vue&type=script&lang=js&\n/* harmony default export */var label_wrapvue_type_script_lang_js_={props:{isAutoWidth:Boolean,updateAll:Boolean},inject:['elForm','elFormItem'],render:function render(){var h=arguments[0];var slots=this.$slots.default;if(!slots)return null;if(this.isAutoWidth){var autoLabelWidth=this.elForm.autoLabelWidth;var style={};if(autoLabelWidth&&autoLabelWidth!=='auto'){var marginLeft=parseInt(autoLabelWidth,10)-this.computedWidth;if(marginLeft){style.marginLeft=marginLeft+'px';}}return h('div',{'class':'el-form-item__label-wrap',style:style},[slots]);}else{return slots[0];}},methods:{getLabelWidth:function getLabelWidth(){if(this.$el&&this.$el.firstElementChild){var computedWidth=window.getComputedStyle(this.$el.firstElementChild).width;return Math.ceil(parseFloat(computedWidth));}else{return 0;}},updateLabelWidth:function updateLabelWidth(){var action=arguments.length>0&&arguments[0]!==undefined?arguments[0]:'update';if(this.$slots.default&&this.isAutoWidth&&this.$el.firstElementChild){if(action==='update'){this.computedWidth=this.getLabelWidth();}else if(action==='remove'){this.elForm.deregisterLabelWidth(this.computedWidth);}}}},watch:{computedWidth:function computedWidth(val,oldVal){if(this.updateAll){this.elForm.registerLabelWidth(val,oldVal);this.elFormItem.updateComputedLabelWidth(val);}}},data:function data(){return{computedWidth:0};},mounted:function mounted(){this.updateLabelWidth('update');},updated:function updated(){this.updateLabelWidth('update');},beforeDestroy:function beforeDestroy(){this.updateLabelWidth('remove');}};// CONCATENATED MODULE: ./packages/form/src/label-wrap.vue?vue&type=script&lang=js&\n/* harmony default export */var src_label_wrapvue_type_script_lang_js_=label_wrapvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/form/src/label-wrap.vue\nvar label_wrap_render,label_wrap_staticRenderFns;/* normalize component */var label_wrap_component=normalizeComponent(src_label_wrapvue_type_script_lang_js_,label_wrap_render,label_wrap_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var label_wrap_api; }label_wrap_component.options.__file=\"packages/form/src/label-wrap.vue\";/* harmony default export */var label_wrap=label_wrap_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/form/src/form-item.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var form_itemvue_type_script_lang_js_={name:'ElFormItem',componentName:'ElFormItem',mixins:[emitter_default.a],provide:function provide(){return{elFormItem:this};},inject:['elForm'],props:{label:String,labelWidth:String,prop:String,required:{type:Boolean,default:undefined},rules:[Object,Array],error:String,validateStatus:String,for:String,inlineMessage:{type:[String,Boolean],default:''},showMessage:{type:Boolean,default:true},size:String},components:{// use this component to calculate auto width\nLabelWrap:label_wrap},watch:{error:{immediate:true,handler:function handler(value){this.validateMessage=value;this.validateState=value?'error':'';}},validateStatus:function validateStatus(value){this.validateState=value;},rules:function rules(value){if((!value||value.length===0)&&this.required===undefined){this.clearValidate();}}},computed:{labelFor:function labelFor(){return this.for||this.prop;},labelStyle:function labelStyle(){var ret={};if(this.form.labelPosition==='top')return ret;var labelWidth=this.labelWidth||this.form.labelWidth;if(labelWidth){ret.width=labelWidth;}return ret;},contentStyle:function contentStyle(){var ret={};var label=this.label;if(this.form.labelPosition==='top'||this.form.inline)return ret;if(!label&&!this.labelWidth&&this.isNested)return ret;var labelWidth=this.labelWidth||this.form.labelWidth;if(labelWidth==='auto'){if(this.labelWidth==='auto'){ret.marginLeft=this.computedLabelWidth;}else if(this.form.labelWidth==='auto'){ret.marginLeft=this.elForm.autoLabelWidth;}}else{ret.marginLeft=labelWidth;}return ret;},form:function form(){var parent=this.$parent;var parentName=parent.$options.componentName;while(parentName!=='ElForm'){if(parentName==='ElFormItem'){this.isNested=true;}parent=parent.$parent;parentName=parent.$options.componentName;}return parent;},fieldValue:function fieldValue(){var model=this.form.model;if(!model||!this.prop){return;}var path=this.prop;if(path.indexOf(':')!==-1){path=path.replace(/:/,'.');}return Object(util_[\"getPropByPath\"])(model,path,true).v;},isRequired:function isRequired(){var rules=this.getRules();var isRequired=false;if(rules&&rules.length){rules.every(function(rule){if(rule.required){isRequired=true;return false;}return true;});}return isRequired;},_formSize:function _formSize(){return this.elForm.size;},elFormItemSize:function elFormItemSize(){return this.size||this._formSize;},sizeClass:function sizeClass(){return this.elFormItemSize||(this.$ELEMENT||{}).size;}},data:function data(){return{validateState:'',validateMessage:'',validateDisabled:false,validator:{},isNested:false,computedLabelWidth:''};},methods:{validate:function validate(trigger){var _this=this;var callback=arguments.length>1&&arguments[1]!==undefined?arguments[1]:util_[\"noop\"];this.validateDisabled=false;var rules=this.getFilteredRule(trigger);if((!rules||rules.length===0)&&this.required===undefined){callback();return true;}this.validateState='validating';var descriptor={};if(rules&&rules.length>0){rules.forEach(function(rule){delete rule.trigger;});}descriptor[this.prop]=rules;var validator=new external_async_validator_default.a(descriptor);var model={};model[this.prop]=this.fieldValue;validator.validate(model,{firstFields:true},function(errors,invalidFields){_this.validateState=!errors?'success':'error';_this.validateMessage=errors?errors[0].message:'';callback(_this.validateMessage,invalidFields);_this.elForm&&_this.elForm.$emit('validate',_this.prop,!errors,_this.validateMessage||null);});},clearValidate:function clearValidate(){this.validateState='';this.validateMessage='';this.validateDisabled=false;},resetField:function resetField(){var _this2=this;this.validateState='';this.validateMessage='';var model=this.form.model;var value=this.fieldValue;var path=this.prop;if(path.indexOf(':')!==-1){path=path.replace(/:/,'.');}var prop=Object(util_[\"getPropByPath\"])(model,path,true);this.validateDisabled=true;if(Array.isArray(value)){prop.o[prop.k]=[].concat(this.initialValue);}else{prop.o[prop.k]=this.initialValue;}// reset validateDisabled after onFieldChange triggered\nthis.$nextTick(function(){_this2.validateDisabled=false;});this.broadcast('ElTimeSelect','fieldReset',this.initialValue);},getRules:function getRules(){var formRules=this.form.rules;var selfRules=this.rules;var requiredRule=this.required!==undefined?{required:!!this.required}:[];var prop=Object(util_[\"getPropByPath\"])(formRules,this.prop||'');formRules=formRules?prop.o[this.prop||'']||prop.v:[];return[].concat(selfRules||formRules||[]).concat(requiredRule);},getFilteredRule:function getFilteredRule(trigger){var rules=this.getRules();return rules.filter(function(rule){if(!rule.trigger||trigger==='')return true;if(Array.isArray(rule.trigger)){return rule.trigger.indexOf(trigger)>-1;}else{return rule.trigger===trigger;}}).map(function(rule){return merge_default()({},rule);});},onFieldBlur:function onFieldBlur(){this.validate('blur');},onFieldChange:function onFieldChange(){if(this.validateDisabled){this.validateDisabled=false;return;}this.validate('change');},updateComputedLabelWidth:function updateComputedLabelWidth(width){this.computedLabelWidth=width?width+'px':'';},addValidateEvents:function addValidateEvents(){var rules=this.getRules();if(rules.length||this.required!==undefined){this.$on('el.form.blur',this.onFieldBlur);this.$on('el.form.change',this.onFieldChange);}},removeValidateEvents:function removeValidateEvents(){this.$off();}},mounted:function mounted(){if(this.prop){this.dispatch('ElForm','el.form.addField',[this]);var initialValue=this.fieldValue;if(Array.isArray(initialValue)){initialValue=[].concat(initialValue);}Object.defineProperty(this,'initialValue',{value:initialValue});this.addValidateEvents();}},beforeDestroy:function beforeDestroy(){this.dispatch('ElForm','el.form.removeField',[this]);}};// CONCATENATED MODULE: ./packages/form/src/form-item.vue?vue&type=script&lang=js&\n/* harmony default export */var src_form_itemvue_type_script_lang_js_=form_itemvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/form/src/form-item.vue\n/* normalize component */var form_item_component=normalizeComponent(src_form_itemvue_type_script_lang_js_,form_itemvue_type_template_id_b6f3db6c_render,form_itemvue_type_template_id_b6f3db6c_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var form_item_api; }form_item_component.options.__file=\"packages/form/src/form-item.vue\";/* harmony default export */var form_item=form_item_component.exports;// CONCATENATED MODULE: ./packages/form-item/index.js\n/* istanbul ignore next */form_item.install=function(Vue){Vue.component(form_item.name,form_item);};/* harmony default export */var packages_form_item=form_item;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/tabs/src/tab-bar.vue?vue&type=template&id=2031f33a&\nvar tab_barvue_type_template_id_2031f33a_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-tabs__active-bar\",class:\"is-\"+_vm.rootTabs.tabPosition,style:_vm.barStyle});};var tab_barvue_type_template_id_2031f33a_staticRenderFns=[];tab_barvue_type_template_id_2031f33a_render._withStripped=true;// CONCATENATED MODULE: ./packages/tabs/src/tab-bar.vue?vue&type=template&id=2031f33a&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/tabs/src/tab-bar.vue?vue&type=script&lang=js&\n//\n//\n//\n/* harmony default export */var tab_barvue_type_script_lang_js_={name:'TabBar',props:{tabs:Array},inject:['rootTabs'],computed:{barStyle:{get:function get(){var _this=this;var style={};var offset=0;var tabSize=0;var sizeName=['top','bottom'].indexOf(this.rootTabs.tabPosition)!==-1?'width':'height';var sizeDir=sizeName==='width'?'x':'y';var firstUpperCase=function firstUpperCase(str){return str.toLowerCase().replace(/( |^)[a-z]/g,function(L){return L.toUpperCase();});};this.tabs.every(function(tab,index){var $el=Object(util_[\"arrayFind\"])(_this.$parent.$refs.tabs||[],function(t){return t.id.replace('tab-','')===tab.paneName;});if(!$el){return false;}if(!tab.active){offset+=$el['client'+firstUpperCase(sizeName)];return true;}else{tabSize=$el['client'+firstUpperCase(sizeName)];var tabStyles=window.getComputedStyle($el);if(sizeName==='width'&&_this.tabs.length>1){tabSize-=parseFloat(tabStyles.paddingLeft)+parseFloat(tabStyles.paddingRight);}if(sizeName==='width'){offset+=parseFloat(tabStyles.paddingLeft);}return false;}});var transform='translate'+firstUpperCase(sizeDir)+'('+offset+'px)';style[sizeName]=tabSize+'px';style.transform=transform;style.msTransform=transform;style.webkitTransform=transform;return style;}}}};// CONCATENATED MODULE: ./packages/tabs/src/tab-bar.vue?vue&type=script&lang=js&\n/* harmony default export */var src_tab_barvue_type_script_lang_js_=tab_barvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/tabs/src/tab-bar.vue\n/* normalize component */var tab_bar_component=normalizeComponent(src_tab_barvue_type_script_lang_js_,tab_barvue_type_template_id_2031f33a_render,tab_barvue_type_template_id_2031f33a_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var tab_bar_api; }tab_bar_component.options.__file=\"packages/tabs/src/tab-bar.vue\";/* harmony default export */var tab_bar=tab_bar_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/tabs/src/tab-nav.vue?vue&type=script&lang=js&\nfunction noop(){}var tab_navvue_type_script_lang_js_firstUpperCase=function firstUpperCase(str){return str.toLowerCase().replace(/( |^)[a-z]/g,function(L){return L.toUpperCase();});};/* harmony default export */var tab_navvue_type_script_lang_js_={name:'TabNav',components:{TabBar:tab_bar},inject:['rootTabs'],props:{panes:Array,currentName:String,editable:Boolean,onTabClick:{type:Function,default:noop},onTabRemove:{type:Function,default:noop},type:String,stretch:Boolean},data:function data(){return{scrollable:false,navOffset:0,isFocus:false,focusable:true};},computed:{navStyle:function navStyle(){var dir=['top','bottom'].indexOf(this.rootTabs.tabPosition)!==-1?'X':'Y';return{transform:'translate'+dir+'(-'+this.navOffset+'px)'};},sizeName:function sizeName(){return['top','bottom'].indexOf(this.rootTabs.tabPosition)!==-1?'width':'height';}},methods:{scrollPrev:function scrollPrev(){var containerSize=this.$refs.navScroll['offset'+tab_navvue_type_script_lang_js_firstUpperCase(this.sizeName)];var currentOffset=this.navOffset;if(!currentOffset)return;var newOffset=currentOffset>containerSize?currentOffset-containerSize:0;this.navOffset=newOffset;},scrollNext:function scrollNext(){var navSize=this.$refs.nav['offset'+tab_navvue_type_script_lang_js_firstUpperCase(this.sizeName)];var containerSize=this.$refs.navScroll['offset'+tab_navvue_type_script_lang_js_firstUpperCase(this.sizeName)];var currentOffset=this.navOffset;if(navSize-currentOffset<=containerSize)return;var newOffset=navSize-currentOffset>containerSize*2?currentOffset+containerSize:navSize-containerSize;this.navOffset=newOffset;},scrollToActiveTab:function scrollToActiveTab(){if(!this.scrollable)return;var nav=this.$refs.nav;var activeTab=this.$el.querySelector('.is-active');if(!activeTab)return;var navScroll=this.$refs.navScroll;var isHorizontal=['top','bottom'].indexOf(this.rootTabs.tabPosition)!==-1;var activeTabBounding=activeTab.getBoundingClientRect();var navScrollBounding=navScroll.getBoundingClientRect();var maxOffset=isHorizontal?nav.offsetWidth-navScrollBounding.width:nav.offsetHeight-navScrollBounding.height;var currentOffset=this.navOffset;var newOffset=currentOffset;if(isHorizontal){if(activeTabBounding.left<navScrollBounding.left){newOffset=currentOffset-(navScrollBounding.left-activeTabBounding.left);}if(activeTabBounding.right>navScrollBounding.right){newOffset=currentOffset+activeTabBounding.right-navScrollBounding.right;}}else{if(activeTabBounding.top<navScrollBounding.top){newOffset=currentOffset-(navScrollBounding.top-activeTabBounding.top);}if(activeTabBounding.bottom>navScrollBounding.bottom){newOffset=currentOffset+(activeTabBounding.bottom-navScrollBounding.bottom);}}newOffset=Math.max(newOffset,0);this.navOffset=Math.min(newOffset,maxOffset);},update:function update(){if(!this.$refs.nav)return;var sizeName=this.sizeName;var navSize=this.$refs.nav['offset'+tab_navvue_type_script_lang_js_firstUpperCase(sizeName)];var containerSize=this.$refs.navScroll['offset'+tab_navvue_type_script_lang_js_firstUpperCase(sizeName)];var currentOffset=this.navOffset;if(containerSize<navSize){var _currentOffset=this.navOffset;this.scrollable=this.scrollable||{};this.scrollable.prev=_currentOffset;this.scrollable.next=_currentOffset+containerSize<navSize;if(navSize-_currentOffset<containerSize){this.navOffset=navSize-containerSize;}}else{this.scrollable=false;if(currentOffset>0){this.navOffset=0;}}},changeTab:function changeTab(e){var keyCode=e.keyCode;var nextIndex=void 0;var currentIndex=void 0,tabList=void 0;if([37,38,39,40].indexOf(keyCode)!==-1){// 左右上下键更换tab\ntabList=e.currentTarget.querySelectorAll('[role=tab]');currentIndex=Array.prototype.indexOf.call(tabList,e.target);}else{return;}if(keyCode===37||keyCode===38){// left\nif(currentIndex===0){// first\nnextIndex=tabList.length-1;}else{nextIndex=currentIndex-1;}}else{// right\nif(currentIndex<tabList.length-1){// not last\nnextIndex=currentIndex+1;}else{nextIndex=0;}}tabList[nextIndex].focus();// 改变焦点元素\ntabList[nextIndex].click();// 选中下一个tab\nthis.setFocus();},setFocus:function setFocus(){if(this.focusable){this.isFocus=true;}},removeFocus:function removeFocus(){this.isFocus=false;},visibilityChangeHandler:function visibilityChangeHandler(){var _this=this;var visibility=document.visibilityState;if(visibility==='hidden'){this.focusable=false;}else if(visibility==='visible'){setTimeout(function(){_this.focusable=true;},50);}},windowBlurHandler:function windowBlurHandler(){this.focusable=false;},windowFocusHandler:function windowFocusHandler(){var _this2=this;setTimeout(function(){_this2.focusable=true;},50);}},updated:function updated(){this.update();},render:function render(h){var _this3=this;var type=this.type,panes=this.panes,editable=this.editable,stretch=this.stretch,onTabClick=this.onTabClick,onTabRemove=this.onTabRemove,navStyle=this.navStyle,scrollable=this.scrollable,scrollNext=this.scrollNext,scrollPrev=this.scrollPrev,changeTab=this.changeTab,setFocus=this.setFocus,removeFocus=this.removeFocus;var scrollBtn=scrollable?[h('span',{'class':['el-tabs__nav-prev',scrollable.prev?'':'is-disabled'],on:{'click':scrollPrev}},[h('i',{'class':'el-icon-arrow-left'})]),h('span',{'class':['el-tabs__nav-next',scrollable.next?'':'is-disabled'],on:{'click':scrollNext}},[h('i',{'class':'el-icon-arrow-right'})])]:null;var tabs=this._l(panes,function(pane,index){var _ref;var tabName=pane.name||pane.index||index;var closable=pane.isClosable||editable;pane.index=''+index;var btnClose=closable?h('span',{'class':'el-icon-close',on:{'click':function click(ev){onTabRemove(pane,ev);}}}):null;var tabLabelContent=pane.$slots.label||pane.label;var tabindex=pane.active?0:-1;return h('div',{'class':(_ref={'el-tabs__item':true},_ref['is-'+_this3.rootTabs.tabPosition]=true,_ref['is-active']=pane.active,_ref['is-disabled']=pane.disabled,_ref['is-closable']=closable,_ref['is-focus']=_this3.isFocus,_ref),attrs:{id:'tab-'+tabName,'aria-controls':'pane-'+tabName,role:'tab','aria-selected':pane.active,tabindex:tabindex},key:'tab-'+tabName,ref:'tabs',refInFor:true,on:{'focus':function focus(){setFocus();},'blur':function blur(){removeFocus();},'click':function click(ev){removeFocus();onTabClick(pane,tabName,ev);},'keydown':function keydown(ev){if(closable&&(ev.keyCode===46||ev.keyCode===8)){onTabRemove(pane,ev);}}}},[tabLabelContent,btnClose]);});return h('div',{'class':['el-tabs__nav-wrap',scrollable?'is-scrollable':'','is-'+this.rootTabs.tabPosition]},[scrollBtn,h('div',{'class':['el-tabs__nav-scroll'],ref:'navScroll'},[h('div',{'class':['el-tabs__nav','is-'+this.rootTabs.tabPosition,stretch&&['top','bottom'].indexOf(this.rootTabs.tabPosition)!==-1?'is-stretch':''],ref:'nav',style:navStyle,attrs:{role:'tablist'},on:{'keydown':changeTab}},[!type?h('tab-bar',{attrs:{tabs:panes}}):null,tabs])])]);},mounted:function mounted(){var _this4=this;Object(resize_event_[\"addResizeListener\"])(this.$el,this.update);document.addEventListener('visibilitychange',this.visibilityChangeHandler);window.addEventListener('blur',this.windowBlurHandler);window.addEventListener('focus',this.windowFocusHandler);setTimeout(function(){_this4.scrollToActiveTab();},0);},beforeDestroy:function beforeDestroy(){if(this.$el&&this.update)Object(resize_event_[\"removeResizeListener\"])(this.$el,this.update);document.removeEventListener('visibilitychange',this.visibilityChangeHandler);window.removeEventListener('blur',this.windowBlurHandler);window.removeEventListener('focus',this.windowFocusHandler);}};// CONCATENATED MODULE: ./packages/tabs/src/tab-nav.vue?vue&type=script&lang=js&\n/* harmony default export */var src_tab_navvue_type_script_lang_js_=tab_navvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/tabs/src/tab-nav.vue\nvar tab_nav_render,tab_nav_staticRenderFns;/* normalize component */var tab_nav_component=normalizeComponent(src_tab_navvue_type_script_lang_js_,tab_nav_render,tab_nav_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var tab_nav_api; }tab_nav_component.options.__file=\"packages/tabs/src/tab-nav.vue\";/* harmony default export */var tab_nav=tab_nav_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/tabs/src/tabs.vue?vue&type=script&lang=js&\n/* harmony default export */var tabsvue_type_script_lang_js_={name:'ElTabs',components:{TabNav:tab_nav},props:{type:String,activeName:String,closable:Boolean,addable:Boolean,value:{},editable:Boolean,tabPosition:{type:String,default:'top'},beforeLeave:Function,stretch:Boolean},provide:function provide(){return{rootTabs:this};},data:function data(){return{currentName:this.value||this.activeName,panes:[]};},watch:{activeName:function activeName(value){this.setCurrentName(value);},value:function value(_value){this.setCurrentName(_value);},currentName:function currentName(value){var _this=this;if(this.$refs.nav){this.$nextTick(function(){_this.$refs.nav.$nextTick(function(_){_this.$refs.nav.scrollToActiveTab();});});}}},methods:{calcPaneInstances:function calcPaneInstances(){var _this2=this;var isForceUpdate=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;if(this.$slots.default){var paneSlots=this.$slots.default.filter(function(vnode){return vnode.tag&&vnode.componentOptions&&vnode.componentOptions.Ctor.options.name==='ElTabPane';});// update indeed\nvar panes=paneSlots.map(function(_ref){var componentInstance=_ref.componentInstance;return componentInstance;});var panesChanged=!(panes.length===this.panes.length&&panes.every(function(pane,index){return pane===_this2.panes[index];}));if(isForceUpdate||panesChanged){this.panes=panes;}}else if(this.panes.length!==0){this.panes=[];}},handleTabClick:function handleTabClick(tab,tabName,event){if(tab.disabled)return;this.setCurrentName(tabName);this.$emit('tab-click',tab,event);},handleTabRemove:function handleTabRemove(pane,ev){if(pane.disabled)return;ev.stopPropagation();this.$emit('edit',pane.name,'remove');this.$emit('tab-remove',pane.name);},handleTabAdd:function handleTabAdd(){this.$emit('edit',null,'add');this.$emit('tab-add');},setCurrentName:function setCurrentName(value){var _this3=this;var changeCurrentName=function changeCurrentName(){_this3.currentName=value;_this3.$emit('input',value);};if(this.currentName!==value&&this.beforeLeave){var before=this.beforeLeave(value,this.currentName);if(before&&before.then){before.then(function(){changeCurrentName();_this3.$refs.nav&&_this3.$refs.nav.removeFocus();},function(){// https://github.com/ElemeFE/element/pull/14816\n// ignore promise rejection in `before-leave` hook\n});}else if(before!==false){changeCurrentName();}}else{changeCurrentName();}}},render:function render(h){var _ref2;var type=this.type,handleTabClick=this.handleTabClick,handleTabRemove=this.handleTabRemove,handleTabAdd=this.handleTabAdd,currentName=this.currentName,panes=this.panes,editable=this.editable,addable=this.addable,tabPosition=this.tabPosition,stretch=this.stretch;var newButton=editable||addable?h('span',{'class':'el-tabs__new-tab',on:{'click':handleTabAdd,'keydown':function keydown(ev){if(ev.keyCode===13){handleTabAdd();}}},attrs:{tabindex:'0'}},[h('i',{'class':'el-icon-plus'})]):null;var navData={props:{currentName:currentName,onTabClick:handleTabClick,onTabRemove:handleTabRemove,editable:editable,type:type,panes:panes,stretch:stretch},ref:'nav'};var header=h('div',{'class':['el-tabs__header','is-'+tabPosition]},[newButton,h('tab-nav',navData)]);var panels=h('div',{'class':'el-tabs__content'},[this.$slots.default]);return h('div',{'class':(_ref2={'el-tabs':true,'el-tabs--card':type==='card'},_ref2['el-tabs--'+tabPosition]=true,_ref2['el-tabs--border-card']=type==='border-card',_ref2)},[tabPosition!=='bottom'?[header,panels]:[panels,header]]);},created:function created(){if(!this.currentName){this.setCurrentName('0');}this.$on('tab-nav-update',this.calcPaneInstances.bind(null,true));},mounted:function mounted(){this.calcPaneInstances();},updated:function updated(){this.calcPaneInstances();}};// CONCATENATED MODULE: ./packages/tabs/src/tabs.vue?vue&type=script&lang=js&\n/* harmony default export */var src_tabsvue_type_script_lang_js_=tabsvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/tabs/src/tabs.vue\nvar tabs_render,tabs_staticRenderFns;/* normalize component */var tabs_component=normalizeComponent(src_tabsvue_type_script_lang_js_,tabs_render,tabs_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var tabs_api; }tabs_component.options.__file=\"packages/tabs/src/tabs.vue\";/* harmony default export */var tabs=tabs_component.exports;// CONCATENATED MODULE: ./packages/tabs/index.js\n/* istanbul ignore next */tabs.install=function(Vue){Vue.component(tabs.name,tabs);};/* harmony default export */var packages_tabs=tabs;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/tabs/src/tab-pane.vue?vue&type=template&id=9145a070&\nvar tab_panevue_type_template_id_9145a070_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return!_vm.lazy||_vm.loaded||_vm.active?_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.active,expression:\"active\"}],staticClass:\"el-tab-pane\",attrs:{role:\"tabpanel\",\"aria-hidden\":!_vm.active,id:\"pane-\"+_vm.paneName,\"aria-labelledby\":\"tab-\"+_vm.paneName}},[_vm._t(\"default\")],2):_vm._e();};var tab_panevue_type_template_id_9145a070_staticRenderFns=[];tab_panevue_type_template_id_9145a070_render._withStripped=true;// CONCATENATED MODULE: ./packages/tabs/src/tab-pane.vue?vue&type=template&id=9145a070&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/tabs/src/tab-pane.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var tab_panevue_type_script_lang_js_={name:'ElTabPane',componentName:'ElTabPane',props:{label:String,labelContent:Function,name:String,closable:Boolean,disabled:Boolean,lazy:Boolean},data:function data(){return{index:null,loaded:false};},computed:{isClosable:function isClosable(){return this.closable||this.$parent.closable;},active:function active(){var active=this.$parent.currentName===(this.name||this.index);if(active){this.loaded=true;}return active;},paneName:function paneName(){return this.name||this.index;}},updated:function updated(){this.$parent.$emit('tab-nav-update');}};// CONCATENATED MODULE: ./packages/tabs/src/tab-pane.vue?vue&type=script&lang=js&\n/* harmony default export */var src_tab_panevue_type_script_lang_js_=tab_panevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/tabs/src/tab-pane.vue\n/* normalize component */var tab_pane_component=normalizeComponent(src_tab_panevue_type_script_lang_js_,tab_panevue_type_template_id_9145a070_render,tab_panevue_type_template_id_9145a070_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var tab_pane_api; }tab_pane_component.options.__file=\"packages/tabs/src/tab-pane.vue\";/* harmony default export */var tab_pane=tab_pane_component.exports;// CONCATENATED MODULE: ./packages/tab-pane/index.js\n/* istanbul ignore next */tab_pane.install=function(Vue){Vue.component(tab_pane.name,tab_pane);};/* harmony default export */var packages_tab_pane=tab_pane;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/tag/src/tag.vue?vue&type=script&lang=js&\n/* harmony default export */var tagvue_type_script_lang_js_={name:'ElTag',props:{text:String,closable:Boolean,type:String,hit:Boolean,disableTransitions:Boolean,color:String,size:String,effect:{type:String,default:'light',validator:function validator(val){return['dark','light','plain'].indexOf(val)!==-1;}}},methods:{handleClose:function handleClose(event){event.stopPropagation();this.$emit('close',event);},handleClick:function handleClick(event){this.$emit('click',event);}},computed:{tagSize:function tagSize(){return this.size||(this.$ELEMENT||{}).size;}},render:function render(h){var type=this.type,tagSize=this.tagSize,hit=this.hit,effect=this.effect;var classes=['el-tag',type?'el-tag--'+type:'',tagSize?'el-tag--'+tagSize:'',effect?'el-tag--'+effect:'',hit&&'is-hit'];var tagEl=h('span',{'class':classes,style:{backgroundColor:this.color},on:{'click':this.handleClick}},[this.$slots.default,this.closable&&h('i',{'class':'el-tag__close el-icon-close',on:{'click':this.handleClose}})]);return this.disableTransitions?tagEl:h('transition',{attrs:{name:'el-zoom-in-center'}},[tagEl]);}};// CONCATENATED MODULE: ./packages/tag/src/tag.vue?vue&type=script&lang=js&\n/* harmony default export */var src_tagvue_type_script_lang_js_=tagvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/tag/src/tag.vue\nvar tag_render,tag_staticRenderFns;/* normalize component */var tag_component=normalizeComponent(src_tagvue_type_script_lang_js_,tag_render,tag_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var tag_api; }tag_component.options.__file=\"packages/tag/src/tag.vue\";/* harmony default export */var src_tag=tag_component.exports;// CONCATENATED MODULE: ./packages/tag/index.js\n/* istanbul ignore next */src_tag.install=function(Vue){Vue.component(src_tag.name,src_tag);};/* harmony default export */var packages_tag=src_tag;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/tree/src/tree.vue?vue&type=template&id=547575a6&\nvar treevue_type_template_id_547575a6_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-tree\",class:{\"el-tree--highlight-current\":_vm.highlightCurrent,\"is-dragging\":!!_vm.dragState.draggingNode,\"is-drop-not-allow\":!_vm.dragState.allowDrop,\"is-drop-inner\":_vm.dragState.dropType===\"inner\"},attrs:{role:\"tree\"}},[_vm._l(_vm.root.childNodes,function(child){return _c(\"el-tree-node\",{key:_vm.getNodeKey(child),attrs:{node:child,props:_vm.props,\"render-after-expand\":_vm.renderAfterExpand,\"show-checkbox\":_vm.showCheckbox,\"render-content\":_vm.renderContent},on:{\"node-expand\":_vm.handleNodeExpand}});}),_vm.isEmpty?_c(\"div\",{staticClass:\"el-tree__empty-block\"},[_c(\"span\",{staticClass:\"el-tree__empty-text\"},[_vm._v(_vm._s(_vm.emptyText))])]):_vm._e(),_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.dragState.showDropIndicator,expression:\"dragState.showDropIndicator\"}],ref:\"dropIndicator\",staticClass:\"el-tree__drop-indicator\"})],2);};var treevue_type_template_id_547575a6_staticRenderFns=[];treevue_type_template_id_547575a6_render._withStripped=true;// CONCATENATED MODULE: ./packages/tree/src/tree.vue?vue&type=template&id=547575a6&\n// CONCATENATED MODULE: ./packages/tree/src/model/util.js\nvar NODE_KEY='$treeNodeId';var markNodeData=function markNodeData(node,data){if(!data||data[NODE_KEY])return;Object.defineProperty(data,NODE_KEY,{value:node.id,enumerable:false,configurable:false,writable:false});};var util_getNodeKey=function getNodeKey(key,data){if(!key)return data[NODE_KEY];return data[key];};var findNearestComponent=function findNearestComponent(element,componentName){var target=element;while(target&&target.tagName!=='BODY'){if(target.__vue__&&target.__vue__.$options.name===componentName){return target.__vue__;}target=target.parentNode;}return null;};// CONCATENATED MODULE: ./packages/tree/src/model/node.js\nvar _createClass=function(){function defineProperties(target,props){for(var i=0;i<props.length;i++){var descriptor=props[i];descriptor.enumerable=descriptor.enumerable||false;descriptor.configurable=true;if(\"value\"in descriptor)descriptor.writable=true;Object.defineProperty(target,descriptor.key,descriptor);}}return function(Constructor,protoProps,staticProps){if(protoProps)defineProperties(Constructor.prototype,protoProps);if(staticProps)defineProperties(Constructor,staticProps);return Constructor;};}();function node_classCallCheck(instance,Constructor){if(!(instance instanceof Constructor)){throw new TypeError(\"Cannot call a class as a function\");}}var getChildState=function getChildState(node){var all=true;var none=true;var allWithoutDisable=true;for(var i=0,j=node.length;i<j;i++){var n=node[i];if(n.checked!==true||n.indeterminate){all=false;if(!n.disabled){allWithoutDisable=false;}}if(n.checked!==false||n.indeterminate){none=false;}}return{all:all,none:none,allWithoutDisable:allWithoutDisable,half:!all&&!none};};var reInitChecked=function reInitChecked(node){if(node.childNodes.length===0||node.loading)return;var _getChildState=getChildState(node.childNodes),all=_getChildState.all,none=_getChildState.none,half=_getChildState.half;if(all){node.checked=true;node.indeterminate=false;}else if(half){node.checked=false;node.indeterminate=true;}else if(none){node.checked=false;node.indeterminate=false;}var parent=node.parent;if(!parent||parent.level===0)return;if(!node.store.checkStrictly){reInitChecked(parent);}};var getPropertyFromData=function getPropertyFromData(node,prop){var props=node.store.props;var data=node.data||{};var config=props[prop];if(typeof config==='function'){return config(data,node);}else if(typeof config==='string'){return data[config];}else if(typeof config==='undefined'){var dataProp=data[prop];return dataProp===undefined?'':dataProp;}};var nodeIdSeed=0;var node_Node=function(){function Node(options){node_classCallCheck(this,Node);this.id=nodeIdSeed++;this.text=null;this.checked=false;this.indeterminate=false;this.data=null;this.expanded=false;this.parent=null;this.visible=true;this.isCurrent=false;for(var name in options){if(options.hasOwnProperty(name)){this[name]=options[name];}}// internal\nthis.level=0;this.loaded=false;this.childNodes=[];this.loading=false;if(this.parent){this.level=this.parent.level+1;}var store=this.store;if(!store){throw new Error('[Node]store is required!');}store.registerNode(this);var props=store.props;if(props&&typeof props.isLeaf!=='undefined'){var isLeaf=getPropertyFromData(this,'isLeaf');if(typeof isLeaf==='boolean'){this.isLeafByUser=isLeaf;}}if(store.lazy!==true&&this.data){this.setData(this.data);if(store.defaultExpandAll){this.expanded=true;}}else if(this.level>0&&store.lazy&&store.defaultExpandAll){this.expand();}if(!Array.isArray(this.data)){markNodeData(this,this.data);}if(!this.data)return;var defaultExpandedKeys=store.defaultExpandedKeys;var key=store.key;if(key&&defaultExpandedKeys&&defaultExpandedKeys.indexOf(this.key)!==-1){this.expand(null,store.autoExpandParent);}if(key&&store.currentNodeKey!==undefined&&this.key===store.currentNodeKey){store.currentNode=this;store.currentNode.isCurrent=true;}if(store.lazy){store._initDefaultCheckedNode(this);}this.updateLeafState();}Node.prototype.setData=function setData(data){if(!Array.isArray(data)){markNodeData(this,data);}this.data=data;this.childNodes=[];var children=void 0;if(this.level===0&&this.data instanceof Array){children=this.data;}else{children=getPropertyFromData(this,'children')||[];}for(var i=0,j=children.length;i<j;i++){this.insertChild({data:children[i]});}};Node.prototype.contains=function contains(target){var deep=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var walk=function walk(parent){var children=parent.childNodes||[];var result=false;for(var i=0,j=children.length;i<j;i++){var child=children[i];if(child===target||deep&&walk(child)){result=true;break;}}return result;};return walk(this);};Node.prototype.remove=function remove(){var parent=this.parent;if(parent){parent.removeChild(this);}};Node.prototype.insertChild=function insertChild(child,index,batch){if(!child)throw new Error('insertChild error: child is required.');if(!(child instanceof Node)){if(!batch){var children=this.getChildren(true)||[];if(children.indexOf(child.data)===-1){if(typeof index==='undefined'||index<0){children.push(child.data);}else{children.splice(index,0,child.data);}}}merge_default()(child,{parent:this,store:this.store});child=new Node(child);}child.level=this.level+1;if(typeof index==='undefined'||index<0){this.childNodes.push(child);}else{this.childNodes.splice(index,0,child);}this.updateLeafState();};Node.prototype.insertBefore=function insertBefore(child,ref){var index=void 0;if(ref){index=this.childNodes.indexOf(ref);}this.insertChild(child,index);};Node.prototype.insertAfter=function insertAfter(child,ref){var index=void 0;if(ref){index=this.childNodes.indexOf(ref);if(index!==-1)index+=1;}this.insertChild(child,index);};Node.prototype.removeChild=function removeChild(child){var children=this.getChildren()||[];var dataIndex=children.indexOf(child.data);if(dataIndex>-1){children.splice(dataIndex,1);}var index=this.childNodes.indexOf(child);if(index>-1){this.store&&this.store.deregisterNode(child);child.parent=null;this.childNodes.splice(index,1);}this.updateLeafState();};Node.prototype.removeChildByData=function removeChildByData(data){var targetNode=null;for(var i=0;i<this.childNodes.length;i++){if(this.childNodes[i].data===data){targetNode=this.childNodes[i];break;}}if(targetNode){this.removeChild(targetNode);}};Node.prototype.expand=function expand(callback,expandParent){var _this=this;var done=function done(){if(expandParent){var parent=_this.parent;while(parent.level>0){parent.expanded=true;parent=parent.parent;}}_this.expanded=true;if(callback)callback();};if(this.shouldLoadData()){this.loadData(function(data){if(data instanceof Array){if(_this.checked){_this.setChecked(true,true);}else if(!_this.store.checkStrictly){reInitChecked(_this);}done();}});}else{done();}};Node.prototype.doCreateChildren=function doCreateChildren(array){var _this2=this;var defaultProps=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};array.forEach(function(item){_this2.insertChild(merge_default()({data:item},defaultProps),undefined,true);});};Node.prototype.collapse=function collapse(){this.expanded=false;};Node.prototype.shouldLoadData=function shouldLoadData(){return this.store.lazy===true&&this.store.load&&!this.loaded;};Node.prototype.updateLeafState=function updateLeafState(){if(this.store.lazy===true&&this.loaded!==true&&typeof this.isLeafByUser!=='undefined'){this.isLeaf=this.isLeafByUser;return;}var childNodes=this.childNodes;if(!this.store.lazy||this.store.lazy===true&&this.loaded===true){this.isLeaf=!childNodes||childNodes.length===0;return;}this.isLeaf=false;};Node.prototype.setChecked=function setChecked(value,deep,recursion,passValue){var _this3=this;this.indeterminate=value==='half';this.checked=value===true;if(this.store.checkStrictly)return;if(!(this.shouldLoadData()&&!this.store.checkDescendants)){var _getChildState2=getChildState(this.childNodes),all=_getChildState2.all,allWithoutDisable=_getChildState2.allWithoutDisable;if(!this.isLeaf&&!all&&allWithoutDisable){this.checked=false;value=false;}var handleDescendants=function handleDescendants(){if(deep){var childNodes=_this3.childNodes;for(var i=0,j=childNodes.length;i<j;i++){var child=childNodes[i];passValue=passValue||value!==false;var isCheck=child.disabled?child.checked:passValue;child.setChecked(isCheck,deep,true,passValue);}var _getChildState3=getChildState(childNodes),half=_getChildState3.half,_all=_getChildState3.all;if(!_all){_this3.checked=_all;_this3.indeterminate=half;}}};if(this.shouldLoadData()){// Only work on lazy load data.\nthis.loadData(function(){handleDescendants();reInitChecked(_this3);},{checked:value!==false});return;}else{handleDescendants();}}var parent=this.parent;if(!parent||parent.level===0)return;if(!recursion){reInitChecked(parent);}};Node.prototype.getChildren=function getChildren(){var forceInit=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;// this is data\nif(this.level===0)return this.data;var data=this.data;if(!data)return null;var props=this.store.props;var children='children';if(props){children=props.children||'children';}if(data[children]===undefined){data[children]=null;}if(forceInit&&!data[children]){data[children]=[];}return data[children];};Node.prototype.updateChildren=function updateChildren(){var _this4=this;var newData=this.getChildren()||[];var oldData=this.childNodes.map(function(node){return node.data;});var newDataMap={};var newNodes=[];newData.forEach(function(item,index){var key=item[NODE_KEY];var isNodeExists=!!key&&Object(util_[\"arrayFindIndex\"])(oldData,function(data){return data[NODE_KEY]===key;})>=0;if(isNodeExists){newDataMap[key]={index:index,data:item};}else{newNodes.push({index:index,data:item});}});if(!this.store.lazy){oldData.forEach(function(item){if(!newDataMap[item[NODE_KEY]])_this4.removeChildByData(item);});}newNodes.forEach(function(_ref){var index=_ref.index,data=_ref.data;_this4.insertChild({data:data},index);});this.updateLeafState();};Node.prototype.loadData=function loadData(callback){var _this5=this;var defaultProps=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};if(this.store.lazy===true&&this.store.load&&!this.loaded&&(!this.loading||Object.keys(defaultProps).length)){this.loading=true;var resolve=function resolve(children){_this5.childNodes=[];_this5.doCreateChildren(children,defaultProps);_this5.loaded=true;_this5.loading=false;_this5.updateLeafState();if(callback){callback.call(_this5,children);}};this.store.load(this,resolve);}else{if(callback){callback.call(this);}}};_createClass(Node,[{key:'label',get:function get(){return getPropertyFromData(this,'label');}},{key:'key',get:function get(){var nodeKey=this.store.key;if(this.data)return this.data[nodeKey];return null;}},{key:'disabled',get:function get(){return getPropertyFromData(this,'disabled');}},{key:'nextSibling',get:function get(){var parent=this.parent;if(parent){var index=parent.childNodes.indexOf(this);if(index>-1){return parent.childNodes[index+1];}}return null;}},{key:'previousSibling',get:function get(){var parent=this.parent;if(parent){var index=parent.childNodes.indexOf(this);if(index>-1){return index>0?parent.childNodes[index-1]:null;}}return null;}}]);return Node;}();/* harmony default export */var model_node=node_Node;// CONCATENATED MODULE: ./packages/tree/src/model/tree-store.js\nvar tree_store_typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(obj){return typeof obj;}:function(obj){return obj&&typeof Symbol===\"function\"&&obj.constructor===Symbol&&obj!==Symbol.prototype?\"symbol\":typeof obj;};function tree_store_classCallCheck(instance,Constructor){if(!(instance instanceof Constructor)){throw new TypeError(\"Cannot call a class as a function\");}}var tree_store_TreeStore=function(){function TreeStore(options){var _this=this;tree_store_classCallCheck(this,TreeStore);this.currentNode=null;this.currentNodeKey=null;for(var option in options){if(options.hasOwnProperty(option)){this[option]=options[option];}}this.nodesMap={};this.root=new model_node({data:this.data,store:this});if(this.lazy&&this.load){var loadFn=this.load;loadFn(this.root,function(data){_this.root.doCreateChildren(data);_this._initDefaultCheckedNodes();});}else{this._initDefaultCheckedNodes();}}TreeStore.prototype.filter=function filter(value){var filterNodeMethod=this.filterNodeMethod;var lazy=this.lazy;var traverse=function traverse(node){var childNodes=node.root?node.root.childNodes:node.childNodes;childNodes.forEach(function(child){child.visible=filterNodeMethod.call(child,value,child.data,child);traverse(child);});if(!node.visible&&childNodes.length){var allHidden=true;allHidden=!childNodes.some(function(child){return child.visible;});if(node.root){node.root.visible=allHidden===false;}else{node.visible=allHidden===false;}}if(!value)return;if(node.visible&&!node.isLeaf&&!lazy)node.expand();};traverse(this);};TreeStore.prototype.setData=function setData(newVal){var instanceChanged=newVal!==this.root.data;if(instanceChanged){this.root.setData(newVal);this._initDefaultCheckedNodes();}else{this.root.updateChildren();}};TreeStore.prototype.getNode=function getNode(data){if(data instanceof model_node)return data;var key=(typeof data==='undefined'?'undefined':tree_store_typeof(data))!=='object'?data:util_getNodeKey(this.key,data);return this.nodesMap[key]||null;};TreeStore.prototype.insertBefore=function insertBefore(data,refData){var refNode=this.getNode(refData);refNode.parent.insertBefore({data:data},refNode);};TreeStore.prototype.insertAfter=function insertAfter(data,refData){var refNode=this.getNode(refData);refNode.parent.insertAfter({data:data},refNode);};TreeStore.prototype.remove=function remove(data){var node=this.getNode(data);if(node&&node.parent){if(node===this.currentNode){this.currentNode=null;}node.parent.removeChild(node);}};TreeStore.prototype.append=function append(data,parentData){var parentNode=parentData?this.getNode(parentData):this.root;if(parentNode){parentNode.insertChild({data:data});}};TreeStore.prototype._initDefaultCheckedNodes=function _initDefaultCheckedNodes(){var _this2=this;var defaultCheckedKeys=this.defaultCheckedKeys||[];var nodesMap=this.nodesMap;defaultCheckedKeys.forEach(function(checkedKey){var node=nodesMap[checkedKey];if(node){node.setChecked(true,!_this2.checkStrictly);}});};TreeStore.prototype._initDefaultCheckedNode=function _initDefaultCheckedNode(node){var defaultCheckedKeys=this.defaultCheckedKeys||[];if(defaultCheckedKeys.indexOf(node.key)!==-1){node.setChecked(true,!this.checkStrictly);}};TreeStore.prototype.setDefaultCheckedKey=function setDefaultCheckedKey(newVal){if(newVal!==this.defaultCheckedKeys){this.defaultCheckedKeys=newVal;this._initDefaultCheckedNodes();}};TreeStore.prototype.registerNode=function registerNode(node){var key=this.key;if(!key||!node||!node.data)return;var nodeKey=node.key;if(nodeKey!==undefined)this.nodesMap[node.key]=node;};TreeStore.prototype.deregisterNode=function deregisterNode(node){var _this3=this;var key=this.key;if(!key||!node||!node.data)return;node.childNodes.forEach(function(child){_this3.deregisterNode(child);});delete this.nodesMap[node.key];};TreeStore.prototype.getCheckedNodes=function getCheckedNodes(){var leafOnly=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;var includeHalfChecked=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var checkedNodes=[];var traverse=function traverse(node){var childNodes=node.root?node.root.childNodes:node.childNodes;childNodes.forEach(function(child){if((child.checked||includeHalfChecked&&child.indeterminate)&&(!leafOnly||leafOnly&&child.isLeaf)){checkedNodes.push(child.data);}traverse(child);});};traverse(this);return checkedNodes;};TreeStore.prototype.getCheckedKeys=function getCheckedKeys(){var _this4=this;var leafOnly=arguments.length>0&&arguments[0]!==undefined?arguments[0]:false;return this.getCheckedNodes(leafOnly).map(function(data){return(data||{})[_this4.key];});};TreeStore.prototype.getHalfCheckedNodes=function getHalfCheckedNodes(){var nodes=[];var traverse=function traverse(node){var childNodes=node.root?node.root.childNodes:node.childNodes;childNodes.forEach(function(child){if(child.indeterminate){nodes.push(child.data);}traverse(child);});};traverse(this);return nodes;};TreeStore.prototype.getHalfCheckedKeys=function getHalfCheckedKeys(){var _this5=this;return this.getHalfCheckedNodes().map(function(data){return(data||{})[_this5.key];});};TreeStore.prototype._getAllNodes=function _getAllNodes(){var allNodes=[];var nodesMap=this.nodesMap;for(var nodeKey in nodesMap){if(nodesMap.hasOwnProperty(nodeKey)){allNodes.push(nodesMap[nodeKey]);}}return allNodes;};TreeStore.prototype.updateChildren=function updateChildren(key,data){var node=this.nodesMap[key];if(!node)return;var childNodes=node.childNodes;for(var i=childNodes.length-1;i>=0;i--){var child=childNodes[i];this.remove(child.data);}for(var _i=0,j=data.length;_i<j;_i++){var _child=data[_i];this.append(_child,node.data);}};TreeStore.prototype._setCheckedKeys=function _setCheckedKeys(key){var leafOnly=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var checkedKeys=arguments[2];var allNodes=this._getAllNodes().sort(function(a,b){return b.level-a.level;});var cache=Object.create(null);var keys=Object.keys(checkedKeys);allNodes.forEach(function(node){return node.setChecked(false,false);});for(var i=0,j=allNodes.length;i<j;i++){var node=allNodes[i];var nodeKey=node.data[key].toString();var checked=keys.indexOf(nodeKey)>-1;if(!checked){if(node.checked&&!cache[nodeKey]){node.setChecked(false,false);}continue;}var parent=node.parent;while(parent&&parent.level>0){cache[parent.data[key]]=true;parent=parent.parent;}if(node.isLeaf||this.checkStrictly){node.setChecked(true,false);continue;}node.setChecked(true,true);if(leafOnly){(function(){node.setChecked(false,false);var traverse=function traverse(node){var childNodes=node.childNodes;childNodes.forEach(function(child){if(!child.isLeaf){child.setChecked(false,false);}traverse(child);});};traverse(node);})();}}};TreeStore.prototype.setCheckedNodes=function setCheckedNodes(array){var leafOnly=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;var key=this.key;var checkedKeys={};array.forEach(function(item){checkedKeys[(item||{})[key]]=true;});this._setCheckedKeys(key,leafOnly,checkedKeys);};TreeStore.prototype.setCheckedKeys=function setCheckedKeys(keys){var leafOnly=arguments.length>1&&arguments[1]!==undefined?arguments[1]:false;this.defaultCheckedKeys=keys;var key=this.key;var checkedKeys={};keys.forEach(function(key){checkedKeys[key]=true;});this._setCheckedKeys(key,leafOnly,checkedKeys);};TreeStore.prototype.setDefaultExpandedKeys=function setDefaultExpandedKeys(keys){var _this6=this;keys=keys||[];this.defaultExpandedKeys=keys;keys.forEach(function(key){var node=_this6.getNode(key);if(node)node.expand(null,_this6.autoExpandParent);});};TreeStore.prototype.setChecked=function setChecked(data,checked,deep){var node=this.getNode(data);if(node){node.setChecked(!!checked,deep);}};TreeStore.prototype.getCurrentNode=function getCurrentNode(){return this.currentNode;};TreeStore.prototype.setCurrentNode=function setCurrentNode(currentNode){var prevCurrentNode=this.currentNode;if(prevCurrentNode){prevCurrentNode.isCurrent=false;}this.currentNode=currentNode;this.currentNode.isCurrent=true;};TreeStore.prototype.setUserCurrentNode=function setUserCurrentNode(node){var key=node[this.key];var currNode=this.nodesMap[key];this.setCurrentNode(currNode);};TreeStore.prototype.setCurrentNodeKey=function setCurrentNodeKey(key){if(key===null||key===undefined){this.currentNode&&(this.currentNode.isCurrent=false);this.currentNode=null;return;}var node=this.getNode(key);if(node){this.setCurrentNode(node);}};return TreeStore;}();/* harmony default export */var tree_store=tree_store_TreeStore;;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/tree/src/tree-node.vue?vue&type=template&id=3ba3ef0e&\nvar tree_nodevue_type_template_id_3ba3ef0e_render=function(){var this$1=this;var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.node.visible,expression:\"node.visible\"}],ref:\"node\",staticClass:\"el-tree-node\",class:{\"is-expanded\":_vm.expanded,\"is-current\":_vm.node.isCurrent,\"is-hidden\":!_vm.node.visible,\"is-focusable\":!_vm.node.disabled,\"is-checked\":!_vm.node.disabled&&_vm.node.checked},attrs:{role:\"treeitem\",tabindex:\"-1\",\"aria-expanded\":_vm.expanded,\"aria-disabled\":_vm.node.disabled,\"aria-checked\":_vm.node.checked,draggable:_vm.tree.draggable},on:{click:function($event){$event.stopPropagation();return _vm.handleClick($event);},contextmenu:function($event){return this$1.handleContextMenu($event);},dragstart:function($event){$event.stopPropagation();return _vm.handleDragStart($event);},dragover:function($event){$event.stopPropagation();return _vm.handleDragOver($event);},dragend:function($event){$event.stopPropagation();return _vm.handleDragEnd($event);},drop:function($event){$event.stopPropagation();return _vm.handleDrop($event);}}},[_c(\"div\",{staticClass:\"el-tree-node__content\",style:{\"padding-left\":(_vm.node.level-1)*_vm.tree.indent+\"px\"}},[_c(\"span\",{class:[{\"is-leaf\":_vm.node.isLeaf,expanded:!_vm.node.isLeaf&&_vm.expanded},\"el-tree-node__expand-icon\",_vm.tree.iconClass?_vm.tree.iconClass:\"el-icon-caret-right\"],on:{click:function($event){$event.stopPropagation();return _vm.handleExpandIconClick($event);}}}),_vm.showCheckbox?_c(\"el-checkbox\",{attrs:{indeterminate:_vm.node.indeterminate,disabled:!!_vm.node.disabled},on:{change:_vm.handleCheckChange},nativeOn:{click:function($event){$event.stopPropagation();}},model:{value:_vm.node.checked,callback:function($$v){_vm.$set(_vm.node,\"checked\",$$v);},expression:\"node.checked\"}}):_vm._e(),_vm.node.loading?_c(\"span\",{staticClass:\"el-tree-node__loading-icon el-icon-loading\"}):_vm._e(),_c(\"node-content\",{attrs:{node:_vm.node}})],1),_c(\"el-collapse-transition\",[!_vm.renderAfterExpand||_vm.childNodeRendered?_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.expanded,expression:\"expanded\"}],staticClass:\"el-tree-node__children\",attrs:{role:\"group\",\"aria-expanded\":_vm.expanded}},_vm._l(_vm.node.childNodes,function(child){return _c(\"el-tree-node\",{key:_vm.getNodeKey(child),attrs:{\"render-content\":_vm.renderContent,\"render-after-expand\":_vm.renderAfterExpand,\"show-checkbox\":_vm.showCheckbox,node:child},on:{\"node-expand\":_vm.handleChildNodeExpand}});}),1):_vm._e()])],1);};var tree_nodevue_type_template_id_3ba3ef0e_staticRenderFns=[];tree_nodevue_type_template_id_3ba3ef0e_render._withStripped=true;// CONCATENATED MODULE: ./packages/tree/src/tree-node.vue?vue&type=template&id=3ba3ef0e&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/tree/src/tree-node.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var tree_nodevue_type_script_lang_js_={name:'ElTreeNode',componentName:'ElTreeNode',mixins:[emitter_default.a],props:{node:{default:function _default(){return{};}},props:{},renderContent:Function,renderAfterExpand:{type:Boolean,default:true},showCheckbox:{type:Boolean,default:false}},components:{ElCollapseTransition:collapse_transition_default.a,ElCheckbox:checkbox_default.a,NodeContent:{props:{node:{required:true}},render:function render(h){var parent=this.$parent;var tree=parent.tree;var node=this.node;var data=node.data,store=node.store;return parent.renderContent?parent.renderContent.call(parent._renderProxy,h,{_self:tree.$vnode.context,node:node,data:data,store:store}):tree.$scopedSlots.default?tree.$scopedSlots.default({node:node,data:data}):h('span',{'class':'el-tree-node__label'},[node.label]);}}},data:function data(){return{tree:null,expanded:false,childNodeRendered:false,oldChecked:null,oldIndeterminate:null};},watch:{'node.indeterminate':function nodeIndeterminate(val){this.handleSelectChange(this.node.checked,val);},'node.checked':function nodeChecked(val){this.handleSelectChange(val,this.node.indeterminate);},'node.expanded':function nodeExpanded(val){var _this=this;this.$nextTick(function(){return _this.expanded=val;});if(val){this.childNodeRendered=true;}}},methods:{getNodeKey:function getNodeKey(node){return util_getNodeKey(this.tree.nodeKey,node.data);},handleSelectChange:function handleSelectChange(checked,indeterminate){if(this.oldChecked!==checked&&this.oldIndeterminate!==indeterminate){this.tree.$emit('check-change',this.node.data,checked,indeterminate);}this.oldChecked=checked;this.indeterminate=indeterminate;},handleClick:function handleClick(){var store=this.tree.store;store.setCurrentNode(this.node);this.tree.$emit('current-change',store.currentNode?store.currentNode.data:null,store.currentNode);this.tree.currentNode=this;if(this.tree.expandOnClickNode){this.handleExpandIconClick();}if(this.tree.checkOnClickNode&&!this.node.disabled){this.handleCheckChange(null,{target:{checked:!this.node.checked}});}this.tree.$emit('node-click',this.node.data,this.node,this);},handleContextMenu:function handleContextMenu(event){if(this.tree._events['node-contextmenu']&&this.tree._events['node-contextmenu'].length>0){event.stopPropagation();event.preventDefault();}this.tree.$emit('node-contextmenu',event,this.node.data,this.node,this);},handleExpandIconClick:function handleExpandIconClick(){if(this.node.isLeaf)return;if(this.expanded){this.tree.$emit('node-collapse',this.node.data,this.node,this);this.node.collapse();}else{this.node.expand();this.$emit('node-expand',this.node.data,this.node,this);}},handleCheckChange:function handleCheckChange(value,ev){var _this2=this;this.node.setChecked(ev.target.checked,!this.tree.checkStrictly);this.$nextTick(function(){var store=_this2.tree.store;_this2.tree.$emit('check',_this2.node.data,{checkedNodes:store.getCheckedNodes(),checkedKeys:store.getCheckedKeys(),halfCheckedNodes:store.getHalfCheckedNodes(),halfCheckedKeys:store.getHalfCheckedKeys()});});},handleChildNodeExpand:function handleChildNodeExpand(nodeData,node,instance){this.broadcast('ElTreeNode','tree-node-expand',node);this.tree.$emit('node-expand',nodeData,node,instance);},handleDragStart:function handleDragStart(event){if(!this.tree.draggable)return;this.tree.$emit('tree-node-drag-start',event,this);},handleDragOver:function handleDragOver(event){if(!this.tree.draggable)return;this.tree.$emit('tree-node-drag-over',event,this);event.preventDefault();},handleDrop:function handleDrop(event){event.preventDefault();},handleDragEnd:function handleDragEnd(event){if(!this.tree.draggable)return;this.tree.$emit('tree-node-drag-end',event,this);}},created:function created(){var _this3=this;var parent=this.$parent;if(parent.isTree){this.tree=parent;}else{this.tree=parent.tree;}var tree=this.tree;if(!tree){console.warn('Can not find node\\'s tree.');}var props=tree.props||{};var childrenKey=props['children']||'children';this.$watch('node.data.'+childrenKey,function(){_this3.node.updateChildren();});if(this.node.expanded){this.expanded=true;this.childNodeRendered=true;}if(this.tree.accordion){this.$on('tree-node-expand',function(node){if(_this3.node!==node){_this3.node.collapse();}});}}};// CONCATENATED MODULE: ./packages/tree/src/tree-node.vue?vue&type=script&lang=js&\n/* harmony default export */var src_tree_nodevue_type_script_lang_js_=tree_nodevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/tree/src/tree-node.vue\n/* normalize component */var tree_node_component=normalizeComponent(src_tree_nodevue_type_script_lang_js_,tree_nodevue_type_template_id_3ba3ef0e_render,tree_nodevue_type_template_id_3ba3ef0e_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var tree_node_api; }tree_node_component.options.__file=\"packages/tree/src/tree-node.vue\";/* harmony default export */var tree_node=tree_node_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/tree/src/tree.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var treevue_type_script_lang_js_={name:'ElTree',mixins:[emitter_default.a],components:{ElTreeNode:tree_node},data:function data(){return{store:null,root:null,currentNode:null,treeItems:null,checkboxItems:[],dragState:{showDropIndicator:false,draggingNode:null,dropNode:null,allowDrop:true}};},props:{data:{type:Array},emptyText:{type:String,default:function _default(){return Object(lib_locale_[\"t\"])('el.tree.emptyText');}},renderAfterExpand:{type:Boolean,default:true},nodeKey:String,checkStrictly:Boolean,defaultExpandAll:Boolean,expandOnClickNode:{type:Boolean,default:true},checkOnClickNode:Boolean,checkDescendants:{type:Boolean,default:false},autoExpandParent:{type:Boolean,default:true},defaultCheckedKeys:Array,defaultExpandedKeys:Array,currentNodeKey:[String,Number],renderContent:Function,showCheckbox:{type:Boolean,default:false},draggable:{type:Boolean,default:false},allowDrag:Function,allowDrop:Function,props:{default:function _default(){return{children:'children',label:'label',disabled:'disabled'};}},lazy:{type:Boolean,default:false},highlightCurrent:Boolean,load:Function,filterNodeMethod:Function,accordion:Boolean,indent:{type:Number,default:18},iconClass:String},computed:{children:{set:function set(value){this.data=value;},get:function get(){return this.data;}},treeItemArray:function treeItemArray(){return Array.prototype.slice.call(this.treeItems);},isEmpty:function isEmpty(){var childNodes=this.root.childNodes;return!childNodes||childNodes.length===0||childNodes.every(function(_ref){var visible=_ref.visible;return!visible;});}},watch:{defaultCheckedKeys:function defaultCheckedKeys(newVal){this.store.setDefaultCheckedKey(newVal);},defaultExpandedKeys:function defaultExpandedKeys(newVal){this.store.defaultExpandedKeys=newVal;this.store.setDefaultExpandedKeys(newVal);},data:function data(newVal){this.store.setData(newVal);},checkboxItems:function checkboxItems(val){Array.prototype.forEach.call(val,function(checkbox){checkbox.setAttribute('tabindex',-1);});},checkStrictly:function checkStrictly(newVal){this.store.checkStrictly=newVal;}},methods:{filter:function filter(value){if(!this.filterNodeMethod)throw new Error('[Tree] filterNodeMethod is required when filter');this.store.filter(value);},getNodeKey:function getNodeKey(node){return util_getNodeKey(this.nodeKey,node.data);},getNodePath:function getNodePath(data){if(!this.nodeKey)throw new Error('[Tree] nodeKey is required in getNodePath');var node=this.store.getNode(data);if(!node)return[];var path=[node.data];var parent=node.parent;while(parent&&parent!==this.root){path.push(parent.data);parent=parent.parent;}return path.reverse();},getCheckedNodes:function getCheckedNodes(leafOnly,includeHalfChecked){return this.store.getCheckedNodes(leafOnly,includeHalfChecked);},getCheckedKeys:function getCheckedKeys(leafOnly){return this.store.getCheckedKeys(leafOnly);},getCurrentNode:function getCurrentNode(){var currentNode=this.store.getCurrentNode();return currentNode?currentNode.data:null;},getCurrentKey:function getCurrentKey(){if(!this.nodeKey)throw new Error('[Tree] nodeKey is required in getCurrentKey');var currentNode=this.getCurrentNode();return currentNode?currentNode[this.nodeKey]:null;},setCheckedNodes:function setCheckedNodes(nodes,leafOnly){if(!this.nodeKey)throw new Error('[Tree] nodeKey is required in setCheckedNodes');this.store.setCheckedNodes(nodes,leafOnly);},setCheckedKeys:function setCheckedKeys(keys,leafOnly){if(!this.nodeKey)throw new Error('[Tree] nodeKey is required in setCheckedKeys');this.store.setCheckedKeys(keys,leafOnly);},setChecked:function setChecked(data,checked,deep){this.store.setChecked(data,checked,deep);},getHalfCheckedNodes:function getHalfCheckedNodes(){return this.store.getHalfCheckedNodes();},getHalfCheckedKeys:function getHalfCheckedKeys(){return this.store.getHalfCheckedKeys();},setCurrentNode:function setCurrentNode(node){if(!this.nodeKey)throw new Error('[Tree] nodeKey is required in setCurrentNode');this.store.setUserCurrentNode(node);},setCurrentKey:function setCurrentKey(key){if(!this.nodeKey)throw new Error('[Tree] nodeKey is required in setCurrentKey');this.store.setCurrentNodeKey(key);},getNode:function getNode(data){return this.store.getNode(data);},remove:function remove(data){this.store.remove(data);},append:function append(data,parentNode){this.store.append(data,parentNode);},insertBefore:function insertBefore(data,refNode){this.store.insertBefore(data,refNode);},insertAfter:function insertAfter(data,refNode){this.store.insertAfter(data,refNode);},handleNodeExpand:function handleNodeExpand(nodeData,node,instance){this.broadcast('ElTreeNode','tree-node-expand',node);this.$emit('node-expand',nodeData,node,instance);},updateKeyChildren:function updateKeyChildren(key,data){if(!this.nodeKey)throw new Error('[Tree] nodeKey is required in updateKeyChild');this.store.updateChildren(key,data);},initTabIndex:function initTabIndex(){this.treeItems=this.$el.querySelectorAll('.is-focusable[role=treeitem]');this.checkboxItems=this.$el.querySelectorAll('input[type=checkbox]');var checkedItem=this.$el.querySelectorAll('.is-checked[role=treeitem]');if(checkedItem.length){checkedItem[0].setAttribute('tabindex',0);return;}this.treeItems[0]&&this.treeItems[0].setAttribute('tabindex',0);},handleKeydown:function handleKeydown(ev){var currentItem=ev.target;if(currentItem.className.indexOf('el-tree-node')===-1)return;var keyCode=ev.keyCode;this.treeItems=this.$el.querySelectorAll('.is-focusable[role=treeitem]');var currentIndex=this.treeItemArray.indexOf(currentItem);var nextIndex=void 0;if([38,40].indexOf(keyCode)>-1){// up、down\nev.preventDefault();if(keyCode===38){// up\nnextIndex=currentIndex!==0?currentIndex-1:0;}else{nextIndex=currentIndex<this.treeItemArray.length-1?currentIndex+1:0;}this.treeItemArray[nextIndex].focus();// 选中\n}if([37,39].indexOf(keyCode)>-1){// left、right 展开\nev.preventDefault();currentItem.click();// 选中\n}var hasInput=currentItem.querySelector('[type=\"checkbox\"]');if([13,32].indexOf(keyCode)>-1&&hasInput){// space enter选中checkbox\nev.preventDefault();hasInput.click();}}},created:function created(){var _this=this;this.isTree=true;this.store=new tree_store({key:this.nodeKey,data:this.data,lazy:this.lazy,props:this.props,load:this.load,currentNodeKey:this.currentNodeKey,checkStrictly:this.checkStrictly,checkDescendants:this.checkDescendants,defaultCheckedKeys:this.defaultCheckedKeys,defaultExpandedKeys:this.defaultExpandedKeys,autoExpandParent:this.autoExpandParent,defaultExpandAll:this.defaultExpandAll,filterNodeMethod:this.filterNodeMethod});this.root=this.store.root;var dragState=this.dragState;this.$on('tree-node-drag-start',function(event,treeNode){if(typeof _this.allowDrag==='function'&&!_this.allowDrag(treeNode.node)){event.preventDefault();return false;}event.dataTransfer.effectAllowed='move';// wrap in try catch to address IE's error when first param is 'text/plain'\ntry{// setData is required for draggable to work in FireFox\n// the content has to be '' so dragging a node out of the tree won't open a new tab in FireFox\nevent.dataTransfer.setData('text/plain','');}catch(e){}dragState.draggingNode=treeNode;_this.$emit('node-drag-start',treeNode.node,event);});this.$on('tree-node-drag-over',function(event,treeNode){var dropNode=findNearestComponent(event.target,'ElTreeNode');var oldDropNode=dragState.dropNode;if(oldDropNode&&oldDropNode!==dropNode){Object(dom_[\"removeClass\"])(oldDropNode.$el,'is-drop-inner');}var draggingNode=dragState.draggingNode;if(!draggingNode||!dropNode)return;var dropPrev=true;var dropInner=true;var dropNext=true;var userAllowDropInner=true;if(typeof _this.allowDrop==='function'){dropPrev=_this.allowDrop(draggingNode.node,dropNode.node,'prev');userAllowDropInner=dropInner=_this.allowDrop(draggingNode.node,dropNode.node,'inner');dropNext=_this.allowDrop(draggingNode.node,dropNode.node,'next');}event.dataTransfer.dropEffect=dropInner?'move':'none';if((dropPrev||dropInner||dropNext)&&oldDropNode!==dropNode){if(oldDropNode){_this.$emit('node-drag-leave',draggingNode.node,oldDropNode.node,event);}_this.$emit('node-drag-enter',draggingNode.node,dropNode.node,event);}if(dropPrev||dropInner||dropNext){dragState.dropNode=dropNode;}if(dropNode.node.nextSibling===draggingNode.node){dropNext=false;}if(dropNode.node.previousSibling===draggingNode.node){dropPrev=false;}if(dropNode.node.contains(draggingNode.node,false)){dropInner=false;}if(draggingNode.node===dropNode.node||draggingNode.node.contains(dropNode.node)){dropPrev=false;dropInner=false;dropNext=false;}var targetPosition=dropNode.$el.getBoundingClientRect();var treePosition=_this.$el.getBoundingClientRect();var dropType=void 0;var prevPercent=dropPrev?dropInner?0.25:dropNext?0.45:1:-1;var nextPercent=dropNext?dropInner?0.75:dropPrev?0.55:0:1;var indicatorTop=-9999;var distance=event.clientY-targetPosition.top;if(distance<targetPosition.height*prevPercent){dropType='before';}else if(distance>targetPosition.height*nextPercent){dropType='after';}else if(dropInner){dropType='inner';}else{dropType='none';}var iconPosition=dropNode.$el.querySelector('.el-tree-node__expand-icon').getBoundingClientRect();var dropIndicator=_this.$refs.dropIndicator;if(dropType==='before'){indicatorTop=iconPosition.top-treePosition.top;}else if(dropType==='after'){indicatorTop=iconPosition.bottom-treePosition.top;}dropIndicator.style.top=indicatorTop+'px';dropIndicator.style.left=iconPosition.right-treePosition.left+'px';if(dropType==='inner'){Object(dom_[\"addClass\"])(dropNode.$el,'is-drop-inner');}else{Object(dom_[\"removeClass\"])(dropNode.$el,'is-drop-inner');}dragState.showDropIndicator=dropType==='before'||dropType==='after';dragState.allowDrop=dragState.showDropIndicator||userAllowDropInner;dragState.dropType=dropType;_this.$emit('node-drag-over',draggingNode.node,dropNode.node,event);});this.$on('tree-node-drag-end',function(event){var draggingNode=dragState.draggingNode,dropType=dragState.dropType,dropNode=dragState.dropNode;event.preventDefault();event.dataTransfer.dropEffect='move';if(draggingNode&&dropNode){var draggingNodeCopy={data:draggingNode.node.data};if(dropType!=='none'){draggingNode.node.remove();}if(dropType==='before'){dropNode.node.parent.insertBefore(draggingNodeCopy,dropNode.node);}else if(dropType==='after'){dropNode.node.parent.insertAfter(draggingNodeCopy,dropNode.node);}else if(dropType==='inner'){dropNode.node.insertChild(draggingNodeCopy);}if(dropType!=='none'){_this.store.registerNode(draggingNodeCopy);}Object(dom_[\"removeClass\"])(dropNode.$el,'is-drop-inner');_this.$emit('node-drag-end',draggingNode.node,dropNode.node,dropType,event);if(dropType!=='none'){_this.$emit('node-drop',draggingNode.node,dropNode.node,dropType,event);}}if(draggingNode&&!dropNode){_this.$emit('node-drag-end',draggingNode.node,null,dropType,event);}dragState.showDropIndicator=false;dragState.draggingNode=null;dragState.dropNode=null;dragState.allowDrop=true;});},mounted:function mounted(){this.initTabIndex();this.$el.addEventListener('keydown',this.handleKeydown);},updated:function updated(){this.treeItems=this.$el.querySelectorAll('[role=treeitem]');this.checkboxItems=this.$el.querySelectorAll('input[type=checkbox]');}};// CONCATENATED MODULE: ./packages/tree/src/tree.vue?vue&type=script&lang=js&\n/* harmony default export */var src_treevue_type_script_lang_js_=treevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/tree/src/tree.vue\n/* normalize component */var tree_component=normalizeComponent(src_treevue_type_script_lang_js_,treevue_type_template_id_547575a6_render,treevue_type_template_id_547575a6_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var tree_api; }tree_component.options.__file=\"packages/tree/src/tree.vue\";/* harmony default export */var src_tree=tree_component.exports;// CONCATENATED MODULE: ./packages/tree/index.js\n/* istanbul ignore next */src_tree.install=function(Vue){Vue.component(src_tree.name,src_tree);};/* harmony default export */var packages_tree=src_tree;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/alert/src/main.vue?vue&type=template&id=6e53341b&\nvar mainvue_type_template_id_6e53341b_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-alert-fade\"}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-alert\",class:[_vm.typeClass,_vm.center?\"is-center\":\"\",\"is-\"+_vm.effect],attrs:{role:\"alert\"}},[_vm.showIcon?_c(\"i\",{staticClass:\"el-alert__icon\",class:[_vm.iconClass,_vm.isBigIcon]}):_vm._e(),_c(\"div\",{staticClass:\"el-alert__content\"},[_vm.title||_vm.$slots.title?_c(\"span\",{staticClass:\"el-alert__title\",class:[_vm.isBoldTitle]},[_vm._t(\"title\",[_vm._v(_vm._s(_vm.title))])],2):_vm._e(),_vm.$slots.default&&!_vm.description?_c(\"p\",{staticClass:\"el-alert__description\"},[_vm._t(\"default\")],2):_vm._e(),_vm.description&&!_vm.$slots.default?_c(\"p\",{staticClass:\"el-alert__description\"},[_vm._v(_vm._s(_vm.description))]):_vm._e(),_c(\"i\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.closable,expression:\"closable\"}],staticClass:\"el-alert__closebtn\",class:{\"is-customed\":_vm.closeText!==\"\",\"el-icon-close\":_vm.closeText===\"\"},on:{click:function($event){_vm.close();}}},[_vm._v(_vm._s(_vm.closeText))])])])]);};var mainvue_type_template_id_6e53341b_staticRenderFns=[];mainvue_type_template_id_6e53341b_render._withStripped=true;// CONCATENATED MODULE: ./packages/alert/src/main.vue?vue&type=template&id=6e53341b&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/alert/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar TYPE_CLASSES_MAP={'success':'el-icon-success','warning':'el-icon-warning','error':'el-icon-error'};/* harmony default export */var alert_src_mainvue_type_script_lang_js_={name:'ElAlert',props:{title:{type:String,default:''},description:{type:String,default:''},type:{type:String,default:'info'},closable:{type:Boolean,default:true},closeText:{type:String,default:''},showIcon:Boolean,center:Boolean,effect:{type:String,default:'light',validator:function validator(value){return['light','dark'].indexOf(value)!==-1;}}},data:function data(){return{visible:true};},methods:{close:function close(){this.visible=false;this.$emit('close');}},computed:{typeClass:function typeClass(){return'el-alert--'+this.type;},iconClass:function iconClass(){return TYPE_CLASSES_MAP[this.type]||'el-icon-info';},isBigIcon:function isBigIcon(){return this.description||this.$slots.default?'is-big':'';},isBoldTitle:function isBoldTitle(){return this.description||this.$slots.default?'is-bold':'';}}};// CONCATENATED MODULE: ./packages/alert/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_alert_src_mainvue_type_script_lang_js_=alert_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/alert/src/main.vue\n/* normalize component */var alert_src_main_component=normalizeComponent(packages_alert_src_mainvue_type_script_lang_js_,mainvue_type_template_id_6e53341b_render,mainvue_type_template_id_6e53341b_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var alert_src_main_api; }alert_src_main_component.options.__file=\"packages/alert/src/main.vue\";/* harmony default export */var alert_src_main=alert_src_main_component.exports;// CONCATENATED MODULE: ./packages/alert/index.js\n/* istanbul ignore next */alert_src_main.install=function(Vue){Vue.component(alert_src_main.name,alert_src_main);};/* harmony default export */var packages_alert=alert_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/notification/src/main.vue?vue&type=template&id=43dbc3d8&\nvar mainvue_type_template_id_43dbc3d8_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-notification-fade\"}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],class:[\"el-notification\",_vm.customClass,_vm.horizontalClass],style:_vm.positionStyle,attrs:{role:\"alert\"},on:{mouseenter:function($event){_vm.clearTimer();},mouseleave:function($event){_vm.startTimer();},click:_vm.click}},[_vm.type||_vm.iconClass?_c(\"i\",{staticClass:\"el-notification__icon\",class:[_vm.typeClass,_vm.iconClass]}):_vm._e(),_c(\"div\",{staticClass:\"el-notification__group\",class:{\"is-with-icon\":_vm.typeClass||_vm.iconClass}},[_c(\"h2\",{staticClass:\"el-notification__title\",domProps:{textContent:_vm._s(_vm.title)}}),_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.message,expression:\"message\"}],staticClass:\"el-notification__content\"},[_vm._t(\"default\",[!_vm.dangerouslyUseHTMLString?_c(\"p\",[_vm._v(_vm._s(_vm.message))]):_c(\"p\",{domProps:{innerHTML:_vm._s(_vm.message)}})])],2),_vm.showClose?_c(\"div\",{staticClass:\"el-notification__closeBtn el-icon-close\",on:{click:function($event){$event.stopPropagation();return _vm.close($event);}}}):_vm._e()])])]);};var mainvue_type_template_id_43dbc3d8_staticRenderFns=[];mainvue_type_template_id_43dbc3d8_render._withStripped=true;// CONCATENATED MODULE: ./packages/notification/src/main.vue?vue&type=template&id=43dbc3d8&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/notification/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar mainvue_type_script_lang_js_typeMap={success:'success',info:'info',warning:'warning',error:'error'};/* harmony default export */var notification_src_mainvue_type_script_lang_js_={data:function data(){return{visible:false,title:'',message:'',duration:4500,type:'',showClose:true,customClass:'',iconClass:'',onClose:null,onClick:null,closed:false,verticalOffset:0,timer:null,dangerouslyUseHTMLString:false,position:'top-right'};},computed:{typeClass:function typeClass(){return this.type&&mainvue_type_script_lang_js_typeMap[this.type]?'el-icon-'+mainvue_type_script_lang_js_typeMap[this.type]:'';},horizontalClass:function horizontalClass(){return this.position.indexOf('right')>-1?'right':'left';},verticalProperty:function verticalProperty(){return /^top-/.test(this.position)?'top':'bottom';},positionStyle:function positionStyle(){var _ref;return _ref={},_ref[this.verticalProperty]=this.verticalOffset+'px',_ref;}},watch:{closed:function closed(newVal){if(newVal){this.visible=false;this.$el.addEventListener('transitionend',this.destroyElement);}}},methods:{destroyElement:function destroyElement(){this.$el.removeEventListener('transitionend',this.destroyElement);this.$destroy(true);this.$el.parentNode.removeChild(this.$el);},click:function click(){if(typeof this.onClick==='function'){this.onClick();}},close:function close(){this.closed=true;if(typeof this.onClose==='function'){this.onClose();}},clearTimer:function clearTimer(){clearTimeout(this.timer);},startTimer:function startTimer(){var _this=this;if(this.duration>0){this.timer=setTimeout(function(){if(!_this.closed){_this.close();}},this.duration);}},keydown:function keydown(e){if(e.keyCode===46||e.keyCode===8){this.clearTimer();// detele 取消倒计时\n}else if(e.keyCode===27){// esc关闭消息\nif(!this.closed){this.close();}}else{this.startTimer();// 恢复倒计时\n}}},mounted:function mounted(){var _this2=this;if(this.duration>0){this.timer=setTimeout(function(){if(!_this2.closed){_this2.close();}},this.duration);}document.addEventListener('keydown',this.keydown);},beforeDestroy:function beforeDestroy(){document.removeEventListener('keydown',this.keydown);}};// CONCATENATED MODULE: ./packages/notification/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_notification_src_mainvue_type_script_lang_js_=notification_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/notification/src/main.vue\n/* normalize component */var notification_src_main_component=normalizeComponent(packages_notification_src_mainvue_type_script_lang_js_,mainvue_type_template_id_43dbc3d8_render,mainvue_type_template_id_43dbc3d8_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var notification_src_main_api; }notification_src_main_component.options.__file=\"packages/notification/src/main.vue\";/* harmony default export */var notification_src_main=notification_src_main_component.exports;// CONCATENATED MODULE: ./packages/notification/src/main.js\nvar NotificationConstructor=external_vue_default.a.extend(notification_src_main);var src_main_instance=void 0;var instances=[];var seed=1;var main_Notification=function Notification(options){if(external_vue_default.a.prototype.$isServer)return;options=merge_default()({},options);var userOnClose=options.onClose;var id='notification_'+seed++;var position=options.position||'top-right';options.onClose=function(){Notification.close(id,userOnClose);};src_main_instance=new NotificationConstructor({data:options});if(Object(vdom_[\"isVNode\"])(options.message)){src_main_instance.$slots.default=[options.message];options.message='REPLACED_BY_VNODE';}src_main_instance.id=id;src_main_instance.$mount();document.body.appendChild(src_main_instance.$el);src_main_instance.visible=true;src_main_instance.dom=src_main_instance.$el;src_main_instance.dom.style.zIndex=popup_[\"PopupManager\"].nextZIndex();var verticalOffset=options.offset||0;instances.filter(function(item){return item.position===position;}).forEach(function(item){verticalOffset+=item.$el.offsetHeight+16;});verticalOffset+=16;src_main_instance.verticalOffset=verticalOffset;instances.push(src_main_instance);return src_main_instance;};['success','warning','info','error'].forEach(function(type){main_Notification[type]=function(options){if(typeof options==='string'||Object(vdom_[\"isVNode\"])(options)){options={message:options};}options.type=type;return main_Notification(options);};});main_Notification.close=function(id,userOnClose){var index=-1;var len=instances.length;var instance=instances.filter(function(instance,i){if(instance.id===id){index=i;return true;}return false;})[0];if(!instance)return;if(typeof userOnClose==='function'){userOnClose(instance);}instances.splice(index,1);if(len<=1)return;var position=instance.position;var removedHeight=instance.dom.offsetHeight;for(var i=index;i<len-1;i++){if(instances[i].position===position){instances[i].dom.style[instance.verticalProperty]=parseInt(instances[i].dom.style[instance.verticalProperty],10)-removedHeight-16+'px';}}};main_Notification.closeAll=function(){for(var i=instances.length-1;i>=0;i--){instances[i].close();}};/* harmony default export */var packages_notification_src_main=main_Notification;// CONCATENATED MODULE: ./packages/notification/index.js\n/* harmony default export */var notification=packages_notification_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/slider/src/main.vue?vue&type=template&id=32708644&\nvar mainvue_type_template_id_32708644_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-slider\",class:{\"is-vertical\":_vm.vertical,\"el-slider--with-input\":_vm.showInput},attrs:{role:\"slider\",\"aria-valuemin\":_vm.min,\"aria-valuemax\":_vm.max,\"aria-orientation\":_vm.vertical?\"vertical\":\"horizontal\",\"aria-disabled\":_vm.sliderDisabled}},[_vm.showInput&&!_vm.range?_c(\"el-input-number\",{ref:\"input\",staticClass:\"el-slider__input\",attrs:{step:_vm.step,disabled:_vm.sliderDisabled,controls:_vm.showInputControls,min:_vm.min,max:_vm.max,debounce:_vm.debounce,size:_vm.inputSize},on:{change:_vm.emitChange},model:{value:_vm.firstValue,callback:function($$v){_vm.firstValue=$$v;},expression:\"firstValue\"}}):_vm._e(),_c(\"div\",{ref:\"slider\",staticClass:\"el-slider__runway\",class:{\"show-input\":_vm.showInput,disabled:_vm.sliderDisabled},style:_vm.runwayStyle,on:{click:_vm.onSliderClick}},[_c(\"div\",{staticClass:\"el-slider__bar\",style:_vm.barStyle}),_c(\"slider-button\",{ref:\"button1\",attrs:{vertical:_vm.vertical,\"tooltip-class\":_vm.tooltipClass},model:{value:_vm.firstValue,callback:function($$v){_vm.firstValue=$$v;},expression:\"firstValue\"}}),_vm.range?_c(\"slider-button\",{ref:\"button2\",attrs:{vertical:_vm.vertical,\"tooltip-class\":_vm.tooltipClass},model:{value:_vm.secondValue,callback:function($$v){_vm.secondValue=$$v;},expression:\"secondValue\"}}):_vm._e(),_vm._l(_vm.stops,function(item,key){return _vm.showStops?_c(\"div\",{key:key,staticClass:\"el-slider__stop\",style:_vm.getStopStyle(item)}):_vm._e();}),_vm.markList.length>0?[_c(\"div\",_vm._l(_vm.markList,function(item,key){return _c(\"div\",{key:key,staticClass:\"el-slider__stop el-slider__marks-stop\",style:_vm.getStopStyle(item.position)});}),0),_c(\"div\",{staticClass:\"el-slider__marks\"},_vm._l(_vm.markList,function(item,key){return _c(\"slider-marker\",{key:key,style:_vm.getStopStyle(item.position),attrs:{mark:item.mark}});}),1)]:_vm._e()],2)],1);};var mainvue_type_template_id_32708644_staticRenderFns=[];mainvue_type_template_id_32708644_render._withStripped=true;// CONCATENATED MODULE: ./packages/slider/src/main.vue?vue&type=template&id=32708644&\n// EXTERNAL MODULE: external \"element-ui/lib/input-number\"\nvar input_number_=__nested_webpack_require_8056__(42);var input_number_default=/*#__PURE__*/__nested_webpack_require_8056__.n(input_number_);// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/slider/src/button.vue?vue&type=template&id=e72d2ad2&\nvar buttonvue_type_template_id_e72d2ad2_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{ref:\"button\",staticClass:\"el-slider__button-wrapper\",class:{hover:_vm.hovering,dragging:_vm.dragging},style:_vm.wrapperStyle,attrs:{tabindex:\"0\"},on:{mouseenter:_vm.handleMouseEnter,mouseleave:_vm.handleMouseLeave,mousedown:_vm.onButtonDown,touchstart:_vm.onButtonDown,focus:_vm.handleMouseEnter,blur:_vm.handleMouseLeave,keydown:[function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"left\",37,$event.key,[\"Left\",\"ArrowLeft\"])){return null;}if(\"button\"in $event&&$event.button!==0){return null;}return _vm.onLeftKeyDown($event);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"right\",39,$event.key,[\"Right\",\"ArrowRight\"])){return null;}if(\"button\"in $event&&$event.button!==2){return null;}return _vm.onRightKeyDown($event);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"down\",40,$event.key,[\"Down\",\"ArrowDown\"])){return null;}$event.preventDefault();return _vm.onLeftKeyDown($event);},function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"up\",38,$event.key,[\"Up\",\"ArrowUp\"])){return null;}$event.preventDefault();return _vm.onRightKeyDown($event);}]}},[_c(\"el-tooltip\",{ref:\"tooltip\",attrs:{placement:\"top\",\"popper-class\":_vm.tooltipClass,disabled:!_vm.showTooltip}},[_c(\"span\",{attrs:{slot:\"content\"},slot:\"content\"},[_vm._v(_vm._s(_vm.formatValue))]),_c(\"div\",{staticClass:\"el-slider__button\",class:{hover:_vm.hovering,dragging:_vm.dragging}})])],1);};var buttonvue_type_template_id_e72d2ad2_staticRenderFns=[];buttonvue_type_template_id_e72d2ad2_render._withStripped=true;// CONCATENATED MODULE: ./packages/slider/src/button.vue?vue&type=template&id=e72d2ad2&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/slider/src/button.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var slider_src_buttonvue_type_script_lang_js_={name:'ElSliderButton',components:{ElTooltip:tooltip_default.a},props:{value:{type:Number,default:0},vertical:{type:Boolean,default:false},tooltipClass:String},data:function data(){return{hovering:false,dragging:false,isClick:false,startX:0,currentX:0,startY:0,currentY:0,startPosition:0,newPosition:null,oldValue:this.value};},computed:{disabled:function disabled(){return this.$parent.sliderDisabled;},max:function max(){return this.$parent.max;},min:function min(){return this.$parent.min;},step:function step(){return this.$parent.step;},showTooltip:function showTooltip(){return this.$parent.showTooltip;},precision:function precision(){return this.$parent.precision;},currentPosition:function currentPosition(){return(this.value-this.min)/(this.max-this.min)*100+'%';},enableFormat:function enableFormat(){return this.$parent.formatTooltip instanceof Function;},formatValue:function formatValue(){return this.enableFormat&&this.$parent.formatTooltip(this.value)||this.value;},wrapperStyle:function wrapperStyle(){return this.vertical?{bottom:this.currentPosition}:{left:this.currentPosition};}},watch:{dragging:function dragging(val){this.$parent.dragging=val;}},methods:{displayTooltip:function displayTooltip(){this.$refs.tooltip&&(this.$refs.tooltip.showPopper=true);},hideTooltip:function hideTooltip(){this.$refs.tooltip&&(this.$refs.tooltip.showPopper=false);},handleMouseEnter:function handleMouseEnter(){this.hovering=true;this.displayTooltip();},handleMouseLeave:function handleMouseLeave(){this.hovering=false;this.hideTooltip();},onButtonDown:function onButtonDown(event){if(this.disabled)return;event.preventDefault();this.onDragStart(event);window.addEventListener('mousemove',this.onDragging);window.addEventListener('touchmove',this.onDragging);window.addEventListener('mouseup',this.onDragEnd);window.addEventListener('touchend',this.onDragEnd);window.addEventListener('contextmenu',this.onDragEnd);},onLeftKeyDown:function onLeftKeyDown(){if(this.disabled)return;this.newPosition=parseFloat(this.currentPosition)-this.step/(this.max-this.min)*100;this.setPosition(this.newPosition);this.$parent.emitChange();},onRightKeyDown:function onRightKeyDown(){if(this.disabled)return;this.newPosition=parseFloat(this.currentPosition)+this.step/(this.max-this.min)*100;this.setPosition(this.newPosition);this.$parent.emitChange();},onDragStart:function onDragStart(event){this.dragging=true;this.isClick=true;if(event.type==='touchstart'){event.clientY=event.touches[0].clientY;event.clientX=event.touches[0].clientX;}if(this.vertical){this.startY=event.clientY;}else{this.startX=event.clientX;}this.startPosition=parseFloat(this.currentPosition);this.newPosition=this.startPosition;},onDragging:function onDragging(event){if(this.dragging){this.isClick=false;this.displayTooltip();this.$parent.resetSize();var diff=0;if(event.type==='touchmove'){event.clientY=event.touches[0].clientY;event.clientX=event.touches[0].clientX;}if(this.vertical){this.currentY=event.clientY;diff=(this.startY-this.currentY)/this.$parent.sliderSize*100;}else{this.currentX=event.clientX;diff=(this.currentX-this.startX)/this.$parent.sliderSize*100;}this.newPosition=this.startPosition+diff;this.setPosition(this.newPosition);}},onDragEnd:function onDragEnd(){var _this=this;if(this.dragging){/*\n         * 防止在 mouseup 后立即触发 click，导致滑块有几率产生一小段位移\n         * 不使用 preventDefault 是因为 mouseup 和 click 没有注册在同一个 DOM 上\n         */setTimeout(function(){_this.dragging=false;_this.hideTooltip();if(!_this.isClick){_this.setPosition(_this.newPosition);_this.$parent.emitChange();}},0);window.removeEventListener('mousemove',this.onDragging);window.removeEventListener('touchmove',this.onDragging);window.removeEventListener('mouseup',this.onDragEnd);window.removeEventListener('touchend',this.onDragEnd);window.removeEventListener('contextmenu',this.onDragEnd);}},setPosition:function setPosition(newPosition){var _this2=this;if(newPosition===null||isNaN(newPosition))return;if(newPosition<0){newPosition=0;}else if(newPosition>100){newPosition=100;}var lengthPerStep=100/((this.max-this.min)/this.step);var steps=Math.round(newPosition/lengthPerStep);var value=steps*lengthPerStep*(this.max-this.min)*0.01+this.min;value=parseFloat(value.toFixed(this.precision));this.$emit('input',value);this.$nextTick(function(){_this2.displayTooltip();_this2.$refs.tooltip&&_this2.$refs.tooltip.updatePopper();});if(!this.dragging&&this.value!==this.oldValue){this.oldValue=this.value;}}}};// CONCATENATED MODULE: ./packages/slider/src/button.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_slider_src_buttonvue_type_script_lang_js_=slider_src_buttonvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/slider/src/button.vue\n/* normalize component */var src_button_component=normalizeComponent(packages_slider_src_buttonvue_type_script_lang_js_,buttonvue_type_template_id_e72d2ad2_render,buttonvue_type_template_id_e72d2ad2_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var src_button_api; }src_button_component.options.__file=\"packages/slider/src/button.vue\";/* harmony default export */var slider_src_button=src_button_component.exports;// CONCATENATED MODULE: ./packages/slider/src/marker.js\n/* harmony default export */var marker={name:'ElMarker',props:{mark:{type:[String,Object]}},render:function render(){var h=arguments[0];var label=typeof this.mark==='string'?this.mark:this.mark.label;return h('div',{'class':'el-slider__marks-text',style:this.mark.style||{}},[label]);}};// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/slider/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var slider_src_mainvue_type_script_lang_js_={name:'ElSlider',mixins:[emitter_default.a],inject:{elForm:{default:''}},props:{min:{type:Number,default:0},max:{type:Number,default:100},step:{type:Number,default:1},value:{type:[Number,Array],default:0},showInput:{type:Boolean,default:false},showInputControls:{type:Boolean,default:true},inputSize:{type:String,default:'small'},showStops:{type:Boolean,default:false},showTooltip:{type:Boolean,default:true},formatTooltip:Function,disabled:{type:Boolean,default:false},range:{type:Boolean,default:false},vertical:{type:Boolean,default:false},height:{type:String},debounce:{type:Number,default:300},label:{type:String},tooltipClass:String,marks:Object},components:{ElInputNumber:input_number_default.a,SliderButton:slider_src_button,SliderMarker:marker},data:function data(){return{firstValue:null,secondValue:null,oldValue:null,dragging:false,sliderSize:1};},watch:{value:function value(val,oldVal){if(this.dragging||Array.isArray(val)&&Array.isArray(oldVal)&&val.every(function(item,index){return item===oldVal[index];})){return;}this.setValues();},dragging:function dragging(val){if(!val){this.setValues();}},firstValue:function firstValue(val){if(this.range){this.$emit('input',[this.minValue,this.maxValue]);}else{this.$emit('input',val);}},secondValue:function secondValue(){if(this.range){this.$emit('input',[this.minValue,this.maxValue]);}},min:function min(){this.setValues();},max:function max(){this.setValues();}},methods:{valueChanged:function valueChanged(){var _this=this;if(this.range){return![this.minValue,this.maxValue].every(function(item,index){return item===_this.oldValue[index];});}else{return this.value!==this.oldValue;}},setValues:function setValues(){if(this.min>this.max){console.error('[Element Error][Slider]min should not be greater than max.');return;}var val=this.value;if(this.range&&Array.isArray(val)){if(val[1]<this.min){this.$emit('input',[this.min,this.min]);}else if(val[0]>this.max){this.$emit('input',[this.max,this.max]);}else if(val[0]<this.min){this.$emit('input',[this.min,val[1]]);}else if(val[1]>this.max){this.$emit('input',[val[0],this.max]);}else{this.firstValue=val[0];this.secondValue=val[1];if(this.valueChanged()){this.dispatch('ElFormItem','el.form.change',[this.minValue,this.maxValue]);this.oldValue=val.slice();}}}else if(!this.range&&typeof val==='number'&&!isNaN(val)){if(val<this.min){this.$emit('input',this.min);}else if(val>this.max){this.$emit('input',this.max);}else{this.firstValue=val;if(this.valueChanged()){this.dispatch('ElFormItem','el.form.change',val);this.oldValue=val;}}}},setPosition:function setPosition(percent){var targetValue=this.min+percent*(this.max-this.min)/100;if(!this.range){this.$refs.button1.setPosition(percent);return;}var button=void 0;if(Math.abs(this.minValue-targetValue)<Math.abs(this.maxValue-targetValue)){button=this.firstValue<this.secondValue?'button1':'button2';}else{button=this.firstValue>this.secondValue?'button1':'button2';}this.$refs[button].setPosition(percent);},onSliderClick:function onSliderClick(event){if(this.sliderDisabled||this.dragging)return;this.resetSize();if(this.vertical){var sliderOffsetBottom=this.$refs.slider.getBoundingClientRect().bottom;this.setPosition((sliderOffsetBottom-event.clientY)/this.sliderSize*100);}else{var sliderOffsetLeft=this.$refs.slider.getBoundingClientRect().left;this.setPosition((event.clientX-sliderOffsetLeft)/this.sliderSize*100);}this.emitChange();},resetSize:function resetSize(){if(this.$refs.slider){this.sliderSize=this.$refs.slider['client'+(this.vertical?'Height':'Width')];}},emitChange:function emitChange(){var _this2=this;this.$nextTick(function(){_this2.$emit('change',_this2.range?[_this2.minValue,_this2.maxValue]:_this2.value);});},getStopStyle:function getStopStyle(position){return this.vertical?{'bottom':position+'%'}:{'left':position+'%'};}},computed:{stops:function stops(){var _this3=this;if(!this.showStops||this.min>this.max)return[];if(this.step===0){ false&&0;return[];}var stopCount=(this.max-this.min)/this.step;var stepWidth=100*this.step/(this.max-this.min);var result=[];for(var i=1;i<stopCount;i++){result.push(i*stepWidth);}if(this.range){return result.filter(function(step){return step<100*(_this3.minValue-_this3.min)/(_this3.max-_this3.min)||step>100*(_this3.maxValue-_this3.min)/(_this3.max-_this3.min);});}else{return result.filter(function(step){return step>100*(_this3.firstValue-_this3.min)/(_this3.max-_this3.min);});}},markList:function markList(){var _this4=this;if(!this.marks){return[];}var marksKeys=Object.keys(this.marks);return marksKeys.map(parseFloat).sort(function(a,b){return a-b;}).filter(function(point){return point<=_this4.max&&point>=_this4.min;}).map(function(point){return{point:point,position:(point-_this4.min)*100/(_this4.max-_this4.min),mark:_this4.marks[point]};});},minValue:function minValue(){return Math.min(this.firstValue,this.secondValue);},maxValue:function maxValue(){return Math.max(this.firstValue,this.secondValue);},barSize:function barSize(){return this.range?100*(this.maxValue-this.minValue)/(this.max-this.min)+'%':100*(this.firstValue-this.min)/(this.max-this.min)+'%';},barStart:function barStart(){return this.range?100*(this.minValue-this.min)/(this.max-this.min)+'%':'0%';},precision:function precision(){var precisions=[this.min,this.max,this.step].map(function(item){var decimal=(''+item).split('.')[1];return decimal?decimal.length:0;});return Math.max.apply(null,precisions);},runwayStyle:function runwayStyle(){return this.vertical?{height:this.height}:{};},barStyle:function barStyle(){return this.vertical?{height:this.barSize,bottom:this.barStart}:{width:this.barSize,left:this.barStart};},sliderDisabled:function sliderDisabled(){return this.disabled||(this.elForm||{}).disabled;}},mounted:function mounted(){var valuetext=void 0;if(this.range){if(Array.isArray(this.value)){this.firstValue=Math.max(this.min,this.value[0]);this.secondValue=Math.min(this.max,this.value[1]);}else{this.firstValue=this.min;this.secondValue=this.max;}this.oldValue=[this.firstValue,this.secondValue];valuetext=this.firstValue+'-'+this.secondValue;}else{if(typeof this.value!=='number'||isNaN(this.value)){this.firstValue=this.min;}else{this.firstValue=Math.min(this.max,Math.max(this.min,this.value));}this.oldValue=this.firstValue;valuetext=this.firstValue;}this.$el.setAttribute('aria-valuetext',valuetext);// label screen reader\nthis.$el.setAttribute('aria-label',this.label?this.label:'slider between '+this.min+' and '+this.max);this.resetSize();window.addEventListener('resize',this.resetSize);},beforeDestroy:function beforeDestroy(){window.removeEventListener('resize',this.resetSize);}};// CONCATENATED MODULE: ./packages/slider/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_slider_src_mainvue_type_script_lang_js_=slider_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/slider/src/main.vue\n/* normalize component */var slider_src_main_component=normalizeComponent(packages_slider_src_mainvue_type_script_lang_js_,mainvue_type_template_id_32708644_render,mainvue_type_template_id_32708644_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var slider_src_main_api; }slider_src_main_component.options.__file=\"packages/slider/src/main.vue\";/* harmony default export */var slider_src_main=slider_src_main_component.exports;// CONCATENATED MODULE: ./packages/slider/index.js\n/* istanbul ignore next */slider_src_main.install=function(Vue){Vue.component(slider_src_main.name,slider_src_main);};/* harmony default export */var slider=slider_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/loading/src/loading.vue?vue&type=template&id=eee0a7ac&\nvar loadingvue_type_template_id_eee0a7ac_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-loading-fade\"},on:{\"after-leave\":_vm.handleAfterLeave}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-loading-mask\",class:[_vm.customClass,{\"is-fullscreen\":_vm.fullscreen}],style:{backgroundColor:_vm.background||\"\"}},[_c(\"div\",{staticClass:\"el-loading-spinner\"},[!_vm.spinner?_c(\"svg\",{staticClass:\"circular\",attrs:{viewBox:\"25 25 50 50\"}},[_c(\"circle\",{staticClass:\"path\",attrs:{cx:\"50\",cy:\"50\",r:\"20\",fill:\"none\"}})]):_c(\"i\",{class:_vm.spinner}),_vm.text?_c(\"p\",{staticClass:\"el-loading-text\"},[_vm._v(_vm._s(_vm.text))]):_vm._e()])])]);};var loadingvue_type_template_id_eee0a7ac_staticRenderFns=[];loadingvue_type_template_id_eee0a7ac_render._withStripped=true;// CONCATENATED MODULE: ./packages/loading/src/loading.vue?vue&type=template&id=eee0a7ac&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/loading/src/loading.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var loadingvue_type_script_lang_js_={data:function data(){return{text:null,spinner:null,background:null,fullscreen:true,visible:false,customClass:''};},methods:{handleAfterLeave:function handleAfterLeave(){this.$emit('after-leave');},setText:function setText(text){this.text=text;}}};// CONCATENATED MODULE: ./packages/loading/src/loading.vue?vue&type=script&lang=js&\n/* harmony default export */var src_loadingvue_type_script_lang_js_=loadingvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/loading/src/loading.vue\n/* normalize component */var loading_component=normalizeComponent(src_loadingvue_type_script_lang_js_,loadingvue_type_template_id_eee0a7ac_render,loadingvue_type_template_id_eee0a7ac_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var loading_api; }loading_component.options.__file=\"packages/loading/src/loading.vue\";/* harmony default export */var loading=loading_component.exports;// EXTERNAL MODULE: external \"element-ui/lib/utils/after-leave\"\nvar after_leave_=__nested_webpack_require_8056__(33);var after_leave_default=/*#__PURE__*/__nested_webpack_require_8056__.n(after_leave_);// CONCATENATED MODULE: ./packages/loading/src/directive.js\nvar Mask=external_vue_default.a.extend(loading);var loadingDirective={};loadingDirective.install=function(Vue){if(Vue.prototype.$isServer)return;var toggleLoading=function toggleLoading(el,binding){if(binding.value){Vue.nextTick(function(){if(binding.modifiers.fullscreen){el.originalPosition=Object(dom_[\"getStyle\"])(document.body,'position');el.originalOverflow=Object(dom_[\"getStyle\"])(document.body,'overflow');el.maskStyle.zIndex=popup_[\"PopupManager\"].nextZIndex();Object(dom_[\"addClass\"])(el.mask,'is-fullscreen');insertDom(document.body,el,binding);}else{Object(dom_[\"removeClass\"])(el.mask,'is-fullscreen');if(binding.modifiers.body){el.originalPosition=Object(dom_[\"getStyle\"])(document.body,'position');['top','left'].forEach(function(property){var scroll=property==='top'?'scrollTop':'scrollLeft';el.maskStyle[property]=el.getBoundingClientRect()[property]+document.body[scroll]+document.documentElement[scroll]-parseInt(Object(dom_[\"getStyle\"])(document.body,'margin-'+property),10)+'px';});['height','width'].forEach(function(property){el.maskStyle[property]=el.getBoundingClientRect()[property]+'px';});insertDom(document.body,el,binding);}else{el.originalPosition=Object(dom_[\"getStyle\"])(el,'position');insertDom(el,el,binding);}}});}else{after_leave_default()(el.instance,function(_){if(!el.instance.hiding)return;el.domVisible=false;var target=binding.modifiers.fullscreen||binding.modifiers.body?document.body:el;Object(dom_[\"removeClass\"])(target,'el-loading-parent--relative');Object(dom_[\"removeClass\"])(target,'el-loading-parent--hidden');el.instance.hiding=false;},300,true);el.instance.visible=false;el.instance.hiding=true;}};var insertDom=function insertDom(parent,el,binding){if(!el.domVisible&&Object(dom_[\"getStyle\"])(el,'display')!=='none'&&Object(dom_[\"getStyle\"])(el,'visibility')!=='hidden'){Object.keys(el.maskStyle).forEach(function(property){el.mask.style[property]=el.maskStyle[property];});if(el.originalPosition!=='absolute'&&el.originalPosition!=='fixed'&&el.originalPosition!=='sticky'){Object(dom_[\"addClass\"])(parent,'el-loading-parent--relative');}if(binding.modifiers.fullscreen&&binding.modifiers.lock){Object(dom_[\"addClass\"])(parent,'el-loading-parent--hidden');}el.domVisible=true;parent.appendChild(el.mask);Vue.nextTick(function(){if(el.instance.hiding){el.instance.$emit('after-leave');}else{el.instance.visible=true;}});el.domInserted=true;}else if(el.domVisible&&el.instance.hiding===true){el.instance.visible=true;el.instance.hiding=false;}};Vue.directive('loading',{bind:function bind(el,binding,vnode){var textExr=el.getAttribute('element-loading-text');var spinnerExr=el.getAttribute('element-loading-spinner');var backgroundExr=el.getAttribute('element-loading-background');var customClassExr=el.getAttribute('element-loading-custom-class');var vm=vnode.context;var mask=new Mask({el:document.createElement('div'),data:{text:vm&&vm[textExr]||textExr,spinner:vm&&vm[spinnerExr]||spinnerExr,background:vm&&vm[backgroundExr]||backgroundExr,customClass:vm&&vm[customClassExr]||customClassExr,fullscreen:!!binding.modifiers.fullscreen}});el.instance=mask;el.mask=mask.$el;el.maskStyle={};binding.value&&toggleLoading(el,binding);},update:function update(el,binding){el.instance.setText(el.getAttribute('element-loading-text'));if(binding.oldValue!==binding.value){toggleLoading(el,binding);}},unbind:function unbind(el,binding){if(el.domInserted){el.mask&&el.mask.parentNode&&el.mask.parentNode.removeChild(el.mask);toggleLoading(el,{value:false,modifiers:binding.modifiers});}el.instance&&el.instance.$destroy();}});};/* harmony default export */var src_directive=loadingDirective;// CONCATENATED MODULE: ./packages/loading/src/index.js\nvar LoadingConstructor=external_vue_default.a.extend(loading);var src_defaults={text:null,fullscreen:true,body:false,lock:false,customClass:''};var fullscreenLoading=void 0;LoadingConstructor.prototype.originalPosition='';LoadingConstructor.prototype.originalOverflow='';LoadingConstructor.prototype.close=function(){var _this=this;if(this.fullscreen){fullscreenLoading=undefined;}after_leave_default()(this,function(_){var target=_this.fullscreen||_this.body?document.body:_this.target;Object(dom_[\"removeClass\"])(target,'el-loading-parent--relative');Object(dom_[\"removeClass\"])(target,'el-loading-parent--hidden');if(_this.$el&&_this.$el.parentNode){_this.$el.parentNode.removeChild(_this.$el);}_this.$destroy();},300);this.visible=false;};var src_addStyle=function addStyle(options,parent,instance){var maskStyle={};if(options.fullscreen){instance.originalPosition=Object(dom_[\"getStyle\"])(document.body,'position');instance.originalOverflow=Object(dom_[\"getStyle\"])(document.body,'overflow');maskStyle.zIndex=popup_[\"PopupManager\"].nextZIndex();}else if(options.body){instance.originalPosition=Object(dom_[\"getStyle\"])(document.body,'position');['top','left'].forEach(function(property){var scroll=property==='top'?'scrollTop':'scrollLeft';maskStyle[property]=options.target.getBoundingClientRect()[property]+document.body[scroll]+document.documentElement[scroll]+'px';});['height','width'].forEach(function(property){maskStyle[property]=options.target.getBoundingClientRect()[property]+'px';});}else{instance.originalPosition=Object(dom_[\"getStyle\"])(parent,'position');}Object.keys(maskStyle).forEach(function(property){instance.$el.style[property]=maskStyle[property];});};var src_Loading=function Loading(){var options=arguments.length>0&&arguments[0]!==undefined?arguments[0]:{};if(external_vue_default.a.prototype.$isServer)return;options=merge_default()({},src_defaults,options);if(typeof options.target==='string'){options.target=document.querySelector(options.target);}options.target=options.target||document.body;if(options.target!==document.body){options.fullscreen=false;}else{options.body=true;}if(options.fullscreen&&fullscreenLoading){return fullscreenLoading;}var parent=options.body?document.body:options.target;var instance=new LoadingConstructor({el:document.createElement('div'),data:options});src_addStyle(options,parent,instance);if(instance.originalPosition!=='absolute'&&instance.originalPosition!=='fixed'&&instance.originalPosition!=='sticky'){Object(dom_[\"addClass\"])(parent,'el-loading-parent--relative');}if(options.fullscreen&&options.lock){Object(dom_[\"addClass\"])(parent,'el-loading-parent--hidden');}parent.appendChild(instance.$el);external_vue_default.a.nextTick(function(){instance.visible=true;});if(options.fullscreen){fullscreenLoading=instance;}return instance;};/* harmony default export */var src=src_Loading;// CONCATENATED MODULE: ./packages/loading/index.js\n/* harmony default export */var packages_loading={install:function install(Vue){Vue.use(src_directive);Vue.prototype.$loading=src;},directive:src_directive,service:src};// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/icon/src/icon.vue?vue&type=template&id=cb3fe7f4&\nvar iconvue_type_template_id_cb3fe7f4_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"i\",{class:\"el-icon-\"+_vm.name});};var iconvue_type_template_id_cb3fe7f4_staticRenderFns=[];iconvue_type_template_id_cb3fe7f4_render._withStripped=true;// CONCATENATED MODULE: ./packages/icon/src/icon.vue?vue&type=template&id=cb3fe7f4&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/icon/src/icon.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n/* harmony default export */var iconvue_type_script_lang_js_={name:'ElIcon',props:{name:String}};// CONCATENATED MODULE: ./packages/icon/src/icon.vue?vue&type=script&lang=js&\n/* harmony default export */var src_iconvue_type_script_lang_js_=iconvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/icon/src/icon.vue\n/* normalize component */var icon_component=normalizeComponent(src_iconvue_type_script_lang_js_,iconvue_type_template_id_cb3fe7f4_render,iconvue_type_template_id_cb3fe7f4_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var icon_api; }icon_component.options.__file=\"packages/icon/src/icon.vue\";/* harmony default export */var icon=icon_component.exports;// CONCATENATED MODULE: ./packages/icon/index.js\n/* istanbul ignore next */icon.install=function(Vue){Vue.component(icon.name,icon);};/* harmony default export */var packages_icon=icon;// CONCATENATED MODULE: ./packages/row/src/row.js\n/* harmony default export */var src_row={name:'ElRow',componentName:'ElRow',props:{tag:{type:String,default:'div'},gutter:Number,type:String,justify:{type:String,default:'start'},align:String},computed:{style:function style(){var ret={};if(this.gutter){ret.marginLeft='-'+this.gutter/2+'px';ret.marginRight=ret.marginLeft;}return ret;}},render:function render(h){return h(this.tag,{class:['el-row',this.justify!=='start'?'is-justify-'+this.justify:'',this.align?'is-align-'+this.align:'',{'el-row--flex':this.type==='flex'}],style:this.style},this.$slots.default);}};// CONCATENATED MODULE: ./packages/row/index.js\n/* istanbul ignore next */src_row.install=function(Vue){Vue.component(src_row.name,src_row);};/* harmony default export */var packages_row=src_row;// CONCATENATED MODULE: ./packages/col/src/col.js\nvar col_typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(obj){return typeof obj;}:function(obj){return obj&&typeof Symbol===\"function\"&&obj.constructor===Symbol&&obj!==Symbol.prototype?\"symbol\":typeof obj;};/* harmony default export */var col={name:'ElCol',props:{span:{type:Number,default:24},tag:{type:String,default:'div'},offset:Number,pull:Number,push:Number,xs:[Number,Object],sm:[Number,Object],md:[Number,Object],lg:[Number,Object],xl:[Number,Object]},computed:{gutter:function gutter(){var parent=this.$parent;while(parent&&parent.$options.componentName!=='ElRow'){parent=parent.$parent;}return parent?parent.gutter:0;}},render:function render(h){var _this=this;var classList=[];var style={};if(this.gutter){style.paddingLeft=this.gutter/2+'px';style.paddingRight=style.paddingLeft;}['span','offset','pull','push'].forEach(function(prop){if(_this[prop]||_this[prop]===0){classList.push(prop!=='span'?'el-col-'+prop+'-'+_this[prop]:'el-col-'+_this[prop]);}});['xs','sm','md','lg','xl'].forEach(function(size){if(typeof _this[size]==='number'){classList.push('el-col-'+size+'-'+_this[size]);}else if(col_typeof(_this[size])==='object'){var props=_this[size];Object.keys(props).forEach(function(prop){classList.push(prop!=='span'?'el-col-'+size+'-'+prop+'-'+props[prop]:'el-col-'+size+'-'+props[prop]);});}});return h(this.tag,{class:['el-col',classList],style:style},this.$slots.default);}};// CONCATENATED MODULE: ./packages/col/index.js\n/* istanbul ignore next */col.install=function(Vue){Vue.component(col.name,col);};/* harmony default export */var packages_col=col;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/upload/src/upload-list.vue?vue&type=template&id=173fedf5&\nvar upload_listvue_type_template_id_173fedf5_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition-group\",{class:[\"el-upload-list\",\"el-upload-list--\"+_vm.listType,{\"is-disabled\":_vm.disabled}],attrs:{tag:\"ul\",name:\"el-list\"}},_vm._l(_vm.files,function(file){return _c(\"li\",{key:file.uid,class:[\"el-upload-list__item\",\"is-\"+file.status,_vm.focusing?\"focusing\":\"\"],attrs:{tabindex:\"0\"},on:{keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"delete\",[8,46],$event.key,[\"Backspace\",\"Delete\",\"Del\"])){return null;}!_vm.disabled&&_vm.$emit(\"remove\",file);},focus:function($event){_vm.focusing=true;},blur:function($event){_vm.focusing=false;},click:function($event){_vm.focusing=false;}}},[_vm._t(\"default\",[file.status!==\"uploading\"&&[\"picture-card\",\"picture\"].indexOf(_vm.listType)>-1?_c(\"img\",{staticClass:\"el-upload-list__item-thumbnail\",attrs:{src:file.url,alt:\"\"}}):_vm._e(),_c(\"a\",{staticClass:\"el-upload-list__item-name\",on:{click:function($event){_vm.handleClick(file);}}},[_c(\"i\",{staticClass:\"el-icon-document\"}),_vm._v(_vm._s(file.name)+\"\\n      \")]),_c(\"label\",{staticClass:\"el-upload-list__item-status-label\"},[_c(\"i\",{class:{\"el-icon-upload-success\":true,\"el-icon-circle-check\":_vm.listType===\"text\",\"el-icon-check\":[\"picture-card\",\"picture\"].indexOf(_vm.listType)>-1}})]),!_vm.disabled?_c(\"i\",{staticClass:\"el-icon-close\",on:{click:function($event){_vm.$emit(\"remove\",file);}}}):_vm._e(),!_vm.disabled?_c(\"i\",{staticClass:\"el-icon-close-tip\"},[_vm._v(_vm._s(_vm.t(\"el.upload.deleteTip\")))]):_vm._e(),file.status===\"uploading\"?_c(\"el-progress\",{attrs:{type:_vm.listType===\"picture-card\"?\"circle\":\"line\",\"stroke-width\":_vm.listType===\"picture-card\"?6:2,percentage:_vm.parsePercentage(file.percentage)}}):_vm._e(),_vm.listType===\"picture-card\"?_c(\"span\",{staticClass:\"el-upload-list__item-actions\"},[_vm.handlePreview&&_vm.listType===\"picture-card\"?_c(\"span\",{staticClass:\"el-upload-list__item-preview\",on:{click:function($event){_vm.handlePreview(file);}}},[_c(\"i\",{staticClass:\"el-icon-zoom-in\"})]):_vm._e(),!_vm.disabled?_c(\"span\",{staticClass:\"el-upload-list__item-delete\",on:{click:function($event){_vm.$emit(\"remove\",file);}}},[_c(\"i\",{staticClass:\"el-icon-delete\"})]):_vm._e()]):_vm._e()],{file:file})],2);}),0);};var upload_listvue_type_template_id_173fedf5_staticRenderFns=[];upload_listvue_type_template_id_173fedf5_render._withStripped=true;// CONCATENATED MODULE: ./packages/upload/src/upload-list.vue?vue&type=template&id=173fedf5&\n// EXTERNAL MODULE: external \"element-ui/lib/progress\"\nvar progress_=__nested_webpack_require_8056__(34);var progress_default=/*#__PURE__*/__nested_webpack_require_8056__.n(progress_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/upload/src/upload-list.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var upload_listvue_type_script_lang_js_={name:'ElUploadList',mixins:[locale_default.a],data:function data(){return{focusing:false};},components:{ElProgress:progress_default.a},props:{files:{type:Array,default:function _default(){return[];}},disabled:{type:Boolean,default:false},handlePreview:Function,listType:String},methods:{parsePercentage:function parsePercentage(val){return parseInt(val,10);},handleClick:function handleClick(file){this.handlePreview&&this.handlePreview(file);}}};// CONCATENATED MODULE: ./packages/upload/src/upload-list.vue?vue&type=script&lang=js&\n/* harmony default export */var src_upload_listvue_type_script_lang_js_=upload_listvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/upload/src/upload-list.vue\n/* normalize component */var upload_list_component=normalizeComponent(src_upload_listvue_type_script_lang_js_,upload_listvue_type_template_id_173fedf5_render,upload_listvue_type_template_id_173fedf5_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var upload_list_api; }upload_list_component.options.__file=\"packages/upload/src/upload-list.vue\";/* harmony default export */var upload_list=upload_list_component.exports;// EXTERNAL MODULE: external \"babel-helper-vue-jsx-merge-props\"\nvar external_babel_helper_vue_jsx_merge_props_=__nested_webpack_require_8056__(24);var external_babel_helper_vue_jsx_merge_props_default=/*#__PURE__*/__nested_webpack_require_8056__.n(external_babel_helper_vue_jsx_merge_props_);// CONCATENATED MODULE: ./packages/upload/src/ajax.js\nfunction getError(action,option,xhr){var msg=void 0;if(xhr.response){msg=''+(xhr.response.error||xhr.response);}else if(xhr.responseText){msg=''+xhr.responseText;}else{msg='fail to post '+action+' '+xhr.status;}var err=new Error(msg);err.status=xhr.status;err.method='post';err.url=action;return err;}function getBody(xhr){var text=xhr.responseText||xhr.response;if(!text){return text;}try{return JSON.parse(text);}catch(e){return text;}}function upload(option){if(typeof XMLHttpRequest==='undefined'){return;}var xhr=new XMLHttpRequest();var action=option.action;if(xhr.upload){xhr.upload.onprogress=function progress(e){if(e.total>0){e.percent=e.loaded/e.total*100;}option.onProgress(e);};}var formData=new FormData();if(option.data){Object.keys(option.data).forEach(function(key){formData.append(key,option.data[key]);});}formData.append(option.filename,option.file,option.file.name);xhr.onerror=function error(e){option.onError(e);};xhr.onload=function onload(){if(xhr.status<200||xhr.status>=300){return option.onError(getError(action,option,xhr));}option.onSuccess(getBody(xhr));};xhr.open('post',action,true);if(option.withCredentials&&'withCredentials'in xhr){xhr.withCredentials=true;}var headers=option.headers||{};for(var item in headers){if(headers.hasOwnProperty(item)&&headers[item]!==null){xhr.setRequestHeader(item,headers[item]);}}xhr.send(formData);return xhr;}// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/upload/src/upload-dragger.vue?vue&type=template&id=7ebbf219&\nvar upload_draggervue_type_template_id_7ebbf219_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-upload-dragger\",class:{\"is-dragover\":_vm.dragover},on:{drop:function($event){$event.preventDefault();return _vm.onDrop($event);},dragover:function($event){$event.preventDefault();return _vm.onDragover($event);},dragleave:function($event){$event.preventDefault();_vm.dragover=false;}}},[_vm._t(\"default\")],2);};var upload_draggervue_type_template_id_7ebbf219_staticRenderFns=[];upload_draggervue_type_template_id_7ebbf219_render._withStripped=true;// CONCATENATED MODULE: ./packages/upload/src/upload-dragger.vue?vue&type=template&id=7ebbf219&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/upload/src/upload-dragger.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var upload_draggervue_type_script_lang_js_={name:'ElUploadDrag',props:{disabled:Boolean},inject:{uploader:{default:''}},data:function data(){return{dragover:false};},methods:{onDragover:function onDragover(){if(!this.disabled){this.dragover=true;}},onDrop:function onDrop(e){if(this.disabled||!this.uploader)return;var accept=this.uploader.accept;this.dragover=false;if(!accept){this.$emit('file',e.dataTransfer.files);return;}this.$emit('file',[].slice.call(e.dataTransfer.files).filter(function(file){var type=file.type,name=file.name;var extension=name.indexOf('.')>-1?'.'+name.split('.').pop():'';var baseType=type.replace(/\\/.*$/,'');return accept.split(',').map(function(type){return type.trim();}).filter(function(type){return type;}).some(function(acceptedType){if(/\\..+$/.test(acceptedType)){return extension===acceptedType;}if(/\\/\\*$/.test(acceptedType)){return baseType===acceptedType.replace(/\\/\\*$/,'');}if(/^[^\\/]+\\/[^\\/]+$/.test(acceptedType)){return type===acceptedType;}return false;});}));}}};// CONCATENATED MODULE: ./packages/upload/src/upload-dragger.vue?vue&type=script&lang=js&\n/* harmony default export */var src_upload_draggervue_type_script_lang_js_=upload_draggervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/upload/src/upload-dragger.vue\n/* normalize component */var upload_dragger_component=normalizeComponent(src_upload_draggervue_type_script_lang_js_,upload_draggervue_type_template_id_7ebbf219_render,upload_draggervue_type_template_id_7ebbf219_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var upload_dragger_api; }upload_dragger_component.options.__file=\"packages/upload/src/upload-dragger.vue\";/* harmony default export */var upload_dragger=upload_dragger_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/upload/src/upload.vue?vue&type=script&lang=js&\n/* harmony default export */var uploadvue_type_script_lang_js_={inject:['uploader'],components:{UploadDragger:upload_dragger},props:{type:String,action:{type:String,required:true},name:{type:String,default:'file'},data:Object,headers:Object,withCredentials:Boolean,multiple:Boolean,accept:String,onStart:Function,onProgress:Function,onSuccess:Function,onError:Function,beforeUpload:Function,drag:Boolean,onPreview:{type:Function,default:function _default(){}},onRemove:{type:Function,default:function _default(){}},fileList:Array,autoUpload:Boolean,listType:String,httpRequest:{type:Function,default:upload},disabled:Boolean,limit:Number,onExceed:Function},data:function data(){return{mouseover:false,reqs:{}};},methods:{isImage:function isImage(str){return str.indexOf('image')!==-1;},handleChange:function handleChange(ev){var files=ev.target.files;if(!files)return;this.uploadFiles(files);},uploadFiles:function uploadFiles(files){var _this=this;if(this.limit&&this.fileList.length+files.length>this.limit){this.onExceed&&this.onExceed(files,this.fileList);return;}var postFiles=Array.prototype.slice.call(files);if(!this.multiple){postFiles=postFiles.slice(0,1);}if(postFiles.length===0){return;}postFiles.forEach(function(rawFile){_this.onStart(rawFile);if(_this.autoUpload)_this.upload(rawFile);});},upload:function upload(rawFile){var _this2=this;this.$refs.input.value=null;if(!this.beforeUpload){return this.post(rawFile);}var before=this.beforeUpload(rawFile);if(before&&before.then){before.then(function(processedFile){var fileType=Object.prototype.toString.call(processedFile);if(fileType==='[object File]'||fileType==='[object Blob]'){if(fileType==='[object Blob]'){processedFile=new File([processedFile],rawFile.name,{type:rawFile.type});}for(var p in rawFile){if(rawFile.hasOwnProperty(p)){processedFile[p]=rawFile[p];}}_this2.post(processedFile);}else{_this2.post(rawFile);}},function(){_this2.onRemove(null,rawFile);});}else if(before!==false){this.post(rawFile);}else{this.onRemove(null,rawFile);}},abort:function abort(file){var reqs=this.reqs;if(file){var uid=file;if(file.uid)uid=file.uid;if(reqs[uid]){reqs[uid].abort();}}else{Object.keys(reqs).forEach(function(uid){if(reqs[uid])reqs[uid].abort();delete reqs[uid];});}},post:function post(rawFile){var _this3=this;var uid=rawFile.uid;var options={headers:this.headers,withCredentials:this.withCredentials,file:rawFile,data:this.data,filename:this.name,action:this.action,onProgress:function onProgress(e){_this3.onProgress(e,rawFile);},onSuccess:function onSuccess(res){_this3.onSuccess(res,rawFile);delete _this3.reqs[uid];},onError:function onError(err){_this3.onError(err,rawFile);delete _this3.reqs[uid];}};var req=this.httpRequest(options);this.reqs[uid]=req;if(req&&req.then){req.then(options.onSuccess,options.onError);}},handleClick:function handleClick(){if(!this.disabled){this.$refs.input.value=null;this.$refs.input.click();}},handleKeydown:function handleKeydown(e){if(e.target!==e.currentTarget)return;if(e.keyCode===13||e.keyCode===32){this.handleClick();}}},render:function render(h){var handleClick=this.handleClick,drag=this.drag,name=this.name,handleChange=this.handleChange,multiple=this.multiple,accept=this.accept,listType=this.listType,uploadFiles=this.uploadFiles,disabled=this.disabled,handleKeydown=this.handleKeydown;var data={class:{'el-upload':true},on:{click:handleClick,keydown:handleKeydown}};data.class['el-upload--'+listType]=true;return h('div',external_babel_helper_vue_jsx_merge_props_default()([data,{attrs:{tabindex:'0'}}]),[drag?h('upload-dragger',{attrs:{disabled:disabled},on:{'file':uploadFiles}},[this.$slots.default]):this.$slots.default,h('input',{'class':'el-upload__input',attrs:{type:'file',name:name,multiple:multiple,accept:accept},ref:'input',on:{'change':handleChange}})]);}};// CONCATENATED MODULE: ./packages/upload/src/upload.vue?vue&type=script&lang=js&\n/* harmony default export */var src_uploadvue_type_script_lang_js_=uploadvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/upload/src/upload.vue\nvar upload_render,upload_staticRenderFns;/* normalize component */var upload_component=normalizeComponent(src_uploadvue_type_script_lang_js_,upload_render,upload_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var upload_api; }upload_component.options.__file=\"packages/upload/src/upload.vue\";/* harmony default export */var src_upload=upload_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/upload/src/index.vue?vue&type=script&lang=js&\nfunction srcvue_type_script_lang_js_noop(){}/* harmony default export */var srcvue_type_script_lang_js_={name:'ElUpload',mixins:[migrating_default.a],components:{ElProgress:progress_default.a,UploadList:upload_list,Upload:src_upload},provide:function provide(){return{uploader:this};},inject:{elForm:{default:''}},props:{action:{type:String,required:true},headers:{type:Object,default:function _default(){return{};}},data:Object,multiple:Boolean,name:{type:String,default:'file'},drag:Boolean,dragger:Boolean,withCredentials:Boolean,showFileList:{type:Boolean,default:true},accept:String,type:{type:String,default:'select'},beforeUpload:Function,beforeRemove:Function,onRemove:{type:Function,default:srcvue_type_script_lang_js_noop},onChange:{type:Function,default:srcvue_type_script_lang_js_noop},onPreview:{type:Function},onSuccess:{type:Function,default:srcvue_type_script_lang_js_noop},onProgress:{type:Function,default:srcvue_type_script_lang_js_noop},onError:{type:Function,default:srcvue_type_script_lang_js_noop},fileList:{type:Array,default:function _default(){return[];}},autoUpload:{type:Boolean,default:true},listType:{type:String,default:'text'// text,picture,picture-card\n},httpRequest:Function,disabled:Boolean,limit:Number,onExceed:{type:Function,default:srcvue_type_script_lang_js_noop}},data:function data(){return{uploadFiles:[],dragOver:false,draging:false,tempIndex:1};},computed:{uploadDisabled:function uploadDisabled(){return this.disabled||(this.elForm||{}).disabled;}},watch:{listType:function listType(type){if(type==='picture-card'||type==='picture'){this.uploadFiles=this.uploadFiles.map(function(file){if(!file.url&&file.raw){try{file.url=URL.createObjectURL(file.raw);}catch(err){console.error('[Element Error][Upload]',err);}}return file;});}},fileList:{immediate:true,handler:function handler(fileList){var _this=this;this.uploadFiles=fileList.map(function(item){item.uid=item.uid||Date.now()+_this.tempIndex++;item.status=item.status||'success';return item;});}}},methods:{handleStart:function handleStart(rawFile){rawFile.uid=Date.now()+this.tempIndex++;var file={status:'ready',name:rawFile.name,size:rawFile.size,percentage:0,uid:rawFile.uid,raw:rawFile};if(this.listType==='picture-card'||this.listType==='picture'){try{file.url=URL.createObjectURL(rawFile);}catch(err){console.error('[Element Error][Upload]',err);return;}}this.uploadFiles.push(file);this.onChange(file,this.uploadFiles);},handleProgress:function handleProgress(ev,rawFile){var file=this.getFile(rawFile);this.onProgress(ev,file,this.uploadFiles);file.status='uploading';file.percentage=ev.percent||0;},handleSuccess:function handleSuccess(res,rawFile){var file=this.getFile(rawFile);if(file){file.status='success';file.response=res;this.onSuccess(res,file,this.uploadFiles);this.onChange(file,this.uploadFiles);}},handleError:function handleError(err,rawFile){var file=this.getFile(rawFile);var fileList=this.uploadFiles;file.status='fail';fileList.splice(fileList.indexOf(file),1);this.onError(err,file,this.uploadFiles);this.onChange(file,this.uploadFiles);},handleRemove:function handleRemove(file,raw){var _this2=this;if(raw){file=this.getFile(raw);}var doRemove=function doRemove(){_this2.abort(file);var fileList=_this2.uploadFiles;fileList.splice(fileList.indexOf(file),1);_this2.onRemove(file,fileList);};if(!this.beforeRemove){doRemove();}else if(typeof this.beforeRemove==='function'){var before=this.beforeRemove(file,this.uploadFiles);if(before&&before.then){before.then(function(){doRemove();},srcvue_type_script_lang_js_noop);}else if(before!==false){doRemove();}}},getFile:function getFile(rawFile){var fileList=this.uploadFiles;var target=void 0;fileList.every(function(item){target=rawFile.uid===item.uid?item:null;return!target;});return target;},abort:function abort(file){this.$refs['upload-inner'].abort(file);},clearFiles:function clearFiles(){this.uploadFiles=[];},submit:function submit(){var _this3=this;this.uploadFiles.filter(function(file){return file.status==='ready';}).forEach(function(file){_this3.$refs['upload-inner'].upload(file.raw);});},getMigratingConfig:function getMigratingConfig(){return{props:{'default-file-list':'default-file-list is renamed to file-list.','show-upload-list':'show-upload-list is renamed to show-file-list.','thumbnail-mode':'thumbnail-mode has been deprecated, you can implement the same effect according to this case: http://element.eleme.io/#/zh-CN/component/upload#yong-hu-tou-xiang-shang-chuan'}};}},beforeDestroy:function beforeDestroy(){this.uploadFiles.forEach(function(file){if(file.url&&file.url.indexOf('blob:')===0){URL.revokeObjectURL(file.url);}});},render:function render(h){var _this4=this;var uploadList=void 0;if(this.showFileList){uploadList=h(upload_list,{attrs:{disabled:this.uploadDisabled,listType:this.listType,files:this.uploadFiles,handlePreview:this.onPreview},on:{'remove':this.handleRemove}},[function(props){if(_this4.$scopedSlots.file){return _this4.$scopedSlots.file({file:props.file});}}]);}var uploadData={props:{type:this.type,drag:this.drag,action:this.action,multiple:this.multiple,'before-upload':this.beforeUpload,'with-credentials':this.withCredentials,headers:this.headers,name:this.name,data:this.data,accept:this.accept,fileList:this.uploadFiles,autoUpload:this.autoUpload,listType:this.listType,disabled:this.uploadDisabled,limit:this.limit,'on-exceed':this.onExceed,'on-start':this.handleStart,'on-progress':this.handleProgress,'on-success':this.handleSuccess,'on-error':this.handleError,'on-preview':this.onPreview,'on-remove':this.handleRemove,'http-request':this.httpRequest},ref:'upload-inner'};var trigger=this.$slots.trigger||this.$slots.default;var uploadComponent=h('upload',uploadData,[trigger]);return h('div',[this.listType==='picture-card'?uploadList:'',this.$slots.trigger?[uploadComponent,this.$slots.default]:uploadComponent,this.$slots.tip,this.listType!=='picture-card'?uploadList:'']);}};// CONCATENATED MODULE: ./packages/upload/src/index.vue?vue&type=script&lang=js&\n/* harmony default export */var upload_srcvue_type_script_lang_js_=srcvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/upload/src/index.vue\nvar src_render,src_staticRenderFns;/* normalize component */var upload_src_component=normalizeComponent(upload_srcvue_type_script_lang_js_,src_render,src_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var src_api; }upload_src_component.options.__file=\"packages/upload/src/index.vue\";/* harmony default export */var upload_src=upload_src_component.exports;// CONCATENATED MODULE: ./packages/upload/index.js\n/* istanbul ignore next */upload_src.install=function(Vue){Vue.component(upload_src.name,upload_src);};/* harmony default export */var packages_upload=upload_src;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/progress/src/progress.vue?vue&type=template&id=229ee406&\nvar progressvue_type_template_id_229ee406_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-progress\",class:[\"el-progress--\"+_vm.type,_vm.status?\"is-\"+_vm.status:\"\",{\"el-progress--without-text\":!_vm.showText,\"el-progress--text-inside\":_vm.textInside}],attrs:{role:\"progressbar\",\"aria-valuenow\":_vm.percentage,\"aria-valuemin\":\"0\",\"aria-valuemax\":\"100\"}},[_vm.type===\"line\"?_c(\"div\",{staticClass:\"el-progress-bar\"},[_c(\"div\",{staticClass:\"el-progress-bar__outer\",style:{height:_vm.strokeWidth+\"px\",backgroundColor:_vm.defineBackColor}},[_c(\"div\",{staticClass:\"el-progress-bar__inner\",style:_vm.barStyle},[_vm.showText&&_vm.textInside?_c(\"div\",{staticClass:\"el-progress-bar__innerText\",style:{color:_vm.textColor}},[_vm._v(_vm._s(_vm.content))]):_vm._e()])])]):_c(\"div\",{staticClass:\"el-progress-circle\",style:{height:_vm.width+\"px\",width:_vm.width+\"px\"}},[_c(\"svg\",{attrs:{viewBox:\"0 0 100 100\"}},[_c(\"path\",{staticClass:\"el-progress-circle__track\",style:_vm.trailPathStyle,attrs:{d:_vm.trackPath,stroke:_vm.defineBackColor,\"stroke-width\":_vm.relativeStrokeWidth,fill:\"none\"}}),_c(\"path\",{staticClass:\"el-progress-circle__path\",style:_vm.circlePathStyle,attrs:{d:_vm.trackPath,stroke:_vm.stroke,fill:\"none\",\"stroke-linecap\":_vm.strokeLinecap,\"stroke-width\":_vm.percentage?_vm.relativeStrokeWidth:0}})])]),_vm.showText&&!_vm.textInside?_c(\"div\",{staticClass:\"el-progress__text\",style:{fontSize:_vm.progressTextSize+\"px\",color:_vm.textColor}},[!_vm.status?[_vm._v(_vm._s(_vm.content))]:_c(\"i\",{class:_vm.iconClass})],2):_vm._e()]);};var progressvue_type_template_id_229ee406_staticRenderFns=[];progressvue_type_template_id_229ee406_render._withStripped=true;// CONCATENATED MODULE: ./packages/progress/src/progress.vue?vue&type=template&id=229ee406&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/progress/src/progress.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var progressvue_type_script_lang_js_={name:'ElProgress',props:{type:{type:String,default:'line',validator:function validator(val){return['line','circle','dashboard'].indexOf(val)>-1;}},percentage:{type:Number,default:0,required:true,validator:function validator(val){return val>=0&&val<=100;}},status:{type:String,validator:function validator(val){return['success','exception','warning'].indexOf(val)>-1;}},strokeWidth:{type:Number,default:6},strokeLinecap:{type:String,default:'round'},textInside:{type:Boolean,default:false},width:{type:Number,default:126},showText:{type:Boolean,default:true},color:{type:[String,Array,Function],default:''},defineBackColor:{type:[String,Array,Function],default:'#ebeef5'},textColor:{type:[String,Array,Function],default:'#606266'},format:Function},computed:{barStyle:function barStyle(){var style={};style.width=this.percentage+'%';style.backgroundColor=this.getCurrentColor(this.percentage);return style;},relativeStrokeWidth:function relativeStrokeWidth(){return(this.strokeWidth/this.width*100).toFixed(1);},radius:function radius(){if(this.type==='circle'||this.type==='dashboard'){return parseInt(50-parseFloat(this.relativeStrokeWidth)/2,10);}else{return 0;}},trackPath:function trackPath(){var radius=this.radius;var isDashboard=this.type==='dashboard';return'\\n        M 50 50\\n        m 0 '+(isDashboard?'':'-')+radius+'\\n        a '+radius+' '+radius+' 0 1 1 0 '+(isDashboard?'-':'')+radius*2+'\\n        a '+radius+' '+radius+' 0 1 1 0 '+(isDashboard?'':'-')+radius*2+'\\n        ';},perimeter:function perimeter(){return 2*Math.PI*this.radius;},rate:function rate(){return this.type==='dashboard'?0.75:1;},strokeDashoffset:function strokeDashoffset(){var offset=-1*this.perimeter*(1-this.rate)/2;return offset+'px';},trailPathStyle:function trailPathStyle(){return{strokeDasharray:this.perimeter*this.rate+'px, '+this.perimeter+'px',strokeDashoffset:this.strokeDashoffset};},circlePathStyle:function circlePathStyle(){return{strokeDasharray:this.perimeter*this.rate*(this.percentage/100)+'px, '+this.perimeter+'px',strokeDashoffset:this.strokeDashoffset,transition:'stroke-dasharray 0.6s ease 0s, stroke 0.6s ease'};},stroke:function stroke(){var ret=void 0;if(this.color){ret=this.getCurrentColor(this.percentage);}else{switch(this.status){case'success':ret='#13ce66';break;case'exception':ret='#ff4949';break;case'warning':ret='#e6a23c';break;default:ret='#20a0ff';}}return ret;},iconClass:function iconClass(){if(this.status==='warning'){return'el-icon-warning';}if(this.type==='line'){return this.status==='success'?'el-icon-circle-check':'el-icon-circle-close';}else{return this.status==='success'?'el-icon-check':'el-icon-close';}},progressTextSize:function progressTextSize(){return this.type==='line'?12+this.strokeWidth*0.4:this.width*0.111111+2;},content:function content(){if(typeof this.format==='function'){return this.format(this.percentage)||'';}else{return this.percentage+'%';}}},methods:{getCurrentColor:function getCurrentColor(percentage){if(typeof this.color==='function'){return this.color(percentage);}else if(typeof this.color==='string'){return this.color;}else{return this.getLevelColor(percentage);}},getLevelColor:function getLevelColor(percentage){var colorArray=this.getColorArray().sort(function(a,b){return a.percentage-b.percentage;});for(var i=0;i<colorArray.length;i++){if(colorArray[i].percentage>percentage){return colorArray[i].color;}}return colorArray[colorArray.length-1].color;},getColorArray:function getColorArray(){var color=this.color;var span=100/color.length;return color.map(function(seriesColor,index){if(typeof seriesColor==='string'){return{color:seriesColor,percentage:(index+1)*span};}return seriesColor;});}}};// CONCATENATED MODULE: ./packages/progress/src/progress.vue?vue&type=script&lang=js&\n/* harmony default export */var src_progressvue_type_script_lang_js_=progressvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/progress/src/progress.vue\n/* normalize component */var progress_component=normalizeComponent(src_progressvue_type_script_lang_js_,progressvue_type_template_id_229ee406_render,progressvue_type_template_id_229ee406_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var progress_api; }progress_component.options.__file=\"packages/progress/src/progress.vue\";/* harmony default export */var progress=progress_component.exports;// CONCATENATED MODULE: ./packages/progress/index.js\n/* istanbul ignore next */progress.install=function(Vue){Vue.component(progress.name,progress);};/* harmony default export */var packages_progress=progress;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/spinner/src/spinner.vue?vue&type=template&id=697b8538&\nvar spinnervue_type_template_id_697b8538_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"span\",{staticClass:\"el-spinner\"},[_c(\"svg\",{staticClass:\"el-spinner-inner\",style:{width:_vm.radius/2+\"px\",height:_vm.radius/2+\"px\"},attrs:{viewBox:\"0 0 50 50\"}},[_c(\"circle\",{staticClass:\"path\",attrs:{cx:\"25\",cy:\"25\",r:\"20\",fill:\"none\",stroke:_vm.strokeColor,\"stroke-width\":_vm.strokeWidth}})])]);};var spinnervue_type_template_id_697b8538_staticRenderFns=[];spinnervue_type_template_id_697b8538_render._withStripped=true;// CONCATENATED MODULE: ./packages/spinner/src/spinner.vue?vue&type=template&id=697b8538&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/spinner/src/spinner.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var spinnervue_type_script_lang_js_={name:'ElSpinner',props:{type:String,radius:{type:Number,default:100},strokeWidth:{type:Number,default:5},strokeColor:{type:String,default:'#efefef'}}};// CONCATENATED MODULE: ./packages/spinner/src/spinner.vue?vue&type=script&lang=js&\n/* harmony default export */var src_spinnervue_type_script_lang_js_=spinnervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/spinner/src/spinner.vue\n/* normalize component */var spinner_component=normalizeComponent(src_spinnervue_type_script_lang_js_,spinnervue_type_template_id_697b8538_render,spinnervue_type_template_id_697b8538_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var spinner_api; }spinner_component.options.__file=\"packages/spinner/src/spinner.vue\";/* harmony default export */var spinner=spinner_component.exports;// CONCATENATED MODULE: ./packages/spinner/index.js\n/* istanbul ignore next */spinner.install=function(Vue){Vue.component(spinner.name,spinner);};/* harmony default export */var packages_spinner=spinner;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/message/src/main.vue?vue&type=template&id=455b9f60&\nvar mainvue_type_template_id_455b9f60_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-message-fade\"},on:{\"after-leave\":_vm.handleAfterLeave}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],class:[\"el-message\",_vm.type&&!_vm.iconClass?\"el-message--\"+_vm.type:\"\",_vm.center?\"is-center\":\"\",_vm.showClose?\"is-closable\":\"\",_vm.customClass],style:_vm.positionStyle,attrs:{role:\"alert\"},on:{mouseenter:_vm.clearTimer,mouseleave:_vm.startTimer}},[_vm.iconClass?_c(\"i\",{class:_vm.iconClass}):_c(\"i\",{class:_vm.typeClass}),_vm._t(\"default\",[!_vm.dangerouslyUseHTMLString?_c(\"p\",{staticClass:\"el-message__content\"},[_vm._v(_vm._s(_vm.message))]):_c(\"p\",{staticClass:\"el-message__content\",domProps:{innerHTML:_vm._s(_vm.message)}})]),_vm.showClose?_c(\"i\",{staticClass:\"el-message__closeBtn el-icon-close\",on:{click:_vm.close}}):_vm._e()],2)]);};var mainvue_type_template_id_455b9f60_staticRenderFns=[];mainvue_type_template_id_455b9f60_render._withStripped=true;// CONCATENATED MODULE: ./packages/message/src/main.vue?vue&type=template&id=455b9f60&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/message/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar src_mainvue_type_script_lang_js_typeMap={success:'success',info:'info',warning:'warning',error:'error'};/* harmony default export */var message_src_mainvue_type_script_lang_js_={data:function data(){return{visible:false,message:'',duration:3000,type:'info',iconClass:'',customClass:'',onClose:null,showClose:false,closed:false,verticalOffset:20,timer:null,dangerouslyUseHTMLString:false,center:false};},computed:{typeClass:function typeClass(){return this.type&&!this.iconClass?'el-message__icon el-icon-'+src_mainvue_type_script_lang_js_typeMap[this.type]:'';},positionStyle:function positionStyle(){return{'top':this.verticalOffset+'px'};}},watch:{closed:function closed(newVal){if(newVal){this.visible=false;}}},methods:{handleAfterLeave:function handleAfterLeave(){this.$destroy(true);this.$el.parentNode.removeChild(this.$el);},close:function close(){this.closed=true;if(typeof this.onClose==='function'){this.onClose(this);}},clearTimer:function clearTimer(){clearTimeout(this.timer);},startTimer:function startTimer(){var _this=this;if(this.duration>0){this.timer=setTimeout(function(){if(!_this.closed){_this.close();}},this.duration);}},keydown:function keydown(e){if(e.keyCode===27){// esc关闭消息\nif(!this.closed){this.close();}}}},mounted:function mounted(){this.startTimer();document.addEventListener('keydown',this.keydown);},beforeDestroy:function beforeDestroy(){document.removeEventListener('keydown',this.keydown);}};// CONCATENATED MODULE: ./packages/message/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_message_src_mainvue_type_script_lang_js_=message_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/message/src/main.vue\n/* normalize component */var message_src_main_component=normalizeComponent(packages_message_src_mainvue_type_script_lang_js_,mainvue_type_template_id_455b9f60_render,mainvue_type_template_id_455b9f60_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var message_src_main_api; }message_src_main_component.options.__file=\"packages/message/src/main.vue\";/* harmony default export */var message_src_main=message_src_main_component.exports;// EXTERNAL MODULE: external \"element-ui/lib/utils/types\"\nvar types_=__nested_webpack_require_8056__(16);// CONCATENATED MODULE: ./packages/message/src/main.js\nvar main_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};var MessageConstructor=external_vue_default.a.extend(message_src_main);var message_src_main_instance=void 0;var main_instances=[];var main_seed=1;var main_Message=function Message(options){if(external_vue_default.a.prototype.$isServer)return;options=options||{};if(typeof options==='string'){options={message:options};}var userOnClose=options.onClose;var id='message_'+main_seed++;options.onClose=function(){Message.close(id,userOnClose);};message_src_main_instance=new MessageConstructor({data:options});message_src_main_instance.id=id;if(Object(vdom_[\"isVNode\"])(message_src_main_instance.message)){message_src_main_instance.$slots.default=[message_src_main_instance.message];message_src_main_instance.message=null;}message_src_main_instance.$mount();document.body.appendChild(message_src_main_instance.$el);var verticalOffset=options.offset||20;main_instances.forEach(function(item){verticalOffset+=item.$el.offsetHeight+16;});message_src_main_instance.verticalOffset=verticalOffset;message_src_main_instance.visible=true;message_src_main_instance.$el.style.zIndex=popup_[\"PopupManager\"].nextZIndex();main_instances.push(message_src_main_instance);return message_src_main_instance;};['success','warning','info','error'].forEach(function(type){main_Message[type]=function(options){if(Object(types_[\"isObject\"])(options)&&!Object(vdom_[\"isVNode\"])(options)){return main_Message(main_extends({},options,{type:type}));}return main_Message({type:type,message:options});};});main_Message.close=function(id,userOnClose){var len=main_instances.length;var index=-1;var removedHeight=void 0;for(var i=0;i<len;i++){if(id===main_instances[i].id){removedHeight=main_instances[i].$el.offsetHeight;index=i;if(typeof userOnClose==='function'){userOnClose(main_instances[i]);}main_instances.splice(i,1);break;}}if(len<=1||index===-1||index>main_instances.length-1)return;for(var _i=index;_i<len-1;_i++){var dom=main_instances[_i].$el;dom.style['top']=parseInt(dom.style['top'],10)-removedHeight-16+'px';}};main_Message.closeAll=function(){for(var i=main_instances.length-1;i>=0;i--){main_instances[i].close();}};/* harmony default export */var packages_message_src_main=main_Message;// CONCATENATED MODULE: ./packages/message/index.js\n/* harmony default export */var packages_message=packages_message_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/badge/src/main.vue?vue&type=template&id=7ccb6598&\nvar mainvue_type_template_id_7ccb6598_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-badge\"},[_vm._t(\"default\"),_c(\"transition\",{attrs:{name:\"el-zoom-in-center\"}},[_c(\"sup\",{directives:[{name:\"show\",rawName:\"v-show\",value:!_vm.hidden&&(_vm.content||_vm.content===0||_vm.isDot),expression:\"!hidden && (content || content === 0 || isDot)\"}],staticClass:\"el-badge__content\",class:[_vm.type?\"el-badge__content--\"+_vm.type:null,{\"is-fixed\":_vm.$slots.default,\"is-dot\":_vm.isDot}],domProps:{textContent:_vm._s(_vm.content)}})])],2);};var mainvue_type_template_id_7ccb6598_staticRenderFns=[];mainvue_type_template_id_7ccb6598_render._withStripped=true;// CONCATENATED MODULE: ./packages/badge/src/main.vue?vue&type=template&id=7ccb6598&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/badge/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var badge_src_mainvue_type_script_lang_js_={name:'ElBadge',props:{value:[String,Number],max:Number,isDot:Boolean,hidden:Boolean,type:{type:String,validator:function validator(val){return['primary','success','warning','info','danger'].indexOf(val)>-1;}}},computed:{content:function content(){if(this.isDot)return;var value=this.value;var max=this.max;if(typeof value==='number'&&typeof max==='number'){return max<value?max+'+':value;}return value;}}};// CONCATENATED MODULE: ./packages/badge/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_badge_src_mainvue_type_script_lang_js_=badge_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/badge/src/main.vue\n/* normalize component */var badge_src_main_component=normalizeComponent(packages_badge_src_mainvue_type_script_lang_js_,mainvue_type_template_id_7ccb6598_render,mainvue_type_template_id_7ccb6598_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var badge_src_main_api; }badge_src_main_component.options.__file=\"packages/badge/src/main.vue\";/* harmony default export */var badge_src_main=badge_src_main_component.exports;// CONCATENATED MODULE: ./packages/badge/index.js\n/* istanbul ignore next */badge_src_main.install=function(Vue){Vue.component(badge_src_main.name,badge_src_main);};/* harmony default export */var badge=badge_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/card/src/main.vue?vue&type=template&id=59a4a40f&\nvar mainvue_type_template_id_59a4a40f_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-card\",class:_vm.shadow?\"is-\"+_vm.shadow+\"-shadow\":\"is-always-shadow\"},[_vm.$slots.header||_vm.header?_c(\"div\",{staticClass:\"el-card__header\"},[_vm._t(\"header\",[_vm._v(_vm._s(_vm.header))])],2):_vm._e(),_c(\"div\",{staticClass:\"el-card__body\",style:_vm.bodyStyle},[_vm._t(\"default\")],2)]);};var mainvue_type_template_id_59a4a40f_staticRenderFns=[];mainvue_type_template_id_59a4a40f_render._withStripped=true;// CONCATENATED MODULE: ./packages/card/src/main.vue?vue&type=template&id=59a4a40f&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/card/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var card_src_mainvue_type_script_lang_js_={name:'ElCard',props:{header:{},bodyStyle:{},shadow:{type:String}}};// CONCATENATED MODULE: ./packages/card/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_card_src_mainvue_type_script_lang_js_=card_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/card/src/main.vue\n/* normalize component */var card_src_main_component=normalizeComponent(packages_card_src_mainvue_type_script_lang_js_,mainvue_type_template_id_59a4a40f_render,mainvue_type_template_id_59a4a40f_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var card_src_main_api; }card_src_main_component.options.__file=\"packages/card/src/main.vue\";/* harmony default export */var card_src_main=card_src_main_component.exports;// CONCATENATED MODULE: ./packages/card/index.js\n/* istanbul ignore next */card_src_main.install=function(Vue){Vue.component(card_src_main.name,card_src_main);};/* harmony default export */var card=card_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/rate/src/main.vue?vue&type=template&id=ada57782&\nvar mainvue_type_template_id_ada57782_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-rate\",attrs:{role:\"slider\",\"aria-valuenow\":_vm.currentValue,\"aria-valuetext\":_vm.text,\"aria-valuemin\":\"0\",\"aria-valuemax\":_vm.max,tabindex:\"0\"},on:{keydown:_vm.handleKey}},[_vm._l(_vm.max,function(item,key){return _c(\"span\",{key:key,staticClass:\"el-rate__item\",style:{cursor:_vm.rateDisabled?\"auto\":\"pointer\"},on:{mousemove:function($event){_vm.setCurrentValue(item,$event);},mouseleave:_vm.resetCurrentValue,click:function($event){_vm.selectValue(item);}}},[_c(\"i\",{staticClass:\"el-rate__icon\",class:[_vm.classes[item-1],{hover:_vm.hoverIndex===item}],style:_vm.getIconStyle(item)},[_vm.showDecimalIcon(item)?_c(\"i\",{staticClass:\"el-rate__decimal\",class:_vm.decimalIconClass,style:_vm.decimalStyle}):_vm._e()])]);}),_vm.showText||_vm.showScore?_c(\"span\",{staticClass:\"el-rate__text\",style:{color:_vm.textColor}},[_vm._v(_vm._s(_vm.text))]):_vm._e()],2);};var mainvue_type_template_id_ada57782_staticRenderFns=[];mainvue_type_template_id_ada57782_render._withStripped=true;// CONCATENATED MODULE: ./packages/rate/src/main.vue?vue&type=template&id=ada57782&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/rate/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var rate_src_mainvue_type_script_lang_js_={name:'ElRate',mixins:[migrating_default.a],inject:{elForm:{default:''}},data:function data(){return{pointerAtLeftHalf:true,currentValue:this.value,hoverIndex:-1};},props:{value:{type:Number,default:0},lowThreshold:{type:Number,default:2},highThreshold:{type:Number,default:4},max:{type:Number,default:5},colors:{type:[Array,Object],default:function _default(){return['#F7BA2A','#F7BA2A','#F7BA2A'];}},voidColor:{type:String,default:'#C6D1DE'},disabledVoidColor:{type:String,default:'#EFF2F7'},iconClasses:{type:[Array,Object],default:function _default(){return['el-icon-star-on','el-icon-star-on','el-icon-star-on'];}},voidIconClass:{type:String,default:'el-icon-star-off'},disabledVoidIconClass:{type:String,default:'el-icon-star-on'},disabled:{type:Boolean,default:false},allowHalf:{type:Boolean,default:false},showText:{type:Boolean,default:false},showScore:{type:Boolean,default:false},textColor:{type:String,default:'#1f2d3d'},texts:{type:Array,default:function _default(){return['极差','失望','一般','满意','惊喜'];}},scoreTemplate:{type:String,default:'{value}'}},computed:{text:function text(){var result='';if(this.showScore){result=this.scoreTemplate.replace(/\\{\\s*value\\s*\\}/,this.rateDisabled?this.value:this.currentValue);}else if(this.showText){result=this.texts[Math.ceil(this.currentValue)-1];}return result;},decimalStyle:function decimalStyle(){var width='';if(this.rateDisabled){width=this.valueDecimal+'%';}else if(this.allowHalf){width='50%';}return{color:this.activeColor,width:width};},valueDecimal:function valueDecimal(){return this.value*100-Math.floor(this.value)*100;},classMap:function classMap(){var _ref;return Array.isArray(this.iconClasses)?(_ref={},_ref[this.lowThreshold]=this.iconClasses[0],_ref[this.highThreshold]={value:this.iconClasses[1],excluded:true},_ref[this.max]=this.iconClasses[2],_ref):this.iconClasses;},decimalIconClass:function decimalIconClass(){return this.getValueFromMap(this.value,this.classMap);},voidClass:function voidClass(){return this.rateDisabled?this.disabledVoidIconClass:this.voidIconClass;},activeClass:function activeClass(){return this.getValueFromMap(this.currentValue,this.classMap);},colorMap:function colorMap(){var _ref2;return Array.isArray(this.colors)?(_ref2={},_ref2[this.lowThreshold]=this.colors[0],_ref2[this.highThreshold]={value:this.colors[1],excluded:true},_ref2[this.max]=this.colors[2],_ref2):this.colors;},activeColor:function activeColor(){return this.getValueFromMap(this.currentValue,this.colorMap);},classes:function classes(){var result=[];var i=0;var threshold=this.currentValue;if(this.allowHalf&&this.currentValue!==Math.floor(this.currentValue)){threshold--;}for(;i<threshold;i++){result.push(this.activeClass);}for(;i<this.max;i++){result.push(this.voidClass);}return result;},rateDisabled:function rateDisabled(){return this.disabled||(this.elForm||{}).disabled;}},watch:{value:function value(val){this.currentValue=val;this.pointerAtLeftHalf=this.value!==Math.floor(this.value);}},methods:{getMigratingConfig:function getMigratingConfig(){return{props:{'text-template':'text-template is renamed to score-template.'}};},getValueFromMap:function getValueFromMap(value,map){var matchedKeys=Object.keys(map).filter(function(key){var val=map[key];var excluded=Object(types_[\"isObject\"])(val)?val.excluded:false;return excluded?value<key:value<=key;}).sort(function(a,b){return a-b;});var matchedValue=map[matchedKeys[0]];return Object(types_[\"isObject\"])(matchedValue)?matchedValue.value:matchedValue||'';},showDecimalIcon:function showDecimalIcon(item){var showWhenDisabled=this.rateDisabled&&this.valueDecimal>0&&item-1<this.value&&item>this.value;/* istanbul ignore next */var showWhenAllowHalf=this.allowHalf&&this.pointerAtLeftHalf&&item-0.5<=this.currentValue&&item>this.currentValue;return showWhenDisabled||showWhenAllowHalf;},getIconStyle:function getIconStyle(item){var voidColor=this.rateDisabled?this.disabledVoidColor:this.voidColor;return{color:item<=this.currentValue?this.activeColor:voidColor};},selectValue:function selectValue(value){if(this.rateDisabled){return;}if(this.allowHalf&&this.pointerAtLeftHalf){this.$emit('input',this.currentValue);this.$emit('change',this.currentValue);}else{this.$emit('input',value);this.$emit('change',value);}},handleKey:function handleKey(e){if(this.rateDisabled){return;}var currentValue=this.currentValue;var keyCode=e.keyCode;if(keyCode===38||keyCode===39){// left / down\nif(this.allowHalf){currentValue+=0.5;}else{currentValue+=1;}e.stopPropagation();e.preventDefault();}else if(keyCode===37||keyCode===40){if(this.allowHalf){currentValue-=0.5;}else{currentValue-=1;}e.stopPropagation();e.preventDefault();}currentValue=currentValue<0?0:currentValue;currentValue=currentValue>this.max?this.max:currentValue;this.$emit('input',currentValue);this.$emit('change',currentValue);},setCurrentValue:function setCurrentValue(value,event){if(this.rateDisabled){return;}/* istanbul ignore if */if(this.allowHalf){var target=event.target;if(Object(dom_[\"hasClass\"])(target,'el-rate__item')){target=target.querySelector('.el-rate__icon');}if(Object(dom_[\"hasClass\"])(target,'el-rate__decimal')){target=target.parentNode;}this.pointerAtLeftHalf=event.offsetX*2<=target.clientWidth;this.currentValue=this.pointerAtLeftHalf?value-0.5:value;}else{this.currentValue=value;}this.hoverIndex=value;},resetCurrentValue:function resetCurrentValue(){if(this.rateDisabled){return;}if(this.allowHalf){this.pointerAtLeftHalf=this.value!==Math.floor(this.value);}this.currentValue=this.value;this.hoverIndex=-1;}},created:function created(){if(!this.value){this.$emit('input',0);}}};// CONCATENATED MODULE: ./packages/rate/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_rate_src_mainvue_type_script_lang_js_=rate_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/rate/src/main.vue\n/* normalize component */var rate_src_main_component=normalizeComponent(packages_rate_src_mainvue_type_script_lang_js_,mainvue_type_template_id_ada57782_render,mainvue_type_template_id_ada57782_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var rate_src_main_api; }rate_src_main_component.options.__file=\"packages/rate/src/main.vue\";/* harmony default export */var rate_src_main=rate_src_main_component.exports;// CONCATENATED MODULE: ./packages/rate/index.js\n/* istanbul ignore next */rate_src_main.install=function(Vue){Vue.component(rate_src_main.name,rate_src_main);};/* harmony default export */var packages_rate=rate_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/steps/src/steps.vue?vue&type=template&id=3c6b6dc0&\nvar stepsvue_type_template_id_3c6b6dc0_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-steps\",class:[!_vm.simple&&\"el-steps--\"+_vm.direction,_vm.simple&&\"el-steps--simple\"]},[_vm._t(\"default\")],2);};var stepsvue_type_template_id_3c6b6dc0_staticRenderFns=[];stepsvue_type_template_id_3c6b6dc0_render._withStripped=true;// CONCATENATED MODULE: ./packages/steps/src/steps.vue?vue&type=template&id=3c6b6dc0&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/steps/src/steps.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var stepsvue_type_script_lang_js_={name:'ElSteps',mixins:[migrating_default.a],props:{space:[Number,String],active:Number,direction:{type:String,default:'horizontal'},alignCenter:Boolean,simple:Boolean,finishStatus:{type:String,default:'finish'},processStatus:{type:String,default:'process'}},data:function data(){return{steps:[],stepOffset:0};},methods:{getMigratingConfig:function getMigratingConfig(){return{props:{'center':'center is removed.'}};}},watch:{active:function active(newVal,oldVal){this.$emit('change',newVal,oldVal);},steps:function steps(_steps){_steps.forEach(function(child,index){child.index=index;});}}};// CONCATENATED MODULE: ./packages/steps/src/steps.vue?vue&type=script&lang=js&\n/* harmony default export */var src_stepsvue_type_script_lang_js_=stepsvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/steps/src/steps.vue\n/* normalize component */var steps_component=normalizeComponent(src_stepsvue_type_script_lang_js_,stepsvue_type_template_id_3c6b6dc0_render,stepsvue_type_template_id_3c6b6dc0_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var steps_api; }steps_component.options.__file=\"packages/steps/src/steps.vue\";/* harmony default export */var steps=steps_component.exports;// CONCATENATED MODULE: ./packages/steps/index.js\n/* istanbul ignore next */steps.install=function(Vue){Vue.component(steps.name,steps);};/* harmony default export */var packages_steps=steps;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/steps/src/step.vue?vue&type=template&id=f414a87a&\nvar stepvue_type_template_id_f414a87a_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-step\",class:[!_vm.isSimple&&\"is-\"+_vm.$parent.direction,_vm.isSimple&&\"is-simple\",_vm.isLast&&!_vm.space&&!_vm.isCenter&&\"is-flex\",_vm.isCenter&&!_vm.isVertical&&!_vm.isSimple&&\"is-center\"],style:_vm.style},[_c(\"div\",{staticClass:\"el-step__head\",class:\"is-\"+_vm.currentStatus},[_c(\"div\",{staticClass:\"el-step__line\",style:_vm.isLast?\"\":{marginRight:_vm.$parent.stepOffset+\"px\"}},[_c(\"i\",{staticClass:\"el-step__line-inner\",style:_vm.lineStyle})]),_c(\"div\",{staticClass:\"el-step__icon\",class:\"is-\"+(_vm.icon?\"icon\":\"text\")},[_vm.currentStatus!==\"success\"&&_vm.currentStatus!==\"error\"?_vm._t(\"icon\",[_vm.icon?_c(\"i\",{staticClass:\"el-step__icon-inner\",class:[_vm.icon]}):_vm._e(),!_vm.icon&&!_vm.isSimple?_c(\"div\",{staticClass:\"el-step__icon-inner\"},[_vm._v(_vm._s(_vm.index+1))]):_vm._e()]):_c(\"i\",{staticClass:\"el-step__icon-inner is-status\",class:[\"el-icon-\"+(_vm.currentStatus===\"success\"?\"check\":\"close\")]})],2)]),_c(\"div\",{staticClass:\"el-step__main\"},[_c(\"div\",{ref:\"title\",staticClass:\"el-step__title\",class:[\"is-\"+_vm.currentStatus]},[_vm._t(\"title\",[_vm._v(_vm._s(_vm.title))])],2),_vm.isSimple?_c(\"div\",{staticClass:\"el-step__arrow\"}):_c(\"div\",{staticClass:\"el-step__description\",class:[\"is-\"+_vm.currentStatus]},[_vm._t(\"description\",[_vm._v(_vm._s(_vm.description))])],2)])]);};var stepvue_type_template_id_f414a87a_staticRenderFns=[];stepvue_type_template_id_f414a87a_render._withStripped=true;// CONCATENATED MODULE: ./packages/steps/src/step.vue?vue&type=template&id=f414a87a&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/steps/src/step.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var stepvue_type_script_lang_js_={name:'ElStep',props:{title:String,icon:String,description:String,status:String},data:function data(){return{index:-1,lineStyle:{},internalStatus:''};},beforeCreate:function beforeCreate(){this.$parent.steps.push(this);},beforeDestroy:function beforeDestroy(){var steps=this.$parent.steps;var index=steps.indexOf(this);if(index>=0){steps.splice(index,1);}},computed:{currentStatus:function currentStatus(){return this.status||this.internalStatus;},prevStatus:function prevStatus(){var prevStep=this.$parent.steps[this.index-1];return prevStep?prevStep.currentStatus:'wait';},isCenter:function isCenter(){return this.$parent.alignCenter;},isVertical:function isVertical(){return this.$parent.direction==='vertical';},isSimple:function isSimple(){return this.$parent.simple;},isLast:function isLast(){var parent=this.$parent;return parent.steps[parent.steps.length-1]===this;},stepsCount:function stepsCount(){return this.$parent.steps.length;},space:function space(){var isSimple=this.isSimple,space=this.$parent.space;return isSimple?'':space;},style:function style(){var style={};var parent=this.$parent;var len=parent.steps.length;var space=typeof this.space==='number'?this.space+'px':this.space?this.space:100/(len-(this.isCenter?0:1))+'%';style.flexBasis=space;if(this.isVertical)return style;if(this.isLast){style.maxWidth=100/this.stepsCount+'%';}else{style.marginRight=-this.$parent.stepOffset+'px';}return style;}},methods:{updateStatus:function updateStatus(val){var prevChild=this.$parent.$children[this.index-1];if(val>this.index){this.internalStatus=this.$parent.finishStatus;}else if(val===this.index&&this.prevStatus!=='error'){this.internalStatus=this.$parent.processStatus;}else{this.internalStatus='wait';}if(prevChild)prevChild.calcProgress(this.internalStatus);},calcProgress:function calcProgress(status){var step=100;var style={};style.transitionDelay=150*this.index+'ms';if(status===this.$parent.processStatus){step=this.currentStatus!=='error'?0:0;}else if(status==='wait'){step=0;style.transitionDelay=-150*this.index+'ms';}style.borderWidth=step&&!this.isSimple?'1px':0;this.$parent.direction==='vertical'?style.height=step+'%':style.width=step+'%';this.lineStyle=style;}},mounted:function mounted(){var _this=this;var unwatch=this.$watch('index',function(val){_this.$watch('$parent.active',_this.updateStatus,{immediate:true});_this.$watch('$parent.processStatus',function(){var activeIndex=_this.$parent.active;_this.updateStatus(activeIndex);},{immediate:true});unwatch();});}};// CONCATENATED MODULE: ./packages/steps/src/step.vue?vue&type=script&lang=js&\n/* harmony default export */var src_stepvue_type_script_lang_js_=stepvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/steps/src/step.vue\n/* normalize component */var step_component=normalizeComponent(src_stepvue_type_script_lang_js_,stepvue_type_template_id_f414a87a_render,stepvue_type_template_id_f414a87a_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var step_api; }step_component.options.__file=\"packages/steps/src/step.vue\";/* harmony default export */var step=step_component.exports;// CONCATENATED MODULE: ./packages/step/index.js\n/* istanbul ignore next */step.install=function(Vue){Vue.component(step.name,step);};/* harmony default export */var packages_step=step;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/carousel/src/main.vue?vue&type=template&id=5d5d1482&\nvar mainvue_type_template_id_5d5d1482_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{class:_vm.carouselClasses,on:{mouseenter:function($event){$event.stopPropagation();return _vm.handleMouseEnter($event);},mouseleave:function($event){$event.stopPropagation();return _vm.handleMouseLeave($event);}}},[_c(\"div\",{staticClass:\"el-carousel__container\",style:{height:_vm.height}},[_vm.arrowDisplay?_c(\"transition\",{attrs:{name:\"carousel-arrow-left\"}},[_c(\"button\",{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.arrow===\"always\"||_vm.hover)&&(_vm.loop||_vm.activeIndex>0),expression:\"(arrow === 'always' || hover) && (loop || activeIndex > 0)\"}],staticClass:\"el-carousel__arrow el-carousel__arrow--left\",attrs:{type:\"button\"},on:{mouseenter:function($event){_vm.handleButtonEnter(\"left\");},mouseleave:_vm.handleButtonLeave,click:function($event){$event.stopPropagation();_vm.throttledArrowClick(_vm.activeIndex-1);}}},[_c(\"i\",{staticClass:\"el-icon-arrow-left\"})])]):_vm._e(),_vm.arrowDisplay?_c(\"transition\",{attrs:{name:\"carousel-arrow-right\"}},[_c(\"button\",{directives:[{name:\"show\",rawName:\"v-show\",value:(_vm.arrow===\"always\"||_vm.hover)&&(_vm.loop||_vm.activeIndex<_vm.items.length-1),expression:\"(arrow === 'always' || hover) && (loop || activeIndex < items.length - 1)\"}],staticClass:\"el-carousel__arrow el-carousel__arrow--right\",attrs:{type:\"button\"},on:{mouseenter:function($event){_vm.handleButtonEnter(\"right\");},mouseleave:_vm.handleButtonLeave,click:function($event){$event.stopPropagation();_vm.throttledArrowClick(_vm.activeIndex+1);}}},[_c(\"i\",{staticClass:\"el-icon-arrow-right\"})])]):_vm._e(),_vm._t(\"default\")],2),_vm.indicatorPosition!==\"none\"?_c(\"ul\",{class:_vm.indicatorsClasses},_vm._l(_vm.items,function(item,index){return _c(\"li\",{key:index,class:[\"el-carousel__indicator\",\"el-carousel__indicator--\"+_vm.direction,{\"is-active\":index===_vm.activeIndex}],on:{mouseenter:function($event){_vm.throttledIndicatorHover(index);},click:function($event){$event.stopPropagation();_vm.handleIndicatorClick(index);}}},[_c(\"button\",{staticClass:\"el-carousel__button\"},[_vm.hasLabel?_c(\"span\",[_vm._v(_vm._s(item.label))]):_vm._e()])]);}),0):_vm._e()]);};var mainvue_type_template_id_5d5d1482_staticRenderFns=[];mainvue_type_template_id_5d5d1482_render._withStripped=true;// CONCATENATED MODULE: ./packages/carousel/src/main.vue?vue&type=template&id=5d5d1482&\n// EXTERNAL MODULE: external \"throttle-debounce/throttle\"\nvar throttle_=__nested_webpack_require_8056__(25);var throttle_default=/*#__PURE__*/__nested_webpack_require_8056__.n(throttle_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/carousel/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var carousel_src_mainvue_type_script_lang_js_={name:'ElCarousel',props:{initialIndex:{type:Number,default:0},height:String,trigger:{type:String,default:'hover'},autoplay:{type:Boolean,default:true},interval:{type:Number,default:3000},indicatorPosition:String,indicator:{type:Boolean,default:true},arrow:{type:String,default:'hover'},type:String,loop:{type:Boolean,default:true},direction:{type:String,default:'horizontal',validator:function validator(val){return['horizontal','vertical'].indexOf(val)!==-1;}}},data:function data(){return{items:[],activeIndex:-1,containerWidth:0,timer:null,hover:false};},computed:{arrowDisplay:function arrowDisplay(){return this.arrow!=='never'&&this.direction!=='vertical';},hasLabel:function hasLabel(){return this.items.some(function(item){return item.label.toString().length>0;});},carouselClasses:function carouselClasses(){var classes=['el-carousel','el-carousel--'+this.direction];if(this.type==='card'){classes.push('el-carousel--card');}return classes;},indicatorsClasses:function indicatorsClasses(){var classes=['el-carousel__indicators','el-carousel__indicators--'+this.direction];if(this.hasLabel){classes.push('el-carousel__indicators--labels');}if(this.indicatorPosition==='outside'||this.type==='card'){classes.push('el-carousel__indicators--outside');}return classes;}},watch:{items:function items(val){if(val.length>0)this.setActiveItem(this.initialIndex);},activeIndex:function activeIndex(val,oldVal){this.resetItemPosition(oldVal);if(oldVal>-1){this.$emit('change',val,oldVal);}},autoplay:function autoplay(val){val?this.startTimer():this.pauseTimer();},loop:function loop(){this.setActiveItem(this.activeIndex);},interval:function interval(){this.pauseTimer();this.startTimer();}},methods:{handleMouseEnter:function handleMouseEnter(){this.hover=true;this.pauseTimer();},handleMouseLeave:function handleMouseLeave(){this.hover=false;this.startTimer();},itemInStage:function itemInStage(item,index){var length=this.items.length;if(index===length-1&&item.inStage&&this.items[0].active||item.inStage&&this.items[index+1]&&this.items[index+1].active){return'left';}else if(index===0&&item.inStage&&this.items[length-1].active||item.inStage&&this.items[index-1]&&this.items[index-1].active){return'right';}return false;},handleButtonEnter:function handleButtonEnter(arrow){var _this=this;if(this.direction==='vertical')return;this.items.forEach(function(item,index){if(arrow===_this.itemInStage(item,index)){item.hover=true;}});},handleButtonLeave:function handleButtonLeave(){if(this.direction==='vertical')return;this.items.forEach(function(item){item.hover=false;});},updateItems:function updateItems(){this.items=this.$children.filter(function(child){return child.$options.name==='ElCarouselItem';});},resetItemPosition:function resetItemPosition(oldIndex){var _this2=this;this.items.forEach(function(item,index){item.translateItem(index,_this2.activeIndex,oldIndex);});},playSlides:function playSlides(){if(this.activeIndex<this.items.length-1){this.activeIndex++;}else if(this.loop){this.activeIndex=0;}},pauseTimer:function pauseTimer(){if(this.timer){clearInterval(this.timer);this.timer=null;}},startTimer:function startTimer(){if(this.interval<=0||!this.autoplay||this.timer)return;this.timer=setInterval(this.playSlides,this.interval);},resetTimer:function resetTimer(){this.pauseTimer();this.startTimer();},setActiveItem:function setActiveItem(index){if(typeof index==='string'){var filteredItems=this.items.filter(function(item){return item.name===index;});if(filteredItems.length>0){index=this.items.indexOf(filteredItems[0]);}}index=Number(index);if(isNaN(index)||index!==Math.floor(index)){console.warn('[Element Warn][Carousel]index must be an integer.');return;}var length=this.items.length;var oldIndex=this.activeIndex;if(index<0){this.activeIndex=this.loop?length-1:0;}else if(index>=length){this.activeIndex=this.loop?0:length-1;}else{this.activeIndex=index;}if(oldIndex===this.activeIndex){this.resetItemPosition(oldIndex);}this.resetTimer();},prev:function prev(){this.setActiveItem(this.activeIndex-1);},next:function next(){this.setActiveItem(this.activeIndex+1);},handleIndicatorClick:function handleIndicatorClick(index){this.activeIndex=index;},handleIndicatorHover:function handleIndicatorHover(index){if(this.trigger==='hover'&&index!==this.activeIndex){this.activeIndex=index;}}},created:function created(){var _this3=this;this.throttledArrowClick=throttle_default()(300,true,function(index){_this3.setActiveItem(index);});this.throttledIndicatorHover=throttle_default()(300,function(index){_this3.handleIndicatorHover(index);});},mounted:function mounted(){var _this4=this;this.updateItems();this.$nextTick(function(){Object(resize_event_[\"addResizeListener\"])(_this4.$el,_this4.resetItemPosition);if(_this4.initialIndex<_this4.items.length&&_this4.initialIndex>=0){_this4.activeIndex=_this4.initialIndex;}_this4.startTimer();});},beforeDestroy:function beforeDestroy(){if(this.$el)Object(resize_event_[\"removeResizeListener\"])(this.$el,this.resetItemPosition);this.pauseTimer();}};// CONCATENATED MODULE: ./packages/carousel/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_carousel_src_mainvue_type_script_lang_js_=carousel_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/carousel/src/main.vue\n/* normalize component */var carousel_src_main_component=normalizeComponent(packages_carousel_src_mainvue_type_script_lang_js_,mainvue_type_template_id_5d5d1482_render,mainvue_type_template_id_5d5d1482_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var carousel_src_main_api; }carousel_src_main_component.options.__file=\"packages/carousel/src/main.vue\";/* harmony default export */var carousel_src_main=carousel_src_main_component.exports;// CONCATENATED MODULE: ./packages/carousel/index.js\n/* istanbul ignore next */carousel_src_main.install=function(Vue){Vue.component(carousel_src_main.name,carousel_src_main);};/* harmony default export */var carousel=carousel_src_main;// CONCATENATED MODULE: ./packages/scrollbar/src/util.js\nvar BAR_MAP={vertical:{offset:'offsetHeight',scroll:'scrollTop',scrollSize:'scrollHeight',size:'height',key:'vertical',axis:'Y',client:'clientY',direction:'top'},horizontal:{offset:'offsetWidth',scroll:'scrollLeft',scrollSize:'scrollWidth',size:'width',key:'horizontal',axis:'X',client:'clientX',direction:'left'}};function renderThumbStyle(_ref){var move=_ref.move,size=_ref.size,bar=_ref.bar;var style={};var translate='translate'+bar.axis+'('+move+'%)';style[bar.size]=size;style.transform=translate;style.msTransform=translate;style.webkitTransform=translate;return style;};// CONCATENATED MODULE: ./packages/scrollbar/src/bar.js\n/* istanbul ignore next */ /* harmony default export */var src_bar={name:'Bar',props:{vertical:Boolean,size:String,move:Number},computed:{bar:function bar(){return BAR_MAP[this.vertical?'vertical':'horizontal'];},wrap:function wrap(){return this.$parent.wrap;}},render:function render(h){var size=this.size,move=this.move,bar=this.bar;return h('div',{'class':['el-scrollbar__bar','is-'+bar.key],on:{'mousedown':this.clickTrackHandler}},[h('div',{ref:'thumb','class':'el-scrollbar__thumb',on:{'mousedown':this.clickThumbHandler},style:renderThumbStyle({size:size,move:move,bar:bar})})]);},methods:{clickThumbHandler:function clickThumbHandler(e){// prevent click event of right button\nif(e.ctrlKey||e.button===2){return;}this.startDrag(e);this[this.bar.axis]=e.currentTarget[this.bar.offset]-(e[this.bar.client]-e.currentTarget.getBoundingClientRect()[this.bar.direction]);},clickTrackHandler:function clickTrackHandler(e){var offset=Math.abs(e.target.getBoundingClientRect()[this.bar.direction]-e[this.bar.client]);var thumbHalf=this.$refs.thumb[this.bar.offset]/2;var thumbPositionPercentage=(offset-thumbHalf)*100/this.$el[this.bar.offset];this.wrap[this.bar.scroll]=thumbPositionPercentage*this.wrap[this.bar.scrollSize]/100;},startDrag:function startDrag(e){e.stopImmediatePropagation();this.cursorDown=true;Object(dom_[\"on\"])(document,'mousemove',this.mouseMoveDocumentHandler);Object(dom_[\"on\"])(document,'mouseup',this.mouseUpDocumentHandler);document.onselectstart=function(){return false;};},mouseMoveDocumentHandler:function mouseMoveDocumentHandler(e){if(this.cursorDown===false)return;var prevPage=this[this.bar.axis];if(!prevPage)return;var offset=(this.$el.getBoundingClientRect()[this.bar.direction]-e[this.bar.client])*-1;var thumbClickPosition=this.$refs.thumb[this.bar.offset]-prevPage;var thumbPositionPercentage=(offset-thumbClickPosition)*100/this.$el[this.bar.offset];this.wrap[this.bar.scroll]=thumbPositionPercentage*this.wrap[this.bar.scrollSize]/100;},mouseUpDocumentHandler:function mouseUpDocumentHandler(e){this.cursorDown=false;this[this.bar.axis]=0;Object(dom_[\"off\"])(document,'mousemove',this.mouseMoveDocumentHandler);document.onselectstart=null;}},destroyed:function destroyed(){Object(dom_[\"off\"])(document,'mouseup',this.mouseUpDocumentHandler);}};// CONCATENATED MODULE: ./packages/scrollbar/src/main.js\n// reference https://github.com/noeldelgado/gemini-scrollbar/blob/master/index.js\n/* istanbul ignore next */ /* harmony default export */var scrollbar_src_main={name:'ElScrollbar',components:{Bar:src_bar},props:{native:Boolean,wrapStyle:{},wrapClass:{},viewClass:{},viewStyle:{},noresize:Boolean,// 如果 container 尺寸不会发生变化，最好设置它可以优化性能\ntag:{type:String,default:'div'}},data:function data(){return{sizeWidth:'0',sizeHeight:'0',moveX:0,moveY:0};},computed:{wrap:function wrap(){return this.$refs.wrap;}},render:function render(h){var gutter=scrollbar_width_default()();var style=this.wrapStyle;if(gutter){var gutterWith='-'+gutter+'px';var gutterStyle='margin-bottom: '+gutterWith+'; margin-right: '+gutterWith+';';if(Array.isArray(this.wrapStyle)){style=Object(util_[\"toObject\"])(this.wrapStyle);style.marginRight=style.marginBottom=gutterWith;}else if(typeof this.wrapStyle==='string'){style+=gutterStyle;}else{style=gutterStyle;}}var view=h(this.tag,{class:['el-scrollbar__view',this.viewClass],style:this.viewStyle,ref:'resize'},this.$slots.default);var wrap=h('div',{ref:'wrap',style:style,on:{'scroll':this.handleScroll},'class':[this.wrapClass,'el-scrollbar__wrap',gutter?'':'el-scrollbar__wrap--hidden-default']},[[view]]);var nodes=void 0;if(!this.native){nodes=[wrap,h(src_bar,{attrs:{move:this.moveX,size:this.sizeWidth}}),h(src_bar,{attrs:{vertical:true,move:this.moveY,size:this.sizeHeight}})];}else{nodes=[h('div',{ref:'wrap','class':[this.wrapClass,'el-scrollbar__wrap'],style:style},[[view]])];}return h('div',{class:'el-scrollbar'},nodes);},methods:{handleScroll:function handleScroll(){var wrap=this.wrap;this.moveY=wrap.scrollTop*100/wrap.clientHeight;this.moveX=wrap.scrollLeft*100/wrap.clientWidth;},update:function update(){var heightPercentage=void 0,widthPercentage=void 0;var wrap=this.wrap;if(!wrap)return;heightPercentage=wrap.clientHeight*100/wrap.scrollHeight;widthPercentage=wrap.clientWidth*100/wrap.scrollWidth;this.sizeHeight=heightPercentage<100?heightPercentage+'%':'';this.sizeWidth=widthPercentage<100?widthPercentage+'%':'';}},mounted:function mounted(){if(this.native)return;this.$nextTick(this.update);!this.noresize&&Object(resize_event_[\"addResizeListener\"])(this.$refs.resize,this.update);},beforeDestroy:function beforeDestroy(){if(this.native)return;!this.noresize&&Object(resize_event_[\"removeResizeListener\"])(this.$refs.resize,this.update);}};// CONCATENATED MODULE: ./packages/scrollbar/index.js\n/* istanbul ignore next */scrollbar_src_main.install=function(Vue){Vue.component(scrollbar_src_main.name,scrollbar_src_main);};/* harmony default export */var scrollbar=scrollbar_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/carousel/src/item.vue?vue&type=template&id=1801ae19&\nvar itemvue_type_template_id_1801ae19_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.ready,expression:\"ready\"}],staticClass:\"el-carousel__item\",class:{\"is-active\":_vm.active,\"el-carousel__item--card\":_vm.$parent.type===\"card\",\"is-in-stage\":_vm.inStage,\"is-hover\":_vm.hover,\"is-animating\":_vm.animating},style:_vm.itemStyle,on:{click:_vm.handleItemClick}},[_vm.$parent.type===\"card\"?_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:!_vm.active,expression:\"!active\"}],staticClass:\"el-carousel__mask\"}):_vm._e(),_vm._t(\"default\")],2);};var itemvue_type_template_id_1801ae19_staticRenderFns=[];itemvue_type_template_id_1801ae19_render._withStripped=true;// CONCATENATED MODULE: ./packages/carousel/src/item.vue?vue&type=template&id=1801ae19&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/carousel/src/item.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar CARD_SCALE=0.83;/* harmony default export */var itemvue_type_script_lang_js_={name:'ElCarouselItem',props:{name:String,label:{type:[String,Number],default:''}},data:function data(){return{hover:false,translate:0,scale:1,active:false,ready:false,inStage:false,animating:false};},methods:{processIndex:function processIndex(index,activeIndex,length){if(activeIndex===0&&index===length-1){return-1;}else if(activeIndex===length-1&&index===0){return length;}else if(index<activeIndex-1&&activeIndex-index>=length/2){return length+1;}else if(index>activeIndex+1&&index-activeIndex>=length/2){return-2;}return index;},calcCardTranslate:function calcCardTranslate(index,activeIndex){var parentWidth=this.$parent.$el.offsetWidth;if(this.inStage){return parentWidth*((2-CARD_SCALE)*(index-activeIndex)+1)/4;}else if(index<activeIndex){return-(1+CARD_SCALE)*parentWidth/4;}else{return(3+CARD_SCALE)*parentWidth/4;}},calcTranslate:function calcTranslate(index,activeIndex,isVertical){var distance=this.$parent.$el[isVertical?'offsetHeight':'offsetWidth'];return distance*(index-activeIndex);},translateItem:function translateItem(index,activeIndex,oldIndex){var parentType=this.$parent.type;var parentDirection=this.parentDirection;var length=this.$parent.items.length;if(parentType!=='card'&&oldIndex!==undefined){this.animating=index===activeIndex||index===oldIndex;}if(index!==activeIndex&&length>2&&this.$parent.loop){index=this.processIndex(index,activeIndex,length);}if(parentType==='card'){if(parentDirection==='vertical'){console.warn('[Element Warn][Carousel]vertical direction is not supported in card mode');}this.inStage=Math.round(Math.abs(index-activeIndex))<=1;this.active=index===activeIndex;this.translate=this.calcCardTranslate(index,activeIndex);this.scale=this.active?1:CARD_SCALE;}else{this.active=index===activeIndex;var isVertical=parentDirection==='vertical';this.translate=this.calcTranslate(index,activeIndex,isVertical);this.scale=1;}this.ready=true;},handleItemClick:function handleItemClick(){var parent=this.$parent;if(parent&&parent.type==='card'){var index=parent.items.indexOf(this);parent.setActiveItem(index);}}},computed:{parentDirection:function parentDirection(){return this.$parent.direction;},itemStyle:function itemStyle(){var translateType=this.parentDirection==='vertical'?'translateY':'translateX';var value=translateType+'('+this.translate+'px) scale('+this.scale+')';var style={transform:value};return Object(util_[\"autoprefixer\"])(style);}},created:function created(){this.$parent&&this.$parent.updateItems();},destroyed:function destroyed(){this.$parent&&this.$parent.updateItems();}};// CONCATENATED MODULE: ./packages/carousel/src/item.vue?vue&type=script&lang=js&\n/* harmony default export */var src_itemvue_type_script_lang_js_=itemvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/carousel/src/item.vue\n/* normalize component */var item_component=normalizeComponent(src_itemvue_type_script_lang_js_,itemvue_type_template_id_1801ae19_render,itemvue_type_template_id_1801ae19_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var item_api; }item_component.options.__file=\"packages/carousel/src/item.vue\";/* harmony default export */var src_item=item_component.exports;// CONCATENATED MODULE: ./packages/carousel-item/index.js\n/* istanbul ignore next */src_item.install=function(Vue){Vue.component(src_item.name,src_item);};/* harmony default export */var carousel_item=src_item;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/collapse/src/collapse.vue?vue&type=template&id=461d57f4&\nvar collapsevue_type_template_id_461d57f4_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-collapse\",attrs:{role:\"tablist\",\"aria-multiselectable\":\"true\"}},[_vm._t(\"default\")],2);};var collapsevue_type_template_id_461d57f4_staticRenderFns=[];collapsevue_type_template_id_461d57f4_render._withStripped=true;// CONCATENATED MODULE: ./packages/collapse/src/collapse.vue?vue&type=template&id=461d57f4&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/collapse/src/collapse.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n/* harmony default export */var collapsevue_type_script_lang_js_={name:'ElCollapse',componentName:'ElCollapse',props:{accordion:Boolean,value:{type:[Array,String,Number],default:function _default(){return[];}}},data:function data(){return{activeNames:[].concat(this.value)};},provide:function provide(){return{collapse:this};},watch:{value:function value(_value){this.activeNames=[].concat(_value);}},methods:{setActiveNames:function setActiveNames(activeNames){activeNames=[].concat(activeNames);var value=this.accordion?activeNames[0]:activeNames;this.activeNames=activeNames;this.$emit('input',value);this.$emit('change',value);},handleItemClick:function handleItemClick(item){if(this.accordion){this.setActiveNames((this.activeNames[0]||this.activeNames[0]===0)&&this.activeNames[0]===item.name?'':item.name);}else{var activeNames=this.activeNames.slice(0);var index=activeNames.indexOf(item.name);if(index>-1){activeNames.splice(index,1);}else{activeNames.push(item.name);}this.setActiveNames(activeNames);}}},created:function created(){this.$on('item-click',this.handleItemClick);}};// CONCATENATED MODULE: ./packages/collapse/src/collapse.vue?vue&type=script&lang=js&\n/* harmony default export */var src_collapsevue_type_script_lang_js_=collapsevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/collapse/src/collapse.vue\n/* normalize component */var collapse_component=normalizeComponent(src_collapsevue_type_script_lang_js_,collapsevue_type_template_id_461d57f4_render,collapsevue_type_template_id_461d57f4_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var collapse_api; }collapse_component.options.__file=\"packages/collapse/src/collapse.vue\";/* harmony default export */var collapse=collapse_component.exports;// CONCATENATED MODULE: ./packages/collapse/index.js\n/* istanbul ignore next */collapse.install=function(Vue){Vue.component(collapse.name,collapse);};/* harmony default export */var packages_collapse=collapse;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/collapse/src/collapse-item.vue?vue&type=template&id=2d05faac&\nvar collapse_itemvue_type_template_id_2d05faac_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-collapse-item\",class:{\"is-active\":_vm.isActive,\"is-disabled\":_vm.disabled}},[_c(\"div\",{attrs:{role:\"tab\",\"aria-expanded\":_vm.isActive,\"aria-controls\":\"el-collapse-content-\"+_vm.id,\"aria-describedby\":\"el-collapse-content-\"+_vm.id}},[_c(\"div\",{staticClass:\"el-collapse-item__header\",class:{focusing:_vm.focusing,\"is-active\":_vm.isActive},attrs:{role:\"button\",id:\"el-collapse-head-\"+_vm.id,tabindex:_vm.disabled?undefined:0},on:{click:_vm.handleHeaderClick,keyup:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"space\",32,$event.key,[\" \",\"Spacebar\"])&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}$event.stopPropagation();return _vm.handleEnterClick($event);},focus:_vm.handleFocus,blur:function($event){_vm.focusing=false;}}},[_vm._t(\"title\",[_vm._v(_vm._s(_vm.title))]),_c(\"i\",{staticClass:\"el-collapse-item__arrow el-icon-arrow-right\",class:{\"is-active\":_vm.isActive}})],2)]),_c(\"el-collapse-transition\",[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.isActive,expression:\"isActive\"}],staticClass:\"el-collapse-item__wrap\",attrs:{role:\"tabpanel\",\"aria-hidden\":!_vm.isActive,\"aria-labelledby\":\"el-collapse-head-\"+_vm.id,id:\"el-collapse-content-\"+_vm.id}},[_c(\"div\",{staticClass:\"el-collapse-item__content\"},[_vm._t(\"default\")],2)])])],1);};var collapse_itemvue_type_template_id_2d05faac_staticRenderFns=[];collapse_itemvue_type_template_id_2d05faac_render._withStripped=true;// CONCATENATED MODULE: ./packages/collapse/src/collapse-item.vue?vue&type=template&id=2d05faac&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/collapse/src/collapse-item.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var collapse_itemvue_type_script_lang_js_={name:'ElCollapseItem',componentName:'ElCollapseItem',mixins:[emitter_default.a],components:{ElCollapseTransition:collapse_transition_default.a},data:function data(){return{contentWrapStyle:{height:'auto',display:'block'},contentHeight:0,focusing:false,isClick:false,id:Object(util_[\"generateId\"])()};},inject:['collapse'],props:{title:String,name:{type:[String,Number],default:function _default(){return this._uid;}},disabled:Boolean},computed:{isActive:function isActive(){return this.collapse.activeNames.indexOf(this.name)>-1;}},methods:{handleFocus:function handleFocus(){var _this=this;setTimeout(function(){if(!_this.isClick){_this.focusing=true;}else{_this.isClick=false;}},50);},handleHeaderClick:function handleHeaderClick(){if(this.disabled)return;this.dispatch('ElCollapse','item-click',this);this.focusing=false;this.isClick=true;},handleEnterClick:function handleEnterClick(){this.dispatch('ElCollapse','item-click',this);}}};// CONCATENATED MODULE: ./packages/collapse/src/collapse-item.vue?vue&type=script&lang=js&\n/* harmony default export */var src_collapse_itemvue_type_script_lang_js_=collapse_itemvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/collapse/src/collapse-item.vue\n/* normalize component */var collapse_item_component=normalizeComponent(src_collapse_itemvue_type_script_lang_js_,collapse_itemvue_type_template_id_2d05faac_render,collapse_itemvue_type_template_id_2d05faac_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var collapse_item_api; }collapse_item_component.options.__file=\"packages/collapse/src/collapse-item.vue\";/* harmony default export */var collapse_item=collapse_item_component.exports;// CONCATENATED MODULE: ./packages/collapse-item/index.js\n/* istanbul ignore next */collapse_item.install=function(Vue){Vue.component(collapse_item.name,collapse_item);};/* harmony default export */var packages_collapse_item=collapse_item;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader/src/cascader.vue?vue&type=template&id=032537a6&\nvar cascadervue_type_template_id_032537a6_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:function(){return _vm.toggleDropDownVisible(false);},expression:\"() => toggleDropDownVisible(false)\"}],ref:\"reference\",class:[\"el-cascader\",_vm.realSize&&\"el-cascader--\"+_vm.realSize,{\"is-disabled\":_vm.isDisabled}],on:{mouseenter:function($event){_vm.inputHover=true;},mouseleave:function($event){_vm.inputHover=false;},click:function(){return _vm.toggleDropDownVisible(_vm.readonly?undefined:true);},keydown:_vm.handleKeyDown}},[_c(\"el-input\",{ref:\"input\",class:{\"is-focus\":_vm.dropDownVisible},attrs:{size:_vm.realSize,placeholder:_vm.placeholder,readonly:_vm.readonly,disabled:_vm.isDisabled,\"validate-event\":false},on:{focus:_vm.handleFocus,blur:_vm.handleBlur,input:_vm.handleInput},model:{value:_vm.multiple?_vm.presentText:_vm.inputValue,callback:function($$v){_vm.multiple?_vm.presentText:_vm.inputValue=$$v;},expression:\"multiple ? presentText : inputValue\"}},[_c(\"template\",{slot:\"suffix\"},[_vm.clearBtnVisible?_c(\"i\",{key:\"clear\",staticClass:\"el-input__icon el-icon-circle-close\",on:{click:function($event){$event.stopPropagation();return _vm.handleClear($event);}}}):_c(\"i\",{key:\"arrow-down\",class:[\"el-input__icon\",\"el-icon-arrow-down\",_vm.dropDownVisible&&\"is-reverse\"],on:{click:function($event){$event.stopPropagation();_vm.toggleDropDownVisible();}}})])],2),_vm.multiple?_c(\"div\",{staticClass:\"el-cascader__tags\"},[_vm._l(_vm.presentTags,function(tag){return _c(\"el-tag\",{key:tag.key,attrs:{type:\"info\",size:_vm.tagSize,hit:tag.hitState,closable:tag.closable,\"disable-transitions\":\"\"},on:{close:function($event){_vm.deleteTag(tag);}}},[_c(\"span\",[_vm._v(_vm._s(tag.text))])]);}),_vm.filterable&&!_vm.isDisabled?_c(\"input\",{directives:[{name:\"model\",rawName:\"v-model.trim\",value:_vm.inputValue,expression:\"inputValue\",modifiers:{trim:true}}],staticClass:\"el-cascader__search-input\",attrs:{type:\"text\",placeholder:_vm.presentTags.length?\"\":_vm.placeholder},domProps:{value:_vm.inputValue},on:{input:[function($event){if($event.target.composing){return;}_vm.inputValue=$event.target.value.trim();},function(e){return _vm.handleInput(_vm.inputValue,e);}],click:function($event){$event.stopPropagation();_vm.toggleDropDownVisible(true);},keydown:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"delete\",[8,46],$event.key,[\"Backspace\",\"Delete\",\"Del\"])){return null;}return _vm.handleDelete($event);},blur:function($event){_vm.$forceUpdate();}}}):_vm._e()],2):_vm._e(),_c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"after-leave\":_vm.handleDropdownLeave}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.dropDownVisible,expression:\"dropDownVisible\"}],ref:\"popper\",class:[\"el-popper\",\"el-cascader__dropdown\",_vm.popperClass]},[_c(\"el-cascader-panel\",{directives:[{name:\"show\",rawName:\"v-show\",value:!_vm.filtering,expression:\"!filtering\"}],ref:\"panel\",attrs:{options:_vm.options,props:_vm.config,border:false,\"render-label\":_vm.$scopedSlots.default},on:{\"expand-change\":_vm.handleExpandChange,close:function($event){_vm.toggleDropDownVisible(false);}},model:{value:_vm.checkedValue,callback:function($$v){_vm.checkedValue=$$v;},expression:\"checkedValue\"}}),_vm.filterable?_c(\"el-scrollbar\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.filtering,expression:\"filtering\"}],ref:\"suggestionPanel\",staticClass:\"el-cascader__suggestion-panel\",attrs:{tag:\"ul\",\"view-class\":\"el-cascader__suggestion-list\"},nativeOn:{keydown:function($event){return _vm.handleSuggestionKeyDown($event);}}},[_vm.suggestions.length?_vm._l(_vm.suggestions,function(item,index){return _c(\"li\",{key:item.uid,class:[\"el-cascader__suggestion-item\",item.checked&&\"is-checked\"],attrs:{tabindex:-1},on:{click:function($event){_vm.handleSuggestionClick(index);}}},[_c(\"span\",[_vm._v(_vm._s(item.text))]),item.checked?_c(\"i\",{staticClass:\"el-icon-check\"}):_vm._e()]);}):_vm._t(\"empty\",[_c(\"li\",{staticClass:\"el-cascader__empty-text\"},[_vm._v(_vm._s(_vm.t(\"el.cascader.noMatch\")))])])],2):_vm._e()],1)])],1);};var cascadervue_type_template_id_032537a6_staticRenderFns=[];cascadervue_type_template_id_032537a6_render._withStripped=true;// CONCATENATED MODULE: ./packages/cascader/src/cascader.vue?vue&type=template&id=032537a6&\n// EXTERNAL MODULE: external \"element-ui/lib/cascader-panel\"\nvar cascader_panel_=__nested_webpack_require_8056__(43);var cascader_panel_default=/*#__PURE__*/__nested_webpack_require_8056__.n(cascader_panel_);// EXTERNAL MODULE: external \"element-ui/lib/utils/aria-utils\"\nvar aria_utils_=__nested_webpack_require_8056__(35);var aria_utils_default=/*#__PURE__*/__nested_webpack_require_8056__.n(aria_utils_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader/src/cascader.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar KeyCode=aria_utils_default.a.keys;var MigratingProps={expandTrigger:{newProp:'expandTrigger',type:String},changeOnSelect:{newProp:'checkStrictly',type:Boolean},hoverThreshold:{newProp:'hoverThreshold',type:Number}};var PopperMixin={props:{placement:{type:String,default:'bottom-start'},appendToBody:vue_popper_default.a.props.appendToBody,visibleArrow:{type:Boolean,default:true},arrowOffset:vue_popper_default.a.props.arrowOffset,offset:vue_popper_default.a.props.offset,boundariesPadding:vue_popper_default.a.props.boundariesPadding,popperOptions:vue_popper_default.a.props.popperOptions,transformOrigin:vue_popper_default.a.props.transformOrigin},methods:vue_popper_default.a.methods,data:vue_popper_default.a.data,beforeDestroy:vue_popper_default.a.beforeDestroy};var InputSizeMap={medium:36,small:32,mini:28};/* harmony default export */var cascadervue_type_script_lang_js_={name:'ElCascader',directives:{Clickoutside:clickoutside_default.a},mixins:[PopperMixin,emitter_default.a,locale_default.a,migrating_default.a],inject:{elForm:{default:''},elFormItem:{default:''}},components:{ElInput:input_default.a,ElTag:tag_default.a,ElScrollbar:scrollbar_default.a,ElCascaderPanel:cascader_panel_default.a},props:{value:{},options:Array,props:Object,size:String,placeholder:{type:String,default:function _default(){return Object(lib_locale_[\"t\"])('el.cascader.placeholder');}},disabled:Boolean,clearable:Boolean,filterable:Boolean,filterMethod:Function,separator:{type:String,default:' / '},showAllLevels:{type:Boolean,default:true},collapseTags:Boolean,debounce:{type:Number,default:300},beforeFilter:{type:Function,default:function _default(){return function(){};}},popperClass:String},data:function data(){return{dropDownVisible:false,checkedValue:this.value,inputHover:false,inputValue:null,presentText:null,presentTags:[],checkedNodes:[],filtering:false,suggestions:[],inputInitialHeight:0,pressDeleteCount:0};},computed:{realSize:function realSize(){var _elFormItemSize=(this.elFormItem||{}).elFormItemSize;return this.size||_elFormItemSize||(this.$ELEMENT||{}).size;},tagSize:function tagSize(){return['small','mini'].indexOf(this.realSize)>-1?'mini':'small';},isDisabled:function isDisabled(){return this.disabled||(this.elForm||{}).disabled;},config:function config(){var config=this.props||{};var $attrs=this.$attrs;Object.keys(MigratingProps).forEach(function(oldProp){var _MigratingProps$oldPr=MigratingProps[oldProp],newProp=_MigratingProps$oldPr.newProp,type=_MigratingProps$oldPr.type;var oldValue=$attrs[oldProp]||$attrs[Object(util_[\"kebabCase\"])(oldProp)];if(Object(shared_[\"isDef\"])(oldProp)&&!Object(shared_[\"isDef\"])(config[newProp])){if(type===Boolean&&oldValue===''){oldValue=true;}config[newProp]=oldValue;}});return config;},multiple:function multiple(){return this.config.multiple;},leafOnly:function leafOnly(){return!this.config.checkStrictly;},readonly:function readonly(){return!this.filterable||this.multiple;},clearBtnVisible:function clearBtnVisible(){if(!this.clearable||this.isDisabled||this.filtering||!this.inputHover){return false;}return this.multiple?!!this.checkedNodes.filter(function(node){return!node.isDisabled;}).length:!!this.presentText;},panel:function panel(){return this.$refs.panel;}},watch:{disabled:function disabled(){this.computePresentContent();},value:function value(val){if(!Object(util_[\"isEqual\"])(val,this.checkedValue)){this.checkedValue=val;this.computePresentContent();}},checkedValue:function checkedValue(val){var value=this.value,dropDownVisible=this.dropDownVisible;var _config=this.config,checkStrictly=_config.checkStrictly,multiple=_config.multiple;if(!Object(util_[\"isEqual\"])(val,value)||Object(types_[\"isUndefined\"])(value)){this.computePresentContent();// hide dropdown when single mode\nif(!multiple&&!checkStrictly&&dropDownVisible){this.toggleDropDownVisible(false);}this.$emit('input',val);this.$emit('change',val);this.dispatch('ElFormItem','el.form.change',[val]);}},options:{handler:function handler(){this.$nextTick(this.computePresentContent);},deep:true},presentText:function presentText(val){this.inputValue=val;},presentTags:function presentTags(val,oldVal){if(this.multiple&&(val.length||oldVal.length)){this.$nextTick(this.updateStyle);}},filtering:function filtering(val){this.$nextTick(this.updatePopper);}},mounted:function mounted(){var _this=this;var input=this.$refs.input;if(input&&input.$el){this.inputInitialHeight=input.$el.offsetHeight||InputSizeMap[this.realSize]||40;}if(!this.isEmptyValue(this.value)){this.computePresentContent();}this.filterHandler=debounce_default()(this.debounce,function(){var inputValue=_this.inputValue;if(!inputValue){_this.filtering=false;return;}var before=_this.beforeFilter(inputValue);if(before&&before.then){before.then(_this.getSuggestions);}else if(before!==false){_this.getSuggestions();}else{_this.filtering=false;}});Object(resize_event_[\"addResizeListener\"])(this.$el,this.updateStyle);},beforeDestroy:function beforeDestroy(){Object(resize_event_[\"removeResizeListener\"])(this.$el,this.updateStyle);},methods:{getMigratingConfig:function getMigratingConfig(){return{props:{'expand-trigger':'expand-trigger is removed, use `props.expandTrigger` instead.','change-on-select':'change-on-select is removed, use `props.checkStrictly` instead.','hover-threshold':'hover-threshold is removed, use `props.hoverThreshold` instead'},events:{'active-item-change':'active-item-change is renamed to expand-change'}};},toggleDropDownVisible:function toggleDropDownVisible(visible){var _this2=this;if(this.isDisabled)return;var dropDownVisible=this.dropDownVisible;var input=this.$refs.input;visible=Object(shared_[\"isDef\"])(visible)?visible:!dropDownVisible;if(visible!==dropDownVisible){this.dropDownVisible=visible;if(visible){this.$nextTick(function(){_this2.updatePopper();_this2.panel.scrollIntoView();});}input.$refs.input.setAttribute('aria-expanded',visible);this.$emit('visible-change',visible);}},handleDropdownLeave:function handleDropdownLeave(){this.filtering=false;this.inputValue=this.presentText;this.doDestroy();},handleKeyDown:function handleKeyDown(event){switch(event.keyCode){case KeyCode.enter:this.toggleDropDownVisible();break;case KeyCode.down:this.toggleDropDownVisible(true);this.focusFirstNode();event.preventDefault();break;case KeyCode.esc:case KeyCode.tab:this.toggleDropDownVisible(false);break;}},handleFocus:function handleFocus(e){this.$emit('focus',e);},handleBlur:function handleBlur(e){this.$emit('blur',e);},handleInput:function handleInput(val,event){!this.dropDownVisible&&this.toggleDropDownVisible(true);if(event&&event.isComposing)return;if(val){this.filterHandler();}else{this.filtering=false;}},handleClear:function handleClear(){this.presentText='';this.panel.clearCheckedNodes();},handleExpandChange:function handleExpandChange(value){this.$nextTick(this.updatePopper.bind(this));this.$emit('expand-change',value);this.$emit('active-item-change',value);// Deprecated\n},focusFirstNode:function focusFirstNode(){var _this3=this;this.$nextTick(function(){var filtering=_this3.filtering;var _$refs=_this3.$refs,popper=_$refs.popper,suggestionPanel=_$refs.suggestionPanel;var firstNode=null;if(filtering&&suggestionPanel){firstNode=suggestionPanel.$el.querySelector('.el-cascader__suggestion-item');}else{var firstMenu=popper.querySelector('.el-cascader-menu');firstNode=firstMenu.querySelector('.el-cascader-node[tabindex=\"-1\"]');}if(firstNode){firstNode.focus();!filtering&&firstNode.click();}});},computePresentContent:function computePresentContent(){var _this4=this;// nextTick is required, because checked nodes may not change right now\nthis.$nextTick(function(){if(_this4.config.multiple){_this4.computePresentTags();_this4.presentText=_this4.presentTags.length?' ':null;}else{_this4.computePresentText();}});},isEmptyValue:function isEmptyValue(val){var multiple=this.multiple;var emitPath=this.panel.config.emitPath;if(multiple||emitPath){return Object(util_[\"isEmpty\"])(val);}return false;},computePresentText:function computePresentText(){var checkedValue=this.checkedValue,config=this.config;if(!this.isEmptyValue(checkedValue)){var node=this.panel.getNodeByValue(checkedValue);if(node&&(config.checkStrictly||node.isLeaf)){this.presentText=node.getText(this.showAllLevels,this.separator);return;}}this.presentText=null;},computePresentTags:function computePresentTags(){var isDisabled=this.isDisabled,leafOnly=this.leafOnly,showAllLevels=this.showAllLevels,separator=this.separator,collapseTags=this.collapseTags;var checkedNodes=this.getCheckedNodes(leafOnly);var tags=[];var genTag=function genTag(node){return{node:node,key:node.uid,text:node.getText(showAllLevels,separator),hitState:false,closable:!isDisabled&&!node.isDisabled};};if(checkedNodes.length){var first=checkedNodes[0],rest=checkedNodes.slice(1);var restCount=rest.length;tags.push(genTag(first));if(restCount){if(collapseTags){tags.push({key:-1,text:'+ '+restCount,closable:false});}else{rest.forEach(function(node){return tags.push(genTag(node));});}}}this.checkedNodes=checkedNodes;this.presentTags=tags;},getSuggestions:function getSuggestions(){var _this5=this;var filterMethod=this.filterMethod;if(!Object(types_[\"isFunction\"])(filterMethod)){filterMethod=function filterMethod(node,keyword){return node.text.includes(keyword);};}var suggestions=this.panel.getFlattedNodes(this.leafOnly).filter(function(node){if(node.isDisabled)return false;node.text=node.getText(_this5.showAllLevels,_this5.separator)||'';return filterMethod(node,_this5.inputValue);});if(this.multiple){this.presentTags.forEach(function(tag){tag.hitState=false;});}else{suggestions.forEach(function(node){node.checked=Object(util_[\"isEqual\"])(_this5.checkedValue,node.getValueByOption());});}this.filtering=true;this.suggestions=suggestions;this.$nextTick(this.updatePopper);},handleSuggestionKeyDown:function handleSuggestionKeyDown(event){var keyCode=event.keyCode,target=event.target;switch(keyCode){case KeyCode.enter:target.click();break;case KeyCode.up:var prev=target.previousElementSibling;prev&&prev.focus();break;case KeyCode.down:var next=target.nextElementSibling;next&&next.focus();break;case KeyCode.esc:case KeyCode.tab:this.toggleDropDownVisible(false);break;}},handleDelete:function handleDelete(){var inputValue=this.inputValue,pressDeleteCount=this.pressDeleteCount,presentTags=this.presentTags;var lastIndex=presentTags.length-1;var lastTag=presentTags[lastIndex];this.pressDeleteCount=inputValue?0:pressDeleteCount+1;if(!lastTag)return;if(this.pressDeleteCount){if(lastTag.hitState){this.deleteTag(lastTag);}else{lastTag.hitState=true;}}},handleSuggestionClick:function handleSuggestionClick(index){var multiple=this.multiple;var targetNode=this.suggestions[index];if(multiple){var checked=targetNode.checked;targetNode.doCheck(!checked);this.panel.calculateMultiCheckedValue();}else{this.checkedValue=targetNode.getValueByOption();this.toggleDropDownVisible(false);}},deleteTag:function deleteTag(tag){var checkedValue=this.checkedValue;var current=tag.node.getValueByOption();var val=checkedValue.find(function(n){return Object(util_[\"isEqual\"])(n,current);});this.checkedValue=checkedValue.filter(function(n){return!Object(util_[\"isEqual\"])(n,current);});this.$emit('remove-tag',val);},updateStyle:function updateStyle(){var $el=this.$el,inputInitialHeight=this.inputInitialHeight;if(this.$isServer||!$el)return;var suggestionPanel=this.$refs.suggestionPanel;var inputInner=$el.querySelector('.el-input__inner');if(!inputInner)return;var tags=$el.querySelector('.el-cascader__tags');var suggestionPanelEl=null;if(suggestionPanel&&(suggestionPanelEl=suggestionPanel.$el)){var suggestionList=suggestionPanelEl.querySelector('.el-cascader__suggestion-list');suggestionList.style.minWidth=inputInner.offsetWidth+'px';}if(tags){var offsetHeight=Math.round(tags.getBoundingClientRect().height);var height=Math.max(offsetHeight+6,inputInitialHeight)+'px';inputInner.style.height=height;if(this.dropDownVisible){this.updatePopper();}}},/**\n     * public methods\n    */getCheckedNodes:function getCheckedNodes(leafOnly){return this.panel.getCheckedNodes(leafOnly);}}};// CONCATENATED MODULE: ./packages/cascader/src/cascader.vue?vue&type=script&lang=js&\n/* harmony default export */var src_cascadervue_type_script_lang_js_=cascadervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/cascader/src/cascader.vue\n/* normalize component */var cascader_component=normalizeComponent(src_cascadervue_type_script_lang_js_,cascadervue_type_template_id_032537a6_render,cascadervue_type_template_id_032537a6_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var cascader_api; }cascader_component.options.__file=\"packages/cascader/src/cascader.vue\";/* harmony default export */var cascader=cascader_component.exports;// CONCATENATED MODULE: ./packages/cascader/index.js\n/* istanbul ignore next */cascader.install=function(Vue){Vue.component(cascader.name,cascader);};/* harmony default export */var packages_cascader=cascader;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/main.vue?vue&type=template&id=55c8ade7&\nvar mainvue_type_template_id_55c8ade7_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{directives:[{name:\"clickoutside\",rawName:\"v-clickoutside\",value:_vm.hide,expression:\"hide\"}],class:[\"el-color-picker\",_vm.colorDisabled?\"is-disabled\":\"\",_vm.colorSize?\"el-color-picker--\"+_vm.colorSize:\"\"]},[_vm.colorDisabled?_c(\"div\",{staticClass:\"el-color-picker__mask\"}):_vm._e(),_c(\"div\",{staticClass:\"el-color-picker__trigger\",on:{click:_vm.handleTrigger}},[_c(\"span\",{staticClass:\"el-color-picker__color\",class:{\"is-alpha\":_vm.showAlpha}},[_c(\"span\",{staticClass:\"el-color-picker__color-inner\",style:{backgroundColor:_vm.displayedColor}}),!_vm.value&&!_vm.showPanelColor?_c(\"span\",{staticClass:\"el-color-picker__empty el-icon-close\"}):_vm._e()]),_c(\"span\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.value||_vm.showPanelColor,expression:\"value || showPanelColor\"}],staticClass:\"el-color-picker__icon el-icon-arrow-down\"})]),_c(\"picker-dropdown\",{ref:\"dropdown\",class:[\"el-color-picker__panel\",_vm.popperClass||\"\"],attrs:{color:_vm.color,\"show-alpha\":_vm.showAlpha,predefine:_vm.predefine},on:{pick:_vm.confirmValue,clear:_vm.clearValue},model:{value:_vm.showPicker,callback:function($$v){_vm.showPicker=$$v;},expression:\"showPicker\"}})],1);};var mainvue_type_template_id_55c8ade7_staticRenderFns=[];mainvue_type_template_id_55c8ade7_render._withStripped=true;// CONCATENATED MODULE: ./packages/color-picker/src/main.vue?vue&type=template&id=55c8ade7&\n// CONCATENATED MODULE: ./packages/color-picker/src/color.js\nvar color_typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(obj){return typeof obj;}:function(obj){return obj&&typeof Symbol===\"function\"&&obj.constructor===Symbol&&obj!==Symbol.prototype?\"symbol\":typeof obj;};function color_classCallCheck(instance,Constructor){if(!(instance instanceof Constructor)){throw new TypeError(\"Cannot call a class as a function\");}}var hsv2hsl=function hsv2hsl(hue,sat,val){return[hue,sat*val/((hue=(2-sat)*val)<1?hue:2-hue)||0,hue/2];};// Need to handle 1.0 as 100%, since once it is a number, there is no difference between it and 1\n// <http://stackoverflow.com/questions/7422072/javascript-how-to-detect-number-as-a-decimal-including-1-0>\nvar isOnePointZero=function isOnePointZero(n){return typeof n==='string'&&n.indexOf('.')!==-1&&parseFloat(n)===1;};var isPercentage=function isPercentage(n){return typeof n==='string'&&n.indexOf('%')!==-1;};// Take input from [0, n] and return it as [0, 1]\nvar bound01=function bound01(value,max){if(isOnePointZero(value))value='100%';var processPercent=isPercentage(value);value=Math.min(max,Math.max(0,parseFloat(value)));// Automatically convert percentage into number\nif(processPercent){value=parseInt(value*max,10)/100;}// Handle floating point rounding errors\nif(Math.abs(value-max)<0.000001){return 1;}// Convert into [0, 1] range if it isn't already\nreturn value%max/parseFloat(max);};var INT_HEX_MAP={10:'A',11:'B',12:'C',13:'D',14:'E',15:'F'};var toHex=function toHex(_ref){var r=_ref.r,g=_ref.g,b=_ref.b;var hexOne=function hexOne(value){value=Math.min(Math.round(value),255);var high=Math.floor(value/16);var low=value%16;return''+(INT_HEX_MAP[high]||high)+(INT_HEX_MAP[low]||low);};if(isNaN(r)||isNaN(g)||isNaN(b))return'';return'#'+hexOne(r)+hexOne(g)+hexOne(b);};var HEX_INT_MAP={A:10,B:11,C:12,D:13,E:14,F:15};var parseHexChannel=function parseHexChannel(hex){if(hex.length===2){return(HEX_INT_MAP[hex[0].toUpperCase()]||+hex[0])*16+(HEX_INT_MAP[hex[1].toUpperCase()]||+hex[1]);}return HEX_INT_MAP[hex[1].toUpperCase()]||+hex[1];};var hsl2hsv=function hsl2hsv(hue,sat,light){sat=sat/100;light=light/100;var smin=sat;var lmin=Math.max(light,0.01);var sv=void 0;var v=void 0;light*=2;sat*=light<=1?light:2-light;smin*=lmin<=1?lmin:2-lmin;v=(light+sat)/2;sv=light===0?2*smin/(lmin+smin):2*sat/(light+sat);return{h:hue,s:sv*100,v:v*100};};// `rgbToHsv`\n// Converts an RGB color value to HSV\n// *Assumes:* r, g, and b are contained in the set [0, 255] or [0, 1]\n// *Returns:* { h, s, v } in [0,1]\nvar rgb2hsv=function rgb2hsv(r,g,b){r=bound01(r,255);g=bound01(g,255);b=bound01(b,255);var max=Math.max(r,g,b);var min=Math.min(r,g,b);var h=void 0,s=void 0;var v=max;var d=max-min;s=max===0?0:d/max;if(max===min){h=0;// achromatic\n}else{switch(max){case r:h=(g-b)/d+(g<b?6:0);break;case g:h=(b-r)/d+2;break;case b:h=(r-g)/d+4;break;}h/=6;}return{h:h*360,s:s*100,v:v*100};};// `hsvToRgb`\n// Converts an HSV color value to RGB.\n// *Assumes:* h is contained in [0, 1] or [0, 360] and s and v are contained in [0, 1] or [0, 100]\n// *Returns:* { r, g, b } in the set [0, 255]\nvar hsv2rgb=function hsv2rgb(h,s,v){h=bound01(h,360)*6;s=bound01(s,100);v=bound01(v,100);var i=Math.floor(h);var f=h-i;var p=v*(1-s);var q=v*(1-f*s);var t=v*(1-(1-f)*s);var mod=i%6;var r=[v,q,p,p,t,v][mod];var g=[t,v,v,q,p,p][mod];var b=[p,p,t,v,v,q][mod];return{r:Math.round(r*255),g:Math.round(g*255),b:Math.round(b*255)};};var Color=function(){function Color(options){color_classCallCheck(this,Color);this._hue=0;this._saturation=100;this._value=100;this._alpha=100;this.enableAlpha=false;this.format='hex';this.value='';options=options||{};for(var option in options){if(options.hasOwnProperty(option)){this[option]=options[option];}}this.doOnChange();}Color.prototype.set=function set(prop,value){if(arguments.length===1&&(typeof prop==='undefined'?'undefined':color_typeof(prop))==='object'){for(var p in prop){if(prop.hasOwnProperty(p)){this.set(p,prop[p]);}}return;}this['_'+prop]=value;this.doOnChange();};Color.prototype.get=function get(prop){return this['_'+prop];};Color.prototype.toRgb=function toRgb(){return hsv2rgb(this._hue,this._saturation,this._value);};Color.prototype.fromString=function fromString(value){var _this=this;if(!value){this._hue=0;this._saturation=100;this._value=100;this.doOnChange();return;}var fromHSV=function fromHSV(h,s,v){_this._hue=Math.max(0,Math.min(360,h));_this._saturation=Math.max(0,Math.min(100,s));_this._value=Math.max(0,Math.min(100,v));_this.doOnChange();};if(value.indexOf('hsl')!==-1){var parts=value.replace(/hsla|hsl|\\(|\\)/gm,'').split(/\\s|,/g).filter(function(val){return val!=='';}).map(function(val,index){return index>2?parseFloat(val):parseInt(val,10);});if(parts.length===4){this._alpha=Math.floor(parseFloat(parts[3])*100);}else if(parts.length===3){this._alpha=100;}if(parts.length>=3){var _hsl2hsv=hsl2hsv(parts[0],parts[1],parts[2]),h=_hsl2hsv.h,s=_hsl2hsv.s,v=_hsl2hsv.v;fromHSV(h,s,v);}}else if(value.indexOf('hsv')!==-1){var _parts=value.replace(/hsva|hsv|\\(|\\)/gm,'').split(/\\s|,/g).filter(function(val){return val!=='';}).map(function(val,index){return index>2?parseFloat(val):parseInt(val,10);});if(_parts.length===4){this._alpha=Math.floor(parseFloat(_parts[3])*100);}else if(_parts.length===3){this._alpha=100;}if(_parts.length>=3){fromHSV(_parts[0],_parts[1],_parts[2]);}}else if(value.indexOf('rgb')!==-1){var _parts2=value.replace(/rgba|rgb|\\(|\\)/gm,'').split(/\\s|,/g).filter(function(val){return val!=='';}).map(function(val,index){return index>2?parseFloat(val):parseInt(val,10);});if(_parts2.length===4){this._alpha=Math.floor(parseFloat(_parts2[3])*100);}else if(_parts2.length===3){this._alpha=100;}if(_parts2.length>=3){var _rgb2hsv=rgb2hsv(_parts2[0],_parts2[1],_parts2[2]),_h=_rgb2hsv.h,_s=_rgb2hsv.s,_v=_rgb2hsv.v;fromHSV(_h,_s,_v);}}else if(value.indexOf('#')!==-1){var hex=value.replace('#','').trim();if(!/^(?:[0-9a-fA-F]{3}){1,2}|[0-9a-fA-F]{8}$/.test(hex))return;var r=void 0,g=void 0,b=void 0;if(hex.length===3){r=parseHexChannel(hex[0]+hex[0]);g=parseHexChannel(hex[1]+hex[1]);b=parseHexChannel(hex[2]+hex[2]);}else if(hex.length===6||hex.length===8){r=parseHexChannel(hex.substring(0,2));g=parseHexChannel(hex.substring(2,4));b=parseHexChannel(hex.substring(4,6));}if(hex.length===8){this._alpha=Math.floor(parseHexChannel(hex.substring(6))/255*100);}else if(hex.length===3||hex.length===6){this._alpha=100;}var _rgb2hsv2=rgb2hsv(r,g,b),_h2=_rgb2hsv2.h,_s2=_rgb2hsv2.s,_v2=_rgb2hsv2.v;fromHSV(_h2,_s2,_v2);}};Color.prototype.compare=function compare(color){return Math.abs(color._hue-this._hue)<2&&Math.abs(color._saturation-this._saturation)<1&&Math.abs(color._value-this._value)<1&&Math.abs(color._alpha-this._alpha)<1;};Color.prototype.doOnChange=function doOnChange(){var _hue=this._hue,_saturation=this._saturation,_value=this._value,_alpha=this._alpha,format=this.format;if(this.enableAlpha){switch(format){case'hsl':var hsl=hsv2hsl(_hue,_saturation/100,_value/100);this.value='hsla('+_hue+', '+Math.round(hsl[1]*100)+'%, '+Math.round(hsl[2]*100)+'%, '+_alpha/100+')';break;case'hsv':this.value='hsva('+_hue+', '+Math.round(_saturation)+'%, '+Math.round(_value)+'%, '+_alpha/100+')';break;default:var _hsv2rgb=hsv2rgb(_hue,_saturation,_value),r=_hsv2rgb.r,g=_hsv2rgb.g,b=_hsv2rgb.b;this.value='rgba('+r+', '+g+', '+b+', '+_alpha/100+')';}}else{switch(format){case'hsl':var _hsl=hsv2hsl(_hue,_saturation/100,_value/100);this.value='hsl('+_hue+', '+Math.round(_hsl[1]*100)+'%, '+Math.round(_hsl[2]*100)+'%)';break;case'hsv':this.value='hsv('+_hue+', '+Math.round(_saturation)+'%, '+Math.round(_value)+'%)';break;case'rgb':var _hsv2rgb2=hsv2rgb(_hue,_saturation,_value),_r=_hsv2rgb2.r,_g=_hsv2rgb2.g,_b=_hsv2rgb2.b;this.value='rgb('+_r+', '+_g+', '+_b+')';break;default:this.value=toHex(hsv2rgb(_hue,_saturation,_value));}}};return Color;}();/* harmony default export */var src_color=Color;;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/picker-dropdown.vue?vue&type=template&id=06601625&\nvar picker_dropdownvue_type_template_id_06601625_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-zoom-in-top\"},on:{\"after-leave\":_vm.doDestroy}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.showPopper,expression:\"showPopper\"}],staticClass:\"el-color-dropdown\"},[_c(\"div\",{staticClass:\"el-color-dropdown__main-wrapper\"},[_c(\"hue-slider\",{ref:\"hue\",staticStyle:{float:\"right\"},attrs:{color:_vm.color,vertical:\"\"}}),_c(\"sv-panel\",{ref:\"sl\",attrs:{color:_vm.color}})],1),_vm.showAlpha?_c(\"alpha-slider\",{ref:\"alpha\",attrs:{color:_vm.color}}):_vm._e(),_vm.predefine?_c(\"predefine\",{attrs:{color:_vm.color,colors:_vm.predefine}}):_vm._e(),_c(\"div\",{staticClass:\"el-color-dropdown__btns\"},[_c(\"span\",{staticClass:\"el-color-dropdown__value\"},[_c(\"el-input\",{attrs:{\"validate-event\":false,size:\"mini\"},on:{blur:_vm.handleConfirm},nativeOn:{keyup:function($event){if(!(\"button\"in $event)&&_vm._k($event.keyCode,\"enter\",13,$event.key,\"Enter\")){return null;}return _vm.handleConfirm($event);}},model:{value:_vm.customInput,callback:function($$v){_vm.customInput=$$v;},expression:\"customInput\"}})],1),_c(\"el-button\",{staticClass:\"el-color-dropdown__link-btn\",attrs:{size:\"mini\",type:\"text\"},on:{click:function($event){_vm.$emit(\"clear\");}}},[_vm._v(\"\\n        \"+_vm._s(_vm.t(\"el.colorpicker.clear\"))+\"\\n      \")]),_c(\"el-button\",{staticClass:\"el-color-dropdown__btn\",attrs:{plain:\"\",size:\"mini\"},on:{click:_vm.confirmValue}},[_vm._v(\"\\n        \"+_vm._s(_vm.t(\"el.colorpicker.confirm\"))+\"\\n      \")])],1)],1)]);};var picker_dropdownvue_type_template_id_06601625_staticRenderFns=[];picker_dropdownvue_type_template_id_06601625_render._withStripped=true;// CONCATENATED MODULE: ./packages/color-picker/src/components/picker-dropdown.vue?vue&type=template&id=06601625&\n// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/sv-panel.vue?vue&type=template&id=d8583596&\nvar sv_panelvue_type_template_id_d8583596_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-color-svpanel\",style:{backgroundColor:_vm.background}},[_c(\"div\",{staticClass:\"el-color-svpanel__white\"}),_c(\"div\",{staticClass:\"el-color-svpanel__black\"}),_c(\"div\",{staticClass:\"el-color-svpanel__cursor\",style:{top:_vm.cursorTop+\"px\",left:_vm.cursorLeft+\"px\"}},[_c(\"div\")])]);};var sv_panelvue_type_template_id_d8583596_staticRenderFns=[];sv_panelvue_type_template_id_d8583596_render._withStripped=true;// CONCATENATED MODULE: ./packages/color-picker/src/components/sv-panel.vue?vue&type=template&id=d8583596&\n// CONCATENATED MODULE: ./packages/color-picker/src/draggable.js\nvar isDragging=false;/* harmony default export */var draggable=function(element,options){if(external_vue_default.a.prototype.$isServer)return;var moveFn=function moveFn(event){if(options.drag){options.drag(event);}};var upFn=function upFn(event){document.removeEventListener('mousemove',moveFn);document.removeEventListener('mouseup',upFn);document.onselectstart=null;document.ondragstart=null;isDragging=false;if(options.end){options.end(event);}};element.addEventListener('mousedown',function(event){if(isDragging)return;document.onselectstart=function(){return false;};document.ondragstart=function(){return false;};document.addEventListener('mousemove',moveFn);document.addEventListener('mouseup',upFn);isDragging=true;if(options.start){options.start(event);}});};// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/sv-panel.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var sv_panelvue_type_script_lang_js_={name:'el-sl-panel',props:{color:{required:true}},computed:{colorValue:function colorValue(){var hue=this.color.get('hue');var value=this.color.get('value');return{hue:hue,value:value};}},watch:{colorValue:function colorValue(){this.update();}},methods:{update:function update(){var saturation=this.color.get('saturation');var value=this.color.get('value');var el=this.$el;var width=el.clientWidth,height=el.clientHeight;this.cursorLeft=saturation*width/100;this.cursorTop=(100-value)*height/100;this.background='hsl('+this.color.get('hue')+', 100%, 50%)';},handleDrag:function handleDrag(event){var el=this.$el;var rect=el.getBoundingClientRect();var left=event.clientX-rect.left;var top=event.clientY-rect.top;left=Math.max(0,left);left=Math.min(left,rect.width);top=Math.max(0,top);top=Math.min(top,rect.height);this.cursorLeft=left;this.cursorTop=top;this.color.set({saturation:left/rect.width*100,value:100-top/rect.height*100});}},mounted:function mounted(){var _this=this;draggable(this.$el,{drag:function drag(event){_this.handleDrag(event);},end:function end(event){_this.handleDrag(event);}});this.update();},data:function data(){return{cursorTop:0,cursorLeft:0,background:'hsl(0, 100%, 50%)'};}};// CONCATENATED MODULE: ./packages/color-picker/src/components/sv-panel.vue?vue&type=script&lang=js&\n/* harmony default export */var components_sv_panelvue_type_script_lang_js_=sv_panelvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/color-picker/src/components/sv-panel.vue\n/* normalize component */var sv_panel_component=normalizeComponent(components_sv_panelvue_type_script_lang_js_,sv_panelvue_type_template_id_d8583596_render,sv_panelvue_type_template_id_d8583596_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var sv_panel_api; }sv_panel_component.options.__file=\"packages/color-picker/src/components/sv-panel.vue\";/* harmony default export */var sv_panel=sv_panel_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/hue-slider.vue?vue&type=template&id=5cdc43b1&\nvar hue_slidervue_type_template_id_5cdc43b1_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-color-hue-slider\",class:{\"is-vertical\":_vm.vertical}},[_c(\"div\",{ref:\"bar\",staticClass:\"el-color-hue-slider__bar\",on:{click:_vm.handleClick}}),_c(\"div\",{ref:\"thumb\",staticClass:\"el-color-hue-slider__thumb\",style:{left:_vm.thumbLeft+\"px\",top:_vm.thumbTop+\"px\"}})]);};var hue_slidervue_type_template_id_5cdc43b1_staticRenderFns=[];hue_slidervue_type_template_id_5cdc43b1_render._withStripped=true;// CONCATENATED MODULE: ./packages/color-picker/src/components/hue-slider.vue?vue&type=template&id=5cdc43b1&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/hue-slider.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var hue_slidervue_type_script_lang_js_={name:'el-color-hue-slider',props:{color:{required:true},vertical:Boolean},data:function data(){return{thumbLeft:0,thumbTop:0};},computed:{hueValue:function hueValue(){var hue=this.color.get('hue');return hue;}},watch:{hueValue:function hueValue(){this.update();}},methods:{handleClick:function handleClick(event){var thumb=this.$refs.thumb;var target=event.target;if(target!==thumb){this.handleDrag(event);}},handleDrag:function handleDrag(event){var rect=this.$el.getBoundingClientRect();var thumb=this.$refs.thumb;var hue=void 0;if(!this.vertical){var left=event.clientX-rect.left;left=Math.min(left,rect.width-thumb.offsetWidth/2);left=Math.max(thumb.offsetWidth/2,left);hue=Math.round((left-thumb.offsetWidth/2)/(rect.width-thumb.offsetWidth)*360);}else{var top=event.clientY-rect.top;top=Math.min(top,rect.height-thumb.offsetHeight/2);top=Math.max(thumb.offsetHeight/2,top);hue=Math.round((top-thumb.offsetHeight/2)/(rect.height-thumb.offsetHeight)*360);}this.color.set('hue',hue);},getThumbLeft:function getThumbLeft(){if(this.vertical)return 0;var el=this.$el;var hue=this.color.get('hue');if(!el)return 0;var thumb=this.$refs.thumb;return Math.round(hue*(el.offsetWidth-thumb.offsetWidth/2)/360);},getThumbTop:function getThumbTop(){if(!this.vertical)return 0;var el=this.$el;var hue=this.color.get('hue');if(!el)return 0;var thumb=this.$refs.thumb;return Math.round(hue*(el.offsetHeight-thumb.offsetHeight/2)/360);},update:function update(){this.thumbLeft=this.getThumbLeft();this.thumbTop=this.getThumbTop();}},mounted:function mounted(){var _this=this;var _$refs=this.$refs,bar=_$refs.bar,thumb=_$refs.thumb;var dragConfig={drag:function drag(event){_this.handleDrag(event);},end:function end(event){_this.handleDrag(event);}};draggable(bar,dragConfig);draggable(thumb,dragConfig);this.update();}};// CONCATENATED MODULE: ./packages/color-picker/src/components/hue-slider.vue?vue&type=script&lang=js&\n/* harmony default export */var components_hue_slidervue_type_script_lang_js_=hue_slidervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/color-picker/src/components/hue-slider.vue\n/* normalize component */var hue_slider_component=normalizeComponent(components_hue_slidervue_type_script_lang_js_,hue_slidervue_type_template_id_5cdc43b1_render,hue_slidervue_type_template_id_5cdc43b1_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var hue_slider_api; }hue_slider_component.options.__file=\"packages/color-picker/src/components/hue-slider.vue\";/* harmony default export */var hue_slider=hue_slider_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/alpha-slider.vue?vue&type=template&id=068c66cb&\nvar alpha_slidervue_type_template_id_068c66cb_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-color-alpha-slider\",class:{\"is-vertical\":_vm.vertical}},[_c(\"div\",{ref:\"bar\",staticClass:\"el-color-alpha-slider__bar\",style:{background:_vm.background},on:{click:_vm.handleClick}}),_c(\"div\",{ref:\"thumb\",staticClass:\"el-color-alpha-slider__thumb\",style:{left:_vm.thumbLeft+\"px\",top:_vm.thumbTop+\"px\"}})]);};var alpha_slidervue_type_template_id_068c66cb_staticRenderFns=[];alpha_slidervue_type_template_id_068c66cb_render._withStripped=true;// CONCATENATED MODULE: ./packages/color-picker/src/components/alpha-slider.vue?vue&type=template&id=068c66cb&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/alpha-slider.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var alpha_slidervue_type_script_lang_js_={name:'el-color-alpha-slider',props:{color:{required:true},vertical:Boolean},watch:{'color._alpha':function color_alpha(){this.update();},'color.value':function colorValue(){this.update();}},methods:{handleClick:function handleClick(event){var thumb=this.$refs.thumb;var target=event.target;if(target!==thumb){this.handleDrag(event);}},handleDrag:function handleDrag(event){var rect=this.$el.getBoundingClientRect();var thumb=this.$refs.thumb;if(!this.vertical){var left=event.clientX-rect.left;left=Math.max(thumb.offsetWidth/2,left);left=Math.min(left,rect.width-thumb.offsetWidth/2);this.color.set('alpha',Math.round((left-thumb.offsetWidth/2)/(rect.width-thumb.offsetWidth)*100));}else{var top=event.clientY-rect.top;top=Math.max(thumb.offsetHeight/2,top);top=Math.min(top,rect.height-thumb.offsetHeight/2);this.color.set('alpha',Math.round((top-thumb.offsetHeight/2)/(rect.height-thumb.offsetHeight)*100));}},getThumbLeft:function getThumbLeft(){if(this.vertical)return 0;var el=this.$el;var alpha=this.color._alpha;if(!el)return 0;var thumb=this.$refs.thumb;return Math.round(alpha*(el.offsetWidth-thumb.offsetWidth/2)/100);},getThumbTop:function getThumbTop(){if(!this.vertical)return 0;var el=this.$el;var alpha=this.color._alpha;if(!el)return 0;var thumb=this.$refs.thumb;return Math.round(alpha*(el.offsetHeight-thumb.offsetHeight/2)/100);},getBackground:function getBackground(){if(this.color&&this.color.value){var _color$toRgb=this.color.toRgb(),r=_color$toRgb.r,g=_color$toRgb.g,b=_color$toRgb.b;return'linear-gradient(to right, rgba('+r+', '+g+', '+b+', 0) 0%, rgba('+r+', '+g+', '+b+', 1) 100%)';}return null;},update:function update(){this.thumbLeft=this.getThumbLeft();this.thumbTop=this.getThumbTop();this.background=this.getBackground();}},data:function data(){return{thumbLeft:0,thumbTop:0,background:null};},mounted:function mounted(){var _this=this;var _$refs=this.$refs,bar=_$refs.bar,thumb=_$refs.thumb;var dragConfig={drag:function drag(event){_this.handleDrag(event);},end:function end(event){_this.handleDrag(event);}};draggable(bar,dragConfig);draggable(thumb,dragConfig);this.update();}};// CONCATENATED MODULE: ./packages/color-picker/src/components/alpha-slider.vue?vue&type=script&lang=js&\n/* harmony default export */var components_alpha_slidervue_type_script_lang_js_=alpha_slidervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/color-picker/src/components/alpha-slider.vue\n/* normalize component */var alpha_slider_component=normalizeComponent(components_alpha_slidervue_type_script_lang_js_,alpha_slidervue_type_template_id_068c66cb_render,alpha_slidervue_type_template_id_068c66cb_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var alpha_slider_api; }alpha_slider_component.options.__file=\"packages/color-picker/src/components/alpha-slider.vue\";/* harmony default export */var alpha_slider=alpha_slider_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/predefine.vue?vue&type=template&id=06e03093&\nvar predefinevue_type_template_id_06e03093_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-color-predefine\"},[_c(\"div\",{staticClass:\"el-color-predefine__colors\"},_vm._l(_vm.rgbaColors,function(item,index){return _c(\"div\",{key:_vm.colors[index],staticClass:\"el-color-predefine__color-selector\",class:{selected:item.selected,\"is-alpha\":item._alpha<100},on:{click:function($event){_vm.handleSelect(index);}}},[_c(\"div\",{style:{\"background-color\":item.value}})]);}),0)]);};var predefinevue_type_template_id_06e03093_staticRenderFns=[];predefinevue_type_template_id_06e03093_render._withStripped=true;// CONCATENATED MODULE: ./packages/color-picker/src/components/predefine.vue?vue&type=template&id=06e03093&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/predefine.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var predefinevue_type_script_lang_js_={props:{colors:{type:Array,required:true},color:{required:true}},data:function data(){return{rgbaColors:this.parseColors(this.colors,this.color)};},methods:{handleSelect:function handleSelect(index){this.color.fromString(this.colors[index]);},parseColors:function parseColors(colors,color){return colors.map(function(value){var c=new src_color();c.enableAlpha=true;c.format='rgba';c.fromString(value);c.selected=c.value===color.value;return c;});}},watch:{'$parent.currentColor':function $parentCurrentColor(val){var color=new src_color();color.fromString(val);this.rgbaColors.forEach(function(item){item.selected=color.compare(item);});},colors:function colors(newVal){this.rgbaColors=this.parseColors(newVal,this.color);},color:function color(newVal){this.rgbaColors=this.parseColors(this.colors,newVal);}}};// CONCATENATED MODULE: ./packages/color-picker/src/components/predefine.vue?vue&type=script&lang=js&\n/* harmony default export */var components_predefinevue_type_script_lang_js_=predefinevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/color-picker/src/components/predefine.vue\n/* normalize component */var predefine_component=normalizeComponent(components_predefinevue_type_script_lang_js_,predefinevue_type_template_id_06e03093_render,predefinevue_type_template_id_06e03093_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var predefine_api; }predefine_component.options.__file=\"packages/color-picker/src/components/predefine.vue\";/* harmony default export */var predefine=predefine_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/components/picker-dropdown.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var picker_dropdownvue_type_script_lang_js_={name:'el-color-picker-dropdown',mixins:[vue_popper_default.a,locale_default.a],components:{SvPanel:sv_panel,HueSlider:hue_slider,AlphaSlider:alpha_slider,ElInput:input_default.a,ElButton:button_default.a,Predefine:predefine},props:{color:{required:true},showAlpha:Boolean,predefine:Array},data:function data(){return{customInput:''};},computed:{currentColor:function currentColor(){var parent=this.$parent;return!parent.value&&!parent.showPanelColor?'':parent.color.value;}},methods:{confirmValue:function confirmValue(){this.$emit('pick');},handleConfirm:function handleConfirm(){this.color.fromString(this.customInput);}},mounted:function mounted(){this.$parent.popperElm=this.popperElm=this.$el;this.referenceElm=this.$parent.$el;},watch:{showPopper:function showPopper(val){var _this=this;if(val===true){this.$nextTick(function(){var _$refs=_this.$refs,sl=_$refs.sl,hue=_$refs.hue,alpha=_$refs.alpha;sl&&sl.update();hue&&hue.update();alpha&&alpha.update();});}},currentColor:{immediate:true,handler:function handler(val){this.customInput=val;}}}};// CONCATENATED MODULE: ./packages/color-picker/src/components/picker-dropdown.vue?vue&type=script&lang=js&\n/* harmony default export */var components_picker_dropdownvue_type_script_lang_js_=picker_dropdownvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/color-picker/src/components/picker-dropdown.vue\n/* normalize component */var picker_dropdown_component=normalizeComponent(components_picker_dropdownvue_type_script_lang_js_,picker_dropdownvue_type_template_id_06601625_render,picker_dropdownvue_type_template_id_06601625_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var picker_dropdown_api; }picker_dropdown_component.options.__file=\"packages/color-picker/src/components/picker-dropdown.vue\";/* harmony default export */var picker_dropdown=picker_dropdown_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/color-picker/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var color_picker_src_mainvue_type_script_lang_js_={name:'ElColorPicker',mixins:[emitter_default.a],props:{value:String,showAlpha:Boolean,colorFormat:String,disabled:Boolean,size:String,popperClass:String,predefine:Array},inject:{elForm:{default:''},elFormItem:{default:''}},directives:{Clickoutside:clickoutside_default.a},computed:{displayedColor:function displayedColor(){if(!this.value&&!this.showPanelColor){return'transparent';}return this.displayedRgb(this.color,this.showAlpha);},_elFormItemSize:function _elFormItemSize(){return(this.elFormItem||{}).elFormItemSize;},colorSize:function colorSize(){return this.size||this._elFormItemSize||(this.$ELEMENT||{}).size;},colorDisabled:function colorDisabled(){return this.disabled||(this.elForm||{}).disabled;}},watch:{value:function value(val){if(!val){this.showPanelColor=false;}else if(val&&val!==this.color.value){this.color.fromString(val);}},color:{deep:true,handler:function handler(){this.showPanelColor=true;}},displayedColor:function displayedColor(val){if(!this.showPicker)return;var currentValueColor=new src_color({enableAlpha:this.showAlpha,format:this.colorFormat});currentValueColor.fromString(this.value);var currentValueColorRgb=this.displayedRgb(currentValueColor,this.showAlpha);if(val!==currentValueColorRgb){this.$emit('active-change',val);}}},methods:{handleTrigger:function handleTrigger(){if(this.colorDisabled)return;this.showPicker=!this.showPicker;},confirmValue:function confirmValue(){var value=this.color.value;this.$emit('input',value);this.$emit('change',value);this.dispatch('ElFormItem','el.form.change',value);this.showPicker=false;},clearValue:function clearValue(){this.$emit('input',null);this.$emit('change',null);if(this.value!==null){this.dispatch('ElFormItem','el.form.change',null);}this.showPanelColor=false;this.showPicker=false;this.resetColor();},hide:function hide(){this.showPicker=false;this.resetColor();},resetColor:function resetColor(){var _this=this;this.$nextTick(function(_){if(_this.value){_this.color.fromString(_this.value);}else{_this.showPanelColor=false;}});},displayedRgb:function displayedRgb(color,showAlpha){if(!(color instanceof src_color)){throw Error('color should be instance of Color Class');}var _color$toRgb=color.toRgb(),r=_color$toRgb.r,g=_color$toRgb.g,b=_color$toRgb.b;return showAlpha?'rgba('+r+', '+g+', '+b+', '+color.get('alpha')/100+')':'rgb('+r+', '+g+', '+b+')';}},mounted:function mounted(){var value=this.value;if(value){this.color.fromString(value);}this.popperElm=this.$refs.dropdown.$el;},data:function data(){var color=new src_color({enableAlpha:this.showAlpha,format:this.colorFormat});return{color:color,showPicker:false,showPanelColor:false};},components:{PickerDropdown:picker_dropdown}};// CONCATENATED MODULE: ./packages/color-picker/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_color_picker_src_mainvue_type_script_lang_js_=color_picker_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/color-picker/src/main.vue\n/* normalize component */var color_picker_src_main_component=normalizeComponent(packages_color_picker_src_mainvue_type_script_lang_js_,mainvue_type_template_id_55c8ade7_render,mainvue_type_template_id_55c8ade7_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var color_picker_src_main_api; }color_picker_src_main_component.options.__file=\"packages/color-picker/src/main.vue\";/* harmony default export */var color_picker_src_main=color_picker_src_main_component.exports;// CONCATENATED MODULE: ./packages/color-picker/index.js\n/* istanbul ignore next */color_picker_src_main.install=function(Vue){Vue.component(color_picker_src_main.name,color_picker_src_main);};/* harmony default export */var color_picker=color_picker_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/transfer/src/main.vue?vue&type=template&id=5c654dd8&\nvar mainvue_type_template_id_5c654dd8_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-transfer\"},[_c(\"transfer-panel\",_vm._b({ref:\"leftPanel\",attrs:{data:_vm.sourceData,title:_vm.titles[0]||_vm.t(\"el.transfer.titles.0\"),\"default-checked\":_vm.leftDefaultChecked,placeholder:_vm.filterPlaceholder||_vm.t(\"el.transfer.filterPlaceholder\")},on:{\"checked-change\":_vm.onSourceCheckedChange}},\"transfer-panel\",_vm.$props,false),[_vm._t(\"left-footer\")],2),_c(\"div\",{staticClass:\"el-transfer__buttons\"},[_c(\"el-button\",{class:[\"el-transfer__button\",_vm.hasButtonTexts?\"is-with-texts\":\"\"],attrs:{type:\"primary\",disabled:_vm.rightChecked.length===0},nativeOn:{click:function($event){return _vm.addToLeft($event);}}},[_c(\"i\",{staticClass:\"el-icon-arrow-left\"}),_vm.buttonTexts[0]!==undefined?_c(\"span\",[_vm._v(_vm._s(_vm.buttonTexts[0]))]):_vm._e()]),_c(\"el-button\",{class:[\"el-transfer__button\",_vm.hasButtonTexts?\"is-with-texts\":\"\"],attrs:{type:\"primary\",disabled:_vm.leftChecked.length===0},nativeOn:{click:function($event){return _vm.addToRight($event);}}},[_vm.buttonTexts[1]!==undefined?_c(\"span\",[_vm._v(_vm._s(_vm.buttonTexts[1]))]):_vm._e(),_c(\"i\",{staticClass:\"el-icon-arrow-right\"})])],1),_c(\"transfer-panel\",_vm._b({ref:\"rightPanel\",attrs:{data:_vm.targetData,title:_vm.titles[1]||_vm.t(\"el.transfer.titles.1\"),\"default-checked\":_vm.rightDefaultChecked,placeholder:_vm.filterPlaceholder||_vm.t(\"el.transfer.filterPlaceholder\")},on:{\"checked-change\":_vm.onTargetCheckedChange}},\"transfer-panel\",_vm.$props,false),[_vm._t(\"right-footer\")],2)],1);};var mainvue_type_template_id_5c654dd8_staticRenderFns=[];mainvue_type_template_id_5c654dd8_render._withStripped=true;// CONCATENATED MODULE: ./packages/transfer/src/main.vue?vue&type=template&id=5c654dd8&\n// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/transfer/src/transfer-panel.vue?vue&type=template&id=2ddab8bd&\nvar transfer_panelvue_type_template_id_2ddab8bd_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-transfer-panel\"},[_c(\"p\",{staticClass:\"el-transfer-panel__header\"},[_c(\"el-checkbox\",{attrs:{indeterminate:_vm.isIndeterminate},on:{change:_vm.handleAllCheckedChange},model:{value:_vm.allChecked,callback:function($$v){_vm.allChecked=$$v;},expression:\"allChecked\"}},[_vm._v(\"\\n      \"+_vm._s(_vm.title)+\"\\n      \"),_c(\"span\",[_vm._v(_vm._s(_vm.checkedSummary))])])],1),_c(\"div\",{class:[\"el-transfer-panel__body\",_vm.hasFooter?\"is-with-footer\":\"\"]},[_vm.filterable?_c(\"el-input\",{staticClass:\"el-transfer-panel__filter\",attrs:{size:\"small\",placeholder:_vm.placeholder},nativeOn:{mouseenter:function($event){_vm.inputHover=true;},mouseleave:function($event){_vm.inputHover=false;}},model:{value:_vm.query,callback:function($$v){_vm.query=$$v;},expression:\"query\"}},[_c(\"i\",{class:[\"el-input__icon\",\"el-icon-\"+_vm.inputIcon],attrs:{slot:\"prefix\"},on:{click:_vm.clearQuery},slot:\"prefix\"})]):_vm._e(),_c(\"el-checkbox-group\",{directives:[{name:\"show\",rawName:\"v-show\",value:!_vm.hasNoMatch&&_vm.data.length>0,expression:\"!hasNoMatch && data.length > 0\"}],staticClass:\"el-transfer-panel__list\",class:{\"is-filterable\":_vm.filterable},model:{value:_vm.checked,callback:function($$v){_vm.checked=$$v;},expression:\"checked\"}},_vm._l(_vm.filteredData,function(item){return _c(\"el-checkbox\",{key:item[_vm.keyProp],staticClass:\"el-transfer-panel__item\",attrs:{label:item[_vm.keyProp],disabled:item[_vm.disabledProp]}},[_c(\"option-content\",{attrs:{option:item}})],1);}),1),_c(\"p\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.hasNoMatch,expression:\"hasNoMatch\"}],staticClass:\"el-transfer-panel__empty\"},[_vm._v(_vm._s(_vm.t(\"el.transfer.noMatch\")))]),_c(\"p\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.data.length===0&&!_vm.hasNoMatch,expression:\"data.length === 0 && !hasNoMatch\"}],staticClass:\"el-transfer-panel__empty\"},[_vm._v(_vm._s(_vm.t(\"el.transfer.noData\")))])],1),_vm.hasFooter?_c(\"p\",{staticClass:\"el-transfer-panel__footer\"},[_vm._t(\"default\")],2):_vm._e()]);};var transfer_panelvue_type_template_id_2ddab8bd_staticRenderFns=[];transfer_panelvue_type_template_id_2ddab8bd_render._withStripped=true;// CONCATENATED MODULE: ./packages/transfer/src/transfer-panel.vue?vue&type=template&id=2ddab8bd&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/transfer/src/transfer-panel.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var transfer_panelvue_type_script_lang_js_={mixins:[locale_default.a],name:'ElTransferPanel',componentName:'ElTransferPanel',components:{ElCheckboxGroup:checkbox_group_default.a,ElCheckbox:checkbox_default.a,ElInput:input_default.a,OptionContent:{props:{option:Object},render:function render(h){var getParent=function getParent(vm){if(vm.$options.componentName==='ElTransferPanel'){return vm;}else if(vm.$parent){return getParent(vm.$parent);}else{return vm;}};var panel=getParent(this);var transfer=panel.$parent||panel;return panel.renderContent?panel.renderContent(h,this.option):transfer.$scopedSlots.default?transfer.$scopedSlots.default({option:this.option}):h('span',[this.option[panel.labelProp]||this.option[panel.keyProp]]);}}},props:{data:{type:Array,default:function _default(){return[];}},renderContent:Function,placeholder:String,title:String,filterable:Boolean,format:Object,filterMethod:Function,defaultChecked:Array,props:Object},data:function data(){return{checked:[],allChecked:false,query:'',inputHover:false,checkChangeByUser:true};},watch:{checked:function checked(val,oldVal){this.updateAllChecked();if(this.checkChangeByUser){var movedKeys=val.concat(oldVal).filter(function(v){return val.indexOf(v)===-1||oldVal.indexOf(v)===-1;});this.$emit('checked-change',val,movedKeys);}else{this.$emit('checked-change',val);this.checkChangeByUser=true;}},data:function data(){var _this=this;var checked=[];var filteredDataKeys=this.filteredData.map(function(item){return item[_this.keyProp];});this.checked.forEach(function(item){if(filteredDataKeys.indexOf(item)>-1){checked.push(item);}});this.checkChangeByUser=false;this.checked=checked;},checkableData:function checkableData(){this.updateAllChecked();},defaultChecked:{immediate:true,handler:function handler(val,oldVal){var _this2=this;if(oldVal&&val.length===oldVal.length&&val.every(function(item){return oldVal.indexOf(item)>-1;}))return;var checked=[];var checkableDataKeys=this.checkableData.map(function(item){return item[_this2.keyProp];});val.forEach(function(item){if(checkableDataKeys.indexOf(item)>-1){checked.push(item);}});this.checkChangeByUser=false;this.checked=checked;}}},computed:{filteredData:function filteredData(){var _this3=this;return this.data.filter(function(item){if(typeof _this3.filterMethod==='function'){return _this3.filterMethod(_this3.query,item);}else{var label=item[_this3.labelProp]||item[_this3.keyProp].toString();return label.toLowerCase().indexOf(_this3.query.toLowerCase())>-1;}});},checkableData:function checkableData(){var _this4=this;return this.filteredData.filter(function(item){return!item[_this4.disabledProp];});},checkedSummary:function checkedSummary(){var checkedLength=this.checked.length;var dataLength=this.data.length;var _format=this.format,noChecked=_format.noChecked,hasChecked=_format.hasChecked;if(noChecked&&hasChecked){return checkedLength>0?hasChecked.replace(/\\${checked}/g,checkedLength).replace(/\\${total}/g,dataLength):noChecked.replace(/\\${total}/g,dataLength);}else{return checkedLength+'/'+dataLength;}},isIndeterminate:function isIndeterminate(){var checkedLength=this.checked.length;return checkedLength>0&&checkedLength<this.checkableData.length;},hasNoMatch:function hasNoMatch(){return this.query.length>0&&this.filteredData.length===0;},inputIcon:function inputIcon(){return this.query.length>0&&this.inputHover?'circle-close':'search';},labelProp:function labelProp(){return this.props.label||'label';},keyProp:function keyProp(){return this.props.key||'key';},disabledProp:function disabledProp(){return this.props.disabled||'disabled';},hasFooter:function hasFooter(){return!!this.$slots.default;}},methods:{updateAllChecked:function updateAllChecked(){var _this5=this;var checkableDataKeys=this.checkableData.map(function(item){return item[_this5.keyProp];});this.allChecked=checkableDataKeys.length>0&&checkableDataKeys.every(function(item){return _this5.checked.indexOf(item)>-1;});},handleAllCheckedChange:function handleAllCheckedChange(value){var _this6=this;this.checked=value?this.checkableData.map(function(item){return item[_this6.keyProp];}):[];},clearQuery:function clearQuery(){if(this.inputIcon==='circle-close'){this.query='';}}}};// CONCATENATED MODULE: ./packages/transfer/src/transfer-panel.vue?vue&type=script&lang=js&\n/* harmony default export */var src_transfer_panelvue_type_script_lang_js_=transfer_panelvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/transfer/src/transfer-panel.vue\n/* normalize component */var transfer_panel_component=normalizeComponent(src_transfer_panelvue_type_script_lang_js_,transfer_panelvue_type_template_id_2ddab8bd_render,transfer_panelvue_type_template_id_2ddab8bd_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var transfer_panel_api; }transfer_panel_component.options.__file=\"packages/transfer/src/transfer-panel.vue\";/* harmony default export */var transfer_panel=transfer_panel_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/transfer/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var transfer_src_mainvue_type_script_lang_js_={name:'ElTransfer',mixins:[emitter_default.a,locale_default.a,migrating_default.a],components:{TransferPanel:transfer_panel,ElButton:button_default.a},props:{data:{type:Array,default:function _default(){return[];}},titles:{type:Array,default:function _default(){return[];}},buttonTexts:{type:Array,default:function _default(){return[];}},filterPlaceholder:{type:String,default:''},filterMethod:Function,leftDefaultChecked:{type:Array,default:function _default(){return[];}},rightDefaultChecked:{type:Array,default:function _default(){return[];}},renderContent:Function,value:{type:Array,default:function _default(){return[];}},format:{type:Object,default:function _default(){return{};}},filterable:Boolean,props:{type:Object,default:function _default(){return{label:'label',key:'key',disabled:'disabled'};}},targetOrder:{type:String,default:'original'}},data:function data(){return{leftChecked:[],rightChecked:[]};},computed:{dataObj:function dataObj(){var key=this.props.key;return this.data.reduce(function(o,cur){return(o[cur[key]]=cur)&&o;},{});},sourceData:function sourceData(){var _this=this;return this.data.filter(function(item){return _this.value.indexOf(item[_this.props.key])===-1;});},targetData:function targetData(){var _this2=this;if(this.targetOrder==='original'){return this.data.filter(function(item){return _this2.value.indexOf(item[_this2.props.key])>-1;});}else{return this.value.reduce(function(arr,cur){var val=_this2.dataObj[cur];if(val){arr.push(val);}return arr;},[]);}},hasButtonTexts:function hasButtonTexts(){return this.buttonTexts.length===2;}},watch:{value:function value(val){this.dispatch('ElFormItem','el.form.change',val);}},methods:{getMigratingConfig:function getMigratingConfig(){return{props:{'footer-format':'footer-format is renamed to format.'}};},onSourceCheckedChange:function onSourceCheckedChange(val,movedKeys){this.leftChecked=val;if(movedKeys===undefined)return;this.$emit('left-check-change',val,movedKeys);},onTargetCheckedChange:function onTargetCheckedChange(val,movedKeys){this.rightChecked=val;if(movedKeys===undefined)return;this.$emit('right-check-change',val,movedKeys);},addToLeft:function addToLeft(){var currentValue=this.value.slice();this.rightChecked.forEach(function(item){var index=currentValue.indexOf(item);if(index>-1){currentValue.splice(index,1);}});this.$emit('input',currentValue);this.$emit('change',currentValue,'left',this.rightChecked);},addToRight:function addToRight(){var _this3=this;var currentValue=this.value.slice();var itemsToBeMoved=[];var key=this.props.key;this.data.forEach(function(item){var itemKey=item[key];if(_this3.leftChecked.indexOf(itemKey)>-1&&_this3.value.indexOf(itemKey)===-1){itemsToBeMoved.push(itemKey);}});currentValue=this.targetOrder==='unshift'?itemsToBeMoved.concat(currentValue):currentValue.concat(itemsToBeMoved);this.$emit('input',currentValue);this.$emit('change',currentValue,'right',this.leftChecked);},clearQuery:function clearQuery(which){if(which==='left'){this.$refs.leftPanel.query='';}else if(which==='right'){this.$refs.rightPanel.query='';}}}};// CONCATENATED MODULE: ./packages/transfer/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_transfer_src_mainvue_type_script_lang_js_=transfer_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/transfer/src/main.vue\n/* normalize component */var transfer_src_main_component=normalizeComponent(packages_transfer_src_mainvue_type_script_lang_js_,mainvue_type_template_id_5c654dd8_render,mainvue_type_template_id_5c654dd8_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var transfer_src_main_api; }transfer_src_main_component.options.__file=\"packages/transfer/src/main.vue\";/* harmony default export */var transfer_src_main=transfer_src_main_component.exports;// CONCATENATED MODULE: ./packages/transfer/index.js\n/* istanbul ignore next */transfer_src_main.install=function(Vue){Vue.component(transfer_src_main.name,transfer_src_main);};/* harmony default export */var transfer=transfer_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/container/src/main.vue?vue&type=template&id=5bf181d4&\nvar mainvue_type_template_id_5bf181d4_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"section\",{staticClass:\"el-container\",class:{\"is-vertical\":_vm.isVertical}},[_vm._t(\"default\")],2);};var mainvue_type_template_id_5bf181d4_staticRenderFns=[];mainvue_type_template_id_5bf181d4_render._withStripped=true;// CONCATENATED MODULE: ./packages/container/src/main.vue?vue&type=template&id=5bf181d4&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/container/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n/* harmony default export */var container_src_mainvue_type_script_lang_js_={name:'ElContainer',componentName:'ElContainer',props:{direction:String},computed:{isVertical:function isVertical(){if(this.direction==='vertical'){return true;}else if(this.direction==='horizontal'){return false;}return this.$slots&&this.$slots.default?this.$slots.default.some(function(vnode){var tag=vnode.componentOptions&&vnode.componentOptions.tag;return tag==='el-header'||tag==='el-footer';}):false;}}};// CONCATENATED MODULE: ./packages/container/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_container_src_mainvue_type_script_lang_js_=container_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/container/src/main.vue\n/* normalize component */var container_src_main_component=normalizeComponent(packages_container_src_mainvue_type_script_lang_js_,mainvue_type_template_id_5bf181d4_render,mainvue_type_template_id_5bf181d4_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var container_src_main_api; }container_src_main_component.options.__file=\"packages/container/src/main.vue\";/* harmony default export */var container_src_main=container_src_main_component.exports;// CONCATENATED MODULE: ./packages/container/index.js\n/* istanbul ignore next */container_src_main.install=function(Vue){Vue.component(container_src_main.name,container_src_main);};/* harmony default export */var packages_container=container_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/header/src/main.vue?vue&type=template&id=2b296ab2&\nvar mainvue_type_template_id_2b296ab2_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"header\",{staticClass:\"el-header\",style:{height:_vm.height}},[_vm._t(\"default\")],2);};var mainvue_type_template_id_2b296ab2_staticRenderFns=[];mainvue_type_template_id_2b296ab2_render._withStripped=true;// CONCATENATED MODULE: ./packages/header/src/main.vue?vue&type=template&id=2b296ab2&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/header/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n/* harmony default export */var header_src_mainvue_type_script_lang_js_={name:'ElHeader',componentName:'ElHeader',props:{height:{type:String,default:'60px'}}};// CONCATENATED MODULE: ./packages/header/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_header_src_mainvue_type_script_lang_js_=header_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/header/src/main.vue\n/* normalize component */var header_src_main_component=normalizeComponent(packages_header_src_mainvue_type_script_lang_js_,mainvue_type_template_id_2b296ab2_render,mainvue_type_template_id_2b296ab2_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var header_src_main_api; }header_src_main_component.options.__file=\"packages/header/src/main.vue\";/* harmony default export */var header_src_main=header_src_main_component.exports;// CONCATENATED MODULE: ./packages/header/index.js\n/* istanbul ignore next */header_src_main.install=function(Vue){Vue.component(header_src_main.name,header_src_main);};/* harmony default export */var header=header_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/aside/src/main.vue?vue&type=template&id=03411dbf&\nvar mainvue_type_template_id_03411dbf_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"aside\",{staticClass:\"el-aside\",style:{width:_vm.width}},[_vm._t(\"default\")],2);};var mainvue_type_template_id_03411dbf_staticRenderFns=[];mainvue_type_template_id_03411dbf_render._withStripped=true;// CONCATENATED MODULE: ./packages/aside/src/main.vue?vue&type=template&id=03411dbf&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/aside/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n/* harmony default export */var aside_src_mainvue_type_script_lang_js_={name:'ElAside',componentName:'ElAside',props:{width:{type:String,default:'300px'}}};// CONCATENATED MODULE: ./packages/aside/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_aside_src_mainvue_type_script_lang_js_=aside_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/aside/src/main.vue\n/* normalize component */var aside_src_main_component=normalizeComponent(packages_aside_src_mainvue_type_script_lang_js_,mainvue_type_template_id_03411dbf_render,mainvue_type_template_id_03411dbf_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var aside_src_main_api; }aside_src_main_component.options.__file=\"packages/aside/src/main.vue\";/* harmony default export */var aside_src_main=aside_src_main_component.exports;// CONCATENATED MODULE: ./packages/aside/index.js\n/* istanbul ignore next */aside_src_main.install=function(Vue){Vue.component(aside_src_main.name,aside_src_main);};/* harmony default export */var aside=aside_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/main/src/main.vue?vue&type=template&id=2a3a7406&\nvar mainvue_type_template_id_2a3a7406_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"main\",{staticClass:\"el-main\"},[_vm._t(\"default\")],2);};var mainvue_type_template_id_2a3a7406_staticRenderFns=[];mainvue_type_template_id_2a3a7406_render._withStripped=true;// CONCATENATED MODULE: ./packages/main/src/main.vue?vue&type=template&id=2a3a7406&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/main/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n/* harmony default export */var main_src_mainvue_type_script_lang_js_={name:'ElMain',componentName:'ElMain'};// CONCATENATED MODULE: ./packages/main/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_main_src_mainvue_type_script_lang_js_=main_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/main/src/main.vue\n/* normalize component */var main_src_main_component=normalizeComponent(packages_main_src_mainvue_type_script_lang_js_,mainvue_type_template_id_2a3a7406_render,mainvue_type_template_id_2a3a7406_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var main_src_main_api; }main_src_main_component.options.__file=\"packages/main/src/main.vue\";/* harmony default export */var main_src_main=main_src_main_component.exports;// CONCATENATED MODULE: ./packages/main/index.js\n/* istanbul ignore next */main_src_main.install=function(Vue){Vue.component(main_src_main.name,main_src_main);};/* harmony default export */var packages_main=main_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/footer/src/main.vue?vue&type=template&id=80210338&\nvar mainvue_type_template_id_80210338_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"footer\",{staticClass:\"el-footer\",style:{height:_vm.height}},[_vm._t(\"default\")],2);};var mainvue_type_template_id_80210338_staticRenderFns=[];mainvue_type_template_id_80210338_render._withStripped=true;// CONCATENATED MODULE: ./packages/footer/src/main.vue?vue&type=template&id=80210338&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/footer/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n/* harmony default export */var footer_src_mainvue_type_script_lang_js_={name:'ElFooter',componentName:'ElFooter',props:{height:{type:String,default:'60px'}}};// CONCATENATED MODULE: ./packages/footer/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_footer_src_mainvue_type_script_lang_js_=footer_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/footer/src/main.vue\n/* normalize component */var footer_src_main_component=normalizeComponent(packages_footer_src_mainvue_type_script_lang_js_,mainvue_type_template_id_80210338_render,mainvue_type_template_id_80210338_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var footer_src_main_api; }footer_src_main_component.options.__file=\"packages/footer/src/main.vue\";/* harmony default export */var footer_src_main=footer_src_main_component.exports;// CONCATENATED MODULE: ./packages/footer/index.js\n/* istanbul ignore next */footer_src_main.install=function(Vue){Vue.component(footer_src_main.name,footer_src_main);};/* harmony default export */var footer=footer_src_main;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/timeline/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var timeline_src_mainvue_type_script_lang_js_={name:'ElTimeline',props:{reverse:{type:Boolean,default:false}},provide:function provide(){return{timeline:this};},render:function render(){var h=arguments[0];var reverse=this.reverse;var classes={'el-timeline':true,'is-reverse':reverse};var slots=this.$slots.default||[];if(reverse){slots=slots.reverse();}return h('ul',{'class':classes},[slots]);}};// CONCATENATED MODULE: ./packages/timeline/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_timeline_src_mainvue_type_script_lang_js_=timeline_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/timeline/src/main.vue\nvar main_render,main_staticRenderFns;/* normalize component */var timeline_src_main_component=normalizeComponent(packages_timeline_src_mainvue_type_script_lang_js_,main_render,main_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var timeline_src_main_api; }timeline_src_main_component.options.__file=\"packages/timeline/src/main.vue\";/* harmony default export */var timeline_src_main=timeline_src_main_component.exports;// CONCATENATED MODULE: ./packages/timeline/index.js\n/* istanbul ignore next */timeline_src_main.install=function(Vue){Vue.component(timeline_src_main.name,timeline_src_main);};/* harmony default export */var timeline=timeline_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/timeline/src/item.vue?vue&type=template&id=61a69e50&\nvar itemvue_type_template_id_61a69e50_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"li\",{staticClass:\"el-timeline-item\"},[_c(\"div\",{staticClass:\"el-timeline-item__tail\"}),!_vm.$slots.dot?_c(\"div\",{staticClass:\"el-timeline-item__node\",class:[\"el-timeline-item__node--\"+(_vm.size||\"\"),\"el-timeline-item__node--\"+(_vm.type||\"\")],style:{backgroundColor:_vm.color}},[_vm.icon?_c(\"i\",{staticClass:\"el-timeline-item__icon\",class:_vm.icon}):_vm._e()]):_vm._e(),_vm.$slots.dot?_c(\"div\",{staticClass:\"el-timeline-item__dot\"},[_vm._t(\"dot\")],2):_vm._e(),_c(\"div\",{staticClass:\"el-timeline-item__wrapper\"},[!_vm.hideTimestamp&&_vm.placement===\"top\"?_c(\"div\",{staticClass:\"el-timeline-item__timestamp is-top\"},[_vm._v(\"\\n      \"+_vm._s(_vm.timestamp)+\"\\n    \")]):_vm._e(),_c(\"div\",{staticClass:\"el-timeline-item__content\"},[_vm._t(\"default\")],2),!_vm.hideTimestamp&&_vm.placement===\"bottom\"?_c(\"div\",{staticClass:\"el-timeline-item__timestamp is-bottom\"},[_vm._v(\"\\n      \"+_vm._s(_vm.timestamp)+\"\\n    \")]):_vm._e()])]);};var itemvue_type_template_id_61a69e50_staticRenderFns=[];itemvue_type_template_id_61a69e50_render._withStripped=true;// CONCATENATED MODULE: ./packages/timeline/src/item.vue?vue&type=template&id=61a69e50&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/timeline/src/item.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var timeline_src_itemvue_type_script_lang_js_={name:'ElTimelineItem',inject:['timeline'],props:{timestamp:String,hideTimestamp:{type:Boolean,default:false},placement:{type:String,default:'bottom'},type:String,color:String,size:{type:String,default:'normal'},icon:String}};// CONCATENATED MODULE: ./packages/timeline/src/item.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_timeline_src_itemvue_type_script_lang_js_=timeline_src_itemvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/timeline/src/item.vue\n/* normalize component */var src_item_component=normalizeComponent(packages_timeline_src_itemvue_type_script_lang_js_,itemvue_type_template_id_61a69e50_render,itemvue_type_template_id_61a69e50_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var src_item_api; }src_item_component.options.__file=\"packages/timeline/src/item.vue\";/* harmony default export */var timeline_src_item=src_item_component.exports;// CONCATENATED MODULE: ./packages/timeline-item/index.js\n/* istanbul ignore next */timeline_src_item.install=function(Vue){Vue.component(timeline_src_item.name,timeline_src_item);};/* harmony default export */var timeline_item=timeline_src_item;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/link/src/main.vue?vue&type=template&id=01cf3b65&\nvar mainvue_type_template_id_01cf3b65_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"a\",_vm._b({class:[\"el-link\",_vm.type?\"el-link--\"+_vm.type:\"\",_vm.disabled&&\"is-disabled\",_vm.underline&&!_vm.disabled&&\"is-underline\"],attrs:{href:_vm.disabled?null:_vm.href},on:{click:_vm.handleClick}},\"a\",_vm.$attrs,false),[_vm.icon?_c(\"i\",{class:_vm.icon}):_vm._e(),_vm.$slots.default?_c(\"span\",{staticClass:\"el-link--inner\"},[_vm._t(\"default\")],2):_vm._e(),_vm.$slots.icon?[_vm.$slots.icon?_vm._t(\"icon\"):_vm._e()]:_vm._e()],2);};var mainvue_type_template_id_01cf3b65_staticRenderFns=[];mainvue_type_template_id_01cf3b65_render._withStripped=true;// CONCATENATED MODULE: ./packages/link/src/main.vue?vue&type=template&id=01cf3b65&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/link/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var link_src_mainvue_type_script_lang_js_={name:'ElLink',props:{type:{type:String,default:'default'},underline:{type:Boolean,default:true},disabled:Boolean,href:String,icon:String},methods:{handleClick:function handleClick(event){if(!this.disabled){if(!this.href){this.$emit('click',event);}}}}};// CONCATENATED MODULE: ./packages/link/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_link_src_mainvue_type_script_lang_js_=link_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/link/src/main.vue\n/* normalize component */var link_src_main_component=normalizeComponent(packages_link_src_mainvue_type_script_lang_js_,mainvue_type_template_id_01cf3b65_render,mainvue_type_template_id_01cf3b65_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var link_src_main_api; }link_src_main_component.options.__file=\"packages/link/src/main.vue\";/* harmony default export */var link_src_main=link_src_main_component.exports;// CONCATENATED MODULE: ./packages/link/index.js\n/* istanbul ignore next */link_src_main.install=function(Vue){Vue.component(link_src_main.name,link_src_main);};/* harmony default export */var packages_link=link_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/divider/src/main.vue?vue&type=template&id=7fa02a7e&functional=true&\nvar mainvue_type_template_id_7fa02a7e_functional_true_render=function(_h,_vm){var _c=_vm._c;return _c(\"div\",_vm._g(_vm._b({class:[_vm.data.staticClass,\"el-divider\",\"el-divider--\"+_vm.props.direction]},\"div\",_vm.data.attrs,false),_vm.listeners),[_vm.slots().default&&_vm.props.direction!==\"vertical\"?_c(\"div\",{class:[\"el-divider__text\",\"is-\"+_vm.props.contentPosition]},[_vm._t(\"default\")],2):_vm._e()]);};var mainvue_type_template_id_7fa02a7e_functional_true_staticRenderFns=[];mainvue_type_template_id_7fa02a7e_functional_true_render._withStripped=true;// CONCATENATED MODULE: ./packages/divider/src/main.vue?vue&type=template&id=7fa02a7e&functional=true&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/divider/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var divider_src_mainvue_type_script_lang_js_={name:'ElDivider',props:{direction:{type:String,default:'horizontal',validator:function validator(val){return['horizontal','vertical'].indexOf(val)!==-1;}},contentPosition:{type:String,default:'center',validator:function validator(val){return['left','center','right'].indexOf(val)!==-1;}}}};// CONCATENATED MODULE: ./packages/divider/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_divider_src_mainvue_type_script_lang_js_=divider_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/divider/src/main.vue\n/* normalize component */var divider_src_main_component=normalizeComponent(packages_divider_src_mainvue_type_script_lang_js_,mainvue_type_template_id_7fa02a7e_functional_true_render,mainvue_type_template_id_7fa02a7e_functional_true_staticRenderFns,true,null,null,null);/* hot reload */if(false){ var divider_src_main_api; }divider_src_main_component.options.__file=\"packages/divider/src/main.vue\";/* harmony default export */var divider_src_main=divider_src_main_component.exports;// CONCATENATED MODULE: ./packages/divider/index.js\n/* istanbul ignore next */divider_src_main.install=function(Vue){Vue.component(divider_src_main.name,divider_src_main);};/* harmony default export */var divider=divider_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/image/src/main.vue?vue&type=template&id=44d84a7c&\nvar mainvue_type_template_id_44d84a7c_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-image\"},[_vm.loading?_vm._t(\"placeholder\",[_c(\"div\",{staticClass:\"el-image__placeholder\"})]):_vm.error?_vm._t(\"error\",[_c(\"div\",{staticClass:\"el-image__error\"},[_vm._v(_vm._s(_vm.t(\"el.image.error\")))])]):_c(\"img\",_vm._g(_vm._b({staticClass:\"el-image__inner\",class:{\"el-image__inner--center\":_vm.alignCenter,\"el-image__preview\":_vm.preview},style:_vm.imageStyle,attrs:{src:_vm.src},on:{click:_vm.clickHandler}},\"img\",_vm.$attrs,false),_vm.$listeners)),_vm.preview?[_vm.showViewer?_c(\"image-viewer\",{attrs:{\"z-index\":_vm.zIndex,\"initial-index\":_vm.imageIndex,\"on-close\":_vm.closeViewer,\"url-list\":_vm.previewSrcList}}):_vm._e()]:_vm._e()],2);};var mainvue_type_template_id_44d84a7c_staticRenderFns=[];mainvue_type_template_id_44d84a7c_render._withStripped=true;// CONCATENATED MODULE: ./packages/image/src/main.vue?vue&type=template&id=44d84a7c&\n// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/image/src/image-viewer.vue?vue&type=template&id=5e73b307&\nvar image_viewervue_type_template_id_5e73b307_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"viewer-fade\"}},[_c(\"div\",{ref:\"el-image-viewer__wrapper\",staticClass:\"el-image-viewer__wrapper\",style:{\"z-index\":_vm.viewerZIndex},attrs:{tabindex:\"-1\"}},[_c(\"div\",{staticClass:\"el-image-viewer__mask\",on:{click:function($event){if($event.target!==$event.currentTarget){return null;}return _vm.handleMaskClick($event);}}}),_c(\"span\",{staticClass:\"el-image-viewer__btn el-image-viewer__close\",on:{click:_vm.hide}},[_c(\"i\",{staticClass:\"el-icon-close\"})]),!_vm.isSingle?[_c(\"span\",{staticClass:\"el-image-viewer__btn el-image-viewer__prev\",class:{\"is-disabled\":!_vm.infinite&&_vm.isFirst},on:{click:_vm.prev}},[_c(\"i\",{staticClass:\"el-icon-arrow-left\"})]),_c(\"span\",{staticClass:\"el-image-viewer__btn el-image-viewer__next\",class:{\"is-disabled\":!_vm.infinite&&_vm.isLast},on:{click:_vm.next}},[_c(\"i\",{staticClass:\"el-icon-arrow-right\"})])]:_vm._e(),_c(\"div\",{staticClass:\"el-image-viewer__btn el-image-viewer__actions\"},[_c(\"div\",{staticClass:\"el-image-viewer__actions__inner\"},[_c(\"i\",{staticClass:\"el-icon-zoom-out\",on:{click:function($event){_vm.handleActions(\"zoomOut\");}}}),_c(\"i\",{staticClass:\"el-icon-zoom-in\",on:{click:function($event){_vm.handleActions(\"zoomIn\");}}}),_c(\"i\",{staticClass:\"el-image-viewer__actions__divider\"}),_c(\"i\",{class:_vm.mode.icon,on:{click:_vm.toggleMode}}),_c(\"i\",{staticClass:\"el-image-viewer__actions__divider\"}),_c(\"i\",{staticClass:\"el-icon-refresh-left\",on:{click:function($event){_vm.handleActions(\"anticlocelise\");}}}),_c(\"i\",{staticClass:\"el-icon-refresh-right\",on:{click:function($event){_vm.handleActions(\"clocelise\");}}})])]),_c(\"div\",{staticClass:\"el-image-viewer__canvas\"},_vm._l(_vm.urlList,function(url,i){return i===_vm.index?_c(\"img\",{key:url,ref:\"img\",refInFor:true,staticClass:\"el-image-viewer__img\",style:_vm.imgStyle,attrs:{src:_vm.currentImg,referrerpolicy:\"no-referrer\"},on:{load:_vm.handleImgLoad,error:_vm.handleImgError,mousedown:_vm.handleMouseDown}}):_vm._e();}),0)],2)]);};var image_viewervue_type_template_id_5e73b307_staticRenderFns=[];image_viewervue_type_template_id_5e73b307_render._withStripped=true;// CONCATENATED MODULE: ./packages/image/src/image-viewer.vue?vue&type=template&id=5e73b307&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/image/src/image-viewer.vue?vue&type=script&lang=js&\nvar image_viewervue_type_script_lang_js_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar Mode={CONTAIN:{name:'contain',icon:'el-icon-full-screen'},ORIGINAL:{name:'original',icon:'el-icon-c-scale-to-original'}};var mousewheelEventName=Object(util_[\"isFirefox\"])()?'DOMMouseScroll':'mousewheel';/* harmony default export */var image_viewervue_type_script_lang_js_={name:'elImageViewer',props:{urlList:{type:Array,default:function _default(){return[];}},zIndex:{type:Number,default:2000},onSwitch:{type:Function,default:function _default(){}},onClose:{type:Function,default:function _default(){}},initialIndex:{type:Number,default:0},appendToBody:{type:Boolean,default:true},maskClosable:{type:Boolean,default:true}},data:function data(){return{index:this.initialIndex,isShow:false,infinite:true,loading:false,mode:Mode.CONTAIN,transform:{scale:1,deg:0,offsetX:0,offsetY:0,enableTransition:false}};},computed:{isSingle:function isSingle(){return this.urlList.length<=1;},isFirst:function isFirst(){return this.index===0;},isLast:function isLast(){return this.index===this.urlList.length-1;},currentImg:function currentImg(){return this.urlList[this.index];},imgStyle:function imgStyle(){var _transform=this.transform,scale=_transform.scale,deg=_transform.deg,offsetX=_transform.offsetX,offsetY=_transform.offsetY,enableTransition=_transform.enableTransition;var style={transform:'scale('+scale+') rotate('+deg+'deg)',transition:enableTransition?'transform .3s':'','margin-left':offsetX+'px','margin-top':offsetY+'px'};if(this.mode===Mode.CONTAIN){style.maxWidth=style.maxHeight='100%';}return style;},viewerZIndex:function viewerZIndex(){var nextZIndex=popup_[\"PopupManager\"].nextZIndex();return this.zIndex>nextZIndex?this.zIndex:nextZIndex;}},watch:{index:{handler:function handler(val){this.reset();this.onSwitch(val);}},currentImg:function currentImg(val){var _this=this;this.$nextTick(function(_){var $img=_this.$refs.img[0];if(!$img.complete){_this.loading=true;}});}},methods:{hide:function hide(){this.deviceSupportUninstall();this.onClose();},deviceSupportInstall:function deviceSupportInstall(){var _this2=this;this._keyDownHandler=function(e){e.stopPropagation();var keyCode=e.keyCode;switch(keyCode){// ESC\ncase 27:_this2.hide();break;// SPACE\ncase 32:_this2.toggleMode();break;// LEFT_ARROW\ncase 37:_this2.prev();break;// UP_ARROW\ncase 38:_this2.handleActions('zoomIn');break;// RIGHT_ARROW\ncase 39:_this2.next();break;// DOWN_ARROW\ncase 40:_this2.handleActions('zoomOut');break;}};this._mouseWheelHandler=Object(util_[\"rafThrottle\"])(function(e){var delta=e.wheelDelta?e.wheelDelta:-e.detail;if(delta>0){_this2.handleActions('zoomIn',{zoomRate:0.015,enableTransition:false});}else{_this2.handleActions('zoomOut',{zoomRate:0.015,enableTransition:false});}});Object(dom_[\"on\"])(document,'keydown',this._keyDownHandler);Object(dom_[\"on\"])(document,mousewheelEventName,this._mouseWheelHandler);},deviceSupportUninstall:function deviceSupportUninstall(){Object(dom_[\"off\"])(document,'keydown',this._keyDownHandler);Object(dom_[\"off\"])(document,mousewheelEventName,this._mouseWheelHandler);this._keyDownHandler=null;this._mouseWheelHandler=null;},handleImgLoad:function handleImgLoad(e){this.loading=false;},handleImgError:function handleImgError(e){this.loading=false;e.target.alt='加载失败';},handleMouseDown:function handleMouseDown(e){var _this3=this;if(this.loading||e.button!==0)return;var _transform2=this.transform,offsetX=_transform2.offsetX,offsetY=_transform2.offsetY;var startX=e.pageX;var startY=e.pageY;this._dragHandler=Object(util_[\"rafThrottle\"])(function(ev){_this3.transform.offsetX=offsetX+ev.pageX-startX;_this3.transform.offsetY=offsetY+ev.pageY-startY;});Object(dom_[\"on\"])(document,'mousemove',this._dragHandler);Object(dom_[\"on\"])(document,'mouseup',function(ev){Object(dom_[\"off\"])(document,'mousemove',_this3._dragHandler);});e.preventDefault();},handleMaskClick:function handleMaskClick(){if(this.maskClosable){this.hide();}},reset:function reset(){this.transform={scale:1,deg:0,offsetX:0,offsetY:0,enableTransition:false};},toggleMode:function toggleMode(){if(this.loading)return;var modeNames=Object.keys(Mode);var modeValues=Object.values(Mode);var index=modeValues.indexOf(this.mode);var nextIndex=(index+1)%modeNames.length;this.mode=Mode[modeNames[nextIndex]];this.reset();},prev:function prev(){if(this.isFirst&&!this.infinite)return;var len=this.urlList.length;this.index=(this.index-1+len)%len;},next:function next(){if(this.isLast&&!this.infinite)return;var len=this.urlList.length;this.index=(this.index+1)%len;},handleActions:function handleActions(action){var options=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};if(this.loading)return;var _zoomRate$rotateDeg$e=image_viewervue_type_script_lang_js_extends({zoomRate:0.2,rotateDeg:90,enableTransition:true},options),zoomRate=_zoomRate$rotateDeg$e.zoomRate,rotateDeg=_zoomRate$rotateDeg$e.rotateDeg,enableTransition=_zoomRate$rotateDeg$e.enableTransition;var transform=this.transform;switch(action){case'zoomOut':if(transform.scale>0.2){transform.scale=parseFloat((transform.scale-zoomRate).toFixed(3));}break;case'zoomIn':transform.scale=parseFloat((transform.scale+zoomRate).toFixed(3));break;case'clocelise':transform.deg+=rotateDeg;break;case'anticlocelise':transform.deg-=rotateDeg;break;}transform.enableTransition=enableTransition;}},mounted:function mounted(){this.deviceSupportInstall();if(this.appendToBody){document.body.appendChild(this.$el);}// add tabindex then wrapper can be focusable via Javascript\n// focus wrapper so arrow key can't cause inner scroll behavior underneath\nthis.$refs['el-image-viewer__wrapper'].focus();},destroyed:function destroyed(){// if appendToBody is true, remove DOM node after destroy\nif(this.appendToBody&&this.$el&&this.$el.parentNode){this.$el.parentNode.removeChild(this.$el);}}};// CONCATENATED MODULE: ./packages/image/src/image-viewer.vue?vue&type=script&lang=js&\n/* harmony default export */var src_image_viewervue_type_script_lang_js_=image_viewervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/image/src/image-viewer.vue\n/* normalize component */var image_viewer_component=normalizeComponent(src_image_viewervue_type_script_lang_js_,image_viewervue_type_template_id_5e73b307_render,image_viewervue_type_template_id_5e73b307_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var image_viewer_api; }image_viewer_component.options.__file=\"packages/image/src/image-viewer.vue\";/* harmony default export */var image_viewer=image_viewer_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/image/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar isSupportObjectFit=function isSupportObjectFit(){return document.documentElement.style.objectFit!==undefined;};var ObjectFit={NONE:'none',CONTAIN:'contain',COVER:'cover',FILL:'fill',SCALE_DOWN:'scale-down'};var prevOverflow='';/* harmony default export */var image_src_mainvue_type_script_lang_js_={name:'ElImage',mixins:[locale_default.a],inheritAttrs:false,components:{ImageViewer:image_viewer},props:{src:String,fit:String,lazy:Boolean,scrollContainer:{},previewSrcList:{type:Array,default:function _default(){return[];}},zIndex:{type:Number,default:2000},initialIndex:Number},data:function data(){return{loading:true,error:false,show:!this.lazy,imageWidth:0,imageHeight:0,showViewer:false};},computed:{imageStyle:function imageStyle(){var fit=this.fit;if(!this.$isServer&&fit){return isSupportObjectFit()?{'object-fit':fit}:this.getImageStyle(fit);}return{};},alignCenter:function alignCenter(){return!this.$isServer&&!isSupportObjectFit()&&this.fit!==ObjectFit.FILL;},preview:function preview(){var previewSrcList=this.previewSrcList;return Array.isArray(previewSrcList)&&previewSrcList.length>0;},imageIndex:function imageIndex(){var previewIndex=0;var initialIndex=this.initialIndex;if(initialIndex>=0){previewIndex=initialIndex;return previewIndex;}var srcIndex=this.previewSrcList.indexOf(this.src);if(srcIndex>=0){previewIndex=srcIndex;return previewIndex;}return previewIndex;}},watch:{src:function src(val){this.show&&this.loadImage();},show:function show(val){val&&this.loadImage();}},mounted:function mounted(){if(this.lazy){this.addLazyLoadListener();}else{this.loadImage();}},beforeDestroy:function beforeDestroy(){this.lazy&&this.removeLazyLoadListener();},methods:{loadImage:function loadImage(){var _this=this;if(this.$isServer)return;// reset status\nthis.loading=true;this.error=false;var img=new Image();img.onload=function(e){return _this.handleLoad(e,img);};img.onerror=this.handleError.bind(this);// bind html attrs\n// so it can behave consistently\nObject.keys(this.$attrs).forEach(function(key){var value=_this.$attrs[key];img.setAttribute(key,value);});img.src=this.src;},handleLoad:function handleLoad(e,img){this.imageWidth=img.width;this.imageHeight=img.height;this.loading=false;this.error=false;},handleError:function handleError(e){this.loading=false;this.error=true;this.$emit('error',e);},handleLazyLoad:function handleLazyLoad(){if(Object(dom_[\"isInContainer\"])(this.$el,this._scrollContainer)){this.show=true;this.removeLazyLoadListener();}},addLazyLoadListener:function addLazyLoadListener(){if(this.$isServer)return;var scrollContainer=this.scrollContainer;var _scrollContainer=null;if(Object(types_[\"isHtmlElement\"])(scrollContainer)){_scrollContainer=scrollContainer;}else if(Object(types_[\"isString\"])(scrollContainer)){_scrollContainer=document.querySelector(scrollContainer);}else{_scrollContainer=Object(dom_[\"getScrollContainer\"])(this.$el);}if(_scrollContainer){this._scrollContainer=_scrollContainer;this._lazyLoadHandler=throttle_default()(200,this.handleLazyLoad);Object(dom_[\"on\"])(_scrollContainer,'scroll',this._lazyLoadHandler);this.handleLazyLoad();}},removeLazyLoadListener:function removeLazyLoadListener(){var _scrollContainer=this._scrollContainer,_lazyLoadHandler=this._lazyLoadHandler;if(this.$isServer||!_scrollContainer||!_lazyLoadHandler)return;Object(dom_[\"off\"])(_scrollContainer,'scroll',_lazyLoadHandler);this._scrollContainer=null;this._lazyLoadHandler=null;},/**\n     * simulate object-fit behavior to compatible with IE11 and other browsers which not support object-fit\n     */getImageStyle:function getImageStyle(fit){var imageWidth=this.imageWidth,imageHeight=this.imageHeight;var _$el=this.$el,containerWidth=_$el.clientWidth,containerHeight=_$el.clientHeight;if(!imageWidth||!imageHeight||!containerWidth||!containerHeight)return{};var imageAspectRatio=imageWidth/imageHeight;var containerAspectRatio=containerWidth/containerHeight;if(fit===ObjectFit.SCALE_DOWN){var isSmaller=imageWidth<containerWidth&&imageHeight<containerHeight;fit=isSmaller?ObjectFit.NONE:ObjectFit.CONTAIN;}switch(fit){case ObjectFit.NONE:return{width:'auto',height:'auto'};case ObjectFit.CONTAIN:return imageAspectRatio<containerAspectRatio?{width:'auto'}:{height:'auto'};case ObjectFit.COVER:return imageAspectRatio<containerAspectRatio?{height:'auto'}:{width:'auto'};default:return{};}},clickHandler:function clickHandler(){// don't show viewer when preview is false\nif(!this.preview){return;}// prevent body scroll\nprevOverflow=document.body.style.overflow;document.body.style.overflow='hidden';this.showViewer=true;},closeViewer:function closeViewer(){document.body.style.overflow=prevOverflow;this.showViewer=false;}}};// CONCATENATED MODULE: ./packages/image/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_image_src_mainvue_type_script_lang_js_=image_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/image/src/main.vue\n/* normalize component */var image_src_main_component=normalizeComponent(packages_image_src_mainvue_type_script_lang_js_,mainvue_type_template_id_44d84a7c_render,mainvue_type_template_id_44d84a7c_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var image_src_main_api; }image_src_main_component.options.__file=\"packages/image/src/main.vue\";/* harmony default export */var image_src_main=image_src_main_component.exports;// CONCATENATED MODULE: ./packages/image/index.js\n/* istanbul ignore next */image_src_main.install=function(Vue){Vue.component(image_src_main.name,image_src_main);};/* harmony default export */var packages_image=image_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/calendar/src/main.vue?vue&type=template&id=6d9756be&\nvar mainvue_type_template_id_6d9756be_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-calendar\"},[_c(\"div\",{staticClass:\"el-calendar__header\"},[_c(\"div\",{staticClass:\"el-calendar__title\"},[_vm._v(\"\\n      \"+_vm._s(_vm.i18nDate)+\"\\n    \")]),_vm.validatedRange.length===0?_c(\"div\",{staticClass:\"el-calendar__button-group\"},[_c(\"el-button-group\",[_c(\"el-button\",{attrs:{type:\"plain\",size:\"mini\"},on:{click:function($event){_vm.selectDate(\"prev-month\");}}},[_vm._v(\"\\n          \"+_vm._s(_vm.t(\"el.datepicker.prevMonth\"))+\"\\n        \")]),_c(\"el-button\",{attrs:{type:\"plain\",size:\"mini\"},on:{click:function($event){_vm.selectDate(\"today\");}}},[_vm._v(\"\\n          \"+_vm._s(_vm.t(\"el.datepicker.today\"))+\"\\n        \")]),_c(\"el-button\",{attrs:{type:\"plain\",size:\"mini\"},on:{click:function($event){_vm.selectDate(\"next-month\");}}},[_vm._v(\"\\n          \"+_vm._s(_vm.t(\"el.datepicker.nextMonth\"))+\"\\n        \")])],1)],1):_vm._e()]),_vm.validatedRange.length===0?_c(\"div\",{key:\"no-range\",staticClass:\"el-calendar__body\"},[_c(\"date-table\",{attrs:{date:_vm.date,\"selected-day\":_vm.realSelectedDay,\"first-day-of-week\":_vm.realFirstDayOfWeek},on:{pick:_vm.pickDay}})],1):_c(\"div\",{key:\"has-range\",staticClass:\"el-calendar__body\"},_vm._l(_vm.validatedRange,function(range,index){return _c(\"date-table\",{key:index,attrs:{date:range[0],\"selected-day\":_vm.realSelectedDay,range:range,\"hide-header\":index!==0,\"first-day-of-week\":_vm.realFirstDayOfWeek},on:{pick:_vm.pickDay}});}),1)]);};var mainvue_type_template_id_6d9756be_staticRenderFns=[];mainvue_type_template_id_6d9756be_render._withStripped=true;// CONCATENATED MODULE: ./packages/calendar/src/main.vue?vue&type=template&id=6d9756be&\n// EXTERNAL MODULE: external \"element-ui/lib/utils/date\"\nvar date_=__nested_webpack_require_8056__(20);var date_default=/*#__PURE__*/__nested_webpack_require_8056__.n(date_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/calendar/src/date-table.vue?vue&type=script&lang=js&\n/* harmony default export */var src_date_tablevue_type_script_lang_js_={props:{selectedDay:String,// formated date yyyy-MM-dd\nrange:{type:Array,validator:function validator(val){if(!(val&&val.length))return true;var start=val[0],end=val[1];return Object(date_util_[\"validateRangeInOneMonth\"])(start,end);}},date:Date,hideHeader:Boolean,firstDayOfWeek:Number},inject:['elCalendar'],methods:{toNestedArr:function toNestedArr(days){return Object(date_util_[\"range\"])(days.length/7).map(function(_,index){var start=index*7;return days.slice(start,start+7);});},getFormateDate:function getFormateDate(day,type){if(!day||['prev','current','next'].indexOf(type)===-1){throw new Error('invalid day or type');}var prefix=this.curMonthDatePrefix;if(type==='prev'){prefix=this.prevMonthDatePrefix;}else if(type==='next'){prefix=this.nextMonthDatePrefix;}day=('00'+day).slice(-2);return prefix+'-'+day;},getCellClass:function getCellClass(_ref){var text=_ref.text,type=_ref.type;var classes=[type];if(type==='current'){var date=this.getFormateDate(text,type);if(date===this.selectedDay){classes.push('is-selected');}if(date===this.formatedToday){classes.push('is-today');}}return classes;},pickDay:function pickDay(_ref2){var text=_ref2.text,type=_ref2.type;var date=this.getFormateDate(text,type);this.$emit('pick',date);},cellRenderProxy:function cellRenderProxy(_ref3){var text=_ref3.text,type=_ref3.type;var h=this.$createElement;var render=this.elCalendar.$scopedSlots.dateCell;if(!render)return h('span',[text]);var day=this.getFormateDate(text,type);var date=new Date(day);var data={isSelected:this.selectedDay===day,type:type+'-month',day:day};return render({date:date,data:data});}},computed:{WEEK_DAYS:function WEEK_DAYS(){return Object(date_util_[\"getI18nSettings\"])().dayNames;},prevMonthDatePrefix:function prevMonthDatePrefix(){var temp=new Date(this.date.getTime());temp.setDate(0);return date_default.a.format(temp,'yyyy-MM');},curMonthDatePrefix:function curMonthDatePrefix(){return date_default.a.format(this.date,'yyyy-MM');},nextMonthDatePrefix:function nextMonthDatePrefix(){var temp=new Date(this.date.getFullYear(),this.date.getMonth()+1,1);return date_default.a.format(temp,'yyyy-MM');},formatedToday:function formatedToday(){return this.elCalendar.formatedToday;},isInRange:function isInRange(){return this.range&&this.range.length;},rows:function rows(){var days=[];// if range exists, should render days in range.\nif(this.isInRange){var _range=this.range,start=_range[0],end=_range[1];var currentMonthRange=Object(date_util_[\"range\"])(end.getDate()-start.getDate()+1).map(function(_,index){return{text:start.getDate()+index,type:'current'};});var remaining=currentMonthRange.length%7;remaining=remaining===0?0:7-remaining;var nextMonthRange=Object(date_util_[\"range\"])(remaining).map(function(_,index){return{text:index+1,type:'next'};});days=currentMonthRange.concat(nextMonthRange);}else{var date=this.date;var firstDay=Object(date_util_[\"getFirstDayOfMonth\"])(date);firstDay=firstDay===0?7:firstDay;var firstDayOfWeek=typeof this.firstDayOfWeek==='number'?this.firstDayOfWeek:1;var offset=(7+firstDay-firstDayOfWeek)%7;var prevMonthDays=Object(date_util_[\"getPrevMonthLastDays\"])(date,offset).map(function(day){return{text:day,type:'prev'};});var currentMonthDays=Object(date_util_[\"getMonthDays\"])(date).map(function(day){return{text:day,type:'current'};});days=[].concat(prevMonthDays,currentMonthDays);var nextMonthDays=Object(date_util_[\"range\"])(42-days.length).map(function(_,index){return{text:index+1,type:'next'};});days=days.concat(nextMonthDays);}return this.toNestedArr(days);},weekDays:function weekDays(){var start=this.firstDayOfWeek;var WEEK_DAYS=this.WEEK_DAYS;if(typeof start!=='number'||start===0){return WEEK_DAYS.slice();}else{return WEEK_DAYS.slice(start).concat(WEEK_DAYS.slice(0,start));}}},render:function render(){var _this=this;var h=arguments[0];var thead=this.hideHeader?null:h('thead',[this.weekDays.map(function(day){return h('th',{key:day},[day]);})]);return h('table',{'class':{'el-calendar-table':true,'is-range':this.isInRange},attrs:{cellspacing:'0',cellpadding:'0'}},[thead,h('tbody',[this.rows.map(function(row,index){return h('tr',{'class':{'el-calendar-table__row':true,'el-calendar-table__row--hide-border':index===0&&_this.hideHeader},key:index},[row.map(function(cell,key){return h('td',{key:key,'class':_this.getCellClass(cell),on:{'click':_this.pickDay.bind(_this,cell)}},[h('div',{'class':'el-calendar-day'},[_this.cellRenderProxy(cell)])]);})]);})])]);}};// CONCATENATED MODULE: ./packages/calendar/src/date-table.vue?vue&type=script&lang=js&\n/* harmony default export */var calendar_src_date_tablevue_type_script_lang_js_=src_date_tablevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/calendar/src/date-table.vue\nvar date_table_render,date_table_staticRenderFns;/* normalize component */var src_date_table_component=normalizeComponent(calendar_src_date_tablevue_type_script_lang_js_,date_table_render,date_table_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var src_date_table_api; }src_date_table_component.options.__file=\"packages/calendar/src/date-table.vue\";/* harmony default export */var src_date_table=src_date_table_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/calendar/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar validTypes=['prev-month','today','next-month'];var weekDays=['Sunday','Monday','Tuesday','Wednesday','Thursday','Friday','Saturday'];var oneDay=86400000;/* harmony default export */var calendar_src_mainvue_type_script_lang_js_={name:'ElCalendar',mixins:[locale_default.a],components:{DateTable:src_date_table,ElButton:button_default.a,ElButtonGroup:button_group_default.a},props:{value:[Date,String,Number],range:{type:Array,validator:function validator(range){if(Array.isArray(range)){return range.length===2&&range.every(function(item){return typeof item==='string'||typeof item==='number'||item instanceof Date;});}else{return true;}}},firstDayOfWeek:{type:Number,default:1}},provide:function provide(){return{elCalendar:this};},methods:{pickDay:function pickDay(day){this.realSelectedDay=day;},selectDate:function selectDate(type){if(validTypes.indexOf(type)===-1){throw new Error('invalid type '+type);}var day='';if(type==='prev-month'){day=this.prevMonthDatePrefix+'-01';}else if(type==='next-month'){day=this.nextMonthDatePrefix+'-01';}else{day=this.formatedToday;}if(day===this.formatedDate)return;this.pickDay(day);},toDate:function toDate(val){if(!val){throw new Error('invalid val');}return val instanceof Date?val:new Date(val);},rangeValidator:function rangeValidator(date,isStart){var firstDayOfWeek=this.realFirstDayOfWeek;var expected=isStart?firstDayOfWeek:firstDayOfWeek===0?6:firstDayOfWeek-1;var message=(isStart?'start':'end')+' of range should be '+weekDays[expected]+'.';if(date.getDay()!==expected){console.warn('[ElementCalendar]',message,'Invalid range will be ignored.');return false;}return true;}},computed:{prevMonthDatePrefix:function prevMonthDatePrefix(){var temp=new Date(this.date.getTime());temp.setDate(0);return date_default.a.format(temp,'yyyy-MM');},curMonthDatePrefix:function curMonthDatePrefix(){return date_default.a.format(this.date,'yyyy-MM');},nextMonthDatePrefix:function nextMonthDatePrefix(){var temp=new Date(this.date.getFullYear(),this.date.getMonth()+1,1);return date_default.a.format(temp,'yyyy-MM');},formatedDate:function formatedDate(){return date_default.a.format(this.date,'yyyy-MM-dd');},i18nDate:function i18nDate(){var year=this.date.getFullYear();var month=this.date.getMonth()+1;return year+' '+this.t('el.datepicker.year')+' '+this.t('el.datepicker.month'+month);},formatedToday:function formatedToday(){return date_default.a.format(this.now,'yyyy-MM-dd');},realSelectedDay:{get:function get(){if(!this.value)return this.selectedDay;return this.formatedDate;},set:function set(val){this.selectedDay=val;var date=new Date(val);this.$emit('input',date);}},date:function date(){if(!this.value){if(this.realSelectedDay){var d=this.selectedDay.split('-');return new Date(d[0],d[1]-1,d[2]);}else if(this.validatedRange.length){return this.validatedRange[0][0];}return this.now;}else{return this.toDate(this.value);}},// if range is valid, we get a two-digit array\nvalidatedRange:function validatedRange(){var _this=this;var range=this.range;if(!range)return[];range=range.reduce(function(prev,val,index){var date=_this.toDate(val);if(_this.rangeValidator(date,index===0)){prev=prev.concat(date);}return prev;},[]);if(range.length===2){var _range=range,start=_range[0],end=_range[1];if(start>end){console.warn('[ElementCalendar]end time should be greater than start time');return[];}// start time and end time in one month\nif(Object(date_util_[\"validateRangeInOneMonth\"])(start,end)){return[[start,end]];}var data=[];var startDay=new Date(start.getFullYear(),start.getMonth()+1,1);var lastDay=this.toDate(startDay.getTime()-oneDay);if(!Object(date_util_[\"validateRangeInOneMonth\"])(startDay,end)){console.warn('[ElementCalendar]start time and end time interval must not exceed two months');return[];}// 第一个月的时间范围\ndata.push([start,lastDay]);// 下一月的时间范围，需要计算一下该月的第一个周起始日\nvar firstDayOfWeek=this.realFirstDayOfWeek;var nextMontFirstDay=startDay.getDay();var interval=0;if(nextMontFirstDay!==firstDayOfWeek){if(firstDayOfWeek===0){interval=7-nextMontFirstDay;}else{interval=firstDayOfWeek-nextMontFirstDay;interval=interval>0?interval:7+interval;}}startDay=this.toDate(startDay.getTime()+interval*oneDay);if(startDay.getDate()<end.getDate()){data.push([startDay,end]);}return data;}return[];},realFirstDayOfWeek:function realFirstDayOfWeek(){if(this.firstDayOfWeek<1||this.firstDayOfWeek>6){return 0;}return Math.floor(this.firstDayOfWeek);}},data:function data(){return{selectedDay:'',now:new Date()};}};// CONCATENATED MODULE: ./packages/calendar/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_calendar_src_mainvue_type_script_lang_js_=calendar_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/calendar/src/main.vue\n/* normalize component */var calendar_src_main_component=normalizeComponent(packages_calendar_src_mainvue_type_script_lang_js_,mainvue_type_template_id_6d9756be_render,mainvue_type_template_id_6d9756be_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var calendar_src_main_api; }calendar_src_main_component.options.__file=\"packages/calendar/src/main.vue\";/* harmony default export */var calendar_src_main=calendar_src_main_component.exports;// CONCATENATED MODULE: ./packages/calendar/index.js\n/* istanbul ignore next */calendar_src_main.install=function(Vue){Vue.component(calendar_src_main.name,calendar_src_main);};/* harmony default export */var calendar=calendar_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/backtop/src/main.vue?vue&type=template&id=257dd4a9&\nvar mainvue_type_template_id_257dd4a9_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-fade-in\"}},[_vm.visible?_c(\"div\",{staticClass:\"el-backtop\",style:{right:_vm.styleRight,bottom:_vm.styleBottom},on:{click:function($event){$event.stopPropagation();return _vm.handleClick($event);}}},[_vm._t(\"default\",[_c(\"el-icon\",{attrs:{name:\"caret-top\"}})])],2):_vm._e()]);};var mainvue_type_template_id_257dd4a9_staticRenderFns=[];mainvue_type_template_id_257dd4a9_render._withStripped=true;// CONCATENATED MODULE: ./packages/backtop/src/main.vue?vue&type=template&id=257dd4a9&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/backtop/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar cubic=function cubic(value){return Math.pow(value,3);};var easeInOutCubic=function easeInOutCubic(value){return value<0.5?cubic(value*2)/2:1-cubic((1-value)*2)/2;};/* harmony default export */var backtop_src_mainvue_type_script_lang_js_={name:'ElBacktop',props:{visibilityHeight:{type:Number,default:200},target:[String],right:{type:Number,default:40},bottom:{type:Number,default:40}},data:function data(){return{el:null,container:null,visible:false};},computed:{styleBottom:function styleBottom(){return this.bottom+'px';},styleRight:function styleRight(){return this.right+'px';}},mounted:function mounted(){this.init();this.throttledScrollHandler=throttle_default()(300,this.onScroll);this.container.addEventListener('scroll',this.throttledScrollHandler);},methods:{init:function init(){this.container=document;this.el=document.documentElement;if(this.target){this.el=document.querySelector(this.target);if(!this.el){throw new Error('target is not existed: '+this.target);}this.container=this.el;}},onScroll:function onScroll(){var scrollTop=this.el.scrollTop;this.visible=scrollTop>=this.visibilityHeight;},handleClick:function handleClick(e){this.scrollToTop();this.$emit('click',e);},scrollToTop:function scrollToTop(){var el=this.el;var beginTime=Date.now();var beginValue=el.scrollTop;var rAF=window.requestAnimationFrame||function(func){return setTimeout(func,16);};var frameFunc=function frameFunc(){var progress=(Date.now()-beginTime)/500;if(progress<1){el.scrollTop=beginValue*(1-easeInOutCubic(progress));rAF(frameFunc);}else{el.scrollTop=0;}};rAF(frameFunc);}},beforeDestroy:function beforeDestroy(){this.container.removeEventListener('scroll',this.throttledScrollHandler);}};// CONCATENATED MODULE: ./packages/backtop/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_backtop_src_mainvue_type_script_lang_js_=backtop_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/backtop/src/main.vue\n/* normalize component */var backtop_src_main_component=normalizeComponent(packages_backtop_src_mainvue_type_script_lang_js_,mainvue_type_template_id_257dd4a9_render,mainvue_type_template_id_257dd4a9_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var backtop_src_main_api; }backtop_src_main_component.options.__file=\"packages/backtop/src/main.vue\";/* harmony default export */var backtop_src_main=backtop_src_main_component.exports;// CONCATENATED MODULE: ./packages/backtop/index.js\n/* istanbul ignore next */backtop_src_main.install=function(Vue){Vue.component(backtop_src_main.name,backtop_src_main);};/* harmony default export */var backtop=backtop_src_main;// CONCATENATED MODULE: ./packages/infinite-scroll/src/main.js\nvar getStyleComputedProperty=function getStyleComputedProperty(element,property){if(element===window){element=document.documentElement;}if(element.nodeType!==1){return[];}// NOTE: 1 DOM access here\nvar css=window.getComputedStyle(element,null);return property?css[property]:css;};var entries=function entries(obj){return Object.keys(obj||{}).map(function(key){return[key,obj[key]];});};var getPositionSize=function getPositionSize(el,prop){return el===window||el===document?document.documentElement[prop]:el[prop];};var getOffsetHeight=function getOffsetHeight(el){return getPositionSize(el,'offsetHeight');};var getClientHeight=function getClientHeight(el){return getPositionSize(el,'clientHeight');};var scope='ElInfiniteScroll';var attributes={delay:{type:Number,default:200},distance:{type:Number,default:0},disabled:{type:Boolean,default:false},immediate:{type:Boolean,default:true}};var main_getScrollOptions=function getScrollOptions(el,vm){if(!Object(types_[\"isHtmlElement\"])(el))return{};return entries(attributes).reduce(function(map,_ref){var key=_ref[0],option=_ref[1];var type=option.type,defaultValue=option.default;var value=el.getAttribute('infinite-scroll-'+key);value=Object(types_[\"isUndefined\"])(vm[value])?value:vm[value];switch(type){case Number:value=Number(value);value=Number.isNaN(value)?defaultValue:value;break;case Boolean:value=Object(types_[\"isDefined\"])(value)?value==='false'?false:Boolean(value):defaultValue;break;default:value=type(value);}map[key]=value;return map;},{});};var getElementTop=function getElementTop(el){return el.getBoundingClientRect().top;};var main_handleScroll=function handleScroll(cb){var _scope=this[scope],el=_scope.el,vm=_scope.vm,container=_scope.container,observer=_scope.observer;var _getScrollOptions=main_getScrollOptions(el,vm),distance=_getScrollOptions.distance,disabled=_getScrollOptions.disabled;if(disabled)return;var containerInfo=container.getBoundingClientRect();if(!containerInfo.width&&!containerInfo.height)return;var shouldTrigger=false;if(container===el){// be aware of difference between clientHeight & offsetHeight & window.getComputedStyle().height\nvar scrollBottom=container.scrollTop+getClientHeight(container);shouldTrigger=container.scrollHeight-scrollBottom<=distance;}else{var heightBelowTop=getOffsetHeight(el)+getElementTop(el)-getElementTop(container);var offsetHeight=getOffsetHeight(container);var borderBottom=Number.parseFloat(getStyleComputedProperty(container,'borderBottomWidth'));shouldTrigger=heightBelowTop-offsetHeight+borderBottom<=distance;}if(shouldTrigger&&Object(types_[\"isFunction\"])(cb)){cb.call(vm);}else if(observer){observer.disconnect();this[scope].observer=null;}};/* harmony default export */var infinite_scroll_src_main={name:'InfiniteScroll',inserted:function inserted(el,binding,vnode){var cb=binding.value;var vm=vnode.context;// only include vertical scroll\nvar container=Object(dom_[\"getScrollContainer\"])(el,true);var _getScrollOptions2=main_getScrollOptions(el,vm),delay=_getScrollOptions2.delay,immediate=_getScrollOptions2.immediate;var onScroll=debounce_default()(delay,main_handleScroll.bind(el,cb));el[scope]={el:el,vm:vm,container:container,onScroll:onScroll};if(container){container.addEventListener('scroll',onScroll);if(immediate){var observer=el[scope].observer=new MutationObserver(onScroll);observer.observe(container,{childList:true,subtree:true});onScroll();}}},unbind:function unbind(el){var _el$scope=el[scope],container=_el$scope.container,onScroll=_el$scope.onScroll;if(container){container.removeEventListener('scroll',onScroll);}}};// CONCATENATED MODULE: ./packages/infinite-scroll/index.js\n/* istanbul ignore next */infinite_scroll_src_main.install=function(Vue){Vue.directive(infinite_scroll_src_main.name,infinite_scroll_src_main);};/* harmony default export */var infinite_scroll=infinite_scroll_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/page-header/src/main.vue?vue&type=template&id=5070954c&\nvar mainvue_type_template_id_5070954c_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-page-header\"},[_c(\"div\",{staticClass:\"el-page-header__left\",on:{click:function($event){_vm.$emit(\"back\");}}},[_c(\"i\",{staticClass:\"el-icon-back\"}),_c(\"div\",{staticClass:\"el-page-header__title\"},[_vm._t(\"title\",[_vm._v(_vm._s(_vm.title))])],2)]),_c(\"div\",{staticClass:\"el-page-header__content\"},[_vm._t(\"content\",[_vm._v(_vm._s(_vm.content))])],2)]);};var mainvue_type_template_id_5070954c_staticRenderFns=[];mainvue_type_template_id_5070954c_render._withStripped=true;// CONCATENATED MODULE: ./packages/page-header/src/main.vue?vue&type=template&id=5070954c&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/page-header/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var page_header_src_mainvue_type_script_lang_js_={name:'ElPageHeader',props:{title:{type:String,default:function _default(){return Object(lib_locale_[\"t\"])('el.pageHeader.title');}},content:String}};// CONCATENATED MODULE: ./packages/page-header/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_page_header_src_mainvue_type_script_lang_js_=page_header_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/page-header/src/main.vue\n/* normalize component */var page_header_src_main_component=normalizeComponent(packages_page_header_src_mainvue_type_script_lang_js_,mainvue_type_template_id_5070954c_render,mainvue_type_template_id_5070954c_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var page_header_src_main_api; }page_header_src_main_component.options.__file=\"packages/page-header/src/main.vue\";/* harmony default export */var page_header_src_main=page_header_src_main_component.exports;// CONCATENATED MODULE: ./packages/page-header/index.js\n/* istanbul ignore next */page_header_src_main.install=function(Vue){Vue.component(page_header_src_main.name,page_header_src_main);};/* harmony default export */var page_header=page_header_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader-panel/src/cascader-panel.vue?vue&type=template&id=34932346&\nvar cascader_panelvue_type_template_id_34932346_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{class:[\"el-cascader-panel\",_vm.border&&\"is-bordered\"],on:{keydown:_vm.handleKeyDown}},_vm._l(_vm.menus,function(menu,index){return _c(\"cascader-menu\",{key:index,ref:\"menu\",refInFor:true,attrs:{index:index,nodes:menu}});}),1);};var cascader_panelvue_type_template_id_34932346_staticRenderFns=[];cascader_panelvue_type_template_id_34932346_render._withStripped=true;// CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-panel.vue?vue&type=template&id=34932346&\n// EXTERNAL MODULE: external \"element-ui/lib/radio\"\nvar radio_=__nested_webpack_require_8056__(44);var radio_default=/*#__PURE__*/__nested_webpack_require_8056__.n(radio_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader-panel/src/cascader-node.vue?vue&type=script&lang=js&\nvar stopPropagation=function stopPropagation(e){return e.stopPropagation();};/* harmony default export */var cascader_nodevue_type_script_lang_js_={inject:['panel'],components:{ElCheckbox:checkbox_default.a,ElRadio:radio_default.a},props:{node:{required:true},nodeId:String},computed:{config:function config(){return this.panel.config;},isLeaf:function isLeaf(){return this.node.isLeaf;},isDisabled:function isDisabled(){return this.node.isDisabled;},checkedValue:function checkedValue(){return this.panel.checkedValue;},isChecked:function isChecked(){return this.node.isSameNode(this.checkedValue);},inActivePath:function inActivePath(){return this.isInPath(this.panel.activePath);},inCheckedPath:function inCheckedPath(){var _this=this;if(!this.config.checkStrictly)return false;return this.panel.checkedNodePaths.some(function(checkedPath){return _this.isInPath(checkedPath);});},value:function value(){return this.node.getValueByOption();}},methods:{handleExpand:function handleExpand(){var _this2=this;var panel=this.panel,node=this.node,isDisabled=this.isDisabled,config=this.config;var multiple=config.multiple,checkStrictly=config.checkStrictly;if(!checkStrictly&&isDisabled||node.loading)return;if(config.lazy&&!node.loaded){panel.lazyLoad(node,function(){// do not use cached leaf value here, invoke this.isLeaf to get new value.\nvar isLeaf=_this2.isLeaf;if(!isLeaf)_this2.handleExpand();if(multiple){// if leaf sync checked state, else clear checked state\nvar checked=isLeaf?node.checked:false;_this2.handleMultiCheckChange(checked);}});}else{panel.handleExpand(node);}},handleCheckChange:function handleCheckChange(){var panel=this.panel,value=this.value,node=this.node;panel.handleCheckChange(value);panel.handleExpand(node);},handleMultiCheckChange:function handleMultiCheckChange(checked){this.node.doCheck(checked);this.panel.calculateMultiCheckedValue();},isInPath:function isInPath(pathNodes){var node=this.node;var selectedPathNode=pathNodes[node.level-1]||{};return selectedPathNode.uid===node.uid;},renderPrefix:function renderPrefix(h){var isLeaf=this.isLeaf,isChecked=this.isChecked,config=this.config;var checkStrictly=config.checkStrictly,multiple=config.multiple;if(multiple){return this.renderCheckbox(h);}else if(checkStrictly){return this.renderRadio(h);}else if(isLeaf&&isChecked){return this.renderCheckIcon(h);}return null;},renderPostfix:function renderPostfix(h){var node=this.node,isLeaf=this.isLeaf;if(node.loading){return this.renderLoadingIcon(h);}else if(!isLeaf){return this.renderExpandIcon(h);}return null;},renderCheckbox:function renderCheckbox(h){var node=this.node,config=this.config,isDisabled=this.isDisabled;var events={on:{change:this.handleMultiCheckChange},nativeOn:{}};if(config.checkStrictly){// when every node is selectable, click event should not trigger expand event.\nevents.nativeOn.click=stopPropagation;}return h('el-checkbox',external_babel_helper_vue_jsx_merge_props_default()([{attrs:{value:node.checked,indeterminate:node.indeterminate,disabled:isDisabled}},events]));},renderRadio:function renderRadio(h){var checkedValue=this.checkedValue,value=this.value,isDisabled=this.isDisabled;// to keep same reference if value cause radio's checked state is calculated by reference comparision;\nif(Object(util_[\"isEqual\"])(value,checkedValue)){value=checkedValue;}return h('el-radio',{attrs:{value:checkedValue,label:value,disabled:isDisabled},on:{'change':this.handleCheckChange},nativeOn:{'click':stopPropagation}},[h('span')]);},renderCheckIcon:function renderCheckIcon(h){return h('i',{'class':'el-icon-check el-cascader-node__prefix'});},renderLoadingIcon:function renderLoadingIcon(h){return h('i',{'class':'el-icon-loading el-cascader-node__postfix'});},renderExpandIcon:function renderExpandIcon(h){return h('i',{'class':'el-icon-arrow-right el-cascader-node__postfix'});},renderContent:function renderContent(h){var panel=this.panel,node=this.node;var render=panel.renderLabelFn;var vnode=render?render({node:node,data:node.data}):null;return h('span',{'class':'el-cascader-node__label'},[vnode||node.label]);}},render:function render(h){var _this3=this;var inActivePath=this.inActivePath,inCheckedPath=this.inCheckedPath,isChecked=this.isChecked,isLeaf=this.isLeaf,isDisabled=this.isDisabled,config=this.config,nodeId=this.nodeId;var expandTrigger=config.expandTrigger,checkStrictly=config.checkStrictly,multiple=config.multiple;var disabled=!checkStrictly&&isDisabled;var events={on:{}};if(expandTrigger==='click'){events.on.click=this.handleExpand;}else{events.on.mouseenter=function(e){_this3.handleExpand();_this3.$emit('expand',e);};events.on.focus=function(e){_this3.handleExpand();_this3.$emit('expand',e);};}if(isLeaf&&!isDisabled&&!checkStrictly&&!multiple){events.on.click=this.handleCheckChange;}return h('li',external_babel_helper_vue_jsx_merge_props_default()([{attrs:{role:'menuitem',id:nodeId,'aria-expanded':inActivePath,tabindex:disabled?null:-1},'class':{'el-cascader-node':true,'is-selectable':checkStrictly,'in-active-path':inActivePath,'in-checked-path':inCheckedPath,'is-active':isChecked,'is-disabled':disabled}},events]),[this.renderPrefix(h),this.renderContent(h),this.renderPostfix(h)]);}};// CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-node.vue?vue&type=script&lang=js&\n/* harmony default export */var src_cascader_nodevue_type_script_lang_js_=cascader_nodevue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-node.vue\nvar cascader_node_render,cascader_node_staticRenderFns;/* normalize component */var cascader_node_component=normalizeComponent(src_cascader_nodevue_type_script_lang_js_,cascader_node_render,cascader_node_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var cascader_node_api; }cascader_node_component.options.__file=\"packages/cascader-panel/src/cascader-node.vue\";/* harmony default export */var cascader_node=cascader_node_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader-panel/src/cascader-menu.vue?vue&type=script&lang=js&\n/* harmony default export */var cascader_menuvue_type_script_lang_js_={name:'ElCascaderMenu',mixins:[locale_default.a],inject:['panel'],components:{ElScrollbar:scrollbar_default.a,CascaderNode:cascader_node},props:{nodes:{type:Array,required:true},index:Number},data:function data(){return{activeNode:null,hoverTimer:null,id:Object(util_[\"generateId\"])()};},computed:{isEmpty:function isEmpty(){return!this.nodes.length;},menuId:function menuId(){return'cascader-menu-'+this.id+'-'+this.index;}},methods:{handleExpand:function handleExpand(e){this.activeNode=e.target;},handleMouseMove:function handleMouseMove(e){var activeNode=this.activeNode,hoverTimer=this.hoverTimer;var hoverZone=this.$refs.hoverZone;if(!activeNode||!hoverZone)return;if(activeNode.contains(e.target)){clearTimeout(hoverTimer);var _$el$getBoundingClien=this.$el.getBoundingClientRect(),left=_$el$getBoundingClien.left;var startX=e.clientX-left;var _$el=this.$el,offsetWidth=_$el.offsetWidth,offsetHeight=_$el.offsetHeight;var top=activeNode.offsetTop;var bottom=top+activeNode.offsetHeight;hoverZone.innerHTML='\\n          <path style=\"pointer-events: auto;\" fill=\"transparent\" d=\"M'+startX+' '+top+' L'+offsetWidth+' 0 V'+top+' Z\" />\\n          <path style=\"pointer-events: auto;\" fill=\"transparent\" d=\"M'+startX+' '+bottom+' L'+offsetWidth+' '+offsetHeight+' V'+bottom+' Z\" />\\n        ';}else if(!hoverTimer){this.hoverTimer=setTimeout(this.clearHoverZone,this.panel.config.hoverThreshold);}},clearHoverZone:function clearHoverZone(){var hoverZone=this.$refs.hoverZone;if(!hoverZone)return;hoverZone.innerHTML='';},renderEmptyText:function renderEmptyText(h){return h('div',{'class':'el-cascader-menu__empty-text'},[this.t('el.cascader.noData')]);},renderNodeList:function renderNodeList(h){var menuId=this.menuId;var isHoverMenu=this.panel.isHoverMenu;var events={on:{}};if(isHoverMenu){events.on.expand=this.handleExpand;}var nodes=this.nodes.map(function(node,index){var hasChildren=node.hasChildren;return h('cascader-node',external_babel_helper_vue_jsx_merge_props_default()([{key:node.uid,attrs:{node:node,'node-id':menuId+'-'+index,'aria-haspopup':hasChildren,'aria-owns':hasChildren?menuId:null}},events]));});return[].concat(nodes,[isHoverMenu?h('svg',{ref:'hoverZone','class':'el-cascader-menu__hover-zone'}):null]);}},render:function render(h){var isEmpty=this.isEmpty,menuId=this.menuId;var events={nativeOn:{}};// optimize hover to expand experience (#8010)\nif(this.panel.isHoverMenu){events.nativeOn.mousemove=this.handleMouseMove;// events.nativeOn.mouseleave = this.clearHoverZone;\n}return h('el-scrollbar',external_babel_helper_vue_jsx_merge_props_default()([{attrs:{tag:'ul',role:'menu',id:menuId,'wrap-class':'el-cascader-menu__wrap','view-class':{'el-cascader-menu__list':true,'is-empty':isEmpty}},'class':'el-cascader-menu'},events]),[isEmpty?this.renderEmptyText(h):this.renderNodeList(h)]);}};// CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-menu.vue?vue&type=script&lang=js&\n/* harmony default export */var src_cascader_menuvue_type_script_lang_js_=cascader_menuvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-menu.vue\nvar cascader_menu_render,cascader_menu_staticRenderFns;/* normalize component */var cascader_menu_component=normalizeComponent(src_cascader_menuvue_type_script_lang_js_,cascader_menu_render,cascader_menu_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var cascader_menu_api; }cascader_menu_component.options.__file=\"packages/cascader-panel/src/cascader-menu.vue\";/* harmony default export */var cascader_menu=cascader_menu_component.exports;// CONCATENATED MODULE: ./packages/cascader-panel/src/node.js\nvar node_createClass=function(){function defineProperties(target,props){for(var i=0;i<props.length;i++){var descriptor=props[i];descriptor.enumerable=descriptor.enumerable||false;descriptor.configurable=true;if(\"value\"in descriptor)descriptor.writable=true;Object.defineProperty(target,descriptor.key,descriptor);}}return function(Constructor,protoProps,staticProps){if(protoProps)defineProperties(Constructor.prototype,protoProps);if(staticProps)defineProperties(Constructor,staticProps);return Constructor;};}();function src_node_classCallCheck(instance,Constructor){if(!(instance instanceof Constructor)){throw new TypeError(\"Cannot call a class as a function\");}}var uid=0;var src_node_Node=function(){function Node(data,config,parentNode){src_node_classCallCheck(this,Node);this.data=data;this.config=config;this.parent=parentNode||null;this.level=!this.parent?1:this.parent.level+1;this.uid=uid++;this.initState();this.initChildren();}Node.prototype.initState=function initState(){var _config=this.config,valueKey=_config.value,labelKey=_config.label;this.value=this.data[valueKey];this.label=this.data[labelKey];this.pathNodes=this.calculatePathNodes();this.path=this.pathNodes.map(function(node){return node.value;});this.pathLabels=this.pathNodes.map(function(node){return node.label;});// lazy load\nthis.loading=false;this.loaded=false;};Node.prototype.initChildren=function initChildren(){var _this=this;var config=this.config;var childrenKey=config.children;var childrenData=this.data[childrenKey];this.hasChildren=Array.isArray(childrenData);this.children=(childrenData||[]).map(function(child){return new Node(child,config,_this);});};Node.prototype.calculatePathNodes=function calculatePathNodes(){var nodes=[this];var parent=this.parent;while(parent){nodes.unshift(parent);parent=parent.parent;}return nodes;};Node.prototype.getPath=function getPath(){return this.path;};Node.prototype.getValue=function getValue(){return this.value;};Node.prototype.getValueByOption=function getValueByOption(){return this.config.emitPath?this.getPath():this.getValue();};Node.prototype.getText=function getText(allLevels,separator){return allLevels?this.pathLabels.join(separator):this.label;};Node.prototype.isSameNode=function isSameNode(checkedValue){var value=this.getValueByOption();return this.config.multiple&&Array.isArray(checkedValue)?checkedValue.some(function(val){return Object(util_[\"isEqual\"])(val,value);}):Object(util_[\"isEqual\"])(checkedValue,value);};Node.prototype.broadcast=function broadcast(event){for(var _len=arguments.length,args=Array(_len>1?_len-1:0),_key=1;_key<_len;_key++){args[_key-1]=arguments[_key];}var handlerName='onParent'+Object(util_[\"capitalize\"])(event);this.children.forEach(function(child){if(child){// bottom up\nchild.broadcast.apply(child,[event].concat(args));child[handlerName]&&child[handlerName].apply(child,args);}});};Node.prototype.emit=function emit(event){var parent=this.parent;var handlerName='onChild'+Object(util_[\"capitalize\"])(event);if(parent){for(var _len2=arguments.length,args=Array(_len2>1?_len2-1:0),_key2=1;_key2<_len2;_key2++){args[_key2-1]=arguments[_key2];}parent[handlerName]&&parent[handlerName].apply(parent,args);parent.emit.apply(parent,[event].concat(args));}};Node.prototype.onParentCheck=function onParentCheck(checked){if(!this.isDisabled){this.setCheckState(checked);}};Node.prototype.onChildCheck=function onChildCheck(){var children=this.children;var validChildren=children.filter(function(child){return!child.isDisabled;});var checked=validChildren.length?validChildren.every(function(child){return child.checked;}):false;this.setCheckState(checked);};Node.prototype.setCheckState=function setCheckState(checked){var totalNum=this.children.length;var checkedNum=this.children.reduce(function(c,p){var num=p.checked?1:p.indeterminate?0.5:0;return c+num;},0);this.checked=checked;this.indeterminate=checkedNum!==totalNum&&checkedNum>0;};Node.prototype.syncCheckState=function syncCheckState(checkedValue){var value=this.getValueByOption();var checked=this.isSameNode(checkedValue,value);this.doCheck(checked);};Node.prototype.doCheck=function doCheck(checked){if(this.checked!==checked){if(this.config.checkStrictly){this.checked=checked;}else{// bottom up to unify the calculation of the indeterminate state\nthis.broadcast('check',checked);this.setCheckState(checked);this.emit('check');}}};node_createClass(Node,[{key:'isDisabled',get:function get(){var data=this.data,parent=this.parent,config=this.config;var disabledKey=config.disabled;var checkStrictly=config.checkStrictly;return data[disabledKey]||!checkStrictly&&parent&&parent.isDisabled;}},{key:'isLeaf',get:function get(){var data=this.data,loaded=this.loaded,hasChildren=this.hasChildren,children=this.children;var _config2=this.config,lazy=_config2.lazy,leafKey=_config2.leaf;if(lazy){var isLeaf=Object(shared_[\"isDef\"])(data[leafKey])?data[leafKey]:loaded?!children.length:false;this.hasChildren=!isLeaf;return isLeaf;}return!hasChildren;}}]);return Node;}();/* harmony default export */var src_node=src_node_Node;// CONCATENATED MODULE: ./packages/cascader-panel/src/store.js\nfunction store_classCallCheck(instance,Constructor){if(!(instance instanceof Constructor)){throw new TypeError(\"Cannot call a class as a function\");}}var flatNodes=function flatNodes(data,leafOnly){return data.reduce(function(res,node){if(node.isLeaf){res.push(node);}else{!leafOnly&&res.push(node);res=res.concat(flatNodes(node.children,leafOnly));}return res;},[]);};var store_Store=function(){function Store(data,config){store_classCallCheck(this,Store);this.config=config;this.initNodes(data);}Store.prototype.initNodes=function initNodes(data){var _this=this;data=Object(util_[\"coerceTruthyValueToArray\"])(data);this.nodes=data.map(function(nodeData){return new src_node(nodeData,_this.config);});this.flattedNodes=this.getFlattedNodes(false,false);this.leafNodes=this.getFlattedNodes(true,false);};Store.prototype.appendNode=function appendNode(nodeData,parentNode){var node=new src_node(nodeData,this.config,parentNode);var children=parentNode?parentNode.children:this.nodes;children.push(node);};Store.prototype.appendNodes=function appendNodes(nodeDataList,parentNode){var _this2=this;nodeDataList=Object(util_[\"coerceTruthyValueToArray\"])(nodeDataList);nodeDataList.forEach(function(nodeData){return _this2.appendNode(nodeData,parentNode);});};Store.prototype.getNodes=function getNodes(){return this.nodes;};Store.prototype.getFlattedNodes=function getFlattedNodes(leafOnly){var cached=arguments.length>1&&arguments[1]!==undefined?arguments[1]:true;var cachedNodes=leafOnly?this.leafNodes:this.flattedNodes;return cached?cachedNodes:flatNodes(this.nodes,leafOnly);};Store.prototype.getNodeByValue=function getNodeByValue(value){var nodes=this.getFlattedNodes(false,!this.config.lazy).filter(function(node){return Object(util_[\"valueEquals\"])(node.path,value)||node.value===value;});return nodes&&nodes.length?nodes[0]:null;};return Store;}();/* harmony default export */var cascader_panel_src_store=store_Store;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/cascader-panel/src/cascader-panel.vue?vue&type=script&lang=js&\nvar cascader_panelvue_type_script_lang_js_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar cascader_panelvue_type_script_lang_js_KeyCode=aria_utils_default.a.keys;var DefaultProps={expandTrigger:'click',// or hover\nmultiple:false,checkStrictly:false,// whether all nodes can be selected\nemitPath:true,// wether to emit an array of all levels value in which node is located\nlazy:false,lazyLoad:util_[\"noop\"],value:'value',label:'label',children:'children',leaf:'leaf',disabled:'disabled',hoverThreshold:500};var cascader_panelvue_type_script_lang_js_isLeaf=function isLeaf(el){return!el.getAttribute('aria-owns');};var getSibling=function getSibling(el,distance){var parentNode=el.parentNode;if(parentNode){var siblings=parentNode.querySelectorAll('.el-cascader-node[tabindex=\"-1\"]');var index=Array.prototype.indexOf.call(siblings,el);return siblings[index+distance]||null;}return null;};var getMenuIndex=function getMenuIndex(el,distance){if(!el)return;var pieces=el.id.split('-');return Number(pieces[pieces.length-2]);};var focusNode=function focusNode(el){if(!el)return;el.focus();!cascader_panelvue_type_script_lang_js_isLeaf(el)&&el.click();};var checkNode=function checkNode(el){if(!el)return;var input=el.querySelector('input');if(input){input.click();}else if(cascader_panelvue_type_script_lang_js_isLeaf(el)){el.click();}};/* harmony default export */var cascader_panelvue_type_script_lang_js_={name:'ElCascaderPanel',components:{CascaderMenu:cascader_menu},props:{value:{},options:Array,props:Object,border:{type:Boolean,default:true},renderLabel:Function},provide:function provide(){return{panel:this};},data:function data(){return{checkedValue:null,checkedNodePaths:[],store:[],menus:[],activePath:[],loadCount:0};},computed:{config:function config(){return merge_default()(cascader_panelvue_type_script_lang_js_extends({},DefaultProps),this.props||{});},multiple:function multiple(){return this.config.multiple;},checkStrictly:function checkStrictly(){return this.config.checkStrictly;},leafOnly:function leafOnly(){return!this.checkStrictly;},isHoverMenu:function isHoverMenu(){return this.config.expandTrigger==='hover';},renderLabelFn:function renderLabelFn(){return this.renderLabel||this.$scopedSlots.default;}},watch:{value:function value(){this.syncCheckedValue();this.checkStrictly&&this.calculateCheckedNodePaths();},options:{handler:function handler(){this.initStore();},immediate:true,deep:true},checkedValue:function checkedValue(val){if(!Object(util_[\"isEqual\"])(val,this.value)){this.checkStrictly&&this.calculateCheckedNodePaths();this.$emit('input',val);this.$emit('change',val);}}},mounted:function mounted(){if(!this.isEmptyValue(this.value)){this.syncCheckedValue();}},methods:{initStore:function initStore(){var config=this.config,options=this.options;if(config.lazy&&Object(util_[\"isEmpty\"])(options)){this.lazyLoad();}else{this.store=new cascader_panel_src_store(options,config);this.menus=[this.store.getNodes()];this.syncMenuState();}},syncCheckedValue:function syncCheckedValue(){var value=this.value,checkedValue=this.checkedValue;if(!Object(util_[\"isEqual\"])(value,checkedValue)){this.activePath=[];this.checkedValue=value;this.syncMenuState();}},syncMenuState:function syncMenuState(){var multiple=this.multiple,checkStrictly=this.checkStrictly;this.syncActivePath();multiple&&this.syncMultiCheckState();checkStrictly&&this.calculateCheckedNodePaths();this.$nextTick(this.scrollIntoView);},syncMultiCheckState:function syncMultiCheckState(){var _this=this;var nodes=this.getFlattedNodes(this.leafOnly);nodes.forEach(function(node){node.syncCheckState(_this.checkedValue);});},isEmptyValue:function isEmptyValue(val){var multiple=this.multiple,config=this.config;var emitPath=config.emitPath;if(multiple||emitPath){return Object(util_[\"isEmpty\"])(val);}return false;},syncActivePath:function syncActivePath(){var _this2=this;var store=this.store,multiple=this.multiple,activePath=this.activePath,checkedValue=this.checkedValue;if(!Object(util_[\"isEmpty\"])(activePath)){var nodes=activePath.map(function(node){return _this2.getNodeByValue(node.getValue());});this.expandNodes(nodes);}else if(!this.isEmptyValue(checkedValue)){var value=multiple?checkedValue[0]:checkedValue;var checkedNode=this.getNodeByValue(value)||{};var _nodes=(checkedNode.pathNodes||[]).slice(0,-1);this.expandNodes(_nodes);}else{this.activePath=[];this.menus=[store.getNodes()];}},expandNodes:function expandNodes(nodes){var _this3=this;nodes.forEach(function(node){return _this3.handleExpand(node,true/* silent */);});},calculateCheckedNodePaths:function calculateCheckedNodePaths(){var _this4=this;var checkedValue=this.checkedValue,multiple=this.multiple;var checkedValues=multiple?Object(util_[\"coerceTruthyValueToArray\"])(checkedValue):[checkedValue];this.checkedNodePaths=checkedValues.map(function(v){var checkedNode=_this4.getNodeByValue(v);return checkedNode?checkedNode.pathNodes:[];});},handleKeyDown:function handleKeyDown(e){var target=e.target,keyCode=e.keyCode;switch(keyCode){case cascader_panelvue_type_script_lang_js_KeyCode.up:var prev=getSibling(target,-1);focusNode(prev);break;case cascader_panelvue_type_script_lang_js_KeyCode.down:var next=getSibling(target,1);focusNode(next);break;case cascader_panelvue_type_script_lang_js_KeyCode.left:var preMenu=this.$refs.menu[getMenuIndex(target)-1];if(preMenu){var expandedNode=preMenu.$el.querySelector('.el-cascader-node[aria-expanded=\"true\"]');focusNode(expandedNode);}break;case cascader_panelvue_type_script_lang_js_KeyCode.right:var nextMenu=this.$refs.menu[getMenuIndex(target)+1];if(nextMenu){var firstNode=nextMenu.$el.querySelector('.el-cascader-node[tabindex=\"-1\"]');focusNode(firstNode);}break;case cascader_panelvue_type_script_lang_js_KeyCode.enter:checkNode(target);break;case cascader_panelvue_type_script_lang_js_KeyCode.esc:case cascader_panelvue_type_script_lang_js_KeyCode.tab:this.$emit('close');break;default:return;}},handleExpand:function handleExpand(node,silent){var activePath=this.activePath;var level=node.level;var path=activePath.slice(0,level-1);var menus=this.menus.slice(0,level);if(!node.isLeaf){path.push(node);menus.push(node.children);}this.activePath=path;this.menus=menus;if(!silent){var pathValues=path.map(function(node){return node.getValue();});var activePathValues=activePath.map(function(node){return node.getValue();});if(!Object(util_[\"valueEquals\"])(pathValues,activePathValues)){this.$emit('active-item-change',pathValues);// Deprecated\nthis.$emit('expand-change',pathValues);}}},handleCheckChange:function handleCheckChange(value){this.checkedValue=value;},lazyLoad:function lazyLoad(node,onFullfiled){var _this5=this;var config=this.config;if(!node){node=node||{root:true,level:0};this.store=new cascader_panel_src_store([],config);this.menus=[this.store.getNodes()];}node.loading=true;var resolve=function resolve(dataList){var parent=node.root?null:node;dataList&&dataList.length&&_this5.store.appendNodes(dataList,parent);node.loading=false;node.loaded=true;// dispose default value on lazy load mode\nif(Array.isArray(_this5.checkedValue)){var nodeValue=_this5.checkedValue[_this5.loadCount++];var valueKey=_this5.config.value;var leafKey=_this5.config.leaf;if(Array.isArray(dataList)&&dataList.filter(function(item){return item[valueKey]===nodeValue;}).length>0){var checkedNode=_this5.store.getNodeByValue(nodeValue);if(!checkedNode.data[leafKey]){_this5.lazyLoad(checkedNode,function(){_this5.handleExpand(checkedNode);});}if(_this5.loadCount===_this5.checkedValue.length){_this5.$parent.computePresentText();}}}onFullfiled&&onFullfiled(dataList);};config.lazyLoad(node,resolve);},/**\n     * public methods\n    */calculateMultiCheckedValue:function calculateMultiCheckedValue(){this.checkedValue=this.getCheckedNodes(this.leafOnly).map(function(node){return node.getValueByOption();});},scrollIntoView:function scrollIntoView(){if(this.$isServer)return;var menus=this.$refs.menu||[];menus.forEach(function(menu){var menuElement=menu.$el;if(menuElement){var container=menuElement.querySelector('.el-scrollbar__wrap');var activeNode=menuElement.querySelector('.el-cascader-node.is-active')||menuElement.querySelector('.el-cascader-node.in-active-path');scroll_into_view_default()(container,activeNode);}});},getNodeByValue:function getNodeByValue(val){return this.store.getNodeByValue(val);},getFlattedNodes:function getFlattedNodes(leafOnly){var cached=!this.config.lazy;return this.store.getFlattedNodes(leafOnly,cached);},getCheckedNodes:function getCheckedNodes(leafOnly){var checkedValue=this.checkedValue,multiple=this.multiple;if(multiple){var nodes=this.getFlattedNodes(leafOnly);return nodes.filter(function(node){return node.checked;});}else{return this.isEmptyValue(checkedValue)?[]:[this.getNodeByValue(checkedValue)];}},clearCheckedNodes:function clearCheckedNodes(){var config=this.config,leafOnly=this.leafOnly;var multiple=config.multiple,emitPath=config.emitPath;if(multiple){this.getCheckedNodes(leafOnly).filter(function(node){return!node.isDisabled;}).forEach(function(node){return node.doCheck(false);});this.calculateMultiCheckedValue();}else{this.checkedValue=emitPath?[]:null;}}}};// CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-panel.vue?vue&type=script&lang=js&\n/* harmony default export */var src_cascader_panelvue_type_script_lang_js_=cascader_panelvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/cascader-panel/src/cascader-panel.vue\n/* normalize component */var cascader_panel_component=normalizeComponent(src_cascader_panelvue_type_script_lang_js_,cascader_panelvue_type_template_id_34932346_render,cascader_panelvue_type_template_id_34932346_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var cascader_panel_api; }cascader_panel_component.options.__file=\"packages/cascader-panel/src/cascader-panel.vue\";/* harmony default export */var cascader_panel=cascader_panel_component.exports;// CONCATENATED MODULE: ./packages/cascader-panel/index.js\n/* istanbul ignore next */cascader_panel.install=function(Vue){Vue.component(cascader_panel.name,cascader_panel);};/* harmony default export */var packages_cascader_panel=cascader_panel;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/avatar/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var avatar_src_mainvue_type_script_lang_js_={name:'ElAvatar',props:{size:{type:[Number,String],validator:function validator(val){if(typeof val==='string'){return['large','medium','small'].includes(val);}return typeof val==='number';}},shape:{type:String,default:'circle',validator:function validator(val){return['circle','square'].includes(val);}},icon:String,src:String,alt:String,srcSet:String,error:Function,fit:{type:String,default:'cover'}},data:function data(){return{isImageExist:true};},computed:{avatarClass:function avatarClass(){var size=this.size,icon=this.icon,shape=this.shape;var classList=['el-avatar'];if(size&&typeof size==='string'){classList.push('el-avatar--'+size);}if(icon){classList.push('el-avatar--icon');}if(shape){classList.push('el-avatar--'+shape);}return classList.join(' ');}},methods:{handleError:function handleError(){var error=this.error;var errorFlag=error?error():undefined;if(errorFlag!==false){this.isImageExist=false;}},renderAvatar:function renderAvatar(){var h=this.$createElement;var icon=this.icon,src=this.src,alt=this.alt,isImageExist=this.isImageExist,srcSet=this.srcSet,fit=this.fit;if(isImageExist&&src){return h('img',{attrs:{src:src,alt:alt,srcSet:srcSet},on:{'error':this.handleError},style:{'object-fit':fit}});}if(icon){return h('i',{'class':icon});}return this.$slots.default;}},render:function render(){var h=arguments[0];var avatarClass=this.avatarClass,size=this.size;var sizeStyle=typeof size==='number'?{height:size+'px',width:size+'px',lineHeight:size+'px'}:{};return h('span',{'class':avatarClass,style:sizeStyle},[this.renderAvatar()]);}};// CONCATENATED MODULE: ./packages/avatar/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_avatar_src_mainvue_type_script_lang_js_=avatar_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/avatar/src/main.vue\nvar src_main_render,src_main_staticRenderFns;/* normalize component */var avatar_src_main_component=normalizeComponent(packages_avatar_src_mainvue_type_script_lang_js_,src_main_render,src_main_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var avatar_src_main_api; }avatar_src_main_component.options.__file=\"packages/avatar/src/main.vue\";/* harmony default export */var avatar_src_main=avatar_src_main_component.exports;// CONCATENATED MODULE: ./packages/avatar/index.js\n/* istanbul ignore next */avatar_src_main.install=function(Vue){Vue.component(avatar_src_main.name,avatar_src_main);};/* harmony default export */var avatar=avatar_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/drawer/src/main.vue?vue&type=template&id=a4885264&\nvar mainvue_type_template_id_a4885264_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"transition\",{attrs:{name:\"el-drawer-fade\"},on:{\"after-enter\":_vm.afterEnter,\"after-leave\":_vm.afterLeave}},[_c(\"div\",{directives:[{name:\"show\",rawName:\"v-show\",value:_vm.visible,expression:\"visible\"}],staticClass:\"el-drawer__wrapper\",attrs:{tabindex:\"-1\"}},[_c(\"div\",{staticClass:\"el-drawer__container\",class:_vm.visible&&\"el-drawer__open\",attrs:{role:\"document\",tabindex:\"-1\"},on:{click:function($event){if($event.target!==$event.currentTarget){return null;}return _vm.handleWrapperClick($event);}}},[_c(\"div\",{ref:\"drawer\",staticClass:\"el-drawer\",class:[_vm.direction,_vm.customClass],style:_vm.isHorizontal?\"width: \"+_vm.drawerSize:\"height: \"+_vm.drawerSize,attrs:{\"aria-modal\":\"true\",\"aria-labelledby\":\"el-drawer__title\",\"aria-label\":_vm.title,role:\"dialog\",tabindex:\"-1\"}},[_vm.withHeader?_c(\"header\",{staticClass:\"el-drawer__header\",attrs:{id:\"el-drawer__title\"}},[_vm._t(\"title\",[_c(\"span\",{attrs:{role:\"heading\",title:_vm.title}},[_vm._v(_vm._s(_vm.title))])]),_vm.showClose?_c(\"button\",{staticClass:\"el-drawer__close-btn\",attrs:{\"aria-label\":\"close \"+(_vm.title||\"drawer\"),type:\"button\"},on:{click:_vm.closeDrawer}},[_c(\"i\",{staticClass:\"el-dialog__close el-icon el-icon-close\"})]):_vm._e()],2):_vm._e(),_vm.rendered?_c(\"section\",{staticClass:\"el-drawer__body\"},[_vm._t(\"default\")],2):_vm._e()])])])]);};var mainvue_type_template_id_a4885264_staticRenderFns=[];mainvue_type_template_id_a4885264_render._withStripped=true;// CONCATENATED MODULE: ./packages/drawer/src/main.vue?vue&type=template&id=a4885264&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/drawer/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var drawer_src_mainvue_type_script_lang_js_={name:'ElDrawer',mixins:[popup_default.a,emitter_default.a],props:{appendToBody:{type:Boolean,default:false},beforeClose:{type:Function},customClass:{type:String,default:''},closeOnPressEscape:{type:Boolean,default:true},destroyOnClose:{type:Boolean,default:false},modal:{type:Boolean,default:true},direction:{type:String,default:'rtl',validator:function validator(val){return['ltr','rtl','ttb','btt'].indexOf(val)!==-1;}},modalAppendToBody:{type:Boolean,default:true},showClose:{type:Boolean,default:true},size:{type:[Number,String],default:'30%'},title:{type:String,default:''},visible:{type:Boolean},wrapperClosable:{type:Boolean,default:true},withHeader:{type:Boolean,default:true}},computed:{isHorizontal:function isHorizontal(){return this.direction==='rtl'||this.direction==='ltr';},drawerSize:function drawerSize(){return typeof this.size==='number'?this.size+'px':this.size;}},data:function data(){return{closed:false,prevActiveElement:null};},watch:{visible:function visible(val){var _this=this;if(val){this.closed=false;this.$emit('open');if(this.appendToBody){document.body.appendChild(this.$el);}this.prevActiveElement=document.activeElement;}else{if(!this.closed){this.$emit('close');if(this.destroyOnClose===true){this.rendered=false;}}this.$nextTick(function(){if(_this.prevActiveElement){_this.prevActiveElement.focus();}});}}},methods:{afterEnter:function afterEnter(){this.$emit('opened');},afterLeave:function afterLeave(){this.$emit('closed');},hide:function hide(cancel){if(cancel!==false){this.$emit('update:visible',false);this.$emit('close');if(this.destroyOnClose===true){this.rendered=false;}this.closed=true;}},handleWrapperClick:function handleWrapperClick(){if(this.wrapperClosable){this.closeDrawer();}},closeDrawer:function closeDrawer(){if(typeof this.beforeClose==='function'){this.beforeClose(this.hide);}else{this.hide();}},handleClose:function handleClose(){// This method here will be called by PopupManger, when the `closeOnPressEscape` was set to true\n// pressing `ESC` will call this method, and also close the drawer.\n// This method also calls `beforeClose` if there was one.\nthis.closeDrawer();}},mounted:function mounted(){if(this.visible){this.rendered=true;this.open();if(this.appendToBody){document.body.appendChild(this.$el);}}},destroyed:function destroyed(){// if appendToBody is true, remove DOM node after destroy\nif(this.appendToBody&&this.$el&&this.$el.parentNode){this.$el.parentNode.removeChild(this.$el);}}};// CONCATENATED MODULE: ./packages/drawer/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_drawer_src_mainvue_type_script_lang_js_=drawer_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/drawer/src/main.vue\n/* normalize component */var drawer_src_main_component=normalizeComponent(packages_drawer_src_mainvue_type_script_lang_js_,mainvue_type_template_id_a4885264_render,mainvue_type_template_id_a4885264_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var drawer_src_main_api; }drawer_src_main_component.options.__file=\"packages/drawer/src/main.vue\";/* harmony default export */var drawer_src_main=drawer_src_main_component.exports;// CONCATENATED MODULE: ./packages/drawer/index.js\n/* istanbul ignore next */drawer_src_main.install=function(Vue){Vue.component(drawer_src_main.name,drawer_src_main);};/* harmony default export */var drawer=drawer_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/statistic/src/main.vue?vue&type=template&id=76339aa7&\nvar mainvue_type_template_id_76339aa7_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-statistic\"},[_vm.title||_vm.$slots.title?_c(\"div\",{staticClass:\"head\"},[_vm._t(\"title\",[_c(\"span\",{staticClass:\"title\"},[_vm._v(\"\\n        \"+_vm._s(_vm.title)+\"\\n      \")])])],2):_vm._e(),_c(\"div\",{staticClass:\"con\"},[_vm.prefix||_vm.$slots.prefix?_c(\"span\",{staticClass:\"prefix\"},[_vm._t(\"prefix\",[_vm._v(\"\\n        \"+_vm._s(_vm.prefix)+\"\\n      \")])],2):_vm._e(),_c(\"span\",{staticClass:\"number\",style:_vm.valueStyle},[_vm._t(\"formatter\",[_vm._v(\" \"+_vm._s(_vm.disposeValue))])],2),_vm.suffix||_vm.$slots.suffix?_c(\"span\",{staticClass:\"suffix\"},[_vm._t(\"suffix\",[_vm._v(\"\\n        \"+_vm._s(_vm.suffix)+\"\\n      \")])],2):_vm._e()])]);};var mainvue_type_template_id_76339aa7_staticRenderFns=[];mainvue_type_template_id_76339aa7_render._withStripped=true;// CONCATENATED MODULE: ./packages/statistic/src/main.vue?vue&type=template&id=76339aa7&\n// EXTERNAL MODULE: external \"element-ui/lib/utils/lodash\"\nvar lodash_=__nested_webpack_require_8056__(28);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/statistic/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var statistic_src_mainvue_type_script_lang_js_={name:'ElStatistic',data:function data(){return{disposeValue:'',timeTask:null,REFRESH_INTERVAL:1000/30};},props:{decimalSeparator:{type:String,default:'.'},groupSeparator:{type:String,default:''},precision:{type:Number,default:null},value:{type:[String,Number],default:''},prefix:{type:String,default:''},suffix:{type:String,default:''},title:{type:[String,Number],default:''},timeIndices:{type:Boolean,default:false},valueStyle:{type:Object,default:function _default(){return{};}},format:{type:String,default:'HH:mm:ss:SSS'},rate:{type:Number,default:1000}},created:function created(){this.branch();},watch:{value:function value(){this.branch();}},methods:{branch:function branch(){var timeIndices=this.timeIndices,countDown=this.countDown,dispose=this.dispose;timeIndices?countDown():dispose();},magnification:function magnification(num){var mulriple=arguments.length>1&&arguments[1]!==undefined?arguments[1]:1000;var groupSeparator=arguments.length>2&&arguments[2]!==undefined?arguments[2]:',';// magnification factor\nvar level=String(mulriple).length-1;var reg=new RegExp('\\\\d{1,'+level+'}(?=(\\\\d{'+level+'})+$)','g');var result=String(num).replace(reg,'$&,').split(',').join(groupSeparator);return result;},dispose:function dispose(){var value=this.value,precision=this.precision,groupSeparator=this.groupSeparator,rate=this.rate;if(!Object(lodash_[\"isNumber\"])(value))return false;var _String$split=String(value).split('.'),integer=_String$split[0],decimal=_String$split[1];if(precision){decimal=''+(decimal||'')+1 .toFixed(precision).replace('.','').slice(1);decimal=decimal.slice(0,precision);}var result=0;// 1000 multiplying power\nif(groupSeparator){integer=this.magnification(integer,rate,groupSeparator);}result=[integer,decimal].join(decimal?this.decimalSeparator:'');this.disposeValue=result;return result;},diffDate:function diffDate(minuend,subtrahend){return Math.max(minuend-subtrahend,0);},suspend:function suspend(isStop){if(isStop){if(this.timeTask){clearInterval(this.timeTask);this.timeTask=null;}}else{this.branch();}return this.disposeValue;},formatTimeStr:function formatTimeStr(time){var format=this.format;var escapeRegex=/\\[[^\\]]*]/g;var keepList=(format.match(escapeRegex)||[]).map(function(str){return str.slice(1,-1);});var timeUnits=[['Y',1000*60*60*24*365],// years\n['M',1000*60*60*24*30],// months\n['D',1000*60*60*24],// days\n['H',1000*60*60],// hours\n['m',1000*60],// minutes\n['s',1000],// seconds\n['S',1]// million seconds\n];var formatText=Object(lodash_[\"reduce\"])(timeUnits,function(con,item){var name=item[0];return con.replace(new RegExp(name+'+','g'),function(match){var sum=Object(lodash_[\"chain\"])(time).divide(item[1]).floor(0).value();time-=Object(lodash_[\"multiply\"])(sum,item[1]);return Object(lodash_[\"padStart\"])(String(sum),String(match).length,0);});},format);var index=0;return formatText.replace(escapeRegex,function(){var match=keepList[index];index+=1;return match;});},stopTime:function stopTime(time){var result=true;// stop\nif(time){this.$emit('change',time);result=false;}else{result=true;this.suspend(true);this.$emit('finish',true);}return result;},countDown:function countDown(){var REFRESH_INTERVAL=this.REFRESH_INTERVAL,timeTask=this.timeTask,diffDate=this.diffDate,formatTimeStr=this.formatTimeStr,stopTime=this.stopTime,suspend=this.suspend;if(timeTask)return;var than=this;this.timeTask=setInterval(function(){var diffTiem=diffDate(than.value,Date.now());than.disposeValue=formatTimeStr(diffTiem);stopTime(diffTiem);},REFRESH_INTERVAL);this.$once('hook:beforeDestroy',function(){suspend(true);});}}};// CONCATENATED MODULE: ./packages/statistic/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_statistic_src_mainvue_type_script_lang_js_=statistic_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/statistic/src/main.vue\n/* normalize component */var statistic_src_main_component=normalizeComponent(packages_statistic_src_mainvue_type_script_lang_js_,mainvue_type_template_id_76339aa7_render,mainvue_type_template_id_76339aa7_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var statistic_src_main_api; }statistic_src_main_component.options.__file=\"packages/statistic/src/main.vue\";/* harmony default export */var statistic_src_main=statistic_src_main_component.exports;// CONCATENATED MODULE: ./packages/statistic/index.js\n/* istanbul ignore next */statistic_src_main.install=function(Vue){Vue.component(statistic_src_main.name,statistic_src_main);};/* harmony default export */var statistic=statistic_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/popconfirm/src/main.vue?vue&type=template&id=048de730&\nvar mainvue_type_template_id_048de730_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"el-popover\",_vm._b({attrs:{trigger:\"click\"},model:{value:_vm.visible,callback:function($$v){_vm.visible=$$v;},expression:\"visible\"}},\"el-popover\",_vm.$attrs,false),[_c(\"div\",{staticClass:\"el-popconfirm\"},[_c(\"p\",{staticClass:\"el-popconfirm__main\"},[!_vm.hideIcon?_c(\"i\",{staticClass:\"el-popconfirm__icon\",class:_vm.icon,style:{color:_vm.iconColor}}):_vm._e(),_vm._v(\"\\n      \"+_vm._s(_vm.title)+\"\\n    \")]),_c(\"div\",{staticClass:\"el-popconfirm__action\"},[_c(\"el-button\",{attrs:{size:\"mini\",type:_vm.cancelButtonType},on:{click:_vm.cancel}},[_vm._v(\"\\n        \"+_vm._s(_vm.displayCancelButtonText)+\"\\n      \")]),_c(\"el-button\",{attrs:{size:\"mini\",type:_vm.confirmButtonType},on:{click:_vm.confirm}},[_vm._v(\"\\n        \"+_vm._s(_vm.displayConfirmButtonText)+\"\\n      \")])],1)]),_vm._t(\"reference\",null,{slot:\"reference\"})],2);};var mainvue_type_template_id_048de730_staticRenderFns=[];mainvue_type_template_id_048de730_render._withStripped=true;// CONCATENATED MODULE: ./packages/popconfirm/src/main.vue?vue&type=template&id=048de730&\n// EXTERNAL MODULE: external \"element-ui/lib/popover\"\nvar popover_=__nested_webpack_require_8056__(45);var popover_default=/*#__PURE__*/__nested_webpack_require_8056__.n(popover_);// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/popconfirm/src/main.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var popconfirm_src_mainvue_type_script_lang_js_={name:'ElPopconfirm',props:{title:{type:String},confirmButtonText:{type:String},cancelButtonText:{type:String},confirmButtonType:{type:String,default:'primary'},cancelButtonType:{type:String,default:'text'},icon:{type:String,default:'el-icon-question'},iconColor:{type:String,default:'#f90'},hideIcon:{type:Boolean,default:false}},components:{ElPopover:popover_default.a,ElButton:button_default.a},data:function data(){return{visible:false};},computed:{displayConfirmButtonText:function displayConfirmButtonText(){return this.confirmButtonText||Object(lib_locale_[\"t\"])('el.popconfirm.confirmButtonText');},displayCancelButtonText:function displayCancelButtonText(){return this.cancelButtonText||Object(lib_locale_[\"t\"])('el.popconfirm.cancelButtonText');}},methods:{confirm:function confirm(){this.visible=false;this.$emit('confirm');},cancel:function cancel(){this.visible=false;this.$emit('cancel');}}};// CONCATENATED MODULE: ./packages/popconfirm/src/main.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_popconfirm_src_mainvue_type_script_lang_js_=popconfirm_src_mainvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/popconfirm/src/main.vue\n/* normalize component */var popconfirm_src_main_component=normalizeComponent(packages_popconfirm_src_mainvue_type_script_lang_js_,mainvue_type_template_id_048de730_render,mainvue_type_template_id_048de730_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var popconfirm_src_main_api; }popconfirm_src_main_component.options.__file=\"packages/popconfirm/src/main.vue\";/* harmony default export */var popconfirm_src_main=popconfirm_src_main_component.exports;// CONCATENATED MODULE: ./packages/popconfirm/index.js\n/* istanbul ignore next */popconfirm_src_main.install=function(Vue){Vue.component(popconfirm_src_main.name,popconfirm_src_main);};/* harmony default export */var popconfirm=popconfirm_src_main;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/skeleton/src/index.vue?vue&type=template&id=7f659269&\nvar srcvue_type_template_id_7f659269_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",[_vm.uiLoading?[_c(\"div\",_vm._b({class:[\"el-skeleton\",_vm.animated?\"is-animated\":\"\"]},\"div\",_vm.$attrs,false),[_vm._l(_vm.count,function(i){return[_vm.loading?_vm._t(\"template\",_vm._l(_vm.rows,function(item){return _c(\"el-skeleton-item\",{key:i+\"-\"+item,class:{\"el-skeleton__paragraph\":item!==1,\"is-first\":item===1,\"is-last\":item===_vm.rows&&_vm.rows>1},attrs:{variant:\"p\"}});})):_vm._e()];})],2)]:[_vm._t(\"default\",null,null,_vm.$attrs)]],2);};var srcvue_type_template_id_7f659269_staticRenderFns=[];srcvue_type_template_id_7f659269_render._withStripped=true;// CONCATENATED MODULE: ./packages/skeleton/src/index.vue?vue&type=template&id=7f659269&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/skeleton/src/index.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var skeleton_srcvue_type_script_lang_js_={name:'ElSkeleton',props:{animated:{type:Boolean,default:false},count:{type:Number,default:1},rows:{type:Number,default:4},loading:{type:Boolean,default:true},throttle:{type:Number,default:0}},watch:{loading:{handler:function handler(loading){var _this=this;if(this.throttle<=0){this.uiLoading=loading;return;}if(loading){clearTimeout(this.timeoutHandle);this.timeoutHandle=setTimeout(function(){_this.uiLoading=_this.loading;},this.throttle);}else{this.uiLoading=loading;}},immediate:true}},data:function data(){return{uiLoading:this.throttle<=0?this.loading:false};}};// CONCATENATED MODULE: ./packages/skeleton/src/index.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_skeleton_srcvue_type_script_lang_js_=skeleton_srcvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/skeleton/src/index.vue\n/* normalize component */var skeleton_src_component=normalizeComponent(packages_skeleton_srcvue_type_script_lang_js_,srcvue_type_template_id_7f659269_render,srcvue_type_template_id_7f659269_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var skeleton_src_api; }skeleton_src_component.options.__file=\"packages/skeleton/src/index.vue\";/* harmony default export */var skeleton_src=skeleton_src_component.exports;// CONCATENATED MODULE: ./packages/skeleton/index.js\n/* istanbul ignore next */skeleton_src.install=function(Vue){Vue.component(skeleton_src.name,skeleton_src);};/* harmony default export */var skeleton=skeleton_src;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/skeleton/src/item.vue?vue&type=template&id=4bc8804c&\nvar itemvue_type_template_id_4bc8804c_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{class:[\"el-skeleton__item\",\"el-skeleton__\"+_vm.variant]},[_vm.variant===\"image\"?_c(\"img-placeholder\"):_vm._e()],1);};var itemvue_type_template_id_4bc8804c_staticRenderFns=[];itemvue_type_template_id_4bc8804c_render._withStripped=true;// CONCATENATED MODULE: ./packages/skeleton/src/item.vue?vue&type=template&id=4bc8804c&\n// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/skeleton/src/img-placeholder.vue?vue&type=template&id=1b2cb5c0&\nvar img_placeholdervue_type_template_id_1b2cb5c0_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"svg\",{attrs:{viewBox:\"0 0 1024 1024\",xmlns:\"http://www.w3.org/2000/svg\"}},[_c(\"path\",{attrs:{d:\"M64 896V128h896v768H64z m64-128l192-192 116.352 116.352L640 448l256 307.2V192H128v576z m224-480a96 96 0 1 1-0.064 192.064A96 96 0 0 1 352 288z\"}})]);};var img_placeholdervue_type_template_id_1b2cb5c0_staticRenderFns=[];img_placeholdervue_type_template_id_1b2cb5c0_render._withStripped=true;// CONCATENATED MODULE: ./packages/skeleton/src/img-placeholder.vue?vue&type=template&id=1b2cb5c0&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/skeleton/src/img-placeholder.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var img_placeholdervue_type_script_lang_js_={name:'ImgPlaceholder'};// CONCATENATED MODULE: ./packages/skeleton/src/img-placeholder.vue?vue&type=script&lang=js&\n/* harmony default export */var src_img_placeholdervue_type_script_lang_js_=img_placeholdervue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/skeleton/src/img-placeholder.vue\n/* normalize component */var img_placeholder_component=normalizeComponent(src_img_placeholdervue_type_script_lang_js_,img_placeholdervue_type_template_id_1b2cb5c0_render,img_placeholdervue_type_template_id_1b2cb5c0_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var img_placeholder_api; }img_placeholder_component.options.__file=\"packages/skeleton/src/img-placeholder.vue\";/* harmony default export */var img_placeholder=img_placeholder_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/skeleton/src/item.vue?vue&type=script&lang=js&\nvar _components;//\n//\n//\n//\n//\n//\n/* harmony default export */var skeleton_src_itemvue_type_script_lang_js_={name:'ElSkeletonItem',props:{variant:{type:String,default:'text'}},components:(_components={},_components[img_placeholder.name]=img_placeholder,_components)};// CONCATENATED MODULE: ./packages/skeleton/src/item.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_skeleton_src_itemvue_type_script_lang_js_=skeleton_src_itemvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/skeleton/src/item.vue\n/* normalize component */var skeleton_src_item_component=normalizeComponent(packages_skeleton_src_itemvue_type_script_lang_js_,itemvue_type_template_id_4bc8804c_render,itemvue_type_template_id_4bc8804c_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var skeleton_src_item_api; }skeleton_src_item_component.options.__file=\"packages/skeleton/src/item.vue\";/* harmony default export */var skeleton_src_item=skeleton_src_item_component.exports;// CONCATENATED MODULE: ./packages/skeleton-item/index.js\n/* istanbul ignore next */skeleton_src_item.install=function(Vue){Vue.component(skeleton_src_item.name,skeleton_src_item);};/* harmony default export */var skeleton_item=skeleton_src_item;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/empty/src/index.vue?vue&type=template&id=347ced91&\nvar srcvue_type_template_id_347ced91_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"div\",{staticClass:\"el-empty\"},[_c(\"div\",{staticClass:\"el-empty__image\",style:_vm.imageStyle},[_vm.image?_c(\"img\",{attrs:{src:_vm.image,ondragstart:\"return false\"}}):_vm._t(\"image\",[_c(\"img-empty\")])],2),_c(\"div\",{staticClass:\"el-empty__description\"},[_vm.$slots.description?_vm._t(\"description\"):_c(\"p\",[_vm._v(_vm._s(_vm.emptyDescription))])],2),_vm.$slots.default?_c(\"div\",{staticClass:\"el-empty__bottom\"},[_vm._t(\"default\")],2):_vm._e()]);};var srcvue_type_template_id_347ced91_staticRenderFns=[];srcvue_type_template_id_347ced91_render._withStripped=true;// CONCATENATED MODULE: ./packages/empty/src/index.vue?vue&type=template&id=347ced91&\n// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/empty/src/img-empty.vue?vue&type=template&id=42918b82&\nvar img_emptyvue_type_template_id_42918b82_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"svg\",{attrs:{viewBox:\"0 0 79 86\",version:\"1.1\",xmlns:\"http://www.w3.org/2000/svg\",\"xmlns:xlink\":\"http://www.w3.org/1999/xlink\"}},[_c(\"defs\",[_c(\"linearGradient\",{attrs:{id:\"linearGradient-1-\"+_vm.id,x1:\"38.8503086%\",y1:\"0%\",x2:\"61.1496914%\",y2:\"100%\"}},[_c(\"stop\",{attrs:{\"stop-color\":\"#FCFCFD\",offset:\"0%\"}}),_c(\"stop\",{attrs:{\"stop-color\":\"#EEEFF3\",offset:\"100%\"}})],1),_c(\"linearGradient\",{attrs:{id:\"linearGradient-2-\"+_vm.id,x1:\"0%\",y1:\"9.5%\",x2:\"100%\",y2:\"90.5%\"}},[_c(\"stop\",{attrs:{\"stop-color\":\"#FCFCFD\",offset:\"0%\"}}),_c(\"stop\",{attrs:{\"stop-color\":\"#E9EBEF\",offset:\"100%\"}})],1),_c(\"rect\",{attrs:{id:\"path-3-\"+_vm.id,x:\"0\",y:\"0\",width:\"17\",height:\"36\"}})],1),_c(\"g\",{attrs:{id:\"Illustrations\",stroke:\"none\",\"stroke-width\":\"1\",fill:\"none\",\"fill-rule\":\"evenodd\"}},[_c(\"g\",{attrs:{id:\"B-type\",transform:\"translate(-1268.000000, -535.000000)\"}},[_c(\"g\",{attrs:{id:\"Group-2\",transform:\"translate(1268.000000, 535.000000)\"}},[_c(\"path\",{attrs:{id:\"Oval-Copy-2\",d:\"M39.5,86 C61.3152476,86 79,83.9106622 79,81.3333333 C79,78.7560045 57.3152476,78 35.5,78 C13.6847524,78 0,78.7560045 0,81.3333333 C0,83.9106622 17.6847524,86 39.5,86 Z\",fill:\"#F7F8FC\"}}),_c(\"polygon\",{attrs:{id:\"Rectangle-Copy-14\",fill:\"#E5E7E9\",transform:\"translate(27.500000, 51.500000) scale(1, -1) translate(-27.500000, -51.500000) \",points:\"13 58 53 58 42 45 2 45\"}}),_c(\"g\",{attrs:{id:\"Group-Copy\",transform:\"translate(34.500000, 31.500000) scale(-1, 1) rotate(-25.000000) translate(-34.500000, -31.500000) translate(7.000000, 10.000000)\"}},[_c(\"polygon\",{attrs:{id:\"Rectangle-Copy-10\",fill:\"#E5E7E9\",transform:\"translate(11.500000, 5.000000) scale(1, -1) translate(-11.500000, -5.000000) \",points:\"2.84078316e-14 3 18 3 23 7 5 7\"}}),_c(\"polygon\",{attrs:{id:\"Rectangle-Copy-11\",fill:\"#EDEEF2\",points:\"-3.69149156e-15 7 38 7 38 43 -3.69149156e-15 43\"}}),_c(\"rect\",{attrs:{id:\"Rectangle-Copy-12\",fill:\"url(#linearGradient-1-\"+_vm.id+\")\",transform:\"translate(46.500000, 25.000000) scale(-1, 1) translate(-46.500000, -25.000000) \",x:\"38\",y:\"7\",width:\"17\",height:\"36\"}}),_c(\"polygon\",{attrs:{id:\"Rectangle-Copy-13\",fill:\"#F8F9FB\",transform:\"translate(39.500000, 3.500000) scale(-1, 1) translate(-39.500000, -3.500000) \",points:\"24 7 41 7 55 -3.63806207e-12 38 -3.63806207e-12\"}})]),_c(\"rect\",{attrs:{id:\"Rectangle-Copy-15\",fill:\"url(#linearGradient-2-\"+_vm.id+\")\",x:\"13\",y:\"45\",width:\"40\",height:\"36\"}}),_c(\"g\",{attrs:{id:\"Rectangle-Copy-17\",transform:\"translate(53.000000, 45.000000)\"}},[_c(\"mask\",{attrs:{id:\"mask-4-\"+_vm.id,fill:\"white\"}},[_c(\"use\",{attrs:{\"xlink:href\":\"#path-3-\"+_vm.id}})]),_c(\"use\",{attrs:{id:\"Mask\",fill:\"#E0E3E9\",transform:\"translate(8.500000, 18.000000) scale(-1, 1) translate(-8.500000, -18.000000) \",\"xlink:href\":\"#path-3-\"+_vm.id}}),_c(\"polygon\",{attrs:{id:\"Rectangle-Copy\",fill:\"#D5D7DE\",mask:\"url(#mask-4-\"+_vm.id+\")\",transform:\"translate(12.000000, 9.000000) scale(-1, 1) translate(-12.000000, -9.000000) \",points:\"7 0 24 0 20 18 -1.70530257e-13 16\"}})]),_c(\"polygon\",{attrs:{id:\"Rectangle-Copy-18\",fill:\"#F8F9FB\",transform:\"translate(66.000000, 51.500000) scale(-1, 1) translate(-66.000000, -51.500000) \",points:\"62 45 79 45 70 58 53 58\"}})])])])]);};var img_emptyvue_type_template_id_42918b82_staticRenderFns=[];img_emptyvue_type_template_id_42918b82_render._withStripped=true;// CONCATENATED MODULE: ./packages/empty/src/img-empty.vue?vue&type=template&id=42918b82&\n// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/empty/src/img-empty.vue?vue&type=script&lang=js&\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar img_emptyvue_type_script_lang_js_id=0;/* harmony default export */var img_emptyvue_type_script_lang_js_={name:'ImgEmpty',data:function data(){return{id:++img_emptyvue_type_script_lang_js_id};}};// CONCATENATED MODULE: ./packages/empty/src/img-empty.vue?vue&type=script&lang=js&\n/* harmony default export */var src_img_emptyvue_type_script_lang_js_=img_emptyvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/empty/src/img-empty.vue\n/* normalize component */var img_empty_component=normalizeComponent(src_img_emptyvue_type_script_lang_js_,img_emptyvue_type_template_id_42918b82_render,img_emptyvue_type_template_id_42918b82_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var img_empty_api; }img_empty_component.options.__file=\"packages/empty/src/img-empty.vue\";/* harmony default export */var img_empty=img_empty_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/empty/src/index.vue?vue&type=script&lang=js&\nvar srcvue_type_script_lang_js_components;//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n/* harmony default export */var empty_srcvue_type_script_lang_js_={name:'ElEmpty',components:(srcvue_type_script_lang_js_components={},srcvue_type_script_lang_js_components[img_empty.name]=img_empty,srcvue_type_script_lang_js_components),props:{image:{type:String,default:''},imageSize:Number,description:{type:String,default:''}},computed:{emptyDescription:function emptyDescription(){return this.description||Object(lib_locale_[\"t\"])('el.empty.description');},imageStyle:function imageStyle(){return{width:this.imageSize?this.imageSize+'px':''};}}};// CONCATENATED MODULE: ./packages/empty/src/index.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_empty_srcvue_type_script_lang_js_=empty_srcvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/empty/src/index.vue\n/* normalize component */var empty_src_component=normalizeComponent(packages_empty_srcvue_type_script_lang_js_,srcvue_type_template_id_347ced91_render,srcvue_type_template_id_347ced91_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var empty_src_api; }empty_src_component.options.__file=\"packages/empty/src/index.vue\";/* harmony default export */var empty_src=empty_src_component.exports;// CONCATENATED MODULE: ./packages/empty/index.js\nempty_src.install=function(Vue){Vue.component(empty_src.name,empty_src);};/* harmony default export */var empty=empty_src;// CONCATENATED MODULE: ./packages/descriptions/src/descriptions-row.js\nvar descriptions_row_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};/* harmony default export */var descriptions_row={name:'ElDescriptionsRow',props:{row:{type:Array}},inject:['elDescriptions'],render:function render(h){var elDescriptions=this.elDescriptions;var row=(this.row||[]).map(function(item){return descriptions_row_extends({},item,{label:item.slots.label||item.props.label},['labelClassName','contentClassName','labelStyle','contentStyle'].reduce(function(res,key){res[key]=item.props[key]||elDescriptions[key];return res;},{}));});if(elDescriptions.direction==='vertical'){return h('tbody',[h('tr',{'class':'el-descriptions-row'},[row.map(function(item){var _ref;return h('th',{'class':(_ref={'el-descriptions-item__cell':true,'el-descriptions-item__label':true,'has-colon':elDescriptions.border?false:elDescriptions.colon,'is-bordered-label':elDescriptions.border},_ref[item.labelClassName]=true,_ref),style:item.labelStyle,attrs:{colSpan:item.props.span}},[item.label]);})]),h('tr',{'class':'el-descriptions-row'},[row.map(function(item){return h('td',{'class':['el-descriptions-item__cell','el-descriptions-item__content',item.contentClassName],style:item.contentStyle,attrs:{colSpan:item.props.span}},[item.slots.default]);})])]);}if(elDescriptions.border){return h('tbody',[h('tr',{'class':'el-descriptions-row'},[row.map(function(item){var _ref2;return[h('th',{'class':(_ref2={'el-descriptions-item__cell':true,'el-descriptions-item__label':true,'is-bordered-label':elDescriptions.border},_ref2[item.labelClassName]=true,_ref2),style:item.labelStyle,attrs:{colSpan:'1'}},[item.label]),h('td',{'class':['el-descriptions-item__cell','el-descriptions-item__content',item.contentClassName],style:item.contentStyle,attrs:{colSpan:item.props.span*2-1}},[item.slots.default])];})])]);}return h('tbody',[h('tr',{'class':'el-descriptions-row'},[row.map(function(item){var _ref3;return h('td',{'class':'el-descriptions-item el-descriptions-item__cell',attrs:{colSpan:item.props.span}},[h('div',{'class':'el-descriptions-item__container'},[h('span',{'class':(_ref3={'el-descriptions-item__label':true,'has-colon':elDescriptions.colon},_ref3[item.labelClassName]=true,_ref3),style:item.labelStyle},[item.label]),h('span',{'class':['el-descriptions-item__content',item.contentClassName],style:item.contentStyle},[item.slots.default])])]);})])]);}};// CONCATENATED MODULE: ./packages/descriptions/src/index.js\nvar src_extends=Object.assign||function(target){for(var i=1;i<arguments.length;i++){var source=arguments[i];for(var key in source){if(Object.prototype.hasOwnProperty.call(source,key)){target[key]=source[key];}}}return target;};var src_components;/* harmony default export */var descriptions_src={name:'ElDescriptions',components:(src_components={},src_components[descriptions_row.name]=descriptions_row,src_components),props:{border:{type:Boolean,default:false},column:{type:Number,default:3},direction:{type:String,default:'horizontal'},size:{type:String// validator: isValidComponentSize,\n},title:{type:String,default:''},extra:{type:String,default:''},labelStyle:{type:Object},contentStyle:{type:Object},labelClassName:{type:String,default:''},contentClassName:{type:String,default:''},colon:{type:Boolean,default:true}},computed:{descriptionsSize:function descriptionsSize(){return this.size||(this.$ELEMENT||{}).size;}},provide:function provide(){return{elDescriptions:this};},methods:{getOptionProps:function getOptionProps(vnode){if(vnode.componentOptions){var componentOptions=vnode.componentOptions;var _componentOptions$pro=componentOptions.propsData,propsData=_componentOptions$pro===undefined?{}:_componentOptions$pro,_componentOptions$Cto=componentOptions.Ctor,Ctor=_componentOptions$Cto===undefined?{}:_componentOptions$Cto;var props=(Ctor.options||{}).props||{};var res={};for(var k in props){var v=props[k];var defaultValue=v.default;if(defaultValue!==undefined){res[k]=Object(types_[\"isFunction\"])(defaultValue)?defaultValue.call(vnode):defaultValue;}}return src_extends({},res,propsData);}return{};},getSlots:function getSlots(vnode){var _this=this;var componentOptions=vnode.componentOptions||{};var children=vnode.children||componentOptions.children||[];var slots={};children.forEach(function(child){if(!_this.isEmptyElement(child)){var name=child.data&&child.data.slot||'default';slots[name]=slots[name]||[];if(child.tag==='template'){slots[name].push(child.children);}else{slots[name].push(child);}}});return src_extends({},slots);},isEmptyElement:function isEmptyElement(c){return!(c.tag||c.text&&c.text.trim()!=='');},filledNode:function filledNode(node,span,count){var isLast=arguments.length>3&&arguments[3]!==undefined?arguments[3]:false;if(!node.props){node.props={};}if(span>count){node.props.span=count;}if(isLast){// set the max span, cause of the last td\nnode.props.span=count;}return node;},getRows:function getRows(){var _this2=this;var children=(this.$slots.default||[]).filter(function(vnode){return vnode.tag&&vnode.componentOptions&&vnode.componentOptions.Ctor.options.name==='ElDescriptionsItem';});var nodes=children.map(function(vnode){return{props:_this2.getOptionProps(vnode),slots:_this2.getSlots(vnode),vnode:vnode};});var rows=[];var temp=[];var count=this.column;nodes.forEach(function(node,index){var span=node.props.span||1;if(index===children.length-1){temp.push(_this2.filledNode(node,span,count,true));rows.push(temp);return;}if(span<count){count-=span;temp.push(node);}else{temp.push(_this2.filledNode(node,span,count));rows.push(temp);count=_this2.column;temp=[];}});return rows;}},render:function render(){var h=arguments[0];var title=this.title,extra=this.extra,border=this.border,descriptionsSize=this.descriptionsSize,$slots=this.$slots;var rows=this.getRows();return h('div',{'class':'el-descriptions'},[title||extra||$slots.title||$slots.extra?h('div',{'class':'el-descriptions__header'},[h('div',{'class':'el-descriptions__title'},[$slots.title?$slots.title:title]),h('div',{'class':'el-descriptions__extra'},[$slots.extra?$slots.extra:extra])]):null,h('div',{'class':'el-descriptions__body'},[h('table',{'class':['el-descriptions__table',{'is-bordered':border},descriptionsSize?'el-descriptions--'+descriptionsSize:'']},[rows.map(function(row){return 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MODULE: ./packages/result/src/icon-success.vue?vue&type=script&lang=js&\n/* harmony default export */var src_icon_successvue_type_script_lang_js_=icon_successvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/result/src/icon-success.vue\n/* normalize component */var icon_success_component=normalizeComponent(src_icon_successvue_type_script_lang_js_,icon_successvue_type_template_id_18119418_render,icon_successvue_type_template_id_18119418_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var icon_success_api; }icon_success_component.options.__file=\"packages/result/src/icon-success.vue\";/* harmony default export */var icon_success=icon_success_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/result/src/icon-error.vue?vue&type=template&id=21199246&\nvar icon_errorvue_type_template_id_21199246_render=function(){var _vm=this;var 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icon_error_component=normalizeComponent(src_icon_errorvue_type_script_lang_js_,icon_errorvue_type_template_id_21199246_render,icon_errorvue_type_template_id_21199246_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var icon_error_api; }icon_error_component.options.__file=\"packages/result/src/icon-error.vue\";/* harmony default export */var icon_error=icon_error_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/result/src/icon-warning.vue?vue&type=template&id=46fe8f31&\nvar icon_warningvue_type_template_id_46fe8f31_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"svg\",{attrs:{viewBox:\"0 0 48 48\",xmlns:\"http://www.w3.org/2000/svg\"}},[_c(\"path\",{attrs:{d:\"M24,4 C35.045695,4 44,12.954305 44,24 C44,35.045695 35.045695,44 24,44 C12.954305,44 4,35.045695 4,24 C4,12.954305 12.954305,4 24,4 Z M24,31 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src_icon_warningvue_type_script_lang_ts_=icon_warningvue_type_script_lang_ts_;// CONCATENATED MODULE: ./packages/result/src/icon-warning.vue\n/* normalize component */var icon_warning_component=normalizeComponent(src_icon_warningvue_type_script_lang_ts_,icon_warningvue_type_template_id_46fe8f31_render,icon_warningvue_type_template_id_46fe8f31_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var icon_warning_api; }icon_warning_component.options.__file=\"packages/result/src/icon-warning.vue\";/* harmony default export */var icon_warning=icon_warning_component.exports;// CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/result/src/icon-info.vue?vue&type=template&id=19e3de69&\nvar icon_infovue_type_template_id_19e3de69_render=function(){var _vm=this;var _h=_vm.$createElement;var _c=_vm._self._c||_h;return _c(\"svg\",{attrs:{viewBox:\"0 0 48 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./node_modules/vue-loader/lib??vue-loader-options!./packages/result/src/icon-info.vue?vue&type=script&lang=ts&\n/* harmony default export */var icon_infovue_type_script_lang_ts_={name:'IconInfo'};// CONCATENATED MODULE: ./packages/result/src/icon-info.vue?vue&type=script&lang=ts&\n/* harmony default export */var src_icon_infovue_type_script_lang_ts_=icon_infovue_type_script_lang_ts_;// CONCATENATED MODULE: ./packages/result/src/icon-info.vue\n/* normalize component */var icon_info_component=normalizeComponent(src_icon_infovue_type_script_lang_ts_,icon_infovue_type_template_id_19e3de69_render,icon_infovue_type_template_id_19e3de69_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var icon_info_api; }icon_info_component.options.__file=\"packages/result/src/icon-info.vue\";/* harmony default export */var icon_info=icon_info_component.exports;// CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/result/src/index.vue?vue&type=script&lang=js&\nvar result_srcvue_type_script_lang_js_components;//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\n//\nvar IconMap={success:'icon-success',warning:'icon-warning',error:'icon-error',info:'icon-info'};/* harmony default export */var result_srcvue_type_script_lang_js_={name:'ElResult',components:(result_srcvue_type_script_lang_js_components={},result_srcvue_type_script_lang_js_components[icon_success.name]=icon_success,result_srcvue_type_script_lang_js_components[icon_error.name]=icon_error,result_srcvue_type_script_lang_js_components[icon_warning.name]=icon_warning,result_srcvue_type_script_lang_js_components[icon_info.name]=icon_info,result_srcvue_type_script_lang_js_components),props:{title:{type:String,default:''},subTitle:{type:String,default:''},icon:{type:String,default:'info'}},computed:{iconElement:function iconElement(){var icon=this.icon;return icon&&IconMap[icon]?IconMap[icon]:'icon-info';}}};// CONCATENATED MODULE: ./packages/result/src/index.vue?vue&type=script&lang=js&\n/* harmony default export */var packages_result_srcvue_type_script_lang_js_=result_srcvue_type_script_lang_js_;// CONCATENATED MODULE: ./packages/result/src/index.vue\n/* normalize component */var result_src_component=normalizeComponent(packages_result_srcvue_type_script_lang_js_,srcvue_type_template_id_3408b139_render,srcvue_type_template_id_3408b139_staticRenderFns,false,null,null,null);/* hot reload */if(false){ var result_src_api; }result_src_component.options.__file=\"packages/result/src/index.vue\";/* harmony default export */var result_src=result_src_component.exports;// CONCATENATED MODULE: ./packages/result/index.js\n/* istanbul ignore next */result_src.install=function(Vue){Vue.component(result_src.name,result_src);};/* harmony default export */var packages_result=result_src;// CONCATENATED MODULE: ./src/index.js\n/* Automatically generated by './build/bin/build-entry.js' */var components=[packages_pagination,dialog,packages_autocomplete,packages_dropdown,packages_dropdown_menu,packages_dropdown_item,packages_menu,packages_submenu,packages_menu_item,packages_menu_item_group,packages_input,packages_input_number,packages_radio,packages_radio_group,packages_radio_button,packages_checkbox,packages_checkbox_button,packages_checkbox_group,packages_switch,packages_select,packages_option,packages_option_group,packages_button,packages_button_group,packages_table,packages_table_column,packages_date_picker,packages_time_select,packages_time_picker,popover,packages_tooltip,packages_breadcrumb,packages_breadcrumb_item,packages_form,packages_form_item,packages_tabs,packages_tab_pane,packages_tag,packages_tree,packages_alert,slider,packages_icon,packages_row,packages_col,packages_upload,packages_progress,packages_spinner,badge,card,packages_rate,packages_steps,packages_step,carousel,scrollbar,carousel_item,packages_collapse,packages_collapse_item,packages_cascader,color_picker,transfer,packages_container,header,aside,packages_main,footer,timeline,timeline_item,packages_link,divider,packages_image,calendar,backtop,page_header,packages_cascader_panel,avatar,drawer,statistic,popconfirm,skeleton,skeleton_item,empty,descriptions,packages_descriptions_item,packages_result,collapse_transition_default.a];var src_install=function install(Vue){var opts=arguments.length>1&&arguments[1]!==undefined?arguments[1]:{};lib_locale_default.a.use(opts.locale);lib_locale_default.a.i18n(opts.i18n);components.forEach(function(component){Vue.component(component.name,component);});Vue.use(infinite_scroll);Vue.use(packages_loading.directive);Vue.prototype.$ELEMENT={size:opts.size||'',zIndex:opts.zIndex||2000};Vue.prototype.$loading=packages_loading.service;Vue.prototype.$msgbox=message_box;Vue.prototype.$alert=message_box.alert;Vue.prototype.$confirm=message_box.confirm;Vue.prototype.$prompt=message_box.prompt;Vue.prototype.$notify=notification;Vue.prototype.$message=packages_message;};/* istanbul ignore if */if(typeof window!=='undefined'&&window.Vue){src_install(window.Vue);}/* harmony default export */var src_0=__webpack_exports__[\"default\"]={version:'2.15.13',locale:lib_locale_default.a.use,i18n:lib_locale_default.a.i18n,install:src_install,CollapseTransition:collapse_transition_default.a,Loading:packages_loading,Pagination:packages_pagination,Dialog:dialog,Autocomplete:packages_autocomplete,Dropdown:packages_dropdown,DropdownMenu:packages_dropdown_menu,DropdownItem:packages_dropdown_item,Menu:packages_menu,Submenu:packages_submenu,MenuItem:packages_menu_item,MenuItemGroup:packages_menu_item_group,Input:packages_input,InputNumber:packages_input_number,Radio:packages_radio,RadioGroup:packages_radio_group,RadioButton:packages_radio_button,Checkbox:packages_checkbox,CheckboxButton:packages_checkbox_button,CheckboxGroup:packages_checkbox_group,Switch:packages_switch,Select:packages_select,Option:packages_option,OptionGroup:packages_option_group,Button:packages_button,ButtonGroup:packages_button_group,Table:packages_table,TableColumn:packages_table_column,DatePicker:packages_date_picker,TimeSelect:packages_time_select,TimePicker:packages_time_picker,Popover:popover,Tooltip:packages_tooltip,MessageBox:message_box,Breadcrumb:packages_breadcrumb,BreadcrumbItem:packages_breadcrumb_item,Form:packages_form,FormItem:packages_form_item,Tabs:packages_tabs,TabPane:packages_tab_pane,Tag:packages_tag,Tree:packages_tree,Alert:packages_alert,Notification:notification,Slider:slider,Icon:packages_icon,Row:packages_row,Col:packages_col,Upload:packages_upload,Progress:packages_progress,Spinner:packages_spinner,Message:packages_message,Badge:badge,Card:card,Rate:packages_rate,Steps:packages_steps,Step:packages_step,Carousel:carousel,Scrollbar:scrollbar,CarouselItem:carousel_item,Collapse:packages_collapse,CollapseItem:packages_collapse_item,Cascader:packages_cascader,ColorPicker:color_picker,Transfer:transfer,Container:packages_container,Header:header,Aside:aside,Main:packages_main,Footer:footer,Timeline:timeline,TimelineItem:timeline_item,Link:packages_link,Divider:divider,Image:packages_image,Calendar:calendar,Backtop:backtop,InfiniteScroll:infinite_scroll,PageHeader:page_header,CascaderPanel:packages_cascader_panel,Avatar:avatar,Drawer:drawer,Statistic:statistic,Popconfirm:popconfirm,Skeleton:skeleton,SkeletonItem:skeleton_item,Empty:empty,Descriptions:descriptions,DescriptionsItem:packages_descriptions_item,Result:packages_result};/***/}/******/])[\"default\"];\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/element-ui.common.js?");
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? [].concat(existing, hook) : [hook];\n        }\n      }\n      return {\n        exports: scriptExports,\n        options: options\n      };\n    }\n\n    /***/\n  },\n\n  /***/10: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/input */ \"./node_modules/element-ui/lib/input.js\");\n\n    /***/\n  },\n\n  /***/2: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/dom */ \"./node_modules/element-ui/lib/utils/dom.js\");\n\n    /***/\n  },\n\n  /***/22: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/mixins/focus */ \"./node_modules/element-ui/lib/mixins/focus.js\");\n\n    /***/\n  },\n\n  /***/3: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/util */ \"./node_modules/element-ui/lib/utils/util.js\");\n\n    /***/\n  },\n\n  /***/30: /***/function (module, __webpack_exports__, __nested_webpack_require_7712__) {\n    \"use strict\";\n\n    /* harmony import */\n    var element_ui_src_utils_dom__WEBPACK_IMPORTED_MODULE_0__ = __nested_webpack_require_7712__(2);\n    /* harmony import */\n    var element_ui_src_utils_dom__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__nested_webpack_require_7712__.n(element_ui_src_utils_dom__WEBPACK_IMPORTED_MODULE_0__);\n    /* harmony import */\n    var element_ui_src_utils_util__WEBPACK_IMPORTED_MODULE_1__ = __nested_webpack_require_7712__(3);\n    /* harmony import */\n    var element_ui_src_utils_util__WEBPACK_IMPORTED_MODULE_1___default = /*#__PURE__*/__nested_webpack_require_7712__.n(element_ui_src_utils_util__WEBPACK_IMPORTED_MODULE_1__);\n\n    /* harmony default export */\n    __webpack_exports__[\"a\"] = {\n      bind: function bind(el, binding, vnode) {\n        var interval = null;\n        var startTime = void 0;\n        var maxIntervals = Object(element_ui_src_utils_util__WEBPACK_IMPORTED_MODULE_1__[\"isMac\"])() ? 100 : 200;\n        var handler = function handler() {\n          return vnode.context[binding.expression].apply();\n        };\n        var clear = function clear() {\n          if (Date.now() - startTime < maxIntervals) {\n            handler();\n          }\n          clearInterval(interval);\n          interval = null;\n        };\n        Object(element_ui_src_utils_dom__WEBPACK_IMPORTED_MODULE_0__[\"on\"])(el, 'mousedown', function (e) {\n          if (e.button !== 0) return;\n          startTime = Date.now();\n          Object(element_ui_src_utils_dom__WEBPACK_IMPORTED_MODULE_0__[\"once\"])(document, 'mouseup', clear);\n          clearInterval(interval);\n          interval = setInterval(handler, maxIntervals);\n        });\n      }\n    };\n\n    /***/\n  },\n\n  /***/87: /***/function (module, __webpack_exports__, __nested_webpack_require_9445__) {\n    \"use strict\";\n\n    __nested_webpack_require_9445__.r(__webpack_exports__);\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/input-number/src/input-number.vue?vue&type=template&id=42f8cf66&\n    var render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"div\", {\n        class: [\"el-input-number\", _vm.inputNumberSize ? \"el-input-number--\" + _vm.inputNumberSize : \"\", {\n          \"is-disabled\": _vm.inputNumberDisabled\n        }, {\n          \"is-without-controls\": !_vm.controls\n        }, {\n          \"is-controls-right\": _vm.controlsAtRight\n        }],\n        on: {\n          dragstart: function ($event) {\n            $event.preventDefault();\n          }\n        }\n      }, [_vm.controls ? _c(\"span\", {\n        directives: [{\n          name: \"repeat-click\",\n          rawName: \"v-repeat-click\",\n          value: _vm.decrease,\n          expression: \"decrease\"\n        }],\n        staticClass: \"el-input-number__decrease\",\n        class: {\n          \"is-disabled\": _vm.minDisabled\n        },\n        attrs: {\n          role: \"button\"\n        },\n        on: {\n          keydown: function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"enter\", 13, $event.key, \"Enter\")) {\n              return null;\n            }\n            return _vm.decrease($event);\n          }\n        }\n      }, [_c(\"i\", {\n        class: \"el-icon-\" + (_vm.controlsAtRight ? \"arrow-down\" : \"minus\")\n      })]) : _vm._e(), _vm.controls ? _c(\"span\", {\n        directives: [{\n          name: \"repeat-click\",\n          rawName: \"v-repeat-click\",\n          value: _vm.increase,\n          expression: \"increase\"\n        }],\n        staticClass: \"el-input-number__increase\",\n        class: {\n          \"is-disabled\": _vm.maxDisabled\n        },\n        attrs: {\n          role: \"button\"\n        },\n        on: {\n          keydown: function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"enter\", 13, $event.key, \"Enter\")) {\n              return null;\n            }\n            return _vm.increase($event);\n          }\n        }\n      }, [_c(\"i\", {\n        class: \"el-icon-\" + (_vm.controlsAtRight ? \"arrow-up\" : \"plus\")\n      })]) : _vm._e(), _c(\"el-input\", {\n        ref: \"input\",\n        attrs: {\n          value: _vm.displayValue,\n          placeholder: _vm.placeholder,\n          disabled: _vm.inputNumberDisabled,\n          size: _vm.inputNumberSize,\n          max: _vm.max,\n          min: _vm.min,\n          name: _vm.name,\n          label: _vm.label\n        },\n        on: {\n          blur: _vm.handleBlur,\n          focus: _vm.handleFocus,\n          input: _vm.handleInput,\n          change: _vm.handleInputChange\n        },\n        nativeOn: {\n          keydown: [function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"up\", 38, $event.key, [\"Up\", \"ArrowUp\"])) {\n              return null;\n            }\n            $event.preventDefault();\n            return _vm.increase($event);\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"down\", 40, $event.key, [\"Down\", \"ArrowDown\"])) {\n              return null;\n            }\n            $event.preventDefault();\n            return _vm.decrease($event);\n          }]\n        }\n      })], 1);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/input-number/src/input-number.vue?vue&type=template&id=42f8cf66&\n\n    // EXTERNAL MODULE: external \"element-ui/lib/input\"\n    var input_ = __nested_webpack_require_9445__(10);\n    var input_default = /*#__PURE__*/__nested_webpack_require_9445__.n(input_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/focus\"\n    var focus_ = __nested_webpack_require_9445__(22);\n    var focus_default = /*#__PURE__*/__nested_webpack_require_9445__.n(focus_);\n\n    // EXTERNAL MODULE: ./src/directives/repeat-click.js\n    var repeat_click = __nested_webpack_require_9445__(30);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/input-number/src/input-number.vue?vue&type=script&lang=js&\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var input_numbervue_type_script_lang_js_ = {\n      name: 'ElInputNumber',\n      mixins: [focus_default()('input')],\n      inject: {\n        elForm: {\n          default: ''\n        },\n        elFormItem: {\n          default: ''\n        }\n      },\n      directives: {\n        repeatClick: repeat_click[\"a\" /* default */]\n      },\n\n      components: {\n        ElInput: input_default.a\n      },\n      props: {\n        step: {\n          type: Number,\n          default: 1\n        },\n        stepStrictly: {\n          type: Boolean,\n          default: false\n        },\n        max: {\n          type: Number,\n          default: Infinity\n        },\n        min: {\n          type: Number,\n          default: -Infinity\n        },\n        value: {},\n        disabled: Boolean,\n        size: String,\n        controls: {\n          type: Boolean,\n          default: true\n        },\n        controlsPosition: {\n          type: String,\n          default: ''\n        },\n        name: String,\n        label: String,\n        placeholder: String,\n        precision: {\n          type: Number,\n          validator: function validator(val) {\n            return val >= 0 && val === parseInt(val, 10);\n          }\n        }\n      },\n      data: function data() {\n        return {\n          currentValue: 0,\n          userInput: null\n        };\n      },\n      watch: {\n        value: {\n          immediate: true,\n          handler: function handler(value) {\n            var newVal = value === undefined ? value : Number(value);\n            if (newVal !== undefined) {\n              if (isNaN(newVal)) {\n                return;\n              }\n              if (this.stepStrictly) {\n                var stepPrecision = this.getPrecision(this.step);\n                var precisionFactor = Math.pow(10, stepPrecision);\n                newVal = Math.round(newVal / this.step) * precisionFactor * this.step / precisionFactor;\n              }\n              if (this.precision !== undefined) {\n                newVal = this.toPrecision(newVal, this.precision);\n              }\n            }\n            if (newVal >= this.max) newVal = this.max;\n            if (newVal <= this.min) newVal = this.min;\n            this.currentValue = newVal;\n            this.userInput = null;\n            this.$emit('input', newVal);\n          }\n        }\n      },\n      computed: {\n        minDisabled: function minDisabled() {\n          return this._decrease(this.value, this.step) < this.min;\n        },\n        maxDisabled: function maxDisabled() {\n          return this._increase(this.value, this.step) > this.max;\n        },\n        numPrecision: function numPrecision() {\n          var value = this.value,\n            step = this.step,\n            getPrecision = this.getPrecision,\n            precision = this.precision;\n          var stepPrecision = getPrecision(step);\n          if (precision !== undefined) {\n            if (stepPrecision > precision) {\n              console.warn('[Element Warn][InputNumber]precision should not be less than the decimal places of step');\n            }\n            return precision;\n          } else {\n            return Math.max(getPrecision(value), stepPrecision);\n          }\n        },\n        controlsAtRight: function controlsAtRight() {\n          return this.controls && this.controlsPosition === 'right';\n        },\n        _elFormItemSize: function _elFormItemSize() {\n          return (this.elFormItem || {}).elFormItemSize;\n        },\n        inputNumberSize: function inputNumberSize() {\n          return this.size || this._elFormItemSize || (this.$ELEMENT || {}).size;\n        },\n        inputNumberDisabled: function inputNumberDisabled() {\n          return this.disabled || !!(this.elForm || {}).disabled;\n        },\n        displayValue: function displayValue() {\n          if (this.userInput !== null) {\n            return this.userInput;\n          }\n          var currentValue = this.currentValue;\n          if (typeof currentValue === 'number') {\n            if (this.stepStrictly) {\n              var stepPrecision = this.getPrecision(this.step);\n              var precisionFactor = Math.pow(10, stepPrecision);\n              currentValue = Math.round(currentValue / this.step) * precisionFactor * this.step / precisionFactor;\n            }\n            if (this.precision !== undefined) {\n              currentValue = currentValue.toFixed(this.precision);\n            }\n          }\n          return currentValue;\n        }\n      },\n      methods: {\n        toPrecision: function toPrecision(num, precision) {\n          if (precision === undefined) precision = this.numPrecision;\n          return parseFloat(Math.round(num * Math.pow(10, precision)) / Math.pow(10, precision));\n        },\n        getPrecision: function getPrecision(value) {\n          if (value === undefined) return 0;\n          var valueString = value.toString();\n          var dotPosition = valueString.indexOf('.');\n          var precision = 0;\n          if (dotPosition !== -1) {\n            precision = valueString.length - dotPosition - 1;\n          }\n          return precision;\n        },\n        _increase: function _increase(val, step) {\n          if (typeof val !== 'number' && val !== undefined) return this.currentValue;\n          var precisionFactor = Math.pow(10, this.numPrecision);\n          // Solve the accuracy problem of JS decimal calculation by converting the value to integer.\n          return this.toPrecision((precisionFactor * val + precisionFactor * step) / precisionFactor);\n        },\n        _decrease: function _decrease(val, step) {\n          if (typeof val !== 'number' && val !== undefined) return this.currentValue;\n          var precisionFactor = Math.pow(10, this.numPrecision);\n          return this.toPrecision((precisionFactor * val - precisionFactor * step) / precisionFactor);\n        },\n        increase: function increase() {\n          if (this.inputNumberDisabled || this.maxDisabled) return;\n          var value = this.value || 0;\n          var newVal = this._increase(value, this.step);\n          this.setCurrentValue(newVal);\n        },\n        decrease: function decrease() {\n          if (this.inputNumberDisabled || this.minDisabled) return;\n          var value = this.value || 0;\n          var newVal = this._decrease(value, this.step);\n          this.setCurrentValue(newVal);\n        },\n        handleBlur: function handleBlur(event) {\n          this.$emit('blur', event);\n        },\n        handleFocus: function handleFocus(event) {\n          this.$emit('focus', event);\n        },\n        setCurrentValue: function setCurrentValue(newVal) {\n          var oldVal = this.currentValue;\n          if (typeof newVal === 'number' && this.precision !== undefined) {\n            newVal = this.toPrecision(newVal, this.precision);\n          }\n          if (newVal >= this.max) newVal = this.max;\n          if (newVal <= this.min) newVal = this.min;\n          if (oldVal === newVal) return;\n          this.userInput = null;\n          this.$emit('input', newVal);\n          this.$emit('change', newVal, oldVal);\n          this.currentValue = newVal;\n        },\n        handleInput: function handleInput(value) {\n          this.userInput = value;\n        },\n        handleInputChange: function handleInputChange(value) {\n          var newVal = value === '' ? undefined : Number(value);\n          if (!isNaN(newVal) || value === '') {\n            this.setCurrentValue(newVal);\n          }\n          this.userInput = null;\n        },\n        select: function select() {\n          this.$refs.input.select();\n        }\n      },\n      mounted: function mounted() {\n        var innerInput = this.$refs.input.$refs.input;\n        innerInput.setAttribute('role', 'spinbutton');\n        innerInput.setAttribute('aria-valuemax', this.max);\n        innerInput.setAttribute('aria-valuemin', this.min);\n        innerInput.setAttribute('aria-valuenow', this.currentValue);\n        innerInput.setAttribute('aria-disabled', this.inputNumberDisabled);\n      },\n      updated: function updated() {\n        if (!this.$refs || !this.$refs.input) return;\n        var innerInput = this.$refs.input.$refs.input;\n        innerInput.setAttribute('aria-valuenow', this.currentValue);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/input-number/src/input-number.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_input_numbervue_type_script_lang_js_ = input_numbervue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_9445__(0);\n\n    // CONCATENATED MODULE: ./packages/input-number/src/input-number.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_input_numbervue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/input-number/src/input-number.vue\";\n    /* harmony default export */\n    var input_number = component.exports;\n    // CONCATENATED MODULE: ./packages/input-number/index.js\n\n    /* istanbul ignore next */\n    input_number.install = function (Vue) {\n      Vue.component(input_number.name, input_number);\n    };\n\n    /* harmony default export */\n    var packages_input_number = __webpack_exports__[\"default\"] = input_number;\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/input-number.js?");
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-/***/ }),
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-/***/ "./node_modules/element-ui/lib/input.js":
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-  !*** ./node_modules/element-ui/lib/input.js ***!
-  \**********************************************/
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? [].concat(existing, hook) : [hook];\n        }\n      }\n      return {\n        exports: scriptExports,\n        options: options\n      };\n    }\n\n    /***/\n  },\n\n  /***/11: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/mixins/migrating */ \"./node_modules/element-ui/lib/mixins/migrating.js\");\n\n    /***/\n  },\n\n  /***/21: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/shared */ \"./node_modules/element-ui/lib/utils/shared.js\");\n\n    /***/\n  },\n\n  /***/4: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/mixins/emitter */ \"./node_modules/element-ui/lib/mixins/emitter.js\");\n\n    /***/\n  },\n\n  /***/75: /***/function (module, __webpack_exports__, __nested_webpack_require_7608__) {\n    \"use strict\";\n\n    __nested_webpack_require_7608__.r(__webpack_exports__);\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/input/src/input.vue?vue&type=template&id=343dd774&\n    var render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"div\", {\n        class: [_vm.type === \"textarea\" ? \"el-textarea\" : \"el-input\", _vm.inputSize ? \"el-input--\" + _vm.inputSize : \"\", {\n          \"is-disabled\": _vm.inputDisabled,\n          \"is-exceed\": _vm.inputExceed,\n          \"el-input-group\": _vm.$slots.prepend || _vm.$slots.append,\n          \"el-input-group--append\": _vm.$slots.append,\n          \"el-input-group--prepend\": _vm.$slots.prepend,\n          \"el-input--prefix\": _vm.$slots.prefix || _vm.prefixIcon,\n          \"el-input--suffix\": _vm.$slots.suffix || _vm.suffixIcon || _vm.clearable || _vm.showPassword\n        }],\n        on: {\n          mouseenter: function ($event) {\n            _vm.hovering = true;\n          },\n          mouseleave: function ($event) {\n            _vm.hovering = false;\n          }\n        }\n      }, [_vm.type !== \"textarea\" ? [_vm.$slots.prepend ? _c(\"div\", {\n        staticClass: \"el-input-group__prepend\"\n      }, [_vm._t(\"prepend\")], 2) : _vm._e(), _vm.type !== \"textarea\" ? _c(\"input\", _vm._b({\n        ref: \"input\",\n        staticClass: \"el-input__inner\",\n        attrs: {\n          tabindex: _vm.tabindex,\n          type: _vm.showPassword ? _vm.passwordVisible ? \"text\" : \"password\" : _vm.type,\n          disabled: _vm.inputDisabled,\n          readonly: _vm.readonly,\n          autocomplete: _vm.autoComplete || _vm.autocomplete,\n          \"aria-label\": _vm.label\n        },\n        on: {\n          compositionstart: _vm.handleCompositionStart,\n          compositionupdate: _vm.handleCompositionUpdate,\n          compositionend: _vm.handleCompositionEnd,\n          input: _vm.handleInput,\n          focus: _vm.handleFocus,\n          blur: _vm.handleBlur,\n          change: _vm.handleChange\n        }\n      }, \"input\", _vm.$attrs, false)) : _vm._e(), _vm.$slots.prefix || _vm.prefixIcon ? _c(\"span\", {\n        staticClass: \"el-input__prefix\"\n      }, [_vm._t(\"prefix\"), _vm.prefixIcon ? _c(\"i\", {\n        staticClass: \"el-input__icon\",\n        class: _vm.prefixIcon\n      }) : _vm._e()], 2) : _vm._e(), _vm.getSuffixVisible() ? _c(\"span\", {\n        staticClass: \"el-input__suffix\"\n      }, [_c(\"span\", {\n        staticClass: \"el-input__suffix-inner\"\n      }, [!_vm.showClear || !_vm.showPwdVisible || !_vm.isWordLimitVisible ? [_vm._t(\"suffix\"), _vm.suffixIcon ? _c(\"i\", {\n        staticClass: \"el-input__icon\",\n        class: _vm.suffixIcon\n      }) : _vm._e()] : _vm._e(), _vm.showClear ? _c(\"i\", {\n        staticClass: \"el-input__icon el-icon-circle-close el-input__clear\",\n        on: {\n          mousedown: function ($event) {\n            $event.preventDefault();\n          },\n          click: _vm.clear\n        }\n      }) : _vm._e(), _vm.showPwdVisible ? _c(\"i\", {\n        staticClass: \"el-input__icon el-icon-view el-input__clear\",\n        on: {\n          click: _vm.handlePasswordVisible\n        }\n      }) : _vm._e(), _vm.isWordLimitVisible ? _c(\"span\", {\n        staticClass: \"el-input__count\"\n      }, [_c(\"span\", {\n        staticClass: \"el-input__count-inner\"\n      }, [_vm._v(\"\\n            \" + _vm._s(_vm.textLength) + \"/\" + _vm._s(_vm.upperLimit) + \"\\n          \")])]) : _vm._e()], 2), _vm.validateState ? _c(\"i\", {\n        staticClass: \"el-input__icon\",\n        class: [\"el-input__validateIcon\", _vm.validateIcon]\n      }) : _vm._e()]) : _vm._e(), _vm.$slots.append ? _c(\"div\", {\n        staticClass: \"el-input-group__append\"\n      }, [_vm._t(\"append\")], 2) : _vm._e()] : _c(\"textarea\", _vm._b({\n        ref: \"textarea\",\n        staticClass: \"el-textarea__inner\",\n        style: _vm.textareaStyle,\n        attrs: {\n          tabindex: _vm.tabindex,\n          disabled: _vm.inputDisabled,\n          readonly: _vm.readonly,\n          autocomplete: _vm.autoComplete || _vm.autocomplete,\n          \"aria-label\": _vm.label\n        },\n        on: {\n          compositionstart: _vm.handleCompositionStart,\n          compositionupdate: _vm.handleCompositionUpdate,\n          compositionend: _vm.handleCompositionEnd,\n          input: _vm.handleInput,\n          focus: _vm.handleFocus,\n          blur: _vm.handleBlur,\n          change: _vm.handleChange\n        }\n      }, \"textarea\", _vm.$attrs, false)), _vm.isWordLimitVisible && _vm.type === \"textarea\" ? _c(\"span\", {\n        staticClass: \"el-input__count\"\n      }, [_vm._v(_vm._s(_vm.textLength) + \"/\" + _vm._s(_vm.upperLimit))]) : _vm._e()], 2);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/input/src/input.vue?vue&type=template&id=343dd774&\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/emitter\"\n    var emitter_ = __nested_webpack_require_7608__(4);\n    var emitter_default = /*#__PURE__*/__nested_webpack_require_7608__.n(emitter_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/migrating\"\n    var migrating_ = __nested_webpack_require_7608__(11);\n    var migrating_default = /*#__PURE__*/__nested_webpack_require_7608__.n(migrating_);\n\n    // CONCATENATED MODULE: ./packages/input/src/calcTextareaHeight.js\n    var hiddenTextarea = void 0;\n    var HIDDEN_STYLE = '\\n  height:0 !important;\\n  visibility:hidden !important;\\n  overflow:hidden !important;\\n  position:absolute !important;\\n  z-index:-1000 !important;\\n  top:0 !important;\\n  right:0 !important\\n';\n    var CONTEXT_STYLE = ['letter-spacing', 'line-height', 'padding-top', 'padding-bottom', 'font-family', 'font-weight', 'font-size', 'text-rendering', 'text-transform', 'width', 'text-indent', 'padding-left', 'padding-right', 'border-width', 'box-sizing'];\n    function calculateNodeStyling(targetElement) {\n      var style = window.getComputedStyle(targetElement);\n      var boxSizing = style.getPropertyValue('box-sizing');\n      var paddingSize = parseFloat(style.getPropertyValue('padding-bottom')) + parseFloat(style.getPropertyValue('padding-top'));\n      var borderSize = parseFloat(style.getPropertyValue('border-bottom-width')) + parseFloat(style.getPropertyValue('border-top-width'));\n      var contextStyle = CONTEXT_STYLE.map(function (name) {\n        return name + ':' + style.getPropertyValue(name);\n      }).join(';');\n      return {\n        contextStyle: contextStyle,\n        paddingSize: paddingSize,\n        borderSize: borderSize,\n        boxSizing: boxSizing\n      };\n    }\n    function calcTextareaHeight(targetElement) {\n      var minRows = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 1;\n      var maxRows = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : null;\n      if (!hiddenTextarea) {\n        hiddenTextarea = document.createElement('textarea');\n        document.body.appendChild(hiddenTextarea);\n      }\n      var _calculateNodeStyling = calculateNodeStyling(targetElement),\n        paddingSize = _calculateNodeStyling.paddingSize,\n        borderSize = _calculateNodeStyling.borderSize,\n        boxSizing = _calculateNodeStyling.boxSizing,\n        contextStyle = _calculateNodeStyling.contextStyle;\n      hiddenTextarea.setAttribute('style', contextStyle + ';' + HIDDEN_STYLE);\n      hiddenTextarea.value = targetElement.value || targetElement.placeholder || '';\n      var height = hiddenTextarea.scrollHeight;\n      var result = {};\n      if (boxSizing === 'border-box') {\n        height = height + borderSize;\n      } else if (boxSizing === 'content-box') {\n        height = height - paddingSize;\n      }\n      hiddenTextarea.value = '';\n      var singleRowHeight = hiddenTextarea.scrollHeight - paddingSize;\n      if (minRows !== null) {\n        var minHeight = singleRowHeight * minRows;\n        if (boxSizing === 'border-box') {\n          minHeight = minHeight + paddingSize + borderSize;\n        }\n        height = Math.max(minHeight, height);\n        result.minHeight = minHeight + 'px';\n      }\n      if (maxRows !== null) {\n        var maxHeight = singleRowHeight * maxRows;\n        if (boxSizing === 'border-box') {\n          maxHeight = maxHeight + paddingSize + borderSize;\n        }\n        height = Math.min(maxHeight, height);\n      }\n      result.height = height + 'px';\n      hiddenTextarea.parentNode && hiddenTextarea.parentNode.removeChild(hiddenTextarea);\n      hiddenTextarea = null;\n      return result;\n    }\n    ;\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/merge\"\n    var merge_ = __nested_webpack_require_7608__(9);\n    var merge_default = /*#__PURE__*/__nested_webpack_require_7608__.n(merge_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/shared\"\n    var shared_ = __nested_webpack_require_7608__(21);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/input/src/input.vue?vue&type=script&lang=js&\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var inputvue_type_script_lang_js_ = {\n      name: 'ElInput',\n      componentName: 'ElInput',\n      mixins: [emitter_default.a, migrating_default.a],\n      inheritAttrs: false,\n      inject: {\n        elForm: {\n          default: ''\n        },\n        elFormItem: {\n          default: ''\n        }\n      },\n      data: function data() {\n        return {\n          textareaCalcStyle: {},\n          hovering: false,\n          focused: false,\n          isComposing: false,\n          passwordVisible: false\n        };\n      },\n      props: {\n        value: [String, Number],\n        size: String,\n        resize: String,\n        form: String,\n        disabled: Boolean,\n        readonly: Boolean,\n        type: {\n          type: String,\n          default: 'text'\n        },\n        autosize: {\n          type: [Boolean, Object],\n          default: false\n        },\n        autocomplete: {\n          type: String,\n          default: 'off'\n        },\n        /** @Deprecated in next major version */\n        autoComplete: {\n          type: String,\n          validator: function validator(val) {\n             false && 0;\n            return true;\n          }\n        },\n        validateEvent: {\n          type: Boolean,\n          default: true\n        },\n        suffixIcon: String,\n        prefixIcon: String,\n        label: String,\n        clearable: {\n          type: Boolean,\n          default: false\n        },\n        showPassword: {\n          type: Boolean,\n          default: false\n        },\n        showWordLimit: {\n          type: Boolean,\n          default: false\n        },\n        tabindex: String\n      },\n      computed: {\n        _elFormItemSize: function _elFormItemSize() {\n          return (this.elFormItem || {}).elFormItemSize;\n        },\n        validateState: function validateState() {\n          return this.elFormItem ? this.elFormItem.validateState : '';\n        },\n        needStatusIcon: function needStatusIcon() {\n          return this.elForm ? this.elForm.statusIcon : false;\n        },\n        validateIcon: function validateIcon() {\n          return {\n            validating: 'el-icon-loading',\n            success: 'el-icon-circle-check',\n            error: 'el-icon-circle-close'\n          }[this.validateState];\n        },\n        textareaStyle: function textareaStyle() {\n          return merge_default()({}, this.textareaCalcStyle, {\n            resize: this.resize\n          });\n        },\n        inputSize: function inputSize() {\n          return this.size || this._elFormItemSize || (this.$ELEMENT || {}).size;\n        },\n        inputDisabled: function inputDisabled() {\n          return this.disabled || (this.elForm || {}).disabled;\n        },\n        nativeInputValue: function nativeInputValue() {\n          return this.value === null || this.value === undefined ? '' : String(this.value);\n        },\n        showClear: function showClear() {\n          return this.clearable && !this.inputDisabled && !this.readonly && this.nativeInputValue && (this.focused || this.hovering);\n        },\n        showPwdVisible: function showPwdVisible() {\n          return this.showPassword && !this.inputDisabled && !this.readonly && (!!this.nativeInputValue || this.focused);\n        },\n        isWordLimitVisible: function isWordLimitVisible() {\n          return this.showWordLimit && this.$attrs.maxlength && (this.type === 'text' || this.type === 'textarea') && !this.inputDisabled && !this.readonly && !this.showPassword;\n        },\n        upperLimit: function upperLimit() {\n          return this.$attrs.maxlength;\n        },\n        textLength: function textLength() {\n          if (typeof this.value === 'number') {\n            return String(this.value).length;\n          }\n          return (this.value || '').length;\n        },\n        inputExceed: function inputExceed() {\n          // show exceed style if length of initial value greater then maxlength\n          return this.isWordLimitVisible && this.textLength > this.upperLimit;\n        }\n      },\n      watch: {\n        value: function value(val) {\n          this.$nextTick(this.resizeTextarea);\n          if (this.validateEvent) {\n            this.dispatch('ElFormItem', 'el.form.change', [val]);\n          }\n        },\n        // native input value is set explicitly\n        // do not use v-model / :value in template\n        // see: https://github.com/ElemeFE/element/issues/14521\n        nativeInputValue: function nativeInputValue() {\n          this.setNativeInputValue();\n        },\n        // when change between <input> and <textarea>,\n        // update DOM dependent value and styles\n        // https://github.com/ElemeFE/element/issues/14857\n        type: function type() {\n          var _this = this;\n          this.$nextTick(function () {\n            _this.setNativeInputValue();\n            _this.resizeTextarea();\n            _this.updateIconOffset();\n          });\n        }\n      },\n      methods: {\n        focus: function focus() {\n          this.getInput().focus();\n        },\n        blur: function blur() {\n          this.getInput().blur();\n        },\n        getMigratingConfig: function getMigratingConfig() {\n          return {\n            props: {\n              'icon': 'icon is removed, use suffix-icon / prefix-icon instead.',\n              'on-icon-click': 'on-icon-click is removed.'\n            },\n            events: {\n              'click': 'click is removed.'\n            }\n          };\n        },\n        handleBlur: function handleBlur(event) {\n          this.focused = false;\n          this.$emit('blur', event);\n          if (this.validateEvent) {\n            this.dispatch('ElFormItem', 'el.form.blur', [this.value]);\n          }\n        },\n        select: function select() {\n          this.getInput().select();\n        },\n        resizeTextarea: function resizeTextarea() {\n          if (this.$isServer) return;\n          var autosize = this.autosize,\n            type = this.type;\n          if (type !== 'textarea') return;\n          if (!autosize) {\n            this.textareaCalcStyle = {\n              minHeight: calcTextareaHeight(this.$refs.textarea).minHeight\n            };\n            return;\n          }\n          var minRows = autosize.minRows;\n          var maxRows = autosize.maxRows;\n          this.textareaCalcStyle = calcTextareaHeight(this.$refs.textarea, minRows, maxRows);\n        },\n        setNativeInputValue: function setNativeInputValue() {\n          var input = this.getInput();\n          if (!input) return;\n          if (input.value === this.nativeInputValue) return;\n          input.value = this.nativeInputValue;\n        },\n        handleFocus: function handleFocus(event) {\n          this.focused = true;\n          this.$emit('focus', event);\n        },\n        handleCompositionStart: function handleCompositionStart(event) {\n          this.$emit('compositionstart', event);\n          this.isComposing = true;\n        },\n        handleCompositionUpdate: function handleCompositionUpdate(event) {\n          this.$emit('compositionupdate', event);\n          var text = event.target.value;\n          var lastCharacter = text[text.length - 1] || '';\n          this.isComposing = !Object(shared_[\"isKorean\"])(lastCharacter);\n        },\n        handleCompositionEnd: function handleCompositionEnd(event) {\n          this.$emit('compositionend', event);\n          if (this.isComposing) {\n            this.isComposing = false;\n            this.handleInput(event);\n          }\n        },\n        handleInput: function handleInput(event) {\n          // should not emit input during composition\n          // see: https://github.com/ElemeFE/element/issues/10516\n          if (this.isComposing) return;\n\n          // hack for https://github.com/ElemeFE/element/issues/8548\n          // should remove the following line when we don't support IE\n          if (event.target.value === this.nativeInputValue) return;\n          this.$emit('input', event.target.value);\n\n          // ensure native input value is controlled\n          // see: https://github.com/ElemeFE/element/issues/12850\n          this.$nextTick(this.setNativeInputValue);\n        },\n        handleChange: function handleChange(event) {\n          this.$emit('change', event.target.value);\n        },\n        calcIconOffset: function calcIconOffset(place) {\n          var elList = [].slice.call(this.$el.querySelectorAll('.el-input__' + place) || []);\n          if (!elList.length) return;\n          var el = null;\n          for (var i = 0; i < elList.length; i++) {\n            if (elList[i].parentNode === this.$el) {\n              el = elList[i];\n              break;\n            }\n          }\n          if (!el) return;\n          var pendantMap = {\n            suffix: 'append',\n            prefix: 'prepend'\n          };\n          var pendant = pendantMap[place];\n          if (this.$slots[pendant]) {\n            el.style.transform = 'translateX(' + (place === 'suffix' ? '-' : '') + this.$el.querySelector('.el-input-group__' + pendant).offsetWidth + 'px)';\n          } else {\n            el.removeAttribute('style');\n          }\n        },\n        updateIconOffset: function updateIconOffset() {\n          this.calcIconOffset('prefix');\n          this.calcIconOffset('suffix');\n        },\n        clear: function clear() {\n          this.$emit('input', '');\n          this.$emit('change', '');\n          this.$emit('clear');\n        },\n        handlePasswordVisible: function handlePasswordVisible() {\n          var _this2 = this;\n          this.passwordVisible = !this.passwordVisible;\n          this.$nextTick(function () {\n            _this2.focus();\n          });\n        },\n        getInput: function getInput() {\n          return this.$refs.input || this.$refs.textarea;\n        },\n        getSuffixVisible: function getSuffixVisible() {\n          return this.$slots.suffix || this.suffixIcon || this.showClear || this.showPassword || this.isWordLimitVisible || this.validateState && this.needStatusIcon;\n        }\n      },\n      created: function created() {\n        this.$on('inputSelect', this.select);\n      },\n      mounted: function mounted() {\n        this.setNativeInputValue();\n        this.resizeTextarea();\n        this.updateIconOffset();\n      },\n      updated: function updated() {\n        this.$nextTick(this.updateIconOffset);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/input/src/input.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_inputvue_type_script_lang_js_ = inputvue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_7608__(0);\n\n    // CONCATENATED MODULE: ./packages/input/src/input.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_inputvue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/input/src/input.vue\";\n    /* harmony default export */\n    var input = component.exports;\n    // CONCATENATED MODULE: ./packages/input/index.js\n\n    /* istanbul ignore next */\n    input.install = function (Vue) {\n      Vue.component(input.name, input);\n    };\n\n    /* harmony default export */\n    var packages_input = __webpack_exports__[\"default\"] = input;\n\n    /***/\n  },\n\n  /***/9: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/merge */ \"./node_modules/element-ui/lib/utils/merge.js\");\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/input.js?");
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-/***/ }),
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-/***/ "./node_modules/element-ui/lib/locale/format.js":
-/*!******************************************************!*\
-  !*** ./node_modules/element-ui/lib/locale/format.js ***!
-  \******************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n  return typeof obj;\n} : function (obj) {\n  return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n};\nexports[\"default\"] = function (Vue) {\n  /**\n   * template\n   *\n   * @param {String} string\n   * @param {Array} ...args\n   * @return {String}\n   */\n\n  function template(string) {\n    for (var _len = arguments.length, args = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) {\n      args[_key - 1] = arguments[_key];\n    }\n    if (args.length === 1 && _typeof(args[0]) === 'object') {\n      args = args[0];\n    }\n    if (!args || !args.hasOwnProperty) {\n      args = {};\n    }\n    return string.replace(RE_NARGS, function (match, prefix, i, index) {\n      var result = void 0;\n      if (string[index - 1] === '{' && string[index + match.length] === '}') {\n        return i;\n      } else {\n        result = (0, _util.hasOwn)(args, i) ? args[i] : null;\n        if (result === null || result === undefined) {\n          return '';\n        }\n        return result;\n      }\n    });\n  }\n  return template;\n};\nvar _util = __webpack_require__(/*! element-ui/lib/utils/util */ \"./node_modules/element-ui/lib/utils/util.js\");\nvar RE_NARGS = /(%|)\\{([0-9a-zA-Z_]+)\\}/g;\n/**\n *  String format template\n *  - Inspired:\n *    https://github.com/Matt-Esch/string-template/index.js\n */\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/locale/format.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/locale/index.js":
-/*!*****************************************************!*\
-  !*** ./node_modules/element-ui/lib/locale/index.js ***!
-  \*****************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nexports.i18n = exports.use = exports.t = undefined;\nvar _zhCN = __webpack_require__(/*! element-ui/lib/locale/lang/zh-CN */ \"./node_modules/element-ui/lib/locale/lang/zh-CN.js\");\nvar _zhCN2 = _interopRequireDefault(_zhCN);\nvar _vue = __webpack_require__(/*! vue */ \"./node_modules/vue/dist/vue.runtime.esm.js\");\nvar _vue2 = _interopRequireDefault(_vue);\nvar _deepmerge = __webpack_require__(/*! deepmerge */ \"./node_modules/deepmerge/dist/cjs.js\");\nvar _deepmerge2 = _interopRequireDefault(_deepmerge);\nvar _format = __webpack_require__(/*! ./format */ \"./node_modules/element-ui/lib/locale/format.js\");\nvar _format2 = _interopRequireDefault(_format);\nfunction _interopRequireDefault(obj) {\n  return obj && obj.__esModule ? obj : {\n    default: obj\n  };\n}\nvar format = (0, _format2.default)(_vue2.default);\nvar lang = _zhCN2.default;\nvar merged = false;\nvar i18nHandler = function i18nHandler() {\n  var vuei18n = Object.getPrototypeOf(this || _vue2.default).$t;\n  if (typeof vuei18n === 'function' && !!_vue2.default.locale) {\n    if (!merged) {\n      merged = true;\n      _vue2.default.locale(_vue2.default.config.lang, (0, _deepmerge2.default)(lang, _vue2.default.locale(_vue2.default.config.lang) || {}, {\n        clone: true\n      }));\n    }\n    return vuei18n.apply(this, arguments);\n  }\n};\nvar t = exports.t = function t(path, options) {\n  var value = i18nHandler.apply(this, arguments);\n  if (value !== null && value !== undefined) return value;\n  var array = path.split('.');\n  var current = lang;\n  for (var i = 0, j = array.length; i < j; i++) {\n    var property = array[i];\n    value = current[property];\n    if (i === j - 1) return format(value, options);\n    if (!value) return '';\n    current = value;\n  }\n  return '';\n};\nvar use = exports.use = function use(l) {\n  lang = l || lang;\n};\nvar i18n = exports.i18n = function i18n(fn) {\n  i18nHandler = fn || i18nHandler;\n};\nexports[\"default\"] = {\n  use: use,\n  t: t,\n  i18n: i18n\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/locale/index.js?");
-
-/***/ }),
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-/***/ "./node_modules/element-ui/lib/locale/lang/en.js":
-/*!*******************************************************!*\
-  !*** ./node_modules/element-ui/lib/locale/lang/en.js ***!
-  \*******************************************************/
-/***/ (function(__unused_webpack_module, exports) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nexports[\"default\"] = {\n  el: {\n    colorpicker: {\n      confirm: 'OK',\n      clear: 'Clear'\n    },\n    datepicker: {\n      now: 'Now',\n      today: 'Today',\n      cancel: 'Cancel',\n      clear: 'Clear',\n      confirm: 'OK',\n      selectDate: 'Select date',\n      selectTime: 'Select time',\n      startDate: 'Start Date',\n      startTime: 'Start Time',\n      endDate: 'End Date',\n      endTime: 'End Time',\n      prevYear: 'Previous Year',\n      nextYear: 'Next Year',\n      prevMonth: 'Previous Month',\n      nextMonth: 'Next Month',\n      year: '',\n      month1: 'January',\n      month2: 'February',\n      month3: 'March',\n      month4: 'April',\n      month5: 'May',\n      month6: 'June',\n      month7: 'July',\n      month8: 'August',\n      month9: 'September',\n      month10: 'October',\n      month11: 'November',\n      month12: 'December',\n      week: 'week',\n      weeks: {\n        sun: 'Sun',\n        mon: 'Mon',\n        tue: 'Tue',\n        wed: 'Wed',\n        thu: 'Thu',\n        fri: 'Fri',\n        sat: 'Sat'\n      },\n      months: {\n        jan: 'Jan',\n        feb: 'Feb',\n        mar: 'Mar',\n        apr: 'Apr',\n        may: 'May',\n        jun: 'Jun',\n        jul: 'Jul',\n        aug: 'Aug',\n        sep: 'Sep',\n        oct: 'Oct',\n        nov: 'Nov',\n        dec: 'Dec'\n      }\n    },\n    select: {\n      loading: 'Loading',\n      noMatch: 'No matching data',\n      noData: 'No data',\n      placeholder: 'Select'\n    },\n    cascader: {\n      noMatch: 'No matching data',\n      loading: 'Loading',\n      placeholder: 'Select',\n      noData: 'No data'\n    },\n    pagination: {\n      goto: 'Go to',\n      pagesize: '/page',\n      total: 'Total {total}',\n      pageClassifier: ''\n    },\n    messagebox: {\n      title: 'Message',\n      confirm: 'OK',\n      cancel: 'Cancel',\n      error: 'Illegal input'\n    },\n    upload: {\n      deleteTip: 'press delete to remove',\n      delete: 'Delete',\n      preview: 'Preview',\n      continue: 'Continue'\n    },\n    table: {\n      emptyText: 'No Data',\n      confirmFilter: 'Confirm',\n      resetFilter: 'Reset',\n      clearFilter: 'All',\n      sumText: 'Sum'\n    },\n    tree: {\n      emptyText: 'No Data'\n    },\n    transfer: {\n      noMatch: 'No matching data',\n      noData: 'No data',\n      titles: ['List 1', 'List 2'],\n      // to be translated\n      filterPlaceholder: 'Enter keyword',\n      // to be translated\n      noCheckedFormat: '{total} items',\n      // to be translated\n      hasCheckedFormat: '{checked}/{total} checked' // to be translated\n    },\n\n    image: {\n      error: 'FAILED'\n    },\n    pageHeader: {\n      title: 'Back' // to be translated\n    },\n\n    popconfirm: {\n      confirmButtonText: 'Yes',\n      cancelButtonText: 'No'\n    },\n    empty: {\n      description: 'No Data'\n    }\n  }\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/locale/lang/en.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/locale/lang/zh-CN.js":
-/*!**********************************************************!*\
-  !*** ./node_modules/element-ui/lib/locale/lang/zh-CN.js ***!
-  \**********************************************************/
-/***/ (function(__unused_webpack_module, exports) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nexports[\"default\"] = {\n  el: {\n    colorpicker: {\n      confirm: '确定',\n      clear: '清空'\n    },\n    datepicker: {\n      now: '此刻',\n      today: '今天',\n      cancel: '取消',\n      clear: '清空',\n      confirm: '确定',\n      selectDate: '选择日期',\n      selectTime: '选择时间',\n      startDate: '开始日期',\n      startTime: '开始时间',\n      endDate: '结束日期',\n      endTime: '结束时间',\n      prevYear: '前一年',\n      nextYear: '后一年',\n      prevMonth: '上个月',\n      nextMonth: '下个月',\n      year: '年',\n      month1: '1 月',\n      month2: '2 月',\n      month3: '3 月',\n      month4: '4 月',\n      month5: '5 月',\n      month6: '6 月',\n      month7: '7 月',\n      month8: '8 月',\n      month9: '9 月',\n      month10: '10 月',\n      month11: '11 月',\n      month12: '12 月',\n      // week: '周次',\n      weeks: {\n        sun: '日',\n        mon: '一',\n        tue: '二',\n        wed: '三',\n        thu: '四',\n        fri: '五',\n        sat: '六'\n      },\n      months: {\n        jan: '一月',\n        feb: '二月',\n        mar: '三月',\n        apr: '四月',\n        may: '五月',\n        jun: '六月',\n        jul: '七月',\n        aug: '八月',\n        sep: '九月',\n        oct: '十月',\n        nov: '十一月',\n        dec: '十二月'\n      }\n    },\n    select: {\n      loading: '加载中',\n      noMatch: '无匹配数据',\n      noData: '无数据',\n      placeholder: '请选择'\n    },\n    cascader: {\n      noMatch: '无匹配数据',\n      loading: '加载中',\n      placeholder: '请选择',\n      noData: '暂无数据'\n    },\n    pagination: {\n      goto: '前往',\n      pagesize: '条/页',\n      total: '共 {total} 条',\n      pageClassifier: '页'\n    },\n    messagebox: {\n      title: '提示',\n      confirm: '确定',\n      cancel: '取消',\n      error: '输入的数据不合法!'\n    },\n    upload: {\n      deleteTip: '按 delete 键可删除',\n      delete: '删除',\n      preview: '查看图片',\n      continue: '继续上传'\n    },\n    table: {\n      emptyText: '暂无数据',\n      confirmFilter: '筛选',\n      resetFilter: '重置',\n      clearFilter: '全部',\n      sumText: '合计'\n    },\n    tree: {\n      emptyText: '暂无数据'\n    },\n    transfer: {\n      noMatch: '无匹配数据',\n      noData: '无数据',\n      titles: ['列表 1', '列表 2'],\n      filterPlaceholder: '请输入搜索内容',\n      noCheckedFormat: '共 {total} 项',\n      hasCheckedFormat: '已选 {checked}/{total} 项'\n    },\n    image: {\n      error: '加载失败'\n    },\n    pageHeader: {\n      title: '返回'\n    },\n    popconfirm: {\n      confirmButtonText: '确定',\n      cancelButtonText: '取消'\n    },\n    empty: {\n      description: '暂无数据'\n    }\n  }\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/locale/lang/zh-CN.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/mixins/emitter.js":
-/*!*******************************************************!*\
-  !*** ./node_modules/element-ui/lib/mixins/emitter.js ***!
-  \*******************************************************/
-/***/ (function(__unused_webpack_module, exports) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nfunction _broadcast(componentName, eventName, params) {\n  this.$children.forEach(function (child) {\n    var name = child.$options.componentName;\n    if (name === componentName) {\n      child.$emit.apply(child, [eventName].concat(params));\n    } else {\n      _broadcast.apply(child, [componentName, eventName].concat([params]));\n    }\n  });\n}\nexports[\"default\"] = {\n  methods: {\n    dispatch: function dispatch(componentName, eventName, params) {\n      var parent = this.$parent || this.$root;\n      var name = parent.$options.componentName;\n      while (parent && (!name || name !== componentName)) {\n        parent = parent.$parent;\n        if (parent) {\n          name = parent.$options.componentName;\n        }\n      }\n      if (parent) {\n        parent.$emit.apply(parent, [eventName].concat(params));\n      }\n    },\n    broadcast: function broadcast(componentName, eventName, params) {\n      _broadcast.call(this, componentName, eventName, params);\n    }\n  }\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/mixins/emitter.js?");
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-/***/ }),
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-/***/ "./node_modules/element-ui/lib/mixins/focus.js":
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-  !*** ./node_modules/element-ui/lib/mixins/focus.js ***!
-  \*****************************************************/
-/***/ (function(__unused_webpack_module, exports) {
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-"use strict";
-eval("\n\nexports.__esModule = true;\nexports[\"default\"] = function (ref) {\n  return {\n    methods: {\n      focus: function focus() {\n        this.$refs[ref].focus();\n      }\n    }\n  };\n};\n;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/mixins/focus.js?");
-
-/***/ }),
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-/***/ "./node_modules/element-ui/lib/mixins/locale.js":
-/*!******************************************************!*\
-  !*** ./node_modules/element-ui/lib/mixins/locale.js ***!
-  \******************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nvar _locale = __webpack_require__(/*! element-ui/lib/locale */ \"./node_modules/element-ui/lib/locale/index.js\");\nexports[\"default\"] = {\n  methods: {\n    t: function t() {\n      for (var _len = arguments.length, args = Array(_len), _key = 0; _key < _len; _key++) {\n        args[_key] = arguments[_key];\n      }\n      return _locale.t.apply(this, args);\n    }\n  }\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/mixins/locale.js?");
-
-/***/ }),
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-/***/ "./node_modules/element-ui/lib/mixins/migrating.js":
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-  !*** ./node_modules/element-ui/lib/mixins/migrating.js ***!
-  \*********************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
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-"use strict";
-eval("/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\n\n\nexports.__esModule = true;\nvar _util = __webpack_require__(/*! element-ui/lib/utils/util */ \"./node_modules/element-ui/lib/utils/util.js\");\n\n/**\n * Show migrating guide in browser console.\n *\n * Usage:\n * import Migrating from 'element-ui/src/mixins/migrating';\n *\n * mixins: [Migrating]\n *\n * add getMigratingConfig method for your component.\n *  getMigratingConfig() {\n *    return {\n *      props: {\n *        'allow-no-selection': 'allow-no-selection is removed.',\n *        'selection-mode': 'selection-mode is removed.'\n *      },\n *      events: {\n *        selectionchange: 'selectionchange is renamed to selection-change.'\n *      }\n *    };\n *  },\n */\nexports[\"default\"] = {\n  mounted: function mounted() {\n    if (false) {}\n    if (!this.$vnode) return;\n    var _getMigratingConfig = this.getMigratingConfig(),\n      _getMigratingConfig$p = _getMigratingConfig.props,\n      props = _getMigratingConfig$p === undefined ? {} : _getMigratingConfig$p,\n      _getMigratingConfig$e = _getMigratingConfig.events,\n      events = _getMigratingConfig$e === undefined ? {} : _getMigratingConfig$e;\n    var _$vnode = this.$vnode,\n      data = _$vnode.data,\n      componentOptions = _$vnode.componentOptions;\n    var definedProps = data.attrs || {};\n    var definedEvents = componentOptions.listeners || {};\n    for (var propName in definedProps) {\n      propName = (0, _util.kebabCase)(propName); // compatible with camel case\n      if (props[propName]) {\n        console.warn('[Element Migrating][' + this.$options.name + '][Attribute]: ' + props[propName]);\n      }\n    }\n    for (var eventName in definedEvents) {\n      eventName = (0, _util.kebabCase)(eventName); // compatible with camel case\n      if (events[eventName]) {\n        console.warn('[Element Migrating][' + this.$options.name + '][Event]: ' + events[eventName]);\n      }\n    }\n  },\n  methods: {\n    getMigratingConfig: function getMigratingConfig() {\n      return {\n        props: {},\n        events: {}\n      };\n    }\n  }\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/mixins/migrating.js?");
-
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? [].concat(existing, hook) : [hook];\n        }\n      }\n      return {\n        exports: scriptExports,\n        options: options\n      };\n    }\n\n    /***/\n  },\n\n  /***/3: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/util */ \"./node_modules/element-ui/lib/utils/util.js\");\n\n    /***/\n  },\n\n  /***/33: /***/function (module, __webpack_exports__, __nested_webpack_require_7399__) {\n    \"use strict\";\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/option.vue?vue&type=template&id=7a44c642&\n    var render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"li\", {\n        directives: [{\n          name: \"show\",\n          rawName: \"v-show\",\n          value: _vm.visible,\n          expression: \"visible\"\n        }],\n        staticClass: \"el-select-dropdown__item\",\n        class: {\n          selected: _vm.itemSelected,\n          \"is-disabled\": _vm.disabled || _vm.groupDisabled || _vm.limitReached,\n          hover: _vm.hover\n        },\n        on: {\n          mouseenter: _vm.hoverItem,\n          click: function ($event) {\n            $event.stopPropagation();\n            return _vm.selectOptionClick($event);\n          }\n        }\n      }, [_vm._t(\"default\", [_c(\"span\", [_vm._v(_vm._s(_vm.currentLabel))])])], 2);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/select/src/option.vue?vue&type=template&id=7a44c642&\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/emitter\"\n    var emitter_ = __nested_webpack_require_7399__(4);\n    var emitter_default = /*#__PURE__*/__nested_webpack_require_7399__.n(emitter_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/util\"\n    var util_ = __nested_webpack_require_7399__(3);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/option.vue?vue&type=script&lang=js&\n    var _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n      return typeof obj;\n    } : function (obj) {\n      return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n    };\n\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var optionvue_type_script_lang_js_ = {\n      mixins: [emitter_default.a],\n      name: 'ElOption',\n      componentName: 'ElOption',\n      inject: ['select'],\n      props: {\n        value: {\n          required: true\n        },\n        label: [String, Number],\n        created: Boolean,\n        disabled: {\n          type: Boolean,\n          default: false\n        }\n      },\n      data: function data() {\n        return {\n          index: -1,\n          groupDisabled: false,\n          visible: true,\n          hitState: false,\n          hover: false\n        };\n      },\n      computed: {\n        isObject: function isObject() {\n          return Object.prototype.toString.call(this.value).toLowerCase() === '[object object]';\n        },\n        currentLabel: function currentLabel() {\n          return this.label || (this.isObject ? '' : this.value);\n        },\n        currentValue: function currentValue() {\n          return this.value || this.label || '';\n        },\n        itemSelected: function itemSelected() {\n          if (!this.select.multiple) {\n            return this.isEqual(this.value, this.select.value);\n          } else {\n            return this.contains(this.select.value, this.value);\n          }\n        },\n        limitReached: function limitReached() {\n          if (this.select.multiple) {\n            return !this.itemSelected && (this.select.value || []).length >= this.select.multipleLimit && this.select.multipleLimit > 0;\n          } else {\n            return false;\n          }\n        }\n      },\n      watch: {\n        currentLabel: function currentLabel() {\n          if (!this.created && !this.select.remote) this.dispatch('ElSelect', 'setSelected');\n        },\n        value: function value(val, oldVal) {\n          var _select = this.select,\n            remote = _select.remote,\n            valueKey = _select.valueKey;\n          if (!this.created && !remote) {\n            if (valueKey && (typeof val === 'undefined' ? 'undefined' : _typeof(val)) === 'object' && (typeof oldVal === 'undefined' ? 'undefined' : _typeof(oldVal)) === 'object' && val[valueKey] === oldVal[valueKey]) {\n              return;\n            }\n            this.dispatch('ElSelect', 'setSelected');\n          }\n        }\n      },\n      methods: {\n        isEqual: function isEqual(a, b) {\n          if (!this.isObject) {\n            return a === b;\n          } else {\n            var valueKey = this.select.valueKey;\n            return Object(util_[\"getValueByPath\"])(a, valueKey) === Object(util_[\"getValueByPath\"])(b, valueKey);\n          }\n        },\n        contains: function contains() {\n          var arr = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : [];\n          var target = arguments[1];\n          if (!this.isObject) {\n            return arr && arr.indexOf(target) > -1;\n          } else {\n            var valueKey = this.select.valueKey;\n            return arr && arr.some(function (item) {\n              return Object(util_[\"getValueByPath\"])(item, valueKey) === Object(util_[\"getValueByPath\"])(target, valueKey);\n            });\n          }\n        },\n        handleGroupDisabled: function handleGroupDisabled(val) {\n          this.groupDisabled = val;\n        },\n        hoverItem: function hoverItem() {\n          if (!this.disabled && !this.groupDisabled) {\n            this.select.hoverIndex = this.select.options.indexOf(this);\n          }\n        },\n        selectOptionClick: function selectOptionClick() {\n          if (this.disabled !== true && this.groupDisabled !== true) {\n            this.dispatch('ElSelect', 'handleOptionClick', [this, true]);\n          }\n        },\n        queryChange: function queryChange(query) {\n          this.visible = new RegExp(Object(util_[\"escapeRegexpString\"])(query), 'i').test(this.currentLabel) || this.created;\n          if (!this.visible) {\n            this.select.filteredOptionsCount--;\n          }\n        }\n      },\n      created: function created() {\n        this.select.options.push(this);\n        this.select.cachedOptions.push(this);\n        this.select.optionsCount++;\n        this.select.filteredOptionsCount++;\n        this.$on('queryChange', this.queryChange);\n        this.$on('handleGroupDisabled', this.handleGroupDisabled);\n      },\n      beforeDestroy: function beforeDestroy() {\n        var _select2 = this.select,\n          selected = _select2.selected,\n          multiple = _select2.multiple;\n        var selectedOptions = multiple ? selected : [selected];\n        var index = this.select.cachedOptions.indexOf(this);\n        var selectedIndex = selectedOptions.indexOf(this);\n\n        // if option is not selected, remove it from cache\n        if (index > -1 && selectedIndex < 0) {\n          this.select.cachedOptions.splice(index, 1);\n        }\n        this.select.onOptionDestroy(this.select.options.indexOf(this));\n      }\n    };\n    // CONCATENATED MODULE: ./packages/select/src/option.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_optionvue_type_script_lang_js_ = optionvue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_7399__(0);\n\n    // CONCATENATED MODULE: ./packages/select/src/option.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_optionvue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/select/src/option.vue\";\n    /* harmony default export */\n    var src_option = __webpack_exports__[\"a\"] = component.exports;\n\n    /***/\n  },\n\n  /***/4: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/mixins/emitter */ \"./node_modules/element-ui/lib/mixins/emitter.js\");\n\n    /***/\n  },\n\n  /***/54: /***/function (module, __webpack_exports__, __nested_webpack_require_15379__) {\n    \"use strict\";\n\n    __nested_webpack_require_15379__.r(__webpack_exports__);\n    /* harmony import */\n    var _select_src_option__WEBPACK_IMPORTED_MODULE_0__ = __nested_webpack_require_15379__(33);\n\n    /* istanbul ignore next */\n    _select_src_option__WEBPACK_IMPORTED_MODULE_0__[/* default */\"a\"].install = function (Vue) {\n      Vue.component(_select_src_option__WEBPACK_IMPORTED_MODULE_0__[/* default */\"a\"].name, _select_src_option__WEBPACK_IMPORTED_MODULE_0__[/* default */\"a\"]);\n    };\n\n    /* harmony default export */\n    __webpack_exports__[\"default\"] = _select_src_option__WEBPACK_IMPORTED_MODULE_0__[/* default */\"a\"];\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/option.js?");
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? 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__nested_webpack_require_7697__) {\n    \"use strict\";\n\n    __nested_webpack_require_7697__.r(__webpack_exports__);\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/popover/src/main.vue?vue&type=template&id=52060272&\n    var render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"span\", [_c(\"transition\", {\n        attrs: {\n          name: _vm.transition\n        },\n        on: {\n          \"after-enter\": _vm.handleAfterEnter,\n          \"after-leave\": _vm.handleAfterLeave\n        }\n      }, [_c(\"div\", {\n        directives: [{\n          name: \"show\",\n          rawName: \"v-show\",\n          value: !_vm.disabled && _vm.showPopper,\n          expression: \"!disabled && showPopper\"\n        }],\n        ref: \"popper\",\n        staticClass: \"el-popover el-popper\",\n        class: [_vm.popperClass, _vm.content && \"el-popover--plain\"],\n        style: {\n          width: _vm.width + \"px\"\n        },\n        attrs: {\n          role: \"tooltip\",\n          id: _vm.tooltipId,\n          \"aria-hidden\": _vm.disabled || !_vm.showPopper ? \"true\" : \"false\"\n        }\n      }, [_vm.title ? _c(\"div\", {\n        staticClass: \"el-popover__title\",\n        domProps: {\n          textContent: _vm._s(_vm.title)\n        }\n      }) : _vm._e(), _vm._t(\"default\", [_vm._v(_vm._s(_vm.content))])], 2)]), _c(\"span\", {\n        ref: \"wrapper\",\n        staticClass: \"el-popover__reference-wrapper\"\n      }, [_vm._t(\"reference\")], 2)], 1);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/popover/src/main.vue?vue&type=template&id=52060272&\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/vue-popper\"\n    var vue_popper_ = __nested_webpack_require_7697__(5);\n    var vue_popper_default = /*#__PURE__*/__nested_webpack_require_7697__.n(vue_popper_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/dom\"\n    var dom_ = __nested_webpack_require_7697__(2);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/util\"\n    var util_ = __nested_webpack_require_7697__(3);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/popover/src/main.vue?vue&type=script&lang=js&\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var mainvue_type_script_lang_js_ = {\n      name: 'ElPopover',\n      mixins: [vue_popper_default.a],\n      props: {\n        trigger: {\n          type: String,\n          default: 'click',\n          validator: function validator(value) {\n            return ['click', 'focus', 'hover', 'manual'].indexOf(value) > -1;\n          }\n        },\n        openDelay: {\n          type: Number,\n          default: 0\n        },\n        closeDelay: {\n          type: Number,\n          default: 200\n        },\n        title: String,\n        disabled: Boolean,\n        content: String,\n        reference: {},\n        popperClass: String,\n        width: {},\n        visibleArrow: {\n          default: true\n        },\n        arrowOffset: {\n          type: Number,\n          default: 0\n        },\n        transition: {\n          type: String,\n          default: 'fade-in-linear'\n        },\n        tabindex: {\n          type: Number,\n          default: 0\n        }\n      },\n      computed: {\n        tooltipId: function tooltipId() {\n          return 'el-popover-' + Object(util_[\"generateId\"])();\n        }\n      },\n      watch: {\n        showPopper: function showPopper(val) {\n          if (this.disabled) {\n            return;\n          }\n          val ? this.$emit('show') : this.$emit('hide');\n        }\n      },\n      mounted: function mounted() {\n        var _this = this;\n        var reference = this.referenceElm = this.reference || this.$refs.reference;\n        var popper = this.popper || this.$refs.popper;\n        if (!reference && this.$refs.wrapper.children) {\n          reference = this.referenceElm = this.$refs.wrapper.children[0];\n        }\n        // 可访问性\n        if (reference) {\n          Object(dom_[\"addClass\"])(reference, 'el-popover__reference');\n          reference.setAttribute('aria-describedby', this.tooltipId);\n          reference.setAttribute('tabindex', this.tabindex); // tab序列\n          popper.setAttribute('tabindex', 0);\n          if (this.trigger !== 'click') {\n            Object(dom_[\"on\"])(reference, 'focusin', function () {\n              _this.handleFocus();\n              var instance = reference.__vue__;\n              if (instance && typeof instance.focus === 'function') {\n                instance.focus();\n              }\n            });\n            Object(dom_[\"on\"])(popper, 'focusin', this.handleFocus);\n            Object(dom_[\"on\"])(reference, 'focusout', this.handleBlur);\n            Object(dom_[\"on\"])(popper, 'focusout', this.handleBlur);\n          }\n          Object(dom_[\"on\"])(reference, 'keydown', this.handleKeydown);\n          Object(dom_[\"on\"])(reference, 'click', this.handleClick);\n        }\n        if (this.trigger === 'click') {\n          Object(dom_[\"on\"])(reference, 'click', this.doToggle);\n          Object(dom_[\"on\"])(document, 'click', this.handleDocumentClick);\n        } else if (this.trigger === 'hover') {\n          Object(dom_[\"on\"])(reference, 'mouseenter', this.handleMouseEnter);\n          Object(dom_[\"on\"])(popper, 'mouseenter', this.handleMouseEnter);\n          Object(dom_[\"on\"])(reference, 'mouseleave', this.handleMouseLeave);\n          Object(dom_[\"on\"])(popper, 'mouseleave', this.handleMouseLeave);\n        } else if (this.trigger === 'focus') {\n          if (this.tabindex < 0) {\n            console.warn('[Element Warn][Popover]a negative taindex means that the element cannot be focused by tab key');\n          }\n          if (reference.querySelector('input, textarea')) {\n            Object(dom_[\"on\"])(reference, 'focusin', this.doShow);\n            Object(dom_[\"on\"])(reference, 'focusout', this.doClose);\n          } else {\n            Object(dom_[\"on\"])(reference, 'mousedown', this.doShow);\n            Object(dom_[\"on\"])(reference, 'mouseup', this.doClose);\n          }\n        }\n      },\n      beforeDestroy: function beforeDestroy() {\n        this.cleanup();\n      },\n      deactivated: function deactivated() {\n        this.cleanup();\n      },\n      methods: {\n        doToggle: function doToggle() {\n          this.showPopper = !this.showPopper;\n        },\n        doShow: function doShow() {\n          this.showPopper = true;\n        },\n        doClose: function doClose() {\n          this.showPopper = false;\n        },\n        handleFocus: function handleFocus() {\n          Object(dom_[\"addClass\"])(this.referenceElm, 'focusing');\n          if (this.trigger === 'click' || this.trigger === 'focus') this.showPopper = true;\n        },\n        handleClick: function handleClick() {\n          Object(dom_[\"removeClass\"])(this.referenceElm, 'focusing');\n        },\n        handleBlur: function handleBlur() {\n          Object(dom_[\"removeClass\"])(this.referenceElm, 'focusing');\n          if (this.trigger === 'click' || this.trigger === 'focus') this.showPopper = false;\n        },\n        handleMouseEnter: function handleMouseEnter() {\n          var _this2 = this;\n          clearTimeout(this._timer);\n          if (this.openDelay) {\n            this._timer = setTimeout(function () {\n              _this2.showPopper = true;\n            }, this.openDelay);\n          } else {\n            this.showPopper = true;\n          }\n        },\n        handleKeydown: function handleKeydown(ev) {\n          if (ev.keyCode === 27 && this.trigger !== 'manual') {\n            // esc\n            this.doClose();\n          }\n        },\n        handleMouseLeave: function handleMouseLeave() {\n          var _this3 = this;\n          clearTimeout(this._timer);\n          if (this.closeDelay) {\n            this._timer = setTimeout(function () {\n              _this3.showPopper = false;\n            }, this.closeDelay);\n          } else {\n            this.showPopper = false;\n          }\n        },\n        handleDocumentClick: function handleDocumentClick(e) {\n          var reference = this.reference || this.$refs.reference;\n          var popper = this.popper || this.$refs.popper;\n          if (!reference && this.$refs.wrapper.children) {\n            reference = this.referenceElm = this.$refs.wrapper.children[0];\n          }\n          if (!this.$el || !reference || this.$el.contains(e.target) || reference.contains(e.target) || !popper || popper.contains(e.target)) return;\n          this.showPopper = false;\n        },\n        handleAfterEnter: function handleAfterEnter() {\n          this.$emit('after-enter');\n        },\n        handleAfterLeave: function handleAfterLeave() {\n          this.$emit('after-leave');\n          this.doDestroy();\n        },\n        cleanup: function cleanup() {\n          if (this.openDelay || this.closeDelay) {\n            clearTimeout(this._timer);\n          }\n        }\n      },\n      destroyed: function destroyed() {\n        var reference = this.reference;\n        Object(dom_[\"off\"])(reference, 'click', this.doToggle);\n        Object(dom_[\"off\"])(reference, 'mouseup', this.doClose);\n        Object(dom_[\"off\"])(reference, 'mousedown', this.doShow);\n        Object(dom_[\"off\"])(reference, 'focusin', this.doShow);\n        Object(dom_[\"off\"])(reference, 'focusout', this.doClose);\n        Object(dom_[\"off\"])(reference, 'mousedown', this.doShow);\n        Object(dom_[\"off\"])(reference, 'mouseup', this.doClose);\n        Object(dom_[\"off\"])(reference, 'mouseleave', this.handleMouseLeave);\n        Object(dom_[\"off\"])(reference, 'mouseenter', this.handleMouseEnter);\n        Object(dom_[\"off\"])(document, 'click', this.handleDocumentClick);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/popover/src/main.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_mainvue_type_script_lang_js_ = mainvue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_7697__(0);\n\n    // CONCATENATED MODULE: ./packages/popover/src/main.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_mainvue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/popover/src/main.vue\";\n    /* harmony default export */\n    var main = component.exports;\n    // CONCATENATED MODULE: ./packages/popover/src/directive.js\n    var getReference = function getReference(el, binding, vnode) {\n      var _ref = binding.expression ? binding.value : binding.arg;\n      var popper = vnode.context.$refs[_ref];\n      if (popper) {\n        if (Array.isArray(popper)) {\n          popper[0].$refs.reference = el;\n        } else {\n          popper.$refs.reference = el;\n        }\n      }\n    };\n\n    /* harmony default export */\n    var directive = {\n      bind: function bind(el, binding, vnode) {\n        getReference(el, binding, vnode);\n      },\n      inserted: function inserted(el, binding, vnode) {\n        getReference(el, binding, vnode);\n      }\n    };\n    // EXTERNAL MODULE: external \"vue\"\n    var external_vue_ = __nested_webpack_require_7697__(7);\n    var external_vue_default = /*#__PURE__*/__nested_webpack_require_7697__.n(external_vue_);\n\n    // CONCATENATED MODULE: ./packages/popover/index.js\n\n    external_vue_default.a.directive('popover', directive);\n\n    /* istanbul ignore next */\n    main.install = function (Vue) {\n      Vue.directive('popover', directive);\n      Vue.component(main.name, main);\n    };\n    main.directive = directive;\n\n    /* harmony default export */\n    var popover = __webpack_exports__[\"default\"] = main;\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/popover.js?");
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? [].concat(existing, hook) : [hook];\n        }\n      }\n      return {\n        exports: scriptExports,\n        options: options\n      };\n    }\n\n    /***/\n  },\n\n  /***/104: /***/function (module, __webpack_exports__, __nested_webpack_require_7236__) {\n    \"use strict\";\n\n    __nested_webpack_require_7236__.r(__webpack_exports__);\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/progress/src/progress.vue?vue&type=template&id=229ee406&\n    var render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"div\", {\n        staticClass: \"el-progress\",\n        class: [\"el-progress--\" + _vm.type, _vm.status ? \"is-\" + _vm.status : \"\", {\n          \"el-progress--without-text\": !_vm.showText,\n          \"el-progress--text-inside\": _vm.textInside\n        }],\n        attrs: {\n          role: \"progressbar\",\n          \"aria-valuenow\": _vm.percentage,\n          \"aria-valuemin\": \"0\",\n          \"aria-valuemax\": \"100\"\n        }\n      }, [_vm.type === \"line\" ? _c(\"div\", {\n        staticClass: \"el-progress-bar\"\n      }, [_c(\"div\", {\n        staticClass: \"el-progress-bar__outer\",\n        style: {\n          height: _vm.strokeWidth + \"px\",\n          backgroundColor: _vm.defineBackColor\n        }\n      }, [_c(\"div\", {\n        staticClass: \"el-progress-bar__inner\",\n        style: _vm.barStyle\n      }, [_vm.showText && _vm.textInside ? _c(\"div\", {\n        staticClass: \"el-progress-bar__innerText\",\n        style: {\n          color: _vm.textColor\n        }\n      }, [_vm._v(_vm._s(_vm.content))]) : _vm._e()])])]) : _c(\"div\", {\n        staticClass: \"el-progress-circle\",\n        style: {\n          height: _vm.width + \"px\",\n          width: _vm.width + \"px\"\n        }\n      }, [_c(\"svg\", {\n        attrs: {\n          viewBox: \"0 0 100 100\"\n        }\n      }, [_c(\"path\", {\n        staticClass: \"el-progress-circle__track\",\n        style: _vm.trailPathStyle,\n        attrs: {\n          d: _vm.trackPath,\n          stroke: _vm.defineBackColor,\n          \"stroke-width\": _vm.relativeStrokeWidth,\n          fill: \"none\"\n        }\n      }), _c(\"path\", {\n        staticClass: \"el-progress-circle__path\",\n        style: _vm.circlePathStyle,\n        attrs: {\n          d: _vm.trackPath,\n          stroke: _vm.stroke,\n          fill: \"none\",\n          \"stroke-linecap\": _vm.strokeLinecap,\n          \"stroke-width\": _vm.percentage ? _vm.relativeStrokeWidth : 0\n        }\n      })])]), _vm.showText && !_vm.textInside ? _c(\"div\", {\n        staticClass: \"el-progress__text\",\n        style: {\n          fontSize: _vm.progressTextSize + \"px\",\n          color: _vm.textColor\n        }\n      }, [!_vm.status ? [_vm._v(_vm._s(_vm.content))] : _c(\"i\", {\n        class: _vm.iconClass\n      })], 2) : _vm._e()]);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/progress/src/progress.vue?vue&type=template&id=229ee406&\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/progress/src/progress.vue?vue&type=script&lang=js&\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var progressvue_type_script_lang_js_ = {\n      name: 'ElProgress',\n      props: {\n        type: {\n          type: String,\n          default: 'line',\n          validator: function validator(val) {\n            return ['line', 'circle', 'dashboard'].indexOf(val) > -1;\n          }\n        },\n        percentage: {\n          type: Number,\n          default: 0,\n          required: true,\n          validator: function validator(val) {\n            return val >= 0 && val <= 100;\n          }\n        },\n        status: {\n          type: String,\n          validator: function validator(val) {\n            return ['success', 'exception', 'warning'].indexOf(val) > -1;\n          }\n        },\n        strokeWidth: {\n          type: Number,\n          default: 6\n        },\n        strokeLinecap: {\n          type: String,\n          default: 'round'\n        },\n        textInside: {\n          type: Boolean,\n          default: false\n        },\n        width: {\n          type: Number,\n          default: 126\n        },\n        showText: {\n          type: Boolean,\n          default: true\n        },\n        color: {\n          type: [String, Array, Function],\n          default: ''\n        },\n        defineBackColor: {\n          type: [String, Array, Function],\n          default: '#ebeef5'\n        },\n        textColor: {\n          type: [String, Array, Function],\n          default: '#606266'\n        },\n        format: Function\n      },\n      computed: {\n        barStyle: function barStyle() {\n          var style = {};\n          style.width = this.percentage + '%';\n          style.backgroundColor = this.getCurrentColor(this.percentage);\n          return style;\n        },\n        relativeStrokeWidth: function relativeStrokeWidth() {\n          return (this.strokeWidth / this.width * 100).toFixed(1);\n        },\n        radius: function radius() {\n          if (this.type === 'circle' || this.type === 'dashboard') {\n            return parseInt(50 - parseFloat(this.relativeStrokeWidth) / 2, 10);\n          } else {\n            return 0;\n          }\n        },\n        trackPath: function trackPath() {\n          var radius = this.radius;\n          var isDashboard = this.type === 'dashboard';\n          return '\\n        M 50 50\\n        m 0 ' + (isDashboard ? '' : '-') + radius + '\\n        a ' + radius + ' ' + radius + ' 0 1 1 0 ' + (isDashboard ? '-' : '') + radius * 2 + '\\n        a ' + radius + ' ' + radius + ' 0 1 1 0 ' + (isDashboard ? '' : '-') + radius * 2 + '\\n        ';\n        },\n        perimeter: function perimeter() {\n          return 2 * Math.PI * this.radius;\n        },\n        rate: function rate() {\n          return this.type === 'dashboard' ? 0.75 : 1;\n        },\n        strokeDashoffset: function strokeDashoffset() {\n          var offset = -1 * this.perimeter * (1 - this.rate) / 2;\n          return offset + 'px';\n        },\n        trailPathStyle: function trailPathStyle() {\n          return {\n            strokeDasharray: this.perimeter * this.rate + 'px, ' + this.perimeter + 'px',\n            strokeDashoffset: this.strokeDashoffset\n          };\n        },\n        circlePathStyle: function circlePathStyle() {\n          return {\n            strokeDasharray: this.perimeter * this.rate * (this.percentage / 100) + 'px, ' + this.perimeter + 'px',\n            strokeDashoffset: this.strokeDashoffset,\n            transition: 'stroke-dasharray 0.6s ease 0s, stroke 0.6s ease'\n          };\n        },\n        stroke: function stroke() {\n          var ret = void 0;\n          if (this.color) {\n            ret = this.getCurrentColor(this.percentage);\n          } else {\n            switch (this.status) {\n              case 'success':\n                ret = '#13ce66';\n                break;\n              case 'exception':\n                ret = '#ff4949';\n                break;\n              case 'warning':\n                ret = '#e6a23c';\n                break;\n              default:\n                ret = '#20a0ff';\n            }\n          }\n          return ret;\n        },\n        iconClass: function iconClass() {\n          if (this.status === 'warning') {\n            return 'el-icon-warning';\n          }\n          if (this.type === 'line') {\n            return this.status === 'success' ? 'el-icon-circle-check' : 'el-icon-circle-close';\n          } else {\n            return this.status === 'success' ? 'el-icon-check' : 'el-icon-close';\n          }\n        },\n        progressTextSize: function progressTextSize() {\n          return this.type === 'line' ? 12 + this.strokeWidth * 0.4 : this.width * 0.111111 + 2;\n        },\n        content: function content() {\n          if (typeof this.format === 'function') {\n            return this.format(this.percentage) || '';\n          } else {\n            return this.percentage + '%';\n          }\n        }\n      },\n      methods: {\n        getCurrentColor: function getCurrentColor(percentage) {\n          if (typeof this.color === 'function') {\n            return this.color(percentage);\n          } else if (typeof this.color === 'string') {\n            return this.color;\n          } else {\n            return this.getLevelColor(percentage);\n          }\n        },\n        getLevelColor: function getLevelColor(percentage) {\n          var colorArray = this.getColorArray().sort(function (a, b) {\n            return a.percentage - b.percentage;\n          });\n          for (var i = 0; i < colorArray.length; i++) {\n            if (colorArray[i].percentage > percentage) {\n              return colorArray[i].color;\n            }\n          }\n          return colorArray[colorArray.length - 1].color;\n        },\n        getColorArray: function getColorArray() {\n          var color = this.color;\n          var span = 100 / color.length;\n          return color.map(function (seriesColor, index) {\n            if (typeof seriesColor === 'string') {\n              return {\n                color: seriesColor,\n                percentage: (index + 1) * span\n              };\n            }\n            return seriesColor;\n          });\n        }\n      }\n    };\n    // CONCATENATED MODULE: ./packages/progress/src/progress.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_progressvue_type_script_lang_js_ = progressvue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_7236__(0);\n\n    // CONCATENATED MODULE: ./packages/progress/src/progress.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_progressvue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/progress/src/progress.vue\";\n    /* harmony default export */\n    var progress = component.exports;\n    // CONCATENATED MODULE: ./packages/progress/index.js\n\n    /* istanbul ignore next */\n    progress.install = function (Vue) {\n      Vue.component(progress.name, progress);\n    };\n\n    /* harmony default export */\n    var packages_progress = __webpack_exports__[\"default\"] = progress;\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/progress.js?");
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? [].concat(existing, hook) : [hook];\n        }\n      }\n      return {\n        exports: scriptExports,\n        options: options\n      };\n    }\n\n    /***/\n  },\n\n  /***/4: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/mixins/emitter */ \"./node_modules/element-ui/lib/mixins/emitter.js\");\n\n    /***/\n  },\n\n  /***/88: /***/function (module, __webpack_exports__, __nested_webpack_require_7358__) {\n    \"use strict\";\n\n    __nested_webpack_require_7358__.r(__webpack_exports__);\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/radio/src/radio.vue?vue&type=template&id=69cd6268&\n    var render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"label\", {\n        staticClass: \"el-radio\",\n        class: [_vm.border && _vm.radioSize ? \"el-radio--\" + _vm.radioSize : \"\", {\n          \"is-disabled\": _vm.isDisabled\n        }, {\n          \"is-focus\": _vm.focus\n        }, {\n          \"is-bordered\": _vm.border\n        }, {\n          \"is-checked\": _vm.model === _vm.label\n        }],\n        attrs: {\n          role: \"radio\",\n          \"aria-checked\": _vm.model === _vm.label,\n          \"aria-disabled\": _vm.isDisabled,\n          tabindex: _vm.tabIndex\n        },\n        on: {\n          keydown: function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"space\", 32, $event.key, [\" \", \"Spacebar\"])) {\n              return null;\n            }\n            $event.stopPropagation();\n            $event.preventDefault();\n            _vm.model = _vm.isDisabled ? _vm.model : _vm.label;\n          }\n        }\n      }, [_c(\"span\", {\n        staticClass: \"el-radio__input\",\n        class: {\n          \"is-disabled\": _vm.isDisabled,\n          \"is-checked\": _vm.model === _vm.label\n        }\n      }, [_c(\"span\", {\n        staticClass: \"el-radio__inner\"\n      }), _c(\"input\", {\n        directives: [{\n          name: \"model\",\n          rawName: \"v-model\",\n          value: _vm.model,\n          expression: \"model\"\n        }],\n        ref: \"radio\",\n        staticClass: \"el-radio__original\",\n        attrs: {\n          type: \"radio\",\n          \"aria-hidden\": \"true\",\n          name: _vm.name,\n          disabled: _vm.isDisabled,\n          tabindex: \"-1\",\n          autocomplete: \"off\"\n        },\n        domProps: {\n          value: _vm.label,\n          checked: _vm._q(_vm.model, _vm.label)\n        },\n        on: {\n          focus: function ($event) {\n            _vm.focus = true;\n          },\n          blur: function ($event) {\n            _vm.focus = false;\n          },\n          change: [function ($event) {\n            _vm.model = _vm.label;\n          }, _vm.handleChange]\n        }\n      })]), _c(\"span\", {\n        staticClass: \"el-radio__label\",\n        on: {\n          keydown: function ($event) {\n            $event.stopPropagation();\n          }\n        }\n      }, [_vm._t(\"default\"), !_vm.$slots.default ? [_vm._v(_vm._s(_vm.label))] : _vm._e()], 2)]);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/radio/src/radio.vue?vue&type=template&id=69cd6268&\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/emitter\"\n    var emitter_ = __nested_webpack_require_7358__(4);\n    var emitter_default = /*#__PURE__*/__nested_webpack_require_7358__.n(emitter_);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/radio/src/radio.vue?vue&type=script&lang=js&\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var radiovue_type_script_lang_js_ = {\n      name: 'ElRadio',\n      mixins: [emitter_default.a],\n      inject: {\n        elForm: {\n          default: ''\n        },\n        elFormItem: {\n          default: ''\n        }\n      },\n      componentName: 'ElRadio',\n      props: {\n        value: {},\n        label: {},\n        disabled: Boolean,\n        name: String,\n        border: Boolean,\n        size: String\n      },\n      data: function data() {\n        return {\n          focus: false\n        };\n      },\n      computed: {\n        isGroup: function isGroup() {\n          var parent = this.$parent;\n          while (parent) {\n            if (parent.$options.componentName !== 'ElRadioGroup') {\n              parent = parent.$parent;\n            } else {\n              this._radioGroup = parent;\n              return true;\n            }\n          }\n          return false;\n        },\n        model: {\n          get: function get() {\n            return this.isGroup ? this._radioGroup.value : this.value;\n          },\n          set: function set(val) {\n            if (this.isGroup) {\n              this.dispatch('ElRadioGroup', 'input', [val]);\n            } else {\n              this.$emit('input', val);\n            }\n            this.$refs.radio && (this.$refs.radio.checked = this.model === this.label);\n          }\n        },\n        _elFormItemSize: function _elFormItemSize() {\n          return (this.elFormItem || {}).elFormItemSize;\n        },\n        radioSize: function radioSize() {\n          var temRadioSize = this.size || this._elFormItemSize || (this.$ELEMENT || {}).size;\n          return this.isGroup ? this._radioGroup.radioGroupSize || temRadioSize : temRadioSize;\n        },\n        isDisabled: function isDisabled() {\n          return this.isGroup ? this._radioGroup.disabled || this.disabled || (this.elForm || {}).disabled : this.disabled || (this.elForm || {}).disabled;\n        },\n        tabIndex: function tabIndex() {\n          return this.isDisabled || this.isGroup && this.model !== this.label ? -1 : 0;\n        }\n      },\n      methods: {\n        handleChange: function handleChange() {\n          var _this = this;\n          this.$nextTick(function () {\n            _this.$emit('change', _this.model);\n            _this.isGroup && _this.dispatch('ElRadioGroup', 'handleChange', _this.model);\n          });\n        }\n      }\n    };\n    // CONCATENATED MODULE: ./packages/radio/src/radio.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_radiovue_type_script_lang_js_ = radiovue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_7358__(0);\n\n    // CONCATENATED MODULE: ./packages/radio/src/radio.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_radiovue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/radio/src/radio.vue\";\n    /* harmony default export */\n    var src_radio = component.exports;\n    // CONCATENATED MODULE: ./packages/radio/index.js\n\n    /* istanbul ignore next */\n    src_radio.install = function (Vue) {\n      Vue.component(src_radio.name, src_radio);\n    };\n\n    /* harmony default export */\n    var packages_radio = __webpack_exports__[\"default\"] = src_radio;\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/radio.js?");
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-/***/ }),
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-/***/ "./node_modules/element-ui/lib/scrollbar.js":
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-  \**************************************************/
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/******/function getDefault() {\n      return module['default'];\n    } : /******/function getModuleExports() {\n      return module;\n    };\n    /******/\n    __nested_webpack_require_198__.d(getter, 'a', getter);\n    /******/\n    return getter;\n    /******/\n  };\n  /******/\n  /******/ // Object.prototype.hasOwnProperty.call\n  /******/\n  __nested_webpack_require_198__.o = function (object, property) {\n    return Object.prototype.hasOwnProperty.call(object, property);\n  };\n  /******/\n  /******/ // __webpack_public_path__\n  /******/\n  __nested_webpack_require_198__.p = \"/dist/\";\n  /******/\n  /******/\n  /******/ // Load entry module and return exports\n  /******/\n  return __nested_webpack_require_198__(__nested_webpack_require_198__.s = 133);\n  /******/\n}\n/************************************************************************/\n/******/({\n  /***/133: /***/function (module, __webpack_exports__, __nested_webpack_require_4033__) {\n    \"use strict\";\n\n    __nested_webpack_require_4033__.r(__webpack_exports__);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/resize-event\"\n    var resize_event_ = __nested_webpack_require_4033__(16);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/scrollbar-width\"\n    var scrollbar_width_ = __nested_webpack_require_4033__(39);\n    var scrollbar_width_default = /*#__PURE__*/__nested_webpack_require_4033__.n(scrollbar_width_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/util\"\n    var util_ = __nested_webpack_require_4033__(3);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/dom\"\n    var dom_ = __nested_webpack_require_4033__(2);\n\n    // CONCATENATED MODULE: ./packages/scrollbar/src/util.js\n    var BAR_MAP = {\n      vertical: {\n        offset: 'offsetHeight',\n        scroll: 'scrollTop',\n        scrollSize: 'scrollHeight',\n        size: 'height',\n        key: 'vertical',\n        axis: 'Y',\n        client: 'clientY',\n        direction: 'top'\n      },\n      horizontal: {\n        offset: 'offsetWidth',\n        scroll: 'scrollLeft',\n        scrollSize: 'scrollWidth',\n        size: 'width',\n        key: 'horizontal',\n        axis: 'X',\n        client: 'clientX',\n        direction: 'left'\n      }\n    };\n    function renderThumbStyle(_ref) {\n      var move = _ref.move,\n        size = _ref.size,\n        bar = _ref.bar;\n      var style = {};\n      var translate = 'translate' + bar.axis + '(' + move + '%)';\n      style[bar.size] = size;\n      style.transform = translate;\n      style.msTransform = translate;\n      style.webkitTransform = translate;\n      return style;\n    }\n    ;\n    // CONCATENATED MODULE: ./packages/scrollbar/src/bar.js\n\n    /* istanbul ignore next */\n    /* harmony default export */\n    var src_bar = {\n      name: 'Bar',\n      props: {\n        vertical: Boolean,\n        size: String,\n        move: Number\n      },\n      computed: {\n        bar: function bar() {\n          return BAR_MAP[this.vertical ? 'vertical' : 'horizontal'];\n        },\n        wrap: function wrap() {\n          return this.$parent.wrap;\n        }\n      },\n      render: function render(h) {\n        var size = this.size,\n          move = this.move,\n          bar = this.bar;\n        return h('div', {\n          'class': ['el-scrollbar__bar', 'is-' + bar.key],\n          on: {\n            'mousedown': this.clickTrackHandler\n          }\n        }, [h('div', {\n          ref: 'thumb',\n          'class': 'el-scrollbar__thumb',\n          on: {\n            'mousedown': this.clickThumbHandler\n          },\n          style: renderThumbStyle({\n            size: size,\n            move: move,\n            bar: bar\n          })\n        })]);\n      },\n      methods: {\n        clickThumbHandler: function clickThumbHandler(e) {\n          // prevent click event of right button\n          if (e.ctrlKey || e.button === 2) {\n            return;\n          }\n          this.startDrag(e);\n          this[this.bar.axis] = e.currentTarget[this.bar.offset] - (e[this.bar.client] - e.currentTarget.getBoundingClientRect()[this.bar.direction]);\n        },\n        clickTrackHandler: function clickTrackHandler(e) {\n          var offset = Math.abs(e.target.getBoundingClientRect()[this.bar.direction] - e[this.bar.client]);\n          var thumbHalf = this.$refs.thumb[this.bar.offset] / 2;\n          var thumbPositionPercentage = (offset - thumbHalf) * 100 / this.$el[this.bar.offset];\n          this.wrap[this.bar.scroll] = thumbPositionPercentage * this.wrap[this.bar.scrollSize] / 100;\n        },\n        startDrag: function startDrag(e) {\n          e.stopImmediatePropagation();\n          this.cursorDown = true;\n          Object(dom_[\"on\"])(document, 'mousemove', this.mouseMoveDocumentHandler);\n          Object(dom_[\"on\"])(document, 'mouseup', this.mouseUpDocumentHandler);\n          document.onselectstart = function () {\n            return false;\n          };\n        },\n        mouseMoveDocumentHandler: function mouseMoveDocumentHandler(e) {\n          if (this.cursorDown === false) return;\n          var prevPage = this[this.bar.axis];\n          if (!prevPage) return;\n          var offset = (this.$el.getBoundingClientRect()[this.bar.direction] - e[this.bar.client]) * -1;\n          var thumbClickPosition = this.$refs.thumb[this.bar.offset] - prevPage;\n          var thumbPositionPercentage = (offset - thumbClickPosition) * 100 / this.$el[this.bar.offset];\n          this.wrap[this.bar.scroll] = thumbPositionPercentage * this.wrap[this.bar.scrollSize] / 100;\n        },\n        mouseUpDocumentHandler: function mouseUpDocumentHandler(e) {\n          this.cursorDown = false;\n          this[this.bar.axis] = 0;\n          Object(dom_[\"off\"])(document, 'mousemove', this.mouseMoveDocumentHandler);\n          document.onselectstart = null;\n        }\n      },\n      destroyed: function destroyed() {\n        Object(dom_[\"off\"])(document, 'mouseup', this.mouseUpDocumentHandler);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/scrollbar/src/main.js\n    // reference https://github.com/noeldelgado/gemini-scrollbar/blob/master/index.js\n\n    /* istanbul ignore next */\n    /* harmony default export */\n    var main = {\n      name: 'ElScrollbar',\n      components: {\n        Bar: src_bar\n      },\n      props: {\n        native: Boolean,\n        wrapStyle: {},\n        wrapClass: {},\n        viewClass: {},\n        viewStyle: {},\n        noresize: Boolean,\n        // 如果 container 尺寸不会发生变化，最好设置它可以优化性能\n        tag: {\n          type: String,\n          default: 'div'\n        }\n      },\n      data: function data() {\n        return {\n          sizeWidth: '0',\n          sizeHeight: '0',\n          moveX: 0,\n          moveY: 0\n        };\n      },\n      computed: {\n        wrap: function wrap() {\n          return this.$refs.wrap;\n        }\n      },\n      render: function render(h) {\n        var gutter = scrollbar_width_default()();\n        var style = this.wrapStyle;\n        if (gutter) {\n          var gutterWith = '-' + gutter + 'px';\n          var gutterStyle = 'margin-bottom: ' + gutterWith + '; margin-right: ' + gutterWith + ';';\n          if (Array.isArray(this.wrapStyle)) {\n            style = Object(util_[\"toObject\"])(this.wrapStyle);\n            style.marginRight = style.marginBottom = gutterWith;\n          } else if (typeof this.wrapStyle === 'string') {\n            style += gutterStyle;\n          } else {\n            style = gutterStyle;\n          }\n        }\n        var view = h(this.tag, {\n          class: ['el-scrollbar__view', this.viewClass],\n          style: this.viewStyle,\n          ref: 'resize'\n        }, this.$slots.default);\n        var wrap = h('div', {\n          ref: 'wrap',\n          style: style,\n          on: {\n            'scroll': this.handleScroll\n          },\n          'class': [this.wrapClass, 'el-scrollbar__wrap', gutter ? '' : 'el-scrollbar__wrap--hidden-default']\n        }, [[view]]);\n        var nodes = void 0;\n        if (!this.native) {\n          nodes = [wrap, h(src_bar, {\n            attrs: {\n              move: this.moveX,\n              size: this.sizeWidth\n            }\n          }), h(src_bar, {\n            attrs: {\n              vertical: true,\n              move: this.moveY,\n              size: this.sizeHeight\n            }\n          })];\n        } else {\n          nodes = [h('div', {\n            ref: 'wrap',\n            'class': [this.wrapClass, 'el-scrollbar__wrap'],\n            style: style\n          }, [[view]])];\n        }\n        return h('div', {\n          class: 'el-scrollbar'\n        }, nodes);\n      },\n      methods: {\n        handleScroll: function handleScroll() {\n          var wrap = this.wrap;\n          this.moveY = wrap.scrollTop * 100 / wrap.clientHeight;\n          this.moveX = wrap.scrollLeft * 100 / wrap.clientWidth;\n        },\n        update: function update() {\n          var heightPercentage = void 0,\n            widthPercentage = void 0;\n          var wrap = this.wrap;\n          if (!wrap) return;\n          heightPercentage = wrap.clientHeight * 100 / wrap.scrollHeight;\n          widthPercentage = wrap.clientWidth * 100 / wrap.scrollWidth;\n          this.sizeHeight = heightPercentage < 100 ? heightPercentage + '%' : '';\n          this.sizeWidth = widthPercentage < 100 ? widthPercentage + '%' : '';\n        }\n      },\n      mounted: function mounted() {\n        if (this.native) return;\n        this.$nextTick(this.update);\n        !this.noresize && Object(resize_event_[\"addResizeListener\"])(this.$refs.resize, this.update);\n      },\n      beforeDestroy: function beforeDestroy() {\n        if (this.native) return;\n        !this.noresize && Object(resize_event_[\"removeResizeListener\"])(this.$refs.resize, this.update);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/scrollbar/index.js\n\n    /* istanbul ignore next */\n    main.install = function (Vue) {\n      Vue.component(main.name, main);\n    };\n\n    /* harmony default export */\n    var scrollbar = __webpack_exports__[\"default\"] = main;\n\n    /***/\n  },\n\n  /***/16: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/resize-event */ \"./node_modules/element-ui/lib/utils/resize-event.js\");\n\n    /***/\n  },\n\n  /***/2: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/dom */ \"./node_modules/element-ui/lib/utils/dom.js\");\n\n    /***/\n  },\n\n  /***/3: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/util */ \"./node_modules/element-ui/lib/utils/util.js\");\n\n    /***/\n  },\n\n  /***/39: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/scrollbar-width */ \"./node_modules/element-ui/lib/utils/scrollbar-width.js\");\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/scrollbar.js?");
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? [].concat(existing, hook) : [hook];\n        }\n      }\n      return {\n        exports: scriptExports,\n        options: options\n      };\n    }\n\n    /***/\n  },\n\n  /***/10: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/input */ \"./node_modules/element-ui/lib/input.js\");\n\n    /***/\n  },\n\n  /***/12: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/clickoutside */ \"./node_modules/element-ui/lib/utils/clickoutside.js\");\n\n    /***/\n  },\n\n  /***/15: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/scrollbar */ \"./node_modules/element-ui/lib/scrollbar.js\");\n\n    /***/\n  },\n\n  /***/16: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/resize-event */ \"./node_modules/element-ui/lib/utils/resize-event.js\");\n\n    /***/\n  },\n\n  /***/19: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! throttle-debounce/debounce */ \"./node_modules/throttle-debounce/debounce.js\");\n\n    /***/\n  },\n\n  /***/21: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/shared */ \"./node_modules/element-ui/lib/utils/shared.js\");\n\n    /***/\n  },\n\n  /***/22: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/mixins/focus */ \"./node_modules/element-ui/lib/mixins/focus.js\");\n\n    /***/\n  },\n\n  /***/3: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/util */ \"./node_modules/element-ui/lib/utils/util.js\");\n\n    /***/\n  },\n\n  /***/31: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/scroll-into-view */ \"./node_modules/element-ui/lib/utils/scroll-into-view.js\");\n\n    /***/\n  },\n\n  /***/33: /***/function (module, __webpack_exports__, __nested_webpack_require_8394__) {\n    \"use strict\";\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/option.vue?vue&type=template&id=7a44c642&\n    var render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"li\", {\n        directives: [{\n          name: \"show\",\n          rawName: \"v-show\",\n          value: _vm.visible,\n          expression: \"visible\"\n        }],\n        staticClass: \"el-select-dropdown__item\",\n        class: {\n          selected: _vm.itemSelected,\n          \"is-disabled\": _vm.disabled || _vm.groupDisabled || _vm.limitReached,\n          hover: _vm.hover\n        },\n        on: {\n          mouseenter: _vm.hoverItem,\n          click: function ($event) {\n            $event.stopPropagation();\n            return _vm.selectOptionClick($event);\n          }\n        }\n      }, [_vm._t(\"default\", [_c(\"span\", [_vm._v(_vm._s(_vm.currentLabel))])])], 2);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/select/src/option.vue?vue&type=template&id=7a44c642&\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/emitter\"\n    var emitter_ = __nested_webpack_require_8394__(4);\n    var emitter_default = /*#__PURE__*/__nested_webpack_require_8394__.n(emitter_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/util\"\n    var util_ = __nested_webpack_require_8394__(3);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/option.vue?vue&type=script&lang=js&\n    var _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n      return typeof obj;\n    } : function (obj) {\n      return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n    };\n\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var optionvue_type_script_lang_js_ = {\n      mixins: [emitter_default.a],\n      name: 'ElOption',\n      componentName: 'ElOption',\n      inject: ['select'],\n      props: {\n        value: {\n          required: true\n        },\n        label: [String, Number],\n        created: Boolean,\n        disabled: {\n          type: Boolean,\n          default: false\n        }\n      },\n      data: function data() {\n        return {\n          index: -1,\n          groupDisabled: false,\n          visible: true,\n          hitState: false,\n          hover: false\n        };\n      },\n      computed: {\n        isObject: function isObject() {\n          return Object.prototype.toString.call(this.value).toLowerCase() === '[object object]';\n        },\n        currentLabel: function currentLabel() {\n          return this.label || (this.isObject ? '' : this.value);\n        },\n        currentValue: function currentValue() {\n          return this.value || this.label || '';\n        },\n        itemSelected: function itemSelected() {\n          if (!this.select.multiple) {\n            return this.isEqual(this.value, this.select.value);\n          } else {\n            return this.contains(this.select.value, this.value);\n          }\n        },\n        limitReached: function limitReached() {\n          if (this.select.multiple) {\n            return !this.itemSelected && (this.select.value || []).length >= this.select.multipleLimit && this.select.multipleLimit > 0;\n          } else {\n            return false;\n          }\n        }\n      },\n      watch: {\n        currentLabel: function currentLabel() {\n          if (!this.created && !this.select.remote) this.dispatch('ElSelect', 'setSelected');\n        },\n        value: function value(val, oldVal) {\n          var _select = this.select,\n            remote = _select.remote,\n            valueKey = _select.valueKey;\n          if (!this.created && !remote) {\n            if (valueKey && (typeof val === 'undefined' ? 'undefined' : _typeof(val)) === 'object' && (typeof oldVal === 'undefined' ? 'undefined' : _typeof(oldVal)) === 'object' && val[valueKey] === oldVal[valueKey]) {\n              return;\n            }\n            this.dispatch('ElSelect', 'setSelected');\n          }\n        }\n      },\n      methods: {\n        isEqual: function isEqual(a, b) {\n          if (!this.isObject) {\n            return a === b;\n          } else {\n            var valueKey = this.select.valueKey;\n            return Object(util_[\"getValueByPath\"])(a, valueKey) === Object(util_[\"getValueByPath\"])(b, valueKey);\n          }\n        },\n        contains: function contains() {\n          var arr = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : [];\n          var target = arguments[1];\n          if (!this.isObject) {\n            return arr && arr.indexOf(target) > -1;\n          } else {\n            var valueKey = this.select.valueKey;\n            return arr && arr.some(function (item) {\n              return Object(util_[\"getValueByPath\"])(item, valueKey) === Object(util_[\"getValueByPath\"])(target, valueKey);\n            });\n          }\n        },\n        handleGroupDisabled: function handleGroupDisabled(val) {\n          this.groupDisabled = val;\n        },\n        hoverItem: function hoverItem() {\n          if (!this.disabled && !this.groupDisabled) {\n            this.select.hoverIndex = this.select.options.indexOf(this);\n          }\n        },\n        selectOptionClick: function selectOptionClick() {\n          if (this.disabled !== true && this.groupDisabled !== true) {\n            this.dispatch('ElSelect', 'handleOptionClick', [this, true]);\n          }\n        },\n        queryChange: function queryChange(query) {\n          this.visible = new RegExp(Object(util_[\"escapeRegexpString\"])(query), 'i').test(this.currentLabel) || this.created;\n          if (!this.visible) {\n            this.select.filteredOptionsCount--;\n          }\n        }\n      },\n      created: function created() {\n        this.select.options.push(this);\n        this.select.cachedOptions.push(this);\n        this.select.optionsCount++;\n        this.select.filteredOptionsCount++;\n        this.$on('queryChange', this.queryChange);\n        this.$on('handleGroupDisabled', this.handleGroupDisabled);\n      },\n      beforeDestroy: function beforeDestroy() {\n        var _select2 = this.select,\n          selected = _select2.selected,\n          multiple = _select2.multiple;\n        var selectedOptions = multiple ? selected : [selected];\n        var index = this.select.cachedOptions.indexOf(this);\n        var selectedIndex = selectedOptions.indexOf(this);\n\n        // if option is not selected, remove it from cache\n        if (index > -1 && selectedIndex < 0) {\n          this.select.cachedOptions.splice(index, 1);\n        }\n        this.select.onOptionDestroy(this.select.options.indexOf(this));\n      }\n    };\n    // CONCATENATED MODULE: ./packages/select/src/option.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_optionvue_type_script_lang_js_ = optionvue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_8394__(0);\n\n    // CONCATENATED MODULE: ./packages/select/src/option.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_optionvue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/select/src/option.vue\";\n    /* harmony default export */\n    var src_option = __webpack_exports__[\"a\"] = component.exports;\n\n    /***/\n  },\n\n  /***/38: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/tag */ \"./node_modules/element-ui/lib/tag.js\");\n\n    /***/\n  },\n\n  /***/4: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/mixins/emitter */ \"./node_modules/element-ui/lib/mixins/emitter.js\");\n\n    /***/\n  },\n\n  /***/5: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/vue-popper */ \"./node_modules/element-ui/lib/utils/vue-popper.js\");\n\n    /***/\n  },\n\n  /***/6: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/mixins/locale */ \"./node_modules/element-ui/lib/mixins/locale.js\");\n\n    /***/\n  },\n\n  /***/62: /***/function (module, __webpack_exports__, __nested_webpack_require_16737__) {\n    \"use strict\";\n\n    __nested_webpack_require_16737__.r(__webpack_exports__);\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/select.vue?vue&type=template&id=0e4aade6&\n    var render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"div\", {\n        directives: [{\n          name: \"clickoutside\",\n          rawName: \"v-clickoutside\",\n          value: _vm.handleClose,\n          expression: \"handleClose\"\n        }],\n        staticClass: \"el-select\",\n        class: [_vm.selectSize ? \"el-select--\" + _vm.selectSize : \"\"],\n        on: {\n          click: function ($event) {\n            $event.stopPropagation();\n            return _vm.toggleMenu($event);\n          }\n        }\n      }, [_vm.multiple ? _c(\"div\", {\n        ref: \"tags\",\n        staticClass: \"el-select__tags\",\n        style: {\n          \"max-width\": _vm.inputWidth - 32 + \"px\",\n          width: \"100%\"\n        }\n      }, [_vm.collapseTags && _vm.selected.length ? _c(\"span\", [_c(\"el-tag\", {\n        attrs: {\n          closable: !_vm.selectDisabled,\n          size: _vm.collapseTagSize,\n          hit: _vm.selected[0].hitState,\n          type: \"info\",\n          \"disable-transitions\": \"\"\n        },\n        on: {\n          close: function ($event) {\n            _vm.deleteTag($event, _vm.selected[0]);\n          }\n        }\n      }, [_c(\"span\", {\n        staticClass: \"el-select__tags-text\"\n      }, [_vm._v(_vm._s(_vm.selected[0].currentLabel))])]), _vm.selected.length > 1 ? _c(\"el-tag\", {\n        attrs: {\n          closable: false,\n          size: _vm.collapseTagSize,\n          type: \"info\",\n          \"disable-transitions\": \"\"\n        }\n      }, [_c(\"span\", {\n        staticClass: \"el-select__tags-text\"\n      }, [_vm._v(\"+ \" + _vm._s(_vm.selected.length - 1))])]) : _vm._e()], 1) : _vm._e(), !_vm.collapseTags ? _c(\"transition-group\", {\n        on: {\n          \"after-leave\": _vm.resetInputHeight\n        }\n      }, _vm._l(_vm.selected, function (item) {\n        return _c(\"el-tag\", {\n          key: _vm.getValueKey(item),\n          attrs: {\n            closable: !_vm.selectDisabled,\n            size: _vm.collapseTagSize,\n            hit: item.hitState,\n            type: \"info\",\n            \"disable-transitions\": \"\"\n          },\n          on: {\n            close: function ($event) {\n              _vm.deleteTag($event, item);\n            }\n          }\n        }, [_c(\"span\", {\n          staticClass: \"el-select__tags-text\"\n        }, [_vm._v(_vm._s(item.currentLabel))])]);\n      }), 1) : _vm._e(), _vm.filterable ? _c(\"input\", {\n        directives: [{\n          name: \"model\",\n          rawName: \"v-model\",\n          value: _vm.query,\n          expression: \"query\"\n        }],\n        ref: \"input\",\n        staticClass: \"el-select__input\",\n        class: [_vm.selectSize ? \"is-\" + _vm.selectSize : \"\"],\n        style: {\n          \"flex-grow\": \"1\",\n          width: _vm.inputLength / (_vm.inputWidth - 32) + \"%\",\n          \"max-width\": _vm.inputWidth - 42 + \"px\"\n        },\n        attrs: {\n          type: \"text\",\n          disabled: _vm.selectDisabled,\n          autocomplete: _vm.autoComplete || _vm.autocomplete\n        },\n        domProps: {\n          value: _vm.query\n        },\n        on: {\n          focus: _vm.handleFocus,\n          blur: function ($event) {\n            _vm.softFocus = false;\n          },\n          keyup: _vm.managePlaceholder,\n          keydown: [_vm.resetInputState, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"down\", 40, $event.key, [\"Down\", \"ArrowDown\"])) {\n              return null;\n            }\n            $event.preventDefault();\n            _vm.handleNavigate(\"next\");\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"up\", 38, $event.key, [\"Up\", \"ArrowUp\"])) {\n              return null;\n            }\n            $event.preventDefault();\n            _vm.handleNavigate(\"prev\");\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"enter\", 13, $event.key, \"Enter\")) {\n              return null;\n            }\n            $event.preventDefault();\n            return _vm.selectOption($event);\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"esc\", 27, $event.key, [\"Esc\", \"Escape\"])) {\n              return null;\n            }\n            $event.stopPropagation();\n            $event.preventDefault();\n            _vm.visible = false;\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"delete\", [8, 46], $event.key, [\"Backspace\", \"Delete\", \"Del\"])) {\n              return null;\n            }\n            return _vm.deletePrevTag($event);\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"tab\", 9, $event.key, \"Tab\")) {\n              return null;\n            }\n            _vm.visible = false;\n          }],\n          compositionstart: _vm.handleComposition,\n          compositionupdate: _vm.handleComposition,\n          compositionend: _vm.handleComposition,\n          input: [function ($event) {\n            if ($event.target.composing) {\n              return;\n            }\n            _vm.query = $event.target.value;\n          }, _vm.debouncedQueryChange]\n        }\n      }) : _vm._e()], 1) : _vm._e(), _c(\"el-input\", {\n        ref: \"reference\",\n        class: {\n          \"is-focus\": _vm.visible\n        },\n        attrs: {\n          type: \"text\",\n          placeholder: _vm.currentPlaceholder,\n          name: _vm.name,\n          id: _vm.id,\n          autocomplete: _vm.autoComplete || _vm.autocomplete,\n          size: _vm.selectSize,\n          disabled: _vm.selectDisabled,\n          readonly: _vm.readonly,\n          \"validate-event\": false,\n          tabindex: _vm.multiple && _vm.filterable ? \"-1\" : null\n        },\n        on: {\n          focus: _vm.handleFocus,\n          blur: _vm.handleBlur,\n          input: _vm.debouncedOnInputChange,\n          compositionstart: _vm.handleComposition,\n          compositionupdate: _vm.handleComposition,\n          compositionend: _vm.handleComposition\n        },\n        nativeOn: {\n          keydown: [function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"down\", 40, $event.key, [\"Down\", \"ArrowDown\"])) {\n              return null;\n            }\n            $event.stopPropagation();\n            $event.preventDefault();\n            _vm.handleNavigate(\"next\");\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"up\", 38, $event.key, [\"Up\", \"ArrowUp\"])) {\n              return null;\n            }\n            $event.stopPropagation();\n            $event.preventDefault();\n            _vm.handleNavigate(\"prev\");\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"enter\", 13, $event.key, \"Enter\")) {\n              return null;\n            }\n            $event.preventDefault();\n            return _vm.selectOption($event);\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"esc\", 27, $event.key, [\"Esc\", \"Escape\"])) {\n              return null;\n            }\n            $event.stopPropagation();\n            $event.preventDefault();\n            _vm.visible = false;\n          }, function ($event) {\n            if (!(\"button\" in $event) && _vm._k($event.keyCode, \"tab\", 9, $event.key, \"Tab\")) {\n              return null;\n            }\n            _vm.visible = false;\n          }],\n          mouseenter: function ($event) {\n            _vm.inputHovering = true;\n          },\n          mouseleave: function ($event) {\n            _vm.inputHovering = false;\n          }\n        },\n        model: {\n          value: _vm.selectedLabel,\n          callback: function ($$v) {\n            _vm.selectedLabel = $$v;\n          },\n          expression: \"selectedLabel\"\n        }\n      }, [_vm.$slots.prefix ? _c(\"template\", {\n        slot: \"prefix\"\n      }, [_vm._t(\"prefix\")], 2) : _vm._e(), _c(\"template\", {\n        slot: \"suffix\"\n      }, [_c(\"i\", {\n        directives: [{\n          name: \"show\",\n          rawName: \"v-show\",\n          value: !_vm.showClose,\n          expression: \"!showClose\"\n        }],\n        class: [\"el-select__caret\", \"el-input__icon\", \"el-icon-\" + _vm.iconClass]\n      }), _vm.showClose ? _c(\"i\", {\n        staticClass: \"el-select__caret el-input__icon el-icon-circle-close\",\n        on: {\n          click: _vm.handleClearClick\n        }\n      }) : _vm._e()])], 2), _c(\"transition\", {\n        attrs: {\n          name: \"el-zoom-in-top\"\n        },\n        on: {\n          \"before-enter\": _vm.handleMenuEnter,\n          \"after-leave\": _vm.doDestroy\n        }\n      }, [_c(\"el-select-menu\", {\n        directives: [{\n          name: \"show\",\n          rawName: \"v-show\",\n          value: _vm.visible && _vm.emptyText !== false,\n          expression: \"visible && emptyText !== false\"\n        }],\n        ref: \"popper\",\n        attrs: {\n          \"append-to-body\": _vm.popperAppendToBody\n        }\n      }, [_c(\"el-scrollbar\", {\n        directives: [{\n          name: \"show\",\n          rawName: \"v-show\",\n          value: _vm.options.length > 0 && !_vm.loading,\n          expression: \"options.length > 0 && !loading\"\n        }],\n        ref: \"scrollbar\",\n        class: {\n          \"is-empty\": !_vm.allowCreate && _vm.query && _vm.filteredOptionsCount === 0\n        },\n        attrs: {\n          tag: \"ul\",\n          \"wrap-class\": \"el-select-dropdown__wrap\",\n          \"view-class\": \"el-select-dropdown__list\"\n        }\n      }, [_vm.showNewOption ? _c(\"el-option\", {\n        attrs: {\n          value: _vm.query,\n          created: \"\"\n        }\n      }) : _vm._e(), _vm._t(\"default\")], 2), _vm.emptyText && (!_vm.allowCreate || _vm.loading || _vm.allowCreate && _vm.options.length === 0) ? [_vm.$slots.empty ? _vm._t(\"empty\") : _c(\"p\", {\n        staticClass: \"el-select-dropdown__empty\"\n      }, [_vm._v(\"\\n          \" + _vm._s(_vm.emptyText) + \"\\n        \")])] : _vm._e()], 2)], 1)], 1);\n    };\n    var staticRenderFns = [];\n    render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/select/src/select.vue?vue&type=template&id=0e4aade6&\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/emitter\"\n    var emitter_ = __nested_webpack_require_16737__(4);\n    var emitter_default = /*#__PURE__*/__nested_webpack_require_16737__.n(emitter_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/focus\"\n    var focus_ = __nested_webpack_require_16737__(22);\n    var focus_default = /*#__PURE__*/__nested_webpack_require_16737__.n(focus_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/mixins/locale\"\n    var locale_ = __nested_webpack_require_16737__(6);\n    var locale_default = /*#__PURE__*/__nested_webpack_require_16737__.n(locale_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/input\"\n    var input_ = __nested_webpack_require_16737__(10);\n    var input_default = /*#__PURE__*/__nested_webpack_require_16737__.n(input_);\n\n    // CONCATENATED MODULE: ./node_modules/vue-loader/lib/loaders/templateLoader.js??vue-loader-options!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/select-dropdown.vue?vue&type=template&id=06828748&\n    var select_dropdownvue_type_template_id_06828748_render = function () {\n      var _vm = this;\n      var _h = _vm.$createElement;\n      var _c = _vm._self._c || _h;\n      return _c(\"div\", {\n        staticClass: \"el-select-dropdown el-popper\",\n        class: [{\n          \"is-multiple\": _vm.$parent.multiple\n        }, _vm.popperClass],\n        style: {\n          minWidth: _vm.minWidth\n        }\n      }, [_vm._t(\"default\")], 2);\n    };\n    var select_dropdownvue_type_template_id_06828748_staticRenderFns = [];\n    select_dropdownvue_type_template_id_06828748_render._withStripped = true;\n\n    // CONCATENATED MODULE: ./packages/select/src/select-dropdown.vue?vue&type=template&id=06828748&\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/vue-popper\"\n    var vue_popper_ = __nested_webpack_require_16737__(5);\n    var vue_popper_default = /*#__PURE__*/__nested_webpack_require_16737__.n(vue_popper_);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/select-dropdown.vue?vue&type=script&lang=js&\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var select_dropdownvue_type_script_lang_js_ = {\n      name: 'ElSelectDropdown',\n      componentName: 'ElSelectDropdown',\n      mixins: [vue_popper_default.a],\n      props: {\n        placement: {\n          default: 'bottom-start'\n        },\n        boundariesPadding: {\n          default: 0\n        },\n        popperOptions: {\n          default: function _default() {\n            return {\n              gpuAcceleration: false\n            };\n          }\n        },\n        visibleArrow: {\n          default: true\n        },\n        appendToBody: {\n          type: Boolean,\n          default: true\n        }\n      },\n      data: function data() {\n        return {\n          minWidth: ''\n        };\n      },\n      computed: {\n        popperClass: function popperClass() {\n          return this.$parent.popperClass;\n        }\n      },\n      watch: {\n        '$parent.inputWidth': function $parentInputWidth() {\n          this.minWidth = this.$parent.$el.getBoundingClientRect().width + 'px';\n        }\n      },\n      mounted: function mounted() {\n        var _this = this;\n        this.referenceElm = this.$parent.$refs.reference.$el;\n        this.$parent.popperElm = this.popperElm = this.$el;\n        this.$on('updatePopper', function () {\n          if (_this.$parent.visible) _this.updatePopper();\n        });\n        this.$on('destroyPopper', this.destroyPopper);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/select/src/select-dropdown.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_select_dropdownvue_type_script_lang_js_ = select_dropdownvue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_16737__(0);\n\n    // CONCATENATED MODULE: ./packages/select/src/select-dropdown.vue\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_select_dropdownvue_type_script_lang_js_, select_dropdownvue_type_template_id_06828748_render, select_dropdownvue_type_template_id_06828748_staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/select/src/select-dropdown.vue\";\n    /* harmony default export */\n    var select_dropdown = component.exports;\n    // EXTERNAL MODULE: ./packages/select/src/option.vue + 4 modules\n    var src_option = __nested_webpack_require_16737__(33);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/tag\"\n    var tag_ = __nested_webpack_require_16737__(38);\n    var tag_default = /*#__PURE__*/__nested_webpack_require_16737__.n(tag_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/scrollbar\"\n    var scrollbar_ = __nested_webpack_require_16737__(15);\n    var scrollbar_default = /*#__PURE__*/__nested_webpack_require_16737__.n(scrollbar_);\n\n    // EXTERNAL MODULE: external \"throttle-debounce/debounce\"\n    var debounce_ = __nested_webpack_require_16737__(19);\n    var debounce_default = /*#__PURE__*/__nested_webpack_require_16737__.n(debounce_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/clickoutside\"\n    var clickoutside_ = __nested_webpack_require_16737__(12);\n    var clickoutside_default = /*#__PURE__*/__nested_webpack_require_16737__.n(clickoutside_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/resize-event\"\n    var resize_event_ = __nested_webpack_require_16737__(16);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/scroll-into-view\"\n    var scroll_into_view_ = __nested_webpack_require_16737__(31);\n    var scroll_into_view_default = /*#__PURE__*/__nested_webpack_require_16737__.n(scroll_into_view_);\n\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/util\"\n    var util_ = __nested_webpack_require_16737__(3);\n\n    // CONCATENATED MODULE: ./packages/select/src/navigation-mixin.js\n    /* harmony default export */\n    var navigation_mixin = {\n      data: function data() {\n        return {\n          hoverOption: -1\n        };\n      },\n      computed: {\n        optionsAllDisabled: function optionsAllDisabled() {\n          return this.options.filter(function (option) {\n            return option.visible;\n          }).every(function (option) {\n            return option.disabled;\n          });\n        }\n      },\n      watch: {\n        hoverIndex: function hoverIndex(val) {\n          var _this = this;\n          if (typeof val === 'number' && val > -1) {\n            this.hoverOption = this.options[val] || {};\n          }\n          this.options.forEach(function (option) {\n            option.hover = _this.hoverOption === option;\n          });\n        }\n      },\n      methods: {\n        navigateOptions: function navigateOptions(direction) {\n          var _this2 = this;\n          if (!this.visible) {\n            this.visible = true;\n            return;\n          }\n          if (this.options.length === 0 || this.filteredOptionsCount === 0) return;\n          if (!this.optionsAllDisabled) {\n            if (direction === 'next') {\n              this.hoverIndex++;\n              if (this.hoverIndex === this.options.length) {\n                this.hoverIndex = 0;\n              }\n            } else if (direction === 'prev') {\n              this.hoverIndex--;\n              if (this.hoverIndex < 0) {\n                this.hoverIndex = this.options.length - 1;\n              }\n            }\n            var option = this.options[this.hoverIndex];\n            if (option.disabled === true || option.groupDisabled === true || !option.visible) {\n              this.navigateOptions(direction);\n            }\n            this.$nextTick(function () {\n              return _this2.scrollToOption(_this2.hoverOption);\n            });\n          }\n        }\n      }\n    };\n    // EXTERNAL MODULE: external \"element-ui/lib/utils/shared\"\n    var shared_ = __nested_webpack_require_16737__(21);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/select/src/select.vue?vue&type=script&lang=js&\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n    //\n\n    /* harmony default export */\n    var selectvue_type_script_lang_js_ = {\n      mixins: [emitter_default.a, locale_default.a, focus_default()('reference'), navigation_mixin],\n      name: 'ElSelect',\n      componentName: 'ElSelect',\n      inject: {\n        elForm: {\n          default: ''\n        },\n        elFormItem: {\n          default: ''\n        }\n      },\n      provide: function provide() {\n        return {\n          'select': this\n        };\n      },\n      computed: {\n        _elFormItemSize: function _elFormItemSize() {\n          return (this.elFormItem || {}).elFormItemSize;\n        },\n        readonly: function readonly() {\n          return !this.filterable || this.multiple || !Object(util_[\"isIE\"])() && !Object(util_[\"isEdge\"])() && !this.visible;\n        },\n        showClose: function showClose() {\n          var hasValue = this.multiple ? Array.isArray(this.value) && this.value.length > 0 : this.value !== undefined && this.value !== null && this.value !== '';\n          var criteria = this.clearable && !this.selectDisabled && this.inputHovering && hasValue;\n          return criteria;\n        },\n        iconClass: function iconClass() {\n          return this.remote && this.filterable ? '' : this.visible ? 'arrow-up is-reverse' : 'arrow-up';\n        },\n        debounce: function debounce() {\n          return this.remote ? 300 : 0;\n        },\n        emptyText: function emptyText() {\n          if (this.loading) {\n            return this.loadingText || this.t('el.select.loading');\n          } else {\n            if (this.remote && this.query === '' && this.options.length === 0) return false;\n            if (this.filterable && this.query && this.options.length > 0 && this.filteredOptionsCount === 0) {\n              return this.noMatchText || this.t('el.select.noMatch');\n            }\n            if (this.options.length === 0) {\n              return this.noDataText || this.t('el.select.noData');\n            }\n          }\n          return null;\n        },\n        showNewOption: function showNewOption() {\n          var _this = this;\n          var hasExistingOption = this.options.filter(function (option) {\n            return !option.created;\n          }).some(function (option) {\n            return option.currentLabel === _this.query;\n          });\n          return this.filterable && this.allowCreate && this.query !== '' && !hasExistingOption;\n        },\n        selectSize: function selectSize() {\n          return this.size || this._elFormItemSize || (this.$ELEMENT || {}).size;\n        },\n        selectDisabled: function selectDisabled() {\n          return this.disabled || (this.elForm || {}).disabled;\n        },\n        collapseTagSize: function collapseTagSize() {\n          return ['small', 'mini'].indexOf(this.selectSize) > -1 ? 'mini' : 'small';\n        },\n        propPlaceholder: function propPlaceholder() {\n          return typeof this.placeholder !== 'undefined' ? this.placeholder : this.t('el.select.placeholder');\n        }\n      },\n      components: {\n        ElInput: input_default.a,\n        ElSelectMenu: select_dropdown,\n        ElOption: src_option[\"a\" /* default */],\n        ElTag: tag_default.a,\n        ElScrollbar: scrollbar_default.a\n      },\n      directives: {\n        Clickoutside: clickoutside_default.a\n      },\n      props: {\n        name: String,\n        id: String,\n        value: {\n          required: true\n        },\n        autocomplete: {\n          type: String,\n          default: 'off'\n        },\n        /** @Deprecated in next major version */\n        autoComplete: {\n          type: String,\n          validator: function validator(val) {\n             false && 0;\n            return true;\n          }\n        },\n        automaticDropdown: Boolean,\n        size: String,\n        disabled: Boolean,\n        clearable: Boolean,\n        filterable: Boolean,\n        allowCreate: Boolean,\n        loading: Boolean,\n        popperClass: String,\n        remote: Boolean,\n        loadingText: String,\n        noMatchText: String,\n        noDataText: String,\n        remoteMethod: Function,\n        filterMethod: Function,\n        multiple: Boolean,\n        multipleLimit: {\n          type: Number,\n          default: 0\n        },\n        placeholder: {\n          type: String,\n          required: false\n        },\n        defaultFirstOption: Boolean,\n        reserveKeyword: Boolean,\n        valueKey: {\n          type: String,\n          default: 'value'\n        },\n        collapseTags: Boolean,\n        popperAppendToBody: {\n          type: Boolean,\n          default: true\n        }\n      },\n      data: function data() {\n        return {\n          options: [],\n          cachedOptions: [],\n          createdLabel: null,\n          createdSelected: false,\n          selected: this.multiple ? [] : {},\n          inputLength: 20,\n          inputWidth: 0,\n          initialInputHeight: 0,\n          cachedPlaceHolder: '',\n          optionsCount: 0,\n          filteredOptionsCount: 0,\n          visible: false,\n          softFocus: false,\n          selectedLabel: '',\n          hoverIndex: -1,\n          query: '',\n          previousQuery: null,\n          inputHovering: false,\n          currentPlaceholder: '',\n          menuVisibleOnFocus: false,\n          isOnComposition: false,\n          isSilentBlur: false\n        };\n      },\n      watch: {\n        selectDisabled: function selectDisabled() {\n          var _this2 = this;\n          this.$nextTick(function () {\n            _this2.resetInputHeight();\n          });\n        },\n        propPlaceholder: function propPlaceholder(val) {\n          this.cachedPlaceHolder = this.currentPlaceholder = val;\n        },\n        value: function value(val, oldVal) {\n          if (this.multiple) {\n            this.resetInputHeight();\n            if (val && val.length > 0 || this.$refs.input && this.query !== '') {\n              this.currentPlaceholder = '';\n            } else {\n              this.currentPlaceholder = this.cachedPlaceHolder;\n            }\n            if (this.filterable && !this.reserveKeyword) {\n              this.query = '';\n              this.handleQueryChange(this.query);\n            }\n          }\n          this.setSelected();\n          if (this.filterable && !this.multiple) {\n            this.inputLength = 20;\n          }\n          if (!Object(util_[\"valueEquals\"])(val, oldVal)) {\n            this.dispatch('ElFormItem', 'el.form.change', val);\n          }\n        },\n        visible: function visible(val) {\n          var _this3 = this;\n          if (!val) {\n            this.broadcast('ElSelectDropdown', 'destroyPopper');\n            if (this.$refs.input) {\n              this.$refs.input.blur();\n            }\n            this.query = '';\n            this.previousQuery = null;\n            this.selectedLabel = '';\n            this.inputLength = 20;\n            this.menuVisibleOnFocus = false;\n            this.resetHoverIndex();\n            this.$nextTick(function () {\n              if (_this3.$refs.input && _this3.$refs.input.value === '' && _this3.selected.length === 0) {\n                _this3.currentPlaceholder = _this3.cachedPlaceHolder;\n              }\n            });\n            if (!this.multiple) {\n              if (this.selected) {\n                if (this.filterable && this.allowCreate && this.createdSelected && this.createdLabel) {\n                  this.selectedLabel = this.createdLabel;\n                } else {\n                  this.selectedLabel = this.selected.currentLabel;\n                }\n                if (this.filterable) this.query = this.selectedLabel;\n              }\n              if (this.filterable) {\n                this.currentPlaceholder = this.cachedPlaceHolder;\n              }\n            }\n          } else {\n            this.broadcast('ElSelectDropdown', 'updatePopper');\n            if (this.filterable) {\n              this.query = this.remote ? '' : this.selectedLabel;\n              this.handleQueryChange(this.query);\n              if (this.multiple) {\n                this.$refs.input.focus();\n              } else {\n                if (!this.remote) {\n                  this.broadcast('ElOption', 'queryChange', '');\n                  this.broadcast('ElOptionGroup', 'queryChange');\n                }\n                if (this.selectedLabel) {\n                  this.currentPlaceholder = this.selectedLabel;\n                  this.selectedLabel = '';\n                }\n              }\n            }\n          }\n          this.$emit('visible-change', val);\n        },\n        options: function options() {\n          var _this4 = this;\n          if (this.$isServer) return;\n          this.$nextTick(function () {\n            _this4.broadcast('ElSelectDropdown', 'updatePopper');\n          });\n          if (this.multiple) {\n            this.resetInputHeight();\n          }\n          var inputs = this.$el.querySelectorAll('input');\n          if ([].indexOf.call(inputs, document.activeElement) === -1) {\n            this.setSelected();\n          }\n          if (this.defaultFirstOption && (this.filterable || this.remote) && this.filteredOptionsCount) {\n            this.checkDefaultFirstOption();\n          }\n        }\n      },\n      methods: {\n        handleNavigate: function handleNavigate(direction) {\n          if (this.isOnComposition) return;\n          this.navigateOptions(direction);\n        },\n        handleComposition: function handleComposition(event) {\n          var _this5 = this;\n          var text = event.target.value;\n          if (event.type === 'compositionend') {\n            this.isOnComposition = false;\n            this.$nextTick(function (_) {\n              return _this5.handleQueryChange(text);\n            });\n          } else {\n            var lastCharacter = text[text.length - 1] || '';\n            this.isOnComposition = !Object(shared_[\"isKorean\"])(lastCharacter);\n          }\n        },\n        handleQueryChange: function handleQueryChange(val) {\n          var _this6 = this;\n          if (this.previousQuery === val || this.isOnComposition) return;\n          if (this.previousQuery === null && (typeof this.filterMethod === 'function' || typeof this.remoteMethod === 'function')) {\n            this.previousQuery = val;\n            return;\n          }\n          this.previousQuery = val;\n          this.$nextTick(function () {\n            if (_this6.visible) _this6.broadcast('ElSelectDropdown', 'updatePopper');\n          });\n          this.hoverIndex = -1;\n          if (this.multiple && this.filterable) {\n            this.$nextTick(function () {\n              var length = _this6.$refs.input.value.length * 15 + 20;\n              _this6.inputLength = _this6.collapseTags ? Math.min(50, length) : length;\n              _this6.managePlaceholder();\n              _this6.resetInputHeight();\n            });\n          }\n          if (this.remote && typeof this.remoteMethod === 'function') {\n            this.hoverIndex = -1;\n            this.remoteMethod(val);\n          } else if (typeof this.filterMethod === 'function') {\n            this.filterMethod(val);\n            this.broadcast('ElOptionGroup', 'queryChange');\n          } else {\n            this.filteredOptionsCount = this.optionsCount;\n            this.broadcast('ElOption', 'queryChange', val);\n            this.broadcast('ElOptionGroup', 'queryChange');\n          }\n          if (this.defaultFirstOption && (this.filterable || this.remote) && this.filteredOptionsCount) {\n            this.checkDefaultFirstOption();\n          }\n        },\n        scrollToOption: function scrollToOption(option) {\n          var target = Array.isArray(option) && option[0] ? option[0].$el : option.$el;\n          if (this.$refs.popper && target) {\n            var menu = this.$refs.popper.$el.querySelector('.el-select-dropdown__wrap');\n            scroll_into_view_default()(menu, target);\n          }\n          this.$refs.scrollbar && this.$refs.scrollbar.handleScroll();\n        },\n        handleMenuEnter: function handleMenuEnter() {\n          var _this7 = this;\n          this.$nextTick(function () {\n            return _this7.scrollToOption(_this7.selected);\n          });\n        },\n        emitChange: function emitChange(val) {\n          if (!Object(util_[\"valueEquals\"])(this.value, val)) {\n            this.$emit('change', val);\n          }\n        },\n        getOption: function getOption(value) {\n          var option = void 0;\n          var isObject = Object.prototype.toString.call(value).toLowerCase() === '[object object]';\n          var isNull = Object.prototype.toString.call(value).toLowerCase() === '[object null]';\n          var isUndefined = Object.prototype.toString.call(value).toLowerCase() === '[object undefined]';\n          for (var i = this.cachedOptions.length - 1; i >= 0; i--) {\n            var cachedOption = this.cachedOptions[i];\n            var isEqual = isObject ? Object(util_[\"getValueByPath\"])(cachedOption.value, this.valueKey) === Object(util_[\"getValueByPath\"])(value, this.valueKey) : cachedOption.value === value;\n            if (isEqual) {\n              option = cachedOption;\n              break;\n            }\n          }\n          if (option) return option;\n          var label = !isObject && !isNull && !isUndefined ? String(value) : '';\n          var newOption = {\n            value: value,\n            currentLabel: label\n          };\n          if (this.multiple) {\n            newOption.hitState = false;\n          }\n          return newOption;\n        },\n        setSelected: function setSelected() {\n          var _this8 = this;\n          if (!this.multiple) {\n            var option = this.getOption(this.value);\n            if (option.created) {\n              this.createdLabel = option.currentLabel;\n              this.createdSelected = true;\n            } else {\n              this.createdSelected = false;\n            }\n            this.selectedLabel = option.currentLabel;\n            this.selected = option;\n            if (this.filterable) this.query = this.selectedLabel;\n            return;\n          }\n          var result = [];\n          if (Array.isArray(this.value)) {\n            this.value.forEach(function (value) {\n              result.push(_this8.getOption(value));\n            });\n          }\n          this.selected = result;\n          this.$nextTick(function () {\n            _this8.resetInputHeight();\n          });\n        },\n        handleFocus: function handleFocus(event) {\n          if (!this.softFocus) {\n            if (this.automaticDropdown || this.filterable) {\n              if (this.filterable && !this.visible) {\n                this.menuVisibleOnFocus = true;\n              }\n              this.visible = true;\n            }\n            this.$emit('focus', event);\n          } else {\n            this.softFocus = false;\n          }\n        },\n        blur: function blur() {\n          this.visible = false;\n          this.$refs.reference.blur();\n        },\n        handleBlur: function handleBlur(event) {\n          var _this9 = this;\n          setTimeout(function () {\n            if (_this9.isSilentBlur) {\n              _this9.isSilentBlur = false;\n            } else {\n              _this9.$emit('blur', event);\n            }\n          }, 50);\n          this.softFocus = false;\n        },\n        handleClearClick: function handleClearClick(event) {\n          this.deleteSelected(event);\n        },\n        doDestroy: function doDestroy() {\n          this.$refs.popper && this.$refs.popper.doDestroy();\n        },\n        handleClose: function handleClose() {\n          this.visible = false;\n        },\n        toggleLastOptionHitState: function toggleLastOptionHitState(hit) {\n          if (!Array.isArray(this.selected)) return;\n          var option = this.selected[this.selected.length - 1];\n          if (!option) return;\n          if (hit === true || hit === false) {\n            option.hitState = hit;\n            return hit;\n          }\n          option.hitState = !option.hitState;\n          return option.hitState;\n        },\n        deletePrevTag: function deletePrevTag(e) {\n          if (e.target.value.length <= 0 && !this.toggleLastOptionHitState()) {\n            var value = this.value.slice();\n            value.pop();\n            this.$emit('input', value);\n            this.emitChange(value);\n          }\n        },\n        managePlaceholder: function managePlaceholder() {\n          if (this.currentPlaceholder !== '') {\n            this.currentPlaceholder = this.$refs.input.value ? '' : this.cachedPlaceHolder;\n          }\n        },\n        resetInputState: function resetInputState(e) {\n          if (e.keyCode !== 8) this.toggleLastOptionHitState(false);\n          this.inputLength = this.$refs.input.value.length * 15 + 20;\n          this.resetInputHeight();\n        },\n        resetInputHeight: function resetInputHeight() {\n          var _this10 = this;\n          if (this.collapseTags && !this.filterable) return;\n          this.$nextTick(function () {\n            if (!_this10.$refs.reference) return;\n            var inputChildNodes = _this10.$refs.reference.$el.childNodes;\n            var input = [].filter.call(inputChildNodes, function (item) {\n              return item.tagName === 'INPUT';\n            })[0];\n            var tags = _this10.$refs.tags;\n            var tagsHeight = tags ? Math.round(tags.getBoundingClientRect().height) : 0;\n            var sizeInMap = _this10.initialInputHeight || 40;\n            input.style.height = _this10.selected.length === 0 ? sizeInMap + 'px' : Math.max(tags ? tagsHeight + (tagsHeight > sizeInMap ? 6 : 0) : 0, sizeInMap) + 'px';\n            if (_this10.visible && _this10.emptyText !== false) {\n              _this10.broadcast('ElSelectDropdown', 'updatePopper');\n            }\n          });\n        },\n        resetHoverIndex: function resetHoverIndex() {\n          var _this11 = this;\n          setTimeout(function () {\n            if (!_this11.multiple) {\n              _this11.hoverIndex = _this11.options.indexOf(_this11.selected);\n            } else {\n              if (_this11.selected.length > 0) {\n                _this11.hoverIndex = Math.min.apply(null, _this11.selected.map(function (item) {\n                  return _this11.options.indexOf(item);\n                }));\n              } else {\n                _this11.hoverIndex = -1;\n              }\n            }\n          }, 300);\n        },\n        handleOptionSelect: function handleOptionSelect(option, byClick) {\n          var _this12 = this;\n          if (this.multiple) {\n            var value = (this.value || []).slice();\n            var optionIndex = this.getValueIndex(value, option.value);\n            if (optionIndex > -1) {\n              value.splice(optionIndex, 1);\n            } else if (this.multipleLimit <= 0 || value.length < this.multipleLimit) {\n              value.push(option.value);\n            }\n            this.$emit('input', value);\n            this.emitChange(value);\n            if (option.created) {\n              this.query = '';\n              this.handleQueryChange('');\n              this.inputLength = 20;\n            }\n            if (this.filterable) this.$refs.input.focus();\n          } else {\n            this.$emit('input', option.value);\n            this.emitChange(option.value);\n            this.visible = false;\n          }\n          this.isSilentBlur = byClick;\n          this.setSoftFocus();\n          if (this.visible) return;\n          this.$nextTick(function () {\n            _this12.scrollToOption(option);\n          });\n        },\n        setSoftFocus: function setSoftFocus() {\n          this.softFocus = true;\n          var input = this.$refs.input || this.$refs.reference;\n          if (input) {\n            input.focus();\n          }\n        },\n        getValueIndex: function getValueIndex() {\n          var arr = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : [];\n          var value = arguments[1];\n          var isObject = Object.prototype.toString.call(value).toLowerCase() === '[object object]';\n          if (!isObject) {\n            return arr.indexOf(value);\n          } else {\n            var valueKey = this.valueKey;\n            var index = -1;\n            arr.some(function (item, i) {\n              if (Object(util_[\"getValueByPath\"])(item, valueKey) === Object(util_[\"getValueByPath\"])(value, valueKey)) {\n                index = i;\n                return true;\n              }\n              return false;\n            });\n            return index;\n          }\n        },\n        toggleMenu: function toggleMenu() {\n          if (!this.selectDisabled) {\n            if (this.menuVisibleOnFocus) {\n              this.menuVisibleOnFocus = false;\n            } else {\n              this.visible = !this.visible;\n            }\n            if (this.visible) {\n              (this.$refs.input || this.$refs.reference).focus();\n            }\n          }\n        },\n        selectOption: function selectOption() {\n          if (!this.visible) {\n            this.toggleMenu();\n          } else {\n            if (this.options[this.hoverIndex]) {\n              this.handleOptionSelect(this.options[this.hoverIndex]);\n            }\n          }\n        },\n        deleteSelected: function deleteSelected(event) {\n          event.stopPropagation();\n          var value = this.multiple ? [] : '';\n          this.$emit('input', value);\n          this.emitChange(value);\n          this.visible = false;\n          this.$emit('clear');\n        },\n        deleteTag: function deleteTag(event, tag) {\n          var index = this.selected.indexOf(tag);\n          if (index > -1 && !this.selectDisabled) {\n            var value = this.value.slice();\n            value.splice(index, 1);\n            this.$emit('input', value);\n            this.emitChange(value);\n            this.$emit('remove-tag', tag.value);\n          }\n          event.stopPropagation();\n        },\n        onInputChange: function onInputChange() {\n          if (this.filterable && this.query !== this.selectedLabel) {\n            this.query = this.selectedLabel;\n            this.handleQueryChange(this.query);\n          }\n        },\n        onOptionDestroy: function onOptionDestroy(index) {\n          if (index > -1) {\n            this.optionsCount--;\n            this.filteredOptionsCount--;\n            this.options.splice(index, 1);\n          }\n        },\n        resetInputWidth: function resetInputWidth() {\n          this.inputWidth = this.$refs.reference.$el.getBoundingClientRect().width;\n        },\n        handleResize: function handleResize() {\n          this.resetInputWidth();\n          if (this.multiple) this.resetInputHeight();\n        },\n        checkDefaultFirstOption: function checkDefaultFirstOption() {\n          this.hoverIndex = -1;\n          // highlight the created option\n          var hasCreated = false;\n          for (var i = this.options.length - 1; i >= 0; i--) {\n            if (this.options[i].created) {\n              hasCreated = true;\n              this.hoverIndex = i;\n              break;\n            }\n          }\n          if (hasCreated) return;\n          for (var _i = 0; _i !== this.options.length; ++_i) {\n            var option = this.options[_i];\n            if (this.query) {\n              // highlight first options that passes the filter\n              if (!option.disabled && !option.groupDisabled && option.visible) {\n                this.hoverIndex = _i;\n                break;\n              }\n            } else {\n              // highlight currently selected option\n              if (option.itemSelected) {\n                this.hoverIndex = _i;\n                break;\n              }\n            }\n          }\n        },\n        getValueKey: function getValueKey(item) {\n          if (Object.prototype.toString.call(item.value).toLowerCase() !== '[object object]') {\n            return item.value;\n          } else {\n            return Object(util_[\"getValueByPath\"])(item.value, this.valueKey);\n          }\n        }\n      },\n      created: function created() {\n        var _this13 = this;\n        this.cachedPlaceHolder = this.currentPlaceholder = this.propPlaceholder;\n        if (this.multiple && !Array.isArray(this.value)) {\n          this.$emit('input', []);\n        }\n        if (!this.multiple && Array.isArray(this.value)) {\n          this.$emit('input', '');\n        }\n        this.debouncedOnInputChange = debounce_default()(this.debounce, function () {\n          _this13.onInputChange();\n        });\n        this.debouncedQueryChange = debounce_default()(this.debounce, function (e) {\n          _this13.handleQueryChange(e.target.value);\n        });\n        this.$on('handleOptionClick', this.handleOptionSelect);\n        this.$on('setSelected', this.setSelected);\n      },\n      mounted: function mounted() {\n        var _this14 = this;\n        if (this.multiple && Array.isArray(this.value) && this.value.length > 0) {\n          this.currentPlaceholder = '';\n        }\n        Object(resize_event_[\"addResizeListener\"])(this.$el, this.handleResize);\n        var reference = this.$refs.reference;\n        if (reference && reference.$el) {\n          var sizeMap = {\n            medium: 36,\n            small: 32,\n            mini: 28\n          };\n          var input = reference.$el.querySelector('input');\n          this.initialInputHeight = input.getBoundingClientRect().height || sizeMap[this.selectSize];\n        }\n        if (this.remote && this.multiple) {\n          this.resetInputHeight();\n        }\n        this.$nextTick(function () {\n          if (reference && reference.$el) {\n            _this14.inputWidth = reference.$el.getBoundingClientRect().width;\n          }\n        });\n        this.setSelected();\n      },\n      beforeDestroy: function beforeDestroy() {\n        if (this.$el && this.handleResize) Object(resize_event_[\"removeResizeListener\"])(this.$el, this.handleResize);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/select/src/select.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_selectvue_type_script_lang_js_ = selectvue_type_script_lang_js_;\n    // CONCATENATED MODULE: ./packages/select/src/select.vue\n\n    /* normalize component */\n\n    var select_component = Object(componentNormalizer[\"a\" /* default */])(src_selectvue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var select_api; }\n    select_component.options.__file = \"packages/select/src/select.vue\";\n    /* harmony default export */\n    var src_select = select_component.exports;\n    // CONCATENATED MODULE: ./packages/select/index.js\n\n    /* istanbul ignore next */\n    src_select.install = function (Vue) {\n      Vue.component(src_select.name, src_select);\n    };\n\n    /* harmony default export */\n    var packages_select = __webpack_exports__[\"default\"] = src_select;\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/select.js?");
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-/***/ }),
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scriptExports.options : scriptExports;\n\n      // render functions\n      if (render) {\n        options.render = render;\n        options.staticRenderFns = staticRenderFns;\n        options._compiled = true;\n      }\n\n      // functional template\n      if (functionalTemplate) {\n        options.functional = true;\n      }\n\n      // scopedId\n      if (scopeId) {\n        options._scopeId = 'data-v-' + scopeId;\n      }\n      var hook;\n      if (moduleIdentifier) {\n        // server build\n        hook = function (context) {\n          // 2.3 injection\n          context = context ||\n          // cached call\n          this.$vnode && this.$vnode.ssrContext ||\n          // stateful\n          this.parent && this.parent.$vnode && this.parent.$vnode.ssrContext; // functional\n          // 2.2 with runInNewContext: true\n          if (!context && typeof __VUE_SSR_CONTEXT__ !== 'undefined') {\n            context = __VUE_SSR_CONTEXT__;\n          }\n          // inject component styles\n          if (injectStyles) {\n            injectStyles.call(this, context);\n          }\n          // register component module identifier for async chunk inferrence\n          if (context && context._registeredComponents) {\n            context._registeredComponents.add(moduleIdentifier);\n          }\n        };\n        // used by ssr in case component is cached and beforeCreate\n        // never gets called\n        options._ssrRegister = hook;\n      } else if (injectStyles) {\n        hook = shadowMode ? function () {\n          injectStyles.call(this, this.$root.$options.shadowRoot);\n        } : injectStyles;\n      }\n      if (hook) {\n        if (options.functional) {\n          // for template-only hot-reload because in that case the render fn doesn't\n          // go through the normalizer\n          options._injectStyles = hook;\n          // register for functioal component in vue file\n          var originalRender = options.render;\n          options.render = function renderWithStyleInjection(h, context) {\n            hook.call(context);\n            return originalRender(h, context);\n          };\n        } else {\n          // inject component registration as beforeCreate hook\n          var existing = options.beforeCreate;\n          options.beforeCreate = existing ? [].concat(existing, hook) : [hook];\n        }\n      }\n      return {\n        exports: scriptExports,\n        options: options\n      };\n    }\n\n    /***/\n  },\n\n  /***/132: /***/function (module, __webpack_exports__, __nested_webpack_require_7236__) {\n    \"use strict\";\n\n    __nested_webpack_require_7236__.r(__webpack_exports__);\n\n    // CONCATENATED MODULE: ./node_modules/babel-loader/lib!./node_modules/vue-loader/lib??vue-loader-options!./packages/tag/src/tag.vue?vue&type=script&lang=js&\n\n    /* harmony default export */\n    var tagvue_type_script_lang_js_ = {\n      name: 'ElTag',\n      props: {\n        text: String,\n        closable: Boolean,\n        type: String,\n        hit: Boolean,\n        disableTransitions: Boolean,\n        color: String,\n        size: String,\n        effect: {\n          type: String,\n          default: 'light',\n          validator: function validator(val) {\n            return ['dark', 'light', 'plain'].indexOf(val) !== -1;\n          }\n        }\n      },\n      methods: {\n        handleClose: function handleClose(event) {\n          event.stopPropagation();\n          this.$emit('close', event);\n        },\n        handleClick: function handleClick(event) {\n          this.$emit('click', event);\n        }\n      },\n      computed: {\n        tagSize: function tagSize() {\n          return this.size || (this.$ELEMENT || {}).size;\n        }\n      },\n      render: function render(h) {\n        var type = this.type,\n          tagSize = this.tagSize,\n          hit = this.hit,\n          effect = this.effect;\n        var classes = ['el-tag', type ? 'el-tag--' + type : '', tagSize ? 'el-tag--' + tagSize : '', effect ? 'el-tag--' + effect : '', hit && 'is-hit'];\n        var tagEl = h('span', {\n          'class': classes,\n          style: {\n            backgroundColor: this.color\n          },\n          on: {\n            'click': this.handleClick\n          }\n        }, [this.$slots.default, this.closable && h('i', {\n          'class': 'el-tag__close el-icon-close',\n          on: {\n            'click': this.handleClose\n          }\n        })]);\n        return this.disableTransitions ? tagEl : h('transition', {\n          attrs: {\n            name: 'el-zoom-in-center'\n          }\n        }, [tagEl]);\n      }\n    };\n    // CONCATENATED MODULE: ./packages/tag/src/tag.vue?vue&type=script&lang=js&\n    /* harmony default export */\n    var src_tagvue_type_script_lang_js_ = tagvue_type_script_lang_js_;\n    // EXTERNAL MODULE: ./node_modules/vue-loader/lib/runtime/componentNormalizer.js\n    var componentNormalizer = __nested_webpack_require_7236__(0);\n\n    // CONCATENATED MODULE: ./packages/tag/src/tag.vue\n    var render, staticRenderFns;\n\n    /* normalize component */\n\n    var component = Object(componentNormalizer[\"a\" /* default */])(src_tagvue_type_script_lang_js_, render, staticRenderFns, false, null, null, null);\n\n    /* hot reload */\n    if (false) { var api; }\n    component.options.__file = \"packages/tag/src/tag.vue\";\n    /* harmony default export */\n    var tag = component.exports;\n    // CONCATENATED MODULE: ./packages/tag/index.js\n\n    /* istanbul ignore next */\n    tag.install = function (Vue) {\n      Vue.component(tag.name, tag);\n    };\n\n    /* harmony default export */\n    var packages_tag = __webpack_exports__[\"default\"] = tag;\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/tag.js?");
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'true' : 'false'\n            },\n            directives: [{\n              name: 'show',\n              value: !this.disabled && this.showPopper\n            }],\n            'class': ['el-tooltip__popper', 'is-' + this.effect, this.popperClass]\n          }, [this.$slots.content || this.content])]);\n        }\n        var firstElement = this.getFirstElement();\n        if (!firstElement) return null;\n        var data = firstElement.data = firstElement.data || {};\n        data.staticClass = this.addTooltipClass(data.staticClass);\n        return firstElement;\n      },\n      mounted: function mounted() {\n        var _this3 = this;\n        this.referenceElm = this.$el;\n        if (this.$el.nodeType === 1) {\n          this.$el.setAttribute('aria-describedby', this.tooltipId);\n          this.$el.setAttribute('tabindex', this.tabindex);\n          Object(dom_[\"on\"])(this.referenceElm, 'mouseenter', this.show);\n          Object(dom_[\"on\"])(this.referenceElm, 'mouseleave', this.hide);\n          Object(dom_[\"on\"])(this.referenceElm, 'focus', function () {\n            if (!_this3.$slots.default || !_this3.$slots.default.length) {\n              _this3.handleFocus();\n              return;\n            }\n            var instance = _this3.$slots.default[0].componentInstance;\n            if (instance && instance.focus) {\n              instance.focus();\n            } else {\n              _this3.handleFocus();\n            }\n          });\n          Object(dom_[\"on\"])(this.referenceElm, 'blur', this.handleBlur);\n          Object(dom_[\"on\"])(this.referenceElm, 'click', this.removeFocusing);\n        }\n        // fix issue https://github.com/ElemeFE/element/issues/14424\n        if (this.value && this.popperVM) {\n          this.popperVM.$nextTick(function () {\n            if (_this3.value) {\n              _this3.updatePopper();\n            }\n          });\n        }\n      },\n      watch: {\n        focusing: function focusing(val) {\n          if (val) {\n            Object(dom_[\"addClass\"])(this.referenceElm, 'focusing');\n          } else {\n            Object(dom_[\"removeClass\"])(this.referenceElm, 'focusing');\n          }\n        }\n      },\n      methods: {\n        show: function show() {\n          this.setExpectedState(true);\n          this.handleShowPopper();\n        },\n        hide: function hide() {\n          this.setExpectedState(false);\n          this.debounceClose();\n        },\n        handleFocus: function handleFocus() {\n          this.focusing = true;\n          this.show();\n        },\n        handleBlur: function handleBlur() {\n          this.focusing = false;\n          this.hide();\n        },\n        removeFocusing: function removeFocusing() {\n          this.focusing = false;\n        },\n        addTooltipClass: function addTooltipClass(prev) {\n          if (!prev) {\n            return 'el-tooltip';\n          } else {\n            return 'el-tooltip ' + prev.replace('el-tooltip', '');\n          }\n        },\n        handleShowPopper: function handleShowPopper() {\n          var _this4 = this;\n          if (!this.expectedState || this.manual) return;\n          clearTimeout(this.timeout);\n          this.timeout = setTimeout(function () {\n            _this4.showPopper = true;\n          }, this.openDelay);\n          if (this.hideAfter > 0) {\n            this.timeoutPending = setTimeout(function () {\n              _this4.showPopper = false;\n            }, this.hideAfter);\n          }\n        },\n        handleClosePopper: function handleClosePopper() {\n          if (this.enterable && this.expectedState || this.manual) return;\n          clearTimeout(this.timeout);\n          if (this.timeoutPending) {\n            clearTimeout(this.timeoutPending);\n          }\n          this.showPopper = false;\n          if (this.disabled) {\n            this.doDestroy();\n          }\n        },\n        setExpectedState: function setExpectedState(expectedState) {\n          if (expectedState === false) {\n            clearTimeout(this.timeoutPending);\n          }\n          this.expectedState = expectedState;\n        },\n        getFirstElement: function getFirstElement() {\n          var slots = this.$slots.default;\n          if (!Array.isArray(slots)) return null;\n          var element = null;\n          for (var index = 0; index < slots.length; index++) {\n            if (slots[index] && slots[index].tag) {\n              element = slots[index];\n              break;\n            }\n            ;\n          }\n          return element;\n        }\n      },\n      beforeDestroy: function beforeDestroy() {\n        this.popperVM && this.popperVM.$destroy();\n      },\n      destroyed: function destroyed() {\n        var reference = this.referenceElm;\n        if (reference.nodeType === 1) {\n          Object(dom_[\"off\"])(reference, 'mouseenter', this.show);\n          Object(dom_[\"off\"])(reference, 'mouseleave', this.hide);\n          Object(dom_[\"off\"])(reference, 'focus', this.handleFocus);\n          Object(dom_[\"off\"])(reference, 'blur', this.handleBlur);\n          Object(dom_[\"off\"])(reference, 'click', this.removeFocusing);\n        }\n      }\n    };\n    // CONCATENATED MODULE: ./packages/tooltip/index.js\n\n    /* istanbul ignore next */\n    main.install = function (Vue) {\n      Vue.component(main.name, main);\n    };\n\n    /* harmony default export */\n    var tooltip = __webpack_exports__[\"default\"] = main;\n\n    /***/\n  },\n\n  /***/19: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! throttle-debounce/debounce */ \"./node_modules/throttle-debounce/debounce.js\");\n\n    /***/\n  },\n\n  /***/2: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/dom */ \"./node_modules/element-ui/lib/utils/dom.js\");\n\n    /***/\n  },\n\n  /***/3: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/util */ \"./node_modules/element-ui/lib/utils/util.js\");\n\n    /***/\n  },\n\n  /***/5: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! element-ui/lib/utils/vue-popper */ \"./node_modules/element-ui/lib/utils/vue-popper.js\");\n\n    /***/\n  },\n\n  /***/7: /***/function (module, exports) {\n    module.exports = __webpack_require__(/*! vue */ \"./node_modules/vue/dist/vue.runtime.esm.js\");\n\n    /***/\n  }\n\n  /******/\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/tooltip.js?");
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-"use strict";
-eval("\n\nexports.__esModule = true;\nvar _dom = __webpack_require__(/*! element-ui/lib/utils/dom */ \"./node_modules/element-ui/lib/utils/dom.js\");\nfunction _classCallCheck(instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n}\nvar Transition = function () {\n  function Transition() {\n    _classCallCheck(this, Transition);\n  }\n  Transition.prototype.beforeEnter = function beforeEnter(el) {\n    (0, _dom.addClass)(el, 'collapse-transition');\n    if (!el.dataset) el.dataset = {};\n    el.dataset.oldPaddingTop = el.style.paddingTop;\n    el.dataset.oldPaddingBottom = el.style.paddingBottom;\n    el.style.height = '0';\n    el.style.paddingTop = 0;\n    el.style.paddingBottom = 0;\n  };\n  Transition.prototype.enter = function enter(el) {\n    el.dataset.oldOverflow = el.style.overflow;\n    if (el.scrollHeight !== 0) {\n      el.style.height = el.scrollHeight + 'px';\n      el.style.paddingTop = el.dataset.oldPaddingTop;\n      el.style.paddingBottom = el.dataset.oldPaddingBottom;\n    } else {\n      el.style.height = '';\n      el.style.paddingTop = el.dataset.oldPaddingTop;\n      el.style.paddingBottom = el.dataset.oldPaddingBottom;\n    }\n    el.style.overflow = 'hidden';\n  };\n  Transition.prototype.afterEnter = function afterEnter(el) {\n    // for safari: remove class then reset height is necessary\n    (0, _dom.removeClass)(el, 'collapse-transition');\n    el.style.height = '';\n    el.style.overflow = el.dataset.oldOverflow;\n  };\n  Transition.prototype.beforeLeave = function beforeLeave(el) {\n    if (!el.dataset) el.dataset = {};\n    el.dataset.oldPaddingTop = el.style.paddingTop;\n    el.dataset.oldPaddingBottom = el.style.paddingBottom;\n    el.dataset.oldOverflow = el.style.overflow;\n    el.style.height = el.scrollHeight + 'px';\n    el.style.overflow = 'hidden';\n  };\n  Transition.prototype.leave = function leave(el) {\n    if (el.scrollHeight !== 0) {\n      // for safari: add class after set height, or it will jump to zero height suddenly, weired\n      (0, _dom.addClass)(el, 'collapse-transition');\n      el.style.height = 0;\n      el.style.paddingTop = 0;\n      el.style.paddingBottom = 0;\n    }\n  };\n  Transition.prototype.afterLeave = function afterLeave(el) {\n    (0, _dom.removeClass)(el, 'collapse-transition');\n    el.style.height = '';\n    el.style.overflow = el.dataset.oldOverflow;\n    el.style.paddingTop = el.dataset.oldPaddingTop;\n    el.style.paddingBottom = el.dataset.oldPaddingBottom;\n  };\n  return Transition;\n}();\nexports[\"default\"] = {\n  name: 'ElCollapseTransition',\n  functional: true,\n  render: function render(h, _ref) {\n    var children = _ref.children;\n    var data = {\n      on: new Transition()\n    };\n    return h('transition', data, children);\n  }\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/transitions/collapse-transition.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/utils/after-leave.js":
-/*!**********************************************************!*\
-  !*** ./node_modules/element-ui/lib/utils/after-leave.js ***!
-  \**********************************************************/
-/***/ (function(__unused_webpack_module, exports) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nexports[\"default\"] = function (instance, callback) {\n  var speed = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 300;\n  var once = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : false;\n  if (!instance || !callback) throw new Error('instance & callback is required');\n  var called = false;\n  var afterLeaveCallback = function afterLeaveCallback() {\n    if (called) return;\n    called = true;\n    if (callback) {\n      callback.apply(null, arguments);\n    }\n  };\n  if (once) {\n    instance.$once('after-leave', afterLeaveCallback);\n  } else {\n    instance.$on('after-leave', afterLeaveCallback);\n  }\n  setTimeout(function () {\n    afterLeaveCallback();\n  }, speed + 100);\n};\n; /**\n   * Bind after-leave event for vue instance. Make sure after-leave is called in any browsers.\n   *\n   * @param {Vue} instance Vue instance.\n   * @param {Function} callback callback of after-leave event\n   * @param {Number} speed the speed of transition, default value is 300ms\n   * @param {Boolean} once weather bind after-leave once. default value is false.\n   */\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/after-leave.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/utils/aria-dialog.js":
-/*!**********************************************************!*\
-  !*** ./node_modules/element-ui/lib/utils/aria-dialog.js ***!
-  \**********************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n  return typeof obj;\n} : function (obj) {\n  return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n};\nvar _ariaUtils = __webpack_require__(/*! ./aria-utils */ \"./node_modules/element-ui/lib/utils/aria-utils.js\");\nvar _ariaUtils2 = _interopRequireDefault(_ariaUtils);\nfunction _interopRequireDefault(obj) {\n  return obj && obj.__esModule ? obj : {\n    default: obj\n  };\n}\n\n/**\n * @constructor\n * @desc Dialog object providing modal focus management.\n *\n * Assumptions: The element serving as the dialog container is present in the\n * DOM and hidden. The dialog container has role='dialog'.\n *\n * @param dialogId\n *          The ID of the element serving as the dialog container.\n * @param focusAfterClosed\n *          Either the DOM node or the ID of the DOM node to focus when the\n *          dialog closes.\n * @param focusFirst\n *          Optional parameter containing either the DOM node or the ID of the\n *          DOM node to focus when the dialog opens. If not specified, the\n *          first focusable element in the dialog will receive focus.\n */\nvar aria = aria || {};\nvar tabEvent;\naria.Dialog = function (dialog, focusAfterClosed, focusFirst) {\n  var _this = this;\n  this.dialogNode = dialog;\n  if (this.dialogNode === null || this.dialogNode.getAttribute('role') !== 'dialog') {\n    throw new Error('Dialog() requires a DOM element with ARIA role of dialog.');\n  }\n  if (typeof focusAfterClosed === 'string') {\n    this.focusAfterClosed = document.getElementById(focusAfterClosed);\n  } else if ((typeof focusAfterClosed === 'undefined' ? 'undefined' : _typeof(focusAfterClosed)) === 'object') {\n    this.focusAfterClosed = focusAfterClosed;\n  } else {\n    this.focusAfterClosed = null;\n  }\n  if (typeof focusFirst === 'string') {\n    this.focusFirst = document.getElementById(focusFirst);\n  } else if ((typeof focusFirst === 'undefined' ? 'undefined' : _typeof(focusFirst)) === 'object') {\n    this.focusFirst = focusFirst;\n  } else {\n    this.focusFirst = null;\n  }\n  if (this.focusFirst) {\n    this.focusFirst.focus();\n  } else {\n    _ariaUtils2.default.focusFirstDescendant(this.dialogNode);\n  }\n  this.lastFocus = document.activeElement;\n  tabEvent = function tabEvent(e) {\n    _this.trapFocus(e);\n  };\n  this.addListeners();\n};\naria.Dialog.prototype.addListeners = function () {\n  document.addEventListener('focus', tabEvent, true);\n};\naria.Dialog.prototype.removeListeners = function () {\n  document.removeEventListener('focus', tabEvent, true);\n};\naria.Dialog.prototype.closeDialog = function () {\n  var _this2 = this;\n  this.removeListeners();\n  if (this.focusAfterClosed) {\n    setTimeout(function () {\n      _this2.focusAfterClosed.focus();\n    });\n  }\n};\naria.Dialog.prototype.trapFocus = function (event) {\n  if (_ariaUtils2.default.IgnoreUtilFocusChanges) {\n    return;\n  }\n  if (this.dialogNode.contains(event.target)) {\n    this.lastFocus = event.target;\n  } else {\n    _ariaUtils2.default.focusFirstDescendant(this.dialogNode);\n    if (this.lastFocus === document.activeElement) {\n      _ariaUtils2.default.focusLastDescendant(this.dialogNode);\n    }\n    this.lastFocus = document.activeElement;\n  }\n};\nexports[\"default\"] = aria.Dialog;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/aria-dialog.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/utils/aria-utils.js":
-/*!*********************************************************!*\
-  !*** ./node_modules/element-ui/lib/utils/aria-utils.js ***!
-  \*********************************************************/
-/***/ (function(__unused_webpack_module, exports) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nvar aria = aria || {};\naria.Utils = aria.Utils || {};\n\n/**\n * @desc Set focus on descendant nodes until the first focusable element is\n *       found.\n * @param element\n *          DOM node for which to find the first focusable descendant.\n * @returns\n *  true if a focusable element is found and focus is set.\n */\naria.Utils.focusFirstDescendant = function (element) {\n  for (var i = 0; i < element.childNodes.length; i++) {\n    var child = element.childNodes[i];\n    if (aria.Utils.attemptFocus(child) || aria.Utils.focusFirstDescendant(child)) {\n      return true;\n    }\n  }\n  return false;\n};\n\n/**\n * @desc Find the last descendant node that is focusable.\n * @param element\n *          DOM node for which to find the last focusable descendant.\n * @returns\n *  true if a focusable element is found and focus is set.\n */\n\naria.Utils.focusLastDescendant = function (element) {\n  for (var i = element.childNodes.length - 1; i >= 0; i--) {\n    var child = element.childNodes[i];\n    if (aria.Utils.attemptFocus(child) || aria.Utils.focusLastDescendant(child)) {\n      return true;\n    }\n  }\n  return false;\n};\n\n/**\n * @desc Set Attempt to set focus on the current node.\n * @param element\n *          The node to attempt to focus on.\n * @returns\n *  true if element is focused.\n */\naria.Utils.attemptFocus = function (element) {\n  if (!aria.Utils.isFocusable(element)) {\n    return false;\n  }\n  aria.Utils.IgnoreUtilFocusChanges = true;\n  try {\n    element.focus();\n  } catch (e) {}\n  aria.Utils.IgnoreUtilFocusChanges = false;\n  return document.activeElement === element;\n};\naria.Utils.isFocusable = function (element) {\n  if (element.tabIndex > 0 || element.tabIndex === 0 && element.getAttribute('tabIndex') !== null) {\n    return true;\n  }\n  if (element.disabled) {\n    return false;\n  }\n  switch (element.nodeName) {\n    case 'A':\n      return !!element.href && element.rel !== 'ignore';\n    case 'INPUT':\n      return element.type !== 'hidden' && element.type !== 'file';\n    case 'BUTTON':\n    case 'SELECT':\n    case 'TEXTAREA':\n      return true;\n    default:\n      return false;\n  }\n};\n\n/**\n * 触发一个事件\n * mouseenter, mouseleave, mouseover, keyup, change, click 等\n * @param  {Element} elm\n * @param  {String} name\n * @param  {*} opts\n */\naria.Utils.triggerEvent = function (elm, name) {\n  var eventName = void 0;\n  if (/^mouse|click/.test(name)) {\n    eventName = 'MouseEvents';\n  } else if (/^key/.test(name)) {\n    eventName = 'KeyboardEvent';\n  } else {\n    eventName = 'HTMLEvents';\n  }\n  var evt = document.createEvent(eventName);\n  for (var _len = arguments.length, opts = Array(_len > 2 ? _len - 2 : 0), _key = 2; _key < _len; _key++) {\n    opts[_key - 2] = arguments[_key];\n  }\n  evt.initEvent.apply(evt, [name].concat(opts));\n  elm.dispatchEvent ? elm.dispatchEvent(evt) : elm.fireEvent('on' + name, evt);\n  return elm;\n};\naria.Utils.keys = {\n  tab: 9,\n  enter: 13,\n  space: 32,\n  left: 37,\n  up: 38,\n  right: 39,\n  down: 40,\n  esc: 27\n};\nexports[\"default\"] = aria.Utils;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/aria-utils.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/utils/clickoutside.js":
-/*!***********************************************************!*\
-  !*** ./node_modules/element-ui/lib/utils/clickoutside.js ***!
-  \***********************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
-eval("\n\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\nexports.__esModule = true;\nvar _vue = __webpack_require__(/*! vue */ \"./node_modules/vue/dist/vue.runtime.esm.js\");\nvar _vue2 = _interopRequireDefault(_vue);\nvar _dom = __webpack_require__(/*! element-ui/lib/utils/dom */ \"./node_modules/element-ui/lib/utils/dom.js\");\nfunction _interopRequireDefault(obj) {\n  return obj && obj.__esModule ? obj : {\n    default: obj\n  };\n}\nvar nodeList = [];\nvar ctx = '@@clickoutsideContext';\nvar startClick = void 0;\nvar seed = 0;\n!_vue2.default.prototype.$isServer && (0, _dom.on)(document, 'mousedown', function (e) {\n  return startClick = e;\n});\n!_vue2.default.prototype.$isServer && (0, _dom.on)(document, 'mouseup', function (e) {\n  nodeList.forEach(function (node) {\n    return node[ctx].documentHandler(e, startClick);\n  });\n});\nfunction createDocumentHandler(el, binding, vnode) {\n  return function () {\n    var mouseup = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {};\n    var mousedown = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n    if (!vnode || !vnode.context || !mouseup.target || !mousedown.target || el.contains(mouseup.target) || el.contains(mousedown.target) || el === mouseup.target || vnode.context.popperElm && (vnode.context.popperElm.contains(mouseup.target) || vnode.context.popperElm.contains(mousedown.target))) return;\n    if (binding.expression && el[ctx].methodName && vnode.context[el[ctx].methodName]) {\n      vnode.context[el[ctx].methodName]();\n    } else {\n      el[ctx].bindingFn && el[ctx].bindingFn();\n    }\n  };\n}\n\n/**\n * v-clickoutside\n * @desc 点击元素外面才会触发的事件\n * @example\n * ```vue\n * <div v-element-clickoutside=\"handleClose\">\n * ```\n */\nexports[\"default\"] = {\n  bind: function bind(el, binding, vnode) {\n    nodeList.push(el);\n    var id = seed++;\n    el[ctx] = {\n      id: id,\n      documentHandler: createDocumentHandler(el, binding, vnode),\n      methodName: binding.expression,\n      bindingFn: binding.value\n    };\n  },\n  update: function update(el, binding, vnode) {\n    el[ctx].documentHandler = createDocumentHandler(el, binding, vnode);\n    el[ctx].methodName = binding.expression;\n    el[ctx].bindingFn = binding.value;\n  },\n  unbind: function unbind(el) {\n    var len = nodeList.length;\n    for (var i = 0; i < len; i++) {\n      if (nodeList[i][ctx].id === el[ctx].id) {\n        nodeList.splice(i, 1);\n        break;\n      }\n    }\n    delete el[ctx];\n  }\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/clickoutside.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/utils/date-util.js":
-/*!********************************************************!*\
-  !*** ./node_modules/element-ui/lib/utils/date-util.js ***!
-  \********************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
-eval("\n\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\nexports.__esModule = true;\nexports.validateRangeInOneMonth = exports.extractTimeFormat = exports.extractDateFormat = exports.nextYear = exports.prevYear = exports.nextMonth = exports.prevMonth = exports.changeYearMonthAndClampDate = exports.timeWithinRange = exports.limitTimeRange = exports.clearMilliseconds = exports.clearTime = exports.modifyWithTimeString = exports.modifyTime = exports.modifyDate = exports.range = exports.getRangeMinutes = exports.getMonthDays = exports.getPrevMonthLastDays = exports.getRangeHours = exports.getWeekNumber = exports.getStartDateOfMonth = exports.nextDate = exports.prevDate = exports.getFirstDayOfMonth = exports.getDayCountOfYear = exports.getDayCountOfMonth = exports.parseDate = exports.formatDate = exports.isDateObject = exports.isDate = exports.toDate = exports.getI18nSettings = undefined;\nvar _date = __webpack_require__(/*! element-ui/lib/utils/date */ \"./node_modules/element-ui/lib/utils/date.js\");\nvar _date2 = _interopRequireDefault(_date);\nvar _locale = __webpack_require__(/*! element-ui/lib/locale */ \"./node_modules/element-ui/lib/locale/index.js\");\nfunction _interopRequireDefault(obj) {\n  return obj && obj.__esModule ? obj : {\n    default: obj\n  };\n}\nvar weeks = ['sun', 'mon', 'tue', 'wed', 'thu', 'fri', 'sat'];\nvar months = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec'];\nvar newArray = function newArray(start, end) {\n  var result = [];\n  for (var i = start; i <= end; i++) {\n    result.push(i);\n  }\n  return result;\n};\nvar getI18nSettings = exports.getI18nSettings = function getI18nSettings() {\n  return {\n    dayNamesShort: weeks.map(function (week) {\n      return (0, _locale.t)('el.datepicker.weeks.' + week);\n    }),\n    dayNames: weeks.map(function (week) {\n      return (0, _locale.t)('el.datepicker.weeks.' + week);\n    }),\n    monthNamesShort: months.map(function (month) {\n      return (0, _locale.t)('el.datepicker.months.' + month);\n    }),\n    monthNames: months.map(function (month, index) {\n      return (0, _locale.t)('el.datepicker.month' + (index + 1));\n    }),\n    amPm: ['am', 'pm']\n  };\n};\nvar toDate = exports.toDate = function toDate(date) {\n  return isDate(date) ? new Date(date) : null;\n};\nvar isDate = exports.isDate = function isDate(date) {\n  if (date === null || date === undefined) return false;\n  if (isNaN(new Date(date).getTime())) return false;\n  if (Array.isArray(date)) return false; // deal with `new Date([ new Date() ]) -> new Date()`\n  return true;\n};\nvar isDateObject = exports.isDateObject = function isDateObject(val) {\n  return val instanceof Date;\n};\nvar formatDate = exports.formatDate = function formatDate(date, format) {\n  date = toDate(date);\n  if (!date) return '';\n  return _date2.default.format(date, format || 'yyyy-MM-dd', getI18nSettings());\n};\nvar parseDate = exports.parseDate = function parseDate(string, format) {\n  return _date2.default.parse(string, format || 'yyyy-MM-dd', getI18nSettings());\n};\nvar getDayCountOfMonth = exports.getDayCountOfMonth = function getDayCountOfMonth(year, month) {\n  if (isNaN(+month)) return 31;\n  return new Date(year, +month + 1, 0).getDate();\n};\nvar getDayCountOfYear = exports.getDayCountOfYear = function getDayCountOfYear(year) {\n  var isLeapYear = year % 400 === 0 || year % 100 !== 0 && year % 4 === 0;\n  return isLeapYear ? 366 : 365;\n};\nvar getFirstDayOfMonth = exports.getFirstDayOfMonth = function getFirstDayOfMonth(date) {\n  var temp = new Date(date.getTime());\n  temp.setDate(1);\n  return temp.getDay();\n};\n\n// see: https://stackoverflow.com/questions/3674539/incrementing-a-date-in-javascript\n// {prev, next} Date should work for Daylight Saving Time\n// Adding 24 * 60 * 60 * 1000 does not work in the above scenario\nvar prevDate = exports.prevDate = function prevDate(date) {\n  var amount = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 1;\n  return new Date(date.getFullYear(), date.getMonth(), date.getDate() - amount);\n};\nvar nextDate = exports.nextDate = function nextDate(date) {\n  var amount = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 1;\n  return new Date(date.getFullYear(), date.getMonth(), date.getDate() + amount);\n};\nvar getStartDateOfMonth = exports.getStartDateOfMonth = function getStartDateOfMonth(year, month) {\n  var result = new Date(year, month, 1);\n  var day = result.getDay();\n  if (day === 0) {\n    return prevDate(result, 7);\n  } else {\n    return prevDate(result, day);\n  }\n};\nvar getWeekNumber = exports.getWeekNumber = function getWeekNumber(src) {\n  if (!isDate(src)) return null;\n  var date = new Date(src.getTime());\n  date.setHours(0, 0, 0, 0);\n  // Thursday in current week decides the year.\n  date.setDate(date.getDate() + 3 - (date.getDay() + 6) % 7);\n  // January 4 is always in week 1.\n  var week1 = new Date(date.getFullYear(), 0, 4);\n  // Adjust to Thursday in week 1 and count number of weeks from date to week 1.\n  // Rounding should be fine for Daylight Saving Time. Its shift should never be more than 12 hours.\n  return 1 + Math.round(((date.getTime() - week1.getTime()) / 86400000 - 3 + (week1.getDay() + 6) % 7) / 7);\n};\nvar getRangeHours = exports.getRangeHours = function getRangeHours(ranges) {\n  var hours = [];\n  var disabledHours = [];\n  (ranges || []).forEach(function (range) {\n    var value = range.map(function (date) {\n      return date.getHours();\n    });\n    disabledHours = disabledHours.concat(newArray(value[0], value[1]));\n  });\n  if (disabledHours.length) {\n    for (var i = 0; i < 24; i++) {\n      hours[i] = disabledHours.indexOf(i) === -1;\n    }\n  } else {\n    for (var _i = 0; _i < 24; _i++) {\n      hours[_i] = false;\n    }\n  }\n  return hours;\n};\nvar getPrevMonthLastDays = exports.getPrevMonthLastDays = function getPrevMonthLastDays(date, amount) {\n  if (amount <= 0) return [];\n  var temp = new Date(date.getTime());\n  temp.setDate(0);\n  var lastDay = temp.getDate();\n  return range(amount).map(function (_, index) {\n    return lastDay - (amount - index - 1);\n  });\n};\nvar getMonthDays = exports.getMonthDays = function getMonthDays(date) {\n  var temp = new Date(date.getFullYear(), date.getMonth() + 1, 0);\n  var days = temp.getDate();\n  return range(days).map(function (_, index) {\n    return index + 1;\n  });\n};\nfunction setRangeData(arr, start, end, value) {\n  for (var i = start; i < end; i++) {\n    arr[i] = value;\n  }\n}\nvar getRangeMinutes = exports.getRangeMinutes = function getRangeMinutes(ranges, hour) {\n  var minutes = new Array(60);\n  if (ranges.length > 0) {\n    ranges.forEach(function (range) {\n      var start = range[0];\n      var end = range[1];\n      var startHour = start.getHours();\n      var startMinute = start.getMinutes();\n      var endHour = end.getHours();\n      var endMinute = end.getMinutes();\n      if (startHour === hour && endHour !== hour) {\n        setRangeData(minutes, startMinute, 60, true);\n      } else if (startHour === hour && endHour === hour) {\n        setRangeData(minutes, startMinute, endMinute + 1, true);\n      } else if (startHour !== hour && endHour === hour) {\n        setRangeData(minutes, 0, endMinute + 1, true);\n      } else if (startHour < hour && endHour > hour) {\n        setRangeData(minutes, 0, 60, true);\n      }\n    });\n  } else {\n    setRangeData(minutes, 0, 60, true);\n  }\n  return minutes;\n};\nvar range = exports.range = function range(n) {\n  // see https://stackoverflow.com/questions/3746725/create-a-javascript-array-containing-1-n\n  return Array.apply(null, {\n    length: n\n  }).map(function (_, n) {\n    return n;\n  });\n};\nvar modifyDate = exports.modifyDate = function modifyDate(date, y, m, d) {\n  return new Date(y, m, d, date.getHours(), date.getMinutes(), date.getSeconds(), date.getMilliseconds());\n};\nvar modifyTime = exports.modifyTime = function modifyTime(date, h, m, s) {\n  return new Date(date.getFullYear(), date.getMonth(), date.getDate(), h, m, s, date.getMilliseconds());\n};\nvar modifyWithTimeString = exports.modifyWithTimeString = function modifyWithTimeString(date, time) {\n  if (date == null || !time) {\n    return date;\n  }\n  time = parseDate(time, 'HH:mm:ss');\n  return modifyTime(date, time.getHours(), time.getMinutes(), time.getSeconds());\n};\nvar clearTime = exports.clearTime = function clearTime(date) {\n  return new Date(date.getFullYear(), date.getMonth(), date.getDate());\n};\nvar clearMilliseconds = exports.clearMilliseconds = function clearMilliseconds(date) {\n  return new Date(date.getFullYear(), date.getMonth(), date.getDate(), date.getHours(), date.getMinutes(), date.getSeconds(), 0);\n};\nvar limitTimeRange = exports.limitTimeRange = function limitTimeRange(date, ranges) {\n  var format = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 'HH:mm:ss';\n\n  // TODO: refactory a more elegant solution\n  if (ranges.length === 0) return date;\n  var normalizeDate = function normalizeDate(date) {\n    return _date2.default.parse(_date2.default.format(date, format), format);\n  };\n  var ndate = normalizeDate(date);\n  var nranges = ranges.map(function (range) {\n    return range.map(normalizeDate);\n  });\n  if (nranges.some(function (nrange) {\n    return ndate >= nrange[0] && ndate <= nrange[1];\n  })) return date;\n  var minDate = nranges[0][0];\n  var maxDate = nranges[0][0];\n  nranges.forEach(function (nrange) {\n    minDate = new Date(Math.min(nrange[0], minDate));\n    maxDate = new Date(Math.max(nrange[1], minDate));\n  });\n  var ret = ndate < minDate ? minDate : maxDate;\n  // preserve Year/Month/Date\n  return modifyDate(ret, date.getFullYear(), date.getMonth(), date.getDate());\n};\nvar timeWithinRange = exports.timeWithinRange = function timeWithinRange(date, selectableRange, format) {\n  var limitedDate = limitTimeRange(date, selectableRange, format);\n  return limitedDate.getTime() === date.getTime();\n};\nvar changeYearMonthAndClampDate = exports.changeYearMonthAndClampDate = function changeYearMonthAndClampDate(date, year, month) {\n  // clamp date to the number of days in `year`, `month`\n  // eg: (2010-1-31, 2010, 2) => 2010-2-28\n  var monthDate = Math.min(date.getDate(), getDayCountOfMonth(year, month));\n  return modifyDate(date, year, month, monthDate);\n};\nvar prevMonth = exports.prevMonth = function prevMonth(date) {\n  var year = date.getFullYear();\n  var month = date.getMonth();\n  return month === 0 ? changeYearMonthAndClampDate(date, year - 1, 11) : changeYearMonthAndClampDate(date, year, month - 1);\n};\nvar nextMonth = exports.nextMonth = function nextMonth(date) {\n  var year = date.getFullYear();\n  var month = date.getMonth();\n  return month === 11 ? changeYearMonthAndClampDate(date, year + 1, 0) : changeYearMonthAndClampDate(date, year, month + 1);\n};\nvar prevYear = exports.prevYear = function prevYear(date) {\n  var amount = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 1;\n  var year = date.getFullYear();\n  var month = date.getMonth();\n  return changeYearMonthAndClampDate(date, year - amount, month);\n};\nvar nextYear = exports.nextYear = function nextYear(date) {\n  var amount = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 1;\n  var year = date.getFullYear();\n  var month = date.getMonth();\n  return changeYearMonthAndClampDate(date, year + amount, month);\n};\nvar extractDateFormat = exports.extractDateFormat = function extractDateFormat(format) {\n  return format.replace(/\\W?m{1,2}|\\W?ZZ/g, '').replace(/\\W?h{1,2}|\\W?s{1,3}|\\W?a/gi, '').trim();\n};\nvar extractTimeFormat = exports.extractTimeFormat = function extractTimeFormat(format) {\n  return format.replace(/\\W?D{1,2}|\\W?Do|\\W?d{1,4}|\\W?M{1,4}|\\W?y{2,4}/g, '').trim();\n};\nvar validateRangeInOneMonth = exports.validateRangeInOneMonth = function validateRangeInOneMonth(start, end) {\n  return start.getMonth() === end.getMonth() && start.getFullYear() === end.getFullYear();\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/date-util.js?");
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-/***/ }),
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-/***/ "./node_modules/element-ui/lib/utils/date.js":
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-  !*** ./node_modules/element-ui/lib/utils/date.js ***!
-  \***************************************************/
-/***/ (function(module, exports, __webpack_require__) {
-
-"use strict";
-eval("var __WEBPACK_AMD_DEFINE_RESULT__;\n\n/* Modified from https://github.com/taylorhakes/fecha\n *\n * The MIT License (MIT)\n *\n * Copyright (c) 2015 Taylor Hakes\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to deal\n * in the Software without restriction, including without limitation the rights\n * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n * copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n *     The above copyright notice and this permission notice shall be included in all\n * copies or substantial portions of the Software.\n *\n *     THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n *     FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n *     OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n * SOFTWARE.\n */\n\n/*eslint-disable*/\n// 把 YYYY-MM-DD 改成了 yyyy-MM-dd\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n(function (main) {\n  'use strict';\n\n  /**\n   * Parse or format dates\n   * @class fecha\n   */\n  var fecha = {};\n  var token = /d{1,4}|M{1,4}|yy(?:yy)?|S{1,3}|Do|ZZ|([HhMsDm])\\1?|[aA]|\"[^\"]*\"|'[^']*'/g;\n  var twoDigits = '\\\\d\\\\d?';\n  var threeDigits = '\\\\d{3}';\n  var fourDigits = '\\\\d{4}';\n  var word = '[^\\\\s]+';\n  var literal = /\\[([^]*?)\\]/gm;\n  var noop = function noop() {};\n  function regexEscape(str) {\n    return str.replace(/[|\\\\{()[^$+*?.-]/g, '\\\\$&');\n  }\n  function shorten(arr, sLen) {\n    var newArr = [];\n    for (var i = 0, len = arr.length; i < len; i++) {\n      newArr.push(arr[i].substr(0, sLen));\n    }\n    return newArr;\n  }\n  function monthUpdate(arrName) {\n    return function (d, v, i18n) {\n      var index = i18n[arrName].indexOf(v.charAt(0).toUpperCase() + v.substr(1).toLowerCase());\n      if (~index) {\n        d.month = index;\n      }\n    };\n  }\n  function pad(val, len) {\n    val = String(val);\n    len = len || 2;\n    while (val.length < len) {\n      val = '0' + val;\n    }\n    return val;\n  }\n  var dayNames = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday'];\n  var monthNames = ['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'];\n  var monthNamesShort = shorten(monthNames, 3);\n  var dayNamesShort = shorten(dayNames, 3);\n  fecha.i18n = {\n    dayNamesShort: dayNamesShort,\n    dayNames: dayNames,\n    monthNamesShort: monthNamesShort,\n    monthNames: monthNames,\n    amPm: ['am', 'pm'],\n    DoFn: function DoFn(D) {\n      return D + ['th', 'st', 'nd', 'rd'][D % 10 > 3 ? 0 : (D - D % 10 !== 10) * D % 10];\n    }\n  };\n  var formatFlags = {\n    D: function D(dateObj) {\n      return dateObj.getDay();\n    },\n    DD: function DD(dateObj) {\n      return pad(dateObj.getDay());\n    },\n    Do: function Do(dateObj, i18n) {\n      return i18n.DoFn(dateObj.getDate());\n    },\n    d: function d(dateObj) {\n      return dateObj.getDate();\n    },\n    dd: function dd(dateObj) {\n      return pad(dateObj.getDate());\n    },\n    ddd: function ddd(dateObj, i18n) {\n      return i18n.dayNamesShort[dateObj.getDay()];\n    },\n    dddd: function dddd(dateObj, i18n) {\n      return i18n.dayNames[dateObj.getDay()];\n    },\n    M: function M(dateObj) {\n      return dateObj.getMonth() + 1;\n    },\n    MM: function MM(dateObj) {\n      return pad(dateObj.getMonth() + 1);\n    },\n    MMM: function MMM(dateObj, i18n) {\n      return i18n.monthNamesShort[dateObj.getMonth()];\n    },\n    MMMM: function MMMM(dateObj, i18n) {\n      return i18n.monthNames[dateObj.getMonth()];\n    },\n    yy: function yy(dateObj) {\n      return pad(String(dateObj.getFullYear()), 4).substr(2);\n    },\n    yyyy: function yyyy(dateObj) {\n      return pad(dateObj.getFullYear(), 4);\n    },\n    h: function h(dateObj) {\n      return dateObj.getHours() % 12 || 12;\n    },\n    hh: function hh(dateObj) {\n      return pad(dateObj.getHours() % 12 || 12);\n    },\n    H: function H(dateObj) {\n      return dateObj.getHours();\n    },\n    HH: function HH(dateObj) {\n      return pad(dateObj.getHours());\n    },\n    m: function m(dateObj) {\n      return dateObj.getMinutes();\n    },\n    mm: function mm(dateObj) {\n      return pad(dateObj.getMinutes());\n    },\n    s: function s(dateObj) {\n      return dateObj.getSeconds();\n    },\n    ss: function ss(dateObj) {\n      return pad(dateObj.getSeconds());\n    },\n    S: function S(dateObj) {\n      return Math.round(dateObj.getMilliseconds() / 100);\n    },\n    SS: function SS(dateObj) {\n      return pad(Math.round(dateObj.getMilliseconds() / 10), 2);\n    },\n    SSS: function SSS(dateObj) {\n      return pad(dateObj.getMilliseconds(), 3);\n    },\n    a: function a(dateObj, i18n) {\n      return dateObj.getHours() < 12 ? i18n.amPm[0] : i18n.amPm[1];\n    },\n    A: function A(dateObj, i18n) {\n      return dateObj.getHours() < 12 ? i18n.amPm[0].toUpperCase() : i18n.amPm[1].toUpperCase();\n    },\n    ZZ: function ZZ(dateObj) {\n      var o = dateObj.getTimezoneOffset();\n      return (o > 0 ? '-' : '+') + pad(Math.floor(Math.abs(o) / 60) * 100 + Math.abs(o) % 60, 4);\n    }\n  };\n  var parseFlags = {\n    d: [twoDigits, function (d, v) {\n      d.day = v;\n    }],\n    Do: [twoDigits + word, function (d, v) {\n      d.day = parseInt(v, 10);\n    }],\n    M: [twoDigits, function (d, v) {\n      d.month = v - 1;\n    }],\n    yy: [twoDigits, function (d, v) {\n      var da = new Date(),\n        cent = +('' + da.getFullYear()).substr(0, 2);\n      d.year = '' + (v > 68 ? cent - 1 : cent) + v;\n    }],\n    h: [twoDigits, function (d, v) {\n      d.hour = v;\n    }],\n    m: [twoDigits, function (d, v) {\n      d.minute = v;\n    }],\n    s: [twoDigits, function (d, v) {\n      d.second = v;\n    }],\n    yyyy: [fourDigits, function (d, v) {\n      d.year = v;\n    }],\n    S: ['\\\\d', function (d, v) {\n      d.millisecond = v * 100;\n    }],\n    SS: ['\\\\d{2}', function (d, v) {\n      d.millisecond = v * 10;\n    }],\n    SSS: [threeDigits, function (d, v) {\n      d.millisecond = v;\n    }],\n    D: [twoDigits, noop],\n    ddd: [word, noop],\n    MMM: [word, monthUpdate('monthNamesShort')],\n    MMMM: [word, monthUpdate('monthNames')],\n    a: [word, function (d, v, i18n) {\n      var val = v.toLowerCase();\n      if (val === i18n.amPm[0]) {\n        d.isPm = false;\n      } else if (val === i18n.amPm[1]) {\n        d.isPm = true;\n      }\n    }],\n    ZZ: ['[^\\\\s]*?[\\\\+\\\\-]\\\\d\\\\d:?\\\\d\\\\d|[^\\\\s]*?Z', function (d, v) {\n      var parts = (v + '').match(/([+-]|\\d\\d)/gi),\n        minutes;\n      if (parts) {\n        minutes = +(parts[1] * 60) + parseInt(parts[2], 10);\n        d.timezoneOffset = parts[0] === '+' ? minutes : -minutes;\n      }\n    }]\n  };\n  parseFlags.dd = parseFlags.d;\n  parseFlags.dddd = parseFlags.ddd;\n  parseFlags.DD = parseFlags.D;\n  parseFlags.mm = parseFlags.m;\n  parseFlags.hh = parseFlags.H = parseFlags.HH = parseFlags.h;\n  parseFlags.MM = parseFlags.M;\n  parseFlags.ss = parseFlags.s;\n  parseFlags.A = parseFlags.a;\n\n  // Some common format strings\n  fecha.masks = {\n    default: 'ddd MMM dd yyyy HH:mm:ss',\n    shortDate: 'M/D/yy',\n    mediumDate: 'MMM d, yyyy',\n    longDate: 'MMMM d, yyyy',\n    fullDate: 'dddd, MMMM d, yyyy',\n    shortTime: 'HH:mm',\n    mediumTime: 'HH:mm:ss',\n    longTime: 'HH:mm:ss.SSS'\n  };\n\n  /***\n   * Format a date\n   * @method format\n   * @param {Date|number} dateObj\n   * @param {string} mask Format of the date, i.e. 'mm-dd-yy' or 'shortDate'\n   */\n  fecha.format = function (dateObj, mask, i18nSettings) {\n    var i18n = i18nSettings || fecha.i18n;\n    if (typeof dateObj === 'number') {\n      dateObj = new Date(dateObj);\n    }\n    if (Object.prototype.toString.call(dateObj) !== '[object Date]' || isNaN(dateObj.getTime())) {\n      throw new Error('Invalid Date in fecha.format');\n    }\n    mask = fecha.masks[mask] || mask || fecha.masks['default'];\n    var literals = [];\n\n    // Make literals inactive by replacing them with ??\n    mask = mask.replace(literal, function ($0, $1) {\n      literals.push($1);\n      return '@@@';\n    });\n    // Apply formatting rules\n    mask = mask.replace(token, function ($0) {\n      return $0 in formatFlags ? formatFlags[$0](dateObj, i18n) : $0.slice(1, $0.length - 1);\n    });\n    // Inline literal values back into the formatted value\n    return mask.replace(/@@@/g, function () {\n      return literals.shift();\n    });\n  };\n\n  /**\n   * Parse a date string into an object, changes - into /\n   * @method parse\n   * @param {string} dateStr Date string\n   * @param {string} format Date parse format\n   * @returns {Date|boolean}\n   */\n  fecha.parse = function (dateStr, format, i18nSettings) {\n    var i18n = i18nSettings || fecha.i18n;\n    if (typeof format !== 'string') {\n      throw new Error('Invalid format in fecha.parse');\n    }\n    format = fecha.masks[format] || format;\n\n    // Avoid regular expression denial of service, fail early for really long strings\n    // https://www.owasp.org/index.php/Regular_expression_Denial_of_Service_-_ReDoS\n    if (dateStr.length > 1000) {\n      return null;\n    }\n    var dateInfo = {};\n    var parseInfo = [];\n    var literals = [];\n    format = format.replace(literal, function ($0, $1) {\n      literals.push($1);\n      return '@@@';\n    });\n    var newFormat = regexEscape(format).replace(token, function ($0) {\n      if (parseFlags[$0]) {\n        var info = parseFlags[$0];\n        parseInfo.push(info[1]);\n        return '(' + info[0] + ')';\n      }\n      return $0;\n    });\n    newFormat = newFormat.replace(/@@@/g, function () {\n      return literals.shift();\n    });\n    var matches = dateStr.match(new RegExp(newFormat, 'i'));\n    if (!matches) {\n      return null;\n    }\n    for (var i = 1; i < matches.length; i++) {\n      parseInfo[i - 1](dateInfo, matches[i], i18n);\n    }\n    var today = new Date();\n    if (dateInfo.isPm === true && dateInfo.hour != null && +dateInfo.hour !== 12) {\n      dateInfo.hour = +dateInfo.hour + 12;\n    } else if (dateInfo.isPm === false && +dateInfo.hour === 12) {\n      dateInfo.hour = 0;\n    }\n    var date;\n    if (dateInfo.timezoneOffset != null) {\n      dateInfo.minute = +(dateInfo.minute || 0) - +dateInfo.timezoneOffset;\n      date = new Date(Date.UTC(dateInfo.year || today.getFullYear(), dateInfo.month || 0, dateInfo.day || 1, dateInfo.hour || 0, dateInfo.minute || 0, dateInfo.second || 0, dateInfo.millisecond || 0));\n    } else {\n      date = new Date(dateInfo.year || today.getFullYear(), dateInfo.month || 0, dateInfo.day || 1, dateInfo.hour || 0, dateInfo.minute || 0, dateInfo.second || 0, dateInfo.millisecond || 0);\n    }\n    return date;\n  };\n\n  /* istanbul ignore next */\n  if ( true && module.exports) {\n    module.exports = fecha;\n  } else if (true) {\n    !(__WEBPACK_AMD_DEFINE_RESULT__ = (function () {\n      return fecha;\n    }).call(exports, __webpack_require__, exports, module),\n\t\t__WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__));\n  } else {}\n})(undefined);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/date.js?");
-
-/***/ }),
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-/***/ "./node_modules/element-ui/lib/utils/dom.js":
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-  !*** ./node_modules/element-ui/lib/utils/dom.js ***!
-  \**************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
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-"use strict";
-eval("\n\nexports.__esModule = true;\nexports.isInContainer = exports.getScrollContainer = exports.isScroll = exports.getStyle = exports.once = exports.off = exports.on = undefined;\nvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n  return typeof obj;\n} : function (obj) {\n  return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n}; /* istanbul ignore next */\n\nexports.hasClass = hasClass;\nexports.addClass = addClass;\nexports.removeClass = removeClass;\nexports.setStyle = setStyle;\nvar _vue = __webpack_require__(/*! vue */ \"./node_modules/vue/dist/vue.runtime.esm.js\");\nvar _vue2 = _interopRequireDefault(_vue);\nfunction _interopRequireDefault(obj) {\n  return obj && obj.__esModule ? obj : {\n    default: obj\n  };\n}\nvar isServer = _vue2.default.prototype.$isServer;\nvar SPECIAL_CHARS_REGEXP = /([\\:\\-\\_]+(.))/g;\nvar MOZ_HACK_REGEXP = /^moz([A-Z])/;\nvar ieVersion = isServer ? 0 : Number(document.documentMode);\n\n/* istanbul ignore next */\nvar trim = function trim(string) {\n  return (string || '').replace(/^[\\s\\uFEFF]+|[\\s\\uFEFF]+$/g, '');\n};\n/* istanbul ignore next */\nvar camelCase = function camelCase(name) {\n  return name.replace(SPECIAL_CHARS_REGEXP, function (_, separator, letter, offset) {\n    return offset ? letter.toUpperCase() : letter;\n  }).replace(MOZ_HACK_REGEXP, 'Moz$1');\n};\n\n/* istanbul ignore next */\nvar on = exports.on = function () {\n  if (!isServer && document.addEventListener) {\n    return function (element, event, handler) {\n      if (element && event && handler) {\n        element.addEventListener(event, handler, false);\n      }\n    };\n  } else {\n    return function (element, event, handler) {\n      if (element && event && handler) {\n        element.attachEvent('on' + event, handler);\n      }\n    };\n  }\n}();\n\n/* istanbul ignore next */\nvar off = exports.off = function () {\n  if (!isServer && document.removeEventListener) {\n    return function (element, event, handler) {\n      if (element && event) {\n        element.removeEventListener(event, handler, false);\n      }\n    };\n  } else {\n    return function (element, event, handler) {\n      if (element && event) {\n        element.detachEvent('on' + event, handler);\n      }\n    };\n  }\n}();\n\n/* istanbul ignore next */\nvar once = exports.once = function once(el, event, fn) {\n  var listener = function listener() {\n    if (fn) {\n      fn.apply(this, arguments);\n    }\n    off(el, event, listener);\n  };\n  on(el, event, listener);\n};\n\n/* istanbul ignore next */\nfunction hasClass(el, cls) {\n  if (!el || !cls) return false;\n  if (cls.indexOf(' ') !== -1) throw new Error('className should not contain space.');\n  if (el.classList) {\n    return el.classList.contains(cls);\n  } else {\n    return (' ' + el.className + ' ').indexOf(' ' + cls + ' ') > -1;\n  }\n}\n;\n\n/* istanbul ignore next */\nfunction addClass(el, cls) {\n  if (!el) return;\n  var curClass = el.className;\n  var classes = (cls || '').split(' ');\n  for (var i = 0, j = classes.length; i < j; i++) {\n    var clsName = classes[i];\n    if (!clsName) continue;\n    if (el.classList) {\n      el.classList.add(clsName);\n    } else if (!hasClass(el, clsName)) {\n      curClass += ' ' + clsName;\n    }\n  }\n  if (!el.classList) {\n    el.setAttribute('class', curClass);\n  }\n}\n;\n\n/* istanbul ignore next */\nfunction removeClass(el, cls) {\n  if (!el || !cls) return;\n  var classes = cls.split(' ');\n  var curClass = ' ' + el.className + ' ';\n  for (var i = 0, j = classes.length; i < j; i++) {\n    var clsName = classes[i];\n    if (!clsName) continue;\n    if (el.classList) {\n      el.classList.remove(clsName);\n    } else if (hasClass(el, clsName)) {\n      curClass = curClass.replace(' ' + clsName + ' ', ' ');\n    }\n  }\n  if (!el.classList) {\n    el.setAttribute('class', trim(curClass));\n  }\n}\n;\n\n/* istanbul ignore next */\nvar getStyle = exports.getStyle = ieVersion < 9 ? function (element, styleName) {\n  if (isServer) return;\n  if (!element || !styleName) return null;\n  styleName = camelCase(styleName);\n  if (styleName === 'float') {\n    styleName = 'styleFloat';\n  }\n  try {\n    switch (styleName) {\n      case 'opacity':\n        try {\n          return element.filters.item('alpha').opacity / 100;\n        } catch (e) {\n          return 1.0;\n        }\n      default:\n        return element.style[styleName] || element.currentStyle ? element.currentStyle[styleName] : null;\n    }\n  } catch (e) {\n    return element.style[styleName];\n  }\n} : function (element, styleName) {\n  if (isServer) return;\n  if (!element || !styleName) return null;\n  styleName = camelCase(styleName);\n  if (styleName === 'float') {\n    styleName = 'cssFloat';\n  }\n  try {\n    var computed = document.defaultView.getComputedStyle(element, '');\n    return element.style[styleName] || computed ? computed[styleName] : null;\n  } catch (e) {\n    return element.style[styleName];\n  }\n};\n\n/* istanbul ignore next */\nfunction setStyle(element, styleName, value) {\n  if (!element || !styleName) return;\n  if ((typeof styleName === 'undefined' ? 'undefined' : _typeof(styleName)) === 'object') {\n    for (var prop in styleName) {\n      if (styleName.hasOwnProperty(prop)) {\n        setStyle(element, prop, styleName[prop]);\n      }\n    }\n  } else {\n    styleName = camelCase(styleName);\n    if (styleName === 'opacity' && ieVersion < 9) {\n      element.style.filter = isNaN(value) ? '' : 'alpha(opacity=' + value * 100 + ')';\n    } else {\n      element.style[styleName] = value;\n    }\n  }\n}\n;\nvar isScroll = exports.isScroll = function isScroll(el, vertical) {\n  if (isServer) return;\n  var determinedDirection = vertical !== null && vertical !== undefined;\n  var overflow = determinedDirection ? vertical ? getStyle(el, 'overflow-y') : getStyle(el, 'overflow-x') : getStyle(el, 'overflow');\n  return overflow.match(/(scroll|auto|overlay)/);\n};\nvar getScrollContainer = exports.getScrollContainer = function getScrollContainer(el, vertical) {\n  if (isServer) return;\n  var parent = el;\n  while (parent) {\n    if ([window, document, document.documentElement].includes(parent)) {\n      return window;\n    }\n    if (isScroll(parent, vertical)) {\n      return parent;\n    }\n    parent = parent.parentNode;\n  }\n  return parent;\n};\nvar isInContainer = exports.isInContainer = function isInContainer(el, container) {\n  if (isServer || !el || !container) return false;\n  var elRect = el.getBoundingClientRect();\n  var containerRect = void 0;\n  if ([window, document, document.documentElement, null, undefined].includes(container)) {\n    containerRect = {\n      top: 0,\n      right: window.innerWidth,\n      bottom: window.innerHeight,\n      left: 0\n    };\n  } else {\n    containerRect = container.getBoundingClientRect();\n  }\n  return elRect.top < containerRect.bottom && elRect.bottom > containerRect.top && elRect.right > containerRect.left && elRect.left < containerRect.right;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/dom.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/utils/lodash.js":
-/*!*****************************************************!*\
-  !*** ./node_modules/element-ui/lib/utils/lodash.js ***!
-  \*****************************************************/
-/***/ (function(module, exports, __webpack_require__) {
-
-"use strict";
-eval("/* module decorator */ module = __webpack_require__.nmd(module);\nvar __WEBPACK_AMD_DEFINE_RESULT__;__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");var _typeof=typeof Symbol===\"function\"&&typeof Symbol.iterator===\"symbol\"?function(obj){return typeof obj;}:function(obj){return obj&&typeof Symbol===\"function\"&&obj.constructor===Symbol&&obj!==Symbol.prototype?\"symbol\":typeof obj;};/**\n * @license\n * Lodash <https://lodash.com/>\n * Copyright JS Foundation and other contributors <https://js.foundation/>\n * Released under MIT license <https://lodash.com/license>\n * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>\n * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n */ /*eslint-disable*/(function(){/** Used as a safe reference for `undefined` in pre-ES5 environments. */var undefined;/** Used as the semantic version number. */var VERSION='4.17.10';/** Used as the size to enable large array optimizations. */var LARGE_ARRAY_SIZE=200;/** Error message constants. */var CORE_ERROR_TEXT='Unsupported core-js use. Try https://npms.io/search?q=ponyfill.',FUNC_ERROR_TEXT='Expected a function';/** Used to stand-in for `undefined` hash values. */var HASH_UNDEFINED='__lodash_hash_undefined__';/** Used as the maximum memoize cache size. */var MAX_MEMOIZE_SIZE=500;/** Used as the internal argument placeholder. */var PLACEHOLDER='__lodash_placeholder__';/** Used to compose bitmasks for cloning. */var CLONE_DEEP_FLAG=1,CLONE_FLAT_FLAG=2,CLONE_SYMBOLS_FLAG=4;/** Used to compose bitmasks for value comparisons. */var COMPARE_PARTIAL_FLAG=1,COMPARE_UNORDERED_FLAG=2;/** Used to compose bitmasks for function metadata. */var WRAP_BIND_FLAG=1,WRAP_BIND_KEY_FLAG=2,WRAP_CURRY_BOUND_FLAG=4,WRAP_CURRY_FLAG=8,WRAP_CURRY_RIGHT_FLAG=16,WRAP_PARTIAL_FLAG=32,WRAP_PARTIAL_RIGHT_FLAG=64,WRAP_ARY_FLAG=128,WRAP_REARG_FLAG=256,WRAP_FLIP_FLAG=512;/** Used as default options for `_.truncate`. */var DEFAULT_TRUNC_LENGTH=30,DEFAULT_TRUNC_OMISSION='...';/** Used to detect hot functions by number of calls within a span of milliseconds. */var HOT_COUNT=800,HOT_SPAN=16;/** Used to indicate the type of lazy iteratees. */var LAZY_FILTER_FLAG=1,LAZY_MAP_FLAG=2,LAZY_WHILE_FLAG=3;/** Used as references for various `Number` constants. */var INFINITY=1/0,MAX_SAFE_INTEGER=9007199254740991,MAX_INTEGER=1.7976931348623157e308,NAN=0/0;/** Used as references for the maximum length and index of an array. */var MAX_ARRAY_LENGTH=4294967295,MAX_ARRAY_INDEX=MAX_ARRAY_LENGTH-1,HALF_MAX_ARRAY_LENGTH=MAX_ARRAY_LENGTH>>>1;/** Used to associate wrap methods with their bit flags. */var wrapFlags=[['ary',WRAP_ARY_FLAG],['bind',WRAP_BIND_FLAG],['bindKey',WRAP_BIND_KEY_FLAG],['curry',WRAP_CURRY_FLAG],['curryRight',WRAP_CURRY_RIGHT_FLAG],['flip',WRAP_FLIP_FLAG],['partial',WRAP_PARTIAL_FLAG],['partialRight',WRAP_PARTIAL_RIGHT_FLAG],['rearg',WRAP_REARG_FLAG]];/** `Object#toString` result references. */var argsTag='[object Arguments]',arrayTag='[object Array]',asyncTag='[object AsyncFunction]',boolTag='[object Boolean]',dateTag='[object Date]',domExcTag='[object DOMException]',errorTag='[object Error]',funcTag='[object Function]',genTag='[object GeneratorFunction]',mapTag='[object Map]',numberTag='[object Number]',nullTag='[object Null]',objectTag='[object Object]',promiseTag='[object Promise]',proxyTag='[object Proxy]',regexpTag='[object RegExp]',setTag='[object Set]',stringTag='[object String]',symbolTag='[object Symbol]',undefinedTag='[object Undefined]',weakMapTag='[object WeakMap]',weakSetTag='[object WeakSet]';var arrayBufferTag='[object ArrayBuffer]',dataViewTag='[object DataView]',float32Tag='[object Float32Array]',float64Tag='[object Float64Array]',int8Tag='[object Int8Array]',int16Tag='[object Int16Array]',int32Tag='[object Int32Array]',uint8Tag='[object Uint8Array]',uint8ClampedTag='[object Uint8ClampedArray]',uint16Tag='[object Uint16Array]',uint32Tag='[object Uint32Array]';/** Used to match empty string literals in compiled template source. */var reEmptyStringLeading=/\\b__p \\+= '';/g,reEmptyStringMiddle=/\\b(__p \\+=) '' \\+/g,reEmptyStringTrailing=/(__e\\(.*?\\)|\\b__t\\)) \\+\\n'';/g;/** Used to match HTML entities and HTML characters. */var reEscapedHtml=/&(?:amp|lt|gt|quot|#39);/g,reUnescapedHtml=/[&<>\"']/g,reHasEscapedHtml=RegExp(reEscapedHtml.source),reHasUnescapedHtml=RegExp(reUnescapedHtml.source);/** Used to match template delimiters. */var reEscape=/<%-([\\s\\S]+?)%>/g,reEvaluate=/<%([\\s\\S]+?)%>/g,reInterpolate=/<%=([\\s\\S]+?)%>/g;/** Used to match property names within property paths. */var reIsDeepProp=/\\.|\\[(?:[^[\\]]*|([\"'])(?:(?!\\1)[^\\\\]|\\\\.)*?\\1)\\]/,reIsPlainProp=/^\\w*$/,rePropName=/[^.[\\]]+|\\[(?:(-?\\d+(?:\\.\\d+)?)|([\"'])((?:(?!\\2)[^\\\\]|\\\\.)*?)\\2)\\]|(?=(?:\\.|\\[\\])(?:\\.|\\[\\]|$))/g;/**\n     * Used to match `RegExp`\n     * [syntax characters](http://ecma-international.org/ecma-262/7.0/#sec-patterns).\n     */var reRegExpChar=/[\\\\^$.*+?()[\\]{}|]/g,reHasRegExpChar=RegExp(reRegExpChar.source);/** Used to match leading and trailing whitespace. */var reTrim=/^\\s+|\\s+$/g,reTrimStart=/^\\s+/,reTrimEnd=/\\s+$/;/** Used to match wrap detail comments. */var reWrapComment=/\\{(?:\\n\\/\\* \\[wrapped with .+\\] \\*\\/)?\\n?/,reWrapDetails=/\\{\\n\\/\\* \\[wrapped with (.+)\\] \\*/,reSplitDetails=/,? & /;/** Used to match words composed of alphanumeric characters. */var reAsciiWord=/[^\\x00-\\x2f\\x3a-\\x40\\x5b-\\x60\\x7b-\\x7f]+/g;/** Used to match backslashes in property paths. */var reEscapeChar=/\\\\(\\\\)?/g;/**\n     * Used to match\n     * [ES template delimiters](http://ecma-international.org/ecma-262/7.0/#sec-template-literal-lexical-components).\n     */var reEsTemplate=/\\$\\{([^\\\\}]*(?:\\\\.[^\\\\}]*)*)\\}/g;/** Used to match `RegExp` flags from their coerced string values. */var reFlags=/\\w*$/;/** Used to detect bad signed hexadecimal string values. */var reIsBadHex=/^[-+]0x[0-9a-f]+$/i;/** Used to detect binary string values. */var reIsBinary=/^0b[01]+$/i;/** Used to detect host constructors (Safari). */var reIsHostCtor=/^\\[object .+?Constructor\\]$/;/** Used to detect octal string values. */var reIsOctal=/^0o[0-7]+$/i;/** Used to detect unsigned integer values. */var reIsUint=/^(?:0|[1-9]\\d*)$/;/** Used to match Latin Unicode letters (excluding mathematical operators). */var reLatin=/[\\xc0-\\xd6\\xd8-\\xf6\\xf8-\\xff\\u0100-\\u017f]/g;/** Used to ensure capturing order of template delimiters. */var reNoMatch=/($^)/;/** Used to match unescaped characters in compiled string literals. */var reUnescapedString=/['\\n\\r\\u2028\\u2029\\\\]/g;/** Used to compose unicode character classes. */var rsAstralRange='\\\\ud800-\\\\udfff',rsComboMarksRange='\\\\u0300-\\\\u036f',reComboHalfMarksRange='\\\\ufe20-\\\\ufe2f',rsComboSymbolsRange='\\\\u20d0-\\\\u20ff',rsComboRange=rsComboMarksRange+reComboHalfMarksRange+rsComboSymbolsRange,rsDingbatRange='\\\\u2700-\\\\u27bf',rsLowerRange='a-z\\\\xdf-\\\\xf6\\\\xf8-\\\\xff',rsMathOpRange='\\\\xac\\\\xb1\\\\xd7\\\\xf7',rsNonCharRange='\\\\x00-\\\\x2f\\\\x3a-\\\\x40\\\\x5b-\\\\x60\\\\x7b-\\\\xbf',rsPunctuationRange='\\\\u2000-\\\\u206f',rsSpaceRange=' \\\\t\\\\x0b\\\\f\\\\xa0\\\\ufeff\\\\n\\\\r\\\\u2028\\\\u2029\\\\u1680\\\\u180e\\\\u2000\\\\u2001\\\\u2002\\\\u2003\\\\u2004\\\\u2005\\\\u2006\\\\u2007\\\\u2008\\\\u2009\\\\u200a\\\\u202f\\\\u205f\\\\u3000',rsUpperRange='A-Z\\\\xc0-\\\\xd6\\\\xd8-\\\\xde',rsVarRange='\\\\ufe0e\\\\ufe0f',rsBreakRange=rsMathOpRange+rsNonCharRange+rsPunctuationRange+rsSpaceRange;/** Used to compose unicode capture groups. */var rsApos='[\\'\\u2019]',rsAstral='['+rsAstralRange+']',rsBreak='['+rsBreakRange+']',rsCombo='['+rsComboRange+']',rsDigits='\\\\d+',rsDingbat='['+rsDingbatRange+']',rsLower='['+rsLowerRange+']',rsMisc='[^'+rsAstralRange+rsBreakRange+rsDigits+rsDingbatRange+rsLowerRange+rsUpperRange+']',rsFitz='\\\\ud83c[\\\\udffb-\\\\udfff]',rsModifier='(?:'+rsCombo+'|'+rsFitz+')',rsNonAstral='[^'+rsAstralRange+']',rsRegional='(?:\\\\ud83c[\\\\udde6-\\\\uddff]){2}',rsSurrPair='[\\\\ud800-\\\\udbff][\\\\udc00-\\\\udfff]',rsUpper='['+rsUpperRange+']',rsZWJ='\\\\u200d';/** Used to compose unicode regexes. */var rsMiscLower='(?:'+rsLower+'|'+rsMisc+')',rsMiscUpper='(?:'+rsUpper+'|'+rsMisc+')',rsOptContrLower='(?:'+rsApos+'(?:d|ll|m|re|s|t|ve))?',rsOptContrUpper='(?:'+rsApos+'(?:D|LL|M|RE|S|T|VE))?',reOptMod=rsModifier+'?',rsOptVar='['+rsVarRange+']?',rsOptJoin='(?:'+rsZWJ+'(?:'+[rsNonAstral,rsRegional,rsSurrPair].join('|')+')'+rsOptVar+reOptMod+')*',rsOrdLower='\\\\d*(?:1st|2nd|3rd|(?![123])\\\\dth)(?=\\\\b|[A-Z_])',rsOrdUpper='\\\\d*(?:1ST|2ND|3RD|(?![123])\\\\dTH)(?=\\\\b|[a-z_])',rsSeq=rsOptVar+reOptMod+rsOptJoin,rsEmoji='(?:'+[rsDingbat,rsRegional,rsSurrPair].join('|')+')'+rsSeq,rsSymbol='(?:'+[rsNonAstral+rsCombo+'?',rsCombo,rsRegional,rsSurrPair,rsAstral].join('|')+')';/** Used to match apostrophes. */var reApos=RegExp(rsApos,'g');/**\n     * Used to match [combining diacritical marks](https://en.wikipedia.org/wiki/Combining_Diacritical_Marks) and\n     * [combining diacritical marks for symbols](https://en.wikipedia.org/wiki/Combining_Diacritical_Marks_for_Symbols).\n     */var reComboMark=RegExp(rsCombo,'g');/** Used to match [string symbols](https://mathiasbynens.be/notes/javascript-unicode). */var reUnicode=RegExp(rsFitz+'(?='+rsFitz+')|'+rsSymbol+rsSeq,'g');/** Used to match complex or compound words. */var reUnicodeWord=RegExp([rsUpper+'?'+rsLower+'+'+rsOptContrLower+'(?='+[rsBreak,rsUpper,'$'].join('|')+')',rsMiscUpper+'+'+rsOptContrUpper+'(?='+[rsBreak,rsUpper+rsMiscLower,'$'].join('|')+')',rsUpper+'?'+rsMiscLower+'+'+rsOptContrLower,rsUpper+'+'+rsOptContrUpper,rsOrdUpper,rsOrdLower,rsDigits,rsEmoji].join('|'),'g');/** Used to detect strings with [zero-width joiners or code points from the astral planes](http://eev.ee/blog/2015/09/12/dark-corners-of-unicode/). */var reHasUnicode=RegExp('['+rsZWJ+rsAstralRange+rsComboRange+rsVarRange+']');/** Used to detect strings that need a more robust regexp to match words. */var reHasUnicodeWord=/[a-z][A-Z]|[A-Z]{2,}[a-z]|[0-9][a-zA-Z]|[a-zA-Z][0-9]|[^a-zA-Z0-9 ]/;/** Used to assign default `context` object properties. */var contextProps=['Array','Buffer','DataView','Date','Error','Float32Array','Float64Array','Function','Int8Array','Int16Array','Int32Array','Map','Math','Object','Promise','RegExp','Set','String','Symbol','TypeError','Uint8Array','Uint8ClampedArray','Uint16Array','Uint32Array','WeakMap','_','clearTimeout','isFinite','parseInt','setTimeout'];/** Used to make template sourceURLs easier to identify. */var templateCounter=-1;/** Used to identify `toStringTag` values of typed arrays. */var typedArrayTags={};typedArrayTags[float32Tag]=typedArrayTags[float64Tag]=typedArrayTags[int8Tag]=typedArrayTags[int16Tag]=typedArrayTags[int32Tag]=typedArrayTags[uint8Tag]=typedArrayTags[uint8ClampedTag]=typedArrayTags[uint16Tag]=typedArrayTags[uint32Tag]=true;typedArrayTags[argsTag]=typedArrayTags[arrayTag]=typedArrayTags[arrayBufferTag]=typedArrayTags[boolTag]=typedArrayTags[dataViewTag]=typedArrayTags[dateTag]=typedArrayTags[errorTag]=typedArrayTags[funcTag]=typedArrayTags[mapTag]=typedArrayTags[numberTag]=typedArrayTags[objectTag]=typedArrayTags[regexpTag]=typedArrayTags[setTag]=typedArrayTags[stringTag]=typedArrayTags[weakMapTag]=false;/** Used to identify `toStringTag` values supported by `_.clone`. */var cloneableTags={};cloneableTags[argsTag]=cloneableTags[arrayTag]=cloneableTags[arrayBufferTag]=cloneableTags[dataViewTag]=cloneableTags[boolTag]=cloneableTags[dateTag]=cloneableTags[float32Tag]=cloneableTags[float64Tag]=cloneableTags[int8Tag]=cloneableTags[int16Tag]=cloneableTags[int32Tag]=cloneableTags[mapTag]=cloneableTags[numberTag]=cloneableTags[objectTag]=cloneableTags[regexpTag]=cloneableTags[setTag]=cloneableTags[stringTag]=cloneableTags[symbolTag]=cloneableTags[uint8Tag]=cloneableTags[uint8ClampedTag]=cloneableTags[uint16Tag]=cloneableTags[uint32Tag]=true;cloneableTags[errorTag]=cloneableTags[funcTag]=cloneableTags[weakMapTag]=false;/** Used to map Latin Unicode letters to basic Latin letters. */var deburredLetters={// Latin-1 Supplement block.\nÀ:'A',Á:'A',Â:'A',Ã:'A',Ä:'A',Å:'A',à:'a',á:'a',â:'a',ã:'a',ä:'a',å:'a',Ç:'C',ç:'c',Ð:'D',ð:'d',È:'E',É:'E',Ê:'E',Ë:'E',è:'e',é:'e',ê:'e',ë:'e',Ì:'I',Í:'I',Î:'I',Ï:'I',ì:'i',í:'i',î:'i',ï:'i',Ñ:'N',ñ:'n',Ò:'O',Ó:'O',Ô:'O',Õ:'O',Ö:'O',Ø:'O',ò:'o',ó:'o',ô:'o',õ:'o',ö:'o',ø:'o',Ù:'U',Ú:'U',Û:'U',Ü:'U',ù:'u',ú:'u',û:'u',ü:'u',Ý:'Y',ý:'y',ÿ:'y',Æ:'Ae',æ:'ae',Þ:'Th',þ:'th',ß:'ss',// Latin Extended-A block.\nĀ:'A',Ă:'A',Ą:'A',ā:'a',ă:'a',ą:'a',Ć:'C',Ĉ:'C',Ċ:'C',Č:'C',ć:'c',ĉ:'c',ċ:'c',č:'c',Ď:'D',Đ:'D',ď:'d',đ:'d',Ē:'E',Ĕ:'E',Ė:'E',Ę:'E',Ě:'E',ē:'e',ĕ:'e',ė:'e',ę:'e',ě:'e',Ĝ:'G',Ğ:'G',Ġ:'G',Ģ:'G',ĝ:'g',ğ:'g',ġ:'g',ģ:'g',Ĥ:'H',Ħ:'H',ĥ:'h',ħ:'h',Ĩ:'I',Ī:'I',Ĭ:'I',Į:'I',İ:'I',ĩ:'i',ī:'i',ĭ:'i',į:'i',ı:'i',Ĵ:'J',ĵ:'j',Ķ:'K',ķ:'k',ĸ:'k',Ĺ:'L',Ļ:'L',Ľ:'L',Ŀ:'L',Ł:'L',ĺ:'l',ļ:'l',ľ:'l',ŀ:'l',ł:'l',Ń:'N',Ņ:'N',Ň:'N',Ŋ:'N',ń:'n',ņ:'n',ň:'n',ŋ:'n',Ō:'O',Ŏ:'O',Ő:'O',ō:'o',ŏ:'o',ő:'o',Ŕ:'R',Ŗ:'R',Ř:'R',ŕ:'r',ŗ:'r',ř:'r',Ś:'S',Ŝ:'S',Ş:'S',Š:'S',ś:'s',ŝ:'s',ş:'s',š:'s',Ţ:'T',Ť:'T',Ŧ:'T',ţ:'t',ť:'t',ŧ:'t',Ũ:'U',Ū:'U',Ŭ:'U',Ů:'U',Ű:'U',Ų:'U',ũ:'u',ū:'u',ŭ:'u',ů:'u',ű:'u',ų:'u',Ŵ:'W',ŵ:'w',Ŷ:'Y',ŷ:'y',Ÿ:'Y',Ź:'Z',Ż:'Z',Ž:'Z',ź:'z',ż:'z',ž:'z',IJ:'IJ',ij:'ij',Œ:'Oe',œ:'oe',ʼn:\"'n\",ſ:'s'};/** Used to map characters to HTML entities. */var htmlEscapes={'&':'&amp;','<':'&lt;','>':'&gt;','\"':'&quot;',\"'\":'&#39;'};/** Used to map HTML entities to characters. */var htmlUnescapes={'&amp;':'&','&lt;':'<','&gt;':'>','&quot;':'\"','&#39;':\"'\"};/** Used to escape characters for inclusion in compiled string literals. */var stringEscapes={'\\\\':'\\\\',\"'\":\"'\",'\\n':'n','\\r':'r','\\u2028':'u2028','\\u2029':'u2029'};/** Built-in method references without a dependency on `root`. */var freeParseFloat=parseFloat,freeParseInt=parseInt;/** Detect free variable `global` from Node.js. */var freeGlobal=(typeof __webpack_require__.g==='undefined'?'undefined':_typeof(__webpack_require__.g))==='object'&&__webpack_require__.g&&__webpack_require__.g.Object===Object&&__webpack_require__.g;/** Detect free variable `self`. */var freeSelf=(typeof self==='undefined'?'undefined':_typeof(self))==='object'&&self&&self.Object===Object&&self;/** Used as a reference to the global object. */var root=freeGlobal||freeSelf||Function('return this')();/** Detect free variable `exports`. */var freeExports=( false?0:_typeof(exports))==='object'&&exports&&!exports.nodeType&&exports;/** Detect free variable `module`. */var freeModule=freeExports&&( false?0:_typeof(module))==='object'&&module&&!module.nodeType&&module;/** Detect the popular CommonJS extension `module.exports`. */var moduleExports=freeModule&&freeModule.exports===freeExports;/** Detect free variable `process` from Node.js. */var freeProcess=moduleExports&&freeGlobal.process;/** Used to access faster Node.js helpers. */var nodeUtil=function(){try{// Use `util.types` for Node.js 10+.\nvar types=freeModule&&freeModule.require&&freeModule.require('util').types;if(types){return types;}// Legacy `process.binding('util')` for Node.js < 10.\nreturn freeProcess&&freeProcess.binding&&freeProcess.binding('util');}catch(e){}}();/* Node.js helper references. */var nodeIsArrayBuffer=nodeUtil&&nodeUtil.isArrayBuffer,nodeIsDate=nodeUtil&&nodeUtil.isDate,nodeIsMap=nodeUtil&&nodeUtil.isMap,nodeIsRegExp=nodeUtil&&nodeUtil.isRegExp,nodeIsSet=nodeUtil&&nodeUtil.isSet,nodeIsTypedArray=nodeUtil&&nodeUtil.isTypedArray;/* --------------------------------------------------------------------------*/ /**\n     * A faster alternative to `Function#apply`, this function invokes `func`\n     * with the `this` binding of `thisArg` and the arguments of `args`.\n     *\n     * @private\n     * @param {Function} func The function to invoke.\n     * @param {*} thisArg The `this` binding of `func`.\n     * @param {Array} args The arguments to invoke `func` with.\n     * @returns {*} Returns the result of `func`.\n     */function apply(func,thisArg,args){switch(args.length){case 0:return func.call(thisArg);case 1:return func.call(thisArg,args[0]);case 2:return func.call(thisArg,args[0],args[1]);case 3:return func.call(thisArg,args[0],args[1],args[2]);}return func.apply(thisArg,args);}/**\n     * A specialized version of `baseAggregator` for arrays.\n     *\n     * @private\n     * @param {Array} [array] The array to iterate over.\n     * @param {Function} setter The function to set `accumulator` values.\n     * @param {Function} iteratee The iteratee to transform keys.\n     * @param {Object} accumulator The initial aggregated object.\n     * @returns {Function} Returns `accumulator`.\n     */function arrayAggregator(array,setter,iteratee,accumulator){var index=-1,length=array==null?0:array.length;while(++index<length){var value=array[index];setter(accumulator,value,iteratee(value),array);}return accumulator;}/**\n     * A specialized version of `_.forEach` for arrays without support for\n     * iteratee shorthands.\n     *\n     * @private\n     * @param {Array} [array] The array to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {Array} Returns `array`.\n     */function arrayEach(array,iteratee){var index=-1,length=array==null?0:array.length;while(++index<length){if(iteratee(array[index],index,array)===false){break;}}return array;}/**\n     * A specialized version of `_.forEachRight` for arrays without support for\n     * iteratee shorthands.\n     *\n     * @private\n     * @param {Array} [array] The array to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {Array} Returns `array`.\n     */function arrayEachRight(array,iteratee){var length=array==null?0:array.length;while(length--){if(iteratee(array[length],length,array)===false){break;}}return array;}/**\n     * A specialized version of `_.every` for arrays without support for\n     * iteratee shorthands.\n     *\n     * @private\n     * @param {Array} [array] The array to iterate over.\n     * @param {Function} predicate The function invoked per iteration.\n     * @returns {boolean} Returns `true` if all elements pass the predicate check,\n     *  else `false`.\n     */function arrayEvery(array,predicate){var index=-1,length=array==null?0:array.length;while(++index<length){if(!predicate(array[index],index,array)){return false;}}return true;}/**\n     * A specialized version of `_.filter` for arrays without support for\n     * iteratee shorthands.\n     *\n     * @private\n     * @param {Array} [array] The array to iterate over.\n     * @param {Function} predicate The function invoked per iteration.\n     * @returns {Array} Returns the new filtered array.\n     */function arrayFilter(array,predicate){var index=-1,length=array==null?0:array.length,resIndex=0,result=[];while(++index<length){var value=array[index];if(predicate(value,index,array)){result[resIndex++]=value;}}return result;}/**\n     * A specialized version of `_.includes` for arrays without support for\n     * specifying an index to search from.\n     *\n     * @private\n     * @param {Array} [array] The array to inspect.\n     * @param {*} target The value to search for.\n     * @returns {boolean} Returns `true` if `target` is found, else `false`.\n     */function arrayIncludes(array,value){var length=array==null?0:array.length;return!!length&&baseIndexOf(array,value,0)>-1;}/**\n     * This function is like `arrayIncludes` except that it accepts a comparator.\n     *\n     * @private\n     * @param {Array} [array] The array to inspect.\n     * @param {*} target The value to search for.\n     * @param {Function} comparator The comparator invoked per element.\n     * @returns {boolean} Returns `true` if `target` is found, else `false`.\n     */function arrayIncludesWith(array,value,comparator){var index=-1,length=array==null?0:array.length;while(++index<length){if(comparator(value,array[index])){return true;}}return false;}/**\n     * A specialized version of `_.map` for arrays without support for iteratee\n     * shorthands.\n     *\n     * @private\n     * @param {Array} [array] The array to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {Array} Returns the new mapped array.\n     */function arrayMap(array,iteratee){var index=-1,length=array==null?0:array.length,result=Array(length);while(++index<length){result[index]=iteratee(array[index],index,array);}return result;}/**\n     * Appends the elements of `values` to `array`.\n     *\n     * @private\n     * @param {Array} array The array to modify.\n     * @param {Array} values The values to append.\n     * @returns {Array} Returns `array`.\n     */function arrayPush(array,values){var index=-1,length=values.length,offset=array.length;while(++index<length){array[offset+index]=values[index];}return array;}/**\n     * A specialized version of `_.reduce` for arrays without support for\n     * iteratee shorthands.\n     *\n     * @private\n     * @param {Array} [array] The array to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @param {*} [accumulator] The initial value.\n     * @param {boolean} [initAccum] Specify using the first element of `array` as\n     *  the initial value.\n     * @returns {*} Returns the accumulated value.\n     */function arrayReduce(array,iteratee,accumulator,initAccum){var index=-1,length=array==null?0:array.length;if(initAccum&&length){accumulator=array[++index];}while(++index<length){accumulator=iteratee(accumulator,array[index],index,array);}return accumulator;}/**\n     * A specialized version of `_.reduceRight` for arrays without support for\n     * iteratee shorthands.\n     *\n     * @private\n     * @param {Array} [array] The array to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @param {*} [accumulator] The initial value.\n     * @param {boolean} [initAccum] Specify using the last element of `array` as\n     *  the initial value.\n     * @returns {*} Returns the accumulated value.\n     */function arrayReduceRight(array,iteratee,accumulator,initAccum){var length=array==null?0:array.length;if(initAccum&&length){accumulator=array[--length];}while(length--){accumulator=iteratee(accumulator,array[length],length,array);}return accumulator;}/**\n     * A specialized version of `_.some` for arrays without support for iteratee\n     * shorthands.\n     *\n     * @private\n     * @param {Array} [array] The array to iterate over.\n     * @param {Function} predicate The function invoked per iteration.\n     * @returns {boolean} Returns `true` if any element passes the predicate check,\n     *  else `false`.\n     */function arraySome(array,predicate){var index=-1,length=array==null?0:array.length;while(++index<length){if(predicate(array[index],index,array)){return true;}}return false;}/**\n     * Gets the size of an ASCII `string`.\n     *\n     * @private\n     * @param {string} string The string inspect.\n     * @returns {number} Returns the string size.\n     */var asciiSize=baseProperty('length');/**\n     * Converts an ASCII `string` to an array.\n     *\n     * @private\n     * @param {string} string The string to convert.\n     * @returns {Array} Returns the converted array.\n     */function asciiToArray(string){return string.split('');}/**\n     * Splits an ASCII `string` into an array of its words.\n     *\n     * @private\n     * @param {string} The string to inspect.\n     * @returns {Array} Returns the words of `string`.\n     */function asciiWords(string){return string.match(reAsciiWord)||[];}/**\n     * The base implementation of methods like `_.findKey` and `_.findLastKey`,\n     * without support for iteratee shorthands, which iterates over `collection`\n     * using `eachFunc`.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to inspect.\n     * @param {Function} predicate The function invoked per iteration.\n     * @param {Function} eachFunc The function to iterate over `collection`.\n     * @returns {*} Returns the found element or its key, else `undefined`.\n     */function baseFindKey(collection,predicate,eachFunc){var result;eachFunc(collection,function(value,key,collection){if(predicate(value,key,collection)){result=key;return false;}});return result;}/**\n     * The base implementation of `_.findIndex` and `_.findLastIndex` without\n     * support for iteratee shorthands.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {Function} predicate The function invoked per iteration.\n     * @param {number} fromIndex The index to search from.\n     * @param {boolean} [fromRight] Specify iterating from right to left.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     */function baseFindIndex(array,predicate,fromIndex,fromRight){var length=array.length,index=fromIndex+(fromRight?1:-1);while(fromRight?index--:++index<length){if(predicate(array[index],index,array)){return index;}}return-1;}/**\n     * The base implementation of `_.indexOf` without `fromIndex` bounds checks.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {*} value The value to search for.\n     * @param {number} fromIndex The index to search from.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     */function baseIndexOf(array,value,fromIndex){return value===value?strictIndexOf(array,value,fromIndex):baseFindIndex(array,baseIsNaN,fromIndex);}/**\n     * This function is like `baseIndexOf` except that it accepts a comparator.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {*} value The value to search for.\n     * @param {number} fromIndex The index to search from.\n     * @param {Function} comparator The comparator invoked per element.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     */function baseIndexOfWith(array,value,fromIndex,comparator){var index=fromIndex-1,length=array.length;while(++index<length){if(comparator(array[index],value)){return index;}}return-1;}/**\n     * The base implementation of `_.isNaN` without support for number objects.\n     *\n     * @private\n     * @param {*} value The value to check.\n     * @returns {boolean} Returns `true` if `value` is `NaN`, else `false`.\n     */function baseIsNaN(value){return value!==value;}/**\n     * The base implementation of `_.mean` and `_.meanBy` without support for\n     * iteratee shorthands.\n     *\n     * @private\n     * @param {Array} array The array to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {number} Returns the mean.\n     */function baseMean(array,iteratee){var length=array==null?0:array.length;return length?baseSum(array,iteratee)/length:NAN;}/**\n     * The base implementation of `_.property` without support for deep paths.\n     *\n     * @private\n     * @param {string} key The key of the property to get.\n     * @returns {Function} Returns the new accessor function.\n     */function baseProperty(key){return function(object){return object==null?undefined:object[key];};}/**\n     * The base implementation of `_.propertyOf` without support for deep paths.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @returns {Function} Returns the new accessor function.\n     */function basePropertyOf(object){return function(key){return object==null?undefined:object[key];};}/**\n     * The base implementation of `_.reduce` and `_.reduceRight`, without support\n     * for iteratee shorthands, which iterates over `collection` using `eachFunc`.\n     *\n     * @private\n     * @param {Array|Object} collection The collection to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @param {*} accumulator The initial value.\n     * @param {boolean} initAccum Specify using the first or last element of\n     *  `collection` as the initial value.\n     * @param {Function} eachFunc The function to iterate over `collection`.\n     * @returns {*} Returns the accumulated value.\n     */function baseReduce(collection,iteratee,accumulator,initAccum,eachFunc){eachFunc(collection,function(value,index,collection){accumulator=initAccum?(initAccum=false,value):iteratee(accumulator,value,index,collection);});return accumulator;}/**\n     * The base implementation of `_.sortBy` which uses `comparer` to define the\n     * sort order of `array` and replaces criteria objects with their corresponding\n     * values.\n     *\n     * @private\n     * @param {Array} array The array to sort.\n     * @param {Function} comparer The function to define sort order.\n     * @returns {Array} Returns `array`.\n     */function baseSortBy(array,comparer){var length=array.length;array.sort(comparer);while(length--){array[length]=array[length].value;}return array;}/**\n     * The base implementation of `_.sum` and `_.sumBy` without support for\n     * iteratee shorthands.\n     *\n     * @private\n     * @param {Array} array The array to iterate over.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {number} Returns the sum.\n     */function baseSum(array,iteratee){var result,index=-1,length=array.length;while(++index<length){var current=iteratee(array[index]);if(current!==undefined){result=result===undefined?current:result+current;}}return result;}/**\n     * The base implementation of `_.times` without support for iteratee shorthands\n     * or max array length checks.\n     *\n     * @private\n     * @param {number} n The number of times to invoke `iteratee`.\n     * @param {Function} iteratee The function invoked per iteration.\n     * @returns {Array} Returns the array of results.\n     */function baseTimes(n,iteratee){var index=-1,result=Array(n);while(++index<n){result[index]=iteratee(index);}return result;}/**\n     * The base implementation of `_.toPairs` and `_.toPairsIn` which creates an array\n     * of key-value pairs for `object` corresponding to the property names of `props`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {Array} props The property names to get values for.\n     * @returns {Object} Returns the key-value pairs.\n     */function baseToPairs(object,props){return arrayMap(props,function(key){return[key,object[key]];});}/**\n     * The base implementation of `_.unary` without support for storing metadata.\n     *\n     * @private\n     * @param {Function} func The function to cap arguments for.\n     * @returns {Function} Returns the new capped function.\n     */function baseUnary(func){return function(value){return func(value);};}/**\n     * The base implementation of `_.values` and `_.valuesIn` which creates an\n     * array of `object` property values corresponding to the property names\n     * of `props`.\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {Array} props The property names to get values for.\n     * @returns {Object} Returns the array of property values.\n     */function baseValues(object,props){return arrayMap(props,function(key){return object[key];});}/**\n     * Checks if a `cache` value for `key` exists.\n     *\n     * @private\n     * @param {Object} cache The cache to query.\n     * @param {string} key The key of the entry to check.\n     * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n     */function cacheHas(cache,key){return cache.has(key);}/**\n     * Used by `_.trim` and `_.trimStart` to get the index of the first string symbol\n     * that is not found in the character symbols.\n     *\n     * @private\n     * @param {Array} strSymbols The string symbols to inspect.\n     * @param {Array} chrSymbols The character symbols to find.\n     * @returns {number} Returns the index of the first unmatched string symbol.\n     */function charsStartIndex(strSymbols,chrSymbols){var index=-1,length=strSymbols.length;while(++index<length&&baseIndexOf(chrSymbols,strSymbols[index],0)>-1){}return index;}/**\n     * Used by `_.trim` and `_.trimEnd` to get the index of the last string symbol\n     * that is not found in the character symbols.\n     *\n     * @private\n     * @param {Array} strSymbols The string symbols to inspect.\n     * @param {Array} chrSymbols The character symbols to find.\n     * @returns {number} Returns the index of the last unmatched string symbol.\n     */function charsEndIndex(strSymbols,chrSymbols){var index=strSymbols.length;while(index--&&baseIndexOf(chrSymbols,strSymbols[index],0)>-1){}return index;}/**\n     * Gets the number of `placeholder` occurrences in `array`.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {*} placeholder The placeholder to search for.\n     * @returns {number} Returns the placeholder count.\n     */function countHolders(array,placeholder){var length=array.length,result=0;while(length--){if(array[length]===placeholder){++result;}}return result;}/**\n     * Used by `_.deburr` to convert Latin-1 Supplement and Latin Extended-A\n     * letters to basic Latin letters.\n     *\n     * @private\n     * @param {string} letter The matched letter to deburr.\n     * @returns {string} Returns the deburred letter.\n     */var deburrLetter=basePropertyOf(deburredLetters);/**\n     * Used by `_.escape` to convert characters to HTML entities.\n     *\n     * @private\n     * @param {string} chr The matched character to escape.\n     * @returns {string} Returns the escaped character.\n     */var escapeHtmlChar=basePropertyOf(htmlEscapes);/**\n     * Used by `_.template` to escape characters for inclusion in compiled string literals.\n     *\n     * @private\n     * @param {string} chr The matched character to escape.\n     * @returns {string} Returns the escaped character.\n     */function escapeStringChar(chr){return'\\\\'+stringEscapes[chr];}/**\n     * Gets the value at `key` of `object`.\n     *\n     * @private\n     * @param {Object} [object] The object to query.\n     * @param {string} key The key of the property to get.\n     * @returns {*} Returns the property value.\n     */function getValue(object,key){return object==null?undefined:object[key];}/**\n     * Checks if `string` contains Unicode symbols.\n     *\n     * @private\n     * @param {string} string The string to inspect.\n     * @returns {boolean} Returns `true` if a symbol is found, else `false`.\n     */function hasUnicode(string){return reHasUnicode.test(string);}/**\n     * Checks if `string` contains a word composed of Unicode symbols.\n     *\n     * @private\n     * @param {string} string The string to inspect.\n     * @returns {boolean} Returns `true` if a word is found, else `false`.\n     */function hasUnicodeWord(string){return reHasUnicodeWord.test(string);}/**\n     * Converts `iterator` to an array.\n     *\n     * @private\n     * @param {Object} iterator The iterator to convert.\n     * @returns {Array} Returns the converted array.\n     */function iteratorToArray(iterator){var data,result=[];while(!(data=iterator.next()).done){result.push(data.value);}return result;}/**\n     * Converts `map` to its key-value pairs.\n     *\n     * @private\n     * @param {Object} map The map to convert.\n     * @returns {Array} Returns the key-value pairs.\n     */function mapToArray(map){var index=-1,result=Array(map.size);map.forEach(function(value,key){result[++index]=[key,value];});return result;}/**\n     * Creates a unary function that invokes `func` with its argument transformed.\n     *\n     * @private\n     * @param {Function} func The function to wrap.\n     * @param {Function} transform The argument transform.\n     * @returns {Function} Returns the new function.\n     */function overArg(func,transform){return function(arg){return func(transform(arg));};}/**\n     * Replaces all `placeholder` elements in `array` with an internal placeholder\n     * and returns an array of their indexes.\n     *\n     * @private\n     * @param {Array} array The array to modify.\n     * @param {*} placeholder The placeholder to replace.\n     * @returns {Array} Returns the new array of placeholder indexes.\n     */function replaceHolders(array,placeholder){var index=-1,length=array.length,resIndex=0,result=[];while(++index<length){var value=array[index];if(value===placeholder||value===PLACEHOLDER){array[index]=PLACEHOLDER;result[resIndex++]=index;}}return result;}/**\n     * Gets the value at `key`, unless `key` is \"__proto__\".\n     *\n     * @private\n     * @param {Object} object The object to query.\n     * @param {string} key The key of the property to get.\n     * @returns {*} Returns the property value.\n     */function safeGet(object,key){return key=='__proto__'?undefined:object[key];}/**\n     * Converts `set` to an array of its values.\n     *\n     * @private\n     * @param {Object} set The set to convert.\n     * @returns {Array} Returns the values.\n     */function setToArray(set){var index=-1,result=Array(set.size);set.forEach(function(value){result[++index]=value;});return result;}/**\n     * Converts `set` to its value-value pairs.\n     *\n     * @private\n     * @param {Object} set The set to convert.\n     * @returns {Array} Returns the value-value pairs.\n     */function setToPairs(set){var index=-1,result=Array(set.size);set.forEach(function(value){result[++index]=[value,value];});return result;}/**\n     * A specialized version of `_.indexOf` which performs strict equality\n     * comparisons of values, i.e. `===`.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {*} value The value to search for.\n     * @param {number} fromIndex The index to search from.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     */function strictIndexOf(array,value,fromIndex){var index=fromIndex-1,length=array.length;while(++index<length){if(array[index]===value){return index;}}return-1;}/**\n     * A specialized version of `_.lastIndexOf` which performs strict equality\n     * comparisons of values, i.e. `===`.\n     *\n     * @private\n     * @param {Array} array The array to inspect.\n     * @param {*} value The value to search for.\n     * @param {number} fromIndex The index to search from.\n     * @returns {number} Returns the index of the matched value, else `-1`.\n     */function strictLastIndexOf(array,value,fromIndex){var index=fromIndex+1;while(index--){if(array[index]===value){return index;}}return index;}/**\n     * Gets the number of symbols in `string`.\n     *\n     * @private\n     * @param {string} string The string to inspect.\n     * @returns {number} Returns the string size.\n     */function stringSize(string){return hasUnicode(string)?unicodeSize(string):asciiSize(string);}/**\n     * Converts `string` to an array.\n     *\n     * @private\n     * @param {string} string The string to convert.\n     * @returns {Array} Returns the converted array.\n     */function stringToArray(string){return hasUnicode(string)?unicodeToArray(string):asciiToArray(string);}/**\n     * Used by `_.unescape` to convert HTML entities to characters.\n     *\n     * @private\n     * @param {string} chr The matched character to unescape.\n     * @returns {string} Returns the unescaped character.\n     */var unescapeHtmlChar=basePropertyOf(htmlUnescapes);/**\n     * Gets the size of a Unicode `string`.\n     *\n     * @private\n     * @param {string} string The string inspect.\n     * @returns {number} Returns the string size.\n     */function unicodeSize(string){var result=reUnicode.lastIndex=0;while(reUnicode.test(string)){++result;}return result;}/**\n     * Converts a Unicode `string` to an array.\n     *\n     * @private\n     * @param {string} string The string to convert.\n     * @returns {Array} Returns the converted array.\n     */function unicodeToArray(string){return string.match(reUnicode)||[];}/**\n     * Splits a Unicode `string` into an array of its words.\n     *\n     * @private\n     * @param {string} The string to inspect.\n     * @returns {Array} Returns the words of `string`.\n     */function unicodeWords(string){return string.match(reUnicodeWord)||[];}/* --------------------------------------------------------------------------*/ /**\n     * Create a new pristine `lodash` function using the `context` object.\n     *\n     * @static\n     * @memberOf _\n     * @since 1.1.0\n     * @category Util\n     * @param {Object} [context=root] The context object.\n     * @returns {Function} Returns a new `lodash` function.\n     * @example\n     *\n     * _.mixin({ 'foo': _.constant('foo') });\n     *\n     * var lodash = _.runInContext();\n     * lodash.mixin({ 'bar': lodash.constant('bar') });\n     *\n     * _.isFunction(_.foo);\n     * // => true\n     * _.isFunction(_.bar);\n     * // => false\n     *\n     * lodash.isFunction(lodash.foo);\n     * // => false\n     * lodash.isFunction(lodash.bar);\n     * // => true\n     *\n     * // Create a suped-up `defer` in Node.js.\n     * var defer = _.runInContext({ 'setTimeout': setImmediate }).defer;\n     */var runInContext=function runInContext(context){context=context==null?root:_.defaults(root.Object(),context,_.pick(root,contextProps));/** Built-in constructor references. */var Array=context.Array,Date=context.Date,Error=context.Error,Function=context.Function,Math=context.Math,Object=context.Object,RegExp=context.RegExp,String=context.String,TypeError=context.TypeError;/** Used for built-in method references. */var arrayProto=Array.prototype,funcProto=Function.prototype,objectProto=Object.prototype;/** Used to detect overreaching core-js shims. */var coreJsData=context['__core-js_shared__'];/** Used to resolve the decompiled source of functions. */var funcToString=funcProto.toString;/** Used to check objects for own properties. */var hasOwnProperty=objectProto.hasOwnProperty;/** Used to generate unique IDs. */var idCounter=0;/** Used to detect methods masquerading as native. */var maskSrcKey=function(){var uid=/[^.]+$/.exec(coreJsData&&coreJsData.keys&&coreJsData.keys.IE_PROTO||'');return uid?'Symbol(src)_1.'+uid:'';}();/**\n       * Used to resolve the\n       * [`toStringTag`](http://ecma-international.org/ecma-262/7.0/#sec-object.prototype.tostring)\n       * of values.\n       */var nativeObjectToString=objectProto.toString;/** Used to infer the `Object` constructor. */var objectCtorString=funcToString.call(Object);/** Used to restore the original `_` reference in `_.noConflict`. */var oldDash=root._;/** Used to detect if a method is native. */var reIsNative=RegExp('^'+funcToString.call(hasOwnProperty).replace(reRegExpChar,'\\\\$&').replace(/hasOwnProperty|(function).*?(?=\\\\\\()| for .+?(?=\\\\\\])/g,'$1.*?')+'$');/** Built-in value references. */var Buffer=moduleExports?context.Buffer:undefined,_Symbol=context.Symbol,Uint8Array=context.Uint8Array,allocUnsafe=Buffer?Buffer.allocUnsafe:undefined,getPrototype=overArg(Object.getPrototypeOf,Object),objectCreate=Object.create,propertyIsEnumerable=objectProto.propertyIsEnumerable,splice=arrayProto.splice,spreadableSymbol=_Symbol?_Symbol.isConcatSpreadable:undefined,symIterator=_Symbol?_Symbol.iterator:undefined,symToStringTag=_Symbol?_Symbol.toStringTag:undefined;var defineProperty=function(){try{var func=getNative(Object,'defineProperty');func({},'',{});return func;}catch(e){}}();/** Mocked built-ins. */var ctxClearTimeout=context.clearTimeout!==root.clearTimeout&&context.clearTimeout,ctxNow=Date&&Date.now!==root.Date.now&&Date.now,ctxSetTimeout=context.setTimeout!==root.setTimeout&&context.setTimeout;/* Built-in method references for those with the same name as other `lodash` methods. */var nativeCeil=Math.ceil,nativeFloor=Math.floor,nativeGetSymbols=Object.getOwnPropertySymbols,nativeIsBuffer=Buffer?Buffer.isBuffer:undefined,nativeIsFinite=context.isFinite,nativeJoin=arrayProto.join,nativeKeys=overArg(Object.keys,Object),nativeMax=Math.max,nativeMin=Math.min,nativeNow=Date.now,nativeParseInt=context.parseInt,nativeRandom=Math.random,nativeReverse=arrayProto.reverse;/* Built-in method references that are verified to be native. */var DataView=getNative(context,'DataView'),Map=getNative(context,'Map'),Promise=getNative(context,'Promise'),Set=getNative(context,'Set'),WeakMap=getNative(context,'WeakMap'),nativeCreate=getNative(Object,'create');/** Used to store function metadata. */var metaMap=WeakMap&&new WeakMap();/** Used to lookup unminified function names. */var realNames={};/** Used to detect maps, sets, and weakmaps. */var dataViewCtorString=toSource(DataView),mapCtorString=toSource(Map),promiseCtorString=toSource(Promise),setCtorString=toSource(Set),weakMapCtorString=toSource(WeakMap);/** Used to convert symbols to primitives and strings. */var symbolProto=_Symbol?_Symbol.prototype:undefined,symbolValueOf=symbolProto?symbolProto.valueOf:undefined,symbolToString=symbolProto?symbolProto.toString:undefined;/* ------------------------------------------------------------------------*/ /**\n       * Creates a `lodash` object which wraps `value` to enable implicit method\n       * chain sequences. Methods that operate on and return arrays, collections,\n       * and functions can be chained together. Methods that retrieve a single value\n       * or may return a primitive value will automatically end the chain sequence\n       * and return the unwrapped value. Otherwise, the value must be unwrapped\n       * with `_#value`.\n       *\n       * Explicit chain sequences, which must be unwrapped with `_#value`, may be\n       * enabled using `_.chain`.\n       *\n       * The execution of chained methods is lazy, that is, it's deferred until\n       * `_#value` is implicitly or explicitly called.\n       *\n       * Lazy evaluation allows several methods to support shortcut fusion.\n       * Shortcut fusion is an optimization to merge iteratee calls; this avoids\n       * the creation of intermediate arrays and can greatly reduce the number of\n       * iteratee executions. Sections of a chain sequence qualify for shortcut\n       * fusion if the section is applied to an array and iteratees accept only\n       * one argument. The heuristic for whether a section qualifies for shortcut\n       * fusion is subject to change.\n       *\n       * Chaining is supported in custom builds as long as the `_#value` method is\n       * directly or indirectly included in the build.\n       *\n       * In addition to lodash methods, wrappers have `Array` and `String` methods.\n       *\n       * The wrapper `Array` methods are:\n       * `concat`, `join`, `pop`, `push`, `shift`, `sort`, `splice`, and `unshift`\n       *\n       * The wrapper `String` methods are:\n       * `replace` and `split`\n       *\n       * The wrapper methods that support shortcut fusion are:\n       * `at`, `compact`, `drop`, `dropRight`, `dropWhile`, `filter`, `find`,\n       * `findLast`, `head`, `initial`, `last`, `map`, `reject`, `reverse`, `slice`,\n       * `tail`, `take`, `takeRight`, `takeRightWhile`, `takeWhile`, and `toArray`\n       *\n       * The chainable wrapper methods are:\n       * `after`, `ary`, `assign`, `assignIn`, `assignInWith`, `assignWith`, `at`,\n       * `before`, `bind`, `bindAll`, `bindKey`, `castArray`, `chain`, `chunk`,\n       * `commit`, `compact`, `concat`, `conforms`, `constant`, `countBy`, `create`,\n       * `curry`, `debounce`, `defaults`, `defaultsDeep`, `defer`, `delay`,\n       * `difference`, `differenceBy`, `differenceWith`, `drop`, `dropRight`,\n       * `dropRightWhile`, `dropWhile`, `extend`, `extendWith`, `fill`, `filter`,\n       * `flatMap`, `flatMapDeep`, `flatMapDepth`, `flatten`, `flattenDeep`,\n       * `flattenDepth`, `flip`, `flow`, `flowRight`, `fromPairs`, `functions`,\n       * `functionsIn`, `groupBy`, `initial`, `intersection`, `intersectionBy`,\n       * `intersectionWith`, `invert`, `invertBy`, `invokeMap`, `iteratee`, `keyBy`,\n       * `keys`, `keysIn`, `map`, `mapKeys`, `mapValues`, `matches`, `matchesProperty`,\n       * `memoize`, `merge`, `mergeWith`, `method`, `methodOf`, `mixin`, `negate`,\n       * `nthArg`, `omit`, `omitBy`, `once`, `orderBy`, `over`, `overArgs`,\n       * `overEvery`, `overSome`, `partial`, `partialRight`, `partition`, `pick`,\n       * `pickBy`, `plant`, `property`, `propertyOf`, `pull`, `pullAll`, `pullAllBy`,\n       * `pullAllWith`, `pullAt`, `push`, `range`, `rangeRight`, `rearg`, `reject`,\n       * `remove`, `rest`, `reverse`, `sampleSize`, `set`, `setWith`, `shuffle`,\n       * `slice`, `sort`, `sortBy`, `splice`, `spread`, `tail`, `take`, `takeRight`,\n       * `takeRightWhile`, `takeWhile`, `tap`, `throttle`, `thru`, `toArray`,\n       * `toPairs`, `toPairsIn`, `toPath`, `toPlainObject`, `transform`, `unary`,\n       * `union`, `unionBy`, `unionWith`, `uniq`, `uniqBy`, `uniqWith`, `unset`,\n       * `unshift`, `unzip`, `unzipWith`, `update`, `updateWith`, `values`,\n       * `valuesIn`, `without`, `wrap`, `xor`, `xorBy`, `xorWith`, `zip`,\n       * `zipObject`, `zipObjectDeep`, and `zipWith`\n       *\n       * The wrapper methods that are **not** chainable by default are:\n       * `add`, `attempt`, `camelCase`, `capitalize`, `ceil`, `clamp`, `clone`,\n       * `cloneDeep`, `cloneDeepWith`, `cloneWith`, `conformsTo`, `deburr`,\n       * `defaultTo`, `divide`, `each`, `eachRight`, `endsWith`, `eq`, `escape`,\n       * `escapeRegExp`, `every`, `find`, `findIndex`, `findKey`, `findLast`,\n       * `findLastIndex`, `findLastKey`, `first`, `floor`, `forEach`, `forEachRight`,\n       * `forIn`, `forInRight`, `forOwn`, `forOwnRight`, `get`, `gt`, `gte`, `has`,\n       * `hasIn`, `head`, `identity`, `includes`, `indexOf`, `inRange`, `invoke`,\n       * `isArguments`, `isArray`, `isArrayBuffer`, `isArrayLike`, `isArrayLikeObject`,\n       * `isBoolean`, `isBuffer`, `isDate`, `isElement`, `isEmpty`, `isEqual`,\n       * `isEqualWith`, `isError`, `isFinite`, `isFunction`, `isInteger`, `isLength`,\n       * `isMap`, `isMatch`, `isMatchWith`, `isNaN`, `isNative`, `isNil`, `isNull`,\n       * `isNumber`, `isObject`, `isObjectLike`, `isPlainObject`, `isRegExp`,\n       * `isSafeInteger`, `isSet`, `isString`, `isUndefined`, `isTypedArray`,\n       * `isWeakMap`, `isWeakSet`, `join`, `kebabCase`, `last`, `lastIndexOf`,\n       * `lowerCase`, `lowerFirst`, `lt`, `lte`, `max`, `maxBy`, `mean`, `meanBy`,\n       * `min`, `minBy`, `multiply`, `noConflict`, `noop`, `now`, `nth`, `pad`,\n       * `padEnd`, `padStart`, `parseInt`, `pop`, `random`, `reduce`, `reduceRight`,\n       * `repeat`, `result`, `round`, `runInContext`, `sample`, `shift`, `size`,\n       * `snakeCase`, `some`, `sortedIndex`, `sortedIndexBy`, `sortedLastIndex`,\n       * `sortedLastIndexBy`, `startCase`, `startsWith`, `stubArray`, `stubFalse`,\n       * `stubObject`, `stubString`, `stubTrue`, `subtract`, `sum`, `sumBy`,\n       * `template`, `times`, `toFinite`, `toInteger`, `toJSON`, `toLength`,\n       * `toLower`, `toNumber`, `toSafeInteger`, `toString`, `toUpper`, `trim`,\n       * `trimEnd`, `trimStart`, `truncate`, `unescape`, `uniqueId`, `upperCase`,\n       * `upperFirst`, `value`, and `words`\n       *\n       * @name _\n       * @constructor\n       * @category Seq\n       * @param {*} value The value to wrap in a `lodash` instance.\n       * @returns {Object} Returns the new `lodash` wrapper instance.\n       * @example\n       *\n       * function square(n) {\n       *   return n * n;\n       * }\n       *\n       * var wrapped = _([1, 2, 3]);\n       *\n       * // Returns an unwrapped value.\n       * wrapped.reduce(_.add);\n       * // => 6\n       *\n       * // Returns a wrapped value.\n       * var squares = wrapped.map(square);\n       *\n       * _.isArray(squares);\n       * // => false\n       *\n       * _.isArray(squares.value());\n       * // => true\n       */function lodash(value){if(isObjectLike(value)&&!isArray(value)&&!(value instanceof LazyWrapper)){if(value instanceof LodashWrapper){return value;}if(hasOwnProperty.call(value,'__wrapped__')){return wrapperClone(value);}}return new LodashWrapper(value);}/**\n         * The base implementation of `_.create` without support for assigning\n         * properties to the created object.\n         *\n         * @private\n         * @param {Object} proto The object to inherit from.\n         * @returns {Object} Returns the new object.\n         */var baseCreate=function(){function object(){}return function(proto){if(!isObject(proto)){return{};}if(objectCreate){return objectCreate(proto);}object.prototype=proto;var result=new object();object.prototype=undefined;return result;};}();/**\n       * The function whose prototype chain sequence wrappers inherit from.\n       *\n       * @private\n       */function baseLodash(){}// No operation performed.\n/**\n         * The base constructor for creating `lodash` wrapper objects.\n         *\n         * @private\n         * @param {*} value The value to wrap.\n         * @param {boolean} [chainAll] Enable explicit method chain sequences.\n         */function LodashWrapper(value,chainAll){this.__wrapped__=value;this.__actions__=[];this.__chain__=!!chainAll;this.__index__=0;this.__values__=undefined;}/**\n         * By default, the template delimiters used by lodash are like those in\n         * embedded Ruby (ERB) as well as ES2015 template strings. Change the\n         * following template settings to use alternative delimiters.\n         *\n         * @static\n         * @memberOf _\n         * @type {Object}\n         */lodash.templateSettings={/**\n             * Used to detect `data` property values to be HTML-escaped.\n             *\n             * @memberOf _.templateSettings\n             * @type {RegExp}\n             */escape:reEscape,/**\n             * Used to detect code to be evaluated.\n             *\n             * @memberOf _.templateSettings\n             * @type {RegExp}\n             */evaluate:reEvaluate,/**\n             * Used to detect `data` property values to inject.\n             *\n             * @memberOf _.templateSettings\n             * @type {RegExp}\n             */interpolate:reInterpolate,/**\n             * Used to reference the data object in the template text.\n             *\n             * @memberOf _.templateSettings\n             * @type {string}\n             */variable:'',/**\n             * Used to import variables into the compiled template.\n             *\n             * @memberOf _.templateSettings\n             * @type {Object}\n             */imports:{/**\n                 * A reference to the `lodash` function.\n                 *\n                 * @memberOf _.templateSettings.imports\n                 * @type {Function}\n                 */_:lodash}};// Ensure wrappers are instances of `baseLodash`.\nlodash.prototype=baseLodash.prototype;lodash.prototype.constructor=lodash;LodashWrapper.prototype=baseCreate(baseLodash.prototype);LodashWrapper.prototype.constructor=LodashWrapper;/* ------------------------------------------------------------------------*/ /**\n         * Creates a lazy wrapper object which wraps `value` to enable lazy evaluation.\n         *\n         * @private\n         * @constructor\n         * @param {*} value The value to wrap.\n         */function LazyWrapper(value){this.__wrapped__=value;this.__actions__=[];this.__dir__=1;this.__filtered__=false;this.__iteratees__=[];this.__takeCount__=MAX_ARRAY_LENGTH;this.__views__=[];}/**\n         * Creates a clone of the lazy wrapper object.\n         *\n         * @private\n         * @name clone\n         * @memberOf LazyWrapper\n         * @returns {Object} Returns the cloned `LazyWrapper` object.\n         */function lazyClone(){var result=new LazyWrapper(this.__wrapped__);result.__actions__=copyArray(this.__actions__);result.__dir__=this.__dir__;result.__filtered__=this.__filtered__;result.__iteratees__=copyArray(this.__iteratees__);result.__takeCount__=this.__takeCount__;result.__views__=copyArray(this.__views__);return result;}/**\n         * Reverses the direction of lazy iteration.\n         *\n         * @private\n         * @name reverse\n         * @memberOf LazyWrapper\n         * @returns {Object} Returns the new reversed `LazyWrapper` object.\n         */function lazyReverse(){if(this.__filtered__){var result=new LazyWrapper(this);result.__dir__=-1;result.__filtered__=true;}else{result=this.clone();result.__dir__*=-1;}return result;}/**\n         * Extracts the unwrapped value from its lazy wrapper.\n         *\n         * @private\n         * @name value\n         * @memberOf LazyWrapper\n         * @returns {*} Returns the unwrapped value.\n         */function lazyValue(){var array=this.__wrapped__.value(),dir=this.__dir__,isArr=isArray(array),isRight=dir<0,arrLength=isArr?array.length:0,view=getView(0,arrLength,this.__views__),start=view.start,end=view.end,length=end-start,index=isRight?end:start-1,iteratees=this.__iteratees__,iterLength=iteratees.length,resIndex=0,takeCount=nativeMin(length,this.__takeCount__);if(!isArr||!isRight&&arrLength==length&&takeCount==length){return baseWrapperValue(array,this.__actions__);}var result=[];outer:while(length--&&resIndex<takeCount){index+=dir;var iterIndex=-1,value=array[index];while(++iterIndex<iterLength){var data=iteratees[iterIndex],iteratee=data.iteratee,type=data.type,computed=iteratee(value);if(type==LAZY_MAP_FLAG){value=computed;}else if(!computed){if(type==LAZY_FILTER_FLAG){continue outer;}else{break outer;}}}result[resIndex++]=value;}return result;}// Ensure `LazyWrapper` is an instance of `baseLodash`.\nLazyWrapper.prototype=baseCreate(baseLodash.prototype);LazyWrapper.prototype.constructor=LazyWrapper;/* ------------------------------------------------------------------------*/ /**\n         * Creates a hash object.\n         *\n         * @private\n         * @constructor\n         * @param {Array} [entries] The key-value pairs to cache.\n         */function Hash(entries){var index=-1,length=entries==null?0:entries.length;this.clear();while(++index<length){var entry=entries[index];this.set(entry[0],entry[1]);}}/**\n         * Removes all key-value entries from the hash.\n         *\n         * @private\n         * @name clear\n         * @memberOf Hash\n         */function hashClear(){this.__data__=nativeCreate?nativeCreate(null):{};this.size=0;}/**\n         * Removes `key` and its value from the hash.\n         *\n         * @private\n         * @name delete\n         * @memberOf Hash\n         * @param {Object} hash The hash to modify.\n         * @param {string} key The key of the value to remove.\n         * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n         */function hashDelete(key){var result=this.has(key)&&delete this.__data__[key];this.size-=result?1:0;return result;}/**\n         * Gets the hash value for `key`.\n         *\n         * @private\n         * @name get\n         * @memberOf Hash\n         * @param {string} key The key of the value to get.\n         * @returns {*} Returns the entry value.\n         */function hashGet(key){var data=this.__data__;if(nativeCreate){var result=data[key];return result===HASH_UNDEFINED?undefined:result;}return hasOwnProperty.call(data,key)?data[key]:undefined;}/**\n         * Checks if a hash value for `key` exists.\n         *\n         * @private\n         * @name has\n         * @memberOf Hash\n         * @param {string} key The key of the entry to check.\n         * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n         */function hashHas(key){var data=this.__data__;return nativeCreate?data[key]!==undefined:hasOwnProperty.call(data,key);}/**\n         * Sets the hash `key` to `value`.\n         *\n         * @private\n         * @name set\n         * @memberOf Hash\n         * @param {string} key The key of the value to set.\n         * @param {*} value The value to set.\n         * @returns {Object} Returns the hash instance.\n         */function hashSet(key,value){var data=this.__data__;this.size+=this.has(key)?0:1;data[key]=nativeCreate&&value===undefined?HASH_UNDEFINED:value;return this;}// Add methods to `Hash`.\nHash.prototype.clear=hashClear;Hash.prototype['delete']=hashDelete;Hash.prototype.get=hashGet;Hash.prototype.has=hashHas;Hash.prototype.set=hashSet;/* ------------------------------------------------------------------------*/ /**\n         * Creates an list cache object.\n         *\n         * @private\n         * @constructor\n         * @param {Array} [entries] The key-value pairs to cache.\n         */function ListCache(entries){var index=-1,length=entries==null?0:entries.length;this.clear();while(++index<length){var entry=entries[index];this.set(entry[0],entry[1]);}}/**\n         * Removes all key-value entries from the list cache.\n         *\n         * @private\n         * @name clear\n         * @memberOf ListCache\n         */function listCacheClear(){this.__data__=[];this.size=0;}/**\n         * Removes `key` and its value from the list cache.\n         *\n         * @private\n         * @name delete\n         * @memberOf ListCache\n         * @param {string} key The key of the value to remove.\n         * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n         */function listCacheDelete(key){var data=this.__data__,index=assocIndexOf(data,key);if(index<0){return false;}var lastIndex=data.length-1;if(index==lastIndex){data.pop();}else{splice.call(data,index,1);}--this.size;return true;}/**\n         * Gets the list cache value for `key`.\n         *\n         * @private\n         * @name get\n         * @memberOf ListCache\n         * @param {string} key The key of the value to get.\n         * @returns {*} Returns the entry value.\n         */function listCacheGet(key){var data=this.__data__,index=assocIndexOf(data,key);return index<0?undefined:data[index][1];}/**\n         * Checks if a list cache value for `key` exists.\n         *\n         * @private\n         * @name has\n         * @memberOf ListCache\n         * @param {string} key The key of the entry to check.\n         * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n         */function listCacheHas(key){return assocIndexOf(this.__data__,key)>-1;}/**\n         * Sets the list cache `key` to `value`.\n         *\n         * @private\n         * @name set\n         * @memberOf ListCache\n         * @param {string} key The key of the value to set.\n         * @param {*} value The value to set.\n         * @returns {Object} Returns the list cache instance.\n         */function listCacheSet(key,value){var data=this.__data__,index=assocIndexOf(data,key);if(index<0){++this.size;data.push([key,value]);}else{data[index][1]=value;}return this;}// Add methods to `ListCache`.\nListCache.prototype.clear=listCacheClear;ListCache.prototype['delete']=listCacheDelete;ListCache.prototype.get=listCacheGet;ListCache.prototype.has=listCacheHas;ListCache.prototype.set=listCacheSet;/* ------------------------------------------------------------------------*/ /**\n         * Creates a map cache object to store key-value pairs.\n         *\n         * @private\n         * @constructor\n         * @param {Array} [entries] The key-value pairs to cache.\n         */function MapCache(entries){var index=-1,length=entries==null?0:entries.length;this.clear();while(++index<length){var entry=entries[index];this.set(entry[0],entry[1]);}}/**\n         * Removes all key-value entries from the map.\n         *\n         * @private\n         * @name clear\n         * @memberOf MapCache\n         */function mapCacheClear(){this.size=0;this.__data__={hash:new Hash(),map:new(Map||ListCache)(),string:new Hash()};}/**\n         * Removes `key` and its value from the map.\n         *\n         * @private\n         * @name delete\n         * @memberOf MapCache\n         * @param {string} key The key of the value to remove.\n         * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n         */function mapCacheDelete(key){var result=getMapData(this,key)['delete'](key);this.size-=result?1:0;return result;}/**\n         * Gets the map value for `key`.\n         *\n         * @private\n         * @name get\n         * @memberOf MapCache\n         * @param {string} key The key of the value to get.\n         * @returns {*} Returns the entry value.\n         */function mapCacheGet(key){return getMapData(this,key).get(key);}/**\n         * Checks if a map value for `key` exists.\n         *\n         * @private\n         * @name has\n         * @memberOf MapCache\n         * @param {string} key The key of the entry to check.\n         * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n         */function mapCacheHas(key){return getMapData(this,key).has(key);}/**\n         * Sets the map `key` to `value`.\n         *\n         * @private\n         * @name set\n         * @memberOf MapCache\n         * @param {string} key The key of the value to set.\n         * @param {*} value The value to set.\n         * @returns {Object} Returns the map cache instance.\n         */function mapCacheSet(key,value){var data=getMapData(this,key),size=data.size;data.set(key,value);this.size+=data.size==size?0:1;return this;}// Add methods to `MapCache`.\nMapCache.prototype.clear=mapCacheClear;MapCache.prototype['delete']=mapCacheDelete;MapCache.prototype.get=mapCacheGet;MapCache.prototype.has=mapCacheHas;MapCache.prototype.set=mapCacheSet;/* ------------------------------------------------------------------------*/ /**\n         *\n         * Creates an array cache object to store unique values.\n         *\n         * @private\n         * @constructor\n         * @param {Array} [values] The values to cache.\n         */function SetCache(values){var index=-1,length=values==null?0:values.length;this.__data__=new MapCache();while(++index<length){this.add(values[index]);}}/**\n         * Adds `value` to the array cache.\n         *\n         * @private\n         * @name add\n         * @memberOf SetCache\n         * @alias push\n         * @param {*} value The value to cache.\n         * @returns {Object} Returns the cache instance.\n         */function setCacheAdd(value){this.__data__.set(value,HASH_UNDEFINED);return this;}/**\n         * Checks if `value` is in the array cache.\n         *\n         * @private\n         * @name has\n         * @memberOf SetCache\n         * @param {*} value The value to search for.\n         * @returns {number} Returns `true` if `value` is found, else `false`.\n         */function setCacheHas(value){return this.__data__.has(value);}// Add methods to `SetCache`.\nSetCache.prototype.add=SetCache.prototype.push=setCacheAdd;SetCache.prototype.has=setCacheHas;/* ------------------------------------------------------------------------*/ /**\n         * Creates a stack cache object to store key-value pairs.\n         *\n         * @private\n         * @constructor\n         * @param {Array} [entries] The key-value pairs to cache.\n         */function Stack(entries){var data=this.__data__=new ListCache(entries);this.size=data.size;}/**\n         * Removes all key-value entries from the stack.\n         *\n         * @private\n         * @name clear\n         * @memberOf Stack\n         */function stackClear(){this.__data__=new ListCache();this.size=0;}/**\n         * Removes `key` and its value from the stack.\n         *\n         * @private\n         * @name delete\n         * @memberOf Stack\n         * @param {string} key The key of the value to remove.\n         * @returns {boolean} Returns `true` if the entry was removed, else `false`.\n         */function stackDelete(key){var data=this.__data__,result=data['delete'](key);this.size=data.size;return result;}/**\n         * Gets the stack value for `key`.\n         *\n         * @private\n         * @name get\n         * @memberOf Stack\n         * @param {string} key The key of the value to get.\n         * @returns {*} Returns the entry value.\n         */function stackGet(key){return this.__data__.get(key);}/**\n         * Checks if a stack value for `key` exists.\n         *\n         * @private\n         * @name has\n         * @memberOf Stack\n         * @param {string} key The key of the entry to check.\n         * @returns {boolean} Returns `true` if an entry for `key` exists, else `false`.\n         */function stackHas(key){return this.__data__.has(key);}/**\n         * Sets the stack `key` to `value`.\n         *\n         * @private\n         * @name set\n         * @memberOf Stack\n         * @param {string} key The key of the value to set.\n         * @param {*} value The value to set.\n         * @returns {Object} Returns the stack cache instance.\n         */function stackSet(key,value){var data=this.__data__;if(data instanceof ListCache){var pairs=data.__data__;if(!Map||pairs.length<LARGE_ARRAY_SIZE-1){pairs.push([key,value]);this.size=++data.size;return this;}data=this.__data__=new MapCache(pairs);}data.set(key,value);this.size=data.size;return this;}// Add methods to `Stack`.\nStack.prototype.clear=stackClear;Stack.prototype['delete']=stackDelete;Stack.prototype.get=stackGet;Stack.prototype.has=stackHas;Stack.prototype.set=stackSet;/* ------------------------------------------------------------------------*/ /**\n         * Creates an array of the enumerable property names of the array-like `value`.\n         *\n         * @private\n         * @param {*} value The value to query.\n         * @param {boolean} inherited Specify returning inherited property names.\n         * @returns {Array} Returns the array of property names.\n         */function arrayLikeKeys(value,inherited){var isArr=isArray(value),isArg=!isArr&&isArguments(value),isBuff=!isArr&&!isArg&&isBuffer(value),isType=!isArr&&!isArg&&!isBuff&&isTypedArray(value),skipIndexes=isArr||isArg||isBuff||isType,result=skipIndexes?baseTimes(value.length,String):[],length=result.length;for(var key in value){if((inherited||hasOwnProperty.call(value,key))&&!(skipIndexes&&(// Safari 9 has enumerable `arguments.length` in strict mode.\nkey=='length'||// Node.js 0.10 has enumerable non-index properties on buffers.\nisBuff&&(key=='offset'||key=='parent')||// PhantomJS 2 has enumerable non-index properties on typed arrays.\nisType&&(key=='buffer'||key=='byteLength'||key=='byteOffset')||// Skip index properties.\nisIndex(key,length)))){result.push(key);}}return result;}/**\n         * A specialized version of `_.sample` for arrays.\n         *\n         * @private\n         * @param {Array} array The array to sample.\n         * @returns {*} Returns the random element.\n         */function arraySample(array){var length=array.length;return length?array[baseRandom(0,length-1)]:undefined;}/**\n         * A specialized version of `_.sampleSize` for arrays.\n         *\n         * @private\n         * @param {Array} array The array to sample.\n         * @param {number} n The number of elements to sample.\n         * @returns {Array} Returns the random elements.\n         */function arraySampleSize(array,n){return shuffleSelf(copyArray(array),baseClamp(n,0,array.length));}/**\n         * A specialized version of `_.shuffle` for arrays.\n         *\n         * @private\n         * @param {Array} array The array to shuffle.\n         * @returns {Array} Returns the new shuffled array.\n         */function arrayShuffle(array){return shuffleSelf(copyArray(array));}/**\n         * This function is like `assignValue` except that it doesn't assign\n         * `undefined` values.\n         *\n         * @private\n         * @param {Object} object The object to modify.\n         * @param {string} key The key of the property to assign.\n         * @param {*} value The value to assign.\n         */function assignMergeValue(object,key,value){if(value!==undefined&&!eq(object[key],value)||value===undefined&&!(key in object)){baseAssignValue(object,key,value);}}/**\n         * Assigns `value` to `key` of `object` if the existing value is not equivalent\n         * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n         * for equality comparisons.\n         *\n         * @private\n         * @param {Object} object The object to modify.\n         * @param {string} key The key of the property to assign.\n         * @param {*} value The value to assign.\n         */function assignValue(object,key,value){var objValue=object[key];if(!(hasOwnProperty.call(object,key)&&eq(objValue,value))||value===undefined&&!(key in object)){baseAssignValue(object,key,value);}}/**\n         * Gets the index at which the `key` is found in `array` of key-value pairs.\n         *\n         * @private\n         * @param {Array} array The array to inspect.\n         * @param {*} key The key to search for.\n         * @returns {number} Returns the index of the matched value, else `-1`.\n         */function assocIndexOf(array,key){var length=array.length;while(length--){if(eq(array[length][0],key)){return length;}}return-1;}/**\n         * Aggregates elements of `collection` on `accumulator` with keys transformed\n         * by `iteratee` and values set by `setter`.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} setter The function to set `accumulator` values.\n         * @param {Function} iteratee The iteratee to transform keys.\n         * @param {Object} accumulator The initial aggregated object.\n         * @returns {Function} Returns `accumulator`.\n         */function baseAggregator(collection,setter,iteratee,accumulator){baseEach(collection,function(value,key,collection){setter(accumulator,value,iteratee(value),collection);});return accumulator;}/**\n         * The base implementation of `_.assign` without support for multiple sources\n         * or `customizer` functions.\n         *\n         * @private\n         * @param {Object} object The destination object.\n         * @param {Object} source The source object.\n         * @returns {Object} Returns `object`.\n         */function baseAssign(object,source){return object&&copyObject(source,keys(source),object);}/**\n         * The base implementation of `_.assignIn` without support for multiple sources\n         * or `customizer` functions.\n         *\n         * @private\n         * @param {Object} object The destination object.\n         * @param {Object} source The source object.\n         * @returns {Object} Returns `object`.\n         */function baseAssignIn(object,source){return object&&copyObject(source,keysIn(source),object);}/**\n         * The base implementation of `assignValue` and `assignMergeValue` without\n         * value checks.\n         *\n         * @private\n         * @param {Object} object The object to modify.\n         * @param {string} key The key of the property to assign.\n         * @param {*} value The value to assign.\n         */function baseAssignValue(object,key,value){if(key=='__proto__'&&defineProperty){defineProperty(object,key,{configurable:true,enumerable:true,value:value,writable:true});}else{object[key]=value;}}/**\n         * The base implementation of `_.at` without support for individual paths.\n         *\n         * @private\n         * @param {Object} object The object to iterate over.\n         * @param {string[]} paths The property paths to pick.\n         * @returns {Array} Returns the picked elements.\n         */function baseAt(object,paths){var index=-1,length=paths.length,result=Array(length),skip=object==null;while(++index<length){result[index]=skip?undefined:get(object,paths[index]);}return result;}/**\n         * The base implementation of `_.clamp` which doesn't coerce arguments.\n         *\n         * @private\n         * @param {number} number The number to clamp.\n         * @param {number} [lower] The lower bound.\n         * @param {number} upper The upper bound.\n         * @returns {number} Returns the clamped number.\n         */function baseClamp(number,lower,upper){if(number===number){if(upper!==undefined){number=number<=upper?number:upper;}if(lower!==undefined){number=number>=lower?number:lower;}}return number;}/**\n         * The base implementation of `_.clone` and `_.cloneDeep` which tracks\n         * traversed objects.\n         *\n         * @private\n         * @param {*} value The value to clone.\n         * @param {boolean} bitmask The bitmask flags.\n         *  1 - Deep clone\n         *  2 - Flatten inherited properties\n         *  4 - Clone symbols\n         * @param {Function} [customizer] The function to customize cloning.\n         * @param {string} [key] The key of `value`.\n         * @param {Object} [object] The parent object of `value`.\n         * @param {Object} [stack] Tracks traversed objects and their clone counterparts.\n         * @returns {*} Returns the cloned value.\n         */function baseClone(value,bitmask,customizer,key,object,stack){var result,isDeep=bitmask&CLONE_DEEP_FLAG,isFlat=bitmask&CLONE_FLAT_FLAG,isFull=bitmask&CLONE_SYMBOLS_FLAG;if(customizer){result=object?customizer(value,key,object,stack):customizer(value);}if(result!==undefined){return result;}if(!isObject(value)){return value;}var isArr=isArray(value);if(isArr){result=initCloneArray(value);if(!isDeep){return copyArray(value,result);}}else{var tag=getTag(value),isFunc=tag==funcTag||tag==genTag;if(isBuffer(value)){return cloneBuffer(value,isDeep);}if(tag==objectTag||tag==argsTag||isFunc&&!object){result=isFlat||isFunc?{}:initCloneObject(value);if(!isDeep){return isFlat?copySymbolsIn(value,baseAssignIn(result,value)):copySymbols(value,baseAssign(result,value));}}else{if(!cloneableTags[tag]){return object?value:{};}result=initCloneByTag(value,tag,isDeep);}}// Check for circular references and return its corresponding clone.\nstack||(stack=new Stack());var stacked=stack.get(value);if(stacked){return stacked;}stack.set(value,result);if(isSet(value)){value.forEach(function(subValue){result.add(baseClone(subValue,bitmask,customizer,subValue,value,stack));});return result;}if(isMap(value)){value.forEach(function(subValue,key){result.set(key,baseClone(subValue,bitmask,customizer,key,value,stack));});return result;}var keysFunc=isFull?isFlat?getAllKeysIn:getAllKeys:isFlat?keysIn:keys;var props=isArr?undefined:keysFunc(value);arrayEach(props||value,function(subValue,key){if(props){key=subValue;subValue=value[key];}// Recursively populate clone (susceptible to call stack limits).\nassignValue(result,key,baseClone(subValue,bitmask,customizer,key,value,stack));});return result;}/**\n         * The base implementation of `_.conforms` which doesn't clone `source`.\n         *\n         * @private\n         * @param {Object} source The object of property predicates to conform to.\n         * @returns {Function} Returns the new spec function.\n         */function baseConforms(source){var props=keys(source);return function(object){return baseConformsTo(object,source,props);};}/**\n         * The base implementation of `_.conformsTo` which accepts `props` to check.\n         *\n         * @private\n         * @param {Object} object The object to inspect.\n         * @param {Object} source The object of property predicates to conform to.\n         * @returns {boolean} Returns `true` if `object` conforms, else `false`.\n         */function baseConformsTo(object,source,props){var length=props.length;if(object==null){return!length;}object=Object(object);while(length--){var key=props[length],predicate=source[key],value=object[key];if(value===undefined&&!(key in object)||!predicate(value)){return false;}}return true;}/**\n         * The base implementation of `_.delay` and `_.defer` which accepts `args`\n         * to provide to `func`.\n         *\n         * @private\n         * @param {Function} func The function to delay.\n         * @param {number} wait The number of milliseconds to delay invocation.\n         * @param {Array} args The arguments to provide to `func`.\n         * @returns {number|Object} Returns the timer id or timeout object.\n         */function baseDelay(func,wait,args){if(typeof func!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}return setTimeout(function(){func.apply(undefined,args);},wait);}/**\n         * The base implementation of methods like `_.difference` without support\n         * for excluding multiple arrays or iteratee shorthands.\n         *\n         * @private\n         * @param {Array} array The array to inspect.\n         * @param {Array} values The values to exclude.\n         * @param {Function} [iteratee] The iteratee invoked per element.\n         * @param {Function} [comparator] The comparator invoked per element.\n         * @returns {Array} Returns the new array of filtered values.\n         */function baseDifference(array,values,iteratee,comparator){var index=-1,includes=arrayIncludes,isCommon=true,length=array.length,result=[],valuesLength=values.length;if(!length){return result;}if(iteratee){values=arrayMap(values,baseUnary(iteratee));}if(comparator){includes=arrayIncludesWith;isCommon=false;}else if(values.length>=LARGE_ARRAY_SIZE){includes=cacheHas;isCommon=false;values=new SetCache(values);}outer:while(++index<length){var value=array[index],computed=iteratee==null?value:iteratee(value);value=comparator||value!==0?value:0;if(isCommon&&computed===computed){var valuesIndex=valuesLength;while(valuesIndex--){if(values[valuesIndex]===computed){continue outer;}}result.push(value);}else if(!includes(values,computed,comparator)){result.push(value);}}return result;}/**\n         * The base implementation of `_.forEach` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} iteratee The function invoked per iteration.\n         * @returns {Array|Object} Returns `collection`.\n         */var baseEach=createBaseEach(baseForOwn);/**\n         * The base implementation of `_.forEachRight` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} iteratee The function invoked per iteration.\n         * @returns {Array|Object} Returns `collection`.\n         */var baseEachRight=createBaseEach(baseForOwnRight,true);/**\n         * The base implementation of `_.every` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} predicate The function invoked per iteration.\n         * @returns {boolean} Returns `true` if all elements pass the predicate check,\n         *  else `false`\n         */function baseEvery(collection,predicate){var result=true;baseEach(collection,function(value,index,collection){result=!!predicate(value,index,collection);return result;});return result;}/**\n         * The base implementation of methods like `_.max` and `_.min` which accepts a\n         * `comparator` to determine the extremum value.\n         *\n         * @private\n         * @param {Array} array The array to iterate over.\n         * @param {Function} iteratee The iteratee invoked per iteration.\n         * @param {Function} comparator The comparator used to compare values.\n         * @returns {*} Returns the extremum value.\n         */function baseExtremum(array,iteratee,comparator){var index=-1,length=array.length;while(++index<length){var value=array[index],current=iteratee(value);if(current!=null&&(computed===undefined?current===current&&!isSymbol(current):comparator(current,computed))){var computed=current,result=value;}}return result;}/**\n         * The base implementation of `_.fill` without an iteratee call guard.\n         *\n         * @private\n         * @param {Array} array The array to fill.\n         * @param {*} value The value to fill `array` with.\n         * @param {number} [start=0] The start position.\n         * @param {number} [end=array.length] The end position.\n         * @returns {Array} Returns `array`.\n         */function baseFill(array,value,start,end){var length=array.length;start=toInteger(start);if(start<0){start=-start>length?0:length+start;}end=end===undefined||end>length?length:toInteger(end);if(end<0){end+=length;}end=start>end?0:toLength(end);while(start<end){array[start++]=value;}return array;}/**\n         * The base implementation of `_.filter` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} predicate The function invoked per iteration.\n         * @returns {Array} Returns the new filtered array.\n         */function baseFilter(collection,predicate){var result=[];baseEach(collection,function(value,index,collection){if(predicate(value,index,collection)){result.push(value);}});return result;}/**\n         * The base implementation of `_.flatten` with support for restricting flattening.\n         *\n         * @private\n         * @param {Array} array The array to flatten.\n         * @param {number} depth The maximum recursion depth.\n         * @param {boolean} [predicate=isFlattenable] The function invoked per iteration.\n         * @param {boolean} [isStrict] Restrict to values that pass `predicate` checks.\n         * @param {Array} [result=[]] The initial result value.\n         * @returns {Array} Returns the new flattened array.\n         */function baseFlatten(array,depth,predicate,isStrict,result){var index=-1,length=array.length;predicate||(predicate=isFlattenable);result||(result=[]);while(++index<length){var value=array[index];if(depth>0&&predicate(value)){if(depth>1){// Recursively flatten arrays (susceptible to call stack limits).\nbaseFlatten(value,depth-1,predicate,isStrict,result);}else{arrayPush(result,value);}}else if(!isStrict){result[result.length]=value;}}return result;}/**\n         * The base implementation of `baseForOwn` which iterates over `object`\n         * properties returned by `keysFunc` and invokes `iteratee` for each property.\n         * Iteratee functions may exit iteration early by explicitly returning `false`.\n         *\n         * @private\n         * @param {Object} object The object to iterate over.\n         * @param {Function} iteratee The function invoked per iteration.\n         * @param {Function} keysFunc The function to get the keys of `object`.\n         * @returns {Object} Returns `object`.\n         */var baseFor=createBaseFor();/**\n         * This function is like `baseFor` except that it iterates over properties\n         * in the opposite order.\n         *\n         * @private\n         * @param {Object} object The object to iterate over.\n         * @param {Function} iteratee The function invoked per iteration.\n         * @param {Function} keysFunc The function to get the keys of `object`.\n         * @returns {Object} Returns `object`.\n         */var baseForRight=createBaseFor(true);/**\n         * The base implementation of `_.forOwn` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Object} object The object to iterate over.\n         * @param {Function} iteratee The function invoked per iteration.\n         * @returns {Object} Returns `object`.\n         */function baseForOwn(object,iteratee){return object&&baseFor(object,iteratee,keys);}/**\n         * The base implementation of `_.forOwnRight` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Object} object The object to iterate over.\n         * @param {Function} iteratee The function invoked per iteration.\n         * @returns {Object} Returns `object`.\n         */function baseForOwnRight(object,iteratee){return object&&baseForRight(object,iteratee,keys);}/**\n         * The base implementation of `_.functions` which creates an array of\n         * `object` function property names filtered from `props`.\n         *\n         * @private\n         * @param {Object} object The object to inspect.\n         * @param {Array} props The property names to filter.\n         * @returns {Array} Returns the function names.\n         */function baseFunctions(object,props){return arrayFilter(props,function(key){return isFunction(object[key]);});}/**\n         * The base implementation of `_.get` without support for default values.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @param {Array|string} path The path of the property to get.\n         * @returns {*} Returns the resolved value.\n         */function baseGet(object,path){path=castPath(path,object);var index=0,length=path.length;while(object!=null&&index<length){object=object[toKey(path[index++])];}return index&&index==length?object:undefined;}/**\n         * The base implementation of `getAllKeys` and `getAllKeysIn` which uses\n         * `keysFunc` and `symbolsFunc` to get the enumerable property names and\n         * symbols of `object`.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @param {Function} keysFunc The function to get the keys of `object`.\n         * @param {Function} symbolsFunc The function to get the symbols of `object`.\n         * @returns {Array} Returns the array of property names and symbols.\n         */function baseGetAllKeys(object,keysFunc,symbolsFunc){var result=keysFunc(object);return isArray(object)?result:arrayPush(result,symbolsFunc(object));}/**\n         * The base implementation of `getTag` without fallbacks for buggy environments.\n         *\n         * @private\n         * @param {*} value The value to query.\n         * @returns {string} Returns the `toStringTag`.\n         */function baseGetTag(value){if(value==null){return value===undefined?undefinedTag:nullTag;}return symToStringTag&&symToStringTag in Object(value)?getRawTag(value):objectToString(value);}/**\n         * The base implementation of `_.gt` which doesn't coerce arguments.\n         *\n         * @private\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @returns {boolean} Returns `true` if `value` is greater than `other`,\n         *  else `false`.\n         */function baseGt(value,other){return value>other;}/**\n         * The base implementation of `_.has` without support for deep paths.\n         *\n         * @private\n         * @param {Object} [object] The object to query.\n         * @param {Array|string} key The key to check.\n         * @returns {boolean} Returns `true` if `key` exists, else `false`.\n         */function baseHas(object,key){return object!=null&&hasOwnProperty.call(object,key);}/**\n         * The base implementation of `_.hasIn` without support for deep paths.\n         *\n         * @private\n         * @param {Object} [object] The object to query.\n         * @param {Array|string} key The key to check.\n         * @returns {boolean} Returns `true` if `key` exists, else `false`.\n         */function baseHasIn(object,key){return object!=null&&key in Object(object);}/**\n         * The base implementation of `_.inRange` which doesn't coerce arguments.\n         *\n         * @private\n         * @param {number} number The number to check.\n         * @param {number} start The start of the range.\n         * @param {number} end The end of the range.\n         * @returns {boolean} Returns `true` if `number` is in the range, else `false`.\n         */function baseInRange(number,start,end){return number>=nativeMin(start,end)&&number<nativeMax(start,end);}/**\n         * The base implementation of methods like `_.intersection`, without support\n         * for iteratee shorthands, that accepts an array of arrays to inspect.\n         *\n         * @private\n         * @param {Array} arrays The arrays to inspect.\n         * @param {Function} [iteratee] The iteratee invoked per element.\n         * @param {Function} [comparator] The comparator invoked per element.\n         * @returns {Array} Returns the new array of shared values.\n         */function baseIntersection(arrays,iteratee,comparator){var includes=comparator?arrayIncludesWith:arrayIncludes,length=arrays[0].length,othLength=arrays.length,othIndex=othLength,caches=Array(othLength),maxLength=Infinity,result=[];while(othIndex--){var array=arrays[othIndex];if(othIndex&&iteratee){array=arrayMap(array,baseUnary(iteratee));}maxLength=nativeMin(array.length,maxLength);caches[othIndex]=!comparator&&(iteratee||length>=120&&array.length>=120)?new SetCache(othIndex&&array):undefined;}array=arrays[0];var index=-1,seen=caches[0];outer:while(++index<length&&result.length<maxLength){var value=array[index],computed=iteratee?iteratee(value):value;value=comparator||value!==0?value:0;if(!(seen?cacheHas(seen,computed):includes(result,computed,comparator))){othIndex=othLength;while(--othIndex){var cache=caches[othIndex];if(!(cache?cacheHas(cache,computed):includes(arrays[othIndex],computed,comparator))){continue outer;}}if(seen){seen.push(computed);}result.push(value);}}return result;}/**\n         * The base implementation of `_.invert` and `_.invertBy` which inverts\n         * `object` with values transformed by `iteratee` and set by `setter`.\n         *\n         * @private\n         * @param {Object} object The object to iterate over.\n         * @param {Function} setter The function to set `accumulator` values.\n         * @param {Function} iteratee The iteratee to transform values.\n         * @param {Object} accumulator The initial inverted object.\n         * @returns {Function} Returns `accumulator`.\n         */function baseInverter(object,setter,iteratee,accumulator){baseForOwn(object,function(value,key,object){setter(accumulator,iteratee(value),key,object);});return accumulator;}/**\n         * The base implementation of `_.invoke` without support for individual\n         * method arguments.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @param {Array|string} path The path of the method to invoke.\n         * @param {Array} args The arguments to invoke the method with.\n         * @returns {*} Returns the result of the invoked method.\n         */function baseInvoke(object,path,args){path=castPath(path,object);object=parent(object,path);var func=object==null?object:object[toKey(last(path))];return func==null?undefined:apply(func,object,args);}/**\n         * The base implementation of `_.isArguments`.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n         */function baseIsArguments(value){return isObjectLike(value)&&baseGetTag(value)==argsTag;}/**\n         * The base implementation of `_.isArrayBuffer` without Node.js optimizations.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is an array buffer, else `false`.\n         */function baseIsArrayBuffer(value){return isObjectLike(value)&&baseGetTag(value)==arrayBufferTag;}/**\n         * The base implementation of `_.isDate` without Node.js optimizations.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a date object, else `false`.\n         */function baseIsDate(value){return isObjectLike(value)&&baseGetTag(value)==dateTag;}/**\n         * The base implementation of `_.isEqual` which supports partial comparisons\n         * and tracks traversed objects.\n         *\n         * @private\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @param {boolean} bitmask The bitmask flags.\n         *  1 - Unordered comparison\n         *  2 - Partial comparison\n         * @param {Function} [customizer] The function to customize comparisons.\n         * @param {Object} [stack] Tracks traversed `value` and `other` objects.\n         * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n         */function baseIsEqual(value,other,bitmask,customizer,stack){if(value===other){return true;}if(value==null||other==null||!isObjectLike(value)&&!isObjectLike(other)){return value!==value&&other!==other;}return baseIsEqualDeep(value,other,bitmask,customizer,baseIsEqual,stack);}/**\n         * A specialized version of `baseIsEqual` for arrays and objects which performs\n         * deep comparisons and tracks traversed objects enabling objects with circular\n         * references to be compared.\n         *\n         * @private\n         * @param {Object} object The object to compare.\n         * @param {Object} other The other object to compare.\n         * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details.\n         * @param {Function} customizer The function to customize comparisons.\n         * @param {Function} equalFunc The function to determine equivalents of values.\n         * @param {Object} [stack] Tracks traversed `object` and `other` objects.\n         * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n         */function baseIsEqualDeep(object,other,bitmask,customizer,equalFunc,stack){var objIsArr=isArray(object),othIsArr=isArray(other),objTag=objIsArr?arrayTag:getTag(object),othTag=othIsArr?arrayTag:getTag(other);objTag=objTag==argsTag?objectTag:objTag;othTag=othTag==argsTag?objectTag:othTag;var objIsObj=objTag==objectTag,othIsObj=othTag==objectTag,isSameTag=objTag==othTag;if(isSameTag&&isBuffer(object)){if(!isBuffer(other)){return false;}objIsArr=true;objIsObj=false;}if(isSameTag&&!objIsObj){stack||(stack=new Stack());return objIsArr||isTypedArray(object)?equalArrays(object,other,bitmask,customizer,equalFunc,stack):equalByTag(object,other,objTag,bitmask,customizer,equalFunc,stack);}if(!(bitmask&COMPARE_PARTIAL_FLAG)){var objIsWrapped=objIsObj&&hasOwnProperty.call(object,'__wrapped__'),othIsWrapped=othIsObj&&hasOwnProperty.call(other,'__wrapped__');if(objIsWrapped||othIsWrapped){var objUnwrapped=objIsWrapped?object.value():object,othUnwrapped=othIsWrapped?other.value():other;stack||(stack=new Stack());return equalFunc(objUnwrapped,othUnwrapped,bitmask,customizer,stack);}}if(!isSameTag){return false;}stack||(stack=new Stack());return equalObjects(object,other,bitmask,customizer,equalFunc,stack);}/**\n         * The base implementation of `_.isMap` without Node.js optimizations.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a map, else `false`.\n         */function baseIsMap(value){return isObjectLike(value)&&getTag(value)==mapTag;}/**\n         * The base implementation of `_.isMatch` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Object} object The object to inspect.\n         * @param {Object} source The object of property values to match.\n         * @param {Array} matchData The property names, values, and compare flags to match.\n         * @param {Function} [customizer] The function to customize comparisons.\n         * @returns {boolean} Returns `true` if `object` is a match, else `false`.\n         */function baseIsMatch(object,source,matchData,customizer){var index=matchData.length,length=index,noCustomizer=!customizer;if(object==null){return!length;}object=Object(object);while(index--){var data=matchData[index];if(noCustomizer&&data[2]?data[1]!==object[data[0]]:!(data[0]in object)){return false;}}while(++index<length){data=matchData[index];var key=data[0],objValue=object[key],srcValue=data[1];if(noCustomizer&&data[2]){if(objValue===undefined&&!(key in object)){return false;}}else{var stack=new Stack();if(customizer){var result=customizer(objValue,srcValue,key,object,source,stack);}if(!(result===undefined?baseIsEqual(srcValue,objValue,COMPARE_PARTIAL_FLAG|COMPARE_UNORDERED_FLAG,customizer,stack):result)){return false;}}}return true;}/**\n         * The base implementation of `_.isNative` without bad shim checks.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a native function,\n         *  else `false`.\n         */function baseIsNative(value){if(!isObject(value)||isMasked(value)){return false;}var pattern=isFunction(value)?reIsNative:reIsHostCtor;return pattern.test(toSource(value));}/**\n         * The base implementation of `_.isRegExp` without Node.js optimizations.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a regexp, else `false`.\n         */function baseIsRegExp(value){return isObjectLike(value)&&baseGetTag(value)==regexpTag;}/**\n         * The base implementation of `_.isSet` without Node.js optimizations.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a set, else `false`.\n         */function baseIsSet(value){return isObjectLike(value)&&getTag(value)==setTag;}/**\n         * The base implementation of `_.isTypedArray` without Node.js optimizations.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a typed array, else `false`.\n         */function baseIsTypedArray(value){return isObjectLike(value)&&isLength(value.length)&&!!typedArrayTags[baseGetTag(value)];}/**\n         * The base implementation of `_.iteratee`.\n         *\n         * @private\n         * @param {*} [value=_.identity] The value to convert to an iteratee.\n         * @returns {Function} Returns the iteratee.\n         */function baseIteratee(value){// Don't store the `typeof` result in a variable to avoid a JIT bug in Safari 9.\n// See https://bugs.webkit.org/show_bug.cgi?id=156034 for more details.\nif(typeof value==='function'){return value;}if(value==null){return identity;}if((typeof value==='undefined'?'undefined':_typeof(value))==='object'){return isArray(value)?baseMatchesProperty(value[0],value[1]):baseMatches(value);}return property(value);}/**\n         * The base implementation of `_.keys` which doesn't treat sparse arrays as dense.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of property names.\n         */function baseKeys(object){if(!isPrototype(object)){return nativeKeys(object);}var result=[];for(var key in Object(object)){if(hasOwnProperty.call(object,key)&&key!='constructor'){result.push(key);}}return result;}/**\n         * The base implementation of `_.keysIn` which doesn't treat sparse arrays as dense.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of property names.\n         */function baseKeysIn(object){if(!isObject(object)){return nativeKeysIn(object);}var isProto=isPrototype(object),result=[];for(var key in object){if(!(key=='constructor'&&(isProto||!hasOwnProperty.call(object,key)))){result.push(key);}}return result;}/**\n         * The base implementation of `_.lt` which doesn't coerce arguments.\n         *\n         * @private\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @returns {boolean} Returns `true` if `value` is less than `other`,\n         *  else `false`.\n         */function baseLt(value,other){return value<other;}/**\n         * The base implementation of `_.map` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} iteratee The function invoked per iteration.\n         * @returns {Array} Returns the new mapped array.\n         */function baseMap(collection,iteratee){var index=-1,result=isArrayLike(collection)?Array(collection.length):[];baseEach(collection,function(value,key,collection){result[++index]=iteratee(value,key,collection);});return result;}/**\n         * The base implementation of `_.matches` which doesn't clone `source`.\n         *\n         * @private\n         * @param {Object} source The object of property values to match.\n         * @returns {Function} Returns the new spec function.\n         */function baseMatches(source){var matchData=getMatchData(source);if(matchData.length==1&&matchData[0][2]){return matchesStrictComparable(matchData[0][0],matchData[0][1]);}return function(object){return object===source||baseIsMatch(object,source,matchData);};}/**\n         * The base implementation of `_.matchesProperty` which doesn't clone `srcValue`.\n         *\n         * @private\n         * @param {string} path The path of the property to get.\n         * @param {*} srcValue The value to match.\n         * @returns {Function} Returns the new spec function.\n         */function baseMatchesProperty(path,srcValue){if(isKey(path)&&isStrictComparable(srcValue)){return matchesStrictComparable(toKey(path),srcValue);}return function(object){var objValue=get(object,path);return objValue===undefined&&objValue===srcValue?hasIn(object,path):baseIsEqual(srcValue,objValue,COMPARE_PARTIAL_FLAG|COMPARE_UNORDERED_FLAG);};}/**\n         * The base implementation of `_.merge` without support for multiple sources.\n         *\n         * @private\n         * @param {Object} object The destination object.\n         * @param {Object} source The source object.\n         * @param {number} srcIndex The index of `source`.\n         * @param {Function} [customizer] The function to customize merged values.\n         * @param {Object} [stack] Tracks traversed source values and their merged\n         *  counterparts.\n         */function baseMerge(object,source,srcIndex,customizer,stack){if(object===source){return;}baseFor(source,function(srcValue,key){if(isObject(srcValue)){stack||(stack=new Stack());baseMergeDeep(object,source,key,srcIndex,baseMerge,customizer,stack);}else{var newValue=customizer?customizer(safeGet(object,key),srcValue,key+'',object,source,stack):undefined;if(newValue===undefined){newValue=srcValue;}assignMergeValue(object,key,newValue);}},keysIn);}/**\n         * A specialized version of `baseMerge` for arrays and objects which performs\n         * deep merges and tracks traversed objects enabling objects with circular\n         * references to be merged.\n         *\n         * @private\n         * @param {Object} object The destination object.\n         * @param {Object} source The source object.\n         * @param {string} key The key of the value to merge.\n         * @param {number} srcIndex The index of `source`.\n         * @param {Function} mergeFunc The function to merge values.\n         * @param {Function} [customizer] The function to customize assigned values.\n         * @param {Object} [stack] Tracks traversed source values and their merged\n         *  counterparts.\n         */function baseMergeDeep(object,source,key,srcIndex,mergeFunc,customizer,stack){var objValue=safeGet(object,key),srcValue=safeGet(source,key),stacked=stack.get(srcValue);if(stacked){assignMergeValue(object,key,stacked);return;}var newValue=customizer?customizer(objValue,srcValue,key+'',object,source,stack):undefined;var isCommon=newValue===undefined;if(isCommon){var isArr=isArray(srcValue),isBuff=!isArr&&isBuffer(srcValue),isTyped=!isArr&&!isBuff&&isTypedArray(srcValue);newValue=srcValue;if(isArr||isBuff||isTyped){if(isArray(objValue)){newValue=objValue;}else if(isArrayLikeObject(objValue)){newValue=copyArray(objValue);}else if(isBuff){isCommon=false;newValue=cloneBuffer(srcValue,true);}else if(isTyped){isCommon=false;newValue=cloneTypedArray(srcValue,true);}else{newValue=[];}}else if(isPlainObject(srcValue)||isArguments(srcValue)){newValue=objValue;if(isArguments(objValue)){newValue=toPlainObject(objValue);}else if(!isObject(objValue)||srcIndex&&isFunction(objValue)){newValue=initCloneObject(srcValue);}}else{isCommon=false;}}if(isCommon){// Recursively merge objects and arrays (susceptible to call stack limits).\nstack.set(srcValue,newValue);mergeFunc(newValue,srcValue,srcIndex,customizer,stack);stack['delete'](srcValue);}assignMergeValue(object,key,newValue);}/**\n         * The base implementation of `_.nth` which doesn't coerce arguments.\n         *\n         * @private\n         * @param {Array} array The array to query.\n         * @param {number} n The index of the element to return.\n         * @returns {*} Returns the nth element of `array`.\n         */function baseNth(array,n){var length=array.length;if(!length){return;}n+=n<0?length:0;return isIndex(n,length)?array[n]:undefined;}/**\n         * The base implementation of `_.orderBy` without param guards.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function[]|Object[]|string[]} iteratees The iteratees to sort by.\n         * @param {string[]} orders The sort orders of `iteratees`.\n         * @returns {Array} Returns the new sorted array.\n         */function baseOrderBy(collection,iteratees,orders){var index=-1;iteratees=arrayMap(iteratees.length?iteratees:[identity],baseUnary(getIteratee()));var result=baseMap(collection,function(value,key,collection){var criteria=arrayMap(iteratees,function(iteratee){return iteratee(value);});return{criteria:criteria,index:++index,value:value};});return baseSortBy(result,function(object,other){return compareMultiple(object,other,orders);});}/**\n         * The base implementation of `_.pick` without support for individual\n         * property identifiers.\n         *\n         * @private\n         * @param {Object} object The source object.\n         * @param {string[]} paths The property paths to pick.\n         * @returns {Object} Returns the new object.\n         */function basePick(object,paths){return basePickBy(object,paths,function(value,path){return hasIn(object,path);});}/**\n         * The base implementation of  `_.pickBy` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Object} object The source object.\n         * @param {string[]} paths The property paths to pick.\n         * @param {Function} predicate The function invoked per property.\n         * @returns {Object} Returns the new object.\n         */function basePickBy(object,paths,predicate){var index=-1,length=paths.length,result={};while(++index<length){var path=paths[index],value=baseGet(object,path);if(predicate(value,path)){baseSet(result,castPath(path,object),value);}}return result;}/**\n         * A specialized version of `baseProperty` which supports deep paths.\n         *\n         * @private\n         * @param {Array|string} path The path of the property to get.\n         * @returns {Function} Returns the new accessor function.\n         */function basePropertyDeep(path){return function(object){return baseGet(object,path);};}/**\n         * The base implementation of `_.pullAllBy` without support for iteratee\n         * shorthands.\n         *\n         * @private\n         * @param {Array} array The array to modify.\n         * @param {Array} values The values to remove.\n         * @param {Function} [iteratee] The iteratee invoked per element.\n         * @param {Function} [comparator] The comparator invoked per element.\n         * @returns {Array} Returns `array`.\n         */function basePullAll(array,values,iteratee,comparator){var indexOf=comparator?baseIndexOfWith:baseIndexOf,index=-1,length=values.length,seen=array;if(array===values){values=copyArray(values);}if(iteratee){seen=arrayMap(array,baseUnary(iteratee));}while(++index<length){var fromIndex=0,value=values[index],computed=iteratee?iteratee(value):value;while((fromIndex=indexOf(seen,computed,fromIndex,comparator))>-1){if(seen!==array){splice.call(seen,fromIndex,1);}splice.call(array,fromIndex,1);}}return array;}/**\n         * The base implementation of `_.pullAt` without support for individual\n         * indexes or capturing the removed elements.\n         *\n         * @private\n         * @param {Array} array The array to modify.\n         * @param {number[]} indexes The indexes of elements to remove.\n         * @returns {Array} Returns `array`.\n         */function basePullAt(array,indexes){var length=array?indexes.length:0,lastIndex=length-1;while(length--){var index=indexes[length];if(length==lastIndex||index!==previous){var previous=index;if(isIndex(index)){splice.call(array,index,1);}else{baseUnset(array,index);}}}return array;}/**\n         * The base implementation of `_.random` without support for returning\n         * floating-point numbers.\n         *\n         * @private\n         * @param {number} lower The lower bound.\n         * @param {number} upper The upper bound.\n         * @returns {number} Returns the random number.\n         */function baseRandom(lower,upper){return lower+nativeFloor(nativeRandom()*(upper-lower+1));}/**\n         * The base implementation of `_.range` and `_.rangeRight` which doesn't\n         * coerce arguments.\n         *\n         * @private\n         * @param {number} start The start of the range.\n         * @param {number} end The end of the range.\n         * @param {number} step The value to increment or decrement by.\n         * @param {boolean} [fromRight] Specify iterating from right to left.\n         * @returns {Array} Returns the range of numbers.\n         */function baseRange(start,end,step,fromRight){var index=-1,length=nativeMax(nativeCeil((end-start)/(step||1)),0),result=Array(length);while(length--){result[fromRight?length:++index]=start;start+=step;}return result;}/**\n         * The base implementation of `_.repeat` which doesn't coerce arguments.\n         *\n         * @private\n         * @param {string} string The string to repeat.\n         * @param {number} n The number of times to repeat the string.\n         * @returns {string} Returns the repeated string.\n         */function baseRepeat(string,n){var result='';if(!string||n<1||n>MAX_SAFE_INTEGER){return result;}// Leverage the exponentiation by squaring algorithm for a faster repeat.\n// See https://en.wikipedia.org/wiki/Exponentiation_by_squaring for more details.\ndo{if(n%2){result+=string;}n=nativeFloor(n/2);if(n){string+=string;}}while(n);return result;}/**\n         * The base implementation of `_.rest` which doesn't validate or coerce arguments.\n         *\n         * @private\n         * @param {Function} func The function to apply a rest parameter to.\n         * @param {number} [start=func.length-1] The start position of the rest parameter.\n         * @returns {Function} Returns the new function.\n         */function baseRest(func,start){return setToString(overRest(func,start,identity),func+'');}/**\n         * The base implementation of `_.sample`.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to sample.\n         * @returns {*} Returns the random element.\n         */function baseSample(collection){return arraySample(values(collection));}/**\n         * The base implementation of `_.sampleSize` without param guards.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to sample.\n         * @param {number} n The number of elements to sample.\n         * @returns {Array} Returns the random elements.\n         */function baseSampleSize(collection,n){var array=values(collection);return shuffleSelf(array,baseClamp(n,0,array.length));}/**\n         * The base implementation of `_.set`.\n         *\n         * @private\n         * @param {Object} object The object to modify.\n         * @param {Array|string} path The path of the property to set.\n         * @param {*} value The value to set.\n         * @param {Function} [customizer] The function to customize path creation.\n         * @returns {Object} Returns `object`.\n         */function baseSet(object,path,value,customizer){if(!isObject(object)){return object;}path=castPath(path,object);var index=-1,length=path.length,lastIndex=length-1,nested=object;while(nested!=null&&++index<length){var key=toKey(path[index]),newValue=value;if(index!=lastIndex){var objValue=nested[key];newValue=customizer?customizer(objValue,key,nested):undefined;if(newValue===undefined){newValue=isObject(objValue)?objValue:isIndex(path[index+1])?[]:{};}}assignValue(nested,key,newValue);nested=nested[key];}return object;}/**\n         * The base implementation of `setData` without support for hot loop shorting.\n         *\n         * @private\n         * @param {Function} func The function to associate metadata with.\n         * @param {*} data The metadata.\n         * @returns {Function} Returns `func`.\n         */var baseSetData=!metaMap?identity:function(func,data){metaMap.set(func,data);return func;};/**\n       * The base implementation of `setToString` without support for hot loop shorting.\n       *\n       * @private\n       * @param {Function} func The function to modify.\n       * @param {Function} string The `toString` result.\n       * @returns {Function} Returns `func`.\n       */var baseSetToString=!defineProperty?identity:function(func,string){return defineProperty(func,'toString',{configurable:true,enumerable:false,value:constant(string),writable:true});};/**\n       * The base implementation of `_.shuffle`.\n       *\n       * @private\n       * @param {Array|Object} collection The collection to shuffle.\n       * @returns {Array} Returns the new shuffled array.\n       */function baseShuffle(collection){return shuffleSelf(values(collection));}/**\n         * The base implementation of `_.slice` without an iteratee call guard.\n         *\n         * @private\n         * @param {Array} array The array to slice.\n         * @param {number} [start=0] The start position.\n         * @param {number} [end=array.length] The end position.\n         * @returns {Array} Returns the slice of `array`.\n         */function baseSlice(array,start,end){var index=-1,length=array.length;if(start<0){start=-start>length?0:length+start;}end=end>length?length:end;if(end<0){end+=length;}length=start>end?0:end-start>>>0;start>>>=0;var result=Array(length);while(++index<length){result[index]=array[index+start];}return result;}/**\n         * The base implementation of `_.some` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} predicate The function invoked per iteration.\n         * @returns {boolean} Returns `true` if any element passes the predicate check,\n         *  else `false`.\n         */function baseSome(collection,predicate){var result;baseEach(collection,function(value,index,collection){result=predicate(value,index,collection);return!result;});return!!result;}/**\n         * The base implementation of `_.sortedIndex` and `_.sortedLastIndex` which\n         * performs a binary search of `array` to determine the index at which `value`\n         * should be inserted into `array` in order to maintain its sort order.\n         *\n         * @private\n         * @param {Array} array The sorted array to inspect.\n         * @param {*} value The value to evaluate.\n         * @param {boolean} [retHighest] Specify returning the highest qualified index.\n         * @returns {number} Returns the index at which `value` should be inserted\n         *  into `array`.\n         */function baseSortedIndex(array,value,retHighest){var low=0,high=array==null?low:array.length;if(typeof value==='number'&&value===value&&high<=HALF_MAX_ARRAY_LENGTH){while(low<high){var mid=low+high>>>1,computed=array[mid];if(computed!==null&&!isSymbol(computed)&&(retHighest?computed<=value:computed<value)){low=mid+1;}else{high=mid;}}return high;}return baseSortedIndexBy(array,value,identity,retHighest);}/**\n         * The base implementation of `_.sortedIndexBy` and `_.sortedLastIndexBy`\n         * which invokes `iteratee` for `value` and each element of `array` to compute\n         * their sort ranking. The iteratee is invoked with one argument; (value).\n         *\n         * @private\n         * @param {Array} array The sorted array to inspect.\n         * @param {*} value The value to evaluate.\n         * @param {Function} iteratee The iteratee invoked per element.\n         * @param {boolean} [retHighest] Specify returning the highest qualified index.\n         * @returns {number} Returns the index at which `value` should be inserted\n         *  into `array`.\n         */function baseSortedIndexBy(array,value,iteratee,retHighest){value=iteratee(value);var low=0,high=array==null?0:array.length,valIsNaN=value!==value,valIsNull=value===null,valIsSymbol=isSymbol(value),valIsUndefined=value===undefined;while(low<high){var mid=nativeFloor((low+high)/2),computed=iteratee(array[mid]),othIsDefined=computed!==undefined,othIsNull=computed===null,othIsReflexive=computed===computed,othIsSymbol=isSymbol(computed);if(valIsNaN){var setLow=retHighest||othIsReflexive;}else if(valIsUndefined){setLow=othIsReflexive&&(retHighest||othIsDefined);}else if(valIsNull){setLow=othIsReflexive&&othIsDefined&&(retHighest||!othIsNull);}else if(valIsSymbol){setLow=othIsReflexive&&othIsDefined&&!othIsNull&&(retHighest||!othIsSymbol);}else if(othIsNull||othIsSymbol){setLow=false;}else{setLow=retHighest?computed<=value:computed<value;}if(setLow){low=mid+1;}else{high=mid;}}return nativeMin(high,MAX_ARRAY_INDEX);}/**\n         * The base implementation of `_.sortedUniq` and `_.sortedUniqBy` without\n         * support for iteratee shorthands.\n         *\n         * @private\n         * @param {Array} array The array to inspect.\n         * @param {Function} [iteratee] The iteratee invoked per element.\n         * @returns {Array} Returns the new duplicate free array.\n         */function baseSortedUniq(array,iteratee){var index=-1,length=array.length,resIndex=0,result=[];while(++index<length){var value=array[index],computed=iteratee?iteratee(value):value;if(!index||!eq(computed,seen)){var seen=computed;result[resIndex++]=value===0?0:value;}}return result;}/**\n         * The base implementation of `_.toNumber` which doesn't ensure correct\n         * conversions of binary, hexadecimal, or octal string values.\n         *\n         * @private\n         * @param {*} value The value to process.\n         * @returns {number} Returns the number.\n         */function baseToNumber(value){if(typeof value==='number'){return value;}if(isSymbol(value)){return NAN;}return+value;}/**\n         * The base implementation of `_.toString` which doesn't convert nullish\n         * values to empty strings.\n         *\n         * @private\n         * @param {*} value The value to process.\n         * @returns {string} Returns the string.\n         */function baseToString(value){// Exit early for strings to avoid a performance hit in some environments.\nif(typeof value==='string'){return value;}if(isArray(value)){// Recursively convert values (susceptible to call stack limits).\nreturn arrayMap(value,baseToString)+'';}if(isSymbol(value)){return symbolToString?symbolToString.call(value):'';}var result=value+'';return result=='0'&&1/value==-INFINITY?'-0':result;}/**\n         * The base implementation of `_.uniqBy` without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Array} array The array to inspect.\n         * @param {Function} [iteratee] The iteratee invoked per element.\n         * @param {Function} [comparator] The comparator invoked per element.\n         * @returns {Array} Returns the new duplicate free array.\n         */function baseUniq(array,iteratee,comparator){var index=-1,includes=arrayIncludes,length=array.length,isCommon=true,result=[],seen=result;if(comparator){isCommon=false;includes=arrayIncludesWith;}else if(length>=LARGE_ARRAY_SIZE){var set=iteratee?null:createSet(array);if(set){return setToArray(set);}isCommon=false;includes=cacheHas;seen=new SetCache();}else{seen=iteratee?[]:result;}outer:while(++index<length){var value=array[index],computed=iteratee?iteratee(value):value;value=comparator||value!==0?value:0;if(isCommon&&computed===computed){var seenIndex=seen.length;while(seenIndex--){if(seen[seenIndex]===computed){continue outer;}}if(iteratee){seen.push(computed);}result.push(value);}else if(!includes(seen,computed,comparator)){if(seen!==result){seen.push(computed);}result.push(value);}}return result;}/**\n         * The base implementation of `_.unset`.\n         *\n         * @private\n         * @param {Object} object The object to modify.\n         * @param {Array|string} path The property path to unset.\n         * @returns {boolean} Returns `true` if the property is deleted, else `false`.\n         */function baseUnset(object,path){path=castPath(path,object);object=parent(object,path);return object==null||delete object[toKey(last(path))];}/**\n         * The base implementation of `_.update`.\n         *\n         * @private\n         * @param {Object} object The object to modify.\n         * @param {Array|string} path The path of the property to update.\n         * @param {Function} updater The function to produce the updated value.\n         * @param {Function} [customizer] The function to customize path creation.\n         * @returns {Object} Returns `object`.\n         */function baseUpdate(object,path,updater,customizer){return baseSet(object,path,updater(baseGet(object,path)),customizer);}/**\n         * The base implementation of methods like `_.dropWhile` and `_.takeWhile`\n         * without support for iteratee shorthands.\n         *\n         * @private\n         * @param {Array} array The array to query.\n         * @param {Function} predicate The function invoked per iteration.\n         * @param {boolean} [isDrop] Specify dropping elements instead of taking them.\n         * @param {boolean} [fromRight] Specify iterating from right to left.\n         * @returns {Array} Returns the slice of `array`.\n         */function baseWhile(array,predicate,isDrop,fromRight){var length=array.length,index=fromRight?length:-1;while((fromRight?index--:++index<length)&&predicate(array[index],index,array)){}return isDrop?baseSlice(array,fromRight?0:index,fromRight?index+1:length):baseSlice(array,fromRight?index+1:0,fromRight?length:index);}/**\n         * The base implementation of `wrapperValue` which returns the result of\n         * performing a sequence of actions on the unwrapped `value`, where each\n         * successive action is supplied the return value of the previous.\n         *\n         * @private\n         * @param {*} value The unwrapped value.\n         * @param {Array} actions Actions to perform to resolve the unwrapped value.\n         * @returns {*} Returns the resolved value.\n         */function baseWrapperValue(value,actions){var result=value;if(result instanceof LazyWrapper){result=result.value();}return arrayReduce(actions,function(result,action){return action.func.apply(action.thisArg,arrayPush([result],action.args));},result);}/**\n         * The base implementation of methods like `_.xor`, without support for\n         * iteratee shorthands, that accepts an array of arrays to inspect.\n         *\n         * @private\n         * @param {Array} arrays The arrays to inspect.\n         * @param {Function} [iteratee] The iteratee invoked per element.\n         * @param {Function} [comparator] The comparator invoked per element.\n         * @returns {Array} Returns the new array of values.\n         */function baseXor(arrays,iteratee,comparator){var length=arrays.length;if(length<2){return length?baseUniq(arrays[0]):[];}var index=-1,result=Array(length);while(++index<length){var array=arrays[index],othIndex=-1;while(++othIndex<length){if(othIndex!=index){result[index]=baseDifference(result[index]||array,arrays[othIndex],iteratee,comparator);}}}return baseUniq(baseFlatten(result,1),iteratee,comparator);}/**\n         * This base implementation of `_.zipObject` which assigns values using `assignFunc`.\n         *\n         * @private\n         * @param {Array} props The property identifiers.\n         * @param {Array} values The property values.\n         * @param {Function} assignFunc The function to assign values.\n         * @returns {Object} Returns the new object.\n         */function baseZipObject(props,values,assignFunc){var index=-1,length=props.length,valsLength=values.length,result={};while(++index<length){var value=index<valsLength?values[index]:undefined;assignFunc(result,props[index],value);}return result;}/**\n         * Casts `value` to an empty array if it's not an array like object.\n         *\n         * @private\n         * @param {*} value The value to inspect.\n         * @returns {Array|Object} Returns the cast array-like object.\n         */function castArrayLikeObject(value){return isArrayLikeObject(value)?value:[];}/**\n         * Casts `value` to `identity` if it's not a function.\n         *\n         * @private\n         * @param {*} value The value to inspect.\n         * @returns {Function} Returns cast function.\n         */function castFunction(value){return typeof value==='function'?value:identity;}/**\n         * Casts `value` to a path array if it's not one.\n         *\n         * @private\n         * @param {*} value The value to inspect.\n         * @param {Object} [object] The object to query keys on.\n         * @returns {Array} Returns the cast property path array.\n         */function castPath(value,object){if(isArray(value)){return value;}return isKey(value,object)?[value]:stringToPath(toString(value));}/**\n         * A `baseRest` alias which can be replaced with `identity` by module\n         * replacement plugins.\n         *\n         * @private\n         * @type {Function}\n         * @param {Function} func The function to apply a rest parameter to.\n         * @returns {Function} Returns the new function.\n         */var castRest=baseRest;/**\n         * Casts `array` to a slice if it's needed.\n         *\n         * @private\n         * @param {Array} array The array to inspect.\n         * @param {number} start The start position.\n         * @param {number} [end=array.length] The end position.\n         * @returns {Array} Returns the cast slice.\n         */function castSlice(array,start,end){var length=array.length;end=end===undefined?length:end;return!start&&end>=length?array:baseSlice(array,start,end);}/**\n         * A simple wrapper around the global [`clearTimeout`](https://mdn.io/clearTimeout).\n         *\n         * @private\n         * @param {number|Object} id The timer id or timeout object of the timer to clear.\n         */var clearTimeout=ctxClearTimeout||function(id){return root.clearTimeout(id);};/**\n       * Creates a clone of  `buffer`.\n       *\n       * @private\n       * @param {Buffer} buffer The buffer to clone.\n       * @param {boolean} [isDeep] Specify a deep clone.\n       * @returns {Buffer} Returns the cloned buffer.\n       */function cloneBuffer(buffer,isDeep){if(isDeep){return buffer.slice();}var length=buffer.length,result=allocUnsafe?allocUnsafe(length):new buffer.constructor(length);buffer.copy(result);return result;}/**\n         * Creates a clone of `arrayBuffer`.\n         *\n         * @private\n         * @param {ArrayBuffer} arrayBuffer The array buffer to clone.\n         * @returns {ArrayBuffer} Returns the cloned array buffer.\n         */function cloneArrayBuffer(arrayBuffer){var result=new arrayBuffer.constructor(arrayBuffer.byteLength);new Uint8Array(result).set(new Uint8Array(arrayBuffer));return result;}/**\n         * Creates a clone of `dataView`.\n         *\n         * @private\n         * @param {Object} dataView The data view to clone.\n         * @param {boolean} [isDeep] Specify a deep clone.\n         * @returns {Object} Returns the cloned data view.\n         */function cloneDataView(dataView,isDeep){var buffer=isDeep?cloneArrayBuffer(dataView.buffer):dataView.buffer;return new dataView.constructor(buffer,dataView.byteOffset,dataView.byteLength);}/**\n         * Creates a clone of `regexp`.\n         *\n         * @private\n         * @param {Object} regexp The regexp to clone.\n         * @returns {Object} Returns the cloned regexp.\n         */function cloneRegExp(regexp){var result=new regexp.constructor(regexp.source,reFlags.exec(regexp));result.lastIndex=regexp.lastIndex;return result;}/**\n         * Creates a clone of the `symbol` object.\n         *\n         * @private\n         * @param {Object} symbol The symbol object to clone.\n         * @returns {Object} Returns the cloned symbol object.\n         */function cloneSymbol(symbol){return symbolValueOf?Object(symbolValueOf.call(symbol)):{};}/**\n         * Creates a clone of `typedArray`.\n         *\n         * @private\n         * @param {Object} typedArray The typed array to clone.\n         * @param {boolean} [isDeep] Specify a deep clone.\n         * @returns {Object} Returns the cloned typed array.\n         */function cloneTypedArray(typedArray,isDeep){var buffer=isDeep?cloneArrayBuffer(typedArray.buffer):typedArray.buffer;return new typedArray.constructor(buffer,typedArray.byteOffset,typedArray.length);}/**\n         * Compares values to sort them in ascending order.\n         *\n         * @private\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @returns {number} Returns the sort order indicator for `value`.\n         */function compareAscending(value,other){if(value!==other){var valIsDefined=value!==undefined,valIsNull=value===null,valIsReflexive=value===value,valIsSymbol=isSymbol(value);var othIsDefined=other!==undefined,othIsNull=other===null,othIsReflexive=other===other,othIsSymbol=isSymbol(other);if(!othIsNull&&!othIsSymbol&&!valIsSymbol&&value>other||valIsSymbol&&othIsDefined&&othIsReflexive&&!othIsNull&&!othIsSymbol||valIsNull&&othIsDefined&&othIsReflexive||!valIsDefined&&othIsReflexive||!valIsReflexive){return 1;}if(!valIsNull&&!valIsSymbol&&!othIsSymbol&&value<other||othIsSymbol&&valIsDefined&&valIsReflexive&&!valIsNull&&!valIsSymbol||othIsNull&&valIsDefined&&valIsReflexive||!othIsDefined&&valIsReflexive||!othIsReflexive){return-1;}}return 0;}/**\n         * Used by `_.orderBy` to compare multiple properties of a value to another\n         * and stable sort them.\n         *\n         * If `orders` is unspecified, all values are sorted in ascending order. Otherwise,\n         * specify an order of \"desc\" for descending or \"asc\" for ascending sort order\n         * of corresponding values.\n         *\n         * @private\n         * @param {Object} object The object to compare.\n         * @param {Object} other The other object to compare.\n         * @param {boolean[]|string[]} orders The order to sort by for each property.\n         * @returns {number} Returns the sort order indicator for `object`.\n         */function compareMultiple(object,other,orders){var index=-1,objCriteria=object.criteria,othCriteria=other.criteria,length=objCriteria.length,ordersLength=orders.length;while(++index<length){var result=compareAscending(objCriteria[index],othCriteria[index]);if(result){if(index>=ordersLength){return result;}var order=orders[index];return result*(order=='desc'?-1:1);}}// Fixes an `Array#sort` bug in the JS engine embedded in Adobe applications\n// that causes it, under certain circumstances, to provide the same value for\n// `object` and `other`. See https://github.com/jashkenas/underscore/pull/1247\n// for more details.\n//\n// This also ensures a stable sort in V8 and other engines.\n// See https://bugs.chromium.org/p/v8/issues/detail?id=90 for more details.\nreturn object.index-other.index;}/**\n         * Creates an array that is the composition of partially applied arguments,\n         * placeholders, and provided arguments into a single array of arguments.\n         *\n         * @private\n         * @param {Array} args The provided arguments.\n         * @param {Array} partials The arguments to prepend to those provided.\n         * @param {Array} holders The `partials` placeholder indexes.\n         * @params {boolean} [isCurried] Specify composing for a curried function.\n         * @returns {Array} Returns the new array of composed arguments.\n         */function composeArgs(args,partials,holders,isCurried){var argsIndex=-1,argsLength=args.length,holdersLength=holders.length,leftIndex=-1,leftLength=partials.length,rangeLength=nativeMax(argsLength-holdersLength,0),result=Array(leftLength+rangeLength),isUncurried=!isCurried;while(++leftIndex<leftLength){result[leftIndex]=partials[leftIndex];}while(++argsIndex<holdersLength){if(isUncurried||argsIndex<argsLength){result[holders[argsIndex]]=args[argsIndex];}}while(rangeLength--){result[leftIndex++]=args[argsIndex++];}return result;}/**\n         * This function is like `composeArgs` except that the arguments composition\n         * is tailored for `_.partialRight`.\n         *\n         * @private\n         * @param {Array} args The provided arguments.\n         * @param {Array} partials The arguments to append to those provided.\n         * @param {Array} holders The `partials` placeholder indexes.\n         * @params {boolean} [isCurried] Specify composing for a curried function.\n         * @returns {Array} Returns the new array of composed arguments.\n         */function composeArgsRight(args,partials,holders,isCurried){var argsIndex=-1,argsLength=args.length,holdersIndex=-1,holdersLength=holders.length,rightIndex=-1,rightLength=partials.length,rangeLength=nativeMax(argsLength-holdersLength,0),result=Array(rangeLength+rightLength),isUncurried=!isCurried;while(++argsIndex<rangeLength){result[argsIndex]=args[argsIndex];}var offset=argsIndex;while(++rightIndex<rightLength){result[offset+rightIndex]=partials[rightIndex];}while(++holdersIndex<holdersLength){if(isUncurried||argsIndex<argsLength){result[offset+holders[holdersIndex]]=args[argsIndex++];}}return result;}/**\n         * Copies the values of `source` to `array`.\n         *\n         * @private\n         * @param {Array} source The array to copy values from.\n         * @param {Array} [array=[]] The array to copy values to.\n         * @returns {Array} Returns `array`.\n         */function copyArray(source,array){var index=-1,length=source.length;array||(array=Array(length));while(++index<length){array[index]=source[index];}return array;}/**\n         * Copies properties of `source` to `object`.\n         *\n         * @private\n         * @param {Object} source The object to copy properties from.\n         * @param {Array} props The property identifiers to copy.\n         * @param {Object} [object={}] The object to copy properties to.\n         * @param {Function} [customizer] The function to customize copied values.\n         * @returns {Object} Returns `object`.\n         */function copyObject(source,props,object,customizer){var isNew=!object;object||(object={});var index=-1,length=props.length;while(++index<length){var key=props[index];var newValue=customizer?customizer(object[key],source[key],key,object,source):undefined;if(newValue===undefined){newValue=source[key];}if(isNew){baseAssignValue(object,key,newValue);}else{assignValue(object,key,newValue);}}return object;}/**\n         * Copies own symbols of `source` to `object`.\n         *\n         * @private\n         * @param {Object} source The object to copy symbols from.\n         * @param {Object} [object={}] The object to copy symbols to.\n         * @returns {Object} Returns `object`.\n         */function copySymbols(source,object){return copyObject(source,getSymbols(source),object);}/**\n         * Copies own and inherited symbols of `source` to `object`.\n         *\n         * @private\n         * @param {Object} source The object to copy symbols from.\n         * @param {Object} [object={}] The object to copy symbols to.\n         * @returns {Object} Returns `object`.\n         */function copySymbolsIn(source,object){return copyObject(source,getSymbolsIn(source),object);}/**\n         * Creates a function like `_.groupBy`.\n         *\n         * @private\n         * @param {Function} setter The function to set accumulator values.\n         * @param {Function} [initializer] The accumulator object initializer.\n         * @returns {Function} Returns the new aggregator function.\n         */function createAggregator(setter,initializer){return function(collection,iteratee){var func=isArray(collection)?arrayAggregator:baseAggregator,accumulator=initializer?initializer():{};return func(collection,setter,getIteratee(iteratee,2),accumulator);};}/**\n         * Creates a function like `_.assign`.\n         *\n         * @private\n         * @param {Function} assigner The function to assign values.\n         * @returns {Function} Returns the new assigner function.\n         */function createAssigner(assigner){return baseRest(function(object,sources){var index=-1,length=sources.length,customizer=length>1?sources[length-1]:undefined,guard=length>2?sources[2]:undefined;customizer=assigner.length>3&&typeof customizer==='function'?(length--,customizer):undefined;if(guard&&isIterateeCall(sources[0],sources[1],guard)){customizer=length<3?undefined:customizer;length=1;}object=Object(object);while(++index<length){var source=sources[index];if(source){assigner(object,source,index,customizer);}}return object;});}/**\n         * Creates a `baseEach` or `baseEachRight` function.\n         *\n         * @private\n         * @param {Function} eachFunc The function to iterate over a collection.\n         * @param {boolean} [fromRight] Specify iterating from right to left.\n         * @returns {Function} Returns the new base function.\n         */function createBaseEach(eachFunc,fromRight){return function(collection,iteratee){if(collection==null){return collection;}if(!isArrayLike(collection)){return eachFunc(collection,iteratee);}var length=collection.length,index=fromRight?length:-1,iterable=Object(collection);while(fromRight?index--:++index<length){if(iteratee(iterable[index],index,iterable)===false){break;}}return collection;};}/**\n         * Creates a base function for methods like `_.forIn` and `_.forOwn`.\n         *\n         * @private\n         * @param {boolean} [fromRight] Specify iterating from right to left.\n         * @returns {Function} Returns the new base function.\n         */function createBaseFor(fromRight){return function(object,iteratee,keysFunc){var index=-1,iterable=Object(object),props=keysFunc(object),length=props.length;while(length--){var key=props[fromRight?length:++index];if(iteratee(iterable[key],key,iterable)===false){break;}}return object;};}/**\n         * Creates a function that wraps `func` to invoke it with the optional `this`\n         * binding of `thisArg`.\n         *\n         * @private\n         * @param {Function} func The function to wrap.\n         * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n         * @param {*} [thisArg] The `this` binding of `func`.\n         * @returns {Function} Returns the new wrapped function.\n         */function createBind(func,bitmask,thisArg){var isBind=bitmask&WRAP_BIND_FLAG,Ctor=createCtor(func);function wrapper(){var fn=this&&this!==root&&this instanceof wrapper?Ctor:func;return fn.apply(isBind?thisArg:this,arguments);}return wrapper;}/**\n         * Creates a function like `_.lowerFirst`.\n         *\n         * @private\n         * @param {string} methodName The name of the `String` case method to use.\n         * @returns {Function} Returns the new case function.\n         */function createCaseFirst(methodName){return function(string){string=toString(string);var strSymbols=hasUnicode(string)?stringToArray(string):undefined;var chr=strSymbols?strSymbols[0]:string.charAt(0);var trailing=strSymbols?castSlice(strSymbols,1).join(''):string.slice(1);return chr[methodName]()+trailing;};}/**\n         * Creates a function like `_.camelCase`.\n         *\n         * @private\n         * @param {Function} callback The function to combine each word.\n         * @returns {Function} Returns the new compounder function.\n         */function createCompounder(callback){return function(string){return arrayReduce(words(deburr(string).replace(reApos,'')),callback,'');};}/**\n         * Creates a function that produces an instance of `Ctor` regardless of\n         * whether it was invoked as part of a `new` expression or by `call` or `apply`.\n         *\n         * @private\n         * @param {Function} Ctor The constructor to wrap.\n         * @returns {Function} Returns the new wrapped function.\n         */function createCtor(Ctor){return function(){// Use a `switch` statement to work with class constructors. See\n// http://ecma-international.org/ecma-262/7.0/#sec-ecmascript-function-objects-call-thisargument-argumentslist\n// for more details.\nvar args=arguments;switch(args.length){case 0:return new Ctor();case 1:return new Ctor(args[0]);case 2:return new Ctor(args[0],args[1]);case 3:return new Ctor(args[0],args[1],args[2]);case 4:return new Ctor(args[0],args[1],args[2],args[3]);case 5:return new Ctor(args[0],args[1],args[2],args[3],args[4]);case 6:return new Ctor(args[0],args[1],args[2],args[3],args[4],args[5]);case 7:return new Ctor(args[0],args[1],args[2],args[3],args[4],args[5],args[6]);}var thisBinding=baseCreate(Ctor.prototype),result=Ctor.apply(thisBinding,args);// Mimic the constructor's `return` behavior.\n// See https://es5.github.io/#x13.2.2 for more details.\nreturn isObject(result)?result:thisBinding;};}/**\n         * Creates a function that wraps `func` to enable currying.\n         *\n         * @private\n         * @param {Function} func The function to wrap.\n         * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n         * @param {number} arity The arity of `func`.\n         * @returns {Function} Returns the new wrapped function.\n         */function createCurry(func,bitmask,arity){var Ctor=createCtor(func);function wrapper(){var length=arguments.length,args=Array(length),index=length,placeholder=getHolder(wrapper);while(index--){args[index]=arguments[index];}var holders=length<3&&args[0]!==placeholder&&args[length-1]!==placeholder?[]:replaceHolders(args,placeholder);length-=holders.length;if(length<arity){return createRecurry(func,bitmask,createHybrid,wrapper.placeholder,undefined,args,holders,undefined,undefined,arity-length);}var fn=this&&this!==root&&this instanceof wrapper?Ctor:func;return apply(fn,this,args);}return wrapper;}/**\n         * Creates a `_.find` or `_.findLast` function.\n         *\n         * @private\n         * @param {Function} findIndexFunc The function to find the collection index.\n         * @returns {Function} Returns the new find function.\n         */function createFind(findIndexFunc){return function(collection,predicate,fromIndex){var iterable=Object(collection);if(!isArrayLike(collection)){var iteratee=getIteratee(predicate,3);collection=keys(collection);predicate=function predicate(key){return iteratee(iterable[key],key,iterable);};}var index=findIndexFunc(collection,predicate,fromIndex);return index>-1?iterable[iteratee?collection[index]:index]:undefined;};}/**\n         * Creates a `_.flow` or `_.flowRight` function.\n         *\n         * @private\n         * @param {boolean} [fromRight] Specify iterating from right to left.\n         * @returns {Function} Returns the new flow function.\n         */function createFlow(fromRight){return flatRest(function(funcs){var length=funcs.length,index=length,prereq=LodashWrapper.prototype.thru;if(fromRight){funcs.reverse();}while(index--){var func=funcs[index];if(typeof func!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}if(prereq&&!wrapper&&getFuncName(func)=='wrapper'){var wrapper=new LodashWrapper([],true);}}index=wrapper?index:length;while(++index<length){func=funcs[index];var funcName=getFuncName(func),data=funcName=='wrapper'?getData(func):undefined;if(data&&isLaziable(data[0])&&data[1]==(WRAP_ARY_FLAG|WRAP_CURRY_FLAG|WRAP_PARTIAL_FLAG|WRAP_REARG_FLAG)&&!data[4].length&&data[9]==1){wrapper=wrapper[getFuncName(data[0])].apply(wrapper,data[3]);}else{wrapper=func.length==1&&isLaziable(func)?wrapper[funcName]():wrapper.thru(func);}}return function(){var args=arguments,value=args[0];if(wrapper&&args.length==1&&isArray(value)){return wrapper.plant(value).value();}var index=0,result=length?funcs[index].apply(this,args):value;while(++index<length){result=funcs[index].call(this,result);}return result;};});}/**\n         * Creates a function that wraps `func` to invoke it with optional `this`\n         * binding of `thisArg`, partial application, and currying.\n         *\n         * @private\n         * @param {Function|string} func The function or method name to wrap.\n         * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n         * @param {*} [thisArg] The `this` binding of `func`.\n         * @param {Array} [partials] The arguments to prepend to those provided to\n         *  the new function.\n         * @param {Array} [holders] The `partials` placeholder indexes.\n         * @param {Array} [partialsRight] The arguments to append to those provided\n         *  to the new function.\n         * @param {Array} [holdersRight] The `partialsRight` placeholder indexes.\n         * @param {Array} [argPos] The argument positions of the new function.\n         * @param {number} [ary] The arity cap of `func`.\n         * @param {number} [arity] The arity of `func`.\n         * @returns {Function} Returns the new wrapped function.\n         */function createHybrid(func,bitmask,thisArg,partials,holders,partialsRight,holdersRight,argPos,ary,arity){var isAry=bitmask&WRAP_ARY_FLAG,isBind=bitmask&WRAP_BIND_FLAG,isBindKey=bitmask&WRAP_BIND_KEY_FLAG,isCurried=bitmask&(WRAP_CURRY_FLAG|WRAP_CURRY_RIGHT_FLAG),isFlip=bitmask&WRAP_FLIP_FLAG,Ctor=isBindKey?undefined:createCtor(func);function wrapper(){var length=arguments.length,args=Array(length),index=length;while(index--){args[index]=arguments[index];}if(isCurried){var placeholder=getHolder(wrapper),holdersCount=countHolders(args,placeholder);}if(partials){args=composeArgs(args,partials,holders,isCurried);}if(partialsRight){args=composeArgsRight(args,partialsRight,holdersRight,isCurried);}length-=holdersCount;if(isCurried&&length<arity){var newHolders=replaceHolders(args,placeholder);return createRecurry(func,bitmask,createHybrid,wrapper.placeholder,thisArg,args,newHolders,argPos,ary,arity-length);}var thisBinding=isBind?thisArg:this,fn=isBindKey?thisBinding[func]:func;length=args.length;if(argPos){args=reorder(args,argPos);}else if(isFlip&&length>1){args.reverse();}if(isAry&&ary<length){args.length=ary;}if(this&&this!==root&&this instanceof wrapper){fn=Ctor||createCtor(fn);}return fn.apply(thisBinding,args);}return wrapper;}/**\n         * Creates a function like `_.invertBy`.\n         *\n         * @private\n         * @param {Function} setter The function to set accumulator values.\n         * @param {Function} toIteratee The function to resolve iteratees.\n         * @returns {Function} Returns the new inverter function.\n         */function createInverter(setter,toIteratee){return function(object,iteratee){return baseInverter(object,setter,toIteratee(iteratee),{});};}/**\n         * Creates a function that performs a mathematical operation on two values.\n         *\n         * @private\n         * @param {Function} operator The function to perform the operation.\n         * @param {number} [defaultValue] The value used for `undefined` arguments.\n         * @returns {Function} Returns the new mathematical operation function.\n         */function createMathOperation(operator,defaultValue){return function(value,other){var result;if(value===undefined&&other===undefined){return defaultValue;}if(value!==undefined){result=value;}if(other!==undefined){if(result===undefined){return other;}if(typeof value==='string'||typeof other==='string'){value=baseToString(value);other=baseToString(other);}else{value=baseToNumber(value);other=baseToNumber(other);}result=operator(value,other);}return result;};}/**\n         * Creates a function like `_.over`.\n         *\n         * @private\n         * @param {Function} arrayFunc The function to iterate over iteratees.\n         * @returns {Function} Returns the new over function.\n         */function createOver(arrayFunc){return flatRest(function(iteratees){iteratees=arrayMap(iteratees,baseUnary(getIteratee()));return baseRest(function(args){var thisArg=this;return arrayFunc(iteratees,function(iteratee){return apply(iteratee,thisArg,args);});});});}/**\n         * Creates the padding for `string` based on `length`. The `chars` string\n         * is truncated if the number of characters exceeds `length`.\n         *\n         * @private\n         * @param {number} length The padding length.\n         * @param {string} [chars=' '] The string used as padding.\n         * @returns {string} Returns the padding for `string`.\n         */function createPadding(length,chars){chars=chars===undefined?' ':baseToString(chars);var charsLength=chars.length;if(charsLength<2){return charsLength?baseRepeat(chars,length):chars;}var result=baseRepeat(chars,nativeCeil(length/stringSize(chars)));return hasUnicode(chars)?castSlice(stringToArray(result),0,length).join(''):result.slice(0,length);}/**\n         * Creates a function that wraps `func` to invoke it with the `this` binding\n         * of `thisArg` and `partials` prepended to the arguments it receives.\n         *\n         * @private\n         * @param {Function} func The function to wrap.\n         * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n         * @param {*} thisArg The `this` binding of `func`.\n         * @param {Array} partials The arguments to prepend to those provided to\n         *  the new function.\n         * @returns {Function} Returns the new wrapped function.\n         */function createPartial(func,bitmask,thisArg,partials){var isBind=bitmask&WRAP_BIND_FLAG,Ctor=createCtor(func);function wrapper(){var argsIndex=-1,argsLength=arguments.length,leftIndex=-1,leftLength=partials.length,args=Array(leftLength+argsLength),fn=this&&this!==root&&this instanceof wrapper?Ctor:func;while(++leftIndex<leftLength){args[leftIndex]=partials[leftIndex];}while(argsLength--){args[leftIndex++]=arguments[++argsIndex];}return apply(fn,isBind?thisArg:this,args);}return wrapper;}/**\n         * Creates a `_.range` or `_.rangeRight` function.\n         *\n         * @private\n         * @param {boolean} [fromRight] Specify iterating from right to left.\n         * @returns {Function} Returns the new range function.\n         */function createRange(fromRight){return function(start,end,step){if(step&&typeof step!=='number'&&isIterateeCall(start,end,step)){end=step=undefined;}// Ensure the sign of `-0` is preserved.\nstart=toFinite(start);if(end===undefined){end=start;start=0;}else{end=toFinite(end);}step=step===undefined?start<end?1:-1:toFinite(step);return baseRange(start,end,step,fromRight);};}/**\n         * Creates a function that performs a relational operation on two values.\n         *\n         * @private\n         * @param {Function} operator The function to perform the operation.\n         * @returns {Function} Returns the new relational operation function.\n         */function createRelationalOperation(operator){return function(value,other){if(!(typeof value==='string'&&typeof other==='string')){value=toNumber(value);other=toNumber(other);}return operator(value,other);};}/**\n         * Creates a function that wraps `func` to continue currying.\n         *\n         * @private\n         * @param {Function} func The function to wrap.\n         * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n         * @param {Function} wrapFunc The function to create the `func` wrapper.\n         * @param {*} placeholder The placeholder value.\n         * @param {*} [thisArg] The `this` binding of `func`.\n         * @param {Array} [partials] The arguments to prepend to those provided to\n         *  the new function.\n         * @param {Array} [holders] The `partials` placeholder indexes.\n         * @param {Array} [argPos] The argument positions of the new function.\n         * @param {number} [ary] The arity cap of `func`.\n         * @param {number} [arity] The arity of `func`.\n         * @returns {Function} Returns the new wrapped function.\n         */function createRecurry(func,bitmask,wrapFunc,placeholder,thisArg,partials,holders,argPos,ary,arity){var isCurry=bitmask&WRAP_CURRY_FLAG,newHolders=isCurry?holders:undefined,newHoldersRight=isCurry?undefined:holders,newPartials=isCurry?partials:undefined,newPartialsRight=isCurry?undefined:partials;bitmask|=isCurry?WRAP_PARTIAL_FLAG:WRAP_PARTIAL_RIGHT_FLAG;bitmask&=~(isCurry?WRAP_PARTIAL_RIGHT_FLAG:WRAP_PARTIAL_FLAG);if(!(bitmask&WRAP_CURRY_BOUND_FLAG)){bitmask&=~(WRAP_BIND_FLAG|WRAP_BIND_KEY_FLAG);}var newData=[func,bitmask,thisArg,newPartials,newHolders,newPartialsRight,newHoldersRight,argPos,ary,arity];var result=wrapFunc.apply(undefined,newData);if(isLaziable(func)){setData(result,newData);}result.placeholder=placeholder;return setWrapToString(result,func,bitmask);}/**\n         * Creates a function like `_.round`.\n         *\n         * @private\n         * @param {string} methodName The name of the `Math` method to use when rounding.\n         * @returns {Function} Returns the new round function.\n         */function createRound(methodName){var func=Math[methodName];return function(number,precision){number=toNumber(number);precision=precision==null?0:nativeMin(toInteger(precision),292);if(precision){// Shift with exponential notation to avoid floating-point issues.\n// See [MDN](https://mdn.io/round#Examples) for more details.\nvar pair=(toString(number)+'e').split('e'),value=func(pair[0]+'e'+(+pair[1]+precision));pair=(toString(value)+'e').split('e');return+(pair[0]+'e'+(+pair[1]-precision));}return func(number);};}/**\n         * Creates a set object of `values`.\n         *\n         * @private\n         * @param {Array} values The values to add to the set.\n         * @returns {Object} Returns the new set.\n         */var createSet=!(Set&&1/setToArray(new Set([,-0]))[1]==INFINITY)?noop:function(values){return new Set(values);};/**\n       * Creates a `_.toPairs` or `_.toPairsIn` function.\n       *\n       * @private\n       * @param {Function} keysFunc The function to get the keys of a given object.\n       * @returns {Function} Returns the new pairs function.\n       */function createToPairs(keysFunc){return function(object){var tag=getTag(object);if(tag==mapTag){return mapToArray(object);}if(tag==setTag){return setToPairs(object);}return baseToPairs(object,keysFunc(object));};}/**\n         * Creates a function that either curries or invokes `func` with optional\n         * `this` binding and partially applied arguments.\n         *\n         * @private\n         * @param {Function|string} func The function or method name to wrap.\n         * @param {number} bitmask The bitmask flags.\n         *    1 - `_.bind`\n         *    2 - `_.bindKey`\n         *    4 - `_.curry` or `_.curryRight` of a bound function\n         *    8 - `_.curry`\n         *   16 - `_.curryRight`\n         *   32 - `_.partial`\n         *   64 - `_.partialRight`\n         *  128 - `_.rearg`\n         *  256 - `_.ary`\n         *  512 - `_.flip`\n         * @param {*} [thisArg] The `this` binding of `func`.\n         * @param {Array} [partials] The arguments to be partially applied.\n         * @param {Array} [holders] The `partials` placeholder indexes.\n         * @param {Array} [argPos] The argument positions of the new function.\n         * @param {number} [ary] The arity cap of `func`.\n         * @param {number} [arity] The arity of `func`.\n         * @returns {Function} Returns the new wrapped function.\n         */function createWrap(func,bitmask,thisArg,partials,holders,argPos,ary,arity){var isBindKey=bitmask&WRAP_BIND_KEY_FLAG;if(!isBindKey&&typeof func!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}var length=partials?partials.length:0;if(!length){bitmask&=~(WRAP_PARTIAL_FLAG|WRAP_PARTIAL_RIGHT_FLAG);partials=holders=undefined;}ary=ary===undefined?ary:nativeMax(toInteger(ary),0);arity=arity===undefined?arity:toInteger(arity);length-=holders?holders.length:0;if(bitmask&WRAP_PARTIAL_RIGHT_FLAG){var partialsRight=partials,holdersRight=holders;partials=holders=undefined;}var data=isBindKey?undefined:getData(func);var newData=[func,bitmask,thisArg,partials,holders,partialsRight,holdersRight,argPos,ary,arity];if(data){mergeData(newData,data);}func=newData[0];bitmask=newData[1];thisArg=newData[2];partials=newData[3];holders=newData[4];arity=newData[9]=newData[9]===undefined?isBindKey?0:func.length:nativeMax(newData[9]-length,0);if(!arity&&bitmask&(WRAP_CURRY_FLAG|WRAP_CURRY_RIGHT_FLAG)){bitmask&=~(WRAP_CURRY_FLAG|WRAP_CURRY_RIGHT_FLAG);}if(!bitmask||bitmask==WRAP_BIND_FLAG){var result=createBind(func,bitmask,thisArg);}else if(bitmask==WRAP_CURRY_FLAG||bitmask==WRAP_CURRY_RIGHT_FLAG){result=createCurry(func,bitmask,arity);}else if((bitmask==WRAP_PARTIAL_FLAG||bitmask==(WRAP_BIND_FLAG|WRAP_PARTIAL_FLAG))&&!holders.length){result=createPartial(func,bitmask,thisArg,partials);}else{result=createHybrid.apply(undefined,newData);}var setter=data?baseSetData:setData;return setWrapToString(setter(result,newData),func,bitmask);}/**\n         * Used by `_.defaults` to customize its `_.assignIn` use to assign properties\n         * of source objects to the destination object for all destination properties\n         * that resolve to `undefined`.\n         *\n         * @private\n         * @param {*} objValue The destination value.\n         * @param {*} srcValue The source value.\n         * @param {string} key The key of the property to assign.\n         * @param {Object} object The parent object of `objValue`.\n         * @returns {*} Returns the value to assign.\n         */function customDefaultsAssignIn(objValue,srcValue,key,object){if(objValue===undefined||eq(objValue,objectProto[key])&&!hasOwnProperty.call(object,key)){return srcValue;}return objValue;}/**\n         * Used by `_.defaultsDeep` to customize its `_.merge` use to merge source\n         * objects into destination objects that are passed thru.\n         *\n         * @private\n         * @param {*} objValue The destination value.\n         * @param {*} srcValue The source value.\n         * @param {string} key The key of the property to merge.\n         * @param {Object} object The parent object of `objValue`.\n         * @param {Object} source The parent object of `srcValue`.\n         * @param {Object} [stack] Tracks traversed source values and their merged\n         *  counterparts.\n         * @returns {*} Returns the value to assign.\n         */function customDefaultsMerge(objValue,srcValue,key,object,source,stack){if(isObject(objValue)&&isObject(srcValue)){// Recursively merge objects and arrays (susceptible to call stack limits).\nstack.set(srcValue,objValue);baseMerge(objValue,srcValue,undefined,customDefaultsMerge,stack);stack['delete'](srcValue);}return objValue;}/**\n         * Used by `_.omit` to customize its `_.cloneDeep` use to only clone plain\n         * objects.\n         *\n         * @private\n         * @param {*} value The value to inspect.\n         * @param {string} key The key of the property to inspect.\n         * @returns {*} Returns the uncloned value or `undefined` to defer cloning to `_.cloneDeep`.\n         */function customOmitClone(value){return isPlainObject(value)?undefined:value;}/**\n         * A specialized version of `baseIsEqualDeep` for arrays with support for\n         * partial deep comparisons.\n         *\n         * @private\n         * @param {Array} array The array to compare.\n         * @param {Array} other The other array to compare.\n         * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details.\n         * @param {Function} customizer The function to customize comparisons.\n         * @param {Function} equalFunc The function to determine equivalents of values.\n         * @param {Object} stack Tracks traversed `array` and `other` objects.\n         * @returns {boolean} Returns `true` if the arrays are equivalent, else `false`.\n         */function equalArrays(array,other,bitmask,customizer,equalFunc,stack){var isPartial=bitmask&COMPARE_PARTIAL_FLAG,arrLength=array.length,othLength=other.length;if(arrLength!=othLength&&!(isPartial&&othLength>arrLength)){return false;}// Assume cyclic values are equal.\nvar stacked=stack.get(array);if(stacked&&stack.get(other)){return stacked==other;}var index=-1,result=true,seen=bitmask&COMPARE_UNORDERED_FLAG?new SetCache():undefined;stack.set(array,other);stack.set(other,array);// Ignore non-index properties.\nwhile(++index<arrLength){var arrValue=array[index],othValue=other[index];if(customizer){var compared=isPartial?customizer(othValue,arrValue,index,other,array,stack):customizer(arrValue,othValue,index,array,other,stack);}if(compared!==undefined){if(compared){continue;}result=false;break;}// Recursively compare arrays (susceptible to call stack limits).\nif(seen){if(!arraySome(other,function(othValue,othIndex){if(!cacheHas(seen,othIndex)&&(arrValue===othValue||equalFunc(arrValue,othValue,bitmask,customizer,stack))){return seen.push(othIndex);}})){result=false;break;}}else if(!(arrValue===othValue||equalFunc(arrValue,othValue,bitmask,customizer,stack))){result=false;break;}}stack['delete'](array);stack['delete'](other);return result;}/**\n         * A specialized version of `baseIsEqualDeep` for comparing objects of\n         * the same `toStringTag`.\n         *\n         * **Note:** This function only supports comparing values with tags of\n         * `Boolean`, `Date`, `Error`, `Number`, `RegExp`, or `String`.\n         *\n         * @private\n         * @param {Object} object The object to compare.\n         * @param {Object} other The other object to compare.\n         * @param {string} tag The `toStringTag` of the objects to compare.\n         * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details.\n         * @param {Function} customizer The function to customize comparisons.\n         * @param {Function} equalFunc The function to determine equivalents of values.\n         * @param {Object} stack Tracks traversed `object` and `other` objects.\n         * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n         */function equalByTag(object,other,tag,bitmask,customizer,equalFunc,stack){switch(tag){case dataViewTag:if(object.byteLength!=other.byteLength||object.byteOffset!=other.byteOffset){return false;}object=object.buffer;other=other.buffer;case arrayBufferTag:if(object.byteLength!=other.byteLength||!equalFunc(new Uint8Array(object),new Uint8Array(other))){return false;}return true;case boolTag:case dateTag:case numberTag:// Coerce booleans to `1` or `0` and dates to milliseconds.\n// Invalid dates are coerced to `NaN`.\nreturn eq(+object,+other);case errorTag:return object.name==other.name&&object.message==other.message;case regexpTag:case stringTag:// Coerce regexes to strings and treat strings, primitives and objects,\n// as equal. See http://www.ecma-international.org/ecma-262/7.0/#sec-regexp.prototype.tostring\n// for more details.\nreturn object==other+'';case mapTag:var convert=mapToArray;case setTag:var isPartial=bitmask&COMPARE_PARTIAL_FLAG;convert||(convert=setToArray);if(object.size!=other.size&&!isPartial){return false;}// Assume cyclic values are equal.\nvar stacked=stack.get(object);if(stacked){return stacked==other;}bitmask|=COMPARE_UNORDERED_FLAG;// Recursively compare objects (susceptible to call stack limits).\nstack.set(object,other);var result=equalArrays(convert(object),convert(other),bitmask,customizer,equalFunc,stack);stack['delete'](object);return result;case symbolTag:if(symbolValueOf){return symbolValueOf.call(object)==symbolValueOf.call(other);}}return false;}/**\n         * A specialized version of `baseIsEqualDeep` for objects with support for\n         * partial deep comparisons.\n         *\n         * @private\n         * @param {Object} object The object to compare.\n         * @param {Object} other The other object to compare.\n         * @param {number} bitmask The bitmask flags. See `baseIsEqual` for more details.\n         * @param {Function} customizer The function to customize comparisons.\n         * @param {Function} equalFunc The function to determine equivalents of values.\n         * @param {Object} stack Tracks traversed `object` and `other` objects.\n         * @returns {boolean} Returns `true` if the objects are equivalent, else `false`.\n         */function equalObjects(object,other,bitmask,customizer,equalFunc,stack){var isPartial=bitmask&COMPARE_PARTIAL_FLAG,objProps=getAllKeys(object),objLength=objProps.length,othProps=getAllKeys(other),othLength=othProps.length;if(objLength!=othLength&&!isPartial){return false;}var index=objLength;while(index--){var key=objProps[index];if(!(isPartial?key in other:hasOwnProperty.call(other,key))){return false;}}// Assume cyclic values are equal.\nvar stacked=stack.get(object);if(stacked&&stack.get(other)){return stacked==other;}var result=true;stack.set(object,other);stack.set(other,object);var skipCtor=isPartial;while(++index<objLength){key=objProps[index];var objValue=object[key],othValue=other[key];if(customizer){var compared=isPartial?customizer(othValue,objValue,key,other,object,stack):customizer(objValue,othValue,key,object,other,stack);}// Recursively compare objects (susceptible to call stack limits).\nif(!(compared===undefined?objValue===othValue||equalFunc(objValue,othValue,bitmask,customizer,stack):compared)){result=false;break;}skipCtor||(skipCtor=key=='constructor');}if(result&&!skipCtor){var objCtor=object.constructor,othCtor=other.constructor;// Non `Object` object instances with different constructors are not equal.\nif(objCtor!=othCtor&&'constructor'in object&&'constructor'in other&&!(typeof objCtor==='function'&&objCtor instanceof objCtor&&typeof othCtor==='function'&&othCtor instanceof othCtor)){result=false;}}stack['delete'](object);stack['delete'](other);return result;}/**\n         * A specialized version of `baseRest` which flattens the rest array.\n         *\n         * @private\n         * @param {Function} func The function to apply a rest parameter to.\n         * @returns {Function} Returns the new function.\n         */function flatRest(func){return setToString(overRest(func,undefined,flatten),func+'');}/**\n         * Creates an array of own enumerable property names and symbols of `object`.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of property names and symbols.\n         */function getAllKeys(object){return baseGetAllKeys(object,keys,getSymbols);}/**\n         * Creates an array of own and inherited enumerable property names and\n         * symbols of `object`.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of property names and symbols.\n         */function getAllKeysIn(object){return baseGetAllKeys(object,keysIn,getSymbolsIn);}/**\n         * Gets metadata for `func`.\n         *\n         * @private\n         * @param {Function} func The function to query.\n         * @returns {*} Returns the metadata for `func`.\n         */var getData=!metaMap?noop:function(func){return metaMap.get(func);};/**\n       * Gets the name of `func`.\n       *\n       * @private\n       * @param {Function} func The function to query.\n       * @returns {string} Returns the function name.\n       */function getFuncName(func){var result=func.name+'',array=realNames[result],length=hasOwnProperty.call(realNames,result)?array.length:0;while(length--){var data=array[length],otherFunc=data.func;if(otherFunc==null||otherFunc==func){return data.name;}}return result;}/**\n         * Gets the argument placeholder value for `func`.\n         *\n         * @private\n         * @param {Function} func The function to inspect.\n         * @returns {*} Returns the placeholder value.\n         */function getHolder(func){var object=hasOwnProperty.call(lodash,'placeholder')?lodash:func;return object.placeholder;}/**\n         * Gets the appropriate \"iteratee\" function. If `_.iteratee` is customized,\n         * this function returns the custom method, otherwise it returns `baseIteratee`.\n         * If arguments are provided, the chosen function is invoked with them and\n         * its result is returned.\n         *\n         * @private\n         * @param {*} [value] The value to convert to an iteratee.\n         * @param {number} [arity] The arity of the created iteratee.\n         * @returns {Function} Returns the chosen function or its result.\n         */function getIteratee(){var result=lodash.iteratee||iteratee;result=result===iteratee?baseIteratee:result;return arguments.length?result(arguments[0],arguments[1]):result;}/**\n         * Gets the data for `map`.\n         *\n         * @private\n         * @param {Object} map The map to query.\n         * @param {string} key The reference key.\n         * @returns {*} Returns the map data.\n         */function getMapData(map,key){var data=map.__data__;return isKeyable(key)?data[typeof key==='string'?'string':'hash']:data.map;}/**\n         * Gets the property names, values, and compare flags of `object`.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the match data of `object`.\n         */function getMatchData(object){var result=keys(object),length=result.length;while(length--){var key=result[length],value=object[key];result[length]=[key,value,isStrictComparable(value)];}return result;}/**\n         * Gets the native function at `key` of `object`.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @param {string} key The key of the method to get.\n         * @returns {*} Returns the function if it's native, else `undefined`.\n         */function getNative(object,key){var value=getValue(object,key);return baseIsNative(value)?value:undefined;}/**\n         * A specialized version of `baseGetTag` which ignores `Symbol.toStringTag` values.\n         *\n         * @private\n         * @param {*} value The value to query.\n         * @returns {string} Returns the raw `toStringTag`.\n         */function getRawTag(value){var isOwn=hasOwnProperty.call(value,symToStringTag),tag=value[symToStringTag];try{value[symToStringTag]=undefined;var unmasked=true;}catch(e){}var result=nativeObjectToString.call(value);if(unmasked){if(isOwn){value[symToStringTag]=tag;}else{delete value[symToStringTag];}}return result;}/**\n         * Creates an array of the own enumerable symbols of `object`.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of symbols.\n         */var getSymbols=!nativeGetSymbols?stubArray:function(object){if(object==null){return[];}object=Object(object);return arrayFilter(nativeGetSymbols(object),function(symbol){return propertyIsEnumerable.call(object,symbol);});};/**\n       * Creates an array of the own and inherited enumerable symbols of `object`.\n       *\n       * @private\n       * @param {Object} object The object to query.\n       * @returns {Array} Returns the array of symbols.\n       */var getSymbolsIn=!nativeGetSymbols?stubArray:function(object){var result=[];while(object){arrayPush(result,getSymbols(object));object=getPrototype(object);}return result;};/**\n       * Gets the `toStringTag` of `value`.\n       *\n       * @private\n       * @param {*} value The value to query.\n       * @returns {string} Returns the `toStringTag`.\n       */var getTag=baseGetTag;// Fallback for data views, maps, sets, and weak maps in IE 11 and promises in Node.js < 6.\nif(DataView&&getTag(new DataView(new ArrayBuffer(1)))!=dataViewTag||Map&&getTag(new Map())!=mapTag||Promise&&getTag(Promise.resolve())!=promiseTag||Set&&getTag(new Set())!=setTag||WeakMap&&getTag(new WeakMap())!=weakMapTag){getTag=function getTag(value){var result=baseGetTag(value),Ctor=result==objectTag?value.constructor:undefined,ctorString=Ctor?toSource(Ctor):'';if(ctorString){switch(ctorString){case dataViewCtorString:return dataViewTag;case mapCtorString:return mapTag;case promiseCtorString:return promiseTag;case setCtorString:return setTag;case weakMapCtorString:return weakMapTag;}}return result;};}/**\n         * Gets the view, applying any `transforms` to the `start` and `end` positions.\n         *\n         * @private\n         * @param {number} start The start of the view.\n         * @param {number} end The end of the view.\n         * @param {Array} transforms The transformations to apply to the view.\n         * @returns {Object} Returns an object containing the `start` and `end`\n         *  positions of the view.\n         */function getView(start,end,transforms){var index=-1,length=transforms.length;while(++index<length){var data=transforms[index],size=data.size;switch(data.type){case'drop':start+=size;break;case'dropRight':end-=size;break;case'take':end=nativeMin(end,start+size);break;case'takeRight':start=nativeMax(start,end-size);break;}}return{start:start,end:end};}/**\n         * Extracts wrapper details from the `source` body comment.\n         *\n         * @private\n         * @param {string} source The source to inspect.\n         * @returns {Array} Returns the wrapper details.\n         */function getWrapDetails(source){var match=source.match(reWrapDetails);return match?match[1].split(reSplitDetails):[];}/**\n         * Checks if `path` exists on `object`.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @param {Array|string} path The path to check.\n         * @param {Function} hasFunc The function to check properties.\n         * @returns {boolean} Returns `true` if `path` exists, else `false`.\n         */function hasPath(object,path,hasFunc){path=castPath(path,object);var index=-1,length=path.length,result=false;while(++index<length){var key=toKey(path[index]);if(!(result=object!=null&&hasFunc(object,key))){break;}object=object[key];}if(result||++index!=length){return result;}length=object==null?0:object.length;return!!length&&isLength(length)&&isIndex(key,length)&&(isArray(object)||isArguments(object));}/**\n         * Initializes an array clone.\n         *\n         * @private\n         * @param {Array} array The array to clone.\n         * @returns {Array} Returns the initialized clone.\n         */function initCloneArray(array){var length=array.length,result=new array.constructor(length);// Add properties assigned by `RegExp#exec`.\nif(length&&typeof array[0]==='string'&&hasOwnProperty.call(array,'index')){result.index=array.index;result.input=array.input;}return result;}/**\n         * Initializes an object clone.\n         *\n         * @private\n         * @param {Object} object The object to clone.\n         * @returns {Object} Returns the initialized clone.\n         */function initCloneObject(object){return typeof object.constructor==='function'&&!isPrototype(object)?baseCreate(getPrototype(object)):{};}/**\n         * Initializes an object clone based on its `toStringTag`.\n         *\n         * **Note:** This function only supports cloning values with tags of\n         * `Boolean`, `Date`, `Error`, `Map`, `Number`, `RegExp`, `Set`, or `String`.\n         *\n         * @private\n         * @param {Object} object The object to clone.\n         * @param {string} tag The `toStringTag` of the object to clone.\n         * @param {boolean} [isDeep] Specify a deep clone.\n         * @returns {Object} Returns the initialized clone.\n         */function initCloneByTag(object,tag,isDeep){var Ctor=object.constructor;switch(tag){case arrayBufferTag:return cloneArrayBuffer(object);case boolTag:case dateTag:return new Ctor(+object);case dataViewTag:return cloneDataView(object,isDeep);case float32Tag:case float64Tag:case int8Tag:case int16Tag:case int32Tag:case uint8Tag:case uint8ClampedTag:case uint16Tag:case uint32Tag:return cloneTypedArray(object,isDeep);case mapTag:return new Ctor();case numberTag:case stringTag:return new Ctor(object);case regexpTag:return cloneRegExp(object);case setTag:return new Ctor();case symbolTag:return cloneSymbol(object);}}/**\n         * Inserts wrapper `details` in a comment at the top of the `source` body.\n         *\n         * @private\n         * @param {string} source The source to modify.\n         * @returns {Array} details The details to insert.\n         * @returns {string} Returns the modified source.\n         */function insertWrapDetails(source,details){var length=details.length;if(!length){return source;}var lastIndex=length-1;details[lastIndex]=(length>1?'& ':'')+details[lastIndex];details=details.join(length>2?', ':' ');return source.replace(reWrapComment,'{\\n/* [wrapped with '+details+'] */\\n');}/**\n         * Checks if `value` is a flattenable `arguments` object or array.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is flattenable, else `false`.\n         */function isFlattenable(value){return isArray(value)||isArguments(value)||!!(spreadableSymbol&&value&&value[spreadableSymbol]);}/**\n         * Checks if `value` is a valid array-like index.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @param {number} [length=MAX_SAFE_INTEGER] The upper bounds of a valid index.\n         * @returns {boolean} Returns `true` if `value` is a valid index, else `false`.\n         */function isIndex(value,length){var type=typeof value==='undefined'?'undefined':_typeof(value);length=length==null?MAX_SAFE_INTEGER:length;return!!length&&(type=='number'||type!='symbol'&&reIsUint.test(value))&&value>-1&&value%1==0&&value<length;}/**\n         * Checks if the given arguments are from an iteratee call.\n         *\n         * @private\n         * @param {*} value The potential iteratee value argument.\n         * @param {*} index The potential iteratee index or key argument.\n         * @param {*} object The potential iteratee object argument.\n         * @returns {boolean} Returns `true` if the arguments are from an iteratee call,\n         *  else `false`.\n         */function isIterateeCall(value,index,object){if(!isObject(object)){return false;}var type=typeof index==='undefined'?'undefined':_typeof(index);if(type=='number'?isArrayLike(object)&&isIndex(index,object.length):type=='string'&&index in object){return eq(object[index],value);}return false;}/**\n         * Checks if `value` is a property name and not a property path.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @param {Object} [object] The object to query keys on.\n         * @returns {boolean} Returns `true` if `value` is a property name, else `false`.\n         */function isKey(value,object){if(isArray(value)){return false;}var type=typeof value==='undefined'?'undefined':_typeof(value);if(type=='number'||type=='symbol'||type=='boolean'||value==null||isSymbol(value)){return true;}return reIsPlainProp.test(value)||!reIsDeepProp.test(value)||object!=null&&value in Object(object);}/**\n         * Checks if `value` is suitable for use as unique object key.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is suitable, else `false`.\n         */function isKeyable(value){var type=typeof value==='undefined'?'undefined':_typeof(value);return type=='string'||type=='number'||type=='symbol'||type=='boolean'?value!=='__proto__':value===null;}/**\n         * Checks if `func` has a lazy counterpart.\n         *\n         * @private\n         * @param {Function} func The function to check.\n         * @returns {boolean} Returns `true` if `func` has a lazy counterpart,\n         *  else `false`.\n         */function isLaziable(func){var funcName=getFuncName(func),other=lodash[funcName];if(typeof other!=='function'||!(funcName in LazyWrapper.prototype)){return false;}if(func===other){return true;}var data=getData(other);return!!data&&func===data[0];}/**\n         * Checks if `func` has its source masked.\n         *\n         * @private\n         * @param {Function} func The function to check.\n         * @returns {boolean} Returns `true` if `func` is masked, else `false`.\n         */function isMasked(func){return!!maskSrcKey&&maskSrcKey in func;}/**\n         * Checks if `func` is capable of being masked.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `func` is maskable, else `false`.\n         */var isMaskable=coreJsData?isFunction:stubFalse;/**\n         * Checks if `value` is likely a prototype object.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a prototype, else `false`.\n         */function isPrototype(value){var Ctor=value&&value.constructor,proto=typeof Ctor==='function'&&Ctor.prototype||objectProto;return value===proto;}/**\n         * Checks if `value` is suitable for strict equality comparisons, i.e. `===`.\n         *\n         * @private\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` if suitable for strict\n         *  equality comparisons, else `false`.\n         */function isStrictComparable(value){return value===value&&!isObject(value);}/**\n         * A specialized version of `matchesProperty` for source values suitable\n         * for strict equality comparisons, i.e. `===`.\n         *\n         * @private\n         * @param {string} key The key of the property to get.\n         * @param {*} srcValue The value to match.\n         * @returns {Function} Returns the new spec function.\n         */function matchesStrictComparable(key,srcValue){return function(object){if(object==null){return false;}return object[key]===srcValue&&(srcValue!==undefined||key in Object(object));};}/**\n         * A specialized version of `_.memoize` which clears the memoized function's\n         * cache when it exceeds `MAX_MEMOIZE_SIZE`.\n         *\n         * @private\n         * @param {Function} func The function to have its output memoized.\n         * @returns {Function} Returns the new memoized function.\n         */function memoizeCapped(func){var result=memoize(func,function(key){if(cache.size===MAX_MEMOIZE_SIZE){cache.clear();}return key;});var cache=result.cache;return result;}/**\n         * Merges the function metadata of `source` into `data`.\n         *\n         * Merging metadata reduces the number of wrappers used to invoke a function.\n         * This is possible because methods like `_.bind`, `_.curry`, and `_.partial`\n         * may be applied regardless of execution order. Methods like `_.ary` and\n         * `_.rearg` modify function arguments, making the order in which they are\n         * executed important, preventing the merging of metadata. However, we make\n         * an exception for a safe combined case where curried functions have `_.ary`\n         * and or `_.rearg` applied.\n         *\n         * @private\n         * @param {Array} data The destination metadata.\n         * @param {Array} source The source metadata.\n         * @returns {Array} Returns `data`.\n         */function mergeData(data,source){var bitmask=data[1],srcBitmask=source[1],newBitmask=bitmask|srcBitmask,isCommon=newBitmask<(WRAP_BIND_FLAG|WRAP_BIND_KEY_FLAG|WRAP_ARY_FLAG);var isCombo=srcBitmask==WRAP_ARY_FLAG&&bitmask==WRAP_CURRY_FLAG||srcBitmask==WRAP_ARY_FLAG&&bitmask==WRAP_REARG_FLAG&&data[7].length<=source[8]||srcBitmask==(WRAP_ARY_FLAG|WRAP_REARG_FLAG)&&source[7].length<=source[8]&&bitmask==WRAP_CURRY_FLAG;// Exit early if metadata can't be merged.\nif(!(isCommon||isCombo)){return data;}// Use source `thisArg` if available.\nif(srcBitmask&WRAP_BIND_FLAG){data[2]=source[2];// Set when currying a bound function.\nnewBitmask|=bitmask&WRAP_BIND_FLAG?0:WRAP_CURRY_BOUND_FLAG;}// Compose partial arguments.\nvar value=source[3];if(value){var partials=data[3];data[3]=partials?composeArgs(partials,value,source[4]):value;data[4]=partials?replaceHolders(data[3],PLACEHOLDER):source[4];}// Compose partial right arguments.\nvalue=source[5];if(value){partials=data[5];data[5]=partials?composeArgsRight(partials,value,source[6]):value;data[6]=partials?replaceHolders(data[5],PLACEHOLDER):source[6];}// Use source `argPos` if available.\nvalue=source[7];if(value){data[7]=value;}// Use source `ary` if it's smaller.\nif(srcBitmask&WRAP_ARY_FLAG){data[8]=data[8]==null?source[8]:nativeMin(data[8],source[8]);}// Use source `arity` if one is not provided.\nif(data[9]==null){data[9]=source[9];}// Use source `func` and merge bitmasks.\ndata[0]=source[0];data[1]=newBitmask;return data;}/**\n         * This function is like\n         * [`Object.keys`](http://ecma-international.org/ecma-262/7.0/#sec-object.keys)\n         * except that it includes inherited enumerable properties.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of property names.\n         */function nativeKeysIn(object){var result=[];if(object!=null){for(var key in Object(object)){result.push(key);}}return result;}/**\n         * Converts `value` to a string using `Object.prototype.toString`.\n         *\n         * @private\n         * @param {*} value The value to convert.\n         * @returns {string} Returns the converted string.\n         */function objectToString(value){return nativeObjectToString.call(value);}/**\n         * A specialized version of `baseRest` which transforms the rest array.\n         *\n         * @private\n         * @param {Function} func The function to apply a rest parameter to.\n         * @param {number} [start=func.length-1] The start position of the rest parameter.\n         * @param {Function} transform The rest array transform.\n         * @returns {Function} Returns the new function.\n         */function overRest(func,start,transform){start=nativeMax(start===undefined?func.length-1:start,0);return function(){var args=arguments,index=-1,length=nativeMax(args.length-start,0),array=Array(length);while(++index<length){array[index]=args[start+index];}index=-1;var otherArgs=Array(start+1);while(++index<start){otherArgs[index]=args[index];}otherArgs[start]=transform(array);return apply(func,this,otherArgs);};}/**\n         * Gets the parent value at `path` of `object`.\n         *\n         * @private\n         * @param {Object} object The object to query.\n         * @param {Array} path The path to get the parent value of.\n         * @returns {*} Returns the parent value.\n         */function parent(object,path){return path.length<2?object:baseGet(object,baseSlice(path,0,-1));}/**\n         * Reorder `array` according to the specified indexes where the element at\n         * the first index is assigned as the first element, the element at\n         * the second index is assigned as the second element, and so on.\n         *\n         * @private\n         * @param {Array} array The array to reorder.\n         * @param {Array} indexes The arranged array indexes.\n         * @returns {Array} Returns `array`.\n         */function reorder(array,indexes){var arrLength=array.length,length=nativeMin(indexes.length,arrLength),oldArray=copyArray(array);while(length--){var index=indexes[length];array[length]=isIndex(index,arrLength)?oldArray[index]:undefined;}return array;}/**\n         * Sets metadata for `func`.\n         *\n         * **Note:** If this function becomes hot, i.e. is invoked a lot in a short\n         * period of time, it will trip its breaker and transition to an identity\n         * function to avoid garbage collection pauses in V8. See\n         * [V8 issue 2070](https://bugs.chromium.org/p/v8/issues/detail?id=2070)\n         * for more details.\n         *\n         * @private\n         * @param {Function} func The function to associate metadata with.\n         * @param {*} data The metadata.\n         * @returns {Function} Returns `func`.\n         */var setData=shortOut(baseSetData);/**\n         * A simple wrapper around the global [`setTimeout`](https://mdn.io/setTimeout).\n         *\n         * @private\n         * @param {Function} func The function to delay.\n         * @param {number} wait The number of milliseconds to delay invocation.\n         * @returns {number|Object} Returns the timer id or timeout object.\n         */var setTimeout=ctxSetTimeout||function(func,wait){return root.setTimeout(func,wait);};/**\n       * Sets the `toString` method of `func` to return `string`.\n       *\n       * @private\n       * @param {Function} func The function to modify.\n       * @param {Function} string The `toString` result.\n       * @returns {Function} Returns `func`.\n       */var setToString=shortOut(baseSetToString);/**\n         * Sets the `toString` method of `wrapper` to mimic the source of `reference`\n         * with wrapper details in a comment at the top of the source body.\n         *\n         * @private\n         * @param {Function} wrapper The function to modify.\n         * @param {Function} reference The reference function.\n         * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n         * @returns {Function} Returns `wrapper`.\n         */function setWrapToString(wrapper,reference,bitmask){var source=reference+'';return setToString(wrapper,insertWrapDetails(source,updateWrapDetails(getWrapDetails(source),bitmask)));}/**\n         * Creates a function that'll short out and invoke `identity` instead\n         * of `func` when it's called `HOT_COUNT` or more times in `HOT_SPAN`\n         * milliseconds.\n         *\n         * @private\n         * @param {Function} func The function to restrict.\n         * @returns {Function} Returns the new shortable function.\n         */function shortOut(func){var count=0,lastCalled=0;return function(){var stamp=nativeNow(),remaining=HOT_SPAN-(stamp-lastCalled);lastCalled=stamp;if(remaining>0){if(++count>=HOT_COUNT){return arguments[0];}}else{count=0;}return func.apply(undefined,arguments);};}/**\n         * A specialized version of `_.shuffle` which mutates and sets the size of `array`.\n         *\n         * @private\n         * @param {Array} array The array to shuffle.\n         * @param {number} [size=array.length] The size of `array`.\n         * @returns {Array} Returns `array`.\n         */function shuffleSelf(array,size){var index=-1,length=array.length,lastIndex=length-1;size=size===undefined?length:size;while(++index<size){var rand=baseRandom(index,lastIndex),value=array[rand];array[rand]=array[index];array[index]=value;}array.length=size;return array;}/**\n         * Converts `string` to a property path array.\n         *\n         * @private\n         * @param {string} string The string to convert.\n         * @returns {Array} Returns the property path array.\n         */var stringToPath=memoizeCapped(function(string){var result=[];if(string.charCodeAt(0)===46/* . */){result.push('');}string.replace(rePropName,function(match,number,quote,subString){result.push(quote?subString.replace(reEscapeChar,'$1'):number||match);});return result;});/**\n       * Converts `value` to a string key if it's not a string or symbol.\n       *\n       * @private\n       * @param {*} value The value to inspect.\n       * @returns {string|symbol} Returns the key.\n       */function toKey(value){if(typeof value==='string'||isSymbol(value)){return value;}var result=value+'';return result=='0'&&1/value==-INFINITY?'-0':result;}/**\n         * Converts `func` to its source code.\n         *\n         * @private\n         * @param {Function} func The function to convert.\n         * @returns {string} Returns the source code.\n         */function toSource(func){if(func!=null){try{return funcToString.call(func);}catch(e){}try{return func+'';}catch(e){}}return'';}/**\n         * Updates wrapper `details` based on `bitmask` flags.\n         *\n         * @private\n         * @returns {Array} details The details to modify.\n         * @param {number} bitmask The bitmask flags. See `createWrap` for more details.\n         * @returns {Array} Returns `details`.\n         */function updateWrapDetails(details,bitmask){arrayEach(wrapFlags,function(pair){var value='_.'+pair[0];if(bitmask&pair[1]&&!arrayIncludes(details,value)){details.push(value);}});return details.sort();}/**\n         * Creates a clone of `wrapper`.\n         *\n         * @private\n         * @param {Object} wrapper The wrapper to clone.\n         * @returns {Object} Returns the cloned wrapper.\n         */function wrapperClone(wrapper){if(wrapper instanceof LazyWrapper){return wrapper.clone();}var result=new LodashWrapper(wrapper.__wrapped__,wrapper.__chain__);result.__actions__=copyArray(wrapper.__actions__);result.__index__=wrapper.__index__;result.__values__=wrapper.__values__;return result;}/* ------------------------------------------------------------------------*/ /**\n         * Creates an array of elements split into groups the length of `size`.\n         * If `array` can't be split evenly, the final chunk will be the remaining\n         * elements.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to process.\n         * @param {number} [size=1] The length of each chunk\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {Array} Returns the new array of chunks.\n         * @example\n         *\n         * _.chunk(['a', 'b', 'c', 'd'], 2);\n         * // => [['a', 'b'], ['c', 'd']]\n         *\n         * _.chunk(['a', 'b', 'c', 'd'], 3);\n         * // => [['a', 'b', 'c'], ['d']]\n         */function chunk(array,size,guard){if(guard?isIterateeCall(array,size,guard):size===undefined){size=1;}else{size=nativeMax(toInteger(size),0);}var length=array==null?0:array.length;if(!length||size<1){return[];}var index=0,resIndex=0,result=Array(nativeCeil(length/size));while(index<length){result[resIndex++]=baseSlice(array,index,index+=size);}return result;}/**\n         * Creates an array with all falsey values removed. The values `false`, `null`,\n         * `0`, `\"\"`, `undefined`, and `NaN` are falsey.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The array to compact.\n         * @returns {Array} Returns the new array of filtered values.\n         * @example\n         *\n         * _.compact([0, 1, false, 2, '', 3]);\n         * // => [1, 2, 3]\n         */function compact(array){var index=-1,length=array==null?0:array.length,resIndex=0,result=[];while(++index<length){var value=array[index];if(value){result[resIndex++]=value;}}return result;}/**\n         * Creates a new array concatenating `array` with any additional arrays\n         * and/or values.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to concatenate.\n         * @param {...*} [values] The values to concatenate.\n         * @returns {Array} Returns the new concatenated array.\n         * @example\n         *\n         * var array = [1];\n         * var other = _.concat(array, 2, [3], [[4]]);\n         *\n         * console.log(other);\n         * // => [1, 2, 3, [4]]\n         *\n         * console.log(array);\n         * // => [1]\n         */function concat(){var length=arguments.length;if(!length){return[];}var args=Array(length-1),array=arguments[0],index=length;while(index--){args[index-1]=arguments[index];}return arrayPush(isArray(array)?copyArray(array):[array],baseFlatten(args,1));}/**\n         * Creates an array of `array` values not included in the other given arrays\n         * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n         * for equality comparisons. The order and references of result values are\n         * determined by the first array.\n         *\n         * **Note:** Unlike `_.pullAll`, this method returns a new array.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {...Array} [values] The values to exclude.\n         * @returns {Array} Returns the new array of filtered values.\n         * @see _.without, _.xor\n         * @example\n         *\n         * _.difference([2, 1], [2, 3]);\n         * // => [1]\n         */var difference=baseRest(function(array,values){return isArrayLikeObject(array)?baseDifference(array,baseFlatten(values,1,isArrayLikeObject,true)):[];});/**\n       * This method is like `_.difference` except that it accepts `iteratee` which\n       * is invoked for each element of `array` and `values` to generate the criterion\n       * by which they're compared. The order and references of result values are\n       * determined by the first array. The iteratee is invoked with one argument:\n       * (value).\n       *\n       * **Note:** Unlike `_.pullAllBy`, this method returns a new array.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Array\n       * @param {Array} array The array to inspect.\n       * @param {...Array} [values] The values to exclude.\n       * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n       * @returns {Array} Returns the new array of filtered values.\n       * @example\n       *\n       * _.differenceBy([2.1, 1.2], [2.3, 3.4], Math.floor);\n       * // => [1.2]\n       *\n       * // The `_.property` iteratee shorthand.\n       * _.differenceBy([{ 'x': 2 }, { 'x': 1 }], [{ 'x': 1 }], 'x');\n       * // => [{ 'x': 2 }]\n       */var differenceBy=baseRest(function(array,values){var iteratee=last(values);if(isArrayLikeObject(iteratee)){iteratee=undefined;}return isArrayLikeObject(array)?baseDifference(array,baseFlatten(values,1,isArrayLikeObject,true),getIteratee(iteratee,2)):[];});/**\n       * This method is like `_.difference` except that it accepts `comparator`\n       * which is invoked to compare elements of `array` to `values`. The order and\n       * references of result values are determined by the first array. The comparator\n       * is invoked with two arguments: (arrVal, othVal).\n       *\n       * **Note:** Unlike `_.pullAllWith`, this method returns a new array.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Array\n       * @param {Array} array The array to inspect.\n       * @param {...Array} [values] The values to exclude.\n       * @param {Function} [comparator] The comparator invoked per element.\n       * @returns {Array} Returns the new array of filtered values.\n       * @example\n       *\n       * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }];\n       *\n       * _.differenceWith(objects, [{ 'x': 1, 'y': 2 }], _.isEqual);\n       * // => [{ 'x': 2, 'y': 1 }]\n       */var differenceWith=baseRest(function(array,values){var comparator=last(values);if(isArrayLikeObject(comparator)){comparator=undefined;}return isArrayLikeObject(array)?baseDifference(array,baseFlatten(values,1,isArrayLikeObject,true),undefined,comparator):[];});/**\n       * Creates a slice of `array` with `n` elements dropped from the beginning.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.5.0\n       * @category Array\n       * @param {Array} array The array to query.\n       * @param {number} [n=1] The number of elements to drop.\n       * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n       * @returns {Array} Returns the slice of `array`.\n       * @example\n       *\n       * _.drop([1, 2, 3]);\n       * // => [2, 3]\n       *\n       * _.drop([1, 2, 3], 2);\n       * // => [3]\n       *\n       * _.drop([1, 2, 3], 5);\n       * // => []\n       *\n       * _.drop([1, 2, 3], 0);\n       * // => [1, 2, 3]\n       */function drop(array,n,guard){var length=array==null?0:array.length;if(!length){return[];}n=guard||n===undefined?1:toInteger(n);return baseSlice(array,n<0?0:n,length);}/**\n         * Creates a slice of `array` with `n` elements dropped from the end.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @param {number} [n=1] The number of elements to drop.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {Array} Returns the slice of `array`.\n         * @example\n         *\n         * _.dropRight([1, 2, 3]);\n         * // => [1, 2]\n         *\n         * _.dropRight([1, 2, 3], 2);\n         * // => [1]\n         *\n         * _.dropRight([1, 2, 3], 5);\n         * // => []\n         *\n         * _.dropRight([1, 2, 3], 0);\n         * // => [1, 2, 3]\n         */function dropRight(array,n,guard){var length=array==null?0:array.length;if(!length){return[];}n=guard||n===undefined?1:toInteger(n);n=length-n;return baseSlice(array,0,n<0?0:n);}/**\n         * Creates a slice of `array` excluding elements dropped from the end.\n         * Elements are dropped until `predicate` returns falsey. The predicate is\n         * invoked with three arguments: (value, index, array).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the slice of `array`.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney',  'active': true },\n         *   { 'user': 'fred',    'active': false },\n         *   { 'user': 'pebbles', 'active': false }\n         * ];\n         *\n         * _.dropRightWhile(users, function(o) { return !o.active; });\n         * // => objects for ['barney']\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.dropRightWhile(users, { 'user': 'pebbles', 'active': false });\n         * // => objects for ['barney', 'fred']\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.dropRightWhile(users, ['active', false]);\n         * // => objects for ['barney']\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.dropRightWhile(users, 'active');\n         * // => objects for ['barney', 'fred', 'pebbles']\n         */function dropRightWhile(array,predicate){return array&&array.length?baseWhile(array,getIteratee(predicate,3),true,true):[];}/**\n         * Creates a slice of `array` excluding elements dropped from the beginning.\n         * Elements are dropped until `predicate` returns falsey. The predicate is\n         * invoked with three arguments: (value, index, array).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the slice of `array`.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney',  'active': false },\n         *   { 'user': 'fred',    'active': false },\n         *   { 'user': 'pebbles', 'active': true }\n         * ];\n         *\n         * _.dropWhile(users, function(o) { return !o.active; });\n         * // => objects for ['pebbles']\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.dropWhile(users, { 'user': 'barney', 'active': false });\n         * // => objects for ['fred', 'pebbles']\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.dropWhile(users, ['active', false]);\n         * // => objects for ['pebbles']\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.dropWhile(users, 'active');\n         * // => objects for ['barney', 'fred', 'pebbles']\n         */function dropWhile(array,predicate){return array&&array.length?baseWhile(array,getIteratee(predicate,3),true):[];}/**\n         * Fills elements of `array` with `value` from `start` up to, but not\n         * including, `end`.\n         *\n         * **Note:** This method mutates `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.2.0\n         * @category Array\n         * @param {Array} array The array to fill.\n         * @param {*} value The value to fill `array` with.\n         * @param {number} [start=0] The start position.\n         * @param {number} [end=array.length] The end position.\n         * @returns {Array} Returns `array`.\n         * @example\n         *\n         * var array = [1, 2, 3];\n         *\n         * _.fill(array, 'a');\n         * console.log(array);\n         * // => ['a', 'a', 'a']\n         *\n         * _.fill(Array(3), 2);\n         * // => [2, 2, 2]\n         *\n         * _.fill([4, 6, 8, 10], '*', 1, 3);\n         * // => [4, '*', '*', 10]\n         */function fill(array,value,start,end){var length=array==null?0:array.length;if(!length){return[];}if(start&&typeof start!=='number'&&isIterateeCall(array,value,start)){start=0;end=length;}return baseFill(array,value,start,end);}/**\n         * This method is like `_.find` except that it returns the index of the first\n         * element `predicate` returns truthy for instead of the element itself.\n         *\n         * @static\n         * @memberOf _\n         * @since 1.1.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @param {number} [fromIndex=0] The index to search from.\n         * @returns {number} Returns the index of the found element, else `-1`.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney',  'active': false },\n         *   { 'user': 'fred',    'active': false },\n         *   { 'user': 'pebbles', 'active': true }\n         * ];\n         *\n         * _.findIndex(users, function(o) { return o.user == 'barney'; });\n         * // => 0\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.findIndex(users, { 'user': 'fred', 'active': false });\n         * // => 1\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.findIndex(users, ['active', false]);\n         * // => 0\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.findIndex(users, 'active');\n         * // => 2\n         */function findIndex(array,predicate,fromIndex){var length=array==null?0:array.length;if(!length){return-1;}var index=fromIndex==null?0:toInteger(fromIndex);if(index<0){index=nativeMax(length+index,0);}return baseFindIndex(array,getIteratee(predicate,3),index);}/**\n         * This method is like `_.findIndex` except that it iterates over elements\n         * of `collection` from right to left.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.0.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @param {number} [fromIndex=array.length-1] The index to search from.\n         * @returns {number} Returns the index of the found element, else `-1`.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney',  'active': true },\n         *   { 'user': 'fred',    'active': false },\n         *   { 'user': 'pebbles', 'active': false }\n         * ];\n         *\n         * _.findLastIndex(users, function(o) { return o.user == 'pebbles'; });\n         * // => 2\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.findLastIndex(users, { 'user': 'barney', 'active': true });\n         * // => 0\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.findLastIndex(users, ['active', false]);\n         * // => 2\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.findLastIndex(users, 'active');\n         * // => 0\n         */function findLastIndex(array,predicate,fromIndex){var length=array==null?0:array.length;if(!length){return-1;}var index=length-1;if(fromIndex!==undefined){index=toInteger(fromIndex);index=fromIndex<0?nativeMax(length+index,0):nativeMin(index,length-1);}return baseFindIndex(array,getIteratee(predicate,3),index,true);}/**\n         * Flattens `array` a single level deep.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The array to flatten.\n         * @returns {Array} Returns the new flattened array.\n         * @example\n         *\n         * _.flatten([1, [2, [3, [4]], 5]]);\n         * // => [1, 2, [3, [4]], 5]\n         */function flatten(array){var length=array==null?0:array.length;return length?baseFlatten(array,1):[];}/**\n         * Recursively flattens `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to flatten.\n         * @returns {Array} Returns the new flattened array.\n         * @example\n         *\n         * _.flattenDeep([1, [2, [3, [4]], 5]]);\n         * // => [1, 2, 3, 4, 5]\n         */function flattenDeep(array){var length=array==null?0:array.length;return length?baseFlatten(array,INFINITY):[];}/**\n         * Recursively flatten `array` up to `depth` times.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.4.0\n         * @category Array\n         * @param {Array} array The array to flatten.\n         * @param {number} [depth=1] The maximum recursion depth.\n         * @returns {Array} Returns the new flattened array.\n         * @example\n         *\n         * var array = [1, [2, [3, [4]], 5]];\n         *\n         * _.flattenDepth(array, 1);\n         * // => [1, 2, [3, [4]], 5]\n         *\n         * _.flattenDepth(array, 2);\n         * // => [1, 2, 3, [4], 5]\n         */function flattenDepth(array,depth){var length=array==null?0:array.length;if(!length){return[];}depth=depth===undefined?1:toInteger(depth);return baseFlatten(array,depth);}/**\n         * The inverse of `_.toPairs`; this method returns an object composed\n         * from key-value `pairs`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} pairs The key-value pairs.\n         * @returns {Object} Returns the new object.\n         * @example\n         *\n         * _.fromPairs([['a', 1], ['b', 2]]);\n         * // => { 'a': 1, 'b': 2 }\n         */function fromPairs(pairs){var index=-1,length=pairs==null?0:pairs.length,result={};while(++index<length){var pair=pairs[index];result[pair[0]]=pair[1];}return result;}/**\n         * Gets the first element of `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @alias first\n         * @category Array\n         * @param {Array} array The array to query.\n         * @returns {*} Returns the first element of `array`.\n         * @example\n         *\n         * _.head([1, 2, 3]);\n         * // => 1\n         *\n         * _.head([]);\n         * // => undefined\n         */function head(array){return array&&array.length?array[0]:undefined;}/**\n         * Gets the index at which the first occurrence of `value` is found in `array`\n         * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n         * for equality comparisons. If `fromIndex` is negative, it's used as the\n         * offset from the end of `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {*} value The value to search for.\n         * @param {number} [fromIndex=0] The index to search from.\n         * @returns {number} Returns the index of the matched value, else `-1`.\n         * @example\n         *\n         * _.indexOf([1, 2, 1, 2], 2);\n         * // => 1\n         *\n         * // Search from the `fromIndex`.\n         * _.indexOf([1, 2, 1, 2], 2, 2);\n         * // => 3\n         */function indexOf(array,value,fromIndex){var length=array==null?0:array.length;if(!length){return-1;}var index=fromIndex==null?0:toInteger(fromIndex);if(index<0){index=nativeMax(length+index,0);}return baseIndexOf(array,value,index);}/**\n         * Gets all but the last element of `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @returns {Array} Returns the slice of `array`.\n         * @example\n         *\n         * _.initial([1, 2, 3]);\n         * // => [1, 2]\n         */function initial(array){var length=array==null?0:array.length;return length?baseSlice(array,0,-1):[];}/**\n         * Creates an array of unique values that are included in all given arrays\n         * using [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n         * for equality comparisons. The order and references of result values are\n         * determined by the first array.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {...Array} [arrays] The arrays to inspect.\n         * @returns {Array} Returns the new array of intersecting values.\n         * @example\n         *\n         * _.intersection([2, 1], [2, 3]);\n         * // => [2]\n         */var intersection=baseRest(function(arrays){var mapped=arrayMap(arrays,castArrayLikeObject);return mapped.length&&mapped[0]===arrays[0]?baseIntersection(mapped):[];});/**\n       * This method is like `_.intersection` except that it accepts `iteratee`\n       * which is invoked for each element of each `arrays` to generate the criterion\n       * by which they're compared. The order and references of result values are\n       * determined by the first array. The iteratee is invoked with one argument:\n       * (value).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Array\n       * @param {...Array} [arrays] The arrays to inspect.\n       * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n       * @returns {Array} Returns the new array of intersecting values.\n       * @example\n       *\n       * _.intersectionBy([2.1, 1.2], [2.3, 3.4], Math.floor);\n       * // => [2.1]\n       *\n       * // The `_.property` iteratee shorthand.\n       * _.intersectionBy([{ 'x': 1 }], [{ 'x': 2 }, { 'x': 1 }], 'x');\n       * // => [{ 'x': 1 }]\n       */var intersectionBy=baseRest(function(arrays){var iteratee=last(arrays),mapped=arrayMap(arrays,castArrayLikeObject);if(iteratee===last(mapped)){iteratee=undefined;}else{mapped.pop();}return mapped.length&&mapped[0]===arrays[0]?baseIntersection(mapped,getIteratee(iteratee,2)):[];});/**\n       * This method is like `_.intersection` except that it accepts `comparator`\n       * which is invoked to compare elements of `arrays`. The order and references\n       * of result values are determined by the first array. The comparator is\n       * invoked with two arguments: (arrVal, othVal).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Array\n       * @param {...Array} [arrays] The arrays to inspect.\n       * @param {Function} [comparator] The comparator invoked per element.\n       * @returns {Array} Returns the new array of intersecting values.\n       * @example\n       *\n       * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }];\n       * var others = [{ 'x': 1, 'y': 1 }, { 'x': 1, 'y': 2 }];\n       *\n       * _.intersectionWith(objects, others, _.isEqual);\n       * // => [{ 'x': 1, 'y': 2 }]\n       */var intersectionWith=baseRest(function(arrays){var comparator=last(arrays),mapped=arrayMap(arrays,castArrayLikeObject);comparator=typeof comparator==='function'?comparator:undefined;if(comparator){mapped.pop();}return mapped.length&&mapped[0]===arrays[0]?baseIntersection(mapped,undefined,comparator):[];});/**\n       * Converts all elements in `array` into a string separated by `separator`.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Array\n       * @param {Array} array The array to convert.\n       * @param {string} [separator=','] The element separator.\n       * @returns {string} Returns the joined string.\n       * @example\n       *\n       * _.join(['a', 'b', 'c'], '~');\n       * // => 'a~b~c'\n       */function join(array,separator){return array==null?'':nativeJoin.call(array,separator);}/**\n         * Gets the last element of `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @returns {*} Returns the last element of `array`.\n         * @example\n         *\n         * _.last([1, 2, 3]);\n         * // => 3\n         */function last(array){var length=array==null?0:array.length;return length?array[length-1]:undefined;}/**\n         * This method is like `_.indexOf` except that it iterates over elements of\n         * `array` from right to left.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {*} value The value to search for.\n         * @param {number} [fromIndex=array.length-1] The index to search from.\n         * @returns {number} Returns the index of the matched value, else `-1`.\n         * @example\n         *\n         * _.lastIndexOf([1, 2, 1, 2], 2);\n         * // => 3\n         *\n         * // Search from the `fromIndex`.\n         * _.lastIndexOf([1, 2, 1, 2], 2, 2);\n         * // => 1\n         */function lastIndexOf(array,value,fromIndex){var length=array==null?0:array.length;if(!length){return-1;}var index=length;if(fromIndex!==undefined){index=toInteger(fromIndex);index=index<0?nativeMax(length+index,0):nativeMin(index,length-1);}return value===value?strictLastIndexOf(array,value,index):baseFindIndex(array,baseIsNaN,index,true);}/**\n         * Gets the element at index `n` of `array`. If `n` is negative, the nth\n         * element from the end is returned.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.11.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @param {number} [n=0] The index of the element to return.\n         * @returns {*} Returns the nth element of `array`.\n         * @example\n         *\n         * var array = ['a', 'b', 'c', 'd'];\n         *\n         * _.nth(array, 1);\n         * // => 'b'\n         *\n         * _.nth(array, -2);\n         * // => 'c';\n         */function nth(array,n){return array&&array.length?baseNth(array,toInteger(n)):undefined;}/**\n         * Removes all given values from `array` using\n         * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n         * for equality comparisons.\n         *\n         * **Note:** Unlike `_.without`, this method mutates `array`. Use `_.remove`\n         * to remove elements from an array by predicate.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.0.0\n         * @category Array\n         * @param {Array} array The array to modify.\n         * @param {...*} [values] The values to remove.\n         * @returns {Array} Returns `array`.\n         * @example\n         *\n         * var array = ['a', 'b', 'c', 'a', 'b', 'c'];\n         *\n         * _.pull(array, 'a', 'c');\n         * console.log(array);\n         * // => ['b', 'b']\n         */var pull=baseRest(pullAll);/**\n         * This method is like `_.pull` except that it accepts an array of values to remove.\n         *\n         * **Note:** Unlike `_.difference`, this method mutates `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to modify.\n         * @param {Array} values The values to remove.\n         * @returns {Array} Returns `array`.\n         * @example\n         *\n         * var array = ['a', 'b', 'c', 'a', 'b', 'c'];\n         *\n         * _.pullAll(array, ['a', 'c']);\n         * console.log(array);\n         * // => ['b', 'b']\n         */function pullAll(array,values){return array&&array.length&&values&&values.length?basePullAll(array,values):array;}/**\n         * This method is like `_.pullAll` except that it accepts `iteratee` which is\n         * invoked for each element of `array` and `values` to generate the criterion\n         * by which they're compared. The iteratee is invoked with one argument: (value).\n         *\n         * **Note:** Unlike `_.differenceBy`, this method mutates `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to modify.\n         * @param {Array} values The values to remove.\n         * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n         * @returns {Array} Returns `array`.\n         * @example\n         *\n         * var array = [{ 'x': 1 }, { 'x': 2 }, { 'x': 3 }, { 'x': 1 }];\n         *\n         * _.pullAllBy(array, [{ 'x': 1 }, { 'x': 3 }], 'x');\n         * console.log(array);\n         * // => [{ 'x': 2 }]\n         */function pullAllBy(array,values,iteratee){return array&&array.length&&values&&values.length?basePullAll(array,values,getIteratee(iteratee,2)):array;}/**\n         * This method is like `_.pullAll` except that it accepts `comparator` which\n         * is invoked to compare elements of `array` to `values`. The comparator is\n         * invoked with two arguments: (arrVal, othVal).\n         *\n         * **Note:** Unlike `_.differenceWith`, this method mutates `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.6.0\n         * @category Array\n         * @param {Array} array The array to modify.\n         * @param {Array} values The values to remove.\n         * @param {Function} [comparator] The comparator invoked per element.\n         * @returns {Array} Returns `array`.\n         * @example\n         *\n         * var array = [{ 'x': 1, 'y': 2 }, { 'x': 3, 'y': 4 }, { 'x': 5, 'y': 6 }];\n         *\n         * _.pullAllWith(array, [{ 'x': 3, 'y': 4 }], _.isEqual);\n         * console.log(array);\n         * // => [{ 'x': 1, 'y': 2 }, { 'x': 5, 'y': 6 }]\n         */function pullAllWith(array,values,comparator){return array&&array.length&&values&&values.length?basePullAll(array,values,undefined,comparator):array;}/**\n         * Removes elements from `array` corresponding to `indexes` and returns an\n         * array of removed elements.\n         *\n         * **Note:** Unlike `_.at`, this method mutates `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to modify.\n         * @param {...(number|number[])} [indexes] The indexes of elements to remove.\n         * @returns {Array} Returns the new array of removed elements.\n         * @example\n         *\n         * var array = ['a', 'b', 'c', 'd'];\n         * var pulled = _.pullAt(array, [1, 3]);\n         *\n         * console.log(array);\n         * // => ['a', 'c']\n         *\n         * console.log(pulled);\n         * // => ['b', 'd']\n         */var pullAt=flatRest(function(array,indexes){var length=array==null?0:array.length,result=baseAt(array,indexes);basePullAt(array,arrayMap(indexes,function(index){return isIndex(index,length)?+index:index;}).sort(compareAscending));return result;});/**\n       * Removes all elements from `array` that `predicate` returns truthy for\n       * and returns an array of the removed elements. The predicate is invoked\n       * with three arguments: (value, index, array).\n       *\n       * **Note:** Unlike `_.filter`, this method mutates `array`. Use `_.pull`\n       * to pull elements from an array by value.\n       *\n       * @static\n       * @memberOf _\n       * @since 2.0.0\n       * @category Array\n       * @param {Array} array The array to modify.\n       * @param {Function} [predicate=_.identity] The function invoked per iteration.\n       * @returns {Array} Returns the new array of removed elements.\n       * @example\n       *\n       * var array = [1, 2, 3, 4];\n       * var evens = _.remove(array, function(n) {\n       *   return n % 2 == 0;\n       * });\n       *\n       * console.log(array);\n       * // => [1, 3]\n       *\n       * console.log(evens);\n       * // => [2, 4]\n       */function remove(array,predicate){var result=[];if(!(array&&array.length)){return result;}var index=-1,indexes=[],length=array.length;predicate=getIteratee(predicate,3);while(++index<length){var value=array[index];if(predicate(value,index,array)){result.push(value);indexes.push(index);}}basePullAt(array,indexes);return result;}/**\n         * Reverses `array` so that the first element becomes the last, the second\n         * element becomes the second to last, and so on.\n         *\n         * **Note:** This method mutates `array` and is based on\n         * [`Array#reverse`](https://mdn.io/Array/reverse).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to modify.\n         * @returns {Array} Returns `array`.\n         * @example\n         *\n         * var array = [1, 2, 3];\n         *\n         * _.reverse(array);\n         * // => [3, 2, 1]\n         *\n         * console.log(array);\n         * // => [3, 2, 1]\n         */function reverse(array){return array==null?array:nativeReverse.call(array);}/**\n         * Creates a slice of `array` from `start` up to, but not including, `end`.\n         *\n         * **Note:** This method is used instead of\n         * [`Array#slice`](https://mdn.io/Array/slice) to ensure dense arrays are\n         * returned.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to slice.\n         * @param {number} [start=0] The start position.\n         * @param {number} [end=array.length] The end position.\n         * @returns {Array} Returns the slice of `array`.\n         */function slice(array,start,end){var length=array==null?0:array.length;if(!length){return[];}if(end&&typeof end!=='number'&&isIterateeCall(array,start,end)){start=0;end=length;}else{start=start==null?0:toInteger(start);end=end===undefined?length:toInteger(end);}return baseSlice(array,start,end);}/**\n         * Uses a binary search to determine the lowest index at which `value`\n         * should be inserted into `array` in order to maintain its sort order.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The sorted array to inspect.\n         * @param {*} value The value to evaluate.\n         * @returns {number} Returns the index at which `value` should be inserted\n         *  into `array`.\n         * @example\n         *\n         * _.sortedIndex([30, 50], 40);\n         * // => 1\n         */function sortedIndex(array,value){return baseSortedIndex(array,value);}/**\n         * This method is like `_.sortedIndex` except that it accepts `iteratee`\n         * which is invoked for `value` and each element of `array` to compute their\n         * sort ranking. The iteratee is invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The sorted array to inspect.\n         * @param {*} value The value to evaluate.\n         * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n         * @returns {number} Returns the index at which `value` should be inserted\n         *  into `array`.\n         * @example\n         *\n         * var objects = [{ 'x': 4 }, { 'x': 5 }];\n         *\n         * _.sortedIndexBy(objects, { 'x': 4 }, function(o) { return o.x; });\n         * // => 0\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.sortedIndexBy(objects, { 'x': 4 }, 'x');\n         * // => 0\n         */function sortedIndexBy(array,value,iteratee){return baseSortedIndexBy(array,value,getIteratee(iteratee,2));}/**\n         * This method is like `_.indexOf` except that it performs a binary\n         * search on a sorted `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {*} value The value to search for.\n         * @returns {number} Returns the index of the matched value, else `-1`.\n         * @example\n         *\n         * _.sortedIndexOf([4, 5, 5, 5, 6], 5);\n         * // => 1\n         */function sortedIndexOf(array,value){var length=array==null?0:array.length;if(length){var index=baseSortedIndex(array,value);if(index<length&&eq(array[index],value)){return index;}}return-1;}/**\n         * This method is like `_.sortedIndex` except that it returns the highest\n         * index at which `value` should be inserted into `array` in order to\n         * maintain its sort order.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The sorted array to inspect.\n         * @param {*} value The value to evaluate.\n         * @returns {number} Returns the index at which `value` should be inserted\n         *  into `array`.\n         * @example\n         *\n         * _.sortedLastIndex([4, 5, 5, 5, 6], 5);\n         * // => 4\n         */function sortedLastIndex(array,value){return baseSortedIndex(array,value,true);}/**\n         * This method is like `_.sortedLastIndex` except that it accepts `iteratee`\n         * which is invoked for `value` and each element of `array` to compute their\n         * sort ranking. The iteratee is invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The sorted array to inspect.\n         * @param {*} value The value to evaluate.\n         * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n         * @returns {number} Returns the index at which `value` should be inserted\n         *  into `array`.\n         * @example\n         *\n         * var objects = [{ 'x': 4 }, { 'x': 5 }];\n         *\n         * _.sortedLastIndexBy(objects, { 'x': 4 }, function(o) { return o.x; });\n         * // => 1\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.sortedLastIndexBy(objects, { 'x': 4 }, 'x');\n         * // => 1\n         */function sortedLastIndexBy(array,value,iteratee){return baseSortedIndexBy(array,value,getIteratee(iteratee,2),true);}/**\n         * This method is like `_.lastIndexOf` except that it performs a binary\n         * search on a sorted `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {*} value The value to search for.\n         * @returns {number} Returns the index of the matched value, else `-1`.\n         * @example\n         *\n         * _.sortedLastIndexOf([4, 5, 5, 5, 6], 5);\n         * // => 3\n         */function sortedLastIndexOf(array,value){var length=array==null?0:array.length;if(length){var index=baseSortedIndex(array,value,true)-1;if(eq(array[index],value)){return index;}}return-1;}/**\n         * This method is like `_.uniq` except that it's designed and optimized\n         * for sorted arrays.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @returns {Array} Returns the new duplicate free array.\n         * @example\n         *\n         * _.sortedUniq([1, 1, 2]);\n         * // => [1, 2]\n         */function sortedUniq(array){return array&&array.length?baseSortedUniq(array):[];}/**\n         * This method is like `_.uniqBy` except that it's designed and optimized\n         * for sorted arrays.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {Function} [iteratee] The iteratee invoked per element.\n         * @returns {Array} Returns the new duplicate free array.\n         * @example\n         *\n         * _.sortedUniqBy([1.1, 1.2, 2.3, 2.4], Math.floor);\n         * // => [1.1, 2.3]\n         */function sortedUniqBy(array,iteratee){return array&&array.length?baseSortedUniq(array,getIteratee(iteratee,2)):[];}/**\n         * Gets all but the first element of `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @returns {Array} Returns the slice of `array`.\n         * @example\n         *\n         * _.tail([1, 2, 3]);\n         * // => [2, 3]\n         */function tail(array){var length=array==null?0:array.length;return length?baseSlice(array,1,length):[];}/**\n         * Creates a slice of `array` with `n` elements taken from the beginning.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @param {number} [n=1] The number of elements to take.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {Array} Returns the slice of `array`.\n         * @example\n         *\n         * _.take([1, 2, 3]);\n         * // => [1]\n         *\n         * _.take([1, 2, 3], 2);\n         * // => [1, 2]\n         *\n         * _.take([1, 2, 3], 5);\n         * // => [1, 2, 3]\n         *\n         * _.take([1, 2, 3], 0);\n         * // => []\n         */function take(array,n,guard){if(!(array&&array.length)){return[];}n=guard||n===undefined?1:toInteger(n);return baseSlice(array,0,n<0?0:n);}/**\n         * Creates a slice of `array` with `n` elements taken from the end.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @param {number} [n=1] The number of elements to take.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {Array} Returns the slice of `array`.\n         * @example\n         *\n         * _.takeRight([1, 2, 3]);\n         * // => [3]\n         *\n         * _.takeRight([1, 2, 3], 2);\n         * // => [2, 3]\n         *\n         * _.takeRight([1, 2, 3], 5);\n         * // => [1, 2, 3]\n         *\n         * _.takeRight([1, 2, 3], 0);\n         * // => []\n         */function takeRight(array,n,guard){var length=array==null?0:array.length;if(!length){return[];}n=guard||n===undefined?1:toInteger(n);n=length-n;return baseSlice(array,n<0?0:n,length);}/**\n         * Creates a slice of `array` with elements taken from the end. Elements are\n         * taken until `predicate` returns falsey. The predicate is invoked with\n         * three arguments: (value, index, array).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the slice of `array`.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney',  'active': true },\n         *   { 'user': 'fred',    'active': false },\n         *   { 'user': 'pebbles', 'active': false }\n         * ];\n         *\n         * _.takeRightWhile(users, function(o) { return !o.active; });\n         * // => objects for ['fred', 'pebbles']\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.takeRightWhile(users, { 'user': 'pebbles', 'active': false });\n         * // => objects for ['pebbles']\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.takeRightWhile(users, ['active', false]);\n         * // => objects for ['fred', 'pebbles']\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.takeRightWhile(users, 'active');\n         * // => []\n         */function takeRightWhile(array,predicate){return array&&array.length?baseWhile(array,getIteratee(predicate,3),false,true):[];}/**\n         * Creates a slice of `array` with elements taken from the beginning. Elements\n         * are taken until `predicate` returns falsey. The predicate is invoked with\n         * three arguments: (value, index, array).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Array\n         * @param {Array} array The array to query.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the slice of `array`.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney',  'active': false },\n         *   { 'user': 'fred',    'active': false },\n         *   { 'user': 'pebbles', 'active': true }\n         * ];\n         *\n         * _.takeWhile(users, function(o) { return !o.active; });\n         * // => objects for ['barney', 'fred']\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.takeWhile(users, { 'user': 'barney', 'active': false });\n         * // => objects for ['barney']\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.takeWhile(users, ['active', false]);\n         * // => objects for ['barney', 'fred']\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.takeWhile(users, 'active');\n         * // => []\n         */function takeWhile(array,predicate){return array&&array.length?baseWhile(array,getIteratee(predicate,3)):[];}/**\n         * Creates an array of unique values, in order, from all given arrays using\n         * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n         * for equality comparisons.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {...Array} [arrays] The arrays to inspect.\n         * @returns {Array} Returns the new array of combined values.\n         * @example\n         *\n         * _.union([2], [1, 2]);\n         * // => [2, 1]\n         */var union=baseRest(function(arrays){return baseUniq(baseFlatten(arrays,1,isArrayLikeObject,true));});/**\n       * This method is like `_.union` except that it accepts `iteratee` which is\n       * invoked for each element of each `arrays` to generate the criterion by\n       * which uniqueness is computed. Result values are chosen from the first\n       * array in which the value occurs. The iteratee is invoked with one argument:\n       * (value).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Array\n       * @param {...Array} [arrays] The arrays to inspect.\n       * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n       * @returns {Array} Returns the new array of combined values.\n       * @example\n       *\n       * _.unionBy([2.1], [1.2, 2.3], Math.floor);\n       * // => [2.1, 1.2]\n       *\n       * // The `_.property` iteratee shorthand.\n       * _.unionBy([{ 'x': 1 }], [{ 'x': 2 }, { 'x': 1 }], 'x');\n       * // => [{ 'x': 1 }, { 'x': 2 }]\n       */var unionBy=baseRest(function(arrays){var iteratee=last(arrays);if(isArrayLikeObject(iteratee)){iteratee=undefined;}return baseUniq(baseFlatten(arrays,1,isArrayLikeObject,true),getIteratee(iteratee,2));});/**\n       * This method is like `_.union` except that it accepts `comparator` which\n       * is invoked to compare elements of `arrays`. Result values are chosen from\n       * the first array in which the value occurs. The comparator is invoked\n       * with two arguments: (arrVal, othVal).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Array\n       * @param {...Array} [arrays] The arrays to inspect.\n       * @param {Function} [comparator] The comparator invoked per element.\n       * @returns {Array} Returns the new array of combined values.\n       * @example\n       *\n       * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }];\n       * var others = [{ 'x': 1, 'y': 1 }, { 'x': 1, 'y': 2 }];\n       *\n       * _.unionWith(objects, others, _.isEqual);\n       * // => [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }, { 'x': 1, 'y': 1 }]\n       */var unionWith=baseRest(function(arrays){var comparator=last(arrays);comparator=typeof comparator==='function'?comparator:undefined;return baseUniq(baseFlatten(arrays,1,isArrayLikeObject,true),undefined,comparator);});/**\n       * Creates a duplicate-free version of an array, using\n       * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n       * for equality comparisons, in which only the first occurrence of each element\n       * is kept. The order of result values is determined by the order they occur\n       * in the array.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Array\n       * @param {Array} array The array to inspect.\n       * @returns {Array} Returns the new duplicate free array.\n       * @example\n       *\n       * _.uniq([2, 1, 2]);\n       * // => [2, 1]\n       */function uniq(array){return array&&array.length?baseUniq(array):[];}/**\n         * This method is like `_.uniq` except that it accepts `iteratee` which is\n         * invoked for each element in `array` to generate the criterion by which\n         * uniqueness is computed. The order of result values is determined by the\n         * order they occur in the array. The iteratee is invoked with one argument:\n         * (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n         * @returns {Array} Returns the new duplicate free array.\n         * @example\n         *\n         * _.uniqBy([2.1, 1.2, 2.3], Math.floor);\n         * // => [2.1, 1.2]\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.uniqBy([{ 'x': 1 }, { 'x': 2 }, { 'x': 1 }], 'x');\n         * // => [{ 'x': 1 }, { 'x': 2 }]\n         */function uniqBy(array,iteratee){return array&&array.length?baseUniq(array,getIteratee(iteratee,2)):[];}/**\n         * This method is like `_.uniq` except that it accepts `comparator` which\n         * is invoked to compare elements of `array`. The order of result values is\n         * determined by the order they occur in the array.The comparator is invoked\n         * with two arguments: (arrVal, othVal).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {Function} [comparator] The comparator invoked per element.\n         * @returns {Array} Returns the new duplicate free array.\n         * @example\n         *\n         * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }, { 'x': 1, 'y': 2 }];\n         *\n         * _.uniqWith(objects, _.isEqual);\n         * // => [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }]\n         */function uniqWith(array,comparator){comparator=typeof comparator==='function'?comparator:undefined;return array&&array.length?baseUniq(array,undefined,comparator):[];}/**\n         * This method is like `_.zip` except that it accepts an array of grouped\n         * elements and creates an array regrouping the elements to their pre-zip\n         * configuration.\n         *\n         * @static\n         * @memberOf _\n         * @since 1.2.0\n         * @category Array\n         * @param {Array} array The array of grouped elements to process.\n         * @returns {Array} Returns the new array of regrouped elements.\n         * @example\n         *\n         * var zipped = _.zip(['a', 'b'], [1, 2], [true, false]);\n         * // => [['a', 1, true], ['b', 2, false]]\n         *\n         * _.unzip(zipped);\n         * // => [['a', 'b'], [1, 2], [true, false]]\n         */function unzip(array){if(!(array&&array.length)){return[];}var length=0;array=arrayFilter(array,function(group){if(isArrayLikeObject(group)){length=nativeMax(group.length,length);return true;}});return baseTimes(length,function(index){return arrayMap(array,baseProperty(index));});}/**\n         * This method is like `_.unzip` except that it accepts `iteratee` to specify\n         * how regrouped values should be combined. The iteratee is invoked with the\n         * elements of each group: (...group).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.8.0\n         * @category Array\n         * @param {Array} array The array of grouped elements to process.\n         * @param {Function} [iteratee=_.identity] The function to combine\n         *  regrouped values.\n         * @returns {Array} Returns the new array of regrouped elements.\n         * @example\n         *\n         * var zipped = _.zip([1, 2], [10, 20], [100, 200]);\n         * // => [[1, 10, 100], [2, 20, 200]]\n         *\n         * _.unzipWith(zipped, _.add);\n         * // => [3, 30, 300]\n         */function unzipWith(array,iteratee){if(!(array&&array.length)){return[];}var result=unzip(array);if(iteratee==null){return result;}return arrayMap(result,function(group){return apply(iteratee,undefined,group);});}/**\n         * Creates an array excluding all given values using\n         * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n         * for equality comparisons.\n         *\n         * **Note:** Unlike `_.pull`, this method returns a new array.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Array\n         * @param {Array} array The array to inspect.\n         * @param {...*} [values] The values to exclude.\n         * @returns {Array} Returns the new array of filtered values.\n         * @see _.difference, _.xor\n         * @example\n         *\n         * _.without([2, 1, 2, 3], 1, 2);\n         * // => [3]\n         */var without=baseRest(function(array,values){return isArrayLikeObject(array)?baseDifference(array,values):[];});/**\n       * Creates an array of unique values that is the\n       * [symmetric difference](https://en.wikipedia.org/wiki/Symmetric_difference)\n       * of the given arrays. The order of result values is determined by the order\n       * they occur in the arrays.\n       *\n       * @static\n       * @memberOf _\n       * @since 2.4.0\n       * @category Array\n       * @param {...Array} [arrays] The arrays to inspect.\n       * @returns {Array} Returns the new array of filtered values.\n       * @see _.difference, _.without\n       * @example\n       *\n       * _.xor([2, 1], [2, 3]);\n       * // => [1, 3]\n       */var xor=baseRest(function(arrays){return baseXor(arrayFilter(arrays,isArrayLikeObject));});/**\n       * This method is like `_.xor` except that it accepts `iteratee` which is\n       * invoked for each element of each `arrays` to generate the criterion by\n       * which by which they're compared. The order of result values is determined\n       * by the order they occur in the arrays. The iteratee is invoked with one\n       * argument: (value).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Array\n       * @param {...Array} [arrays] The arrays to inspect.\n       * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n       * @returns {Array} Returns the new array of filtered values.\n       * @example\n       *\n       * _.xorBy([2.1, 1.2], [2.3, 3.4], Math.floor);\n       * // => [1.2, 3.4]\n       *\n       * // The `_.property` iteratee shorthand.\n       * _.xorBy([{ 'x': 1 }], [{ 'x': 2 }, { 'x': 1 }], 'x');\n       * // => [{ 'x': 2 }]\n       */var xorBy=baseRest(function(arrays){var iteratee=last(arrays);if(isArrayLikeObject(iteratee)){iteratee=undefined;}return baseXor(arrayFilter(arrays,isArrayLikeObject),getIteratee(iteratee,2));});/**\n       * This method is like `_.xor` except that it accepts `comparator` which is\n       * invoked to compare elements of `arrays`. The order of result values is\n       * determined by the order they occur in the arrays. The comparator is invoked\n       * with two arguments: (arrVal, othVal).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Array\n       * @param {...Array} [arrays] The arrays to inspect.\n       * @param {Function} [comparator] The comparator invoked per element.\n       * @returns {Array} Returns the new array of filtered values.\n       * @example\n       *\n       * var objects = [{ 'x': 1, 'y': 2 }, { 'x': 2, 'y': 1 }];\n       * var others = [{ 'x': 1, 'y': 1 }, { 'x': 1, 'y': 2 }];\n       *\n       * _.xorWith(objects, others, _.isEqual);\n       * // => [{ 'x': 2, 'y': 1 }, { 'x': 1, 'y': 1 }]\n       */var xorWith=baseRest(function(arrays){var comparator=last(arrays);comparator=typeof comparator==='function'?comparator:undefined;return baseXor(arrayFilter(arrays,isArrayLikeObject),undefined,comparator);});/**\n       * Creates an array of grouped elements, the first of which contains the\n       * first elements of the given arrays, the second of which contains the\n       * second elements of the given arrays, and so on.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Array\n       * @param {...Array} [arrays] The arrays to process.\n       * @returns {Array} Returns the new array of grouped elements.\n       * @example\n       *\n       * _.zip(['a', 'b'], [1, 2], [true, false]);\n       * // => [['a', 1, true], ['b', 2, false]]\n       */var zip=baseRest(unzip);/**\n         * This method is like `_.fromPairs` except that it accepts two arrays,\n         * one of property identifiers and one of corresponding values.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.4.0\n         * @category Array\n         * @param {Array} [props=[]] The property identifiers.\n         * @param {Array} [values=[]] The property values.\n         * @returns {Object} Returns the new object.\n         * @example\n         *\n         * _.zipObject(['a', 'b'], [1, 2]);\n         * // => { 'a': 1, 'b': 2 }\n         */function zipObject(props,values){return baseZipObject(props||[],values||[],assignValue);}/**\n         * This method is like `_.zipObject` except that it supports property paths.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.1.0\n         * @category Array\n         * @param {Array} [props=[]] The property identifiers.\n         * @param {Array} [values=[]] The property values.\n         * @returns {Object} Returns the new object.\n         * @example\n         *\n         * _.zipObjectDeep(['a.b[0].c', 'a.b[1].d'], [1, 2]);\n         * // => { 'a': { 'b': [{ 'c': 1 }, { 'd': 2 }] } }\n         */function zipObjectDeep(props,values){return baseZipObject(props||[],values||[],baseSet);}/**\n         * This method is like `_.zip` except that it accepts `iteratee` to specify\n         * how grouped values should be combined. The iteratee is invoked with the\n         * elements of each group: (...group).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.8.0\n         * @category Array\n         * @param {...Array} [arrays] The arrays to process.\n         * @param {Function} [iteratee=_.identity] The function to combine\n         *  grouped values.\n         * @returns {Array} Returns the new array of grouped elements.\n         * @example\n         *\n         * _.zipWith([1, 2], [10, 20], [100, 200], function(a, b, c) {\n         *   return a + b + c;\n         * });\n         * // => [111, 222]\n         */var zipWith=baseRest(function(arrays){var length=arrays.length,iteratee=length>1?arrays[length-1]:undefined;iteratee=typeof iteratee==='function'?(arrays.pop(),iteratee):undefined;return unzipWith(arrays,iteratee);});/* ------------------------------------------------------------------------*/ /**\n       * Creates a `lodash` wrapper instance that wraps `value` with explicit method\n       * chain sequences enabled. The result of such sequences must be unwrapped\n       * with `_#value`.\n       *\n       * @static\n       * @memberOf _\n       * @since 1.3.0\n       * @category Seq\n       * @param {*} value The value to wrap.\n       * @returns {Object} Returns the new `lodash` wrapper instance.\n       * @example\n       *\n       * var users = [\n       *   { 'user': 'barney',  'age': 36 },\n       *   { 'user': 'fred',    'age': 40 },\n       *   { 'user': 'pebbles', 'age': 1 }\n       * ];\n       *\n       * var youngest = _\n       *   .chain(users)\n       *   .sortBy('age')\n       *   .map(function(o) {\n       *     return o.user + ' is ' + o.age;\n       *   })\n       *   .head()\n       *   .value();\n       * // => 'pebbles is 1'\n       */function chain(value){var result=lodash(value);result.__chain__=true;return result;}/**\n         * This method invokes `interceptor` and returns `value`. The interceptor\n         * is invoked with one argument; (value). The purpose of this method is to\n         * \"tap into\" a method chain sequence in order to modify intermediate results.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Seq\n         * @param {*} value The value to provide to `interceptor`.\n         * @param {Function} interceptor The function to invoke.\n         * @returns {*} Returns `value`.\n         * @example\n         *\n         * _([1, 2, 3])\n         *  .tap(function(array) {\n         *    // Mutate input array.\n         *    array.pop();\n         *  })\n         *  .reverse()\n         *  .value();\n         * // => [2, 1]\n         */function tap(value,interceptor){interceptor(value);return value;}/**\n         * This method is like `_.tap` except that it returns the result of `interceptor`.\n         * The purpose of this method is to \"pass thru\" values replacing intermediate\n         * results in a method chain sequence.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Seq\n         * @param {*} value The value to provide to `interceptor`.\n         * @param {Function} interceptor The function to invoke.\n         * @returns {*} Returns the result of `interceptor`.\n         * @example\n         *\n         * _('  abc  ')\n         *  .chain()\n         *  .trim()\n         *  .thru(function(value) {\n         *    return [value];\n         *  })\n         *  .value();\n         * // => ['abc']\n         */function thru(value,interceptor){return interceptor(value);}/**\n         * This method is the wrapper version of `_.at`.\n         *\n         * @name at\n         * @memberOf _\n         * @since 1.0.0\n         * @category Seq\n         * @param {...(string|string[])} [paths] The property paths to pick.\n         * @returns {Object} Returns the new `lodash` wrapper instance.\n         * @example\n         *\n         * var object = { 'a': [{ 'b': { 'c': 3 } }, 4] };\n         *\n         * _(object).at(['a[0].b.c', 'a[1]']).value();\n         * // => [3, 4]\n         */var wrapperAt=flatRest(function(paths){var length=paths.length,start=length?paths[0]:0,value=this.__wrapped__,interceptor=function interceptor(object){return baseAt(object,paths);};if(length>1||this.__actions__.length||!(value instanceof LazyWrapper)||!isIndex(start)){return this.thru(interceptor);}value=value.slice(start,+start+(length?1:0));value.__actions__.push({func:thru,args:[interceptor],thisArg:undefined});return new LodashWrapper(value,this.__chain__).thru(function(array){if(length&&!array.length){array.push(undefined);}return array;});});/**\n       * Creates a `lodash` wrapper instance with explicit method chain sequences enabled.\n       *\n       * @name chain\n       * @memberOf _\n       * @since 0.1.0\n       * @category Seq\n       * @returns {Object} Returns the new `lodash` wrapper instance.\n       * @example\n       *\n       * var users = [\n       *   { 'user': 'barney', 'age': 36 },\n       *   { 'user': 'fred',   'age': 40 }\n       * ];\n       *\n       * // A sequence without explicit chaining.\n       * _(users).head();\n       * // => { 'user': 'barney', 'age': 36 }\n       *\n       * // A sequence with explicit chaining.\n       * _(users)\n       *   .chain()\n       *   .head()\n       *   .pick('user')\n       *   .value();\n       * // => { 'user': 'barney' }\n       */function wrapperChain(){return chain(this);}/**\n         * Executes the chain sequence and returns the wrapped result.\n         *\n         * @name commit\n         * @memberOf _\n         * @since 3.2.0\n         * @category Seq\n         * @returns {Object} Returns the new `lodash` wrapper instance.\n         * @example\n         *\n         * var array = [1, 2];\n         * var wrapped = _(array).push(3);\n         *\n         * console.log(array);\n         * // => [1, 2]\n         *\n         * wrapped = wrapped.commit();\n         * console.log(array);\n         * // => [1, 2, 3]\n         *\n         * wrapped.last();\n         * // => 3\n         *\n         * console.log(array);\n         * // => [1, 2, 3]\n         */function wrapperCommit(){return new LodashWrapper(this.value(),this.__chain__);}/**\n         * Gets the next value on a wrapped object following the\n         * [iterator protocol](https://mdn.io/iteration_protocols#iterator).\n         *\n         * @name next\n         * @memberOf _\n         * @since 4.0.0\n         * @category Seq\n         * @returns {Object} Returns the next iterator value.\n         * @example\n         *\n         * var wrapped = _([1, 2]);\n         *\n         * wrapped.next();\n         * // => { 'done': false, 'value': 1 }\n         *\n         * wrapped.next();\n         * // => { 'done': false, 'value': 2 }\n         *\n         * wrapped.next();\n         * // => { 'done': true, 'value': undefined }\n         */function wrapperNext(){if(this.__values__===undefined){this.__values__=toArray(this.value());}var done=this.__index__>=this.__values__.length,value=done?undefined:this.__values__[this.__index__++];return{done:done,value:value};}/**\n         * Enables the wrapper to be iterable.\n         *\n         * @name Symbol.iterator\n         * @memberOf _\n         * @since 4.0.0\n         * @category Seq\n         * @returns {Object} Returns the wrapper object.\n         * @example\n         *\n         * var wrapped = _([1, 2]);\n         *\n         * wrapped[Symbol.iterator]() === wrapped;\n         * // => true\n         *\n         * Array.from(wrapped);\n         * // => [1, 2]\n         */function wrapperToIterator(){return this;}/**\n         * Creates a clone of the chain sequence planting `value` as the wrapped value.\n         *\n         * @name plant\n         * @memberOf _\n         * @since 3.2.0\n         * @category Seq\n         * @param {*} value The value to plant.\n         * @returns {Object} Returns the new `lodash` wrapper instance.\n         * @example\n         *\n         * function square(n) {\n         *   return n * n;\n         * }\n         *\n         * var wrapped = _([1, 2]).map(square);\n         * var other = wrapped.plant([3, 4]);\n         *\n         * other.value();\n         * // => [9, 16]\n         *\n         * wrapped.value();\n         * // => [1, 4]\n         */function wrapperPlant(value){var result,parent=this;while(parent instanceof baseLodash){var clone=wrapperClone(parent);clone.__index__=0;clone.__values__=undefined;if(result){previous.__wrapped__=clone;}else{result=clone;}var previous=clone;parent=parent.__wrapped__;}previous.__wrapped__=value;return result;}/**\n         * This method is the wrapper version of `_.reverse`.\n         *\n         * **Note:** This method mutates the wrapped array.\n         *\n         * @name reverse\n         * @memberOf _\n         * @since 0.1.0\n         * @category Seq\n         * @returns {Object} Returns the new `lodash` wrapper instance.\n         * @example\n         *\n         * var array = [1, 2, 3];\n         *\n         * _(array).reverse().value()\n         * // => [3, 2, 1]\n         *\n         * console.log(array);\n         * // => [3, 2, 1]\n         */function wrapperReverse(){var value=this.__wrapped__;if(value instanceof LazyWrapper){var wrapped=value;if(this.__actions__.length){wrapped=new LazyWrapper(this);}wrapped=wrapped.reverse();wrapped.__actions__.push({func:thru,args:[reverse],thisArg:undefined});return new LodashWrapper(wrapped,this.__chain__);}return this.thru(reverse);}/**\n         * Executes the chain sequence to resolve the unwrapped value.\n         *\n         * @name value\n         * @memberOf _\n         * @since 0.1.0\n         * @alias toJSON, valueOf\n         * @category Seq\n         * @returns {*} Returns the resolved unwrapped value.\n         * @example\n         *\n         * _([1, 2, 3]).value();\n         * // => [1, 2, 3]\n         */function wrapperValue(){return baseWrapperValue(this.__wrapped__,this.__actions__);}/* ------------------------------------------------------------------------*/ /**\n         * Creates an object composed of keys generated from the results of running\n         * each element of `collection` thru `iteratee`. The corresponding value of\n         * each key is the number of times the key was returned by `iteratee`. The\n         * iteratee is invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 0.5.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [iteratee=_.identity] The iteratee to transform keys.\n         * @returns {Object} Returns the composed aggregate object.\n         * @example\n         *\n         * _.countBy([6.1, 4.2, 6.3], Math.floor);\n         * // => { '4': 1, '6': 2 }\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.countBy(['one', 'two', 'three'], 'length');\n         * // => { '3': 2, '5': 1 }\n         */var countBy=createAggregator(function(result,value,key){if(hasOwnProperty.call(result,key)){++result[key];}else{baseAssignValue(result,key,1);}});/**\n       * Checks if `predicate` returns truthy for **all** elements of `collection`.\n       * Iteration is stopped once `predicate` returns falsey. The predicate is\n       * invoked with three arguments: (value, index|key, collection).\n       *\n       * **Note:** This method returns `true` for\n       * [empty collections](https://en.wikipedia.org/wiki/Empty_set) because\n       * [everything is true](https://en.wikipedia.org/wiki/Vacuous_truth) of\n       * elements of empty collections.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Collection\n       * @param {Array|Object} collection The collection to iterate over.\n       * @param {Function} [predicate=_.identity] The function invoked per iteration.\n       * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n       * @returns {boolean} Returns `true` if all elements pass the predicate check,\n       *  else `false`.\n       * @example\n       *\n       * _.every([true, 1, null, 'yes'], Boolean);\n       * // => false\n       *\n       * var users = [\n       *   { 'user': 'barney', 'age': 36, 'active': false },\n       *   { 'user': 'fred',   'age': 40, 'active': false }\n       * ];\n       *\n       * // The `_.matches` iteratee shorthand.\n       * _.every(users, { 'user': 'barney', 'active': false });\n       * // => false\n       *\n       * // The `_.matchesProperty` iteratee shorthand.\n       * _.every(users, ['active', false]);\n       * // => true\n       *\n       * // The `_.property` iteratee shorthand.\n       * _.every(users, 'active');\n       * // => false\n       */function every(collection,predicate,guard){var func=isArray(collection)?arrayEvery:baseEvery;if(guard&&isIterateeCall(collection,predicate,guard)){predicate=undefined;}return func(collection,getIteratee(predicate,3));}/**\n         * Iterates over elements of `collection`, returning an array of all elements\n         * `predicate` returns truthy for. The predicate is invoked with three\n         * arguments: (value, index|key, collection).\n         *\n         * **Note:** Unlike `_.remove`, this method returns a new array.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the new filtered array.\n         * @see _.reject\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney', 'age': 36, 'active': true },\n         *   { 'user': 'fred',   'age': 40, 'active': false }\n         * ];\n         *\n         * _.filter(users, function(o) { return !o.active; });\n         * // => objects for ['fred']\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.filter(users, { 'age': 36, 'active': true });\n         * // => objects for ['barney']\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.filter(users, ['active', false]);\n         * // => objects for ['fred']\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.filter(users, 'active');\n         * // => objects for ['barney']\n         */function filter(collection,predicate){var func=isArray(collection)?arrayFilter:baseFilter;return func(collection,getIteratee(predicate,3));}/**\n         * Iterates over elements of `collection`, returning the first element\n         * `predicate` returns truthy for. The predicate is invoked with three\n         * arguments: (value, index|key, collection).\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to inspect.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @param {number} [fromIndex=0] The index to search from.\n         * @returns {*} Returns the matched element, else `undefined`.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney',  'age': 36, 'active': true },\n         *   { 'user': 'fred',    'age': 40, 'active': false },\n         *   { 'user': 'pebbles', 'age': 1,  'active': true }\n         * ];\n         *\n         * _.find(users, function(o) { return o.age < 40; });\n         * // => object for 'barney'\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.find(users, { 'age': 1, 'active': true });\n         * // => object for 'pebbles'\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.find(users, ['active', false]);\n         * // => object for 'fred'\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.find(users, 'active');\n         * // => object for 'barney'\n         */var find=createFind(findIndex);/**\n         * This method is like `_.find` except that it iterates over elements of\n         * `collection` from right to left.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.0.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to inspect.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @param {number} [fromIndex=collection.length-1] The index to search from.\n         * @returns {*} Returns the matched element, else `undefined`.\n         * @example\n         *\n         * _.findLast([1, 2, 3, 4], function(n) {\n         *   return n % 2 == 1;\n         * });\n         * // => 3\n         */var findLast=createFind(findLastIndex);/**\n         * Creates a flattened array of values by running each element in `collection`\n         * thru `iteratee` and flattening the mapped results. The iteratee is invoked\n         * with three arguments: (value, index|key, collection).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the new flattened array.\n         * @example\n         *\n         * function duplicate(n) {\n         *   return [n, n];\n         * }\n         *\n         * _.flatMap([1, 2], duplicate);\n         * // => [1, 1, 2, 2]\n         */function flatMap(collection,iteratee){return baseFlatten(map(collection,iteratee),1);}/**\n         * This method is like `_.flatMap` except that it recursively flattens the\n         * mapped results.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.7.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the new flattened array.\n         * @example\n         *\n         * function duplicate(n) {\n         *   return [[[n, n]]];\n         * }\n         *\n         * _.flatMapDeep([1, 2], duplicate);\n         * // => [1, 1, 2, 2]\n         */function flatMapDeep(collection,iteratee){return baseFlatten(map(collection,iteratee),INFINITY);}/**\n         * This method is like `_.flatMap` except that it recursively flattens the\n         * mapped results up to `depth` times.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.7.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @param {number} [depth=1] The maximum recursion depth.\n         * @returns {Array} Returns the new flattened array.\n         * @example\n         *\n         * function duplicate(n) {\n         *   return [[[n, n]]];\n         * }\n         *\n         * _.flatMapDepth([1, 2], duplicate, 2);\n         * // => [[1, 1], [2, 2]]\n         */function flatMapDepth(collection,iteratee,depth){depth=depth===undefined?1:toInteger(depth);return baseFlatten(map(collection,iteratee),depth);}/**\n         * Iterates over elements of `collection` and invokes `iteratee` for each element.\n         * The iteratee is invoked with three arguments: (value, index|key, collection).\n         * Iteratee functions may exit iteration early by explicitly returning `false`.\n         *\n         * **Note:** As with other \"Collections\" methods, objects with a \"length\"\n         * property are iterated like arrays. To avoid this behavior use `_.forIn`\n         * or `_.forOwn` for object iteration.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @alias each\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Array|Object} Returns `collection`.\n         * @see _.forEachRight\n         * @example\n         *\n         * _.forEach([1, 2], function(value) {\n         *   console.log(value);\n         * });\n         * // => Logs `1` then `2`.\n         *\n         * _.forEach({ 'a': 1, 'b': 2 }, function(value, key) {\n         *   console.log(key);\n         * });\n         * // => Logs 'a' then 'b' (iteration order is not guaranteed).\n         */function forEach(collection,iteratee){var func=isArray(collection)?arrayEach:baseEach;return func(collection,getIteratee(iteratee,3));}/**\n         * This method is like `_.forEach` except that it iterates over elements of\n         * `collection` from right to left.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.0.0\n         * @alias eachRight\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Array|Object} Returns `collection`.\n         * @see _.forEach\n         * @example\n         *\n         * _.forEachRight([1, 2], function(value) {\n         *   console.log(value);\n         * });\n         * // => Logs `2` then `1`.\n         */function forEachRight(collection,iteratee){var func=isArray(collection)?arrayEachRight:baseEachRight;return func(collection,getIteratee(iteratee,3));}/**\n         * Creates an object composed of keys generated from the results of running\n         * each element of `collection` thru `iteratee`. The order of grouped values\n         * is determined by the order they occur in `collection`. The corresponding\n         * value of each key is an array of elements responsible for generating the\n         * key. The iteratee is invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [iteratee=_.identity] The iteratee to transform keys.\n         * @returns {Object} Returns the composed aggregate object.\n         * @example\n         *\n         * _.groupBy([6.1, 4.2, 6.3], Math.floor);\n         * // => { '4': [4.2], '6': [6.1, 6.3] }\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.groupBy(['one', 'two', 'three'], 'length');\n         * // => { '3': ['one', 'two'], '5': ['three'] }\n         */var groupBy=createAggregator(function(result,value,key){if(hasOwnProperty.call(result,key)){result[key].push(value);}else{baseAssignValue(result,key,[value]);}});/**\n       * Checks if `value` is in `collection`. If `collection` is a string, it's\n       * checked for a substring of `value`, otherwise\n       * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n       * is used for equality comparisons. If `fromIndex` is negative, it's used as\n       * the offset from the end of `collection`.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Collection\n       * @param {Array|Object|string} collection The collection to inspect.\n       * @param {*} value The value to search for.\n       * @param {number} [fromIndex=0] The index to search from.\n       * @param- {Object} [guard] Enables use as an iteratee for methods like `_.reduce`.\n       * @returns {boolean} Returns `true` if `value` is found, else `false`.\n       * @example\n       *\n       * _.includes([1, 2, 3], 1);\n       * // => true\n       *\n       * _.includes([1, 2, 3], 1, 2);\n       * // => false\n       *\n       * _.includes({ 'a': 1, 'b': 2 }, 1);\n       * // => true\n       *\n       * _.includes('abcd', 'bc');\n       * // => true\n       */function includes(collection,value,fromIndex,guard){collection=isArrayLike(collection)?collection:values(collection);fromIndex=fromIndex&&!guard?toInteger(fromIndex):0;var length=collection.length;if(fromIndex<0){fromIndex=nativeMax(length+fromIndex,0);}return isString(collection)?fromIndex<=length&&collection.indexOf(value,fromIndex)>-1:!!length&&baseIndexOf(collection,value,fromIndex)>-1;}/**\n         * Invokes the method at `path` of each element in `collection`, returning\n         * an array of the results of each invoked method. Any additional arguments\n         * are provided to each invoked method. If `path` is a function, it's invoked\n         * for, and `this` bound to, each element in `collection`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Array|Function|string} path The path of the method to invoke or\n         *  the function invoked per iteration.\n         * @param {...*} [args] The arguments to invoke each method with.\n         * @returns {Array} Returns the array of results.\n         * @example\n         *\n         * _.invokeMap([[5, 1, 7], [3, 2, 1]], 'sort');\n         * // => [[1, 5, 7], [1, 2, 3]]\n         *\n         * _.invokeMap([123, 456], String.prototype.split, '');\n         * // => [['1', '2', '3'], ['4', '5', '6']]\n         */var invokeMap=baseRest(function(collection,path,args){var index=-1,isFunc=typeof path==='function',result=isArrayLike(collection)?Array(collection.length):[];baseEach(collection,function(value){result[++index]=isFunc?apply(path,value,args):baseInvoke(value,path,args);});return result;});/**\n       * Creates an object composed of keys generated from the results of running\n       * each element of `collection` thru `iteratee`. The corresponding value of\n       * each key is the last element responsible for generating the key. The\n       * iteratee is invoked with one argument: (value).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Collection\n       * @param {Array|Object} collection The collection to iterate over.\n       * @param {Function} [iteratee=_.identity] The iteratee to transform keys.\n       * @returns {Object} Returns the composed aggregate object.\n       * @example\n       *\n       * var array = [\n       *   { 'dir': 'left', 'code': 97 },\n       *   { 'dir': 'right', 'code': 100 }\n       * ];\n       *\n       * _.keyBy(array, function(o) {\n       *   return String.fromCharCode(o.code);\n       * });\n       * // => { 'a': { 'dir': 'left', 'code': 97 }, 'd': { 'dir': 'right', 'code': 100 } }\n       *\n       * _.keyBy(array, 'dir');\n       * // => { 'left': { 'dir': 'left', 'code': 97 }, 'right': { 'dir': 'right', 'code': 100 } }\n       */var keyBy=createAggregator(function(result,value,key){baseAssignValue(result,key,value);});/**\n       * Creates an array of values by running each element in `collection` thru\n       * `iteratee`. The iteratee is invoked with three arguments:\n       * (value, index|key, collection).\n       *\n       * Many lodash methods are guarded to work as iteratees for methods like\n       * `_.every`, `_.filter`, `_.map`, `_.mapValues`, `_.reject`, and `_.some`.\n       *\n       * The guarded methods are:\n       * `ary`, `chunk`, `curry`, `curryRight`, `drop`, `dropRight`, `every`,\n       * `fill`, `invert`, `parseInt`, `random`, `range`, `rangeRight`, `repeat`,\n       * `sampleSize`, `slice`, `some`, `sortBy`, `split`, `take`, `takeRight`,\n       * `template`, `trim`, `trimEnd`, `trimStart`, and `words`\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Collection\n       * @param {Array|Object} collection The collection to iterate over.\n       * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n       * @returns {Array} Returns the new mapped array.\n       * @example\n       *\n       * function square(n) {\n       *   return n * n;\n       * }\n       *\n       * _.map([4, 8], square);\n       * // => [16, 64]\n       *\n       * _.map({ 'a': 4, 'b': 8 }, square);\n       * // => [16, 64] (iteration order is not guaranteed)\n       *\n       * var users = [\n       *   { 'user': 'barney' },\n       *   { 'user': 'fred' }\n       * ];\n       *\n       * // The `_.property` iteratee shorthand.\n       * _.map(users, 'user');\n       * // => ['barney', 'fred']\n       */function map(collection,iteratee){var func=isArray(collection)?arrayMap:baseMap;return func(collection,getIteratee(iteratee,3));}/**\n         * This method is like `_.sortBy` except that it allows specifying the sort\n         * orders of the iteratees to sort by. If `orders` is unspecified, all values\n         * are sorted in ascending order. Otherwise, specify an order of \"desc\" for\n         * descending or \"asc\" for ascending sort order of corresponding values.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Array[]|Function[]|Object[]|string[]} [iteratees=[_.identity]]\n         *  The iteratees to sort by.\n         * @param {string[]} [orders] The sort orders of `iteratees`.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.reduce`.\n         * @returns {Array} Returns the new sorted array.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'fred',   'age': 48 },\n         *   { 'user': 'barney', 'age': 34 },\n         *   { 'user': 'fred',   'age': 40 },\n         *   { 'user': 'barney', 'age': 36 }\n         * ];\n         *\n         * // Sort by `user` in ascending order and by `age` in descending order.\n         * _.orderBy(users, ['user', 'age'], ['asc', 'desc']);\n         * // => objects for [['barney', 36], ['barney', 34], ['fred', 48], ['fred', 40]]\n         */function orderBy(collection,iteratees,orders,guard){if(collection==null){return[];}if(!isArray(iteratees)){iteratees=iteratees==null?[]:[iteratees];}orders=guard?undefined:orders;if(!isArray(orders)){orders=orders==null?[]:[orders];}return baseOrderBy(collection,iteratees,orders);}/**\n         * Creates an array of elements split into two groups, the first of which\n         * contains elements `predicate` returns truthy for, the second of which\n         * contains elements `predicate` returns falsey for. The predicate is\n         * invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the array of grouped elements.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney',  'age': 36, 'active': false },\n         *   { 'user': 'fred',    'age': 40, 'active': true },\n         *   { 'user': 'pebbles', 'age': 1,  'active': false }\n         * ];\n         *\n         * _.partition(users, function(o) { return o.active; });\n         * // => objects for [['fred'], ['barney', 'pebbles']]\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.partition(users, { 'age': 1, 'active': false });\n         * // => objects for [['pebbles'], ['barney', 'fred']]\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.partition(users, ['active', false]);\n         * // => objects for [['barney', 'pebbles'], ['fred']]\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.partition(users, 'active');\n         * // => objects for [['fred'], ['barney', 'pebbles']]\n         */var partition=createAggregator(function(result,value,key){result[key?0:1].push(value);},function(){return[[],[]];});/**\n       * Reduces `collection` to a value which is the accumulated result of running\n       * each element in `collection` thru `iteratee`, where each successive\n       * invocation is supplied the return value of the previous. If `accumulator`\n       * is not given, the first element of `collection` is used as the initial\n       * value. The iteratee is invoked with four arguments:\n       * (accumulator, value, index|key, collection).\n       *\n       * Many lodash methods are guarded to work as iteratees for methods like\n       * `_.reduce`, `_.reduceRight`, and `_.transform`.\n       *\n       * The guarded methods are:\n       * `assign`, `defaults`, `defaultsDeep`, `includes`, `merge`, `orderBy`,\n       * and `sortBy`\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Collection\n       * @param {Array|Object} collection The collection to iterate over.\n       * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n       * @param {*} [accumulator] The initial value.\n       * @returns {*} Returns the accumulated value.\n       * @see _.reduceRight\n       * @example\n       *\n       * _.reduce([1, 2], function(sum, n) {\n       *   return sum + n;\n       * }, 0);\n       * // => 3\n       *\n       * _.reduce({ 'a': 1, 'b': 2, 'c': 1 }, function(result, value, key) {\n       *   (result[value] || (result[value] = [])).push(key);\n       *   return result;\n       * }, {});\n       * // => { '1': ['a', 'c'], '2': ['b'] } (iteration order is not guaranteed)\n       */function reduce(collection,iteratee,accumulator){var func=isArray(collection)?arrayReduce:baseReduce,initAccum=arguments.length<3;return func(collection,getIteratee(iteratee,4),accumulator,initAccum,baseEach);}/**\n         * This method is like `_.reduce` except that it iterates over elements of\n         * `collection` from right to left.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @param {*} [accumulator] The initial value.\n         * @returns {*} Returns the accumulated value.\n         * @see _.reduce\n         * @example\n         *\n         * var array = [[0, 1], [2, 3], [4, 5]];\n         *\n         * _.reduceRight(array, function(flattened, other) {\n         *   return flattened.concat(other);\n         * }, []);\n         * // => [4, 5, 2, 3, 0, 1]\n         */function reduceRight(collection,iteratee,accumulator){var func=isArray(collection)?arrayReduceRight:baseReduce,initAccum=arguments.length<3;return func(collection,getIteratee(iteratee,4),accumulator,initAccum,baseEachRight);}/**\n         * The opposite of `_.filter`; this method returns the elements of `collection`\n         * that `predicate` does **not** return truthy for.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the new filtered array.\n         * @see _.filter\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney', 'age': 36, 'active': false },\n         *   { 'user': 'fred',   'age': 40, 'active': true }\n         * ];\n         *\n         * _.reject(users, function(o) { return !o.active; });\n         * // => objects for ['fred']\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.reject(users, { 'age': 40, 'active': true });\n         * // => objects for ['barney']\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.reject(users, ['active', false]);\n         * // => objects for ['fred']\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.reject(users, 'active');\n         * // => objects for ['barney']\n         */function reject(collection,predicate){var func=isArray(collection)?arrayFilter:baseFilter;return func(collection,negate(getIteratee(predicate,3)));}/**\n         * Gets a random element from `collection`.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.0.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to sample.\n         * @returns {*} Returns the random element.\n         * @example\n         *\n         * _.sample([1, 2, 3, 4]);\n         * // => 2\n         */function sample(collection){var func=isArray(collection)?arraySample:baseSample;return func(collection);}/**\n         * Gets `n` random elements at unique keys from `collection` up to the\n         * size of `collection`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to sample.\n         * @param {number} [n=1] The number of elements to sample.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {Array} Returns the random elements.\n         * @example\n         *\n         * _.sampleSize([1, 2, 3], 2);\n         * // => [3, 1]\n         *\n         * _.sampleSize([1, 2, 3], 4);\n         * // => [2, 3, 1]\n         */function sampleSize(collection,n,guard){if(guard?isIterateeCall(collection,n,guard):n===undefined){n=1;}else{n=toInteger(n);}var func=isArray(collection)?arraySampleSize:baseSampleSize;return func(collection,n);}/**\n         * Creates an array of shuffled values, using a version of the\n         * [Fisher-Yates shuffle](https://en.wikipedia.org/wiki/Fisher-Yates_shuffle).\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to shuffle.\n         * @returns {Array} Returns the new shuffled array.\n         * @example\n         *\n         * _.shuffle([1, 2, 3, 4]);\n         * // => [4, 1, 3, 2]\n         */function shuffle(collection){var func=isArray(collection)?arrayShuffle:baseShuffle;return func(collection);}/**\n         * Gets the size of `collection` by returning its length for array-like\n         * values or the number of own enumerable string keyed properties for objects.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Collection\n         * @param {Array|Object|string} collection The collection to inspect.\n         * @returns {number} Returns the collection size.\n         * @example\n         *\n         * _.size([1, 2, 3]);\n         * // => 3\n         *\n         * _.size({ 'a': 1, 'b': 2 });\n         * // => 2\n         *\n         * _.size('pebbles');\n         * // => 7\n         */function size(collection){if(collection==null){return 0;}if(isArrayLike(collection)){return isString(collection)?stringSize(collection):collection.length;}var tag=getTag(collection);if(tag==mapTag||tag==setTag){return collection.size;}return baseKeys(collection).length;}/**\n         * Checks if `predicate` returns truthy for **any** element of `collection`.\n         * Iteration is stopped once `predicate` returns truthy. The predicate is\n         * invoked with three arguments: (value, index|key, collection).\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {boolean} Returns `true` if any element passes the predicate check,\n         *  else `false`.\n         * @example\n         *\n         * _.some([null, 0, 'yes', false], Boolean);\n         * // => true\n         *\n         * var users = [\n         *   { 'user': 'barney', 'active': true },\n         *   { 'user': 'fred',   'active': false }\n         * ];\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.some(users, { 'user': 'barney', 'active': false });\n         * // => false\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.some(users, ['active', false]);\n         * // => true\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.some(users, 'active');\n         * // => true\n         */function some(collection,predicate,guard){var func=isArray(collection)?arraySome:baseSome;if(guard&&isIterateeCall(collection,predicate,guard)){predicate=undefined;}return func(collection,getIteratee(predicate,3));}/**\n         * Creates an array of elements, sorted in ascending order by the results of\n         * running each element in a collection thru each iteratee. This method\n         * performs a stable sort, that is, it preserves the original sort order of\n         * equal elements. The iteratees are invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Collection\n         * @param {Array|Object} collection The collection to iterate over.\n         * @param {...(Function|Function[])} [iteratees=[_.identity]]\n         *  The iteratees to sort by.\n         * @returns {Array} Returns the new sorted array.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'fred',   'age': 48 },\n         *   { 'user': 'barney', 'age': 36 },\n         *   { 'user': 'fred',   'age': 40 },\n         *   { 'user': 'barney', 'age': 34 }\n         * ];\n         *\n         * _.sortBy(users, [function(o) { return o.user; }]);\n         * // => objects for [['barney', 36], ['barney', 34], ['fred', 48], ['fred', 40]]\n         *\n         * _.sortBy(users, ['user', 'age']);\n         * // => objects for [['barney', 34], ['barney', 36], ['fred', 40], ['fred', 48]]\n         */var sortBy=baseRest(function(collection,iteratees){if(collection==null){return[];}var length=iteratees.length;if(length>1&&isIterateeCall(collection,iteratees[0],iteratees[1])){iteratees=[];}else if(length>2&&isIterateeCall(iteratees[0],iteratees[1],iteratees[2])){iteratees=[iteratees[0]];}return baseOrderBy(collection,baseFlatten(iteratees,1),[]);});/* ------------------------------------------------------------------------*/ /**\n       * Gets the timestamp of the number of milliseconds that have elapsed since\n       * the Unix epoch (1 January 1970 00:00:00 UTC).\n       *\n       * @static\n       * @memberOf _\n       * @since 2.4.0\n       * @category Date\n       * @returns {number} Returns the timestamp.\n       * @example\n       *\n       * _.defer(function(stamp) {\n       *   console.log(_.now() - stamp);\n       * }, _.now());\n       * // => Logs the number of milliseconds it took for the deferred invocation.\n       */var now=ctxNow||function(){return root.Date.now();};/* ------------------------------------------------------------------------*/ /**\n       * The opposite of `_.before`; this method creates a function that invokes\n       * `func` once it's called `n` or more times.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Function\n       * @param {number} n The number of calls before `func` is invoked.\n       * @param {Function} func The function to restrict.\n       * @returns {Function} Returns the new restricted function.\n       * @example\n       *\n       * var saves = ['profile', 'settings'];\n       *\n       * var done = _.after(saves.length, function() {\n       *   console.log('done saving!');\n       * });\n       *\n       * _.forEach(saves, function(type) {\n       *   asyncSave({ 'type': type, 'complete': done });\n       * });\n       * // => Logs 'done saving!' after the two async saves have completed.\n       */function after(n,func){if(typeof func!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}n=toInteger(n);return function(){if(--n<1){return func.apply(this,arguments);}};}/**\n         * Creates a function that invokes `func`, with up to `n` arguments,\n         * ignoring any additional arguments.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Function\n         * @param {Function} func The function to cap arguments for.\n         * @param {number} [n=func.length] The arity cap.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {Function} Returns the new capped function.\n         * @example\n         *\n         * _.map(['6', '8', '10'], _.ary(parseInt, 1));\n         * // => [6, 8, 10]\n         */function ary(func,n,guard){n=guard?undefined:n;n=func&&n==null?func.length:n;return createWrap(func,WRAP_ARY_FLAG,undefined,undefined,undefined,undefined,n);}/**\n         * Creates a function that invokes `func`, with the `this` binding and arguments\n         * of the created function, while it's called less than `n` times. Subsequent\n         * calls to the created function return the result of the last `func` invocation.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Function\n         * @param {number} n The number of calls at which `func` is no longer invoked.\n         * @param {Function} func The function to restrict.\n         * @returns {Function} Returns the new restricted function.\n         * @example\n         *\n         * jQuery(element).on('click', _.before(5, addContactToList));\n         * // => Allows adding up to 4 contacts to the list.\n         */function before(n,func){var result;if(typeof func!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}n=toInteger(n);return function(){if(--n>0){result=func.apply(this,arguments);}if(n<=1){func=undefined;}return result;};}/**\n         * Creates a function that invokes `func` with the `this` binding of `thisArg`\n         * and `partials` prepended to the arguments it receives.\n         *\n         * The `_.bind.placeholder` value, which defaults to `_` in monolithic builds,\n         * may be used as a placeholder for partially applied arguments.\n         *\n         * **Note:** Unlike native `Function#bind`, this method doesn't set the \"length\"\n         * property of bound functions.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Function\n         * @param {Function} func The function to bind.\n         * @param {*} thisArg The `this` binding of `func`.\n         * @param {...*} [partials] The arguments to be partially applied.\n         * @returns {Function} Returns the new bound function.\n         * @example\n         *\n         * function greet(greeting, punctuation) {\n         *   return greeting + ' ' + this.user + punctuation;\n         * }\n         *\n         * var object = { 'user': 'fred' };\n         *\n         * var bound = _.bind(greet, object, 'hi');\n         * bound('!');\n         * // => 'hi fred!'\n         *\n         * // Bound with placeholders.\n         * var bound = _.bind(greet, object, _, '!');\n         * bound('hi');\n         * // => 'hi fred!'\n         */var bind=baseRest(function(func,thisArg,partials){var bitmask=WRAP_BIND_FLAG;if(partials.length){var holders=replaceHolders(partials,getHolder(bind));bitmask|=WRAP_PARTIAL_FLAG;}return createWrap(func,bitmask,thisArg,partials,holders);});/**\n       * Creates a function that invokes the method at `object[key]` with `partials`\n       * prepended to the arguments it receives.\n       *\n       * This method differs from `_.bind` by allowing bound functions to reference\n       * methods that may be redefined or don't yet exist. See\n       * [Peter Michaux's article](http://peter.michaux.ca/articles/lazy-function-definition-pattern)\n       * for more details.\n       *\n       * The `_.bindKey.placeholder` value, which defaults to `_` in monolithic\n       * builds, may be used as a placeholder for partially applied arguments.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.10.0\n       * @category Function\n       * @param {Object} object The object to invoke the method on.\n       * @param {string} key The key of the method.\n       * @param {...*} [partials] The arguments to be partially applied.\n       * @returns {Function} Returns the new bound function.\n       * @example\n       *\n       * var object = {\n       *   'user': 'fred',\n       *   'greet': function(greeting, punctuation) {\n       *     return greeting + ' ' + this.user + punctuation;\n       *   }\n       * };\n       *\n       * var bound = _.bindKey(object, 'greet', 'hi');\n       * bound('!');\n       * // => 'hi fred!'\n       *\n       * object.greet = function(greeting, punctuation) {\n       *   return greeting + 'ya ' + this.user + punctuation;\n       * };\n       *\n       * bound('!');\n       * // => 'hiya fred!'\n       *\n       * // Bound with placeholders.\n       * var bound = _.bindKey(object, 'greet', _, '!');\n       * bound('hi');\n       * // => 'hiya fred!'\n       */var bindKey=baseRest(function(object,key,partials){var bitmask=WRAP_BIND_FLAG|WRAP_BIND_KEY_FLAG;if(partials.length){var holders=replaceHolders(partials,getHolder(bindKey));bitmask|=WRAP_PARTIAL_FLAG;}return createWrap(key,bitmask,object,partials,holders);});/**\n       * Creates a function that accepts arguments of `func` and either invokes\n       * `func` returning its result, if at least `arity` number of arguments have\n       * been provided, or returns a function that accepts the remaining `func`\n       * arguments, and so on. The arity of `func` may be specified if `func.length`\n       * is not sufficient.\n       *\n       * The `_.curry.placeholder` value, which defaults to `_` in monolithic builds,\n       * may be used as a placeholder for provided arguments.\n       *\n       * **Note:** This method doesn't set the \"length\" property of curried functions.\n       *\n       * @static\n       * @memberOf _\n       * @since 2.0.0\n       * @category Function\n       * @param {Function} func The function to curry.\n       * @param {number} [arity=func.length] The arity of `func`.\n       * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n       * @returns {Function} Returns the new curried function.\n       * @example\n       *\n       * var abc = function(a, b, c) {\n       *   return [a, b, c];\n       * };\n       *\n       * var curried = _.curry(abc);\n       *\n       * curried(1)(2)(3);\n       * // => [1, 2, 3]\n       *\n       * curried(1, 2)(3);\n       * // => [1, 2, 3]\n       *\n       * curried(1, 2, 3);\n       * // => [1, 2, 3]\n       *\n       * // Curried with placeholders.\n       * curried(1)(_, 3)(2);\n       * // => [1, 2, 3]\n       */function curry(func,arity,guard){arity=guard?undefined:arity;var result=createWrap(func,WRAP_CURRY_FLAG,undefined,undefined,undefined,undefined,undefined,arity);result.placeholder=curry.placeholder;return result;}/**\n         * This method is like `_.curry` except that arguments are applied to `func`\n         * in the manner of `_.partialRight` instead of `_.partial`.\n         *\n         * The `_.curryRight.placeholder` value, which defaults to `_` in monolithic\n         * builds, may be used as a placeholder for provided arguments.\n         *\n         * **Note:** This method doesn't set the \"length\" property of curried functions.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Function\n         * @param {Function} func The function to curry.\n         * @param {number} [arity=func.length] The arity of `func`.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {Function} Returns the new curried function.\n         * @example\n         *\n         * var abc = function(a, b, c) {\n         *   return [a, b, c];\n         * };\n         *\n         * var curried = _.curryRight(abc);\n         *\n         * curried(3)(2)(1);\n         * // => [1, 2, 3]\n         *\n         * curried(2, 3)(1);\n         * // => [1, 2, 3]\n         *\n         * curried(1, 2, 3);\n         * // => [1, 2, 3]\n         *\n         * // Curried with placeholders.\n         * curried(3)(1, _)(2);\n         * // => [1, 2, 3]\n         */function curryRight(func,arity,guard){arity=guard?undefined:arity;var result=createWrap(func,WRAP_CURRY_RIGHT_FLAG,undefined,undefined,undefined,undefined,undefined,arity);result.placeholder=curryRight.placeholder;return result;}/**\n         * Creates a debounced function that delays invoking `func` until after `wait`\n         * milliseconds have elapsed since the last time the debounced function was\n         * invoked. The debounced function comes with a `cancel` method to cancel\n         * delayed `func` invocations and a `flush` method to immediately invoke them.\n         * Provide `options` to indicate whether `func` should be invoked on the\n         * leading and/or trailing edge of the `wait` timeout. The `func` is invoked\n         * with the last arguments provided to the debounced function. Subsequent\n         * calls to the debounced function return the result of the last `func`\n         * invocation.\n         *\n         * **Note:** If `leading` and `trailing` options are `true`, `func` is\n         * invoked on the trailing edge of the timeout only if the debounced function\n         * is invoked more than once during the `wait` timeout.\n         *\n         * If `wait` is `0` and `leading` is `false`, `func` invocation is deferred\n         * until to the next tick, similar to `setTimeout` with a timeout of `0`.\n         *\n         * See [David Corbacho's article](https://css-tricks.com/debouncing-throttling-explained-examples/)\n         * for details over the differences between `_.debounce` and `_.throttle`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Function\n         * @param {Function} func The function to debounce.\n         * @param {number} [wait=0] The number of milliseconds to delay.\n         * @param {Object} [options={}] The options object.\n         * @param {boolean} [options.leading=false]\n         *  Specify invoking on the leading edge of the timeout.\n         * @param {number} [options.maxWait]\n         *  The maximum time `func` is allowed to be delayed before it's invoked.\n         * @param {boolean} [options.trailing=true]\n         *  Specify invoking on the trailing edge of the timeout.\n         * @returns {Function} Returns the new debounced function.\n         * @example\n         *\n         * // Avoid costly calculations while the window size is in flux.\n         * jQuery(window).on('resize', _.debounce(calculateLayout, 150));\n         *\n         * // Invoke `sendMail` when clicked, debouncing subsequent calls.\n         * jQuery(element).on('click', _.debounce(sendMail, 300, {\n         *   'leading': true,\n         *   'trailing': false\n         * }));\n         *\n         * // Ensure `batchLog` is invoked once after 1 second of debounced calls.\n         * var debounced = _.debounce(batchLog, 250, { 'maxWait': 1000 });\n         * var source = new EventSource('/stream');\n         * jQuery(source).on('message', debounced);\n         *\n         * // Cancel the trailing debounced invocation.\n         * jQuery(window).on('popstate', debounced.cancel);\n         */function debounce(func,wait,options){var lastArgs,lastThis,maxWait,result,timerId,lastCallTime,lastInvokeTime=0,leading=false,maxing=false,trailing=true;if(typeof func!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}wait=toNumber(wait)||0;if(isObject(options)){leading=!!options.leading;maxing='maxWait'in options;maxWait=maxing?nativeMax(toNumber(options.maxWait)||0,wait):maxWait;trailing='trailing'in options?!!options.trailing:trailing;}function invokeFunc(time){var args=lastArgs,thisArg=lastThis;lastArgs=lastThis=undefined;lastInvokeTime=time;result=func.apply(thisArg,args);return result;}function leadingEdge(time){// Reset any `maxWait` timer.\nlastInvokeTime=time;// Start the timer for the trailing edge.\ntimerId=setTimeout(timerExpired,wait);// Invoke the leading edge.\nreturn leading?invokeFunc(time):result;}function remainingWait(time){var timeSinceLastCall=time-lastCallTime,timeSinceLastInvoke=time-lastInvokeTime,timeWaiting=wait-timeSinceLastCall;return maxing?nativeMin(timeWaiting,maxWait-timeSinceLastInvoke):timeWaiting;}function shouldInvoke(time){var timeSinceLastCall=time-lastCallTime,timeSinceLastInvoke=time-lastInvokeTime;// Either this is the first call, activity has stopped and we're at the\n// trailing edge, the system time has gone backwards and we're treating\n// it as the trailing edge, or we've hit the `maxWait` limit.\nreturn lastCallTime===undefined||timeSinceLastCall>=wait||timeSinceLastCall<0||maxing&&timeSinceLastInvoke>=maxWait;}function timerExpired(){var time=now();if(shouldInvoke(time)){return trailingEdge(time);}// Restart the timer.\ntimerId=setTimeout(timerExpired,remainingWait(time));}function trailingEdge(time){timerId=undefined;// Only invoke if we have `lastArgs` which means `func` has been\n// debounced at least once.\nif(trailing&&lastArgs){return invokeFunc(time);}lastArgs=lastThis=undefined;return result;}function cancel(){if(timerId!==undefined){clearTimeout(timerId);}lastInvokeTime=0;lastArgs=lastCallTime=lastThis=timerId=undefined;}function flush(){return timerId===undefined?result:trailingEdge(now());}function debounced(){var time=now(),isInvoking=shouldInvoke(time);lastArgs=arguments;lastThis=this;lastCallTime=time;if(isInvoking){if(timerId===undefined){return leadingEdge(lastCallTime);}if(maxing){// Handle invocations in a tight loop.\ntimerId=setTimeout(timerExpired,wait);return invokeFunc(lastCallTime);}}if(timerId===undefined){timerId=setTimeout(timerExpired,wait);}return result;}debounced.cancel=cancel;debounced.flush=flush;return debounced;}/**\n         * Defers invoking the `func` until the current call stack has cleared. Any\n         * additional arguments are provided to `func` when it's invoked.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Function\n         * @param {Function} func The function to defer.\n         * @param {...*} [args] The arguments to invoke `func` with.\n         * @returns {number} Returns the timer id.\n         * @example\n         *\n         * _.defer(function(text) {\n         *   console.log(text);\n         * }, 'deferred');\n         * // => Logs 'deferred' after one millisecond.\n         */var defer=baseRest(function(func,args){return baseDelay(func,1,args);});/**\n       * Invokes `func` after `wait` milliseconds. Any additional arguments are\n       * provided to `func` when it's invoked.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Function\n       * @param {Function} func The function to delay.\n       * @param {number} wait The number of milliseconds to delay invocation.\n       * @param {...*} [args] The arguments to invoke `func` with.\n       * @returns {number} Returns the timer id.\n       * @example\n       *\n       * _.delay(function(text) {\n       *   console.log(text);\n       * }, 1000, 'later');\n       * // => Logs 'later' after one second.\n       */var delay=baseRest(function(func,wait,args){return baseDelay(func,toNumber(wait)||0,args);});/**\n       * Creates a function that invokes `func` with arguments reversed.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Function\n       * @param {Function} func The function to flip arguments for.\n       * @returns {Function} Returns the new flipped function.\n       * @example\n       *\n       * var flipped = _.flip(function() {\n       *   return _.toArray(arguments);\n       * });\n       *\n       * flipped('a', 'b', 'c', 'd');\n       * // => ['d', 'c', 'b', 'a']\n       */function flip(func){return createWrap(func,WRAP_FLIP_FLAG);}/**\n         * Creates a function that memoizes the result of `func`. If `resolver` is\n         * provided, it determines the cache key for storing the result based on the\n         * arguments provided to the memoized function. By default, the first argument\n         * provided to the memoized function is used as the map cache key. The `func`\n         * is invoked with the `this` binding of the memoized function.\n         *\n         * **Note:** The cache is exposed as the `cache` property on the memoized\n         * function. Its creation may be customized by replacing the `_.memoize.Cache`\n         * constructor with one whose instances implement the\n         * [`Map`](http://ecma-international.org/ecma-262/7.0/#sec-properties-of-the-map-prototype-object)\n         * method interface of `clear`, `delete`, `get`, `has`, and `set`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Function\n         * @param {Function} func The function to have its output memoized.\n         * @param {Function} [resolver] The function to resolve the cache key.\n         * @returns {Function} Returns the new memoized function.\n         * @example\n         *\n         * var object = { 'a': 1, 'b': 2 };\n         * var other = { 'c': 3, 'd': 4 };\n         *\n         * var values = _.memoize(_.values);\n         * values(object);\n         * // => [1, 2]\n         *\n         * values(other);\n         * // => [3, 4]\n         *\n         * object.a = 2;\n         * values(object);\n         * // => [1, 2]\n         *\n         * // Modify the result cache.\n         * values.cache.set(object, ['a', 'b']);\n         * values(object);\n         * // => ['a', 'b']\n         *\n         * // Replace `_.memoize.Cache`.\n         * _.memoize.Cache = WeakMap;\n         */function memoize(func,resolver){if(typeof func!=='function'||resolver!=null&&typeof resolver!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}var memoized=function memoized(){var args=arguments,key=resolver?resolver.apply(this,args):args[0],cache=memoized.cache;if(cache.has(key)){return cache.get(key);}var result=func.apply(this,args);memoized.cache=cache.set(key,result)||cache;return result;};memoized.cache=new(memoize.Cache||MapCache)();return memoized;}// Expose `MapCache`.\nmemoize.Cache=MapCache;/**\n         * Creates a function that negates the result of the predicate `func`. The\n         * `func` predicate is invoked with the `this` binding and arguments of the\n         * created function.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Function\n         * @param {Function} predicate The predicate to negate.\n         * @returns {Function} Returns the new negated function.\n         * @example\n         *\n         * function isEven(n) {\n         *   return n % 2 == 0;\n         * }\n         *\n         * _.filter([1, 2, 3, 4, 5, 6], _.negate(isEven));\n         * // => [1, 3, 5]\n         */function negate(predicate){if(typeof predicate!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}return function(){var args=arguments;switch(args.length){case 0:return!predicate.call(this);case 1:return!predicate.call(this,args[0]);case 2:return!predicate.call(this,args[0],args[1]);case 3:return!predicate.call(this,args[0],args[1],args[2]);}return!predicate.apply(this,args);};}/**\n         * Creates a function that is restricted to invoking `func` once. Repeat calls\n         * to the function return the value of the first invocation. The `func` is\n         * invoked with the `this` binding and arguments of the created function.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Function\n         * @param {Function} func The function to restrict.\n         * @returns {Function} Returns the new restricted function.\n         * @example\n         *\n         * var initialize = _.once(createApplication);\n         * initialize();\n         * initialize();\n         * // => `createApplication` is invoked once\n         */function once(func){return before(2,func);}/**\n         * Creates a function that invokes `func` with its arguments transformed.\n         *\n         * @static\n         * @since 4.0.0\n         * @memberOf _\n         * @category Function\n         * @param {Function} func The function to wrap.\n         * @param {...(Function|Function[])} [transforms=[_.identity]]\n         *  The argument transforms.\n         * @returns {Function} Returns the new function.\n         * @example\n         *\n         * function doubled(n) {\n         *   return n * 2;\n         * }\n         *\n         * function square(n) {\n         *   return n * n;\n         * }\n         *\n         * var func = _.overArgs(function(x, y) {\n         *   return [x, y];\n         * }, [square, doubled]);\n         *\n         * func(9, 3);\n         * // => [81, 6]\n         *\n         * func(10, 5);\n         * // => [100, 10]\n         */var overArgs=castRest(function(func,transforms){transforms=transforms.length==1&&isArray(transforms[0])?arrayMap(transforms[0],baseUnary(getIteratee())):arrayMap(baseFlatten(transforms,1),baseUnary(getIteratee()));var funcsLength=transforms.length;return baseRest(function(args){var index=-1,length=nativeMin(args.length,funcsLength);while(++index<length){args[index]=transforms[index].call(this,args[index]);}return apply(func,this,args);});});/**\n       * Creates a function that invokes `func` with `partials` prepended to the\n       * arguments it receives. This method is like `_.bind` except it does **not**\n       * alter the `this` binding.\n       *\n       * The `_.partial.placeholder` value, which defaults to `_` in monolithic\n       * builds, may be used as a placeholder for partially applied arguments.\n       *\n       * **Note:** This method doesn't set the \"length\" property of partially\n       * applied functions.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.2.0\n       * @category Function\n       * @param {Function} func The function to partially apply arguments to.\n       * @param {...*} [partials] The arguments to be partially applied.\n       * @returns {Function} Returns the new partially applied function.\n       * @example\n       *\n       * function greet(greeting, name) {\n       *   return greeting + ' ' + name;\n       * }\n       *\n       * var sayHelloTo = _.partial(greet, 'hello');\n       * sayHelloTo('fred');\n       * // => 'hello fred'\n       *\n       * // Partially applied with placeholders.\n       * var greetFred = _.partial(greet, _, 'fred');\n       * greetFred('hi');\n       * // => 'hi fred'\n       */var partial=baseRest(function(func,partials){var holders=replaceHolders(partials,getHolder(partial));return createWrap(func,WRAP_PARTIAL_FLAG,undefined,partials,holders);});/**\n       * This method is like `_.partial` except that partially applied arguments\n       * are appended to the arguments it receives.\n       *\n       * The `_.partialRight.placeholder` value, which defaults to `_` in monolithic\n       * builds, may be used as a placeholder for partially applied arguments.\n       *\n       * **Note:** This method doesn't set the \"length\" property of partially\n       * applied functions.\n       *\n       * @static\n       * @memberOf _\n       * @since 1.0.0\n       * @category Function\n       * @param {Function} func The function to partially apply arguments to.\n       * @param {...*} [partials] The arguments to be partially applied.\n       * @returns {Function} Returns the new partially applied function.\n       * @example\n       *\n       * function greet(greeting, name) {\n       *   return greeting + ' ' + name;\n       * }\n       *\n       * var greetFred = _.partialRight(greet, 'fred');\n       * greetFred('hi');\n       * // => 'hi fred'\n       *\n       * // Partially applied with placeholders.\n       * var sayHelloTo = _.partialRight(greet, 'hello', _);\n       * sayHelloTo('fred');\n       * // => 'hello fred'\n       */var partialRight=baseRest(function(func,partials){var holders=replaceHolders(partials,getHolder(partialRight));return createWrap(func,WRAP_PARTIAL_RIGHT_FLAG,undefined,partials,holders);});/**\n       * Creates a function that invokes `func` with arguments arranged according\n       * to the specified `indexes` where the argument value at the first index is\n       * provided as the first argument, the argument value at the second index is\n       * provided as the second argument, and so on.\n       *\n       * @static\n       * @memberOf _\n       * @since 3.0.0\n       * @category Function\n       * @param {Function} func The function to rearrange arguments for.\n       * @param {...(number|number[])} indexes The arranged argument indexes.\n       * @returns {Function} Returns the new function.\n       * @example\n       *\n       * var rearged = _.rearg(function(a, b, c) {\n       *   return [a, b, c];\n       * }, [2, 0, 1]);\n       *\n       * rearged('b', 'c', 'a')\n       * // => ['a', 'b', 'c']\n       */var rearg=flatRest(function(func,indexes){return createWrap(func,WRAP_REARG_FLAG,undefined,undefined,undefined,indexes);});/**\n       * Creates a function that invokes `func` with the `this` binding of the\n       * created function and arguments from `start` and beyond provided as\n       * an array.\n       *\n       * **Note:** This method is based on the\n       * [rest parameter](https://mdn.io/rest_parameters).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Function\n       * @param {Function} func The function to apply a rest parameter to.\n       * @param {number} [start=func.length-1] The start position of the rest parameter.\n       * @returns {Function} Returns the new function.\n       * @example\n       *\n       * var say = _.rest(function(what, names) {\n       *   return what + ' ' + _.initial(names).join(', ') +\n       *     (_.size(names) > 1 ? ', & ' : '') + _.last(names);\n       * });\n       *\n       * say('hello', 'fred', 'barney', 'pebbles');\n       * // => 'hello fred, barney, & pebbles'\n       */function rest(func,start){if(typeof func!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}start=start===undefined?start:toInteger(start);return baseRest(func,start);}/**\n         * Creates a function that invokes `func` with the `this` binding of the\n         * create function and an array of arguments much like\n         * [`Function#apply`](http://www.ecma-international.org/ecma-262/7.0/#sec-function.prototype.apply).\n         *\n         * **Note:** This method is based on the\n         * [spread operator](https://mdn.io/spread_operator).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.2.0\n         * @category Function\n         * @param {Function} func The function to spread arguments over.\n         * @param {number} [start=0] The start position of the spread.\n         * @returns {Function} Returns the new function.\n         * @example\n         *\n         * var say = _.spread(function(who, what) {\n         *   return who + ' says ' + what;\n         * });\n         *\n         * say(['fred', 'hello']);\n         * // => 'fred says hello'\n         *\n         * var numbers = Promise.all([\n         *   Promise.resolve(40),\n         *   Promise.resolve(36)\n         * ]);\n         *\n         * numbers.then(_.spread(function(x, y) {\n         *   return x + y;\n         * }));\n         * // => a Promise of 76\n         */function spread(func,start){if(typeof func!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}start=start==null?0:nativeMax(toInteger(start),0);return baseRest(function(args){var array=args[start],otherArgs=castSlice(args,0,start);if(array){arrayPush(otherArgs,array);}return apply(func,this,otherArgs);});}/**\n         * Creates a throttled function that only invokes `func` at most once per\n         * every `wait` milliseconds. The throttled function comes with a `cancel`\n         * method to cancel delayed `func` invocations and a `flush` method to\n         * immediately invoke them. Provide `options` to indicate whether `func`\n         * should be invoked on the leading and/or trailing edge of the `wait`\n         * timeout. The `func` is invoked with the last arguments provided to the\n         * throttled function. Subsequent calls to the throttled function return the\n         * result of the last `func` invocation.\n         *\n         * **Note:** If `leading` and `trailing` options are `true`, `func` is\n         * invoked on the trailing edge of the timeout only if the throttled function\n         * is invoked more than once during the `wait` timeout.\n         *\n         * If `wait` is `0` and `leading` is `false`, `func` invocation is deferred\n         * until to the next tick, similar to `setTimeout` with a timeout of `0`.\n         *\n         * See [David Corbacho's article](https://css-tricks.com/debouncing-throttling-explained-examples/)\n         * for details over the differences between `_.throttle` and `_.debounce`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Function\n         * @param {Function} func The function to throttle.\n         * @param {number} [wait=0] The number of milliseconds to throttle invocations to.\n         * @param {Object} [options={}] The options object.\n         * @param {boolean} [options.leading=true]\n         *  Specify invoking on the leading edge of the timeout.\n         * @param {boolean} [options.trailing=true]\n         *  Specify invoking on the trailing edge of the timeout.\n         * @returns {Function} Returns the new throttled function.\n         * @example\n         *\n         * // Avoid excessively updating the position while scrolling.\n         * jQuery(window).on('scroll', _.throttle(updatePosition, 100));\n         *\n         * // Invoke `renewToken` when the click event is fired, but not more than once every 5 minutes.\n         * var throttled = _.throttle(renewToken, 300000, { 'trailing': false });\n         * jQuery(element).on('click', throttled);\n         *\n         * // Cancel the trailing throttled invocation.\n         * jQuery(window).on('popstate', throttled.cancel);\n         */function throttle(func,wait,options){var leading=true,trailing=true;if(typeof func!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}if(isObject(options)){leading='leading'in options?!!options.leading:leading;trailing='trailing'in options?!!options.trailing:trailing;}return debounce(func,wait,{leading:leading,maxWait:wait,trailing:trailing});}/**\n         * Creates a function that accepts up to one argument, ignoring any\n         * additional arguments.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Function\n         * @param {Function} func The function to cap arguments for.\n         * @returns {Function} Returns the new capped function.\n         * @example\n         *\n         * _.map(['6', '8', '10'], _.unary(parseInt));\n         * // => [6, 8, 10]\n         */function unary(func){return ary(func,1);}/**\n         * Creates a function that provides `value` to `wrapper` as its first\n         * argument. Any additional arguments provided to the function are appended\n         * to those provided to the `wrapper`. The wrapper is invoked with the `this`\n         * binding of the created function.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Function\n         * @param {*} value The value to wrap.\n         * @param {Function} [wrapper=identity] The wrapper function.\n         * @returns {Function} Returns the new function.\n         * @example\n         *\n         * var p = _.wrap(_.escape, function(func, text) {\n         *   return '<p>' + func(text) + '</p>';\n         * });\n         *\n         * p('fred, barney, & pebbles');\n         * // => '<p>fred, barney, &amp; pebbles</p>'\n         */function wrap(value,wrapper){return partial(castFunction(wrapper),value);}/* ------------------------------------------------------------------------*/ /**\n         * Casts `value` as an array if it's not one.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.4.0\n         * @category Lang\n         * @param {*} value The value to inspect.\n         * @returns {Array} Returns the cast array.\n         * @example\n         *\n         * _.castArray(1);\n         * // => [1]\n         *\n         * _.castArray({ 'a': 1 });\n         * // => [{ 'a': 1 }]\n         *\n         * _.castArray('abc');\n         * // => ['abc']\n         *\n         * _.castArray(null);\n         * // => [null]\n         *\n         * _.castArray(undefined);\n         * // => [undefined]\n         *\n         * _.castArray();\n         * // => []\n         *\n         * var array = [1, 2, 3];\n         * console.log(_.castArray(array) === array);\n         * // => true\n         */function castArray(){if(!arguments.length){return[];}var value=arguments[0];return isArray(value)?value:[value];}/**\n         * Creates a shallow clone of `value`.\n         *\n         * **Note:** This method is loosely based on the\n         * [structured clone algorithm](https://mdn.io/Structured_clone_algorithm)\n         * and supports cloning arrays, array buffers, booleans, date objects, maps,\n         * numbers, `Object` objects, regexes, sets, strings, symbols, and typed\n         * arrays. The own enumerable properties of `arguments` objects are cloned\n         * as plain objects. An empty object is returned for uncloneable values such\n         * as error objects, functions, DOM nodes, and WeakMaps.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to clone.\n         * @returns {*} Returns the cloned value.\n         * @see _.cloneDeep\n         * @example\n         *\n         * var objects = [{ 'a': 1 }, { 'b': 2 }];\n         *\n         * var shallow = _.clone(objects);\n         * console.log(shallow[0] === objects[0]);\n         * // => true\n         */function clone(value){return baseClone(value,CLONE_SYMBOLS_FLAG);}/**\n         * This method is like `_.clone` except that it accepts `customizer` which\n         * is invoked to produce the cloned value. If `customizer` returns `undefined`,\n         * cloning is handled by the method instead. The `customizer` is invoked with\n         * up to four arguments; (value [, index|key, object, stack]).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to clone.\n         * @param {Function} [customizer] The function to customize cloning.\n         * @returns {*} Returns the cloned value.\n         * @see _.cloneDeepWith\n         * @example\n         *\n         * function customizer(value) {\n         *   if (_.isElement(value)) {\n         *     return value.cloneNode(false);\n         *   }\n         * }\n         *\n         * var el = _.cloneWith(document.body, customizer);\n         *\n         * console.log(el === document.body);\n         * // => false\n         * console.log(el.nodeName);\n         * // => 'BODY'\n         * console.log(el.childNodes.length);\n         * // => 0\n         */function cloneWith(value,customizer){customizer=typeof customizer==='function'?customizer:undefined;return baseClone(value,CLONE_SYMBOLS_FLAG,customizer);}/**\n         * This method is like `_.clone` except that it recursively clones `value`.\n         *\n         * @static\n         * @memberOf _\n         * @since 1.0.0\n         * @category Lang\n         * @param {*} value The value to recursively clone.\n         * @returns {*} Returns the deep cloned value.\n         * @see _.clone\n         * @example\n         *\n         * var objects = [{ 'a': 1 }, { 'b': 2 }];\n         *\n         * var deep = _.cloneDeep(objects);\n         * console.log(deep[0] === objects[0]);\n         * // => false\n         */function cloneDeep(value){return baseClone(value,CLONE_DEEP_FLAG|CLONE_SYMBOLS_FLAG);}/**\n         * This method is like `_.cloneWith` except that it recursively clones `value`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to recursively clone.\n         * @param {Function} [customizer] The function to customize cloning.\n         * @returns {*} Returns the deep cloned value.\n         * @see _.cloneWith\n         * @example\n         *\n         * function customizer(value) {\n         *   if (_.isElement(value)) {\n         *     return value.cloneNode(true);\n         *   }\n         * }\n         *\n         * var el = _.cloneDeepWith(document.body, customizer);\n         *\n         * console.log(el === document.body);\n         * // => false\n         * console.log(el.nodeName);\n         * // => 'BODY'\n         * console.log(el.childNodes.length);\n         * // => 20\n         */function cloneDeepWith(value,customizer){customizer=typeof customizer==='function'?customizer:undefined;return baseClone(value,CLONE_DEEP_FLAG|CLONE_SYMBOLS_FLAG,customizer);}/**\n         * Checks if `object` conforms to `source` by invoking the predicate\n         * properties of `source` with the corresponding property values of `object`.\n         *\n         * **Note:** This method is equivalent to `_.conforms` when `source` is\n         * partially applied.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.14.0\n         * @category Lang\n         * @param {Object} object The object to inspect.\n         * @param {Object} source The object of property predicates to conform to.\n         * @returns {boolean} Returns `true` if `object` conforms, else `false`.\n         * @example\n         *\n         * var object = { 'a': 1, 'b': 2 };\n         *\n         * _.conformsTo(object, { 'b': function(n) { return n > 1; } });\n         * // => true\n         *\n         * _.conformsTo(object, { 'b': function(n) { return n > 2; } });\n         * // => false\n         */function conformsTo(object,source){return source==null||baseConformsTo(object,source,keys(source));}/**\n         * Performs a\n         * [`SameValueZero`](http://ecma-international.org/ecma-262/7.0/#sec-samevaluezero)\n         * comparison between two values to determine if they are equivalent.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n         * @example\n         *\n         * var object = { 'a': 1 };\n         * var other = { 'a': 1 };\n         *\n         * _.eq(object, object);\n         * // => true\n         *\n         * _.eq(object, other);\n         * // => false\n         *\n         * _.eq('a', 'a');\n         * // => true\n         *\n         * _.eq('a', Object('a'));\n         * // => false\n         *\n         * _.eq(NaN, NaN);\n         * // => true\n         */function eq(value,other){return value===other||value!==value&&other!==other;}/**\n         * Checks if `value` is greater than `other`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.9.0\n         * @category Lang\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @returns {boolean} Returns `true` if `value` is greater than `other`,\n         *  else `false`.\n         * @see _.lt\n         * @example\n         *\n         * _.gt(3, 1);\n         * // => true\n         *\n         * _.gt(3, 3);\n         * // => false\n         *\n         * _.gt(1, 3);\n         * // => false\n         */var gt=createRelationalOperation(baseGt);/**\n         * Checks if `value` is greater than or equal to `other`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.9.0\n         * @category Lang\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @returns {boolean} Returns `true` if `value` is greater than or equal to\n         *  `other`, else `false`.\n         * @see _.lte\n         * @example\n         *\n         * _.gte(3, 1);\n         * // => true\n         *\n         * _.gte(3, 3);\n         * // => true\n         *\n         * _.gte(1, 3);\n         * // => false\n         */var gte=createRelationalOperation(function(value,other){return value>=other;});/**\n       * Checks if `value` is likely an `arguments` object.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Lang\n       * @param {*} value The value to check.\n       * @returns {boolean} Returns `true` if `value` is an `arguments` object,\n       *  else `false`.\n       * @example\n       *\n       * _.isArguments(function() { return arguments; }());\n       * // => true\n       *\n       * _.isArguments([1, 2, 3]);\n       * // => false\n       */var isArguments=baseIsArguments(function(){return arguments;}())?baseIsArguments:function(value){return isObjectLike(value)&&hasOwnProperty.call(value,'callee')&&!propertyIsEnumerable.call(value,'callee');};/**\n       * Checks if `value` is classified as an `Array` object.\n       *\n       * @static\n       * @memberOf _\n       * @since 0.1.0\n       * @category Lang\n       * @param {*} value The value to check.\n       * @returns {boolean} Returns `true` if `value` is an array, else `false`.\n       * @example\n       *\n       * _.isArray([1, 2, 3]);\n       * // => true\n       *\n       * _.isArray(document.body.children);\n       * // => false\n       *\n       * _.isArray('abc');\n       * // => false\n       *\n       * _.isArray(_.noop);\n       * // => false\n       */var isArray=Array.isArray;/**\n         * Checks if `value` is classified as an `ArrayBuffer` object.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.3.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is an array buffer, else `false`.\n         * @example\n         *\n         * _.isArrayBuffer(new ArrayBuffer(2));\n         * // => true\n         *\n         * _.isArrayBuffer(new Array(2));\n         * // => false\n         */var isArrayBuffer=nodeIsArrayBuffer?baseUnary(nodeIsArrayBuffer):baseIsArrayBuffer;/**\n       * Checks if `value` is array-like. A value is considered array-like if it's\n       * not a function and has a `value.length` that's an integer greater than or\n       * equal to `0` and less than or equal to `Number.MAX_SAFE_INTEGER`.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Lang\n       * @param {*} value The value to check.\n       * @returns {boolean} Returns `true` if `value` is array-like, else `false`.\n       * @example\n       *\n       * _.isArrayLike([1, 2, 3]);\n       * // => true\n       *\n       * _.isArrayLike(document.body.children);\n       * // => true\n       *\n       * _.isArrayLike('abc');\n       * // => true\n       *\n       * _.isArrayLike(_.noop);\n       * // => false\n       */function isArrayLike(value){return value!=null&&isLength(value.length)&&!isFunction(value);}/**\n         * This method is like `_.isArrayLike` except that it also checks if `value`\n         * is an object.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is an array-like object,\n         *  else `false`.\n         * @example\n         *\n         * _.isArrayLikeObject([1, 2, 3]);\n         * // => true\n         *\n         * _.isArrayLikeObject(document.body.children);\n         * // => true\n         *\n         * _.isArrayLikeObject('abc');\n         * // => false\n         *\n         * _.isArrayLikeObject(_.noop);\n         * // => false\n         */function isArrayLikeObject(value){return isObjectLike(value)&&isArrayLike(value);}/**\n         * Checks if `value` is classified as a boolean primitive or object.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a boolean, else `false`.\n         * @example\n         *\n         * _.isBoolean(false);\n         * // => true\n         *\n         * _.isBoolean(null);\n         * // => false\n         */function isBoolean(value){return value===true||value===false||isObjectLike(value)&&baseGetTag(value)==boolTag;}/**\n         * Checks if `value` is a buffer.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.3.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a buffer, else `false`.\n         * @example\n         *\n         * _.isBuffer(new Buffer(2));\n         * // => true\n         *\n         * _.isBuffer(new Uint8Array(2));\n         * // => false\n         */var isBuffer=nativeIsBuffer||stubFalse;/**\n         * Checks if `value` is classified as a `Date` object.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a date object, else `false`.\n         * @example\n         *\n         * _.isDate(new Date);\n         * // => true\n         *\n         * _.isDate('Mon April 23 2012');\n         * // => false\n         */var isDate=nodeIsDate?baseUnary(nodeIsDate):baseIsDate;/**\n         * Checks if `value` is likely a DOM element.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a DOM element, else `false`.\n         * @example\n         *\n         * _.isElement(document.body);\n         * // => true\n         *\n         * _.isElement('<body>');\n         * // => false\n         */function isElement(value){return isObjectLike(value)&&value.nodeType===1&&!isPlainObject(value);}/**\n         * Checks if `value` is an empty object, collection, map, or set.\n         *\n         * Objects are considered empty if they have no own enumerable string keyed\n         * properties.\n         *\n         * Array-like values such as `arguments` objects, arrays, buffers, strings, or\n         * jQuery-like collections are considered empty if they have a `length` of `0`.\n         * Similarly, maps and sets are considered empty if they have a `size` of `0`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is empty, else `false`.\n         * @example\n         *\n         * _.isEmpty(null);\n         * // => true\n         *\n         * _.isEmpty(true);\n         * // => true\n         *\n         * _.isEmpty(1);\n         * // => true\n         *\n         * _.isEmpty([1, 2, 3]);\n         * // => false\n         *\n         * _.isEmpty({ 'a': 1 });\n         * // => false\n         */function isEmpty(value){if(value==null){return true;}if(isArrayLike(value)&&(isArray(value)||typeof value==='string'||typeof value.splice==='function'||isBuffer(value)||isTypedArray(value)||isArguments(value))){return!value.length;}var tag=getTag(value);if(tag==mapTag||tag==setTag){return!value.size;}if(isPrototype(value)){return!baseKeys(value).length;}for(var key in value){if(hasOwnProperty.call(value,key)){return false;}}return true;}/**\n         * Performs a deep comparison between two values to determine if they are\n         * equivalent.\n         *\n         * **Note:** This method supports comparing arrays, array buffers, booleans,\n         * date objects, error objects, maps, numbers, `Object` objects, regexes,\n         * sets, strings, symbols, and typed arrays. `Object` objects are compared\n         * by their own, not inherited, enumerable properties. Functions and DOM\n         * nodes are compared by strict equality, i.e. `===`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n         * @example\n         *\n         * var object = { 'a': 1 };\n         * var other = { 'a': 1 };\n         *\n         * _.isEqual(object, other);\n         * // => true\n         *\n         * object === other;\n         * // => false\n         */function isEqual(value,other){return baseIsEqual(value,other);}/**\n         * This method is like `_.isEqual` except that it accepts `customizer` which\n         * is invoked to compare values. If `customizer` returns `undefined`, comparisons\n         * are handled by the method instead. The `customizer` is invoked with up to\n         * six arguments: (objValue, othValue [, index|key, object, other, stack]).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @param {Function} [customizer] The function to customize comparisons.\n         * @returns {boolean} Returns `true` if the values are equivalent, else `false`.\n         * @example\n         *\n         * function isGreeting(value) {\n         *   return /^h(?:i|ello)$/.test(value);\n         * }\n         *\n         * function customizer(objValue, othValue) {\n         *   if (isGreeting(objValue) && isGreeting(othValue)) {\n         *     return true;\n         *   }\n         * }\n         *\n         * var array = ['hello', 'goodbye'];\n         * var other = ['hi', 'goodbye'];\n         *\n         * _.isEqualWith(array, other, customizer);\n         * // => true\n         */function isEqualWith(value,other,customizer){customizer=typeof customizer==='function'?customizer:undefined;var result=customizer?customizer(value,other):undefined;return result===undefined?baseIsEqual(value,other,undefined,customizer):!!result;}/**\n         * Checks if `value` is an `Error`, `EvalError`, `RangeError`, `ReferenceError`,\n         * `SyntaxError`, `TypeError`, or `URIError` object.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is an error object, else `false`.\n         * @example\n         *\n         * _.isError(new Error);\n         * // => true\n         *\n         * _.isError(Error);\n         * // => false\n         */function isError(value){if(!isObjectLike(value)){return false;}var tag=baseGetTag(value);return tag==errorTag||tag==domExcTag||typeof value.message==='string'&&typeof value.name==='string'&&!isPlainObject(value);}/**\n         * Checks if `value` is a finite primitive number.\n         *\n         * **Note:** This method is based on\n         * [`Number.isFinite`](https://mdn.io/Number/isFinite).\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a finite number, else `false`.\n         * @example\n         *\n         * _.isFinite(3);\n         * // => true\n         *\n         * _.isFinite(Number.MIN_VALUE);\n         * // => true\n         *\n         * _.isFinite(Infinity);\n         * // => false\n         *\n         * _.isFinite('3');\n         * // => false\n         */function isFinite(value){return typeof value==='number'&&nativeIsFinite(value);}/**\n         * Checks if `value` is classified as a `Function` object.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a function, else `false`.\n         * @example\n         *\n         * _.isFunction(_);\n         * // => true\n         *\n         * _.isFunction(/abc/);\n         * // => false\n         */function isFunction(value){if(!isObject(value)){return false;}// The use of `Object#toString` avoids issues with the `typeof` operator\n// in Safari 9 which returns 'object' for typed arrays and other constructors.\nvar tag=baseGetTag(value);return tag==funcTag||tag==genTag||tag==asyncTag||tag==proxyTag;}/**\n         * Checks if `value` is an integer.\n         *\n         * **Note:** This method is based on\n         * [`Number.isInteger`](https://mdn.io/Number/isInteger).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is an integer, else `false`.\n         * @example\n         *\n         * _.isInteger(3);\n         * // => true\n         *\n         * _.isInteger(Number.MIN_VALUE);\n         * // => false\n         *\n         * _.isInteger(Infinity);\n         * // => false\n         *\n         * _.isInteger('3');\n         * // => false\n         */function isInteger(value){return typeof value==='number'&&value==toInteger(value);}/**\n         * Checks if `value` is a valid array-like length.\n         *\n         * **Note:** This method is loosely based on\n         * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a valid length, else `false`.\n         * @example\n         *\n         * _.isLength(3);\n         * // => true\n         *\n         * _.isLength(Number.MIN_VALUE);\n         * // => false\n         *\n         * _.isLength(Infinity);\n         * // => false\n         *\n         * _.isLength('3');\n         * // => false\n         */function isLength(value){return typeof value==='number'&&value>-1&&value%1==0&&value<=MAX_SAFE_INTEGER;}/**\n         * Checks if `value` is the\n         * [language type](http://www.ecma-international.org/ecma-262/7.0/#sec-ecmascript-language-types)\n         * of `Object`. (e.g. arrays, functions, objects, regexes, `new Number(0)`, and `new String('')`)\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is an object, else `false`.\n         * @example\n         *\n         * _.isObject({});\n         * // => true\n         *\n         * _.isObject([1, 2, 3]);\n         * // => true\n         *\n         * _.isObject(_.noop);\n         * // => true\n         *\n         * _.isObject(null);\n         * // => false\n         */function isObject(value){var type=typeof value==='undefined'?'undefined':_typeof(value);return value!=null&&(type=='object'||type=='function');}/**\n         * Checks if `value` is object-like. A value is object-like if it's not `null`\n         * and has a `typeof` result of \"object\".\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is object-like, else `false`.\n         * @example\n         *\n         * _.isObjectLike({});\n         * // => true\n         *\n         * _.isObjectLike([1, 2, 3]);\n         * // => true\n         *\n         * _.isObjectLike(_.noop);\n         * // => false\n         *\n         * _.isObjectLike(null);\n         * // => false\n         */function isObjectLike(value){return value!=null&&(typeof value==='undefined'?'undefined':_typeof(value))==='object';}/**\n         * Checks if `value` is classified as a `Map` object.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.3.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a map, else `false`.\n         * @example\n         *\n         * _.isMap(new Map);\n         * // => true\n         *\n         * _.isMap(new WeakMap);\n         * // => false\n         */var isMap=nodeIsMap?baseUnary(nodeIsMap):baseIsMap;/**\n         * Performs a partial deep comparison between `object` and `source` to\n         * determine if `object` contains equivalent property values.\n         *\n         * **Note:** This method is equivalent to `_.matches` when `source` is\n         * partially applied.\n         *\n         * Partial comparisons will match empty array and empty object `source`\n         * values against any array or object value, respectively. See `_.isEqual`\n         * for a list of supported value comparisons.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Lang\n         * @param {Object} object The object to inspect.\n         * @param {Object} source The object of property values to match.\n         * @returns {boolean} Returns `true` if `object` is a match, else `false`.\n         * @example\n         *\n         * var object = { 'a': 1, 'b': 2 };\n         *\n         * _.isMatch(object, { 'b': 2 });\n         * // => true\n         *\n         * _.isMatch(object, { 'b': 1 });\n         * // => false\n         */function isMatch(object,source){return object===source||baseIsMatch(object,source,getMatchData(source));}/**\n         * This method is like `_.isMatch` except that it accepts `customizer` which\n         * is invoked to compare values. If `customizer` returns `undefined`, comparisons\n         * are handled by the method instead. The `customizer` is invoked with five\n         * arguments: (objValue, srcValue, index|key, object, source).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {Object} object The object to inspect.\n         * @param {Object} source The object of property values to match.\n         * @param {Function} [customizer] The function to customize comparisons.\n         * @returns {boolean} Returns `true` if `object` is a match, else `false`.\n         * @example\n         *\n         * function isGreeting(value) {\n         *   return /^h(?:i|ello)$/.test(value);\n         * }\n         *\n         * function customizer(objValue, srcValue) {\n         *   if (isGreeting(objValue) && isGreeting(srcValue)) {\n         *     return true;\n         *   }\n         * }\n         *\n         * var object = { 'greeting': 'hello' };\n         * var source = { 'greeting': 'hi' };\n         *\n         * _.isMatchWith(object, source, customizer);\n         * // => true\n         */function isMatchWith(object,source,customizer){customizer=typeof customizer==='function'?customizer:undefined;return baseIsMatch(object,source,getMatchData(source),customizer);}/**\n         * Checks if `value` is `NaN`.\n         *\n         * **Note:** This method is based on\n         * [`Number.isNaN`](https://mdn.io/Number/isNaN) and is not the same as\n         * global [`isNaN`](https://mdn.io/isNaN) which returns `true` for\n         * `undefined` and other non-number values.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is `NaN`, else `false`.\n         * @example\n         *\n         * _.isNaN(NaN);\n         * // => true\n         *\n         * _.isNaN(new Number(NaN));\n         * // => true\n         *\n         * isNaN(undefined);\n         * // => true\n         *\n         * _.isNaN(undefined);\n         * // => false\n         */function isNaN(value){// An `NaN` primitive is the only value that is not equal to itself.\n// Perform the `toStringTag` check first to avoid errors with some\n// ActiveX objects in IE.\nreturn isNumber(value)&&value!=+value;}/**\n         * Checks if `value` is a pristine native function.\n         *\n         * **Note:** This method can't reliably detect native functions in the presence\n         * of the core-js package because core-js circumvents this kind of detection.\n         * Despite multiple requests, the core-js maintainer has made it clear: any\n         * attempt to fix the detection will be obstructed. As a result, we're left\n         * with little choice but to throw an error. Unfortunately, this also affects\n         * packages, like [babel-polyfill](https://www.npmjs.com/package/babel-polyfill),\n         * which rely on core-js.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a native function,\n         *  else `false`.\n         * @example\n         *\n         * _.isNative(Array.prototype.push);\n         * // => true\n         *\n         * _.isNative(_);\n         * // => false\n         */function isNative(value){if(isMaskable(value)){throw new Error(CORE_ERROR_TEXT);}return baseIsNative(value);}/**\n         * Checks if `value` is `null`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is `null`, else `false`.\n         * @example\n         *\n         * _.isNull(null);\n         * // => true\n         *\n         * _.isNull(void 0);\n         * // => false\n         */function isNull(value){return value===null;}/**\n         * Checks if `value` is `null` or `undefined`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is nullish, else `false`.\n         * @example\n         *\n         * _.isNil(null);\n         * // => true\n         *\n         * _.isNil(void 0);\n         * // => true\n         *\n         * _.isNil(NaN);\n         * // => false\n         */function isNil(value){return value==null;}/**\n         * Checks if `value` is classified as a `Number` primitive or object.\n         *\n         * **Note:** To exclude `Infinity`, `-Infinity`, and `NaN`, which are\n         * classified as numbers, use the `_.isFinite` method.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a number, else `false`.\n         * @example\n         *\n         * _.isNumber(3);\n         * // => true\n         *\n         * _.isNumber(Number.MIN_VALUE);\n         * // => true\n         *\n         * _.isNumber(Infinity);\n         * // => true\n         *\n         * _.isNumber('3');\n         * // => false\n         */function isNumber(value){return typeof value==='number'||isObjectLike(value)&&baseGetTag(value)==numberTag;}/**\n         * Checks if `value` is a plain object, that is, an object created by the\n         * `Object` constructor or one with a `[[Prototype]]` of `null`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.8.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a plain object, else `false`.\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         * }\n         *\n         * _.isPlainObject(new Foo);\n         * // => false\n         *\n         * _.isPlainObject([1, 2, 3]);\n         * // => false\n         *\n         * _.isPlainObject({ 'x': 0, 'y': 0 });\n         * // => true\n         *\n         * _.isPlainObject(Object.create(null));\n         * // => true\n         */function isPlainObject(value){if(!isObjectLike(value)||baseGetTag(value)!=objectTag){return false;}var proto=getPrototype(value);if(proto===null){return true;}var Ctor=hasOwnProperty.call(proto,'constructor')&&proto.constructor;return typeof Ctor==='function'&&Ctor instanceof Ctor&&funcToString.call(Ctor)==objectCtorString;}/**\n         * Checks if `value` is classified as a `RegExp` object.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.1.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a regexp, else `false`.\n         * @example\n         *\n         * _.isRegExp(/abc/);\n         * // => true\n         *\n         * _.isRegExp('/abc/');\n         * // => false\n         */var isRegExp=nodeIsRegExp?baseUnary(nodeIsRegExp):baseIsRegExp;/**\n         * Checks if `value` is a safe integer. An integer is safe if it's an IEEE-754\n         * double precision number which isn't the result of a rounded unsafe integer.\n         *\n         * **Note:** This method is based on\n         * [`Number.isSafeInteger`](https://mdn.io/Number/isSafeInteger).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a safe integer, else `false`.\n         * @example\n         *\n         * _.isSafeInteger(3);\n         * // => true\n         *\n         * _.isSafeInteger(Number.MIN_VALUE);\n         * // => false\n         *\n         * _.isSafeInteger(Infinity);\n         * // => false\n         *\n         * _.isSafeInteger('3');\n         * // => false\n         */function isSafeInteger(value){return isInteger(value)&&value>=-MAX_SAFE_INTEGER&&value<=MAX_SAFE_INTEGER;}/**\n         * Checks if `value` is classified as a `Set` object.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.3.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a set, else `false`.\n         * @example\n         *\n         * _.isSet(new Set);\n         * // => true\n         *\n         * _.isSet(new WeakSet);\n         * // => false\n         */var isSet=nodeIsSet?baseUnary(nodeIsSet):baseIsSet;/**\n         * Checks if `value` is classified as a `String` primitive or object.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a string, else `false`.\n         * @example\n         *\n         * _.isString('abc');\n         * // => true\n         *\n         * _.isString(1);\n         * // => false\n         */function isString(value){return typeof value==='string'||!isArray(value)&&isObjectLike(value)&&baseGetTag(value)==stringTag;}/**\n         * Checks if `value` is classified as a `Symbol` primitive or object.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a symbol, else `false`.\n         * @example\n         *\n         * _.isSymbol(Symbol.iterator);\n         * // => true\n         *\n         * _.isSymbol('abc');\n         * // => false\n         */function isSymbol(value){return(typeof value==='undefined'?'undefined':_typeof(value))==='symbol'||isObjectLike(value)&&baseGetTag(value)==symbolTag;}/**\n         * Checks if `value` is classified as a typed array.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a typed array, else `false`.\n         * @example\n         *\n         * _.isTypedArray(new Uint8Array);\n         * // => true\n         *\n         * _.isTypedArray([]);\n         * // => false\n         */var isTypedArray=nodeIsTypedArray?baseUnary(nodeIsTypedArray):baseIsTypedArray;/**\n       * Checks if `value` is `undefined`.\n       *\n       * @static\n       * @since 0.1.0\n       * @memberOf _\n       * @category Lang\n       * @param {*} value The value to check.\n       * @returns {boolean} Returns `true` if `value` is `undefined`, else `false`.\n       * @example\n       *\n       * _.isUndefined(void 0);\n       * // => true\n       *\n       * _.isUndefined(null);\n       * // => false\n       */function isUndefined(value){return value===undefined;}/**\n         * Checks if `value` is classified as a `WeakMap` object.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.3.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a weak map, else `false`.\n         * @example\n         *\n         * _.isWeakMap(new WeakMap);\n         * // => true\n         *\n         * _.isWeakMap(new Map);\n         * // => false\n         */function isWeakMap(value){return isObjectLike(value)&&getTag(value)==weakMapTag;}/**\n         * Checks if `value` is classified as a `WeakSet` object.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.3.0\n         * @category Lang\n         * @param {*} value The value to check.\n         * @returns {boolean} Returns `true` if `value` is a weak set, else `false`.\n         * @example\n         *\n         * _.isWeakSet(new WeakSet);\n         * // => true\n         *\n         * _.isWeakSet(new Set);\n         * // => false\n         */function isWeakSet(value){return isObjectLike(value)&&baseGetTag(value)==weakSetTag;}/**\n         * Checks if `value` is less than `other`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.9.0\n         * @category Lang\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @returns {boolean} Returns `true` if `value` is less than `other`,\n         *  else `false`.\n         * @see _.gt\n         * @example\n         *\n         * _.lt(1, 3);\n         * // => true\n         *\n         * _.lt(3, 3);\n         * // => false\n         *\n         * _.lt(3, 1);\n         * // => false\n         */var lt=createRelationalOperation(baseLt);/**\n         * Checks if `value` is less than or equal to `other`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.9.0\n         * @category Lang\n         * @param {*} value The value to compare.\n         * @param {*} other The other value to compare.\n         * @returns {boolean} Returns `true` if `value` is less than or equal to\n         *  `other`, else `false`.\n         * @see _.gte\n         * @example\n         *\n         * _.lte(1, 3);\n         * // => true\n         *\n         * _.lte(3, 3);\n         * // => true\n         *\n         * _.lte(3, 1);\n         * // => false\n         */var lte=createRelationalOperation(function(value,other){return value<=other;});/**\n       * Converts `value` to an array.\n       *\n       * @static\n       * @since 0.1.0\n       * @memberOf _\n       * @category Lang\n       * @param {*} value The value to convert.\n       * @returns {Array} Returns the converted array.\n       * @example\n       *\n       * _.toArray({ 'a': 1, 'b': 2 });\n       * // => [1, 2]\n       *\n       * _.toArray('abc');\n       * // => ['a', 'b', 'c']\n       *\n       * _.toArray(1);\n       * // => []\n       *\n       * _.toArray(null);\n       * // => []\n       */function toArray(value){if(!value){return[];}if(isArrayLike(value)){return isString(value)?stringToArray(value):copyArray(value);}if(symIterator&&value[symIterator]){return iteratorToArray(value[symIterator]());}var tag=getTag(value),func=tag==mapTag?mapToArray:tag==setTag?setToArray:values;return func(value);}/**\n         * Converts `value` to a finite number.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.12.0\n         * @category Lang\n         * @param {*} value The value to convert.\n         * @returns {number} Returns the converted number.\n         * @example\n         *\n         * _.toFinite(3.2);\n         * // => 3.2\n         *\n         * _.toFinite(Number.MIN_VALUE);\n         * // => 5e-324\n         *\n         * _.toFinite(Infinity);\n         * // => 1.7976931348623157e+308\n         *\n         * _.toFinite('3.2');\n         * // => 3.2\n         */function toFinite(value){if(!value){return value===0?value:0;}value=toNumber(value);if(value===INFINITY||value===-INFINITY){var sign=value<0?-1:1;return sign*MAX_INTEGER;}return value===value?value:0;}/**\n         * Converts `value` to an integer.\n         *\n         * **Note:** This method is loosely based on\n         * [`ToInteger`](http://www.ecma-international.org/ecma-262/7.0/#sec-tointeger).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to convert.\n         * @returns {number} Returns the converted integer.\n         * @example\n         *\n         * _.toInteger(3.2);\n         * // => 3\n         *\n         * _.toInteger(Number.MIN_VALUE);\n         * // => 0\n         *\n         * _.toInteger(Infinity);\n         * // => 1.7976931348623157e+308\n         *\n         * _.toInteger('3.2');\n         * // => 3\n         */function toInteger(value){var result=toFinite(value),remainder=result%1;return result===result?remainder?result-remainder:result:0;}/**\n         * Converts `value` to an integer suitable for use as the length of an\n         * array-like object.\n         *\n         * **Note:** This method is based on\n         * [`ToLength`](http://ecma-international.org/ecma-262/7.0/#sec-tolength).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to convert.\n         * @returns {number} Returns the converted integer.\n         * @example\n         *\n         * _.toLength(3.2);\n         * // => 3\n         *\n         * _.toLength(Number.MIN_VALUE);\n         * // => 0\n         *\n         * _.toLength(Infinity);\n         * // => 4294967295\n         *\n         * _.toLength('3.2');\n         * // => 3\n         */function toLength(value){return value?baseClamp(toInteger(value),0,MAX_ARRAY_LENGTH):0;}/**\n         * Converts `value` to a number.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to process.\n         * @returns {number} Returns the number.\n         * @example\n         *\n         * _.toNumber(3.2);\n         * // => 3.2\n         *\n         * _.toNumber(Number.MIN_VALUE);\n         * // => 5e-324\n         *\n         * _.toNumber(Infinity);\n         * // => Infinity\n         *\n         * _.toNumber('3.2');\n         * // => 3.2\n         */function toNumber(value){if(typeof value==='number'){return value;}if(isSymbol(value)){return NAN;}if(isObject(value)){var other=typeof value.valueOf==='function'?value.valueOf():value;value=isObject(other)?other+'':other;}if(typeof value!=='string'){return value===0?value:+value;}value=value.replace(reTrim,'');var isBinary=reIsBinary.test(value);return isBinary||reIsOctal.test(value)?freeParseInt(value.slice(2),isBinary?2:8):reIsBadHex.test(value)?NAN:+value;}/**\n         * Converts `value` to a plain object flattening inherited enumerable string\n         * keyed properties of `value` to own properties of the plain object.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Lang\n         * @param {*} value The value to convert.\n         * @returns {Object} Returns the converted plain object.\n         * @example\n         *\n         * function Foo() {\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.assign({ 'a': 1 }, new Foo);\n         * // => { 'a': 1, 'b': 2 }\n         *\n         * _.assign({ 'a': 1 }, _.toPlainObject(new Foo));\n         * // => { 'a': 1, 'b': 2, 'c': 3 }\n         */function toPlainObject(value){return copyObject(value,keysIn(value));}/**\n         * Converts `value` to a safe integer. A safe integer can be compared and\n         * represented correctly.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to convert.\n         * @returns {number} Returns the converted integer.\n         * @example\n         *\n         * _.toSafeInteger(3.2);\n         * // => 3\n         *\n         * _.toSafeInteger(Number.MIN_VALUE);\n         * // => 0\n         *\n         * _.toSafeInteger(Infinity);\n         * // => 9007199254740991\n         *\n         * _.toSafeInteger('3.2');\n         * // => 3\n         */function toSafeInteger(value){return value?baseClamp(toInteger(value),-MAX_SAFE_INTEGER,MAX_SAFE_INTEGER):value===0?value:0;}/**\n         * Converts `value` to a string. An empty string is returned for `null`\n         * and `undefined` values. The sign of `-0` is preserved.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Lang\n         * @param {*} value The value to convert.\n         * @returns {string} Returns the converted string.\n         * @example\n         *\n         * _.toString(null);\n         * // => ''\n         *\n         * _.toString(-0);\n         * // => '-0'\n         *\n         * _.toString([1, 2, 3]);\n         * // => '1,2,3'\n         */function toString(value){return value==null?'':baseToString(value);}/* ------------------------------------------------------------------------*/ /**\n         * Assigns own enumerable string keyed properties of source objects to the\n         * destination object. Source objects are applied from left to right.\n         * Subsequent sources overwrite property assignments of previous sources.\n         *\n         * **Note:** This method mutates `object` and is loosely based on\n         * [`Object.assign`](https://mdn.io/Object/assign).\n         *\n         * @static\n         * @memberOf _\n         * @since 0.10.0\n         * @category Object\n         * @param {Object} object The destination object.\n         * @param {...Object} [sources] The source objects.\n         * @returns {Object} Returns `object`.\n         * @see _.assignIn\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         * }\n         *\n         * function Bar() {\n         *   this.c = 3;\n         * }\n         *\n         * Foo.prototype.b = 2;\n         * Bar.prototype.d = 4;\n         *\n         * _.assign({ 'a': 0 }, new Foo, new Bar);\n         * // => { 'a': 1, 'c': 3 }\n         */var assign=createAssigner(function(object,source){if(isPrototype(source)||isArrayLike(source)){copyObject(source,keys(source),object);return;}for(var key in source){if(hasOwnProperty.call(source,key)){assignValue(object,key,source[key]);}}});/**\n       * This method is like `_.assign` except that it iterates over own and\n       * inherited source properties.\n       *\n       * **Note:** This method mutates `object`.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @alias extend\n       * @category Object\n       * @param {Object} object The destination object.\n       * @param {...Object} [sources] The source objects.\n       * @returns {Object} Returns `object`.\n       * @see _.assign\n       * @example\n       *\n       * function Foo() {\n       *   this.a = 1;\n       * }\n       *\n       * function Bar() {\n       *   this.c = 3;\n       * }\n       *\n       * Foo.prototype.b = 2;\n       * Bar.prototype.d = 4;\n       *\n       * _.assignIn({ 'a': 0 }, new Foo, new Bar);\n       * // => { 'a': 1, 'b': 2, 'c': 3, 'd': 4 }\n       */var assignIn=createAssigner(function(object,source){copyObject(source,keysIn(source),object);});/**\n       * This method is like `_.assignIn` except that it accepts `customizer`\n       * which is invoked to produce the assigned values. If `customizer` returns\n       * `undefined`, assignment is handled by the method instead. The `customizer`\n       * is invoked with five arguments: (objValue, srcValue, key, object, source).\n       *\n       * **Note:** This method mutates `object`.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @alias extendWith\n       * @category Object\n       * @param {Object} object The destination object.\n       * @param {...Object} sources The source objects.\n       * @param {Function} [customizer] The function to customize assigned values.\n       * @returns {Object} Returns `object`.\n       * @see _.assignWith\n       * @example\n       *\n       * function customizer(objValue, srcValue) {\n       *   return _.isUndefined(objValue) ? srcValue : objValue;\n       * }\n       *\n       * var defaults = _.partialRight(_.assignInWith, customizer);\n       *\n       * defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 });\n       * // => { 'a': 1, 'b': 2 }\n       */var assignInWith=createAssigner(function(object,source,srcIndex,customizer){copyObject(source,keysIn(source),object,customizer);});/**\n       * This method is like `_.assign` except that it accepts `customizer`\n       * which is invoked to produce the assigned values. If `customizer` returns\n       * `undefined`, assignment is handled by the method instead. The `customizer`\n       * is invoked with five arguments: (objValue, srcValue, key, object, source).\n       *\n       * **Note:** This method mutates `object`.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Object\n       * @param {Object} object The destination object.\n       * @param {...Object} sources The source objects.\n       * @param {Function} [customizer] The function to customize assigned values.\n       * @returns {Object} Returns `object`.\n       * @see _.assignInWith\n       * @example\n       *\n       * function customizer(objValue, srcValue) {\n       *   return _.isUndefined(objValue) ? srcValue : objValue;\n       * }\n       *\n       * var defaults = _.partialRight(_.assignWith, customizer);\n       *\n       * defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 });\n       * // => { 'a': 1, 'b': 2 }\n       */var assignWith=createAssigner(function(object,source,srcIndex,customizer){copyObject(source,keys(source),object,customizer);});/**\n       * Creates an array of values corresponding to `paths` of `object`.\n       *\n       * @static\n       * @memberOf _\n       * @since 1.0.0\n       * @category Object\n       * @param {Object} object The object to iterate over.\n       * @param {...(string|string[])} [paths] The property paths to pick.\n       * @returns {Array} Returns the picked values.\n       * @example\n       *\n       * var object = { 'a': [{ 'b': { 'c': 3 } }, 4] };\n       *\n       * _.at(object, ['a[0].b.c', 'a[1]']);\n       * // => [3, 4]\n       */var at=flatRest(baseAt);/**\n         * Creates an object that inherits from the `prototype` object. If a\n         * `properties` object is given, its own enumerable string keyed properties\n         * are assigned to the created object.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.3.0\n         * @category Object\n         * @param {Object} prototype The object to inherit from.\n         * @param {Object} [properties] The properties to assign to the object.\n         * @returns {Object} Returns the new object.\n         * @example\n         *\n         * function Shape() {\n         *   this.x = 0;\n         *   this.y = 0;\n         * }\n         *\n         * function Circle() {\n         *   Shape.call(this);\n         * }\n         *\n         * Circle.prototype = _.create(Shape.prototype, {\n         *   'constructor': Circle\n         * });\n         *\n         * var circle = new Circle;\n         * circle instanceof Circle;\n         * // => true\n         *\n         * circle instanceof Shape;\n         * // => true\n         */function create(prototype,properties){var result=baseCreate(prototype);return properties==null?result:baseAssign(result,properties);}/**\n         * Assigns own and inherited enumerable string keyed properties of source\n         * objects to the destination object for all destination properties that\n         * resolve to `undefined`. Source objects are applied from left to right.\n         * Once a property is set, additional values of the same property are ignored.\n         *\n         * **Note:** This method mutates `object`.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Object\n         * @param {Object} object The destination object.\n         * @param {...Object} [sources] The source objects.\n         * @returns {Object} Returns `object`.\n         * @see _.defaultsDeep\n         * @example\n         *\n         * _.defaults({ 'a': 1 }, { 'b': 2 }, { 'a': 3 });\n         * // => { 'a': 1, 'b': 2 }\n         */var defaults=baseRest(function(object,sources){object=Object(object);var index=-1;var length=sources.length;var guard=length>2?sources[2]:undefined;if(guard&&isIterateeCall(sources[0],sources[1],guard)){length=1;}while(++index<length){var source=sources[index];var props=keysIn(source);var propsIndex=-1;var propsLength=props.length;while(++propsIndex<propsLength){var key=props[propsIndex];var value=object[key];if(value===undefined||eq(value,objectProto[key])&&!hasOwnProperty.call(object,key)){object[key]=source[key];}}}return object;});/**\n       * This method is like `_.defaults` except that it recursively assigns\n       * default properties.\n       *\n       * **Note:** This method mutates `object`.\n       *\n       * @static\n       * @memberOf _\n       * @since 3.10.0\n       * @category Object\n       * @param {Object} object The destination object.\n       * @param {...Object} [sources] The source objects.\n       * @returns {Object} Returns `object`.\n       * @see _.defaults\n       * @example\n       *\n       * _.defaultsDeep({ 'a': { 'b': 2 } }, { 'a': { 'b': 1, 'c': 3 } });\n       * // => { 'a': { 'b': 2, 'c': 3 } }\n       */var defaultsDeep=baseRest(function(args){args.push(undefined,customDefaultsMerge);return apply(mergeWith,undefined,args);});/**\n       * This method is like `_.find` except that it returns the key of the first\n       * element `predicate` returns truthy for instead of the element itself.\n       *\n       * @static\n       * @memberOf _\n       * @since 1.1.0\n       * @category Object\n       * @param {Object} object The object to inspect.\n       * @param {Function} [predicate=_.identity] The function invoked per iteration.\n       * @returns {string|undefined} Returns the key of the matched element,\n       *  else `undefined`.\n       * @example\n       *\n       * var users = {\n       *   'barney':  { 'age': 36, 'active': true },\n       *   'fred':    { 'age': 40, 'active': false },\n       *   'pebbles': { 'age': 1,  'active': true }\n       * };\n       *\n       * _.findKey(users, function(o) { return o.age < 40; });\n       * // => 'barney' (iteration order is not guaranteed)\n       *\n       * // The `_.matches` iteratee shorthand.\n       * _.findKey(users, { 'age': 1, 'active': true });\n       * // => 'pebbles'\n       *\n       * // The `_.matchesProperty` iteratee shorthand.\n       * _.findKey(users, ['active', false]);\n       * // => 'fred'\n       *\n       * // The `_.property` iteratee shorthand.\n       * _.findKey(users, 'active');\n       * // => 'barney'\n       */function findKey(object,predicate){return baseFindKey(object,getIteratee(predicate,3),baseForOwn);}/**\n         * This method is like `_.findKey` except that it iterates over elements of\n         * a collection in the opposite order.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.0.0\n         * @category Object\n         * @param {Object} object The object to inspect.\n         * @param {Function} [predicate=_.identity] The function invoked per iteration.\n         * @returns {string|undefined} Returns the key of the matched element,\n         *  else `undefined`.\n         * @example\n         *\n         * var users = {\n         *   'barney':  { 'age': 36, 'active': true },\n         *   'fred':    { 'age': 40, 'active': false },\n         *   'pebbles': { 'age': 1,  'active': true }\n         * };\n         *\n         * _.findLastKey(users, function(o) { return o.age < 40; });\n         * // => returns 'pebbles' assuming `_.findKey` returns 'barney'\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.findLastKey(users, { 'age': 36, 'active': true });\n         * // => 'barney'\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.findLastKey(users, ['active', false]);\n         * // => 'fred'\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.findLastKey(users, 'active');\n         * // => 'pebbles'\n         */function findLastKey(object,predicate){return baseFindKey(object,getIteratee(predicate,3),baseForOwnRight);}/**\n         * Iterates over own and inherited enumerable string keyed properties of an\n         * object and invokes `iteratee` for each property. The iteratee is invoked\n         * with three arguments: (value, key, object). Iteratee functions may exit\n         * iteration early by explicitly returning `false`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.3.0\n         * @category Object\n         * @param {Object} object The object to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Object} Returns `object`.\n         * @see _.forInRight\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.forIn(new Foo, function(value, key) {\n         *   console.log(key);\n         * });\n         * // => Logs 'a', 'b', then 'c' (iteration order is not guaranteed).\n         */function forIn(object,iteratee){return object==null?object:baseFor(object,getIteratee(iteratee,3),keysIn);}/**\n         * This method is like `_.forIn` except that it iterates over properties of\n         * `object` in the opposite order.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.0.0\n         * @category Object\n         * @param {Object} object The object to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Object} Returns `object`.\n         * @see _.forIn\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.forInRight(new Foo, function(value, key) {\n         *   console.log(key);\n         * });\n         * // => Logs 'c', 'b', then 'a' assuming `_.forIn` logs 'a', 'b', then 'c'.\n         */function forInRight(object,iteratee){return object==null?object:baseForRight(object,getIteratee(iteratee,3),keysIn);}/**\n         * Iterates over own enumerable string keyed properties of an object and\n         * invokes `iteratee` for each property. The iteratee is invoked with three\n         * arguments: (value, key, object). Iteratee functions may exit iteration\n         * early by explicitly returning `false`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.3.0\n         * @category Object\n         * @param {Object} object The object to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Object} Returns `object`.\n         * @see _.forOwnRight\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.forOwn(new Foo, function(value, key) {\n         *   console.log(key);\n         * });\n         * // => Logs 'a' then 'b' (iteration order is not guaranteed).\n         */function forOwn(object,iteratee){return object&&baseForOwn(object,getIteratee(iteratee,3));}/**\n         * This method is like `_.forOwn` except that it iterates over properties of\n         * `object` in the opposite order.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.0.0\n         * @category Object\n         * @param {Object} object The object to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Object} Returns `object`.\n         * @see _.forOwn\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.forOwnRight(new Foo, function(value, key) {\n         *   console.log(key);\n         * });\n         * // => Logs 'b' then 'a' assuming `_.forOwn` logs 'a' then 'b'.\n         */function forOwnRight(object,iteratee){return object&&baseForOwnRight(object,getIteratee(iteratee,3));}/**\n         * Creates an array of function property names from own enumerable properties\n         * of `object`.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Object\n         * @param {Object} object The object to inspect.\n         * @returns {Array} Returns the function names.\n         * @see _.functionsIn\n         * @example\n         *\n         * function Foo() {\n         *   this.a = _.constant('a');\n         *   this.b = _.constant('b');\n         * }\n         *\n         * Foo.prototype.c = _.constant('c');\n         *\n         * _.functions(new Foo);\n         * // => ['a', 'b']\n         */function functions(object){return object==null?[]:baseFunctions(object,keys(object));}/**\n         * Creates an array of function property names from own and inherited\n         * enumerable properties of `object`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Object\n         * @param {Object} object The object to inspect.\n         * @returns {Array} Returns the function names.\n         * @see _.functions\n         * @example\n         *\n         * function Foo() {\n         *   this.a = _.constant('a');\n         *   this.b = _.constant('b');\n         * }\n         *\n         * Foo.prototype.c = _.constant('c');\n         *\n         * _.functionsIn(new Foo);\n         * // => ['a', 'b', 'c']\n         */function functionsIn(object){return object==null?[]:baseFunctions(object,keysIn(object));}/**\n         * Gets the value at `path` of `object`. If the resolved value is\n         * `undefined`, the `defaultValue` is returned in its place.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.7.0\n         * @category Object\n         * @param {Object} object The object to query.\n         * @param {Array|string} path The path of the property to get.\n         * @param {*} [defaultValue] The value returned for `undefined` resolved values.\n         * @returns {*} Returns the resolved value.\n         * @example\n         *\n         * var object = { 'a': [{ 'b': { 'c': 3 } }] };\n         *\n         * _.get(object, 'a[0].b.c');\n         * // => 3\n         *\n         * _.get(object, ['a', '0', 'b', 'c']);\n         * // => 3\n         *\n         * _.get(object, 'a.b.c', 'default');\n         * // => 'default'\n         */function get(object,path,defaultValue){var result=object==null?undefined:baseGet(object,path);return result===undefined?defaultValue:result;}/**\n         * Checks if `path` is a direct property of `object`.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Object\n         * @param {Object} object The object to query.\n         * @param {Array|string} path The path to check.\n         * @returns {boolean} Returns `true` if `path` exists, else `false`.\n         * @example\n         *\n         * var object = { 'a': { 'b': 2 } };\n         * var other = _.create({ 'a': _.create({ 'b': 2 }) });\n         *\n         * _.has(object, 'a');\n         * // => true\n         *\n         * _.has(object, 'a.b');\n         * // => true\n         *\n         * _.has(object, ['a', 'b']);\n         * // => true\n         *\n         * _.has(other, 'a');\n         * // => false\n         */function has(object,path){return object!=null&&hasPath(object,path,baseHas);}/**\n         * Checks if `path` is a direct or inherited property of `object`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Object\n         * @param {Object} object The object to query.\n         * @param {Array|string} path The path to check.\n         * @returns {boolean} Returns `true` if `path` exists, else `false`.\n         * @example\n         *\n         * var object = _.create({ 'a': _.create({ 'b': 2 }) });\n         *\n         * _.hasIn(object, 'a');\n         * // => true\n         *\n         * _.hasIn(object, 'a.b');\n         * // => true\n         *\n         * _.hasIn(object, ['a', 'b']);\n         * // => true\n         *\n         * _.hasIn(object, 'b');\n         * // => false\n         */function hasIn(object,path){return object!=null&&hasPath(object,path,baseHasIn);}/**\n         * Creates an object composed of the inverted keys and values of `object`.\n         * If `object` contains duplicate values, subsequent values overwrite\n         * property assignments of previous values.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.7.0\n         * @category Object\n         * @param {Object} object The object to invert.\n         * @returns {Object} Returns the new inverted object.\n         * @example\n         *\n         * var object = { 'a': 1, 'b': 2, 'c': 1 };\n         *\n         * _.invert(object);\n         * // => { '1': 'c', '2': 'b' }\n         */var invert=createInverter(function(result,value,key){if(value!=null&&typeof value.toString!=='function'){value=nativeObjectToString.call(value);}result[value]=key;},constant(identity));/**\n       * This method is like `_.invert` except that the inverted object is generated\n       * from the results of running each element of `object` thru `iteratee`. The\n       * corresponding inverted value of each inverted key is an array of keys\n       * responsible for generating the inverted value. The iteratee is invoked\n       * with one argument: (value).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.1.0\n       * @category Object\n       * @param {Object} object The object to invert.\n       * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n       * @returns {Object} Returns the new inverted object.\n       * @example\n       *\n       * var object = { 'a': 1, 'b': 2, 'c': 1 };\n       *\n       * _.invertBy(object);\n       * // => { '1': ['a', 'c'], '2': ['b'] }\n       *\n       * _.invertBy(object, function(value) {\n       *   return 'group' + value;\n       * });\n       * // => { 'group1': ['a', 'c'], 'group2': ['b'] }\n       */var invertBy=createInverter(function(result,value,key){if(value!=null&&typeof value.toString!=='function'){value=nativeObjectToString.call(value);}if(hasOwnProperty.call(result,value)){result[value].push(key);}else{result[value]=[key];}},getIteratee);/**\n       * Invokes the method at `path` of `object`.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Object\n       * @param {Object} object The object to query.\n       * @param {Array|string} path The path of the method to invoke.\n       * @param {...*} [args] The arguments to invoke the method with.\n       * @returns {*} Returns the result of the invoked method.\n       * @example\n       *\n       * var object = { 'a': [{ 'b': { 'c': [1, 2, 3, 4] } }] };\n       *\n       * _.invoke(object, 'a[0].b.c.slice', 1, 3);\n       * // => [2, 3]\n       */var invoke=baseRest(baseInvoke);/**\n         * Creates an array of the own enumerable property names of `object`.\n         *\n         * **Note:** Non-object values are coerced to objects. See the\n         * [ES spec](http://ecma-international.org/ecma-262/7.0/#sec-object.keys)\n         * for more details.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Object\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of property names.\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.keys(new Foo);\n         * // => ['a', 'b'] (iteration order is not guaranteed)\n         *\n         * _.keys('hi');\n         * // => ['0', '1']\n         */function keys(object){return isArrayLike(object)?arrayLikeKeys(object):baseKeys(object);}/**\n         * Creates an array of the own and inherited enumerable property names of `object`.\n         *\n         * **Note:** Non-object values are coerced to objects.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Object\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of property names.\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.keysIn(new Foo);\n         * // => ['a', 'b', 'c'] (iteration order is not guaranteed)\n         */function keysIn(object){return isArrayLike(object)?arrayLikeKeys(object,true):baseKeysIn(object);}/**\n         * The opposite of `_.mapValues`; this method creates an object with the\n         * same values as `object` and keys generated by running each own enumerable\n         * string keyed property of `object` thru `iteratee`. The iteratee is invoked\n         * with three arguments: (value, key, object).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.8.0\n         * @category Object\n         * @param {Object} object The object to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Object} Returns the new mapped object.\n         * @see _.mapValues\n         * @example\n         *\n         * _.mapKeys({ 'a': 1, 'b': 2 }, function(value, key) {\n         *   return key + value;\n         * });\n         * // => { 'a1': 1, 'b2': 2 }\n         */function mapKeys(object,iteratee){var result={};iteratee=getIteratee(iteratee,3);baseForOwn(object,function(value,key,object){baseAssignValue(result,iteratee(value,key,object),value);});return result;}/**\n         * Creates an object with the same keys as `object` and values generated\n         * by running each own enumerable string keyed property of `object` thru\n         * `iteratee`. The iteratee is invoked with three arguments:\n         * (value, key, object).\n         *\n         * @static\n         * @memberOf _\n         * @since 2.4.0\n         * @category Object\n         * @param {Object} object The object to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Object} Returns the new mapped object.\n         * @see _.mapKeys\n         * @example\n         *\n         * var users = {\n         *   'fred':    { 'user': 'fred',    'age': 40 },\n         *   'pebbles': { 'user': 'pebbles', 'age': 1 }\n         * };\n         *\n         * _.mapValues(users, function(o) { return o.age; });\n         * // => { 'fred': 40, 'pebbles': 1 } (iteration order is not guaranteed)\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.mapValues(users, 'age');\n         * // => { 'fred': 40, 'pebbles': 1 } (iteration order is not guaranteed)\n         */function mapValues(object,iteratee){var result={};iteratee=getIteratee(iteratee,3);baseForOwn(object,function(value,key,object){baseAssignValue(result,key,iteratee(value,key,object));});return result;}/**\n         * This method is like `_.assign` except that it recursively merges own and\n         * inherited enumerable string keyed properties of source objects into the\n         * destination object. Source properties that resolve to `undefined` are\n         * skipped if a destination value exists. Array and plain object properties\n         * are merged recursively. Other objects and value types are overridden by\n         * assignment. Source objects are applied from left to right. Subsequent\n         * sources overwrite property assignments of previous sources.\n         *\n         * **Note:** This method mutates `object`.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.5.0\n         * @category Object\n         * @param {Object} object The destination object.\n         * @param {...Object} [sources] The source objects.\n         * @returns {Object} Returns `object`.\n         * @example\n         *\n         * var object = {\n         *   'a': [{ 'b': 2 }, { 'd': 4 }]\n         * };\n         *\n         * var other = {\n         *   'a': [{ 'c': 3 }, { 'e': 5 }]\n         * };\n         *\n         * _.merge(object, other);\n         * // => { 'a': [{ 'b': 2, 'c': 3 }, { 'd': 4, 'e': 5 }] }\n         */var merge=createAssigner(function(object,source,srcIndex){baseMerge(object,source,srcIndex);});/**\n       * This method is like `_.merge` except that it accepts `customizer` which\n       * is invoked to produce the merged values of the destination and source\n       * properties. If `customizer` returns `undefined`, merging is handled by the\n       * method instead. The `customizer` is invoked with six arguments:\n       * (objValue, srcValue, key, object, source, stack).\n       *\n       * **Note:** This method mutates `object`.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Object\n       * @param {Object} object The destination object.\n       * @param {...Object} sources The source objects.\n       * @param {Function} customizer The function to customize assigned values.\n       * @returns {Object} Returns `object`.\n       * @example\n       *\n       * function customizer(objValue, srcValue) {\n       *   if (_.isArray(objValue)) {\n       *     return objValue.concat(srcValue);\n       *   }\n       * }\n       *\n       * var object = { 'a': [1], 'b': [2] };\n       * var other = { 'a': [3], 'b': [4] };\n       *\n       * _.mergeWith(object, other, customizer);\n       * // => { 'a': [1, 3], 'b': [2, 4] }\n       */var mergeWith=createAssigner(function(object,source,srcIndex,customizer){baseMerge(object,source,srcIndex,customizer);});/**\n       * The opposite of `_.pick`; this method creates an object composed of the\n       * own and inherited enumerable property paths of `object` that are not omitted.\n       *\n       * **Note:** This method is considerably slower than `_.pick`.\n       *\n       * @static\n       * @since 0.1.0\n       * @memberOf _\n       * @category Object\n       * @param {Object} object The source object.\n       * @param {...(string|string[])} [paths] The property paths to omit.\n       * @returns {Object} Returns the new object.\n       * @example\n       *\n       * var object = { 'a': 1, 'b': '2', 'c': 3 };\n       *\n       * _.omit(object, ['a', 'c']);\n       * // => { 'b': '2' }\n       */var omit=flatRest(function(object,paths){var result={};if(object==null){return result;}var isDeep=false;paths=arrayMap(paths,function(path){path=castPath(path,object);isDeep||(isDeep=path.length>1);return path;});copyObject(object,getAllKeysIn(object),result);if(isDeep){result=baseClone(result,CLONE_DEEP_FLAG|CLONE_FLAT_FLAG|CLONE_SYMBOLS_FLAG,customOmitClone);}var length=paths.length;while(length--){baseUnset(result,paths[length]);}return result;});/**\n       * The opposite of `_.pickBy`; this method creates an object composed of\n       * the own and inherited enumerable string keyed properties of `object` that\n       * `predicate` doesn't return truthy for. The predicate is invoked with two\n       * arguments: (value, key).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Object\n       * @param {Object} object The source object.\n       * @param {Function} [predicate=_.identity] The function invoked per property.\n       * @returns {Object} Returns the new object.\n       * @example\n       *\n       * var object = { 'a': 1, 'b': '2', 'c': 3 };\n       *\n       * _.omitBy(object, _.isNumber);\n       * // => { 'b': '2' }\n       */function omitBy(object,predicate){return pickBy(object,negate(getIteratee(predicate)));}/**\n         * Creates an object composed of the picked `object` properties.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Object\n         * @param {Object} object The source object.\n         * @param {...(string|string[])} [paths] The property paths to pick.\n         * @returns {Object} Returns the new object.\n         * @example\n         *\n         * var object = { 'a': 1, 'b': '2', 'c': 3 };\n         *\n         * _.pick(object, ['a', 'c']);\n         * // => { 'a': 1, 'c': 3 }\n         */var pick=flatRest(function(object,paths){return object==null?{}:basePick(object,paths);});/**\n       * Creates an object composed of the `object` properties `predicate` returns\n       * truthy for. The predicate is invoked with two arguments: (value, key).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Object\n       * @param {Object} object The source object.\n       * @param {Function} [predicate=_.identity] The function invoked per property.\n       * @returns {Object} Returns the new object.\n       * @example\n       *\n       * var object = { 'a': 1, 'b': '2', 'c': 3 };\n       *\n       * _.pickBy(object, _.isNumber);\n       * // => { 'a': 1, 'c': 3 }\n       */function pickBy(object,predicate){if(object==null){return{};}var props=arrayMap(getAllKeysIn(object),function(prop){return[prop];});predicate=getIteratee(predicate);return basePickBy(object,props,function(value,path){return predicate(value,path[0]);});}/**\n         * This method is like `_.get` except that if the resolved value is a\n         * function it's invoked with the `this` binding of its parent object and\n         * its result is returned.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Object\n         * @param {Object} object The object to query.\n         * @param {Array|string} path The path of the property to resolve.\n         * @param {*} [defaultValue] The value returned for `undefined` resolved values.\n         * @returns {*} Returns the resolved value.\n         * @example\n         *\n         * var object = { 'a': [{ 'b': { 'c1': 3, 'c2': _.constant(4) } }] };\n         *\n         * _.result(object, 'a[0].b.c1');\n         * // => 3\n         *\n         * _.result(object, 'a[0].b.c2');\n         * // => 4\n         *\n         * _.result(object, 'a[0].b.c3', 'default');\n         * // => 'default'\n         *\n         * _.result(object, 'a[0].b.c3', _.constant('default'));\n         * // => 'default'\n         */function result(object,path,defaultValue){path=castPath(path,object);var index=-1,length=path.length;// Ensure the loop is entered when path is empty.\nif(!length){length=1;object=undefined;}while(++index<length){var value=object==null?undefined:object[toKey(path[index])];if(value===undefined){index=length;value=defaultValue;}object=isFunction(value)?value.call(object):value;}return object;}/**\n         * Sets the value at `path` of `object`. If a portion of `path` doesn't exist,\n         * it's created. Arrays are created for missing index properties while objects\n         * are created for all other missing properties. Use `_.setWith` to customize\n         * `path` creation.\n         *\n         * **Note:** This method mutates `object`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.7.0\n         * @category Object\n         * @param {Object} object The object to modify.\n         * @param {Array|string} path The path of the property to set.\n         * @param {*} value The value to set.\n         * @returns {Object} Returns `object`.\n         * @example\n         *\n         * var object = { 'a': [{ 'b': { 'c': 3 } }] };\n         *\n         * _.set(object, 'a[0].b.c', 4);\n         * console.log(object.a[0].b.c);\n         * // => 4\n         *\n         * _.set(object, ['x', '0', 'y', 'z'], 5);\n         * console.log(object.x[0].y.z);\n         * // => 5\n         */function set(object,path,value){return object==null?object:baseSet(object,path,value);}/**\n         * This method is like `_.set` except that it accepts `customizer` which is\n         * invoked to produce the objects of `path`.  If `customizer` returns `undefined`\n         * path creation is handled by the method instead. The `customizer` is invoked\n         * with three arguments: (nsValue, key, nsObject).\n         *\n         * **Note:** This method mutates `object`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Object\n         * @param {Object} object The object to modify.\n         * @param {Array|string} path The path of the property to set.\n         * @param {*} value The value to set.\n         * @param {Function} [customizer] The function to customize assigned values.\n         * @returns {Object} Returns `object`.\n         * @example\n         *\n         * var object = {};\n         *\n         * _.setWith(object, '[0][1]', 'a', Object);\n         * // => { '0': { '1': 'a' } }\n         */function setWith(object,path,value,customizer){customizer=typeof customizer==='function'?customizer:undefined;return object==null?object:baseSet(object,path,value,customizer);}/**\n         * Creates an array of own enumerable string keyed-value pairs for `object`\n         * which can be consumed by `_.fromPairs`. If `object` is a map or set, its\n         * entries are returned.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @alias entries\n         * @category Object\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the key-value pairs.\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.toPairs(new Foo);\n         * // => [['a', 1], ['b', 2]] (iteration order is not guaranteed)\n         */var toPairs=createToPairs(keys);/**\n         * Creates an array of own and inherited enumerable string keyed-value pairs\n         * for `object` which can be consumed by `_.fromPairs`. If `object` is a map\n         * or set, its entries are returned.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @alias entriesIn\n         * @category Object\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the key-value pairs.\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.toPairsIn(new Foo);\n         * // => [['a', 1], ['b', 2], ['c', 3]] (iteration order is not guaranteed)\n         */var toPairsIn=createToPairs(keysIn);/**\n         * An alternative to `_.reduce`; this method transforms `object` to a new\n         * `accumulator` object which is the result of running each of its own\n         * enumerable string keyed properties thru `iteratee`, with each invocation\n         * potentially mutating the `accumulator` object. If `accumulator` is not\n         * provided, a new object with the same `[[Prototype]]` will be used. The\n         * iteratee is invoked with four arguments: (accumulator, value, key, object).\n         * Iteratee functions may exit iteration early by explicitly returning `false`.\n         *\n         * @static\n         * @memberOf _\n         * @since 1.3.0\n         * @category Object\n         * @param {Object} object The object to iterate over.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @param {*} [accumulator] The custom accumulator value.\n         * @returns {*} Returns the accumulated value.\n         * @example\n         *\n         * _.transform([2, 3, 4], function(result, n) {\n         *   result.push(n *= n);\n         *   return n % 2 == 0;\n         * }, []);\n         * // => [4, 9]\n         *\n         * _.transform({ 'a': 1, 'b': 2, 'c': 1 }, function(result, value, key) {\n         *   (result[value] || (result[value] = [])).push(key);\n         * }, {});\n         * // => { '1': ['a', 'c'], '2': ['b'] }\n         */function transform(object,iteratee,accumulator){var isArr=isArray(object),isArrLike=isArr||isBuffer(object)||isTypedArray(object);iteratee=getIteratee(iteratee,4);if(accumulator==null){var Ctor=object&&object.constructor;if(isArrLike){accumulator=isArr?new Ctor():[];}else if(isObject(object)){accumulator=isFunction(Ctor)?baseCreate(getPrototype(object)):{};}else{accumulator={};}}(isArrLike?arrayEach:baseForOwn)(object,function(value,index,object){return iteratee(accumulator,value,index,object);});return accumulator;}/**\n         * Removes the property at `path` of `object`.\n         *\n         * **Note:** This method mutates `object`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Object\n         * @param {Object} object The object to modify.\n         * @param {Array|string} path The path of the property to unset.\n         * @returns {boolean} Returns `true` if the property is deleted, else `false`.\n         * @example\n         *\n         * var object = { 'a': [{ 'b': { 'c': 7 } }] };\n         * _.unset(object, 'a[0].b.c');\n         * // => true\n         *\n         * console.log(object);\n         * // => { 'a': [{ 'b': {} }] };\n         *\n         * _.unset(object, ['a', '0', 'b', 'c']);\n         * // => true\n         *\n         * console.log(object);\n         * // => { 'a': [{ 'b': {} }] };\n         */function unset(object,path){return object==null?true:baseUnset(object,path);}/**\n         * This method is like `_.set` except that accepts `updater` to produce the\n         * value to set. Use `_.updateWith` to customize `path` creation. The `updater`\n         * is invoked with one argument: (value).\n         *\n         * **Note:** This method mutates `object`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.6.0\n         * @category Object\n         * @param {Object} object The object to modify.\n         * @param {Array|string} path The path of the property to set.\n         * @param {Function} updater The function to produce the updated value.\n         * @returns {Object} Returns `object`.\n         * @example\n         *\n         * var object = { 'a': [{ 'b': { 'c': 3 } }] };\n         *\n         * _.update(object, 'a[0].b.c', function(n) { return n * n; });\n         * console.log(object.a[0].b.c);\n         * // => 9\n         *\n         * _.update(object, 'x[0].y.z', function(n) { return n ? n + 1 : 0; });\n         * console.log(object.x[0].y.z);\n         * // => 0\n         */function update(object,path,updater){return object==null?object:baseUpdate(object,path,castFunction(updater));}/**\n         * This method is like `_.update` except that it accepts `customizer` which is\n         * invoked to produce the objects of `path`.  If `customizer` returns `undefined`\n         * path creation is handled by the method instead. The `customizer` is invoked\n         * with three arguments: (nsValue, key, nsObject).\n         *\n         * **Note:** This method mutates `object`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.6.0\n         * @category Object\n         * @param {Object} object The object to modify.\n         * @param {Array|string} path The path of the property to set.\n         * @param {Function} updater The function to produce the updated value.\n         * @param {Function} [customizer] The function to customize assigned values.\n         * @returns {Object} Returns `object`.\n         * @example\n         *\n         * var object = {};\n         *\n         * _.updateWith(object, '[0][1]', _.constant('a'), Object);\n         * // => { '0': { '1': 'a' } }\n         */function updateWith(object,path,updater,customizer){customizer=typeof customizer==='function'?customizer:undefined;return object==null?object:baseUpdate(object,path,castFunction(updater),customizer);}/**\n         * Creates an array of the own enumerable string keyed property values of `object`.\n         *\n         * **Note:** Non-object values are coerced to objects.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Object\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of property values.\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.values(new Foo);\n         * // => [1, 2] (iteration order is not guaranteed)\n         *\n         * _.values('hi');\n         * // => ['h', 'i']\n         */function values(object){return object==null?[]:baseValues(object,keys(object));}/**\n         * Creates an array of the own and inherited enumerable string keyed property\n         * values of `object`.\n         *\n         * **Note:** Non-object values are coerced to objects.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Object\n         * @param {Object} object The object to query.\n         * @returns {Array} Returns the array of property values.\n         * @example\n         *\n         * function Foo() {\n         *   this.a = 1;\n         *   this.b = 2;\n         * }\n         *\n         * Foo.prototype.c = 3;\n         *\n         * _.valuesIn(new Foo);\n         * // => [1, 2, 3] (iteration order is not guaranteed)\n         */function valuesIn(object){return object==null?[]:baseValues(object,keysIn(object));}/* ------------------------------------------------------------------------*/ /**\n         * Clamps `number` within the inclusive `lower` and `upper` bounds.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Number\n         * @param {number} number The number to clamp.\n         * @param {number} [lower] The lower bound.\n         * @param {number} upper The upper bound.\n         * @returns {number} Returns the clamped number.\n         * @example\n         *\n         * _.clamp(-10, -5, 5);\n         * // => -5\n         *\n         * _.clamp(10, -5, 5);\n         * // => 5\n         */function clamp(number,lower,upper){if(upper===undefined){upper=lower;lower=undefined;}if(upper!==undefined){upper=toNumber(upper);upper=upper===upper?upper:0;}if(lower!==undefined){lower=toNumber(lower);lower=lower===lower?lower:0;}return baseClamp(toNumber(number),lower,upper);}/**\n         * Checks if `n` is between `start` and up to, but not including, `end`. If\n         * `end` is not specified, it's set to `start` with `start` then set to `0`.\n         * If `start` is greater than `end` the params are swapped to support\n         * negative ranges.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.3.0\n         * @category Number\n         * @param {number} number The number to check.\n         * @param {number} [start=0] The start of the range.\n         * @param {number} end The end of the range.\n         * @returns {boolean} Returns `true` if `number` is in the range, else `false`.\n         * @see _.range, _.rangeRight\n         * @example\n         *\n         * _.inRange(3, 2, 4);\n         * // => true\n         *\n         * _.inRange(4, 8);\n         * // => true\n         *\n         * _.inRange(4, 2);\n         * // => false\n         *\n         * _.inRange(2, 2);\n         * // => false\n         *\n         * _.inRange(1.2, 2);\n         * // => true\n         *\n         * _.inRange(5.2, 4);\n         * // => false\n         *\n         * _.inRange(-3, -2, -6);\n         * // => true\n         */function inRange(number,start,end){start=toFinite(start);if(end===undefined){end=start;start=0;}else{end=toFinite(end);}number=toNumber(number);return baseInRange(number,start,end);}/**\n         * Produces a random number between the inclusive `lower` and `upper` bounds.\n         * If only one argument is provided a number between `0` and the given number\n         * is returned. If `floating` is `true`, or either `lower` or `upper` are\n         * floats, a floating-point number is returned instead of an integer.\n         *\n         * **Note:** JavaScript follows the IEEE-754 standard for resolving\n         * floating-point values which can produce unexpected results.\n         *\n         * @static\n         * @memberOf _\n         * @since 0.7.0\n         * @category Number\n         * @param {number} [lower=0] The lower bound.\n         * @param {number} [upper=1] The upper bound.\n         * @param {boolean} [floating] Specify returning a floating-point number.\n         * @returns {number} Returns the random number.\n         * @example\n         *\n         * _.random(0, 5);\n         * // => an integer between 0 and 5\n         *\n         * _.random(5);\n         * // => also an integer between 0 and 5\n         *\n         * _.random(5, true);\n         * // => a floating-point number between 0 and 5\n         *\n         * _.random(1.2, 5.2);\n         * // => a floating-point number between 1.2 and 5.2\n         */function random(lower,upper,floating){if(floating&&typeof floating!=='boolean'&&isIterateeCall(lower,upper,floating)){upper=floating=undefined;}if(floating===undefined){if(typeof upper==='boolean'){floating=upper;upper=undefined;}else if(typeof lower==='boolean'){floating=lower;lower=undefined;}}if(lower===undefined&&upper===undefined){lower=0;upper=1;}else{lower=toFinite(lower);if(upper===undefined){upper=lower;lower=0;}else{upper=toFinite(upper);}}if(lower>upper){var temp=lower;lower=upper;upper=temp;}if(floating||lower%1||upper%1){var rand=nativeRandom();return nativeMin(lower+rand*(upper-lower+freeParseFloat('1e-'+((rand+'').length-1))),upper);}return baseRandom(lower,upper);}/* ------------------------------------------------------------------------*/ /**\n         * Converts `string` to [camel case](https://en.wikipedia.org/wiki/CamelCase).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to convert.\n         * @returns {string} Returns the camel cased string.\n         * @example\n         *\n         * _.camelCase('Foo Bar');\n         * // => 'fooBar'\n         *\n         * _.camelCase('--foo-bar--');\n         * // => 'fooBar'\n         *\n         * _.camelCase('__FOO_BAR__');\n         * // => 'fooBar'\n         */var camelCase=createCompounder(function(result,word,index){word=word.toLowerCase();return result+(index?capitalize(word):word);});/**\n       * Converts the first character of `string` to upper case and the remaining\n       * to lower case.\n       *\n       * @static\n       * @memberOf _\n       * @since 3.0.0\n       * @category String\n       * @param {string} [string=''] The string to capitalize.\n       * @returns {string} Returns the capitalized string.\n       * @example\n       *\n       * _.capitalize('FRED');\n       * // => 'Fred'\n       */function capitalize(string){return upperFirst(toString(string).toLowerCase());}/**\n         * Deburrs `string` by converting\n         * [Latin-1 Supplement](https://en.wikipedia.org/wiki/Latin-1_Supplement_(Unicode_block)#Character_table)\n         * and [Latin Extended-A](https://en.wikipedia.org/wiki/Latin_Extended-A)\n         * letters to basic Latin letters and removing\n         * [combining diacritical marks](https://en.wikipedia.org/wiki/Combining_Diacritical_Marks).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to deburr.\n         * @returns {string} Returns the deburred string.\n         * @example\n         *\n         * _.deburr('déjà vu');\n         * // => 'deja vu'\n         */function deburr(string){string=toString(string);return string&&string.replace(reLatin,deburrLetter).replace(reComboMark,'');}/**\n         * Checks if `string` ends with the given target string.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to inspect.\n         * @param {string} [target] The string to search for.\n         * @param {number} [position=string.length] The position to search up to.\n         * @returns {boolean} Returns `true` if `string` ends with `target`,\n         *  else `false`.\n         * @example\n         *\n         * _.endsWith('abc', 'c');\n         * // => true\n         *\n         * _.endsWith('abc', 'b');\n         * // => false\n         *\n         * _.endsWith('abc', 'b', 2);\n         * // => true\n         */function endsWith(string,target,position){string=toString(string);target=baseToString(target);var length=string.length;position=position===undefined?length:baseClamp(toInteger(position),0,length);var end=position;position-=target.length;return position>=0&&string.slice(position,end)==target;}/**\n         * Converts the characters \"&\", \"<\", \">\", '\"', and \"'\" in `string` to their\n         * corresponding HTML entities.\n         *\n         * **Note:** No other characters are escaped. To escape additional\n         * characters use a third-party library like [_he_](https://mths.be/he).\n         *\n         * Though the \">\" character is escaped for symmetry, characters like\n         * \">\" and \"/\" don't need escaping in HTML and have no special meaning\n         * unless they're part of a tag or unquoted attribute value. See\n         * [Mathias Bynens's article](https://mathiasbynens.be/notes/ambiguous-ampersands)\n         * (under \"semi-related fun fact\") for more details.\n         *\n         * When working with HTML you should always\n         * [quote attribute values](http://wonko.com/post/html-escaping) to reduce\n         * XSS vectors.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category String\n         * @param {string} [string=''] The string to escape.\n         * @returns {string} Returns the escaped string.\n         * @example\n         *\n         * _.escape('fred, barney, & pebbles');\n         * // => 'fred, barney, &amp; pebbles'\n         */function escape(string){string=toString(string);return string&&reHasUnescapedHtml.test(string)?string.replace(reUnescapedHtml,escapeHtmlChar):string;}/**\n         * Escapes the `RegExp` special characters \"^\", \"$\", \"\\\", \".\", \"*\", \"+\",\n         * \"?\", \"(\", \")\", \"[\", \"]\", \"{\", \"}\", and \"|\" in `string`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to escape.\n         * @returns {string} Returns the escaped string.\n         * @example\n         *\n         * _.escapeRegExp('[lodash](https://lodash.com/)');\n         * // => '\\[lodash\\]\\(https://lodash\\.com/\\)'\n         */function escapeRegExp(string){string=toString(string);return string&&reHasRegExpChar.test(string)?string.replace(reRegExpChar,'\\\\$&'):string;}/**\n         * Converts `string` to\n         * [kebab case](https://en.wikipedia.org/wiki/Letter_case#Special_case_styles).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to convert.\n         * @returns {string} Returns the kebab cased string.\n         * @example\n         *\n         * _.kebabCase('Foo Bar');\n         * // => 'foo-bar'\n         *\n         * _.kebabCase('fooBar');\n         * // => 'foo-bar'\n         *\n         * _.kebabCase('__FOO_BAR__');\n         * // => 'foo-bar'\n         */var kebabCase=createCompounder(function(result,word,index){return result+(index?'-':'')+word.toLowerCase();});/**\n       * Converts `string`, as space separated words, to lower case.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category String\n       * @param {string} [string=''] The string to convert.\n       * @returns {string} Returns the lower cased string.\n       * @example\n       *\n       * _.lowerCase('--Foo-Bar--');\n       * // => 'foo bar'\n       *\n       * _.lowerCase('fooBar');\n       * // => 'foo bar'\n       *\n       * _.lowerCase('__FOO_BAR__');\n       * // => 'foo bar'\n       */var lowerCase=createCompounder(function(result,word,index){return result+(index?' ':'')+word.toLowerCase();});/**\n       * Converts the first character of `string` to lower case.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category String\n       * @param {string} [string=''] The string to convert.\n       * @returns {string} Returns the converted string.\n       * @example\n       *\n       * _.lowerFirst('Fred');\n       * // => 'fred'\n       *\n       * _.lowerFirst('FRED');\n       * // => 'fRED'\n       */var lowerFirst=createCaseFirst('toLowerCase');/**\n         * Pads `string` on the left and right sides if it's shorter than `length`.\n         * Padding characters are truncated if they can't be evenly divided by `length`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to pad.\n         * @param {number} [length=0] The padding length.\n         * @param {string} [chars=' '] The string used as padding.\n         * @returns {string} Returns the padded string.\n         * @example\n         *\n         * _.pad('abc', 8);\n         * // => '  abc   '\n         *\n         * _.pad('abc', 8, '_-');\n         * // => '_-abc_-_'\n         *\n         * _.pad('abc', 3);\n         * // => 'abc'\n         */function pad(string,length,chars){string=toString(string);length=toInteger(length);var strLength=length?stringSize(string):0;if(!length||strLength>=length){return string;}var mid=(length-strLength)/2;return createPadding(nativeFloor(mid),chars)+string+createPadding(nativeCeil(mid),chars);}/**\n         * Pads `string` on the right side if it's shorter than `length`. Padding\n         * characters are truncated if they exceed `length`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category String\n         * @param {string} [string=''] The string to pad.\n         * @param {number} [length=0] The padding length.\n         * @param {string} [chars=' '] The string used as padding.\n         * @returns {string} Returns the padded string.\n         * @example\n         *\n         * _.padEnd('abc', 6);\n         * // => 'abc   '\n         *\n         * _.padEnd('abc', 6, '_-');\n         * // => 'abc_-_'\n         *\n         * _.padEnd('abc', 3);\n         * // => 'abc'\n         */function padEnd(string,length,chars){string=toString(string);length=toInteger(length);var strLength=length?stringSize(string):0;return length&&strLength<length?string+createPadding(length-strLength,chars):string;}/**\n         * Pads `string` on the left side if it's shorter than `length`. Padding\n         * characters are truncated if they exceed `length`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category String\n         * @param {string} [string=''] The string to pad.\n         * @param {number} [length=0] The padding length.\n         * @param {string} [chars=' '] The string used as padding.\n         * @returns {string} Returns the padded string.\n         * @example\n         *\n         * _.padStart('abc', 6);\n         * // => '   abc'\n         *\n         * _.padStart('abc', 6, '_-');\n         * // => '_-_abc'\n         *\n         * _.padStart('abc', 3);\n         * // => 'abc'\n         */function padStart(string,length,chars){string=toString(string);length=toInteger(length);var strLength=length?stringSize(string):0;return length&&strLength<length?createPadding(length-strLength,chars)+string:string;}/**\n         * Converts `string` to an integer of the specified radix. If `radix` is\n         * `undefined` or `0`, a `radix` of `10` is used unless `value` is a\n         * hexadecimal, in which case a `radix` of `16` is used.\n         *\n         * **Note:** This method aligns with the\n         * [ES5 implementation](https://es5.github.io/#x15.1.2.2) of `parseInt`.\n         *\n         * @static\n         * @memberOf _\n         * @since 1.1.0\n         * @category String\n         * @param {string} string The string to convert.\n         * @param {number} [radix=10] The radix to interpret `value` by.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {number} Returns the converted integer.\n         * @example\n         *\n         * _.parseInt('08');\n         * // => 8\n         *\n         * _.map(['6', '08', '10'], _.parseInt);\n         * // => [6, 8, 10]\n         */function parseInt(string,radix,guard){if(guard||radix==null){radix=0;}else if(radix){radix=+radix;}return nativeParseInt(toString(string).replace(reTrimStart,''),radix||0);}/**\n         * Repeats the given string `n` times.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to repeat.\n         * @param {number} [n=1] The number of times to repeat the string.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {string} Returns the repeated string.\n         * @example\n         *\n         * _.repeat('*', 3);\n         * // => '***'\n         *\n         * _.repeat('abc', 2);\n         * // => 'abcabc'\n         *\n         * _.repeat('abc', 0);\n         * // => ''\n         */function repeat(string,n,guard){if(guard?isIterateeCall(string,n,guard):n===undefined){n=1;}else{n=toInteger(n);}return baseRepeat(toString(string),n);}/**\n         * Replaces matches for `pattern` in `string` with `replacement`.\n         *\n         * **Note:** This method is based on\n         * [`String#replace`](https://mdn.io/String/replace).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category String\n         * @param {string} [string=''] The string to modify.\n         * @param {RegExp|string} pattern The pattern to replace.\n         * @param {Function|string} replacement The match replacement.\n         * @returns {string} Returns the modified string.\n         * @example\n         *\n         * _.replace('Hi Fred', 'Fred', 'Barney');\n         * // => 'Hi Barney'\n         */function replace(){var args=arguments,string=toString(args[0]);return args.length<3?string:string.replace(args[1],args[2]);}/**\n         * Converts `string` to\n         * [snake case](https://en.wikipedia.org/wiki/Snake_case).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to convert.\n         * @returns {string} Returns the snake cased string.\n         * @example\n         *\n         * _.snakeCase('Foo Bar');\n         * // => 'foo_bar'\n         *\n         * _.snakeCase('fooBar');\n         * // => 'foo_bar'\n         *\n         * _.snakeCase('--FOO-BAR--');\n         * // => 'foo_bar'\n         */var snakeCase=createCompounder(function(result,word,index){return result+(index?'_':'')+word.toLowerCase();});/**\n       * Splits `string` by `separator`.\n       *\n       * **Note:** This method is based on\n       * [`String#split`](https://mdn.io/String/split).\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category String\n       * @param {string} [string=''] The string to split.\n       * @param {RegExp|string} separator The separator pattern to split by.\n       * @param {number} [limit] The length to truncate results to.\n       * @returns {Array} Returns the string segments.\n       * @example\n       *\n       * _.split('a-b-c', '-', 2);\n       * // => ['a', 'b']\n       */function split(string,separator,limit){if(limit&&typeof limit!=='number'&&isIterateeCall(string,separator,limit)){separator=limit=undefined;}limit=limit===undefined?MAX_ARRAY_LENGTH:limit>>>0;if(!limit){return[];}string=toString(string);if(string&&(typeof separator==='string'||separator!=null&&!isRegExp(separator))){separator=baseToString(separator);if(!separator&&hasUnicode(string)){return castSlice(stringToArray(string),0,limit);}}return string.split(separator,limit);}/**\n         * Converts `string` to\n         * [start case](https://en.wikipedia.org/wiki/Letter_case#Stylistic_or_specialised_usage).\n         *\n         * @static\n         * @memberOf _\n         * @since 3.1.0\n         * @category String\n         * @param {string} [string=''] The string to convert.\n         * @returns {string} Returns the start cased string.\n         * @example\n         *\n         * _.startCase('--foo-bar--');\n         * // => 'Foo Bar'\n         *\n         * _.startCase('fooBar');\n         * // => 'Foo Bar'\n         *\n         * _.startCase('__FOO_BAR__');\n         * // => 'FOO BAR'\n         */var startCase=createCompounder(function(result,word,index){return result+(index?' ':'')+upperFirst(word);});/**\n       * Checks if `string` starts with the given target string.\n       *\n       * @static\n       * @memberOf _\n       * @since 3.0.0\n       * @category String\n       * @param {string} [string=''] The string to inspect.\n       * @param {string} [target] The string to search for.\n       * @param {number} [position=0] The position to search from.\n       * @returns {boolean} Returns `true` if `string` starts with `target`,\n       *  else `false`.\n       * @example\n       *\n       * _.startsWith('abc', 'a');\n       * // => true\n       *\n       * _.startsWith('abc', 'b');\n       * // => false\n       *\n       * _.startsWith('abc', 'b', 1);\n       * // => true\n       */function startsWith(string,target,position){string=toString(string);position=position==null?0:baseClamp(toInteger(position),0,string.length);target=baseToString(target);return string.slice(position,position+target.length)==target;}/**\n         * Creates a compiled template function that can interpolate data properties\n         * in \"interpolate\" delimiters, HTML-escape interpolated data properties in\n         * \"escape\" delimiters, and execute JavaScript in \"evaluate\" delimiters. Data\n         * properties may be accessed as free variables in the template. If a setting\n         * object is given, it takes precedence over `_.templateSettings` values.\n         *\n         * **Note:** In the development build `_.template` utilizes\n         * [sourceURLs](http://www.html5rocks.com/en/tutorials/developertools/sourcemaps/#toc-sourceurl)\n         * for easier debugging.\n         *\n         * For more information on precompiling templates see\n         * [lodash's custom builds documentation](https://lodash.com/custom-builds).\n         *\n         * For more information on Chrome extension sandboxes see\n         * [Chrome's extensions documentation](https://developer.chrome.com/extensions/sandboxingEval).\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category String\n         * @param {string} [string=''] The template string.\n         * @param {Object} [options={}] The options object.\n         * @param {RegExp} [options.escape=_.templateSettings.escape]\n         *  The HTML \"escape\" delimiter.\n         * @param {RegExp} [options.evaluate=_.templateSettings.evaluate]\n         *  The \"evaluate\" delimiter.\n         * @param {Object} [options.imports=_.templateSettings.imports]\n         *  An object to import into the template as free variables.\n         * @param {RegExp} [options.interpolate=_.templateSettings.interpolate]\n         *  The \"interpolate\" delimiter.\n         * @param {string} [options.sourceURL='lodash.templateSources[n]']\n         *  The sourceURL of the compiled template.\n         * @param {string} [options.variable='obj']\n         *  The data object variable name.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {Function} Returns the compiled template function.\n         * @example\n         *\n         * // Use the \"interpolate\" delimiter to create a compiled template.\n         * var compiled = _.template('hello <%= user %>!');\n         * compiled({ 'user': 'fred' });\n         * // => 'hello fred!'\n         *\n         * // Use the HTML \"escape\" delimiter to escape data property values.\n         * var compiled = _.template('<b><%- value %></b>');\n         * compiled({ 'value': '<script>' });\n         * // => '<b>&lt;script&gt;</b>'\n         *\n         * // Use the \"evaluate\" delimiter to execute JavaScript and generate HTML.\n         * var compiled = _.template('<% _.forEach(users, function(user) { %><li><%- user %></li><% }); %>');\n         * compiled({ 'users': ['fred', 'barney'] });\n         * // => '<li>fred</li><li>barney</li>'\n         *\n         * // Use the internal `print` function in \"evaluate\" delimiters.\n         * var compiled = _.template('<% print(\"hello \" + user); %>!');\n         * compiled({ 'user': 'barney' });\n         * // => 'hello barney!'\n         *\n         * // Use the ES template literal delimiter as an \"interpolate\" delimiter.\n         * // Disable support by replacing the \"interpolate\" delimiter.\n         * var compiled = _.template('hello ${ user }!');\n         * compiled({ 'user': 'pebbles' });\n         * // => 'hello pebbles!'\n         *\n         * // Use backslashes to treat delimiters as plain text.\n         * var compiled = _.template('<%= \"\\\\<%- value %\\\\>\" %>');\n         * compiled({ 'value': 'ignored' });\n         * // => '<%- value %>'\n         *\n         * // Use the `imports` option to import `jQuery` as `jq`.\n         * var text = '<% jq.each(users, function(user) { %><li><%- user %></li><% }); %>';\n         * var compiled = _.template(text, { 'imports': { 'jq': jQuery } });\n         * compiled({ 'users': ['fred', 'barney'] });\n         * // => '<li>fred</li><li>barney</li>'\n         *\n         * // Use the `sourceURL` option to specify a custom sourceURL for the template.\n         * var compiled = _.template('hello <%= user %>!', { 'sourceURL': '/basic/greeting.jst' });\n         * compiled(data);\n         * // => Find the source of \"greeting.jst\" under the Sources tab or Resources panel of the web inspector.\n         *\n         * // Use the `variable` option to ensure a with-statement isn't used in the compiled template.\n         * var compiled = _.template('hi <%= data.user %>!', { 'variable': 'data' });\n         * compiled.source;\n         * // => function(data) {\n         * //   var __t, __p = '';\n         * //   __p += 'hi ' + ((__t = ( data.user )) == null ? '' : __t) + '!';\n         * //   return __p;\n         * // }\n         *\n         * // Use custom template delimiters.\n         * _.templateSettings.interpolate = /{{([\\s\\S]+?)}}/g;\n         * var compiled = _.template('hello {{ user }}!');\n         * compiled({ 'user': 'mustache' });\n         * // => 'hello mustache!'\n         *\n         * // Use the `source` property to inline compiled templates for meaningful\n         * // line numbers in error messages and stack traces.\n         * fs.writeFileSync(path.join(process.cwd(), 'jst.js'), '\\\n         *   var JST = {\\\n         *     \"main\": ' + _.template(mainText).source + '\\\n         *   };\\\n         * ');\n         */function template(string,options,guard){// Based on John Resig's `tmpl` implementation\n// (http://ejohn.org/blog/javascript-micro-templating/)\n// and Laura Doktorova's doT.js (https://github.com/olado/doT).\nvar settings=lodash.templateSettings;if(guard&&isIterateeCall(string,options,guard)){options=undefined;}string=toString(string);options=assignInWith({},options,settings,customDefaultsAssignIn);var imports=assignInWith({},options.imports,settings.imports,customDefaultsAssignIn),importsKeys=keys(imports),importsValues=baseValues(imports,importsKeys);var isEscaping,isEvaluating,index=0,interpolate=options.interpolate||reNoMatch,source=\"__p += '\";// Compile the regexp to match each delimiter.\nvar reDelimiters=RegExp((options.escape||reNoMatch).source+'|'+interpolate.source+'|'+(interpolate===reInterpolate?reEsTemplate:reNoMatch).source+'|'+(options.evaluate||reNoMatch).source+'|$','g');// Use a sourceURL for easier debugging.\nvar sourceURL='//# sourceURL='+('sourceURL'in options?options.sourceURL:'lodash.templateSources['+ ++templateCounter+']')+'\\n';string.replace(reDelimiters,function(match,escapeValue,interpolateValue,esTemplateValue,evaluateValue,offset){interpolateValue||(interpolateValue=esTemplateValue);// Escape characters that can't be included in string literals.\nsource+=string.slice(index,offset).replace(reUnescapedString,escapeStringChar);// Replace delimiters with snippets.\nif(escapeValue){isEscaping=true;source+=\"' +\\n__e(\"+escapeValue+\") +\\n'\";}if(evaluateValue){isEvaluating=true;source+=\"';\\n\"+evaluateValue+\";\\n__p += '\";}if(interpolateValue){source+=\"' +\\n((__t = (\"+interpolateValue+\")) == null ? '' : __t) +\\n'\";}index=offset+match.length;// The JS engine embedded in Adobe products needs `match` returned in\n// order to produce the correct `offset` value.\nreturn match;});source+=\"';\\n\";// If `variable` is not specified wrap a with-statement around the generated\n// code to add the data object to the top of the scope chain.\nvar variable=options.variable;if(!variable){source='with (obj) {\\n'+source+'\\n}\\n';}// Cleanup code by stripping empty strings.\nsource=(isEvaluating?source.replace(reEmptyStringLeading,''):source).replace(reEmptyStringMiddle,'$1').replace(reEmptyStringTrailing,'$1;');// Frame code as the function body.\nsource='function('+(variable||'obj')+') {\\n'+(variable?'':'obj || (obj = {});\\n')+\"var __t, __p = ''\"+(isEscaping?', __e = _.escape':'')+(isEvaluating?', __j = Array.prototype.join;\\n'+\"function print() { __p += __j.call(arguments, '') }\\n\":';\\n')+source+'return __p\\n}';var result=attempt(function(){return Function(importsKeys,sourceURL+'return '+source).apply(undefined,importsValues);});// Provide the compiled function's source by its `toString` method or\n// the `source` property as a convenience for inlining compiled templates.\nresult.source=source;if(isError(result)){throw result;}return result;}/**\n         * Converts `string`, as a whole, to lower case just like\n         * [String#toLowerCase](https://mdn.io/toLowerCase).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category String\n         * @param {string} [string=''] The string to convert.\n         * @returns {string} Returns the lower cased string.\n         * @example\n         *\n         * _.toLower('--Foo-Bar--');\n         * // => '--foo-bar--'\n         *\n         * _.toLower('fooBar');\n         * // => 'foobar'\n         *\n         * _.toLower('__FOO_BAR__');\n         * // => '__foo_bar__'\n         */function toLower(value){return toString(value).toLowerCase();}/**\n         * Converts `string`, as a whole, to upper case just like\n         * [String#toUpperCase](https://mdn.io/toUpperCase).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category String\n         * @param {string} [string=''] The string to convert.\n         * @returns {string} Returns the upper cased string.\n         * @example\n         *\n         * _.toUpper('--foo-bar--');\n         * // => '--FOO-BAR--'\n         *\n         * _.toUpper('fooBar');\n         * // => 'FOOBAR'\n         *\n         * _.toUpper('__foo_bar__');\n         * // => '__FOO_BAR__'\n         */function toUpper(value){return toString(value).toUpperCase();}/**\n         * Removes leading and trailing whitespace or specified characters from `string`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to trim.\n         * @param {string} [chars=whitespace] The characters to trim.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {string} Returns the trimmed string.\n         * @example\n         *\n         * _.trim('  abc  ');\n         * // => 'abc'\n         *\n         * _.trim('-_-abc-_-', '_-');\n         * // => 'abc'\n         *\n         * _.map(['  foo  ', '  bar  '], _.trim);\n         * // => ['foo', 'bar']\n         */function trim(string,chars,guard){string=toString(string);if(string&&(guard||chars===undefined)){return string.replace(reTrim,'');}if(!string||!(chars=baseToString(chars))){return string;}var strSymbols=stringToArray(string),chrSymbols=stringToArray(chars),start=charsStartIndex(strSymbols,chrSymbols),end=charsEndIndex(strSymbols,chrSymbols)+1;return castSlice(strSymbols,start,end).join('');}/**\n         * Removes trailing whitespace or specified characters from `string`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category String\n         * @param {string} [string=''] The string to trim.\n         * @param {string} [chars=whitespace] The characters to trim.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {string} Returns the trimmed string.\n         * @example\n         *\n         * _.trimEnd('  abc  ');\n         * // => '  abc'\n         *\n         * _.trimEnd('-_-abc-_-', '_-');\n         * // => '-_-abc'\n         */function trimEnd(string,chars,guard){string=toString(string);if(string&&(guard||chars===undefined)){return string.replace(reTrimEnd,'');}if(!string||!(chars=baseToString(chars))){return string;}var strSymbols=stringToArray(string),end=charsEndIndex(strSymbols,stringToArray(chars))+1;return castSlice(strSymbols,0,end).join('');}/**\n         * Removes leading whitespace or specified characters from `string`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category String\n         * @param {string} [string=''] The string to trim.\n         * @param {string} [chars=whitespace] The characters to trim.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {string} Returns the trimmed string.\n         * @example\n         *\n         * _.trimStart('  abc  ');\n         * // => 'abc  '\n         *\n         * _.trimStart('-_-abc-_-', '_-');\n         * // => 'abc-_-'\n         */function trimStart(string,chars,guard){string=toString(string);if(string&&(guard||chars===undefined)){return string.replace(reTrimStart,'');}if(!string||!(chars=baseToString(chars))){return string;}var strSymbols=stringToArray(string),start=charsStartIndex(strSymbols,stringToArray(chars));return castSlice(strSymbols,start).join('');}/**\n         * Truncates `string` if it's longer than the given maximum string length.\n         * The last characters of the truncated string are replaced with the omission\n         * string which defaults to \"...\".\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category String\n         * @param {string} [string=''] The string to truncate.\n         * @param {Object} [options={}] The options object.\n         * @param {number} [options.length=30] The maximum string length.\n         * @param {string} [options.omission='...'] The string to indicate text is omitted.\n         * @param {RegExp|string} [options.separator] The separator pattern to truncate to.\n         * @returns {string} Returns the truncated string.\n         * @example\n         *\n         * _.truncate('hi-diddly-ho there, neighborino');\n         * // => 'hi-diddly-ho there, neighbo...'\n         *\n         * _.truncate('hi-diddly-ho there, neighborino', {\n         *   'length': 24,\n         *   'separator': ' '\n         * });\n         * // => 'hi-diddly-ho there,...'\n         *\n         * _.truncate('hi-diddly-ho there, neighborino', {\n         *   'length': 24,\n         *   'separator': /,? +/\n         * });\n         * // => 'hi-diddly-ho there...'\n         *\n         * _.truncate('hi-diddly-ho there, neighborino', {\n         *   'omission': ' [...]'\n         * });\n         * // => 'hi-diddly-ho there, neig [...]'\n         */function truncate(string,options){var length=DEFAULT_TRUNC_LENGTH,omission=DEFAULT_TRUNC_OMISSION;if(isObject(options)){var separator='separator'in options?options.separator:separator;length='length'in options?toInteger(options.length):length;omission='omission'in options?baseToString(options.omission):omission;}string=toString(string);var strLength=string.length;if(hasUnicode(string)){var strSymbols=stringToArray(string);strLength=strSymbols.length;}if(length>=strLength){return string;}var end=length-stringSize(omission);if(end<1){return omission;}var result=strSymbols?castSlice(strSymbols,0,end).join(''):string.slice(0,end);if(separator===undefined){return result+omission;}if(strSymbols){end+=result.length-end;}if(isRegExp(separator)){if(string.slice(end).search(separator)){var match,substring=result;if(!separator.global){separator=RegExp(separator.source,toString(reFlags.exec(separator))+'g');}separator.lastIndex=0;while(match=separator.exec(substring)){var newEnd=match.index;}result=result.slice(0,newEnd===undefined?end:newEnd);}}else if(string.indexOf(baseToString(separator),end)!=end){var index=result.lastIndexOf(separator);if(index>-1){result=result.slice(0,index);}}return result+omission;}/**\n         * The inverse of `_.escape`; this method converts the HTML entities\n         * `&amp;`, `&lt;`, `&gt;`, `&quot;`, and `&#39;` in `string` to\n         * their corresponding characters.\n         *\n         * **Note:** No other HTML entities are unescaped. To unescape additional\n         * HTML entities use a third-party library like [_he_](https://mths.be/he).\n         *\n         * @static\n         * @memberOf _\n         * @since 0.6.0\n         * @category String\n         * @param {string} [string=''] The string to unescape.\n         * @returns {string} Returns the unescaped string.\n         * @example\n         *\n         * _.unescape('fred, barney, &amp; pebbles');\n         * // => 'fred, barney, & pebbles'\n         */function unescape(string){string=toString(string);return string&&reHasEscapedHtml.test(string)?string.replace(reEscapedHtml,unescapeHtmlChar):string;}/**\n         * Converts `string`, as space separated words, to upper case.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category String\n         * @param {string} [string=''] The string to convert.\n         * @returns {string} Returns the upper cased string.\n         * @example\n         *\n         * _.upperCase('--foo-bar');\n         * // => 'FOO BAR'\n         *\n         * _.upperCase('fooBar');\n         * // => 'FOO BAR'\n         *\n         * _.upperCase('__foo_bar__');\n         * // => 'FOO BAR'\n         */var upperCase=createCompounder(function(result,word,index){return result+(index?' ':'')+word.toUpperCase();});/**\n       * Converts the first character of `string` to upper case.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category String\n       * @param {string} [string=''] The string to convert.\n       * @returns {string} Returns the converted string.\n       * @example\n       *\n       * _.upperFirst('fred');\n       * // => 'Fred'\n       *\n       * _.upperFirst('FRED');\n       * // => 'FRED'\n       */var upperFirst=createCaseFirst('toUpperCase');/**\n         * Splits `string` into an array of its words.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category String\n         * @param {string} [string=''] The string to inspect.\n         * @param {RegExp|string} [pattern] The pattern to match words.\n         * @param- {Object} [guard] Enables use as an iteratee for methods like `_.map`.\n         * @returns {Array} Returns the words of `string`.\n         * @example\n         *\n         * _.words('fred, barney, & pebbles');\n         * // => ['fred', 'barney', 'pebbles']\n         *\n         * _.words('fred, barney, & pebbles', /[^, ]+/g);\n         * // => ['fred', 'barney', '&', 'pebbles']\n         */function words(string,pattern,guard){string=toString(string);pattern=guard?undefined:pattern;if(pattern===undefined){return hasUnicodeWord(string)?unicodeWords(string):asciiWords(string);}return string.match(pattern)||[];}/* ------------------------------------------------------------------------*/ /**\n         * Attempts to invoke `func`, returning either the result or the caught error\n         * object. Any additional arguments are provided to `func` when it's invoked.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Util\n         * @param {Function} func The function to attempt.\n         * @param {...*} [args] The arguments to invoke `func` with.\n         * @returns {*} Returns the `func` result or error object.\n         * @example\n         *\n         * // Avoid throwing errors for invalid selectors.\n         * var elements = _.attempt(function(selector) {\n         *   return document.querySelectorAll(selector);\n         * }, '>_>');\n         *\n         * if (_.isError(elements)) {\n         *   elements = [];\n         * }\n         */var attempt=baseRest(function(func,args){try{return apply(func,undefined,args);}catch(e){return isError(e)?e:new Error(e);}});/**\n       * Binds methods of an object to the object itself, overwriting the existing\n       * method.\n       *\n       * **Note:** This method doesn't set the \"length\" property of bound functions.\n       *\n       * @static\n       * @since 0.1.0\n       * @memberOf _\n       * @category Util\n       * @param {Object} object The object to bind and assign the bound methods to.\n       * @param {...(string|string[])} methodNames The object method names to bind.\n       * @returns {Object} Returns `object`.\n       * @example\n       *\n       * var view = {\n       *   'label': 'docs',\n       *   'click': function() {\n       *     console.log('clicked ' + this.label);\n       *   }\n       * };\n       *\n       * _.bindAll(view, ['click']);\n       * jQuery(element).on('click', view.click);\n       * // => Logs 'clicked docs' when clicked.\n       */var bindAll=flatRest(function(object,methodNames){arrayEach(methodNames,function(key){key=toKey(key);baseAssignValue(object,key,bind(object[key],object));});return object;});/**\n       * Creates a function that iterates over `pairs` and invokes the corresponding\n       * function of the first predicate to return truthy. The predicate-function\n       * pairs are invoked with the `this` binding and arguments of the created\n       * function.\n       *\n       * @static\n       * @memberOf _\n       * @since 4.0.0\n       * @category Util\n       * @param {Array} pairs The predicate-function pairs.\n       * @returns {Function} Returns the new composite function.\n       * @example\n       *\n       * var func = _.cond([\n       *   [_.matches({ 'a': 1 }),           _.constant('matches A')],\n       *   [_.conforms({ 'b': _.isNumber }), _.constant('matches B')],\n       *   [_.stubTrue,                      _.constant('no match')]\n       * ]);\n       *\n       * func({ 'a': 1, 'b': 2 });\n       * // => 'matches A'\n       *\n       * func({ 'a': 0, 'b': 1 });\n       * // => 'matches B'\n       *\n       * func({ 'a': '1', 'b': '2' });\n       * // => 'no match'\n       */function cond(pairs){var length=pairs==null?0:pairs.length,toIteratee=getIteratee();pairs=!length?[]:arrayMap(pairs,function(pair){if(typeof pair[1]!=='function'){throw new TypeError(FUNC_ERROR_TEXT);}return[toIteratee(pair[0]),pair[1]];});return baseRest(function(args){var index=-1;while(++index<length){var pair=pairs[index];if(apply(pair[0],this,args)){return apply(pair[1],this,args);}}});}/**\n         * Creates a function that invokes the predicate properties of `source` with\n         * the corresponding property values of a given object, returning `true` if\n         * all predicates return truthy, else `false`.\n         *\n         * **Note:** The created function is equivalent to `_.conformsTo` with\n         * `source` partially applied.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Util\n         * @param {Object} source The object of property predicates to conform to.\n         * @returns {Function} Returns the new spec function.\n         * @example\n         *\n         * var objects = [\n         *   { 'a': 2, 'b': 1 },\n         *   { 'a': 1, 'b': 2 }\n         * ];\n         *\n         * _.filter(objects, _.conforms({ 'b': function(n) { return n > 1; } }));\n         * // => [{ 'a': 1, 'b': 2 }]\n         */function conforms(source){return baseConforms(baseClone(source,CLONE_DEEP_FLAG));}/**\n         * Creates a function that returns `value`.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.4.0\n         * @category Util\n         * @param {*} value The value to return from the new function.\n         * @returns {Function} Returns the new constant function.\n         * @example\n         *\n         * var objects = _.times(2, _.constant({ 'a': 1 }));\n         *\n         * console.log(objects);\n         * // => [{ 'a': 1 }, { 'a': 1 }]\n         *\n         * console.log(objects[0] === objects[1]);\n         * // => true\n         */function constant(value){return function(){return value;};}/**\n         * Checks `value` to determine whether a default value should be returned in\n         * its place. The `defaultValue` is returned if `value` is `NaN`, `null`,\n         * or `undefined`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.14.0\n         * @category Util\n         * @param {*} value The value to check.\n         * @param {*} defaultValue The default value.\n         * @returns {*} Returns the resolved value.\n         * @example\n         *\n         * _.defaultTo(1, 10);\n         * // => 1\n         *\n         * _.defaultTo(undefined, 10);\n         * // => 10\n         */function defaultTo(value,defaultValue){return value==null||value!==value?defaultValue:value;}/**\n         * Creates a function that returns the result of invoking the given functions\n         * with the `this` binding of the created function, where each successive\n         * invocation is supplied the return value of the previous.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Util\n         * @param {...(Function|Function[])} [funcs] The functions to invoke.\n         * @returns {Function} Returns the new composite function.\n         * @see _.flowRight\n         * @example\n         *\n         * function square(n) {\n         *   return n * n;\n         * }\n         *\n         * var addSquare = _.flow([_.add, square]);\n         * addSquare(1, 2);\n         * // => 9\n         */var flow=createFlow();/**\n         * This method is like `_.flow` except that it creates a function that\n         * invokes the given functions from right to left.\n         *\n         * @static\n         * @since 3.0.0\n         * @memberOf _\n         * @category Util\n         * @param {...(Function|Function[])} [funcs] The functions to invoke.\n         * @returns {Function} Returns the new composite function.\n         * @see _.flow\n         * @example\n         *\n         * function square(n) {\n         *   return n * n;\n         * }\n         *\n         * var addSquare = _.flowRight([square, _.add]);\n         * addSquare(1, 2);\n         * // => 9\n         */var flowRight=createFlow(true);/**\n         * This method returns the first argument it receives.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Util\n         * @param {*} value Any value.\n         * @returns {*} Returns `value`.\n         * @example\n         *\n         * var object = { 'a': 1 };\n         *\n         * console.log(_.identity(object) === object);\n         * // => true\n         */function identity(value){return value;}/**\n         * Creates a function that invokes `func` with the arguments of the created\n         * function. If `func` is a property name, the created function returns the\n         * property value for a given element. If `func` is an array or object, the\n         * created function returns `true` for elements that contain the equivalent\n         * source properties, otherwise it returns `false`.\n         *\n         * @static\n         * @since 4.0.0\n         * @memberOf _\n         * @category Util\n         * @param {*} [func=_.identity] The value to convert to a callback.\n         * @returns {Function} Returns the callback.\n         * @example\n         *\n         * var users = [\n         *   { 'user': 'barney', 'age': 36, 'active': true },\n         *   { 'user': 'fred',   'age': 40, 'active': false }\n         * ];\n         *\n         * // The `_.matches` iteratee shorthand.\n         * _.filter(users, _.iteratee({ 'user': 'barney', 'active': true }));\n         * // => [{ 'user': 'barney', 'age': 36, 'active': true }]\n         *\n         * // The `_.matchesProperty` iteratee shorthand.\n         * _.filter(users, _.iteratee(['user', 'fred']));\n         * // => [{ 'user': 'fred', 'age': 40 }]\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.map(users, _.iteratee('user'));\n         * // => ['barney', 'fred']\n         *\n         * // Create custom iteratee shorthands.\n         * _.iteratee = _.wrap(_.iteratee, function(iteratee, func) {\n         *   return !_.isRegExp(func) ? iteratee(func) : function(string) {\n         *     return func.test(string);\n         *   };\n         * });\n         *\n         * _.filter(['abc', 'def'], /ef/);\n         * // => ['def']\n         */function iteratee(func){return baseIteratee(typeof func==='function'?func:baseClone(func,CLONE_DEEP_FLAG));}/**\n         * Creates a function that performs a partial deep comparison between a given\n         * object and `source`, returning `true` if the given object has equivalent\n         * property values, else `false`.\n         *\n         * **Note:** The created function is equivalent to `_.isMatch` with `source`\n         * partially applied.\n         *\n         * Partial comparisons will match empty array and empty object `source`\n         * values against any array or object value, respectively. See `_.isEqual`\n         * for a list of supported value comparisons.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Util\n         * @param {Object} source The object of property values to match.\n         * @returns {Function} Returns the new spec function.\n         * @example\n         *\n         * var objects = [\n         *   { 'a': 1, 'b': 2, 'c': 3 },\n         *   { 'a': 4, 'b': 5, 'c': 6 }\n         * ];\n         *\n         * _.filter(objects, _.matches({ 'a': 4, 'c': 6 }));\n         * // => [{ 'a': 4, 'b': 5, 'c': 6 }]\n         */function matches(source){return baseMatches(baseClone(source,CLONE_DEEP_FLAG));}/**\n         * Creates a function that performs a partial deep comparison between the\n         * value at `path` of a given object to `srcValue`, returning `true` if the\n         * object value is equivalent, else `false`.\n         *\n         * **Note:** Partial comparisons will match empty array and empty object\n         * `srcValue` values against any array or object value, respectively. See\n         * `_.isEqual` for a list of supported value comparisons.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.2.0\n         * @category Util\n         * @param {Array|string} path The path of the property to get.\n         * @param {*} srcValue The value to match.\n         * @returns {Function} Returns the new spec function.\n         * @example\n         *\n         * var objects = [\n         *   { 'a': 1, 'b': 2, 'c': 3 },\n         *   { 'a': 4, 'b': 5, 'c': 6 }\n         * ];\n         *\n         * _.find(objects, _.matchesProperty('a', 4));\n         * // => { 'a': 4, 'b': 5, 'c': 6 }\n         */function matchesProperty(path,srcValue){return baseMatchesProperty(path,baseClone(srcValue,CLONE_DEEP_FLAG));}/**\n         * Creates a function that invokes the method at `path` of a given object.\n         * Any additional arguments are provided to the invoked method.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.7.0\n         * @category Util\n         * @param {Array|string} path The path of the method to invoke.\n         * @param {...*} [args] The arguments to invoke the method with.\n         * @returns {Function} Returns the new invoker function.\n         * @example\n         *\n         * var objects = [\n         *   { 'a': { 'b': _.constant(2) } },\n         *   { 'a': { 'b': _.constant(1) } }\n         * ];\n         *\n         * _.map(objects, _.method('a.b'));\n         * // => [2, 1]\n         *\n         * _.map(objects, _.method(['a', 'b']));\n         * // => [2, 1]\n         */var method=baseRest(function(path,args){return function(object){return baseInvoke(object,path,args);};});/**\n       * The opposite of `_.method`; this method creates a function that invokes\n       * the method at a given path of `object`. Any additional arguments are\n       * provided to the invoked method.\n       *\n       * @static\n       * @memberOf _\n       * @since 3.7.0\n       * @category Util\n       * @param {Object} object The object to query.\n       * @param {...*} [args] The arguments to invoke the method with.\n       * @returns {Function} Returns the new invoker function.\n       * @example\n       *\n       * var array = _.times(3, _.constant),\n       *     object = { 'a': array, 'b': array, 'c': array };\n       *\n       * _.map(['a[2]', 'c[0]'], _.methodOf(object));\n       * // => [2, 0]\n       *\n       * _.map([['a', '2'], ['c', '0']], _.methodOf(object));\n       * // => [2, 0]\n       */var methodOf=baseRest(function(object,args){return function(path){return baseInvoke(object,path,args);};});/**\n       * Adds all own enumerable string keyed function properties of a source\n       * object to the destination object. If `object` is a function, then methods\n       * are added to its prototype as well.\n       *\n       * **Note:** Use `_.runInContext` to create a pristine `lodash` function to\n       * avoid conflicts caused by modifying the original.\n       *\n       * @static\n       * @since 0.1.0\n       * @memberOf _\n       * @category Util\n       * @param {Function|Object} [object=lodash] The destination object.\n       * @param {Object} source The object of functions to add.\n       * @param {Object} [options={}] The options object.\n       * @param {boolean} [options.chain=true] Specify whether mixins are chainable.\n       * @returns {Function|Object} Returns `object`.\n       * @example\n       *\n       * function vowels(string) {\n       *   return _.filter(string, function(v) {\n       *     return /[aeiou]/i.test(v);\n       *   });\n       * }\n       *\n       * _.mixin({ 'vowels': vowels });\n       * _.vowels('fred');\n       * // => ['e']\n       *\n       * _('fred').vowels().value();\n       * // => ['e']\n       *\n       * _.mixin({ 'vowels': vowels }, { 'chain': false });\n       * _('fred').vowels();\n       * // => ['e']\n       */function mixin(object,source,options){var props=keys(source),methodNames=baseFunctions(source,props);if(options==null&&!(isObject(source)&&(methodNames.length||!props.length))){options=source;source=object;object=this;methodNames=baseFunctions(source,keys(source));}var chain=!(isObject(options)&&'chain'in options)||!!options.chain,isFunc=isFunction(object);arrayEach(methodNames,function(methodName){var func=source[methodName];object[methodName]=func;if(isFunc){object.prototype[methodName]=function(){var chainAll=this.__chain__;if(chain||chainAll){var result=object(this.__wrapped__),actions=result.__actions__=copyArray(this.__actions__);actions.push({func:func,args:arguments,thisArg:object});result.__chain__=chainAll;return result;}return func.apply(object,arrayPush([this.value()],arguments));};}});return object;}/**\n         * Reverts the `_` variable to its previous value and returns a reference to\n         * the `lodash` function.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Util\n         * @returns {Function} Returns the `lodash` function.\n         * @example\n         *\n         * var lodash = _.noConflict();\n         */function noConflict(){if(root._===this){root._=oldDash;}return this;}/**\n         * This method returns `undefined`.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.3.0\n         * @category Util\n         * @example\n         *\n         * _.times(2, _.noop);\n         * // => [undefined, undefined]\n         */function noop(){}// No operation performed.\n/**\n         * Creates a function that gets the argument at index `n`. If `n` is negative,\n         * the nth argument from the end is returned.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Util\n         * @param {number} [n=0] The index of the argument to return.\n         * @returns {Function} Returns the new pass-thru function.\n         * @example\n         *\n         * var func = _.nthArg(1);\n         * func('a', 'b', 'c', 'd');\n         * // => 'b'\n         *\n         * var func = _.nthArg(-2);\n         * func('a', 'b', 'c', 'd');\n         * // => 'c'\n         */function nthArg(n){n=toInteger(n);return baseRest(function(args){return baseNth(args,n);});}/**\n         * Creates a function that invokes `iteratees` with the arguments it receives\n         * and returns their results.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Util\n         * @param {...(Function|Function[])} [iteratees=[_.identity]]\n         *  The iteratees to invoke.\n         * @returns {Function} Returns the new function.\n         * @example\n         *\n         * var func = _.over([Math.max, Math.min]);\n         *\n         * func(1, 2, 3, 4);\n         * // => [4, 1]\n         */var over=createOver(arrayMap);/**\n         * Creates a function that checks if **all** of the `predicates` return\n         * truthy when invoked with the arguments it receives.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Util\n         * @param {...(Function|Function[])} [predicates=[_.identity]]\n         *  The predicates to check.\n         * @returns {Function} Returns the new function.\n         * @example\n         *\n         * var func = _.overEvery([Boolean, isFinite]);\n         *\n         * func('1');\n         * // => true\n         *\n         * func(null);\n         * // => false\n         *\n         * func(NaN);\n         * // => false\n         */var overEvery=createOver(arrayEvery);/**\n         * Creates a function that checks if **any** of the `predicates` return\n         * truthy when invoked with the arguments it receives.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Util\n         * @param {...(Function|Function[])} [predicates=[_.identity]]\n         *  The predicates to check.\n         * @returns {Function} Returns the new function.\n         * @example\n         *\n         * var func = _.overSome([Boolean, isFinite]);\n         *\n         * func('1');\n         * // => true\n         *\n         * func(null);\n         * // => true\n         *\n         * func(NaN);\n         * // => false\n         */var overSome=createOver(arraySome);/**\n         * Creates a function that returns the value at `path` of a given object.\n         *\n         * @static\n         * @memberOf _\n         * @since 2.4.0\n         * @category Util\n         * @param {Array|string} path The path of the property to get.\n         * @returns {Function} Returns the new accessor function.\n         * @example\n         *\n         * var objects = [\n         *   { 'a': { 'b': 2 } },\n         *   { 'a': { 'b': 1 } }\n         * ];\n         *\n         * _.map(objects, _.property('a.b'));\n         * // => [2, 1]\n         *\n         * _.map(_.sortBy(objects, _.property(['a', 'b'])), 'a.b');\n         * // => [1, 2]\n         */function property(path){return isKey(path)?baseProperty(toKey(path)):basePropertyDeep(path);}/**\n         * The opposite of `_.property`; this method creates a function that returns\n         * the value at a given path of `object`.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.0.0\n         * @category Util\n         * @param {Object} object The object to query.\n         * @returns {Function} Returns the new accessor function.\n         * @example\n         *\n         * var array = [0, 1, 2],\n         *     object = { 'a': array, 'b': array, 'c': array };\n         *\n         * _.map(['a[2]', 'c[0]'], _.propertyOf(object));\n         * // => [2, 0]\n         *\n         * _.map([['a', '2'], ['c', '0']], _.propertyOf(object));\n         * // => [2, 0]\n         */function propertyOf(object){return function(path){return object==null?undefined:baseGet(object,path);};}/**\n         * Creates an array of numbers (positive and/or negative) progressing from\n         * `start` up to, but not including, `end`. A step of `-1` is used if a negative\n         * `start` is specified without an `end` or `step`. If `end` is not specified,\n         * it's set to `start` with `start` then set to `0`.\n         *\n         * **Note:** JavaScript follows the IEEE-754 standard for resolving\n         * floating-point values which can produce unexpected results.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Util\n         * @param {number} [start=0] The start of the range.\n         * @param {number} end The end of the range.\n         * @param {number} [step=1] The value to increment or decrement by.\n         * @returns {Array} Returns the range of numbers.\n         * @see _.inRange, _.rangeRight\n         * @example\n         *\n         * _.range(4);\n         * // => [0, 1, 2, 3]\n         *\n         * _.range(-4);\n         * // => [0, -1, -2, -3]\n         *\n         * _.range(1, 5);\n         * // => [1, 2, 3, 4]\n         *\n         * _.range(0, 20, 5);\n         * // => [0, 5, 10, 15]\n         *\n         * _.range(0, -4, -1);\n         * // => [0, -1, -2, -3]\n         *\n         * _.range(1, 4, 0);\n         * // => [1, 1, 1]\n         *\n         * _.range(0);\n         * // => []\n         */var range=createRange();/**\n         * This method is like `_.range` except that it populates values in\n         * descending order.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Util\n         * @param {number} [start=0] The start of the range.\n         * @param {number} end The end of the range.\n         * @param {number} [step=1] The value to increment or decrement by.\n         * @returns {Array} Returns the range of numbers.\n         * @see _.inRange, _.range\n         * @example\n         *\n         * _.rangeRight(4);\n         * // => [3, 2, 1, 0]\n         *\n         * _.rangeRight(-4);\n         * // => [-3, -2, -1, 0]\n         *\n         * _.rangeRight(1, 5);\n         * // => [4, 3, 2, 1]\n         *\n         * _.rangeRight(0, 20, 5);\n         * // => [15, 10, 5, 0]\n         *\n         * _.rangeRight(0, -4, -1);\n         * // => [-3, -2, -1, 0]\n         *\n         * _.rangeRight(1, 4, 0);\n         * // => [1, 1, 1]\n         *\n         * _.rangeRight(0);\n         * // => []\n         */var rangeRight=createRange(true);/**\n         * This method returns a new empty array.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.13.0\n         * @category Util\n         * @returns {Array} Returns the new empty array.\n         * @example\n         *\n         * var arrays = _.times(2, _.stubArray);\n         *\n         * console.log(arrays);\n         * // => [[], []]\n         *\n         * console.log(arrays[0] === arrays[1]);\n         * // => false\n         */function stubArray(){return[];}/**\n         * This method returns `false`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.13.0\n         * @category Util\n         * @returns {boolean} Returns `false`.\n         * @example\n         *\n         * _.times(2, _.stubFalse);\n         * // => [false, false]\n         */function stubFalse(){return false;}/**\n         * This method returns a new empty object.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.13.0\n         * @category Util\n         * @returns {Object} Returns the new empty object.\n         * @example\n         *\n         * var objects = _.times(2, _.stubObject);\n         *\n         * console.log(objects);\n         * // => [{}, {}]\n         *\n         * console.log(objects[0] === objects[1]);\n         * // => false\n         */function stubObject(){return{};}/**\n         * This method returns an empty string.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.13.0\n         * @category Util\n         * @returns {string} Returns the empty string.\n         * @example\n         *\n         * _.times(2, _.stubString);\n         * // => ['', '']\n         */function stubString(){return'';}/**\n         * This method returns `true`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.13.0\n         * @category Util\n         * @returns {boolean} Returns `true`.\n         * @example\n         *\n         * _.times(2, _.stubTrue);\n         * // => [true, true]\n         */function stubTrue(){return true;}/**\n         * Invokes the iteratee `n` times, returning an array of the results of\n         * each invocation. The iteratee is invoked with one argument; (index).\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Util\n         * @param {number} n The number of times to invoke `iteratee`.\n         * @param {Function} [iteratee=_.identity] The function invoked per iteration.\n         * @returns {Array} Returns the array of results.\n         * @example\n         *\n         * _.times(3, String);\n         * // => ['0', '1', '2']\n         *\n         *  _.times(4, _.constant(0));\n         * // => [0, 0, 0, 0]\n         */function times(n,iteratee){n=toInteger(n);if(n<1||n>MAX_SAFE_INTEGER){return[];}var index=MAX_ARRAY_LENGTH,length=nativeMin(n,MAX_ARRAY_LENGTH);iteratee=getIteratee(iteratee);n-=MAX_ARRAY_LENGTH;var result=baseTimes(length,iteratee);while(++index<n){iteratee(index);}return result;}/**\n         * Converts `value` to a property path array.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Util\n         * @param {*} value The value to convert.\n         * @returns {Array} Returns the new property path array.\n         * @example\n         *\n         * _.toPath('a.b.c');\n         * // => ['a', 'b', 'c']\n         *\n         * _.toPath('a[0].b.c');\n         * // => ['a', '0', 'b', 'c']\n         */function toPath(value){if(isArray(value)){return arrayMap(value,toKey);}return isSymbol(value)?[value]:copyArray(stringToPath(toString(value)));}/**\n         * Generates a unique ID. If `prefix` is given, the ID is appended to it.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Util\n         * @param {string} [prefix=''] The value to prefix the ID with.\n         * @returns {string} Returns the unique ID.\n         * @example\n         *\n         * _.uniqueId('contact_');\n         * // => 'contact_104'\n         *\n         * _.uniqueId();\n         * // => '105'\n         */function uniqueId(prefix){var id=++idCounter;return toString(prefix)+id;}/* ------------------------------------------------------------------------*/ /**\n         * Adds two numbers.\n         *\n         * @static\n         * @memberOf _\n         * @since 3.4.0\n         * @category Math\n         * @param {number} augend The first number in an addition.\n         * @param {number} addend The second number in an addition.\n         * @returns {number} Returns the total.\n         * @example\n         *\n         * _.add(6, 4);\n         * // => 10\n         */var add=createMathOperation(function(augend,addend){return augend+addend;},0);/**\n       * Computes `number` rounded up to `precision`.\n       *\n       * @static\n       * @memberOf _\n       * @since 3.10.0\n       * @category Math\n       * @param {number} number The number to round up.\n       * @param {number} [precision=0] The precision to round up to.\n       * @returns {number} Returns the rounded up number.\n       * @example\n       *\n       * _.ceil(4.006);\n       * // => 5\n       *\n       * _.ceil(6.004, 2);\n       * // => 6.01\n       *\n       * _.ceil(6040, -2);\n       * // => 6100\n       */var ceil=createRound('ceil');/**\n         * Divide two numbers.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.7.0\n         * @category Math\n         * @param {number} dividend The first number in a division.\n         * @param {number} divisor The second number in a division.\n         * @returns {number} Returns the quotient.\n         * @example\n         *\n         * _.divide(6, 4);\n         * // => 1.5\n         */var divide=createMathOperation(function(dividend,divisor){return dividend/divisor;},1);/**\n       * Computes `number` rounded down to `precision`.\n       *\n       * @static\n       * @memberOf _\n       * @since 3.10.0\n       * @category Math\n       * @param {number} number The number to round down.\n       * @param {number} [precision=0] The precision to round down to.\n       * @returns {number} Returns the rounded down number.\n       * @example\n       *\n       * _.floor(4.006);\n       * // => 4\n       *\n       * _.floor(0.046, 2);\n       * // => 0.04\n       *\n       * _.floor(4060, -2);\n       * // => 4000\n       */var floor=createRound('floor');/**\n         * Computes the maximum value of `array`. If `array` is empty or falsey,\n         * `undefined` is returned.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Math\n         * @param {Array} array The array to iterate over.\n         * @returns {*} Returns the maximum value.\n         * @example\n         *\n         * _.max([4, 2, 8, 6]);\n         * // => 8\n         *\n         * _.max([]);\n         * // => undefined\n         */function max(array){return array&&array.length?baseExtremum(array,identity,baseGt):undefined;}/**\n         * This method is like `_.max` except that it accepts `iteratee` which is\n         * invoked for each element in `array` to generate the criterion by which\n         * the value is ranked. The iteratee is invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Math\n         * @param {Array} array The array to iterate over.\n         * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n         * @returns {*} Returns the maximum value.\n         * @example\n         *\n         * var objects = [{ 'n': 1 }, { 'n': 2 }];\n         *\n         * _.maxBy(objects, function(o) { return o.n; });\n         * // => { 'n': 2 }\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.maxBy(objects, 'n');\n         * // => { 'n': 2 }\n         */function maxBy(array,iteratee){return array&&array.length?baseExtremum(array,getIteratee(iteratee,2),baseGt):undefined;}/**\n         * Computes the mean of the values in `array`.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Math\n         * @param {Array} array The array to iterate over.\n         * @returns {number} Returns the mean.\n         * @example\n         *\n         * _.mean([4, 2, 8, 6]);\n         * // => 5\n         */function mean(array){return baseMean(array,identity);}/**\n         * This method is like `_.mean` except that it accepts `iteratee` which is\n         * invoked for each element in `array` to generate the value to be averaged.\n         * The iteratee is invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.7.0\n         * @category Math\n         * @param {Array} array The array to iterate over.\n         * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n         * @returns {number} Returns the mean.\n         * @example\n         *\n         * var objects = [{ 'n': 4 }, { 'n': 2 }, { 'n': 8 }, { 'n': 6 }];\n         *\n         * _.meanBy(objects, function(o) { return o.n; });\n         * // => 5\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.meanBy(objects, 'n');\n         * // => 5\n         */function meanBy(array,iteratee){return baseMean(array,getIteratee(iteratee,2));}/**\n         * Computes the minimum value of `array`. If `array` is empty or falsey,\n         * `undefined` is returned.\n         *\n         * @static\n         * @since 0.1.0\n         * @memberOf _\n         * @category Math\n         * @param {Array} array The array to iterate over.\n         * @returns {*} Returns the minimum value.\n         * @example\n         *\n         * _.min([4, 2, 8, 6]);\n         * // => 2\n         *\n         * _.min([]);\n         * // => undefined\n         */function min(array){return array&&array.length?baseExtremum(array,identity,baseLt):undefined;}/**\n         * This method is like `_.min` except that it accepts `iteratee` which is\n         * invoked for each element in `array` to generate the criterion by which\n         * the value is ranked. The iteratee is invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Math\n         * @param {Array} array The array to iterate over.\n         * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n         * @returns {*} Returns the minimum value.\n         * @example\n         *\n         * var objects = [{ 'n': 1 }, { 'n': 2 }];\n         *\n         * _.minBy(objects, function(o) { return o.n; });\n         * // => { 'n': 1 }\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.minBy(objects, 'n');\n         * // => { 'n': 1 }\n         */function minBy(array,iteratee){return array&&array.length?baseExtremum(array,getIteratee(iteratee,2),baseLt):undefined;}/**\n         * Multiply two numbers.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.7.0\n         * @category Math\n         * @param {number} multiplier The first number in a multiplication.\n         * @param {number} multiplicand The second number in a multiplication.\n         * @returns {number} Returns the product.\n         * @example\n         *\n         * _.multiply(6, 4);\n         * // => 24\n         */var multiply=createMathOperation(function(multiplier,multiplicand){return multiplier*multiplicand;},1);/**\n       * Computes `number` rounded to `precision`.\n       *\n       * @static\n       * @memberOf _\n       * @since 3.10.0\n       * @category Math\n       * @param {number} number The number to round.\n       * @param {number} [precision=0] The precision to round to.\n       * @returns {number} Returns the rounded number.\n       * @example\n       *\n       * _.round(4.006);\n       * // => 4\n       *\n       * _.round(4.006, 2);\n       * // => 4.01\n       *\n       * _.round(4060, -2);\n       * // => 4100\n       */var round=createRound('round');/**\n         * Subtract two numbers.\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Math\n         * @param {number} minuend The first number in a subtraction.\n         * @param {number} subtrahend The second number in a subtraction.\n         * @returns {number} Returns the difference.\n         * @example\n         *\n         * _.subtract(6, 4);\n         * // => 2\n         */var subtract=createMathOperation(function(minuend,subtrahend){return minuend-subtrahend;},0);/**\n       * Computes the sum of the values in `array`.\n       *\n       * @static\n       * @memberOf _\n       * @since 3.4.0\n       * @category Math\n       * @param {Array} array The array to iterate over.\n       * @returns {number} Returns the sum.\n       * @example\n       *\n       * _.sum([4, 2, 8, 6]);\n       * // => 20\n       */function sum(array){return array&&array.length?baseSum(array,identity):0;}/**\n         * This method is like `_.sum` except that it accepts `iteratee` which is\n         * invoked for each element in `array` to generate the value to be summed.\n         * The iteratee is invoked with one argument: (value).\n         *\n         * @static\n         * @memberOf _\n         * @since 4.0.0\n         * @category Math\n         * @param {Array} array The array to iterate over.\n         * @param {Function} [iteratee=_.identity] The iteratee invoked per element.\n         * @returns {number} Returns the sum.\n         * @example\n         *\n         * var objects = [{ 'n': 4 }, { 'n': 2 }, { 'n': 8 }, { 'n': 6 }];\n         *\n         * _.sumBy(objects, function(o) { return o.n; });\n         * // => 20\n         *\n         * // The `_.property` iteratee shorthand.\n         * _.sumBy(objects, 'n');\n         * // => 20\n         */function sumBy(array,iteratee){return array&&array.length?baseSum(array,getIteratee(iteratee,2)):0;}/* ------------------------------------------------------------------------*/ // Add methods that return wrapped values in chain 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func=arrayProto[methodName],chainName=/^(?:push|sort|unshift)$/.test(methodName)?'tap':'thru',retUnwrapped=/^(?:pop|shift)$/.test(methodName);lodash.prototype[methodName]=function(){var args=arguments;if(retUnwrapped&&!this.__chain__){var value=this.value();return func.apply(isArray(value)?value:[],args);}return this[chainName](function(value){return func.apply(isArray(value)?value:[],args);});};});// Map minified method names to their real names.\nbaseForOwn(LazyWrapper.prototype,function(func,methodName){var lodashFunc=lodash[methodName];if(lodashFunc){var key=lodashFunc.name+'',names=realNames[key]||(realNames[key]=[]);names.push({name:methodName,func:lodashFunc});}});realNames[createHybrid(undefined,WRAP_BIND_KEY_FLAG).name]=[{name:'wrapper',func:undefined}];// Add methods to `LazyWrapper`.\nLazyWrapper.prototype.clone=lazyClone;LazyWrapper.prototype.reverse=lazyReverse;LazyWrapper.prototype.value=lazyValue;// Add chain sequence methods to the `lodash` wrapper.\nlodash.prototype.at=wrapperAt;lodash.prototype.chain=wrapperChain;lodash.prototype.commit=wrapperCommit;lodash.prototype.next=wrapperNext;lodash.prototype.plant=wrapperPlant;lodash.prototype.reverse=wrapperReverse;lodash.prototype.toJSON=lodash.prototype.valueOf=lodash.prototype.value=wrapperValue;// Add lazy aliases.\nlodash.prototype.first=lodash.prototype.head;if(symIterator){lodash.prototype[symIterator]=wrapperToIterator;}return lodash;};/* --------------------------------------------------------------------------*/ // Export lodash.\nvar _=runInContext();// Some AMD build optimizers, like r.js, check for condition patterns like:\nif( true&&_typeof(__webpack_require__.amdO)==='object'&&__webpack_require__.amdO){// Expose Lodash on the global object to prevent errors when Lodash is\n// loaded by a script tag in the presence of an AMD loader.\n// See http://requirejs.org/docs/errors.html#mismatch for more details.\n// Use `_.noConflict` to remove Lodash from the global object.\nroot._=_;// Define as an anonymous module so, through path mapping, it can be\n// referenced as the \"underscore\" module.\n!(__WEBPACK_AMD_DEFINE_RESULT__ = (function(){return _;}).call(exports, __webpack_require__, exports, module),\n\t\t__WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__));}// Check for `exports` after `define` in case a build optimizer adds it.\nelse if(freeModule){// Export for Node.js.\n(freeModule.exports=_)._=_;// Export for CommonJS support.\nfreeExports._=_;}else{// Export to the global object.\nroot._=_;}}).call(undefined);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/lodash.js?");
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-"use strict";
-eval("\n\nexports.__esModule = true;\nexports[\"default\"] = function (target) {\n  for (var i = 1, j = arguments.length; i < j; i++) {\n    var source = arguments[i] || {};\n    for (var prop in source) {\n      if (source.hasOwnProperty(prop)) {\n        var value = source[prop];\n        if (value !== undefined) {\n          target[prop] = value;\n        }\n      }\n    }\n  }\n  return target;\n};\n;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/merge.js?");
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-  !*** ./node_modules/element-ui/lib/utils/popper.js ***!
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-/***/ (function(module, exports, __webpack_require__) {
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-"use strict";
-eval("/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\nvar __WEBPACK_AMD_DEFINE_FACTORY__, __WEBPACK_AMD_DEFINE_RESULT__;\n\nvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n  return typeof obj;\n} : function (obj) {\n  return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n};\n\n/**\n * @fileOverview Kickass library to create and place poppers near their reference elements.\n * @version {{version}}\n * @license\n * Copyright (c) 2016 Federico Zivolo and contributors\n *\n * Permission is hereby granted, free of charge, to any person obtaining a copy\n * of this software and associated documentation files (the \"Software\"), to deal\n * in the Software without restriction, including without limitation the rights\n * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell\n * copies of the Software, and to permit persons to whom the Software is\n * furnished to do so, subject to the following conditions:\n *\n * The above copyright notice and this permission notice shall be included in all\n * copies or substantial portions of the Software.\n *\n * THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,\n * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE\n * SOFTWARE.\n */\n\n//\n// Cross module loader\n// Supported: Node, AMD, Browser globals\n//\n;\n(function (root, factory) {\n  if (true) {\n    // AMD. Register as an anonymous module.\n    !(__WEBPACK_AMD_DEFINE_FACTORY__ = (factory),\n\t\t__WEBPACK_AMD_DEFINE_RESULT__ = (typeof __WEBPACK_AMD_DEFINE_FACTORY__ === 'function' ?\n\t\t(__WEBPACK_AMD_DEFINE_FACTORY__.call(exports, __webpack_require__, exports, module)) :\n\t\t__WEBPACK_AMD_DEFINE_FACTORY__),\n\t\t__WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__));\n  } else {}\n})(undefined, function () {\n  'use strict';\n\n  var root = window;\n\n  // default options\n  var DEFAULTS = {\n    // placement of the popper\n    placement: 'bottom',\n    gpuAcceleration: true,\n    // shift popper from its origin by the given amount of pixels (can be negative)\n    offset: 0,\n    // the element which will act as boundary of the popper\n    boundariesElement: 'viewport',\n    // amount of pixel used to define a minimum distance between the boundaries and the popper\n    boundariesPadding: 5,\n    // popper will try to prevent overflow following this order,\n    // by default, then, it could overflow on the left and on top of the boundariesElement\n    preventOverflowOrder: ['left', 'right', 'top', 'bottom'],\n    // the behavior used by flip to change the placement of the popper\n    flipBehavior: 'flip',\n    arrowElement: '[x-arrow]',\n    arrowOffset: 0,\n    // list of functions used to modify the offsets before they are applied to the popper\n    modifiers: ['shift', 'offset', 'preventOverflow', 'keepTogether', 'arrow', 'flip', 'applyStyle'],\n    modifiersIgnored: [],\n    forceAbsolute: false\n  };\n\n  /**\n   * Create a new Popper.js instance\n   * @constructor Popper\n   * @param {HTMLElement} reference - The reference element used to position the popper\n   * @param {HTMLElement|Object} popper\n   *      The HTML element used as popper, or a configuration used to generate the popper.\n   * @param {String} [popper.tagName='div'] The tag name of the generated popper.\n   * @param {Array} [popper.classNames=['popper']] Array of classes to apply to the generated popper.\n   * @param {Array} [popper.attributes] Array of attributes to apply, specify `attr:value` to assign a value to it.\n   * @param {HTMLElement|String} [popper.parent=window.document.body] The parent element, given as HTMLElement or as query string.\n   * @param {String} [popper.content=''] The content of the popper, it can be text, html, or node; if it is not text, set `contentType` to `html` or `node`.\n   * @param {String} [popper.contentType='text'] If `html`, the `content` will be parsed as HTML. If `node`, it will be appended as-is.\n   * @param {String} [popper.arrowTagName='div'] Same as `popper.tagName` but for the arrow element.\n   * @param {Array} [popper.arrowClassNames='popper__arrow'] Same as `popper.classNames` but for the arrow element.\n   * @param {String} [popper.arrowAttributes=['x-arrow']] Same as `popper.attributes` but for the arrow element.\n   * @param {Object} options\n   * @param {String} [options.placement=bottom]\n   *      Placement of the popper accepted values: `top(-start, -end), right(-start, -end), bottom(-start, -right),\n   *      left(-start, -end)`\n   *\n   * @param {HTMLElement|String} [options.arrowElement='[x-arrow]']\n   *      The DOM Node used as arrow for the popper, or a CSS selector used to get the DOM node. It must be child of\n   *      its parent Popper. Popper.js will apply to the given element the style required to align the arrow with its\n   *      reference element.\n   *      By default, it will look for a child node of the popper with the `x-arrow` attribute.\n   *\n   * @param {Boolean} [options.gpuAcceleration=true]\n   *      When this property is set to true, the popper position will be applied using CSS3 translate3d, allowing the\n   *      browser to use the GPU to accelerate the rendering.\n   *      If set to false, the popper will be placed using `top` and `left` properties, not using the GPU.\n   *\n   * @param {Number} [options.offset=0]\n   *      Amount of pixels the popper will be shifted (can be negative).\n   *\n   * @param {String|Element} [options.boundariesElement='viewport']\n   *      The element which will define the boundaries of the popper position, the popper will never be placed outside\n   *      of the defined boundaries (except if `keepTogether` is enabled)\n   *\n   * @param {Number} [options.boundariesPadding=5]\n   *      Additional padding for the boundaries\n   *\n   * @param {Array} [options.preventOverflowOrder=['left', 'right', 'top', 'bottom']]\n   *      Order used when Popper.js tries to avoid overflows from the boundaries, they will be checked in order,\n   *      this means that the last ones will never overflow\n   *\n   * @param {String|Array} [options.flipBehavior='flip']\n   *      The behavior used by the `flip` modifier to change the placement of the popper when the latter is trying to\n   *      overlap its reference element. Defining `flip` as value, the placement will be flipped on\n   *      its axis (`right - left`, `top - bottom`).\n   *      You can even pass an array of placements (eg: `['right', 'left', 'top']` ) to manually specify\n   *      how alter the placement when a flip is needed. (eg. in the above example, it would first flip from right to left,\n   *      then, if even in its new placement, the popper is overlapping its reference element, it will be moved to top)\n   *\n   * @param {Array} [options.modifiers=[ 'shift', 'offset', 'preventOverflow', 'keepTogether', 'arrow', 'flip', 'applyStyle']]\n   *      List of functions used to modify the data before they are applied to the popper, add your custom functions\n   *      to this array to edit the offsets and placement.\n   *      The function should reflect the @params and @returns of preventOverflow\n   *\n   * @param {Array} [options.modifiersIgnored=[]]\n   *      Put here any built-in modifier name you want to exclude from the modifiers list\n   *      The function should reflect the @params and @returns of preventOverflow\n   *\n   * @param {Boolean} [options.removeOnDestroy=false]\n   *      Set to true if you want to automatically remove the popper when you call the `destroy` method.\n   */\n  function Popper(reference, popper, options) {\n    this._reference = reference.jquery ? reference[0] : reference;\n    this.state = {};\n\n    // if the popper variable is a configuration object, parse it to generate an HTMLElement\n    // generate a default popper if is not defined\n    var isNotDefined = typeof popper === 'undefined' || popper === null;\n    var isConfig = popper && Object.prototype.toString.call(popper) === '[object Object]';\n    if (isNotDefined || isConfig) {\n      this._popper = this.parse(isConfig ? popper : {});\n    }\n    // otherwise, use the given HTMLElement as popper\n    else {\n      this._popper = popper.jquery ? popper[0] : popper;\n    }\n\n    // with {} we create a new object with the options inside it\n    this._options = Object.assign({}, DEFAULTS, options);\n\n    // refactoring modifiers' list\n    this._options.modifiers = this._options.modifiers.map(function (modifier) {\n      // remove ignored modifiers\n      if (this._options.modifiersIgnored.indexOf(modifier) !== -1) return;\n\n      // set the x-placement attribute before everything else because it could be used to add margins to the popper\n      // margins needs to be calculated to get the correct popper offsets\n      if (modifier === 'applyStyle') {\n        this._popper.setAttribute('x-placement', this._options.placement);\n      }\n\n      // return predefined modifier identified by string or keep the custom one\n      return this.modifiers[modifier] || modifier;\n    }.bind(this));\n\n    // make sure to apply the popper position before any computation\n    this.state.position = this._getPosition(this._popper, this._reference);\n    setStyle(this._popper, {\n      position: this.state.position,\n      top: 0\n    });\n\n    // fire the first update to position the popper in the right place\n    this.update();\n\n    // setup event listeners, they will take care of update the position in specific situations\n    this._setupEventListeners();\n    return this;\n  }\n\n  //\n  // Methods\n  //\n  /**\n   * Destroy the popper\n   * @method\n   * @memberof Popper\n   */\n  Popper.prototype.destroy = function () {\n    this._popper.removeAttribute('x-placement');\n    this._popper.style.left = '';\n    this._popper.style.position = '';\n    this._popper.style.top = '';\n    this._popper.style[getSupportedPropertyName('transform')] = '';\n    this._removeEventListeners();\n\n    // remove the popper if user explicity asked for the deletion on destroy\n    if (this._options.removeOnDestroy) {\n      this._popper.remove();\n    }\n    return this;\n  };\n\n  /**\n   * Updates the position of the popper, computing the new offsets and applying the new style\n   * @method\n   * @memberof Popper\n   */\n  Popper.prototype.update = function () {\n    var data = {\n      instance: this,\n      styles: {}\n    };\n\n    // store placement inside the data object, modifiers will be able to edit `placement` if needed\n    // and refer to _originalPlacement to know the original value\n    data.placement = this._options.placement;\n    data._originalPlacement = this._options.placement;\n\n    // compute the popper and reference offsets and put them inside data.offsets\n    data.offsets = this._getOffsets(this._popper, this._reference, data.placement);\n\n    // get boundaries\n    data.boundaries = this._getBoundaries(data, this._options.boundariesPadding, this._options.boundariesElement);\n    data = this.runModifiers(data, this._options.modifiers);\n    if (typeof this.state.updateCallback === 'function') {\n      this.state.updateCallback(data);\n    }\n  };\n\n  /**\n   * If a function is passed, it will be executed after the initialization of popper with as first argument the Popper instance.\n   * @method\n   * @memberof Popper\n   * @param {Function} callback\n   */\n  Popper.prototype.onCreate = function (callback) {\n    // the createCallbacks return as first argument the popper instance\n    callback(this);\n    return this;\n  };\n\n  /**\n   * If a function is passed, it will be executed after each update of popper with as first argument the set of coordinates and informations\n   * used to style popper and its arrow.\n   * NOTE: it doesn't get fired on the first call of the `Popper.update()` method inside the `Popper` constructor!\n   * @method\n   * @memberof Popper\n   * @param {Function} callback\n   */\n  Popper.prototype.onUpdate = function (callback) {\n    this.state.updateCallback = callback;\n    return this;\n  };\n\n  /**\n   * Helper used to generate poppers from a configuration file\n   * @method\n   * @memberof Popper\n   * @param config {Object} configuration\n   * @returns {HTMLElement} popper\n   */\n  Popper.prototype.parse = function (config) {\n    var defaultConfig = {\n      tagName: 'div',\n      classNames: ['popper'],\n      attributes: [],\n      parent: root.document.body,\n      content: '',\n      contentType: 'text',\n      arrowTagName: 'div',\n      arrowClassNames: ['popper__arrow'],\n      arrowAttributes: ['x-arrow']\n    };\n    config = Object.assign({}, defaultConfig, config);\n    var d = root.document;\n    var popper = d.createElement(config.tagName);\n    addClassNames(popper, config.classNames);\n    addAttributes(popper, config.attributes);\n    if (config.contentType === 'node') {\n      popper.appendChild(config.content.jquery ? config.content[0] : config.content);\n    } else if (config.contentType === 'html') {\n      popper.innerHTML = config.content;\n    } else {\n      popper.textContent = config.content;\n    }\n    if (config.arrowTagName) {\n      var arrow = d.createElement(config.arrowTagName);\n      addClassNames(arrow, config.arrowClassNames);\n      addAttributes(arrow, config.arrowAttributes);\n      popper.appendChild(arrow);\n    }\n    var parent = config.parent.jquery ? config.parent[0] : config.parent;\n\n    // if the given parent is a string, use it to match an element\n    // if more than one element is matched, the first one will be used as parent\n    // if no elements are matched, the script will throw an error\n    if (typeof parent === 'string') {\n      parent = d.querySelectorAll(config.parent);\n      if (parent.length > 1) {\n        console.warn('WARNING: the given `parent` query(' + config.parent + ') matched more than one element, the first one will be used');\n      }\n      if (parent.length === 0) {\n        throw 'ERROR: the given `parent` doesn\\'t exists!';\n      }\n      parent = parent[0];\n    }\n    // if the given parent is a DOM nodes list or an array of nodes with more than one element,\n    // the first one will be used as parent\n    if (parent.length > 1 && parent instanceof Element === false) {\n      console.warn('WARNING: you have passed as parent a list of elements, the first one will be used');\n      parent = parent[0];\n    }\n\n    // append the generated popper to its parent\n    parent.appendChild(popper);\n    return popper;\n\n    /**\n     * Adds class names to the given element\n     * @function\n     * @ignore\n     * @param {HTMLElement} target\n     * @param {Array} classes\n     */\n    function addClassNames(element, classNames) {\n      classNames.forEach(function (className) {\n        element.classList.add(className);\n      });\n    }\n\n    /**\n     * Adds attributes to the given element\n     * @function\n     * @ignore\n     * @param {HTMLElement} target\n     * @param {Array} attributes\n     * @example\n     * addAttributes(element, [ 'data-info:foobar' ]);\n     */\n    function addAttributes(element, attributes) {\n      attributes.forEach(function (attribute) {\n        element.setAttribute(attribute.split(':')[0], attribute.split(':')[1] || '');\n      });\n    }\n  };\n\n  /**\n   * Helper used to get the position which will be applied to the popper\n   * @method\n   * @memberof Popper\n   * @param config {HTMLElement} popper element\n   * @param reference {HTMLElement} reference element\n   * @returns {String} position\n   */\n  Popper.prototype._getPosition = function (popper, reference) {\n    var container = getOffsetParent(reference);\n    if (this._options.forceAbsolute) {\n      return 'absolute';\n    }\n\n    // Decide if the popper will be fixed\n    // If the reference element is inside a fixed context, the popper will be fixed as well to allow them to scroll together\n    var isParentFixed = isFixed(reference, container);\n    return isParentFixed ? 'fixed' : 'absolute';\n  };\n\n  /**\n   * Get offsets to the popper\n   * @method\n   * @memberof Popper\n   * @access private\n   * @param {Element} popper - the popper element\n   * @param {Element} reference - the reference element (the popper will be relative to this)\n   * @returns {Object} An object containing the offsets which will be applied to the popper\n   */\n  Popper.prototype._getOffsets = function (popper, reference, placement) {\n    placement = placement.split('-')[0];\n    var popperOffsets = {};\n    popperOffsets.position = this.state.position;\n    var isParentFixed = popperOffsets.position === 'fixed';\n\n    //\n    // Get reference element position\n    //\n    var referenceOffsets = getOffsetRectRelativeToCustomParent(reference, getOffsetParent(popper), isParentFixed);\n\n    //\n    // Get popper sizes\n    //\n    var popperRect = getOuterSizes(popper);\n\n    //\n    // Compute offsets of popper\n    //\n\n    // depending by the popper placement we have to compute its offsets slightly differently\n    if (['right', 'left'].indexOf(placement) !== -1) {\n      popperOffsets.top = referenceOffsets.top + referenceOffsets.height / 2 - popperRect.height / 2;\n      if (placement === 'left') {\n        popperOffsets.left = referenceOffsets.left - popperRect.width;\n      } else {\n        popperOffsets.left = referenceOffsets.right;\n      }\n    } else {\n      popperOffsets.left = referenceOffsets.left + referenceOffsets.width / 2 - popperRect.width / 2;\n      if (placement === 'top') {\n        popperOffsets.top = referenceOffsets.top - popperRect.height;\n      } else {\n        popperOffsets.top = referenceOffsets.bottom;\n      }\n    }\n\n    // Add width and height to our offsets object\n    popperOffsets.width = popperRect.width;\n    popperOffsets.height = popperRect.height;\n    return {\n      popper: popperOffsets,\n      reference: referenceOffsets\n    };\n  };\n\n  /**\n   * Setup needed event listeners used to update the popper position\n   * @method\n   * @memberof Popper\n   * @access private\n   */\n  Popper.prototype._setupEventListeners = function () {\n    // NOTE: 1 DOM access here\n    this.state.updateBound = this.update.bind(this);\n    root.addEventListener('resize', this.state.updateBound);\n    // if the boundariesElement is window we don't need to listen for the scroll event\n    if (this._options.boundariesElement !== 'window') {\n      var target = getScrollParent(this._reference);\n      // here it could be both `body` or `documentElement` thanks to Firefox, we then check both\n      if (target === root.document.body || target === root.document.documentElement) {\n        target = root;\n      }\n      target.addEventListener('scroll', this.state.updateBound);\n      this.state.scrollTarget = target;\n    }\n  };\n\n  /**\n   * Remove event listeners used to update the popper position\n   * @method\n   * @memberof Popper\n   * @access private\n   */\n  Popper.prototype._removeEventListeners = function () {\n    // NOTE: 1 DOM access here\n    root.removeEventListener('resize', this.state.updateBound);\n    if (this._options.boundariesElement !== 'window' && this.state.scrollTarget) {\n      this.state.scrollTarget.removeEventListener('scroll', this.state.updateBound);\n      this.state.scrollTarget = null;\n    }\n    this.state.updateBound = null;\n  };\n\n  /**\n   * Computed the boundaries limits and return them\n   * @method\n   * @memberof Popper\n   * @access private\n   * @param {Object} data - Object containing the property \"offsets\" generated by `_getOffsets`\n   * @param {Number} padding - Boundaries padding\n   * @param {Element} boundariesElement - Element used to define the boundaries\n   * @returns {Object} Coordinates of the boundaries\n   */\n  Popper.prototype._getBoundaries = function (data, padding, boundariesElement) {\n    // NOTE: 1 DOM access here\n    var boundaries = {};\n    var width, height;\n    if (boundariesElement === 'window') {\n      var body = root.document.body,\n        html = root.document.documentElement;\n      height = Math.max(body.scrollHeight, body.offsetHeight, html.clientHeight, html.scrollHeight, html.offsetHeight);\n      width = Math.max(body.scrollWidth, body.offsetWidth, html.clientWidth, html.scrollWidth, html.offsetWidth);\n      boundaries = {\n        top: 0,\n        right: width,\n        bottom: height,\n        left: 0\n      };\n    } else if (boundariesElement === 'viewport') {\n      var offsetParent = getOffsetParent(this._popper);\n      var scrollParent = getScrollParent(this._popper);\n      var offsetParentRect = getOffsetRect(offsetParent);\n\n      // Thanks the fucking native API, `document.body.scrollTop` & `document.documentElement.scrollTop`\n      var getScrollTopValue = function getScrollTopValue(element) {\n        return element == document.body ? Math.max(document.documentElement.scrollTop, document.body.scrollTop) : element.scrollTop;\n      };\n      var getScrollLeftValue = function getScrollLeftValue(element) {\n        return element == document.body ? Math.max(document.documentElement.scrollLeft, document.body.scrollLeft) : element.scrollLeft;\n      };\n\n      // if the popper is fixed we don't have to substract scrolling from the boundaries\n      var scrollTop = data.offsets.popper.position === 'fixed' ? 0 : getScrollTopValue(scrollParent);\n      var scrollLeft = data.offsets.popper.position === 'fixed' ? 0 : getScrollLeftValue(scrollParent);\n      boundaries = {\n        top: 0 - (offsetParentRect.top - scrollTop),\n        right: root.document.documentElement.clientWidth - (offsetParentRect.left - scrollLeft),\n        bottom: root.document.documentElement.clientHeight - (offsetParentRect.top - scrollTop),\n        left: 0 - (offsetParentRect.left - scrollLeft)\n      };\n    } else {\n      if (getOffsetParent(this._popper) === boundariesElement) {\n        boundaries = {\n          top: 0,\n          left: 0,\n          right: boundariesElement.clientWidth,\n          bottom: boundariesElement.clientHeight\n        };\n      } else {\n        boundaries = getOffsetRect(boundariesElement);\n      }\n    }\n    boundaries.left += padding;\n    boundaries.right -= padding;\n    boundaries.top = boundaries.top + padding;\n    boundaries.bottom = boundaries.bottom - padding;\n    return boundaries;\n  };\n\n  /**\n   * Loop trough the list of modifiers and run them in order, each of them will then edit the data object\n   * @method\n   * @memberof Popper\n   * @access public\n   * @param {Object} data\n   * @param {Array} modifiers\n   * @param {Function} ends\n   */\n  Popper.prototype.runModifiers = function (data, modifiers, ends) {\n    var modifiersToRun = modifiers.slice();\n    if (ends !== undefined) {\n      modifiersToRun = this._options.modifiers.slice(0, getArrayKeyIndex(this._options.modifiers, ends));\n    }\n    modifiersToRun.forEach(function (modifier) {\n      if (isFunction(modifier)) {\n        data = modifier.call(this, data);\n      }\n    }.bind(this));\n    return data;\n  };\n\n  /**\n   * Helper used to know if the given modifier depends from another one.\n   * @method\n   * @memberof Popper\n   * @param {String} requesting - name of requesting modifier\n   * @param {String} requested - name of requested modifier\n   * @returns {Boolean}\n   */\n  Popper.prototype.isModifierRequired = function (requesting, requested) {\n    var index = getArrayKeyIndex(this._options.modifiers, requesting);\n    return !!this._options.modifiers.slice(0, index).filter(function (modifier) {\n      return modifier === requested;\n    }).length;\n  };\n\n  //\n  // Modifiers\n  //\n\n  /**\n   * Modifiers list\n   * @namespace Popper.modifiers\n   * @memberof Popper\n   * @type {Object}\n   */\n  Popper.prototype.modifiers = {};\n\n  /**\n   * Apply the computed styles to the popper element\n   * @method\n   * @memberof Popper.modifiers\n   * @argument {Object} data - The data object generated by `update` method\n   * @returns {Object} The same data object\n   */\n  Popper.prototype.modifiers.applyStyle = function (data) {\n    // apply the final offsets to the popper\n    // NOTE: 1 DOM access here\n    var styles = {\n      position: data.offsets.popper.position\n    };\n\n    // round top and left to avoid blurry text\n    var left = Math.round(data.offsets.popper.left);\n    var top = Math.round(data.offsets.popper.top);\n\n    // if gpuAcceleration is set to true and transform is supported, we use `translate3d` to apply the position to the popper\n    // we automatically use the supported prefixed version if needed\n    var prefixedProperty;\n    if (this._options.gpuAcceleration && (prefixedProperty = getSupportedPropertyName('transform'))) {\n      styles[prefixedProperty] = 'translate3d(' + left + 'px, ' + top + 'px, 0)';\n      styles.top = 0;\n      styles.left = 0;\n    }\n    // othwerise, we use the standard `left` and `top` properties\n    else {\n      styles.left = left;\n      styles.top = top;\n    }\n\n    // any property present in `data.styles` will be applied to the popper,\n    // in this way we can make the 3rd party modifiers add custom styles to it\n    // Be aware, modifiers could override the properties defined in the previous\n    // lines of this modifier!\n    Object.assign(styles, data.styles);\n    setStyle(this._popper, styles);\n\n    // set an attribute which will be useful to style the tooltip (use it to properly position its arrow)\n    // NOTE: 1 DOM access here\n    this._popper.setAttribute('x-placement', data.placement);\n\n    // if the arrow modifier is required and the arrow style has been computed, apply the arrow style\n    if (this.isModifierRequired(this.modifiers.applyStyle, this.modifiers.arrow) && data.offsets.arrow) {\n      setStyle(data.arrowElement, data.offsets.arrow);\n    }\n    return data;\n  };\n\n  /**\n   * Modifier used to shift the popper on the start or end of its reference element side\n   * @method\n   * @memberof Popper.modifiers\n   * @argument {Object} data - The data object generated by `update` method\n   * @returns {Object} The data object, properly modified\n   */\n  Popper.prototype.modifiers.shift = function (data) {\n    var placement = data.placement;\n    var basePlacement = placement.split('-')[0];\n    var shiftVariation = placement.split('-')[1];\n\n    // if shift shiftVariation is specified, run the modifier\n    if (shiftVariation) {\n      var reference = data.offsets.reference;\n      var popper = getPopperClientRect(data.offsets.popper);\n      var shiftOffsets = {\n        y: {\n          start: {\n            top: reference.top\n          },\n          end: {\n            top: reference.top + reference.height - popper.height\n          }\n        },\n        x: {\n          start: {\n            left: reference.left\n          },\n          end: {\n            left: reference.left + reference.width - popper.width\n          }\n        }\n      };\n      var axis = ['bottom', 'top'].indexOf(basePlacement) !== -1 ? 'x' : 'y';\n      data.offsets.popper = Object.assign(popper, shiftOffsets[axis][shiftVariation]);\n    }\n    return data;\n  };\n\n  /**\n   * Modifier used to make sure the popper does not overflows from it's boundaries\n   * @method\n   * @memberof Popper.modifiers\n   * @argument {Object} data - The data object generated by `update` method\n   * @returns {Object} The data object, properly modified\n   */\n  Popper.prototype.modifiers.preventOverflow = function (data) {\n    var order = this._options.preventOverflowOrder;\n    var popper = getPopperClientRect(data.offsets.popper);\n    var check = {\n      left: function left() {\n        var left = popper.left;\n        if (popper.left < data.boundaries.left) {\n          left = Math.max(popper.left, data.boundaries.left);\n        }\n        return {\n          left: left\n        };\n      },\n      right: function right() {\n        var left = popper.left;\n        if (popper.right > data.boundaries.right) {\n          left = Math.min(popper.left, data.boundaries.right - popper.width);\n        }\n        return {\n          left: left\n        };\n      },\n      top: function top() {\n        var top = popper.top;\n        if (popper.top < data.boundaries.top) {\n          top = Math.max(popper.top, data.boundaries.top);\n        }\n        return {\n          top: top\n        };\n      },\n      bottom: function bottom() {\n        var top = popper.top;\n        if (popper.bottom > data.boundaries.bottom) {\n          top = Math.min(popper.top, data.boundaries.bottom - popper.height);\n        }\n        return {\n          top: top\n        };\n      }\n    };\n    order.forEach(function (direction) {\n      data.offsets.popper = Object.assign(popper, check[direction]());\n    });\n    return data;\n  };\n\n  /**\n   * Modifier used to make sure the popper is always near its reference\n   * @method\n   * @memberof Popper.modifiers\n   * @argument {Object} data - The data object generated by _update method\n   * @returns {Object} The data object, properly modified\n   */\n  Popper.prototype.modifiers.keepTogether = function (data) {\n    var popper = getPopperClientRect(data.offsets.popper);\n    var reference = data.offsets.reference;\n    var f = Math.floor;\n    if (popper.right < f(reference.left)) {\n      data.offsets.popper.left = f(reference.left) - popper.width;\n    }\n    if (popper.left > f(reference.right)) {\n      data.offsets.popper.left = f(reference.right);\n    }\n    if (popper.bottom < f(reference.top)) {\n      data.offsets.popper.top = f(reference.top) - popper.height;\n    }\n    if (popper.top > f(reference.bottom)) {\n      data.offsets.popper.top = f(reference.bottom);\n    }\n    return data;\n  };\n\n  /**\n   * Modifier used to flip the placement of the popper when the latter is starting overlapping its reference element.\n   * Requires the `preventOverflow` modifier before it in order to work.\n   * **NOTE:** This modifier will run all its previous modifiers everytime it tries to flip the popper!\n   * @method\n   * @memberof Popper.modifiers\n   * @argument {Object} data - The data object generated by _update method\n   * @returns {Object} The data object, properly modified\n   */\n  Popper.prototype.modifiers.flip = function (data) {\n    // check if preventOverflow is in the list of modifiers before the flip modifier.\n    // otherwise flip would not work as expected.\n    if (!this.isModifierRequired(this.modifiers.flip, this.modifiers.preventOverflow)) {\n      console.warn('WARNING: preventOverflow modifier is required by flip modifier in order to work, be sure to include it before flip!');\n      return data;\n    }\n    if (data.flipped && data.placement === data._originalPlacement) {\n      // seems like flip is trying to loop, probably there's not enough space on any of the flippable sides\n      return data;\n    }\n    var placement = data.placement.split('-')[0];\n    var placementOpposite = getOppositePlacement(placement);\n    var variation = data.placement.split('-')[1] || '';\n    var flipOrder = [];\n    if (this._options.flipBehavior === 'flip') {\n      flipOrder = [placement, placementOpposite];\n    } else {\n      flipOrder = this._options.flipBehavior;\n    }\n    flipOrder.forEach(function (step, index) {\n      if (placement !== step || flipOrder.length === index + 1) {\n        return;\n      }\n      placement = data.placement.split('-')[0];\n      placementOpposite = getOppositePlacement(placement);\n      var popperOffsets = getPopperClientRect(data.offsets.popper);\n\n      // this boolean is used to distinguish right and bottom from top and left\n      // they need different computations to get flipped\n      var a = ['right', 'bottom'].indexOf(placement) !== -1;\n\n      // using Math.floor because the reference offsets may contain decimals we are not going to consider here\n      if (a && Math.floor(data.offsets.reference[placement]) > Math.floor(popperOffsets[placementOpposite]) || !a && Math.floor(data.offsets.reference[placement]) < Math.floor(popperOffsets[placementOpposite])) {\n        // we'll use this boolean to detect any flip loop\n        data.flipped = true;\n        data.placement = flipOrder[index + 1];\n        if (variation) {\n          data.placement += '-' + variation;\n        }\n        data.offsets.popper = this._getOffsets(this._popper, this._reference, data.placement).popper;\n        data = this.runModifiers(data, this._options.modifiers, this._flip);\n      }\n    }.bind(this));\n    return data;\n  };\n\n  /**\n   * Modifier used to add an offset to the popper, useful if you more granularity positioning your popper.\n   * The offsets will shift the popper on the side of its reference element.\n   * @method\n   * @memberof Popper.modifiers\n   * @argument {Object} data - The data object generated by _update method\n   * @returns {Object} The data object, properly modified\n   */\n  Popper.prototype.modifiers.offset = function (data) {\n    var offset = this._options.offset;\n    var popper = data.offsets.popper;\n    if (data.placement.indexOf('left') !== -1) {\n      popper.top -= offset;\n    } else if (data.placement.indexOf('right') !== -1) {\n      popper.top += offset;\n    } else if (data.placement.indexOf('top') !== -1) {\n      popper.left -= offset;\n    } else if (data.placement.indexOf('bottom') !== -1) {\n      popper.left += offset;\n    }\n    return data;\n  };\n\n  /**\n   * Modifier used to move the arrows on the edge of the popper to make sure them are always between the popper and the reference element\n   * It will use the CSS outer size of the arrow element to know how many pixels of conjuction are needed\n   * @method\n   * @memberof Popper.modifiers\n   * @argument {Object} data - The data object generated by _update method\n   * @returns {Object} The data object, properly modified\n   */\n  Popper.prototype.modifiers.arrow = function (data) {\n    var arrow = this._options.arrowElement;\n    var arrowOffset = this._options.arrowOffset;\n\n    // if the arrowElement is a string, suppose it's a CSS selector\n    if (typeof arrow === 'string') {\n      arrow = this._popper.querySelector(arrow);\n    }\n\n    // if arrow element is not found, don't run the modifier\n    if (!arrow) {\n      return data;\n    }\n\n    // the arrow element must be child of its popper\n    if (!this._popper.contains(arrow)) {\n      console.warn('WARNING: `arrowElement` must be child of its popper element!');\n      return data;\n    }\n\n    // arrow depends on keepTogether in order to work\n    if (!this.isModifierRequired(this.modifiers.arrow, this.modifiers.keepTogether)) {\n      console.warn('WARNING: keepTogether modifier is required by arrow modifier in order to work, be sure to include it before arrow!');\n      return data;\n    }\n    var arrowStyle = {};\n    var placement = data.placement.split('-')[0];\n    var popper = getPopperClientRect(data.offsets.popper);\n    var reference = data.offsets.reference;\n    var isVertical = ['left', 'right'].indexOf(placement) !== -1;\n    var len = isVertical ? 'height' : 'width';\n    var side = isVertical ? 'top' : 'left';\n    var translate = isVertical ? 'translateY' : 'translateX';\n    var altSide = isVertical ? 'left' : 'top';\n    var opSide = isVertical ? 'bottom' : 'right';\n    var arrowSize = getOuterSizes(arrow)[len];\n\n    //\n    // extends keepTogether behavior making sure the popper and its reference have enough pixels in conjuction\n    //\n\n    // top/left side\n    if (reference[opSide] - arrowSize < popper[side]) {\n      data.offsets.popper[side] -= popper[side] - (reference[opSide] - arrowSize);\n    }\n    // bottom/right side\n    if (reference[side] + arrowSize > popper[opSide]) {\n      data.offsets.popper[side] += reference[side] + arrowSize - popper[opSide];\n    }\n\n    // compute center of the popper\n    var center = reference[side] + (arrowOffset || reference[len] / 2 - arrowSize / 2);\n    var sideValue = center - popper[side];\n\n    // prevent arrow from being placed not contiguously to its popper\n    sideValue = Math.max(Math.min(popper[len] - arrowSize - 8, sideValue), 8);\n    arrowStyle[side] = sideValue;\n    arrowStyle[altSide] = ''; // make sure to remove any old style from the arrow\n\n    data.offsets.arrow = arrowStyle;\n    data.arrowElement = arrow;\n    return data;\n  };\n\n  //\n  // Helpers\n  //\n\n  /**\n   * Get the outer sizes of the given element (offset size + margins)\n   * @function\n   * @ignore\n   * @argument {Element} element\n   * @returns {Object} object containing width and height properties\n   */\n  function getOuterSizes(element) {\n    // NOTE: 1 DOM access here\n    var _display = element.style.display,\n      _visibility = element.style.visibility;\n    element.style.display = 'block';\n    element.style.visibility = 'hidden';\n    var calcWidthToForceRepaint = element.offsetWidth;\n\n    // original method\n    var styles = root.getComputedStyle(element);\n    var x = parseFloat(styles.marginTop) + parseFloat(styles.marginBottom);\n    var y = parseFloat(styles.marginLeft) + parseFloat(styles.marginRight);\n    var result = {\n      width: element.offsetWidth + y,\n      height: element.offsetHeight + x\n    };\n\n    // reset element styles\n    element.style.display = _display;\n    element.style.visibility = _visibility;\n    return result;\n  }\n\n  /**\n   * Get the opposite placement of the given one/\n   * @function\n   * @ignore\n   * @argument {String} placement\n   * @returns {String} flipped placement\n   */\n  function getOppositePlacement(placement) {\n    var hash = {\n      left: 'right',\n      right: 'left',\n      bottom: 'top',\n      top: 'bottom'\n    };\n    return placement.replace(/left|right|bottom|top/g, function (matched) {\n      return hash[matched];\n    });\n  }\n\n  /**\n   * Given the popper offsets, generate an output similar to getBoundingClientRect\n   * @function\n   * @ignore\n   * @argument {Object} popperOffsets\n   * @returns {Object} ClientRect like output\n   */\n  function getPopperClientRect(popperOffsets) {\n    var offsets = Object.assign({}, popperOffsets);\n    offsets.right = offsets.left + offsets.width;\n    offsets.bottom = offsets.top + offsets.height;\n    return offsets;\n  }\n\n  /**\n   * Given an array and the key to find, returns its index\n   * @function\n   * @ignore\n   * @argument {Array} arr\n   * @argument keyToFind\n   * @returns index or null\n   */\n  function getArrayKeyIndex(arr, keyToFind) {\n    var i = 0,\n      key;\n    for (key in arr) {\n      if (arr[key] === keyToFind) {\n        return i;\n      }\n      i++;\n    }\n    return null;\n  }\n\n  /**\n   * Get CSS computed property of the given element\n   * @function\n   * @ignore\n   * @argument {Eement} element\n   * @argument {String} property\n   */\n  function getStyleComputedProperty(element, property) {\n    // NOTE: 1 DOM access here\n    var css = root.getComputedStyle(element, null);\n    return css[property];\n  }\n\n  /**\n   * Returns the offset parent of the given element\n   * @function\n   * @ignore\n   * @argument {Element} element\n   * @returns {Element} offset parent\n   */\n  function getOffsetParent(element) {\n    // NOTE: 1 DOM access here\n    var offsetParent = element.offsetParent;\n    return offsetParent === root.document.body || !offsetParent ? root.document.documentElement : offsetParent;\n  }\n\n  /**\n   * Returns the scrolling parent of the given element\n   * @function\n   * @ignore\n   * @argument {Element} element\n   * @returns {Element} offset parent\n   */\n  function getScrollParent(element) {\n    var parent = element.parentNode;\n    if (!parent) {\n      return element;\n    }\n    if (parent === root.document) {\n      // Firefox puts the scrollTOp value on `documentElement` instead of `body`, we then check which of them is\n      // greater than 0 and return the proper element\n      if (root.document.body.scrollTop || root.document.body.scrollLeft) {\n        return root.document.body;\n      } else {\n        return root.document.documentElement;\n      }\n    }\n\n    // Firefox want us to check `-x` and `-y` variations as well\n    if (['scroll', 'auto'].indexOf(getStyleComputedProperty(parent, 'overflow')) !== -1 || ['scroll', 'auto'].indexOf(getStyleComputedProperty(parent, 'overflow-x')) !== -1 || ['scroll', 'auto'].indexOf(getStyleComputedProperty(parent, 'overflow-y')) !== -1) {\n      // If the detected scrollParent is body, we perform an additional check on its parentNode\n      // in this way we'll get body if the browser is Chrome-ish, or documentElement otherwise\n      // fixes issue #65\n      return parent;\n    }\n    return getScrollParent(element.parentNode);\n  }\n\n  /**\n   * Check if the given element is fixed or is inside a fixed parent\n   * @function\n   * @ignore\n   * @argument {Element} element\n   * @argument {Element} customContainer\n   * @returns {Boolean} answer to \"isFixed?\"\n   */\n  function isFixed(element) {\n    if (element === root.document.body) {\n      return false;\n    }\n    if (getStyleComputedProperty(element, 'position') === 'fixed') {\n      return true;\n    }\n    return element.parentNode ? isFixed(element.parentNode) : element;\n  }\n\n  /**\n   * Set the style to the given popper\n   * @function\n   * @ignore\n   * @argument {Element} element - Element to apply the style to\n   * @argument {Object} styles - Object with a list of properties and values which will be applied to the element\n   */\n  function setStyle(element, styles) {\n    function is_numeric(n) {\n      return n !== '' && !isNaN(parseFloat(n)) && isFinite(n);\n    }\n    Object.keys(styles).forEach(function (prop) {\n      var unit = '';\n      // add unit if the value is numeric and is one of the following\n      if (['width', 'height', 'top', 'right', 'bottom', 'left'].indexOf(prop) !== -1 && is_numeric(styles[prop])) {\n        unit = 'px';\n      }\n      element.style[prop] = styles[prop] + unit;\n    });\n  }\n\n  /**\n   * Check if the given variable is a function\n   * @function\n   * @ignore\n   * @argument {*} functionToCheck - variable to check\n   * @returns {Boolean} answer to: is a function?\n   */\n  function isFunction(functionToCheck) {\n    var getType = {};\n    return functionToCheck && getType.toString.call(functionToCheck) === '[object Function]';\n  }\n\n  /**\n   * Get the position of the given element, relative to its offset parent\n   * @function\n   * @ignore\n   * @param {Element} element\n   * @return {Object} position - Coordinates of the element and its `scrollTop`\n   */\n  function getOffsetRect(element) {\n    var elementRect = {\n      width: element.offsetWidth,\n      height: element.offsetHeight,\n      left: element.offsetLeft,\n      top: element.offsetTop\n    };\n    elementRect.right = elementRect.left + elementRect.width;\n    elementRect.bottom = elementRect.top + elementRect.height;\n\n    // position\n    return elementRect;\n  }\n\n  /**\n   * Get bounding client rect of given element\n   * @function\n   * @ignore\n   * @param {HTMLElement} element\n   * @return {Object} client rect\n   */\n  function getBoundingClientRect(element) {\n    var rect = element.getBoundingClientRect();\n\n    // whether the IE version is lower than 11\n    var isIE = navigator.userAgent.indexOf(\"MSIE\") != -1;\n\n    // fix ie document bounding top always 0 bug\n    var rectTop = isIE && element.tagName === 'HTML' ? -element.scrollTop : rect.top;\n    return {\n      left: rect.left,\n      top: rectTop,\n      right: rect.right,\n      bottom: rect.bottom,\n      width: rect.right - rect.left,\n      height: rect.bottom - rectTop\n    };\n  }\n\n  /**\n   * Given an element and one of its parents, return the offset\n   * @function\n   * @ignore\n   * @param {HTMLElement} element\n   * @param {HTMLElement} parent\n   * @return {Object} rect\n   */\n  function getOffsetRectRelativeToCustomParent(element, parent, fixed) {\n    var elementRect = getBoundingClientRect(element);\n    var parentRect = getBoundingClientRect(parent);\n    if (fixed) {\n      var scrollParent = getScrollParent(parent);\n      parentRect.top += scrollParent.scrollTop;\n      parentRect.bottom += scrollParent.scrollTop;\n      parentRect.left += scrollParent.scrollLeft;\n      parentRect.right += scrollParent.scrollLeft;\n    }\n    var rect = {\n      top: elementRect.top - parentRect.top,\n      left: elementRect.left - parentRect.left,\n      bottom: elementRect.top - parentRect.top + elementRect.height,\n      right: elementRect.left - parentRect.left + elementRect.width,\n      width: elementRect.width,\n      height: elementRect.height\n    };\n    return rect;\n  }\n\n  /**\n   * Get the prefixed supported property name\n   * @function\n   * @ignore\n   * @argument {String} property (camelCase)\n   * @returns {String} prefixed property (camelCase)\n   */\n  function getSupportedPropertyName(property) {\n    var prefixes = ['', 'ms', 'webkit', 'moz', 'o'];\n    for (var i = 0; i < prefixes.length; i++) {\n      var toCheck = prefixes[i] ? prefixes[i] + property.charAt(0).toUpperCase() + property.slice(1) : property;\n      if (typeof root.document.body.style[toCheck] !== 'undefined') {\n        return toCheck;\n      }\n    }\n    return null;\n  }\n\n  /**\n   * The Object.assign() method is used to copy the values of all enumerable own properties from one or more source\n   * objects to a target object. It will return the target object.\n   * This polyfill doesn't support symbol properties, since ES5 doesn't have symbols anyway\n   * Source: https://developer.mozilla.org/en/docs/Web/JavaScript/Reference/Global_Objects/Object/assign\n   * @function\n   * @ignore\n   */\n  if (!Object.assign) {\n    Object.defineProperty(Object, 'assign', {\n      enumerable: false,\n      configurable: true,\n      writable: true,\n      value: function value(target) {\n        if (target === undefined || target === null) {\n          throw new TypeError('Cannot convert first argument to object');\n        }\n        var to = Object(target);\n        for (var i = 1; i < arguments.length; i++) {\n          var nextSource = arguments[i];\n          if (nextSource === undefined || nextSource === null) {\n            continue;\n          }\n          nextSource = Object(nextSource);\n          var keysArray = Object.keys(nextSource);\n          for (var nextIndex = 0, len = keysArray.length; nextIndex < len; nextIndex++) {\n            var nextKey = keysArray[nextIndex];\n            var desc = Object.getOwnPropertyDescriptor(nextSource, nextKey);\n            if (desc !== undefined && desc.enumerable) {\n              to[nextKey] = nextSource[nextKey];\n            }\n          }\n        }\n        return to;\n      }\n    });\n  }\n  return Popper;\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/popper.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/utils/popup/index.js":
-/*!**********************************************************!*\
-  !*** ./node_modules/element-ui/lib/utils/popup/index.js ***!
-  \**********************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
-eval("\n\nexports.__esModule = true;\nexports.PopupManager = undefined;\nvar _vue = __webpack_require__(/*! vue */ \"./node_modules/vue/dist/vue.runtime.esm.js\");\nvar _vue2 = _interopRequireDefault(_vue);\nvar _merge = __webpack_require__(/*! element-ui/lib/utils/merge */ \"./node_modules/element-ui/lib/utils/merge.js\");\nvar _merge2 = _interopRequireDefault(_merge);\nvar _popupManager = __webpack_require__(/*! element-ui/lib/utils/popup/popup-manager */ \"./node_modules/element-ui/lib/utils/popup/popup-manager.js\");\nvar _popupManager2 = _interopRequireDefault(_popupManager);\nvar _scrollbarWidth = __webpack_require__(/*! ../scrollbar-width */ \"./node_modules/element-ui/lib/utils/scrollbar-width.js\");\nvar _scrollbarWidth2 = _interopRequireDefault(_scrollbarWidth);\nvar _dom = __webpack_require__(/*! ../dom */ \"./node_modules/element-ui/lib/utils/dom.js\");\nfunction _interopRequireDefault(obj) {\n  return obj && obj.__esModule ? obj : {\n    default: obj\n  };\n}\nvar idSeed = 1;\nvar scrollBarWidth = void 0;\nexports[\"default\"] = {\n  props: {\n    visible: {\n      type: Boolean,\n      default: false\n    },\n    openDelay: {},\n    closeDelay: {},\n    zIndex: {},\n    modal: {\n      type: Boolean,\n      default: false\n    },\n    modalFade: {\n      type: Boolean,\n      default: true\n    },\n    modalClass: {},\n    modalAppendToBody: {\n      type: Boolean,\n      default: false\n    },\n    lockScroll: {\n      type: Boolean,\n      default: true\n    },\n    closeOnPressEscape: {\n      type: Boolean,\n      default: false\n    },\n    closeOnClickModal: {\n      type: Boolean,\n      default: false\n    }\n  },\n  beforeMount: function beforeMount() {\n    this._popupId = 'popup-' + idSeed++;\n    _popupManager2.default.register(this._popupId, this);\n  },\n  beforeDestroy: function beforeDestroy() {\n    _popupManager2.default.deregister(this._popupId);\n    _popupManager2.default.closeModal(this._popupId);\n    this.restoreBodyStyle();\n  },\n  data: function data() {\n    return {\n      opened: false,\n      bodyPaddingRight: null,\n      computedBodyPaddingRight: 0,\n      withoutHiddenClass: true,\n      rendered: false\n    };\n  },\n  watch: {\n    visible: function visible(val) {\n      var _this = this;\n      if (val) {\n        if (this._opening) return;\n        if (!this.rendered) {\n          this.rendered = true;\n          _vue2.default.nextTick(function () {\n            _this.open();\n          });\n        } else {\n          this.open();\n        }\n      } else {\n        this.close();\n      }\n    }\n  },\n  methods: {\n    open: function open(options) {\n      var _this2 = this;\n      if (!this.rendered) {\n        this.rendered = true;\n      }\n      var props = (0, _merge2.default)({}, this.$props || this, options);\n      if (this._closeTimer) {\n        clearTimeout(this._closeTimer);\n        this._closeTimer = null;\n      }\n      clearTimeout(this._openTimer);\n      var openDelay = Number(props.openDelay);\n      if (openDelay > 0) {\n        this._openTimer = setTimeout(function () {\n          _this2._openTimer = null;\n          _this2.doOpen(props);\n        }, openDelay);\n      } else {\n        this.doOpen(props);\n      }\n    },\n    doOpen: function doOpen(props) {\n      if (this.$isServer) return;\n      if (this.willOpen && !this.willOpen()) return;\n      if (this.opened) return;\n      this._opening = true;\n      var dom = this.$el;\n      var modal = props.modal;\n      var zIndex = props.zIndex;\n      if (zIndex) {\n        _popupManager2.default.zIndex = zIndex;\n      }\n      if (modal) {\n        if (this._closing) {\n          _popupManager2.default.closeModal(this._popupId);\n          this._closing = false;\n        }\n        _popupManager2.default.openModal(this._popupId, _popupManager2.default.nextZIndex(), this.modalAppendToBody ? undefined : dom, props.modalClass, props.modalFade);\n        if (props.lockScroll) {\n          this.withoutHiddenClass = !(0, _dom.hasClass)(document.body, 'el-popup-parent--hidden');\n          if (this.withoutHiddenClass) {\n            this.bodyPaddingRight = document.body.style.paddingRight;\n            this.computedBodyPaddingRight = parseInt((0, _dom.getStyle)(document.body, 'paddingRight'), 10);\n          }\n          scrollBarWidth = (0, _scrollbarWidth2.default)();\n          var bodyHasOverflow = document.documentElement.clientHeight < document.body.scrollHeight;\n          var bodyOverflowY = (0, _dom.getStyle)(document.body, 'overflowY');\n          if (scrollBarWidth > 0 && (bodyHasOverflow || bodyOverflowY === 'scroll') && this.withoutHiddenClass) {\n            document.body.style.paddingRight = this.computedBodyPaddingRight + scrollBarWidth + 'px';\n          }\n          (0, _dom.addClass)(document.body, 'el-popup-parent--hidden');\n        }\n      }\n      if (getComputedStyle(dom).position === 'static') {\n        dom.style.position = 'absolute';\n      }\n      dom.style.zIndex = _popupManager2.default.nextZIndex();\n      this.opened = true;\n      this.onOpen && this.onOpen();\n      this.doAfterOpen();\n    },\n    doAfterOpen: function doAfterOpen() {\n      this._opening = false;\n    },\n    close: function close() {\n      var _this3 = this;\n      if (this.willClose && !this.willClose()) return;\n      if (this._openTimer !== null) {\n        clearTimeout(this._openTimer);\n        this._openTimer = null;\n      }\n      clearTimeout(this._closeTimer);\n      var closeDelay = Number(this.closeDelay);\n      if (closeDelay > 0) {\n        this._closeTimer = setTimeout(function () {\n          _this3._closeTimer = null;\n          _this3.doClose();\n        }, closeDelay);\n      } else {\n        this.doClose();\n      }\n    },\n    doClose: function doClose() {\n      this._closing = true;\n      this.onClose && this.onClose();\n      if (this.lockScroll) {\n        setTimeout(this.restoreBodyStyle, 200);\n      }\n      this.opened = false;\n      this.doAfterClose();\n    },\n    doAfterClose: function doAfterClose() {\n      _popupManager2.default.closeModal(this._popupId);\n      this._closing = false;\n    },\n    restoreBodyStyle: function restoreBodyStyle() {\n      if (this.modal && this.withoutHiddenClass) {\n        document.body.style.paddingRight = this.bodyPaddingRight;\n        (0, _dom.removeClass)(document.body, 'el-popup-parent--hidden');\n      }\n      this.withoutHiddenClass = true;\n    }\n  }\n};\nexports.PopupManager = _popupManager2.default;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/popup/index.js?");
-
-/***/ }),
-
-/***/ "./node_modules/element-ui/lib/utils/popup/popup-manager.js":
-/*!******************************************************************!*\
-  !*** ./node_modules/element-ui/lib/utils/popup/popup-manager.js ***!
-  \******************************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
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i < j; i++) {\n      var item = modalStack[i];\n      if (item.id === id) {\n        return;\n      }\n    }\n    var modalDom = getModal();\n    (0, _dom.addClass)(modalDom, 'v-modal');\n    if (this.modalFade && !hasModal) {\n      (0, _dom.addClass)(modalDom, 'v-modal-enter');\n    }\n    if (modalClass) {\n      var classArr = modalClass.trim().split(/\\s+/);\n      classArr.forEach(function (item) {\n        return (0, _dom.addClass)(modalDom, item);\n      });\n    }\n    setTimeout(function () {\n      (0, _dom.removeClass)(modalDom, 'v-modal-enter');\n    }, 200);\n    if (dom && dom.parentNode && dom.parentNode.nodeType !== 11) {\n      dom.parentNode.appendChild(modalDom);\n    } else {\n      document.body.appendChild(modalDom);\n    }\n    if (zIndex) {\n      modalDom.style.zIndex = zIndex;\n    }\n    modalDom.tabIndex = 0;\n    modalDom.style.display = '';\n    this.modalStack.push({\n      id: id,\n      zIndex: zIndex,\n      modalClass: modalClass\n    });\n  },\n  closeModal: function closeModal(id) {\n    var modalStack = this.modalStack;\n    var modalDom = getModal();\n    if (modalStack.length > 0) {\n      var topItem = modalStack[modalStack.length - 1];\n      if (topItem.id === id) {\n        if (topItem.modalClass) {\n          var classArr = topItem.modalClass.trim().split(/\\s+/);\n          classArr.forEach(function (item) {\n            return (0, _dom.removeClass)(modalDom, item);\n          });\n        }\n        modalStack.pop();\n        if (modalStack.length > 0) {\n          modalDom.style.zIndex = modalStack[modalStack.length - 1].zIndex;\n        }\n      } else {\n        for (var i = modalStack.length - 1; i >= 0; i--) {\n          if (modalStack[i].id === id) {\n            modalStack.splice(i, 1);\n            break;\n          }\n        }\n      }\n    }\n    if (modalStack.length === 0) {\n      if (this.modalFade) {\n        (0, _dom.addClass)(modalDom, 'v-modal-leave');\n      }\n      setTimeout(function () {\n        if (modalStack.length === 0) {\n          if (modalDom.parentNode) modalDom.parentNode.removeChild(modalDom);\n          modalDom.style.display = 'none';\n          PopupManager.modalDom = undefined;\n        }\n        (0, _dom.removeClass)(modalDom, 'v-modal-leave');\n      }, 200);\n    }\n  }\n};\nObject.defineProperty(PopupManager, 'zIndex', {\n  configurable: true,\n  get: function get() {\n    if (!hasInitZIndex) {\n      zIndex = zIndex || (_vue2.default.prototype.$ELEMENT || {}).zIndex || 2000;\n      hasInitZIndex = true;\n    }\n    return zIndex;\n  },\n  set: function set(value) {\n    zIndex = value;\n  }\n});\nvar getTopPopup = function getTopPopup() {\n  if (_vue2.default.prototype.$isServer) return;\n  if (PopupManager.modalStack.length > 0) {\n    var topPopup = PopupManager.modalStack[PopupManager.modalStack.length - 1];\n    if (!topPopup) return;\n    var instance = PopupManager.getInstance(topPopup.id);\n    return instance;\n  }\n};\nif (!_vue2.default.prototype.$isServer) {\n  // handle `esc` key when the popup is shown\n  window.addEventListener('keydown', function (event) {\n    if (event.keyCode === 27) {\n      var topPopup = getTopPopup();\n      if (topPopup && topPopup.closeOnPressEscape) {\n        topPopup.handleClose ? topPopup.handleClose() : topPopup.handleAction ? topPopup.handleAction('cancel') : topPopup.close();\n      }\n    }\n  });\n}\nexports[\"default\"] = PopupManager;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/popup/popup-manager.js?");
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-"use strict";
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-eval("\n\nexports.__esModule = true;\nexports.isDef = isDef;\nexports.isKorean = isKorean;\nfunction isDef(val) {\n  return val !== undefined && val !== null;\n}\nfunction isKorean(text) {\n  var reg = /([(\\uAC00-\\uD7AF)|(\\u3130-\\u318F)])+/gi;\n  return reg.test(text);\n}\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/shared.js?");
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-  !*** ./node_modules/element-ui/lib/utils/types.js ***!
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-"use strict";
-eval("\n\nexports.__esModule = true;\nexports.isDefined = exports.isUndefined = exports.isFunction = undefined;\nvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n  return typeof obj;\n} : function (obj) {\n  return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n};\nexports.isString = isString;\nexports.isObject = isObject;\nexports.isHtmlElement = isHtmlElement;\nvar _vue = __webpack_require__(/*! vue */ \"./node_modules/vue/dist/vue.runtime.esm.js\");\nvar _vue2 = _interopRequireDefault(_vue);\nfunction _interopRequireDefault(obj) {\n  return obj && obj.__esModule ? obj : {\n    default: obj\n  };\n}\nfunction isString(obj) {\n  return Object.prototype.toString.call(obj) === '[object String]';\n}\nfunction isObject(obj) {\n  return Object.prototype.toString.call(obj) === '[object Object]';\n}\nfunction isHtmlElement(node) {\n  return node && node.nodeType === Node.ELEMENT_NODE;\n}\n\n/**\n *  - Inspired:\n *    https://github.com/jashkenas/underscore/blob/master/modules/isFunction.js\n */\nvar isFunction = function isFunction(functionToCheck) {\n  var getType = {};\n  return functionToCheck && getType.toString.call(functionToCheck) === '[object Function]';\n};\nif ( true && (typeof Int8Array === 'undefined' ? 'undefined' : _typeof(Int8Array)) !== 'object' && (_vue2.default.prototype.$isServer || typeof document.childNodes !== 'function')) {\n  exports.isFunction = isFunction = function isFunction(obj) {\n    return typeof obj === 'function' || false;\n  };\n}\nexports.isFunction = isFunction;\nvar isUndefined = exports.isUndefined = function isUndefined(val) {\n  return val === void 0;\n};\nvar isDefined = exports.isDefined = function isDefined(val) {\n  return val !== undefined && val !== null;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/types.js?");
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-eval("\n\nexports.__esModule = true;\nexports.isMac = exports.isEmpty = exports.isEqual = exports.arrayEquals = exports.looseEqual = exports.capitalize = exports.kebabCase = exports.autoprefixer = exports.isFirefox = exports.isEdge = exports.isIE = exports.coerceTruthyValueToArray = exports.arrayFind = exports.arrayFindIndex = exports.escapeRegexpString = exports.valueEquals = exports.generateId = exports.getValueByPath = undefined;\nvar _typeof = typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\" ? function (obj) {\n  return typeof obj;\n} : function (obj) {\n  return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n};\nexports.noop = noop;\nexports.hasOwn = hasOwn;\nexports.toObject = toObject;\nexports.getPropByPath = getPropByPath;\nexports.rafThrottle = rafThrottle;\nexports.objToArray = objToArray;\nvar _vue = __webpack_require__(/*! vue */ \"./node_modules/vue/dist/vue.runtime.esm.js\");\nvar _vue2 = _interopRequireDefault(_vue);\nvar _types = __webpack_require__(/*! element-ui/lib/utils/types */ \"./node_modules/element-ui/lib/utils/types.js\");\nfunction _interopRequireDefault(obj) {\n  return obj && obj.__esModule ? obj : {\n    default: obj\n  };\n}\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\nfunction noop() {}\n;\nfunction hasOwn(obj, key) {\n  return hasOwnProperty.call(obj, key);\n}\n;\nfunction extend(to, _from) {\n  for (var key in _from) {\n    to[key] = _from[key];\n  }\n  return to;\n}\n;\nfunction toObject(arr) {\n  var res = {};\n  for (var i = 0; i < arr.length; i++) {\n    if (arr[i]) {\n      extend(res, arr[i]);\n    }\n  }\n  return res;\n}\n;\nvar getValueByPath = exports.getValueByPath = function getValueByPath(object, prop) {\n  prop = prop || '';\n  var paths = prop.split('.');\n  var current = object;\n  var result = null;\n  for (var i = 0, j = paths.length; i < j; i++) {\n    var path = paths[i];\n    if (!current) break;\n    if (i === j - 1) {\n      result = current[path];\n      break;\n    }\n    current = current[path];\n  }\n  return result;\n};\nfunction getPropByPath(obj, path, strict) {\n  var tempObj = obj;\n  path = path.replace(/\\[(\\w+)\\]/g, '.$1');\n  path = path.replace(/^\\./, '');\n  var keyArr = path.split('.');\n  var i = 0;\n  for (var len = keyArr.length; i < len - 1; ++i) {\n    if (!tempObj && !strict) break;\n    var key = keyArr[i];\n    if (key in tempObj) {\n      tempObj = tempObj[key];\n    } else {\n      if (strict) {\n        throw new Error('please transfer a valid prop path to form item!');\n      }\n      break;\n    }\n  }\n  return {\n    o: tempObj,\n    k: keyArr[i],\n    v: tempObj ? tempObj[keyArr[i]] : null\n  };\n}\n;\nvar generateId = exports.generateId = function generateId() {\n  return Math.floor(Math.random() * 10000);\n};\nvar valueEquals = exports.valueEquals = function valueEquals(a, b) {\n  // see: https://stackoverflow.com/questions/3115982/how-to-check-if-two-arrays-are-equal-with-javascript\n  if (a === b) return true;\n  if (!(a instanceof Array)) return false;\n  if (!(b instanceof Array)) return false;\n  if (a.length !== b.length) return false;\n  for (var i = 0; i !== a.length; ++i) {\n    if (a[i] !== b[i]) return false;\n  }\n  return true;\n};\nvar escapeRegexpString = exports.escapeRegexpString = function escapeRegexpString() {\n  var value = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : '';\n  return String(value).replace(/[|\\\\{}()[\\]^$+*?.]/g, '\\\\$&');\n};\n\n// TODO: use native Array.find, Array.findIndex when IE support is dropped\nvar arrayFindIndex = exports.arrayFindIndex = function arrayFindIndex(arr, pred) {\n  for (var i = 0; i !== arr.length; ++i) {\n    if (pred(arr[i])) {\n      return i;\n    }\n  }\n  return -1;\n};\nvar arrayFind = exports.arrayFind = function arrayFind(arr, pred) {\n  var idx = arrayFindIndex(arr, pred);\n  return idx !== -1 ? arr[idx] : undefined;\n};\n\n// coerce truthy value to array\nvar coerceTruthyValueToArray = exports.coerceTruthyValueToArray = function coerceTruthyValueToArray(val) {\n  if (Array.isArray(val)) {\n    return val;\n  } else if (val) {\n    return [val];\n  } else {\n    return [];\n  }\n};\nvar isIE = exports.isIE = function isIE() {\n  return !_vue2.default.prototype.$isServer && !isNaN(Number(document.documentMode));\n};\nvar isEdge = exports.isEdge = function isEdge() {\n  return !_vue2.default.prototype.$isServer && navigator.userAgent.indexOf('Edge') > -1;\n};\nvar isFirefox = exports.isFirefox = function isFirefox() {\n  return !_vue2.default.prototype.$isServer && !!window.navigator.userAgent.match(/firefox/i);\n};\nvar autoprefixer = exports.autoprefixer = function autoprefixer(style) {\n  if ((typeof style === 'undefined' ? 'undefined' : _typeof(style)) !== 'object') return style;\n  var rules = ['transform', 'transition', 'animation'];\n  var prefixes = ['ms-', 'webkit-'];\n  rules.forEach(function (rule) {\n    var value = style[rule];\n    if (rule && value) {\n      prefixes.forEach(function (prefix) {\n        style[prefix + rule] = value;\n      });\n    }\n  });\n  return style;\n};\nvar kebabCase = exports.kebabCase = function kebabCase(str) {\n  var hyphenateRE = /([^-])([A-Z])/g;\n  return str.replace(hyphenateRE, '$1-$2').replace(hyphenateRE, '$1-$2').toLowerCase();\n};\nvar capitalize = exports.capitalize = function capitalize(str) {\n  if (!(0, _types.isString)(str)) return str;\n  return str.charAt(0).toUpperCase() + str.slice(1);\n};\nvar looseEqual = exports.looseEqual = function looseEqual(a, b) {\n  var isObjectA = (0, _types.isObject)(a);\n  var isObjectB = (0, _types.isObject)(b);\n  if (isObjectA && isObjectB) {\n    return JSON.stringify(a) === JSON.stringify(b);\n  } else if (!isObjectA && !isObjectB) {\n    return String(a) === String(b);\n  } else {\n    return false;\n  }\n};\nvar arrayEquals = exports.arrayEquals = function arrayEquals(arrayA, arrayB) {\n  arrayA = arrayA || [];\n  arrayB = arrayB || [];\n  if (arrayA.length !== arrayB.length) {\n    return false;\n  }\n  for (var i = 0; i < arrayA.length; i++) {\n    if (!looseEqual(arrayA[i], arrayB[i])) {\n      return false;\n    }\n  }\n  return true;\n};\nvar isEqual = exports.isEqual = function isEqual(value1, value2) {\n  if (Array.isArray(value1) && Array.isArray(value2)) {\n    return arrayEquals(value1, value2);\n  }\n  return looseEqual(value1, value2);\n};\nvar isEmpty = exports.isEmpty = function isEmpty(val) {\n  // null or undefined\n  if (val == null) return true;\n  if (typeof val === 'boolean') return false;\n  if (typeof val === 'number') return !val;\n  if (val instanceof Error) return val.message === '';\n  switch (Object.prototype.toString.call(val)) {\n    // String or Array\n    case '[object String]':\n    case '[object Array]':\n      return !val.length;\n\n    // Map or Set or File\n    case '[object File]':\n    case '[object Map]':\n    case '[object Set]':\n      {\n        return !val.size;\n      }\n    // Plain Object\n    case '[object Object]':\n      {\n        return !Object.keys(val).length;\n      }\n  }\n  return false;\n};\nfunction rafThrottle(fn) {\n  var locked = false;\n  return function () {\n    var _this = this;\n    for (var _len = arguments.length, args = Array(_len), _key = 0; _key < _len; _key++) {\n      args[_key] = arguments[_key];\n    }\n    if (locked) return;\n    locked = true;\n    window.requestAnimationFrame(function (_) {\n      fn.apply(_this, args);\n      locked = false;\n    });\n  };\n}\nfunction objToArray(obj) {\n  if (Array.isArray(obj)) {\n    return obj;\n  }\n  return isEmpty(obj) ? [] : [obj];\n}\nvar isMac = exports.isMac = function isMac() {\n  return !_vue2.default.prototype.$isServer && /macintosh|mac os x/i.test(navigator.userAgent);\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/util.js?");
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this.updatePopper() : this.destroyPopper();\n      this.$emit('input', val);\n    }\n  },\n  methods: {\n    createPopper: function createPopper() {\n      var _this = this;\n      if (this.$isServer) return;\n      this.currentPlacement = this.currentPlacement || this.placement;\n      if (!/^(top|bottom|left|right)(-start|-end)?$/g.test(this.currentPlacement)) {\n        return;\n      }\n      var options = this.popperOptions;\n      var popper = this.popperElm = this.popperElm || this.popper || this.$refs.popper;\n      var reference = this.referenceElm = this.referenceElm || this.reference || this.$refs.reference;\n      if (!reference && this.$slots.reference && this.$slots.reference[0]) {\n        reference = this.referenceElm = this.$slots.reference[0].elm;\n      }\n      if (!popper || !reference) return;\n      if (this.visibleArrow) this.appendArrow(popper);\n      if (this.appendToBody) document.body.appendChild(this.popperElm);\n      if (this.popperJS && this.popperJS.destroy) {\n        this.popperJS.destroy();\n      }\n      options.placement = this.currentPlacement;\n      options.offset = this.offset;\n      options.arrowOffset = this.arrowOffset;\n      this.popperJS = new PopperJS(reference, popper, options);\n      this.popperJS.onCreate(function (_) {\n        _this.$emit('created', _this);\n        _this.resetTransformOrigin();\n        _this.$nextTick(_this.updatePopper);\n      });\n      if (typeof options.onUpdate === 'function') {\n        this.popperJS.onUpdate(options.onUpdate);\n      }\n      this.popperJS._popper.style.zIndex = _popup.PopupManager.nextZIndex();\n      this.popperElm.addEventListener('click', stop);\n    },\n    updatePopper: function updatePopper() {\n      var popperJS = this.popperJS;\n      if (popperJS) {\n        popperJS.update();\n        if (popperJS._popper) {\n          popperJS._popper.style.zIndex = _popup.PopupManager.nextZIndex();\n        }\n      } else {\n        this.createPopper();\n      }\n    },\n    doDestroy: function doDestroy(forceDestroy) {\n      /* istanbul ignore if */\n      if (!this.popperJS || this.showPopper && !forceDestroy) return;\n      this.popperJS.destroy();\n      this.popperJS = null;\n    },\n    destroyPopper: function destroyPopper() {\n      if (this.popperJS) {\n        this.resetTransformOrigin();\n      }\n    },\n    resetTransformOrigin: function resetTransformOrigin() {\n      if (!this.transformOrigin) return;\n      var placementMap = {\n        top: 'bottom',\n        bottom: 'top',\n        left: 'right',\n        right: 'left'\n      };\n      var placement = this.popperJS._popper.getAttribute('x-placement').split('-')[0];\n      var origin = placementMap[placement];\n      this.popperJS._popper.style.transformOrigin = typeof this.transformOrigin === 'string' ? this.transformOrigin : ['top', 'bottom'].indexOf(placement) > -1 ? 'center ' + origin : origin + ' center';\n    },\n    appendArrow: function appendArrow(element) {\n      var hash = void 0;\n      if (this.appended) {\n        return;\n      }\n      this.appended = true;\n      for (var item in element.attributes) {\n        if (/^_v-/.test(element.attributes[item].name)) {\n          hash = element.attributes[item].name;\n          break;\n        }\n      }\n      var arrow = document.createElement('div');\n      if (hash) {\n        arrow.setAttribute(hash, '');\n      }\n      arrow.setAttribute('x-arrow', '');\n      arrow.className = 'popper__arrow';\n      element.appendChild(arrow);\n    }\n  },\n  beforeDestroy: function beforeDestroy() {\n    this.doDestroy(true);\n    if (this.popperElm && this.popperElm.parentNode === document.body) {\n      this.popperElm.removeEventListener('click', stop);\n      document.body.removeChild(this.popperElm);\n    }\n  },\n  // call destroy in keep-alive mode\n  deactivated: function deactivated() {\n    this.$options.beforeDestroy[0].call(this);\n  }\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/element-ui/lib/utils/vue-popper.js?");
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-eval("/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\nvar __WEBPACK_AMD_DEFINE_FACTORY__, __WEBPACK_AMD_DEFINE_ARRAY__, __WEBPACK_AMD_DEFINE_RESULT__;(function (a, b) {\n  if (true) !(__WEBPACK_AMD_DEFINE_ARRAY__ = [], __WEBPACK_AMD_DEFINE_FACTORY__ = (b),\n\t\t__WEBPACK_AMD_DEFINE_RESULT__ = (typeof __WEBPACK_AMD_DEFINE_FACTORY__ === 'function' ?\n\t\t(__WEBPACK_AMD_DEFINE_FACTORY__.apply(exports, __WEBPACK_AMD_DEFINE_ARRAY__)) : __WEBPACK_AMD_DEFINE_FACTORY__),\n\t\t__WEBPACK_AMD_DEFINE_RESULT__ !== undefined && (module.exports = __WEBPACK_AMD_DEFINE_RESULT__));else {}\n})(this, function () {\n  \"use strict\";\n\n  function b(a, b) {\n    return \"undefined\" == typeof b ? b = {\n      autoBom: !1\n    } : \"object\" != typeof b && (console.warn(\"Deprecated: Expected third argument to be a object\"), b = {\n      autoBom: !b\n    }), b.autoBom && /^\\s*(?:text\\/\\S*|application\\/xml|\\S*\\/\\S*\\+xml)\\s*;.*charset\\s*=\\s*utf-8/i.test(a.type) ? new Blob([\"\\uFEFF\", a], {\n      type: a.type\n    }) : a;\n  }\n  function c(a, b, c) {\n    var d = new XMLHttpRequest();\n    d.open(\"GET\", a), d.responseType = \"blob\", d.onload = function () {\n      g(d.response, b, c);\n    }, d.onerror = function () {\n      console.error(\"could not download file\");\n    }, d.send();\n  }\n  function d(a) {\n    var b = new XMLHttpRequest();\n    b.open(\"HEAD\", a, !1);\n    try {\n      b.send();\n    } catch (a) {}\n    return 200 <= b.status && 299 >= b.status;\n  }\n  function e(a) {\n    try {\n      a.dispatchEvent(new MouseEvent(\"click\"));\n    } catch (c) {\n      var b = document.createEvent(\"MouseEvents\");\n      b.initMouseEvent(\"click\", !0, !0, window, 0, 0, 0, 80, 20, !1, !1, !1, !1, 0, null), a.dispatchEvent(b);\n    }\n  }\n  var f = \"object\" == typeof window && window.window === window ? window : \"object\" == typeof self && self.self === self ? self : \"object\" == typeof __webpack_require__.g && __webpack_require__.g.global === __webpack_require__.g ? __webpack_require__.g : void 0,\n    a = f.navigator && /Macintosh/.test(navigator.userAgent) && /AppleWebKit/.test(navigator.userAgent) && !/Safari/.test(navigator.userAgent),\n    g = f.saveAs || (\"object\" != typeof window || window !== f ? function () {} : \"download\" in HTMLAnchorElement.prototype && !a ? function (b, g, h) {\n      var i = f.URL || f.webkitURL,\n        j = document.createElement(\"a\");\n      g = g || b.name || \"download\", j.download = g, j.rel = \"noopener\", \"string\" == typeof b ? (j.href = b, j.origin === location.origin ? e(j) : d(j.href) ? c(b, g, h) : e(j, j.target = \"_blank\")) : (j.href = i.createObjectURL(b), setTimeout(function () {\n        i.revokeObjectURL(j.href);\n      }, 4E4), setTimeout(function () {\n        e(j);\n      }, 0));\n    } : \"msSaveOrOpenBlob\" in navigator ? function (f, g, h) {\n      if (g = g || f.name || \"download\", \"string\" != typeof f) navigator.msSaveOrOpenBlob(b(f, h), g);else if (d(f)) c(f, g, h);else {\n        var i = document.createElement(\"a\");\n        i.href = f, i.target = \"_blank\", setTimeout(function () {\n          e(i);\n        });\n      }\n    } : function (b, d, e, g) {\n      if (g = g || open(\"\", \"_blank\"), g && (g.document.title = g.document.body.innerText = \"downloading...\"), \"string\" == typeof b) return c(b, d, e);\n      var h = \"application/octet-stream\" === b.type,\n        i = /constructor/i.test(f.HTMLElement) || f.safari,\n        j = /CriOS\\/[\\d]+/.test(navigator.userAgent);\n      if ((j || h && i || a) && \"undefined\" != typeof FileReader) {\n        var k = new FileReader();\n        k.onloadend = function () {\n          var a = k.result;\n          a = j ? a : a.replace(/^data:[^;]*;/, \"data:attachment/file;\"), g ? g.location.href = a : location = a, g = null;\n        }, k.readAsDataURL(b);\n      } else {\n        var l = f.URL || f.webkitURL,\n          m = l.createObjectURL(b);\n        g ? g.location = m : location.href = m, g = null, setTimeout(function () {\n          l.revokeObjectURL(m);\n        }, 4E4);\n      }\n    });\n  f.saveAs = g.saveAs = g,  true && (module.exports = g);\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/file-saver/dist/FileSaver.min.js?");
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-eval("\n\nvar isCallable = __webpack_require__(/*! is-callable */ \"./node_modules/is-callable/index.js\");\nvar toStr = Object.prototype.toString;\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\nvar forEachArray = function forEachArray(array, iterator, receiver) {\n  for (var i = 0, len = array.length; i < len; i++) {\n    if (hasOwnProperty.call(array, i)) {\n      if (receiver == null) {\n        iterator(array[i], i, array);\n      } else {\n        iterator.call(receiver, array[i], i, array);\n      }\n    }\n  }\n};\nvar forEachString = function forEachString(string, iterator, receiver) {\n  for (var i = 0, len = string.length; i < len; i++) {\n    // no such thing as a sparse string.\n    if (receiver == null) {\n      iterator(string.charAt(i), i, string);\n    } else {\n      iterator.call(receiver, string.charAt(i), i, string);\n    }\n  }\n};\nvar forEachObject = function forEachObject(object, iterator, receiver) {\n  for (var k in object) {\n    if (hasOwnProperty.call(object, k)) {\n      if (receiver == null) {\n        iterator(object[k], k, object);\n      } else {\n        iterator.call(receiver, object[k], k, object);\n      }\n    }\n  }\n};\nvar forEach = function forEach(list, iterator, thisArg) {\n  if (!isCallable(iterator)) {\n    throw new TypeError('iterator must be a function');\n  }\n  var receiver;\n  if (arguments.length >= 3) {\n    receiver = thisArg;\n  }\n  if (toStr.call(list) === '[object Array]') {\n    forEachArray(list, iterator, receiver);\n  } else if (typeof list === 'string') {\n    forEachString(list, iterator, receiver);\n  } else {\n    forEachObject(list, iterator, receiver);\n  }\n};\nmodule.exports = forEach;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/for-each/index.js?");
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-/***/ }),
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-/***/ "./node_modules/form-data/lib/browser.js":
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-  !*** ./node_modules/form-data/lib/browser.js ***!
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-/***/ "./node_modules/function-bind/implementation.js":
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-  !*** ./node_modules/function-bind/implementation.js ***!
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-eval("\n\n/* eslint no-invalid-this: 1 */\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\nvar ERROR_MESSAGE = 'Function.prototype.bind called on incompatible ';\nvar slice = Array.prototype.slice;\nvar toStr = Object.prototype.toString;\nvar funcType = '[object Function]';\nmodule.exports = function bind(that) {\n  var target = this;\n  if (typeof target !== 'function' || toStr.call(target) !== funcType) {\n    throw new TypeError(ERROR_MESSAGE + target);\n  }\n  var args = slice.call(arguments, 1);\n  var bound;\n  var binder = function () {\n    if (this instanceof bound) {\n      var result = target.apply(this, args.concat(slice.call(arguments)));\n      if (Object(result) === result) {\n        return result;\n      }\n      return this;\n    } else {\n      return target.apply(that, args.concat(slice.call(arguments)));\n    }\n  };\n  var boundLength = Math.max(0, target.length - args.length);\n  var boundArgs = [];\n  for (var i = 0; i < boundLength; i++) {\n    boundArgs.push('$' + i);\n  }\n  bound = Function('binder', 'return function (' + boundArgs.join(',') + '){ return binder.apply(this,arguments); }')(binder);\n  if (target.prototype) {\n    var Empty = function Empty() {};\n    Empty.prototype = target.prototype;\n    bound.prototype = new Empty();\n    Empty.prototype = null;\n  }\n  return bound;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/function-bind/implementation.js?");
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JSON : undefined,\n  '%Map%': typeof Map === 'undefined' ? undefined : Map,\n  '%MapIteratorPrototype%': typeof Map === 'undefined' || !hasSymbols ? undefined : getProto(new Map()[Symbol.iterator]()),\n  '%Math%': Math,\n  '%Number%': Number,\n  '%Object%': Object,\n  '%parseFloat%': parseFloat,\n  '%parseInt%': parseInt,\n  '%Promise%': typeof Promise === 'undefined' ? undefined : Promise,\n  '%Proxy%': typeof Proxy === 'undefined' ? undefined : Proxy,\n  '%RangeError%': RangeError,\n  '%ReferenceError%': ReferenceError,\n  '%Reflect%': typeof Reflect === 'undefined' ? undefined : Reflect,\n  '%RegExp%': RegExp,\n  '%Set%': typeof Set === 'undefined' ? undefined : Set,\n  '%SetIteratorPrototype%': typeof Set === 'undefined' || !hasSymbols ? undefined : getProto(new Set()[Symbol.iterator]()),\n  '%SharedArrayBuffer%': typeof SharedArrayBuffer === 'undefined' ? undefined : SharedArrayBuffer,\n  '%String%': String,\n  '%StringIteratorPrototype%': hasSymbols ? getProto(''[Symbol.iterator]()) : undefined,\n  '%Symbol%': hasSymbols ? 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function-bind */ \"./node_modules/function-bind/index.js\");\nvar hasOwn = __webpack_require__(/*! has */ \"./node_modules/has/src/index.js\");\nvar $concat = bind.call(Function.call, Array.prototype.concat);\nvar $spliceApply = bind.call(Function.apply, Array.prototype.splice);\nvar $replace = bind.call(Function.call, String.prototype.replace);\nvar $strSlice = bind.call(Function.call, String.prototype.slice);\nvar $exec = bind.call(Function.call, RegExp.prototype.exec);\n\n/* adapted from https://github.com/lodash/lodash/blob/4.17.15/dist/lodash.js#L6735-L6744 */\nvar rePropName = /[^%.[\\]]+|\\[(?:(-?\\d+(?:\\.\\d+)?)|([\"'])((?:(?!\\2)[^\\\\]|\\\\.)*?)\\2)\\]|(?=(?:\\.|\\[\\])(?:\\.|\\[\\]|%$))/g;\nvar reEscapeChar = /\\\\(\\\\)?/g; /** Used to match backslashes in property paths. */\nvar stringToPath = function stringToPath(string) {\n  var first = $strSlice(string, 0, 1);\n  var last = $strSlice(string, -1);\n  if (first === '%' && last !== '%') {\n    throw new $SyntaxError('invalid intrinsic syntax, expected closing `%`');\n  } else if (last === '%' && first !== '%') {\n    throw new $SyntaxError('invalid intrinsic syntax, expected opening `%`');\n  }\n  var result = [];\n  $replace(string, rePropName, function (match, number, quote, subString) {\n    result[result.length] = quote ? $replace(subString, reEscapeChar, '$1') : number || match;\n  });\n  return result;\n};\n/* end adaptation */\n\nvar getBaseIntrinsic = function getBaseIntrinsic(name, allowMissing) {\n  var intrinsicName = name;\n  var alias;\n  if (hasOwn(LEGACY_ALIASES, intrinsicName)) {\n    alias = LEGACY_ALIASES[intrinsicName];\n    intrinsicName = '%' + alias[0] + '%';\n  }\n  if (hasOwn(INTRINSICS, intrinsicName)) {\n    var value = INTRINSICS[intrinsicName];\n    if (value === needsEval) {\n      value = doEval(intrinsicName);\n    }\n    if (typeof value === 'undefined' && !allowMissing) {\n      throw new $TypeError('intrinsic ' + name + ' exists, but is not available. Please file an issue!');\n    }\n    return {\n      alias: alias,\n      name: intrinsicName,\n      value: value\n    };\n  }\n  throw new $SyntaxError('intrinsic ' + name + ' does not exist!');\n};\nmodule.exports = function GetIntrinsic(name, allowMissing) {\n  if (typeof name !== 'string' || name.length === 0) {\n    throw new $TypeError('intrinsic name must be a non-empty string');\n  }\n  if (arguments.length > 1 && typeof allowMissing !== 'boolean') {\n    throw new $TypeError('\"allowMissing\" argument must be a boolean');\n  }\n  if ($exec(/^%?[^%]*%?$/, name) === null) {\n    throw new $SyntaxError('`%` may not be present anywhere but at the beginning and end of the intrinsic name');\n  }\n  var parts = stringToPath(name);\n  var intrinsicBaseName = parts.length > 0 ? parts[0] : '';\n  var intrinsic = getBaseIntrinsic('%' + intrinsicBaseName + '%', allowMissing);\n  var intrinsicRealName = intrinsic.name;\n  var value = intrinsic.value;\n  var skipFurtherCaching = false;\n  var alias = intrinsic.alias;\n  if (alias) {\n    intrinsicBaseName = alias[0];\n    $spliceApply(parts, $concat([0, 1], alias));\n  }\n  for (var i = 1, isOwn = true; i < parts.length; i += 1) {\n    var part = parts[i];\n    var first = $strSlice(part, 0, 1);\n    var last = $strSlice(part, -1);\n    if ((first === '\"' || first === \"'\" || first === '`' || last === '\"' || last === \"'\" || last === '`') && first !== last) {\n      throw new $SyntaxError('property names with quotes must have matching quotes');\n    }\n    if (part === 'constructor' || !isOwn) {\n      skipFurtherCaching = true;\n    }\n    intrinsicBaseName += '.' + part;\n    intrinsicRealName = '%' + intrinsicBaseName + '%';\n    if (hasOwn(INTRINSICS, intrinsicRealName)) {\n      value = INTRINSICS[intrinsicRealName];\n    } else if (value != null) {\n      if (!(part in value)) {\n        if (!allowMissing) {\n          throw new $TypeError('base intrinsic for ' + name + ' exists, but the property is not available.');\n        }\n        return void undefined;\n      }\n      if ($gOPD && i + 1 >= parts.length) {\n        var desc = $gOPD(value, part);\n        isOwn = !!desc;\n\n        // By convention, when a data property is converted to an accessor\n        // property to emulate a data property that does not suffer from\n        // the override mistake, that accessor's getter is marked with\n        // an `originalValue` property. Here, when we detect this, we\n        // uphold the illusion by pretending to see that original data\n        // property, i.e., returning the value rather than the getter\n        // itself.\n        if (isOwn && 'get' in desc && !('originalValue' in desc.get)) {\n          value = desc.get;\n        } else {\n          value = value[part];\n        }\n      } else {\n        isOwn = hasOwn(value, part);\n        value = value[part];\n      }\n      if (isOwn && !skipFurtherCaching) {\n        INTRINSICS[intrinsicRealName] = value;\n      }\n    }\n  }\n  return value;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/get-intrinsic/index.js?");
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-/***/ "./node_modules/has-property-descriptors/index.js":
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-  !*** ./node_modules/has-symbols/index.js ***!
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-/***/ "./node_modules/has-symbols/shams.js":
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-  !*** ./node_modules/has-symbols/shams.js ***!
-  \*******************************************/
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-"use strict";
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-/***/ "./node_modules/has-tostringtag/shams.js":
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-  !*** ./node_modules/has-tostringtag/shams.js ***!
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-  !*** ./node_modules/ieee754/index.js ***!
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-eval("/*! ieee754. BSD-3-Clause License. Feross Aboukhadijeh <https://feross.org/opensource> */\nexports.read = function (buffer, offset, isLE, mLen, nBytes) {\n  var e, m;\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var nBits = -7;\n  var i = isLE ? nBytes - 1 : 0;\n  var d = isLE ? -1 : 1;\n  var s = buffer[offset + i];\n  i += d;\n  e = s & (1 << -nBits) - 1;\n  s >>= -nBits;\n  nBits += eLen;\n  for (; nBits > 0; e = e * 256 + buffer[offset + i], i += d, nBits -= 8) {}\n  m = e & (1 << -nBits) - 1;\n  e >>= -nBits;\n  nBits += mLen;\n  for (; nBits > 0; m = m * 256 + buffer[offset + i], i += d, nBits -= 8) {}\n  if (e === 0) {\n    e = 1 - eBias;\n  } else if (e === eMax) {\n    return m ? NaN : (s ? -1 : 1) * Infinity;\n  } else {\n    m = m + Math.pow(2, mLen);\n    e = e - eBias;\n  }\n  return (s ? -1 : 1) * m * Math.pow(2, e - mLen);\n};\nexports.write = function (buffer, value, offset, isLE, mLen, nBytes) {\n  var e, m, c;\n  var eLen = nBytes * 8 - mLen - 1;\n  var eMax = (1 << eLen) - 1;\n  var eBias = eMax >> 1;\n  var rt = mLen === 23 ? Math.pow(2, -24) - Math.pow(2, -77) : 0;\n  var i = isLE ? 0 : nBytes - 1;\n  var d = isLE ? 1 : -1;\n  var s = value < 0 || value === 0 && 1 / value < 0 ? 1 : 0;\n  value = Math.abs(value);\n  if (isNaN(value) || value === Infinity) {\n    m = isNaN(value) ? 1 : 0;\n    e = eMax;\n  } else {\n    e = Math.floor(Math.log(value) / Math.LN2);\n    if (value * (c = Math.pow(2, -e)) < 1) {\n      e--;\n      c *= 2;\n    }\n    if (e + eBias >= 1) {\n      value += rt / c;\n    } else {\n      value += rt * Math.pow(2, 1 - eBias);\n    }\n    if (value * c >= 2) {\n      e++;\n      c /= 2;\n    }\n    if (e + eBias >= eMax) {\n      m = 0;\n      e = eMax;\n    } else if (e + eBias >= 1) {\n      m = (value * c - 1) * Math.pow(2, mLen);\n      e = e + eBias;\n    } else {\n      m = value * Math.pow(2, eBias - 1) * Math.pow(2, mLen);\n      e = 0;\n    }\n  }\n  for (; mLen >= 8; buffer[offset + i] = m & 0xff, i += d, m /= 256, mLen -= 8) {}\n  e = e << mLen | m;\n  eLen += mLen;\n  for (; eLen > 0; buffer[offset + i] = e & 0xff, i += d, e /= 256, eLen -= 8) {}\n  buffer[offset + i - d] |= s * 128;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/ieee754/index.js?");
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s=0;s<a;s++)t[o][s]=$e(e[o][s],n[o][s],r);}}(p,h[i],u[i],d):c?(Ge(p,h[i],u[i],d),r||(t[s]=en(p))):(b=void 0,b=this.interpolable?$e(h[i],u[i],d):function(t,e,n){return n>.5?e:t;}(h[i],u[i],d),r?this._additiveValue=b:t[s]=b);r&&this._addToTarget(t);}}}},t.prototype._addToTarget=function(t){var e=this.arrDim,n=this.propName,r=this._additiveValue;0===e?this.isValueColor?(Be(t[n],an),We(an,an,r,1),t[n]=en(an)):t[n]=t[n]+r:1===e?We(t[n],t[n],r,1):2===e&&Xe(t[n],t[n],r,1);},t;}(),sn=function(){function t(t,e,n){this._tracks={},this._trackKeys=[],this._delay=0,this._maxTime=0,this._paused=!1,this._started=0,this._clip=null,this._target=t,this._loop=e,e&&n?w(\"Can' use additive animation on looped animation.\"):this._additiveAnimators=n;}return t.prototype.getTarget=function(){return this._target;},t.prototype.changeTarget=function(t){this._target=t;},t.prototype.when=function(t,e){return this.whenWithKeys(t,e,R(e));},t.prototype.whenWithKeys=function(t,e,n){for(var r=this._tracks,i=0;i<n.length;i++){var a=n[i],o=r[a];if(!o){o=r[a]=new on(a);var s=void 0,l=this._getAdditiveTrack(a);if(l){var c=l.keyframes[l.keyframes.length-1];s=c&&c.value,l.isValueColor&&s&&(s=en(s));}else s=this._target[a];if(null==s)continue;0!==t&&o.addKeyframe(0,tn(s)),this._trackKeys.push(a);}o.addKeyframe(t,tn(e[a]));}return this._maxTime=Math.max(this._maxTime,t),this;},t.prototype.pause=function(){this._clip.pause(),this._paused=!0;},t.prototype.resume=function(){this._clip.resume(),this._paused=!1;},t.prototype.isPaused=function(){return!!this._paused;},t.prototype._doneCallback=function(){this._setTracksFinished(),this._clip=null;var t=this._doneCbs;if(t)for(var e=t.length,n=0;n<e;n++)t[n].call(this);},t.prototype._abortedCallback=function(){this._setTracksFinished();var t=this.animation,e=this._abortedCbs;if(t&&t.removeClip(this._clip),this._clip=null,e)for(var n=0;n<e.length;n++)e[n].call(this);},t.prototype._setTracksFinished=function(){for(var t=this._tracks,e=this._trackKeys,n=0;n<e.length;n++)t[e[n]].setFinished();},t.prototype._getAdditiveTrack=function(t){var e,n=this._additiveAnimators;if(n)for(var r=0;r<n.length;r++){var i=n[r].getTrack(t);i&&(e=i);}return e;},t.prototype.start=function(t,e){if(!(this._started>0)){this._started=1;for(var n=this,r=[],i=0;i<this._trackKeys.length;i++){var a=this._trackKeys[i],o=this._tracks[a],s=this._getAdditiveTrack(a),l=o.keyframes;if(o.prepare(s),o.needsAnimate())r.push(o);else if(!o.interpolable){var c=l[l.length-1];c&&(n._target[o.propName]=c.value);}}if(r.length||e){var u=new be({life:this._maxTime,loop:this._loop,delay:this._delay,onframe:function(t){n._started=2;var e=n._additiveAnimators;if(e){for(var i=!1,a=0;a<e.length;a++)if(e[a]._clip){i=!0;break;}i||(n._additiveAnimators=null);}for(a=0;a<r.length;a++)r[a].step(n._target,t);var o=n._onframeCbs;if(o)for(a=0;a<o.length;a++)o[a](n._target,t);},ondestroy:function(){n._doneCallback();}});this._clip=u,this.animation&&this.animation.addClip(u),t&&\"spline\"!==t&&(u.easing=t);}else this._doneCallback();return this;}},t.prototype.stop=function(t){if(this._clip){var e=this._clip;t&&e.onframe(1),this._abortedCallback();}},t.prototype.delay=function(t){return this._delay=t,this;},t.prototype.during=function(t){return t&&(this._onframeCbs||(this._onframeCbs=[]),this._onframeCbs.push(t)),this;},t.prototype.done=function(t){return t&&(this._doneCbs||(this._doneCbs=[]),this._doneCbs.push(t)),this;},t.prototype.aborted=function(t){return t&&(this._abortedCbs||(this._abortedCbs=[]),this._abortedCbs.push(t)),this;},t.prototype.getClip=function(){return this._clip;},t.prototype.getTrack=function(t){return this._tracks[t];},t.prototype.stopTracks=function(t,e){if(!t.length||!this._clip)return!0;for(var n=this._tracks,r=this._trackKeys,i=0;i<t.length;i++){var a=n[t[i]];a&&(e?a.step(this._target,1):1===this._started&&a.step(this._target,0),a.setFinished());}var o=!0;for(i=0;i<r.length;i++)if(!n[r[i]].isFinished()){o=!1;break;}return o&&this._abortedCallback(),o;},t.prototype.saveFinalToTarget=function(t,e){if(t){e=e||this._trackKeys;for(var n=0;n<e.length;n++){var r=e[n],i=this._tracks[r];if(i&&!i.isFinished()){var a=i.keyframes,o=a[a.length-1];if(o){var s=tn(o.value);i.isValueColor&&(s=en(s)),t[r]=s;}}}}},t.prototype.__changeFinalValue=function(t,e){e=e||R(t);for(var n=0;n<e.length;n++){var r=e[n],i=this._tracks[r];if(i){var a=i.keyframes;if(a.length>1){var o=a.pop();i.addKeyframe(o.time,t[r]),i.prepare(i.getAdditiveTrack());}}}},t;}(),ln=function(t){function e(e){var n=t.call(this)||this;return n._running=!1,n._time=0,n._pausedTime=0,n._pauseStart=0,n._paused=!1,e=e||{},n.stage=e.stage||{},n.onframe=e.onframe||function(){},n;}return n(e,t),e.prototype.addClip=function(t){t.animation&&this.removeClip(t),this._clipsHead?(this._clipsTail.next=t,t.prev=this._clipsTail,t.next=null,this._clipsTail=t):this._clipsHead=this._clipsTail=t,t.animation=this;},e.prototype.addAnimator=function(t){t.animation=this;var e=t.getClip();e&&this.addClip(e);},e.prototype.removeClip=function(t){if(t.animation){var e=t.prev,n=t.next;e?e.next=n:this._clipsHead=n,n?n.prev=e:this._clipsTail=e,t.next=t.prev=t.animation=null;}},e.prototype.removeAnimator=function(t){var e=t.getClip();e&&this.removeClip(e),t.animation=null;},e.prototype.update=function(t){for(var e=new Date().getTime()-this._pausedTime,n=e-this._time,r=this._clipsHead;r;){var i=r.next;r.step(e,n)?(r.ondestroy&&r.ondestroy(),this.removeClip(r),r=i):r=i;}this._time=e,t||(this.onframe(n),this.trigger(\"frame\",n),this.stage.update&&this.stage.update());},e.prototype._startLoop=function(){var t=this;this._running=!0,ye(function e(){t._running&&(ye(e),!t._paused&&t.update());});},e.prototype.start=function(){this._running||(this._time=new Date().getTime(),this._pausedTime=0,this._startLoop());},e.prototype.stop=function(){this._running=!1;},e.prototype.pause=function(){this._paused||(this._pauseStart=new Date().getTime(),this._paused=!0);},e.prototype.resume=function(){this._paused&&(this._pausedTime+=new Date().getTime()-this._pauseStart,this._paused=!1);},e.prototype.clear=function(){for(var t=this._clipsHead;t;){var e=t.next;t.prev=t.next=t.animation=null,t=e;}this._clipsHead=this._clipsTail=null;},e.prototype.isFinished=function(){return null==this._clipsHead;},e.prototype.animate=function(t,e){e=e||{},this.start();var n=new sn(t,e.loop);return this.addAnimator(n),n;},e;}(Rt),cn=o.domSupported,un=(rn={pointerdown:1,pointerup:1,pointermove:1,pointerout:1},{mouse:nn=[\"click\",\"dblclick\",\"mousewheel\",\"wheel\",\"mouseout\",\"mouseup\",\"mousedown\",\"mousemove\",\"contextmenu\"],touch:[\"touchstart\",\"touchend\",\"touchmove\"],pointer:I(nn,function(t){var e=t.replace(\"mouse\",\"pointer\");return rn.hasOwnProperty(e)?e:t;})}),hn=[\"mousemove\",\"mouseup\"],fn=[\"pointermove\",\"pointerup\"],dn=!1;function pn(t){var e=t.pointerType;return\"pen\"===e||\"touch\"===e;}function mn(t){t&&(t.zrByTouch=!0);}function gn(t,e){for(var n=e,r=!1;n&&9!==n.nodeType&&!(r=n.domBelongToZr||n!==e&&n===t.painterRoot);)n=n.parentNode;return r;}var yn=function(t,e){this.stopPropagation=dt,this.stopImmediatePropagation=dt,this.preventDefault=dt,this.type=e.type,this.target=this.currentTarget=t.dom,this.pointerType=e.pointerType,this.clientX=e.clientX,this.clientY=e.clientY;},vn={mousedown:function(t){t=Wt(this.dom,t),this.__mayPointerCapture=[t.zrX,t.zrY],this.trigger(\"mousedown\",t);},mousemove:function(t){t=Wt(this.dom,t);var e=this.__mayPointerCapture;!e||t.zrX===e[0]&&t.zrY===e[1]||this.__togglePointerCapture(!0),this.trigger(\"mousemove\",t);},mouseup:function(t){t=Wt(this.dom,t),this.__togglePointerCapture(!1),this.trigger(\"mouseup\",t);},mouseout:function(t){gn(this,(t=Wt(this.dom,t)).toElement||t.relatedTarget)||(this.__pointerCapturing&&(t.zrEventControl=\"no_globalout\"),this.trigger(\"mouseout\",t));},wheel:function(t){dn=!0,t=Wt(this.dom,t),this.trigger(\"mousewheel\",t);},mousewheel:function(t){dn||(t=Wt(this.dom,t),this.trigger(\"mousewheel\",t));},touchstart:function(t){mn(t=Wt(this.dom,t)),this.__lastTouchMoment=new Date(),this.handler.processGesture(t,\"start\"),vn.mousemove.call(this,t),vn.mousedown.call(this,t);},touchmove:function(t){mn(t=Wt(this.dom,t)),this.handler.processGesture(t,\"change\"),vn.mousemove.call(this,t);},touchend:function(t){mn(t=Wt(this.dom,t)),this.handler.processGesture(t,\"end\"),vn.mouseup.call(this,t),+new 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n=e.domHandlers;o.pointerEventsSupported?O(un.pointer,function(r){wn(e,r,function(e){n[r].call(t,e);});}):(o.touchEventsSupported&&O(un.touch,function(r){wn(e,r,function(i){n[r].call(t,i),function(t){t.touching=!0,null!=t.touchTimer&&(clearTimeout(t.touchTimer),t.touchTimer=null),t.touchTimer=setTimeout(function(){t.touching=!1,t.touchTimer=null;},700);}(e);});}),O(un.mouse,function(r){wn(e,r,function(i){i=Gt(i),e.touching||n[r].call(t,i);});}));}function xn(t,e){function n(n){wn(e,n,function(r){r=Gt(r),gn(t,r.target)||(r=function(t,e){return Wt(t.dom,new yn(t,e),!0);}(t,r),e.domHandlers[n].call(t,r));},{capture:!0});}o.pointerEventsSupported?O(fn,n):o.touchEventsSupported||O(hn,n);}function wn(t,e,n,r){t.mounted[e]=n,t.listenerOpts[e]=r,function(t,e,n,r){Ut?t.addEventListener(e,n,r):t.attachEvent(\"on\"+e,n);}(t.domTarget,e,n,r);}function kn(t){var e,n,r,i,a=t.mounted;for(var o in a)a.hasOwnProperty(o)&&(e=t.domTarget,n=o,r=a[o],i=t.listenerOpts[o],Ut?e.removeEventListener(n,r,i):e.detachEvent(\"on\"+n,r));t.mounted={};}var Sn=function(t,e){this.mounted={},this.listenerOpts={},this.touching=!1,this.domTarget=t,this.domHandlers=e;},Cn=function(t){function e(e,n){var r=t.call(this)||this;return r.__pointerCapturing=!1,r.dom=e,r.painterRoot=n,r._localHandlerScope=new Sn(e,vn),cn&&(r._globalHandlerScope=new Sn(document,bn)),_n(r,r._localHandlerScope),r;}return n(e,t),e.prototype.dispose=function(){kn(this._localHandlerScope),cn&&kn(this._globalHandlerScope);},e.prototype.setCursor=function(t){this.dom.style&&(this.dom.style.cursor=t||\"default\");},e.prototype.__togglePointerCapture=function(t){if(this.__mayPointerCapture=null,cn&&+this.__pointerCapturing^+t){this.__pointerCapturing=t;var e=this._globalHandlerScope;t?xn(this,e):kn(e);}},e;}(Rt),Mn=1;\"undefined\"!=typeof 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n=e[0],r=e[2],i=e[4],a=e[1],o=e[3],s=e[5],l=n*o-a*r;return l?(l=1/l,t[0]=o*l,t[1]=-a*l,t[2]=-r*l,t[3]=n*l,t[4]=(r*s-o*i)*l,t[5]=(a*i-n*s)*l,t):null;}var Pn=Object.freeze({__proto__:null,create:Nn,identity:Dn,copy:On,mul:In,translate:Ln,rotate:Bn,scale:Rn,invert:zn,clone:function(t){var e=[1,0,0,1,0,0];return On(e,t),e;}}),Fn=Dn,qn=5e-5;function jn(t){return t>qn||t<-5e-5;}var Un,Hn,Vn=[],Yn=[],$n=[1,0,0,1,0,0],Gn=Math.abs,Wn=function(){function t(){}return t.prototype.getLocalTransform=function(e){return t.getLocalTransform(this,e);},t.prototype.setPosition=function(t){this.x=t[0],this.y=t[1];},t.prototype.setScale=function(t){this.scaleX=t[0],this.scaleY=t[1];},t.prototype.setSkew=function(t){this.skewX=t[0],this.skewY=t[1];},t.prototype.setOrigin=function(t){this.originX=t[0],this.originY=t[1];},t.prototype.needLocalTransform=function(){return jn(this.rotation)||jn(this.x)||jn(this.y)||jn(this.scaleX-1)||jn(this.scaleY-1);},t.prototype.updateTransform=function(){var t=this.parent&&this.parent.transform,e=this.needLocalTransform(),n=this.transform;e||t?(n=n||[1,0,0,1,0,0],e?this.getLocalTransform(n):Fn(n),t&&(e?In(n,t,n):On(n,t)),this.transform=n,this._resolveGlobalScaleRatio(n)):n&&Fn(n);},t.prototype._resolveGlobalScaleRatio=function(t){var e=this.globalScaleRatio;if(null!=e&&1!==e){this.getGlobalScale(Vn);var n=Vn[0]<0?-1:1,r=Vn[1]<0?-1:1,i=((Vn[0]-n)*e+n)/Vn[0]||0,a=((Vn[1]-r)*e+r)/Vn[1]||0;t[0]*=i,t[1]*=i,t[2]*=a,t[3]*=a;}this.invTransform=this.invTransform||[1,0,0,1,0,0],zn(this.invTransform,t);},t.prototype.getComputedTransform=function(){for(var t=this,e=[];t;)e.push(t),t=t.parent;for(;t=e.pop();)t.updateTransform();return this.transform;},t.prototype.setLocalTransform=function(t){if(t){var e=t[0]*t[0]+t[1]*t[1],n=t[2]*t[2]+t[3]*t[3],r=Math.atan2(t[1],t[0]),i=Math.PI/2+r-Math.atan2(t[3],t[2]);n=Math.sqrt(n)*Math.cos(i),e=Math.sqrt(e),this.skewX=i,this.skewY=0,this.rotation=-r,this.x=+t[4],this.y=+t[5],this.scaleX=e,this.scaleY=n,this.originX=0,this.originY=0;}},t.prototype.decomposeTransform=function(){if(this.transform){var t=this.parent,e=this.transform;t&&t.transform&&(In(Yn,t.invTransform,e),e=Yn);var n=this.originX,r=this.originY;(n||r)&&($n[4]=n,$n[5]=r,In(Yn,e,$n),Yn[4]-=n,Yn[5]-=r,e=Yn),this.setLocalTransform(e);}},t.prototype.getGlobalScale=function(t){var e=this.transform;return t=t||[],e?(t[0]=Math.sqrt(e[0]*e[0]+e[1]*e[1]),t[1]=Math.sqrt(e[2]*e[2]+e[3]*e[3]),e[0]<0&&(t[0]=-t[0]),e[3]<0&&(t[1]=-t[1]),t):(t[0]=1,t[1]=1,t);},t.prototype.transformCoordToLocal=function(t,e){var n=[t,e],r=this.invTransform;return r&&Nt(n,n,r),n;},t.prototype.transformCoordToGlobal=function(t,e){var n=[t,e],r=this.transform;return r&&Nt(n,n,r),n;},t.prototype.getLineScale=function(){var t=this.transform;return t&&Gn(t[0]-1)>1e-10&&Gn(t[3]-1)>1e-10?Math.sqrt(Gn(t[0]*t[3]-t[2]*t[1])):1;},t.prototype.copyTransform=function(t){for(var e=0;e<Xn.length;e++){var n=Xn[e];this[n]=t[n];}},t.getLocalTransform=function(t,e){e=e||[];var n=t.originX||0,r=t.originY||0,i=t.scaleX,a=t.scaleY,o=t.rotation||0,s=t.x,l=t.y,c=t.skewX?Math.tan(t.skewX):0,u=t.skewY?Math.tan(-t.skewY):0;return n||r?(e[4]=-n*i-c*r*a,e[5]=-r*a-u*n*i):e[4]=e[5]=0,e[0]=i,e[3]=a,e[1]=u*i,e[2]=c*a,o&&Bn(e,e,o),e[4]+=n+s,e[5]+=r+l,e;},t.initDefaultProps=function(){var e=t.prototype;e.x=0,e.y=0,e.scaleX=1,e.scaleY=1,e.originX=0,e.originY=0,e.skewX=0,e.skewY=0,e.rotation=0,e.globalScaleRatio=1;}(),t;}(),Xn=[\"x\",\"y\",\"originX\",\"originY\",\"rotation\",\"scaleX\",\"scaleY\",\"skewX\",\"skewY\"],Zn=function(){function t(t,e){this.x=t||0,this.y=e||0;}return t.prototype.copy=function(t){return this.x=t.x,this.y=t.y,this;},t.prototype.clone=function(){return new 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e=this.x,n=this.y;return this.x=t[0]*e+t[2]*n+t[4],this.y=t[1]*e+t[3]*n+t[5],this;}},t.prototype.toArray=function(t){return t[0]=this.x,t[1]=this.y,t;},t.prototype.fromArray=function(t){this.x=t[0],this.y=t[1];},t.set=function(t,e,n){t.x=e,t.y=n;},t.copy=function(t,e){t.x=e.x,t.y=e.y;},t.len=function(t){return Math.sqrt(t.x*t.x+t.y*t.y);},t.lenSquare=function(t){return t.x*t.x+t.y*t.y;},t.dot=function(t,e){return t.x*e.x+t.y*e.y;},t.add=function(t,e,n){t.x=e.x+n.x,t.y=e.y+n.y;},t.sub=function(t,e,n){t.x=e.x-n.x,t.y=e.y-n.y;},t.scale=function(t,e,n){t.x=e.x*n,t.y=e.y*n;},t.scaleAndAdd=function(t,e,n,r){t.x=e.x+n.x*r,t.y=e.y+n.y*r;},t.lerp=function(t,e,n,r){var i=1-r;t.x=i*e.x+r*n.x,t.y=i*e.y+r*n.y;},t;}(),Kn=Math.min,Qn=Math.max,Jn=new Zn(),tr=new Zn(),er=new Zn(),nr=new Zn(),rr=new Zn(),ir=new Zn(),ar=function(){function t(t,e,n,r){n<0&&(t+=n,n=-n),r<0&&(e+=r,r=-r),this.x=t,this.y=e,this.width=n,this.height=r;}return t.prototype.union=function(t){var e=Kn(t.x,this.x),n=Kn(t.y,this.y);isFinite(this.x)&&isFinite(this.width)?this.width=Qn(t.x+t.width,this.x+this.width)-e:this.width=t.width,isFinite(this.y)&&isFinite(this.height)?this.height=Qn(t.y+t.height,this.y+this.height)-n:this.height=t.height,this.x=e,this.y=n;},t.prototype.applyTransform=function(e){t.applyTransform(this,this,e);},t.prototype.calculateTransform=function(t){var e=this,n=t.width/e.width,r=t.height/e.height,i=[1,0,0,1,0,0];return Ln(i,i,[-e.x,-e.y]),Rn(i,i,[n,r]),Ln(i,i,[t.x,t.y]),i;},t.prototype.intersect=function(e,n){if(!e)return!1;e instanceof t||(e=t.create(e));var r=this,i=r.x,a=r.x+r.width,o=r.y,s=r.y+r.height,l=e.x,c=e.x+e.width,u=e.y,h=e.y+e.height,f=!(a<l||c<i||s<u||h<o);if(n){var d=1/0,p=0,m=Math.abs(a-l),g=Math.abs(c-i),y=Math.abs(s-u),v=Math.abs(h-o),b=Math.min(m,g),_=Math.min(y,v);a<l||c<i?b>p&&(p=b,m<g?Zn.set(ir,-m,0):Zn.set(ir,g,0)):b<d&&(d=b,m<g?Zn.set(rr,m,0):Zn.set(rr,-g,0)),s<u||h<o?_>p&&(p=_,y<v?Zn.set(ir,0,-y):Zn.set(ir,0,v)):b<d&&(d=b,y<v?Zn.set(rr,0,y):Zn.set(rr,0,-v));}return n&&Zn.copy(n,f?rr:ir),f;},t.prototype.contain=function(t,e){var n=this;return t>=n.x&&t<=n.x+n.width&&e>=n.y&&e<=n.y+n.height;},t.prototype.clone=function(){return new t(this.x,this.y,this.width,this.height);},t.prototype.copy=function(e){t.copy(this,e);},t.prototype.plain=function(){return{x:this.x,y:this.y,width:this.width,height:this.height};},t.prototype.isFinite=function(){return isFinite(this.x)&&isFinite(this.y)&&isFinite(this.width)&&isFinite(this.height);},t.prototype.isZero=function(){return 0===this.width||0===this.height;},t.create=function(e){return new t(e.x,e.y,e.width,e.height);},t.copy=function(t,e){t.x=e.x,t.y=e.y,t.width=e.width,t.height=e.height;},t.applyTransform=function(e,n,r){if(r){if(r[1]<1e-5&&r[1]>-1e-5&&r[2]<1e-5&&r[2]>-1e-5){var i=r[0],a=r[3],o=r[4],s=r[5];return e.x=n.x*i+o,e.y=n.y*a+s,e.width=n.width*i,e.height=n.height*a,e.width<0&&(e.x+=e.width,e.width=-e.width),void(e.height<0&&(e.y+=e.height,e.height=-e.height));}Jn.x=er.x=n.x,Jn.y=nr.y=n.y,tr.x=nr.x=n.x+n.width,tr.y=er.y=n.y+n.height,Jn.transform(r),nr.transform(r),tr.transform(r),er.transform(r),e.x=Kn(Jn.x,tr.x,er.x,nr.x),e.y=Kn(Jn.y,tr.y,er.y,nr.y);var l=Qn(Jn.x,tr.x,er.x,nr.x),c=Qn(Jn.y,tr.y,er.y,nr.y);e.width=l-e.x,e.height=c-e.y;}else e!==n&&t.copy(e,n);},t;}(),or={},sr=\"12px sans-serif\",lr={measureText:function(t,e){return Un||(Un=T().getContext(\"2d\")),Hn!==e&&(Hn=Un.font=e||sr),Un.measureText(t);}};function cr(t,e){var n=or[e=e||sr];n||(n=or[e]=new we(500));var r=n.get(t);return null==r&&(r=lr.measureText(t,e).width,n.put(t,r)),r;}function ur(t,e,n,r){var i=cr(t,e),a=pr(e),o=fr(0,i,n),s=dr(0,a,r);return new ar(o,s,i,a);}function hr(t,e,n,r){var i=((t||\"\")+\"\").split(\"\\n\");if(1===i.length)return ur(i[0],e,n,r);for(var a=new ar(0,0,0,0),o=0;o<i.length;o++){var s=ur(i[o],e,n,r);0===o?a.copy(s):a.union(s);}return a;}function fr(t,e,n){return\"right\"===n?t-=e:\"center\"===n&&(t-=e/2),t;}function dr(t,e,n){return\"middle\"===n?t-=e/2:\"bottom\"===n&&(t-=e),t;}function pr(t){return cr(\"国\",t);}function mr(t,e){return\"string\"==typeof t?t.lastIndexOf(\"%\")>=0?parseFloat(t)/100*e:parseFloat(t):t;}function gr(t,e,n){var r=e.position||\"inside\",i=null!=e.distance?e.distance:5,a=n.height,o=n.width,s=a/2,l=n.x,c=n.y,u=\"left\",h=\"top\";if(r instanceof Array)l+=mr(r[0],n.width),c+=mr(r[1],n.height),u=null,h=null;else switch(r){case\"left\":l-=i,c+=s,u=\"right\",h=\"middle\";break;case\"right\":l+=i+o,c+=s,h=\"middle\";break;case\"top\":l+=o/2,c-=i,u=\"center\",h=\"bottom\";break;case\"bottom\":l+=o/2,c+=a+i,u=\"center\";break;case\"inside\":l+=o/2,c+=s,u=\"center\",h=\"middle\";break;case\"insideLeft\":l+=i,c+=s,h=\"middle\";break;case\"insideRight\":l+=o-i,c+=s,u=\"right\",h=\"middle\";break;case\"insideTop\":l+=o/2,c+=i,u=\"center\";break;case\"insideBottom\":l+=o/2,c+=a-i,u=\"center\",h=\"bottom\";break;case\"insideTopLeft\":l+=i,c+=i;break;case\"insideTopRight\":l+=o-i,c+=i,u=\"right\";break;case\"insideBottomLeft\":l+=i,c+=a-i,h=\"bottom\";break;case\"insideBottomRight\":l+=o-i,c+=a-i,u=\"right\",h=\"bottom\";}return(t=t||{}).x=l,t.y=c,t.align=u,t.verticalAlign=h,t;}var yr=\"__zr_normal__\",vr=[\"x\",\"y\",\"scaleX\",\"scaleY\",\"originX\",\"originY\",\"rotation\",\"ignore\"],br={x:!0,y:!0,scaleX:!0,scaleY:!0,originX:!0,originY:!0,rotation:!0,ignore:!1},_r={},xr=new ar(0,0,0,0),wr=function(){function t(t){this.id=x(),this.animators=[],this.currentStates=[],this.states={},this._init(t);}return t.prototype._init=function(t){this.attr(t);},t.prototype.drift=function(t,e,n){switch(this.draggable){case\"horizontal\":e=0;break;case\"vertical\":t=0;}var r=this.transform;r||(r=this.transform=[1,0,0,1,0,0]),r[4]+=t,r[5]+=e,this.decomposeTransform(),this.markRedraw();},t.prototype.beforeUpdate=function(){},t.prototype.afterUpdate=function(){},t.prototype.update=function(){this.updateTransform(),this.__dirty&&this.updateInnerText();},t.prototype.updateInnerText=function(t){var e=this._textContent;if(e&&(!e.ignore||t)){this.textConfig||(this.textConfig={});var n=this.textConfig,r=n.local,i=e.innerTransformable,a=void 0,o=void 0,s=!1;i.parent=r?this:null;var l=!1;if(i.copyTransform(e),null!=n.position){var c=xr;n.layoutRect?c.copy(n.layoutRect):c.copy(this.getBoundingRect()),r||c.applyTransform(this.transform),this.calculateTextPosition?this.calculateTextPosition(_r,n,c):gr(_r,n,c),i.x=_r.x,i.y=_r.y,a=_r.align,o=_r.verticalAlign;var u=n.origin;if(u&&null!=n.rotation){var h=void 0,f=void 0;\"center\"===u?(h=.5*c.width,f=.5*c.height):(h=mr(u[0],c.width),f=mr(u[1],c.height)),l=!0,i.originX=-i.x+h+(r?0:c.x),i.originY=-i.y+f+(r?0:c.y);}}null!=n.rotation&&(i.rotation=n.rotation);var d=n.offset;d&&(i.x+=d[0],i.y+=d[1],l||(i.originX=-d[0],i.originY=-d[1]));var p=null==n.inside?\"string\"==typeof n.position&&n.position.indexOf(\"inside\")>=0:n.inside,m=this._innerTextDefaultStyle||(this._innerTextDefaultStyle={}),g=void 0,y=void 0,v=void 0;p&&this.canBeInsideText()?(g=n.insideFill,y=n.insideStroke,null!=g&&\"auto\"!==g||(g=this.getInsideTextFill()),null!=y&&\"auto\"!==y||(y=this.getInsideTextStroke(g),v=!0)):(g=n.outsideFill,y=n.outsideStroke,null!=g&&\"auto\"!==g||(g=this.getOutsideFill()),null!=y&&\"auto\"!==y||(y=this.getOutsideStroke(g),v=!0)),(g=g||\"#000\")===m.fill&&y===m.stroke&&v===m.autoStroke&&a===m.align&&o===m.verticalAlign||(s=!0,m.fill=g,m.stroke=y,m.autoStroke=v,m.align=a,m.verticalAlign=o,e.setDefaultTextStyle(m)),e.__dirty|=1,s&&e.dirtyStyle(!0);}},t.prototype.canBeInsideText=function(){return!0;},t.prototype.getInsideTextFill=function(){return\"#fff\";},t.prototype.getInsideTextStroke=function(t){return\"#000\";},t.prototype.getOutsideFill=function(){return this.__zr&&this.__zr.isDarkMode()?En:An;},t.prototype.getOutsideStroke=function(t){var e=this.__zr&&this.__zr.getBackgroundColor(),n=\"string\"==typeof e&&Be(e);n||(n=[255,255,255,1]);for(var r=n[3],i=this.__zr.isDarkMode(),a=0;a<3;a++)n[a]=n[a]*r+(i?0:255)*(1-r);return n[3]=1,Ue(n,\"rgba\");},t.prototype.traverse=function(t,e){},t.prototype.attrKV=function(t,e){\"textConfig\"===t?this.setTextConfig(e):\"textContent\"===t?this.setTextContent(e):\"clipPath\"===t?this.setClipPath(e):\"extra\"===t?(this.extra=this.extra||{},C(this.extra,e)):this[t]=e;},t.prototype.hide=function(){this.ignore=!0,this.markRedraw();},t.prototype.show=function(){this.ignore=!1,this.markRedraw();},t.prototype.attr=function(t,e){if(\"string\"==typeof t)this.attrKV(t,e);else if(V(t))for(var n=R(t),r=0;r<n.length;r++){var i=n[r];this.attrKV(i,t[i]);}return this.markRedraw(),this;},t.prototype.saveCurrentToNormalState=function(t){this._innerSaveToNormal(t);for(var e=this._normalState,n=0;n<this.animators.length;n++){var r=this.animators[n],i=r.__fromStateTransition;if(!i||i===yr){var a=r.targetName,o=a?e[a]:e;r.saveFinalToTarget(o);}}},t.prototype._innerSaveToNormal=function(t){var e=this._normalState;e||(e=this._normalState={}),t.textConfig&&!e.textConfig&&(e.textConfig=this.textConfig),this._savePrimaryToNormal(t,e,vr);},t.prototype._savePrimaryToNormal=function(t,e,n){for(var r=0;r<n.length;r++){var i=n[r];null==t[i]||i in e||(e[i]=this[i]);}},t.prototype.hasState=function(){return this.currentStates.length>0;},t.prototype.getState=function(t){return this.states[t];},t.prototype.ensureState=function(t){var e=this.states;return e[t]||(e[t]={}),e[t];},t.prototype.clearStates=function(t){this.useState(yr,!1,t);},t.prototype.useState=function(t,e,n,r){var i=t===yr;if(this.hasState()||!i){var a=this.currentStates,o=this.stateTransition;if(!(A(a,t)>=0)||!e&&1!==a.length){var s;if(this.stateProxy&&!i&&(s=this.stateProxy(t)),s||(s=this.states&&this.states[t]),s||i){i||this.saveCurrentToNormalState(s);var l=!!(s&&s.hoverLayer||r);l&&this._toggleHoverLayerFlag(!0),this._applyStateObj(t,s,this._normalState,e,!n&&!this.__inHover&&o&&o.duration>0,o);var c=this._textContent,u=this._textGuide;return c&&c.useState(t,e,n,l),u&&u.useState(t,e,n,l),i?(this.currentStates=[],this._normalState={}):e?this.currentStates.push(t):this.currentStates=[t],this._updateAnimationTargets(),this.markRedraw(),!l&&this.__inHover&&(this._toggleHoverLayerFlag(!1),this.__dirty&=-2),s;}w(\"State \"+t+\" not exists.\");}}},t.prototype.useStates=function(t,e,n){if(t.length){var r=[],i=this.currentStates,a=t.length,o=a===i.length;if(o)for(var s=0;s<a;s++)if(t[s]!==i[s]){o=!1;break;}if(o)return;for(s=0;s<a;s++){var l=t[s],c=void 0;this.stateProxy&&(c=this.stateProxy(l,t)),c||(c=this.states[l]),c&&r.push(c);}var u=r[a-1],h=!!(u&&u.hoverLayer||n);h&&this._toggleHoverLayerFlag(!0);var f=this._mergeStates(r),d=this.stateTransition;this.saveCurrentToNormalState(f),this._applyStateObj(t.join(\",\"),f,this._normalState,!1,!e&&!this.__inHover&&d&&d.duration>0,d);var p=this._textContent,m=this._textGuide;p&&p.useStates(t,e,h),m&&m.useStates(t,e,h),this._updateAnimationTargets(),this.currentStates=t.slice(),this.markRedraw(),!h&&this.__inHover&&(this._toggleHoverLayerFlag(!1),this.__dirty&=-2);}else this.clearStates();},t.prototype._updateAnimationTargets=function(){for(var t=0;t<this.animators.length;t++){var e=this.animators[t];e.targetName&&e.changeTarget(this[e.targetName]);}},t.prototype.removeState=function(t){var e=A(this.currentStates,t);if(e>=0){var n=this.currentStates.slice();n.splice(e,1),this.useStates(n);}},t.prototype.replaceState=function(t,e,n){var r=this.currentStates.slice(),i=A(r,t),a=A(r,e)>=0;i>=0?a?r.splice(i,1):r[i]=e:n&&!a&&r.push(e),this.useStates(r);},t.prototype.toggleState=function(t,e){e?this.useState(t,!0):this.removeState(t);},t.prototype._mergeStates=function(t){for(var e,n={},r=0;r<t.length;r++){var i=t[r];C(n,i),i.textConfig&&C(e=e||{},i.textConfig);}return e&&(n.textConfig=e),n;},t.prototype._applyStateObj=function(t,e,n,r,i,a){var o=!(e&&r);e&&e.textConfig?(this.textConfig=C({},r?this.textConfig:n.textConfig),C(this.textConfig,e.textConfig)):o&&n.textConfig&&(this.textConfig=n.textConfig);for(var s={},l=!1,c=0;c<vr.length;c++){var u=vr[c],h=i&&br[u];e&&null!=e[u]?h?(l=!0,s[u]=e[u]):this[u]=e[u]:o&&null!=n[u]&&(h?(l=!0,s[u]=n[u]):this[u]=n[u]);}if(!i)for(c=0;c<this.animators.length;c++){var f=this.animators[c],d=f.targetName;f.__changeFinalValue(d?(e||n)[d]:e||n);}l&&this._transitionState(t,s,a);},t.prototype._attachComponent=function(t){if(t.__zr&&!t.__hostTarget)throw new Error(\"Text element has been added to zrender.\");if(t===this)throw new Error(\"Recursive component attachment.\");var e=this.__zr;e&&t.addSelfToZr(e),t.__zr=e,t.__hostTarget=this;},t.prototype._detachComponent=function(t){t.__zr&&t.removeSelfFromZr(t.__zr),t.__zr=null,t.__hostTarget=null;},t.prototype.getClipPath=function(){return this._clipPath;},t.prototype.setClipPath=function(t){this._clipPath&&this._clipPath!==t&&this.removeClipPath(),this._attachComponent(t),this._clipPath=t,this.markRedraw();},t.prototype.removeClipPath=function(){var t=this._clipPath;t&&(this._detachComponent(t),this._clipPath=null,this.markRedraw());},t.prototype.getTextContent=function(){return this._textContent;},t.prototype.setTextContent=function(t){var e=this._textContent;if(e!==t){if(e&&e!==t&&this.removeTextContent(),t.__zr&&!t.__hostTarget)throw new Error(\"Text element has been added to zrender.\");t.innerTransformable=new Wn(),this._attachComponent(t),this._textContent=t,this.markRedraw();}},t.prototype.setTextConfig=function(t){this.textConfig||(this.textConfig={}),C(this.textConfig,t),this.markRedraw();},t.prototype.removeTextConfig=function(){this.textConfig=null,this.markRedraw();},t.prototype.removeTextContent=function(){var 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Sa(t,e,n,r){var i=1-r;return i*(i*t+2*r*e)+r*r*n;}function Ca(t,e,n,r){return 2*((1-r)*(e-t)+r*(n-e));}function Ma(t,e,n){var r=t+n-2*e;return 0===r?.5:(t-e)/r;}function Ta(t,e,n,r,i){var a=(e-t)*r+t,o=(n-e)*r+e,s=(o-a)*r+a;i[0]=t,i[1]=a,i[2]=s,i[3]=s,i[4]=o,i[5]=n;}function Aa(t,e,n,r,i,a,o){for(var s=t,l=e,c=0,u=1/o,h=1;h<=o;h++){var f=h*u,d=Sa(t,n,i,f),p=Sa(e,r,a,f),m=d-s,g=p-l;c+=Math.sqrt(m*m+g*g),s=d,l=p;}return c;}var Ea=Math.min,Na=Math.max,Da=Math.sin,Oa=Math.cos,Ia=2*Math.PI,La=mt(),Ba=mt(),Ra=mt();function za(t,e,n){if(0!==t.length){for(var r=t[0],i=r[0],a=r[0],o=r[1],s=r[1],l=1;l<t.length;l++)r=t[l],i=Ea(i,r[0]),a=Na(a,r[0]),o=Ea(o,r[1]),s=Na(s,r[1]);e[0]=i,e[1]=o,n[0]=a,n[1]=s;}}function Pa(t,e,n,r,i,a){i[0]=Ea(t,n),i[1]=Ea(e,r),a[0]=Na(t,n),a[1]=Na(e,r);}var Fa=[],qa=[];function ja(t,e,n,r,i,a,o,s,l,c){var u=xa,h=va,f=u(t,n,i,o,Fa);l[0]=1/0,l[1]=1/0,c[0]=-1/0,c[1]=-1/0;for(var d=0;d<f;d++){var 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Va={M:1,L:2,C:3,Q:4,A:5,Z:6,R:7},Ya=[],$a=[],Ga=[],Wa=[],Xa=[],Za=[],Ka=Math.min,Qa=Math.max,Ja=Math.cos,to=Math.sin,eo=Math.sqrt,no=Math.abs,ro=Math.PI,io=2*ro,ao=\"undefined\"!=typeof Float32Array,oo=[];function so(t){return Math.round(t/ro*1e8)/1e8%2*ro;}function lo(t,e){var n=so(t[0]);n<0&&(n+=io);var r=n-t[0],i=t[1];i+=r,!e&&i-n>=io?i=n+io:e&&n-i>=io?i=n-io:!e&&n>i?i=n+(io-so(n-i)):e&&n<i&&(i=n-(io-so(i-n))),t[0]=n,t[1]=i;}var co=function(){function t(t){this.dpr=1,this._xi=0,this._yi=0,this._x0=0,this._y0=0,this._len=0,t&&(this._saveData=!1),this._saveData&&(this.data=[]);}return t.prototype.increaseVersion=function(){this._version++;},t.prototype.getVersion=function(){return this._version;},t.prototype.setScale=function(t,e,n){(n=n||0)>0&&(this._ux=no(n/Tn/t)||0,this._uy=no(n/Tn/e)||0);},t.prototype.setDPR=function(t){this.dpr=t;},t.prototype.setContext=function(t){this._ctx=t;},t.prototype.getContext=function(){return this._ctx;},t.prototype.beginPath=function(){return this._ctx&&this._ctx.beginPath(),this.reset(),this;},t.prototype.reset=function(){this._saveData&&(this._len=0),this._lineDash&&(this._lineDash=null,this._dashOffset=0),this._pathSegLen&&(this._pathSegLen=null,this._pathLen=0),this._version++;},t.prototype.moveTo=function(t,e){return this._drawPendingPt(),this.addData(Va.M,t,e),this._ctx&&this._ctx.moveTo(t,e),this._x0=t,this._y0=e,this._xi=t,this._yi=e,this;},t.prototype.lineTo=function(t,e){var n=no(t-this._xi),r=no(e-this._yi),i=n>this._ux||r>this._uy;if(this.addData(Va.L,t,e),this._ctx&&i&&(this._needsDash?this._dashedLineTo(t,e):this._ctx.lineTo(t,e)),i)this._xi=t,this._yi=e,this._pendingPtDist=0;else{var a=n*n+r*r;a>this._pendingPtDist&&(this._pendingPtX=t,this._pendingPtY=e,this._pendingPtDist=a);}return this;},t.prototype.bezierCurveTo=function(t,e,n,r,i,a){return this._drawPendingPt(),this.addData(Va.C,t,e,n,r,i,a),this._ctx&&(this._needsDash?this._dashedBezierTo(t,e,n,r,i,a):this._ctx.bezierCurveTo(t,e,n,r,i,a)),this._xi=i,this._yi=a,this;},t.prototype.quadraticCurveTo=function(t,e,n,r){return this._drawPendingPt(),this.addData(Va.Q,t,e,n,r),this._ctx&&(this._needsDash?this._dashedQuadraticTo(t,e,n,r):this._ctx.quadraticCurveTo(t,e,n,r)),this._xi=n,this._yi=r,this;},t.prototype.arc=function(t,e,n,r,i,a){this._drawPendingPt(),oo[0]=r,oo[1]=i,lo(oo,a),r=oo[0];var o=(i=oo[1])-r;return this.addData(Va.A,t,e,n,n,r,o,0,a?0:1),this._ctx&&this._ctx.arc(t,e,n,r,i,a),this._xi=Ja(i)*n+t,this._yi=to(i)*n+e,this;},t.prototype.arcTo=function(t,e,n,r,i){return this._drawPendingPt(),this._ctx&&this._ctx.arcTo(t,e,n,r,i),this;},t.prototype.rect=function(t,e,n,r){return this._drawPendingPt(),this._ctx&&this._ctx.rect(t,e,n,r),this.addData(Va.R,t,e,n,r),this;},t.prototype.closePath=function(){this._drawPendingPt(),this.addData(Va.Z);var t=this._ctx,e=this._x0,n=this._y0;return t&&(this._needsDash&&this._dashedLineTo(e,n),t.closePath()),this._xi=e,this._yi=n,this;},t.prototype.fill=function(t){t&&t.fill(),this.toStatic();},t.prototype.stroke=function(t){t&&t.stroke(),this.toStatic();},t.prototype.setLineDash=function(t){if(t instanceof Array){this._lineDash=t,this._dashIdx=0;for(var e=0,n=0;n<t.length;n++)e+=t[n];this._dashSum=e,this._needsDash=!0;}else this._lineDash=null,this._needsDash=!1;return this;},t.prototype.setLineDashOffset=function(t){return this._dashOffset=t,this;},t.prototype.len=function(){return this._len;},t.prototype.setData=function(t){var e=t.length;this.data&&this.data.length===e||!ao||(this.data=new Float32Array(e));for(var n=0;n<e;n++)this.data[n]=t[n];this._len=e;},t.prototype.appendPath=function(t){t instanceof Array||(t=[t]);for(var e=t.length,n=0,r=this._len,i=0;i<e;i++)n+=t[i].len();for(ao&&this.data instanceof Float32Array&&(this.data=new Float32Array(r+n)),i=0;i<e;i++)for(var a=t[i].data,o=0;o<a.length;o++)this.data[r++]=a[o];this._len=r;},t.prototype.addData=function(t,e,n,r,i,a,o,s,l){if(this._saveData){var c=this.data;this._len+arguments.length>c.length&&(this._expandData(),c=this.data);for(var u=0;u<arguments.length;u++)c[this._len++]=arguments[u];}},t.prototype._drawPendingPt=function(){this._pendingPtDist>0&&(this._ctx&&this._ctx.lineTo(this._pendingPtX,this._pendingPtY),this._pendingPtDist=0);},t.prototype._expandData=function(){if(!(this.data instanceof Array)){for(var t=[],e=0;e<this._len;e++)t[e]=this.data[e];this.data=t;}},t.prototype._dashedLineTo=function(t,e){var n,r,i=this._dashSum,a=this._lineDash,o=this._ctx,s=this._dashOffset,l=this._xi,c=this._yi,u=t-l,h=e-c,f=eo(u*u+h*h),d=l,p=c,m=a.length;for(s<0&&(s=i+s),d-=(s%=i)*(u/=f),p-=s*(h/=f);u>0&&d<=t||u<0&&d>=t||0===u&&(h>0&&p<=e||h<0&&p>=e);)d+=u*(n=a[r=this._dashIdx]),p+=h*n,this._dashIdx=(r+1)%m,u>0&&d<l||u<0&&d>l||h>0&&p<c||h<0&&p>c||o[r%2?\"moveTo\":\"lineTo\"](u>=0?Ka(d,t):Qa(d,t),h>=0?Ka(p,e):Qa(p,e));u=d-t,h=p-e,this._dashOffset=-eo(u*u+h*h);},t.prototype._dashedBezierTo=function(t,e,n,r,i,a){var o,s,l,c,u,h=this._ctx,f=this._dashSum,d=this._dashOffset,p=this._lineDash,m=this._xi,g=this._yi,y=0,v=this._dashIdx,b=p.length,_=0;for(d<0&&(d=f+d),d%=f,o=0;o<1;o+=.1)s=va(m,t,n,i,o+.1)-va(m,t,n,i,o),l=va(g,e,r,a,o+.1)-va(g,e,r,a,o),y+=eo(s*s+l*l);for(;v<b&&!((_+=p[v])>d);v++);for(o=(_-d)/y;o<=1;)c=va(m,t,n,i,o),u=va(g,e,r,a,o),v%2?h.moveTo(c,u):h.lineTo(c,u),o+=p[v]/y,v=(v+1)%b;v%2!=0&&h.lineTo(i,a),s=i-c,l=a-u,this._dashOffset=-eo(s*s+l*l);},t.prototype._dashedQuadraticTo=function(t,e,n,r){var i=n,a=r;n=(n+2*t)/3,r=(r+2*e)/3,t=(this._xi+2*t)/3,e=(this._yi+2*e)/3,this._dashedBezierTo(t,e,n,r,i,a);},t.prototype.toStatic=function(){if(this._saveData){this._drawPendingPt();var t=this.data;t instanceof Array&&(t.length=this._len,ao&&this._len>11&&(this.data=new Float32Array(t)));}},t.prototype.getBoundingRect=function(){Ga[0]=Ga[1]=Xa[0]=Xa[1]=Number.MAX_VALUE,Wa[0]=Wa[1]=Za[0]=Za[1]=-Number.MAX_VALUE;var t,e=this.data,n=0,r=0,i=0,a=0;for(t=0;t<this._len;){var o=e[t++],s=1===t;switch(s&&(i=n=e[t],a=r=e[t+1]),o){case Va.M:n=i=e[t++],r=a=e[t++],Xa[0]=i,Xa[1]=a,Za[0]=i,Za[1]=a;break;case Va.L:Pa(n,r,e[t],e[t+1],Xa,Za),n=e[t++],r=e[t++];break;case Va.C:ja(n,r,e[t++],e[t++],e[t++],e[t++],e[t],e[t+1],Xa,Za),n=e[t++],r=e[t++];break;case Va.Q:Ua(n,r,e[t++],e[t++],e[t],e[t+1],Xa,Za),n=e[t++],r=e[t++];break;case Va.A:var l=e[t++],c=e[t++],u=e[t++],h=e[t++],f=e[t++],d=e[t++]+f;t+=1;var p=!e[t++];s&&(i=Ja(f)*u+l,a=to(f)*h+c),Ha(l,c,u,h,f,d,p,Xa,Za),n=Ja(d)*u+l,r=to(d)*h+c;break;case Va.R:Pa(i=n=e[t++],a=r=e[t++],i+e[t++],a+e[t++],Xa,Za);break;case Va.Z:n=i,r=a;}Dt(Ga,Ga,Xa),Ot(Wa,Wa,Za);}return 0===t&&(Ga[0]=Ga[1]=Wa[0]=Wa[1]=0),new ar(Ga[0],Ga[1],Wa[0]-Ga[0],Wa[1]-Ga[1]);},t.prototype._calculateLength=function(){var t=this.data,e=this._len,n=this._ux,r=this._uy,i=0,a=0,o=0,s=0;this._pathSegLen||(this._pathSegLen=[]);for(var l=this._pathSegLen,c=0,u=0,h=0;h<e;){var f=t[h++],d=1===h;d&&(o=i=t[h],s=a=t[h+1]);var p=-1;switch(f){case 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Va.M:n=i=f[_++],r=a=f[_++],t.moveTo(i,a);break;case Va.L:o=f[_++],s=f[_++];var k=no(o-i),S=no(s-a);if(k>d||S>p){if(g){if(y+(W=l[v++])>c){var C=(c-y)/W;t.lineTo(i*(1-C)+o*C,a*(1-C)+s*C);break t;}y+=W;}t.lineTo(o,s),i=o,a=s,b=0;}else{var M=k*k+S*S;M>b&&(u=o,h=s,b=M);}break;case Va.C:var T=f[_++],A=f[_++],E=f[_++],N=f[_++],D=f[_++],O=f[_++];if(g){if(y+(W=l[v++])>c){wa(i,T,E,D,C=(c-y)/W,Ya),wa(a,A,N,O,C,$a),t.bezierCurveTo(Ya[1],$a[1],Ya[2],$a[2],Ya[3],$a[3]);break t;}y+=W;}t.bezierCurveTo(T,A,E,N,D,O),i=D,a=O;break;case Va.Q:if(T=f[_++],A=f[_++],E=f[_++],N=f[_++],g){if(y+(W=l[v++])>c){Ta(i,T,E,C=(c-y)/W,Ya),Ta(a,A,N,C,$a),t.quadraticCurveTo(Ya[1],$a[1],Ya[2],$a[2]);break t;}y+=W;}t.quadraticCurveTo(T,A,E,N),i=E,a=N;break;case Va.A:var I=f[_++],L=f[_++],B=f[_++],R=f[_++],z=f[_++],P=f[_++],F=f[_++],q=!f[_++],j=B>R?B:R,U=no(B-R)>.001,H=z+P,V=!1;if(g&&(y+(W=l[v++])>c&&(H=z+P*(c-y)/W,V=!0),y+=W),U&&t.ellipse?t.ellipse(I,L,B,R,F,z,H,q):t.arc(I,L,j,z,H,q),V)break 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r;},e.initDefaultProps=((r=e.prototype).type=\"path\",r.strokeContainThreshold=5,r.segmentIgnoreThreshold=0,r.subPixelOptimize=!1,r.autoBatch=!1,void(r.__dirty=7)),e;}(ia),Do=M({strokeFirst:!0,font:sr,x:0,y:0,textAlign:\"left\",textBaseline:\"top\",miterLimit:2},To),Oo=function(t){function e(){return null!==t&&t.apply(this,arguments)||this;}return n(e,t),e.prototype.hasStroke=function(){var t=this.style,e=t.stroke;return null!=e&&\"none\"!==e&&t.lineWidth>0;},e.prototype.hasFill=function(){var t=this.style.fill;return null!=t&&\"none\"!==t;},e.prototype.createStyle=function(t){return ht(Do,t);},e.prototype.setBoundingRect=function(t){this._rect=t;},e.prototype.getBoundingRect=function(){var t=this.style;if(!this._rect){var e=t.text;null!=e?e+=\"\":e=\"\";var n=hr(e,t.font,t.textAlign,t.textBaseline);if(n.x+=t.x||0,n.y+=t.y||0,this.hasStroke()){var r=t.lineWidth;n.x-=r/2,n.y-=r/2,n.width+=r,n.height+=r;}this._rect=n;}return this._rect;},e.initDefaultProps=void(e.prototype.dirtyRectTolerance=10),e;}(ia);Oo.prototype.type=\"tspan\";var Io=M({x:0,y:0},ta),Lo={style:M({x:!0,y:!0,width:!0,height:!0,sx:!0,sy:!0,sWidth:!0,sHeight:!0},ea.style)},Bo=function(t){function e(){return null!==t&&t.apply(this,arguments)||this;}return n(e,t),e.prototype.createStyle=function(t){return ht(Io,t);},e.prototype._getSize=function(t){var e=this.style,n=e[t];if(null!=n)return n;var r,i=(r=e.image)&&\"string\"!=typeof r&&r.width&&r.height?e.image:this.__image;if(!i)return 0;var a=\"width\"===t?\"height\":\"width\",o=e[a];return null==o?i[t]:i[t]/i[a]*o;},e.prototype.getWidth=function(){return this._getSize(\"width\");},e.prototype.getHeight=function(){return this._getSize(\"height\");},e.prototype.getAnimationStyleProps=function(){return Lo;},e.prototype.getBoundingRect=function(){var t=this.style;return this._rect||(this._rect=new ar(t.x||0,t.y||0,this.getWidth(),this.getHeight())),this._rect;},e;}(ia);Bo.prototype.type=\"image\";var Ro=Math.round;function zo(t,e,n){if(!e)return t;var r=Ro(2*t);return(r+Ro(e))%2==0?r/2:(r+(n?1:-1))/2;}var Po=function(){this.x=0,this.y=0,this.width=0,this.height=0;},Fo={},qo=function(t){function e(e){return t.call(this,e)||this;}return n(e,t),e.prototype.getDefaultShape=function(){return new Po();},e.prototype.buildPath=function(t,e){var n,r,i,a;if(this.subPixelOptimize){var o=function(t,e,n){if(e){var r=e.x,i=e.y,a=e.width,o=e.height;t.x=r,t.y=i,t.width=a,t.height=o;var s=n&&n.lineWidth;return s?(t.x=zo(r,s,!0),t.y=zo(i,s,!0),t.width=Math.max(zo(r+a,s,!1)-t.x,0===a?0:1),t.height=Math.max(zo(i+o,s,!1)-t.y,0===o?0:1),t):t;}}(Fo,e,this.style);n=o.x,r=o.y,i=o.width,a=o.height,o.r=e.r,e=o;}else n=e.x,r=e.y,i=e.width,a=e.height;e.r?function(t,e){var n,r,i,a,o,s=e.x,l=e.y,c=e.width,u=e.height,h=e.r;c<0&&(s+=c,c=-c),u<0&&(l+=u,u=-u),\"number\"==typeof h?n=r=i=a=h:h instanceof Array?1===h.length?n=r=i=a=h[0]:2===h.length?(n=i=h[0],r=a=h[1]):3===h.length?(n=h[0],r=a=h[1],i=h[2]):(n=h[0],r=h[1],i=h[2],a=h[3]):n=r=i=a=0,n+r>c&&(n*=c/(o=n+r),r*=c/o),i+a>c&&(i*=c/(o=i+a),a*=c/o),r+i>u&&(r*=u/(o=r+i),i*=u/o),n+a>u&&(n*=u/(o=n+a),a*=u/o),t.moveTo(s+n,l),t.lineTo(s+c-r,l),0!==r&&t.arc(s+c-r,l+r,r,-Math.PI/2,0),t.lineTo(s+c,l+u-i),0!==i&&t.arc(s+c-i,l+u-i,i,0,Math.PI/2),t.lineTo(s+a,l+u),0!==a&&t.arc(s+a,l+u-a,a,Math.PI/2,Math.PI),t.lineTo(s,l+n),0!==n&&t.arc(s+n,l+n,n,Math.PI,1.5*Math.PI);}(t,e):t.rect(n,r,i,a);},e.prototype.isZeroArea=function(){return!this.shape.width||!this.shape.height;},e;}(No);qo.prototype.type=\"rect\";var jo={fill:\"#000\"},Uo={style:M({fill:!0,stroke:!0,fillOpacity:!0,strokeOpacity:!0,lineWidth:!0,fontSize:!0,lineHeight:!0,width:!0,height:!0,textShadowColor:!0,textShadowBlur:!0,textShadowOffsetX:!0,textShadowOffsetY:!0,backgroundColor:!0,padding:!0,borderColor:!0,borderWidth:!0,borderRadius:!0},ea.style)},Ho=function(t){function e(e){var n=t.call(this)||this;return n.type=\"text\",n._children=[],n._defaultStyle=jo,n.attr(e),n;}return n(e,t),e.prototype.childrenRef=function(){return this._children;},e.prototype.update=function(){t.prototype.update.call(this),this.styleChanged()&&this._updateSubTexts();for(var e=0;e<this._children.length;e++){var n=this._children[e];n.zlevel=this.zlevel,n.z=this.z,n.z2=this.z2,n.culling=this.culling,n.cursor=this.cursor,n.invisible=this.invisible;}},e.prototype.updateTransform=function(){var e=this.innerTransformable;e?(e.updateTransform(),e.transform&&(this.transform=e.transform)):t.prototype.updateTransform.call(this);},e.prototype.getLocalTransform=function(e){var n=this.innerTransformable;return n?n.getLocalTransform(e):t.prototype.getLocalTransform.call(this,e);},e.prototype.getComputedTransform=function(){return this.__hostTarget&&(this.__hostTarget.getComputedTransform(),this.__hostTarget.updateInnerText(!0)),t.prototype.getComputedTransform.call(this);},e.prototype._updateSubTexts=function(){var t;this._childCursor=0,$o(t=this.style),O(t.rich,$o),this.style.rich?this._updateRichTexts():this._updatePlainTexts(),this._children.length=this._childCursor,this.styleUpdated();},e.prototype.addSelfToZr=function(e){t.prototype.addSelfToZr.call(this,e);for(var n=0;n<this._children.length;n++)this._children[n].__zr=e;},e.prototype.removeSelfFromZr=function(e){t.prototype.removeSelfFromZr.call(this,e);for(var n=0;n<this._children.length;n++)this._children[n].__zr=null;},e.prototype.getBoundingRect=function(){if(this.styleChanged()&&this._updateSubTexts(),!this._rect){for(var t=new ar(0,0,0,0),e=this._children,n=[],r=null,i=0;i<e.length;i++){var a=e[i],o=a.getBoundingRect(),s=a.getLocalTransform(n);s?(t.copy(o),t.applyTransform(s),(r=r||t.clone()).union(t)):(r=r||o.clone()).union(o);}this._rect=r||t;}return this._rect;},e.prototype.setDefaultTextStyle=function(t){this._defaultStyle=t||jo;},e.prototype.setTextContent=function(t){throw new Error(\"Can't attach text on another text\");},e.prototype._mergeStyle=function(t,e){if(!e)return t;var n=e.rich,r=t.rich||n&&{};return C(t,e),n&&r?(this._mergeRich(r,n),t.rich=r):r&&(t.rich=r),t;},e.prototype._mergeRich=function(t,e){for(var n=R(e),r=0;r<n.length;r++){var i=n[r];t[i]=t[i]||{},C(t[i],e[i]);}},e.prototype.getAnimationStyleProps=function(){return Uo;},e.prototype._getOrCreateChild=function(t){var e=this._children[this._childCursor];return e&&e instanceof t||(e=new t()),this._children[this._childCursor++]=e,e.__zr=this.__zr,e.parent=this,e;},e.prototype._updatePlainTexts=function(){var t=this.style,e=t.font||sr,n=t.padding,r=function(t,e){null!=t&&(t+=\"\");var n,r=e.overflow,i=e.padding,a=e.font,o=\"truncate\"===r,s=pr(a),l=J(e.lineHeight,s),c=\"truncate\"===e.lineOverflow,u=e.width,h=(n=null!=u&&\"break\"===r||\"breakAll\"===r?t?Qi(t,e.font,u,\"breakAll\"===r,0).lines:[]:t?t.split(\"\\n\"):[]).length*l,f=J(e.height,h);if(h>f&&c){var d=Math.floor(f/l);n=n.slice(0,d);}var p=f,m=u;if(i&&(p+=i[0]+i[2],null!=m&&(m+=i[1]+i[3])),t&&o&&null!=m)for(var g=Hi(u,a,e.ellipsis,{minChar:e.truncateMinChar,placeholder:e.placeholder}),y=0;y<n.length;y++)n[y]=Vi(n[y],g);if(null==u){var v=0;for(y=0;y<n.length;y++)v=Math.max(cr(n[y],a),v);u=v;}return{lines:n,height:f,outerHeight:p,lineHeight:l,calculatedLineHeight:s,contentHeight:h,width:u};}(Zo(t),t),i=Ko(t),a=!!t.backgroundColor,o=r.outerHeight,s=r.lines,l=r.lineHeight,c=this._defaultStyle,u=t.x||0,h=t.y||0,f=t.align||c.align||\"left\",d=t.verticalAlign||c.verticalAlign||\"top\",p=u,m=dr(h,r.contentHeight,d);if(i||n){var g=r.width;n&&(g+=n[1]+n[3]);var y=fr(u,g,f),v=dr(h,o,d);i&&this._renderBackground(t,t,y,v,g,o);}m+=l/2,n&&(p=Xo(u,f,n),\"top\"===d?m+=n[0]:\"bottom\"===d&&(m-=n[2]));for(var b=0,_=!1,x=Wo((\"fill\"in t)?t.fill:(_=!0,c.fill)),w=Go((\"stroke\"in t)?t.stroke:a||c.autoStroke&&!_?null:(b=2,c.stroke)),k=t.textShadowBlur>0,S=null!=t.width&&(\"truncate\"===t.overflow||\"break\"===t.overflow||\"breakAll\"===t.overflow),C=r.calculatedLineHeight,M=0;M<s.length;M++){var T=this._getOrCreateChild(Oo),A=T.createStyle();T.useStyle(A),A.text=s[M],A.x=p,A.y=m,f&&(A.textAlign=f),A.textBaseline=\"middle\",A.opacity=t.opacity,A.strokeFirst=!0,k&&(A.shadowBlur=t.textShadowBlur||0,A.shadowColor=t.textShadowColor||\"transparent\",A.shadowOffsetX=t.textShadowOffsetX||0,A.shadowOffsetY=t.textShadowOffsetY||0),w&&(A.stroke=w,A.lineWidth=t.lineWidth||b,A.lineDash=t.lineDash,A.lineDashOffset=t.lineDashOffset||0),x&&(A.fill=x),A.font=e,m+=l,S&&T.setBoundingRect(new ar(fr(A.x,t.width,A.textAlign),dr(A.y,C,A.textBaseline),t.width,C));}},e.prototype._updateRichTexts=function(){var t=this.style,e=function(t,e){var n=new Wi();if(null!=t&&(t+=\"\"),!t)return n;for(var r,i=e.width,a=e.height,o=e.overflow,s=\"break\"!==o&&\"breakAll\"!==o||null==i?null:{width:i,accumWidth:0,breakAll:\"breakAll\"===o},l=ji.lastIndex=0;null!=(r=ji.exec(t));){var c=r.index;c>l&&Xi(n,t.substring(l,c),e,s),Xi(n,r[2],e,s,r[1]),l=ji.lastIndex;}l<t.length&&Xi(n,t.substring(l,t.length),e,s);var u=[],h=0,f=0,d=e.padding,p=\"truncate\"===o,m=\"truncate\"===e.lineOverflow;function g(t,e,n){t.width=e,t.lineHeight=n,h+=n,f=Math.max(f,e);}t:for(var y=0;y<n.lines.length;y++){for(var v=n.lines[y],b=0,_=0,x=0;x<v.tokens.length;x++){var w=(O=v.tokens[x]).styleName&&e.rich[O.styleName]||{},k=O.textPadding=w.padding,S=k?k[1]+k[3]:0,C=O.font=w.font||e.font;O.contentHeight=pr(C);var M=J(w.height,O.contentHeight);if(O.innerHeight=M,k&&(M+=k[0]+k[2]),O.height=M,O.lineHeight=tt(w.lineHeight,e.lineHeight,M),O.align=w&&w.align||e.align,O.verticalAlign=w&&w.verticalAlign||\"middle\",m&&null!=a&&h+O.lineHeight>a){x>0?(v.tokens=v.tokens.slice(0,x),g(v,_,b),n.lines=n.lines.slice(0,y+1)):n.lines=n.lines.slice(0,y);break t;}var T=w.width,A=null==T||\"auto\"===T;if(\"string\"==typeof T&&\"%\"===T.charAt(T.length-1))O.percentWidth=T,u.push(O),O.contentWidth=cr(O.text,C);else{if(A){var E=w.backgroundColor,N=E&&E.image;N&&qi(N=zi(N))&&(O.width=Math.max(O.width,N.width*M/N.height));}var D=p&&null!=i?i-_:null;null!=D&&D<O.width?!A||D<S?(O.text=\"\",O.width=O.contentWidth=0):(O.text=Ui(O.text,D-S,C,e.ellipsis,{minChar:e.truncateMinChar}),O.width=O.contentWidth=cr(O.text,C)):O.contentWidth=cr(O.text,C);}O.width+=S,_+=O.width,w&&(b=Math.max(b,O.lineHeight));}g(v,_,b);}for(n.outerWidth=n.width=J(i,f),n.outerHeight=n.height=J(a,h),n.contentHeight=h,n.contentWidth=f,d&&(n.outerWidth+=d[1]+d[3],n.outerHeight+=d[0]+d[2]),y=0;y<u.length;y++){var O,I=(O=u[y]).percentWidth;O.width=parseInt(I,10)/100*n.width;}return n;}(Zo(t),t),n=e.width,r=e.outerWidth,i=e.outerHeight,a=t.padding,o=t.x||0,s=t.y||0,l=this._defaultStyle,c=t.align||l.align,u=t.verticalAlign||l.verticalAlign,h=fr(o,r,c),f=dr(s,i,u),d=h,p=f;a&&(d+=a[3],p+=a[0]);var m=d+n;Ko(t)&&this._renderBackground(t,t,h,f,r,i);for(var g=!!t.backgroundColor,y=0;y<e.lines.length;y++){for(var v=e.lines[y],b=v.tokens,_=b.length,x=v.lineHeight,w=v.width,k=0,S=d,C=m,M=_-1,T=void 0;k<_&&(!(T=b[k]).align||\"left\"===T.align);)this._placeToken(T,t,x,p,S,\"left\",g),w-=T.width,S+=T.width,k++;for(;M>=0&&\"right\"===(T=b[M]).align;)this._placeToken(T,t,x,p,C,\"right\",g),w-=T.width,C-=T.width,M--;for(S+=(n-(S-d)-(m-C)-w)/2;k<=M;)T=b[k],this._placeToken(T,t,x,p,S+T.width/2,\"center\",g),S+=T.width,k++;p+=x;}},e.prototype._placeToken=function(t,e,n,r,i,a,o){var s=e.rich[t.styleName]||{};s.text=t.text;var l=t.verticalAlign,c=r+n/2;\"top\"===l?c=r+t.height/2:\"bottom\"===l&&(c=r+n-t.height/2),!t.isLineHolder&&Ko(s)&&this._renderBackground(s,e,\"right\"===a?i-t.width:\"center\"===a?i-t.width/2:i,c-t.height/2,t.width,t.height);var u=!!s.backgroundColor,h=t.textPadding;h&&(i=Xo(i,a,h),c-=t.height/2-h[0]-t.innerHeight/2);var f=this._getOrCreateChild(Oo),d=f.createStyle();f.useStyle(d);var p=this._defaultStyle,m=!1,g=0,y=Wo(\"fill\"in s?s.fill:\"fill\"in e?e.fill:(m=!0,p.fill)),v=Go(\"stroke\"in s?s.stroke:\"stroke\"in e?e.stroke:u||o||p.autoStroke&&!m?null:(g=2,p.stroke)),b=s.textShadowBlur>0||e.textShadowBlur>0;d.text=t.text,d.x=i,d.y=c,b&&(d.shadowBlur=s.textShadowBlur||e.textShadowBlur||0,d.shadowColor=s.textShadowColor||e.textShadowColor||\"transparent\",d.shadowOffsetX=s.textShadowOffsetX||e.textShadowOffsetX||0,d.shadowOffsetY=s.textShadowOffsetY||e.textShadowOffsetY||0),d.textAlign=a,d.textBaseline=\"middle\",d.font=t.font||sr,d.opacity=tt(s.opacity,e.opacity,1),v&&(d.lineWidth=tt(s.lineWidth,e.lineWidth,g),d.lineDash=J(s.lineDash,e.lineDash),d.lineDashOffset=e.lineDashOffset||0,d.stroke=v),y&&(d.fill=y);var _=t.contentWidth,x=t.contentHeight;f.setBoundingRect(new ar(fr(d.x,_,d.textAlign),dr(d.y,x,d.textBaseline),_,x));},e.prototype._renderBackground=function(t,e,n,r,i,a){var o,s,l,c=t.backgroundColor,u=t.borderWidth,h=t.borderColor,f=c&&c.image,d=c&&!f,p=t.borderRadius,m=this;if(d||t.lineHeight||u&&h){(o=this._getOrCreateChild(qo)).useStyle(o.createStyle()),o.style.fill=null;var g=o.shape;g.x=n,g.y=r,g.width=i,g.height=a,g.r=p,o.dirtyShape();}if(d)(l=o.style).fill=c||null,l.fillOpacity=J(t.fillOpacity,1);else if(f){(s=this._getOrCreateChild(Bo)).onload=function(){m.dirtyStyle();};var y=s.style;y.image=c.image,y.x=n,y.y=r,y.width=i,y.height=a;}u&&h&&((l=o.style).lineWidth=u,l.stroke=h,l.strokeOpacity=J(t.strokeOpacity,1),l.lineDash=t.borderDash,l.lineDashOffset=t.borderDashOffset||0,o.strokeContainThreshold=0,o.hasFill()&&o.hasStroke()&&(l.strokeFirst=!0,l.lineWidth*=2));var v=(o||s).style;v.shadowBlur=t.shadowBlur||0,v.shadowColor=t.shadowColor||\"transparent\",v.shadowOffsetX=t.shadowOffsetX||0,v.shadowOffsetY=t.shadowOffsetY||0,v.opacity=tt(t.opacity,e.opacity,1);},e.makeFont=function(t){var e=\"\";if(t.fontSize||t.fontFamily||t.fontWeight){var n=\"\";n=\"string\"!=typeof t.fontSize||-1===t.fontSize.indexOf(\"px\")&&-1===t.fontSize.indexOf(\"rem\")&&-1===t.fontSize.indexOf(\"em\")?isNaN(+t.fontSize)?\"12px\":t.fontSize+\"px\":t.fontSize,e=[t.fontStyle,t.fontWeight,n,t.fontFamily||\"sans-serif\"].join(\" \");}return e&&it(e)||t.textFont||t.font;},e;}(ia),Vo={left:!0,right:1,center:1},Yo={top:1,bottom:1,middle:1};function $o(t){if(t){t.font=Ho.makeFont(t);var e=t.align;\"middle\"===e&&(e=\"center\"),t.align=null==e||Vo[e]?e:\"left\";var n=t.verticalAlign;\"center\"===n&&(n=\"middle\"),t.verticalAlign=null==n||Yo[n]?n:\"top\",t.padding&&(t.padding=nt(t.padding));}}function Go(t,e){return null==t||e<=0||\"transparent\"===t||\"none\"===t?null:t.image||t.colorStops?\"#000\":t;}function Wo(t){return null==t||\"none\"===t?null:t.image||t.colorStops?\"#000\":t;}function Xo(t,e,n){return\"right\"===e?t-n[1]:\"center\"===e?t+n[3]/2-n[1]/2:t+n[3];}function Zo(t){var e=t.text;return null!=e&&(e+=\"\"),e;}function 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t.prototype.getDataParams=function(t,e){var n=this.getData(e),r=this.getRawValue(t,e),i=n.getRawIndex(t),a=n.getName(t),o=n.getRawDataItem(t),s=n.getItemVisual(t,\"style\"),l=s&&s[n.getItemVisual(t,\"drawType\")||\"fill\"],c=s&&s.stroke,u=this.mainType,h=\"series\"===u,f=n.userOutput&&n.userOutput.get();return{componentType:u,componentSubType:this.subType,componentIndex:this.componentIndex,seriesType:h?this.subType:null,seriesIndex:this.seriesIndex,seriesId:h?this.id:null,seriesName:h?this.name:null,name:a,dataIndex:i,data:o,dataType:e,value:r,color:l,borderColor:c,dimensionNames:f?f.fullDimensions:null,encode:f?f.encode:null,$vars:[\"seriesName\",\"name\",\"value\"]};},t.prototype.getFormattedLabel=function(t,e,n,r,i,a){e=e||\"normal\";var o=this.getData(n),s=this.getDataParams(t,n);return a&&(s.value=a.interpolatedValue),null!=r&&F(s.value)&&(s.value=s.value[r]),i||(i=o.getItemModel(t).get(\"normal\"===e?[\"label\",\"formatter\"]:[e,\"label\",\"formatter\"])),\"function\"==typeof 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u(t){return!(t>=1)&&(t=1),t;}o===l&&s===c||(e=\"reset\"),(this._dirty||\"reset\"===e)&&(this._dirty=!1,a=this._doReset(r)),this._modBy=l,this._modDataCount=c;var h=t&&t.step;if(this._dueEnd=n?n._outputDueEnd:this._count?this._count(this.context):1/0,this._progress){var f=this._dueIndex,d=Math.min(null!=h?this._dueIndex+h:1/0,this._dueEnd);if(!r&&(a||f<d)){var p=this._progress;if(F(p))for(var m=0;m<p.length;m++)this._doProgress(p[m],f,d,l,c);else this._doProgress(p,f,d,l,c);}this._dueIndex=d;var g=null!=this._settedOutputEnd?this._settedOutputEnd:d;this._outputDueEnd=g;}else this._dueIndex=this._outputDueEnd=null!=this._settedOutputEnd?this._settedOutputEnd:this._dueEnd;return this.unfinished();},t.prototype.dirty=function(){this._dirty=!0,this._onDirty&&this._onDirty(this.context);},t.prototype._doProgress=function(t,e,n,r,i){If.reset(e,n,r,i),this._callingProgress=t,this._callingProgress({start:e,end:n,count:n-e,next:If.next},this.context);},t.prototype._doReset=function(t){var e,n;this._dueIndex=this._outputDueEnd=this._dueEnd=0,this._settedOutputEnd=null,!t&&this._reset&&((e=this._reset(this.context))&&e.progress&&(n=e.forceFirstProgress,e=e.progress),F(e)&&!e.length&&(e=null)),this._progress=e,this._modBy=this._modDataCount=null;var r=this._downstream;return r&&r.dirty(),n;},t.prototype.unfinished=function(){return this._progress&&this._dueIndex<this._dueEnd;},t.prototype.pipe=function(t){(this._downstream!==t||this._dirty)&&(this._downstream=t,t._upstream=this,t.dirty());},t.prototype.dispose=function(){this._disposed||(this._upstream&&(this._upstream._downstream=null),this._downstream&&(this._downstream._upstream=null),this._dirty=!1,this._disposed=!0);},t.prototype.getUpstream=function(){return this._upstream;},t.prototype.getDownstream=function(){return this._downstream;},t.prototype.setOutputEnd=function(t){this._outputDueEnd=this._settedOutputEnd=t;},t;}(),If=function(){var t,e,n,r,i,a={reset:function(l,c,u,h){e=l,t=c,n=u,r=h,i=Math.ceil(r/n),a.next=n>1&&r>0?s:o;}};return a;function o(){return e<t?e++:null;}function s(){var a=e%i*n+Math.ceil(e/i),o=e>=t?null:a<r?a:e;return e++,o;}}();function Lf(t,e){var n=e&&e.type;return\"ordinal\"===n?t:(\"time\"===n&&\"number\"!=typeof t&&null!=t&&\"-\"!==t&&(t=+Gr(t)),null==t||\"\"===t?NaN:+t);}ct({number:function(t){return parseFloat(t);},time:function(t){return+Gr(t);},trim:function(t){return\"string\"==typeof t?it(t):t;}});var Bf=function(){function t(){}return t.prototype.getRawData=function(){throw new Error(\"not supported\");},t.prototype.getRawDataItem=function(t){throw new Error(\"not supported\");},t.prototype.cloneRawData=function(){},t.prototype.getDimensionInfo=function(t){},t.prototype.cloneAllDimensionInfo=function(){},t.prototype.count=function(){},t.prototype.retrieveValue=function(t,e){},t.prototype.retrieveValueFromItem=function(t,e){},t.prototype.convertValue=function(t,e){return Lf(t,e);},t;}();function Rf(t){var e=t.sourceFormat;if(!Uf(e)){var n=\"\";ni(n);}return t.data;}function zf(t){var e=t.sourceFormat,n=t.data;if(!Uf(e)){var r=\"\";ni(r);}if(e===th){for(var i=[],a=0,o=n.length;a<o;a++)i.push(n[a].slice());return i;}if(e===eh){for(i=[],a=0,o=n.length;a<o;a++)i.push(C({},n[a]));return i;}}function Pf(t,e,n){if(null!=n)return\"number\"==typeof n||!isNaN(n)&&!ft(e,n)?t[n]:ft(e,n)?e[n]:void 0;}function Ff(t){return k(t);}var qf=ct();function jf(t,e,n,r){var i=\"\";e.length||ni(i),V(t)||ni(i);var a=t.type,o=qf.get(a);o||ni(i);var s=I(e,function(t){return function(t,e){var n=new Bf(),r=t.data,i=n.sourceFormat=t.sourceFormat,a=t.startIndex,o=\"\";t.seriesLayoutBy!==ah&&ni(o);var s=[],l={},c=t.dimensionsDefine;if(c)O(c,function(t,e){var n=t.name,r={index:e,name:n,displayName:t.displayName};if(s.push(r),null!=n){var i=\"\";ft(l,n)&&ni(i),l[n]=r;}});else for(var u=0;u<t.dimensionsDetectedCount;u++)s.push({index:u});var h=_f(i,ah);e.__isBuiltIn&&(n.getRawDataItem=function(t){return h(r,a,s,t);},n.getRawData=z(Rf,null,t)),n.cloneRawData=z(zf,null,t);var f=kf(i,ah);n.count=z(f,null,r,a,s);var d=Mf(i);n.retrieveValue=function(t,e){var n=h(r,a,s,t);return p(n,e);};var p=n.retrieveValueFromItem=function(t,e){if(null!=t){var n=s[e];return n?d(t,e,n.name):void 0;}};return n.getDimensionInfo=z(Pf,null,s,l),n.cloneAllDimensionInfo=z(Ff,null,s),n;}(t,o);}),l=ii(o.transform({upstream:s[0],upstreamList:s,config:k(t.config)}));return I(l,function(t,n){var r,i=\"\";V(t)||ni(i),t.data||ni(i),Uf(df(t.data))||ni(i);var a=e[0];if(a&&0===n&&!t.dimensions){var o=a.startIndex;o&&(t.data=a.data.slice(0,o).concat(t.data)),r={seriesLayoutBy:ah,sourceHeader:o,dimensions:a.metaRawOption.dimensions};}else r={seriesLayoutBy:ah,sourceHeader:0,dimensions:t.dimensions};return hf(t.data,r,null);});}function Uf(t){return t===th||t===eh;}var Hf,Vf=\"undefined\",Yf=typeof Uint32Array===Vf?Array:Uint32Array,$f=typeof Uint16Array===Vf?Array:Uint16Array,Gf=typeof Int32Array===Vf?Array:Int32Array,Wf=typeof Float64Array===Vf?Array:Float64Array,Xf={float:Wf,int:Gf,ordinal:Array,number:Array,time:Wf};function Zf(t){return t>65535?Yf:$f;}function Kf(t,e,n,r,i){var a=Xf[n||\"float\"];if(i){var o=t[e],s=o&&o.length;if(s!==r){for(var l=new a(r),c=0;c<s;c++)l[c]=o[c];t[e]=l;}}else t[e]=new a(r);}var Qf=function(){function t(){this._chunks=[],this._rawExtent=[],this._extent=[],this._count=0,this._rawCount=0,this._calcDimNameToIdx=ct();}return t.prototype.initData=function(t,e,n){this._provider=t,this._chunks=[],this._indices=null,this.getRawIndex=this._getRawIdxIdentity;var r=t.getSource(),i=this.defaultDimValueGetter=Hf[r.sourceFormat];this._dimValueGetter=n||i,this._rawExtent=[],gf(r),this._dimensions=I(e,function(t){return{type:t.type,property:t.property};}),this._initDataFromProvider(0,t.count());},t.prototype.getProvider=function(){return this._provider;},t.prototype.getSource=function(){return this._provider.getSource();},t.prototype.ensureCalculationDimension=function(t,e){var n=this._calcDimNameToIdx,r=this._dimensions,i=n.get(t);if(null!=i){if(r[i].type===e)return i;}else i=r.length;return r[i]={type:e},n.set(t,i),this._chunks[i]=new Xf[e||\"float\"](this._rawCount),this._rawExtent[i]=[1/0,-1/0],i;},t.prototype.collectOrdinalMeta=function(t,e){var n=this._chunks[t],r=this._dimensions[t],i=this._rawExtent,a=r.ordinalOffset||0,o=n.length;0===a&&(i[t]=[1/0,-1/0]);for(var s=i[t],l=a;l<o;l++){var c=n[l]=e.parseAndCollect(n[l]);s[0]=Math.min(c,s[0]),s[1]=Math.max(c,s[1]);}r.ordinalMeta=e,r.ordinalOffset=o,r.type=\"ordinal\";},t.prototype.getOrdinalMeta=function(t){return this._dimensions[t].ordinalMeta;},t.prototype.getDimensionProperty=function(t){var e=this._dimensions[t];return e&&e.property;},t.prototype.appendData=function(t){var e=this._provider,n=this.count();e.appendData(t);var r=e.count();return e.persistent||(r+=n),n<r&&this._initDataFromProvider(n,r,!0),[n,r];},t.prototype.appendValues=function(t,e){for(var n=this._chunks,r=this._dimensions,i=r.length,a=this._rawExtent,o=this.count(),s=o+Math.max(t.length,e||0),l=0;l<i;l++)Kf(n,l,(d=r[l]).type,s,!0);for(var c=[],u=o;u<s;u++)for(var h=u-o,f=0;f<i;f++){var d=r[f],p=Hf.arrayRows.call(this,t[h]||c,d.property,h,f);n[f][u]=p;var m=a[f];p<m[0]&&(m[0]=p),p>m[1]&&(m[1]=p);}return this._rawCount=this._count=s,{start:o,end:s};},t.prototype._initDataFromProvider=function(t,e,n){for(var r=this._provider,i=this._chunks,a=this._dimensions,o=a.length,s=this._rawExtent,l=I(a,function(t){return t.property;}),c=0;c<o;c++){var u=a[c];s[c]||(s[c]=[1/0,-1/0]),Kf(i,c,u.type,e,n);}if(r.fillStorage)r.fillStorage(t,e,i,s);else for(var h=[],f=t;f<e;f++){h=r.getItem(f,h);for(var d=0;d<o;d++){var p=i[d],m=this._dimValueGetter(h,l[d],f,d);p[f]=m;var g=s[d];m<g[0]&&(g[0]=m),m>g[1]&&(g[1]=m);}}!r.persistent&&r.clean&&r.clean(),this._rawCount=this._count=e,this._extent=[];},t.prototype.count=function(){return this._count;},t.prototype.get=function(t,e){if(!(e>=0&&e<this._count))return NaN;var n=this._chunks[t];return n?n[this.getRawIndex(e)]:NaN;},t.prototype.getValues=function(t,e){var n=[],r=[];if(null==e){e=t,t=[];for(var i=0;i<this._dimensions.length;i++)r.push(i);}else r=t;i=0;for(var a=r.length;i<a;i++)n.push(this.get(r[i],e));return n;},t.prototype.getByRawIndex=function(t,e){if(!(e>=0&&e<this._rawCount))return NaN;var n=this._chunks[t];return n?n[e]:NaN;},t.prototype.getSum=function(t){var e=0;if(this._chunks[t])for(var n=0,r=this.count();n<r;n++){var i=this.get(t,n);isNaN(i)||(e+=i);}return e;},t.prototype.getMedian=function(t){var e=[];this.each([t],function(t){isNaN(t)||e.push(t);});var n=e.sort(function(t,e){return t-e;}),r=this.count();return 0===r?0:r%2==1?n[(r-1)/2]:(n[r/2]+n[r/2-1])/2;},t.prototype.indexOfRawIndex=function(t){if(t>=this._rawCount||t<0)return-1;if(!this._indices)return t;var e=this._indices,n=e[t];if(null!=n&&n<this._count&&n===t)return t;for(var r=0,i=this._count-1;r<=i;){var a=(r+i)/2|0;if(e[a]<t)r=a+1;else{if(!(e[a]>t))return a;i=a-1;}}return-1;},t.prototype.indicesOfNearest=function(t,e,n){var r=this._chunks[t],i=[];if(!r)return i;null==n&&(n=1/0);for(var a=1/0,o=-1,s=0,l=0,c=this.count();l<c;l++){var u=e-r[this.getRawIndex(l)],h=Math.abs(u);h<=n&&((h<a||h===a&&u>=0&&o<0)&&(a=h,o=u,s=0),u===o&&(i[s++]=l));}return i.length=s,i;},t.prototype.getIndices=function(){var t,e=this._indices;if(e){var n=e.constructor,r=this._count;if(n===Array){t=new n(r);for(var i=0;i<r;i++)t[i]=e[i];}else t=new n(e.buffer,0,r);}else for(t=new(n=Zf(this._rawCount))(this.count()),i=0;i<t.length;i++)t[i]=i;return t;},t.prototype.filter=function(t,e){if(!this._count)return this;for(var n=this.clone(),r=n.count(),i=new(Zf(n._rawCount))(r),a=[],o=t.length,s=0,l=t[0],c=n._chunks,u=0;u<r;u++){var h=void 0,f=n.getRawIndex(u);if(0===o)h=e(u);else if(1===o)h=e(c[l][f],u);else{for(var d=0;d<o;d++)a[d]=c[t[d]][f];a[d]=u,h=e.apply(null,a);}h&&(i[s++]=f);}return s<r&&(n._indices=i),n._count=s,n._extent=[],n._updateGetRawIdx(),n;},t.prototype.selectRange=function(t){var e=this.clone(),n=e._count;if(!n)return this;var r=R(t),i=r.length;if(!i)return this;var a=e.count(),o=new(Zf(e._rawCount))(a),s=0,l=r[0],c=t[l][0],u=t[l][1],h=e._chunks,f=!1;if(!e._indices){var d=0;if(1===i){for(var p=h[r[0]],m=0;m<n;m++)((b=p[m])>=c&&b<=u||isNaN(b))&&(o[s++]=d),d++;f=!0;}else if(2===i){p=h[r[0]];var g=h[r[1]],y=t[r[1]][0],v=t[r[1]][1];for(m=0;m<n;m++){var b=p[m],_=g[m];(b>=c&&b<=u||isNaN(b))&&(_>=y&&_<=v||isNaN(_))&&(o[s++]=d),d++;}f=!0;}}if(!f)if(1===i)for(m=0;m<a;m++){var x=e.getRawIndex(m);((b=h[r[0]][x])>=c&&b<=u||isNaN(b))&&(o[s++]=x);}else for(m=0;m<a;m++){for(var w=!0,k=(x=e.getRawIndex(m),0);k<i;k++){var S=r[k];((b=h[S][x])<t[S][0]||b>t[S][1])&&(w=!1);}w&&(o[s++]=e.getRawIndex(m));}return s<a&&(e._indices=o),e._count=s,e._extent=[],e._updateGetRawIdx(),e;},t.prototype.map=function(t,e){var n=this.clone(t);return this._updateDims(n,t,e),n;},t.prototype.modify=function(t,e){this._updateDims(this,t,e);},t.prototype._updateDims=function(t,e,n){for(var r=t._chunks,i=[],a=e.length,o=t.count(),s=[],l=t._rawExtent,c=0;c<e.length;c++)l[e[c]]=[1/0,-1/0];for(var u=0;u<o;u++){for(var h=t.getRawIndex(u),f=0;f<a;f++)s[f]=r[e[f]][h];s[a]=u;var d=n&&n.apply(null,s);if(null!=d)for(\"object\"!=typeof d&&(i[0]=d,d=i),c=0;c<d.length;c++){var p=e[c],m=d[c],g=l[p],y=r[p];y&&(y[h]=m),m<g[0]&&(g[0]=m),m>g[1]&&(g[1]=m);}}},t.prototype.lttbDownSample=function(t,e){var n,r,i,a=this.clone([t],!0),o=a._chunks[t],s=this.count(),l=0,c=Math.floor(1/e),u=this.getRawIndex(0),h=new(Zf(this._rawCount))(Math.ceil(s/c)+2);h[l++]=u;for(var f=1;f<s-1;f+=c){for(var d=Math.min(f+c,s-1),p=Math.min(f+2*c,s),m=(p+d)/2,g=0,y=d;y<p;y++){var v=o[k=this.getRawIndex(y)];isNaN(v)||(g+=v);}g/=p-d;var b=f,_=Math.min(f+c,s),x=f-1,w=o[u];for(n=-1,i=b,y=b;y<_;y++){var k;v=o[k=this.getRawIndex(y)],isNaN(v)||(r=Math.abs((x-m)*(v-w)-(x-y)*(g-w)))>n&&(n=r,i=k);}h[l++]=i,u=i;}return h[l++]=this.getRawIndex(s-1),a._count=l,a._indices=h,a.getRawIndex=this._getRawIdx,a;},t.prototype.downSample=function(t,e,n,r){for(var i=this.clone([t],!0),a=i._chunks,o=[],s=Math.floor(1/e),l=a[t],c=this.count(),u=i._rawExtent[t]=[1/0,-1/0],h=new(Zf(this._rawCount))(Math.ceil(c/s)),f=0,d=0;d<c;d+=s){s>c-d&&(s=c-d,o.length=s);for(var p=0;p<s;p++){var m=this.getRawIndex(d+p);o[p]=l[m];}var g=n(o),y=this.getRawIndex(Math.min(d+r(o,g)||0,c-1));l[y]=g,g<u[0]&&(u[0]=g),g>u[1]&&(u[1]=g),h[f++]=y;}return i._count=f,i._indices=h,i._updateGetRawIdx(),i;},t.prototype.each=function(t,e){if(this._count)for(var n=t.length,r=this._chunks,i=0,a=this.count();i<a;i++){var o=this.getRawIndex(i);switch(n){case 0:e(i);break;case 1:e(r[t[0]][o],i);break;case 2:e(r[t[0]][o],r[t[1]][o],i);break;default:for(var s=0,l=[];s<n;s++)l[s]=r[t[s]][o];l[s]=i,e.apply(null,l);}}},t.prototype.getDataExtent=function(t){var e=this._chunks[t],n=[1/0,-1/0];if(!e)return n;var r,i=this.count();if(!this._indices)return this._rawExtent[t].slice();if(r=this._extent[t])return r.slice();for(var a=(r=n)[0],o=r[1],s=0;s<i;s++){var l=e[this.getRawIndex(s)];l<a&&(a=l),l>o&&(o=l);}return r=[a,o],this._extent[t]=r,r;},t.prototype.getRawDataItem=function(t){var e=this.getRawIndex(t);if(this._provider.persistent)return this._provider.getItem(e);for(var n=[],r=this._chunks,i=0;i<r.length;i++)n.push(r[i][e]);return n;},t.prototype.clone=function(e,n){var r,i,a=new t(),o=this._chunks,s=e&&L(e,function(t,e){return t[e]=!0,t;},{});if(s)for(var l=0;l<o.length;l++)a._chunks[l]=s[l]?(r=o[l],i=void 0,(i=r.constructor)===Array?r.slice():new i(r)):o[l];else a._chunks=o;return this._copyCommonProps(a),n||(a._indices=this._cloneIndices()),a._updateGetRawIdx(),a;},t.prototype._copyCommonProps=function(t){t._count=this._count,t._rawCount=this._rawCount,t._provider=this._provider,t._dimensions=this._dimensions,t._extent=k(this._extent),t._rawExtent=k(this._rawExtent);},t.prototype._cloneIndices=function(){if(this._indices){var t=this._indices.constructor,e=void 0;if(t===Array){var n=this._indices.length;e=new t(n);for(var r=0;r<n;r++)e[r]=this._indices[r];}else e=new t(this._indices);return e;}return null;},t.prototype._getRawIdxIdentity=function(t){return t;},t.prototype._getRawIdx=function(t){return t<this._count&&t>=0?this._indices[t]:-1;},t.prototype._updateGetRawIdx=function(){this.getRawIndex=this._indices?this._getRawIdx:this._getRawIdxIdentity;},t.internalField=function(){function t(t,e,n,r){return Lf(t[r],this._dimensions[r]);}Hf={arrayRows:t,objectRows:function(t,e,n,r){return Lf(t[e],this._dimensions[r]);},keyedColumns:t,original:function(t,e,n,r){var i=t&&(null==t.value?t:t.value);return Lf(i instanceof Array?i[r]:i,this._dimensions[r]);},typedArray:function(t,e,n,r){return t[r];}};}(),t;}(),Jf=function(){function t(t){this._sourceList=[],this._storeList=[],this._upstreamSignList=[],this._versionSignBase=0,this._dirty=!0,this._sourceHost=t;}return t.prototype.dirty=function(){this._setLocalSource([],[]),this._storeList=[],this._dirty=!0;},t.prototype._setLocalSource=function(t,e){this._sourceList=t,this._upstreamSignList=e,this._versionSignBase++,this._versionSignBase>9e10&&(this._versionSignBase=0);},t.prototype._getVersionSign=function(){return this._sourceHost.uid+\"_\"+this._versionSignBase;},t.prototype.prepareSource=function(){this._isDirty()&&(this._createSource(),this._dirty=!1);},t.prototype._createSource=function(){this._setLocalSource([],[]);var t,e,n=this._sourceHost,r=this._getUpstreamSourceManagers(),i=!!r.length;if(ed(n)){var a=n,o=void 0,s=void 0,l=void 0;if(i){var c=r[0];c.prepareSource(),o=(l=c.getSource()).data,s=l.sourceFormat,e=[c._getVersionSign()];}else s=$(o=a.get(\"data\",!0))?rh:Ju,e=[];var u=this._getSourceMetaRawOption()||{},h=l&&l.metaRawOption||{},f=J(u.seriesLayoutBy,h.seriesLayoutBy)||null,d=J(u.sourceHeader,h.sourceHeader)||null,p=J(u.dimensions,h.dimensions);t=f!==h.seriesLayoutBy||!!d!=!!h.sourceHeader||p?[hf(o,{seriesLayoutBy:f,sourceHeader:d,dimensions:p},s)]:[];}else{var m=n;if(i){var g=this._applyTransform(r);t=g.sourceList,e=g.upstreamSignList;}else t=[hf(m.get(\"source\",!0),this._getSourceMetaRawOption(),null)],e=[];}this._setLocalSource(t,e);},t.prototype._applyTransform=function(t){var e,n=this._sourceHost,r=n.get(\"transform\",!0),i=n.get(\"fromTransformResult\",!0);if(null!=i){var a=\"\";1!==t.length&&nd(a);}var o,s=[],l=[];return O(t,function(t){t.prepareSource();var e=t.getSource(i||0),n=\"\";null==i||e||nd(n),s.push(e),l.push(t._getVersionSign());}),r?e=function(t,e,n){var r=ii(t),i=r.length,a=\"\";i||ni(a);for(var o=0,s=i;o<s;o++)e=jf(r[o],e),o!==s-1&&(e.length=Math.max(e.length,1));return e;}(r,s,n.componentIndex):null!=i&&(e=[(o=s[0],new cf({data:o.data,sourceFormat:o.sourceFormat,seriesLayoutBy:o.seriesLayoutBy,dimensionsDefine:k(o.dimensionsDefine),startIndex:o.startIndex,dimensionsDetectedCount:o.dimensionsDetectedCount}))]),{sourceList:e,upstreamSignList:l};},t.prototype._isDirty=function(){if(this._dirty)return!0;for(var t=this._getUpstreamSourceManagers(),e=0;e<t.length;e++){var n=t[e];if(n._isDirty()||this._upstreamSignList[e]!==n._getVersionSign())return!0;}},t.prototype.getSource=function(t){t=t||0;var e=this._sourceList[t];if(!e){var n=this._getUpstreamSourceManagers();return n[0]&&n[0].getSource(t);}return e;},t.prototype.getSharedDataStore=function(t){var e=t.makeStoreSchema();return this._innerGetDataStore(e.dimensions,t.source,e.hash);},t.prototype._innerGetDataStore=function(t,e,n){var r=this._storeList,i=r[0];i||(i=r[0]={});var a=i[n];if(!a){var o=this._getUpstreamSourceManagers()[0];ed(this._sourceHost)&&o?a=o._innerGetDataStore(t,e,n):(a=new Qf()).initData(new yf(e,t.length),t),i[n]=a;}return a;},t.prototype._getUpstreamSourceManagers=function(){var t=this._sourceHost;if(ed(t)){var e=dh(t);return e?[e.getSourceManager()]:[];}return I(function(t){return t.get(\"transform\",!0)||t.get(\"fromTransformResult\",!0)?xi(t.ecModel,\"dataset\",{index:t.get(\"fromDatasetIndex\",!0),id:t.get(\"fromDatasetId\",!0)},_i).models:[];}(t),function(t){return t.getSourceManager();});},t.prototype._getSourceMetaRawOption=function(){var t,e,n,r=this._sourceHost;if(ed(r))t=r.get(\"seriesLayoutBy\",!0),e=r.get(\"sourceHeader\",!0),n=r.get(\"dimensions\",!0);else if(!this._getUpstreamSourceManagers().length){var i=r;t=i.get(\"seriesLayoutBy\",!0),e=i.get(\"sourceHeader\",!0),n=i.get(\"dimensions\",!0);}return{seriesLayoutBy:t,sourceHeader:e,dimensions:n};},t;}();function td(t){t.option.transform&&ot(t.option.transform);}function ed(t){return\"series\"===t.mainType;}function nd(t){throw new Error(t);}function rd(t,e){return e.type=t,e;}function id(t){var e,n,r,i,a=t.series,o=t.dataIndex,s=t.multipleSeries,l=a.getData(),c=l.mapDimensionsAll(\"defaultedTooltip\"),u=c.length,h=a.getRawValue(o),f=F(h),d=function(t,e){return Pu(t.getData().getItemVisual(e,\"style\")[t.visualDrawType]);}(a,o);if(u>1||f&&!u){var p=function(t,e,n,r,i){var a=e.getData(),o=L(t,function(t,e,n){var r=a.getDimensionInfo(n);return t||r&&!1!==r.tooltip&&null!=r.displayName;},!1),s=[],l=[],c=[];function u(t,e){var n=a.getDimensionInfo(e);n&&!1!==n.otherDims.tooltip&&(o?c.push(rd(\"nameValue\",{markerType:\"subItem\",markerColor:i,name:n.displayName,value:t,valueType:n.type})):(s.push(t),l.push(n.type)));}return r.length?O(r,function(t){u(Af(a,n,t),t);}):O(t,u),{inlineValues:s,inlineValueTypes:l,blocks:c};}(h,a,o,c,d);e=p.inlineValues,n=p.inlineValueTypes,r=p.blocks,i=p.inlineValues[0];}else if(u){var m=l.getDimensionInfo(c[0]);i=e=Af(l,o,c[0]),n=m.type;}else i=e=f?h[0]:h;var g=di(a),y=g&&a.name||\"\",v=l.getName(o),b=s?y:v;return rd(\"section\",{header:y,noHeader:s||!g,sortParam:i,blocks:[rd(\"nameValue\",{markerType:\"item\",markerColor:d,name:b,noName:!it(b),value:e,valueType:n})].concat(r||[])});}var ad=gi();function od(t,e){return t.getName(e)||t.getId(e);}var sd=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e._selectedDataIndicesMap={},e;}return n(e,t),e.prototype.init=function(t,e,n){this.seriesIndex=this.componentIndex,this.dataTask=Df({count:cd,reset:ud}),this.dataTask.context={model:this},this.mergeDefaultAndTheme(t,n),(ad(this).sourceManager=new Jf(this)).prepareSource();var r=this.getInitialData(t,n);fd(r,this),this.dataTask.context.data=r,ad(this).dataBeforeProcessed=r,ld(this),this._initSelectedMapFromData(r);},e.prototype.mergeDefaultAndTheme=function(t,e){var n=Vu(this),r=n?$u(t):{},i=this.subType;Wu.hasClass(i)&&(i+=\"Series\"),S(t,e.getTheme().get(this.subType)),S(t,this.getDefaultOption()),ai(t,\"label\",[\"show\"]),this.fillDataTextStyle(t.data),n&&Yu(t,r,n);},e.prototype.mergeOption=function(t,e){t=S(this.option,t,!0),this.fillDataTextStyle(t.data);var n=Vu(this);n&&Yu(this.option,t,n);var r=ad(this).sourceManager;r.dirty(),r.prepareSource();var i=this.getInitialData(t,e);fd(i,this),this.dataTask.dirty(),this.dataTask.context.data=i,ad(this).dataBeforeProcessed=i,ld(this),this._initSelectedMapFromData(i);},e.prototype.fillDataTextStyle=function(t){if(t&&!$(t))for(var e=[\"show\"],n=0;n<t.length;n++)t[n]&&t[n].label&&ai(t[n],\"label\",e);},e.prototype.getInitialData=function(t,e){},e.prototype.appendData=function(t){this.getRawData().appendData(t.data);},e.prototype.getData=function(t){var e=pd(this);if(e){var n=e.context.data;return null==t?n:n.getLinkedData(t);}return ad(this).data;},e.prototype.getAllData=function(){var t=this.getData();return t&&t.getLinkedDataAll?t.getLinkedDataAll():[{data:t}];},e.prototype.setData=function(t){var e=pd(this);if(e){var n=e.context;n.outputData=t,e!==this.dataTask&&(n.data=t);}ad(this).data=t;},e.prototype.getEncode=function(){var t=this.get(\"encode\",!0);if(t)return ct(t);},e.prototype.getSourceManager=function(){return ad(this).sourceManager;},e.prototype.getSource=function(){return this.getSourceManager().getSource();},e.prototype.getRawData=function(){return ad(this).dataBeforeProcessed;},e.prototype.getColorBy=function(){return this.get(\"colorBy\")||\"series\";},e.prototype.isColorBySeries=function(){return\"series\"===this.getColorBy();},e.prototype.getBaseAxis=function(){var t=this.coordinateSystem;return t&&t.getBaseAxis&&t.getBaseAxis();},e.prototype.formatTooltip=function(t,e,n){return id({series:this,dataIndex:t,multipleSeries:e});},e.prototype.isAnimationEnabled=function(){if(o.node)return!1;var t=this.getShallow(\"animation\");return t&&this.getData().count()>this.getShallow(\"animationThreshold\")&&(t=!1),!!t;},e.prototype.restoreData=function(){this.dataTask.dirty();},e.prototype.getColorFromPalette=function(t,e,n){var r=this.ecModel,i=wh.prototype.getColorFromPalette.call(this,t,e,n);return i||(i=r.getColorFromPalette(t,e,n)),i;},e.prototype.coordDimToDataDim=function(t){return this.getRawData().mapDimensionsAll(t);},e.prototype.getProgressive=function(){return this.get(\"progressive\");},e.prototype.getProgressiveThreshold=function(){return this.get(\"progressiveThreshold\");},e.prototype.select=function(t,e){this._innerSelect(this.getData(e),t);},e.prototype.unselect=function(t,e){var n=this.option.selectedMap;if(n)for(var r=this.getData(e),i=0;i<t.length;i++){var a=od(r,t[i]);n[a]=!1,this._selectedDataIndicesMap[a]=-1;}},e.prototype.toggleSelect=function(t,e){for(var n=[],r=0;r<t.length;r++)n[0]=t[r],this.isSelected(t[r],e)?this.unselect(n,e):this.select(n,e);},e.prototype.getSelectedDataIndices=function(){for(var t=this._selectedDataIndicesMap,e=R(t),n=[],r=0;r<e.length;r++){var i=t[e[r]];i>=0&&n.push(i);}return n;},e.prototype.isSelected=function(t,e){var n=this.option.selectedMap;return n&&n[od(this.getData(e),t)]||!1;},e.prototype.isUniversalTransitionEnabled=function(){if(this.__universalTransitionEnabled)return!0;var t=this.option.universalTransition;return!!t&&(!0===t||t&&t.enabled);},e.prototype._innerSelect=function(t,e){var n,r,i=this.option.selectedMode,a=e.length;if(i&&a)if(\"multiple\"===i)for(var o=this.option.selectedMap||(this.option.selectedMap={}),s=0;s<a;s++){var l=e[s];o[u=od(t,l)]=!0,this._selectedDataIndicesMap[u]=t.getRawIndex(l);}else if(\"single\"===i||!0===i){var c=e[a-1],u=od(t,c);this.option.selectedMap=((n={})[u]=!0,n),this._selectedDataIndicesMap=((r={})[u]=t.getRawIndex(c),r);}},e.prototype._initSelectedMapFromData=function(t){if(!this.option.selectedMap){var e=[];t.hasItemOption&&t.each(function(n){var r=t.getRawDataItem(n);r&&r.selected&&e.push(n);}),e.length>0&&this._innerSelect(t,e);}},e.registerClass=function(t){return Wu.registerClass(t);},e.protoInitialize=function(){var t=e.prototype;t.type=\"series.__base__\",t.seriesIndex=0,t.ignoreStyleOnData=!1,t.hasSymbolVisual=!1,t.defaultSymbol=\"circle\",t.visualStyleAccessPath=\"itemStyle\",t.visualDrawType=\"fill\";}(),e;}(Wu);function ld(t){var e=t.name;di(t)||(t.name=function(t){var e=t.getRawData(),n=e.mapDimensionsAll(\"seriesName\"),r=[];return O(n,function(t){var n=e.getDimensionInfo(t);n.displayName&&r.push(n.displayName);}),r.join(\" \");}(t)||e);}function cd(t){return t.model.getRawData().count();}function ud(t){var e=t.model;return e.setData(e.getRawData().cloneShallow()),hd;}function hd(t,e){e.outputData&&t.end>e.outputData.count()&&e.model.getRawData().cloneShallow(e.outputData);}function fd(t,e){O(ut(t.CHANGABLE_METHODS,t.DOWNSAMPLE_METHODS),function(n){t.wrapMethod(n,P(dd,e));});}function dd(t,e){var n=pd(t);return n&&n.setOutputEnd((e||this).count()),e;}function pd(t){var e=(t.ecModel||{}).scheduler,n=e&&e.getPipeline(t.uid);if(n){var r=n.currentTask;if(r){var i=r.agentStubMap;i&&(r=i.get(t.uid));}return r;}}N(sd,Nf),N(sd,wh),Ai(sd,Wu);var md=function(){function t(){this.group=new Tr(),this.uid=$c(\"viewComponent\");}return t.prototype.init=function(t,e){},t.prototype.render=function(t,e,n,r){},t.prototype.dispose=function(t,e){},t.prototype.updateView=function(t,e,n,r){},t.prototype.updateLayout=function(t,e,n,r){},t.prototype.updateVisual=function(t,e,n,r){},t.prototype.blurSeries=function(t,e){},t;}();function gd(){var t=gi();return function(e){var n=t(e),r=e.pipelineContext,i=!!n.large,a=!!n.progressiveRender,o=n.large=!(!r||!r.large),s=n.progressiveRender=!(!r||!r.progressiveRender);return!(i===o&&a===s)&&\"reset\";};}Mi(md),Oi(md);var yd=gi(),vd=gd(),bd=function(){function t(){this.group=new Tr(),this.uid=$c(\"viewChart\"),this.renderTask=Df({plan:wd,reset:kd}),this.renderTask.context={view:this};}return t.prototype.init=function(t,e){},t.prototype.render=function(t,e,n,r){},t.prototype.highlight=function(t,e,n,r){xd(t.getData(),r,\"emphasis\");},t.prototype.downplay=function(t,e,n,r){xd(t.getData(),r,\"normal\");},t.prototype.remove=function(t,e){this.group.removeAll();},t.prototype.dispose=function(t,e){},t.prototype.updateView=function(t,e,n,r){this.render(t,e,n,r);},t.prototype.updateLayout=function(t,e,n,r){this.render(t,e,n,r);},t.prototype.updateVisual=function(t,e,n,r){this.render(t,e,n,r);},t.markUpdateMethod=function(t,e){yd(t).updateMethod=e;},t.protoInitialize=void(t.prototype.type=\"chart\"),t;}();function _d(t,e,n){t&&(\"emphasis\"===e?Ms:Ts)(t,n);}function xd(t,e,n){var r=mi(t,e),i=e&&null!=e.highlightKey?function(t){var e=ts[t];return null==e&&Jo<=32&&(e=ts[t]=Jo++),e;}(e.highlightKey):null;null!=r?O(ii(r),function(e){_d(t.getItemGraphicEl(e),n,i);}):t.eachItemGraphicEl(function(t){_d(t,n,i);});}function wd(t){return vd(t.model);}function kd(t){var e=t.model,n=t.ecModel,r=t.api,i=t.payload,a=e.pipelineContext.progressiveRender,o=t.view,s=i&&yd(i).updateMethod,l=a?\"incrementalPrepareRender\":s&&o[s]?s:\"render\";return\"render\"!==l&&o[l](e,n,r,i),Sd[l];}Mi(bd),Oi(bd);var Sd={incrementalPrepareRender:{progress:function(t,e){e.view.incrementalRender(t,e.model,e.ecModel,e.api,e.payload);}},render:{forceFirstProgress:!0,progress:function(t,e){e.view.render(e.model,e.ecModel,e.api,e.payload);}}};function Cd(t,e,n){var r,i,a,o,s,l=0,c=0,u=null;function h(){c=new Date().getTime(),u=null,t.apply(a,o||[]);}e=e||0;var f=function(){for(var t=[],f=0;f<arguments.length;f++)t[f]=arguments[f];r=new Date().getTime(),a=this,o=t;var d=s||e,p=s||n;s=null,i=r-(p?l:c)-d,clearTimeout(u),p?u=setTimeout(h,d):i>=0?h():u=setTimeout(h,-i),l=r;};return f.clear=function(){u&&(clearTimeout(u),u=null);},f.debounceNextCall=function(t){s=t;},f;}var Md=gi(),Td={itemStyle:Ii(jc,!0),lineStyle:Ii(Pc,!0)},Ad={lineStyle:\"stroke\",itemStyle:\"fill\"};function Ed(t,e){var n=t.visualStyleMapper||Td[e];return n||(console.warn(\"Unkown style type '\"+e+\"'.\"),Td.itemStyle);}function Nd(t,e){var n=t.visualDrawType||Ad[e];return n||(console.warn(\"Unkown style type '\"+e+\"'.\"),\"fill\");}var Dd={createOnAllSeries:!0,performRawSeries:!0,reset:function(t,e){var n=t.getData(),r=t.visualStyleAccessPath||\"itemStyle\",i=t.getModel(r),a=Ed(t,r)(i),o=i.getShallow(\"decal\");o&&(n.setVisual(\"decal\",o),o.dirty=!0);var s=Nd(t,r),l=a[s],c=q(l)?l:null,u=\"auto\"===a.fill||\"auto\"===a.stroke;if(!a[s]||c||u){var h=t.getColorFromPalette(t.name,null,e.getSeriesCount());a[s]||(a[s]=h,n.setVisual(\"colorFromPalette\",!0)),a.fill=\"auto\"===a.fill||\"function\"==typeof a.fill?h:a.fill,a.stroke=\"auto\"===a.stroke||\"function\"==typeof a.stroke?h:a.stroke;}if(n.setVisual(\"style\",a),n.setVisual(\"drawType\",s),!e.isSeriesFiltered(t)&&c)return n.setVisual(\"colorFromPalette\",!1),{dataEach:function(e,n){var r=t.getDataParams(n),i=C({},a);i[s]=c(r),e.setItemVisual(n,\"style\",i);}};}},Od=new Vc(),Id={createOnAllSeries:!0,performRawSeries:!0,reset:function(t,e){if(!t.ignoreStyleOnData&&!e.isSeriesFiltered(t)){var n=t.getData(),r=t.visualStyleAccessPath||\"itemStyle\",i=Ed(t,r),a=n.getVisual(\"drawType\");return{dataEach:n.hasItemOption?function(t,e){var n=t.getRawDataItem(e);if(n&&n[r]){Od.option=n[r];var o=i(Od);C(t.ensureUniqueItemVisual(e,\"style\"),o),Od.option.decal&&(t.setItemVisual(e,\"decal\",Od.option.decal),Od.option.decal.dirty=!0),a in o&&t.setItemVisual(e,\"colorFromPalette\",!1);}}:null};}}},Ld={performRawSeries:!0,overallReset:function(t){var e=ct();t.eachSeries(function(t){var n=t.getColorBy();if(!t.isColorBySeries()){var r=t.type+\"-\"+n,i=e.get(r);i||(i={},e.set(r,i)),Md(t).scope=i;}}),t.eachSeries(function(e){if(!e.isColorBySeries()&&!t.isSeriesFiltered(e)){var n=e.getRawData(),r={},i=e.getData(),a=Md(e).scope,o=e.visualStyleAccessPath||\"itemStyle\",s=Nd(e,o);i.each(function(t){var e=i.getRawIndex(t);r[e]=t;}),n.each(function(t){var o=r[t];if(i.getItemVisual(o,\"colorFromPalette\")){var l=i.ensureUniqueItemVisual(o,\"style\"),c=n.getName(t)||t+\"\",u=n.count();l[s]=e.getColorFromPalette(c,a,u);}});}});}},Bd=Math.PI,Rd=function(){function t(t,e,n,r){this._stageTaskMap=ct(),this.ecInstance=t,this.api=e,n=this._dataProcessorHandlers=n.slice(),r=this._visualHandlers=r.slice(),this._allHandlers=n.concat(r);}return t.prototype.restoreData=function(t,e){t.restoreData(e),this._stageTaskMap.each(function(t){var e=t.overallTask;e&&e.dirty();});},t.prototype.getPerformArgs=function(t,e){if(t.__pipeline){var n=this._pipelineMap.get(t.__pipeline.id),r=n.context,i=!e&&n.progressiveEnabled&&(!r||r.progressiveRender)&&t.__idxInPipeline>n.blockIndex?n.step:null,a=r&&r.modDataCount;return{step:i,modBy:null!=a?Math.ceil(a/i):null,modDataCount:a};}},t.prototype.getPipeline=function(t){return this._pipelineMap.get(t);},t.prototype.updateStreamModes=function(t,e){var n=this._pipelineMap.get(t.uid),r=t.getData().count(),i=n.progressiveEnabled&&e.incrementalPrepareRender&&r>=n.threshold,a=t.get(\"large\")&&r>=t.get(\"largeThreshold\"),o=\"mod\"===t.get(\"progressiveChunkMode\")?r:null;t.pipelineContext=n.context={progressiveRender:i,modDataCount:o,large:a};},t.prototype.restorePipelines=function(t){var e=this,n=e._pipelineMap=ct();t.eachSeries(function(t){var r=t.getProgressive(),i=t.uid;n.set(i,{id:i,head:null,tail:null,threshold:t.getProgressiveThreshold(),progressiveEnabled:r&&!(t.preventIncremental&&t.preventIncremental()),blockIndex:-1,step:Math.round(r||700),count:0}),e._pipe(t,t.dataTask);});},t.prototype.prepareStageTasks=function(){var t=this._stageTaskMap,e=this.api.getModel(),n=this.api;O(this._allHandlers,function(r){var i=t.get(r.uid)||t.set(r.uid,{}),a=\"\";rt(!(r.reset&&r.overallReset),a),r.reset&&this._createSeriesStageTask(r,i,e,n),r.overallReset&&this._createOverallStageTask(r,i,e,n);},this);},t.prototype.prepareView=function(t,e,n,r){var i=t.renderTask,a=i.context;a.model=e,a.ecModel=n,a.api=r,i.__block=!t.incrementalPrepareRender,this._pipe(e,i);},t.prototype.performDataProcessorTasks=function(t,e){this._performStageTasks(this._dataProcessorHandlers,t,e,{block:!0});},t.prototype.performVisualTasks=function(t,e,n){this._performStageTasks(this._visualHandlers,t,e,n);},t.prototype._performStageTasks=function(t,e,n,r){r=r||{};var i=!1,a=this;function o(t,e){return t.setDirty&&(!t.dirtyMap||t.dirtyMap.get(e.__pipeline.id));}O(t,function(t,s){if(!r.visualType||r.visualType===t.visualType){var l=a._stageTaskMap.get(t.uid),c=l.seriesTaskMap,u=l.overallTask;if(u){var h,f=u.agentStubMap;f.each(function(t){o(r,t)&&(t.dirty(),h=!0);}),h&&u.dirty(),a.updatePayload(u,n);var d=a.getPerformArgs(u,r.block);f.each(function(t){t.perform(d);}),u.perform(d)&&(i=!0);}else c&&c.each(function(s,l){o(r,s)&&s.dirty();var c=a.getPerformArgs(s,r.block);c.skip=!t.performRawSeries&&e.isSeriesFiltered(s.context.model),a.updatePayload(s,n),s.perform(c)&&(i=!0);});}}),this.unfinished=i||this.unfinished;},t.prototype.performSeriesTasks=function(t){var e;t.eachSeries(function(t){e=t.dataTask.perform()||e;}),this.unfinished=e||this.unfinished;},t.prototype.plan=function(){this._pipelineMap.each(function(t){var e=t.tail;do{if(e.__block){t.blockIndex=e.__idxInPipeline;break;}e=e.getUpstream();}while(e);});},t.prototype.updatePayload=function(t,e){\"remain\"!==e&&(t.context.payload=e);},t.prototype._createSeriesStageTask=function(t,e,n,r){var i=this,a=e.seriesTaskMap,o=e.seriesTaskMap=ct(),s=t.seriesType,l=t.getTargetSeries;function c(e){var s=e.uid,l=o.set(s,a&&a.get(s)||Df({plan:jd,reset:Ud,count:Yd}));l.context={model:e,ecModel:n,api:r,useClearVisual:t.isVisual&&!t.isLayout,plan:t.plan,reset:t.reset,scheduler:i},i._pipe(e,l);}t.createOnAllSeries?n.eachRawSeries(c):s?n.eachRawSeriesByType(s,c):l&&l(n,r).each(c);},t.prototype._createOverallStageTask=function(t,e,n,r){var i=this,a=e.overallTask=e.overallTask||Df({reset:zd});a.context={ecModel:n,api:r,overallReset:t.overallReset,scheduler:i};var o=a.agentStubMap,s=a.agentStubMap=ct(),l=t.seriesType,c=t.getTargetSeries,u=!0,h=!1,f=\"\";function d(t){var e=t.uid,n=s.set(e,o&&o.get(e)||(h=!0,Df({reset:Pd,onDirty:qd})));n.context={model:t,overallProgress:u},n.agent=a,n.__block=u,i._pipe(t,n);}rt(!t.createOnAllSeries,f),l?n.eachRawSeriesByType(l,d):c?c(n,r).each(d):(u=!1,O(n.getSeries(),d)),h&&a.dirty();},t.prototype._pipe=function(t,e){var n=t.uid,r=this._pipelineMap.get(n);!r.head&&(r.head=e),r.tail&&r.tail.pipe(e),r.tail=e,e.__idxInPipeline=r.count++,e.__pipeline=r;},t.wrapStageHandler=function(t,e){return q(t)&&(t={overallReset:t,seriesType:$d(t)}),t.uid=$c(\"stageHandler\"),e&&(t.visualType=e),t;},t;}();function zd(t){t.overallReset(t.ecModel,t.api,t.payload);}function Pd(t){return t.overallProgress&&Fd;}function Fd(){this.agent.dirty(),this.getDownstream().dirty();}function qd(){this.agent&&this.agent.dirty();}function jd(t){return t.plan?t.plan(t.model,t.ecModel,t.api,t.payload):null;}function Ud(t){t.useClearVisual&&t.data.clearAllVisual();var e=t.resetDefines=ii(t.reset(t.model,t.ecModel,t.api,t.payload));return e.length>1?I(e,function(t,e){return Vd(e);}):Hd;}var Hd=Vd(0);function Vd(t){return function(e,n){var r=n.data,i=n.resetDefines[t];if(i&&i.dataEach)for(var a=e.start;a<e.end;a++)i.dataEach(r,a);else i&&i.progress&&i.progress(e,r);};}function Yd(t){return t.data.count();}function $d(t){Gd=null;try{t(Wd,Xd);}catch(t){}return Gd;}var Gd,Wd={},Xd={};function Zd(t,e){for(var n in e.prototype)t[n]=dt;}Zd(Wd,Ch),Zd(Xd,Nh),Wd.eachSeriesByType=Wd.eachRawSeriesByType=function(t){Gd=t;},Wd.eachComponent=function(t){\"series\"===t.mainType&&t.subType&&(Gd=t.subType);};var Kd=[\"#37A2DA\",\"#32C5E9\",\"#67E0E3\",\"#9FE6B8\",\"#FFDB5C\",\"#ff9f7f\",\"#fb7293\",\"#E062AE\",\"#E690D1\",\"#e7bcf3\",\"#9d96f5\",\"#8378EA\",\"#96BFFF\"],Qd={color:Kd,colorLayer:[[\"#37A2DA\",\"#ffd85c\",\"#fd7b5f\"],[\"#37A2DA\",\"#67E0E3\",\"#FFDB5C\",\"#ff9f7f\",\"#E062AE\",\"#9d96f5\"],[\"#37A2DA\",\"#32C5E9\",\"#9FE6B8\",\"#FFDB5C\",\"#ff9f7f\",\"#fb7293\",\"#e7bcf3\",\"#8378EA\",\"#96BFFF\"],Kd]},Jd=\"#B9B8CE\",tp=\"#100C2A\",ep=function(){return{axisLine:{lineStyle:{color:Jd}},splitLine:{lineStyle:{color:\"#484753\"}},splitArea:{areaStyle:{color:[\"rgba(255,255,255,0.02)\",\"rgba(255,255,255,0.05)\"]}},minorSplitLine:{lineStyle:{color:\"#20203B\"}}};},np=[\"#4992ff\",\"#7cffb2\",\"#fddd60\",\"#ff6e76\",\"#58d9f9\",\"#05c091\",\"#ff8a45\",\"#8d48e3\",\"#dd79ff\"],rp={darkMode:!0,color:np,backgroundColor:tp,axisPointer:{lineStyle:{color:\"#817f91\"},crossStyle:{color:\"#817f91\"},label:{color:\"#fff\"}},legend:{textStyle:{color:Jd}},textStyle:{color:Jd},title:{textStyle:{color:\"#EEF1FA\"},subtextStyle:{color:\"#B9B8CE\"}},toolbox:{iconStyle:{borderColor:Jd}},dataZoom:{borderColor:\"#71708A\",textStyle:{color:Jd},brushStyle:{color:\"rgba(135,163,206,0.3)\"},handleStyle:{color:\"#353450\",borderColor:\"#C5CBE3\"},moveHandleStyle:{color:\"#B0B6C3\",opacity:.3},fillerColor:\"rgba(135,163,206,0.2)\",emphasis:{handleStyle:{borderColor:\"#91B7F2\",color:\"#4D587D\"},moveHandleStyle:{color:\"#636D9A\",opacity:.7}},dataBackground:{lineStyle:{color:\"#71708A\",width:1},areaStyle:{color:\"#71708A\"}},selectedDataBackground:{lineStyle:{color:\"#87A3CE\"},areaStyle:{color:\"#87A3CE\"}}},visualMap:{textStyle:{color:Jd}},timeline:{lineStyle:{color:Jd},label:{color:Jd},controlStyle:{color:Jd,borderColor:Jd}},calendar:{itemStyle:{color:tp},dayLabel:{color:Jd},monthLabel:{color:Jd},yearLabel:{color:Jd}},timeAxis:ep(),logAxis:ep(),valueAxis:ep(),categoryAxis:ep(),line:{symbol:\"circle\"},graph:{color:np},gauge:{title:{color:Jd},axisLine:{lineStyle:{color:[[1,\"rgba(207,212,219,0.2)\"]]}},axisLabel:{color:Jd},detail:{color:\"#EEF1FA\"}},candlestick:{itemStyle:{color:\"#f64e56\",color0:\"#54ea92\",borderColor:\"#f64e56\",borderColor0:\"#54ea92\"}}};rp.categoryAxis.splitLine.show=!1;var ip=function(){function t(){}return t.prototype.normalizeQuery=function(t){var e={},n={},r={};if(j(t)){var i=Ci(t);e.mainType=i.main||null,e.subType=i.sub||null;}else{var a=[\"Index\",\"Name\",\"Id\"],o={name:1,dataIndex:1,dataType:1};O(t,function(t,i){for(var s=!1,l=0;l<a.length;l++){var c=a[l],u=i.lastIndexOf(c);if(u>0&&u===i.length-c.length){var h=i.slice(0,u);\"data\"!==h&&(e.mainType=h,e[c.toLowerCase()]=t,s=!0);}}o.hasOwnProperty(i)&&(n[i]=t,s=!0),s||(r[i]=t);});}return{cptQuery:e,dataQuery:n,otherQuery:r};},t.prototype.filter=function(t,e){var n=this.eventInfo;if(!n)return!0;var r=n.targetEl,i=n.packedEvent,a=n.model,o=n.view;if(!a||!o)return!0;var s=e.cptQuery,l=e.dataQuery;return c(s,a,\"mainType\")&&c(s,a,\"subType\")&&c(s,a,\"index\",\"componentIndex\")&&c(s,a,\"name\")&&c(s,a,\"id\")&&c(l,i,\"name\")&&c(l,i,\"dataIndex\")&&c(l,i,\"dataType\")&&(!o.filterForExposedEvent||o.filterForExposedEvent(t,e.otherQuery,r,i));function c(t,e,n,r){return null==t[n]||e[r||n]===t[n];}},t.prototype.afterTrigger=function(){this.eventInfo=null;},t;}(),ap={createOnAllSeries:!0,performRawSeries:!0,reset:function(t,e){var n=t.getData();if(t.legendIcon&&n.setVisual(\"legendIcon\",t.legendIcon),t.hasSymbolVisual){var r=t.get(\"symbol\"),i=t.get(\"symbolSize\"),a=t.get(\"symbolKeepAspect\"),o=t.get(\"symbolRotate\"),s=t.get(\"symbolOffset\"),l=q(r),c=q(i),u=q(o),h=q(s),f=l||c||u||h,d=!l&&r?r:t.defaultSymbol,p=c?null:i,m=u?null:o,g=h?null:s;if(n.setVisual({legendIcon:t.legendIcon||d,symbol:d,symbolSize:p,symbolKeepAspect:a,symbolRotate:m,symbolOffset:g}),!e.isSeriesFiltered(t))return{dataEach:f?function(e,n){var a=t.getRawValue(n),f=t.getDataParams(n);l&&e.setItemVisual(n,\"symbol\",r(a,f)),c&&e.setItemVisual(n,\"symbolSize\",i(a,f)),u&&e.setItemVisual(n,\"symbolRotate\",o(a,f)),h&&e.setItemVisual(n,\"symbolOffset\",s(a,f));}:null};}}};function op(t,e,n,r,i){var a=t+e;n.isSilent(a)||r.eachComponent({mainType:\"series\",subType:\"pie\"},function(t){for(var e=t.seriesIndex,r=i.selected,o=0;o<r.length;o++)if(r[o].seriesIndex===e){var s=t.getData(),l=mi(s,i.fromActionPayload);n.trigger(a,{type:a,seriesId:t.id,name:F(l)?s.getName(l[0]):s.getName(l),selected:C({},t.option.selectedMap)});}});}function sp(t,e,n){for(var r;t&&(!e(t)||(r=t,!n));)t=t.__hostTarget||t.parent;return r;}var lp=Math.round(9*Math.random()),cp=\"function\"==typeof Object.defineProperty,up=function(){function t(){this._id=\"__ec_inner_\"+lp++;}return t.prototype.get=function(t){return this._guard(t)[this._id];},t.prototype.set=function(t,e){var n=this._guard(t);return cp?Object.defineProperty(n,this._id,{value:e,enumerable:!1,configurable:!0}):n[this._id]=e,this;},t.prototype.delete=function(t){return!!this.has(t)&&(delete this._guard(t)[this._id],!0);},t.prototype.has=function(t){return!!this._guard(t)[this._id];},t.prototype._guard=function(t){if(t!==Object(t))throw TypeError(\"Value of WeakMap is not a non-null object.\");return t;},t;}(),hp=No.extend({type:\"triangle\",shape:{cx:0,cy:0,width:0,height:0},buildPath:function(t,e){var n=e.cx,r=e.cy,i=e.width/2,a=e.height/2;t.moveTo(n,r-a),t.lineTo(n+i,r+a),t.lineTo(n-i,r+a),t.closePath();}}),fp=No.extend({type:\"diamond\",shape:{cx:0,cy:0,width:0,height:0},buildPath:function(t,e){var n=e.cx,r=e.cy,i=e.width/2,a=e.height/2;t.moveTo(n,r-a),t.lineTo(n+i,r),t.lineTo(n,r+a),t.lineTo(n-i,r),t.closePath();}}),dp=No.extend({type:\"pin\",shape:{x:0,y:0,width:0,height:0},buildPath:function(t,e){var n=e.x,r=e.y,i=e.width/5*3,a=Math.max(i,e.height),o=i/2,s=o*o/(a-o),l=r-a+o+s,c=Math.asin(s/o),u=Math.cos(c)*o,h=Math.sin(c),f=Math.cos(c),d=.6*o,p=.7*o;t.moveTo(n-u,l+s),t.arc(n,l,o,Math.PI-c,2*Math.PI+c),t.bezierCurveTo(n+u-h*d,l+s+f*d,n,r-p,n,r),t.bezierCurveTo(n,r-p,n-u+h*d,l+s+f*d,n-u,l+s),t.closePath();}}),pp=No.extend({type:\"arrow\",shape:{x:0,y:0,width:0,height:0},buildPath:function(t,e){var n=e.height,r=e.width,i=e.x,a=e.y,o=r/3*2;t.moveTo(i,a),t.lineTo(i+o,a+n),t.lineTo(i,a+n/4*3),t.lineTo(i-o,a+n),t.lineTo(i,a),t.closePath();}}),mp={line:function(t,e,n,r,i){i.x1=t,i.y1=e+r/2,i.x2=t+n,i.y2=e+r/2;},rect:function(t,e,n,r,i){i.x=t,i.y=e,i.width=n,i.height=r;},roundRect:function(t,e,n,r,i){i.x=t,i.y=e,i.width=n,i.height=r,i.r=Math.min(n,r)/4;},square:function(t,e,n,r,i){var a=Math.min(n,r);i.x=t,i.y=e,i.width=a,i.height=a;},circle:function(t,e,n,r,i){i.cx=t+n/2,i.cy=e+r/2,i.r=Math.min(n,r)/2;},diamond:function(t,e,n,r,i){i.cx=t+n/2,i.cy=e+r/2,i.width=n,i.height=r;},pin:function(t,e,n,r,i){i.x=t+n/2,i.y=e+r/2,i.width=n,i.height=r;},arrow:function(t,e,n,r,i){i.x=t+n/2,i.y=e+r/2,i.width=n,i.height=r;},triangle:function(t,e,n,r,i){i.cx=t+n/2,i.cy=e+r/2,i.width=n,i.height=r;}},gp={};O({line:Pl,rect:qo,roundRect:qo,square:qo,circle:ul,diamond:fp,pin:dp,arrow:pp,triangle:hp},function(t,e){gp[e]=new t();});var yp=No.extend({type:\"symbol\",shape:{symbolType:\"\",x:0,y:0,width:0,height:0},calculateTextPosition:function(t,e,n){var r=gr(t,e,n),i=this.shape;return i&&\"pin\"===i.symbolType&&\"inside\"===e.position&&(r.y=n.y+.4*n.height),r;},buildPath:function(t,e,n){var r=e.symbolType;if(\"none\"!==r){var i=gp[r];i||(i=gp[r=\"rect\"]),mp[r](e.x,e.y,e.width,e.height,i.shape),i.buildPath(t,i.shape,n);}}});function vp(t,e){if(\"image\"!==this.type){var n=this.style;this.__isEmptyBrush?(n.stroke=t,n.fill=e||\"#fff\",n.lineWidth=2):\"line\"===this.shape.symbolType?n.stroke=t:n.fill=t,this.markRedraw();}}function bp(t,e,n,r,i,a,o){var s,l=0===t.indexOf(\"empty\");return l&&(t=t.substr(5,1).toLowerCase()+t.substr(6)),(s=0===t.indexOf(\"image://\")?yc(t.slice(8),new ar(e,n,r,i),o?\"center\":\"cover\"):0===t.indexOf(\"path://\")?gc(t.slice(7),{},new ar(e,n,r,i),o?\"center\":\"cover\"):new yp({shape:{symbolType:t,x:e,y:n,width:r,height:i}})).__isEmptyBrush=l,s.setColor=vp,a&&s.setColor(a),s;}function _p(t,e){if(null!=t)return F(t)||(t=[t,t]),[zr(t[0],e[0])||0,zr(J(t[1],t[0]),e[1])||0];}function xp(t,e,n){for(var r=\"radial\"===e.type?function(t,e,n){var r=n.width,i=n.height,a=Math.min(r,i),o=null==e.x?.5:e.x,s=null==e.y?.5:e.y,l=null==e.r?.5:e.r;return e.global||(o=o*r+n.x,s=s*i+n.y,l*=a),t.createRadialGradient(o,s,0,o,s,l);}(t,e,n):function(t,e,n){var r=null==e.x?0:e.x,i=null==e.x2?1:e.x2,a=null==e.y?0:e.y,o=null==e.y2?0:e.y2;return e.global||(r=r*n.width+n.x,i=i*n.width+n.x,a=a*n.height+n.y,o=o*n.height+n.y),r=isNaN(r)?0:r,i=isNaN(i)?1:i,a=isNaN(a)?0:a,o=isNaN(o)?0:o,t.createLinearGradient(r,a,i,o);}(t,e,n),i=e.colorStops,a=0;a<i.length;a++)r.addColorStop(i[a].offset,i[a].color);return r;}function wp(t,e){return t&&\"solid\"!==t&&e>0?(e=e||1,\"dashed\"===t?[4*e,2*e]:\"dotted\"===t?[e]:H(t)?[t]:F(t)?t:null):null;}var kp=new co(!0);function Sp(t){var e=t.stroke;return!(null==e||\"none\"===e||!(t.lineWidth>0));}function Cp(t){return\"string\"==typeof t&&\"none\"!==t;}function Mp(t){var e=t.fill;return null!=e&&\"none\"!==e;}function Tp(t,e){if(null!=e.fillOpacity&&1!==e.fillOpacity){var n=t.globalAlpha;t.globalAlpha=e.fillOpacity*e.opacity,t.fill(),t.globalAlpha=n;}else t.fill();}function Ap(t,e){if(null!=e.strokeOpacity&&1!==e.strokeOpacity){var n=t.globalAlpha;t.globalAlpha=e.strokeOpacity*e.opacity,t.stroke(),t.globalAlpha=n;}else t.stroke();}function Ep(t,e,n){var r=Pi(e.image,e.__image,n);if(qi(r)){var i=t.createPattern(r,e.repeat||\"repeat\");if(\"function\"==typeof DOMMatrix&&i.setTransform){var a=new DOMMatrix();a.rotateSelf(0,0,(e.rotation||0)/Math.PI*180),a.scaleSelf(e.scaleX||1,e.scaleY||1),a.translateSelf(e.x||0,e.y||0),i.setTransform(a);}return i;}}var Np=[\"shadowBlur\",\"shadowOffsetX\",\"shadowOffsetY\"],Dp=[[\"lineCap\",\"butt\"],[\"lineJoin\",\"miter\"],[\"miterLimit\",10]];function Op(t,e,n,r,i){var a=!1;if(!r&&e===(n=n||{}))return!1;if(r||e.opacity!==n.opacity){a||(Bp(t,i),a=!0);var 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r,i,a;if(V(e)&&(n=e.lazyUpdate,r=e.silent,i=e.replaceMerge,a=e.transition,e=e.notMerge),this.__flagInMainProcess=!0,!this._model||e){var o=new Lh(this._api),s=this._theme,l=this._model=new Ch();l.scheduler=this._scheduler,l.init(null,null,null,s,this._locale,o);}this._model.setOption(t,{replaceMerge:i},xg);var c={seriesTransition:a,optionChanged:!0};n?(this.__pendingUpdate={silent:r,updateParams:c},this.__flagInMainProcess=!1,this.getZr().wakeUp()):(Gm(this),Zm.update.call(this,null,c),this._zr.flush(),this.__pendingUpdate=null,this.__flagInMainProcess=!1,tg.call(this,r),eg.call(this,r));}},e.prototype.setTheme=function(){console.error(\"ECharts#setTheme() is DEPRECATED in ECharts 3.0\");},e.prototype.getModel=function(){return this._model;},e.prototype.getOption=function(){return this._model&&this._model.getOption();},e.prototype.getWidth=function(){return this._zr.getWidth();},e.prototype.getHeight=function(){return this._zr.getHeight();},e.prototype.getDevicePixelRatio=function(){return this._zr.painter.dpr||Pm&&window.devicePixelRatio||1;},e.prototype.getRenderedCanvas=function(t){if(o.canvasSupported)return t=t||{},this._zr.painter.getRenderedCanvas({backgroundColor:t.backgroundColor||this._model.get(\"backgroundColor\"),pixelRatio:t.pixelRatio||this.getDevicePixelRatio()});},e.prototype.getSvgDataURL=function(){if(o.svgSupported){var t=this._zr;return O(t.storage.getDisplayList(),function(t){t.stopAnimation(null,!0);}),t.painter.toDataURL();}},e.prototype.getDataURL=function(t){if(!this._disposed){var e=(t=t||{}).excludeComponents,n=this._model,r=[],i=this;O(e,function(t){n.eachComponent({mainType:t},function(t){var e=i._componentsMap[t.__viewId];e.group.ignore||(r.push(e),e.group.ignore=!0);});});var a=\"svg\"===this._zr.painter.getType()?this.getSvgDataURL():this.getRenderedCanvas(t).toDataURL(\"image/\"+(t&&t.type||\"png\"));return O(r,function(t){t.group.ignore=!1;}),a;}yg(this.id);},e.prototype.getConnectedDataURL=function(t){if(this._disposed)yg(this.id);else if(o.canvasSupported){var e=\"svg\"===t.type,n=this.group,r=Math.min,i=Math.max,a=1/0;if(Mg[n]){var s=a,l=a,c=-1/0,u=-1/0,h=[],f=t&&t.pixelRatio||this.getDevicePixelRatio();O(Cg,function(a,o){if(a.group===n){var f=e?a.getZr().painter.getSvgDom().innerHTML:a.getRenderedCanvas(k(t)),d=a.getDom().getBoundingClientRect();s=r(d.left,s),l=r(d.top,l),c=i(d.right,c),u=i(d.bottom,u),h.push({dom:f,left:d.left,top:d.top});}});var d=(c*=f)-(s*=f),p=(u*=f)-(l*=f),m=T(),g=Or(m,{renderer:e?\"svg\":\"canvas\"});if(g.resize({width:d,height:p}),e){var y=\"\";return O(h,function(t){var e=t.left-s,n=t.top-l;y+='<g transform=\"translate('+e+\",\"+n+')\">'+t.dom+\"</g>\";}),g.painter.getSvgRoot().innerHTML=y,t.connectedBackgroundColor&&g.painter.setBackgroundColor(t.connectedBackgroundColor),g.refreshImmediately(),g.painter.toDataURL();}return t.connectedBackgroundColor&&g.add(new qo({shape:{x:0,y:0,width:d,height:p},style:{fill:t.connectedBackgroundColor}})),O(h,function(t){var e=new Bo({style:{x:t.left*f-s,y:t.top*f-l,image:t.dom}});g.add(e);}),g.refreshImmediately(),m.toDataURL(\"image/\"+(t&&t.type||\"png\"));}return this.getDataURL(t);}},e.prototype.convertToPixel=function(t,e){return Km(this,\"convertToPixel\",t,e);},e.prototype.convertFromPixel=function(t,e){return Km(this,\"convertFromPixel\",t,e);},e.prototype.containPixel=function(t,e){var n;if(!this._disposed)return O(vi(this._model,t),function(t,r){r.indexOf(\"Models\")>=0&&O(t,function(t){var i=t.coordinateSystem;if(i&&i.containPoint)n=n||!!i.containPoint(e);else if(\"seriesModels\"===r){var a=this._chartsMap[t.__viewId];a&&a.containPoint&&(n=n||a.containPoint(e,t));}},this);},this),!!n;yg(this.id);},e.prototype.getVisual=function(t,e){var n=vi(this._model,t,{defaultMainType:\"series\"}),r=n.seriesModel,i=r.getData(),a=n.hasOwnProperty(\"dataIndexInside\")?n.dataIndexInside:n.hasOwnProperty(\"dataIndex\")?i.indexOfRawIndex(n.dataIndex):null;return null!=a?function(t,e,n){switch(n){case\"color\":return t.getItemVisual(e,\"style\")[t.getVisual(\"drawType\")];case\"opacity\":return t.getItemVisual(e,\"style\").opacity;case\"symbol\":case\"symbolSize\":case\"liftZ\":return t.getItemVisual(e,n);}}(i,a,e):function(t,e){switch(e){case\"color\":return t.getVisual(\"style\")[t.getVisual(\"drawType\")];case\"opacity\":return t.getVisual(\"style\").opacity;case\"symbol\":case\"symbolSize\":case\"liftZ\":return t.getVisual(e);}}(i,e);},e.prototype.getViewOfComponentModel=function(t){return this._componentsMap[t.__viewId];},e.prototype.getViewOfSeriesModel=function(t){return this._chartsMap[t.__viewId];},e.prototype._initEvents=function(){var t,e,n,r=this;O(gg,function(t){var e=function(e){var n,i=r.getModel(),a=e.target,o=\"globalout\"===t;if(o?n={}:a&&sp(a,function(t){var e=Qo(t);if(e&&null!=e.dataIndex){var r=e.dataModel||i.getSeriesByIndex(e.seriesIndex);return n=r&&r.getDataParams(e.dataIndex,e.dataType)||{},!0;}if(e.eventData)return n=C({},e.eventData),!0;},!0),n){var s=n.componentType,l=n.componentIndex;\"markLine\"!==s&&\"markPoint\"!==s&&\"markArea\"!==s||(s=\"series\",l=n.seriesIndex);var c=s&&null!=l&&i.getComponent(s,l),u=c&&r[\"series\"===c.mainType?\"_chartsMap\":\"_componentsMap\"][c.__viewId];n.event=e,n.type=t,r._$eventProcessor.eventInfo={targetEl:a,packedEvent:n,model:c,view:u},r.trigger(t,n);}};e.zrEventfulCallAtLast=!0,r._zr.on(t,e,r);}),O(bg,function(t,e){r._messageCenter.on(e,function(t){this.trigger(e,t);},r);}),O([\"selectchanged\"],function(t){r._messageCenter.on(t,function(e){this.trigger(t,e);},r);}),t=this._messageCenter,e=this,n=this._api,t.on(\"selectchanged\",function(t){var r=n.getModel();t.isFromClick?(op(\"map\",\"selectchanged\",e,r,t),op(\"pie\",\"selectchanged\",e,r,t)):\"select\"===t.fromAction?(op(\"map\",\"selected\",e,r,t),op(\"pie\",\"selected\",e,r,t)):\"unselect\"===t.fromAction&&(op(\"map\",\"unselected\",e,r,t),op(\"pie\",\"unselected\",e,r,t));});},e.prototype.isDisposed=function(){return this._disposed;},e.prototype.clear=function(){this._disposed?yg(this.id):this.setOption({series:[]},!0);},e.prototype.dispose=function(){if(this._disposed)yg(this.id);else{this._disposed=!0,wi(this.getDom(),Eg,\"\");var t=this,e=t._api,n=t._model;O(t._componentsViews,function(t){t.dispose(n,e);}),O(t._chartsViews,function(t){t.dispose(n,e);}),t._zr.dispose(),t._dom=t._model=t._chartsMap=t._componentsMap=t._chartsViews=t._componentsViews=t._scheduler=t._api=t._zr=t._throttledZrFlush=t._theme=t._coordSysMgr=t._messageCenter=null,delete Cg[t.id];}},e.prototype.resize=function(t){if(this._disposed)yg(this.id);else{this._zr.resize(t);var e=this._model;if(this._loadingFX&&this._loadingFX.resize(),e){var n=e.resetOption(\"media\"),r=t&&t.silent;this.__pendingUpdate&&(null==r&&(r=this.__pendingUpdate.silent),n=!0,this.__pendingUpdate=null),this.__flagInMainProcess=!0,n&&Gm(this),Zm.update.call(this,{type:\"resize\",animation:C({duration:0},t&&t.animation)}),this.__flagInMainProcess=!1,tg.call(this,r),eg.call(this,r);}}},e.prototype.showLoading=function(t,e){if(this._disposed)yg(this.id);else if(V(t)&&(e=t,t=\"\"),t=t||\"default\",this.hideLoading(),Sg[t]){var n=Sg[t](this._api,e),r=this._zr;this._loadingFX=n,r.add(n);}},e.prototype.hideLoading=function(){this._disposed?yg(this.id):(this._loadingFX&&this._zr.remove(this._loadingFX),this._loadingFX=null);},e.prototype.makeActionFromEvent=function(t){var e=C({},t);return e.type=bg[t.type],e;},e.prototype.dispatchAction=function(t,e){if(this._disposed)yg(this.id);else if(V(e)||(e={silent:!!e}),vg[t.type]&&this._model)if(this.__flagInMainProcess)this._pendingActions.push(t);else{var n=e.silent;Jm.call(this,t,n);var r=e.flush;r?this._zr.flush():!1!==r&&o.browser.weChat&&this._throttledZrFlush(),tg.call(this,n),eg.call(this,n);}},e.prototype.updateLabelLayout=function(){zm.trigger(\"series:layoutlabels\",this._model,this._api,{updatedSeries:[]});},e.prototype.appendData=function(t){if(this._disposed)yg(this.id);else{var e=t.seriesIndex,n=this.getModel().getSeriesByIndex(e);n.appendData(t),this._scheduler.unfinished=!0,this.getZr().wakeUp();}},e.internalField=function(){function t(t){for(var e=[],n=t.currentStates,r=0;r<n.length;r++){var i=n[r];\"emphasis\"!==i&&\"blur\"!==i&&\"select\"!==i&&e.push(i);}t.selected&&t.states.select&&e.push(\"select\"),2===t.hoverState&&t.states.emphasis?e.push(\"emphasis\"):1===t.hoverState&&t.states.blur&&e.push(\"blur\"),t.useStates(e);}function e(t,e){t.preventAutoZ||r(e.group,t.get(\"z\")||0,t.get(\"zlevel\")||0,-1/0);}function r(t,e,n,i){var a=t.getTextContent(),o=t.getTextGuideLine();if(t.isGroup)for(var s=t.childrenRef(),l=0;l<s.length;l++)i=Math.max(r(s[l],e,n,i),i);else t.z=e,t.zlevel=n,i=Math.max(t.z2,i);if(a&&(a.z=e,a.zlevel=n,isFinite(i)&&(a.z2=i+2)),o){var c=t.textGuideLineConfig;o.z=e,o.zlevel=n,isFinite(i)&&(o.z2=i+(c&&c.showAbove?1:-1));}return i;}function i(t,e){e.group.traverse(function(t){if(!oc(t)){var e=t.getTextContent(),n=t.getTextGuideLine();t.stateTransition&&(t.stateTransition=null),e&&e.stateTransition&&(e.stateTransition=null),n&&n.stateTransition&&(n.stateTransition=null),t.hasState()?(t.prevStates=t.currentStates,t.clearStates()):t.prevStates&&(t.prevStates=null);}});}function a(e,n){var r=e.getModel(\"stateAnimation\"),i=e.isAnimationEnabled(),a=r.get(\"duration\"),o=a>0?{duration:a,delay:r.get(\"delay\"),easing:r.get(\"easing\")}:null;n.group.traverse(function(e){if(e.states&&e.states.emphasis){if(oc(e))return;if(e instanceof No&&function(t){var e=es(t);e.normalFill=t.style.fill,e.normalStroke=t.style.stroke;var n=t.states.select||{};e.selectFill=n.style&&n.style.fill||null,e.selectStroke=n.style&&n.style.stroke||null;}(e),e.__dirty){var n=e.prevStates;n&&e.useStates(n);}if(i){e.stateTransition=o;var r=e.getTextContent(),a=e.getTextGuideLine();r&&(r.stateTransition=o),a&&(a.stateTransition=o);}e.__dirty&&t(e);}});}Gm=function(t){var e=t._scheduler;e.restorePipelines(t._model),e.prepareStageTasks(),Wm(t,!0),Wm(t,!1),e.plan();},Wm=function(t,e){for(var n=t._model,r=t._scheduler,i=e?t._componentsViews:t._chartsViews,a=e?t._componentsMap:t._chartsMap,o=t._zr,s=t._api,l=0;l<i.length;l++)i[l].__alive=!1;function c(t){var l=t.__requireNewView;t.__requireNewView=!1;var c=\"_ec_\"+t.id+\"_\"+t.type,u=!l&&a[c];if(!u){var h=Ci(t.type),f=e?md.getClass(h.main,h.sub):bd.getClass(h.sub);(u=new f()).init(n,s),a[c]=u,i.push(u),o.add(u.group);}t.__viewId=u.__id=c,u.__alive=!0,u.__model=t,u.group.__ecComponentInfo={mainType:t.mainType,index:t.componentIndex},!e&&r.prepareView(u,t,n,s);}for(e?n.eachComponent(function(t,e){\"series\"!==t&&c(e);}):n.eachSeries(c),l=0;l<i.length;){var u=i[l];u.__alive?l++:(!e&&u.renderTask.dispose(),o.remove(u.group),u.dispose(n,s),i.splice(l,1),a[u.__id]===u&&delete a[u.__id],u.__id=u.group.__ecComponentInfo=null);}},Xm=function(t,e,n,r,i){var a=t._model;if(a.setUpdatePayload(n),r){var o={};o[r+\"Id\"]=n[r+\"Id\"],o[r+\"Index\"]=n[r+\"Index\"],o[r+\"Name\"]=n[r+\"Name\"];var s={mainType:r,query:o};i&&(s.subType=i);var l,c=n.excludeSeriesId;null!=c&&(l=ct(),O(ii(c),function(t){var e=fi(t,null);null!=e&&l.set(e,!0);})),Vs(n)&&Os(t._api),a&&a.eachComponent(s,function(e){if(!l||null===l.get(e.id))if(Vs(n)){if(e instanceof sd)n.type!==is||n.notBlur||function(t,e,n){var r=t.seriesIndex,i=t.getData(e.dataType),a=mi(i,e);a=(F(a)?a[0]:a)||0;var o=i.getItemGraphicEl(a);if(!o)for(var s=i.count(),l=0;!o&&l<s;)o=i.getItemGraphicEl(l++);if(o){var c=Qo(o);Is(r,c.focus,c.blurScope,n);}else{var u=t.get([\"emphasis\",\"focus\"]),h=t.get([\"emphasis\",\"blurScope\"]);null!=u&&Is(r,u,h,n);}}(e,n,t._api);else{var r=Bs(e.mainType,e.componentIndex,n.name,t._api),i=r.focusSelf,a=r.dispatchers;n.type===is&&i&&!n.notBlur&&Ls(e.mainType,e.componentIndex,t._api),a&&O(a,function(t){n.type===is?Ms(t):Ts(t);});}}else Hs(n)&&e instanceof sd&&(function(t,e,n){if(Hs(e)){var r=e.dataType,i=mi(t.getData(r),e);F(i)||(i=[i]),t[e.type===ls?\"toggleSelect\":e.type===os?\"select\":\"unselect\"](i,r);}}(e,n,t._api),Rs(e),ug(t));},t),a&&a.eachComponent(s,function(e){l&&null!==l.get(e.id)||u(t[\"series\"===r?\"_chartsMap\":\"_componentsMap\"][e.__viewId]);},t);}else O([].concat(t._componentsViews).concat(t._chartsViews),u);function u(r){r&&r.__alive&&r[e]&&r[e](r.__model,a,t._api,n);}},Zm={prepareAndUpdate:function(t){Gm(this),Zm.update.call(this,t,{optionChanged:null!=t.newOption});},update:function(t,e){var n=this._model,r=this._api,i=this._zr,a=this._coordSysMgr,s=this._scheduler;if(n){n.setUpdatePayload(t),s.restoreData(n,t),s.performSeriesTasks(n),a.create(n,r),s.performDataProcessorTasks(n,t),Qm(this,n),a.update(n,r),ig(n),s.performVisualTasks(n,t),ag(this,n,r,t,e);var l=n.get(\"backgroundColor\")||\"transparent\",c=n.get(\"darkMode\");if(o.canvasSupported)i.setBackgroundColor(l),null!=c&&\"auto\"!==c&&i.setDarkMode(c);else{var u=Be(l);l=Ue(u,\"rgb\"),0===u[3]&&(l=\"transparent\");}zm.trigger(\"afterupdate\",n,r);}},updateTransform:function(t){var e=this,n=this._model,r=this._api;if(n){n.setUpdatePayload(t);var i=[];n.eachComponent(function(a,o){if(\"series\"!==a){var s=e.getViewOfComponentModel(o);if(s&&s.__alive)if(s.updateTransform){var l=s.updateTransform(o,n,r,t);l&&l.update&&i.push(s);}else i.push(s);}});var a=ct();n.eachSeries(function(i){var o=e._chartsMap[i.__viewId];if(o.updateTransform){var s=o.updateTransform(i,n,r,t);s&&s.update&&a.set(i.uid,1);}else a.set(i.uid,1);}),ig(n),this._scheduler.performVisualTasks(n,t,{setDirty:!0,dirtyMap:a}),sg(this,n,r,t,{},a),zm.trigger(\"afterupdate\",n,r);}},updateView:function(t){var e=this._model;e&&(e.setUpdatePayload(t),bd.markUpdateMethod(t,\"updateView\"),ig(e),this._scheduler.performVisualTasks(e,t,{setDirty:!0}),ag(this,e,this._api,t,{}),zm.trigger(\"afterupdate\",e,this._api));},updateVisual:function(t){var e=this,n=this._model;n&&(n.setUpdatePayload(t),n.eachSeries(function(t){t.getData().clearAllVisual();}),bd.markUpdateMethod(t,\"updateVisual\"),ig(n),this._scheduler.performVisualTasks(n,t,{visualType:\"visual\",setDirty:!0}),n.eachComponent(function(r,i){if(\"series\"!==r){var a=e.getViewOfComponentModel(i);a&&a.__alive&&a.updateVisual(i,n,e._api,t);}}),n.eachSeries(function(r){e._chartsMap[r.__viewId].updateVisual(r,n,e._api,t);}),zm.trigger(\"afterupdate\",n,this._api));},updateLayout:function(t){Zm.update.call(this,t);}},Km=function(t,e,n,r){if(t._disposed)yg(t.id);else for(var i,a=t._model,o=t._coordSysMgr.getCoordinateSystems(),s=vi(a,n),l=0;l<o.length;l++){var c=o[l];if(c[e]&&null!=(i=c[e](a,s,r)))return i;}},Qm=function(t,e){var n=t._chartsMap,r=t._scheduler;e.eachSeries(function(t){r.updateStreamModes(t,n[t.__viewId]);});},Jm=function(t,e){var n=this,r=this.getModel(),i=t.type,a=t.escapeConnect,o=vg[i],s=o.actionInfo,l=(s.update||\"update\").split(\":\"),c=l.pop(),u=null!=l[0]&&Ci(l[0]);this.__flagInMainProcess=!0;var h=[t],f=!1;t.batch&&(f=!0,h=I(t.batch,function(e){return(e=M(C({},e),t)).batch=null,e;}));var d,p=[],m=Hs(t),g=Vs(t);if(O(h,function(e){if((d=(d=o.action(e,n._model,n._api))||C({},e)).type=s.event||d.type,p.push(d),g){var 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n=r[e];c[e]=n[0],l=l.concat(n);}),n.dataDimsOnCoord=l,n.dataDimIndicesOnCoord=I(l,function(e){return t.getDimensionInfo(e).storeDimIndex;}),n.encodeFirstDimNotExtra=c;var u=r.label;u&&u.length&&(a=u.slice());var h=r.tooltip;return h&&h.length?o=h.slice():o.length||(o=a.slice()),r.defaultedLabel=a,r.defaultedTooltip=o,n.userOutput=new ty(s,e),n;}(this,this._schema),this.userOutput=this._dimSummary.userOutput;},t.prototype.appendData=function(t){var e=this._store.appendData(t);this._doInit(e[0],e[1]);},t.prototype.appendValues=function(t,e){var n=this._store.appendValues(t,e.length),r=n.start,i=n.end,a=this._shouldMakeIdFromName();if(this._updateOrdinalMeta(),e)for(var o=r;o<i;o++){var s=o-r;this._nameList[o]=e[s],a&&gy(this,o);}},t.prototype._updateOrdinalMeta=function(){for(var t=this._store,e=this.dimensions,n=0;n<e.length;n++){var r=this._dimInfos[e[n]];r.ordinalMeta&&t.collectOrdinalMeta(r.storeDimIndex,r.ordinalMeta);}},t.prototype._shouldMakeIdFromName=function(){var t=this._store.getProvider();return null==this._idDimIdx&&t.getSource().sourceFormat!==rh&&!t.fillStorage;},t.prototype._doInit=function(t,e){if(!(t>=e)){var n=this._store.getProvider();this._updateOrdinalMeta();var r=this._nameList,i=this._idList;if(n.getSource().sourceFormat===Ju&&!n.pure)for(var a=[],o=t;o<e;o++){var s=n.getItem(o,a);if(!this.hasItemOption&&li(s)&&(this.hasItemOption=!0),s){var l=s.name;null==r[o]&&null!=l&&(r[o]=fi(l,null));var c=s.id;null==i[o]&&null!=c&&(i[o]=fi(c,null));}}if(this._shouldMakeIdFromName())for(o=t;o<e;o++)gy(this,o);uy(this);}},t.prototype.getApproximateExtent=function(t){return this._approximateExtent[t]||this._store.getDataExtent(this._getStoreDimIndex(t));},t.prototype.setApproximateExtent=function(t,e){e=this.getDimension(e),this._approximateExtent[e]=t.slice();},t.prototype.getCalculationInfo=function(t){return this._calculationInfo[t];},t.prototype.setCalculationInfo=function(t,e){yy(t)?C(this._calculationInfo,t):this._calculationInfo[t]=e;},t.prototype.getName=function(t){var e=this.getRawIndex(t),n=this._nameList[e];return null==n&&null!=this._nameDimIdx&&(n=fy(this,this._nameDimIdx,e)),null==n&&(n=\"\"),n;},t.prototype._getCategory=function(t,e){var n=this._store.get(t,e),r=this._store.getOrdinalMeta(t);return r?r.categories[n]:n;},t.prototype.getId=function(t){return hy(this,this.getRawIndex(t));},t.prototype.count=function(){return this._store.count();},t.prototype.get=function(t,e){var n=this._store,r=this._dimInfos[t];if(r)return n.get(r.storeDimIndex,e);},t.prototype.getByRawIndex=function(t,e){var n=this._store,r=this._dimInfos[t];if(r)return n.getByRawIndex(r.storeDimIndex,e);},t.prototype.getIndices=function(){return this._store.getIndices();},t.prototype.getDataExtent=function(t){return this._store.getDataExtent(this._getStoreDimIndex(t));},t.prototype.getSum=function(t){return this._store.getSum(this._getStoreDimIndex(t));},t.prototype.getMedian=function(t){return this._store.getMedian(this._getStoreDimIndex(t));},t.prototype.getValues=function(t,e){var n=this,r=this._store;return F(t)?r.getValues(vy(t,function(t){return n._getStoreDimIndex(t);}),e):r.getValues(t);},t.prototype.hasValue=function(t){for(var e=this._dimSummary.dataDimIndicesOnCoord,n=0,r=e.length;n<r;n++)if(isNaN(this._store.get(e[n],t)))return!1;return!0;},t.prototype.indexOfName=function(t){for(var e=0,n=this._store.count();e<n;e++)if(this.getName(e)===t)return e;return-1;},t.prototype.getRawIndex=function(t){return this._store.getRawIndex(t);},t.prototype.indexOfRawIndex=function(t){return this._store.indexOfRawIndex(t);},t.prototype.rawIndexOf=function(t,e){var n=t&&this._invertedIndicesMap[t],r=n[e];return null==r||isNaN(r)?-1:r;},t.prototype.indicesOfNearest=function(t,e,n){return this._store.indicesOfNearest(this._getStoreDimIndex(t),e,n);},t.prototype.each=function(t,e,n){\"function\"==typeof t&&(n=e,e=t,t=[]);var r=n||this,i=vy(dy(t),this._getStoreDimIndex,this);this._store.each(i,r?z(e,r):e);},t.prototype.filterSelf=function(t,e,n){\"function\"==typeof t&&(n=e,e=t,t=[]);var r=n||this,i=vy(dy(t),this._getStoreDimIndex,this);return this._store=this._store.filter(i,r?z(e,r):e),this;},t.prototype.selectRange=function(t){var e=this,n={};return O(R(t),function(r){var i=e._getStoreDimIndex(r);n[i]=t[r];}),this._store=this._store.selectRange(n),this;},t.prototype.mapArray=function(t,e,n){\"function\"==typeof t&&(n=e,e=t,t=[]),n=n||this;var r=[];return this.each(t,function(){r.push(e&&e.apply(this,arguments));},n),r;},t.prototype.map=function(t,e,n,r){var i=n||r||this,a=vy(dy(t),this._getStoreDimIndex,this),o=my(this);return o._store=this._store.map(a,i?z(e,i):e),o;},t.prototype.modify=function(t,e,n,r){var i=n||r||this,a=vy(dy(t),this._getStoreDimIndex,this);this._store.modify(a,i?z(e,i):e);},t.prototype.downSample=function(t,e,n,r){var i=my(this);return i._store=this._store.downSample(this._getStoreDimIndex(t),e,n,r),i;},t.prototype.lttbDownSample=function(t,e){var n=my(this);return n._store=this._store.lttbDownSample(this._getStoreDimIndex(t),e),n;},t.prototype.getRawDataItem=function(t){return this._store.getRawDataItem(t);},t.prototype.getItemModel=function(t){var e=this.hostModel,n=this.getRawDataItem(t);return new Vc(n,e,e&&e.ecModel);},t.prototype.diff=function(t){var e=this;return new Jg(t?t.getStore().getIndices():[],this.getStore().getIndices(),function(e){return hy(t,e);},function(t){return hy(e,t);});},t.prototype.getVisual=function(t){var e=this._visual;return e&&e[t];},t.prototype.setVisual=function(t,e){this._visual=this._visual||{},yy(t)?C(this._visual,t):this._visual[t]=e;},t.prototype.getItemVisual=function(t,e){var n=this._itemVisuals[t],r=n&&n[e];return null==r?this.getVisual(e):r;},t.prototype.hasItemVisual=function(){return this._itemVisuals.length>0;},t.prototype.ensureUniqueItemVisual=function(t,e){var n=this._itemVisuals,r=n[t];r||(r=n[t]={});var i=r[e];return null==i&&(F(i=this.getVisual(e))?i=i.slice():yy(i)&&(i=C({},i)),r[e]=i),i;},t.prototype.setItemVisual=function(t,e,n){var r=this._itemVisuals[t]||{};this._itemVisuals[t]=r,yy(e)?C(r,e):r[e]=n;},t.prototype.clearAllVisual=function(){this._visual={},this._itemVisuals=[];},t.prototype.setLayout=function(t,e){if(yy(t))for(var n in t)t.hasOwnProperty(n)&&this.setLayout(n,t[n]);else this._layout[t]=e;},t.prototype.getLayout=function(t){return this._layout[t];},t.prototype.getItemLayout=function(t){return this._itemLayouts[t];},t.prototype.setItemLayout=function(t,e,n){this._itemLayouts[t]=n?C(this._itemLayouts[t]||{},e):e;},t.prototype.clearItemLayouts=function(){this._itemLayouts.length=0;},t.prototype.setItemGraphicEl=function(t,e){!function(t,e,n,r){if(r){var i=Qo(r);i.dataIndex=n,i.dataType=e,i.seriesIndex=t,\"group\"===r.type&&r.traverse(function(r){var i=Qo(r);i.seriesIndex=t,i.dataIndex=n,i.dataType=e;});}}(this.hostModel&&this.hostModel.seriesIndex,this.dataType,t,e),this._graphicEls[t]=e;},t.prototype.getItemGraphicEl=function(t){return this._graphicEls[t];},t.prototype.eachItemGraphicEl=function(t,e){O(this._graphicEls,function(n,r){n&&t&&t.call(e,n,r);});},t.prototype.cloneShallow=function(e){return e||(e=new t(this._schema?this._schema:vy(this.dimensions,this._getDimInfo,this),this.hostModel)),py(e,this),e._store=this._store,e;},t.prototype.wrapMethod=function(t,e){var n=this[t];\"function\"==typeof n&&(this.__wrappedMethods=this.__wrappedMethods||[],this.__wrappedMethods.push(t),this[t]=function(){var t=n.apply(this,arguments);return e.apply(this,[t].concat(et(arguments)));});},t.internalField=(uy=function(t){var e=t._invertedIndicesMap;O(e,function(n,r){var i=t._dimInfos[r],a=i.ordinalMeta,o=t._store;if(a){n=e[r]=new 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n=(e=e||{}).coordDimensions||[],r=e.dimensionsDefine||t.dimensionsDefine||[],i=ct(),a=[],o=function(t,e,n,r){var i=Math.max(t.dimensionsDetectedCount||1,e.length,n.length,r||0);return O(e,function(t){var e;V(t)&&(e=t.dimsDef)&&(i=Math.max(i,e.length));}),i;}(t,n,r,e.dimensionsCount),s=e.canOmitUnusedDimensions&&cy(o),l=r===t.dimensionsDefine,c=l?ly(t):sy(r),u=e.encodeDefine;!u&&e.encodeDefaulter&&(u=e.encodeDefaulter(t,o));for(var h=ct(u),f=new Gf(o),d=0;d<f.length;d++)f[d]=-1;function p(t){var e=f[t];if(e<0){var n=r[t],i=V(n)?n:{name:n},o=new ny(),s=i.name;null!=s&&null!=c.get(s)&&(o.name=o.displayName=s),null!=i.type&&(o.type=i.type),null!=i.displayName&&(o.displayName=i.displayName);var l=a.length;return f[t]=l,o.storeDimIndex=t,a.push(o),o;}return a[e];}if(!s)for(d=0;d<o;d++)p(d);h.each(function(t,e){var n=ii(t).slice();if(1===n.length&&!j(n[0])&&n[0]<0)h.set(e,!1);else{var r=h.set(e,[]);O(n,function(t,n){var i=j(t)?c.get(t):t;null!=i&&i<o&&(r[n]=i,g(p(i),e,n));});}});var m=0;function g(t,e,n){null!=Qu.get(e)?t.otherDims[e]=n:(t.coordDim=e,t.coordDimIndex=n,i.set(e,!0));}O(n,function(t){var e,n,r,i;if(j(t))e=t,i={};else{e=(i=t).name;var a=i.ordinalMeta;i.ordinalMeta=null,(i=C({},i)).ordinalMeta=a,n=i.dimsDef,r=i.otherDims,i.name=i.coordDim=i.coordDimIndex=i.dimsDef=i.otherDims=null;}var s=h.get(e);if(!1!==s){if(!(s=ii(s)).length)for(var c=0;c<(n&&n.length||1);c++){for(;m<o&&null!=p(m).coordDim;)m++;m<o&&s.push(m++);}O(s,function(t,a){var o=p(t);if(l&&null!=i.type&&(o.type=i.type),g(M(o,i),e,a),null==o.name&&n){var s=n[a];!V(s)&&(s={name:s}),o.name=o.displayName=s.name,o.defaultTooltip=s.defaultTooltip;}r&&M(o.otherDims,r);});}});var y=e.generateCoord,v=e.generateCoordCount,b=null!=v;v=y?v||1:0;var _=y||\"value\";function x(t){null==t.name&&(t.name=t.coordDim);}if(s)O(a,function(t){x(t);}),a.sort(function(t,e){return t.storeDimIndex-e.storeDimIndex;});else for(var w=0;w<o;w++){var k=p(w);null==k.coordDim&&(k.coordDim=Sy(_,i,b),k.coordDimIndex=0,(!y||v<=0)&&(k.isExtraCoord=!0),v--),x(k),null!=k.type||ph(t,w)!==sh&&(!k.isExtraCoord||null==k.otherDims.itemName&&null==k.otherDims.seriesName)||(k.type=\"ordinal\");}return function(t){for(var e=ct(),n=0;n<t.length;n++){var r=t[n],i=r.name,a=e.get(i)||0;a>0&&(r.name=i+(a-1)),a++,e.set(i,a);}}(a),new ay({source:t,dimensions:a,fullDimensionCount:o,dimensionOmitted:s});}function Sy(t,e,n){var r=e.data;if(n||r.hasOwnProperty(t)){for(var i=0;r.hasOwnProperty(t+i);)i++;t+=i;}return e.set(t,!0),t;}var Cy=function(t){this.coordSysDims=[],this.axisMap=ct(),this.categoryAxisMap=ct(),this.coordSysName=t;},My={cartesian2d:function(t,e,n,r){var i=t.getReferringComponents(\"xAxis\",_i).models[0],a=t.getReferringComponents(\"yAxis\",_i).models[0];e.coordSysDims=[\"x\",\"y\"],n.set(\"x\",i),n.set(\"y\",a),Ty(i)&&(r.set(\"x\",i),e.firstCategoryDimIndex=0),Ty(a)&&(r.set(\"y\",a),null==e.firstCategoryDimIndex&&(e.firstCategoryDimIndex=1));},singleAxis:function(t,e,n,r){var i=t.getReferringComponents(\"singleAxis\",_i).models[0];e.coordSysDims=[\"single\"],n.set(\"single\",i),Ty(i)&&(r.set(\"single\",i),e.firstCategoryDimIndex=0);},polar:function(t,e,n,r){var i=t.getReferringComponents(\"polar\",_i).models[0],a=i.findAxisModel(\"radiusAxis\"),o=i.findAxisModel(\"angleAxis\");e.coordSysDims=[\"radius\",\"angle\"],n.set(\"radius\",a),n.set(\"angle\",o),Ty(a)&&(r.set(\"radius\",a),e.firstCategoryDimIndex=0),Ty(o)&&(r.set(\"angle\",o),null==e.firstCategoryDimIndex&&(e.firstCategoryDimIndex=1));},geo:function(t,e,n,r){e.coordSysDims=[\"lng\",\"lat\"];},parallel:function(t,e,n,r){var i=t.ecModel,a=i.getComponent(\"parallel\",t.get(\"parallelIndex\")),o=e.coordSysDims=a.dimensions.slice();O(a.parallelAxisIndex,function(t,a){var s=i.getComponent(\"parallelAxis\",t),l=o[a];n.set(l,s),Ty(s)&&(r.set(l,s),null==e.firstCategoryDimIndex&&(e.firstCategoryDimIndex=a));});}};function Ty(t){return\"category\"===t.get(\"type\");}function Ay(t,e,n){var r,i,a,o=(n=n||{}).byIndex,s=n.stackedCoordDimension;!function(t){return!oy(t.schema);}(e)?(i=e.schema,r=i.dimensions,a=e.store):r=e;var l,c,u,h,f=!(!t||!t.get(\"stack\"));if(O(r,function(t,e){j(t)&&(r[e]=t={name:t}),f&&!t.isExtraCoord&&(o||l||!t.ordinalMeta||(l=t),c||\"ordinal\"===t.type||\"time\"===t.type||s&&s!==t.coordDim||(c=t));}),!c||o||l||(o=!0),c){u=\"__\\0ecstackresult_\"+t.id,h=\"__\\0ecstackedover_\"+t.id,l&&(l.createInvertedIndices=!0);var d=c.coordDim,p=c.type,m=0;O(r,function(t){t.coordDim===d&&m++;});var g={name:u,coordDim:d,coordDimIndex:m,type:p,isExtraCoord:!0,isCalculationCoord:!0,storeDimIndex:r.length},y={name:h,coordDim:h,coordDimIndex:m+1,type:p,isExtraCoord:!0,isCalculationCoord:!0,storeDimIndex:r.length+1};i?(a&&(g.storeDimIndex=a.ensureCalculationDimension(h,p),y.storeDimIndex=a.ensureCalculationDimension(u,p)),i.appendCalculationDimension(g),i.appendCalculationDimension(y)):(r.push(g),r.push(y));}return{stackedDimension:c&&c.name,stackedByDimension:l&&l.name,isStackedByIndex:o,stackedOverDimension:h,stackResultDimension:u};}function Ey(t,e){return!!e&&e===t.getCalculationInfo(\"stackedDimension\");}function Ny(t,e){return Ey(t,e)?t.getCalculationInfo(\"stackResultDimension\"):e;}function Dy(t,e,n){n=n||{};var r,i=e.getSourceManager(),a=!1;t?(a=!0,r=ff(t)):a=(r=i.getSource()).sourceFormat===Ju;var o=function(t){var e=t.get(\"coordinateSystem\"),n=new Cy(e),r=My[e];if(r)return r(t,n,n.axisMap,n.categoryAxisMap),n;}(e),s=function(t,e){var 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f=t.width*t.height,d=u.width*u.height,p=l.width*l.height-f-d;p<r&&(r=p,i=c);}}s&&(a[i].union(t),n=!0),n||((e=new ar(0,0,0,0)).copy(t),a.push(e)),s||(s=a.length>=o);}}for(var u=this.__startIndex;u<this.__endIndex;++u)if(d=t[u]){var h=d.shouldBePainted(n,r,!0,!0);(p=d.__isRendered&&(1&d.__dirty||!h)?d.getPrevPaintRect():null)&&c(p);var f=h&&(1&d.__dirty||!d.__isRendered)?d.getPaintRect():null;f&&c(f);}for(u=this.__prevStartIndex;u<this.__prevEndIndex;++u){var d,p;h=(d=e[u]).shouldBePainted(n,r,!0,!0),!d||h&&d.__zr||!d.__isRendered||(p=d.getPrevPaintRect())&&c(p);}do{for(i=!1,u=0;u<a.length;)if(a[u].isZero())a.splice(u,1);else{for(var m=u+1;m<a.length;)a[u].intersect(a[m])?(i=!0,a[u].union(a[m]),a.splice(m,1)):m++;u++;}}while(i);return this._paintRects=a,a;},e.prototype.debugGetPaintRects=function(){return(this._paintRects||[]).slice();},e.prototype.resize=function(t,e){var n=this.dpr,r=this.dom,i=r.style,a=this.domBack;i&&(i.width=t+\"px\",i.height=e+\"px\"),r.width=t*n,r.height=e*n,a&&(a.width=t*n,a.height=e*n,1!==n&&this.ctxBack.scale(n,n));},e.prototype.clear=function(t,e,n){var r=this.dom,i=this.ctx,a=r.width,o=r.height;e=e||this.clearColor;var s=this.motionBlur&&!t,l=this.lastFrameAlpha,c=this.dpr,u=this;s&&(this.domBack||this.createBackBuffer(),this.ctxBack.globalCompositeOperation=\"copy\",this.ctxBack.drawImage(r,0,0,a/c,o/c));var h=this.domBack;function f(t,n,r,a){if(i.clearRect(t,n,r,a),e&&\"transparent\"!==e){var o=void 0;W(e)?(o=e.__canvasGradient||xp(i,e,{x:0,y:0,width:r,height:a}),e.__canvasGradient=o):X(e)&&(o=Ep(i,e,{dirty:function(){u.setUnpainted(),u.__painter.refresh();}})),i.save(),i.fillStyle=o||e,i.fillRect(t,n,r,a),i.restore();}s&&(i.save(),i.globalAlpha=l,i.drawImage(h,t,n,r,a),i.restore());}!n||s?f(0,0,a,o):n.length&&O(n,function(t){f(t.x*c,t.y*c,t.width*c,t.height*c);});},e;}(Rt),pb=1e5,mb=314159,gb=.01;function yb(t){return 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this._opts.useDirtyRect&&(this._prevDisplayList=e.slice()),this;},t.prototype.refreshHover=function(){this._paintHoverList(this.storage.getDisplayList(!1));},t.prototype._paintHoverList=function(t){var e=t.length,n=this._hoverlayer;if(n&&n.clear(),e){for(var r,i={inHover:!0,viewWidth:this._width,viewHeight:this._height},a=0;a<e;a++){var o=t[a];o.__inHover&&(n||(n=this._hoverlayer=this.getLayer(pb)),r||(r=n.ctx).save(),Pp(r,o,i,a===e-1));}r&&r.restore();}},t.prototype.getHoverLayer=function(){return this.getLayer(pb);},t.prototype.paintOne=function(t,e){zp(t,e);},t.prototype._paintList=function(t,e,n,r){if(this._redrawId===r){n=n||!1,this._updateLayerStatus(t);var i=this._doPaintList(t,e,n),a=i.finished,o=i.needsRefreshHover;if(this._needsManuallyCompositing&&this._compositeManually(),o&&this._paintHoverList(t),a)this.eachLayer(function(t){t.afterBrush&&t.afterBrush();});else{var s=this;ye(function(){s._paintList(t,e,n,r);});}}},t.prototype._compositeManually=function(){var t=this.getLayer(mb).ctx,e=this._domRoot.width,n=this._domRoot.height;t.clearRect(0,0,e,n),this.eachBuiltinLayer(function(r){r.virtual&&t.drawImage(r.dom,0,0,e,n);});},t.prototype._doPaintList=function(t,e,n){for(var r=this,i=[],a=this._opts.useDirtyRect,s=0;s<this._zlevelList.length;s++){var l=this._zlevelList[s],c=this._layers[l];c.__builtin__&&c!==this._hoverlayer&&(c.__dirty||n)&&i.push(c);}for(var u=!0,h=!1,f=function(o){var s,l=i[o],c=l.ctx,f=a&&l.createRepaintRects(t,e,d._width,d._height),p=n?l.__startIndex:l.__drawIndex,m=!n&&l.incremental&&Date.now,g=m&&Date.now(),y=l.zlevel===d._zlevelList[0]?d._backgroundColor:null;if(l.__startIndex===l.__endIndex)l.clear(!1,y,f);else if(p===l.__startIndex){var v=t[p];v.incremental&&v.notClear&&!n||l.clear(!1,y,f);}-1===p&&(console.error(\"For some unknown reason. drawIndex is -1\"),p=l.__startIndex);var b=function(e){var n={inHover:!1,allClipped:!1,prevEl:null,viewWidth:r._width,viewHeight:r._height};for(s=p;s<l.__endIndex;s++){var i=t[s];if(i.__inHover&&(h=!0),r._doPaintEl(i,l,a,e,n,s===l.__endIndex-1),m&&Date.now()-g>15)break;}n.prevElClipPaths&&c.restore();};if(f){if(0===f.length)s=l.__endIndex;else for(var _=d.dpr,x=0;x<f.length;++x){var w=f[x];c.save(),c.beginPath(),c.rect(w.x*_,w.y*_,w.width*_,w.height*_),c.clip(),b(w),c.restore();}}else c.save(),b(),c.restore();l.__drawIndex=s,l.__drawIndex<l.__endIndex&&(u=!1);},d=this,p=0;p<i.length;p++)f(p);return o.wxa&&O(this._layers,function(t){t&&t.ctx&&t.ctx.draw&&t.ctx.draw();}),{finished:u,needsRefreshHover:h};},t.prototype._doPaintEl=function(t,e,n,r,i,a){var o=e.ctx;if(n){var s=t.getPaintRect();(!r||s&&s.intersect(r))&&(Pp(o,t,i,a),t.setPrevPaintRect(s));}else Pp(o,t,i,a);},t.prototype.getLayer=function(t,e){this._singleCanvas&&!this._needsManuallyCompositing&&(t=mb);var n=this._layers[t];return n||((n=new db(\"zr_\"+t,this,this.dpr)).zlevel=t,n.__builtin__=!0,this._layerConfig[t]?S(n,this._layerConfig[t],!0):this._layerConfig[t-gb]&&S(n,this._layerConfig[t-gb],!0),e&&(n.virtual=e),this.insertLayer(t,n),n.initContext()),n;},t.prototype.insertLayer=function(t,e){var n=this._layers,r=this._zlevelList,i=r.length,a=this._domRoot,o=null,s=-1;if(n[t])w(\"ZLevel \"+t+\" has been used already\");else if(function(t){return!!t&&(!!t.__builtin__||\"function\"==typeof t.resize&&\"function\"==typeof t.refresh);}(e)){if(i>0&&t>r[0]){for(s=0;s<i-1&&!(r[s]<t&&r[s+1]>t);s++);o=n[r[s]];}if(r.splice(s+1,0,t),n[t]=e,!e.virtual)if(o){var l=o.dom;l.nextSibling?a.insertBefore(e.dom,l.nextSibling):a.appendChild(e.dom);}else a.firstChild?a.insertBefore(e.dom,a.firstChild):a.appendChild(e.dom);e.__painter=this;}else w(\"Layer of zlevel \"+t+\" is not valid\");},t.prototype.eachLayer=function(t,e){for(var n=this._zlevelList,r=0;r<n.length;r++){var i=n[r];t.call(e,this._layers[i],i);}},t.prototype.eachBuiltinLayer=function(t,e){for(var n=this._zlevelList,r=0;r<n.length;r++){var i=n[r],a=this._layers[i];a.__builtin__&&t.call(e,a,i);}},t.prototype.eachOtherLayer=function(t,e){for(var n=this._zlevelList,r=0;r<n.length;r++){var i=n[r],a=this._layers[i];a.__builtin__||t.call(e,a,i);}},t.prototype.getLayers=function(){return this._layers;},t.prototype._updateLayerStatus=function(t){function e(t){a&&(a.__endIndex!==t&&(a.__dirty=!0),a.__endIndex=t);}if(this.eachBuiltinLayer(function(t,e){t.__dirty=t.__used=!1;}),this._singleCanvas)for(var n=1;n<t.length;n++)if((s=t[n]).zlevel!==t[n-1].zlevel||s.incremental){this._needsManuallyCompositing=!0;break;}var r,i,a=null,o=0;for(i=0;i<t.length;i++){var s,l=(s=t[i]).zlevel,c=void 0;r!==l&&(r=l,o=0),s.incremental?((c=this.getLayer(l+.001,this._needsManuallyCompositing)).incremental=!0,o=1):c=this.getLayer(l+(o>0?gb:0),this._needsManuallyCompositing),c.__builtin__||w(\"ZLevel \"+l+\" has been used by unkown layer \"+c.id),c!==a&&(c.__used=!0,c.__startIndex!==i&&(c.__dirty=!0),c.__startIndex=i,c.incremental?c.__drawIndex=-1:c.__drawIndex=i,e(i),a=c),1&s.__dirty&&!s.__inHover&&(c.__dirty=!0,c.incremental&&c.__drawIndex<0&&(c.__drawIndex=i));}e(i),this.eachBuiltinLayer(function(t,e){!t.__used&&t.getElementCount()>0&&(t.__dirty=!0,t.__startIndex=t.__endIndex=t.__drawIndex=0),t.__dirty&&t.__drawIndex<0&&(t.__drawIndex=t.__startIndex);});},t.prototype.clear=function(){return this.eachBuiltinLayer(this._clearLayer),this;},t.prototype._clearLayer=function(t){t.clear();},t.prototype.setBackgroundColor=function(t){this._backgroundColor=t,O(this._layers,function(t){t.setUnpainted();});},t.prototype.configLayer=function(t,e){if(e){var n=this._layerConfig;n[t]?S(n[t],e,!0):n[t]=e;for(var r=0;r<this._zlevelList.length;r++){var i=this._zlevelList[r];i!==t&&i!==t+gb||S(this._layers[i],n[t],!0);}}},t.prototype.delLayer=function(t){var e=this._layers,n=this._zlevelList,r=e[t];r&&(r.dom.parentNode.removeChild(r.dom),delete e[t],n.splice(A(n,t),1));},t.prototype.resize=function(t,e){if(this._domRoot.style){var n=this._domRoot;n.style.display=\"none\";var r=this._opts;if(null!=t&&(r.width=t),null!=e&&(r.height=e),t=this._getSize(0),e=this._getSize(1),n.style.display=\"\",this._width!==t||e!==this._height){for(var i in n.style.width=t+\"px\",n.style.height=e+\"px\",this._layers)this._layers.hasOwnProperty(i)&&this._layers[i].resize(t,e);this.refresh(!0);}this._width=t,this._height=e;}else{if(null==t||null==e)return;this._width=t,this._height=e,this.getLayer(mb).resize(t,e);}return this;},t.prototype.clearLayer=function(t){var e=this._layers[t];e&&e.clear();},t.prototype.dispose=function(){this.root.innerHTML=\"\",this.root=this.storage=this._domRoot=this._layers=null;},t.prototype.getRenderedCanvas=function(t){if(t=t||{},this._singleCanvas&&!this._compositeManually)return this._layers[314159].dom;var e=new db(\"image\",this,t.pixelRatio||this.dpr);e.initContext(),e.clear(!1,t.backgroundColor||this._backgroundColor);var n=e.ctx;if(t.pixelRatio<=this.dpr){this.refresh();var r=e.dom.width,i=e.dom.height;this.eachLayer(function(t){t.__builtin__?n.drawImage(t.dom,0,0,r,i):t.renderToCanvas&&(n.save(),t.renderToCanvas(n),n.restore());});}else for(var a={inHover:!1,viewWidth:this._width,viewHeight:this._height},o=this.storage.getDisplayList(!0),s=0,l=o.length;s<l;s++){var c=o[s];Pp(n,c,a,s===l-1);}return e.dom;},t.prototype.getWidth=function(){return this._width;},t.prototype.getHeight=function(){return this._height;},t.prototype._getSize=function(t){var e=this._opts,n=[\"width\",\"height\"][t],r=[\"clientWidth\",\"clientHeight\"][t],i=[\"paddingLeft\",\"paddingTop\"][t],a=[\"paddingRight\",\"paddingBottom\"][t];if(null!=e[n]&&\"auto\"!==e[n])return parseFloat(e[n]);var o=this.root,s=document.defaultView.getComputedStyle(o);return(o[r]||yb(s[n])||yb(o.style[n]))-(yb(s[i])||0)-(yb(s[a])||0)|0;},t.prototype.pathToImage=function(t,e){e=e||this.dpr;var n=document.createElement(\"canvas\"),r=n.getContext(\"2d\"),i=t.getBoundingRect(),a=t.style,o=a.shadowBlur*e,s=a.shadowOffsetX*e,l=a.shadowOffsetY*e,c=t.hasStroke()?a.lineWidth:0,u=Math.max(c/2,-s+o),h=Math.max(c/2,s+o),f=Math.max(c/2,-l+o),d=Math.max(c/2,l+o),p=i.width+u+h,m=i.height+f+d;n.width=p*e,n.height=m*e,r.scale(e,e),r.clearRect(0,0,p,m),r.dpr=e;var g={x:t.x,y:t.y,scaleX:t.scaleX,scaleY:t.scaleY,rotation:t.rotation,originX:t.originX,originY:t.originY};t.x=u-i.x,t.y=f-i.y,t.rotation=0,t.scaleX=1,t.scaleY=1,t.updateTransform(),t&&Pp(r,t,{inHover:!1,viewWidth:this._width,viewHeight:this._height},!0);var y=new Bo({style:{x:0,y:0,image:n}});return C(t,g),y;},t;}(),bb=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.hasSymbolVisual=!0,n;}return n(e,t),e.prototype.getInitialData=function(t){return Dy(null,this,{useEncodeDefaulter:!0});},e.prototype.getLegendIcon=function(t){var e=new Tr(),n=bp(\"line\",0,t.itemHeight/2,t.itemWidth,0,t.lineStyle.stroke,!1);e.add(n),n.setStyle(t.lineStyle);var r=this.getData().getVisual(\"symbol\"),i=this.getData().getVisual(\"symbolRotate\"),a=\"none\"===r?\"circle\":r,o=.8*t.itemHeight,s=bp(a,(t.itemWidth-o)/2,(t.itemHeight-o)/2,o,o,t.itemStyle.fill);e.add(s),s.setStyle(t.itemStyle);var l=\"inherit\"===t.iconRotate?i:t.iconRotate||0;return s.rotation=l*Math.PI/180,s.setOrigin([t.itemWidth/2,t.itemHeight/2]),a.indexOf(\"empty\")>-1&&(s.style.stroke=s.style.fill,s.style.fill=\"#fff\",s.style.lineWidth=2),e;},e.type=\"series.line\",e.dependencies=[\"grid\",\"polar\"],e.defaultOption={zlevel:0,z:3,coordinateSystem:\"cartesian2d\",legendHoverLink:!0,clip:!0,label:{position:\"top\"},endLabel:{show:!1,valueAnimation:!0,distance:8},lineStyle:{width:2,type:\"solid\"},emphasis:{scale:!0,lineStyle:{width:\"bolder\"}},step:!1,smooth:!1,smoothMonotone:null,symbol:\"emptyCircle\",symbolSize:4,symbolRotate:null,showSymbol:!0,showAllSymbol:\"auto\",connectNulls:!1,sampling:\"none\",animationEasing:\"linear\",progressive:0,hoverLayerThreshold:1/0,universalTransition:{divideShape:\"clone\"},triggerLineEvent:!1},e;}(sd);function _b(t,e){var n=t.mapDimensionsAll(\"defaultedLabel\"),r=n.length;if(1===r){var i=Af(t,e,n[0]);return null!=i?i+\"\":null;}if(r){for(var a=[],o=0;o<n.length;o++)a.push(Af(t,e,n[o]));return a.join(\" \");}}function xb(t,e){var n=t.mapDimensionsAll(\"defaultedLabel\");if(!F(e))return e+\"\";for(var r=[],i=0;i<n.length;i++){var a=t.getDimensionIndex(n[i]);a>=0&&r.push(e[a]);}return r.join(\" \");}var wb=function(t){function e(e,n,r,i){var a=t.call(this)||this;return a.updateData(e,n,r,i),a;}return n(e,t),e.prototype._createSymbol=function(t,e,n,r,i){this.removeAll();var a=bp(t,-1,-1,2,2,null,i);a.attr({z2:100,culling:!0,scaleX:r[0]/2,scaleY:r[1]/2}),a.drift=kb,this._symbolType=t,this.add(a);},e.prototype.stopSymbolAnimation=function(t){this.childAt(0).stopAnimation(null,t);},e.prototype.getSymbolType=function(){return this._symbolType;},e.prototype.getSymbolPath=function(){return this.childAt(0);},e.prototype.highlight=function(){Ms(this.childAt(0));},e.prototype.downplay=function(){Ts(this.childAt(0));},e.prototype.setZ=function(t,e){var n=this.childAt(0);n.zlevel=t,n.z=e;},e.prototype.setDraggable=function(t){var e=this.childAt(0);e.draggable=t,e.cursor=t?\"move\":e.cursor;},e.prototype.updateData=function(t,n,r,i){this.silent=!1;var a=t.getItemVisual(n,\"symbol\")||\"circle\",o=t.hostModel,s=e.getSymbolSize(t,n),l=a!==this._symbolType,c=i&&i.disableAnimation;if(l){var u=t.getItemVisual(n,\"symbolKeepAspect\");this._createSymbol(a,t,n,s,u);}else{(f=this.childAt(0)).silent=!1;var h={scaleX:s[0]/2,scaleY:s[1]/2};c?f.attr(h):ic(f,h,o,n),uc(f);}if(this._updateCommon(t,n,s,r,i),l){var f=this.childAt(0);c||(h={scaleX:this._sizeX,scaleY:this._sizeY,style:{opacity:f.style.opacity}},f.scaleX=f.scaleY=0,f.style.opacity=0,ac(f,h,o,n));}c&&this.childAt(0).stopAnimation(\"remove\"),this._seriesModel=o;},e.prototype._updateCommon=function(t,e,n,r,i){var a,o,s,l,c,u,h,f,d=this.childAt(0),p=t.hostModel;if(r&&(a=r.emphasisItemStyle,o=r.blurItemStyle,s=r.selectItemStyle,l=r.focus,c=r.blurScope,u=r.labelStatesModels,h=r.hoverScale,f=r.cursorStyle),!r||t.hasItemOption){var m=r&&r.itemModel?r.itemModel:t.getItemModel(e),g=m.getModel(\"emphasis\");a=g.getModel(\"itemStyle\").getItemStyle(),s=m.getModel([\"select\",\"itemStyle\"]).getItemStyle(),o=m.getModel([\"blur\",\"itemStyle\"]).getItemStyle(),l=g.get(\"focus\"),c=g.get(\"blurScope\"),u=Cc(m),h=g.getShallow(\"scale\"),f=m.getShallow(\"cursor\");}var y=t.getItemVisual(e,\"symbolRotate\");d.attr(\"rotation\",(y||0)*Math.PI/180||0);var v=_p(t.getItemVisual(e,\"symbolOffset\"),n);v&&(d.x=v[0],d.y=v[1]),f&&d.attr(\"cursor\",f);var b=t.getItemVisual(e,\"style\"),_=b.fill;if(d instanceof Bo){var x=d.style;d.useStyle(C({image:x.image,x:x.x,y:x.y,width:x.width,height:x.height},b));}else d.__isEmptyBrush?d.useStyle(C({},b)):d.useStyle(b),d.style.decal=null,d.setColor(_,i&&i.symbolInnerColor),d.style.strokeNoScale=!0;var w=t.getItemVisual(e,\"liftZ\"),k=this._z2;null!=w?null==k&&(this._z2=d.z2,d.z2+=w):null!=k&&(d.z2=k,this._z2=null);var S=i&&i.useNameLabel;Sc(d,u,{labelFetcher:p,labelDataIndex:e,defaultText:function(e){return S?t.getName(e):_b(t,e);},inheritColor:_,defaultOpacity:b.opacity}),this._sizeX=n[0]/2,this._sizeY=n[1]/2;var M=d.ensureState(\"emphasis\");if(M.style=a,d.ensureState(\"select\").style=s,d.ensureState(\"blur\").style=o,h){var T=Math.max(1.1,3/this._sizeY);M.scaleX=this._sizeX*T,M.scaleY=this._sizeY*T;}this.setSymbolScale(1),Ps(this,l,c);},e.prototype.setSymbolScale=function(t){this.scaleX=this.scaleY=t;},e.prototype.fadeOut=function(t,e){var n=this.childAt(0),r=this._seriesModel,i=Qo(this).dataIndex,a=e&&e.animation;if(this.silent=n.silent=!0,e&&e.fadeLabel){var o=n.getTextContent();o&&sc(o,{style:{opacity:0}},r,{dataIndex:i,removeOpt:a,cb:function(){n.removeTextContent();}});}else n.removeTextContent();sc(n,{style:{opacity:0},scaleX:0,scaleY:0},r,{dataIndex:i,cb:t,removeOpt:a});},e.getSymbolSize=function(t,e){return F(n=t.getItemVisual(e,\"symbolSize\"))||(n=[+n,+n]),[n[0]||0,n[1]||0];var n;},e;}(Tr);function kb(t,e){this.parent.drift(t,e);}function Sb(t,e,n,r){return e&&!isNaN(e[0])&&!isNaN(e[1])&&!(r.isIgnore&&r.isIgnore(n))&&!(r.clipShape&&!r.clipShape.contain(e[0],e[1]))&&\"none\"!==t.getItemVisual(n,\"symbol\");}function Cb(t){return null==t||V(t)||(t={isIgnore:t}),t||{};}function Mb(t){var e=t.hostModel,n=e.getModel(\"emphasis\");return{emphasisItemStyle:n.getModel(\"itemStyle\").getItemStyle(),blurItemStyle:e.getModel([\"blur\",\"itemStyle\"]).getItemStyle(),selectItemStyle:e.getModel([\"select\",\"itemStyle\"]).getItemStyle(),focus:n.get(\"focus\"),blurScope:n.get(\"blurScope\"),hoverScale:n.get(\"scale\"),labelStatesModels:Cc(e),cursorStyle:e.get(\"cursor\")};}var Tb=function(){function t(t){this.group=new Tr(),this._SymbolCtor=t||wb;}return t.prototype.updateData=function(t,e){e=Cb(e);var n=this.group,r=t.hostModel,i=this._data,a=this._SymbolCtor,o=e.disableAnimation,s=Mb(t),l={disableAnimation:o},c=e.getSymbolPoint||function(e){return t.getItemLayout(e);};i||n.removeAll(),t.diff(i).add(function(r){var i=c(r);if(Sb(t,i,r,e)){var o=new a(t,r,s,l);o.setPosition(i),t.setItemGraphicEl(r,o),n.add(o);}}).update(function(u,h){var f=i.getItemGraphicEl(h),d=c(u);if(Sb(t,d,u,e)){var p=t.getItemVisual(u,\"symbol\")||\"circle\",m=f&&f.getSymbolType&&f.getSymbolType();if(!f||m&&m!==p)n.remove(f),(f=new a(t,u,s,l)).setPosition(d);else{f.updateData(t,u,s,l);var g={x:d[0],y:d[1]};o?f.attr(g):ic(f,g,r);}n.add(f),t.setItemGraphicEl(u,f);}else n.remove(f);}).remove(function(t){var e=i.getItemGraphicEl(t);e&&e.fadeOut(function(){n.remove(e);});}).execute(),this._getSymbolPoint=c,this._data=t;},t.prototype.isPersistent=function(){return!0;},t.prototype.updateLayout=function(){var t=this,e=this._data;e&&e.eachItemGraphicEl(function(e,n){var r=t._getSymbolPoint(n);e.setPosition(r),e.markRedraw();});},t.prototype.incrementalPrepareUpdate=function(t){this._seriesScope=Mb(t),this._data=null,this.group.removeAll();},t.prototype.incrementalUpdate=function(t,e,n){function r(t){t.isGroup||(t.incremental=!0,t.ensureState(\"emphasis\").hoverLayer=!0);}n=Cb(n);for(var i=t.start;i<t.end;i++){var a=e.getItemLayout(i);if(Sb(e,a,i,n)){var o=new this._SymbolCtor(e,i,this._seriesScope);o.traverse(r),o.setPosition(a),this.group.add(o),e.setItemGraphicEl(i,o);}}},t.prototype.remove=function(t){var e=this.group,n=this._data;n&&t?n.eachItemGraphicEl(function(t){t.fadeOut(function(){e.remove(t);});}):e.removeAll();},t;}();function Ab(t,e,n){var r=t.getBaseAxis(),i=t.getOtherAxis(r),a=function(t,e){var n=0,r=t.scale.getExtent();return\"start\"===e?n=r[0]:\"end\"===e?n=r[1]:r[0]>0?n=r[0]:r[1]<0&&(n=r[1]),n;}(i,n),o=r.dim,s=i.dim,l=e.mapDimension(s),c=e.mapDimension(o),u=\"x\"===s||\"radius\"===s?1:0,h=I(t.dimensions,function(t){return 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f=t.getBaseAxis(),d=f.isHorizontal(),p=f.inverse;d?(p&&(h.shape.x+=l),h.shape.width=0):(p||(h.shape.y+=c),h.shape.height=0),ac(h,{shape:{width:l,height:c,x:o,y:s}},n,null,r,\"function\"==typeof i?function(t){i(t,h);}:null);}return h;}function Ub(t,e,n){var r=t.getArea(),i=Pr(r.r0,1),a=Pr(r.r,1),o=new Tl({shape:{cx:Pr(t.cx,1),cy:Pr(t.cy,1),r0:i,r:a,startAngle:r.startAngle,endAngle:r.endAngle,clockwise:r.clockwise}});return e&&(\"angle\"===t.getBaseAxis().dim?o.shape.endAngle=r.startAngle:o.shape.r=i,ac(o,{shape:{endAngle:r.endAngle,r:a}},n)),o;}function Hb(t,e){return t.type===e;}function Vb(t,e){if(t.length===e.length){for(var n=0;n<t.length;n++)if(t[n]!==e[n])return;return!0;}}function Yb(t){for(var e=1/0,n=1/0,r=-1/0,i=-1/0,a=0;a<t.length;){var o=t[a++],s=t[a++];isNaN(o)||(e=Math.min(o,e),r=Math.max(o,r)),isNaN(s)||(n=Math.min(s,n),i=Math.max(s,i));}return[[e,n],[r,i]];}function $b(t,e){var n=Yb(t),r=n[0],i=n[1],a=Yb(e),o=a[0],s=a[1];return 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l=e.getAxis(i),c=I(a.stops,function(t){return{coord:l.toGlobalCoord(l.dataToCoord(t.value)),color:t.color};}),u=c.length,h=a.outerColors.slice();u&&c[0].coord>c[u-1].coord&&(c.reverse(),h.reverse());var f=function(t,e){var n,r,i=[],a=t.length;function o(t,e,n){var r=t.coord;return{coord:n,color:qe((n-r)/(e.coord-r),[t.color,e.color])};}for(var s=0;s<a;s++){var l=t[s],c=l.coord;if(c<0)n=l;else{if(c>e){r?i.push(o(r,l,e)):n&&i.push(o(n,l,0),o(n,l,e));break;}n&&(i.push(o(n,l,0)),n=null),i.push(l),r=l;}}return i;}(c,\"x\"===i?n.getWidth():n.getHeight()),d=f.length;if(!d&&u)return c[0].coord<0?h[1]?h[1]:c[u-1].color:h[0]?h[0]:c[0].color;var p=f[0].coord-10,m=f[d-1].coord+10,g=m-p;if(g<.001)return\"transparent\";O(f,function(t){t.offset=(t.coord-p)/g;}),f.push({offset:d?f[d-1].offset:.5,color:h[1]||\"transparent\"}),f.unshift({offset:d?f[0].offset:.5,color:h[0]||\"transparent\"});var y=new Gl(0,0,0,0,f,!0);return y[i]=p,y[i+\"2\"]=m,y;}}}function Zb(t,e,n){var r=t.get(\"showAllSymbol\"),i=\"auto\"===r;if(!r||i){var a=n.getAxesByScale(\"ordinal\")[0];if(a&&(!i||!function(t,e){var n=t.getExtent(),r=Math.abs(n[1]-n[0])/t.scale.count();isNaN(r)&&(r=0);for(var i=e.count(),a=Math.max(1,Math.round(i/5)),o=0;o<i;o+=a)if(1.5*wb.getSymbolSize(e,o)[t.isHorizontal()?1:0]>r)return!1;return!0;}(a,e))){var o=e.mapDimension(a.dim),s={};return O(a.getViewLabels(),function(t){var e=a.scale.getRawOrdinalNumber(t.tickValue);s[e]=1;}),function(t){return!s.hasOwnProperty(e.get(o,t));};}}}function Kb(t,e){return[t[2*e],t[2*e+1]];}function Qb(t){if(t.get([\"endLabel\",\"show\"]))return!0;for(var e=0;e<ns.length;e++)if(t.get([ns[e],\"endLabel\",\"show\"]))return!0;return!1;}function Jb(t,e,n,r){if(Hb(e,\"cartesian2d\")){var i=r.getModel(\"endLabel\"),a=i.get(\"valueAnimation\"),o=r.getData(),s={lastFrameIndex:0},l=Qb(r)?function(n,r){t._endLabelOnDuring(n,r,o,s,a,i,e);}:null,c=e.getBaseAxis().isHorizontal(),u=jb(e,n,r,function(){var 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i;}(i,o,b),x=t.get(\"showSymbol\"),w=x&&!u&&Zb(t,o,i),k=this._data;k&&k.eachItemGraphicEl(function(t,e){t.__temp&&(a.remove(t),k.setItemGraphicEl(e,null));}),x||f.remove(),a.add(m);var S,C=!u&&t.get(\"step\");i&&i.getArea&&t.get(\"clip\",!0)&&(null!=(S=i.getArea()).width?(S.x-=.1,S.y-=.1,S.width+=.2,S.height+=.2):S.r0&&(S.r0-=.5,S.r+=.5)),this._clipShapeForSymbol=S;var T=Xb(o,i,n)||o.getVisual(\"style\")[o.getVisual(\"drawType\")];if(d&&h.type===i.type&&C===this._step){y&&!p?p=this._newPolygon(c,_):p&&!y&&(m.remove(p),p=this._polygon=null),u||this._initOrUpdateEndLabel(t,i,Pu(T));var A=m.getClipPath();A?ac(A,{shape:Jb(this,i,!1,t).shape},t):m.setClipPath(Jb(this,i,!0,t)),x&&f.updateData(o,{isIgnore:w,clipShape:S,disableAnimation:!0,getSymbolPoint:function(t){return[c[2*t],c[2*t+1]];}}),Vb(this._stackedOnPoints,_)&&Vb(this._points,c)||(g?this._doUpdateAnimation(o,_,i,n,C,v):(C&&(c=Wb(c,i,C),_&&(_=Wb(_,i,C))),d.setShape({points:c}),p&&p.setShape({points:c,stackedOnPoints:_})));}else x&&f.updateData(o,{isIgnore:w,clipShape:S,disableAnimation:!0,getSymbolPoint:function(t){return[c[2*t],c[2*t+1]];}}),g&&this._initSymbolLabelAnimation(o,i,S),C&&(c=Wb(c,i,C),_&&(_=Wb(_,i,C))),d=this._newPolyline(c),y&&(p=this._newPolygon(c,_)),u||this._initOrUpdateEndLabel(t,i,Pu(T)),m.setClipPath(Jb(this,i,!0,t));var E=t.get([\"emphasis\",\"focus\"]),N=t.get([\"emphasis\",\"blurScope\"]);d.useStyle(M(s.getLineStyle(),{fill:\"none\",stroke:T,lineJoin:\"bevel\"})),js(d,t,\"lineStyle\"),d.style.lineWidth>0&&\"bolder\"===t.get([\"emphasis\",\"lineStyle\",\"width\"])&&(d.getState(\"emphasis\").style.lineWidth=+d.style.lineWidth+1),Qo(d).seriesIndex=t.seriesIndex,Ps(d,E,N);var D=Gb(t.get(\"smooth\")),O=t.get(\"smoothMonotone\"),I=t.get(\"connectNulls\");if(d.setShape({smooth:D,smoothMonotone:O,connectNulls:I}),p){var L=o.getCalculationInfo(\"stackedOnSeries\"),B=0;p.useStyle(M(l.getAreaStyle(),{fill:T,opacity:.7,lineJoin:\"bevel\",decal:o.getVisual(\"style\").decal})),L&&(B=Gb(L.get(\"smooth\"))),p.setShape({smooth:D,stackedOnSmooth:B,smoothMonotone:O,connectNulls:I}),js(p,t,\"areaStyle\"),Qo(p).seriesIndex=t.seriesIndex,Ps(p,E,N);}var R=function(t){r._changePolyState(t);};o.eachItemGraphicEl(function(t){t&&(t.onHoverStateChange=R);}),this._polyline.onHoverStateChange=R,this._data=o,this._coordSys=i,this._stackedOnPoints=_,this._points=c,this._step=C,this._valueOrigin=v,t.get(\"triggerLineEvent\")&&(this.packEventData(t,d),p&&this.packEventData(t,p));},e.prototype.packEventData=function(t,e){Qo(e).eventData={componentType:\"series\",componentSubType:\"line\",componentIndex:t.componentIndex,seriesIndex:t.seriesIndex,seriesName:t.name,seriesType:\"line\"};},e.prototype.highlight=function(t,e,n,r){var i=t.getData(),a=mi(i,r);if(this._changePolyState(\"emphasis\"),!(a instanceof Array)&&null!=a&&a>=0){var o=i.getLayout(\"points\"),s=i.getItemGraphicEl(a);if(!s){var l=o[2*a],c=o[2*a+1];if(isNaN(l)||isNaN(c))return;if(this._clipShapeForSymbol&&!this._clipShapeForSymbol.contain(l,c))return;var u=t.get(\"zlevel\"),h=t.get(\"z\");(s=new wb(i,a)).x=l,s.y=c,s.setZ(u,h);var f=s.getSymbolPath().getTextContent();f&&(f.zlevel=u,f.z=h,f.z2=this._polyline.z2+1),s.__temp=!0,i.setItemGraphicEl(a,s),s.stopSymbolAnimation(!0),this.group.add(s);}s.highlight();}else bd.prototype.highlight.call(this,t,e,n,r);},e.prototype.downplay=function(t,e,n,r){var i=t.getData(),a=mi(i,r);if(this._changePolyState(\"normal\"),null!=a&&a>=0){var o=i.getItemGraphicEl(a);o&&(o.__temp?(i.setItemGraphicEl(a,null),this.group.remove(o)):o.downplay());}else bd.prototype.downplay.call(this,t,e,n,r);},e.prototype._changePolyState=function(t){var e=this._polygon;xs(this._polyline,t),e&&xs(e,t);},e.prototype._newPolyline=function(t){var e=this._polyline;return e&&this._lineGroup.remove(e),e=new Pb({shape:{points:t},segmentIgnoreThreshold:2,z2:10}),this._lineGroup.add(e),this._polyline=e,e;},e.prototype._newPolygon=function(t,e){var n=this._polygon;return n&&this._lineGroup.remove(n),n=new qb({shape:{points:t,stackedOnPoints:e},segmentIgnoreThreshold:2}),this._lineGroup.add(n),this._polygon=n,n;},e.prototype._initSymbolLabelAnimation=function(t,e,n){var r,i,a=e.getBaseAxis(),o=a.inverse;\"cartesian2d\"===e.type?(r=a.isHorizontal(),i=!1):\"polar\"===e.type&&(r=\"angle\"===a.dim,i=!0);var s=t.hostModel,l=s.get(\"animationDuration\");\"function\"==typeof l&&(l=l(null));var c=s.get(\"animationDelay\")||0,u=\"function\"==typeof c?c(null):c;t.eachItemGraphicEl(function(t,a){var s=t;if(s){var h=[t.x,t.y],f=void 0,d=void 0,p=void 0;if(n)if(i){var m=n,g=e.pointToCoord(h);r?(f=m.startAngle,d=m.endAngle,p=-g[1]/180*Math.PI):(f=m.r0,d=m.r,p=g[0]);}else{var y=n;r?(f=y.x,d=y.x+y.width,p=t.x):(f=y.y+y.height,d=y.y,p=t.y);}var v=d===f?0:(p-f)/(d-f);o&&(v=1-v);var b=\"function\"==typeof c?c(a):l*v+u,_=s.getSymbolPath(),x=_.getTextContent();s.attr({scaleX:0,scaleY:0}),s.animateTo({scaleX:1,scaleY:1},{duration:200,setToFinal:!0,delay:b}),x&&x.animateFrom({style:{opacity:0}},{duration:300,delay:b}),_.disableLabelAnimation=!0;}});},e.prototype._initOrUpdateEndLabel=function(t,e,n){var r=t.getModel(\"endLabel\");if(Qb(t)){var i=t.getData(),a=this._polyline,o=this._endLabel;o||((o=this._endLabel=new Ho({z2:200})).ignoreClip=!0,a.setTextContent(this._endLabel),a.disableLabelAnimation=!0);var s=function(t){for(var e,n,r=t.length/2;r>0&&(e=t[2*r-2],n=t[2*r-1],isNaN(e)||isNaN(n));r--);return r-1;}(i.getLayout(\"points\"));s>=0&&(Sc(a,Cc(t,\"endLabel\"),{inheritColor:n,labelFetcher:t,labelDataIndex:s,defaultText:function(t,e,n){return null!=n?xb(i,n):_b(i,t);},enableTextSetter:!0},function(t,e){var n=e.getBaseAxis(),r=n.isHorizontal(),i=n.inverse,a=r?i?\"right\":\"left\":\"center\",o=r?\"middle\":i?\"top\":\"bottom\";return{normal:{align:t.get(\"align\")||a,verticalAlign:t.get(\"verticalAlign\")||o}};}(r,e)),a.textConfig.position=null);}else this._endLabel&&(this._polyline.removeTextContent(),this._endLabel=null);},e.prototype._endLabelOnDuring=function(t,e,n,r,i,a,o){var s=this._endLabel,l=this._polyline;if(s){t<1&&null==r.originalX&&(r.originalX=s.x,r.originalY=s.y);var c=n.getLayout(\"points\"),u=n.hostModel,h=u.get(\"connectNulls\"),f=a.get(\"precision\"),d=a.get(\"distance\")||0,p=o.getBaseAxis(),m=p.isHorizontal(),g=p.inverse,y=e.shape,v=g?m?y.x:y.y+y.height:m?y.x+y.width:y.y,b=(m?d:0)*(g?-1:1),_=(m?0:-d)*(g?-1:1),x=m?\"x\":\"y\",w=function(t,e,n){for(var r,i,a=t.length/2,o=\"x\"===n?0:1,s=0,l=-1,c=0;c<a;c++)if(i=t[2*c+o],!isNaN(i)&&!isNaN(t[2*c+1-o]))if(0!==c){if(r<=e&&i>=e||r>=e&&i<=e){l=c;break;}s=c,r=i;}else r=i;return{range:[s,l],t:(e-r)/(i-r)};}(c,v,x),k=w.range,S=k[1]-k[0],C=void 0;if(S>=1){if(S>1&&!h){var M=Kb(c,k[0]);s.attr({x:M[0]+b,y:M[1]+_}),i&&(C=u.getRawValue(k[0]));}else{(M=l.getPointOn(v,x))&&s.attr({x:M[0]+b,y:M[1]+_});var T=u.getRawValue(k[0]),A=u.getRawValue(k[1]);i&&(C=function(t,e,n,r,i){var a=null==e||\"auto\"===e;if(null==r)return r;if(\"number\"==typeof r)return Pr(p=$e(n||0,r,i),a?Math.max(Fr(n||0),Fr(r)):e);if(\"string\"==typeof r)return i<1?n:r;for(var o=[],s=n,l=r,c=Math.max(s?s.length:0,l.length),u=0;u<c;++u){var h=t.getDimensionInfo(u);if(h&&\"ordinal\"===h.type)o[u]=(i<1&&s?s:l)[u];else{var f=s&&s[u]?s[u]:0,d=l[u],p=$e(f,d,i);o[u]=Pr(p,a?Math.max(Fr(f),Fr(d)):e);}}return o;}(n,f,T,A,w.t));}r.lastFrameIndex=k[0];}else{var E=1===t||r.lastFrameIndex>0?k[0]:0;M=Kb(c,E),i&&(C=u.getRawValue(E)),s.attr({x:M[0]+b,y:M[1]+_});}i&&Lc(s).setLabelText(C);}},e.prototype._doUpdateAnimation=function(t,e,n,r,i,a){var o=this._polyline,s=this._polygon,l=t.hostModel,c=function(t,e,n,r,i,a,o,s){for(var l=function(t,e){var n=[];return e.diff(t).add(function(t){n.push({cmd:\"+\",idx:t});}).update(function(t,e){n.push({cmd:\"=\",idx:e,idx1:t});}).remove(function(t){n.push({cmd:\"-\",idx:t});}).execute(),n;}(t,e),c=[],u=[],h=[],f=[],d=[],p=[],m=[],g=Ab(i,e,o),y=t.getLayout(\"points\")||[],v=e.getLayout(\"points\")||[],b=0;b<l.length;b++){var _=l[b],x=!0,w=void 0,k=void 0;switch(_.cmd){case\"=\":w=2*_.idx,k=2*_.idx1;var S=y[w],C=y[w+1],M=v[k],T=v[k+1];(isNaN(S)||isNaN(C))&&(S=M,C=T),c.push(S,C),u.push(M,T),h.push(n[w],n[w+1]),f.push(r[k],r[k+1]),m.push(e.getRawIndex(_.idx1));break;case\"+\":var A=_.idx,E=g.dataDimsForPoint,N=i.dataToPoint([e.get(E[0],A),e.get(E[1],A)]);k=2*A,c.push(N[0],N[1]),u.push(v[k],v[k+1]);var D=Eb(g,i,e,A);h.push(D[0],D[1]),f.push(r[k],r[k+1]),m.push(e.getRawIndex(A));break;case\"-\":x=!1;}x&&(d.push(_),p.push(p.length));}p.sort(function(t,e){return m[t]-m[e];});var O=c.length,I=Ob(O),L=Ob(O),B=Ob(O),R=Ob(O),z=[];for(b=0;b<p.length;b++){var P=p[b],F=2*b,q=2*P;I[F]=c[q],I[F+1]=c[q+1],L[F]=u[q],L[F+1]=u[q+1],B[F]=h[q],B[F+1]=h[q+1],R[F]=f[q],R[F+1]=f[q+1],z[b]=d[P];}return{current:I,next:L,stackedOnCurrent:B,stackedOnNext:R,status:z};}(this._data,t,this._stackedOnPoints,e,this._coordSys,0,this._valueOrigin),u=c.current,h=c.stackedOnCurrent,f=c.next,d=c.stackedOnNext;if(i&&(u=Wb(c.current,n,i),h=Wb(c.stackedOnCurrent,n,i),f=Wb(c.next,n,i),d=Wb(c.stackedOnNext,n,i)),$b(u,f)>3e3||s&&$b(h,d)>3e3)return o.stopAnimation(),o.setShape({points:f}),void(s&&(s.stopAnimation(),s.setShape({points:f,stackedOnPoints:d})));o.shape.__points=c.current,o.shape.points=u;var p={shape:{points:f}};c.current!==u&&(p.shape.__points=c.next),o.stopAnimation(),ic(o,p,l),s&&(s.setShape({points:u,stackedOnPoints:h}),s.stopAnimation(),ic(s,{shape:{stackedOnPoints:d}},l),o.shape.points!==s.shape.points&&(s.shape.points=o.shape.points));for(var m=[],g=c.status,y=0;y<g.length;y++)if(\"=\"===g[y].cmd){var v=t.getItemGraphicEl(g[y].idx1);v&&m.push({el:v,ptIdx:y});}o.animators&&o.animators.length&&o.animators[0].during(function(){s&&s.dirtyShape();for(var t=o.shape.__points,e=0;e<m.length;e++){var n=m[e].el,r=2*m[e].ptIdx;n.x=t[r],n.y=t[r+1],n.markRedraw();}});},e.prototype.remove=function(t){var e=this.group,n=this._data;this._lineGroup.removeAll(),this._symbolDraw.remove(!0),n&&n.eachItemGraphicEl(function(t,r){t.__temp&&(e.remove(t),n.setItemGraphicEl(r,null));}),this._polyline=this._polygon=this._coordSys=this._points=this._stackedOnPoints=this._endLabel=this._data=null;},e.type=\"line\",e;}(bd),e_={average:function(t){for(var e=0,n=0,r=0;r<t.length;r++)isNaN(t[r])||(e+=t[r],n++);return 0===n?NaN:e/n;},sum:function(t){for(var e=0,n=0;n<t.length;n++)e+=t[n]||0;return e;},max:function(t){for(var e=-1/0,n=0;n<t.length;n++)t[n]>e&&(e=t[n]);return isFinite(e)?e:NaN;},min:function(t){for(var e=1/0,n=0;n<t.length;n++)t[n]<e&&(e=t[n]);return isFinite(e)?e:NaN;},nearest:function(t){return t[0];}},n_=function(t){return Math.round(t.length/2);};function r_(t){return{seriesType:t,reset:function(t,e,n){var r=t.getData(),i=t.get(\"sampling\"),a=t.coordinateSystem,o=r.count();if(o>10&&\"cartesian2d\"===a.type&&i){var s=a.getBaseAxis(),l=a.getOtherAxis(s),c=s.getExtent(),u=n.getDevicePixelRatio(),h=Math.abs(c[1]-c[0])*(u||1),f=Math.round(o/h);if(f>1){\"lttb\"===i&&t.setData(r.lttbDownSample(r.mapDimension(l.dim),1/f));var d=void 0;\"string\"==typeof i?d=e_[i]:\"function\"==typeof i&&(d=i),d&&t.setData(r.downSample(r.mapDimension(l.dim),1/f,d,n_));}}}};}var i_=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n;}return n(e,t),e.prototype.getInitialData=function(t,e){return Dy(null,this,{useEncodeDefaulter:!0});},e.prototype.getMarkerPosition=function(t){var e=this.coordinateSystem;if(e&&e.clampData){var n=e.dataToPoint(e.clampData(t)),r=this.getData(),i=r.getLayout(\"offset\"),a=r.getLayout(\"size\");return n[e.getBaseAxis().isHorizontal()?0:1]+=i+a/2,n;}return[NaN,NaN];},e.type=\"series.__base_bar__\",e.defaultOption={zlevel:0,z:2,coordinateSystem:\"cartesian2d\",legendHoverLink:!0,barMinHeight:0,barMinAngle:0,large:!1,largeThreshold:400,progressive:3e3,progressiveChunkMode:\"mod\"},e;}(sd);sd.registerClass(i_);var a_=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n;}var r,i;return n(e,t),e.prototype.getInitialData=function(){return Dy(null,this,{useEncodeDefaulter:!0,createInvertedIndices:!!this.get(\"realtimeSort\",!0)||null});},e.prototype.getProgressive=function(){return!!this.get(\"large\")&&this.get(\"progressive\");},e.prototype.getProgressiveThreshold=function(){var t=this.get(\"progressiveThreshold\"),e=this.get(\"largeThreshold\");return e>t&&(t=e),t;},e.prototype.brushSelector=function(t,e,n){return n.rect(e.getItemLayout(t));},e.type=\"series.bar\",e.dependencies=[\"grid\",\"polar\"],e.defaultOption=(r=i_.defaultOption,i={clip:!0,roundCap:!1,showBackground:!1,backgroundStyle:{color:\"rgba(180, 180, 180, 0.2)\",borderColor:null,borderWidth:0,borderType:\"solid\",borderRadius:0,shadowBlur:0,shadowColor:null,shadowOffsetX:0,shadowOffsetY:0,opacity:1},select:{itemStyle:{borderColor:\"#212121\"}},realtimeSort:!1},S(S({},r,!0),i,!0)),e;}(i_),o_=function(){this.cx=0,this.cy=0,this.r0=0,this.r=0,this.startAngle=0,this.endAngle=2*Math.PI,this.clockwise=!0;},s_=function(t){function e(e){var n=t.call(this,e)||this;return n.type=\"sausage\",n;}return n(e,t),e.prototype.getDefaultShape=function(){return new o_();},e.prototype.buildPath=function(t,e){var n=e.cx,r=e.cy,i=Math.max(e.r0||0,0),a=Math.max(e.r,0),o=.5*(a-i),s=i+o,l=e.startAngle,c=e.endAngle,u=e.clockwise,h=Math.cos(l),f=Math.sin(l),d=Math.cos(c),p=Math.sin(c);(u?c-l<2*Math.PI:l-c<2*Math.PI)&&(t.moveTo(h*i+n,f*i+r),t.arc(h*s+n,f*s+r,o,-Math.PI+l,l,!u)),t.arc(n,r,a,l,c,!u),t.moveTo(d*a+n,p*a+r),t.arc(d*s+n,p*s+r,o,c-2*Math.PI,c-Math.PI,!u),0!==i&&(t.arc(n,r,i,c,l,u),t.moveTo(h*i+n,p*i+r)),t.closePath();},e;}(No);function l_(t,e,n){return e*Math.sin(t)*(n?-1:1);}function c_(t,e,n){return e*Math.cos(t)*(n?1:-1);}var u_=[0,0],h_=Math.max,f_=Math.min,d_=function(t){function e(){var n=t.call(this)||this;return n.type=e.type,n._isFirstFrame=!0,n;}return n(e,t),e.prototype.render=function(t,e,n,r){this._model=t,this._removeOnRenderedListener(n),this._updateDrawMode(t);var i=t.get(\"coordinateSystem\");(\"cartesian2d\"===i||\"polar\"===i)&&(this._isLargeDraw?this._renderLarge(t,e,n):this._renderNormal(t,e,n,r));},e.prototype.incrementalPrepareRender=function(t){this._clear(),this._updateDrawMode(t),this._updateLargeClip(t);},e.prototype.incrementalRender=function(t,e){this._incrementalRenderLarge(t,e);},e.prototype._updateDrawMode=function(t){var e=t.pipelineContext.large;null!=this._isLargeDraw&&e===this._isLargeDraw||(this._isLargeDraw=e,this._clear());},e.prototype._renderNormal=function(t,e,n,r){var i,a=this.group,o=t.getData(),s=this._data,l=t.coordinateSystem,c=l.getBaseAxis();\"cartesian2d\"===l.type?i=c.isHorizontal():\"polar\"===l.type&&(i=\"angle\"===c.dim);var u=t.isAnimationEnabled()?t:null,h=function(t,e){var n=t.get(\"realtimeSort\",!0),r=e.getBaseAxis();if(n&&\"category\"===r.type&&\"cartesian2d\"===e.type)return{baseAxis:r,otherAxis:e.getOtherAxis(r)};}(t,l);h&&this._enableRealtimeSort(h,o,n);var f=t.get(\"clip\",!0)||h,d=function(t,e){var n=t.getArea&&t.getArea();if(Hb(t,\"cartesian2d\")){var r=t.getBaseAxis();if(\"category\"!==r.type||!r.onBand){var i=e.getLayout(\"bandWidth\");r.isHorizontal()?(n.x-=i,n.width+=2*i):(n.y-=i,n.height+=2*i);}}return n;}(l,o);a.removeClipPath();var p=t.get(\"roundCap\",!0),m=t.get(\"showBackground\",!0),g=t.getModel(\"backgroundStyle\"),y=g.get(\"borderRadius\")||0,v=[],b=this._backgroundEls,_=r&&r.isInitSort,x=r&&\"changeAxisOrder\"===r.type;function w(t){var e=x_[l.type](o,t),n=function(t,e,n){return new(\"polar\"===t.type?Tl:qo)({shape:A_(e,n,t),silent:!0,z2:0});}(l,i,e);return n.useStyle(g.getItemStyle()),\"cartesian2d\"===l.type&&n.setShape(\"r\",y),v[t]=n,n;}o.diff(s).add(function(e){var n=o.getItemModel(e),r=x_[l.type](o,e,n);if(m&&w(e),o.hasValue(e)&&__[l.type](r)){var s=!1;f&&(s=p_[l.type](d,r));var g=m_[l.type](t,o,e,r,i,u,c.model,!1,p);h&&(g.forceLabelAnimation=!0),k_(g,o,e,n,r,t,i,\"polar\"===l.type),_?g.attr({shape:r}):h?g_(h,u,g,r,e,i,!1,!1):ac(g,{shape:r},t,e),o.setItemGraphicEl(e,g),a.add(g),g.ignore=s;}}).update(function(e,n){var r=o.getItemModel(e),k=x_[l.type](o,e,r);if(m){var S=void 0;0===b.length?S=w(n):((S=b[n]).useStyle(g.getItemStyle()),\"cartesian2d\"===l.type&&S.setShape(\"r\",y),v[e]=S);var C=x_[l.type](o,e);ic(S,{shape:A_(i,C,l)},u,e);}var M=s.getItemGraphicEl(n);if(o.hasValue(e)&&__[l.type](k)){var T=!1;if(f&&(T=p_[l.type](d,k))&&a.remove(M),M?uc(M):M=m_[l.type](t,o,e,k,i,u,c.model,!!M,p),h&&(M.forceLabelAnimation=!0),x){var A=M.getTextContent();if(A){var E=Lc(A);null!=E.prevValue&&(E.prevValue=E.value);}}x||k_(M,o,e,r,k,t,i,\"polar\"===l.type),_?M.attr({shape:k}):h?g_(h,u,M,k,e,i,!0,x):ic(M,{shape:k},t,e,null),o.setItemGraphicEl(e,M),M.ignore=T,a.add(M);}else a.remove(M);}).remove(function(e){var n=s.getItemGraphicEl(e);n&&cc(n,t,e);}).execute();var k=this._backgroundGroup||(this._backgroundGroup=new Tr());k.removeAll();for(var S=0;S<v.length;++S)k.add(v[S]);a.add(k),this._backgroundEls=v,this._data=o;},e.prototype._renderLarge=function(t,e,n){this._clear(),M_(t,this.group),this._updateLargeClip(t);},e.prototype._incrementalRenderLarge=function(t,e){this._removeBackground(),M_(e,this.group,!0);},e.prototype._updateLargeClip=function(t){var e=t.get(\"clip\",!0)?function(t,e,n,r,i){return t?\"polar\"===t.type?Ub(t,e,n):\"cartesian2d\"===t.type?jb(t,e,n,r,i):null:null;}(t.coordinateSystem,!1,t):null;e?this.group.setClipPath(e):this.group.removeClipPath();},e.prototype._enableRealtimeSort=function(t,e,n){var r=this;if(e.count()){var i=t.baseAxis;if(this._isFirstFrame)this._dispatchInitSort(e,t,n),this._isFirstFrame=!1;else{var a=function(t){var n=e.getItemGraphicEl(t);if(n){var r=n.shape;return(i.isHorizontal()?Math.abs(r.height):Math.abs(r.width))||0;}return 0;};this._onRendered=function(){r._updateSortWithinSameData(e,a,i,n);},n.getZr().on(\"rendered\",this._onRendered);}}},e.prototype._dataSort=function(t,e,n){var r=[];return t.each(t.mapDimension(e.dim),function(t,e){var i=n(e);i=null==i?NaN:i,r.push({dataIndex:e,mappedValue:i,ordinalNumber:t});}),r.sort(function(t,e){return e.mappedValue-t.mappedValue;}),{ordinalNumbers:I(r,function(t){return t.ordinalNumber;})};},e.prototype._isOrderChangedWithinSameData=function(t,e,n){for(var r=n.scale,i=t.mapDimension(n.dim),a=Number.MAX_VALUE,o=0,s=r.getOrdinalMeta().categories.length;o<s;++o){var l=t.rawIndexOf(i,r.getRawOrdinalNumber(o)),c=l<0?Number.MIN_VALUE:e(t.indexOfRawIndex(l));if(c>a)return!0;a=c;}return!1;},e.prototype._isOrderDifferentInView=function(t,e){for(var n=e.scale,r=n.getExtent(),i=Math.max(0,r[0]),a=Math.min(r[1],n.getOrdinalMeta().categories.length-1);i<=a;++i)if(t.ordinalNumbers[i]!==n.getRawOrdinalNumber(i))return!0;},e.prototype._updateSortWithinSameData=function(t,e,n,r){if(this._isOrderChangedWithinSameData(t,e,n)){var i=this._dataSort(t,n,e);this._isOrderDifferentInView(i,n)&&(this._removeOnRenderedListener(r),r.dispatchAction({type:\"changeAxisOrder\",componentType:n.dim+\"Axis\",axisId:n.index,sortInfo:i}));}},e.prototype._dispatchInitSort=function(t,e,n){var r=e.baseAxis,i=this._dataSort(t,r,function(n){return t.get(t.mapDimension(e.otherAxis.dim),n);});n.dispatchAction({type:\"changeAxisOrder\",componentType:r.dim+\"Axis\",isInitSort:!0,axisId:r.index,sortInfo:i});},e.prototype.remove=function(t,e){this._clear(this._model),this._removeOnRenderedListener(e);},e.prototype.dispose=function(t,e){this._removeOnRenderedListener(e);},e.prototype._removeOnRenderedListener=function(t){this._onRendered&&(t.getZr().off(\"rendered\",this._onRendered),this._onRendered=null);},e.prototype._clear=function(t){var e=this.group,n=this._data;t&&t.isAnimationEnabled()&&n&&!this._isLargeDraw?(this._removeBackground(),this._backgroundEls=[],n.eachItemGraphicEl(function(e){cc(e,t,Qo(e).dataIndex);})):e.removeAll(),this._data=null,this._isFirstFrame=!0;},e.prototype._removeBackground=function(){this.group.remove(this._backgroundGroup),this._backgroundGroup=null;},e.type=\"bar\",e;}(bd),p_={cartesian2d:function(t,e){var n=e.width<0?-1:1,r=e.height<0?-1:1;n<0&&(e.x+=e.width,e.width=-e.width),r<0&&(e.y+=e.height,e.height=-e.height);var i=t.x+t.width,a=t.y+t.height,o=h_(e.x,t.x),s=f_(e.x+e.width,i),l=h_(e.y,t.y),c=f_(e.y+e.height,a),u=s<o,h=c<l;return e.x=u&&o>i?s:o,e.y=h&&l>a?c:l,e.width=u?0:s-o,e.height=h?0:c-l,n<0&&(e.x+=e.width,e.width=-e.width),r<0&&(e.y+=e.height,e.height=-e.height),u||h;},polar:function(t,e){var n=e.r0<=e.r?1:-1;if(n<0){var r=e.r;e.r=e.r0,e.r0=r;}var i=f_(e.r,t.r),a=h_(e.r0,t.r0);e.r=i,e.r0=a;var o=i-a<0;return n<0&&(r=e.r,e.r=e.r0,e.r0=r),o;}},m_={cartesian2d:function(t,e,n,r,i,a,o,s,l){var c=new qo({shape:C({},r),z2:1});return c.__dataIndex=n,c.name=\"item\",a&&(c.shape[i?\"height\":\"width\"]=0),c;},polar:function(t,e,n,r,i,a,o,s,l){var c=!i&&l?s_:Tl,u=new c({shape:r,z2:1});u.name=\"item\";var h,f,d=w_(i);if(u.calculateTextPosition=(h=d,f=({isRoundCap:c===s_}||{}).isRoundCap,function(t,e,n){var r=e.position;if(!r||r instanceof Array)return gr(t,e,n);var i=h(r),a=null!=e.distance?e.distance:5,o=this.shape,s=o.cx,l=o.cy,c=o.r,u=o.r0,d=(c+u)/2,p=o.startAngle,m=o.endAngle,g=(p+m)/2,y=f?Math.abs(c-u)/2:0,v=Math.cos,b=Math.sin,_=s+c*v(p),x=l+c*b(p),w=\"left\",k=\"top\";switch(i){case\"startArc\":_=s+(u-a)*v(g),x=l+(u-a)*b(g),w=\"center\",k=\"top\";break;case\"insideStartArc\":_=s+(u+a)*v(g),x=l+(u+a)*b(g),w=\"center\",k=\"bottom\";break;case\"startAngle\":_=s+d*v(p)+l_(p,a+y,!1),x=l+d*b(p)+c_(p,a+y,!1),w=\"right\",k=\"middle\";break;case\"insideStartAngle\":_=s+d*v(p)+l_(p,-a+y,!1),x=l+d*b(p)+c_(p,-a+y,!1),w=\"left\",k=\"middle\";break;case\"middle\":_=s+d*v(g),x=l+d*b(g),w=\"center\",k=\"middle\";break;case\"endArc\":_=s+(c+a)*v(g),x=l+(c+a)*b(g),w=\"center\",k=\"bottom\";break;case\"insideEndArc\":_=s+(c-a)*v(g),x=l+(c-a)*b(g),w=\"center\",k=\"top\";break;case\"endAngle\":_=s+d*v(m)+l_(m,a+y,!0),x=l+d*b(m)+c_(m,a+y,!0),w=\"left\",k=\"middle\";break;case\"insideEndAngle\":_=s+d*v(m)+l_(m,-a+y,!0),x=l+d*b(m)+c_(m,-a+y,!0),w=\"right\",k=\"middle\";break;default:return gr(t,e,n);}return(t=t||{}).x=_,t.y=x,t.align=w,t.verticalAlign=k,t;}),a){var p=i?\"r\":\"endAngle\",m={};u.shape[p]=i?0:r.startAngle,m[p]=r[p],(s?ic:ac)(u,{shape:m},a);}return u;}};function g_(t,e,n,r,i,a,o,s){var l,c;a?(c={x:r.x,width:r.width},l={y:r.y,height:r.height}):(c={y:r.y,height:r.height},l={x:r.x,width:r.width}),s||(o?ic:ac)(n,{shape:l},e,i,null),(o?ic:ac)(n,{shape:c},e?t.baseAxis.model:null,i);}function y_(t,e){for(var n=0;n<e.length;n++)if(!isFinite(t[e[n]]))return!0;return!1;}var v_=[\"x\",\"y\",\"width\",\"height\"],b_=[\"cx\",\"cy\",\"r\",\"startAngle\",\"endAngle\"],__={cartesian2d:function(t){return!y_(t,v_);},polar:function(t){return!y_(t,b_);}},x_={cartesian2d:function(t,e,n){var r=t.getItemLayout(e),i=n?function(t,e){var n=t.get([\"itemStyle\",\"borderColor\"]);if(!n||\"none\"===n)return 0;var r=t.get([\"itemStyle\",\"borderWidth\"])||0,i=isNaN(e.width)?Number.MAX_VALUE:Math.abs(e.width),a=isNaN(e.height)?Number.MAX_VALUE:Math.abs(e.height);return Math.min(r,i,a);}(n,r):0,a=r.width>0?1:-1,o=r.height>0?1:-1;return{x:r.x+a*i/2,y:r.y+o*i/2,width:r.width-a*i,height:r.height-o*i};},polar:function(t,e,n){var r=t.getItemLayout(e);return{cx:r.cx,cy:r.cy,r0:r.r0,r:r.r,startAngle:r.startAngle,endAngle:r.endAngle,clockwise:r.clockwise};}};function w_(t){return function(t){var e=t?\"Arc\":\"Angle\";return function(t){switch(t){case\"start\":case\"insideStart\":case\"end\":case\"insideEnd\":return t+e;default:return t;}};}(t);}function k_(t,e,n,r,i,a,o,s){var l=e.getItemVisual(n,\"style\");s||t.setShape(\"r\",r.get([\"itemStyle\",\"borderRadius\"])||0),t.useStyle(l);var c=r.getShallow(\"cursor\");c&&t.attr(\"cursor\",c);var u=s?o?i.r>=i.r0?\"endArc\":\"startArc\":i.endAngle>=i.startAngle?\"endAngle\":\"startAngle\":o?i.height>=0?\"bottom\":\"top\":i.width>=0?\"right\":\"left\",h=Cc(r);Sc(t,h,{labelFetcher:a,labelDataIndex:n,defaultText:_b(a.getData(),n),inheritColor:l.fill,defaultOpacity:l.opacity,defaultOutsidePosition:u});var f=t.getTextContent();if(s&&f){var d=r.get([\"label\",\"position\"]);t.textConfig.inside=\"middle\"===d||null,function(t,e,n,r){if(\"number\"!=typeof r){if(F(e))t.setTextConfig({rotation:0});else{var i,a=t.shape,o=a.clockwise?a.startAngle:a.endAngle,s=a.clockwise?a.endAngle:a.startAngle,l=(o+s)/2,c=n(e);switch(c){case\"startArc\":case\"insideStartArc\":case\"middle\":case\"insideEndArc\":case\"endArc\":i=l;break;case\"startAngle\":case\"insideStartAngle\":i=o;break;case\"endAngle\":case\"insideEndAngle\":i=s;break;default:return void t.setTextConfig({rotation:0});}var u=1.5*Math.PI-i;\"middle\"===c&&u>Math.PI/2&&u<1.5*Math.PI&&(u-=Math.PI),t.setTextConfig({rotation:u});}}else t.setTextConfig({rotation:r});}(t,\"outside\"===d?u:d,w_(o),r.get([\"label\",\"rotate\"]));}!function(t,e,n,r){if(t){var i=Lc(t);i.prevValue=i.value,i.value=n;var a=e.normal;i.valueAnimation=a.get(\"valueAnimation\"),i.valueAnimation&&(i.precision=a.get(\"precision\"),i.defaultInterpolatedText=r,i.statesModels=e);}}(f,h,a.getRawValue(n),function(t){return xb(e,t);});var p=r.getModel([\"emphasis\"]);Ps(t,p.get(\"focus\"),p.get(\"blurScope\")),js(t,r),function(t){return null!=t.startAngle&&null!=t.endAngle&&t.startAngle===t.endAngle;}(i)&&(t.style.fill=\"none\",t.style.stroke=\"none\",O(t.states,function(t){t.style&&(t.style.fill=t.style.stroke=\"none\");}));}var S_=function(){},C_=function(t){function e(e){var n=t.call(this,e)||this;return n.type=\"largeBar\",n;}return n(e,t),e.prototype.getDefaultShape=function(){return new S_();},e.prototype.buildPath=function(t,e){for(var n=e.points,r=this.__startPoint,i=this.__baseDimIdx,a=0;a<n.length;a+=2)r[i]=n[a+i],t.moveTo(r[0],r[1]),t.lineTo(n[a],n[a+1]);},e;}(No);function M_(t,e,n){var r=t.getData(),i=[],a=r.getLayout(\"valueAxisHorizontal\")?1:0;i[1-a]=r.getLayout(\"valueAxisStart\");var o=r.getLayout(\"largeDataIndices\"),s=r.getLayout(\"barWidth\"),l=t.getModel(\"backgroundStyle\");if(t.get(\"showBackground\",!0)){var c=r.getLayout(\"largeBackgroundPoints\"),u=[];u[1-a]=r.getLayout(\"backgroundStart\");var h=new C_({shape:{points:c},incremental:!!n,silent:!0,z2:0});h.__startPoint=u,h.__baseDimIdx=a,h.__largeDataIndices=o,h.__barWidth=s,function(t,e,n){var r=e.get(\"borderColor\")||e.get(\"color\"),i=e.getItemStyle();t.useStyle(i),t.style.fill=null,t.style.stroke=r,t.style.lineWidth=n.getLayout(\"barWidth\");}(h,l,r),e.add(h);}var f=new C_({shape:{points:r.getLayout(\"largePoints\")},incremental:!!n});f.__startPoint=i,f.__baseDimIdx=a,f.__largeDataIndices=o,f.__barWidth=s,e.add(f),function(t,e,n){var r=n.getVisual(\"style\");t.useStyle(C({},r)),t.style.fill=null,t.style.stroke=r.fill,t.style.lineWidth=n.getLayout(\"barWidth\");}(f,0,r),Qo(f).seriesIndex=t.seriesIndex,t.get(\"silent\")||(f.on(\"mousedown\",T_),f.on(\"mousemove\",T_));}var T_=Cd(function(t){var e=function(t,e,n){var r=t.__baseDimIdx,i=1-r,a=t.shape.points,o=t.__largeDataIndices,s=Math.abs(t.__barWidth/2),l=t.__startPoint[i];u_[0]=e,u_[1]=n;for(var c=u_[r],u=u_[1-r],h=c-s,f=c+s,d=0,p=a.length/2;d<p;d++){var m=2*d,g=a[m+r],y=a[m+i];if(g>=h&&g<=f&&(l<=y?u>=l&&u<=y:u>=y&&u<=l))return o[d];}return-1;}(this,t.offsetX,t.offsetY);Qo(this).dataIndex=e>=0?e:null;},30,!1);function A_(t,e,n){if(Hb(n,\"cartesian2d\")){var r=e,i=n.getArea();return{x:t?r.x:i.x,y:t?i.y:r.y,width:t?r.width:i.width,height:t?i.height:r.height};}var a=e;return{cx:(i=n.getArea()).cx,cy:i.cy,r0:t?i.r0:a.r0,r:t?i.r:a.r,startAngle:t?a.startAngle:0,endAngle:t?a.endAngle:2*Math.PI};}var E_=2*Math.PI,N_=Math.PI/180;function D_(t,e){return Hu(t.getBoxLayoutParams(),{width:e.getWidth(),height:e.getHeight()});}function O_(t,e){var n=D_(t,e),r=t.get(\"center\"),i=t.get(\"radius\");F(i)||(i=[0,i]),F(r)||(r=[r,r]);var a=zr(n.width,e.getWidth()),o=zr(n.height,e.getHeight()),s=Math.min(a,o);return{cx:zr(r[0],a)+n.x,cy:zr(r[1],o)+n.y,r0:zr(i[0],s/2),r:zr(i[1],s/2)};}function I_(t,e,n){e.eachSeriesByType(t,function(t){var e=t.getData(),r=e.mapDimension(\"value\"),i=D_(t,n),a=O_(t,n),o=a.cx,s=a.cy,l=a.r,c=a.r0,u=-t.get(\"startAngle\")*N_,h=t.get(\"minAngle\")*N_,f=0;e.each(r,function(t){!isNaN(t)&&f++;});var d=e.getSum(r),p=Math.PI/(d||f)*2,m=t.get(\"clockwise\"),g=t.get(\"roseType\"),y=t.get(\"stillShowZeroSum\"),v=e.getDataExtent(r);v[0]=0;var b=E_,_=0,x=u,w=m?1:-1;if(e.setLayout({viewRect:i,r:l}),e.each(r,function(t,n){var r;if(isNaN(t))e.setItemLayout(n,{angle:NaN,startAngle:NaN,endAngle:NaN,clockwise:m,cx:o,cy:s,r0:c,r:g?NaN:l});else{(r=\"area\"!==g?0===d&&y?p:t*p:E_/f)<h?(r=h,b-=h):_+=t;var i=x+w*r;e.setItemLayout(n,{angle:r,startAngle:x,endAngle:i,clockwise:m,cx:o,cy:s,r0:c,r:g?Rr(t,v,[c,l]):l}),x=i;}}),b<E_&&f)if(b<=.001){var k=E_/f;e.each(r,function(t,n){if(!isNaN(t)){var r=e.getItemLayout(n);r.angle=k,r.startAngle=u+w*n*k,r.endAngle=u+w*(n+1)*k;}});}else p=b/_,x=u,e.each(r,function(t,n){if(!isNaN(t)){var r=e.getItemLayout(n),i=r.angle===h?h:t*p;r.startAngle=x,r.endAngle=x+w*i,x+=w*i;}});});}var L_=Math.PI/180;function B_(t,e,n,r,i,a,o,s,l,c){if(!(t.length<2)){for(var u=t.length,h=0;h<u;h++)if(\"outer\"===t[h].position&&\"labelLine\"===t[h].labelAlignTo){var f=t[h].label.x-c;t[h].linePoints[1][0]+=f,t[h].label.x=c;}ub(t,l,l+o)&&function(t){for(var a={list:[],maxY:0},o={list:[],maxY:0},s=0;s<t.length;s++)if(\"none\"===t[s].labelAlignTo){var l=t[s],c=l.label.y>n?o:a,u=Math.abs(l.label.y-n);if(u>c.maxY){var h=l.label.x-e-l.len2*i,f=r+l.len,p=Math.abs(h)<f?Math.sqrt(u*u/(1-h*h/f/f)):f;c.rB=p,c.maxY=u;}c.list.push(l);}d(a),d(o);}(t);}function d(t){for(var a=t.rB,o=a*a,s=0;s<t.list.length;s++){var l=t.list[s],c=Math.abs(l.label.y-n),u=r+l.len,h=u*u,f=Math.sqrt((1-Math.abs(c*c/o))*h);l.label.x=e+(f+l.len2)*i;}}}function R_(t){return\"center\"===t.position;}function z_(t){var e,n,r=t.getData(),i=[],a=!1,o=(t.get(\"minShowLabelAngle\")||0)*L_,s=r.getLayout(\"viewRect\"),l=r.getLayout(\"r\"),c=s.width,u=s.x,h=s.y,f=s.height;function d(t){t.ignore=!0;}r.each(function(t){var s=r.getItemGraphicEl(t),h=s.shape,f=s.getTextContent(),p=s.getTextGuideLine(),m=r.getItemModel(t),g=m.getModel(\"label\"),y=g.get(\"position\")||m.get([\"emphasis\",\"label\",\"position\"]),v=g.get(\"distanceToLabelLine\"),b=g.get(\"alignTo\"),_=zr(g.get(\"edgeDistance\"),c),x=g.get(\"bleedMargin\"),w=m.getModel(\"labelLine\"),k=w.get(\"length\");k=zr(k,c);var S=w.get(\"length2\");if(S=zr(S,c),Math.abs(h.endAngle-h.startAngle)<o)return O(f.states,d),void(f.ignore=!0);if(function(t){if(!t.ignore)return!0;for(var e in t.states)if(!1===t.states[e].ignore)return!0;return!1;}(f)){var C,M,T,A,E=(h.startAngle+h.endAngle)/2,N=Math.cos(E),D=Math.sin(E);e=h.cx,n=h.cy;var I,L=\"inside\"===y||\"inner\"===y;if(\"center\"===y)C=h.cx,M=h.cy,A=\"center\";else{var B=(L?(h.r+h.r0)/2*N:h.r*N)+e,R=(L?(h.r+h.r0)/2*D:h.r*D)+n;if(C=B+3*N,M=R+3*D,!L){var z=B+N*(k+l-h.r),P=R+D*(k+l-h.r),F=z+(N<0?-1:1)*S;C=\"edge\"===b?N<0?u+_:u+c-_:F+(N<0?-v:v),M=P,T=[[B,R],[z,P],[F,P]];}A=L?\"center\":\"edge\"===b?N>0?\"right\":\"left\":N>0?\"left\":\"right\";}var q=g.get(\"rotate\");if(\"number\"==typeof q)I=q*(Math.PI/180);else if(\"center\"===y)I=0;else{var j=N<0?-E+Math.PI:-E;\"radial\"===q||!0===q?I=j:\"tangential\"===q&&\"outside\"!==y&&\"outer\"!==y?(I=j+Math.PI/2)>Math.PI/2&&(I-=Math.PI):I=0;}if(a=!!I,f.x=C,f.y=M,f.rotation=I,f.setStyle({verticalAlign:\"middle\"}),L){f.setStyle({align:A});var U=f.states.select;U&&(U.x+=f.x,U.y+=f.y);}else{var H=f.getBoundingRect().clone();H.applyTransform(f.getComputedTransform());var V=(f.style.margin||0)+2.1;H.y-=V/2,H.height+=V,i.push({label:f,labelLine:p,position:y,len:k,len2:S,minTurnAngle:w.get(\"minTurnAngle\"),maxSurfaceAngle:w.get(\"maxSurfaceAngle\"),surfaceNormal:new Zn(N,D),linePoints:T,textAlign:A,labelDistance:v,labelAlignTo:b,edgeDistance:_,bleedMargin:x,rect:H});}s.setTextConfig({inside:L});}}),!a&&t.get(\"avoidLabelOverlap\")&&function(t,e,n,r,i,a,o,s){for(var l=[],c=[],u=Number.MAX_VALUE,h=-Number.MAX_VALUE,f=0;f<t.length;f++){var d=t[f].label;R_(t[f])||(d.x<e?(u=Math.min(u,d.x),l.push(t[f])):(h=Math.max(h,d.x),c.push(t[f])));}for(B_(c,e,n,r,1,0,a,0,s,h),B_(l,e,n,r,-1,0,a,0,s,u),f=0;f<t.length;f++){var p=t[f];if(d=p.label,!R_(p)){var m=p.linePoints;if(m){var g=\"edge\"===p.labelAlignTo,y=p.rect.width,v=void 0;(v=g?d.x<e?m[2][0]-p.labelDistance-o-p.edgeDistance:o+i-p.edgeDistance-m[2][0]-p.labelDistance:d.x<e?d.x-o-p.bleedMargin:o+i-d.x-p.bleedMargin)<p.rect.width&&(p.label.style.width=v,\"edge\"===p.labelAlignTo&&(y=v));var b=m[1][0]-m[2][0];g?d.x<e?m[2][0]=o+p.edgeDistance+y+p.labelDistance:m[2][0]=o+i-p.edgeDistance-y-p.labelDistance:(d.x<e?m[2][0]=d.x+p.labelDistance:m[2][0]=d.x-p.labelDistance,m[1][0]=m[2][0]+b),m[1][1]=m[2][1]=d.y;}}}}(i,e,n,l,c,f,u,h);for(var p=0;p<i.length;p++){var m=i[p],g=m.label,y=m.labelLine,v=isNaN(g.x)||isNaN(g.y);if(g){g.setStyle({align:m.textAlign}),v&&(O(g.states,d),g.ignore=!0);var b=g.states.select;b&&(b.x+=g.x,b.y+=g.y);}if(y){var _=m.linePoints;v||!_?(O(y.states,d),y.ignore=!0):(ob(_,m.minTurnAngle),sb(_,m.surfaceNormal,m.maxSurfaceAngle),y.setShape({points:_}),g.__hostTarget.textGuideLineConfig={anchor:new Zn(_[0][0],_[0][1])});}}}function P_(t,e,n){var r=t.get(\"borderRadius\");return null==r?n?{innerCornerRadius:0,cornerRadius:0}:null:(F(r)||(r=[r,r]),{innerCornerRadius:mr(r[0],e.r0),cornerRadius:mr(r[1],e.r)});}var F_=function(t){function e(e,n,r){var i=t.call(this)||this;i.z2=2;var a=new Ho();return i.setTextContent(a),i.updateData(e,n,r,!0),i;}return n(e,t),e.prototype.updateData=function(t,e,n,i){var a=this,o=t.hostModel,s=t.getItemModel(e),l=s.getModel(\"emphasis\"),c=t.getItemLayout(e),u=C(P_(s.getModel(\"itemStyle\"),c,!0),c);if(isNaN(u.startAngle))a.setShape(u);else{i?(a.setShape(u),\"scale\"===o.getShallow(\"animationType\")?(a.shape.r=c.r0,ac(a,{shape:{r:c.r}},o,e)):null!=n?(a.setShape({startAngle:n,endAngle:n}),ac(a,{shape:{startAngle:c.startAngle,endAngle:c.endAngle}},o,e)):(a.shape.endAngle=c.startAngle,ic(a,{shape:{endAngle:c.endAngle}},o,e))):(uc(a),ic(a,{shape:u},o,e)),a.useStyle(t.getItemVisual(e,\"style\")),js(a,s);var h=(c.startAngle+c.endAngle)/2,f=o.get(\"selectedOffset\"),d=Math.cos(h)*f,p=Math.sin(h)*f,m=s.getShallow(\"cursor\");m&&a.attr(\"cursor\",m),this._updateLabel(o,t,e),a.ensureState(\"emphasis\").shape=r({r:c.r+(l.get(\"scale\")&&l.get(\"scaleSize\")||0)},P_(l.getModel(\"itemStyle\"),c)),C(a.ensureState(\"select\"),{x:d,y:p,shape:P_(s.getModel([\"select\",\"itemStyle\"]),c)}),C(a.ensureState(\"blur\"),{shape:P_(s.getModel([\"blur\",\"itemStyle\"]),c)});var g=a.getTextGuideLine(),y=a.getTextContent();g&&C(g.ensureState(\"select\"),{x:d,y:p}),C(y.ensureState(\"select\"),{x:d,y:p}),Ps(this,l.get(\"focus\"),l.get(\"blurScope\"));}},e.prototype._updateLabel=function(t,e,n){var r=this,i=e.getItemModel(n),a=i.getModel(\"labelLine\"),o=e.getItemVisual(n,\"style\"),s=o&&o.fill,l=o&&o.opacity;Sc(r,Cc(i),{labelFetcher:e.hostModel,labelDataIndex:n,inheritColor:s,defaultOpacity:l,defaultText:t.getFormattedLabel(n,\"normal\")||e.getName(n)});var c=r.getTextContent();r.setTextConfig({position:null,rotation:null}),c.attr({z2:10});var u=t.get([\"label\",\"position\"]);if(\"outside\"!==u&&\"outer\"!==u)r.removeTextGuideLine();else{var h=this.getTextGuideLine();h||(h=new Bl(),this.setTextGuideLine(h)),function(t,e,n){var r=t.getTextGuideLine(),i=t.getTextContent();if(i){for(var a=e.normal,o=a.get(\"show\"),s=i.ignore,l=0;l<rs.length;l++){var c=rs[l],u=e[c],h=\"normal\"===c;if(u){var f=u.get(\"show\");if((h?s:J(i.states[c]&&i.states[c].ignore,s))||!J(f,o)){var d=h?r:r&&r.states.normal;d&&(d.ignore=!0);continue;}r||(r=new Bl(),t.setTextGuideLine(r),h||!s&&o||lb(r,!0,\"normal\",e.normal),t.stateProxy&&(r.stateProxy=t.stateProxy)),lb(r,!1,c,u);}}if(r){M(r.style,n),r.style.fill=null;var p=a.get(\"showAbove\");(t.textGuideLineConfig=t.textGuideLineConfig||{}).showAbove=p||!1,r.buildPath=cb;}}else r&&t.removeTextGuideLine();}(this,function(t,e){e=e||\"labelLine\";for(var n={normal:t.getModel(e)},r=0;r<ns.length;r++){var i=ns[r];n[i]=t.getModel([i,e]);}return n;}(i),{stroke:s,opacity:tt(a.get([\"lineStyle\",\"opacity\"]),l,1)});}},e;}(Tl),q_=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.ignoreLabelLineUpdate=!0,e;}return n(e,t),e.prototype.init=function(){var t=new Tr();this._sectorGroup=t;},e.prototype.render=function(t,e,n,r){var i,a=t.getData(),o=this._data,s=this.group;if(!o&&a.count()>0){for(var l=a.getItemLayout(0),c=1;isNaN(l&&l.startAngle)&&c<a.count();++c)l=a.getItemLayout(c);l&&(i=l.startAngle);}if(this._emptyCircleSector&&s.remove(this._emptyCircleSector),0===a.count()&&t.get(\"showEmptyCircle\")){var u=new Tl({shape:O_(t,n)});u.useStyle(t.getModel(\"emptyCircleStyle\").getItemStyle()),this._emptyCircleSector=u,s.add(u);}a.diff(o).add(function(t){var e=new F_(a,t,i);a.setItemGraphicEl(t,e),s.add(e);}).update(function(t,e){var n=o.getItemGraphicEl(e);n.updateData(a,t,i),n.off(\"click\"),s.add(n),a.setItemGraphicEl(t,n);}).remove(function(e){cc(o.getItemGraphicEl(e),t,e);}).execute(),z_(t),\"expansion\"!==t.get(\"animationTypeUpdate\")&&(this._data=a);},e.prototype.dispose=function(){},e.prototype.containPoint=function(t,e){var n=e.getData().getItemLayout(0);if(n){var r=t[0]-n.cx,i=t[1]-n.cy,a=Math.sqrt(r*r+i*i);return a<=n.r&&a>=n.r0;}},e.type=\"pie\",e;}(bd),j_=function(){function t(t,e){this._getDataWithEncodedVisual=t,this._getRawData=e;}return t.prototype.getAllNames=function(){var t=this._getRawData();return t.mapArray(t.getName);},t.prototype.containName=function(t){return this._getRawData().indexOfName(t)>=0;},t.prototype.indexOfName=function(t){return this._getDataWithEncodedVisual().indexOfName(t);},t.prototype.getItemVisual=function(t,e){return this._getDataWithEncodedVisual().getItemVisual(t,e);},t;}(),U_=function(t){function e(){return null!==t&&t.apply(this,arguments)||this;}return n(e,t),e.prototype.init=function(e){t.prototype.init.apply(this,arguments),this.legendVisualProvider=new j_(z(this.getData,this),z(this.getRawData,this)),this._defaultLabelLine(e);},e.prototype.mergeOption=function(){t.prototype.mergeOption.apply(this,arguments);},e.prototype.getInitialData=function(){return function(t,e,n){e=F(e)&&{coordDimensions:e}||C({encodeDefine:t.getEncode()},e);var r=t.getSource(),i=ky(r,e).dimensions,a=new wy(i,t);return a.initData(r,n),a;}(this,{coordDimensions:[\"value\"],encodeDefaulter:P(fh,this)});},e.prototype.getDataParams=function(e){var n=this.getData(),r=t.prototype.getDataParams.call(this,e),i=[];return n.each(n.mapDimension(\"value\"),function(t){i.push(t);}),r.percent=Ur(i,e,n.hostModel.get(\"percentPrecision\")),r.$vars.push(\"percent\"),r;},e.prototype._defaultLabelLine=function(t){ai(t,\"labelLine\",[\"show\"]);var e=t.labelLine,n=t.emphasis.labelLine;e.show=e.show&&t.label.show,n.show=n.show&&t.emphasis.label.show;},e.type=\"series.pie\",e.defaultOption={zlevel:0,z:2,legendHoverLink:!0,colorBy:\"data\",center:[\"50%\",\"50%\"],radius:[0,\"75%\"],clockwise:!0,startAngle:90,minAngle:0,minShowLabelAngle:0,selectedOffset:10,percentPrecision:2,stillShowZeroSum:!0,left:0,top:0,right:0,bottom:0,width:null,height:null,label:{rotate:0,show:!0,overflow:\"truncate\",position:\"outer\",alignTo:\"none\",edgeDistance:\"25%\",bleedMargin:10,distanceToLabelLine:5},labelLine:{show:!0,length:15,length2:15,smooth:!1,minTurnAngle:90,maxSurfaceAngle:90,lineStyle:{width:1,type:\"solid\"}},itemStyle:{borderWidth:1,borderJoin:\"round\"},showEmptyCircle:!0,emptyCircleStyle:{color:\"lightgray\",opacity:1},labelLayout:{hideOverlap:!0},emphasis:{scale:!0,scaleSize:5},avoidLabelOverlap:!0,animationType:\"expansion\",animationDuration:1e3,animationTypeUpdate:\"transition\",animationEasingUpdate:\"cubicInOut\",animationDurationUpdate:500,animationEasing:\"cubicInOut\"},e;}(sd),H_=function(t){function e(){return null!==t&&t.apply(this,arguments)||this;}return n(e,t),e.type=\"grid\",e.dependencies=[\"xAxis\",\"yAxis\"],e.layoutMode=\"box\",e.defaultOption={show:!1,zlevel:0,z:0,left:\"10%\",top:60,right:\"10%\",bottom:70,containLabel:!1,backgroundColor:\"rgba(0,0,0,0)\",borderWidth:1,borderColor:\"#ccc\"},e;}(Wu),V_=function(t){function e(){return null!==t&&t.apply(this,arguments)||this;}return n(e,t),e.prototype.getCoordSysModel=function(){return this.getReferringComponents(\"grid\",_i).models[0];},e.type=\"cartesian2dAxis\",e;}(Wu);N(V_,Ov);var Y_={show:!0,zlevel:0,z:0,inverse:!1,name:\"\",nameLocation:\"end\",nameRotate:null,nameTruncate:{maxWidth:null,ellipsis:\"...\",placeholder:\".\"},nameTextStyle:{},nameGap:15,silent:!1,triggerEvent:!1,tooltip:{show:!1},axisPointer:{},axisLine:{show:!0,onZero:!0,onZeroAxisIndex:null,lineStyle:{color:\"#6E7079\",width:1,type:\"solid\"},symbol:[\"none\",\"none\"],symbolSize:[10,15]},axisTick:{show:!0,inside:!1,length:5,lineStyle:{width:1}},axisLabel:{show:!0,inside:!1,rotate:0,showMinLabel:null,showMaxLabel:null,margin:8,fontSize:12},splitLine:{show:!0,lineStyle:{color:[\"#E0E6F1\"],width:1,type:\"solid\"}},splitArea:{show:!1,areaStyle:{color:[\"rgba(250,250,250,0.2)\",\"rgba(210,219,238,0.2)\"]}}},$_=S({boundaryGap:!0,deduplication:null,splitLine:{show:!1},axisTick:{alignWithLabel:!1,interval:\"auto\"},axisLabel:{interval:\"auto\"}},Y_),G_=S({boundaryGap:[0,0],axisLine:{show:\"auto\"},axisTick:{show:\"auto\"},splitNumber:5,minorTick:{show:!1,splitNumber:5,length:3,lineStyle:{}},minorSplitLine:{show:!1,lineStyle:{color:\"#F4F7FD\",width:1}}},Y_),W_={category:$_,value:G_,time:S({scale:!0,splitNumber:6,axisLabel:{showMinLabel:!1,showMaxLabel:!1,rich:{primary:{fontWeight:\"bold\"}}},splitLine:{show:!1}},G_),log:M({scale:!0,logBase:10},G_)},X_={value:1,category:1,time:1,log:1};function Z_(t,e,r,i){O(X_,function(a,o){var s=S(S({},W_[o],!0),i,!0),l=function(t){function r(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e+\"Axis.\"+o,n;}return n(r,t),r.prototype.mergeDefaultAndTheme=function(t,e){var n=Vu(this),r=n?$u(t):{};S(t,e.getTheme().get(o+\"Axis\")),S(t,this.getDefaultOption()),t.type=K_(t),n&&Yu(t,r,n);},r.prototype.optionUpdated=function(){\"category\"===this.option.type&&(this.__ordinalMeta=Ly.createByAxisModel(this));},r.prototype.getCategories=function(t){var e=this.option;if(\"category\"===e.type)return t?e.data:this.__ordinalMeta.categories;},r.prototype.getOrdinalMeta=function(){return this.__ordinalMeta;},r.type=e+\"Axis.\"+o,r.defaultOption=s,r;}(r);t.registerComponentModel(l);}),t.registerSubTypeDefaulter(e+\"Axis\",K_);}function K_(t){return t.type||(t.data?\"category\":\"value\");}var Q_=function(){function t(t){this.type=\"cartesian\",this._dimList=[],this._axes={},this.name=t||\"\";}return t.prototype.getAxis=function(t){return this._axes[t];},t.prototype.getAxes=function(){return I(this._dimList,function(t){return this._axes[t];},this);},t.prototype.getAxesByScale=function(t){return t=t.toLowerCase(),B(this.getAxes(),function(e){return e.scale.type===t;});},t.prototype.addAxis=function(t){var e=t.dim;this._axes[e]=t,this._dimList.push(e);},t;}(),J_=[\"x\",\"y\"];function tx(t){return\"interval\"===t.type||\"time\"===t.type;}var ex=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.type=\"cartesian2d\",e.dimensions=J_,e;}return n(e,t),e.prototype.calcAffineTransform=function(){this._transform=this._invTransform=null;var t=this.getAxis(\"x\").scale,e=this.getAxis(\"y\").scale;if(tx(t)&&tx(e)){var n=t.getExtent(),r=e.getExtent(),i=this.dataToPoint([n[0],r[0]]),a=this.dataToPoint([n[1],r[1]]),o=n[1]-n[0],s=r[1]-r[0];if(o&&s){var l=(a[0]-i[0])/o,c=(a[1]-i[1])/s,u=i[0]-n[0]*l,h=i[1]-r[0]*c,f=this._transform=[l,0,0,c,u,h];this._invTransform=zn([],f);}}},e.prototype.getBaseAxis=function(){return this.getAxesByScale(\"ordinal\")[0]||this.getAxesByScale(\"time\")[0]||this.getAxis(\"x\");},e.prototype.containPoint=function(t){var e=this.getAxis(\"x\"),n=this.getAxis(\"y\");return e.contain(e.toLocalCoord(t[0]))&&n.contain(n.toLocalCoord(t[1]));},e.prototype.containData=function(t){return this.getAxis(\"x\").containData(t[0])&&this.getAxis(\"y\").containData(t[1]);},e.prototype.dataToPoint=function(t,e,n){n=n||[];var r=t[0],i=t[1];if(this._transform&&null!=r&&isFinite(r)&&null!=i&&isFinite(i))return Nt(n,t,this._transform);var a=this.getAxis(\"x\"),o=this.getAxis(\"y\");return n[0]=a.toGlobalCoord(a.dataToCoord(r,e)),n[1]=o.toGlobalCoord(o.dataToCoord(i,e)),n;},e.prototype.clampData=function(t,e){var n=this.getAxis(\"x\").scale,r=this.getAxis(\"y\").scale,i=n.getExtent(),a=r.getExtent(),o=n.parse(t[0]),s=r.parse(t[1]);return(e=e||[])[0]=Math.min(Math.max(Math.min(i[0],i[1]),o),Math.max(i[0],i[1])),e[1]=Math.min(Math.max(Math.min(a[0],a[1]),s),Math.max(a[0],a[1])),e;},e.prototype.pointToData=function(t,e){var n=[];if(this._invTransform)return Nt(n,t,this._invTransform);var r=this.getAxis(\"x\"),i=this.getAxis(\"y\");return n[0]=r.coordToData(r.toLocalCoord(t[0]),e),n[1]=i.coordToData(i.toLocalCoord(t[1]),e),n;},e.prototype.getOtherAxis=function(t){return this.getAxis(\"x\"===t.dim?\"y\":\"x\");},e.prototype.getArea=function(){var t=this.getAxis(\"x\").getGlobalExtent(),e=this.getAxis(\"y\").getGlobalExtent(),n=Math.min(t[0],t[1]),r=Math.min(e[0],e[1]),i=Math.max(t[0],t[1])-n,a=Math.max(e[0],e[1])-r;return new ar(n,r,i,a);},e;}(Q_),nx=function(t){function e(e,n,r,i,a){var o=t.call(this,e,n,r)||this;return o.index=0,o.type=i||\"value\",o.position=a||\"bottom\",o;}return n(e,t),e.prototype.isHorizontal=function(){var t=this.position;return\"top\"===t||\"bottom\"===t;},e.prototype.getGlobalExtent=function(t){var e=this.getExtent();return e[0]=this.toGlobalCoord(e[0]),e[1]=this.toGlobalCoord(e[1]),t&&e[0]>e[1]&&e.reverse(),e;},e.prototype.pointToData=function(t,e){return this.coordToData(this.toLocalCoord(t[\"x\"===this.dim?0:1]),e);},e.prototype.setCategorySortInfo=function(t){if(\"category\"!==this.type)return!1;this.model.option.categorySortInfo=t,this.scale.setSortInfo(t);},e;}(Zv);function rx(t){return\"cartesian2d\"===t.get(\"coordinateSystem\");}function ix(t){var e={xAxisModel:null,yAxisModel:null};return O(e,function(n,r){var i=r.replace(/Model$/,\"\"),a=t.getReferringComponents(i,_i).models[0];e[r]=a;}),e;}var ax=function(){function t(t,e,n){this.type=\"grid\",this._coordsMap={},this._coordsList=[],this._axesMap={},this._axesList=[],this.axisPointerEnabled=!0,this.dimensions=J_,this._initCartesian(t,e,n),this.model=t;}return t.prototype.getRect=function(){return this._rect;},t.prototype.update=function(t,e){var n=this._axesMap;this._updateScale(t,this.model),O(n.x,function(t){Mv(t.scale,t.model);}),O(n.y,function(t){Mv(t.scale,t.model);});var r={};O(n.x,function(t){sx(n,\"y\",t,r);}),O(n.y,function(t){sx(n,\"x\",t,r);}),this.resize(this.model,e);},t.prototype.resize=function(t,e,n){var r=t.getBoxLayoutParams(),i=!n&&t.get(\"containLabel\"),a=Hu(r,{width:e.getWidth(),height:e.getHeight()});this._rect=a;var o=this._axesList;function s(){O(o,function(t){var e=t.isHorizontal(),n=e?[0,a.width]:[0,a.height],r=t.inverse?1:0;t.setExtent(n[r],n[1-r]),function(t,e){var n=t.getExtent(),r=n[0]+n[1];t.toGlobalCoord=\"x\"===t.dim?function(t){return t+e;}:function(t){return r-t+e;},t.toLocalCoord=\"x\"===t.dim?function(t){return t-e;}:function(t){return r-t+e;};}(t,e?a.x:a.y);});}s(),i&&(O(o,function(t){if(!t.model.get([\"axisLabel\",\"inside\"])){var e=function(t){var e=t.model,n=t.scale;if(e.get([\"axisLabel\",\"show\"])&&!n.isBlank()){var r,i,a=n.getExtent();i=n instanceof Hy?n.count():(r=n.getTicks()).length;var o,s=t.getLabelModel(),l=Av(t),c=1;i>40&&(c=Math.ceil(i/40));for(var u=0;u<i;u+=c){var h=l(r?r[u]:{value:a[0]+u},u),f=Ev(s.getTextRect(h),s.get(\"rotate\")||0);o?o.union(f):o=f;}return o;}}(t);if(e){var n=t.isHorizontal()?\"height\":\"width\",r=t.model.get([\"axisLabel\",\"margin\"]);a[n]-=e[n]+r,\"top\"===t.position?a.y+=e.height+r:\"left\"===t.position&&(a.x+=e.width+r);}}}),s()),O(this._coordsList,function(t){t.calcAffineTransform();});},t.prototype.getAxis=function(t,e){var n=this._axesMap[t];if(null!=n)return n[e||0];},t.prototype.getAxes=function(){return this._axesList.slice();},t.prototype.getCartesian=function(t,e){if(null!=t&&null!=e){var n=\"x\"+t+\"y\"+e;return this._coordsMap[n];}V(t)&&(e=t.yAxisIndex,t=t.xAxisIndex);for(var r=0,i=this._coordsList;r<i.length;r++)if(i[r].getAxis(\"x\").index===t||i[r].getAxis(\"y\").index===e)return i[r];},t.prototype.getCartesians=function(){return this._coordsList.slice();},t.prototype.convertToPixel=function(t,e,n){var r=this._findConvertTarget(e);return r.cartesian?r.cartesian.dataToPoint(n):r.axis?r.axis.toGlobalCoord(r.axis.dataToCoord(n)):null;},t.prototype.convertFromPixel=function(t,e,n){var r=this._findConvertTarget(e);return r.cartesian?r.cartesian.pointToData(n):r.axis?r.axis.coordToData(r.axis.toLocalCoord(n)):null;},t.prototype._findConvertTarget=function(t){var e,n,r=t.seriesModel,i=t.xAxisModel||r&&r.getReferringComponents(\"xAxis\",_i).models[0],a=t.yAxisModel||r&&r.getReferringComponents(\"yAxis\",_i).models[0],o=t.gridModel,s=this._coordsList;return r?A(s,e=r.coordinateSystem)<0&&(e=null):i&&a?e=this.getCartesian(i.componentIndex,a.componentIndex):i?n=this.getAxis(\"x\",i.componentIndex):a?n=this.getAxis(\"y\",a.componentIndex):o&&o.coordinateSystem===this&&(e=this._coordsList[0]),{cartesian:e,axis:n};},t.prototype.containPoint=function(t){var e=this._coordsList[0];if(e)return e.containPoint(t);},t.prototype._initCartesian=function(t,e,n){var r=this,i=this,a={left:!1,right:!1,top:!1,bottom:!1},o={x:{},y:{}},s={x:0,y:0};if(e.eachComponent(\"xAxis\",l(\"x\"),this),e.eachComponent(\"yAxis\",l(\"y\"),this),!s.x||!s.y)return this._axesMap={},void(this._axesList=[]);function l(e){return function(n,r){if(ox(n,t)){var l=n.get(\"position\");\"x\"===e?\"top\"!==l&&\"bottom\"!==l&&(l=a.bottom?\"top\":\"bottom\"):\"left\"!==l&&\"right\"!==l&&(l=a.left?\"right\":\"left\"),a[l]=!0;var c=new nx(e,Tv(n),[0,0],n.get(\"type\"),l),u=\"category\"===c.type;c.onBand=u&&n.get(\"boundaryGap\"),c.inverse=n.get(\"inverse\"),n.axis=c,c.model=n,c.grid=i,c.index=r,i._axesList.push(c),o[e][r]=c,s[e]++;}};}this._axesMap=o,O(o.x,function(e,n){O(o.y,function(i,a){var o=\"x\"+n+\"y\"+a,s=new ex(o);s.master=r,s.model=t,r._coordsMap[o]=s,r._coordsList.push(s),s.addAxis(e),s.addAxis(i);});});},t.prototype._updateScale=function(t,e){function n(t,e){O(function(t,e){var n={};return O(t.mapDimensionsAll(e),function(e){n[Ny(t,e)]=!0;}),R(n);}(t,e.dim),function(n){e.scale.unionExtentFromData(t,n);});}O(this._axesList,function(t){if(t.scale.setExtent(1/0,-1/0),\"category\"===t.type){var e=t.model.get(\"categorySortInfo\");t.scale.setSortInfo(e);}}),t.eachSeries(function(t){if(rx(t)){var r=ix(t),i=r.xAxisModel,a=r.yAxisModel;if(!ox(i,e)||!ox(a,e))return;var o=this.getCartesian(i.componentIndex,a.componentIndex),s=t.getData(),l=o.getAxis(\"x\"),c=o.getAxis(\"y\");\"list\"===s.type&&(n(s,l),n(s,c));}},this);},t.prototype.getTooltipAxes=function(t){var e=[],n=[];return O(this.getCartesians(),function(r){var i=null!=t&&\"auto\"!==t?r.getAxis(t):r.getBaseAxis(),a=r.getOtherAxis(i);A(e,i)<0&&e.push(i),A(n,a)<0&&n.push(a);}),{baseAxes:e,otherAxes:n};},t.create=function(e,n){var r=[];return e.eachComponent(\"grid\",function(i,a){var o=new t(i,e,n);o.name=\"grid_\"+a,o.resize(i,n,!0),i.coordinateSystem=o,r.push(o);}),e.eachSeries(function(t){if(rx(t)){var e=ix(t),n=e.xAxisModel,r=e.yAxisModel,i=n.getCoordSysModel(),a=i.coordinateSystem;t.coordinateSystem=a.getCartesian(n.componentIndex,r.componentIndex);}}),r;},t.dimensions=J_,t;}();function ox(t,e){return t.getCoordSysModel()===e;}function sx(t,e,n,r){n.getAxesOnZeroOf=function(){return i?[i]:[];};var i,a=t[e],o=n.model,s=o.get([\"axisLine\",\"onZero\"]),l=o.get([\"axisLine\",\"onZeroAxisIndex\"]);if(s){if(null!=l)lx(a[l])&&(i=a[l]);else for(var c in a)if(a.hasOwnProperty(c)&&lx(a[c])&&!r[u(a[c])]){i=a[c];break;}i&&(r[u(i)]=!0);}function u(t){return t.dim+\"_\"+t.index;}}function lx(t){return t&&\"category\"!==t.type&&\"time\"!==t.type&&function(t){var e=t.scale.getExtent(),n=e[0],r=e[1];return!(n>0&&r>0||n<0&&r<0);}(t);}var cx=Math.PI,ux=function(){function t(t,e){this.group=new Tr(),this.opt=e,this.axisModel=t,M(e,{labelOffset:0,nameDirection:1,tickDirection:1,labelDirection:1,silent:!0,handleAutoShown:function(){return!0;}});var n=new Tr({x:e.position[0],y:e.position[1],rotation:e.rotation});n.updateTransform(),this._transformGroup=n;}return t.prototype.hasBuilder=function(t){return!!hx[t];},t.prototype.add=function(t){hx[t](this.opt,this.axisModel,this.group,this._transformGroup);},t.prototype.getGroup=function(){return this.group;},t.innerTextLayout=function(t,e,n){var r,i,a=Vr(e-t);return Yr(a)?(i=n>0?\"top\":\"bottom\",r=\"center\"):Yr(a-cx)?(i=n>0?\"bottom\":\"top\",r=\"center\"):(i=\"middle\",r=a>0&&a<cx?n>0?\"right\":\"left\":n>0?\"left\":\"right\"),{rotation:a,textAlign:r,textVerticalAlign:i};},t.makeAxisEventDataBase=function(t){var e={componentType:t.mainType,componentIndex:t.componentIndex};return e[t.mainType+\"Index\"]=t.componentIndex,e;},t.isLabelSilent=function(t){var e=t.get(\"tooltip\");return t.get(\"silent\")||!(t.get(\"triggerEvent\")||e&&e.show);},t;}(),hx={axisLine:function(t,e,n,r){var i=e.get([\"axisLine\",\"show\"]);if(\"auto\"===i&&t.handleAutoShown&&(i=t.handleAutoShown(\"axisLine\")),i){var a=e.axis.getExtent(),o=r.transform,s=[a[0],0],l=[a[1],0];o&&(Nt(s,s,o),Nt(l,l,o));var c=C({lineCap:\"round\"},e.getModel([\"axisLine\",\"lineStyle\"]).getLineStyle()),u=new Pl({subPixelOptimize:!0,shape:{x1:s[0],y1:s[1],x2:l[0],y2:l[1]},style:c,strokeContainThreshold:t.strokeContainThreshold||5,silent:!0,z2:1});u.anid=\"line\",n.add(u);var h=e.get([\"axisLine\",\"symbol\"]);if(null!=h){var f=e.get([\"axisLine\",\"symbolSize\"]);\"string\"==typeof h&&(h=[h,h]),\"string\"!=typeof f&&\"number\"!=typeof f||(f=[f,f]);var d=_p(e.get([\"axisLine\",\"symbolOffset\"])||0,f),p=f[0],m=f[1];O([{rotate:t.rotation+Math.PI/2,offset:d[0],r:0},{rotate:t.rotation-Math.PI/2,offset:d[1],r:Math.sqrt((s[0]-l[0])*(s[0]-l[0])+(s[1]-l[1])*(s[1]-l[1]))}],function(e,r){if(\"none\"!==h[r]&&null!=h[r]){var i=bp(h[r],-p/2,-m/2,p,m,c.stroke,!0),a=e.r+e.offset;i.attr({rotation:e.rotate,x:s[0]+a*Math.cos(t.rotation),y:s[1]-a*Math.sin(t.rotation),silent:!0,z2:11}),n.add(i);}});}}},axisTickLabel:function(t,e,n,r){var i=function(t,e,n,r){var i=n.axis,a=n.getModel(\"axisTick\"),o=a.get(\"show\");if(\"auto\"===o&&r.handleAutoShown&&(o=r.handleAutoShown(\"axisTick\")),o&&!i.scale.isBlank()){for(var s=a.getModel(\"lineStyle\"),l=r.tickDirection*a.get(\"length\"),c=mx(i.getTicksCoords(),e.transform,l,M(s.getLineStyle(),{stroke:n.get([\"axisLine\",\"lineStyle\",\"color\"])}),\"ticks\"),u=0;u<c.length;u++)t.add(c[u]);return c;}}(n,r,e,t),a=function(t,e,n,r){var i=n.axis;if(Q(r.axisLabelShow,n.get([\"axisLabel\",\"show\"]))&&!i.scale.isBlank()){var a=n.getModel(\"axisLabel\"),o=a.get(\"margin\"),s=i.getViewLabels(),l=(Q(r.labelRotate,a.get(\"rotate\"))||0)*cx/180,c=ux.innerTextLayout(r.rotation,l,r.labelDirection),u=n.getCategories&&n.getCategories(!0),h=[],f=ux.isLabelSilent(n),d=n.get(\"triggerEvent\");return O(s,function(s,l){var p=\"ordinal\"===i.scale.type?i.scale.getRawOrdinalNumber(s.tickValue):s.tickValue,m=s.formattedLabel,g=s.rawLabel,y=a;if(u&&u[p]){var v=u[p];V(v)&&v.textStyle&&(y=new Vc(v.textStyle,a,n.ecModel));}var b=y.getTextColor()||n.get([\"axisLine\",\"lineStyle\",\"color\"]),_=i.dataToCoord(p),x=new Ho({x:_,y:r.labelOffset+r.labelDirection*o,rotation:c.rotation,silent:f,z2:10+(s.level||0),style:Mc(y,{text:m,align:y.getShallow(\"align\",!0)||c.textAlign,verticalAlign:y.getShallow(\"verticalAlign\",!0)||y.getShallow(\"baseline\",!0)||c.textVerticalAlign,fill:\"function\"==typeof b?b(\"category\"===i.type?g:\"value\"===i.type?p+\"\":p,l):b})});if(x.anid=\"label_\"+p,d){var w=ux.makeAxisEventDataBase(n);w.targetType=\"axisLabel\",w.value=g,Qo(x).eventData=w;}e.add(x),x.updateTransform(),h.push(x),t.add(x),x.decomposeTransform();}),h;}}(n,r,e,t);(function(t,e,n){if(!Dv(t.axis)){var r=t.get([\"axisLabel\",\"showMinLabel\"]),i=t.get([\"axisLabel\",\"showMaxLabel\"]);n=n||[];var a=(e=e||[])[0],o=e[1],s=e[e.length-1],l=e[e.length-2],c=n[0],u=n[1],h=n[n.length-1],f=n[n.length-2];!1===r?(fx(a),fx(c)):dx(a,o)&&(r?(fx(o),fx(u)):(fx(a),fx(c))),!1===i?(fx(s),fx(h)):dx(l,s)&&(i?(fx(l),fx(f)):(fx(s),fx(h)));}})(e,a,i),function(t,e,n,r){var i=n.axis,a=n.getModel(\"minorTick\");if(a.get(\"show\")&&!i.scale.isBlank()){var o=i.getMinorTicksCoords();if(o.length)for(var s=a.getModel(\"lineStyle\"),l=r*a.get(\"length\"),c=M(s.getLineStyle(),M(n.getModel(\"axisTick\").getLineStyle(),{stroke:n.get([\"axisLine\",\"lineStyle\",\"color\"])})),u=0;u<o.length;u++)for(var h=mx(o[u],e.transform,l,c,\"minorticks_\"+u),f=0;f<h.length;f++)t.add(h[f]);}}(n,r,e,t.tickDirection),e.get([\"axisLabel\",\"hideOverlap\"])&&function(t){var e=[];t.sort(function(t,e){return e.priority-t.priority;});var n=new ar(0,0,0,0);function r(t){if(!t.ignore){var e=t.ensureState(\"emphasis\");null==e.ignore&&(e.ignore=!1);}t.ignore=!0;}for(var i=0;i<t.length;i++){var a=t[i],o=a.axisAligned,s=a.localRect,l=a.transform,c=a.label,u=a.labelLine;n.copy(a.rect),n.width-=.1,n.height-=.1,n.x+=.05,n.y+=.05;for(var h=a.obb,f=!1,d=0;d<e.length;d++){var p=e[d];if(n.intersect(p.rect)){if(o&&p.axisAligned){f=!0;break;}if(p.obb||(p.obb=new Jl(p.localRect,p.transform)),h||(h=new Jl(s,l)),h.intersect(p.obb)){f=!0;break;}}}f?(r(c),u&&r(u)):(c.attr(\"ignore\",a.defaultAttr.ignore),u&&u.attr(\"ignore\",a.defaultAttr.labelGuideIgnore),e.push(a));}}(function(t){for(var e=[],n=0;n<t.length;n++){var r=t[n];if(!r.defaultAttr.ignore){var i=r.label,a=i.getComputedTransform(),o=i.getBoundingRect(),s=!a||a[1]<1e-5&&a[2]<1e-5,l=i.style.margin||0,c=o.clone();c.applyTransform(a),c.x-=l/2,c.y-=l/2,c.width+=l,c.height+=l;var u=s?new Jl(o,a):null;e.push({label:i,labelLine:r.labelLine,rect:c,localRect:o,obb:u,priority:r.priority,defaultAttr:r.defaultAttr,layoutOption:r.computedLayoutOption,axisAligned:s,transform:a});}}return e;}(I(a,function(t){return{label:t,priority:t.z2,defaultAttr:{ignore:t.ignore}};})));},axisName:function(t,e,n,r){var i=Q(t.axisName,e.get(\"name\"));if(i){var a,o,s=e.get(\"nameLocation\"),l=t.nameDirection,c=e.getModel(\"nameTextStyle\"),u=e.get(\"nameGap\")||0,h=e.axis.getExtent(),f=h[0]>h[1]?-1:1,d=[\"start\"===s?h[0]-f*u:\"end\"===s?h[1]+f*u:(h[0]+h[1])/2,px(s)?t.labelOffset+l*u:0],p=e.get(\"nameRotate\");null!=p&&(p=p*cx/180),px(s)?a=ux.innerTextLayout(t.rotation,null!=p?p:t.rotation,l):(a=function(t,e,n,r){var i,a,o=Vr(n-t),s=r[0]>r[1],l=\"start\"===e&&!s||\"start\"!==e&&s;return Yr(o-cx/2)?(a=l?\"bottom\":\"top\",i=\"center\"):Yr(o-1.5*cx)?(a=l?\"top\":\"bottom\",i=\"center\"):(a=\"middle\",i=o<1.5*cx&&o>cx/2?l?\"left\":\"right\":l?\"right\":\"left\"),{rotation:o,textAlign:i,textVerticalAlign:a};}(t.rotation,s,p||0,h),null!=(o=t.axisNameAvailableWidth)&&(o=Math.abs(o/Math.sin(a.rotation)),!isFinite(o)&&(o=null)));var m=c.getFont(),g=e.get(\"nameTruncate\",!0)||{},y=g.ellipsis,v=Q(t.nameTruncateMaxWidth,g.maxWidth,o),b=new Ho({x:d[0],y:d[1],rotation:a.rotation,silent:ux.isLabelSilent(e),style:Mc(c,{text:i,font:m,overflow:\"truncate\",width:v,ellipsis:y,fill:c.getTextColor()||e.get([\"axisLine\",\"lineStyle\",\"color\"]),align:c.get(\"align\")||a.textAlign,verticalAlign:c.get(\"verticalAlign\")||a.textVerticalAlign}),z2:1});if(function(t){var e=t.itemTooltipOption,n=t.componentModel,r=t.itemName,i=j(e)?{formatter:e}:e,a=n.mainType,o=n.componentIndex,s={componentType:a,name:r,$vars:[\"name\"]};s[a+\"Index\"]=o;var l=t.formatterParamsExtra;l&&O(R(l),function(t){ft(s,t)||(s[t]=l[t],s.$vars.push(t));});var c=Qo(t.el);c.componentMainType=a,c.componentIndex=o,c.tooltipConfig={name:r,option:M({content:r,formatterParams:s},i)};}({el:b,componentModel:e,itemName:i}),b.__fullText=i,b.anid=\"name\",e.get(\"triggerEvent\")){var _=ux.makeAxisEventDataBase(e);_.targetType=\"axisName\",_.name=i,Qo(b).eventData=_;}r.add(b),b.updateTransform(),n.add(b),b.decomposeTransform();}}};function fx(t){t&&(t.ignore=!0);}function dx(t,e){var n=t&&t.getBoundingRect().clone(),r=e&&e.getBoundingRect().clone();if(n&&r){var i=Dn([]);return Bn(i,i,-t.rotation),n.applyTransform(In([],i,t.getLocalTransform())),r.applyTransform(In([],i,e.getLocalTransform())),n.intersect(r);}}function px(t){return\"middle\"===t||\"center\"===t;}function mx(t,e,n,r,i){for(var a=[],o=[],s=[],l=0;l<t.length;l++){var c=t[l].coord;o[0]=c,o[1]=0,s[0]=c,s[1]=n,e&&(Nt(o,o,e),Nt(s,s,e));var u=new Pl({subPixelOptimize:!0,shape:{x1:o[0],y1:o[1],x2:s[0],y2:s[1]},style:r,z2:2,autoBatch:!0,silent:!0});u.anid=i+\"_\"+t[l].tickValue,a.push(u);}return a;}function gx(t){var e=yx(t);if(e){var n=e.axisPointerModel,r=e.axis.scale,i=n.option,a=n.get(\"status\"),o=n.get(\"value\");null!=o&&(o=r.parse(o));var s=function(t){return!!t.get([\"handle\",\"show\"]);}(n);null==a&&(i.status=s?\"show\":\"hide\");var l=r.getExtent().slice();l[0]>l[1]&&l.reverse(),(null==o||o>l[1])&&(o=l[1]),o<l[0]&&(o=l[0]),i.value=o,s&&(i.status=e.axis.scale.isBlank()?\"hide\":\"show\");}}function yx(t){var e,n=(t.ecModel.getComponent(\"axisPointer\")||{}).coordSysAxesInfo;return n&&n.axesInfo[(e=t,e.type+\"||\"+e.id)];}var vx={},bx=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n;}return n(e,t),e.prototype.render=function(e,n,r,i){this.axisPointerClass&&gx(e),t.prototype.render.apply(this,arguments),this._doUpdateAxisPointerClass(e,r,!0);},e.prototype.updateAxisPointer=function(t,e,n,r){this._doUpdateAxisPointerClass(t,n,!1);},e.prototype.remove=function(t,e){var n=this._axisPointer;n&&n.remove(e);},e.prototype.dispose=function(e,n){this._disposeAxisPointer(n),t.prototype.dispose.apply(this,arguments);},e.prototype._doUpdateAxisPointerClass=function(t,n,r){var i=e.getAxisPointerClass(this.axisPointerClass);if(i){var a=function(t){var e=yx(t);return e&&e.axisPointerModel;}(t);a?(this._axisPointer||(this._axisPointer=new i())).render(t,a,n,r):this._disposeAxisPointer(n);}},e.prototype._disposeAxisPointer=function(t){this._axisPointer&&this._axisPointer.dispose(t),this._axisPointer=null;},e.registerAxisPointerClass=function(t,e){vx[t]=e;},e.getAxisPointerClass=function(t){return t&&vx[t];},e.type=\"axis\",e;}(md),_x=gi(),xx=[\"axisLine\",\"axisTickLabel\",\"axisName\"],kx=[\"splitArea\",\"splitLine\",\"minorSplitLine\"],Sx=function(t){function e(){var n=null!==t&&t.apply(this,arguments)||this;return n.type=e.type,n.axisPointerClass=\"CartesianAxisPointer\",n;}return n(e,t),e.prototype.render=function(e,n,r,i){this.group.removeAll();var a=this._axisGroup;if(this._axisGroup=new Tr(),this.group.add(this._axisGroup),e.get(\"show\")){var o=e.getCoordSysModel(),s=function(t,e,n){n=n||{};var r=t.coordinateSystem,i=e.axis,a={},o=i.getAxesOnZeroOf()[0],s=i.position,l=o?\"onZero\":s,c=i.dim,u=r.getRect(),h=[u.x,u.x+u.width,u.y,u.y+u.height],f={left:0,right:1,top:0,bottom:1,onZero:2},d=e.get(\"offset\")||0,p=\"x\"===c?[h[2]-d,h[3]+d]:[h[0]-d,h[1]+d];if(o){var m=o.toGlobalCoord(o.dataToCoord(0));p[f.onZero]=Math.max(Math.min(m,p[1]),p[0]);}a.position=[\"y\"===c?p[f[l]]:h[0],\"x\"===c?p[f[l]]:h[3]],a.rotation=Math.PI/2*(\"x\"===c?0:1),a.labelDirection=a.tickDirection=a.nameDirection={top:-1,bottom:1,left:-1,right:1}[s],a.labelOffset=o?p[f[s]]-p[f.onZero]:0,e.get([\"axisTick\",\"inside\"])&&(a.tickDirection=-a.tickDirection),Q(n.labelInside,e.get([\"axisLabel\",\"inside\"]))&&(a.labelDirection=-a.labelDirection);var g=e.get([\"axisLabel\",\"rotate\"]);return a.labelRotate=\"top\"===l?-g:g,a.z2=1,a;}(o,e),l=new ux(e,C({handleAutoShown:function(t){for(var n=o.coordinateSystem.getCartesians(),r=0;r<n.length;r++){var i=n[r].getOtherAxis(e.axis).type;if(\"value\"===i||\"log\"===i)return!0;}return!1;}},s));O(xx,l.add,l),this._axisGroup.add(l.getGroup()),O(kx,function(t){e.get([t,\"show\"])&&Cx[t](this,this._axisGroup,e,o);},this),i&&\"changeAxisOrder\"===i.type&&i.isInitSort||function(t,e,n){if(t&&e){var r,i=(r={},t.traverse(function(t){xc(t)&&t.anid&&(r[t.anid]=t);}),r);e.traverse(function(t){if(xc(t)&&t.anid){var e=i[t.anid];if(e){var r=a(t);t.attr(a(e)),ic(t,r,n,Qo(t).dataIndex);}}});}function a(t){var e={x:t.x,y:t.y,rotation:t.rotation};return function(t){return null!=t.shape;}(t)&&(e.shape=C({},t.shape)),e;}}(a,this._axisGroup,e),t.prototype.render.call(this,e,n,r,i);}},e.prototype.remove=function(){_x(this).splitAreaColors=null;},e.type=\"cartesianAxis\",e;}(bx),Cx={splitLine:function(t,e,n,r){var i=n.axis;if(!i.scale.isBlank()){var a=n.getModel(\"splitLine\"),o=a.getModel(\"lineStyle\"),s=o.get(\"color\");s=F(s)?s:[s];for(var 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i=this.fetch();if(-1!==t.endOfExpression.indexOf(i.text))break;if(n&&i.text===n)break;if(e&&vi[i.text]&&vi[i.text].infix)break;var a=this.parseAtom(n);if(!a)break;\"internal\"!==a.type&&r.push(a);}return\"text\"===this.mode&&this.formLigatures(r),this.handleInfixNodes(r);},e.handleInfixNodes=function(t){for(var e,n=-1,r=0;r<t.length;r++)if(\"infix\"===t[r].type){if(-1!==n)throw new o(\"only one infix operator per group\",t[r].token);n=r,e=t[r].replaceWith;}if(-1!==n&&e){var i,a,s,l=t.slice(0,n),c=t.slice(n+1);return i=1===l.length&&\"ordgroup\"===l[0].type?l[0]:{type:\"ordgroup\",mode:this.mode,body:l},a=1===c.length&&\"ordgroup\"===c[0].type?c[0]:{type:\"ordgroup\",mode:this.mode,body:c},s=\"\\\\\\\\abovefrac\"===e?this.callFunction(e,[i,t[n],a],[]):this.callFunction(e,[i,a],[]),[s];}return t;},e.handleSupSubscript=function(e){var n=this.fetch(),r=n.text;this.consume();var i=this.parseGroup(e,!1,t.SUPSUB_GREEDINESS,void 0,void 0,!0);if(!i)throw new o(\"Expected group after 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this.callFunction(i,l,c,r,t);},e.callFunction=function(t,e,n,r,i){var a={funcName:t,parser:this,token:r,breakOnTokenText:i},s=vi[t];if(s&&s.handler)return s.handler(a,e,n);throw new o(\"No function handler for \"+t);},e.parseArguments=function(t,e){var n=e.numArgs+e.numOptionalArgs;if(0===n)return{args:[],optArgs:[]};for(var r=e.greediness,i=[],a=[],s=0;s<n;s++){var l=e.argTypes&&e.argTypes[s],c=s<e.numOptionalArgs,u=s>0&&!c||0===s&&!c&&\"math\"===this.mode,h=this.parseGroupOfType(\"argument to '\"+t+\"'\",l,c,r,u);if(!h){if(c){a.push(null);continue;}throw new o(\"Expected group after '\"+t+\"'\",this.fetch());}(c?a:i).push(h);}return{args:i,optArgs:a};},e.parseGroupOfType=function(t,e,n,r,i){switch(e){case\"color\":return i&&this.consumeSpaces(),this.parseColorGroup(n);case\"size\":return i&&this.consumeSpaces(),this.parseSizeGroup(n);case\"url\":return this.parseUrlGroup(n,i);case\"math\":case\"text\":return this.parseGroup(t,n,r,void 0,e,i);case\"hbox\":var 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if(u=this.parseFunction(a,e,i)||this.parseSymbol(),null==u&&\"\\\\\"===f[0]&&!zi.hasOwnProperty(f)){if(this.settings.throwOnError)throw new o(\"Undefined control sequence: \"+f,h);u=this.formatUnsupportedCmd(f),this.consume();}return s&&this.switchMode(c),u;},e.formLigatures=function(t){for(var e=t.length-1,n=0;n<e;++n){var i=t[n],a=i.text;\"-\"===a&&\"-\"===t[n+1].text&&(n+1<e&&\"-\"===t[n+2].text?(t.splice(n,3,{type:\"textord\",mode:\"text\",loc:r.range(i,t[n+2]),text:\"---\"}),e-=2):(t.splice(n,2,{type:\"textord\",mode:\"text\",loc:r.range(i,t[n+1]),text:\"--\"}),e-=1)),\"'\"!==a&&\"`\"!==a||t[n+1].text!==a||(t.splice(n,2,{type:\"textord\",mode:\"text\",loc:r.range(i,t[n+1]),text:a+a}),e-=1);}},e.parseSymbol=function(){var t=this.fetch(),e=t.text;if(/^\\\\verb[^a-zA-Z]/.test(e)){this.consume();var n=e.slice(5),i=\"*\"===n.charAt(0);if(i&&(n=n.slice(1)),n.length<2||n.charAt(0)!==n.slice(-1))throw new o(\"\\\\verb assertion failed --\\n                    please report what input 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51:return 51;case 52:case 53:return 53;case 54:return 52;case 55:return 50;case 56:return 54;case 57:return 55;case 58:return 31;case 59:return 38;case 60:return 75;case 61:return\"DOT\";case 62:return\"PLUS\";case 63:return 72;case 64:case 65:return\"EQUALS\";case 66:return 79;case 67:return\"PUNCTUATION\";case 68:return 78;case 69:return 77;case 70:return 74;case 71:return 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P(){this.yy={};}return R.lexer=z,P.prototype=R,R.Parser=P,new P();}();n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments);},n.main=function(e){e[1]||(console.log(\"Usage: \"+e[0]+\" FILE\"),t.exit(1));var i=r(8218).readFileSync(r(6470).normalize(e[1]),\"utf8\");return n.parser.parse(i);},r.c[r.s]===e&&n.main(t.argv.slice(1));},5890:(e,n,r)=>{e=r.nmd(e);var i=function(){var t=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return n;},e=[1,2],n=[1,5],r=[6,9,11,23,40],i=[1,17],a=[1,20],o=[1,25],s=[1,26],l=[1,27],c=[1,28],u=[1,37],h=[23,37,38],f=[4,6,9,11,23,40],d=[33,34,35,36],p=[22,29],m={trace:function(){},yy:{},symbols_:{error:2,start:3,ER_DIAGRAM:4,document:5,EOF:6,directive:7,line:8,SPACE:9,statement:10,NEWLINE:11,openDirective:12,typeDirective:13,closeDirective:14,\":\":15,argDirective:16,entityName:17,relSpec:18,role:19,BLOCK_START:20,attributes:21,BLOCK_STOP:22,ALPHANUM:23,attribute:24,attributeType:25,attributeName:26,attributeKeyType:27,COMMENT:28,ATTRIBUTE_WORD:29,ATTRIBUTE_KEY:30,cardinality:31,relType:32,ZERO_OR_ONE:33,ZERO_OR_MORE:34,ONE_OR_MORE:35,ONLY_ONE:36,NON_IDENTIFYING:37,IDENTIFYING:38,WORD:39,open_directive:40,type_directive:41,arg_directive:42,close_directive:43,$accept:0,$end:1},terminals_:{2:\"error\",4:\"ER_DIAGRAM\",6:\"EOF\",9:\"SPACE\",11:\"NEWLINE\",15:\":\",20:\"BLOCK_START\",22:\"BLOCK_STOP\",23:\"ALPHANUM\",28:\"COMMENT\",29:\"ATTRIBUTE_WORD\",30:\"ATTRIBUTE_KEY\",33:\"ZERO_OR_ONE\",34:\"ZERO_OR_MORE\",35:\"ONE_OR_MORE\",36:\"ONLY_ONE\",37:\"NON_IDENTIFYING\",38:\"IDENTIFYING\",39:\"WORD\",40:\"open_directive\",41:\"type_directive\",42:\"arg_directive\",43:\"close_directive\"},productions_:[0,[3,3],[3,2],[5,0],[5,2],[8,2],[8,1],[8,1],[8,1],[7,4],[7,6],[10,1],[10,5],[10,4],[10,3],[10,1],[17,1],[21,1],[21,2],[24,2],[24,3],[24,3],[24,4],[25,1],[26,1],[27,1],[18,3],[31,1],[31,1],[31,1],[31,1],[32,1],[32,1],[19,1],[19,1],[12,1],[13,1],[16,1],[14,1]],performAction:function(t,e,n,r,i,a,o){var s=a.length-1;switch(i){case 1:break;case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:case 16:case 23:case 24:case 25:case 34:this.$=a[s];break;case 12:r.addEntity(a[s-4]),r.addEntity(a[s-2]),r.addRelationship(a[s-4],a[s],a[s-2],a[s-3]);break;case 13:r.addEntity(a[s-3]),r.addAttributes(a[s-3],a[s-1]);break;case 14:r.addEntity(a[s-2]);break;case 15:r.addEntity(a[s]);break;case 17:this.$=[a[s]];break;case 18:a[s].push(a[s-1]),this.$=a[s];break;case 19:this.$={attributeType:a[s-1],attributeName:a[s]};break;case 20:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeKeyType:a[s]};break;case 21:this.$={attributeType:a[s-2],attributeName:a[s-1],attributeComment:a[s]};break;case 22:this.$={attributeType:a[s-3],attributeName:a[s-2],attributeKeyType:a[s-1],attributeComment:a[s]};break;case 26:this.$={cardA:a[s],relType:a[s-1],cardB:a[s-2]};break;case 27:this.$=r.Cardinality.ZERO_OR_ONE;break;case 28:this.$=r.Cardinality.ZERO_OR_MORE;break;case 29:this.$=r.Cardinality.ONE_OR_MORE;break;case 30:this.$=r.Cardinality.ONLY_ONE;break;case 31:this.$=r.Identification.NON_IDENTIFYING;break;case 32:this.$=r.Identification.IDENTIFYING;break;case 33:this.$=a[s].replace(/\"/g,\"\");break;case 35:r.parseDirective(\"%%{\",\"open_directive\");break;case 36:r.parseDirective(a[s],\"type_directive\");break;case 37:a[s]=a[s].trim().replace(/'/g,'\"'),r.parseDirective(a[s],\"arg_directive\");break;case 38:r.parseDirective(\"}%%\",\"close_directive\",\"er\");}},table:[{3:1,4:e,7:3,12:4,40:n},{1:[3]},t(r,[2,3],{5:6}),{3:7,4:e,7:3,12:4,40:n},{13:8,41:[1,9]},{41:[2,35]},{6:[1,10],7:15,8:11,9:[1,12],10:13,11:[1,14],12:4,17:16,23:i,40:n},{1:[2,2]},{14:18,15:[1,19],43:a},t([15,43],[2,36]),t(r,[2,8],{1:[2,1]}),t(r,[2,4]),{7:15,10:21,12:4,17:16,23:i,40:n},t(r,[2,6]),t(r,[2,7]),t(r,[2,11]),t(r,[2,15],{18:22,31:24,20:[1,23],33:o,34:s,35:l,36:c}),t([6,9,11,15,20,23,33,34,35,36,40],[2,16]),{11:[1,29]},{16:30,42:[1,31]},{11:[2,38]},t(r,[2,5]),{17:32,23:i},{21:33,22:[1,34],24:35,25:36,29:u},{32:38,37:[1,39],38:[1,40]},t(h,[2,27]),t(h,[2,28]),t(h,[2,29]),t(h,[2,30]),t(f,[2,9]),{14:41,43:a},{43:[2,37]},{15:[1,42]},{22:[1,43]},t(r,[2,14]),{21:44,22:[2,17],24:35,25:36,29:u},{26:45,29:[1,46]},{29:[2,23]},{31:47,33:o,34:s,35:l,36:c},t(d,[2,31]),t(d,[2,32]),{11:[1,48]},{19:49,23:[1,51],39:[1,50]},t(r,[2,13]),{22:[2,18]},t(p,[2,19],{27:52,28:[1,53],30:[1,54]}),t([22,28,29,30],[2,24]),{23:[2,26]},t(f,[2,10]),t(r,[2,12]),t(r,[2,33]),t(r,[2,34]),t(p,[2,20],{28:[1,55]}),t(p,[2,21]),t([22,28,29],[2,25]),t(p,[2,22])],defaultActions:{5:[2,35],7:[2,2],20:[2,38],31:[2,37],37:[2,23],44:[2,18],47:[2,26]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n;}this.trace(t);},parse:function(t){var e=this,n=[0],r=[],i=[null],a=[],o=this.table,s=\"\",l=0,c=0,u=0,h=2,f=1,d=a.slice.call(arguments,1),p=Object.create(this.lexer),m={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(m.yy[g]=this.yy[g]);p.setInput(t,m.yy),m.yy.lexer=p,m.yy.parser=this,void 0===p.yylloc&&(p.yylloc={});var y=p.yylloc;a.push(y);var v=p.options&&p.options.ranges;function b(){var t;return\"number\"!=typeof(t=r.pop()||p.lex()||f)&&(t instanceof Array&&(t=(r=t).pop()),t=e.symbols_[t]||t),t;}\"function\"==typeof m.yy.parseError?this.parseError=m.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var _,x,w,k,S,C,M,T,A,E={};;){if(w=n[n.length-1],this.defaultActions[w]?k=this.defaultActions[w]:(null==_&&(_=b()),k=o[w]&&o[w][_]),void 0===k||!k.length||!k[0]){var N=\"\";for(C in A=[],o[w])this.terminals_[C]&&C>h&&A.push(\"'\"+this.terminals_[C]+\"'\");N=p.showPosition?\"Parse error on line \"+(l+1)+\":\\n\"+p.showPosition()+\"\\nExpecting \"+A.join(\", \")+\", got '\"+(this.terminals_[_]||_)+\"'\":\"Parse error on line \"+(l+1)+\": Unexpected \"+(_==f?\"end of input\":\"'\"+(this.terminals_[_]||_)+\"'\"),this.parseError(N,{text:p.match,token:this.terminals_[_]||_,line:p.yylineno,loc:y,expected:A});}if(k[0]instanceof Array&&k.length>1)throw new Error(\"Parse Error: multiple actions possible at state: \"+w+\", token: \"+_);switch(k[0]){case 1:n.push(_),i.push(p.yytext),a.push(p.yylloc),n.push(k[1]),_=null,x?(_=x,x=null):(c=p.yyleng,s=p.yytext,l=p.yylineno,y=p.yylloc,u>0&&u--);break;case 2:if(M=this.productions_[k[1]][1],E.$=i[i.length-M],E._$={first_line:a[a.length-(M||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(M||1)].first_column,last_column:a[a.length-1].last_column},v&&(E._$.range=[a[a.length-(M||1)].range[0],a[a.length-1].range[1]]),void 0!==(S=this.performAction.apply(E,[s,c,l,m.yy,k[1],i,a].concat(d))))return S;M&&(n=n.slice(0,-1*M*2),i=i.slice(0,-1*M),a=a.slice(0,-1*M)),n.push(this.productions_[k[1]][0]),i.push(E.$),a.push(E._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0;}}return!0;}},g={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e);},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match=\"\",this.conditionStack=[\"INITIAL\"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this;},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\\r\\n?|\\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t;},unput:function(t){var e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},less:function(t){this.unput(this.match.slice(t));},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?\"...\":\"\")+t.substr(-20).replace(/\\n/g,\"\");},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?\"...\":\"\")).replace(/\\n/g,\"\");},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join(\"-\");return t+this.upcomingInput()+\"\\n\"+e+\"^\";},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\\r\\n?|\\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\\r?\\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1;}return!1;},next:function(){if(this.done)return this.EOF;var t,e,n,r;this._input||(this.done=!0),this._more||(this.yytext=\"\",this.match=\"\");for(var i=this._currentRules(),a=0;a<i.length;a++)if((n=this._input.match(this.rules[i[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[a])))return t;if(this._backtrack){e=!1;continue;}return!1;}if(!this.options.flex)break;}return e?!1!==(t=this.test_match(e,i[r]))&&t:\"\"===this._input?this.EOF:this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". Unrecognized text.\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},lex:function(){return this.next()||this.lex();},begin:function(t){this.conditionStack.push(t);},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0];},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules;},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:\"INITIAL\";},pushState:function(t){this.begin(t);},stateStackSize:function(){return this.conditionStack.length;},options:{\"case-insensitive\":!0},performAction:function(t,e,n,r){switch(n){case 0:return this.begin(\"open_directive\"),40;case 1:return this.begin(\"type_directive\"),41;case 2:return this.popState(),this.begin(\"arg_directive\"),15;case 3:return this.popState(),this.popState(),43;case 4:return 42;case 5:case 6:case 8:case 13:case 17:break;case 7:return 11;case 9:return 9;case 10:return 39;case 11:return 4;case 12:return this.begin(\"block\"),20;case 14:return 30;case 15:return 29;case 16:return 28;case 18:return this.popState(),22;case 19:case 32:return e.yytext[0];case 20:case 24:return 33;case 21:case 25:return 34;case 22:case 26:return 35;case 23:return 36;case 27:case 29:case 30:return 37;case 28:return 38;case 31:return 23;case 33:return 6;}},rules:[/^(?:%%\\{)/i,/^(?:((?:(?!\\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\\}%%)/i,/^(?:((?:(?!\\}%%).|\\n)*))/i,/^(?:%(?!\\{)[^\\n]*)/i,/^(?:[^\\}]%%[^\\n]*)/i,/^(?:[\\n]+)/i,/^(?:\\s+)/i,/^(?:[\\s]+)/i,/^(?:\"[^\"]*\")/i,/^(?:erDiagram\\b)/i,/^(?:\\{)/i,/^(?:\\s+)/i,/^(?:(?:PK)|(?:FK))/i,/^(?:[A-Za-z][A-Za-z0-9\\-_]*)/i,/^(?:\"[^\"]*\")/i,/^(?:[\\n]+)/i,/^(?:\\})/i,/^(?:.)/i,/^(?:\\|o\\b)/i,/^(?:\\}o\\b)/i,/^(?:\\}\\|)/i,/^(?:\\|\\|)/i,/^(?:o\\|)/i,/^(?:o\\{)/i,/^(?:\\|\\{)/i,/^(?:\\.\\.)/i,/^(?:--)/i,/^(?:\\.-)/i,/^(?:-\\.)/i,/^(?:[A-Za-z][A-Za-z0-9\\-_]*)/i,/^(?:.)/i,/^(?:$)/i],conditions:{open_directive:{rules:[1],inclusive:!1},type_directive:{rules:[2,3],inclusive:!1},arg_directive:{rules:[3,4],inclusive:!1},block:{rules:[13,14,15,16,17,18,19],inclusive:!1},INITIAL:{rules:[0,5,6,7,8,9,10,11,12,20,21,22,23,24,25,26,27,28,29,30,31,32,33],inclusive:!0}}};function y(){this.yy={};}return m.lexer=g,y.prototype=m,m.Parser=y,new y();}();n.parser=i,n.Parser=i.Parser,n.parse=function(){return 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n=new Error(t);throw n.hash=e,n;}this.trace(t);},parse:function(t){var e=this,n=[0],r=[],i=[null],a=[],o=this.table,s=\"\",l=0,c=0,u=0,h=2,f=1,d=a.slice.call(arguments,1),p=Object.create(this.lexer),m={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(m.yy[g]=this.yy[g]);p.setInput(t,m.yy),m.yy.lexer=p,m.yy.parser=this,void 0===p.yylloc&&(p.yylloc={});var y=p.yylloc;a.push(y);var v=p.options&&p.options.ranges;function b(){var t;return\"number\"!=typeof(t=r.pop()||p.lex()||f)&&(t instanceof Array&&(t=(r=t).pop()),t=e.symbols_[t]||t),t;}\"function\"==typeof m.yy.parseError?this.parseError=m.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var _,x,w,k,S,C,M,T,A,E={};;){if(w=n[n.length-1],this.defaultActions[w]?k=this.defaultActions[w]:(null==_&&(_=b()),k=o[w]&&o[w][_]),void 0===k||!k.length||!k[0]){var N=\"\";for(C in A=[],o[w])this.terminals_[C]&&C>h&&A.push(\"'\"+this.terminals_[C]+\"'\");N=p.showPosition?\"Parse error on line \"+(l+1)+\":\\n\"+p.showPosition()+\"\\nExpecting \"+A.join(\", \")+\", got '\"+(this.terminals_[_]||_)+\"'\":\"Parse error on line \"+(l+1)+\": Unexpected \"+(_==f?\"end of input\":\"'\"+(this.terminals_[_]||_)+\"'\"),this.parseError(N,{text:p.match,token:this.terminals_[_]||_,line:p.yylineno,loc:y,expected:A});}if(k[0]instanceof Array&&k.length>1)throw new Error(\"Parse Error: multiple actions possible at state: \"+w+\", token: \"+_);switch(k[0]){case 1:n.push(_),i.push(p.yytext),a.push(p.yylloc),n.push(k[1]),_=null,x?(_=x,x=null):(c=p.yyleng,s=p.yytext,l=p.yylineno,y=p.yylloc,u>0&&u--);break;case 2:if(M=this.productions_[k[1]][1],E.$=i[i.length-M],E._$={first_line:a[a.length-(M||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(M||1)].first_column,last_column:a[a.length-1].last_column},v&&(E._$.range=[a[a.length-(M||1)].range[0],a[a.length-1].range[1]]),void 0!==(S=this.performAction.apply(E,[s,c,l,m.yy,k[1],i,a].concat(d))))return S;M&&(n=n.slice(0,-1*M*2),i=i.slice(0,-1*M),a=a.slice(0,-1*M)),n.push(this.productions_[k[1]][0]),i.push(E.$),a.push(E._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0;}}return!0;}},Jt={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e);},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match=\"\",this.conditionStack=[\"INITIAL\"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this;},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\\r\\n?|\\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t;},unput:function(t){var e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},less:function(t){this.unput(this.match.slice(t));},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?\"...\":\"\")+t.substr(-20).replace(/\\n/g,\"\");},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?\"...\":\"\")).replace(/\\n/g,\"\");},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join(\"-\");return t+this.upcomingInput()+\"\\n\"+e+\"^\";},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\\r\\n?|\\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\\r?\\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1;}return!1;},next:function(){if(this.done)return this.EOF;var t,e,n,r;this._input||(this.done=!0),this._more||(this.yytext=\"\",this.match=\"\");for(var i=this._currentRules(),a=0;a<i.length;a++)if((n=this._input.match(this.rules[i[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[a])))return t;if(this._backtrack){e=!1;continue;}return!1;}if(!this.options.flex)break;}return e?!1!==(t=this.test_match(e,i[r]))&&t:\"\"===this._input?this.EOF:this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". Unrecognized text.\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},lex:function(){return this.next()||this.lex();},begin:function(t){this.conditionStack.push(t);},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0];},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules;},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:\"INITIAL\";},pushState:function(t){this.begin(t);},stateStackSize:function(){return this.conditionStack.length;},options:{},performAction:function(t,e,n,r){switch(n){case 0:return this.begin(\"open_directive\"),12;case 1:return this.begin(\"type_directive\"),13;case 2:return this.popState(),this.begin(\"arg_directive\"),10;case 3:return this.popState(),this.popState(),15;case 4:return 14;case 5:case 6:break;case 7:this.begin(\"string\");break;case 8:case 17:case 20:case 23:case 26:this.popState();break;case 9:return\"STR\";case 10:return 79;case 11:return 88;case 12:return 80;case 13:return 97;case 14:return 81;case 15:return 82;case 16:this.begin(\"href\");break;case 18:return 93;case 19:this.begin(\"callbackname\");break;case 21:this.popState(),this.begin(\"callbackargs\");break;case 22:return 91;case 24:return 92;case 25:this.begin(\"click\");break;case 27:return 83;case 28:case 29:return t.lex.firstGraph()&&this.begin(\"dir\"),24;case 30:return 38;case 31:return 42;case 32:case 33:case 34:case 35:return 94;case 36:return this.popState(),25;case 37:case 38:case 39:case 40:case 41:case 42:case 43:case 44:case 45:case 46:return this.popState(),26;case 47:return 111;case 48:return 112;case 49:return 113;case 50:return 114;case 51:return 98;case 52:return 104;case 53:return 48;case 54:return 60;case 55:return 47;case 56:return 20;case 57:return 99;case 58:return 119;case 59:case 60:case 61:return 75;case 62:case 63:case 64:return 74;case 65:return 52;case 66:return 53;case 67:return 54;case 68:return 55;case 69:return 56;case 70:return 57;case 71:return 58;case 72:return 62;case 73:return 63;case 74:return 102;case 75:return 105;case 76:return 120;case 77:return 117;case 78:return 106;case 79:case 80:return 118;case 81:return 107;case 82:return 66;case 83:return 85;case 84:return\"SEP\";case 85:return 84;case 86:return 59;case 87:return 68;case 88:return 67;case 89:return 70;case 90:return 69;case 91:return 115;case 92:return 116;case 93:return 61;case 94:return 50;case 95:return 51;case 96:return 40;case 97:return 41;case 98:return 64;case 99:return 65;case 100:return 126;case 101:return 21;case 102:return 22;case 103:return 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40:r.parseDirective(\"}%%\",\"close_directive\",\"gantt\");}},table:[{3:1,4:2,5:e,24:4,34:n},{1:[3]},{3:6,4:2,5:e,24:4,34:n},t(r,[2,3],{6:7}),{25:8,35:[1,9]},{35:[2,37]},{1:[2,1]},{4:26,7:[1,10],8:11,9:[1,12],10:13,11:[1,14],12:i,13:a,14:o,15:s,16:l,17:c,18:u,19:h,20:f,21:24,22:d,24:4,29:p,34:n},{26:28,27:[1,29],37:m},t([27,37],[2,38]),t(r,[2,8],{1:[2,2]}),t(r,[2,4]),{4:26,10:31,12:i,13:a,14:o,15:s,16:l,17:c,18:u,19:h,20:f,21:24,22:d,24:4,29:p,34:n},t(r,[2,6]),t(r,[2,7]),t(r,[2,9]),t(r,[2,10]),t(r,[2,11]),t(r,[2,12]),t(r,[2,13]),t(r,[2,14]),t(r,[2,15]),t(r,[2,16]),t(r,[2,17]),t(r,[2,18]),{23:[1,32]},t(r,[2,20]),{30:[1,33],32:[1,34]},{11:[1,35]},{28:36,36:[1,37]},{11:[2,40]},t(r,[2,5]),t(r,[2,19]),t(r,[2,23],{31:[1,38],32:[1,39]}),t(r,[2,29],{30:[1,40]}),t(g,[2,21]),{26:41,37:m},{37:[2,39]},t(r,[2,24],{32:[1,42]}),t(r,[2,25]),t(r,[2,27],{31:[1,43]}),{11:[1,44]},t(r,[2,26]),t(r,[2,28]),t(g,[2,22])],defaultActions:{5:[2,37],6:[2,1],30:[2,40],37:[2,39]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n;}this.trace(t);},parse:function(t){var e=this,n=[0],r=[],i=[null],a=[],o=this.table,s=\"\",l=0,c=0,u=0,h=2,f=1,d=a.slice.call(arguments,1),p=Object.create(this.lexer),m={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(m.yy[g]=this.yy[g]);p.setInput(t,m.yy),m.yy.lexer=p,m.yy.parser=this,void 0===p.yylloc&&(p.yylloc={});var y=p.yylloc;a.push(y);var v=p.options&&p.options.ranges;function b(){var t;return\"number\"!=typeof(t=r.pop()||p.lex()||f)&&(t instanceof Array&&(t=(r=t).pop()),t=e.symbols_[t]||t),t;}\"function\"==typeof m.yy.parseError?this.parseError=m.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var _,x,w,k,S,C,M,T,A,E={};;){if(w=n[n.length-1],this.defaultActions[w]?k=this.defaultActions[w]:(null==_&&(_=b()),k=o[w]&&o[w][_]),void 0===k||!k.length||!k[0]){var N=\"\";for(C in A=[],o[w])this.terminals_[C]&&C>h&&A.push(\"'\"+this.terminals_[C]+\"'\");N=p.showPosition?\"Parse error on line \"+(l+1)+\":\\n\"+p.showPosition()+\"\\nExpecting \"+A.join(\", \")+\", got '\"+(this.terminals_[_]||_)+\"'\":\"Parse error on line \"+(l+1)+\": Unexpected \"+(_==f?\"end of input\":\"'\"+(this.terminals_[_]||_)+\"'\"),this.parseError(N,{text:p.match,token:this.terminals_[_]||_,line:p.yylineno,loc:y,expected:A});}if(k[0]instanceof Array&&k.length>1)throw new Error(\"Parse Error: multiple actions possible at state: \"+w+\", token: \"+_);switch(k[0]){case 1:n.push(_),i.push(p.yytext),a.push(p.yylloc),n.push(k[1]),_=null,x?(_=x,x=null):(c=p.yyleng,s=p.yytext,l=p.yylineno,y=p.yylloc,u>0&&u--);break;case 2:if(M=this.productions_[k[1]][1],E.$=i[i.length-M],E._$={first_line:a[a.length-(M||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(M||1)].first_column,last_column:a[a.length-1].last_column},v&&(E._$.range=[a[a.length-(M||1)].range[0],a[a.length-1].range[1]]),void 0!==(S=this.performAction.apply(E,[s,c,l,m.yy,k[1],i,a].concat(d))))return S;M&&(n=n.slice(0,-1*M*2),i=i.slice(0,-1*M),a=a.slice(0,-1*M)),n.push(this.productions_[k[1]][0]),i.push(E.$),a.push(E._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0;}}return!0;}},v={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e);},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match=\"\",this.conditionStack=[\"INITIAL\"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this;},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\\r\\n?|\\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t;},unput:function(t){var e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},less:function(t){this.unput(this.match.slice(t));},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?\"...\":\"\")+t.substr(-20).replace(/\\n/g,\"\");},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?\"...\":\"\")).replace(/\\n/g,\"\");},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join(\"-\");return t+this.upcomingInput()+\"\\n\"+e+\"^\";},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\\r\\n?|\\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\\r?\\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1;}return!1;},next:function(){if(this.done)return this.EOF;var t,e,n,r;this._input||(this.done=!0),this._more||(this.yytext=\"\",this.match=\"\");for(var i=this._currentRules(),a=0;a<i.length;a++)if((n=this._input.match(this.rules[i[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[a])))return t;if(this._backtrack){e=!1;continue;}return!1;}if(!this.options.flex)break;}return e?!1!==(t=this.test_match(e,i[r]))&&t:\"\"===this._input?this.EOF:this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". Unrecognized text.\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},lex:function(){return this.next()||this.lex();},begin:function(t){this.conditionStack.push(t);},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0];},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules;},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:\"INITIAL\";},pushState:function(t){this.begin(t);},stateStackSize:function(){return this.conditionStack.length;},options:{\"case-insensitive\":!0},performAction:function(t,e,n,r){switch(n){case 0:return this.begin(\"open_directive\"),34;case 1:return this.begin(\"type_directive\"),35;case 2:return this.popState(),this.begin(\"arg_directive\"),27;case 3:return this.popState(),this.popState(),37;case 4:return 36;case 5:case 6:case 7:case 9:case 10:case 11:break;case 8:return 11;case 12:this.begin(\"href\");break;case 13:case 16:case 19:case 22:this.popState();break;case 14:return 32;case 15:this.begin(\"callbackname\");break;case 17:this.popState(),this.begin(\"callbackargs\");break;case 18:return 30;case 20:return 31;case 21:this.begin(\"click\");break;case 23:return 29;case 24:return 5;case 25:return 12;case 26:return 13;case 27:return 14;case 28:return 15;case 29:return 17;case 30:return 16;case 31:return 18;case 32:return\"date\";case 33:return 19;case 34:return 20;case 35:return 22;case 36:return 23;case 37:return 27;case 38:return 7;case 39:return\"INVALID\";}},rules:[/^(?:%%\\{)/i,/^(?:((?:(?!\\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\\}%%)/i,/^(?:((?:(?!\\}%%).|\\n)*))/i,/^(?:%%(?!\\{)*[^\\n]*)/i,/^(?:[^\\}]%%*[^\\n]*)/i,/^(?:%%*[^\\n]*[\\n]*)/i,/^(?:[\\n]+)/i,/^(?:\\s+)/i,/^(?:#[^\\n]*)/i,/^(?:%[^\\n]*)/i,/^(?:href[\\s]+[\"])/i,/^(?:[\"])/i,/^(?:[^\"]*)/i,/^(?:call[\\s]+)/i,/^(?:\\([\\s]*\\))/i,/^(?:\\()/i,/^(?:[^(]*)/i,/^(?:\\))/i,/^(?:[^)]*)/i,/^(?:click[\\s]+)/i,/^(?:[\\s\\n])/i,/^(?:[^\\s\\n]*)/i,/^(?:gantt\\b)/i,/^(?:dateFormat\\s[^#\\n;]+)/i,/^(?:inclusiveEndDates\\b)/i,/^(?:topAxis\\b)/i,/^(?:axisFormat\\s[^#\\n;]+)/i,/^(?:includes\\s[^#\\n;]+)/i,/^(?:excludes\\s[^#\\n;]+)/i,/^(?:todayMarker\\s[^\\n;]+)/i,/^(?:\\d\\d\\d\\d-\\d\\d-\\d\\d\\b)/i,/^(?:title\\s[^#\\n;]+)/i,/^(?:section\\s[^#:\\n;]+)/i,/^(?:[^#:\\n;]+)/i,/^(?::[^#\\n;]+)/i,/^(?::)/i,/^(?:$)/i,/^(?:.)/i],conditions:{close_directive:{rules:[],inclusive:!1},arg_directive:{rules:[3,4],inclusive:!1},type_directive:{rules:[2,3],inclusive:!1},open_directive:{rules:[1],inclusive:!1},callbackargs:{rules:[19,20],inclusive:!1},callbackname:{rules:[16,17,18],inclusive:!1},href:{rules:[13,14],inclusive:!1},click:{rules:[22,23],inclusive:!1},INITIAL:{rules:[0,5,6,7,8,9,10,11,12,15,21,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],inclusive:!0}}};function b(){this.yy={};}return y.lexer=v,b.prototype=y,y.Parser=b,new b();}();n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments);},n.main=function(e){e[1]||(console.log(\"Usage: \"+e[0]+\" FILE\"),t.exit(1));var i=r(6878).readFileSync(r(6470).normalize(e[1]),\"utf8\");return n.parser.parse(i);},r.c[r.s]===e&&n.main(t.argv.slice(1));},2553:(e,n,r)=>{e=r.nmd(e);var i=function(){var t=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return n;},e=[2,3],n=[1,7],r=[7,12,15,17,19,20,21],i=[7,11,12,15,17,19,20,21],a=[2,20],o=[1,32],s={trace:function(){},yy:{},symbols_:{error:2,start:3,GG:4,\":\":5,document:6,EOF:7,DIR:8,options:9,body:10,OPT:11,NL:12,line:13,statement:14,COMMIT:15,commit_arg:16,BRANCH:17,ID:18,CHECKOUT:19,MERGE:20,RESET:21,reset_arg:22,STR:23,HEAD:24,reset_parents:25,CARET:26,$accept:0,$end:1},terminals_:{2:\"error\",4:\"GG\",5:\":\",7:\"EOF\",8:\"DIR\",11:\"OPT\",12:\"NL\",15:\"COMMIT\",17:\"BRANCH\",18:\"ID\",19:\"CHECKOUT\",20:\"MERGE\",21:\"RESET\",23:\"STR\",24:\"HEAD\",26:\"CARET\"},productions_:[0,[3,4],[3,5],[6,0],[6,2],[9,2],[9,1],[10,0],[10,2],[13,2],[13,1],[14,2],[14,2],[14,2],[14,2],[14,2],[16,0],[16,1],[22,2],[22,2],[25,0],[25,2]],performAction:function(t,e,n,r,i,a,o){var s=a.length-1;switch(i){case 1:return a[s-1];case 2:return r.setDirection(a[s-3]),a[s-1];case 4:r.setOptions(a[s-1]),this.$=a[s];break;case 5:a[s-1]+=a[s],this.$=a[s-1];break;case 7:this.$=[];break;case 8:a[s-1].push(a[s]),this.$=a[s-1];break;case 9:this.$=a[s-1];break;case 11:r.commit(a[s]);break;case 12:r.branch(a[s]);break;case 13:r.checkout(a[s]);break;case 14:r.merge(a[s]);break;case 15:r.reset(a[s]);break;case 16:this.$=\"\";break;case 17:this.$=a[s];break;case 18:this.$=a[s-1]+\":\"+a[s];break;case 19:this.$=a[s-1]+\":\"+r.count,r.count=0;break;case 20:r.count=0;break;case 21:r.count+=1;}},table:[{3:1,4:[1,2]},{1:[3]},{5:[1,3],8:[1,4]},{6:5,7:e,9:6,12:n},{5:[1,8]},{7:[1,9]},t(r,[2,7],{10:10,11:[1,11]}),t(i,[2,6]),{6:12,7:e,9:6,12:n},{1:[2,1]},{7:[2,4],12:[1,15],13:13,14:14,15:[1,16],17:[1,17],19:[1,18],20:[1,19],21:[1,20]},t(i,[2,5]),{7:[1,21]},t(r,[2,8]),{12:[1,22]},t(r,[2,10]),{12:[2,16],16:23,23:[1,24]},{18:[1,25]},{18:[1,26]},{18:[1,27]},{18:[1,30],22:28,24:[1,29]},{1:[2,2]},t(r,[2,9]),{12:[2,11]},{12:[2,17]},{12:[2,12]},{12:[2,13]},{12:[2,14]},{12:[2,15]},{12:a,25:31,26:o},{12:a,25:33,26:o},{12:[2,18]},{12:a,25:34,26:o},{12:[2,19]},{12:[2,21]}],defaultActions:{9:[2,1],21:[2,2],23:[2,11],24:[2,17],25:[2,12],26:[2,13],27:[2,14],28:[2,15],31:[2,18],33:[2,19],34:[2,21]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n;}this.trace(t);},parse:function(t){var e=this,n=[0],r=[],i=[null],a=[],o=this.table,s=\"\",l=0,c=0,u=0,h=2,f=1,d=a.slice.call(arguments,1),p=Object.create(this.lexer),m={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(m.yy[g]=this.yy[g]);p.setInput(t,m.yy),m.yy.lexer=p,m.yy.parser=this,void 0===p.yylloc&&(p.yylloc={});var y=p.yylloc;a.push(y);var v=p.options&&p.options.ranges;function b(){var t;return\"number\"!=typeof(t=r.pop()||p.lex()||f)&&(t instanceof Array&&(t=(r=t).pop()),t=e.symbols_[t]||t),t;}\"function\"==typeof m.yy.parseError?this.parseError=m.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var _,x,w,k,S,C,M,T,A,E={};;){if(w=n[n.length-1],this.defaultActions[w]?k=this.defaultActions[w]:(null==_&&(_=b()),k=o[w]&&o[w][_]),void 0===k||!k.length||!k[0]){var N=\"\";for(C in A=[],o[w])this.terminals_[C]&&C>h&&A.push(\"'\"+this.terminals_[C]+\"'\");N=p.showPosition?\"Parse error on line \"+(l+1)+\":\\n\"+p.showPosition()+\"\\nExpecting \"+A.join(\", \")+\", got '\"+(this.terminals_[_]||_)+\"'\":\"Parse error on line \"+(l+1)+\": Unexpected \"+(_==f?\"end of input\":\"'\"+(this.terminals_[_]||_)+\"'\"),this.parseError(N,{text:p.match,token:this.terminals_[_]||_,line:p.yylineno,loc:y,expected:A});}if(k[0]instanceof Array&&k.length>1)throw new Error(\"Parse Error: multiple actions possible at state: \"+w+\", token: \"+_);switch(k[0]){case 1:n.push(_),i.push(p.yytext),a.push(p.yylloc),n.push(k[1]),_=null,x?(_=x,x=null):(c=p.yyleng,s=p.yytext,l=p.yylineno,y=p.yylloc,u>0&&u--);break;case 2:if(M=this.productions_[k[1]][1],E.$=i[i.length-M],E._$={first_line:a[a.length-(M||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(M||1)].first_column,last_column:a[a.length-1].last_column},v&&(E._$.range=[a[a.length-(M||1)].range[0],a[a.length-1].range[1]]),void 0!==(S=this.performAction.apply(E,[s,c,l,m.yy,k[1],i,a].concat(d))))return S;M&&(n=n.slice(0,-1*M*2),i=i.slice(0,-1*M),a=a.slice(0,-1*M)),n.push(this.productions_[k[1]][0]),i.push(E.$),a.push(E._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0;}}return!0;}},l={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e);},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match=\"\",this.conditionStack=[\"INITIAL\"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this;},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\\r\\n?|\\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t;},unput:function(t){var e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},less:function(t){this.unput(this.match.slice(t));},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?\"...\":\"\")+t.substr(-20).replace(/\\n/g,\"\");},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?\"...\":\"\")).replace(/\\n/g,\"\");},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join(\"-\");return t+this.upcomingInput()+\"\\n\"+e+\"^\";},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\\r\\n?|\\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\\r?\\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1;}return!1;},next:function(){if(this.done)return this.EOF;var t,e,n,r;this._input||(this.done=!0),this._more||(this.yytext=\"\",this.match=\"\");for(var i=this._currentRules(),a=0;a<i.length;a++)if((n=this._input.match(this.rules[i[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[a])))return t;if(this._backtrack){e=!1;continue;}return!1;}if(!this.options.flex)break;}return e?!1!==(t=this.test_match(e,i[r]))&&t:\"\"===this._input?this.EOF:this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". Unrecognized text.\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},lex:function(){return this.next()||this.lex();},begin:function(t){this.conditionStack.push(t);},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0];},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules;},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:\"INITIAL\";},pushState:function(t){this.begin(t);},stateStackSize:function(){return this.conditionStack.length;},options:{\"case-insensitive\":!0},performAction:function(t,e,n,r){switch(n){case 0:return 12;case 1:case 2:case 3:break;case 4:return 4;case 5:return 15;case 6:return 17;case 7:return 20;case 8:return 21;case 9:return 19;case 10:case 11:return 8;case 12:return 5;case 13:return 26;case 14:this.begin(\"options\");break;case 15:case 18:this.popState();break;case 16:return 11;case 17:this.begin(\"string\");break;case 19:return 23;case 20:return 18;case 21:return 7;}},rules:[/^(?:(\\r?\\n)+)/i,/^(?:\\s+)/i,/^(?:#[^\\n]*)/i,/^(?:%[^\\n]*)/i,/^(?:gitGraph\\b)/i,/^(?:commit\\b)/i,/^(?:branch\\b)/i,/^(?:merge\\b)/i,/^(?:reset\\b)/i,/^(?:checkout\\b)/i,/^(?:LR\\b)/i,/^(?:BT\\b)/i,/^(?::)/i,/^(?:\\^)/i,/^(?:options\\r?\\n)/i,/^(?:end\\r?\\n)/i,/^(?:[^\\n]+\\r?\\n)/i,/^(?:[\"])/i,/^(?:[\"])/i,/^(?:[^\"]*)/i,/^(?:[a-zA-Z][-_\\.a-zA-Z0-9]*[-_a-zA-Z0-9])/i,/^(?:$)/i],conditions:{options:{rules:[15,16],inclusive:!1},string:{rules:[18,19],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,17,20,21],inclusive:!0}}};function c(){this.yy={};}return s.lexer=l,c.prototype=s,s.Parser=c,new c();}();n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments);},n.main=function(e){e[1]||(console.log(\"Usage: \"+e[0]+\" FILE\"),t.exit(1));var i=r(8183).readFileSync(r(6470).normalize(e[1]),\"utf8\");return n.parser.parse(i);},r.c[r.s]===e&&n.main(t.argv.slice(1));},6765:(e,n,r)=>{e=r.nmd(e);var i=function(){var t=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return n;},e=[6,9,10],n={trace:function(){},yy:{},symbols_:{error:2,start:3,info:4,document:5,EOF:6,line:7,statement:8,NL:9,showInfo:10,$accept:0,$end:1},terminals_:{2:\"error\",4:\"info\",6:\"EOF\",9:\"NL\",10:\"showInfo\"},productions_:[0,[3,3],[5,0],[5,2],[7,1],[7,1],[8,1]],performAction:function(t,e,n,r,i,a,o){switch(a.length,i){case 1:return r;case 4:break;case 6:r.setInfo(!0);}},table:[{3:1,4:[1,2]},{1:[3]},t(e,[2,2],{5:3}),{6:[1,4],7:5,8:6,9:[1,7],10:[1,8]},{1:[2,1]},t(e,[2,3]),t(e,[2,4]),t(e,[2,5]),t(e,[2,6])],defaultActions:{4:[2,1]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n;}this.trace(t);},parse:function(t){var e=this,n=[0],r=[],i=[null],a=[],o=this.table,s=\"\",l=0,c=0,u=0,h=2,f=1,d=a.slice.call(arguments,1),p=Object.create(this.lexer),m={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(m.yy[g]=this.yy[g]);p.setInput(t,m.yy),m.yy.lexer=p,m.yy.parser=this,void 0===p.yylloc&&(p.yylloc={});var y=p.yylloc;a.push(y);var v=p.options&&p.options.ranges;function b(){var t;return\"number\"!=typeof(t=r.pop()||p.lex()||f)&&(t instanceof Array&&(t=(r=t).pop()),t=e.symbols_[t]||t),t;}\"function\"==typeof m.yy.parseError?this.parseError=m.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var _,x,w,k,S,C,M,T,A,E={};;){if(w=n[n.length-1],this.defaultActions[w]?k=this.defaultActions[w]:(null==_&&(_=b()),k=o[w]&&o[w][_]),void 0===k||!k.length||!k[0]){var N=\"\";for(C in A=[],o[w])this.terminals_[C]&&C>h&&A.push(\"'\"+this.terminals_[C]+\"'\");N=p.showPosition?\"Parse error on line \"+(l+1)+\":\\n\"+p.showPosition()+\"\\nExpecting \"+A.join(\", \")+\", got '\"+(this.terminals_[_]||_)+\"'\":\"Parse error on line \"+(l+1)+\": Unexpected \"+(_==f?\"end of input\":\"'\"+(this.terminals_[_]||_)+\"'\"),this.parseError(N,{text:p.match,token:this.terminals_[_]||_,line:p.yylineno,loc:y,expected:A});}if(k[0]instanceof Array&&k.length>1)throw new Error(\"Parse Error: multiple actions possible at state: \"+w+\", token: \"+_);switch(k[0]){case 1:n.push(_),i.push(p.yytext),a.push(p.yylloc),n.push(k[1]),_=null,x?(_=x,x=null):(c=p.yyleng,s=p.yytext,l=p.yylineno,y=p.yylloc,u>0&&u--);break;case 2:if(M=this.productions_[k[1]][1],E.$=i[i.length-M],E._$={first_line:a[a.length-(M||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(M||1)].first_column,last_column:a[a.length-1].last_column},v&&(E._$.range=[a[a.length-(M||1)].range[0],a[a.length-1].range[1]]),void 0!==(S=this.performAction.apply(E,[s,c,l,m.yy,k[1],i,a].concat(d))))return S;M&&(n=n.slice(0,-1*M*2),i=i.slice(0,-1*M),a=a.slice(0,-1*M)),n.push(this.productions_[k[1]][0]),i.push(E.$),a.push(E._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0;}}return!0;}},r={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e);},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match=\"\",this.conditionStack=[\"INITIAL\"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this;},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\\r\\n?|\\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t;},unput:function(t){var e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},less:function(t){this.unput(this.match.slice(t));},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?\"...\":\"\")+t.substr(-20).replace(/\\n/g,\"\");},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?\"...\":\"\")).replace(/\\n/g,\"\");},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join(\"-\");return t+this.upcomingInput()+\"\\n\"+e+\"^\";},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\\r\\n?|\\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\\r?\\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1;}return!1;},next:function(){if(this.done)return this.EOF;var t,e,n,r;this._input||(this.done=!0),this._more||(this.yytext=\"\",this.match=\"\");for(var i=this._currentRules(),a=0;a<i.length;a++)if((n=this._input.match(this.rules[i[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[a])))return t;if(this._backtrack){e=!1;continue;}return!1;}if(!this.options.flex)break;}return e?!1!==(t=this.test_match(e,i[r]))&&t:\"\"===this._input?this.EOF:this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". Unrecognized text.\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},lex:function(){return this.next()||this.lex();},begin:function(t){this.conditionStack.push(t);},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0];},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules;},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:\"INITIAL\";},pushState:function(t){this.begin(t);},stateStackSize:function(){return this.conditionStack.length;},options:{\"case-insensitive\":!0},performAction:function(t,e,n,r){switch(n){case 0:return 4;case 1:return 9;case 2:return\"space\";case 3:return 10;case 4:return 6;case 5:return\"TXT\";}},rules:[/^(?:info\\b)/i,/^(?:[\\s\\n\\r]+)/i,/^(?:[\\s]+)/i,/^(?:showInfo\\b)/i,/^(?:$)/i,/^(?:.)/i],conditions:{INITIAL:{rules:[0,1,2,3,4,5],inclusive:!0}}};function i(){this.yy={};}return n.lexer=r,i.prototype=n,n.Parser=i,new i();}();n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments);},n.main=function(e){e[1]||(console.log(\"Usage: \"+e[0]+\" FILE\"),t.exit(1));var i=r(1428).readFileSync(r(6470).normalize(e[1]),\"utf8\");return n.parser.parse(i);},r.c[r.s]===e&&n.main(t.argv.slice(1));},7062:(e,n,r)=>{e=r.nmd(e);var i=function(){var t=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return n;},e=[1,4],n=[1,5],r=[1,6],i=[1,7],a=[1,9],o=[1,11,13,20,21,22,23],s=[2,5],l=[1,6,11,13,20,21,22,23],c=[20,21,22],u=[2,8],h=[1,18],f=[1,19],d=[1,24],p=[6,20,21,22,23],m={trace:function(){},yy:{},symbols_:{error:2,start:3,eol:4,directive:5,PIE:6,document:7,showData:8,line:9,statement:10,txt:11,value:12,title:13,title_value:14,openDirective:15,typeDirective:16,closeDirective:17,\":\":18,argDirective:19,NEWLINE:20,\";\":21,EOF:22,open_directive:23,type_directive:24,arg_directive:25,close_directive:26,$accept:0,$end:1},terminals_:{2:\"error\",6:\"PIE\",8:\"showData\",11:\"txt\",12:\"value\",13:\"title\",14:\"title_value\",18:\":\",20:\"NEWLINE\",21:\";\",22:\"EOF\",23:\"open_directive\",24:\"type_directive\",25:\"arg_directive\",26:\"close_directive\"},productions_:[0,[3,2],[3,2],[3,2],[3,3],[7,0],[7,2],[9,2],[10,0],[10,2],[10,2],[10,1],[5,3],[5,5],[4,1],[4,1],[4,1],[15,1],[16,1],[19,1],[17,1]],performAction:function(t,e,n,r,i,a,o){var s=a.length-1;switch(i){case 4:r.setShowData(!0);break;case 7:this.$=a[s-1];break;case 9:r.addSection(a[s-1],r.cleanupValue(a[s]));break;case 10:this.$=a[s].trim(),r.setTitle(this.$);break;case 17:r.parseDirective(\"%%{\",\"open_directive\");break;case 18:r.parseDirective(a[s],\"type_directive\");break;case 19:a[s]=a[s].trim().replace(/'/g,'\"'),r.parseDirective(a[s],\"arg_directive\");break;case 20:r.parseDirective(\"}%%\",\"close_directive\",\"pie\");}},table:[{3:1,4:2,5:3,6:e,15:8,20:n,21:r,22:i,23:a},{1:[3]},{3:10,4:2,5:3,6:e,15:8,20:n,21:r,22:i,23:a},{3:11,4:2,5:3,6:e,15:8,20:n,21:r,22:i,23:a},t(o,s,{7:12,8:[1,13]}),t(l,[2,14]),t(l,[2,15]),t(l,[2,16]),{16:14,24:[1,15]},{24:[2,17]},{1:[2,1]},{1:[2,2]},t(c,u,{15:8,9:16,10:17,5:20,1:[2,3],11:h,13:f,23:a}),t(o,s,{7:21}),{17:22,18:[1,23],26:d},t([18,26],[2,18]),t(o,[2,6]),{4:25,20:n,21:r,22:i},{12:[1,26]},{14:[1,27]},t(c,[2,11]),t(c,u,{15:8,9:16,10:17,5:20,1:[2,4],11:h,13:f,23:a}),t(p,[2,12]),{19:28,25:[1,29]},t(p,[2,20]),t(o,[2,7]),t(c,[2,9]),t(c,[2,10]),{17:30,26:d},{26:[2,19]},t(p,[2,13])],defaultActions:{9:[2,17],10:[2,1],11:[2,2],29:[2,19]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n;}this.trace(t);},parse:function(t){var e=this,n=[0],r=[],i=[null],a=[],o=this.table,s=\"\",l=0,c=0,u=0,h=2,f=1,d=a.slice.call(arguments,1),p=Object.create(this.lexer),m={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(m.yy[g]=this.yy[g]);p.setInput(t,m.yy),m.yy.lexer=p,m.yy.parser=this,void 0===p.yylloc&&(p.yylloc={});var y=p.yylloc;a.push(y);var v=p.options&&p.options.ranges;function b(){var t;return\"number\"!=typeof(t=r.pop()||p.lex()||f)&&(t instanceof Array&&(t=(r=t).pop()),t=e.symbols_[t]||t),t;}\"function\"==typeof m.yy.parseError?this.parseError=m.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var _,x,w,k,S,C,M,T,A,E={};;){if(w=n[n.length-1],this.defaultActions[w]?k=this.defaultActions[w]:(null==_&&(_=b()),k=o[w]&&o[w][_]),void 0===k||!k.length||!k[0]){var N=\"\";for(C in A=[],o[w])this.terminals_[C]&&C>h&&A.push(\"'\"+this.terminals_[C]+\"'\");N=p.showPosition?\"Parse error on line \"+(l+1)+\":\\n\"+p.showPosition()+\"\\nExpecting \"+A.join(\", \")+\", got '\"+(this.terminals_[_]||_)+\"'\":\"Parse error on line \"+(l+1)+\": Unexpected \"+(_==f?\"end of 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3:return!0;}}return!0;}},g={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e);},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match=\"\",this.conditionStack=[\"INITIAL\"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this;},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\\r\\n?|\\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t;},unput:function(t){var e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},less:function(t){this.unput(this.match.slice(t));},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?\"...\":\"\")+t.substr(-20).replace(/\\n/g,\"\");},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?\"...\":\"\")).replace(/\\n/g,\"\");},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join(\"-\");return t+this.upcomingInput()+\"\\n\"+e+\"^\";},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\\r\\n?|\\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\\r?\\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1;}return!1;},next:function(){if(this.done)return this.EOF;var t,e,n,r;this._input||(this.done=!0),this._more||(this.yytext=\"\",this.match=\"\");for(var i=this._currentRules(),a=0;a<i.length;a++)if((n=this._input.match(this.rules[i[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[a])))return t;if(this._backtrack){e=!1;continue;}return!1;}if(!this.options.flex)break;}return e?!1!==(t=this.test_match(e,i[r]))&&t:\"\"===this._input?this.EOF:this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". Unrecognized text.\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},lex:function(){return this.next()||this.lex();},begin:function(t){this.conditionStack.push(t);},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0];},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules;},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:\"INITIAL\";},pushState:function(t){this.begin(t);},stateStackSize:function(){return this.conditionStack.length;},options:{\"case-insensitive\":!0},performAction:function(t,e,n,r){switch(n){case 0:return this.begin(\"open_directive\"),23;case 1:return this.begin(\"type_directive\"),24;case 2:return this.popState(),this.begin(\"arg_directive\"),18;case 3:return this.popState(),this.popState(),26;case 4:return 25;case 5:case 6:case 8:case 9:break;case 7:return 20;case 10:return this.begin(\"title\"),13;case 11:return this.popState(),\"title_value\";case 12:this.begin(\"string\");break;case 13:this.popState();break;case 14:return\"txt\";case 15:return 6;case 16:return 8;case 17:return\"value\";case 18:return 22;}},rules:[/^(?:%%\\{)/i,/^(?:((?:(?!\\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\\}%%)/i,/^(?:((?:(?!\\}%%).|\\n)*))/i,/^(?:%%(?!\\{)[^\\n]*)/i,/^(?:[^\\}]%%[^\\n]*)/i,/^(?:[\\n\\r]+)/i,/^(?:%%[^\\n]*)/i,/^(?:[\\s]+)/i,/^(?:title\\b)/i,/^(?:(?!\\n||)*[^\\n]*)/i,/^(?:[\"])/i,/^(?:[\"])/i,/^(?:[^\"]*)/i,/^(?:pie\\b)/i,/^(?:showData\\b)/i,/^(?::[\\s]*[\\d]+(?:\\.[\\d]+)?)/i,/^(?:$)/i],conditions:{close_directive:{rules:[],inclusive:!1},arg_directive:{rules:[3,4],inclusive:!1},type_directive:{rules:[2,3],inclusive:!1},open_directive:{rules:[1],inclusive:!1},title:{rules:[11],inclusive:!1},string:{rules:[13,14],inclusive:!1},INITIAL:{rules:[0,5,6,7,8,9,10,12,15,16,17,18],inclusive:!0}}};function y(){this.yy={};}return m.lexer=g,y.prototype=m,m.Parser=y,new y();}();n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments);},n.main=function(e){e[1]||(console.log(\"Usage: \"+e[0]+\" FILE\"),t.exit(1));var i=r(4551).readFileSync(r(6470).normalize(e[1]),\"utf8\");return n.parser.parse(i);},r.c[r.s]===e&&n.main(t.argv.slice(1));},3176:(e,n,r)=>{e=r.nmd(e);var i=function(){var t=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return n;},e=[1,3],n=[1,5],r=[1,17],i=[2,10],a=[1,21],o=[1,22],s=[1,23],l=[1,24],c=[1,25],u=[1,26],h=[1,19],f=[1,27],d=[1,28],p=[1,31],m=[66,67],g=[5,8,14,35,36,37,38,39,40,48,55,57,66,67],y=[5,6,8,14,35,36,37,38,39,40,48,66,67],v=[1,51],b=[1,52],_=[1,53],x=[1,54],w=[1,55],k=[1,56],S=[1,57],C=[57,58],M=[1,69],T=[1,65],A=[1,66],E=[1,67],N=[1,68],D=[1,70],O=[1,74],I=[1,75],L=[1,72],B=[1,73],R=[5,8,14,35,36,37,38,39,40,48,66,67],z={trace:function(){},yy:{},symbols_:{error:2,start:3,directive:4,NEWLINE:5,RD:6,diagram:7,EOF:8,openDirective:9,typeDirective:10,closeDirective:11,\":\":12,argDirective:13,open_directive:14,type_directive:15,arg_directive:16,close_directive:17,requirementDef:18,elementDef:19,relationshipDef:20,requirementType:21,requirementName:22,STRUCT_START:23,requirementBody:24,ID:25,COLONSEP:26,id:27,TEXT:28,text:29,RISK:30,riskLevel:31,VERIFYMTHD:32,verifyType:33,STRUCT_STOP:34,REQUIREMENT:35,FUNCTIONAL_REQUIREMENT:36,INTERFACE_REQUIREMENT:37,PERFORMANCE_REQUIREMENT:38,PHYSICAL_REQUIREMENT:39,DESIGN_CONSTRAINT:40,LOW_RISK:41,MED_RISK:42,HIGH_RISK:43,VERIFY_ANALYSIS:44,VERIFY_DEMONSTRATION:45,VERIFY_INSPECTION:46,VERIFY_TEST:47,ELEMENT:48,elementName:49,elementBody:50,TYPE:51,type:52,DOCREF:53,ref:54,END_ARROW_L:55,relationship:56,LINE:57,END_ARROW_R:58,CONTAINS:59,COPIES:60,DERIVES:61,SATISFIES:62,VERIFIES:63,REFINES:64,TRACES:65,unqString:66,qString:67,$accept:0,$end:1},terminals_:{2:\"error\",5:\"NEWLINE\",6:\"RD\",8:\"EOF\",12:\":\",14:\"open_directive\",15:\"type_directive\",16:\"arg_directive\",17:\"close_directive\",23:\"STRUCT_START\",25:\"ID\",26:\"COLONSEP\",28:\"TEXT\",30:\"RISK\",32:\"VERIFYMTHD\",34:\"STRUCT_STOP\",35:\"REQUIREMENT\",36:\"FUNCTIONAL_REQUIREMENT\",37:\"INTERFACE_REQUIREMENT\",38:\"PERFORMANCE_REQUIREMENT\",39:\"PHYSICAL_REQUIREMENT\",40:\"DESIGN_CONSTRAINT\",41:\"LOW_RISK\",42:\"MED_RISK\",43:\"HIGH_RISK\",44:\"VERIFY_ANALYSIS\",45:\"VERIFY_DEMONSTRATION\",46:\"VERIFY_INSPECTION\",47:\"VERIFY_TEST\",48:\"ELEMENT\",51:\"TYPE\",53:\"DOCREF\",55:\"END_ARROW_L\",57:\"LINE\",58:\"END_ARROW_R\",59:\"CONTAINS\",60:\"COPIES\",61:\"DERIVES\",62:\"SATISFIES\",63:\"VERIFIES\",64:\"REFINES\",65:\"TRACES\",66:\"unqString\",67:\"qString\"},productions_:[0,[3,3],[3,2],[3,4],[4,3],[4,5],[9,1],[10,1],[13,1],[11,1],[7,0],[7,2],[7,2],[7,2],[7,2],[7,2],[18,5],[24,5],[24,5],[24,5],[24,5],[24,2],[24,1],[21,1],[21,1],[21,1],[21,1],[21,1],[21,1],[31,1],[31,1],[31,1],[33,1],[33,1],[33,1],[33,1],[19,5],[50,5],[50,5],[50,2],[50,1],[20,5],[20,5],[56,1],[56,1],[56,1],[56,1],[56,1],[56,1],[56,1],[22,1],[22,1],[27,1],[27,1],[29,1],[29,1],[49,1],[49,1],[52,1],[52,1],[54,1],[54,1]],performAction:function(t,e,n,r,i,a,o){var s=a.length-1;switch(i){case 6:r.parseDirective(\"%%{\",\"open_directive\");break;case 7:r.parseDirective(a[s],\"type_directive\");break;case 8:a[s]=a[s].trim().replace(/'/g,'\"'),r.parseDirective(a[s],\"arg_directive\");break;case 9:r.parseDirective(\"}%%\",\"close_directive\",\"pie\");break;case 10:this.$=[];break;case 16:r.addRequirement(a[s-3],a[s-4]);break;case 17:r.setNewReqId(a[s-2]);break;case 18:r.setNewReqText(a[s-2]);break;case 19:r.setNewReqRisk(a[s-2]);break;case 20:r.setNewReqVerifyMethod(a[s-2]);break;case 23:this.$=r.RequirementType.REQUIREMENT;break;case 24:this.$=r.RequirementType.FUNCTIONAL_REQUIREMENT;break;case 25:this.$=r.RequirementType.INTERFACE_REQUIREMENT;break;case 26:this.$=r.RequirementType.PERFORMANCE_REQUIREMENT;break;case 27:this.$=r.RequirementType.PHYSICAL_REQUIREMENT;break;case 28:this.$=r.RequirementType.DESIGN_CONSTRAINT;break;case 29:this.$=r.RiskLevel.LOW_RISK;break;case 30:this.$=r.RiskLevel.MED_RISK;break;case 31:this.$=r.RiskLevel.HIGH_RISK;break;case 32:this.$=r.VerifyType.VERIFY_ANALYSIS;break;case 33:this.$=r.VerifyType.VERIFY_DEMONSTRATION;break;case 34:this.$=r.VerifyType.VERIFY_INSPECTION;break;case 35:this.$=r.VerifyType.VERIFY_TEST;break;case 36:r.addElement(a[s-3]);break;case 37:r.setNewElementType(a[s-2]);break;case 38:r.setNewElementDocRef(a[s-2]);break;case 41:r.addRelationship(a[s-2],a[s],a[s-4]);break;case 42:r.addRelationship(a[s-2],a[s-4],a[s]);break;case 43:this.$=r.Relationships.CONTAINS;break;case 44:this.$=r.Relationships.COPIES;break;case 45:this.$=r.Relationships.DERIVES;break;case 46:this.$=r.Relationships.SATISFIES;break;case 47:this.$=r.Relationships.VERIFIES;break;case 48:this.$=r.Relationships.REFINES;break;case 49:this.$=r.Relationships.TRACES;}},table:[{3:1,4:2,6:e,9:4,14:n},{1:[3]},{3:7,4:2,5:[1,6],6:e,9:4,14:n},{5:[1,8]},{10:9,15:[1,10]},{15:[2,6]},{3:11,4:2,6:e,9:4,14:n},{1:[2,2]},{4:16,5:r,7:12,8:i,9:4,14:n,18:13,19:14,20:15,21:18,27:20,35:a,36:o,37:s,38:l,39:c,40:u,48:h,66:f,67:d},{11:29,12:[1,30],17:p},t([12,17],[2,7]),{1:[2,1]},{8:[1,32]},{4:16,5:r,7:33,8:i,9:4,14:n,18:13,19:14,20:15,21:18,27:20,35:a,36:o,37:s,38:l,39:c,40:u,48:h,66:f,67:d},{4:16,5:r,7:34,8:i,9:4,14:n,18:13,19:14,20:15,21:18,27:20,35:a,36:o,37:s,38:l,39:c,40:u,48:h,66:f,67:d},{4:16,5:r,7:35,8:i,9:4,14:n,18:13,19:14,20:15,21:18,27:20,35:a,36:o,37:s,38:l,39:c,40:u,48:h,66:f,67:d},{4:16,5:r,7:36,8:i,9:4,14:n,18:13,19:14,20:15,21:18,27:20,35:a,36:o,37:s,38:l,39:c,40:u,48:h,66:f,67:d},{4:16,5:r,7:37,8:i,9:4,14:n,18:13,19:14,20:15,21:18,27:20,35:a,36:o,37:s,38:l,39:c,40:u,48:h,66:f,67:d},{22:38,66:[1,39],67:[1,40]},{49:41,66:[1,42],67:[1,43]},{55:[1,44],57:[1,45]},t(m,[2,23]),t(m,[2,24]),t(m,[2,25]),t(m,[2,26]),t(m,[2,27]),t(m,[2,28]),t(g,[2,52]),t(g,[2,53]),t(y,[2,4]),{13:46,16:[1,47]},t(y,[2,9]),{1:[2,3]},{8:[2,11]},{8:[2,12]},{8:[2,13]},{8:[2,14]},{8:[2,15]},{23:[1,48]},{23:[2,50]},{23:[2,51]},{23:[1,49]},{23:[2,56]},{23:[2,57]},{56:50,59:v,60:b,61:_,62:x,63:w,64:k,65:S},{56:58,59:v,60:b,61:_,62:x,63:w,64:k,65:S},{11:59,17:p},{17:[2,8]},{5:[1,60]},{5:[1,61]},{57:[1,62]},t(C,[2,43]),t(C,[2,44]),t(C,[2,45]),t(C,[2,46]),t(C,[2,47]),t(C,[2,48]),t(C,[2,49]),{58:[1,63]},t(y,[2,5]),{5:M,24:64,25:T,28:A,30:E,32:N,34:D},{5:O,34:I,50:71,51:L,53:B},{27:76,66:f,67:d},{27:77,66:f,67:d},t(R,[2,16]),{26:[1,78]},{26:[1,79]},{26:[1,80]},{26:[1,81]},{5:M,24:82,25:T,28:A,30:E,32:N,34:D},t(R,[2,22]),t(R,[2,36]),{26:[1,83]},{26:[1,84]},{5:O,34:I,50:85,51:L,53:B},t(R,[2,40]),t(R,[2,41]),t(R,[2,42]),{27:86,66:f,67:d},{29:87,66:[1,88],67:[1,89]},{31:90,41:[1,91],42:[1,92],43:[1,93]},{33:94,44:[1,95],45:[1,96],46:[1,97],47:[1,98]},t(R,[2,21]),{52:99,66:[1,100],67:[1,101]},{54:102,66:[1,103],67:[1,104]},t(R,[2,39]),{5:[1,105]},{5:[1,106]},{5:[2,54]},{5:[2,55]},{5:[1,107]},{5:[2,29]},{5:[2,30]},{5:[2,31]},{5:[1,108]},{5:[2,32]},{5:[2,33]},{5:[2,34]},{5:[2,35]},{5:[1,109]},{5:[2,58]},{5:[2,59]},{5:[1,110]},{5:[2,60]},{5:[2,61]},{5:M,24:111,25:T,28:A,30:E,32:N,34:D},{5:M,24:112,25:T,28:A,30:E,32:N,34:D},{5:M,24:113,25:T,28:A,30:E,32:N,34:D},{5:M,24:114,25:T,28:A,30:E,32:N,34:D},{5:O,34:I,50:115,51:L,53:B},{5:O,34:I,50:116,51:L,53:B},t(R,[2,17]),t(R,[2,18]),t(R,[2,19]),t(R,[2,20]),t(R,[2,37]),t(R,[2,38])],defaultActions:{5:[2,6],7:[2,2],11:[2,1],32:[2,3],33:[2,11],34:[2,12],35:[2,13],36:[2,14],37:[2,15],39:[2,50],40:[2,51],42:[2,56],43:[2,57],47:[2,8],88:[2,54],89:[2,55],91:[2,29],92:[2,30],93:[2,31],95:[2,32],96:[2,33],97:[2,34],98:[2,35],100:[2,58],101:[2,59],103:[2,60],104:[2,61]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n;}this.trace(t);},parse:function(t){var e=this,n=[0],r=[],i=[null],a=[],o=this.table,s=\"\",l=0,c=0,u=0,h=2,f=1,d=a.slice.call(arguments,1),p=Object.create(this.lexer),m={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(m.yy[g]=this.yy[g]);p.setInput(t,m.yy),m.yy.lexer=p,m.yy.parser=this,void 0===p.yylloc&&(p.yylloc={});var y=p.yylloc;a.push(y);var v=p.options&&p.options.ranges;function b(){var t;return\"number\"!=typeof(t=r.pop()||p.lex()||f)&&(t instanceof Array&&(t=(r=t).pop()),t=e.symbols_[t]||t),t;}\"function\"==typeof m.yy.parseError?this.parseError=m.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var _,x,w,k,S,C,M,T,A,E={};;){if(w=n[n.length-1],this.defaultActions[w]?k=this.defaultActions[w]:(null==_&&(_=b()),k=o[w]&&o[w][_]),void 0===k||!k.length||!k[0]){var N=\"\";for(C in A=[],o[w])this.terminals_[C]&&C>h&&A.push(\"'\"+this.terminals_[C]+\"'\");N=p.showPosition?\"Parse error on line \"+(l+1)+\":\\n\"+p.showPosition()+\"\\nExpecting \"+A.join(\", \")+\", got '\"+(this.terminals_[_]||_)+\"'\":\"Parse error on line \"+(l+1)+\": Unexpected \"+(_==f?\"end of input\":\"'\"+(this.terminals_[_]||_)+\"'\"),this.parseError(N,{text:p.match,token:this.terminals_[_]||_,line:p.yylineno,loc:y,expected:A});}if(k[0]instanceof Array&&k.length>1)throw new Error(\"Parse Error: multiple actions possible at state: \"+w+\", token: \"+_);switch(k[0]){case 1:n.push(_),i.push(p.yytext),a.push(p.yylloc),n.push(k[1]),_=null,x?(_=x,x=null):(c=p.yyleng,s=p.yytext,l=p.yylineno,y=p.yylloc,u>0&&u--);break;case 2:if(M=this.productions_[k[1]][1],E.$=i[i.length-M],E._$={first_line:a[a.length-(M||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(M||1)].first_column,last_column:a[a.length-1].last_column},v&&(E._$.range=[a[a.length-(M||1)].range[0],a[a.length-1].range[1]]),void 0!==(S=this.performAction.apply(E,[s,c,l,m.yy,k[1],i,a].concat(d))))return S;M&&(n=n.slice(0,-1*M*2),i=i.slice(0,-1*M),a=a.slice(0,-1*M)),n.push(this.productions_[k[1]][0]),i.push(E.$),a.push(E._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0;}}return!0;}},P={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e);},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match=\"\",this.conditionStack=[\"INITIAL\"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this;},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\\r\\n?|\\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t;},unput:function(t){var e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},less:function(t){this.unput(this.match.slice(t));},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?\"...\":\"\")+t.substr(-20).replace(/\\n/g,\"\");},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?\"...\":\"\")).replace(/\\n/g,\"\");},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join(\"-\");return t+this.upcomingInput()+\"\\n\"+e+\"^\";},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\\r\\n?|\\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\\r?\\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1;}return!1;},next:function(){if(this.done)return this.EOF;var t,e,n,r;this._input||(this.done=!0),this._more||(this.yytext=\"\",this.match=\"\");for(var i=this._currentRules(),a=0;a<i.length;a++)if((n=this._input.match(this.rules[i[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[a])))return t;if(this._backtrack){e=!1;continue;}return!1;}if(!this.options.flex)break;}return e?!1!==(t=this.test_match(e,i[r]))&&t:\"\"===this._input?this.EOF:this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". Unrecognized text.\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},lex:function(){return this.next()||this.lex();},begin:function(t){this.conditionStack.push(t);},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0];},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules;},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:\"INITIAL\";},pushState:function(t){this.begin(t);},stateStackSize:function(){return this.conditionStack.length;},options:{\"case-insensitive\":!0},performAction:function(t,e,n,r){switch(n){case 0:return this.begin(\"open_directive\"),14;case 1:return this.begin(\"type_directive\"),15;case 2:return this.popState(),this.begin(\"arg_directive\"),12;case 3:return this.popState(),this.popState(),17;case 4:return 16;case 5:return 5;case 6:case 7:case 8:break;case 9:return 8;case 10:return 6;case 11:return 23;case 12:return 34;case 13:return 26;case 14:return 25;case 15:return 28;case 16:return 30;case 17:return 32;case 18:return 35;case 19:return 36;case 20:return 37;case 21:return 38;case 22:return 39;case 23:return 40;case 24:return 41;case 25:return 42;case 26:return 43;case 27:return 44;case 28:return 45;case 29:return 46;case 30:return 47;case 31:return 48;case 32:return 59;case 33:return 60;case 34:return 61;case 35:return 62;case 36:return 63;case 37:return 64;case 38:return 65;case 39:return 51;case 40:return 53;case 41:return 55;case 42:return 58;case 43:return 57;case 44:this.begin(\"string\");break;case 45:this.popState();break;case 46:return\"qString\";case 47:return e.yytext=e.yytext.trim(),66;}},rules:[/^(?:%%\\{)/i,/^(?:((?:(?!\\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\\}%%)/i,/^(?:((?:(?!\\}%%).|\\n)*))/i,/^(?:(\\r?\\n)+)/i,/^(?:\\s+)/i,/^(?:#[^\\n]*)/i,/^(?:%[^\\n]*)/i,/^(?:$)/i,/^(?:requirementDiagram\\b)/i,/^(?:\\{)/i,/^(?:\\})/i,/^(?::)/i,/^(?:id\\b)/i,/^(?:text\\b)/i,/^(?:risk\\b)/i,/^(?:verifyMethod\\b)/i,/^(?:requirement\\b)/i,/^(?:functionalRequirement\\b)/i,/^(?:interfaceRequirement\\b)/i,/^(?:performanceRequirement\\b)/i,/^(?:physicalRequirement\\b)/i,/^(?:designConstraint\\b)/i,/^(?:low\\b)/i,/^(?:medium\\b)/i,/^(?:high\\b)/i,/^(?:analysis\\b)/i,/^(?:demonstration\\b)/i,/^(?:inspection\\b)/i,/^(?:test\\b)/i,/^(?:element\\b)/i,/^(?:contains\\b)/i,/^(?:copies\\b)/i,/^(?:derives\\b)/i,/^(?:satisfies\\b)/i,/^(?:verifies\\b)/i,/^(?:refines\\b)/i,/^(?:traces\\b)/i,/^(?:type\\b)/i,/^(?:docref\\b)/i,/^(?:<-)/i,/^(?:->)/i,/^(?:-)/i,/^(?:[\"])/i,/^(?:[\"])/i,/^(?:[^\"]*)/i,/^(?:[\\w][^\\r\\n\\{\\<\\>\\-\\=]*)/i],conditions:{close_directive:{rules:[],inclusive:!1},arg_directive:{rules:[3,4],inclusive:!1},type_directive:{rules:[2,3],inclusive:!1},open_directive:{rules:[1],inclusive:!1},unqString:{rules:[],inclusive:!1},token:{rules:[],inclusive:!1},string:{rules:[45,46],inclusive:!1},INITIAL:{rules:[0,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,47],inclusive:!0}}};function F(){this.yy={};}return z.lexer=P,F.prototype=z,z.Parser=F,new F();}();n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments);},n.main=function(e){e[1]||(console.log(\"Usage: \"+e[0]+\" FILE\"),t.exit(1));var i=r(8800).readFileSync(r(6470).normalize(e[1]),\"utf8\");return n.parser.parse(i);},r.c[r.s]===e&&n.main(t.argv.slice(1));},6876:(e,n,r)=>{e=r.nmd(e);var i=function(){var t=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return 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s=a.length-1;switch(i){case 4:return r.apply(a[s]),a[s];case 5:case 9:this.$=[];break;case 6:a[s-1].push(a[s]),this.$=a[s-1];break;case 7:case 8:case 45:this.$=a[s];break;case 12:a[s-3].type=\"addParticipant\",a[s-3].description=r.parseMessage(a[s-1]),this.$=a[s-3];break;case 13:a[s-1].type=\"addParticipant\",this.$=a[s-1];break;case 14:a[s-3].type=\"addActor\",a[s-3].description=r.parseMessage(a[s-1]),this.$=a[s-3];break;case 15:a[s-1].type=\"addActor\",this.$=a[s-1];break;case 17:r.enableSequenceNumbers();break;case 18:this.$={type:\"activeStart\",signalType:r.LINETYPE.ACTIVE_START,actor:a[s-1]};break;case 19:this.$={type:\"activeEnd\",signalType:r.LINETYPE.ACTIVE_END,actor:a[s-1]};break;case 25:this.$=[{type:\"setTitle\",text:a[s-1]}];break;case 26:a[s-1].unshift({type:\"loopStart\",loopText:r.parseMessage(a[s-2]),signalType:r.LINETYPE.LOOP_START}),a[s-1].push({type:\"loopEnd\",loopText:a[s-2],signalType:r.LINETYPE.LOOP_END}),this.$=a[s-1];break;case 27:a[s-1].unshift({type:\"rectStart\",color:r.parseMessage(a[s-2]),signalType:r.LINETYPE.RECT_START}),a[s-1].push({type:\"rectEnd\",color:r.parseMessage(a[s-2]),signalType:r.LINETYPE.RECT_END}),this.$=a[s-1];break;case 28:a[s-1].unshift({type:\"optStart\",optText:r.parseMessage(a[s-2]),signalType:r.LINETYPE.OPT_START}),a[s-1].push({type:\"optEnd\",optText:r.parseMessage(a[s-2]),signalType:r.LINETYPE.OPT_END}),this.$=a[s-1];break;case 29:a[s-1].unshift({type:\"altStart\",altText:r.parseMessage(a[s-2]),signalType:r.LINETYPE.ALT_START}),a[s-1].push({type:\"altEnd\",signalType:r.LINETYPE.ALT_END}),this.$=a[s-1];break;case 30:a[s-1].unshift({type:\"parStart\",parText:r.parseMessage(a[s-2]),signalType:r.LINETYPE.PAR_START}),a[s-1].push({type:\"parEnd\",signalType:r.LINETYPE.PAR_END}),this.$=a[s-1];break;case 33:this.$=a[s-3].concat([{type:\"and\",parText:r.parseMessage(a[s-1]),signalType:r.LINETYPE.PAR_AND},a[s]]);break;case 35:this.$=a[s-3].concat([{type:\"else\",altText:r.parseMessage(a[s-1]),signalType:r.LINETYPE.ALT_ELSE},a[s]]);break;case 36:this.$=[a[s-1],{type:\"addNote\",placement:a[s-2],actor:a[s-1].actor,text:a[s]}];break;case 37:a[s-2]=[].concat(a[s-1],a[s-1]).slice(0,2),a[s-2][0]=a[s-2][0].actor,a[s-2][1]=a[s-2][1].actor,this.$=[a[s-1],{type:\"addNote\",placement:r.PLACEMENT.OVER,actor:a[s-2].slice(0,2),text:a[s]}];break;case 38:this.$=[a[s-1],{type:\"addLinks\",actor:a[s-1].actor,text:a[s]}];break;case 39:this.$=[a[s-1],{type:\"addALink\",actor:a[s-1].actor,text:a[s]}];break;case 40:this.$=[a[s-1],{type:\"addProperties\",actor:a[s-1].actor,text:a[s]}];break;case 41:this.$=[a[s-1],{type:\"addDetails\",actor:a[s-1].actor,text:a[s]}];break;case 44:this.$=[a[s-2],a[s]];break;case 46:this.$=r.PLACEMENT.LEFTOF;break;case 47:this.$=r.PLACEMENT.RIGHTOF;break;case 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61:r.parseDirective(\"%%{\",\"open_directive\");break;case 62:r.parseDirective(a[s],\"type_directive\");break;case 63:a[s]=a[s].trim().replace(/'/g,'\"'),r.parseDirective(a[s],\"arg_directive\");break;case 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e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},less:function(t){this.unput(this.match.slice(t));},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?\"...\":\"\")+t.substr(-20).replace(/\\n/g,\"\");},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?\"...\":\"\")).replace(/\\n/g,\"\");},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join(\"-\");return t+this.upcomingInput()+\"\\n\"+e+\"^\";},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\\r\\n?|\\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\\r?\\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1;}return!1;},next:function(){if(this.done)return this.EOF;var t,e,n,r;this._input||(this.done=!0),this._more||(this.yytext=\"\",this.match=\"\");for(var i=this._currentRules(),a=0;a<i.length;a++)if((n=this._input.match(this.rules[i[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[a])))return t;if(this._backtrack){e=!1;continue;}return!1;}if(!this.options.flex)break;}return e?!1!==(t=this.test_match(e,i[r]))&&t:\"\"===this._input?this.EOF:this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". Unrecognized text.\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},lex:function(){return this.next()||this.lex();},begin:function(t){this.conditionStack.push(t);},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0];},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules;},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:\"INITIAL\";},pushState:function(t){this.begin(t);},stateStackSize:function(){return this.conditionStack.length;},options:{\"case-insensitive\":!0},performAction:function(t,e,n,r){switch(n){case 0:return this.begin(\"open_directive\"),67;case 1:return this.begin(\"type_directive\"),68;case 2:return this.popState(),this.begin(\"arg_directive\"),14;case 3:return this.popState(),this.popState(),70;case 4:return 69;case 5:case 39:case 52:return 5;case 6:case 7:case 8:case 9:case 10:break;case 11:return this.begin(\"ID\"),16;case 12:return this.begin(\"ID\"),20;case 13:return e.yytext=e.yytext.trim(),this.begin(\"ALIAS\"),57;case 14:return this.popState(),this.popState(),this.begin(\"LINE\"),18;case 15:return this.popState(),this.popState(),5;case 16:return this.begin(\"LINE\"),32;case 17:return this.begin(\"LINE\"),34;case 18:return this.begin(\"LINE\"),35;case 19:return this.begin(\"LINE\"),36;case 20:return this.begin(\"LINE\"),41;case 21:return this.begin(\"LINE\"),38;case 22:return this.begin(\"LINE\"),40;case 23:return this.popState(),19;case 24:return 33;case 25:return 52;case 26:return 53;case 27:return 46;case 28:return 47;case 29:return 48;case 30:return 49;case 31:return 44;case 32:return 42;case 33:return this.begin(\"ID\"),23;case 34:return this.begin(\"ID\"),24;case 35:return 30;case 36:return 7;case 37:return 22;case 38:return 51;case 40:return e.yytext=e.yytext.trim(),57;case 41:return 60;case 42:return 61;case 43:return 58;case 44:return 59;case 45:return 62;case 46:return 63;case 47:return 64;case 48:return 65;case 49:return 66;case 50:return 55;case 51:return 56;case 53:return\"INVALID\";}},rules:[/^(?:%%\\{)/i,/^(?:((?:(?!\\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\\}%%)/i,/^(?:((?:(?!\\}%%).|\\n)*))/i,/^(?:[\\n]+)/i,/^(?:\\s+)/i,/^(?:((?!\\n)\\s)+)/i,/^(?:#[^\\n]*)/i,/^(?:%(?!\\{)[^\\n]*)/i,/^(?:[^\\}]%%[^\\n]*)/i,/^(?:participant\\b)/i,/^(?:actor\\b)/i,/^(?:[^\\->:\\n,;]+?(?=((?!\\n)\\s)+as(?!\\n)\\s|[#\\n;]|$))/i,/^(?:as\\b)/i,/^(?:(?:))/i,/^(?:loop\\b)/i,/^(?:rect\\b)/i,/^(?:opt\\b)/i,/^(?:alt\\b)/i,/^(?:else\\b)/i,/^(?:par\\b)/i,/^(?:and\\b)/i,/^(?:(?:[:]?(?:no)?wrap)?[^#\\n;]*)/i,/^(?:end\\b)/i,/^(?:left of\\b)/i,/^(?:right of\\b)/i,/^(?:links\\b)/i,/^(?:link\\b)/i,/^(?:properties\\b)/i,/^(?:details\\b)/i,/^(?:over\\b)/i,/^(?:note\\b)/i,/^(?:activate\\b)/i,/^(?:deactivate\\b)/i,/^(?:title\\b)/i,/^(?:sequenceDiagram\\b)/i,/^(?:autonumber\\b)/i,/^(?:,)/i,/^(?:;)/i,/^(?:[^\\+\\->:\\n,;]+((?!(-x|--x|-\\)|--\\)))[\\-]*[^\\+\\->:\\n,;]+)*)/i,/^(?:->>)/i,/^(?:-->>)/i,/^(?:->)/i,/^(?:-->)/i,/^(?:-[x])/i,/^(?:--[x])/i,/^(?:-[\\)])/i,/^(?:--[\\)])/i,/^(?::(?:(?:no)?wrap)?[^#\\n;]+)/i,/^(?:\\+)/i,/^(?:-)/i,/^(?:$)/i,/^(?:.)/i],conditions:{open_directive:{rules:[1,8],inclusive:!1},type_directive:{rules:[2,3,8],inclusive:!1},arg_directive:{rules:[3,4,8],inclusive:!1},ID:{rules:[7,8,13],inclusive:!1},ALIAS:{rules:[7,8,14,15],inclusive:!1},LINE:{rules:[7,8,23],inclusive:!1},INITIAL:{rules:[0,5,6,8,9,10,11,12,16,17,18,19,20,21,22,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53],inclusive:!0}}};function B(){this.yy={};}return I.lexer=L,B.prototype=I,I.Parser=B,new B();}();n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments);},n.main=function(e){e[1]||(console.log(\"Usage: \"+e[0]+\" FILE\"),t.exit(1));var i=r(1993).readFileSync(r(6470).normalize(e[1]),\"utf8\");return n.parser.parse(i);},r.c[r.s]===e&&n.main(t.argv.slice(1));},3584:(e,n,r)=>{e=r.nmd(e);var i=function(){var t=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return n;},e=[1,2],n=[1,3],r=[1,5],i=[1,7],a=[2,5],o=[1,15],s=[1,17],l=[1,19],c=[1,20],u=[1,21],h=[1,22],f=[1,30],d=[1,23],p=[1,24],m=[1,25],g=[1,26],y=[1,27],v=[1,32],b=[1,33],_=[1,34],x=[1,35],w=[1,31],k=[1,38],S=[1,4,5,14,15,17,19,20,22,23,24,25,26,27,36,37,38,39,42,45],C=[1,4,5,12,13,14,15,17,19,20,22,23,24,25,26,27,36,37,38,39,42,45],M=[1,4,5,7,14,15,17,19,20,22,23,24,25,26,27,36,37,38,39,42,45],T=[4,5,14,15,17,19,20,22,23,24,25,26,27,36,37,38,39,42,45],A={trace:function(){},yy:{},symbols_:{error:2,start:3,SPACE:4,NL:5,directive:6,SD:7,document:8,line:9,statement:10,idStatement:11,DESCR:12,\"--\\x3e\":13,HIDE_EMPTY:14,scale:15,WIDTH:16,COMPOSIT_STATE:17,STRUCT_START:18,STRUCT_STOP:19,STATE_DESCR:20,AS:21,ID:22,FORK:23,JOIN:24,CHOICE:25,CONCURRENT:26,note:27,notePosition:28,NOTE_TEXT:29,direction:30,openDirective:31,typeDirective:32,closeDirective:33,\":\":34,argDirective:35,direction_tb:36,direction_bt:37,direction_rl:38,direction_lr:39,eol:40,\";\":41,EDGE_STATE:42,left_of:43,right_of:44,open_directive:45,type_directive:46,arg_directive:47,close_directive:48,$accept:0,$end:1},terminals_:{2:\"error\",4:\"SPACE\",5:\"NL\",7:\"SD\",12:\"DESCR\",13:\"--\\x3e\",14:\"HIDE_EMPTY\",15:\"scale\",16:\"WIDTH\",17:\"COMPOSIT_STATE\",18:\"STRUCT_START\",19:\"STRUCT_STOP\",20:\"STATE_DESCR\",21:\"AS\",22:\"ID\",23:\"FORK\",24:\"JOIN\",25:\"CHOICE\",26:\"CONCURRENT\",27:\"note\",29:\"NOTE_TEXT\",34:\":\",36:\"direction_tb\",37:\"direction_bt\",38:\"direction_rl\",39:\"direction_lr\",41:\";\",42:\"EDGE_STATE\",43:\"left_of\",44:\"right_of\",45:\"open_directive\",46:\"type_directive\",47:\"arg_directive\",48:\"close_directive\"},productions_:[0,[3,2],[3,2],[3,2],[3,2],[8,0],[8,2],[9,2],[9,1],[9,1],[10,1],[10,2],[10,3],[10,4],[10,1],[10,2],[10,1],[10,4],[10,3],[10,6],[10,1],[10,1],[10,1],[10,1],[10,4],[10,4],[10,1],[10,1],[6,3],[6,5],[30,1],[30,1],[30,1],[30,1],[40,1],[40,1],[11,1],[11,1],[28,1],[28,1],[31,1],[32,1],[35,1],[33,1]],performAction:function(t,e,n,r,i,a,o){var s=a.length-1;switch(i){case 4:return r.setRootDoc(a[s]),a[s];case 5:this.$=[];break;case 6:\"nl\"!=a[s]&&(a[s-1].push(a[s]),this.$=a[s-1]);break;case 7:case 8:case 36:case 37:this.$=a[s];break;case 9:this.$=\"nl\";break;case 10:this.$={stmt:\"state\",id:a[s],type:\"default\",description:\"\"};break;case 11:this.$={stmt:\"state\",id:a[s-1],type:\"default\",description:r.trimColon(a[s])};break;case 12:this.$={stmt:\"relation\",state1:{stmt:\"state\",id:a[s-2],type:\"default\",description:\"\"},state2:{stmt:\"state\",id:a[s],type:\"default\",description:\"\"}};break;case 13:this.$={stmt:\"relation\",state1:{stmt:\"state\",id:a[s-3],type:\"default\",description:\"\"},state2:{stmt:\"state\",id:a[s-1],type:\"default\",description:\"\"},description:a[s].substr(1).trim()};break;case 17:this.$={stmt:\"state\",id:a[s-3],type:\"default\",description:\"\",doc:a[s-1]};break;case 18:var l=a[s],c=a[s-2].trim();if(a[s].match(\":\")){var u=a[s].split(\":\");l=u[0],c=[c,u[1]];}this.$={stmt:\"state\",id:l,type:\"default\",description:c};break;case 19:this.$={stmt:\"state\",id:a[s-3],type:\"default\",description:a[s-5],doc:a[s-1]};break;case 20:this.$={stmt:\"state\",id:a[s],type:\"fork\"};break;case 21:this.$={stmt:\"state\",id:a[s],type:\"join\"};break;case 22:this.$={stmt:\"state\",id:a[s],type:\"choice\"};break;case 23:this.$={stmt:\"state\",id:r.getDividerId(),type:\"divider\"};break;case 24:this.$={stmt:\"state\",id:a[s-1].trim(),note:{position:a[s-2].trim(),text:a[s].trim()}};break;case 30:r.setDirection(\"TB\"),this.$={stmt:\"dir\",value:\"TB\"};break;case 31:r.setDirection(\"BT\"),this.$={stmt:\"dir\",value:\"BT\"};break;case 32:r.setDirection(\"RL\"),this.$={stmt:\"dir\",value:\"RL\"};break;case 33:r.setDirection(\"LR\"),this.$={stmt:\"dir\",value:\"LR\"};break;case 40:r.parseDirective(\"%%{\",\"open_directive\");break;case 41:r.parseDirective(a[s],\"type_directive\");break;case 42:a[s]=a[s].trim().replace(/'/g,'\"'),r.parseDirective(a[s],\"arg_directive\");break;case 43:r.parseDirective(\"}%%\",\"close_directive\",\"state\");}},table:[{3:1,4:e,5:n,6:4,7:r,31:6,45:i},{1:[3]},{3:8,4:e,5:n,6:4,7:r,31:6,45:i},{3:9,4:e,5:n,6:4,7:r,31:6,45:i},{3:10,4:e,5:n,6:4,7:r,31:6,45:i},t([1,4,5,14,15,17,20,22,23,24,25,26,27,36,37,38,39,42,45],a,{8:11}),{32:12,46:[1,13]},{46:[2,40]},{1:[2,1]},{1:[2,2]},{1:[2,3]},{1:[2,4],4:o,5:s,6:28,9:14,10:16,11:18,14:l,15:c,17:u,20:h,22:f,23:d,24:p,25:m,26:g,27:y,30:29,31:6,36:v,37:b,38:_,39:x,42:w,45:i},{33:36,34:[1,37],48:k},t([34,48],[2,41]),t(S,[2,6]),{6:28,10:39,11:18,14:l,15:c,17:u,20:h,22:f,23:d,24:p,25:m,26:g,27:y,30:29,31:6,36:v,37:b,38:_,39:x,42:w,45:i},t(S,[2,8]),t(S,[2,9]),t(S,[2,10],{12:[1,40],13:[1,41]}),t(S,[2,14]),{16:[1,42]},t(S,[2,16],{18:[1,43]}),{21:[1,44]},t(S,[2,20]),t(S,[2,21]),t(S,[2,22]),t(S,[2,23]),{28:45,29:[1,46],43:[1,47],44:[1,48]},t(S,[2,26]),t(S,[2,27]),t(C,[2,36]),t(C,[2,37]),t(S,[2,30]),t(S,[2,31]),t(S,[2,32]),t(S,[2,33]),t(M,[2,28]),{35:49,47:[1,50]},t(M,[2,43]),t(S,[2,7]),t(S,[2,11]),{11:51,22:f,42:w},t(S,[2,15]),t(T,a,{8:52}),{22:[1,53]},{22:[1,54]},{21:[1,55]},{22:[2,38]},{22:[2,39]},{33:56,48:k},{48:[2,42]},t(S,[2,12],{12:[1,57]}),{4:o,5:s,6:28,9:14,10:16,11:18,14:l,15:c,17:u,19:[1,58],20:h,22:f,23:d,24:p,25:m,26:g,27:y,30:29,31:6,36:v,37:b,38:_,39:x,42:w,45:i},t(S,[2,18],{18:[1,59]}),{29:[1,60]},{22:[1,61]},t(M,[2,29]),t(S,[2,13]),t(S,[2,17]),t(T,a,{8:62}),t(S,[2,24]),t(S,[2,25]),{4:o,5:s,6:28,9:14,10:16,11:18,14:l,15:c,17:u,19:[1,63],20:h,22:f,23:d,24:p,25:m,26:g,27:y,30:29,31:6,36:v,37:b,38:_,39:x,42:w,45:i},t(S,[2,19])],defaultActions:{7:[2,40],8:[2,1],9:[2,2],10:[2,3],47:[2,38],48:[2,39],50:[2,42]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n;}this.trace(t);},parse:function(t){var e=this,n=[0],r=[],i=[null],a=[],o=this.table,s=\"\",l=0,c=0,u=0,h=2,f=1,d=a.slice.call(arguments,1),p=Object.create(this.lexer),m={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(m.yy[g]=this.yy[g]);p.setInput(t,m.yy),m.yy.lexer=p,m.yy.parser=this,void 0===p.yylloc&&(p.yylloc={});var y=p.yylloc;a.push(y);var v=p.options&&p.options.ranges;function b(){var t;return\"number\"!=typeof(t=r.pop()||p.lex()||f)&&(t instanceof Array&&(t=(r=t).pop()),t=e.symbols_[t]||t),t;}\"function\"==typeof m.yy.parseError?this.parseError=m.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var _,x,w,k,S,C,M,T,A,E={};;){if(w=n[n.length-1],this.defaultActions[w]?k=this.defaultActions[w]:(null==_&&(_=b()),k=o[w]&&o[w][_]),void 0===k||!k.length||!k[0]){var N=\"\";for(C in A=[],o[w])this.terminals_[C]&&C>h&&A.push(\"'\"+this.terminals_[C]+\"'\");N=p.showPosition?\"Parse error on line \"+(l+1)+\":\\n\"+p.showPosition()+\"\\nExpecting \"+A.join(\", \")+\", got '\"+(this.terminals_[_]||_)+\"'\":\"Parse error on line \"+(l+1)+\": Unexpected \"+(_==f?\"end of input\":\"'\"+(this.terminals_[_]||_)+\"'\"),this.parseError(N,{text:p.match,token:this.terminals_[_]||_,line:p.yylineno,loc:y,expected:A});}if(k[0]instanceof Array&&k.length>1)throw new Error(\"Parse Error: multiple actions possible at state: \"+w+\", token: \"+_);switch(k[0]){case 1:n.push(_),i.push(p.yytext),a.push(p.yylloc),n.push(k[1]),_=null,x?(_=x,x=null):(c=p.yyleng,s=p.yytext,l=p.yylineno,y=p.yylloc,u>0&&u--);break;case 2:if(M=this.productions_[k[1]][1],E.$=i[i.length-M],E._$={first_line:a[a.length-(M||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(M||1)].first_column,last_column:a[a.length-1].last_column},v&&(E._$.range=[a[a.length-(M||1)].range[0],a[a.length-1].range[1]]),void 0!==(S=this.performAction.apply(E,[s,c,l,m.yy,k[1],i,a].concat(d))))return S;M&&(n=n.slice(0,-1*M*2),i=i.slice(0,-1*M),a=a.slice(0,-1*M)),n.push(this.productions_[k[1]][0]),i.push(E.$),a.push(E._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0;}}return!0;}},E={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e);},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match=\"\",this.conditionStack=[\"INITIAL\"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this;},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\\r\\n?|\\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t;},unput:function(t){var e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},less:function(t){this.unput(this.match.slice(t));},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?\"...\":\"\")+t.substr(-20).replace(/\\n/g,\"\");},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?\"...\":\"\")).replace(/\\n/g,\"\");},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join(\"-\");return t+this.upcomingInput()+\"\\n\"+e+\"^\";},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),(r=t[0].match(/(?:\\r\\n?|\\n).*/g))&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\\r?\\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1;}return!1;},next:function(){if(this.done)return this.EOF;var t,e,n,r;this._input||(this.done=!0),this._more||(this.yytext=\"\",this.match=\"\");for(var i=this._currentRules(),a=0;a<i.length;a++)if((n=this._input.match(this.rules[i[a]]))&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(!1!==(t=this.test_match(n,i[a])))return t;if(this._backtrack){e=!1;continue;}return!1;}if(!this.options.flex)break;}return e?!1!==(t=this.test_match(e,i[r]))&&t:\"\"===this._input?this.EOF:this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". Unrecognized text.\\n\"+this.showPosition(),{text:\"\",token:null,line:this.yylineno});},lex:function(){return this.next()||this.lex();},begin:function(t){this.conditionStack.push(t);},popState:function(){return this.conditionStack.length-1>0?this.conditionStack.pop():this.conditionStack[0];},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules;},topState:function(t){return(t=this.conditionStack.length-1-Math.abs(t||0))>=0?this.conditionStack[t]:\"INITIAL\";},pushState:function(t){this.begin(t);},stateStackSize:function(){return this.conditionStack.length;},options:{\"case-insensitive\":!0},performAction:function(t,e,n,r){switch(n){case 0:case 26:return 36;case 1:case 27:return 37;case 2:case 28:return 38;case 3:case 29:return 39;case 4:return this.begin(\"open_directive\"),45;case 5:return this.begin(\"type_directive\"),46;case 6:return this.popState(),this.begin(\"arg_directive\"),34;case 7:return this.popState(),this.popState(),48;case 8:return 47;case 9:case 10:case 12:case 13:case 14:case 15:case 39:case 45:break;case 11:case 59:return 5;case 16:return this.pushState(\"SCALE\"),15;case 17:return 16;case 18:case 33:case 36:this.popState();break;case 19:this.pushState(\"STATE\");break;case 20:case 23:return this.popState(),e.yytext=e.yytext.slice(0,-8).trim(),23;case 21:case 24:return this.popState(),e.yytext=e.yytext.slice(0,-8).trim(),24;case 22:case 25:return this.popState(),e.yytext=e.yytext.slice(0,-10).trim(),25;case 30:this.begin(\"STATE_STRING\");break;case 31:return this.popState(),this.pushState(\"STATE_ID\"),\"AS\";case 32:case 47:return this.popState(),\"ID\";case 34:return\"STATE_DESCR\";case 35:return 17;case 37:return this.popState(),this.pushState(\"struct\"),18;case 38:return this.popState(),19;case 40:return this.begin(\"NOTE\"),27;case 41:return this.popState(),this.pushState(\"NOTE_ID\"),43;case 42:return this.popState(),this.pushState(\"NOTE_ID\"),44;case 43:this.popState(),this.pushState(\"FLOATING_NOTE\");break;case 44:return this.popState(),this.pushState(\"FLOATING_NOTE_ID\"),\"AS\";case 46:return\"NOTE_TEXT\";case 48:return this.popState(),this.pushState(\"NOTE_TEXT\"),22;case 49:return this.popState(),e.yytext=e.yytext.substr(2).trim(),29;case 50:return this.popState(),e.yytext=e.yytext.slice(0,-8).trim(),29;case 51:case 52:return 7;case 53:return 14;case 54:return 42;case 55:return 22;case 56:return e.yytext=e.yytext.trim(),12;case 57:return 13;case 58:return 26;case 60:return\"INVALID\";}},rules:[/^(?:.*direction\\s+TB[^\\n]*)/i,/^(?:.*direction\\s+BT[^\\n]*)/i,/^(?:.*direction\\s+RL[^\\n]*)/i,/^(?:.*direction\\s+LR[^\\n]*)/i,/^(?:%%\\{)/i,/^(?:((?:(?!\\}%%)[^:.])*))/i,/^(?::)/i,/^(?:\\}%%)/i,/^(?:((?:(?!\\}%%).|\\n)*))/i,/^(?:%%(?!\\{)[^\\n]*)/i,/^(?:[^\\}]%%[^\\n]*)/i,/^(?:[\\n]+)/i,/^(?:[\\s]+)/i,/^(?:((?!\\n)\\s)+)/i,/^(?:#[^\\n]*)/i,/^(?:%[^\\n]*)/i,/^(?:scale\\s+)/i,/^(?:\\d+)/i,/^(?:\\s+width\\b)/i,/^(?:state\\s+)/i,/^(?:.*<<fork>>)/i,/^(?:.*<<join>>)/i,/^(?:.*<<choice>>)/i,/^(?:.*\\[\\[fork\\]\\])/i,/^(?:.*\\[\\[join\\]\\])/i,/^(?:.*\\[\\[choice\\]\\])/i,/^(?:.*direction\\s+TB[^\\n]*)/i,/^(?:.*direction\\s+BT[^\\n]*)/i,/^(?:.*direction\\s+RL[^\\n]*)/i,/^(?:.*direction\\s+LR[^\\n]*)/i,/^(?:[\"])/i,/^(?:\\s*as\\s+)/i,/^(?:[^\\n\\{]*)/i,/^(?:[\"])/i,/^(?:[^\"]*)/i,/^(?:[^\\n\\s\\{]+)/i,/^(?:\\n)/i,/^(?:\\{)/i,/^(?:\\})/i,/^(?:[\\n])/i,/^(?:note\\s+)/i,/^(?:left of\\b)/i,/^(?:right of\\b)/i,/^(?:\")/i,/^(?:\\s*as\\s*)/i,/^(?:[\"])/i,/^(?:[^\"]*)/i,/^(?:[^\\n]*)/i,/^(?:\\s*[^:\\n\\s\\-]+)/i,/^(?:\\s*:[^:\\n;]+)/i,/^(?:[\\s\\S]*?end note\\b)/i,/^(?:stateDiagram\\s+)/i,/^(?:stateDiagram-v2\\s+)/i,/^(?:hide empty description\\b)/i,/^(?:\\[\\*\\])/i,/^(?:[^:\\n\\s\\-\\{]+)/i,/^(?:\\s*:[^:\\n;]+)/i,/^(?:-->)/i,/^(?:--)/i,/^(?:$)/i,/^(?:.)/i],conditions:{LINE:{rules:[13,14],inclusive:!1},close_directive:{rules:[13,14],inclusive:!1},arg_directive:{rules:[7,8,13,14],inclusive:!1},type_directive:{rules:[6,7,13,14],inclusive:!1},open_directive:{rules:[5,13,14],inclusive:!1},struct:{rules:[13,14,19,26,27,28,29,38,39,40,54,55,56,57,58],inclusive:!1},FLOATING_NOTE_ID:{rules:[47],inclusive:!1},FLOATING_NOTE:{rules:[44,45,46],inclusive:!1},NOTE_TEXT:{rules:[49,50],inclusive:!1},NOTE_ID:{rules:[48],inclusive:!1},NOTE:{rules:[41,42,43],inclusive:!1},SCALE:{rules:[17,18],inclusive:!1},ALIAS:{rules:[],inclusive:!1},STATE_ID:{rules:[32],inclusive:!1},STATE_STRING:{rules:[33,34],inclusive:!1},FORK_STATE:{rules:[],inclusive:!1},STATE:{rules:[13,14,20,21,22,23,24,25,30,31,35,36,37],inclusive:!1},ID:{rules:[13,14],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,9,10,11,12,14,15,16,19,37,40,51,52,53,54,55,56,57,59,60],inclusive:!0}}};function N(){this.yy={};}return A.lexer=E,N.prototype=A,A.Parser=N,new N();}();n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments);},n.main=function(e){e[1]||(console.log(\"Usage: \"+e[0]+\" FILE\"),t.exit(1));var i=r(3069).readFileSync(r(6470).normalize(e[1]),\"utf8\");return n.parser.parse(i);},r.c[r.s]===e&&n.main(t.argv.slice(1));},9763:(e,n,r)=>{e=r.nmd(e);var i=function(){var t=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return n;},e=[1,2],n=[1,5],r=[6,9,11,17,18,19,21],i=[1,15],a=[1,16],o=[1,17],s=[1,21],l=[4,6,9,11,17,18,19,21],c={trace:function(){},yy:{},symbols_:{error:2,start:3,journey:4,document:5,EOF:6,directive:7,line:8,SPACE:9,statement:10,NEWLINE:11,openDirective:12,typeDirective:13,closeDirective:14,\":\":15,argDirective:16,title:17,section:18,taskName:19,taskData:20,open_directive:21,type_directive:22,arg_directive:23,close_directive:24,$accept:0,$end:1},terminals_:{2:\"error\",4:\"journey\",6:\"EOF\",9:\"SPACE\",11:\"NEWLINE\",15:\":\",17:\"title\",18:\"section\",19:\"taskName\",20:\"taskData\",21:\"open_directive\",22:\"type_directive\",23:\"arg_directive\",24:\"close_directive\"},productions_:[0,[3,3],[3,2],[5,0],[5,2],[8,2],[8,1],[8,1],[8,1],[7,4],[7,6],[10,1],[10,1],[10,2],[10,1],[12,1],[13,1],[16,1],[14,1]],performAction:function(t,e,n,r,i,a,o){var s=a.length-1;switch(i){case 1:return a[s-1];case 3:case 7:case 8:this.$=[];break;case 4:a[s-1].push(a[s]),this.$=a[s-1];break;case 5:case 6:this.$=a[s];break;case 11:r.setTitle(a[s].substr(6)),this.$=a[s].substr(6);break;case 12:r.addSection(a[s].substr(8)),this.$=a[s].substr(8);break;case 13:r.addTask(a[s-1],a[s]),this.$=\"task\";break;case 15:r.parseDirective(\"%%{\",\"open_directive\");break;case 16:r.parseDirective(a[s],\"type_directive\");break;case 17:a[s]=a[s].trim().replace(/'/g,'\"'),r.parseDirective(a[s],\"arg_directive\");break;case 18:r.parseDirective(\"}%%\",\"close_directive\",\"journey\");}},table:[{3:1,4:e,7:3,12:4,21:n},{1:[3]},t(r,[2,3],{5:6}),{3:7,4:e,7:3,12:4,21:n},{13:8,22:[1,9]},{22:[2,15]},{6:[1,10],7:18,8:11,9:[1,12],10:13,11:[1,14],12:4,17:i,18:a,19:o,21:n},{1:[2,2]},{14:19,15:[1,20],24:s},t([15,24],[2,16]),t(r,[2,8],{1:[2,1]}),t(r,[2,4]),{7:18,10:22,12:4,17:i,18:a,19:o,21:n},t(r,[2,6]),t(r,[2,7]),t(r,[2,11]),t(r,[2,12]),{20:[1,23]},t(r,[2,14]),{11:[1,24]},{16:25,23:[1,26]},{11:[2,18]},t(r,[2,5]),t(r,[2,13]),t(l,[2,9]),{14:27,24:s},{24:[2,17]},{11:[1,28]},t(l,[2,10])],defaultActions:{5:[2,15],7:[2,2],21:[2,18],26:[2,17]},parseError:function(t,e){if(!e.recoverable){var n=new Error(t);throw n.hash=e,n;}this.trace(t);},parse:function(t){var e=this,n=[0],r=[],i=[null],a=[],o=this.table,s=\"\",l=0,c=0,u=0,h=2,f=1,d=a.slice.call(arguments,1),p=Object.create(this.lexer),m={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(m.yy[g]=this.yy[g]);p.setInput(t,m.yy),m.yy.lexer=p,m.yy.parser=this,void 0===p.yylloc&&(p.yylloc={});var y=p.yylloc;a.push(y);var v=p.options&&p.options.ranges;function b(){var t;return\"number\"!=typeof(t=r.pop()||p.lex()||f)&&(t instanceof Array&&(t=(r=t).pop()),t=e.symbols_[t]||t),t;}\"function\"==typeof m.yy.parseError?this.parseError=m.yy.parseError:this.parseError=Object.getPrototypeOf(this).parseError;for(var _,x,w,k,S,C,M,T,A,E={};;){if(w=n[n.length-1],this.defaultActions[w]?k=this.defaultActions[w]:(null==_&&(_=b()),k=o[w]&&o[w][_]),void 0===k||!k.length||!k[0]){var N=\"\";for(C in A=[],o[w])this.terminals_[C]&&C>h&&A.push(\"'\"+this.terminals_[C]+\"'\");N=p.showPosition?\"Parse error on line \"+(l+1)+\":\\n\"+p.showPosition()+\"\\nExpecting \"+A.join(\", \")+\", got '\"+(this.terminals_[_]||_)+\"'\":\"Parse error on line \"+(l+1)+\": Unexpected \"+(_==f?\"end of input\":\"'\"+(this.terminals_[_]||_)+\"'\"),this.parseError(N,{text:p.match,token:this.terminals_[_]||_,line:p.yylineno,loc:y,expected:A});}if(k[0]instanceof Array&&k.length>1)throw new Error(\"Parse Error: multiple actions possible at state: \"+w+\", token: \"+_);switch(k[0]){case 1:n.push(_),i.push(p.yytext),a.push(p.yylloc),n.push(k[1]),_=null,x?(_=x,x=null):(c=p.yyleng,s=p.yytext,l=p.yylineno,y=p.yylloc,u>0&&u--);break;case 2:if(M=this.productions_[k[1]][1],E.$=i[i.length-M],E._$={first_line:a[a.length-(M||1)].first_line,last_line:a[a.length-1].last_line,first_column:a[a.length-(M||1)].first_column,last_column:a[a.length-1].last_column},v&&(E._$.range=[a[a.length-(M||1)].range[0],a[a.length-1].range[1]]),void 0!==(S=this.performAction.apply(E,[s,c,l,m.yy,k[1],i,a].concat(d))))return S;M&&(n=n.slice(0,-1*M*2),i=i.slice(0,-1*M),a=a.slice(0,-1*M)),n.push(this.productions_[k[1]][0]),i.push(E.$),a.push(E._$),T=o[n[n.length-2]][n[n.length-1]],n.push(T);break;case 3:return!0;}}return!0;}},u={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e);},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match=\"\",this.conditionStack=[\"INITIAL\"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this;},input:function(){var t=this._input[0];return this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t,t.match(/(?:\\r\\n?|\\n).*/g)?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t;},unput:function(t){var e=t.length,n=t.split(/(?:\\r\\n?|\\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\\r\\n?|\\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this;},more:function(){return this._more=!0,this;},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError(\"Lexical error on line \"+(this.yylineno+1)+\". 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primaryColor,{h:128}),this.fillType7=this.fillType7||(0,Hy.adjust)(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||(0,Hy.adjust)(this.primaryColor,{l:-10}),this.pie5=this.pie5||(0,Hy.adjust)(this.secondaryColor,{l:-10}),this.pie6=this.pie6||(0,Hy.adjust)(this.tertiaryColor,{l:-10}),this.pie7=this.pie7||(0,Hy.adjust)(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||(0,Hy.adjust)(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||(0,Hy.adjust)(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||(0,Hy.adjust)(this.primaryColor,{h:60,l:-20}),this.pie11=this.pie11||(0,Hy.adjust)(this.primaryColor,{h:-60,l:-20}),this.pie12=this.pie12||(0,Hy.adjust)(this.primaryColor,{h:120,l:-10}),this.pieTitleTextSize=this.pieTitleTextSize||\"25px\",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||\"17px\",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||\"17px\",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||\"black\",this.pieStrokeWidth=this.pieStrokeWidth||\"2px\",this.pieOpacity=this.pieOpacity||\"0.7\",this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||this.primaryBorderColor,this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,Hy.darken)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor;}},{key:\"calculate\",value:function(t){var e=this;if(\"object\"===Yy(t)){var n=Object.keys(t);n.forEach(function(n){e[n]=t[n];}),this.updateColors(),n.forEach(function(n){e[n]=t[n];});}else this.updateColors();}}],n&&$y(e.prototype,n),Object.defineProperty(e,\"prototype\",{writable:!1}),t;}();function Wy(t){return Wy=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(t){return typeof t;}:function(t){return t&&\"function\"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t;},Wy(t);}function Xy(t,e){for(var n=0;n<e.length;n++){var r=e[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(t,r.key,r);}}var Zy=function(){function t(){!function(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\");}(this,t),this.background=\"#333\",this.primaryColor=\"#1f2020\",this.secondaryColor=(0,Hy.lighten)(this.primaryColor,16),this.tertiaryColor=(0,Hy.adjust)(this.primaryColor,{h:-160}),this.primaryBorderColor=Vy(this.primaryColor,this.darkMode),this.secondaryBorderColor=Vy(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=Vy(this.tertiaryColor,this.darkMode),this.primaryTextColor=(0,Hy.invert)(this.primaryColor),this.secondaryTextColor=(0,Hy.invert)(this.secondaryColor),this.tertiaryTextColor=(0,Hy.invert)(this.tertiaryColor),this.lineColor=(0,Hy.invert)(this.background),this.textColor=(0,Hy.invert)(this.background),this.mainBkg=\"#1f2020\",this.secondBkg=\"calculated\",this.mainContrastColor=\"lightgrey\",this.darkTextColor=(0,Hy.lighten)((0,Hy.invert)(\"#323D47\"),10),this.lineColor=\"calculated\",this.border1=\"#81B1DB\",this.border2=(0,Hy.rgba)(255,255,255,.25),this.arrowheadColor=\"calculated\",this.fontFamily='\"trebuchet ms\", verdana, arial, sans-serif',this.fontSize=\"16px\",this.labelBackground=\"#181818\",this.textColor=\"#ccc\",this.nodeBkg=\"calculated\",this.nodeBorder=\"calculated\",this.clusterBkg=\"calculated\",this.clusterBorder=\"calculated\",this.defaultLinkColor=\"calculated\",this.titleColor=\"#F9FFFE\",this.edgeLabelBackground=\"calculated\",this.actorBorder=\"calculated\",this.actorBkg=\"calculated\",this.actorTextColor=\"calculated\",this.actorLineColor=\"calculated\",this.signalColor=\"calculated\",this.signalTextColor=\"calculated\",this.labelBoxBkgColor=\"calculated\",this.labelBoxBorderColor=\"calculated\",this.labelTextColor=\"calculated\",this.loopTextColor=\"calculated\",this.noteBorderColor=\"calculated\",this.noteBkgColor=\"#fff5ad\",this.noteTextColor=\"calculated\",this.activationBorderColor=\"calculated\",this.activationBkgColor=\"calculated\",this.sequenceNumberColor=\"black\",this.sectionBkgColor=(0,Hy.darken)(\"#EAE8D9\",30),this.altSectionBkgColor=\"calculated\",this.sectionBkgColor2=\"#EAE8D9\",this.taskBorderColor=(0,Hy.rgba)(255,255,255,70),this.taskBkgColor=\"calculated\",this.taskTextColor=\"calculated\",this.taskTextLightColor=\"calculated\",this.taskTextOutsideColor=\"calculated\",this.taskTextClickableColor=\"#003163\",this.activeTaskBorderColor=(0,Hy.rgba)(255,255,255,50),this.activeTaskBkgColor=\"#81B1DB\",this.gridColor=\"calculated\",this.doneTaskBkgColor=\"calculated\",this.doneTaskBorderColor=\"grey\",this.critBorderColor=\"#E83737\",this.critBkgColor=\"#E83737\",this.taskTextDarkColor=\"calculated\",this.todayLineColor=\"#DB5757\",this.labelColor=\"calculated\",this.errorBkgColor=\"#a44141\",this.errorTextColor=\"#ddd\";}var e,n;return e=t,n=[{key:\"updateColors\",value:function(){this.secondBkg=(0,Hy.lighten)(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=(0,Hy.lighten)(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.mainContrastColor,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=(0,Hy.lighten)(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||\"#555\",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=\"#f4f4f4\",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=(0,Hy.adjust)(this.primaryColor,{h:64}),this.fillType3=(0,Hy.adjust)(this.secondaryColor,{h:64}),this.fillType4=(0,Hy.adjust)(this.primaryColor,{h:-64}),this.fillType5=(0,Hy.adjust)(this.secondaryColor,{h:-64}),this.fillType6=(0,Hy.adjust)(this.primaryColor,{h:128}),this.fillType7=(0,Hy.adjust)(this.secondaryColor,{h:128}),this.pie1=this.pie1||\"#0b0000\",this.pie2=this.pie2||\"#4d1037\",this.pie3=this.pie3||\"#3f5258\",this.pie4=this.pie4||\"#4f2f1b\",this.pie5=this.pie5||\"#6e0a0a\",this.pie6=this.pie6||\"#3b0048\",this.pie7=this.pie7||\"#995a01\",this.pie8=this.pie8||\"#154706\",this.pie9=this.pie9||\"#161722\",this.pie10=this.pie10||\"#00296f\",this.pie11=this.pie11||\"#01629c\",this.pie12=this.pie12||\"#010029\",this.pieTitleTextSize=this.pieTitleTextSize||\"25px\",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||\"17px\",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||\"17px\",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||\"black\",this.pieStrokeWidth=this.pieStrokeWidth||\"2px\",this.pieOpacity=this.pieOpacity||\"0.7\",this.classText=this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||this.primaryBorderColor,this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,Hy.darken)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor;}},{key:\"calculate\",value:function(t){var e=this;if(\"object\"===Wy(t)){var n=Object.keys(t);n.forEach(function(n){e[n]=t[n];}),this.updateColors(),n.forEach(function(n){e[n]=t[n];});}else this.updateColors();}}],n&&Xy(e.prototype,n),Object.defineProperty(e,\"prototype\",{writable:!1}),t;}();function Ky(t){return Ky=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(t){return typeof t;}:function(t){return t&&\"function\"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t;},Ky(t);}function Qy(t,e){for(var n=0;n<e.length;n++){var r=e[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(t,r.key,r);}}var Jy=function(){function t(){!function(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\");}(this,t),this.background=\"#f4f4f4\",this.primaryColor=\"#ECECFF\",this.secondaryColor=(0,Hy.adjust)(this.primaryColor,{h:120}),this.secondaryColor=\"#ffffde\",this.tertiaryColor=(0,Hy.adjust)(this.primaryColor,{h:-160}),this.primaryBorderColor=Vy(this.primaryColor,this.darkMode),this.secondaryBorderColor=Vy(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=Vy(this.tertiaryColor,this.darkMode),this.primaryTextColor=(0,Hy.invert)(this.primaryColor),this.secondaryTextColor=(0,Hy.invert)(this.secondaryColor),this.tertiaryTextColor=(0,Hy.invert)(this.tertiaryColor),this.lineColor=(0,Hy.invert)(this.background),this.textColor=(0,Hy.invert)(this.background),this.background=\"white\",this.mainBkg=\"#ECECFF\",this.secondBkg=\"#ffffde\",this.lineColor=\"#333333\",this.border1=\"#9370DB\",this.border2=\"#aaaa33\",this.arrowheadColor=\"#333333\",this.fontFamily='\"trebuchet ms\", verdana, arial, sans-serif',this.fontSize=\"16px\",this.labelBackground=\"#e8e8e8\",this.textColor=\"#333\",this.nodeBkg=\"calculated\",this.nodeBorder=\"calculated\",this.clusterBkg=\"calculated\",this.clusterBorder=\"calculated\",this.defaultLinkColor=\"calculated\",this.titleColor=\"calculated\",this.edgeLabelBackground=\"calculated\",this.actorBorder=\"calculated\",this.actorBkg=\"calculated\",this.actorTextColor=\"black\",this.actorLineColor=\"grey\",this.signalColor=\"calculated\",this.signalTextColor=\"calculated\",this.labelBoxBkgColor=\"calculated\",this.labelBoxBorderColor=\"calculated\",this.labelTextColor=\"calculated\",this.loopTextColor=\"calculated\",this.noteBorderColor=\"calculated\",this.noteBkgColor=\"#fff5ad\",this.noteTextColor=\"calculated\",this.activationBorderColor=\"#666\",this.activationBkgColor=\"#f4f4f4\",this.sequenceNumberColor=\"white\",this.sectionBkgColor=\"calculated\",this.altSectionBkgColor=\"calculated\",this.sectionBkgColor2=\"calculated\",this.excludeBkgColor=\"#eeeeee\",this.taskBorderColor=\"calculated\",this.taskBkgColor=\"calculated\",this.taskTextLightColor=\"calculated\",this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor=\"calculated\",this.taskTextOutsideColor=this.taskTextDarkColor,this.taskTextClickableColor=\"calculated\",this.activeTaskBorderColor=\"calculated\",this.activeTaskBkgColor=\"calculated\",this.gridColor=\"calculated\",this.doneTaskBkgColor=\"calculated\",this.doneTaskBorderColor=\"calculated\",this.critBorderColor=\"calculated\",this.critBkgColor=\"calculated\",this.todayLineColor=\"calculated\",this.sectionBkgColor=(0,Hy.rgba)(102,102,255,.49),this.altSectionBkgColor=\"white\",this.sectionBkgColor2=\"#fff400\",this.taskBorderColor=\"#534fbc\",this.taskBkgColor=\"#8a90dd\",this.taskTextLightColor=\"white\",this.taskTextColor=\"calculated\",this.taskTextDarkColor=\"black\",this.taskTextOutsideColor=\"calculated\",this.taskTextClickableColor=\"#003163\",this.activeTaskBorderColor=\"#534fbc\",this.activeTaskBkgColor=\"#bfc7ff\",this.gridColor=\"lightgrey\",this.doneTaskBkgColor=\"lightgrey\",this.doneTaskBorderColor=\"grey\",this.critBorderColor=\"#ff8888\",this.critBkgColor=\"red\",this.todayLineColor=\"red\",this.labelColor=\"black\",this.errorBkgColor=\"#552222\",this.errorTextColor=\"#552222\",this.updateColors();}var e,n;return e=t,n=[{key:\"updateColors\",value:function(){this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.textColor,this.edgeLabelBackground=this.labelBackground,this.actorBorder=(0,Hy.lighten)(this.border1,23),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.signalColor=this.textColor,this.signalTextColor=this.textColor,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||\"#f0f0f0\",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=(0,Hy.adjust)(this.primaryColor,{h:64}),this.fillType3=(0,Hy.adjust)(this.secondaryColor,{h:64}),this.fillType4=(0,Hy.adjust)(this.primaryColor,{h:-64}),this.fillType5=(0,Hy.adjust)(this.secondaryColor,{h:-64}),this.fillType6=(0,Hy.adjust)(this.primaryColor,{h:128}),this.fillType7=(0,Hy.adjust)(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||(0,Hy.adjust)(this.tertiaryColor,{l:-40}),this.pie4=this.pie4||(0,Hy.adjust)(this.primaryColor,{l:-10}),this.pie5=this.pie5||(0,Hy.adjust)(this.secondaryColor,{l:-30}),this.pie6=this.pie6||(0,Hy.adjust)(this.tertiaryColor,{l:-20}),this.pie7=this.pie7||(0,Hy.adjust)(this.primaryColor,{h:60,l:-20}),this.pie8=this.pie8||(0,Hy.adjust)(this.primaryColor,{h:-60,l:-40}),this.pie9=this.pie9||(0,Hy.adjust)(this.primaryColor,{h:120,l:-40}),this.pie10=this.pie10||(0,Hy.adjust)(this.primaryColor,{h:60,l:-40}),this.pie11=this.pie11||(0,Hy.adjust)(this.primaryColor,{h:-90,l:-40}),this.pie12=this.pie12||(0,Hy.adjust)(this.primaryColor,{h:120,l:-30}),this.pieTitleTextSize=this.pieTitleTextSize||\"25px\",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||\"17px\",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||\"17px\",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||\"black\",this.pieStrokeWidth=this.pieStrokeWidth||\"2px\",this.pieOpacity=this.pieOpacity||\"0.7\",this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||this.primaryBorderColor,this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.labelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor;}},{key:\"calculate\",value:function(t){var e=this;if(\"object\"===Ky(t)){var n=Object.keys(t);n.forEach(function(n){e[n]=t[n];}),this.updateColors(),n.forEach(function(n){e[n]=t[n];});}else this.updateColors();}}],n&&Qy(e.prototype,n),Object.defineProperty(e,\"prototype\",{writable:!1}),t;}();function tv(t){return tv=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(t){return typeof t;}:function(t){return t&&\"function\"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t;},tv(t);}function ev(t,e){for(var n=0;n<e.length;n++){var r=e[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(t,r.key,r);}}var nv=function(){function t(){!function(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a function\");}(this,t),this.background=\"#f4f4f4\",this.primaryColor=\"#cde498\",this.secondaryColor=\"#cdffb2\",this.background=\"white\",this.mainBkg=\"#cde498\",this.secondBkg=\"#cdffb2\",this.lineColor=\"green\",this.border1=\"#13540c\",this.border2=\"#6eaa49\",this.arrowheadColor=\"green\",this.fontFamily='\"trebuchet ms\", verdana, arial, sans-serif',this.fontSize=\"16px\",this.tertiaryColor=(0,Hy.lighten)(\"#cde498\",10),this.primaryBorderColor=Vy(this.primaryColor,this.darkMode),this.secondaryBorderColor=Vy(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=Vy(this.tertiaryColor,this.darkMode),this.primaryTextColor=(0,Hy.invert)(this.primaryColor),this.secondaryTextColor=(0,Hy.invert)(this.secondaryColor),this.tertiaryTextColor=(0,Hy.invert)(this.primaryColor),this.lineColor=(0,Hy.invert)(this.background),this.textColor=(0,Hy.invert)(this.background),this.nodeBkg=\"calculated\",this.nodeBorder=\"calculated\",this.clusterBkg=\"calculated\",this.clusterBorder=\"calculated\",this.defaultLinkColor=\"calculated\",this.titleColor=\"#333\",this.edgeLabelBackground=\"#e8e8e8\",this.actorBorder=\"calculated\",this.actorBkg=\"calculated\",this.actorTextColor=\"black\",this.actorLineColor=\"grey\",this.signalColor=\"#333\",this.signalTextColor=\"#333\",this.labelBoxBkgColor=\"calculated\",this.labelBoxBorderColor=\"#326932\",this.labelTextColor=\"calculated\",this.loopTextColor=\"calculated\",this.noteBorderColor=\"calculated\",this.noteBkgColor=\"#fff5ad\",this.noteTextColor=\"calculated\",this.activationBorderColor=\"#666\",this.activationBkgColor=\"#f4f4f4\",this.sequenceNumberColor=\"white\",this.sectionBkgColor=\"#6eaa49\",this.altSectionBkgColor=\"white\",this.sectionBkgColor2=\"#6eaa49\",this.excludeBkgColor=\"#eeeeee\",this.taskBorderColor=\"calculated\",this.taskBkgColor=\"#487e3a\",this.taskTextLightColor=\"white\",this.taskTextColor=\"calculated\",this.taskTextDarkColor=\"black\",this.taskTextOutsideColor=\"calculated\",this.taskTextClickableColor=\"#003163\",this.activeTaskBorderColor=\"calculated\",this.activeTaskBkgColor=\"calculated\",this.gridColor=\"lightgrey\",this.doneTaskBkgColor=\"lightgrey\",this.doneTaskBorderColor=\"grey\",this.critBorderColor=\"#ff8888\",this.critBkgColor=\"red\",this.todayLineColor=\"red\",this.labelColor=\"black\",this.errorBkgColor=\"#552222\",this.errorTextColor=\"#552222\";}var e,n;return e=t,n=[{key:\"updateColors\",value:function(){this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.actorBorder=(0,Hy.darken)(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.taskBorderColor=this.border1,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||\"#f0f0f0\",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=(0,Hy.adjust)(this.primaryColor,{h:64}),this.fillType3=(0,Hy.adjust)(this.secondaryColor,{h:64}),this.fillType4=(0,Hy.adjust)(this.primaryColor,{h:-64}),this.fillType5=(0,Hy.adjust)(this.secondaryColor,{h:-64}),this.fillType6=(0,Hy.adjust)(this.primaryColor,{h:128}),this.fillType7=(0,Hy.adjust)(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||(0,Hy.adjust)(this.primaryColor,{l:-30}),this.pie5=this.pie5||(0,Hy.adjust)(this.secondaryColor,{l:-30}),this.pie6=this.pie6||(0,Hy.adjust)(this.tertiaryColor,{h:40,l:-40}),this.pie7=this.pie7||(0,Hy.adjust)(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||(0,Hy.adjust)(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||(0,Hy.adjust)(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||(0,Hy.adjust)(this.primaryColor,{h:60,l:-50}),this.pie11=this.pie11||(0,Hy.adjust)(this.primaryColor,{h:-60,l:-50}),this.pie12=this.pie12||(0,Hy.adjust)(this.primaryColor,{h:120,l:-50}),this.pieTitleTextSize=this.pieTitleTextSize||\"25px\",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||\"17px\",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||\"17px\",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||\"black\",this.pieStrokeWidth=this.pieStrokeWidth||\"2px\",this.pieOpacity=this.pieOpacity||\"0.7\",this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||this.primaryBorderColor,this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor;}},{key:\"calculate\",value:function(t){var e=this;if(\"object\"===tv(t)){var n=Object.keys(t);n.forEach(function(n){e[n]=t[n];}),this.updateColors(),n.forEach(function(n){e[n]=t[n];});}else this.updateColors();}}],n&&ev(e.prototype,n),Object.defineProperty(e,\"prototype\",{writable:!1}),t;}();function rv(t){return rv=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(t){return typeof t;}:function(t){return t&&\"function\"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t;},rv(t);}function iv(t,e){for(var n=0;n<e.length;n++){var r=e[n];r.enumerable=r.enumerable||!1,r.configurable=!0,\"value\"in r&&(r.writable=!0),Object.defineProperty(t,r.key,r);}}var av=function(){function t(){!function(t,e){if(!(t instanceof e))throw new TypeError(\"Cannot call a class as a 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sans-serif',this.fontSize=\"16px\",this.nodeBkg=\"calculated\",this.nodeBorder=\"calculated\",this.clusterBkg=\"calculated\",this.clusterBorder=\"calculated\",this.defaultLinkColor=\"calculated\",this.titleColor=\"calculated\",this.edgeLabelBackground=\"white\",this.actorBorder=\"calculated\",this.actorBkg=\"calculated\",this.actorTextColor=\"calculated\",this.actorLineColor=\"calculated\",this.signalColor=\"calculated\",this.signalTextColor=\"calculated\",this.labelBoxBkgColor=\"calculated\",this.labelBoxBorderColor=\"calculated\",this.labelTextColor=\"calculated\",this.loopTextColor=\"calculated\",this.noteBorderColor=\"calculated\",this.noteBkgColor=\"calculated\",this.noteTextColor=\"calculated\",this.activationBorderColor=\"#666\",this.activationBkgColor=\"#f4f4f4\",this.sequenceNumberColor=\"white\",this.sectionBkgColor=\"calculated\",this.altSectionBkgColor=\"white\",this.sectionBkgColor2=\"calculated\",this.excludeBkgColor=\"#eeeeee\",this.taskBorderColor=\"calculated\",this.taskBkgColor=\"calculated\",this.taskTextLightColor=\"white\",this.taskTextColor=\"calculated\",this.taskTextDarkColor=\"calculated\",this.taskTextOutsideColor=\"calculated\",this.taskTextClickableColor=\"#003163\",this.activeTaskBorderColor=\"calculated\",this.activeTaskBkgColor=\"calculated\",this.gridColor=\"calculated\",this.doneTaskBkgColor=\"calculated\",this.doneTaskBorderColor=\"calculated\",this.critBkgColor=\"calculated\",this.critBorderColor=\"calculated\",this.todayLineColor=\"calculated\",this.labelColor=\"black\",this.errorBkgColor=\"#552222\",this.errorTextColor=\"#552222\";}var e,n;return e=t,n=[{key:\"updateColors\",value:function(){this.secondBkg=(0,Hy.lighten)(this.contrast,55),this.border2=this.contrast,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.text,this.actorBorder=(0,Hy.lighten)(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.lineColor,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor=\"#999\",this.noteBkgColor=\"#666\",this.noteTextColor=\"#fff\",this.sectionBkgColor=(0,Hy.lighten)(this.contrast,30),this.sectionBkgColor2=(0,Hy.lighten)(this.contrast,30),this.taskBorderColor=(0,Hy.darken)(this.contrast,10),this.taskBkgColor=this.contrast,this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor=this.text,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.gridColor=(0,Hy.lighten)(this.border1,30),this.doneTaskBkgColor=this.done,this.doneTaskBorderColor=this.lineColor,this.critBkgColor=this.critical,this.critBorderColor=(0,Hy.darken)(this.critBkgColor,10),this.todayLineColor=this.critBkgColor,this.transitionColor=this.transitionColor||\"#000\",this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||\"#f4f4f4\",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.stateBorder=this.stateBorder||\"#000\",this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=\"#222\",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=(0,Hy.adjust)(this.primaryColor,{h:64}),this.fillType3=(0,Hy.adjust)(this.secondaryColor,{h:64}),this.fillType4=(0,Hy.adjust)(this.primaryColor,{h:-64}),this.fillType5=(0,Hy.adjust)(this.secondaryColor,{h:-64}),this.fillType6=(0,Hy.adjust)(this.primaryColor,{h:128}),this.fillType7=(0,Hy.adjust)(this.secondaryColor,{h:128}),this.pie1=this.pie1||\"#F4F4F4\",this.pie2=this.pie2||\"#555\",this.pie3=this.pie3||\"#BBB\",this.pie4=this.pie4||\"#777\",this.pie5=this.pie5||\"#999\",this.pie6=this.pie6||\"#DDD\",this.pie7=this.pie7||\"#FFF\",this.pie8=this.pie8||\"#DDD\",this.pie9=this.pie9||\"#BBB\",this.pie10=this.pie10||\"#999\",this.pie11=this.pie11||\"#777\",this.pie12=this.pie12||\"#555\",this.pieTitleTextSize=this.pieTitleTextSize||\"25px\",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||\"17px\",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||\"17px\",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||\"black\",this.pieStrokeWidth=this.pieStrokeWidth||\"2px\",this.pieOpacity=this.pieOpacity||\"0.7\",this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||this.primaryBorderColor,this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor;}},{key:\"calculate\",value:function(t){var e=this;if(\"object\"===rv(t)){var n=Object.keys(t);n.forEach(function(n){e[n]=t[n];}),this.updateColors(),n.forEach(function(n){e[n]=t[n];});}else this.updateColors();}}],n&&iv(e.prototype,n),Object.defineProperty(e,\"prototype\",{writable:!1}),t;}();const ov={base:{getThemeVariables:function(t){var e=new Gy();return e.calculate(t),e;}},dark:{getThemeVariables:function(t){var e=new Zy();return e.calculate(t),e;}},default:{getThemeVariables:function(t){var e=new Jy();return e.calculate(t),e;}},forest:{getThemeVariables:function(t){var e=new nv();return e.calculate(t),e;}},neutral:{getThemeVariables:function(t){var e=new av();return e.calculate(t),e;}}};function sv(t){return function(t){if(Array.isArray(t))return lv(t);}(t)||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t);}(t)||function(t,e){if(t){if(\"string\"==typeof t)return lv(t,e);var 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s.attr(\"rx\",e.rx).attr(\"ry\",e.ry).attr(\"x\",-i.width/2-a).attr(\"y\",-i.height/2-a).attr(\"width\",i.width+e.padding).attr(\"height\",i.height+e.padding),Vb(e,s),e.intersect=function(t){return h_(e,t);},r;},subroutine:function(t,e){var n=Hb(t,e,void 0,!0),r=n.shapeSvg,i=n.bbox,a=i.width+e.padding,o=i.height+e.padding,s=[{x:0,y:0},{x:a,y:0},{x:a,y:-o},{x:0,y:-o},{x:0,y:0},{x:-8,y:0},{x:a+8,y:0},{x:a+8,y:-o},{x:-8,y:-o},{x:-8,y:0}],l=Yb(r,a,o,s);return l.attr(\"style\",e.style),Vb(e,l),e.intersect=function(t){return u_(e,s,t);},r;},fork:d_,join:d_,class_box:function(t,e){var n,r=e.padding/2;n=e.classes?\"node \"+e.classes:\"node default\";var i=t.insert(\"g\").attr(\"class\",n).attr(\"id\",e.domId||e.id),a=i.insert(\"rect\",\":first-child\"),o=i.insert(\"line\"),s=i.insert(\"line\"),l=0,c=4,u=i.insert(\"g\").attr(\"class\",\"label\"),h=0,f=e.classData.annotations&&e.classData.annotations[0],d=e.classData.annotations[0]?\"«\"+e.classData.annotations[0]+\"»\":\"\",p=u.node().appendChild(Ub(d,e.labelStyle,!0,!0)),m=p.getBBox();if(jy(Jv().flowchart.htmlLabels)){var g=p.children[0],y=ac(p);m=g.getBoundingClientRect(),y.attr(\"width\",m.width),y.attr(\"height\",m.height);}e.classData.annotations[0]&&(c+=m.height+4,l+=m.width);var v=e.classData.id;void 0!==e.classData.type&&\"\"!==e.classData.type&&(Jv().flowchart.htmlLabels?v+=\"&lt;\"+e.classData.type+\"&gt;\":v+=\"<\"+e.classData.type+\">\");var b=u.node().appendChild(Ub(v,e.labelStyle,!0,!0));ac(b).attr(\"class\",\"classTitle\");var _=b.getBBox();if(jy(Jv().flowchart.htmlLabels)){var x=b.children[0],w=ac(b);_=x.getBoundingClientRect(),w.attr(\"width\",_.width),w.attr(\"height\",_.height);}c+=_.height+4,_.width>l&&(l=_.width);var k=[];e.classData.members.forEach(function(t){var n=Mb(t),r=n.displayText;Jv().flowchart.htmlLabels&&(r=r.replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\"));var i=u.node().appendChild(Ub(r,n.cssStyle?n.cssStyle:e.labelStyle,!0,!0)),a=i.getBBox();if(jy(Jv().flowchart.htmlLabels)){var o=i.children[0],s=ac(i);a=o.getBoundingClientRect(),s.attr(\"width\",a.width),s.attr(\"height\",a.height);}a.width>l&&(l=a.width),c+=a.height+4,k.push(i);}),c+=8;var S=[];if(e.classData.methods.forEach(function(t){var n=Mb(t),r=n.displayText;Jv().flowchart.htmlLabels&&(r=r.replace(/</g,\"&lt;\").replace(/>/g,\"&gt;\"));var i=u.node().appendChild(Ub(r,n.cssStyle?n.cssStyle:e.labelStyle,!0,!0)),a=i.getBBox();if(jy(Jv().flowchart.htmlLabels)){var o=i.children[0],s=ac(i);a=o.getBoundingClientRect(),s.attr(\"width\",a.width),s.attr(\"height\",a.height);}a.width>l&&(l=a.width),c+=a.height+4,S.push(i);}),c+=8,f){var C=(l-m.width)/2;ac(p).attr(\"transform\",\"translate( \"+(-1*l/2+C)+\", \"+-1*c/2+\")\"),h=m.height+4;}var M=(l-_.width)/2;return ac(b).attr(\"transform\",\"translate( \"+(-1*l/2+M)+\", \"+(-1*c/2+h)+\")\"),h+=_.height+4,o.attr(\"class\",\"divider\").attr(\"x1\",-l/2-r).attr(\"x2\",l/2+r).attr(\"y1\",-c/2-r+8+h).attr(\"y2\",-c/2-r+8+h),h+=8,k.forEach(function(t){ac(t).attr(\"transform\",\"translate( \"+-l/2+\", \"+(-1*c/2+h+4)+\")\"),h+=_.height+4;}),h+=8,s.attr(\"class\",\"divider\").attr(\"x1\",-l/2-r).attr(\"x2\",l/2+r).attr(\"y1\",-c/2-r+8+h).attr(\"y2\",-c/2-r+8+h),h+=8,S.forEach(function(t){ac(t).attr(\"transform\",\"translate( \"+-l/2+\", \"+(-1*c/2+h)+\")\"),h+=_.height+4;}),a.attr(\"class\",\"outer title-state\").attr(\"x\",-l/2-r).attr(\"y\",-c/2-r).attr(\"width\",l+e.padding).attr(\"height\",c+e.padding),Vb(e,a),e.intersect=function(t){return h_(e,t);},i;}},m_={},g_=function(t){var e=m_[t.id];o.trace(\"Transforming node\",t.diff,t,\"translate(\"+(t.x-t.width/2-5)+\", \"+t.width/2+\")\");var n=t.diff||0;return t.clusterNode?e.attr(\"transform\",\"translate(\"+(t.x+n-t.width/2)+\", \"+(t.y-t.height/2-8)+\")\"):e.attr(\"transform\",\"translate(\"+t.x+\", \"+t.y+\")\"),n;},y_={rect:function(t,e){o.trace(\"Creating subgraph rect for \",e.id,e);var n=t.insert(\"g\").attr(\"class\",\"cluster\"+(e.class?\" \"+e.class:\"\")).attr(\"id\",e.id),r=n.insert(\"rect\",\":first-child\"),i=n.insert(\"g\").attr(\"class\",\"cluster-label\"),a=i.node().appendChild(Ub(e.labelText,e.labelStyle,void 0,!0)),s=a.getBBox();if(jy(Jv().flowchart.htmlLabels)){var l=a.children[0],c=ac(a);s=l.getBoundingClientRect(),c.attr(\"width\",s.width),c.attr(\"height\",s.height);}var u=0*e.padding,h=u/2,f=e.width<=s.width+u?s.width+u:e.width;e.width<=s.width+u?e.diff=(s.width-e.width)/2:e.diff=-e.padding/2,o.trace(\"Data \",e,JSON.stringify(e)),r.attr(\"style\",e.style).attr(\"rx\",e.rx).attr(\"ry\",e.ry).attr(\"x\",e.x-f/2).attr(\"y\",e.y-e.height/2-h).attr(\"width\",f).attr(\"height\",e.height+u),i.attr(\"transform\",\"translate(\"+(e.x-s.width/2)+\", \"+(e.y-e.height/2+e.padding/3)+\")\");var d=r.node().getBBox();return e.width=d.width,e.height=d.height,e.intersect=function(t){return l_(e,t);},n;},roundedWithTitle:function(t,e){var n=t.insert(\"g\").attr(\"class\",e.classes).attr(\"id\",e.id),r=n.insert(\"rect\",\":first-child\"),i=n.insert(\"g\").attr(\"class\",\"cluster-label\"),a=n.append(\"rect\"),o=i.node().appendChild(Ub(e.labelText,e.labelStyle,void 0,!0)),s=o.getBBox();if(jy(Jv().flowchart.htmlLabels)){var l=o.children[0],c=ac(o);s=l.getBoundingClientRect(),c.attr(\"width\",s.width),c.attr(\"height\",s.height);}s=o.getBBox();var u=0*e.padding,h=u/2,f=e.width<=s.width+e.padding?s.width+e.padding:e.width;e.width<=s.width+e.padding?e.diff=(s.width+0*e.padding-e.width)/2:e.diff=-e.padding/2,r.attr(\"class\",\"outer\").attr(\"x\",e.x-f/2-h).attr(\"y\",e.y-e.height/2-h).attr(\"width\",f+u).attr(\"height\",e.height+u),a.attr(\"class\",\"inner\").attr(\"x\",e.x-f/2-h).attr(\"y\",e.y-e.height/2-h+s.height-1).attr(\"width\",f+u).attr(\"height\",e.height+u-s.height-3),i.attr(\"transform\",\"translate(\"+(e.x-s.width/2)+\", \"+(e.y-e.height/2-e.padding/3+(jy(Jv().flowchart.htmlLabels)?5:3))+\")\");var d=r.node().getBBox();return e.height=d.height,e.intersect=function(t){return l_(e,t);},n;},noteGroup:function(t,e){var n=t.insert(\"g\").attr(\"class\",\"note-cluster\").attr(\"id\",e.id),r=n.insert(\"rect\",\":first-child\"),i=0*e.padding,a=i/2;r.attr(\"rx\",e.rx).attr(\"ry\",e.ry).attr(\"x\",e.x-e.width/2-a).attr(\"y\",e.y-e.height/2-a).attr(\"width\",e.width+i).attr(\"height\",e.height+i).attr(\"fill\",\"none\");var o=r.node().getBBox();return e.width=o.width,e.height=o.height,e.intersect=function(t){return l_(e,t);},n;},divider:function(t,e){var n=t.insert(\"g\").attr(\"class\",e.classes).attr(\"id\",e.id),r=n.insert(\"rect\",\":first-child\"),i=0*e.padding,a=i/2;r.attr(\"class\",\"divider\").attr(\"x\",e.x-e.width/2-a).attr(\"y\",e.y-e.height/2).attr(\"width\",e.width+i).attr(\"height\",e.height+i);var o=r.node().getBBox();return e.width=o.width,e.height=o.height,e.diff=-e.padding/2,e.intersect=function(t){return l_(e,t);},n;}},v_={},b_={},__={},x_=function(t,e){var n=Ub(e.label,e.labelStyle),r=t.insert(\"g\").attr(\"class\",\"edgeLabel\"),i=r.insert(\"g\").attr(\"class\",\"label\");i.node().appendChild(n);var a,o=n.getBBox();if(jy(Jv().flowchart.htmlLabels)){var s=n.children[0],l=ac(n);o=s.getBoundingClientRect(),l.attr(\"width\",o.width),l.attr(\"height\",o.height);}if(i.attr(\"transform\",\"translate(\"+-o.width/2+\", \"+-o.height/2+\")\"),b_[e.id]=r,e.width=o.width,e.height=o.height,e.startLabelLeft){var c=Ub(e.startLabelLeft,e.labelStyle),u=t.insert(\"g\").attr(\"class\",\"edgeTerminals\"),h=u.insert(\"g\").attr(\"class\",\"inner\");a=h.node().appendChild(c);var f=c.getBBox();h.attr(\"transform\",\"translate(\"+-f.width/2+\", \"+-f.height/2+\")\"),__[e.id]||(__[e.id]={}),__[e.id].startLeft=u,w_(a,e.startLabelLeft);}if(e.startLabelRight){var d=Ub(e.startLabelRight,e.labelStyle),p=t.insert(\"g\").attr(\"class\",\"edgeTerminals\"),m=p.insert(\"g\").attr(\"class\",\"inner\");a=p.node().appendChild(d),m.node().appendChild(d);var g=d.getBBox();m.attr(\"transform\",\"translate(\"+-g.width/2+\", \"+-g.height/2+\")\"),__[e.id]||(__[e.id]={}),__[e.id].startRight=p,w_(a,e.startLabelRight);}if(e.endLabelLeft){var y=Ub(e.endLabelLeft,e.labelStyle),v=t.insert(\"g\").attr(\"class\",\"edgeTerminals\"),b=v.insert(\"g\").attr(\"class\",\"inner\");a=b.node().appendChild(y);var _=y.getBBox();b.attr(\"transform\",\"translate(\"+-_.width/2+\", \"+-_.height/2+\")\"),v.node().appendChild(y),__[e.id]||(__[e.id]={}),__[e.id].endLeft=v,w_(a,e.endLabelLeft);}if(e.endLabelRight){var x=Ub(e.endLabelRight,e.labelStyle),w=t.insert(\"g\").attr(\"class\",\"edgeTerminals\"),k=w.insert(\"g\").attr(\"class\",\"inner\");a=k.node().appendChild(x);var S=x.getBBox();k.attr(\"transform\",\"translate(\"+-S.width/2+\", \"+-S.height/2+\")\"),w.node().appendChild(x),__[e.id]||(__[e.id]={}),__[e.id].endRight=w,w_(a,e.endLabelRight);}};function w_(t,e){Jv().flowchart.htmlLabels&&t&&(t.style.width=9*e.length+\"px\",t.style.height=\"12px\");}var k_=function(t,e){o.info(\"Moving label abc78 \",t.id,t.label,b_[t.id]);var n=e.updatedPath?e.updatedPath:e.originalPath;if(t.label){var r=b_[t.id],i=t.x,a=t.y;if(n){var s=Vv.calcLabelPosition(n);o.info(\"Moving label from (\",i,\",\",a,\") to (\",s.x,\",\",s.y,\") abc78\");}r.attr(\"transform\",\"translate(\"+i+\", \"+a+\")\");}if(t.startLabelLeft){var l=__[t.id].startLeft,c=t.x,u=t.y;if(n){var h=Vv.calcTerminalLabelPosition(t.arrowTypeStart?10:0,\"start_left\",n);c=h.x,u=h.y;}l.attr(\"transform\",\"translate(\"+c+\", \"+u+\")\");}if(t.startLabelRight){var f=__[t.id].startRight,d=t.x,p=t.y;if(n){var m=Vv.calcTerminalLabelPosition(t.arrowTypeStart?10:0,\"start_right\",n);d=m.x,p=m.y;}f.attr(\"transform\",\"translate(\"+d+\", \"+p+\")\");}if(t.endLabelLeft){var g=__[t.id].endLeft,y=t.x,v=t.y;if(n){var b=Vv.calcTerminalLabelPosition(t.arrowTypeEnd?10:0,\"end_left\",n);y=b.x,v=b.y;}g.attr(\"transform\",\"translate(\"+y+\", \"+v+\")\");}if(t.endLabelRight){var _=__[t.id].endRight,x=t.x,w=t.y;if(n){var k=Vv.calcTerminalLabelPosition(t.arrowTypeEnd?10:0,\"end_right\",n);x=k.x,w=k.y;}_.attr(\"transform\",\"translate(\"+x+\", \"+w+\")\");}},S_=function(t,e){o.warn(\"abc88 cutPathAtIntersect\",t,e);var n=[],r=t[0],i=!1;return t.forEach(function(t){if(o.info(\"abc88 checking point\",t,e),function(t,e){var n=t.x,r=t.y,i=Math.abs(e.x-n),a=Math.abs(e.y-r),o=t.width/2,s=t.height/2;return i>=o||a>=s;}(e,t)||i)o.warn(\"abc88 outside\",t,r),r=t,i||n.push(t);else{var a=function(t,e,n){o.warn(\"intersection calc abc89:\\n  outsidePoint: \".concat(JSON.stringify(e),\"\\n  insidePoint : \").concat(JSON.stringify(n),\"\\n  node        : x:\").concat(t.x,\" y:\").concat(t.y,\" w:\").concat(t.width,\" h:\").concat(t.height));var r=t.x,i=t.y,a=Math.abs(r-n.x),s=t.width/2,l=n.x<e.x?s-a:s+a,c=t.height/2,u=Math.abs(e.y-n.y),h=Math.abs(e.x-n.x);if(Math.abs(i-e.y)*s>Math.abs(r-e.x)*c){var f=n.y<e.y?e.y-c-i:i-c-e.y;l=h*f/u;var d={x:n.x<e.x?n.x+l:n.x-h+l,y:n.y<e.y?n.y+u-f:n.y-u+f};return 0===l&&(d.x=e.x,d.y=e.y),0===h&&(d.x=e.x),0===u&&(d.y=e.y),o.warn(\"abc89 topp/bott calc, Q \".concat(u,\", q \").concat(f,\", R \").concat(h,\", r \").concat(l),d),d;}var p=u*(l=n.x<e.x?e.x-s-r:r-s-e.x)/h,m=n.x<e.x?n.x+h-l:n.x-h+l,g=n.y<e.y?n.y+p:n.y-p;return o.warn(\"sides calc abc89, Q \".concat(u,\", q \").concat(p,\", R \").concat(h,\", r \").concat(l),{_x:m,_y:g}),0===l&&(m=e.x,g=e.y),0===h&&(m=e.x),0===u&&(g=e.y),{x:m,y:g};}(e,r,t);o.warn(\"abc88 inside\",t,r,a),o.warn(\"abc88 intersection\",a);var s=!1;n.forEach(function(t){s=s||t.x===a.x&&t.y===a.y;}),n.find(function(t){return t.x===a.x&&t.y===a.y;})?o.warn(\"abc88 no intersect\",a,n):n.push(a),i=!0;}}),o.warn(\"abc88 returning points\",n),n;},C_=function t(e,n,r,i){o.info(\"Graph in recursive render: XXX\",wb().json.write(n),i);var a=n.graph().rankdir;o.trace(\"Dir in recursive render - dir:\",a);var s=e.insert(\"g\").attr(\"class\",\"root\");n.nodes()?o.info(\"Recursive render XXX\",n.nodes()):o.info(\"No nodes found for\",n),n.edges().length>0&&o.trace(\"Recursive edges\",n.edge(n.edges()[0]));var l=s.insert(\"g\").attr(\"class\",\"clusters\"),c=s.insert(\"g\").attr(\"class\",\"edgePaths\"),u=s.insert(\"g\").attr(\"class\",\"edgeLabels\"),h=s.insert(\"g\").attr(\"class\",\"nodes\");n.nodes().forEach(function(e){var s=n.node(e);if(void 0!==i){var l=JSON.parse(JSON.stringify(i.clusterData));o.info(\"Setting data for cluster XXX (\",e,\") \",l,i),n.setNode(i.id,l),n.parent(e)||(o.trace(\"Setting parent\",e,i.id),n.setParent(e,i.id,l));}if(o.info(\"(Insert) Node XXX\"+e+\": \"+JSON.stringify(n.node(e))),s&&s.clusterNode){o.info(\"Cluster identified\",e,s.width,n.node(e));var c=t(h,s.graph,r,n.node(e)),u=c.elem;Vb(s,u),s.diff=c.diff||0,o.info(\"Node bounds (abc123)\",e,s,s.width,s.x,s.y),function(t,e){m_[e.id]=t;}(u,s),o.warn(\"Recursive render complete \",u,s);}else n.children(e).length>0?(o.info(\"Cluster - the non recursive path XXX\",e,s.id,s,n),o.info(Qb(s.id,n)),$b[s.id]={id:Qb(s.id,n),node:s}):(o.info(\"Node - the non recursive path\",e,s.id,s),function(t,e,n){var r,i;e.link?(r=t.insert(\"svg:a\").attr(\"xlink:href\",e.link).attr(\"target\",e.linkTarget||\"_blank\"),i=p_[e.shape](r,e,n)):r=i=p_[e.shape](t,e,n),e.tooltip&&i.attr(\"title\",e.tooltip),e.class&&i.attr(\"class\",\"node default \"+e.class),m_[e.id]=r,e.haveCallback&&m_[e.id].attr(\"class\",m_[e.id].attr(\"class\")+\" clickable\");}(h,n.node(e),a));}),n.edges().forEach(function(t){var e=n.edge(t.v,t.w,t.name);o.info(\"Edge \"+t.v+\" -> \"+t.w+\": \"+JSON.stringify(t)),o.info(\"Edge \"+t.v+\" -> \"+t.w+\": \",t,\" \",JSON.stringify(n.edge(t))),o.info(\"Fix\",$b,\"ids:\",t.v,t.w,\"Translateing: \",$b[t.v],$b[t.w]),x_(u,e);}),n.edges().forEach(function(t){o.info(\"Edge \"+t.v+\" -> \"+t.w+\": \"+JSON.stringify(t));}),o.info(\"#############################################\"),o.info(\"###                Layout                 ###\"),o.info(\"#############################################\"),o.info(n),_b().layout(n),o.info(\"Graph after layout:\",wb().json.write(n));var f=0;return r_(n).forEach(function(t){var e=n.node(t);o.info(\"Position \"+t+\": \"+JSON.stringify(n.node(t))),o.info(\"Position \"+t+\": (\"+e.x,\",\"+e.y,\") width: \",e.width,\" height: \",e.height),e&&e.clusterNode?g_(e):n.children(t).length>0?(function(t,e){o.trace(\"Inserting cluster\");var n=e.shape||\"rect\";v_[e.id]=y_[n](t,e);}(l,e),$b[e.id].node=e):g_(e);}),n.edges().forEach(function(t){var e=n.edge(t);o.info(\"Edge \"+t.v+\" -> \"+t.w+\": \"+JSON.stringify(e),e);var i=function(t,e,n,r,i,a){var s=n.points,l=!1,c=a.node(e.v),u=a.node(e.w);o.info(\"abc88 InsertEdge: \",n),u.intersect&&c.intersect&&((s=s.slice(1,n.points.length-1)).unshift(c.intersect(s[0])),o.info(\"Last point\",s[s.length-1],u,u.intersect(s[s.length-1])),s.push(u.intersect(s[s.length-1]))),n.toCluster&&(o.info(\"to cluster abc88\",r[n.toCluster]),s=S_(n.points,r[n.toCluster].node),l=!0),n.fromCluster&&(o.info(\"from cluster abc88\",r[n.fromCluster]),s=S_(s.reverse(),r[n.fromCluster].node).reverse(),l=!0);var h,f=s.filter(function(t){return!Number.isNaN(t.y);});h=(\"graph\"===i||\"flowchart\"===i)&&n.curve||Gc;var d,p=jc().x(function(t){return t.x;}).y(function(t){return 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e=Object.keys(t),n=0;n<e.length;n++)Bx[e[n]]=t[e[n]];},zx=function(t,e){o.info(\"Drawing flowchart\"),mx.clear(),mx.setGen(\"gen-1\");var n=yx().parser;n.yy=mx,n.parse(t);var r=mx.getDirection();void 0===r&&(r=\"TD\");for(var i,a=Jv().flowchart,s=a.nodeSpacing||50,l=a.rankSpacing||50,c=new(wb().Graph)({multigraph:!0,compound:!0}).setGraph({rankdir:r,nodesep:s,ranksep:l,marginx:8,marginy:8}).setDefaultEdgeLabel(function(){return{};}),u=mx.getSubGraphs(),h=u.length-1;h>=0;h--)i=u[h],mx.addVertex(i.id,i.title,\"group\",void 0,i.classes);var f=mx.getVertices();o.warn(\"Get vertices\",f);var d=mx.getEdges(),p=0;for(p=u.length-1;p>=0;p--){i=u[p],oc(\"cluster\").append(\"text\");for(var m=0;m<i.nodes.length;m++)o.warn(\"Setting subgraph\",i.nodes[m],mx.lookUpDomId(i.nodes[m]),mx.lookUpDomId(i.id)),c.setParent(mx.lookUpDomId(i.nodes[m]),mx.lookUpDomId(i.id));}(function(t,e,n){var r=ac('[id=\"'.concat(n,'\"]'));Object.keys(t).forEach(function(n){var i=t[n],a=\"default\";i.classes.length>0&&(a=i.classes.join(\" \"));var s,l=Nv(i.styles),c=void 0!==i.text?i.text:i.id;if(jy(Jv().flowchart.htmlLabels)){var u={label:c.replace(/fa[lrsb]?:fa-[\\w-]+/g,function(t){return\"<i class='\".concat(t.replace(\":\",\" \"),\"'></i>\");})};(s=xx()(r,u).node()).parentNode.removeChild(s);}else{var h=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\");h.setAttribute(\"style\",l.labelStyle.replace(\"color:\",\"fill:\"));for(var f=c.split(Uy.lineBreakRegex),d=0;d<f.length;d++){var p=document.createElementNS(\"http://www.w3.org/2000/svg\",\"tspan\");p.setAttributeNS(\"http://www.w3.org/XML/1998/namespace\",\"xml:space\",\"preserve\"),p.setAttribute(\"dy\",\"1em\"),p.setAttribute(\"x\",\"1\"),p.textContent=f[d],h.appendChild(p);}s=h;}var m=0,g=\"\";switch(i.type){case\"round\":m=5,g=\"rect\";break;case\"square\":case\"group\":default:g=\"rect\";break;case\"diamond\":g=\"question\";break;case\"hexagon\":g=\"hexagon\";break;case\"odd\":case\"odd_right\":g=\"rect_left_inv_arrow\";break;case\"lean_right\":g=\"lean_right\";break;case\"lean_left\":g=\"lean_left\";break;case\"trapezoid\":g=\"trapezoid\";break;case\"inv_trapezoid\":g=\"inv_trapezoid\";break;case\"circle\":g=\"circle\";break;case\"ellipse\":g=\"ellipse\";break;case\"stadium\":g=\"stadium\";break;case\"subroutine\":g=\"subroutine\";break;case\"cylinder\":g=\"cylinder\";}o.warn(\"Adding node\",i.id,i.domId),e.setNode(mx.lookUpDomId(i.id),{labelType:\"svg\",labelStyle:l.labelStyle,shape:g,label:s,rx:m,ry:m,class:a,style:l.style,id:mx.lookUpDomId(i.id)});});})(f,c,e),function(t,e){var n,r,i=0;if(void 0!==t.defaultStyle){var a=Nv(t.defaultStyle);n=a.style,r=a.labelStyle;}t.forEach(function(a){i++;var o=\"L-\"+a.start+\"-\"+a.end,s=\"LS-\"+a.start,l=\"LE-\"+a.end,c={};\"arrow_open\"===a.type?c.arrowhead=\"none\":c.arrowhead=\"normal\";var u=\"\",h=\"\";if(void 0!==a.style){var f=Nv(a.style);u=f.style,h=f.labelStyle;}else switch(a.stroke){case\"normal\":u=\"fill:none\",void 0!==n&&(u=n),void 0!==r&&(h=r);break;case\"dotted\":u=\"fill:none;stroke-width:2px;stroke-dasharray:3;\";break;case\"thick\":u=\" stroke-width: 3.5px;fill:none\";}c.style=u,c.labelStyle=h,void 0!==a.interpolate?c.curve=Av(a.interpolate,Pc):void 0!==t.defaultInterpolate?c.curve=Av(t.defaultInterpolate,Pc):c.curve=Av(Bx.curve,Pc),void 0===a.text?void 0!==a.style&&(c.arrowheadStyle=\"fill: #333\"):(c.arrowheadStyle=\"fill: #333\",c.labelpos=\"c\",jy(Jv().flowchart.htmlLabels)?(c.labelType=\"html\",c.label='<span id=\"L-'.concat(o,'\" class=\"edgeLabel L-').concat(s,\"' L-\").concat(l,'\">').concat(a.text.replace(/fa[lrsb]?:fa-[\\w-]+/g,function(t){return\"<i class='\".concat(t.replace(\":\",\" 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this.notes[this.notes.length-1];},actors:[],loops:[],messages:[],notes:[]},init:function(){this.sequenceItems=[],this.activations=[],this.models.clear(),this.data={startx:void 0,stopx:void 0,starty:void 0,stopy:void 0},this.verticalPos=0,PS(Nk.parser.yy.getConfig());},updateVal:function(t,e,n,r){void 0===t[e]?t[e]=n:t[e]=r(n,t[e]);},updateBounds:function(t,e,n,r){var i=this,a=0;function o(o){return function(s){a++;var l=i.sequenceItems.length-a+1;i.updateVal(s,\"starty\",e-l*DS.boxMargin,Math.min),i.updateVal(s,\"stopy\",r+l*DS.boxMargin,Math.max),i.updateVal(OS.data,\"startx\",t-l*DS.boxMargin,Math.min),i.updateVal(OS.data,\"stopx\",n+l*DS.boxMargin,Math.max),\"activation\"!==o&&(i.updateVal(s,\"startx\",t-l*DS.boxMargin,Math.min),i.updateVal(s,\"stopx\",n+l*DS.boxMargin,Math.max),i.updateVal(OS.data,\"starty\",e-l*DS.boxMargin,Math.min),i.updateVal(OS.data,\"stopy\",r+l*DS.boxMargin,Math.max));};}this.sequenceItems.forEach(o()),this.activations.forEach(o(\"activation\"));},insert:function(t,e,n,r){var i=Math.min(t,n),a=Math.max(t,n),o=Math.min(e,r),s=Math.max(e,r);this.updateVal(OS.data,\"startx\",i,Math.min),this.updateVal(OS.data,\"starty\",o,Math.min),this.updateVal(OS.data,\"stopx\",a,Math.max),this.updateVal(OS.data,\"stopy\",s,Math.max),this.updateBounds(i,o,a,s);},newActivation:function(t,e,n){var r=n[t.from.actor],i=FS(t.from.actor).length||0,a=r.x+r.width/2+(i-1)*DS.activationWidth/2;this.activations.push({startx:a,starty:this.verticalPos+2,stopx:a+DS.activationWidth,stopy:void 0,actor:t.from.actor,anchored:vS(e)});},endActivation:function(t){var e=this.activations.map(function(t){return t.actor;}).lastIndexOf(t.from.actor);return this.activations.splice(e,1)[0];},createLoop:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{message:void 0,wrap:!1,width:void 0},e=arguments.length>1?arguments[1]:void 0;return{startx:void 0,starty:this.verticalPos,stopx:void 0,stopy:void 0,title:t.message,wrap:t.wrap,width:t.width,height:0,fill:e};},newLoop:function(){var t=arguments.length>0&&void 0!==arguments[0]?arguments[0]:{message:void 0,wrap:!1,width:void 0},e=arguments.length>1?arguments[1]:void 0;this.sequenceItems.push(this.createLoop(t,e));},endLoop:function(){return this.sequenceItems.pop();},addSectionToLoop:function(t){var e=this.sequenceItems.pop();e.sections=e.sections||[],e.sectionTitles=e.sectionTitles||[],e.sections.push({y:OS.getVerticalPos(),height:0}),e.sectionTitles.push(t),this.sequenceItems.push(e);},bumpVerticalPos:function(t){this.verticalPos=this.verticalPos+t,this.data.stopy=this.verticalPos;},getVerticalPos:function(){return this.verticalPos;},getBounds:function(){return{bounds:this.data,models:this.models};}},IS=function(t){return{fontFamily:t.messageFontFamily,fontSize:t.messageFontSize,fontWeight:t.messageFontWeight};},LS=function(t){return{fontFamily:t.noteFontFamily,fontSize:t.noteFontSize,fontWeight:t.noteFontWeight};},BS=function(t){return{fontFamily:t.actorFontFamily,fontSize:t.actorFontSize,fontWeight:t.actorFontWeight};},RS=function(t,e,n,r){for(var i=0,a=0,o=0,s=0;s<n.length;s++){var l=e[n[s]];l.width=l.width||DS.width,l.height=Math.max(l.height||DS.height,DS.height),l.margin=l.margin||DS.actorMargin,l.x=i+a,l.y=r;var c=gS(t,l,DS);o=Math.max(o,c),OS.insert(l.x,r,l.x+l.width,l.height),i+=l.width,a+=l.margin,OS.models.addActor(l);}OS.bumpVerticalPos(o);},zS=function(t,e,n){for(var r=0,i=0,a=0;a<n.length;a++){var o=e[n[a]],s=US(o),l=yS(t,o,s,DS,DS.forceMenus);l.height>r&&(r=l.height),l.width+o.x>i&&(i=l.width+o.x);}return{maxHeight:r,maxWidth:i};},PS=function(t){Lv(DS,t),t.fontFamily&&(DS.actorFontFamily=DS.noteFontFamily=DS.messageFontFamily=t.fontFamily),t.fontSize&&(DS.actorFontSize=DS.noteFontSize=DS.messageFontSize=t.fontSize),t.fontWeight&&(DS.actorFontWeight=DS.noteFontWeight=DS.messageFontWeight=t.fontWeight);},FS=function(t){return OS.activations.filter(function(e){return e.actor===t;});},qS=function(t,e){var n=e[t],r=FS(t);return[r.reduce(function(t,e){return Math.min(t,e.startx);},n.x+n.width/2),r.reduce(function(t,e){return Math.max(t,e.stopx);},n.x+n.width/2)];};function jS(t,e,n,r,i){OS.bumpVerticalPos(n);var a=r;if(e.id&&e.message&&t[e.id]){var s=t[e.id].width,l=IS(DS);e.message=Vv.wrapLabel(\"[\".concat(e.message,\"]\"),s-2*DS.wrapPadding,l),e.width=s,e.wrap=!0;var c=Vv.calculateTextDimensions(e.message,l),u=Math.max(c.height,DS.labelBoxHeight);a=r+u,o.debug(\"\".concat(u,\" - \").concat(e.message));}i(e),OS.bumpVerticalPos(a);}var US=function(t){var e=0,n=BS(DS);for(var r in t.links){var i=Vv.calculateTextDimensions(r,n).width+2*DS.wrapPadding+2*DS.boxMargin;e<i&&(e=i);}return e;};const HS={bounds:OS,drawActors:RS,drawActorsPopup:zS,setConf:PS,draw:function(t,e){DS=Jv().sequence,Nk.parser.yy.clear(),Nk.parser.yy.setWrap(DS.wrap),Nk.parser.parse(t+\"\\n\"),OS.init(),o.debug(\"C:\".concat(JSON.stringify(DS,null,2)));var n=ac('[id=\"'.concat(e,'\"]')),r=Nk.parser.yy.getActors(),i=Nk.parser.yy.getActorKeys(),a=Nk.parser.yy.getMessages(),s=Nk.parser.yy.getTitle(),l=function(t,e){var n={};return e.forEach(function(e){if(t[e.to]&&t[e.from]){var r=t[e.to];if(e.placement===Nk.parser.yy.PLACEMENT.LEFTOF&&!r.prevActor)return;if(e.placement===Nk.parser.yy.PLACEMENT.RIGHTOF&&!r.nextActor)return;var i=void 0!==e.placement,a=!i,o=i?LS(DS):IS(DS),s=e.wrap?Vv.wrapLabel(e.message,DS.width-2*DS.wrapPadding,o):e.message,l=Vv.calculateTextDimensions(s,o).width+2*DS.wrapPadding;a&&e.from===r.nextActor?n[e.to]=Math.max(n[e.to]||0,l):a&&e.from===r.prevActor?n[e.from]=Math.max(n[e.from]||0,l):a&&e.from===e.to?(n[e.from]=Math.max(n[e.from]||0,l/2),n[e.to]=Math.max(n[e.to]||0,l/2)):e.placement===Nk.parser.yy.PLACEMENT.RIGHTOF?n[e.from]=Math.max(n[e.from]||0,l):e.placement===Nk.parser.yy.PLACEMENT.LEFTOF?n[r.prevActor]=Math.max(n[r.prevActor]||0,l):e.placement===Nk.parser.yy.PLACEMENT.OVER&&(r.prevActor&&(n[r.prevActor]=Math.max(n[r.prevActor]||0,l/2)),r.nextActor&&(n[e.from]=Math.max(n[e.from]||0,l/2)));}}),o.debug(\"maxMessageWidthPerActor:\",n),n;}(r,a);DS.height=function(t,e){var n=0;for(var r in Object.keys(t).forEach(function(e){var r=t[e];r.wrap&&(r.description=Vv.wrapLabel(r.description,DS.width-2*DS.wrapPadding,BS(DS)));var i=Vv.calculateTextDimensions(r.description,BS(DS));r.width=r.wrap?DS.width:Math.max(DS.width,i.width+2*DS.wrapPadding),r.height=r.wrap?Math.max(i.height,DS.height):DS.height,n=Math.max(n,r.height);}),e){var i=t[r];if(i){var a=t[i.nextActor];if(a){var o=e[r]+DS.actorMargin-i.width/2-a.width/2;i.margin=Math.max(o,DS.actorMargin);}}}return Math.max(n,DS.height);}(r,l),TS(n),MS(n),AS(n),RS(n,r,i,0);var c=function(t,e){var n,r,i,a={},s=[];return t.forEach(function(t){switch(t.id=Vv.random({length:10}),t.type){case Nk.parser.yy.LINETYPE.LOOP_START:case Nk.parser.yy.LINETYPE.ALT_START:case Nk.parser.yy.LINETYPE.OPT_START:case Nk.parser.yy.LINETYPE.PAR_START:s.push({id:t.id,msg:t.message,from:Number.MAX_SAFE_INTEGER,to:Number.MIN_SAFE_INTEGER,width:0});break;case Nk.parser.yy.LINETYPE.ALT_ELSE:case Nk.parser.yy.LINETYPE.PAR_AND:t.message&&(n=s.pop(),a[n.id]=n,a[t.id]=n,s.push(n));break;case Nk.parser.yy.LINETYPE.LOOP_END:case Nk.parser.yy.LINETYPE.ALT_END:case Nk.parser.yy.LINETYPE.OPT_END:case Nk.parser.yy.LINETYPE.PAR_END:n=s.pop(),a[n.id]=n;break;case Nk.parser.yy.LINETYPE.ACTIVE_START:var l=e[t.from?t.from.actor:t.to.actor],c=FS(t.from?t.from.actor:t.to.actor).length,u=l.x+l.width/2+(c-1)*DS.activationWidth/2,h={startx:u,stopx:u+DS.activationWidth,actor:t.from.actor,enabled:!0};OS.activations.push(h);break;case Nk.parser.yy.LINETYPE.ACTIVE_END:var f=OS.activations.map(function(t){return t.actor;}).lastIndexOf(t.from.actor);delete OS.activations.splice(f,1)[0];}void 0!==t.placement?(r=function(t,e){var n=e[t.from].x,r=e[t.to].x,i=t.wrap&&t.message,a=Vv.calculateTextDimensions(i?Vv.wrapLabel(t.message,DS.width,LS(DS)):t.message,LS(DS)),s={width:i?DS.width:Math.max(DS.width,a.width+2*DS.noteMargin),height:0,startx:e[t.from].x,stopx:0,starty:0,stopy:0,message:t.message};return t.placement===Nk.parser.yy.PLACEMENT.RIGHTOF?(s.width=i?Math.max(DS.width,a.width):Math.max(e[t.from].width/2+e[t.to].width/2,a.width+2*DS.noteMargin),s.startx=n+(e[t.from].width+DS.actorMargin)/2):t.placement===Nk.parser.yy.PLACEMENT.LEFTOF?(s.width=i?Math.max(DS.width,a.width+2*DS.noteMargin):Math.max(e[t.from].width/2+e[t.to].width/2,a.width+2*DS.noteMargin),s.startx=n-s.width+(e[t.from].width-DS.actorMargin)/2):t.to===t.from?(a=Vv.calculateTextDimensions(i?Vv.wrapLabel(t.message,Math.max(DS.width,e[t.from].width),LS(DS)):t.message,LS(DS)),s.width=i?Math.max(DS.width,e[t.from].width):Math.max(e[t.from].width,DS.width,a.width+2*DS.noteMargin),s.startx=n+(e[t.from].width-s.width)/2):(s.width=Math.abs(n+e[t.from].width/2-(r+e[t.to].width/2))+DS.actorMargin,s.startx=n<r?n+e[t.from].width/2-DS.actorMargin/2:r+e[t.to].width/2-DS.actorMargin/2),i&&(s.message=Vv.wrapLabel(t.message,s.width-2*DS.wrapPadding,LS(DS))),o.debug(\"NM:[\".concat(s.startx,\",\").concat(s.stopx,\",\").concat(s.starty,\",\").concat(s.stopy,\":\").concat(s.width,\",\").concat(s.height,\"=\").concat(t.message,\"]\")),s;}(t,e),t.noteModel=r,s.forEach(function(t){(n=t).from=Math.min(n.from,r.startx),n.to=Math.max(n.to,r.startx+r.width),n.width=Math.max(n.width,Math.abs(n.from-n.to))-DS.labelBoxWidth;})):(i=function(t,e){var n=!1;if([Nk.parser.yy.LINETYPE.SOLID_OPEN,Nk.parser.yy.LINETYPE.DOTTED_OPEN,Nk.parser.yy.LINETYPE.SOLID,Nk.parser.yy.LINETYPE.DOTTED,Nk.parser.yy.LINETYPE.SOLID_CROSS,Nk.parser.yy.LINETYPE.DOTTED_CROSS,Nk.parser.yy.LINETYPE.SOLID_POINT,Nk.parser.yy.LINETYPE.DOTTED_POINT].includes(t.type)&&(n=!0),!n)return{};var r=qS(t.from,e),i=qS(t.to,e),a=r[0]<=i[0]?1:0,o=r[0]<i[0]?0:1,s=r.concat(i),l=Math.abs(i[o]-r[a]);t.wrap&&t.message&&(t.message=Vv.wrapLabel(t.message,Math.max(l+2*DS.wrapPadding,DS.width),IS(DS)));var c=Vv.calculateTextDimensions(t.message,IS(DS));return{width:Math.max(t.wrap?0:c.width+2*DS.wrapPadding,l+2*DS.wrapPadding,DS.width),height:0,startx:r[a],stopx:i[o],starty:0,stopy:0,message:t.message,type:t.type,wrap:t.wrap,fromBounds:Math.min.apply(null,s),toBounds:Math.max.apply(null,s)};}(t,e),t.msgModel=i,i.startx&&i.stopx&&s.length>0&&s.forEach(function(r){if(n=r,i.startx===i.stopx){var a=e[t.from],o=e[t.to];n.from=Math.min(a.x-i.width/2,a.x-a.width/2,n.from),n.to=Math.max(o.x+i.width/2,o.x+a.width/2,n.to),n.width=Math.max(n.width,Math.abs(n.to-n.from))-DS.labelBoxWidth;}else n.from=Math.min(i.startx,n.from),n.to=Math.max(i.stopx,n.to),n.width=Math.max(n.width,i.width)-DS.labelBoxWidth;}));}),OS.activations=[],o.debug(\"Loop type widths:\",a),a;}(a,r);wS(n),CS(n),kS(n),SS(n);var u=1;a.forEach(function(t){var e,i,a;switch(t.type){case Nk.parser.yy.LINETYPE.NOTE:i=t.noteModel,function(t,e){OS.bumpVerticalPos(DS.boxMargin),e.height=DS.boxMargin,e.starty=OS.getVerticalPos();var n=NS();n.x=e.startx,n.y=e.starty,n.width=e.width||DS.width,n.class=\"note\";var r=t.append(\"g\"),i=mS(r,n),a=ES();a.x=e.startx,a.y=e.starty,a.width=n.width,a.dy=\"1em\",a.text=e.message,a.class=\"noteText\",a.fontFamily=DS.noteFontFamily,a.fontSize=DS.noteFontSize,a.fontWeight=DS.noteFontWeight,a.anchor=DS.noteAlign,a.textMargin=DS.noteMargin,a.valign=DS.noteAlign;var o=sS(r,a),s=Math.round(o.map(function(t){return(t._groups||t)[0][0].getBBox().height;}).reduce(function(t,e){return t+e;}));i.attr(\"height\",s+2*DS.noteMargin),e.height+=s+2*DS.noteMargin,OS.bumpVerticalPos(s+2*DS.noteMargin),e.stopy=e.starty+s+2*DS.noteMargin,e.stopx=e.startx+n.width,OS.insert(e.startx,e.starty,e.stopx,e.stopy),OS.models.addNote(e);}(n,i);break;case Nk.parser.yy.LINETYPE.ACTIVE_START:OS.newActivation(t,n,r);break;case Nk.parser.yy.LINETYPE.ACTIVE_END:!function(t,e){var r=OS.endActivation(t);r.starty+18>e&&(r.starty=e-6,e+=12),bS(n,r,e,DS,FS(t.from.actor).length),OS.insert(r.startx,e-10,r.stopx,e);}(t,OS.getVerticalPos());break;case Nk.parser.yy.LINETYPE.LOOP_START:jS(c,t,DS.boxMargin,DS.boxMargin+DS.boxTextMargin,function(t){return OS.newLoop(t);});break;case Nk.parser.yy.LINETYPE.LOOP_END:e=OS.endLoop(),_S(n,e,\"loop\",DS),OS.bumpVerticalPos(e.stopy-OS.getVerticalPos()),OS.models.addLoop(e);break;case Nk.parser.yy.LINETYPE.RECT_START:jS(c,t,DS.boxMargin,DS.boxMargin,function(t){return OS.newLoop(void 0,t.message);});break;case Nk.parser.yy.LINETYPE.RECT_END:e=OS.endLoop(),xS(n,e),OS.models.addLoop(e),OS.bumpVerticalPos(e.stopy-OS.getVerticalPos());break;case Nk.parser.yy.LINETYPE.OPT_START:jS(c,t,DS.boxMargin,DS.boxMargin+DS.boxTextMargin,function(t){return OS.newLoop(t);});break;case Nk.parser.yy.LINETYPE.OPT_END:e=OS.endLoop(),_S(n,e,\"opt\",DS),OS.bumpVerticalPos(e.stopy-OS.getVerticalPos()),OS.models.addLoop(e);break;case Nk.parser.yy.LINETYPE.ALT_START:jS(c,t,DS.boxMargin,DS.boxMargin+DS.boxTextMargin,function(t){return OS.newLoop(t);});break;case Nk.parser.yy.LINETYPE.ALT_ELSE:jS(c,t,DS.boxMargin+DS.boxTextMargin,DS.boxMargin,function(t){return OS.addSectionToLoop(t);});break;case Nk.parser.yy.LINETYPE.ALT_END:e=OS.endLoop(),_S(n,e,\"alt\",DS),OS.bumpVerticalPos(e.stopy-OS.getVerticalPos()),OS.models.addLoop(e);break;case Nk.parser.yy.LINETYPE.PAR_START:jS(c,t,DS.boxMargin,DS.boxMargin+DS.boxTextMargin,function(t){return OS.newLoop(t);});break;case Nk.parser.yy.LINETYPE.PAR_AND:jS(c,t,DS.boxMargin+DS.boxTextMargin,DS.boxMargin,function(t){return OS.addSectionToLoop(t);});break;case Nk.parser.yy.LINETYPE.PAR_END:e=OS.endLoop(),_S(n,e,\"par\",DS),OS.bumpVerticalPos(e.stopy-OS.getVerticalPos()),OS.models.addLoop(e);break;default:try{(a=t.msgModel).starty=OS.getVerticalPos(),a.sequenceIndex=u,function(t,e){OS.bumpVerticalPos(10);var n=e.startx,r=e.stopx,i=e.starty,a=e.message,o=e.type,s=e.sequenceIndex,l=Uy.splitBreaks(a).length,c=Vv.calculateTextDimensions(a,IS(DS)),u=c.height/l;e.height+=u,OS.bumpVerticalPos(u);var h=ES();h.x=n,h.y=i+10,h.width=r-n,h.class=\"messageText\",h.dy=\"1em\",h.text=a,h.fontFamily=DS.messageFontFamily,h.fontSize=DS.messageFontSize,h.fontWeight=DS.messageFontWeight,h.anchor=DS.messageAlign,h.valign=DS.messageAlign,h.textMargin=DS.wrapPadding,h.tspan=!1,sS(t,h);var f,d,p=c.height-10,m=c.width;if(n===r){d=OS.getVerticalPos()+p,DS.rightAngles?f=t.append(\"path\").attr(\"d\",\"M  \".concat(n,\",\").concat(d,\" H \").concat(n+Math.max(DS.width/2,m/2),\" V \").concat(d+25,\" H \").concat(n)):(p+=DS.boxMargin,d=OS.getVerticalPos()+p,f=t.append(\"path\").attr(\"d\",\"M \"+n+\",\"+d+\" C \"+(n+60)+\",\"+(d-10)+\" \"+(n+60)+\",\"+(d+30)+\" \"+n+\",\"+(d+20))),p+=30;var g=Math.max(m/2,DS.width/2);OS.insert(n-g,OS.getVerticalPos()-10+p,r+g,OS.getVerticalPos()+30+p);}else p+=DS.boxMargin,d=OS.getVerticalPos()+p,(f=t.append(\"line\")).attr(\"x1\",n),f.attr(\"y1\",d),f.attr(\"x2\",r),f.attr(\"y2\",d),OS.insert(n,d-10,r,d);o===Nk.parser.yy.LINETYPE.DOTTED||o===Nk.parser.yy.LINETYPE.DOTTED_CROSS||o===Nk.parser.yy.LINETYPE.DOTTED_POINT||o===Nk.parser.yy.LINETYPE.DOTTED_OPEN?(f.style(\"stroke-dasharray\",\"3, 3\"),f.attr(\"class\",\"messageLine1\")):f.attr(\"class\",\"messageLine0\");var y=\"\";DS.arrowMarkerAbsolute&&(y=(y=(y=window.location.protocol+\"//\"+window.location.host+window.location.pathname+window.location.search).replace(/\\(/g,\"\\\\(\")).replace(/\\)/g,\"\\\\)\")),f.attr(\"stroke-width\",2),f.attr(\"stroke\",\"none\"),f.style(\"fill\",\"none\"),o!==Nk.parser.yy.LINETYPE.SOLID&&o!==Nk.parser.yy.LINETYPE.DOTTED||f.attr(\"marker-end\",\"url(\"+y+\"#arrowhead)\"),o!==Nk.parser.yy.LINETYPE.SOLID_POINT&&o!==Nk.parser.yy.LINETYPE.DOTTED_POINT||f.attr(\"marker-end\",\"url(\"+y+\"#filled-head)\"),o!==Nk.parser.yy.LINETYPE.SOLID_CROSS&&o!==Nk.parser.yy.LINETYPE.DOTTED_CROSS||f.attr(\"marker-end\",\"url(\"+y+\"#crosshead)\"),(Jk.showSequenceNumbers()||DS.showSequenceNumbers)&&(f.attr(\"marker-start\",\"url(\"+y+\"#sequencenumber)\"),t.append(\"text\").attr(\"x\",n).attr(\"y\",d+4).attr(\"font-family\",\"sans-serif\").attr(\"font-size\",\"12px\").attr(\"text-anchor\",\"middle\").attr(\"textLength\",\"16px\").attr(\"class\",\"sequenceNumber\").text(s)),OS.bumpVerticalPos(p),e.height+=p,e.stopy=e.starty+e.height,OS.insert(e.fromBounds,e.starty,e.toBounds,e.stopy);}(n,a),OS.models.addMessage(a);}catch(t){o.error(\"error while drawing message\",t);}}[Nk.parser.yy.LINETYPE.SOLID_OPEN,Nk.parser.yy.LINETYPE.DOTTED_OPEN,Nk.parser.yy.LINETYPE.SOLID,Nk.parser.yy.LINETYPE.DOTTED,Nk.parser.yy.LINETYPE.SOLID_CROSS,Nk.parser.yy.LINETYPE.DOTTED_CROSS,Nk.parser.yy.LINETYPE.SOLID_POINT,Nk.parser.yy.LINETYPE.DOTTED_POINT].includes(t.type)&&u++;}),DS.mirrorActors&&(OS.bumpVerticalPos(2*DS.boxMargin),RS(n,r,i,OS.getVerticalPos()),OS.bumpVerticalPos(DS.boxMargin),uS(n,OS.getVerticalPos()));var h=zS(n,r,i),f=OS.getBounds().bounds;o.debug(\"For line height fix Querying: #\"+e+\" .actor-line\"),oc(\"#\"+e+\" .actor-line\").attr(\"y2\",f.stopy);var d=f.stopy-f.starty;d<h.maxHeight&&(d=h.maxHeight);var p=d+2*DS.diagramMarginY;DS.mirrorActors&&(p=p-DS.boxMargin+DS.bottomMarginAdj);var m=f.stopx-f.startx;m<h.maxWidth&&(m=h.maxWidth);var g=m+2*DS.diagramMarginX;s&&n.append(\"text\").text(s).attr(\"x\",(f.stopx-f.startx)/2-2*DS.diagramMarginX).attr(\"y\",-25),jv(n,p,g,DS.useMaxWidth);var y=s?40:0;n.attr(\"viewBox\",f.startx-DS.diagramMarginX+\" -\"+(DS.diagramMarginY+y)+\" \"+g+\" \"+(p+y)),o.debug(\"models:\",OS.models);}};var VS=n(3584),YS=n.n(VS);function $S(t){return $S=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(t){return typeof t;}:function(t){return t&&\"function\"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t;},$S(t);}var GS=function(t){return JSON.parse(JSON.stringify(t));},WS=[],XS=function t(e,n,r){if(\"relation\"===n.stmt)t(e,n.state1,!0),t(e,n.state2,!1);else if(\"state\"===n.stmt&&\"[*]\"===n.id&&(n.id=r?e.id+\"_start\":e.id+\"_end\",n.start=r),n.doc){var i=[],a=0,o=[];for(a=0;a<n.doc.length;a++)if(\"divider\"===n.doc[a].type){var s=GS(n.doc[a]);s.doc=GS(o),i.push(s),o=[];}else o.push(n.doc[a]);if(i.length>0&&o.length>0){var l={stmt:\"state\",id:Ov(),type:\"divider\",doc:GS(o)};i.push(GS(l)),n.doc=i;}n.doc.forEach(function(e){return 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n=e.id,r={id:n,label:e.id,width:0,height:0},i=t.append(\"g\").attr(\"id\",n).attr(\"class\",\"stateGroup\");\"start\"===e.type&&function(t){t.append(\"circle\").attr(\"class\",\"start-state\").attr(\"r\",Jv().state.sizeUnit).attr(\"cx\",Jv().state.padding+Jv().state.sizeUnit).attr(\"cy\",Jv().state.padding+Jv().state.sizeUnit);}(i),\"end\"===e.type&&function(t){t.append(\"circle\").attr(\"class\",\"end-state-outer\").attr(\"r\",Jv().state.sizeUnit+Jv().state.miniPadding).attr(\"cx\",Jv().state.padding+Jv().state.sizeUnit+Jv().state.miniPadding).attr(\"cy\",Jv().state.padding+Jv().state.sizeUnit+Jv().state.miniPadding),t.append(\"circle\").attr(\"class\",\"end-state-inner\").attr(\"r\",Jv().state.sizeUnit).attr(\"cx\",Jv().state.padding+Jv().state.sizeUnit+2).attr(\"cy\",Jv().state.padding+Jv().state.sizeUnit+2);}(i),\"fork\"!==e.type&&\"join\"!==e.type||function(t,e){var n=Jv().state.forkWidth,r=Jv().state.forkHeight;if(e.parentId){var 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n=t.append(\"text\").attr(\"x\",2*Jv().state.padding).attr(\"y\",Jv().state.textHeight+2*Jv().state.padding).attr(\"font-size\",Jv().state.fontSize).attr(\"class\",\"state-title\").text(e.id).node().getBBox();t.insert(\"rect\",\":first-child\").attr(\"x\",Jv().state.padding).attr(\"y\",Jv().state.padding).attr(\"width\",n.width+2*Jv().state.padding).attr(\"height\",n.height+2*Jv().state.padding).attr(\"rx\",Jv().state.radius);}(i,e),\"default\"===e.type&&e.descriptions.length>0&&function(t,e){var n=t.append(\"text\").attr(\"x\",2*Jv().state.padding).attr(\"y\",Jv().state.textHeight+1.3*Jv().state.padding).attr(\"font-size\",Jv().state.fontSize).attr(\"class\",\"state-title\").text(e.descriptions[0]).node().getBBox(),r=n.height,i=t.append(\"text\").attr(\"x\",Jv().state.padding).attr(\"y\",r+.4*Jv().state.padding+Jv().state.dividerMargin+Jv().state.textHeight).attr(\"class\",\"state-description\"),a=!0,o=!0;e.descriptions.forEach(function(t){a||(function(t,e,n){var 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a,s=new(wb().Graph)({compound:!0,multigraph:!0}),l=!0;for(a=0;a<e.length;a++)if(\"relation\"===e[a].stmt){l=!1;break;}r?s.setGraph({rankdir:\"LR\",multigraph:!0,compound:!0,ranker:\"tight-tree\",ranksep:l?1:cC.edgeLengthFactor,nodeSep:l?1:50,isMultiGraph:!0}):s.setGraph({rankdir:\"TB\",multigraph:!0,compound:!0,ranksep:l?1:cC.edgeLengthFactor,nodeSep:l?1:50,ranker:\"tight-tree\",isMultiGraph:!0}),s.setDefaultEdgeLabel(function(){return{};}),oC.extract(e);for(var c=oC.getStates(),u=oC.getRelations(),h=Object.keys(c),f=0;f<h.length;f++){var d=c[h[f]];r&&(d.parentId=r);var p=void 0;if(d.doc){var m=n.append(\"g\").attr(\"id\",d.id).attr(\"class\",\"stateGroup\");p=t(d.doc,m,d.id,!i);var g=(m=uC(m,d,i)).node().getBBox();p.width=g.width,p.height=g.height+cC.padding/2,pC[d.id]={y:cC.compositTitleSize};}else p=fC(n,d);if(d.note){var y={descriptions:[],id:d.id+\"-note\",note:d.note,type:\"note\"},v=fC(n,y);\"left 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e=t.parentElement,n=0,r=0;e&&(e.parentElement&&(n=e.parentElement.getBBox().width),r=parseInt(e.getAttribute(\"data-x-shift\"),10),Number.isNaN(r)&&(r=0)),t.setAttribute(\"x1\",0-r+8),t.setAttribute(\"x2\",n-r-8);})):o.debug(\"No Node \"+t+\": \"+JSON.stringify(s.node(t)));});var x=_.getBBox();s.edges().forEach(function(t){void 0!==t&&void 0!==s.edge(t)&&(o.debug(\"Edge \"+t.v+\" -> \"+t.w+\": \"+JSON.stringify(s.edge(t))),function(t,e,n){e.points=e.points.filter(function(t){return!Number.isNaN(t.y);});var r=e.points,i=jc().x(function(t){return t.x;}).y(function(t){return t.y;}).curve(Gc),a=t.append(\"path\").attr(\"d\",i(r)).attr(\"id\",\"edge\"+dC).attr(\"class\",\"transition\"),s=\"\";if(Jv().state.arrowMarkerAbsolute&&(s=(s=(s=window.location.protocol+\"//\"+window.location.host+window.location.pathname+window.location.search).replace(/\\(/g,\"\\\\(\")).replace(/\\)/g,\"\\\\)\")),a.attr(\"marker-end\",\"url(\"+s+\"#\"+function(t){switch(t){case oC.relationType.AGGREGATION:return\"aggregation\";case oC.relationType.EXTENSION:return\"extension\";case oC.relationType.COMPOSITION:return\"composition\";case oC.relationType.DEPENDENCY:return\"dependency\";}}(oC.relationType.DEPENDENCY)+\"End)\"),void 0!==n.title){for(var l=t.append(\"g\").attr(\"class\",\"stateLabel\"),c=Vv.calcLabelPosition(e.points),u=c.x,h=c.y,f=Uy.getRows(n.title),d=0,p=[],m=0,g=0,y=0;y<=f.length;y++){var v=l.append(\"text\").attr(\"text-anchor\",\"middle\").text(f[y]).attr(\"x\",u).attr(\"y\",h+d),b=v.node().getBBox();if(m=Math.max(m,b.width),g=Math.min(g,b.x),o.info(b.x,u,h+d),0===d){var _=v.node().getBBox();d=_.height,o.info(\"Title height\",d,h);}p.push(v);}var x=d*f.length;if(f.length>1){var w=(f.length-1)*d*.5;p.forEach(function(t,e){return t.attr(\"y\",h+e*d-w);}),x=d*f.length;}var k=l.node().getBBox();l.insert(\"rect\",\":first-child\").attr(\"class\",\"box\").attr(\"x\",u-m/2-Jv().state.padding/2).attr(\"y\",h-x/2-Jv().state.padding/2-3.5).attr(\"width\",m+Jv().state.padding).attr(\"height\",x+Jv().state.padding),o.info(k);}dC++;}(n,s.edge(t),s.edge(t).relation));}),x=_.getBBox();var w={id:r||\"root\",label:r||\"root\",width:0,height:0};return w.width=x.width+2*cC.padding,w.height=x.height+2*cC.padding,o.debug(\"Doc rendered\",w,s),w;};const gC=function(t,e){cC=Jv().state,VS.parser.yy.clear(),VS.parser.parse(t),o.debug(\"Rendering diagram \"+t);var n=ac(\"[id='\".concat(e,\"']\"));n.append(\"defs\").append(\"marker\").attr(\"id\",\"dependencyEnd\").attr(\"refX\",19).attr(\"refY\",7).attr(\"markerWidth\",20).attr(\"markerHeight\",28).attr(\"orient\",\"auto\").append(\"path\").attr(\"d\",\"M 19,7 L9,13 L14,7 L9,1 Z\"),new(wb().Graph)({multigraph:!0,compound:!0,rankdir:\"RL\"}).setDefaultEdgeLabel(function(){return{};});var r=oC.getRootDoc();mC(r,n,void 0,!1);var i=cC.padding,a=n.node().getBBox(),s=a.width+2*i,l=a.height+2*i;jv(n,l,1.75*s,cC.useMaxWidth),n.attr(\"viewBox\",\"\".concat(a.x-cC.padding,\"  \").concat(a.y-cC.padding,\" \")+s+\" \"+l);};var yC={},vC={},bC=function(t,e,n,r){if(\"root\"!==n.id){var i=\"rect\";!0===n.start&&(i=\"start\"),!1===n.start&&(i=\"end\"),\"default\"!==n.type&&(i=n.type),vC[n.id]||(vC[n.id]={id:n.id,shape:i,description:Uy.sanitizeText(n.id,Jv()),classes:\"statediagram-state\"}),n.description&&(Array.isArray(vC[n.id].description)?(vC[n.id].shape=\"rectWithTitle\",vC[n.id].description.push(n.description)):vC[n.id].description.length>0?(vC[n.id].shape=\"rectWithTitle\",vC[n.id].description===n.id?vC[n.id].description=[n.description]:vC[n.id].description=[vC[n.id].description,n.description]):(vC[n.id].shape=\"rect\",vC[n.id].description=n.description),vC[n.id].description=Uy.sanitizeTextOrArray(vC[n.id].description,Jv())),1===vC[n.id].description.length&&\"rectWithTitle\"===vC[n.id].shape&&(vC[n.id].shape=\"rect\"),!vC[n.id].type&&n.doc&&(o.info(\"Setting cluster for \",n.id,wC(n)),vC[n.id].type=\"group\",vC[n.id].dir=wC(n),vC[n.id].shape=\"divider\"===n.type?\"divider\":\"roundedWithTitle\",vC[n.id].classes=vC[n.id].classes+\" \"+(r?\"statediagram-cluster statediagram-cluster-alt\":\"statediagram-cluster\"));var a={labelStyle:\"\",shape:vC[n.id].shape,labelText:vC[n.id].description,classes:vC[n.id].classes,style:\"\",id:n.id,dir:vC[n.id].dir,domId:\"state-\"+n.id+\"-\"+_C,type:vC[n.id].type,padding:15};if(n.note){var s={labelStyle:\"\",shape:\"note\",labelText:n.note.text,classes:\"statediagram-note\",style:\"\",id:n.id+\"----note-\"+_C,domId:\"state-\"+n.id+\"----note-\"+_C,type:vC[n.id].type,padding:15},l={labelStyle:\"\",shape:\"noteGroup\",labelText:n.note.text,classes:vC[n.id].classes,style:\"\",id:n.id+\"----parent\",domId:\"state-\"+n.id+\"----parent-\"+_C,type:\"group\",padding:0};_C++,t.setNode(n.id+\"----parent\",l),t.setNode(s.id,s),t.setNode(n.id,a),t.setParent(n.id,n.id+\"----parent\"),t.setParent(s.id,n.id+\"----parent\");var c=n.id,u=s.id;\"left of\"===n.note.position&&(c=s.id,u=n.id),t.setEdge(c,u,{arrowhead:\"none\",arrowType:\"\",style:\"fill:none\",labelStyle:\"\",classes:\"transition note-edge\",arrowheadStyle:\"fill: #333\",labelpos:\"c\",labelType:\"text\",thickness:\"normal\"});}else t.setNode(n.id,a);}e&&\"root\"!==e.id&&(o.trace(\"Setting node \",n.id,\" to be child of its parent \",e.id),t.setParent(n.id,e.id)),n.doc&&(o.trace(\"Adding nodes children \"),xC(t,n,n.doc,!r));},_C=0,xC=function(t,e,n,r){o.trace(\"items\",n),n.forEach(function(n){if(\"state\"===n.stmt||\"default\"===n.stmt)bC(t,e,n,r);else if(\"relation\"===n.stmt){bC(t,e,n.state1,r),bC(t,e,n.state2,r);var i={id:\"edge\"+_C,arrowhead:\"normal\",arrowTypeEnd:\"arrow_barb\",style:\"fill:none\",labelStyle:\"\",label:Uy.sanitizeText(n.description,Jv()),arrowheadStyle:\"fill: #333\",labelpos:\"c\",labelType:\"text\",thickness:\"normal\",classes:\"transition\"},a=n.state1.id,o=n.state2.id;t.setEdge(a,o,i,_C),_C++;}});},wC=function(t,e){var n=e||\"TB\";if(t.doc)for(var r=0;r<t.doc.length;r++){var i=t.doc[r];\"dir\"===i.stmt&&(n=i.value);}return n;};const kC=function(t){for(var e=Object.keys(t),n=0;n<e.length;n++)yC[e[n]]=t[e[n]];};function SC(t){return function(t){if(Array.isArray(t))return CC(t);}(t)||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t);}(t)||function(t,e){if(t){if(\"string\"==typeof t)return CC(t,e);var n=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===n&&t.constructor&&(n=t.constructor.name),\"Map\"===n||\"Set\"===n?Array.from(t):\"Arguments\"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)?CC(t,e):void 0;}}(t)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\");}();}function CC(t,e){(null==e||e>t.length)&&(e=t.length);for(var n=0,r=new Array(e);n<e;n++)r[n]=t[n];return r;}var MC=\"\",TC=\"\",AC=[],EC=[],NC=[],DC=function(){for(var t=!0,e=0;e<NC.length;e++)NC[e].processed,t=t&&NC[e].processed;return t;};const OC={parseDirective:function(t,e,n){sM.parseDirective(this,t,e,n);},getConfig:function(){return Jv().journey;},clear:function(){AC.length=0,EC.length=0,TC=\"\",MC=\"\",NC.length=0;},setTitle:function(t){MC=t;},getTitle:function(){return MC;},addSection:function(t){TC=t,AC.push(t);},getSections:function(){return AC;},getTasks:function(){for(var t=DC(),e=0;!t&&e<100;)t=DC(),e++;return EC.push.apply(EC,NC),EC;},addTask:function(t,e){var n=e.substr(1).split(\":\"),r=0,i=[];1===n.length?(r=Number(n[0]),i=[]):(r=Number(n[0]),i=n[1].split(\",\"));var a=i.map(function(t){return t.trim();}),o={section:TC,type:TC,people:a,task:t,score:r};NC.push(o);},addTaskOrg:function(t){var e={section:TC,type:TC,description:t,task:t,classes:[]};EC.push(e);},getActors:function(){return t=[],EC.forEach(function(e){e.people&&t.push.apply(t,SC(e.people));}),SC(new Set(t)).sort();var t;}};var IC=n(9763),LC=n.n(IC),BC=function(t,e){var n=t.append(\"rect\");return n.attr(\"x\",e.x),n.attr(\"y\",e.y),n.attr(\"fill\",e.fill),n.attr(\"stroke\",e.stroke),n.attr(\"width\",e.width),n.attr(\"height\",e.height),n.attr(\"rx\",e.rx),n.attr(\"ry\",e.ry),void 0!==e.class&&n.attr(\"class\",e.class),n;},RC=function(t,e){var n=t.append(\"circle\");return n.attr(\"cx\",e.cx),n.attr(\"cy\",e.cy),n.attr(\"class\",\"actor-\"+e.pos),n.attr(\"fill\",e.fill),n.attr(\"stroke\",e.stroke),n.attr(\"r\",e.r),void 0!==n.class&&n.attr(\"class\",n.class),void 0!==e.title&&n.append(\"title\").text(e.title),n;},zC=-1,PC=function(){function t(t,e,n,i,a,o,s,l){r(e.append(\"text\").attr(\"x\",n+a/2).attr(\"y\",i+o/2+5).style(\"font-color\",l).style(\"text-anchor\",\"middle\").text(t),s);}function e(t,e,n,i,a,o,s,l,c){for(var u=l.taskFontSize,h=l.taskFontFamily,f=t.split(/<br\\s*\\/?>/gi),d=0;d<f.length;d++){var p=d*u-u*(f.length-1)/2,m=e.append(\"text\").attr(\"x\",n+a/2).attr(\"y\",i).attr(\"fill\",c).style(\"text-anchor\",\"middle\").style(\"font-size\",u).style(\"font-family\",h);m.append(\"tspan\").attr(\"x\",n+a/2).attr(\"dy\",p).text(f[d]),m.attr(\"y\",i+o/2).attr(\"dominant-baseline\",\"central\").attr(\"alignment-baseline\",\"central\"),r(m,s);}}function n(t,n,i,a,o,s,l,c){var u=n.append(\"switch\"),h=u.append(\"foreignObject\").attr(\"x\",i).attr(\"y\",a).attr(\"width\",o).attr(\"height\",s).attr(\"position\",\"fixed\").append(\"xhtml:div\").style(\"display\",\"table\").style(\"height\",\"100%\").style(\"width\",\"100%\");h.append(\"div\").attr(\"class\",\"label\").style(\"display\",\"table-cell\").style(\"text-align\",\"center\").style(\"vertical-align\",\"middle\").text(t),e(t,u,i,a,o,s,l,c),r(h,l);}function r(t,e){for(var n in e)n in e&&t.attr(n,e[n]);}return function(r){return\"fo\"===r.textPlacement?n:\"old\"===r.textPlacement?t:e;};}();const FC=RC,qC=function(t,e,n){var r=t.append(\"g\"),i={x:0,y:0,width:100,anchor:\"start\",height:100,rx:0,ry:0};i.x=e.x,i.y=e.y,i.fill=e.fill,i.width=n.width,i.height=n.height,i.class=\"journey-section section-type-\"+e.num,i.rx=3,i.ry=3,BC(r,i),PC(n)(e.text,r,i.x,i.y,i.width,i.height,{class:\"journey-section section-type-\"+e.num},n,e.colour);},jC=function(t,e){var n=e.text.replace(/<br\\s*\\/?>/gi,\" \"),r=t.append(\"text\");r.attr(\"x\",e.x),r.attr(\"y\",e.y),r.attr(\"class\",\"legend\"),r.style(\"text-anchor\",e.anchor),void 0!==e.class&&r.attr(\"class\",e.class);var i=r.append(\"tspan\");return i.attr(\"x\",e.x+2*e.textMargin),i.text(n),r;},UC=function(t,e,n){var r,i,a,o=e.x+n.width/2,s=t.append(\"g\");zC++,s.append(\"line\").attr(\"id\",\"task\"+zC).attr(\"x1\",o).attr(\"y1\",e.y).attr(\"x2\",o).attr(\"y2\",450).attr(\"class\",\"task-line\").attr(\"stroke-width\",\"1px\").attr(\"stroke-dasharray\",\"4 2\").attr(\"stroke\",\"#666\"),r=s,i={cx:o,cy:300+30*(5-e.score),score:e.score},r.append(\"circle\").attr(\"cx\",i.cx).attr(\"cy\",i.cy).attr(\"class\",\"face\").attr(\"r\",15).attr(\"stroke-width\",2).attr(\"overflow\",\"visible\"),(a=r.append(\"g\")).append(\"circle\").attr(\"cx\",i.cx-5).attr(\"cy\",i.cy-5).attr(\"r\",1.5).attr(\"stroke-width\",2).attr(\"fill\",\"#666\").attr(\"stroke\",\"#666\"),a.append(\"circle\").attr(\"cx\",i.cx+5).attr(\"cy\",i.cy-5).attr(\"r\",1.5).attr(\"stroke-width\",2).attr(\"fill\",\"#666\").attr(\"stroke\",\"#666\"),i.score>3?function(t){var e=Bc().startAngle(Math.PI/2).endAngle(Math.PI/2*3).innerRadius(7.5).outerRadius(15/2.2);t.append(\"path\").attr(\"class\",\"mouth\").attr(\"d\",e).attr(\"transform\",\"translate(\"+i.cx+\",\"+(i.cy+2)+\")\");}(a):i.score<3?function(t){var e=Bc().startAngle(3*Math.PI/2).endAngle(Math.PI/2*5).innerRadius(7.5).outerRadius(15/2.2);t.append(\"path\").attr(\"class\",\"mouth\").attr(\"d\",e).attr(\"transform\",\"translate(\"+i.cx+\",\"+(i.cy+7)+\")\");}(a):function(t){t.append(\"line\").attr(\"class\",\"mouth\").attr(\"stroke\",2).attr(\"x1\",i.cx-5).attr(\"y1\",i.cy+7).attr(\"x2\",i.cx+5).attr(\"y2\",i.cy+7).attr(\"class\",\"mouth\").attr(\"stroke-width\",\"1px\").attr(\"stroke\",\"#666\");}(a);var l={x:0,y:0,width:100,anchor:\"start\",height:100,rx:0,ry:0};l.x=e.x,l.y=e.y,l.fill=e.fill,l.width=n.width,l.height=n.height,l.class=\"task task-type-\"+e.num,l.rx=3,l.ry=3,BC(s,l);var c=e.x+14;e.people.forEach(function(t){var n=e.actors[t].color,r={cx:c,cy:e.y,r:7,fill:n,stroke:\"#000\",title:t,pos:e.actors[t].position};RC(s,r),c+=10;}),PC(n)(e.task,s,l.x,l.y,l.width,l.height,{class:\"task\"},n,e.colour);};IC.parser.yy=OC;var HC={},VC=Jv().journey,YC=Jv().journey.leftMargin,$C={data:{startx:void 0,stopx:void 0,starty:void 0,stopy:void 0},verticalPos:0,sequenceItems:[],init:function(){this.sequenceItems=[],this.data={startx:void 0,stopx:void 0,starty:void 0,stopy:void 0},this.verticalPos=0;},updateVal:function(t,e,n,r){void 0===t[e]?t[e]=n:t[e]=r(n,t[e]);},updateBounds:function(t,e,n,r){var i=Jv().journey,a=this,o=0;this.sequenceItems.forEach(function(s){o++;var l=a.sequenceItems.length-o+1;a.updateVal(s,\"starty\",e-l*i.boxMargin,Math.min),a.updateVal(s,\"stopy\",r+l*i.boxMargin,Math.max),a.updateVal($C.data,\"startx\",t-l*i.boxMargin,Math.min),a.updateVal($C.data,\"stopx\",n+l*i.boxMargin,Math.max),a.updateVal(s,\"startx\",t-l*i.boxMargin,Math.min),a.updateVal(s,\"stopx\",n+l*i.boxMargin,Math.max),a.updateVal($C.data,\"starty\",e-l*i.boxMargin,Math.min),a.updateVal($C.data,\"stopy\",r+l*i.boxMargin,Math.max);});},insert:function(t,e,n,r){var i=Math.min(t,n),a=Math.max(t,n),o=Math.min(e,r),s=Math.max(e,r);this.updateVal($C.data,\"startx\",i,Math.min),this.updateVal($C.data,\"starty\",o,Math.min),this.updateVal($C.data,\"stopx\",a,Math.max),this.updateVal($C.data,\"stopy\",s,Math.max),this.updateBounds(i,o,a,s);},bumpVerticalPos:function(t){this.verticalPos=this.verticalPos+t,this.data.stopy=this.verticalPos;},getVerticalPos:function(){return this.verticalPos;},getBounds:function(){return this.data;}},GC=VC.sectionFills,WC=VC.sectionColours;const XC=function(t){Object.keys(t).forEach(function(e){VC[e]=t[e];});},ZC=function(t,e){var n=Jv().journey;IC.parser.yy.clear(),IC.parser.parse(t+\"\\n\"),$C.init();var r=ac(\"#\"+e);r.attr(\"xmlns:xlink\",\"http://www.w3.org/1999/xlink\"),r.append(\"defs\").append(\"marker\").attr(\"id\",\"arrowhead\").attr(\"refX\",5).attr(\"refY\",2).attr(\"markerWidth\",6).attr(\"markerHeight\",4).attr(\"orient\",\"auto\").append(\"path\").attr(\"d\",\"M 0,0 V 4 L6,2 Z\");var i=IC.parser.yy.getTasks(),a=IC.parser.yy.getTitle(),o=IC.parser.yy.getActors();for(var s in HC)delete HC[s];var l=0;o.forEach(function(t){HC[t]={color:n.actorColours[l%n.actorColours.length],position:l},l++;}),function(t){var e=Jv().journey,n=60;Object.keys(HC).forEach(function(r){var i=HC[r].color,a={cx:20,cy:n,r:7,fill:i,stroke:\"#000\",pos:HC[r].position};FC(t,a);var o={x:40,y:n+7,fill:\"#666\",text:r,textMargin:5|e.boxTextMargin};jC(t,o),n+=20;});}(r),$C.insert(0,0,YC,50*Object.keys(HC).length),function(t,e,n){for(var r=Jv().journey,i=\"\",a=n+(2*r.height+r.diagramMarginY),o=0,s=\"#CCC\",l=\"black\",c=0,u=0;u<e.length;u++){var h=e[u];if(i!==h.section){s=GC[o%GC.length],c=o%GC.length,l=WC[o%WC.length];var f={x:u*r.taskMargin+u*r.width+YC,y:50,text:h.section,fill:s,num:c,colour:l};qC(t,f,r),i=h.section,o++;}var d=h.people.reduce(function(t,e){return HC[e]&&(t[e]=HC[e]),t;},{});h.x=u*r.taskMargin+u*r.width+YC,h.y=a,h.width=r.diagramMarginX,h.height=r.diagramMarginY,h.colour=l,h.fill=s,h.num=c,h.actors=d,UC(t,h,r),$C.insert(h.x,h.y,h.x+h.width+r.taskMargin,450);}}(r,i,0);var c=$C.getBounds();a&&r.append(\"text\").text(a).attr(\"x\",YC).attr(\"font-size\",\"4ex\").attr(\"font-weight\",\"bold\").attr(\"y\",25);var u=c.stopy-c.starty+2*n.diagramMarginY,h=YC+c.stopx+2*n.diagramMarginX;jv(r,u,h,n.useMaxWidth),r.append(\"line\").attr(\"x1\",YC).attr(\"y1\",4*n.height).attr(\"x2\",h-YC-4).attr(\"y2\",4*n.height).attr(\"stroke-width\",4).attr(\"stroke\",\"black\").attr(\"marker-end\",\"url(#arrowhead)\");var f=a?70:0;r.attr(\"viewBox\",\"\".concat(c.startx,\" -25 \").concat(h,\" \").concat(u+f)),r.attr(\"preserveAspectRatio\",\"xMinYMin meet\"),r.attr(\"height\",u+f+25);};var KC={};const QC=function(t){return\"g.classGroup text {\\n  fill: \".concat(t.nodeBorder,\";\\n  fill: \").concat(t.classText,\";\\n  stroke: none;\\n  font-family: \").concat(t.fontFamily,\";\\n  font-size: 10px;\\n\\n  .title {\\n    font-weight: bolder;\\n  }\\n\\n}\\n\\n.nodeLabel, .edgeLabel {\\n  color: \").concat(t.classText,\";\\n}\\n.edgeLabel .label rect {\\n  fill: \").concat(t.mainBkg,\";\\n}\\n.label text {\\n  fill: \").concat(t.classText,\";\\n}\\n.edgeLabel .label span {\\n  background: \").concat(t.mainBkg,\";\\n}\\n\\n.classTitle {\\n  font-weight: bolder;\\n}\\n.node rect,\\n  .node circle,\\n  .node ellipse,\\n  .node polygon,\\n  .node path {\\n    fill: \").concat(t.mainBkg,\";\\n    stroke: \").concat(t.nodeBorder,\";\\n    stroke-width: 1px;\\n  }\\n\\n\\n.divider {\\n  stroke: \").concat(t.nodeBorder,\";\\n  stroke: 1;\\n}\\n\\ng.clickable {\\n  cursor: pointer;\\n}\\n\\ng.classGroup rect {\\n  fill: \").concat(t.mainBkg,\";\\n  stroke: \").concat(t.nodeBorder,\";\\n}\\n\\ng.classGroup line {\\n  stroke: \").concat(t.nodeBorder,\";\\n  stroke-width: 1;\\n}\\n\\n.classLabel .box {\\n  stroke: none;\\n  stroke-width: 0;\\n  fill: \").concat(t.mainBkg,\";\\n  opacity: 0.5;\\n}\\n\\n.classLabel .label {\\n  fill: \").concat(t.nodeBorder,\";\\n  font-size: 10px;\\n}\\n\\n.relation {\\n  stroke: \").concat(t.lineColor,\";\\n  stroke-width: 1;\\n  fill: none;\\n}\\n\\n.dashed-line{\\n  stroke-dasharray: 3;\\n}\\n\\n#compositionStart, .composition {\\n  fill: \").concat(t.lineColor,\" !important;\\n  stroke: \").concat(t.lineColor,\" !important;\\n  stroke-width: 1;\\n}\\n\\n#compositionEnd, .composition {\\n  fill: \").concat(t.lineColor,\" !important;\\n  stroke: \").concat(t.lineColor,\" !important;\\n  stroke-width: 1;\\n}\\n\\n#dependencyStart, .dependency {\\n  fill: \").concat(t.lineColor,\" !important;\\n  stroke: \").concat(t.lineColor,\" !important;\\n  stroke-width: 1;\\n}\\n\\n#dependencyStart, .dependency {\\n  fill: \").concat(t.lineColor,\" !important;\\n  stroke: \").concat(t.lineColor,\" !important;\\n  stroke-width: 1;\\n}\\n\\n#extensionStart, .extension {\\n  fill: \").concat(t.lineColor,\" !important;\\n  stroke: \").concat(t.lineColor,\" !important;\\n  stroke-width: 1;\\n}\\n\\n#extensionEnd, .extension {\\n  fill: \").concat(t.lineColor,\" !important;\\n  stroke: \").concat(t.lineColor,\" !important;\\n  stroke-width: 1;\\n}\\n\\n#aggregationStart, .aggregation {\\n  fill: \").concat(t.mainBkg,\" !important;\\n  stroke: \").concat(t.lineColor,\" !important;\\n  stroke-width: 1;\\n}\\n\\n#aggregationEnd, .aggregation {\\n  fill: \").concat(t.mainBkg,\" !important;\\n  stroke: \").concat(t.lineColor,\" !important;\\n  stroke-width: 1;\\n}\\n\\n.edgeTerminals {\\n  font-size: 11px;\\n}\\n\\n\");},JC=function(t){return\".label {\\n    font-family: \".concat(t.fontFamily,\";\\n    color: \").concat(t.nodeTextColor||t.textColor,\";\\n  }\\n  .cluster-label text {\\n    fill: \").concat(t.titleColor,\";\\n  }\\n  .cluster-label span {\\n    color: \").concat(t.titleColor,\";\\n  }\\n\\n  .label text,span {\\n    fill: \").concat(t.nodeTextColor||t.textColor,\";\\n    color: \").concat(t.nodeTextColor||t.textColor,\";\\n  }\\n\\n  .node rect,\\n  .node circle,\\n  .node ellipse,\\n  .node polygon,\\n  .node path {\\n    fill: \").concat(t.mainBkg,\";\\n    stroke: \").concat(t.nodeBorder,\";\\n    stroke-width: 1px;\\n  }\\n\\n  .node .label {\\n    text-align: center;\\n  }\\n  .node.clickable {\\n    cursor: pointer;\\n  }\\n\\n  .arrowheadPath {\\n    fill: \").concat(t.arrowheadColor,\";\\n  }\\n\\n  .edgePath .path {\\n    stroke: \").concat(t.lineColor,\";\\n    stroke-width: 2.0px;\\n  }\\n\\n  .flowchart-link {\\n    stroke: \").concat(t.lineColor,\";\\n    fill: none;\\n  }\\n\\n  .edgeLabel {\\n    background-color: \").concat(t.edgeLabelBackground,\";\\n    rect {\\n      opacity: 0.5;\\n      background-color: \").concat(t.edgeLabelBackground,\";\\n      fill: \").concat(t.edgeLabelBackground,\";\\n    }\\n    text-align: center;\\n  }\\n\\n  .cluster rect {\\n    fill: \").concat(t.clusterBkg,\";\\n    stroke: \").concat(t.clusterBorder,\";\\n    stroke-width: 1px;\\n  }\\n\\n  .cluster text {\\n    fill: \").concat(t.titleColor,\";\\n  }\\n\\n  .cluster span {\\n    color: \").concat(t.titleColor,\";\\n  }\\n  /* .cluster div {\\n    color: \").concat(t.titleColor,\";\\n  } */\\n\\n  div.mermaidTooltip {\\n    position: absolute;\\n    text-align: center;\\n    max-width: 200px;\\n    padding: 2px;\\n    font-family: \").concat(t.fontFamily,\";\\n    font-size: 12px;\\n    background: \").concat(t.tertiaryColor,\";\\n    border: 1px solid \").concat(t.border2,\";\\n    border-radius: 2px;\\n    pointer-events: none;\\n    z-index: 100;\\n  }\\n\");},tM=function(t){return\"\\ndefs #statediagram-barbEnd {\\n    fill: \".concat(t.transitionColor,\";\\n    stroke: \").concat(t.transitionColor,\";\\n  }\\ng.stateGroup text {\\n  fill: \").concat(t.nodeBorder,\";\\n  stroke: none;\\n  font-size: 10px;\\n}\\ng.stateGroup text {\\n  fill: \").concat(t.textColor,\";\\n  stroke: none;\\n  font-size: 10px;\\n\\n}\\ng.stateGroup .state-title {\\n  font-weight: bolder;\\n  fill: \").concat(t.stateLabelColor,\";\\n}\\n\\ng.stateGroup rect {\\n  fill: \").concat(t.mainBkg,\";\\n  stroke: \").concat(t.nodeBorder,\";\\n}\\n\\ng.stateGroup line {\\n  stroke: \").concat(t.lineColor,\";\\n  stroke-width: 1;\\n}\\n\\n.transition {\\n  stroke: \").concat(t.transitionColor,\";\\n  stroke-width: 1;\\n  fill: none;\\n}\\n\\n.stateGroup .composit {\\n  fill: \").concat(t.background,\";\\n  border-bottom: 1px\\n}\\n\\n.stateGroup .alt-composit {\\n  fill: #e0e0e0;\\n  border-bottom: 1px\\n}\\n\\n.state-note {\\n  stroke: \").concat(t.noteBorderColor,\";\\n  fill: \").concat(t.noteBkgColor,\";\\n\\n  text {\\n    fill: \").concat(t.noteTextColor,\";\\n    stroke: none;\\n    font-size: 10px;\\n  }\\n}\\n\\n.stateLabel .box {\\n  stroke: none;\\n  stroke-width: 0;\\n  fill: \").concat(t.mainBkg,\";\\n  opacity: 0.5;\\n}\\n\\n.edgeLabel .label rect {\\n  fill: \").concat(t.labelBackgroundColor,\";\\n  opacity: 0.5;\\n}\\n.edgeLabel .label text {\\n  fill: \").concat(t.transitionLabelColor||t.tertiaryTextColor,\";\\n}\\n.label div .edgeLabel {\\n  color: \").concat(t.transitionLabelColor||t.tertiaryTextColor,\";\\n}\\n\\n.stateLabel text {\\n  fill: \").concat(t.stateLabelColor,\";\\n  font-size: 10px;\\n  font-weight: bold;\\n}\\n\\n.node circle.state-start {\\n  fill: \").concat(t.specialStateColor,\";\\n  stroke: \").concat(t.specialStateColor,\";\\n}\\n\\n.node .fork-join {\\n  fill: \").concat(t.specialStateColor,\";\\n  stroke: \").concat(t.specialStateColor,\";\\n}\\n\\n.node circle.state-end {\\n  fill: \").concat(t.innerEndBackground,\";\\n  stroke: \").concat(t.background,\";\\n  stroke-width: 1.5\\n}\\n.end-state-inner {\\n  fill: \").concat(t.compositeBackground||t.background,\";\\n  // stroke: \").concat(t.background,\";\\n  stroke-width: 1.5\\n}\\n\\n.node rect {\\n  fill: \").concat(t.stateBkg||t.mainBkg,\";\\n  stroke: \").concat(t.stateBorder||t.nodeBorder,\";\\n  stroke-width: 1px;\\n}\\n.node polygon {\\n  fill: \").concat(t.mainBkg,\";\\n  stroke: \").concat(t.stateBorder||t.nodeBorder,\";;\\n  stroke-width: 1px;\\n}\\n#statediagram-barbEnd {\\n  fill: \").concat(t.lineColor,\";\\n}\\n\\n.statediagram-cluster rect {\\n  fill: \").concat(t.compositeTitleBackground,\";\\n  stroke: \").concat(t.stateBorder||t.nodeBorder,\";\\n  stroke-width: 1px;\\n}\\n\\n.cluster-label, .nodeLabel {\\n  color: \").concat(t.stateLabelColor,\";\\n}\\n\\n.statediagram-cluster rect.outer {\\n  rx: 5px;\\n  ry: 5px;\\n}\\n.statediagram-state .divider {\\n  stroke: \").concat(t.stateBorder||t.nodeBorder,\";\\n}\\n\\n.statediagram-state .title-state {\\n  rx: 5px;\\n  ry: 5px;\\n}\\n.statediagram-cluster.statediagram-cluster .inner {\\n  fill: \").concat(t.compositeBackground||t.background,\";\\n}\\n.statediagram-cluster.statediagram-cluster-alt .inner {\\n  fill: \").concat(t.altBackground?t.altBackground:\"#efefef\",\";\\n}\\n\\n.statediagram-cluster .inner {\\n  rx:0;\\n  ry:0;\\n}\\n\\n.statediagram-state rect.basic {\\n  rx: 5px;\\n  ry: 5px;\\n}\\n.statediagram-state rect.divider {\\n  stroke-dasharray: 10,10;\\n  fill: \").concat(t.altBackground?t.altBackground:\"#efefef\",\";\\n}\\n\\n.note-edge {\\n  stroke-dasharray: 5;\\n}\\n\\n.statediagram-note rect {\\n  fill: \").concat(t.noteBkgColor,\";\\n  stroke: \").concat(t.noteBorderColor,\";\\n  stroke-width: 1px;\\n  rx: 0;\\n  ry: 0;\\n}\\n.statediagram-note rect {\\n  fill: \").concat(t.noteBkgColor,\";\\n  stroke: \").concat(t.noteBorderColor,\";\\n  stroke-width: 1px;\\n  rx: 0;\\n  ry: 0;\\n}\\n\\n.statediagram-note text {\\n  fill: \").concat(t.noteTextColor,\";\\n}\\n\\n.statediagram-note .nodeLabel {\\n  color: \").concat(t.noteTextColor,\";\\n}\\n.statediagram .edgeLabel {\\n  color: red; // \").concat(t.noteTextColor,\";\\n}\\n\\n#dependencyStart, #dependencyEnd {\\n  fill: \").concat(t.lineColor,\";\\n  stroke: \").concat(t.lineColor,\";\\n  stroke-width: 1;\\n}\\n\");};var eM={flowchart:JC,\"flowchart-v2\":JC,sequence:function(t){return\".actor {\\n    stroke: \".concat(t.actorBorder,\";\\n    fill: \").concat(t.actorBkg,\";\\n  }\\n\\n  text.actor > tspan {\\n    fill: \").concat(t.actorTextColor,\";\\n    stroke: none;\\n  }\\n\\n  .actor-line {\\n    stroke: \").concat(t.actorLineColor,\";\\n  }\\n\\n  .messageLine0 {\\n    stroke-width: 1.5;\\n    stroke-dasharray: none;\\n    stroke: \").concat(t.signalColor,\";\\n  }\\n\\n  .messageLine1 {\\n    stroke-width: 1.5;\\n    stroke-dasharray: 2, 2;\\n    stroke: \").concat(t.signalColor,\";\\n  }\\n\\n  #arrowhead path {\\n    fill: \").concat(t.signalColor,\";\\n    stroke: \").concat(t.signalColor,\";\\n  }\\n\\n  .sequenceNumber {\\n    fill: \").concat(t.sequenceNumberColor,\";\\n  }\\n\\n  #sequencenumber {\\n    fill: \").concat(t.signalColor,\";\\n  }\\n\\n  #crosshead path {\\n    fill: \").concat(t.signalColor,\";\\n    stroke: \").concat(t.signalColor,\";\\n  }\\n\\n  .messageText {\\n    fill: \").concat(t.signalTextColor,\";\\n    stroke: \").concat(t.signalTextColor,\";\\n  }\\n\\n  .labelBox {\\n    stroke: \").concat(t.labelBoxBorderColor,\";\\n    fill: \").concat(t.labelBoxBkgColor,\";\\n  }\\n\\n  .labelText, .labelText > tspan {\\n    fill: \").concat(t.labelTextColor,\";\\n    stroke: none;\\n  }\\n\\n  .loopText, .loopText > tspan {\\n    fill: \").concat(t.loopTextColor,\";\\n    stroke: none;\\n  }\\n\\n  .loopLine {\\n    stroke-width: 2px;\\n    stroke-dasharray: 2, 2;\\n    stroke: \").concat(t.labelBoxBorderColor,\";\\n    fill: \").concat(t.labelBoxBorderColor,\";\\n  }\\n\\n  .note {\\n    //stroke: #decc93;\\n    stroke: \").concat(t.noteBorderColor,\";\\n    fill: \").concat(t.noteBkgColor,\";\\n  }\\n\\n  .noteText, .noteText > tspan {\\n    fill: \").concat(t.noteTextColor,\";\\n    stroke: none;\\n  }\\n\\n  .activation0 {\\n    fill: \").concat(t.activationBkgColor,\";\\n    stroke: \").concat(t.activationBorderColor,\";\\n  }\\n\\n  .activation1 {\\n    fill: \").concat(t.activationBkgColor,\";\\n    stroke: \").concat(t.activationBorderColor,\";\\n  }\\n\\n  .activation2 {\\n    fill: \").concat(t.activationBkgColor,\";\\n    stroke: \").concat(t.activationBorderColor,\";\\n  }\\n\\n  .actorPopupMenu {\\n    position: absolute;\\n  }\\n\\n  .actorPopupMenuPanel {\\n    position: absolute;\\n    fill: \").concat(t.actorBkg,\";\\n    box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2);\\n    filter: drop-shadow(3px 5px 2px rgb(0 0 0 / 0.4));\\n}\\n  .actor-man line {\\n    stroke: \").concat(t.actorBorder,\";\\n    fill: \").concat(t.actorBkg,\";\\n  }\\n  .actor-man circle, line {\\n    stroke: \").concat(t.actorBorder,\";\\n    fill: \").concat(t.actorBkg,\";\\n    stroke-width: 2px;\\n  }\\n\");},gantt:function(t){return'\\n  .mermaid-main-font {\\n    font-family: \"trebuchet ms\", verdana, arial, sans-serif;\\n    font-family: var(--mermaid-font-family);\\n  }\\n  .exclude-range {\\n    fill: '.concat(t.excludeBkgColor,\";\\n  }\\n\\n  .section {\\n    stroke: none;\\n    opacity: 0.2;\\n  }\\n\\n  .section0 {\\n    fill: \").concat(t.sectionBkgColor,\";\\n  }\\n\\n  .section2 {\\n    fill: \").concat(t.sectionBkgColor2,\";\\n  }\\n\\n  .section1,\\n  .section3 {\\n    fill: \").concat(t.altSectionBkgColor,\";\\n    opacity: 0.2;\\n  }\\n\\n  .sectionTitle0 {\\n    fill: \").concat(t.titleColor,\";\\n  }\\n\\n  .sectionTitle1 {\\n    fill: \").concat(t.titleColor,\";\\n  }\\n\\n  .sectionTitle2 {\\n    fill: \").concat(t.titleColor,\";\\n  }\\n\\n  .sectionTitle3 {\\n    fill: \").concat(t.titleColor,\";\\n  }\\n\\n  .sectionTitle {\\n    text-anchor: start;\\n    // font-size: \").concat(t.ganttFontSize,\";\\n    // text-height: 14px;\\n    font-family: 'trebuchet ms', verdana, arial, sans-serif;\\n    font-family: var(--mermaid-font-family);\\n\\n  }\\n\\n\\n  /* Grid and axis */\\n\\n  .grid .tick {\\n    stroke: \").concat(t.gridColor,\";\\n    opacity: 0.8;\\n    shape-rendering: crispEdges;\\n    text {\\n      font-family: \").concat(t.fontFamily,\";\\n      fill: \").concat(t.textColor,\";\\n    }\\n  }\\n\\n  .grid path {\\n    stroke-width: 0;\\n  }\\n\\n\\n  /* Today line */\\n\\n  .today {\\n    fill: none;\\n    stroke: \").concat(t.todayLineColor,\";\\n    stroke-width: 2px;\\n  }\\n\\n\\n  /* Task styling */\\n\\n  /* Default task */\\n\\n  .task {\\n    stroke-width: 2;\\n  }\\n\\n  .taskText {\\n    text-anchor: middle;\\n    font-family: 'trebuchet ms', verdana, arial, sans-serif;\\n    font-family: var(--mermaid-font-family);\\n  }\\n\\n  // .taskText:not([font-size]) {\\n  //   font-size: \").concat(t.ganttFontSize,\";\\n  // }\\n\\n  .taskTextOutsideRight {\\n    fill: \").concat(t.taskTextDarkColor,\";\\n    text-anchor: start;\\n    // font-size: \").concat(t.ganttFontSize,\";\\n    font-family: 'trebuchet ms', verdana, arial, sans-serif;\\n    font-family: var(--mermaid-font-family);\\n\\n  }\\n\\n  .taskTextOutsideLeft {\\n    fill: \").concat(t.taskTextDarkColor,\";\\n    text-anchor: end;\\n    // font-size: \").concat(t.ganttFontSize,\";\\n  }\\n\\n  /* Special case clickable */\\n  .task.clickable {\\n    cursor: pointer;\\n  }\\n  .taskText.clickable {\\n    cursor: pointer;\\n    fill: \").concat(t.taskTextClickableColor,\" !important;\\n    font-weight: bold;\\n  }\\n\\n  .taskTextOutsideLeft.clickable {\\n    cursor: pointer;\\n    fill: \").concat(t.taskTextClickableColor,\" !important;\\n    font-weight: bold;\\n  }\\n\\n  .taskTextOutsideRight.clickable {\\n    cursor: pointer;\\n    fill: \").concat(t.taskTextClickableColor,\" !important;\\n    font-weight: bold;\\n  }\\n\\n  /* Specific task settings for the sections*/\\n\\n  .taskText0,\\n  .taskText1,\\n  .taskText2,\\n  .taskText3 {\\n    fill: \").concat(t.taskTextColor,\";\\n  }\\n\\n  .task0,\\n  .task1,\\n  .task2,\\n  .task3 {\\n    fill: \").concat(t.taskBkgColor,\";\\n    stroke: \").concat(t.taskBorderColor,\";\\n  }\\n\\n  .taskTextOutside0,\\n  .taskTextOutside2\\n  {\\n    fill: \").concat(t.taskTextOutsideColor,\";\\n  }\\n\\n  .taskTextOutside1,\\n  .taskTextOutside3 {\\n    fill: \").concat(t.taskTextOutsideColor,\";\\n  }\\n\\n\\n  /* Active task */\\n\\n  .active0,\\n  .active1,\\n  .active2,\\n  .active3 {\\n    fill: \").concat(t.activeTaskBkgColor,\";\\n    stroke: \").concat(t.activeTaskBorderColor,\";\\n  }\\n\\n  .activeText0,\\n  .activeText1,\\n  .activeText2,\\n  .activeText3 {\\n    fill: \").concat(t.taskTextDarkColor,\" !important;\\n  }\\n\\n\\n  /* Completed task */\\n\\n  .done0,\\n  .done1,\\n  .done2,\\n  .done3 {\\n    stroke: \").concat(t.doneTaskBorderColor,\";\\n    fill: \").concat(t.doneTaskBkgColor,\";\\n    stroke-width: 2;\\n  }\\n\\n  .doneText0,\\n  .doneText1,\\n  .doneText2,\\n  .doneText3 {\\n    fill: \").concat(t.taskTextDarkColor,\" !important;\\n  }\\n\\n\\n  /* Tasks on the critical line */\\n\\n  .crit0,\\n  .crit1,\\n  .crit2,\\n  .crit3 {\\n    stroke: \").concat(t.critBorderColor,\";\\n    fill: \").concat(t.critBkgColor,\";\\n    stroke-width: 2;\\n  }\\n\\n  .activeCrit0,\\n  .activeCrit1,\\n  .activeCrit2,\\n  .activeCrit3 {\\n    stroke: \").concat(t.critBorderColor,\";\\n    fill: \").concat(t.activeTaskBkgColor,\";\\n    stroke-width: 2;\\n  }\\n\\n  .doneCrit0,\\n  .doneCrit1,\\n  .doneCrit2,\\n  .doneCrit3 {\\n    stroke: \").concat(t.critBorderColor,\";\\n    fill: \").concat(t.doneTaskBkgColor,\";\\n    stroke-width: 2;\\n    cursor: pointer;\\n    shape-rendering: crispEdges;\\n  }\\n\\n  .milestone {\\n    transform: rotate(45deg) scale(0.8,0.8);\\n  }\\n\\n  .milestoneText {\\n    font-style: italic;\\n  }\\n  .doneCritText0,\\n  .doneCritText1,\\n  .doneCritText2,\\n  .doneCritText3 {\\n    fill: \").concat(t.taskTextDarkColor,\" !important;\\n  }\\n\\n  .activeCritText0,\\n  .activeCritText1,\\n  .activeCritText2,\\n  .activeCritText3 {\\n    fill: \").concat(t.taskTextDarkColor,\" !important;\\n  }\\n\\n  .titleText {\\n    text-anchor: middle;\\n    font-size: 18px;\\n    fill: \").concat(t.textColor,\"    ;\\n    font-family: 'trebuchet ms', verdana, arial, sans-serif;\\n    font-family: var(--mermaid-font-family);\\n  }\\n\");},classDiagram:QC,\"classDiagram-v2\":QC,class:QC,stateDiagram:tM,state:tM,git:function(){return\"\\n  .commit-id,\\n  .commit-msg,\\n  .branch-label {\\n    fill: lightgrey;\\n    color: lightgrey;\\n    font-family: 'trebuchet ms', verdana, arial, sans-serif;\\n    font-family: var(--mermaid-font-family);\\n  }\\n\";},info:function(){return\"\";},pie:function(t){return\"\\n  .pieCircle{\\n    stroke: \".concat(t.pieStrokeColor,\";\\n    stroke-width : \").concat(t.pieStrokeWidth,\";\\n    opacity : \").concat(t.pieOpacity,\";\\n  }\\n  .pieTitleText {\\n    text-anchor: middle;\\n    font-size: \").concat(t.pieTitleTextSize,\";\\n    fill: \").concat(t.pieTitleTextColor,\";\\n    font-family: \").concat(t.fontFamily,\";\\n  }\\n  .slice {\\n    font-family: \").concat(t.fontFamily,\";\\n    fill: \").concat(t.pieSectionTextColor,\";\\n    font-size:\").concat(t.pieSectionTextSize,\";\\n    // fill: white;\\n  }\\n  .legend text {\\n    fill: \").concat(t.pieLegendTextColor,\";\\n    font-family: \").concat(t.fontFamily,\";\\n    font-size: \").concat(t.pieLegendTextSize,\";\\n  }\\n\");},er:function(t){return\"\\n  .entityBox {\\n    fill: \".concat(t.mainBkg,\";\\n    stroke: \").concat(t.nodeBorder,\";\\n  }\\n\\n  .attributeBoxOdd {\\n    fill: #ffffff;\\n    stroke: \").concat(t.nodeBorder,\";\\n  }\\n\\n  .attributeBoxEven {\\n    fill: #f2f2f2;\\n    stroke: \").concat(t.nodeBorder,\";\\n  }\\n\\n  .relationshipLabelBox {\\n    fill: \").concat(t.tertiaryColor,\";\\n    opacity: 0.7;\\n    background-color: \").concat(t.tertiaryColor,\";\\n      rect {\\n        opacity: 0.5;\\n      }\\n  }\\n\\n    .relationshipLine {\\n      stroke: \").concat(t.lineColor,\";\\n    }\\n\");},journey:function(t){return\".label {\\n    font-family: 'trebuchet ms', verdana, arial, sans-serif;\\n    font-family: var(--mermaid-font-family);\\n    color: \".concat(t.textColor,\";\\n  }\\n  .mouth {\\n    stroke: #666;\\n  }\\n\\n  line {\\n    stroke: \").concat(t.textColor,\"\\n  }\\n\\n  .legend {\\n    fill: \").concat(t.textColor,\";\\n  }\\n\\n  .label text {\\n    fill: #333;\\n  }\\n  .label {\\n    color: \").concat(t.textColor,\"\\n  }\\n\\n  .face {\\n    \").concat(t.faceColor?\"fill: \".concat(t.faceColor):\"fill: #FFF8DC\",\";\\n    stroke: #999;\\n  }\\n\\n  .node rect,\\n  .node circle,\\n  .node ellipse,\\n  .node polygon,\\n  .node path {\\n    fill: \").concat(t.mainBkg,\";\\n    stroke: \").concat(t.nodeBorder,\";\\n    stroke-width: 1px;\\n  }\\n\\n  .node .label {\\n    text-align: center;\\n  }\\n  .node.clickable {\\n    cursor: pointer;\\n  }\\n\\n  .arrowheadPath {\\n    fill: \").concat(t.arrowheadColor,\";\\n  }\\n\\n  .edgePath .path {\\n    stroke: \").concat(t.lineColor,\";\\n    stroke-width: 1.5px;\\n  }\\n\\n  .flowchart-link {\\n    stroke: \").concat(t.lineColor,\";\\n    fill: none;\\n  }\\n\\n  .edgeLabel {\\n    background-color: \").concat(t.edgeLabelBackground,\";\\n    rect {\\n      opacity: 0.5;\\n    }\\n    text-align: center;\\n  }\\n\\n  .cluster rect {\\n  }\\n\\n  .cluster text {\\n    fill: \").concat(t.titleColor,\";\\n  }\\n\\n  div.mermaidTooltip {\\n    position: absolute;\\n    text-align: center;\\n    max-width: 200px;\\n    padding: 2px;\\n    font-family: 'trebuchet ms', verdana, arial, sans-serif;\\n    font-family: var(--mermaid-font-family);\\n    font-size: 12px;\\n    background: \").concat(t.tertiaryColor,\";\\n    border: 1px solid \").concat(t.border2,\";\\n    border-radius: 2px;\\n    pointer-events: none;\\n    z-index: 100;\\n  }\\n\\n  .task-type-0, .section-type-0  {\\n    \").concat(t.fillType0?\"fill: \".concat(t.fillType0):\"\",\";\\n  }\\n  .task-type-1, .section-type-1  {\\n    \").concat(t.fillType0?\"fill: \".concat(t.fillType1):\"\",\";\\n  }\\n  .task-type-2, .section-type-2  {\\n    \").concat(t.fillType0?\"fill: \".concat(t.fillType2):\"\",\";\\n  }\\n  .task-type-3, .section-type-3  {\\n    \").concat(t.fillType0?\"fill: \".concat(t.fillType3):\"\",\";\\n  }\\n  .task-type-4, .section-type-4  {\\n    \").concat(t.fillType0?\"fill: \".concat(t.fillType4):\"\",\";\\n  }\\n  .task-type-5, .section-type-5  {\\n    \").concat(t.fillType0?\"fill: \".concat(t.fillType5):\"\",\";\\n  }\\n  .task-type-6, .section-type-6  {\\n    \").concat(t.fillType0?\"fill: \".concat(t.fillType6):\"\",\";\\n  }\\n  .task-type-7, .section-type-7  {\\n    \").concat(t.fillType0?\"fill: \".concat(t.fillType7):\"\",\";\\n  }\\n\\n  .actor-0 {\\n    \").concat(t.actor0?\"fill: \".concat(t.actor0):\"\",\";\\n  }\\n  .actor-1 {\\n    \").concat(t.actor1?\"fill: \".concat(t.actor1):\"\",\";\\n  }\\n  .actor-2 {\\n    \").concat(t.actor2?\"fill: \".concat(t.actor2):\"\",\";\\n  }\\n  .actor-3 {\\n    \").concat(t.actor3?\"fill: \".concat(t.actor3):\"\",\";\\n  }\\n  .actor-4 {\\n    \").concat(t.actor4?\"fill: \".concat(t.actor4):\"\",\";\\n  }\\n  .actor-5 {\\n    \").concat(t.actor5?\"fill: \".concat(t.actor5):\"\",\";\\n  }\\n\\n  }\\n\");},requirement:function(t){return\"\\n\\n  marker {\\n    fill: \".concat(t.relationColor,\";\\n    stroke: \").concat(t.relationColor,\";\\n  }\\n\\n  marker.cross {\\n    stroke: \").concat(t.lineColor,\";\\n  }\\n\\n  svg {\\n    font-family: \").concat(t.fontFamily,\";\\n    font-size: \").concat(t.fontSize,\";\\n  }\\n\\n  .reqBox {\\n    fill: \").concat(t.requirementBackground,\";\\n    fill-opacity: 100%;\\n    stroke: \").concat(t.requirementBorderColor,\";\\n    stroke-width: \").concat(t.requirementBorderSize,\";\\n  }\\n  \\n  .reqTitle, .reqLabel{\\n    fill:  \").concat(t.requirementTextColor,\";\\n  }\\n  .reqLabelBox {\\n    fill: \").concat(t.relationLabelBackground,\";\\n    fill-opacity: 100%;\\n  }\\n\\n  .req-title-line {\\n    stroke: \").concat(t.requirementBorderColor,\";\\n    stroke-width: \").concat(t.requirementBorderSize,\";\\n  }\\n  .relationshipLine {\\n    stroke: \").concat(t.relationColor,\";\\n    stroke-width: 1;\\n  }\\n  .relationshipLabel {\\n    fill: \").concat(t.relationLabelColor,\";\\n  }\\n\\n\");}};function nM(t){return nM=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(t){return typeof t;}:function(t){return t&&\"function\"==typeof Symbol&&t.constructor===Symbol&&t!==Symbol.prototype?\"symbol\":typeof t;},nM(t);}var rM=function(t){var e=t;return(e=(e=e.replace(/fl°°/g,function(){return\"&#\";})).replace(/fl°/g,function(){return\"&\";})).replace(/¶ß/g,function(){return\";\";});},iM={};function aM(t){var e;Xw(t.git),Rx(t.flowchart),Fx(t.flowchart),void 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l\":\"∀\",\"ForAll\":\"∀\",\"fork\":\"⋔\",\"forkv\":\"⫙\",\"Fouriertrf\":\"ℱ\",\"fpartint\":\"⨍\",\"frac12\":\"½\",\"frac13\":\"⅓\",\"frac14\":\"¼\",\"frac15\":\"⅕\",\"frac16\":\"⅙\",\"frac18\":\"⅛\",\"frac23\":\"⅔\",\"frac25\":\"⅖\",\"frac34\":\"¾\",\"frac35\":\"⅗\",\"frac38\":\"⅜\",\"frac45\":\"⅘\",\"frac56\":\"⅚\",\"frac58\":\"⅝\",\"frac78\":\"⅞\",\"frasl\":\"⁄\",\"frown\":\"⌢\",\"fscr\":\"𝒻\",\"Fscr\":\"ℱ\",\"gacute\":\"ǵ\",\"Gamma\":\"Γ\",\"gamma\":\"γ\",\"Gammad\":\"Ϝ\",\"gammad\":\"ϝ\",\"gap\":\"⪆\",\"Gbreve\":\"Ğ\",\"gbreve\":\"ğ\",\"Gcedil\":\"Ģ\",\"Gcirc\":\"Ĝ\",\"gcirc\":\"ĝ\",\"Gcy\":\"Г\",\"gcy\":\"г\",\"Gdot\":\"Ġ\",\"gdot\":\"ġ\",\"ge\":\"≥\",\"gE\":\"≧\",\"gEl\":\"⪌\",\"gel\":\"⋛\",\"geq\":\"≥\",\"geqq\":\"≧\",\"geqslant\":\"⩾\",\"gescc\":\"⪩\",\"ges\":\"⩾\",\"gesdot\":\"⪀\",\"gesdoto\":\"⪂\",\"gesdotol\":\"⪄\",\"gesl\":\"⋛︀\",\"gesles\":\"⪔\",\"Gfr\":\"𝔊\",\"gfr\":\"𝔤\",\"gg\":\"≫\",\"Gg\":\"⋙\",\"ggg\":\"⋙\",\"gimel\":\"ℷ\",\"GJcy\":\"Ѓ\",\"gjcy\":\"ѓ\",\"gla\":\"⪥\",\"gl\":\"≷\",\"glE\":\"⪒\",\"glj\":\"⪤\",\"gnap\":\"⪊\",\"gnapprox\":\"⪊\",\"gne\":\"⪈\",\"gnE\":\"≩\",\"gneq\":\"⪈\",\"gneqq\":\"≩\",\"gnsim\":\"⋧\",\"Gopf\":\"𝔾\",\"gopf\":\"𝕘\",\"grave\":\"`\",\"GreaterEqual\":\"≥\",\"GreaterEqualLess\":\"⋛\",\"GreaterFullEqual\":\"≧\",\"GreaterGreater\":\"⪢\",\"GreaterLess\":\"≷\",\"GreaterSlantEqual\":\"⩾\",\"GreaterTilde\":\"≳\",\"Gscr\":\"𝒢\",\"gscr\":\"ℊ\",\"gsim\":\"≳\",\"gsime\":\"⪎\",\"gsiml\":\"⪐\",\"gtcc\":\"⪧\",\"gtcir\":\"⩺\",\"gt\":\">\",\"GT\":\">\",\"Gt\":\"≫\",\"gtdot\":\"⋗\",\"gtlPar\":\"⦕\",\"gtquest\":\"⩼\",\"gtrapprox\":\"⪆\",\"gtrarr\":\"⥸\",\"gtrdot\":\"⋗\",\"gtreqless\":\"⋛\",\"gtreqqless\":\"⪌\",\"gtrless\":\"≷\",\"gtrsim\":\"≳\",\"gvertneqq\":\"≩︀\",\"gvnE\":\"≩︀\",\"Hacek\":\"ˇ\",\"hairsp\":\" \",\"half\":\"½\",\"hamilt\":\"ℋ\",\"HARDcy\":\"Ъ\",\"hardcy\":\"ъ\",\"harrcir\":\"⥈\",\"harr\":\"↔\",\"hArr\":\"⇔\",\"harrw\":\"↭\",\"Hat\":\"^\",\"hbar\":\"ℏ\",\"Hcirc\":\"Ĥ\",\"hcirc\":\"ĥ\",\"hearts\":\"♥\",\"heartsuit\":\"♥\",\"hellip\":\"…\",\"hercon\":\"⊹\",\"hfr\":\"𝔥\",\"Hfr\":\"ℌ\",\"HilbertSpace\":\"ℋ\",\"hksearow\":\"⤥\",\"hkswarow\":\"⤦\",\"hoarr\":\"⇿\",\"homtht\":\"∻\",\"hookleftarrow\":\"↩\",\"hookrightarrow\":\"↪\",\"hopf\":\"𝕙\",\"Hopf\":\"ℍ\",\"horbar\":\"―\",\"HorizontalLine\":\"─\",\"hscr\":\"𝒽\",\"Hscr\":\"ℋ\",\"hslash\":\"ℏ\",\"Hstrok\":\"Ħ\",\"hstrok\":\"ħ\",\"HumpDownHump\":\"≎\",\"HumpEqual\":\"≏\",\"hybull\":\"⁃\",\"hyphen\":\"‐\",\"Iacute\":\"Í\",\"iacute\":\"í\",\"ic\":\"⁣\",\"Icirc\":\"Î\",\"icirc\":\"î\",\"Icy\":\"И\",\"icy\":\"и\",\"Idot\":\"İ\",\"IEcy\":\"Е\",\"iecy\":\"е\",\"iexcl\":\"¡\",\"iff\":\"⇔\",\"ifr\":\"𝔦\",\"Ifr\":\"ℑ\",\"Igrave\":\"Ì\",\"igrave\":\"ì\",\"ii\":\"ⅈ\",\"iiiint\":\"⨌\",\"iiint\":\"∭\",\"iinfin\":\"⧜\",\"iiota\":\"℩\",\"IJlig\":\"IJ\",\"ijlig\":\"ij\",\"Imacr\":\"Ī\",\"imacr\":\"ī\",\"image\":\"ℑ\",\"ImaginaryI\":\"ⅈ\",\"imagline\":\"ℐ\",\"imagpart\":\"ℑ\",\"imath\":\"ı\",\"Im\":\"ℑ\",\"imof\":\"⊷\",\"imped\":\"Ƶ\",\"Implies\":\"⇒\",\"incare\":\"℅\",\"in\":\"∈\",\"infin\":\"∞\",\"infintie\":\"⧝\",\"inodot\":\"ı\",\"intcal\":\"⊺\",\"int\":\"∫\",\"Int\":\"∬\",\"integers\":\"ℤ\",\"Integral\":\"∫\",\"intercal\":\"⊺\",\"Intersection\":\"⋂\",\"intlarhk\":\"⨗\",\"intprod\":\"⨼\",\"InvisibleComma\":\"⁣\",\"InvisibleTimes\":\"⁢\",\"IOcy\":\"Ё\",\"iocy\":\"ё\",\"Iogon\":\"Į\",\"iogon\":\"į\",\"Iopf\":\"𝕀\",\"iopf\":\"𝕚\",\"Iota\":\"Ι\",\"iota\":\"ι\",\"iprod\":\"⨼\",\"iquest\":\"¿\",\"iscr\":\"𝒾\",\"Iscr\":\"ℐ\",\"isin\":\"∈\",\"isindot\":\"⋵\",\"isinE\":\"⋹\",\"isins\":\"⋴\",\"isinsv\":\"⋳\",\"isinv\":\"∈\",\"it\":\"⁢\",\"Itilde\":\"Ĩ\",\"itilde\":\"ĩ\",\"Iukcy\":\"І\",\"iukcy\":\"і\",\"Iuml\":\"Ï\",\"iuml\":\"ï\",\"Jcirc\":\"Ĵ\",\"jcirc\":\"ĵ\",\"Jcy\":\"Й\",\"jcy\":\"й\",\"Jfr\":\"𝔍\",\"jfr\":\"𝔧\",\"jmath\":\"ȷ\",\"Jopf\":\"𝕁\",\"jopf\":\"𝕛\",\"Jscr\":\"𝒥\",\"jscr\":\"𝒿\",\"Jsercy\":\"Ј\",\"jsercy\":\"ј\",\"Jukcy\":\"Є\",\"jukcy\":\"є\",\"Kappa\":\"Κ\",\"kappa\":\"κ\",\"kappav\":\"ϰ\",\"Kcedil\":\"Ķ\",\"kcedil\":\"ķ\",\"Kcy\":\"К\",\"kcy\":\"к\",\"Kfr\":\"𝔎\",\"kfr\":\"𝔨\",\"kgreen\":\"ĸ\",\"KHcy\":\"Х\",\"khcy\":\"х\",\"KJcy\":\"Ќ\",\"kjcy\":\"ќ\",\"Kopf\":\"𝕂\",\"kopf\":\"𝕜\",\"Kscr\":\"𝒦\",\"kscr\":\"𝓀\",\"lAarr\":\"⇚\",\"Lacute\":\"Ĺ\",\"lacute\":\"ĺ\",\"laemptyv\":\"⦴\",\"lagran\":\"ℒ\",\"Lambda\":\"Λ\",\"lambda\":\"λ\",\"lang\":\"⟨\",\"Lang\":\"⟪\",\"langd\":\"⦑\",\"langle\":\"⟨\",\"lap\":\"⪅\",\"Laplacetrf\":\"ℒ\",\"laquo\":\"«\",\"larrb\":\"⇤\",\"larrbfs\":\"⤟\",\"larr\":\"←\",\"Larr\":\"↞\",\"lArr\":\"⇐\",\"larrfs\":\"⤝\",\"larrhk\":\"↩\",\"larrlp\":\"↫\",\"larrpl\":\"⤹\",\"larrsim\":\"⥳\",\"larrtl\":\"↢\",\"latail\":\"⤙\",\"lAtail\":\"⤛\",\"lat\":\"⪫\",\"late\":\"⪭\",\"lates\":\"⪭︀\",\"lbarr\":\"⤌\",\"lBarr\":\"⤎\",\"lbbrk\":\"❲\",\"lbrace\":\"{\",\"lbrack\":\"[\",\"lbrke\":\"⦋\",\"lbrksld\":\"⦏\",\"lbrkslu\":\"⦍\",\"Lcaron\":\"Ľ\",\"lcaron\":\"ľ\",\"Lcedil\":\"Ļ\",\"lcedil\":\"ļ\",\"lceil\":\"⌈\",\"lcub\":\"{\",\"Lcy\":\"Л\",\"lcy\":\"л\",\"ldca\":\"⤶\",\"ldquo\":\"“\",\"ldquor\":\"„\",\"ldrdhar\":\"⥧\",\"ldrushar\":\"⥋\",\"ldsh\":\"↲\",\"le\":\"≤\",\"lE\":\"≦\",\"LeftAngleBracket\":\"⟨\",\"LeftArrowBar\":\"⇤\",\"leftarrow\":\"←\",\"LeftArrow\":\"←\",\"Leftarrow\":\"⇐\",\"LeftArrowRightArrow\":\"⇆\",\"leftarrowtail\":\"↢\",\"LeftCeiling\":\"⌈\",\"LeftDoubleBracket\":\"⟦\",\"LeftDownTeeVector\":\"⥡\",\"LeftDownVectorBar\":\"⥙\",\"LeftDownVector\":\"⇃\",\"LeftFloor\":\"⌊\",\"leftharpoondown\":\"↽\",\"leftharpoonup\":\"↼\",\"leftleftarrows\":\"⇇\",\"leftrightarrow\":\"↔\",\"LeftRightArrow\":\"↔\",\"Leftrightarrow\":\"⇔\",\"leftrightarrows\":\"⇆\",\"leftrightharpoons\":\"⇋\",\"leftrightsquigarrow\":\"↭\",\"LeftRightVector\":\"⥎\",\"LeftTeeArrow\":\"↤\",\"LeftTee\":\"⊣\",\"LeftTeeVector\":\"⥚\",\"leftthreetimes\":\"⋋\",\"LeftTriangleBar\":\"⧏\",\"LeftTriangle\":\"⊲\",\"LeftTriangleEqual\":\"⊴\",\"LeftUpDownVector\":\"⥑\",\"LeftUpTeeVector\":\"⥠\",\"LeftUpVectorBar\":\"⥘\",\"LeftUpVector\":\"↿\",\"LeftVectorBar\":\"⥒\",\"LeftVector\":\"↼\",\"lEg\":\"⪋\",\"leg\":\"⋚\",\"leq\":\"≤\",\"leqq\":\"≦\",\"leqslant\":\"⩽\",\"lescc\":\"⪨\",\"les\":\"⩽\",\"lesdot\":\"⩿\",\"lesdoto\":\"⪁\",\"lesdotor\":\"⪃\",\"lesg\":\"⋚︀\",\"lesges\":\"⪓\",\"lessapprox\":\"⪅\",\"lessdot\":\"⋖\",\"lesseqgtr\":\"⋚\",\"lesseqqgtr\":\"⪋\",\"LessEqualGreater\":\"⋚\",\"LessFullEqual\":\"≦\",\"LessGreater\":\"≶\",\"lessgtr\":\"≶\",\"LessLess\":\"⪡\",\"lesssim\":\"≲\",\"LessSlantEqual\":\"⩽\",\"LessTilde\":\"≲\",\"lfisht\":\"⥼\",\"lfloor\":\"⌊\",\"Lfr\":\"𝔏\",\"lfr\":\"𝔩\",\"lg\":\"≶\",\"lgE\":\"⪑\",\"lHar\":\"⥢\",\"lhard\":\"↽\",\"lharu\":\"↼\",\"lharul\":\"⥪\",\"lhblk\":\"▄\",\"LJcy\":\"Љ\",\"ljcy\":\"љ\",\"llarr\":\"⇇\",\"ll\":\"≪\",\"Ll\":\"⋘\",\"llcorner\":\"⌞\",\"Lleftarrow\":\"⇚\",\"llhard\":\"⥫\",\"lltri\":\"◺\",\"Lmidot\":\"Ŀ\",\"lmidot\":\"ŀ\",\"lmoustache\":\"⎰\",\"lmoust\":\"⎰\",\"lnap\":\"⪉\",\"lnapprox\":\"⪉\",\"lne\":\"⪇\",\"lnE\":\"≨\",\"lneq\":\"⪇\",\"lneqq\":\"≨\",\"lnsim\":\"⋦\",\"loang\":\"⟬\",\"loarr\":\"⇽\",\"lobrk\":\"⟦\",\"longleftarrow\":\"⟵\",\"LongLeftArrow\":\"⟵\",\"Longleftarrow\":\"⟸\",\"longleftrightarrow\":\"⟷\",\"LongLeftRightArrow\":\"⟷\",\"Longleftrightarrow\":\"⟺\",\"longmapsto\":\"⟼\",\"longrightarrow\":\"⟶\",\"LongRightArrow\":\"⟶\",\"Longrightarrow\":\"⟹\",\"looparrowleft\":\"↫\",\"looparrowright\":\"↬\",\"lopar\":\"⦅\",\"Lopf\":\"𝕃\",\"lopf\":\"𝕝\",\"loplus\":\"⨭\",\"lotimes\":\"⨴\",\"lowast\":\"∗\",\"lowbar\":\"_\",\"LowerLeftArrow\":\"↙\",\"LowerRightArrow\":\"↘\",\"loz\":\"◊\",\"lozenge\":\"◊\",\"lozf\":\"⧫\",\"lpar\":\"(\",\"lparlt\":\"⦓\",\"lrarr\":\"⇆\",\"lrcorner\":\"⌟\",\"lrhar\":\"⇋\",\"lrhard\":\"⥭\",\"lrm\":\"‎\",\"lrtri\":\"⊿\",\"lsaquo\":\"‹\",\"lscr\":\"𝓁\",\"Lscr\":\"ℒ\",\"lsh\":\"↰\",\"Lsh\":\"↰\",\"lsim\":\"≲\",\"lsime\":\"⪍\",\"lsimg\":\"⪏\",\"lsqb\":\"[\",\"lsquo\":\"‘\",\"lsquor\":\"‚\",\"Lstrok\":\"Ł\",\"lstrok\":\"ł\",\"ltcc\":\"⪦\",\"ltcir\":\"⩹\",\"lt\":\"<\",\"LT\":\"<\",\"Lt\":\"≪\",\"ltdot\":\"⋖\",\"lthree\":\"⋋\",\"ltimes\":\"⋉\",\"ltlarr\":\"⥶\",\"ltquest\":\"⩻\",\"ltri\":\"◃\",\"ltrie\":\"⊴\",\"ltrif\":\"◂\",\"ltrPar\":\"⦖\",\"lurdshar\":\"⥊\",\"luruhar\":\"⥦\",\"lvertneqq\":\"≨︀\",\"lvnE\":\"≨︀\",\"macr\":\"¯\",\"male\":\"♂\",\"malt\":\"✠\",\"maltese\":\"✠\",\"Map\":\"⤅\",\"map\":\"↦\",\"mapsto\":\"↦\",\"mapstodown\":\"↧\",\"mapstoleft\":\"↤\",\"mapstoup\":\"↥\",\"marker\":\"▮\",\"mcomma\":\"⨩\",\"Mcy\":\"М\",\"mcy\":\"м\",\"mdash\":\"—\",\"mDDot\":\"∺\",\"measuredangle\":\"∡\",\"MediumSpace\":\" \",\"Mellintrf\":\"ℳ\",\"Mfr\":\"𝔐\",\"mfr\":\"𝔪\",\"mho\":\"℧\",\"micro\":\"µ\",\"midast\":\"*\",\"midcir\":\"⫰\",\"mid\":\"∣\",\"middot\":\"·\",\"minusb\":\"⊟\",\"minus\":\"−\",\"minusd\":\"∸\",\"minusdu\":\"⨪\",\"MinusPlus\":\"∓\",\"mlcp\":\"⫛\",\"mldr\":\"…\",\"mnplus\":\"∓\",\"models\":\"⊧\",\"Mopf\":\"𝕄\",\"mopf\":\"𝕞\",\"mp\":\"∓\",\"mscr\":\"𝓂\",\"Mscr\":\"ℳ\",\"mstpos\":\"∾\",\"Mu\":\"Μ\",\"mu\":\"μ\",\"multimap\":\"⊸\",\"mumap\":\"⊸\",\"nabla\":\"∇\",\"Nacute\":\"Ń\",\"nacute\":\"ń\",\"nang\":\"∠⃒\",\"nap\":\"≉\",\"napE\":\"⩰̸\",\"napid\":\"≋̸\",\"napos\":\"ʼn\",\"napprox\":\"≉\",\"natural\":\"♮\",\"naturals\":\"ℕ\",\"natur\":\"♮\",\"nbsp\":\" \",\"nbump\":\"≎̸\",\"nbumpe\":\"≏̸\",\"ncap\":\"⩃\",\"Ncaron\":\"Ň\",\"ncaron\":\"ň\",\"Ncedil\":\"Ņ\",\"ncedil\":\"ņ\",\"ncong\":\"≇\",\"ncongdot\":\"⩭̸\",\"ncup\":\"⩂\",\"Ncy\":\"Н\",\"ncy\":\"н\",\"ndash\":\"–\",\"nearhk\":\"⤤\",\"nearr\":\"↗\",\"neArr\":\"⇗\",\"nearrow\":\"↗\",\"ne\":\"≠\",\"nedot\":\"≐̸\",\"NegativeMediumSpace\":\"​\",\"NegativeThickSpace\":\"​\",\"NegativeThinSpace\":\"​\",\"NegativeVeryThinSpace\":\"​\",\"nequiv\":\"≢\",\"nesear\":\"⤨\",\"nesim\":\"≂̸\",\"NestedGreaterGreater\":\"≫\",\"NestedLessLess\":\"≪\",\"NewLine\":\"\\\\n\",\"nexist\":\"∄\",\"nexists\":\"∄\",\"Nfr\":\"𝔑\",\"nfr\":\"𝔫\",\"ngE\":\"≧̸\",\"nge\":\"≱\",\"ngeq\":\"≱\",\"ngeqq\":\"≧̸\",\"ngeqslant\":\"⩾̸\",\"nges\":\"⩾̸\",\"nGg\":\"⋙̸\",\"ngsim\":\"≵\",\"nGt\":\"≫⃒\",\"ngt\":\"≯\",\"ngtr\":\"≯\",\"nGtv\":\"≫̸\",\"nharr\":\"↮\",\"nhArr\":\"⇎\",\"nhpar\":\"⫲\",\"ni\":\"∋\",\"nis\":\"⋼\",\"nisd\":\"⋺\",\"niv\":\"∋\",\"NJcy\":\"Њ\",\"njcy\":\"њ\",\"nlarr\":\"↚\",\"nlArr\":\"⇍\",\"nldr\":\"‥\",\"nlE\":\"≦̸\",\"nle\":\"≰\",\"nleftarrow\":\"↚\",\"nLeftarrow\":\"⇍\",\"nleftrightarrow\":\"↮\",\"nLeftrightarrow\":\"⇎\",\"nleq\":\"≰\",\"nleqq\":\"≦̸\",\"nleqslant\":\"⩽̸\",\"nles\":\"⩽̸\",\"nless\":\"≮\",\"nLl\":\"⋘̸\",\"nlsim\":\"≴\",\"nLt\":\"≪⃒\",\"nlt\":\"≮\",\"nltri\":\"⋪\",\"nltrie\":\"⋬\",\"nLtv\":\"≪̸\",\"nmid\":\"∤\",\"NoBreak\":\"⁠\",\"NonBreakingSpace\":\" \",\"nopf\":\"𝕟\",\"Nopf\":\"ℕ\",\"Not\":\"⫬\",\"not\":\"¬\",\"NotCongruent\":\"≢\",\"NotCupCap\":\"≭\",\"NotDoubleVerticalBar\":\"∦\",\"NotElement\":\"∉\",\"NotEqual\":\"≠\",\"NotEqualTilde\":\"≂̸\",\"NotExists\":\"∄\",\"NotGreater\":\"≯\",\"NotGreaterEqual\":\"≱\",\"NotGreaterFullEqual\":\"≧̸\",\"NotGreaterGreater\":\"≫̸\",\"NotGreaterLess\":\"≹\",\"NotGreaterSlantEqual\":\"⩾̸\",\"NotGreaterTilde\":\"≵\",\"NotHumpDownHump\":\"≎̸\",\"NotHumpEqual\":\"≏̸\",\"notin\":\"∉\",\"notindot\":\"⋵̸\",\"notinE\":\"⋹̸\",\"notinva\":\"∉\",\"notinvb\":\"⋷\",\"notinvc\":\"⋶\",\"NotLeftTriangleBar\":\"⧏̸\",\"NotLeftTriangle\":\"⋪\",\"NotLeftTriangleEqual\":\"⋬\",\"NotLess\":\"≮\",\"NotLessEqual\":\"≰\",\"NotLessGreater\":\"≸\",\"NotLessLess\":\"≪̸\",\"NotLessSlantEqual\":\"⩽̸\",\"NotLessTilde\":\"≴\",\"NotNestedGreaterGreater\":\"⪢̸\",\"NotNestedLessLess\":\"⪡̸\",\"notni\":\"∌\",\"notniva\":\"∌\",\"notnivb\":\"⋾\",\"notnivc\":\"⋽\",\"NotPrecedes\":\"⊀\",\"NotPrecedesEqual\":\"⪯̸\",\"NotPrecedesSlantEqual\":\"⋠\",\"NotReverseElement\":\"∌\",\"NotRightTriangleBar\":\"⧐̸\",\"NotRightTriangle\":\"⋫\",\"NotRightTriangleEqual\":\"⋭\",\"NotSquareSubset\":\"⊏̸\",\"NotSquareSubsetEqual\":\"⋢\",\"NotSquareSuperset\":\"⊐̸\",\"NotSquareSupersetEqual\":\"⋣\",\"NotSubset\":\"⊂⃒\",\"NotSubsetEqual\":\"⊈\",\"NotSucceeds\":\"⊁\",\"NotSucceedsEqual\":\"⪰̸\",\"NotSucceedsSlantEqual\":\"⋡\",\"NotSucceedsTilde\":\"≿̸\",\"NotSuperset\":\"⊃⃒\",\"NotSupersetEqual\":\"⊉\",\"NotTilde\":\"≁\",\"NotTildeEqual\":\"≄\",\"NotTildeFullEqual\":\"≇\",\"NotTildeTilde\":\"≉\",\"NotVerticalBar\":\"∤\",\"nparallel\":\"∦\",\"npar\":\"∦\",\"nparsl\":\"⫽⃥\",\"npart\":\"∂̸\",\"npolint\":\"⨔\",\"npr\":\"⊀\",\"nprcue\":\"⋠\",\"nprec\":\"⊀\",\"npreceq\":\"⪯̸\",\"npre\":\"⪯̸\",\"nrarrc\":\"⤳̸\",\"nrarr\":\"↛\",\"nrArr\":\"⇏\",\"nrarrw\":\"↝̸\",\"nrightarrow\":\"↛\",\"nRightarrow\":\"⇏\",\"nrtri\":\"⋫\",\"nrtrie\":\"⋭\",\"nsc\":\"⊁\",\"nsccue\":\"⋡\",\"nsce\":\"⪰̸\",\"Nscr\":\"𝒩\",\"nscr\":\"𝓃\",\"nshortmid\":\"∤\",\"nshortparallel\":\"∦\",\"nsim\":\"≁\",\"nsime\":\"≄\",\"nsimeq\":\"≄\",\"nsmid\":\"∤\",\"nspar\":\"∦\",\"nsqsube\":\"⋢\",\"nsqsupe\":\"⋣\",\"nsub\":\"⊄\",\"nsubE\":\"⫅̸\",\"nsube\":\"⊈\",\"nsubset\":\"⊂⃒\",\"nsubseteq\":\"⊈\",\"nsubseteqq\":\"⫅̸\",\"nsucc\":\"⊁\",\"nsucceq\":\"⪰̸\",\"nsup\":\"⊅\",\"nsupE\":\"⫆̸\",\"nsupe\":\"⊉\",\"nsupset\":\"⊃⃒\",\"nsupseteq\":\"⊉\",\"nsupseteqq\":\"⫆̸\",\"ntgl\":\"≹\",\"Ntilde\":\"Ñ\",\"ntilde\":\"ñ\",\"ntlg\":\"≸\",\"ntriangleleft\":\"⋪\",\"ntrianglelefteq\":\"⋬\",\"ntriangleright\":\"⋫\",\"ntrianglerighteq\":\"⋭\",\"Nu\":\"Ν\",\"nu\":\"ν\",\"num\":\"#\",\"numero\":\"№\",\"numsp\":\" \",\"nvap\":\"≍⃒\",\"nvdash\":\"⊬\",\"nvDash\":\"⊭\",\"nVdash\":\"⊮\",\"nVDash\":\"⊯\",\"nvge\":\"≥⃒\",\"nvgt\":\">⃒\",\"nvHarr\":\"⤄\",\"nvinfin\":\"⧞\",\"nvlArr\":\"⤂\",\"nvle\":\"≤⃒\",\"nvlt\":\"<⃒\",\"nvltrie\":\"⊴⃒\",\"nvrArr\":\"⤃\",\"nvrtrie\":\"⊵⃒\",\"nvsim\":\"∼⃒\",\"nwarhk\":\"⤣\",\"nwarr\":\"↖\",\"nwArr\":\"⇖\",\"nwarrow\":\"↖\",\"nwnear\":\"⤧\",\"Oacute\":\"Ó\",\"oacute\":\"ó\",\"oast\":\"⊛\",\"Ocirc\":\"Ô\",\"ocirc\":\"ô\",\"ocir\":\"⊚\",\"Ocy\":\"О\",\"ocy\":\"о\",\"odash\":\"⊝\",\"Odblac\":\"Ő\",\"odblac\":\"ő\",\"odiv\":\"⨸\",\"odot\":\"⊙\",\"odsold\":\"⦼\",\"OElig\":\"Œ\",\"oelig\":\"œ\",\"ofcir\":\"⦿\",\"Ofr\":\"𝔒\",\"ofr\":\"𝔬\",\"ogon\":\"˛\",\"Ograve\":\"Ò\",\"ograve\":\"ò\",\"ogt\":\"⧁\",\"ohbar\":\"⦵\",\"ohm\":\"Ω\",\"oint\":\"∮\",\"olarr\":\"↺\",\"olcir\":\"⦾\",\"olcross\":\"⦻\",\"oline\":\"‾\",\"olt\":\"⧀\",\"Omacr\":\"Ō\",\"omacr\":\"ō\",\"Omega\":\"Ω\",\"omega\":\"ω\",\"Omicron\":\"Ο\",\"omicron\":\"ο\",\"omid\":\"⦶\",\"ominus\":\"⊖\",\"Oopf\":\"𝕆\",\"oopf\":\"𝕠\",\"opar\":\"⦷\",\"OpenCurlyDoubleQuote\":\"“\",\"OpenCurlyQuote\":\"‘\",\"operp\":\"⦹\",\"oplus\":\"⊕\",\"orarr\":\"↻\",\"Or\":\"⩔\",\"or\":\"∨\",\"ord\":\"⩝\",\"order\":\"ℴ\",\"orderof\":\"ℴ\",\"ordf\":\"ª\",\"ordm\":\"º\",\"origof\":\"⊶\",\"oror\":\"⩖\",\"orslope\":\"⩗\",\"orv\":\"⩛\",\"oS\":\"Ⓢ\",\"Oscr\":\"𝒪\",\"oscr\":\"ℴ\",\"Oslash\":\"Ø\",\"oslash\":\"ø\",\"osol\":\"⊘\",\"Otilde\":\"Õ\",\"otilde\":\"õ\",\"otimesas\":\"⨶\",\"Otimes\":\"⨷\",\"otimes\":\"⊗\",\"Ouml\":\"Ö\",\"ouml\":\"ö\",\"ovbar\":\"⌽\",\"OverBar\":\"‾\",\"OverBrace\":\"⏞\",\"OverBracket\":\"⎴\",\"OverParenthesis\":\"⏜\",\"para\":\"¶\",\"parallel\":\"∥\",\"par\":\"∥\",\"parsim\":\"⫳\",\"parsl\":\"⫽\",\"part\":\"∂\",\"PartialD\":\"∂\",\"Pcy\":\"П\",\"pcy\":\"п\",\"percnt\":\"%\",\"period\":\".\",\"permil\":\"‰\",\"perp\":\"⊥\",\"pertenk\":\"‱\",\"Pfr\":\"𝔓\",\"pfr\":\"𝔭\",\"Phi\":\"Φ\",\"phi\":\"φ\",\"phiv\":\"ϕ\",\"phmmat\":\"ℳ\",\"phone\":\"☎\",\"Pi\":\"Π\",\"pi\":\"π\",\"pitchfork\":\"⋔\",\"piv\":\"ϖ\",\"planck\":\"ℏ\",\"planckh\":\"ℎ\",\"plankv\":\"ℏ\",\"plusacir\":\"⨣\",\"plusb\":\"⊞\",\"pluscir\":\"⨢\",\"plus\":\"+\",\"plusdo\":\"∔\",\"plusdu\":\"⨥\",\"pluse\":\"⩲\",\"PlusMinus\":\"±\",\"plusmn\":\"±\",\"plussim\":\"⨦\",\"plustwo\":\"⨧\",\"pm\":\"±\",\"Poincareplane\":\"ℌ\",\"pointint\":\"⨕\",\"popf\":\"𝕡\",\"Popf\":\"ℙ\",\"pound\":\"£\",\"prap\":\"⪷\",\"Pr\":\"⪻\",\"pr\":\"≺\",\"prcue\":\"≼\",\"precapprox\":\"⪷\",\"prec\":\"≺\",\"preccurlyeq\":\"≼\",\"Precedes\":\"≺\",\"PrecedesEqual\":\"⪯\",\"PrecedesSlantEqual\":\"≼\",\"PrecedesTilde\":\"≾\",\"preceq\":\"⪯\",\"precnapprox\":\"⪹\",\"precneqq\":\"⪵\",\"precnsim\":\"⋨\",\"pre\":\"⪯\",\"prE\":\"⪳\",\"precsim\":\"≾\",\"prime\":\"′\",\"Prime\":\"″\",\"primes\":\"ℙ\",\"prnap\":\"⪹\",\"prnE\":\"⪵\",\"prnsim\":\"⋨\",\"prod\":\"∏\",\"Product\":\"∏\",\"profalar\":\"⌮\",\"profline\":\"⌒\",\"profsurf\":\"⌓\",\"prop\":\"∝\",\"Proportional\":\"∝\",\"Proportion\":\"∷\",\"propto\":\"∝\",\"prsim\":\"≾\",\"prurel\":\"⊰\",\"Pscr\":\"𝒫\",\"pscr\":\"𝓅\",\"Psi\":\"Ψ\",\"psi\":\"ψ\",\"puncsp\":\" \",\"Qfr\":\"𝔔\",\"qfr\":\"𝔮\",\"qint\":\"⨌\",\"qopf\":\"𝕢\",\"Qopf\":\"ℚ\",\"qprime\":\"⁗\",\"Qscr\":\"𝒬\",\"qscr\":\"𝓆\",\"quaternions\":\"ℍ\",\"quatint\":\"⨖\",\"quest\":\"?\",\"questeq\":\"≟\",\"quot\":\"\\\\\"\",\"QUOT\":\"\\\\\"\",\"rAarr\":\"⇛\",\"race\":\"∽̱\",\"Racute\":\"Ŕ\",\"racute\":\"ŕ\",\"radic\":\"√\",\"raemptyv\":\"⦳\",\"rang\":\"⟩\",\"Rang\":\"⟫\",\"rangd\":\"⦒\",\"range\":\"⦥\",\"rangle\":\"⟩\",\"raquo\":\"»\",\"rarrap\":\"⥵\",\"rarrb\":\"⇥\",\"rarrbfs\":\"⤠\",\"rarrc\":\"⤳\",\"rarr\":\"→\",\"Rarr\":\"↠\",\"rArr\":\"⇒\",\"rarrfs\":\"⤞\",\"rarrhk\":\"↪\",\"rarrlp\":\"↬\",\"rarrpl\":\"⥅\",\"rarrsim\":\"⥴\",\"Rarrtl\":\"⤖\",\"rarrtl\":\"↣\",\"rarrw\":\"↝\",\"ratail\":\"⤚\",\"rAtail\":\"⤜\",\"ratio\":\"∶\",\"rationals\":\"ℚ\",\"rbarr\":\"⤍\",\"rBarr\":\"⤏\",\"RBarr\":\"⤐\",\"rbbrk\":\"❳\",\"rbrace\":\"}\",\"rbrack\":\"]\",\"rbrke\":\"⦌\",\"rbrksld\":\"⦎\",\"rbrkslu\":\"⦐\",\"Rcaron\":\"Ř\",\"rcaron\":\"ř\",\"Rcedil\":\"Ŗ\",\"rcedil\":\"ŗ\",\"rceil\":\"⌉\",\"rcub\":\"}\",\"Rcy\":\"Р\",\"rcy\":\"р\",\"rdca\":\"⤷\",\"rdldhar\":\"⥩\",\"rdquo\":\"”\",\"rdquor\":\"”\",\"rdsh\":\"↳\",\"real\":\"ℜ\",\"realine\":\"ℛ\",\"realpart\":\"ℜ\",\"reals\":\"ℝ\",\"Re\":\"ℜ\",\"rect\":\"▭\",\"reg\":\"®\",\"REG\":\"®\",\"ReverseElement\":\"∋\",\"ReverseEquilibrium\":\"⇋\",\"ReverseUpEquilibrium\":\"⥯\",\"rfisht\":\"⥽\",\"rfloor\":\"⌋\",\"rfr\":\"𝔯\",\"Rfr\":\"ℜ\",\"rHar\":\"⥤\",\"rhard\":\"⇁\",\"rharu\":\"⇀\",\"rharul\":\"⥬\",\"Rho\":\"Ρ\",\"rho\":\"ρ\",\"rhov\":\"ϱ\",\"RightAngleBracket\":\"⟩\",\"RightArrowBar\":\"⇥\",\"rightarrow\":\"→\",\"RightArrow\":\"→\",\"Rightarrow\":\"⇒\",\"RightArrowLeftArrow\":\"⇄\",\"rightarrowtail\":\"↣\",\"RightCeiling\":\"⌉\",\"RightDoubleBracket\":\"⟧\",\"RightDownTeeVector\":\"⥝\",\"RightDownVectorBar\":\"⥕\",\"RightDownVector\":\"⇂\",\"RightFloor\":\"⌋\",\"rightharpoondown\":\"⇁\",\"rightharpoonup\":\"⇀\",\"rightleftarrows\":\"⇄\",\"rightleftharpoons\":\"⇌\",\"rightrightarrows\":\"⇉\",\"rightsquigarrow\":\"↝\",\"RightTeeArrow\":\"↦\",\"RightTee\":\"⊢\",\"RightTeeVector\":\"⥛\",\"rightthreetimes\":\"⋌\",\"RightTriangleBar\":\"⧐\",\"RightTriangle\":\"⊳\",\"RightTriangleEqual\":\"⊵\",\"RightUpDownVector\":\"⥏\",\"RightUpTeeVector\":\"⥜\",\"RightUpVectorBar\":\"⥔\",\"RightUpVector\":\"↾\",\"RightVectorBar\":\"⥓\",\"RightVector\":\"⇀\",\"ring\":\"˚\",\"risingdotseq\":\"≓\",\"rlarr\":\"⇄\",\"rlhar\":\"⇌\",\"rlm\":\"‏\",\"rmoustache\":\"⎱\",\"rmoust\":\"⎱\",\"rnmid\":\"⫮\",\"roang\":\"⟭\",\"roarr\":\"⇾\",\"robrk\":\"⟧\",\"ropar\":\"⦆\",\"ropf\":\"𝕣\",\"Ropf\":\"ℝ\",\"roplus\":\"⨮\",\"rotimes\":\"⨵\",\"RoundImplies\":\"⥰\",\"rpar\":\")\",\"rpargt\":\"⦔\",\"rppolint\":\"⨒\",\"rrarr\":\"⇉\",\"Rrightarrow\":\"⇛\",\"rsaquo\":\"›\",\"rscr\":\"𝓇\",\"Rscr\":\"ℛ\",\"rsh\":\"↱\",\"Rsh\":\"↱\",\"rsqb\":\"]\",\"rsquo\":\"’\",\"rsquor\":\"’\",\"rthree\":\"⋌\",\"rtimes\":\"⋊\",\"rtri\":\"▹\",\"rtrie\":\"⊵\",\"rtrif\":\"▸\",\"rtriltri\":\"⧎\",\"RuleDelayed\":\"⧴\",\"ruluhar\":\"⥨\",\"rx\":\"℞\",\"Sacute\":\"Ś\",\"sacute\":\"ś\",\"sbquo\":\"‚\",\"scap\":\"⪸\",\"Scaron\":\"Š\",\"scaron\":\"š\",\"Sc\":\"⪼\",\"sc\":\"≻\",\"sccue\":\"≽\",\"sce\":\"⪰\",\"scE\":\"⪴\",\"Scedil\":\"Ş\",\"scedil\":\"ş\",\"Scirc\":\"Ŝ\",\"scirc\":\"ŝ\",\"scnap\":\"⪺\",\"scnE\":\"⪶\",\"scnsim\":\"⋩\",\"scpolint\":\"⨓\",\"scsim\":\"≿\",\"Scy\":\"С\",\"scy\":\"с\",\"sdotb\":\"⊡\",\"sdot\":\"⋅\",\"sdote\":\"⩦\",\"searhk\":\"⤥\",\"searr\":\"↘\",\"seArr\":\"⇘\",\"searrow\":\"↘\",\"sect\":\"§\",\"semi\":\";\",\"seswar\":\"⤩\",\"setminus\":\"∖\",\"setmn\":\"∖\",\"sext\":\"✶\",\"Sfr\":\"𝔖\",\"sfr\":\"𝔰\",\"sfrown\":\"⌢\",\"sharp\":\"♯\",\"SHCHcy\":\"Щ\",\"shchcy\":\"щ\",\"SHcy\":\"Ш\",\"shcy\":\"ш\",\"ShortDownArrow\":\"↓\",\"ShortLeftArrow\":\"←\",\"shortmid\":\"∣\",\"shortparallel\":\"∥\",\"ShortRightArrow\":\"→\",\"ShortUpArrow\":\"↑\",\"shy\":\"­\",\"Sigma\":\"Σ\",\"sigma\":\"σ\",\"sigmaf\":\"ς\",\"sigmav\":\"ς\",\"sim\":\"∼\",\"simdot\":\"⩪\",\"sime\":\"≃\",\"simeq\":\"≃\",\"simg\":\"⪞\",\"simgE\":\"⪠\",\"siml\":\"⪝\",\"simlE\":\"⪟\",\"simne\":\"≆\",\"simplus\":\"⨤\",\"simrarr\":\"⥲\",\"slarr\":\"←\",\"SmallCircle\":\"∘\",\"smallsetminus\":\"∖\",\"smashp\":\"⨳\",\"smeparsl\":\"⧤\",\"smid\":\"∣\",\"smile\":\"⌣\",\"smt\":\"⪪\",\"smte\":\"⪬\",\"smtes\":\"⪬︀\",\"SOFTcy\":\"Ь\",\"softcy\":\"ь\",\"solbar\":\"⌿\",\"solb\":\"⧄\",\"sol\":\"/\",\"Sopf\":\"𝕊\",\"sopf\":\"𝕤\",\"spades\":\"♠\",\"spadesuit\":\"♠\",\"spar\":\"∥\",\"sqcap\":\"⊓\",\"sqcaps\":\"⊓︀\",\"sqcup\":\"⊔\",\"sqcups\":\"⊔︀\",\"Sqrt\":\"√\",\"sqsub\":\"⊏\",\"sqsube\":\"⊑\",\"sqsubset\":\"⊏\",\"sqsubseteq\":\"⊑\",\"sqsup\":\"⊐\",\"sqsupe\":\"⊒\",\"sqsupset\":\"⊐\",\"sqsupseteq\":\"⊒\",\"square\":\"□\",\"Square\":\"□\",\"SquareIntersection\":\"⊓\",\"SquareSubset\":\"⊏\",\"SquareSubsetEqual\":\"⊑\",\"SquareSuperset\":\"⊐\",\"SquareSupersetEqual\":\"⊒\",\"SquareUnion\":\"⊔\",\"squarf\":\"▪\",\"squ\":\"□\",\"squf\":\"▪\",\"srarr\":\"→\",\"Sscr\":\"𝒮\",\"sscr\":\"𝓈\",\"ssetmn\":\"∖\",\"ssmile\":\"⌣\",\"sstarf\":\"⋆\",\"Star\":\"⋆\",\"star\":\"☆\",\"starf\":\"★\",\"straightepsilon\":\"ϵ\",\"straightphi\":\"ϕ\",\"strns\":\"¯\",\"sub\":\"⊂\",\"Sub\":\"⋐\",\"subdot\":\"⪽\",\"subE\":\"⫅\",\"sube\":\"⊆\",\"subedot\":\"⫃\",\"submult\":\"⫁\",\"subnE\":\"⫋\",\"subne\":\"⊊\",\"subplus\":\"⪿\",\"subrarr\":\"⥹\",\"subset\":\"⊂\",\"Subset\":\"⋐\",\"subseteq\":\"⊆\",\"subseteqq\":\"⫅\",\"SubsetEqual\":\"⊆\",\"subsetneq\":\"⊊\",\"subsetneqq\":\"⫋\",\"subsim\":\"⫇\",\"subsub\":\"⫕\",\"subsup\":\"⫓\",\"succapprox\":\"⪸\",\"succ\":\"≻\",\"succcurlyeq\":\"≽\",\"Succeeds\":\"≻\",\"SucceedsEqual\":\"⪰\",\"SucceedsSlantEqual\":\"≽\",\"SucceedsTilde\":\"≿\",\"succeq\":\"⪰\",\"succnapprox\":\"⪺\",\"succneqq\":\"⪶\",\"succnsim\":\"⋩\",\"succsim\":\"≿\",\"SuchThat\":\"∋\",\"sum\":\"∑\",\"Sum\":\"∑\",\"sung\":\"♪\",\"sup1\":\"¹\",\"sup2\":\"²\",\"sup3\":\"³\",\"sup\":\"⊃\",\"Sup\":\"⋑\",\"supdot\":\"⪾\",\"supdsub\":\"⫘\",\"supE\":\"⫆\",\"supe\":\"⊇\",\"supedot\":\"⫄\",\"Superset\":\"⊃\",\"SupersetEqual\":\"⊇\",\"suphsol\":\"⟉\",\"suphsub\":\"⫗\",\"suplarr\":\"⥻\",\"supmult\":\"⫂\",\"supnE\":\"⫌\",\"supne\":\"⊋\",\"supplus\":\"⫀\",\"supset\":\"⊃\",\"Supset\":\"⋑\",\"supseteq\":\"⊇\",\"supseteqq\":\"⫆\",\"supsetneq\":\"⊋\",\"supsetneqq\":\"⫌\",\"supsim\":\"⫈\",\"supsub\":\"⫔\",\"supsup\":\"⫖\",\"swarhk\":\"⤦\",\"swarr\":\"↙\",\"swArr\":\"⇙\",\"swarrow\":\"↙\",\"swnwar\":\"⤪\",\"szlig\":\"ß\",\"Tab\":\"\\\\t\",\"target\":\"⌖\",\"Tau\":\"Τ\",\"tau\":\"τ\",\"tbrk\":\"⎴\",\"Tcaron\":\"Ť\",\"tcaron\":\"ť\",\"Tcedil\":\"Ţ\",\"tcedil\":\"ţ\",\"Tcy\":\"Т\",\"tcy\":\"т\",\"tdot\":\"⃛\",\"telrec\":\"⌕\",\"Tfr\":\"𝔗\",\"tfr\":\"𝔱\",\"there4\":\"∴\",\"therefore\":\"∴\",\"Therefore\":\"∴\",\"Theta\":\"Θ\",\"theta\":\"θ\",\"thetasym\":\"ϑ\",\"thetav\":\"ϑ\",\"thickapprox\":\"≈\",\"thicksim\":\"∼\",\"ThickSpace\":\"  \",\"ThinSpace\":\" \",\"thinsp\":\" \",\"thkap\":\"≈\",\"thksim\":\"∼\",\"THORN\":\"Þ\",\"thorn\":\"þ\",\"tilde\":\"˜\",\"Tilde\":\"∼\",\"TildeEqual\":\"≃\",\"TildeFullEqual\":\"≅\",\"TildeTilde\":\"≈\",\"timesbar\":\"⨱\",\"timesb\":\"⊠\",\"times\":\"×\",\"timesd\":\"⨰\",\"tint\":\"∭\",\"toea\":\"⤨\",\"topbot\":\"⌶\",\"topcir\":\"⫱\",\"top\":\"⊤\",\"Topf\":\"𝕋\",\"topf\":\"𝕥\",\"topfork\":\"⫚\",\"tosa\":\"⤩\",\"tprime\":\"‴\",\"trade\":\"™\",\"TRADE\":\"™\",\"triangle\":\"▵\",\"triangledown\":\"▿\",\"triangleleft\":\"◃\",\"trianglelefteq\":\"⊴\",\"triangleq\":\"≜\",\"triangleright\":\"▹\",\"trianglerighteq\":\"⊵\",\"tridot\":\"◬\",\"trie\":\"≜\",\"triminus\":\"⨺\",\"TripleDot\":\"⃛\",\"triplus\":\"⨹\",\"trisb\":\"⧍\",\"tritime\":\"⨻\",\"trpezium\":\"⏢\",\"Tscr\":\"𝒯\",\"tscr\":\"𝓉\",\"TScy\":\"Ц\",\"tscy\":\"ц\",\"TSHcy\":\"Ћ\",\"tshcy\":\"ћ\",\"Tstrok\":\"Ŧ\",\"tstrok\":\"ŧ\",\"twixt\":\"≬\",\"twoheadleftarrow\":\"↞\",\"twoheadrightarrow\":\"↠\",\"Uacute\":\"Ú\",\"uacute\":\"ú\",\"uarr\":\"↑\",\"Uarr\":\"↟\",\"uArr\":\"⇑\",\"Uarrocir\":\"⥉\",\"Ubrcy\":\"Ў\",\"ubrcy\":\"ў\",\"Ubreve\":\"Ŭ\",\"ubreve\":\"ŭ\",\"Ucirc\":\"Û\",\"ucirc\":\"û\",\"Ucy\":\"У\",\"ucy\":\"у\",\"udarr\":\"⇅\",\"Udblac\":\"Ű\",\"udblac\":\"ű\",\"udhar\":\"⥮\",\"ufisht\":\"⥾\",\"Ufr\":\"𝔘\",\"ufr\":\"𝔲\",\"Ugrave\":\"Ù\",\"ugrave\":\"ù\",\"uHar\":\"⥣\",\"uharl\":\"↿\",\"uharr\":\"↾\",\"uhblk\":\"▀\",\"ulcorn\":\"⌜\",\"ulcorner\":\"⌜\",\"ulcrop\":\"⌏\",\"ultri\":\"◸\",\"Umacr\":\"Ū\",\"umacr\":\"ū\",\"uml\":\"¨\",\"UnderBar\":\"_\",\"UnderBrace\":\"⏟\",\"UnderBracket\":\"⎵\",\"UnderParenthesis\":\"⏝\",\"Union\":\"⋃\",\"UnionPlus\":\"⊎\",\"Uogon\":\"Ų\",\"uogon\":\"ų\",\"Uopf\":\"𝕌\",\"uopf\":\"𝕦\",\"UpArrowBar\":\"⤒\",\"uparrow\":\"↑\",\"UpArrow\":\"↑\",\"Uparrow\":\"⇑\",\"UpArrowDownArrow\":\"⇅\",\"updownarrow\":\"↕\",\"UpDownArrow\":\"↕\",\"Updownarrow\":\"⇕\",\"UpEquilibrium\":\"⥮\",\"upharpoonleft\":\"↿\",\"upharpoonright\":\"↾\",\"uplus\":\"⊎\",\"UpperLeftArrow\":\"↖\",\"UpperRightArrow\":\"↗\",\"upsi\":\"υ\",\"Upsi\":\"ϒ\",\"upsih\":\"ϒ\",\"Upsilon\":\"Υ\",\"upsilon\":\"υ\",\"UpTeeArrow\":\"↥\",\"UpTee\":\"⊥\",\"upuparrows\":\"⇈\",\"urcorn\":\"⌝\",\"urcorner\":\"⌝\",\"urcrop\":\"⌎\",\"Uring\":\"Ů\",\"uring\":\"ů\",\"urtri\":\"◹\",\"Uscr\":\"𝒰\",\"uscr\":\"𝓊\",\"utdot\":\"⋰\",\"Utilde\":\"Ũ\",\"utilde\":\"ũ\",\"utri\":\"▵\",\"utrif\":\"▴\",\"uuarr\":\"⇈\",\"Uuml\":\"Ü\",\"uuml\":\"ü\",\"uwangle\":\"⦧\",\"vangrt\":\"⦜\",\"varepsilon\":\"ϵ\",\"varkappa\":\"ϰ\",\"varnothing\":\"∅\",\"varphi\":\"ϕ\",\"varpi\":\"ϖ\",\"varpropto\":\"∝\",\"varr\":\"↕\",\"vArr\":\"⇕\",\"varrho\":\"ϱ\",\"varsigma\":\"ς\",\"varsubsetneq\":\"⊊︀\",\"varsubsetneqq\":\"⫋︀\",\"varsupsetneq\":\"⊋︀\",\"varsupsetneqq\":\"⫌︀\",\"vartheta\":\"ϑ\",\"vartriangleleft\":\"⊲\",\"vartriangleright\":\"⊳\",\"vBar\":\"⫨\",\"Vbar\":\"⫫\",\"vBarv\":\"⫩\",\"Vcy\":\"В\",\"vcy\":\"в\",\"vdash\":\"⊢\",\"vDash\":\"⊨\",\"Vdash\":\"⊩\",\"VDash\":\"⊫\",\"Vdashl\":\"⫦\",\"veebar\":\"⊻\",\"vee\":\"∨\",\"Vee\":\"⋁\",\"veeeq\":\"≚\",\"vellip\":\"⋮\",\"verbar\":\"|\",\"Verbar\":\"‖\",\"vert\":\"|\",\"Vert\":\"‖\",\"VerticalBar\":\"∣\",\"VerticalLine\":\"|\",\"VerticalSeparator\":\"❘\",\"VerticalTilde\":\"≀\",\"VeryThinSpace\":\" \",\"Vfr\":\"𝔙\",\"vfr\":\"𝔳\",\"vltri\":\"⊲\",\"vnsub\":\"⊂⃒\",\"vnsup\":\"⊃⃒\",\"Vopf\":\"𝕍\",\"vopf\":\"𝕧\",\"vprop\":\"∝\",\"vrtri\":\"⊳\",\"Vscr\":\"𝒱\",\"vscr\":\"𝓋\",\"vsubnE\":\"⫋︀\",\"vsubne\":\"⊊︀\",\"vsupnE\":\"⫌︀\",\"vsupne\":\"⊋︀\",\"Vvdash\":\"⊪\",\"vzigzag\":\"⦚\",\"Wcirc\":\"Ŵ\",\"wcirc\":\"ŵ\",\"wedbar\":\"⩟\",\"wedge\":\"∧\",\"Wedge\":\"⋀\",\"wedgeq\":\"≙\",\"weierp\":\"℘\",\"Wfr\":\"𝔚\",\"wfr\":\"𝔴\",\"Wopf\":\"𝕎\",\"wopf\":\"𝕨\",\"wp\":\"℘\",\"wr\":\"≀\",\"wreath\":\"≀\",\"Wscr\":\"𝒲\",\"wscr\":\"𝓌\",\"xcap\":\"⋂\",\"xcirc\":\"◯\",\"xcup\":\"⋃\",\"xdtri\":\"▽\",\"Xfr\":\"𝔛\",\"xfr\":\"𝔵\",\"xharr\":\"⟷\",\"xhArr\":\"⟺\",\"Xi\":\"Ξ\",\"xi\":\"ξ\",\"xlarr\":\"⟵\",\"xlArr\":\"⟸\",\"xmap\":\"⟼\",\"xnis\":\"⋻\",\"xodot\":\"⨀\",\"Xopf\":\"𝕏\",\"xopf\":\"𝕩\",\"xoplus\":\"⨁\",\"xotime\":\"⨂\",\"xrarr\":\"⟶\",\"xrArr\":\"⟹\",\"Xscr\":\"𝒳\",\"xscr\":\"𝓍\",\"xsqcup\":\"⨆\",\"xuplus\":\"⨄\",\"xutri\":\"△\",\"xvee\":\"⋁\",\"xwedge\":\"⋀\",\"Yacute\":\"Ý\",\"yacute\":\"ý\",\"YAcy\":\"Я\",\"yacy\":\"я\",\"Ycirc\":\"Ŷ\",\"ycirc\":\"ŷ\",\"Ycy\":\"Ы\",\"ycy\":\"ы\",\"yen\":\"¥\",\"Yfr\":\"𝔜\",\"yfr\":\"𝔶\",\"YIcy\":\"Ї\",\"yicy\":\"ї\",\"Yopf\":\"𝕐\",\"yopf\":\"𝕪\",\"Yscr\":\"𝒴\",\"yscr\":\"𝓎\",\"YUcy\":\"Ю\",\"yucy\":\"ю\",\"yuml\":\"ÿ\",\"Yuml\":\"Ÿ\",\"Zacute\":\"Ź\",\"zacute\":\"ź\",\"Zcaron\":\"Ž\",\"zcaron\":\"ž\",\"Zcy\":\"З\",\"zcy\":\"з\",\"Zdot\":\"Ż\",\"zdot\":\"ż\",\"zeetrf\":\"ℨ\",\"ZeroWidthSpace\":\"​\",\"Zeta\":\"Ζ\",\"zeta\":\"ζ\",\"zfr\":\"𝔷\",\"Zfr\":\"ℨ\",\"ZHcy\":\"Ж\",\"zhcy\":\"ж\",\"zigrarr\":\"⇝\",\"zopf\":\"𝕫\",\"Zopf\":\"ℤ\",\"Zscr\":\"𝒵\",\"zscr\":\"𝓏\",\"zwj\":\"‍\",\"zwnj\":\"‌\"}');},c6b6:function(t,e){var 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son\":\"👱\",\"man\":\"👨\",\"bearded_person\":\"🧔\",\"red_haired_man\":\"👨‍🦰\",\"curly_haired_man\":\"👨‍🦱\",\"white_haired_man\":\"👨‍🦳\",\"bald_man\":\"👨‍🦲\",\"woman\":\"👩\",\"red_haired_woman\":\"👩‍🦰\",\"person_red_hair\":\"🧑‍🦰\",\"curly_haired_woman\":\"👩‍🦱\",\"person_curly_hair\":\"🧑‍🦱\",\"white_haired_woman\":\"👩‍🦳\",\"person_white_hair\":\"🧑‍🦳\",\"bald_woman\":\"👩‍🦲\",\"person_bald\":\"🧑‍🦲\",\"blond_haired_woman\":\"👱‍♀️\",\"blonde_woman\":\"👱‍♀️\",\"blond_haired_man\":\"👱‍♂️\",\"older_adult\":\"🧓\",\"older_man\":\"👴\",\"older_woman\":\"👵\",\"frowning_person\":\"🙍\",\"frowning_man\":\"🙍‍♂️\",\"frowning_woman\":\"🙍‍♀️\",\"pouting_face\":\"🙎\",\"pouting_man\":\"🙎‍♂️\",\"pouting_woman\":\"🙎‍♀️\",\"no_good\":\"🙅\",\"no_good_man\":\"🙅‍♂️\",\"ng_man\":\"🙅‍♂️\",\"no_good_woman\":\"🙅‍♀️\",\"ng_woman\":\"🙅‍♀️\",\"ok_person\":\"🙆\",\"ok_man\":\"🙆‍♂️\",\"ok_woman\":\"🙆‍♀️\",\"tipping_hand_person\":\"💁\",\"information_desk_person\":\"💁\",\"tipping_hand_man\":\"💁‍♂️\",\"sassy_man\":\"💁‍♂️\",\"tipping_hand_woman\":\"💁‍♀️\",\"sassy_woman\":\"💁‍♀️\",\"raising_hand\":\"🙋\",\"raising_hand_man\":\"🙋‍♂️\",\"raising_hand_woman\":\"🙋‍♀️\",\"deaf_person\":\"🧏\",\"deaf_man\":\"🧏‍♂️\",\"deaf_woman\":\"🧏‍♀️\",\"bow\":\"🙇\",\"bowing_man\":\"🙇‍♂️\",\"bowing_woman\":\"🙇‍♀️\",\"facepalm\":\"🤦\",\"man_facepalming\":\"🤦‍♂️\",\"woman_facepalming\":\"🤦‍♀️\",\"shrug\":\"🤷\",\"man_shrugging\":\"🤷‍♂️\",\"woman_shrugging\":\"🤷‍♀️\",\"health_worker\":\"🧑‍⚕️\",\"man_health_worker\":\"👨‍⚕️\",\"woman_health_worker\":\"👩‍⚕️\",\"student\":\"🧑‍🎓\",\"man_student\":\"👨‍🎓\",\"woman_student\":\"👩‍🎓\",\"teacher\":\"🧑‍🏫\",\"man_teacher\":\"👨‍🏫\",\"woman_teacher\":\"👩‍🏫\",\"judge\":\"🧑‍⚖️\",\"man_judge\":\"👨‍⚖️\",\"woman_judge\":\"👩‍⚖️\",\"farmer\":\"🧑‍🌾\",\"man_farmer\":\"👨‍🌾\",\"woman_farmer\":\"👩‍🌾\",\"cook\":\"🧑‍🍳\",\"man_cook\":\"👨‍🍳\",\"woman_cook\":\"👩‍🍳\",\"mechanic\":\"🧑‍🔧\",\"man_mechanic\":\"👨‍🔧\",\"woman_mechanic\":\"👩‍🔧\",\"factory_worker\":\"🧑‍🏭\",\"man_factory_worker\":\"👨‍🏭\",\"woman_factory_worker\":\"👩‍🏭\",\"office_worker\":\"🧑‍💼\",\"man_office_worker\":\"👨‍💼\",\"woman_office_worker\":\"👩‍💼\",\"scientist\":\"🧑‍🔬\",\"man_scientist\":\"👨‍🔬\",\"woman_scientist\":\"👩‍🔬\",\"technologist\":\"🧑‍💻\",\"man_technologist\":\"👨‍💻\",\"woman_technologist\":\"👩‍💻\",\"singer\":\"🧑‍🎤\",\"man_singer\":\"👨‍🎤\",\"woman_singer\":\"👩‍🎤\",\"artist\":\"🧑‍🎨\",\"man_artist\":\"👨‍🎨\",\"woman_artist\":\"👩‍🎨\",\"pilot\":\"🧑‍✈️\",\"man_pilot\":\"👨‍✈️\",\"woman_pilot\":\"👩‍✈️\",\"astronaut\":\"🧑‍🚀\",\"man_astronaut\":\"👨‍🚀\",\"woman_astronaut\":\"👩‍🚀\",\"firefighter\":\"🧑‍🚒\",\"man_firefighter\":\"👨‍🚒\",\"woman_firefighter\":\"👩‍🚒\",\"police_officer\":\"👮\",\"cop\":\"👮\",\"policeman\":\"👮‍♂️\",\"policewoman\":\"👮‍♀️\",\"detective\":\"🕵️\",\"male_detective\":\"🕵️‍♂️\",\"female_detective\":\"🕵️‍♀️\",\"guard\":\"💂\",\"guardsman\":\"💂‍♂️\",\"guardswoman\":\"💂‍♀️\",\"ninja\":\"🥷\",\"construction_worker\":\"👷\",\"construction_worker_man\":\"👷‍♂️\",\"construction_worker_woman\":\"👷‍♀️\",\"prince\":\"🤴\",\"princess\":\"👸\",\"person_with_turban\":\"👳\",\"man_with_turban\":\"👳‍♂️\",\"woman_with_turban\":\"👳‍♀️\",\"man_with_gua_pi_mao\":\"👲\",\"woman_with_headscarf\":\"🧕\",\"person_in_tuxedo\":\"🤵\",\"man_in_tuxedo\":\"🤵‍♂️\",\"woman_in_tuxedo\":\"🤵‍♀️\",\"person_with_veil\":\"👰\",\"man_with_veil\":\"👰‍♂️\",\"woman_with_veil\":\"👰‍♀️\",\"bride_with_veil\":\"👰‍♀️\",\"pregnant_woman\":\"🤰\",\"breast_feeding\":\"🤱\",\"woman_feeding_baby\":\"👩‍🍼\",\"man_feeding_baby\":\"👨‍🍼\",\"person_feeding_baby\":\"🧑‍🍼\",\"angel\":\"👼\",\"santa\":\"🎅\",\"mrs_claus\":\"🤶\",\"mx_claus\":\"🧑‍🎄\",\"superhero\":\"🦸\",\"superhero_man\":\"🦸‍♂️\",\"superhero_woman\":\"🦸‍♀️\",\"supervillain\":\"🦹\",\"supervillain_man\":\"🦹‍♂️\",\"supervillain_woman\":\"🦹‍♀️\",\"mage\":\"🧙\",\"mage_man\":\"🧙‍♂️\",\"mage_woman\":\"🧙‍♀️\",\"fairy\":\"🧚\",\"fairy_man\":\"🧚‍♂️\",\"fairy_woman\":\"🧚‍♀️\",\"vampire\":\"🧛\",\"vampire_man\":\"🧛‍♂️\",\"vampire_woman\":\"🧛‍♀️\",\"merperson\":\"🧜\",\"merman\":\"🧜‍♂️\",\"mermaid\":\"🧜‍♀️\",\"elf\":\"🧝\",\"elf_man\":\"🧝‍♂️\",\"elf_woman\":\"🧝‍♀️\",\"genie\":\"🧞\",\"genie_man\":\"🧞‍♂️\",\"genie_woman\":\"🧞‍♀️\",\"zombie\":\"🧟\",\"zombie_man\":\"🧟‍♂️\",\"zombie_woman\":\"🧟‍♀️\",\"massage\":\"💆\",\"massage_man\":\"💆‍♂️\",\"massage_woman\":\"💆‍♀️\",\"haircut\":\"💇\",\"haircut_man\":\"💇‍♂️\",\"haircut_woman\":\"💇‍♀️\",\"walking\":\"🚶\",\"walking_man\":\"🚶‍♂️\",\"walking_woman\":\"🚶‍♀️\",\"standing_person\":\"🧍\",\"standing_man\":\"🧍‍♂️\",\"standing_woman\":\"🧍‍♀️\",\"kneeling_person\":\"🧎\",\"kneeling_man\":\"🧎‍♂️\",\"kneeling_woman\":\"🧎‍♀️\",\"person_with_probing_cane\":\"🧑‍🦯\",\"man_with_probing_cane\":\"👨‍🦯\",\"woman_with_probing_cane\":\"👩‍🦯\",\"person_in_motorized_wheelchair\":\"🧑‍🦼\",\"man_in_motorized_wheelchair\":\"👨‍🦼\",\"woman_in_motorized_wheelchair\":\"👩‍🦼\",\"person_in_manual_wheelchair\":\"🧑‍🦽\",\"man_in_manual_wheelchair\":\"👨‍🦽\",\"woman_in_manual_wheelchair\":\"👩‍🦽\",\"runner\":\"🏃\",\"running\":\"🏃\",\"running_man\":\"🏃‍♂️\",\"running_woman\":\"🏃‍♀️\",\"woman_dancing\":\"💃\",\"dancer\":\"💃\",\"man_dancing\":\"🕺\",\"business_suit_levitating\":\"🕴️\",\"dancers\":\"👯\",\"dancing_men\":\"👯‍♂️\",\"dancing_women\":\"👯‍♀️\",\"sauna_person\":\"🧖\",\"sauna_man\":\"🧖‍♂️\",\"sauna_woman\":\"🧖‍♀️\",\"climbing\":\"🧗\",\"climbing_man\":\"🧗‍♂️\",\"climbing_woman\":\"🧗‍♀️\",\"person_fencing\":\"🤺\",\"horse_racing\":\"🏇\",\"skier\":\"⛷️\",\"snowboarder\":\"🏂\",\"golfing\":\"🏌️\",\"golfing_man\":\"🏌️‍♂️\",\"golfing_woman\":\"🏌️‍♀️\",\"surfer\":\"🏄\",\"surfing_man\":\"🏄‍♂️\",\"surfing_woman\":\"🏄‍♀️\",\"rowboat\":\"🚣\",\"rowing_man\":\"🚣‍♂️\",\"rowing_woman\":\"🚣‍♀️\",\"swimmer\":\"🏊\",\"swimming_man\":\"🏊‍♂️\",\"swimming_woman\":\"🏊‍♀️\",\"bouncing_ball_person\":\"⛹️\",\"bouncing_ball_man\":\"⛹️‍♂️\",\"basketball_man\":\"⛹️‍♂️\",\"bouncing_ball_woman\":\"⛹️‍♀️\",\"basketball_woman\":\"⛹️‍♀️\",\"weight_lifting\":\"🏋️\",\"weight_lifting_man\":\"🏋️‍♂️\",\"weight_lifting_woman\":\"🏋️‍♀️\",\"bicyclist\":\"🚴\",\"biking_man\":\"🚴‍♂️\",\"biking_woman\":\"🚴‍♀️\",\"mountain_bicyclist\":\"🚵\",\"mountain_biking_man\":\"🚵‍♂️\",\"mountain_biking_woman\":\"🚵‍♀️\",\"cartwheeling\":\"🤸\",\"man_cartwheeling\":\"🤸‍♂️\",\"woman_cartwheeling\":\"🤸‍♀️\",\"wrestling\":\"🤼\",\"men_wrestling\":\"🤼‍♂️\",\"women_wrestling\":\"🤼‍♀️\",\"water_polo\":\"🤽\",\"man_playing_water_polo\":\"🤽‍♂️\",\"woman_playing_water_polo\":\"🤽‍♀️\",\"handball_person\":\"🤾\",\"man_playing_handball\":\"🤾‍♂️\",\"woman_playing_handball\":\"🤾‍♀️\",\"juggling_person\":\"🤹\",\"man_juggling\":\"🤹‍♂️\",\"woman_juggling\":\"🤹‍♀️\",\"lotus_position\":\"🧘\",\"lotus_position_man\":\"🧘‍♂️\",\"lotus_position_woman\":\"🧘‍♀️\",\"bath\":\"🛀\",\"sleeping_bed\":\"🛌\",\"people_holding_hands\":\"🧑‍🤝‍🧑\",\"two_women_holding_hands\":\"👭\",\"couple\":\"👫\",\"two_men_holding_hands\":\"👬\",\"couplekiss\":\"💏\",\"couplekiss_man_woman\":\"👩‍❤️‍💋‍👨\",\"couplekiss_man_man\":\"👨‍❤️‍💋‍👨\",\"couplekiss_woman_woman\":\"👩‍❤️‍💋‍👩\",\"couple_with_heart\":\"💑\",\"couple_with_heart_woman_man\":\"👩‍❤️‍👨\",\"couple_with_heart_man_man\":\"👨‍❤️‍👨\",\"couple_with_heart_woman_woman\":\"👩‍❤️‍👩\",\"family\":\"👪\",\"family_man_woman_boy\":\"👨‍👩‍👦\",\"family_man_woman_girl\":\"👨‍👩‍👧\",\"family_man_woman_girl_boy\":\"👨‍👩‍👧‍👦\",\"family_man_woman_boy_boy\":\"👨‍👩‍👦‍👦\",\"family_man_woman_girl_girl\":\"👨‍👩‍👧‍👧\",\"family_man_man_boy\":\"👨‍👨‍👦\",\"family_man_man_girl\":\"👨‍👨‍👧\",\"family_man_man_girl_boy\":\"👨‍👨‍👧‍👦\",\"family_man_man_boy_boy\":\"👨‍👨‍👦‍👦\",\"family_man_man_girl_girl\":\"👨‍👨‍👧‍👧\",\"family_woman_woman_boy\":\"👩‍👩‍👦\",\"family_woman_woman_girl\":\"👩‍👩‍👧\",\"family_woman_woman_girl_boy\":\"👩‍👩‍👧‍👦\",\"family_woman_woman_boy_boy\":\"👩‍👩‍👦‍👦\",\"family_woman_woman_girl_girl\":\"👩‍👩‍👧‍👧\",\"family_man_boy\":\"👨‍👦\",\"family_man_boy_boy\":\"👨‍👦‍👦\",\"family_man_girl\":\"👨‍👧\",\"family_man_girl_boy\":\"👨‍👧‍👦\",\"family_man_girl_girl\":\"👨‍👧‍👧\",\"family_woman_boy\":\"👩‍👦\",\"family_woman_boy_boy\":\"👩‍👦‍👦\",\"family_woman_girl\":\"👩‍👧\",\"family_woman_girl_boy\":\"👩‍👧‍👦\",\"family_woman_girl_girl\":\"👩‍👧‍👧\",\"speaking_head\":\"🗣️\",\"bust_in_silhouette\":\"👤\",\"busts_in_silhouette\":\"👥\",\"people_hugging\":\"🫂\",\"footprints\":\"👣\",\"monkey_face\":\"🐵\",\"monkey\":\"🐒\",\"gorilla\":\"🦍\",\"orangutan\":\"🦧\",\"dog\":\"🐶\",\"dog2\":\"🐕\",\"guide_dog\":\"🦮\",\"service_dog\":\"🐕‍🦺\",\"poodle\":\"🐩\",\"wolf\":\"🐺\",\"fox_face\":\"🦊\",\"raccoon\":\"🦝\",\"cat\":\"🐱\",\"cat2\":\"🐈\",\"black_cat\":\"🐈‍⬛\",\"lion\":\"🦁\",\"tiger\":\"🐯\",\"tiger2\":\"🐅\",\"leopard\":\"🐆\",\"horse\":\"🐴\",\"racehorse\":\"🐎\",\"unicorn\":\"🦄\",\"zebra\":\"🦓\",\"deer\":\"🦌\",\"bison\":\"🦬\",\"cow\":\"🐮\",\"ox\":\"🐂\",\"water_buffalo\":\"🐃\",\"cow2\":\"🐄\",\"pig\":\"🐷\",\"pig2\":\"🐖\",\"boar\":\"🐗\",\"pig_nose\":\"🐽\",\"ram\":\"🐏\",\"sheep\":\"🐑\",\"goat\":\"🐐\",\"dromedary_camel\":\"🐪\",\"camel\":\"🐫\",\"llama\":\"🦙\",\"giraffe\":\"🦒\",\"elephant\":\"🐘\",\"mammoth\":\"🦣\",\"rhinoceros\":\"🦏\",\"hippopotamus\":\"🦛\",\"mouse\":\"🐭\",\"mouse2\":\"🐁\",\"rat\":\"🐀\",\"hamster\":\"🐹\",\"rabbit\":\"🐰\",\"rabbit2\":\"🐇\",\"chipmunk\":\"🐿️\",\"beaver\":\"🦫\",\"hedgehog\":\"🦔\",\"bat\":\"🦇\",\"bear\":\"🐻\",\"polar_bear\":\"🐻‍❄️\",\"koala\":\"🐨\",\"panda_face\":\"🐼\",\"sloth\":\"🦥\",\"otter\":\"🦦\",\"skunk\":\"🦨\",\"kangaroo\":\"🦘\",\"badger\":\"🦡\",\"feet\":\"🐾\",\"paw_prints\":\"🐾\",\"turkey\":\"🦃\",\"chicken\":\"🐔\",\"rooster\":\"🐓\",\"hatching_chick\":\"🐣\",\"baby_chick\":\"🐤\",\"hatched_chick\":\"🐥\",\"bird\":\"🐦\",\"penguin\":\"🐧\",\"dove\":\"🕊️\",\"eagle\":\"🦅\",\"duck\":\"🦆\",\"swan\":\"🦢\",\"owl\":\"🦉\",\"dodo\":\"🦤\",\"feather\":\"🪶\",\"flamingo\":\"🦩\",\"peacock\":\"🦚\",\"parrot\":\"🦜\",\"frog\":\"🐸\",\"crocodile\":\"🐊\",\"turtle\":\"🐢\",\"lizard\":\"🦎\",\"snake\":\"🐍\",\"dragon_face\":\"🐲\",\"dragon\":\"🐉\",\"sauropod\":\"🦕\",\"t-rex\":\"🦖\",\"whale\":\"🐳\",\"whale2\":\"🐋\",\"dolphin\":\"🐬\",\"flipper\":\"🐬\",\"seal\":\"🦭\",\"fish\":\"🐟\",\"tropical_fish\":\"🐠\",\"blowfish\":\"🐡\",\"shark\":\"🦈\",\"octopus\":\"🐙\",\"shell\":\"🐚\",\"snail\":\"🐌\",\"butterfly\":\"🦋\",\"bug\":\"🐛\",\"ant\":\"🐜\",\"bee\":\"🐝\",\"honeybee\":\"🐝\",\"beetle\":\"🪲\",\"lady_beetle\":\"🐞\",\"cricket\":\"🦗\",\"cockroach\":\"🪳\",\"spider\":\"🕷️\",\"spider_web\":\"🕸️\",\"scorpion\":\"🦂\",\"mosquito\":\"🦟\",\"fly\":\"🪰\",\"worm\":\"🪱\",\"microbe\":\"🦠\",\"bouquet\":\"💐\",\"cherry_blossom\":\"🌸\",\"white_flower\":\"💮\",\"rosette\":\"🏵️\",\"rose\":\"🌹\",\"wilted_flower\":\"🥀\",\"hibiscus\":\"🌺\",\"sunflower\":\"🌻\",\"blossom\":\"🌼\",\"tulip\":\"🌷\",\"seedling\":\"🌱\",\"potted_plant\":\"🪴\",\"evergreen_tree\":\"🌲\",\"deciduous_tree\":\"🌳\",\"palm_tree\":\"🌴\",\"cactus\":\"🌵\",\"ear_of_rice\":\"🌾\",\"herb\":\"🌿\",\"shamrock\":\"☘️\",\"four_leaf_clover\":\"🍀\",\"maple_leaf\":\"🍁\",\"fallen_leaf\":\"🍂\",\"leaves\":\"🍃\",\"grapes\":\"🍇\",\"melon\":\"🍈\",\"watermelon\":\"🍉\",\"tangerine\":\"🍊\",\"orange\":\"🍊\",\"mandarin\":\"🍊\",\"lemon\":\"🍋\",\"banana\":\"🍌\",\"pineapple\":\"🍍\",\"mango\":\"🥭\",\"apple\":\"🍎\",\"green_apple\":\"🍏\",\"pear\":\"🍐\",\"peach\":\"🍑\",\"cherries\":\"🍒\",\"strawberry\":\"🍓\",\"blueberries\":\"🫐\",\"kiwi_fruit\":\"🥝\",\"tomato\":\"🍅\",\"olive\":\"🫒\",\"coconut\":\"🥥\",\"avocado\":\"🥑\",\"eggplant\":\"🍆\",\"potato\":\"🥔\",\"carrot\":\"🥕\",\"corn\":\"🌽\",\"hot_pepper\":\"🌶️\",\"bell_pepper\":\"🫑\",\"cucumber\":\"🥒\",\"leafy_green\":\"🥬\",\"broccoli\":\"🥦\",\"garlic\":\"🧄\",\"onion\":\"🧅\",\"mushroom\":\"🍄\",\"peanuts\":\"🥜\",\"chestnut\":\"🌰\",\"bread\":\"🍞\",\"croissant\":\"🥐\",\"baguette_bread\":\"🥖\",\"flatbread\":\"🫓\",\"pretzel\":\"🥨\",\"bagel\":\"🥯\",\"pancakes\":\"🥞\",\"waffle\":\"🧇\",\"cheese\":\"🧀\",\"meat_on_bone\":\"🍖\",\"poultry_leg\":\"🍗\",\"cut_of_meat\":\"🥩\",\"bacon\":\"🥓\",\"hamburger\":\"🍔\",\"fries\":\"🍟\",\"pizza\":\"🍕\",\"hotdog\":\"🌭\",\"sandwich\":\"🥪\",\"taco\":\"🌮\",\"burrito\":\"🌯\",\"tamale\":\"🫔\",\"stuffed_flatbread\":\"🥙\",\"falafel\":\"🧆\",\"egg\":\"🥚\",\"fried_egg\":\"🍳\",\"shallow_pan_of_food\":\"🥘\",\"stew\":\"🍲\",\"fondue\":\"🫕\",\"bowl_with_spoon\":\"🥣\",\"green_salad\":\"🥗\",\"popcorn\":\"🍿\",\"butter\":\"🧈\",\"salt\":\"🧂\",\"canned_food\":\"🥫\",\"bento\":\"🍱\",\"rice_cracker\":\"🍘\",\"rice_ball\":\"🍙\",\"rice\":\"🍚\",\"curry\":\"🍛\",\"ramen\":\"🍜\",\"spaghetti\":\"🍝\",\"sweet_potato\":\"🍠\",\"oden\":\"🍢\",\"sushi\":\"🍣\",\"fried_shrimp\":\"🍤\",\"fish_cake\":\"🍥\",\"moon_cake\":\"🥮\",\"dango\":\"🍡\",\"dumpling\":\"🥟\",\"fortune_cookie\":\"🥠\",\"takeout_box\":\"🥡\",\"crab\":\"🦀\",\"lobster\":\"🦞\",\"shrimp\":\"🦐\",\"squid\":\"🦑\",\"oyster\":\"🦪\",\"icecream\":\"🍦\",\"shaved_ice\":\"🍧\",\"ice_cream\":\"🍨\",\"doughnut\":\"🍩\",\"cookie\":\"🍪\",\"birthday\":\"🎂\",\"cake\":\"🍰\",\"cupcake\":\"🧁\",\"pie\":\"🥧\",\"chocolate_bar\":\"🍫\",\"candy\":\"🍬\",\"lollipop\":\"🍭\",\"custard\":\"🍮\",\"honey_pot\":\"🍯\",\"baby_bottle\":\"🍼\",\"milk_glass\":\"🥛\",\"coffee\":\"☕\",\"teapot\":\"🫖\",\"tea\":\"🍵\",\"sake\":\"🍶\",\"champagne\":\"🍾\",\"wine_glass\":\"🍷\",\"cocktail\":\"🍸\",\"tropical_drink\":\"🍹\",\"beer\":\"🍺\",\"beers\":\"🍻\",\"clinking_glasses\":\"🥂\",\"tumbler_glass\":\"🥃\",\"cup_with_straw\":\"🥤\",\"bubble_tea\":\"🧋\",\"beverage_box\":\"🧃\",\"mate\":\"🧉\",\"ice_cube\":\"🧊\",\"chopsticks\":\"🥢\",\"plate_with_cutlery\":\"🍽️\",\"fork_and_knife\":\"🍴\",\"spoon\":\"🥄\",\"hocho\":\"🔪\",\"knife\":\"🔪\",\"amphora\":\"🏺\",\"earth_africa\":\"🌍\",\"earth_americas\":\"🌎\",\"earth_asia\":\"🌏\",\"globe_with_meridians\":\"🌐\",\"world_map\":\"🗺️\",\"japan\":\"🗾\",\"compass\":\"🧭\",\"mountain_snow\":\"🏔️\",\"mountain\":\"⛰️\",\"volcano\":\"🌋\",\"mount_fuji\":\"🗻\",\"camping\":\"🏕️\",\"beach_umbrella\":\"🏖️\",\"desert\":\"🏜️\",\"desert_island\":\"🏝️\",\"national_park\":\"🏞️\",\"stadium\":\"🏟️\",\"classical_building\":\"🏛️\",\"building_construction\":\"🏗️\",\"bricks\":\"🧱\",\"rock\":\"🪨\",\"wood\":\"🪵\",\"hut\":\"🛖\",\"houses\":\"🏘️\",\"derelict_house\":\"🏚️\",\"house\":\"🏠\",\"house_with_garden\":\"🏡\",\"office\":\"🏢\",\"post_office\":\"🏣\",\"european_post_office\":\"🏤\",\"hospital\":\"🏥\",\"bank\":\"🏦\",\"hotel\":\"🏨\",\"love_hotel\":\"🏩\",\"convenience_store\":\"🏪\",\"school\":\"🏫\",\"department_store\":\"🏬\",\"factory\":\"🏭\",\"japanese_castle\":\"🏯\",\"european_castle\":\"🏰\",\"wedding\":\"💒\",\"tokyo_tower\":\"🗼\",\"statue_of_liberty\":\"🗽\",\"church\":\"⛪\",\"mosque\":\"🕌\",\"hindu_temple\":\"🛕\",\"synagogue\":\"🕍\",\"shinto_shrine\":\"⛩️\",\"kaaba\":\"🕋\",\"fountain\":\"⛲\",\"tent\":\"⛺\",\"foggy\":\"🌁\",\"night_with_stars\":\"🌃\",\"cityscape\":\"🏙️\",\"sunrise_over_mountains\":\"🌄\",\"sunrise\":\"🌅\",\"city_sunset\":\"🌆\",\"city_sunrise\":\"🌇\",\"bridge_at_night\":\"🌉\",\"hotsprings\":\"♨️\",\"carousel_horse\":\"🎠\",\"ferris_wheel\":\"🎡\",\"roller_coaster\":\"🎢\",\"barber\":\"💈\",\"circus_tent\":\"🎪\",\"steam_locomotive\":\"🚂\",\"railway_car\":\"🚃\",\"bullettrain_side\":\"🚄\",\"bullettrain_front\":\"🚅\",\"train2\":\"🚆\",\"metro\":\"🚇\",\"light_rail\":\"🚈\",\"station\":\"🚉\",\"tram\":\"🚊\",\"monorail\":\"🚝\",\"mountain_railway\":\"🚞\",\"train\":\"🚋\",\"bus\":\"🚌\",\"oncoming_bus\":\"🚍\",\"trolleybus\":\"🚎\",\"minibus\":\"🚐\",\"ambulance\":\"🚑\",\"fire_engine\":\"🚒\",\"police_car\":\"🚓\",\"oncoming_police_car\":\"🚔\",\"taxi\":\"🚕\",\"oncoming_taxi\":\"🚖\",\"car\":\"🚗\",\"red_car\":\"🚗\",\"oncoming_automobile\":\"🚘\",\"blue_car\":\"🚙\",\"pickup_truck\":\"🛻\",\"truck\":\"🚚\",\"articulated_lorry\":\"🚛\",\"tractor\":\"🚜\",\"racing_car\":\"🏎️\",\"motorcycle\":\"🏍️\",\"motor_scooter\":\"🛵\",\"manual_wheelchair\":\"🦽\",\"motorized_wheelchair\":\"🦼\",\"auto_rickshaw\":\"🛺\",\"bike\":\"🚲\",\"kick_scooter\":\"🛴\",\"skateboard\":\"🛹\",\"roller_skate\":\"🛼\",\"busstop\":\"🚏\",\"motorway\":\"🛣️\",\"railway_track\":\"🛤️\",\"oil_drum\":\"🛢️\",\"fuelpump\":\"⛽\",\"rotating_light\":\"🚨\",\"traffic_light\":\"🚥\",\"vertical_traffic_light\":\"🚦\",\"stop_sign\":\"🛑\",\"construction\":\"🚧\",\"anchor\":\"⚓\",\"boat\":\"⛵\",\"sailboat\":\"⛵\",\"canoe\":\"🛶\",\"speedboat\":\"🚤\",\"passenger_ship\":\"🛳️\",\"ferry\":\"⛴️\",\"motor_boat\":\"🛥️\",\"ship\":\"🚢\",\"airplane\":\"✈️\",\"small_airplane\":\"🛩️\",\"flight_departure\":\"🛫\",\"flight_arrival\":\"🛬\",\"parachute\":\"🪂\",\"seat\":\"💺\",\"helicopter\":\"🚁\",\"suspension_railway\":\"🚟\",\"mountain_cableway\":\"🚠\",\"aerial_tramway\":\"🚡\",\"artificial_satellite\":\"🛰️\",\"rocket\":\"🚀\",\"flying_saucer\":\"🛸\",\"bellhop_bell\":\"🛎️\",\"luggage\":\"🧳\",\"hourglass\":\"⌛\",\"hourglass_flowing_sand\":\"⏳\",\"watch\":\"⌚\",\"alarm_clock\":\"⏰\",\"stopwatch\":\"⏱️\",\"timer_clock\":\"⏲️\",\"mantelpiece_clock\":\"🕰️\",\"clock12\":\"🕛\",\"clock1230\":\"🕧\",\"clock1\":\"🕐\",\"clock130\":\"🕜\",\"clock2\":\"🕑\",\"clock230\":\"🕝\",\"clock3\":\"🕒\",\"clock330\":\"🕞\",\"clock4\":\"🕓\",\"clock430\":\"🕟\",\"clock5\":\"🕔\",\"clock530\":\"🕠\",\"clock6\":\"🕕\",\"clock630\":\"🕡\",\"clock7\":\"🕖\",\"clock730\":\"🕢\",\"clock8\":\"🕗\",\"clock830\":\"🕣\",\"clock9\":\"🕘\",\"clock930\":\"🕤\",\"clock10\":\"🕙\",\"clock1030\":\"🕥\",\"clock11\":\"🕚\",\"clock1130\":\"🕦\",\"new_moon\":\"🌑\",\"waxing_crescent_moon\":\"🌒\",\"first_quarter_moon\":\"🌓\",\"moon\":\"🌔\",\"waxing_gibbous_moon\":\"🌔\",\"full_moon\":\"🌕\",\"waning_gibbous_moon\":\"🌖\",\"last_quarter_moon\":\"🌗\",\"waning_crescent_moon\":\"🌘\",\"crescent_moon\":\"🌙\",\"new_moon_with_face\":\"🌚\",\"first_quarter_moon_with_face\":\"🌛\",\"last_quarter_moon_with_face\":\"🌜\",\"thermometer\":\"🌡️\",\"sunny\":\"☀️\",\"full_moon_with_face\":\"🌝\",\"sun_with_face\":\"🌞\",\"ringed_planet\":\"🪐\",\"star\":\"⭐\",\"star2\":\"🌟\",\"stars\":\"🌠\",\"milky_way\":\"🌌\",\"cloud\":\"☁️\",\"partly_sunny\":\"⛅\",\"cloud_with_lightning_and_rain\":\"⛈️\",\"sun_behind_small_cloud\":\"🌤️\",\"sun_behind_large_cloud\":\"🌥️\",\"sun_behind_rain_cloud\":\"🌦️\",\"cloud_with_rain\":\"🌧️\",\"cloud_with_snow\":\"🌨️\",\"cloud_with_lightning\":\"🌩️\",\"tornado\":\"🌪️\",\"fog\":\"🌫️\",\"wind_face\":\"🌬️\",\"cyclone\":\"🌀\",\"rainbow\":\"🌈\",\"closed_umbrella\":\"🌂\",\"open_umbrella\":\"☂️\",\"umbrella\":\"☔\",\"parasol_on_ground\":\"⛱️\",\"zap\":\"⚡\",\"snowflake\":\"❄️\",\"snowman_with_snow\":\"☃️\",\"snowman\":\"⛄\",\"comet\":\"☄️\",\"fire\":\"🔥\",\"droplet\":\"💧\",\"ocean\":\"🌊\",\"jack_o_lantern\":\"🎃\",\"christmas_tree\":\"🎄\",\"fireworks\":\"🎆\",\"sparkler\":\"🎇\",\"firecracker\":\"🧨\",\"sparkles\":\"✨\",\"balloon\":\"🎈\",\"tada\":\"🎉\",\"confetti_ball\":\"🎊\",\"tanabata_tree\":\"🎋\",\"bamboo\":\"🎍\",\"dolls\":\"🎎\",\"flags\":\"🎏\",\"wind_chime\":\"🎐\",\"rice_scene\":\"🎑\",\"red_envelope\":\"🧧\",\"ribbon\":\"🎀\",\"gift\":\"🎁\",\"reminder_ribbon\":\"🎗️\",\"tickets\":\"🎟️\",\"ticket\":\"🎫\",\"medal_military\":\"🎖️\",\"trophy\":\"🏆\",\"medal_sports\":\"🏅\",\"1st_place_medal\":\"🥇\",\"2nd_place_medal\":\"🥈\",\"3rd_place_medal\":\"🥉\",\"soccer\":\"⚽\",\"baseball\":\"⚾\",\"softball\":\"🥎\",\"basketball\":\"🏀\",\"volleyball\":\"🏐\",\"football\":\"🏈\",\"rugby_football\":\"🏉\",\"tennis\":\"🎾\",\"flying_disc\":\"🥏\",\"bowling\":\"🎳\",\"cricket_game\":\"🏏\",\"field_hockey\":\"🏑\",\"ice_hockey\":\"🏒\",\"lacrosse\":\"🥍\",\"ping_pong\":\"🏓\",\"badminton\":\"🏸\",\"boxing_glove\":\"🥊\",\"martial_arts_uniform\":\"🥋\",\"goal_net\":\"🥅\",\"golf\":\"⛳\",\"ice_skate\":\"⛸️\",\"fishing_pole_and_fish\":\"🎣\",\"diving_mask\":\"🤿\",\"running_shirt_with_sash\":\"🎽\",\"ski\":\"🎿\",\"sled\":\"🛷\",\"curling_stone\":\"🥌\",\"dart\":\"🎯\",\"yo_yo\":\"🪀\",\"kite\":\"🪁\",\"8ball\":\"🎱\",\"crystal_ball\":\"🔮\",\"magic_wand\":\"🪄\",\"nazar_amulet\":\"🧿\",\"video_game\":\"🎮\",\"joystick\":\"🕹️\",\"slot_machine\":\"🎰\",\"game_die\":\"🎲\",\"jigsaw\":\"🧩\",\"teddy_bear\":\"🧸\",\"pinata\":\"🪅\",\"nesting_dolls\":\"🪆\",\"spades\":\"♠️\",\"hearts\":\"♥️\",\"diamonds\":\"♦️\",\"clubs\":\"♣️\",\"chess_pawn\":\"♟️\",\"black_joker\":\"🃏\",\"mahjong\":\"🀄\",\"flower_playing_cards\":\"🎴\",\"performing_arts\":\"🎭\",\"framed_picture\":\"🖼️\",\"art\":\"🎨\",\"thread\":\"🧵\",\"sewing_needle\":\"🪡\",\"yarn\":\"🧶\",\"knot\":\"🪢\",\"eyeglasses\":\"👓\",\"dark_sunglasses\":\"🕶️\",\"goggles\":\"🥽\",\"lab_coat\":\"🥼\",\"safety_vest\":\"🦺\",\"necktie\":\"👔\",\"shirt\":\"👕\",\"tshirt\":\"👕\",\"jeans\":\"👖\",\"scarf\":\"🧣\",\"gloves\":\"🧤\",\"coat\":\"🧥\",\"socks\":\"🧦\",\"dress\":\"👗\",\"kimono\":\"👘\",\"sari\":\"🥻\",\"one_piece_swimsuit\":\"🩱\",\"swim_brief\":\"🩲\",\"shorts\":\"🩳\",\"bikini\":\"👙\",\"womans_clothes\":\"👚\",\"purse\":\"👛\",\"handbag\":\"👜\",\"pouch\":\"👝\",\"shopping\":\"🛍️\",\"school_satchel\":\"🎒\",\"thong_sandal\":\"🩴\",\"mans_shoe\":\"👞\",\"shoe\":\"👞\",\"athletic_shoe\":\"👟\",\"hiking_boot\":\"🥾\",\"flat_shoe\":\"🥿\",\"high_heel\":\"👠\",\"sandal\":\"👡\",\"ballet_shoes\":\"🩰\",\"boot\":\"👢\",\"crown\":\"👑\",\"womans_hat\":\"👒\",\"tophat\":\"🎩\",\"mortar_board\":\"🎓\",\"billed_cap\":\"🧢\",\"military_helmet\":\"🪖\",\"rescue_worker_helmet\":\"⛑️\",\"prayer_beads\":\"📿\",\"lipstick\":\"💄\",\"ring\":\"💍\",\"gem\":\"💎\",\"mute\":\"🔇\",\"speaker\":\"🔈\",\"sound\":\"🔉\",\"loud_sound\":\"🔊\",\"loudspeaker\":\"📢\",\"mega\":\"📣\",\"postal_horn\":\"📯\",\"bell\":\"🔔\",\"no_bell\":\"🔕\",\"musical_score\":\"🎼\",\"musical_note\":\"🎵\",\"notes\":\"🎶\",\"studio_microphone\":\"🎙️\",\"level_slider\":\"🎚️\",\"control_knobs\":\"🎛️\",\"microphone\":\"🎤\",\"headphones\":\"🎧\",\"radio\":\"📻\",\"saxophone\":\"🎷\",\"accordion\":\"🪗\",\"guitar\":\"🎸\",\"musical_keyboard\":\"🎹\",\"trumpet\":\"🎺\",\"violin\":\"🎻\",\"banjo\":\"🪕\",\"drum\":\"🥁\",\"long_drum\":\"🪘\",\"iphone\":\"📱\",\"calling\":\"📲\",\"phone\":\"☎️\",\"telephone\":\"☎️\",\"telephone_receiver\":\"📞\",\"pager\":\"📟\",\"fax\":\"📠\",\"battery\":\"🔋\",\"electric_plug\":\"🔌\",\"computer\":\"💻\",\"desktop_computer\":\"🖥️\",\"printer\":\"🖨️\",\"keyboard\":\"⌨️\",\"computer_mouse\":\"🖱️\",\"trackball\":\"🖲️\",\"minidisc\":\"💽\",\"floppy_disk\":\"💾\",\"cd\":\"💿\",\"dvd\":\"📀\",\"abacus\":\"🧮\",\"movie_camera\":\"🎥\",\"film_strip\":\"🎞️\",\"film_projector\":\"📽️\",\"clapper\":\"🎬\",\"tv\":\"📺\",\"camera\":\"📷\",\"camera_flash\":\"📸\",\"video_camera\":\"📹\",\"vhs\":\"📼\",\"mag\":\"🔍\",\"mag_right\":\"🔎\",\"candle\":\"🕯️\",\"bulb\":\"💡\",\"flashlight\":\"🔦\",\"izakaya_lantern\":\"🏮\",\"lantern\":\"🏮\",\"diya_lamp\":\"🪔\",\"notebook_with_decorative_cover\":\"📔\",\"closed_book\":\"📕\",\"book\":\"📖\",\"open_book\":\"📖\",\"green_book\":\"📗\",\"blue_book\":\"📘\",\"orange_book\":\"📙\",\"books\":\"📚\",\"notebook\":\"📓\",\"ledger\":\"📒\",\"page_with_curl\":\"📃\",\"scroll\":\"📜\",\"page_facing_up\":\"📄\",\"newspaper\":\"📰\",\"newspaper_roll\":\"🗞️\",\"bookmark_tabs\":\"📑\",\"bookmark\":\"🔖\",\"label\":\"🏷️\",\"moneybag\":\"💰\",\"coin\":\"🪙\",\"yen\":\"💴\",\"dollar\":\"💵\",\"euro\":\"💶\",\"pound\":\"💷\",\"money_with_wings\":\"💸\",\"credit_card\":\"💳\",\"receipt\":\"🧾\",\"chart\":\"💹\",\"envelope\":\"✉️\",\"email\":\"📧\",\"e-mail\":\"📧\",\"incoming_envelope\":\"📨\",\"envelope_with_arrow\":\"📩\",\"outbox_tray\":\"📤\",\"inbox_tray\":\"📥\",\"package\":\"📦\",\"mailbox\":\"📫\",\"mailbox_closed\":\"📪\",\"mailbox_with_mail\":\"📬\",\"mailbox_with_no_mail\":\"📭\",\"postbox\":\"📮\",\"ballot_box\":\"🗳️\",\"pencil2\":\"✏️\",\"black_nib\":\"✒️\",\"fountain_pen\":\"🖋️\",\"pen\":\"🖊️\",\"paintbrush\":\"🖌️\",\"crayon\":\"🖍️\",\"memo\":\"📝\",\"pencil\":\"📝\",\"briefcase\":\"💼\",\"file_folder\":\"📁\",\"open_file_folder\":\"📂\",\"card_index_dividers\":\"🗂️\",\"date\":\"📅\",\"calendar\":\"📆\",\"spiral_notepad\":\"🗒️\",\"spiral_calendar\":\"🗓️\",\"card_index\":\"📇\",\"chart_with_upwards_trend\":\"📈\",\"chart_with_downwards_trend\":\"📉\",\"bar_chart\":\"📊\",\"clipboard\":\"📋\",\"pushpin\":\"📌\",\"round_pushpin\":\"📍\",\"paperclip\":\"📎\",\"paperclips\":\"🖇️\",\"straight_ruler\":\"📏\",\"triangular_ruler\":\"📐\",\"scissors\":\"✂️\",\"card_file_box\":\"🗃️\",\"file_cabinet\":\"🗄️\",\"wastebasket\":\"🗑️\",\"lock\":\"🔒\",\"unlock\":\"🔓\",\"lock_with_ink_pen\":\"🔏\",\"closed_lock_with_key\":\"🔐\",\"key\":\"🔑\",\"old_key\":\"🗝️\",\"hammer\":\"🔨\",\"axe\":\"🪓\",\"pick\":\"⛏️\",\"hammer_and_pick\":\"⚒️\",\"hammer_and_wrench\":\"🛠️\",\"dagger\":\"🗡️\",\"crossed_swords\":\"⚔️\",\"gun\":\"🔫\",\"boomerang\":\"🪃\",\"bow_and_arrow\":\"🏹\",\"shield\":\"🛡️\",\"carpentry_saw\":\"🪚\",\"wrench\":\"🔧\",\"screwdriver\":\"🪛\",\"nut_and_bolt\":\"🔩\",\"gear\":\"⚙️\",\"clamp\":\"🗜️\",\"balance_scale\":\"⚖️\",\"probing_cane\":\"🦯\",\"link\":\"🔗\",\"chains\":\"⛓️\",\"hook\":\"🪝\",\"toolbox\":\"🧰\",\"magnet\":\"🧲\",\"ladder\":\"🪜\",\"alembic\":\"⚗️\",\"test_tube\":\"🧪\",\"petri_dish\":\"🧫\",\"dna\":\"🧬\",\"microscope\":\"🔬\",\"telescope\":\"🔭\",\"satellite\":\"📡\",\"syringe\":\"💉\",\"drop_of_blood\":\"🩸\",\"pill\":\"💊\",\"adhesive_bandage\":\"🩹\",\"stethoscope\":\"🩺\",\"door\":\"🚪\",\"elevator\":\"🛗\",\"mirror\":\"🪞\",\"window\":\"🪟\",\"bed\":\"🛏️\",\"couch_and_lamp\":\"🛋️\",\"chair\":\"🪑\",\"toilet\":\"🚽\",\"plunger\":\"🪠\",\"shower\":\"🚿\",\"bathtub\":\"🛁\",\"mouse_trap\":\"🪤\",\"razor\":\"🪒\",\"lotion_bottle\":\"🧴\",\"safety_pin\":\"🧷\",\"broom\":\"🧹\",\"basket\":\"🧺\",\"roll_of_paper\":\"🧻\",\"bucket\":\"🪣\",\"soap\":\"🧼\",\"toothbrush\":\"🪥\",\"sponge\":\"🧽\",\"fire_extinguisher\":\"🧯\",\"shopping_cart\":\"🛒\",\"smoking\":\"🚬\",\"coffin\":\"⚰️\",\"headstone\":\"🪦\",\"funeral_urn\":\"⚱️\",\"moyai\":\"🗿\",\"placard\":\"🪧\",\"atm\":\"🏧\",\"put_litter_in_its_place\":\"🚮\",\"potable_water\":\"🚰\",\"wheelchair\":\"♿\",\"mens\":\"🚹\",\"womens\":\"🚺\",\"restroom\":\"🚻\",\"baby_symbol\":\"🚼\",\"wc\":\"🚾\",\"passport_control\":\"🛂\",\"customs\":\"🛃\",\"baggage_claim\":\"🛄\",\"left_luggage\":\"🛅\",\"warning\":\"⚠️\",\"children_crossing\":\"🚸\",\"no_entry\":\"⛔\",\"no_entry_sign\":\"🚫\",\"no_bicycles\":\"🚳\",\"no_smoking\":\"🚭\",\"do_not_litter\":\"🚯\",\"non-potable_water\":\"🚱\",\"no_pedestrians\":\"🚷\",\"no_mobile_phones\":\"📵\",\"underage\":\"🔞\",\"radioactive\":\"☢️\",\"biohazard\":\"☣️\",\"arrow_up\":\"⬆️\",\"arrow_upper_right\":\"↗️\",\"arrow_right\":\"➡️\",\"arrow_lower_right\":\"↘️\",\"arrow_down\":\"⬇️\",\"arrow_lower_left\":\"↙️\",\"arrow_left\":\"⬅️\",\"arrow_upper_left\":\"↖️\",\"arrow_up_down\":\"↕️\",\"left_right_arrow\":\"↔️\",\"leftwards_arrow_with_hook\":\"↩️\",\"arrow_right_hook\":\"↪️\",\"arrow_heading_up\":\"⤴️\",\"arrow_heading_down\":\"⤵️\",\"arrows_clockwise\":\"🔃\",\"arrows_counterclockwise\":\"🔄\",\"back\":\"🔙\",\"end\":\"🔚\",\"on\":\"🔛\",\"soon\":\"🔜\",\"top\":\"🔝\",\"place_of_worship\":\"🛐\",\"atom_symbol\":\"⚛️\",\"om\":\"🕉️\",\"star_of_david\":\"✡️\",\"wheel_of_dharma\":\"☸️\",\"yin_yang\":\"☯️\",\"latin_cross\":\"✝️\",\"orthodox_cross\":\"☦️\",\"star_and_crescent\":\"☪️\",\"peace_symbol\":\"☮️\",\"menorah\":\"🕎\",\"six_pointed_star\":\"🔯\",\"aries\":\"♈\",\"taurus\":\"♉\",\"gemini\":\"♊\",\"cancer\":\"♋\",\"leo\":\"♌\",\"virgo\":\"♍\",\"libra\":\"♎\",\"scorpius\":\"♏\",\"sagittarius\":\"♐\",\"capricorn\":\"♑\",\"aquarius\":\"♒\",\"pisces\":\"♓\",\"ophiuchus\":\"⛎\",\"twisted_rightwards_arrows\":\"🔀\",\"repeat\":\"🔁\",\"repeat_one\":\"🔂\",\"arrow_forward\":\"▶️\",\"fast_forward\":\"⏩\",\"next_track_button\":\"⏭️\",\"play_or_pause_button\":\"⏯️\",\"arrow_backward\":\"◀️\",\"rewind\":\"⏪\",\"previous_track_button\":\"⏮️\",\"arrow_up_small\":\"🔼\",\"arrow_double_up\":\"⏫\",\"arrow_down_small\":\"🔽\",\"arrow_double_down\":\"⏬\",\"pause_button\":\"⏸️\",\"stop_button\":\"⏹️\",\"record_button\":\"⏺️\",\"eject_button\":\"⏏️\",\"cinema\":\"🎦\",\"low_brightness\":\"🔅\",\"high_brightness\":\"🔆\",\"signal_strength\":\"📶\",\"vibration_mode\":\"📳\",\"mobile_phone_off\":\"📴\",\"female_sign\":\"♀️\",\"male_sign\":\"♂️\",\"transgender_symbol\":\"⚧️\",\"heavy_multiplication_x\":\"✖️\",\"heavy_plus_sign\":\"➕\",\"heavy_minus_sign\":\"➖\",\"heavy_division_sign\":\"➗\",\"infinity\":\"♾️\",\"bangbang\":\"‼️\",\"interrobang\":\"⁉️\",\"question\":\"❓\",\"grey_question\":\"❔\",\"grey_exclamation\":\"❕\",\"exclamation\":\"❗\",\"heavy_exclamation_mark\":\"❗\",\"wavy_dash\":\"〰️\",\"currency_exchange\":\"💱\",\"heavy_dollar_sign\":\"💲\",\"medical_symbol\":\"⚕️\",\"recycle\":\"♻️\",\"fleur_de_lis\":\"⚜️\",\"trident\":\"🔱\",\"name_badge\":\"📛\",\"beginner\":\"🔰\",\"o\":\"⭕\",\"white_check_mark\":\"✅\",\"ballot_box_with_check\":\"☑️\",\"heavy_check_mark\":\"✔️\",\"x\":\"❌\",\"negative_squared_cross_mark\":\"❎\",\"curly_loop\":\"➰\",\"loop\":\"➿\",\"part_alternation_mark\":\"〽️\",\"eight_spoked_asterisk\":\"✳️\",\"eight_pointed_black_star\":\"✴️\",\"sparkle\":\"❇️\",\"copyright\":\"©️\",\"registered\":\"®️\",\"tm\":\"™️\",\"hash\":\"#️⃣\",\"asterisk\":\"*️⃣\",\"zero\":\"0️⃣\",\"one\":\"1️⃣\",\"two\":\"2️⃣\",\"three\":\"3️⃣\",\"four\":\"4️⃣\",\"five\":\"5️⃣\",\"six\":\"6️⃣\",\"seven\":\"7️⃣\",\"eight\":\"8️⃣\",\"nine\":\"9️⃣\",\"keycap_ten\":\"🔟\",\"capital_abcd\":\"🔠\",\"abcd\":\"🔡\",\"symbols\":\"🔣\",\"abc\":\"🔤\",\"a\":\"🅰️\",\"ab\":\"🆎\",\"b\":\"🅱️\",\"cl\":\"🆑\",\"cool\":\"🆒\",\"free\":\"🆓\",\"information_source\":\"ℹ️\",\"id\":\"🆔\",\"m\":\"Ⓜ️\",\"new\":\"🆕\",\"ng\":\"🆖\",\"o2\":\"🅾️\",\"ok\":\"🆗\",\"parking\":\"🅿️\",\"sos\":\"🆘\",\"up\":\"🆙\",\"vs\":\"🆚\",\"koko\":\"🈁\",\"sa\":\"🈂️\",\"ideograph_advantage\":\"🉐\",\"accept\":\"🉑\",\"congratulations\":\"㊗️\",\"secret\":\"㊙️\",\"u6e80\":\"🈵\",\"red_circle\":\"🔴\",\"orange_circle\":\"🟠\",\"yellow_circle\":\"🟡\",\"green_circle\":\"🟢\",\"large_blue_circle\":\"🔵\",\"purple_circle\":\"🟣\",\"brown_circle\":\"🟤\",\"black_circle\":\"⚫\",\"white_circle\":\"⚪\",\"red_square\":\"🟥\",\"orange_square\":\"🟧\",\"yellow_square\":\"🟨\",\"green_square\":\"🟩\",\"blue_square\":\"🟦\",\"purple_square\":\"🟪\",\"brown_square\":\"🟫\",\"black_large_square\":\"⬛\",\"white_large_square\":\"⬜\",\"black_medium_square\":\"◼️\",\"white_medium_square\":\"◻️\",\"black_medium_small_square\":\"◾\",\"white_medium_small_square\":\"◽\",\"black_small_square\":\"▪️\",\"white_small_square\":\"▫️\",\"large_orange_diamond\":\"🔶\",\"large_blue_diamond\":\"🔷\",\"small_orange_diamond\":\"🔸\",\"small_blue_diamond\":\"🔹\",\"small_red_triangle\":\"🔺\",\"small_red_triangle_down\":\"🔻\",\"diamond_shape_with_a_dot_inside\":\"💠\",\"radio_button\":\"🔘\",\"white_square_button\":\"🔳\",\"black_square_button\":\"🔲\",\"checkered_flag\":\"🏁\",\"triangular_flag_on_post\":\"🚩\",\"crossed_flags\":\"🎌\",\"black_flag\":\"🏴\",\"white_flag\":\"🏳️\",\"rainbow_flag\":\"🏳️‍🌈\",\"transgender_flag\":\"🏳️‍⚧️\",\"pirate_flag\":\"🏴‍☠️\",\"ascension_island\":\"🇦🇨\",\"andorra\":\"🇦🇩\",\"united_arab_emirates\":\"🇦🇪\",\"afghanistan\":\"🇦🇫\",\"antigua_barbuda\":\"🇦🇬\",\"anguilla\":\"🇦🇮\",\"albania\":\"🇦🇱\",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-eval("/* provided dependency */ var process = __webpack_require__(/*! ./node_modules/process/browser.js */ \"./node_modules/process/browser.js\");\n/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\n// Currently in sync with Node.js lib/assert.js\n// https://github.com/nodejs/node/commit/2a51ae424a513ec9a6aa3466baa0cc1d55dd4f3b\n// Originally from narwhal.js (http://narwhaljs.org)\n// Copyright (c) 2009 Thomas Robinson <280north.com>\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the 'Software'), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN\n// ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION\n// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.\n\n\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\nfunction _typeof(obj) {\n  if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") {\n    _typeof = function _typeof(obj) {\n      return typeof obj;\n    };\n  } else {\n    _typeof = function _typeof(obj) {\n      return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n    };\n  }\n  return _typeof(obj);\n}\nfunction _classCallCheck(instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n}\nvar _require = __webpack_require__(/*! ./internal/errors */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/errors.js\"),\n  _require$codes = _require.codes,\n  ERR_AMBIGUOUS_ARGUMENT = _require$codes.ERR_AMBIGUOUS_ARGUMENT,\n  ERR_INVALID_ARG_TYPE = _require$codes.ERR_INVALID_ARG_TYPE,\n  ERR_INVALID_ARG_VALUE = _require$codes.ERR_INVALID_ARG_VALUE,\n  ERR_INVALID_RETURN_VALUE = _require$codes.ERR_INVALID_RETURN_VALUE,\n  ERR_MISSING_ARGS = _require$codes.ERR_MISSING_ARGS;\nvar AssertionError = __webpack_require__(/*! ./internal/assert/assertion_error */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/assert/assertion_error.js\");\nvar _require2 = __webpack_require__(/*! util/ */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/util/util.js\"),\n  inspect = _require2.inspect;\nvar _require$types = (__webpack_require__(/*! util/ */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/util/util.js\").types),\n  isPromise = _require$types.isPromise,\n  isRegExp = _require$types.isRegExp;\nvar objectAssign = Object.assign ? Object.assign : (__webpack_require__(/*! es6-object-assign */ \"./node_modules/es6-object-assign/index.js\").assign);\nvar objectIs = Object.is ? Object.is : __webpack_require__(/*! object-is */ \"./node_modules/object-is/index.js\");\nvar errorCache = new Map();\nvar isDeepEqual;\nvar isDeepStrictEqual;\nvar parseExpressionAt;\nvar findNodeAround;\nvar decoder;\nfunction lazyLoadComparison() {\n  var comparison = __webpack_require__(/*! ./internal/util/comparisons */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/util/comparisons.js\");\n  isDeepEqual = comparison.isDeepEqual;\n  isDeepStrictEqual = comparison.isDeepStrictEqual;\n} // Escape control characters but not \\n and \\t to keep the line breaks and\n// indentation intact.\n// eslint-disable-next-line no-control-regex\n\nvar escapeSequencesRegExp = /[\\x00-\\x08\\x0b\\x0c\\x0e-\\x1f]/g;\nvar meta = [\"\\\\u0000\", \"\\\\u0001\", \"\\\\u0002\", \"\\\\u0003\", \"\\\\u0004\", \"\\\\u0005\", \"\\\\u0006\", \"\\\\u0007\", '\\\\b', '', '', \"\\\\u000b\", '\\\\f', '', \"\\\\u000e\", \"\\\\u000f\", \"\\\\u0010\", \"\\\\u0011\", \"\\\\u0012\", \"\\\\u0013\", \"\\\\u0014\", \"\\\\u0015\", \"\\\\u0016\", \"\\\\u0017\", \"\\\\u0018\", \"\\\\u0019\", \"\\\\u001a\", \"\\\\u001b\", \"\\\\u001c\", \"\\\\u001d\", \"\\\\u001e\", \"\\\\u001f\"];\nvar escapeFn = function escapeFn(str) {\n  return meta[str.charCodeAt(0)];\n};\nvar warned = false; // The assert module provides functions that throw\n// AssertionError's when particular conditions are not met. The\n// assert module must conform to the following interface.\n\nvar assert = module.exports = ok;\nvar NO_EXCEPTION_SENTINEL = {}; // All of the following functions must throw an AssertionError\n// when a corresponding condition is not met, with a message that\n// may be undefined if not provided. All assertion methods provide\n// both the actual and expected values to the assertion error for\n// display purposes.\n\nfunction innerFail(obj) {\n  if (obj.message instanceof Error) throw obj.message;\n  throw new AssertionError(obj);\n}\nfunction fail(actual, expected, message, operator, stackStartFn) {\n  var argsLen = arguments.length;\n  var internalMessage;\n  if (argsLen === 0) {\n    internalMessage = 'Failed';\n  } else if (argsLen === 1) {\n    message = actual;\n    actual = undefined;\n  } else {\n    if (warned === false) {\n      warned = true;\n      var warn = process.emitWarning ? process.emitWarning : console.warn.bind(console);\n      warn('assert.fail() with more than one argument is deprecated. ' + 'Please use assert.strictEqual() instead or only pass a message.', 'DeprecationWarning', 'DEP0094');\n    }\n    if (argsLen === 2) operator = '!=';\n  }\n  if (message instanceof Error) throw message;\n  var errArgs = {\n    actual: actual,\n    expected: expected,\n    operator: operator === undefined ? 'fail' : operator,\n    stackStartFn: stackStartFn || fail\n  };\n  if (message !== undefined) {\n    errArgs.message = message;\n  }\n  var err = new AssertionError(errArgs);\n  if (internalMessage) {\n    err.message = internalMessage;\n    err.generatedMessage = true;\n  }\n  throw err;\n}\nassert.fail = fail; // The AssertionError is defined in internal/error.\n\nassert.AssertionError = AssertionError;\nfunction innerOk(fn, argLen, value, message) {\n  if (!value) {\n    var generatedMessage = false;\n    if (argLen === 0) {\n      generatedMessage = true;\n      message = 'No value argument passed to `assert.ok()`';\n    } else if (message instanceof Error) {\n      throw message;\n    }\n    var err = new AssertionError({\n      actual: value,\n      expected: true,\n      message: message,\n      operator: '==',\n      stackStartFn: fn\n    });\n    err.generatedMessage = generatedMessage;\n    throw err;\n  }\n} // Pure assertion tests whether a value is truthy, as determined\n// by !!value.\n\nfunction ok() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n  innerOk.apply(void 0, [ok, args.length].concat(args));\n}\nassert.ok = ok; // The equality assertion tests shallow, coercive equality with ==.\n\n/* eslint-disable no-restricted-properties */\n\nassert.equal = function equal(actual, expected, message) {\n  if (arguments.length < 2) {\n    throw new ERR_MISSING_ARGS('actual', 'expected');\n  } // eslint-disable-next-line eqeqeq\n\n  if (actual != expected) {\n    innerFail({\n      actual: actual,\n      expected: expected,\n      message: message,\n      operator: '==',\n      stackStartFn: equal\n    });\n  }\n}; // The non-equality assertion tests for whether two objects are not\n// equal with !=.\n\nassert.notEqual = function notEqual(actual, expected, message) {\n  if (arguments.length < 2) {\n    throw new ERR_MISSING_ARGS('actual', 'expected');\n  } // eslint-disable-next-line eqeqeq\n\n  if (actual == expected) {\n    innerFail({\n      actual: actual,\n      expected: expected,\n      message: message,\n      operator: '!=',\n      stackStartFn: notEqual\n    });\n  }\n}; // The equivalence assertion tests a deep equality relation.\n\nassert.deepEqual = function deepEqual(actual, expected, message) {\n  if (arguments.length < 2) {\n    throw new ERR_MISSING_ARGS('actual', 'expected');\n  }\n  if (isDeepEqual === undefined) lazyLoadComparison();\n  if (!isDeepEqual(actual, expected)) {\n    innerFail({\n      actual: actual,\n      expected: expected,\n      message: message,\n      operator: 'deepEqual',\n      stackStartFn: deepEqual\n    });\n  }\n}; // The non-equivalence assertion tests for any deep inequality.\n\nassert.notDeepEqual = function notDeepEqual(actual, expected, message) {\n  if (arguments.length < 2) {\n    throw new ERR_MISSING_ARGS('actual', 'expected');\n  }\n  if (isDeepEqual === undefined) lazyLoadComparison();\n  if (isDeepEqual(actual, expected)) {\n    innerFail({\n      actual: actual,\n      expected: expected,\n      message: message,\n      operator: 'notDeepEqual',\n      stackStartFn: notDeepEqual\n    });\n  }\n};\n/* eslint-enable */\n\nassert.deepStrictEqual = function deepStrictEqual(actual, expected, message) {\n  if (arguments.length < 2) {\n    throw new ERR_MISSING_ARGS('actual', 'expected');\n  }\n  if (isDeepEqual === undefined) lazyLoadComparison();\n  if (!isDeepStrictEqual(actual, expected)) {\n    innerFail({\n      actual: actual,\n      expected: expected,\n      message: message,\n      operator: 'deepStrictEqual',\n      stackStartFn: deepStrictEqual\n    });\n  }\n};\nassert.notDeepStrictEqual = notDeepStrictEqual;\nfunction notDeepStrictEqual(actual, expected, message) {\n  if (arguments.length < 2) {\n    throw new ERR_MISSING_ARGS('actual', 'expected');\n  }\n  if (isDeepEqual === undefined) lazyLoadComparison();\n  if (isDeepStrictEqual(actual, expected)) {\n    innerFail({\n      actual: actual,\n      expected: expected,\n      message: message,\n      operator: 'notDeepStrictEqual',\n      stackStartFn: notDeepStrictEqual\n    });\n  }\n}\nassert.strictEqual = function strictEqual(actual, expected, message) {\n  if (arguments.length < 2) {\n    throw new ERR_MISSING_ARGS('actual', 'expected');\n  }\n  if (!objectIs(actual, expected)) {\n    innerFail({\n      actual: actual,\n      expected: expected,\n      message: message,\n      operator: 'strictEqual',\n      stackStartFn: strictEqual\n    });\n  }\n};\nassert.notStrictEqual = function notStrictEqual(actual, expected, message) {\n  if (arguments.length < 2) {\n    throw new ERR_MISSING_ARGS('actual', 'expected');\n  }\n  if (objectIs(actual, expected)) {\n    innerFail({\n      actual: actual,\n      expected: expected,\n      message: message,\n      operator: 'notStrictEqual',\n      stackStartFn: notStrictEqual\n    });\n  }\n};\nvar Comparison = function Comparison(obj, keys, actual) {\n  var _this = this;\n  _classCallCheck(this, Comparison);\n  keys.forEach(function (key) {\n    if (key in obj) {\n      if (actual !== undefined && typeof actual[key] === 'string' && isRegExp(obj[key]) && obj[key].test(actual[key])) {\n        _this[key] = actual[key];\n      } else {\n        _this[key] = obj[key];\n      }\n    }\n  });\n};\nfunction compareExceptionKey(actual, expected, key, message, keys, fn) {\n  if (!(key in actual) || !isDeepStrictEqual(actual[key], expected[key])) {\n    if (!message) {\n      // Create placeholder objects to create a nice output.\n      var a = new Comparison(actual, keys);\n      var b = new Comparison(expected, keys, actual);\n      var err = new AssertionError({\n        actual: a,\n        expected: b,\n        operator: 'deepStrictEqual',\n        stackStartFn: fn\n      });\n      err.actual = actual;\n      err.expected = expected;\n      err.operator = fn.name;\n      throw err;\n    }\n    innerFail({\n      actual: actual,\n      expected: expected,\n      message: message,\n      operator: fn.name,\n      stackStartFn: fn\n    });\n  }\n}\nfunction expectedException(actual, expected, msg, fn) {\n  if (typeof expected !== 'function') {\n    if (isRegExp(expected)) return expected.test(actual); 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Do not accept thenables that use a function as `obj` and that have no\n  // `catch` handler.\n  // TODO: thenables are checked up until they have the correct methods,\n  // but according to documentation, the `then` method should receive\n  // the `fulfill` and `reject` arguments as well or it may be never resolved.\n  return isPromise(obj) || obj !== null && _typeof(obj) === 'object' && typeof obj.then === 'function' && typeof obj.catch === 'function';\n}\nfunction waitForActual(promiseFn) {\n  return Promise.resolve().then(function () {\n    var resultPromise;\n    if (typeof promiseFn === 'function') {\n      // Return a rejected promise if `promiseFn` throws synchronously.\n      resultPromise = promiseFn(); // Fail in case no promise is returned.\n\n      if (!checkIsPromise(resultPromise)) {\n        throw new ERR_INVALID_RETURN_VALUE('instance of Promise', 'promiseFn', resultPromise);\n      }\n    } else if (checkIsPromise(promiseFn)) {\n      resultPromise = promiseFn;\n    } else {\n      throw new ERR_INVALID_ARG_TYPE('promiseFn', ['Function', 'Promise'], promiseFn);\n    }\n    return Promise.resolve().then(function () {\n      return resultPromise;\n    }).then(function () {\n      return NO_EXCEPTION_SENTINEL;\n    }).catch(function (e) {\n      return e;\n    });\n  });\n}\nfunction expectsError(stackStartFn, actual, error, message) {\n  if (typeof error === 'string') {\n    if (arguments.length === 4) {\n      throw new ERR_INVALID_ARG_TYPE('error', ['Object', 'Error', 'Function', 'RegExp'], error);\n    }\n    if (_typeof(actual) === 'object' && actual !== null) {\n      if (actual.message === error) {\n        throw new ERR_AMBIGUOUS_ARGUMENT('error/message', \"The error message \\\"\".concat(actual.message, \"\\\" is identical to the message.\"));\n      }\n    } else if (actual === error) {\n      throw new ERR_AMBIGUOUS_ARGUMENT('error/message', \"The error \\\"\".concat(actual, \"\\\" is identical to the message.\"));\n    }\n    message = error;\n    error = undefined;\n  } else if (error != null && _typeof(error) !== 'object' && typeof error !== 'function') {\n    throw new ERR_INVALID_ARG_TYPE('error', ['Object', 'Error', 'Function', 'RegExp'], error);\n  }\n  if (actual === NO_EXCEPTION_SENTINEL) {\n    var details = '';\n    if (error && error.name) {\n      details += \" (\".concat(error.name, \")\");\n    }\n    details += message ? \": \".concat(message) : '.';\n    var fnType = stackStartFn.name === 'rejects' ? 'rejection' : 'exception';\n    innerFail({\n      actual: undefined,\n      expected: error,\n      operator: stackStartFn.name,\n      message: \"Missing expected \".concat(fnType).concat(details),\n      stackStartFn: stackStartFn\n    });\n  }\n  if (error && !expectedException(actual, error, message, stackStartFn)) {\n    throw actual;\n  }\n}\nfunction expectsNoError(stackStartFn, actual, error, message) {\n  if (actual === NO_EXCEPTION_SENTINEL) return;\n  if (typeof error === 'string') {\n    message = error;\n    error = undefined;\n  }\n  if (!error || expectedException(actual, error)) {\n    var details = message ? \": \".concat(message) : '.';\n    var fnType = stackStartFn.name === 'doesNotReject' ? 'rejection' : 'exception';\n    innerFail({\n      actual: actual,\n      expected: error,\n      operator: stackStartFn.name,\n      message: \"Got unwanted \".concat(fnType).concat(details, \"\\n\") + \"Actual message: \\\"\".concat(actual && actual.message, \"\\\"\"),\n      stackStartFn: stackStartFn\n    });\n  }\n  throw actual;\n}\nassert.throws = function throws(promiseFn) {\n  for (var _len2 = arguments.length, args = new Array(_len2 > 1 ? _len2 - 1 : 0), _key2 = 1; _key2 < _len2; _key2++) {\n    args[_key2 - 1] = arguments[_key2];\n  }\n  expectsError.apply(void 0, [throws, getActual(promiseFn)].concat(args));\n};\nassert.rejects = function rejects(promiseFn) {\n  for (var _len3 = arguments.length, args = new Array(_len3 > 1 ? _len3 - 1 : 0), _key3 = 1; _key3 < _len3; _key3++) {\n    args[_key3 - 1] = arguments[_key3];\n  }\n  return waitForActual(promiseFn).then(function (result) {\n    return expectsError.apply(void 0, [rejects, result].concat(args));\n  });\n};\nassert.doesNotThrow = function doesNotThrow(fn) {\n  for (var _len4 = arguments.length, args = new Array(_len4 > 1 ? _len4 - 1 : 0), _key4 = 1; _key4 < _len4; _key4++) {\n    args[_key4 - 1] = arguments[_key4];\n  }\n  expectsNoError.apply(void 0, [doesNotThrow, getActual(fn)].concat(args));\n};\nassert.doesNotReject = function doesNotReject(fn) {\n  for (var _len5 = arguments.length, args = new Array(_len5 > 1 ? _len5 - 1 : 0), _key5 = 1; _key5 < _len5; _key5++) {\n    args[_key5 - 1] = arguments[_key5];\n  }\n  return waitForActual(fn).then(function (result) {\n    return expectsNoError.apply(void 0, [doesNotReject, result].concat(args));\n  });\n};\nassert.ifError = function ifError(err) {\n  if (err !== null && err !== undefined) {\n    var message = 'ifError got unwanted exception: ';\n    if (_typeof(err) === 'object' && typeof err.message === 'string') {\n      if (err.message.length === 0 && err.constructor) {\n        message += err.constructor.name;\n      } else {\n        message += err.message;\n      }\n    } else {\n      message += inspect(err);\n    }\n    var newErr = new AssertionError({\n      actual: err,\n      expected: null,\n      operator: 'ifError',\n      message: message,\n      stackStartFn: ifError\n    }); // Make sure we actually have a stack trace!\n\n    var origStack = err.stack;\n    if (typeof origStack === 'string') {\n      // This will remove any duplicated frames from the error frames taken\n      // from within `ifError` and add the original error frames to the newly\n      // created ones.\n      var tmp2 = origStack.split('\\n');\n      tmp2.shift(); // Filter all frames existing in err.stack.\n\n      var tmp1 = newErr.stack.split('\\n');\n      for (var i = 0; i < tmp2.length; i++) {\n        // Find the first occurrence of the frame.\n        var pos = tmp1.indexOf(tmp2[i]);\n        if (pos !== -1) {\n          // Only keep new frames.\n          tmp1 = tmp1.slice(0, pos);\n          break;\n        }\n      }\n      newErr.stack = \"\".concat(tmp1.join('\\n'), \"\\n\").concat(tmp2.join('\\n'));\n    }\n    throw newErr;\n  }\n}; // Expose a strict only variant of assert\n\nfunction strict() {\n  for (var _len6 = arguments.length, args = new Array(_len6), _key6 = 0; _key6 < _len6; _key6++) {\n    args[_key6] = arguments[_key6];\n  }\n  innerOk.apply(void 0, [strict, args.length].concat(args));\n}\nassert.strict = objectAssign(strict, assert, {\n  equal: assert.strictEqual,\n  deepEqual: assert.deepStrictEqual,\n  notEqual: assert.notStrictEqual,\n  notDeepEqual: assert.notDeepStrictEqual\n});\nassert.strict.strict = assert.strict;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/assert.js?");
-
-/***/ }),
-
-/***/ "./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/assert/assertion_error.js":
-/*!****************************************************************************************************************!*\
-  !*** ./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/assert/assertion_error.js ***!
-  \****************************************************************************************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-"use strict";
-eval("/* provided dependency */ var process = __webpack_require__(/*! ./node_modules/process/browser.js */ \"./node_modules/process/browser.js\");\n// Currently in sync with Node.js lib/internal/assert/assertion_error.js\n// https://github.com/nodejs/node/commit/0817840f775032169ddd70c85ac059f18ffcc81c\n\n\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\nfunction _objectSpread(target) {\n  for (var i = 1; i < arguments.length; i++) {\n    var source = arguments[i] != null ? arguments[i] : {};\n    var ownKeys = Object.keys(source);\n    if (typeof Object.getOwnPropertySymbols === 'function') {\n      ownKeys = ownKeys.concat(Object.getOwnPropertySymbols(source).filter(function (sym) {\n        return Object.getOwnPropertyDescriptor(source, sym).enumerable;\n      }));\n    }\n    ownKeys.forEach(function (key) {\n      _defineProperty(target, key, source[key]);\n    });\n  }\n  return target;\n}\nfunction _defineProperty(obj, key, value) {\n  if (key in obj) {\n    Object.defineProperty(obj, key, {\n      value: value,\n      enumerable: true,\n      configurable: true,\n      writable: true\n    });\n  } else {\n    obj[key] = value;\n  }\n  return obj;\n}\nfunction _classCallCheck(instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n}\nfunction _defineProperties(target, props) {\n  for (var i = 0; i < props.length; i++) {\n    var descriptor = props[i];\n    descriptor.enumerable = descriptor.enumerable || false;\n    descriptor.configurable = true;\n    if (\"value\" in descriptor) descriptor.writable = true;\n    Object.defineProperty(target, descriptor.key, descriptor);\n  }\n}\nfunction _createClass(Constructor, protoProps, staticProps) {\n  if (protoProps) _defineProperties(Constructor.prototype, protoProps);\n  if (staticProps) _defineProperties(Constructor, staticProps);\n  return Constructor;\n}\nfunction _possibleConstructorReturn(self, call) {\n  if (call && (_typeof(call) === \"object\" || typeof call === \"function\")) {\n    return call;\n  }\n  return _assertThisInitialized(self);\n}\nfunction _assertThisInitialized(self) {\n  if (self === void 0) {\n    throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");\n  }\n  return self;\n}\nfunction _inherits(subClass, superClass) {\n  if (typeof superClass !== \"function\" && superClass !== null) {\n    throw new TypeError(\"Super expression must either be null or a function\");\n  }\n  subClass.prototype = Object.create(superClass && superClass.prototype, {\n    constructor: {\n      value: subClass,\n      writable: true,\n      configurable: true\n    }\n  });\n  if (superClass) _setPrototypeOf(subClass, superClass);\n}\nfunction _wrapNativeSuper(Class) {\n  var _cache = typeof Map === \"function\" ? new Map() : undefined;\n  _wrapNativeSuper = function _wrapNativeSuper(Class) {\n    if (Class === null || !_isNativeFunction(Class)) return Class;\n    if (typeof Class !== \"function\") {\n      throw new TypeError(\"Super expression must either be null or a function\");\n    }\n    if (typeof _cache !== \"undefined\") {\n      if (_cache.has(Class)) return _cache.get(Class);\n      _cache.set(Class, Wrapper);\n    }\n    function Wrapper() {\n      return _construct(Class, arguments, _getPrototypeOf(this).constructor);\n    }\n    Wrapper.prototype = Object.create(Class.prototype, {\n      constructor: {\n        value: Wrapper,\n        enumerable: false,\n        writable: true,\n        configurable: true\n      }\n    });\n    return _setPrototypeOf(Wrapper, Class);\n  };\n  return _wrapNativeSuper(Class);\n}\nfunction isNativeReflectConstruct() {\n  if (typeof Reflect === \"undefined\" || !Reflect.construct) return false;\n  if (Reflect.construct.sham) return false;\n  if (typeof Proxy === \"function\") return true;\n  try {\n    Date.prototype.toString.call(Reflect.construct(Date, [], function () {}));\n    return true;\n  } catch (e) {\n    return false;\n  }\n}\nfunction _construct(Parent, args, Class) {\n  if (isNativeReflectConstruct()) {\n    _construct = Reflect.construct;\n  } else {\n    _construct = function _construct(Parent, args, Class) {\n      var a = [null];\n      a.push.apply(a, args);\n      var Constructor = Function.bind.apply(Parent, a);\n      var instance = new Constructor();\n      if (Class) _setPrototypeOf(instance, Class.prototype);\n      return instance;\n    };\n  }\n  return _construct.apply(null, arguments);\n}\nfunction _isNativeFunction(fn) {\n  return Function.toString.call(fn).indexOf(\"[native code]\") !== -1;\n}\nfunction _setPrototypeOf(o, p) {\n  _setPrototypeOf = Object.setPrototypeOf || function _setPrototypeOf(o, p) {\n    o.__proto__ = p;\n    return o;\n  };\n  return _setPrototypeOf(o, p);\n}\nfunction _getPrototypeOf(o) {\n  _getPrototypeOf = Object.setPrototypeOf ? Object.getPrototypeOf : function _getPrototypeOf(o) {\n    return o.__proto__ || Object.getPrototypeOf(o);\n  };\n  return _getPrototypeOf(o);\n}\nfunction _typeof(obj) {\n  if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") {\n    _typeof = function _typeof(obj) {\n      return typeof obj;\n    };\n  } else {\n    _typeof = function _typeof(obj) {\n      return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n    };\n  }\n  return _typeof(obj);\n}\nvar _require = __webpack_require__(/*! util/ */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/util/util.js\"),\n  inspect = _require.inspect;\nvar _require2 = __webpack_require__(/*! ../errors */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/errors.js\"),\n  ERR_INVALID_ARG_TYPE = _require2.codes.ERR_INVALID_ARG_TYPE; // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/endsWith\n\nfunction endsWith(str, search, this_len) {\n  if (this_len === undefined || this_len > str.length) {\n    this_len = str.length;\n  }\n  return str.substring(this_len - search.length, this_len) === search;\n} // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/repeat\n\nfunction repeat(str, count) {\n  count = Math.floor(count);\n  if (str.length == 0 || count == 0) return '';\n  var maxCount = str.length * count;\n  count = Math.floor(Math.log(count) / Math.log(2));\n  while (count) {\n    str += str;\n    count--;\n  }\n  str += str.substring(0, maxCount - str.length);\n  return str;\n}\nvar blue = '';\nvar green = '';\nvar red = '';\nvar white = '';\nvar kReadableOperator = {\n  deepStrictEqual: 'Expected values to be strictly deep-equal:',\n  strictEqual: 'Expected values to be strictly equal:',\n  strictEqualObject: 'Expected \"actual\" to be reference-equal to \"expected\":',\n  deepEqual: 'Expected values to be loosely deep-equal:',\n  equal: 'Expected values to be loosely equal:',\n  notDeepStrictEqual: 'Expected \"actual\" not to be strictly deep-equal to:',\n  notStrictEqual: 'Expected \"actual\" to be strictly unequal to:',\n  notStrictEqualObject: 'Expected \"actual\" not to be reference-equal to \"expected\":',\n  notDeepEqual: 'Expected \"actual\" not to be loosely deep-equal to:',\n  notEqual: 'Expected \"actual\" to be loosely unequal to:',\n  notIdentical: 'Values identical but not reference-equal:'\n}; // Comparing short primitives should just show === / !== instead of using the\n// diff.\n\nvar kMaxShortLength = 10;\nfunction copyError(source) {\n  var keys = Object.keys(source);\n  var target = Object.create(Object.getPrototypeOf(source));\n  keys.forEach(function (key) {\n    target[key] = source[key];\n  });\n  Object.defineProperty(target, 'message', {\n    value: source.message\n  });\n  return target;\n}\nfunction inspectValue(val) {\n  // The util.inspect default values could be changed. This makes sure the\n  // error messages contain the necessary information nevertheless.\n  return inspect(val, {\n    compact: false,\n    customInspect: false,\n    depth: 1000,\n    maxArrayLength: Infinity,\n    // Assert compares only enumerable properties (with a few exceptions).\n    showHidden: false,\n    // Having a long line as error is better than wrapping the line for\n    // comparison for now.\n    // TODO(BridgeAR): `breakLength` should be limited as soon as soon as we\n    // have meta information about the inspected properties (i.e., know where\n    // in what line the property starts and ends).\n    breakLength: Infinity,\n    // Assert does not detect proxies currently.\n    showProxy: false,\n    sorted: true,\n    // Inspect getters as we also check them when comparing entries.\n    getters: true\n  });\n}\nfunction createErrDiff(actual, expected, operator) {\n  var other = '';\n  var res = '';\n  var lastPos = 0;\n  var end = '';\n  var skipped = false;\n  var actualInspected = inspectValue(actual);\n  var actualLines = actualInspected.split('\\n');\n  var expectedLines = inspectValue(expected).split('\\n');\n  var i = 0;\n  var indicator = ''; // In case both values are objects explicitly mark them as not reference equal\n  // for the `strictEqual` operator.\n\n  if (operator === 'strictEqual' && _typeof(actual) === 'object' && _typeof(expected) === 'object' && actual !== null && expected !== null) {\n    operator = 'strictEqualObject';\n  } // If \"actual\" and \"expected\" fit on a single line and they are not strictly\n  // equal, check further special handling.\n\n  if (actualLines.length === 1 && expectedLines.length === 1 && actualLines[0] !== expectedLines[0]) {\n    var inputLength = actualLines[0].length + expectedLines[0].length; // If the character length of \"actual\" and \"expected\" together is less than\n    // kMaxShortLength and if neither is an object and at least one of them is\n    // not `zero`, use the strict equal comparison to visualize the output.\n\n    if (inputLength <= kMaxShortLength) {\n      if ((_typeof(actual) !== 'object' || actual === null) && (_typeof(expected) !== 'object' || expected === null) && (actual !== 0 || expected !== 0)) {\n        // -0 === +0\n        return \"\".concat(kReadableOperator[operator], \"\\n\\n\") + \"\".concat(actualLines[0], \" !== \").concat(expectedLines[0], \"\\n\");\n      }\n    } else if (operator !== 'strictEqualObject') {\n      // If the stderr is a tty and the input length is lower than the current\n      // columns per line, add a mismatch indicator below the output. If it is\n      // not a tty, use a default value of 80 characters.\n      var maxLength = process.stderr && process.stderr.isTTY ? process.stderr.columns : 80;\n      if (inputLength < maxLength) {\n        while (actualLines[0][i] === expectedLines[0][i]) {\n          i++;\n        } // Ignore the first characters.\n\n        if (i > 2) {\n          // Add position indicator for the first mismatch in case it is a\n          // single line and the input length is less than the column length.\n          indicator = \"\\n  \".concat(repeat(' ', i), \"^\");\n          i = 0;\n        }\n      }\n    }\n  } // Remove all ending lines that match (this optimizes the output for\n  // readability by reducing the number of total changed lines).\n\n  var a = actualLines[actualLines.length - 1];\n  var b = expectedLines[expectedLines.length - 1];\n  while (a === b) {\n    if (i++ < 2) {\n      end = \"\\n  \".concat(a).concat(end);\n    } else {\n      other = a;\n    }\n    actualLines.pop();\n    expectedLines.pop();\n    if (actualLines.length === 0 || expectedLines.length === 0) break;\n    a = actualLines[actualLines.length - 1];\n    b = expectedLines[expectedLines.length - 1];\n  }\n  var maxLines = Math.max(actualLines.length, expectedLines.length); // Strict equal with identical objects that are not identical by reference.\n  // E.g., assert.deepStrictEqual({ a: Symbol() }, { a: Symbol() })\n\n  if (maxLines === 0) {\n    // We have to get the result again. The lines were all removed before.\n    var _actualLines = actualInspected.split('\\n'); // Only remove lines in case it makes sense to collapse those.\n    // TODO: Accept env to always show the full error.\n\n    if (_actualLines.length > 30) {\n      _actualLines[26] = \"\".concat(blue, \"...\").concat(white);\n      while (_actualLines.length > 27) {\n        _actualLines.pop();\n      }\n    }\n    return \"\".concat(kReadableOperator.notIdentical, \"\\n\\n\").concat(_actualLines.join('\\n'), \"\\n\");\n  }\n  if (i > 3) {\n    end = \"\\n\".concat(blue, \"...\").concat(white).concat(end);\n    skipped = true;\n  }\n  if (other !== '') {\n    end = \"\\n  \".concat(other).concat(end);\n    other = '';\n  }\n  var printedLines = 0;\n  var msg = kReadableOperator[operator] + \"\\n\".concat(green, \"+ actual\").concat(white, \" \").concat(red, \"- expected\").concat(white);\n  var skippedMsg = \" \".concat(blue, \"...\").concat(white, \" Lines skipped\");\n  for (i = 0; i < maxLines; i++) {\n    // Only extra expected lines exist\n    var cur = i - lastPos;\n    if (actualLines.length < i + 1) {\n      // If the last diverging line is more than one line above and the\n      // current line is at least line three, add some of the former lines and\n      // also add dots to indicate skipped entries.\n      if (cur > 1 && i > 2) {\n        if (cur > 4) {\n          res += \"\\n\".concat(blue, \"...\").concat(white);\n          skipped = true;\n        } else if (cur > 3) {\n          res += \"\\n  \".concat(expectedLines[i - 2]);\n          printedLines++;\n        }\n        res += \"\\n  \".concat(expectedLines[i - 1]);\n        printedLines++;\n      } // Mark the current line as the last diverging one.\n\n      lastPos = i; // Add the expected line to the cache.\n\n      other += \"\\n\".concat(red, \"-\").concat(white, \" \").concat(expectedLines[i]);\n      printedLines++; // Only extra actual lines exist\n    } else if (expectedLines.length < i + 1) {\n      // If the last diverging line is more than one line above and the\n      // current line is at least line three, add some of the former lines and\n      // also add dots to indicate skipped entries.\n      if (cur > 1 && i > 2) {\n        if (cur > 4) {\n          res += \"\\n\".concat(blue, \"...\").concat(white);\n          skipped = true;\n        } else if (cur > 3) {\n          res += \"\\n  \".concat(actualLines[i - 2]);\n          printedLines++;\n        }\n        res += \"\\n  \".concat(actualLines[i - 1]);\n        printedLines++;\n      } // Mark the current line as the last diverging one.\n\n      lastPos = i; // Add the actual line to the result.\n\n      res += \"\\n\".concat(green, \"+\").concat(white, \" \").concat(actualLines[i]);\n      printedLines++; // Lines diverge\n    } else {\n      var expectedLine = expectedLines[i];\n      var actualLine = actualLines[i]; // If the lines diverge, specifically check for lines that only diverge by\n      // a trailing comma. In that case it is actually identical and we should\n      // mark it as such.\n\n      var divergingLines = actualLine !== expectedLine && (!endsWith(actualLine, ',') || actualLine.slice(0, -1) !== expectedLine); // If the expected line has a trailing comma but is otherwise identical,\n      // add a comma at the end of the actual line. Otherwise the output could\n      // look weird as in:\n      //\n      //   [\n      //     1         // No comma at the end!\n      // +   2\n      //   ]\n      //\n\n      if (divergingLines && endsWith(expectedLine, ',') && expectedLine.slice(0, -1) === actualLine) {\n        divergingLines = false;\n        actualLine += ',';\n      }\n      if (divergingLines) {\n        // If the last diverging line is more than one line above and the\n        // current line is at least line three, add some of the former lines and\n        // also add dots to indicate skipped entries.\n        if (cur > 1 && i > 2) {\n          if (cur > 4) {\n            res += \"\\n\".concat(blue, \"...\").concat(white);\n            skipped = true;\n          } else if (cur > 3) {\n            res += \"\\n  \".concat(actualLines[i - 2]);\n            printedLines++;\n          }\n          res += \"\\n  \".concat(actualLines[i - 1]);\n          printedLines++;\n        } // Mark the current line as the last diverging one.\n\n        lastPos = i; // Add the actual line to the result and cache the expected diverging\n        // line so consecutive diverging lines show up as +++--- and not +-+-+-.\n\n        res += \"\\n\".concat(green, \"+\").concat(white, \" \").concat(actualLine);\n        other += \"\\n\".concat(red, \"-\").concat(white, \" \").concat(expectedLine);\n        printedLines += 2; // Lines are identical\n      } else {\n        // Add all cached information to the result before adding other things\n        // and reset the cache.\n        res += other;\n        other = ''; // If the last diverging line is exactly one line above or if it is the\n        // very first line, add the line to the result.\n\n        if (cur === 1 || i === 0) {\n          res += \"\\n  \".concat(actualLine);\n          printedLines++;\n        }\n      }\n    } // Inspected object to big (Show ~20 rows max)\n\n    if (printedLines > 20 && i < maxLines - 2) {\n      return \"\".concat(msg).concat(skippedMsg, \"\\n\").concat(res, \"\\n\").concat(blue, \"...\").concat(white).concat(other, \"\\n\") + \"\".concat(blue, \"...\").concat(white);\n    }\n  }\n  return \"\".concat(msg).concat(skipped ? skippedMsg : '', \"\\n\").concat(res).concat(other).concat(end).concat(indicator);\n}\nvar AssertionError = /*#__PURE__*/\nfunction (_Error) {\n  _inherits(AssertionError, _Error);\n  function AssertionError(options) {\n    var _this;\n    _classCallCheck(this, AssertionError);\n    if (_typeof(options) !== 'object' || options === null) {\n      throw new ERR_INVALID_ARG_TYPE('options', 'Object', options);\n    }\n    var message = options.message,\n      operator = options.operator,\n      stackStartFn = options.stackStartFn;\n    var actual = options.actual,\n      expected = options.expected;\n    var limit = Error.stackTraceLimit;\n    Error.stackTraceLimit = 0;\n    if (message != null) {\n      _this = _possibleConstructorReturn(this, _getPrototypeOf(AssertionError).call(this, String(message)));\n    } else {\n      if (process.stderr && process.stderr.isTTY) {\n        // Reset on each call to make sure we handle dynamically set environment\n        // variables correct.\n        if (process.stderr && process.stderr.getColorDepth && process.stderr.getColorDepth() !== 1) {\n          blue = \"\\x1B[34m\";\n          green = \"\\x1B[32m\";\n          white = \"\\x1B[39m\";\n          red = \"\\x1B[31m\";\n        } else {\n          blue = '';\n          green = '';\n          white = '';\n          red = '';\n        }\n      } // Prevent the error stack from being visible by duplicating the error\n      // in a very close way to the original in case both sides are actually\n      // instances of Error.\n\n      if (_typeof(actual) === 'object' && actual !== null && _typeof(expected) === 'object' && expected !== null && 'stack' in actual && actual instanceof Error && 'stack' in expected && expected instanceof Error) {\n        actual = copyError(actual);\n        expected = copyError(expected);\n      }\n      if (operator === 'deepStrictEqual' || operator === 'strictEqual') {\n        _this = _possibleConstructorReturn(this, _getPrototypeOf(AssertionError).call(this, createErrDiff(actual, expected, operator)));\n      } else if (operator === 'notDeepStrictEqual' || operator === 'notStrictEqual') {\n        // In case the objects are equal but the operator requires unequal, show\n        // the first object and say A equals B\n        var base = kReadableOperator[operator];\n        var res = inspectValue(actual).split('\\n'); // In case \"actual\" is an object, it should not be reference equal.\n\n        if (operator === 'notStrictEqual' && _typeof(actual) === 'object' && actual !== null) {\n          base = kReadableOperator.notStrictEqualObject;\n        } // Only remove lines in case it makes sense to collapse those.\n        // TODO: Accept env to always show the full error.\n\n        if (res.length > 30) {\n          res[26] = \"\".concat(blue, \"...\").concat(white);\n          while (res.length > 27) {\n            res.pop();\n          }\n        } // Only print a single input.\n\n        if (res.length === 1) {\n          _this = _possibleConstructorReturn(this, _getPrototypeOf(AssertionError).call(this, \"\".concat(base, \" \").concat(res[0])));\n        } else {\n          _this = _possibleConstructorReturn(this, _getPrototypeOf(AssertionError).call(this, \"\".concat(base, \"\\n\\n\").concat(res.join('\\n'), \"\\n\")));\n        }\n      } else {\n        var _res = inspectValue(actual);\n        var other = '';\n        var knownOperators = kReadableOperator[operator];\n        if (operator === 'notDeepEqual' || operator === 'notEqual') {\n          _res = \"\".concat(kReadableOperator[operator], \"\\n\\n\").concat(_res);\n          if (_res.length > 1024) {\n            _res = \"\".concat(_res.slice(0, 1021), \"...\");\n          }\n        } else {\n          other = \"\".concat(inspectValue(expected));\n          if (_res.length > 512) {\n            _res = \"\".concat(_res.slice(0, 509), \"...\");\n          }\n          if (other.length > 512) {\n            other = \"\".concat(other.slice(0, 509), \"...\");\n          }\n          if (operator === 'deepEqual' || operator === 'equal') {\n            _res = \"\".concat(knownOperators, \"\\n\\n\").concat(_res, \"\\n\\nshould equal\\n\\n\");\n          } else {\n            other = \" \".concat(operator, \" \").concat(other);\n          }\n        }\n        _this = _possibleConstructorReturn(this, _getPrototypeOf(AssertionError).call(this, \"\".concat(_res).concat(other)));\n      }\n    }\n    Error.stackTraceLimit = limit;\n    _this.generatedMessage = !message;\n    Object.defineProperty(_assertThisInitialized(_this), 'name', {\n      value: 'AssertionError [ERR_ASSERTION]',\n      enumerable: false,\n      writable: true,\n      configurable: true\n    });\n    _this.code = 'ERR_ASSERTION';\n    _this.actual = actual;\n    _this.expected = expected;\n    _this.operator = operator;\n    if (Error.captureStackTrace) {\n      // eslint-disable-next-line no-restricted-syntax\n      Error.captureStackTrace(_assertThisInitialized(_this), stackStartFn);\n    } // Create error message including the error code in the name.\n\n    _this.stack; // Reset the name.\n\n    _this.name = 'AssertionError';\n    return _possibleConstructorReturn(_this);\n  }\n  _createClass(AssertionError, [{\n    key: \"toString\",\n    value: function toString() {\n      return \"\".concat(this.name, \" [\").concat(this.code, \"]: \").concat(this.message);\n    }\n  }, {\n    key: inspect.custom,\n    value: function value(recurseTimes, ctx) {\n      // This limits the `actual` and `expected` property default inspection to\n      // the minimum depth. Otherwise those values would be too verbose compared\n      // to the actual error message which contains a combined view of these two\n      // input values.\n      return inspect(this, _objectSpread({}, ctx, {\n        customInspect: false,\n        depth: 0\n      }));\n    }\n  }]);\n  return AssertionError;\n}(_wrapNativeSuper(Error));\nmodule.exports = AssertionError;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/assert/assertion_error.js?");
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-/***/ }),
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-/***/ "./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/errors.js":
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-  !*** ./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/errors.js ***!
-  \************************************************************************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-"use strict";
-eval("// Currently in sync with Node.js lib/internal/errors.js\n// https://github.com/nodejs/node/commit/3b044962c48fe313905877a96b5d0894a5404f6f\n\n/* eslint node-core/documented-errors: \"error\" */\n\n/* eslint node-core/alphabetize-errors: \"error\" */\n\n/* eslint node-core/prefer-util-format-errors: \"error\" */\n\n\n// The whole point behind this internal module is to allow Node.js to no\n// longer be forced to treat every error message change as a semver-major\n// change. The NodeError classes here all expose a `code` property whose\n// value statically and permanently identifies the error. While the error\n// message may change, the code should not.\nfunction _typeof(obj) {\n  if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") {\n    _typeof = function _typeof(obj) {\n      return typeof obj;\n    };\n  } else {\n    _typeof = function _typeof(obj) {\n      return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n    };\n  }\n  return _typeof(obj);\n}\nfunction _classCallCheck(instance, Constructor) {\n  if (!(instance instanceof Constructor)) {\n    throw new TypeError(\"Cannot call a class as a function\");\n  }\n}\nfunction _possibleConstructorReturn(self, call) {\n  if (call && (_typeof(call) === \"object\" || typeof call === \"function\")) {\n    return call;\n  }\n  return _assertThisInitialized(self);\n}\nfunction _assertThisInitialized(self) {\n  if (self === void 0) {\n    throw new ReferenceError(\"this hasn't been initialised - super() hasn't been called\");\n  }\n  return self;\n}\nfunction _getPrototypeOf(o) {\n  _getPrototypeOf = Object.setPrototypeOf ? Object.getPrototypeOf : function _getPrototypeOf(o) {\n    return o.__proto__ || Object.getPrototypeOf(o);\n  };\n  return _getPrototypeOf(o);\n}\nfunction _inherits(subClass, superClass) {\n  if (typeof superClass !== \"function\" && superClass !== null) {\n    throw new TypeError(\"Super expression must either be null or a function\");\n  }\n  subClass.prototype = Object.create(superClass && superClass.prototype, {\n    constructor: {\n      value: subClass,\n      writable: true,\n      configurable: true\n    }\n  });\n  if (superClass) _setPrototypeOf(subClass, superClass);\n}\nfunction _setPrototypeOf(o, p) {\n  _setPrototypeOf = Object.setPrototypeOf || function _setPrototypeOf(o, p) {\n    o.__proto__ = p;\n    return o;\n  };\n  return _setPrototypeOf(o, p);\n}\nvar codes = {}; // Lazy loaded\n\nvar assert;\nvar util;\nfunction createErrorType(code, message, Base) {\n  if (!Base) {\n    Base = Error;\n  }\n  function getMessage(arg1, arg2, arg3) {\n    if (typeof message === 'string') {\n      return message;\n    } else {\n      return message(arg1, arg2, arg3);\n    }\n  }\n  var NodeError = /*#__PURE__*/\n  function (_Base) {\n    _inherits(NodeError, _Base);\n    function NodeError(arg1, arg2, arg3) {\n      var _this;\n      _classCallCheck(this, NodeError);\n      _this = _possibleConstructorReturn(this, _getPrototypeOf(NodeError).call(this, getMessage(arg1, arg2, arg3)));\n      _this.code = code;\n      return _this;\n    }\n    return NodeError;\n  }(Base);\n  codes[code] = NodeError;\n} // https://github.com/nodejs/node/blob/v10.8.0/lib/internal/errors.js\n\nfunction oneOf(expected, thing) {\n  if (Array.isArray(expected)) {\n    var len = expected.length;\n    expected = expected.map(function (i) {\n      return String(i);\n    });\n    if (len > 2) {\n      return \"one of \".concat(thing, \" \").concat(expected.slice(0, len - 1).join(', '), \", or \") + expected[len - 1];\n    } else if (len === 2) {\n      return \"one of \".concat(thing, \" \").concat(expected[0], \" or \").concat(expected[1]);\n    } else {\n      return \"of \".concat(thing, \" \").concat(expected[0]);\n    }\n  } else {\n    return \"of \".concat(thing, \" \").concat(String(expected));\n  }\n} // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/startsWith\n\nfunction startsWith(str, search, pos) {\n  return str.substr(!pos || pos < 0 ? 0 : +pos, search.length) === search;\n} // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/endsWith\n\nfunction endsWith(str, search, this_len) {\n  if (this_len === undefined || this_len > str.length) {\n    this_len = str.length;\n  }\n  return str.substring(this_len - search.length, this_len) === search;\n} // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/String/includes\n\nfunction includes(str, search, start) {\n  if (typeof start !== 'number') {\n    start = 0;\n  }\n  if (start + search.length > str.length) {\n    return false;\n  } else {\n    return str.indexOf(search, start) !== -1;\n  }\n}\ncreateErrorType('ERR_AMBIGUOUS_ARGUMENT', 'The \"%s\" argument is ambiguous. %s', TypeError);\ncreateErrorType('ERR_INVALID_ARG_TYPE', function (name, expected, actual) {\n  if (assert === undefined) assert = __webpack_require__(/*! ../assert */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/assert.js\");\n  assert(typeof name === 'string', \"'name' must be a string\"); // determiner: 'must be' or 'must not be'\n\n  var determiner;\n  if (typeof expected === 'string' && startsWith(expected, 'not ')) {\n    determiner = 'must not be';\n    expected = expected.replace(/^not /, '');\n  } else {\n    determiner = 'must be';\n  }\n  var msg;\n  if (endsWith(name, ' argument')) {\n    // For cases like 'first argument'\n    msg = \"The \".concat(name, \" \").concat(determiner, \" \").concat(oneOf(expected, 'type'));\n  } else {\n    var type = includes(name, '.') ? 'property' : 'argument';\n    msg = \"The \\\"\".concat(name, \"\\\" \").concat(type, \" \").concat(determiner, \" \").concat(oneOf(expected, 'type'));\n  } // TODO(BridgeAR): Improve the output by showing `null` and similar.\n\n  msg += \". Received type \".concat(_typeof(actual));\n  return msg;\n}, TypeError);\ncreateErrorType('ERR_INVALID_ARG_VALUE', function (name, value) {\n  var reason = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : 'is invalid';\n  if (util === undefined) util = __webpack_require__(/*! util/ */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/util/util.js\");\n  var inspected = util.inspect(value);\n  if (inspected.length > 128) {\n    inspected = \"\".concat(inspected.slice(0, 128), \"...\");\n  }\n  return \"The argument '\".concat(name, \"' \").concat(reason, \". Received \").concat(inspected);\n}, TypeError, RangeError);\ncreateErrorType('ERR_INVALID_RETURN_VALUE', function (input, name, value) {\n  var type;\n  if (value && value.constructor && value.constructor.name) {\n    type = \"instance of \".concat(value.constructor.name);\n  } else {\n    type = \"type \".concat(_typeof(value));\n  }\n  return \"Expected \".concat(input, \" to be returned from the \\\"\").concat(name, \"\\\"\") + \" function but got \".concat(type, \".\");\n}, TypeError);\ncreateErrorType('ERR_MISSING_ARGS', function () {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n  if (assert === undefined) assert = __webpack_require__(/*! ../assert */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/assert.js\");\n  assert(args.length > 0, 'At least one arg needs to be specified');\n  var msg = 'The ';\n  var len = args.length;\n  args = args.map(function (a) {\n    return \"\\\"\".concat(a, \"\\\"\");\n  });\n  switch (len) {\n    case 1:\n      msg += \"\".concat(args[0], \" argument\");\n      break;\n    case 2:\n      msg += \"\".concat(args[0], \" and \").concat(args[1], \" arguments\");\n      break;\n    default:\n      msg += args.slice(0, len - 1).join(', ');\n      msg += \", and \".concat(args[len - 1], \" arguments\");\n      break;\n  }\n  return \"\".concat(msg, \" must be specified\");\n}, TypeError);\nmodule.exports.codes = codes;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/errors.js?");
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-/***/ }),
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-/***/ "./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/util/comparisons.js":
-/*!**********************************************************************************************************!*\
-  !*** ./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/util/comparisons.js ***!
-  \**********************************************************************************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-"use strict";
-eval("// Currently in sync with Node.js lib/internal/util/comparisons.js\n// https://github.com/nodejs/node/commit/112cc7c27551254aa2b17098fb774867f05ed0d9\n\n\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n__webpack_require__(/*! core-js/modules/es.regexp.flags.js */ \"./node_modules/core-js/modules/es.regexp.flags.js\");\nfunction _slicedToArray(arr, i) {\n  return _arrayWithHoles(arr) || _iterableToArrayLimit(arr, i) || _nonIterableRest();\n}\nfunction _nonIterableRest() {\n  throw new TypeError(\"Invalid attempt to destructure non-iterable instance\");\n}\nfunction _iterableToArrayLimit(arr, i) {\n  var _arr = [];\n  var _n = true;\n  var _d = false;\n  var _e = undefined;\n  try {\n    for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) {\n      _arr.push(_s.value);\n      if (i && _arr.length === i) break;\n    }\n  } catch (err) {\n    _d = true;\n    _e = err;\n  } finally {\n    try {\n      if (!_n && _i[\"return\"] != null) _i[\"return\"]();\n    } finally {\n      if (_d) throw _e;\n    }\n  }\n  return _arr;\n}\nfunction _arrayWithHoles(arr) {\n  if (Array.isArray(arr)) return arr;\n}\nfunction _typeof(obj) {\n  if (typeof Symbol === \"function\" && typeof Symbol.iterator === \"symbol\") {\n    _typeof = function _typeof(obj) {\n      return typeof obj;\n    };\n  } else {\n    _typeof = function _typeof(obj) {\n      return obj && typeof Symbol === \"function\" && obj.constructor === Symbol && obj !== Symbol.prototype ? \"symbol\" : typeof obj;\n    };\n  }\n  return _typeof(obj);\n}\nvar regexFlagsSupported = /a/g.flags !== undefined;\nvar arrayFromSet = function arrayFromSet(set) {\n  var array = [];\n  set.forEach(function (value) {\n    return array.push(value);\n  });\n  return array;\n};\nvar arrayFromMap = function arrayFromMap(map) {\n  var array = [];\n  map.forEach(function (value, key) {\n    return array.push([key, value]);\n  });\n  return array;\n};\nvar objectIs = Object.is ? Object.is : __webpack_require__(/*! object-is */ \"./node_modules/object-is/index.js\");\nvar objectGetOwnPropertySymbols = Object.getOwnPropertySymbols ? Object.getOwnPropertySymbols : function () {\n  return [];\n};\nvar numberIsNaN = Number.isNaN ? Number.isNaN : __webpack_require__(/*! is-nan */ \"./node_modules/is-nan/index.js\");\nfunction uncurryThis(f) {\n  return f.call.bind(f);\n}\nvar hasOwnProperty = uncurryThis(Object.prototype.hasOwnProperty);\nvar propertyIsEnumerable = uncurryThis(Object.prototype.propertyIsEnumerable);\nvar objectToString = uncurryThis(Object.prototype.toString);\nvar _require$types = (__webpack_require__(/*! util/ */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/util/util.js\").types),\n  isAnyArrayBuffer = _require$types.isAnyArrayBuffer,\n  isArrayBufferView = _require$types.isArrayBufferView,\n  isDate = _require$types.isDate,\n  isMap = _require$types.isMap,\n  isRegExp = _require$types.isRegExp,\n  isSet = _require$types.isSet,\n  isNativeError = _require$types.isNativeError,\n  isBoxedPrimitive = _require$types.isBoxedPrimitive,\n  isNumberObject = _require$types.isNumberObject,\n  isStringObject = _require$types.isStringObject,\n  isBooleanObject = _require$types.isBooleanObject,\n  isBigIntObject = _require$types.isBigIntObject,\n  isSymbolObject = _require$types.isSymbolObject,\n  isFloat32Array = _require$types.isFloat32Array,\n  isFloat64Array = _require$types.isFloat64Array;\nfunction isNonIndex(key) {\n  if (key.length === 0 || key.length > 10) return true;\n  for (var i = 0; i < key.length; i++) {\n    var code = key.charCodeAt(i);\n    if (code < 48 || code > 57) return true;\n  } // The maximum size for an array is 2 ** 32 -1.\n\n  return key.length === 10 && key >= Math.pow(2, 32);\n}\nfunction getOwnNonIndexProperties(value) {\n  return Object.keys(value).filter(isNonIndex).concat(objectGetOwnPropertySymbols(value).filter(Object.prototype.propertyIsEnumerable.bind(value)));\n} // Taken from https://github.com/feross/buffer/blob/680e9e5e488f22aac27599a57dc844a6315928dd/index.js\n// original notice:\n\n/*!\n * The buffer module from node.js, for the browser.\n *\n * @author   Feross Aboukhadijeh <feross@feross.org> <http://feross.org>\n * @license  MIT\n */\n\nfunction compare(a, b) {\n  if (a === b) {\n    return 0;\n  }\n  var x = a.length;\n  var y = b.length;\n  for (var i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i];\n      y = b[i];\n      break;\n    }\n  }\n  if (x < y) {\n    return -1;\n  }\n  if (y < x) {\n    return 1;\n  }\n  return 0;\n}\nvar ONLY_ENUMERABLE = undefined;\nvar kStrict = true;\nvar kLoose = false;\nvar kNoIterator = 0;\nvar kIsArray = 1;\nvar kIsSet = 2;\nvar kIsMap = 3; // Check if they have the same source and flags\n\nfunction areSimilarRegExps(a, b) {\n  return regexFlagsSupported ? a.source === b.source && a.flags === b.flags : RegExp.prototype.toString.call(a) === RegExp.prototype.toString.call(b);\n}\nfunction areSimilarFloatArrays(a, b) {\n  if (a.byteLength !== b.byteLength) {\n    return false;\n  }\n  for (var offset = 0; offset < a.byteLength; offset++) {\n    if (a[offset] !== b[offset]) {\n      return false;\n    }\n  }\n  return true;\n}\nfunction areSimilarTypedArrays(a, b) {\n  if (a.byteLength !== b.byteLength) {\n    return false;\n  }\n  return compare(new Uint8Array(a.buffer, a.byteOffset, a.byteLength), new Uint8Array(b.buffer, b.byteOffset, b.byteLength)) === 0;\n}\nfunction areEqualArrayBuffers(buf1, buf2) {\n  return buf1.byteLength === buf2.byteLength && compare(new Uint8Array(buf1), new Uint8Array(buf2)) === 0;\n}\nfunction isEqualBoxedPrimitive(val1, val2) {\n  if (isNumberObject(val1)) {\n    return isNumberObject(val2) && objectIs(Number.prototype.valueOf.call(val1), Number.prototype.valueOf.call(val2));\n  }\n  if (isStringObject(val1)) {\n    return isStringObject(val2) && String.prototype.valueOf.call(val1) === String.prototype.valueOf.call(val2);\n  }\n  if (isBooleanObject(val1)) {\n    return isBooleanObject(val2) && Boolean.prototype.valueOf.call(val1) === Boolean.prototype.valueOf.call(val2);\n  }\n  if (isBigIntObject(val1)) {\n    return isBigIntObject(val2) && BigInt.prototype.valueOf.call(val1) === BigInt.prototype.valueOf.call(val2);\n  }\n  return isSymbolObject(val2) && Symbol.prototype.valueOf.call(val1) === Symbol.prototype.valueOf.call(val2);\n} // Notes: Type tags are historical [[Class]] properties that can be set by\n// FunctionTemplate::SetClassName() in C++ or Symbol.toStringTag in JS\n// and retrieved using Object.prototype.toString.call(obj) in JS\n// See https://tc39.github.io/ecma262/#sec-object.prototype.tostring\n// for a list of tags pre-defined in the spec.\n// There are some unspecified tags in the wild too (e.g. typed array tags).\n// Since tags can be altered, they only serve fast failures\n//\n// Typed arrays and buffers are checked by comparing the content in their\n// underlying ArrayBuffer. This optimization requires that it's\n// reasonable to interpret their underlying memory in the same way,\n// which is checked by comparing their type tags.\n// (e.g. a Uint8Array and a Uint16Array with the same memory content\n// could still be different because they will be interpreted differently).\n//\n// For strict comparison, objects should have\n// a) The same built-in type tags\n// b) The same prototypes.\n\nfunction innerDeepEqual(val1, val2, strict, memos) {\n  // All identical values are equivalent, as determined by ===.\n  if (val1 === val2) {\n    if (val1 !== 0) return true;\n    return strict ? objectIs(val1, val2) : true;\n  } // Check more closely if val1 and val2 are equal.\n\n  if (strict) {\n    if (_typeof(val1) !== 'object') {\n      return typeof val1 === 'number' && numberIsNaN(val1) && numberIsNaN(val2);\n    }\n    if (_typeof(val2) !== 'object' || val1 === null || val2 === null) {\n      return false;\n    }\n    if (Object.getPrototypeOf(val1) !== Object.getPrototypeOf(val2)) {\n      return false;\n    }\n  } else {\n    if (val1 === null || _typeof(val1) !== 'object') {\n      if (val2 === null || _typeof(val2) !== 'object') {\n        // eslint-disable-next-line eqeqeq\n        return val1 == val2;\n      }\n      return false;\n    }\n    if (val2 === null || _typeof(val2) !== 'object') {\n      return false;\n    }\n  }\n  var val1Tag = objectToString(val1);\n  var val2Tag = objectToString(val2);\n  if (val1Tag !== val2Tag) {\n    return false;\n  }\n  if (Array.isArray(val1)) {\n    // Check for sparse arrays and general fast path\n    if (val1.length !== val2.length) {\n      return false;\n    }\n    var keys1 = getOwnNonIndexProperties(val1, ONLY_ENUMERABLE);\n    var keys2 = getOwnNonIndexProperties(val2, ONLY_ENUMERABLE);\n    if (keys1.length !== keys2.length) {\n      return false;\n    }\n    return keyCheck(val1, val2, strict, memos, kIsArray, keys1);\n  } // [browserify] This triggers on certain types in IE (Map/Set) so we don't\n  // wan't to early return out of the rest of the checks. However we can check\n  // if the second value is one of these values and the first isn't.\n\n  if (val1Tag === '[object Object]') {\n    // return keyCheck(val1, val2, strict, memos, kNoIterator);\n    if (!isMap(val1) && isMap(val2) || !isSet(val1) && isSet(val2)) {\n      return false;\n    }\n  }\n  if (isDate(val1)) {\n    if (!isDate(val2) || Date.prototype.getTime.call(val1) !== Date.prototype.getTime.call(val2)) {\n      return false;\n    }\n  } else if (isRegExp(val1)) {\n    if (!isRegExp(val2) || !areSimilarRegExps(val1, val2)) {\n      return false;\n    }\n  } else if (isNativeError(val1) || val1 instanceof Error) {\n    // Do not compare the stack as it might differ even though the error itself\n    // is otherwise identical.\n    if (val1.message !== val2.message || val1.name !== val2.name) {\n      return false;\n    }\n  } else if (isArrayBufferView(val1)) {\n    if (!strict && (isFloat32Array(val1) || isFloat64Array(val1))) {\n      if (!areSimilarFloatArrays(val1, val2)) {\n        return false;\n      }\n    } else if (!areSimilarTypedArrays(val1, val2)) {\n      return false;\n    } // Buffer.compare returns true, so val1.length === val2.length. If they both\n    // only contain numeric keys, we don't need to exam further than checking\n    // the symbols.\n\n    var _keys = getOwnNonIndexProperties(val1, ONLY_ENUMERABLE);\n    var _keys2 = getOwnNonIndexProperties(val2, ONLY_ENUMERABLE);\n    if (_keys.length !== _keys2.length) {\n      return false;\n    }\n    return keyCheck(val1, val2, strict, memos, kNoIterator, _keys);\n  } else if (isSet(val1)) {\n    if (!isSet(val2) || val1.size !== val2.size) {\n      return false;\n    }\n    return keyCheck(val1, val2, strict, memos, kIsSet);\n  } else if (isMap(val1)) {\n    if (!isMap(val2) || val1.size !== val2.size) {\n      return false;\n    }\n    return keyCheck(val1, val2, strict, memos, kIsMap);\n  } else if (isAnyArrayBuffer(val1)) {\n    if (!areEqualArrayBuffers(val1, val2)) {\n      return false;\n    }\n  } else if (isBoxedPrimitive(val1) && !isEqualBoxedPrimitive(val1, val2)) {\n    return false;\n  }\n  return keyCheck(val1, val2, strict, memos, kNoIterator);\n}\nfunction getEnumerables(val, keys) {\n  return keys.filter(function (k) {\n    return propertyIsEnumerable(val, k);\n  });\n}\nfunction keyCheck(val1, val2, strict, memos, iterationType, aKeys) {\n  // For all remaining Object pairs, including Array, objects and Maps,\n  // equivalence is determined by having:\n  // a) The same number of owned enumerable properties\n  // b) The same set of keys/indexes (although not necessarily the same order)\n  // c) Equivalent values for every corresponding key/index\n  // d) For Sets and Maps, equal contents\n  // Note: this accounts for both named and indexed properties on Arrays.\n  if (arguments.length === 5) {\n    aKeys = Object.keys(val1);\n    var bKeys = Object.keys(val2); // The pair must have the same number of owned properties.\n\n    if (aKeys.length !== bKeys.length) {\n      return false;\n    }\n  } // Cheap key test\n\n  var i = 0;\n  for (; i < aKeys.length; i++) {\n    if (!hasOwnProperty(val2, aKeys[i])) {\n      return false;\n    }\n  }\n  if (strict && arguments.length === 5) {\n    var symbolKeysA = objectGetOwnPropertySymbols(val1);\n    if (symbolKeysA.length !== 0) {\n      var count = 0;\n      for (i = 0; i < symbolKeysA.length; i++) {\n        var key = symbolKeysA[i];\n        if (propertyIsEnumerable(val1, key)) {\n          if (!propertyIsEnumerable(val2, key)) {\n            return false;\n          }\n          aKeys.push(key);\n          count++;\n        } else if (propertyIsEnumerable(val2, key)) {\n          return false;\n        }\n      }\n      var symbolKeysB = objectGetOwnPropertySymbols(val2);\n      if (symbolKeysA.length !== symbolKeysB.length && getEnumerables(val2, symbolKeysB).length !== count) {\n        return false;\n      }\n    } else {\n      var _symbolKeysB = objectGetOwnPropertySymbols(val2);\n      if (_symbolKeysB.length !== 0 && getEnumerables(val2, _symbolKeysB).length !== 0) {\n        return false;\n      }\n    }\n  }\n  if (aKeys.length === 0 && (iterationType === kNoIterator || iterationType === kIsArray && val1.length === 0 || val1.size === 0)) {\n    return true;\n  } // Use memos to handle cycles.\n\n  if (memos === undefined) {\n    memos = {\n      val1: new Map(),\n      val2: new Map(),\n      position: 0\n    };\n  } else {\n    // We prevent up to two map.has(x) calls by directly retrieving the value\n    // and checking for undefined. The map can only contain numbers, so it is\n    // safe to check for undefined only.\n    var val2MemoA = memos.val1.get(val1);\n    if (val2MemoA !== undefined) {\n      var val2MemoB = memos.val2.get(val2);\n      if (val2MemoB !== undefined) {\n        return val2MemoA === val2MemoB;\n      }\n    }\n    memos.position++;\n  }\n  memos.val1.set(val1, memos.position);\n  memos.val2.set(val2, memos.position);\n  var areEq = objEquiv(val1, val2, strict, aKeys, memos, iterationType);\n  memos.val1.delete(val1);\n  memos.val2.delete(val2);\n  return areEq;\n}\nfunction setHasEqualElement(set, val1, strict, memo) {\n  // Go looking.\n  var setValues = arrayFromSet(set);\n  for (var i = 0; i < setValues.length; i++) {\n    var val2 = setValues[i];\n    if (innerDeepEqual(val1, val2, strict, memo)) {\n      // Remove the matching element to make sure we do not check that again.\n      set.delete(val2);\n      return true;\n    }\n  }\n  return false;\n} // See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Equality_comparisons_and_sameness#Loose_equality_using\n// Sadly it is not possible to detect corresponding values properly in case the\n// type is a string, number, bigint or boolean. The reason is that those values\n// can match lots of different string values (e.g., 1n == '+00001').\n\nfunction findLooseMatchingPrimitives(prim) {\n  switch (_typeof(prim)) {\n    case 'undefined':\n      return null;\n    case 'object':\n      // Only pass in null as object!\n      return undefined;\n    case 'symbol':\n      return false;\n    case 'string':\n      prim = +prim;\n    // Loose equal entries exist only if the string is possible to convert to\n    // a regular number and not NaN.\n    // Fall through\n\n    case 'number':\n      if (numberIsNaN(prim)) {\n        return false;\n      }\n  }\n  return true;\n}\nfunction setMightHaveLoosePrim(a, b, prim) {\n  var altValue = findLooseMatchingPrimitives(prim);\n  if (altValue != null) return altValue;\n  return b.has(altValue) && !a.has(altValue);\n}\nfunction mapMightHaveLoosePrim(a, b, prim, item, memo) {\n  var altValue = findLooseMatchingPrimitives(prim);\n  if (altValue != null) {\n    return altValue;\n  }\n  var curB = b.get(altValue);\n  if (curB === undefined && !b.has(altValue) || !innerDeepEqual(item, curB, false, memo)) {\n    return false;\n  }\n  return !a.has(altValue) && innerDeepEqual(item, curB, false, memo);\n}\nfunction setEquiv(a, b, strict, memo) {\n  // This is a lazily initiated Set of entries which have to be compared\n  // pairwise.\n  var set = null;\n  var aValues = arrayFromSet(a);\n  for (var i = 0; i < aValues.length; i++) {\n    var val = aValues[i]; // Note: Checking for the objects first improves the performance for object\n    // heavy sets but it is a minor slow down for primitives. As they are fast\n    // to check this improves the worst case scenario instead.\n\n    if (_typeof(val) === 'object' && val !== null) {\n      if (set === null) {\n        set = new Set();\n      } // If the specified value doesn't exist in the second set its an not null\n      // object (or non strict only: a not matching primitive) we'll need to go\n      // hunting for something thats deep-(strict-)equal to it. To make this\n      // O(n log n) complexity we have to copy these values in a new set first.\n\n      set.add(val);\n    } else if (!b.has(val)) {\n      if (strict) return false; // Fast path to detect missing string, symbol, undefined and null values.\n\n      if (!setMightHaveLoosePrim(a, b, val)) {\n        return false;\n      }\n      if (set === null) {\n        set = new Set();\n      }\n      set.add(val);\n    }\n  }\n  if (set !== null) {\n    var bValues = arrayFromSet(b);\n    for (var _i = 0; _i < bValues.length; _i++) {\n      var _val = bValues[_i]; // We have to check if a primitive value is already\n      // matching and only if it's not, go hunting for it.\n\n      if (_typeof(_val) === 'object' && _val !== null) {\n        if (!setHasEqualElement(set, _val, strict, memo)) return false;\n      } else if (!strict && !a.has(_val) && !setHasEqualElement(set, _val, strict, memo)) {\n        return false;\n      }\n    }\n    return set.size === 0;\n  }\n  return true;\n}\nfunction mapHasEqualEntry(set, map, key1, item1, strict, memo) {\n  // To be able to handle cases like:\n  //   Map([[{}, 'a'], [{}, 'b']]) vs Map([[{}, 'b'], [{}, 'a']])\n  // ... we need to consider *all* matching keys, not just the first we find.\n  var setValues = arrayFromSet(set);\n  for (var i = 0; i < setValues.length; i++) {\n    var key2 = setValues[i];\n    if (innerDeepEqual(key1, key2, strict, memo) && innerDeepEqual(item1, map.get(key2), strict, memo)) {\n      set.delete(key2);\n      return true;\n    }\n  }\n  return false;\n}\nfunction mapEquiv(a, b, strict, memo) {\n  var set = null;\n  var aEntries = arrayFromMap(a);\n  for (var i = 0; i < aEntries.length; i++) {\n    var _aEntries$i = _slicedToArray(aEntries[i], 2),\n      key = _aEntries$i[0],\n      item1 = _aEntries$i[1];\n    if (_typeof(key) === 'object' && key !== null) {\n      if (set === null) {\n        set = new Set();\n      }\n      set.add(key);\n    } else {\n      // By directly retrieving the value we prevent another b.has(key) check in\n      // almost all possible cases.\n      var item2 = b.get(key);\n      if (item2 === undefined && !b.has(key) || !innerDeepEqual(item1, item2, strict, memo)) {\n        if (strict) return false; // Fast path to detect missing string, symbol, undefined and null\n        // keys.\n\n        if (!mapMightHaveLoosePrim(a, b, key, item1, memo)) return false;\n        if (set === null) {\n          set = new Set();\n        }\n        set.add(key);\n      }\n    }\n  }\n  if (set !== null) {\n    var bEntries = arrayFromMap(b);\n    for (var _i2 = 0; _i2 < bEntries.length; _i2++) {\n      var _bEntries$_i = _slicedToArray(bEntries[_i2], 2),\n        key = _bEntries$_i[0],\n        item = _bEntries$_i[1];\n      if (_typeof(key) === 'object' && key !== null) {\n        if (!mapHasEqualEntry(set, a, key, item, strict, memo)) return false;\n      } else if (!strict && (!a.has(key) || !innerDeepEqual(a.get(key), item, false, memo)) && !mapHasEqualEntry(set, a, key, item, false, memo)) {\n        return false;\n      }\n    }\n    return set.size === 0;\n  }\n  return true;\n}\nfunction objEquiv(a, b, strict, keys, memos, iterationType) {\n  // Sets and maps don't have their entries accessible via normal object\n  // properties.\n  var i = 0;\n  if (iterationType === kIsSet) {\n    if (!setEquiv(a, b, strict, memos)) {\n      return false;\n    }\n  } else if (iterationType === kIsMap) {\n    if (!mapEquiv(a, b, strict, memos)) {\n      return false;\n    }\n  } else if (iterationType === kIsArray) {\n    for (; i < a.length; i++) {\n      if (hasOwnProperty(a, i)) {\n        if (!hasOwnProperty(b, i) || !innerDeepEqual(a[i], b[i], strict, memos)) {\n          return false;\n        }\n      } else if (hasOwnProperty(b, i)) {\n        return false;\n      } else {\n        // Array is sparse.\n        var keysA = Object.keys(a);\n        for (; i < keysA.length; i++) {\n          var key = keysA[i];\n          if (!hasOwnProperty(b, key) || !innerDeepEqual(a[key], b[key], strict, memos)) {\n            return false;\n          }\n        }\n        if (keysA.length !== Object.keys(b).length) {\n          return false;\n        }\n        return true;\n      }\n    }\n  } // The pair must have equivalent values for every corresponding key.\n  // Possibly expensive deep test:\n\n  for (i = 0; i < keys.length; i++) {\n    var _key = keys[i];\n    if (!innerDeepEqual(a[_key], b[_key], strict, memos)) {\n      return false;\n    }\n  }\n  return true;\n}\nfunction isDeepEqual(val1, val2) {\n  return innerDeepEqual(val1, val2, kLoose);\n}\nfunction isDeepStrictEqual(val1, val2) {\n  return innerDeepEqual(val1, val2, kStrict);\n}\nmodule.exports = {\n  isDeepEqual: isDeepEqual,\n  isDeepStrictEqual: isDeepStrictEqual\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/node-polyfill-webpack-plugin/node_modules/assert/build/internal/util/comparisons.js?");
-
-/***/ }),
-
-/***/ "./node_modules/node-polyfill-webpack-plugin/node_modules/buffer/index.js":
-/*!********************************************************************************!*\
-  !*** ./node_modules/node-polyfill-webpack-plugin/node_modules/buffer/index.js ***!
-  \********************************************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
-eval("/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\n/*!\n * The buffer module from node.js, for the browser.\n *\n * @author   Feross Aboukhadijeh <https://feross.org>\n * @license  MIT\n */\n/* eslint-disable no-proto */\n\n\n\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\nconst base64 = __webpack_require__(/*! base64-js */ \"./node_modules/base64-js/index.js\");\nconst ieee754 = __webpack_require__(/*! ieee754 */ \"./node_modules/ieee754/index.js\");\nconst customInspectSymbol = typeof Symbol === 'function' && typeof Symbol['for'] === 'function' // eslint-disable-line dot-notation\n? Symbol['for']('nodejs.util.inspect.custom') // eslint-disable-line dot-notation\n: null;\nexports.Buffer = Buffer;\nexports.SlowBuffer = SlowBuffer;\nexports.INSPECT_MAX_BYTES = 50;\nconst K_MAX_LENGTH = 0x7fffffff;\nexports.kMaxLength = K_MAX_LENGTH;\n\n/**\n * If `Buffer.TYPED_ARRAY_SUPPORT`:\n *   === true    Use Uint8Array implementation (fastest)\n *   === false   Print warning and recommend using `buffer` v4.x which has an Object\n *               implementation (most compatible, even IE6)\n *\n * Browsers that support typed arrays are IE 10+, Firefox 4+, Chrome 7+, Safari 5.1+,\n * Opera 11.6+, iOS 4.2+.\n *\n * We report that the browser does not support typed arrays if the are not subclassable\n * using __proto__. Firefox 4-29 lacks support for adding new properties to `Uint8Array`\n * (See: https://bugzilla.mozilla.org/show_bug.cgi?id=695438). IE 10 lacks support\n * for __proto__ and has a buggy typed array implementation.\n */\nBuffer.TYPED_ARRAY_SUPPORT = typedArraySupport();\nif (!Buffer.TYPED_ARRAY_SUPPORT && typeof console !== 'undefined' && typeof console.error === 'function') {\n  console.error('This browser lacks typed array (Uint8Array) support which is required by ' + '`buffer` v5.x. Use `buffer` v4.x if you require old browser support.');\n}\nfunction typedArraySupport() {\n  // Can typed array instances can be augmented?\n  try {\n    const arr = new Uint8Array(1);\n    const proto = {\n      foo: function () {\n        return 42;\n      }\n    };\n    Object.setPrototypeOf(proto, Uint8Array.prototype);\n    Object.setPrototypeOf(arr, proto);\n    return arr.foo() === 42;\n  } catch (e) {\n    return false;\n  }\n}\nObject.defineProperty(Buffer.prototype, 'parent', {\n  enumerable: true,\n  get: function () {\n    if (!Buffer.isBuffer(this)) return undefined;\n    return this.buffer;\n  }\n});\nObject.defineProperty(Buffer.prototype, 'offset', {\n  enumerable: true,\n  get: function () {\n    if (!Buffer.isBuffer(this)) return undefined;\n    return this.byteOffset;\n  }\n});\nfunction createBuffer(length) {\n  if (length > K_MAX_LENGTH) {\n    throw new RangeError('The value \"' + length + '\" is invalid for option \"size\"');\n  }\n  // Return an augmented `Uint8Array` instance\n  const buf = new Uint8Array(length);\n  Object.setPrototypeOf(buf, Buffer.prototype);\n  return buf;\n}\n\n/**\n * The Buffer constructor returns instances of `Uint8Array` that have their\n * prototype changed to `Buffer.prototype`. Furthermore, `Buffer` is a subclass of\n * `Uint8Array`, so the returned instances will have all the node `Buffer` methods\n * and the `Uint8Array` methods. Square bracket notation works as expected -- it\n * returns a single octet.\n *\n * The `Uint8Array` prototype remains unmodified.\n */\n\nfunction Buffer(arg, encodingOrOffset, length) {\n  // Common case.\n  if (typeof arg === 'number') {\n    if (typeof encodingOrOffset === 'string') {\n      throw new TypeError('The \"string\" argument must be of type string. Received type number');\n    }\n    return allocUnsafe(arg);\n  }\n  return from(arg, encodingOrOffset, length);\n}\nBuffer.poolSize = 8192; // not used by this implementation\n\nfunction from(value, encodingOrOffset, length) {\n  if (typeof value === 'string') {\n    return fromString(value, encodingOrOffset);\n  }\n  if (ArrayBuffer.isView(value)) {\n    return fromArrayView(value);\n  }\n  if (value == null) {\n    throw new TypeError('The first argument must be one of type string, Buffer, ArrayBuffer, Array, ' + 'or Array-like Object. Received type ' + typeof value);\n  }\n  if (isInstance(value, ArrayBuffer) || value && isInstance(value.buffer, ArrayBuffer)) {\n    return fromArrayBuffer(value, encodingOrOffset, length);\n  }\n  if (typeof SharedArrayBuffer !== 'undefined' && (isInstance(value, SharedArrayBuffer) || value && isInstance(value.buffer, SharedArrayBuffer))) {\n    return fromArrayBuffer(value, encodingOrOffset, length);\n  }\n  if (typeof value === 'number') {\n    throw new TypeError('The \"value\" argument must not be of type number. Received type number');\n  }\n  const valueOf = value.valueOf && value.valueOf();\n  if (valueOf != null && valueOf !== value) {\n    return Buffer.from(valueOf, encodingOrOffset, length);\n  }\n  const b = fromObject(value);\n  if (b) return b;\n  if (typeof Symbol !== 'undefined' && Symbol.toPrimitive != null && typeof value[Symbol.toPrimitive] === 'function') {\n    return Buffer.from(value[Symbol.toPrimitive]('string'), encodingOrOffset, length);\n  }\n  throw new TypeError('The first argument must be one of type string, Buffer, ArrayBuffer, Array, ' + 'or Array-like Object. Received type ' + typeof value);\n}\n\n/**\n * Functionally equivalent to Buffer(arg, encoding) but throws a TypeError\n * if value is a number.\n * Buffer.from(str[, encoding])\n * Buffer.from(array)\n * Buffer.from(buffer)\n * Buffer.from(arrayBuffer[, byteOffset[, length]])\n **/\nBuffer.from = function (value, encodingOrOffset, length) {\n  return from(value, encodingOrOffset, length);\n};\n\n// Note: Change prototype *after* Buffer.from is defined to workaround Chrome bug:\n// https://github.com/feross/buffer/pull/148\nObject.setPrototypeOf(Buffer.prototype, Uint8Array.prototype);\nObject.setPrototypeOf(Buffer, Uint8Array);\nfunction assertSize(size) {\n  if (typeof size !== 'number') {\n    throw new TypeError('\"size\" argument must be of type number');\n  } else if (size < 0) {\n    throw new RangeError('The value \"' + size + '\" is invalid for option \"size\"');\n  }\n}\nfunction alloc(size, fill, encoding) {\n  assertSize(size);\n  if (size <= 0) {\n    return createBuffer(size);\n  }\n  if (fill !== undefined) {\n    // Only pay attention to encoding if it's a string. This\n    // prevents accidentally sending in a number that would\n    // be interpreted as a start offset.\n    return typeof encoding === 'string' ? createBuffer(size).fill(fill, encoding) : createBuffer(size).fill(fill);\n  }\n  return createBuffer(size);\n}\n\n/**\n * Creates a new filled Buffer instance.\n * alloc(size[, fill[, encoding]])\n **/\nBuffer.alloc = function (size, fill, encoding) {\n  return alloc(size, fill, encoding);\n};\nfunction allocUnsafe(size) {\n  assertSize(size);\n  return createBuffer(size < 0 ? 0 : checked(size) | 0);\n}\n\n/**\n * Equivalent to Buffer(num), by default creates a non-zero-filled Buffer instance.\n * */\nBuffer.allocUnsafe = function (size) {\n  return allocUnsafe(size);\n};\n/**\n * Equivalent to SlowBuffer(num), by default creates a non-zero-filled Buffer instance.\n */\nBuffer.allocUnsafeSlow = function (size) {\n  return allocUnsafe(size);\n};\nfunction fromString(string, encoding) {\n  if (typeof encoding !== 'string' || encoding === '') {\n    encoding = 'utf8';\n  }\n  if (!Buffer.isEncoding(encoding)) {\n    throw new TypeError('Unknown encoding: ' + encoding);\n  }\n  const length = byteLength(string, encoding) | 0;\n  let buf = createBuffer(length);\n  const actual = buf.write(string, encoding);\n  if (actual !== length) {\n    // Writing a hex string, for example, that contains invalid characters will\n    // cause everything after the first invalid character to be ignored. (e.g.\n    // 'abxxcd' will be treated as 'ab')\n    buf = buf.slice(0, actual);\n  }\n  return buf;\n}\nfunction fromArrayLike(array) {\n  const length = array.length < 0 ? 0 : checked(array.length) | 0;\n  const buf = createBuffer(length);\n  for (let i = 0; i < length; i += 1) {\n    buf[i] = array[i] & 255;\n  }\n  return buf;\n}\nfunction fromArrayView(arrayView) {\n  if (isInstance(arrayView, Uint8Array)) {\n    const copy = new Uint8Array(arrayView);\n    return fromArrayBuffer(copy.buffer, copy.byteOffset, copy.byteLength);\n  }\n  return fromArrayLike(arrayView);\n}\nfunction fromArrayBuffer(array, byteOffset, length) {\n  if (byteOffset < 0 || array.byteLength < byteOffset) {\n    throw new RangeError('\"offset\" is outside of buffer bounds');\n  }\n  if (array.byteLength < byteOffset + (length || 0)) {\n    throw new RangeError('\"length\" is outside of buffer bounds');\n  }\n  let buf;\n  if (byteOffset === undefined && length === undefined) {\n    buf = new Uint8Array(array);\n  } else if (length === undefined) {\n    buf = new Uint8Array(array, byteOffset);\n  } else {\n    buf = new Uint8Array(array, byteOffset, length);\n  }\n\n  // Return an augmented `Uint8Array` instance\n  Object.setPrototypeOf(buf, Buffer.prototype);\n  return buf;\n}\nfunction fromObject(obj) {\n  if (Buffer.isBuffer(obj)) {\n    const len = checked(obj.length) | 0;\n    const buf = createBuffer(len);\n    if (buf.length === 0) {\n      return buf;\n    }\n    obj.copy(buf, 0, 0, len);\n    return buf;\n  }\n  if (obj.length !== undefined) {\n    if (typeof obj.length !== 'number' || numberIsNaN(obj.length)) {\n      return createBuffer(0);\n    }\n    return fromArrayLike(obj);\n  }\n  if (obj.type === 'Buffer' && Array.isArray(obj.data)) {\n    return fromArrayLike(obj.data);\n  }\n}\nfunction checked(length) {\n  // Note: cannot use `length < K_MAX_LENGTH` here because that fails when\n  // length is NaN (which is otherwise coerced to zero.)\n  if (length >= K_MAX_LENGTH) {\n    throw new RangeError('Attempt to allocate Buffer larger than maximum ' + 'size: 0x' + K_MAX_LENGTH.toString(16) + ' bytes');\n  }\n  return length | 0;\n}\nfunction SlowBuffer(length) {\n  if (+length != length) {\n    // eslint-disable-line eqeqeq\n    length = 0;\n  }\n  return Buffer.alloc(+length);\n}\nBuffer.isBuffer = function isBuffer(b) {\n  return b != null && b._isBuffer === true && b !== Buffer.prototype; // so Buffer.isBuffer(Buffer.prototype) will be false\n};\n\nBuffer.compare = function compare(a, b) {\n  if (isInstance(a, Uint8Array)) a = Buffer.from(a, a.offset, a.byteLength);\n  if (isInstance(b, Uint8Array)) b = Buffer.from(b, b.offset, b.byteLength);\n  if (!Buffer.isBuffer(a) || !Buffer.isBuffer(b)) {\n    throw new TypeError('The \"buf1\", \"buf2\" arguments must be one of type Buffer or Uint8Array');\n  }\n  if (a === b) return 0;\n  let x = a.length;\n  let y = b.length;\n  for (let i = 0, len = Math.min(x, y); i < len; ++i) {\n    if (a[i] !== b[i]) {\n      x = a[i];\n      y = b[i];\n      break;\n    }\n  }\n  if (x < y) return -1;\n  if (y < x) return 1;\n  return 0;\n};\nBuffer.isEncoding = function isEncoding(encoding) {\n  switch (String(encoding).toLowerCase()) {\n    case 'hex':\n    case 'utf8':\n    case 'utf-8':\n    case 'ascii':\n    case 'latin1':\n    case 'binary':\n    case 'base64':\n    case 'ucs2':\n    case 'ucs-2':\n    case 'utf16le':\n    case 'utf-16le':\n      return true;\n    default:\n      return false;\n  }\n};\nBuffer.concat = function concat(list, length) {\n  if (!Array.isArray(list)) {\n    throw new TypeError('\"list\" argument must be an Array of Buffers');\n  }\n  if (list.length === 0) {\n    return Buffer.alloc(0);\n  }\n  let i;\n  if (length === undefined) {\n    length = 0;\n    for (i = 0; i < list.length; ++i) {\n      length += list[i].length;\n    }\n  }\n  const buffer = Buffer.allocUnsafe(length);\n  let pos = 0;\n  for (i = 0; i < list.length; ++i) {\n    let buf = list[i];\n    if (isInstance(buf, Uint8Array)) {\n      if (pos + buf.length > buffer.length) {\n        if (!Buffer.isBuffer(buf)) buf = Buffer.from(buf);\n        buf.copy(buffer, pos);\n      } else {\n        Uint8Array.prototype.set.call(buffer, buf, pos);\n      }\n    } else if (!Buffer.isBuffer(buf)) {\n      throw new TypeError('\"list\" argument must be an Array of Buffers');\n    } else {\n      buf.copy(buffer, pos);\n    }\n    pos += buf.length;\n  }\n  return buffer;\n};\nfunction byteLength(string, encoding) {\n  if (Buffer.isBuffer(string)) {\n    return string.length;\n  }\n  if (ArrayBuffer.isView(string) || isInstance(string, ArrayBuffer)) {\n    return string.byteLength;\n  }\n  if (typeof string !== 'string') {\n    throw new TypeError('The \"string\" argument must be one of type string, Buffer, or ArrayBuffer. ' + 'Received type ' + typeof string);\n  }\n  const len = string.length;\n  const mustMatch = arguments.length > 2 && arguments[2] === true;\n  if (!mustMatch && len === 0) return 0;\n\n  // Use a for loop to avoid recursion\n  let loweredCase = false;\n  for (;;) {\n    switch (encoding) {\n      case 'ascii':\n      case 'latin1':\n      case 'binary':\n        return len;\n      case 'utf8':\n      case 'utf-8':\n        return utf8ToBytes(string).length;\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return len * 2;\n      case 'hex':\n        return len >>> 1;\n      case 'base64':\n        return base64ToBytes(string).length;\n      default:\n        if (loweredCase) {\n          return mustMatch ? -1 : utf8ToBytes(string).length; // assume utf8\n        }\n\n        encoding = ('' + encoding).toLowerCase();\n        loweredCase = true;\n    }\n  }\n}\nBuffer.byteLength = byteLength;\nfunction slowToString(encoding, start, end) {\n  let loweredCase = false;\n\n  // No need to verify that \"this.length <= MAX_UINT32\" since it's a read-only\n  // property of a typed array.\n\n  // This behaves neither like String nor Uint8Array in that we set start/end\n  // to their upper/lower bounds if the value passed is out of range.\n  // undefined is handled specially as per ECMA-262 6th Edition,\n  // Section 13.3.3.7 Runtime Semantics: KeyedBindingInitialization.\n  if (start === undefined || start < 0) {\n    start = 0;\n  }\n  // Return early if start > this.length. Done here to prevent potential uint32\n  // coercion fail below.\n  if (start > this.length) {\n    return '';\n  }\n  if (end === undefined || end > this.length) {\n    end = this.length;\n  }\n  if (end <= 0) {\n    return '';\n  }\n\n  // Force coercion to uint32. This will also coerce falsey/NaN values to 0.\n  end >>>= 0;\n  start >>>= 0;\n  if (end <= start) {\n    return '';\n  }\n  if (!encoding) encoding = 'utf8';\n  while (true) {\n    switch (encoding) {\n      case 'hex':\n        return hexSlice(this, start, end);\n      case 'utf8':\n      case 'utf-8':\n        return utf8Slice(this, start, end);\n      case 'ascii':\n        return asciiSlice(this, start, end);\n      case 'latin1':\n      case 'binary':\n        return latin1Slice(this, start, end);\n      case 'base64':\n        return base64Slice(this, start, end);\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return utf16leSlice(this, start, end);\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding);\n        encoding = (encoding + '').toLowerCase();\n        loweredCase = true;\n    }\n  }\n}\n\n// This property is used by `Buffer.isBuffer` (and the `is-buffer` npm package)\n// to detect a Buffer instance. It's not possible to use `instanceof Buffer`\n// reliably in a browserify context because there could be multiple different\n// copies of the 'buffer' package in use. This method works even for Buffer\n// instances that were created from another copy of the `buffer` package.\n// See: https://github.com/feross/buffer/issues/154\nBuffer.prototype._isBuffer = true;\nfunction swap(b, n, m) {\n  const i = b[n];\n  b[n] = b[m];\n  b[m] = i;\n}\nBuffer.prototype.swap16 = function swap16() {\n  const len = this.length;\n  if (len % 2 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 16-bits');\n  }\n  for (let i = 0; i < len; i += 2) {\n    swap(this, i, i + 1);\n  }\n  return this;\n};\nBuffer.prototype.swap32 = function swap32() {\n  const len = this.length;\n  if (len % 4 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 32-bits');\n  }\n  for (let i = 0; i < len; i += 4) {\n    swap(this, i, i + 3);\n    swap(this, i + 1, i + 2);\n  }\n  return this;\n};\nBuffer.prototype.swap64 = function swap64() {\n  const len = this.length;\n  if (len % 8 !== 0) {\n    throw new RangeError('Buffer size must be a multiple of 64-bits');\n  }\n  for (let i = 0; i < len; i += 8) {\n    swap(this, i, i + 7);\n    swap(this, i + 1, i + 6);\n    swap(this, i + 2, i + 5);\n    swap(this, i + 3, i + 4);\n  }\n  return this;\n};\nBuffer.prototype.toString = function toString() {\n  const length = this.length;\n  if (length === 0) return '';\n  if (arguments.length === 0) return utf8Slice(this, 0, length);\n  return slowToString.apply(this, arguments);\n};\nBuffer.prototype.toLocaleString = Buffer.prototype.toString;\nBuffer.prototype.equals = function equals(b) {\n  if (!Buffer.isBuffer(b)) throw new TypeError('Argument must be a Buffer');\n  if (this === b) return true;\n  return Buffer.compare(this, b) === 0;\n};\nBuffer.prototype.inspect = function inspect() {\n  let str = '';\n  const max = exports.INSPECT_MAX_BYTES;\n  str = this.toString('hex', 0, max).replace(/(.{2})/g, '$1 ').trim();\n  if (this.length > max) str += ' ... ';\n  return '<Buffer ' + str + '>';\n};\nif (customInspectSymbol) {\n  Buffer.prototype[customInspectSymbol] = Buffer.prototype.inspect;\n}\nBuffer.prototype.compare = function compare(target, start, end, thisStart, thisEnd) {\n  if (isInstance(target, Uint8Array)) {\n    target = Buffer.from(target, target.offset, target.byteLength);\n  }\n  if (!Buffer.isBuffer(target)) {\n    throw new TypeError('The \"target\" argument must be one of type Buffer or Uint8Array. ' + 'Received type ' + typeof target);\n  }\n  if (start === undefined) {\n    start = 0;\n  }\n  if (end === undefined) {\n    end = target ? target.length : 0;\n  }\n  if (thisStart === undefined) {\n    thisStart = 0;\n  }\n  if (thisEnd === undefined) {\n    thisEnd = this.length;\n  }\n  if (start < 0 || end > target.length || thisStart < 0 || thisEnd > this.length) {\n    throw new RangeError('out of range index');\n  }\n  if (thisStart >= thisEnd && start >= end) {\n    return 0;\n  }\n  if (thisStart >= thisEnd) {\n    return -1;\n  }\n  if (start >= end) {\n    return 1;\n  }\n  start >>>= 0;\n  end >>>= 0;\n  thisStart >>>= 0;\n  thisEnd >>>= 0;\n  if (this === target) return 0;\n  let x = thisEnd - thisStart;\n  let y = end - start;\n  const len = Math.min(x, y);\n  const thisCopy = this.slice(thisStart, thisEnd);\n  const targetCopy = target.slice(start, end);\n  for (let i = 0; i < len; ++i) {\n    if (thisCopy[i] !== targetCopy[i]) {\n      x = thisCopy[i];\n      y = targetCopy[i];\n      break;\n    }\n  }\n  if (x < y) return -1;\n  if (y < x) return 1;\n  return 0;\n};\n\n// Finds either the first index of `val` in `buffer` at offset >= `byteOffset`,\n// OR the last index of `val` in `buffer` at offset <= `byteOffset`.\n//\n// Arguments:\n// - buffer - a Buffer to search\n// - val - a string, Buffer, or number\n// - byteOffset - an index into `buffer`; will be clamped to an int32\n// - encoding - an optional encoding, relevant is val is a string\n// - dir - true for indexOf, false for lastIndexOf\nfunction bidirectionalIndexOf(buffer, val, byteOffset, encoding, dir) {\n  // Empty buffer means no match\n  if (buffer.length === 0) return -1;\n\n  // Normalize byteOffset\n  if (typeof byteOffset === 'string') {\n    encoding = byteOffset;\n    byteOffset = 0;\n  } else if (byteOffset > 0x7fffffff) {\n    byteOffset = 0x7fffffff;\n  } else if (byteOffset < -0x80000000) {\n    byteOffset = -0x80000000;\n  }\n  byteOffset = +byteOffset; // Coerce to Number.\n  if (numberIsNaN(byteOffset)) {\n    // byteOffset: it it's undefined, null, NaN, \"foo\", etc, search whole buffer\n    byteOffset = dir ? 0 : buffer.length - 1;\n  }\n\n  // Normalize byteOffset: negative offsets start from the end of the buffer\n  if (byteOffset < 0) byteOffset = buffer.length + byteOffset;\n  if (byteOffset >= buffer.length) {\n    if (dir) return -1;else byteOffset = buffer.length - 1;\n  } else if (byteOffset < 0) {\n    if (dir) byteOffset = 0;else return -1;\n  }\n\n  // Normalize val\n  if (typeof val === 'string') {\n    val = Buffer.from(val, encoding);\n  }\n\n  // Finally, search either indexOf (if dir is true) or lastIndexOf\n  if (Buffer.isBuffer(val)) {\n    // Special case: looking for empty string/buffer always fails\n    if (val.length === 0) {\n      return -1;\n    }\n    return arrayIndexOf(buffer, val, byteOffset, encoding, dir);\n  } else if (typeof val === 'number') {\n    val = val & 0xFF; // Search for a byte value [0-255]\n    if (typeof Uint8Array.prototype.indexOf === 'function') {\n      if (dir) {\n        return Uint8Array.prototype.indexOf.call(buffer, val, byteOffset);\n      } else {\n        return Uint8Array.prototype.lastIndexOf.call(buffer, val, byteOffset);\n      }\n    }\n    return arrayIndexOf(buffer, [val], byteOffset, encoding, dir);\n  }\n  throw new TypeError('val must be string, number or Buffer');\n}\nfunction arrayIndexOf(arr, val, byteOffset, encoding, dir) {\n  let indexSize = 1;\n  let arrLength = arr.length;\n  let valLength = val.length;\n  if (encoding !== undefined) {\n    encoding = String(encoding).toLowerCase();\n    if (encoding === 'ucs2' || encoding === 'ucs-2' || encoding === 'utf16le' || encoding === 'utf-16le') {\n      if (arr.length < 2 || val.length < 2) {\n        return -1;\n      }\n      indexSize = 2;\n      arrLength /= 2;\n      valLength /= 2;\n      byteOffset /= 2;\n    }\n  }\n  function read(buf, i) {\n    if (indexSize === 1) {\n      return buf[i];\n    } else {\n      return buf.readUInt16BE(i * indexSize);\n    }\n  }\n  let i;\n  if (dir) {\n    let foundIndex = -1;\n    for (i = byteOffset; i < arrLength; i++) {\n      if (read(arr, i) === read(val, foundIndex === -1 ? 0 : i - foundIndex)) {\n        if (foundIndex === -1) foundIndex = i;\n        if (i - foundIndex + 1 === valLength) return foundIndex * indexSize;\n      } else {\n        if (foundIndex !== -1) i -= i - foundIndex;\n        foundIndex = -1;\n      }\n    }\n  } else {\n    if (byteOffset + valLength > arrLength) byteOffset = arrLength - valLength;\n    for (i = byteOffset; i >= 0; i--) {\n      let found = true;\n      for (let j = 0; j < valLength; j++) {\n        if (read(arr, i + j) !== read(val, j)) {\n          found = false;\n          break;\n        }\n      }\n      if (found) return i;\n    }\n  }\n  return -1;\n}\nBuffer.prototype.includes = function includes(val, byteOffset, encoding) {\n  return this.indexOf(val, byteOffset, encoding) !== -1;\n};\nBuffer.prototype.indexOf = function indexOf(val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, true);\n};\nBuffer.prototype.lastIndexOf = function lastIndexOf(val, byteOffset, encoding) {\n  return bidirectionalIndexOf(this, val, byteOffset, encoding, false);\n};\nfunction hexWrite(buf, string, offset, length) {\n  offset = Number(offset) || 0;\n  const remaining = buf.length - offset;\n  if (!length) {\n    length = remaining;\n  } else {\n    length = Number(length);\n    if (length > remaining) {\n      length = remaining;\n    }\n  }\n  const strLen = string.length;\n  if (length > strLen / 2) {\n    length = strLen / 2;\n  }\n  let i;\n  for (i = 0; i < length; ++i) {\n    const parsed = parseInt(string.substr(i * 2, 2), 16);\n    if (numberIsNaN(parsed)) return i;\n    buf[offset + i] = parsed;\n  }\n  return i;\n}\nfunction utf8Write(buf, string, offset, length) {\n  return blitBuffer(utf8ToBytes(string, buf.length - offset), buf, offset, length);\n}\nfunction asciiWrite(buf, string, offset, length) {\n  return blitBuffer(asciiToBytes(string), buf, offset, length);\n}\nfunction base64Write(buf, string, offset, length) {\n  return blitBuffer(base64ToBytes(string), buf, offset, length);\n}\nfunction ucs2Write(buf, string, offset, length) {\n  return blitBuffer(utf16leToBytes(string, buf.length - offset), buf, offset, length);\n}\nBuffer.prototype.write = function write(string, offset, length, encoding) {\n  // Buffer#write(string)\n  if (offset === undefined) {\n    encoding = 'utf8';\n    length = this.length;\n    offset = 0;\n    // Buffer#write(string, encoding)\n  } else if (length === undefined && typeof offset === 'string') {\n    encoding = offset;\n    length = this.length;\n    offset = 0;\n    // Buffer#write(string, offset[, length][, encoding])\n  } else if (isFinite(offset)) {\n    offset = offset >>> 0;\n    if (isFinite(length)) {\n      length = length >>> 0;\n      if (encoding === undefined) encoding = 'utf8';\n    } else {\n      encoding = length;\n      length = undefined;\n    }\n  } else {\n    throw new Error('Buffer.write(string, encoding, offset[, length]) is no longer supported');\n  }\n  const remaining = this.length - offset;\n  if (length === undefined || length > remaining) length = remaining;\n  if (string.length > 0 && (length < 0 || offset < 0) || offset > this.length) {\n    throw new RangeError('Attempt to write outside buffer bounds');\n  }\n  if (!encoding) encoding = 'utf8';\n  let loweredCase = false;\n  for (;;) {\n    switch (encoding) {\n      case 'hex':\n        return hexWrite(this, string, offset, length);\n      case 'utf8':\n      case 'utf-8':\n        return utf8Write(this, string, offset, length);\n      case 'ascii':\n      case 'latin1':\n      case 'binary':\n        return asciiWrite(this, string, offset, length);\n      case 'base64':\n        // Warning: maxLength not taken into account in base64Write\n        return base64Write(this, string, offset, length);\n      case 'ucs2':\n      case 'ucs-2':\n      case 'utf16le':\n      case 'utf-16le':\n        return ucs2Write(this, string, offset, length);\n      default:\n        if (loweredCase) throw new TypeError('Unknown encoding: ' + encoding);\n        encoding = ('' + encoding).toLowerCase();\n        loweredCase = true;\n    }\n  }\n};\nBuffer.prototype.toJSON = function toJSON() {\n  return {\n    type: 'Buffer',\n    data: Array.prototype.slice.call(this._arr || this, 0)\n  };\n};\nfunction base64Slice(buf, start, end) {\n  if (start === 0 && end === buf.length) {\n    return base64.fromByteArray(buf);\n  } else {\n    return base64.fromByteArray(buf.slice(start, end));\n  }\n}\nfunction utf8Slice(buf, start, end) {\n  end = Math.min(buf.length, end);\n  const res = [];\n  let i = start;\n  while (i < end) {\n    const firstByte = buf[i];\n    let codePoint = null;\n    let bytesPerSequence = firstByte > 0xEF ? 4 : firstByte > 0xDF ? 3 : firstByte > 0xBF ? 2 : 1;\n    if (i + bytesPerSequence <= end) {\n      let secondByte, thirdByte, fourthByte, tempCodePoint;\n      switch (bytesPerSequence) {\n        case 1:\n          if (firstByte < 0x80) {\n            codePoint = firstByte;\n          }\n          break;\n        case 2:\n          secondByte = buf[i + 1];\n          if ((secondByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0x1F) << 0x6 | secondByte & 0x3F;\n            if (tempCodePoint > 0x7F) {\n              codePoint = tempCodePoint;\n            }\n          }\n          break;\n        case 3:\n          secondByte = buf[i + 1];\n          thirdByte = buf[i + 2];\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0xC | (secondByte & 0x3F) << 0x6 | thirdByte & 0x3F;\n            if (tempCodePoint > 0x7FF && (tempCodePoint < 0xD800 || tempCodePoint > 0xDFFF)) {\n              codePoint = tempCodePoint;\n            }\n          }\n          break;\n        case 4:\n          secondByte = buf[i + 1];\n          thirdByte = buf[i + 2];\n          fourthByte = buf[i + 3];\n          if ((secondByte & 0xC0) === 0x80 && (thirdByte & 0xC0) === 0x80 && (fourthByte & 0xC0) === 0x80) {\n            tempCodePoint = (firstByte & 0xF) << 0x12 | (secondByte & 0x3F) << 0xC | (thirdByte & 0x3F) << 0x6 | fourthByte & 0x3F;\n            if (tempCodePoint > 0xFFFF && tempCodePoint < 0x110000) {\n              codePoint = tempCodePoint;\n            }\n          }\n      }\n    }\n    if (codePoint === null) {\n      // we did not generate a valid codePoint so insert a\n      // replacement char (U+FFFD) and advance only 1 byte\n      codePoint = 0xFFFD;\n      bytesPerSequence = 1;\n    } else if (codePoint > 0xFFFF) {\n      // encode to utf16 (surrogate pair dance)\n      codePoint -= 0x10000;\n      res.push(codePoint >>> 10 & 0x3FF | 0xD800);\n      codePoint = 0xDC00 | codePoint & 0x3FF;\n    }\n    res.push(codePoint);\n    i += bytesPerSequence;\n  }\n  return decodeCodePointsArray(res);\n}\n\n// Based on http://stackoverflow.com/a/22747272/680742, the browser with\n// the lowest limit is Chrome, with 0x10000 args.\n// We go 1 magnitude less, for safety\nconst MAX_ARGUMENTS_LENGTH = 0x1000;\nfunction decodeCodePointsArray(codePoints) {\n  const len = codePoints.length;\n  if (len <= MAX_ARGUMENTS_LENGTH) {\n    return String.fromCharCode.apply(String, codePoints); // avoid extra slice()\n  }\n\n  // Decode in chunks to avoid \"call stack size exceeded\".\n  let res = '';\n  let i = 0;\n  while (i < len) {\n    res += String.fromCharCode.apply(String, codePoints.slice(i, i += MAX_ARGUMENTS_LENGTH));\n  }\n  return res;\n}\nfunction asciiSlice(buf, start, end) {\n  let ret = '';\n  end = Math.min(buf.length, end);\n  for (let i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i] & 0x7F);\n  }\n  return ret;\n}\nfunction latin1Slice(buf, start, end) {\n  let ret = '';\n  end = Math.min(buf.length, end);\n  for (let i = start; i < end; ++i) {\n    ret += String.fromCharCode(buf[i]);\n  }\n  return ret;\n}\nfunction hexSlice(buf, start, end) {\n  const len = buf.length;\n  if (!start || start < 0) start = 0;\n  if (!end || end < 0 || end > len) end = len;\n  let out = '';\n  for (let i = start; i < end; ++i) {\n    out += hexSliceLookupTable[buf[i]];\n  }\n  return out;\n}\nfunction utf16leSlice(buf, start, end) {\n  const bytes = buf.slice(start, end);\n  let res = '';\n  // If bytes.length is odd, the last 8 bits must be ignored (same as node.js)\n  for (let i = 0; i < bytes.length - 1; i += 2) {\n    res += String.fromCharCode(bytes[i] + bytes[i + 1] * 256);\n  }\n  return res;\n}\nBuffer.prototype.slice = function slice(start, end) {\n  const len = this.length;\n  start = ~~start;\n  end = end === undefined ? len : ~~end;\n  if (start < 0) {\n    start += len;\n    if (start < 0) start = 0;\n  } else if (start > len) {\n    start = len;\n  }\n  if (end < 0) {\n    end += len;\n    if (end < 0) end = 0;\n  } else if (end > len) {\n    end = len;\n  }\n  if (end < start) end = start;\n  const newBuf = this.subarray(start, end);\n  // Return an augmented `Uint8Array` instance\n  Object.setPrototypeOf(newBuf, Buffer.prototype);\n  return newBuf;\n};\n\n/*\n * Need to make sure that buffer isn't trying to write out of bounds.\n */\nfunction checkOffset(offset, ext, length) {\n  if (offset % 1 !== 0 || offset < 0) throw new RangeError('offset is not uint');\n  if (offset + ext > length) throw new RangeError('Trying to access beyond buffer length');\n}\nBuffer.prototype.readUintLE = Buffer.prototype.readUIntLE = function readUIntLE(offset, byteLength, noAssert) {\n  offset = offset >>> 0;\n  byteLength = byteLength >>> 0;\n  if (!noAssert) checkOffset(offset, byteLength, this.length);\n  let val = this[offset];\n  let mul = 1;\n  let i = 0;\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul;\n  }\n  return val;\n};\nBuffer.prototype.readUintBE = Buffer.prototype.readUIntBE = function readUIntBE(offset, byteLength, noAssert) {\n  offset = offset >>> 0;\n  byteLength = byteLength >>> 0;\n  if (!noAssert) {\n    checkOffset(offset, byteLength, this.length);\n  }\n  let val = this[offset + --byteLength];\n  let mul = 1;\n  while (byteLength > 0 && (mul *= 0x100)) {\n    val += this[offset + --byteLength] * mul;\n  }\n  return val;\n};\nBuffer.prototype.readUint8 = Buffer.prototype.readUInt8 = function readUInt8(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 1, this.length);\n  return this[offset];\n};\nBuffer.prototype.readUint16LE = Buffer.prototype.readUInt16LE = function readUInt16LE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 2, this.length);\n  return this[offset] | this[offset + 1] << 8;\n};\nBuffer.prototype.readUint16BE = Buffer.prototype.readUInt16BE = function readUInt16BE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 2, this.length);\n  return this[offset] << 8 | this[offset + 1];\n};\nBuffer.prototype.readUint32LE = Buffer.prototype.readUInt32LE = function readUInt32LE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 4, this.length);\n  return (this[offset] | this[offset + 1] << 8 | this[offset + 2] << 16) + this[offset + 3] * 0x1000000;\n};\nBuffer.prototype.readUint32BE = Buffer.prototype.readUInt32BE = function readUInt32BE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 4, this.length);\n  return this[offset] * 0x1000000 + (this[offset + 1] << 16 | this[offset + 2] << 8 | this[offset + 3]);\n};\nBuffer.prototype.readBigUInt64LE = defineBigIntMethod(function readBigUInt64LE(offset) {\n  offset = offset >>> 0;\n  validateNumber(offset, 'offset');\n  const first = this[offset];\n  const last = this[offset + 7];\n  if (first === undefined || last === undefined) {\n    boundsError(offset, this.length - 8);\n  }\n  const lo = first + this[++offset] * 2 ** 8 + this[++offset] * 2 ** 16 + this[++offset] * 2 ** 24;\n  const hi = this[++offset] + this[++offset] * 2 ** 8 + this[++offset] * 2 ** 16 + last * 2 ** 24;\n  return BigInt(lo) + (BigInt(hi) << BigInt(32));\n});\nBuffer.prototype.readBigUInt64BE = defineBigIntMethod(function readBigUInt64BE(offset) {\n  offset = offset >>> 0;\n  validateNumber(offset, 'offset');\n  const first = this[offset];\n  const last = this[offset + 7];\n  if (first === undefined || last === undefined) {\n    boundsError(offset, this.length - 8);\n  }\n  const hi = first * 2 ** 24 + this[++offset] * 2 ** 16 + this[++offset] * 2 ** 8 + this[++offset];\n  const lo = this[++offset] * 2 ** 24 + this[++offset] * 2 ** 16 + this[++offset] * 2 ** 8 + last;\n  return (BigInt(hi) << BigInt(32)) + BigInt(lo);\n});\nBuffer.prototype.readIntLE = function readIntLE(offset, byteLength, noAssert) {\n  offset = offset >>> 0;\n  byteLength = byteLength >>> 0;\n  if (!noAssert) checkOffset(offset, byteLength, this.length);\n  let val = this[offset];\n  let mul = 1;\n  let i = 0;\n  while (++i < byteLength && (mul *= 0x100)) {\n    val += this[offset + i] * mul;\n  }\n  mul *= 0x80;\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength);\n  return val;\n};\nBuffer.prototype.readIntBE = function readIntBE(offset, byteLength, noAssert) {\n  offset = offset >>> 0;\n  byteLength = byteLength >>> 0;\n  if (!noAssert) checkOffset(offset, byteLength, this.length);\n  let i = byteLength;\n  let mul = 1;\n  let val = this[offset + --i];\n  while (i > 0 && (mul *= 0x100)) {\n    val += this[offset + --i] * mul;\n  }\n  mul *= 0x80;\n  if (val >= mul) val -= Math.pow(2, 8 * byteLength);\n  return val;\n};\nBuffer.prototype.readInt8 = function readInt8(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 1, this.length);\n  if (!(this[offset] & 0x80)) return this[offset];\n  return (0xff - this[offset] + 1) * -1;\n};\nBuffer.prototype.readInt16LE = function readInt16LE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 2, this.length);\n  const val = this[offset] | this[offset + 1] << 8;\n  return val & 0x8000 ? val | 0xFFFF0000 : val;\n};\nBuffer.prototype.readInt16BE = function readInt16BE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 2, this.length);\n  const val = this[offset + 1] | this[offset] << 8;\n  return val & 0x8000 ? val | 0xFFFF0000 : val;\n};\nBuffer.prototype.readInt32LE = function readInt32LE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 4, this.length);\n  return this[offset] | this[offset + 1] << 8 | this[offset + 2] << 16 | this[offset + 3] << 24;\n};\nBuffer.prototype.readInt32BE = function readInt32BE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 4, this.length);\n  return this[offset] << 24 | this[offset + 1] << 16 | this[offset + 2] << 8 | this[offset + 3];\n};\nBuffer.prototype.readBigInt64LE = defineBigIntMethod(function readBigInt64LE(offset) {\n  offset = offset >>> 0;\n  validateNumber(offset, 'offset');\n  const first = this[offset];\n  const last = this[offset + 7];\n  if (first === undefined || last === undefined) {\n    boundsError(offset, this.length - 8);\n  }\n  const val = this[offset + 4] + this[offset + 5] * 2 ** 8 + this[offset + 6] * 2 ** 16 + (last << 24); // Overflow\n\n  return (BigInt(val) << BigInt(32)) + BigInt(first + this[++offset] * 2 ** 8 + this[++offset] * 2 ** 16 + this[++offset] * 2 ** 24);\n});\nBuffer.prototype.readBigInt64BE = defineBigIntMethod(function readBigInt64BE(offset) {\n  offset = offset >>> 0;\n  validateNumber(offset, 'offset');\n  const first = this[offset];\n  const last = this[offset + 7];\n  if (first === undefined || last === undefined) {\n    boundsError(offset, this.length - 8);\n  }\n  const val = (first << 24) +\n  // Overflow\n  this[++offset] * 2 ** 16 + this[++offset] * 2 ** 8 + this[++offset];\n  return (BigInt(val) << BigInt(32)) + BigInt(this[++offset] * 2 ** 24 + this[++offset] * 2 ** 16 + this[++offset] * 2 ** 8 + last);\n});\nBuffer.prototype.readFloatLE = function readFloatLE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 4, this.length);\n  return ieee754.read(this, offset, true, 23, 4);\n};\nBuffer.prototype.readFloatBE = function readFloatBE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 4, this.length);\n  return ieee754.read(this, offset, false, 23, 4);\n};\nBuffer.prototype.readDoubleLE = function readDoubleLE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 8, this.length);\n  return ieee754.read(this, offset, true, 52, 8);\n};\nBuffer.prototype.readDoubleBE = function readDoubleBE(offset, noAssert) {\n  offset = offset >>> 0;\n  if (!noAssert) checkOffset(offset, 8, this.length);\n  return ieee754.read(this, offset, false, 52, 8);\n};\nfunction checkInt(buf, value, offset, ext, max, min) {\n  if (!Buffer.isBuffer(buf)) throw new TypeError('\"buffer\" argument must be a Buffer instance');\n  if (value > max || value < min) throw new RangeError('\"value\" argument is out of bounds');\n  if (offset + ext > buf.length) throw new RangeError('Index out of range');\n}\nBuffer.prototype.writeUintLE = Buffer.prototype.writeUIntLE = function writeUIntLE(value, offset, byteLength, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  byteLength = byteLength >>> 0;\n  if (!noAssert) {\n    const maxBytes = Math.pow(2, 8 * byteLength) - 1;\n    checkInt(this, value, offset, byteLength, maxBytes, 0);\n  }\n  let mul = 1;\n  let i = 0;\n  this[offset] = value & 0xFF;\n  while (++i < byteLength && (mul *= 0x100)) {\n    this[offset + i] = value / mul & 0xFF;\n  }\n  return offset + byteLength;\n};\nBuffer.prototype.writeUintBE = Buffer.prototype.writeUIntBE = function writeUIntBE(value, offset, byteLength, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  byteLength = byteLength >>> 0;\n  if (!noAssert) {\n    const maxBytes = Math.pow(2, 8 * byteLength) - 1;\n    checkInt(this, value, offset, byteLength, maxBytes, 0);\n  }\n  let i = byteLength - 1;\n  let mul = 1;\n  this[offset + i] = value & 0xFF;\n  while (--i >= 0 && (mul *= 0x100)) {\n    this[offset + i] = value / mul & 0xFF;\n  }\n  return offset + byteLength;\n};\nBuffer.prototype.writeUint8 = Buffer.prototype.writeUInt8 = function writeUInt8(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 1, 0xff, 0);\n  this[offset] = value & 0xff;\n  return offset + 1;\n};\nBuffer.prototype.writeUint16LE = Buffer.prototype.writeUInt16LE = function writeUInt16LE(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0);\n  this[offset] = value & 0xff;\n  this[offset + 1] = value >>> 8;\n  return offset + 2;\n};\nBuffer.prototype.writeUint16BE = Buffer.prototype.writeUInt16BE = function writeUInt16BE(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 2, 0xffff, 0);\n  this[offset] = value >>> 8;\n  this[offset + 1] = value & 0xff;\n  return offset + 2;\n};\nBuffer.prototype.writeUint32LE = Buffer.prototype.writeUInt32LE = function writeUInt32LE(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0);\n  this[offset + 3] = value >>> 24;\n  this[offset + 2] = value >>> 16;\n  this[offset + 1] = value >>> 8;\n  this[offset] = value & 0xff;\n  return offset + 4;\n};\nBuffer.prototype.writeUint32BE = Buffer.prototype.writeUInt32BE = function writeUInt32BE(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 4, 0xffffffff, 0);\n  this[offset] = value >>> 24;\n  this[offset + 1] = value >>> 16;\n  this[offset + 2] = value >>> 8;\n  this[offset + 3] = value & 0xff;\n  return offset + 4;\n};\nfunction wrtBigUInt64LE(buf, value, offset, min, max) {\n  checkIntBI(value, min, max, buf, offset, 7);\n  let lo = Number(value & BigInt(0xffffffff));\n  buf[offset++] = lo;\n  lo = lo >> 8;\n  buf[offset++] = lo;\n  lo = lo >> 8;\n  buf[offset++] = lo;\n  lo = lo >> 8;\n  buf[offset++] = lo;\n  let hi = Number(value >> BigInt(32) & BigInt(0xffffffff));\n  buf[offset++] = hi;\n  hi = hi >> 8;\n  buf[offset++] = hi;\n  hi = hi >> 8;\n  buf[offset++] = hi;\n  hi = hi >> 8;\n  buf[offset++] = hi;\n  return offset;\n}\nfunction wrtBigUInt64BE(buf, value, offset, min, max) {\n  checkIntBI(value, min, max, buf, offset, 7);\n  let lo = Number(value & BigInt(0xffffffff));\n  buf[offset + 7] = lo;\n  lo = lo >> 8;\n  buf[offset + 6] = lo;\n  lo = lo >> 8;\n  buf[offset + 5] = lo;\n  lo = lo >> 8;\n  buf[offset + 4] = lo;\n  let hi = Number(value >> BigInt(32) & BigInt(0xffffffff));\n  buf[offset + 3] = hi;\n  hi = hi >> 8;\n  buf[offset + 2] = hi;\n  hi = hi >> 8;\n  buf[offset + 1] = hi;\n  hi = hi >> 8;\n  buf[offset] = hi;\n  return offset + 8;\n}\nBuffer.prototype.writeBigUInt64LE = defineBigIntMethod(function writeBigUInt64LE(value, offset = 0) {\n  return wrtBigUInt64LE(this, value, offset, BigInt(0), BigInt('0xffffffffffffffff'));\n});\nBuffer.prototype.writeBigUInt64BE = defineBigIntMethod(function writeBigUInt64BE(value, offset = 0) {\n  return wrtBigUInt64BE(this, value, offset, BigInt(0), BigInt('0xffffffffffffffff'));\n});\nBuffer.prototype.writeIntLE = function writeIntLE(value, offset, byteLength, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) {\n    const limit = Math.pow(2, 8 * byteLength - 1);\n    checkInt(this, value, offset, byteLength, limit - 1, -limit);\n  }\n  let i = 0;\n  let mul = 1;\n  let sub = 0;\n  this[offset] = value & 0xFF;\n  while (++i < byteLength && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i - 1] !== 0) {\n      sub = 1;\n    }\n    this[offset + i] = (value / mul >> 0) - sub & 0xFF;\n  }\n  return offset + byteLength;\n};\nBuffer.prototype.writeIntBE = function writeIntBE(value, offset, byteLength, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) {\n    const limit = Math.pow(2, 8 * byteLength - 1);\n    checkInt(this, value, offset, byteLength, limit - 1, -limit);\n  }\n  let i = byteLength - 1;\n  let mul = 1;\n  let sub = 0;\n  this[offset + i] = value & 0xFF;\n  while (--i >= 0 && (mul *= 0x100)) {\n    if (value < 0 && sub === 0 && this[offset + i + 1] !== 0) {\n      sub = 1;\n    }\n    this[offset + i] = (value / mul >> 0) - sub & 0xFF;\n  }\n  return offset + byteLength;\n};\nBuffer.prototype.writeInt8 = function writeInt8(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 1, 0x7f, -0x80);\n  if (value < 0) value = 0xff + value + 1;\n  this[offset] = value & 0xff;\n  return offset + 1;\n};\nBuffer.prototype.writeInt16LE = function writeInt16LE(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000);\n  this[offset] = value & 0xff;\n  this[offset + 1] = value >>> 8;\n  return offset + 2;\n};\nBuffer.prototype.writeInt16BE = function writeInt16BE(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 2, 0x7fff, -0x8000);\n  this[offset] = value >>> 8;\n  this[offset + 1] = value & 0xff;\n  return offset + 2;\n};\nBuffer.prototype.writeInt32LE = function writeInt32LE(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000);\n  this[offset] = value & 0xff;\n  this[offset + 1] = value >>> 8;\n  this[offset + 2] = value >>> 16;\n  this[offset + 3] = value >>> 24;\n  return offset + 4;\n};\nBuffer.prototype.writeInt32BE = function writeInt32BE(value, offset, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) checkInt(this, value, offset, 4, 0x7fffffff, -0x80000000);\n  if (value < 0) value = 0xffffffff + value + 1;\n  this[offset] = value >>> 24;\n  this[offset + 1] = value >>> 16;\n  this[offset + 2] = value >>> 8;\n  this[offset + 3] = value & 0xff;\n  return offset + 4;\n};\nBuffer.prototype.writeBigInt64LE = defineBigIntMethod(function writeBigInt64LE(value, offset = 0) {\n  return wrtBigUInt64LE(this, value, offset, -BigInt('0x8000000000000000'), BigInt('0x7fffffffffffffff'));\n});\nBuffer.prototype.writeBigInt64BE = defineBigIntMethod(function writeBigInt64BE(value, offset = 0) {\n  return wrtBigUInt64BE(this, value, offset, -BigInt('0x8000000000000000'), BigInt('0x7fffffffffffffff'));\n});\nfunction checkIEEE754(buf, value, offset, ext, max, min) {\n  if (offset + ext > buf.length) throw new RangeError('Index out of range');\n  if (offset < 0) throw new RangeError('Index out of range');\n}\nfunction writeFloat(buf, value, offset, littleEndian, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 4, 3.4028234663852886e+38, -3.4028234663852886e+38);\n  }\n  ieee754.write(buf, value, offset, littleEndian, 23, 4);\n  return offset + 4;\n}\nBuffer.prototype.writeFloatLE = function writeFloatLE(value, offset, noAssert) {\n  return writeFloat(this, value, offset, true, noAssert);\n};\nBuffer.prototype.writeFloatBE = function writeFloatBE(value, offset, noAssert) {\n  return writeFloat(this, value, offset, false, noAssert);\n};\nfunction writeDouble(buf, value, offset, littleEndian, noAssert) {\n  value = +value;\n  offset = offset >>> 0;\n  if (!noAssert) {\n    checkIEEE754(buf, value, offset, 8, 1.7976931348623157E+308, -1.7976931348623157E+308);\n  }\n  ieee754.write(buf, value, offset, littleEndian, 52, 8);\n  return offset + 8;\n}\nBuffer.prototype.writeDoubleLE = function writeDoubleLE(value, offset, noAssert) {\n  return writeDouble(this, value, offset, true, noAssert);\n};\nBuffer.prototype.writeDoubleBE = function writeDoubleBE(value, offset, noAssert) {\n  return writeDouble(this, value, offset, false, noAssert);\n};\n\n// copy(targetBuffer, targetStart=0, sourceStart=0, sourceEnd=buffer.length)\nBuffer.prototype.copy = function copy(target, targetStart, start, end) {\n  if (!Buffer.isBuffer(target)) throw new TypeError('argument should be a Buffer');\n  if (!start) start = 0;\n  if (!end && end !== 0) end = this.length;\n  if (targetStart >= target.length) targetStart = target.length;\n  if (!targetStart) targetStart = 0;\n  if (end > 0 && end < start) end = start;\n\n  // Copy 0 bytes; we're done\n  if (end === start) return 0;\n  if (target.length === 0 || this.length === 0) return 0;\n\n  // Fatal error conditions\n  if (targetStart < 0) {\n    throw new RangeError('targetStart out of bounds');\n  }\n  if (start < 0 || start >= this.length) throw new RangeError('Index out of range');\n  if (end < 0) throw new RangeError('sourceEnd out of bounds');\n\n  // Are we oob?\n  if (end > this.length) end = this.length;\n  if (target.length - targetStart < end - start) {\n    end = target.length - targetStart + start;\n  }\n  const len = end - start;\n  if (this === target && typeof Uint8Array.prototype.copyWithin === 'function') {\n    // Use built-in when available, missing from IE11\n    this.copyWithin(targetStart, start, end);\n  } else {\n    Uint8Array.prototype.set.call(target, this.subarray(start, end), targetStart);\n  }\n  return len;\n};\n\n// Usage:\n//    buffer.fill(number[, offset[, end]])\n//    buffer.fill(buffer[, offset[, end]])\n//    buffer.fill(string[, offset[, end]][, encoding])\nBuffer.prototype.fill = function fill(val, start, end, encoding) {\n  // Handle string cases:\n  if (typeof val === 'string') {\n    if (typeof start === 'string') {\n      encoding = start;\n      start = 0;\n      end = this.length;\n    } else if (typeof end === 'string') {\n      encoding = end;\n      end = this.length;\n    }\n    if (encoding !== undefined && typeof encoding !== 'string') {\n      throw new TypeError('encoding must be a string');\n    }\n    if (typeof encoding === 'string' && !Buffer.isEncoding(encoding)) {\n      throw new TypeError('Unknown encoding: ' + encoding);\n    }\n    if (val.length === 1) {\n      const code = val.charCodeAt(0);\n      if (encoding === 'utf8' && code < 128 || encoding === 'latin1') {\n        // Fast path: If `val` fits into a single byte, use that numeric value.\n        val = code;\n      }\n    }\n  } else if (typeof val === 'number') {\n    val = val & 255;\n  } else if (typeof val === 'boolean') {\n    val = Number(val);\n  }\n\n  // Invalid ranges are not set to a default, so can range check early.\n  if (start < 0 || this.length < start || this.length < end) {\n    throw new RangeError('Out of range index');\n  }\n  if (end <= start) {\n    return this;\n  }\n  start = start >>> 0;\n  end = end === undefined ? this.length : end >>> 0;\n  if (!val) val = 0;\n  let i;\n  if (typeof val === 'number') {\n    for (i = start; i < end; ++i) {\n      this[i] = val;\n    }\n  } else {\n    const bytes = Buffer.isBuffer(val) ? val : Buffer.from(val, encoding);\n    const len = bytes.length;\n    if (len === 0) {\n      throw new TypeError('The value \"' + val + '\" is invalid for argument \"value\"');\n    }\n    for (i = 0; i < end - start; ++i) {\n      this[i + start] = bytes[i % len];\n    }\n  }\n  return this;\n};\n\n// CUSTOM ERRORS\n// =============\n\n// Simplified versions from Node, changed for Buffer-only usage\nconst errors = {};\nfunction E(sym, getMessage, Base) {\n  errors[sym] = class NodeError extends Base {\n    constructor() {\n      super();\n      Object.defineProperty(this, 'message', {\n        value: getMessage.apply(this, arguments),\n        writable: true,\n        configurable: true\n      });\n\n      // Add the error code to the name to include it in the stack trace.\n      this.name = `${this.name} [${sym}]`;\n      // Access the stack to generate the error message including the error code\n      // from the name.\n      this.stack; // eslint-disable-line no-unused-expressions\n      // Reset the name to the actual name.\n      delete this.name;\n    }\n    get code() {\n      return sym;\n    }\n    set code(value) {\n      Object.defineProperty(this, 'code', {\n        configurable: true,\n        enumerable: true,\n        value,\n        writable: true\n      });\n    }\n    toString() {\n      return `${this.name} [${sym}]: ${this.message}`;\n    }\n  };\n}\nE('ERR_BUFFER_OUT_OF_BOUNDS', function (name) {\n  if (name) {\n    return `${name} is outside of buffer bounds`;\n  }\n  return 'Attempt to access memory outside buffer bounds';\n}, RangeError);\nE('ERR_INVALID_ARG_TYPE', function (name, actual) {\n  return `The \"${name}\" argument must be of type number. Received type ${typeof actual}`;\n}, TypeError);\nE('ERR_OUT_OF_RANGE', function (str, range, input) {\n  let msg = `The value of \"${str}\" is out of range.`;\n  let received = input;\n  if (Number.isInteger(input) && Math.abs(input) > 2 ** 32) {\n    received = addNumericalSeparator(String(input));\n  } else if (typeof input === 'bigint') {\n    received = String(input);\n    if (input > BigInt(2) ** BigInt(32) || input < -(BigInt(2) ** BigInt(32))) {\n      received = addNumericalSeparator(received);\n    }\n    received += 'n';\n  }\n  msg += ` It must be ${range}. Received ${received}`;\n  return msg;\n}, RangeError);\nfunction addNumericalSeparator(val) {\n  let res = '';\n  let i = val.length;\n  const start = val[0] === '-' ? 1 : 0;\n  for (; i >= start + 4; i -= 3) {\n    res = `_${val.slice(i - 3, i)}${res}`;\n  }\n  return `${val.slice(0, i)}${res}`;\n}\n\n// CHECK FUNCTIONS\n// ===============\n\nfunction checkBounds(buf, offset, byteLength) {\n  validateNumber(offset, 'offset');\n  if (buf[offset] === undefined || buf[offset + byteLength] === undefined) {\n    boundsError(offset, buf.length - (byteLength + 1));\n  }\n}\nfunction checkIntBI(value, min, max, buf, offset, byteLength) {\n  if (value > max || value < min) {\n    const n = typeof min === 'bigint' ? 'n' : '';\n    let range;\n    if (byteLength > 3) {\n      if (min === 0 || min === BigInt(0)) {\n        range = `>= 0${n} and < 2${n} ** ${(byteLength + 1) * 8}${n}`;\n      } else {\n        range = `>= -(2${n} ** ${(byteLength + 1) * 8 - 1}${n}) and < 2 ** ` + `${(byteLength + 1) * 8 - 1}${n}`;\n      }\n    } else {\n      range = `>= ${min}${n} and <= ${max}${n}`;\n    }\n    throw new errors.ERR_OUT_OF_RANGE('value', range, value);\n  }\n  checkBounds(buf, offset, byteLength);\n}\nfunction validateNumber(value, name) {\n  if (typeof value !== 'number') {\n    throw new errors.ERR_INVALID_ARG_TYPE(name, 'number', value);\n  }\n}\nfunction boundsError(value, length, type) {\n  if (Math.floor(value) !== value) {\n    validateNumber(value, type);\n    throw new errors.ERR_OUT_OF_RANGE(type || 'offset', 'an integer', value);\n  }\n  if (length < 0) {\n    throw new errors.ERR_BUFFER_OUT_OF_BOUNDS();\n  }\n  throw new errors.ERR_OUT_OF_RANGE(type || 'offset', `>= ${type ? 1 : 0} and <= ${length}`, value);\n}\n\n// HELPER FUNCTIONS\n// ================\n\nconst INVALID_BASE64_RE = /[^+/0-9A-Za-z-_]/g;\nfunction base64clean(str) {\n  // Node takes equal signs as end of the Base64 encoding\n  str = str.split('=')[0];\n  // Node strips out invalid characters like \\n and \\t from the string, base64-js does not\n  str = str.trim().replace(INVALID_BASE64_RE, '');\n  // Node converts strings with length < 2 to ''\n  if (str.length < 2) return '';\n  // Node allows for non-padded base64 strings (missing trailing ===), base64-js does not\n  while (str.length % 4 !== 0) {\n    str = str + '=';\n  }\n  return str;\n}\nfunction utf8ToBytes(string, units) {\n  units = units || Infinity;\n  let codePoint;\n  const length = string.length;\n  let leadSurrogate = null;\n  const bytes = [];\n  for (let i = 0; i < length; ++i) {\n    codePoint = string.charCodeAt(i);\n\n    // is surrogate component\n    if (codePoint > 0xD7FF && codePoint < 0xE000) {\n      // last char was a lead\n      if (!leadSurrogate) {\n        // no lead yet\n        if (codePoint > 0xDBFF) {\n          // unexpected trail\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD);\n          continue;\n        } else if (i + 1 === length) {\n          // unpaired lead\n          if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD);\n          continue;\n        }\n\n        // valid lead\n        leadSurrogate = codePoint;\n        continue;\n      }\n\n      // 2 leads in a row\n      if (codePoint < 0xDC00) {\n        if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD);\n        leadSurrogate = codePoint;\n        continue;\n      }\n\n      // valid surrogate pair\n      codePoint = (leadSurrogate - 0xD800 << 10 | codePoint - 0xDC00) + 0x10000;\n    } else if (leadSurrogate) {\n      // valid bmp char, but last char was a lead\n      if ((units -= 3) > -1) bytes.push(0xEF, 0xBF, 0xBD);\n    }\n    leadSurrogate = null;\n\n    // encode utf8\n    if (codePoint < 0x80) {\n      if ((units -= 1) < 0) break;\n      bytes.push(codePoint);\n    } else if (codePoint < 0x800) {\n      if ((units -= 2) < 0) break;\n      bytes.push(codePoint >> 0x6 | 0xC0, codePoint & 0x3F | 0x80);\n    } else if (codePoint < 0x10000) {\n      if ((units -= 3) < 0) break;\n      bytes.push(codePoint >> 0xC | 0xE0, codePoint >> 0x6 & 0x3F | 0x80, codePoint & 0x3F | 0x80);\n    } else if (codePoint < 0x110000) {\n      if ((units -= 4) < 0) break;\n      bytes.push(codePoint >> 0x12 | 0xF0, codePoint >> 0xC & 0x3F | 0x80, codePoint >> 0x6 & 0x3F | 0x80, codePoint & 0x3F | 0x80);\n    } else {\n      throw new Error('Invalid code point');\n    }\n  }\n  return bytes;\n}\nfunction asciiToBytes(str) {\n  const byteArray = [];\n  for (let i = 0; i < str.length; ++i) {\n    // Node's code seems to be doing this and not & 0x7F..\n    byteArray.push(str.charCodeAt(i) & 0xFF);\n  }\n  return byteArray;\n}\nfunction utf16leToBytes(str, units) {\n  let c, hi, lo;\n  const byteArray = [];\n  for (let i = 0; i < str.length; ++i) {\n    if ((units -= 2) < 0) break;\n    c = str.charCodeAt(i);\n    hi = c >> 8;\n    lo = c % 256;\n    byteArray.push(lo);\n    byteArray.push(hi);\n  }\n  return byteArray;\n}\nfunction base64ToBytes(str) {\n  return base64.toByteArray(base64clean(str));\n}\nfunction blitBuffer(src, dst, offset, length) {\n  let i;\n  for (i = 0; i < length; ++i) {\n    if (i + offset >= dst.length || i >= src.length) break;\n    dst[i + offset] = src[i];\n  }\n  return i;\n}\n\n// ArrayBuffer or Uint8Array objects from other contexts (i.e. iframes) do not pass\n// the `instanceof` check but they should be treated as of that type.\n// See: https://github.com/feross/buffer/issues/166\nfunction isInstance(obj, type) {\n  return obj instanceof type || obj != null && obj.constructor != null && obj.constructor.name != null && obj.constructor.name === type.name;\n}\nfunction numberIsNaN(obj) {\n  // For IE11 support\n  return obj !== obj; // eslint-disable-line no-self-compare\n}\n\n// Create lookup table for `toString('hex')`\n// See: https://github.com/feross/buffer/issues/219\nconst hexSliceLookupTable = function () {\n  const alphabet = '0123456789abcdef';\n  const table = new Array(256);\n  for (let i = 0; i < 16; ++i) {\n    const i16 = i * 16;\n    for (let j = 0; j < 16; ++j) {\n      table[i16 + j] = alphabet[i] + alphabet[j];\n    }\n  }\n  return table;\n}();\n\n// Return not function with Error if BigInt not supported\nfunction defineBigIntMethod(fn) {\n  return typeof BigInt === 'undefined' ? BufferBigIntNotDefined : fn;\n}\nfunction BufferBigIntNotDefined() {\n  throw new Error('BigInt not supported');\n}\n\n//# sourceURL=webpack://JCM-AI/./node_modules/node-polyfill-webpack-plugin/node_modules/buffer/index.js?");
-
-/***/ }),
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-/***/ "./node_modules/node-polyfill-webpack-plugin/node_modules/util/support/isBufferBrowser.js":
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-  !*** ./node_modules/node-polyfill-webpack-plugin/node_modules/util/support/isBufferBrowser.js ***!
-  \************************************************************************************************/
-/***/ (function(module) {
-
-eval("module.exports = function isBuffer(arg) {\n  return arg && typeof arg === 'object' && typeof arg.copy === 'function' && typeof arg.fill === 'function' && typeof arg.readUInt8 === 'function';\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/node-polyfill-webpack-plugin/node_modules/util/support/isBufferBrowser.js?");
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-/***/ }),
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-/***/ "./node_modules/node-polyfill-webpack-plugin/node_modules/util/support/types.js":
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-  !*** ./node_modules/node-polyfill-webpack-plugin/node_modules/util/support/types.js ***!
-  \**************************************************************************************/
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-"use strict";
-eval("// Currently in sync with Node.js lib/internal/util/types.js\n// https://github.com/nodejs/node/commit/112cc7c27551254aa2b17098fb774867f05ed0d9\n\n\n\nvar isArgumentsObject = __webpack_require__(/*! is-arguments */ \"./node_modules/is-arguments/index.js\");\nvar isGeneratorFunction = __webpack_require__(/*! is-generator-function */ \"./node_modules/is-generator-function/index.js\");\nvar whichTypedArray = __webpack_require__(/*! which-typed-array */ \"./node_modules/which-typed-array/index.js\");\nvar isTypedArray = __webpack_require__(/*! is-typed-array */ \"./node_modules/is-typed-array/index.js\");\nfunction uncurryThis(f) {\n  return f.call.bind(f);\n}\nvar BigIntSupported = typeof BigInt !== 'undefined';\nvar SymbolSupported = typeof Symbol !== 'undefined';\nvar ObjectToString = uncurryThis(Object.prototype.toString);\nvar numberValue = uncurryThis(Number.prototype.valueOf);\nvar stringValue = uncurryThis(String.prototype.valueOf);\nvar booleanValue = uncurryThis(Boolean.prototype.valueOf);\nif (BigIntSupported) {\n  var bigIntValue = uncurryThis(BigInt.prototype.valueOf);\n}\nif (SymbolSupported) {\n  var symbolValue = uncurryThis(Symbol.prototype.valueOf);\n}\nfunction checkBoxedPrimitive(value, prototypeValueOf) {\n  if (typeof value !== 'object') {\n    return false;\n  }\n  try {\n    prototypeValueOf(value);\n    return true;\n  } catch (e) {\n    return false;\n  }\n}\nexports.isArgumentsObject = isArgumentsObject;\nexports.isGeneratorFunction = isGeneratorFunction;\nexports.isTypedArray = isTypedArray;\n\n// Taken from here and modified for better browser support\n// https://github.com/sindresorhus/p-is-promise/blob/cda35a513bda03f977ad5cde3a079d237e82d7ef/index.js\nfunction isPromise(input) {\n  return typeof Promise !== 'undefined' && input instanceof Promise || input !== null && typeof input === 'object' && typeof input.then === 'function' && typeof input.catch === 'function';\n}\nexports.isPromise = isPromise;\nfunction isArrayBufferView(value) {\n  if (typeof ArrayBuffer !== 'undefined' && ArrayBuffer.isView) {\n    return ArrayBuffer.isView(value);\n  }\n  return isTypedArray(value) || isDataView(value);\n}\nexports.isArrayBufferView = isArrayBufferView;\nfunction isUint8Array(value) {\n  return whichTypedArray(value) === 'Uint8Array';\n}\nexports.isUint8Array = isUint8Array;\nfunction isUint8ClampedArray(value) {\n  return whichTypedArray(value) === 'Uint8ClampedArray';\n}\nexports.isUint8ClampedArray = isUint8ClampedArray;\nfunction isUint16Array(value) {\n  return whichTypedArray(value) === 'Uint16Array';\n}\nexports.isUint16Array = isUint16Array;\nfunction isUint32Array(value) {\n  return whichTypedArray(value) === 'Uint32Array';\n}\nexports.isUint32Array = isUint32Array;\nfunction isInt8Array(value) {\n  return whichTypedArray(value) === 'Int8Array';\n}\nexports.isInt8Array = isInt8Array;\nfunction isInt16Array(value) {\n  return whichTypedArray(value) === 'Int16Array';\n}\nexports.isInt16Array = isInt16Array;\nfunction isInt32Array(value) {\n  return whichTypedArray(value) === 'Int32Array';\n}\nexports.isInt32Array = isInt32Array;\nfunction isFloat32Array(value) {\n  return whichTypedArray(value) === 'Float32Array';\n}\nexports.isFloat32Array = isFloat32Array;\nfunction isFloat64Array(value) {\n  return whichTypedArray(value) === 'Float64Array';\n}\nexports.isFloat64Array = isFloat64Array;\nfunction isBigInt64Array(value) {\n  return whichTypedArray(value) === 'BigInt64Array';\n}\nexports.isBigInt64Array = isBigInt64Array;\nfunction isBigUint64Array(value) {\n  return whichTypedArray(value) === 'BigUint64Array';\n}\nexports.isBigUint64Array = isBigUint64Array;\nfunction isMapToString(value) {\n  return ObjectToString(value) === '[object Map]';\n}\nisMapToString.working = typeof Map !== 'undefined' && isMapToString(new Map());\nfunction isMap(value) {\n  if (typeof Map === 'undefined') {\n    return false;\n  }\n  return isMapToString.working ? isMapToString(value) : value instanceof Map;\n}\nexports.isMap = isMap;\nfunction isSetToString(value) {\n  return ObjectToString(value) === '[object Set]';\n}\nisSetToString.working = typeof Set !== 'undefined' && isSetToString(new Set());\nfunction isSet(value) {\n  if (typeof Set === 'undefined') {\n    return false;\n  }\n  return isSetToString.working ? isSetToString(value) : value instanceof Set;\n}\nexports.isSet = isSet;\nfunction isWeakMapToString(value) {\n  return ObjectToString(value) === '[object WeakMap]';\n}\nisWeakMapToString.working = typeof WeakMap !== 'undefined' && isWeakMapToString(new WeakMap());\nfunction isWeakMap(value) {\n  if (typeof WeakMap === 'undefined') {\n    return false;\n  }\n  return isWeakMapToString.working ? isWeakMapToString(value) : value instanceof WeakMap;\n}\nexports.isWeakMap = isWeakMap;\nfunction isWeakSetToString(value) {\n  return ObjectToString(value) === '[object WeakSet]';\n}\nisWeakSetToString.working = typeof WeakSet !== 'undefined' && isWeakSetToString(new WeakSet());\nfunction isWeakSet(value) {\n  return isWeakSetToString(value);\n}\nexports.isWeakSet = isWeakSet;\nfunction isArrayBufferToString(value) {\n  return ObjectToString(value) === '[object ArrayBuffer]';\n}\nisArrayBufferToString.working = typeof ArrayBuffer !== 'undefined' && isArrayBufferToString(new ArrayBuffer());\nfunction isArrayBuffer(value) {\n  if (typeof ArrayBuffer === 'undefined') {\n    return false;\n  }\n  return isArrayBufferToString.working ? isArrayBufferToString(value) : value instanceof ArrayBuffer;\n}\nexports.isArrayBuffer = isArrayBuffer;\nfunction isDataViewToString(value) {\n  return ObjectToString(value) === '[object DataView]';\n}\nisDataViewToString.working = typeof ArrayBuffer !== 'undefined' && typeof DataView !== 'undefined' && isDataViewToString(new DataView(new ArrayBuffer(1), 0, 1));\nfunction isDataView(value) {\n  if (typeof DataView === 'undefined') {\n    return false;\n  }\n  return isDataViewToString.working ? isDataViewToString(value) : value instanceof DataView;\n}\nexports.isDataView = isDataView;\n\n// Store a copy of SharedArrayBuffer in case it's deleted elsewhere\nvar SharedArrayBufferCopy = typeof SharedArrayBuffer !== 'undefined' ? SharedArrayBuffer : undefined;\nfunction isSharedArrayBufferToString(value) {\n  return ObjectToString(value) === '[object SharedArrayBuffer]';\n}\nfunction isSharedArrayBuffer(value) {\n  if (typeof SharedArrayBufferCopy === 'undefined') {\n    return false;\n  }\n  if (typeof isSharedArrayBufferToString.working === 'undefined') {\n    isSharedArrayBufferToString.working = isSharedArrayBufferToString(new SharedArrayBufferCopy());\n  }\n  return isSharedArrayBufferToString.working ? isSharedArrayBufferToString(value) : value instanceof SharedArrayBufferCopy;\n}\nexports.isSharedArrayBuffer = isSharedArrayBuffer;\nfunction isAsyncFunction(value) {\n  return ObjectToString(value) === '[object AsyncFunction]';\n}\nexports.isAsyncFunction = isAsyncFunction;\nfunction isMapIterator(value) {\n  return ObjectToString(value) === '[object Map Iterator]';\n}\nexports.isMapIterator = isMapIterator;\nfunction isSetIterator(value) {\n  return ObjectToString(value) === '[object Set Iterator]';\n}\nexports.isSetIterator = isSetIterator;\nfunction isGeneratorObject(value) {\n  return ObjectToString(value) === '[object Generator]';\n}\nexports.isGeneratorObject = isGeneratorObject;\nfunction isWebAssemblyCompiledModule(value) {\n  return ObjectToString(value) === '[object WebAssembly.Module]';\n}\nexports.isWebAssemblyCompiledModule = isWebAssemblyCompiledModule;\nfunction isNumberObject(value) {\n  return checkBoxedPrimitive(value, numberValue);\n}\nexports.isNumberObject = isNumberObject;\nfunction isStringObject(value) {\n  return checkBoxedPrimitive(value, stringValue);\n}\nexports.isStringObject = isStringObject;\nfunction isBooleanObject(value) {\n  return checkBoxedPrimitive(value, booleanValue);\n}\nexports.isBooleanObject = isBooleanObject;\nfunction isBigIntObject(value) {\n  return BigIntSupported && checkBoxedPrimitive(value, bigIntValue);\n}\nexports.isBigIntObject = isBigIntObject;\nfunction isSymbolObject(value) {\n  return SymbolSupported && checkBoxedPrimitive(value, symbolValue);\n}\nexports.isSymbolObject = isSymbolObject;\nfunction isBoxedPrimitive(value) {\n  return isNumberObject(value) || isStringObject(value) || isBooleanObject(value) || isBigIntObject(value) || isSymbolObject(value);\n}\nexports.isBoxedPrimitive = isBoxedPrimitive;\nfunction isAnyArrayBuffer(value) {\n  return typeof Uint8Array !== 'undefined' && (isArrayBuffer(value) || isSharedArrayBuffer(value));\n}\nexports.isAnyArrayBuffer = isAnyArrayBuffer;\n['isProxy', 'isExternal', 'isModuleNamespaceObject'].forEach(function (method) {\n  Object.defineProperty(exports, method, {\n    enumerable: false,\n    value: function () {\n      throw new Error(method + ' is not supported in userland');\n    }\n  });\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/node-polyfill-webpack-plugin/node_modules/util/support/types.js?");
-
-/***/ }),
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-/***/ "./node_modules/node-polyfill-webpack-plugin/node_modules/util/util.js":
-/*!*****************************************************************************!*\
-  !*** ./node_modules/node-polyfill-webpack-plugin/node_modules/util/util.js ***!
-  \*****************************************************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
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-eval("/* provided dependency */ var process = __webpack_require__(/*! ./node_modules/process/browser.js */ \"./node_modules/process/browser.js\");\n/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n// Copyright Joyent, Inc. and other Node contributors.\n//\n// Permission is hereby granted, free of charge, to any person obtaining a\n// copy of this software and associated documentation files (the\n// \"Software\"), to deal in the Software without restriction, including\n// without limitation the rights to use, copy, modify, merge, publish,\n// distribute, sublicense, and/or sell copies of the Software, and to permit\n// persons to whom the Software is furnished to do so, subject to the\n// following conditions:\n//\n// The above copyright notice and this permission notice shall be included\n// in all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS\n// OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF\n// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN\n// NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,\n// DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR\n// OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE\n// USE OR OTHER DEALINGS IN THE SOFTWARE.\n\nvar getOwnPropertyDescriptors = Object.getOwnPropertyDescriptors || function getOwnPropertyDescriptors(obj) {\n  var keys = Object.keys(obj);\n  var descriptors = {};\n  for (var i = 0; i < keys.length; i++) {\n    descriptors[keys[i]] = Object.getOwnPropertyDescriptor(obj, keys[i]);\n  }\n  return descriptors;\n};\nvar formatRegExp = /%[sdj%]/g;\nexports.format = function (f) {\n  if (!isString(f)) {\n    var objects = [];\n    for (var i = 0; i < arguments.length; i++) {\n      objects.push(inspect(arguments[i]));\n    }\n    return objects.join(' ');\n  }\n  var i = 1;\n  var args = arguments;\n  var len = args.length;\n  var str = String(f).replace(formatRegExp, function (x) {\n    if (x === '%%') return '%';\n    if (i >= len) return x;\n    switch (x) {\n      case '%s':\n        return String(args[i++]);\n      case '%d':\n        return Number(args[i++]);\n      case '%j':\n        try {\n          return JSON.stringify(args[i++]);\n        } catch (_) {\n          return '[Circular]';\n        }\n      default:\n        return x;\n    }\n  });\n  for (var x = args[i]; i < len; x = args[++i]) {\n    if (isNull(x) || !isObject(x)) {\n      str += ' ' + x;\n    } else {\n      str += ' ' + inspect(x);\n    }\n  }\n  return str;\n};\n\n// Mark that a method should not be used.\n// Returns a modified function which warns once by default.\n// If --no-deprecation is set, then it is a no-op.\nexports.deprecate = function (fn, msg) {\n  if (typeof process !== 'undefined' && process.noDeprecation === true) {\n    return fn;\n  }\n\n  // Allow for deprecating things in the process of starting up.\n  if (typeof process === 'undefined') {\n    return function () {\n      return exports.deprecate(fn, msg).apply(this, arguments);\n    };\n  }\n  var warned = false;\n  function deprecated() {\n    if (!warned) {\n      if (process.throwDeprecation) {\n        throw new Error(msg);\n      } else if (process.traceDeprecation) {\n        console.trace(msg);\n      } else {\n        console.error(msg);\n      }\n      warned = true;\n    }\n    return fn.apply(this, arguments);\n  }\n  return deprecated;\n};\nvar debugs = {};\nvar debugEnvRegex = /^$/;\nif (({\"NODE_ENV\":\"development\",\"VUE_APP_OPENAI_API_KEY\":\"\",\"BASE_URL\":\"\"}).NODE_DEBUG) {\n  var debugEnv = ({\"NODE_ENV\":\"development\",\"VUE_APP_OPENAI_API_KEY\":\"\",\"BASE_URL\":\"\"}).NODE_DEBUG;\n  debugEnv = debugEnv.replace(/[|\\\\{}()[\\]^$+?.]/g, '\\\\$&').replace(/\\*/g, '.*').replace(/,/g, '$|^').toUpperCase();\n  debugEnvRegex = new RegExp('^' + debugEnv + '$', 'i');\n}\nexports.debuglog = function (set) {\n  set = set.toUpperCase();\n  if (!debugs[set]) {\n    if (debugEnvRegex.test(set)) {\n      var pid = process.pid;\n      debugs[set] = function () {\n        var msg = exports.format.apply(exports, arguments);\n        console.error('%s %d: %s', set, pid, msg);\n      };\n    } else {\n      debugs[set] = function () {};\n    }\n  }\n  return debugs[set];\n};\n\n/**\n * Echos the value of a value. Trys to print the value out\n * in the best way possible given the different types.\n *\n * @param {Object} obj The object to print out.\n * @param {Object} opts Optional options object that alters the output.\n */\n/* legacy: obj, showHidden, depth, colors*/\nfunction inspect(obj, opts) {\n  // default options\n  var ctx = {\n    seen: [],\n    stylize: stylizeNoColor\n  };\n  // legacy...\n  if (arguments.length >= 3) ctx.depth = arguments[2];\n  if (arguments.length >= 4) ctx.colors = arguments[3];\n  if (isBoolean(opts)) {\n    // legacy...\n    ctx.showHidden = opts;\n  } else if (opts) {\n    // got an \"options\" object\n    exports._extend(ctx, opts);\n  }\n  // set default options\n  if (isUndefined(ctx.showHidden)) ctx.showHidden = false;\n  if (isUndefined(ctx.depth)) ctx.depth = 2;\n  if (isUndefined(ctx.colors)) ctx.colors = false;\n  if (isUndefined(ctx.customInspect)) ctx.customInspect = true;\n  if (ctx.colors) ctx.stylize = stylizeWithColor;\n  return formatValue(ctx, obj, ctx.depth);\n}\nexports.inspect = inspect;\n\n// http://en.wikipedia.org/wiki/ANSI_escape_code#graphics\ninspect.colors = {\n  'bold': [1, 22],\n  'italic': [3, 23],\n  'underline': [4, 24],\n  'inverse': [7, 27],\n  'white': [37, 39],\n  'grey': [90, 39],\n  'black': [30, 39],\n  'blue': [34, 39],\n  'cyan': [36, 39],\n  'green': [32, 39],\n  'magenta': [35, 39],\n  'red': [31, 39],\n  'yellow': [33, 39]\n};\n\n// Don't use 'blue' not visible on cmd.exe\ninspect.styles = {\n  'special': 'cyan',\n  'number': 'yellow',\n  'boolean': 'yellow',\n  'undefined': 'grey',\n  'null': 'bold',\n  'string': 'green',\n  'date': 'magenta',\n  // \"name\": intentionally not styling\n  'regexp': 'red'\n};\nfunction stylizeWithColor(str, styleType) {\n  var style = inspect.styles[styleType];\n  if (style) {\n    return '\\u001b[' + inspect.colors[style][0] + 'm' + str + '\\u001b[' + inspect.colors[style][1] + 'm';\n  } else {\n    return str;\n  }\n}\nfunction stylizeNoColor(str, styleType) {\n  return str;\n}\nfunction arrayToHash(array) {\n  var hash = {};\n  array.forEach(function (val, idx) {\n    hash[val] = true;\n  });\n  return hash;\n}\nfunction formatValue(ctx, value, recurseTimes) {\n  // Provide a hook for user-specified inspect functions.\n  // Check that value is an object with an inspect function on it\n  if (ctx.customInspect && value && isFunction(value.inspect) &&\n  // Filter out the util module, it's inspect function is special\n  value.inspect !== exports.inspect &&\n  // Also filter out any prototype objects using the circular check.\n  !(value.constructor && value.constructor.prototype === value)) {\n    var ret = value.inspect(recurseTimes, ctx);\n    if (!isString(ret)) {\n      ret = formatValue(ctx, ret, recurseTimes);\n    }\n    return ret;\n  }\n\n  // Primitive types cannot have properties\n  var primitive = formatPrimitive(ctx, value);\n  if (primitive) {\n    return primitive;\n  }\n\n  // Look up the keys of the object.\n  var keys = Object.keys(value);\n  var visibleKeys = arrayToHash(keys);\n  if (ctx.showHidden) {\n    keys = Object.getOwnPropertyNames(value);\n  }\n\n  // IE doesn't make error fields non-enumerable\n  // http://msdn.microsoft.com/en-us/library/ie/dww52sbt(v=vs.94).aspx\n  if (isError(value) && (keys.indexOf('message') >= 0 || keys.indexOf('description') >= 0)) {\n    return formatError(value);\n  }\n\n  // Some type of object without properties can be shortcutted.\n  if (keys.length === 0) {\n    if (isFunction(value)) {\n      var name = value.name ? ': ' + value.name : '';\n      return ctx.stylize('[Function' + name + ']', 'special');\n    }\n    if (isRegExp(value)) {\n      return ctx.stylize(RegExp.prototype.toString.call(value), 'regexp');\n    }\n    if (isDate(value)) {\n      return ctx.stylize(Date.prototype.toString.call(value), 'date');\n    }\n    if (isError(value)) {\n      return formatError(value);\n    }\n  }\n  var base = '',\n    array = false,\n    braces = ['{', '}'];\n\n  // Make Array say that they are Array\n  if (isArray(value)) {\n    array = true;\n    braces = ['[', ']'];\n  }\n\n  // Make functions say that they are functions\n  if (isFunction(value)) {\n    var n = value.name ? 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'' : base + '\\n ') + ' ' + output.join(',\\n  ') + ' ' + braces[1];\n  }\n  return braces[0] + base + ' ' + output.join(', ') + ' ' + braces[1];\n}\n\n// NOTE: These type checking functions intentionally don't use `instanceof`\n// because it is fragile and can be easily faked with `Object.create()`.\nexports.types = __webpack_require__(/*! ./support/types */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/util/support/types.js\");\nfunction isArray(ar) {\n  return Array.isArray(ar);\n}\nexports.isArray = isArray;\nfunction isBoolean(arg) {\n  return typeof arg === 'boolean';\n}\nexports.isBoolean = isBoolean;\nfunction isNull(arg) {\n  return arg === null;\n}\nexports.isNull = isNull;\nfunction isNullOrUndefined(arg) {\n  return arg == null;\n}\nexports.isNullOrUndefined = isNullOrUndefined;\nfunction isNumber(arg) {\n  return typeof arg === 'number';\n}\nexports.isNumber = isNumber;\nfunction isString(arg) {\n  return typeof arg === 'string';\n}\nexports.isString = isString;\nfunction isSymbol(arg) {\n  return typeof arg === 'symbol';\n}\nexports.isSymbol = isSymbol;\nfunction isUndefined(arg) {\n  return arg === void 0;\n}\nexports.isUndefined = isUndefined;\nfunction isRegExp(re) {\n  return isObject(re) && objectToString(re) === '[object RegExp]';\n}\nexports.isRegExp = isRegExp;\nexports.types.isRegExp = isRegExp;\nfunction isObject(arg) {\n  return typeof arg === 'object' && arg !== null;\n}\nexports.isObject = isObject;\nfunction isDate(d) {\n  return isObject(d) && objectToString(d) === '[object Date]';\n}\nexports.isDate = isDate;\nexports.types.isDate = isDate;\nfunction isError(e) {\n  return isObject(e) && (objectToString(e) === '[object Error]' || e instanceof Error);\n}\nexports.isError = isError;\nexports.types.isNativeError = isError;\nfunction isFunction(arg) {\n  return typeof arg === 'function';\n}\nexports.isFunction = isFunction;\nfunction isPrimitive(arg) {\n  return arg === null || typeof arg === 'boolean' || typeof arg === 'number' || typeof arg === 'string' || typeof arg === 'symbol' ||\n  // ES6 symbol\n  typeof arg === 'undefined';\n}\nexports.isPrimitive = isPrimitive;\nexports.isBuffer = __webpack_require__(/*! ./support/isBuffer */ \"./node_modules/node-polyfill-webpack-plugin/node_modules/util/support/isBufferBrowser.js\");\nfunction objectToString(o) {\n  return Object.prototype.toString.call(o);\n}\nfunction pad(n) {\n  return n < 10 ? '0' + n.toString(10) : n.toString(10);\n}\nvar months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'];\n\n// 26 Feb 16:19:34\nfunction timestamp() {\n  var d = new Date();\n  var time = [pad(d.getHours()), pad(d.getMinutes()), pad(d.getSeconds())].join(':');\n  return [d.getDate(), months[d.getMonth()], time].join(' ');\n}\n\n// log is just a thin wrapper to console.log that prepends a timestamp\nexports.log = function () {\n  console.log('%s - %s', timestamp(), exports.format.apply(exports, arguments));\n};\n\n/**\n * Inherit the prototype methods from one constructor into another.\n *\n * The Function.prototype.inherits from lang.js rewritten as a standalone\n * function (not on Function.prototype). NOTE: If this file is to be loaded\n * during bootstrapping this function needs to be rewritten using some native\n * functions as prototype setup using normal JavaScript does not work as\n * expected during bootstrapping (see mirror.js in r114903).\n *\n * @param {function} ctor Constructor function which needs to inherit the\n *     prototype.\n * @param {function} superCtor Constructor function to inherit prototype from.\n */\nexports.inherits = __webpack_require__(/*! inherits */ \"./node_modules/inherits/inherits_browser.js\");\nexports._extend = function (origin, add) {\n  // Don't do anything if add isn't an object\n  if (!add || !isObject(add)) return origin;\n  var keys = Object.keys(add);\n  var i = keys.length;\n  while (i--) {\n    origin[keys[i]] = add[keys[i]];\n  }\n  return origin;\n};\nfunction hasOwnProperty(obj, prop) {\n  return Object.prototype.hasOwnProperty.call(obj, prop);\n}\nvar kCustomPromisifiedSymbol = typeof Symbol !== 'undefined' ? Symbol('util.promisify.custom') : undefined;\nexports.promisify = function promisify(original) {\n  if (typeof original !== 'function') throw new TypeError('The \"original\" argument must be of type Function');\n  if (kCustomPromisifiedSymbol && original[kCustomPromisifiedSymbol]) {\n    var fn = original[kCustomPromisifiedSymbol];\n    if (typeof fn !== 'function') {\n      throw new TypeError('The \"util.promisify.custom\" argument must be of type Function');\n    }\n    Object.defineProperty(fn, kCustomPromisifiedSymbol, {\n      value: fn,\n      enumerable: false,\n      writable: false,\n      configurable: true\n    });\n    return fn;\n  }\n  function fn() {\n    var promiseResolve, promiseReject;\n    var promise = new Promise(function (resolve, reject) {\n      promiseResolve = resolve;\n      promiseReject = reject;\n    });\n    var args = [];\n    for (var i = 0; i < arguments.length; i++) {\n      args.push(arguments[i]);\n    }\n    args.push(function (err, value) {\n      if (err) {\n        promiseReject(err);\n      } else {\n        promiseResolve(value);\n      }\n    });\n    try {\n      original.apply(this, args);\n    } catch (err) {\n      promiseReject(err);\n    }\n    return promise;\n  }\n  Object.setPrototypeOf(fn, Object.getPrototypeOf(original));\n  if (kCustomPromisifiedSymbol) Object.defineProperty(fn, kCustomPromisifiedSymbol, {\n    value: fn,\n    enumerable: false,\n    writable: false,\n    configurable: true\n  });\n  return Object.defineProperties(fn, getOwnPropertyDescriptors(original));\n};\nexports.promisify.custom = kCustomPromisifiedSymbol;\nfunction callbackifyOnRejected(reason, cb) {\n  // `!reason` guard inspired by bluebird (Ref: https://goo.gl/t5IS6M).\n  // Because `null` is a special error value in callbacks which means \"no error\n  // occurred\", we error-wrap so the callback consumer can distinguish between\n  // \"the promise rejected with null\" or \"the promise fulfilled with undefined\".\n  if (!reason) {\n    var newReason = new Error('Promise was rejected with a falsy value');\n    newReason.reason = reason;\n    reason = newReason;\n  }\n  return cb(reason);\n}\nfunction callbackify(original) {\n  if (typeof original !== 'function') {\n    throw new TypeError('The \"original\" argument must be of type Function');\n  }\n\n  // We DO NOT return the promise as it gives the user a false sense that\n  // the promise is actually somehow related to the callback's execution\n  // and that the callback throwing will reject the promise.\n  function callbackified() {\n    var args = [];\n    for (var i = 0; i < arguments.length; i++) {\n      args.push(arguments[i]);\n    }\n    var maybeCb = args.pop();\n    if (typeof maybeCb !== 'function') {\n      throw new TypeError('The last argument must be of type Function');\n    }\n    var self = this;\n    var cb = function () {\n      return maybeCb.apply(self, arguments);\n    };\n    // In true node style we process the callback on `nextTick` with all the\n    // implications (stack, `uncaughtException`, `async_hooks`)\n    original.apply(this, args).then(function (ret) {\n      process.nextTick(cb.bind(null, null, ret));\n    }, function (rej) {\n      process.nextTick(callbackifyOnRejected.bind(null, rej, cb));\n    });\n  }\n  Object.setPrototypeOf(callbackified, Object.getPrototypeOf(original));\n  Object.defineProperties(callbackified, getOwnPropertyDescriptors(original));\n  return callbackified;\n}\nexports.callbackify = callbackify;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/node-polyfill-webpack-plugin/node_modules/util/util.js?");
-
-/***/ }),
-
-/***/ "./node_modules/normalize-wheel/index.js":
-/*!***********************************************!*\
-  !*** ./node_modules/normalize-wheel/index.js ***!
-  \***********************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-eval("module.exports = __webpack_require__(/*! ./src/normalizeWheel.js */ \"./node_modules/normalize-wheel/src/normalizeWheel.js\");\n\n//# sourceURL=webpack://JCM-AI/./node_modules/normalize-wheel/index.js?");
-
-/***/ }),
-
-/***/ "./node_modules/normalize-wheel/src/ExecutionEnvironment.js":
-/*!******************************************************************!*\
-  !*** ./node_modules/normalize-wheel/src/ExecutionEnvironment.js ***!
-  \******************************************************************/
-/***/ (function(module) {
-
-"use strict";
-eval("/**\n * Copyright (c) 2015, Facebook, Inc.\n * All rights reserved.\n *\n * This source code is licensed under the BSD-style license found in the\n * LICENSE file in the root directory of this source tree. An additional grant\n * of patent rights can be found in the PATENTS file in the same directory.\n *\n * @providesModule ExecutionEnvironment\n */\n\n/*jslint evil: true */\n\n\n\nvar canUseDOM = !!(typeof window !== 'undefined' && window.document && window.document.createElement);\n\n/**\n * Simple, lightweight module assisting with the detection and context of\n * Worker. Helps avoid circular dependencies and allows code to reason about\n * whether or not they are in a Worker, even if they never include the main\n * `ReactWorker` dependency.\n */\nvar ExecutionEnvironment = {\n  canUseDOM: canUseDOM,\n  canUseWorkers: typeof Worker !== 'undefined',\n  canUseEventListeners: canUseDOM && !!(window.addEventListener || window.attachEvent),\n  canUseViewport: canUseDOM && !!window.screen,\n  isInWorker: !canUseDOM // For now, this is true - might change in the future.\n};\n\nmodule.exports = ExecutionEnvironment;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/normalize-wheel/src/ExecutionEnvironment.js?");
-
-/***/ }),
-
-/***/ "./node_modules/normalize-wheel/src/UserAgent_DEPRECATED.js":
-/*!******************************************************************!*\
-  !*** ./node_modules/normalize-wheel/src/UserAgent_DEPRECATED.js ***!
-  \******************************************************************/
-/***/ (function(module) {
-
-eval("/**\n * Copyright 2004-present Facebook. All Rights Reserved.\n *\n * @providesModule UserAgent_DEPRECATED\n */\n\n/**\n *  Provides entirely client-side User Agent and OS detection. You should prefer\n *  the non-deprecated UserAgent module when possible, which exposes our\n *  authoritative server-side PHP-based detection to the client.\n *\n *  Usage is straightforward:\n *\n *    if (UserAgent_DEPRECATED.ie()) {\n *      //  IE\n *    }\n *\n *  You can also do version checks:\n *\n *    if (UserAgent_DEPRECATED.ie() >= 7) {\n *      //  IE7 or better\n *    }\n *\n *  The browser functions will return NaN if the browser does not match, so\n *  you can also do version compares the other way:\n *\n *    if (UserAgent_DEPRECATED.ie() < 7) {\n *      //  IE6 or worse\n *    }\n *\n *  Note that the version is a float and may include a minor version number,\n *  so you should always use range operators to perform comparisons, not\n *  strict equality.\n *\n *  **Note:** You should **strongly** prefer capability detection to browser\n *  version detection where it's reasonable:\n *\n *    http://www.quirksmode.org/js/support.html\n *\n *  Further, we have a large number of mature wrapper functions and classes\n *  which abstract away many browser irregularities. Check the documentation,\n *  grep for things, or ask on javascript@lists.facebook.com before writing yet\n *  another copy of \"event || window.event\".\n *\n */\n\nvar _populated = false;\n\n// Browsers\nvar _ie, _firefox, _opera, _webkit, _chrome;\n\n// Actual IE browser for compatibility mode\nvar _ie_real_version;\n\n// Platforms\nvar _osx, _windows, _linux, _android;\n\n// Architectures\nvar _win64;\n\n// Devices\nvar _iphone, _ipad, _native;\nvar _mobile;\nfunction _populate() {\n  if (_populated) {\n    return;\n  }\n  _populated = true;\n\n  // To work around buggy JS libraries that can't handle multi-digit\n  // version numbers, Opera 10's user agent string claims it's Opera\n  // 9, then later includes a Version/X.Y field:\n  //\n  // Opera/9.80 (foo) Presto/2.2.15 Version/10.10\n  var uas = navigator.userAgent;\n  var agent = /(?:MSIE.(\\d+\\.\\d+))|(?:(?:Firefox|GranParadiso|Iceweasel).(\\d+\\.\\d+))|(?:Opera(?:.+Version.|.)(\\d+\\.\\d+))|(?:AppleWebKit.(\\d+(?:\\.\\d+)?))|(?:Trident\\/\\d+\\.\\d+.*rv:(\\d+\\.\\d+))/.exec(uas);\n  var os = /(Mac OS X)|(Windows)|(Linux)/.exec(uas);\n  _iphone = /\\b(iPhone|iP[ao]d)/.exec(uas);\n  _ipad = /\\b(iP[ao]d)/.exec(uas);\n  _android = /Android/i.exec(uas);\n  _native = /FBAN\\/\\w+;/i.exec(uas);\n  _mobile = /Mobile/i.exec(uas);\n\n  // Note that the IE team blog would have you believe you should be checking\n  // for 'Win64; x64'.  But MSDN then reveals that you can actually be coming\n  // from either x64 or ia64;  so ultimately, you should just check for Win64\n  // as in indicator of whether you're in 64-bit IE.  32-bit IE on 64-bit\n  // Windows will send 'WOW64' instead.\n  _win64 = !!/Win64/.exec(uas);\n  if (agent) {\n    _ie = agent[1] ? parseFloat(agent[1]) : agent[5] ? parseFloat(agent[5]) : NaN;\n    // IE compatibility mode\n    if (_ie && document && document.documentMode) {\n      _ie = document.documentMode;\n    }\n    // grab the \"true\" ie version from the trident token if available\n    var trident = /(?:Trident\\/(\\d+.\\d+))/.exec(uas);\n    _ie_real_version = trident ? parseFloat(trident[1]) + 4 : _ie;\n    _firefox = agent[2] ? parseFloat(agent[2]) : NaN;\n    _opera = agent[3] ? parseFloat(agent[3]) : NaN;\n    _webkit = agent[4] ? parseFloat(agent[4]) : NaN;\n    if (_webkit) {\n      // We do not add the regexp to the above test, because it will always\n      // match 'safari' only since 'AppleWebKit' appears before 'Chrome' in\n      // the userAgent string.\n      agent = /(?:Chrome\\/(\\d+\\.\\d+))/.exec(uas);\n      _chrome = agent && agent[1] ? parseFloat(agent[1]) : NaN;\n    } else {\n      _chrome = NaN;\n    }\n  } else {\n    _ie = _firefox = _opera = _chrome = _webkit = NaN;\n  }\n  if (os) {\n    if (os[1]) {\n      // Detect OS X version.  If no version number matches, set _osx to true.\n      // Version examples:  10, 10_6_1, 10.7\n      // Parses version number as a float, taking only first two sets of\n      // digits.  If only one set of digits is found, returns just the major\n      // version number.\n      var ver = /(?:Mac OS X (\\d+(?:[._]\\d+)?))/.exec(uas);\n      _osx = ver ? parseFloat(ver[1].replace('_', '.')) : true;\n    } else {\n      _osx = false;\n    }\n    _windows = !!os[2];\n    _linux = !!os[3];\n  } else {\n    _osx = _windows = _linux = false;\n  }\n}\nvar UserAgent_DEPRECATED = {\n  /**\n   *  Check if the UA is Internet Explorer.\n   *\n   *\n   *  @return float|NaN Version number (if match) or NaN.\n   */\n  ie: function () {\n    return _populate() || _ie;\n  },\n  /**\n   * Check if we're in Internet Explorer compatibility mode.\n   *\n   * @return bool true if in compatibility mode, false if\n   * not compatibility mode or not ie\n   */\n  ieCompatibilityMode: function () {\n    return _populate() || _ie_real_version > _ie;\n  },\n  /**\n   * Whether the browser is 64-bit IE.  Really, this is kind of weak sauce;  we\n   * only need this because Skype can't handle 64-bit IE yet.  We need to remove\n   * this when we don't need it -- tracked by #601957.\n   */\n  ie64: function () {\n    return UserAgent_DEPRECATED.ie() && _win64;\n  },\n  /**\n   *  Check if the UA is Firefox.\n   *\n   *\n   *  @return float|NaN Version number (if match) or NaN.\n   */\n  firefox: function () {\n    return _populate() || _firefox;\n  },\n  /**\n   *  Check if the UA is Opera.\n   *\n   *\n   *  @return float|NaN Version number (if match) or NaN.\n   */\n  opera: function () {\n    return _populate() || _opera;\n  },\n  /**\n   *  Check if the UA is WebKit.\n   *\n   *\n   *  @return float|NaN Version number (if match) or NaN.\n   */\n  webkit: function () {\n    return _populate() || _webkit;\n  },\n  /**\n   *  For Push\n   *  WILL BE REMOVED VERY SOON. Use UserAgent_DEPRECATED.webkit\n   */\n  safari: function () {\n    return UserAgent_DEPRECATED.webkit();\n  },\n  /**\n   *  Check if the UA is a Chrome browser.\n   *\n   *\n   *  @return float|NaN Version number (if match) or NaN.\n   */\n  chrome: function () {\n    return _populate() || _chrome;\n  },\n  /**\n   *  Check if the user is running Windows.\n   *\n   *  @return bool `true' if the user's OS is Windows.\n   */\n  windows: function () {\n    return _populate() || _windows;\n  },\n  /**\n   *  Check if the user is running Mac OS X.\n   *\n   *  @return float|bool   Returns a float if a version number is detected,\n   *                       otherwise true/false.\n   */\n  osx: function () {\n    return _populate() || _osx;\n  },\n  /**\n   * Check if the user is running Linux.\n   *\n   * @return bool `true' if the user's OS is some flavor of Linux.\n   */\n  linux: function () {\n    return _populate() || _linux;\n  },\n  /**\n   * Check if the user is running on an iPhone or iPod platform.\n   *\n   * @return bool `true' if the user is running some flavor of the\n   *    iPhone OS.\n   */\n  iphone: function () {\n    return _populate() || _iphone;\n  },\n  mobile: function () {\n    return _populate() || _iphone || _ipad || _android || _mobile;\n  },\n  nativeApp: function () {\n    // webviews inside of the native apps\n    return _populate() || _native;\n  },\n  android: function () {\n    return _populate() || _android;\n  },\n  ipad: function () {\n    return _populate() || _ipad;\n  }\n};\nmodule.exports = UserAgent_DEPRECATED;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/normalize-wheel/src/UserAgent_DEPRECATED.js?");
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-/***/ }),
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-/***/ "./node_modules/normalize-wheel/src/isEventSupported.js":
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-  !*** ./node_modules/normalize-wheel/src/isEventSupported.js ***!
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-"use strict";
-eval("/**\n * Copyright 2013-2015, Facebook, Inc.\n * All rights reserved.\n *\n * This source code is licensed under the BSD-style license found in the\n * LICENSE file in the root directory of this source tree. An additional grant\n * of patent rights can be found in the PATENTS file in the same directory.\n *\n * @providesModule isEventSupported\n */\n\n\n\nvar ExecutionEnvironment = __webpack_require__(/*! ./ExecutionEnvironment */ \"./node_modules/normalize-wheel/src/ExecutionEnvironment.js\");\nvar useHasFeature;\nif (ExecutionEnvironment.canUseDOM) {\n  useHasFeature = document.implementation && document.implementation.hasFeature &&\n  // always returns true in newer browsers as per the standard.\n  // @see http://dom.spec.whatwg.org/#dom-domimplementation-hasfeature\n  document.implementation.hasFeature('', '') !== true;\n}\n\n/**\n * Checks if an event is supported in the current execution environment.\n *\n * NOTE: This will not work correctly for non-generic events such as `change`,\n * `reset`, `load`, `error`, and `select`.\n *\n * Borrows from Modernizr.\n *\n * @param {string} eventNameSuffix Event name, e.g. \"click\".\n * @param {?boolean} capture Check if the capture phase is supported.\n * @return {boolean} True if the event is supported.\n * @internal\n * @license Modernizr 3.0.0pre (Custom Build) | MIT\n */\nfunction isEventSupported(eventNameSuffix, capture) {\n  if (!ExecutionEnvironment.canUseDOM || capture && !('addEventListener' in document)) {\n    return false;\n  }\n  var eventName = 'on' + eventNameSuffix;\n  var isSupported = (eventName in document);\n  if (!isSupported) {\n    var element = document.createElement('div');\n    element.setAttribute(eventName, 'return;');\n    isSupported = typeof element[eventName] === 'function';\n  }\n  if (!isSupported && useHasFeature && eventNameSuffix === 'wheel') {\n    // This is the only way to test support for the `wheel` event in IE9+.\n    isSupported = document.implementation.hasFeature('Events.wheel', '3.0');\n  }\n  return isSupported;\n}\nmodule.exports = isEventSupported;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/normalize-wheel/src/isEventSupported.js?");
-
-/***/ }),
-
-/***/ "./node_modules/normalize-wheel/src/normalizeWheel.js":
-/*!************************************************************!*\
-  !*** ./node_modules/normalize-wheel/src/normalizeWheel.js ***!
-  \************************************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-"use strict";
-eval("/**\n * Copyright (c) 2015, Facebook, Inc.\n * All rights reserved.\n *\n * This source code is licensed under the BSD-style license found in the\n * LICENSE file in the root directory of this source tree. An additional grant\n * of patent rights can be found in the PATENTS file in the same directory.\n *\n * @providesModule normalizeWheel\n * @typechecks\n */\n\n\n\nvar UserAgent_DEPRECATED = __webpack_require__(/*! ./UserAgent_DEPRECATED */ \"./node_modules/normalize-wheel/src/UserAgent_DEPRECATED.js\");\nvar isEventSupported = __webpack_require__(/*! ./isEventSupported */ \"./node_modules/normalize-wheel/src/isEventSupported.js\");\n\n// Reasonable defaults\nvar PIXEL_STEP = 10;\nvar LINE_HEIGHT = 40;\nvar PAGE_HEIGHT = 800;\n\n/**\n * Mouse wheel (and 2-finger trackpad) support on the web sucks.  It is\n * complicated, thus this doc is long and (hopefully) detailed enough to answer\n * your questions.\n *\n * If you need to react to the mouse wheel in a predictable way, this code is\n * like your bestest friend. * hugs *\n *\n * As of today, there are 4 DOM event types you can listen to:\n *\n *   'wheel'                -- Chrome(31+), FF(17+), IE(9+)\n *   'mousewheel'           -- Chrome, IE(6+), Opera, Safari\n *   'MozMousePixelScroll'  -- FF(3.5 only!) (2010-2013) -- don't bother!\n *   'DOMMouseScroll'       -- FF(0.9.7+) since 2003\n *\n * So what to do?  The is the best:\n *\n *   normalizeWheel.getEventType();\n *\n * In your event callback, use this code to get sane interpretation of the\n * deltas.  This code will return an object with properties:\n *\n *   spinX   -- normalized spin speed (use for zoom) - x plane\n *   spinY   -- \" - y plane\n *   pixelX  -- normalized distance (to pixels) - x plane\n *   pixelY  -- \" - y plane\n *\n * Wheel values are provided by the browser assuming you are using the wheel to\n * scroll a web page by a number of lines or pixels (or pages).  Values can vary\n * significantly on different platforms and browsers, forgetting that you can\n * scroll at different speeds.  Some devices (like trackpads) emit more events\n * at smaller increments with fine granularity, and some emit massive jumps with\n * linear speed or acceleration.\n *\n * This code does its best to normalize the deltas for you:\n *\n *   - spin is trying to normalize how far the wheel was spun (or trackpad\n *     dragged).  This is super useful for zoom support where you want to\n *     throw away the chunky scroll steps on the PC and make those equal to\n *     the slow and smooth tiny steps on the Mac. Key data: This code tries to\n *     resolve a single slow step on a wheel to 1.\n *\n *   - pixel is normalizing the desired scroll delta in pixel units.  You'll\n *     get the crazy differences between browsers, but at least it'll be in\n *     pixels!\n *\n *   - positive value indicates scrolling DOWN/RIGHT, negative UP/LEFT.  This\n *     should translate to positive value zooming IN, negative zooming OUT.\n *     This matches the newer 'wheel' event.\n *\n * Why are there spinX, spinY (or pixels)?\n *\n *   - spinX is a 2-finger side drag on the trackpad, and a shift + wheel turn\n *     with a mouse.  It results in side-scrolling in the browser by default.\n *\n *   - spinY is what you expect -- it's the classic axis of a mouse wheel.\n *\n *   - I dropped spinZ/pixelZ.  It is supported by the DOM 3 'wheel' event and\n *     probably is by browsers in conjunction with fancy 3D controllers .. but\n *     you know.\n *\n * Implementation info:\n *\n * Examples of 'wheel' event if you scroll slowly (down) by one step with an\n * average mouse:\n *\n *   OS X + Chrome  (mouse)     -    4   pixel delta  (wheelDelta -120)\n *   OS X + Safari  (mouse)     -  N/A   pixel delta  (wheelDelta  -12)\n *   OS X + Firefox (mouse)     -    0.1 line  delta  (wheelDelta  N/A)\n *   Win8 + Chrome  (mouse)     -  100   pixel delta  (wheelDelta -120)\n *   Win8 + Firefox (mouse)     -    3   line  delta  (wheelDelta -120)\n *\n * On the trackpad:\n *\n *   OS X + Chrome  (trackpad)  -    2   pixel delta  (wheelDelta   -6)\n *   OS X + Firefox (trackpad)  -    1   pixel delta  (wheelDelta  N/A)\n *\n * On other/older browsers.. it's more complicated as there can be multiple and\n * also missing delta values.\n *\n * The 'wheel' event is more standard:\n *\n * http://www.w3.org/TR/DOM-Level-3-Events/#events-wheelevents\n *\n * The basics is that it includes a unit, deltaMode (pixels, lines, pages), and\n * deltaX, deltaY and deltaZ.  Some browsers provide other values to maintain\n * backward compatibility with older events.  Those other values help us\n * better normalize spin speed.  Example of what the browsers provide:\n *\n *                          | event.wheelDelta | event.detail\n *        ------------------+------------------+--------------\n *          Safari v5/OS X  |       -120       |       0\n *          Safari v5/Win7  |       -120       |       0\n *         Chrome v17/OS X  |       -120       |       0\n *         Chrome v17/Win7  |       -120       |       0\n *                IE9/Win7  |       -120       |   undefined\n *         Firefox v4/OS X  |     undefined    |       1\n *         Firefox v4/Win7  |     undefined    |       3\n *\n */\nfunction normalizeWheel( /*object*/event) /*object*/{\n  var sX = 0,\n    sY = 0,\n    // spinX, spinY\n    pX = 0,\n    pY = 0; // pixelX, pixelY\n\n  // Legacy\n  if ('detail' in event) {\n    sY = event.detail;\n  }\n  if ('wheelDelta' in event) {\n    sY = -event.wheelDelta / 120;\n  }\n  if ('wheelDeltaY' in event) {\n    sY = -event.wheelDeltaY / 120;\n  }\n  if ('wheelDeltaX' in event) {\n    sX = -event.wheelDeltaX / 120;\n  }\n\n  // side scrolling on FF with DOMMouseScroll\n  if ('axis' in event && event.axis === event.HORIZONTAL_AXIS) {\n    sX = sY;\n    sY = 0;\n  }\n  pX = sX * PIXEL_STEP;\n  pY = sY * PIXEL_STEP;\n  if ('deltaY' in event) {\n    pY = event.deltaY;\n  }\n  if ('deltaX' in event) {\n    pX = event.deltaX;\n  }\n  if ((pX || pY) && event.deltaMode) {\n    if (event.deltaMode == 1) {\n      // delta in LINE units\n      pX *= LINE_HEIGHT;\n      pY *= LINE_HEIGHT;\n    } else {\n      // delta in PAGE units\n      pX *= PAGE_HEIGHT;\n      pY *= PAGE_HEIGHT;\n    }\n  }\n\n  // Fall-back if spin cannot be determined\n  if (pX && !sX) {\n    sX = pX < 1 ? -1 : 1;\n  }\n  if (pY && !sY) {\n    sY = pY < 1 ? -1 : 1;\n  }\n  return {\n    spinX: sX,\n    spinY: sY,\n    pixelX: pX,\n    pixelY: pY\n  };\n}\n\n/**\n * The best combination if you prefer spinX + spinY normalization.  It favors\n * the older DOMMouseScroll for Firefox, as FF does not include wheelDelta with\n * 'wheel' event, making spin speed determination impossible.\n */\nnormalizeWheel.getEventType = function () /*string*/{\n  return UserAgent_DEPRECATED.firefox() ? 'DOMMouseScroll' : isEventSupported('wheel') ? 'wheel' : 'mousewheel';\n};\nmodule.exports = normalizeWheel;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/normalize-wheel/src/normalizeWheel.js?");
-
-/***/ }),
-
-/***/ "./node_modules/object-is/implementation.js":
-/*!**************************************************!*\
-  !*** ./node_modules/object-is/implementation.js ***!
-  \**************************************************/
-/***/ (function(module) {
-
-"use strict";
-eval("\n\nvar numberIsNaN = function (value) {\n  return value !== value;\n};\nmodule.exports = function is(a, b) {\n  if (a === 0 && b === 0) {\n    return 1 / a === 1 / b;\n  }\n  if (a === b) {\n    return true;\n  }\n  if (numberIsNaN(a) && numberIsNaN(b)) {\n    return true;\n  }\n  return false;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/object-is/implementation.js?");
-
-/***/ }),
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-/***/ "./node_modules/object-is/index.js":
-/*!*****************************************!*\
-  !*** ./node_modules/object-is/index.js ***!
-  \*****************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
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-"use strict";
-eval("\n\nvar define = __webpack_require__(/*! define-properties */ \"./node_modules/define-properties/index.js\");\nvar callBind = __webpack_require__(/*! call-bind */ \"./node_modules/call-bind/index.js\");\nvar implementation = __webpack_require__(/*! ./implementation */ \"./node_modules/object-is/implementation.js\");\nvar getPolyfill = __webpack_require__(/*! ./polyfill */ \"./node_modules/object-is/polyfill.js\");\nvar shim = __webpack_require__(/*! ./shim */ \"./node_modules/object-is/shim.js\");\nvar polyfill = callBind(getPolyfill(), Object);\ndefine(polyfill, {\n  getPolyfill: getPolyfill,\n  implementation: implementation,\n  shim: shim\n});\nmodule.exports = polyfill;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/object-is/index.js?");
-
-/***/ }),
-
-/***/ "./node_modules/object-is/polyfill.js":
-/*!********************************************!*\
-  !*** ./node_modules/object-is/polyfill.js ***!
-  \********************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-"use strict";
-eval("\n\nvar implementation = __webpack_require__(/*! ./implementation */ \"./node_modules/object-is/implementation.js\");\nmodule.exports = function getPolyfill() {\n  return typeof Object.is === 'function' ? Object.is : implementation;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/object-is/polyfill.js?");
-
-/***/ }),
-
-/***/ "./node_modules/object-is/shim.js":
-/*!****************************************!*\
-  !*** ./node_modules/object-is/shim.js ***!
-  \****************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-"use strict";
-eval("\n\nvar getPolyfill = __webpack_require__(/*! ./polyfill */ \"./node_modules/object-is/polyfill.js\");\nvar define = __webpack_require__(/*! define-properties */ \"./node_modules/define-properties/index.js\");\nmodule.exports = function shimObjectIs() {\n  var polyfill = getPolyfill();\n  define(Object, {\n    is: polyfill\n  }, {\n    is: function testObjectIs() {\n      return Object.is !== polyfill;\n    }\n  });\n  return polyfill;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/object-is/shim.js?");
-
-/***/ }),
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-/***/ "./node_modules/object-keys/implementation.js":
-/*!****************************************************!*\
-  !*** ./node_modules/object-keys/implementation.js ***!
-  \****************************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-"use strict";
-eval("\n\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\nvar keysShim;\nif (!Object.keys) {\n  // modified from https://github.com/es-shims/es5-shim\n  var has = Object.prototype.hasOwnProperty;\n  var toStr = Object.prototype.toString;\n  var isArgs = __webpack_require__(/*! ./isArguments */ \"./node_modules/object-keys/isArguments.js\"); // eslint-disable-line global-require\n  var isEnumerable = Object.prototype.propertyIsEnumerable;\n  var hasDontEnumBug = !isEnumerable.call({\n    toString: null\n  }, 'toString');\n  var hasProtoEnumBug = isEnumerable.call(function () {}, 'prototype');\n  var dontEnums = ['toString', 'toLocaleString', 'valueOf', 'hasOwnProperty', 'isPrototypeOf', 'propertyIsEnumerable', 'constructor'];\n  var equalsConstructorPrototype = function (o) {\n    var ctor = o.constructor;\n    return ctor && ctor.prototype === o;\n  };\n  var excludedKeys = {\n    $applicationCache: true,\n    $console: true,\n    $external: true,\n    $frame: true,\n    $frameElement: true,\n    $frames: true,\n    $innerHeight: true,\n    $innerWidth: true,\n    $onmozfullscreenchange: true,\n    $onmozfullscreenerror: true,\n    $outerHeight: true,\n    $outerWidth: true,\n    $pageXOffset: true,\n    $pageYOffset: true,\n    $parent: true,\n    $scrollLeft: true,\n    $scrollTop: true,\n    $scrollX: true,\n    $scrollY: true,\n    $self: true,\n    $webkitIndexedDB: true,\n    $webkitStorageInfo: true,\n    $window: true\n  };\n  var hasAutomationEqualityBug = function () {\n    /* global window */\n    if (typeof window === 'undefined') {\n      return false;\n    }\n    for (var k in window) {\n      try {\n        if (!excludedKeys['$' + k] && has.call(window, k) && window[k] !== null && typeof window[k] === 'object') {\n          try {\n            equalsConstructorPrototype(window[k]);\n          } catch (e) {\n            return true;\n          }\n        }\n      } catch (e) {\n        return true;\n      }\n    }\n    return false;\n  }();\n  var equalsConstructorPrototypeIfNotBuggy = function (o) {\n    /* global window */\n    if (typeof window === 'undefined' || !hasAutomationEqualityBug) {\n      return equalsConstructorPrototype(o);\n    }\n    try {\n      return equalsConstructorPrototype(o);\n    } catch (e) {\n      return false;\n    }\n  };\n  keysShim = function keys(object) {\n    var isObject = object !== null && typeof object === 'object';\n    var isFunction = toStr.call(object) === '[object Function]';\n    var isArguments = isArgs(object);\n    var isString = isObject && toStr.call(object) === '[object String]';\n    var theKeys = [];\n    if (!isObject && !isFunction && !isArguments) {\n      throw new TypeError('Object.keys called on a non-object');\n    }\n    var skipProto = hasProtoEnumBug && isFunction;\n    if (isString && object.length > 0 && !has.call(object, 0)) {\n      for (var i = 0; i < object.length; ++i) {\n        theKeys.push(String(i));\n      }\n    }\n    if (isArguments && object.length > 0) {\n      for (var j = 0; j < object.length; ++j) {\n        theKeys.push(String(j));\n      }\n    } else {\n      for (var name in object) {\n        if (!(skipProto && name === 'prototype') && has.call(object, name)) {\n          theKeys.push(String(name));\n        }\n      }\n    }\n    if (hasDontEnumBug) {\n      var skipConstructor = equalsConstructorPrototypeIfNotBuggy(object);\n      for (var k = 0; k < dontEnums.length; ++k) {\n        if (!(skipConstructor && dontEnums[k] === 'constructor') && has.call(object, dontEnums[k])) {\n          theKeys.push(dontEnums[k]);\n        }\n      }\n    }\n    return theKeys;\n  };\n}\nmodule.exports = keysShim;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/object-keys/implementation.js?");
-
-/***/ }),
-
-/***/ "./node_modules/object-keys/index.js":
-/*!*******************************************!*\
-  !*** ./node_modules/object-keys/index.js ***!
-  \*******************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-"use strict";
-eval("\n\nvar slice = Array.prototype.slice;\nvar isArgs = __webpack_require__(/*! ./isArguments */ \"./node_modules/object-keys/isArguments.js\");\nvar origKeys = Object.keys;\nvar keysShim = origKeys ? function keys(o) {\n  return origKeys(o);\n} : __webpack_require__(/*! ./implementation */ \"./node_modules/object-keys/implementation.js\");\nvar originalKeys = Object.keys;\nkeysShim.shim = function shimObjectKeys() {\n  if (Object.keys) {\n    var keysWorksWithArguments = function () {\n      // Safari 5.0 bug\n      var args = Object.keys(arguments);\n      return args && args.length === arguments.length;\n    }(1, 2);\n    if (!keysWorksWithArguments) {\n      Object.keys = function keys(object) {\n        // eslint-disable-line func-name-matching\n        if (isArgs(object)) {\n          return originalKeys(slice.call(object));\n        }\n        return originalKeys(object);\n      };\n    }\n  } else {\n    Object.keys = keysShim;\n  }\n  return Object.keys || keysShim;\n};\nmodule.exports = keysShim;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/object-keys/index.js?");
-
-/***/ }),
-
-/***/ "./node_modules/object-keys/isArguments.js":
-/*!*************************************************!*\
-  !*** ./node_modules/object-keys/isArguments.js ***!
-  \*************************************************/
-/***/ (function(module) {
-
-"use strict";
-eval("\n\nvar toStr = Object.prototype.toString;\nmodule.exports = function isArguments(value) {\n  var str = toStr.call(value);\n  var isArgs = str === '[object Arguments]';\n  if (!isArgs) {\n    isArgs = str !== '[object Array]' && value !== null && typeof value === 'object' && typeof value.length === 'number' && value.length >= 0 && toStr.call(value.callee) === '[object Function]';\n  }\n  return isArgs;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/object-keys/isArguments.js?");
-
-/***/ }),
-
-/***/ "./node_modules/openai/dist/api.js":
-/*!*****************************************!*\
-  !*** ./node_modules/openai/dist/api.js ***!
-  \*****************************************/
-/***/ (function(__unused_webpack_module, exports, __webpack_require__) {
-
-"use strict";
-eval("\n\n/* tslint:disable */\n/* eslint-disable */\n/**\n * OpenAI API\n * APIs for sampling from and fine-tuning language models\n *\n * The version of the OpenAPI document: 1.2.0\n *\n *\n * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).\n * https://openapi-generator.tech\n * Do not edit the class manually.\n */\nvar __awaiter = this && this.__awaiter || function (thisArg, _arguments, P, generator) {\n  function adopt(value) {\n    return value instanceof P ? value : new P(function (resolve) {\n      resolve(value);\n    });\n  }\n  return new (P || (P = Promise))(function (resolve, reject) {\n    function fulfilled(value) {\n      try {\n        step(generator.next(value));\n      } catch (e) {\n        reject(e);\n      }\n    }\n    function rejected(value) {\n      try {\n        step(generator[\"throw\"](value));\n      } catch (e) {\n        reject(e);\n      }\n    }\n    function step(result) {\n      result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected);\n    }\n    step((generator = generator.apply(thisArg, _arguments || [])).next());\n  });\n};\nObject.defineProperty(exports, \"__esModule\", ({\n  value: true\n}));\nexports.OpenAIApi = exports.OpenAIApiFactory = exports.OpenAIApiFp = exports.OpenAIApiAxiosParamCreator = exports.CreateImageRequestResponseFormatEnum = exports.CreateImageRequestSizeEnum = exports.ChatCompletionResponseMessageRoleEnum = exports.ChatCompletionRequestMessageRoleEnum = void 0;\nconst axios_1 = __webpack_require__(/*! axios */ \"./node_modules/openai/node_modules/axios/index.js\");\n// Some imports not used depending on template conditions\n// @ts-ignore\nconst common_1 = __webpack_require__(/*! ./common */ \"./node_modules/openai/dist/common.js\");\n// @ts-ignore\nconst base_1 = __webpack_require__(/*! ./base */ \"./node_modules/openai/dist/base.js\");\nexports.ChatCompletionRequestMessageRoleEnum = {\n  System: 'system',\n  User: 'user',\n  Assistant: 'assistant'\n};\nexports.ChatCompletionResponseMessageRoleEnum = {\n  System: 'system',\n  User: 'user',\n  Assistant: 'assistant'\n};\nexports.CreateImageRequestSizeEnum = {\n  _256x256: '256x256',\n  _512x512: '512x512',\n  _1024x1024: '1024x1024'\n};\nexports.CreateImageRequestResponseFormatEnum = {\n  Url: 'url',\n  B64Json: 'b64_json'\n};\n/**\n * OpenAIApi - axios parameter creator\n * @export\n */\nexports.OpenAIApiAxiosParamCreator = function (configuration) {\n  return {\n    /**\n     *\n     * @summary Immediately cancel a fine-tune job.\n     * @param {string} fineTuneId The ID of the fine-tune job to cancel\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    cancelFineTune: (fineTuneId, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'fineTuneId' is not null or undefined\n      common_1.assertParamExists('cancelFineTune', 'fineTuneId', fineTuneId);\n      const localVarPath = `/fine-tunes/{fine_tune_id}/cancel`.replace(`{${\"fine_tune_id\"}}`, encodeURIComponent(String(fineTuneId)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Answers the specified question using the provided documents and examples.  The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions).\n     * @param {CreateAnswerRequest} createAnswerRequest\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    createAnswer: (createAnswerRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'createAnswerRequest' is not null or undefined\n      common_1.assertParamExists('createAnswer', 'createAnswerRequest', createAnswerRequest);\n      const localVarPath = `/answers`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createAnswerRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Creates a completion for the chat message\n     * @param {CreateChatCompletionRequest} createChatCompletionRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createChatCompletion: (createChatCompletionRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'createChatCompletionRequest' is not null or undefined\n      common_1.assertParamExists('createChatCompletion', 'createChatCompletionRequest', createChatCompletionRequest);\n      const localVarPath = `/chat/completions`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createChatCompletionRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Classifies the specified `query` using provided examples.  The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint.  Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases.\n     * @param {CreateClassificationRequest} createClassificationRequest\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    createClassification: (createClassificationRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'createClassificationRequest' is not null or undefined\n      common_1.assertParamExists('createClassification', 'createClassificationRequest', createClassificationRequest);\n      const localVarPath = `/classifications`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createClassificationRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Creates a completion for the provided prompt and parameters\n     * @param {CreateCompletionRequest} createCompletionRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createCompletion: (createCompletionRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'createCompletionRequest' is not null or undefined\n      common_1.assertParamExists('createCompletion', 'createCompletionRequest', createCompletionRequest);\n      const localVarPath = `/completions`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createCompletionRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Creates a new edit for the provided input, instruction, and parameters.\n     * @param {CreateEditRequest} createEditRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createEdit: (createEditRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'createEditRequest' is not null or undefined\n      common_1.assertParamExists('createEdit', 'createEditRequest', createEditRequest);\n      const localVarPath = `/edits`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createEditRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Creates an embedding vector representing the input text.\n     * @param {CreateEmbeddingRequest} createEmbeddingRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createEmbedding: (createEmbeddingRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'createEmbeddingRequest' is not null or undefined\n      common_1.assertParamExists('createEmbedding', 'createEmbeddingRequest', createEmbeddingRequest);\n      const localVarPath = `/embeddings`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createEmbeddingRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit.\n     * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded.  If the &#x60;purpose&#x60; is set to \\\\\\&quot;fine-tune\\\\\\&quot;, each line is a JSON record with \\\\\\&quot;prompt\\\\\\&quot; and \\\\\\&quot;completion\\\\\\&quot; fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data).\n     * @param {string} purpose The intended purpose of the uploaded documents.  Use \\\\\\&quot;fine-tune\\\\\\&quot; for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createFile: (file, purpose, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'file' is not null or undefined\n      common_1.assertParamExists('createFile', 'file', file);\n      // verify required parameter 'purpose' is not null or undefined\n      common_1.assertParamExists('createFile', 'purpose', purpose);\n      const localVarPath = `/files`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      const localVarFormParams = new (configuration && configuration.formDataCtor || FormData)();\n      if (file !== undefined) {\n        localVarFormParams.append('file', file);\n      }\n      if (purpose !== undefined) {\n        localVarFormParams.append('purpose', purpose);\n      }\n      localVarHeaderParameter['Content-Type'] = 'multipart/form-data';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = localVarFormParams;\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Creates a job that fine-tunes a specified model from a given dataset.  Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.  [Learn more about Fine-tuning](/docs/guides/fine-tuning)\n     * @param {CreateFineTuneRequest} createFineTuneRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createFineTune: (createFineTuneRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'createFineTuneRequest' is not null or undefined\n      common_1.assertParamExists('createFineTune', 'createFineTuneRequest', createFineTuneRequest);\n      const localVarPath = `/fine-tunes`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createFineTuneRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Creates an image given a prompt.\n     * @param {CreateImageRequest} createImageRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createImage: (createImageRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'createImageRequest' is not null or undefined\n      common_1.assertParamExists('createImage', 'createImageRequest', createImageRequest);\n      const localVarPath = `/images/generations`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createImageRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Creates an edited or extended image given an original image and a prompt.\n     * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask.\n     * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters.\n     * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where &#x60;image&#x60; should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as &#x60;image&#x60;.\n     * @param {number} [n] The number of images to generate. Must be between 1 and 10.\n     * @param {string} [size] The size of the generated images. Must be one of &#x60;256x256&#x60;, &#x60;512x512&#x60;, or &#x60;1024x1024&#x60;.\n     * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of &#x60;url&#x60; or &#x60;b64_json&#x60;.\n     * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createImageEdit: (image, prompt, mask, n, size, responseFormat, user, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'image' is not null or undefined\n      common_1.assertParamExists('createImageEdit', 'image', image);\n      // verify required parameter 'prompt' is not null or undefined\n      common_1.assertParamExists('createImageEdit', 'prompt', prompt);\n      const localVarPath = `/images/edits`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      const localVarFormParams = new (configuration && configuration.formDataCtor || FormData)();\n      if (image !== undefined) {\n        localVarFormParams.append('image', image);\n      }\n      if (mask !== undefined) {\n        localVarFormParams.append('mask', mask);\n      }\n      if (prompt !== undefined) {\n        localVarFormParams.append('prompt', prompt);\n      }\n      if (n !== undefined) {\n        localVarFormParams.append('n', n);\n      }\n      if (size !== undefined) {\n        localVarFormParams.append('size', size);\n      }\n      if (responseFormat !== undefined) {\n        localVarFormParams.append('response_format', responseFormat);\n      }\n      if (user !== undefined) {\n        localVarFormParams.append('user', user);\n      }\n      localVarHeaderParameter['Content-Type'] = 'multipart/form-data';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = localVarFormParams;\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Creates a variation of a given image.\n     * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square.\n     * @param {number} [n] The number of images to generate. Must be between 1 and 10.\n     * @param {string} [size] The size of the generated images. Must be one of &#x60;256x256&#x60;, &#x60;512x512&#x60;, or &#x60;1024x1024&#x60;.\n     * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of &#x60;url&#x60; or &#x60;b64_json&#x60;.\n     * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createImageVariation: (image, n, size, responseFormat, user, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'image' is not null or undefined\n      common_1.assertParamExists('createImageVariation', 'image', image);\n      const localVarPath = `/images/variations`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      const localVarFormParams = new (configuration && configuration.formDataCtor || FormData)();\n      if (image !== undefined) {\n        localVarFormParams.append('image', image);\n      }\n      if (n !== undefined) {\n        localVarFormParams.append('n', n);\n      }\n      if (size !== undefined) {\n        localVarFormParams.append('size', size);\n      }\n      if (responseFormat !== undefined) {\n        localVarFormParams.append('response_format', responseFormat);\n      }\n      if (user !== undefined) {\n        localVarFormParams.append('user', user);\n      }\n      localVarHeaderParameter['Content-Type'] = 'multipart/form-data';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = localVarFormParams;\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Classifies if text violates OpenAI\\'s Content Policy\n     * @param {CreateModerationRequest} createModerationRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createModeration: (createModerationRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'createModerationRequest' is not null or undefined\n      common_1.assertParamExists('createModeration', 'createModerationRequest', createModerationRequest);\n      const localVarPath = `/moderations`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createModerationRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them.  To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores.  The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query.\n     * @param {string} engineId The ID of the engine to use for this request.  You can select one of &#x60;ada&#x60;, &#x60;babbage&#x60;, &#x60;curie&#x60;, or &#x60;davinci&#x60;.\n     * @param {CreateSearchRequest} createSearchRequest\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    createSearch: (engineId, createSearchRequest, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'engineId' is not null or undefined\n      common_1.assertParamExists('createSearch', 'engineId', engineId);\n      // verify required parameter 'createSearchRequest' is not null or undefined\n      common_1.assertParamExists('createSearch', 'createSearchRequest', createSearchRequest);\n      const localVarPath = `/engines/{engine_id}/search`.replace(`{${\"engine_id\"}}`, encodeURIComponent(String(engineId)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      localVarHeaderParameter['Content-Type'] = 'application/json';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = common_1.serializeDataIfNeeded(createSearchRequest, localVarRequestOptions, configuration);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Transcribes audio into the input language.\n     * @param {File} file The audio file to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n     * @param {string} model ID of the model to use. Only &#x60;whisper-1&#x60; is currently available.\n     * @param {string} [prompt] An optional text to guide the model\\\\\\&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.\n     * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n     * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n     * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createTranscription: (file, model, prompt, responseFormat, temperature, language, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'file' is not null or undefined\n      common_1.assertParamExists('createTranscription', 'file', file);\n      // verify required parameter 'model' is not null or undefined\n      common_1.assertParamExists('createTranscription', 'model', model);\n      const localVarPath = `/audio/transcriptions`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      const localVarFormParams = new (configuration && configuration.formDataCtor || FormData)();\n      if (file !== undefined) {\n        localVarFormParams.append('file', file);\n      }\n      if (model !== undefined) {\n        localVarFormParams.append('model', model);\n      }\n      if (prompt !== undefined) {\n        localVarFormParams.append('prompt', prompt);\n      }\n      if (responseFormat !== undefined) {\n        localVarFormParams.append('response_format', responseFormat);\n      }\n      if (temperature !== undefined) {\n        localVarFormParams.append('temperature', temperature);\n      }\n      if (language !== undefined) {\n        localVarFormParams.append('language', language);\n      }\n      localVarHeaderParameter['Content-Type'] = 'multipart/form-data';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = localVarFormParams;\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Translates audio into into English.\n     * @param {File} file The audio file to translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n     * @param {string} model ID of the model to use. Only &#x60;whisper-1&#x60; is currently available.\n     * @param {string} [prompt] An optional text to guide the model\\\\\\&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English.\n     * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n     * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createTranslation: (file, model, prompt, responseFormat, temperature, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'file' is not null or undefined\n      common_1.assertParamExists('createTranslation', 'file', file);\n      // verify required parameter 'model' is not null or undefined\n      common_1.assertParamExists('createTranslation', 'model', model);\n      const localVarPath = `/audio/translations`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'POST'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      const localVarFormParams = new (configuration && configuration.formDataCtor || FormData)();\n      if (file !== undefined) {\n        localVarFormParams.append('file', file);\n      }\n      if (model !== undefined) {\n        localVarFormParams.append('model', model);\n      }\n      if (prompt !== undefined) {\n        localVarFormParams.append('prompt', prompt);\n      }\n      if (responseFormat !== undefined) {\n        localVarFormParams.append('response_format', responseFormat);\n      }\n      if (temperature !== undefined) {\n        localVarFormParams.append('temperature', temperature);\n      }\n      localVarHeaderParameter['Content-Type'] = 'multipart/form-data';\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), localVarFormParams.getHeaders()), headersFromBaseOptions), options.headers);\n      localVarRequestOptions.data = localVarFormParams;\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Delete a file.\n     * @param {string} fileId The ID of the file to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    deleteFile: (fileId, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'fileId' is not null or undefined\n      common_1.assertParamExists('deleteFile', 'fileId', fileId);\n      const localVarPath = `/files/{file_id}`.replace(`{${\"file_id\"}}`, encodeURIComponent(String(fileId)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'DELETE'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Delete a fine-tuned model. You must have the Owner role in your organization.\n     * @param {string} model The model to delete\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    deleteModel: (model, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'model' is not null or undefined\n      common_1.assertParamExists('deleteModel', 'model', model);\n      const localVarPath = `/models/{model}`.replace(`{${\"model\"}}`, encodeURIComponent(String(model)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'DELETE'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Returns the contents of the specified file\n     * @param {string} fileId The ID of the file to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    downloadFile: (fileId, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'fileId' is not null or undefined\n      common_1.assertParamExists('downloadFile', 'fileId', fileId);\n      const localVarPath = `/files/{file_id}/content`.replace(`{${\"file_id\"}}`, encodeURIComponent(String(fileId)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability.\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    listEngines: (options = {}) => __awaiter(this, void 0, void 0, function* () {\n      const localVarPath = `/engines`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Returns a list of files that belong to the user\\'s organization.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listFiles: (options = {}) => __awaiter(this, void 0, void 0, function* () {\n      const localVarPath = `/files`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Get fine-grained status updates for a fine-tune job.\n     * @param {string} fineTuneId The ID of the fine-tune job to get events for.\n     * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a &#x60;data: [DONE]&#x60; message when the job is finished (succeeded, cancelled, or failed).  If set to false, only events generated so far will be returned.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listFineTuneEvents: (fineTuneId, stream, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'fineTuneId' is not null or undefined\n      common_1.assertParamExists('listFineTuneEvents', 'fineTuneId', fineTuneId);\n      const localVarPath = `/fine-tunes/{fine_tune_id}/events`.replace(`{${\"fine_tune_id\"}}`, encodeURIComponent(String(fineTuneId)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      if (stream !== undefined) {\n        localVarQueryParameter['stream'] = stream;\n      }\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary List your organization\\'s fine-tuning jobs\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listFineTunes: (options = {}) => __awaiter(this, void 0, void 0, function* () {\n      const localVarPath = `/fine-tunes`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listModels: (options = {}) => __awaiter(this, void 0, void 0, function* () {\n      const localVarPath = `/models`;\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Retrieves a model instance, providing basic information about it such as the owner and availability.\n     * @param {string} engineId The ID of the engine to use for this request\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    retrieveEngine: (engineId, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'engineId' is not null or undefined\n      common_1.assertParamExists('retrieveEngine', 'engineId', engineId);\n      const localVarPath = `/engines/{engine_id}`.replace(`{${\"engine_id\"}}`, encodeURIComponent(String(engineId)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Returns information about a specific file.\n     * @param {string} fileId The ID of the file to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    retrieveFile: (fileId, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'fileId' is not null or undefined\n      common_1.assertParamExists('retrieveFile', 'fileId', fileId);\n      const localVarPath = `/files/{file_id}`.replace(`{${\"file_id\"}}`, encodeURIComponent(String(fileId)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Gets info about the fine-tune job.  [Learn more about Fine-tuning](/docs/guides/fine-tuning)\n     * @param {string} fineTuneId The ID of the fine-tune job\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    retrieveFineTune: (fineTuneId, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'fineTuneId' is not null or undefined\n      common_1.assertParamExists('retrieveFineTune', 'fineTuneId', fineTuneId);\n      const localVarPath = `/fine-tunes/{fine_tune_id}`.replace(`{${\"fine_tune_id\"}}`, encodeURIComponent(String(fineTuneId)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    }),\n    /**\n     *\n     * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning.\n     * @param {string} model The ID of the model to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    retrieveModel: (model, options = {}) => __awaiter(this, void 0, void 0, function* () {\n      // verify required parameter 'model' is not null or undefined\n      common_1.assertParamExists('retrieveModel', 'model', model);\n      const localVarPath = `/models/{model}`.replace(`{${\"model\"}}`, encodeURIComponent(String(model)));\n      // use dummy base URL string because the URL constructor only accepts absolute URLs.\n      const localVarUrlObj = new URL(localVarPath, common_1.DUMMY_BASE_URL);\n      let baseOptions;\n      if (configuration) {\n        baseOptions = configuration.baseOptions;\n      }\n      const localVarRequestOptions = Object.assign(Object.assign({\n        method: 'GET'\n      }, baseOptions), options);\n      const localVarHeaderParameter = {};\n      const localVarQueryParameter = {};\n      common_1.setSearchParams(localVarUrlObj, localVarQueryParameter);\n      let headersFromBaseOptions = baseOptions && baseOptions.headers ? baseOptions.headers : {};\n      localVarRequestOptions.headers = Object.assign(Object.assign(Object.assign({}, localVarHeaderParameter), headersFromBaseOptions), options.headers);\n      return {\n        url: common_1.toPathString(localVarUrlObj),\n        options: localVarRequestOptions\n      };\n    })\n  };\n};\n/**\n * OpenAIApi - functional programming interface\n * @export\n */\nexports.OpenAIApiFp = function (configuration) {\n  const localVarAxiosParamCreator = exports.OpenAIApiAxiosParamCreator(configuration);\n  return {\n    /**\n     *\n     * @summary Immediately cancel a fine-tune job.\n     * @param {string} fineTuneId The ID of the fine-tune job to cancel\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    cancelFineTune(fineTuneId, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.cancelFineTune(fineTuneId, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Answers the specified question using the provided documents and examples.  The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions).\n     * @param {CreateAnswerRequest} createAnswerRequest\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    createAnswer(createAnswerRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createAnswer(createAnswerRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Creates a completion for the chat message\n     * @param {CreateChatCompletionRequest} createChatCompletionRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createChatCompletion(createChatCompletionRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createChatCompletion(createChatCompletionRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Classifies the specified `query` using provided examples.  The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint.  Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases.\n     * @param {CreateClassificationRequest} createClassificationRequest\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    createClassification(createClassificationRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createClassification(createClassificationRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Creates a completion for the provided prompt and parameters\n     * @param {CreateCompletionRequest} createCompletionRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createCompletion(createCompletionRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createCompletion(createCompletionRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Creates a new edit for the provided input, instruction, and parameters.\n     * @param {CreateEditRequest} createEditRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createEdit(createEditRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createEdit(createEditRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Creates an embedding vector representing the input text.\n     * @param {CreateEmbeddingRequest} createEmbeddingRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createEmbedding(createEmbeddingRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createEmbedding(createEmbeddingRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit.\n     * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded.  If the &#x60;purpose&#x60; is set to \\\\\\&quot;fine-tune\\\\\\&quot;, each line is a JSON record with \\\\\\&quot;prompt\\\\\\&quot; and \\\\\\&quot;completion\\\\\\&quot; fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data).\n     * @param {string} purpose The intended purpose of the uploaded documents.  Use \\\\\\&quot;fine-tune\\\\\\&quot; for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createFile(file, purpose, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createFile(file, purpose, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Creates a job that fine-tunes a specified model from a given dataset.  Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.  [Learn more about Fine-tuning](/docs/guides/fine-tuning)\n     * @param {CreateFineTuneRequest} createFineTuneRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createFineTune(createFineTuneRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createFineTune(createFineTuneRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Creates an image given a prompt.\n     * @param {CreateImageRequest} createImageRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createImage(createImageRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createImage(createImageRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Creates an edited or extended image given an original image and a prompt.\n     * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask.\n     * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters.\n     * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where &#x60;image&#x60; should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as &#x60;image&#x60;.\n     * @param {number} [n] The number of images to generate. Must be between 1 and 10.\n     * @param {string} [size] The size of the generated images. Must be one of &#x60;256x256&#x60;, &#x60;512x512&#x60;, or &#x60;1024x1024&#x60;.\n     * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of &#x60;url&#x60; or &#x60;b64_json&#x60;.\n     * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createImageEdit(image, prompt, mask, n, size, responseFormat, user, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createImageEdit(image, prompt, mask, n, size, responseFormat, user, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Creates a variation of a given image.\n     * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square.\n     * @param {number} [n] The number of images to generate. Must be between 1 and 10.\n     * @param {string} [size] The size of the generated images. Must be one of &#x60;256x256&#x60;, &#x60;512x512&#x60;, or &#x60;1024x1024&#x60;.\n     * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of &#x60;url&#x60; or &#x60;b64_json&#x60;.\n     * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createImageVariation(image, n, size, responseFormat, user, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createImageVariation(image, n, size, responseFormat, user, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Classifies if text violates OpenAI\\'s Content Policy\n     * @param {CreateModerationRequest} createModerationRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createModeration(createModerationRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createModeration(createModerationRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them.  To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores.  The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query.\n     * @param {string} engineId The ID of the engine to use for this request.  You can select one of &#x60;ada&#x60;, &#x60;babbage&#x60;, &#x60;curie&#x60;, or &#x60;davinci&#x60;.\n     * @param {CreateSearchRequest} createSearchRequest\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    createSearch(engineId, createSearchRequest, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createSearch(engineId, createSearchRequest, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Transcribes audio into the input language.\n     * @param {File} file The audio file to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n     * @param {string} model ID of the model to use. Only &#x60;whisper-1&#x60; is currently available.\n     * @param {string} [prompt] An optional text to guide the model\\\\\\&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.\n     * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n     * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n     * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createTranscription(file, model, prompt, responseFormat, temperature, language, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createTranscription(file, model, prompt, responseFormat, temperature, language, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Translates audio into into English.\n     * @param {File} file The audio file to translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n     * @param {string} model ID of the model to use. Only &#x60;whisper-1&#x60; is currently available.\n     * @param {string} [prompt] An optional text to guide the model\\\\\\&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English.\n     * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n     * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createTranslation(file, model, prompt, responseFormat, temperature, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.createTranslation(file, model, prompt, responseFormat, temperature, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Delete a file.\n     * @param {string} fileId The ID of the file to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    deleteFile(fileId, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.deleteFile(fileId, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Delete a fine-tuned model. You must have the Owner role in your organization.\n     * @param {string} model The model to delete\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    deleteModel(model, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.deleteModel(model, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Returns the contents of the specified file\n     * @param {string} fileId The ID of the file to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    downloadFile(fileId, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.downloadFile(fileId, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability.\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    listEngines(options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.listEngines(options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Returns a list of files that belong to the user\\'s organization.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listFiles(options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.listFiles(options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Get fine-grained status updates for a fine-tune job.\n     * @param {string} fineTuneId The ID of the fine-tune job to get events for.\n     * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a &#x60;data: [DONE]&#x60; message when the job is finished (succeeded, cancelled, or failed).  If set to false, only events generated so far will be returned.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listFineTuneEvents(fineTuneId, stream, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.listFineTuneEvents(fineTuneId, stream, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary List your organization\\'s fine-tuning jobs\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listFineTunes(options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.listFineTunes(options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listModels(options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.listModels(options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Retrieves a model instance, providing basic information about it such as the owner and availability.\n     * @param {string} engineId The ID of the engine to use for this request\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    retrieveEngine(engineId, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveEngine(engineId, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Returns information about a specific file.\n     * @param {string} fileId The ID of the file to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    retrieveFile(fileId, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveFile(fileId, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Gets info about the fine-tune job.  [Learn more about Fine-tuning](/docs/guides/fine-tuning)\n     * @param {string} fineTuneId The ID of the fine-tune job\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    retrieveFineTune(fineTuneId, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveFineTune(fineTuneId, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    },\n    /**\n     *\n     * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning.\n     * @param {string} model The ID of the model to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    retrieveModel(model, options) {\n      return __awaiter(this, void 0, void 0, function* () {\n        const localVarAxiosArgs = yield localVarAxiosParamCreator.retrieveModel(model, options);\n        return common_1.createRequestFunction(localVarAxiosArgs, axios_1.default, base_1.BASE_PATH, configuration);\n      });\n    }\n  };\n};\n/**\n * OpenAIApi - factory interface\n * @export\n */\nexports.OpenAIApiFactory = function (configuration, basePath, axios) {\n  const localVarFp = exports.OpenAIApiFp(configuration);\n  return {\n    /**\n     *\n     * @summary Immediately cancel a fine-tune job.\n     * @param {string} fineTuneId The ID of the fine-tune job to cancel\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    cancelFineTune(fineTuneId, options) {\n      return localVarFp.cancelFineTune(fineTuneId, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Answers the specified question using the provided documents and examples.  The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions).\n     * @param {CreateAnswerRequest} createAnswerRequest\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    createAnswer(createAnswerRequest, options) {\n      return localVarFp.createAnswer(createAnswerRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Creates a completion for the chat message\n     * @param {CreateChatCompletionRequest} createChatCompletionRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createChatCompletion(createChatCompletionRequest, options) {\n      return localVarFp.createChatCompletion(createChatCompletionRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Classifies the specified `query` using provided examples.  The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint.  Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases.\n     * @param {CreateClassificationRequest} createClassificationRequest\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    createClassification(createClassificationRequest, options) {\n      return localVarFp.createClassification(createClassificationRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Creates a completion for the provided prompt and parameters\n     * @param {CreateCompletionRequest} createCompletionRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createCompletion(createCompletionRequest, options) {\n      return localVarFp.createCompletion(createCompletionRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Creates a new edit for the provided input, instruction, and parameters.\n     * @param {CreateEditRequest} createEditRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createEdit(createEditRequest, options) {\n      return localVarFp.createEdit(createEditRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Creates an embedding vector representing the input text.\n     * @param {CreateEmbeddingRequest} createEmbeddingRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createEmbedding(createEmbeddingRequest, options) {\n      return localVarFp.createEmbedding(createEmbeddingRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit.\n     * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded.  If the &#x60;purpose&#x60; is set to \\\\\\&quot;fine-tune\\\\\\&quot;, each line is a JSON record with \\\\\\&quot;prompt\\\\\\&quot; and \\\\\\&quot;completion\\\\\\&quot; fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data).\n     * @param {string} purpose The intended purpose of the uploaded documents.  Use \\\\\\&quot;fine-tune\\\\\\&quot; for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createFile(file, purpose, options) {\n      return localVarFp.createFile(file, purpose, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Creates a job that fine-tunes a specified model from a given dataset.  Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.  [Learn more about Fine-tuning](/docs/guides/fine-tuning)\n     * @param {CreateFineTuneRequest} createFineTuneRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createFineTune(createFineTuneRequest, options) {\n      return localVarFp.createFineTune(createFineTuneRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Creates an image given a prompt.\n     * @param {CreateImageRequest} createImageRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createImage(createImageRequest, options) {\n      return localVarFp.createImage(createImageRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Creates an edited or extended image given an original image and a prompt.\n     * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask.\n     * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters.\n     * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where &#x60;image&#x60; should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as &#x60;image&#x60;.\n     * @param {number} [n] The number of images to generate. Must be between 1 and 10.\n     * @param {string} [size] The size of the generated images. Must be one of &#x60;256x256&#x60;, &#x60;512x512&#x60;, or &#x60;1024x1024&#x60;.\n     * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of &#x60;url&#x60; or &#x60;b64_json&#x60;.\n     * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createImageEdit(image, prompt, mask, n, size, responseFormat, user, options) {\n      return localVarFp.createImageEdit(image, prompt, mask, n, size, responseFormat, user, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Creates a variation of a given image.\n     * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square.\n     * @param {number} [n] The number of images to generate. Must be between 1 and 10.\n     * @param {string} [size] The size of the generated images. Must be one of &#x60;256x256&#x60;, &#x60;512x512&#x60;, or &#x60;1024x1024&#x60;.\n     * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of &#x60;url&#x60; or &#x60;b64_json&#x60;.\n     * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createImageVariation(image, n, size, responseFormat, user, options) {\n      return localVarFp.createImageVariation(image, n, size, responseFormat, user, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Classifies if text violates OpenAI\\'s Content Policy\n     * @param {CreateModerationRequest} createModerationRequest\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createModeration(createModerationRequest, options) {\n      return localVarFp.createModeration(createModerationRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them.  To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores.  The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query.\n     * @param {string} engineId The ID of the engine to use for this request.  You can select one of &#x60;ada&#x60;, &#x60;babbage&#x60;, &#x60;curie&#x60;, or &#x60;davinci&#x60;.\n     * @param {CreateSearchRequest} createSearchRequest\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    createSearch(engineId, createSearchRequest, options) {\n      return localVarFp.createSearch(engineId, createSearchRequest, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Transcribes audio into the input language.\n     * @param {File} file The audio file to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n     * @param {string} model ID of the model to use. Only &#x60;whisper-1&#x60; is currently available.\n     * @param {string} [prompt] An optional text to guide the model\\\\\\&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.\n     * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n     * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n     * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createTranscription(file, model, prompt, responseFormat, temperature, language, options) {\n      return localVarFp.createTranscription(file, model, prompt, responseFormat, temperature, language, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Translates audio into into English.\n     * @param {File} file The audio file to translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n     * @param {string} model ID of the model to use. Only &#x60;whisper-1&#x60; is currently available.\n     * @param {string} [prompt] An optional text to guide the model\\\\\\&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English.\n     * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n     * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    createTranslation(file, model, prompt, responseFormat, temperature, options) {\n      return localVarFp.createTranslation(file, model, prompt, responseFormat, temperature, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Delete a file.\n     * @param {string} fileId The ID of the file to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    deleteFile(fileId, options) {\n      return localVarFp.deleteFile(fileId, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Delete a fine-tuned model. You must have the Owner role in your organization.\n     * @param {string} model The model to delete\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    deleteModel(model, options) {\n      return localVarFp.deleteModel(model, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Returns the contents of the specified file\n     * @param {string} fileId The ID of the file to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    downloadFile(fileId, options) {\n      return localVarFp.downloadFile(fileId, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability.\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    listEngines(options) {\n      return localVarFp.listEngines(options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Returns a list of files that belong to the user\\'s organization.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listFiles(options) {\n      return localVarFp.listFiles(options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Get fine-grained status updates for a fine-tune job.\n     * @param {string} fineTuneId The ID of the fine-tune job to get events for.\n     * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a &#x60;data: [DONE]&#x60; message when the job is finished (succeeded, cancelled, or failed).  If set to false, only events generated so far will be returned.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listFineTuneEvents(fineTuneId, stream, options) {\n      return localVarFp.listFineTuneEvents(fineTuneId, stream, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary List your organization\\'s fine-tuning jobs\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listFineTunes(options) {\n      return localVarFp.listFineTunes(options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability.\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    listModels(options) {\n      return localVarFp.listModels(options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Retrieves a model instance, providing basic information about it such as the owner and availability.\n     * @param {string} engineId The ID of the engine to use for this request\n     * @param {*} [options] Override http request option.\n     * @deprecated\n     * @throws {RequiredError}\n     */\n    retrieveEngine(engineId, options) {\n      return localVarFp.retrieveEngine(engineId, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Returns information about a specific file.\n     * @param {string} fileId The ID of the file to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    retrieveFile(fileId, options) {\n      return localVarFp.retrieveFile(fileId, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Gets info about the fine-tune job.  [Learn more about Fine-tuning](/docs/guides/fine-tuning)\n     * @param {string} fineTuneId The ID of the fine-tune job\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    retrieveFineTune(fineTuneId, options) {\n      return localVarFp.retrieveFineTune(fineTuneId, options).then(request => request(axios, basePath));\n    },\n    /**\n     *\n     * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning.\n     * @param {string} model The ID of the model to use for this request\n     * @param {*} [options] Override http request option.\n     * @throws {RequiredError}\n     */\n    retrieveModel(model, options) {\n      return localVarFp.retrieveModel(model, options).then(request => request(axios, basePath));\n    }\n  };\n};\n/**\n * OpenAIApi - object-oriented interface\n * @export\n * @class OpenAIApi\n * @extends {BaseAPI}\n */\nclass OpenAIApi extends base_1.BaseAPI {\n  /**\n   *\n   * @summary Immediately cancel a fine-tune job.\n   * @param {string} fineTuneId The ID of the fine-tune job to cancel\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  cancelFineTune(fineTuneId, options) {\n    return exports.OpenAIApiFp(this.configuration).cancelFineTune(fineTuneId, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Answers the specified question using the provided documents and examples.  The endpoint first [searches](/docs/api-reference/searches) over provided documents or files to find relevant context. The relevant context is combined with the provided examples and question to create the prompt for [completion](/docs/api-reference/completions).\n   * @param {CreateAnswerRequest} createAnswerRequest\n   * @param {*} [options] Override http request option.\n   * @deprecated\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createAnswer(createAnswerRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createAnswer(createAnswerRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Creates a completion for the chat message\n   * @param {CreateChatCompletionRequest} createChatCompletionRequest\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createChatCompletion(createChatCompletionRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createChatCompletion(createChatCompletionRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Classifies the specified `query` using provided examples.  The endpoint first [searches](/docs/api-reference/searches) over the labeled examples to select the ones most relevant for the particular query. Then, the relevant examples are combined with the query to construct a prompt to produce the final label via the [completions](/docs/api-reference/completions) endpoint.  Labeled examples can be provided via an uploaded `file`, or explicitly listed in the request using the `examples` parameter for quick tests and small scale use cases.\n   * @param {CreateClassificationRequest} createClassificationRequest\n   * @param {*} [options] Override http request option.\n   * @deprecated\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createClassification(createClassificationRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createClassification(createClassificationRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Creates a completion for the provided prompt and parameters\n   * @param {CreateCompletionRequest} createCompletionRequest\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createCompletion(createCompletionRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createCompletion(createCompletionRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Creates a new edit for the provided input, instruction, and parameters.\n   * @param {CreateEditRequest} createEditRequest\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createEdit(createEditRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createEdit(createEditRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Creates an embedding vector representing the input text.\n   * @param {CreateEmbeddingRequest} createEmbeddingRequest\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createEmbedding(createEmbeddingRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createEmbedding(createEmbeddingRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Upload a file that contains document(s) to be used across various endpoints/features. Currently, the size of all the files uploaded by one organization can be up to 1 GB. Please contact us if you need to increase the storage limit.\n   * @param {File} file Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded.  If the &#x60;purpose&#x60; is set to \\\\\\&quot;fine-tune\\\\\\&quot;, each line is a JSON record with \\\\\\&quot;prompt\\\\\\&quot; and \\\\\\&quot;completion\\\\\\&quot; fields representing your [training examples](/docs/guides/fine-tuning/prepare-training-data).\n   * @param {string} purpose The intended purpose of the uploaded documents.  Use \\\\\\&quot;fine-tune\\\\\\&quot; for [Fine-tuning](/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file.\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createFile(file, purpose, options) {\n    return exports.OpenAIApiFp(this.configuration).createFile(file, purpose, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Creates a job that fine-tunes a specified model from a given dataset.  Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.  [Learn more about Fine-tuning](/docs/guides/fine-tuning)\n   * @param {CreateFineTuneRequest} createFineTuneRequest\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createFineTune(createFineTuneRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createFineTune(createFineTuneRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Creates an image given a prompt.\n   * @param {CreateImageRequest} createImageRequest\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createImage(createImageRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createImage(createImageRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Creates an edited or extended image given an original image and a prompt.\n   * @param {File} image The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask.\n   * @param {string} prompt A text description of the desired image(s). The maximum length is 1000 characters.\n   * @param {File} [mask] An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where &#x60;image&#x60; should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as &#x60;image&#x60;.\n   * @param {number} [n] The number of images to generate. Must be between 1 and 10.\n   * @param {string} [size] The size of the generated images. Must be one of &#x60;256x256&#x60;, &#x60;512x512&#x60;, or &#x60;1024x1024&#x60;.\n   * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of &#x60;url&#x60; or &#x60;b64_json&#x60;.\n   * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createImageEdit(image, prompt, mask, n, size, responseFormat, user, options) {\n    return exports.OpenAIApiFp(this.configuration).createImageEdit(image, prompt, mask, n, size, responseFormat, user, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Creates a variation of a given image.\n   * @param {File} image The image to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square.\n   * @param {number} [n] The number of images to generate. Must be between 1 and 10.\n   * @param {string} [size] The size of the generated images. Must be one of &#x60;256x256&#x60;, &#x60;512x512&#x60;, or &#x60;1024x1024&#x60;.\n   * @param {string} [responseFormat] The format in which the generated images are returned. Must be one of &#x60;url&#x60; or &#x60;b64_json&#x60;.\n   * @param {string} [user] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createImageVariation(image, n, size, responseFormat, user, options) {\n    return exports.OpenAIApiFp(this.configuration).createImageVariation(image, n, size, responseFormat, user, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Classifies if text violates OpenAI\\'s Content Policy\n   * @param {CreateModerationRequest} createModerationRequest\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createModeration(createModerationRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createModeration(createModerationRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary The search endpoint computes similarity scores between provided query and documents. Documents can be passed directly to the API if there are no more than 200 of them.  To go beyond the 200 document limit, documents can be processed offline and then used for efficient retrieval at query time. When `file` is set, the search endpoint searches over all the documents in the given file and returns up to the `max_rerank` number of documents. These documents will be returned along with their search scores.  The similarity score is a positive score that usually ranges from 0 to 300 (but can sometimes go higher), where a score above 200 usually means the document is semantically similar to the query.\n   * @param {string} engineId The ID of the engine to use for this request.  You can select one of &#x60;ada&#x60;, &#x60;babbage&#x60;, &#x60;curie&#x60;, or &#x60;davinci&#x60;.\n   * @param {CreateSearchRequest} createSearchRequest\n   * @param {*} [options] Override http request option.\n   * @deprecated\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createSearch(engineId, createSearchRequest, options) {\n    return exports.OpenAIApiFp(this.configuration).createSearch(engineId, createSearchRequest, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Transcribes audio into the input language.\n   * @param {File} file The audio file to transcribe, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n   * @param {string} model ID of the model to use. Only &#x60;whisper-1&#x60; is currently available.\n   * @param {string} [prompt] An optional text to guide the model\\\\\\&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the audio language.\n   * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n   * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n   * @param {string} [language] The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will improve accuracy and latency.\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createTranscription(file, model, prompt, responseFormat, temperature, language, options) {\n    return exports.OpenAIApiFp(this.configuration).createTranscription(file, model, prompt, responseFormat, temperature, language, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Translates audio into into English.\n   * @param {File} file The audio file to translate, in one of these formats: mp3, mp4, mpeg, mpga, m4a, wav, or webm.\n   * @param {string} model ID of the model to use. Only &#x60;whisper-1&#x60; is currently available.\n   * @param {string} [prompt] An optional text to guide the model\\\\\\&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in English.\n   * @param {string} [responseFormat] The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.\n   * @param {number} [temperature] The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  createTranslation(file, model, prompt, responseFormat, temperature, options) {\n    return exports.OpenAIApiFp(this.configuration).createTranslation(file, model, prompt, responseFormat, temperature, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Delete a file.\n   * @param {string} fileId The ID of the file to use for this request\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  deleteFile(fileId, options) {\n    return exports.OpenAIApiFp(this.configuration).deleteFile(fileId, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Delete a fine-tuned model. You must have the Owner role in your organization.\n   * @param {string} model The model to delete\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  deleteModel(model, options) {\n    return exports.OpenAIApiFp(this.configuration).deleteModel(model, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Returns the contents of the specified file\n   * @param {string} fileId The ID of the file to use for this request\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  downloadFile(fileId, options) {\n    return exports.OpenAIApiFp(this.configuration).downloadFile(fileId, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Lists the currently available (non-finetuned) models, and provides basic information about each one such as the owner and availability.\n   * @param {*} [options] Override http request option.\n   * @deprecated\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  listEngines(options) {\n    return exports.OpenAIApiFp(this.configuration).listEngines(options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Returns a list of files that belong to the user\\'s organization.\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  listFiles(options) {\n    return exports.OpenAIApiFp(this.configuration).listFiles(options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Get fine-grained status updates for a fine-tune job.\n   * @param {string} fineTuneId The ID of the fine-tune job to get events for.\n   * @param {boolean} [stream] Whether to stream events for the fine-tune job. If set to true, events will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available. The stream will terminate with a &#x60;data: [DONE]&#x60; message when the job is finished (succeeded, cancelled, or failed).  If set to false, only events generated so far will be returned.\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  listFineTuneEvents(fineTuneId, stream, options) {\n    return exports.OpenAIApiFp(this.configuration).listFineTuneEvents(fineTuneId, stream, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary List your organization\\'s fine-tuning jobs\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  listFineTunes(options) {\n    return exports.OpenAIApiFp(this.configuration).listFineTunes(options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Lists the currently available models, and provides basic information about each one such as the owner and availability.\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  listModels(options) {\n    return exports.OpenAIApiFp(this.configuration).listModels(options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Retrieves a model instance, providing basic information about it such as the owner and availability.\n   * @param {string} engineId The ID of the engine to use for this request\n   * @param {*} [options] Override http request option.\n   * @deprecated\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  retrieveEngine(engineId, options) {\n    return exports.OpenAIApiFp(this.configuration).retrieveEngine(engineId, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Returns information about a specific file.\n   * @param {string} fileId The ID of the file to use for this request\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  retrieveFile(fileId, options) {\n    return exports.OpenAIApiFp(this.configuration).retrieveFile(fileId, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Gets info about the fine-tune job.  [Learn more about Fine-tuning](/docs/guides/fine-tuning)\n   * @param {string} fineTuneId The ID of the fine-tune job\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  retrieveFineTune(fineTuneId, options) {\n    return exports.OpenAIApiFp(this.configuration).retrieveFineTune(fineTuneId, options).then(request => request(this.axios, this.basePath));\n  }\n  /**\n   *\n   * @summary Retrieves a model instance, providing basic information about the model such as the owner and permissioning.\n   * @param {string} model The ID of the model to use for this request\n   * @param {*} [options] Override http request option.\n   * @throws {RequiredError}\n   * @memberof OpenAIApi\n   */\n  retrieveModel(model, options) {\n    return exports.OpenAIApiFp(this.configuration).retrieveModel(model, options).then(request => request(this.axios, this.basePath));\n  }\n}\nexports.OpenAIApi = OpenAIApi;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/dist/api.js?");
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-/***/ }),
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-eval("\n\n/* tslint:disable */\n/* eslint-disable */\n/**\n * OpenAI API\n * APIs for sampling from and fine-tuning language models\n *\n * The version of the OpenAPI document: 1.2.0\n *\n *\n * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).\n * https://openapi-generator.tech\n * Do not edit the class manually.\n */\nObject.defineProperty(exports, \"__esModule\", ({\n  value: true\n}));\nexports.RequiredError = exports.BaseAPI = exports.COLLECTION_FORMATS = exports.BASE_PATH = void 0;\nconst axios_1 = __webpack_require__(/*! axios */ \"./node_modules/openai/node_modules/axios/index.js\");\nexports.BASE_PATH = \"https://api.openai.com/v1\".replace(/\\/+$/, \"\");\n/**\n *\n * @export\n */\nexports.COLLECTION_FORMATS = {\n  csv: \",\",\n  ssv: \" \",\n  tsv: \"\\t\",\n  pipes: \"|\"\n};\n/**\n *\n * @export\n * @class BaseAPI\n */\nclass BaseAPI {\n  constructor(configuration, basePath = exports.BASE_PATH, axios = axios_1.default) {\n    this.basePath = basePath;\n    this.axios = axios;\n    if (configuration) {\n      this.configuration = configuration;\n      this.basePath = configuration.basePath || this.basePath;\n    }\n  }\n}\nexports.BaseAPI = BaseAPI;\n;\n/**\n *\n * @export\n * @class RequiredError\n * @extends {Error}\n */\nclass RequiredError extends Error {\n  constructor(field, msg) {\n    super(msg);\n    this.field = field;\n    this.name = \"RequiredError\";\n  }\n}\nexports.RequiredError = RequiredError;\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/dist/base.js?");
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-/***/ }),
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-/***/ "./node_modules/openai/dist/common.js":
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-"use strict";
-eval("\n\n/* tslint:disable */\n/* eslint-disable */\n/**\n * OpenAI API\n * APIs for sampling from and fine-tuning language models\n *\n * The version of the OpenAPI document: 1.2.0\n *\n *\n * NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).\n * https://openapi-generator.tech\n * Do not edit the class manually.\n */\nvar __awaiter = this && this.__awaiter || function (thisArg, _arguments, P, generator) {\n  function adopt(value) {\n    return value instanceof P ? value : new P(function (resolve) {\n      resolve(value);\n    });\n  }\n  return new (P || (P = Promise))(function (resolve, reject) {\n    function fulfilled(value) {\n      try {\n        step(generator.next(value));\n      } catch (e) {\n        reject(e);\n      }\n    }\n    function rejected(value) {\n      try {\n        step(generator[\"throw\"](value));\n      } catch (e) {\n        reject(e);\n      }\n    }\n    function step(result) {\n      result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected);\n    }\n    step((generator = generator.apply(thisArg, _arguments || [])).next());\n  });\n};\nObject.defineProperty(exports, \"__esModule\", ({\n  value: true\n}));\nexports.createRequestFunction = exports.toPathString = exports.serializeDataIfNeeded = exports.setSearchParams = exports.setOAuthToObject = exports.setBearerAuthToObject = exports.setBasicAuthToObject = exports.setApiKeyToObject = exports.assertParamExists = exports.DUMMY_BASE_URL = void 0;\nconst base_1 = __webpack_require__(/*! ./base */ \"./node_modules/openai/dist/base.js\");\n/**\n *\n * @export\n */\nexports.DUMMY_BASE_URL = 'https://example.com';\n/**\n *\n * @throws {RequiredError}\n * @export\n */\nexports.assertParamExists = function (functionName, paramName, paramValue) {\n  if (paramValue === null || paramValue === undefined) {\n    throw new base_1.RequiredError(paramName, `Required parameter ${paramName} was null or undefined when calling ${functionName}.`);\n  }\n};\n/**\n *\n * @export\n */\nexports.setApiKeyToObject = function (object, keyParamName, configuration) {\n  return __awaiter(this, void 0, void 0, function* () {\n    if (configuration && configuration.apiKey) {\n      const localVarApiKeyValue = typeof configuration.apiKey === 'function' ? yield configuration.apiKey(keyParamName) : yield configuration.apiKey;\n      object[keyParamName] = localVarApiKeyValue;\n    }\n  });\n};\n/**\n *\n * @export\n */\nexports.setBasicAuthToObject = function (object, configuration) {\n  if (configuration && (configuration.username || configuration.password)) {\n    object[\"auth\"] = {\n      username: configuration.username,\n      password: configuration.password\n    };\n  }\n};\n/**\n *\n * @export\n */\nexports.setBearerAuthToObject = function (object, configuration) {\n  return __awaiter(this, void 0, void 0, function* () {\n    if (configuration && configuration.accessToken) {\n      const accessToken = typeof configuration.accessToken === 'function' ? yield configuration.accessToken() : yield configuration.accessToken;\n      object[\"Authorization\"] = \"Bearer \" + accessToken;\n    }\n  });\n};\n/**\n *\n * @export\n */\nexports.setOAuthToObject = function (object, name, scopes, configuration) {\n  return __awaiter(this, void 0, void 0, function* () {\n    if (configuration && configuration.accessToken) {\n      const localVarAccessTokenValue = typeof configuration.accessToken === 'function' ? yield configuration.accessToken(name, scopes) : yield configuration.accessToken;\n      object[\"Authorization\"] = \"Bearer \" + localVarAccessTokenValue;\n    }\n  });\n};\nfunction setFlattenedQueryParams(urlSearchParams, parameter, key = \"\") {\n  if (parameter == null) return;\n  if (typeof parameter === \"object\") {\n    if (Array.isArray(parameter)) {\n      parameter.forEach(item => setFlattenedQueryParams(urlSearchParams, item, key));\n    } else {\n      Object.keys(parameter).forEach(currentKey => setFlattenedQueryParams(urlSearchParams, parameter[currentKey], `${key}${key !== '' ? '.' : ''}${currentKey}`));\n    }\n  } else {\n    if (urlSearchParams.has(key)) {\n      urlSearchParams.append(key, parameter);\n    } else {\n      urlSearchParams.set(key, parameter);\n    }\n  }\n}\n/**\n *\n * @export\n */\nexports.setSearchParams = function (url, ...objects) {\n  const searchParams = new URLSearchParams(url.search);\n  setFlattenedQueryParams(searchParams, objects);\n  url.search = searchParams.toString();\n};\n/**\n *\n * @export\n */\nexports.serializeDataIfNeeded = function (value, requestOptions, configuration) {\n  const nonString = typeof value !== 'string';\n  const needsSerialization = nonString && configuration && configuration.isJsonMime ? configuration.isJsonMime(requestOptions.headers['Content-Type']) : nonString;\n  return needsSerialization ? JSON.stringify(value !== undefined ? value : {}) : value || \"\";\n};\n/**\n *\n * @export\n */\nexports.toPathString = function (url) {\n  return url.pathname + url.search + url.hash;\n};\n/**\n *\n * @export\n */\nexports.createRequestFunction = function (axiosArgs, globalAxios, BASE_PATH, configuration) {\n  return (axios = globalAxios, basePath = BASE_PATH) => {\n    const axiosRequestArgs = Object.assign(Object.assign({}, axiosArgs.options), {\n      url: ((configuration === null || configuration === void 0 ? void 0 : configuration.basePath) || basePath) + axiosArgs.url\n    });\n    return axios.request(axiosRequestArgs);\n  };\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/dist/common.js?");
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-/***/ }),
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unescape(encodeURIComponent(config.auth.password)) : '';\n      requestHeaders.Authorization = 'Basic ' + btoa(username + ':' + password);\n    }\n    var fullPath = buildFullPath(config.baseURL, config.url);\n    request.open(config.method.toUpperCase(), buildURL(fullPath, config.params, config.paramsSerializer), true);\n\n    // Set the request timeout in MS\n    request.timeout = config.timeout;\n    function onloadend() {\n      if (!request) {\n        return;\n      }\n      // Prepare the response\n      var responseHeaders = 'getAllResponseHeaders' in request ? parseHeaders(request.getAllResponseHeaders()) : null;\n      var responseData = !responseType || responseType === 'text' || responseType === 'json' ? request.responseText : request.response;\n      var response = {\n        data: responseData,\n        status: request.status,\n        statusText: request.statusText,\n        headers: responseHeaders,\n        config: config,\n        request: request\n      };\n      settle(function _resolve(value) {\n        resolve(value);\n        done();\n      }, function _reject(err) {\n        reject(err);\n        done();\n      }, response);\n\n      // Clean up request\n      request = null;\n    }\n    if ('onloadend' in request) {\n      // Use onloadend if available\n      request.onloadend = onloadend;\n    } else {\n      // Listen for ready state to emulate onloadend\n      request.onreadystatechange = function handleLoad() {\n        if (!request || request.readyState !== 4) {\n          return;\n        }\n\n        // The request errored out and we didn't get a response, this will be\n        // handled by onerror instead\n        // With one exception: request that using file: protocol, most browsers\n        // will return status as 0 even though it's a successful request\n        if (request.status === 0 && !(request.responseURL && request.responseURL.indexOf('file:') === 0)) {\n          return;\n        }\n        // readystate handler is calling before onerror or ontimeout handlers,\n        // so we should call onloadend on the next 'tick'\n        setTimeout(onloadend);\n      };\n    }\n\n    // Handle browser request cancellation (as opposed to a manual cancellation)\n    request.onabort = function handleAbort() {\n      if (!request) {\n        return;\n      }\n      reject(createError('Request aborted', config, 'ECONNABORTED', request));\n\n      // Clean up request\n      request = null;\n    };\n\n    // Handle low level network errors\n    request.onerror = function handleError() {\n      // Real errors are hidden from us by the browser\n      // onerror should only fire if it's a network error\n      reject(createError('Network Error', config, null, request));\n\n      // Clean up request\n      request = null;\n    };\n\n    // Handle timeout\n    request.ontimeout = function handleTimeout() {\n      var timeoutErrorMessage = config.timeout ? 'timeout of ' + config.timeout + 'ms exceeded' : 'timeout exceeded';\n      var transitional = config.transitional || transitionalDefaults;\n      if (config.timeoutErrorMessage) {\n        timeoutErrorMessage = config.timeoutErrorMessage;\n      }\n      reject(createError(timeoutErrorMessage, config, transitional.clarifyTimeoutError ? 'ETIMEDOUT' : 'ECONNABORTED', request));\n\n      // Clean up request\n      request = null;\n    };\n\n    // Add xsrf header\n    // This is only done if running in a standard browser environment.\n    // Specifically not if we're in a web worker, or react-native.\n    if (utils.isStandardBrowserEnv()) {\n      // Add xsrf header\n      var xsrfValue = (config.withCredentials || isURLSameOrigin(fullPath)) && config.xsrfCookieName ? cookies.read(config.xsrfCookieName) : undefined;\n      if (xsrfValue) {\n        requestHeaders[config.xsrfHeaderName] = xsrfValue;\n      }\n    }\n\n    // Add headers to the request\n    if ('setRequestHeader' in request) {\n      utils.forEach(requestHeaders, function setRequestHeader(val, key) {\n        if (typeof requestData === 'undefined' && key.toLowerCase() === 'content-type') {\n          // Remove Content-Type if data is undefined\n          delete requestHeaders[key];\n        } else {\n          // Otherwise add header to the request\n          request.setRequestHeader(key, val);\n        }\n      });\n    }\n\n    // Add withCredentials to request if needed\n    if (!utils.isUndefined(config.withCredentials)) {\n      request.withCredentials = !!config.withCredentials;\n    }\n\n    // Add responseType to request if needed\n    if (responseType && responseType !== 'json') {\n      request.responseType = config.responseType;\n    }\n\n    // Handle progress if needed\n    if (typeof config.onDownloadProgress === 'function') {\n      request.addEventListener('progress', config.onDownloadProgress);\n    }\n\n    // Not all browsers support upload events\n    if (typeof config.onUploadProgress === 'function' && request.upload) {\n      request.upload.addEventListener('progress', config.onUploadProgress);\n    }\n    if (config.cancelToken || config.signal) {\n      // Handle cancellation\n      // eslint-disable-next-line func-names\n      onCanceled = function (cancel) {\n        if (!request) {\n          return;\n        }\n        reject(!cancel || cancel && cancel.type ? new Cancel('canceled') : cancel);\n        request.abort();\n        request = null;\n      };\n      config.cancelToken && config.cancelToken.subscribe(onCanceled);\n      if (config.signal) {\n        config.signal.aborted ? onCanceled() : config.signal.addEventListener('abort', onCanceled);\n      }\n    }\n    if (!requestData) {\n      requestData = null;\n    }\n\n    // Send the request\n    request.send(requestData);\n  });\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/node_modules/axios/lib/adapters/xhr.js?");
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config.method.toLowerCase();\n  } else if (this.defaults.method) {\n    config.method = this.defaults.method.toLowerCase();\n  } else {\n    config.method = 'get';\n  }\n  var transitional = config.transitional;\n  if (transitional !== undefined) {\n    validator.assertOptions(transitional, {\n      silentJSONParsing: validators.transitional(validators.boolean),\n      forcedJSONParsing: validators.transitional(validators.boolean),\n      clarifyTimeoutError: validators.transitional(validators.boolean)\n    }, false);\n  }\n\n  // filter out skipped interceptors\n  var requestInterceptorChain = [];\n  var synchronousRequestInterceptors = true;\n  this.interceptors.request.forEach(function unshiftRequestInterceptors(interceptor) {\n    if (typeof interceptor.runWhen === 'function' && interceptor.runWhen(config) === false) {\n      return;\n    }\n    synchronousRequestInterceptors = synchronousRequestInterceptors && interceptor.synchronous;\n    requestInterceptorChain.unshift(interceptor.fulfilled, interceptor.rejected);\n  });\n  var responseInterceptorChain = [];\n  this.interceptors.response.forEach(function pushResponseInterceptors(interceptor) {\n    responseInterceptorChain.push(interceptor.fulfilled, interceptor.rejected);\n  });\n  var promise;\n  if (!synchronousRequestInterceptors) {\n    var chain = [dispatchRequest, undefined];\n    Array.prototype.unshift.apply(chain, requestInterceptorChain);\n    chain = chain.concat(responseInterceptorChain);\n    promise = Promise.resolve(config);\n    while (chain.length) {\n      promise = promise.then(chain.shift(), chain.shift());\n    }\n    return promise;\n  }\n  var newConfig = config;\n  while (requestInterceptorChain.length) {\n    var onFulfilled = requestInterceptorChain.shift();\n    var onRejected = requestInterceptorChain.shift();\n    try {\n      newConfig = onFulfilled(newConfig);\n    } catch (error) {\n      onRejected(error);\n      break;\n    }\n  }\n  try {\n    promise = dispatchRequest(newConfig);\n  } catch (error) {\n    return Promise.reject(error);\n  }\n  while (responseInterceptorChain.length) {\n    promise = promise.then(responseInterceptorChain.shift(), responseInterceptorChain.shift());\n  }\n  return promise;\n};\nAxios.prototype.getUri = function getUri(config) {\n  config = mergeConfig(this.defaults, config);\n  return buildURL(config.url, config.params, config.paramsSerializer).replace(/^\\?/, '');\n};\n\n// Provide aliases for supported request methods\nutils.forEach(['delete', 'get', 'head', 'options'], function forEachMethodNoData(method) {\n  /*eslint func-names:0*/\n  Axios.prototype[method] = function (url, config) {\n    return this.request(mergeConfig(config || {}, {\n      method: method,\n      url: url,\n      data: (config || {}).data\n    }));\n  };\n});\nutils.forEach(['post', 'put', 'patch'], function forEachMethodWithData(method) {\n  /*eslint func-names:0*/\n  Axios.prototype[method] = function (url, 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-eval("\n\n__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\nvar utils = __webpack_require__(/*! ./../utils */ \"./node_modules/openai/node_modules/axios/lib/utils.js\");\nmodule.exports = utils.isStandardBrowserEnv() ?\n// Standard browser envs support document.cookie\nfunction standardBrowserEnv() {\n  return {\n    write: function write(name, value, expires, path, domain, secure) {\n      var cookie = [];\n      cookie.push(name + '=' + encodeURIComponent(value));\n      if (utils.isNumber(expires)) {\n        cookie.push('expires=' + new Date(expires).toGMTString());\n      }\n      if (utils.isString(path)) {\n        cookie.push('path=' + path);\n      }\n      if (utils.isString(domain)) {\n        cookie.push('domain=' + domain);\n      }\n      if (secure === true) {\n        cookie.push('secure');\n      }\n      document.cookie = cookie.join('; ');\n    },\n    read: function read(name) {\n      var match = document.cookie.match(new RegExp('(^|;\\\\s*)(' + name + ')=([^;]*)'));\n      return match ? decodeURIComponent(match[3]) : null;\n    },\n    remove: function remove(name) {\n      this.write(name, '', Date.now() - 86400000);\n    }\n  };\n}() :\n// Non standard browser env (web workers, react-native) lack needed support.\nfunction nonStandardBrowserEnv() {\n  return {\n    write: function write() {},\n    read: function read() {\n      return null;\n    },\n    remove: function remove() {}\n  };\n}();\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/node_modules/axios/lib/helpers/cookies.js?");
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-eval("\n\n/**\n * Determines whether the specified URL is absolute\n *\n * @param {string} url The URL to test\n * @returns {boolean} True if the specified URL is absolute, otherwise false\n */\nmodule.exports = function isAbsoluteURL(url) {\n  // A URL is considered absolute if it begins with \"<scheme>://\" or \"//\" (protocol-relative URL).\n  // RFC 3986 defines scheme name as a sequence of characters beginning with a letter and followed\n  // by any combination of letters, digits, plus, period, or hyphen.\n  return /^([a-z][a-z\\d+\\-.]*:)?\\/\\//i.test(url);\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/node_modules/axios/lib/helpers/isAbsoluteURL.js?");
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-"use strict";
-eval("\n\nvar utils = __webpack_require__(/*! ./../utils */ \"./node_modules/openai/node_modules/axios/lib/utils.js\");\n\n/**\n * Determines whether the payload is an error thrown by Axios\n *\n * @param {*} payload The value to test\n * @returns {boolean} True if the payload is an error thrown by Axios, otherwise false\n */\nmodule.exports = function isAxiosError(payload) {\n  return utils.isObject(payload) && payload.isAxiosError === true;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/node_modules/axios/lib/helpers/isAxiosError.js?");
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-  !*** ./node_modules/openai/node_modules/axios/lib/helpers/isURLSameOrigin.js ***!
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-"use strict";
-eval("\n\nvar utils = __webpack_require__(/*! ./../utils */ \"./node_modules/openai/node_modules/axios/lib/utils.js\");\nmodule.exports = utils.isStandardBrowserEnv() ?\n// Standard browser envs have full support of the APIs needed to test\n// whether the request URL is of the same origin as current location.\nfunction standardBrowserEnv() {\n  var msie = /(msie|trident)/i.test(navigator.userAgent);\n  var urlParsingNode = document.createElement('a');\n  var originURL;\n\n  /**\n  * Parse a URL to discover it's components\n  *\n  * @param {String} url The URL to be parsed\n  * @returns {Object}\n  */\n  function resolveURL(url) {\n    var href = url;\n    if (msie) {\n      // IE needs attribute set twice to normalize properties\n      urlParsingNode.setAttribute('href', href);\n      href = urlParsingNode.href;\n    }\n    urlParsingNode.setAttribute('href', href);\n\n    // urlParsingNode provides the UrlUtils interface - http://url.spec.whatwg.org/#urlutils\n    return {\n      href: urlParsingNode.href,\n      protocol: urlParsingNode.protocol ? urlParsingNode.protocol.replace(/:$/, '') : '',\n      host: urlParsingNode.host,\n      search: urlParsingNode.search ? urlParsingNode.search.replace(/^\\?/, '') : '',\n      hash: urlParsingNode.hash ? urlParsingNode.hash.replace(/^#/, '') : '',\n      hostname: urlParsingNode.hostname,\n      port: urlParsingNode.port,\n      pathname: urlParsingNode.pathname.charAt(0) === '/' ? urlParsingNode.pathname : '/' + urlParsingNode.pathname\n    };\n  }\n  originURL = resolveURL(window.location.href);\n\n  /**\n  * Determine if a URL shares the same origin as the current location\n  *\n  * @param {String} requestURL The URL to test\n  * @returns {boolean} True if URL shares the same origin, otherwise false\n  */\n  return function isURLSameOrigin(requestURL) {\n    var parsed = utils.isString(requestURL) ? resolveURL(requestURL) : requestURL;\n    return parsed.protocol === originURL.protocol && parsed.host === originURL.host;\n  };\n}() :\n// Non standard browser envs (web workers, react-native) lack needed support.\nfunction nonStandardBrowserEnv() {\n  return function isURLSameOrigin() {\n    return true;\n  };\n}();\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/node_modules/axios/lib/helpers/isURLSameOrigin.js?");
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-/***/ "./node_modules/openai/node_modules/axios/lib/helpers/normalizeHeaderName.js":
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-/***/ "./node_modules/openai/node_modules/axios/lib/helpers/parseHeaders.js":
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-  !*** ./node_modules/openai/node_modules/axios/lib/helpers/parseHeaders.js ***!
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-eval("\n\nvar utils = __webpack_require__(/*! ./../utils */ \"./node_modules/openai/node_modules/axios/lib/utils.js\");\n\n// Headers whose duplicates are ignored by node\n// c.f. https://nodejs.org/api/http.html#http_message_headers\nvar ignoreDuplicateOf = ['age', 'authorization', 'content-length', 'content-type', 'etag', 'expires', 'from', 'host', 'if-modified-since', 'if-unmodified-since', 'last-modified', 'location', 'max-forwards', 'proxy-authorization', 'referer', 'retry-after', 'user-agent'];\n\n/**\n * Parse headers into an object\n *\n * ```\n * Date: Wed, 27 Aug 2014 08:58:49 GMT\n * Content-Type: application/json\n * Connection: keep-alive\n * Transfer-Encoding: chunked\n * ```\n *\n * @param {String} headers Headers needing to be parsed\n * @returns {Object} Headers parsed into an object\n */\nmodule.exports = function parseHeaders(headers) {\n  var parsed = {};\n  var key;\n  var val;\n  var i;\n  if (!headers) {\n    return parsed;\n  }\n  utils.forEach(headers.split('\\n'), function parser(line) {\n    i = line.indexOf(':');\n    key = utils.trim(line.substr(0, i)).toLowerCase();\n    val = utils.trim(line.substr(i + 1));\n    if (key) {\n      if (parsed[key] && ignoreDuplicateOf.indexOf(key) >= 0) {\n        return;\n      }\n      if (key === 'set-cookie') {\n        parsed[key] = (parsed[key] ? parsed[key] : []).concat([val]);\n      } else {\n        parsed[key] = parsed[key] ? parsed[key] + ', ' + val : val;\n      }\n    }\n  });\n  return parsed;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/node_modules/axios/lib/helpers/parseHeaders.js?");
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-/***/ "./node_modules/openai/node_modules/axios/lib/helpers/spread.js":
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-  !*** ./node_modules/openai/node_modules/axios/lib/helpers/spread.js ***!
-  \**********************************************************************/
-/***/ (function(module) {
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-"use strict";
-eval("\n\n/**\n * Syntactic sugar for invoking a function and expanding an array for arguments.\n *\n * Common use case would be to use `Function.prototype.apply`.\n *\n *  ```js\n *  function f(x, y, z) {}\n *  var args = [1, 2, 3];\n *  f.apply(null, args);\n *  ```\n *\n * With `spread` this example can be re-written.\n *\n *  ```js\n *  spread(function(x, y, z) {})([1, 2, 3]);\n *  ```\n *\n * @param {Function} callback\n * @returns {Function}\n */\nmodule.exports = function spread(callback) {\n  return function wrap(arr) {\n    return callback.apply(null, arr);\n  };\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/node_modules/axios/lib/helpers/spread.js?");
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-  !*** ./node_modules/openai/node_modules/axios/lib/helpers/validator.js ***!
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-"use strict";
-eval("/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\n\n\nvar VERSION = (__webpack_require__(/*! ../env/data */ \"./node_modules/openai/node_modules/axios/lib/env/data.js\").version);\nvar validators = {};\n\n// eslint-disable-next-line func-names\n['object', 'boolean', 'number', 'function', 'string', 'symbol'].forEach(function (type, i) {\n  validators[type] = function validator(thing) {\n    return typeof thing === type || 'a' + (i < 1 ? 'n ' : ' ') + type;\n  };\n});\nvar deprecatedWarnings = {};\n\n/**\n * Transitional option validator\n * @param {function|boolean?} validator - set to false if the transitional option has been removed\n * @param {string?} version - deprecated version / removed since version\n * @param {string?} message - some message with additional info\n * @returns {function}\n */\nvalidators.transitional = function transitional(validator, version, message) {\n  function formatMessage(opt, desc) {\n    return '[Axios v' + VERSION + '] Transitional option \\'' + opt + '\\'' + desc + (message ? '. ' + message : '');\n  }\n\n  // eslint-disable-next-line func-names\n  return function (value, opt, opts) {\n    if (validator === false) {\n      throw new Error(formatMessage(opt, ' has been removed' + (version ? ' in ' + version : '')));\n    }\n    if (version && !deprecatedWarnings[opt]) {\n      deprecatedWarnings[opt] = true;\n      // eslint-disable-next-line no-console\n      console.warn(formatMessage(opt, ' has been deprecated since v' + version + ' and will be removed in the near future'));\n    }\n    return validator ? validator(value, opt, opts) : true;\n  };\n};\n\n/**\n * Assert object's properties type\n * @param {object} options\n * @param {object} schema\n * @param {boolean?} allowUnknown\n */\n\nfunction assertOptions(options, schema, allowUnknown) {\n  if (typeof options !== 'object') {\n    throw new TypeError('options must be an object');\n  }\n  var keys = Object.keys(options);\n  var i = keys.length;\n  while (i-- > 0) {\n    var opt = keys[i];\n    var validator = schema[opt];\n    if (validator) {\n      var value = options[opt];\n      var result = value === undefined || validator(value, opt, options);\n      if (result !== true) {\n        throw new TypeError('option ' + opt + ' must be ' + result);\n      }\n      continue;\n    }\n    if (allowUnknown !== true) {\n      throw Error('Unknown option ' + opt);\n    }\n  }\n}\nmodule.exports = {\n  assertOptions: assertOptions,\n  validators: validators\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/node_modules/axios/lib/helpers/validator.js?");
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-eval("\n\nvar bind = __webpack_require__(/*! ./helpers/bind */ \"./node_modules/openai/node_modules/axios/lib/helpers/bind.js\");\n\n// utils is a library of generic helper functions non-specific to axios\n\nvar toString = Object.prototype.toString;\n\n/**\n * Determine if a value is an Array\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an Array, otherwise false\n */\nfunction isArray(val) {\n  return Array.isArray(val);\n}\n\n/**\n * Determine if a value is undefined\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if the value is undefined, otherwise false\n */\nfunction isUndefined(val) {\n  return typeof val === 'undefined';\n}\n\n/**\n * Determine if a value is a Buffer\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Buffer, otherwise false\n */\nfunction isBuffer(val) {\n  return val !== null && !isUndefined(val) && val.constructor !== null && !isUndefined(val.constructor) && typeof val.constructor.isBuffer === 'function' && val.constructor.isBuffer(val);\n}\n\n/**\n * Determine if a value is an ArrayBuffer\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an ArrayBuffer, otherwise false\n */\nfunction isArrayBuffer(val) {\n  return toString.call(val) === '[object ArrayBuffer]';\n}\n\n/**\n * Determine if a value is a FormData\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an FormData, otherwise false\n */\nfunction isFormData(val) {\n  return toString.call(val) === '[object FormData]';\n}\n\n/**\n * Determine if a value is a view on an ArrayBuffer\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a view on an ArrayBuffer, otherwise false\n */\nfunction isArrayBufferView(val) {\n  var result;\n  if (typeof ArrayBuffer !== 'undefined' && ArrayBuffer.isView) {\n    result = ArrayBuffer.isView(val);\n  } else {\n    result = val && val.buffer && isArrayBuffer(val.buffer);\n  }\n  return result;\n}\n\n/**\n * Determine if a value is a String\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a String, otherwise false\n */\nfunction isString(val) {\n  return typeof val === 'string';\n}\n\n/**\n * Determine if a value is a Number\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Number, otherwise false\n */\nfunction isNumber(val) {\n  return typeof val === 'number';\n}\n\n/**\n * Determine if a value is an Object\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is an Object, otherwise false\n */\nfunction isObject(val) {\n  return val !== null && typeof val === 'object';\n}\n\n/**\n * Determine if a value is a plain Object\n *\n * @param {Object} val The value to test\n * @return {boolean} True if value is a plain Object, otherwise false\n */\nfunction isPlainObject(val) {\n  if (toString.call(val) !== '[object Object]') {\n    return false;\n  }\n  var prototype = Object.getPrototypeOf(val);\n  return prototype === null || prototype === Object.prototype;\n}\n\n/**\n * Determine if a value is a Date\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Date, otherwise false\n */\nfunction isDate(val) {\n  return toString.call(val) === '[object Date]';\n}\n\n/**\n * Determine if a value is a File\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a File, otherwise false\n */\nfunction isFile(val) {\n  return toString.call(val) === '[object File]';\n}\n\n/**\n * Determine if a value is a Blob\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Blob, otherwise false\n */\nfunction isBlob(val) {\n  return toString.call(val) === '[object Blob]';\n}\n\n/**\n * Determine if a value is a Function\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Function, otherwise false\n */\nfunction isFunction(val) {\n  return toString.call(val) === '[object Function]';\n}\n\n/**\n * Determine if a value is a Stream\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a Stream, otherwise false\n */\nfunction isStream(val) {\n  return isObject(val) && isFunction(val.pipe);\n}\n\n/**\n * Determine if a value is a URLSearchParams object\n *\n * @param {Object} val The value to test\n * @returns {boolean} True if value is a URLSearchParams object, otherwise false\n */\nfunction isURLSearchParams(val) {\n  return toString.call(val) === '[object URLSearchParams]';\n}\n\n/**\n * Trim excess whitespace off the beginning and end of a string\n *\n * @param {String} str The String to trim\n * @returns {String} The String freed of excess whitespace\n */\nfunction trim(str) {\n  return str.trim ? str.trim() : str.replace(/^\\s+|\\s+$/g, '');\n}\n\n/**\n * Determine if we're running in a standard browser environment\n *\n * This allows axios to run in a web worker, and react-native.\n * Both environments support XMLHttpRequest, but not fully standard globals.\n *\n * web workers:\n *  typeof window -> undefined\n *  typeof document -> undefined\n *\n * react-native:\n *  navigator.product -> 'ReactNative'\n * nativescript\n *  navigator.product -> 'NativeScript' or 'NS'\n */\nfunction isStandardBrowserEnv() {\n  if (typeof navigator !== 'undefined' && (navigator.product === 'ReactNative' || navigator.product === 'NativeScript' || navigator.product === 'NS')) {\n    return false;\n  }\n  return typeof window !== 'undefined' && typeof document !== 'undefined';\n}\n\n/**\n * Iterate over an Array or an Object invoking a function for each item.\n *\n * If `obj` is an Array callback will be called passing\n * the value, index, and complete array for each item.\n *\n * If 'obj' is an Object callback will be called passing\n * the value, key, and complete object for each property.\n *\n * @param {Object|Array} obj The object to iterate\n * @param {Function} fn The callback to invoke for each item\n */\nfunction forEach(obj, fn) {\n  // Don't bother if no value provided\n  if (obj === null || typeof obj === 'undefined') {\n    return;\n  }\n\n  // Force an array if not already something iterable\n  if (typeof obj !== 'object') {\n    /*eslint no-param-reassign:0*/\n    obj = [obj];\n  }\n  if (isArray(obj)) {\n    // Iterate over array values\n    for (var i = 0, l = obj.length; i < l; i++) {\n      fn.call(null, obj[i], i, obj);\n    }\n  } else {\n    // Iterate over object keys\n    for (var key in obj) {\n      if (Object.prototype.hasOwnProperty.call(obj, key)) {\n        fn.call(null, obj[key], key, obj);\n      }\n    }\n  }\n}\n\n/**\n * Accepts varargs expecting each argument to be an object, then\n * immutably merges the properties of each object and returns result.\n *\n * When multiple objects contain the same key the later object in\n * the arguments list will take precedence.\n *\n * Example:\n *\n * ```js\n * var result = merge({foo: 123}, {foo: 456});\n * console.log(result.foo); // outputs 456\n * ```\n *\n * @param {Object} obj1 Object to merge\n * @returns {Object} Result of all merge properties\n */\nfunction merge( /* obj1, obj2, obj3, ... */\n) {\n  var result = {};\n  function assignValue(val, key) {\n    if (isPlainObject(result[key]) && isPlainObject(val)) {\n      result[key] = merge(result[key], val);\n    } else if (isPlainObject(val)) {\n      result[key] = merge({}, val);\n    } else if (isArray(val)) {\n      result[key] = val.slice();\n    } else {\n      result[key] = val;\n    }\n  }\n  for (var i = 0, l = arguments.length; i < l; i++) {\n    forEach(arguments[i], assignValue);\n  }\n  return result;\n}\n\n/**\n * Extends object a by mutably adding to it the properties of object b.\n *\n * @param {Object} a The object to be extended\n * @param {Object} b The object to copy properties from\n * @param {Object} thisArg The object to bind function to\n * @return {Object} The resulting value of object a\n */\nfunction extend(a, b, thisArg) {\n  forEach(b, function assignValue(val, key) {\n    if (thisArg && typeof val === 'function') {\n      a[key] = bind(val, thisArg);\n    } else {\n      a[key] = val;\n    }\n  });\n  return a;\n}\n\n/**\n * Remove byte order marker. This catches EF BB BF (the UTF-8 BOM)\n *\n * @param {string} content with BOM\n * @return {string} content value without BOM\n */\nfunction stripBOM(content) {\n  if (content.charCodeAt(0) === 0xFEFF) {\n    content = content.slice(1);\n  }\n  return content;\n}\nmodule.exports = {\n  isArray: isArray,\n  isArrayBuffer: isArrayBuffer,\n  isBuffer: isBuffer,\n  isFormData: isFormData,\n  isArrayBufferView: isArrayBufferView,\n  isString: isString,\n  isNumber: isNumber,\n  isObject: isObject,\n  isPlainObject: isPlainObject,\n  isUndefined: isUndefined,\n  isDate: isDate,\n  isFile: isFile,\n  isBlob: isBlob,\n  isFunction: isFunction,\n  isStream: isStream,\n  isURLSearchParams: isURLSearchParams,\n  isStandardBrowserEnv: isStandardBrowserEnv,\n  forEach: forEach,\n  merge: merge,\n  extend: extend,\n  trim: trim,\n  stripBOM: stripBOM\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/node_modules/axios/lib/utils.js?");
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-eval("__webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n// shim for using process in browser\nvar process = module.exports = {};\n\n// cached from whatever global is present so that test runners that stub it\n// don't break things.  But we need to wrap it in a try catch in case it is\n// wrapped in strict mode code which doesn't define any globals.  It's inside a\n// function because try/catches deoptimize in certain engines.\n\nvar cachedSetTimeout;\nvar cachedClearTimeout;\nfunction defaultSetTimout() {\n  throw new Error('setTimeout has not been defined');\n}\nfunction defaultClearTimeout() {\n  throw new Error('clearTimeout has not been defined');\n}\n(function () {\n  try {\n    if (typeof setTimeout === 'function') {\n      cachedSetTimeout = setTimeout;\n    } else {\n      cachedSetTimeout = defaultSetTimout;\n    }\n  } catch (e) {\n    cachedSetTimeout = defaultSetTimout;\n  }\n  try {\n    if (typeof clearTimeout === 'function') {\n      cachedClearTimeout = clearTimeout;\n    } else {\n      cachedClearTimeout = defaultClearTimeout;\n    }\n  } catch (e) {\n    cachedClearTimeout = defaultClearTimeout;\n  }\n})();\nfunction runTimeout(fun) {\n  if (cachedSetTimeout === setTimeout) {\n    //normal enviroments in sane situations\n    return setTimeout(fun, 0);\n  }\n  // if setTimeout wasn't available but was latter defined\n  if ((cachedSetTimeout === defaultSetTimout || !cachedSetTimeout) && setTimeout) {\n    cachedSetTimeout = setTimeout;\n    return setTimeout(fun, 0);\n  }\n  try {\n    // when when somebody has screwed with setTimeout but no I.E. maddness\n    return cachedSetTimeout(fun, 0);\n  } catch (e) {\n    try {\n      // When we are in I.E. but the script has been evaled so I.E. doesn't trust the global object when called normally\n      return cachedSetTimeout.call(null, fun, 0);\n    } catch (e) {\n      // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error\n      return cachedSetTimeout.call(this, fun, 0);\n    }\n  }\n}\nfunction runClearTimeout(marker) {\n  if (cachedClearTimeout === clearTimeout) {\n    //normal enviroments in sane situations\n    return clearTimeout(marker);\n  }\n  // if clearTimeout wasn't available but was latter defined\n  if ((cachedClearTimeout === defaultClearTimeout || !cachedClearTimeout) && clearTimeout) {\n    cachedClearTimeout = clearTimeout;\n    return clearTimeout(marker);\n  }\n  try {\n    // when when somebody has screwed with setTimeout but no I.E. maddness\n    return cachedClearTimeout(marker);\n  } catch (e) {\n    try {\n      // When we are in I.E. but the script has been evaled so I.E. doesn't  trust the global object when called normally\n      return cachedClearTimeout.call(null, marker);\n    } catch (e) {\n      // same as above but when it's a version of I.E. that must have the global object for 'this', hopfully our context correct otherwise it will throw a global error.\n      // Some versions of I.E. have different rules for clearTimeout vs setTimeout\n      return cachedClearTimeout.call(this, marker);\n    }\n  }\n}\nvar queue = [];\nvar draining = false;\nvar currentQueue;\nvar queueIndex = -1;\nfunction cleanUpNextTick() {\n  if (!draining || !currentQueue) {\n    return;\n  }\n  draining = false;\n  if (currentQueue.length) {\n    queue = currentQueue.concat(queue);\n  } else {\n    queueIndex = -1;\n  }\n  if (queue.length) {\n    drainQueue();\n  }\n}\nfunction drainQueue() {\n  if (draining) {\n    return;\n  }\n  var timeout = runTimeout(cleanUpNextTick);\n  draining = true;\n  var len = queue.length;\n  while (len) {\n    currentQueue = queue;\n    queue = [];\n    while (++queueIndex < len) {\n      if (currentQueue) {\n        currentQueue[queueIndex].run();\n      }\n    }\n    queueIndex = -1;\n    len = queue.length;\n  }\n  currentQueue = null;\n  draining = false;\n  runClearTimeout(timeout);\n}\nprocess.nextTick = function (fun) {\n  var args = new Array(arguments.length - 1);\n  if (arguments.length > 1) {\n    for (var i = 1; i < arguments.length; i++) {\n      args[i - 1] = arguments[i];\n    }\n  }\n  queue.push(new Item(fun, args));\n  if (queue.length === 1 && !draining) {\n    runTimeout(drainQueue);\n  }\n};\n\n// v8 likes predictible objects\nfunction Item(fun, array) {\n  this.fun = fun;\n  this.array = array;\n}\nItem.prototype.run = function () {\n  this.fun.apply(null, this.array);\n};\nprocess.title = 'browser';\nprocess.browser = true;\nprocess.env = {};\nprocess.argv = [];\nprocess.version = ''; // empty string to avoid regexp issues\nprocess.versions = {};\nfunction noop() {}\nprocess.on = noop;\nprocess.addListener = noop;\nprocess.once = noop;\nprocess.off = noop;\nprocess.removeListener = noop;\nprocess.removeAllListeners = noop;\nprocess.emit = noop;\nprocess.prependListener = noop;\nprocess.prependOnceListener = noop;\nprocess.listeners = function (name) {\n  return [];\n};\nprocess.binding = function (name) {\n  throw new Error('process.binding is not supported');\n};\nprocess.cwd = function () {\n  return '/';\n};\nprocess.chdir = function (dir) {\n  throw new Error('process.chdir is not supported');\n};\nprocess.umask = function () {\n  return 0;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/process/browser.js?");
-
-/***/ }),
-
-/***/ "./node_modules/resize-observer-polyfill/dist/ResizeObserver.es.js":
-/*!*************************************************************************!*\
-  !*** ./node_modules/resize-observer-polyfill/dist/ResizeObserver.es.js ***!
-  \*************************************************************************/
-/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {
-
-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__);\n\n/**\r\n * A collection of shims that provide minimal functionality of the ES6 collections.\r\n *\r\n * These implementations are not meant to be used outside of the ResizeObserver\r\n * modules as they cover only a limited range of use cases.\r\n */\n/* eslint-disable require-jsdoc, valid-jsdoc */\nvar MapShim = function () {\n  if (typeof Map !== 'undefined') {\n    return Map;\n  }\n  /**\r\n   * Returns index in provided array that matches the specified key.\r\n   *\r\n   * @param {Array<Array>} arr\r\n   * @param {*} key\r\n   * @returns {number}\r\n   */\n  function getIndex(arr, key) {\n    var result = -1;\n    arr.some(function (entry, index) {\n      if (entry[0] === key) {\n        result = index;\n        return true;\n      }\n      return false;\n    });\n    return result;\n  }\n  return (/** @class */function () {\n      function class_1() {\n        this.__entries__ = [];\n      }\n      Object.defineProperty(class_1.prototype, \"size\", {\n        /**\r\n         * @returns {boolean}\r\n         */\n        get: function () {\n          return this.__entries__.length;\n        },\n        enumerable: true,\n        configurable: true\n      });\n      /**\r\n       * @param {*} key\r\n       * @returns {*}\r\n       */\n      class_1.prototype.get = function (key) {\n        var index = getIndex(this.__entries__, key);\n        var entry = this.__entries__[index];\n        return entry && entry[1];\n      };\n      /**\r\n       * @param {*} key\r\n       * @param {*} value\r\n       * @returns {void}\r\n       */\n      class_1.prototype.set = function (key, value) {\n        var index = getIndex(this.__entries__, key);\n        if (~index) {\n          this.__entries__[index][1] = value;\n        } else {\n          this.__entries__.push([key, value]);\n        }\n      };\n      /**\r\n       * @param {*} key\r\n       * @returns {void}\r\n       */\n      class_1.prototype.delete = function (key) {\n        var entries = this.__entries__;\n        var index = getIndex(entries, key);\n        if (~index) {\n          entries.splice(index, 1);\n        }\n      };\n      /**\r\n       * @param {*} key\r\n       * @returns {void}\r\n       */\n      class_1.prototype.has = function (key) {\n        return !!~getIndex(this.__entries__, key);\n      };\n      /**\r\n       * @returns {void}\r\n       */\n      class_1.prototype.clear = function () {\n        this.__entries__.splice(0);\n      };\n      /**\r\n       * @param {Function} callback\r\n       * @param {*} [ctx=null]\r\n       * @returns {void}\r\n       */\n      class_1.prototype.forEach = function (callback, ctx) {\n        if (ctx === void 0) {\n          ctx = null;\n        }\n        for (var _i = 0, _a = this.__entries__; _i < _a.length; _i++) {\n          var entry = _a[_i];\n          callback.call(ctx, entry[1], entry[0]);\n        }\n      };\n      return class_1;\n    }()\n  );\n}();\n\n/**\r\n * Detects whether window and document objects are available in current environment.\r\n */\nvar isBrowser = typeof window !== 'undefined' && typeof document !== 'undefined' && window.document === document;\n\n// Returns global object of a current environment.\nvar global$1 = function () {\n  if (typeof __webpack_require__.g !== 'undefined' && __webpack_require__.g.Math === Math) {\n    return __webpack_require__.g;\n  }\n  if (typeof self !== 'undefined' && self.Math === Math) {\n    return self;\n  }\n  if (typeof window !== 'undefined' && window.Math === Math) {\n    return window;\n  }\n  // eslint-disable-next-line no-new-func\n  return Function('return this')();\n}();\n\n/**\r\n * A shim for the requestAnimationFrame which falls back to the setTimeout if\r\n * first one is not supported.\r\n *\r\n * @returns {number} Requests' identifier.\r\n */\nvar requestAnimationFrame$1 = function () {\n  if (typeof requestAnimationFrame === 'function') {\n    // It's required to use a bounded function because IE sometimes throws\n    // an \"Invalid calling object\" error if rAF is invoked without the global\n    // object on the left hand side.\n    return requestAnimationFrame.bind(global$1);\n  }\n  return function (callback) {\n    return setTimeout(function () {\n      return callback(Date.now());\n    }, 1000 / 60);\n  };\n}();\n\n// Defines minimum timeout before adding a trailing call.\nvar trailingTimeout = 2;\n/**\r\n * Creates a wrapper function which ensures that provided callback will be\r\n * invoked only once during the specified delay period.\r\n *\r\n * @param {Function} callback - Function to be invoked after the delay period.\r\n * @param {number} delay - Delay after which to invoke callback.\r\n * @returns {Function}\r\n */\nfunction throttle(callback, delay) {\n  var leadingCall = false,\n    trailingCall = false,\n    lastCallTime = 0;\n  /**\r\n   * Invokes the original callback function and schedules new invocation if\r\n   * the \"proxy\" was called during current request.\r\n   *\r\n   * @returns {void}\r\n   */\n  function resolvePending() {\n    if (leadingCall) {\n      leadingCall = false;\n      callback();\n    }\n    if (trailingCall) {\n      proxy();\n    }\n  }\n  /**\r\n   * Callback invoked after the specified delay. It will further postpone\r\n   * invocation of the original function delegating it to the\r\n   * requestAnimationFrame.\r\n   *\r\n   * @returns {void}\r\n   */\n  function timeoutCallback() {\n    requestAnimationFrame$1(resolvePending);\n  }\n  /**\r\n   * Schedules invocation of the original function.\r\n   *\r\n   * @returns {void}\r\n   */\n  function proxy() {\n    var timeStamp = Date.now();\n    if (leadingCall) {\n      // Reject immediately following calls.\n      if (timeStamp - lastCallTime < trailingTimeout) {\n        return;\n      }\n      // Schedule new call to be in invoked when the pending one is resolved.\n      // This is important for \"transitions\" which never actually start\n      // immediately so there is a chance that we might miss one if change\n      // happens amids the pending invocation.\n      trailingCall = true;\n    } else {\n      leadingCall = true;\n      trailingCall = false;\n      setTimeout(timeoutCallback, delay);\n    }\n    lastCallTime = timeStamp;\n  }\n  return proxy;\n}\n\n// Minimum delay before invoking the update of observers.\nvar REFRESH_DELAY = 20;\n// A list of substrings of CSS properties used to find transition events that\n// might affect dimensions of observed elements.\nvar transitionKeys = ['top', 'right', 'bottom', 'left', 'width', 'height', 'size', 'weight'];\n// Check if MutationObserver is available.\nvar mutationObserverSupported = typeof MutationObserver !== 'undefined';\n/**\r\n * Singleton controller class which handles updates of ResizeObserver instances.\r\n */\nvar ResizeObserverController = /** @class */function () {\n  /**\r\n   * Creates a new instance of ResizeObserverController.\r\n   *\r\n   * @private\r\n   */\n  function ResizeObserverController() {\n    /**\r\n     * Indicates whether DOM listeners have been added.\r\n     *\r\n     * @private {boolean}\r\n     */\n    this.connected_ = false;\n    /**\r\n     * Tells that controller has subscribed for Mutation Events.\r\n     *\r\n     * @private {boolean}\r\n     */\n    this.mutationEventsAdded_ = false;\n    /**\r\n     * Keeps reference to the instance of MutationObserver.\r\n     *\r\n     * @private {MutationObserver}\r\n     */\n    this.mutationsObserver_ = null;\n    /**\r\n     * A list of connected observers.\r\n     *\r\n     * @private {Array<ResizeObserverSPI>}\r\n     */\n    this.observers_ = [];\n    this.onTransitionEnd_ = this.onTransitionEnd_.bind(this);\n    this.refresh = throttle(this.refresh.bind(this), REFRESH_DELAY);\n  }\n  /**\r\n   * Adds observer to observers list.\r\n   *\r\n   * @param {ResizeObserverSPI} observer - Observer to be added.\r\n   * @returns {void}\r\n   */\n  ResizeObserverController.prototype.addObserver = function (observer) {\n    if (!~this.observers_.indexOf(observer)) {\n      this.observers_.push(observer);\n    }\n    // Add listeners if they haven't been added yet.\n    if (!this.connected_) {\n      this.connect_();\n    }\n  };\n  /**\r\n   * Removes observer from observers list.\r\n   *\r\n   * @param {ResizeObserverSPI} observer - Observer to be removed.\r\n   * @returns {void}\r\n   */\n  ResizeObserverController.prototype.removeObserver = function (observer) {\n    var observers = this.observers_;\n    var index = observers.indexOf(observer);\n    // Remove observer if it's present in registry.\n    if (~index) {\n      observers.splice(index, 1);\n    }\n    // Remove listeners if controller has no connected observers.\n    if (!observers.length && this.connected_) {\n      this.disconnect_();\n    }\n  };\n  /**\r\n   * Invokes the update of observers. It will continue running updates insofar\r\n   * it detects changes.\r\n   *\r\n   * @returns {void}\r\n   */\n  ResizeObserverController.prototype.refresh = function () {\n    var changesDetected = this.updateObservers_();\n    // Continue running updates if changes have been detected as there might\n    // be future ones caused by CSS transitions.\n    if (changesDetected) {\n      this.refresh();\n    }\n  };\n  /**\r\n   * Updates every observer from observers list and notifies them of queued\r\n   * entries.\r\n   *\r\n   * @private\r\n   * @returns {boolean} Returns \"true\" if any observer has detected changes in\r\n   *      dimensions of it's elements.\r\n   */\n  ResizeObserverController.prototype.updateObservers_ = function () {\n    // Collect observers that have active observations.\n    var activeObservers = this.observers_.filter(function (observer) {\n      return observer.gatherActive(), observer.hasActive();\n    });\n    // Deliver notifications in a separate cycle in order to avoid any\n    // collisions between observers, e.g. when multiple instances of\n    // ResizeObserver are tracking the same element and the callback of one\n    // of them changes content dimensions of the observed target. Sometimes\n    // this may result in notifications being blocked for the rest of observers.\n    activeObservers.forEach(function (observer) {\n      return observer.broadcastActive();\n    });\n    return activeObservers.length > 0;\n  };\n  /**\r\n   * Initializes DOM listeners.\r\n   *\r\n   * @private\r\n   * @returns {void}\r\n   */\n  ResizeObserverController.prototype.connect_ = function () {\n    // Do nothing if running in a non-browser environment or if listeners\n    // have been already added.\n    if (!isBrowser || this.connected_) {\n      return;\n    }\n    // Subscription to the \"Transitionend\" event is used as a workaround for\n    // delayed transitions. This way it's possible to capture at least the\n    // final state of an element.\n    document.addEventListener('transitionend', this.onTransitionEnd_);\n    window.addEventListener('resize', this.refresh);\n    if (mutationObserverSupported) {\n      this.mutationsObserver_ = new MutationObserver(this.refresh);\n      this.mutationsObserver_.observe(document, {\n        attributes: true,\n        childList: true,\n        characterData: true,\n        subtree: true\n      });\n    } else {\n      document.addEventListener('DOMSubtreeModified', this.refresh);\n      this.mutationEventsAdded_ = true;\n    }\n    this.connected_ = true;\n  };\n  /**\r\n   * Removes DOM listeners.\r\n   *\r\n   * @private\r\n   * @returns {void}\r\n   */\n  ResizeObserverController.prototype.disconnect_ = function () {\n    // Do nothing if running in a non-browser environment or if listeners\n    // have been already removed.\n    if (!isBrowser || !this.connected_) {\n      return;\n    }\n    document.removeEventListener('transitionend', this.onTransitionEnd_);\n    window.removeEventListener('resize', this.refresh);\n    if (this.mutationsObserver_) {\n      this.mutationsObserver_.disconnect();\n    }\n    if (this.mutationEventsAdded_) {\n      document.removeEventListener('DOMSubtreeModified', this.refresh);\n    }\n    this.mutationsObserver_ = null;\n    this.mutationEventsAdded_ = false;\n    this.connected_ = false;\n  };\n  /**\r\n   * \"Transitionend\" event handler.\r\n   *\r\n   * @private\r\n   * @param {TransitionEvent} event\r\n   * @returns {void}\r\n   */\n  ResizeObserverController.prototype.onTransitionEnd_ = function (_a) {\n    var _b = _a.propertyName,\n      propertyName = _b === void 0 ? '' : _b;\n    // Detect whether transition may affect dimensions of an element.\n    var isReflowProperty = transitionKeys.some(function (key) {\n      return !!~propertyName.indexOf(key);\n    });\n    if (isReflowProperty) {\n      this.refresh();\n    }\n  };\n  /**\r\n   * Returns instance of the ResizeObserverController.\r\n   *\r\n   * @returns {ResizeObserverController}\r\n   */\n  ResizeObserverController.getInstance = function () {\n    if (!this.instance_) {\n      this.instance_ = new ResizeObserverController();\n    }\n    return this.instance_;\n  };\n  /**\r\n   * Holds reference to the controller's instance.\r\n   *\r\n   * @private {ResizeObserverController}\r\n   */\n  ResizeObserverController.instance_ = null;\n  return ResizeObserverController;\n}();\n\n/**\r\n * Defines non-writable/enumerable properties of the provided target object.\r\n *\r\n * @param {Object} target - Object for which to define properties.\r\n * @param {Object} props - Properties to be defined.\r\n * @returns {Object} Target object.\r\n */\nvar defineConfigurable = function (target, props) {\n  for (var _i = 0, _a = Object.keys(props); _i < _a.length; _i++) {\n    var key = _a[_i];\n    Object.defineProperty(target, key, {\n      value: props[key],\n      enumerable: false,\n      writable: false,\n      configurable: true\n    });\n  }\n  return target;\n};\n\n/**\r\n * Returns the global object associated with provided element.\r\n *\r\n * @param {Object} target\r\n * @returns {Object}\r\n */\nvar getWindowOf = function (target) {\n  // Assume that the element is an instance of Node, which means that it\n  // has the \"ownerDocument\" property from which we can retrieve a\n  // corresponding global object.\n  var ownerGlobal = target && target.ownerDocument && target.ownerDocument.defaultView;\n  // Return the local global object if it's not possible extract one from\n  // provided element.\n  return ownerGlobal || global$1;\n};\n\n// Placeholder of an empty content rectangle.\nvar emptyRect = createRectInit(0, 0, 0, 0);\n/**\r\n * Converts provided string to a number.\r\n *\r\n * @param {number|string} value\r\n * @returns {number}\r\n */\nfunction toFloat(value) {\n  return parseFloat(value) || 0;\n}\n/**\r\n * Extracts borders size from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @param {...string} positions - Borders positions (top, right, ...)\r\n * @returns {number}\r\n */\nfunction getBordersSize(styles) {\n  var positions = [];\n  for (var _i = 1; _i < arguments.length; _i++) {\n    positions[_i - 1] = arguments[_i];\n  }\n  return positions.reduce(function (size, position) {\n    var value = styles['border-' + position + '-width'];\n    return size + toFloat(value);\n  }, 0);\n}\n/**\r\n * Extracts paddings sizes from provided styles.\r\n *\r\n * @param {CSSStyleDeclaration} styles\r\n * @returns {Object} Paddings box.\r\n */\nfunction getPaddings(styles) {\n  var positions = ['top', 'right', 'bottom', 'left'];\n  var paddings = {};\n  for (var _i = 0, positions_1 = positions; _i < positions_1.length; _i++) {\n    var position = positions_1[_i];\n    var value = styles['padding-' + position];\n    paddings[position] = toFloat(value);\n  }\n  return paddings;\n}\n/**\r\n * Calculates content rectangle of provided SVG element.\r\n *\r\n * @param {SVGGraphicsElement} target - Element content rectangle of which needs\r\n *      to be calculated.\r\n * @returns {DOMRectInit}\r\n */\nfunction getSVGContentRect(target) {\n  var bbox = target.getBBox();\n  return createRectInit(0, 0, bbox.width, bbox.height);\n}\n/**\r\n * Calculates content rectangle of provided HTMLElement.\r\n *\r\n * @param {HTMLElement} target - Element for which to calculate the content rectangle.\r\n * @returns {DOMRectInit}\r\n */\nfunction getHTMLElementContentRect(target) {\n  // Client width & height properties can't be\n  // used exclusively as they provide rounded values.\n  var clientWidth = target.clientWidth,\n    clientHeight = target.clientHeight;\n  // By this condition we can catch all non-replaced inline, hidden and\n  // detached elements. Though elements with width & height properties less\n  // than 0.5 will be discarded as well.\n  //\n  // Without it we would need to implement separate methods for each of\n  // those cases and it's not possible to perform a precise and performance\n  // effective test for hidden elements. E.g. even jQuery's ':visible' filter\n  // gives wrong results for elements with width & height less than 0.5.\n  if (!clientWidth && !clientHeight) {\n    return emptyRect;\n  }\n  var styles = getWindowOf(target).getComputedStyle(target);\n  var paddings = getPaddings(styles);\n  var horizPad = paddings.left + paddings.right;\n  var vertPad = paddings.top + paddings.bottom;\n  // Computed styles of width & height are being used because they are the\n  // only dimensions available to JS that contain non-rounded values. It could\n  // be possible to utilize the getBoundingClientRect if only it's data wasn't\n  // affected by CSS transformations let alone paddings, borders and scroll bars.\n  var width = toFloat(styles.width),\n    height = toFloat(styles.height);\n  // Width & height include paddings and borders when the 'border-box' box\n  // model is applied (except for IE).\n  if (styles.boxSizing === 'border-box') {\n    // Following conditions are required to handle Internet Explorer which\n    // doesn't include paddings and borders to computed CSS dimensions.\n    //\n    // We can say that if CSS dimensions + paddings are equal to the \"client\"\n    // properties then it's either IE, and thus we don't need to subtract\n    // anything, or an element merely doesn't have paddings/borders styles.\n    if (Math.round(width + horizPad) !== clientWidth) {\n      width -= getBordersSize(styles, 'left', 'right') + horizPad;\n    }\n    if (Math.round(height + vertPad) !== clientHeight) {\n      height -= getBordersSize(styles, 'top', 'bottom') + vertPad;\n    }\n  }\n  // Following steps can't be applied to the document's root element as its\n  // client[Width/Height] properties represent viewport area of the window.\n  // Besides, it's as well not necessary as the <html> itself neither has\n  // rendered scroll bars nor it can be clipped.\n  if (!isDocumentElement(target)) {\n    // In some browsers (only in Firefox, actually) CSS width & height\n    // include scroll bars size which can be removed at this step as scroll\n    // bars are the only difference between rounded dimensions + paddings\n    // and \"client\" properties, though that is not always true in Chrome.\n    var vertScrollbar = Math.round(width + horizPad) - clientWidth;\n    var horizScrollbar = Math.round(height + vertPad) - clientHeight;\n    // Chrome has a rather weird rounding of \"client\" properties.\n    // E.g. for an element with content width of 314.2px it sometimes gives\n    // the client width of 315px and for the width of 314.7px it may give\n    // 314px. And it doesn't happen all the time. So just ignore this delta\n    // as a non-relevant.\n    if (Math.abs(vertScrollbar) !== 1) {\n      width -= vertScrollbar;\n    }\n    if (Math.abs(horizScrollbar) !== 1) {\n      height -= horizScrollbar;\n    }\n  }\n  return createRectInit(paddings.left, paddings.top, width, height);\n}\n/**\r\n * Checks whether provided element is an instance of the SVGGraphicsElement.\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\nvar isSVGGraphicsElement = function () {\n  // Some browsers, namely IE and Edge, don't have the SVGGraphicsElement\n  // interface.\n  if (typeof SVGGraphicsElement !== 'undefined') {\n    return function (target) {\n      return target instanceof getWindowOf(target).SVGGraphicsElement;\n    };\n  }\n  // If it's so, then check that element is at least an instance of the\n  // SVGElement and that it has the \"getBBox\" method.\n  // eslint-disable-next-line no-extra-parens\n  return function (target) {\n    return target instanceof getWindowOf(target).SVGElement && typeof target.getBBox === 'function';\n  };\n}();\n/**\r\n * Checks whether provided element is a document element (<html>).\r\n *\r\n * @param {Element} target - Element to be checked.\r\n * @returns {boolean}\r\n */\nfunction isDocumentElement(target) {\n  return target === getWindowOf(target).document.documentElement;\n}\n/**\r\n * Calculates an appropriate content rectangle for provided html or svg element.\r\n *\r\n * @param {Element} target - Element content rectangle of which needs to be calculated.\r\n * @returns {DOMRectInit}\r\n */\nfunction getContentRect(target) {\n  if (!isBrowser) {\n    return emptyRect;\n  }\n  if (isSVGGraphicsElement(target)) {\n    return getSVGContentRect(target);\n  }\n  return getHTMLElementContentRect(target);\n}\n/**\r\n * Creates rectangle with an interface of the DOMRectReadOnly.\r\n * Spec: https://drafts.fxtf.org/geometry/#domrectreadonly\r\n *\r\n * @param {DOMRectInit} rectInit - Object with rectangle's x/y coordinates and dimensions.\r\n * @returns {DOMRectReadOnly}\r\n */\nfunction createReadOnlyRect(_a) {\n  var x = _a.x,\n    y = _a.y,\n    width = _a.width,\n    height = _a.height;\n  // If DOMRectReadOnly is available use it as a prototype for the rectangle.\n  var Constr = typeof DOMRectReadOnly !== 'undefined' ? DOMRectReadOnly : Object;\n  var rect = Object.create(Constr.prototype);\n  // Rectangle's properties are not writable and non-enumerable.\n  defineConfigurable(rect, {\n    x: x,\n    y: y,\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: height + y,\n    left: x\n  });\n  return rect;\n}\n/**\r\n * Creates DOMRectInit object based on the provided dimensions and the x/y coordinates.\r\n * Spec: https://drafts.fxtf.org/geometry/#dictdef-domrectinit\r\n *\r\n * @param {number} x - X coordinate.\r\n * @param {number} y - Y coordinate.\r\n * @param {number} width - Rectangle's width.\r\n * @param {number} height - Rectangle's height.\r\n * @returns {DOMRectInit}\r\n */\nfunction createRectInit(x, y, width, height) {\n  return {\n    x: x,\n    y: y,\n    width: width,\n    height: height\n  };\n}\n\n/**\r\n * Class that is responsible for computations of the content rectangle of\r\n * provided DOM element and for keeping track of it's changes.\r\n */\nvar ResizeObservation = /** @class */function () {\n  /**\r\n   * Creates an instance of ResizeObservation.\r\n   *\r\n   * @param {Element} target - Element to be observed.\r\n   */\n  function ResizeObservation(target) {\n    /**\r\n     * Broadcasted width of content rectangle.\r\n     *\r\n     * @type {number}\r\n     */\n    this.broadcastWidth = 0;\n    /**\r\n     * Broadcasted height of content rectangle.\r\n     *\r\n     * @type {number}\r\n     */\n    this.broadcastHeight = 0;\n    /**\r\n     * Reference to the last observed content rectangle.\r\n     *\r\n     * @private {DOMRectInit}\r\n     */\n    this.contentRect_ = createRectInit(0, 0, 0, 0);\n    this.target = target;\n  }\n  /**\r\n   * Updates content rectangle and tells whether it's width or height properties\r\n   * have changed since the last broadcast.\r\n   *\r\n   * @returns {boolean}\r\n   */\n  ResizeObservation.prototype.isActive = function () {\n    var rect = getContentRect(this.target);\n    this.contentRect_ = rect;\n    return rect.width !== this.broadcastWidth || rect.height !== this.broadcastHeight;\n  };\n  /**\r\n   * Updates 'broadcastWidth' and 'broadcastHeight' properties with a data\r\n   * from the corresponding properties of the last observed content rectangle.\r\n   *\r\n   * @returns {DOMRectInit} Last observed content rectangle.\r\n   */\n  ResizeObservation.prototype.broadcastRect = function () {\n    var rect = this.contentRect_;\n    this.broadcastWidth = rect.width;\n    this.broadcastHeight = rect.height;\n    return rect;\n  };\n  return ResizeObservation;\n}();\nvar ResizeObserverEntry = /** @class */function () {\n  /**\r\n   * Creates an instance of ResizeObserverEntry.\r\n   *\r\n   * @param {Element} target - Element that is being observed.\r\n   * @param {DOMRectInit} rectInit - Data of the element's content rectangle.\r\n   */\n  function ResizeObserverEntry(target, rectInit) {\n    var contentRect = createReadOnlyRect(rectInit);\n    // According to the specification following properties are not writable\n    // and are also not enumerable in the native implementation.\n    //\n    // Property accessors are not being used as they'd require to define a\n    // private WeakMap storage which may cause memory leaks in browsers that\n    // don't support this type of collections.\n    defineConfigurable(this, {\n      target: target,\n      contentRect: contentRect\n    });\n  }\n  return ResizeObserverEntry;\n}();\nvar ResizeObserverSPI = /** @class */function () {\n  /**\r\n   * Creates a new instance of ResizeObserver.\r\n   *\r\n   * @param {ResizeObserverCallback} callback - Callback function that is invoked\r\n   *      when one of the observed elements changes it's content dimensions.\r\n   * @param {ResizeObserverController} controller - Controller instance which\r\n   *      is responsible for the updates of observer.\r\n   * @param {ResizeObserver} callbackCtx - Reference to the public\r\n   *      ResizeObserver instance which will be passed to callback function.\r\n   */\n  function ResizeObserverSPI(callback, controller, callbackCtx) {\n    /**\r\n     * Collection of resize observations that have detected changes in dimensions\r\n     * of elements.\r\n     *\r\n     * @private {Array<ResizeObservation>}\r\n     */\n    this.activeObservations_ = [];\n    /**\r\n     * Registry of the ResizeObservation instances.\r\n     *\r\n     * @private {Map<Element, ResizeObservation>}\r\n     */\n    this.observations_ = new MapShim();\n    if (typeof callback !== 'function') {\n      throw new TypeError('The callback provided as parameter 1 is not a function.');\n    }\n    this.callback_ = callback;\n    this.controller_ = controller;\n    this.callbackCtx_ = callbackCtx;\n  }\n  /**\r\n   * Starts observing provided element.\r\n   *\r\n   * @param {Element} target - Element to be observed.\r\n   * @returns {void}\r\n   */\n  ResizeObserverSPI.prototype.observe = function (target) {\n    if (!arguments.length) {\n      throw new TypeError('1 argument required, but only 0 present.');\n    }\n    // Do nothing if current environment doesn't have the Element interface.\n    if (typeof Element === 'undefined' || !(Element instanceof Object)) {\n      return;\n    }\n    if (!(target instanceof getWindowOf(target).Element)) {\n      throw new TypeError('parameter 1 is not of type \"Element\".');\n    }\n    var observations = this.observations_;\n    // Do nothing if element is already being observed.\n    if (observations.has(target)) {\n      return;\n    }\n    observations.set(target, new ResizeObservation(target));\n    this.controller_.addObserver(this);\n    // Force the update of observations.\n    this.controller_.refresh();\n  };\n  /**\r\n   * Stops observing provided element.\r\n   *\r\n   * @param {Element} target - Element to stop observing.\r\n   * @returns {void}\r\n   */\n  ResizeObserverSPI.prototype.unobserve = function (target) {\n    if (!arguments.length) {\n      throw new TypeError('1 argument required, but only 0 present.');\n    }\n    // Do nothing if current environment doesn't have the Element interface.\n    if (typeof Element === 'undefined' || !(Element instanceof Object)) {\n      return;\n    }\n    if (!(target instanceof getWindowOf(target).Element)) {\n      throw new TypeError('parameter 1 is not of type \"Element\".');\n    }\n    var observations = this.observations_;\n    // Do nothing if element is not being observed.\n    if (!observations.has(target)) {\n      return;\n    }\n    observations.delete(target);\n    if (!observations.size) {\n      this.controller_.removeObserver(this);\n    }\n  };\n  /**\r\n   * Stops observing all elements.\r\n   *\r\n   * @returns {void}\r\n   */\n  ResizeObserverSPI.prototype.disconnect = function () {\n    this.clearActive();\n    this.observations_.clear();\n    this.controller_.removeObserver(this);\n  };\n  /**\r\n   * Collects observation instances the associated element of which has changed\r\n   * it's content rectangle.\r\n   *\r\n   * @returns {void}\r\n   */\n  ResizeObserverSPI.prototype.gatherActive = function () {\n    var _this = this;\n    this.clearActive();\n    this.observations_.forEach(function (observation) {\n      if (observation.isActive()) {\n        _this.activeObservations_.push(observation);\n      }\n    });\n  };\n  /**\r\n   * Invokes initial callback function with a list of ResizeObserverEntry\r\n   * instances collected from active resize observations.\r\n   *\r\n   * @returns {void}\r\n   */\n  ResizeObserverSPI.prototype.broadcastActive = function () {\n    // Do nothing if observer doesn't have active observations.\n    if (!this.hasActive()) {\n      return;\n    }\n    var ctx = this.callbackCtx_;\n    // Create ResizeObserverEntry instance for every active observation.\n    var entries = this.activeObservations_.map(function (observation) {\n      return new ResizeObserverEntry(observation.target, observation.broadcastRect());\n    });\n    this.callback_.call(ctx, entries, ctx);\n    this.clearActive();\n  };\n  /**\r\n   * Clears the collection of active observations.\r\n   *\r\n   * @returns {void}\r\n   */\n  ResizeObserverSPI.prototype.clearActive = function () {\n    this.activeObservations_.splice(0);\n  };\n  /**\r\n   * Tells whether observer has active observations.\r\n   *\r\n   * @returns {boolean}\r\n   */\n  ResizeObserverSPI.prototype.hasActive = function () {\n    return this.activeObservations_.length > 0;\n  };\n  return ResizeObserverSPI;\n}();\n\n// Registry of internal observers. If WeakMap is not available use current shim\n// for the Map collection as it has all required methods and because WeakMap\n// can't be fully polyfilled anyway.\nvar observers = typeof WeakMap !== 'undefined' ? new WeakMap() : new MapShim();\n/**\r\n * ResizeObserver API. Encapsulates the ResizeObserver SPI implementation\r\n * exposing only those methods and properties that are defined in the spec.\r\n */\nvar ResizeObserver = /** @class */function () {\n  /**\r\n   * Creates a new instance of ResizeObserver.\r\n   *\r\n   * @param {ResizeObserverCallback} callback - Callback that is invoked when\r\n   *      dimensions of the observed elements change.\r\n   */\n  function ResizeObserver(callback) {\n    if (!(this instanceof ResizeObserver)) {\n      throw new TypeError('Cannot call a class as a function.');\n    }\n    if (!arguments.length) {\n      throw new TypeError('1 argument required, but only 0 present.');\n    }\n    var controller = ResizeObserverController.getInstance();\n    var observer = new ResizeObserverSPI(callback, controller, this);\n    observers.set(this, observer);\n  }\n  return ResizeObserver;\n}();\n// Expose public methods of ResizeObserver.\n['observe', 'unobserve', 'disconnect'].forEach(function (method) {\n  ResizeObserver.prototype[method] = function () {\n    var _a;\n    return (_a = observers.get(this))[method].apply(_a, arguments);\n  };\n});\nvar index = function () {\n  // Export existing implementation if available.\n  if (typeof global$1.ResizeObserver !== 'undefined') {\n    return global$1.ResizeObserver;\n  }\n  return ResizeObserver;\n}();\n/* harmony default export */ __webpack_exports__[\"default\"] = (index);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/resize-observer-polyfill/dist/ResizeObserver.es.js?");
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-/***/ }),
-
-/***/ "./node_modules/throttle-debounce/debounce.js":
-/*!****************************************************!*\
-  !*** ./node_modules/throttle-debounce/debounce.js ***!
-  \****************************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-eval("/* eslint-disable no-undefined */\n\nvar throttle = __webpack_require__(/*! ./throttle */ \"./node_modules/throttle-debounce/throttle.js\");\n\n/**\n * Debounce execution of a function. Debouncing, unlike throttling,\n * guarantees that a function is only executed a single time, either at the\n * very beginning of a series of calls, or at the very end.\n *\n * @param  {Number}   delay         A zero-or-greater delay in milliseconds. For event callbacks, values around 100 or 250 (or even higher) are most useful.\n * @param  {Boolean}  [atBegin]     Optional, defaults to false. If atBegin is false or unspecified, callback will only be executed `delay` milliseconds\n *                                  after the last debounced-function call. If atBegin is true, callback will be executed only at the first debounced-function call.\n *                                  (After the throttled-function has not been called for `delay` milliseconds, the internal counter is reset).\n * @param  {Function} callback      A function to be executed after delay milliseconds. The `this` context and all arguments are passed through, as-is,\n *                                  to `callback` when the debounced-function is executed.\n *\n * @return {Function} A new, debounced function.\n */\nmodule.exports = function (delay, atBegin, callback) {\n  return callback === undefined ? throttle(delay, atBegin, false) : throttle(delay, callback, atBegin !== false);\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/throttle-debounce/debounce.js?");
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-/***/ }),
-
-/***/ "./node_modules/throttle-debounce/index.js":
-/*!*************************************************!*\
-  !*** ./node_modules/throttle-debounce/index.js ***!
-  \*************************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
-
-eval("var throttle = __webpack_require__(/*! ./throttle */ \"./node_modules/throttle-debounce/throttle.js\");\nvar debounce = __webpack_require__(/*! ./debounce */ \"./node_modules/throttle-debounce/debounce.js\");\nmodule.exports = {\n  throttle: throttle,\n  debounce: debounce\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/throttle-debounce/index.js?");
-
-/***/ }),
-
-/***/ "./node_modules/throttle-debounce/throttle.js":
-/*!****************************************************!*\
-  !*** ./node_modules/throttle-debounce/throttle.js ***!
-  \****************************************************/
-/***/ (function(module) {
-
-eval("/* eslint-disable no-undefined,no-param-reassign,no-shadow */\n\n/**\n * Throttle execution of a function. Especially useful for rate limiting\n * execution of handlers on events like resize and scroll.\n *\n * @param  {Number}    delay          A zero-or-greater delay in milliseconds. For event callbacks, values around 100 or 250 (or even higher) are most useful.\n * @param  {Boolean}   [noTrailing]   Optional, defaults to false. If noTrailing is true, callback will only execute every `delay` milliseconds while the\n *                                    throttled-function is being called. If noTrailing is false or unspecified, callback will be executed one final time\n *                                    after the last throttled-function call. (After the throttled-function has not been called for `delay` milliseconds,\n *                                    the internal counter is reset)\n * @param  {Function}  callback       A function to be executed after delay milliseconds. The `this` context and all arguments are passed through, as-is,\n *                                    to `callback` when the throttled-function is executed.\n * @param  {Boolean}   [debounceMode] If `debounceMode` is true (at begin), schedule `clear` to execute after `delay` ms. If `debounceMode` is false (at end),\n *                                    schedule `callback` to execute after `delay` ms.\n *\n * @return {Function}  A new, throttled, function.\n */\nmodule.exports = function (delay, noTrailing, callback, debounceMode) {\n  // After wrapper has stopped being called, this timeout ensures that\n  // `callback` is executed at the proper times in `throttle` and `end`\n  // debounce modes.\n  var timeoutID;\n\n  // Keep track of the last time `callback` was executed.\n  var lastExec = 0;\n\n  // `noTrailing` defaults to falsy.\n  if (typeof noTrailing !== 'boolean') {\n    debounceMode = callback;\n    callback = noTrailing;\n    noTrailing = undefined;\n  }\n\n  // The `wrapper` function encapsulates all of the throttling / debouncing\n  // functionality and when executed will limit the rate at which `callback`\n  // is executed.\n  function wrapper() {\n    var self = this;\n    var elapsed = Number(new Date()) - lastExec;\n    var args = arguments;\n\n    // Execute `callback` and update the `lastExec` timestamp.\n    function exec() {\n      lastExec = Number(new Date());\n      callback.apply(self, args);\n    }\n\n    // If `debounceMode` is true (at begin) this is used to clear the flag\n    // to allow future `callback` executions.\n    function clear() {\n      timeoutID = undefined;\n    }\n    if (debounceMode && !timeoutID) {\n      // Since `wrapper` is being called for the first time and\n      // `debounceMode` is true (at begin), execute `callback`.\n      exec();\n    }\n\n    // Clear any existing timeout.\n    if (timeoutID) {\n      clearTimeout(timeoutID);\n    }\n    if (debounceMode === undefined && elapsed > delay) {\n      // In throttle mode, if `delay` time has been exceeded, execute\n      // `callback`.\n      exec();\n    } else if (noTrailing !== true) {\n      // In trailing throttle mode, since `delay` time has not been\n      // exceeded, schedule `callback` to execute `delay` ms after most\n      // recent execution.\n      //\n      // If `debounceMode` is true (at begin), schedule `clear` to execute\n      // after `delay` ms.\n      //\n      // If `debounceMode` is false (at end), schedule `callback` to\n      // execute after `delay` ms.\n      timeoutID = setTimeout(debounceMode ? clear : exec, debounceMode === undefined ? delay - elapsed : delay);\n    }\n  }\n\n  // Return the wrapper function.\n  return wrapper;\n};\n\n//# sourceURL=webpack://JCM-AI/./node_modules/throttle-debounce/throttle.js?");
-
-/***/ }),
-
-/***/ "./node_modules/vue-i18n/dist/vue-i18n.esm.js":
-/*!****************************************************!*\
-  !*** ./node_modules/vue-i18n/dist/vue-i18n.esm.js ***!
-  \****************************************************/
-/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {
-
-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__);\n/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\n\n/*!\n * vue-i18n v8.28.2 \n * (c) 2022 kazuya kawaguchi\n * Released under the MIT License.\n */\n/*  */\n\n/**\n * constants\n */\n\nvar numberFormatKeys = ['compactDisplay', 'currency', 'currencyDisplay', 'currencySign', 'localeMatcher', 'notation', 'numberingSystem', 'signDisplay', 'style', 'unit', 'unitDisplay', 'useGrouping', 'minimumIntegerDigits', 'minimumFractionDigits', 'maximumFractionDigits', 'minimumSignificantDigits', 'maximumSignificantDigits'];\nvar dateTimeFormatKeys = ['dateStyle', 'timeStyle', 'calendar', 'localeMatcher', \"hour12\", \"hourCycle\", \"timeZone\", \"formatMatcher\", 'weekday', 'era', 'year', 'month', 'day', 'hour', 'minute', 'second', 'timeZoneName'];\n\n/**\n * utilities\n */\n\nfunction warn(msg, err) {\n  if (typeof console !== 'undefined') {\n    console.warn('[vue-i18n] ' + msg);\n    /* istanbul ignore if */\n    if (err) {\n      console.warn(err.stack);\n    }\n  }\n}\nfunction error(msg, err) {\n  if (typeof console !== 'undefined') {\n    console.error('[vue-i18n] ' + msg);\n    /* istanbul ignore if */\n    if (err) {\n      console.error(err.stack);\n    }\n  }\n}\nvar isArray = Array.isArray;\nfunction isObject(obj) {\n  return obj !== null && typeof obj === 'object';\n}\nfunction isBoolean(val) {\n  return typeof val === 'boolean';\n}\nfunction isString(val) {\n  return typeof val === 'string';\n}\nvar toString = Object.prototype.toString;\nvar OBJECT_STRING = '[object Object]';\nfunction isPlainObject(obj) {\n  return toString.call(obj) === OBJECT_STRING;\n}\nfunction isNull(val) {\n  return val === null || val === undefined;\n}\nfunction isFunction(val) {\n  return typeof val === 'function';\n}\nfunction parseArgs() {\n  var args = [],\n    len = arguments.length;\n  while (len--) args[len] = arguments[len];\n  var locale = null;\n  var params = null;\n  if (args.length === 1) {\n    if (isObject(args[0]) || isArray(args[0])) {\n      params = args[0];\n    } else if (typeof args[0] === 'string') {\n      locale = args[0];\n    }\n  } else if (args.length === 2) {\n    if (typeof args[0] === 'string') {\n      locale = args[0];\n    }\n    /* istanbul ignore if */\n    if (isObject(args[1]) || isArray(args[1])) {\n      params = args[1];\n    }\n  }\n  return {\n    locale: locale,\n    params: params\n  };\n}\nfunction looseClone(obj) {\n  return JSON.parse(JSON.stringify(obj));\n}\nfunction remove(arr, item) {\n  if (arr.delete(item)) {\n    return arr;\n  }\n}\nfunction arrayFrom(arr) {\n  var ret = [];\n  arr.forEach(function (a) {\n    return ret.push(a);\n  });\n  return ret;\n}\nfunction includes(arr, item) {\n  return !!~arr.indexOf(item);\n}\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\nfunction hasOwn(obj, key) {\n  return hasOwnProperty.call(obj, key);\n}\nfunction merge(target) {\n  var arguments$1 = arguments;\n  var output = Object(target);\n  for (var i = 1; i < arguments.length; i++) {\n    var source = arguments$1[i];\n    if (source !== undefined && source !== null) {\n      var key = void 0;\n      for (key in source) {\n        if (hasOwn(source, key)) {\n          if (isObject(source[key])) {\n            output[key] = merge(output[key], source[key]);\n          } else {\n            output[key] = source[key];\n          }\n        }\n      }\n    }\n  }\n  return output;\n}\nfunction looseEqual(a, b) {\n  if (a === b) {\n    return true;\n  }\n  var isObjectA = isObject(a);\n  var isObjectB = isObject(b);\n  if (isObjectA && isObjectB) {\n    try {\n      var isArrayA = isArray(a);\n      var isArrayB = isArray(b);\n      if (isArrayA && isArrayB) {\n        return a.length === b.length && a.every(function (e, i) {\n          return looseEqual(e, b[i]);\n        });\n      } else if (!isArrayA && !isArrayB) {\n        var keysA = Object.keys(a);\n        var keysB = Object.keys(b);\n        return keysA.length === keysB.length && keysA.every(function (key) {\n          return looseEqual(a[key], b[key]);\n        });\n      } else {\n        /* istanbul ignore next */\n        return false;\n      }\n    } catch (e) {\n      /* istanbul ignore next */\n      return false;\n    }\n  } else if (!isObjectA && !isObjectB) {\n    return String(a) === String(b);\n  } else {\n    return false;\n  }\n}\n\n/**\n * Sanitizes html special characters from input strings. For mitigating risk of XSS attacks.\n * @param rawText The raw input from the user that should be escaped.\n */\nfunction escapeHtml(rawText) {\n  return rawText.replace(/</g, '&lt;').replace(/>/g, '&gt;').replace(/\"/g, '&quot;').replace(/'/g, '&apos;');\n}\n\n/**\n * Escapes html tags and special symbols from all provided params which were returned from parseArgs().params.\n * This method performs an in-place operation on the params object.\n *\n * @param {any} params Parameters as provided from `parseArgs().params`.\n *                     May be either an array of strings or a string->any map.\n *\n * @returns The manipulated `params` object.\n */\nfunction escapeParams(params) {\n  if (params != null) {\n    Object.keys(params).forEach(function (key) {\n      if (typeof params[key] == 'string') {\n        params[key] = escapeHtml(params[key]);\n      }\n    });\n  }\n  return params;\n}\n\n/*  */\n\nfunction extend(Vue) {\n  if (!Vue.prototype.hasOwnProperty('$i18n')) {\n    // $FlowFixMe\n    Object.defineProperty(Vue.prototype, '$i18n', {\n      get: function get() {\n        return this._i18n;\n      }\n    });\n  }\n  Vue.prototype.$t = function (key) {\n    var values = [],\n      len = arguments.length - 1;\n    while (len-- > 0) values[len] = arguments[len + 1];\n    var i18n = this.$i18n;\n    return i18n._t.apply(i18n, [key, i18n.locale, i18n._getMessages(), this].concat(values));\n  };\n  Vue.prototype.$tc = function (key, choice) {\n    var values = [],\n      len = arguments.length - 2;\n    while (len-- > 0) values[len] = arguments[len + 2];\n    var i18n = this.$i18n;\n    return i18n._tc.apply(i18n, [key, i18n.locale, i18n._getMessages(), this, choice].concat(values));\n  };\n  Vue.prototype.$te = function (key, locale) {\n    var i18n = this.$i18n;\n    return i18n._te(key, i18n.locale, i18n._getMessages(), locale);\n  };\n  Vue.prototype.$d = function (value) {\n    var ref;\n    var args = [],\n      len = arguments.length - 1;\n    while (len-- > 0) args[len] = arguments[len + 1];\n    return (ref = this.$i18n).d.apply(ref, [value].concat(args));\n  };\n  Vue.prototype.$n = function (value) {\n    var ref;\n    var args = [],\n      len = arguments.length - 1;\n    while (len-- > 0) args[len] = arguments[len + 1];\n    return (ref = this.$i18n).n.apply(ref, [value].concat(args));\n  };\n}\n\n/*  */\n\n/**\n * Mixin\n * \n * If `bridge` mode, empty mixin is returned,\n * else regulary mixin implementation is returned.\n */\nfunction defineMixin(bridge) {\n  if (bridge === void 0) bridge = false;\n  function mounted() {\n    if (this !== this.$root && this.$options.__INTLIFY_META__ && this.$el) {\n      this.$el.setAttribute('data-intlify', this.$options.__INTLIFY_META__);\n    }\n  }\n  return bridge ? {\n    mounted: mounted\n  } // delegate `vue-i18n-bridge` mixin implementation\n  : {\n    // regulary \n    beforeCreate: function beforeCreate() {\n      var options = this.$options;\n      options.i18n = options.i18n || (options.__i18nBridge || options.__i18n ? {} : null);\n      if (options.i18n) {\n        if (options.i18n instanceof VueI18n) {\n          // init locale messages via custom blocks\n          if (options.__i18nBridge || options.__i18n) {\n            try {\n              var localeMessages = options.i18n && options.i18n.messages ? options.i18n.messages : {};\n              var _i18n = options.__i18nBridge || options.__i18n;\n              _i18n.forEach(function (resource) {\n                localeMessages = merge(localeMessages, JSON.parse(resource));\n              });\n              Object.keys(localeMessages).forEach(function (locale) {\n                options.i18n.mergeLocaleMessage(locale, localeMessages[locale]);\n              });\n            } catch (e) {\n              if (true) {\n                error(\"Cannot parse locale messages via custom blocks.\", e);\n              }\n            }\n          }\n          this._i18n = options.i18n;\n          this._i18nWatcher = this._i18n.watchI18nData();\n        } else if (isPlainObject(options.i18n)) {\n          var rootI18n = this.$root && this.$root.$i18n && this.$root.$i18n instanceof VueI18n ? this.$root.$i18n : null;\n          // component local i18n\n          if (rootI18n) {\n            options.i18n.root = this.$root;\n            options.i18n.formatter = rootI18n.formatter;\n            options.i18n.fallbackLocale = rootI18n.fallbackLocale;\n            options.i18n.formatFallbackMessages = rootI18n.formatFallbackMessages;\n            options.i18n.silentTranslationWarn = rootI18n.silentTranslationWarn;\n            options.i18n.silentFallbackWarn = rootI18n.silentFallbackWarn;\n            options.i18n.pluralizationRules = rootI18n.pluralizationRules;\n            options.i18n.preserveDirectiveContent = rootI18n.preserveDirectiveContent;\n          }\n\n          // init locale messages via custom blocks\n          if (options.__i18nBridge || options.__i18n) {\n            try {\n              var localeMessages$1 = options.i18n && options.i18n.messages ? options.i18n.messages : {};\n              var _i18n$1 = options.__i18nBridge || options.__i18n;\n              _i18n$1.forEach(function (resource) {\n                localeMessages$1 = merge(localeMessages$1, JSON.parse(resource));\n              });\n              options.i18n.messages = localeMessages$1;\n            } catch (e) {\n              if (true) {\n                warn(\"Cannot parse locale messages via custom blocks.\", e);\n              }\n            }\n          }\n          var ref = options.i18n;\n          var sharedMessages = ref.sharedMessages;\n          if (sharedMessages && isPlainObject(sharedMessages)) {\n            options.i18n.messages = merge(options.i18n.messages, sharedMessages);\n          }\n          this._i18n = new VueI18n(options.i18n);\n          this._i18nWatcher = this._i18n.watchI18nData();\n          if (options.i18n.sync === undefined || !!options.i18n.sync) {\n            this._localeWatcher = this.$i18n.watchLocale();\n          }\n          if (rootI18n) {\n            rootI18n.onComponentInstanceCreated(this._i18n);\n          }\n        } else {\n          if (true) {\n            warn(\"Cannot be interpreted 'i18n' option.\");\n          }\n        }\n      } else if (this.$root && this.$root.$i18n && this.$root.$i18n instanceof VueI18n) {\n        // root i18n\n        this._i18n = this.$root.$i18n;\n      } else if (options.parent && options.parent.$i18n && options.parent.$i18n instanceof VueI18n) {\n        // parent i18n\n        this._i18n = options.parent.$i18n;\n      }\n    },\n    beforeMount: function beforeMount() {\n      var options = this.$options;\n      options.i18n = options.i18n || (options.__i18nBridge || options.__i18n ? {} : null);\n      if (options.i18n) {\n        if (options.i18n instanceof VueI18n) {\n          // init locale messages via custom blocks\n          this._i18n.subscribeDataChanging(this);\n          this._subscribing = true;\n        } else if (isPlainObject(options.i18n)) {\n          this._i18n.subscribeDataChanging(this);\n          this._subscribing = true;\n        } else {\n          if (true) {\n            warn(\"Cannot be interpreted 'i18n' option.\");\n          }\n        }\n      } else if (this.$root && this.$root.$i18n && this.$root.$i18n instanceof VueI18n) {\n        this._i18n.subscribeDataChanging(this);\n        this._subscribing = true;\n      } else if (options.parent && options.parent.$i18n && options.parent.$i18n instanceof VueI18n) {\n        this._i18n.subscribeDataChanging(this);\n        this._subscribing = true;\n      }\n    },\n    mounted: mounted,\n    beforeDestroy: function beforeDestroy() {\n      if (!this._i18n) {\n        return;\n      }\n      var self = this;\n      this.$nextTick(function () {\n        if (self._subscribing) {\n          self._i18n.unsubscribeDataChanging(self);\n          delete self._subscribing;\n        }\n        if (self._i18nWatcher) {\n          self._i18nWatcher();\n          self._i18n.destroyVM();\n          delete self._i18nWatcher;\n        }\n        if (self._localeWatcher) {\n          self._localeWatcher();\n          delete self._localeWatcher;\n        }\n      });\n    }\n  };\n}\n\n/*  */\n\nvar interpolationComponent = {\n  name: 'i18n',\n  functional: true,\n  props: {\n    tag: {\n      type: [String, Boolean, Object],\n      default: 'span'\n    },\n    path: {\n      type: String,\n      required: true\n    },\n    locale: {\n      type: String\n    },\n    places: {\n      type: [Array, Object]\n    }\n  },\n  render: function render(h, ref) {\n    var data = ref.data;\n    var parent = ref.parent;\n    var props = ref.props;\n    var slots = ref.slots;\n    var $i18n = parent.$i18n;\n    if (!$i18n) {\n      if (true) {\n        warn('Cannot find VueI18n instance!');\n      }\n      return;\n    }\n    var path = props.path;\n    var locale = props.locale;\n    var places = props.places;\n    var params = slots();\n    var children = $i18n.i(path, locale, onlyHasDefaultPlace(params) || places ? useLegacyPlaces(params.default, places) : params);\n    var tag = !!props.tag && props.tag !== true || props.tag === false ? props.tag : 'span';\n    return tag ? h(tag, data, children) : children;\n  }\n};\nfunction onlyHasDefaultPlace(params) {\n  var prop;\n  for (prop in params) {\n    if (prop !== 'default') {\n      return false;\n    }\n  }\n  return Boolean(prop);\n}\nfunction useLegacyPlaces(children, places) {\n  var params = places ? createParamsFromPlaces(places) : {};\n  if (!children) {\n    return params;\n  }\n\n  // Filter empty text nodes\n  children = children.filter(function (child) {\n    return child.tag || child.text.trim() !== '';\n  });\n  var everyPlace = children.every(vnodeHasPlaceAttribute);\n  if ( true && everyPlace) {\n    warn('`place` attribute is deprecated in next major version. Please switch to Vue slots.');\n  }\n  return children.reduce(everyPlace ? assignChildPlace : assignChildIndex, params);\n}\nfunction createParamsFromPlaces(places) {\n  if (true) {\n    warn('`places` prop is deprecated in next major version. Please switch to Vue slots.');\n  }\n  return Array.isArray(places) ? places.reduce(assignChildIndex, {}) : Object.assign({}, places);\n}\nfunction assignChildPlace(params, child) {\n  if (child.data && child.data.attrs && child.data.attrs.place) {\n    params[child.data.attrs.place] = child;\n  }\n  return params;\n}\nfunction assignChildIndex(params, child, index) {\n  params[index] = child;\n  return params;\n}\nfunction vnodeHasPlaceAttribute(vnode) {\n  return Boolean(vnode.data && vnode.data.attrs && vnode.data.attrs.place);\n}\n\n/*  */\n\nvar numberComponent = {\n  name: 'i18n-n',\n  functional: true,\n  props: {\n    tag: {\n      type: [String, Boolean, Object],\n      default: 'span'\n    },\n    value: {\n      type: Number,\n      required: true\n    },\n    format: {\n      type: [String, Object]\n    },\n    locale: {\n      type: String\n    }\n  },\n  render: function render(h, ref) {\n    var props = ref.props;\n    var parent = ref.parent;\n    var data = ref.data;\n    var i18n = parent.$i18n;\n    if (!i18n) {\n      if (true) {\n        warn('Cannot find VueI18n instance!');\n      }\n      return null;\n    }\n    var key = null;\n    var options = null;\n    if (isString(props.format)) {\n      key = props.format;\n    } else if (isObject(props.format)) {\n      if (props.format.key) {\n        key = props.format.key;\n      }\n\n      // Filter out number format options only\n      options = Object.keys(props.format).reduce(function (acc, prop) {\n        var obj;\n        if (includes(numberFormatKeys, prop)) {\n          return Object.assign({}, acc, (obj = {}, obj[prop] = props.format[prop], obj));\n        }\n        return acc;\n      }, null);\n    }\n    var locale = props.locale || i18n.locale;\n    var parts = i18n._ntp(props.value, locale, key, options);\n    var values = parts.map(function (part, index) {\n      var obj;\n      var slot = data.scopedSlots && data.scopedSlots[part.type];\n      return slot ? slot((obj = {}, obj[part.type] = part.value, obj.index = index, obj.parts = parts, obj)) : part.value;\n    });\n    var tag = !!props.tag && props.tag !== true || props.tag === false ? props.tag : 'span';\n    return tag ? h(tag, {\n      attrs: data.attrs,\n      'class': data['class'],\n      staticClass: data.staticClass\n    }, values) : values;\n  }\n};\n\n/*  */\n\nfunction bind(el, binding, vnode) {\n  if (!assert(el, vnode)) {\n    return;\n  }\n  t(el, binding, vnode);\n}\nfunction update(el, binding, vnode, oldVNode) {\n  if (!assert(el, vnode)) {\n    return;\n  }\n  var i18n = vnode.context.$i18n;\n  if (localeEqual(el, vnode) && looseEqual(binding.value, binding.oldValue) && looseEqual(el._localeMessage, i18n.getLocaleMessage(i18n.locale))) {\n    return;\n  }\n  t(el, binding, vnode);\n}\nfunction unbind(el, binding, vnode, oldVNode) {\n  var vm = vnode.context;\n  if (!vm) {\n    warn('Vue instance does not exists in VNode context');\n    return;\n  }\n  var i18n = vnode.context.$i18n || {};\n  if (!binding.modifiers.preserve && !i18n.preserveDirectiveContent) {\n    el.textContent = '';\n  }\n  el._vt = undefined;\n  delete el['_vt'];\n  el._locale = undefined;\n  delete el['_locale'];\n  el._localeMessage = undefined;\n  delete el['_localeMessage'];\n}\nfunction assert(el, vnode) {\n  var vm = vnode.context;\n  if (!vm) {\n    warn('Vue instance does not exists in VNode context');\n    return false;\n  }\n  if (!vm.$i18n) {\n    warn('VueI18n instance does not exists in Vue instance');\n    return false;\n  }\n  return true;\n}\nfunction localeEqual(el, vnode) {\n  var vm = vnode.context;\n  return el._locale === vm.$i18n.locale;\n}\nfunction t(el, binding, vnode) {\n  var ref$1, ref$2;\n  var value = binding.value;\n  var ref = parseValue(value);\n  var path = ref.path;\n  var locale = ref.locale;\n  var args = ref.args;\n  var choice = ref.choice;\n  if (!path && !locale && !args) {\n    warn('value type not supported');\n    return;\n  }\n  if (!path) {\n    warn('`path` is required in v-t directive');\n    return;\n  }\n  var vm = vnode.context;\n  if (choice != null) {\n    el._vt = el.textContent = (ref$1 = vm.$i18n).tc.apply(ref$1, [path, choice].concat(makeParams(locale, args)));\n  } else {\n    el._vt = el.textContent = (ref$2 = vm.$i18n).t.apply(ref$2, [path].concat(makeParams(locale, args)));\n  }\n  el._locale = vm.$i18n.locale;\n  el._localeMessage = vm.$i18n.getLocaleMessage(vm.$i18n.locale);\n}\nfunction parseValue(value) {\n  var path;\n  var locale;\n  var args;\n  var choice;\n  if (isString(value)) {\n    path = value;\n  } else if (isPlainObject(value)) {\n    path = value.path;\n    locale = value.locale;\n    args = value.args;\n    choice = value.choice;\n  }\n  return {\n    path: path,\n    locale: locale,\n    args: args,\n    choice: choice\n  };\n}\nfunction makeParams(locale, args) {\n  var params = [];\n  locale && params.push(locale);\n  if (args && (Array.isArray(args) || isPlainObject(args))) {\n    params.push(args);\n  }\n  return params;\n}\nvar Vue;\nfunction install(_Vue, options) {\n  if (options === void 0) options = {\n    bridge: false\n  };\n\n  /* istanbul ignore if */\n  if ( true && install.installed && _Vue === Vue) {\n    warn('already installed.');\n    return;\n  }\n  install.installed = true;\n  Vue = _Vue;\n  var version = Vue.version && Number(Vue.version.split('.')[0]) || -1;\n  /* istanbul ignore if */\n  if ( true && version < 2) {\n    warn(\"vue-i18n (\" + install.version + \") need to use Vue 2.0 or later (Vue: \" + Vue.version + \").\");\n    return;\n  }\n  extend(Vue);\n  Vue.mixin(defineMixin(options.bridge));\n  Vue.directive('t', {\n    bind: bind,\n    update: update,\n    unbind: unbind\n  });\n  Vue.component(interpolationComponent.name, interpolationComponent);\n  Vue.component(numberComponent.name, numberComponent);\n\n  // use simple mergeStrategies to prevent i18n instance lose '__proto__'\n  var strats = Vue.config.optionMergeStrategies;\n  strats.i18n = function (parentVal, childVal) {\n    return childVal === undefined ? parentVal : childVal;\n  };\n}\n\n/*  */\n\nvar BaseFormatter = function BaseFormatter() {\n  this._caches = Object.create(null);\n};\nBaseFormatter.prototype.interpolate = function interpolate(message, values) {\n  if (!values) {\n    return [message];\n  }\n  var tokens = this._caches[message];\n  if (!tokens) {\n    tokens = parse(message);\n    this._caches[message] = tokens;\n  }\n  return compile(tokens, values);\n};\nvar RE_TOKEN_LIST_VALUE = /^(?:\\d)+/;\nvar RE_TOKEN_NAMED_VALUE = /^(?:\\w)+/;\nfunction parse(format) {\n  var tokens = [];\n  var position = 0;\n  var text = '';\n  while (position < format.length) {\n    var char = format[position++];\n    if (char === '{') {\n      if (text) {\n        tokens.push({\n          type: 'text',\n          value: text\n        });\n      }\n      text = '';\n      var sub = '';\n      char = format[position++];\n      while (char !== undefined && char !== '}') {\n        sub += char;\n        char = format[position++];\n      }\n      var isClosed = char === '}';\n      var type = RE_TOKEN_LIST_VALUE.test(sub) ? 'list' : isClosed && RE_TOKEN_NAMED_VALUE.test(sub) ? 'named' : 'unknown';\n      tokens.push({\n        value: sub,\n        type: type\n      });\n    } else if (char === '%') {\n      // when found rails i18n syntax, skip text capture\n      if (format[position] !== '{') {\n        text += char;\n      }\n    } else {\n      text += char;\n    }\n  }\n  text && tokens.push({\n    type: 'text',\n    value: text\n  });\n  return tokens;\n}\nfunction compile(tokens, values) {\n  var compiled = [];\n  var index = 0;\n  var mode = Array.isArray(values) ? 'list' : isObject(values) ? 'named' : 'unknown';\n  if (mode === 'unknown') {\n    return compiled;\n  }\n  while (index < tokens.length) {\n    var token = tokens[index];\n    switch (token.type) {\n      case 'text':\n        compiled.push(token.value);\n        break;\n      case 'list':\n        compiled.push(values[parseInt(token.value, 10)]);\n        break;\n      case 'named':\n        if (mode === 'named') {\n          compiled.push(values[token.value]);\n        } else {\n          if (true) {\n            warn(\"Type of token '\" + token.type + \"' and format of value '\" + mode + \"' don't match!\");\n          }\n        }\n        break;\n      case 'unknown':\n        if (true) {\n          warn(\"Detect 'unknown' type of token!\");\n        }\n        break;\n    }\n    index++;\n  }\n  return compiled;\n}\n\n/*  */\n\n/**\n *  Path parser\n *  - Inspired:\n *    Vue.js Path parser\n */\n\n// actions\nvar APPEND = 0;\nvar PUSH = 1;\nvar INC_SUB_PATH_DEPTH = 2;\nvar PUSH_SUB_PATH = 3;\n\n// states\nvar BEFORE_PATH = 0;\nvar IN_PATH = 1;\nvar BEFORE_IDENT = 2;\nvar IN_IDENT = 3;\nvar IN_SUB_PATH = 4;\nvar IN_SINGLE_QUOTE = 5;\nvar IN_DOUBLE_QUOTE = 6;\nvar AFTER_PATH = 7;\nvar ERROR = 8;\nvar pathStateMachine = [];\npathStateMachine[BEFORE_PATH] = {\n  'ws': [BEFORE_PATH],\n  'ident': [IN_IDENT, APPEND],\n  '[': [IN_SUB_PATH],\n  'eof': [AFTER_PATH]\n};\npathStateMachine[IN_PATH] = {\n  'ws': [IN_PATH],\n  '.': [BEFORE_IDENT],\n  '[': [IN_SUB_PATH],\n  'eof': [AFTER_PATH]\n};\npathStateMachine[BEFORE_IDENT] = {\n  'ws': [BEFORE_IDENT],\n  'ident': [IN_IDENT, APPEND],\n  '0': [IN_IDENT, APPEND],\n  'number': [IN_IDENT, APPEND]\n};\npathStateMachine[IN_IDENT] = {\n  'ident': [IN_IDENT, APPEND],\n  '0': [IN_IDENT, APPEND],\n  'number': [IN_IDENT, APPEND],\n  'ws': [IN_PATH, PUSH],\n  '.': [BEFORE_IDENT, PUSH],\n  '[': [IN_SUB_PATH, PUSH],\n  'eof': [AFTER_PATH, PUSH]\n};\npathStateMachine[IN_SUB_PATH] = {\n  \"'\": [IN_SINGLE_QUOTE, APPEND],\n  '\"': [IN_DOUBLE_QUOTE, APPEND],\n  '[': [IN_SUB_PATH, INC_SUB_PATH_DEPTH],\n  ']': [IN_PATH, PUSH_SUB_PATH],\n  'eof': ERROR,\n  'else': [IN_SUB_PATH, APPEND]\n};\npathStateMachine[IN_SINGLE_QUOTE] = {\n  \"'\": [IN_SUB_PATH, APPEND],\n  'eof': ERROR,\n  'else': [IN_SINGLE_QUOTE, APPEND]\n};\npathStateMachine[IN_DOUBLE_QUOTE] = {\n  '\"': [IN_SUB_PATH, APPEND],\n  'eof': ERROR,\n  'else': [IN_DOUBLE_QUOTE, APPEND]\n};\n\n/**\n * Check if an expression is a literal value.\n */\n\nvar literalValueRE = /^\\s?(?:true|false|-?[\\d.]+|'[^']*'|\"[^\"]*\")\\s?$/;\nfunction isLiteral(exp) {\n  return literalValueRE.test(exp);\n}\n\n/**\n * Strip quotes from a string\n */\n\nfunction stripQuotes(str) {\n  var a = str.charCodeAt(0);\n  var b = str.charCodeAt(str.length - 1);\n  return a === b && (a === 0x22 || a === 0x27) ? str.slice(1, -1) : str;\n}\n\n/**\n * Determine the type of a character in a keypath.\n */\n\nfunction getPathCharType(ch) {\n  if (ch === undefined || ch === null) {\n    return 'eof';\n  }\n  var code = ch.charCodeAt(0);\n  switch (code) {\n    case 0x5B: // [\n    case 0x5D: // ]\n    case 0x2E: // .\n    case 0x22: // \"\n    case 0x27:\n      // '\n      return ch;\n    case 0x5F: // _\n    case 0x24: // $\n    case 0x2D:\n      // -\n      return 'ident';\n    case 0x09: // Tab\n    case 0x0A: // Newline\n    case 0x0D: // Return\n    case 0xA0: // No-break space\n    case 0xFEFF: // Byte Order Mark\n    case 0x2028: // Line Separator\n    case 0x2029:\n      // Paragraph Separator\n      return 'ws';\n  }\n  return 'ident';\n}\n\n/**\n * Format a subPath, return its plain form if it is\n * a literal string or number. Otherwise prepend the\n * dynamic indicator (*).\n */\n\nfunction formatSubPath(path) {\n  var trimmed = path.trim();\n  // invalid leading 0\n  if (path.charAt(0) === '0' && isNaN(path)) {\n    return false;\n  }\n  return isLiteral(trimmed) ? stripQuotes(trimmed) : '*' + trimmed;\n}\n\n/**\n * Parse a string path into an array of segments\n */\n\nfunction parse$1(path) {\n  var keys = [];\n  var index = -1;\n  var mode = BEFORE_PATH;\n  var subPathDepth = 0;\n  var c;\n  var key;\n  var newChar;\n  var type;\n  var transition;\n  var action;\n  var typeMap;\n  var actions = [];\n  actions[PUSH] = function () {\n    if (key !== undefined) {\n      keys.push(key);\n      key = undefined;\n    }\n  };\n  actions[APPEND] = function () {\n    if (key === undefined) {\n      key = newChar;\n    } else {\n      key += newChar;\n    }\n  };\n  actions[INC_SUB_PATH_DEPTH] = function () {\n    actions[APPEND]();\n    subPathDepth++;\n  };\n  actions[PUSH_SUB_PATH] = function () {\n    if (subPathDepth > 0) {\n      subPathDepth--;\n      mode = IN_SUB_PATH;\n      actions[APPEND]();\n    } else {\n      subPathDepth = 0;\n      if (key === undefined) {\n        return false;\n      }\n      key = formatSubPath(key);\n      if (key === false) {\n        return false;\n      } else {\n        actions[PUSH]();\n      }\n    }\n  };\n  function maybeUnescapeQuote() {\n    var nextChar = path[index + 1];\n    if (mode === IN_SINGLE_QUOTE && nextChar === \"'\" || mode === IN_DOUBLE_QUOTE && nextChar === '\"') {\n      index++;\n      newChar = '\\\\' + nextChar;\n      actions[APPEND]();\n      return true;\n    }\n  }\n  while (mode !== null) {\n    index++;\n    c = path[index];\n    if (c === '\\\\' && maybeUnescapeQuote()) {\n      continue;\n    }\n    type = getPathCharType(c);\n    typeMap = pathStateMachine[mode];\n    transition = typeMap[type] || typeMap['else'] || ERROR;\n    if (transition === ERROR) {\n      return; // parse error\n    }\n\n    mode = transition[0];\n    action = actions[transition[1]];\n    if (action) {\n      newChar = transition[2];\n      newChar = newChar === undefined ? c : newChar;\n      if (action() === false) {\n        return;\n      }\n    }\n    if (mode === AFTER_PATH) {\n      return keys;\n    }\n  }\n}\nvar I18nPath = function I18nPath() {\n  this._cache = Object.create(null);\n};\n\n/**\n * External parse that check for a cache hit first\n */\nI18nPath.prototype.parsePath = function parsePath(path) {\n  var hit = this._cache[path];\n  if (!hit) {\n    hit = parse$1(path);\n    if (hit) {\n      this._cache[path] = hit;\n    }\n  }\n  return hit || [];\n};\n\n/**\n * Get path value from path string\n */\nI18nPath.prototype.getPathValue = function getPathValue(obj, path) {\n  if (!isObject(obj)) {\n    return null;\n  }\n  var paths = this.parsePath(path);\n  if (paths.length === 0) {\n    return null;\n  } else {\n    var length = paths.length;\n    var last = obj;\n    var i = 0;\n    while (i < length) {\n      var value = last[paths[i]];\n      if (value === undefined || value === null) {\n        return null;\n      }\n      last = value;\n      i++;\n    }\n    return last;\n  }\n};\n\n/*  */\n\nvar htmlTagMatcher = /<\\/?[\\w\\s=\"/.':;#-\\/]+>/;\nvar linkKeyMatcher = /(?:@(?:\\.[a-zA-Z]+)?:(?:[\\w\\-_|./]+|\\([\\w\\-_:|./]+\\)))/g;\nvar linkKeyPrefixMatcher = /^@(?:\\.([a-zA-Z]+))?:/;\nvar bracketsMatcher = /[()]/g;\nvar defaultModifiers = {\n  'upper': function (str) {\n    return str.toLocaleUpperCase();\n  },\n  'lower': function (str) {\n    return str.toLocaleLowerCase();\n  },\n  'capitalize': function (str) {\n    return \"\" + str.charAt(0).toLocaleUpperCase() + str.substr(1);\n  }\n};\nvar defaultFormatter = new BaseFormatter();\nvar VueI18n = function VueI18n(options) {\n  var this$1 = this;\n  if (options === void 0) options = {};\n\n  // Auto install if it is not done yet and `window` has `Vue`.\n  // To allow users to avoid auto-installation in some cases,\n  // this code should be placed here. See #290\n  /* istanbul ignore if */\n  if (!Vue && typeof window !== 'undefined' && window.Vue) {\n    install(window.Vue);\n  }\n  var locale = options.locale || 'en-US';\n  var fallbackLocale = options.fallbackLocale === false ? false : options.fallbackLocale || 'en-US';\n  var messages = options.messages || {};\n  var dateTimeFormats = options.dateTimeFormats || options.datetimeFormats || {};\n  var numberFormats = options.numberFormats || {};\n  this._vm = null;\n  this._formatter = options.formatter || defaultFormatter;\n  this._modifiers = options.modifiers || {};\n  this._missing = options.missing || null;\n  this._root = options.root || null;\n  this._sync = options.sync === undefined ? true : !!options.sync;\n  this._fallbackRoot = options.fallbackRoot === undefined ? true : !!options.fallbackRoot;\n  this._fallbackRootWithEmptyString = options.fallbackRootWithEmptyString === undefined ? true : !!options.fallbackRootWithEmptyString;\n  this._formatFallbackMessages = options.formatFallbackMessages === undefined ? false : !!options.formatFallbackMessages;\n  this._silentTranslationWarn = options.silentTranslationWarn === undefined ? false : options.silentTranslationWarn;\n  this._silentFallbackWarn = options.silentFallbackWarn === undefined ? false : !!options.silentFallbackWarn;\n  this._dateTimeFormatters = {};\n  this._numberFormatters = {};\n  this._path = new I18nPath();\n  this._dataListeners = new Set();\n  this._componentInstanceCreatedListener = options.componentInstanceCreatedListener || null;\n  this._preserveDirectiveContent = options.preserveDirectiveContent === undefined ? false : !!options.preserveDirectiveContent;\n  this.pluralizationRules = options.pluralizationRules || {};\n  this._warnHtmlInMessage = options.warnHtmlInMessage || 'off';\n  this._postTranslation = options.postTranslation || null;\n  this._escapeParameterHtml = options.escapeParameterHtml || false;\n  if ('__VUE_I18N_BRIDGE__' in options) {\n    this.__VUE_I18N_BRIDGE__ = options.__VUE_I18N_BRIDGE__;\n  }\n\n  /**\n   * @param choice {number} a choice index given by the input to $tc: `$tc('path.to.rule', choiceIndex)`\n   * @param choicesLength {number} an overall amount of available choices\n   * @returns a final choice index\n  */\n  this.getChoiceIndex = function (choice, choicesLength) {\n    var thisPrototype = Object.getPrototypeOf(this$1);\n    if (thisPrototype && thisPrototype.getChoiceIndex) {\n      var prototypeGetChoiceIndex = thisPrototype.getChoiceIndex;\n      return prototypeGetChoiceIndex.call(this$1, choice, choicesLength);\n    }\n\n    // Default (old) getChoiceIndex implementation - english-compatible\n    var defaultImpl = function (_choice, _choicesLength) {\n      _choice = Math.abs(_choice);\n      if (_choicesLength === 2) {\n        return _choice ? _choice > 1 ? 1 : 0 : 1;\n      }\n      return _choice ? Math.min(_choice, 2) : 0;\n    };\n    if (this$1.locale in this$1.pluralizationRules) {\n      return this$1.pluralizationRules[this$1.locale].apply(this$1, [choice, choicesLength]);\n    } else {\n      return defaultImpl(choice, choicesLength);\n    }\n  };\n  this._exist = function (message, key) {\n    if (!message || !key) {\n      return false;\n    }\n    if (!isNull(this$1._path.getPathValue(message, key))) {\n      return true;\n    }\n    // fallback for flat key\n    if (message[key]) {\n      return true;\n    }\n    return false;\n  };\n  if (this._warnHtmlInMessage === 'warn' || this._warnHtmlInMessage === 'error') {\n    Object.keys(messages).forEach(function (locale) {\n      this$1._checkLocaleMessage(locale, this$1._warnHtmlInMessage, messages[locale]);\n    });\n  }\n  this._initVM({\n    locale: locale,\n    fallbackLocale: fallbackLocale,\n    messages: messages,\n    dateTimeFormats: dateTimeFormats,\n    numberFormats: numberFormats\n  });\n};\nvar prototypeAccessors = {\n  vm: {\n    configurable: true\n  },\n  messages: {\n    configurable: true\n  },\n  dateTimeFormats: {\n    configurable: true\n  },\n  numberFormats: {\n    configurable: true\n  },\n  availableLocales: {\n    configurable: true\n  },\n  locale: {\n    configurable: true\n  },\n  fallbackLocale: {\n    configurable: true\n  },\n  formatFallbackMessages: {\n    configurable: true\n  },\n  missing: {\n    configurable: true\n  },\n  formatter: {\n    configurable: true\n  },\n  silentTranslationWarn: {\n    configurable: true\n  },\n  silentFallbackWarn: {\n    configurable: true\n  },\n  preserveDirectiveContent: {\n    configurable: true\n  },\n  warnHtmlInMessage: {\n    configurable: true\n  },\n  postTranslation: {\n    configurable: true\n  },\n  sync: {\n    configurable: true\n  }\n};\nVueI18n.prototype._checkLocaleMessage = function _checkLocaleMessage(locale, level, message) {\n  var paths = [];\n  var fn = function (level, locale, message, paths) {\n    if (isPlainObject(message)) {\n      Object.keys(message).forEach(function (key) {\n        var val = message[key];\n        if (isPlainObject(val)) {\n          paths.push(key);\n          paths.push('.');\n          fn(level, locale, val, paths);\n          paths.pop();\n          paths.pop();\n        } else {\n          paths.push(key);\n          fn(level, locale, val, paths);\n          paths.pop();\n        }\n      });\n    } else if (isArray(message)) {\n      message.forEach(function (item, index) {\n        if (isPlainObject(item)) {\n          paths.push(\"[\" + index + \"]\");\n          paths.push('.');\n          fn(level, locale, item, paths);\n          paths.pop();\n          paths.pop();\n        } else {\n          paths.push(\"[\" + index + \"]\");\n          fn(level, locale, item, paths);\n          paths.pop();\n        }\n      });\n    } else if (isString(message)) {\n      var ret = htmlTagMatcher.test(message);\n      if (ret) {\n        var msg = \"Detected HTML in message '\" + message + \"' of keypath '\" + paths.join('') + \"' at '\" + locale + \"'. Consider component interpolation with '<i18n>' to avoid XSS. See https://bit.ly/2ZqJzkp\";\n        if (level === 'warn') {\n          warn(msg);\n        } else if (level === 'error') {\n          error(msg);\n        }\n      }\n    }\n  };\n  fn(level, locale, message, paths);\n};\nVueI18n.prototype._initVM = function _initVM(data) {\n  var silent = Vue.config.silent;\n  Vue.config.silent = true;\n  this._vm = new Vue({\n    data: data,\n    __VUE18N__INSTANCE__: true\n  });\n  Vue.config.silent = silent;\n};\nVueI18n.prototype.destroyVM = function destroyVM() {\n  this._vm.$destroy();\n};\nVueI18n.prototype.subscribeDataChanging = function subscribeDataChanging(vm) {\n  this._dataListeners.add(vm);\n};\nVueI18n.prototype.unsubscribeDataChanging = function unsubscribeDataChanging(vm) {\n  remove(this._dataListeners, vm);\n};\nVueI18n.prototype.watchI18nData = function watchI18nData() {\n  var this$1 = this;\n  return this._vm.$watch('$data', function () {\n    var listeners = arrayFrom(this$1._dataListeners);\n    var i = listeners.length;\n    while (i--) {\n      Vue.nextTick(function () {\n        listeners[i] && listeners[i].$forceUpdate();\n      });\n    }\n  }, {\n    deep: true\n  });\n};\nVueI18n.prototype.watchLocale = function watchLocale(composer) {\n  if (!composer) {\n    /* istanbul ignore if */\n    if (!this._sync || !this._root) {\n      return null;\n    }\n    var target = this._vm;\n    return this._root.$i18n.vm.$watch('locale', function (val) {\n      target.$set(target, 'locale', val);\n      target.$forceUpdate();\n    }, {\n      immediate: true\n    });\n  } else {\n    // deal with vue-i18n-bridge\n    if (!this.__VUE_I18N_BRIDGE__) {\n      return null;\n    }\n    var self = this;\n    var target$1 = this._vm;\n    return this.vm.$watch('locale', function (val) {\n      target$1.$set(target$1, 'locale', val);\n      if (self.__VUE_I18N_BRIDGE__ && composer) {\n        composer.locale.value = val;\n      }\n      target$1.$forceUpdate();\n    }, {\n      immediate: true\n    });\n  }\n};\nVueI18n.prototype.onComponentInstanceCreated = function onComponentInstanceCreated(newI18n) {\n  if (this._componentInstanceCreatedListener) {\n    this._componentInstanceCreatedListener(newI18n, this);\n  }\n};\nprototypeAccessors.vm.get = function () {\n  return this._vm;\n};\nprototypeAccessors.messages.get = function () {\n  return looseClone(this._getMessages());\n};\nprototypeAccessors.dateTimeFormats.get = function () {\n  return looseClone(this._getDateTimeFormats());\n};\nprototypeAccessors.numberFormats.get = function () {\n  return looseClone(this._getNumberFormats());\n};\nprototypeAccessors.availableLocales.get = function () {\n  return Object.keys(this.messages).sort();\n};\nprototypeAccessors.locale.get = function () {\n  return this._vm.locale;\n};\nprototypeAccessors.locale.set = function (locale) {\n  this._vm.$set(this._vm, 'locale', locale);\n};\nprototypeAccessors.fallbackLocale.get = function () {\n  return this._vm.fallbackLocale;\n};\nprototypeAccessors.fallbackLocale.set = function (locale) {\n  this._localeChainCache = {};\n  this._vm.$set(this._vm, 'fallbackLocale', locale);\n};\nprototypeAccessors.formatFallbackMessages.get = function () {\n  return this._formatFallbackMessages;\n};\nprototypeAccessors.formatFallbackMessages.set = function (fallback) {\n  this._formatFallbackMessages = fallback;\n};\nprototypeAccessors.missing.get = function () {\n  return this._missing;\n};\nprototypeAccessors.missing.set = function (handler) {\n  this._missing = handler;\n};\nprototypeAccessors.formatter.get = function () {\n  return this._formatter;\n};\nprototypeAccessors.formatter.set = function (formatter) {\n  this._formatter = formatter;\n};\nprototypeAccessors.silentTranslationWarn.get = function () {\n  return this._silentTranslationWarn;\n};\nprototypeAccessors.silentTranslationWarn.set = function (silent) {\n  this._silentTranslationWarn = silent;\n};\nprototypeAccessors.silentFallbackWarn.get = function () {\n  return this._silentFallbackWarn;\n};\nprototypeAccessors.silentFallbackWarn.set = function (silent) {\n  this._silentFallbackWarn = silent;\n};\nprototypeAccessors.preserveDirectiveContent.get = function () {\n  return this._preserveDirectiveContent;\n};\nprototypeAccessors.preserveDirectiveContent.set = function (preserve) {\n  this._preserveDirectiveContent = preserve;\n};\nprototypeAccessors.warnHtmlInMessage.get = function () {\n  return this._warnHtmlInMessage;\n};\nprototypeAccessors.warnHtmlInMessage.set = function (level) {\n  var this$1 = this;\n  var orgLevel = this._warnHtmlInMessage;\n  this._warnHtmlInMessage = level;\n  if (orgLevel !== level && (level === 'warn' || level === 'error')) {\n    var messages = this._getMessages();\n    Object.keys(messages).forEach(function (locale) {\n      this$1._checkLocaleMessage(locale, this$1._warnHtmlInMessage, messages[locale]);\n    });\n  }\n};\nprototypeAccessors.postTranslation.get = function () {\n  return this._postTranslation;\n};\nprototypeAccessors.postTranslation.set = function (handler) {\n  this._postTranslation = handler;\n};\nprototypeAccessors.sync.get = function () {\n  return this._sync;\n};\nprototypeAccessors.sync.set = function (val) {\n  this._sync = val;\n};\nVueI18n.prototype._getMessages = function _getMessages() {\n  return this._vm.messages;\n};\nVueI18n.prototype._getDateTimeFormats = function _getDateTimeFormats() {\n  return this._vm.dateTimeFormats;\n};\nVueI18n.prototype._getNumberFormats = function _getNumberFormats() {\n  return this._vm.numberFormats;\n};\nVueI18n.prototype._warnDefault = function _warnDefault(locale, key, result, vm, values, interpolateMode) {\n  if (!isNull(result)) {\n    return result;\n  }\n  if (this._missing) {\n    var missingRet = this._missing.apply(null, [locale, key, vm, values]);\n    if (isString(missingRet)) {\n      return missingRet;\n    }\n  } else {\n    if ( true && !this._isSilentTranslationWarn(key)) {\n      warn(\"Cannot translate the value of keypath '\" + key + \"'. \" + 'Use the value of keypath as default.');\n    }\n  }\n  if (this._formatFallbackMessages) {\n    var parsedArgs = parseArgs.apply(void 0, values);\n    return this._render(key, interpolateMode, parsedArgs.params, key);\n  } else {\n    return key;\n  }\n};\nVueI18n.prototype._isFallbackRoot = function _isFallbackRoot(val) {\n  return (this._fallbackRootWithEmptyString ? !val : isNull(val)) && !isNull(this._root) && this._fallbackRoot;\n};\nVueI18n.prototype._isSilentFallbackWarn = function _isSilentFallbackWarn(key) {\n  return this._silentFallbackWarn instanceof RegExp ? this._silentFallbackWarn.test(key) : this._silentFallbackWarn;\n};\nVueI18n.prototype._isSilentFallback = function _isSilentFallback(locale, key) {\n  return this._isSilentFallbackWarn(key) && (this._isFallbackRoot() || locale !== this.fallbackLocale);\n};\nVueI18n.prototype._isSilentTranslationWarn = function _isSilentTranslationWarn(key) {\n  return this._silentTranslationWarn instanceof RegExp ? this._silentTranslationWarn.test(key) : this._silentTranslationWarn;\n};\nVueI18n.prototype._interpolate = function _interpolate(locale, message, key, host, interpolateMode, values, visitedLinkStack) {\n  if (!message) {\n    return null;\n  }\n  var pathRet = this._path.getPathValue(message, key);\n  if (isArray(pathRet) || isPlainObject(pathRet)) {\n    return pathRet;\n  }\n  var ret;\n  if (isNull(pathRet)) {\n    /* istanbul ignore else */\n    if (isPlainObject(message)) {\n      ret = message[key];\n      if (!(isString(ret) || isFunction(ret))) {\n        if ( true && !this._isSilentTranslationWarn(key) && !this._isSilentFallback(locale, key)) {\n          warn(\"Value of key '\" + key + \"' is not a string or function !\");\n        }\n        return null;\n      }\n    } else {\n      return null;\n    }\n  } else {\n    /* istanbul ignore else */\n    if (isString(pathRet) || isFunction(pathRet)) {\n      ret = pathRet;\n    } else {\n      if ( true && !this._isSilentTranslationWarn(key) && !this._isSilentFallback(locale, key)) {\n        warn(\"Value of key '\" + key + \"' is not a string or function!\");\n      }\n      return null;\n    }\n  }\n\n  // Check for the existence of links within the translated string\n  if (isString(ret) && (ret.indexOf('@:') >= 0 || ret.indexOf('@.') >= 0)) {\n    ret = this._link(locale, message, ret, host, 'raw', values, visitedLinkStack);\n  }\n  return this._render(ret, interpolateMode, values, key);\n};\nVueI18n.prototype._link = function _link(locale, message, str, host, interpolateMode, values, visitedLinkStack) {\n  var ret = str;\n\n  // Match all the links within the local\n  // We are going to replace each of\n  // them with its translation\n  var matches = ret.match(linkKeyMatcher);\n\n  // eslint-disable-next-line no-autofix/prefer-const\n  for (var idx in matches) {\n    // ie compatible: filter custom array\n    // prototype method\n    if (!matches.hasOwnProperty(idx)) {\n      continue;\n    }\n    var link = matches[idx];\n    var linkKeyPrefixMatches = link.match(linkKeyPrefixMatcher);\n    var linkPrefix = linkKeyPrefixMatches[0];\n    var formatterName = linkKeyPrefixMatches[1];\n\n    // Remove the leading @:, @.case: and the brackets\n    var linkPlaceholder = link.replace(linkPrefix, '').replace(bracketsMatcher, '');\n    if (includes(visitedLinkStack, linkPlaceholder)) {\n      if (true) {\n        warn(\"Circular reference found. \\\"\" + link + \"\\\" is already visited in the chain of \" + visitedLinkStack.reverse().join(' <- '));\n      }\n      return ret;\n    }\n    visitedLinkStack.push(linkPlaceholder);\n\n    // Translate the link\n    var translated = this._interpolate(locale, message, linkPlaceholder, host, interpolateMode === 'raw' ? 'string' : interpolateMode, interpolateMode === 'raw' ? undefined : values, visitedLinkStack);\n    if (this._isFallbackRoot(translated)) {\n      if ( true && !this._isSilentTranslationWarn(linkPlaceholder)) {\n        warn(\"Fall back to translate the link placeholder '\" + linkPlaceholder + \"' with root locale.\");\n      }\n      /* istanbul ignore if */\n      if (!this._root) {\n        throw Error('unexpected error');\n      }\n      var root = this._root.$i18n;\n      translated = root._translate(root._getMessages(), root.locale, root.fallbackLocale, linkPlaceholder, host, interpolateMode, values);\n    }\n    translated = this._warnDefault(locale, linkPlaceholder, translated, host, isArray(values) ? values : [values], interpolateMode);\n    if (this._modifiers.hasOwnProperty(formatterName)) {\n      translated = this._modifiers[formatterName](translated);\n    } else if (defaultModifiers.hasOwnProperty(formatterName)) {\n      translated = defaultModifiers[formatterName](translated);\n    }\n    visitedLinkStack.pop();\n\n    // Replace the link with the translated\n    ret = !translated ? ret : ret.replace(link, translated);\n  }\n  return ret;\n};\nVueI18n.prototype._createMessageContext = function _createMessageContext(values, formatter, path, interpolateMode) {\n  var this$1 = this;\n  var _list = isArray(values) ? values : [];\n  var _named = isObject(values) ? values : {};\n  var list = function (index) {\n    return _list[index];\n  };\n  var named = function (key) {\n    return _named[key];\n  };\n  var messages = this._getMessages();\n  var locale = this.locale;\n  return {\n    list: list,\n    named: named,\n    values: values,\n    formatter: formatter,\n    path: path,\n    messages: messages,\n    locale: locale,\n    linked: function (linkedKey) {\n      return this$1._interpolate(locale, messages[locale] || {}, linkedKey, null, interpolateMode, undefined, [linkedKey]);\n    }\n  };\n};\nVueI18n.prototype._render = function _render(message, interpolateMode, values, path) {\n  if (isFunction(message)) {\n    return message(this._createMessageContext(values, this._formatter || defaultFormatter, path, interpolateMode));\n  }\n  var ret = this._formatter.interpolate(message, values, path);\n\n  // If the custom formatter refuses to work - apply the default one\n  if (!ret) {\n    ret = defaultFormatter.interpolate(message, values, path);\n  }\n\n  // if interpolateMode is **not** 'string' ('row'),\n  // return the compiled data (e.g. ['foo', VNode, 'bar']) with formatter\n  return interpolateMode === 'string' && !isString(ret) ? ret.join('') : ret;\n};\nVueI18n.prototype._appendItemToChain = function _appendItemToChain(chain, item, blocks) {\n  var follow = false;\n  if (!includes(chain, item)) {\n    follow = true;\n    if (item) {\n      follow = item[item.length - 1] !== '!';\n      item = item.replace(/!/g, '');\n      chain.push(item);\n      if (blocks && blocks[item]) {\n        follow = blocks[item];\n      }\n    }\n  }\n  return follow;\n};\nVueI18n.prototype._appendLocaleToChain = function _appendLocaleToChain(chain, locale, blocks) {\n  var follow;\n  var tokens = locale.split('-');\n  do {\n    var item = tokens.join('-');\n    follow = this._appendItemToChain(chain, item, blocks);\n    tokens.splice(-1, 1);\n  } while (tokens.length && follow === true);\n  return follow;\n};\nVueI18n.prototype._appendBlockToChain = function _appendBlockToChain(chain, block, blocks) {\n  var follow = true;\n  for (var i = 0; i < block.length && isBoolean(follow); i++) {\n    var locale = block[i];\n    if (isString(locale)) {\n      follow = this._appendLocaleToChain(chain, locale, blocks);\n    }\n  }\n  return follow;\n};\nVueI18n.prototype._getLocaleChain = function _getLocaleChain(start, fallbackLocale) {\n  if (start === '') {\n    return [];\n  }\n  if (!this._localeChainCache) {\n    this._localeChainCache = {};\n  }\n  var chain = this._localeChainCache[start];\n  if (!chain) {\n    if (!fallbackLocale) {\n      fallbackLocale = this.fallbackLocale;\n    }\n    chain = [];\n\n    // first block defined by start\n    var block = [start];\n\n    // while any intervening block found\n    while (isArray(block)) {\n      block = this._appendBlockToChain(chain, block, fallbackLocale);\n    }\n\n    // last block defined by default\n    var defaults;\n    if (isArray(fallbackLocale)) {\n      defaults = fallbackLocale;\n    } else if (isObject(fallbackLocale)) {\n      /* $FlowFixMe */\n      if (fallbackLocale['default']) {\n        defaults = fallbackLocale['default'];\n      } else {\n        defaults = null;\n      }\n    } else {\n      defaults = fallbackLocale;\n    }\n\n    // convert defaults to array\n    if (isString(defaults)) {\n      block = [defaults];\n    } else {\n      block = defaults;\n    }\n    if (block) {\n      this._appendBlockToChain(chain, block, null);\n    }\n    this._localeChainCache[start] = chain;\n  }\n  return chain;\n};\nVueI18n.prototype._translate = function _translate(messages, locale, fallback, key, host, interpolateMode, args) {\n  var chain = this._getLocaleChain(locale, fallback);\n  var res;\n  for (var i = 0; i < chain.length; i++) {\n    var step = chain[i];\n    res = this._interpolate(step, messages[step], key, host, interpolateMode, args, [key]);\n    if (!isNull(res)) {\n      if (step !== locale && \"development\" !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n        warn(\"Fall back to translate the keypath '\" + key + \"' with '\" + step + \"' locale.\");\n      }\n      return res;\n    }\n  }\n  return null;\n};\nVueI18n.prototype._t = function _t(key, _locale, messages, host) {\n  var ref;\n  var values = [],\n    len = arguments.length - 4;\n  while (len-- > 0) values[len] = arguments[len + 4];\n  if (!key) {\n    return '';\n  }\n  var parsedArgs = parseArgs.apply(void 0, values);\n  if (this._escapeParameterHtml) {\n    parsedArgs.params = escapeParams(parsedArgs.params);\n  }\n  var locale = parsedArgs.locale || _locale;\n  var ret = this._translate(messages, locale, this.fallbackLocale, key, host, 'string', parsedArgs.params);\n  if (this._isFallbackRoot(ret)) {\n    if ( true && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n      warn(\"Fall back to translate the keypath '\" + key + \"' with root locale.\");\n    }\n    /* istanbul ignore if */\n    if (!this._root) {\n      throw Error('unexpected error');\n    }\n    return (ref = this._root).$t.apply(ref, [key].concat(values));\n  } else {\n    ret = this._warnDefault(locale, key, ret, host, values, 'string');\n    if (this._postTranslation && ret !== null && ret !== undefined) {\n      ret = this._postTranslation(ret, key);\n    }\n    return ret;\n  }\n};\nVueI18n.prototype.t = function t(key) {\n  var ref;\n  var values = [],\n    len = arguments.length - 1;\n  while (len-- > 0) values[len] = arguments[len + 1];\n  return (ref = this)._t.apply(ref, [key, this.locale, this._getMessages(), null].concat(values));\n};\nVueI18n.prototype._i = function _i(key, locale, messages, host, values) {\n  var ret = this._translate(messages, locale, this.fallbackLocale, key, host, 'raw', values);\n  if (this._isFallbackRoot(ret)) {\n    if ( true && !this._isSilentTranslationWarn(key)) {\n      warn(\"Fall back to interpolate the keypath '\" + key + \"' with root locale.\");\n    }\n    if (!this._root) {\n      throw Error('unexpected error');\n    }\n    return this._root.$i18n.i(key, locale, values);\n  } else {\n    return this._warnDefault(locale, key, ret, host, [values], 'raw');\n  }\n};\nVueI18n.prototype.i = function i(key, locale, values) {\n  /* istanbul ignore if */\n  if (!key) {\n    return '';\n  }\n  if (!isString(locale)) {\n    locale = this.locale;\n  }\n  return this._i(key, locale, this._getMessages(), null, values);\n};\nVueI18n.prototype._tc = function _tc(key, _locale, messages, host, choice) {\n  var ref;\n  var values = [],\n    len = arguments.length - 5;\n  while (len-- > 0) values[len] = arguments[len + 5];\n  if (!key) {\n    return '';\n  }\n  if (choice === undefined) {\n    choice = 1;\n  }\n  var predefined = {\n    'count': choice,\n    'n': choice\n  };\n  var parsedArgs = parseArgs.apply(void 0, values);\n  parsedArgs.params = Object.assign(predefined, parsedArgs.params);\n  values = parsedArgs.locale === null ? [parsedArgs.params] : [parsedArgs.locale, parsedArgs.params];\n  return this.fetchChoice((ref = this)._t.apply(ref, [key, _locale, messages, host].concat(values)), choice);\n};\nVueI18n.prototype.fetchChoice = function fetchChoice(message, choice) {\n  /* istanbul ignore if */\n  if (!message || !isString(message)) {\n    return null;\n  }\n  var choices = message.split('|');\n  choice = this.getChoiceIndex(choice, choices.length);\n  if (!choices[choice]) {\n    return message;\n  }\n  return choices[choice].trim();\n};\nVueI18n.prototype.tc = function tc(key, choice) {\n  var ref;\n  var values = [],\n    len = arguments.length - 2;\n  while (len-- > 0) values[len] = arguments[len + 2];\n  return (ref = this)._tc.apply(ref, [key, this.locale, this._getMessages(), null, choice].concat(values));\n};\nVueI18n.prototype._te = function _te(key, locale, messages) {\n  var args = [],\n    len = arguments.length - 3;\n  while (len-- > 0) args[len] = arguments[len + 3];\n  var _locale = parseArgs.apply(void 0, args).locale || locale;\n  return this._exist(messages[_locale], key);\n};\nVueI18n.prototype.te = function te(key, locale) {\n  return this._te(key, this.locale, this._getMessages(), locale);\n};\nVueI18n.prototype.getLocaleMessage = function getLocaleMessage(locale) {\n  return looseClone(this._vm.messages[locale] || {});\n};\nVueI18n.prototype.setLocaleMessage = function setLocaleMessage(locale, message) {\n  if (this._warnHtmlInMessage === 'warn' || this._warnHtmlInMessage === 'error') {\n    this._checkLocaleMessage(locale, this._warnHtmlInMessage, message);\n  }\n  this._vm.$set(this._vm.messages, locale, message);\n};\nVueI18n.prototype.mergeLocaleMessage = function mergeLocaleMessage(locale, message) {\n  if (this._warnHtmlInMessage === 'warn' || this._warnHtmlInMessage === 'error') {\n    this._checkLocaleMessage(locale, this._warnHtmlInMessage, message);\n  }\n  this._vm.$set(this._vm.messages, locale, merge(typeof this._vm.messages[locale] !== 'undefined' && Object.keys(this._vm.messages[locale]).length ? Object.assign({}, this._vm.messages[locale]) : {}, message));\n};\nVueI18n.prototype.getDateTimeFormat = function getDateTimeFormat(locale) {\n  return looseClone(this._vm.dateTimeFormats[locale] || {});\n};\nVueI18n.prototype.setDateTimeFormat = function setDateTimeFormat(locale, format) {\n  this._vm.$set(this._vm.dateTimeFormats, locale, format);\n  this._clearDateTimeFormat(locale, format);\n};\nVueI18n.prototype.mergeDateTimeFormat = function mergeDateTimeFormat(locale, format) {\n  this._vm.$set(this._vm.dateTimeFormats, locale, merge(this._vm.dateTimeFormats[locale] || {}, format));\n  this._clearDateTimeFormat(locale, format);\n};\nVueI18n.prototype._clearDateTimeFormat = function _clearDateTimeFormat(locale, format) {\n  // eslint-disable-next-line no-autofix/prefer-const\n  for (var key in format) {\n    var id = locale + \"__\" + key;\n    if (!this._dateTimeFormatters.hasOwnProperty(id)) {\n      continue;\n    }\n    delete this._dateTimeFormatters[id];\n  }\n};\nVueI18n.prototype._localizeDateTime = function _localizeDateTime(value, locale, fallback, dateTimeFormats, key, options) {\n  var _locale = locale;\n  var formats = dateTimeFormats[_locale];\n  var chain = this._getLocaleChain(locale, fallback);\n  for (var i = 0; i < chain.length; i++) {\n    var current = _locale;\n    var step = chain[i];\n    formats = dateTimeFormats[step];\n    _locale = step;\n    // fallback locale\n    if (isNull(formats) || isNull(formats[key])) {\n      if (step !== locale && \"development\" !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n        warn(\"Fall back to '\" + step + \"' datetime formats from '\" + current + \"' datetime formats.\");\n      }\n    } else {\n      break;\n    }\n  }\n  if (isNull(formats) || isNull(formats[key])) {\n    return null;\n  } else {\n    var format = formats[key];\n    var formatter;\n    if (options) {\n      formatter = new Intl.DateTimeFormat(_locale, Object.assign({}, format, options));\n    } else {\n      var id = _locale + \"__\" + key;\n      formatter = this._dateTimeFormatters[id];\n      if (!formatter) {\n        formatter = this._dateTimeFormatters[id] = new Intl.DateTimeFormat(_locale, format);\n      }\n    }\n    return formatter.format(value);\n  }\n};\nVueI18n.prototype._d = function _d(value, locale, key, options) {\n  /* istanbul ignore if */\n  if ( true && !VueI18n.availabilities.dateTimeFormat) {\n    warn('Cannot format a Date value due to not supported Intl.DateTimeFormat.');\n    return '';\n  }\n  if (!key) {\n    var dtf = !options ? new Intl.DateTimeFormat(locale) : new Intl.DateTimeFormat(locale, options);\n    return dtf.format(value);\n  }\n  var ret = this._localizeDateTime(value, locale, this.fallbackLocale, this._getDateTimeFormats(), key, options);\n  if (this._isFallbackRoot(ret)) {\n    if ( true && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n      warn(\"Fall back to datetime localization of root: key '\" + key + \"'.\");\n    }\n    /* istanbul ignore if */\n    if (!this._root) {\n      throw Error('unexpected error');\n    }\n    return this._root.$i18n.d(value, key, locale);\n  } else {\n    return ret || '';\n  }\n};\nVueI18n.prototype.d = function d(value) {\n  var args = [],\n    len = arguments.length - 1;\n  while (len-- > 0) args[len] = arguments[len + 1];\n  var locale = this.locale;\n  var key = null;\n  var options = null;\n  if (args.length === 1) {\n    if (isString(args[0])) {\n      key = args[0];\n    } else if (isObject(args[0])) {\n      if (args[0].locale) {\n        locale = args[0].locale;\n      }\n      if (args[0].key) {\n        key = args[0].key;\n      }\n    }\n    options = Object.keys(args[0]).reduce(function (acc, key) {\n      var obj;\n      if (includes(dateTimeFormatKeys, key)) {\n        return Object.assign({}, acc, (obj = {}, obj[key] = args[0][key], obj));\n      }\n      return acc;\n    }, null);\n  } else if (args.length === 2) {\n    if (isString(args[0])) {\n      key = args[0];\n    }\n    if (isString(args[1])) {\n      locale = args[1];\n    }\n  }\n  return this._d(value, locale, key, options);\n};\nVueI18n.prototype.getNumberFormat = function getNumberFormat(locale) {\n  return looseClone(this._vm.numberFormats[locale] || {});\n};\nVueI18n.prototype.setNumberFormat = function setNumberFormat(locale, format) {\n  this._vm.$set(this._vm.numberFormats, locale, format);\n  this._clearNumberFormat(locale, format);\n};\nVueI18n.prototype.mergeNumberFormat = function mergeNumberFormat(locale, format) {\n  this._vm.$set(this._vm.numberFormats, locale, merge(this._vm.numberFormats[locale] || {}, format));\n  this._clearNumberFormat(locale, format);\n};\nVueI18n.prototype._clearNumberFormat = function _clearNumberFormat(locale, format) {\n  // eslint-disable-next-line no-autofix/prefer-const\n  for (var key in format) {\n    var id = locale + \"__\" + key;\n    if (!this._numberFormatters.hasOwnProperty(id)) {\n      continue;\n    }\n    delete this._numberFormatters[id];\n  }\n};\nVueI18n.prototype._getNumberFormatter = function _getNumberFormatter(value, locale, fallback, numberFormats, key, options) {\n  var _locale = locale;\n  var formats = numberFormats[_locale];\n  var chain = this._getLocaleChain(locale, fallback);\n  for (var i = 0; i < chain.length; i++) {\n    var current = _locale;\n    var step = chain[i];\n    formats = numberFormats[step];\n    _locale = step;\n    // fallback locale\n    if (isNull(formats) || isNull(formats[key])) {\n      if (step !== locale && \"development\" !== 'production' && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n        warn(\"Fall back to '\" + step + \"' number formats from '\" + current + \"' number formats.\");\n      }\n    } else {\n      break;\n    }\n  }\n  if (isNull(formats) || isNull(formats[key])) {\n    return null;\n  } else {\n    var format = formats[key];\n    var formatter;\n    if (options) {\n      // If options specified - create one time number formatter\n      formatter = new Intl.NumberFormat(_locale, Object.assign({}, format, options));\n    } else {\n      var id = _locale + \"__\" + key;\n      formatter = this._numberFormatters[id];\n      if (!formatter) {\n        formatter = this._numberFormatters[id] = new Intl.NumberFormat(_locale, format);\n      }\n    }\n    return formatter;\n  }\n};\nVueI18n.prototype._n = function _n(value, locale, key, options) {\n  /* istanbul ignore if */\n  if (!VueI18n.availabilities.numberFormat) {\n    if (true) {\n      warn('Cannot format a Number value due to not supported Intl.NumberFormat.');\n    }\n    return '';\n  }\n  if (!key) {\n    var nf = !options ? new Intl.NumberFormat(locale) : new Intl.NumberFormat(locale, options);\n    return nf.format(value);\n  }\n  var formatter = this._getNumberFormatter(value, locale, this.fallbackLocale, this._getNumberFormats(), key, options);\n  var ret = formatter && formatter.format(value);\n  if (this._isFallbackRoot(ret)) {\n    if ( true && !this._isSilentTranslationWarn(key) && !this._isSilentFallbackWarn(key)) {\n      warn(\"Fall back to number localization of root: key '\" + key + \"'.\");\n    }\n    /* istanbul ignore if */\n    if (!this._root) {\n      throw Error('unexpected error');\n    }\n    return this._root.$i18n.n(value, Object.assign({}, {\n      key: key,\n      locale: locale\n    }, options));\n  } else {\n    return ret || '';\n  }\n};\nVueI18n.prototype.n = function n(value) {\n  var args = [],\n    len = arguments.length - 1;\n  while (len-- > 0) args[len] = arguments[len + 1];\n  var locale = this.locale;\n  var key = null;\n  var options = null;\n  if (args.length === 1) {\n    if (isString(args[0])) {\n      key = args[0];\n    } else if (isObject(args[0])) {\n      if (args[0].locale) {\n        locale = args[0].locale;\n      }\n      if (args[0].key) {\n        key = args[0].key;\n      }\n\n      // Filter out number format options only\n      options = Object.keys(args[0]).reduce(function (acc, key) {\n        var obj;\n        if (includes(numberFormatKeys, key)) {\n          return Object.assign({}, acc, (obj = {}, obj[key] = args[0][key], obj));\n        }\n        return acc;\n      }, null);\n    }\n  } else if (args.length === 2) {\n    if (isString(args[0])) {\n      key = args[0];\n    }\n    if (isString(args[1])) {\n      locale = args[1];\n    }\n  }\n  return this._n(value, locale, key, options);\n};\nVueI18n.prototype._ntp = function _ntp(value, locale, key, options) {\n  /* istanbul ignore if */\n  if (!VueI18n.availabilities.numberFormat) {\n    if (true) {\n      warn('Cannot format to parts a Number value due to not supported Intl.NumberFormat.');\n    }\n    return [];\n  }\n  if (!key) {\n    var nf = !options ? new Intl.NumberFormat(locale) : new Intl.NumberFormat(locale, options);\n    return nf.formatToParts(value);\n  }\n  var formatter = this._getNumberFormatter(value, locale, this.fallbackLocale, this._getNumberFormats(), key, options);\n  var ret = formatter && formatter.formatToParts(value);\n  if (this._isFallbackRoot(ret)) {\n    if ( true && !this._isSilentTranslationWarn(key)) {\n      warn(\"Fall back to format number to parts of root: key '\" + key + \"' .\");\n    }\n    /* istanbul ignore if */\n    if (!this._root) {\n      throw Error('unexpected error');\n    }\n    return this._root.$i18n._ntp(value, locale, key, options);\n  } else {\n    return ret || [];\n  }\n};\nObject.defineProperties(VueI18n.prototype, prototypeAccessors);\nvar availabilities;\n// $FlowFixMe\nObject.defineProperty(VueI18n, 'availabilities', {\n  get: function get() {\n    if (!availabilities) {\n      var intlDefined = typeof Intl !== 'undefined';\n      availabilities = {\n        dateTimeFormat: intlDefined && typeof Intl.DateTimeFormat !== 'undefined',\n        numberFormat: intlDefined && typeof Intl.NumberFormat !== 'undefined'\n      };\n    }\n    return availabilities;\n  }\n});\nVueI18n.install = install;\nVueI18n.version = '8.28.2';\n/* harmony default export */ __webpack_exports__[\"default\"] = (VueI18n);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/vue-i18n/dist/vue-i18n.esm.js?");
-
-/***/ }),
-
-/***/ "./node_modules/vue-router/dist/vue-router.esm.js":
-/*!********************************************************!*\
-  !*** ./node_modules/vue-router/dist/vue-router.esm.js ***!
-  \********************************************************/
-/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {
-
-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */   \"NavigationFailureType\": function() { return /* binding */ NavigationFailureType; },\n/* harmony export */   \"RouterLink\": function() { return /* binding */ Link; },\n/* harmony export */   \"RouterView\": function() { return /* binding */ View; },\n/* harmony export */   \"START_LOCATION\": function() { return /* binding */ START; },\n/* harmony export */   \"default\": function() { return /* binding */ VueRouter$1; },\n/* harmony export */   \"isNavigationFailure\": function() { return /* binding */ isNavigationFailure; },\n/* harmony export */   \"version\": function() { return /* binding */ version; }\n/* harmony export */ });\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__);\n/* harmony import */ var core_js_modules_es_array_unshift_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! core-js/modules/es.array.unshift.js */ \"./node_modules/core-js/modules/es.array.unshift.js\");\n/* harmony import */ var core_js_modules_es_array_unshift_js__WEBPACK_IMPORTED_MODULE_1___default = /*#__PURE__*/__webpack_require__.n(core_js_modules_es_array_unshift_js__WEBPACK_IMPORTED_MODULE_1__);\n/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\n\n\n/*!\n  * vue-router v3.6.5\n  * (c) 2022 Evan You\n  * @license MIT\n  */\n/*  */\n\nfunction assert(condition, message) {\n  if (!condition) {\n    throw new Error(\"[vue-router] \" + message);\n  }\n}\nfunction warn(condition, message) {\n  if (!condition) {\n    typeof console !== 'undefined' && console.warn(\"[vue-router] \" + message);\n  }\n}\nfunction extend(a, b) {\n  for (var key in b) {\n    a[key] = b[key];\n  }\n  return a;\n}\n\n/*  */\n\nvar encodeReserveRE = /[!'()*]/g;\nvar encodeReserveReplacer = function (c) {\n  return '%' + c.charCodeAt(0).toString(16);\n};\nvar commaRE = /%2C/g;\n\n// fixed encodeURIComponent which is more conformant to RFC3986:\n// - escapes [!'()*]\n// - preserve commas\nvar encode = function (str) {\n  return encodeURIComponent(str).replace(encodeReserveRE, encodeReserveReplacer).replace(commaRE, ',');\n};\nfunction decode(str) {\n  try {\n    return decodeURIComponent(str);\n  } catch (err) {\n    if (true) {\n      warn(false, \"Error decoding \\\"\" + str + \"\\\". Leaving it intact.\");\n    }\n  }\n  return str;\n}\nfunction resolveQuery(query, extraQuery, _parseQuery) {\n  if (extraQuery === void 0) extraQuery = {};\n  var parse = _parseQuery || parseQuery;\n  var parsedQuery;\n  try {\n    parsedQuery = parse(query || '');\n  } catch (e) {\n     true && warn(false, e.message);\n    parsedQuery = {};\n  }\n  for (var key in extraQuery) {\n    var value = extraQuery[key];\n    parsedQuery[key] = Array.isArray(value) ? value.map(castQueryParamValue) : castQueryParamValue(value);\n  }\n  return parsedQuery;\n}\nvar castQueryParamValue = function (value) {\n  return value == null || typeof value === 'object' ? value : String(value);\n};\nfunction parseQuery(query) {\n  var res = {};\n  query = query.trim().replace(/^(\\?|#|&)/, '');\n  if (!query) {\n    return res;\n  }\n  query.split('&').forEach(function (param) {\n    var parts = param.replace(/\\+/g, ' ').split('=');\n    var key = decode(parts.shift());\n    var val = parts.length > 0 ? decode(parts.join('=')) : null;\n    if (res[key] === undefined) {\n      res[key] = val;\n    } else if (Array.isArray(res[key])) {\n      res[key].push(val);\n    } else {\n      res[key] = [res[key], val];\n    }\n  });\n  return res;\n}\nfunction stringifyQuery(obj) {\n  var res = obj ? Object.keys(obj).map(function (key) {\n    var val = obj[key];\n    if (val === undefined) {\n      return '';\n    }\n    if (val === null) {\n      return encode(key);\n    }\n    if (Array.isArray(val)) {\n      var result = [];\n      val.forEach(function (val2) {\n        if (val2 === undefined) {\n          return;\n        }\n        if (val2 === null) {\n          result.push(encode(key));\n        } else {\n          result.push(encode(key) + '=' + encode(val2));\n        }\n      });\n      return result.join('&');\n    }\n    return encode(key) + '=' + encode(val);\n  }).filter(function (x) {\n    return x.length > 0;\n  }).join('&') : null;\n  return res ? \"?\" + res : '';\n}\n\n/*  */\n\nvar trailingSlashRE = /\\/?$/;\nfunction createRoute(record, location, redirectedFrom, router) {\n  var stringifyQuery = router && router.options.stringifyQuery;\n  var query = location.query || {};\n  try {\n    query = clone(query);\n  } catch (e) {}\n  var route = {\n    name: location.name || record && record.name,\n    meta: record && record.meta || {},\n    path: location.path || '/',\n    hash: location.hash || '',\n    query: query,\n    params: location.params || {},\n    fullPath: getFullPath(location, stringifyQuery),\n    matched: record ? formatMatch(record) : []\n  };\n  if (redirectedFrom) {\n    route.redirectedFrom = getFullPath(redirectedFrom, stringifyQuery);\n  }\n  return Object.freeze(route);\n}\nfunction clone(value) {\n  if (Array.isArray(value)) {\n    return value.map(clone);\n  } else if (value && typeof value === 'object') {\n    var res = {};\n    for (var key in value) {\n      res[key] = clone(value[key]);\n    }\n    return res;\n  } else {\n    return value;\n  }\n}\n\n// the starting route that represents the initial state\nvar START = createRoute(null, {\n  path: '/'\n});\nfunction formatMatch(record) {\n  var res = [];\n  while (record) {\n    res.unshift(record);\n    record = record.parent;\n  }\n  return res;\n}\nfunction getFullPath(ref, _stringifyQuery) {\n  var path = ref.path;\n  var query = ref.query;\n  if (query === void 0) query = {};\n  var hash = ref.hash;\n  if (hash === void 0) hash = '';\n  var stringify = _stringifyQuery || stringifyQuery;\n  return (path || '/') + stringify(query) + hash;\n}\nfunction isSameRoute(a, b, onlyPath) {\n  if (b === START) {\n    return a === b;\n  } else if (!b) {\n    return false;\n  } else if (a.path && b.path) {\n    return a.path.replace(trailingSlashRE, '') === b.path.replace(trailingSlashRE, '') && (onlyPath || a.hash === b.hash && isObjectEqual(a.query, b.query));\n  } else if (a.name && b.name) {\n    return a.name === b.name && (onlyPath || a.hash === b.hash && isObjectEqual(a.query, b.query) && isObjectEqual(a.params, b.params));\n  } else {\n    return false;\n  }\n}\nfunction isObjectEqual(a, b) {\n  if (a === void 0) a = {};\n  if (b === void 0) b = {};\n\n  // handle null value #1566\n  if (!a || !b) {\n    return a === b;\n  }\n  var aKeys = Object.keys(a).sort();\n  var bKeys = Object.keys(b).sort();\n  if (aKeys.length !== bKeys.length) {\n    return false;\n  }\n  return aKeys.every(function (key, i) {\n    var aVal = a[key];\n    var bKey = bKeys[i];\n    if (bKey !== key) {\n      return false;\n    }\n    var bVal = b[key];\n    // query values can be null and undefined\n    if (aVal == null || bVal == null) {\n      return aVal === bVal;\n    }\n    // check nested equality\n    if (typeof aVal === 'object' && typeof bVal === 'object') {\n      return isObjectEqual(aVal, bVal);\n    }\n    return String(aVal) === String(bVal);\n  });\n}\nfunction isIncludedRoute(current, target) {\n  return current.path.replace(trailingSlashRE, '/').indexOf(target.path.replace(trailingSlashRE, '/')) === 0 && (!target.hash || current.hash === target.hash) && queryIncludes(current.query, target.query);\n}\nfunction queryIncludes(current, target) {\n  for (var key in target) {\n    if (!(key in current)) {\n      return false;\n    }\n  }\n  return true;\n}\nfunction handleRouteEntered(route) {\n  for (var i = 0; i < route.matched.length; i++) {\n    var record = route.matched[i];\n    for (var name in record.instances) {\n      var instance = record.instances[name];\n      var cbs = record.enteredCbs[name];\n      if (!instance || !cbs) {\n        continue;\n      }\n      delete record.enteredCbs[name];\n      for (var i$1 = 0; i$1 < cbs.length; i$1++) {\n        if (!instance._isBeingDestroyed) {\n          cbs[i$1](instance);\n        }\n      }\n    }\n  }\n}\nvar View = {\n  name: 'RouterView',\n  functional: true,\n  props: {\n    name: {\n      type: String,\n      default: 'default'\n    }\n  },\n  render: function render(_, ref) {\n    var props = ref.props;\n    var children = ref.children;\n    var parent = ref.parent;\n    var data = ref.data;\n\n    // used by devtools to display a router-view badge\n    data.routerView = true;\n\n    // directly use parent context's createElement() function\n    // so that components rendered by router-view can resolve named slots\n    var h = parent.$createElement;\n    var name = props.name;\n    var route = parent.$route;\n    var cache = parent._routerViewCache || (parent._routerViewCache = {});\n\n    // determine current view depth, also check to see if the tree\n    // has been toggled inactive but kept-alive.\n    var depth = 0;\n    var inactive = false;\n    while (parent && parent._routerRoot !== parent) {\n      var vnodeData = parent.$vnode ? parent.$vnode.data : {};\n      if (vnodeData.routerView) {\n        depth++;\n      }\n      if (vnodeData.keepAlive && parent._directInactive && parent._inactive) {\n        inactive = true;\n      }\n      parent = parent.$parent;\n    }\n    data.routerViewDepth = depth;\n\n    // render previous view if the tree is inactive and kept-alive\n    if (inactive) {\n      var cachedData = cache[name];\n      var cachedComponent = cachedData && cachedData.component;\n      if (cachedComponent) {\n        // #2301\n        // pass props\n        if (cachedData.configProps) {\n          fillPropsinData(cachedComponent, data, cachedData.route, cachedData.configProps);\n        }\n        return h(cachedComponent, data, children);\n      } else {\n        // render previous empty view\n        return h();\n      }\n    }\n    var matched = route.matched[depth];\n    var component = matched && matched.components[name];\n\n    // render empty node if no matched route or no config component\n    if (!matched || !component) {\n      cache[name] = null;\n      return h();\n    }\n\n    // cache component\n    cache[name] = {\n      component: component\n    };\n\n    // attach instance registration hook\n    // this will be called in the instance's injected lifecycle hooks\n    data.registerRouteInstance = function (vm, val) {\n      // val could be undefined for unregistration\n      var current = matched.instances[name];\n      if (val && current !== vm || !val && current === vm) {\n        matched.instances[name] = val;\n      }\n    }\n\n    // also register instance in prepatch hook\n    // in case the same component instance is reused across different routes\n    ;\n    (data.hook || (data.hook = {})).prepatch = function (_, vnode) {\n      matched.instances[name] = vnode.componentInstance;\n    };\n\n    // register instance in init hook\n    // in case kept-alive component be actived when routes changed\n    data.hook.init = function (vnode) {\n      if (vnode.data.keepAlive && vnode.componentInstance && vnode.componentInstance !== matched.instances[name]) {\n        matched.instances[name] = vnode.componentInstance;\n      }\n\n      // if the route transition has already been confirmed then we weren't\n      // able to call the cbs during confirmation as the component was not\n      // registered yet, so we call it here.\n      handleRouteEntered(route);\n    };\n    var configProps = matched.props && matched.props[name];\n    // save route and configProps in cache\n    if (configProps) {\n      extend(cache[name], {\n        route: route,\n        configProps: configProps\n      });\n      fillPropsinData(component, data, route, configProps);\n    }\n    return h(component, data, children);\n  }\n};\nfunction fillPropsinData(component, data, route, configProps) {\n  // resolve props\n  var propsToPass = data.props = resolveProps(route, configProps);\n  if (propsToPass) {\n    // clone to prevent mutation\n    propsToPass = data.props = extend({}, propsToPass);\n    // pass non-declared props as attrs\n    var attrs = data.attrs = data.attrs || {};\n    for (var key in propsToPass) {\n      if (!component.props || !(key in component.props)) {\n        attrs[key] = propsToPass[key];\n        delete propsToPass[key];\n      }\n    }\n  }\n}\nfunction resolveProps(route, config) {\n  switch (typeof config) {\n    case 'undefined':\n      return;\n    case 'object':\n      return config;\n    case 'function':\n      return config(route);\n    case 'boolean':\n      return config ? route.params : undefined;\n    default:\n      if (true) {\n        warn(false, \"props in \\\"\" + route.path + \"\\\" is a \" + typeof config + \", \" + \"expecting an object, function or boolean.\");\n      }\n  }\n}\n\n/*  */\n\nfunction resolvePath(relative, base, append) {\n  var firstChar = relative.charAt(0);\n  if (firstChar === '/') {\n    return relative;\n  }\n  if (firstChar === '?' || firstChar === '#') {\n    return base + relative;\n  }\n  var stack = base.split('/');\n\n  // remove trailing segment if:\n  // - not appending\n  // - appending to trailing slash (last segment is empty)\n  if (!append || !stack[stack.length - 1]) {\n    stack.pop();\n  }\n\n  // resolve relative path\n  var segments = relative.replace(/^\\//, '').split('/');\n  for (var i = 0; i < segments.length; i++) {\n    var segment = segments[i];\n    if (segment === '..') {\n      stack.pop();\n    } else if (segment !== '.') {\n      stack.push(segment);\n    }\n  }\n\n  // ensure leading slash\n  if (stack[0] !== '') {\n    stack.unshift('');\n  }\n  return stack.join('/');\n}\nfunction parsePath(path) {\n  var hash = '';\n  var query = '';\n  var hashIndex = path.indexOf('#');\n  if (hashIndex >= 0) {\n    hash = path.slice(hashIndex);\n    path = path.slice(0, hashIndex);\n  }\n  var queryIndex = path.indexOf('?');\n  if (queryIndex >= 0) {\n    query = path.slice(queryIndex + 1);\n    path = path.slice(0, queryIndex);\n  }\n  return {\n    path: path,\n    query: query,\n    hash: hash\n  };\n}\nfunction cleanPath(path) {\n  return path.replace(/\\/(?:\\s*\\/)+/g, '/');\n}\nvar isarray = Array.isArray || function (arr) {\n  return Object.prototype.toString.call(arr) == '[object Array]';\n};\n\n/**\n * Expose `pathToRegexp`.\n */\nvar pathToRegexp_1 = pathToRegexp;\nvar parse_1 = parse;\nvar compile_1 = compile;\nvar tokensToFunction_1 = tokensToFunction;\nvar tokensToRegExp_1 = tokensToRegExp;\n\n/**\n * The main path matching regexp utility.\n *\n * @type {RegExp}\n */\nvar PATH_REGEXP = new RegExp([\n// Match escaped characters that would otherwise appear in future matches.\n// This allows the user to escape special characters that won't transform.\n'(\\\\\\\\.)',\n// Match Express-style parameters and un-named parameters with a prefix\n// and optional suffixes. Matches appear as:\n//\n// \"/:test(\\\\d+)?\" => [\"/\", \"test\", \"\\d+\", undefined, \"?\", undefined]\n// \"/route(\\\\d+)\"  => [undefined, undefined, undefined, \"\\d+\", undefined, undefined]\n// \"/*\"            => [\"/\", undefined, undefined, undefined, undefined, \"*\"]\n'([\\\\/.])?(?:(?:\\\\:(\\\\w+)(?:\\\\(((?:\\\\\\\\.|[^\\\\\\\\()])+)\\\\))?|\\\\(((?:\\\\\\\\.|[^\\\\\\\\()])+)\\\\))([+*?])?|(\\\\*))'].join('|'), 'g');\n\n/**\n * Parse a string for the raw tokens.\n *\n * @param  {string}  str\n * @param  {Object=} options\n * @return {!Array}\n */\nfunction parse(str, options) {\n  var tokens = [];\n  var key = 0;\n  var index = 0;\n  var path = '';\n  var defaultDelimiter = options && options.delimiter || '/';\n  var res;\n  while ((res = PATH_REGEXP.exec(str)) != null) {\n    var m = res[0];\n    var escaped = res[1];\n    var offset = res.index;\n    path += str.slice(index, offset);\n    index = offset + m.length;\n\n    // Ignore already escaped sequences.\n    if (escaped) {\n      path += escaped[1];\n      continue;\n    }\n    var next = str[index];\n    var prefix = res[2];\n    var name = res[3];\n    var capture = res[4];\n    var group = res[5];\n    var modifier = res[6];\n    var asterisk = res[7];\n\n    // Push the current path onto the tokens.\n    if (path) {\n      tokens.push(path);\n      path = '';\n    }\n    var partial = prefix != null && next != null && next !== prefix;\n    var repeat = modifier === '+' || modifier === '*';\n    var optional = modifier === '?' || modifier === '*';\n    var delimiter = res[2] || defaultDelimiter;\n    var pattern = capture || group;\n    tokens.push({\n      name: name || key++,\n      prefix: prefix || '',\n      delimiter: delimiter,\n      optional: optional,\n      repeat: repeat,\n      partial: partial,\n      asterisk: !!asterisk,\n      pattern: pattern ? escapeGroup(pattern) : asterisk ? '.*' : '[^' + escapeString(delimiter) + ']+?'\n    });\n  }\n\n  // Match any characters still remaining.\n  if (index < str.length) {\n    path += str.substr(index);\n  }\n\n  // If the path exists, push it onto the end.\n  if (path) {\n    tokens.push(path);\n  }\n  return tokens;\n}\n\n/**\n * Compile a string to a template function for the path.\n *\n * @param  {string}             str\n * @param  {Object=}            options\n * @return {!function(Object=, Object=)}\n */\nfunction compile(str, options) {\n  return tokensToFunction(parse(str, options), options);\n}\n\n/**\n * Prettier encoding of URI path segments.\n *\n * @param  {string}\n * @return {string}\n */\nfunction encodeURIComponentPretty(str) {\n  return encodeURI(str).replace(/[\\/?#]/g, function (c) {\n    return '%' + c.charCodeAt(0).toString(16).toUpperCase();\n  });\n}\n\n/**\n * Encode the asterisk parameter. Similar to `pretty`, but allows slashes.\n *\n * @param  {string}\n * @return {string}\n */\nfunction encodeAsterisk(str) {\n  return encodeURI(str).replace(/[?#]/g, function (c) {\n    return '%' + c.charCodeAt(0).toString(16).toUpperCase();\n  });\n}\n\n/**\n * Expose a method for transforming tokens into the path function.\n */\nfunction tokensToFunction(tokens, options) {\n  // Compile all the tokens into regexps.\n  var matches = new Array(tokens.length);\n\n  // Compile all the patterns before compilation.\n  for (var i = 0; i < tokens.length; i++) {\n    if (typeof tokens[i] === 'object') {\n      matches[i] = new RegExp('^(?:' + tokens[i].pattern + ')$', flags(options));\n    }\n  }\n  return function (obj, opts) {\n    var path = '';\n    var data = obj || {};\n    var options = opts || {};\n    var encode = options.pretty ? encodeURIComponentPretty : encodeURIComponent;\n    for (var i = 0; i < tokens.length; i++) {\n      var token = tokens[i];\n      if (typeof token === 'string') {\n        path += token;\n        continue;\n      }\n      var value = data[token.name];\n      var segment;\n      if (value == null) {\n        if (token.optional) {\n          // Prepend partial segment prefixes.\n          if (token.partial) {\n            path += token.prefix;\n          }\n          continue;\n        } else {\n          throw new TypeError('Expected \"' + token.name + '\" to be defined');\n        }\n      }\n      if (isarray(value)) {\n        if (!token.repeat) {\n          throw new TypeError('Expected \"' + token.name + '\" to not repeat, but received `' + JSON.stringify(value) + '`');\n        }\n        if (value.length === 0) {\n          if (token.optional) {\n            continue;\n          } else {\n            throw new TypeError('Expected \"' + token.name + '\" to not be empty');\n          }\n        }\n        for (var j = 0; j < value.length; j++) {\n          segment = encode(value[j]);\n          if (!matches[i].test(segment)) {\n            throw new TypeError('Expected all \"' + token.name + '\" to match \"' + token.pattern + '\", but received `' + JSON.stringify(segment) + '`');\n          }\n          path += (j === 0 ? token.prefix : token.delimiter) + segment;\n        }\n        continue;\n      }\n      segment = token.asterisk ? encodeAsterisk(value) : encode(value);\n      if (!matches[i].test(segment)) {\n        throw new TypeError('Expected \"' + token.name + '\" to match \"' + token.pattern + '\", but received \"' + segment + '\"');\n      }\n      path += token.prefix + segment;\n    }\n    return path;\n  };\n}\n\n/**\n * Escape a regular expression string.\n *\n * @param  {string} str\n * @return {string}\n */\nfunction escapeString(str) {\n  return str.replace(/([.+*?=^!:${}()[\\]|\\/\\\\])/g, '\\\\$1');\n}\n\n/**\n * Escape the capturing group by escaping special characters and meaning.\n *\n * @param  {string} group\n * @return {string}\n */\nfunction escapeGroup(group) {\n  return group.replace(/([=!:$\\/()])/g, '\\\\$1');\n}\n\n/**\n * Attach the keys as a property of the regexp.\n *\n * @param  {!RegExp} re\n * @param  {Array}   keys\n * @return {!RegExp}\n */\nfunction attachKeys(re, keys) {\n  re.keys = keys;\n  return re;\n}\n\n/**\n * Get the flags for a regexp from the options.\n *\n * @param  {Object} options\n * @return {string}\n */\nfunction flags(options) {\n  return options && options.sensitive ? '' : 'i';\n}\n\n/**\n * Pull out keys from a regexp.\n *\n * @param  {!RegExp} path\n * @param  {!Array}  keys\n * @return {!RegExp}\n */\nfunction regexpToRegexp(path, keys) {\n  // Use a negative lookahead to match only capturing groups.\n  var groups = path.source.match(/\\((?!\\?)/g);\n  if (groups) {\n    for (var i = 0; i < groups.length; i++) {\n      keys.push({\n        name: i,\n        prefix: null,\n        delimiter: null,\n        optional: false,\n        repeat: false,\n        partial: false,\n        asterisk: false,\n        pattern: null\n      });\n    }\n  }\n  return attachKeys(path, keys);\n}\n\n/**\n * Transform an array into a regexp.\n *\n * @param  {!Array}  path\n * @param  {Array}   keys\n * @param  {!Object} options\n * @return {!RegExp}\n */\nfunction arrayToRegexp(path, keys, options) {\n  var parts = [];\n  for (var i = 0; i < path.length; i++) {\n    parts.push(pathToRegexp(path[i], keys, options).source);\n  }\n  var regexp = new RegExp('(?:' + parts.join('|') + ')', flags(options));\n  return attachKeys(regexp, keys);\n}\n\n/**\n * Create a path regexp from string input.\n *\n * @param  {string}  path\n * @param  {!Array}  keys\n * @param  {!Object} options\n * @return {!RegExp}\n */\nfunction stringToRegexp(path, keys, options) {\n  return tokensToRegExp(parse(path, options), keys, options);\n}\n\n/**\n * Expose a function for taking tokens and returning a RegExp.\n *\n * @param  {!Array}          tokens\n * @param  {(Array|Object)=} keys\n * @param  {Object=}         options\n * @return {!RegExp}\n */\nfunction tokensToRegExp(tokens, keys, options) {\n  if (!isarray(keys)) {\n    options = /** @type {!Object} */keys || options;\n    keys = [];\n  }\n  options = options || {};\n  var strict = options.strict;\n  var end = options.end !== false;\n  var route = '';\n\n  // Iterate over the tokens and create our regexp string.\n  for (var i = 0; i < tokens.length; i++) {\n    var token = tokens[i];\n    if (typeof token === 'string') {\n      route += escapeString(token);\n    } else {\n      var prefix = escapeString(token.prefix);\n      var capture = '(?:' + token.pattern + ')';\n      keys.push(token);\n      if (token.repeat) {\n        capture += '(?:' + prefix + capture + ')*';\n      }\n      if (token.optional) {\n        if (!token.partial) {\n          capture = '(?:' + prefix + '(' + capture + '))?';\n        } else {\n          capture = prefix + '(' + capture + ')?';\n        }\n      } else {\n        capture = prefix + '(' + capture + ')';\n      }\n      route += capture;\n    }\n  }\n  var delimiter = escapeString(options.delimiter || '/');\n  var endsWithDelimiter = route.slice(-delimiter.length) === delimiter;\n\n  // In non-strict mode we allow a slash at the end of match. If the path to\n  // match already ends with a slash, we remove it for consistency. The slash\n  // is valid at the end of a path match, not in the middle. This is important\n  // in non-ending mode, where \"/test/\" shouldn't match \"/test//route\".\n  if (!strict) {\n    route = (endsWithDelimiter ? route.slice(0, -delimiter.length) : route) + '(?:' + delimiter + '(?=$))?';\n  }\n  if (end) {\n    route += '$';\n  } else {\n    // In non-ending mode, we need the capturing groups to match as much as\n    // possible by using a positive lookahead to the end or next path segment.\n    route += strict && endsWithDelimiter ? '' : '(?=' + delimiter + '|$)';\n  }\n  return attachKeys(new RegExp('^' + route, flags(options)), keys);\n}\n\n/**\n * Normalize the given path string, returning a regular expression.\n *\n * An empty array can be passed in for the keys, which will hold the\n * placeholder key descriptions. For example, using `/user/:id`, `keys` will\n * contain `[{ name: 'id', delimiter: '/', optional: false, repeat: false }]`.\n *\n * @param  {(string|RegExp|Array)} path\n * @param  {(Array|Object)=}       keys\n * @param  {Object=}               options\n * @return {!RegExp}\n */\nfunction pathToRegexp(path, keys, options) {\n  if (!isarray(keys)) {\n    options = /** @type {!Object} */keys || options;\n    keys = [];\n  }\n  options = options || {};\n  if (path instanceof RegExp) {\n    return regexpToRegexp(path, /** @type {!Array} */keys);\n  }\n  if (isarray(path)) {\n    return arrayToRegexp( /** @type {!Array} */path, /** @type {!Array} */keys, options);\n  }\n  return stringToRegexp( /** @type {string} */path, /** @type {!Array} */keys, options);\n}\npathToRegexp_1.parse = parse_1;\npathToRegexp_1.compile = compile_1;\npathToRegexp_1.tokensToFunction = tokensToFunction_1;\npathToRegexp_1.tokensToRegExp = tokensToRegExp_1;\n\n/*  */\n\n// $flow-disable-line\nvar regexpCompileCache = Object.create(null);\nfunction fillParams(path, params, routeMsg) {\n  params = params || {};\n  try {\n    var filler = regexpCompileCache[path] || (regexpCompileCache[path] = pathToRegexp_1.compile(path));\n\n    // Fix #2505 resolving asterisk routes { name: 'not-found', params: { pathMatch: '/not-found' }}\n    // and fix #3106 so that you can work with location descriptor object having params.pathMatch equal to empty string\n    if (typeof params.pathMatch === 'string') {\n      params[0] = params.pathMatch;\n    }\n    return filler(params, {\n      pretty: true\n    });\n  } catch (e) {\n    if (true) {\n      // Fix #3072 no warn if `pathMatch` is string\n      warn(typeof params.pathMatch === 'string', \"missing param for \" + routeMsg + \": \" + e.message);\n    }\n    return '';\n  } finally {\n    // delete the 0 if it was added\n    delete params[0];\n  }\n}\n\n/*  */\n\nfunction normalizeLocation(raw, current, append, router) {\n  var next = typeof raw === 'string' ? {\n    path: raw\n  } : raw;\n  // named target\n  if (next._normalized) {\n    return next;\n  } else if (next.name) {\n    next = extend({}, raw);\n    var params = next.params;\n    if (params && typeof params === 'object') {\n      next.params = extend({}, params);\n    }\n    return next;\n  }\n\n  // relative params\n  if (!next.path && next.params && current) {\n    next = extend({}, next);\n    next._normalized = true;\n    var params$1 = extend(extend({}, current.params), next.params);\n    if (current.name) {\n      next.name = current.name;\n      next.params = params$1;\n    } else if (current.matched.length) {\n      var rawPath = current.matched[current.matched.length - 1].path;\n      next.path = fillParams(rawPath, params$1, \"path \" + current.path);\n    } else if (true) {\n      warn(false, \"relative params navigation requires a current route.\");\n    }\n    return next;\n  }\n  var parsedPath = parsePath(next.path || '');\n  var basePath = current && current.path || '/';\n  var path = parsedPath.path ? resolvePath(parsedPath.path, basePath, append || next.append) : basePath;\n  var query = resolveQuery(parsedPath.query, next.query, router && router.options.parseQuery);\n  var hash = next.hash || parsedPath.hash;\n  if (hash && hash.charAt(0) !== '#') {\n    hash = \"#\" + hash;\n  }\n  return {\n    _normalized: true,\n    path: path,\n    query: query,\n    hash: hash\n  };\n}\n\n/*  */\n\n// work around weird flow bug\nvar toTypes = [String, Object];\nvar eventTypes = [String, Array];\nvar noop = function () {};\nvar warnedCustomSlot;\nvar warnedTagProp;\nvar warnedEventProp;\nvar Link = {\n  name: 'RouterLink',\n  props: {\n    to: {\n      type: toTypes,\n      required: true\n    },\n    tag: {\n      type: String,\n      default: 'a'\n    },\n    custom: Boolean,\n    exact: Boolean,\n    exactPath: Boolean,\n    append: Boolean,\n    replace: Boolean,\n    activeClass: String,\n    exactActiveClass: String,\n    ariaCurrentValue: {\n      type: String,\n      default: 'page'\n    },\n    event: {\n      type: eventTypes,\n      default: 'click'\n    }\n  },\n  render: function render(h) {\n    var this$1$1 = this;\n    var router = this.$router;\n    var current = this.$route;\n    var ref = router.resolve(this.to, current, this.append);\n    var location = ref.location;\n    var route = ref.route;\n    var href = ref.href;\n    var classes = {};\n    var globalActiveClass = router.options.linkActiveClass;\n    var globalExactActiveClass = router.options.linkExactActiveClass;\n    // Support global empty active class\n    var activeClassFallback = globalActiveClass == null ? 'router-link-active' : globalActiveClass;\n    var exactActiveClassFallback = globalExactActiveClass == null ? 'router-link-exact-active' : globalExactActiveClass;\n    var activeClass = this.activeClass == null ? activeClassFallback : this.activeClass;\n    var exactActiveClass = this.exactActiveClass == null ? exactActiveClassFallback : this.exactActiveClass;\n    var compareTarget = route.redirectedFrom ? createRoute(null, normalizeLocation(route.redirectedFrom), null, router) : route;\n    classes[exactActiveClass] = isSameRoute(current, compareTarget, this.exactPath);\n    classes[activeClass] = this.exact || this.exactPath ? classes[exactActiveClass] : isIncludedRoute(current, compareTarget);\n    var ariaCurrentValue = classes[exactActiveClass] ? this.ariaCurrentValue : null;\n    var handler = function (e) {\n      if (guardEvent(e)) {\n        if (this$1$1.replace) {\n          router.replace(location, noop);\n        } else {\n          router.push(location, noop);\n        }\n      }\n    };\n    var on = {\n      click: guardEvent\n    };\n    if (Array.isArray(this.event)) {\n      this.event.forEach(function (e) {\n        on[e] = handler;\n      });\n    } else {\n      on[this.event] = handler;\n    }\n    var data = {\n      class: classes\n    };\n    var scopedSlot = !this.$scopedSlots.$hasNormal && this.$scopedSlots.default && this.$scopedSlots.default({\n      href: href,\n      route: route,\n      navigate: handler,\n      isActive: classes[activeClass],\n      isExactActive: classes[exactActiveClass]\n    });\n    if (scopedSlot) {\n      if ( true && !this.custom) {\n        !warnedCustomSlot && warn(false, 'In Vue Router 4, the v-slot API will by default wrap its content with an <a> element. Use the custom prop to remove this warning:\\n<router-link v-slot=\"{ navigate, href }\" custom></router-link>\\n');\n        warnedCustomSlot = true;\n      }\n      if (scopedSlot.length === 1) {\n        return scopedSlot[0];\n      } else if (scopedSlot.length > 1 || !scopedSlot.length) {\n        if (true) {\n          warn(false, \"<router-link> with to=\\\"\" + this.to + \"\\\" is trying to use a scoped slot but it didn't provide exactly one child. Wrapping the content with a span element.\");\n        }\n        return scopedSlot.length === 0 ? h() : h('span', {}, scopedSlot);\n      }\n    }\n    if (true) {\n      if ('tag' in this.$options.propsData && !warnedTagProp) {\n        warn(false, \"<router-link>'s tag prop is deprecated and has been removed in Vue Router 4. Use the v-slot API to remove this warning: https://next.router.vuejs.org/guide/migration/#removal-of-event-and-tag-props-in-router-link.\");\n        warnedTagProp = true;\n      }\n      if ('event' in this.$options.propsData && !warnedEventProp) {\n        warn(false, \"<router-link>'s event prop is deprecated and has been removed in Vue Router 4. Use the v-slot API to remove this warning: https://next.router.vuejs.org/guide/migration/#removal-of-event-and-tag-props-in-router-link.\");\n        warnedEventProp = true;\n      }\n    }\n    if (this.tag === 'a') {\n      data.on = on;\n      data.attrs = {\n        href: href,\n        'aria-current': ariaCurrentValue\n      };\n    } else {\n      // find the first <a> child and apply listener and href\n      var a = findAnchor(this.$slots.default);\n      if (a) {\n        // in case the <a> is a static node\n        a.isStatic = false;\n        var aData = a.data = extend({}, a.data);\n        aData.on = aData.on || {};\n        // transform existing events in both objects into arrays so we can push later\n        for (var event in aData.on) {\n          var handler$1 = aData.on[event];\n          if (event in on) {\n            aData.on[event] = Array.isArray(handler$1) ? handler$1 : [handler$1];\n          }\n        }\n        // append new listeners for router-link\n        for (var event$1 in on) {\n          if (event$1 in aData.on) {\n            // on[event] is always a function\n            aData.on[event$1].push(on[event$1]);\n          } else {\n            aData.on[event$1] = handler;\n          }\n        }\n        var aAttrs = a.data.attrs = extend({}, a.data.attrs);\n        aAttrs.href = href;\n        aAttrs['aria-current'] = ariaCurrentValue;\n      } else {\n        // doesn't have <a> child, apply listener to self\n        data.on = on;\n      }\n    }\n    return h(this.tag, data, this.$slots.default);\n  }\n};\nfunction guardEvent(e) {\n  // don't redirect with control keys\n  if (e.metaKey || e.altKey || e.ctrlKey || e.shiftKey) {\n    return;\n  }\n  // don't redirect when preventDefault called\n  if (e.defaultPrevented) {\n    return;\n  }\n  // don't redirect on right click\n  if (e.button !== undefined && e.button !== 0) {\n    return;\n  }\n  // don't redirect if `target=\"_blank\"`\n  if (e.currentTarget && e.currentTarget.getAttribute) {\n    var target = e.currentTarget.getAttribute('target');\n    if (/\\b_blank\\b/i.test(target)) {\n      return;\n    }\n  }\n  // this may be a Weex event which doesn't have this method\n  if (e.preventDefault) {\n    e.preventDefault();\n  }\n  return true;\n}\nfunction findAnchor(children) {\n  if (children) {\n    var child;\n    for (var i = 0; i < children.length; i++) {\n      child = children[i];\n      if (child.tag === 'a') {\n        return child;\n      }\n      if (child.children && (child = findAnchor(child.children))) {\n        return child;\n      }\n    }\n  }\n}\nvar _Vue;\nfunction install(Vue) {\n  if (install.installed && _Vue === Vue) {\n    return;\n  }\n  install.installed = true;\n  _Vue = Vue;\n  var isDef = function (v) {\n    return v !== undefined;\n  };\n  var registerInstance = function (vm, callVal) {\n    var i = vm.$options._parentVnode;\n    if (isDef(i) && isDef(i = i.data) && isDef(i = i.registerRouteInstance)) {\n      i(vm, callVal);\n    }\n  };\n  Vue.mixin({\n    beforeCreate: function beforeCreate() {\n      if (isDef(this.$options.router)) {\n        this._routerRoot = this;\n        this._router = this.$options.router;\n        this._router.init(this);\n        Vue.util.defineReactive(this, '_route', this._router.history.current);\n      } else {\n        this._routerRoot = this.$parent && this.$parent._routerRoot || this;\n      }\n      registerInstance(this, this);\n    },\n    destroyed: function destroyed() {\n      registerInstance(this);\n    }\n  });\n  Object.defineProperty(Vue.prototype, '$router', {\n    get: function get() {\n      return this._routerRoot._router;\n    }\n  });\n  Object.defineProperty(Vue.prototype, '$route', {\n    get: function get() {\n      return this._routerRoot._route;\n    }\n  });\n  Vue.component('RouterView', View);\n  Vue.component('RouterLink', Link);\n  var strats = Vue.config.optionMergeStrategies;\n  // use the same hook merging strategy for route hooks\n  strats.beforeRouteEnter = strats.beforeRouteLeave = strats.beforeRouteUpdate = strats.created;\n}\n\n/*  */\n\nvar inBrowser = typeof window !== 'undefined';\n\n/*  */\n\nfunction createRouteMap(routes, oldPathList, oldPathMap, oldNameMap, parentRoute) {\n  // the path list is used to control path matching priority\n  var pathList = oldPathList || [];\n  // $flow-disable-line\n  var pathMap = oldPathMap || Object.create(null);\n  // $flow-disable-line\n  var nameMap = oldNameMap || Object.create(null);\n  routes.forEach(function (route) {\n    addRouteRecord(pathList, pathMap, nameMap, route, parentRoute);\n  });\n\n  // ensure wildcard routes are always at the end\n  for (var i = 0, l = pathList.length; i < l; i++) {\n    if (pathList[i] === '*') {\n      pathList.push(pathList.splice(i, 1)[0]);\n      l--;\n      i--;\n    }\n  }\n  if (true) {\n    // warn if routes do not include leading slashes\n    var found = pathList\n    // check for missing leading slash\n    .filter(function (path) {\n      return path && path.charAt(0) !== '*' && path.charAt(0) !== '/';\n    });\n    if (found.length > 0) {\n      var pathNames = found.map(function (path) {\n        return \"- \" + path;\n      }).join('\\n');\n      warn(false, \"Non-nested routes must include a leading slash character. Fix the following routes: \\n\" + pathNames);\n    }\n  }\n  return {\n    pathList: pathList,\n    pathMap: pathMap,\n    nameMap: nameMap\n  };\n}\nfunction addRouteRecord(pathList, pathMap, nameMap, route, parent, matchAs) {\n  var path = route.path;\n  var name = route.name;\n  if (true) {\n    assert(path != null, \"\\\"path\\\" is required in a route configuration.\");\n    assert(typeof route.component !== 'string', \"route config \\\"component\\\" for path: \" + String(path || name) + \" cannot be a \" + \"string id. Use an actual component instead.\");\n    warn(\n    // eslint-disable-next-line no-control-regex\n    !/[^\\u0000-\\u007F]+/.test(path), \"Route with path \\\"\" + path + \"\\\" contains unencoded characters, make sure \" + \"your path is correctly encoded before passing it to the router. Use \" + \"encodeURI to encode static segments of your path.\");\n  }\n  var pathToRegexpOptions = route.pathToRegexpOptions || {};\n  var normalizedPath = normalizePath(path, parent, pathToRegexpOptions.strict);\n  if (typeof route.caseSensitive === 'boolean') {\n    pathToRegexpOptions.sensitive = route.caseSensitive;\n  }\n  var record = {\n    path: normalizedPath,\n    regex: compileRouteRegex(normalizedPath, pathToRegexpOptions),\n    components: route.components || {\n      default: route.component\n    },\n    alias: route.alias ? typeof route.alias === 'string' ? [route.alias] : route.alias : [],\n    instances: {},\n    enteredCbs: {},\n    name: name,\n    parent: parent,\n    matchAs: matchAs,\n    redirect: route.redirect,\n    beforeEnter: route.beforeEnter,\n    meta: route.meta || {},\n    props: route.props == null ? {} : route.components ? route.props : {\n      default: route.props\n    }\n  };\n  if (route.children) {\n    // Warn if route is named, does not redirect and has a default child route.\n    // If users navigate to this route by name, the default child will\n    // not be rendered (GH Issue #629)\n    if (true) {\n      if (route.name && !route.redirect && route.children.some(function (child) {\n        return /^\\/?$/.test(child.path);\n      })) {\n        warn(false, \"Named Route '\" + route.name + \"' has a default child route. \" + \"When navigating to this named route (:to=\\\"{name: '\" + route.name + \"'}\\\"), \" + \"the default child route will not be rendered. Remove the name from \" + \"this route and use the name of the default child route for named \" + \"links instead.\");\n      }\n    }\n    route.children.forEach(function (child) {\n      var childMatchAs = matchAs ? cleanPath(matchAs + \"/\" + child.path) : undefined;\n      addRouteRecord(pathList, pathMap, nameMap, child, record, childMatchAs);\n    });\n  }\n  if (!pathMap[record.path]) {\n    pathList.push(record.path);\n    pathMap[record.path] = record;\n  }\n  if (route.alias !== undefined) {\n    var aliases = Array.isArray(route.alias) ? route.alias : [route.alias];\n    for (var i = 0; i < aliases.length; ++i) {\n      var alias = aliases[i];\n      if ( true && alias === path) {\n        warn(false, \"Found an alias with the same value as the path: \\\"\" + path + \"\\\". You have to remove that alias. It will be ignored in development.\");\n        // skip in dev to make it work\n        continue;\n      }\n      var aliasRoute = {\n        path: alias,\n        children: route.children\n      };\n      addRouteRecord(pathList, pathMap, nameMap, aliasRoute, parent, record.path || '/' // matchAs\n      );\n    }\n  }\n\n  if (name) {\n    if (!nameMap[name]) {\n      nameMap[name] = record;\n    } else if ( true && !matchAs) {\n      warn(false, \"Duplicate named routes definition: \" + \"{ name: \\\"\" + name + \"\\\", path: \\\"\" + record.path + \"\\\" }\");\n    }\n  }\n}\nfunction compileRouteRegex(path, pathToRegexpOptions) {\n  var regex = pathToRegexp_1(path, [], pathToRegexpOptions);\n  if (true) {\n    var keys = Object.create(null);\n    regex.keys.forEach(function (key) {\n      warn(!keys[key.name], \"Duplicate param keys in route with path: \\\"\" + path + \"\\\"\");\n      keys[key.name] = true;\n    });\n  }\n  return regex;\n}\nfunction normalizePath(path, parent, strict) {\n  if (!strict) {\n    path = path.replace(/\\/$/, '');\n  }\n  if (path[0] === '/') {\n    return path;\n  }\n  if (parent == null) {\n    return path;\n  }\n  return cleanPath(parent.path + \"/\" + path);\n}\n\n/*  */\n\nfunction createMatcher(routes, router) {\n  var ref = createRouteMap(routes);\n  var pathList = ref.pathList;\n  var pathMap = ref.pathMap;\n  var nameMap = ref.nameMap;\n  function addRoutes(routes) {\n    createRouteMap(routes, pathList, pathMap, nameMap);\n  }\n  function addRoute(parentOrRoute, route) {\n    var parent = typeof parentOrRoute !== 'object' ? nameMap[parentOrRoute] : undefined;\n    // $flow-disable-line\n    createRouteMap([route || parentOrRoute], pathList, pathMap, nameMap, parent);\n\n    // add aliases of parent\n    if (parent && parent.alias.length) {\n      createRouteMap(\n      // $flow-disable-line route is defined if parent is\n      parent.alias.map(function (alias) {\n        return {\n          path: alias,\n          children: [route]\n        };\n      }), pathList, pathMap, nameMap, parent);\n    }\n  }\n  function getRoutes() {\n    return pathList.map(function (path) {\n      return pathMap[path];\n    });\n  }\n  function match(raw, currentRoute, redirectedFrom) {\n    var location = normalizeLocation(raw, currentRoute, false, router);\n    var name = location.name;\n    if (name) {\n      var record = nameMap[name];\n      if (true) {\n        warn(record, \"Route with name '\" + name + \"' does not exist\");\n      }\n      if (!record) {\n        return _createRoute(null, location);\n      }\n      var paramNames = record.regex.keys.filter(function (key) {\n        return !key.optional;\n      }).map(function (key) {\n        return key.name;\n      });\n      if (typeof location.params !== 'object') {\n        location.params = {};\n      }\n      if (currentRoute && typeof currentRoute.params === 'object') {\n        for (var key in currentRoute.params) {\n          if (!(key in location.params) && paramNames.indexOf(key) > -1) {\n            location.params[key] = currentRoute.params[key];\n          }\n        }\n      }\n      location.path = fillParams(record.path, location.params, \"named route \\\"\" + name + \"\\\"\");\n      return _createRoute(record, location, redirectedFrom);\n    } else if (location.path) {\n      location.params = {};\n      for (var i = 0; i < pathList.length; i++) {\n        var path = pathList[i];\n        var record$1 = pathMap[path];\n        if (matchRoute(record$1.regex, location.path, location.params)) {\n          return _createRoute(record$1, location, redirectedFrom);\n        }\n      }\n    }\n    // no match\n    return _createRoute(null, location);\n  }\n  function redirect(record, location) {\n    var originalRedirect = record.redirect;\n    var redirect = typeof originalRedirect === 'function' ? originalRedirect(createRoute(record, location, null, router)) : originalRedirect;\n    if (typeof redirect === 'string') {\n      redirect = {\n        path: redirect\n      };\n    }\n    if (!redirect || typeof redirect !== 'object') {\n      if (true) {\n        warn(false, \"invalid redirect option: \" + JSON.stringify(redirect));\n      }\n      return _createRoute(null, location);\n    }\n    var re = redirect;\n    var name = re.name;\n    var path = re.path;\n    var query = location.query;\n    var hash = location.hash;\n    var params = location.params;\n    query = re.hasOwnProperty('query') ? re.query : query;\n    hash = re.hasOwnProperty('hash') ? re.hash : hash;\n    params = re.hasOwnProperty('params') ? re.params : params;\n    if (name) {\n      // resolved named direct\n      var targetRecord = nameMap[name];\n      if (true) {\n        assert(targetRecord, \"redirect failed: named route \\\"\" + name + \"\\\" not found.\");\n      }\n      return match({\n        _normalized: true,\n        name: name,\n        query: query,\n        hash: hash,\n        params: params\n      }, undefined, location);\n    } else if (path) {\n      // 1. resolve relative redirect\n      var rawPath = resolveRecordPath(path, record);\n      // 2. resolve params\n      var resolvedPath = fillParams(rawPath, params, \"redirect route with path \\\"\" + rawPath + \"\\\"\");\n      // 3. rematch with existing query and hash\n      return match({\n        _normalized: true,\n        path: resolvedPath,\n        query: query,\n        hash: hash\n      }, undefined, location);\n    } else {\n      if (true) {\n        warn(false, \"invalid redirect option: \" + JSON.stringify(redirect));\n      }\n      return _createRoute(null, location);\n    }\n  }\n  function alias(record, location, matchAs) {\n    var aliasedPath = fillParams(matchAs, location.params, \"aliased route with path \\\"\" + matchAs + \"\\\"\");\n    var aliasedMatch = match({\n      _normalized: true,\n      path: aliasedPath\n    });\n    if (aliasedMatch) {\n      var matched = aliasedMatch.matched;\n      var aliasedRecord = matched[matched.length - 1];\n      location.params = aliasedMatch.params;\n      return _createRoute(aliasedRecord, location);\n    }\n    return _createRoute(null, location);\n  }\n  function _createRoute(record, location, redirectedFrom) {\n    if (record && record.redirect) {\n      return redirect(record, redirectedFrom || location);\n    }\n    if (record && record.matchAs) {\n      return alias(record, location, record.matchAs);\n    }\n    return createRoute(record, location, redirectedFrom, router);\n  }\n  return {\n    match: match,\n    addRoute: addRoute,\n    getRoutes: getRoutes,\n    addRoutes: addRoutes\n  };\n}\nfunction matchRoute(regex, path, params) {\n  var m = path.match(regex);\n  if (!m) {\n    return false;\n  } else if (!params) {\n    return true;\n  }\n  for (var i = 1, len = m.length; i < len; ++i) {\n    var key = regex.keys[i - 1];\n    if (key) {\n      // Fix #1994: using * with props: true generates a param named 0\n      params[key.name || 'pathMatch'] = typeof m[i] === 'string' ? decode(m[i]) : m[i];\n    }\n  }\n  return true;\n}\nfunction resolveRecordPath(path, record) {\n  return resolvePath(path, record.parent ? record.parent.path : '/', true);\n}\n\n/*  */\n\n// use User Timing api (if present) for more accurate key precision\nvar Time = inBrowser && window.performance && window.performance.now ? window.performance : Date;\nfunction genStateKey() {\n  return Time.now().toFixed(3);\n}\nvar _key = genStateKey();\nfunction getStateKey() {\n  return _key;\n}\nfunction setStateKey(key) {\n  return _key = key;\n}\n\n/*  */\n\nvar positionStore = Object.create(null);\nfunction setupScroll() {\n  // Prevent browser scroll behavior on History popstate\n  if ('scrollRestoration' in window.history) {\n    window.history.scrollRestoration = 'manual';\n  }\n  // Fix for #1585 for Firefox\n  // Fix for #2195 Add optional third attribute to workaround a bug in safari https://bugs.webkit.org/show_bug.cgi?id=182678\n  // Fix for #2774 Support for apps loaded from Windows file shares not mapped to network drives: replaced location.origin with\n  // window.location.protocol + '//' + window.location.host\n  // location.host contains the port and location.hostname doesn't\n  var protocolAndPath = window.location.protocol + '//' + window.location.host;\n  var absolutePath = window.location.href.replace(protocolAndPath, '');\n  // preserve existing history state as it could be overriden by the user\n  var stateCopy = extend({}, window.history.state);\n  stateCopy.key = getStateKey();\n  window.history.replaceState(stateCopy, '', absolutePath);\n  window.addEventListener('popstate', handlePopState);\n  return function () {\n    window.removeEventListener('popstate', handlePopState);\n  };\n}\nfunction handleScroll(router, to, from, isPop) {\n  if (!router.app) {\n    return;\n  }\n  var behavior = router.options.scrollBehavior;\n  if (!behavior) {\n    return;\n  }\n  if (true) {\n    assert(typeof behavior === 'function', \"scrollBehavior must be a function\");\n  }\n\n  // wait until re-render finishes before scrolling\n  router.app.$nextTick(function () {\n    var position = getScrollPosition();\n    var shouldScroll = behavior.call(router, to, from, isPop ? position : null);\n    if (!shouldScroll) {\n      return;\n    }\n    if (typeof shouldScroll.then === 'function') {\n      shouldScroll.then(function (shouldScroll) {\n        scrollToPosition(shouldScroll, position);\n      }).catch(function (err) {\n        if (true) {\n          assert(false, err.toString());\n        }\n      });\n    } else {\n      scrollToPosition(shouldScroll, position);\n    }\n  });\n}\nfunction saveScrollPosition() {\n  var key = getStateKey();\n  if (key) {\n    positionStore[key] = {\n      x: window.pageXOffset,\n      y: window.pageYOffset\n    };\n  }\n}\nfunction handlePopState(e) {\n  saveScrollPosition();\n  if (e.state && e.state.key) {\n    setStateKey(e.state.key);\n  }\n}\nfunction getScrollPosition() {\n  var key = getStateKey();\n  if (key) {\n    return positionStore[key];\n  }\n}\nfunction getElementPosition(el, offset) {\n  var docEl = document.documentElement;\n  var docRect = docEl.getBoundingClientRect();\n  var elRect = el.getBoundingClientRect();\n  return {\n    x: elRect.left - docRect.left - offset.x,\n    y: elRect.top - docRect.top - offset.y\n  };\n}\nfunction isValidPosition(obj) {\n  return isNumber(obj.x) || isNumber(obj.y);\n}\nfunction normalizePosition(obj) {\n  return {\n    x: isNumber(obj.x) ? obj.x : window.pageXOffset,\n    y: isNumber(obj.y) ? obj.y : window.pageYOffset\n  };\n}\nfunction normalizeOffset(obj) {\n  return {\n    x: isNumber(obj.x) ? obj.x : 0,\n    y: isNumber(obj.y) ? obj.y : 0\n  };\n}\nfunction isNumber(v) {\n  return typeof v === 'number';\n}\nvar hashStartsWithNumberRE = /^#\\d/;\nfunction scrollToPosition(shouldScroll, position) {\n  var isObject = typeof shouldScroll === 'object';\n  if (isObject && typeof shouldScroll.selector === 'string') {\n    // getElementById would still fail if the selector contains a more complicated query like #main[data-attr]\n    // but at the same time, it doesn't make much sense to select an element with an id and an extra selector\n    var el = hashStartsWithNumberRE.test(shouldScroll.selector) // $flow-disable-line\n    ? document.getElementById(shouldScroll.selector.slice(1)) // $flow-disable-line\n    : document.querySelector(shouldScroll.selector);\n    if (el) {\n      var offset = shouldScroll.offset && typeof shouldScroll.offset === 'object' ? shouldScroll.offset : {};\n      offset = normalizeOffset(offset);\n      position = getElementPosition(el, offset);\n    } else if (isValidPosition(shouldScroll)) {\n      position = normalizePosition(shouldScroll);\n    }\n  } else if (isObject && isValidPosition(shouldScroll)) {\n    position = normalizePosition(shouldScroll);\n  }\n  if (position) {\n    // $flow-disable-line\n    if ('scrollBehavior' in document.documentElement.style) {\n      window.scrollTo({\n        left: position.x,\n        top: position.y,\n        // $flow-disable-line\n        behavior: shouldScroll.behavior\n      });\n    } else {\n      window.scrollTo(position.x, position.y);\n    }\n  }\n}\n\n/*  */\n\nvar supportsPushState = inBrowser && function () {\n  var ua = window.navigator.userAgent;\n  if ((ua.indexOf('Android 2.') !== -1 || ua.indexOf('Android 4.0') !== -1) && ua.indexOf('Mobile Safari') !== -1 && ua.indexOf('Chrome') === -1 && ua.indexOf('Windows Phone') === -1) {\n    return false;\n  }\n  return window.history && typeof window.history.pushState === 'function';\n}();\nfunction pushState(url, replace) {\n  saveScrollPosition();\n  // try...catch the pushState call to get around Safari\n  // DOM Exception 18 where it limits to 100 pushState calls\n  var history = window.history;\n  try {\n    if (replace) {\n      // preserve existing history state as it could be overriden by the user\n      var stateCopy = extend({}, history.state);\n      stateCopy.key = getStateKey();\n      history.replaceState(stateCopy, '', url);\n    } else {\n      history.pushState({\n        key: setStateKey(genStateKey())\n      }, '', url);\n    }\n  } catch (e) {\n    window.location[replace ? 'replace' : 'assign'](url);\n  }\n}\nfunction replaceState(url) {\n  pushState(url, true);\n}\n\n// When changing thing, also edit router.d.ts\nvar NavigationFailureType = {\n  redirected: 2,\n  aborted: 4,\n  cancelled: 8,\n  duplicated: 16\n};\nfunction createNavigationRedirectedError(from, to) {\n  return createRouterError(from, to, NavigationFailureType.redirected, \"Redirected when going from \\\"\" + from.fullPath + \"\\\" to \\\"\" + stringifyRoute(to) + \"\\\" via a navigation guard.\");\n}\nfunction createNavigationDuplicatedError(from, to) {\n  var error = createRouterError(from, to, NavigationFailureType.duplicated, \"Avoided redundant navigation to current location: \\\"\" + from.fullPath + \"\\\".\");\n  // backwards compatible with the first introduction of Errors\n  error.name = 'NavigationDuplicated';\n  return error;\n}\nfunction createNavigationCancelledError(from, to) {\n  return createRouterError(from, to, NavigationFailureType.cancelled, \"Navigation cancelled from \\\"\" + from.fullPath + \"\\\" to \\\"\" + to.fullPath + \"\\\" with a new navigation.\");\n}\nfunction createNavigationAbortedError(from, to) {\n  return createRouterError(from, to, NavigationFailureType.aborted, \"Navigation aborted from \\\"\" + from.fullPath + \"\\\" to \\\"\" + to.fullPath + \"\\\" via a navigation guard.\");\n}\nfunction createRouterError(from, to, type, message) {\n  var error = new Error(message);\n  error._isRouter = true;\n  error.from = from;\n  error.to = to;\n  error.type = type;\n  return error;\n}\nvar propertiesToLog = ['params', 'query', 'hash'];\nfunction stringifyRoute(to) {\n  if (typeof to === 'string') {\n    return to;\n  }\n  if ('path' in to) {\n    return to.path;\n  }\n  var location = {};\n  propertiesToLog.forEach(function (key) {\n    if (key in to) {\n      location[key] = to[key];\n    }\n  });\n  return JSON.stringify(location, null, 2);\n}\nfunction isError(err) {\n  return Object.prototype.toString.call(err).indexOf('Error') > -1;\n}\nfunction isNavigationFailure(err, errorType) {\n  return isError(err) && err._isRouter && (errorType == null || err.type === errorType);\n}\n\n/*  */\n\nfunction runQueue(queue, fn, cb) {\n  var step = function (index) {\n    if (index >= queue.length) {\n      cb();\n    } else {\n      if (queue[index]) {\n        fn(queue[index], function () {\n          step(index + 1);\n        });\n      } else {\n        step(index + 1);\n      }\n    }\n  };\n  step(0);\n}\n\n/*  */\n\nfunction resolveAsyncComponents(matched) {\n  return function (to, from, next) {\n    var hasAsync = false;\n    var pending = 0;\n    var error = null;\n    flatMapComponents(matched, function (def, _, match, key) {\n      // if it's a function and doesn't have cid attached,\n      // assume it's an async component resolve function.\n      // we are not using Vue's default async resolving mechanism because\n      // we want to halt the navigation until the incoming component has been\n      // resolved.\n      if (typeof def === 'function' && def.cid === undefined) {\n        hasAsync = true;\n        pending++;\n        var resolve = once(function (resolvedDef) {\n          if (isESModule(resolvedDef)) {\n            resolvedDef = resolvedDef.default;\n          }\n          // save resolved on async factory in case it's used elsewhere\n          def.resolved = typeof resolvedDef === 'function' ? resolvedDef : _Vue.extend(resolvedDef);\n          match.components[key] = resolvedDef;\n          pending--;\n          if (pending <= 0) {\n            next();\n          }\n        });\n        var reject = once(function (reason) {\n          var msg = \"Failed to resolve async component \" + key + \": \" + reason;\n           true && warn(false, msg);\n          if (!error) {\n            error = isError(reason) ? reason : new Error(msg);\n            next(error);\n          }\n        });\n        var res;\n        try {\n          res = def(resolve, reject);\n        } catch (e) {\n          reject(e);\n        }\n        if (res) {\n          if (typeof res.then === 'function') {\n            res.then(resolve, reject);\n          } else {\n            // new syntax in Vue 2.3\n            var comp = res.component;\n            if (comp && typeof comp.then === 'function') {\n              comp.then(resolve, reject);\n            }\n          }\n        }\n      }\n    });\n    if (!hasAsync) {\n      next();\n    }\n  };\n}\nfunction flatMapComponents(matched, fn) {\n  return flatten(matched.map(function (m) {\n    return Object.keys(m.components).map(function (key) {\n      return fn(m.components[key], m.instances[key], m, key);\n    });\n  }));\n}\nfunction flatten(arr) {\n  return Array.prototype.concat.apply([], arr);\n}\nvar hasSymbol = typeof Symbol === 'function' && typeof Symbol.toStringTag === 'symbol';\nfunction isESModule(obj) {\n  return obj.__esModule || hasSymbol && obj[Symbol.toStringTag] === 'Module';\n}\n\n// in Webpack 2, require.ensure now also returns a Promise\n// so the resolve/reject functions may get called an extra time\n// if the user uses an arrow function shorthand that happens to\n// return that Promise.\nfunction once(fn) {\n  var called = false;\n  return function () {\n    var args = [],\n      len = arguments.length;\n    while (len--) args[len] = arguments[len];\n    if (called) {\n      return;\n    }\n    called = true;\n    return fn.apply(this, args);\n  };\n}\n\n/*  */\n\nvar History = function History(router, base) {\n  this.router = router;\n  this.base = normalizeBase(base);\n  // start with a route object that stands for \"nowhere\"\n  this.current = START;\n  this.pending = null;\n  this.ready = false;\n  this.readyCbs = [];\n  this.readyErrorCbs = [];\n  this.errorCbs = [];\n  this.listeners = [];\n};\nHistory.prototype.listen = function listen(cb) {\n  this.cb = cb;\n};\nHistory.prototype.onReady = function onReady(cb, errorCb) {\n  if (this.ready) {\n    cb();\n  } else {\n    this.readyCbs.push(cb);\n    if (errorCb) {\n      this.readyErrorCbs.push(errorCb);\n    }\n  }\n};\nHistory.prototype.onError = function onError(errorCb) {\n  this.errorCbs.push(errorCb);\n};\nHistory.prototype.transitionTo = function transitionTo(location, onComplete, onAbort) {\n  var this$1$1 = this;\n  var route;\n  // catch redirect option https://github.com/vuejs/vue-router/issues/3201\n  try {\n    route = this.router.match(location, this.current);\n  } catch (e) {\n    this.errorCbs.forEach(function (cb) {\n      cb(e);\n    });\n    // Exception should still be thrown\n    throw e;\n  }\n  var prev = this.current;\n  this.confirmTransition(route, function () {\n    this$1$1.updateRoute(route);\n    onComplete && onComplete(route);\n    this$1$1.ensureURL();\n    this$1$1.router.afterHooks.forEach(function (hook) {\n      hook && hook(route, prev);\n    });\n\n    // fire ready cbs once\n    if (!this$1$1.ready) {\n      this$1$1.ready = true;\n      this$1$1.readyCbs.forEach(function (cb) {\n        cb(route);\n      });\n    }\n  }, function (err) {\n    if (onAbort) {\n      onAbort(err);\n    }\n    if (err && !this$1$1.ready) {\n      // Initial redirection should not mark the history as ready yet\n      // because it's triggered by the redirection instead\n      // https://github.com/vuejs/vue-router/issues/3225\n      // https://github.com/vuejs/vue-router/issues/3331\n      if (!isNavigationFailure(err, NavigationFailureType.redirected) || prev !== START) {\n        this$1$1.ready = true;\n        this$1$1.readyErrorCbs.forEach(function (cb) {\n          cb(err);\n        });\n      }\n    }\n  });\n};\nHistory.prototype.confirmTransition = function confirmTransition(route, onComplete, onAbort) {\n  var this$1$1 = this;\n  var current = this.current;\n  this.pending = route;\n  var abort = function (err) {\n    // changed after adding errors with\n    // https://github.com/vuejs/vue-router/pull/3047 before that change,\n    // redirect and aborted navigation would produce an err == null\n    if (!isNavigationFailure(err) && isError(err)) {\n      if (this$1$1.errorCbs.length) {\n        this$1$1.errorCbs.forEach(function (cb) {\n          cb(err);\n        });\n      } else {\n        if (true) {\n          warn(false, 'uncaught error during route navigation:');\n        }\n        console.error(err);\n      }\n    }\n    onAbort && onAbort(err);\n  };\n  var lastRouteIndex = route.matched.length - 1;\n  var lastCurrentIndex = current.matched.length - 1;\n  if (isSameRoute(route, current) &&\n  // in the case the route map has been dynamically appended to\n  lastRouteIndex === lastCurrentIndex && route.matched[lastRouteIndex] === current.matched[lastCurrentIndex]) {\n    this.ensureURL();\n    if (route.hash) {\n      handleScroll(this.router, current, route, false);\n    }\n    return abort(createNavigationDuplicatedError(current, route));\n  }\n  var ref = resolveQueue(this.current.matched, route.matched);\n  var updated = ref.updated;\n  var deactivated = ref.deactivated;\n  var activated = ref.activated;\n  var queue = [].concat(\n  // in-component leave guards\n  extractLeaveGuards(deactivated),\n  // global before hooks\n  this.router.beforeHooks,\n  // in-component update hooks\n  extractUpdateHooks(updated),\n  // in-config enter guards\n  activated.map(function (m) {\n    return m.beforeEnter;\n  }),\n  // async components\n  resolveAsyncComponents(activated));\n  var iterator = function (hook, next) {\n    if (this$1$1.pending !== route) {\n      return abort(createNavigationCancelledError(current, route));\n    }\n    try {\n      hook(route, current, function (to) {\n        if (to === false) {\n          // next(false) -> abort navigation, ensure current URL\n          this$1$1.ensureURL(true);\n          abort(createNavigationAbortedError(current, route));\n        } else if (isError(to)) {\n          this$1$1.ensureURL(true);\n          abort(to);\n        } else if (typeof to === 'string' || typeof to === 'object' && (typeof to.path === 'string' || typeof to.name === 'string')) {\n          // next('/') or next({ path: '/' }) -> redirect\n          abort(createNavigationRedirectedError(current, route));\n          if (typeof to === 'object' && to.replace) {\n            this$1$1.replace(to);\n          } else {\n            this$1$1.push(to);\n          }\n        } else {\n          // confirm transition and pass on the value\n          next(to);\n        }\n      });\n    } catch (e) {\n      abort(e);\n    }\n  };\n  runQueue(queue, iterator, function () {\n    // wait until async components are resolved before\n    // extracting in-component enter guards\n    var enterGuards = extractEnterGuards(activated);\n    var queue = enterGuards.concat(this$1$1.router.resolveHooks);\n    runQueue(queue, iterator, function () {\n      if (this$1$1.pending !== route) {\n        return abort(createNavigationCancelledError(current, route));\n      }\n      this$1$1.pending = null;\n      onComplete(route);\n      if (this$1$1.router.app) {\n        this$1$1.router.app.$nextTick(function () {\n          handleRouteEntered(route);\n        });\n      }\n    });\n  });\n};\nHistory.prototype.updateRoute = function updateRoute(route) {\n  this.current = route;\n  this.cb && this.cb(route);\n};\nHistory.prototype.setupListeners = function setupListeners() {\n  // Default implementation is empty\n};\nHistory.prototype.teardown = function teardown() {\n  // clean up event listeners\n  // https://github.com/vuejs/vue-router/issues/2341\n  this.listeners.forEach(function (cleanupListener) {\n    cleanupListener();\n  });\n  this.listeners = [];\n\n  // reset current history route\n  // https://github.com/vuejs/vue-router/issues/3294\n  this.current = START;\n  this.pending = null;\n};\nfunction normalizeBase(base) {\n  if (!base) {\n    if (inBrowser) {\n      // respect <base> tag\n      var baseEl = document.querySelector('base');\n      base = baseEl && baseEl.getAttribute('href') || '/';\n      // strip full URL origin\n      base = base.replace(/^https?:\\/\\/[^\\/]+/, '');\n    } else {\n      base = '/';\n    }\n  }\n  // make sure there's the starting slash\n  if (base.charAt(0) !== '/') {\n    base = '/' + base;\n  }\n  // remove trailing slash\n  return base.replace(/\\/$/, '');\n}\nfunction resolveQueue(current, next) {\n  var i;\n  var max = Math.max(current.length, next.length);\n  for (i = 0; i < max; i++) {\n    if (current[i] !== next[i]) {\n      break;\n    }\n  }\n  return {\n    updated: next.slice(0, i),\n    activated: next.slice(i),\n    deactivated: current.slice(i)\n  };\n}\nfunction extractGuards(records, name, bind, reverse) {\n  var guards = flatMapComponents(records, function (def, instance, match, key) {\n    var guard = extractGuard(def, name);\n    if (guard) {\n      return Array.isArray(guard) ? guard.map(function (guard) {\n        return bind(guard, instance, match, key);\n      }) : bind(guard, instance, match, key);\n    }\n  });\n  return flatten(reverse ? guards.reverse() : guards);\n}\nfunction extractGuard(def, key) {\n  if (typeof def !== 'function') {\n    // extend now so that global mixins are applied.\n    def = _Vue.extend(def);\n  }\n  return def.options[key];\n}\nfunction extractLeaveGuards(deactivated) {\n  return extractGuards(deactivated, 'beforeRouteLeave', bindGuard, true);\n}\nfunction extractUpdateHooks(updated) {\n  return extractGuards(updated, 'beforeRouteUpdate', bindGuard);\n}\nfunction bindGuard(guard, instance) {\n  if (instance) {\n    return function boundRouteGuard() {\n      return guard.apply(instance, arguments);\n    };\n  }\n}\nfunction extractEnterGuards(activated) {\n  return extractGuards(activated, 'beforeRouteEnter', function (guard, _, match, key) {\n    return bindEnterGuard(guard, match, key);\n  });\n}\nfunction bindEnterGuard(guard, match, key) {\n  return function routeEnterGuard(to, from, next) {\n    return guard(to, from, function (cb) {\n      if (typeof cb === 'function') {\n        if (!match.enteredCbs[key]) {\n          match.enteredCbs[key] = [];\n        }\n        match.enteredCbs[key].push(cb);\n      }\n      next(cb);\n    });\n  };\n}\n\n/*  */\n\nvar HTML5History = /*@__PURE__*/function (History) {\n  function HTML5History(router, base) {\n    History.call(this, router, base);\n    this._startLocation = getLocation(this.base);\n  }\n  if (History) HTML5History.__proto__ = History;\n  HTML5History.prototype = Object.create(History && History.prototype);\n  HTML5History.prototype.constructor = HTML5History;\n  HTML5History.prototype.setupListeners = function setupListeners() {\n    var this$1$1 = this;\n    if (this.listeners.length > 0) {\n      return;\n    }\n    var router = this.router;\n    var expectScroll = router.options.scrollBehavior;\n    var supportsScroll = supportsPushState && expectScroll;\n    if (supportsScroll) {\n      this.listeners.push(setupScroll());\n    }\n    var handleRoutingEvent = function () {\n      var current = this$1$1.current;\n\n      // Avoiding first `popstate` event dispatched in some browsers but first\n      // history route not updated since async guard at the same time.\n      var location = getLocation(this$1$1.base);\n      if (this$1$1.current === START && location === this$1$1._startLocation) {\n        return;\n      }\n      this$1$1.transitionTo(location, function (route) {\n        if (supportsScroll) {\n          handleScroll(router, route, current, true);\n        }\n      });\n    };\n    window.addEventListener('popstate', handleRoutingEvent);\n    this.listeners.push(function () {\n      window.removeEventListener('popstate', handleRoutingEvent);\n    });\n  };\n  HTML5History.prototype.go = function go(n) {\n    window.history.go(n);\n  };\n  HTML5History.prototype.push = function push(location, onComplete, onAbort) {\n    var this$1$1 = this;\n    var ref = this;\n    var fromRoute = ref.current;\n    this.transitionTo(location, function (route) {\n      pushState(cleanPath(this$1$1.base + route.fullPath));\n      handleScroll(this$1$1.router, route, fromRoute, false);\n      onComplete && onComplete(route);\n    }, onAbort);\n  };\n  HTML5History.prototype.replace = function replace(location, onComplete, onAbort) {\n    var this$1$1 = this;\n    var ref = this;\n    var fromRoute = ref.current;\n    this.transitionTo(location, function (route) {\n      replaceState(cleanPath(this$1$1.base + route.fullPath));\n      handleScroll(this$1$1.router, route, fromRoute, false);\n      onComplete && onComplete(route);\n    }, onAbort);\n  };\n  HTML5History.prototype.ensureURL = function ensureURL(push) {\n    if (getLocation(this.base) !== this.current.fullPath) {\n      var current = cleanPath(this.base + this.current.fullPath);\n      push ? pushState(current) : replaceState(current);\n    }\n  };\n  HTML5History.prototype.getCurrentLocation = function getCurrentLocation() {\n    return getLocation(this.base);\n  };\n  return HTML5History;\n}(History);\nfunction getLocation(base) {\n  var path = window.location.pathname;\n  var pathLowerCase = path.toLowerCase();\n  var baseLowerCase = base.toLowerCase();\n  // base=\"/a\" shouldn't turn path=\"/app\" into \"/a/pp\"\n  // https://github.com/vuejs/vue-router/issues/3555\n  // so we ensure the trailing slash in the base\n  if (base && (pathLowerCase === baseLowerCase || pathLowerCase.indexOf(cleanPath(baseLowerCase + '/')) === 0)) {\n    path = path.slice(base.length);\n  }\n  return (path || '/') + window.location.search + window.location.hash;\n}\n\n/*  */\n\nvar HashHistory = /*@__PURE__*/function (History) {\n  function HashHistory(router, base, fallback) {\n    History.call(this, router, base);\n    // check history fallback deeplinking\n    if (fallback && checkFallback(this.base)) {\n      return;\n    }\n    ensureSlash();\n  }\n  if (History) HashHistory.__proto__ = History;\n  HashHistory.prototype = Object.create(History && History.prototype);\n  HashHistory.prototype.constructor = HashHistory;\n\n  // this is delayed until the app mounts\n  // to avoid the hashchange listener being fired too early\n  HashHistory.prototype.setupListeners = function setupListeners() {\n    var this$1$1 = this;\n    if (this.listeners.length > 0) {\n      return;\n    }\n    var router = this.router;\n    var expectScroll = router.options.scrollBehavior;\n    var supportsScroll = supportsPushState && expectScroll;\n    if (supportsScroll) {\n      this.listeners.push(setupScroll());\n    }\n    var handleRoutingEvent = function () {\n      var current = this$1$1.current;\n      if (!ensureSlash()) {\n        return;\n      }\n      this$1$1.transitionTo(getHash(), function (route) {\n        if (supportsScroll) {\n          handleScroll(this$1$1.router, route, current, true);\n        }\n        if (!supportsPushState) {\n          replaceHash(route.fullPath);\n        }\n      });\n    };\n    var eventType = supportsPushState ? 'popstate' : 'hashchange';\n    window.addEventListener(eventType, handleRoutingEvent);\n    this.listeners.push(function () {\n      window.removeEventListener(eventType, handleRoutingEvent);\n    });\n  };\n  HashHistory.prototype.push = function push(location, onComplete, onAbort) {\n    var this$1$1 = this;\n    var ref = this;\n    var fromRoute = ref.current;\n    this.transitionTo(location, function (route) {\n      pushHash(route.fullPath);\n      handleScroll(this$1$1.router, route, fromRoute, false);\n      onComplete && onComplete(route);\n    }, onAbort);\n  };\n  HashHistory.prototype.replace = function replace(location, onComplete, onAbort) {\n    var this$1$1 = this;\n    var ref = this;\n    var fromRoute = ref.current;\n    this.transitionTo(location, function (route) {\n      replaceHash(route.fullPath);\n      handleScroll(this$1$1.router, route, fromRoute, false);\n      onComplete && onComplete(route);\n    }, onAbort);\n  };\n  HashHistory.prototype.go = function go(n) {\n    window.history.go(n);\n  };\n  HashHistory.prototype.ensureURL = function ensureURL(push) {\n    var current = this.current.fullPath;\n    if (getHash() !== current) {\n      push ? pushHash(current) : replaceHash(current);\n    }\n  };\n  HashHistory.prototype.getCurrentLocation = function getCurrentLocation() {\n    return getHash();\n  };\n  return HashHistory;\n}(History);\nfunction checkFallback(base) {\n  var location = getLocation(base);\n  if (!/^\\/#/.test(location)) {\n    window.location.replace(cleanPath(base + '/#' + location));\n    return true;\n  }\n}\nfunction ensureSlash() {\n  var path = getHash();\n  if (path.charAt(0) === '/') {\n    return true;\n  }\n  replaceHash('/' + path);\n  return false;\n}\nfunction getHash() {\n  // We can't use window.location.hash here because it's not\n  // consistent across browsers - Firefox will pre-decode it!\n  var href = window.location.href;\n  var index = href.indexOf('#');\n  // empty path\n  if (index < 0) {\n    return '';\n  }\n  href = href.slice(index + 1);\n  return href;\n}\nfunction getUrl(path) {\n  var href = window.location.href;\n  var i = href.indexOf('#');\n  var base = i >= 0 ? href.slice(0, i) : href;\n  return base + \"#\" + path;\n}\nfunction pushHash(path) {\n  if (supportsPushState) {\n    pushState(getUrl(path));\n  } else {\n    window.location.hash = path;\n  }\n}\nfunction replaceHash(path) {\n  if (supportsPushState) {\n    replaceState(getUrl(path));\n  } else {\n    window.location.replace(getUrl(path));\n  }\n}\n\n/*  */\n\nvar AbstractHistory = /*@__PURE__*/function (History) {\n  function AbstractHistory(router, base) {\n    History.call(this, router, base);\n    this.stack = [];\n    this.index = -1;\n  }\n  if (History) AbstractHistory.__proto__ = History;\n  AbstractHistory.prototype = Object.create(History && History.prototype);\n  AbstractHistory.prototype.constructor = AbstractHistory;\n  AbstractHistory.prototype.push = function push(location, onComplete, onAbort) {\n    var this$1$1 = this;\n    this.transitionTo(location, function (route) {\n      this$1$1.stack = this$1$1.stack.slice(0, this$1$1.index + 1).concat(route);\n      this$1$1.index++;\n      onComplete && onComplete(route);\n    }, onAbort);\n  };\n  AbstractHistory.prototype.replace = function replace(location, onComplete, onAbort) {\n    var this$1$1 = this;\n    this.transitionTo(location, function (route) {\n      this$1$1.stack = this$1$1.stack.slice(0, this$1$1.index).concat(route);\n      onComplete && onComplete(route);\n    }, onAbort);\n  };\n  AbstractHistory.prototype.go = function go(n) {\n    var this$1$1 = this;\n    var targetIndex = this.index + n;\n    if (targetIndex < 0 || targetIndex >= this.stack.length) {\n      return;\n    }\n    var route = this.stack[targetIndex];\n    this.confirmTransition(route, function () {\n      var prev = this$1$1.current;\n      this$1$1.index = targetIndex;\n      this$1$1.updateRoute(route);\n      this$1$1.router.afterHooks.forEach(function (hook) {\n        hook && hook(route, prev);\n      });\n    }, function (err) {\n      if (isNavigationFailure(err, NavigationFailureType.duplicated)) {\n        this$1$1.index = targetIndex;\n      }\n    });\n  };\n  AbstractHistory.prototype.getCurrentLocation = function getCurrentLocation() {\n    var current = this.stack[this.stack.length - 1];\n    return current ? current.fullPath : '/';\n  };\n  AbstractHistory.prototype.ensureURL = function ensureURL() {\n    // noop\n  };\n  return AbstractHistory;\n}(History);\n\n/*  */\n\nvar VueRouter = function VueRouter(options) {\n  if (options === void 0) options = {};\n  if (true) {\n    warn(this instanceof VueRouter, \"Router must be called with the new operator.\");\n  }\n  this.app = null;\n  this.apps = [];\n  this.options = options;\n  this.beforeHooks = [];\n  this.resolveHooks = [];\n  this.afterHooks = [];\n  this.matcher = createMatcher(options.routes || [], this);\n  var mode = options.mode || 'hash';\n  this.fallback = mode === 'history' && !supportsPushState && options.fallback !== false;\n  if (this.fallback) {\n    mode = 'hash';\n  }\n  if (!inBrowser) {\n    mode = 'abstract';\n  }\n  this.mode = mode;\n  switch (mode) {\n    case 'history':\n      this.history = new HTML5History(this, options.base);\n      break;\n    case 'hash':\n      this.history = new HashHistory(this, options.base, this.fallback);\n      break;\n    case 'abstract':\n      this.history = new AbstractHistory(this, options.base);\n      break;\n    default:\n      if (true) {\n        assert(false, \"invalid mode: \" + mode);\n      }\n  }\n};\nvar prototypeAccessors = {\n  currentRoute: {\n    configurable: true\n  }\n};\nVueRouter.prototype.match = function match(raw, current, redirectedFrom) {\n  return this.matcher.match(raw, current, redirectedFrom);\n};\nprototypeAccessors.currentRoute.get = function () {\n  return this.history && this.history.current;\n};\nVueRouter.prototype.init = function init(app /* Vue component instance */) {\n  var this$1$1 = this;\n   true && assert(install.installed, \"not installed. Make sure to call `Vue.use(VueRouter)` \" + \"before creating root instance.\");\n  this.apps.push(app);\n\n  // set up app destroyed handler\n  // https://github.com/vuejs/vue-router/issues/2639\n  app.$once('hook:destroyed', function () {\n    // clean out app from this.apps array once destroyed\n    var index = this$1$1.apps.indexOf(app);\n    if (index > -1) {\n      this$1$1.apps.splice(index, 1);\n    }\n    // ensure we still have a main app or null if no apps\n    // we do not release the router so it can be reused\n    if (this$1$1.app === app) {\n      this$1$1.app = this$1$1.apps[0] || null;\n    }\n    if (!this$1$1.app) {\n      this$1$1.history.teardown();\n    }\n  });\n\n  // main app previously initialized\n  // return as we don't need to set up new history listener\n  if (this.app) {\n    return;\n  }\n  this.app = app;\n  var history = this.history;\n  if (history instanceof HTML5History || history instanceof HashHistory) {\n    var handleInitialScroll = function (routeOrError) {\n      var from = history.current;\n      var expectScroll = this$1$1.options.scrollBehavior;\n      var supportsScroll = supportsPushState && expectScroll;\n      if (supportsScroll && 'fullPath' in routeOrError) {\n        handleScroll(this$1$1, routeOrError, from, false);\n      }\n    };\n    var setupListeners = function (routeOrError) {\n      history.setupListeners();\n      handleInitialScroll(routeOrError);\n    };\n    history.transitionTo(history.getCurrentLocation(), setupListeners, setupListeners);\n  }\n  history.listen(function (route) {\n    this$1$1.apps.forEach(function (app) {\n      app._route = route;\n    });\n  });\n};\nVueRouter.prototype.beforeEach = function beforeEach(fn) {\n  return registerHook(this.beforeHooks, fn);\n};\nVueRouter.prototype.beforeResolve = function beforeResolve(fn) {\n  return registerHook(this.resolveHooks, fn);\n};\nVueRouter.prototype.afterEach = function afterEach(fn) {\n  return registerHook(this.afterHooks, fn);\n};\nVueRouter.prototype.onReady = function onReady(cb, errorCb) {\n  this.history.onReady(cb, errorCb);\n};\nVueRouter.prototype.onError = function onError(errorCb) {\n  this.history.onError(errorCb);\n};\nVueRouter.prototype.push = function push(location, onComplete, onAbort) {\n  var this$1$1 = this;\n\n  // $flow-disable-line\n  if (!onComplete && !onAbort && typeof Promise !== 'undefined') {\n    return new Promise(function (resolve, reject) {\n      this$1$1.history.push(location, resolve, reject);\n    });\n  } else {\n    this.history.push(location, onComplete, onAbort);\n  }\n};\nVueRouter.prototype.replace = function replace(location, onComplete, onAbort) {\n  var this$1$1 = this;\n\n  // $flow-disable-line\n  if (!onComplete && !onAbort && typeof Promise !== 'undefined') {\n    return new Promise(function (resolve, reject) {\n      this$1$1.history.replace(location, resolve, reject);\n    });\n  } else {\n    this.history.replace(location, onComplete, onAbort);\n  }\n};\nVueRouter.prototype.go = function go(n) {\n  this.history.go(n);\n};\nVueRouter.prototype.back = function back() {\n  this.go(-1);\n};\nVueRouter.prototype.forward = function forward() {\n  this.go(1);\n};\nVueRouter.prototype.getMatchedComponents = function getMatchedComponents(to) {\n  var route = to ? to.matched ? to : this.resolve(to).route : this.currentRoute;\n  if (!route) {\n    return [];\n  }\n  return [].concat.apply([], route.matched.map(function (m) {\n    return Object.keys(m.components).map(function (key) {\n      return m.components[key];\n    });\n  }));\n};\nVueRouter.prototype.resolve = function resolve(to, current, append) {\n  current = current || this.history.current;\n  var location = normalizeLocation(to, current, append, this);\n  var route = this.match(location, current);\n  var fullPath = route.redirectedFrom || route.fullPath;\n  var base = this.history.base;\n  var href = createHref(base, fullPath, this.mode);\n  return {\n    location: location,\n    route: route,\n    href: href,\n    // for backwards compat\n    normalizedTo: location,\n    resolved: route\n  };\n};\nVueRouter.prototype.getRoutes = function getRoutes() {\n  return this.matcher.getRoutes();\n};\nVueRouter.prototype.addRoute = function addRoute(parentOrRoute, route) {\n  this.matcher.addRoute(parentOrRoute, route);\n  if (this.history.current !== START) {\n    this.history.transitionTo(this.history.getCurrentLocation());\n  }\n};\nVueRouter.prototype.addRoutes = function addRoutes(routes) {\n  if (true) {\n    warn(false, 'router.addRoutes() is deprecated and has been removed in Vue Router 4. Use router.addRoute() instead.');\n  }\n  this.matcher.addRoutes(routes);\n  if (this.history.current !== START) {\n    this.history.transitionTo(this.history.getCurrentLocation());\n  }\n};\nObject.defineProperties(VueRouter.prototype, prototypeAccessors);\nvar VueRouter$1 = VueRouter;\nfunction registerHook(list, fn) {\n  list.push(fn);\n  return function () {\n    var i = list.indexOf(fn);\n    if (i > -1) {\n      list.splice(i, 1);\n    }\n  };\n}\nfunction createHref(base, fullPath, mode) {\n  var path = mode === 'hash' ? '#' + fullPath : fullPath;\n  return base ? cleanPath(base + '/' + path) : path;\n}\n\n// We cannot remove this as it would be a breaking change\nVueRouter.install = install;\nVueRouter.version = '3.6.5';\nVueRouter.isNavigationFailure = isNavigationFailure;\nVueRouter.NavigationFailureType = NavigationFailureType;\nVueRouter.START_LOCATION = START;\nif (inBrowser && window.Vue) {\n  window.Vue.use(VueRouter);\n}\nvar version = '3.6.5';\n\n\n//# sourceURL=webpack://JCM-AI/./node_modules/vue-router/dist/vue-router.esm.js?");
-
-/***/ }),
-
-/***/ "./node_modules/vue-style-loader/lib/listToStyles.js":
-/*!***********************************************************!*\
-  !*** ./node_modules/vue-style-loader/lib/listToStyles.js ***!
-  \***********************************************************/
-/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {
-
-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */   \"default\": function() { return /* binding */ listToStyles; }\n/* harmony export */ });\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__);\n\n/**\n * Translates the list format produced by css-loader into something\n * easier to manipulate.\n */\nfunction listToStyles(parentId, list) {\n  var styles = [];\n  var newStyles = {};\n  for (var i = 0; i < list.length; i++) {\n    var item = list[i];\n    var id = item[0];\n    var css = item[1];\n    var media = item[2];\n    var sourceMap = item[3];\n    var part = {\n      id: parentId + ':' + i,\n      css: css,\n      media: media,\n      sourceMap: sourceMap\n    };\n    if (!newStyles[id]) {\n      styles.push(newStyles[id] = {\n        id: id,\n        parts: [part]\n      });\n    } else {\n      newStyles[id].parts.push(part);\n    }\n  }\n  return styles;\n}\n\n//# sourceURL=webpack://JCM-AI/./node_modules/vue-style-loader/lib/listToStyles.js?");
-
-/***/ }),
-
-/***/ "./node_modules/vue/dist/vue.runtime.esm.js":
-/*!**************************************************!*\
-  !*** ./node_modules/vue/dist/vue.runtime.esm.js ***!
-  \**************************************************/
-/***/ (function(__unused_webpack_module, __webpack_exports__, __webpack_require__) {
-
-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */   \"EffectScope\": function() { return /* binding */ EffectScope; },\n/* harmony export */   \"computed\": function() { return /* binding */ computed; },\n/* harmony export */   \"customRef\": function() { return /* binding */ customRef; },\n/* harmony export */   \"default\": function() { return /* binding */ Vue; },\n/* harmony export */   \"defineAsyncComponent\": function() { return /* binding */ defineAsyncComponent; },\n/* harmony export */   \"defineComponent\": function() { return /* binding */ defineComponent; },\n/* harmony export */   \"del\": function() { return /* binding */ del; },\n/* harmony export */   \"effectScope\": function() { return /* binding */ effectScope; },\n/* harmony export */   \"getCurrentInstance\": function() { return /* binding */ getCurrentInstance; },\n/* harmony export */   \"getCurrentScope\": function() { return /* binding */ getCurrentScope; },\n/* harmony export */   \"h\": function() { return /* binding */ h; },\n/* harmony export */   \"inject\": function() { return /* binding */ inject; },\n/* harmony export */   \"isProxy\": function() { return /* binding */ isProxy; },\n/* harmony export */   \"isReactive\": function() { return /* binding */ isReactive; },\n/* harmony export */   \"isReadonly\": function() { return /* binding */ isReadonly; },\n/* harmony export */   \"isRef\": function() { return /* binding */ isRef; },\n/* harmony export */   \"isShallow\": function() { return /* binding */ isShallow; },\n/* harmony export */   \"markRaw\": function() { return /* binding */ markRaw; },\n/* harmony export */   \"mergeDefaults\": function() { return /* binding */ mergeDefaults; },\n/* harmony export */   \"nextTick\": function() { return /* binding */ nextTick; },\n/* harmony export */   \"onActivated\": function() { return /* binding */ onActivated; },\n/* harmony export */   \"onBeforeMount\": function() { return /* binding */ onBeforeMount; },\n/* harmony export */   \"onBeforeUnmount\": function() { return /* binding */ onBeforeUnmount; },\n/* harmony export */   \"onBeforeUpdate\": function() { return /* binding */ onBeforeUpdate; },\n/* harmony export */   \"onDeactivated\": function() { return /* binding */ onDeactivated; },\n/* harmony export */   \"onErrorCaptured\": function() { return /* binding */ onErrorCaptured; },\n/* harmony export */   \"onMounted\": function() { return /* binding */ onMounted; },\n/* harmony export */   \"onRenderTracked\": function() { return /* binding */ onRenderTracked; },\n/* harmony export */   \"onRenderTriggered\": function() { return /* binding */ onRenderTriggered; },\n/* harmony export */   \"onScopeDispose\": function() { return /* binding */ onScopeDispose; },\n/* harmony export */   \"onServerPrefetch\": function() { return /* binding */ onServerPrefetch; },\n/* harmony export */   \"onUnmounted\": function() { return /* binding */ onUnmounted; },\n/* harmony export */   \"onUpdated\": function() { return /* binding */ onUpdated; },\n/* harmony export */   \"provide\": function() { return /* binding */ provide; },\n/* harmony export */   \"proxyRefs\": function() { return /* binding */ proxyRefs; },\n/* harmony export */   \"reactive\": function() { return /* binding */ reactive; },\n/* harmony export */   \"readonly\": function() { return /* binding */ readonly; },\n/* harmony export */   \"ref\": function() { return /* binding */ ref$1; },\n/* harmony export */   \"set\": function() { return /* binding */ set; },\n/* harmony export */   \"shallowReactive\": function() { return /* binding */ shallowReactive; },\n/* harmony export */   \"shallowReadonly\": function() { return /* binding */ shallowReadonly; },\n/* harmony export */   \"shallowRef\": function() { return /* binding */ shallowRef; },\n/* harmony export */   \"toRaw\": function() { return /* binding */ toRaw; },\n/* harmony export */   \"toRef\": function() { return /* binding */ toRef; },\n/* harmony export */   \"toRefs\": function() { return /* binding */ toRefs; },\n/* harmony export */   \"triggerRef\": function() { return /* binding */ triggerRef; },\n/* harmony export */   \"unref\": function() { return /* binding */ unref; },\n/* harmony export */   \"useAttrs\": function() { return /* binding */ useAttrs; },\n/* harmony export */   \"useCssModule\": function() { return /* binding */ useCssModule; },\n/* harmony export */   \"useCssVars\": function() { return /* binding */ useCssVars; },\n/* harmony export */   \"useListeners\": function() { return /* binding */ useListeners; },\n/* harmony export */   \"useSlots\": function() { return /* binding */ useSlots; },\n/* harmony export */   \"version\": function() { return /* binding */ version; },\n/* harmony export */   \"watch\": function() { return /* binding */ watch; },\n/* harmony export */   \"watchEffect\": function() { return /* binding */ watchEffect; },\n/* harmony export */   \"watchPostEffect\": function() { return /* binding */ watchPostEffect; },\n/* harmony export */   \"watchSyncEffect\": function() { return /* binding */ watchSyncEffect; }\n/* harmony export */ });\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0___default = /*#__PURE__*/__webpack_require__.n(core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__);\n/* harmony import */ var core_js_modules_web_immediate_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! core-js/modules/web.immediate.js */ \"./node_modules/core-js/modules/web.immediate.js\");\n/* harmony import */ var core_js_modules_web_immediate_js__WEBPACK_IMPORTED_MODULE_1___default = /*#__PURE__*/__webpack_require__.n(core_js_modules_web_immediate_js__WEBPACK_IMPORTED_MODULE_1__);\n/* harmony import */ var core_js_modules_es_array_unshift_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! core-js/modules/es.array.unshift.js */ \"./node_modules/core-js/modules/es.array.unshift.js\");\n/* harmony import */ var core_js_modules_es_array_unshift_js__WEBPACK_IMPORTED_MODULE_2___default = /*#__PURE__*/__webpack_require__.n(core_js_modules_es_array_unshift_js__WEBPACK_IMPORTED_MODULE_2__);\n/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\n\n\n\n/*!\n * Vue.js v2.7.14\n * (c) 2014-2022 Evan You\n * Released under the MIT License.\n */\nvar emptyObject = Object.freeze({});\nvar isArray = Array.isArray;\n// These helpers produce better VM code in JS engines due to their\n// explicitness and function inlining.\nfunction isUndef(v) {\n  return v === undefined || v === null;\n}\nfunction isDef(v) {\n  return v !== undefined && v !== null;\n}\nfunction isTrue(v) {\n  return v === true;\n}\nfunction isFalse(v) {\n  return v === false;\n}\n/**\n * Check if value is primitive.\n */\nfunction isPrimitive(value) {\n  return typeof value === 'string' || typeof value === 'number' ||\n  // $flow-disable-line\n  typeof value === 'symbol' || typeof value === 'boolean';\n}\nfunction isFunction(value) {\n  return typeof value === 'function';\n}\n/**\n * Quick object check - this is primarily used to tell\n * objects from primitive values when we know the value\n * is a JSON-compliant type.\n */\nfunction isObject(obj) {\n  return obj !== null && typeof obj === 'object';\n}\n/**\n * Get the raw type string of a value, e.g., [object Object].\n */\nvar _toString = Object.prototype.toString;\nfunction toRawType(value) {\n  return _toString.call(value).slice(8, -1);\n}\n/**\n * Strict object type check. Only returns true\n * for plain JavaScript objects.\n */\nfunction isPlainObject(obj) {\n  return _toString.call(obj) === '[object Object]';\n}\nfunction isRegExp(v) {\n  return _toString.call(v) === '[object RegExp]';\n}\n/**\n * Check if val is a valid array index.\n */\nfunction isValidArrayIndex(val) {\n  var n = parseFloat(String(val));\n  return n >= 0 && Math.floor(n) === n && isFinite(val);\n}\nfunction isPromise(val) {\n  return isDef(val) && typeof val.then === 'function' && typeof val.catch === 'function';\n}\n/**\n * Convert a value to a string that is actually rendered.\n */\nfunction toString(val) {\n  return val == null ? '' : Array.isArray(val) || isPlainObject(val) && val.toString === _toString ? JSON.stringify(val, null, 2) : String(val);\n}\n/**\n * Convert an input value to a number for persistence.\n * If the conversion fails, return original string.\n */\nfunction toNumber(val) {\n  var n = parseFloat(val);\n  return isNaN(n) ? val : n;\n}\n/**\n * Make a map and return a function for checking if a key\n * is in that map.\n */\nfunction makeMap(str, expectsLowerCase) {\n  var map = Object.create(null);\n  var list = str.split(',');\n  for (var i = 0; i < list.length; i++) {\n    map[list[i]] = true;\n  }\n  return expectsLowerCase ? function (val) {\n    return map[val.toLowerCase()];\n  } : function (val) {\n    return map[val];\n  };\n}\n/**\n * Check if a tag is a built-in tag.\n */\nvar isBuiltInTag = makeMap('slot,component', true);\n/**\n * Check if an attribute is a reserved attribute.\n */\nvar isReservedAttribute = makeMap('key,ref,slot,slot-scope,is');\n/**\n * Remove an item from an array.\n */\nfunction remove$2(arr, item) {\n  var len = arr.length;\n  if (len) {\n    // fast path for the only / last item\n    if (item === arr[len - 1]) {\n      arr.length = len - 1;\n      return;\n    }\n    var index = arr.indexOf(item);\n    if (index > -1) {\n      return arr.splice(index, 1);\n    }\n  }\n}\n/**\n * Check whether an object has the property.\n */\nvar hasOwnProperty = Object.prototype.hasOwnProperty;\nfunction hasOwn(obj, key) {\n  return hasOwnProperty.call(obj, key);\n}\n/**\n * Create a cached version of a pure function.\n */\nfunction cached(fn) {\n  var cache = Object.create(null);\n  return function cachedFn(str) {\n    var hit = cache[str];\n    return hit || (cache[str] = fn(str));\n  };\n}\n/**\n * Camelize a hyphen-delimited string.\n */\nvar camelizeRE = /-(\\w)/g;\nvar camelize = cached(function (str) {\n  return str.replace(camelizeRE, function (_, c) {\n    return c ? c.toUpperCase() : '';\n  });\n});\n/**\n * Capitalize a string.\n */\nvar capitalize = cached(function (str) {\n  return str.charAt(0).toUpperCase() + str.slice(1);\n});\n/**\n * Hyphenate a camelCase string.\n */\nvar hyphenateRE = /\\B([A-Z])/g;\nvar hyphenate = cached(function (str) {\n  return str.replace(hyphenateRE, '-$1').toLowerCase();\n});\n/**\n * Simple bind polyfill for environments that do not support it,\n * e.g., PhantomJS 1.x. Technically, we don't need this anymore\n * since native bind is now performant enough in most browsers.\n * But removing it would mean breaking code that was able to run in\n * PhantomJS 1.x, so this must be kept for backward compatibility.\n */\n/* istanbul ignore next */\nfunction polyfillBind(fn, ctx) {\n  function boundFn(a) {\n    var l = arguments.length;\n    return l ? l > 1 ? fn.apply(ctx, arguments) : fn.call(ctx, a) : fn.call(ctx);\n  }\n  boundFn._length = fn.length;\n  return boundFn;\n}\nfunction nativeBind(fn, ctx) {\n  return fn.bind(ctx);\n}\n// @ts-expect-error bind cannot be `undefined`\nvar bind = Function.prototype.bind ? nativeBind : polyfillBind;\n/**\n * Convert an Array-like object to a real Array.\n */\nfunction toArray(list, start) {\n  start = start || 0;\n  var i = list.length - start;\n  var ret = new Array(i);\n  while (i--) {\n    ret[i] = list[i + start];\n  }\n  return ret;\n}\n/**\n * Mix properties into target object.\n */\nfunction extend(to, _from) {\n  for (var key in _from) {\n    to[key] = _from[key];\n  }\n  return to;\n}\n/**\n * Merge an Array of Objects into a single Object.\n */\nfunction toObject(arr) {\n  var res = {};\n  for (var i = 0; i < arr.length; i++) {\n    if (arr[i]) {\n      extend(res, arr[i]);\n    }\n  }\n  return res;\n}\n/* eslint-disable no-unused-vars */\n/**\n * Perform no operation.\n * Stubbing args to make Flow happy without leaving useless transpiled code\n * with ...rest (https://flow.org/blog/2017/05/07/Strict-Function-Call-Arity/).\n */\nfunction noop(a, b, c) {}\n/**\n * Always return false.\n */\nvar no = function (a, b, c) {\n  return false;\n};\n/* eslint-enable no-unused-vars */\n/**\n * Return the same value.\n */\nvar identity = function (_) {\n  return _;\n};\n/**\n * Check if two values are loosely equal - that is,\n * if they are plain objects, do they have the same shape?\n */\nfunction looseEqual(a, b) {\n  if (a === b) return true;\n  var isObjectA = isObject(a);\n  var isObjectB = isObject(b);\n  if (isObjectA && isObjectB) {\n    try {\n      var isArrayA = Array.isArray(a);\n      var isArrayB = Array.isArray(b);\n      if (isArrayA && isArrayB) {\n        return a.length === b.length && a.every(function (e, i) {\n          return looseEqual(e, b[i]);\n        });\n      } else if (a instanceof Date && b instanceof Date) {\n        return a.getTime() === b.getTime();\n      } else if (!isArrayA && !isArrayB) {\n        var keysA = Object.keys(a);\n        var keysB = Object.keys(b);\n        return keysA.length === keysB.length && keysA.every(function (key) {\n          return looseEqual(a[key], b[key]);\n        });\n      } else {\n        /* istanbul ignore next */\n        return false;\n      }\n    } catch (e) {\n      /* istanbul ignore next */\n      return false;\n    }\n  } else if (!isObjectA && !isObjectB) {\n    return String(a) === String(b);\n  } else {\n    return false;\n  }\n}\n/**\n * Return the first index at which a loosely equal value can be\n * found in the array (if value is a plain object, the array must\n * contain an object of the same shape), or -1 if it is not present.\n */\nfunction looseIndexOf(arr, val) {\n  for (var i = 0; i < arr.length; i++) {\n    if (looseEqual(arr[i], val)) return i;\n  }\n  return -1;\n}\n/**\n * Ensure a function is called only once.\n */\nfunction once(fn) {\n  var called = false;\n  return function () {\n    if (!called) {\n      called = true;\n      fn.apply(this, arguments);\n    }\n  };\n}\n// https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Object/is#polyfill\nfunction hasChanged(x, y) {\n  if (x === y) {\n    return x === 0 && 1 / x !== 1 / y;\n  } else {\n    return x === x || y === y;\n  }\n}\nvar SSR_ATTR = 'data-server-rendered';\nvar ASSET_TYPES = ['component', 'directive', 'filter'];\nvar LIFECYCLE_HOOKS = ['beforeCreate', 'created', 'beforeMount', 'mounted', 'beforeUpdate', 'updated', 'beforeDestroy', 'destroyed', 'activated', 'deactivated', 'errorCaptured', 'serverPrefetch', 'renderTracked', 'renderTriggered'];\nvar config = {\n  /**\n   * Option merge strategies (used in core/util/options)\n   */\n  // $flow-disable-line\n  optionMergeStrategies: Object.create(null),\n  /**\n   * Whether to suppress warnings.\n   */\n  silent: false,\n  /**\n   * Show production mode tip message on boot?\n   */\n  productionTip: \"development\" !== 'production',\n  /**\n   * Whether to enable devtools\n   */\n  devtools: \"development\" !== 'production',\n  /**\n   * Whether to record perf\n   */\n  performance: false,\n  /**\n   * Error handler for watcher errors\n   */\n  errorHandler: null,\n  /**\n   * Warn handler for watcher warns\n   */\n  warnHandler: null,\n  /**\n   * Ignore certain custom elements\n   */\n  ignoredElements: [],\n  /**\n   * Custom user key aliases for v-on\n   */\n  // $flow-disable-line\n  keyCodes: Object.create(null),\n  /**\n   * Check if a tag is reserved so that it cannot be registered as a\n   * component. This is platform-dependent and may be overwritten.\n   */\n  isReservedTag: no,\n  /**\n   * Check if an attribute is reserved so that it cannot be used as a component\n   * prop. This is platform-dependent and may be overwritten.\n   */\n  isReservedAttr: no,\n  /**\n   * Check if a tag is an unknown element.\n   * Platform-dependent.\n   */\n  isUnknownElement: no,\n  /**\n   * Get the namespace of an element\n   */\n  getTagNamespace: noop,\n  /**\n   * Parse the real tag name for the specific platform.\n   */\n  parsePlatformTagName: identity,\n  /**\n   * Check if an attribute must be bound using property, e.g. value\n   * Platform-dependent.\n   */\n  mustUseProp: no,\n  /**\n   * Perform updates asynchronously. Intended to be used by Vue Test Utils\n   * This will significantly reduce performance if set to false.\n   */\n  async: true,\n  /**\n   * Exposed for legacy reasons\n   */\n  _lifecycleHooks: LIFECYCLE_HOOKS\n};\n\n/**\n * unicode letters used for parsing html tags, component names and property paths.\n * using https://www.w3.org/TR/html53/semantics-scripting.html#potentialcustomelementname\n * skipping \\u10000-\\uEFFFF due to it freezing up PhantomJS\n */\nvar unicodeRegExp = /a-zA-Z\\u00B7\\u00C0-\\u00D6\\u00D8-\\u00F6\\u00F8-\\u037D\\u037F-\\u1FFF\\u200C-\\u200D\\u203F-\\u2040\\u2070-\\u218F\\u2C00-\\u2FEF\\u3001-\\uD7FF\\uF900-\\uFDCF\\uFDF0-\\uFFFD/;\n/**\n * Check if a string starts with $ or _\n */\nfunction isReserved(str) {\n  var c = (str + '').charCodeAt(0);\n  return c === 0x24 || c === 0x5f;\n}\n/**\n * Define a property.\n */\nfunction def(obj, key, val, enumerable) {\n  Object.defineProperty(obj, key, {\n    value: val,\n    enumerable: !!enumerable,\n    writable: true,\n    configurable: true\n  });\n}\n/**\n * Parse simple path.\n */\nvar bailRE = new RegExp(\"[^\".concat(unicodeRegExp.source, \".$_\\\\d]\"));\nfunction parsePath(path) {\n  if (bailRE.test(path)) {\n    return;\n  }\n  var segments = path.split('.');\n  return function (obj) {\n    for (var i = 0; i < segments.length; i++) {\n      if (!obj) return;\n      obj = obj[segments[i]];\n    }\n    return obj;\n  };\n}\n\n// can we use __proto__?\nvar hasProto = ('__proto__' in {});\n// Browser environment sniffing\nvar inBrowser = typeof window !== 'undefined';\nvar UA = inBrowser && window.navigator.userAgent.toLowerCase();\nvar isIE = UA && /msie|trident/.test(UA);\nvar isIE9 = UA && UA.indexOf('msie 9.0') > 0;\nvar isEdge = UA && UA.indexOf('edge/') > 0;\nUA && UA.indexOf('android') > 0;\nvar isIOS = UA && /iphone|ipad|ipod|ios/.test(UA);\nUA && /chrome\\/\\d+/.test(UA) && !isEdge;\nUA && /phantomjs/.test(UA);\nvar isFF = UA && UA.match(/firefox\\/(\\d+)/);\n// Firefox has a \"watch\" function on Object.prototype...\n// @ts-expect-error firebox support\nvar nativeWatch = {}.watch;\nvar supportsPassive = false;\nif (inBrowser) {\n  try {\n    var opts = {};\n    Object.defineProperty(opts, 'passive', {\n      get: function () {\n        /* istanbul ignore next */\n        supportsPassive = true;\n      }\n    }); // https://github.com/facebook/flow/issues/285\n    window.addEventListener('test-passive', null, opts);\n  } catch (e) {}\n}\n// this needs to be lazy-evaled because vue may be required before\n// vue-server-renderer can set VUE_ENV\nvar _isServer;\nvar isServerRendering = function () {\n  if (_isServer === undefined) {\n    /* istanbul ignore if */\n    if (!inBrowser && typeof __webpack_require__.g !== 'undefined') {\n      // detect presence of vue-server-renderer and avoid\n      // Webpack shimming the process\n      _isServer = __webpack_require__.g['process'] && __webpack_require__.g['process'].env.VUE_ENV === 'server';\n    } else {\n      _isServer = false;\n    }\n  }\n  return _isServer;\n};\n// detect devtools\nvar devtools = inBrowser && window.__VUE_DEVTOOLS_GLOBAL_HOOK__;\n/* istanbul ignore next */\nfunction isNative(Ctor) {\n  return typeof Ctor === 'function' && /native code/.test(Ctor.toString());\n}\nvar hasSymbol = typeof Symbol !== 'undefined' && isNative(Symbol) && typeof Reflect !== 'undefined' && isNative(Reflect.ownKeys);\nvar _Set; // $flow-disable-line\n/* istanbul ignore if */\nif (typeof Set !== 'undefined' && isNative(Set)) {\n  // use native Set when available.\n  _Set = Set;\n} else {\n  // a non-standard Set polyfill that only works with primitive keys.\n  _Set = /** @class */function () {\n    function Set() {\n      this.set = Object.create(null);\n    }\n    Set.prototype.has = function (key) {\n      return this.set[key] === true;\n    };\n    Set.prototype.add = function (key) {\n      this.set[key] = true;\n    };\n    Set.prototype.clear = function () {\n      this.set = Object.create(null);\n    };\n    return Set;\n  }();\n}\nvar currentInstance = null;\n/**\n * This is exposed for compatibility with v3 (e.g. some functions in VueUse\n * relies on it). Do not use this internally, just use `currentInstance`.\n *\n * @internal this function needs manual type declaration because it relies\n * on previously manually authored types from Vue 2\n */\nfunction getCurrentInstance() {\n  return currentInstance && {\n    proxy: currentInstance\n  };\n}\n/**\n * @internal\n */\nfunction setCurrentInstance(vm) {\n  if (vm === void 0) {\n    vm = null;\n  }\n  if (!vm) currentInstance && currentInstance._scope.off();\n  currentInstance = vm;\n  vm && vm._scope.on();\n}\n\n/**\n * @internal\n */\nvar VNode = /** @class */function () {\n  function VNode(tag, data, children, text, elm, context, componentOptions, asyncFactory) {\n    this.tag = tag;\n    this.data = data;\n    this.children = children;\n    this.text = text;\n    this.elm = elm;\n    this.ns = undefined;\n    this.context = context;\n    this.fnContext = undefined;\n    this.fnOptions = undefined;\n    this.fnScopeId = undefined;\n    this.key = data && data.key;\n    this.componentOptions = componentOptions;\n    this.componentInstance = undefined;\n    this.parent = undefined;\n    this.raw = false;\n    this.isStatic = false;\n    this.isRootInsert = true;\n    this.isComment = false;\n    this.isCloned = false;\n    this.isOnce = false;\n    this.asyncFactory = asyncFactory;\n    this.asyncMeta = undefined;\n    this.isAsyncPlaceholder = false;\n  }\n  Object.defineProperty(VNode.prototype, \"child\", {\n    // DEPRECATED: alias for componentInstance for backwards compat.\n    /* istanbul ignore next */\n    get: function () {\n      return this.componentInstance;\n    },\n    enumerable: false,\n    configurable: true\n  });\n  return VNode;\n}();\nvar createEmptyVNode = function (text) {\n  if (text === void 0) {\n    text = '';\n  }\n  var node = new VNode();\n  node.text = text;\n  node.isComment = true;\n  return node;\n};\nfunction createTextVNode(val) {\n  return new VNode(undefined, undefined, undefined, String(val));\n}\n// optimized shallow clone\n// used for static nodes and slot nodes because they may be reused across\n// multiple renders, cloning them avoids errors when DOM manipulations rely\n// on their elm reference.\nfunction cloneVNode(vnode) {\n  var cloned = new VNode(vnode.tag, vnode.data,\n  // #7975\n  // clone children array to avoid mutating original in case of cloning\n  // a child.\n  vnode.children && vnode.children.slice(), vnode.text, vnode.elm, vnode.context, vnode.componentOptions, vnode.asyncFactory);\n  cloned.ns = vnode.ns;\n  cloned.isStatic = vnode.isStatic;\n  cloned.key = vnode.key;\n  cloned.isComment = vnode.isComment;\n  cloned.fnContext = vnode.fnContext;\n  cloned.fnOptions = vnode.fnOptions;\n  cloned.fnScopeId = vnode.fnScopeId;\n  cloned.asyncMeta = vnode.asyncMeta;\n  cloned.isCloned = true;\n  return cloned;\n}\n\n/******************************************************************************\r\nCopyright (c) Microsoft Corporation.\r\n\r\nPermission to use, copy, modify, and/or distribute this software for any\r\npurpose with or without fee is hereby granted.\r\n\r\nTHE SOFTWARE IS PROVIDED \"AS IS\" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH\r\nREGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY\r\nAND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,\r\nINDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM\r\nLOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR\r\nOTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR\r\nPERFORMANCE OF THIS SOFTWARE.\r\n***************************************************************************** */\n\nvar __assign = function () {\n  __assign = Object.assign || function __assign(t) {\n    for (var s, i = 1, n = arguments.length; i < n; i++) {\n      s = arguments[i];\n      for (var p in s) if (Object.prototype.hasOwnProperty.call(s, p)) t[p] = s[p];\n    }\n    return t;\n  };\n  return __assign.apply(this, arguments);\n};\nvar uid$2 = 0;\nvar pendingCleanupDeps = [];\nvar cleanupDeps = function () {\n  for (var i = 0; i < pendingCleanupDeps.length; i++) {\n    var dep = pendingCleanupDeps[i];\n    dep.subs = dep.subs.filter(function (s) {\n      return s;\n    });\n    dep._pending = false;\n  }\n  pendingCleanupDeps.length = 0;\n};\n/**\n * A dep is an observable that can have multiple\n * directives subscribing to it.\n * @internal\n */\nvar Dep = /** @class */function () {\n  function Dep() {\n    // pending subs cleanup\n    this._pending = false;\n    this.id = uid$2++;\n    this.subs = [];\n  }\n  Dep.prototype.addSub = function (sub) {\n    this.subs.push(sub);\n  };\n  Dep.prototype.removeSub = function (sub) {\n    // #12696 deps with massive amount of subscribers are extremely slow to\n    // clean up in Chromium\n    // to workaround this, we unset the sub for now, and clear them on\n    // next scheduler flush.\n    this.subs[this.subs.indexOf(sub)] = null;\n    if (!this._pending) {\n      this._pending = true;\n      pendingCleanupDeps.push(this);\n    }\n  };\n  Dep.prototype.depend = function (info) {\n    if (Dep.target) {\n      Dep.target.addDep(this);\n      if ( true && info && Dep.target.onTrack) {\n        Dep.target.onTrack(__assign({\n          effect: Dep.target\n        }, info));\n      }\n    }\n  };\n  Dep.prototype.notify = function (info) {\n    // stabilize the subscriber list first\n    var subs = this.subs.filter(function (s) {\n      return s;\n    });\n    if ( true && !config.async) {\n      // subs aren't sorted in scheduler if not running async\n      // we need to sort them now to make sure they fire in correct\n      // order\n      subs.sort(function (a, b) {\n        return a.id - b.id;\n      });\n    }\n    for (var i = 0, l = subs.length; i < l; i++) {\n      var sub = subs[i];\n      if ( true && info) {\n        sub.onTrigger && sub.onTrigger(__assign({\n          effect: subs[i]\n        }, info));\n      }\n      sub.update();\n    }\n  };\n  return Dep;\n}();\n// The current target watcher being evaluated.\n// This is globally unique because only one watcher\n// can be evaluated at a time.\nDep.target = null;\nvar targetStack = [];\nfunction pushTarget(target) {\n  targetStack.push(target);\n  Dep.target = target;\n}\nfunction popTarget() {\n  targetStack.pop();\n  Dep.target = targetStack[targetStack.length - 1];\n}\n\n/*\n * not type checking this file because flow doesn't play well with\n * dynamically accessing methods on Array prototype\n */\nvar arrayProto = Array.prototype;\nvar arrayMethods = Object.create(arrayProto);\nvar methodsToPatch = ['push', 'pop', 'shift', 'unshift', 'splice', 'sort', 'reverse'];\n/**\n * Intercept mutating methods and emit events\n */\nmethodsToPatch.forEach(function (method) {\n  // cache original method\n  var original = arrayProto[method];\n  def(arrayMethods, method, function mutator() {\n    var args = [];\n    for (var _i = 0; _i < arguments.length; _i++) {\n      args[_i] = arguments[_i];\n    }\n    var result = original.apply(this, args);\n    var ob = this.__ob__;\n    var inserted;\n    switch (method) {\n      case 'push':\n      case 'unshift':\n        inserted = args;\n        break;\n      case 'splice':\n        inserted = args.slice(2);\n        break;\n    }\n    if (inserted) ob.observeArray(inserted);\n    // notify change\n    if (true) {\n      ob.dep.notify({\n        type: \"array mutation\" /* TriggerOpTypes.ARRAY_MUTATION */,\n        target: this,\n        key: method\n      });\n    } else {}\n    return result;\n  });\n});\nvar arrayKeys = Object.getOwnPropertyNames(arrayMethods);\nvar NO_INIITIAL_VALUE = {};\n/**\n * In some cases we may want to disable observation inside a component's\n * update computation.\n */\nvar shouldObserve = true;\nfunction toggleObserving(value) {\n  shouldObserve = value;\n}\n// ssr mock dep\nvar mockDep = {\n  notify: noop,\n  depend: noop,\n  addSub: noop,\n  removeSub: noop\n};\n/**\n * Observer class that is attached to each observed\n * object. Once attached, the observer converts the target\n * object's property keys into getter/setters that\n * collect dependencies and dispatch updates.\n */\nvar Observer = /** @class */function () {\n  function Observer(value, shallow, mock) {\n    if (shallow === void 0) {\n      shallow = false;\n    }\n    if (mock === void 0) {\n      mock = false;\n    }\n    this.value = value;\n    this.shallow = shallow;\n    this.mock = mock;\n    // this.value = value\n    this.dep = mock ? mockDep : new Dep();\n    this.vmCount = 0;\n    def(value, '__ob__', this);\n    if (isArray(value)) {\n      if (!mock) {\n        if (hasProto) {\n          value.__proto__ = arrayMethods;\n          /* eslint-enable no-proto */\n        } else {\n          for (var i = 0, l = arrayKeys.length; i < l; i++) {\n            var key = arrayKeys[i];\n            def(value, key, arrayMethods[key]);\n          }\n        }\n      }\n      if (!shallow) {\n        this.observeArray(value);\n      }\n    } else {\n      /**\n       * Walk through all properties and convert them into\n       * getter/setters. This method should only be called when\n       * value type is Object.\n       */\n      var keys = Object.keys(value);\n      for (var i = 0; i < keys.length; i++) {\n        var key = keys[i];\n        defineReactive(value, key, NO_INIITIAL_VALUE, undefined, shallow, mock);\n      }\n    }\n  }\n  /**\n   * Observe a list of Array items.\n   */\n  Observer.prototype.observeArray = function (value) {\n    for (var i = 0, l = value.length; i < l; i++) {\n      observe(value[i], false, this.mock);\n    }\n  };\n  return Observer;\n}();\n// helpers\n/**\n * Attempt to create an observer instance for a value,\n * returns the new observer if successfully observed,\n * or the existing observer if the value already has one.\n */\nfunction observe(value, shallow, ssrMockReactivity) {\n  if (value && hasOwn(value, '__ob__') && value.__ob__ instanceof Observer) {\n    return value.__ob__;\n  }\n  if (shouldObserve && (ssrMockReactivity || !isServerRendering()) && (isArray(value) || isPlainObject(value)) && Object.isExtensible(value) && !value.__v_skip /* ReactiveFlags.SKIP */ && !isRef(value) && !(value instanceof VNode)) {\n    return new Observer(value, shallow, ssrMockReactivity);\n  }\n}\n/**\n * Define a reactive property on an Object.\n */\nfunction defineReactive(obj, key, val, customSetter, shallow, mock) {\n  var dep = new Dep();\n  var property = Object.getOwnPropertyDescriptor(obj, key);\n  if (property && property.configurable === false) {\n    return;\n  }\n  // cater for pre-defined getter/setters\n  var getter = property && property.get;\n  var setter = property && property.set;\n  if ((!getter || setter) && (val === NO_INIITIAL_VALUE || arguments.length === 2)) {\n    val = obj[key];\n  }\n  var childOb = !shallow && observe(val, false, mock);\n  Object.defineProperty(obj, key, {\n    enumerable: true,\n    configurable: true,\n    get: function reactiveGetter() {\n      var value = getter ? getter.call(obj) : val;\n      if (Dep.target) {\n        if (true) {\n          dep.depend({\n            target: obj,\n            type: \"get\" /* TrackOpTypes.GET */,\n            key: key\n          });\n        } else {}\n        if (childOb) {\n          childOb.dep.depend();\n          if (isArray(value)) {\n            dependArray(value);\n          }\n        }\n      }\n      return isRef(value) && !shallow ? value.value : value;\n    },\n    set: function reactiveSetter(newVal) {\n      var value = getter ? getter.call(obj) : val;\n      if (!hasChanged(value, newVal)) {\n        return;\n      }\n      if ( true && customSetter) {\n        customSetter();\n      }\n      if (setter) {\n        setter.call(obj, newVal);\n      } else if (getter) {\n        // #7981: for accessor properties without setter\n        return;\n      } else if (!shallow && isRef(value) && !isRef(newVal)) {\n        value.value = newVal;\n        return;\n      } else {\n        val = newVal;\n      }\n      childOb = !shallow && observe(newVal, false, mock);\n      if (true) {\n        dep.notify({\n          type: \"set\" /* TriggerOpTypes.SET */,\n          target: obj,\n          key: key,\n          newValue: newVal,\n          oldValue: value\n        });\n      } else {}\n    }\n  });\n  return dep;\n}\nfunction set(target, key, val) {\n  if ( true && (isUndef(target) || isPrimitive(target))) {\n    warn(\"Cannot set reactive property on undefined, null, or primitive value: \".concat(target));\n  }\n  if (isReadonly(target)) {\n     true && warn(\"Set operation on key \\\"\".concat(key, \"\\\" failed: target is readonly.\"));\n    return;\n  }\n  var ob = target.__ob__;\n  if (isArray(target) && isValidArrayIndex(key)) {\n    target.length = Math.max(target.length, key);\n    target.splice(key, 1, val);\n    // when mocking for SSR, array methods are not hijacked\n    if (ob && !ob.shallow && ob.mock) {\n      observe(val, false, true);\n    }\n    return val;\n  }\n  if (key in target && !(key in Object.prototype)) {\n    target[key] = val;\n    return val;\n  }\n  if (target._isVue || ob && ob.vmCount) {\n     true && warn('Avoid adding reactive properties to a Vue instance or its root $data ' + 'at runtime - declare it upfront in the data option.');\n    return val;\n  }\n  if (!ob) {\n    target[key] = val;\n    return val;\n  }\n  defineReactive(ob.value, key, val, undefined, ob.shallow, ob.mock);\n  if (true) {\n    ob.dep.notify({\n      type: \"add\" /* TriggerOpTypes.ADD */,\n      target: target,\n      key: key,\n      newValue: val,\n      oldValue: undefined\n    });\n  } else {}\n  return val;\n}\nfunction del(target, key) {\n  if ( true && (isUndef(target) || isPrimitive(target))) {\n    warn(\"Cannot delete reactive property on undefined, null, or primitive value: \".concat(target));\n  }\n  if (isArray(target) && isValidArrayIndex(key)) {\n    target.splice(key, 1);\n    return;\n  }\n  var ob = target.__ob__;\n  if (target._isVue || ob && ob.vmCount) {\n     true && warn('Avoid deleting properties on a Vue instance or its root $data ' + '- just set it to null.');\n    return;\n  }\n  if (isReadonly(target)) {\n     true && warn(\"Delete operation on key \\\"\".concat(key, \"\\\" failed: target is readonly.\"));\n    return;\n  }\n  if (!hasOwn(target, key)) {\n    return;\n  }\n  delete target[key];\n  if (!ob) {\n    return;\n  }\n  if (true) {\n    ob.dep.notify({\n      type: \"delete\" /* TriggerOpTypes.DELETE */,\n      target: target,\n      key: key\n    });\n  } else {}\n}\n/**\n * Collect dependencies on array elements when the array is touched, since\n * we cannot intercept array element access like property getters.\n */\nfunction dependArray(value) {\n  for (var e = void 0, i = 0, l = value.length; i < l; i++) {\n    e = value[i];\n    if (e && e.__ob__) {\n      e.__ob__.dep.depend();\n    }\n    if (isArray(e)) {\n      dependArray(e);\n    }\n  }\n}\nfunction reactive(target) {\n  makeReactive(target, false);\n  return target;\n}\n/**\n * Return a shallowly-reactive copy of the original object, where only the root\n * level properties are reactive. It also does not auto-unwrap refs (even at the\n * root level).\n */\nfunction shallowReactive(target) {\n  makeReactive(target, true);\n  def(target, \"__v_isShallow\" /* ReactiveFlags.IS_SHALLOW */, true);\n  return target;\n}\nfunction makeReactive(target, shallow) {\n  // if trying to observe a readonly proxy, return the readonly version.\n  if (!isReadonly(target)) {\n    if (true) {\n      if (isArray(target)) {\n        warn(\"Avoid using Array as root value for \".concat(shallow ? \"shallowReactive()\" : \"reactive()\", \" as it cannot be tracked in watch() or watchEffect(). Use \").concat(shallow ? \"shallowRef()\" : \"ref()\", \" instead. This is a Vue-2-only limitation.\"));\n      }\n      var existingOb = target && target.__ob__;\n      if (existingOb && existingOb.shallow !== shallow) {\n        warn(\"Target is already a \".concat(existingOb.shallow ? \"\" : \"non-\", \"shallow reactive object, and cannot be converted to \").concat(shallow ? \"\" : \"non-\", \"shallow.\"));\n      }\n    }\n    var ob = observe(target, shallow, isServerRendering() /* ssr mock reactivity */);\n    if ( true && !ob) {\n      if (target == null || isPrimitive(target)) {\n        warn(\"value cannot be made reactive: \".concat(String(target)));\n      }\n      if (isCollectionType(target)) {\n        warn(\"Vue 2 does not support reactive collection types such as Map or Set.\");\n      }\n    }\n  }\n}\nfunction isReactive(value) {\n  if (isReadonly(value)) {\n    return isReactive(value[\"__v_raw\" /* ReactiveFlags.RAW */]);\n  }\n\n  return !!(value && value.__ob__);\n}\nfunction isShallow(value) {\n  return !!(value && value.__v_isShallow);\n}\nfunction isReadonly(value) {\n  return !!(value && value.__v_isReadonly);\n}\nfunction isProxy(value) {\n  return isReactive(value) || isReadonly(value);\n}\nfunction toRaw(observed) {\n  var raw = observed && observed[\"__v_raw\" /* ReactiveFlags.RAW */];\n  return raw ? toRaw(raw) : observed;\n}\nfunction markRaw(value) {\n  // non-extensible objects won't be observed anyway\n  if (Object.isExtensible(value)) {\n    def(value, \"__v_skip\" /* ReactiveFlags.SKIP */, true);\n  }\n  return value;\n}\n/**\n * @internal\n */\nfunction isCollectionType(value) {\n  var type = toRawType(value);\n  return type === 'Map' || type === 'WeakMap' || type === 'Set' || type === 'WeakSet';\n}\n\n/**\n * @internal\n */\nvar RefFlag = \"__v_isRef\";\nfunction isRef(r) {\n  return !!(r && r.__v_isRef === true);\n}\nfunction ref$1(value) {\n  return createRef(value, false);\n}\nfunction shallowRef(value) {\n  return createRef(value, true);\n}\nfunction createRef(rawValue, shallow) {\n  if (isRef(rawValue)) {\n    return rawValue;\n  }\n  var ref = {};\n  def(ref, RefFlag, true);\n  def(ref, \"__v_isShallow\" /* ReactiveFlags.IS_SHALLOW */, shallow);\n  def(ref, 'dep', defineReactive(ref, 'value', rawValue, null, shallow, isServerRendering()));\n  return ref;\n}\nfunction triggerRef(ref) {\n  if ( true && !ref.dep) {\n    warn(\"received object is not a triggerable ref.\");\n  }\n  if (true) {\n    ref.dep && ref.dep.notify({\n      type: \"set\" /* TriggerOpTypes.SET */,\n      target: ref,\n      key: 'value'\n    });\n  } else {}\n}\nfunction unref(ref) {\n  return isRef(ref) ? ref.value : ref;\n}\nfunction proxyRefs(objectWithRefs) {\n  if (isReactive(objectWithRefs)) {\n    return objectWithRefs;\n  }\n  var proxy = {};\n  var keys = Object.keys(objectWithRefs);\n  for (var i = 0; i < keys.length; i++) {\n    proxyWithRefUnwrap(proxy, objectWithRefs, keys[i]);\n  }\n  return proxy;\n}\nfunction proxyWithRefUnwrap(target, source, key) {\n  Object.defineProperty(target, key, {\n    enumerable: true,\n    configurable: true,\n    get: function () {\n      var val = source[key];\n      if (isRef(val)) {\n        return val.value;\n      } else {\n        var ob = val && val.__ob__;\n        if (ob) ob.dep.depend();\n        return val;\n      }\n    },\n    set: function (value) {\n      var oldValue = source[key];\n      if (isRef(oldValue) && !isRef(value)) {\n        oldValue.value = value;\n      } else {\n        source[key] = value;\n      }\n    }\n  });\n}\nfunction customRef(factory) {\n  var dep = new Dep();\n  var _a = factory(function () {\n      if (true) {\n        dep.depend({\n          target: ref,\n          type: \"get\" /* TrackOpTypes.GET */,\n          key: 'value'\n        });\n      } else {}\n    }, function () {\n      if (true) {\n        dep.notify({\n          target: ref,\n          type: \"set\" /* TriggerOpTypes.SET */,\n          key: 'value'\n        });\n      } else {}\n    }),\n    get = _a.get,\n    set = _a.set;\n  var ref = {\n    get value() {\n      return get();\n    },\n    set value(newVal) {\n      set(newVal);\n    }\n  };\n  def(ref, RefFlag, true);\n  return ref;\n}\nfunction toRefs(object) {\n  if ( true && !isReactive(object)) {\n    warn(\"toRefs() expects a reactive object but received a plain one.\");\n  }\n  var ret = isArray(object) ? new Array(object.length) : {};\n  for (var key in object) {\n    ret[key] = toRef(object, key);\n  }\n  return ret;\n}\nfunction toRef(object, key, defaultValue) {\n  var val = object[key];\n  if (isRef(val)) {\n    return val;\n  }\n  var ref = {\n    get value() {\n      var val = object[key];\n      return val === undefined ? defaultValue : val;\n    },\n    set value(newVal) {\n      object[key] = newVal;\n    }\n  };\n  def(ref, RefFlag, true);\n  return ref;\n}\nvar rawToReadonlyFlag = \"__v_rawToReadonly\";\nvar rawToShallowReadonlyFlag = \"__v_rawToShallowReadonly\";\nfunction readonly(target) {\n  return createReadonly(target, false);\n}\nfunction createReadonly(target, shallow) {\n  if (!isPlainObject(target)) {\n    if (true) {\n      if (isArray(target)) {\n        warn(\"Vue 2 does not support readonly arrays.\");\n      } else if (isCollectionType(target)) {\n        warn(\"Vue 2 does not support readonly collection types such as Map or Set.\");\n      } else {\n        warn(\"value cannot be made readonly: \".concat(typeof target));\n      }\n    }\n    return target;\n  }\n  if ( true && !Object.isExtensible(target)) {\n    warn(\"Vue 2 does not support creating readonly proxy for non-extensible object.\");\n  }\n  // already a readonly object\n  if (isReadonly(target)) {\n    return target;\n  }\n  // already has a readonly proxy\n  var existingFlag = shallow ? rawToShallowReadonlyFlag : rawToReadonlyFlag;\n  var existingProxy = target[existingFlag];\n  if (existingProxy) {\n    return existingProxy;\n  }\n  var proxy = Object.create(Object.getPrototypeOf(target));\n  def(target, existingFlag, proxy);\n  def(proxy, \"__v_isReadonly\" /* ReactiveFlags.IS_READONLY */, true);\n  def(proxy, \"__v_raw\" /* ReactiveFlags.RAW */, target);\n  if (isRef(target)) {\n    def(proxy, RefFlag, true);\n  }\n  if (shallow || isShallow(target)) {\n    def(proxy, \"__v_isShallow\" /* ReactiveFlags.IS_SHALLOW */, true);\n  }\n  var keys = Object.keys(target);\n  for (var i = 0; i < keys.length; i++) {\n    defineReadonlyProperty(proxy, target, keys[i], shallow);\n  }\n  return proxy;\n}\nfunction defineReadonlyProperty(proxy, target, key, shallow) {\n  Object.defineProperty(proxy, key, {\n    enumerable: true,\n    configurable: true,\n    get: function () {\n      var val = target[key];\n      return shallow || !isPlainObject(val) ? val : readonly(val);\n    },\n    set: function () {\n       true && warn(\"Set operation on key \\\"\".concat(key, \"\\\" failed: target is readonly.\"));\n    }\n  });\n}\n/**\n * Returns a reactive-copy of the original object, where only the root level\n * properties are readonly, and does NOT unwrap refs nor recursively convert\n * returned properties.\n * This is used for creating the props proxy object for stateful components.\n */\nfunction shallowReadonly(target) {\n  return createReadonly(target, true);\n}\nfunction computed(getterOrOptions, debugOptions) {\n  var getter;\n  var setter;\n  var onlyGetter = isFunction(getterOrOptions);\n  if (onlyGetter) {\n    getter = getterOrOptions;\n    setter =  true ? function () {\n      warn('Write operation failed: computed value is readonly');\n    } : 0;\n  } else {\n    getter = getterOrOptions.get;\n    setter = getterOrOptions.set;\n  }\n  var watcher = isServerRendering() ? null : new Watcher(currentInstance, getter, noop, {\n    lazy: true\n  });\n  if ( true && watcher && debugOptions) {\n    watcher.onTrack = debugOptions.onTrack;\n    watcher.onTrigger = debugOptions.onTrigger;\n  }\n  var ref = {\n    // some libs rely on the presence effect for checking computed refs\n    // from normal refs, but the implementation doesn't matter\n    effect: watcher,\n    get value() {\n      if (watcher) {\n        if (watcher.dirty) {\n          watcher.evaluate();\n        }\n        if (Dep.target) {\n          if ( true && Dep.target.onTrack) {\n            Dep.target.onTrack({\n              effect: Dep.target,\n              target: ref,\n              type: \"get\" /* TrackOpTypes.GET */,\n              key: 'value'\n            });\n          }\n          watcher.depend();\n        }\n        return watcher.value;\n      } else {\n        return getter();\n      }\n    },\n    set value(newVal) {\n      setter(newVal);\n    }\n  };\n  def(ref, RefFlag, true);\n  def(ref, \"__v_isReadonly\" /* ReactiveFlags.IS_READONLY */, onlyGetter);\n  return ref;\n}\nvar WATCHER = \"watcher\";\nvar WATCHER_CB = \"\".concat(WATCHER, \" callback\");\nvar WATCHER_GETTER = \"\".concat(WATCHER, \" getter\");\nvar WATCHER_CLEANUP = \"\".concat(WATCHER, \" cleanup\");\n// Simple effect.\nfunction watchEffect(effect, options) {\n  return doWatch(effect, null, options);\n}\nfunction watchPostEffect(effect, options) {\n  return doWatch(effect, null,  true ? __assign(__assign({}, options), {\n    flush: 'post'\n  }) : 0);\n}\nfunction watchSyncEffect(effect, options) {\n  return doWatch(effect, null,  true ? __assign(__assign({}, options), {\n    flush: 'sync'\n  }) : 0);\n}\n// initial value for watchers to trigger on undefined initial values\nvar INITIAL_WATCHER_VALUE = {};\n// implementation\nfunction watch(source, cb, options) {\n  if ( true && typeof cb !== 'function') {\n    warn(\"`watch(fn, options?)` signature has been moved to a separate API. \" + \"Use `watchEffect(fn, options?)` instead. `watch` now only \" + \"supports `watch(source, cb, options?) signature.\");\n  }\n  return doWatch(source, cb, options);\n}\nfunction doWatch(source, cb, _a) {\n  var _b = _a === void 0 ? emptyObject : _a,\n    immediate = _b.immediate,\n    deep = _b.deep,\n    _c = _b.flush,\n    flush = _c === void 0 ? 'pre' : _c,\n    onTrack = _b.onTrack,\n    onTrigger = _b.onTrigger;\n  if ( true && !cb) {\n    if (immediate !== undefined) {\n      warn(\"watch() \\\"immediate\\\" option is only respected when using the \" + \"watch(source, callback, options?) signature.\");\n    }\n    if (deep !== undefined) {\n      warn(\"watch() \\\"deep\\\" option is only respected when using the \" + \"watch(source, callback, options?) signature.\");\n    }\n  }\n  var warnInvalidSource = function (s) {\n    warn(\"Invalid watch source: \".concat(s, \". A watch source can only be a getter/effect \") + \"function, a ref, a reactive object, or an array of these types.\");\n  };\n  var instance = currentInstance;\n  var call = function (fn, type, args) {\n    if (args === void 0) {\n      args = null;\n    }\n    return invokeWithErrorHandling(fn, null, args, instance, type);\n  };\n  var getter;\n  var forceTrigger = false;\n  var isMultiSource = false;\n  if (isRef(source)) {\n    getter = function () {\n      return source.value;\n    };\n    forceTrigger = isShallow(source);\n  } else if (isReactive(source)) {\n    getter = function () {\n      source.__ob__.dep.depend();\n      return source;\n    };\n    deep = true;\n  } else if (isArray(source)) {\n    isMultiSource = true;\n    forceTrigger = source.some(function (s) {\n      return isReactive(s) || isShallow(s);\n    });\n    getter = function () {\n      return source.map(function (s) {\n        if (isRef(s)) {\n          return s.value;\n        } else if (isReactive(s)) {\n          return traverse(s);\n        } else if (isFunction(s)) {\n          return call(s, WATCHER_GETTER);\n        } else {\n           true && warnInvalidSource(s);\n        }\n      });\n    };\n  } else if (isFunction(source)) {\n    if (cb) {\n      // getter with cb\n      getter = function () {\n        return call(source, WATCHER_GETTER);\n      };\n    } else {\n      // no cb -> simple effect\n      getter = function () {\n        if (instance && instance._isDestroyed) {\n          return;\n        }\n        if (cleanup) {\n          cleanup();\n        }\n        return call(source, WATCHER, [onCleanup]);\n      };\n    }\n  } else {\n    getter = noop;\n     true && warnInvalidSource(source);\n  }\n  if (cb && deep) {\n    var baseGetter_1 = getter;\n    getter = function () {\n      return traverse(baseGetter_1());\n    };\n  }\n  var cleanup;\n  var onCleanup = function (fn) {\n    cleanup = watcher.onStop = function () {\n      call(fn, WATCHER_CLEANUP);\n    };\n  };\n  // in SSR there is no need to setup an actual effect, and it should be noop\n  // unless it's eager\n  if (isServerRendering()) {\n    // we will also not call the invalidate callback (+ runner is not set up)\n    onCleanup = noop;\n    if (!cb) {\n      getter();\n    } else if (immediate) {\n      call(cb, WATCHER_CB, [getter(), isMultiSource ? [] : undefined, onCleanup]);\n    }\n    return noop;\n  }\n  var watcher = new Watcher(currentInstance, getter, noop, {\n    lazy: true\n  });\n  watcher.noRecurse = !cb;\n  var oldValue = isMultiSource ? [] : INITIAL_WATCHER_VALUE;\n  // overwrite default run\n  watcher.run = function () {\n    if (!watcher.active) {\n      return;\n    }\n    if (cb) {\n      // watch(source, cb)\n      var newValue = watcher.get();\n      if (deep || forceTrigger || (isMultiSource ? newValue.some(function (v, i) {\n        return hasChanged(v, oldValue[i]);\n      }) : hasChanged(newValue, oldValue))) {\n        // cleanup before running cb again\n        if (cleanup) {\n          cleanup();\n        }\n        call(cb, WATCHER_CB, [newValue,\n        // pass undefined as the old value when it's changed for the first time\n        oldValue === INITIAL_WATCHER_VALUE ? undefined : oldValue, onCleanup]);\n        oldValue = newValue;\n      }\n    } else {\n      // watchEffect\n      watcher.get();\n    }\n  };\n  if (flush === 'sync') {\n    watcher.update = watcher.run;\n  } else if (flush === 'post') {\n    watcher.post = true;\n    watcher.update = function () {\n      return queueWatcher(watcher);\n    };\n  } else {\n    // pre\n    watcher.update = function () {\n      if (instance && instance === currentInstance && !instance._isMounted) {\n        // pre-watcher triggered before\n        var buffer = instance._preWatchers || (instance._preWatchers = []);\n        if (buffer.indexOf(watcher) < 0) buffer.push(watcher);\n      } else {\n        queueWatcher(watcher);\n      }\n    };\n  }\n  if (true) {\n    watcher.onTrack = onTrack;\n    watcher.onTrigger = onTrigger;\n  }\n  // initial run\n  if (cb) {\n    if (immediate) {\n      watcher.run();\n    } else {\n      oldValue = watcher.get();\n    }\n  } else if (flush === 'post' && instance) {\n    instance.$once('hook:mounted', function () {\n      return watcher.get();\n    });\n  } else {\n    watcher.get();\n  }\n  return function () {\n    watcher.teardown();\n  };\n}\nvar activeEffectScope;\nvar EffectScope = /** @class */function () {\n  function EffectScope(detached) {\n    if (detached === void 0) {\n      detached = false;\n    }\n    this.detached = detached;\n    /**\n     * @internal\n     */\n    this.active = true;\n    /**\n     * @internal\n     */\n    this.effects = [];\n    /**\n     * @internal\n     */\n    this.cleanups = [];\n    this.parent = activeEffectScope;\n    if (!detached && activeEffectScope) {\n      this.index = (activeEffectScope.scopes || (activeEffectScope.scopes = [])).push(this) - 1;\n    }\n  }\n  EffectScope.prototype.run = function (fn) {\n    if (this.active) {\n      var currentEffectScope = activeEffectScope;\n      try {\n        activeEffectScope = this;\n        return fn();\n      } finally {\n        activeEffectScope = currentEffectScope;\n      }\n    } else if (true) {\n      warn(\"cannot run an inactive effect scope.\");\n    }\n  };\n  /**\n   * This should only be called on non-detached scopes\n   * @internal\n   */\n  EffectScope.prototype.on = function () {\n    activeEffectScope = this;\n  };\n  /**\n   * This should only be called on non-detached scopes\n   * @internal\n   */\n  EffectScope.prototype.off = function () {\n    activeEffectScope = this.parent;\n  };\n  EffectScope.prototype.stop = function (fromParent) {\n    if (this.active) {\n      var i = void 0,\n        l = void 0;\n      for (i = 0, l = this.effects.length; i < l; i++) {\n        this.effects[i].teardown();\n      }\n      for (i = 0, l = this.cleanups.length; i < l; i++) {\n        this.cleanups[i]();\n      }\n      if (this.scopes) {\n        for (i = 0, l = this.scopes.length; i < l; i++) {\n          this.scopes[i].stop(true);\n        }\n      }\n      // nested scope, dereference from parent to avoid memory leaks\n      if (!this.detached && this.parent && !fromParent) {\n        // optimized O(1) removal\n        var last = this.parent.scopes.pop();\n        if (last && last !== this) {\n          this.parent.scopes[this.index] = last;\n          last.index = this.index;\n        }\n      }\n      this.parent = undefined;\n      this.active = false;\n    }\n  };\n  return EffectScope;\n}();\nfunction effectScope(detached) {\n  return new EffectScope(detached);\n}\n/**\n * @internal\n */\nfunction recordEffectScope(effect, scope) {\n  if (scope === void 0) {\n    scope = activeEffectScope;\n  }\n  if (scope && scope.active) {\n    scope.effects.push(effect);\n  }\n}\nfunction getCurrentScope() {\n  return activeEffectScope;\n}\nfunction onScopeDispose(fn) {\n  if (activeEffectScope) {\n    activeEffectScope.cleanups.push(fn);\n  } else if (true) {\n    warn(\"onScopeDispose() is called when there is no active effect scope\" + \" to be associated with.\");\n  }\n}\nfunction provide(key, value) {\n  if (!currentInstance) {\n    if (true) {\n      warn(\"provide() can only be used inside setup().\");\n    }\n  } else {\n    // TS doesn't allow symbol as index type\n    resolveProvided(currentInstance)[key] = value;\n  }\n}\nfunction resolveProvided(vm) {\n  // by default an instance inherits its parent's provides object\n  // but when it needs to provide values of its own, it creates its\n  // own provides object using parent provides object as prototype.\n  // this way in `inject` we can simply look up injections from direct\n  // parent and let the prototype chain do the work.\n  var existing = vm._provided;\n  var parentProvides = vm.$parent && vm.$parent._provided;\n  if (parentProvides === existing) {\n    return vm._provided = Object.create(parentProvides);\n  } else {\n    return existing;\n  }\n}\nfunction inject(key, defaultValue, treatDefaultAsFactory) {\n  if (treatDefaultAsFactory === void 0) {\n    treatDefaultAsFactory = false;\n  }\n  // fallback to `currentRenderingInstance` so that this can be called in\n  // a functional component\n  var instance = currentInstance;\n  if (instance) {\n    // #2400\n    // to support `app.use` plugins,\n    // fallback to appContext's `provides` if the instance is at root\n    var provides = instance.$parent && instance.$parent._provided;\n    if (provides && key in provides) {\n      // TS doesn't allow symbol as index type\n      return provides[key];\n    } else if (arguments.length > 1) {\n      return treatDefaultAsFactory && isFunction(defaultValue) ? defaultValue.call(instance) : defaultValue;\n    } else if (true) {\n      warn(\"injection \\\"\".concat(String(key), \"\\\" not found.\"));\n    }\n  } else if (true) {\n    warn(\"inject() can only be used inside setup() or functional components.\");\n  }\n}\nvar normalizeEvent = cached(function (name) {\n  var passive = name.charAt(0) === '&';\n  name = passive ? name.slice(1) : name;\n  var once = name.charAt(0) === '~'; // Prefixed last, checked first\n  name = once ? name.slice(1) : name;\n  var capture = name.charAt(0) === '!';\n  name = capture ? name.slice(1) : name;\n  return {\n    name: name,\n    once: once,\n    capture: capture,\n    passive: passive\n  };\n});\nfunction createFnInvoker(fns, vm) {\n  function invoker() {\n    var fns = invoker.fns;\n    if (isArray(fns)) {\n      var cloned = fns.slice();\n      for (var i = 0; i < cloned.length; i++) {\n        invokeWithErrorHandling(cloned[i], null, arguments, vm, \"v-on handler\");\n      }\n    } else {\n      // return handler return value for single handlers\n      return invokeWithErrorHandling(fns, null, arguments, vm, \"v-on handler\");\n    }\n  }\n  invoker.fns = fns;\n  return invoker;\n}\nfunction updateListeners(on, oldOn, add, remove, createOnceHandler, vm) {\n  var name, cur, old, event;\n  for (name in on) {\n    cur = on[name];\n    old = oldOn[name];\n    event = normalizeEvent(name);\n    if (isUndef(cur)) {\n       true && warn(\"Invalid handler for event \\\"\".concat(event.name, \"\\\": got \") + String(cur), vm);\n    } else if (isUndef(old)) {\n      if (isUndef(cur.fns)) {\n        cur = on[name] = createFnInvoker(cur, vm);\n      }\n      if (isTrue(event.once)) {\n        cur = on[name] = createOnceHandler(event.name, cur, event.capture);\n      }\n      add(event.name, cur, event.capture, event.passive, event.params);\n    } else if (cur !== old) {\n      old.fns = cur;\n      on[name] = old;\n    }\n  }\n  for (name in oldOn) {\n    if (isUndef(on[name])) {\n      event = normalizeEvent(name);\n      remove(event.name, oldOn[name], event.capture);\n    }\n  }\n}\nfunction mergeVNodeHook(def, hookKey, hook) {\n  if (def instanceof VNode) {\n    def = def.data.hook || (def.data.hook = {});\n  }\n  var invoker;\n  var oldHook = def[hookKey];\n  function wrappedHook() {\n    hook.apply(this, arguments);\n    // important: remove merged hook to ensure it's called only once\n    // and prevent memory leak\n    remove$2(invoker.fns, wrappedHook);\n  }\n  if (isUndef(oldHook)) {\n    // no existing hook\n    invoker = createFnInvoker([wrappedHook]);\n  } else {\n    /* istanbul ignore if */\n    if (isDef(oldHook.fns) && isTrue(oldHook.merged)) {\n      // already a merged invoker\n      invoker = oldHook;\n      invoker.fns.push(wrappedHook);\n    } else {\n      // existing plain hook\n      invoker = createFnInvoker([oldHook, wrappedHook]);\n    }\n  }\n  invoker.merged = true;\n  def[hookKey] = invoker;\n}\nfunction extractPropsFromVNodeData(data, Ctor, tag) {\n  // we are only extracting raw values here.\n  // validation and default values are handled in the child\n  // component itself.\n  var propOptions = Ctor.options.props;\n  if (isUndef(propOptions)) {\n    return;\n  }\n  var res = {};\n  var attrs = data.attrs,\n    props = data.props;\n  if (isDef(attrs) || isDef(props)) {\n    for (var key in propOptions) {\n      var altKey = hyphenate(key);\n      if (true) {\n        var keyInLowerCase = key.toLowerCase();\n        if (key !== keyInLowerCase && attrs && hasOwn(attrs, keyInLowerCase)) {\n          tip(\"Prop \\\"\".concat(keyInLowerCase, \"\\\" is passed to component \") + \"\".concat(formatComponentName(\n          // @ts-expect-error tag is string\n          tag || Ctor), \", but the declared prop name is\") + \" \\\"\".concat(key, \"\\\". \") + \"Note that HTML attributes are case-insensitive and camelCased \" + \"props need to use their kebab-case equivalents when using in-DOM \" + \"templates. You should probably use \\\"\".concat(altKey, \"\\\" instead of \\\"\").concat(key, \"\\\".\"));\n        }\n      }\n      checkProp(res, props, key, altKey, true) || checkProp(res, attrs, key, altKey, false);\n    }\n  }\n  return res;\n}\nfunction checkProp(res, hash, key, altKey, preserve) {\n  if (isDef(hash)) {\n    if (hasOwn(hash, key)) {\n      res[key] = hash[key];\n      if (!preserve) {\n        delete hash[key];\n      }\n      return true;\n    } else if (hasOwn(hash, altKey)) {\n      res[key] = hash[altKey];\n      if (!preserve) {\n        delete hash[altKey];\n      }\n      return true;\n    }\n  }\n  return false;\n}\n\n// The template compiler attempts to minimize the need for normalization by\n// statically analyzing the template at compile time.\n//\n// For plain HTML markup, normalization can be completely skipped because the\n// generated render function is guaranteed to return Array<VNode>. There are\n// two cases where extra normalization is needed:\n// 1. When the children contains components - because a functional component\n// may return an Array instead of a single root. In this case, just a simple\n// normalization is needed - if any child is an Array, we flatten the whole\n// thing with Array.prototype.concat. It is guaranteed to be only 1-level deep\n// because functional components already normalize their own children.\nfunction simpleNormalizeChildren(children) {\n  for (var i = 0; i < children.length; i++) {\n    if (isArray(children[i])) {\n      return Array.prototype.concat.apply([], children);\n    }\n  }\n  return children;\n}\n// 2. When the children contains constructs that always generated nested Arrays,\n// e.g. <template>, <slot>, v-for, or when the children is provided by user\n// with hand-written render functions / JSX. In such cases a full normalization\n// is needed to cater to all possible types of children values.\nfunction normalizeChildren(children) {\n  return isPrimitive(children) ? [createTextVNode(children)] : isArray(children) ? normalizeArrayChildren(children) : undefined;\n}\nfunction isTextNode(node) {\n  return isDef(node) && isDef(node.text) && isFalse(node.isComment);\n}\nfunction normalizeArrayChildren(children, nestedIndex) {\n  var res = [];\n  var i, c, lastIndex, last;\n  for (i = 0; i < children.length; i++) {\n    c = children[i];\n    if (isUndef(c) || typeof c === 'boolean') continue;\n    lastIndex = res.length - 1;\n    last = res[lastIndex];\n    //  nested\n    if (isArray(c)) {\n      if (c.length > 0) {\n        c = normalizeArrayChildren(c, \"\".concat(nestedIndex || '', \"_\").concat(i));\n        // merge adjacent text nodes\n        if (isTextNode(c[0]) && isTextNode(last)) {\n          res[lastIndex] = createTextVNode(last.text + c[0].text);\n          c.shift();\n        }\n        res.push.apply(res, c);\n      }\n    } else if (isPrimitive(c)) {\n      if (isTextNode(last)) {\n        // merge adjacent text nodes\n        // this is necessary for SSR hydration because text nodes are\n        // essentially merged when rendered to HTML strings\n        res[lastIndex] = createTextVNode(last.text + c);\n      } else if (c !== '') {\n        // convert primitive to vnode\n        res.push(createTextVNode(c));\n      }\n    } else {\n      if (isTextNode(c) && isTextNode(last)) {\n        // merge adjacent text nodes\n        res[lastIndex] = createTextVNode(last.text + c.text);\n      } else {\n        // default key for nested array children (likely generated by v-for)\n        if (isTrue(children._isVList) && isDef(c.tag) && isUndef(c.key) && isDef(nestedIndex)) {\n          c.key = \"__vlist\".concat(nestedIndex, \"_\").concat(i, \"__\");\n        }\n        res.push(c);\n      }\n    }\n  }\n  return res;\n}\n\n/**\n * Runtime helper for rendering v-for lists.\n */\nfunction renderList(val, render) {\n  var ret = null,\n    i,\n    l,\n    keys,\n    key;\n  if (isArray(val) || typeof val === 'string') {\n    ret = new Array(val.length);\n    for (i = 0, l = val.length; i < l; i++) {\n      ret[i] = render(val[i], i);\n    }\n  } else if (typeof val === 'number') {\n    ret = new Array(val);\n    for (i = 0; i < val; i++) {\n      ret[i] = render(i + 1, i);\n    }\n  } else if (isObject(val)) {\n    if (hasSymbol && val[Symbol.iterator]) {\n      ret = [];\n      var iterator = val[Symbol.iterator]();\n      var result = iterator.next();\n      while (!result.done) {\n        ret.push(render(result.value, ret.length));\n        result = iterator.next();\n      }\n    } else {\n      keys = Object.keys(val);\n      ret = new Array(keys.length);\n      for (i = 0, l = keys.length; i < l; i++) {\n        key = keys[i];\n        ret[i] = render(val[key], key, i);\n      }\n    }\n  }\n  if (!isDef(ret)) {\n    ret = [];\n  }\n  ret._isVList = true;\n  return ret;\n}\n\n/**\n * Runtime helper for rendering <slot>\n */\nfunction renderSlot(name, fallbackRender, props, bindObject) {\n  var scopedSlotFn = this.$scopedSlots[name];\n  var nodes;\n  if (scopedSlotFn) {\n    // scoped slot\n    props = props || {};\n    if (bindObject) {\n      if ( true && !isObject(bindObject)) {\n        warn('slot v-bind without argument expects an Object', this);\n      }\n      props = extend(extend({}, bindObject), props);\n    }\n    nodes = scopedSlotFn(props) || (isFunction(fallbackRender) ? fallbackRender() : fallbackRender);\n  } else {\n    nodes = this.$slots[name] || (isFunction(fallbackRender) ? fallbackRender() : fallbackRender);\n  }\n  var target = props && props.slot;\n  if (target) {\n    return this.$createElement('template', {\n      slot: target\n    }, nodes);\n  } else {\n    return nodes;\n  }\n}\n\n/**\n * Runtime helper for resolving filters\n */\nfunction resolveFilter(id) {\n  return resolveAsset(this.$options, 'filters', id, true) || identity;\n}\nfunction isKeyNotMatch(expect, actual) {\n  if (isArray(expect)) {\n    return expect.indexOf(actual) === -1;\n  } else {\n    return expect !== actual;\n  }\n}\n/**\n * Runtime helper for checking keyCodes from config.\n * exposed as Vue.prototype._k\n * passing in eventKeyName as last argument separately for backwards compat\n */\nfunction checkKeyCodes(eventKeyCode, key, builtInKeyCode, eventKeyName, builtInKeyName) {\n  var mappedKeyCode = config.keyCodes[key] || builtInKeyCode;\n  if (builtInKeyName && eventKeyName && !config.keyCodes[key]) {\n    return isKeyNotMatch(builtInKeyName, eventKeyName);\n  } else if (mappedKeyCode) {\n    return isKeyNotMatch(mappedKeyCode, eventKeyCode);\n  } else if (eventKeyName) {\n    return hyphenate(eventKeyName) !== key;\n  }\n  return eventKeyCode === undefined;\n}\n\n/**\n * Runtime helper for merging v-bind=\"object\" into a VNode's data.\n */\nfunction bindObjectProps(data, tag, value, asProp, isSync) {\n  if (value) {\n    if (!isObject(value)) {\n       true && warn('v-bind without argument expects an Object or Array value', this);\n    } else {\n      if (isArray(value)) {\n        value = toObject(value);\n      }\n      var hash = void 0;\n      var _loop_1 = function (key) {\n        if (key === 'class' || key === 'style' || isReservedAttribute(key)) {\n          hash = data;\n        } else {\n          var type = data.attrs && data.attrs.type;\n          hash = asProp || config.mustUseProp(tag, type, key) ? data.domProps || (data.domProps = {}) : data.attrs || (data.attrs = {});\n        }\n        var camelizedKey = camelize(key);\n        var hyphenatedKey = hyphenate(key);\n        if (!(camelizedKey in hash) && !(hyphenatedKey in hash)) {\n          hash[key] = value[key];\n          if (isSync) {\n            var on = data.on || (data.on = {});\n            on[\"update:\".concat(key)] = function ($event) {\n              value[key] = $event;\n            };\n          }\n        }\n      };\n      for (var key in value) {\n        _loop_1(key);\n      }\n    }\n  }\n  return data;\n}\n\n/**\n * Runtime helper for rendering static trees.\n */\nfunction renderStatic(index, isInFor) {\n  var cached = this._staticTrees || (this._staticTrees = []);\n  var tree = cached[index];\n  // if has already-rendered static tree and not inside v-for,\n  // we can reuse the same tree.\n  if (tree && !isInFor) {\n    return tree;\n  }\n  // otherwise, render a fresh tree.\n  tree = cached[index] = this.$options.staticRenderFns[index].call(this._renderProxy, this._c, this // for render fns generated for functional component templates\n  );\n\n  markStatic(tree, \"__static__\".concat(index), false);\n  return tree;\n}\n/**\n * Runtime helper for v-once.\n * Effectively it means marking the node as static with a unique key.\n */\nfunction markOnce(tree, index, key) {\n  markStatic(tree, \"__once__\".concat(index).concat(key ? \"_\".concat(key) : \"\"), true);\n  return tree;\n}\nfunction markStatic(tree, key, isOnce) {\n  if (isArray(tree)) {\n    for (var i = 0; i < tree.length; i++) {\n      if (tree[i] && typeof tree[i] !== 'string') {\n        markStaticNode(tree[i], \"\".concat(key, \"_\").concat(i), isOnce);\n      }\n    }\n  } else {\n    markStaticNode(tree, key, isOnce);\n  }\n}\nfunction markStaticNode(node, key, isOnce) {\n  node.isStatic = true;\n  node.key = key;\n  node.isOnce = isOnce;\n}\nfunction bindObjectListeners(data, value) {\n  if (value) {\n    if (!isPlainObject(value)) {\n       true && warn('v-on without argument expects an Object value', this);\n    } else {\n      var on = data.on = data.on ? extend({}, data.on) : {};\n      for (var key in value) {\n        var existing = on[key];\n        var ours = value[key];\n        on[key] = existing ? [].concat(existing, ours) : ours;\n      }\n    }\n  }\n  return data;\n}\nfunction resolveScopedSlots(fns, res,\n// the following are added in 2.6\nhasDynamicKeys, contentHashKey) {\n  res = res || {\n    $stable: !hasDynamicKeys\n  };\n  for (var i = 0; i < fns.length; i++) {\n    var slot = fns[i];\n    if (isArray(slot)) {\n      resolveScopedSlots(slot, res, hasDynamicKeys);\n    } else if (slot) {\n      // marker for reverse proxying v-slot without scope on this.$slots\n      // @ts-expect-error\n      if (slot.proxy) {\n        // @ts-expect-error\n        slot.fn.proxy = true;\n      }\n      res[slot.key] = slot.fn;\n    }\n  }\n  if (contentHashKey) {\n    res.$key = contentHashKey;\n  }\n  return res;\n}\n\n// helper to process dynamic keys for dynamic arguments in v-bind and v-on.\nfunction bindDynamicKeys(baseObj, values) {\n  for (var i = 0; i < values.length; i += 2) {\n    var key = values[i];\n    if (typeof key === 'string' && key) {\n      baseObj[values[i]] = values[i + 1];\n    } else if ( true && key !== '' && key !== null) {\n      // null is a special value for explicitly removing a binding\n      warn(\"Invalid value for dynamic directive argument (expected string or null): \".concat(key), this);\n    }\n  }\n  return baseObj;\n}\n// helper to dynamically append modifier runtime markers to event names.\n// ensure only append when value is already string, otherwise it will be cast\n// to string and cause the type check to miss.\nfunction prependModifier(value, symbol) {\n  return typeof value === 'string' ? symbol + value : value;\n}\nfunction installRenderHelpers(target) {\n  target._o = markOnce;\n  target._n = toNumber;\n  target._s = toString;\n  target._l = renderList;\n  target._t = renderSlot;\n  target._q = looseEqual;\n  target._i = looseIndexOf;\n  target._m = renderStatic;\n  target._f = resolveFilter;\n  target._k = checkKeyCodes;\n  target._b = bindObjectProps;\n  target._v = createTextVNode;\n  target._e = createEmptyVNode;\n  target._u = resolveScopedSlots;\n  target._g = bindObjectListeners;\n  target._d = bindDynamicKeys;\n  target._p = prependModifier;\n}\n\n/**\n * Runtime helper for resolving raw children VNodes into a slot object.\n */\nfunction resolveSlots(children, context) {\n  if (!children || !children.length) {\n    return {};\n  }\n  var slots = {};\n  for (var i = 0, l = children.length; i < l; i++) {\n    var child = children[i];\n    var data = child.data;\n    // remove slot attribute if the node is resolved as a Vue slot node\n    if (data && data.attrs && data.attrs.slot) {\n      delete data.attrs.slot;\n    }\n    // named slots should only be respected if the vnode was rendered in the\n    // same context.\n    if ((child.context === context || child.fnContext === context) && data && data.slot != null) {\n      var name_1 = data.slot;\n      var slot = slots[name_1] || (slots[name_1] = []);\n      if (child.tag === 'template') {\n        slot.push.apply(slot, child.children || []);\n      } else {\n        slot.push(child);\n      }\n    } else {\n      (slots.default || (slots.default = [])).push(child);\n    }\n  }\n  // ignore slots that contains only whitespace\n  for (var name_2 in slots) {\n    if (slots[name_2].every(isWhitespace)) {\n      delete slots[name_2];\n    }\n  }\n  return slots;\n}\nfunction isWhitespace(node) {\n  return node.isComment && !node.asyncFactory || node.text === ' ';\n}\nfunction isAsyncPlaceholder(node) {\n  // @ts-expect-error not really boolean type\n  return node.isComment && node.asyncFactory;\n}\nfunction normalizeScopedSlots(ownerVm, scopedSlots, normalSlots, prevScopedSlots) {\n  var res;\n  var hasNormalSlots = Object.keys(normalSlots).length > 0;\n  var isStable = scopedSlots ? !!scopedSlots.$stable : !hasNormalSlots;\n  var key = scopedSlots && scopedSlots.$key;\n  if (!scopedSlots) {\n    res = {};\n  } else if (scopedSlots._normalized) {\n    // fast path 1: child component re-render only, parent did not change\n    return scopedSlots._normalized;\n  } else if (isStable && prevScopedSlots && prevScopedSlots !== emptyObject && key === prevScopedSlots.$key && !hasNormalSlots && !prevScopedSlots.$hasNormal) {\n    // fast path 2: stable scoped slots w/ no normal slots to proxy,\n    // only need to normalize once\n    return prevScopedSlots;\n  } else {\n    res = {};\n    for (var key_1 in scopedSlots) {\n      if (scopedSlots[key_1] && key_1[0] !== '$') {\n        res[key_1] = normalizeScopedSlot(ownerVm, normalSlots, key_1, scopedSlots[key_1]);\n      }\n    }\n  }\n  // expose normal slots on scopedSlots\n  for (var key_2 in normalSlots) {\n    if (!(key_2 in res)) {\n      res[key_2] = proxyNormalSlot(normalSlots, key_2);\n    }\n  }\n  // avoriaz seems to mock a non-extensible $scopedSlots object\n  // and when that is passed down this would cause an error\n  if (scopedSlots && Object.isExtensible(scopedSlots)) {\n    scopedSlots._normalized = res;\n  }\n  def(res, '$stable', isStable);\n  def(res, '$key', key);\n  def(res, '$hasNormal', hasNormalSlots);\n  return res;\n}\nfunction normalizeScopedSlot(vm, normalSlots, key, fn) {\n  var normalized = function () {\n    var cur = currentInstance;\n    setCurrentInstance(vm);\n    var res = arguments.length ? fn.apply(null, arguments) : fn({});\n    res = res && typeof res === 'object' && !isArray(res) ? [res] // single vnode\n    : normalizeChildren(res);\n    var vnode = res && res[0];\n    setCurrentInstance(cur);\n    return res && (!vnode || res.length === 1 && vnode.isComment && !isAsyncPlaceholder(vnode)) // #9658, #10391\n    ? undefined : res;\n  };\n  // this is a slot using the new v-slot syntax without scope. although it is\n  // compiled as a scoped slot, render fn users would expect it to be present\n  // on this.$slots because the usage is semantically a normal slot.\n  if (fn.proxy) {\n    Object.defineProperty(normalSlots, key, {\n      get: normalized,\n      enumerable: true,\n      configurable: true\n    });\n  }\n  return normalized;\n}\nfunction proxyNormalSlot(slots, key) {\n  return function () {\n    return slots[key];\n  };\n}\nfunction initSetup(vm) {\n  var options = vm.$options;\n  var setup = options.setup;\n  if (setup) {\n    var ctx = vm._setupContext = createSetupContext(vm);\n    setCurrentInstance(vm);\n    pushTarget();\n    var setupResult = invokeWithErrorHandling(setup, null, [vm._props || shallowReactive({}), ctx], vm, \"setup\");\n    popTarget();\n    setCurrentInstance();\n    if (isFunction(setupResult)) {\n      // render function\n      // @ts-ignore\n      options.render = setupResult;\n    } else if (isObject(setupResult)) {\n      // bindings\n      if ( true && setupResult instanceof VNode) {\n        warn(\"setup() should not return VNodes directly - \" + \"return a render function instead.\");\n      }\n      vm._setupState = setupResult;\n      // __sfc indicates compiled bindings from <script setup>\n      if (!setupResult.__sfc) {\n        for (var key in setupResult) {\n          if (!isReserved(key)) {\n            proxyWithRefUnwrap(vm, setupResult, key);\n          } else if (true) {\n            warn(\"Avoid using variables that start with _ or $ in setup().\");\n          }\n        }\n      } else {\n        // exposed for compiled render fn\n        var proxy = vm._setupProxy = {};\n        for (var key in setupResult) {\n          if (key !== '__sfc') {\n            proxyWithRefUnwrap(proxy, setupResult, key);\n          }\n        }\n      }\n    } else if ( true && setupResult !== undefined) {\n      warn(\"setup() should return an object. Received: \".concat(setupResult === null ? 'null' : typeof setupResult));\n    }\n  }\n}\nfunction createSetupContext(vm) {\n  var exposeCalled = false;\n  return {\n    get attrs() {\n      if (!vm._attrsProxy) {\n        var proxy = vm._attrsProxy = {};\n        def(proxy, '_v_attr_proxy', true);\n        syncSetupProxy(proxy, vm.$attrs, emptyObject, vm, '$attrs');\n      }\n      return vm._attrsProxy;\n    },\n    get listeners() {\n      if (!vm._listenersProxy) {\n        var proxy = vm._listenersProxy = {};\n        syncSetupProxy(proxy, vm.$listeners, emptyObject, vm, '$listeners');\n      }\n      return vm._listenersProxy;\n    },\n    get slots() {\n      return initSlotsProxy(vm);\n    },\n    emit: bind(vm.$emit, vm),\n    expose: function (exposed) {\n      if (true) {\n        if (exposeCalled) {\n          warn(\"expose() should be called only once per setup().\", vm);\n        }\n        exposeCalled = true;\n      }\n      if (exposed) {\n        Object.keys(exposed).forEach(function (key) {\n          return proxyWithRefUnwrap(vm, exposed, key);\n        });\n      }\n    }\n  };\n}\nfunction syncSetupProxy(to, from, prev, instance, type) {\n  var changed = false;\n  for (var key in from) {\n    if (!(key in to)) {\n      changed = true;\n      defineProxyAttr(to, key, instance, type);\n    } else if (from[key] !== prev[key]) {\n      changed = true;\n    }\n  }\n  for (var key in to) {\n    if (!(key in from)) {\n      changed = true;\n      delete to[key];\n    }\n  }\n  return changed;\n}\nfunction defineProxyAttr(proxy, key, instance, type) {\n  Object.defineProperty(proxy, key, {\n    enumerable: true,\n    configurable: true,\n    get: function () {\n      return instance[type][key];\n    }\n  });\n}\nfunction initSlotsProxy(vm) {\n  if (!vm._slotsProxy) {\n    syncSetupSlots(vm._slotsProxy = {}, vm.$scopedSlots);\n  }\n  return vm._slotsProxy;\n}\nfunction syncSetupSlots(to, from) {\n  for (var key in from) {\n    to[key] = from[key];\n  }\n  for (var key in to) {\n    if (!(key in from)) {\n      delete to[key];\n    }\n  }\n}\n/**\n * @internal use manual type def because public setup context type relies on\n * legacy VNode types\n */\nfunction useSlots() {\n  return getContext().slots;\n}\n/**\n * @internal use manual type def because public setup context type relies on\n * legacy VNode types\n */\nfunction useAttrs() {\n  return getContext().attrs;\n}\n/**\n * Vue 2 only\n * @internal use manual type def because public setup context type relies on\n * legacy VNode types\n */\nfunction useListeners() {\n  return getContext().listeners;\n}\nfunction getContext() {\n  if ( true && !currentInstance) {\n    warn(\"useContext() called without active instance.\");\n  }\n  var vm = currentInstance;\n  return vm._setupContext || (vm._setupContext = createSetupContext(vm));\n}\n/**\n * Runtime helper for merging default declarations. Imported by compiled code\n * only.\n * @internal\n */\nfunction mergeDefaults(raw, defaults) {\n  var props = isArray(raw) ? raw.reduce(function (normalized, p) {\n    return normalized[p] = {}, normalized;\n  }, {}) : raw;\n  for (var key in defaults) {\n    var opt = props[key];\n    if (opt) {\n      if (isArray(opt) || isFunction(opt)) {\n        props[key] = {\n          type: opt,\n          default: defaults[key]\n        };\n      } else {\n        opt.default = defaults[key];\n      }\n    } else if (opt === null) {\n      props[key] = {\n        default: defaults[key]\n      };\n    } else if (true) {\n      warn(\"props default key \\\"\".concat(key, \"\\\" has no corresponding declaration.\"));\n    }\n  }\n  return props;\n}\nfunction initRender(vm) {\n  vm._vnode = null; // the root of the child tree\n  vm._staticTrees = null; // v-once cached trees\n  var options = vm.$options;\n  var parentVnode = vm.$vnode = options._parentVnode; // the placeholder node in parent tree\n  var renderContext = parentVnode && parentVnode.context;\n  vm.$slots = resolveSlots(options._renderChildren, renderContext);\n  vm.$scopedSlots = parentVnode ? normalizeScopedSlots(vm.$parent, parentVnode.data.scopedSlots, vm.$slots) : emptyObject;\n  // bind the createElement fn to this instance\n  // so that we get proper render context inside it.\n  // args order: tag, data, children, normalizationType, alwaysNormalize\n  // internal version is used by render functions compiled from templates\n  // @ts-expect-error\n  vm._c = function (a, b, c, d) {\n    return createElement$1(vm, a, b, c, d, false);\n  };\n  // normalization is always applied for the public version, used in\n  // user-written render functions.\n  // @ts-expect-error\n  vm.$createElement = function (a, b, c, d) {\n    return createElement$1(vm, a, b, c, d, true);\n  };\n  // $attrs & $listeners are exposed for easier HOC creation.\n  // they need to be reactive so that HOCs using them are always updated\n  var parentData = parentVnode && parentVnode.data;\n  /* istanbul ignore else */\n  if (true) {\n    defineReactive(vm, '$attrs', parentData && parentData.attrs || emptyObject, function () {\n      !isUpdatingChildComponent && warn(\"$attrs is readonly.\", vm);\n    }, true);\n    defineReactive(vm, '$listeners', options._parentListeners || emptyObject, function () {\n      !isUpdatingChildComponent && warn(\"$listeners is readonly.\", vm);\n    }, true);\n  } else {}\n}\nvar currentRenderingInstance = null;\nfunction renderMixin(Vue) {\n  // install runtime convenience helpers\n  installRenderHelpers(Vue.prototype);\n  Vue.prototype.$nextTick = function (fn) {\n    return nextTick(fn, this);\n  };\n  Vue.prototype._render = function () {\n    var vm = this;\n    var _a = vm.$options,\n      render = _a.render,\n      _parentVnode = _a._parentVnode;\n    if (_parentVnode && vm._isMounted) {\n      vm.$scopedSlots = normalizeScopedSlots(vm.$parent, _parentVnode.data.scopedSlots, vm.$slots, vm.$scopedSlots);\n      if (vm._slotsProxy) {\n        syncSetupSlots(vm._slotsProxy, vm.$scopedSlots);\n      }\n    }\n    // set parent vnode. this allows render functions to have access\n    // to the data on the placeholder node.\n    vm.$vnode = _parentVnode;\n    // render self\n    var vnode;\n    try {\n      // There's no need to maintain a stack because all render fns are called\n      // separately from one another. Nested component's render fns are called\n      // when parent component is patched.\n      setCurrentInstance(vm);\n      currentRenderingInstance = vm;\n      vnode = render.call(vm._renderProxy, vm.$createElement);\n    } catch (e) {\n      handleError(e, vm, \"render\");\n      // return error render result,\n      // or previous vnode to prevent render error causing blank component\n      /* istanbul ignore else */\n      if ( true && vm.$options.renderError) {\n        try {\n          vnode = vm.$options.renderError.call(vm._renderProxy, vm.$createElement, e);\n        } catch (e) {\n          handleError(e, vm, \"renderError\");\n          vnode = vm._vnode;\n        }\n      } else {\n        vnode = vm._vnode;\n      }\n    } finally {\n      currentRenderingInstance = null;\n      setCurrentInstance();\n    }\n    // if the returned array contains only a single node, allow it\n    if (isArray(vnode) && vnode.length === 1) {\n      vnode = vnode[0];\n    }\n    // return empty vnode in case the render function errored out\n    if (!(vnode instanceof VNode)) {\n      if ( true && isArray(vnode)) {\n        warn('Multiple root nodes returned from render function. Render function ' + 'should return a single root node.', vm);\n      }\n      vnode = createEmptyVNode();\n    }\n    // set parent\n    vnode.parent = _parentVnode;\n    return vnode;\n  };\n}\nfunction ensureCtor(comp, base) {\n  if (comp.__esModule || hasSymbol && comp[Symbol.toStringTag] === 'Module') {\n    comp = comp.default;\n  }\n  return isObject(comp) ? base.extend(comp) : comp;\n}\nfunction createAsyncPlaceholder(factory, data, context, children, tag) {\n  var node = createEmptyVNode();\n  node.asyncFactory = factory;\n  node.asyncMeta = {\n    data: data,\n    context: context,\n    children: children,\n    tag: tag\n  };\n  return node;\n}\nfunction resolveAsyncComponent(factory, baseCtor) {\n  if (isTrue(factory.error) && isDef(factory.errorComp)) {\n    return factory.errorComp;\n  }\n  if (isDef(factory.resolved)) {\n    return factory.resolved;\n  }\n  var owner = currentRenderingInstance;\n  if (owner && isDef(factory.owners) && factory.owners.indexOf(owner) === -1) {\n    // already pending\n    factory.owners.push(owner);\n  }\n  if (isTrue(factory.loading) && isDef(factory.loadingComp)) {\n    return factory.loadingComp;\n  }\n  if (owner && !isDef(factory.owners)) {\n    var owners_1 = factory.owners = [owner];\n    var sync_1 = true;\n    var timerLoading_1 = null;\n    var timerTimeout_1 = null;\n    owner.$on('hook:destroyed', function () {\n      return remove$2(owners_1, owner);\n    });\n    var forceRender_1 = function (renderCompleted) {\n      for (var i = 0, l = owners_1.length; i < l; i++) {\n        owners_1[i].$forceUpdate();\n      }\n      if (renderCompleted) {\n        owners_1.length = 0;\n        if (timerLoading_1 !== null) {\n          clearTimeout(timerLoading_1);\n          timerLoading_1 = null;\n        }\n        if (timerTimeout_1 !== null) {\n          clearTimeout(timerTimeout_1);\n          timerTimeout_1 = null;\n        }\n      }\n    };\n    var resolve = once(function (res) {\n      // cache resolved\n      factory.resolved = ensureCtor(res, baseCtor);\n      // invoke callbacks only if this is not a synchronous resolve\n      // (async resolves are shimmed as synchronous during SSR)\n      if (!sync_1) {\n        forceRender_1(true);\n      } else {\n        owners_1.length = 0;\n      }\n    });\n    var reject_1 = once(function (reason) {\n       true && warn(\"Failed to resolve async component: \".concat(String(factory)) + (reason ? \"\\nReason: \".concat(reason) : ''));\n      if (isDef(factory.errorComp)) {\n        factory.error = true;\n        forceRender_1(true);\n      }\n    });\n    var res_1 = factory(resolve, reject_1);\n    if (isObject(res_1)) {\n      if (isPromise(res_1)) {\n        // () => Promise\n        if (isUndef(factory.resolved)) {\n          res_1.then(resolve, reject_1);\n        }\n      } else if (isPromise(res_1.component)) {\n        res_1.component.then(resolve, reject_1);\n        if (isDef(res_1.error)) {\n          factory.errorComp = ensureCtor(res_1.error, baseCtor);\n        }\n        if (isDef(res_1.loading)) {\n          factory.loadingComp = ensureCtor(res_1.loading, baseCtor);\n          if (res_1.delay === 0) {\n            factory.loading = true;\n          } else {\n            // @ts-expect-error NodeJS timeout type\n            timerLoading_1 = setTimeout(function () {\n              timerLoading_1 = null;\n              if (isUndef(factory.resolved) && isUndef(factory.error)) {\n                factory.loading = true;\n                forceRender_1(false);\n              }\n            }, res_1.delay || 200);\n          }\n        }\n        if (isDef(res_1.timeout)) {\n          // @ts-expect-error NodeJS timeout type\n          timerTimeout_1 = setTimeout(function () {\n            timerTimeout_1 = null;\n            if (isUndef(factory.resolved)) {\n              reject_1( true ? \"timeout (\".concat(res_1.timeout, \"ms)\") : 0);\n            }\n          }, res_1.timeout);\n        }\n      }\n    }\n    sync_1 = false;\n    // return in case resolved synchronously\n    return factory.loading ? factory.loadingComp : factory.resolved;\n  }\n}\nfunction getFirstComponentChild(children) {\n  if (isArray(children)) {\n    for (var i = 0; i < children.length; i++) {\n      var c = children[i];\n      if (isDef(c) && (isDef(c.componentOptions) || isAsyncPlaceholder(c))) {\n        return c;\n      }\n    }\n  }\n}\nvar SIMPLE_NORMALIZE = 1;\nvar ALWAYS_NORMALIZE = 2;\n// wrapper function for providing a more flexible interface\n// without getting yelled at by flow\nfunction createElement$1(context, tag, data, children, normalizationType, alwaysNormalize) {\n  if (isArray(data) || isPrimitive(data)) {\n    normalizationType = children;\n    children = data;\n    data = undefined;\n  }\n  if (isTrue(alwaysNormalize)) {\n    normalizationType = ALWAYS_NORMALIZE;\n  }\n  return _createElement(context, tag, data, children, normalizationType);\n}\nfunction _createElement(context, tag, data, children, normalizationType) {\n  if (isDef(data) && isDef(data.__ob__)) {\n     true && warn(\"Avoid using observed data object as vnode data: \".concat(JSON.stringify(data), \"\\n\") + 'Always create fresh vnode data objects in each render!', context);\n    return createEmptyVNode();\n  }\n  // object syntax in v-bind\n  if (isDef(data) && isDef(data.is)) {\n    tag = data.is;\n  }\n  if (!tag) {\n    // in case of component :is set to falsy value\n    return createEmptyVNode();\n  }\n  // warn against non-primitive key\n  if ( true && isDef(data) && isDef(data.key) && !isPrimitive(data.key)) {\n    warn('Avoid using non-primitive value as key, ' + 'use string/number value instead.', context);\n  }\n  // support single function children as default scoped slot\n  if (isArray(children) && isFunction(children[0])) {\n    data = data || {};\n    data.scopedSlots = {\n      default: children[0]\n    };\n    children.length = 0;\n  }\n  if (normalizationType === ALWAYS_NORMALIZE) {\n    children = normalizeChildren(children);\n  } else if (normalizationType === SIMPLE_NORMALIZE) {\n    children = simpleNormalizeChildren(children);\n  }\n  var vnode, ns;\n  if (typeof tag === 'string') {\n    var Ctor = void 0;\n    ns = context.$vnode && context.$vnode.ns || config.getTagNamespace(tag);\n    if (config.isReservedTag(tag)) {\n      // platform built-in elements\n      if ( true && isDef(data) && isDef(data.nativeOn) && data.tag !== 'component') {\n        warn(\"The .native modifier for v-on is only valid on components but it was used on <\".concat(tag, \">.\"), context);\n      }\n      vnode = new VNode(config.parsePlatformTagName(tag), data, children, undefined, undefined, context);\n    } else if ((!data || !data.pre) && isDef(Ctor = resolveAsset(context.$options, 'components', tag))) {\n      // component\n      vnode = createComponent(Ctor, data, context, children, tag);\n    } else {\n      // unknown or unlisted namespaced elements\n      // check at runtime because it may get assigned a namespace when its\n      // parent normalizes children\n      vnode = new VNode(tag, data, children, undefined, undefined, context);\n    }\n  } else {\n    // direct component options / constructor\n    vnode = createComponent(tag, data, context, children);\n  }\n  if (isArray(vnode)) {\n    return vnode;\n  } else if (isDef(vnode)) {\n    if (isDef(ns)) applyNS(vnode, ns);\n    if (isDef(data)) registerDeepBindings(data);\n    return vnode;\n  } else {\n    return createEmptyVNode();\n  }\n}\nfunction applyNS(vnode, ns, force) {\n  vnode.ns = ns;\n  if (vnode.tag === 'foreignObject') {\n    // use default namespace inside foreignObject\n    ns = undefined;\n    force = true;\n  }\n  if (isDef(vnode.children)) {\n    for (var i = 0, l = vnode.children.length; i < l; i++) {\n      var child = vnode.children[i];\n      if (isDef(child.tag) && (isUndef(child.ns) || isTrue(force) && child.tag !== 'svg')) {\n        applyNS(child, ns, force);\n      }\n    }\n  }\n}\n// ref #5318\n// necessary to ensure parent re-render when deep bindings like :style and\n// :class are used on slot nodes\nfunction registerDeepBindings(data) {\n  if (isObject(data.style)) {\n    traverse(data.style);\n  }\n  if (isObject(data.class)) {\n    traverse(data.class);\n  }\n}\n\n/**\n * @internal this function needs manual public type declaration because it relies\n * on previously manually authored types from Vue 2\n */\nfunction h(type, props, children) {\n  if (!currentInstance) {\n     true && warn(\"globally imported h() can only be invoked when there is an active \" + \"component instance, e.g. synchronously in a component's render or setup function.\");\n  }\n  return createElement$1(currentInstance, type, props, children, 2, true);\n}\nfunction handleError(err, vm, info) {\n  // Deactivate deps tracking while processing error handler to avoid possible infinite rendering.\n  // See: https://github.com/vuejs/vuex/issues/1505\n  pushTarget();\n  try {\n    if (vm) {\n      var cur = vm;\n      while (cur = cur.$parent) {\n        var hooks = cur.$options.errorCaptured;\n        if (hooks) {\n          for (var i = 0; i < hooks.length; i++) {\n            try {\n              var capture = hooks[i].call(cur, err, vm, info) === false;\n              if (capture) return;\n            } catch (e) {\n              globalHandleError(e, cur, 'errorCaptured hook');\n            }\n          }\n        }\n      }\n    }\n    globalHandleError(err, vm, info);\n  } finally {\n    popTarget();\n  }\n}\nfunction invokeWithErrorHandling(handler, context, args, vm, info) {\n  var res;\n  try {\n    res = args ? handler.apply(context, args) : handler.call(context);\n    if (res && !res._isVue && isPromise(res) && !res._handled) {\n      res.catch(function (e) {\n        return handleError(e, vm, info + \" (Promise/async)\");\n      });\n      res._handled = true;\n    }\n  } catch (e) {\n    handleError(e, vm, info);\n  }\n  return res;\n}\nfunction globalHandleError(err, vm, info) {\n  if (config.errorHandler) {\n    try {\n      return config.errorHandler.call(null, err, vm, info);\n    } catch (e) {\n      // if the user intentionally throws the original error in the handler,\n      // do not log it twice\n      if (e !== err) {\n        logError(e, null, 'config.errorHandler');\n      }\n    }\n  }\n  logError(err, vm, info);\n}\nfunction logError(err, vm, info) {\n  if (true) {\n    warn(\"Error in \".concat(info, \": \\\"\").concat(err.toString(), \"\\\"\"), vm);\n  }\n  /* istanbul ignore else */\n  if (inBrowser && typeof console !== 'undefined') {\n    console.error(err);\n  } else {\n    throw err;\n  }\n}\n\n/* globals MutationObserver */\nvar isUsingMicroTask = false;\nvar callbacks = [];\nvar pending = false;\nfunction flushCallbacks() {\n  pending = false;\n  var copies = callbacks.slice(0);\n  callbacks.length = 0;\n  for (var i = 0; i < copies.length; i++) {\n    copies[i]();\n  }\n}\n// Here we have async deferring wrappers using microtasks.\n// In 2.5 we used (macro) tasks (in combination with microtasks).\n// However, it has subtle problems when state is changed right before repaint\n// (e.g. #6813, out-in transitions).\n// Also, using (macro) tasks in event handler would cause some weird behaviors\n// that cannot be circumvented (e.g. #7109, #7153, #7546, #7834, #8109).\n// So we now use microtasks everywhere, again.\n// A major drawback of this tradeoff is that there are some scenarios\n// where microtasks have too high a priority and fire in between supposedly\n// sequential events (e.g. #4521, #6690, which have workarounds)\n// or even between bubbling of the same event (#6566).\nvar timerFunc;\n// The nextTick behavior leverages the microtask queue, which can be accessed\n// via either native Promise.then or MutationObserver.\n// MutationObserver has wider support, however it is seriously bugged in\n// UIWebView in iOS >= 9.3.3 when triggered in touch event handlers. It\n// completely stops working after triggering a few times... so, if native\n// Promise is available, we will use it:\n/* istanbul ignore next, $flow-disable-line */\nif (typeof Promise !== 'undefined' && isNative(Promise)) {\n  var p_1 = Promise.resolve();\n  timerFunc = function () {\n    p_1.then(flushCallbacks);\n    // In problematic UIWebViews, Promise.then doesn't completely break, but\n    // it can get stuck in a weird state where callbacks are pushed into the\n    // microtask queue but the queue isn't being flushed, until the browser\n    // needs to do some other work, e.g. handle a timer. Therefore we can\n    // \"force\" the microtask queue to be flushed by adding an empty timer.\n    if (isIOS) setTimeout(noop);\n  };\n  isUsingMicroTask = true;\n} else if (!isIE && typeof MutationObserver !== 'undefined' && (isNative(MutationObserver) ||\n// PhantomJS and iOS 7.x\nMutationObserver.toString() === '[object MutationObserverConstructor]')) {\n  // Use MutationObserver where native Promise is not available,\n  // e.g. PhantomJS, iOS7, Android 4.4\n  // (#6466 MutationObserver is unreliable in IE11)\n  var counter_1 = 1;\n  var observer = new MutationObserver(flushCallbacks);\n  var textNode_1 = document.createTextNode(String(counter_1));\n  observer.observe(textNode_1, {\n    characterData: true\n  });\n  timerFunc = function () {\n    counter_1 = (counter_1 + 1) % 2;\n    textNode_1.data = String(counter_1);\n  };\n  isUsingMicroTask = true;\n} else if (typeof setImmediate !== 'undefined' && isNative(setImmediate)) {\n  // Fallback to setImmediate.\n  // Technically it leverages the (macro) task queue,\n  // but it is still a better choice than setTimeout.\n  timerFunc = function () {\n    setImmediate(flushCallbacks);\n  };\n} else {\n  // Fallback to setTimeout.\n  timerFunc = function () {\n    setTimeout(flushCallbacks, 0);\n  };\n}\n/**\n * @internal\n */\nfunction nextTick(cb, ctx) {\n  var _resolve;\n  callbacks.push(function () {\n    if (cb) {\n      try {\n        cb.call(ctx);\n      } catch (e) {\n        handleError(e, ctx, 'nextTick');\n      }\n    } else if (_resolve) {\n      _resolve(ctx);\n    }\n  });\n  if (!pending) {\n    pending = true;\n    timerFunc();\n  }\n  // $flow-disable-line\n  if (!cb && typeof Promise !== 'undefined') {\n    return new Promise(function (resolve) {\n      _resolve = resolve;\n    });\n  }\n}\nfunction useCssModule(name) {\n  if (name === void 0) {\n    name = '$style';\n  }\n  /* istanbul ignore else */\n  {\n    if (!currentInstance) {\n       true && warn(\"useCssModule must be called inside setup()\");\n      return emptyObject;\n    }\n    var mod = currentInstance[name];\n    if (!mod) {\n       true && warn(\"Current instance does not have CSS module named \\\"\".concat(name, \"\\\".\"));\n      return emptyObject;\n    }\n    return mod;\n  }\n}\n\n/**\n * Runtime helper for SFC's CSS variable injection feature.\n * @private\n */\nfunction useCssVars(getter) {\n  if (!inBrowser && !false) return;\n  var instance = currentInstance;\n  if (!instance) {\n     true && warn(\"useCssVars is called without current active component instance.\");\n    return;\n  }\n  watchPostEffect(function () {\n    var el = instance.$el;\n    var vars = getter(instance, instance._setupProxy);\n    if (el && el.nodeType === 1) {\n      var style = el.style;\n      for (var key in vars) {\n        style.setProperty(\"--\".concat(key), vars[key]);\n      }\n    }\n  });\n}\n\n/**\n * v3-compatible async component API.\n * @internal the type is manually declared in <root>/types/v3-define-async-component.d.ts\n * because it relies on existing manual types\n */\nfunction defineAsyncComponent(source) {\n  if (isFunction(source)) {\n    source = {\n      loader: source\n    };\n  }\n  var loader = source.loader,\n    loadingComponent = source.loadingComponent,\n    errorComponent = source.errorComponent,\n    _a = source.delay,\n    delay = _a === void 0 ? 200 : _a,\n    timeout = source.timeout,\n    // undefined = never times out\n    _b = source.suspensible,\n    // undefined = never times out\n    suspensible = _b === void 0 ? false : _b,\n    // in Vue 3 default is true\n    userOnError = source.onError;\n  if ( true && suspensible) {\n    warn(\"The suspensiblbe option for async components is not supported in Vue2. It is ignored.\");\n  }\n  var pendingRequest = null;\n  var retries = 0;\n  var retry = function () {\n    retries++;\n    pendingRequest = null;\n    return load();\n  };\n  var load = function () {\n    var thisRequest;\n    return pendingRequest || (thisRequest = pendingRequest = loader().catch(function (err) {\n      err = err instanceof Error ? err : new Error(String(err));\n      if (userOnError) {\n        return new Promise(function (resolve, reject) {\n          var userRetry = function () {\n            return resolve(retry());\n          };\n          var userFail = function () {\n            return reject(err);\n          };\n          userOnError(err, userRetry, userFail, retries + 1);\n        });\n      } else {\n        throw err;\n      }\n    }).then(function (comp) {\n      if (thisRequest !== pendingRequest && pendingRequest) {\n        return pendingRequest;\n      }\n      if ( true && !comp) {\n        warn(\"Async component loader resolved to undefined. \" + \"If you are using retry(), make sure to return its return value.\");\n      }\n      // interop module default\n      if (comp && (comp.__esModule || comp[Symbol.toStringTag] === 'Module')) {\n        comp = comp.default;\n      }\n      if ( true && comp && !isObject(comp) && !isFunction(comp)) {\n        throw new Error(\"Invalid async component load result: \".concat(comp));\n      }\n      return comp;\n    }));\n  };\n  return function () {\n    var component = load();\n    return {\n      component: component,\n      delay: delay,\n      timeout: timeout,\n      error: errorComponent,\n      loading: loadingComponent\n    };\n  };\n}\nfunction createLifeCycle(hookName) {\n  return function (fn, target) {\n    if (target === void 0) {\n      target = currentInstance;\n    }\n    if (!target) {\n       true && warn(\"\".concat(formatName(hookName), \" is called when there is no active component instance to be \") + \"associated with. \" + \"Lifecycle injection APIs can only be used during execution of setup().\");\n      return;\n    }\n    return injectHook(target, hookName, fn);\n  };\n}\nfunction formatName(name) {\n  if (name === 'beforeDestroy') {\n    name = 'beforeUnmount';\n  } else if (name === 'destroyed') {\n    name = 'unmounted';\n  }\n  return \"on\".concat(name[0].toUpperCase() + name.slice(1));\n}\nfunction injectHook(instance, hookName, fn) {\n  var options = instance.$options;\n  options[hookName] = mergeLifecycleHook(options[hookName], fn);\n}\nvar onBeforeMount = createLifeCycle('beforeMount');\nvar onMounted = createLifeCycle('mounted');\nvar onBeforeUpdate = createLifeCycle('beforeUpdate');\nvar onUpdated = createLifeCycle('updated');\nvar onBeforeUnmount = createLifeCycle('beforeDestroy');\nvar onUnmounted = createLifeCycle('destroyed');\nvar onActivated = createLifeCycle('activated');\nvar onDeactivated = createLifeCycle('deactivated');\nvar onServerPrefetch = createLifeCycle('serverPrefetch');\nvar onRenderTracked = createLifeCycle('renderTracked');\nvar onRenderTriggered = createLifeCycle('renderTriggered');\nvar injectErrorCapturedHook = createLifeCycle('errorCaptured');\nfunction onErrorCaptured(hook, target) {\n  if (target === void 0) {\n    target = currentInstance;\n  }\n  injectErrorCapturedHook(hook, target);\n}\n\n/**\n * Note: also update dist/vue.runtime.mjs when adding new exports to this file.\n */\nvar version = '2.7.14';\n/**\n * @internal type is manually declared in <root>/types/v3-define-component.d.ts\n */\nfunction defineComponent(options) {\n  return options;\n}\nvar seenObjects = new _Set();\n/**\n * Recursively traverse an object to evoke all converted\n * getters, so that every nested property inside the object\n * is collected as a \"deep\" dependency.\n */\nfunction traverse(val) {\n  _traverse(val, seenObjects);\n  seenObjects.clear();\n  return val;\n}\nfunction _traverse(val, seen) {\n  var i, keys;\n  var isA = isArray(val);\n  if (!isA && !isObject(val) || val.__v_skip /* ReactiveFlags.SKIP */ || Object.isFrozen(val) || val instanceof VNode) {\n    return;\n  }\n  if (val.__ob__) {\n    var depId = val.__ob__.dep.id;\n    if (seen.has(depId)) {\n      return;\n    }\n    seen.add(depId);\n  }\n  if (isA) {\n    i = val.length;\n    while (i--) _traverse(val[i], seen);\n  } else if (isRef(val)) {\n    _traverse(val.value, seen);\n  } else {\n    keys = Object.keys(val);\n    i = keys.length;\n    while (i--) _traverse(val[keys[i]], seen);\n  }\n}\nvar uid$1 = 0;\n/**\n * A watcher parses an expression, collects dependencies,\n * and fires callback when the expression value changes.\n * This is used for both the $watch() api and directives.\n * @internal\n */\nvar Watcher = /** @class */function () {\n  function Watcher(vm, expOrFn, cb, options, isRenderWatcher) {\n    recordEffectScope(this,\n    // if the active effect scope is manually created (not a component scope),\n    // prioritize it\n    activeEffectScope && !activeEffectScope._vm ? activeEffectScope : vm ? vm._scope : undefined);\n    if ((this.vm = vm) && isRenderWatcher) {\n      vm._watcher = this;\n    }\n    // options\n    if (options) {\n      this.deep = !!options.deep;\n      this.user = !!options.user;\n      this.lazy = !!options.lazy;\n      this.sync = !!options.sync;\n      this.before = options.before;\n      if (true) {\n        this.onTrack = options.onTrack;\n        this.onTrigger = options.onTrigger;\n      }\n    } else {\n      this.deep = this.user = this.lazy = this.sync = false;\n    }\n    this.cb = cb;\n    this.id = ++uid$1; // uid for batching\n    this.active = true;\n    this.post = false;\n    this.dirty = this.lazy; // for lazy watchers\n    this.deps = [];\n    this.newDeps = [];\n    this.depIds = new _Set();\n    this.newDepIds = new _Set();\n    this.expression =  true ? expOrFn.toString() : 0;\n    // parse expression for getter\n    if (isFunction(expOrFn)) {\n      this.getter = expOrFn;\n    } else {\n      this.getter = parsePath(expOrFn);\n      if (!this.getter) {\n        this.getter = noop;\n         true && warn(\"Failed watching path: \\\"\".concat(expOrFn, \"\\\" \") + 'Watcher only accepts simple dot-delimited paths. ' + 'For full control, use a function instead.', vm);\n      }\n    }\n    this.value = this.lazy ? undefined : this.get();\n  }\n  /**\n   * Evaluate the getter, and re-collect dependencies.\n   */\n  Watcher.prototype.get = function () {\n    pushTarget(this);\n    var value;\n    var vm = this.vm;\n    try {\n      value = this.getter.call(vm, vm);\n    } catch (e) {\n      if (this.user) {\n        handleError(e, vm, \"getter for watcher \\\"\".concat(this.expression, \"\\\"\"));\n      } else {\n        throw e;\n      }\n    } finally {\n      // \"touch\" every property so they are all tracked as\n      // dependencies for deep watching\n      if (this.deep) {\n        traverse(value);\n      }\n      popTarget();\n      this.cleanupDeps();\n    }\n    return value;\n  };\n  /**\n   * Add a dependency to this directive.\n   */\n  Watcher.prototype.addDep = function (dep) {\n    var id = dep.id;\n    if (!this.newDepIds.has(id)) {\n      this.newDepIds.add(id);\n      this.newDeps.push(dep);\n      if (!this.depIds.has(id)) {\n        dep.addSub(this);\n      }\n    }\n  };\n  /**\n   * Clean up for dependency collection.\n   */\n  Watcher.prototype.cleanupDeps = function () {\n    var i = this.deps.length;\n    while (i--) {\n      var dep = this.deps[i];\n      if (!this.newDepIds.has(dep.id)) {\n        dep.removeSub(this);\n      }\n    }\n    var tmp = this.depIds;\n    this.depIds = this.newDepIds;\n    this.newDepIds = tmp;\n    this.newDepIds.clear();\n    tmp = this.deps;\n    this.deps = this.newDeps;\n    this.newDeps = tmp;\n    this.newDeps.length = 0;\n  };\n  /**\n   * Subscriber interface.\n   * Will be called when a dependency changes.\n   */\n  Watcher.prototype.update = function () {\n    /* istanbul ignore else */\n    if (this.lazy) {\n      this.dirty = true;\n    } else if (this.sync) {\n      this.run();\n    } else {\n      queueWatcher(this);\n    }\n  };\n  /**\n   * Scheduler job interface.\n   * Will be called by the scheduler.\n   */\n  Watcher.prototype.run = function () {\n    if (this.active) {\n      var value = this.get();\n      if (value !== this.value ||\n      // Deep watchers and watchers on Object/Arrays should fire even\n      // when the value is the same, because the value may\n      // have mutated.\n      isObject(value) || this.deep) {\n        // set new value\n        var oldValue = this.value;\n        this.value = value;\n        if (this.user) {\n          var info = \"callback for watcher \\\"\".concat(this.expression, \"\\\"\");\n          invokeWithErrorHandling(this.cb, this.vm, [value, oldValue], this.vm, info);\n        } else {\n          this.cb.call(this.vm, value, oldValue);\n        }\n      }\n    }\n  };\n  /**\n   * Evaluate the value of the watcher.\n   * This only gets called for lazy watchers.\n   */\n  Watcher.prototype.evaluate = function () {\n    this.value = this.get();\n    this.dirty = false;\n  };\n  /**\n   * Depend on all deps collected by this watcher.\n   */\n  Watcher.prototype.depend = function () {\n    var i = this.deps.length;\n    while (i--) {\n      this.deps[i].depend();\n    }\n  };\n  /**\n   * Remove self from all dependencies' subscriber list.\n   */\n  Watcher.prototype.teardown = function () {\n    if (this.vm && !this.vm._isBeingDestroyed) {\n      remove$2(this.vm._scope.effects, this);\n    }\n    if (this.active) {\n      var i = this.deps.length;\n      while (i--) {\n        this.deps[i].removeSub(this);\n      }\n      this.active = false;\n      if (this.onStop) {\n        this.onStop();\n      }\n    }\n  };\n  return Watcher;\n}();\nvar mark;\nvar measure;\nif (true) {\n  var perf_1 = inBrowser && window.performance;\n  /* istanbul ignore if */\n  if (perf_1 &&\n  // @ts-ignore\n  perf_1.mark &&\n  // @ts-ignore\n  perf_1.measure &&\n  // @ts-ignore\n  perf_1.clearMarks &&\n  // @ts-ignore\n  perf_1.clearMeasures) {\n    mark = function (tag) {\n      return perf_1.mark(tag);\n    };\n    measure = function (name, startTag, endTag) {\n      perf_1.measure(name, startTag, endTag);\n      perf_1.clearMarks(startTag);\n      perf_1.clearMarks(endTag);\n      // perf.clearMeasures(name)\n    };\n  }\n}\n\nfunction initEvents(vm) {\n  vm._events = Object.create(null);\n  vm._hasHookEvent = false;\n  // init parent attached events\n  var listeners = vm.$options._parentListeners;\n  if (listeners) {\n    updateComponentListeners(vm, listeners);\n  }\n}\nvar target$1;\nfunction add$1(event, fn) {\n  target$1.$on(event, fn);\n}\nfunction remove$1(event, fn) {\n  target$1.$off(event, fn);\n}\nfunction createOnceHandler$1(event, fn) {\n  var _target = target$1;\n  return function onceHandler() {\n    var res = fn.apply(null, arguments);\n    if (res !== null) {\n      _target.$off(event, onceHandler);\n    }\n  };\n}\nfunction updateComponentListeners(vm, listeners, oldListeners) {\n  target$1 = vm;\n  updateListeners(listeners, oldListeners || {}, add$1, remove$1, createOnceHandler$1, vm);\n  target$1 = undefined;\n}\nfunction eventsMixin(Vue) {\n  var hookRE = /^hook:/;\n  Vue.prototype.$on = function (event, fn) {\n    var vm = this;\n    if (isArray(event)) {\n      for (var i = 0, l = event.length; i < l; i++) {\n        vm.$on(event[i], fn);\n      }\n    } else {\n      (vm._events[event] || (vm._events[event] = [])).push(fn);\n      // optimize hook:event cost by using a boolean flag marked at registration\n      // instead of a hash lookup\n      if (hookRE.test(event)) {\n        vm._hasHookEvent = true;\n      }\n    }\n    return vm;\n  };\n  Vue.prototype.$once = function (event, fn) {\n    var vm = this;\n    function on() {\n      vm.$off(event, on);\n      fn.apply(vm, arguments);\n    }\n    on.fn = fn;\n    vm.$on(event, on);\n    return vm;\n  };\n  Vue.prototype.$off = function (event, fn) {\n    var vm = this;\n    // all\n    if (!arguments.length) {\n      vm._events = Object.create(null);\n      return vm;\n    }\n    // array of events\n    if (isArray(event)) {\n      for (var i_1 = 0, l = event.length; i_1 < l; i_1++) {\n        vm.$off(event[i_1], fn);\n      }\n      return vm;\n    }\n    // specific event\n    var cbs = vm._events[event];\n    if (!cbs) {\n      return vm;\n    }\n    if (!fn) {\n      vm._events[event] = null;\n      return vm;\n    }\n    // specific handler\n    var cb;\n    var i = cbs.length;\n    while (i--) {\n      cb = cbs[i];\n      if (cb === fn || cb.fn === fn) {\n        cbs.splice(i, 1);\n        break;\n      }\n    }\n    return vm;\n  };\n  Vue.prototype.$emit = function (event) {\n    var vm = this;\n    if (true) {\n      var lowerCaseEvent = event.toLowerCase();\n      if (lowerCaseEvent !== event && vm._events[lowerCaseEvent]) {\n        tip(\"Event \\\"\".concat(lowerCaseEvent, \"\\\" is emitted in component \") + \"\".concat(formatComponentName(vm), \" but the handler is registered for \\\"\").concat(event, \"\\\". \") + \"Note that HTML attributes are case-insensitive and you cannot use \" + \"v-on to listen to camelCase events when using in-DOM templates. \" + \"You should probably use \\\"\".concat(hyphenate(event), \"\\\" instead of \\\"\").concat(event, \"\\\".\"));\n      }\n    }\n    var cbs = vm._events[event];\n    if (cbs) {\n      cbs = cbs.length > 1 ? toArray(cbs) : cbs;\n      var args = toArray(arguments, 1);\n      var info = \"event handler for \\\"\".concat(event, \"\\\"\");\n      for (var i = 0, l = cbs.length; i < l; i++) {\n        invokeWithErrorHandling(cbs[i], vm, args, vm, info);\n      }\n    }\n    return vm;\n  };\n}\nvar activeInstance = null;\nvar isUpdatingChildComponent = false;\nfunction setActiveInstance(vm) {\n  var prevActiveInstance = activeInstance;\n  activeInstance = vm;\n  return function () {\n    activeInstance = prevActiveInstance;\n  };\n}\nfunction initLifecycle(vm) {\n  var options = vm.$options;\n  // locate first non-abstract parent\n  var parent = options.parent;\n  if (parent && !options.abstract) {\n    while (parent.$options.abstract && parent.$parent) {\n      parent = parent.$parent;\n    }\n    parent.$children.push(vm);\n  }\n  vm.$parent = parent;\n  vm.$root = parent ? parent.$root : vm;\n  vm.$children = [];\n  vm.$refs = {};\n  vm._provided = parent ? parent._provided : Object.create(null);\n  vm._watcher = null;\n  vm._inactive = null;\n  vm._directInactive = false;\n  vm._isMounted = false;\n  vm._isDestroyed = false;\n  vm._isBeingDestroyed = false;\n}\nfunction lifecycleMixin(Vue) {\n  Vue.prototype._update = function (vnode, hydrating) {\n    var vm = this;\n    var prevEl = vm.$el;\n    var prevVnode = vm._vnode;\n    var restoreActiveInstance = setActiveInstance(vm);\n    vm._vnode = vnode;\n    // Vue.prototype.__patch__ is injected in entry points\n    // based on the rendering backend used.\n    if (!prevVnode) {\n      // initial render\n      vm.$el = vm.__patch__(vm.$el, vnode, hydrating, false /* removeOnly */);\n    } else {\n      // updates\n      vm.$el = vm.__patch__(prevVnode, vnode);\n    }\n    restoreActiveInstance();\n    // update __vue__ reference\n    if (prevEl) {\n      prevEl.__vue__ = null;\n    }\n    if (vm.$el) {\n      vm.$el.__vue__ = vm;\n    }\n    // if parent is an HOC, update its $el as well\n    var wrapper = vm;\n    while (wrapper && wrapper.$vnode && wrapper.$parent && wrapper.$vnode === wrapper.$parent._vnode) {\n      wrapper.$parent.$el = wrapper.$el;\n      wrapper = wrapper.$parent;\n    }\n    // updated hook is called by the scheduler to ensure that children are\n    // updated in a parent's updated hook.\n  };\n\n  Vue.prototype.$forceUpdate = function () {\n    var vm = this;\n    if (vm._watcher) {\n      vm._watcher.update();\n    }\n  };\n  Vue.prototype.$destroy = function () {\n    var vm = this;\n    if (vm._isBeingDestroyed) {\n      return;\n    }\n    callHook$1(vm, 'beforeDestroy');\n    vm._isBeingDestroyed = true;\n    // remove self from parent\n    var parent = vm.$parent;\n    if (parent && !parent._isBeingDestroyed && !vm.$options.abstract) {\n      remove$2(parent.$children, vm);\n    }\n    // teardown scope. this includes both the render watcher and other\n    // watchers created\n    vm._scope.stop();\n    // remove reference from data ob\n    // frozen object may not have observer.\n    if (vm._data.__ob__) {\n      vm._data.__ob__.vmCount--;\n    }\n    // call the last hook...\n    vm._isDestroyed = true;\n    // invoke destroy hooks on current rendered tree\n    vm.__patch__(vm._vnode, null);\n    // fire destroyed hook\n    callHook$1(vm, 'destroyed');\n    // turn off all instance listeners.\n    vm.$off();\n    // remove __vue__ reference\n    if (vm.$el) {\n      vm.$el.__vue__ = null;\n    }\n    // release circular reference (#6759)\n    if (vm.$vnode) {\n      vm.$vnode.parent = null;\n    }\n  };\n}\nfunction mountComponent(vm, el, hydrating) {\n  vm.$el = el;\n  if (!vm.$options.render) {\n    // @ts-expect-error invalid type\n    vm.$options.render = createEmptyVNode;\n    if (true) {\n      /* istanbul ignore if */\n      if (vm.$options.template && vm.$options.template.charAt(0) !== '#' || vm.$options.el || el) {\n        warn('You are using the runtime-only build of Vue where the template ' + 'compiler is not available. Either pre-compile the templates into ' + 'render functions, or use the compiler-included build.', vm);\n      } else {\n        warn('Failed to mount component: template or render function not defined.', vm);\n      }\n    }\n  }\n  callHook$1(vm, 'beforeMount');\n  var updateComponent;\n  /* istanbul ignore if */\n  if ( true && config.performance && mark) {\n    updateComponent = function () {\n      var name = vm._name;\n      var id = vm._uid;\n      var startTag = \"vue-perf-start:\".concat(id);\n      var endTag = \"vue-perf-end:\".concat(id);\n      mark(startTag);\n      var vnode = vm._render();\n      mark(endTag);\n      measure(\"vue \".concat(name, \" render\"), startTag, endTag);\n      mark(startTag);\n      vm._update(vnode, hydrating);\n      mark(endTag);\n      measure(\"vue \".concat(name, \" patch\"), startTag, endTag);\n    };\n  } else {\n    updateComponent = function () {\n      vm._update(vm._render(), hydrating);\n    };\n  }\n  var watcherOptions = {\n    before: function () {\n      if (vm._isMounted && !vm._isDestroyed) {\n        callHook$1(vm, 'beforeUpdate');\n      }\n    }\n  };\n  if (true) {\n    watcherOptions.onTrack = function (e) {\n      return callHook$1(vm, 'renderTracked', [e]);\n    };\n    watcherOptions.onTrigger = function (e) {\n      return callHook$1(vm, 'renderTriggered', [e]);\n    };\n  }\n  // we set this to vm._watcher inside the watcher's constructor\n  // since the watcher's initial patch may call $forceUpdate (e.g. inside child\n  // component's mounted hook), which relies on vm._watcher being already defined\n  new Watcher(vm, updateComponent, noop, watcherOptions, true /* isRenderWatcher */);\n  hydrating = false;\n  // flush buffer for flush: \"pre\" watchers queued in setup()\n  var preWatchers = vm._preWatchers;\n  if (preWatchers) {\n    for (var i = 0; i < preWatchers.length; i++) {\n      preWatchers[i].run();\n    }\n  }\n  // manually mounted instance, call mounted on self\n  // mounted is called for render-created child components in its inserted hook\n  if (vm.$vnode == null) {\n    vm._isMounted = true;\n    callHook$1(vm, 'mounted');\n  }\n  return vm;\n}\nfunction updateChildComponent(vm, propsData, listeners, parentVnode, renderChildren) {\n  if (true) {\n    isUpdatingChildComponent = true;\n  }\n  // determine whether component has slot children\n  // we need to do this before overwriting $options._renderChildren.\n  // check if there are dynamic scopedSlots (hand-written or compiled but with\n  // dynamic slot names). Static scoped slots compiled from template has the\n  // \"$stable\" marker.\n  var newScopedSlots = parentVnode.data.scopedSlots;\n  var oldScopedSlots = vm.$scopedSlots;\n  var hasDynamicScopedSlot = !!(newScopedSlots && !newScopedSlots.$stable || oldScopedSlots !== emptyObject && !oldScopedSlots.$stable || newScopedSlots && vm.$scopedSlots.$key !== newScopedSlots.$key || !newScopedSlots && vm.$scopedSlots.$key);\n  // Any static slot children from the parent may have changed during parent's\n  // update. Dynamic scoped slots may also have changed. In such cases, a forced\n  // update is necessary to ensure correctness.\n  var needsForceUpdate = !!(renderChildren ||\n  // has new static slots\n  vm.$options._renderChildren ||\n  // has old static slots\n  hasDynamicScopedSlot);\n  var prevVNode = vm.$vnode;\n  vm.$options._parentVnode = parentVnode;\n  vm.$vnode = parentVnode; // update vm's placeholder node without re-render\n  if (vm._vnode) {\n    // update child tree's parent\n    vm._vnode.parent = parentVnode;\n  }\n  vm.$options._renderChildren = renderChildren;\n  // update $attrs and $listeners hash\n  // these are also reactive so they may trigger child update if the child\n  // used them during render\n  var attrs = parentVnode.data.attrs || emptyObject;\n  if (vm._attrsProxy) {\n    // force update if attrs are accessed and has changed since it may be\n    // passed to a child component.\n    if (syncSetupProxy(vm._attrsProxy, attrs, prevVNode.data && prevVNode.data.attrs || emptyObject, vm, '$attrs')) {\n      needsForceUpdate = true;\n    }\n  }\n  vm.$attrs = attrs;\n  // update listeners\n  listeners = listeners || emptyObject;\n  var prevListeners = vm.$options._parentListeners;\n  if (vm._listenersProxy) {\n    syncSetupProxy(vm._listenersProxy, listeners, prevListeners || emptyObject, vm, '$listeners');\n  }\n  vm.$listeners = vm.$options._parentListeners = listeners;\n  updateComponentListeners(vm, listeners, prevListeners);\n  // update props\n  if (propsData && vm.$options.props) {\n    toggleObserving(false);\n    var props = vm._props;\n    var propKeys = vm.$options._propKeys || [];\n    for (var i = 0; i < propKeys.length; i++) {\n      var key = propKeys[i];\n      var propOptions = vm.$options.props; // wtf flow?\n      props[key] = validateProp(key, propOptions, propsData, vm);\n    }\n    toggleObserving(true);\n    // keep a copy of raw propsData\n    vm.$options.propsData = propsData;\n  }\n  // resolve slots + force update if has children\n  if (needsForceUpdate) {\n    vm.$slots = resolveSlots(renderChildren, parentVnode.context);\n    vm.$forceUpdate();\n  }\n  if (true) {\n    isUpdatingChildComponent = false;\n  }\n}\nfunction isInInactiveTree(vm) {\n  while (vm && (vm = vm.$parent)) {\n    if (vm._inactive) return true;\n  }\n  return false;\n}\nfunction activateChildComponent(vm, direct) {\n  if (direct) {\n    vm._directInactive = false;\n    if (isInInactiveTree(vm)) {\n      return;\n    }\n  } else if (vm._directInactive) {\n    return;\n  }\n  if (vm._inactive || vm._inactive === null) {\n    vm._inactive = false;\n    for (var i = 0; i < vm.$children.length; i++) {\n      activateChildComponent(vm.$children[i]);\n    }\n    callHook$1(vm, 'activated');\n  }\n}\nfunction deactivateChildComponent(vm, direct) {\n  if (direct) {\n    vm._directInactive = true;\n    if (isInInactiveTree(vm)) {\n      return;\n    }\n  }\n  if (!vm._inactive) {\n    vm._inactive = true;\n    for (var i = 0; i < vm.$children.length; i++) {\n      deactivateChildComponent(vm.$children[i]);\n    }\n    callHook$1(vm, 'deactivated');\n  }\n}\nfunction callHook$1(vm, hook, args, setContext) {\n  if (setContext === void 0) {\n    setContext = true;\n  }\n  // #7573 disable dep collection when invoking lifecycle hooks\n  pushTarget();\n  var prev = currentInstance;\n  setContext && setCurrentInstance(vm);\n  var handlers = vm.$options[hook];\n  var info = \"\".concat(hook, \" hook\");\n  if (handlers) {\n    for (var i = 0, j = handlers.length; i < j; i++) {\n      invokeWithErrorHandling(handlers[i], vm, args || null, vm, info);\n    }\n  }\n  if (vm._hasHookEvent) {\n    vm.$emit('hook:' + hook);\n  }\n  setContext && setCurrentInstance(prev);\n  popTarget();\n}\nvar MAX_UPDATE_COUNT = 100;\nvar queue = [];\nvar activatedChildren = [];\nvar has = {};\nvar circular = {};\nvar waiting = false;\nvar flushing = false;\nvar index = 0;\n/**\n * Reset the scheduler's state.\n */\nfunction resetSchedulerState() {\n  index = queue.length = activatedChildren.length = 0;\n  has = {};\n  if (true) {\n    circular = {};\n  }\n  waiting = flushing = false;\n}\n// Async edge case #6566 requires saving the timestamp when event listeners are\n// attached. However, calling performance.now() has a perf overhead especially\n// if the page has thousands of event listeners. Instead, we take a timestamp\n// every time the scheduler flushes and use that for all event listeners\n// attached during that flush.\nvar currentFlushTimestamp = 0;\n// Async edge case fix requires storing an event listener's attach timestamp.\nvar getNow = Date.now;\n// Determine what event timestamp the browser is using. Annoyingly, the\n// timestamp can either be hi-res (relative to page load) or low-res\n// (relative to UNIX epoch), so in order to compare time we have to use the\n// same timestamp type when saving the flush timestamp.\n// All IE versions use low-res event timestamps, and have problematic clock\n// implementations (#9632)\nif (inBrowser && !isIE) {\n  var performance_1 = window.performance;\n  if (performance_1 && typeof performance_1.now === 'function' && getNow() > document.createEvent('Event').timeStamp) {\n    // if the event timestamp, although evaluated AFTER the Date.now(), is\n    // smaller than it, it means the event is using a hi-res timestamp,\n    // and we need to use the hi-res version for event listener timestamps as\n    // well.\n    getNow = function () {\n      return performance_1.now();\n    };\n  }\n}\nvar sortCompareFn = function (a, b) {\n  if (a.post) {\n    if (!b.post) return 1;\n  } else if (b.post) {\n    return -1;\n  }\n  return a.id - b.id;\n};\n/**\n * Flush both queues and run the watchers.\n */\nfunction flushSchedulerQueue() {\n  currentFlushTimestamp = getNow();\n  flushing = true;\n  var watcher, id;\n  // Sort queue before flush.\n  // This ensures that:\n  // 1. Components are updated from parent to child. (because parent is always\n  //    created before the child)\n  // 2. A component's user watchers are run before its render watcher (because\n  //    user watchers are created before the render watcher)\n  // 3. If a component is destroyed during a parent component's watcher run,\n  //    its watchers can be skipped.\n  queue.sort(sortCompareFn);\n  // do not cache length because more watchers might be pushed\n  // as we run existing watchers\n  for (index = 0; index < queue.length; index++) {\n    watcher = queue[index];\n    if (watcher.before) {\n      watcher.before();\n    }\n    id = watcher.id;\n    has[id] = null;\n    watcher.run();\n    // in dev build, check and stop circular updates.\n    if ( true && has[id] != null) {\n      circular[id] = (circular[id] || 0) + 1;\n      if (circular[id] > MAX_UPDATE_COUNT) {\n        warn('You may have an infinite update loop ' + (watcher.user ? \"in watcher with expression \\\"\".concat(watcher.expression, \"\\\"\") : \"in a component render function.\"), watcher.vm);\n        break;\n      }\n    }\n  }\n  // keep copies of post queues before resetting state\n  var activatedQueue = activatedChildren.slice();\n  var updatedQueue = queue.slice();\n  resetSchedulerState();\n  // call component updated and activated hooks\n  callActivatedHooks(activatedQueue);\n  callUpdatedHooks(updatedQueue);\n  cleanupDeps();\n  // devtool hook\n  /* istanbul ignore if */\n  if (devtools && config.devtools) {\n    devtools.emit('flush');\n  }\n}\nfunction callUpdatedHooks(queue) {\n  var i = queue.length;\n  while (i--) {\n    var watcher = queue[i];\n    var vm = watcher.vm;\n    if (vm && vm._watcher === watcher && vm._isMounted && !vm._isDestroyed) {\n      callHook$1(vm, 'updated');\n    }\n  }\n}\n/**\n * Queue a kept-alive component that was activated during patch.\n * The queue will be processed after the entire tree has been patched.\n */\nfunction queueActivatedComponent(vm) {\n  // setting _inactive to false here so that a render function can\n  // rely on checking whether it's in an inactive tree (e.g. router-view)\n  vm._inactive = false;\n  activatedChildren.push(vm);\n}\nfunction callActivatedHooks(queue) {\n  for (var i = 0; i < queue.length; i++) {\n    queue[i]._inactive = true;\n    activateChildComponent(queue[i], true /* true */);\n  }\n}\n/**\n * Push a watcher into the watcher queue.\n * Jobs with duplicate IDs will be skipped unless it's\n * pushed when the queue is being flushed.\n */\nfunction queueWatcher(watcher) {\n  var id = watcher.id;\n  if (has[id] != null) {\n    return;\n  }\n  if (watcher === Dep.target && watcher.noRecurse) {\n    return;\n  }\n  has[id] = true;\n  if (!flushing) {\n    queue.push(watcher);\n  } else {\n    // if already flushing, splice the watcher based on its id\n    // if already past its id, it will be run next immediately.\n    var i = queue.length - 1;\n    while (i > index && queue[i].id > watcher.id) {\n      i--;\n    }\n    queue.splice(i + 1, 0, watcher);\n  }\n  // queue the flush\n  if (!waiting) {\n    waiting = true;\n    if ( true && !config.async) {\n      flushSchedulerQueue();\n      return;\n    }\n    nextTick(flushSchedulerQueue);\n  }\n}\nfunction initProvide(vm) {\n  var provideOption = vm.$options.provide;\n  if (provideOption) {\n    var provided = isFunction(provideOption) ? provideOption.call(vm) : provideOption;\n    if (!isObject(provided)) {\n      return;\n    }\n    var source = resolveProvided(vm);\n    // IE9 doesn't support Object.getOwnPropertyDescriptors so we have to\n    // iterate the keys ourselves.\n    var keys = hasSymbol ? Reflect.ownKeys(provided) : Object.keys(provided);\n    for (var i = 0; i < keys.length; i++) {\n      var key = keys[i];\n      Object.defineProperty(source, key, Object.getOwnPropertyDescriptor(provided, key));\n    }\n  }\n}\nfunction initInjections(vm) {\n  var result = resolveInject(vm.$options.inject, vm);\n  if (result) {\n    toggleObserving(false);\n    Object.keys(result).forEach(function (key) {\n      /* istanbul ignore else */\n      if (true) {\n        defineReactive(vm, key, result[key], function () {\n          warn(\"Avoid mutating an injected value directly since the changes will be \" + \"overwritten whenever the provided component re-renders. \" + \"injection being mutated: \\\"\".concat(key, \"\\\"\"), vm);\n        });\n      } else {}\n    });\n    toggleObserving(true);\n  }\n}\nfunction resolveInject(inject, vm) {\n  if (inject) {\n    // inject is :any because flow is not smart enough to figure out cached\n    var result = Object.create(null);\n    var keys = hasSymbol ? Reflect.ownKeys(inject) : Object.keys(inject);\n    for (var i = 0; i < keys.length; i++) {\n      var key = keys[i];\n      // #6574 in case the inject object is observed...\n      if (key === '__ob__') continue;\n      var provideKey = inject[key].from;\n      if (provideKey in vm._provided) {\n        result[key] = vm._provided[provideKey];\n      } else if ('default' in inject[key]) {\n        var provideDefault = inject[key].default;\n        result[key] = isFunction(provideDefault) ? provideDefault.call(vm) : provideDefault;\n      } else if (true) {\n        warn(\"Injection \\\"\".concat(key, \"\\\" not found\"), vm);\n      }\n    }\n    return result;\n  }\n}\nfunction FunctionalRenderContext(data, props, children, parent, Ctor) {\n  var _this = this;\n  var options = Ctor.options;\n  // ensure the createElement function in functional components\n  // gets a unique context - this is necessary for correct named slot check\n  var contextVm;\n  if (hasOwn(parent, '_uid')) {\n    contextVm = Object.create(parent);\n    contextVm._original = parent;\n  } else {\n    // the context vm passed in is a functional context as well.\n    // in this case we want to make sure we are able to get a hold to the\n    // real context instance.\n    contextVm = parent;\n    // @ts-ignore\n    parent = parent._original;\n  }\n  var isCompiled = isTrue(options._compiled);\n  var needNormalization = !isCompiled;\n  this.data = data;\n  this.props = props;\n  this.children = children;\n  this.parent = parent;\n  this.listeners = data.on || emptyObject;\n  this.injections = resolveInject(options.inject, parent);\n  this.slots = function () {\n    if (!_this.$slots) {\n      normalizeScopedSlots(parent, data.scopedSlots, _this.$slots = resolveSlots(children, parent));\n    }\n    return _this.$slots;\n  };\n  Object.defineProperty(this, 'scopedSlots', {\n    enumerable: true,\n    get: function () {\n      return normalizeScopedSlots(parent, data.scopedSlots, this.slots());\n    }\n  });\n  // support for compiled functional template\n  if (isCompiled) {\n    // exposing $options for renderStatic()\n    this.$options = options;\n    // pre-resolve slots for renderSlot()\n    this.$slots = this.slots();\n    this.$scopedSlots = normalizeScopedSlots(parent, data.scopedSlots, this.$slots);\n  }\n  if (options._scopeId) {\n    this._c = function (a, b, c, d) {\n      var vnode = createElement$1(contextVm, a, b, c, d, needNormalization);\n      if (vnode && !isArray(vnode)) {\n        vnode.fnScopeId = options._scopeId;\n        vnode.fnContext = parent;\n      }\n      return vnode;\n    };\n  } else {\n    this._c = function (a, b, c, d) {\n      return createElement$1(contextVm, a, b, c, d, needNormalization);\n    };\n  }\n}\ninstallRenderHelpers(FunctionalRenderContext.prototype);\nfunction createFunctionalComponent(Ctor, propsData, data, contextVm, children) {\n  var options = Ctor.options;\n  var props = {};\n  var propOptions = options.props;\n  if (isDef(propOptions)) {\n    for (var key in propOptions) {\n      props[key] = validateProp(key, propOptions, propsData || emptyObject);\n    }\n  } else {\n    if (isDef(data.attrs)) mergeProps(props, data.attrs);\n    if (isDef(data.props)) mergeProps(props, data.props);\n  }\n  var renderContext = new FunctionalRenderContext(data, props, children, contextVm, Ctor);\n  var vnode = options.render.call(null, renderContext._c, renderContext);\n  if (vnode instanceof VNode) {\n    return cloneAndMarkFunctionalResult(vnode, data, renderContext.parent, options, renderContext);\n  } else if (isArray(vnode)) {\n    var vnodes = normalizeChildren(vnode) || [];\n    var res = new Array(vnodes.length);\n    for (var i = 0; i < vnodes.length; i++) {\n      res[i] = cloneAndMarkFunctionalResult(vnodes[i], data, renderContext.parent, options, renderContext);\n    }\n    return res;\n  }\n}\nfunction cloneAndMarkFunctionalResult(vnode, data, contextVm, options, renderContext) {\n  // #7817 clone node before setting fnContext, otherwise if the node is reused\n  // (e.g. it was from a cached normal slot) the fnContext causes named slots\n  // that should not be matched to match.\n  var clone = cloneVNode(vnode);\n  clone.fnContext = contextVm;\n  clone.fnOptions = options;\n  if (true) {\n    (clone.devtoolsMeta = clone.devtoolsMeta || {}).renderContext = renderContext;\n  }\n  if (data.slot) {\n    (clone.data || (clone.data = {})).slot = data.slot;\n  }\n  return clone;\n}\nfunction mergeProps(to, from) {\n  for (var key in from) {\n    to[camelize(key)] = from[key];\n  }\n}\nfunction getComponentName(options) {\n  return options.name || options.__name || options._componentTag;\n}\n// inline hooks to be invoked on component VNodes during patch\nvar componentVNodeHooks = {\n  init: function (vnode, hydrating) {\n    if (vnode.componentInstance && !vnode.componentInstance._isDestroyed && vnode.data.keepAlive) {\n      // kept-alive components, treat as a patch\n      var mountedNode = vnode; // work around flow\n      componentVNodeHooks.prepatch(mountedNode, mountedNode);\n    } else {\n      var child = vnode.componentInstance = createComponentInstanceForVnode(vnode, activeInstance);\n      child.$mount(hydrating ? vnode.elm : undefined, hydrating);\n    }\n  },\n  prepatch: function (oldVnode, vnode) {\n    var options = vnode.componentOptions;\n    var child = vnode.componentInstance = oldVnode.componentInstance;\n    updateChildComponent(child, options.propsData,\n    // updated props\n    options.listeners,\n    // updated listeners\n    vnode,\n    // new parent vnode\n    options.children // new children\n    );\n  },\n\n  insert: function (vnode) {\n    var context = vnode.context,\n      componentInstance = vnode.componentInstance;\n    if (!componentInstance._isMounted) {\n      componentInstance._isMounted = true;\n      callHook$1(componentInstance, 'mounted');\n    }\n    if (vnode.data.keepAlive) {\n      if (context._isMounted) {\n        // vue-router#1212\n        // During updates, a kept-alive component's child components may\n        // change, so directly walking the tree here may call activated hooks\n        // on incorrect children. Instead we push them into a queue which will\n        // be processed after the whole patch process ended.\n        queueActivatedComponent(componentInstance);\n      } else {\n        activateChildComponent(componentInstance, true /* direct */);\n      }\n    }\n  },\n\n  destroy: function (vnode) {\n    var componentInstance = vnode.componentInstance;\n    if (!componentInstance._isDestroyed) {\n      if (!vnode.data.keepAlive) {\n        componentInstance.$destroy();\n      } else {\n        deactivateChildComponent(componentInstance, true /* direct */);\n      }\n    }\n  }\n};\n\nvar hooksToMerge = Object.keys(componentVNodeHooks);\nfunction createComponent(Ctor, data, context, children, tag) {\n  if (isUndef(Ctor)) {\n    return;\n  }\n  var baseCtor = context.$options._base;\n  // plain options object: turn it into a constructor\n  if (isObject(Ctor)) {\n    Ctor = baseCtor.extend(Ctor);\n  }\n  // if at this stage it's not a constructor or an async component factory,\n  // reject.\n  if (typeof Ctor !== 'function') {\n    if (true) {\n      warn(\"Invalid Component definition: \".concat(String(Ctor)), context);\n    }\n    return;\n  }\n  // async component\n  var asyncFactory;\n  // @ts-expect-error\n  if (isUndef(Ctor.cid)) {\n    asyncFactory = Ctor;\n    Ctor = resolveAsyncComponent(asyncFactory, baseCtor);\n    if (Ctor === undefined) {\n      // return a placeholder node for async component, which is rendered\n      // as a comment node but preserves all the raw information for the node.\n      // the information will be used for async server-rendering and hydration.\n      return createAsyncPlaceholder(asyncFactory, data, context, children, tag);\n    }\n  }\n  data = data || {};\n  // resolve constructor options in case global mixins are applied after\n  // component constructor creation\n  resolveConstructorOptions(Ctor);\n  // transform component v-model data into props & events\n  if (isDef(data.model)) {\n    // @ts-expect-error\n    transformModel(Ctor.options, data);\n  }\n  // extract props\n  // @ts-expect-error\n  var propsData = extractPropsFromVNodeData(data, Ctor, tag);\n  // functional component\n  // @ts-expect-error\n  if (isTrue(Ctor.options.functional)) {\n    return createFunctionalComponent(Ctor, propsData, data, context, children);\n  }\n  // extract listeners, since these needs to be treated as\n  // child component listeners instead of DOM listeners\n  var listeners = data.on;\n  // replace with listeners with .native modifier\n  // so it gets processed during parent component patch.\n  data.on = data.nativeOn;\n  // @ts-expect-error\n  if (isTrue(Ctor.options.abstract)) {\n    // abstract components do not keep anything\n    // other than props & listeners & slot\n    // work around flow\n    var slot = data.slot;\n    data = {};\n    if (slot) {\n      data.slot = slot;\n    }\n  }\n  // install component management hooks onto the placeholder node\n  installComponentHooks(data);\n  // return a placeholder vnode\n  // @ts-expect-error\n  var name = getComponentName(Ctor.options) || tag;\n  var vnode = new VNode(\n  // @ts-expect-error\n  \"vue-component-\".concat(Ctor.cid).concat(name ? \"-\".concat(name) : ''), data, undefined, undefined, undefined, context,\n  // @ts-expect-error\n  {\n    Ctor: Ctor,\n    propsData: propsData,\n    listeners: listeners,\n    tag: tag,\n    children: children\n  }, asyncFactory);\n  return vnode;\n}\nfunction createComponentInstanceForVnode(\n// we know it's MountedComponentVNode but flow doesn't\nvnode,\n// activeInstance in lifecycle state\nparent) {\n  var options = {\n    _isComponent: true,\n    _parentVnode: vnode,\n    parent: parent\n  };\n  // check inline-template render functions\n  var inlineTemplate = vnode.data.inlineTemplate;\n  if (isDef(inlineTemplate)) {\n    options.render = inlineTemplate.render;\n    options.staticRenderFns = inlineTemplate.staticRenderFns;\n  }\n  return new vnode.componentOptions.Ctor(options);\n}\nfunction installComponentHooks(data) {\n  var hooks = data.hook || (data.hook = {});\n  for (var i = 0; i < hooksToMerge.length; i++) {\n    var key = hooksToMerge[i];\n    var existing = hooks[key];\n    var toMerge = componentVNodeHooks[key];\n    // @ts-expect-error\n    if (existing !== toMerge && !(existing && existing._merged)) {\n      hooks[key] = existing ? mergeHook(toMerge, existing) : toMerge;\n    }\n  }\n}\nfunction mergeHook(f1, f2) {\n  var merged = function (a, b) {\n    // flow complains about extra args which is why we use any\n    f1(a, b);\n    f2(a, b);\n  };\n  merged._merged = true;\n  return merged;\n}\n// transform component v-model info (value and callback) into\n// prop and event handler respectively.\nfunction transformModel(options, data) {\n  var prop = options.model && options.model.prop || 'value';\n  var event = options.model && options.model.event || 'input';\n  (data.attrs || (data.attrs = {}))[prop] = data.model.value;\n  var on = data.on || (data.on = {});\n  var existing = on[event];\n  var callback = data.model.callback;\n  if (isDef(existing)) {\n    if (isArray(existing) ? existing.indexOf(callback) === -1 : existing !== callback) {\n      on[event] = [callback].concat(existing);\n    }\n  } else {\n    on[event] = callback;\n  }\n}\nvar warn = noop;\nvar tip = noop;\nvar generateComponentTrace; // work around flow check\nvar formatComponentName;\nif (true) {\n  var hasConsole_1 = typeof console !== 'undefined';\n  var classifyRE_1 = /(?:^|[-_])(\\w)/g;\n  var classify_1 = function (str) {\n    return str.replace(classifyRE_1, function (c) {\n      return c.toUpperCase();\n    }).replace(/[-_]/g, '');\n  };\n  warn = function (msg, vm) {\n    if (vm === void 0) {\n      vm = currentInstance;\n    }\n    var trace = vm ? generateComponentTrace(vm) : '';\n    if (config.warnHandler) {\n      config.warnHandler.call(null, msg, vm, trace);\n    } else if (hasConsole_1 && !config.silent) {\n      console.error(\"[Vue warn]: \".concat(msg).concat(trace));\n    }\n  };\n  tip = function (msg, vm) {\n    if (hasConsole_1 && !config.silent) {\n      console.warn(\"[Vue tip]: \".concat(msg) + (vm ? generateComponentTrace(vm) : ''));\n    }\n  };\n  formatComponentName = function (vm, includeFile) {\n    if (vm.$root === vm) {\n      return '<Root>';\n    }\n    var options = isFunction(vm) && vm.cid != null ? vm.options : vm._isVue ? vm.$options || vm.constructor.options : vm;\n    var name = getComponentName(options);\n    var file = options.__file;\n    if (!name && file) {\n      var match = file.match(/([^/\\\\]+)\\.vue$/);\n      name = match && match[1];\n    }\n    return (name ? \"<\".concat(classify_1(name), \">\") : \"<Anonymous>\") + (file && includeFile !== false ? \" at \".concat(file) : '');\n  };\n  var repeat_1 = function (str, n) {\n    var res = '';\n    while (n) {\n      if (n % 2 === 1) res += str;\n      if (n > 1) str += str;\n      n >>= 1;\n    }\n    return res;\n  };\n  generateComponentTrace = function (vm) {\n    if (vm._isVue && vm.$parent) {\n      var tree = [];\n      var currentRecursiveSequence = 0;\n      while (vm) {\n        if (tree.length > 0) {\n          var last = tree[tree.length - 1];\n          if (last.constructor === vm.constructor) {\n            currentRecursiveSequence++;\n            vm = vm.$parent;\n            continue;\n          } else if (currentRecursiveSequence > 0) {\n            tree[tree.length - 1] = [last, currentRecursiveSequence];\n            currentRecursiveSequence = 0;\n          }\n        }\n        tree.push(vm);\n        vm = vm.$parent;\n      }\n      return '\\n\\nfound in\\n\\n' + tree.map(function (vm, i) {\n        return \"\".concat(i === 0 ? '---> ' : repeat_1(' ', 5 + i * 2)).concat(isArray(vm) ? \"\".concat(formatComponentName(vm[0]), \"... (\").concat(vm[1], \" recursive calls)\") : formatComponentName(vm));\n      }).join('\\n');\n    } else {\n      return \"\\n\\n(found in \".concat(formatComponentName(vm), \")\");\n    }\n  };\n}\n\n/**\n * Option overwriting strategies are functions that handle\n * how to merge a parent option value and a child option\n * value into the final value.\n */\nvar strats = config.optionMergeStrategies;\n/**\n * Options with restrictions\n */\nif (true) {\n  strats.el = strats.propsData = function (parent, child, vm, key) {\n    if (!vm) {\n      warn(\"option \\\"\".concat(key, \"\\\" can only be used during instance \") + 'creation with the `new` keyword.');\n    }\n    return defaultStrat(parent, child);\n  };\n}\n/**\n * Helper that recursively merges two data objects together.\n */\nfunction mergeData(to, from, recursive) {\n  if (recursive === void 0) {\n    recursive = true;\n  }\n  if (!from) return to;\n  var key, toVal, fromVal;\n  var keys = hasSymbol ? Reflect.ownKeys(from) : Object.keys(from);\n  for (var i = 0; i < keys.length; i++) {\n    key = keys[i];\n    // in case the object is already observed...\n    if (key === '__ob__') continue;\n    toVal = to[key];\n    fromVal = from[key];\n    if (!recursive || !hasOwn(to, key)) {\n      set(to, key, fromVal);\n    } else if (toVal !== fromVal && isPlainObject(toVal) && isPlainObject(fromVal)) {\n      mergeData(toVal, fromVal);\n    }\n  }\n  return to;\n}\n/**\n * Data\n */\nfunction mergeDataOrFn(parentVal, childVal, vm) {\n  if (!vm) {\n    // in a Vue.extend merge, both should be functions\n    if (!childVal) {\n      return parentVal;\n    }\n    if (!parentVal) {\n      return childVal;\n    }\n    // when parentVal & childVal are both present,\n    // we need to return a function that returns the\n    // merged result of both functions... no need to\n    // check if parentVal is a function here because\n    // it has to be a function to pass previous merges.\n    return function mergedDataFn() {\n      return mergeData(isFunction(childVal) ? childVal.call(this, this) : childVal, isFunction(parentVal) ? parentVal.call(this, this) : parentVal);\n    };\n  } else {\n    return function mergedInstanceDataFn() {\n      // instance merge\n      var instanceData = isFunction(childVal) ? childVal.call(vm, vm) : childVal;\n      var defaultData = isFunction(parentVal) ? parentVal.call(vm, vm) : parentVal;\n      if (instanceData) {\n        return mergeData(instanceData, defaultData);\n      } else {\n        return defaultData;\n      }\n    };\n  }\n}\nstrats.data = function (parentVal, childVal, vm) {\n  if (!vm) {\n    if (childVal && typeof childVal !== 'function') {\n       true && warn('The \"data\" option should be a function ' + 'that returns a per-instance value in component ' + 'definitions.', vm);\n      return parentVal;\n    }\n    return mergeDataOrFn(parentVal, childVal);\n  }\n  return mergeDataOrFn(parentVal, childVal, vm);\n};\n/**\n * Hooks and props are merged as arrays.\n */\nfunction mergeLifecycleHook(parentVal, childVal) {\n  var res = childVal ? parentVal ? parentVal.concat(childVal) : isArray(childVal) ? childVal : [childVal] : parentVal;\n  return res ? dedupeHooks(res) : res;\n}\nfunction dedupeHooks(hooks) {\n  var res = [];\n  for (var i = 0; i < hooks.length; i++) {\n    if (res.indexOf(hooks[i]) === -1) {\n      res.push(hooks[i]);\n    }\n  }\n  return res;\n}\nLIFECYCLE_HOOKS.forEach(function (hook) {\n  strats[hook] = mergeLifecycleHook;\n});\n/**\n * Assets\n *\n * When a vm is present (instance creation), we need to do\n * a three-way merge between constructor options, instance\n * options and parent options.\n */\nfunction mergeAssets(parentVal, childVal, vm, key) {\n  var res = Object.create(parentVal || null);\n  if (childVal) {\n     true && assertObjectType(key, childVal, vm);\n    return extend(res, childVal);\n  } else {\n    return res;\n  }\n}\nASSET_TYPES.forEach(function (type) {\n  strats[type + 's'] = mergeAssets;\n});\n/**\n * Watchers.\n *\n * Watchers hashes should not overwrite one\n * another, so we merge them as arrays.\n */\nstrats.watch = function (parentVal, childVal, vm, key) {\n  // work around Firefox's Object.prototype.watch...\n  //@ts-expect-error work around\n  if (parentVal === nativeWatch) parentVal = undefined;\n  //@ts-expect-error work around\n  if (childVal === nativeWatch) childVal = undefined;\n  /* istanbul ignore if */\n  if (!childVal) return Object.create(parentVal || null);\n  if (true) {\n    assertObjectType(key, childVal, vm);\n  }\n  if (!parentVal) return childVal;\n  var ret = {};\n  extend(ret, parentVal);\n  for (var key_1 in childVal) {\n    var parent_1 = ret[key_1];\n    var child = childVal[key_1];\n    if (parent_1 && !isArray(parent_1)) {\n      parent_1 = [parent_1];\n    }\n    ret[key_1] = parent_1 ? parent_1.concat(child) : isArray(child) ? child : [child];\n  }\n  return ret;\n};\n/**\n * Other object hashes.\n */\nstrats.props = strats.methods = strats.inject = strats.computed = function (parentVal, childVal, vm, key) {\n  if (childVal && \"development\" !== 'production') {\n    assertObjectType(key, childVal, vm);\n  }\n  if (!parentVal) return childVal;\n  var ret = Object.create(null);\n  extend(ret, parentVal);\n  if (childVal) extend(ret, childVal);\n  return ret;\n};\nstrats.provide = function (parentVal, childVal) {\n  if (!parentVal) return childVal;\n  return function () {\n    var ret = Object.create(null);\n    mergeData(ret, isFunction(parentVal) ? parentVal.call(this) : parentVal);\n    if (childVal) {\n      mergeData(ret, isFunction(childVal) ? childVal.call(this) : childVal, false // non-recursive\n      );\n    }\n\n    return ret;\n  };\n};\n/**\n * Default strategy.\n */\nvar defaultStrat = function (parentVal, childVal) {\n  return childVal === undefined ? parentVal : childVal;\n};\n/**\n * Validate component names\n */\nfunction checkComponents(options) {\n  for (var key in options.components) {\n    validateComponentName(key);\n  }\n}\nfunction validateComponentName(name) {\n  if (!new RegExp(\"^[a-zA-Z][\\\\-\\\\.0-9_\".concat(unicodeRegExp.source, \"]*$\")).test(name)) {\n    warn('Invalid component name: \"' + name + '\". Component names ' + 'should conform to valid custom element name in html5 specification.');\n  }\n  if (isBuiltInTag(name) || config.isReservedTag(name)) {\n    warn('Do not use built-in or reserved HTML elements as component ' + 'id: ' + name);\n  }\n}\n/**\n * Ensure all props option syntax are normalized into the\n * Object-based format.\n */\nfunction normalizeProps(options, vm) {\n  var props = options.props;\n  if (!props) return;\n  var res = {};\n  var i, val, name;\n  if (isArray(props)) {\n    i = props.length;\n    while (i--) {\n      val = props[i];\n      if (typeof val === 'string') {\n        name = camelize(val);\n        res[name] = {\n          type: null\n        };\n      } else if (true) {\n        warn('props must be strings when using array syntax.');\n      }\n    }\n  } else if (isPlainObject(props)) {\n    for (var key in props) {\n      val = props[key];\n      name = camelize(key);\n      res[name] = isPlainObject(val) ? val : {\n        type: val\n      };\n    }\n  } else if (true) {\n    warn(\"Invalid value for option \\\"props\\\": expected an Array or an Object, \" + \"but got \".concat(toRawType(props), \".\"), vm);\n  }\n  options.props = res;\n}\n/**\n * Normalize all injections into Object-based format\n */\nfunction normalizeInject(options, vm) {\n  var inject = options.inject;\n  if (!inject) return;\n  var normalized = options.inject = {};\n  if (isArray(inject)) {\n    for (var i = 0; i < inject.length; i++) {\n      normalized[inject[i]] = {\n        from: inject[i]\n      };\n    }\n  } else if (isPlainObject(inject)) {\n    for (var key in inject) {\n      var val = inject[key];\n      normalized[key] = isPlainObject(val) ? extend({\n        from: key\n      }, val) : {\n        from: val\n      };\n    }\n  } else if (true) {\n    warn(\"Invalid value for option \\\"inject\\\": expected an Array or an Object, \" + \"but got \".concat(toRawType(inject), \".\"), vm);\n  }\n}\n/**\n * Normalize raw function directives into object format.\n */\nfunction normalizeDirectives$1(options) {\n  var dirs = options.directives;\n  if (dirs) {\n    for (var key in dirs) {\n      var def = dirs[key];\n      if (isFunction(def)) {\n        dirs[key] = {\n          bind: def,\n          update: def\n        };\n      }\n    }\n  }\n}\nfunction assertObjectType(name, value, vm) {\n  if (!isPlainObject(value)) {\n    warn(\"Invalid value for option \\\"\".concat(name, \"\\\": expected an Object, \") + \"but got \".concat(toRawType(value), \".\"), vm);\n  }\n}\n/**\n * Merge two option objects into a new one.\n * Core utility used in both instantiation and inheritance.\n */\nfunction mergeOptions(parent, child, vm) {\n  if (true) {\n    checkComponents(child);\n  }\n  if (isFunction(child)) {\n    // @ts-expect-error\n    child = child.options;\n  }\n  normalizeProps(child, vm);\n  normalizeInject(child, vm);\n  normalizeDirectives$1(child);\n  // Apply extends and mixins on the child options,\n  // but only if it is a raw options object that isn't\n  // the result of another mergeOptions call.\n  // Only merged options has the _base property.\n  if (!child._base) {\n    if (child.extends) {\n      parent = mergeOptions(parent, child.extends, vm);\n    }\n    if (child.mixins) {\n      for (var i = 0, l = child.mixins.length; i < l; i++) {\n        parent = mergeOptions(parent, child.mixins[i], vm);\n      }\n    }\n  }\n  var options = {};\n  var key;\n  for (key in parent) {\n    mergeField(key);\n  }\n  for (key in child) {\n    if (!hasOwn(parent, key)) {\n      mergeField(key);\n    }\n  }\n  function mergeField(key) {\n    var strat = strats[key] || defaultStrat;\n    options[key] = strat(parent[key], child[key], vm, key);\n  }\n  return options;\n}\n/**\n * Resolve an asset.\n * This function is used because child instances need access\n * to assets defined in its ancestor chain.\n */\nfunction resolveAsset(options, type, id, warnMissing) {\n  /* istanbul ignore if */\n  if (typeof id !== 'string') {\n    return;\n  }\n  var assets = options[type];\n  // check local registration variations first\n  if (hasOwn(assets, id)) return assets[id];\n  var camelizedId = camelize(id);\n  if (hasOwn(assets, camelizedId)) return assets[camelizedId];\n  var PascalCaseId = capitalize(camelizedId);\n  if (hasOwn(assets, PascalCaseId)) return assets[PascalCaseId];\n  // fallback to prototype chain\n  var res = assets[id] || assets[camelizedId] || assets[PascalCaseId];\n  if ( true && warnMissing && !res) {\n    warn('Failed to resolve ' + type.slice(0, -1) + ': ' + id);\n  }\n  return res;\n}\nfunction validateProp(key, propOptions, propsData, vm) {\n  var prop = propOptions[key];\n  var absent = !hasOwn(propsData, key);\n  var value = propsData[key];\n  // boolean casting\n  var booleanIndex = getTypeIndex(Boolean, prop.type);\n  if (booleanIndex > -1) {\n    if (absent && !hasOwn(prop, 'default')) {\n      value = false;\n    } else if (value === '' || value === hyphenate(key)) {\n      // only cast empty string / same name to boolean if\n      // boolean has higher priority\n      var stringIndex = getTypeIndex(String, prop.type);\n      if (stringIndex < 0 || booleanIndex < stringIndex) {\n        value = true;\n      }\n    }\n  }\n  // check default value\n  if (value === undefined) {\n    value = getPropDefaultValue(vm, prop, key);\n    // since the default value is a fresh copy,\n    // make sure to observe it.\n    var prevShouldObserve = shouldObserve;\n    toggleObserving(true);\n    observe(value);\n    toggleObserving(prevShouldObserve);\n  }\n  if (true) {\n    assertProp(prop, key, value, vm, absent);\n  }\n  return value;\n}\n/**\n * Get the default value of a prop.\n */\nfunction getPropDefaultValue(vm, prop, key) {\n  // no default, return undefined\n  if (!hasOwn(prop, 'default')) {\n    return undefined;\n  }\n  var def = prop.default;\n  // warn against non-factory defaults for Object & Array\n  if ( true && isObject(def)) {\n    warn('Invalid default value for prop \"' + key + '\": ' + 'Props with type Object/Array must use a factory function ' + 'to return the default value.', vm);\n  }\n  // the raw prop value was also undefined from previous render,\n  // return previous default value to avoid unnecessary watcher trigger\n  if (vm && vm.$options.propsData && vm.$options.propsData[key] === undefined && vm._props[key] !== undefined) {\n    return vm._props[key];\n  }\n  // call factory function for non-Function types\n  // a value is Function if its prototype is function even across different execution context\n  return isFunction(def) && getType(prop.type) !== 'Function' ? def.call(vm) : def;\n}\n/**\n * Assert whether a prop is valid.\n */\nfunction assertProp(prop, name, value, vm, absent) {\n  if (prop.required && absent) {\n    warn('Missing required prop: \"' + name + '\"', vm);\n    return;\n  }\n  if (value == null && !prop.required) {\n    return;\n  }\n  var type = prop.type;\n  var valid = !type || type === true;\n  var expectedTypes = [];\n  if (type) {\n    if (!isArray(type)) {\n      type = [type];\n    }\n    for (var i = 0; i < type.length && !valid; i++) {\n      var assertedType = assertType(value, type[i], vm);\n      expectedTypes.push(assertedType.expectedType || '');\n      valid = assertedType.valid;\n    }\n  }\n  var haveExpectedTypes = expectedTypes.some(function (t) {\n    return t;\n  });\n  if (!valid && haveExpectedTypes) {\n    warn(getInvalidTypeMessage(name, value, expectedTypes), vm);\n    return;\n  }\n  var validator = prop.validator;\n  if (validator) {\n    if (!validator(value)) {\n      warn('Invalid prop: custom validator check failed for prop \"' + name + '\".', vm);\n    }\n  }\n}\nvar simpleCheckRE = /^(String|Number|Boolean|Function|Symbol|BigInt)$/;\nfunction assertType(value, type, vm) {\n  var valid;\n  var expectedType = getType(type);\n  if (simpleCheckRE.test(expectedType)) {\n    var t = typeof value;\n    valid = t === expectedType.toLowerCase();\n    // for primitive wrapper objects\n    if (!valid && t === 'object') {\n      valid = value instanceof type;\n    }\n  } else if (expectedType === 'Object') {\n    valid = isPlainObject(value);\n  } else if (expectedType === 'Array') {\n    valid = isArray(value);\n  } else {\n    try {\n      valid = value instanceof type;\n    } catch (e) {\n      warn('Invalid prop type: \"' + String(type) + '\" is not a constructor', vm);\n      valid = false;\n    }\n  }\n  return {\n    valid: valid,\n    expectedType: expectedType\n  };\n}\nvar functionTypeCheckRE = /^\\s*function (\\w+)/;\n/**\n * Use function string name to check built-in types,\n * because a simple equality check will fail when running\n * across different vms / iframes.\n */\nfunction getType(fn) {\n  var match = fn && fn.toString().match(functionTypeCheckRE);\n  return match ? match[1] : '';\n}\nfunction isSameType(a, b) {\n  return getType(a) === getType(b);\n}\nfunction getTypeIndex(type, expectedTypes) {\n  if (!isArray(expectedTypes)) {\n    return isSameType(expectedTypes, type) ? 0 : -1;\n  }\n  for (var i = 0, len = expectedTypes.length; i < len; i++) {\n    if (isSameType(expectedTypes[i], type)) {\n      return i;\n    }\n  }\n  return -1;\n}\nfunction getInvalidTypeMessage(name, value, expectedTypes) {\n  var message = \"Invalid prop: type check failed for prop \\\"\".concat(name, \"\\\".\") + \" Expected \".concat(expectedTypes.map(capitalize).join(', '));\n  var expectedType = expectedTypes[0];\n  var receivedType = toRawType(value);\n  // check if we need to specify expected value\n  if (expectedTypes.length === 1 && isExplicable(expectedType) && isExplicable(typeof value) && !isBoolean(expectedType, receivedType)) {\n    message += \" with value \".concat(styleValue(value, expectedType));\n  }\n  message += \", got \".concat(receivedType, \" \");\n  // check if we need to specify received value\n  if (isExplicable(receivedType)) {\n    message += \"with value \".concat(styleValue(value, receivedType), \".\");\n  }\n  return message;\n}\nfunction styleValue(value, type) {\n  if (type === 'String') {\n    return \"\\\"\".concat(value, \"\\\"\");\n  } else if (type === 'Number') {\n    return \"\".concat(Number(value));\n  } else {\n    return \"\".concat(value);\n  }\n}\nvar EXPLICABLE_TYPES = ['string', 'number', 'boolean'];\nfunction isExplicable(value) {\n  return EXPLICABLE_TYPES.some(function (elem) {\n    return value.toLowerCase() === elem;\n  });\n}\nfunction isBoolean() {\n  var args = [];\n  for (var _i = 0; _i < arguments.length; _i++) {\n    args[_i] = arguments[_i];\n  }\n  return args.some(function (elem) {\n    return elem.toLowerCase() === 'boolean';\n  });\n}\n\n/* not type checking this file because flow doesn't play well with Proxy */\nvar initProxy;\nif (true) {\n  var allowedGlobals_1 = makeMap('Infinity,undefined,NaN,isFinite,isNaN,' + 'parseFloat,parseInt,decodeURI,decodeURIComponent,encodeURI,encodeURIComponent,' + 'Math,Number,Date,Array,Object,Boolean,String,RegExp,Map,Set,JSON,Intl,BigInt,' + 'require' // for Webpack/Browserify\n  );\n\n  var warnNonPresent_1 = function (target, key) {\n    warn(\"Property or method \\\"\".concat(key, \"\\\" is not defined on the instance but \") + 'referenced during render. Make sure that this property is reactive, ' + 'either in the data option, or for class-based components, by ' + 'initializing the property. ' + 'See: https://v2.vuejs.org/v2/guide/reactivity.html#Declaring-Reactive-Properties.', target);\n  };\n  var warnReservedPrefix_1 = function (target, key) {\n    warn(\"Property \\\"\".concat(key, \"\\\" must be accessed with \\\"$data.\").concat(key, \"\\\" because \") + 'properties starting with \"$\" or \"_\" are not proxied in the Vue instance to ' + 'prevent conflicts with Vue internals. ' + 'See: https://v2.vuejs.org/v2/api/#data', target);\n  };\n  var hasProxy_1 = typeof Proxy !== 'undefined' && isNative(Proxy);\n  if (hasProxy_1) {\n    var isBuiltInModifier_1 = makeMap('stop,prevent,self,ctrl,shift,alt,meta,exact');\n    config.keyCodes = new Proxy(config.keyCodes, {\n      set: function (target, key, value) {\n        if (isBuiltInModifier_1(key)) {\n          warn(\"Avoid overwriting built-in modifier in config.keyCodes: .\".concat(key));\n          return false;\n        } else {\n          target[key] = value;\n          return true;\n        }\n      }\n    });\n  }\n  var hasHandler_1 = {\n    has: function (target, key) {\n      var has = (key in target);\n      var isAllowed = allowedGlobals_1(key) || typeof key === 'string' && key.charAt(0) === '_' && !(key in target.$data);\n      if (!has && !isAllowed) {\n        if (key in target.$data) warnReservedPrefix_1(target, key);else warnNonPresent_1(target, key);\n      }\n      return has || !isAllowed;\n    }\n  };\n  var getHandler_1 = {\n    get: function (target, key) {\n      if (typeof key === 'string' && !(key in target)) {\n        if (key in target.$data) warnReservedPrefix_1(target, key);else warnNonPresent_1(target, key);\n      }\n      return target[key];\n    }\n  };\n  initProxy = function initProxy(vm) {\n    if (hasProxy_1) {\n      // determine which proxy handler to use\n      var options = vm.$options;\n      var handlers = options.render && options.render._withStripped ? getHandler_1 : hasHandler_1;\n      vm._renderProxy = new Proxy(vm, handlers);\n    } else {\n      vm._renderProxy = vm;\n    }\n  };\n}\nvar sharedPropertyDefinition = {\n  enumerable: true,\n  configurable: true,\n  get: noop,\n  set: noop\n};\nfunction proxy(target, sourceKey, key) {\n  sharedPropertyDefinition.get = function proxyGetter() {\n    return this[sourceKey][key];\n  };\n  sharedPropertyDefinition.set = function proxySetter(val) {\n    this[sourceKey][key] = val;\n  };\n  Object.defineProperty(target, key, sharedPropertyDefinition);\n}\nfunction initState(vm) {\n  var opts = vm.$options;\n  if (opts.props) initProps$1(vm, opts.props);\n  // Composition API\n  initSetup(vm);\n  if (opts.methods) initMethods(vm, opts.methods);\n  if (opts.data) {\n    initData(vm);\n  } else {\n    var ob = observe(vm._data = {});\n    ob && ob.vmCount++;\n  }\n  if (opts.computed) initComputed$1(vm, opts.computed);\n  if (opts.watch && opts.watch !== nativeWatch) {\n    initWatch(vm, opts.watch);\n  }\n}\nfunction initProps$1(vm, propsOptions) {\n  var propsData = vm.$options.propsData || {};\n  var props = vm._props = shallowReactive({});\n  // cache prop keys so that future props updates can iterate using Array\n  // instead of dynamic object key enumeration.\n  var keys = vm.$options._propKeys = [];\n  var isRoot = !vm.$parent;\n  // root instance props should be converted\n  if (!isRoot) {\n    toggleObserving(false);\n  }\n  var _loop_1 = function (key) {\n    keys.push(key);\n    var value = validateProp(key, propsOptions, propsData, vm);\n    /* istanbul ignore else */\n    if (true) {\n      var hyphenatedKey = hyphenate(key);\n      if (isReservedAttribute(hyphenatedKey) || config.isReservedAttr(hyphenatedKey)) {\n        warn(\"\\\"\".concat(hyphenatedKey, \"\\\" is a reserved attribute and cannot be used as component prop.\"), vm);\n      }\n      defineReactive(props, key, value, function () {\n        if (!isRoot && !isUpdatingChildComponent) {\n          warn(\"Avoid mutating a prop directly since the value will be \" + \"overwritten whenever the parent component re-renders. \" + \"Instead, use a data or computed property based on the prop's \" + \"value. Prop being mutated: \\\"\".concat(key, \"\\\"\"), vm);\n        }\n      });\n    } else {}\n    // static props are already proxied on the component's prototype\n    // during Vue.extend(). We only need to proxy props defined at\n    // instantiation here.\n    if (!(key in vm)) {\n      proxy(vm, \"_props\", key);\n    }\n  };\n  for (var key in propsOptions) {\n    _loop_1(key);\n  }\n  toggleObserving(true);\n}\nfunction initData(vm) {\n  var data = vm.$options.data;\n  data = vm._data = isFunction(data) ? getData(data, vm) : data || {};\n  if (!isPlainObject(data)) {\n    data = {};\n     true && warn('data functions should return an object:\\n' + 'https://v2.vuejs.org/v2/guide/components.html#data-Must-Be-a-Function', vm);\n  }\n  // proxy data on instance\n  var keys = Object.keys(data);\n  var props = vm.$options.props;\n  var methods = vm.$options.methods;\n  var i = keys.length;\n  while (i--) {\n    var key = keys[i];\n    if (true) {\n      if (methods && hasOwn(methods, key)) {\n        warn(\"Method \\\"\".concat(key, \"\\\" has already been defined as a data property.\"), vm);\n      }\n    }\n    if (props && hasOwn(props, key)) {\n       true && warn(\"The data property \\\"\".concat(key, \"\\\" is already declared as a prop. \") + \"Use prop default value instead.\", vm);\n    } else if (!isReserved(key)) {\n      proxy(vm, \"_data\", key);\n    }\n  }\n  // observe data\n  var ob = observe(data);\n  ob && ob.vmCount++;\n}\nfunction getData(data, vm) {\n  // #7573 disable dep collection when invoking data getters\n  pushTarget();\n  try {\n    return data.call(vm, vm);\n  } catch (e) {\n    handleError(e, vm, \"data()\");\n    return {};\n  } finally {\n    popTarget();\n  }\n}\nvar computedWatcherOptions = {\n  lazy: true\n};\nfunction initComputed$1(vm, computed) {\n  // $flow-disable-line\n  var watchers = vm._computedWatchers = Object.create(null);\n  // computed properties are just getters during SSR\n  var isSSR = isServerRendering();\n  for (var key in computed) {\n    var userDef = computed[key];\n    var getter = isFunction(userDef) ? userDef : userDef.get;\n    if ( true && getter == null) {\n      warn(\"Getter is missing for computed property \\\"\".concat(key, \"\\\".\"), vm);\n    }\n    if (!isSSR) {\n      // create internal watcher for the computed property.\n      watchers[key] = new Watcher(vm, getter || noop, noop, computedWatcherOptions);\n    }\n    // component-defined computed properties are already defined on the\n    // component prototype. We only need to define computed properties defined\n    // at instantiation here.\n    if (!(key in vm)) {\n      defineComputed(vm, key, userDef);\n    } else if (true) {\n      if (key in vm.$data) {\n        warn(\"The computed property \\\"\".concat(key, \"\\\" is already defined in data.\"), vm);\n      } else if (vm.$options.props && key in vm.$options.props) {\n        warn(\"The computed property \\\"\".concat(key, \"\\\" is already defined as a prop.\"), vm);\n      } else if (vm.$options.methods && key in vm.$options.methods) {\n        warn(\"The computed property \\\"\".concat(key, \"\\\" is already defined as a method.\"), vm);\n      }\n    }\n  }\n}\nfunction defineComputed(target, key, userDef) {\n  var shouldCache = !isServerRendering();\n  if (isFunction(userDef)) {\n    sharedPropertyDefinition.get = shouldCache ? createComputedGetter(key) : createGetterInvoker(userDef);\n    sharedPropertyDefinition.set = noop;\n  } else {\n    sharedPropertyDefinition.get = userDef.get ? shouldCache && userDef.cache !== false ? createComputedGetter(key) : createGetterInvoker(userDef.get) : noop;\n    sharedPropertyDefinition.set = userDef.set || noop;\n  }\n  if ( true && sharedPropertyDefinition.set === noop) {\n    sharedPropertyDefinition.set = function () {\n      warn(\"Computed property \\\"\".concat(key, \"\\\" was assigned to but it has no setter.\"), this);\n    };\n  }\n  Object.defineProperty(target, key, sharedPropertyDefinition);\n}\nfunction createComputedGetter(key) {\n  return function computedGetter() {\n    var watcher = this._computedWatchers && this._computedWatchers[key];\n    if (watcher) {\n      if (watcher.dirty) {\n        watcher.evaluate();\n      }\n      if (Dep.target) {\n        if ( true && Dep.target.onTrack) {\n          Dep.target.onTrack({\n            effect: Dep.target,\n            target: this,\n            type: \"get\" /* TrackOpTypes.GET */,\n            key: key\n          });\n        }\n        watcher.depend();\n      }\n      return watcher.value;\n    }\n  };\n}\nfunction createGetterInvoker(fn) {\n  return function computedGetter() {\n    return fn.call(this, this);\n  };\n}\nfunction initMethods(vm, methods) {\n  var props = vm.$options.props;\n  for (var key in methods) {\n    if (true) {\n      if (typeof methods[key] !== 'function') {\n        warn(\"Method \\\"\".concat(key, \"\\\" has type \\\"\").concat(typeof methods[key], \"\\\" in the component definition. \") + \"Did you reference the function correctly?\", vm);\n      }\n      if (props && hasOwn(props, key)) {\n        warn(\"Method \\\"\".concat(key, \"\\\" has already been defined as a prop.\"), vm);\n      }\n      if (key in vm && isReserved(key)) {\n        warn(\"Method \\\"\".concat(key, \"\\\" conflicts with an existing Vue instance method. \") + \"Avoid defining component methods that start with _ or $.\");\n      }\n    }\n    vm[key] = typeof methods[key] !== 'function' ? noop : bind(methods[key], vm);\n  }\n}\nfunction initWatch(vm, watch) {\n  for (var key in watch) {\n    var handler = watch[key];\n    if (isArray(handler)) {\n      for (var i = 0; i < handler.length; i++) {\n        createWatcher(vm, key, handler[i]);\n      }\n    } else {\n      createWatcher(vm, key, handler);\n    }\n  }\n}\nfunction createWatcher(vm, expOrFn, handler, options) {\n  if (isPlainObject(handler)) {\n    options = handler;\n    handler = handler.handler;\n  }\n  if (typeof handler === 'string') {\n    handler = vm[handler];\n  }\n  return vm.$watch(expOrFn, handler, options);\n}\nfunction stateMixin(Vue) {\n  // flow somehow has problems with directly declared definition object\n  // when using Object.defineProperty, so we have to procedurally build up\n  // the object here.\n  var dataDef = {};\n  dataDef.get = function () {\n    return this._data;\n  };\n  var propsDef = {};\n  propsDef.get = function () {\n    return this._props;\n  };\n  if (true) {\n    dataDef.set = function () {\n      warn('Avoid replacing instance root $data. ' + 'Use nested data properties instead.', this);\n    };\n    propsDef.set = function () {\n      warn(\"$props is readonly.\", this);\n    };\n  }\n  Object.defineProperty(Vue.prototype, '$data', dataDef);\n  Object.defineProperty(Vue.prototype, '$props', propsDef);\n  Vue.prototype.$set = set;\n  Vue.prototype.$delete = del;\n  Vue.prototype.$watch = function (expOrFn, cb, options) {\n    var vm = this;\n    if (isPlainObject(cb)) {\n      return createWatcher(vm, expOrFn, cb, options);\n    }\n    options = options || {};\n    options.user = true;\n    var watcher = new Watcher(vm, expOrFn, cb, options);\n    if (options.immediate) {\n      var info = \"callback for immediate watcher \\\"\".concat(watcher.expression, \"\\\"\");\n      pushTarget();\n      invokeWithErrorHandling(cb, vm, [watcher.value], vm, info);\n      popTarget();\n    }\n    return function unwatchFn() {\n      watcher.teardown();\n    };\n  };\n}\nvar uid = 0;\nfunction initMixin$1(Vue) {\n  Vue.prototype._init = function (options) {\n    var vm = this;\n    // a uid\n    vm._uid = uid++;\n    var startTag, endTag;\n    /* istanbul ignore if */\n    if ( true && config.performance && mark) {\n      startTag = \"vue-perf-start:\".concat(vm._uid);\n      endTag = \"vue-perf-end:\".concat(vm._uid);\n      mark(startTag);\n    }\n    // a flag to mark this as a Vue instance without having to do instanceof\n    // check\n    vm._isVue = true;\n    // avoid instances from being observed\n    vm.__v_skip = true;\n    // effect scope\n    vm._scope = new EffectScope(true /* detached */);\n    vm._scope._vm = true;\n    // merge options\n    if (options && options._isComponent) {\n      // optimize internal component instantiation\n      // since dynamic options merging is pretty slow, and none of the\n      // internal component options needs special treatment.\n      initInternalComponent(vm, options);\n    } else {\n      vm.$options = mergeOptions(resolveConstructorOptions(vm.constructor), options || {}, vm);\n    }\n    /* istanbul ignore else */\n    if (true) {\n      initProxy(vm);\n    } else {}\n    // expose real self\n    vm._self = vm;\n    initLifecycle(vm);\n    initEvents(vm);\n    initRender(vm);\n    callHook$1(vm, 'beforeCreate', undefined, false /* setContext */);\n    initInjections(vm); // resolve injections before data/props\n    initState(vm);\n    initProvide(vm); // resolve provide after data/props\n    callHook$1(vm, 'created');\n    /* istanbul ignore if */\n    if ( true && config.performance && mark) {\n      vm._name = formatComponentName(vm, false);\n      mark(endTag);\n      measure(\"vue \".concat(vm._name, \" init\"), startTag, endTag);\n    }\n    if (vm.$options.el) {\n      vm.$mount(vm.$options.el);\n    }\n  };\n}\nfunction initInternalComponent(vm, options) {\n  var opts = vm.$options = Object.create(vm.constructor.options);\n  // doing this because it's faster than dynamic enumeration.\n  var parentVnode = options._parentVnode;\n  opts.parent = options.parent;\n  opts._parentVnode = parentVnode;\n  var vnodeComponentOptions = parentVnode.componentOptions;\n  opts.propsData = vnodeComponentOptions.propsData;\n  opts._parentListeners = vnodeComponentOptions.listeners;\n  opts._renderChildren = vnodeComponentOptions.children;\n  opts._componentTag = vnodeComponentOptions.tag;\n  if (options.render) {\n    opts.render = options.render;\n    opts.staticRenderFns = options.staticRenderFns;\n  }\n}\nfunction resolveConstructorOptions(Ctor) {\n  var options = Ctor.options;\n  if (Ctor.super) {\n    var superOptions = resolveConstructorOptions(Ctor.super);\n    var cachedSuperOptions = Ctor.superOptions;\n    if (superOptions !== cachedSuperOptions) {\n      // super option changed,\n      // need to resolve new options.\n      Ctor.superOptions = superOptions;\n      // check if there are any late-modified/attached options (#4976)\n      var modifiedOptions = resolveModifiedOptions(Ctor);\n      // update base extend options\n      if (modifiedOptions) {\n        extend(Ctor.extendOptions, modifiedOptions);\n      }\n      options = Ctor.options = mergeOptions(superOptions, Ctor.extendOptions);\n      if (options.name) {\n        options.components[options.name] = Ctor;\n      }\n    }\n  }\n  return options;\n}\nfunction resolveModifiedOptions(Ctor) {\n  var modified;\n  var latest = Ctor.options;\n  var sealed = Ctor.sealedOptions;\n  for (var key in latest) {\n    if (latest[key] !== sealed[key]) {\n      if (!modified) modified = {};\n      modified[key] = latest[key];\n    }\n  }\n  return modified;\n}\nfunction Vue(options) {\n  if ( true && !(this instanceof Vue)) {\n    warn('Vue is a constructor and should be called with the `new` keyword');\n  }\n  this._init(options);\n}\n//@ts-expect-error Vue has function type\ninitMixin$1(Vue);\n//@ts-expect-error Vue has function type\nstateMixin(Vue);\n//@ts-expect-error Vue has function type\neventsMixin(Vue);\n//@ts-expect-error Vue has function type\nlifecycleMixin(Vue);\n//@ts-expect-error Vue has function type\nrenderMixin(Vue);\nfunction initUse(Vue) {\n  Vue.use = function (plugin) {\n    var installedPlugins = this._installedPlugins || (this._installedPlugins = []);\n    if (installedPlugins.indexOf(plugin) > -1) {\n      return this;\n    }\n    // additional parameters\n    var args = toArray(arguments, 1);\n    args.unshift(this);\n    if (isFunction(plugin.install)) {\n      plugin.install.apply(plugin, args);\n    } else if (isFunction(plugin)) {\n      plugin.apply(null, args);\n    }\n    installedPlugins.push(plugin);\n    return this;\n  };\n}\nfunction initMixin(Vue) {\n  Vue.mixin = function (mixin) {\n    this.options = mergeOptions(this.options, mixin);\n    return this;\n  };\n}\nfunction initExtend(Vue) {\n  /**\n   * Each instance constructor, including Vue, has a unique\n   * cid. This enables us to create wrapped \"child\n   * constructors\" for prototypal inheritance and cache them.\n   */\n  Vue.cid = 0;\n  var cid = 1;\n  /**\n   * Class inheritance\n   */\n  Vue.extend = function (extendOptions) {\n    extendOptions = extendOptions || {};\n    var Super = this;\n    var SuperId = Super.cid;\n    var cachedCtors = extendOptions._Ctor || (extendOptions._Ctor = {});\n    if (cachedCtors[SuperId]) {\n      return cachedCtors[SuperId];\n    }\n    var name = getComponentName(extendOptions) || getComponentName(Super.options);\n    if ( true && name) {\n      validateComponentName(name);\n    }\n    var Sub = function VueComponent(options) {\n      this._init(options);\n    };\n    Sub.prototype = Object.create(Super.prototype);\n    Sub.prototype.constructor = Sub;\n    Sub.cid = cid++;\n    Sub.options = mergeOptions(Super.options, extendOptions);\n    Sub['super'] = Super;\n    // For props and computed properties, we define the proxy getters on\n    // the Vue instances at extension time, on the extended prototype. This\n    // avoids Object.defineProperty calls for each instance created.\n    if (Sub.options.props) {\n      initProps(Sub);\n    }\n    if (Sub.options.computed) {\n      initComputed(Sub);\n    }\n    // allow further extension/mixin/plugin usage\n    Sub.extend = Super.extend;\n    Sub.mixin = Super.mixin;\n    Sub.use = Super.use;\n    // create asset registers, so extended classes\n    // can have their private assets too.\n    ASSET_TYPES.forEach(function (type) {\n      Sub[type] = Super[type];\n    });\n    // enable recursive self-lookup\n    if (name) {\n      Sub.options.components[name] = Sub;\n    }\n    // keep a reference to the super options at extension time.\n    // later at instantiation we can check if Super's options have\n    // been updated.\n    Sub.superOptions = Super.options;\n    Sub.extendOptions = extendOptions;\n    Sub.sealedOptions = extend({}, Sub.options);\n    // cache constructor\n    cachedCtors[SuperId] = Sub;\n    return Sub;\n  };\n}\nfunction initProps(Comp) {\n  var props = Comp.options.props;\n  for (var key in props) {\n    proxy(Comp.prototype, \"_props\", key);\n  }\n}\nfunction initComputed(Comp) {\n  var computed = Comp.options.computed;\n  for (var key in computed) {\n    defineComputed(Comp.prototype, key, computed[key]);\n  }\n}\nfunction initAssetRegisters(Vue) {\n  /**\n   * Create asset registration methods.\n   */\n  ASSET_TYPES.forEach(function (type) {\n    // @ts-expect-error function is not exact same type\n    Vue[type] = function (id, definition) {\n      if (!definition) {\n        return this.options[type + 's'][id];\n      } else {\n        /* istanbul ignore if */\n        if ( true && type === 'component') {\n          validateComponentName(id);\n        }\n        if (type === 'component' && isPlainObject(definition)) {\n          // @ts-expect-error\n          definition.name = definition.name || id;\n          definition = this.options._base.extend(definition);\n        }\n        if (type === 'directive' && isFunction(definition)) {\n          definition = {\n            bind: definition,\n            update: definition\n          };\n        }\n        this.options[type + 's'][id] = definition;\n        return definition;\n      }\n    };\n  });\n}\nfunction _getComponentName(opts) {\n  return opts && (getComponentName(opts.Ctor.options) || opts.tag);\n}\nfunction matches(pattern, name) {\n  if (isArray(pattern)) {\n    return pattern.indexOf(name) > -1;\n  } else if (typeof pattern === 'string') {\n    return pattern.split(',').indexOf(name) > -1;\n  } else if (isRegExp(pattern)) {\n    return pattern.test(name);\n  }\n  /* istanbul ignore next */\n  return false;\n}\nfunction pruneCache(keepAliveInstance, filter) {\n  var cache = keepAliveInstance.cache,\n    keys = keepAliveInstance.keys,\n    _vnode = keepAliveInstance._vnode;\n  for (var key in cache) {\n    var entry = cache[key];\n    if (entry) {\n      var name_1 = entry.name;\n      if (name_1 && !filter(name_1)) {\n        pruneCacheEntry(cache, key, keys, _vnode);\n      }\n    }\n  }\n}\nfunction pruneCacheEntry(cache, key, keys, current) {\n  var entry = cache[key];\n  if (entry && (!current || entry.tag !== current.tag)) {\n    // @ts-expect-error can be undefined\n    entry.componentInstance.$destroy();\n  }\n  cache[key] = null;\n  remove$2(keys, key);\n}\nvar patternTypes = [String, RegExp, Array];\n// TODO defineComponent\nvar KeepAlive = {\n  name: 'keep-alive',\n  abstract: true,\n  props: {\n    include: patternTypes,\n    exclude: patternTypes,\n    max: [String, Number]\n  },\n  methods: {\n    cacheVNode: function () {\n      var _a = this,\n        cache = _a.cache,\n        keys = _a.keys,\n        vnodeToCache = _a.vnodeToCache,\n        keyToCache = _a.keyToCache;\n      if (vnodeToCache) {\n        var tag = vnodeToCache.tag,\n          componentInstance = vnodeToCache.componentInstance,\n          componentOptions = vnodeToCache.componentOptions;\n        cache[keyToCache] = {\n          name: _getComponentName(componentOptions),\n          tag: tag,\n          componentInstance: componentInstance\n        };\n        keys.push(keyToCache);\n        // prune oldest entry\n        if (this.max && keys.length > parseInt(this.max)) {\n          pruneCacheEntry(cache, keys[0], keys, this._vnode);\n        }\n        this.vnodeToCache = null;\n      }\n    }\n  },\n  created: function () {\n    this.cache = Object.create(null);\n    this.keys = [];\n  },\n  destroyed: function () {\n    for (var key in this.cache) {\n      pruneCacheEntry(this.cache, key, this.keys);\n    }\n  },\n  mounted: function () {\n    var _this = this;\n    this.cacheVNode();\n    this.$watch('include', function (val) {\n      pruneCache(_this, function (name) {\n        return matches(val, name);\n      });\n    });\n    this.$watch('exclude', function (val) {\n      pruneCache(_this, function (name) {\n        return !matches(val, name);\n      });\n    });\n  },\n  updated: function () {\n    this.cacheVNode();\n  },\n  render: function () {\n    var slot = this.$slots.default;\n    var vnode = getFirstComponentChild(slot);\n    var componentOptions = vnode && vnode.componentOptions;\n    if (componentOptions) {\n      // check pattern\n      var name_2 = _getComponentName(componentOptions);\n      var _a = this,\n        include = _a.include,\n        exclude = _a.exclude;\n      if (\n      // not included\n      include && (!name_2 || !matches(include, name_2)) ||\n      // excluded\n      exclude && name_2 && matches(exclude, name_2)) {\n        return vnode;\n      }\n      var _b = this,\n        cache = _b.cache,\n        keys = _b.keys;\n      var key = vnode.key == null ?\n      // same constructor may get registered as different local components\n      // so cid alone is not enough (#3269)\n      componentOptions.Ctor.cid + (componentOptions.tag ? \"::\".concat(componentOptions.tag) : '') : vnode.key;\n      if (cache[key]) {\n        vnode.componentInstance = cache[key].componentInstance;\n        // make current key freshest\n        remove$2(keys, key);\n        keys.push(key);\n      } else {\n        // delay setting the cache until update\n        this.vnodeToCache = vnode;\n        this.keyToCache = key;\n      }\n      // @ts-expect-error can vnode.data can be undefined\n      vnode.data.keepAlive = true;\n    }\n    return vnode || slot && slot[0];\n  }\n};\nvar builtInComponents = {\n  KeepAlive: KeepAlive\n};\nfunction initGlobalAPI(Vue) {\n  // config\n  var configDef = {};\n  configDef.get = function () {\n    return config;\n  };\n  if (true) {\n    configDef.set = function () {\n      warn('Do not replace the Vue.config object, set individual fields instead.');\n    };\n  }\n  Object.defineProperty(Vue, 'config', configDef);\n  // exposed util methods.\n  // NOTE: these are not considered part of the public API - avoid relying on\n  // them unless you are aware of the risk.\n  Vue.util = {\n    warn: warn,\n    extend: extend,\n    mergeOptions: mergeOptions,\n    defineReactive: defineReactive\n  };\n  Vue.set = set;\n  Vue.delete = del;\n  Vue.nextTick = nextTick;\n  // 2.6 explicit observable API\n  Vue.observable = function (obj) {\n    observe(obj);\n    return obj;\n  };\n  Vue.options = Object.create(null);\n  ASSET_TYPES.forEach(function (type) {\n    Vue.options[type + 's'] = Object.create(null);\n  });\n  // this is used to identify the \"base\" constructor to extend all plain-object\n  // components with in Weex's multi-instance scenarios.\n  Vue.options._base = Vue;\n  extend(Vue.options.components, builtInComponents);\n  initUse(Vue);\n  initMixin(Vue);\n  initExtend(Vue);\n  initAssetRegisters(Vue);\n}\ninitGlobalAPI(Vue);\nObject.defineProperty(Vue.prototype, '$isServer', {\n  get: isServerRendering\n});\nObject.defineProperty(Vue.prototype, '$ssrContext', {\n  get: function () {\n    /* istanbul ignore next */\n    return this.$vnode && this.$vnode.ssrContext;\n  }\n});\n// expose FunctionalRenderContext for ssr runtime helper installation\nObject.defineProperty(Vue, 'FunctionalRenderContext', {\n  value: FunctionalRenderContext\n});\nVue.version = version;\n\n// these are reserved for web because they are directly compiled away\n// during template compilation\nvar isReservedAttr = makeMap('style,class');\n// attributes that should be using props for binding\nvar acceptValue = makeMap('input,textarea,option,select,progress');\nvar mustUseProp = function (tag, type, attr) {\n  return attr === 'value' && acceptValue(tag) && type !== 'button' || attr === 'selected' && tag === 'option' || attr === 'checked' && tag === 'input' || attr === 'muted' && tag === 'video';\n};\nvar isEnumeratedAttr = makeMap('contenteditable,draggable,spellcheck');\nvar isValidContentEditableValue = makeMap('events,caret,typing,plaintext-only');\nvar convertEnumeratedValue = function (key, value) {\n  return isFalsyAttrValue(value) || value === 'false' ? 'false' :\n  // allow arbitrary string value for contenteditable\n  key === 'contenteditable' && isValidContentEditableValue(value) ? value : 'true';\n};\nvar isBooleanAttr = makeMap('allowfullscreen,async,autofocus,autoplay,checked,compact,controls,declare,' + 'default,defaultchecked,defaultmuted,defaultselected,defer,disabled,' + 'enabled,formnovalidate,hidden,indeterminate,inert,ismap,itemscope,loop,multiple,' + 'muted,nohref,noresize,noshade,novalidate,nowrap,open,pauseonexit,readonly,' + 'required,reversed,scoped,seamless,selected,sortable,' + 'truespeed,typemustmatch,visible');\nvar xlinkNS = 'http://www.w3.org/1999/xlink';\nvar isXlink = function (name) {\n  return name.charAt(5) === ':' && name.slice(0, 5) === 'xlink';\n};\nvar getXlinkProp = function (name) {\n  return isXlink(name) ? name.slice(6, name.length) : '';\n};\nvar isFalsyAttrValue = function (val) {\n  return val == null || val === false;\n};\nfunction genClassForVnode(vnode) {\n  var data = vnode.data;\n  var parentNode = vnode;\n  var childNode = vnode;\n  while (isDef(childNode.componentInstance)) {\n    childNode = childNode.componentInstance._vnode;\n    if (childNode && childNode.data) {\n      data = mergeClassData(childNode.data, data);\n    }\n  }\n  // @ts-expect-error parentNode.parent not VNodeWithData\n  while (isDef(parentNode = parentNode.parent)) {\n    if (parentNode && parentNode.data) {\n      data = mergeClassData(data, parentNode.data);\n    }\n  }\n  return renderClass(data.staticClass, data.class);\n}\nfunction mergeClassData(child, parent) {\n  return {\n    staticClass: concat(child.staticClass, parent.staticClass),\n    class: isDef(child.class) ? [child.class, parent.class] : parent.class\n  };\n}\nfunction renderClass(staticClass, dynamicClass) {\n  if (isDef(staticClass) || isDef(dynamicClass)) {\n    return concat(staticClass, stringifyClass(dynamicClass));\n  }\n  /* istanbul ignore next */\n  return '';\n}\nfunction concat(a, b) {\n  return a ? b ? a + ' ' + b : a : b || '';\n}\nfunction stringifyClass(value) {\n  if (Array.isArray(value)) {\n    return stringifyArray(value);\n  }\n  if (isObject(value)) {\n    return stringifyObject(value);\n  }\n  if (typeof value === 'string') {\n    return value;\n  }\n  /* istanbul ignore next */\n  return '';\n}\nfunction stringifyArray(value) {\n  var res = '';\n  var stringified;\n  for (var i = 0, l = value.length; i < l; i++) {\n    if (isDef(stringified = stringifyClass(value[i])) && stringified !== '') {\n      if (res) res += ' ';\n      res += stringified;\n    }\n  }\n  return res;\n}\nfunction stringifyObject(value) {\n  var res = '';\n  for (var key in value) {\n    if (value[key]) {\n      if (res) res += ' ';\n      res += key;\n    }\n  }\n  return res;\n}\nvar namespaceMap = {\n  svg: 'http://www.w3.org/2000/svg',\n  math: 'http://www.w3.org/1998/Math/MathML'\n};\nvar isHTMLTag = makeMap('html,body,base,head,link,meta,style,title,' + 'address,article,aside,footer,header,h1,h2,h3,h4,h5,h6,hgroup,nav,section,' + 'div,dd,dl,dt,figcaption,figure,picture,hr,img,li,main,ol,p,pre,ul,' + 'a,b,abbr,bdi,bdo,br,cite,code,data,dfn,em,i,kbd,mark,q,rp,rt,rtc,ruby,' + 's,samp,small,span,strong,sub,sup,time,u,var,wbr,area,audio,map,track,video,' + 'embed,object,param,source,canvas,script,noscript,del,ins,' + 'caption,col,colgroup,table,thead,tbody,td,th,tr,' + 'button,datalist,fieldset,form,input,label,legend,meter,optgroup,option,' + 'output,progress,select,textarea,' + 'details,dialog,menu,menuitem,summary,' + 'content,element,shadow,template,blockquote,iframe,tfoot');\n// this map is intentionally selective, only covering SVG elements that may\n// contain child elements.\nvar isSVG = makeMap('svg,animate,circle,clippath,cursor,defs,desc,ellipse,filter,font-face,' + 'foreignobject,g,glyph,image,line,marker,mask,missing-glyph,path,pattern,' + 'polygon,polyline,rect,switch,symbol,text,textpath,tspan,use,view', true);\nvar isReservedTag = function (tag) {\n  return isHTMLTag(tag) || isSVG(tag);\n};\nfunction getTagNamespace(tag) {\n  if (isSVG(tag)) {\n    return 'svg';\n  }\n  // basic support for MathML\n  // note it doesn't support other MathML elements being component roots\n  if (tag === 'math') {\n    return 'math';\n  }\n}\nvar unknownElementCache = Object.create(null);\nfunction isUnknownElement(tag) {\n  /* istanbul ignore if */\n  if (!inBrowser) {\n    return true;\n  }\n  if (isReservedTag(tag)) {\n    return false;\n  }\n  tag = tag.toLowerCase();\n  /* istanbul ignore if */\n  if (unknownElementCache[tag] != null) {\n    return unknownElementCache[tag];\n  }\n  var el = document.createElement(tag);\n  if (tag.indexOf('-') > -1) {\n    // http://stackoverflow.com/a/28210364/1070244\n    return unknownElementCache[tag] = el.constructor === window.HTMLUnknownElement || el.constructor === window.HTMLElement;\n  } else {\n    return unknownElementCache[tag] = /HTMLUnknownElement/.test(el.toString());\n  }\n}\nvar isTextInputType = makeMap('text,number,password,search,email,tel,url');\n\n/**\n * Query an element selector if it's not an element already.\n */\nfunction query(el) {\n  if (typeof el === 'string') {\n    var selected = document.querySelector(el);\n    if (!selected) {\n       true && warn('Cannot find element: ' + el);\n      return document.createElement('div');\n    }\n    return selected;\n  } else {\n    return el;\n  }\n}\nfunction createElement(tagName, vnode) {\n  var elm = document.createElement(tagName);\n  if (tagName !== 'select') {\n    return elm;\n  }\n  // false or null will remove the attribute but undefined will not\n  if (vnode.data && vnode.data.attrs && vnode.data.attrs.multiple !== undefined) {\n    elm.setAttribute('multiple', 'multiple');\n  }\n  return elm;\n}\nfunction createElementNS(namespace, tagName) {\n  return document.createElementNS(namespaceMap[namespace], tagName);\n}\nfunction createTextNode(text) {\n  return document.createTextNode(text);\n}\nfunction createComment(text) {\n  return document.createComment(text);\n}\nfunction insertBefore(parentNode, newNode, referenceNode) {\n  parentNode.insertBefore(newNode, referenceNode);\n}\nfunction removeChild(node, child) {\n  node.removeChild(child);\n}\nfunction appendChild(node, child) {\n  node.appendChild(child);\n}\nfunction parentNode(node) {\n  return node.parentNode;\n}\nfunction nextSibling(node) {\n  return node.nextSibling;\n}\nfunction tagName(node) {\n  return node.tagName;\n}\nfunction setTextContent(node, text) {\n  node.textContent = text;\n}\nfunction setStyleScope(node, scopeId) {\n  node.setAttribute(scopeId, '');\n}\nvar nodeOps = /*#__PURE__*/Object.freeze({\n  __proto__: null,\n  createElement: createElement,\n  createElementNS: createElementNS,\n  createTextNode: createTextNode,\n  createComment: createComment,\n  insertBefore: insertBefore,\n  removeChild: removeChild,\n  appendChild: appendChild,\n  parentNode: parentNode,\n  nextSibling: nextSibling,\n  tagName: tagName,\n  setTextContent: setTextContent,\n  setStyleScope: setStyleScope\n});\nvar ref = {\n  create: function (_, vnode) {\n    registerRef(vnode);\n  },\n  update: function (oldVnode, vnode) {\n    if (oldVnode.data.ref !== vnode.data.ref) {\n      registerRef(oldVnode, true);\n      registerRef(vnode);\n    }\n  },\n  destroy: function (vnode) {\n    registerRef(vnode, true);\n  }\n};\nfunction registerRef(vnode, isRemoval) {\n  var ref = vnode.data.ref;\n  if (!isDef(ref)) return;\n  var vm = vnode.context;\n  var refValue = vnode.componentInstance || vnode.elm;\n  var value = isRemoval ? null : refValue;\n  var $refsValue = isRemoval ? undefined : refValue;\n  if (isFunction(ref)) {\n    invokeWithErrorHandling(ref, vm, [value], vm, \"template ref function\");\n    return;\n  }\n  var isFor = vnode.data.refInFor;\n  var _isString = typeof ref === 'string' || typeof ref === 'number';\n  var _isRef = isRef(ref);\n  var refs = vm.$refs;\n  if (_isString || _isRef) {\n    if (isFor) {\n      var existing = _isString ? refs[ref] : ref.value;\n      if (isRemoval) {\n        isArray(existing) && remove$2(existing, refValue);\n      } else {\n        if (!isArray(existing)) {\n          if (_isString) {\n            refs[ref] = [refValue];\n            setSetupRef(vm, ref, refs[ref]);\n          } else {\n            ref.value = [refValue];\n          }\n        } else if (!existing.includes(refValue)) {\n          existing.push(refValue);\n        }\n      }\n    } else if (_isString) {\n      if (isRemoval && refs[ref] !== refValue) {\n        return;\n      }\n      refs[ref] = $refsValue;\n      setSetupRef(vm, ref, value);\n    } else if (_isRef) {\n      if (isRemoval && ref.value !== refValue) {\n        return;\n      }\n      ref.value = value;\n    } else if (true) {\n      warn(\"Invalid template ref type: \".concat(typeof ref));\n    }\n  }\n}\nfunction setSetupRef(_a, key, val) {\n  var _setupState = _a._setupState;\n  if (_setupState && hasOwn(_setupState, key)) {\n    if (isRef(_setupState[key])) {\n      _setupState[key].value = val;\n    } else {\n      _setupState[key] = val;\n    }\n  }\n}\n\n/**\n * Virtual DOM patching algorithm based on Snabbdom by\n * Simon Friis Vindum (@paldepind)\n * Licensed under the MIT License\n * https://github.com/paldepind/snabbdom/blob/master/LICENSE\n *\n * modified by Evan You (@yyx990803)\n *\n * Not type-checking this because this file is perf-critical and the cost\n * of making flow understand it is not worth it.\n */\nvar emptyNode = new VNode('', {}, []);\nvar hooks = ['create', 'activate', 'update', 'remove', 'destroy'];\nfunction sameVnode(a, b) {\n  return a.key === b.key && a.asyncFactory === b.asyncFactory && (a.tag === b.tag && a.isComment === b.isComment && isDef(a.data) === isDef(b.data) && sameInputType(a, b) || isTrue(a.isAsyncPlaceholder) && isUndef(b.asyncFactory.error));\n}\nfunction sameInputType(a, b) {\n  if (a.tag !== 'input') return true;\n  var i;\n  var typeA = isDef(i = a.data) && isDef(i = i.attrs) && i.type;\n  var typeB = isDef(i = b.data) && isDef(i = i.attrs) && i.type;\n  return typeA === typeB || isTextInputType(typeA) && isTextInputType(typeB);\n}\nfunction createKeyToOldIdx(children, beginIdx, endIdx) {\n  var i, key;\n  var map = {};\n  for (i = beginIdx; i <= endIdx; ++i) {\n    key = children[i].key;\n    if (isDef(key)) map[key] = i;\n  }\n  return map;\n}\nfunction createPatchFunction(backend) {\n  var i, j;\n  var cbs = {};\n  var modules = backend.modules,\n    nodeOps = backend.nodeOps;\n  for (i = 0; i < hooks.length; ++i) {\n    cbs[hooks[i]] = [];\n    for (j = 0; j < modules.length; ++j) {\n      if (isDef(modules[j][hooks[i]])) {\n        cbs[hooks[i]].push(modules[j][hooks[i]]);\n      }\n    }\n  }\n  function emptyNodeAt(elm) {\n    return new VNode(nodeOps.tagName(elm).toLowerCase(), {}, [], undefined, elm);\n  }\n  function createRmCb(childElm, listeners) {\n    function remove() {\n      if (--remove.listeners === 0) {\n        removeNode(childElm);\n      }\n    }\n    remove.listeners = listeners;\n    return remove;\n  }\n  function removeNode(el) {\n    var parent = nodeOps.parentNode(el);\n    // element may have already been removed due to v-html / v-text\n    if (isDef(parent)) {\n      nodeOps.removeChild(parent, el);\n    }\n  }\n  function isUnknownElement(vnode, inVPre) {\n    return !inVPre && !vnode.ns && !(config.ignoredElements.length && config.ignoredElements.some(function (ignore) {\n      return isRegExp(ignore) ? ignore.test(vnode.tag) : ignore === vnode.tag;\n    })) && config.isUnknownElement(vnode.tag);\n  }\n  var creatingElmInVPre = 0;\n  function createElm(vnode, insertedVnodeQueue, parentElm, refElm, nested, ownerArray, index) {\n    if (isDef(vnode.elm) && isDef(ownerArray)) {\n      // This vnode was used in a previous render!\n      // now it's used as a new node, overwriting its elm would cause\n      // potential patch errors down the road when it's used as an insertion\n      // reference node. Instead, we clone the node on-demand before creating\n      // associated DOM element for it.\n      vnode = ownerArray[index] = cloneVNode(vnode);\n    }\n    vnode.isRootInsert = !nested; // for transition enter check\n    if (createComponent(vnode, insertedVnodeQueue, parentElm, refElm)) {\n      return;\n    }\n    var data = vnode.data;\n    var children = vnode.children;\n    var tag = vnode.tag;\n    if (isDef(tag)) {\n      if (true) {\n        if (data && data.pre) {\n          creatingElmInVPre++;\n        }\n        if (isUnknownElement(vnode, creatingElmInVPre)) {\n          warn('Unknown custom element: <' + tag + '> - did you ' + 'register the component correctly? For recursive components, ' + 'make sure to provide the \"name\" option.', vnode.context);\n        }\n      }\n      vnode.elm = vnode.ns ? nodeOps.createElementNS(vnode.ns, tag) : nodeOps.createElement(tag, vnode);\n      setScope(vnode);\n      createChildren(vnode, children, insertedVnodeQueue);\n      if (isDef(data)) {\n        invokeCreateHooks(vnode, insertedVnodeQueue);\n      }\n      insert(parentElm, vnode.elm, refElm);\n      if ( true && data && data.pre) {\n        creatingElmInVPre--;\n      }\n    } else if (isTrue(vnode.isComment)) {\n      vnode.elm = nodeOps.createComment(vnode.text);\n      insert(parentElm, vnode.elm, refElm);\n    } else {\n      vnode.elm = nodeOps.createTextNode(vnode.text);\n      insert(parentElm, vnode.elm, refElm);\n    }\n  }\n  function createComponent(vnode, insertedVnodeQueue, parentElm, refElm) {\n    var i = vnode.data;\n    if (isDef(i)) {\n      var isReactivated = isDef(vnode.componentInstance) && i.keepAlive;\n      if (isDef(i = i.hook) && isDef(i = i.init)) {\n        i(vnode, false /* hydrating */);\n      }\n      // after calling the init hook, if the vnode is a child component\n      // it should've created a child instance and mounted it. the child\n      // component also has set the placeholder vnode's elm.\n      // in that case we can just return the element and be done.\n      if (isDef(vnode.componentInstance)) {\n        initComponent(vnode, insertedVnodeQueue);\n        insert(parentElm, vnode.elm, refElm);\n        if (isTrue(isReactivated)) {\n          reactivateComponent(vnode, insertedVnodeQueue, parentElm, refElm);\n        }\n        return true;\n      }\n    }\n  }\n  function initComponent(vnode, insertedVnodeQueue) {\n    if (isDef(vnode.data.pendingInsert)) {\n      insertedVnodeQueue.push.apply(insertedVnodeQueue, vnode.data.pendingInsert);\n      vnode.data.pendingInsert = null;\n    }\n    vnode.elm = vnode.componentInstance.$el;\n    if (isPatchable(vnode)) {\n      invokeCreateHooks(vnode, insertedVnodeQueue);\n      setScope(vnode);\n    } else {\n      // empty component root.\n      // skip all element-related modules except for ref (#3455)\n      registerRef(vnode);\n      // make sure to invoke the insert hook\n      insertedVnodeQueue.push(vnode);\n    }\n  }\n  function reactivateComponent(vnode, insertedVnodeQueue, parentElm, refElm) {\n    var i;\n    // hack for #4339: a reactivated component with inner transition\n    // does not trigger because the inner node's created hooks are not called\n    // again. It's not ideal to involve module-specific logic in here but\n    // there doesn't seem to be a better way to do it.\n    var innerNode = vnode;\n    while (innerNode.componentInstance) {\n      innerNode = innerNode.componentInstance._vnode;\n      if (isDef(i = innerNode.data) && isDef(i = i.transition)) {\n        for (i = 0; i < cbs.activate.length; ++i) {\n          cbs.activate[i](emptyNode, innerNode);\n        }\n        insertedVnodeQueue.push(innerNode);\n        break;\n      }\n    }\n    // unlike a newly created component,\n    // a reactivated keep-alive component doesn't insert itself\n    insert(parentElm, vnode.elm, refElm);\n  }\n  function insert(parent, elm, ref) {\n    if (isDef(parent)) {\n      if (isDef(ref)) {\n        if (nodeOps.parentNode(ref) === parent) {\n          nodeOps.insertBefore(parent, elm, ref);\n        }\n      } else {\n        nodeOps.appendChild(parent, elm);\n      }\n    }\n  }\n  function createChildren(vnode, children, insertedVnodeQueue) {\n    if (isArray(children)) {\n      if (true) {\n        checkDuplicateKeys(children);\n      }\n      for (var i_1 = 0; i_1 < children.length; ++i_1) {\n        createElm(children[i_1], insertedVnodeQueue, vnode.elm, null, true, children, i_1);\n      }\n    } else if (isPrimitive(vnode.text)) {\n      nodeOps.appendChild(vnode.elm, nodeOps.createTextNode(String(vnode.text)));\n    }\n  }\n  function isPatchable(vnode) {\n    while (vnode.componentInstance) {\n      vnode = vnode.componentInstance._vnode;\n    }\n    return isDef(vnode.tag);\n  }\n  function invokeCreateHooks(vnode, insertedVnodeQueue) {\n    for (var i_2 = 0; i_2 < cbs.create.length; ++i_2) {\n      cbs.create[i_2](emptyNode, vnode);\n    }\n    i = vnode.data.hook; // Reuse variable\n    if (isDef(i)) {\n      if (isDef(i.create)) i.create(emptyNode, vnode);\n      if (isDef(i.insert)) insertedVnodeQueue.push(vnode);\n    }\n  }\n  // set scope id attribute for scoped CSS.\n  // this is implemented as a special case to avoid the overhead\n  // of going through the normal attribute patching process.\n  function setScope(vnode) {\n    var i;\n    if (isDef(i = vnode.fnScopeId)) {\n      nodeOps.setStyleScope(vnode.elm, i);\n    } else {\n      var ancestor = vnode;\n      while (ancestor) {\n        if (isDef(i = ancestor.context) && isDef(i = i.$options._scopeId)) {\n          nodeOps.setStyleScope(vnode.elm, i);\n        }\n        ancestor = ancestor.parent;\n      }\n    }\n    // for slot content they should also get the scopeId from the host instance.\n    if (isDef(i = activeInstance) && i !== vnode.context && i !== vnode.fnContext && isDef(i = i.$options._scopeId)) {\n      nodeOps.setStyleScope(vnode.elm, i);\n    }\n  }\n  function addVnodes(parentElm, refElm, vnodes, startIdx, endIdx, insertedVnodeQueue) {\n    for (; startIdx <= endIdx; ++startIdx) {\n      createElm(vnodes[startIdx], insertedVnodeQueue, parentElm, refElm, false, vnodes, startIdx);\n    }\n  }\n  function invokeDestroyHook(vnode) {\n    var i, j;\n    var data = vnode.data;\n    if (isDef(data)) {\n      if (isDef(i = data.hook) && isDef(i = i.destroy)) i(vnode);\n      for (i = 0; i < cbs.destroy.length; ++i) cbs.destroy[i](vnode);\n    }\n    if (isDef(i = vnode.children)) {\n      for (j = 0; j < vnode.children.length; ++j) {\n        invokeDestroyHook(vnode.children[j]);\n      }\n    }\n  }\n  function removeVnodes(vnodes, startIdx, endIdx) {\n    for (; startIdx <= endIdx; ++startIdx) {\n      var ch = vnodes[startIdx];\n      if (isDef(ch)) {\n        if (isDef(ch.tag)) {\n          removeAndInvokeRemoveHook(ch);\n          invokeDestroyHook(ch);\n        } else {\n          // Text node\n          removeNode(ch.elm);\n        }\n      }\n    }\n  }\n  function removeAndInvokeRemoveHook(vnode, rm) {\n    if (isDef(rm) || isDef(vnode.data)) {\n      var i_3;\n      var listeners = cbs.remove.length + 1;\n      if (isDef(rm)) {\n        // we have a recursively passed down rm callback\n        // increase the listeners count\n        rm.listeners += listeners;\n      } else {\n        // directly removing\n        rm = createRmCb(vnode.elm, listeners);\n      }\n      // recursively invoke hooks on child component root node\n      if (isDef(i_3 = vnode.componentInstance) && isDef(i_3 = i_3._vnode) && isDef(i_3.data)) {\n        removeAndInvokeRemoveHook(i_3, rm);\n      }\n      for (i_3 = 0; i_3 < cbs.remove.length; ++i_3) {\n        cbs.remove[i_3](vnode, rm);\n      }\n      if (isDef(i_3 = vnode.data.hook) && isDef(i_3 = i_3.remove)) {\n        i_3(vnode, rm);\n      } else {\n        rm();\n      }\n    } else {\n      removeNode(vnode.elm);\n    }\n  }\n  function updateChildren(parentElm, oldCh, newCh, insertedVnodeQueue, removeOnly) {\n    var oldStartIdx = 0;\n    var newStartIdx = 0;\n    var oldEndIdx = oldCh.length - 1;\n    var oldStartVnode = oldCh[0];\n    var oldEndVnode = oldCh[oldEndIdx];\n    var newEndIdx = newCh.length - 1;\n    var newStartVnode = newCh[0];\n    var newEndVnode = newCh[newEndIdx];\n    var oldKeyToIdx, idxInOld, vnodeToMove, refElm;\n    // removeOnly is a special flag used only by <transition-group>\n    // to ensure removed elements stay in correct relative positions\n    // during leaving transitions\n    var canMove = !removeOnly;\n    if (true) {\n      checkDuplicateKeys(newCh);\n    }\n    while (oldStartIdx <= oldEndIdx && newStartIdx <= newEndIdx) {\n      if (isUndef(oldStartVnode)) {\n        oldStartVnode = oldCh[++oldStartIdx]; // Vnode has been moved left\n      } else if (isUndef(oldEndVnode)) {\n        oldEndVnode = oldCh[--oldEndIdx];\n      } else if (sameVnode(oldStartVnode, newStartVnode)) {\n        patchVnode(oldStartVnode, newStartVnode, insertedVnodeQueue, newCh, newStartIdx);\n        oldStartVnode = oldCh[++oldStartIdx];\n        newStartVnode = newCh[++newStartIdx];\n      } else if (sameVnode(oldEndVnode, newEndVnode)) {\n        patchVnode(oldEndVnode, newEndVnode, insertedVnodeQueue, newCh, newEndIdx);\n        oldEndVnode = oldCh[--oldEndIdx];\n        newEndVnode = newCh[--newEndIdx];\n      } else if (sameVnode(oldStartVnode, newEndVnode)) {\n        // Vnode moved right\n        patchVnode(oldStartVnode, newEndVnode, insertedVnodeQueue, newCh, newEndIdx);\n        canMove && nodeOps.insertBefore(parentElm, oldStartVnode.elm, nodeOps.nextSibling(oldEndVnode.elm));\n        oldStartVnode = oldCh[++oldStartIdx];\n        newEndVnode = newCh[--newEndIdx];\n      } else if (sameVnode(oldEndVnode, newStartVnode)) {\n        // Vnode moved left\n        patchVnode(oldEndVnode, newStartVnode, insertedVnodeQueue, newCh, newStartIdx);\n        canMove && nodeOps.insertBefore(parentElm, oldEndVnode.elm, oldStartVnode.elm);\n        oldEndVnode = oldCh[--oldEndIdx];\n        newStartVnode = newCh[++newStartIdx];\n      } else {\n        if (isUndef(oldKeyToIdx)) oldKeyToIdx = createKeyToOldIdx(oldCh, oldStartIdx, oldEndIdx);\n        idxInOld = isDef(newStartVnode.key) ? oldKeyToIdx[newStartVnode.key] : findIdxInOld(newStartVnode, oldCh, oldStartIdx, oldEndIdx);\n        if (isUndef(idxInOld)) {\n          // New element\n          createElm(newStartVnode, insertedVnodeQueue, parentElm, oldStartVnode.elm, false, newCh, newStartIdx);\n        } else {\n          vnodeToMove = oldCh[idxInOld];\n          if (sameVnode(vnodeToMove, newStartVnode)) {\n            patchVnode(vnodeToMove, newStartVnode, insertedVnodeQueue, newCh, newStartIdx);\n            oldCh[idxInOld] = undefined;\n            canMove && nodeOps.insertBefore(parentElm, vnodeToMove.elm, oldStartVnode.elm);\n          } else {\n            // same key but different element. treat as new element\n            createElm(newStartVnode, insertedVnodeQueue, parentElm, oldStartVnode.elm, false, newCh, newStartIdx);\n          }\n        }\n        newStartVnode = newCh[++newStartIdx];\n      }\n    }\n    if (oldStartIdx > oldEndIdx) {\n      refElm = isUndef(newCh[newEndIdx + 1]) ? null : newCh[newEndIdx + 1].elm;\n      addVnodes(parentElm, refElm, newCh, newStartIdx, newEndIdx, insertedVnodeQueue);\n    } else if (newStartIdx > newEndIdx) {\n      removeVnodes(oldCh, oldStartIdx, oldEndIdx);\n    }\n  }\n  function checkDuplicateKeys(children) {\n    var seenKeys = {};\n    for (var i_4 = 0; i_4 < children.length; i_4++) {\n      var vnode = children[i_4];\n      var key = vnode.key;\n      if (isDef(key)) {\n        if (seenKeys[key]) {\n          warn(\"Duplicate keys detected: '\".concat(key, \"'. This may cause an update error.\"), vnode.context);\n        } else {\n          seenKeys[key] = true;\n        }\n      }\n    }\n  }\n  function findIdxInOld(node, oldCh, start, end) {\n    for (var i_5 = start; i_5 < end; i_5++) {\n      var c = oldCh[i_5];\n      if (isDef(c) && sameVnode(node, c)) return i_5;\n    }\n  }\n  function patchVnode(oldVnode, vnode, insertedVnodeQueue, ownerArray, index, removeOnly) {\n    if (oldVnode === vnode) {\n      return;\n    }\n    if (isDef(vnode.elm) && isDef(ownerArray)) {\n      // clone reused vnode\n      vnode = ownerArray[index] = cloneVNode(vnode);\n    }\n    var elm = vnode.elm = oldVnode.elm;\n    if (isTrue(oldVnode.isAsyncPlaceholder)) {\n      if (isDef(vnode.asyncFactory.resolved)) {\n        hydrate(oldVnode.elm, vnode, insertedVnodeQueue);\n      } else {\n        vnode.isAsyncPlaceholder = true;\n      }\n      return;\n    }\n    // reuse element for static trees.\n    // note we only do this if the vnode is cloned -\n    // if the new node is not cloned it means the render functions have been\n    // reset by the hot-reload-api and we need to do a proper re-render.\n    if (isTrue(vnode.isStatic) && isTrue(oldVnode.isStatic) && vnode.key === oldVnode.key && (isTrue(vnode.isCloned) || isTrue(vnode.isOnce))) {\n      vnode.componentInstance = oldVnode.componentInstance;\n      return;\n    }\n    var i;\n    var data = vnode.data;\n    if (isDef(data) && isDef(i = data.hook) && isDef(i = i.prepatch)) {\n      i(oldVnode, vnode);\n    }\n    var oldCh = oldVnode.children;\n    var ch = vnode.children;\n    if (isDef(data) && isPatchable(vnode)) {\n      for (i = 0; i < cbs.update.length; ++i) cbs.update[i](oldVnode, vnode);\n      if (isDef(i = data.hook) && isDef(i = i.update)) i(oldVnode, vnode);\n    }\n    if (isUndef(vnode.text)) {\n      if (isDef(oldCh) && isDef(ch)) {\n        if (oldCh !== ch) updateChildren(elm, oldCh, ch, insertedVnodeQueue, removeOnly);\n      } else if (isDef(ch)) {\n        if (true) {\n          checkDuplicateKeys(ch);\n        }\n        if (isDef(oldVnode.text)) nodeOps.setTextContent(elm, '');\n        addVnodes(elm, null, ch, 0, ch.length - 1, insertedVnodeQueue);\n      } else if (isDef(oldCh)) {\n        removeVnodes(oldCh, 0, oldCh.length - 1);\n      } else if (isDef(oldVnode.text)) {\n        nodeOps.setTextContent(elm, '');\n      }\n    } else if (oldVnode.text !== vnode.text) {\n      nodeOps.setTextContent(elm, vnode.text);\n    }\n    if (isDef(data)) {\n      if (isDef(i = data.hook) && isDef(i = i.postpatch)) i(oldVnode, vnode);\n    }\n  }\n  function invokeInsertHook(vnode, queue, initial) {\n    // delay insert hooks for component root nodes, invoke them after the\n    // element is really inserted\n    if (isTrue(initial) && isDef(vnode.parent)) {\n      vnode.parent.data.pendingInsert = queue;\n    } else {\n      for (var i_6 = 0; i_6 < queue.length; ++i_6) {\n        queue[i_6].data.hook.insert(queue[i_6]);\n      }\n    }\n  }\n  var hydrationBailed = false;\n  // list of modules that can skip create hook during hydration because they\n  // are already rendered on the client or has no need for initialization\n  // Note: style is excluded because it relies on initial clone for future\n  // deep updates (#7063).\n  var isRenderedModule = makeMap('attrs,class,staticClass,staticStyle,key');\n  // Note: this is a browser-only function so we can assume elms are DOM nodes.\n  function hydrate(elm, vnode, insertedVnodeQueue, inVPre) {\n    var i;\n    var tag = vnode.tag,\n      data = vnode.data,\n      children = vnode.children;\n    inVPre = inVPre || data && data.pre;\n    vnode.elm = elm;\n    if (isTrue(vnode.isComment) && isDef(vnode.asyncFactory)) {\n      vnode.isAsyncPlaceholder = true;\n      return true;\n    }\n    // assert node match\n    if (true) {\n      if (!assertNodeMatch(elm, vnode, inVPre)) {\n        return false;\n      }\n    }\n    if (isDef(data)) {\n      if (isDef(i = data.hook) && isDef(i = i.init)) i(vnode, true /* hydrating */);\n      if (isDef(i = vnode.componentInstance)) {\n        // child component. it should have hydrated its own tree.\n        initComponent(vnode, insertedVnodeQueue);\n        return true;\n      }\n    }\n    if (isDef(tag)) {\n      if (isDef(children)) {\n        // empty element, allow client to pick up and populate children\n        if (!elm.hasChildNodes()) {\n          createChildren(vnode, children, insertedVnodeQueue);\n        } else {\n          // v-html and domProps: innerHTML\n          if (isDef(i = data) && isDef(i = i.domProps) && isDef(i = i.innerHTML)) {\n            if (i !== elm.innerHTML) {\n              /* istanbul ignore if */\n              if ( true && typeof console !== 'undefined' && !hydrationBailed) {\n                hydrationBailed = true;\n                console.warn('Parent: ', elm);\n                console.warn('server innerHTML: ', i);\n                console.warn('client innerHTML: ', elm.innerHTML);\n              }\n              return false;\n            }\n          } else {\n            // iterate and compare children lists\n            var childrenMatch = true;\n            var childNode = elm.firstChild;\n            for (var i_7 = 0; i_7 < children.length; i_7++) {\n              if (!childNode || !hydrate(childNode, children[i_7], insertedVnodeQueue, inVPre)) {\n                childrenMatch = false;\n                break;\n              }\n              childNode = childNode.nextSibling;\n            }\n            // if childNode is not null, it means the actual childNodes list is\n            // longer than the virtual children list.\n            if (!childrenMatch || childNode) {\n              /* istanbul ignore if */\n              if ( true && typeof console !== 'undefined' && !hydrationBailed) {\n                hydrationBailed = true;\n                console.warn('Parent: ', elm);\n                console.warn('Mismatching childNodes vs. VNodes: ', elm.childNodes, children);\n              }\n              return false;\n            }\n          }\n        }\n      }\n      if (isDef(data)) {\n        var fullInvoke = false;\n        for (var key in data) {\n          if (!isRenderedModule(key)) {\n            fullInvoke = true;\n            invokeCreateHooks(vnode, insertedVnodeQueue);\n            break;\n          }\n        }\n        if (!fullInvoke && data['class']) {\n          // ensure collecting deps for deep class bindings for future updates\n          traverse(data['class']);\n        }\n      }\n    } else if (elm.data !== vnode.text) {\n      elm.data = vnode.text;\n    }\n    return true;\n  }\n  function assertNodeMatch(node, vnode, inVPre) {\n    if (isDef(vnode.tag)) {\n      return vnode.tag.indexOf('vue-component') === 0 || !isUnknownElement(vnode, inVPre) && vnode.tag.toLowerCase() === (node.tagName && node.tagName.toLowerCase());\n    } else {\n      return node.nodeType === (vnode.isComment ? 8 : 3);\n    }\n  }\n  return function patch(oldVnode, vnode, hydrating, removeOnly) {\n    if (isUndef(vnode)) {\n      if (isDef(oldVnode)) invokeDestroyHook(oldVnode);\n      return;\n    }\n    var isInitialPatch = false;\n    var insertedVnodeQueue = [];\n    if (isUndef(oldVnode)) {\n      // empty mount (likely as component), create new root element\n      isInitialPatch = true;\n      createElm(vnode, insertedVnodeQueue);\n    } else {\n      var isRealElement = isDef(oldVnode.nodeType);\n      if (!isRealElement && sameVnode(oldVnode, vnode)) {\n        // patch existing root node\n        patchVnode(oldVnode, vnode, insertedVnodeQueue, null, null, removeOnly);\n      } else {\n        if (isRealElement) {\n          // mounting to a real element\n          // check if this is server-rendered content and if we can perform\n          // a successful hydration.\n          if (oldVnode.nodeType === 1 && oldVnode.hasAttribute(SSR_ATTR)) {\n            oldVnode.removeAttribute(SSR_ATTR);\n            hydrating = true;\n          }\n          if (isTrue(hydrating)) {\n            if (hydrate(oldVnode, vnode, insertedVnodeQueue)) {\n              invokeInsertHook(vnode, insertedVnodeQueue, true);\n              return oldVnode;\n            } else if (true) {\n              warn('The client-side rendered virtual DOM tree is not matching ' + 'server-rendered content. This is likely caused by incorrect ' + 'HTML markup, for example nesting block-level elements inside ' + '<p>, or missing <tbody>. Bailing hydration and performing ' + 'full client-side render.');\n            }\n          }\n          // either not server-rendered, or hydration failed.\n          // create an empty node and replace it\n          oldVnode = emptyNodeAt(oldVnode);\n        }\n        // replacing existing element\n        var oldElm = oldVnode.elm;\n        var parentElm = nodeOps.parentNode(oldElm);\n        // create new node\n        createElm(vnode, insertedVnodeQueue,\n        // extremely rare edge case: do not insert if old element is in a\n        // leaving transition. Only happens when combining transition +\n        // keep-alive + HOCs. (#4590)\n        oldElm._leaveCb ? null : parentElm, nodeOps.nextSibling(oldElm));\n        // update parent placeholder node element, recursively\n        if (isDef(vnode.parent)) {\n          var ancestor = vnode.parent;\n          var patchable = isPatchable(vnode);\n          while (ancestor) {\n            for (var i_8 = 0; i_8 < cbs.destroy.length; ++i_8) {\n              cbs.destroy[i_8](ancestor);\n            }\n            ancestor.elm = vnode.elm;\n            if (patchable) {\n              for (var i_9 = 0; i_9 < cbs.create.length; ++i_9) {\n                cbs.create[i_9](emptyNode, ancestor);\n              }\n              // #6513\n              // invoke insert hooks that may have been merged by create hooks.\n              // e.g. for directives that uses the \"inserted\" hook.\n              var insert_1 = ancestor.data.hook.insert;\n              if (insert_1.merged) {\n                // start at index 1 to avoid re-invoking component mounted hook\n                for (var i_10 = 1; i_10 < insert_1.fns.length; i_10++) {\n                  insert_1.fns[i_10]();\n                }\n              }\n            } else {\n              registerRef(ancestor);\n            }\n            ancestor = ancestor.parent;\n          }\n        }\n        // destroy old node\n        if (isDef(parentElm)) {\n          removeVnodes([oldVnode], 0, 0);\n        } else if (isDef(oldVnode.tag)) {\n          invokeDestroyHook(oldVnode);\n        }\n      }\n    }\n    invokeInsertHook(vnode, insertedVnodeQueue, isInitialPatch);\n    return vnode.elm;\n  };\n}\nvar directives = {\n  create: updateDirectives,\n  update: updateDirectives,\n  destroy: function unbindDirectives(vnode) {\n    // @ts-expect-error emptyNode is not VNodeWithData\n    updateDirectives(vnode, emptyNode);\n  }\n};\nfunction updateDirectives(oldVnode, vnode) {\n  if (oldVnode.data.directives || vnode.data.directives) {\n    _update(oldVnode, vnode);\n  }\n}\nfunction _update(oldVnode, vnode) {\n  var isCreate = oldVnode === emptyNode;\n  var isDestroy = vnode === emptyNode;\n  var oldDirs = normalizeDirectives(oldVnode.data.directives, oldVnode.context);\n  var newDirs = normalizeDirectives(vnode.data.directives, vnode.context);\n  var dirsWithInsert = [];\n  var dirsWithPostpatch = [];\n  var key, oldDir, dir;\n  for (key in newDirs) {\n    oldDir = oldDirs[key];\n    dir = newDirs[key];\n    if (!oldDir) {\n      // new directive, bind\n      callHook(dir, 'bind', vnode, oldVnode);\n      if (dir.def && dir.def.inserted) {\n        dirsWithInsert.push(dir);\n      }\n    } else {\n      // existing directive, update\n      dir.oldValue = oldDir.value;\n      dir.oldArg = oldDir.arg;\n      callHook(dir, 'update', vnode, oldVnode);\n      if (dir.def && dir.def.componentUpdated) {\n        dirsWithPostpatch.push(dir);\n      }\n    }\n  }\n  if (dirsWithInsert.length) {\n    var callInsert = function () {\n      for (var i = 0; i < dirsWithInsert.length; i++) {\n        callHook(dirsWithInsert[i], 'inserted', vnode, oldVnode);\n      }\n    };\n    if (isCreate) {\n      mergeVNodeHook(vnode, 'insert', callInsert);\n    } else {\n      callInsert();\n    }\n  }\n  if (dirsWithPostpatch.length) {\n    mergeVNodeHook(vnode, 'postpatch', function () {\n      for (var i = 0; i < dirsWithPostpatch.length; i++) {\n        callHook(dirsWithPostpatch[i], 'componentUpdated', vnode, oldVnode);\n      }\n    });\n  }\n  if (!isCreate) {\n    for (key in oldDirs) {\n      if (!newDirs[key]) {\n        // no longer present, unbind\n        callHook(oldDirs[key], 'unbind', oldVnode, oldVnode, isDestroy);\n      }\n    }\n  }\n}\nvar emptyModifiers = Object.create(null);\nfunction normalizeDirectives(dirs, vm) {\n  var res = Object.create(null);\n  if (!dirs) {\n    // $flow-disable-line\n    return res;\n  }\n  var i, dir;\n  for (i = 0; i < dirs.length; i++) {\n    dir = dirs[i];\n    if (!dir.modifiers) {\n      // $flow-disable-line\n      dir.modifiers = emptyModifiers;\n    }\n    res[getRawDirName(dir)] = dir;\n    if (vm._setupState && vm._setupState.__sfc) {\n      var setupDef = dir.def || resolveAsset(vm, '_setupState', 'v-' + dir.name);\n      if (typeof setupDef === 'function') {\n        dir.def = {\n          bind: setupDef,\n          update: setupDef\n        };\n      } else {\n        dir.def = setupDef;\n      }\n    }\n    dir.def = dir.def || resolveAsset(vm.$options, 'directives', dir.name, true);\n  }\n  // $flow-disable-line\n  return res;\n}\nfunction getRawDirName(dir) {\n  return dir.rawName || \"\".concat(dir.name, \".\").concat(Object.keys(dir.modifiers || {}).join('.'));\n}\nfunction callHook(dir, hook, vnode, oldVnode, isDestroy) {\n  var fn = dir.def && dir.def[hook];\n  if (fn) {\n    try {\n      fn(vnode.elm, dir, vnode, oldVnode, isDestroy);\n    } catch (e) {\n      handleError(e, vnode.context, \"directive \".concat(dir.name, \" \").concat(hook, \" hook\"));\n    }\n  }\n}\nvar baseModules = [ref, directives];\nfunction updateAttrs(oldVnode, vnode) {\n  var opts = vnode.componentOptions;\n  if (isDef(opts) && opts.Ctor.options.inheritAttrs === false) {\n    return;\n  }\n  if (isUndef(oldVnode.data.attrs) && isUndef(vnode.data.attrs)) {\n    return;\n  }\n  var key, cur, old;\n  var elm = vnode.elm;\n  var oldAttrs = oldVnode.data.attrs || {};\n  var attrs = vnode.data.attrs || {};\n  // clone observed objects, as the user probably wants to mutate it\n  if (isDef(attrs.__ob__) || isTrue(attrs._v_attr_proxy)) {\n    attrs = vnode.data.attrs = extend({}, attrs);\n  }\n  for (key in attrs) {\n    cur = attrs[key];\n    old = oldAttrs[key];\n    if (old !== cur) {\n      setAttr(elm, key, cur, vnode.data.pre);\n    }\n  }\n  // #4391: in IE9, setting type can reset value for input[type=radio]\n  // #6666: IE/Edge forces progress value down to 1 before setting a max\n  /* istanbul ignore if */\n  if ((isIE || isEdge) && attrs.value !== oldAttrs.value) {\n    setAttr(elm, 'value', attrs.value);\n  }\n  for (key in oldAttrs) {\n    if (isUndef(attrs[key])) {\n      if (isXlink(key)) {\n        elm.removeAttributeNS(xlinkNS, getXlinkProp(key));\n      } else if (!isEnumeratedAttr(key)) {\n        elm.removeAttribute(key);\n      }\n    }\n  }\n}\nfunction setAttr(el, key, value, isInPre) {\n  if (isInPre || el.tagName.indexOf('-') > -1) {\n    baseSetAttr(el, key, value);\n  } else if (isBooleanAttr(key)) {\n    // set attribute for blank value\n    // e.g. <option disabled>Select one</option>\n    if (isFalsyAttrValue(value)) {\n      el.removeAttribute(key);\n    } else {\n      // technically allowfullscreen is a boolean attribute for <iframe>,\n      // but Flash expects a value of \"true\" when used on <embed> tag\n      value = key === 'allowfullscreen' && el.tagName === 'EMBED' ? 'true' : key;\n      el.setAttribute(key, value);\n    }\n  } else if (isEnumeratedAttr(key)) {\n    el.setAttribute(key, convertEnumeratedValue(key, value));\n  } else if (isXlink(key)) {\n    if (isFalsyAttrValue(value)) {\n      el.removeAttributeNS(xlinkNS, getXlinkProp(key));\n    } else {\n      el.setAttributeNS(xlinkNS, key, value);\n    }\n  } else {\n    baseSetAttr(el, key, value);\n  }\n}\nfunction baseSetAttr(el, key, value) {\n  if (isFalsyAttrValue(value)) {\n    el.removeAttribute(key);\n  } else {\n    // #7138: IE10 & 11 fires input event when setting placeholder on\n    // <textarea>... block the first input event and remove the blocker\n    // immediately.\n    /* istanbul ignore if */\n    if (isIE && !isIE9 && el.tagName === 'TEXTAREA' && key === 'placeholder' && value !== '' && !el.__ieph) {\n      var blocker_1 = function (e) {\n        e.stopImmediatePropagation();\n        el.removeEventListener('input', blocker_1);\n      };\n      el.addEventListener('input', blocker_1);\n      // $flow-disable-line\n      el.__ieph = true; /* IE placeholder patched */\n    }\n\n    el.setAttribute(key, value);\n  }\n}\nvar attrs = {\n  create: updateAttrs,\n  update: updateAttrs\n};\nfunction updateClass(oldVnode, vnode) {\n  var el = vnode.elm;\n  var data = vnode.data;\n  var oldData = oldVnode.data;\n  if (isUndef(data.staticClass) && isUndef(data.class) && (isUndef(oldData) || isUndef(oldData.staticClass) && isUndef(oldData.class))) {\n    return;\n  }\n  var cls = genClassForVnode(vnode);\n  // handle transition classes\n  var transitionClass = el._transitionClasses;\n  if (isDef(transitionClass)) {\n    cls = concat(cls, stringifyClass(transitionClass));\n  }\n  // set the class\n  if (cls !== el._prevClass) {\n    el.setAttribute('class', cls);\n    el._prevClass = cls;\n  }\n}\nvar klass = {\n  create: updateClass,\n  update: updateClass\n};\n\n// in some cases, the event used has to be determined at runtime\n// so we used some reserved tokens during compile.\nvar RANGE_TOKEN = '__r';\nvar CHECKBOX_RADIO_TOKEN = '__c';\n\n// normalize v-model event tokens that can only be determined at runtime.\n// it's important to place the event as the first in the array because\n// the whole point is ensuring the v-model callback gets called before\n// user-attached handlers.\nfunction normalizeEvents(on) {\n  /* istanbul ignore if */\n  if (isDef(on[RANGE_TOKEN])) {\n    // IE input[type=range] only supports `change` event\n    var event_1 = isIE ? 'change' : 'input';\n    on[event_1] = [].concat(on[RANGE_TOKEN], on[event_1] || []);\n    delete on[RANGE_TOKEN];\n  }\n  // This was originally intended to fix #4521 but no longer necessary\n  // after 2.5. Keeping it for backwards compat with generated code from < 2.4\n  /* istanbul ignore if */\n  if (isDef(on[CHECKBOX_RADIO_TOKEN])) {\n    on.change = [].concat(on[CHECKBOX_RADIO_TOKEN], on.change || []);\n    delete on[CHECKBOX_RADIO_TOKEN];\n  }\n}\nvar target;\nfunction createOnceHandler(event, handler, capture) {\n  var _target = target; // save current target element in closure\n  return function onceHandler() {\n    var res = handler.apply(null, arguments);\n    if (res !== null) {\n      remove(event, onceHandler, capture, _target);\n    }\n  };\n}\n// #9446: Firefox <= 53 (in particular, ESR 52) has incorrect Event.timeStamp\n// implementation and does not fire microtasks in between event propagation, so\n// safe to exclude.\nvar useMicrotaskFix = isUsingMicroTask && !(isFF && Number(isFF[1]) <= 53);\nfunction add(name, handler, capture, passive) {\n  // async edge case #6566: inner click event triggers patch, event handler\n  // attached to outer element during patch, and triggered again. This\n  // happens because browsers fire microtask ticks between event propagation.\n  // the solution is simple: we save the timestamp when a handler is attached,\n  // and the handler would only fire if the event passed to it was fired\n  // AFTER it was attached.\n  if (useMicrotaskFix) {\n    var attachedTimestamp_1 = currentFlushTimestamp;\n    var original_1 = handler;\n    //@ts-expect-error\n    handler = original_1._wrapper = function (e) {\n      if (\n      // no bubbling, should always fire.\n      // this is just a safety net in case event.timeStamp is unreliable in\n      // certain weird environments...\n      e.target === e.currentTarget ||\n      // event is fired after handler attachment\n      e.timeStamp >= attachedTimestamp_1 ||\n      // bail for environments that have buggy event.timeStamp implementations\n      // #9462 iOS 9 bug: event.timeStamp is 0 after history.pushState\n      // #9681 QtWebEngine event.timeStamp is negative value\n      e.timeStamp <= 0 ||\n      // #9448 bail if event is fired in another document in a multi-page\n      // electron/nw.js app, since event.timeStamp will be using a different\n      // starting reference\n      e.target.ownerDocument !== document) {\n        return original_1.apply(this, arguments);\n      }\n    };\n  }\n  target.addEventListener(name, handler, supportsPassive ? {\n    capture: capture,\n    passive: passive\n  } : capture);\n}\nfunction remove(name, handler, capture, _target) {\n  (_target || target).removeEventListener(name,\n  //@ts-expect-error\n  handler._wrapper || handler, capture);\n}\nfunction updateDOMListeners(oldVnode, vnode) {\n  if (isUndef(oldVnode.data.on) && isUndef(vnode.data.on)) {\n    return;\n  }\n  var on = vnode.data.on || {};\n  var oldOn = oldVnode.data.on || {};\n  // vnode is empty when removing all listeners,\n  // and use old vnode dom element\n  target = vnode.elm || oldVnode.elm;\n  normalizeEvents(on);\n  updateListeners(on, oldOn, add, remove, createOnceHandler, vnode.context);\n  target = undefined;\n}\nvar events = {\n  create: updateDOMListeners,\n  update: updateDOMListeners,\n  // @ts-expect-error emptyNode has actually data\n  destroy: function (vnode) {\n    return updateDOMListeners(vnode, emptyNode);\n  }\n};\nvar svgContainer;\nfunction updateDOMProps(oldVnode, vnode) {\n  if (isUndef(oldVnode.data.domProps) && isUndef(vnode.data.domProps)) {\n    return;\n  }\n  var key, cur;\n  var elm = vnode.elm;\n  var oldProps = oldVnode.data.domProps || {};\n  var props = vnode.data.domProps || {};\n  // clone observed objects, as the user probably wants to mutate it\n  if (isDef(props.__ob__) || isTrue(props._v_attr_proxy)) {\n    props = vnode.data.domProps = extend({}, props);\n  }\n  for (key in oldProps) {\n    if (!(key in props)) {\n      elm[key] = '';\n    }\n  }\n  for (key in props) {\n    cur = props[key];\n    // ignore children if the node has textContent or innerHTML,\n    // as these will throw away existing DOM nodes and cause removal errors\n    // on subsequent patches (#3360)\n    if (key === 'textContent' || key === 'innerHTML') {\n      if (vnode.children) vnode.children.length = 0;\n      if (cur === oldProps[key]) continue;\n      // #6601 work around Chrome version <= 55 bug where single textNode\n      // replaced by innerHTML/textContent retains its parentNode property\n      if (elm.childNodes.length === 1) {\n        elm.removeChild(elm.childNodes[0]);\n      }\n    }\n    if (key === 'value' && elm.tagName !== 'PROGRESS') {\n      // store value as _value as well since\n      // non-string values will be stringified\n      elm._value = cur;\n      // avoid resetting cursor position when value is the same\n      var strCur = isUndef(cur) ? '' : String(cur);\n      if (shouldUpdateValue(elm, strCur)) {\n        elm.value = strCur;\n      }\n    } else if (key === 'innerHTML' && isSVG(elm.tagName) && isUndef(elm.innerHTML)) {\n      // IE doesn't support innerHTML for SVG elements\n      svgContainer = svgContainer || document.createElement('div');\n      svgContainer.innerHTML = \"<svg>\".concat(cur, \"</svg>\");\n      var svg = svgContainer.firstChild;\n      while (elm.firstChild) {\n        elm.removeChild(elm.firstChild);\n      }\n      while (svg.firstChild) {\n        elm.appendChild(svg.firstChild);\n      }\n    } else if (\n    // skip the update if old and new VDOM state is the same.\n    // `value` is handled separately because the DOM value may be temporarily\n    // out of sync with VDOM state due to focus, composition and modifiers.\n    // This  #4521 by skipping the unnecessary `checked` update.\n    cur !== oldProps[key]) {\n      // some property updates can throw\n      // e.g. `value` on <progress> w/ non-finite value\n      try {\n        elm[key] = cur;\n      } catch (e) {}\n    }\n  }\n}\nfunction shouldUpdateValue(elm, checkVal) {\n  return (\n    //@ts-expect-error\n    !elm.composing && (elm.tagName === 'OPTION' || isNotInFocusAndDirty(elm, checkVal) || isDirtyWithModifiers(elm, checkVal))\n  );\n}\nfunction isNotInFocusAndDirty(elm, checkVal) {\n  // return true when textbox (.number and .trim) loses focus and its value is\n  // not equal to the updated value\n  var notInFocus = true;\n  // #6157\n  // work around IE bug when accessing document.activeElement in an iframe\n  try {\n    notInFocus = document.activeElement !== elm;\n  } catch (e) {}\n  return notInFocus && elm.value !== checkVal;\n}\nfunction isDirtyWithModifiers(elm, newVal) {\n  var value = elm.value;\n  var modifiers = elm._vModifiers; // injected by v-model runtime\n  if (isDef(modifiers)) {\n    if (modifiers.number) {\n      return toNumber(value) !== toNumber(newVal);\n    }\n    if (modifiers.trim) {\n      return value.trim() !== newVal.trim();\n    }\n  }\n  return value !== newVal;\n}\nvar domProps = {\n  create: updateDOMProps,\n  update: updateDOMProps\n};\nvar parseStyleText = cached(function (cssText) {\n  var res = {};\n  var listDelimiter = /;(?![^(]*\\))/g;\n  var propertyDelimiter = /:(.+)/;\n  cssText.split(listDelimiter).forEach(function (item) {\n    if (item) {\n      var tmp = item.split(propertyDelimiter);\n      tmp.length > 1 && (res[tmp[0].trim()] = tmp[1].trim());\n    }\n  });\n  return res;\n});\n// merge static and dynamic style data on the same vnode\nfunction normalizeStyleData(data) {\n  var style = normalizeStyleBinding(data.style);\n  // static style is pre-processed into an object during compilation\n  // and is always a fresh object, so it's safe to merge into it\n  return data.staticStyle ? extend(data.staticStyle, style) : style;\n}\n// normalize possible array / string values into Object\nfunction normalizeStyleBinding(bindingStyle) {\n  if (Array.isArray(bindingStyle)) {\n    return toObject(bindingStyle);\n  }\n  if (typeof bindingStyle === 'string') {\n    return parseStyleText(bindingStyle);\n  }\n  return bindingStyle;\n}\n/**\n * parent component style should be after child's\n * so that parent component's style could override it\n */\nfunction getStyle(vnode, checkChild) {\n  var res = {};\n  var styleData;\n  if (checkChild) {\n    var childNode = vnode;\n    while (childNode.componentInstance) {\n      childNode = childNode.componentInstance._vnode;\n      if (childNode && childNode.data && (styleData = normalizeStyleData(childNode.data))) {\n        extend(res, styleData);\n      }\n    }\n  }\n  if (styleData = normalizeStyleData(vnode.data)) {\n    extend(res, styleData);\n  }\n  var parentNode = vnode;\n  // @ts-expect-error parentNode.parent not VNodeWithData\n  while (parentNode = parentNode.parent) {\n    if (parentNode.data && (styleData = normalizeStyleData(parentNode.data))) {\n      extend(res, styleData);\n    }\n  }\n  return res;\n}\nvar cssVarRE = /^--/;\nvar importantRE = /\\s*!important$/;\nvar setProp = function (el, name, val) {\n  /* istanbul ignore if */\n  if (cssVarRE.test(name)) {\n    el.style.setProperty(name, val);\n  } else if (importantRE.test(val)) {\n    el.style.setProperty(hyphenate(name), val.replace(importantRE, ''), 'important');\n  } else {\n    var normalizedName = normalize(name);\n    if (Array.isArray(val)) {\n      // Support values array created by autoprefixer, e.g.\n      // {display: [\"-webkit-box\", \"-ms-flexbox\", \"flex\"]}\n      // Set them one by one, and the browser will only set those it can recognize\n      for (var i = 0, len = val.length; i < len; i++) {\n        el.style[normalizedName] = val[i];\n      }\n    } else {\n      el.style[normalizedName] = val;\n    }\n  }\n};\nvar vendorNames = ['Webkit', 'Moz', 'ms'];\nvar emptyStyle;\nvar normalize = cached(function (prop) {\n  emptyStyle = emptyStyle || document.createElement('div').style;\n  prop = camelize(prop);\n  if (prop !== 'filter' && prop in emptyStyle) {\n    return prop;\n  }\n  var capName = prop.charAt(0).toUpperCase() + prop.slice(1);\n  for (var i = 0; i < vendorNames.length; i++) {\n    var name_1 = vendorNames[i] + capName;\n    if (name_1 in emptyStyle) {\n      return name_1;\n    }\n  }\n});\nfunction updateStyle(oldVnode, vnode) {\n  var data = vnode.data;\n  var oldData = oldVnode.data;\n  if (isUndef(data.staticStyle) && isUndef(data.style) && isUndef(oldData.staticStyle) && isUndef(oldData.style)) {\n    return;\n  }\n  var cur, name;\n  var el = vnode.elm;\n  var oldStaticStyle = oldData.staticStyle;\n  var oldStyleBinding = oldData.normalizedStyle || oldData.style || {};\n  // if static style exists, stylebinding already merged into it when doing normalizeStyleData\n  var oldStyle = oldStaticStyle || oldStyleBinding;\n  var style = normalizeStyleBinding(vnode.data.style) || {};\n  // store normalized style under a different key for next diff\n  // make sure to clone it if it's reactive, since the user likely wants\n  // to mutate it.\n  vnode.data.normalizedStyle = isDef(style.__ob__) ? extend({}, style) : style;\n  var newStyle = getStyle(vnode, true);\n  for (name in oldStyle) {\n    if (isUndef(newStyle[name])) {\n      setProp(el, name, '');\n    }\n  }\n  for (name in newStyle) {\n    cur = newStyle[name];\n    if (cur !== oldStyle[name]) {\n      // ie9 setting to null has no effect, must use empty string\n      setProp(el, name, cur == null ? '' : cur);\n    }\n  }\n}\nvar style = {\n  create: updateStyle,\n  update: updateStyle\n};\nvar whitespaceRE = /\\s+/;\n/**\n * Add class with compatibility for SVG since classList is not supported on\n * SVG elements in IE\n */\nfunction addClass(el, cls) {\n  /* istanbul ignore if */\n  if (!cls || !(cls = cls.trim())) {\n    return;\n  }\n  /* istanbul ignore else */\n  if (el.classList) {\n    if (cls.indexOf(' ') > -1) {\n      cls.split(whitespaceRE).forEach(function (c) {\n        return el.classList.add(c);\n      });\n    } else {\n      el.classList.add(cls);\n    }\n  } else {\n    var cur = \" \".concat(el.getAttribute('class') || '', \" \");\n    if (cur.indexOf(' ' + cls + ' ') < 0) {\n      el.setAttribute('class', (cur + cls).trim());\n    }\n  }\n}\n/**\n * Remove class with compatibility for SVG since classList is not supported on\n * SVG elements in IE\n */\nfunction removeClass(el, cls) {\n  /* istanbul ignore if */\n  if (!cls || !(cls = cls.trim())) {\n    return;\n  }\n  /* istanbul ignore else */\n  if (el.classList) {\n    if (cls.indexOf(' ') > -1) {\n      cls.split(whitespaceRE).forEach(function (c) {\n        return el.classList.remove(c);\n      });\n    } else {\n      el.classList.remove(cls);\n    }\n    if (!el.classList.length) {\n      el.removeAttribute('class');\n    }\n  } else {\n    var cur = \" \".concat(el.getAttribute('class') || '', \" \");\n    var tar = ' ' + cls + ' ';\n    while (cur.indexOf(tar) >= 0) {\n      cur = cur.replace(tar, ' ');\n    }\n    cur = cur.trim();\n    if (cur) {\n      el.setAttribute('class', cur);\n    } else {\n      el.removeAttribute('class');\n    }\n  }\n}\nfunction resolveTransition(def) {\n  if (!def) {\n    return;\n  }\n  /* istanbul ignore else */\n  if (typeof def === 'object') {\n    var res = {};\n    if (def.css !== false) {\n      extend(res, autoCssTransition(def.name || 'v'));\n    }\n    extend(res, def);\n    return res;\n  } else if (typeof def === 'string') {\n    return autoCssTransition(def);\n  }\n}\nvar autoCssTransition = cached(function (name) {\n  return {\n    enterClass: \"\".concat(name, \"-enter\"),\n    enterToClass: \"\".concat(name, \"-enter-to\"),\n    enterActiveClass: \"\".concat(name, \"-enter-active\"),\n    leaveClass: \"\".concat(name, \"-leave\"),\n    leaveToClass: \"\".concat(name, \"-leave-to\"),\n    leaveActiveClass: \"\".concat(name, \"-leave-active\")\n  };\n});\nvar hasTransition = inBrowser && !isIE9;\nvar TRANSITION = 'transition';\nvar ANIMATION = 'animation';\n// Transition property/event sniffing\nvar transitionProp = 'transition';\nvar transitionEndEvent = 'transitionend';\nvar animationProp = 'animation';\nvar animationEndEvent = 'animationend';\nif (hasTransition) {\n  /* istanbul ignore if */\n  if (window.ontransitionend === undefined && window.onwebkittransitionend !== undefined) {\n    transitionProp = 'WebkitTransition';\n    transitionEndEvent = 'webkitTransitionEnd';\n  }\n  if (window.onanimationend === undefined && window.onwebkitanimationend !== undefined) {\n    animationProp = 'WebkitAnimation';\n    animationEndEvent = 'webkitAnimationEnd';\n  }\n}\n// binding to window is necessary to make hot reload work in IE in strict mode\nvar raf = inBrowser ? window.requestAnimationFrame ? window.requestAnimationFrame.bind(window) : setTimeout : /* istanbul ignore next */function ( /* istanbul ignore next */fn) {\n  return fn();\n};\nfunction nextFrame(fn) {\n  raf(function () {\n    // @ts-expect-error\n    raf(fn);\n  });\n}\nfunction addTransitionClass(el, cls) {\n  var transitionClasses = el._transitionClasses || (el._transitionClasses = []);\n  if (transitionClasses.indexOf(cls) < 0) {\n    transitionClasses.push(cls);\n    addClass(el, cls);\n  }\n}\nfunction removeTransitionClass(el, cls) {\n  if (el._transitionClasses) {\n    remove$2(el._transitionClasses, cls);\n  }\n  removeClass(el, cls);\n}\nfunction whenTransitionEnds(el, expectedType, cb) {\n  var _a = getTransitionInfo(el, expectedType),\n    type = _a.type,\n    timeout = _a.timeout,\n    propCount = _a.propCount;\n  if (!type) return cb();\n  var event = type === TRANSITION ? transitionEndEvent : animationEndEvent;\n  var ended = 0;\n  var end = function () {\n    el.removeEventListener(event, onEnd);\n    cb();\n  };\n  var onEnd = function (e) {\n    if (e.target === el) {\n      if (++ended >= propCount) {\n        end();\n      }\n    }\n  };\n  setTimeout(function () {\n    if (ended < propCount) {\n      end();\n    }\n  }, timeout + 1);\n  el.addEventListener(event, onEnd);\n}\nvar transformRE = /\\b(transform|all)(,|$)/;\nfunction getTransitionInfo(el, expectedType) {\n  var styles = window.getComputedStyle(el);\n  // JSDOM may return undefined for transition properties\n  var transitionDelays = (styles[transitionProp + 'Delay'] || '').split(', ');\n  var transitionDurations = (styles[transitionProp + 'Duration'] || '').split(', ');\n  var transitionTimeout = getTimeout(transitionDelays, transitionDurations);\n  var animationDelays = (styles[animationProp + 'Delay'] || '').split(', ');\n  var animationDurations = (styles[animationProp + 'Duration'] || '').split(', ');\n  var animationTimeout = getTimeout(animationDelays, animationDurations);\n  var type;\n  var timeout = 0;\n  var propCount = 0;\n  /* istanbul ignore if */\n  if (expectedType === TRANSITION) {\n    if (transitionTimeout > 0) {\n      type = TRANSITION;\n      timeout = transitionTimeout;\n      propCount = transitionDurations.length;\n    }\n  } else if (expectedType === ANIMATION) {\n    if (animationTimeout > 0) {\n      type = ANIMATION;\n      timeout = animationTimeout;\n      propCount = animationDurations.length;\n    }\n  } else {\n    timeout = Math.max(transitionTimeout, animationTimeout);\n    type = timeout > 0 ? transitionTimeout > animationTimeout ? TRANSITION : ANIMATION : null;\n    propCount = type ? type === TRANSITION ? transitionDurations.length : animationDurations.length : 0;\n  }\n  var hasTransform = type === TRANSITION && transformRE.test(styles[transitionProp + 'Property']);\n  return {\n    type: type,\n    timeout: timeout,\n    propCount: propCount,\n    hasTransform: hasTransform\n  };\n}\nfunction getTimeout(delays, durations) {\n  /* istanbul ignore next */\n  while (delays.length < durations.length) {\n    delays = delays.concat(delays);\n  }\n  return Math.max.apply(null, durations.map(function (d, i) {\n    return toMs(d) + toMs(delays[i]);\n  }));\n}\n// Old versions of Chromium (below 61.0.3163.100) formats floating pointer numbers\n// in a locale-dependent way, using a comma instead of a dot.\n// If comma is not replaced with a dot, the input will be rounded down (i.e. acting\n// as a floor function) causing unexpected behaviors\nfunction toMs(s) {\n  return Number(s.slice(0, -1).replace(',', '.')) * 1000;\n}\nfunction enter(vnode, toggleDisplay) {\n  var el = vnode.elm;\n  // call leave callback now\n  if (isDef(el._leaveCb)) {\n    el._leaveCb.cancelled = true;\n    el._leaveCb();\n  }\n  var data = resolveTransition(vnode.data.transition);\n  if (isUndef(data)) {\n    return;\n  }\n  /* istanbul ignore if */\n  if (isDef(el._enterCb) || el.nodeType !== 1) {\n    return;\n  }\n  var css = data.css,\n    type = data.type,\n    enterClass = data.enterClass,\n    enterToClass = data.enterToClass,\n    enterActiveClass = data.enterActiveClass,\n    appearClass = data.appearClass,\n    appearToClass = data.appearToClass,\n    appearActiveClass = data.appearActiveClass,\n    beforeEnter = data.beforeEnter,\n    enter = data.enter,\n    afterEnter = data.afterEnter,\n    enterCancelled = data.enterCancelled,\n    beforeAppear = data.beforeAppear,\n    appear = data.appear,\n    afterAppear = data.afterAppear,\n    appearCancelled = data.appearCancelled,\n    duration = data.duration;\n  // activeInstance will always be the <transition> component managing this\n  // transition. One edge case to check is when the <transition> is placed\n  // as the root node of a child component. In that case we need to check\n  // <transition>'s parent for appear check.\n  var context = activeInstance;\n  var transitionNode = activeInstance.$vnode;\n  while (transitionNode && transitionNode.parent) {\n    context = transitionNode.context;\n    transitionNode = transitionNode.parent;\n  }\n  var isAppear = !context._isMounted || !vnode.isRootInsert;\n  if (isAppear && !appear && appear !== '') {\n    return;\n  }\n  var startClass = isAppear && appearClass ? appearClass : enterClass;\n  var activeClass = isAppear && appearActiveClass ? appearActiveClass : enterActiveClass;\n  var toClass = isAppear && appearToClass ? appearToClass : enterToClass;\n  var beforeEnterHook = isAppear ? beforeAppear || beforeEnter : beforeEnter;\n  var enterHook = isAppear ? isFunction(appear) ? appear : enter : enter;\n  var afterEnterHook = isAppear ? afterAppear || afterEnter : afterEnter;\n  var enterCancelledHook = isAppear ? appearCancelled || enterCancelled : enterCancelled;\n  var explicitEnterDuration = toNumber(isObject(duration) ? duration.enter : duration);\n  if ( true && explicitEnterDuration != null) {\n    checkDuration(explicitEnterDuration, 'enter', vnode);\n  }\n  var expectsCSS = css !== false && !isIE9;\n  var userWantsControl = getHookArgumentsLength(enterHook);\n  var cb = el._enterCb = once(function () {\n    if (expectsCSS) {\n      removeTransitionClass(el, toClass);\n      removeTransitionClass(el, activeClass);\n    }\n    // @ts-expect-error\n    if (cb.cancelled) {\n      if (expectsCSS) {\n        removeTransitionClass(el, startClass);\n      }\n      enterCancelledHook && enterCancelledHook(el);\n    } else {\n      afterEnterHook && afterEnterHook(el);\n    }\n    el._enterCb = null;\n  });\n  if (!vnode.data.show) {\n    // remove pending leave element on enter by injecting an insert hook\n    mergeVNodeHook(vnode, 'insert', function () {\n      var parent = el.parentNode;\n      var pendingNode = parent && parent._pending && parent._pending[vnode.key];\n      if (pendingNode && pendingNode.tag === vnode.tag && pendingNode.elm._leaveCb) {\n        pendingNode.elm._leaveCb();\n      }\n      enterHook && enterHook(el, cb);\n    });\n  }\n  // start enter transition\n  beforeEnterHook && beforeEnterHook(el);\n  if (expectsCSS) {\n    addTransitionClass(el, startClass);\n    addTransitionClass(el, activeClass);\n    nextFrame(function () {\n      removeTransitionClass(el, startClass);\n      // @ts-expect-error\n      if (!cb.cancelled) {\n        addTransitionClass(el, toClass);\n        if (!userWantsControl) {\n          if (isValidDuration(explicitEnterDuration)) {\n            setTimeout(cb, explicitEnterDuration);\n          } else {\n            whenTransitionEnds(el, type, cb);\n          }\n        }\n      }\n    });\n  }\n  if (vnode.data.show) {\n    toggleDisplay && toggleDisplay();\n    enterHook && enterHook(el, cb);\n  }\n  if (!expectsCSS && !userWantsControl) {\n    cb();\n  }\n}\nfunction leave(vnode, rm) {\n  var el = vnode.elm;\n  // call enter callback now\n  if (isDef(el._enterCb)) {\n    el._enterCb.cancelled = true;\n    el._enterCb();\n  }\n  var data = resolveTransition(vnode.data.transition);\n  if (isUndef(data) || el.nodeType !== 1) {\n    return rm();\n  }\n  /* istanbul ignore if */\n  if (isDef(el._leaveCb)) {\n    return;\n  }\n  var css = data.css,\n    type = data.type,\n    leaveClass = data.leaveClass,\n    leaveToClass = data.leaveToClass,\n    leaveActiveClass = data.leaveActiveClass,\n    beforeLeave = data.beforeLeave,\n    leave = data.leave,\n    afterLeave = data.afterLeave,\n    leaveCancelled = data.leaveCancelled,\n    delayLeave = data.delayLeave,\n    duration = data.duration;\n  var expectsCSS = css !== false && !isIE9;\n  var userWantsControl = getHookArgumentsLength(leave);\n  var explicitLeaveDuration = toNumber(isObject(duration) ? duration.leave : duration);\n  if ( true && isDef(explicitLeaveDuration)) {\n    checkDuration(explicitLeaveDuration, 'leave', vnode);\n  }\n  var cb = el._leaveCb = once(function () {\n    if (el.parentNode && el.parentNode._pending) {\n      el.parentNode._pending[vnode.key] = null;\n    }\n    if (expectsCSS) {\n      removeTransitionClass(el, leaveToClass);\n      removeTransitionClass(el, leaveActiveClass);\n    }\n    // @ts-expect-error\n    if (cb.cancelled) {\n      if (expectsCSS) {\n        removeTransitionClass(el, leaveClass);\n      }\n      leaveCancelled && leaveCancelled(el);\n    } else {\n      rm();\n      afterLeave && afterLeave(el);\n    }\n    el._leaveCb = null;\n  });\n  if (delayLeave) {\n    delayLeave(performLeave);\n  } else {\n    performLeave();\n  }\n  function performLeave() {\n    // the delayed leave may have already been cancelled\n    // @ts-expect-error\n    if (cb.cancelled) {\n      return;\n    }\n    // record leaving element\n    if (!vnode.data.show && el.parentNode) {\n      (el.parentNode._pending || (el.parentNode._pending = {}))[vnode.key] = vnode;\n    }\n    beforeLeave && beforeLeave(el);\n    if (expectsCSS) {\n      addTransitionClass(el, leaveClass);\n      addTransitionClass(el, leaveActiveClass);\n      nextFrame(function () {\n        removeTransitionClass(el, leaveClass);\n        // @ts-expect-error\n        if (!cb.cancelled) {\n          addTransitionClass(el, leaveToClass);\n          if (!userWantsControl) {\n            if (isValidDuration(explicitLeaveDuration)) {\n              setTimeout(cb, explicitLeaveDuration);\n            } else {\n              whenTransitionEnds(el, type, cb);\n            }\n          }\n        }\n      });\n    }\n    leave && leave(el, cb);\n    if (!expectsCSS && !userWantsControl) {\n      cb();\n    }\n  }\n}\n// only used in dev mode\nfunction checkDuration(val, name, vnode) {\n  if (typeof val !== 'number') {\n    warn(\"<transition> explicit \".concat(name, \" duration is not a valid number - \") + \"got \".concat(JSON.stringify(val), \".\"), vnode.context);\n  } else if (isNaN(val)) {\n    warn(\"<transition> explicit \".concat(name, \" duration is NaN - \") + 'the duration expression might be incorrect.', vnode.context);\n  }\n}\nfunction isValidDuration(val) {\n  return typeof val === 'number' && !isNaN(val);\n}\n/**\n * Normalize a transition hook's argument length. The hook may be:\n * - a merged hook (invoker) with the original in .fns\n * - a wrapped component method (check ._length)\n * - a plain function (.length)\n */\nfunction getHookArgumentsLength(fn) {\n  if (isUndef(fn)) {\n    return false;\n  }\n  // @ts-expect-error\n  var invokerFns = fn.fns;\n  if (isDef(invokerFns)) {\n    // invoker\n    return getHookArgumentsLength(Array.isArray(invokerFns) ? invokerFns[0] : invokerFns);\n  } else {\n    // @ts-expect-error\n    return (fn._length || fn.length) > 1;\n  }\n}\nfunction _enter(_, vnode) {\n  if (vnode.data.show !== true) {\n    enter(vnode);\n  }\n}\nvar transition = inBrowser ? {\n  create: _enter,\n  activate: _enter,\n  remove: function (vnode, rm) {\n    /* istanbul ignore else */\n    if (vnode.data.show !== true) {\n      // @ts-expect-error\n      leave(vnode, rm);\n    } else {\n      rm();\n    }\n  }\n} : {};\nvar platformModules = [attrs, klass, events, domProps, style, transition];\n\n// the directive module should be applied last, after all\n// built-in modules have been applied.\nvar modules = platformModules.concat(baseModules);\nvar patch = createPatchFunction({\n  nodeOps: nodeOps,\n  modules: modules\n});\n\n/**\n * Not type checking this file because flow doesn't like attaching\n * properties to Elements.\n */\n/* istanbul ignore if */\nif (isIE9) {\n  // http://www.matts411.com/post/internet-explorer-9-oninput/\n  document.addEventListener('selectionchange', function () {\n    var el = document.activeElement;\n    // @ts-expect-error\n    if (el && el.vmodel) {\n      trigger(el, 'input');\n    }\n  });\n}\nvar directive = {\n  inserted: function (el, binding, vnode, oldVnode) {\n    if (vnode.tag === 'select') {\n      // #6903\n      if (oldVnode.elm && !oldVnode.elm._vOptions) {\n        mergeVNodeHook(vnode, 'postpatch', function () {\n          directive.componentUpdated(el, binding, vnode);\n        });\n      } else {\n        setSelected(el, binding, vnode.context);\n      }\n      el._vOptions = [].map.call(el.options, getValue);\n    } else if (vnode.tag === 'textarea' || isTextInputType(el.type)) {\n      el._vModifiers = binding.modifiers;\n      if (!binding.modifiers.lazy) {\n        el.addEventListener('compositionstart', onCompositionStart);\n        el.addEventListener('compositionend', onCompositionEnd);\n        // Safari < 10.2 & UIWebView doesn't fire compositionend when\n        // switching focus before confirming composition choice\n        // this also fixes the issue where some browsers e.g. iOS Chrome\n        // fires \"change\" instead of \"input\" on autocomplete.\n        el.addEventListener('change', onCompositionEnd);\n        /* istanbul ignore if */\n        if (isIE9) {\n          el.vmodel = true;\n        }\n      }\n    }\n  },\n  componentUpdated: function (el, binding, vnode) {\n    if (vnode.tag === 'select') {\n      setSelected(el, binding, vnode.context);\n      // in case the options rendered by v-for have changed,\n      // it's possible that the value is out-of-sync with the rendered options.\n      // detect such cases and filter out values that no longer has a matching\n      // option in the DOM.\n      var prevOptions_1 = el._vOptions;\n      var curOptions_1 = el._vOptions = [].map.call(el.options, getValue);\n      if (curOptions_1.some(function (o, i) {\n        return !looseEqual(o, prevOptions_1[i]);\n      })) {\n        // trigger change event if\n        // no matching option found for at least one value\n        var needReset = el.multiple ? binding.value.some(function (v) {\n          return hasNoMatchingOption(v, curOptions_1);\n        }) : binding.value !== binding.oldValue && hasNoMatchingOption(binding.value, curOptions_1);\n        if (needReset) {\n          trigger(el, 'change');\n        }\n      }\n    }\n  }\n};\nfunction setSelected(el, binding, vm) {\n  actuallySetSelected(el, binding, vm);\n  /* istanbul ignore if */\n  if (isIE || isEdge) {\n    setTimeout(function () {\n      actuallySetSelected(el, binding, vm);\n    }, 0);\n  }\n}\nfunction actuallySetSelected(el, binding, vm) {\n  var value = binding.value;\n  var isMultiple = el.multiple;\n  if (isMultiple && !Array.isArray(value)) {\n     true && warn(\"<select multiple v-model=\\\"\".concat(binding.expression, \"\\\"> \") + \"expects an Array value for its binding, but got \".concat(Object.prototype.toString.call(value).slice(8, -1)), vm);\n    return;\n  }\n  var selected, option;\n  for (var i = 0, l = el.options.length; i < l; i++) {\n    option = el.options[i];\n    if (isMultiple) {\n      selected = looseIndexOf(value, getValue(option)) > -1;\n      if (option.selected !== selected) {\n        option.selected = selected;\n      }\n    } else {\n      if (looseEqual(getValue(option), value)) {\n        if (el.selectedIndex !== i) {\n          el.selectedIndex = i;\n        }\n        return;\n      }\n    }\n  }\n  if (!isMultiple) {\n    el.selectedIndex = -1;\n  }\n}\nfunction hasNoMatchingOption(value, options) {\n  return options.every(function (o) {\n    return !looseEqual(o, value);\n  });\n}\nfunction getValue(option) {\n  return '_value' in option ? option._value : option.value;\n}\nfunction onCompositionStart(e) {\n  e.target.composing = true;\n}\nfunction onCompositionEnd(e) {\n  // prevent triggering an input event for no reason\n  if (!e.target.composing) return;\n  e.target.composing = false;\n  trigger(e.target, 'input');\n}\nfunction trigger(el, type) {\n  var e = document.createEvent('HTMLEvents');\n  e.initEvent(type, true, true);\n  el.dispatchEvent(e);\n}\n\n// recursively search for possible transition defined inside the component root\nfunction locateNode(vnode) {\n  // @ts-expect-error\n  return vnode.componentInstance && (!vnode.data || !vnode.data.transition) ? locateNode(vnode.componentInstance._vnode) : vnode;\n}\nvar show = {\n  bind: function (el, _a, vnode) {\n    var value = _a.value;\n    vnode = locateNode(vnode);\n    var transition = vnode.data && vnode.data.transition;\n    var originalDisplay = el.__vOriginalDisplay = el.style.display === 'none' ? '' : el.style.display;\n    if (value && transition) {\n      vnode.data.show = true;\n      enter(vnode, function () {\n        el.style.display = originalDisplay;\n      });\n    } else {\n      el.style.display = value ? originalDisplay : 'none';\n    }\n  },\n  update: function (el, _a, vnode) {\n    var value = _a.value,\n      oldValue = _a.oldValue;\n    /* istanbul ignore if */\n    if (!value === !oldValue) return;\n    vnode = locateNode(vnode);\n    var transition = vnode.data && vnode.data.transition;\n    if (transition) {\n      vnode.data.show = true;\n      if (value) {\n        enter(vnode, function () {\n          el.style.display = el.__vOriginalDisplay;\n        });\n      } else {\n        leave(vnode, function () {\n          el.style.display = 'none';\n        });\n      }\n    } else {\n      el.style.display = value ? el.__vOriginalDisplay : 'none';\n    }\n  },\n  unbind: function (el, binding, vnode, oldVnode, isDestroy) {\n    if (!isDestroy) {\n      el.style.display = el.__vOriginalDisplay;\n    }\n  }\n};\nvar platformDirectives = {\n  model: directive,\n  show: show\n};\n\n// Provides transition support for a single element/component.\nvar transitionProps = {\n  name: String,\n  appear: Boolean,\n  css: Boolean,\n  mode: String,\n  type: String,\n  enterClass: String,\n  leaveClass: String,\n  enterToClass: String,\n  leaveToClass: String,\n  enterActiveClass: String,\n  leaveActiveClass: String,\n  appearClass: String,\n  appearActiveClass: String,\n  appearToClass: String,\n  duration: [Number, String, Object]\n};\n// in case the child is also an abstract component, e.g. <keep-alive>\n// we want to recursively retrieve the real component to be rendered\nfunction getRealChild(vnode) {\n  var compOptions = vnode && vnode.componentOptions;\n  if (compOptions && compOptions.Ctor.options.abstract) {\n    return getRealChild(getFirstComponentChild(compOptions.children));\n  } else {\n    return vnode;\n  }\n}\nfunction extractTransitionData(comp) {\n  var data = {};\n  var options = comp.$options;\n  // props\n  for (var key in options.propsData) {\n    data[key] = comp[key];\n  }\n  // events.\n  // extract listeners and pass them directly to the transition methods\n  var listeners = options._parentListeners;\n  for (var key in listeners) {\n    data[camelize(key)] = listeners[key];\n  }\n  return data;\n}\nfunction placeholder(h, rawChild) {\n  // @ts-expect-error\n  if (/\\d-keep-alive$/.test(rawChild.tag)) {\n    return h('keep-alive', {\n      props: rawChild.componentOptions.propsData\n    });\n  }\n}\nfunction hasParentTransition(vnode) {\n  while (vnode = vnode.parent) {\n    if (vnode.data.transition) {\n      return true;\n    }\n  }\n}\nfunction isSameChild(child, oldChild) {\n  return oldChild.key === child.key && oldChild.tag === child.tag;\n}\nvar isNotTextNode = function (c) {\n  return c.tag || isAsyncPlaceholder(c);\n};\nvar isVShowDirective = function (d) {\n  return d.name === 'show';\n};\nvar Transition = {\n  name: 'transition',\n  props: transitionProps,\n  abstract: true,\n  render: function (h) {\n    var _this = this;\n    var children = this.$slots.default;\n    if (!children) {\n      return;\n    }\n    // filter out text nodes (possible whitespaces)\n    children = children.filter(isNotTextNode);\n    /* istanbul ignore if */\n    if (!children.length) {\n      return;\n    }\n    // warn multiple elements\n    if ( true && children.length > 1) {\n      warn('<transition> can only be used on a single element. Use ' + '<transition-group> for lists.', this.$parent);\n    }\n    var mode = this.mode;\n    // warn invalid mode\n    if ( true && mode && mode !== 'in-out' && mode !== 'out-in') {\n      warn('invalid <transition> mode: ' + mode, this.$parent);\n    }\n    var rawChild = children[0];\n    // if this is a component root node and the component's\n    // parent container node also has transition, skip.\n    if (hasParentTransition(this.$vnode)) {\n      return rawChild;\n    }\n    // apply transition data to child\n    // use getRealChild() to ignore abstract components e.g. keep-alive\n    var child = getRealChild(rawChild);\n    /* istanbul ignore if */\n    if (!child) {\n      return rawChild;\n    }\n    if (this._leaving) {\n      return placeholder(h, rawChild);\n    }\n    // ensure a key that is unique to the vnode type and to this transition\n    // component instance. This key will be used to remove pending leaving nodes\n    // during entering.\n    var id = \"__transition-\".concat(this._uid, \"-\");\n    child.key = child.key == null ? child.isComment ? id + 'comment' : id + child.tag : isPrimitive(child.key) ? String(child.key).indexOf(id) === 0 ? child.key : id + child.key : child.key;\n    var data = (child.data || (child.data = {})).transition = extractTransitionData(this);\n    var oldRawChild = this._vnode;\n    var oldChild = getRealChild(oldRawChild);\n    // mark v-show\n    // so that the transition module can hand over the control to the directive\n    if (child.data.directives && child.data.directives.some(isVShowDirective)) {\n      child.data.show = true;\n    }\n    if (oldChild && oldChild.data && !isSameChild(child, oldChild) && !isAsyncPlaceholder(oldChild) &&\n    // #6687 component root is a comment node\n    !(oldChild.componentInstance && oldChild.componentInstance._vnode.isComment)) {\n      // replace old child transition data with fresh one\n      // important for dynamic transitions!\n      var oldData = oldChild.data.transition = extend({}, data);\n      // handle transition mode\n      if (mode === 'out-in') {\n        // return placeholder node and queue update when leave finishes\n        this._leaving = true;\n        mergeVNodeHook(oldData, 'afterLeave', function () {\n          _this._leaving = false;\n          _this.$forceUpdate();\n        });\n        return placeholder(h, rawChild);\n      } else if (mode === 'in-out') {\n        if (isAsyncPlaceholder(child)) {\n          return oldRawChild;\n        }\n        var delayedLeave_1;\n        var performLeave = function () {\n          delayedLeave_1();\n        };\n        mergeVNodeHook(data, 'afterEnter', performLeave);\n        mergeVNodeHook(data, 'enterCancelled', performLeave);\n        mergeVNodeHook(oldData, 'delayLeave', function (leave) {\n          delayedLeave_1 = leave;\n        });\n      }\n    }\n    return rawChild;\n  }\n};\n\n// Provides transition support for list items.\nvar props = extend({\n  tag: String,\n  moveClass: String\n}, transitionProps);\ndelete props.mode;\nvar TransitionGroup = {\n  props: props,\n  beforeMount: function () {\n    var _this = this;\n    var update = this._update;\n    this._update = function (vnode, hydrating) {\n      var restoreActiveInstance = setActiveInstance(_this);\n      // force removing pass\n      _this.__patch__(_this._vnode, _this.kept, false,\n      // hydrating\n      true // removeOnly (!important, avoids unnecessary moves)\n      );\n\n      _this._vnode = _this.kept;\n      restoreActiveInstance();\n      update.call(_this, vnode, hydrating);\n    };\n  },\n  render: function (h) {\n    var tag = this.tag || this.$vnode.data.tag || 'span';\n    var map = Object.create(null);\n    var prevChildren = this.prevChildren = this.children;\n    var rawChildren = this.$slots.default || [];\n    var children = this.children = [];\n    var transitionData = extractTransitionData(this);\n    for (var i = 0; i < rawChildren.length; i++) {\n      var c = rawChildren[i];\n      if (c.tag) {\n        if (c.key != null && String(c.key).indexOf('__vlist') !== 0) {\n          children.push(c);\n          map[c.key] = c;\n          (c.data || (c.data = {})).transition = transitionData;\n        } else if (true) {\n          var opts = c.componentOptions;\n          var name_1 = opts ? getComponentName(opts.Ctor.options) || opts.tag || '' : c.tag;\n          warn(\"<transition-group> children must be keyed: <\".concat(name_1, \">\"));\n        }\n      }\n    }\n    if (prevChildren) {\n      var kept = [];\n      var removed = [];\n      for (var i = 0; i < prevChildren.length; i++) {\n        var c = prevChildren[i];\n        c.data.transition = transitionData;\n        // @ts-expect-error .getBoundingClientRect is not typed in Node\n        c.data.pos = c.elm.getBoundingClientRect();\n        if (map[c.key]) {\n          kept.push(c);\n        } else {\n          removed.push(c);\n        }\n      }\n      this.kept = h(tag, null, kept);\n      this.removed = removed;\n    }\n    return h(tag, null, children);\n  },\n  updated: function () {\n    var children = this.prevChildren;\n    var moveClass = this.moveClass || (this.name || 'v') + '-move';\n    if (!children.length || !this.hasMove(children[0].elm, moveClass)) {\n      return;\n    }\n    // we divide the work into three loops to avoid mixing DOM reads and writes\n    // in each iteration - which helps prevent layout thrashing.\n    children.forEach(callPendingCbs);\n    children.forEach(recordPosition);\n    children.forEach(applyTranslation);\n    // force reflow to put everything in position\n    // assign to this to avoid being removed in tree-shaking\n    // $flow-disable-line\n    this._reflow = document.body.offsetHeight;\n    children.forEach(function (c) {\n      if (c.data.moved) {\n        var el_1 = c.elm;\n        var s = el_1.style;\n        addTransitionClass(el_1, moveClass);\n        s.transform = s.WebkitTransform = s.transitionDuration = '';\n        el_1.addEventListener(transitionEndEvent, el_1._moveCb = function cb(e) {\n          if (e && e.target !== el_1) {\n            return;\n          }\n          if (!e || /transform$/.test(e.propertyName)) {\n            el_1.removeEventListener(transitionEndEvent, cb);\n            el_1._moveCb = null;\n            removeTransitionClass(el_1, moveClass);\n          }\n        });\n      }\n    });\n  },\n  methods: {\n    hasMove: function (el, moveClass) {\n      /* istanbul ignore if */\n      if (!hasTransition) {\n        return false;\n      }\n      /* istanbul ignore if */\n      if (this._hasMove) {\n        return this._hasMove;\n      }\n      // Detect whether an element with the move class applied has\n      // CSS transitions. Since the element may be inside an entering\n      // transition at this very moment, we make a clone of it and remove\n      // all other transition classes applied to ensure only the move class\n      // is applied.\n      var clone = el.cloneNode();\n      if (el._transitionClasses) {\n        el._transitionClasses.forEach(function (cls) {\n          removeClass(clone, cls);\n        });\n      }\n      addClass(clone, moveClass);\n      clone.style.display = 'none';\n      this.$el.appendChild(clone);\n      var info = getTransitionInfo(clone);\n      this.$el.removeChild(clone);\n      return this._hasMove = info.hasTransform;\n    }\n  }\n};\nfunction callPendingCbs(c) {\n  /* istanbul ignore if */\n  if (c.elm._moveCb) {\n    c.elm._moveCb();\n  }\n  /* istanbul ignore if */\n  if (c.elm._enterCb) {\n    c.elm._enterCb();\n  }\n}\nfunction recordPosition(c) {\n  c.data.newPos = c.elm.getBoundingClientRect();\n}\nfunction applyTranslation(c) {\n  var oldPos = c.data.pos;\n  var newPos = c.data.newPos;\n  var dx = oldPos.left - newPos.left;\n  var dy = oldPos.top - newPos.top;\n  if (dx || dy) {\n    c.data.moved = true;\n    var s = c.elm.style;\n    s.transform = s.WebkitTransform = \"translate(\".concat(dx, \"px,\").concat(dy, \"px)\");\n    s.transitionDuration = '0s';\n  }\n}\nvar platformComponents = {\n  Transition: Transition,\n  TransitionGroup: TransitionGroup\n};\n\n// install platform specific utils\nVue.config.mustUseProp = mustUseProp;\nVue.config.isReservedTag = isReservedTag;\nVue.config.isReservedAttr = isReservedAttr;\nVue.config.getTagNamespace = getTagNamespace;\nVue.config.isUnknownElement = isUnknownElement;\n// install platform runtime directives & components\nextend(Vue.options.directives, platformDirectives);\nextend(Vue.options.components, platformComponents);\n// install platform patch function\nVue.prototype.__patch__ = inBrowser ? patch : noop;\n// public mount method\nVue.prototype.$mount = function (el, hydrating) {\n  el = el && inBrowser ? query(el) : undefined;\n  return mountComponent(this, el, hydrating);\n};\n// devtools global hook\n/* istanbul ignore next */\nif (inBrowser) {\n  setTimeout(function () {\n    if (config.devtools) {\n      if (devtools) {\n        devtools.emit('init', Vue);\n      } else if (true) {\n        // @ts-expect-error\n        console[console.info ? 'info' : 'log']('Download the Vue Devtools extension for a better development experience:\\n' + 'https://github.com/vuejs/vue-devtools');\n      }\n    }\n    if ( true && config.productionTip !== false && typeof console !== 'undefined') {\n      // @ts-expect-error\n      console[console.info ? 'info' : 'log'](\"You are running Vue in development mode.\\n\" + \"Make sure to turn on production mode when deploying for production.\\n\" + \"See more tips at https://vuejs.org/guide/deployment.html\");\n    }\n  }, 0);\n}\n\n\n//# sourceURL=webpack://JCM-AI/./node_modules/vue/dist/vue.runtime.esm.js?");
-
-/***/ }),
-
-/***/ "./node_modules/which-typed-array/index.js":
-/*!*************************************************!*\
-  !*** ./node_modules/which-typed-array/index.js ***!
-  \*************************************************/
-/***/ (function(module, __unused_webpack_exports, __webpack_require__) {
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_create(it) : $defineProperties(_create(it), P);\n};\nvar $propertyIsEnumerable = function propertyIsEnumerable(key) {\n  var E = isEnum.call(this, key = toPrimitive(key, true));\n  if (this === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return false;\n  return E || !has(this, key) || !has(AllSymbols, key) || has(this, HIDDEN) && this[HIDDEN][key] ? E : true;\n};\nvar $getOwnPropertyDescriptor = function getOwnPropertyDescriptor(it, key) {\n  it = toIObject(it);\n  key = toPrimitive(key, true);\n  if (it === ObjectProto && has(AllSymbols, key) && !has(OPSymbols, key)) return;\n  var D = gOPD(it, key);\n  if (D && has(AllSymbols, key) && !(has(it, HIDDEN) && it[HIDDEN][key])) D.enumerable = true;\n  return D;\n};\nvar $getOwnPropertyNames = function getOwnPropertyNames(it) {\n  var names = gOPN(toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (!has(AllSymbols, key = names[i++]) && key != HIDDEN && key != META) result.push(key);\n  } return result;\n};\nvar $getOwnPropertySymbols = function getOwnPropertySymbols(it) {\n  var IS_OP = it === ObjectProto;\n  var names = gOPN(IS_OP ? OPSymbols : toIObject(it));\n  var result = [];\n  var i = 0;\n  var key;\n  while (names.length > i) {\n    if (has(AllSymbols, key = names[i++]) && (IS_OP ? has(ObjectProto, key) : true)) result.push(AllSymbols[key]);\n  } return result;\n};\n\n// 19.4.1.1 Symbol([description])\nif (!USE_NATIVE) {\n  $Symbol = function Symbol() {\n    if (this instanceof $Symbol) throw TypeError('Symbol is not a constructor!');\n    var tag = uid(arguments.length > 0 ? arguments[0] : undefined);\n    var $set = function (value) {\n      if (this === ObjectProto) $set.call(OPSymbols, value);\n      if (has(this, HIDDEN) && has(this[HIDDEN], tag)) this[HIDDEN][tag] = false;\n      setSymbolDesc(this, tag, createDesc(1, value));\n    };\n    if (DESCRIPTORS && setter) setSymbolDesc(ObjectProto, tag, { configurable: true, set: $set });\n    return wrap(tag);\n  };\n  redefine($Symbol[PROTOTYPE], 'toString', function toString() {\n    return this._k;\n  });\n\n  $GOPD.f = $getOwnPropertyDescriptor;\n  $DP.f = $defineProperty;\n  (__webpack_require__(/*! ./_object-gopn */ \"./node_modules/babel-runtime/node_modules/core-js/library/modules/_object-gopn.js\").f) = gOPNExt.f = $getOwnPropertyNames;\n  (__webpack_require__(/*! ./_object-pie */ \"./node_modules/babel-runtime/node_modules/core-js/library/modules/_object-pie.js\").f) = $propertyIsEnumerable;\n  $GOPS.f = $getOwnPropertySymbols;\n\n  if (DESCRIPTORS && !__webpack_require__(/*! ./_library */ \"./node_modules/babel-runtime/node_modules/core-js/library/modules/_library.js\")) {\n    redefine(ObjectProto, 'propertyIsEnumerable', $propertyIsEnumerable, true);\n  }\n\n  wksExt.f = function (name) {\n    return wrap(wks(name));\n  };\n}\n\n$export($export.G + $export.W + $export.F * !USE_NATIVE, { Symbol: $Symbol });\n\nfor (var es6Symbols = (\n  // 19.4.2.2, 19.4.2.3, 19.4.2.4, 19.4.2.6, 19.4.2.8, 19.4.2.9, 19.4.2.10, 19.4.2.11, 19.4.2.12, 19.4.2.13, 19.4.2.14\n  'hasInstance,isConcatSpreadable,iterator,match,replace,search,species,split,toPrimitive,toStringTag,unscopables'\n).split(','), j = 0; es6Symbols.length > j;)wks(es6Symbols[j++]);\n\nfor (var wellKnownSymbols = $keys(wks.store), k = 0; wellKnownSymbols.length > k;) wksDefine(wellKnownSymbols[k++]);\n\n$export($export.S + $export.F * !USE_NATIVE, 'Symbol', {\n  // 19.4.2.1 Symbol.for(key)\n  'for': function (key) {\n    return has(SymbolRegistry, key += '')\n      ? SymbolRegistry[key]\n      : SymbolRegistry[key] = $Symbol(key);\n  },\n  // 19.4.2.5 Symbol.keyFor(sym)\n  keyFor: function keyFor(sym) {\n    if (!isSymbol(sym)) throw TypeError(sym + ' is not a symbol!');\n    for (var key in SymbolRegistry) if (SymbolRegistry[key] === sym) return key;\n  },\n  useSetter: function () { setter = true; },\n  useSimple: function () { setter = false; }\n});\n\n$export($export.S + $export.F * !USE_NATIVE, 'Object', {\n  // 19.1.2.2 Object.create(O [, Properties])\n  create: $create,\n  // 19.1.2.4 Object.defineProperty(O, P, Attributes)\n  defineProperty: $defineProperty,\n  // 19.1.2.3 Object.defineProperties(O, Properties)\n  defineProperties: $defineProperties,\n  // 19.1.2.6 Object.getOwnPropertyDescriptor(O, P)\n  getOwnPropertyDescriptor: $getOwnPropertyDescriptor,\n  // 19.1.2.7 Object.getOwnPropertyNames(O)\n  getOwnPropertyNames: $getOwnPropertyNames,\n  // 19.1.2.8 Object.getOwnPropertySymbols(O)\n  getOwnPropertySymbols: $getOwnPropertySymbols\n});\n\n// Chrome 38 and 39 `Object.getOwnPropertySymbols` fails on primitives\n// https://bugs.chromium.org/p/v8/issues/detail?id=3443\nvar FAILS_ON_PRIMITIVES = $fails(function () { $GOPS.f(1); });\n\n$export($export.S + $export.F * FAILS_ON_PRIMITIVES, 'Object', {\n  getOwnPropertySymbols: function getOwnPropertySymbols(it) {\n    return $GOPS.f(toObject(it));\n  }\n});\n\n// 24.3.2 JSON.stringify(value [, replacer [, space]])\n$JSON && $export($export.S + $export.F * (!USE_NATIVE || $fails(function () {\n  var S = $Symbol();\n  // MS Edge converts symbol values to JSON as {}\n  // WebKit converts symbol values to JSON as null\n  // V8 throws on boxed symbols\n  return _stringify([S]) != '[null]' || _stringify({ a: S }) != '{}' || _stringify(Object(S)) != '{}';\n})), 'JSON', {\n  stringify: function stringify(it) {\n    var args = [it];\n    var i = 1;\n    var replacer, $replacer;\n    while (arguments.length > i) args.push(arguments[i++]);\n    $replacer = replacer = args[1];\n    if (!isObject(replacer) && it === undefined || isSymbol(it)) return; // IE8 returns string on undefined\n    if (!isArray(replacer)) replacer = function (key, value) {\n      if (typeof $replacer == 'function') value = $replacer.call(this, key, value);\n      if (!isSymbol(value)) return value;\n    };\n    args[1] = replacer;\n    return _stringify.apply($JSON, args);\n  }\n});\n\n// 19.4.3.4 Symbol.prototype[@@toPrimitive](hint)\n$Symbol[PROTOTYPE][TO_PRIMITIVE] || __webpack_require__(/*! ./_hide */ \"./node_modules/babel-runtime/node_modules/core-js/library/modules/_hide.js\")($Symbol[PROTOTYPE], TO_PRIMITIVE, $Symbol[PROTOTYPE].valueOf);\n// 19.4.3.5 Symbol.prototype[@@toStringTag]\nsetToStringTag($Symbol, 'Symbol');\n// 20.2.1.9 Math[@@toStringTag]\nsetToStringTag(Math, 'Math', true);\n// 24.3.3 JSON[@@toStringTag]\nsetToStringTag(global.JSON, 'JSON', true);\n\n\n//# sourceURL=webpack://JCM-AI/./node_modules/babel-runtime/node_modules/core-js/library/modules/es6.symbol.js?");
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' +\n    \"Use { target: 'node' } in your Webpack config to indicate a server-rendering environment.\"\n  ) }\n}\n\n/*\ntype StyleObject = {\n  id: number;\n  parts: Array<StyleObjectPart>\n}\n\ntype StyleObjectPart = {\n  css: string;\n  media: string;\n  sourceMap: ?string\n}\n*/\n\nvar stylesInDom = {/*\n  [id: number]: {\n    id: number,\n    refs: number,\n    parts: Array<(obj?: StyleObjectPart) => void>\n  }\n*/}\n\nvar head = hasDocument && (document.head || document.getElementsByTagName('head')[0])\nvar singletonElement = null\nvar singletonCounter = 0\nvar isProduction = false\nvar noop = function () {}\nvar options = null\nvar ssrIdKey = 'data-vue-ssr-id'\n\n// Force single-tag solution on IE6-9, which has a hard limit on the # of <style>\n// tags it will allow on a page\nvar isOldIE = typeof navigator !== 'undefined' && /msie [6-9]\\b/.test(navigator.userAgent.toLowerCase())\n\nfunction addStylesClient (parentId, list, _isProduction, _options) {\n  isProduction = _isProduction\n\n  options = _options || {}\n\n  var styles = (0,_listToStyles__WEBPACK_IMPORTED_MODULE_0__[\"default\"])(parentId, list)\n  addStylesToDom(styles)\n\n  return function update (newList) {\n    var mayRemove = []\n    for (var i = 0; i < styles.length; i++) {\n      var item = styles[i]\n      var domStyle = stylesInDom[item.id]\n      domStyle.refs--\n      mayRemove.push(domStyle)\n    }\n    if (newList) {\n      styles = (0,_listToStyles__WEBPACK_IMPORTED_MODULE_0__[\"default\"])(parentId, newList)\n      addStylesToDom(styles)\n    } else {\n      styles = []\n    }\n    for (var i = 0; i < mayRemove.length; i++) {\n      var domStyle = mayRemove[i]\n      if (domStyle.refs === 0) {\n        for (var j = 0; j < domStyle.parts.length; j++) {\n          domStyle.parts[j]()\n        }\n        delete stylesInDom[domStyle.id]\n      }\n    }\n  }\n}\n\nfunction addStylesToDom (styles /* Array<StyleObject> */) {\n  for (var i = 0; i < styles.length; i++) {\n    var item = styles[i]\n    var domStyle = stylesInDom[item.id]\n    if (domStyle) {\n      domStyle.refs++\n      for (var j = 0; j < domStyle.parts.length; j++) {\n        domStyle.parts[j](item.parts[j])\n      }\n      for (; j < item.parts.length; j++) {\n        domStyle.parts.push(addStyle(item.parts[j]))\n      }\n      if (domStyle.parts.length > item.parts.length) {\n        domStyle.parts.length = item.parts.length\n      }\n    } else {\n      var parts = []\n      for (var j = 0; j < item.parts.length; j++) {\n        parts.push(addStyle(item.parts[j]))\n      }\n      stylesInDom[item.id] = { id: item.id, refs: 1, parts: parts }\n    }\n  }\n}\n\nfunction createStyleElement () {\n  var styleElement = document.createElement('style')\n  styleElement.type = 'text/css'\n  head.appendChild(styleElement)\n  return styleElement\n}\n\nfunction addStyle (obj /* StyleObjectPart */) {\n  var update, remove\n  var styleElement = document.querySelector('style[' + ssrIdKey + '~=\"' + obj.id + '\"]')\n\n  if (styleElement) {\n    if (isProduction) {\n      // has SSR styles and in production mode.\n      // simply do nothing.\n      return noop\n    } else {\n      // has SSR styles but in dev mode.\n      // for some reason Chrome can't handle source map in server-rendered\n      // style tags - source maps in <style> only works if the style tag is\n      // created and inserted dynamically. 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./helpers/spread.js */ \"./node_modules/axios/lib/helpers/spread.js\");\n/* harmony import */ var _helpers_isAxiosError_js__WEBPACK_IMPORTED_MODULE_12__ = __webpack_require__(/*! ./helpers/isAxiosError.js */ \"./node_modules/axios/lib/helpers/isAxiosError.js\");\n/* harmony import */ var _core_AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_13__ = __webpack_require__(/*! ./core/AxiosHeaders.js */ \"./node_modules/axios/lib/core/AxiosHeaders.js\");\n/* harmony import */ var _helpers_HttpStatusCode_js__WEBPACK_IMPORTED_MODULE_15__ = __webpack_require__(/*! ./helpers/HttpStatusCode.js */ \"./node_modules/axios/lib/helpers/HttpStatusCode.js\");\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n/**\n * Create an instance of Axios\n *\n * @param {Object} defaultConfig The default config for the instance\n *\n * @returns {Axios} A new instance of Axios\n */\nfunction createInstance(defaultConfig) {\n  const context = new _core_Axios_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"](defaultConfig);\n  const instance = (0,_helpers_bind_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"])(_core_Axios_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].prototype.request, context);\n\n  // Copy axios.prototype to instance\n  _utils_js__WEBPACK_IMPORTED_MODULE_2__[\"default\"].extend(instance, _core_Axios_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].prototype, context, {\n    allOwnKeys: true\n  });\n\n  // Copy context to instance\n  _utils_js__WEBPACK_IMPORTED_MODULE_2__[\"default\"].extend(instance, context, null, {\n    allOwnKeys: true\n  });\n\n  // Factory for creating new instances\n  instance.create = function create(instanceConfig) {\n    return createInstance((0,_core_mergeConfig_js__WEBPACK_IMPORTED_MODULE_3__[\"default\"])(defaultConfig, instanceConfig));\n  };\n  return instance;\n}\n\n// Create the default instance to be exported\nconst axios = createInstance(_defaults_index_js__WEBPACK_IMPORTED_MODULE_4__[\"default\"]);\n\n// Expose Axios class to allow class inheritance\naxios.Axios = _core_Axios_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"];\n\n// Expose Cancel & CancelToken\naxios.CanceledError = _cancel_CanceledError_js__WEBPACK_IMPORTED_MODULE_5__[\"default\"];\naxios.CancelToken = _cancel_CancelToken_js__WEBPACK_IMPORTED_MODULE_6__[\"default\"];\naxios.isCancel = _cancel_isCancel_js__WEBPACK_IMPORTED_MODULE_7__[\"default\"];\naxios.VERSION = _env_data_js__WEBPACK_IMPORTED_MODULE_8__.VERSION;\naxios.toFormData = _helpers_toFormData_js__WEBPACK_IMPORTED_MODULE_9__[\"default\"];\n\n// Expose AxiosError class\naxios.AxiosError = _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_10__[\"default\"];\n\n// alias for CanceledError for backward compatibility\naxios.Cancel = axios.CanceledError;\n\n// Expose all/spread\naxios.all = function all(promises) {\n  return Promise.all(promises);\n};\naxios.spread = _helpers_spread_js__WEBPACK_IMPORTED_MODULE_11__[\"default\"];\n\n// Expose isAxiosError\naxios.isAxiosError = _helpers_isAxiosError_js__WEBPACK_IMPORTED_MODULE_12__[\"default\"];\n\n// Expose mergeConfig\naxios.mergeConfig = _core_mergeConfig_js__WEBPACK_IMPORTED_MODULE_3__[\"default\"];\naxios.AxiosHeaders = _core_AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_13__[\"default\"];\naxios.formToJSON = thing => (0,_helpers_formDataToJSON_js__WEBPACK_IMPORTED_MODULE_14__[\"default\"])(_utils_js__WEBPACK_IMPORTED_MODULE_2__[\"default\"].isHTMLForm(thing) ? new FormData(thing) : thing);\naxios.HttpStatusCode = _helpers_HttpStatusCode_js__WEBPACK_IMPORTED_MODULE_15__[\"default\"];\naxios.default = axios;\n\n// this module should only have a default export\n/* harmony default export */ __webpack_exports__[\"default\"] = (axios);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/axios.js?");
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-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n/* harmony import */ var _CanceledError_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ./CanceledError.js */ \"./node_modules/axios/lib/cancel/CanceledError.js\");\n\n\n\n\n\n/**\n * A `CancelToken` is an object that can be used to request cancellation of an operation.\n *\n * @param {Function} executor The executor function.\n *\n * @returns {CancelToken}\n */\nclass CancelToken {\n  constructor(executor) {\n    if (typeof executor !== 'function') {\n      throw new TypeError('executor must be a function.');\n    }\n    let resolvePromise;\n    this.promise = new Promise(function promiseExecutor(resolve) {\n      resolvePromise = resolve;\n    });\n    const token = this;\n\n    // eslint-disable-next-line func-names\n    this.promise.then(cancel => {\n      if (!token._listeners) return;\n      let i = token._listeners.length;\n      while (i-- > 0) {\n        token._listeners[i](cancel);\n      }\n      token._listeners = null;\n    });\n\n    // eslint-disable-next-line func-names\n    this.promise.then = onfulfilled => {\n      let _resolve;\n      // eslint-disable-next-line func-names\n      const promise = new Promise(resolve => {\n        token.subscribe(resolve);\n        _resolve = resolve;\n      }).then(onfulfilled);\n      promise.cancel = function reject() {\n        token.unsubscribe(_resolve);\n      };\n      return promise;\n    };\n    executor(function cancel(message, config, request) {\n      if (token.reason) {\n        // Cancellation has already been requested\n        return;\n      }\n      token.reason = new _CanceledError_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"](message, config, request);\n      resolvePromise(token.reason);\n    });\n  }\n\n  /**\n   * Throws a `CanceledError` if cancellation has been requested.\n   */\n  throwIfRequested() {\n    if (this.reason) {\n      throw this.reason;\n    }\n  }\n\n  /**\n   * Subscribe to the cancel signal\n   */\n\n  subscribe(listener) {\n    if (this.reason) {\n      listener(this.reason);\n      return;\n    }\n    if (this._listeners) {\n      this._listeners.push(listener);\n    } else {\n      this._listeners = [listener];\n    }\n  }\n\n  /**\n   * Unsubscribe from the cancel signal\n   */\n\n  unsubscribe(listener) {\n    if (!this._listeners) {\n      return;\n    }\n    const index = this._listeners.indexOf(listener);\n    if (index !== -1) {\n      this._listeners.splice(index, 1);\n    }\n  }\n\n  /**\n   * Returns an object that contains a new `CancelToken` and a function that, when called,\n   * cancels the `CancelToken`.\n   */\n  static source() {\n    let cancel;\n    const token = new CancelToken(function executor(c) {\n      cancel = c;\n    });\n    return {\n      token,\n      cancel\n    };\n  }\n}\n/* harmony default export */ __webpack_exports__[\"default\"] = (CancelToken);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/cancel/CancelToken.js?");
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-/***/ }),
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-/***/ "./node_modules/axios/lib/cancel/CanceledError.js":
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-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../core/AxiosError.js */ \"./node_modules/axios/lib/core/AxiosError.js\");\n/* harmony import */ var _utils_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../utils.js */ \"./node_modules/axios/lib/utils.js\");\n\n\n\n\n\n/**\n * A `CanceledError` is an object that is thrown when an operation is canceled.\n *\n * @param {string=} message The message.\n * @param {Object=} config The config.\n * @param {Object=} request The request.\n *\n * @returns {CanceledError} The created error.\n */\nfunction CanceledError(message, config, request) {\n  // eslint-disable-next-line no-eq-null,eqeqeq\n  _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].call(this, message == null ? 'canceled' : message, _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].ERR_CANCELED, config, request);\n  this.name = 'CanceledError';\n}\n_utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].inherits(CanceledError, _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"], {\n  __CANCEL__: true\n});\n/* harmony default export */ __webpack_exports__[\"default\"] = (CanceledError);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/cancel/CanceledError.js?");
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-/***/ "./node_modules/axios/lib/cancel/isCancel.js":
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-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */   \"default\": function() { return /* binding */ isCancel; }\n/* harmony export */ });\n\n\nfunction isCancel(value) {\n  return !!(value && value.__CANCEL__);\n}\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/cancel/isCancel.js?");
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-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var core_js_modules_es_array_unshift_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! core-js/modules/es.array.unshift.js */ \"./node_modules/core-js/modules/es.array.unshift.js\");\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n/* harmony import */ var _utils_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(/*! ./../utils.js */ \"./node_modules/axios/lib/utils.js\");\n/* harmony import */ var _helpers_buildURL_js__WEBPACK_IMPORTED_MODULE_9__ = __webpack_require__(/*! ../helpers/buildURL.js */ \"./node_modules/axios/lib/helpers/buildURL.js\");\n/* harmony import */ var _InterceptorManager_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! ./InterceptorManager.js */ \"./node_modules/axios/lib/core/InterceptorManager.js\");\n/* harmony import */ var _dispatchRequest_js__WEBPACK_IMPORTED_MODULE_7__ = __webpack_require__(/*! ./dispatchRequest.js */ \"./node_modules/axios/lib/core/dispatchRequest.js\");\n/* harmony import */ var _mergeConfig_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(/*! ./mergeConfig.js */ \"./node_modules/axios/lib/core/mergeConfig.js\");\n/* harmony import */ var _buildFullPath_js__WEBPACK_IMPORTED_MODULE_8__ = __webpack_require__(/*! ./buildFullPath.js */ \"./node_modules/axios/lib/core/buildFullPath.js\");\n/* harmony import */ var _helpers_validator_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! ../helpers/validator.js */ \"./node_modules/axios/lib/helpers/validator.js\");\n/* harmony import */ var _AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_6__ = __webpack_require__(/*! ./AxiosHeaders.js */ \"./node_modules/axios/lib/core/AxiosHeaders.js\");\n\n\n\n\n\n\n\n\n\n\n\n\nconst validators = _helpers_validator_js__WEBPACK_IMPORTED_MODULE_2__[\"default\"].validators;\n\n/**\n * Create a new instance of Axios\n *\n * @param {Object} instanceConfig The default config for the instance\n *\n * @return {Axios} A new instance of Axios\n */\nclass Axios {\n  constructor(instanceConfig) {\n    this.defaults = instanceConfig;\n    this.interceptors = {\n      request: new _InterceptorManager_js__WEBPACK_IMPORTED_MODULE_3__[\"default\"](),\n      response: new _InterceptorManager_js__WEBPACK_IMPORTED_MODULE_3__[\"default\"]()\n    };\n  }\n\n  /**\n   * Dispatch a request\n   *\n   * @param {String|Object} configOrUrl The config specific for this request (merged with this.defaults)\n   * @param {?Object} config\n   *\n   * @returns {Promise} The Promise to be fulfilled\n   */\n  request(configOrUrl, config) {\n    /*eslint no-param-reassign:0*/\n    // Allow for axios('example/url'[, config]) a la fetch API\n    if (typeof configOrUrl === 'string') {\n      config = config || {};\n      config.url = configOrUrl;\n    } else {\n      config = configOrUrl || {};\n    }\n    config = (0,_mergeConfig_js__WEBPACK_IMPORTED_MODULE_4__[\"default\"])(this.defaults, config);\n    const {\n      transitional,\n      paramsSerializer,\n      headers\n    } = config;\n    if (transitional !== undefined) {\n      _helpers_validator_js__WEBPACK_IMPORTED_MODULE_2__[\"default\"].assertOptions(transitional, {\n        silentJSONParsing: validators.transitional(validators.boolean),\n        forcedJSONParsing: validators.transitional(validators.boolean),\n        clarifyTimeoutError: validators.transitional(validators.boolean)\n      }, false);\n    }\n    if (paramsSerializer !== undefined) {\n      _helpers_validator_js__WEBPACK_IMPORTED_MODULE_2__[\"default\"].assertOptions(paramsSerializer, {\n        encode: validators.function,\n        serialize: validators.function\n      }, true);\n    }\n\n    // Set config.method\n    config.method = (config.method || this.defaults.method || 'get').toLowerCase();\n    let contextHeaders;\n\n    // Flatten headers\n    contextHeaders = headers && _utils_js__WEBPACK_IMPORTED_MODULE_5__[\"default\"].merge(headers.common, headers[config.method]);\n    contextHeaders && _utils_js__WEBPACK_IMPORTED_MODULE_5__[\"default\"].forEach(['delete', 'get', 'head', 'post', 'put', 'patch', 'common'], method => {\n      delete headers[method];\n    });\n    config.headers = _AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_6__[\"default\"].concat(contextHeaders, headers);\n\n    // filter out skipped interceptors\n    const requestInterceptorChain = [];\n    let synchronousRequestInterceptors = true;\n    this.interceptors.request.forEach(function unshiftRequestInterceptors(interceptor) {\n      if (typeof interceptor.runWhen === 'function' && interceptor.runWhen(config) === false) {\n        return;\n      }\n      synchronousRequestInterceptors = synchronousRequestInterceptors && interceptor.synchronous;\n      requestInterceptorChain.unshift(interceptor.fulfilled, interceptor.rejected);\n    });\n    const responseInterceptorChain = [];\n    this.interceptors.response.forEach(function pushResponseInterceptors(interceptor) {\n      responseInterceptorChain.push(interceptor.fulfilled, interceptor.rejected);\n    });\n    let promise;\n    let i = 0;\n    let len;\n    if (!synchronousRequestInterceptors) {\n      const chain = [_dispatchRequest_js__WEBPACK_IMPORTED_MODULE_7__[\"default\"].bind(this), undefined];\n      chain.unshift.apply(chain, requestInterceptorChain);\n      chain.push.apply(chain, responseInterceptorChain);\n      len = chain.length;\n      promise = Promise.resolve(config);\n      while (i < len) {\n        promise = promise.then(chain[i++], chain[i++]);\n      }\n      return promise;\n    }\n    len = requestInterceptorChain.length;\n    let newConfig = config;\n    i = 0;\n    while (i < len) {\n      const onFulfilled = requestInterceptorChain[i++];\n      const onRejected = requestInterceptorChain[i++];\n      try {\n        newConfig = onFulfilled(newConfig);\n      } catch (error) {\n        onRejected.call(this, error);\n        break;\n      }\n    }\n    try {\n      promise = _dispatchRequest_js__WEBPACK_IMPORTED_MODULE_7__[\"default\"].call(this, newConfig);\n    } catch (error) {\n      return Promise.reject(error);\n    }\n    i = 0;\n    len = responseInterceptorChain.length;\n    while (i < len) {\n      promise = promise.then(responseInterceptorChain[i++], responseInterceptorChain[i++]);\n    }\n    return promise;\n  }\n  getUri(config) {\n    config = (0,_mergeConfig_js__WEBPACK_IMPORTED_MODULE_4__[\"default\"])(this.defaults, config);\n    const fullPath = (0,_buildFullPath_js__WEBPACK_IMPORTED_MODULE_8__[\"default\"])(config.baseURL, config.url);\n    return (0,_helpers_buildURL_js__WEBPACK_IMPORTED_MODULE_9__[\"default\"])(fullPath, config.params, config.paramsSerializer);\n  }\n}\n\n// Provide aliases for supported request methods\n_utils_js__WEBPACK_IMPORTED_MODULE_5__[\"default\"].forEach(['delete', 'get', 'head', 'options'], function forEachMethodNoData(method) {\n  /*eslint func-names:0*/\n  Axios.prototype[method] = function (url, config) {\n    return this.request((0,_mergeConfig_js__WEBPACK_IMPORTED_MODULE_4__[\"default\"])(config || {}, {\n      method,\n      url,\n      data: (config || {}).data\n    }));\n  };\n});\n_utils_js__WEBPACK_IMPORTED_MODULE_5__[\"default\"].forEach(['post', 'put', 'patch'], function forEachMethodWithData(method) {\n  /*eslint func-names:0*/\n\n  function generateHTTPMethod(isForm) {\n    return function httpMethod(url, data, config) {\n      return this.request((0,_mergeConfig_js__WEBPACK_IMPORTED_MODULE_4__[\"default\"])(config || {}, {\n        method,\n        headers: isForm ? {\n          'Content-Type': 'multipart/form-data'\n        } : {},\n        url,\n        data\n      }));\n    };\n  }\n  Axios.prototype[method] = generateHTTPMethod();\n  Axios.prototype[method + 'Form'] = generateHTTPMethod(true);\n});\n/* harmony default export */ __webpack_exports__[\"default\"] = (Axios);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/core/Axios.js?");
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-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var _utils_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../utils.js */ \"./node_modules/axios/lib/utils.js\");\n\n\n\n\n/**\n * Create an Error with the specified message, config, error code, request and response.\n *\n * @param {string} message The error message.\n * @param {string} [code] The error code (for example, 'ECONNABORTED').\n * @param {Object} [config] The config.\n * @param {Object} [request] The request.\n * @param {Object} [response] The response.\n *\n * @returns {Error} The created error.\n */\nfunction AxiosError(message, code, config, request, response) {\n  Error.call(this);\n  if (Error.captureStackTrace) {\n    Error.captureStackTrace(this, this.constructor);\n  } else {\n    this.stack = new Error().stack;\n  }\n  this.message = message;\n  this.name = 'AxiosError';\n  code && (this.code = code);\n  config && (this.config = config);\n  request && (this.request = request);\n  response && (this.response = response);\n}\n_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].inherits(AxiosError, Error, {\n  toJSON: function toJSON() {\n    return {\n      // Standard\n      message: this.message,\n      name: this.name,\n      // Microsoft\n      description: this.description,\n      number: this.number,\n      // Mozilla\n      fileName: this.fileName,\n      lineNumber: this.lineNumber,\n      columnNumber: this.columnNumber,\n      stack: this.stack,\n      // Axios\n      config: _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].toJSONObject(this.config),\n      code: this.code,\n      status: this.response && this.response.status ? this.response.status : null\n    };\n  }\n});\nconst prototype = AxiosError.prototype;\nconst descriptors = {};\n['ERR_BAD_OPTION_VALUE', 'ERR_BAD_OPTION', 'ECONNABORTED', 'ETIMEDOUT', 'ERR_NETWORK', 'ERR_FR_TOO_MANY_REDIRECTS', 'ERR_DEPRECATED', 'ERR_BAD_RESPONSE', 'ERR_BAD_REQUEST', 'ERR_CANCELED', 'ERR_NOT_SUPPORT', 'ERR_INVALID_URL'\n// eslint-disable-next-line func-names\n].forEach(code => {\n  descriptors[code] = {\n    value: code\n  };\n});\nObject.defineProperties(AxiosError, descriptors);\nObject.defineProperty(prototype, 'isAxiosError', {\n  value: true\n});\n\n// eslint-disable-next-line func-names\nAxiosError.from = (error, code, config, request, response, customProps) => {\n  const axiosError = Object.create(prototype);\n  _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].toFlatObject(error, axiosError, function filter(obj) {\n    return obj !== Error.prototype;\n  }, prop => {\n    return prop !== 'isAxiosError';\n  });\n  AxiosError.call(axiosError, error.message, code, config, request, response);\n  axiosError.cause = error;\n  axiosError.name = error.name;\n  customProps && Object.assign(axiosError, customProps);\n  return axiosError;\n};\n/* harmony default export */ __webpack_exports__[\"default\"] = (AxiosError);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/core/AxiosError.js?");
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-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var _utils_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../utils.js */ \"./node_modules/axios/lib/utils.js\");\n/* harmony import */ var _helpers_parseHeaders_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../helpers/parseHeaders.js */ \"./node_modules/axios/lib/helpers/parseHeaders.js\");\n\n\n\n\nconst $internals = Symbol('internals');\nfunction normalizeHeader(header) {\n  return header && String(header).trim().toLowerCase();\n}\nfunction normalizeValue(value) {\n  if (value === false || value == null) {\n    return value;\n  }\n  return _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isArray(value) ? value.map(normalizeValue) : String(value);\n}\nfunction parseTokens(str) {\n  const tokens = Object.create(null);\n  const tokensRE = /([^\\s,;=]+)\\s*(?:=\\s*([^,;]+))?/g;\n  let match;\n  while (match = tokensRE.exec(str)) {\n    tokens[match[1]] = match[2];\n  }\n  return tokens;\n}\nfunction isValidHeaderName(str) {\n  return /^[-_a-zA-Z]+$/.test(str.trim());\n}\nfunction matchHeaderValue(context, value, header, filter, isHeaderNameFilter) {\n  if (_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isFunction(filter)) {\n    return filter.call(this, value, header);\n  }\n  if (isHeaderNameFilter) {\n    value = header;\n  }\n  if (!_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isString(value)) return;\n  if (_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isString(filter)) {\n    return value.indexOf(filter) !== -1;\n  }\n  if (_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isRegExp(filter)) {\n    return filter.test(value);\n  }\n}\nfunction formatHeader(header) {\n  return header.trim().toLowerCase().replace(/([a-z\\d])(\\w*)/g, (w, char, str) => {\n    return char.toUpperCase() + str;\n  });\n}\nfunction buildAccessors(obj, header) {\n  const accessorName = _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].toCamelCase(' ' + header);\n  ['get', 'set', 'has'].forEach(methodName => {\n    Object.defineProperty(obj, methodName + accessorName, {\n      value: function (arg1, arg2, arg3) {\n        return this[methodName].call(this, header, arg1, arg2, arg3);\n      },\n      configurable: true\n    });\n  });\n}\nclass AxiosHeaders {\n  constructor(headers) {\n    headers && this.set(headers);\n  }\n  set(header, valueOrRewrite, rewrite) {\n    const self = this;\n    function setHeader(_value, _header, _rewrite) {\n      const lHeader = normalizeHeader(_header);\n      if (!lHeader) {\n        throw new Error('header name must be a non-empty string');\n      }\n      const key = _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].findKey(self, lHeader);\n      if (!key || self[key] === undefined || _rewrite === true || _rewrite === undefined && self[key] !== false) {\n        self[key || _header] = normalizeValue(_value);\n      }\n    }\n    const setHeaders = (headers, _rewrite) => _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].forEach(headers, (_value, _header) => setHeader(_value, _header, _rewrite));\n    if (_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isPlainObject(header) || header instanceof this.constructor) {\n      setHeaders(header, valueOrRewrite);\n    } else if (_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isString(header) && (header = header.trim()) && !isValidHeaderName(header)) {\n      setHeaders((0,_helpers_parseHeaders_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"])(header), valueOrRewrite);\n    } else {\n      header != null && setHeader(valueOrRewrite, header, rewrite);\n    }\n    return this;\n  }\n  get(header, parser) {\n    header = normalizeHeader(header);\n    if (header) {\n      const key = _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].findKey(this, header);\n      if (key) {\n        const value = this[key];\n        if (!parser) {\n          return value;\n        }\n        if (parser === true) {\n          return parseTokens(value);\n        }\n        if (_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isFunction(parser)) {\n          return parser.call(this, value, key);\n        }\n        if (_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isRegExp(parser)) {\n          return parser.exec(value);\n        }\n        throw new TypeError('parser must be boolean|regexp|function');\n      }\n    }\n  }\n  has(header, matcher) {\n    header = normalizeHeader(header);\n    if (header) {\n      const key = _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].findKey(this, header);\n      return !!(key && this[key] !== undefined && (!matcher || matchHeaderValue(this, this[key], key, matcher)));\n    }\n    return false;\n  }\n  delete(header, matcher) {\n    const self = this;\n    let deleted = false;\n    function deleteHeader(_header) {\n      _header = normalizeHeader(_header);\n      if (_header) {\n        const key = _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].findKey(self, _header);\n        if (key && (!matcher || matchHeaderValue(self, self[key], key, matcher))) {\n          delete self[key];\n          deleted = true;\n        }\n      }\n    }\n    if (_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isArray(header)) {\n      header.forEach(deleteHeader);\n    } else {\n      deleteHeader(header);\n    }\n    return deleted;\n  }\n  clear(matcher) {\n    const keys = Object.keys(this);\n    let i = keys.length;\n    let deleted = false;\n    while (i--) {\n      const key = keys[i];\n      if (!matcher || matchHeaderValue(this, this[key], key, matcher, true)) {\n        delete this[key];\n        deleted = true;\n      }\n    }\n    return deleted;\n  }\n  normalize(format) {\n    const self = this;\n    const headers = {};\n    _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].forEach(this, (value, header) => {\n      const key = _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].findKey(headers, header);\n      if (key) {\n        self[key] = normalizeValue(value);\n        delete self[header];\n        return;\n      }\n      const normalized = format ? formatHeader(header) : String(header).trim();\n      if (normalized !== header) {\n        delete self[header];\n      }\n      self[normalized] = normalizeValue(value);\n      headers[normalized] = true;\n    });\n    return this;\n  }\n  concat(...targets) {\n    return this.constructor.concat(this, ...targets);\n  }\n  toJSON(asStrings) {\n    const obj = Object.create(null);\n    _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].forEach(this, (value, header) => {\n      value != null && value !== false && (obj[header] = asStrings && _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isArray(value) ? value.join(', ') : value);\n    });\n    return obj;\n  }\n  [Symbol.iterator]() {\n    return Object.entries(this.toJSON())[Symbol.iterator]();\n  }\n  toString() {\n    return Object.entries(this.toJSON()).map(([header, value]) => header + ': ' + value).join('\\n');\n  }\n  get [Symbol.toStringTag]() {\n    return 'AxiosHeaders';\n  }\n  static from(thing) {\n    return thing instanceof this ? thing : new this(thing);\n  }\n  static concat(first, ...targets) {\n    const computed = new this(first);\n    targets.forEach(target => computed.set(target));\n    return computed;\n  }\n  static accessor(header) {\n    const internals = this[$internals] = this[$internals] = {\n      accessors: {}\n    };\n    const accessors = internals.accessors;\n    const prototype = this.prototype;\n    function defineAccessor(_header) {\n      const lHeader = normalizeHeader(_header);\n      if (!accessors[lHeader]) {\n        buildAccessors(prototype, _header);\n        accessors[lHeader] = true;\n      }\n    }\n    _utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].isArray(header) ? header.forEach(defineAccessor) : defineAccessor(header);\n    return this;\n  }\n}\nAxiosHeaders.accessor(['Content-Type', 'Content-Length', 'Accept', 'Accept-Encoding', 'User-Agent', 'Authorization']);\n_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].freezeMethods(AxiosHeaders.prototype);\n_utils_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].freezeMethods(AxiosHeaders);\n/* harmony default export */ __webpack_exports__[\"default\"] = (AxiosHeaders);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/core/AxiosHeaders.js?");
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-/***/ }),
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-/***/ "./node_modules/axios/lib/core/InterceptorManager.js":
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-  !*** ./node_modules/axios/lib/core/InterceptorManager.js ***!
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-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var core_js_modules_es_array_push_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! core-js/modules/es.array.push.js */ \"./node_modules/core-js/modules/es.array.push.js\");\n/* harmony import */ var _utils_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ./../utils.js */ \"./node_modules/axios/lib/utils.js\");\n\n\n\n\nclass InterceptorManager {\n  constructor() {\n    this.handlers = [];\n  }\n\n  /**\n   * Add a new interceptor to the stack\n   *\n   * @param {Function} fulfilled The function to handle `then` for a `Promise`\n   * @param {Function} rejected The function to handle `reject` for a `Promise`\n   *\n   * @return {Number} An ID used to remove interceptor later\n   */\n  use(fulfilled, rejected, options) {\n    this.handlers.push({\n      fulfilled,\n      rejected,\n      synchronous: options ? options.synchronous : false,\n      runWhen: options ? options.runWhen : null\n    });\n    return this.handlers.length - 1;\n  }\n\n  /**\n   * Remove an interceptor from the stack\n   *\n   * @param {Number} id The ID that was returned by `use`\n   *\n   * @returns {Boolean} `true` if the interceptor was removed, `false` otherwise\n   */\n  eject(id) {\n    if (this.handlers[id]) {\n      this.handlers[id] = null;\n    }\n  }\n\n  /**\n   * Clear all interceptors from the stack\n   *\n   * @returns {void}\n   */\n  clear() {\n    if (this.handlers) {\n      this.handlers = [];\n    }\n  }\n\n  /**\n   * Iterate over all the registered interceptors\n   *\n   * This method is particularly useful for skipping over any\n   * interceptors that may have become `null` calling `eject`.\n   *\n   * @param {Function} fn The function to call for each interceptor\n   *\n   * @returns {void}\n   */\n  forEach(fn) {\n    _utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].forEach(this.handlers, function forEachHandler(h) {\n      if (h !== null) {\n        fn(h);\n      }\n    });\n  }\n}\n/* harmony default export */ __webpack_exports__[\"default\"] = (InterceptorManager);\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/core/InterceptorManager.js?");
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-/***/ }),
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-/***/ "./node_modules/axios/lib/core/buildFullPath.js":
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-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */   \"default\": function() { return /* binding */ buildFullPath; }\n/* harmony export */ });\n/* harmony import */ var _helpers_isAbsoluteURL_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../helpers/isAbsoluteURL.js */ \"./node_modules/axios/lib/helpers/isAbsoluteURL.js\");\n/* harmony import */ var _helpers_combineURLs_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../helpers/combineURLs.js */ \"./node_modules/axios/lib/helpers/combineURLs.js\");\n\n\n\n\n\n/**\n * Creates a new URL by combining the baseURL with the requestedURL,\n * only when the requestedURL is not already an absolute URL.\n * If the requestURL is absolute, this function returns the requestedURL untouched.\n *\n * @param {string} baseURL The base URL\n * @param {string} requestedURL Absolute or relative URL to combine\n *\n * @returns {string} The combined full path\n */\nfunction buildFullPath(baseURL, requestedURL) {\n  if (baseURL && !(0,_helpers_isAbsoluteURL_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"])(requestedURL)) {\n    return (0,_helpers_combineURLs_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"])(baseURL, requestedURL);\n  }\n  return requestedURL;\n}\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/core/buildFullPath.js?");
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-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */   \"default\": function() { return /* binding */ dispatchRequest; }\n/* harmony export */ });\n/* harmony import */ var _transformData_js__WEBPACK_IMPORTED_MODULE_2__ = __webpack_require__(/*! ./transformData.js */ \"./node_modules/axios/lib/core/transformData.js\");\n/* harmony import */ var _cancel_isCancel_js__WEBPACK_IMPORTED_MODULE_5__ = __webpack_require__(/*! ../cancel/isCancel.js */ \"./node_modules/axios/lib/cancel/isCancel.js\");\n/* harmony import */ var _defaults_index_js__WEBPACK_IMPORTED_MODULE_4__ = __webpack_require__(/*! ../defaults/index.js */ \"./node_modules/axios/lib/defaults/index.js\");\n/* harmony import */ var _cancel_CanceledError_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../cancel/CanceledError.js */ \"./node_modules/axios/lib/cancel/CanceledError.js\");\n/* harmony import */ var _core_AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../core/AxiosHeaders.js */ \"./node_modules/axios/lib/core/AxiosHeaders.js\");\n/* harmony import */ var _adapters_adapters_js__WEBPACK_IMPORTED_MODULE_3__ = __webpack_require__(/*! ../adapters/adapters.js */ \"./node_modules/axios/lib/adapters/adapters.js\");\n\n\n\n\n\n\n\n\n\n/**\n * Throws a `CanceledError` if cancellation has been requested.\n *\n * @param {Object} config The config that is to be used for the request\n *\n * @returns {void}\n */\nfunction throwIfCancellationRequested(config) {\n  if (config.cancelToken) {\n    config.cancelToken.throwIfRequested();\n  }\n  if (config.signal && config.signal.aborted) {\n    throw new _cancel_CanceledError_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"](null, config);\n  }\n}\n\n/**\n * Dispatch a request to the server using the configured adapter.\n *\n * @param {object} config The config that is to be used for the request\n *\n * @returns {Promise} The Promise to be fulfilled\n */\nfunction dispatchRequest(config) {\n  throwIfCancellationRequested(config);\n  config.headers = _core_AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].from(config.headers);\n\n  // Transform request data\n  config.data = _transformData_js__WEBPACK_IMPORTED_MODULE_2__[\"default\"].call(config, config.transformRequest);\n  if (['post', 'put', 'patch'].indexOf(config.method) !== -1) {\n    config.headers.setContentType('application/x-www-form-urlencoded', false);\n  }\n  const adapter = _adapters_adapters_js__WEBPACK_IMPORTED_MODULE_3__[\"default\"].getAdapter(config.adapter || _defaults_index_js__WEBPACK_IMPORTED_MODULE_4__[\"default\"].adapter);\n  return adapter(config).then(function onAdapterResolution(response) {\n    throwIfCancellationRequested(config);\n\n    // Transform response data\n    response.data = _transformData_js__WEBPACK_IMPORTED_MODULE_2__[\"default\"].call(config, config.transformResponse, response);\n    response.headers = _core_AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].from(response.headers);\n    return response;\n  }, function onAdapterRejection(reason) {\n    if (!(0,_cancel_isCancel_js__WEBPACK_IMPORTED_MODULE_5__[\"default\"])(reason)) {\n      throwIfCancellationRequested(config);\n\n      // Transform response data\n      if (reason && reason.response) {\n        reason.response.data = _transformData_js__WEBPACK_IMPORTED_MODULE_2__[\"default\"].call(config, config.transformResponse, reason.response);\n        reason.response.headers = _core_AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].from(reason.response.headers);\n      }\n    }\n    return Promise.reject(reason);\n  });\n}\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/core/dispatchRequest.js?");
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-/***/ }),
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-/***/ "./node_modules/axios/lib/core/mergeConfig.js":
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-  !*** ./node_modules/axios/lib/core/mergeConfig.js ***!
-  \****************************************************/
-/***/ (function(__unused_webpack___webpack_module__, __webpack_exports__, __webpack_require__) {
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-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */   \"default\": function() { return /* binding */ mergeConfig; }\n/* harmony export */ });\n/* harmony import */ var _utils_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../utils.js */ \"./node_modules/axios/lib/utils.js\");\n/* harmony import */ var _AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ./AxiosHeaders.js */ \"./node_modules/axios/lib/core/AxiosHeaders.js\");\n\n\n\n\nconst headersToObject = thing => thing instanceof _AxiosHeaders_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"] ? thing.toJSON() : thing;\n\n/**\n * Config-specific merge-function which creates a new config-object\n * by merging two configuration objects together.\n *\n * @param {Object} config1\n * @param {Object} config2\n *\n * @returns {Object} New object resulting from merging config2 to config1\n */\nfunction mergeConfig(config1, config2) {\n  // eslint-disable-next-line no-param-reassign\n  config2 = config2 || {};\n  const config = {};\n  function getMergedValue(target, source, caseless) {\n    if (_utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isPlainObject(target) && _utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isPlainObject(source)) {\n      return _utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].merge.call({\n        caseless\n      }, target, source);\n    } else if (_utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isPlainObject(source)) {\n      return _utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].merge({}, source);\n    } else if (_utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isArray(source)) {\n      return source.slice();\n    }\n    return source;\n  }\n\n  // eslint-disable-next-line consistent-return\n  function mergeDeepProperties(a, b, caseless) {\n    if (!_utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isUndefined(b)) {\n      return getMergedValue(a, b, caseless);\n    } else if (!_utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isUndefined(a)) {\n      return getMergedValue(undefined, a, caseless);\n    }\n  }\n\n  // eslint-disable-next-line consistent-return\n  function valueFromConfig2(a, b) {\n    if (!_utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isUndefined(b)) {\n      return getMergedValue(undefined, b);\n    }\n  }\n\n  // eslint-disable-next-line consistent-return\n  function defaultToConfig2(a, b) {\n    if (!_utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isUndefined(b)) {\n      return getMergedValue(undefined, b);\n    } else if (!_utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isUndefined(a)) {\n      return getMergedValue(undefined, a);\n    }\n  }\n\n  // eslint-disable-next-line consistent-return\n  function mergeDirectKeys(a, b, prop) {\n    if (prop in config2) {\n      return getMergedValue(a, b);\n    } else if (prop in config1) {\n      return getMergedValue(undefined, a);\n    }\n  }\n  const mergeMap = {\n    url: valueFromConfig2,\n    method: valueFromConfig2,\n    data: valueFromConfig2,\n    baseURL: defaultToConfig2,\n    transformRequest: defaultToConfig2,\n    transformResponse: defaultToConfig2,\n    paramsSerializer: defaultToConfig2,\n    timeout: defaultToConfig2,\n    timeoutMessage: defaultToConfig2,\n    withCredentials: defaultToConfig2,\n    adapter: defaultToConfig2,\n    responseType: defaultToConfig2,\n    xsrfCookieName: defaultToConfig2,\n    xsrfHeaderName: defaultToConfig2,\n    onUploadProgress: defaultToConfig2,\n    onDownloadProgress: defaultToConfig2,\n    decompress: defaultToConfig2,\n    maxContentLength: defaultToConfig2,\n    maxBodyLength: defaultToConfig2,\n    beforeRedirect: defaultToConfig2,\n    transport: defaultToConfig2,\n    httpAgent: defaultToConfig2,\n    httpsAgent: defaultToConfig2,\n    cancelToken: defaultToConfig2,\n    socketPath: defaultToConfig2,\n    responseEncoding: defaultToConfig2,\n    validateStatus: mergeDirectKeys,\n    headers: (a, b) => mergeDeepProperties(headersToObject(a), headersToObject(b), true)\n  };\n  _utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].forEach(Object.keys(config1).concat(Object.keys(config2)), function computeConfigValue(prop) {\n    const merge = mergeMap[prop] || mergeDeepProperties;\n    const configValue = merge(config1[prop], config2[prop], prop);\n    _utils_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].isUndefined(configValue) && merge !== mergeDirectKeys || (config[prop] = configValue);\n  });\n  return config;\n}\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/core/mergeConfig.js?");
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-/***/ }),
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-/***/ "./node_modules/axios/lib/core/settle.js":
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-  !*** ./node_modules/axios/lib/core/settle.js ***!
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-
-"use strict";
-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony export */ __webpack_require__.d(__webpack_exports__, {\n/* harmony export */   \"default\": function() { return /* binding */ settle; }\n/* harmony export */ });\n/* harmony import */ var _AxiosError_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ./AxiosError.js */ \"./node_modules/axios/lib/core/AxiosError.js\");\n\n\n\n\n/**\n * Resolve or reject a Promise based on response status.\n *\n * @param {Function} resolve A function that resolves the promise.\n * @param {Function} reject A function that rejects the promise.\n * @param {object} response The response.\n *\n * @returns {object} The response.\n */\nfunction settle(resolve, reject, response) {\n  const validateStatus = response.config.validateStatus;\n  if (!response.status || !validateStatus || validateStatus(response.status)) {\n    resolve(response);\n  } else {\n    reject(new _AxiosError_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"]('Request failed with status code ' + response.status, [_AxiosError_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].ERR_BAD_REQUEST, _AxiosError_js__WEBPACK_IMPORTED_MODULE_0__[\"default\"].ERR_BAD_RESPONSE][Math.floor(response.status / 100) - 4], response.config, response.request, response));\n  }\n}\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/core/settle.js?");
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-eval("__webpack_require__.r(__webpack_exports__);\n/* harmony import */ var _env_data_js__WEBPACK_IMPORTED_MODULE_0__ = __webpack_require__(/*! ../env/data.js */ \"./node_modules/axios/lib/env/data.js\");\n/* harmony import */ var _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_1__ = __webpack_require__(/*! ../core/AxiosError.js */ \"./node_modules/axios/lib/core/AxiosError.js\");\n/* provided dependency */ var console = __webpack_require__(/*! ./node_modules/console-browserify/index.js */ \"./node_modules/console-browserify/index.js\");\n\n\n\n\nconst validators = {};\n\n// eslint-disable-next-line func-names\n['object', 'boolean', 'number', 'function', 'string', 'symbol'].forEach((type, i) => {\n  validators[type] = function validator(thing) {\n    return typeof thing === type || 'a' + (i < 1 ? 'n ' : ' ') + type;\n  };\n});\nconst deprecatedWarnings = {};\n\n/**\n * Transitional option validator\n *\n * @param {function|boolean?} validator - set to false if the transitional option has been removed\n * @param {string?} version - deprecated version / removed since version\n * @param {string?} message - some message with additional info\n *\n * @returns {function}\n */\nvalidators.transitional = function transitional(validator, version, message) {\n  function formatMessage(opt, desc) {\n    return '[Axios v' + _env_data_js__WEBPACK_IMPORTED_MODULE_0__.VERSION + '] Transitional option \\'' + opt + '\\'' + desc + (message ? '. ' + message : '');\n  }\n\n  // eslint-disable-next-line func-names\n  return (value, opt, opts) => {\n    if (validator === false) {\n      throw new _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"](formatMessage(opt, ' has been removed' + (version ? ' in ' + version : '')), _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].ERR_DEPRECATED);\n    }\n    if (version && !deprecatedWarnings[opt]) {\n      deprecatedWarnings[opt] = true;\n      // eslint-disable-next-line no-console\n      console.warn(formatMessage(opt, ' has been deprecated since v' + version + ' and will be removed in the near future'));\n    }\n    return validator ? validator(value, opt, opts) : true;\n  };\n};\n\n/**\n * Assert object's properties type\n *\n * @param {object} options\n * @param {object} schema\n * @param {boolean?} allowUnknown\n *\n * @returns {object}\n */\n\nfunction assertOptions(options, schema, allowUnknown) {\n  if (typeof options !== 'object') {\n    throw new _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"]('options must be an object', _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].ERR_BAD_OPTION_VALUE);\n  }\n  const keys = Object.keys(options);\n  let i = keys.length;\n  while (i-- > 0) {\n    const opt = keys[i];\n    const validator = schema[opt];\n    if (validator) {\n      const value = options[opt];\n      const result = value === undefined || validator(value, opt, options);\n      if (result !== true) {\n        throw new _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"]('option ' + opt + ' must be ' + result, _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].ERR_BAD_OPTION_VALUE);\n      }\n      continue;\n    }\n    if (allowUnknown !== true) {\n      throw new _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"]('Unknown option ' + opt, _core_AxiosError_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"].ERR_BAD_OPTION);\n    }\n  }\n}\n/* harmony default export */ __webpack_exports__[\"default\"] = ({\n  assertOptions,\n  validators\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/helpers/validator.js?");
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-  !*** ./node_modules/axios/lib/platform/browser/classes/Blob.js ***!
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The value to test\n *\n * @returns {boolean} True if value is an Array, otherwise false\n */\nconst {\n  isArray\n} = Array;\n\n/**\n * Determine if a value is undefined\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if the value is undefined, otherwise false\n */\nconst isUndefined = typeOfTest('undefined');\n\n/**\n * Determine if a value is a Buffer\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Buffer, otherwise false\n */\nfunction isBuffer(val) {\n  return val !== null && !isUndefined(val) && val.constructor !== null && !isUndefined(val.constructor) && isFunction(val.constructor.isBuffer) && val.constructor.isBuffer(val);\n}\n\n/**\n * Determine if a value is an ArrayBuffer\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is an ArrayBuffer, otherwise false\n */\nconst isArrayBuffer = kindOfTest('ArrayBuffer');\n\n/**\n * Determine if a value is a view on an ArrayBuffer\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a view on an ArrayBuffer, otherwise false\n */\nfunction isArrayBufferView(val) {\n  let result;\n  if (typeof ArrayBuffer !== 'undefined' && ArrayBuffer.isView) {\n    result = ArrayBuffer.isView(val);\n  } else {\n    result = val && val.buffer && isArrayBuffer(val.buffer);\n  }\n  return result;\n}\n\n/**\n * Determine if a value is a String\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a String, otherwise false\n */\nconst isString = typeOfTest('string');\n\n/**\n * Determine if a value is a Function\n *\n * @param {*} val The value to test\n * @returns {boolean} True if value is a Function, otherwise false\n */\nconst isFunction = typeOfTest('function');\n\n/**\n * Determine if a value is a Number\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Number, otherwise false\n */\nconst isNumber = typeOfTest('number');\n\n/**\n * Determine if a value is an Object\n *\n * @param {*} thing The value to test\n *\n * @returns {boolean} True if value is an Object, otherwise false\n */\nconst isObject = thing => thing !== null && typeof thing === 'object';\n\n/**\n * Determine if a value is a Boolean\n *\n * @param {*} thing The value to test\n * @returns {boolean} True if value is a Boolean, otherwise false\n */\nconst isBoolean = thing => thing === true || thing === false;\n\n/**\n * Determine if a value is a plain Object\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a plain Object, otherwise false\n */\nconst isPlainObject = val => {\n  if (kindOf(val) !== 'object') {\n    return false;\n  }\n  const prototype = getPrototypeOf(val);\n  return (prototype === null || prototype === Object.prototype || Object.getPrototypeOf(prototype) === null) && !(Symbol.toStringTag in val) && !(Symbol.iterator in val);\n};\n\n/**\n * Determine if a value is a Date\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Date, otherwise false\n */\nconst isDate = kindOfTest('Date');\n\n/**\n * Determine if a value is a File\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a File, otherwise false\n */\nconst isFile = kindOfTest('File');\n\n/**\n * Determine if a value is a Blob\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Blob, otherwise false\n */\nconst isBlob = kindOfTest('Blob');\n\n/**\n * Determine if a value is a FileList\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a File, otherwise false\n */\nconst isFileList = kindOfTest('FileList');\n\n/**\n * Determine if a value is a Stream\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a Stream, otherwise false\n */\nconst isStream = val => isObject(val) && isFunction(val.pipe);\n\n/**\n * Determine if a value is a FormData\n *\n * @param {*} 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is an Array callback will be called passing\n * the value, index, and complete array for each item.\n *\n * If 'obj' is an Object callback will be called passing\n * the value, key, and complete object for each property.\n *\n * @param {Object|Array} obj The object to iterate\n * @param {Function} fn The callback to invoke for each item\n *\n * @param {Boolean} [allOwnKeys = false]\n * @returns {any}\n */\nfunction forEach(obj, fn, {\n  allOwnKeys = false\n} = {}) {\n  // Don't bother if no value provided\n  if (obj === null || typeof obj === 'undefined') {\n    return;\n  }\n  let i;\n  let l;\n\n  // Force an array if not already something iterable\n  if (typeof obj !== 'object') {\n    /*eslint no-param-reassign:0*/\n    obj = [obj];\n  }\n  if (isArray(obj)) {\n    // Iterate over array values\n    for (i = 0, l = obj.length; i < l; i++) {\n      fn.call(null, obj[i], i, obj);\n    }\n  } else {\n    // Iterate over object keys\n    const keys = allOwnKeys ? Object.getOwnPropertyNames(obj) : Object.keys(obj);\n    const len = keys.length;\n    let key;\n    for (i = 0; i < len; i++) {\n      key = keys[i];\n      fn.call(null, obj[key], key, obj);\n    }\n  }\n}\nfunction findKey(obj, key) {\n  key = key.toLowerCase();\n  const keys = Object.keys(obj);\n  let i = keys.length;\n  let _key;\n  while (i-- > 0) {\n    _key = keys[i];\n    if (key === _key.toLowerCase()) {\n      return _key;\n    }\n  }\n  return null;\n}\nconst _global = (() => {\n  /*eslint no-undef:0*/\n  if (typeof globalThis !== \"undefined\") return globalThis;\n  return typeof self !== \"undefined\" ? self : typeof window !== 'undefined' ? window : global;\n})();\nconst isContextDefined = context => !isUndefined(context) && context !== _global;\n\n/**\n * Accepts varargs expecting each argument to be an object, then\n * immutably merges the properties of each object and returns result.\n *\n * When multiple objects contain the same key the later object in\n * the arguments list will take precedence.\n *\n * Example:\n *\n * ```js\n * var result = merge({foo: 123}, {foo: 456});\n * console.log(result.foo); // outputs 456\n * ```\n *\n * @param {Object} obj1 Object to merge\n *\n * @returns {Object} Result of all merge properties\n */\nfunction merge( /* obj1, obj2, obj3, ... */\n) {\n  const {\n    caseless\n  } = isContextDefined(this) && this || {};\n  const result = {};\n  const assignValue = (val, key) => {\n    const targetKey = caseless && findKey(result, key) || key;\n    if (isPlainObject(result[targetKey]) && isPlainObject(val)) {\n      result[targetKey] = merge(result[targetKey], val);\n    } else if (isPlainObject(val)) {\n      result[targetKey] = merge({}, val);\n    } else if (isArray(val)) {\n      result[targetKey] = val.slice();\n    } else {\n      result[targetKey] = val;\n    }\n  };\n  for (let i = 0, l = arguments.length; i < l; i++) {\n    arguments[i] && forEach(arguments[i], assignValue);\n  }\n  return result;\n}\n\n/**\n * Extends object a by mutably adding to it the properties of object b.\n *\n * @param {Object} a The object to be extended\n * @param {Object} b The object to copy properties from\n * @param {Object} thisArg The object to bind function to\n *\n * @param {Boolean} [allOwnKeys]\n * @returns {Object} The resulting value of object a\n */\nconst extend = (a, b, thisArg, {\n  allOwnKeys\n} = {}) => {\n  forEach(b, (val, key) => {\n    if (thisArg && isFunction(val)) {\n      a[key] = (0,_helpers_bind_js__WEBPACK_IMPORTED_MODULE_1__[\"default\"])(val, thisArg);\n    } else {\n      a[key] = val;\n    }\n  }, {\n    allOwnKeys\n  });\n  return a;\n};\n\n/**\n * Remove byte order marker. This catches EF BB BF (the UTF-8 BOM)\n *\n * @param {string} content with BOM\n *\n * @returns {string} content value without BOM\n */\nconst stripBOM = content => {\n  if (content.charCodeAt(0) === 0xFEFF) {\n    content = content.slice(1);\n  }\n  return content;\n};\n\n/**\n * Inherit the prototype methods from one constructor into another\n * @param {function} constructor\n * @param {function} superConstructor\n * @param {object} [props]\n * @param {object} [descriptors]\n *\n * @returns {void}\n */\nconst inherits = (constructor, superConstructor, props, descriptors) => {\n  constructor.prototype = Object.create(superConstructor.prototype, descriptors);\n  constructor.prototype.constructor = constructor;\n  Object.defineProperty(constructor, 'super', {\n    value: superConstructor.prototype\n  });\n  props && Object.assign(constructor.prototype, props);\n};\n\n/**\n * Resolve object with deep prototype chain to a flat object\n * @param {Object} sourceObj source object\n * @param {Object} [destObj]\n * @param {Function|Boolean} [filter]\n * @param {Function} [propFilter]\n *\n * @returns {Object}\n */\nconst toFlatObject = (sourceObj, destObj, filter, propFilter) => {\n  let props;\n  let i;\n  let prop;\n  const merged = {};\n  destObj = destObj || {};\n  // eslint-disable-next-line no-eq-null,eqeqeq\n  if (sourceObj == null) return destObj;\n  do {\n    props = Object.getOwnPropertyNames(sourceObj);\n    i = props.length;\n    while (i-- > 0) {\n      prop = props[i];\n      if ((!propFilter || propFilter(prop, sourceObj, destObj)) && !merged[prop]) {\n        destObj[prop] = sourceObj[prop];\n        merged[prop] = true;\n      }\n    }\n    sourceObj = filter !== false && getPrototypeOf(sourceObj);\n  } while (sourceObj && (!filter || filter(sourceObj, destObj)) && sourceObj !== Object.prototype);\n  return destObj;\n};\n\n/**\n * Determines whether a string ends with the characters of a specified string\n *\n * @param {String} str\n * @param {String} searchString\n * @param {Number} [position= 0]\n *\n * @returns {boolean}\n */\nconst endsWith = (str, searchString, position) => {\n  str = String(str);\n  if (position === undefined || position > str.length) {\n    position = str.length;\n  }\n  position -= searchString.length;\n  const lastIndex = str.indexOf(searchString, position);\n  return lastIndex !== -1 && lastIndex === position;\n};\n\n/**\n * Returns new array from array like object or null if failed\n *\n * @param {*} [thing]\n *\n * @returns {?Array}\n */\nconst toArray = thing => {\n  if (!thing) return null;\n  if (isArray(thing)) return thing;\n  let i = thing.length;\n  if (!isNumber(i)) return null;\n  const arr = new Array(i);\n  while (i-- > 0) {\n    arr[i] = thing[i];\n  }\n  return arr;\n};\n\n/**\n * Checking if the Uint8Array exists and if it does, it returns a function that checks if the\n * thing passed in is an instance of Uint8Array\n *\n * @param {TypedArray}\n *\n * @returns {Array}\n */\n// eslint-disable-next-line func-names\nconst isTypedArray = (TypedArray => {\n  // eslint-disable-next-line func-names\n  return thing => {\n    return TypedArray && thing instanceof TypedArray;\n  };\n})(typeof Uint8Array !== 'undefined' && getPrototypeOf(Uint8Array));\n\n/**\n * For each entry in the object, call the function with the key and value.\n *\n * @param {Object<any, any>} obj - The object to iterate over.\n * @param {Function} fn - The function to call for each entry.\n *\n * @returns {void}\n */\nconst forEachEntry = (obj, fn) => {\n  const generator = obj && obj[Symbol.iterator];\n  const iterator = generator.call(obj);\n  let result;\n  while ((result = iterator.next()) && !result.done) {\n    const pair = result.value;\n    fn.call(obj, pair[0], pair[1]);\n  }\n};\n\n/**\n * It takes a regular expression and a string, and returns an array of all the matches\n *\n * @param {string} regExp - The regular expression to match against.\n * @param {string} str - The string to search.\n *\n * @returns {Array<boolean>}\n */\nconst matchAll = (regExp, str) => {\n  let matches;\n  const arr = [];\n  while ((matches = regExp.exec(str)) !== null) {\n    arr.push(matches);\n  }\n  return arr;\n};\n\n/* Checking if the kindOfTest function returns true when passed an HTMLFormElement. */\nconst isHTMLForm = kindOfTest('HTMLFormElement');\nconst toCamelCase = str => {\n  return str.toLowerCase().replace(/[-_\\s]([a-z\\d])(\\w*)/g, function replacer(m, p1, p2) {\n    return p1.toUpperCase() + p2;\n  });\n};\n\n/* Creating a function that will check if an object has a property. */\nconst hasOwnProperty = (({\n  hasOwnProperty\n}) => (obj, prop) => hasOwnProperty.call(obj, prop))(Object.prototype);\n\n/**\n * Determine if a value is a RegExp object\n *\n * @param {*} val The value to test\n *\n * @returns {boolean} True if value is a RegExp object, otherwise false\n */\nconst isRegExp = kindOfTest('RegExp');\nconst reduceDescriptors = (obj, reducer) => {\n  const descriptors = Object.getOwnPropertyDescriptors(obj);\n  const reducedDescriptors = {};\n  forEach(descriptors, (descriptor, name) => {\n    if (reducer(descriptor, name, obj) !== false) {\n      reducedDescriptors[name] = descriptor;\n    }\n  });\n  Object.defineProperties(obj, reducedDescriptors);\n};\n\n/**\n * Makes all methods read-only\n * @param {Object} obj\n */\n\nconst freezeMethods = obj => {\n  reduceDescriptors(obj, (descriptor, name) => {\n    // skip restricted props in strict mode\n    if (isFunction(obj) && ['arguments', 'caller', 'callee'].indexOf(name) !== -1) {\n      return false;\n    }\n    const value = obj[name];\n    if (!isFunction(value)) return;\n    descriptor.enumerable = false;\n    if ('writable' in descriptor) {\n      descriptor.writable = false;\n      return;\n    }\n    if (!descriptor.set) {\n      descriptor.set = () => {\n        throw Error('Can not rewrite read-only method \\'' + name + '\\'');\n      };\n    }\n  });\n};\nconst toObjectSet = (arrayOrString, delimiter) => {\n  const obj = {};\n  const define = arr => {\n    arr.forEach(value => {\n      obj[value] = true;\n    });\n  };\n  isArray(arrayOrString) ? define(arrayOrString) : define(String(arrayOrString).split(delimiter));\n  return obj;\n};\nconst noop = () => {};\nconst toFiniteNumber = (value, defaultValue) => {\n  value = +value;\n  return Number.isFinite(value) ? value : defaultValue;\n};\nconst ALPHA = 'abcdefghijklmnopqrstuvwxyz';\nconst DIGIT = '0123456789';\nconst ALPHABET = {\n  DIGIT,\n  ALPHA,\n  ALPHA_DIGIT: ALPHA + ALPHA.toUpperCase() + DIGIT\n};\nconst generateString = (size = 16, alphabet = ALPHABET.ALPHA_DIGIT) => {\n  let str = '';\n  const {\n    length\n  } = alphabet;\n  while (size--) {\n    str += alphabet[Math.random() * length | 0];\n  }\n  return str;\n};\n\n/**\n * If the thing is a FormData object, return true, otherwise return false.\n *\n * @param {unknown} thing - The thing to check.\n *\n * @returns {boolean}\n */\nfunction isSpecCompliantForm(thing) {\n  return !!(thing && isFunction(thing.append) && thing[Symbol.toStringTag] === 'FormData' && thing[Symbol.iterator]);\n}\nconst toJSONObject = obj => {\n  const stack = new Array(10);\n  const visit = (source, i) => {\n    if (isObject(source)) {\n      if (stack.indexOf(source) >= 0) {\n        return;\n      }\n      if (!('toJSON' in source)) {\n        stack[i] = source;\n        const target = isArray(source) ? [] : {};\n        forEach(source, (value, key) => {\n          const reducedValue = visit(value, i + 1);\n          !isUndefined(reducedValue) && (target[key] = reducedValue);\n        });\n        stack[i] = undefined;\n        return target;\n      }\n    }\n    return source;\n  };\n  return visit(obj, 0);\n};\n/* harmony default export */ __webpack_exports__[\"default\"] = ({\n  isArray,\n  isArrayBuffer,\n  isBuffer,\n  isFormData,\n  isArrayBufferView,\n  isString,\n  isNumber,\n  isBoolean,\n  isObject,\n  isPlainObject,\n  isUndefined,\n  isDate,\n  isFile,\n  isBlob,\n  isRegExp,\n  isFunction,\n  isStream,\n  isURLSearchParams,\n  isTypedArray,\n  isFileList,\n  forEach,\n  merge,\n  extend,\n  trim,\n  stripBOM,\n  inherits,\n  toFlatObject,\n  kindOf,\n  kindOfTest,\n  endsWith,\n  toArray,\n  forEachEntry,\n  matchAll,\n  isHTMLForm,\n  hasOwnProperty,\n  hasOwnProp: hasOwnProperty,\n  // an alias to avoid ESLint no-prototype-builtins detection\n  reduceDescriptors,\n  freezeMethods,\n  toObjectSet,\n  toCamelCase,\n  noop,\n  toFiniteNumber,\n  findKey,\n  global: _global,\n  isContextDefined,\n  ALPHABET,\n  generateString,\n  isSpecCompliantForm,\n  toJSONObject\n});\n\n//# sourceURL=webpack://JCM-AI/./node_modules/axios/lib/utils.js?");
-
-/***/ }),
-
-/***/ "./node_modules/openai/package.json":
-/*!******************************************!*\
-  !*** ./node_modules/openai/package.json ***!
-  \******************************************/
-/***/ (function(module) {
-
-"use strict";
-eval("module.exports = JSON.parse('{\"name\":\"openai\",\"version\":\"3.2.1\",\"description\":\"Node.js library for the OpenAI API\",\"repository\":{\"type\":\"git\",\"url\":\"git@github.com:openai/openai-node.git\"},\"keywords\":[\"openai\",\"open\",\"ai\",\"gpt-3\",\"gpt3\"],\"author\":\"OpenAI\",\"license\":\"MIT\",\"main\":\"./dist/index.js\",\"types\":\"./dist/index.d.ts\",\"scripts\":{\"build\":\"tsc --outDir dist/\"},\"dependencies\":{\"axios\":\"^0.26.0\",\"form-data\":\"^4.0.0\"},\"devDependencies\":{\"@types/node\":\"^12.11.5\",\"typescript\":\"^3.6.4\"}}');\n\n//# sourceURL=webpack://JCM-AI/./node_modules/openai/package.json?");
-
-/***/ })
-
-}]);
\ No newline at end of file
diff --git a/spaces/ho11laqe/nnUNet_calvingfront_detection/nnunet/dataset_conversion/Task027_AutomaticCardiacDetectionChallenge.py b/spaces/ho11laqe/nnUNet_calvingfront_detection/nnunet/dataset_conversion/Task027_AutomaticCardiacDetectionChallenge.py
deleted file mode 100644
index 2dface40a494faef3c43a4e9b72f80d9d2f8ba45..0000000000000000000000000000000000000000
--- a/spaces/ho11laqe/nnUNet_calvingfront_detection/nnunet/dataset_conversion/Task027_AutomaticCardiacDetectionChallenge.py
+++ /dev/null
@@ -1,106 +0,0 @@
-#    Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
-#
-#    Licensed under the Apache License, Version 2.0 (the "License");
-#    you may not use this file except in compliance with the License.
-#    You may obtain a copy of the License at
-#
-#        http://www.apache.org/licenses/LICENSE-2.0
-#
-#    Unless required by applicable law or agreed to in writing, software
-#    distributed under the License is distributed on an "AS IS" BASIS,
-#    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-#    See the License for the specific language governing permissions and
-#    limitations under the License.
-
-from collections import OrderedDict
-from batchgenerators.utilities.file_and_folder_operations import *
-import shutil
-import numpy as np
-from sklearn.model_selection import KFold
-
-
-def convert_to_submission(source_dir, target_dir):
-    niftis = subfiles(source_dir, join=False, suffix=".nii.gz")
-    patientids = np.unique([i[:10] for i in niftis])
-    maybe_mkdir_p(target_dir)
-    for p in patientids:
-        files_of_that_patient = subfiles(source_dir, prefix=p, suffix=".nii.gz", join=False)
-        assert len(files_of_that_patient)
-        files_of_that_patient.sort()
-        # first is ED, second is ES
-        shutil.copy(join(source_dir, files_of_that_patient[0]), join(target_dir, p + "_ED.nii.gz"))
-        shutil.copy(join(source_dir, files_of_that_patient[1]), join(target_dir, p + "_ES.nii.gz"))
-
-
-if __name__ == "__main__":
-    folder = "/media/fabian/My Book/datasets/ACDC/training"
-    folder_test = "/media/fabian/My Book/datasets/ACDC/testing/testing"
-    out_folder = "/media/fabian/My Book/MedicalDecathlon/MedicalDecathlon_raw_splitted/Task027_ACDC"
-
-    maybe_mkdir_p(join(out_folder, "imagesTr"))
-    maybe_mkdir_p(join(out_folder, "imagesTs"))
-    maybe_mkdir_p(join(out_folder, "labelsTr"))
-
-    # train
-    all_train_files = []
-    patient_dirs_train = subfolders(folder, prefix="patient")
-    for p in patient_dirs_train:
-        current_dir = p
-        data_files_train = [i for i in subfiles(current_dir, suffix=".nii.gz") if i.find("_gt") == -1 and i.find("_4d") == -1]
-        corresponding_seg_files = [i[:-7] + "_gt.nii.gz" for i in data_files_train]
-        for d, s in zip(data_files_train, corresponding_seg_files):
-            patient_identifier = d.split("/")[-1][:-7]
-            all_train_files.append(patient_identifier + "_0000.nii.gz")
-            shutil.copy(d, join(out_folder, "imagesTr", patient_identifier + "_0000.nii.gz"))
-            shutil.copy(s, join(out_folder, "labelsTr", patient_identifier + ".nii.gz"))
-
-    # test
-    all_test_files = []
-    patient_dirs_test = subfolders(folder_test, prefix="patient")
-    for p in patient_dirs_test:
-        current_dir = p
-        data_files_test = [i for i in subfiles(current_dir, suffix=".nii.gz") if i.find("_gt") == -1 and i.find("_4d") == -1]
-        for d in data_files_test:
-            patient_identifier = d.split("/")[-1][:-7]
-            all_test_files.append(patient_identifier + "_0000.nii.gz")
-            shutil.copy(d, join(out_folder, "imagesTs", patient_identifier + "_0000.nii.gz"))
-
-
-    json_dict = OrderedDict()
-    json_dict['name'] = "ACDC"
-    json_dict['description'] = "cardias cine MRI segmentation"
-    json_dict['tensorImageSize'] = "4D"
-    json_dict['reference'] = "see ACDC challenge"
-    json_dict['licence'] = "see ACDC challenge"
-    json_dict['release'] = "0.0"
-    json_dict['modality'] = {
-        "0": "MRI",
-    }
-    json_dict['labels'] = {
-        "0": "background",
-        "1": "RV",
-        "2": "MLV",
-        "3": "LVC"
-    }
-    json_dict['numTraining'] = len(all_train_files)
-    json_dict['numTest'] = len(all_test_files)
-    json_dict['training'] = [{'image': "./imagesTr/%s.nii.gz" % i.split("/")[-1][:-12], "label": "./labelsTr/%s.nii.gz" % i.split("/")[-1][:-12]} for i in
-                             all_train_files]
-    json_dict['test'] = ["./imagesTs/%s.nii.gz" % i.split("/")[-1][:-12] for i in all_test_files]
-
-    save_json(json_dict, os.path.join(out_folder, "dataset.json"))
-
-    # create a dummy split (patients need to be separated)
-    splits = []
-    patients = np.unique([i[:10] for i in all_train_files])
-    patientids = [i[:-12] for i in all_train_files]
-
-    kf = KFold(5, True, 12345)
-    for tr, val in kf.split(patients):
-        splits.append(OrderedDict())
-        tr_patients = patients[tr]
-        splits[-1]['train'] = [i[:-12] for i in all_train_files if i[:10] in tr_patients]
-        val_patients = patients[val]
-        splits[-1]['val'] = [i[:-12] for i in all_train_files if i[:10] in val_patients]
-
-    save_pickle(splits, "/media/fabian/nnunet/Task027_ACDC/splits_final.pkl")
\ No newline at end of file
diff --git a/spaces/ho11laqe/nnUNet_calvingfront_detection/nnunet/training/network_training/nnUNet_variants/architectural_variants/nnUNetTrainerV2_3ConvPerStage_samefilters.py b/spaces/ho11laqe/nnUNet_calvingfront_detection/nnunet/training/network_training/nnUNet_variants/architectural_variants/nnUNetTrainerV2_3ConvPerStage_samefilters.py
deleted file mode 100644
index a5065988998e407c9a276ad85ae2e7d1a0ea935c..0000000000000000000000000000000000000000
--- a/spaces/ho11laqe/nnUNet_calvingfront_detection/nnunet/training/network_training/nnUNet_variants/architectural_variants/nnUNetTrainerV2_3ConvPerStage_samefilters.py
+++ /dev/null
@@ -1,45 +0,0 @@
-#    Copyright 2020 Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany
-#
-#    Licensed under the Apache License, Version 2.0 (the "License");
-#    you may not use this file except in compliance with the License.
-#    You may obtain a copy of the License at
-#
-#        http://www.apache.org/licenses/LICENSE-2.0
-#
-#    Unless required by applicable law or agreed to in writing, software
-#    distributed under the License is distributed on an "AS IS" BASIS,
-#    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-#    See the License for the specific language governing permissions and
-#    limitations under the License.
-import torch
-from nnunet.network_architecture.generic_UNet import Generic_UNet
-from nnunet.network_architecture.initialization import InitWeights_He
-from nnunet.training.network_training.nnUNetTrainerV2 import nnUNetTrainerV2
-from nnunet.utilities.nd_softmax import softmax_helper
-from torch import nn
-
-
-class nnUNetTrainerV2_3ConvPerStageSameFilters(nnUNetTrainerV2):
-    def initialize_network(self):
-        if self.threeD:
-            conv_op = nn.Conv3d
-            dropout_op = nn.Dropout3d
-            norm_op = nn.InstanceNorm3d
-
-        else:
-            conv_op = nn.Conv2d
-            dropout_op = nn.Dropout2d
-            norm_op = nn.InstanceNorm2d
-
-        norm_op_kwargs = {'eps': 1e-5, 'affine': True}
-        dropout_op_kwargs = {'p': 0, 'inplace': True}
-        net_nonlin = nn.LeakyReLU
-        net_nonlin_kwargs = {'negative_slope': 1e-2, 'inplace': True}
-        self.network = Generic_UNet(self.num_input_channels, self.base_num_features, self.num_classes,
-                                    len(self.net_num_pool_op_kernel_sizes),
-                                    3, 2, conv_op, norm_op, norm_op_kwargs, dropout_op, dropout_op_kwargs,
-                                    net_nonlin, net_nonlin_kwargs, True, False, lambda x: x, InitWeights_He(1e-2),
-                                    self.net_num_pool_op_kernel_sizes, self.net_conv_kernel_sizes, False, True, True)
-        if torch.cuda.is_available():
-            self.network.cuda()
-        self.network.inference_apply_nonlin = softmax_helper
diff --git a/spaces/hugging-fellows/img-to-music/app.py b/spaces/hugging-fellows/img-to-music/app.py
deleted file mode 100644
index 6fe764aa6ac7777137ac18718e8878e7bfcb81eb..0000000000000000000000000000000000000000
--- a/spaces/hugging-fellows/img-to-music/app.py
+++ /dev/null
@@ -1,158 +0,0 @@
-import time
-import base64
-import gradio as gr
-from sentence_transformers import SentenceTransformer
-
-import httpx
-import json
-
-import os
-import requests
-import urllib
-
-from os import path
-from pydub import AudioSegment
-
-#img_to_text = gr.Blocks.load(name="spaces/pharma/CLIP-Interrogator")
-img_to_text = gr.Blocks.load(name="spaces/fffiloni/CLIP-Interrogator-2")
-
-from share_btn import community_icon_html, loading_icon_html, share_js
-
-def get_prompts(uploaded_image, track_duration, gen_intensity, gen_mode):
-  print("calling clip interrogator")
-  #prompt = img_to_text(uploaded_image, "ViT-L (best for Stable Diffusion 1.*)", "fast", fn_index=1)[0]
-  prompt = img_to_text(uploaded_image, 'fast', 4, fn_index=1)[0]
-  print(prompt)
-  music_result = generate_track_by_prompt(prompt, track_duration, gen_intensity, gen_mode)
-  print(music_result)
-  return music_result[0], gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
-
-from utils import get_tags_for_prompts, get_mubert_tags_embeddings, get_pat
-
-minilm = SentenceTransformer('all-MiniLM-L6-v2')
-mubert_tags_embeddings = get_mubert_tags_embeddings(minilm)
-
-
-def get_track_by_tags(tags, pat, duration, gen_intensity, gen_mode, maxit=20):
-    
-    r = httpx.post('https://api-b2b.mubert.com/v2/RecordTrackTTM',
-                   json={
-                       "method": "RecordTrackTTM",
-                       "params": {
-                           "pat": pat,
-                           "duration": duration,
-                           "format": "wav",
-                           "intensity":gen_intensity,
-                           "tags": tags,
-                           "mode": gen_mode
-                       }
-                   })
-
-    rdata = json.loads(r.text)
-    assert rdata['status'] == 1, rdata['error']['text']
-    trackurl = rdata['data']['tasks'][0]['download_link']
-
-    print('Generating track ', end='')
-    for i in range(maxit):
-        r = httpx.get(trackurl)
-        if r.status_code == 200:
-            return trackurl
-        time.sleep(1)
-
-
-def generate_track_by_prompt(prompt, duration, gen_intensity, gen_mode):
-    try:
-        pat = get_pat("prodia@prodia.com")
-        _, tags = get_tags_for_prompts(minilm, mubert_tags_embeddings, [prompt, ])[0]
-        result = get_track_by_tags(tags, pat, int(duration), gen_intensity, gen_mode)
-        print(result)
-        return result, ",".join(tags), "Success"
-    except Exception as e:
-        return None, "", str(e)
-
-def convert_mp3_to_wav(mp3_filepath):
- 
-  url = mp3_filepath
-  save_as = "file.mp3"
-  
-  data = urllib.request.urlopen(url)
-
-  f = open(save_as,'wb')
-  f.write(data.read())
-  f.close()
-  
-  wave_file="file.wav"
-  
-  sound = AudioSegment.from_mp3(save_as)
-  sound.export(wave_file, format="wav")
-  
-  return wave_file
-
-article = """
-    
-    <div class="footer">
-        <p>
-         
-        Follow <a href="https://twitter.com/fffiloni" target="_blank">Sylvain Filoni</a> for future updates 🤗
-        </p>
-    </div>
-    
-    <div id="may-like-container" style="display: flex;justify-content: center;flex-direction: column;align-items: center;margin-bottom: 30px;">
-        <p style="font-size: 0.8em;margin-bottom: 4px;">You may also like: </p>
-        <div id="may-like" style="display: flex;flex-wrap: wrap;align-items: center;height: 20px;">
-            <svg height="20" width="122" style="margin-left:4px;margin-bottom: 6px;">       
-                 <a href="https://huggingface.co/spaces/fffiloni/spectrogram-to-music" target="_blank">
-                    <image href="https://img.shields.io/badge/🤗 Spaces-Riffusion-blue" src="https://img.shields.io/badge/🤗 Spaces-Riffusion-blue.png" height="20"/>
-                 </a>
-            </svg>
-        </div>
-    </div>
-
-    
-"""
-
-with gr.Blocks(css="style.css") as demo:
-    with gr.Column(elem_id="col-container"):
-        
-        gr.HTML("""<div style="text-align: center; max-width: 700px; margin: 0 auto;">
-                <div
-                style="
-                    display: inline-flex;
-                    align-items: center;
-                    gap: 0.8rem;
-                    font-size: 1.75rem;
-                "
-                >
-                <h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
-                    Image to Music
-                </h1>
-                </div>
-                <p style="margin-bottom: 10px; font-size: 94%">
-                Sends an image in to <a href="https://huggingface.co/spaces/pharma/CLIP-Interrogator" target="_blank">CLIP Interrogator</a>
-                to generate a text prompt which is then run through 
-                <a href="https://huggingface.co/Mubert" target="_blank">Mubert</a> text-to-music to generate music from the input image!
-                </p>
-            </div>""")
-    
-        input_img = gr.Image(type="filepath", elem_id="input-img")
-        music_output = gr.Audio(label="Result", type="filepath", elem_id="music-output").style(height="5rem")
-        
-        with gr.Group(elem_id="share-btn-container"):
-            community_icon = gr.HTML(community_icon_html, visible=False)
-            loading_icon = gr.HTML(loading_icon_html, visible=False)
-            share_button = gr.Button("Share to community", elem_id="share-btn", visible=False)
-
-        with gr.Accordion(label="Music Generation Options", open=False):
-            track_duration = gr.Slider(minimum=20, maximum=120, value=30, step=5, label="Track duration", elem_id="duration-inp")
-            with gr.Row():
-                gen_intensity = gr.Dropdown(choices=["low", "medium", "high"], value="medium", label="Intensity")
-                gen_mode = gr.Radio(label="mode", choices=["track", "loop"], value="track")
-        
-        generate = gr.Button("Generate Music from Image")
-
-        gr.HTML(article)
-    
-    generate.click(get_prompts, inputs=[input_img,track_duration,gen_intensity,gen_mode], outputs=[music_output, share_button, community_icon, loading_icon], api_name="i2m")
-    share_button.click(None, [], [], _js=share_js)
-
-demo.queue(max_size=32, concurrency_count=20).launch()
\ No newline at end of file
diff --git a/spaces/huggingface/text-data-filtering/parameters_filtering.py b/spaces/huggingface/text-data-filtering/parameters_filtering.py
deleted file mode 100644
index 1a992a8d10512da8c416640d956deff47a8f2ce7..0000000000000000000000000000000000000000
--- a/spaces/huggingface/text-data-filtering/parameters_filtering.py
+++ /dev/null
@@ -1,895 +0,0 @@
-import string
-import emoji
-
-
-main_special_characters = string.punctuation + string.digits + string.whitespace
-other_special_characters = (
-    "’ “— ™ – •‘œ　   ˜ ‚ƒ„’“”–ー一▬…✦�­£​•€«»°·═"
-    "×士＾˘⇓↓↑←→（）§″′´¿−±∈¢ø‚„½¼¾¹²³―⁃，ˌ¸‹›ʺˈʻ¦‐⠀‰……‑≤≥‖"
-    "◆●■►▼▲▴∆▻¡★☆✱ːº。¯˜¥ɪ≈†上ン：∼⁄・♡✓⊕․．⋅÷１‟；،、¨ाাी्े◦˚"
-    "゜ʼ≖ʼ¤ッツシ℃√！【】‿∞➤～πه۩☛₨➩☻๑٪♥ıॽ《‘©﴿٬？▷Г♫∟™ª₪®「—❖"
-    "」﴾》"
-)
-emoji = list(emoji.UNICODE_EMOJI["en"].keys())
-
-special_characters_default = set(main_special_characters + other_special_characters)
-special_characters_default.update(emoji)
-
-
-parameters_filtering_default = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": False,
-    "length_word_max_cutoff": 50,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.4,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": False,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.70,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_af = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 25,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.3,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.6,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_ar = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 25,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.45,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 1000000,
-}
-
-parameters_filtering_arz = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 25,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.5,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_as = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 25,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.25,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_bn = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.275,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0.05,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 575000,
-}
-
-parameters_filtering_ca = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.35,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 1750000,
-}
-
-parameters_filtering_en = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": True,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 25,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 20,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.4,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0.3,
-    "cond_check_flagged_words": True,
-    "flagged_words_max_cutoff": 0.045,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.80,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 2500,
-}
-
-parameters_filtering_es = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.3,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0.2,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 2500000,
-}
-
-parameters_filtering_eu = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 35,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.3,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_fr = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.35,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0.15,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_gu = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.3,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 250000,
-}
-
-parameters_filtering_hi = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 25,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.35,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 600000,
-}
-
-parameters_filtering_id = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.25,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0.25,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 2500000,
-}
-
-parameters_filtering_kn = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 50,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.25,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 400000,
-}
-
-parameters_filtering_ml = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 50,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.2,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 1600000,
-}
-
-parameters_filtering_mr = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.25,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 425000,
-}
-
-parameters_filtering_pt = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.3,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0.15,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": True,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_sw = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.275,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_ta = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 50,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.25,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_te = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 35,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.25,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_ur = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.4,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_vi = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.35,
-    "cond_words_augmentation": True,
-    "words_augmentation_group_sizes": [2],
-    "words_augmentation_join_char": " ",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_yo = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": True,
-    "length_word_max_cutoff": 30,
-    "cond_check_number_words": True,
-    "tokenization": False,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.3,
-    "cond_words_augmentation": False,
-    "words_augmentation_group_sizes": [],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": True,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering_zh = {
-    "cond_uniform_whitespace": True,
-    "cond_replace_unicode_punctuation": False,
-    "cond_remove_words_with_incorrect_substrings": False,
-    "incorrect_word_substrings": ["http", "www", ".com", "href", "//"],
-    "cond_remove_long_words": False,
-    "length_word_max_cutoff": 1000,
-    "cond_check_number_words": True,
-    "tokenization": True,
-    "strip_characters": special_characters_default,
-    "number_words_min_cutoff": 1,
-    "number_words_max_cutoff": 100000,
-    "cond_check_character_repetition_removal": True,
-    "character_repetition_length": 10,
-    "character_repetition_max_cutoff": 0.106,
-    "cond_check_word_repetition_removal": True,
-    "word_repetition_length": 5,
-    "word_repetition_max_cutoff": 0.19,
-    "cond_check_special_characters": True,
-    "special_characters": special_characters_default,
-    "special_characters_max_cutoff": 0.4,
-    "cond_words_augmentation": True,
-    "words_augmentation_group_sizes": [2],
-    "words_augmentation_join_char": "",
-    "cond_check_stopwords": False,
-    "stopwords_min_cutoff": 0,
-    "cond_check_flagged_words": False,
-    "flagged_words_max_cutoff": 0.2,
-    "cond_check_lang_id": True,
-    "lang_id_min_cutoff": 0.75,
-    "cond_check_perplexity": False,
-    "perplexity_max_cutoff": 3000000,
-}
-
-parameters_filtering = {
-    "default": parameters_filtering_default,
-    "af": parameters_filtering_af,
-    "ar": parameters_filtering_ar,
-    "arz": parameters_filtering_arz,
-    "as": parameters_filtering_as,
-    "bn": parameters_filtering_bn,
-    "ca": parameters_filtering_ca,
-    "en": parameters_filtering_en,
-    "es": parameters_filtering_es,
-    "eu": parameters_filtering_eu,
-    "fr": parameters_filtering_fr,
-    "gu": parameters_filtering_gu,
-    "hi": parameters_filtering_hi,
-    "id": parameters_filtering_id,
-    "kn": parameters_filtering_kn,
-    "ml": parameters_filtering_ml,
-    "mr": parameters_filtering_mr,
-    "pt": parameters_filtering_pt,
-    "sw": parameters_filtering_sw,
-    "ta": parameters_filtering_ta,
-    "te": parameters_filtering_te,
-    "ur": parameters_filtering_ur,
-    "vi": parameters_filtering_vi,
-    "yo": parameters_filtering_yo,
-    "zh": parameters_filtering_zh,
-}
diff --git a/spaces/hugginglearners/brain-tumor-detection-mri/README.md b/spaces/hugginglearners/brain-tumor-detection-mri/README.md
deleted file mode 100644
index c1b43348ded5bcad0a016f64e184777ca719e530..0000000000000000000000000000000000000000
--- a/spaces/hugginglearners/brain-tumor-detection-mri/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: Brain Tumor Detection Mri
-emoji: 🧠
-colorFrom: purple
-colorTo: gray
-sdk: gradio
-sdk_version: 3.0.24
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/hylee/photo2cartoon/p2c/utils/face_detect.py b/spaces/hylee/photo2cartoon/p2c/utils/face_detect.py
deleted file mode 100644
index d295814716f42e3633c15c4fad8830a82b63ee64..0000000000000000000000000000000000000000
--- a/spaces/hylee/photo2cartoon/p2c/utils/face_detect.py
+++ /dev/null
@@ -1,80 +0,0 @@
-import cv2
-import math
-import numpy as np
-import face_alignment
-
-
-class FaceDetect:
-    def __init__(self, device, detector):
-        # landmarks will be detected by face_alignment library. Set device = 'cuda' if use GPU.
-        self.fa = face_alignment.FaceAlignment(face_alignment.LandmarksType._2D, device=device, face_detector=detector)
-
-    def align(self, image):
-        landmarks = self.__get_max_face_landmarks(image)
-
-        if landmarks is None:
-            return None
-
-        else:
-            return self.__rotate(image, landmarks)
-
-    def __get_max_face_landmarks(self, image):
-        preds = self.fa.get_landmarks(image)
-        if preds is None:
-            return None
-
-        elif len(preds) == 1:
-            return preds[0]
-
-        else:
-            # find max face
-            areas = []
-            for pred in preds:
-                landmarks_top = np.min(pred[:, 1])
-                landmarks_bottom = np.max(pred[:, 1])
-                landmarks_left = np.min(pred[:, 0])
-                landmarks_right = np.max(pred[:, 0])
-                areas.append((landmarks_bottom - landmarks_top) * (landmarks_right - landmarks_left))
-            max_face_index = np.argmax(areas)
-            return preds[max_face_index]
-
-    @staticmethod
-    def __rotate(image, landmarks):
-        # rotation angle
-        left_eye_corner = landmarks[36]
-        right_eye_corner = landmarks[45]
-        radian = np.arctan((left_eye_corner[1] - right_eye_corner[1]) / (left_eye_corner[0] - right_eye_corner[0]))
-
-        # image size after rotating
-        height, width, _ = image.shape
-        cos = math.cos(radian)
-        sin = math.sin(radian)
-        new_w = int(width * abs(cos) + height * abs(sin))
-        new_h = int(width * abs(sin) + height * abs(cos))
-
-        # translation
-        Tx = new_w // 2 - width // 2
-        Ty = new_h // 2 - height // 2
-
-        # affine matrix
-        M = np.array([[cos, sin, (1 - cos) * width / 2. - sin * height / 2. + Tx],
-                      [-sin, cos, sin * width / 2. + (1 - cos) * height / 2. + Ty]])
-
-        image_rotate = cv2.warpAffine(image, M, (new_w, new_h), borderValue=(255, 255, 255))
-
-        landmarks = np.concatenate([landmarks, np.ones((landmarks.shape[0], 1))], axis=1)
-        landmarks_rotate = np.dot(M, landmarks.T).T
-        return image_rotate, landmarks_rotate
-
-
-if __name__ == '__main__':
-    img = cv2.cvtColor(cv2.imread('3989161_1.jpg'), cv2.COLOR_BGR2RGB)
-    fd = FaceDetect(device='cpu')
-    face_info = fd.align(img)
-    if face_info is not None:
-        image_align, landmarks_align = face_info
-
-        for i in range(landmarks_align.shape[0]):
-            cv2.circle(image_align, (int(landmarks_align[i][0]), int(landmarks_align[i][1])), 2, (255, 0, 0), -1)
-
-        cv2.imwrite('image_align.png', cv2.cvtColor(image_align, cv2.COLOR_RGB2BGR))
diff --git a/spaces/hysts/ControlNet-v1-1/model.py b/spaces/hysts/ControlNet-v1-1/model.py
deleted file mode 100644
index 5232a46c7bdb1cab775025b495c46381560c2ebe..0000000000000000000000000000000000000000
--- a/spaces/hysts/ControlNet-v1-1/model.py
+++ /dev/null
@@ -1,674 +0,0 @@
-from __future__ import annotations
-
-import gc
-
-import numpy as np
-import PIL.Image
-import torch
-from controlnet_aux.util import HWC3
-from diffusers import (
-    ControlNetModel,
-    DiffusionPipeline,
-    StableDiffusionControlNetPipeline,
-    UniPCMultistepScheduler,
-)
-
-from cv_utils import resize_image
-from preprocessor import Preprocessor
-from settings import MAX_IMAGE_RESOLUTION, MAX_NUM_IMAGES
-
-CONTROLNET_MODEL_IDS = {
-    "Openpose": "lllyasviel/control_v11p_sd15_openpose",
-    "Canny": "lllyasviel/control_v11p_sd15_canny",
-    "MLSD": "lllyasviel/control_v11p_sd15_mlsd",
-    "scribble": "lllyasviel/control_v11p_sd15_scribble",
-    "softedge": "lllyasviel/control_v11p_sd15_softedge",
-    "segmentation": "lllyasviel/control_v11p_sd15_seg",
-    "depth": "lllyasviel/control_v11f1p_sd15_depth",
-    "NormalBae": "lllyasviel/control_v11p_sd15_normalbae",
-    "lineart": "lllyasviel/control_v11p_sd15_lineart",
-    "lineart_anime": "lllyasviel/control_v11p_sd15s2_lineart_anime",
-    "shuffle": "lllyasviel/control_v11e_sd15_shuffle",
-    "ip2p": "lllyasviel/control_v11e_sd15_ip2p",
-    "inpaint": "lllyasviel/control_v11e_sd15_inpaint",
-}
-
-
-def download_all_controlnet_weights() -> None:
-    for model_id in CONTROLNET_MODEL_IDS.values():
-        ControlNetModel.from_pretrained(model_id)
-
-
-class Model:
-    def __init__(self, base_model_id: str = "runwayml/stable-diffusion-v1-5", task_name: str = "Canny"):
-        self.device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-        self.base_model_id = ""
-        self.task_name = ""
-        self.pipe = self.load_pipe(base_model_id, task_name)
-        self.preprocessor = Preprocessor()
-
-    def load_pipe(self, base_model_id: str, task_name) -> DiffusionPipeline:
-        if (
-            base_model_id == self.base_model_id
-            and task_name == self.task_name
-            and hasattr(self, "pipe")
-            and self.pipe is not None
-        ):
-            return self.pipe
-        model_id = CONTROLNET_MODEL_IDS[task_name]
-        controlnet = ControlNetModel.from_pretrained(model_id, torch_dtype=torch.float16)
-        pipe = StableDiffusionControlNetPipeline.from_pretrained(
-            base_model_id, safety_checker=None, controlnet=controlnet, torch_dtype=torch.float16
-        )
-        pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
-        if self.device.type == "cuda":
-            pipe.enable_xformers_memory_efficient_attention()
-        pipe.to(self.device)
-        torch.cuda.empty_cache()
-        gc.collect()
-        self.base_model_id = base_model_id
-        self.task_name = task_name
-        return pipe
-
-    def set_base_model(self, base_model_id: str) -> str:
-        if not base_model_id or base_model_id == self.base_model_id:
-            return self.base_model_id
-        del self.pipe
-        torch.cuda.empty_cache()
-        gc.collect()
-        try:
-            self.pipe = self.load_pipe(base_model_id, self.task_name)
-        except Exception:
-            self.pipe = self.load_pipe(self.base_model_id, self.task_name)
-        return self.base_model_id
-
-    def load_controlnet_weight(self, task_name: str) -> None:
-        if task_name == self.task_name:
-            return
-        if self.pipe is not None and hasattr(self.pipe, "controlnet"):
-            del self.pipe.controlnet
-        torch.cuda.empty_cache()
-        gc.collect()
-        model_id = CONTROLNET_MODEL_IDS[task_name]
-        controlnet = ControlNetModel.from_pretrained(model_id, torch_dtype=torch.float16)
-        controlnet.to(self.device)
-        torch.cuda.empty_cache()
-        gc.collect()
-        self.pipe.controlnet = controlnet
-        self.task_name = task_name
-
-    def get_prompt(self, prompt: str, additional_prompt: str) -> str:
-        if not prompt:
-            prompt = additional_prompt
-        else:
-            prompt = f"{prompt}, {additional_prompt}"
-        return prompt
-
-    @torch.autocast("cuda")
-    def run_pipe(
-        self,
-        prompt: str,
-        negative_prompt: str,
-        control_image: PIL.Image.Image,
-        num_images: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-    ) -> list[PIL.Image.Image]:
-        generator = torch.Generator().manual_seed(seed)
-        return self.pipe(
-            prompt=prompt,
-            negative_prompt=negative_prompt,
-            guidance_scale=guidance_scale,
-            num_images_per_prompt=num_images,
-            num_inference_steps=num_steps,
-            generator=generator,
-            image=control_image,
-        ).images
-
-    @torch.inference_mode()
-    def process_canny(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        low_threshold: int,
-        high_threshold: int,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        self.preprocessor.load("Canny")
-        control_image = self.preprocessor(
-            image=image, low_threshold=low_threshold, high_threshold=high_threshold, detect_resolution=image_resolution
-        )
-
-        self.load_controlnet_weight("Canny")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_mlsd(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        preprocess_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        value_threshold: float,
-        distance_threshold: float,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        self.preprocessor.load("MLSD")
-        control_image = self.preprocessor(
-            image=image,
-            image_resolution=image_resolution,
-            detect_resolution=preprocess_resolution,
-            thr_v=value_threshold,
-            thr_d=distance_threshold,
-        )
-        self.load_controlnet_weight("MLSD")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_scribble(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        preprocess_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        preprocessor_name: str,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        if preprocessor_name == "None":
-            image = HWC3(image)
-            image = resize_image(image, resolution=image_resolution)
-            control_image = PIL.Image.fromarray(image)
-        elif preprocessor_name == "HED":
-            self.preprocessor.load(preprocessor_name)
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-                scribble=False,
-            )
-        elif preprocessor_name == "PidiNet":
-            self.preprocessor.load(preprocessor_name)
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-                safe=False,
-            )
-        self.load_controlnet_weight("scribble")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_scribble_interactive(
-        self,
-        image_and_mask: dict[str, np.ndarray],
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-    ) -> list[PIL.Image.Image]:
-        if image_and_mask is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        image = image_and_mask["mask"]
-        image = HWC3(image)
-        image = resize_image(image, resolution=image_resolution)
-        control_image = PIL.Image.fromarray(image)
-
-        self.load_controlnet_weight("scribble")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_softedge(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        preprocess_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        preprocessor_name: str,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        if preprocessor_name == "None":
-            image = HWC3(image)
-            image = resize_image(image, resolution=image_resolution)
-            control_image = PIL.Image.fromarray(image)
-        elif preprocessor_name in ["HED", "HED safe"]:
-            safe = "safe" in preprocessor_name
-            self.preprocessor.load("HED")
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-                scribble=safe,
-            )
-        elif preprocessor_name in ["PidiNet", "PidiNet safe"]:
-            safe = "safe" in preprocessor_name
-            self.preprocessor.load("PidiNet")
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-                safe=safe,
-            )
-        else:
-            raise ValueError
-        self.load_controlnet_weight("softedge")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_openpose(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        preprocess_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        preprocessor_name: str,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        if preprocessor_name == "None":
-            image = HWC3(image)
-            image = resize_image(image, resolution=image_resolution)
-            control_image = PIL.Image.fromarray(image)
-        else:
-            self.preprocessor.load("Openpose")
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-                hand_and_face=True,
-            )
-        self.load_controlnet_weight("Openpose")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_segmentation(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        preprocess_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        preprocessor_name: str,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        if preprocessor_name == "None":
-            image = HWC3(image)
-            image = resize_image(image, resolution=image_resolution)
-            control_image = PIL.Image.fromarray(image)
-        else:
-            self.preprocessor.load(preprocessor_name)
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-            )
-        self.load_controlnet_weight("segmentation")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_depth(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        preprocess_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        preprocessor_name: str,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        if preprocessor_name == "None":
-            image = HWC3(image)
-            image = resize_image(image, resolution=image_resolution)
-            control_image = PIL.Image.fromarray(image)
-        else:
-            self.preprocessor.load(preprocessor_name)
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-            )
-        self.load_controlnet_weight("depth")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_normal(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        preprocess_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        preprocessor_name: str,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        if preprocessor_name == "None":
-            image = HWC3(image)
-            image = resize_image(image, resolution=image_resolution)
-            control_image = PIL.Image.fromarray(image)
-        else:
-            self.preprocessor.load("NormalBae")
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-            )
-        self.load_controlnet_weight("NormalBae")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_lineart(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        preprocess_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        preprocessor_name: str,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        if preprocessor_name in ["None", "None (anime)"]:
-            image = HWC3(image)
-            image = resize_image(image, resolution=image_resolution)
-            control_image = PIL.Image.fromarray(image)
-        elif preprocessor_name in ["Lineart", "Lineart coarse"]:
-            coarse = "coarse" in preprocessor_name
-            self.preprocessor.load("Lineart")
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-                coarse=coarse,
-            )
-        elif preprocessor_name == "Lineart (anime)":
-            self.preprocessor.load("LineartAnime")
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-                detect_resolution=preprocess_resolution,
-            )
-        if "anime" in preprocessor_name:
-            self.load_controlnet_weight("lineart_anime")
-        else:
-            self.load_controlnet_weight("lineart")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_shuffle(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-        preprocessor_name: str,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        if preprocessor_name == "None":
-            image = HWC3(image)
-            image = resize_image(image, resolution=image_resolution)
-            control_image = PIL.Image.fromarray(image)
-        else:
-            self.preprocessor.load(preprocessor_name)
-            control_image = self.preprocessor(
-                image=image,
-                image_resolution=image_resolution,
-            )
-        self.load_controlnet_weight("shuffle")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
-
-    @torch.inference_mode()
-    def process_ip2p(
-        self,
-        image: np.ndarray,
-        prompt: str,
-        additional_prompt: str,
-        negative_prompt: str,
-        num_images: int,
-        image_resolution: int,
-        num_steps: int,
-        guidance_scale: float,
-        seed: int,
-    ) -> list[PIL.Image.Image]:
-        if image is None:
-            raise ValueError
-        if image_resolution > MAX_IMAGE_RESOLUTION:
-            raise ValueError
-        if num_images > MAX_NUM_IMAGES:
-            raise ValueError
-
-        image = HWC3(image)
-        image = resize_image(image, resolution=image_resolution)
-        control_image = PIL.Image.fromarray(image)
-        self.load_controlnet_weight("ip2p")
-        results = self.run_pipe(
-            prompt=self.get_prompt(prompt, additional_prompt),
-            negative_prompt=negative_prompt,
-            control_image=control_image,
-            num_images=num_images,
-            num_steps=num_steps,
-            guidance_scale=guidance_scale,
-            seed=seed,
-        )
-        return [control_image] + results
diff --git a/spaces/hyxue/HiFiFace-inference-demo/data_process/generate_mask.py b/spaces/hyxue/HiFiFace-inference-demo/data_process/generate_mask.py
deleted file mode 100644
index f76cffc6e0d05c81269614d2c0d328693de6506d..0000000000000000000000000000000000000000
--- a/spaces/hyxue/HiFiFace-inference-demo/data_process/generate_mask.py
+++ /dev/null
@@ -1,75 +0,0 @@
-import os
-from pathlib import Path
-
-import cv2
-import torch
-from model import BiSeNet
-from PIL import Image
-from torch.utils.data import Dataset
-from torchvision import transforms
-from tqdm import tqdm
-
-# For BiSeNet and for official_224 SimSwap
-
-
-class MaskDataset(Dataset):
-    def __init__(self, img_root, mask_root):
-        img_dir = Path(img_root)
-        self.to_tensor_normalize = transforms.Compose(
-            [
-                transforms.ToTensor(),
-                transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),
-            ]
-        )
-        self.img_files = list(img_dir.glob(f"**/*.jpg"))
-        self.img_files.sort()
-        self.mask_files = [os.path.join(mask_root, os.path.relpath(img_path, img_root)) for img_path in self.img_files]
-
-    def __len__(self):
-        return len(self.mask_files)
-
-    def __getitem__(self, index):
-        img = Image.open(self.img_files[index]).convert("RGB")
-        return {"img": self.to_tensor_normalize(img), "mask_path": self.mask_files[index]}
-
-
-class MaskDataLoader:
-    def __init__(self):
-        """Initialize this class"""
-        self.dataset = MaskDataset(img_root="/data/dataset/face_1k/alignHQ", mask_root="/data/dataset/face_1k/mask")
-
-        self.dataloader = torch.utils.data.DataLoader(
-            self.dataset, batch_size=8, shuffle=True, num_workers=8, drop_last=False
-        )
-
-    def __len__(self):
-        """Return the number of data in the dataset"""
-        return len(self.dataset) / 8
-
-    def __iter__(self):
-        """Return a batch of data"""
-        for data in self.dataloader:
-            yield data
-
-
-if __name__ == "__main__":
-    dataloader = MaskDataLoader()
-    bisenet_path = "/data/useful_ckpt/face_parsing/parsing_model_79999_iter.pth"
-    bisenet = BiSeNet(n_classes=19)
-    device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
-    bisenet.to(device)
-    state_dict = torch.load(bisenet_path, map_location=device)
-    bisenet.load_state_dict(state_dict)
-    bisenet.eval()
-
-    for data in tqdm(dataloader):
-        mask, ignore_ids = bisenet.get_mask(data["img"].to(device), 256)
-        mask = (mask * 255).to(torch.uint8).cpu().numpy().transpose(0, 2, 3, 1).repeat(3, 3)
-
-        for i in range(mask.shape[0]):
-            if ignore_ids[i]:
-                continue
-            path = data["mask_path"][i]
-            dirname = os.path.dirname(path)
-            os.makedirs(dirname, exist_ok=True)
-            cv2.imwrite(path, mask[i])
diff --git a/spaces/iamadhxxx/Analyse/app.py b/spaces/iamadhxxx/Analyse/app.py
deleted file mode 100644
index 5db3156567bdd8a82ec2efe5e13ae1cbcf1731a5..0000000000000000000000000000000000000000
--- a/spaces/iamadhxxx/Analyse/app.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-
-# Load the Hugging Face text classification model
-classifier = pipeline("sentiment-analysis")
-
-# Define a Gradio interface
-def classify_text(text):
-    result = classifier(text)
-    label = result[0]['label']
-    score = result[0]['score']
-    return f"Label: {label}, Score: {score:.2f}"
-
-iface = gr.Interface(fn=classify_text, inputs="text", outputs="text")
-
-if __name__ == "__main__":
-    iface.launch()
diff --git a/spaces/inamXcontru/PoeticTTS/BachnaAeHaseeno720p.md b/spaces/inamXcontru/PoeticTTS/BachnaAeHaseeno720p.md
deleted file mode 100644
index 2deb9cff2ffc7934a621afb68d8f4922842ae867..0000000000000000000000000000000000000000
--- a/spaces/inamXcontru/PoeticTTS/BachnaAeHaseeno720p.md
+++ /dev/null
@@ -1,18 +0,0 @@
-<h2>BachnaAeHaseeno720p</h2><br /><p><b><b>Download</b> ===> <a href="https://gohhs.com/2uz3wD">https://gohhs.com/2uz3wD</a></b></p><br /><br />
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diff --git a/spaces/innat/Google-MediaPipe/app.py b/spaces/innat/Google-MediaPipe/app.py
deleted file mode 100644
index cee68b2a8914dc219de1c469ee44dfcdc1d229a8..0000000000000000000000000000000000000000
--- a/spaces/innat/Google-MediaPipe/app.py
+++ /dev/null
@@ -1,79 +0,0 @@
-import gradio as gr
-
-# necessary packages
-from facemesh import mp_face_mesh_fn
-from facedetect import mp_face_detect_fn
-from handposedetect import mp_hand_pose_detect_fn
-from objectron3d import mp_objectron_fn
-from posestimate import mp_pose_estimation_fn
-from holistic import mp_holistic_fn
-from selfiseg import mp_selfi_segment_fn
-
-
-def run_mediapipe(image, soln_type, min_detection_confidence):
-    if soln_type == 'facemesh':
-        annotated_image = mp_face_mesh_fn(image, min_detect_conf=min_detection_confidence)
-    elif soln_type == 'facedetect':
-        annotated_image = mp_face_detect_fn(image, min_detect_conf=min_detection_confidence)
-    elif soln_type == 'handpose':
-        annotated_image = mp_hand_pose_detect_fn(image, min_detect_conf=min_detection_confidence)
-    elif soln_type == 'pose estimate':
-        annotated_image = mp_pose_estimation_fn(image, min_detect_conf=min_detection_confidence)
-    elif soln_type == 'holistic':
-        annotated_image = mp_holistic_fn(image, min_detect_conf=min_detection_confidence)
-    elif soln_type == 'objectron':
-        annotated_image = mp_objectron_fn(image, min_detect_conf=min_detection_confidence)
-    elif soln_type == 'selfie segment':
-        annotated_image = mp_selfi_segment_fn(image)
-    return annotated_image
-
-
-def main():
-    solutions = [
-        'facedetect', 
-        'facemesh', 
-        'handpose', 
-        'pose estimate',
-        'holistic',
-        'objectron',
-        'selfie segment'
-    ]
-
-    sample_images = [
-        ["examples/0.jpg", solutions[0], 0.5],
-        ["examples/1.jpg", solutions[1], 0.5],
-        ["examples/2.png", solutions[2], 0.5],
-        ["examples/3.jpg", solutions[3], 0.5],
-        ["examples/4.jpg", solutions[4], 0.5],
-        ["examples/5.jpg", solutions[5], 0.3],
-        ["examples/6.jpg", solutions[6], None],
-    ]
-
-    iface = gr.Interface(
-        fn=run_mediapipe,
-        inputs=[
-            gr.inputs.Image(label="Input Image"),
-            gr.inputs.Radio(
-                solutions,
-                type='value',
-                default=solutions[0],
-                label='Solutions'
-            ),
-            gr.inputs.Slider(
-                0,
-                1,
-                step=0.05,
-                default=0.5,
-                label='Minimum Detection Confidence'
-            )
-        ],
-        outputs=gr.outputs.Image(label="MediaPipe", type='numpy'),
-        title="Google MediaPipe Demo",
-        description="Few solutions of <a href='https://mediapipe.dev/'>Google MediaPipe</a> are presented here. Note, to test `Objectron` model, make sure to ensure <a href='https://github.com/google/mediapipe/blob/master/mediapipe/python/solutions/objectron.py#L128-L133'>Model Type</a>. Currently it only supports `Shoe`, `Chair`, `Cup` and `Camera` object.",
-        examples=sample_images
-    )
-
-    iface.launch()
-
-if __name__ == '__main__':
-    main()
diff --git a/spaces/innnky/nene-emotion/mel_processing.py b/spaces/innnky/nene-emotion/mel_processing.py
deleted file mode 100644
index ecc547270f044cfbb5538a051314b770aa2b058e..0000000000000000000000000000000000000000
--- a/spaces/innnky/nene-emotion/mel_processing.py
+++ /dev/null
@@ -1,119 +0,0 @@
-import math
-import os
-import random
-import torch
-from torch import nn
-import torch.nn.functional as F
-import torch.utils.data
-import numpy as np
-
-import logging
-
-numba_logger = logging.getLogger('numba')
-numba_logger.setLevel(logging.WARNING)
-import warnings
-warnings.filterwarnings('ignore')
-import librosa
-import librosa.util as librosa_util
-from librosa.util import normalize, pad_center, tiny
-from scipy.signal import get_window
-from scipy.io.wavfile import read
-from librosa.filters import mel as librosa_mel_fn
-
-MAX_WAV_VALUE = 32768.0
-
-
-def dynamic_range_compression_torch(x, C=1, clip_val=1e-5):
-    """
-    PARAMS
-    ------
-    C: compression factor
-    """
-    return torch.log(torch.clamp(x, min=clip_val) * C)
-
-
-def dynamic_range_decompression_torch(x, C=1):
-    """
-    PARAMS
-    ------
-    C: compression factor used to compress
-    """
-    return torch.exp(x) / C
-
-
-def spectral_normalize_torch(magnitudes):
-    output = dynamic_range_compression_torch(magnitudes)
-    return output
-
-
-def spectral_de_normalize_torch(magnitudes):
-    output = dynamic_range_decompression_torch(magnitudes)
-    return output
-
-
-mel_basis = {}
-hann_window = {}
-
-
-def spectrogram_torch(y, n_fft, sampling_rate, hop_size, win_size, center=False):
-    if torch.min(y) < -1.:
-        print('min value is ', torch.min(y))
-    if torch.max(y) > 1.:
-        print('max value is ', torch.max(y))
-
-    global hann_window
-    dtype_device = str(y.dtype) + '_' + str(y.device)
-    wnsize_dtype_device = str(win_size) + '_' + dtype_device
-    if wnsize_dtype_device not in hann_window:
-        hann_window[wnsize_dtype_device] = torch.hann_window(win_size).to(dtype=y.dtype, device=y.device)
-
-    y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft-hop_size)/2), int((n_fft-hop_size)/2)), mode='reflect')
-    y = y.squeeze(1)
-
-    spec = torch.stft(y, n_fft, hop_length=hop_size, win_length=win_size, window=hann_window[wnsize_dtype_device],
-                      center=center, pad_mode='reflect', normalized=False, onesided=True)
-
-    spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
-    return spec
-
-
-def spec_to_mel_torch(spec, n_fft, num_mels, sampling_rate, fmin, fmax):
-    global mel_basis
-    dtype_device = str(spec.dtype) + '_' + str(spec.device)
-    fmax_dtype_device = str(fmax) + '_' + dtype_device
-    if fmax_dtype_device not in mel_basis:
-        mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
-        mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to(dtype=spec.dtype, device=spec.device)
-    spec = torch.matmul(mel_basis[fmax_dtype_device], spec)
-    spec = spectral_normalize_torch(spec)
-    return spec
-
-
-def mel_spectrogram_torch(y, n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax, center=False):
-    if torch.min(y) < -1.:
-        print('min value is ', torch.min(y))
-    if torch.max(y) > 1.:
-        print('max value is ', torch.max(y))
-
-    global mel_basis, hann_window
-    dtype_device = str(y.dtype) + '_' + str(y.device)
-    fmax_dtype_device = str(fmax) + '_' + dtype_device
-    wnsize_dtype_device = str(win_size) + '_' + dtype_device
-    if fmax_dtype_device not in mel_basis:
-        mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
-        mel_basis[fmax_dtype_device] = torch.from_numpy(mel).to(dtype=y.dtype, device=y.device)
-    if wnsize_dtype_device not in hann_window:
-        hann_window[wnsize_dtype_device] = torch.hann_window(win_size).to(dtype=y.dtype, device=y.device)
-
-    y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft-hop_size)/2), int((n_fft-hop_size)/2)), mode='reflect')
-    y = y.squeeze(1)
-
-    spec = torch.stft(y, n_fft, hop_length=hop_size, win_length=win_size, window=hann_window[wnsize_dtype_device],
-                      center=center, pad_mode='reflect', normalized=False, onesided=True)
-
-    spec = torch.sqrt(spec.pow(2).sum(-1) + 1e-6)
-
-    spec = torch.matmul(mel_basis[fmax_dtype_device], spec)
-    spec = spectral_normalize_torch(spec)
-
-    return spec
diff --git a/spaces/inplisQlawa/anything-midjourney-v4-1/AutoDesk-2017-All-Products-Universal-Keygen-Free-Download.md b/spaces/inplisQlawa/anything-midjourney-v4-1/AutoDesk-2017-All-Products-Universal-Keygen-Free-Download.md
deleted file mode 100644
index 8e12b17de65c9cd2315f10798aeed8c0b81c739d..0000000000000000000000000000000000000000
--- a/spaces/inplisQlawa/anything-midjourney-v4-1/AutoDesk-2017-All-Products-Universal-Keygen-Free-Download.md
+++ /dev/null
@@ -1,108 +0,0 @@
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diff --git a/spaces/inplisQlawa/anything-midjourney-v4-1/Contoh Sk Pembimbing Olimpiade Sains.md b/spaces/inplisQlawa/anything-midjourney-v4-1/Contoh Sk Pembimbing Olimpiade Sains.md
deleted file mode 100644
index 117872cf0778b4c7c85ef767756de8cd116bac83..0000000000000000000000000000000000000000
--- a/spaces/inplisQlawa/anything-midjourney-v4-1/Contoh Sk Pembimbing Olimpiade Sains.md	
+++ /dev/null
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diff --git a/spaces/inplisQlawa/anything-midjourney-v4-1/FULL Adobe Lightroom Classic CC 2018 V7.0.1.10 [HOT] Crack [[HOT] CracksNow].md b/spaces/inplisQlawa/anything-midjourney-v4-1/FULL Adobe Lightroom Classic CC 2018 V7.0.1.10 [HOT] Crack [[HOT] CracksNow].md
deleted file mode 100644
index f4cb3871e1cf5c8c8ec7c1fd383bf0c0734b9038..0000000000000000000000000000000000000000
--- a/spaces/inplisQlawa/anything-midjourney-v4-1/FULL Adobe Lightroom Classic CC 2018 V7.0.1.10 [HOT] Crack [[HOT] CracksNow].md	
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-<br />
-<p></p>
diff --git a/spaces/inplisQlawa/anything-midjourney-v4-1/HD Online Player (Love Aaj Kal 2 Full Movie Download [UPD] H).md b/spaces/inplisQlawa/anything-midjourney-v4-1/HD Online Player (Love Aaj Kal 2 Full Movie Download [UPD] H).md
deleted file mode 100644
index 94e791af799e79f6ced42410b05baf766790f66a..0000000000000000000000000000000000000000
--- a/spaces/inplisQlawa/anything-midjourney-v4-1/HD Online Player (Love Aaj Kal 2 Full Movie Download [UPD] H).md	
+++ /dev/null
@@ -1,57 +0,0 @@
-
-<h1>HD Online Player (Love Aaj Kal 2 full movie download h)</h1>
-<p>Are you looking for a way to watch Love Aaj Kal 2 full movie online in HD quality? If yes, then you are in the right place. In this article, we will tell you how to use an HD online player to download and stream Love Aaj Kal 2 full movie for free. We will also give you a brief overview of the movie, its cast, and its plot.</p>
-<h2>HD Online Player (Love Aaj Kal 2 full movie download h)</h2><br /><p><b><b>Download Zip</b> &#10084; <a href="https://urlin.us/2uEwnc">https://urlin.us/2uEwnc</a></b></p><br /><br />
-<h2>What is Love Aaj Kal 2?</h2>
-<p>Love Aaj Kal 2 is a Hindi romantic drama film that was released in 2020. It is directed by Imtiaz Ali and stars Kartik Aaryan and Sara Ali Khan as the lead pair. The film is a sequel to the 2009 film Love Aaj Kal, which was also directed by Imtiaz Ali and starred Saif Ali Khan and Deepika Padukone.</p>
-<p>The film follows two parallel stories of love, one set in 1990 and the other in 2020. The film explores how the concept of love changes over time and how different generations deal with it. The film also features Randeep Hooda and Arushi Sharma in supporting roles.</p>
-<p>The film received mixed reviews from critics and audiences, but was praised for its music, cinematography, and performances. The film was also a commercial success, grossing over Rs. 52 crore at the box office.</p>
-<h2>How to Use an HD Online Player to Download and Stream Love Aaj Kal 2 Full Movie?</h2>
-<p>If you want to watch Love Aaj Kal 2 full movie online in HD quality, you can use an HD online player to download and stream the movie for free. An HD online player is a software or a website that allows you to play video files on your device without downloading them. You can also download the video files if you want to watch them offline.</p>
-<p></p>
-<p>There are many HD online players available on the internet, but not all of them are safe and reliable. Some of them may contain viruses, malware, or ads that can harm your device or compromise your privacy. Therefore, you need to be careful while choosing an HD online player.</p>
-<p>One of the best HD online players that we recommend is M4uHD. M4uHD is a website that offers free movies and TV shows in HD quality. You can watch Love Aaj Kal 2 full movie on M4uHD by following these steps:</p>
-<ul>
-<li>Go to <a href="https://m4uhd.tv/watch-movie-love-aaj-kal-2-2020-241999.html">https://m4uhd.tv/watch-movie-love-aaj-kal-2-2020-241999.html</a>.</li>
-<li>Click on the play button to start streaming the movie.</li>
-<li>If you want to download the movie, click on the download button at the top right corner of the page.</li>
-<li>Select the format and quality of the video file that you want to download.</li>
-<li>Wait for the download to finish and enjoy watching Love Aaj Kal 2 full movie on your device.</li>
-</ul>
-<p>Another HD online player that we recommend is JioCinema. JioCinema is an app that offers free movies and TV shows in HD quality for Jio users. You can watch Love Aaj Kal 2 full movie on JioCinema by following these steps:</p>
-<ul>
-<li>Download JioCinema app from Google Play Store or App Store.</li>
-<li>Open the app and sign in with your Jio number or email ID.</li>
-<li>Go to <a href="https://www.jiocinema.com/movies/love-aaj-kal/3500929">https://www.jiocinema.com/movies/love-aaj-kal/3500929</a>.</li>
-<li>Click on the play button to start streaming the movie.</li>
-<li>If you want to download the movie, click on the download button at the bottom of the screen.</li>
-<li>Select the quality of the video file that you want to download.</li>
-<li>Wait for the download to finish and enjoy watching Love Aaj Kal 2 full movie on your device.</li>
-</ul>
-<p>However,
-please note that these HD online players may not be legal or authorized by the producers or distributors of Love Aaj Kal 2. We do not endorse or encourage any illegal or unethical use of these materials.
-If you want to support the makers and distributors of Love Aaj Kal 2,
-we recommend that you watch the movie in theatres or on official platforms such as Amazon Prime Video or Netflix.</p>
-<h2>Conclusion</h2>
-<p>Love Aaj Kal 2 is a Hindi romantic drama film that was released in 2020. It is directed by Imtiaz Ali and stars Kartik Aaryan and Sara Ali Khan as the lead pair. The film follows two parallel stories of love, one set in 1990 and the other in 2020.</p>
-<p>If you want to watch Love Aaj Kal 2 full movie online in HD quality, you can use an HD online player to download and stream the movie for free. We have suggested two HD online players that you can use: M4uHD and JioCinema. However,
-please be aware that these HD online players may not be legal or authorized by the producers or distributors of Love Aaj Kal 2.
-We do not endorse or encourage any illegal or unethical use of these materials.
-If you want to support the makers and distributors of Love Aaj Kal 2,
-we recommend that you watch the movie in theatres or on official platforms such as Amazon Prime Video or Netflix.</p>
-<p>We hope this article was helpful and informative for you.
-If you have any questions or comments about Love Aaj Kal 2 or anything related to HD online players,
-please feel free to leave them below.
-We would love to hear from you!</p>
-<p>Love Aaj Kal 2 is a Hindi romantic drama film that was released in 2020. It is directed by Imtiaz Ali and stars Kartik Aaryan and Sara Ali Khan as the lead pair. The film follows two parallel stories of love, one set in 1990 and the other in 2020.</p>
-<p>If you want to watch Love Aaj Kal 2 full movie online in HD quality, you can use an HD online player to download and stream the movie for free. We have suggested two HD online players that you can use: M4uHD and JioCinema. However,
-please be aware that these HD online players may not be legal or authorized by the producers or distributors of Love Aaj Kal 2.
-We do not endorse or encourage any illegal or unethical use of these materials.
-If you want to support the makers and distributors of Love Aaj Kal 2,
-we recommend that you watch the movie in theatres or on official platforms such as Amazon Prime Video or Netflix.</p>
-<p>We hope this article was helpful and informative for you.
-If you have any questions or comments about Love Aaj Kal 2 or anything related to HD online players,
-please feel free to leave them below.
-We would love to hear from you!</p> 3cee63e6c2<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/inplisQlawa/anything-midjourney-v4-1/Hacker Editor Para Mu Season2.md b/spaces/inplisQlawa/anything-midjourney-v4-1/Hacker Editor Para Mu Season2.md
deleted file mode 100644
index fa3cb2478a58878d510cec7351c7b6a37b2c150f..0000000000000000000000000000000000000000
--- a/spaces/inplisQlawa/anything-midjourney-v4-1/Hacker Editor Para Mu Season2.md	
+++ /dev/null
@@ -1,9 +0,0 @@
-<br />
-<p>a player connected to titanfall 1 via gameclient. an attacker sets a payload which overwrites the player's data directory after the <code class=nf>uninstalling</code> command. this results in the player being unable to log into titanfall any longer. with additional payloads, the hacker can boot the server off line and start replays from a saved version of the game.</p>
-<p>a form for editing a message is created and if a message with the same id as the entry is in the input <code class=nf>input</code> queue, the message will be overwritten with the current values of the user-defined parameters.</p>
-<h2>Hacker Editor Para Mu Season2</h2><br /><p><b><b>Download Zip</b> &#10026;&#10026;&#10026; <a href="https://urlin.us/2uEvpD">https://urlin.us/2uEvpD</a></b></p><br /><br />
-<p>this also applies to plugins that send a message to a high priority <code class=nf>input</code> queue. during the development process, it can be useful to temporarily enable this capability, to troubleshoot problems with the plugin.</p>
-<p> the <strong>p4c</strong> daemon supports multiple configuration files. each configuration file defines a p4 channel of time synchronization information. channels consist of time intervals which are defined in 1 second intervals and contain the clock and time stamp information to synchronize the time. information for each channel is stored in the file name <code class=literal>time@<channel name>.conf</code>. if a time interval does not exist in the configuration file, the next one is tried and so on. </p>
-<p> you can specify a logical <code class=literal>src</code> directory to be used by the <strong>p4c</strong> daemon. a logical <code class=literal>src</code> is a subset of the real <code class=literal>src</code> directory. you can use a <code class=literal>src</code> directory to segregate and track synchronization data between <code class=literal>p4c</code> processes which run on the same machine. </p> 899543212b<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/jacktown/codefuse-ai-CodeFuse-CodeLlama-34B/README.md b/spaces/jacktown/codefuse-ai-CodeFuse-CodeLlama-34B/README.md
deleted file mode 100644
index ea94e8aa5652e13ca9beccc35442c34ab95b3a19..0000000000000000000000000000000000000000
--- a/spaces/jacktown/codefuse-ai-CodeFuse-CodeLlama-34B/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: Codefuse Ai CodeFuse CodeLlama 34B
-emoji: 😻
-colorFrom: gray
-colorTo: yellow
-sdk: gradio
-sdk_version: 3.44.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/james-oldfield/PandA/networks/stylegan3/visualizer.py b/spaces/james-oldfield/PandA/networks/stylegan3/visualizer.py
deleted file mode 100644
index e9e3b147894ef04a5305fab22b9dd096bbf22ccf..0000000000000000000000000000000000000000
--- a/spaces/james-oldfield/PandA/networks/stylegan3/visualizer.py
+++ /dev/null
@@ -1,334 +0,0 @@
-# Copyright (c) 2021, NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
-#
-# NVIDIA CORPORATION and its licensors retain all intellectual property
-# and proprietary rights in and to this software, related documentation
-# and any modifications thereto.  Any use, reproduction, disclosure or
-# distribution of this software and related documentation without an express
-# license agreement from NVIDIA CORPORATION is strictly prohibited.
-
-import click
-import os
-
-import multiprocessing
-import numpy as np
-import imgui
-import dnnlib
-from gui_utils import imgui_window
-from gui_utils import imgui_utils
-from gui_utils import gl_utils
-from gui_utils import text_utils
-from viz import renderer
-from viz import pickle_widget
-from viz import latent_widget
-from viz import stylemix_widget
-from viz import trunc_noise_widget
-from viz import performance_widget
-from viz import capture_widget
-from viz import layer_widget
-from viz import equivariance_widget
-
-#----------------------------------------------------------------------------
-
-class Visualizer(imgui_window.ImguiWindow):
-    def __init__(self, capture_dir=None):
-        super().__init__(title='GAN Visualizer', window_width=3840, window_height=2160)
-
-        # Internals.
-        self._last_error_print  = None
-        self._async_renderer    = AsyncRenderer()
-        self._defer_rendering   = 0
-        self._tex_img           = None
-        self._tex_obj           = None
-
-        # Widget interface.
-        self.args               = dnnlib.EasyDict()
-        self.result             = dnnlib.EasyDict()
-        self.pane_w             = 0
-        self.label_w            = 0
-        self.button_w           = 0
-
-        # Widgets.
-        self.pickle_widget      = pickle_widget.PickleWidget(self)
-        self.latent_widget      = latent_widget.LatentWidget(self)
-        self.stylemix_widget    = stylemix_widget.StyleMixingWidget(self)
-        self.trunc_noise_widget = trunc_noise_widget.TruncationNoiseWidget(self)
-        self.perf_widget        = performance_widget.PerformanceWidget(self)
-        self.capture_widget     = capture_widget.CaptureWidget(self)
-        self.layer_widget       = layer_widget.LayerWidget(self)
-        self.eq_widget          = equivariance_widget.EquivarianceWidget(self)
-
-        if capture_dir is not None:
-            self.capture_widget.path = capture_dir
-
-        # Initialize window.
-        self.set_position(0, 0)
-        self._adjust_font_size()
-        self.skip_frame() # Layout may change after first frame.
-
-    def close(self):
-        super().close()
-        if self._async_renderer is not None:
-            self._async_renderer.close()
-            self._async_renderer = None
-
-    def add_recent_pickle(self, pkl, ignore_errors=False):
-        self.pickle_widget.add_recent(pkl, ignore_errors=ignore_errors)
-
-    def load_pickle(self, pkl, ignore_errors=False):
-        self.pickle_widget.load(pkl, ignore_errors=ignore_errors)
-
-    def print_error(self, error):
-        error = str(error)
-        if error != self._last_error_print:
-            print('\n' + error + '\n')
-            self._last_error_print = error
-
-    def defer_rendering(self, num_frames=1):
-        self._defer_rendering = max(self._defer_rendering, num_frames)
-
-    def clear_result(self):
-        self._async_renderer.clear_result()
-
-    def set_async(self, is_async):
-        if is_async != self._async_renderer.is_async:
-            self._async_renderer.set_async(is_async)
-            self.clear_result()
-            if 'image' in self.result:
-                self.result.message = 'Switching rendering process...'
-                self.defer_rendering()
-
-    def _adjust_font_size(self):
-        old = self.font_size
-        self.set_font_size(min(self.content_width / 120, self.content_height / 60))
-        if self.font_size != old:
-            self.skip_frame() # Layout changed.
-
-    def draw_frame(self):
-        self.begin_frame()
-        self.args = dnnlib.EasyDict()
-        self.pane_w = self.font_size * 45
-        self.button_w = self.font_size * 5
-        self.label_w = round(self.font_size * 4.5)
-
-        # Detect mouse dragging in the result area.
-        dragging, dx, dy = imgui_utils.drag_hidden_window('##result_area', x=self.pane_w, y=0, width=self.content_width-self.pane_w, height=self.content_height)
-        if dragging:
-            self.latent_widget.drag(dx, dy)
-
-        # Begin control pane.
-        imgui.set_next_window_position(0, 0)
-        imgui.set_next_window_size(self.pane_w, self.content_height)
-        imgui.begin('##control_pane', closable=False, flags=(imgui.WINDOW_NO_TITLE_BAR | imgui.WINDOW_NO_RESIZE | imgui.WINDOW_NO_MOVE))
-
-        # Widgets.
-        expanded, _visible = imgui_utils.collapsing_header('Network & latent', default=True)
-        self.pickle_widget(expanded)
-        self.latent_widget(expanded)
-        self.stylemix_widget(expanded)
-        self.trunc_noise_widget(expanded)
-        expanded, _visible = imgui_utils.collapsing_header('Performance & capture', default=True)
-        self.perf_widget(expanded)
-        self.capture_widget(expanded)
-        expanded, _visible = imgui_utils.collapsing_header('Layers & channels', default=True)
-        self.layer_widget(expanded)
-        with imgui_utils.grayed_out(not self.result.get('has_input_transform', False)):
-            expanded, _visible = imgui_utils.collapsing_header('Equivariance', default=True)
-            self.eq_widget(expanded)
-
-        # Render.
-        if self.is_skipping_frames():
-            pass
-        elif self._defer_rendering > 0:
-            self._defer_rendering -= 1
-        elif self.args.pkl is not None:
-            self._async_renderer.set_args(**self.args)
-            result = self._async_renderer.get_result()
-            if result is not None:
-                self.result = result
-
-        # Display.
-        max_w = self.content_width - self.pane_w
-        max_h = self.content_height
-        pos = np.array([self.pane_w + max_w / 2, max_h / 2])
-        if 'image' in self.result:
-            if self._tex_img is not self.result.image:
-                self._tex_img = self.result.image
-                if self._tex_obj is None or not self._tex_obj.is_compatible(image=self._tex_img):
-                    self._tex_obj = gl_utils.Texture(image=self._tex_img, bilinear=False, mipmap=False)
-                else:
-                    self._tex_obj.update(self._tex_img)
-            zoom = min(max_w / self._tex_obj.width, max_h / self._tex_obj.height)
-            zoom = np.floor(zoom) if zoom >= 1 else zoom
-            self._tex_obj.draw(pos=pos, zoom=zoom, align=0.5, rint=True)
-        if 'error' in self.result:
-            self.print_error(self.result.error)
-            if 'message' not in self.result:
-                self.result.message = str(self.result.error)
-        if 'message' in self.result:
-            tex = text_utils.get_texture(self.result.message, size=self.font_size, max_width=max_w, max_height=max_h, outline=2)
-            tex.draw(pos=pos, align=0.5, rint=True, color=1)
-
-        # End frame.
-        self._adjust_font_size()
-        imgui.end()
-        self.end_frame()
-
-#----------------------------------------------------------------------------
-
-class AsyncRenderer:
-    def __init__(self):
-        self._closed        = False
-        self._is_async      = False
-        self._cur_args      = None
-        self._cur_result    = None
-        self._cur_stamp     = 0
-        self._renderer_obj  = None
-        self._args_queue    = None
-        self._result_queue  = None
-        self._process       = None
-
-    def close(self):
-        self._closed = True
-        self._renderer_obj = None
-        if self._process is not None:
-            self._process.terminate()
-        self._process = None
-        self._args_queue = None
-        self._result_queue = None
-
-    @property
-    def is_async(self):
-        return self._is_async
-
-    def set_async(self, is_async):
-        self._is_async = is_async
-
-    def set_args(self, **args):
-        assert not self._closed
-        if args != self._cur_args:
-            if self._is_async:
-                self._set_args_async(**args)
-            else:
-                self._set_args_sync(**args)
-            self._cur_args = args
-
-    def _set_args_async(self, **args):
-        if self._process is None:
-            self._args_queue = multiprocessing.Queue()
-            self._result_queue = multiprocessing.Queue()
-            try:
-                multiprocessing.set_start_method('spawn')
-            except RuntimeError:
-                pass
-            self._process = multiprocessing.Process(target=self._process_fn, args=(self._args_queue, self._result_queue), daemon=True)
-            self._process.start()
-        self._args_queue.put([args, self._cur_stamp])
-
-    def _set_args_sync(self, **args):
-        if self._renderer_obj is None:
-            self._renderer_obj = renderer.Renderer()
-        self._cur_result = self._renderer_obj.render(**args)
-
-    def get_result(self):
-        assert not self._closed
-        if self._result_queue is not None:
-            while self._result_queue.qsize() > 0:
-                result, stamp = self._result_queue.get()
-                if stamp == self._cur_stamp:
-                    self._cur_result = result
-        return self._cur_result
-
-    def clear_result(self):
-        assert not self._closed
-        self._cur_args = None
-        self._cur_result = None
-        self._cur_stamp += 1
-
-    @staticmethod
-    def _process_fn(args_queue, result_queue):
-        renderer_obj = renderer.Renderer()
-        cur_args = None
-        cur_stamp = None
-        while True:
-            args, stamp = args_queue.get()
-            while args_queue.qsize() > 0:
-                args, stamp = args_queue.get()
-            if args != cur_args or stamp != cur_stamp:
-                result = renderer_obj.render(**args)
-                if 'error' in result:
-                    result.error = renderer.CapturedException(result.error)
-                result_queue.put([result, stamp])
-                cur_args = args
-                cur_stamp = stamp
-
-#----------------------------------------------------------------------------
-
-@click.command()
-@click.argument('pkls', metavar='PATH', nargs=-1)
-@click.option('--capture-dir', help='Where to save screenshot captures', metavar='PATH', default=None)
-@click.option('--browse-dir', help='Specify model path for the \'Browse...\' button', metavar='PATH')
-def main(
-    pkls,
-    capture_dir,
-    browse_dir
-):
-    """Interactive model visualizer.
-
-    Optional PATH argument can be used specify which .pkl file to load.
-    """
-    viz = Visualizer(capture_dir=capture_dir)
-
-    if browse_dir is not None:
-        viz.pickle_widget.search_dirs = [browse_dir]
-
-    # List pickles.
-    if len(pkls) > 0:
-        for pkl in pkls:
-            viz.add_recent_pickle(pkl)
-        viz.load_pickle(pkls[0])
-    else:
-        pretrained = [
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-afhqv2-512x512.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-ffhq-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-ffhqu-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-ffhqu-256x256.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-metfaces-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-r-metfacesu-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-t-afhqv2-512x512.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-t-ffhq-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-t-ffhqu-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-t-ffhqu-256x256.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-t-metfaces-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan3/versions/1/files/stylegan3-t-metfacesu-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-afhqcat-512x512.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-afhqdog-512x512.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-afhqv2-512x512.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-afhqwild-512x512.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-brecahad-512x512.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-celebahq-256x256.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-cifar10-32x32.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-ffhq-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-ffhq-256x256.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-ffhq-512x512.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-ffhqu-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-ffhqu-256x256.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-lsundog-256x256.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-metfaces-1024x1024.pkl',
-            'https://api.ngc.nvidia.com/v2/models/nvidia/research/stylegan2/versions/1/files/stylegan2-metfacesu-1024x1024.pkl'
-        ]
-
-        # Populate recent pickles list with pretrained model URLs.
-        for url in pretrained:
-            viz.add_recent_pickle(url)
-
-    # Run.
-    while not viz.should_close():
-        viz.draw_frame()
-    viz.close()
-
-#----------------------------------------------------------------------------
-
-if __name__ == "__main__":
-    main()
-
-#----------------------------------------------------------------------------
diff --git a/spaces/jbilcke-hf/ai-comic-factory/next.config.js b/spaces/jbilcke-hf/ai-comic-factory/next.config.js
deleted file mode 100644
index 4a29795b01a1f36b3e0f1d19f53852cdf63b9134..0000000000000000000000000000000000000000
--- a/spaces/jbilcke-hf/ai-comic-factory/next.config.js
+++ /dev/null
@@ -1,11 +0,0 @@
-/** @type {import('next').NextConfig} */
-const nextConfig = {
-  output: 'standalone',
-  
-  experimental: {
-    serverActions: true,
-    serverActionsBodySizeLimit: '8mb',
-  },
-}
-
-module.exports = nextConfig
diff --git a/spaces/jeang/ernie_demo_toy/ernie/ernie.py b/spaces/jeang/ernie_demo_toy/ernie/ernie.py
deleted file mode 100644
index f1531c09f4bd376bea6b4bf52bf5a0db16de7630..0000000000000000000000000000000000000000
--- a/spaces/jeang/ernie_demo_toy/ernie/ernie.py
+++ /dev/null
@@ -1,397 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-import numpy as np
-import pandas as pd
-from transformers import (
-    AutoTokenizer,
-    AutoModel,
-    AutoConfig,
-    TFAutoModelForSequenceClassification,
-)
-from tensorflow import keras
-from sklearn.model_selection import train_test_split
-import logging
-import time
-from .models import Models, ModelsByFamily  # noqa: F401
-from .split_strategies import (  # noqa: F401
-    SplitStrategy,
-    SplitStrategies,
-    RegexExpressions
-)
-from .aggregation_strategies import (  # noqa: F401
-    AggregationStrategy,
-    AggregationStrategies
-)
-from .helper import (
-    get_features,
-    softmax,
-    remove_dir,
-    make_dir,
-    copy_dir
-)
-
-AUTOSAVE_PATH = './ernie-autosave/'
-
-
-def clean_autosave():
-    remove_dir(AUTOSAVE_PATH)
-
-
-class SentenceClassifier:
-    def __init__(self,
-                 model_name=Models.BertBaseUncased,
-                 model_path=None,
-                 max_length=64,
-                 labels_no=2,
-                 tokenizer_kwargs=None,
-                 model_kwargs=None):
-        self._loaded_data = False
-        self._model_path = None
-
-        if model_kwargs is None:
-            model_kwargs = {}
-        model_kwargs['num_labels'] = labels_no
-
-        if tokenizer_kwargs is None:
-            tokenizer_kwargs = {}
-        tokenizer_kwargs['max_len'] = max_length
-
-        if model_path is not None:
-            self._load_local_model(model_path)
-        else:
-            self._load_remote_model(model_name, tokenizer_kwargs, model_kwargs)
-
-    @property
-    def model(self):
-        return self._model
-
-    @property
-    def tokenizer(self):
-        return self._tokenizer
-
-    def load_dataset(self,
-                     dataframe=None,
-                     validation_split=0.1,
-                     random_state=None,
-                     stratify=None,
-                     csv_path=None,
-                     read_csv_kwargs=None):
-
-        if dataframe is None and csv_path is None:
-            raise ValueError
-
-        if csv_path is not None:
-            dataframe = pd.read_csv(csv_path, **read_csv_kwargs)
-
-        sentences = list(dataframe[dataframe.columns[0]])
-        labels = dataframe[dataframe.columns[1]].values
-
-        (
-            training_sentences,
-            validation_sentences,
-            training_labels,
-            validation_labels
-        ) = train_test_split(
-            sentences,
-            labels,
-            test_size=validation_split,
-            shuffle=True,
-            random_state=random_state,
-            stratify=stratify
-        )
-
-        self._training_features = get_features(
-            self._tokenizer, training_sentences, training_labels)
-
-        self._training_size = len(training_sentences)
-
-        self._validation_features = get_features(
-            self._tokenizer,
-            validation_sentences,
-            validation_labels
-        )
-        self._validation_split = len(validation_sentences)
-
-        logging.info(f'training_size: {self._training_size}')
-        logging.info(f'validation_split: {self._validation_split}')
-
-        self._loaded_data = True
-
-    def fine_tune(self,
-                  epochs=4,
-                  learning_rate=2e-5,
-                  epsilon=1e-8,
-                  clipnorm=1.0,
-                  optimizer_function=keras.optimizers.Adam,
-                  optimizer_kwargs=None,
-                  loss_function=keras.losses.SparseCategoricalCrossentropy,
-                  loss_kwargs=None,
-                  accuracy_function=keras.metrics.SparseCategoricalAccuracy,
-                  accuracy_kwargs=None,
-                  training_batch_size=32,
-                  validation_batch_size=64,
-                  **kwargs):
-        if not self._loaded_data:
-            raise Exception('Data has not been loaded.')
-
-        if optimizer_kwargs is None:
-            optimizer_kwargs = {
-                'learning_rate': learning_rate,
-                'epsilon': epsilon,
-                'clipnorm': clipnorm
-            }
-        optimizer = optimizer_function(**optimizer_kwargs)
-
-        if loss_kwargs is None:
-            loss_kwargs = {'from_logits': True}
-        loss = loss_function(**loss_kwargs)
-
-        if accuracy_kwargs is None:
-            accuracy_kwargs = {'name': 'accuracy'}
-        accuracy = accuracy_function(**accuracy_kwargs)
-
-        self._model.compile(optimizer=optimizer, loss=loss, metrics=[accuracy])
-
-        training_features = self._training_features.shuffle(
-            self._training_size).batch(training_batch_size).repeat(-1)
-        validation_features = self._validation_features.batch(
-            validation_batch_size)
-
-        training_steps = self._training_size // training_batch_size
-        if training_steps == 0:
-            training_steps = self._training_size
-        logging.info(f'training_steps: {training_steps}')
-
-        validation_steps = self._validation_split // validation_batch_size
-        if validation_steps == 0:
-            validation_steps = self._validation_split
-        logging.info(f'validation_steps: {validation_steps}')
-
-        for i in range(epochs):
-            self._model.fit(training_features,
-                            epochs=1,
-                            validation_data=validation_features,
-                            steps_per_epoch=training_steps,
-                            validation_steps=validation_steps,
-                            **kwargs)
-
-        # The fine-tuned model does not have the same input interface
-        # after being exported and loaded again.
-        self._reload_model()
-
-    def predict_one(
-        self,
-        text,
-        split_strategy=None,
-        aggregation_strategy=None
-    ):
-        return next(
-            self.predict([text],
-                         batch_size=1,
-                         split_strategy=split_strategy,
-                         aggregation_strategy=aggregation_strategy))
-
-    def predict(
-        self,
-        texts,
-        batch_size=32,
-        split_strategy=None,
-        aggregation_strategy=None
-    ):
-        if split_strategy is None:
-            yield from self._predict_batch(texts, batch_size)
-
-        else:
-            if aggregation_strategy is None:
-                aggregation_strategy = AggregationStrategies.Mean
-
-            split_indexes = [0]
-            sentences = []
-            for text in texts:
-                new_sentences = split_strategy.split(text, self.tokenizer)
-                if not new_sentences:
-                    continue
-                split_indexes.append(split_indexes[-1] + len(new_sentences))
-                sentences.extend(new_sentences)
-
-            predictions = list(self._predict_batch(sentences, batch_size))
-            for i, split_index in enumerate(split_indexes[:-1]):
-                stop_index = split_indexes[i + 1]
-                yield aggregation_strategy.aggregate(
-                    predictions[split_index:stop_index]
-                )
-
-    def dump(self, path):
-        if self._model_path:
-            copy_dir(self._model_path, path)
-        else:
-            self._dump(path)
-
-    def _dump(self, path):
-        make_dir(path)
-        make_dir(path + '/tokenizer')
-        self._model.save_pretrained(path)
-        self._tokenizer.save_pretrained(path + '/tokenizer')
-        self._config.save_pretrained(path + '/tokenizer')
-
-    def _predict_batch(self, sentences: list, batch_size: int):
-        sentences_number = len(sentences)
-        if batch_size > sentences_number:
-            batch_size = sentences_number
-
-        for i in range(0, sentences_number, batch_size):
-            input_ids_list = []
-            attention_mask_list = []
-
-            stop_index = i + batch_size
-            stop_index = stop_index if stop_index < sentences_number \
-                else sentences_number
-
-            for j in range(i, stop_index):
-                features = self._tokenizer.encode_plus(
-                    sentences[j],
-                    add_special_tokens=True,
-                    max_length=self._tokenizer.model_max_length
-                )
-                input_ids, _, attention_mask = (
-                    features['input_ids'],
-                    features['token_type_ids'],
-                    features['attention_mask']
-                )
-
-                input_ids = self._list_to_padded_array(features['input_ids'])
-                attention_mask = self._list_to_padded_array(
-                    features['attention_mask'])
-
-                input_ids_list.append(input_ids)
-                attention_mask_list.append(attention_mask)
-
-            input_dict = {
-                'input_ids': np.array(input_ids_list),
-                'attention_mask': np.array(attention_mask_list)
-            }
-            logit_predictions = self._model.predict_on_batch(input_dict)
-            yield from (
-                [softmax(logit_prediction)
-                 for logit_prediction in logit_predictions[0]]
-            )
-
-    def _list_to_padded_array(self, items):
-        array = np.array(items)
-        padded_array = np.zeros(self._tokenizer.model_max_length, dtype=np.int)
-        padded_array[:array.shape[0]] = array
-        return padded_array
-
-    def _get_temporary_path(self, name=''):
-        return f'{AUTOSAVE_PATH}{name}/{int(round(time.time() * 1000))}'
-
-    def _reload_model(self):
-        self._model_path = self._get_temporary_path(
-            name=self._get_model_family())
-        self._dump(self._model_path)
-        self._load_local_model(self._model_path)
-
-    def _load_local_model(self, model_path):
-        try:
-            self._tokenizer = AutoTokenizer.from_pretrained(
-                model_path + '/tokenizer')
-            self._config = AutoConfig.from_pretrained(
-                model_path + '/tokenizer')
-
-        # Old models didn't use to have a tokenizer folder
-        except OSError:
-            self._tokenizer = AutoTokenizer.from_pretrained(model_path)
-            self._config = AutoConfig.from_pretrained(model_path)
-        self._model = TFAutoModelForSequenceClassification.from_pretrained(
-            model_path,
-            from_pt=False
-        )
-
-    def _get_model_family(self):
-        model_family = ''.join(self._model.name[2:].split('_')[:2])
-        return model_family
-
-    def _load_remote_model(self, model_name, tokenizer_kwargs, model_kwargs):
-        do_lower_case = False
-        if 'uncased' in model_name.lower():
-            do_lower_case = True
-        tokenizer_kwargs.update({'do_lower_case': do_lower_case})
-
-        self._tokenizer = AutoTokenizer.from_pretrained(
-            model_name, **tokenizer_kwargs)
-        self._config = AutoConfig.from_pretrained(model_name)
-
-        temporary_path = self._get_temporary_path()
-        make_dir(temporary_path)
-
-        # TensorFlow model
-        try:
-            self._model = TFAutoModelForSequenceClassification.from_pretrained(
-                model_name,
-                from_pt=False
-            )
-
-        # PyTorch model
-        except TypeError:
-            try:
-                self._model = \
-                    TFAutoModelForSequenceClassification.from_pretrained(
-                        model_name,
-                        from_pt=True
-                    )
-
-            # Loading a TF model from a PyTorch checkpoint is not supported
-            # when using a model identifier name
-            except OSError:
-                model = AutoModel.from_pretrained(model_name)
-                model.save_pretrained(temporary_path)
-                self._model = \
-                    TFAutoModelForSequenceClassification.from_pretrained(
-                        temporary_path,
-                        from_pt=True
-                    )
-
-        # Clean the model's last layer if the provided properties are different
-        clean_last_layer = False
-        for key, value in model_kwargs.items():
-            if not hasattr(self._model.config, key):
-                clean_last_layer = True
-                break
-
-            if getattr(self._model.config, key) != value:
-                clean_last_layer = True
-                break
-
-        if clean_last_layer:
-            try:
-                getattr(self._model, self._get_model_family()
-                        ).save_pretrained(temporary_path)
-                self._model = self._model.__class__.from_pretrained(
-                    temporary_path,
-                    from_pt=False,
-                    **model_kwargs
-                )
-
-            # The model is itself the main layer
-            except AttributeError:
-                # TensorFlow model
-                try:
-                    self._model = self._model.__class__.from_pretrained(
-                        model_name,
-                        from_pt=False,
-                        **model_kwargs
-                    )
-
-                # PyTorch Model
-                except (OSError, TypeError):
-                    model = AutoModel.from_pretrained(model_name)
-                    model.save_pretrained(temporary_path)
-                    self._model = self._model.__class__.from_pretrained(
-                        temporary_path,
-                        from_pt=True,
-                        **model_kwargs
-                    )
-
-        remove_dir(temporary_path)
-        assert self._tokenizer and self._model
diff --git a/spaces/jiaxianustc/mbp/UltraFlow/layers/gin.py b/spaces/jiaxianustc/mbp/UltraFlow/layers/gin.py
deleted file mode 100644
index b154601b251945bb4f4c855b85812cf585412618..0000000000000000000000000000000000000000
--- a/spaces/jiaxianustc/mbp/UltraFlow/layers/gin.py
+++ /dev/null
@@ -1,143 +0,0 @@
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-from dgl.nn.pytorch.conv import GINConv
-from dgl.nn.pytorch.glob import SumPooling, AvgPooling, MaxPooling
-
-
-class ApplyNodeFunc(nn.Module):
-    """Update the node feature hv with MLP, BN and ReLU."""
-    def __init__(self, mlp):
-        super(ApplyNodeFunc, self).__init__()
-        self.mlp = mlp
-        self.bn = nn.BatchNorm1d(self.mlp.output_dim)
-
-    def forward(self, h):
-        h = self.mlp(h)
-        h = self.bn(h)
-        h = F.relu(h)
-        return h
-
-
-class MLP(nn.Module):
-    """MLP with linear output"""
-    def __init__(self, num_layers, input_dim, hidden_dim, output_dim):
-        """MLP layers construction
-        Paramters
-        ---------
-        num_layers: int
-            The number of linear layers
-        input_dim: int
-            The dimensionality of input features
-        hidden_dim: int
-            The dimensionality of hidden units at ALL layers
-        output_dim: int
-            The number of classes for prediction
-        """
-        super(MLP, self).__init__()
-        self.linear_or_not = True  # default is linear model
-        self.num_layers = num_layers
-        self.output_dim = output_dim
-
-        if num_layers < 1:
-            raise ValueError("number of layers should be positive!")
-        elif num_layers == 1:
-            # Linear model
-            self.linear = nn.Linear(input_dim, output_dim)
-        else:
-            # Multi-layer model
-            self.linear_or_not = False
-            self.linears = torch.nn.ModuleList()
-            self.batch_norms = torch.nn.ModuleList()
-
-            self.linears.append(nn.Linear(input_dim, hidden_dim))
-            for layer in range(num_layers - 2):
-                self.linears.append(nn.Linear(hidden_dim, hidden_dim))
-            self.linears.append(nn.Linear(hidden_dim, output_dim))
-
-            for layer in range(num_layers - 1):
-                self.batch_norms.append(nn.BatchNorm1d((hidden_dim)))
-
-    def forward(self, x):
-        if self.linear_or_not:
-            # If linear model
-            return self.linear(x)
-        else:
-            # If MLP
-            h = x
-            for i in range(self.num_layers - 1):
-                h = F.relu(self.batch_norms[i](self.linears[i](h)))
-            return self.linears[-1](h)
-
-
-class GIN(nn.Module):
-    """GIN model"""
-    def __init__(self, input_dim, hidden_dim,num_layers, num_mlp_layers=2,
-                 dropout=0.1, learn_eps=False, neighbor_pooling_type='sum',JK='sum'):
-        """model parameters setting
-        Paramters
-        ---------
-        num_layers: int
-            The number of linear layers in the neural network
-        num_mlp_layers: int
-            The number of linear layers in mlps
-        input_dim: int
-            The dimensionality of input features
-        hidden_dim: int
-            The dimensionality of hidden units at ALL layers
-        dropout: float
-            dropout ratio on the final linear layer
-        learn_eps: boolean
-            If True, learn epsilon to distinguish center nodes from neighbors
-            If False, aggregate neighbors and center nodes altogether.
-        neighbor_pooling_type: str
-            how to aggregate neighbors (sum, mean, or max)
-        """
-        super(GIN, self).__init__()
-        self.num_layers = num_layers
-        self.learn_eps = learn_eps
-
-        # List of MLPs
-        self.ginlayers = torch.nn.ModuleList()
-        self.batch_norms = torch.nn.ModuleList()
-
-        for layer in range(self.num_layers - 1):
-            if layer == 0:
-                mlp = MLP(num_mlp_layers, input_dim, hidden_dim, hidden_dim)
-            else:
-                mlp = MLP(num_mlp_layers, hidden_dim, hidden_dim, hidden_dim)
-
-            self.ginlayers.append(
-                GINConv(ApplyNodeFunc(mlp), neighbor_pooling_type, 0, self.learn_eps))
-            self.batch_norms.append(nn.BatchNorm1d(hidden_dim))
-
-        # Linear function for graph poolings of output of each layer
-        # which maps the output of different layers into a prediction score
-
-        self.drop = nn.Dropout(dropout)
-        self.JK = JK
-
-
-    def forward(self, g, Perturb=None):
-        # list of hidden representation at each layer (including input)
-        h = g.ndata.pop('h').float()
-        hidden_rep = []
-        for i in range(self.num_layers - 1):
-            if i == 0 and Perturb is not None:
-                h = h + Perturb
-            h = self.ginlayers[i](g, h)
-            h = self.batch_norms[i](h)
-            h = F.relu(h)
-            h = self.drop(h)
-            hidden_rep.append(h)
-
-        if self.JK=='sum':
-            hidden_rep = [h.unsqueeze(0) for h in hidden_rep]
-            return torch.sum(torch.cat(hidden_rep, dim=0), dim=0)
-        elif self.JK=='max':
-            hidden_rep = [h.unsqueeze(0) for h in hidden_rep]
-            return torch.max(torch.cat(hidden_rep, dim = 0), dim = 0)[0]
-        elif self.JK=='concat':
-            return torch.cat(hidden_rep, dim = 1)
-        elif self.JK=='last':
-            return hidden_rep[-1]
\ No newline at end of file
diff --git a/spaces/joaopereirajp/livvieChatBot/venv/lib/python3.9/site-packages/Crypto/SelfTest/Cipher/__init__.py b/spaces/joaopereirajp/livvieChatBot/venv/lib/python3.9/site-packages/Crypto/SelfTest/Cipher/__init__.py
deleted file mode 100644
index 05fc139ade46ec8af9c0b747d8fab1cc25cac090..0000000000000000000000000000000000000000
--- a/spaces/joaopereirajp/livvieChatBot/venv/lib/python3.9/site-packages/Crypto/SelfTest/Cipher/__init__.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-#  SelfTest/Cipher/__init__.py: Self-test for cipher modules
-#
-# Written in 2008 by Dwayne C. Litzenberger <dlitz@dlitz.net>
-#
-# ===================================================================
-# The contents of this file are dedicated to the public domain.  To
-# the extent that dedication to the public domain is not available,
-# everyone is granted a worldwide, perpetual, royalty-free,
-# non-exclusive license to exercise all rights associated with the
-# contents of this file for any purpose whatsoever.
-# No rights are reserved.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
-# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
-# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
-# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
-# BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
-# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
-# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-# SOFTWARE.
-# ===================================================================
-
-"""Self-test for cipher modules"""
-
-__revision__ = "$Id$"
-
-def get_tests(config={}):
-    tests = []
-    from Crypto.SelfTest.Cipher import test_AES;      tests += test_AES.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_ARC2;     tests += test_ARC2.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_ARC4;     tests += test_ARC4.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_Blowfish; tests += test_Blowfish.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_CAST;     tests += test_CAST.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_DES3;     tests += test_DES3.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_DES;      tests += test_DES.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_Salsa20; tests += test_Salsa20.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_ChaCha20; tests += test_ChaCha20.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_ChaCha20_Poly1305; tests += test_ChaCha20_Poly1305.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_pkcs1_15; tests += test_pkcs1_15.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_pkcs1_oaep; tests += test_pkcs1_oaep.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_OCB;        tests += test_OCB.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_CBC;        tests += test_CBC.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_CFB;        tests += test_CFB.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_OpenPGP;    tests += test_OpenPGP.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_OFB;        tests += test_OFB.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_CTR;        tests += test_CTR.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_CCM;        tests += test_CCM.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_EAX;        tests += test_EAX.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_GCM;        tests += test_GCM.get_tests(config=config)
-    from Crypto.SelfTest.Cipher import test_SIV;        tests += test_SIV.get_tests(config=config)
-    return tests
-
-if __name__ == '__main__':
-    import unittest
-    suite = lambda: unittest.TestSuite(get_tests())
-    unittest.main(defaultTest='suite')
-
-# vim:set ts=4 sw=4 sts=4 expandtab:
diff --git a/spaces/joaopereirajp/livvieChatBot/venv/lib/python3.9/site-packages/PIL/MspImagePlugin.py b/spaces/joaopereirajp/livvieChatBot/venv/lib/python3.9/site-packages/PIL/MspImagePlugin.py
deleted file mode 100644
index c6567b2ae626fd83ef21575a59374c922d5392a9..0000000000000000000000000000000000000000
--- a/spaces/joaopereirajp/livvieChatBot/venv/lib/python3.9/site-packages/PIL/MspImagePlugin.py
+++ /dev/null
@@ -1,194 +0,0 @@
-#
-# The Python Imaging Library.
-#
-# MSP file handling
-#
-# This is the format used by the Paint program in Windows 1 and 2.
-#
-# History:
-#       95-09-05 fl     Created
-#       97-01-03 fl     Read/write MSP images
-#       17-02-21 es     Fixed RLE interpretation
-#
-# Copyright (c) Secret Labs AB 1997.
-# Copyright (c) Fredrik Lundh 1995-97.
-# Copyright (c) Eric Soroos 2017.
-#
-# See the README file for information on usage and redistribution.
-#
-# More info on this format: https://archive.org/details/gg243631
-# Page 313:
-# Figure 205. Windows Paint Version 1: "DanM" Format
-# Figure 206. Windows Paint Version 2: "LinS" Format. Used in Windows V2.03
-#
-# See also: https://www.fileformat.info/format/mspaint/egff.htm
-
-import io
-import struct
-
-from . import Image, ImageFile
-from ._binary import i16le as i16
-from ._binary import o16le as o16
-
-#
-# read MSP files
-
-
-def _accept(prefix):
-    return prefix[:4] in [b"DanM", b"LinS"]
-
-
-##
-# Image plugin for Windows MSP images.  This plugin supports both
-# uncompressed (Windows 1.0).
-
-
-class MspImageFile(ImageFile.ImageFile):
-    format = "MSP"
-    format_description = "Windows Paint"
-
-    def _open(self):
-        # Header
-        s = self.fp.read(32)
-        if not _accept(s):
-            msg = "not an MSP file"
-            raise SyntaxError(msg)
-
-        # Header checksum
-        checksum = 0
-        for i in range(0, 32, 2):
-            checksum = checksum ^ i16(s, i)
-        if checksum != 0:
-            msg = "bad MSP checksum"
-            raise SyntaxError(msg)
-
-        self.mode = "1"
-        self._size = i16(s, 4), i16(s, 6)
-
-        if s[:4] == b"DanM":
-            self.tile = [("raw", (0, 0) + self.size, 32, ("1", 0, 1))]
-        else:
-            self.tile = [("MSP", (0, 0) + self.size, 32, None)]
-
-
-class MspDecoder(ImageFile.PyDecoder):
-    # The algo for the MSP decoder is from
-    # https://www.fileformat.info/format/mspaint/egff.htm
-    # cc-by-attribution -- That page references is taken from the
-    # Encyclopedia of Graphics File Formats and is licensed by
-    # O'Reilly under the Creative Common/Attribution license
-    #
-    # For RLE encoded files, the 32byte header is followed by a scan
-    # line map, encoded as one 16bit word of encoded byte length per
-    # line.
-    #
-    # NOTE: the encoded length of the line can be 0. This was not
-    # handled in the previous version of this encoder, and there's no
-    # mention of how to handle it in the documentation. From the few
-    # examples I've seen, I've assumed that it is a fill of the
-    # background color, in this case, white.
-    #
-    #
-    # Pseudocode of the decoder:
-    # Read a BYTE value as the RunType
-    #  If the RunType value is zero
-    #   Read next byte as the RunCount
-    #   Read the next byte as the RunValue
-    #   Write the RunValue byte RunCount times
-    #  If the RunType value is non-zero
-    #   Use this value as the RunCount
-    #   Read and write the next RunCount bytes literally
-    #
-    #  e.g.:
-    #  0x00 03 ff 05 00 01 02 03 04
-    #  would yield the bytes:
-    #  0xff ff ff 00 01 02 03 04
-    #
-    # which are then interpreted as a bit packed mode '1' image
-
-    _pulls_fd = True
-
-    def decode(self, buffer):
-        img = io.BytesIO()
-        blank_line = bytearray((0xFF,) * ((self.state.xsize + 7) // 8))
-        try:
-            self.fd.seek(32)
-            rowmap = struct.unpack_from(
-                f"<{self.state.ysize}H", self.fd.read(self.state.ysize * 2)
-            )
-        except struct.error as e:
-            msg = "Truncated MSP file in row map"
-            raise OSError(msg) from e
-
-        for x, rowlen in enumerate(rowmap):
-            try:
-                if rowlen == 0:
-                    img.write(blank_line)
-                    continue
-                row = self.fd.read(rowlen)
-                if len(row) != rowlen:
-                    msg = f"Truncated MSP file, expected {rowlen} bytes on row {x}"
-                    raise OSError(msg)
-                idx = 0
-                while idx < rowlen:
-                    runtype = row[idx]
-                    idx += 1
-                    if runtype == 0:
-                        (runcount, runval) = struct.unpack_from("Bc", row, idx)
-                        img.write(runval * runcount)
-                        idx += 2
-                    else:
-                        runcount = runtype
-                        img.write(row[idx : idx + runcount])
-                        idx += runcount
-
-            except struct.error as e:
-                msg = f"Corrupted MSP file in row {x}"
-                raise OSError(msg) from e
-
-        self.set_as_raw(img.getvalue(), ("1", 0, 1))
-
-        return -1, 0
-
-
-Image.register_decoder("MSP", MspDecoder)
-
-
-#
-# write MSP files (uncompressed only)
-
-
-def _save(im, fp, filename):
-    if im.mode != "1":
-        msg = f"cannot write mode {im.mode} as MSP"
-        raise OSError(msg)
-
-    # create MSP header
-    header = [0] * 16
-
-    header[0], header[1] = i16(b"Da"), i16(b"nM")  # version 1
-    header[2], header[3] = im.size
-    header[4], header[5] = 1, 1
-    header[6], header[7] = 1, 1
-    header[8], header[9] = im.size
-
-    checksum = 0
-    for h in header:
-        checksum = checksum ^ h
-    header[12] = checksum  # FIXME: is this the right field?
-
-    # header
-    for h in header:
-        fp.write(o16(h))
-
-    # image body
-    ImageFile._save(im, fp, [("raw", (0, 0) + im.size, 32, ("1", 0, 1))])
-
-
-#
-# registry
-
-Image.register_open(MspImageFile.format, MspImageFile, _accept)
-Image.register_save(MspImageFile.format, _save)
-
-Image.register_extension(MspImageFile.format, ".msp")
diff --git a/spaces/joaopereirajp/livvieChatBot/venv/lib/python3.9/site-packages/gradio/components/dataframe.py b/spaces/joaopereirajp/livvieChatBot/venv/lib/python3.9/site-packages/gradio/components/dataframe.py
deleted file mode 100644
index d508c2d1d5a1e7bda025cc6b4b518f9bbea228fe..0000000000000000000000000000000000000000
--- a/spaces/joaopereirajp/livvieChatBot/venv/lib/python3.9/site-packages/gradio/components/dataframe.py
+++ /dev/null
@@ -1,341 +0,0 @@
-"""gr.Dataframe() component"""
-
-from __future__ import annotations
-
-import warnings
-from dataclasses import asdict, dataclass
-from typing import Callable, Literal
-
-import numpy as np
-import pandas as pd
-import semantic_version
-from gradio_client.documentation import document, set_documentation_group
-from gradio_client.serializing import JSONSerializable
-from pandas.io.formats.style import Styler
-
-from gradio.components.base import IOComponent, _Keywords
-from gradio.events import (
-    Changeable,
-    EventListenerMethod,
-    Inputable,
-    Selectable,
-)
-
-set_documentation_group("component")
-
-
-@dataclass
-class DataframeData:
-    """
-    This is a dataclass to represent all the data that is sent to or received from the frontend.
-    """
-
-    data: list[list[str | int | bool]]
-    headers: list[str] | list[int] | None = None
-    metadata: dict[str, list[list]] | None = None
-
-
-@document()
-class Dataframe(Changeable, Inputable, Selectable, IOComponent, JSONSerializable):
-    """
-    Accepts or displays 2D input through a spreadsheet-like component for dataframes.
-    Preprocessing: passes the uploaded spreadsheet data as a {pandas.DataFrame}, {numpy.array}, or {List[List]} depending on `type`
-    Postprocessing: expects a {pandas.DataFrame}, {pandas.Styler}, {numpy.array}, {List[List]}, {List}, a {Dict} with keys `data` (and optionally `headers`), or {str} path to a csv, which is rendered in the spreadsheet.
-    Examples-format: a {str} filepath to a csv with data, a pandas dataframe, or a list of lists (excluding headers) where each sublist is a row of data.
-    Demos: filter_records, matrix_transpose, tax_calculator
-    """
-
-    def __init__(
-        self,
-        value: pd.DataFrame
-        | Styler
-        | np.ndarray
-        | list
-        | list[list]
-        | dict
-        | str
-        | Callable
-        | None = None,
-        *,
-        headers: list[str] | None = None,
-        row_count: int | tuple[int, str] = (1, "dynamic"),
-        col_count: int | tuple[int, str] | None = None,
-        datatype: str | list[str] = "str",
-        type: Literal["pandas", "numpy", "array"] = "pandas",
-        max_rows: int | None = 20,
-        max_cols: int | None = None,
-        overflow_row_behaviour: Literal["paginate", "show_ends"] = "paginate",
-        latex_delimiters: list[dict[str, str | bool]] | None = None,
-        label: str | None = None,
-        show_label: bool | None = None,
-        every: float | None = None,
-        height: int = 500,
-        scale: int | None = None,
-        min_width: int = 160,
-        interactive: bool | None = None,
-        visible: bool = True,
-        elem_id: str | None = None,
-        elem_classes: list[str] | str | None = None,
-        wrap: bool = False,
-        line_breaks: bool = True,
-        **kwargs,
-    ):
-        """
-        Parameters:
-            value: Default value to display in the DataFrame. If a Styler is provided, it will be used to set the displayed value in the DataFrame (e.g. to set precision of numbers) if the `interactive` is False. If a Callable function is provided, the function will be called whenever the app loads to set the initial value of the component.
-            headers: List of str header names. If None, no headers are shown.
-            row_count: Limit number of rows for input and decide whether user can create new rows. The first element of the tuple is an `int`, the row count; the second should be 'fixed' or 'dynamic', the new row behaviour. If an `int` is passed the rows default to 'dynamic'
-            col_count: Limit number of columns for input and decide whether user can create new columns. The first element of the tuple is an `int`, the number of columns; the second should be 'fixed' or 'dynamic', the new column behaviour. If an `int` is passed the columns default to 'dynamic'
-            datatype: Datatype of values in sheet. Can be provided per column as a list of strings, or for the entire sheet as a single string. Valid datatypes are "str", "number", "bool", "date", and "markdown".
-            type: Type of value to be returned by component. "pandas" for pandas dataframe, "numpy" for numpy array, or "array" for a Python list of lists.
-            label: component name in interface.
-            max_rows: Deprecated and has no effect. Use `row_count` instead.
-            max_cols: Deprecated and has no effect. Use `col_count` instead.
-            overflow_row_behaviour: Deprecated and has no effect.
-            latex_delimiters: A list of dicts of the form {"left": open delimiter (str), "right": close delimiter (str), "display": whether to display in newline (bool)} that will be used to render LaTeX expressions. If not provided, `latex_delimiters` is set to `[{ "left": "$", "right": "$", "display": False }]`, so only expressions enclosed in $ delimiters will be rendered as LaTeX, and in the same line. Pass in an empty list to disable LaTeX rendering. For more information, see the [KaTeX documentation](https://katex.org/docs/autorender.html). Only applies to columns whose datatype is "markdown".
-            label: component name in interface.
-            show_label: if True, will display label.
-            every: If `value` is a callable, run the function 'every' number of seconds while the client connection is open. Has no effect otherwise. Queue must be enabled. The event can be accessed (e.g. to cancel it) via this component's .load_event attribute.
-            height: The maximum height of the dataframe, in pixels. If more rows are created than can fit in the height, a scrollbar will appear.
-            scale: relative width compared to adjacent Components in a Row. For example, if Component A has scale=2, and Component B has scale=1, A will be twice as wide as B. Should be an integer.
-            min_width: minimum pixel width, will wrap if not sufficient screen space to satisfy this value. If a certain scale value results in this Component being narrower than min_width, the min_width parameter will be respected first.
-            interactive: if True, will allow users to edit the dataframe; if False, can only be used to display data. If not provided, this is inferred based on whether the component is used as an input or output.
-            visible: If False, component will be hidden.
-            elem_id: An optional string that is assigned as the id of this component in the HTML DOM. Can be used for targeting CSS styles.
-            elem_classes: An optional list of strings that are assigned as the classes of this component in the HTML DOM. Can be used for targeting CSS styles.
-            wrap: if True text in table cells will wrap when appropriate, if False the table will scroll horizontally. Defaults to False.
-            line_breaks: If True (default), will enable Github-flavored Markdown line breaks in chatbot messages. If False, single new lines will be ignored. Only applies for columns of type "markdown."
-        """
-
-        self.wrap = wrap
-        self.row_count = self.__process_counts(row_count)
-        self.col_count = self.__process_counts(
-            col_count, len(headers) if headers else 3
-        )
-
-        self.__validate_headers(headers, self.col_count[0])
-
-        self.headers = (
-            headers if headers is not None else list(range(1, self.col_count[0] + 1))
-        )
-        self.datatype = (
-            datatype if isinstance(datatype, list) else [datatype] * self.col_count[0]
-        )
-        valid_types = ["pandas", "numpy", "array"]
-        if type not in valid_types:
-            raise ValueError(
-                f"Invalid value for parameter `type`: {type}. Please choose from one of: {valid_types}"
-            )
-        self.type = type
-        values = {
-            "str": "",
-            "number": 0,
-            "bool": False,
-            "date": "01/01/1970",
-            "markdown": "",
-            "html": "",
-        }
-        column_dtypes = (
-            [datatype] * self.col_count[0] if isinstance(datatype, str) else datatype
-        )
-        self.empty_input = [
-            [values[c] for c in column_dtypes] for _ in range(self.row_count[0])
-        ]
-
-        self.max_rows = max_rows
-        self.max_cols = max_cols
-        self.overflow_row_behaviour = overflow_row_behaviour
-        if latex_delimiters is None:
-            latex_delimiters = [{"left": "$", "right": "$", "display": False}]
-        self.latex_delimiters = latex_delimiters
-        self.height = height
-        self.line_breaks = line_breaks
-
-        self.select: EventListenerMethod
-        """
-        Event listener for when the user selects cell within Dataframe.
-        Uses event data gradio.SelectData to carry `value` referring to value of selected cell, and `index` tuple to refer to index row and column.
-        See EventData documentation on how to use this event data.
-        """
-        IOComponent.__init__(
-            self,
-            label=label,
-            every=every,
-            show_label=show_label,
-            scale=scale,
-            min_width=min_width,
-            interactive=interactive,
-            visible=visible,
-            elem_id=elem_id,
-            elem_classes=elem_classes,
-            value=value,
-            **kwargs,
-        )
-
-    @staticmethod
-    def update(
-        value: pd.DataFrame
-        | Styler
-        | np.ndarray
-        | list
-        | list[list]
-        | dict
-        | str
-        | Literal[_Keywords.NO_VALUE]
-        | None = _Keywords.NO_VALUE,
-        max_rows: int | None = None,
-        max_cols: str | None = None,
-        label: str | None = None,
-        show_label: bool | None = None,
-        latex_delimiters: list[dict[str, str | bool]] | None = None,
-        scale: int | None = None,
-        min_width: int | None = None,
-        height: int | None = None,
-        interactive: bool | None = None,
-        visible: bool | None = None,
-        line_breaks: bool | None = None,
-    ):
-        warnings.warn(
-            "Using the update method is deprecated. Simply return a new object instead, e.g. `return gr.Dataframe(...)` instead of `return gr.Dataframe.update(...)`."
-        )
-        return {
-            "max_rows": max_rows,
-            "max_cols": max_cols,
-            "label": label,
-            "show_label": show_label,
-            "scale": scale,
-            "min_width": min_width,
-            "height": height,
-            "interactive": interactive,
-            "visible": visible,
-            "value": value,
-            "latex_delimiters": latex_delimiters,
-            "line_breaks": line_breaks,
-            "__type__": "update",
-        }
-
-    def preprocess(self, x: dict) -> pd.DataFrame | np.ndarray | list:
-        """
-        Parameters:
-            x: Dictionary equivalent of DataframeData containing `headers`, `data`, and optionally `metadata` keys
-        Returns:
-            The Dataframe data in requested format
-        """
-        value = DataframeData(**x)
-        if self.type == "pandas":
-            if value.headers is not None:
-                return pd.DataFrame(value.data, columns=value.headers)
-            else:
-                return pd.DataFrame(value.data)
-        if self.type == "numpy":
-            return np.array(value.data)
-        elif self.type == "array":
-            return value.data
-        else:
-            raise ValueError(
-                "Unknown type: "
-                + str(self.type)
-                + ". Please choose from: 'pandas', 'numpy', 'array'."
-            )
-
-    def postprocess(
-        self,
-        y: pd.DataFrame | Styler | np.ndarray | list | list[list] | dict | str | None,
-    ) -> dict:
-        """
-        Parameters:
-            y: dataframe in given format
-        Returns:
-            JSON object with key 'headers' for list of header names, 'data' for 2D array of string or numeric data
-        """
-        if y is None:
-            return self.postprocess(self.empty_input)
-        if isinstance(y, dict):
-            value = DataframeData(**y)
-        elif isinstance(y, Styler):
-            if semantic_version.Version(pd.__version__) < semantic_version.Version(
-                "1.5.0"
-            ):
-                raise ValueError(
-                    "Styler objects are only supported in pandas version 1.5.0 or higher. Please try: `pip install --upgrade pandas` to use this feature."
-                )
-            if self.interactive:
-                warnings.warn(
-                    "Cannot display Styler object in interactive mode. Will display as a regular pandas dataframe instead."
-                )
-            df: pd.DataFrame = y.data  # type: ignore
-            value = DataframeData(
-                headers=list(df.columns),
-                data=df.to_dict(orient="split")["data"],
-                metadata=self.__extract_metadata(y),
-            )
-        elif isinstance(y, (str, pd.DataFrame)):
-            df = pd.read_csv(y) if isinstance(y, str) else y
-            value = DataframeData(
-                headers=list(df.columns),
-                data=df.to_dict(orient="split")["data"],
-            )
-        elif isinstance(y, (np.ndarray, list)):
-            if len(y) == 0:
-                return self.postprocess([[]])
-            if isinstance(y, np.ndarray):
-                y = y.tolist()
-            assert isinstance(y, list), "output cannot be converted to list"
-
-            _headers = self.headers
-            if len(self.headers) < len(y[0]):
-                _headers = [
-                    *self.headers,
-                    *list(range(len(self.headers) + 1, len(y[0]) + 1)),
-                ]
-            elif len(self.headers) > len(y[0]):
-                _headers = self.headers[: len(y[0])]
-
-            value = DataframeData(
-                headers=_headers,
-                data=y,
-            )
-        else:
-            raise ValueError(f"Cannot process value as a Dataframe: {y}")
-        return asdict(value)
-
-    @staticmethod
-    def __extract_metadata(df: Styler) -> dict[str, list[list]]:
-        metadata = {"display_value": []}
-        style_data = df._compute()._translate(None, None)  # type: ignore
-        for i in range(len(style_data["body"])):
-            metadata["display_value"].append([])
-            for j in range(len(style_data["body"][i])):
-                cell_type = style_data["body"][i][j]["type"]
-                if cell_type != "td":
-                    continue
-                display_value = style_data["body"][i][j]["display_value"]
-                metadata["display_value"][i].append(display_value)
-        return metadata
-
-    @staticmethod
-    def __process_counts(count, default=3) -> tuple[int, str]:
-        if count is None:
-            return (default, "dynamic")
-        if type(count) == int or type(count) == float:
-            return (int(count), "dynamic")
-        else:
-            return count
-
-    @staticmethod
-    def __validate_headers(headers: list[str] | None, col_count: int):
-        if headers is not None and len(headers) != col_count:
-            raise ValueError(
-                f"The length of the headers list must be equal to the col_count int.\n"
-                f"The column count is set to {col_count} but `headers` has {len(headers)} items. "
-                f"Check the values passed to `col_count` and `headers`."
-            )
-
-    def as_example(self, input_data: pd.DataFrame | np.ndarray | str | None):
-        if input_data is None:
-            return ""
-        elif isinstance(input_data, pd.DataFrame):
-            return input_data.head(n=5).to_dict(orient="split")["data"]  # type: ignore
-        elif isinstance(input_data, np.ndarray):
-            return input_data.tolist()
-        return input_data
diff --git a/spaces/jpoptum/6-TreemapAndSunburst/app.py b/spaces/jpoptum/6-TreemapAndSunburst/app.py
deleted file mode 100644
index 7e82b33b6fcf4e043710475b5be4d99624c99459..0000000000000000000000000000000000000000
--- a/spaces/jpoptum/6-TreemapAndSunburst/app.py
+++ /dev/null
@@ -1,230 +0,0 @@
-import streamlit as st
-import numpy as np
-import plotly.express as px
-import pandas as pd
-import plotly.graph_objects as go
-
-st.set_page_config(page_title="Plotly Graphing Libraries",layout='wide')
-
-import streamlit as st
-
-uploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True)
-for uploaded_file in uploaded_files:
-    bytes_data = uploaded_file.read()
-    st.write("filename:", uploaded_file.name)
-    st.write(bytes_data)
-    
-    if st.checkbox("FileDetails"):
-
-        filevalue = uploaded_file.getvalue()
-        st.write(filevalue)
-        st.write(uploaded_file.name)
-        st.write(uploaded_file.type)
-        st.write(uploaded_file.size)
-        #st.write(uploaded_file.last_modified)
-        #st.write(uploaded_file.charset)
-        st.write(uploaded_file.getbuffer())
-        st.write(uploaded_file.getbuffer().nbytes)
-        st.write(uploaded_file.getbuffer().tobytes())
-        st.write(uploaded_file.getbuffer().tolist())
-        st.write(uploaded_file.getbuffer().itemsize)
-        st.write(uploaded_file.getbuffer().ndim)
-        st.write(uploaded_file.getbuffer().shape)
-        st.write(uploaded_file.getbuffer().strides)
-        st.write(uploaded_file.getbuffer().suboffsets)
-        st.write(uploaded_file.getbuffer().readonly)
-        st.write(uploaded_file.getbuffer().c_contiguous)
-        st.write(uploaded_file.getbuffer().f_contiguous)
-        st.write(uploaded_file.getbuffer().contiguous)
-        st.write(uploaded_file.getbuffer().itemsize)
-        st.write(uploaded_file.getbuffer().nbytes)
-        st.write(uploaded_file.getbuffer().ndim)
-        st.write(uploaded_file.getbuffer().shape)
-        st.write(uploaded_file.getbuffer().strides)
-        st.write(uploaded_file.getbuffer().suboffsets)
-        st.write(uploaded_file.getbuffer().readonly)
-        st.write(uploaded_file.getbuffer().c_contiguous)
-        st.write(uploaded_file.getbuffer().f_contiguous)
-        st.write(uploaded_file.getbuffer().contiguous)
-        st.write(uploaded_file.getbuffer().itemsize)
-        st.write(uploaded_file.getbuffer().nbytes)
-        st.write(uploaded_file.getbuffer().ndim)
-        st.write(uploaded_file.getbuffer().shape)
-        st.write(uploaded_file.getbuffer().strides)
-        st.write(uploaded_file.getbuffer().suboffsets)
-        st.write(uploaded_file.getbuffer().readonly)
-        st.write(uploaded_file.getbuffer().c_contiguous)
-        st.write(uploaded_file.getbuffer().f_contiguous)
-        myDF = pd.DataFrame(uploaded_file.getbuffer().tolist())
-        
-
-        st.markdown("# Treemaps from upload data file: https://plotly.com/python/treemaps/")
-        #df = myDF.query("year == 2007")
-        df = myDF
-        fig = px.treemap(df, path=[px.Constant("time"), 'message', 'name'], values='content',
-                        color='lifeExp', hover_data=['iso_alpha'],
-                        color_continuous_scale='RdBu',
-                        color_continuous_midpoint=np.average(df['name'], weights=df['content']))  # todo - debug this and get it working with the data
-        fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))
-        #fig.show()
-        st.plotly_chart(fig, use_container_width=True)
-        
-        
-    
-   
-#show replace     
-    if st.checkbox("replace"):
-        mydf = st.dataframe(df)
-        columns = st.selectbox("Select  column", df.columns)
-        old_values = st.multiselect("Current Values",list(df[columns].unique()),list(df[columns].unique()))
-        with st.form(key='my_form'):
-            col1,col2 = st.beta_columns(2)
-            st_input = st.number_input if is_numeric_dtype(df[columns]) else st.text_input
-        with col1:
-            old_val = st_input("old value")
-        with col2:
-            new_val = st_input("new value")
-            if st.form_submit_button("Replace"):
-                df[columns]=df[columns].replace(old_val,new_val)
-                st.success("{} replace with {} successfully ".format(old_val,new_val))
-                excel = df.to_excel(r"F:\book2.xlsx", index = False, header=True,encoding="utf-8")
-                df =pd.read_excel(r"F:\book2.xlsx")       
-                mydf.add_rows(df)    
-
-st.markdown("WebGL Rendering with 1,000,000 Points")
-import plotly.graph_objects as go
-import numpy as np
-N = 1000000
-fig = go.Figure()
-fig.add_trace(
-    go.Scattergl(
-        x = np.random.randn(N),
-        y = np.random.randn(N),
-        mode = 'markers',
-        marker = dict(
-            line = dict(
-                width = 1,
-                color = 'DarkSlateGrey')
-        )
-    )
-)
-#fig.show()
-st.plotly_chart(fig, use_container_width=True)
-
-
-
-st.markdown("# WebGL Graph - ScatterGL")
-fig = go.Figure()
-trace_num = 10
-point_num = 5000
-for i in range(trace_num):
-    fig.add_trace(
-        go.Scattergl(
-                x = np.linspace(0, 1, point_num),
-                y = np.random.randn(point_num)+(i*5)
-        )
-    )
-fig.update_layout(showlegend=False)
-#fig.show()
-st.plotly_chart(fig, use_container_width=True)
-
-
-st.markdown("# Treemaps: https://plotly.com/python/treemaps/")
-df = px.data.gapminder().query("year == 2007")
-fig = px.treemap(df, path=[px.Constant("world"), 'continent', 'country'], values='pop',
-                  color='lifeExp', hover_data=['iso_alpha'],
-                  color_continuous_scale='RdBu',
-                  color_continuous_midpoint=np.average(df['lifeExp'], weights=df['pop']))
-fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))
-#fig.show()
-st.plotly_chart(fig, use_container_width=True)
-
-
-st.markdown("# Sunburst: https://plotly.com/python/sunburst-charts/")
-
-
-st.markdown("# Life Expectancy Sunburst")
-df = px.data.gapminder().query("year == 2007")
-fig = px.sunburst(df, path=['continent', 'country'], values='pop',
-                  color='lifeExp', hover_data=['iso_alpha'],
-                  color_continuous_scale='RdBu',
-                  color_continuous_midpoint=np.average(df['lifeExp'], weights=df['pop']))
-st.plotly_chart(fig, use_container_width=True)
-
-
-st.markdown("# Coffee Aromas and Tastes Sunburst")
-df1 = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/718417069ead87650b90472464c7565dc8c2cb1c/sunburst-coffee-flavors-complete.csv')
-df2 = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/718417069ead87650b90472464c7565dc8c2cb1c/coffee-flavors.csv')
-fig = go.Figure()
-fig.add_trace(go.Sunburst(
-    ids=df1.ids,
-    labels=df1.labels,
-    parents=df1.parents,
-    domain=dict(column=0)
-))
-fig.add_trace(go.Sunburst(
-    ids=df2.ids,
-    labels=df2.labels,
-    parents=df2.parents,
-    domain=dict(column=1),
-    maxdepth=2
-))
-fig.update_layout(
-    grid= dict(columns=2, rows=1),
-    margin = dict(t=0, l=0, r=0, b=0)
-)
-st.plotly_chart(fig, use_container_width=True)
-
-
-
-
-
-# Sunburst
-#data = dict(
-#    character=["Eve", "Cain", "Seth", "Enos", "Noam", "Abel", "Awan", "Enoch", "Azura"],
-#    parent=["", "Eve", "Eve", "Seth", "Seth", "Eve", "Eve", "Awan", "Eve" ],
-#    value=[10, 14, 12, 10, 2, 6, 6, 4, 4])
-#fig = px.sunburst(
-#    data,
-#    names='character',
-#    parents='parent',
-#    values='value',
-#)
-#fig.show()
-#st.plotly_chart(fig, use_container_width=True)
-
-
-df = px.data.tips()
-fig = px.treemap(df, path=[px.Constant("all"), 'sex', 'day', 'time'], 
-                 values='total_bill', color='time',
-                  color_discrete_map={'(?)':'lightgrey', 'Lunch':'gold', 'Dinner':'darkblue'})
-fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))
-#fig.show()
-fig.update_traces(marker=dict(cornerradius=5))
-
-st.plotly_chart(fig, use_container_width=True)
-
-
-df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/96c0bd/sunburst-coffee-flavors-complete.csv')
-fig = go.Figure(go.Treemap(
-    ids = df.ids,
-    labels = df.labels,
-    parents = df.parents,
-    pathbar_textfont_size=15,
-    root_color="lightgrey"
-))
-fig.update_layout(
-    uniformtext=dict(minsize=10, mode='hide'),
-    margin = dict(t=50, l=25, r=25, b=25)
-)
-#fig.show()
-st.plotly_chart(fig, use_container_width=True)
-
-
-df = pd.read_pickle('bloom_dataset.pkl')
-fig = px.treemap(df, path=[px.Constant("ROOTS"), 'Macroarea', 'Family', 'Genus', 'Language', 'dataset_name'],
-                 values='num_bytes', maxdepth=4)
-fig.update_traces(root_color="pink")
-fig.update_layout(margin = dict(t=50, l=25, r=25, b=25))
-
-st.plotly_chart(fig, use_container_width=True)
\ No newline at end of file
diff --git a/spaces/juancopi81/sd-riffusion/spectro.py b/spaces/juancopi81/sd-riffusion/spectro.py
deleted file mode 100644
index a95654f669ad070a7a00154670a52354d473e832..0000000000000000000000000000000000000000
--- a/spaces/juancopi81/sd-riffusion/spectro.py
+++ /dev/null
@@ -1,183 +0,0 @@
-"""
-Audio processing tools to convert between spectrogram images and waveforms.
-"""
-import io
-import typing as T
-
-import numpy as np
-from PIL import Image
-import pydub
-from scipy.io import wavfile
-import torch
-import torchaudio
-
-
-def wav_bytes_from_spectrogram_image(image: Image.Image) -> T.Tuple[io.BytesIO, float]:
-    """
-    Reconstruct a WAV audio clip from a spectrogram image. Also returns the duration in seconds.
-    """
-
-    max_volume = 50
-    power_for_image = 0.25
-    Sxx = spectrogram_from_image(image, max_volume=max_volume, power_for_image=power_for_image)
-
-    sample_rate = 44100  # [Hz]
-    clip_duration_ms = 5000  # [ms]
-
-    bins_per_image = 512
-    n_mels = 512
-
-    # FFT parameters
-    window_duration_ms = 100  # [ms]
-    padded_duration_ms = 400  # [ms]
-    step_size_ms = 10  # [ms]
-
-    # Derived parameters
-    num_samples = int(image.width / float(bins_per_image) * clip_duration_ms) * sample_rate
-    n_fft = int(padded_duration_ms / 1000.0 * sample_rate)
-    hop_length = int(step_size_ms / 1000.0 * sample_rate)
-    win_length = int(window_duration_ms / 1000.0 * sample_rate)
-
-    samples = waveform_from_spectrogram(
-        Sxx=Sxx,
-        n_fft=n_fft,
-        hop_length=hop_length,
-        win_length=win_length,
-        num_samples=num_samples,
-        sample_rate=sample_rate,
-        mel_scale=True,
-        n_mels=n_mels,
-        max_mel_iters=200,
-        num_griffin_lim_iters=32,
-    )
-
-    wav_bytes = io.BytesIO()
-    wavfile.write(wav_bytes, sample_rate, samples.astype(np.int16))
-    wav_bytes.seek(0)
-
-    duration_s = float(len(samples)) / sample_rate
-
-    return wav_bytes, duration_s
-
-
-def spectrogram_from_image(
-    image: Image.Image, max_volume: float = 50, power_for_image: float = 0.25
-) -> np.ndarray:
-    """
-    Compute a spectrogram magnitude array from a spectrogram image.
-    TODO(hayk): Add image_from_spectrogram and call this out as the reverse.
-    """
-    # Convert to a numpy array of floats
-    data = np.array(image).astype(np.float32)
-
-    # Flip Y take a single channel
-    data = data[::-1, :, 0]
-
-    # Invert
-    data = 255 - data
-
-    # Rescale to max volume
-    data = data * max_volume / 255
-
-    # Reverse the power curve
-    data = np.power(data, 1 / power_for_image)
-
-    return data
-
-
-def spectrogram_from_waveform(
-    waveform: np.ndarray,
-    sample_rate: int,
-    n_fft: int,
-    hop_length: int,
-    win_length: int,
-    mel_scale: bool = True,
-    n_mels: int = 512,
-) -> np.ndarray:
-    """
-    Compute a spectrogram from a waveform.
-    """
-
-    spectrogram_func = torchaudio.transforms.Spectrogram(
-        n_fft=n_fft,
-        power=None,
-        hop_length=hop_length,
-        win_length=win_length,
-    )
-
-    waveform_tensor = torch.from_numpy(waveform.astype(np.float32)).reshape(1, -1)
-    Sxx_complex = spectrogram_func(waveform_tensor).numpy()[0]
-
-    Sxx_mag = np.abs(Sxx_complex)
-
-    if mel_scale:
-        mel_scaler = torchaudio.transforms.MelScale(
-            n_mels=n_mels,
-            sample_rate=sample_rate,
-            f_min=0,
-            f_max=10000,
-            n_stft=n_fft // 2 + 1,
-            norm=None,
-            mel_scale="htk",
-        )
-
-        Sxx_mag = mel_scaler(torch.from_numpy(Sxx_mag)).numpy()
-
-    return Sxx_mag
-
-
-def waveform_from_spectrogram(
-    Sxx: np.ndarray,
-    n_fft: int,
-    hop_length: int,
-    win_length: int,
-    num_samples: int,
-    sample_rate: int,
-    mel_scale: bool = True,
-    n_mels: int = 512,
-    max_mel_iters: int = 200,
-    num_griffin_lim_iters: int = 32,
-    device: str = "cuda:0",
-) -> np.ndarray:
-    """
-    Reconstruct a waveform from a spectrogram.
-    This is an approximate inverse of spectrogram_from_waveform, using the Griffin-Lim algorithm
-    to approximate the phase.
-    """
-    Sxx_torch = torch.from_numpy(Sxx).to(device)
-
-    # TODO(hayk): Make this a class that caches the two things
-
-    if mel_scale:
-        mel_inv_scaler = torchaudio.transforms.InverseMelScale(
-            n_mels=n_mels,
-            sample_rate=sample_rate,
-            f_min=0,
-            f_max=10000,
-            n_stft=n_fft // 2 + 1,
-            norm=None,
-            mel_scale="htk",
-            max_iter=max_mel_iters,
-        ).to(device)
-
-        Sxx_torch = mel_inv_scaler(Sxx_torch)
-
-    griffin_lim = torchaudio.transforms.GriffinLim(
-        n_fft=n_fft,
-        win_length=win_length,
-        hop_length=hop_length,
-        power=1.0,
-        n_iter=num_griffin_lim_iters,
-    ).to(device)
-
-    waveform = griffin_lim(Sxx_torch).cpu().numpy()
-
-    return waveform
-
-
-def mp3_bytes_from_wav_bytes(wav_bytes: io.BytesIO) -> io.BytesIO:
-    mp3_bytes = io.BytesIO()
-    sound = pydub.AudioSegment.from_wav(wav_bytes)
-    sound.export(mp3_bytes, format="mp3")
-    mp3_bytes.seek(0)
-    return mp3_bytes
\ No newline at end of file
diff --git a/spaces/justest/ai-support/start_server.sh b/spaces/justest/ai-support/start_server.sh
deleted file mode 100644
index 59b788171d991751816fb2c9a31a5998f1071c2b..0000000000000000000000000000000000000000
--- a/spaces/justest/ai-support/start_server.sh
+++ /dev/null
@@ -1,57 +0,0 @@
-#!/bin/bash
-
-NGX_NAME="${NGX_NAME:-admin}"
-NGX_PASS="${NGX_PASS:-admin}"
-CRYPTPASS=`openssl passwd -apr1 ${NGX_PASS}`
-PORT="${PORT:-8080}"
-
-echo "USERNAME:" $NGX_NAME
-echo "PASSWORD:" $NGX_PASS
-
-echo "${NGX_NAME}:${CRYPTPASS}" > ngpasswd
-
-COMMIT=$(cat /app/openvscode-server/product.json | awk '/commit/{print $4;exit}' FS='[""]')
-sed -i "s/#COMMIT#/$COMMIT/" nginx.conf
-sed -i "s/#PORT#/$PORT/" nginx.conf
-
-set +e
-if [[ ! -z "$REPOS" ]]; then
-  for REPO in $(echo $REPOS | tr ";" "\n")
-  do
-    dir=$(basename "$REPO" .git)
-    echo start to clone initial repo $REPO into $dir
-    git clone --recurse-submodules -j8 --progress $REPO $dir
-    cd $dir
-    [[ -z $(git config user.name) ]] && git config --global user.name "$(git log -1 --pretty=format:'%an')"
-    [[ -z $(git config user.email) ]] && git config --global user.email "$(git log -1 --pretty=format:'%ae')"
-    if [[ -e requirements.txt ]]; then
-      pip install --no-cache-dir --upgrade -r requirements.txt
-    fi
-    if [[ -e package.json ]]; then
-      npm i
-      npm run build
-    fi
-    if [[ -e ecosystem.config.js ]]; then
-      echo use pm2 start
-      pm2 start ecosystem.config.js
-    fi
-    cd ..
-  done
-fi
-[[ -z $(git config --global user.name) ]] && git config --global user.name "$SPACE_AUTHOR_NAME"
-[[ -z $(git config --global user.email) ]] && git config --global user.email "$SPACE_AUTHOR_NAME@hf.co"
-
-git config --global http.postBuffer 524288000
-git config --global push.default current
-
-echo "Starting VSCode Server..."
-vscode=/app/openvscode-server/bin/openvscode-server
-vscode_cli=/app/openvscode-server/bin/remote-cli/openvscode-server
-$vscode --install-extension ms-toolsai.jupyter
-$vscode --install-extension ms-python.python
-ln -s $vscode_cli $(dirname $vscode_cli)/code
-tslab install --prefix /home/user/miniconda/
-set -e
-pm2 start ./auto-commit.js
-nginx -c $PWD/nginx.conf
-exec $vscode --host 0.0.0.0 --port 5050 --without-connection-token \"${@}\" --
diff --git a/spaces/justest/gpt4free/g4f/.v1/unfinished/bing/README.md b/spaces/justest/gpt4free/g4f/.v1/unfinished/bing/README.md
deleted file mode 100644
index 67e8645ced188f048308ad80accee8ef900ef6ef..0000000000000000000000000000000000000000
--- a/spaces/justest/gpt4free/g4f/.v1/unfinished/bing/README.md
+++ /dev/null
@@ -1,2 +0,0 @@
-to do:
-- code refractoring
\ No newline at end of file
diff --git a/spaces/justest/gpt4free/g4f/.v1/unfinished/openprompt/test.py b/spaces/justest/gpt4free/g4f/.v1/unfinished/openprompt/test.py
deleted file mode 100644
index 65319cb60b47350453224eb2d9b0f6095c7629c1..0000000000000000000000000000000000000000
--- a/spaces/justest/gpt4free/g4f/.v1/unfinished/openprompt/test.py
+++ /dev/null
@@ -1,6 +0,0 @@
-access_token = 'eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV'
-supabase_auth_token = '%5B%22eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8%22%2C%22_Zp8uXIA2InTDKYgo8TCqA%22%2Cnull%2Cnull%2Cnull%5D'
-
-idk = [
-    "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOiJhdXRoZW50aWNhdGVkIiwiZXhwIjoxNjgyMjk0ODcxLCJzdWIiOiI4NWNkNTNiNC1lZTUwLTRiMDQtOGJhNS0wNTUyNjk4ODliZDIiLCJlbWFpbCI6ImNsc2J5emdqcGhiQGJ1Z2Zvby5jb20iLCJwaG9uZSI6IiIsImFwcF9tZXRhZGF0YSI6eyJwcm92aWRlciI6ImVtYWlsIiwicHJvdmlkZXJzIjpbImVtYWlsIl19LCJ1c2VyX21ldGFkYXRhIjp7fSwicm9sZSI6ImF1dGhlbnRpY2F0ZWQiLCJhYWwiOiJhYWwxIiwiYW1yIjpbeyJtZXRob2QiOiJvdHAiLCJ0aW1lc3RhbXAiOjE2ODE2OTAwNzF9XSwic2Vzc2lvbl9pZCI6ImY4MTg1YTM5LTkxYzgtNGFmMy1iNzAxLTdhY2MwY2MwMGNlNSJ9.UvcTfpyIM1TdzM8ZV6UAPWfa0rgNq4AiqeD0INy6zV8",
-    "_Zp8uXIA2InTDKYgo8TCqA", None, None, None]
diff --git a/spaces/kainy/rvc_okiba_TTS/lib/infer_pack/models_dml.py b/spaces/kainy/rvc_okiba_TTS/lib/infer_pack/models_dml.py
deleted file mode 100644
index 958d7b29259763d2fea94caf8ba7e314c4a77d05..0000000000000000000000000000000000000000
--- a/spaces/kainy/rvc_okiba_TTS/lib/infer_pack/models_dml.py
+++ /dev/null
@@ -1,1124 +0,0 @@
-import math, pdb, os
-from time import time as ttime
-import torch
-from torch import nn
-from torch.nn import functional as F
-from lib.infer_pack import modules
-from lib.infer_pack import attentions
-from lib.infer_pack import commons
-from lib.infer_pack.commons import init_weights, get_padding
-from torch.nn import Conv1d, ConvTranspose1d, AvgPool1d, Conv2d
-from torch.nn.utils import weight_norm, remove_weight_norm, spectral_norm
-from lib.infer_pack.commons import init_weights
-import numpy as np
-from lib.infer_pack import commons
-
-
-class TextEncoder256(nn.Module):
-    def __init__(
-        self,
-        out_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        f0=True,
-    ):
-        super().__init__()
-        self.out_channels = out_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.emb_phone = nn.Linear(256, hidden_channels)
-        self.lrelu = nn.LeakyReLU(0.1, inplace=True)
-        if f0 == True:
-            self.emb_pitch = nn.Embedding(256, hidden_channels)  # pitch 256
-        self.encoder = attentions.Encoder(
-            hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout
-        )
-        self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
-
-    def forward(self, phone, pitch, lengths):
-        if pitch == None:
-            x = self.emb_phone(phone)
-        else:
-            x = self.emb_phone(phone) + self.emb_pitch(pitch)
-        x = x * math.sqrt(self.hidden_channels)  # [b, t, h]
-        x = self.lrelu(x)
-        x = torch.transpose(x, 1, -1)  # [b, h, t]
-        x_mask = torch.unsqueeze(commons.sequence_mask(lengths, x.size(2)), 1).to(
-            x.dtype
-        )
-        x = self.encoder(x * x_mask, x_mask)
-        stats = self.proj(x) * x_mask
-
-        m, logs = torch.split(stats, self.out_channels, dim=1)
-        return m, logs, x_mask
-
-
-class TextEncoder768(nn.Module):
-    def __init__(
-        self,
-        out_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        f0=True,
-    ):
-        super().__init__()
-        self.out_channels = out_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.emb_phone = nn.Linear(768, hidden_channels)
-        self.lrelu = nn.LeakyReLU(0.1, inplace=True)
-        if f0 == True:
-            self.emb_pitch = nn.Embedding(256, hidden_channels)  # pitch 256
-        self.encoder = attentions.Encoder(
-            hidden_channels, filter_channels, n_heads, n_layers, kernel_size, p_dropout
-        )
-        self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
-
-    def forward(self, phone, pitch, lengths):
-        if pitch == None:
-            x = self.emb_phone(phone)
-        else:
-            x = self.emb_phone(phone) + self.emb_pitch(pitch)
-        x = x * math.sqrt(self.hidden_channels)  # [b, t, h]
-        x = self.lrelu(x)
-        x = torch.transpose(x, 1, -1)  # [b, h, t]
-        x_mask = torch.unsqueeze(commons.sequence_mask(lengths, x.size(2)), 1).to(
-            x.dtype
-        )
-        x = self.encoder(x * x_mask, x_mask)
-        stats = self.proj(x) * x_mask
-
-        m, logs = torch.split(stats, self.out_channels, dim=1)
-        return m, logs, x_mask
-
-
-class ResidualCouplingBlock(nn.Module):
-    def __init__(
-        self,
-        channels,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        n_flows=4,
-        gin_channels=0,
-    ):
-        super().__init__()
-        self.channels = channels
-        self.hidden_channels = hidden_channels
-        self.kernel_size = kernel_size
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.n_flows = n_flows
-        self.gin_channels = gin_channels
-
-        self.flows = nn.ModuleList()
-        for i in range(n_flows):
-            self.flows.append(
-                modules.ResidualCouplingLayer(
-                    channels,
-                    hidden_channels,
-                    kernel_size,
-                    dilation_rate,
-                    n_layers,
-                    gin_channels=gin_channels,
-                    mean_only=True,
-                )
-            )
-            self.flows.append(modules.Flip())
-
-    def forward(self, x, x_mask, g=None, reverse=False):
-        if not reverse:
-            for flow in self.flows:
-                x, _ = flow(x, x_mask, g=g, reverse=reverse)
-        else:
-            for flow in reversed(self.flows):
-                x = flow(x, x_mask, g=g, reverse=reverse)
-        return x
-
-    def remove_weight_norm(self):
-        for i in range(self.n_flows):
-            self.flows[i * 2].remove_weight_norm()
-
-
-class PosteriorEncoder(nn.Module):
-    def __init__(
-        self,
-        in_channels,
-        out_channels,
-        hidden_channels,
-        kernel_size,
-        dilation_rate,
-        n_layers,
-        gin_channels=0,
-    ):
-        super().__init__()
-        self.in_channels = in_channels
-        self.out_channels = out_channels
-        self.hidden_channels = hidden_channels
-        self.kernel_size = kernel_size
-        self.dilation_rate = dilation_rate
-        self.n_layers = n_layers
-        self.gin_channels = gin_channels
-
-        self.pre = nn.Conv1d(in_channels, hidden_channels, 1)
-        self.enc = modules.WN(
-            hidden_channels,
-            kernel_size,
-            dilation_rate,
-            n_layers,
-            gin_channels=gin_channels,
-        )
-        self.proj = nn.Conv1d(hidden_channels, out_channels * 2, 1)
-
-    def forward(self, x, x_lengths, g=None):
-        x_mask = torch.unsqueeze(commons.sequence_mask(x_lengths, x.size(2)), 1).to(
-            x.dtype
-        )
-        x = self.pre(x) * x_mask
-        x = self.enc(x, x_mask, g=g)
-        stats = self.proj(x) * x_mask
-        m, logs = torch.split(stats, self.out_channels, dim=1)
-        z = (m + torch.randn_like(m) * torch.exp(logs)) * x_mask
-        return z, m, logs, x_mask
-
-    def remove_weight_norm(self):
-        self.enc.remove_weight_norm()
-
-
-class Generator(torch.nn.Module):
-    def __init__(
-        self,
-        initial_channel,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        gin_channels=0,
-    ):
-        super(Generator, self).__init__()
-        self.num_kernels = len(resblock_kernel_sizes)
-        self.num_upsamples = len(upsample_rates)
-        self.conv_pre = Conv1d(
-            initial_channel, upsample_initial_channel, 7, 1, padding=3
-        )
-        resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2
-
-        self.ups = nn.ModuleList()
-        for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)):
-            self.ups.append(
-                weight_norm(
-                    ConvTranspose1d(
-                        upsample_initial_channel // (2**i),
-                        upsample_initial_channel // (2 ** (i + 1)),
-                        k,
-                        u,
-                        padding=(k - u) // 2,
-                    )
-                )
-            )
-
-        self.resblocks = nn.ModuleList()
-        for i in range(len(self.ups)):
-            ch = upsample_initial_channel // (2 ** (i + 1))
-            for j, (k, d) in enumerate(
-                zip(resblock_kernel_sizes, resblock_dilation_sizes)
-            ):
-                self.resblocks.append(resblock(ch, k, d))
-
-        self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False)
-        self.ups.apply(init_weights)
-
-        if gin_channels != 0:
-            self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1)
-
-    def forward(self, x, g=None):
-        x = self.conv_pre(x)
-        if g is not None:
-            x = x + self.cond(g)
-
-        for i in range(self.num_upsamples):
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            x = self.ups[i](x)
-            xs = None
-            for j in range(self.num_kernels):
-                if xs is None:
-                    xs = self.resblocks[i * self.num_kernels + j](x)
-                else:
-                    xs += self.resblocks[i * self.num_kernels + j](x)
-            x = xs / self.num_kernels
-        x = F.leaky_relu(x)
-        x = self.conv_post(x)
-        x = torch.tanh(x)
-
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.ups:
-            remove_weight_norm(l)
-        for l in self.resblocks:
-            l.remove_weight_norm()
-
-
-class SineGen(torch.nn.Module):
-    """Definition of sine generator
-    SineGen(samp_rate, harmonic_num = 0,
-            sine_amp = 0.1, noise_std = 0.003,
-            voiced_threshold = 0,
-            flag_for_pulse=False)
-    samp_rate: sampling rate in Hz
-    harmonic_num: number of harmonic overtones (default 0)
-    sine_amp: amplitude of sine-wavefrom (default 0.1)
-    noise_std: std of Gaussian noise (default 0.003)
-    voiced_thoreshold: F0 threshold for U/V classification (default 0)
-    flag_for_pulse: this SinGen is used inside PulseGen (default False)
-    Note: when flag_for_pulse is True, the first time step of a voiced
-        segment is always sin(np.pi) or cos(0)
-    """
-
-    def __init__(
-        self,
-        samp_rate,
-        harmonic_num=0,
-        sine_amp=0.1,
-        noise_std=0.003,
-        voiced_threshold=0,
-        flag_for_pulse=False,
-    ):
-        super(SineGen, self).__init__()
-        self.sine_amp = sine_amp
-        self.noise_std = noise_std
-        self.harmonic_num = harmonic_num
-        self.dim = self.harmonic_num + 1
-        self.sampling_rate = samp_rate
-        self.voiced_threshold = voiced_threshold
-
-    def _f02uv(self, f0):
-        # generate uv signal
-        uv = torch.ones_like(f0)
-        uv = uv * (f0 > self.voiced_threshold)
-        return uv.float()
-
-    def forward(self, f0, upp):
-        """sine_tensor, uv = forward(f0)
-        input F0: tensor(batchsize=1, length, dim=1)
-                  f0 for unvoiced steps should be 0
-        output sine_tensor: tensor(batchsize=1, length, dim)
-        output uv: tensor(batchsize=1, length, 1)
-        """
-        with torch.no_grad():
-            f0 = f0[:, None].transpose(1, 2)
-            f0_buf = torch.zeros(f0.shape[0], f0.shape[1], self.dim, device=f0.device)
-            # fundamental component
-            f0_buf[:, :, 0] = f0[:, :, 0]
-            for idx in np.arange(self.harmonic_num):
-                f0_buf[:, :, idx + 1] = f0_buf[:, :, 0] * (
-                    idx + 2
-                )  # idx + 2: the (idx+1)-th overtone, (idx+2)-th harmonic
-            rad_values = (f0_buf / self.sampling_rate) % 1  ###%1意味着n_har的乘积无法后处理优化
-            rand_ini = torch.rand(
-                f0_buf.shape[0], f0_buf.shape[2], device=f0_buf.device
-            )
-            rand_ini[:, 0] = 0
-            rad_values[:, 0, :] = rad_values[:, 0, :] + rand_ini
-            tmp_over_one = torch.cumsum(rad_values, 1)  # % 1  #####%1意味着后面的cumsum无法再优化
-            tmp_over_one *= upp
-            tmp_over_one = F.interpolate(
-                tmp_over_one.transpose(2, 1),
-                scale_factor=upp,
-                mode="linear",
-                align_corners=True,
-            ).transpose(2, 1)
-            rad_values = F.interpolate(
-                rad_values.transpose(2, 1), scale_factor=upp, mode="nearest"
-            ).transpose(
-                2, 1
-            )  #######
-            tmp_over_one %= 1
-            tmp_over_one_idx = (tmp_over_one[:, 1:, :] - tmp_over_one[:, :-1, :]) < 0
-            cumsum_shift = torch.zeros_like(rad_values)
-            cumsum_shift[:, 1:, :] = tmp_over_one_idx * -1.0
-            sine_waves = torch.sin(
-                torch.cumsum(rad_values + cumsum_shift, dim=1) * 2 * np.pi
-            )
-            sine_waves = sine_waves * self.sine_amp
-            uv = self._f02uv(f0)
-            uv = F.interpolate(
-                uv.transpose(2, 1), scale_factor=upp, mode="nearest"
-            ).transpose(2, 1)
-            noise_amp = uv * self.noise_std + (1 - uv) * self.sine_amp / 3
-            noise = noise_amp * torch.randn_like(sine_waves)
-            sine_waves = sine_waves * uv + noise
-        return sine_waves, uv, noise
-
-
-class SourceModuleHnNSF(torch.nn.Module):
-    """SourceModule for hn-nsf
-    SourceModule(sampling_rate, harmonic_num=0, sine_amp=0.1,
-                 add_noise_std=0.003, voiced_threshod=0)
-    sampling_rate: sampling_rate in Hz
-    harmonic_num: number of harmonic above F0 (default: 0)
-    sine_amp: amplitude of sine source signal (default: 0.1)
-    add_noise_std: std of additive Gaussian noise (default: 0.003)
-        note that amplitude of noise in unvoiced is decided
-        by sine_amp
-    voiced_threshold: threhold to set U/V given F0 (default: 0)
-    Sine_source, noise_source = SourceModuleHnNSF(F0_sampled)
-    F0_sampled (batchsize, length, 1)
-    Sine_source (batchsize, length, 1)
-    noise_source (batchsize, length 1)
-    uv (batchsize, length, 1)
-    """
-
-    def __init__(
-        self,
-        sampling_rate,
-        harmonic_num=0,
-        sine_amp=0.1,
-        add_noise_std=0.003,
-        voiced_threshod=0,
-        is_half=True,
-    ):
-        super(SourceModuleHnNSF, self).__init__()
-
-        self.sine_amp = sine_amp
-        self.noise_std = add_noise_std
-        self.is_half = is_half
-        # to produce sine waveforms
-        self.l_sin_gen = SineGen(
-            sampling_rate, harmonic_num, sine_amp, add_noise_std, voiced_threshod
-        )
-
-        # to merge source harmonics into a single excitation
-        self.l_linear = torch.nn.Linear(harmonic_num + 1, 1)
-        self.l_tanh = torch.nn.Tanh()
-
-    def forward(self, x, upp=None):
-        sine_wavs, uv, _ = self.l_sin_gen(x, upp)
-        if self.is_half:
-            sine_wavs = sine_wavs.half()
-        sine_merge = self.l_tanh(self.l_linear(sine_wavs))
-        return sine_merge, None, None  # noise, uv
-
-
-class GeneratorNSF(torch.nn.Module):
-    def __init__(
-        self,
-        initial_channel,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        gin_channels,
-        sr,
-        is_half=False,
-    ):
-        super(GeneratorNSF, self).__init__()
-        self.num_kernels = len(resblock_kernel_sizes)
-        self.num_upsamples = len(upsample_rates)
-
-        self.f0_upsamp = torch.nn.Upsample(scale_factor=np.prod(upsample_rates))
-        self.m_source = SourceModuleHnNSF(
-            sampling_rate=sr, harmonic_num=0, is_half=is_half
-        )
-        self.noise_convs = nn.ModuleList()
-        self.conv_pre = Conv1d(
-            initial_channel, upsample_initial_channel, 7, 1, padding=3
-        )
-        resblock = modules.ResBlock1 if resblock == "1" else modules.ResBlock2
-
-        self.ups = nn.ModuleList()
-        for i, (u, k) in enumerate(zip(upsample_rates, upsample_kernel_sizes)):
-            c_cur = upsample_initial_channel // (2 ** (i + 1))
-            self.ups.append(
-                weight_norm(
-                    ConvTranspose1d(
-                        upsample_initial_channel // (2**i),
-                        upsample_initial_channel // (2 ** (i + 1)),
-                        k,
-                        u,
-                        padding=(k - u) // 2,
-                    )
-                )
-            )
-            if i + 1 < len(upsample_rates):
-                stride_f0 = np.prod(upsample_rates[i + 1 :])
-                self.noise_convs.append(
-                    Conv1d(
-                        1,
-                        c_cur,
-                        kernel_size=stride_f0 * 2,
-                        stride=stride_f0,
-                        padding=stride_f0 // 2,
-                    )
-                )
-            else:
-                self.noise_convs.append(Conv1d(1, c_cur, kernel_size=1))
-
-        self.resblocks = nn.ModuleList()
-        for i in range(len(self.ups)):
-            ch = upsample_initial_channel // (2 ** (i + 1))
-            for j, (k, d) in enumerate(
-                zip(resblock_kernel_sizes, resblock_dilation_sizes)
-            ):
-                self.resblocks.append(resblock(ch, k, d))
-
-        self.conv_post = Conv1d(ch, 1, 7, 1, padding=3, bias=False)
-        self.ups.apply(init_weights)
-
-        if gin_channels != 0:
-            self.cond = nn.Conv1d(gin_channels, upsample_initial_channel, 1)
-
-        self.upp = np.prod(upsample_rates)
-
-    def forward(self, x, f0, g=None):
-        har_source, noi_source, uv = self.m_source(f0, self.upp)
-        har_source = har_source.transpose(1, 2)
-        x = self.conv_pre(x)
-        if g is not None:
-            x = x + self.cond(g)
-
-        for i in range(self.num_upsamples):
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            x = self.ups[i](x)
-            x_source = self.noise_convs[i](har_source)
-            x = x + x_source
-            xs = None
-            for j in range(self.num_kernels):
-                if xs is None:
-                    xs = self.resblocks[i * self.num_kernels + j](x)
-                else:
-                    xs += self.resblocks[i * self.num_kernels + j](x)
-            x = xs / self.num_kernels
-        x = F.leaky_relu(x)
-        x = self.conv_post(x)
-        x = torch.tanh(x)
-        return x
-
-    def remove_weight_norm(self):
-        for l in self.ups:
-            remove_weight_norm(l)
-        for l in self.resblocks:
-            l.remove_weight_norm()
-
-
-sr2sr = {
-    "32k": 32000,
-    "40k": 40000,
-    "48k": 48000,
-}
-
-
-class SynthesizerTrnMs256NSFsid(nn.Module):
-    def __init__(
-        self,
-        spec_channels,
-        segment_size,
-        inter_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        spk_embed_dim,
-        gin_channels,
-        sr,
-        **kwargs
-    ):
-        super().__init__()
-        if type(sr) == type("strr"):
-            sr = sr2sr[sr]
-        self.spec_channels = spec_channels
-        self.inter_channels = inter_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.resblock = resblock
-        self.resblock_kernel_sizes = resblock_kernel_sizes
-        self.resblock_dilation_sizes = resblock_dilation_sizes
-        self.upsample_rates = upsample_rates
-        self.upsample_initial_channel = upsample_initial_channel
-        self.upsample_kernel_sizes = upsample_kernel_sizes
-        self.segment_size = segment_size
-        self.gin_channels = gin_channels
-        # self.hop_length = hop_length#
-        self.spk_embed_dim = spk_embed_dim
-        self.enc_p = TextEncoder256(
-            inter_channels,
-            hidden_channels,
-            filter_channels,
-            n_heads,
-            n_layers,
-            kernel_size,
-            p_dropout,
-        )
-        self.dec = GeneratorNSF(
-            inter_channels,
-            resblock,
-            resblock_kernel_sizes,
-            resblock_dilation_sizes,
-            upsample_rates,
-            upsample_initial_channel,
-            upsample_kernel_sizes,
-            gin_channels=gin_channels,
-            sr=sr,
-            is_half=kwargs["is_half"],
-        )
-        self.enc_q = PosteriorEncoder(
-            spec_channels,
-            inter_channels,
-            hidden_channels,
-            5,
-            1,
-            16,
-            gin_channels=gin_channels,
-        )
-        self.flow = ResidualCouplingBlock(
-            inter_channels, hidden_channels, 5, 1, 3, gin_channels=gin_channels
-        )
-        self.emb_g = nn.Embedding(self.spk_embed_dim, gin_channels)
-        print("gin_channels:", gin_channels, "self.spk_embed_dim:", self.spk_embed_dim)
-
-    def remove_weight_norm(self):
-        self.dec.remove_weight_norm()
-        self.flow.remove_weight_norm()
-        self.enc_q.remove_weight_norm()
-
-    def forward(
-        self, phone, phone_lengths, pitch, pitchf, y, y_lengths, ds
-    ):  # 这里ds是id，[bs,1]
-        # print(1,pitch.shape)#[bs,t]
-        g = self.emb_g(ds).unsqueeze(-1)  # [b, 256, 1]##1是t，广播的
-        m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths)
-        z, m_q, logs_q, y_mask = self.enc_q(y, y_lengths, g=g)
-        z_p = self.flow(z, y_mask, g=g)
-        z_slice, ids_slice = commons.rand_slice_segments(
-            z, y_lengths, self.segment_size
-        )
-        # print(-1,pitchf.shape,ids_slice,self.segment_size,self.hop_length,self.segment_size//self.hop_length)
-        pitchf = commons.slice_segments2(pitchf, ids_slice, self.segment_size)
-        # print(-2,pitchf.shape,z_slice.shape)
-        o = self.dec(z_slice, pitchf, g=g)
-        return o, ids_slice, x_mask, y_mask, (z, z_p, m_p, logs_p, m_q, logs_q)
-
-    def infer(self, phone, phone_lengths, pitch, nsff0, sid, max_len=None):
-        g = self.emb_g(sid).unsqueeze(-1)
-        m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths)
-        z_p = (m_p + torch.exp(logs_p) * torch.randn_like(m_p) * 0.66666) * x_mask
-        z = self.flow(z_p, x_mask, g=g, reverse=True)
-        o = self.dec((z * x_mask)[:, :, :max_len], nsff0, g=g)
-        return o, x_mask, (z, z_p, m_p, logs_p)
-
-
-class SynthesizerTrnMs768NSFsid(nn.Module):
-    def __init__(
-        self,
-        spec_channels,
-        segment_size,
-        inter_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        spk_embed_dim,
-        gin_channels,
-        sr,
-        **kwargs
-    ):
-        super().__init__()
-        if type(sr) == type("strr"):
-            sr = sr2sr[sr]
-        self.spec_channels = spec_channels
-        self.inter_channels = inter_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.resblock = resblock
-        self.resblock_kernel_sizes = resblock_kernel_sizes
-        self.resblock_dilation_sizes = resblock_dilation_sizes
-        self.upsample_rates = upsample_rates
-        self.upsample_initial_channel = upsample_initial_channel
-        self.upsample_kernel_sizes = upsample_kernel_sizes
-        self.segment_size = segment_size
-        self.gin_channels = gin_channels
-        # self.hop_length = hop_length#
-        self.spk_embed_dim = spk_embed_dim
-        self.enc_p = TextEncoder768(
-            inter_channels,
-            hidden_channels,
-            filter_channels,
-            n_heads,
-            n_layers,
-            kernel_size,
-            p_dropout,
-        )
-        self.dec = GeneratorNSF(
-            inter_channels,
-            resblock,
-            resblock_kernel_sizes,
-            resblock_dilation_sizes,
-            upsample_rates,
-            upsample_initial_channel,
-            upsample_kernel_sizes,
-            gin_channels=gin_channels,
-            sr=sr,
-            is_half=kwargs["is_half"],
-        )
-        self.enc_q = PosteriorEncoder(
-            spec_channels,
-            inter_channels,
-            hidden_channels,
-            5,
-            1,
-            16,
-            gin_channels=gin_channels,
-        )
-        self.flow = ResidualCouplingBlock(
-            inter_channels, hidden_channels, 5, 1, 3, gin_channels=gin_channels
-        )
-        self.emb_g = nn.Embedding(self.spk_embed_dim, gin_channels)
-        print("gin_channels:", gin_channels, "self.spk_embed_dim:", self.spk_embed_dim)
-
-    def remove_weight_norm(self):
-        self.dec.remove_weight_norm()
-        self.flow.remove_weight_norm()
-        self.enc_q.remove_weight_norm()
-
-    def forward(
-        self, phone, phone_lengths, pitch, pitchf, y, y_lengths, ds
-    ):  # 这里ds是id，[bs,1]
-        # print(1,pitch.shape)#[bs,t]
-        g = self.emb_g(ds).unsqueeze(-1)  # [b, 256, 1]##1是t，广播的
-        m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths)
-        z, m_q, logs_q, y_mask = self.enc_q(y, y_lengths, g=g)
-        z_p = self.flow(z, y_mask, g=g)
-        z_slice, ids_slice = commons.rand_slice_segments(
-            z, y_lengths, self.segment_size
-        )
-        # print(-1,pitchf.shape,ids_slice,self.segment_size,self.hop_length,self.segment_size//self.hop_length)
-        pitchf = commons.slice_segments2(pitchf, ids_slice, self.segment_size)
-        # print(-2,pitchf.shape,z_slice.shape)
-        o = self.dec(z_slice, pitchf, g=g)
-        return o, ids_slice, x_mask, y_mask, (z, z_p, m_p, logs_p, m_q, logs_q)
-
-    def infer(self, phone, phone_lengths, pitch, nsff0, sid, max_len=None):
-        g = self.emb_g(sid).unsqueeze(-1)
-        m_p, logs_p, x_mask = self.enc_p(phone, pitch, phone_lengths)
-        z_p = (m_p + torch.exp(logs_p) * torch.randn_like(m_p) * 0.66666) * x_mask
-        z = self.flow(z_p, x_mask, g=g, reverse=True)
-        o = self.dec((z * x_mask)[:, :, :max_len], nsff0, g=g)
-        return o, x_mask, (z, z_p, m_p, logs_p)
-
-
-class SynthesizerTrnMs256NSFsid_nono(nn.Module):
-    def __init__(
-        self,
-        spec_channels,
-        segment_size,
-        inter_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        spk_embed_dim,
-        gin_channels,
-        sr=None,
-        **kwargs
-    ):
-        super().__init__()
-        self.spec_channels = spec_channels
-        self.inter_channels = inter_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.resblock = resblock
-        self.resblock_kernel_sizes = resblock_kernel_sizes
-        self.resblock_dilation_sizes = resblock_dilation_sizes
-        self.upsample_rates = upsample_rates
-        self.upsample_initial_channel = upsample_initial_channel
-        self.upsample_kernel_sizes = upsample_kernel_sizes
-        self.segment_size = segment_size
-        self.gin_channels = gin_channels
-        # self.hop_length = hop_length#
-        self.spk_embed_dim = spk_embed_dim
-        self.enc_p = TextEncoder256(
-            inter_channels,
-            hidden_channels,
-            filter_channels,
-            n_heads,
-            n_layers,
-            kernel_size,
-            p_dropout,
-            f0=False,
-        )
-        self.dec = Generator(
-            inter_channels,
-            resblock,
-            resblock_kernel_sizes,
-            resblock_dilation_sizes,
-            upsample_rates,
-            upsample_initial_channel,
-            upsample_kernel_sizes,
-            gin_channels=gin_channels,
-        )
-        self.enc_q = PosteriorEncoder(
-            spec_channels,
-            inter_channels,
-            hidden_channels,
-            5,
-            1,
-            16,
-            gin_channels=gin_channels,
-        )
-        self.flow = ResidualCouplingBlock(
-            inter_channels, hidden_channels, 5, 1, 3, gin_channels=gin_channels
-        )
-        self.emb_g = nn.Embedding(self.spk_embed_dim, gin_channels)
-        print("gin_channels:", gin_channels, "self.spk_embed_dim:", self.spk_embed_dim)
-
-    def remove_weight_norm(self):
-        self.dec.remove_weight_norm()
-        self.flow.remove_weight_norm()
-        self.enc_q.remove_weight_norm()
-
-    def forward(self, phone, phone_lengths, y, y_lengths, ds):  # 这里ds是id，[bs,1]
-        g = self.emb_g(ds).unsqueeze(-1)  # [b, 256, 1]##1是t，广播的
-        m_p, logs_p, x_mask = self.enc_p(phone, None, phone_lengths)
-        z, m_q, logs_q, y_mask = self.enc_q(y, y_lengths, g=g)
-        z_p = self.flow(z, y_mask, g=g)
-        z_slice, ids_slice = commons.rand_slice_segments(
-            z, y_lengths, self.segment_size
-        )
-        o = self.dec(z_slice, g=g)
-        return o, ids_slice, x_mask, y_mask, (z, z_p, m_p, logs_p, m_q, logs_q)
-
-    def infer(self, phone, phone_lengths, sid, max_len=None):
-        g = self.emb_g(sid).unsqueeze(-1)
-        m_p, logs_p, x_mask = self.enc_p(phone, None, phone_lengths)
-        z_p = (m_p + torch.exp(logs_p) * torch.randn_like(m_p) * 0.66666) * x_mask
-        z = self.flow(z_p, x_mask, g=g, reverse=True)
-        o = self.dec((z * x_mask)[:, :, :max_len], g=g)
-        return o, x_mask, (z, z_p, m_p, logs_p)
-
-
-class SynthesizerTrnMs768NSFsid_nono(nn.Module):
-    def __init__(
-        self,
-        spec_channels,
-        segment_size,
-        inter_channels,
-        hidden_channels,
-        filter_channels,
-        n_heads,
-        n_layers,
-        kernel_size,
-        p_dropout,
-        resblock,
-        resblock_kernel_sizes,
-        resblock_dilation_sizes,
-        upsample_rates,
-        upsample_initial_channel,
-        upsample_kernel_sizes,
-        spk_embed_dim,
-        gin_channels,
-        sr=None,
-        **kwargs
-    ):
-        super().__init__()
-        self.spec_channels = spec_channels
-        self.inter_channels = inter_channels
-        self.hidden_channels = hidden_channels
-        self.filter_channels = filter_channels
-        self.n_heads = n_heads
-        self.n_layers = n_layers
-        self.kernel_size = kernel_size
-        self.p_dropout = p_dropout
-        self.resblock = resblock
-        self.resblock_kernel_sizes = resblock_kernel_sizes
-        self.resblock_dilation_sizes = resblock_dilation_sizes
-        self.upsample_rates = upsample_rates
-        self.upsample_initial_channel = upsample_initial_channel
-        self.upsample_kernel_sizes = upsample_kernel_sizes
-        self.segment_size = segment_size
-        self.gin_channels = gin_channels
-        # self.hop_length = hop_length#
-        self.spk_embed_dim = spk_embed_dim
-        self.enc_p = TextEncoder768(
-            inter_channels,
-            hidden_channels,
-            filter_channels,
-            n_heads,
-            n_layers,
-            kernel_size,
-            p_dropout,
-            f0=False,
-        )
-        self.dec = Generator(
-            inter_channels,
-            resblock,
-            resblock_kernel_sizes,
-            resblock_dilation_sizes,
-            upsample_rates,
-            upsample_initial_channel,
-            upsample_kernel_sizes,
-            gin_channels=gin_channels,
-        )
-        self.enc_q = PosteriorEncoder(
-            spec_channels,
-            inter_channels,
-            hidden_channels,
-            5,
-            1,
-            16,
-            gin_channels=gin_channels,
-        )
-        self.flow = ResidualCouplingBlock(
-            inter_channels, hidden_channels, 5, 1, 3, gin_channels=gin_channels
-        )
-        self.emb_g = nn.Embedding(self.spk_embed_dim, gin_channels)
-        print("gin_channels:", gin_channels, "self.spk_embed_dim:", self.spk_embed_dim)
-
-    def remove_weight_norm(self):
-        self.dec.remove_weight_norm()
-        self.flow.remove_weight_norm()
-        self.enc_q.remove_weight_norm()
-
-    def forward(self, phone, phone_lengths, y, y_lengths, ds):  # 这里ds是id，[bs,1]
-        g = self.emb_g(ds).unsqueeze(-1)  # [b, 256, 1]##1是t，广播的
-        m_p, logs_p, x_mask = self.enc_p(phone, None, phone_lengths)
-        z, m_q, logs_q, y_mask = self.enc_q(y, y_lengths, g=g)
-        z_p = self.flow(z, y_mask, g=g)
-        z_slice, ids_slice = commons.rand_slice_segments(
-            z, y_lengths, self.segment_size
-        )
-        o = self.dec(z_slice, g=g)
-        return o, ids_slice, x_mask, y_mask, (z, z_p, m_p, logs_p, m_q, logs_q)
-
-    def infer(self, phone, phone_lengths, sid, max_len=None):
-        g = self.emb_g(sid).unsqueeze(-1)
-        m_p, logs_p, x_mask = self.enc_p(phone, None, phone_lengths)
-        z_p = (m_p + torch.exp(logs_p) * torch.randn_like(m_p) * 0.66666) * x_mask
-        z = self.flow(z_p, x_mask, g=g, reverse=True)
-        o = self.dec((z * x_mask)[:, :, :max_len], g=g)
-        return o, x_mask, (z, z_p, m_p, logs_p)
-
-
-class MultiPeriodDiscriminator(torch.nn.Module):
-    def __init__(self, use_spectral_norm=False):
-        super(MultiPeriodDiscriminator, self).__init__()
-        periods = [2, 3, 5, 7, 11, 17]
-        # periods = [3, 5, 7, 11, 17, 23, 37]
-
-        discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)]
-        discs = discs + [
-            DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods
-        ]
-        self.discriminators = nn.ModuleList(discs)
-
-    def forward(self, y, y_hat):
-        y_d_rs = []  #
-        y_d_gs = []
-        fmap_rs = []
-        fmap_gs = []
-        for i, d in enumerate(self.discriminators):
-            y_d_r, fmap_r = d(y)
-            y_d_g, fmap_g = d(y_hat)
-            # for j in range(len(fmap_r)):
-            #     print(i,j,y.shape,y_hat.shape,fmap_r[j].shape,fmap_g[j].shape)
-            y_d_rs.append(y_d_r)
-            y_d_gs.append(y_d_g)
-            fmap_rs.append(fmap_r)
-            fmap_gs.append(fmap_g)
-
-        return y_d_rs, y_d_gs, fmap_rs, fmap_gs
-
-
-class MultiPeriodDiscriminatorV2(torch.nn.Module):
-    def __init__(self, use_spectral_norm=False):
-        super(MultiPeriodDiscriminatorV2, self).__init__()
-        # periods = [2, 3, 5, 7, 11, 17]
-        periods = [2, 3, 5, 7, 11, 17, 23, 37]
-
-        discs = [DiscriminatorS(use_spectral_norm=use_spectral_norm)]
-        discs = discs + [
-            DiscriminatorP(i, use_spectral_norm=use_spectral_norm) for i in periods
-        ]
-        self.discriminators = nn.ModuleList(discs)
-
-    def forward(self, y, y_hat):
-        y_d_rs = []  #
-        y_d_gs = []
-        fmap_rs = []
-        fmap_gs = []
-        for i, d in enumerate(self.discriminators):
-            y_d_r, fmap_r = d(y)
-            y_d_g, fmap_g = d(y_hat)
-            # for j in range(len(fmap_r)):
-            #     print(i,j,y.shape,y_hat.shape,fmap_r[j].shape,fmap_g[j].shape)
-            y_d_rs.append(y_d_r)
-            y_d_gs.append(y_d_g)
-            fmap_rs.append(fmap_r)
-            fmap_gs.append(fmap_g)
-
-        return y_d_rs, y_d_gs, fmap_rs, fmap_gs
-
-
-class DiscriminatorS(torch.nn.Module):
-    def __init__(self, use_spectral_norm=False):
-        super(DiscriminatorS, self).__init__()
-        norm_f = weight_norm if use_spectral_norm == False else spectral_norm
-        self.convs = nn.ModuleList(
-            [
-                norm_f(Conv1d(1, 16, 15, 1, padding=7)),
-                norm_f(Conv1d(16, 64, 41, 4, groups=4, padding=20)),
-                norm_f(Conv1d(64, 256, 41, 4, groups=16, padding=20)),
-                norm_f(Conv1d(256, 1024, 41, 4, groups=64, padding=20)),
-                norm_f(Conv1d(1024, 1024, 41, 4, groups=256, padding=20)),
-                norm_f(Conv1d(1024, 1024, 5, 1, padding=2)),
-            ]
-        )
-        self.conv_post = norm_f(Conv1d(1024, 1, 3, 1, padding=1))
-
-    def forward(self, x):
-        fmap = []
-
-        for l in self.convs:
-            x = l(x)
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            fmap.append(x)
-        x = self.conv_post(x)
-        fmap.append(x)
-        x = torch.flatten(x, 1, -1)
-
-        return x, fmap
-
-
-class DiscriminatorP(torch.nn.Module):
-    def __init__(self, period, kernel_size=5, stride=3, use_spectral_norm=False):
-        super(DiscriminatorP, self).__init__()
-        self.period = period
-        self.use_spectral_norm = use_spectral_norm
-        norm_f = weight_norm if use_spectral_norm == False else spectral_norm
-        self.convs = nn.ModuleList(
-            [
-                norm_f(
-                    Conv2d(
-                        1,
-                        32,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        32,
-                        128,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        128,
-                        512,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        512,
-                        1024,
-                        (kernel_size, 1),
-                        (stride, 1),
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-                norm_f(
-                    Conv2d(
-                        1024,
-                        1024,
-                        (kernel_size, 1),
-                        1,
-                        padding=(get_padding(kernel_size, 1), 0),
-                    )
-                ),
-            ]
-        )
-        self.conv_post = norm_f(Conv2d(1024, 1, (3, 1), 1, padding=(1, 0)))
-
-    def forward(self, x):
-        fmap = []
-
-        # 1d to 2d
-        b, c, t = x.shape
-        if t % self.period != 0:  # pad first
-            n_pad = self.period - (t % self.period)
-            x = F.pad(x, (0, n_pad), "reflect")
-            t = t + n_pad
-        x = x.view(b, c, t // self.period, self.period)
-
-        for l in self.convs:
-            x = l(x)
-            x = F.leaky_relu(x, modules.LRELU_SLOPE)
-            fmap.append(x)
-        x = self.conv_post(x)
-        fmap.append(x)
-        x = torch.flatten(x, 1, -1)
-
-        return x, fmap
diff --git a/spaces/katanaml-org/sparrow-ui/views/dashboard.py b/spaces/katanaml-org/sparrow-ui/views/dashboard.py
deleted file mode 100644
index 7eeedac204956f9f04ddbf5aaf3782bd1325cba1..0000000000000000000000000000000000000000
--- a/spaces/katanaml-org/sparrow-ui/views/dashboard.py
+++ /dev/null
@@ -1,378 +0,0 @@
-import streamlit as st
-import numpy as np
-import pandas as pd
-import json
-import altair as alt
-from pathlib import Path
-import requests
-
-
-class Dashboard:
-    class Model:
-        pageTitle = "Dashboard"
-
-        wordsTitle = "Words"
-
-        inferenceTimeTitle = "Inference Time"
-
-        documentsTitle = "Documents"
-
-        dailyInferenceTitle = "Top Daily Inference"
-
-        accuracyTitle = "Mean Accuracy"
-
-        titleModelEval = "## Evaluation Accuracy"
-        titleInferencePerformance = "## Inference Performance"
-        titleDatasetInfo = "## Dataset Info"
-        titleDataAnnotation = "## Data Annotation"
-        titleTrainingPerformance = "## Training Performance"
-        titleEvaluationPerformance = "## Evaluation Performance"
-
-        status_file = "docs/status.json"
-        annotation_files_dir = "docs/json"
-
-    def view(self, model):
-        # st.title(model.pageTitle)
-
-        api_url = "https://katanaml-org-sparrow-ml.hf.space/api-inference/v1/sparrow-ml/statistics"
-        json_data_inference = []
-        response = requests.get(api_url)
-        if response.status_code == 200:
-            json_data_inference = response.json()
-        else:
-            print(f"Error: Unable to fetch data from the API (status code {response.status_code})")
-
-        api_url_t = "https://katanaml-org-sparrow-ml.hf.space/api-training/v1/sparrow-ml/statistics/training"
-        json_data_training = []
-        response_t = requests.get(api_url_t)
-        if response_t.status_code == 200:
-            json_data_training = response_t.json()
-        else:
-            print(f"Error: Unable to fetch data from the API (status code {response_t.status_code})")
-
-        api_url_e = "https://katanaml-org-sparrow-ml.hf.space/api-training/v1/sparrow-ml/statistics/evaluate"
-        json_data_evaluate = []
-        response_e = requests.get(api_url_e)
-        if response_e.status_code == 200:
-            json_data_evaluate = response_e.json()
-        else:
-            print(f"Error: Unable to fetch data from the API (status code {response_e.status_code})")
-
-        with st.container():
-            col1, col2, col3, col4, col5 = st.columns(5)
-
-            with col1:
-                words_count = 0
-                delta_words = 0
-
-                if len(json_data_inference) > 3:
-                    for i in range(0, len(json_data_inference)):
-                        words_count = words_count + json_data_inference[i][1]
-
-                    avg_word_count = words_count / len(json_data_inference)
-                    avg_word_last = (json_data_inference[len(json_data_inference) - 1][1]
-                                     + json_data_inference[len(json_data_inference) - 2][1] +
-                                     json_data_inference[len(json_data_inference) - 3][1]) / 3
-
-                    if avg_word_last >= avg_word_count:
-                        delta_words = round(100 - ((avg_word_count * 100) / avg_word_last), 2)
-                    else:
-                        delta_words = round(100 - ((avg_word_last * 100) / avg_word_count), 2) * -1
-
-                    words_count = words_count / 1000
-                st.metric(label=model.wordsTitle, value=str(words_count) + 'K', delta=str(delta_words) + "%")
-
-            with col2:
-                docs_count = len(json_data_inference)
-                delta_docs = 0
-
-                if docs_count > 3:
-                    inference_dates = []
-                    for i in range(0, len(json_data_inference)):
-                        inference_dates.append(json_data_inference[i][4].split(" ")[0])
-
-                    inference_dates_unique = []
-                    for item in inference_dates:
-                        if item not in inference_dates_unique:
-                            inference_dates_unique.append(item)
-
-                    if len(inference_dates_unique) > 3:
-                        inference_dates_dict = {}
-                        for i, key in enumerate(inference_dates_unique):
-                            inference_dates_dict[key] = [0]
-
-                        for i in range(0, len(json_data_inference)):
-                            inference_dates_dict[json_data_inference[i][4].split(" ")[0]][0] = \
-                                inference_dates_dict[json_data_inference[i][4].split(" ")[0]][0] + 1
-
-                        # calculate average for values from inference_dates_dict
-                        avg_value = 0
-                        for key, value in inference_dates_dict.items():
-                            avg_value = avg_value + value[0]
-                        avg_value = round(avg_value / len(inference_dates_dict), 2)
-
-                        # calculate average for last 3 values from inference_dates_dict
-                        avg_value_last = 0
-                        for i in range(1, 4):
-                            avg_value_last = avg_value_last + inference_dates_dict[inference_dates_unique[len(inference_dates_unique) - i]][0]
-                        avg_value_last = round(avg_value_last / 3, 2)
-
-                        if avg_value_last > avg_value:
-                            delta_docs = round(100 - ((avg_value * 100) / avg_value_last), 2)
-                        else:
-                            delta_docs = round(100 - ((avg_value_last * 100) / avg_value), 2) * -1
-
-                st.metric(label=model.documentsTitle, value=docs_count, delta=str(delta_docs) + "%")
-
-            with col3:
-                inference_dates = []
-                for i in range(0, len(json_data_inference)):
-                    inference_dates.append(json_data_inference[i][4].split(" ")[0])
-
-                inference_dates_unique = []
-                for item in inference_dates:
-                    if item not in inference_dates_unique:
-                        inference_dates_unique.append(item)
-
-                inference_dates_dict = {}
-                for i, key in enumerate(inference_dates_unique):
-                    inference_dates_dict[key] = [0]
-
-                for i in range(0, len(json_data_inference)):
-                    inference_dates_dict[json_data_inference[i][4].split(" ")[0]][0] = \
-                        inference_dates_dict[json_data_inference[i][4].split(" ")[0]][0] + 1
-
-                # loop through the dictionary and find the max value
-                max_value = 0
-                for key, value in inference_dates_dict.items():
-                    if value[0] > max_value:
-                        max_value = value[0]
-
-                # calculate average for values from inference_dates_dict
-                avg_value = 0
-                for key, value in inference_dates_dict.items():
-                    avg_value = avg_value + value[0]
-                avg_value = round(avg_value / len(inference_dates_dict), 2)
-
-                avg_delta = round(100 - ((avg_value * 100) / max_value), 2)
-
-                st.metric(label=model.dailyInferenceTitle, value=max_value, delta=str(avg_delta) + "%")
-
-            with col4:
-                inference_time_avg = 0
-
-                # calculate inference time average
-                for i in range(0, len(json_data_inference)):
-                    inference_time_avg = inference_time_avg + json_data_inference[i][0]
-                inference_time_avg = round(inference_time_avg / len(json_data_inference), 2)
-
-                delta_time = 0
-                if len(json_data_inference) > 3:
-                    avg_time_last = (json_data_inference[len(json_data_inference) - 1][0] +
-                                     json_data_inference[len(json_data_inference) - 2][0] +
-                                     json_data_inference[len(json_data_inference) - 3][0]) / 3
-
-                    if avg_time_last > inference_time_avg:
-                        delta_time = round(100 - ((inference_time_avg * 100) / avg_time_last), 2)
-                    else:
-                        delta_time = round(100 - ((avg_time_last * 100) / inference_time_avg), 2) * -1
-
-                st.metric(label=model.inferenceTimeTitle, value=str(inference_time_avg) + " s", delta=str(delta_time) + "%",
-                          delta_color="inverse")
-
-            with col5:
-                models_unique = []
-                models_dict = {}
-                for i in range(0, len(json_data_evaluate)):
-                    if json_data_evaluate[i][3] not in models_unique:
-                        models_unique.append(json_data_evaluate[i][3])
-                        models_dict[json_data_evaluate[i][3]] = json_data_evaluate[i][1]['mean_accuracy']
-
-                avg_accuracy = 0
-                for key, value in models_dict.items():
-                    avg_accuracy = avg_accuracy + value
-                avg_accuracy = round(avg_accuracy / len(models_dict), 2)
-
-                if len(models_unique) > 3:
-                    # calculate average accuracy for last 3 values
-                    avg_accuracy_last = 0
-                    for i in range(1, 4):
-                        avg_accuracy_last = avg_accuracy_last + models_dict[models_unique[len(models_unique) - i]]
-                    avg_accuracy_last = round(avg_accuracy_last / 3, 2)
-                else:
-                    avg_accuracy_last = avg_accuracy
-
-                if avg_accuracy_last > avg_accuracy:
-                    delta_accuracy = round(100 - ((avg_accuracy * 100) / avg_accuracy_last), 2)
-                else:
-                    delta_accuracy = round(100 - ((avg_accuracy_last * 100) / avg_accuracy), 2) * -1
-
-                st.metric(label=model.accuracyTitle, value=avg_accuracy, delta=str(delta_accuracy) + "%",
-                          delta_color="inverse")
-
-            st.markdown("---")
-
-
-        with st.container():
-            col1, col2 = st.columns(2)
-
-            with col1:
-                st.write(model.titleInferencePerformance)
-
-                models_dict = {}
-
-                models = []
-                for i in range(0, len(json_data_inference)):
-                    models.append(json_data_inference[i][3])
-
-                models_unique = []
-                for item in models:
-                    if item not in models_unique:
-                        models_unique.append(item)
-
-                for i, key in enumerate(models_unique):
-                    models_dict[key] = []
-
-                for i in range(0, len(json_data_inference)):
-                    models_dict[json_data_inference[i][3]].append(round(json_data_inference[i][0]))
-
-                data = pd.DataFrame(models_dict)
-                st.line_chart(data)
-
-            with col2:
-                st.write(model.titleModelEval)
-
-                models_unique = []
-                models_dict = {}
-                for i in range(0, len(json_data_evaluate)):
-                    if json_data_evaluate[i][3] not in models_unique:
-                        models_unique.append(json_data_evaluate[i][3])
-                        models_dict[json_data_evaluate[i][3]] = json_data_evaluate[i][1]['accuracies']
-
-                data = pd.DataFrame(models_dict)
-                st.line_chart(data)
-
-        st.markdown("---")
-
-        with st.container():
-            col1, col2, col3 = st.columns(3)
-
-            with col1:
-                with st.container():
-                    st.write(model.titleDataAnnotation)
-
-                    total, completed, in_progress = self.calculate_annotation_stats(model)
-
-                    data = pd.DataFrame({"Status": ["Completed", "In Progress"], "Value": [completed, in_progress]})
-
-                    # Create a horizontal bar chart
-                    chart = alt.Chart(data).mark_bar().encode(
-                        x='Value:Q',
-                        y=alt.Y('Status:N', sort='-x'),
-                        color=alt.Color('Status:N', legend=None)
-                    )
-
-                    st.altair_chart(chart)
-            with col2:
-                with st.container():
-                    st.write(model.titleDatasetInfo)
-
-                    api_url = "https://katanaml-org-sparrow-data.hf.space/api-dataset/v1/sparrow-data/dataset_info"
-
-                    # Make the GET request
-                    response = requests.get(api_url)
-
-                    # Check if the request was successful (status code 200)
-                    names = []
-                    rows = []
-                    if response.status_code == 200:
-                        # Convert the response content to a JSON object
-                        json_data = response.json()
-
-                        for i in range(0, len(json_data['splits'])):
-                            names.append(json_data['splits'][i]['name'])
-                            rows.append(json_data['splits'][i]['number_of_rows'])
-                    else:
-                        print(f"Error: Unable to fetch data from the API (status code {response.status_code})")
-
-                    data = pd.DataFrame({"Dataset": names, "Value": rows})
-
-                    # Create a horizontal bar chart
-                    chart = alt.Chart(data).mark_bar().encode(
-                        x='Value:Q',
-                        y=alt.Y('Dataset:N', sort='-x'),
-                        color=alt.Color('Dataset:N', legend=None)
-                    )
-
-                    st.altair_chart(chart)
-            with col3:
-                with st.container():
-                    st.write(model.titleTrainingPerformance)
-
-                    models_dict = {}
-
-                    for i in range(0, len(json_data_training)):
-                        models_dict[i] = round(json_data_training[i][0])
-
-                    data = pd.DataFrame({"Runs": models_dict.keys(), "Value": list(models_dict.values())})
-
-                    # Create a horizontal bar chart
-                    chart = alt.Chart(data).mark_bar().encode(
-                        x='Value:Q',
-                        y=alt.Y('Runs:N', sort='-x'),
-                        color=alt.Color('Runs:N', legend=None)
-                    )
-
-                    st.altair_chart(chart)
-
-        st.markdown("---")
-
-        with st.container():
-            st.write(model.titleEvaluationPerformance)
-
-            runs_dict = {}
-
-            for i in range(0, len(json_data_evaluate)):
-                runs_dict[i] = round(json_data_evaluate[i][0])
-
-            data = pd.DataFrame({"Runs": runs_dict.keys(), "Value": list(runs_dict.values())})
-
-            # Create a horizontal bar chart
-            chart = alt.Chart(data).mark_bar().encode(
-                x='Value:Q',
-                y=alt.Y('Runs:N', sort='-x'),
-                color=alt.Color('Runs:N', legend=None)
-            )
-
-            st.altair_chart(chart)
-
-
-    def calculate_annotation_stats(self, model):
-        completed = 0
-        in_progress = 0
-        data_dir_path = Path(model.annotation_files_dir)
-
-        for file_name in data_dir_path.glob("*.json"):
-            with open(file_name, "r") as f:
-                data = json.load(f)
-                v = data['meta']['version']
-                if v == 'v0.1':
-                    in_progress += 1
-                else:
-                    completed += 1
-        total = completed + in_progress
-
-        status_json = {
-            "annotations": [
-                {
-                    "completed": completed,
-                    "in_progress": in_progress,
-                    "total": total
-                }
-            ]
-        }
-
-        with open(model.status_file, "w") as f:
-            json.dump(status_json, f, indent=2)
-
-        return total, completed, in_progress
diff --git a/spaces/keithhon/Real-Time-Voice-Cloning/utils/modelutils.py b/spaces/keithhon/Real-Time-Voice-Cloning/utils/modelutils.py
deleted file mode 100644
index 6acaa984e0c7876f9149fc1ff99001b7761dc80b..0000000000000000000000000000000000000000
--- a/spaces/keithhon/Real-Time-Voice-Cloning/utils/modelutils.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from pathlib import Path
-
-def check_model_paths(encoder_path: Path, synthesizer_path: Path, vocoder_path: Path):
-    # This function tests the model paths and makes sure at least one is valid.
-    if encoder_path.is_file() or encoder_path.is_dir():
-        return
-    if synthesizer_path.is_file() or synthesizer_path.is_dir():
-        return
-    if vocoder_path.is_file() or vocoder_path.is_dir():
-        return
-
-    # If none of the paths exist, remind the user to download models if needed
-    print("********************************************************************************")
-    print("Error: Model files not found. Follow these instructions to get and install the models:")
-    print("https://github.com/CorentinJ/Real-Time-Voice-Cloning/wiki/Pretrained-models")
-    print("********************************************************************************\n")
-    quit(-1)
diff --git a/spaces/keithhon/logo-generator/app.py b/spaces/keithhon/logo-generator/app.py
deleted file mode 100644
index c6e0b87eac895f586e0b5a33c23e0b8e9bf9dd78..0000000000000000000000000000000000000000
--- a/spaces/keithhon/logo-generator/app.py
+++ /dev/null
@@ -1,98 +0,0 @@
-""" Code inspired by https://huggingface.co/spaces/flax-community/dalle-mini
-"""
-import base64
-import os
-import time
-from io import BytesIO
-from multiprocessing import Process
-
-import streamlit as st
-from PIL import Image
-
-import requests
-import logging
-
-
-def start_server():
-    os.system("uvicorn server:app --port 8080 --host 0.0.0.0 --workers 1")
-
-
-def load_models():
-    if not is_port_in_use(8080):
-        with st.spinner(text="Loading models, please wait..."):
-            proc = Process(target=start_server, args=(), daemon=True)
-            proc.start()
-            while not is_port_in_use(8080):
-                time.sleep(1)
-            st.success("Model server started.")
-    else:
-        st.success("Model server already running...")
-    st.session_state["models_loaded"] = True
-
-
-def is_port_in_use(port):
-    import socket
-
-    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
-        return s.connect_ex(("0.0.0.0", port)) == 0
-
-
-def generate(prompt):
-    correct_request = f"http://0.0.0.0:8080/correct?prompt={prompt}"
-    response = requests.get(correct_request)
-    images = response.json()["images"]
-    images = [Image.open(BytesIO(base64.b64decode(img))) for img in images]
-    return images
-
-
-if "models_loaded" not in st.session_state:
-    st.session_state["models_loaded"] = False
-
-
-st.header("Logo generator")
-#st.subheader("Generate images from text")
-st.write("Generate logos from text")
-
-if not st.session_state["models_loaded"]:
-    load_models()
-
-prompt = st.text_input("Your text prompt. Tip: start with 'a logo of...':")
-
-DEBUG = False
-# UI code taken from https://huggingface.co/spaces/flax-community/dalle-mini/blob/main/app/streamlit/app.py
-if prompt != "":
-    container = st.empty()
-    container.markdown(
-        f"""
-        <style> p {{ margin:0 }} div {{ margin:0 }} </style>
-        <div data-stale="false" class="element-container css-1e5imcs e1tzin5v1">
-        <div class="stAlert">
-        <div role="alert" data-baseweb="notification" class="st-ae st-af st-ag st-ah st-ai st-aj st-ak st-g3 st-am st-b8 st-ao st-ap st-aq st-ar st-as st-at st-au st-av st-aw st-ax st-ay st-az st-b9 st-b1 st-b2 st-b3 st-b4 st-b5 st-b6">
-        <div class="st-b7">
-        <div class="css-whx05o e13vu3m50">
-        <div data-testid="stMarkdownContainer" class="css-1ekf893 e16nr0p30">
-                <img src="https://raw.githubusercontent.com/borisdayma/dalle-mini/main/app/streamlit/img/loading.gif" width="30"/>
-                Generating predictions for: <b>{prompt}</b>
-        </div>
-        </div>
-        </div>
-        </div>
-        </div>
-        </div>
-    """,
-        unsafe_allow_html=True,
-    )
-
-    print(f"Getting selections: {prompt}")
-    selected = generate(prompt)
-
-    margin = 0.1  # for better position of zoom in arrow
-    n_columns = 3
-    cols = st.columns([1] + [margin, 1] * (n_columns - 1))
-    for i, img in enumerate(selected):
-        cols[(i % n_columns) * 2].image(img)
-    container.markdown(f"**{prompt}**")
-
-    st.button("Run again", key="again_button")
-    
-
diff --git a/spaces/kenton-li/chatdoctor_csv/app.py b/spaces/kenton-li/chatdoctor_csv/app.py
deleted file mode 100644
index 72648c89859b53fca0f2706eed84585951237385..0000000000000000000000000000000000000000
--- a/spaces/kenton-li/chatdoctor_csv/app.py
+++ /dev/null
@@ -1,163 +0,0 @@
-import gradio as gr
-import os
-import time
-import openai
-import pandas as pd
-
-openai_api_key_textbox = ""
-model = None
-tokenizer = None
-generator = None
-csv_name = "disease_database_mini.csv"
-df = pd.read_csv(csv_name)
-openai.api_key = "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"
-
-def csv_prompter(question,csv_name):
-    
-    
-
-    fulltext = "A question is provided below. Given the question, extract " + \
-               "keywords from the text. Focus on extracting the keywords that we can use " + \
-               "to best lookup answers to the question. \n" + \
-               "---------------------\n" + \
-               "{}\n".format(question) + \
-               "---------------------\n" + \
-               "Provide keywords in the following comma-separated format.\nKeywords: "
-
-    messages = [
-        {"role": "system", "content": ""},
-    ]
-    messages.append(
-        {"role": "user", "content": f"{fulltext}"}
-    )
-    rsp = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=messages
-    )
-    keyword_list = rsp.get("choices")[0]["message"]["content"]
-    keyword_list = keyword_list.replace(",","").split(" ")
-
-    print(keyword_list)
-    divided_text = []
-    csvdata = df.to_dict('records')
-    step_length = 15
-    for csv_item in range(0,len(csvdata),step_length):
-        csv_text = str(csvdata[csv_item:csv_item+step_length]).replace("}, {", "\n\n").replace("\"", "")#.replace("[", "").replace("]", "")
-        divided_text.append(csv_text)
-
-    answer_llm = ""
-
-    score_textlist = [0] * len(divided_text)
-
-    for i, chunk in enumerate(divided_text):
-        for t, keyw in enumerate(keyword_list):
-            if keyw.lower() in chunk.lower():
-                score_textlist[i] = score_textlist[i] + 1
-
-    answer_list = []
-    divided_text = [item for _, item in sorted(zip(score_textlist, divided_text), reverse=True)]
-
-    for i, chunk in enumerate(divided_text):
-
-        if i>4:
-            continue
-
-        fulltext = "{}".format(chunk) + \
-                   "\n---------------------\n" + \
-                   "Based on the Table above and not prior knowledge, " + \
-                   "Select the Table Entries that will help to answer the question: {}\n Output in the format of \" Disease: <>; Symptom: <>; Medical Test: <>; Medications: <>;\". If there is no useful form entries, output: 'No Entry'".format(question)
-
-        print(fulltext)
-        messages = [
-            {"role": "system", "content": ""},
-        ]
-        messages.append(
-            {"role": "user", "content": f"{fulltext}"}
-        )
-        rsp = openai.ChatCompletion.create(
-            model="gpt-3.5-turbo",
-            messages=messages
-        )
-        answer_llm = rsp.get("choices")[0]["message"]["content"]
-
-        print("\nAnswer: " + answer_llm)
-        print()
-        if not "No Entry" in answer_llm:
-            answer_list.append(answer_llm)
-
-
-
-    fulltext = "The original question is as follows: {}\n".format(question) + \
-               "Based on this Table:\n" + \
-               "------------\n" + \
-               "{}\n".format(str("\n\n".join(answer_list))) + \
-               "------------\n" + \
-               "Answer: "
-    print(fulltext)
-    messages = [
-        {"role": "system", "content": ""},
-    ]
-    messages.append(
-        {"role": "user", "content": f"{fulltext}"}
-    )
-    rsp = openai.ChatCompletion.create(
-        model="gpt-3.5-turbo",
-        messages=messages
-    )
-    answer_llm = rsp.get("choices")[0]["message"]["content"]
-
-    print("\nFinal Answer: " + answer_llm)
-    print()
-
-    return answer_llm
-
-
-
-with gr.Blocks() as demo:
-    gr.Markdown("# Autonomous ChatDoctor (openai version), based on disease database knowledge")
-    gr.Markdown("## Example: If I have frontal headache, fever, and painful sinuses, what disease should I have, and what medical test should I take?")
-    gr.Markdown("Our model will answer based on the content of the excel below, so please try to ask questions based on the table content.")
-    
-    chatbot = gr.Chatbot()
-    msg = gr.Textbox()
-    clear = gr.Button("Clear")
-    Initialization = gr.Button("Initialization")
-
-    def restart(history):
-        invitation = "ChatDoctor: "
-        human_invitation = "Patient: "
-        return [[" \n",invitation+" I am ChatDoctor, what medical questions do you have?"]]
-            
-    def user(user_message, history):
-        invitation = "ChatDoctor: "
-        human_invitation = "Patient: "
-        return "", history +[[human_invitation+user_message, None]]
-
-    def bot(history):
-        invitation = "ChatDoctor: "
-        human_invitation = "Patient: "
-        print(history)
-
-        
-        question = ""
-        for each_ques in history:
-            question = question+ each_ques[0].replace("Patient: ","")+" \n"
-
-        response = csv_prompter(question,csv_name)
-        
-        response = invitation+ response
-        history[-1][1] = response
-
-        return history
-
-    msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
-        bot, chatbot, chatbot
-    )
-    clear.click(lambda: None, None, chatbot, queue=False).then(restart, chatbot, chatbot)
-    Initialization.click(lambda: None, None, chatbot, queue=False).then(restart, chatbot, chatbot)
-    gr.Dataframe(df)
-
-    
-if __name__ == "__main__":
-    demo.launch()
-    
\ No newline at end of file
diff --git a/spaces/keras-io/involution/README.md b/spaces/keras-io/involution/README.md
deleted file mode 100644
index e377508ce1998b6b7078ddceee1824ab3b5d0a04..0000000000000000000000000000000000000000
--- a/spaces/keras-io/involution/README.md
+++ /dev/null
@@ -1,46 +0,0 @@
----
-title: Involution
-emoji: 🌟
-colorFrom: indigo
-colorTo: green
-sdk: gradio
-app_file: app.py
-pinned: false
-license: mit
----
-
-# Configuration
-
-`title`: _string_
-Display title for the Space
-
-`emoji`: _string_
-Space emoji (emoji-only character allowed)
-
-`colorFrom`: _string_
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`colorTo`: _string_
-Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
-
-`sdk`: _string_
-Can be either `gradio`, `streamlit`, or `static`
-
-`sdk_version` : _string_
-Only applicable for `streamlit` SDK.  
-See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
-
-`app_file`: _string_
-Path to your main application file (which contains either `gradio` or `streamlit` Python code, or `static` html code).
-Path is relative to the root of the repository.
-
-`models`: _List[string]_
-HF model IDs (like "gpt2" or "deepset/roberta-base-squad2") used in the Space.
-Will be parsed automatically from your code if not specified here.
-
-`datasets`: _List[string]_
-HF dataset IDs (like "common_voice" or "oscar-corpus/OSCAR-2109") used in the Space.
-Will be parsed automatically from your code if not specified here.
-
-`pinned`: _boolean_
-Whether the Space stays on top of your list.
diff --git a/spaces/keras-io/text-classification-with-transformer/README.md b/spaces/keras-io/text-classification-with-transformer/README.md
deleted file mode 100644
index 3f47f4022af255c9a55d896d5778ff1b8eef4b75..0000000000000000000000000000000000000000
--- a/spaces/keras-io/text-classification-with-transformer/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Text Classification With Transformer
-emoji: 👁
-colorFrom: red
-colorTo: purple
-sdk: gradio
-sdk_version: 3.0.13
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/kevinwang676/ChatGLM2-SadTalker/src/face3d/models/arcface_torch/configs/speed.py b/spaces/kevinwang676/ChatGLM2-SadTalker/src/face3d/models/arcface_torch/configs/speed.py
deleted file mode 100644
index 45e95237da65e44f35a172c25ac6dc4e313e4eae..0000000000000000000000000000000000000000
--- a/spaces/kevinwang676/ChatGLM2-SadTalker/src/face3d/models/arcface_torch/configs/speed.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from easydict import EasyDict as edict
-
-# configs for test speed
-
-config = edict()
-config.loss = "arcface"
-config.network = "r50"
-config.resume = False
-config.output = None
-config.embedding_size = 512
-config.sample_rate = 1.0
-config.fp16 = True
-config.momentum = 0.9
-config.weight_decay = 5e-4
-config.batch_size = 128
-config.lr = 0.1  # batch size is 512
-
-config.rec = "synthetic"
-config.num_classes = 100 * 10000
-config.num_epoch = 30
-config.warmup_epoch = -1
-config.decay_epoch = [10, 16, 22]
-config.val_targets = []
diff --git a/spaces/kevinwang676/ChatGLM2-VC-SadTalker/src/face3d/models/template_model.py b/spaces/kevinwang676/ChatGLM2-VC-SadTalker/src/face3d/models/template_model.py
deleted file mode 100644
index dac7b33d5889777eb63c9882a3b9fa094dcab293..0000000000000000000000000000000000000000
--- a/spaces/kevinwang676/ChatGLM2-VC-SadTalker/src/face3d/models/template_model.py
+++ /dev/null
@@ -1,100 +0,0 @@
-"""Model class template
-
-This module provides a template for users to implement custom models.
-You can specify '--model template' to use this model.
-The class name should be consistent with both the filename and its model option.
-The filename should be <model>_dataset.py
-The class name should be <Model>Dataset.py
-It implements a simple image-to-image translation baseline based on regression loss.
-Given input-output pairs (data_A, data_B), it learns a network netG that can minimize the following L1 loss:
-    min_<netG> ||netG(data_A) - data_B||_1
-You need to implement the following functions:
-    <modify_commandline_options>:　Add model-specific options and rewrite default values for existing options.
-    <__init__>: Initialize this model class.
-    <set_input>: Unpack input data and perform data pre-processing.
-    <forward>: Run forward pass. This will be called by both <optimize_parameters> and <test>.
-    <optimize_parameters>: Update network weights; it will be called in every training iteration.
-"""
-import numpy as np
-import torch
-from .base_model import BaseModel
-from . import networks
-
-
-class TemplateModel(BaseModel):
-    @staticmethod
-    def modify_commandline_options(parser, is_train=True):
-        """Add new model-specific options and rewrite default values for existing options.
-
-        Parameters:
-            parser -- the option parser
-            is_train -- if it is training phase or test phase. You can use this flag to add training-specific or test-specific options.
-
-        Returns:
-            the modified parser.
-        """
-        parser.set_defaults(dataset_mode='aligned')  # You can rewrite default values for this model. For example, this model usually uses aligned dataset as its dataset.
-        if is_train:
-            parser.add_argument('--lambda_regression', type=float, default=1.0, help='weight for the regression loss')  # You can define new arguments for this model.
-
-        return parser
-
-    def __init__(self, opt):
-        """Initialize this model class.
-
-        Parameters:
-            opt -- training/test options
-
-        A few things can be done here.
-        - (required) call the initialization function of BaseModel
-        - define loss function, visualization images, model names, and optimizers
-        """
-        BaseModel.__init__(self, opt)  # call the initialization method of BaseModel
-        # specify the training losses you want to print out. The program will call base_model.get_current_losses to plot the losses to the console and save them to the disk.
-        self.loss_names = ['loss_G']
-        # specify the images you want to save and display. The program will call base_model.get_current_visuals to save and display these images.
-        self.visual_names = ['data_A', 'data_B', 'output']
-        # specify the models you want to save to the disk. The program will call base_model.save_networks and base_model.load_networks to save and load networks.
-        # you can use opt.isTrain to specify different behaviors for training and test. For example, some networks will not be used during test, and you don't need to load them.
-        self.model_names = ['G']
-        # define networks; you can use opt.isTrain to specify different behaviors for training and test.
-        self.netG = networks.define_G(opt.input_nc, opt.output_nc, opt.ngf, opt.netG, gpu_ids=self.gpu_ids)
-        if self.isTrain:  # only defined during training time
-            # define your loss functions. You can use losses provided by torch.nn such as torch.nn.L1Loss.
-            # We also provide a GANLoss class "networks.GANLoss". self.criterionGAN = networks.GANLoss().to(self.device)
-            self.criterionLoss = torch.nn.L1Loss()
-            # define and initialize optimizers. You can define one optimizer for each network.
-            # If two networks are updated at the same time, you can use itertools.chain to group them. See cycle_gan_model.py for an example.
-            self.optimizer = torch.optim.Adam(self.netG.parameters(), lr=opt.lr, betas=(opt.beta1, 0.999))
-            self.optimizers = [self.optimizer]
-
-        # Our program will automatically call <model.setup> to define schedulers, load networks, and print networks
-
-    def set_input(self, input):
-        """Unpack input data from the dataloader and perform necessary pre-processing steps.
-
-        Parameters:
-            input: a dictionary that contains the data itself and its metadata information.
-        """
-        AtoB = self.opt.direction == 'AtoB'  # use <direction> to swap data_A and data_B
-        self.data_A = input['A' if AtoB else 'B'].to(self.device)  # get image data A
-        self.data_B = input['B' if AtoB else 'A'].to(self.device)  # get image data B
-        self.image_paths = input['A_paths' if AtoB else 'B_paths']  # get image paths
-
-    def forward(self):
-        """Run forward pass. This will be called by both functions <optimize_parameters> and <test>."""
-        self.output = self.netG(self.data_A)  # generate output image given the input data_A
-
-    def backward(self):
-        """Calculate losses, gradients, and update network weights; called in every training iteration"""
-        # caculate the intermediate results if necessary; here self.output has been computed during function <forward>
-        # calculate loss given the input and intermediate results
-        self.loss_G = self.criterionLoss(self.output, self.data_B) * self.opt.lambda_regression
-        self.loss_G.backward()       # calculate gradients of network G w.r.t. loss_G
-
-    def optimize_parameters(self):
-        """Update network weights; it will be called in every training iteration."""
-        self.forward()               # first call forward to calculate intermediate results
-        self.optimizer.zero_grad()   # clear network G's existing gradients
-        self.backward()              # calculate gradients for network G
-        self.optimizer.step()        # update gradients for network G
diff --git a/spaces/kevinwang676/Personal-TTS-v3/app.py b/spaces/kevinwang676/Personal-TTS-v3/app.py
deleted file mode 100644
index fc03acbbc8754eec4fd644921162486c6ae3364d..0000000000000000000000000000000000000000
--- a/spaces/kevinwang676/Personal-TTS-v3/app.py
+++ /dev/null
@@ -1,203 +0,0 @@
-import subprocess
-import random
-import os
-from pathlib import Path
-import librosa
-from scipy.io import wavfile
-import numpy as np
-import torch
-import csv
-import whisper
-import gradio as gr
-
-os.system("pip install --upgrade Cython==0.29.35")
-os.system("pip install pysptk --no-build-isolation")
-os.system("pip install kantts -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html")
-os.system("pip install tts-autolabel -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html")
-
-import sox
-
-def split_long_audio(model, filepaths, save_dir="data_dir", out_sr=44100):
-    if isinstance(filepaths, str):
-        filepaths = [filepaths]
-
-    for file_idx, filepath in enumerate(filepaths):
-
-        save_path = Path(save_dir)
-        save_path.mkdir(exist_ok=True, parents=True)
-
-        print(f"Transcribing file {file_idx}: '{filepath}' to segments...")
-        result = model.transcribe(filepath, word_timestamps=True, task="transcribe", beam_size=5, best_of=5)
-        segments = result['segments']
-
-        wav, sr = librosa.load(filepath, sr=None, offset=0, duration=None, mono=True)
-        wav, _ = librosa.effects.trim(wav, top_db=20)
-        peak = np.abs(wav).max()
-        if peak > 1.0:
-            wav = 0.98 * wav / peak
-        wav2 = librosa.resample(wav, orig_sr=sr, target_sr=out_sr)
-        wav2 /= max(wav2.max(), -wav2.min())
-
-        for i, seg in enumerate(segments):
-            start_time = seg['start']
-            end_time = seg['end']
-            wav_seg = wav2[int(start_time * out_sr):int(end_time * out_sr)]
-            wav_seg_name = f"{file_idx}_{i}.wav"
-            out_fpath = save_path / wav_seg_name
-            wavfile.write(out_fpath, rate=out_sr, data=(wav_seg * np.iinfo(np.int16).max).astype(np.int16))
-
-whisper_size = "medium"
-whisper_model = whisper.load_model(whisper_size)
-
-from modelscope.tools import run_auto_label
-
-from modelscope.models.audio.tts import SambertHifigan
-from modelscope.pipelines import pipeline
-from modelscope.utils.constant import Tasks
-
-from modelscope.metainfo import Trainers
-from modelscope.trainers import build_trainer
-from modelscope.utils.audio.audio_utils import TtsTrainType
-
-pretrained_model_id = 'damo/speech_personal_sambert-hifigan_nsf_tts_zh-cn_pretrain_16k'
-
-dataset_id = "/home/user/app/output_training_data/"
-pretrain_work_dir = "/home/user/app/pretrain_work_dir/"
-
-
-def auto_label(Voicetoclone, VoiceMicrophone):
-    if VoiceMicrophone is not None:
-        audio = VoiceMicrophone
-    else:
-        audio = Voicetoclone
-        
-    try:
-        split_long_audio(whisper_model, audio, "/home/user/app/test_wavs/")
-        input_wav = "/home/user/app/test_wavs/"
-        output_data = "/home/user/app/output_training_data/"
-        ret, report = run_auto_label(input_wav=input_wav, work_dir=output_data, resource_revision="v1.0.7")
-    
-    except Exception:
-        pass
-    return "标注成功"
-
-
-def train(a):
-    try:
-
-        train_info = {
-            TtsTrainType.TRAIN_TYPE_SAMBERT: {  # 配置训练AM（sambert）模型
-                'train_steps': 52,               # 训练多少个step
-                'save_interval_steps': 50,       # 每训练多少个step保存一次checkpoint
-                'log_interval': 10               # 每训练多少个step打印一次训练日志
-            }
-        }
-
-        # 配置训练参数，指定数据集，临时工作目录和train_info
-        kwargs = dict(
-            model=pretrained_model_id,                  # 指定要finetune的模型
-            model_revision = "v1.0.6",
-            work_dir=pretrain_work_dir,                 # 指定临时工作目录
-            train_dataset=dataset_id,                   # 指定数据集id
-            train_type=train_info                       # 指定要训练类型及参数
-        )
-
-        trainer = build_trainer(Trainers.speech_kantts_trainer,
-                            default_args=kwargs)
-
-        trainer.train()
-
-    except Exception:
-        pass
-      
-    return "训练完成"
-
-
-import random
-
-def infer(text):
-
-  model_dir = "/home/user/app/pretrain_work_dir/"
-
-  custom_infer_abs = {
-      'voice_name':
-      'F7',
-      'am_ckpt':
-      os.path.join(model_dir, 'tmp_am', 'ckpt'),
-      'am_config':
-      os.path.join(model_dir, 'tmp_am', 'config.yaml'),
-      'voc_ckpt':
-      os.path.join(model_dir, 'orig_model', 'basemodel_16k', 'hifigan', 'ckpt'),
-      'voc_config':
-      os.path.join(model_dir, 'orig_model', 'basemodel_16k', 'hifigan',
-              'config.yaml'),
-      'audio_config':
-      os.path.join(model_dir, 'data', 'audio_config.yaml'),
-      'se_file':
-      os.path.join(model_dir, 'data', 'se', 'se.npy')
-  }
-  kwargs = {'custom_ckpt': custom_infer_abs}
-
-  model_id = SambertHifigan(os.path.join(model_dir, "orig_model"), **kwargs)
-
-  inference = pipeline(task=Tasks.text_to_speech, model=model_id)
-  output = inference(input=text)
-
-  filename = str(random.randint(1, 1000000000000))
-
-  with open(filename + "myfile.wav", mode='bx') as f:
-      f.write(output["output_wav"])
-  return filename + "myfile.wav"
-
-
-
-
-from textwrap import dedent
-
-app = gr.Blocks()
-
-with app:
-    gr.Markdown("# <center>🥳🎶🎡 - Sambert中文声音克隆</center>")
-    gr.Markdown("## <center>🌟 - 训练3分钟，推理5秒钟，中英真实拟声 </center>")
-    gr.Markdown("### <center>🌊 - 更多精彩应用，敬请关注[滔滔AI](http://www.talktalkai.com)；滔滔AI，为爱滔滔！💕</center>")
-
-    with gr.Row():
-      with gr.Column():
-        inp1 = gr.Audio(type="filepath", source="upload", label="方案一：请从本地上传一段语音")
-        inp_micro = gr.Audio(type="filepath", source="microphone", label="方案二：请用麦克风录制您的声音")
-      with gr.Column():
-        out1 = gr.Textbox(label="标注情况", lines=1, interactive=False)
-        out2 = gr.Textbox(label="训练情况", lines=1, interactive=False)
-        inp2 = gr.Textbox(label="请在这里填写您想合成的文本", placeholder="想说却还没说的 还很多...", lines=3)
-      with gr.Column():
-        out3 = gr.Audio(type="filepath", label="为您合成的专属音频")
-    with gr.Row():
-      btn1 = gr.Button("1.标注数据")
-      btn2 = gr.Button("2.开始训练")
-      btn3 = gr.Button("3.一键推理", variant="primary")
-  
-    btn1.click(auto_label, [inp1, inp_micro], out1)
-    btn2.click(train, out1, out2)
-    btn3.click(infer, inp2, out3)
-
-    with gr.Accordion("📒 使用指南", open=True):
-        _ = f""" 如何使用此程序: 
-            * 使用方案一或方案二，上传一分钟左右的语音后，依次点击“1.标注数据”、“2.开始训练”、“3.一键推理”即可开启声音克隆之旅
-            * 选择两个方案中的一个即可，程序会优先使用麦克风上传的语音；如果您需要从本地上传语音文件，请不要同时用方案二录制语音
-            * 您可以随时编辑想要合成的文本内容，但请不要生成会对个人以及组织造成侵害的内容
-            * 如果您需要用方案二录制您的声音，以下是一段长度合适的文本，供您朗读并录制：
-
-            我看到鸟儿飞到天空，它们飞得多快呀。明天它们再飞过同样的路线，也永远不是今天了。或许明天飞过这条路线的，不是老鸟，而是小鸟了。时间过得飞快，使我小心眼里不只是着急，还有悲伤。有一天我放学回家，看到太阳快落山了，就下决心说：“我要比太阳更快地回家。”我狂奔回去，站在庭院里喘气的时候，看到太阳还露着半边脸，我高兴地跳起来。那一天我跑赢了太阳。以后我常做这样的游戏，有时和太阳赛跑，有时和西北风比赛，有时一个暑假的作业，我十天就做完了。那时我三年级，常把哥哥五年级的作业拿来做。后来的二十年里，我因此受益无穷。虽然我知道人永远跑不过时间，但是可以比原来快跑几步。那几步虽然很小很小，但作用却很大很大。如果将来我有什么要教给我的孩子，我会告诉他：假若你一直和时间赛跑，你就可以成功。
-                
-            """
-        gr.Markdown(dedent(_))
-
-
-    gr.Markdown("### <center>注意❗：请不要生成会对个人以及组织造成侵害的内容，此程序仅供科研、学习及个人娱乐使用。</center>")
-    gr.HTML('''
-        <div class="footer">
-                    <p>🌊🏞️🎶 - 江水东流急，滔滔无尽声。 明·顾璘
-                    </p>
-        </div>
-    ''')
-app.launch(show_error=True)
diff --git a/spaces/kevinwang676/VoiceChangers/src/face3d/extract_kp_videos_safe.py b/spaces/kevinwang676/VoiceChangers/src/face3d/extract_kp_videos_safe.py
deleted file mode 100644
index 5141ba3adfdd62b6205909dca519d66271c425ad..0000000000000000000000000000000000000000
--- a/spaces/kevinwang676/VoiceChangers/src/face3d/extract_kp_videos_safe.py
+++ /dev/null
@@ -1,151 +0,0 @@
-import os
-import cv2
-import time
-import glob
-import argparse
-import numpy as np
-from PIL import Image
-import torch
-from tqdm import tqdm
-from itertools import cycle
-from torch.multiprocessing import Pool, Process, set_start_method
-
-from facexlib.alignment import landmark_98_to_68
-from facexlib.detection import init_detection_model
-
-from facexlib.utils import load_file_from_url
-from src.face3d.util.my_awing_arch import FAN
-
-def init_alignment_model(model_name, half=False, device='cuda', model_rootpath=None):
-    if model_name == 'awing_fan':
-        model = FAN(num_modules=4, num_landmarks=98, device=device)
-        model_url = 'https://github.com/xinntao/facexlib/releases/download/v0.1.0/alignment_WFLW_4HG.pth'
-    else:
-        raise NotImplementedError(f'{model_name} is not implemented.')
-
-    model_path = load_file_from_url(
-        url=model_url, model_dir='facexlib/weights', progress=True, file_name=None, save_dir=model_rootpath)
-    model.load_state_dict(torch.load(model_path, map_location=device)['state_dict'], strict=True)
-    model.eval()
-    model = model.to(device)
-    return model
-
-
-class KeypointExtractor():
-    def __init__(self, device='cuda'):
-
-        ### gfpgan/weights
-        try:
-            import webui  # in webui
-            root_path = 'extensions/SadTalker/gfpgan/weights' 
-
-        except:
-            root_path = 'gfpgan/weights'
-
-        self.detector = init_alignment_model('awing_fan',device=device, model_rootpath=root_path)   
-        self.det_net = init_detection_model('retinaface_resnet50', half=False,device=device, model_rootpath=root_path)
-
-    def extract_keypoint(self, images, name=None, info=True):
-        if isinstance(images, list):
-            keypoints = []
-            if info:
-                i_range = tqdm(images,desc='landmark Det:')
-            else:
-                i_range = images
-
-            for image in i_range:
-                current_kp = self.extract_keypoint(image)
-                # current_kp = self.detector.get_landmarks(np.array(image))
-                if np.mean(current_kp) == -1 and keypoints:
-                    keypoints.append(keypoints[-1])
-                else:
-                    keypoints.append(current_kp[None])
-
-            keypoints = np.concatenate(keypoints, 0)
-            np.savetxt(os.path.splitext(name)[0]+'.txt', keypoints.reshape(-1))
-            return keypoints
-        else:
-            while True:
-                try:
-                    with torch.no_grad():
-                        # face detection -> face alignment.
-                        img = np.array(images)
-                        bboxes = self.det_net.detect_faces(images, 0.97)
-                        
-                        bboxes = bboxes[0]
-                        img = img[int(bboxes[1]):int(bboxes[3]), int(bboxes[0]):int(bboxes[2]), :]
-
-                        keypoints = landmark_98_to_68(self.detector.get_landmarks(img)) # [0]
-
-                        #### keypoints to the original location
-                        keypoints[:,0] += int(bboxes[0])
-                        keypoints[:,1] += int(bboxes[1])
-
-                        break
-                except RuntimeError as e:
-                    if str(e).startswith('CUDA'):
-                        print("Warning: out of memory, sleep for 1s")
-                        time.sleep(1)
-                    else:
-                        print(e)
-                        break    
-                except TypeError:
-                    print('No face detected in this image')
-                    shape = [68, 2]
-                    keypoints = -1. * np.ones(shape)                    
-                    break
-            if name is not None:
-                np.savetxt(os.path.splitext(name)[0]+'.txt', keypoints.reshape(-1))
-            return keypoints
-
-def read_video(filename):
-    frames = []
-    cap = cv2.VideoCapture(filename)
-    while cap.isOpened():
-        ret, frame = cap.read()
-        if ret:
-            frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-            frame = Image.fromarray(frame)
-            frames.append(frame)
-        else:
-            break
-    cap.release()
-    return frames
-
-def run(data):
-    filename, opt, device = data
-    os.environ['CUDA_VISIBLE_DEVICES'] = device
-    kp_extractor = KeypointExtractor()
-    images = read_video(filename)
-    name = filename.split('/')[-2:]
-    os.makedirs(os.path.join(opt.output_dir, name[-2]), exist_ok=True)
-    kp_extractor.extract_keypoint(
-        images, 
-        name=os.path.join(opt.output_dir, name[-2], name[-1])
-    )
-
-if __name__ == '__main__':
-    set_start_method('spawn')
-    parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
-    parser.add_argument('--input_dir', type=str, help='the folder of the input files')
-    parser.add_argument('--output_dir', type=str, help='the folder of the output files')
-    parser.add_argument('--device_ids', type=str, default='0,1')
-    parser.add_argument('--workers', type=int, default=4)
-
-    opt = parser.parse_args()
-    filenames = list()
-    VIDEO_EXTENSIONS_LOWERCASE = {'mp4'}
-    VIDEO_EXTENSIONS = VIDEO_EXTENSIONS_LOWERCASE.union({f.upper() for f in VIDEO_EXTENSIONS_LOWERCASE})
-    extensions = VIDEO_EXTENSIONS
-    
-    for ext in extensions:
-        os.listdir(f'{opt.input_dir}')
-        print(f'{opt.input_dir}/*.{ext}')
-        filenames = sorted(glob.glob(f'{opt.input_dir}/*.{ext}'))
-    print('Total number of videos:', len(filenames))
-    pool = Pool(opt.workers)
-    args_list = cycle([opt])
-    device_ids = opt.device_ids.split(",")
-    device_ids = cycle(device_ids)
-    for data in tqdm(pool.imap_unordered(run, zip(filenames, args_list, device_ids))):
-        None
diff --git a/spaces/kevinwang676/VoiceChangers/src/face3d/models/arcface_torch/configs/base.py b/spaces/kevinwang676/VoiceChangers/src/face3d/models/arcface_torch/configs/base.py
deleted file mode 100644
index 78e4b36a9142b649ec39a8c59331bb2557f2ad57..0000000000000000000000000000000000000000
--- a/spaces/kevinwang676/VoiceChangers/src/face3d/models/arcface_torch/configs/base.py
+++ /dev/null
@@ -1,56 +0,0 @@
-from easydict import EasyDict as edict
-
-# make training faster
-# our RAM is 256G
-# mount -t tmpfs -o size=140G  tmpfs /train_tmp
-
-config = edict()
-config.loss = "arcface"
-config.network = "r50"
-config.resume = False
-config.output = "ms1mv3_arcface_r50"
-
-config.dataset = "ms1m-retinaface-t1"
-config.embedding_size = 512
-config.sample_rate = 1
-config.fp16 = False
-config.momentum = 0.9
-config.weight_decay = 5e-4
-config.batch_size = 128
-config.lr = 0.1  # batch size is 512
-
-if config.dataset == "emore":
-    config.rec = "/train_tmp/faces_emore"
-    config.num_classes = 85742
-    config.num_image = 5822653
-    config.num_epoch = 16
-    config.warmup_epoch = -1
-    config.decay_epoch = [8, 14, ]
-    config.val_targets = ["lfw", ]
-
-elif config.dataset == "ms1m-retinaface-t1":
-    config.rec = "/train_tmp/ms1m-retinaface-t1"
-    config.num_classes = 93431
-    config.num_image = 5179510
-    config.num_epoch = 25
-    config.warmup_epoch = -1
-    config.decay_epoch = [11, 17, 22]
-    config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
-
-elif config.dataset == "glint360k":
-    config.rec = "/train_tmp/glint360k"
-    config.num_classes = 360232
-    config.num_image = 17091657
-    config.num_epoch = 20
-    config.warmup_epoch = -1
-    config.decay_epoch = [8, 12, 15, 18]
-    config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
-
-elif config.dataset == "webface":
-    config.rec = "/train_tmp/faces_webface_112x112"
-    config.num_classes = 10572
-    config.num_image = "forget"
-    config.num_epoch = 34
-    config.warmup_epoch = -1
-    config.decay_epoch = [20, 28, 32]
-    config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
diff --git a/spaces/kevinwang676/vits-fast-finetuning-pcr/text/english.py b/spaces/kevinwang676/vits-fast-finetuning-pcr/text/english.py
deleted file mode 100644
index 6817392ba8a9eb830351de89fb7afc5ad72f5e42..0000000000000000000000000000000000000000
--- a/spaces/kevinwang676/vits-fast-finetuning-pcr/text/english.py
+++ /dev/null
@@ -1,188 +0,0 @@
-""" from https://github.com/keithito/tacotron """
-
-'''
-Cleaners are transformations that run over the input text at both training and eval time.
-
-Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners"
-hyperparameter. Some cleaners are English-specific. You'll typically want to use:
-  1. "english_cleaners" for English text
-  2. "transliteration_cleaners" for non-English text that can be transliterated to ASCII using
-     the Unidecode library (https://pypi.python.org/pypi/Unidecode)
-  3. "basic_cleaners" if you do not want to transliterate (in this case, you should also update
-     the symbols in symbols.py to match your data).
-'''
-
-
-# Regular expression matching whitespace:
-
-
-import re
-import inflect
-from unidecode import unidecode
-import eng_to_ipa as ipa
-_inflect = inflect.engine()
-_comma_number_re = re.compile(r'([0-9][0-9\,]+[0-9])')
-_decimal_number_re = re.compile(r'([0-9]+\.[0-9]+)')
-_pounds_re = re.compile(r'£([0-9\,]*[0-9]+)')
-_dollars_re = re.compile(r'\$([0-9\.\,]*[0-9]+)')
-_ordinal_re = re.compile(r'[0-9]+(st|nd|rd|th)')
-_number_re = re.compile(r'[0-9]+')
-
-# List of (regular expression, replacement) pairs for abbreviations:
-_abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in [
-    ('mrs', 'misess'),
-    ('mr', 'mister'),
-    ('dr', 'doctor'),
-    ('st', 'saint'),
-    ('co', 'company'),
-    ('jr', 'junior'),
-    ('maj', 'major'),
-    ('gen', 'general'),
-    ('drs', 'doctors'),
-    ('rev', 'reverend'),
-    ('lt', 'lieutenant'),
-    ('hon', 'honorable'),
-    ('sgt', 'sergeant'),
-    ('capt', 'captain'),
-    ('esq', 'esquire'),
-    ('ltd', 'limited'),
-    ('col', 'colonel'),
-    ('ft', 'fort'),
-]]
-
-
-# List of (ipa, lazy ipa) pairs:
-_lazy_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [
-    ('r', 'ɹ'),
-    ('æ', 'e'),
-    ('ɑ', 'a'),
-    ('ɔ', 'o'),
-    ('ð', 'z'),
-    ('θ', 's'),
-    ('ɛ', 'e'),
-    ('ɪ', 'i'),
-    ('ʊ', 'u'),
-    ('ʒ', 'ʥ'),
-    ('ʤ', 'ʥ'),
-    ('ˈ', '↓'),
-]]
-
-# List of (ipa, lazy ipa2) pairs:
-_lazy_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
-    ('r', 'ɹ'),
-    ('ð', 'z'),
-    ('θ', 's'),
-    ('ʒ', 'ʑ'),
-    ('ʤ', 'dʑ'),
-    ('ˈ', '↓'),
-]]
-
-# List of (ipa, ipa2) pairs
-_ipa_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [
-    ('r', 'ɹ'),
-    ('ʤ', 'dʒ'),
-    ('ʧ', 'tʃ')
-]]
-
-
-def expand_abbreviations(text):
-    for regex, replacement in _abbreviations:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def collapse_whitespace(text):
-    return re.sub(r'\s+', ' ', text)
-
-
-def _remove_commas(m):
-    return m.group(1).replace(',', '')
-
-
-def _expand_decimal_point(m):
-    return m.group(1).replace('.', ' point ')
-
-
-def _expand_dollars(m):
-    match = m.group(1)
-    parts = match.split('.')
-    if len(parts) > 2:
-        return match + ' dollars'  # Unexpected format
-    dollars = int(parts[0]) if parts[0] else 0
-    cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0
-    if dollars and cents:
-        dollar_unit = 'dollar' if dollars == 1 else 'dollars'
-        cent_unit = 'cent' if cents == 1 else 'cents'
-        return '%s %s, %s %s' % (dollars, dollar_unit, cents, cent_unit)
-    elif dollars:
-        dollar_unit = 'dollar' if dollars == 1 else 'dollars'
-        return '%s %s' % (dollars, dollar_unit)
-    elif cents:
-        cent_unit = 'cent' if cents == 1 else 'cents'
-        return '%s %s' % (cents, cent_unit)
-    else:
-        return 'zero dollars'
-
-
-def _expand_ordinal(m):
-    return _inflect.number_to_words(m.group(0))
-
-
-def _expand_number(m):
-    num = int(m.group(0))
-    if num > 1000 and num < 3000:
-        if num == 2000:
-            return 'two thousand'
-        elif num > 2000 and num < 2010:
-            return 'two thousand ' + _inflect.number_to_words(num % 100)
-        elif num % 100 == 0:
-            return _inflect.number_to_words(num // 100) + ' hundred'
-        else:
-            return _inflect.number_to_words(num, andword='', zero='oh', group=2).replace(', ', ' ')
-    else:
-        return _inflect.number_to_words(num, andword='')
-
-
-def normalize_numbers(text):
-    text = re.sub(_comma_number_re, _remove_commas, text)
-    text = re.sub(_pounds_re, r'\1 pounds', text)
-    text = re.sub(_dollars_re, _expand_dollars, text)
-    text = re.sub(_decimal_number_re, _expand_decimal_point, text)
-    text = re.sub(_ordinal_re, _expand_ordinal, text)
-    text = re.sub(_number_re, _expand_number, text)
-    return text
-
-
-def mark_dark_l(text):
-    return re.sub(r'l([^aeiouæɑɔəɛɪʊ ]*(?: |$))', lambda x: 'ɫ'+x.group(1), text)
-
-
-def english_to_ipa(text):
-    text = unidecode(text).lower()
-    text = expand_abbreviations(text)
-    text = normalize_numbers(text)
-    phonemes = ipa.convert(text)
-    phonemes = collapse_whitespace(phonemes)
-    return phonemes
-
-
-def english_to_lazy_ipa(text):
-    text = english_to_ipa(text)
-    for regex, replacement in _lazy_ipa:
-        text = re.sub(regex, replacement, text)
-    return text
-
-
-def english_to_ipa2(text):
-    text = english_to_ipa(text)
-    text = mark_dark_l(text)
-    for regex, replacement in _ipa_to_ipa2:
-        text = re.sub(regex, replacement, text)
-    return text.replace('...', '…')
-
-
-def english_to_lazy_ipa2(text):
-    text = english_to_ipa(text)
-    for regex, replacement in _lazy_ipa2:
-        text = re.sub(regex, replacement, text)
-    return text
diff --git a/spaces/kidcoconut/spcstm_omdenasaudi_liverhccxai/app.py b/spaces/kidcoconut/spcstm_omdenasaudi_liverhccxai/app.py
deleted file mode 100644
index 23f7cc0ec504cb9f59f9eb3ed31b1d503f44abfa..0000000000000000000000000000000000000000
--- a/spaces/kidcoconut/spcstm_omdenasaudi_liverhccxai/app.py
+++ /dev/null
@@ -1,23 +0,0 @@
-'''
-    toExecute:  (from root app folder) ... streamlit run app.py
-'''
-import streamlit as st
-import uix.lit_sidebar as litSideBar
-
-
-#--- streamlit:  specify title and logo
-st.set_page_config(
-            page_title='Omdena Saudi Arabia - Liver HCC Diagnosis with XAI', 
-            #page_icon='https://cdn.freebiesupply.com/logos/thumbs/1x/nvidia-logo.png', 
-            layout="wide")
-st.header('\
-    Detecting Liver Cancer from Histopathology WSI \
-    using Deep Learning and Explainability (XAI)\
-')
-st.markdown('#### Dr. Shaista Hussain (Saudi Arabia Chapter Lead)')
-st.markdown("##### Iain McKone (Deployment Lead) [LinkedIn](%s)" % "https://linkedin.com/in/iainmckone")
-st.markdown('---')
-
-
-#--- streamlit:  add a sidebar 
-litSideBar.init()
diff --git a/spaces/kirch/Text2Video-Zero/annotator/uniformer/mmseg/datasets/cityscapes.py b/spaces/kirch/Text2Video-Zero/annotator/uniformer/mmseg/datasets/cityscapes.py
deleted file mode 100644
index 81e47a914a1aa2e5458e18669d65ffb742f46fc6..0000000000000000000000000000000000000000
--- a/spaces/kirch/Text2Video-Zero/annotator/uniformer/mmseg/datasets/cityscapes.py
+++ /dev/null
@@ -1,217 +0,0 @@
-import os.path as osp
-import tempfile
-
-import annotator.uniformer.mmcv as mmcv
-import numpy as np
-from annotator.uniformer.mmcv.utils import print_log
-from PIL import Image
-
-from .builder import DATASETS
-from .custom import CustomDataset
-
-
-@DATASETS.register_module()
-class CityscapesDataset(CustomDataset):
-    """Cityscapes dataset.
-
-    The ``img_suffix`` is fixed to '_leftImg8bit.png' and ``seg_map_suffix`` is
-    fixed to '_gtFine_labelTrainIds.png' for Cityscapes dataset.
-    """
-
-    CLASSES = ('road', 'sidewalk', 'building', 'wall', 'fence', 'pole',
-               'traffic light', 'traffic sign', 'vegetation', 'terrain', 'sky',
-               'person', 'rider', 'car', 'truck', 'bus', 'train', 'motorcycle',
-               'bicycle')
-
-    PALETTE = [[128, 64, 128], [244, 35, 232], [70, 70, 70], [102, 102, 156],
-               [190, 153, 153], [153, 153, 153], [250, 170, 30], [220, 220, 0],
-               [107, 142, 35], [152, 251, 152], [70, 130, 180], [220, 20, 60],
-               [255, 0, 0], [0, 0, 142], [0, 0, 70], [0, 60, 100],
-               [0, 80, 100], [0, 0, 230], [119, 11, 32]]
-
-    def __init__(self, **kwargs):
-        super(CityscapesDataset, self).__init__(
-            img_suffix='_leftImg8bit.png',
-            seg_map_suffix='_gtFine_labelTrainIds.png',
-            **kwargs)
-
-    @staticmethod
-    def _convert_to_label_id(result):
-        """Convert trainId to id for cityscapes."""
-        if isinstance(result, str):
-            result = np.load(result)
-        import cityscapesscripts.helpers.labels as CSLabels
-        result_copy = result.copy()
-        for trainId, label in CSLabels.trainId2label.items():
-            result_copy[result == trainId] = label.id
-
-        return result_copy
-
-    def results2img(self, results, imgfile_prefix, to_label_id):
-        """Write the segmentation results to images.
-
-        Args:
-            results (list[list | tuple | ndarray]): Testing results of the
-                dataset.
-            imgfile_prefix (str): The filename prefix of the png files.
-                If the prefix is "somepath/xxx",
-                the png files will be named "somepath/xxx.png".
-            to_label_id (bool): whether convert output to label_id for
-                submission
-
-        Returns:
-            list[str: str]: result txt files which contains corresponding
-            semantic segmentation images.
-        """
-        mmcv.mkdir_or_exist(imgfile_prefix)
-        result_files = []
-        prog_bar = mmcv.ProgressBar(len(self))
-        for idx in range(len(self)):
-            result = results[idx]
-            if to_label_id:
-                result = self._convert_to_label_id(result)
-            filename = self.img_infos[idx]['filename']
-            basename = osp.splitext(osp.basename(filename))[0]
-
-            png_filename = osp.join(imgfile_prefix, f'{basename}.png')
-
-            output = Image.fromarray(result.astype(np.uint8)).convert('P')
-            import cityscapesscripts.helpers.labels as CSLabels
-            palette = np.zeros((len(CSLabels.id2label), 3), dtype=np.uint8)
-            for label_id, label in CSLabels.id2label.items():
-                palette[label_id] = label.color
-
-            output.putpalette(palette)
-            output.save(png_filename)
-            result_files.append(png_filename)
-            prog_bar.update()
-
-        return result_files
-
-    def format_results(self, results, imgfile_prefix=None, to_label_id=True):
-        """Format the results into dir (standard format for Cityscapes
-        evaluation).
-
-        Args:
-            results (list): Testing results of the dataset.
-            imgfile_prefix (str | None): The prefix of images files. It
-                includes the file path and the prefix of filename, e.g.,
-                "a/b/prefix". If not specified, a temp file will be created.
-                Default: None.
-            to_label_id (bool): whether convert output to label_id for
-                submission. Default: False
-
-        Returns:
-            tuple: (result_files, tmp_dir), result_files is a list containing
-                the image paths, tmp_dir is the temporal directory created
-                for saving json/png files when img_prefix is not specified.
-        """
-
-        assert isinstance(results, list), 'results must be a list'
-        assert len(results) == len(self), (
-            'The length of results is not equal to the dataset len: '
-            f'{len(results)} != {len(self)}')
-
-        if imgfile_prefix is None:
-            tmp_dir = tempfile.TemporaryDirectory()
-            imgfile_prefix = tmp_dir.name
-        else:
-            tmp_dir = None
-        result_files = self.results2img(results, imgfile_prefix, to_label_id)
-
-        return result_files, tmp_dir
-
-    def evaluate(self,
-                 results,
-                 metric='mIoU',
-                 logger=None,
-                 imgfile_prefix=None,
-                 efficient_test=False):
-        """Evaluation in Cityscapes/default protocol.
-
-        Args:
-            results (list): Testing results of the dataset.
-            metric (str | list[str]): Metrics to be evaluated.
-            logger (logging.Logger | None | str): Logger used for printing
-                related information during evaluation. Default: None.
-            imgfile_prefix (str | None): The prefix of output image file,
-                for cityscapes evaluation only. It includes the file path and
-                the prefix of filename, e.g., "a/b/prefix".
-                If results are evaluated with cityscapes protocol, it would be
-                the prefix of output png files. The output files would be
-                png images under folder "a/b/prefix/xxx.png", where "xxx" is
-                the image name of cityscapes. If not specified, a temp file
-                will be created for evaluation.
-                Default: None.
-
-        Returns:
-            dict[str, float]: Cityscapes/default metrics.
-        """
-
-        eval_results = dict()
-        metrics = metric.copy() if isinstance(metric, list) else [metric]
-        if 'cityscapes' in metrics:
-            eval_results.update(
-                self._evaluate_cityscapes(results, logger, imgfile_prefix))
-            metrics.remove('cityscapes')
-        if len(metrics) > 0:
-            eval_results.update(
-                super(CityscapesDataset,
-                      self).evaluate(results, metrics, logger, efficient_test))
-
-        return eval_results
-
-    def _evaluate_cityscapes(self, results, logger, imgfile_prefix):
-        """Evaluation in Cityscapes protocol.
-
-        Args:
-            results (list): Testing results of the dataset.
-            logger (logging.Logger | str | None): Logger used for printing
-                related information during evaluation. Default: None.
-            imgfile_prefix (str | None): The prefix of output image file
-
-        Returns:
-            dict[str: float]: Cityscapes evaluation results.
-        """
-        try:
-            import cityscapesscripts.evaluation.evalPixelLevelSemanticLabeling as CSEval  # noqa
-        except ImportError:
-            raise ImportError('Please run "pip install cityscapesscripts" to '
-                              'install cityscapesscripts first.')
-        msg = 'Evaluating in Cityscapes style'
-        if logger is None:
-            msg = '\n' + msg
-        print_log(msg, logger=logger)
-
-        result_files, tmp_dir = self.format_results(results, imgfile_prefix)
-
-        if tmp_dir is None:
-            result_dir = imgfile_prefix
-        else:
-            result_dir = tmp_dir.name
-
-        eval_results = dict()
-        print_log(f'Evaluating results under {result_dir} ...', logger=logger)
-
-        CSEval.args.evalInstLevelScore = True
-        CSEval.args.predictionPath = osp.abspath(result_dir)
-        CSEval.args.evalPixelAccuracy = True
-        CSEval.args.JSONOutput = False
-
-        seg_map_list = []
-        pred_list = []
-
-        # when evaluating with official cityscapesscripts,
-        # **_gtFine_labelIds.png is used
-        for seg_map in mmcv.scandir(
-                self.ann_dir, 'gtFine_labelIds.png', recursive=True):
-            seg_map_list.append(osp.join(self.ann_dir, seg_map))
-            pred_list.append(CSEval.getPrediction(CSEval.args, seg_map))
-
-        eval_results.update(
-            CSEval.evaluateImgLists(pred_list, seg_map_list, CSEval.args))
-
-        if tmp_dir is not None:
-            tmp_dir.cleanup()
-
-        return eval_results
diff --git a/spaces/kirch/Text2Video-Zero/annotator/uniformer/mmseg/models/losses/dice_loss.py b/spaces/kirch/Text2Video-Zero/annotator/uniformer/mmseg/models/losses/dice_loss.py
deleted file mode 100644
index 27a77b962d7d8b3079c7d6cd9db52280c6fb4970..0000000000000000000000000000000000000000
--- a/spaces/kirch/Text2Video-Zero/annotator/uniformer/mmseg/models/losses/dice_loss.py
+++ /dev/null
@@ -1,119 +0,0 @@
-"""Modified from https://github.com/LikeLy-Journey/SegmenTron/blob/master/
-segmentron/solver/loss.py (Apache-2.0 License)"""
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-
-from ..builder import LOSSES
-from .utils import get_class_weight, weighted_loss
-
-
-@weighted_loss
-def dice_loss(pred,
-              target,
-              valid_mask,
-              smooth=1,
-              exponent=2,
-              class_weight=None,
-              ignore_index=255):
-    assert pred.shape[0] == target.shape[0]
-    total_loss = 0
-    num_classes = pred.shape[1]
-    for i in range(num_classes):
-        if i != ignore_index:
-            dice_loss = binary_dice_loss(
-                pred[:, i],
-                target[..., i],
-                valid_mask=valid_mask,
-                smooth=smooth,
-                exponent=exponent)
-            if class_weight is not None:
-                dice_loss *= class_weight[i]
-            total_loss += dice_loss
-    return total_loss / num_classes
-
-
-@weighted_loss
-def binary_dice_loss(pred, target, valid_mask, smooth=1, exponent=2, **kwards):
-    assert pred.shape[0] == target.shape[0]
-    pred = pred.reshape(pred.shape[0], -1)
-    target = target.reshape(target.shape[0], -1)
-    valid_mask = valid_mask.reshape(valid_mask.shape[0], -1)
-
-    num = torch.sum(torch.mul(pred, target) * valid_mask, dim=1) * 2 + smooth
-    den = torch.sum(pred.pow(exponent) + target.pow(exponent), dim=1) + smooth
-
-    return 1 - num / den
-
-
-@LOSSES.register_module()
-class DiceLoss(nn.Module):
-    """DiceLoss.
-
-    This loss is proposed in `V-Net: Fully Convolutional Neural Networks for
-    Volumetric Medical Image Segmentation <https://arxiv.org/abs/1606.04797>`_.
-
-    Args:
-        loss_type (str, optional): Binary or multi-class loss.
-            Default: 'multi_class'. Options are "binary" and "multi_class".
-        smooth (float): A float number to smooth loss, and avoid NaN error.
-            Default: 1
-        exponent (float): An float number to calculate denominator
-            value: \\sum{x^exponent} + \\sum{y^exponent}. Default: 2.
-        reduction (str, optional): The method used to reduce the loss. Options
-            are "none", "mean" and "sum". This parameter only works when
-            per_image is True. Default: 'mean'.
-        class_weight (list[float] | str, optional): Weight of each class. If in
-            str format, read them from a file. Defaults to None.
-        loss_weight (float, optional): Weight of the loss. Default to 1.0.
-        ignore_index (int | None): The label index to be ignored. Default: 255.
-    """
-
-    def __init__(self,
-                 smooth=1,
-                 exponent=2,
-                 reduction='mean',
-                 class_weight=None,
-                 loss_weight=1.0,
-                 ignore_index=255,
-                 **kwards):
-        super(DiceLoss, self).__init__()
-        self.smooth = smooth
-        self.exponent = exponent
-        self.reduction = reduction
-        self.class_weight = get_class_weight(class_weight)
-        self.loss_weight = loss_weight
-        self.ignore_index = ignore_index
-
-    def forward(self,
-                pred,
-                target,
-                avg_factor=None,
-                reduction_override=None,
-                **kwards):
-        assert reduction_override in (None, 'none', 'mean', 'sum')
-        reduction = (
-            reduction_override if reduction_override else self.reduction)
-        if self.class_weight is not None:
-            class_weight = pred.new_tensor(self.class_weight)
-        else:
-            class_weight = None
-
-        pred = F.softmax(pred, dim=1)
-        num_classes = pred.shape[1]
-        one_hot_target = F.one_hot(
-            torch.clamp(target.long(), 0, num_classes - 1),
-            num_classes=num_classes)
-        valid_mask = (target != self.ignore_index).long()
-
-        loss = self.loss_weight * dice_loss(
-            pred,
-            one_hot_target,
-            valid_mask=valid_mask,
-            reduction=reduction,
-            avg_factor=avg_factor,
-            smooth=self.smooth,
-            exponent=self.exponent,
-            class_weight=class_weight,
-            ignore_index=self.ignore_index)
-        return loss
diff --git a/spaces/kmacdermid/RpgRoomGenerator/app.py b/spaces/kmacdermid/RpgRoomGenerator/app.py
deleted file mode 100644
index 00a6dfc2e9428ee4445f50a593d7b7f388b65695..0000000000000000000000000000000000000000
--- a/spaces/kmacdermid/RpgRoomGenerator/app.py
+++ /dev/null
@@ -1,100 +0,0 @@
-"""
-RPG Room Generator App
-Sets the sampling parameters and provides minimal interface to the user
-
-https://huggingface.co/blog/how-to-generate
-"""
-import gradio as gr
-from gradio import inputs  # allows easier doc lookup in Pycharm
-import transformers as tr
-
-MPATH = "./models/mdl_roomgen7"
-MODEL = tr.GPT2LMHeadModel.from_pretrained(MPATH)
-
-# ToDo: Will save tokenizer next time so can replace this with a load
-SPECIAL_TOKENS = {
-    'eos_token': '<|EOS|>',
-    'bos_token': '<|endoftext|>',
-    'pad_token': '<pad>',
-    'sep_token': '<|body|>'
-}
-TOK = tr.GPT2Tokenizer.from_pretrained("gpt2")
-TOK.add_special_tokens(SPECIAL_TOKENS)
-
-
-SAMPLING_OPTIONS = {
-    "Reasonable":
-        {
-            "top_k": 25,
-            "temperature": 50,
-            "top_p": 60
-        },
-    "Odd":
-        {
-            "top_k": 50,
-            "temperature": 75,
-            "top_p": 90
-        },
-    "Insane":
-        {
-            "top_k": 300,
-            "temperature": 100,
-            "top_p": 85
-        },
-}
-
-
-def generate_room(room_name, room_desc, max_length, sampling_method):
-    """
-    Uses pretrained model to generate text for a dungeon room
-    Returns: Room description text
-    """
-    prompt = " ".join(
-        [
-            SPECIAL_TOKENS["bos_token"],
-            room_name,
-            SPECIAL_TOKENS["sep_token"],
-            room_desc
-        ]
-    )
-    # Only want to skip the room name part
-    to_skip = TOK.encode(" ".join([SPECIAL_TOKENS["bos_token"], room_name, SPECIAL_TOKENS["sep_token"]]),
-                         return_tensors="pt")
-    ids = TOK.encode(prompt, return_tensors="pt")
-
-    # Sample
-    top_k = SAMPLING_OPTIONS[sampling_method]["top_k"]
-    temperature = SAMPLING_OPTIONS[sampling_method]["temperature"] / 100.
-    top_p = SAMPLING_OPTIONS[sampling_method]["top_p"] / 100.
-    output = MODEL.generate(
-        ids,
-        max_length=max_length,
-        do_sample=True,
-        top_k=top_k,
-        temperature=temperature,
-        top_p=top_p
-    )
-    output = TOK.decode(output[0][to_skip.shape[1]:], clean_up_tokenization_spaces=True).replace("  ", " ")
-    # Slice off last partial sentence
-    last_period = output.rfind(".")
-    if last_period > 0:
-        output = output[:last_period+1]
-    return output
-
-
-if __name__ == "__main__":
-    iface = gr.Interface(
-        title="RPG Room Generator",
-        fn=generate_room,
-        inputs=[
-            inputs.Textbox(lines=1, label="Room Name"),
-            inputs.Textbox(lines=3, label="Start of Room Description (Optional)", default=""),
-            inputs.Slider(minimum=50, maximum=1000, default=200, label="Length"),
-            inputs.Radio(choices=list(SAMPLING_OPTIONS.keys()), default="Odd", label="Craziness"),
-        ],
-        outputs="text",
-        layout="horizontal",
-        allow_flagging="never",
-        theme="dark",
-    )
-    app, local_url, share_url = iface.launch()
diff --git a/spaces/kn14/STT_CNN/README.md b/spaces/kn14/STT_CNN/README.md
deleted file mode 100644
index 0ee72f5e27b5656ed61719196c8e4b93d1f0341e..0000000000000000000000000000000000000000
--- a/spaces/kn14/STT_CNN/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: STT CNN
-emoji: 📈
-colorFrom: pink
-colorTo: gray
-sdk: gradio
-sdk_version: 3.28.3
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/koajoel/PolyFormer/fairseq/.github/ISSUE_TEMPLATE/bug_report.md b/spaces/koajoel/PolyFormer/fairseq/.github/ISSUE_TEMPLATE/bug_report.md
deleted file mode 100644
index aa15123d8ef25c2de745572563505cf0ddc4e351..0000000000000000000000000000000000000000
--- a/spaces/koajoel/PolyFormer/fairseq/.github/ISSUE_TEMPLATE/bug_report.md
+++ /dev/null
@@ -1,43 +0,0 @@
----
-name: 🐛 Bug Report
-about: Submit a bug report to help us improve
-labels: 'bug, needs triage'
----
-
-## 🐛 Bug
-
-<!-- A clear and concise description of what the bug is. -->
-
-### To Reproduce
-
-Steps to reproduce the behavior (**always include the command you ran**):
-
-1. Run cmd '....'
-2. See error
-
-<!-- If you have a code sample, error messages, stack traces, please provide it here as well -->
-
-
-#### Code sample
-<!-- Ideally attach a minimal code sample to reproduce the decried issue.
-Minimal means having the shortest code but still preserving the bug. -->
-
-### Expected behavior
-
-<!-- A clear and concise description of what you expected to happen. -->
-
-### Environment
-
- - fairseq Version (e.g., 1.0 or main):
- - PyTorch Version (e.g., 1.0)
- - OS (e.g., Linux):
- - How you installed fairseq (`pip`, source):
- - Build command you used (if compiling from source):
- - Python version:
- - CUDA/cuDNN version:
- - GPU models and configuration:
- - Any other relevant information:
-
-### Additional context
-
-<!-- Add any other context about the problem here. -->
diff --git a/spaces/koajoel/PolyFormer/fairseq/examples/fast_noisy_channel/noisy_channel_translation.py b/spaces/koajoel/PolyFormer/fairseq/examples/fast_noisy_channel/noisy_channel_translation.py
deleted file mode 100644
index b74bdfd456f9b7c546ce528173c77431b4f57ac1..0000000000000000000000000000000000000000
--- a/spaces/koajoel/PolyFormer/fairseq/examples/fast_noisy_channel/noisy_channel_translation.py
+++ /dev/null
@@ -1,127 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-from fairseq.tasks.translation import TranslationTask
-from fairseq.tasks.language_modeling import LanguageModelingTask
-from fairseq import checkpoint_utils
-import argparse
-from fairseq.tasks import register_task
-import torch
-
-
-@register_task("noisy_channel_translation")
-class NoisyChannelTranslation(TranslationTask):
-    """
-    Rescore the top k candidates from each beam using noisy channel modeling
-    """
-
-    @staticmethod
-    def add_args(parser):
-        """Add task-specific arguments to the parser."""
-        TranslationTask.add_args(parser)
-        # fmt: off
-        parser.add_argument('--channel-model', metavar='FILE',
-                            help='path to P(S|T) model. P(S|T) and P(T|S) must share source and target dictionaries.')
-        parser.add_argument('--combine-method', default='lm_only',
-                            choices=['lm_only', 'noisy_channel'],
-                            help="""method for combining direct and channel model scores.
-                                    lm_only: decode with P(T|S)P(T)
-                                    noisy_channel: decode with 1/t P(T|S) + 1/s(P(S|T)P(T))""")
-        parser.add_argument('--normalize-lm-scores-by-tgt-len', action='store_true', default=False,
-                            help='normalize lm score by target length instead of source length')
-        parser.add_argument('--channel-scoring-type', default='log_norm', choices=['unnormalized', 'log_norm', 'k2_separate', 'src_vocab', 'src_vocab_batched'],
-                            help="Normalize bw scores with log softmax or return bw scores without log softmax")
-        parser.add_argument('--top-k-vocab', default=0, type=int,
-                            help='top k vocab IDs to use with `src_vocab` in channel model scoring')
-        parser.add_argument('--k2', default=50, type=int,
-                            help='the top k2 candidates to rescore with the noisy channel model for each beam')
-        parser.add_argument('--ch-wt', default=1, type=float,
-                            help='weight for the channel model')
-        parser.add_argument('--lm-model', metavar='FILE',
-                            help='path to lm model file, to model P(T). P(T) must share the same vocab as the direct model on the target side')
-        parser.add_argument('--lm-data', metavar='FILE',
-                            help='path to lm model training data for target language, used to properly load LM with correct dictionary')
-        parser.add_argument('--lm-wt', default=1, type=float,
-                            help='the weight of the lm in joint decoding')
-        # fmt: on
-
-    def build_generator(
-        self, models, args, seq_gen_cls=None, extra_gen_cls_kwargs=None
-    ):
-        if getattr(args, "score_reference", False):
-            raise NotImplementedError()
-        else:
-            from .noisy_channel_sequence_generator import NoisyChannelSequenceGenerator
-            use_cuda = torch.cuda.is_available() and not self.args.cpu
-            assert self.args.lm_model is not None, '--lm-model required for noisy channel generation!'
-            assert self.args.lm_data is not None, '--lm-data required for noisy channel generation to map between LM and bitext vocabs'
-            if self.args.channel_model is not None:
-                import copy
-                ch_args_task = copy.deepcopy(self.args)
-                tmp = ch_args_task.source_lang
-                ch_args_task.source_lang = ch_args_task.target_lang
-                ch_args_task.target_lang = tmp
-                ch_args_task._name = 'translation'
-                channel_task = TranslationTask.setup_task(ch_args_task)
-
-            arg_dict = {}
-            arg_dict['task'] = 'language_modeling'
-            arg_dict['sample_break_mode'] = 'eos'
-            arg_dict['data'] = self.args.lm_data
-            arg_dict['output_dictionary_size'] = -1
-            lm_args = argparse.Namespace(**arg_dict)
-            lm_task = LanguageModelingTask.setup_task(lm_args)
-            lm_dict = lm_task.output_dictionary
-
-            if self.args.channel_model is not None:
-                channel_models, _ = checkpoint_utils.load_model_ensemble(self.args.channel_model.split(':'), task=channel_task)
-
-                for model in channel_models:
-                    model.make_generation_fast_(
-                        beamable_mm_beam_size=None if args.no_beamable_mm else args.beam,
-                        need_attn=args.print_alignment,
-                    )
-                    if self.args.fp16:
-                        model.half()
-                    if use_cuda:
-                        model.cuda()
-            else:
-                channel_models = None
-
-            lm_models, _ = checkpoint_utils.load_model_ensemble(self.args.lm_model.split(':'), task=lm_task)
-
-            for model in lm_models:
-                model.make_generation_fast_(
-                    beamable_mm_beam_size=None if args.no_beamable_mm else args.beam,
-                    need_attn=args.print_alignment,
-                )
-                if self.args.fp16:
-                    model.half()
-                if use_cuda:
-                    model.cuda()
-            return NoisyChannelSequenceGenerator(
-                combine_method=self.args.combine_method,
-                tgt_dict=self.target_dictionary,
-                src_dict=self.source_dictionary,
-                beam_size=getattr(args, 'beam', 5),
-                max_len_a=getattr(args, 'max_len_a', 0),
-                max_len_b=getattr(args, 'max_len_b', 200),
-                min_len=getattr(args, 'min_len', 1),
-                len_penalty=getattr(args, 'lenpen', 1),
-                unk_penalty=getattr(args, 'unkpen', 0),
-                temperature=getattr(args, 'temperature', 1.),
-                match_source_len=getattr(args, 'match_source_len', False),
-                no_repeat_ngram_size=getattr(args, 'no_repeat_ngram_size', 0),
-                normalize_scores=(not getattr(args, 'unnormalized', False)),
-                channel_models=channel_models,
-                k2=getattr(self.args, 'k2', 50),
-                ch_weight=getattr(self.args, 'ch_wt', 1),
-                channel_scoring_type=self.args.channel_scoring_type,
-                top_k_vocab=self.args.top_k_vocab,
-                lm_models=lm_models,
-                lm_dict=lm_dict,
-                lm_weight=getattr(self.args, 'lm_wt', 1),
-                normalize_lm_scores_by_tgt_len=getattr(self.args, 'normalize_lm_scores_by_tgt_len', False),
-            )
diff --git a/spaces/ktangri/url-classifier/app.py b/spaces/ktangri/url-classifier/app.py
deleted file mode 100644
index 780a6895634ebe6b1aa6d8e09f1895dfef259fe2..0000000000000000000000000000000000000000
--- a/spaces/ktangri/url-classifier/app.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import gradio as gr
-from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
-
-
-class UrlClassifier:
-    def __init__(self):
-        self.pipeline = pipeline(
-            "zero-shot-classification",
-            model="MoritzLaurer/DeBERTa-v3-large-mnli-fever-anli-ling-wanli"
-        )
-        self.candidate_labels = ["Apps", "Arts and Entertainment", "Automotive Ownership", "Automotive Products", "Beauty Services", "Business and Industrial", "Clothing and Accessories", "Collectables and Antiques", "Consumer Electronics", "Edible Consumer Packaged Goods", "Education and Careers", "Family and Parenting", "Finance and Insurance", "Food and Beverage Services", "Furniture", "Gifts and Holiday Items", "Hardware Supplies", "Health and Medical Services", "Hobbies and Interests", "Home and Garden Services", "Legal Services", "Life Events", "Logistics and Delivery", "Non-Profits", "Office Equipment and Supplies", "Pet Services", "Pharmaceuticals", "Real Estate", "Recreation and Fitness Activities", "Software", "Sporting Goods", "Travel and Tourism", "Web Services"]
-
-
-    def predict(self, input_text: str):
-        pred = self.pipeline(input_text, self.candidate_labels)
-        
-        sorted_preds = sorted(zip(pred['scores'], pred['labels']))
-        result = {}
-        for i in range(len(sorted_preds)):
-            result[sorted_preds[i][1]] = sorted_preds[i][0]
-
-        return result
-
-
-def main():
-    model = UrlClassifier()
-    iface = gr.Interface(
-        fn=model.predict,
-        inputs=gr.inputs.Textbox(
-            lines=3,
-            placeholder="Input a shopping website URL",
-            label="Input URL",
-        ),
-        outputs="label",
-        title="Ecommerce URL Classification",
-        examples=[
-            "https://www.homedepot.com/p/MINKA-AIRE-Concept-II-44-in-Integrated-LED-Indoor-White-Ceiling-Fan-with-Light-with-Remote-Control-F518L-WH/310172695",
-            "https://www.allsaints.com/us/men/t-shirts/pinup-crew-t-shirt/USMG127X-162.html",
-            "https://www.ikea.com/us/en/cat/multifunctional-tables-57537/",
-            "https://www.rei.com/adventures/all-trips?cm_mmc=email_com_gm-_-20230102_ADV_AdventuresJanuary-_-010223-_-CTA1_NP_Adventures_23_00005&ev36=555141764&rmid=20230102_ADV_AdventuresJanuary&rrid=932052075&e",
-            "https://www.dsw.com/en/us/product/adidas-fluid-flow-2.0-running-shoe---womens/512360",
-            "https://www.homedepot.com/b/Tools-Power-Tools-Saws-Scroll-Saws/N-5yc1vZc67a?sortorder=desc&sortby=price"
-        ],
-    )
-
-    iface.launch()
-
-
-if __name__ == "__main__":
-    main()
diff --git a/spaces/kunderabr/ResumoYouTube/app.py b/spaces/kunderabr/ResumoYouTube/app.py
deleted file mode 100644
index 764e6d2776b3438029b18c070db1da90cc69f179..0000000000000000000000000000000000000000
--- a/spaces/kunderabr/ResumoYouTube/app.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import gradio as gr
-import streamlit as st
-import sentencepiece
-import requests
-from gtts import gTTS
-from urllib.parse import urlparse, parse_qs
-from youtube_transcript_api import YouTubeTranscriptApi
-import unicodedata
-from deepmultilingualpunctuation import PunctuationModel
-
-
-def transcribe_video(youtube_url):
-    if "watch" in youtube_url:
-        pass
-    else:
-      youtube_url = youtube_url.replace("youtu.be/", "www.youtube.com/watch?v=")
-    
-    parsed_url = urlparse(youtube_url)
-    video_id = parse_qs(parsed_url.query).get("v", [None])[0]
-    transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
-    transcript = YouTubeTranscriptApi.get_transcript(video_id, languages=['pt'])
-    text = []
-    for line in transcript:
-        text.append(line["text"])
-        video_transcript = " ".join(text)
-        print("Text transcript created")
-    
-    model = PunctuationModel()
-    result = model.restore_punctuation(video_transcript)
-    
-    return result
-
-theme = gr.themes.Base(
-    primary_hue="red",
-).set(
-    chatbot_code_background_color='*primary_100'
-)
-                    
-
-with gr.Blocks(title="Transcrição do Youtube🎯",theme=theme) as demo:
-    with gr.Row():
-        with gr.Column(scale=1):
-            youtube_input = gr.Textbox(placeholder="Coloque a URL do Vídeo do Youtube", label="Youtube")
-            run_button = gr.Button(label="TRANSCREVER", visible=True)
-        with gr.Column(scale=2):
-            output_text = gr.TextArea(visible=True, interactive=True, container=True, lines=5)
-
-            
-    run_button.click(transcribe_video,
-                     inputs=youtube_input,
-                     outputs=output_text,
-                     show_progress=True, queue=True
-                     )
-              
-
-    
-            
-
-
-# Launch the interface
-demo.launch(share=False)
diff --git a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/PIL/PaletteFile.py b/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/PIL/PaletteFile.py
deleted file mode 100644
index 4a2c497fc495a271cbab204db0197d776442ac5c..0000000000000000000000000000000000000000
--- a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/PIL/PaletteFile.py
+++ /dev/null
@@ -1,51 +0,0 @@
-#
-# Python Imaging Library
-# $Id$
-#
-# stuff to read simple, teragon-style palette files
-#
-# History:
-#       97-08-23 fl     Created
-#
-# Copyright (c) Secret Labs AB 1997.
-# Copyright (c) Fredrik Lundh 1997.
-#
-# See the README file for information on usage and redistribution.
-#
-
-from ._binary import o8
-
-
-class PaletteFile:
-    """File handler for Teragon-style palette files."""
-
-    rawmode = "RGB"
-
-    def __init__(self, fp):
-        self.palette = [(i, i, i) for i in range(256)]
-
-        while True:
-            s = fp.readline()
-
-            if not s:
-                break
-            if s[:1] == b"#":
-                continue
-            if len(s) > 100:
-                msg = "bad palette file"
-                raise SyntaxError(msg)
-
-            v = [int(x) for x in s.split()]
-            try:
-                [i, r, g, b] = v
-            except ValueError:
-                [i, r] = v
-                g = b = r
-
-            if 0 <= i <= 255:
-                self.palette[i] = o8(r) + o8(g) + o8(b)
-
-        self.palette = b"".join(self.palette)
-
-    def getpalette(self):
-        return self.palette, self.rawmode
diff --git a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/aiohttp/web_exceptions.py b/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/aiohttp/web_exceptions.py
deleted file mode 100644
index ae706a1806299a1f13f3a905b4582c52bda5450c..0000000000000000000000000000000000000000
--- a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/aiohttp/web_exceptions.py
+++ /dev/null
@@ -1,441 +0,0 @@
-import warnings
-from typing import Any, Dict, Iterable, List, Optional, Set  # noqa
-
-from yarl import URL
-
-from .typedefs import LooseHeaders, StrOrURL
-from .web_response import Response
-
-__all__ = (
-    "HTTPException",
-    "HTTPError",
-    "HTTPRedirection",
-    "HTTPSuccessful",
-    "HTTPOk",
-    "HTTPCreated",
-    "HTTPAccepted",
-    "HTTPNonAuthoritativeInformation",
-    "HTTPNoContent",
-    "HTTPResetContent",
-    "HTTPPartialContent",
-    "HTTPMultipleChoices",
-    "HTTPMovedPermanently",
-    "HTTPFound",
-    "HTTPSeeOther",
-    "HTTPNotModified",
-    "HTTPUseProxy",
-    "HTTPTemporaryRedirect",
-    "HTTPPermanentRedirect",
-    "HTTPClientError",
-    "HTTPBadRequest",
-    "HTTPUnauthorized",
-    "HTTPPaymentRequired",
-    "HTTPForbidden",
-    "HTTPNotFound",
-    "HTTPMethodNotAllowed",
-    "HTTPNotAcceptable",
-    "HTTPProxyAuthenticationRequired",
-    "HTTPRequestTimeout",
-    "HTTPConflict",
-    "HTTPGone",
-    "HTTPLengthRequired",
-    "HTTPPreconditionFailed",
-    "HTTPRequestEntityTooLarge",
-    "HTTPRequestURITooLong",
-    "HTTPUnsupportedMediaType",
-    "HTTPRequestRangeNotSatisfiable",
-    "HTTPExpectationFailed",
-    "HTTPMisdirectedRequest",
-    "HTTPUnprocessableEntity",
-    "HTTPFailedDependency",
-    "HTTPUpgradeRequired",
-    "HTTPPreconditionRequired",
-    "HTTPTooManyRequests",
-    "HTTPRequestHeaderFieldsTooLarge",
-    "HTTPUnavailableForLegalReasons",
-    "HTTPServerError",
-    "HTTPInternalServerError",
-    "HTTPNotImplemented",
-    "HTTPBadGateway",
-    "HTTPServiceUnavailable",
-    "HTTPGatewayTimeout",
-    "HTTPVersionNotSupported",
-    "HTTPVariantAlsoNegotiates",
-    "HTTPInsufficientStorage",
-    "HTTPNotExtended",
-    "HTTPNetworkAuthenticationRequired",
-)
-
-
-############################################################
-# HTTP Exceptions
-############################################################
-
-
-class HTTPException(Response, Exception):
-
-    # You should set in subclasses:
-    # status = 200
-
-    status_code = -1
-    empty_body = False
-
-    __http_exception__ = True
-
-    def __init__(
-        self,
-        *,
-        headers: Optional[LooseHeaders] = None,
-        reason: Optional[str] = None,
-        body: Any = None,
-        text: Optional[str] = None,
-        content_type: Optional[str] = None,
-    ) -> None:
-        if body is not None:
-            warnings.warn(
-                "body argument is deprecated for http web exceptions",
-                DeprecationWarning,
-            )
-        Response.__init__(
-            self,
-            status=self.status_code,
-            headers=headers,
-            reason=reason,
-            body=body,
-            text=text,
-            content_type=content_type,
-        )
-        Exception.__init__(self, self.reason)
-        if self.body is None and not self.empty_body:
-            self.text = f"{self.status}: {self.reason}"
-
-    def __bool__(self) -> bool:
-        return True
-
-
-class HTTPError(HTTPException):
-    """Base class for exceptions with status codes in the 400s and 500s."""
-
-
-class HTTPRedirection(HTTPException):
-    """Base class for exceptions with status codes in the 300s."""
-
-
-class HTTPSuccessful(HTTPException):
-    """Base class for exceptions with status codes in the 200s."""
-
-
-class HTTPOk(HTTPSuccessful):
-    status_code = 200
-
-
-class HTTPCreated(HTTPSuccessful):
-    status_code = 201
-
-
-class HTTPAccepted(HTTPSuccessful):
-    status_code = 202
-
-
-class HTTPNonAuthoritativeInformation(HTTPSuccessful):
-    status_code = 203
-
-
-class HTTPNoContent(HTTPSuccessful):
-    status_code = 204
-    empty_body = True
-
-
-class HTTPResetContent(HTTPSuccessful):
-    status_code = 205
-    empty_body = True
-
-
-class HTTPPartialContent(HTTPSuccessful):
-    status_code = 206
-
-
-############################################################
-# 3xx redirection
-############################################################
-
-
-class _HTTPMove(HTTPRedirection):
-    def __init__(
-        self,
-        location: StrOrURL,
-        *,
-        headers: Optional[LooseHeaders] = None,
-        reason: Optional[str] = None,
-        body: Any = None,
-        text: Optional[str] = None,
-        content_type: Optional[str] = None,
-    ) -> None:
-        if not location:
-            raise ValueError("HTTP redirects need a location to redirect to.")
-        super().__init__(
-            headers=headers,
-            reason=reason,
-            body=body,
-            text=text,
-            content_type=content_type,
-        )
-        self.headers["Location"] = str(URL(location))
-        self.location = location
-
-
-class HTTPMultipleChoices(_HTTPMove):
-    status_code = 300
-
-
-class HTTPMovedPermanently(_HTTPMove):
-    status_code = 301
-
-
-class HTTPFound(_HTTPMove):
-    status_code = 302
-
-
-# This one is safe after a POST (the redirected location will be
-# retrieved with GET):
-class HTTPSeeOther(_HTTPMove):
-    status_code = 303
-
-
-class HTTPNotModified(HTTPRedirection):
-    # FIXME: this should include a date or etag header
-    status_code = 304
-    empty_body = True
-
-
-class HTTPUseProxy(_HTTPMove):
-    # Not a move, but looks a little like one
-    status_code = 305
-
-
-class HTTPTemporaryRedirect(_HTTPMove):
-    status_code = 307
-
-
-class HTTPPermanentRedirect(_HTTPMove):
-    status_code = 308
-
-
-############################################################
-# 4xx client error
-############################################################
-
-
-class HTTPClientError(HTTPError):
-    pass
-
-
-class HTTPBadRequest(HTTPClientError):
-    status_code = 400
-
-
-class HTTPUnauthorized(HTTPClientError):
-    status_code = 401
-
-
-class HTTPPaymentRequired(HTTPClientError):
-    status_code = 402
-
-
-class HTTPForbidden(HTTPClientError):
-    status_code = 403
-
-
-class HTTPNotFound(HTTPClientError):
-    status_code = 404
-
-
-class HTTPMethodNotAllowed(HTTPClientError):
-    status_code = 405
-
-    def __init__(
-        self,
-        method: str,
-        allowed_methods: Iterable[str],
-        *,
-        headers: Optional[LooseHeaders] = None,
-        reason: Optional[str] = None,
-        body: Any = None,
-        text: Optional[str] = None,
-        content_type: Optional[str] = None,
-    ) -> None:
-        allow = ",".join(sorted(allowed_methods))
-        super().__init__(
-            headers=headers,
-            reason=reason,
-            body=body,
-            text=text,
-            content_type=content_type,
-        )
-        self.headers["Allow"] = allow
-        self.allowed_methods: Set[str] = set(allowed_methods)
-        self.method = method.upper()
-
-
-class HTTPNotAcceptable(HTTPClientError):
-    status_code = 406
-
-
-class HTTPProxyAuthenticationRequired(HTTPClientError):
-    status_code = 407
-
-
-class HTTPRequestTimeout(HTTPClientError):
-    status_code = 408
-
-
-class HTTPConflict(HTTPClientError):
-    status_code = 409
-
-
-class HTTPGone(HTTPClientError):
-    status_code = 410
-
-
-class HTTPLengthRequired(HTTPClientError):
-    status_code = 411
-
-
-class HTTPPreconditionFailed(HTTPClientError):
-    status_code = 412
-
-
-class HTTPRequestEntityTooLarge(HTTPClientError):
-    status_code = 413
-
-    def __init__(self, max_size: float, actual_size: float, **kwargs: Any) -> None:
-        kwargs.setdefault(
-            "text",
-            "Maximum request body size {} exceeded, "
-            "actual body size {}".format(max_size, actual_size),
-        )
-        super().__init__(**kwargs)
-
-
-class HTTPRequestURITooLong(HTTPClientError):
-    status_code = 414
-
-
-class HTTPUnsupportedMediaType(HTTPClientError):
-    status_code = 415
-
-
-class HTTPRequestRangeNotSatisfiable(HTTPClientError):
-    status_code = 416
-
-
-class HTTPExpectationFailed(HTTPClientError):
-    status_code = 417
-
-
-class HTTPMisdirectedRequest(HTTPClientError):
-    status_code = 421
-
-
-class HTTPUnprocessableEntity(HTTPClientError):
-    status_code = 422
-
-
-class HTTPFailedDependency(HTTPClientError):
-    status_code = 424
-
-
-class HTTPUpgradeRequired(HTTPClientError):
-    status_code = 426
-
-
-class HTTPPreconditionRequired(HTTPClientError):
-    status_code = 428
-
-
-class HTTPTooManyRequests(HTTPClientError):
-    status_code = 429
-
-
-class HTTPRequestHeaderFieldsTooLarge(HTTPClientError):
-    status_code = 431
-
-
-class HTTPUnavailableForLegalReasons(HTTPClientError):
-    status_code = 451
-
-    def __init__(
-        self,
-        link: str,
-        *,
-        headers: Optional[LooseHeaders] = None,
-        reason: Optional[str] = None,
-        body: Any = None,
-        text: Optional[str] = None,
-        content_type: Optional[str] = None,
-    ) -> None:
-        super().__init__(
-            headers=headers,
-            reason=reason,
-            body=body,
-            text=text,
-            content_type=content_type,
-        )
-        self.headers["Link"] = '<%s>; rel="blocked-by"' % link
-        self.link = link
-
-
-############################################################
-# 5xx Server Error
-############################################################
-#  Response status codes beginning with the digit "5" indicate cases in
-#  which the server is aware that it has erred or is incapable of
-#  performing the request. Except when responding to a HEAD request, the
-#  server SHOULD include an entity containing an explanation of the error
-#  situation, and whether it is a temporary or permanent condition. User
-#  agents SHOULD display any included entity to the user. These response
-#  codes are applicable to any request method.
-
-
-class HTTPServerError(HTTPError):
-    pass
-
-
-class HTTPInternalServerError(HTTPServerError):
-    status_code = 500
-
-
-class HTTPNotImplemented(HTTPServerError):
-    status_code = 501
-
-
-class HTTPBadGateway(HTTPServerError):
-    status_code = 502
-
-
-class HTTPServiceUnavailable(HTTPServerError):
-    status_code = 503
-
-
-class HTTPGatewayTimeout(HTTPServerError):
-    status_code = 504
-
-
-class HTTPVersionNotSupported(HTTPServerError):
-    status_code = 505
-
-
-class HTTPVariantAlsoNegotiates(HTTPServerError):
-    status_code = 506
-
-
-class HTTPInsufficientStorage(HTTPServerError):
-    status_code = 507
-
-
-class HTTPNotExtended(HTTPServerError):
-    status_code = 510
-
-
-class HTTPNetworkAuthenticationRequired(HTTPServerError):
-    status_code = 511
diff --git a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/fontTools/pens/pointPen.py b/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/fontTools/pens/pointPen.py
deleted file mode 100644
index eb1ebc2048bd20efd95c444200dc6c19e4aefa83..0000000000000000000000000000000000000000
--- a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/fontTools/pens/pointPen.py
+++ /dev/null
@@ -1,525 +0,0 @@
-"""
-=========
-PointPens
-=========
-
-Where **SegmentPens** have an intuitive approach to drawing
-(if you're familiar with postscript anyway), the **PointPen**
-is geared towards accessing all the data in the contours of
-the glyph. A PointPen has a very simple interface, it just
-steps through all the points in a call from glyph.drawPoints().
-This allows the caller to provide more data for each point.
-For instance, whether or not a point is smooth, and its name.
-"""
-
-import math
-from typing import Any, Optional, Tuple, Dict
-
-from fontTools.pens.basePen import AbstractPen, PenError
-from fontTools.misc.transform import DecomposedTransform
-
-__all__ = [
-    "AbstractPointPen",
-    "BasePointToSegmentPen",
-    "PointToSegmentPen",
-    "SegmentToPointPen",
-    "GuessSmoothPointPen",
-    "ReverseContourPointPen",
-]
-
-
-class AbstractPointPen:
-    """Baseclass for all PointPens."""
-
-    def beginPath(self, identifier: Optional[str] = None, **kwargs: Any) -> None:
-        """Start a new sub path."""
-        raise NotImplementedError
-
-    def endPath(self) -> None:
-        """End the current sub path."""
-        raise NotImplementedError
-
-    def addPoint(
-        self,
-        pt: Tuple[float, float],
-        segmentType: Optional[str] = None,
-        smooth: bool = False,
-        name: Optional[str] = None,
-        identifier: Optional[str] = None,
-        **kwargs: Any,
-    ) -> None:
-        """Add a point to the current sub path."""
-        raise NotImplementedError
-
-    def addComponent(
-        self,
-        baseGlyphName: str,
-        transformation: Tuple[float, float, float, float, float, float],
-        identifier: Optional[str] = None,
-        **kwargs: Any,
-    ) -> None:
-        """Add a sub glyph."""
-        raise NotImplementedError
-
-    def addVarComponent(
-        self,
-        glyphName: str,
-        transformation: DecomposedTransform,
-        location: Dict[str, float],
-        identifier: Optional[str] = None,
-        **kwargs: Any,
-    ) -> None:
-        """Add a VarComponent sub glyph. The 'transformation' argument
-        must be a DecomposedTransform from the fontTools.misc.transform module,
-        and the 'location' argument must be a dictionary mapping axis tags
-        to their locations.
-        """
-        # ttGlyphSet decomposes for us
-        raise AttributeError
-
-
-class BasePointToSegmentPen(AbstractPointPen):
-    """
-    Base class for retrieving the outline in a segment-oriented
-    way. The PointPen protocol is simple yet also a little tricky,
-    so when you need an outline presented as segments but you have
-    as points, do use this base implementation as it properly takes
-    care of all the edge cases.
-    """
-
-    def __init__(self):
-        self.currentPath = None
-
-    def beginPath(self, identifier=None, **kwargs):
-        if self.currentPath is not None:
-            raise PenError("Path already begun.")
-        self.currentPath = []
-
-    def _flushContour(self, segments):
-        """Override this method.
-
-        It will be called for each non-empty sub path with a list
-        of segments: the 'segments' argument.
-
-        The segments list contains tuples of length 2:
-                (segmentType, points)
-
-        segmentType is one of "move", "line", "curve" or "qcurve".
-        "move" may only occur as the first segment, and it signifies
-        an OPEN path. A CLOSED path does NOT start with a "move", in
-        fact it will not contain a "move" at ALL.
-
-        The 'points' field in the 2-tuple is a list of point info
-        tuples. The list has 1 or more items, a point tuple has
-        four items:
-                (point, smooth, name, kwargs)
-        'point' is an (x, y) coordinate pair.
-
-        For a closed path, the initial moveTo point is defined as
-        the last point of the last segment.
-
-        The 'points' list of "move" and "line" segments always contains
-        exactly one point tuple.
-        """
-        raise NotImplementedError
-
-    def endPath(self):
-        if self.currentPath is None:
-            raise PenError("Path not begun.")
-        points = self.currentPath
-        self.currentPath = None
-        if not points:
-            return
-        if len(points) == 1:
-            # Not much more we can do than output a single move segment.
-            pt, segmentType, smooth, name, kwargs = points[0]
-            segments = [("move", [(pt, smooth, name, kwargs)])]
-            self._flushContour(segments)
-            return
-        segments = []
-        if points[0][1] == "move":
-            # It's an open contour, insert a "move" segment for the first
-            # point and remove that first point from the point list.
-            pt, segmentType, smooth, name, kwargs = points[0]
-            segments.append(("move", [(pt, smooth, name, kwargs)]))
-            points.pop(0)
-        else:
-            # It's a closed contour. Locate the first on-curve point, and
-            # rotate the point list so that it _ends_ with an on-curve
-            # point.
-            firstOnCurve = None
-            for i in range(len(points)):
-                segmentType = points[i][1]
-                if segmentType is not None:
-                    firstOnCurve = i
-                    break
-            if firstOnCurve is None:
-                # Special case for quadratics: a contour with no on-curve
-                # points. Add a "None" point. (See also the Pen protocol's
-                # qCurveTo() method and fontTools.pens.basePen.py.)
-                points.append((None, "qcurve", None, None, None))
-            else:
-                points = points[firstOnCurve + 1 :] + points[: firstOnCurve + 1]
-
-        currentSegment = []
-        for pt, segmentType, smooth, name, kwargs in points:
-            currentSegment.append((pt, smooth, name, kwargs))
-            if segmentType is None:
-                continue
-            segments.append((segmentType, currentSegment))
-            currentSegment = []
-
-        self._flushContour(segments)
-
-    def addPoint(
-        self, pt, segmentType=None, smooth=False, name=None, identifier=None, **kwargs
-    ):
-        if self.currentPath is None:
-            raise PenError("Path not begun")
-        self.currentPath.append((pt, segmentType, smooth, name, kwargs))
-
-
-class PointToSegmentPen(BasePointToSegmentPen):
-    """
-    Adapter class that converts the PointPen protocol to the
-    (Segment)Pen protocol.
-
-    NOTE: The segment pen does not support and will drop point names, identifiers
-    and kwargs.
-    """
-
-    def __init__(self, segmentPen, outputImpliedClosingLine=False):
-        BasePointToSegmentPen.__init__(self)
-        self.pen = segmentPen
-        self.outputImpliedClosingLine = outputImpliedClosingLine
-
-    def _flushContour(self, segments):
-        if not segments:
-            raise PenError("Must have at least one segment.")
-        pen = self.pen
-        if segments[0][0] == "move":
-            # It's an open path.
-            closed = False
-            points = segments[0][1]
-            if len(points) != 1:
-                raise PenError(f"Illegal move segment point count: {len(points)}")
-            movePt, _, _, _ = points[0]
-            del segments[0]
-        else:
-            # It's a closed path, do a moveTo to the last
-            # point of the last segment.
-            closed = True
-            segmentType, points = segments[-1]
-            movePt, _, _, _ = points[-1]
-        if movePt is None:
-            # quad special case: a contour with no on-curve points contains
-            # one "qcurve" segment that ends with a point that's None. We
-            # must not output a moveTo() in that case.
-            pass
-        else:
-            pen.moveTo(movePt)
-        outputImpliedClosingLine = self.outputImpliedClosingLine
-        nSegments = len(segments)
-        lastPt = movePt
-        for i in range(nSegments):
-            segmentType, points = segments[i]
-            points = [pt for pt, _, _, _ in points]
-            if segmentType == "line":
-                if len(points) != 1:
-                    raise PenError(f"Illegal line segment point count: {len(points)}")
-                pt = points[0]
-                # For closed contours, a 'lineTo' is always implied from the last oncurve
-                # point to the starting point, thus we can omit it when the last and
-                # starting point don't overlap.
-                # However, when the last oncurve point is a "line" segment and has same
-                # coordinates as the starting point of a closed contour, we need to output
-                # the closing 'lineTo' explicitly (regardless of the value of the
-                # 'outputImpliedClosingLine' option) in order to disambiguate this case from
-                # the implied closing 'lineTo', otherwise the duplicate point would be lost.
-                # See https://github.com/googlefonts/fontmake/issues/572.
-                if (
-                    i + 1 != nSegments
-                    or outputImpliedClosingLine
-                    or not closed
-                    or pt == lastPt
-                ):
-                    pen.lineTo(pt)
-                    lastPt = pt
-            elif segmentType == "curve":
-                pen.curveTo(*points)
-                lastPt = points[-1]
-            elif segmentType == "qcurve":
-                pen.qCurveTo(*points)
-                lastPt = points[-1]
-            else:
-                raise PenError(f"Illegal segmentType: {segmentType}")
-        if closed:
-            pen.closePath()
-        else:
-            pen.endPath()
-
-    def addComponent(self, glyphName, transform, identifier=None, **kwargs):
-        del identifier  # unused
-        del kwargs  # unused
-        self.pen.addComponent(glyphName, transform)
-
-
-class SegmentToPointPen(AbstractPen):
-    """
-    Adapter class that converts the (Segment)Pen protocol to the
-    PointPen protocol.
-    """
-
-    def __init__(self, pointPen, guessSmooth=True):
-        if guessSmooth:
-            self.pen = GuessSmoothPointPen(pointPen)
-        else:
-            self.pen = pointPen
-        self.contour = None
-
-    def _flushContour(self):
-        pen = self.pen
-        pen.beginPath()
-        for pt, segmentType in self.contour:
-            pen.addPoint(pt, segmentType=segmentType)
-        pen.endPath()
-
-    def moveTo(self, pt):
-        self.contour = []
-        self.contour.append((pt, "move"))
-
-    def lineTo(self, pt):
-        if self.contour is None:
-            raise PenError("Contour missing required initial moveTo")
-        self.contour.append((pt, "line"))
-
-    def curveTo(self, *pts):
-        if not pts:
-            raise TypeError("Must pass in at least one point")
-        if self.contour is None:
-            raise PenError("Contour missing required initial moveTo")
-        for pt in pts[:-1]:
-            self.contour.append((pt, None))
-        self.contour.append((pts[-1], "curve"))
-
-    def qCurveTo(self, *pts):
-        if not pts:
-            raise TypeError("Must pass in at least one point")
-        if pts[-1] is None:
-            self.contour = []
-        else:
-            if self.contour is None:
-                raise PenError("Contour missing required initial moveTo")
-        for pt in pts[:-1]:
-            self.contour.append((pt, None))
-        if pts[-1] is not None:
-            self.contour.append((pts[-1], "qcurve"))
-
-    def closePath(self):
-        if self.contour is None:
-            raise PenError("Contour missing required initial moveTo")
-        if len(self.contour) > 1 and self.contour[0][0] == self.contour[-1][0]:
-            self.contour[0] = self.contour[-1]
-            del self.contour[-1]
-        else:
-            # There's an implied line at the end, replace "move" with "line"
-            # for the first point
-            pt, tp = self.contour[0]
-            if tp == "move":
-                self.contour[0] = pt, "line"
-        self._flushContour()
-        self.contour = None
-
-    def endPath(self):
-        if self.contour is None:
-            raise PenError("Contour missing required initial moveTo")
-        self._flushContour()
-        self.contour = None
-
-    def addComponent(self, glyphName, transform):
-        if self.contour is not None:
-            raise PenError("Components must be added before or after contours")
-        self.pen.addComponent(glyphName, transform)
-
-
-class GuessSmoothPointPen(AbstractPointPen):
-    """
-    Filtering PointPen that tries to determine whether an on-curve point
-    should be "smooth", ie. that it's a "tangent" point or a "curve" point.
-    """
-
-    def __init__(self, outPen, error=0.05):
-        self._outPen = outPen
-        self._error = error
-        self._points = None
-
-    def _flushContour(self):
-        if self._points is None:
-            raise PenError("Path not begun")
-        points = self._points
-        nPoints = len(points)
-        if not nPoints:
-            return
-        if points[0][1] == "move":
-            # Open path.
-            indices = range(1, nPoints - 1)
-        elif nPoints > 1:
-            # Closed path. To avoid having to mod the contour index, we
-            # simply abuse Python's negative index feature, and start at -1
-            indices = range(-1, nPoints - 1)
-        else:
-            # closed path containing 1 point (!), ignore.
-            indices = []
-        for i in indices:
-            pt, segmentType, _, name, kwargs = points[i]
-            if segmentType is None:
-                continue
-            prev = i - 1
-            next = i + 1
-            if points[prev][1] is not None and points[next][1] is not None:
-                continue
-            # At least one of our neighbors is an off-curve point
-            pt = points[i][0]
-            prevPt = points[prev][0]
-            nextPt = points[next][0]
-            if pt != prevPt and pt != nextPt:
-                dx1, dy1 = pt[0] - prevPt[0], pt[1] - prevPt[1]
-                dx2, dy2 = nextPt[0] - pt[0], nextPt[1] - pt[1]
-                a1 = math.atan2(dy1, dx1)
-                a2 = math.atan2(dy2, dx2)
-                if abs(a1 - a2) < self._error:
-                    points[i] = pt, segmentType, True, name, kwargs
-
-        for pt, segmentType, smooth, name, kwargs in points:
-            self._outPen.addPoint(pt, segmentType, smooth, name, **kwargs)
-
-    def beginPath(self, identifier=None, **kwargs):
-        if self._points is not None:
-            raise PenError("Path already begun")
-        self._points = []
-        if identifier is not None:
-            kwargs["identifier"] = identifier
-        self._outPen.beginPath(**kwargs)
-
-    def endPath(self):
-        self._flushContour()
-        self._outPen.endPath()
-        self._points = None
-
-    def addPoint(
-        self, pt, segmentType=None, smooth=False, name=None, identifier=None, **kwargs
-    ):
-        if self._points is None:
-            raise PenError("Path not begun")
-        if identifier is not None:
-            kwargs["identifier"] = identifier
-        self._points.append((pt, segmentType, False, name, kwargs))
-
-    def addComponent(self, glyphName, transformation, identifier=None, **kwargs):
-        if self._points is not None:
-            raise PenError("Components must be added before or after contours")
-        if identifier is not None:
-            kwargs["identifier"] = identifier
-        self._outPen.addComponent(glyphName, transformation, **kwargs)
-
-    def addVarComponent(
-        self, glyphName, transformation, location, identifier=None, **kwargs
-    ):
-        if self._points is not None:
-            raise PenError("VarComponents must be added before or after contours")
-        if identifier is not None:
-            kwargs["identifier"] = identifier
-        self._outPen.addVarComponent(glyphName, transformation, location, **kwargs)
-
-
-class ReverseContourPointPen(AbstractPointPen):
-    """
-    This is a PointPen that passes outline data to another PointPen, but
-    reversing the winding direction of all contours. Components are simply
-    passed through unchanged.
-
-    Closed contours are reversed in such a way that the first point remains
-    the first point.
-    """
-
-    def __init__(self, outputPointPen):
-        self.pen = outputPointPen
-        # a place to store the points for the current sub path
-        self.currentContour = None
-
-    def _flushContour(self):
-        pen = self.pen
-        contour = self.currentContour
-        if not contour:
-            pen.beginPath(identifier=self.currentContourIdentifier)
-            pen.endPath()
-            return
-
-        closed = contour[0][1] != "move"
-        if not closed:
-            lastSegmentType = "move"
-        else:
-            # Remove the first point and insert it at the end. When
-            # the list of points gets reversed, this point will then
-            # again be at the start. In other words, the following
-            # will hold:
-            #   for N in range(len(originalContour)):
-            #       originalContour[N] == reversedContour[-N]
-            contour.append(contour.pop(0))
-            # Find the first on-curve point.
-            firstOnCurve = None
-            for i in range(len(contour)):
-                if contour[i][1] is not None:
-                    firstOnCurve = i
-                    break
-            if firstOnCurve is None:
-                # There are no on-curve points, be basically have to
-                # do nothing but contour.reverse().
-                lastSegmentType = None
-            else:
-                lastSegmentType = contour[firstOnCurve][1]
-
-        contour.reverse()
-        if not closed:
-            # Open paths must start with a move, so we simply dump
-            # all off-curve points leading up to the first on-curve.
-            while contour[0][1] is None:
-                contour.pop(0)
-        pen.beginPath(identifier=self.currentContourIdentifier)
-        for pt, nextSegmentType, smooth, name, kwargs in contour:
-            if nextSegmentType is not None:
-                segmentType = lastSegmentType
-                lastSegmentType = nextSegmentType
-            else:
-                segmentType = None
-            pen.addPoint(
-                pt, segmentType=segmentType, smooth=smooth, name=name, **kwargs
-            )
-        pen.endPath()
-
-    def beginPath(self, identifier=None, **kwargs):
-        if self.currentContour is not None:
-            raise PenError("Path already begun")
-        self.currentContour = []
-        self.currentContourIdentifier = identifier
-        self.onCurve = []
-
-    def endPath(self):
-        if self.currentContour is None:
-            raise PenError("Path not begun")
-        self._flushContour()
-        self.currentContour = None
-
-    def addPoint(
-        self, pt, segmentType=None, smooth=False, name=None, identifier=None, **kwargs
-    ):
-        if self.currentContour is None:
-            raise PenError("Path not begun")
-        if identifier is not None:
-            kwargs["identifier"] = identifier
-        self.currentContour.append((pt, segmentType, smooth, name, kwargs))
-
-    def addComponent(self, glyphName, transform, identifier=None, **kwargs):
-        if self.currentContour is not None:
-            raise PenError("Components must be added before or after contours")
-        self.pen.addComponent(glyphName, transform, identifier=identifier, **kwargs)
diff --git a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/gradio/templates/cdn/assets/frontmatter-a7eb4cbf.js b/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/gradio/templates/cdn/assets/frontmatter-a7eb4cbf.js
deleted file mode 100644
index c3d36644dea2316198980b7053fcb5be245cb66e..0000000000000000000000000000000000000000
--- a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/gradio/templates/cdn/assets/frontmatter-a7eb4cbf.js
+++ /dev/null
@@ -1,2 +0,0 @@
-import{s as m,f as s,a as i,p,t as a,S as l}from"./index-90411bc1.js";import{yaml as f}from"./yaml-95012b83.js";import"./index-7c0e54a6.js";import"./Blocks-61158678.js";import"./Button-661a0701.js";import"./BlockLabel-95be8dd1.js";import"./Empty-96265974.js";/* empty css                                                    */import"./Copy-c4997e4e.js";import"./Download-e5de98da.js";const n=/^---\s*$/m,b={defineNodes:[{name:"Frontmatter",block:!0},"FrontmatterMark"],props:[m({Frontmatter:[a.documentMeta,a.monospace],FrontmatterMark:a.processingInstruction}),s.add({Frontmatter:i,FrontmatterMark:()=>null})],wrap:p(t=>{const{parser:e}=l.define(f);return t.type.name==="Frontmatter"?{parser:e,overlay:[{from:t.from+4,to:t.to-4}]}:null}),parseBlock:[{name:"Frontmatter",before:"HorizontalRule",parse:(t,e)=>{let r;const o=new Array;if(t.lineStart===0&&n.test(e.text)){for(o.push(t.elt("FrontmatterMark",0,4));t.nextLine();)if(n.test(e.text)){r=t.lineStart+4;break}return r!==void 0&&(o.push(t.elt("FrontmatterMark",r-4,r)),t.addElement(t.elt("Frontmatter",0,r,o))),!0}else return!1}}]};export{b as frontmatter};
-//# sourceMappingURL=frontmatter-a7eb4cbf.js.map
diff --git a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/BlockTitle-338c46c0.js b/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/BlockTitle-338c46c0.js
deleted file mode 100644
index 396dcf2c128f88eb64aaaced2b098aea694958bf..0000000000000000000000000000000000000000
--- a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/gradio/templates/frontend/assets/BlockTitle-338c46c0.js
+++ /dev/null
@@ -1,2 +0,0 @@
-import{S as d,i as h,s as g,V as k,G as w,H as $,f as I,C as q,M as _,g as m,X as B,Y as C,Z as S,p as r,l as j,t as c,o as G,q as p,e as H,m as K,n as M,I as N,K as T}from"./index-8c3da1d9.js";import{I as V}from"./Info-b95ed9db.js";import"./Button-62634b34.js";function b(f){let e,n;return e=new V({props:{$$slots:{default:[X]},$$scope:{ctx:f}}}),{c(){H(e.$$.fragment)},m(l,o){K(e,l,o),n=!0},p(l,o){const u={};o&10&&(u.$$scope={dirty:o,ctx:l}),e.$set(u)},i(l){n||(r(e.$$.fragment,l),n=!0)},o(l){c(e.$$.fragment,l),n=!1},d(l){M(e,l)}}}function X(f){let e;return{c(){e=N(f[1])},m(n,l){m(n,e,l)},p(n,l){l&2&&T(e,n[1])},d(n){n&&p(e)}}}function Y(f){let e,n,l,o;const u=f[2].default,a=k(u,f,f[3],null);let s=f[1]&&b(f);return{c(){e=w("span"),a&&a.c(),n=$(),s&&s.c(),l=I(),q(e,"class","svelte-1gfkn6j"),_(e,"sr-only",!f[0]),_(e,"hide",!f[0]),_(e,"has-info",f[1]!=null)},m(t,i){m(t,e,i),a&&a.m(e,null),m(t,n,i),s&&s.m(t,i),m(t,l,i),o=!0},p(t,[i]){a&&a.p&&(!o||i&8)&&B(a,u,t,t[3],o?S(u,t[3],i,null):C(t[3]),null),(!o||i&1)&&_(e,"sr-only",!t[0]),(!o||i&1)&&_(e,"hide",!t[0]),(!o||i&2)&&_(e,"has-info",t[1]!=null),t[1]?s?(s.p(t,i),i&2&&r(s,1)):(s=b(t),s.c(),r(s,1),s.m(l.parentNode,l)):s&&(j(),c(s,1,1,()=>{s=null}),G())},i(t){o||(r(a,t),r(s),o=!0)},o(t){c(a,t),c(s),o=!1},d(t){t&&p(e),a&&a.d(t),t&&p(n),s&&s.d(t),t&&p(l)}}}function Z(f,e,n){let{$$slots:l={},$$scope:o}=e,{show_label:u=!0}=e,{info:a=void 0}=e;return f.$$set=s=>{"show_label"in s&&n(0,u=s.show_label),"info"in s&&n(1,a=s.info),"$$scope"in s&&n(3,o=s.$$scope)},[u,a,l,o]}class D extends d{constructor(e){super(),h(this,e,Z,Y,g,{show_label:0,info:1})}}export{D as B};
-//# sourceMappingURL=BlockTitle-338c46c0.js.map
diff --git a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/httpcore/_sync/connection.py b/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/httpcore/_sync/connection.py
deleted file mode 100644
index d40b155bb374d228e74b5d1037cd9193aefb067b..0000000000000000000000000000000000000000
--- a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/httpcore/_sync/connection.py
+++ /dev/null
@@ -1,215 +0,0 @@
-import itertools
-import logging
-import ssl
-from types import TracebackType
-from typing import Iterable, Iterator, Optional, Type
-
-from .._exceptions import ConnectError, ConnectionNotAvailable, ConnectTimeout
-from .._models import Origin, Request, Response
-from .._ssl import default_ssl_context
-from .._synchronization import Lock
-from .._trace import Trace
-from ..backends.sync import SyncBackend
-from ..backends.base import SOCKET_OPTION, NetworkBackend, NetworkStream
-from .http11 import HTTP11Connection
-from .interfaces import ConnectionInterface
-
-RETRIES_BACKOFF_FACTOR = 0.5  # 0s, 0.5s, 1s, 2s, 4s, etc.
-
-
-logger = logging.getLogger("httpcore.connection")
-
-
-def exponential_backoff(factor: float) -> Iterator[float]:
-    yield 0
-    for n in itertools.count(2):
-        yield factor * (2 ** (n - 2))
-
-
-class HTTPConnection(ConnectionInterface):
-    def __init__(
-        self,
-        origin: Origin,
-        ssl_context: Optional[ssl.SSLContext] = None,
-        keepalive_expiry: Optional[float] = None,
-        http1: bool = True,
-        http2: bool = False,
-        retries: int = 0,
-        local_address: Optional[str] = None,
-        uds: Optional[str] = None,
-        network_backend: Optional[NetworkBackend] = None,
-        socket_options: Optional[Iterable[SOCKET_OPTION]] = None,
-    ) -> None:
-        self._origin = origin
-        self._ssl_context = ssl_context
-        self._keepalive_expiry = keepalive_expiry
-        self._http1 = http1
-        self._http2 = http2
-        self._retries = retries
-        self._local_address = local_address
-        self._uds = uds
-
-        self._network_backend: NetworkBackend = (
-            SyncBackend() if network_backend is None else network_backend
-        )
-        self._connection: Optional[ConnectionInterface] = None
-        self._connect_failed: bool = False
-        self._request_lock = Lock()
-        self._socket_options = socket_options
-
-    def handle_request(self, request: Request) -> Response:
-        if not self.can_handle_request(request.url.origin):
-            raise RuntimeError(
-                f"Attempted to send request to {request.url.origin} on connection to {self._origin}"
-            )
-
-        with self._request_lock:
-            if self._connection is None:
-                try:
-                    stream = self._connect(request)
-
-                    ssl_object = stream.get_extra_info("ssl_object")
-                    http2_negotiated = (
-                        ssl_object is not None
-                        and ssl_object.selected_alpn_protocol() == "h2"
-                    )
-                    if http2_negotiated or (self._http2 and not self._http1):
-                        from .http2 import HTTP2Connection
-
-                        self._connection = HTTP2Connection(
-                            origin=self._origin,
-                            stream=stream,
-                            keepalive_expiry=self._keepalive_expiry,
-                        )
-                    else:
-                        self._connection = HTTP11Connection(
-                            origin=self._origin,
-                            stream=stream,
-                            keepalive_expiry=self._keepalive_expiry,
-                        )
-                except Exception as exc:
-                    self._connect_failed = True
-                    raise exc
-            elif not self._connection.is_available():
-                raise ConnectionNotAvailable()
-
-        return self._connection.handle_request(request)
-
-    def _connect(self, request: Request) -> NetworkStream:
-        timeouts = request.extensions.get("timeout", {})
-        sni_hostname = request.extensions.get("sni_hostname", None)
-        timeout = timeouts.get("connect", None)
-
-        retries_left = self._retries
-        delays = exponential_backoff(factor=RETRIES_BACKOFF_FACTOR)
-
-        while True:
-            try:
-                if self._uds is None:
-                    kwargs = {
-                        "host": self._origin.host.decode("ascii"),
-                        "port": self._origin.port,
-                        "local_address": self._local_address,
-                        "timeout": timeout,
-                        "socket_options": self._socket_options,
-                    }
-                    with Trace("connect_tcp", logger, request, kwargs) as trace:
-                        stream = self._network_backend.connect_tcp(**kwargs)
-                        trace.return_value = stream
-                else:
-                    kwargs = {
-                        "path": self._uds,
-                        "timeout": timeout,
-                        "socket_options": self._socket_options,
-                    }
-                    with Trace(
-                        "connect_unix_socket", logger, request, kwargs
-                    ) as trace:
-                        stream = self._network_backend.connect_unix_socket(
-                            **kwargs
-                        )
-                        trace.return_value = stream
-
-                if self._origin.scheme == b"https":
-                    ssl_context = (
-                        default_ssl_context()
-                        if self._ssl_context is None
-                        else self._ssl_context
-                    )
-                    alpn_protocols = ["http/1.1", "h2"] if self._http2 else ["http/1.1"]
-                    ssl_context.set_alpn_protocols(alpn_protocols)
-
-                    kwargs = {
-                        "ssl_context": ssl_context,
-                        "server_hostname": sni_hostname
-                        or self._origin.host.decode("ascii"),
-                        "timeout": timeout,
-                    }
-                    with Trace("start_tls", logger, request, kwargs) as trace:
-                        stream = stream.start_tls(**kwargs)
-                        trace.return_value = stream
-                return stream
-            except (ConnectError, ConnectTimeout):
-                if retries_left <= 0:
-                    raise
-                retries_left -= 1
-                delay = next(delays)
-                with Trace("retry", logger, request, kwargs) as trace:
-                    self._network_backend.sleep(delay)
-
-    def can_handle_request(self, origin: Origin) -> bool:
-        return origin == self._origin
-
-    def close(self) -> None:
-        if self._connection is not None:
-            with Trace("close", logger, None, {}):
-                self._connection.close()
-
-    def is_available(self) -> bool:
-        if self._connection is None:
-            # If HTTP/2 support is enabled, and the resulting connection could
-            # end up as HTTP/2 then we should indicate the connection as being
-            # available to service multiple requests.
-            return (
-                self._http2
-                and (self._origin.scheme == b"https" or not self._http1)
-                and not self._connect_failed
-            )
-        return self._connection.is_available()
-
-    def has_expired(self) -> bool:
-        if self._connection is None:
-            return self._connect_failed
-        return self._connection.has_expired()
-
-    def is_idle(self) -> bool:
-        if self._connection is None:
-            return self._connect_failed
-        return self._connection.is_idle()
-
-    def is_closed(self) -> bool:
-        if self._connection is None:
-            return self._connect_failed
-        return self._connection.is_closed()
-
-    def info(self) -> str:
-        if self._connection is None:
-            return "CONNECTION FAILED" if self._connect_failed else "CONNECTING"
-        return self._connection.info()
-
-    def __repr__(self) -> str:
-        return f"<{self.__class__.__name__} [{self.info()}]>"
-
-    # These context managers are not used in the standard flow, but are
-    # useful for testing or working with connection instances directly.
-
-    def __enter__(self) -> "HTTPConnection":
-        return self
-
-    def __exit__(
-        self,
-        exc_type: Optional[Type[BaseException]] = None,
-        exc_value: Optional[BaseException] = None,
-        traceback: Optional[TracebackType] = None,
-    ) -> None:
-        self.close()
diff --git a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/jsonschema/_validators.py b/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/jsonschema/_validators.py
deleted file mode 100644
index 8542a879c8238e62be9673bf46bb869eb1af5374..0000000000000000000000000000000000000000
--- a/spaces/ky2k/Toxicity_Classifier_POC/.venv/lib/python3.9/site-packages/jsonschema/_validators.py
+++ /dev/null
@@ -1,476 +0,0 @@
-from fractions import Fraction
-from urllib.parse import urldefrag, urljoin
-import re
-
-from jsonschema._utils import (
-    ensure_list,
-    equal,
-    extras_msg,
-    find_additional_properties,
-    find_evaluated_item_indexes_by_schema,
-    find_evaluated_property_keys_by_schema,
-    unbool,
-    uniq,
-)
-from jsonschema.exceptions import FormatError, ValidationError
-
-
-def patternProperties(validator, patternProperties, instance, schema):
-    if not validator.is_type(instance, "object"):
-        return
-
-    for pattern, subschema in patternProperties.items():
-        for k, v in instance.items():
-            if re.search(pattern, k):
-                yield from validator.descend(
-                    v, subschema, path=k, schema_path=pattern,
-                )
-
-
-def propertyNames(validator, propertyNames, instance, schema):
-    if not validator.is_type(instance, "object"):
-        return
-
-    for property in instance:
-        yield from validator.descend(instance=property, schema=propertyNames)
-
-
-def additionalProperties(validator, aP, instance, schema):
-    if not validator.is_type(instance, "object"):
-        return
-
-    extras = set(find_additional_properties(instance, schema))
-
-    if validator.is_type(aP, "object"):
-        for extra in extras:
-            yield from validator.descend(instance[extra], aP, path=extra)
-    elif not aP and extras:
-        if "patternProperties" in schema:
-            if len(extras) == 1:
-                verb = "does"
-            else:
-                verb = "do"
-
-            joined = ", ".join(repr(each) for each in sorted(extras))
-            patterns = ", ".join(
-                repr(each) for each in sorted(schema["patternProperties"])
-            )
-            error = f"{joined} {verb} not match any of the regexes: {patterns}"
-            yield ValidationError(error)
-        else:
-            error = "Additional properties are not allowed (%s %s unexpected)"
-            yield ValidationError(error % extras_msg(extras))
-
-
-def items(validator, items, instance, schema):
-    if not validator.is_type(instance, "array"):
-        return
-
-    prefix = len(schema.get("prefixItems", []))
-    total = len(instance)
-    if items is False and total > prefix:
-        message = f"Expected at most {prefix} items, but found {total}"
-        yield ValidationError(message)
-    else:
-        for index in range(prefix, total):
-            yield from validator.descend(
-                instance=instance[index],
-                schema=items,
-                path=index,
-            )
-
-
-def additionalItems(validator, aI, instance, schema):
-    if (
-        not validator.is_type(instance, "array")
-        or validator.is_type(schema.get("items", {}), "object")
-    ):
-        return
-
-    len_items = len(schema.get("items", []))
-    if validator.is_type(aI, "object"):
-        for index, item in enumerate(instance[len_items:], start=len_items):
-            yield from validator.descend(item, aI, path=index)
-    elif not aI and len(instance) > len(schema.get("items", [])):
-        error = "Additional items are not allowed (%s %s unexpected)"
-        yield ValidationError(
-            error % extras_msg(instance[len(schema.get("items", [])):]),
-        )
-
-
-def const(validator, const, instance, schema):
-    if not equal(instance, const):
-        yield ValidationError(f"{const!r} was expected")
-
-
-def contains(validator, contains, instance, schema):
-    if not validator.is_type(instance, "array"):
-        return
-
-    matches = 0
-    min_contains = schema.get("minContains", 1)
-    max_contains = schema.get("maxContains", len(instance))
-
-    for each in instance:
-        if validator.evolve(schema=contains).is_valid(each):
-            matches += 1
-            if matches > max_contains:
-                yield ValidationError(
-                    "Too many items match the given schema "
-                    f"(expected at most {max_contains})",
-                    validator="maxContains",
-                    validator_value=max_contains,
-                )
-                return
-
-    if matches < min_contains:
-        if not matches:
-            yield ValidationError(
-                f"{instance!r} does not contain items "
-                "matching the given schema",
-            )
-        else:
-            yield ValidationError(
-                "Too few items match the given schema (expected at least "
-                f"{min_contains} but only {matches} matched)",
-                validator="minContains",
-                validator_value=min_contains,
-            )
-
-
-def exclusiveMinimum(validator, minimum, instance, schema):
-    if not validator.is_type(instance, "number"):
-        return
-
-    if instance <= minimum:
-        yield ValidationError(
-            f"{instance!r} is less than or equal to "
-            f"the minimum of {minimum!r}",
-        )
-
-
-def exclusiveMaximum(validator, maximum, instance, schema):
-    if not validator.is_type(instance, "number"):
-        return
-
-    if instance >= maximum:
-        yield ValidationError(
-            f"{instance!r} is greater than or equal "
-            f"to the maximum of {maximum!r}",
-        )
-
-
-def minimum(validator, minimum, instance, schema):
-    if not validator.is_type(instance, "number"):
-        return
-
-    if instance < minimum:
-        message = f"{instance!r} is less than the minimum of {minimum!r}"
-        yield ValidationError(message)
-
-
-def maximum(validator, maximum, instance, schema):
-    if not validator.is_type(instance, "number"):
-        return
-
-    if instance > maximum:
-        message = f"{instance!r} is greater than the maximum of {maximum!r}"
-        yield ValidationError(message)
-
-
-def multipleOf(validator, dB, instance, schema):
-    if not validator.is_type(instance, "number"):
-        return
-
-    if isinstance(dB, float):
-        quotient = instance / dB
-        try:
-            failed = int(quotient) != quotient
-        except OverflowError:
-            # When `instance` is large and `dB` is less than one,
-            # quotient can overflow to infinity; and then casting to int
-            # raises an error.
-            #
-            # In this case we fall back to Fraction logic, which is
-            # exact and cannot overflow.  The performance is also
-            # acceptable: we try the fast all-float option first, and
-            # we know that fraction(dB) can have at most a few hundred
-            # digits in each part.  The worst-case slowdown is therefore
-            # for already-slow enormous integers or Decimals.
-            failed = (Fraction(instance) / Fraction(dB)).denominator != 1
-    else:
-        failed = instance % dB
-
-    if failed:
-        yield ValidationError(f"{instance!r} is not a multiple of {dB}")
-
-
-def minItems(validator, mI, instance, schema):
-    if validator.is_type(instance, "array") and len(instance) < mI:
-        yield ValidationError(f"{instance!r} is too short")
-
-
-def maxItems(validator, mI, instance, schema):
-    if validator.is_type(instance, "array") and len(instance) > mI:
-        yield ValidationError(f"{instance!r} is too long")
-
-
-def uniqueItems(validator, uI, instance, schema):
-    if (
-        uI
-        and validator.is_type(instance, "array")
-        and not uniq(instance)
-    ):
-        yield ValidationError(f"{instance!r} has non-unique elements")
-
-
-def pattern(validator, patrn, instance, schema):
-    if (
-        validator.is_type(instance, "string")
-        and not re.search(patrn, instance)
-    ):
-        yield ValidationError(f"{instance!r} does not match {patrn!r}")
-
-
-def format(validator, format, instance, schema):
-    if validator.format_checker is not None:
-        try:
-            validator.format_checker.check(instance, format)
-        except FormatError as error:
-            yield ValidationError(error.message, cause=error.cause)
-
-
-def minLength(validator, mL, instance, schema):
-    if validator.is_type(instance, "string") and len(instance) < mL:
-        yield ValidationError(f"{instance!r} is too short")
-
-
-def maxLength(validator, mL, instance, schema):
-    if validator.is_type(instance, "string") and len(instance) > mL:
-        yield ValidationError(f"{instance!r} is too long")
-
-
-def dependentRequired(validator, dependentRequired, instance, schema):
-    if not validator.is_type(instance, "object"):
-        return
-
-    for property, dependency in dependentRequired.items():
-        if property not in instance:
-            continue
-
-        for each in dependency:
-            if each not in instance:
-                message = f"{each!r} is a dependency of {property!r}"
-                yield ValidationError(message)
-
-
-def dependentSchemas(validator, dependentSchemas, instance, schema):
-    if not validator.is_type(instance, "object"):
-        return
-
-    for property, dependency in dependentSchemas.items():
-        if property not in instance:
-            continue
-        yield from validator.descend(
-            instance, dependency, schema_path=property,
-        )
-
-
-def enum(validator, enums, instance, schema):
-    if instance == 0 or instance == 1:
-        unbooled = unbool(instance)
-        if all(unbooled != unbool(each) for each in enums):
-            yield ValidationError(f"{instance!r} is not one of {enums!r}")
-    elif instance not in enums:
-        yield ValidationError(f"{instance!r} is not one of {enums!r}")
-
-
-def ref(validator, ref, instance, schema):
-    resolve = getattr(validator.resolver, "resolve", None)
-    if resolve is None:
-        with validator.resolver.resolving(ref) as resolved:
-            yield from validator.descend(instance, resolved)
-    else:
-        scope, resolved = validator.resolver.resolve(ref)
-        validator.resolver.push_scope(scope)
-
-        try:
-            yield from validator.descend(instance, resolved)
-        finally:
-            validator.resolver.pop_scope()
-
-
-def dynamicRef(validator, dynamicRef, instance, schema):
-    _, fragment = urldefrag(dynamicRef)
-
-    for url in validator.resolver._scopes_stack:
-        lookup_url = urljoin(url, dynamicRef)
-        with validator.resolver.resolving(lookup_url) as subschema:
-            if ("$dynamicAnchor" in subschema
-                    and fragment == subschema["$dynamicAnchor"]):
-                yield from validator.descend(instance, subschema)
-                break
-    else:
-        with validator.resolver.resolving(dynamicRef) as subschema:
-            yield from validator.descend(instance, subschema)
-
-
-def type(validator, types, instance, schema):
-    types = ensure_list(types)
-
-    if not any(validator.is_type(instance, type) for type in types):
-        reprs = ", ".join(repr(type) for type in types)
-        yield ValidationError(f"{instance!r} is not of type {reprs}")
-
-
-def properties(validator, properties, instance, schema):
-    if not validator.is_type(instance, "object"):
-        return
-
-    for property, subschema in properties.items():
-        if property in instance:
-            yield from validator.descend(
-                instance[property],
-                subschema,
-                path=property,
-                schema_path=property,
-            )
-
-
-def required(validator, required, instance, schema):
-    if not validator.is_type(instance, "object"):
-        return
-    for property in required:
-        if property not in instance:
-            yield ValidationError(f"{property!r} is a required property")
-
-
-def minProperties(validator, mP, instance, schema):
-    if validator.is_type(instance, "object") and len(instance) < mP:
-        yield ValidationError(f"{instance!r} does not have enough properties")
-
-
-def maxProperties(validator, mP, instance, schema):
-    if not validator.is_type(instance, "object"):
-        return
-    if validator.is_type(instance, "object") and len(instance) > mP:
-        yield ValidationError(f"{instance!r} has too many properties")
-
-
-def allOf(validator, allOf, instance, schema):
-    for index, subschema in enumerate(allOf):
-        yield from validator.descend(instance, subschema, schema_path=index)
-
-
-def anyOf(validator, anyOf, instance, schema):
-    all_errors = []
-    for index, subschema in enumerate(anyOf):
-        errs = list(validator.descend(instance, subschema, schema_path=index))
-        if not errs:
-            break
-        all_errors.extend(errs)
-    else:
-        yield ValidationError(
-            f"{instance!r} is not valid under any of the given schemas",
-            context=all_errors,
-        )
-
-
-def oneOf(validator, oneOf, instance, schema):
-    subschemas = enumerate(oneOf)
-    all_errors = []
-    for index, subschema in subschemas:
-        errs = list(validator.descend(instance, subschema, schema_path=index))
-        if not errs:
-            first_valid = subschema
-            break
-        all_errors.extend(errs)
-    else:
-        yield ValidationError(
-            f"{instance!r} is not valid under any of the given schemas",
-            context=all_errors,
-        )
-
-    more_valid = [
-        each for _, each in subschemas
-        if validator.evolve(schema=each).is_valid(instance)
-    ]
-    if more_valid:
-        more_valid.append(first_valid)
-        reprs = ", ".join(repr(schema) for schema in more_valid)
-        yield ValidationError(f"{instance!r} is valid under each of {reprs}")
-
-
-def not_(validator, not_schema, instance, schema):
-    if validator.evolve(schema=not_schema).is_valid(instance):
-        message = f"{instance!r} should not be valid under {not_schema!r}"
-        yield ValidationError(message)
-
-
-def if_(validator, if_schema, instance, schema):
-    if validator.evolve(schema=if_schema).is_valid(instance):
-        if "then" in schema:
-            then = schema["then"]
-            yield from validator.descend(instance, then, schema_path="then")
-    elif "else" in schema:
-        else_ = schema["else"]
-        yield from validator.descend(instance, else_, schema_path="else")
-
-
-def unevaluatedItems(validator, unevaluatedItems, instance, schema):
-    if not validator.is_type(instance, "array"):
-        return
-    evaluated_item_indexes = find_evaluated_item_indexes_by_schema(
-        validator, instance, schema,
-    )
-    unevaluated_items = [
-        item for index, item in enumerate(instance)
-        if index not in evaluated_item_indexes
-    ]
-    if unevaluated_items:
-        error = "Unevaluated items are not allowed (%s %s unexpected)"
-        yield ValidationError(error % extras_msg(unevaluated_items))
-
-
-def unevaluatedProperties(validator, unevaluatedProperties, instance, schema):
-    if not validator.is_type(instance, "object"):
-        return
-    evaluated_keys = find_evaluated_property_keys_by_schema(
-        validator, instance, schema,
-    )
-    unevaluated_keys = []
-    for property in instance:
-        if property not in evaluated_keys:
-            for _ in validator.descend(
-                instance[property],
-                unevaluatedProperties,
-                path=property,
-                schema_path=property,
-            ):
-                # FIXME: Include context for each unevaluated property
-                #        indicating why it's invalid under the subschema.
-                unevaluated_keys.append(property)
-
-    if unevaluated_keys:
-        if unevaluatedProperties is False:
-            error = "Unevaluated properties are not allowed (%s %s unexpected)"
-            yield ValidationError(error % extras_msg(unevaluated_keys))
-        else:
-            error = (
-                "Unevaluated properties are not valid under "
-                "the given schema (%s %s unevaluated and invalid)"
-            )
-            yield ValidationError(error % extras_msg(unevaluated_keys))
-
-
-def prefixItems(validator, prefixItems, instance, schema):
-    if not validator.is_type(instance, "array"):
-        return
-
-    for (index, item), subschema in zip(enumerate(instance), prefixItems):
-        yield from validator.descend(
-            instance=item,
-            schema=subschema,
-            schema_path=index,
-            path=index,
-        )
diff --git a/spaces/langdonholmes/piilo/piilo/main.py b/spaces/langdonholmes/piilo/piilo/main.py
deleted file mode 100644
index d8c740f8b31dc7ec61058304d46cb9c5cda1f75b..0000000000000000000000000000000000000000
--- a/spaces/langdonholmes/piilo/piilo/main.py
+++ /dev/null
@@ -1,51 +0,0 @@
-'''Main  for PIILO'''
-
-import logging
-
-# assumes piilo is in site-packages
-from piilo.engines.analyzer import CustomAnalyzer
-from piilo.engines.anonymizer import SurrogateAnonymizer
-from piilo.models.anonymize import AnonymizeRequest, AnonymizeResponse
-
-configuration = {
-    'nlp_engine_name': 'spacy',
-    'models': [
-        {'lang_code': 'en', 'model_name': 'en_student_name_detector'}],
-}
-
-logger = logging.getLogger('piilo')
-
-logger.info("Loading Custom Presidio Analyzer and Anonymizer...")
-analyzer = CustomAnalyzer(configuration)
-anonymizer = SurrogateAnonymizer()
-logger.info("Loading Successful!")
-
-def analyze(raw_text: str, entities=None, language='en'):
-    analyzer_result = analyzer.analyze(raw_text,
-                                       entities=entities,
-                                       language=language,
-                                       )
-    return analyzer_result
-
-def anonymize(raw_text: str, entities=None, language='en') -> str:
-    
-    analyzer_result = analyze(raw_text, entities, language)
-    
-    return anonymizer.anonymize(raw_text,
-                                analyzer_result)
-
-def get_anonymize(anon_req: AnonymizeRequest) -> AnonymizeResponse:
-    
-    anonymizer_result = anonymize(anon_req.raw_text,
-                                  entities=anon_req.entities,
-                                  language=anon_req.language,
-                                  )
-    
-    anonymize_response = AnonymizeResponse(
-        anonymized_text=anonymizer_result
-        )
-    
-    return anonymize_response
-
-if __name__ == "__main__":
-    pass
\ No newline at end of file
diff --git a/spaces/leafShen/CodeFormer/CodeFormer/basicsr/archs/rrdbnet_arch.py b/spaces/leafShen/CodeFormer/CodeFormer/basicsr/archs/rrdbnet_arch.py
deleted file mode 100644
index 49a2d6c204557cba53ada7550deb587541855cfb..0000000000000000000000000000000000000000
--- a/spaces/leafShen/CodeFormer/CodeFormer/basicsr/archs/rrdbnet_arch.py
+++ /dev/null
@@ -1,119 +0,0 @@
-import torch
-from torch import nn as nn
-from torch.nn import functional as F
-
-from basicsr.utils.registry import ARCH_REGISTRY
-from .arch_util import default_init_weights, make_layer, pixel_unshuffle
-
-
-class ResidualDenseBlock(nn.Module):
-    """Residual Dense Block.
-
-    Used in RRDB block in ESRGAN.
-
-    Args:
-        num_feat (int): Channel number of intermediate features.
-        num_grow_ch (int): Channels for each growth.
-    """
-
-    def __init__(self, num_feat=64, num_grow_ch=32):
-        super(ResidualDenseBlock, self).__init__()
-        self.conv1 = nn.Conv2d(num_feat, num_grow_ch, 3, 1, 1)
-        self.conv2 = nn.Conv2d(num_feat + num_grow_ch, num_grow_ch, 3, 1, 1)
-        self.conv3 = nn.Conv2d(num_feat + 2 * num_grow_ch, num_grow_ch, 3, 1, 1)
-        self.conv4 = nn.Conv2d(num_feat + 3 * num_grow_ch, num_grow_ch, 3, 1, 1)
-        self.conv5 = nn.Conv2d(num_feat + 4 * num_grow_ch, num_feat, 3, 1, 1)
-
-        self.lrelu = nn.LeakyReLU(negative_slope=0.2, inplace=True)
-
-        # initialization
-        default_init_weights([self.conv1, self.conv2, self.conv3, self.conv4, self.conv5], 0.1)
-
-    def forward(self, x):
-        x1 = self.lrelu(self.conv1(x))
-        x2 = self.lrelu(self.conv2(torch.cat((x, x1), 1)))
-        x3 = self.lrelu(self.conv3(torch.cat((x, x1, x2), 1)))
-        x4 = self.lrelu(self.conv4(torch.cat((x, x1, x2, x3), 1)))
-        x5 = self.conv5(torch.cat((x, x1, x2, x3, x4), 1))
-        # Emperically, we use 0.2 to scale the residual for better performance
-        return x5 * 0.2 + x
-
-
-class RRDB(nn.Module):
-    """Residual in Residual Dense Block.
-
-    Used in RRDB-Net in ESRGAN.
-
-    Args:
-        num_feat (int): Channel number of intermediate features.
-        num_grow_ch (int): Channels for each growth.
-    """
-
-    def __init__(self, num_feat, num_grow_ch=32):
-        super(RRDB, self).__init__()
-        self.rdb1 = ResidualDenseBlock(num_feat, num_grow_ch)
-        self.rdb2 = ResidualDenseBlock(num_feat, num_grow_ch)
-        self.rdb3 = ResidualDenseBlock(num_feat, num_grow_ch)
-
-    def forward(self, x):
-        out = self.rdb1(x)
-        out = self.rdb2(out)
-        out = self.rdb3(out)
-        # Emperically, we use 0.2 to scale the residual for better performance
-        return out * 0.2 + x
-
-
-@ARCH_REGISTRY.register()
-class RRDBNet(nn.Module):
-    """Networks consisting of Residual in Residual Dense Block, which is used
-    in ESRGAN.
-
-    ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.
-
-    We extend ESRGAN for scale x2 and scale x1.
-    Note: This is one option for scale 1, scale 2 in RRDBNet.
-    We first employ the pixel-unshuffle (an inverse operation of pixelshuffle to reduce the spatial size
-    and enlarge the channel size before feeding inputs into the main ESRGAN architecture.
-
-    Args:
-        num_in_ch (int): Channel number of inputs.
-        num_out_ch (int): Channel number of outputs.
-        num_feat (int): Channel number of intermediate features.
-            Default: 64
-        num_block (int): Block number in the trunk network. Defaults: 23
-        num_grow_ch (int): Channels for each growth. Default: 32.
-    """
-
-    def __init__(self, num_in_ch, num_out_ch, scale=4, num_feat=64, num_block=23, num_grow_ch=32):
-        super(RRDBNet, self).__init__()
-        self.scale = scale
-        if scale == 2:
-            num_in_ch = num_in_ch * 4
-        elif scale == 1:
-            num_in_ch = num_in_ch * 16
-        self.conv_first = nn.Conv2d(num_in_ch, num_feat, 3, 1, 1)
-        self.body = make_layer(RRDB, num_block, num_feat=num_feat, num_grow_ch=num_grow_ch)
-        self.conv_body = nn.Conv2d(num_feat, num_feat, 3, 1, 1)
-        # upsample
-        self.conv_up1 = nn.Conv2d(num_feat, num_feat, 3, 1, 1)
-        self.conv_up2 = nn.Conv2d(num_feat, num_feat, 3, 1, 1)
-        self.conv_hr = nn.Conv2d(num_feat, num_feat, 3, 1, 1)
-        self.conv_last = nn.Conv2d(num_feat, num_out_ch, 3, 1, 1)
-
-        self.lrelu = nn.LeakyReLU(negative_slope=0.2, inplace=True)
-
-    def forward(self, x):
-        if self.scale == 2:
-            feat = pixel_unshuffle(x, scale=2)
-        elif self.scale == 1:
-            feat = pixel_unshuffle(x, scale=4)
-        else:
-            feat = x
-        feat = self.conv_first(feat)
-        body_feat = self.conv_body(self.body(feat))
-        feat = feat + body_feat
-        # upsample
-        feat = self.lrelu(self.conv_up1(F.interpolate(feat, scale_factor=2, mode='nearest')))
-        feat = self.lrelu(self.conv_up2(F.interpolate(feat, scale_factor=2, mode='nearest')))
-        out = self.conv_last(self.lrelu(self.conv_hr(feat)))
-        return out
\ No newline at end of file
diff --git a/spaces/lewisliuX123/wechatgpt3/scripts/shutdown.sh b/spaces/lewisliuX123/wechatgpt3/scripts/shutdown.sh
deleted file mode 100644
index c2bf6b14adcafd46e7278ab3730ab7f78b82c593..0000000000000000000000000000000000000000
--- a/spaces/lewisliuX123/wechatgpt3/scripts/shutdown.sh
+++ /dev/null
@@ -1,16 +0,0 @@
-#!/bin/bash
-
-#关闭服务
-cd `dirname $0`/..
-export BASE_DIR=`pwd`
-pid=`ps ax | grep -i app.py | grep "${BASE_DIR}" | grep python3 | grep -v grep | awk '{print $1}'`
-if [ -z "$pid" ] ; then
-        echo "No chatgpt-on-wechat running."
-        exit -1;
-fi
-
-echo "The chatgpt-on-wechat(${pid}) is running..."
-
-kill ${pid}
-
-echo "Send shutdown request to chatgpt-on-wechat(${pid}) OK"
diff --git a/spaces/lewiswu1209/MockingBird/encoder/config.py b/spaces/lewiswu1209/MockingBird/encoder/config.py
deleted file mode 100644
index 1c21312f3de971bfa008254c6035cebc09f05e4c..0000000000000000000000000000000000000000
--- a/spaces/lewiswu1209/MockingBird/encoder/config.py
+++ /dev/null
@@ -1,45 +0,0 @@
-librispeech_datasets = {
-    "train": {
-        "clean": ["LibriSpeech/train-clean-100", "LibriSpeech/train-clean-360"],
-        "other": ["LibriSpeech/train-other-500"]
-    },
-    "test": {
-        "clean": ["LibriSpeech/test-clean"],
-        "other": ["LibriSpeech/test-other"]
-    },
-    "dev": {
-        "clean": ["LibriSpeech/dev-clean"],
-        "other": ["LibriSpeech/dev-other"]
-    },
-}
-libritts_datasets = {
-    "train": {
-        "clean": ["LibriTTS/train-clean-100", "LibriTTS/train-clean-360"],
-        "other": ["LibriTTS/train-other-500"]
-    },
-    "test": {
-        "clean": ["LibriTTS/test-clean"],
-        "other": ["LibriTTS/test-other"]
-    },
-    "dev": {
-        "clean": ["LibriTTS/dev-clean"],
-        "other": ["LibriTTS/dev-other"]
-    },
-}
-voxceleb_datasets = {
-    "voxceleb1" : {
-        "train": ["VoxCeleb1/wav"],
-        "test": ["VoxCeleb1/test_wav"]
-    },
-    "voxceleb2" : {
-        "train": ["VoxCeleb2/dev/aac"],
-        "test": ["VoxCeleb2/test_wav"]
-    }
-}
-
-other_datasets = [
-    "LJSpeech-1.1",
-    "VCTK-Corpus/wav48",
-]
-
-anglophone_nationalites = ["australia", "canada", "ireland", "uk", "usa"]
diff --git a/spaces/lincquiQcaudo/Top-20-Diffusion/5.1 Surround Sound Test The Helicopter.md b/spaces/lincquiQcaudo/Top-20-Diffusion/5.1 Surround Sound Test The Helicopter.md
deleted file mode 100644
index 0e91856be713369f8e639ceb436e07a0cfb03da5..0000000000000000000000000000000000000000
--- a/spaces/lincquiQcaudo/Top-20-Diffusion/5.1 Surround Sound Test The Helicopter.md	
+++ /dev/null
@@ -1,6 +0,0 @@
-<h2>5.1 Surround Sound Test The Helicopter</h2><br /><p><b><b>DOWNLOAD</b> >> <a href="https://bytlly.com/2uGx4W">https://bytlly.com/2uGx4W</a></b></p><br /><br />
-
-Read Online Sound For Digital. Video. 5.1 Surround Sound Test 'The. Helicopter' HD by Ashik Varma 3 years ago 1 minute, 57 seconds 8,642,015 views LIKE ... 1fdad05405<br />
-<br />
-<br />
-<p></p>
diff --git a/spaces/lincquiQcaudo/Top-20-Diffusion/Adobe Premiere Pro CC 7.2.1 Multilanguage [ChingLiu] Crack.md b/spaces/lincquiQcaudo/Top-20-Diffusion/Adobe Premiere Pro CC 7.2.1 Multilanguage [ChingLiu] Crack.md
deleted file mode 100644
index d7b71c29806408a89943046d7acad9b83dc82430..0000000000000000000000000000000000000000
--- a/spaces/lincquiQcaudo/Top-20-Diffusion/Adobe Premiere Pro CC 7.2.1 Multilanguage [ChingLiu] Crack.md	
+++ /dev/null
@@ -1,20 +0,0 @@
-<h2>Adobe Premiere Pro CC 7.2.1 Multilanguage [ChingLiu] crack</h2><br /><p><b><b>DOWNLOAD</b> >> <a href="https://bytlly.com/2uGy5E">https://bytlly.com/2uGy5E</a></b></p><br /><br />
-
-The interview below was conducted in the early 1990s, by then-Agent Rob Nemeth, now a professor at the University of Iowa. It covers a variety of topics, including issues of space and politics in the Indian Territories, including the Confederated Tribes of Warm Springs.
-
-Nemeth also discusses his years at the FBI, beginning as a foreign liaison in the Chicago office, then to the Washington field office, and later to the New York field office, where he served as the bureau's general counsel from 1982 to 1987. The question of whether he discusses the details of the FBI's Watergate scandal investigation isn't clear. [Source]
-
-The interview below was conducted in June 1993, by then-Director Louis Freeh, and, as such, touches on some of the events of the preceding two decades, including the persecution of the Nation of Islam, the attempted bombing of a Los Angeles airport, the Los Angeles Black Panther shoot-out, and FBI involvement in other political events.
-
-The following questions are posed to Agent Nemeth, who asks that they be repeated by Louis Freeh:
-
-What does the FBI do, in the context of federal law enforcement?
-
-Freeh: The FBI's mission is to protect the American people and the Constitution from domestic and foreign terrorists and to assist state and local police agencies. We coordinate with the Department of Defense and other federal agencies, as well as state and local police. We also work closely with the Immigration and Naturalization Service, the Internal Revenue Service and the Drug Enforcement Administration. It is important to keep in mind that the FBI is a very limited, narrowly focused agency. It does not conduct general criminal investigations, such as the Justice Department does. It focuses on investigations of specific, targeted threats. When we handle threats against a presidential candidate, for example, the FBI does so in conjunction with the Justice Department, which handles the criminal investigation.
-
-You attended the University of Chicago, then transferred to the University of North Carolina. Do you have any memories of the University of Chicago?
-
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diff --git a/spaces/lincquiQcaudo/Top-20-Diffusion/Behringer BCD 2000 Drivers For 64 Bit Windows 7 'LINK'.md b/spaces/lincquiQcaudo/Top-20-Diffusion/Behringer BCD 2000 Drivers For 64 Bit Windows 7 'LINK'.md
deleted file mode 100644
index 37557045372ca61ed3ff0f8f8f64fcc06775de48..0000000000000000000000000000000000000000
--- a/spaces/lincquiQcaudo/Top-20-Diffusion/Behringer BCD 2000 Drivers For 64 Bit Windows 7 'LINK'.md	
+++ /dev/null
@@ -1,115 +0,0 @@
-## Behringer BCD 2000 Drivers For 64 Bit Windows 7
-
-
-
- 
-
- ![Behringer BCD 2000 Drivers For 64 Bit Windows 7 'LINK'](https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcSCgZ8398z5ylBdb7gkUnRP3UXW4jfc-L64h_szfM-vk6euJ2SWZMfIVXg4)
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-
- 
-
- 
-
-# How to Install Behringer BCD 2000 Drivers for 64 Bit Windows 7
-
- 
-
-If you are a DJ who wants to use the Behringer BCD 2000 controller with your Windows 7 64-bit computer, you may have encountered some difficulties in installing the drivers. The BCD 2000 is a legacy product that was designed for Windows XP and does not have official drivers for Windows 7 64-bit. However, there are some workarounds that may help you get your device working on your system.
-
- 
-
-In this article, we will show you three methods to install Behringer BCD 2000 drivers for 64 bit Windows 7. You can try them one by one until you find the one that works for you.
-
-  
-
-## Method 1: Download Behringer BCD 2000 Drivers from the Official Website
-
- 
-
-The first method is to download the drivers from the Behringer website. Although they are not specifically made for Windows 7 64-bit, they may still work on some systems. Here are the steps to follow:
-
- 
-
-1. Go to the [Behringer BCD 2000 product page](https://www.behringer.com/product.html?modelCode=P0234) and click on "Software".
-
-2. Download the file "BCD2000-Setup-1-1-1-0.exe" and save it on your computer.
-
-3. Right-click on the file and select "Properties".
-
-4. Go to the "Compatibility" tab and check the box "Run this program in compatibility mode for".
-
-5. Select "Windows XP (Service Pack 3)" from the drop-down menu and click "OK".
-
-6. Double-click on the file and follow the on-screen instructions to install the drivers.
-
-7. Restart your computer and connect your BCD 2000 controller to a USB port.
-
-8. If Windows asks you to install new hardware, choose "Install automatically" and let it finish.
-
-9. You should now be able to use your BCD 2000 controller with your Windows 7 64-bit system.
-
-
-
-## Method 2: Update Behringer BCD 2000 Drivers via Device Manager
-
- 
-
-The second method is to update the drivers via Device Manager. This may help you fix any driver issues or conflicts that prevent your device from working properly. Here are the steps to follow:
-
-
-
-1. Press "Windows + R" keys to open the Run dialog box.
-
-2. Type "devmgmt.msc" and press "Enter" to open Device Manager.
-
-3. Expand the "Sound, video and game controllers" category and look for your BCD 2000 controller.
-
-4. If you see a yellow exclamation mark next to it, right-click on it and select "Update driver software".
-
-5. Choose "Search automatically for updated driver software" and wait for Windows to find and install the best driver for your device.
-
-6. If you don't see a yellow exclamation mark, right-click on your BCD 2000 controller and select "Uninstall".
-
-7. Check the box "Delete the driver software for this device" and click "OK".
-
-8. Disconnect your BCD 2000 controller from your computer and restart your system.
-
-9. Reconnect your BCD 2000 controller to a USB port and let Windows detect and install it again.
-
-10. You should now be able to use your BCD 2000 controller with your Windows 7 64-bit system.
-
-
-
-## Method 3: Download Behringer BCD 2000 Drivers with Bit Driver Updater (Recommended)
-
- 
-
-The third method is to download Behringer BCD 2000 drivers with Bit Driver Updater. This is a powerful and reliable tool that can scan your system for outdated, missing or corrupted drivers and update them automatically with one click. It can also backup and restore your drivers, improve your system performance and stability, and fix various driver-related issues. Here are the steps to follow:
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-1. Download and install Bit Driver Updater from [here 145887f19f
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-
-
-
-
-
-
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-](https://www.bitdriverupdater.com/)
\ No newline at end of file
diff --git a/spaces/lincquiQcaudo/Top-20-Diffusion/Cambridge English Grammar In Use 3rd Edition Cd Rom Rar REPACK.md b/spaces/lincquiQcaudo/Top-20-Diffusion/Cambridge English Grammar In Use 3rd Edition Cd Rom Rar REPACK.md
deleted file mode 100644
index 0eaede13647e57d497019cc2c7544862f153649e..0000000000000000000000000000000000000000
--- a/spaces/lincquiQcaudo/Top-20-Diffusion/Cambridge English Grammar In Use 3rd Edition Cd Rom Rar REPACK.md	
+++ /dev/null
@@ -1,6 +0,0 @@
-<h2>cambridge english grammar in use 3rd edition cd rom rar</h2><br /><p><b><b>Download</b> &#10031; <a href="https://bytlly.com/2uGw2B">https://bytlly.com/2uGw2B</a></b></p><br /><br />
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diff --git a/spaces/lincquiQcaudo/Top-20-Diffusion/HD Online Player (Nanu Ki Jaanu Movie Full Download In) Extra Quality.md b/spaces/lincquiQcaudo/Top-20-Diffusion/HD Online Player (Nanu Ki Jaanu Movie Full Download In) Extra Quality.md
deleted file mode 100644
index d207aed11e5ede38e9e456233a1487844bd1e59d..0000000000000000000000000000000000000000
--- a/spaces/lincquiQcaudo/Top-20-Diffusion/HD Online Player (Nanu Ki Jaanu Movie Full Download In) Extra Quality.md	
+++ /dev/null
@@ -1,84 +0,0 @@
-<br />
-<h1>HD Online Player (Nanu Ki Jaanu Movie Full Download In)</h1>
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-<p>Nanu Ki Jaanu is a 2018 Indian Hindi language horror comedy film that stars Abhay Deol and Patralekhaa in the lead roles. The film is directed by Faraz Haider and written by Manu Rishi. The film is about Nanu, a land mafia who illegally grabs people's property with the help of his friends. His life changes when he takes an injured girl to the hospital and starts experiencing some paranormal activities in his flat. He soon realizes that he is not the only one living in his flat. There is an uninvited guest also, who is none other than the ghost of the girl he saved.</p>
-<p>The film is a remake of the 2014 Tamil film Pisaasu, which was directed by Mysskin. The film received mixed reviews from critics and audiences alike. Some praised the film for its humor and performances, while others criticized it for its weak plot and direction. The film was a moderate success at the box office, earning around Rs. 4 crore on a budget of Rs. 15 crore.</p>
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-<h2>Conclusion</h2>
-<p>Nanu Ki Jaanu is a horror comedy movie that will make you laugh and scream at the same time. It stars Abhay Deol and Patralekhaa in the lead roles, and is directed by Faraz Haider and written by Manu Rishi. The film is about Nanu, a land mafia who illegally grabs people's property with the help of his friends. His life changes when he takes an injured girl to the hospital and starts experiencing some paranormal activities in his flat. He soon realizes that he is not the only one living in his flat. There is an uninvited guest also, who is none other than the ghost of the girl he saved.</p>
-<p>If you want to watch Nanu Ki Jaanu movie online, you can use HD online player to watch it for free and in HD quality. HD online player is a website that allows you to stream or download any movie or TV show in HD quality without any ads or interruptions. You can access HD online player from any device, such as PC, laptop, tablet, or smartphone. You can also choose from different servers and mirrors to get the best speed and quality.</p>
-<p>So what are you waiting for? Use HD online player (Nanu Ki Jaanu movie full download in) now and enjoy this hilarious horror comedy movie!</p>
-<h2>Who are the Cast and Crew of Nanu Ki Jaanu Movie?</h2>
-<p>Nanu Ki Jaanu movie features a talented cast and crew who have worked hard to make this film a success. Here are some of them:</p>
-<ul>
-<li>Abhay Deol as Nanu: Abhay Deol is a popular actor who has appeared in many films, such as Dev.D, Zindagi Na Milegi Dobara, Oye Lucky! Lucky Oye!, and Happy Bhag Jayegi. He plays the role of Nanu, a land mafia who illegally grabs people's property with the help of his friends.</li>
-<li>Patralekhaa as Siddhi: Patralekhaa is an actress who made her debut with the film CityLights, opposite Rajkummar Rao. She plays the role of Siddhi, a girl who dies in an accident and becomes a ghost who haunts Nanu's flat.</li>
-<li>Brijendra Kala as Kumar: Brijendra Kala is a veteran actor who has appeared in many films, such as Paan Singh Tomar, PK, Jolly LLB, and Bala. He plays the role of Kumar, Nanu's friend and partner in crime.</li>
-<li>Rajesh Sharma as Dabbu: Rajesh Sharma is an actor who has appeared in many films, such as Khosla Ka Ghosla, No One Killed Jessica, Special 26, and M.S. Dhoni: The Untold Story. He plays the role of Dabbu, Nanu's boss and mentor.</li>
-<li>Manoj Pahwa as Siddhi's father: Manoj Pahwa is an actor who has appeared in many films, such as Jolly LLB 2, Mulk, Article 15, and Bala. He plays the role of Siddhi's father, who is devastated by her death.</li>
-</ul>
-<p>The film is directed by Faraz Haider, who has previously directed War Chhod Na Yaar and Tere Bin Laden: Dead or Alive. The film is written by Manu Rishi, who has also written films like Oye Lucky! Lucky Oye!, Phas Gaye Re Obama, and Happy Phirr Bhag Jayegi. The film is co-produced by PVR Pictures and Sajid Qureshi under the production banners of Inbox Pictures.</p>
-<h2>What are the Songs of Nanu Ki Jaanu Movie?</h2>
-<p>Nanu Ki Jaanu movie also features a catchy and melodious soundtrack that adds to the charm of the film. The soundtrack consists of four songs that are composed by various artists, such as Meet Bros, Babli Haque, Gunwant Sen, and Sajid-Wajid. The lyrics are written by various artists, such as Kumaar, Abid Ali, Sachin Gupta, and Danish Sabri. The songs are sung by various artists, such as Mika Singh, Javed Ali, Mohd Irfan, Gunwant Sen, Khushboo Jain, Harshdeep Kaur, Navraj Hans, and Fazilpuria.</p>
-<p>The songs are as follows:</p>
-<ol>
-<li>Tere Thumke Sapna Choudhary: This is a peppy and upbeat song that features Sapna Choudhary's dance moves. The song is composed by Gunwant Sen and sung by Gunwant Sen, Khushboo Jain, and Saumya Upadhyay.</li>
-<li>Bhoot Aaya: This is a spooky and funny song that depicts Nanu's encounter with Siddhi's ghost. The song is composed by Meet Bros and sung by Mika Singh.</li>
-<li>Tujhe Dekhti Hai Nazar: This is a romantic and soulful song that expresses Nanu's feelings for Siddhi. The song is composed by Babli Haque and sung by Mohd Irfan.</li>
-<li>Kali Choti: This is a quirky and catchy song that features Nanu's friends and their antics. The song is composed by Sajid-Wajid and sung by Navraj Hans and Fazilpuria.</li>
-</ol>
-<p>You can listen to these songs online or download them from various platforms, such as YouTube, Gaana, JioSaavn, Spotify, etc.</p>
-<h2>What are the Trivia of Nanu Ki Jaanu Movie?</h2>
-<p>Nanu Ki Jaanu movie also has some interesting trivia that you may not know. Here are some of them:</p>
-<ul>
-<li>The film is a remake of the 2014 Tamil film Pisaasu, which was directed by Mysskin and starred Naga and Prayaga Martin in the lead roles.</li>
-<li>The film marks the second collaboration between Abhay Deol and Manu Rishi, who have previously worked together in Oye Lucky! Lucky Oye! (2008).</li>
-<li>The film also marks the second collaboration between Patralekhaa and Rajkummar Rao, who have previously worked together in CityLights (2014). However, they do not share any screen space in this film.</li>
-<li>The film features a cameo appearance by Sapna Choudhary, a popular Haryanvi dancer and singer, who performs on the song Tere Thumke Sapna Choudhary.</li>
-<li>The film was shot in various locations in Delhi and Noida, such as Connaught Place, Noida Sector 18, Noida Sector 62, etc.</li>
-</ul>
-<h2>How to Download Nanu Ki Jaanu Movie Subtitles?</h2>
-<p>If you want to watch Nanu Ki Jaanu movie with subtitles, you can do so by downloading them from various websites, such as Subscene, OpenSubtitles, YIFY Subtitles, etc. You can choose from different languages and formats according to your preference. You can also sync the subtitles with the video file using various software, such as VLC Media Player, KMPlayer, etc.</p>
-<p>If you want to download Nanu Ki Jaanu movie subtitles for free and in HD quality, you can do so by following these simple steps:</p>
-<ol>
-<li>Click on the link below and open HD online player website.</li>
-<li>Search for Nanu Ki Jaanu movie in the search box or browse through the categories.</li>
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-</ol>
-<p>Note: You can also download the subtitles by clicking on the download button below the CC button. You can choose from different formats and sizes according to your preference.</p>
-<h2>Conclusion</h2>
-<p>Nanu Ki Jaanu is a horror comedy movie that will make you laugh and scream at the same time. It stars Abhay Deol and Patralekhaa in the lead roles, and is directed by Faraz Haider and written by Manu Rishi. The film is about Nanu, a land mafia who illegally grabs people's property with the help of his friends. His life changes when he takes an injured girl to the hospital and starts experiencing some paranormal activities in his flat. He soon realizes that he is not the only one living in his flat. There is an uninvited guest also, who is none other than the ghost of the girl he saved.</p>
-<p>If you want to watch Nanu Ki Jaanu movie online, you can use HD online player to watch it for free and in HD quality. HD online player is a website that allows you to stream or download any movie or TV show in HD quality without any ads or interruptions. You can access HD online player from any device, such as PC, laptop, tablet, or smartphone. You can also choose from different servers and mirrors to get the best speed and quality.</p>
-<p>You can also enjoy the movie with subtitles, soundtrack, and trivia that add to the charm of the film. You can download them from various websites or platforms, or use HD online player to access them easily.</p>
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\ No newline at end of file
diff --git a/spaces/lincquiQcaudo/Top-20-Diffusion/Hostel Tamil Dubbed Download !!EXCLUSIVE!!.md b/spaces/lincquiQcaudo/Top-20-Diffusion/Hostel Tamil Dubbed Download !!EXCLUSIVE!!.md
deleted file mode 100644
index 62c82d2de0770c27e868d2cf6a24d386e62ebece..0000000000000000000000000000000000000000
--- a/spaces/lincquiQcaudo/Top-20-Diffusion/Hostel Tamil Dubbed Download !!EXCLUSIVE!!.md	
+++ /dev/null
@@ -1,14 +0,0 @@
-<h2>Hostel tamil dubbed download</h2><br /><p><b><b>Download File</b> &#9193; <a href="https://bytlly.com/2uGvUZ">https://bytlly.com/2uGvUZ</a></b></p><br /><br />
-<br />
-The film was released on 4 August 2018. It is a remake of the Malayalam film Kathapurushan (2014)..The film is the sixth Malayalam Remake by HN Shijoy.
-
-Plot
-
-The film begins with Karthik (Anju Raj), a young MBA student, returning home with his  apartment keys. As he enters his home, he sees a middle-aged man, with black hair, entering his house. On being asked by Karthik, the man lies that he was visiting someone, even though he had his cellphone with him, as he could not find the phone. Karthik also observes that the man is wearing a medical school's jersey, despite his age. When Karthik and his sister, Devika (Aparna Nair) ask about him, he claims that he is a bachelor, an orphan, who has not eaten anything and is attending an all-night medical school lecture. He has since been staying there, ever since the previous day.
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-
-Karthik is informed of his death on his cellphone, where he finds a photo of Prashanth, with his phone. He finds out that he received a call at 9:42 pm, to his cellphone, where he got to know about his death. Karthik's father-in-law, Satish (Sudheer Karamana), a famous doctor, and Devika's father, Jayesh (Anwar Sadath) were aware of the medical students, but had not informed the police. As Karthik reveals the information to the police, they apprehend the identity of the call, to be Jayesh 4fefd39f24<br />
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diff --git a/spaces/loknitesh/MYGENAI/README.md b/spaces/loknitesh/MYGENAI/README.md
deleted file mode 100644
index d726adc05cc0752d2fe35a4b96fce1d379f5b6d4..0000000000000000000000000000000000000000
--- a/spaces/loknitesh/MYGENAI/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: MYGENAI
-emoji: 🏃
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: 3.39.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/ma-xu/LIVE/thrust/thrust/system/cpp/pointer.h b/spaces/ma-xu/LIVE/thrust/thrust/system/cpp/pointer.h
deleted file mode 100644
index 8efeb33c46d2f5034586ac31cdacc8145eed6246..0000000000000000000000000000000000000000
--- a/spaces/ma-xu/LIVE/thrust/thrust/system/cpp/pointer.h
+++ /dev/null
@@ -1,351 +0,0 @@
-/*
- *  Copyright 2008-2018 NVIDIA Corporation
- *
- *  Licensed under the Apache License, Version 2.0 (the "License");
- *  you may not use this file except in compliance with the License.
- *  You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- *  Unless required by applicable law or agreed to in writing, software
- *  distributed under the License is distributed on an "AS IS" BASIS,
- *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- *  See the License for the specific language governing permissions and
- *  limitations under the License.
- */
-
-#pragma once
-
-#include <thrust/detail/config.h>
-#include <thrust/system/cpp/detail/execution_policy.h>
-#include <thrust/detail/type_traits.h>
-#include <thrust/detail/pointer.h>
-#include <thrust/detail/reference.h>
-
-namespace thrust
-{
-namespace system
-{
-namespace cpp
-{
-
-template<typename> class pointer;
-
-} // end cpp
-} // end system
-} // end thrust
-
-
-/*! \cond
- */
-
-// specialize thrust::iterator_traits to avoid problems with the name of
-// pointer's constructor shadowing its nested pointer type
-// do this before pointer is defined so the specialization is correctly
-// used inside the definition
-namespace thrust
-{
-
-template<typename Element>
-  struct iterator_traits<thrust::system::cpp::pointer<Element> >
-{
-  private:
-    typedef thrust::system::cpp::pointer<Element> ptr;
-
-  public:
-    typedef typename ptr::iterator_category       iterator_category;
-    typedef typename ptr::value_type              value_type;
-    typedef typename ptr::difference_type         difference_type;
-    typedef ptr                                   pointer;
-    typedef typename ptr::reference               reference;
-}; // end iterator_traits
-
-} // end thrust
-
-/*! \endcond
- */
-
-
-namespace thrust
-{
-namespace system
-{
-
-/*! \addtogroup system_backends Systems
- *  \ingroup system
- *  \{
- */
-
-/*! \namespace thrust::system::cpp
- *  \brief \p thrust::system::cpp is the namespace containing functionality for allocating, manipulating,
- *         and deallocating memory available to Thrust's standard C++ backend system.
- *         The identifiers are provided in a separate namespace underneath <tt>thrust::system</tt>
- *         for import convenience but are also aliased in the top-level <tt>thrust::cpp</tt>
- *         namespace for easy access.
- *
- */
-namespace cpp
-{
-
-// forward declaration of reference for pointer
-template<typename Element> class reference;
-
-/*! \cond
- */
-
-// XXX nvcc + msvc have trouble instantiating reference below
-//     this is a workaround
-namespace detail
-{
-
-template<typename Element>
-  struct reference_msvc_workaround
-{
-  typedef thrust::system::cpp::reference<Element> type;
-}; // end reference_msvc_workaround
-
-} // end detail
-
-/*! \endcond
- */
-
-
-/*! \p pointer stores a pointer to an object allocated in memory available to the cpp system.
- *  This type provides type safety when dispatching standard algorithms on ranges resident
- *  in cpp memory.
- *
- *  \p pointer has pointer semantics: it may be dereferenced and manipulated with pointer arithmetic.
- *
- *  \p pointer can be created with the function \p cpp::malloc, or by explicitly calling its constructor
- *  with a raw pointer.
- *
- *  The raw pointer encapsulated by a \p pointer may be obtained by eiter its <tt>get</tt> member function
- *  or the \p raw_pointer_cast function.
- *
- *  \note \p pointer is not a "smart" pointer; it is the programmer's responsibility to deallocate memory
- *  pointed to by \p pointer.
- *
- *  \tparam T specifies the type of the pointee.
- *
- *  \see cpp::malloc
- *  \see cpp::free
- *  \see raw_pointer_cast
- */
-template<typename T>
-  class pointer
-    : public thrust::pointer<
-               T,
-               thrust::system::cpp::tag,
-               thrust::system::cpp::reference<T>,
-               thrust::system::cpp::pointer<T>
-             >
-{
-  /*! \cond
-   */
-
-  private:
-    typedef thrust::pointer<
-      T,
-      thrust::system::cpp::tag,
-      //thrust::system::cpp::reference<T>,
-      typename detail::reference_msvc_workaround<T>::type,
-      thrust::system::cpp::pointer<T>
-    > super_t;
-
-  /*! \endcond
-   */
-
-  public:
-    // note that cpp::pointer's member functions need __host__ __device__
-    // to interoperate with nvcc + iterators' dereference member function
-
-    /*! \p pointer's no-argument constructor initializes its encapsulated pointer to \c 0.
-     */
-    __host__ __device__
-    pointer() : super_t() {}
-
-    #if THRUST_CPP_DIALECT >= 2011
-    // NOTE: This is needed so that Thrust smart pointers can be used in
-    // `std::unique_ptr`.
-    __host__ __device__
-    pointer(decltype(nullptr)) : super_t(nullptr) {}
-    #endif
-
-    /*! This constructor allows construction of a <tt>pointer<const T></tt> from a <tt>T*</tt>.
-     *
-     *  \param ptr A raw pointer to copy from, presumed to point to a location in memory
-     *         accessible by the \p cpp system.
-     *  \tparam OtherT \p OtherT shall be convertible to \p T.
-     */
-    template<typename OtherT>
-    __host__ __device__
-    explicit pointer(OtherT *ptr) : super_t(ptr) {}
-
-    /*! This constructor allows construction from another pointer-like object with related type.
-     *
-     *  \param other The \p OtherPointer to copy.
-     *  \tparam OtherPointer The system tag associated with \p OtherPointer shall be convertible
-     *          to \p thrust::system::cpp::tag and its element type shall be convertible to \p T.
-     */
-    template<typename OtherPointer>
-    __host__ __device__
-    pointer(const OtherPointer &other,
-            typename thrust::detail::enable_if_pointer_is_convertible<
-              OtherPointer,
-              pointer
-            >::type * = 0) : super_t(other) {}
-
-    /*! This constructor allows construction from another pointer-like object with \p void type.
-     *
-     *  \param other The \p OtherPointer to copy.
-     *  \tparam OtherPointer The system tag associated with \p OtherPointer shall be convertible
-     *          to \p thrust::system::cpp::tag and its element type shall be \p void.
-     */
-    template<typename OtherPointer>
-    __host__ __device__
-    explicit
-    pointer(const OtherPointer &other,
-            typename thrust::detail::enable_if_void_pointer_is_system_convertible<
-              OtherPointer,
-              pointer
-            >::type * = 0) : super_t(other) {}
-
-    /*! Assignment operator allows assigning from another pointer-like object with related type.
-     *
-     *  \param other The other pointer-like object to assign from.
-     *  \tparam OtherPointer The system tag associated with \p OtherPointer shall be convertible
-     *          to \p thrust::system::cpp::tag and its element type shall be convertible to \p T.
-     */
-    template<typename OtherPointer>
-    __host__ __device__
-    typename thrust::detail::enable_if_pointer_is_convertible<
-      OtherPointer,
-      pointer,
-      pointer &
-    >::type
-    operator=(const OtherPointer &other)
-    {
-      return super_t::operator=(other);
-    }
-
-    #if THRUST_CPP_DIALECT >= 2011
-    // NOTE: This is needed so that Thrust smart pointers can be used in
-    // `std::unique_ptr`.
-    __host__ __device__
-    pointer& operator=(decltype(nullptr))
-    {
-      super_t::operator=(nullptr);
-      return *this;
-    }
-    #endif
-}; // end pointer
-
-/*! \p reference is a wrapped reference to an object stored in memory available to the \p cpp system.
- *  \p reference is the type of the result of dereferencing a \p cpp::pointer.
- *
- *  \tparam T Specifies the type of the referenced object.
- */
-template<typename T>
-  class reference
-    : public thrust::reference<
-               T,
-               thrust::system::cpp::pointer<T>,
-               thrust::system::cpp::reference<T>
-             >
-{
-  /*! \cond
-   */
-
-  private:
-    typedef thrust::reference<
-      T,
-      thrust::system::cpp::pointer<T>,
-      thrust::system::cpp::reference<T>
-    > super_t;
-
-  /*! \endcond
-   */
-
-  public:
-    /*! \cond
-     */
-
-    typedef typename super_t::value_type value_type;
-    typedef typename super_t::pointer    pointer;
-
-    /*! \endcond
-     */
-
-    /*! This constructor initializes this \p reference to refer to an object
-     *  pointed to by the given \p pointer. After this \p reference is constructed,
-     *  it shall refer to the object pointed to by \p ptr.
-     *
-     *  \param ptr A \p pointer to copy from.
-     */
-    __host__ __device__
-    explicit reference(const pointer &ptr)
-      : super_t(ptr)
-    {}
-
-    /*! This constructor accepts a const reference to another \p reference of related type.
-     *  After this \p reference is constructed, it shall refer to the same object as \p other.
-     *
-     *  \param other A \p reference to copy from.
-     *  \tparam OtherT The element type of the other \p reference.
-     *
-     *  \note This constructor is templated primarily to allow initialization of <tt>reference<const T></tt>
-     *        from <tt>reference<T></tt>.
-     */
-    template<typename OtherT>
-    __host__ __device__
-    reference(const reference<OtherT> &other,
-              typename thrust::detail::enable_if_convertible<
-                typename reference<OtherT>::pointer,
-                pointer
-              >::type * = 0)
-      : super_t(other)
-    {}
-
-    /*! Copy assignment operator copy assigns from another \p reference of related type.
-     *
-     *  \param other The other \p reference to assign from.
-     *  \return <tt>*this</tt>
-     *  \tparam OtherT The element type of the other \p reference.
-     */
-    template<typename OtherT>
-    reference &operator=(const reference<OtherT> &other);
-
-    /*! Assignment operator assigns from a \p value_type.
-     *
-     *  \param x The \p value_type to assign from.
-     *  \return <tt>*this</tt>
-     */
-    reference &operator=(const value_type &x);
-}; // end reference
-
-/*! Exchanges the values of two objects referred to by \p reference.
- *  \p x The first \p reference of interest.
- *  \p y The second \p reference of interest.
- */
-template<typename T>
-__host__ __device__
-void swap(reference<T> x, reference<T> y);
-
-} // end cpp
-
-/*! \}
- */
-
-} // end system
-
-namespace cpp
-{
-
-using thrust::system::cpp::pointer;
-using thrust::system::cpp::reference;
-
-} // end cpp
-
-} // end thrust
-
-#include <thrust/system/cpp/detail/pointer.inl>
diff --git a/spaces/marioboy/neil-breen/synthesizer/models/tacotron.py b/spaces/marioboy/neil-breen/synthesizer/models/tacotron.py
deleted file mode 100644
index 769f7f98b79100ff587af3609010dd55e3b2a146..0000000000000000000000000000000000000000
--- a/spaces/marioboy/neil-breen/synthesizer/models/tacotron.py
+++ /dev/null
@@ -1,519 +0,0 @@
-import os
-import numpy as np
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-from pathlib import Path
-from typing import Union
-
-
-class HighwayNetwork(nn.Module):
-    def __init__(self, size):
-        super().__init__()
-        self.W1 = nn.Linear(size, size)
-        self.W2 = nn.Linear(size, size)
-        self.W1.bias.data.fill_(0.)
-
-    def forward(self, x):
-        x1 = self.W1(x)
-        x2 = self.W2(x)
-        g = torch.sigmoid(x2)
-        y = g * F.relu(x1) + (1. - g) * x
-        return y
-
-
-class Encoder(nn.Module):
-    def __init__(self, embed_dims, num_chars, encoder_dims, K, num_highways, dropout):
-        super().__init__()
-        prenet_dims = (encoder_dims, encoder_dims)
-        cbhg_channels = encoder_dims
-        self.embedding = nn.Embedding(num_chars, embed_dims)
-        self.pre_net = PreNet(embed_dims, fc1_dims=prenet_dims[0], fc2_dims=prenet_dims[1],
-                              dropout=dropout)
-        self.cbhg = CBHG(K=K, in_channels=cbhg_channels, channels=cbhg_channels,
-                         proj_channels=[cbhg_channels, cbhg_channels],
-                         num_highways=num_highways)
-
-    def forward(self, x, speaker_embedding=None):
-        x = self.embedding(x)
-        x = self.pre_net(x)
-        x.transpose_(1, 2)
-        x = self.cbhg(x)
-        if speaker_embedding is not None:
-            x = self.add_speaker_embedding(x, speaker_embedding)
-        return x
-
-    def add_speaker_embedding(self, x, speaker_embedding):
-        # SV2TTS
-        # The input x is the encoder output and is a 3D tensor with size (batch_size, num_chars, tts_embed_dims)
-        # When training, speaker_embedding is also a 2D tensor with size (batch_size, speaker_embedding_size)
-        #     (for inference, speaker_embedding is a 1D tensor with size (speaker_embedding_size))
-        # This concats the speaker embedding for each char in the encoder output
-
-        # Save the dimensions as human-readable names
-        batch_size = x.size()[0]
-        num_chars = x.size()[1]
-
-        if speaker_embedding.dim() == 1:
-            idx = 0
-        else:
-            idx = 1
-
-        # Start by making a copy of each speaker embedding to match the input text length
-        # The output of this has size (batch_size, num_chars * tts_embed_dims)
-        speaker_embedding_size = speaker_embedding.size()[idx]
-        e = speaker_embedding.repeat_interleave(num_chars, dim=idx)
-
-        # Reshape it and transpose
-        e = e.reshape(batch_size, speaker_embedding_size, num_chars)
-        e = e.transpose(1, 2)
-
-        # Concatenate the tiled speaker embedding with the encoder output
-        x = torch.cat((x, e), 2)
-        return x
-
-
-class BatchNormConv(nn.Module):
-    def __init__(self, in_channels, out_channels, kernel, relu=True):
-        super().__init__()
-        self.conv = nn.Conv1d(in_channels, out_channels, kernel, stride=1, padding=kernel // 2, bias=False)
-        self.bnorm = nn.BatchNorm1d(out_channels)
-        self.relu = relu
-
-    def forward(self, x):
-        x = self.conv(x)
-        x = F.relu(x) if self.relu is True else x
-        return self.bnorm(x)
-
-
-class CBHG(nn.Module):
-    def __init__(self, K, in_channels, channels, proj_channels, num_highways):
-        super().__init__()
-
-        # List of all rnns to call `flatten_parameters()` on
-        self._to_flatten = []
-
-        self.bank_kernels = [i for i in range(1, K + 1)]
-        self.conv1d_bank = nn.ModuleList()
-        for k in self.bank_kernels:
-            conv = BatchNormConv(in_channels, channels, k)
-            self.conv1d_bank.append(conv)
-
-        self.maxpool = nn.MaxPool1d(kernel_size=2, stride=1, padding=1)
-
-        self.conv_project1 = BatchNormConv(len(self.bank_kernels) * channels, proj_channels[0], 3)
-        self.conv_project2 = BatchNormConv(proj_channels[0], proj_channels[1], 3, relu=False)
-
-        # Fix the highway input if necessary
-        if proj_channels[-1] != channels:
-            self.highway_mismatch = True
-            self.pre_highway = nn.Linear(proj_channels[-1], channels, bias=False)
-        else:
-            self.highway_mismatch = False
-
-        self.highways = nn.ModuleList()
-        for i in range(num_highways):
-            hn = HighwayNetwork(channels)
-            self.highways.append(hn)
-
-        self.rnn = nn.GRU(channels, channels // 2, batch_first=True, bidirectional=True)
-        self._to_flatten.append(self.rnn)
-
-        # Avoid fragmentation of RNN parameters and associated warning
-        self._flatten_parameters()
-
-    def forward(self, x):
-        # Although we `_flatten_parameters()` on init, when using DataParallel
-        # the model gets replicated, making it no longer guaranteed that the
-        # weights are contiguous in GPU memory. Hence, we must call it again
-        self._flatten_parameters()
-
-        # Save these for later
-        residual = x
-        seq_len = x.size(-1)
-        conv_bank = []
-
-        # Convolution Bank
-        for conv in self.conv1d_bank:
-            c = conv(x) # Convolution
-            conv_bank.append(c[:, :, :seq_len])
-
-        # Stack along the channel axis
-        conv_bank = torch.cat(conv_bank, dim=1)
-
-        # dump the last padding to fit residual
-        x = self.maxpool(conv_bank)[:, :, :seq_len]
-
-        # Conv1d projections
-        x = self.conv_project1(x)
-        x = self.conv_project2(x)
-
-        # Residual Connect
-        x = x + residual
-
-        # Through the highways
-        x = x.transpose(1, 2)
-        if self.highway_mismatch is True:
-            x = self.pre_highway(x)
-        for h in self.highways: x = h(x)
-
-        # And then the RNN
-        x, _ = self.rnn(x)
-        return x
-
-    def _flatten_parameters(self):
-        """Calls `flatten_parameters` on all the rnns used by the WaveRNN. Used
-        to improve efficiency and avoid PyTorch yelling at us."""
-        [m.flatten_parameters() for m in self._to_flatten]
-
-class PreNet(nn.Module):
-    def __init__(self, in_dims, fc1_dims=256, fc2_dims=128, dropout=0.5):
-        super().__init__()
-        self.fc1 = nn.Linear(in_dims, fc1_dims)
-        self.fc2 = nn.Linear(fc1_dims, fc2_dims)
-        self.p = dropout
-
-    def forward(self, x):
-        x = self.fc1(x)
-        x = F.relu(x)
-        x = F.dropout(x, self.p, training=True)
-        x = self.fc2(x)
-        x = F.relu(x)
-        x = F.dropout(x, self.p, training=True)
-        return x
-
-
-class Attention(nn.Module):
-    def __init__(self, attn_dims):
-        super().__init__()
-        self.W = nn.Linear(attn_dims, attn_dims, bias=False)
-        self.v = nn.Linear(attn_dims, 1, bias=False)
-
-    def forward(self, encoder_seq_proj, query, t):
-
-        # print(encoder_seq_proj.shape)
-        # Transform the query vector
-        query_proj = self.W(query).unsqueeze(1)
-
-        # Compute the scores
-        u = self.v(torch.tanh(encoder_seq_proj + query_proj))
-        scores = F.softmax(u, dim=1)
-
-        return scores.transpose(1, 2)
-
-
-class LSA(nn.Module):
-    def __init__(self, attn_dim, kernel_size=31, filters=32):
-        super().__init__()
-        self.conv = nn.Conv1d(1, filters, padding=(kernel_size - 1) // 2, kernel_size=kernel_size, bias=True)
-        self.L = nn.Linear(filters, attn_dim, bias=False)
-        self.W = nn.Linear(attn_dim, attn_dim, bias=True) # Include the attention bias in this term
-        self.v = nn.Linear(attn_dim, 1, bias=False)
-        self.cumulative = None
-        self.attention = None
-
-    def init_attention(self, encoder_seq_proj):
-        device = next(self.parameters()).device  # use same device as parameters
-        b, t, c = encoder_seq_proj.size()
-        self.cumulative = torch.zeros(b, t, device=device)
-        self.attention = torch.zeros(b, t, device=device)
-
-    def forward(self, encoder_seq_proj, query, t, chars):
-
-        if t == 0: self.init_attention(encoder_seq_proj)
-
-        processed_query = self.W(query).unsqueeze(1)
-
-        location = self.cumulative.unsqueeze(1)
-        processed_loc = self.L(self.conv(location).transpose(1, 2))
-
-        u = self.v(torch.tanh(processed_query + encoder_seq_proj + processed_loc))
-        u = u.squeeze(-1)
-
-        # Mask zero padding chars
-        u = u * (chars != 0).float()
-
-        # Smooth Attention
-        # scores = torch.sigmoid(u) / torch.sigmoid(u).sum(dim=1, keepdim=True)
-        scores = F.softmax(u, dim=1)
-        self.attention = scores
-        self.cumulative = self.cumulative + self.attention
-
-        return scores.unsqueeze(-1).transpose(1, 2)
-
-
-class Decoder(nn.Module):
-    # Class variable because its value doesn't change between classes
-    # yet ought to be scoped by class because its a property of a Decoder
-    max_r = 20
-    def __init__(self, n_mels, encoder_dims, decoder_dims, lstm_dims,
-                 dropout, speaker_embedding_size):
-        super().__init__()
-        self.register_buffer("r", torch.tensor(1, dtype=torch.int))
-        self.n_mels = n_mels
-        prenet_dims = (decoder_dims * 2, decoder_dims * 2)
-        self.prenet = PreNet(n_mels, fc1_dims=prenet_dims[0], fc2_dims=prenet_dims[1],
-                             dropout=dropout)
-        self.attn_net = LSA(decoder_dims)
-        self.attn_rnn = nn.GRUCell(encoder_dims + prenet_dims[1] + speaker_embedding_size, decoder_dims)
-        self.rnn_input = nn.Linear(encoder_dims + decoder_dims + speaker_embedding_size, lstm_dims)
-        self.res_rnn1 = nn.LSTMCell(lstm_dims, lstm_dims)
-        self.res_rnn2 = nn.LSTMCell(lstm_dims, lstm_dims)
-        self.mel_proj = nn.Linear(lstm_dims, n_mels * self.max_r, bias=False)
-        self.stop_proj = nn.Linear(encoder_dims + speaker_embedding_size + lstm_dims, 1)
-
-    def zoneout(self, prev, current, p=0.1):
-        device = next(self.parameters()).device  # Use same device as parameters
-        mask = torch.zeros(prev.size(), device=device).bernoulli_(p)
-        return prev * mask + current * (1 - mask)
-
-    def forward(self, encoder_seq, encoder_seq_proj, prenet_in,
-                hidden_states, cell_states, context_vec, t, chars):
-
-        # Need this for reshaping mels
-        batch_size = encoder_seq.size(0)
-
-        # Unpack the hidden and cell states
-        attn_hidden, rnn1_hidden, rnn2_hidden = hidden_states
-        rnn1_cell, rnn2_cell = cell_states
-
-        # PreNet for the Attention RNN
-        prenet_out = self.prenet(prenet_in)
-
-        # Compute the Attention RNN hidden state
-        attn_rnn_in = torch.cat([context_vec, prenet_out], dim=-1)
-        attn_hidden = self.attn_rnn(attn_rnn_in.squeeze(1), attn_hidden)
-
-        # Compute the attention scores
-        scores = self.attn_net(encoder_seq_proj, attn_hidden, t, chars)
-
-        # Dot product to create the context vector
-        context_vec = scores @ encoder_seq
-        context_vec = context_vec.squeeze(1)
-
-        # Concat Attention RNN output w. Context Vector & project
-        x = torch.cat([context_vec, attn_hidden], dim=1)
-        x = self.rnn_input(x)
-
-        # Compute first Residual RNN
-        rnn1_hidden_next, rnn1_cell = self.res_rnn1(x, (rnn1_hidden, rnn1_cell))
-        if self.training:
-            rnn1_hidden = self.zoneout(rnn1_hidden, rnn1_hidden_next)
-        else:
-            rnn1_hidden = rnn1_hidden_next
-        x = x + rnn1_hidden
-
-        # Compute second Residual RNN
-        rnn2_hidden_next, rnn2_cell = self.res_rnn2(x, (rnn2_hidden, rnn2_cell))
-        if self.training:
-            rnn2_hidden = self.zoneout(rnn2_hidden, rnn2_hidden_next)
-        else:
-            rnn2_hidden = rnn2_hidden_next
-        x = x + rnn2_hidden
-
-        # Project Mels
-        mels = self.mel_proj(x)
-        mels = mels.view(batch_size, self.n_mels, self.max_r)[:, :, :self.r]
-        hidden_states = (attn_hidden, rnn1_hidden, rnn2_hidden)
-        cell_states = (rnn1_cell, rnn2_cell)
-
-        # Stop token prediction
-        s = torch.cat((x, context_vec), dim=1)
-        s = self.stop_proj(s)
-        stop_tokens = torch.sigmoid(s)
-
-        return mels, scores, hidden_states, cell_states, context_vec, stop_tokens
-
-
-class Tacotron(nn.Module):
-    def __init__(self, embed_dims, num_chars, encoder_dims, decoder_dims, n_mels, 
-                 fft_bins, postnet_dims, encoder_K, lstm_dims, postnet_K, num_highways,
-                 dropout, stop_threshold, speaker_embedding_size):
-        super().__init__()
-        self.n_mels = n_mels
-        self.lstm_dims = lstm_dims
-        self.encoder_dims = encoder_dims
-        self.decoder_dims = decoder_dims
-        self.speaker_embedding_size = speaker_embedding_size
-        self.encoder = Encoder(embed_dims, num_chars, encoder_dims,
-                               encoder_K, num_highways, dropout)
-        self.encoder_proj = nn.Linear(encoder_dims + speaker_embedding_size, decoder_dims, bias=False)
-        self.decoder = Decoder(n_mels, encoder_dims, decoder_dims, lstm_dims,
-                               dropout, speaker_embedding_size)
-        self.postnet = CBHG(postnet_K, n_mels, postnet_dims,
-                            [postnet_dims, fft_bins], num_highways)
-        self.post_proj = nn.Linear(postnet_dims, fft_bins, bias=False)
-
-        self.init_model()
-        self.num_params()
-
-        self.register_buffer("step", torch.zeros(1, dtype=torch.long))
-        self.register_buffer("stop_threshold", torch.tensor(stop_threshold, dtype=torch.float32))
-
-    @property
-    def r(self):
-        return self.decoder.r.item()
-
-    @r.setter
-    def r(self, value):
-        self.decoder.r = self.decoder.r.new_tensor(value, requires_grad=False)
-
-    def forward(self, x, m, speaker_embedding):
-        device = next(self.parameters()).device  # use same device as parameters
-
-        self.step += 1
-        batch_size, _, steps  = m.size()
-
-        # Initialise all hidden states and pack into tuple
-        attn_hidden = torch.zeros(batch_size, self.decoder_dims, device=device)
-        rnn1_hidden = torch.zeros(batch_size, self.lstm_dims, device=device)
-        rnn2_hidden = torch.zeros(batch_size, self.lstm_dims, device=device)
-        hidden_states = (attn_hidden, rnn1_hidden, rnn2_hidden)
-
-        # Initialise all lstm cell states and pack into tuple
-        rnn1_cell = torch.zeros(batch_size, self.lstm_dims, device=device)
-        rnn2_cell = torch.zeros(batch_size, self.lstm_dims, device=device)
-        cell_states = (rnn1_cell, rnn2_cell)
-
-        # <GO> Frame for start of decoder loop
-        go_frame = torch.zeros(batch_size, self.n_mels, device=device)
-
-        # Need an initial context vector
-        context_vec = torch.zeros(batch_size, self.encoder_dims + self.speaker_embedding_size, device=device)
-
-        # SV2TTS: Run the encoder with the speaker embedding
-        # The projection avoids unnecessary matmuls in the decoder loop
-        encoder_seq = self.encoder(x, speaker_embedding)
-        encoder_seq_proj = self.encoder_proj(encoder_seq)
-
-        # Need a couple of lists for outputs
-        mel_outputs, attn_scores, stop_outputs = [], [], []
-
-        # Run the decoder loop
-        for t in range(0, steps, self.r):
-            prenet_in = m[:, :, t - 1] if t > 0 else go_frame
-            mel_frames, scores, hidden_states, cell_states, context_vec, stop_tokens = \
-                self.decoder(encoder_seq, encoder_seq_proj, prenet_in,
-                             hidden_states, cell_states, context_vec, t, x)
-            mel_outputs.append(mel_frames)
-            attn_scores.append(scores)
-            stop_outputs.extend([stop_tokens] * self.r)
-
-        # Concat the mel outputs into sequence
-        mel_outputs = torch.cat(mel_outputs, dim=2)
-
-        # Post-Process for Linear Spectrograms
-        postnet_out = self.postnet(mel_outputs)
-        linear = self.post_proj(postnet_out)
-        linear = linear.transpose(1, 2)
-
-        # For easy visualisation
-        attn_scores = torch.cat(attn_scores, 1)
-        # attn_scores = attn_scores.cpu().data.numpy()
-        stop_outputs = torch.cat(stop_outputs, 1)
-
-        return mel_outputs, linear, attn_scores, stop_outputs
-
-    def generate(self, x, speaker_embedding=None, steps=2000):
-        self.eval()
-        device = next(self.parameters()).device  # use same device as parameters
-
-        batch_size, _  = x.size()
-
-        # Need to initialise all hidden states and pack into tuple for tidyness
-        attn_hidden = torch.zeros(batch_size, self.decoder_dims, device=device)
-        rnn1_hidden = torch.zeros(batch_size, self.lstm_dims, device=device)
-        rnn2_hidden = torch.zeros(batch_size, self.lstm_dims, device=device)
-        hidden_states = (attn_hidden, rnn1_hidden, rnn2_hidden)
-
-        # Need to initialise all lstm cell states and pack into tuple for tidyness
-        rnn1_cell = torch.zeros(batch_size, self.lstm_dims, device=device)
-        rnn2_cell = torch.zeros(batch_size, self.lstm_dims, device=device)
-        cell_states = (rnn1_cell, rnn2_cell)
-
-        # Need a <GO> Frame for start of decoder loop
-        go_frame = torch.zeros(batch_size, self.n_mels, device=device)
-
-        # Need an initial context vector
-        context_vec = torch.zeros(batch_size, self.encoder_dims + self.speaker_embedding_size, device=device)
-
-        # SV2TTS: Run the encoder with the speaker embedding
-        # The projection avoids unnecessary matmuls in the decoder loop
-        encoder_seq = self.encoder(x, speaker_embedding)
-        encoder_seq_proj = self.encoder_proj(encoder_seq)
-
-        # Need a couple of lists for outputs
-        mel_outputs, attn_scores, stop_outputs = [], [], []
-
-        # Run the decoder loop
-        for t in range(0, steps, self.r):
-            prenet_in = mel_outputs[-1][:, :, -1] if t > 0 else go_frame
-            mel_frames, scores, hidden_states, cell_states, context_vec, stop_tokens = \
-            self.decoder(encoder_seq, encoder_seq_proj, prenet_in,
-                         hidden_states, cell_states, context_vec, t, x)
-            mel_outputs.append(mel_frames)
-            attn_scores.append(scores)
-            stop_outputs.extend([stop_tokens] * self.r)
-            # Stop the loop when all stop tokens in batch exceed threshold
-            if (stop_tokens > 0.5).all() and t > 10: break
-
-        # Concat the mel outputs into sequence
-        mel_outputs = torch.cat(mel_outputs, dim=2)
-
-        # Post-Process for Linear Spectrograms
-        postnet_out = self.postnet(mel_outputs)
-        linear = self.post_proj(postnet_out)
-
-
-        linear = linear.transpose(1, 2)
-
-        # For easy visualisation
-        attn_scores = torch.cat(attn_scores, 1)
-        stop_outputs = torch.cat(stop_outputs, 1)
-
-        self.train()
-
-        return mel_outputs, linear, attn_scores
-
-    def init_model(self):
-        for p in self.parameters():
-            if p.dim() > 1: nn.init.xavier_uniform_(p)
-
-    def get_step(self):
-        return self.step.data.item()
-
-    def reset_step(self):
-        # assignment to parameters or buffers is overloaded, updates internal dict entry
-        self.step = self.step.data.new_tensor(1)
-
-    def log(self, path, msg):
-        with open(path, "a") as f:
-            print(msg, file=f)
-
-    def load(self, path, optimizer=None):
-        # Use device of model params as location for loaded state
-        device = next(self.parameters()).device
-        checkpoint = torch.load(str(path), map_location=device)
-        self.load_state_dict(checkpoint["model_state"])
-
-        if "optimizer_state" in checkpoint and optimizer is not None:
-            optimizer.load_state_dict(checkpoint["optimizer_state"])
-
-    def save(self, path, optimizer=None):
-        if optimizer is not None:
-            torch.save({
-                "model_state": self.state_dict(),
-                "optimizer_state": optimizer.state_dict(),
-            }, str(path))
-        else:
-            torch.save({
-                "model_state": self.state_dict(),
-            }, str(path))
-
-
-    def num_params(self, print_out=True):
-        parameters = filter(lambda p: p.requires_grad, self.parameters())
-        parameters = sum([np.prod(p.size()) for p in parameters]) / 1_000_000
-        if print_out:
-            print("Trainable Parameters: %.3fM" % parameters)
-        return parameters
diff --git a/spaces/matthoffner/open-codetree/components/Skeleton/TemplateSelectionSkeleton.tsx b/spaces/matthoffner/open-codetree/components/Skeleton/TemplateSelectionSkeleton.tsx
deleted file mode 100644
index 821a3e77a837d1a7539830a874e0a81072c78888..0000000000000000000000000000000000000000
--- a/spaces/matthoffner/open-codetree/components/Skeleton/TemplateSelectionSkeleton.tsx
+++ /dev/null
@@ -1,19 +0,0 @@
-import React from "react";
-
-export const TemplateSelectionSkeleton = () => {
-  let items = [];
-
-  for (let i = 0; i < 10; i++) {
-    items.push(
-      <div key={i} className="flex animate-pulse">
-        <div className="h-9 w-9 bg-gray-400 rounded-sm" />
-        <div className="flex flex-col items-start justify-start pl-4 space-y-2.5 mt-1.5">
-          <div className="h-2 w-12 bg-gray-400 rounded-sm" />
-          <div className="h-2 w-20 bg-gray-400 rounded-sm" />
-        </div>
-      </div>
-    );
-  }
-
-  return <>{items}</>;
-};
diff --git a/spaces/merve/anonymization/source/dataset-worldviews/shapes.js b/spaces/merve/anonymization/source/dataset-worldviews/shapes.js
deleted file mode 100644
index 87af55b4829a78b48dc41f6674c12cd58cfc3741..0000000000000000000000000000000000000000
--- a/spaces/merve/anonymization/source/dataset-worldviews/shapes.js
+++ /dev/null
@@ -1,248 +0,0 @@
-
-// Space out the shapes a bit
-shapeParams.forEach((d) => (d.startX = d.startX * 1.1));
-
-// How to draw the background boxes, which will be styled later
-const classifierBgPathTop = "M 420 150 H 0 V 0 H 420 V 150";
-const classifierBgPathBottom = "M 420 300 H 0 V 0 H 420 V 300";
-
-const toDropdownValueStringDict = {
-    shape_name: "circles, triangles, or rectangles",
-    pointiness: "pointy shapes or round shapes",
-    size: "small shapes or big shapes",
-};
-
-const toShortValueStringDict = {
-    shape_name: "circles, triangles, or rectangles",
-    pointiness: "pointy or round",
-    size: "small or big",
-};
-
-const toDropdownValueRoundingStringDict = {
-    true: "with our best guess",
-    false: 'as "other"',
-};
-
-const toPropertyStringDict = {
-    pointy: "pointy shapes",
-    round: "round shapes",
-    small: "small shapes",
-    large: "big shapes",
-    circle: "circles",
-    triangle: "triangles",
-    rect: "rectangles",
-};
-
-function toOriginalString(inputString) {
-    for (const [key, value] of Object.entries(toPropertyStringDict)) {
-        if (inputString == value) {
-            return key;
-        }
-    }
-}
-
-function toPropertyString(inputProperty, isRounding = true) {
-    if (!isRounding && inputProperty.startsWith("rt_")) {
-        return "others";
-    }
-    return toPropertyStringDict[inputProperty.replace("rt_", "")];
-}
-
-// Dictionary mapping div name to classifier results and summary sentences
-var allResults = {};
-var summaries = {};
-
-function toBool(inputString) {
-    if (inputString == "true") {
-        return true;
-    }
-    return false;
-}
-function updateResults() {
-    allResults["default-classifier"] = calculateResults();
-    allResults["second-classifier"] = calculateResults(
-        "shape_name",
-        toBool(
-            document.getElementById("second-classifier-select-rounding").value
-        )
-    );
-
-    allResults["final-classifier"] = calculateResults(
-        document.getElementById("final-classifier-select-category").value,
-        toBool(
-            document.getElementById("final-classifier-select-rounding").value
-        )
-    );
-
-    allResults["conclusion"] = calculateResults(
-        document.getElementById("conclusion-select-category").value,
-        true
-    );
-
-    updateSummaries();
-    updateSecondInterfaceImages();
-}
-
-// Text summaries are written by hand for simplicity, and keyed simply by
-// a string of the form "[category]:[useGuess]" (or simply "none").
-// These are hashed in the same way as the results, by div name.
-function updateSummaries() {
-    summaries["default-classifier"] = getPerformanceSummary("none");
-    summaries["second-classifier"] = getPerformanceSummary(
-        "shape_name:" +
-            document.getElementById("second-classifier-select-rounding").value
-    );
-
-    summaries["final-classifier"] = getPerformanceSummary(
-        document.getElementById("final-classifier-select-category").value +
-            ":" +
-            document.getElementById("final-classifier-select-rounding").value
-    );
-
-    summaries["conclusion"] = getPerformanceSummary(
-        document.getElementById("conclusion-select-category").value + ":" + true
-    );
-}
-
-// Yes, these background colors are hardcoded in,
-// no, this is not good design, this is just how it happened.
-function getPerformanceSummary(key) {
-    allSummaries = {
-        "shape_name:true":
-            '<mark style="background-color: rgb(206, 234, 135);" class="well">well</mark> on circles, <mark style="background-color: rgb(244, 123, 74);" class="terribly">terribly</mark> on triangles, and <mark style="background-color: rgb(173, 220, 114);" class="best">best</mark> on rectangles',
-        "shape_name:false":
-            '<mark style="background-color: rgb(251, 163, 94);" class="poorly">poorly</mark> on circles, <mark style="background-color: rgb(155, 212, 108);" class="best">best</mark> on triangles and rectangles, and <mark style="background-color: rgb(252, 244, 171);" class="fine">fine</mark> on other shapes',
-        "pointiness:true":
-            '<mark style="background-color: rgb(184, 225, 119);" class="better">better</mark> on pointy shapes and <mark style="background-color: rgb(254, 206, 125);" class="worse">worse</mark> on round shapes',
-        "pointiness:false":
-            '<mark style="background-color: rgb(140, 205, 104);" class="best">best</mark> on pointy shapes, <mark style="background-color: rgb(243, 248, 171);" class="fine">fine</mark> on round shapes, and <mark style="background-color: rgb(253, 190, 111);" class="poorly">poorly</mark> on other shapes',
-        "size:true":
-            '<mark style="background-color: rgb(206, 234, 135);" class="better">better</mark> on small shapes, <mark style="background-color: rgb(254, 232, 154);" class="worse">worse</mark> on big shapes',
-        "size:false":
-            '<mark style="background-color: rgb(254, 215, 135);" class="poorly">poorly</mark> on small shapes, <mark style="background-color: rgb(165, 0, 38); color: #FFCCD8;" class="terribly">terribly</mark> on big shapes, and <mark style="background-color: rgb(110, 192, 99);" class="best">best</mark> on other shapes',
-        "none:true":
-            '<mark style="background-color: rgb(246, 248, 173);" class="fine">fine</mark> on all shapes',
-        "none:false":
-            '<mark style="background-color: rgb(246, 248, 173);" class="fine">fine</mark> on all shapes',
-        none: '<mark style="background-color: rgb(246, 248, 173);" class="fine">fine</mark> on all shapes',
-    };
-
-    return "The Is-Shaded Classifier performs " + allSummaries[key] + ".";
-}
-
-// On the second-classifier dropdown, update the "task interface" image.
-function updateSecondInterfaceImages() {
-    d3.select(".second-interface").html(function () {
-        if (
-            !document.getElementById("second-classifier-select-rounding").value
-        ) {
-            return;
-        }
-        var imgPath =
-            "img/interface_shape_name_" +
-            document.getElementById("second-classifier-select-rounding").value;
-        return (
-            '<img src="' +
-            imgPath +
-            '.png" alt="" class="interface-image" srcset="' +
-            imgPath +
-            '.svg"></img>'
-        );
-    });
-}
-
-// Calculate results given input parameters
-function calculateResults(property = "none", useGuess = false) {
-    switch (property) {
-        case "none":
-            var nAccurate = shapeParams.filter(
-                (shape) => shape.correctness == "correct"
-            ).length;
-            var totalShapes = shapeParams.length;
-
-            var results = [
-                {
-                    object: "shape",
-                    n: totalShapes,
-                    "n correct": nAccurate,
-                    accuracy: (nAccurate / totalShapes).toFixed(3),
-                    rawCategoryName: "none",
-                },
-            ];
-
-            return results;
-        case "pointiness":
-            categories = ["pointy", "round"];
-            break;
-        case "size":
-            categories = ["small", "large"];
-            break;
-        case "shape_name":
-            categories = ["circle", "triangle", "rect"];
-            break;
-    }
-
-    var results = [];
-    if (useGuess == true) {
-        // Rounding shapes to categories
-
-        for (const category of categories) {
-            // Get shapes that are either in this category (e.g. rectangle) or "rounds to" this category (e.g. rt_rectangle)
-            var theseShapes = shapeParams.filter(
-                (shape) =>
-                    shape[property] == category ||
-                    shape[property] == "rt_" + category
-            );
-            var nAccurate = theseShapes.filter(
-                (shape) => shape.correctness == "correct"
-            ).length;
-            var totalShapes = theseShapes.length;
-
-            results.push({
-                object: toPropertyString(category),
-                n: totalShapes,
-                "n correct": nAccurate,
-                accuracy: (nAccurate / totalShapes).toFixed(3),
-                rawCategoryName: category,
-            });
-        }
-    } else {
-        // Not rounding, treat everything else as "other"
-
-        // First go through existing categories
-        for (const category of categories) {
-            var theseShapes = shapeParams.filter(
-                (shape) => shape[property] == category
-            );
-            var nAccurate = theseShapes.filter(
-                (shape) => shape.correctness == "correct"
-            ).length;
-            var totalShapes = theseShapes.length;
-            results.push({
-                object: toPropertyString(category),
-                n: totalShapes,
-                "n correct": nAccurate,
-                accuracy: (nAccurate / totalShapes).toFixed(3),
-                rawCategoryName: category,
-            });
-        }
-
-        // Now get "other" shapes
-        var theseShapes = shapeParams.filter(
-            (shape) => !categories.includes(shape[property])
-        );
-        var nAccurate = theseShapes.filter(
-            (shape) => shape.correctness == "correct"
-        ).length;
-        var totalShapes = theseShapes.length;
-        results.push({
-            object: "other shapes",
-            n: totalShapes,
-            "n correct": nAccurate,
-            accuracy: (nAccurate / totalShapes).toFixed(3),
-            rawCategoryName: "other",
-        });
-    }
-
-    return results;
-}
diff --git a/spaces/merve/data-leak/public/measuring-diversity/image-layout.js b/spaces/merve/data-leak/public/measuring-diversity/image-layout.js
deleted file mode 100644
index 7a06cc4399043f317e81c28da4139599a84f58da..0000000000000000000000000000000000000000
--- a/spaces/merve/data-leak/public/measuring-diversity/image-layout.js
+++ /dev/null
@@ -1,73 +0,0 @@
-
-
-var lURLs = `
-img/green_doctor.png
-img/blue_doctor.jpg
-img/green0.png
-img/bright_blue.png
-img/blue0.png
-img/blue1.png
-`.trim().split('\n')
-
-
-var rURLs = `
-img/white0.png
-img/white1.png
-img/white2.png
-img/white3.png
-img/white4.png
-img/white5.png
-`.trim().split('\n')
-
-
-var constructionSel = d3.select('#construction')
-  .html('')
-
-// constructionSel.append('div.top').each(function(){
-//   var metrics = [{str: 'Male', key: 'Male', target: .5}]
-//   var active ={ percents: {Male: .5}}
-//   addMetrics(metrics, {topSel: d3.select(this).append('div.top'), active, isSmall: true})()
-// })
-
-constructionSel.append('img')
-  .at({src: 'img/construction.jpg', width: 900})
-
-constructionSel.append('div')
-  .st({fontWeight: 500, fontSize: 14})
-  .text('Stock “construction worker” images')
-
-
-
-
-var width = 400
-var coatDivs = d3.select('#coat-v-gender').html('').st({marginBottom: 40})
-  .appendMany('div', [lURLs, rURLs])
-  .st({width: width, display: 'inline-block', marginRight: 20})
-
-
-coatDivs.each(function(d, i){
-  var metrics = [
-    {str: 'Blue', key: 'Blue', target: .5},
-    {str: 'Male', key: 'Male', target: .5},
-  ]
-
-  var active = !i ? {percents: {Blue: .5, Male: 1}} : {percents: {Blue: 0, Male: .5}}
-
-  addMetrics(metrics, {topSel: d3.select(this).append('div.top'), active, isSmall: true})()
-})
-
-coatDivs
-  .st({fontWeight: 500, fontSize: 14})
-  .appendMany('div', d => d.slice(0, 6))
-  .st({backgroundImage: d => 'url(' + d + ')', width: width/3 - 10, height: 100, display: 'inline-block'})
-  .st({marginRight: 8, outline: '1px solid #000'})
-
-coatDivs
-  .append('div')
-  .text((d, i) => d == lURLs ? 'Male-presenting doctors wearing different colored clothes' : 'Doctor of different genders wearing white clothes')
-
-
-
-
-
-// https://t3.gstatic.com/images?q=tbn:ANd9GcRziJdedqu58HeAlI9xtWhrVtCjVo6xO_uSHdQkxAI0q41XozLWT3xKd36S1NbuSoIOVvV4Huw26zAvdM_374qKuN9J88E
\ No newline at end of file
diff --git a/spaces/merve/hidden-bias/public/data-leak/index.html b/spaces/merve/hidden-bias/public/data-leak/index.html
deleted file mode 100644
index 48382c629935410818fbefd120b3f743019c4f40..0000000000000000000000000000000000000000
--- a/spaces/merve/hidden-bias/public/data-leak/index.html
+++ /dev/null
@@ -1,170 +0,0 @@
-<!--
-@license
-Copyright 2020 Google. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
--->
-
-<!DOCTYPE html>
-
-<html>
-<head>
-	<meta charset="utf-8">
-  <meta name="viewport" content="width=device-width, initial-scale=1">
-
-  <link rel="apple-touch-icon" sizes="180x180" href="https://pair.withgoogle.com/images/favicon/apple-touch-icon.png">
-  <link rel="icon" type="image/png" sizes="32x32" href="https://pair.withgoogle.com/images/favicon/favicon-32x32.png">
-  <link rel="icon" type="image/png" sizes="16x16" href="https://pair.withgoogle.com/images/favicon/favicon-16x16.png">
-  <link rel="mask-icon" href="https://pair.withgoogle.com/images/favicon/safari-pinned-tab.svg" color="#00695c">
-  <link rel="shortcut icon" href="https://pair.withgoogle.com/images/favicon.ico">
-
-  <script>
-    !(function(){
-      var url = window.location.href
-      if (url.split('#')[0].split('?')[0].slice(-1) != '/' && !url.includes('.html')) window.location = url + '/'
-    })()
-  </script>
-
-  <title>Why Some Models Leak Data</title>
-  <meta property="og:title" content="Why Some Models Leak Data">
-  <meta property="og:url" content="https://pair.withgoogle.com/explorables/data-leak/">
-
-  <meta name="og:description" content="Machine learning models use large amounts of data, some of which can be sensitive. If they're not trained correctly, sometimes that data is inadvertently revealed.">
-  <meta property="og:image" content="https://pair.withgoogle.com/explorables/images/model-inversion.png">
-  <meta name="twitter:card" content="summary_large_image">
-  
-	<link rel="stylesheet" type="text/css" href="../style.css">
-
-  <link href='https://fonts.googleapis.com/css?family=Roboto+Slab:400,500,700|Roboto:700,500,300' rel='stylesheet' type='text/css'>  
-  <link href="https://fonts.googleapis.com/css?family=Google+Sans:400,500,700" rel="stylesheet">
-
-	<meta name="viewport" content="width=device-width">
-</head>
-<body>
-  <div class='header'>
-    <div class='header-left'>
-      <a href='https://pair.withgoogle.com/'>
-        <img src='../images/pair-logo.svg' style='width: 100px'></img>
-      </a>
-      <a href='../'>Explorables</a> 
-    </div>
-  </div>
-  
-  <h1 class='headline'>Why Some Models Leak Data</h1>
-  <div class="post-summary">Machine learning models use large amounts of data, some of which can be sensitive. If they're not trained correctly, sometimes that data is inadvertently revealed.</div>
-  <link rel="stylesheet" href="style.css">
-
-
-<p>Let’s take a look at a game of soccer. </p>
-<link rel="stylesheet" href="style.css">
-
-<div id='field-grass' class='field'></div>
-
-<p><br></br> </p>
-<p>Using the position of each player as training data, we can teach a model to predict which team would get to a loose ball first at each spot on the field, indicated by the color of the pixel.</p>
-<div id='field-prediction' class='field'></div>
-
-<p>It updates in real-time—drag the players around to see the model change.</p>
-<p><br></br> </p>
-<p>This model reveals quite a lot about the data used to train it. Even without the actual positions of the players, it is simple to see where players might be.   </p>
-<div id='field-playerless' class='field'></div>
-
-<p>Click this button to <span class="button" id="player-button">move the players</span> </p>
-<p>Take a guess at where the yellow team’s goalie is now, then check their actual position. How close were you?</p>
-<h3>Sensitive Salary Data</h3>
-
-<p>In this specific soccer example, being able to make educated guesses about the data a model was trained on doesn’t matter too much. But what if our data points represent something more sensitive?</p>
-<div id='field-scatter' class='field'></div>
-
-<p>We’ve fed the same numbers into the model, but now they represent salary data instead of soccer data. Building models like this is a common technique to <a href="https://www.eeoc.gov/laws/guidance/section-10-compensation-discrimination#c.%20Using%20More%20Sophisticated%20Statistical%20Techniques%20to%20Evaluate">detect discrimination</a>. A union might test if a company is paying men and women fairly by building a salary model that takes into account years of experience. They can then <a href="https://postguild.org/2019-pay-study/">publish</a> the results to bring pressure for change or show improvement.</p>
-<p>In this hypothetical salary study, even though no individual salaries have been published, it is easy to infer the salary of the newest male hire. And carefully cross referencing public start dates on LinkedIn with the model could almost perfectly reveal everyone’s salary.</p>
-<p>Because the model here is so flexible (there are hundreds of square patches with independently calculated predictions) and we have so few data points (just 22 people), it is able to “memorize” individual data points. If we’re looking to share information about patterns in salaries, a simpler and more constrained model like a linear regression might be more appropriate. </p>
-<div id='field-regression' class='field'></div>
-
-<p>By boiling down the 22 data points to two lines we’re able to see broad trends without being able to guess anyone’s salary.</p>
-<h3>Subtle Leaks</h3>
-
-<p>Removing complexity isn’t a complete solution though. Depending on how the data is distributed, even a simple line can inadvertently reveal information.</p>
-<div id='field-regression-leak' class='field'></div>
-
-<p>In this company, almost all the men started several years ago, so the slope of the line is especially sensitive to the salary of the new hire. </p>
-<p>Is their salary <span class="button" id="high-button">higher or lower</span> than average? Based on the line, we can make a pretty good guess.</p>
-<p>Notice that changing the salary of someone with a more common tenure barely moves the line. In general, more typical data points are less susceptible to being leaked. This sets up a tricky trade off: we want models to learn about edge cases while being sure they haven’t memorized individual data points.</p>
-<h3>Real World Data</h3>
-
-<p>Models of real world data are often quite complex—this can improve accuracy, but makes them <a href="https://blog.tensorflow.org/2020/06/introducing-new-privacy-testing-library.html">more susceptible</a> to unexpectedly leaking information. Medical models have inadvertently revealed <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4827719/">patients’ genetic markers</a>. Language models have memorized <a href="https://bair.berkeley.edu/blog/2019/08/13/memorization/">credit card numbers</a>. Faces can even be <a href="https://rist.tech.cornell.edu/papers/mi-ccs.pdf">reconstructed</a> from image models: </p>
-<div class='face-container'><img src='face.png'></div>
-
-<p><a href="https://rist.tech.cornell.edu/papers/mi-ccs.pdf">Fredrikson et al</a> were able to extract the image on the left by repeatedly querying a facial recognition API. It isn’t an exact match with the individual’s actual face (on the right), but this attack only required access to the model’s predictions, not its internal state.  </p>
-<h3>Protecting Private Data</h3>
-
-<p>Training models with <a href="http://www.cleverhans.io/privacy/2018/04/29/privacy-and-machine-learning.html">differential privacy</a> stops the training data from leaking by limiting how much the model can learn from any one data point. Differentially private models are still at the cutting edge of research, but they’re being packaged into <a href="https://blog.tensorflow.org/2019/03/introducing-tensorflow-privacy-learning.html">machine learning frameworks</a>, making them much easier to use. When it isn’t possible to train differentially private models, there are also tools that can <a href="https://github.com/tensorflow/privacy/tree/master/tensorflow_privacy/privacy/membership_inference_attack">measure</a> how much data is the model memorizing. Also, standard techniques such as aggregation and limiting how much data a single source can contribute are still useful and usually improve the privacy of the model.</p>
-<p>As we saw in the <a href="https://pair.withgoogle.com/explorables/anonymization/">Collecting Sensitive Information Explorable</a>, adding enough random noise with differential privacy to protect outliers like the new hire  can increase the amount of data required to reach a good level of accuracy. Depending on the application, the constraints of differential privacy could even improve the model—for instance, not learning too much from one data point can help prevent <a href="https://openreview.net/forum?id=r1xyx3R9tQ">overfitting</a>. </p>
-<p>Given the increasing utility of machine learning models for many real-world tasks, it’s clear that more and more systems, devices and apps will be powered, to some extent, by machine learning in the future. While <a href="https://owasp.org/www-project-top-ten/">standard privacy best practices</a> developed for non-machine learning systems still apply to those with machine learning, the introduction of machine learning introduces new challenges, including the ability of the model to memorize some specific training data points and thus be vulnerable to privacy attacks that seek to extract this data from the model. Fortunately, techniques such as differential privacy exist that can be helpful in overcoming this specific challenge. Just as with other areas of <a href="https://ai.google/responsibilities/responsible-ai-practices/">Responsible AI</a>, it’s important to be aware of these new challenges that come along with machine learning and what steps can be taken to mitigate them. </p>
-<h3>Credits</h3>
-
-<p>Adam Pearce and Ellen Jiang // December 2020</p>
-<p>Thanks to Andreas Terzis, Ben Wedin, Carey Radebaugh, David Weinberger, Emily Reif, Fernanda Viégas, Hal Abelson, Kristen Olson, Martin Wattenberg, Michael Terry, Miguel Guevara, Thomas Steinke, Yannick Assogba, Zan Armstrong and our other colleagues at Google for their help with this piece.</p>
-<h3>More Explorables</h3>
-
-<p id='recirc'></p>
-
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diff --git a/spaces/merve/measuring-fairness/public/fill-in-the-blank/init.js b/spaces/merve/measuring-fairness/public/fill-in-the-blank/init.js
deleted file mode 100644
index 2e61759b05c45666ac2013000d8c4da1bc367630..0000000000000000000000000000000000000000
--- a/spaces/merve/measuring-fairness/public/fill-in-the-blank/init.js
+++ /dev/null
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-    http://www.apache.org/licenses/LICENSE-2.0
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-Unless required by applicable law or agreed to in writing, software
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-    })
-
-  sel.on('mousemove',mouseover).on('mouseout', mouseout)
-  ttSel.on('mousemove', mouseover).on('mouseout', mouseout)
-  function mouseover(){
-    if (window.__ttfade) window.__ttfade.stop()
-  }
-  function mouseout(){
-    if (window.__ttfade) window.__ttfade.stop()
-    window.__ttfade = d3.timeout(() => {
-      ttSel.classed('tooltip-hidden', true)
-    }, 250)
-  }
-}
-
-// Footnotes
-!(function(){
-  var footnums = '¹²³⁴⁵⁶⁷⁸⁹'
-
-  var footendSel = d3.selectAll('.footend')
-    .each(function(d, i){
-      var sel = d3.select(this)
-      var ogHTML = sel.parent().html()
-      sel
-        .at({href: '#footstart-' + i, id: 'footend-' + i})
-        .text(footnums[i])
-        .datum(ogHTML)
-    })
-
-
-  var footstartSel = d3.selectAll('.footstart')
-    .each(function(d, i){
-      d3.select(this)
-        .at({
-          href: '#footend-' + i,
-        })
-        .text(footnums[i])
-        .datum(footendSel.data()[i])
-        .parent().at({id: 'footstart-' + i})
-    })
-    .call(addLockedTooltip)
-
-})()
-
-
-
-
-
-
-
-// // Populate interesting alts
-// !(() => {
-//   var listSel = d3.select('.interesting-list').st({display: 'none'})
-
-//   var listStr = listSel.text()
-
-//   _.last(pairs).alts = listStr.split('-').map(d => d.trim()).filter(d => d).map(rawStr => {
-//     var start = rawStr.split('[')[0]
-//     var end = rawStr.split(']')[1]
-
-//     var [t0, t1] = rawStr.split('[')[1].split(']')[0].split('|')
-//     var s0 = start + t0 + end
-//     var s1 = start + t1 + end
-
-//     var str = `<div style=display:inline-block>${start} 
-//       <span style=color:${util.colors[1]}>${t1}</span>|<span
-//             style=color:${util.colors[0]}>${t0}</span>
-//       ${end}</div>`.replace('_', '____')
-
-//     return {str, s0, s1}
-//   })
-// })()
-
-// // Populate difference in difference
-// !(() => {
-//   var listSel = d3.select('.difference-difference-list').st({display: 'none'})
-
-//   var listStr = listSel.text()
-
-//   diffs[0].alts = listStr.split('-').map(d => d.trim()).filter(d => d).map(rawStr => {
-//     var start = rawStr.split('[')[0]
-//     var end = rawStr.split(']')[1]
-
-//     var [t0, t1] = rawStr.split('[')[1].split(']')[0].split('|')
-//     var s0 = start + t0 + end
-//     var s1 = start + t1 + end
-
-//     var str = `<div style=display:inline-block>${rawStr}</div>`.replace('_', '____')
-
-
-//     return {str, s0, s1, rawStr}
-//   })
-// })()
diff --git a/spaces/merve/measuring-fairness/public/third_party/params.js b/spaces/merve/measuring-fairness/public/third_party/params.js
deleted file mode 100644
index 8b4b8b39bb932ef3d7784445c6e9e5fc04b12841..0000000000000000000000000000000000000000
--- a/spaces/merve/measuring-fairness/public/third_party/params.js
+++ /dev/null
@@ -1,22 +0,0 @@
-window.makeParams = function(){
-  var url = new URL(window.location)
-  var searchParams = new URLSearchParams(url.search) 
-
-  var rv = {}
-
-  rv.get = key => {
-    return searchParams.get(key)
-  }
-
-  rv.set = (key, value) => {
-    searchParams.set(key, value)
-
-    url.search = searchParams.toString()
-    history.replaceState(null, '', url)
-  }
-
-  return rv
-}
-
-
-if (window.init) init()
\ No newline at end of file
diff --git a/spaces/mfrashad/CharacterGAN/decomposition.py b/spaces/mfrashad/CharacterGAN/decomposition.py
deleted file mode 100644
index 4819e3324707f15c33fba6f35ab6abdc66dea919..0000000000000000000000000000000000000000
--- a/spaces/mfrashad/CharacterGAN/decomposition.py
+++ /dev/null
@@ -1,402 +0,0 @@
-# Copyright 2020 Erik Härkönen. All rights reserved.
-# This file is licensed to you under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License. You may obtain a copy
-# of the License at http://www.apache.org/licenses/LICENSE-2.0
-
-# Unless required by applicable law or agreed to in writing, software distributed under
-# the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR REPRESENTATIONS
-# OF ANY KIND, either express or implied. See the License for the specific language
-# governing permissions and limitations under the License.
-
-# Patch for broken CTRL+C handler
-# https://github.com/ContinuumIO/anaconda-issues/issues/905
-import os
-os.environ['FOR_DISABLE_CONSOLE_CTRL_HANDLER'] = '1'
-
-import numpy as np
-import os
-from pathlib import Path
-import re
-import sys
-import datetime
-import argparse
-import torch
-import json
-from types import SimpleNamespace
-import scipy
-from scipy.cluster.vq import kmeans
-from tqdm import trange
-from netdissect.nethook import InstrumentedModel
-from config import Config
-from estimators import get_estimator
-from models import get_instrumented_model
-
-SEED_SAMPLING = 1
-SEED_RANDOM_DIRS = 2
-SEED_LINREG = 3
-SEED_VISUALIZATION = 5
-
-B = 20
-n_clusters = 500
-
-def get_random_dirs(components, dimensions):
-    gen = np.random.RandomState(seed=SEED_RANDOM_DIRS)
-    dirs = gen.normal(size=(components, dimensions))
-    dirs /= np.sqrt(np.sum(dirs**2, axis=1, keepdims=True))
-    return dirs.astype(np.float32)
-
-# Compute maximum batch size for given VRAM and network
-def get_max_batch_size(inst, device, layer_name=None):
-    inst.remove_edits()
-
-    # Reset statistics
-    torch.cuda.reset_max_memory_cached(device)
-    torch.cuda.reset_max_memory_allocated(device)
-    total_mem = torch.cuda.get_device_properties(device).total_memory
-
-    B_max = 20
-
-    # Measure actual usage
-    for i in range(2, B_max, 2):
-        z = inst.model.sample_latent(n_samples=i)
-        if layer_name:
-            inst.model.partial_forward(z, layer_name)
-        else:
-            inst.model.forward(z)
-
-        maxmem = torch.cuda.max_memory_allocated(device)
-        del z
-
-        if maxmem > 0.5*total_mem:
-            print('Batch size {:d}: memory usage {:.0f}MB'.format(i, maxmem / 1e6))
-            return i
-
-    return B_max
-
-# Solve for directions in latent space that match PCs in activaiton space
-def linreg_lstsq(comp_np, mean_np, stdev_np, inst, config):
-    print('Performing least squares regression', flush=True)
-
-    torch.manual_seed(SEED_LINREG)
-    np.random.seed(SEED_LINREG)
-
-    comp = torch.from_numpy(comp_np).float().to(inst.model.device)
-    mean = torch.from_numpy(mean_np).float().to(inst.model.device)
-    stdev = torch.from_numpy(stdev_np).float().to(inst.model.device)
-
-    n_samp = max(10_000, config.n) // B * B # make divisible
-    n_comp = comp.shape[0]
-    latent_dims = inst.model.get_latent_dims()
-    
-    # We're looking for M s.t. M*P*G'(Z) = Z => M*A = Z
-    #   Z = batch of latent vectors (n_samples x latent_dims)
-    #   G'(Z) = batch of activations at intermediate layer
-    #   A = P*G'(Z) = projected activations (n_samples x pca_coords)
-    #   M = linear mapping (pca_coords x latent_dims)
-
-    # Minimization min_M ||MA - Z||_l2 rewritten as min_M.T ||A.T*M.T - Z.T||_l2
-    # to match format expected by pytorch.lstsq
-
-    # TODO: regression on pixel-space outputs? (using nonlinear optimizer)
-    # min_M lpips(G_full(MA), G_full(Z))
-
-    # Tensors to fill with data
-    # Dimensions other way around, so these are actually the transposes
-    A = np.zeros((n_samp, n_comp), dtype=np.float32)
-    Z = np.zeros((n_samp, latent_dims), dtype=np.float32)
-    
-    # Project tensor X onto PCs, return coordinates
-    def project(X, comp):
-        N = X.shape[0]
-        K = comp.shape[0]
-        coords = torch.bmm(comp.expand([N]+[-1]*comp.ndim), X.view(N, -1, 1))
-        return coords.reshape(N, K)
-
-    for i in trange(n_samp // B, desc='Collecting samples', ascii=True):
-        z = inst.model.sample_latent(B)
-        inst.model.partial_forward(z, config.layer)
-        act = inst.retained_features()[config.layer].reshape(B, -1)
-
-        # Project onto basis
-        act = act - mean
-        coords = project(act, comp)
-        coords_scaled = coords / stdev
-
-        A[i*B:(i+1)*B] = coords_scaled.detach().cpu().numpy()
-        Z[i*B:(i+1)*B] = z.detach().cpu().numpy().reshape(B, -1)
-
-    # Solve least squares fit
-
-    # gelsd = divide-and-conquer SVD; good default
-    # gelsy = complete orthogonal factorization; sometimes faster
-    # gelss = SVD; slow but less memory hungry
-    M_t = scipy.linalg.lstsq(A, Z, lapack_driver='gelsd')[0] # torch.lstsq(Z, A)[0][:n_comp, :]
-    
-    # Solution given by rows of M_t
-    Z_comp = M_t[:n_comp, :]
-    Z_mean = np.mean(Z, axis=0, keepdims=True)
-
-    return Z_comp, Z_mean
-
-def regression(comp, mean, stdev, inst, config):
-    # Sanity check: verify orthonormality
-    M = np.dot(comp, comp.T)
-    if not np.allclose(M, np.identity(M.shape[0])):
-        det = np.linalg.det(M)
-        print(f'WARNING: Computed basis is not orthonormal (determinant={det})')
-
-    return linreg_lstsq(comp, mean, stdev, inst, config)
-
-def compute(config, dump_name, instrumented_model):
-    global B
-
-    timestamp = lambda : datetime.datetime.now().strftime("%d.%m %H:%M")
-    print(f'[{timestamp()}] Computing', dump_name.name)
-
-    # Ensure reproducibility
-    torch.manual_seed(0) # also sets cuda seeds
-    np.random.seed(0)
-
-    # Speed up backend
-    torch.backends.cudnn.benchmark = True
-
-    has_gpu = torch.cuda.is_available()
-    device = torch.device('cuda' if has_gpu else 'cpu')
-    layer_key = config.layer
-
-    if instrumented_model is None:
-        inst = get_instrumented_model(config.model, config.output_class, layer_key, device)
-        model = inst.model
-    else:
-        print('Reusing InstrumentedModel instance')
-        inst = instrumented_model
-        model = inst.model
-        inst.remove_edits()
-        model.set_output_class(config.output_class)
-
-    # Regress back to w space
-    if config.use_w:
-        print('Using W latent space')
-        model.use_w()
-
-    inst.retain_layer(layer_key)
-    model.partial_forward(model.sample_latent(1), layer_key)
-    sample_shape = inst.retained_features()[layer_key].shape
-    sample_dims = np.prod(sample_shape)
-    print('Feature shape:', sample_shape)
-
-    input_shape = inst.model.get_latent_shape()
-    input_dims = inst.model.get_latent_dims()
-
-    config.components = min(config.components, sample_dims)
-    transformer = get_estimator(config.estimator, config.components, config.sparsity)
-
-    X = None
-    X_global_mean = None
-
-    # Figure out batch size if not provided
-    B = config.batch_size or get_max_batch_size(inst, device, layer_key)
-
-    # Divisible by B (ignored in output name)
-    N = config.n // B * B
-
-    # Compute maximum batch size based on RAM + pagefile budget
-    target_bytes = 20 * 1_000_000_000 # GB
-    feat_size_bytes = sample_dims * np.dtype('float64').itemsize
-    N_limit_RAM = np.floor_divide(target_bytes, feat_size_bytes)
-    if not transformer.batch_support and N > N_limit_RAM:
-        print('WARNING: estimator does not support batching, ' \
-            'given config will use {:.1f} GB memory.'.format(feat_size_bytes / 1_000_000_000 * N))
-
-    # 32-bit LAPACK gets very unhappy about huge matrices (in linalg.svd)
-    if config.estimator == 'ica':
-        lapack_max_N = np.floor_divide(np.iinfo(np.int32).max // 4, sample_dims) # 4x extra buffer
-        if N > lapack_max_N:
-            raise RuntimeError(f'Matrices too large for ICA, please use N <= {lapack_max_N}')
-
-    print('B={}, N={}, dims={}, N/dims={:.1f}'.format(B, N, sample_dims, N/sample_dims), flush=True)
-
-    # Must not depend on chosen batch size (reproducibility)
-    NB = max(B, max(2_000, 3*config.components)) # ipca: as large as possible!
-    
-    samples = None
-    if not transformer.batch_support:
-        samples = np.zeros((N + NB, sample_dims), dtype=np.float32)
-
-    torch.manual_seed(config.seed or SEED_SAMPLING)
-    np.random.seed(config.seed or SEED_SAMPLING)
-
-    # Use exactly the same latents regardless of batch size
-    # Store in main memory, since N might be huge (1M+)
-    # Run in batches, since sample_latent() might perform Z -> W mapping
-    n_lat = ((N + NB - 1) // B + 1) * B
-    latents = np.zeros((n_lat, *input_shape[1:]), dtype=np.float32)
-    with torch.no_grad():
-        for i in trange(n_lat // B, desc='Sampling latents'):
-            latents[i*B:(i+1)*B] = model.sample_latent(n_samples=B).cpu().numpy()
-
-    # Decomposition on non-Gaussian latent space
-    samples_are_latents = layer_key in ['g_mapping', 'style'] and inst.model.latent_space_name() == 'W'
-
-    canceled = False
-    try:
-        X = np.ones((NB, sample_dims), dtype=np.float32)
-        action = 'Fitting' if transformer.batch_support else 'Collecting'
-        for gi in trange(0, N, NB, desc=f'{action} batches (NB={NB})', ascii=True):
-            for mb in range(0, NB, B):
-                z = torch.from_numpy(latents[gi+mb:gi+mb+B]).to(device)
-                
-                if samples_are_latents:
-                    # Decomposition on latents directly (e.g. StyleGAN W)
-                    batch = z.reshape((B, -1))
-                else:
-                    # Decomposition on intermediate layer
-                    with torch.no_grad():
-                        model.partial_forward(z, layer_key)
-                    
-                    # Permuted to place PCA dimensions last
-                    batch = inst.retained_features()[layer_key].reshape((B, -1))
-
-                space_left = min(B, NB - mb)
-                X[mb:mb+space_left] = batch.cpu().numpy()[:space_left]
-
-            if transformer.batch_support:
-                if not transformer.fit_partial(X.reshape(-1, sample_dims)):
-                    break
-            else:
-                samples[gi:gi+NB, :] = X.copy()
-    except KeyboardInterrupt:
-        if not transformer.batch_support:
-            sys.exit(1) # no progress yet
-        
-        dump_name = dump_name.parent / dump_name.name.replace(f'n{N}', f'n{gi}')
-        print(f'Saving current state to "{dump_name.name}" before exiting')
-        canceled = True
-        
-    if not transformer.batch_support:
-        X = samples # Use all samples
-        X_global_mean = X.mean(axis=0, keepdims=True, dtype=np.float32) # TODO: activations surely multi-modal...!
-        X -= X_global_mean
-        
-        print(f'[{timestamp()}] Fitting whole batch')
-        t_start_fit = datetime.datetime.now()
-
-        transformer.fit(X)
-        
-        print(f'[{timestamp()}] Done in {datetime.datetime.now() - t_start_fit}')
-        assert np.all(transformer.transformer.mean_ < 1e-3), 'Mean of normalized data should be zero'
-    else:
-        X_global_mean = transformer.transformer.mean_.reshape((1, sample_dims))
-        X = X.reshape(-1, sample_dims)
-        X -= X_global_mean
-
-    X_comp, X_stdev, X_var_ratio = transformer.get_components()
-    
-    assert X_comp.shape[1] == sample_dims \
-        and X_comp.shape[0] == config.components \
-        and X_global_mean.shape[1] == sample_dims \
-        and X_stdev.shape[0] == config.components, 'Invalid shape'
-
-    # 'Activations' are really latents in a secondary latent space
-    if samples_are_latents:
-        Z_comp = X_comp
-        Z_global_mean = X_global_mean
-    else:
-        Z_comp, Z_global_mean = regression(X_comp, X_global_mean, X_stdev, inst, config)
-
-    # Normalize
-    Z_comp /= np.linalg.norm(Z_comp, axis=-1, keepdims=True)
-
-    # Random projections
-    # We expect these to explain much less of the variance
-    random_dirs = get_random_dirs(config.components, np.prod(sample_shape))
-    n_rand_samples = min(5000, X.shape[0])
-    X_view = X[:n_rand_samples, :].T
-    assert np.shares_memory(X_view, X), "Error: slice produced copy"
-    X_stdev_random = np.dot(random_dirs, X_view).std(axis=1)
-
-    # Inflate back to proper shapes (for easier broadcasting)
-    X_comp = X_comp.reshape(-1, *sample_shape)
-    X_global_mean = X_global_mean.reshape(sample_shape)
-    Z_comp = Z_comp.reshape(-1, *input_shape)
-    Z_global_mean = Z_global_mean.reshape(input_shape)
-
-    # Compute stdev in latent space if non-Gaussian
-    lat_stdev = np.ones_like(X_stdev)
-    if config.use_w:
-        samples = model.sample_latent(5000).reshape(5000, input_dims).detach().cpu().numpy()
-        coords = np.dot(Z_comp.reshape(-1, input_dims), samples.T)
-        lat_stdev = coords.std(axis=1)
-
-    os.makedirs(dump_name.parent, exist_ok=True)
-    np.savez_compressed(dump_name, **{
-        'act_comp': X_comp.astype(np.float32),
-        'act_mean': X_global_mean.astype(np.float32),
-        'act_stdev': X_stdev.astype(np.float32),
-        'lat_comp': Z_comp.astype(np.float32),
-        'lat_mean': Z_global_mean.astype(np.float32),
-        'lat_stdev': lat_stdev.astype(np.float32),
-        'var_ratio': X_var_ratio.astype(np.float32),
-        'random_stdevs': X_stdev_random.astype(np.float32),
-    })
-
-    if canceled:
-        sys.exit(1)
-
-    # Don't shutdown if passed as param
-    if instrumented_model is None:
-        inst.close()
-        del inst
-        del model
-
-    del X
-    del X_comp
-    del random_dirs
-    del batch
-    del samples
-    del latents
-    torch.cuda.empty_cache()
-
-# Return cached results or commpute if needed
-# Pass existing InstrumentedModel instance to reuse it
-def get_or_compute(config, model=None, submit_config=None, force_recompute=False):
-    if submit_config is None:
-        wrkdir = str(Path(__file__).parent.resolve())
-        submit_config = SimpleNamespace(run_dir_root = wrkdir, run_dir = wrkdir)
-    
-    # Called directly by run.py
-    return _compute(submit_config, config, model, force_recompute)
-
-def _compute(submit_config, config, model=None, force_recompute=False):
-    basedir = Path(submit_config.run_dir)
-    outdir = basedir / 'out'
-    
-    if config.n is None:
-        raise RuntimeError('Must specify number of samples with -n=XXX')
-
-    if model and not isinstance(model, InstrumentedModel):
-        raise RuntimeError('Passed model has to be wrapped in "InstrumentedModel"')
-    
-    if config.use_w and not 'StyleGAN' in config.model:
-        raise RuntimeError(f'Cannot change latent space of non-StyleGAN model {config.model}')
-
-    transformer = get_estimator(config.estimator, config.components, config.sparsity)
-    dump_name = "{}-{}_{}_{}_n{}{}{}.npz".format(
-        config.model.lower(),
-        config.output_class.replace(' ', '_'),
-        config.layer.lower(),
-        transformer.get_param_str(),
-        config.n,
-        '_w' if config.use_w else '',
-        f'_seed{config.seed}' if config.seed else ''
-    )
-
-    dump_path = basedir / 'cache' / 'components' / dump_name
-
-    if not dump_path.is_file() or force_recompute:
-        print('Not cached')
-        t_start = datetime.datetime.now()
-        compute(config, dump_path, model)
-        print('Total time:', datetime.datetime.now() - t_start)
-    
-    return dump_path
\ No newline at end of file
diff --git a/spaces/mfrashad/ClothingGAN/models/stylegan/stylegan_tf/metrics/__init__.py b/spaces/mfrashad/ClothingGAN/models/stylegan/stylegan_tf/metrics/__init__.py
deleted file mode 100644
index db8124b132f91216c0ded226f20ea3a046734728..0000000000000000000000000000000000000000
--- a/spaces/mfrashad/ClothingGAN/models/stylegan/stylegan_tf/metrics/__init__.py
+++ /dev/null
@@ -1,8 +0,0 @@
-# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
-#
-# This work is licensed under the Creative Commons Attribution-NonCommercial
-# 4.0 International License. To view a copy of this license, visit
-# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
-# Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
-
-# empty
diff --git a/spaces/mikeee/convbot/README1.md b/spaces/mikeee/convbot/README1.md
deleted file mode 100644
index 5a480e1aaf7ef5e1d7d91a88025bce222a0a7fb5..0000000000000000000000000000000000000000
--- a/spaces/mikeee/convbot/README1.md
+++ /dev/null
@@ -1,60 +0,0 @@
-# convbot
-[![tests](https://github.com/ffreemt/convbot/actions/workflows/routine-tests.yml/badge.svg)](https://github.com/ffreemt/convbot/actions)[![python](https://img.shields.io/static/v1?label=python+&message=3.7%2B&color=blue)](https://img.shields.io/static/v1?label=python+&message=3.7%2B&color=blue)[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)[![PyPI version](https://badge.fury.io/py/convbot.svg)](https://badge.fury.io/py/convbot)
-
-A conversational bot based on microsoft/DialoGPT-medium
-
-Try it out [![Open convbot-demo.ipynb In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ffreemt/convbot/blob/master/convbot_demo.ipynb)
-
-## Install it
-
-```shell
-pip install convbot
-# or poetry add convbot
-# pip install git+htts://github.com/ffreemt/convbot
-# poetry add git+htts://github.com/ffreemt/convbot
-
-# To upgrade
-pip install convbot -U
-# or poetry add convbot@latest
-```
-
-## Use it
-```python
-from convbot import convbot
-
-prin(convertbot("How are you?"))
-# I am good  # or along that line
-```
-
-The async version `aconvbot`, potentially for `fastapi` or `Nonebot` plugins and such,  is rather artificial since it's based on `ThreadPoolExecutor`. Hence it's not intended for production. You probably should not spawn too many instances.
-```python
-from convbot import aconvbot
-
-async def afunc(text):
-    resp = await aconvbot(text)
-    ...
-```
-
-Interactive
-
-```bash
-python -m convbot
-```
-
-    2021-07-24 03:11:19.748518: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0
-    Bot: Talk to me (type quit to exit)
-    You: How are you?
-    Bot:  I'm good, you?
-    You: pretty good. how is the weather there?
-    Bot:  It's pretty cold.
-    You: really?
-    Bot:  I don't have a heat source.
-    You:
-
-## Colab testrun `convbot-demo.ipynb`
-
-[![Open convbot-demo.ipynb In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/ffreemt/convbot/blob/master/convbot_demo.ipynb)
-
-## Not tested in Windows 10 and Mac
-
-The module uses pytorch that is installed differently in Windows than in Linux. To run `convbot` in Windows or Mac, you may give it a spin  by cloning the repo (git clone [https://github.com/ffreemt/convbot](https://github.com/ffreemt/convbot)) and installing pytorch manually.
diff --git a/spaces/mipbkhn/SmartGPTpublic/README.md b/spaces/mipbkhn/SmartGPTpublic/README.md
deleted file mode 100644
index 713f64ba8adb5cb9a1cc9730283cef9ca061f721..0000000000000000000000000000000000000000
--- a/spaces/mipbkhn/SmartGPTpublic/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: SmartGPTpublic
-emoji: 🐢
-colorFrom: blue
-colorTo: yellow
-sdk: gradio
-sdk_version: 3.47.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/miyaaa666/bingo/src/components/toaster.tsx b/spaces/miyaaa666/bingo/src/components/toaster.tsx
deleted file mode 100644
index 4d2693460b61307a1d4c127fd01df9bee16e59ff..0000000000000000000000000000000000000000
--- a/spaces/miyaaa666/bingo/src/components/toaster.tsx
+++ /dev/null
@@ -1,3 +0,0 @@
-'use client'
-
-export { Toaster } from 'react-hot-toast'
diff --git a/spaces/mjdolan/Holiday-StyleGAN-NADA/e4e/scripts/train.py b/spaces/mjdolan/Holiday-StyleGAN-NADA/e4e/scripts/train.py
deleted file mode 100644
index d885cfde49a0b21140e663e475918698d5e51ee3..0000000000000000000000000000000000000000
--- a/spaces/mjdolan/Holiday-StyleGAN-NADA/e4e/scripts/train.py
+++ /dev/null
@@ -1,88 +0,0 @@
-"""
-This file runs the main training/val loop
-"""
-import os
-import json
-import math
-import sys
-import pprint
-import torch
-from argparse import Namespace
-
-sys.path.append(".")
-sys.path.append("..")
-
-from options.train_options import TrainOptions
-from training.coach import Coach
-
-
-def main():
-	opts = TrainOptions().parse()
-	previous_train_ckpt = None
-	if opts.resume_training_from_ckpt:
-		opts, previous_train_ckpt = load_train_checkpoint(opts)
-	else:
-		setup_progressive_steps(opts)
-		create_initial_experiment_dir(opts)
-
-	coach = Coach(opts, previous_train_ckpt)
-	coach.train()
-
-
-def load_train_checkpoint(opts):
-	train_ckpt_path = opts.resume_training_from_ckpt
-	previous_train_ckpt = torch.load(opts.resume_training_from_ckpt, map_location='cpu')
-	new_opts_dict = vars(opts)
-	opts = previous_train_ckpt['opts']
-	opts['resume_training_from_ckpt'] = train_ckpt_path
-	update_new_configs(opts, new_opts_dict)
-	pprint.pprint(opts)
-	opts = Namespace(**opts)
-	if opts.sub_exp_dir is not None:
-		sub_exp_dir = opts.sub_exp_dir
-		opts.exp_dir = os.path.join(opts.exp_dir, sub_exp_dir)
-		create_initial_experiment_dir(opts)
-	return opts, previous_train_ckpt
-
-
-def setup_progressive_steps(opts):
-	log_size = int(math.log(opts.stylegan_size, 2))
-	num_style_layers = 2*log_size - 2
-	num_deltas = num_style_layers - 1
-	if opts.progressive_start is not None:  # If progressive delta training
-		opts.progressive_steps = [0]
-		next_progressive_step = opts.progressive_start
-		for i in range(num_deltas):
-			opts.progressive_steps.append(next_progressive_step)
-			next_progressive_step += opts.progressive_step_every
-
-	assert opts.progressive_steps is None or is_valid_progressive_steps(opts, num_style_layers), \
-		"Invalid progressive training input"
-
-
-def is_valid_progressive_steps(opts, num_style_layers):
-	return len(opts.progressive_steps) == num_style_layers and opts.progressive_steps[0] == 0
-
-
-def create_initial_experiment_dir(opts):
-	if os.path.exists(opts.exp_dir):
-		raise Exception('Oops... {} already exists'.format(opts.exp_dir))
-	os.makedirs(opts.exp_dir)
-
-	opts_dict = vars(opts)
-	pprint.pprint(opts_dict)
-	with open(os.path.join(opts.exp_dir, 'opt.json'), 'w') as f:
-		json.dump(opts_dict, f, indent=4, sort_keys=True)
-
-
-def update_new_configs(ckpt_opts, new_opts):
-	for k, v in new_opts.items():
-		if k not in ckpt_opts:
-			ckpt_opts[k] = v
-	if new_opts['update_param_list']:
-		for param in new_opts['update_param_list']:
-			ckpt_opts[param] = new_opts[param]
-
-
-if __name__ == '__main__':
-	main()
diff --git a/spaces/mrneuralnet/P-DFD/utils/nms/py_cpu_nms.py b/spaces/mrneuralnet/P-DFD/utils/nms/py_cpu_nms.py
deleted file mode 100644
index 54e7b25fef72b518df6dcf8d6fb78b986796c6e3..0000000000000000000000000000000000000000
--- a/spaces/mrneuralnet/P-DFD/utils/nms/py_cpu_nms.py
+++ /dev/null
@@ -1,38 +0,0 @@
-# --------------------------------------------------------
-# Fast R-CNN
-# Copyright (c) 2015 Microsoft
-# Licensed under The MIT License [see LICENSE for details]
-# Written by Ross Girshick
-# --------------------------------------------------------
-
-import numpy as np
-
-def py_cpu_nms(dets, thresh):
-    """Pure Python NMS baseline."""
-    x1 = dets[:, 0]
-    y1 = dets[:, 1]
-    x2 = dets[:, 2]
-    y2 = dets[:, 3]
-    scores = dets[:, 4]
-
-    areas = (x2 - x1 + 1) * (y2 - y1 + 1)
-    order = scores.argsort()[::-1]
-
-    keep = []
-    while order.size > 0:
-        i = order[0]
-        keep.append(i)
-        xx1 = np.maximum(x1[i], x1[order[1:]])
-        yy1 = np.maximum(y1[i], y1[order[1:]])
-        xx2 = np.minimum(x2[i], x2[order[1:]])
-        yy2 = np.minimum(y2[i], y2[order[1:]])
-
-        w = np.maximum(0.0, xx2 - xx1 + 1)
-        h = np.maximum(0.0, yy2 - yy1 + 1)
-        inter = w * h
-        ovr = inter / (areas[i] + areas[order[1:]] - inter)
-
-        inds = np.where(ovr <= thresh)[0]
-        order = order[inds + 1]
-
-    return keep
diff --git a/spaces/mshukor/UnIVAL/fairseq/examples/speech_to_text/prep_mustc_data.py b/spaces/mshukor/UnIVAL/fairseq/examples/speech_to_text/prep_mustc_data.py
deleted file mode 100644
index 3f0d3fcbd9437999f86d5a39e3d18ba9669f5894..0000000000000000000000000000000000000000
--- a/spaces/mshukor/UnIVAL/fairseq/examples/speech_to_text/prep_mustc_data.py
+++ /dev/null
@@ -1,291 +0,0 @@
-#!/usr/bin/env python3
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-import argparse
-import logging
-import os
-from pathlib import Path
-import shutil
-from itertools import groupby
-from tempfile import NamedTemporaryFile
-from typing import Tuple
-
-import numpy as np
-import pandas as pd
-import soundfile as sf
-from examples.speech_to_text.data_utils import (
-    create_zip,
-    extract_fbank_features,
-    filter_manifest_df,
-    gen_config_yaml,
-    gen_vocab,
-    get_zip_manifest,
-    load_df_from_tsv,
-    save_df_to_tsv,
-    cal_gcmvn_stats,
-)
-import torch
-from torch.utils.data import Dataset
-from tqdm import tqdm
-
-from fairseq.data.audio.audio_utils import get_waveform, convert_waveform
-
-
-log = logging.getLogger(__name__)
-
-
-MANIFEST_COLUMNS = ["id", "audio", "n_frames", "tgt_text", "speaker"]
-
-
-class MUSTC(Dataset):
-    """
-    Create a Dataset for MuST-C. Each item is a tuple of the form:
-    waveform, sample_rate, source utterance, target utterance, speaker_id,
-    utterance_id
-    """
-
-    SPLITS = ["train", "dev", "tst-COMMON", "tst-HE"]
-    LANGUAGES = ["de", "es", "fr", "it", "nl", "pt", "ro", "ru"]
-
-    def __init__(self, root: str, lang: str, split: str) -> None:
-        assert split in self.SPLITS and lang in self.LANGUAGES
-        _root = Path(root) / f"en-{lang}" / "data" / split
-        wav_root, txt_root = _root / "wav", _root / "txt"
-        assert _root.is_dir() and wav_root.is_dir() and txt_root.is_dir()
-        # Load audio segments
-        try:
-            import yaml
-        except ImportError:
-            print("Please install PyYAML to load the MuST-C YAML files")
-        with open(txt_root / f"{split}.yaml") as f:
-            segments = yaml.load(f, Loader=yaml.BaseLoader)
-        # Load source and target utterances
-        for _lang in ["en", lang]:
-            with open(txt_root / f"{split}.{_lang}") as f:
-                utterances = [r.strip() for r in f]
-            assert len(segments) == len(utterances)
-            for i, u in enumerate(utterances):
-                segments[i][_lang] = u
-        # Gather info
-        self.data = []
-        for wav_filename, _seg_group in groupby(segments, lambda x: x["wav"]):
-            wav_path = wav_root / wav_filename
-            sample_rate = sf.info(wav_path.as_posix()).samplerate
-            seg_group = sorted(_seg_group, key=lambda x: x["offset"])
-            for i, segment in enumerate(seg_group):
-                offset = int(float(segment["offset"]) * sample_rate)
-                n_frames = int(float(segment["duration"]) * sample_rate)
-                _id = f"{wav_path.stem}_{i}"
-                self.data.append(
-                    (
-                        wav_path.as_posix(),
-                        offset,
-                        n_frames,
-                        sample_rate,
-                        segment["en"],
-                        segment[lang],
-                        segment["speaker_id"],
-                        _id,
-                    )
-                )
-
-    def __getitem__(
-            self, n: int
-    ) -> Tuple[torch.Tensor, int, str, str, str, str]:
-        wav_path, offset, n_frames, sr, src_utt, tgt_utt, spk_id, \
-            utt_id = self.data[n]
-        waveform, _ = get_waveform(wav_path, frames=n_frames, start=offset)
-        waveform = torch.from_numpy(waveform)
-        return waveform, sr, src_utt, tgt_utt, spk_id, utt_id
-
-    def __len__(self) -> int:
-        return len(self.data)
-
-
-def process(args):
-    root = Path(args.data_root).absolute()
-    for lang in MUSTC.LANGUAGES:
-        cur_root = root / f"en-{lang}"
-        if not cur_root.is_dir():
-            print(f"{cur_root.as_posix()} does not exist. Skipped.")
-            continue
-        # Extract features
-        audio_root = cur_root / ("flac" if args.use_audio_input else "fbank80")
-        audio_root.mkdir(exist_ok=True)
-
-        for split in MUSTC.SPLITS:
-            print(f"Fetching split {split}...")
-            dataset = MUSTC(root.as_posix(), lang, split)
-            if args.use_audio_input:
-                print("Converting audios...")
-                for waveform, sample_rate, _, _, _, utt_id in tqdm(dataset):
-                    tgt_sample_rate = 16_000
-                    _wavform, _ = convert_waveform(
-                        waveform, sample_rate, to_mono=True,
-                        to_sample_rate=tgt_sample_rate
-                    )
-                    sf.write(
-                        (audio_root / f"{utt_id}.flac").as_posix(),
-                        _wavform.numpy(), tgt_sample_rate
-                    )
-            else:
-                print("Extracting log mel filter bank features...")
-                gcmvn_feature_list = []
-                if split == 'train' and args.cmvn_type == "global":
-                    print("And estimating cepstral mean and variance stats...")
-
-                for waveform, sample_rate, _, _, _, utt_id in tqdm(dataset):
-                    features = extract_fbank_features(
-                        waveform, sample_rate, audio_root / f"{utt_id}.npy"
-                    )
-                    if split == 'train' and args.cmvn_type == "global":
-                        if len(gcmvn_feature_list) < args.gcmvn_max_num:
-                            gcmvn_feature_list.append(features)
-
-                if split == 'train' and args.cmvn_type == "global":
-                    # Estimate and save cmv
-                    stats = cal_gcmvn_stats(gcmvn_feature_list)
-                    with open(cur_root / "gcmvn.npz", "wb") as f:
-                        np.savez(f, mean=stats["mean"], std=stats["std"])
-
-        # Pack features into ZIP
-        zip_path = cur_root / f"{audio_root.name}.zip"
-        print("ZIPing audios/features...")
-        create_zip(audio_root, zip_path)
-        print("Fetching ZIP manifest...")
-        audio_paths, audio_lengths = get_zip_manifest(zip_path)
-        # Generate TSV manifest
-        print("Generating manifest...")
-        train_text = []
-        for split in MUSTC.SPLITS:
-            is_train_split = split.startswith("train")
-            manifest = {c: [] for c in MANIFEST_COLUMNS}
-            dataset = MUSTC(args.data_root, lang, split)
-            for _, _, src_utt, tgt_utt, speaker_id, utt_id in tqdm(dataset):
-                manifest["id"].append(utt_id)
-                manifest["audio"].append(audio_paths[utt_id])
-                manifest["n_frames"].append(audio_lengths[utt_id])
-                manifest["tgt_text"].append(
-                    src_utt if args.task == "asr" else tgt_utt
-                )
-                manifest["speaker"].append(speaker_id)
-            if is_train_split:
-                train_text.extend(manifest["tgt_text"])
-            df = pd.DataFrame.from_dict(manifest)
-            df = filter_manifest_df(df, is_train_split=is_train_split)
-            save_df_to_tsv(df, cur_root / f"{split}_{args.task}.tsv")
-        # Generate vocab
-        v_size_str = "" if args.vocab_type == "char" else str(args.vocab_size)
-        spm_filename_prefix = f"spm_{args.vocab_type}{v_size_str}_{args.task}"
-        with NamedTemporaryFile(mode="w") as f:
-            for t in train_text:
-                f.write(t + "\n")
-            gen_vocab(
-                Path(f.name),
-                cur_root / spm_filename_prefix,
-                args.vocab_type,
-                args.vocab_size,
-            )
-        # Generate config YAML
-        if args.use_audio_input:
-            gen_config_yaml(
-                cur_root,
-                spm_filename=spm_filename_prefix + ".model",
-                yaml_filename=f"config_{args.task}.yaml",
-                specaugment_policy=None,
-                extra={"use_audio_input": True}
-            )
-        else:
-            gen_config_yaml(
-                cur_root,
-                spm_filename=spm_filename_prefix + ".model",
-                yaml_filename=f"config_{args.task}.yaml",
-                specaugment_policy="lb",
-                cmvn_type=args.cmvn_type,
-                gcmvn_path=(
-                    cur_root / "gcmvn.npz" if args.cmvn_type == "global"
-                    else None
-                ),
-            )
-        # Clean up
-        shutil.rmtree(audio_root)
-
-
-def process_joint(args):
-    cur_root = Path(args.data_root)
-    assert all(
-        (cur_root / f"en-{lang}").is_dir() for lang in MUSTC.LANGUAGES
-    ), "do not have downloaded data available for all 8 languages"
-    # Generate vocab
-    vocab_size_str = "" if args.vocab_type == "char" else str(args.vocab_size)
-    spm_filename_prefix = f"spm_{args.vocab_type}{vocab_size_str}_{args.task}"
-    with NamedTemporaryFile(mode="w") as f:
-        for lang in MUSTC.LANGUAGES:
-            tsv_path = cur_root / f"en-{lang}" / f"train_{args.task}.tsv"
-            df = load_df_from_tsv(tsv_path)
-            for t in df["tgt_text"]:
-                f.write(t + "\n")
-        special_symbols = None
-        if args.task == 'st':
-            special_symbols = [f'<lang:{lang}>' for lang in MUSTC.LANGUAGES]
-        gen_vocab(
-            Path(f.name),
-            cur_root / spm_filename_prefix,
-            args.vocab_type,
-            args.vocab_size,
-            special_symbols=special_symbols
-        )
-    # Generate config YAML
-    gen_config_yaml(
-        cur_root,
-        spm_filename=spm_filename_prefix + ".model",
-        yaml_filename=f"config_{args.task}.yaml",
-        specaugment_policy="ld",
-        prepend_tgt_lang_tag=(args.task == "st"),
-    )
-    # Make symbolic links to manifests
-    for lang in MUSTC.LANGUAGES:
-        for split in MUSTC.SPLITS:
-            src_path = cur_root / f"en-{lang}" / f"{split}_{args.task}.tsv"
-            desc_path = cur_root / f"{split}_{lang}_{args.task}.tsv"
-            if not desc_path.is_symlink():
-                os.symlink(src_path, desc_path)
-
-
-def main():
-    parser = argparse.ArgumentParser()
-    parser.add_argument("--data-root", "-d", required=True, type=str)
-    parser.add_argument(
-        "--vocab-type",
-        default="unigram",
-        required=True,
-        type=str,
-        choices=["bpe", "unigram", "char"],
-    ),
-    parser.add_argument("--vocab-size", default=8000, type=int)
-    parser.add_argument("--task", type=str, choices=["asr", "st"])
-    parser.add_argument("--joint", action="store_true", help="")
-    parser.add_argument(
-        "--cmvn-type", default="utterance",
-        choices=["global", "utterance"],
-        help="The type of cepstral mean and variance normalization"
-    )
-    parser.add_argument(
-        "--gcmvn-max-num", default=150000, type=int,
-        help="Maximum number of sentences to use to estimate global mean and "
-             "variance"
-        )
-    parser.add_argument("--use-audio-input", action="store_true")
-    args = parser.parse_args()
-
-    if args.joint:
-        process_joint(args)
-    else:
-        process(args)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/spaces/mshukor/UnIVAL/fairseq/examples/wav2vec/unsupervised/scripts/normalize_text.py b/spaces/mshukor/UnIVAL/fairseq/examples/wav2vec/unsupervised/scripts/normalize_text.py
deleted file mode 100644
index 9d0ffeb27d038a6b82aaf0f6bdf208af565663f6..0000000000000000000000000000000000000000
--- a/spaces/mshukor/UnIVAL/fairseq/examples/wav2vec/unsupervised/scripts/normalize_text.py
+++ /dev/null
@@ -1,22 +0,0 @@
-#!/usr/bin/env python3
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-import regex
-import sys
-
-
-def main():
-    filter_r = regex.compile(r"[^\p{L}\p{N}\p{M}\' \-]")
-
-    for line in sys.stdin:
-        line = line.strip()
-        line = filter_r.sub(" ", line)
-        line = " ".join(line.split())
-        print(line)
-
-
-if __name__ == "__main__":
-    main()
diff --git a/spaces/mshukor/UnIVAL/fairseq/fairseq/data/huffman/__init__.py b/spaces/mshukor/UnIVAL/fairseq/fairseq/data/huffman/__init__.py
deleted file mode 100644
index 9b61fafadba28f65fe78a28b2099368b83cfcf41..0000000000000000000000000000000000000000
--- a/spaces/mshukor/UnIVAL/fairseq/fairseq/data/huffman/__init__.py
+++ /dev/null
@@ -1,21 +0,0 @@
-# Copyright (c) Facebook, Inc. and its affiliates.
-#
-# This source code is licensed under the MIT license found in the
-# LICENSE file in the root directory of this source tree.
-
-from .huffman_coder import HuffmanCodeBuilder, HuffmanCoder
-from .huffman_mmap_indexed_dataset import (
-    HuffmanMMapIndex,
-    HuffmanMMapIndexedDataset,
-    HuffmanMMapIndexedDatasetBuilder,
-    vocab_file_path,
-)
-
-__all__ = [
-    "HuffmanCoder",
-    "HuffmanCodeBuilder",
-    "HuffmanMMapIndexedDatasetBuilder",
-    "HuffmanMMapIndexedDataset",
-    "HuffmanMMapIndex",
-    "vocab_file_path",
-]
diff --git a/spaces/nihalbaig/BD-Vehicle-Detection/README.md b/spaces/nihalbaig/BD-Vehicle-Detection/README.md
deleted file mode 100644
index 4da9d27ea77acb5c38968f60afe086f175a9207a..0000000000000000000000000000000000000000
--- a/spaces/nihalbaig/BD-Vehicle-Detection/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: BD Vehicle Detection
-emoji: 🌍
-colorFrom: pink
-colorTo: blue
-sdk: gradio
-sdk_version: 3.19.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/noamelata/Nested-Diffusion/README.md b/spaces/noamelata/Nested-Diffusion/README.md
deleted file mode 100644
index 94c4147ca8348ef744f33e315e3b233c6964cfb4..0000000000000000000000000000000000000000
--- a/spaces/noamelata/Nested-Diffusion/README.md
+++ /dev/null
@@ -1,12 +0,0 @@
----
-title: Nested Diffusion
-emoji: 👁
-colorFrom: red
-colorTo: purple
-sdk: gradio
-sdk_version: 3.33.1
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/ntt123/WaveGRU-Text-To-Speech/sparse_matmul/compute/gru_gates_generic.h b/spaces/ntt123/WaveGRU-Text-To-Speech/sparse_matmul/compute/gru_gates_generic.h
deleted file mode 100644
index 691efb1f822e7f1e4862a99ef5ccb495fbc000d8..0000000000000000000000000000000000000000
--- a/spaces/ntt123/WaveGRU-Text-To-Speech/sparse_matmul/compute/gru_gates_generic.h
+++ /dev/null
@@ -1,97 +0,0 @@
-/*
- * Copyright 2021 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef LYRA_CODEC_SPARSE_MATMUL_COMPUTE_GRU_GATES_GENERIC_H_
-#define LYRA_CODEC_SPARSE_MATMUL_COMPUTE_GRU_GATES_GENERIC_H_
-
-#include "sparse_matmul/compute/ar_inputs.h"
-#include "sparse_matmul/numerics/fast_transcendentals.h"
-
-namespace csrblocksparse {
-
-constexpr int kGenericSIMDWidth = 4;
-
-// TODO(b/188702959): Rename arguments to match gru_gates.h.
-template <typename GRUStateType, typename GRUMatMulOutType, typename QR_W_Type,
-          typename SampleType, ARInputsMode kInputsMode,
-          bool SplitGates = false>
-void GoThroughGates(int start, int end, const QR_W_Type* qr_ptr,
-                    const GRUMatMulOutType* gru_gates_ptr,
-                    const GRUMatMulOutType* gru_gates_other_ptr,
-                    const GRUMatMulOutType* conditioning_ptr,
-                    GRUStateType* gru_h_ptr, const QR_W_Type* w_hat,
-                    int proj_size, const SampleType* coarse_at_sminus1,
-                    const SampleType* fine_at_sminus1,
-                    const SampleType* coarse_at_s = nullptr) {
-  float qr_cell = 0.0f, reset, update, cell;
-  for (int i = start; i < end; ++i) {
-    if (kInputsMode == ARInputsMode::k0ARInputs) {
-      reset = static_cast<float>(gru_gates_ptr[i]);
-      update = static_cast<float>(gru_gates_ptr[proj_size + i]);
-    } else {
-      float qr_c_reset = static_cast<float>(qr_ptr[2 * i + 0]);
-      float qr_f_reset = static_cast<float>(qr_ptr[2 * i + 1]);
-      float qr_c_update = static_cast<float>(qr_ptr[2 * proj_size + 2 * i + 0]);
-      float qr_f_update = static_cast<float>(qr_ptr[2 * proj_size + 2 * i + 1]);
-      float qr_c_cell = static_cast<float>(qr_ptr[4 * proj_size + 2 * i + 0]);
-      float qr_f_cell = static_cast<float>(qr_ptr[4 * proj_size + 2 * i + 1]);
-      float w_hat_i_reset = 0.0f;
-      float w_hat_i_update = 0.0f;
-      float w_hat_i_cell = 0.0f;
-      if (kInputsMode == ARInputsMode::k3ARInputs) {
-        w_hat_i_reset = static_cast<float>(w_hat[i]);
-        w_hat_i_update = static_cast<float>(w_hat[proj_size + i]);
-        w_hat_i_cell = static_cast<float>(w_hat[2 * proj_size + i]);
-      }
-      float coarse = static_cast<float>(coarse_at_sminus1[0]);
-      float fine = static_cast<float>(fine_at_sminus1[0]);
-      reset = qr_c_reset * coarse + qr_f_reset * fine;
-      update = qr_c_update * coarse + qr_f_update * fine;
-      qr_cell = qr_c_cell * coarse + qr_f_cell * fine;
-      if (kInputsMode == ARInputsMode::k3ARInputs) {
-        float coarse = static_cast<float>(coarse_at_s[0]);
-        reset += w_hat_i_reset * coarse;
-        update += w_hat_i_update * coarse;
-        qr_cell += w_hat_i_cell * coarse;
-      }
-      reset += static_cast<float>(gru_gates_ptr[i]);
-      update += static_cast<float>(gru_gates_ptr[proj_size + i]);
-    }
-    cell = static_cast<float>(gru_gates_ptr[2 * proj_size + i]);
-    if (SplitGates) {
-      reset += static_cast<float>(gru_gates_other_ptr[i]);
-      update += static_cast<float>(gru_gates_other_ptr[proj_size + i]);
-      cell += static_cast<float>(gru_gates_other_ptr[2 * proj_size + i]);
-    }
-    float reset_conditioning = static_cast<float>(conditioning_ptr[i]);
-    float update_conditioning =
-        static_cast<float>(conditioning_ptr[proj_size + i]);
-    float cell_conditioning =
-        static_cast<float>(conditioning_ptr[2 * proj_size + i]);
-    reset = fast_sigmoid(reset + reset_conditioning);
-    update = fast_sigmoid(update + update_conditioning);
-    float hbar = fast_tanh(qr_cell + reset * cell + cell_conditioning);
-    int h_index = i;
-    float prev_h = static_cast<float>(gru_h_ptr[h_index]);
-    float diff = prev_h - hbar;
-    float new_h = hbar + diff * update;
-    gru_h_ptr[h_index] = static_cast<GRUStateType>(new_h);
-  }
-}
-
-}  // namespace csrblocksparse
-
-#endif  // LYRA_CODEC_SPARSE_MATMUL_COMPUTE_GRU_GATES_GENERIC_H_
diff --git a/spaces/ntt123/WaveGRU-Text-To-Speech/sparse_matmul/sparse_matmul.h b/spaces/ntt123/WaveGRU-Text-To-Speech/sparse_matmul/sparse_matmul.h
deleted file mode 100644
index dc50727861248bb8ffec0015d800987c518d762b..0000000000000000000000000000000000000000
--- a/spaces/ntt123/WaveGRU-Text-To-Speech/sparse_matmul/sparse_matmul.h
+++ /dev/null
@@ -1,34 +0,0 @@
-/*
- * Copyright 2021 Google LLC
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *      http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef LYRA_CODEC_SPARSE_MATMUL_SPARSE_MATMUL_H_
-#define LYRA_CODEC_SPARSE_MATMUL_SPARSE_MATMUL_H_
-
-// IWYU pragma: begin_exports
-#include "sparse_matmul/compute/gru_gates.h"
-#include "sparse_matmul/layers/csr_blocksparse_matrix.h"
-#include "sparse_matmul/layers/masked_sparse_matrix.h"
-#include "sparse_matmul/layers/sparse_linear_layer.h"
-#include "sparse_matmul/layers/utils.h"
-#include "sparse_matmul/numerics/fast_transcendentals.h"
-#include "sparse_matmul/numerics/fixed_types.h"
-#include "sparse_matmul/numerics/float16_types.h"
-#include "sparse_matmul/numerics/type_utils.h"
-#include "sparse_matmul/os/coop_threads.h"
-#include "sparse_matmul/vector/cache_aligned_vector.h"
-// IWYU pragma: end_exports
-
-#endif  // LYRA_CODEC_SPARSE_MATMUL_SPARSE_MATMUL_H_
diff --git a/spaces/nwpuwolf/succinctly-text2image-prompt-generator/app.py b/spaces/nwpuwolf/succinctly-text2image-prompt-generator/app.py
deleted file mode 100644
index 6236186cf4e23d7670a3ed158d005e5c98358b28..0000000000000000000000000000000000000000
--- a/spaces/nwpuwolf/succinctly-text2image-prompt-generator/app.py
+++ /dev/null
@@ -1,3 +0,0 @@
-import gradio as gr
-
-gr.Interface.load("models/succinctly/text2image-prompt-generator").launch()
\ No newline at end of file
diff --git a/spaces/oguzakif/video-object-remover/SiamMask/experiments/siammask_base/test.sh b/spaces/oguzakif/video-object-remover/SiamMask/experiments/siammask_base/test.sh
deleted file mode 100644
index 3ae03cc1311243b8658cae415986e7652d6a4db8..0000000000000000000000000000000000000000
--- a/spaces/oguzakif/video-object-remover/SiamMask/experiments/siammask_base/test.sh
+++ /dev/null
@@ -1,22 +0,0 @@
-if [ -z "$3" ]
-  then
-    echo "Need input parameter!"
-    echo "Usage: bash `basename "$0"` \$MODEL \$DATASET \$GPUID"
-    exit
-fi
-
-ROOT=`git rev-parse --show-toplevel`
-export PYTHONPATH=$ROOT:$PYTHONPATH
-
-mkdir -p logs
-
-model=$1
-dataset=$2
-gpu=$3
-
-CUDA_VISIBLE_DEVICES=$gpu python -u $ROOT/tools/test.py \
-    --config config.json \
-    --resume $model \
-    --mask \
-    --dataset $dataset 2>&1 | tee logs/test.log
-
diff --git a/spaces/openflamingo/OpenFlamingo/open_flamingo/open_flamingo/eval/eval_model.py b/spaces/openflamingo/OpenFlamingo/open_flamingo/open_flamingo/eval/eval_model.py
deleted file mode 100644
index b35dfbbba55cd663a463092c871e54351c22ceaf..0000000000000000000000000000000000000000
--- a/spaces/openflamingo/OpenFlamingo/open_flamingo/open_flamingo/eval/eval_model.py
+++ /dev/null
@@ -1,73 +0,0 @@
-import abc
-import argparse
-from typing import List
-from torch.nn.parallel import DistributedDataParallel as DDP
-from PIL import Image
-
-
-class BaseEvalModel(abc.ABC):
-    """Base class encapsulating functionality needed to evaluate a model."""
-
-    def __init__(self, args: List[str]):
-        """Initialize model.
-
-        Args:
-            args: arguments to model. These should be parsed, or if the model
-                has no applicable arguments, an error should be thrown if `args`
-                is non-empty.
-        """
-
-    def init_distributed(self):
-        """Wrap model as DDP."""
-        self.model = DDP(self.model, device_ids=[self.device])
-
-    def set_device(self, device):
-        """Set device for model."""
-        self.device = device
-        self.model = self.model.to(device)
-
-    def get_outputs(
-        self,
-        batch_text: List[str],
-        batch_images: List[List[Image.Image]],
-        min_generation_length: int,
-        max_generation_length: int,
-        num_beams: int,
-        length_penalty: float,
-    ) -> List[str]:
-        """Get outputs for a batch of images and text.
-
-        Args:
-            batch_text: list of text strings, with the text "<image>" in place
-                of any images to be included.
-            batch_images: images to provide to model. Should be a list of lists,
-              where each list contains the images for a single example.
-            max_generation_length: maximum length of the generated caption.
-                Defaults to 10.
-            num_beams: number of beams to use for beam search. Defaults to 3.
-            length_penalty: length penalty for beam search. Defaults to -2.0.
-
-        Returns:
-            List of decoded output strings.
-        """
-
-    def vqa_prompt(self, question, answer=None) -> str:
-        """Get the prompt to use for VQA evaluation. If the answer is not provided, it should be left blank to be generated by the model.
-
-        Returns:
-            The prompt to use for VQA.
-        """
-
-    def caption_prompt(self, caption=None) -> str:
-        """Get the prompt to use for caption evaluation. If the caption is not provided, it should be left blank to be generated by the model.
-
-        Returns:
-            The prompt to use for captioning.
-        """
-
-    def classification_prompt(self, class_str=None) -> str:
-        """Get the prompt to use for classification evaluation. If the class_str is not provided, it should be left blank to be generated by the model.
-
-        Returns:
-            The prompt to use for classification.
-        """
diff --git a/spaces/oyyy/TeleGPT/README.md b/spaces/oyyy/TeleGPT/README.md
deleted file mode 100644
index 8715de5b3456bf992d489dd34dc4b257d9d62c9a..0000000000000000000000000000000000000000
--- a/spaces/oyyy/TeleGPT/README.md
+++ /dev/null
@@ -1,11 +0,0 @@
----
-title: TeleGPT
-emoji: 🐢
-colorFrom: pink
-colorTo: yellow
-sdk: static
-pinned: false
-license: openrail
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/pablodawson/ldm3d-inpainting/diffuserslocal/docker/diffusers-onnxruntime-cuda/Dockerfile b/spaces/pablodawson/ldm3d-inpainting/diffuserslocal/docker/diffusers-onnxruntime-cuda/Dockerfile
deleted file mode 100644
index 2129dbcaf68c57755485e1e54e867af05b937336..0000000000000000000000000000000000000000
--- a/spaces/pablodawson/ldm3d-inpainting/diffuserslocal/docker/diffusers-onnxruntime-cuda/Dockerfile
+++ /dev/null
@@ -1,44 +0,0 @@
-FROM nvidia/cuda:11.6.2-cudnn8-devel-ubuntu20.04
-LABEL maintainer="Hugging Face"
-LABEL repository="diffusers"
-
-ENV DEBIAN_FRONTEND=noninteractive
-
-RUN apt update && \
-    apt install -y bash \
-                   build-essential \
-                   git \
-                   git-lfs \
-                   curl \
-                   ca-certificates \
-                   libsndfile1-dev \
-                   python3.8 \
-                   python3-pip \
-                   python3.8-venv && \
-    rm -rf /var/lib/apt/lists
-
-# make sure to use venv
-RUN python3 -m venv /opt/venv
-ENV PATH="/opt/venv/bin:$PATH"
-
-# pre-install the heavy dependencies (these can later be overridden by the deps from setup.py)
-RUN python3 -m pip install --no-cache-dir --upgrade pip && \
-    python3 -m pip install --no-cache-dir \
-        torch \
-        torchvision \
-        torchaudio \
-        "onnxruntime-gpu>=1.13.1" \
-        --extra-index-url https://download.pytorch.org/whl/cu117 && \
-    python3 -m pip install --no-cache-dir \
-        accelerate \
-        datasets \
-        hf-doc-builder \
-        huggingface-hub \
-        Jinja2 \
-        librosa \
-        numpy \
-        scipy \
-        tensorboard \
-        transformers
-
-CMD ["/bin/bash"]
\ No newline at end of file
diff --git a/spaces/pablodawson/ldm3d-inpainting/diffuserslocal/src/diffusers/models/unet_3d_condition.py b/spaces/pablodawson/ldm3d-inpainting/diffuserslocal/src/diffusers/models/unet_3d_condition.py
deleted file mode 100644
index 58c848fdb97fd26645554ad641ff190a6731ec01..0000000000000000000000000000000000000000
--- a/spaces/pablodawson/ldm3d-inpainting/diffuserslocal/src/diffusers/models/unet_3d_condition.py
+++ /dev/null
@@ -1,642 +0,0 @@
-# Copyright 2023 Alibaba DAMO-VILAB and The HuggingFace Team. All rights reserved.
-# Copyright 2023 The ModelScope Team.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from dataclasses import dataclass
-from typing import Any, Dict, List, Optional, Tuple, Union
-
-import torch
-import torch.nn as nn
-import torch.utils.checkpoint
-
-from ..configuration_utils import ConfigMixin, register_to_config
-from ..loaders import UNet2DConditionLoadersMixin
-from ..utils import BaseOutput, logging
-from .attention_processor import (
-    ADDED_KV_ATTENTION_PROCESSORS,
-    CROSS_ATTENTION_PROCESSORS,
-    AttentionProcessor,
-    AttnAddedKVProcessor,
-    AttnProcessor,
-)
-from .embeddings import TimestepEmbedding, Timesteps
-from .modeling_utils import ModelMixin
-from .transformer_temporal import TransformerTemporalModel
-from .unet_3d_blocks import (
-    CrossAttnDownBlock3D,
-    CrossAttnUpBlock3D,
-    DownBlock3D,
-    UNetMidBlock3DCrossAttn,
-    UpBlock3D,
-    get_down_block,
-    get_up_block,
-)
-
-
-logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
-
-
-@dataclass
-class UNet3DConditionOutput(BaseOutput):
-    """
-    The output of [`UNet3DConditionModel`].
-
-    Args:
-        sample (`torch.FloatTensor` of shape `(batch_size, num_frames, num_channels, height, width)`):
-            The hidden states output conditioned on `encoder_hidden_states` input. Output of last layer of model.
-    """
-
-    sample: torch.FloatTensor
-
-
-class UNet3DConditionModel(ModelMixin, ConfigMixin, UNet2DConditionLoadersMixin):
-    r"""
-    A conditional 3D UNet model that takes a noisy sample, conditional state, and a timestep and returns a sample
-    shaped output.
-
-    This model inherits from [`ModelMixin`]. Check the superclass documentation for it's generic methods implemented
-    for all models (such as downloading or saving).
-
-    Parameters:
-        sample_size (`int` or `Tuple[int, int]`, *optional*, defaults to `None`):
-            Height and width of input/output sample.
-        in_channels (`int`, *optional*, defaults to 4): The number of channels in the input sample.
-        out_channels (`int`, *optional*, defaults to 4): The number of channels in the output.
-        down_block_types (`Tuple[str]`, *optional*, defaults to `("CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "DownBlock2D")`):
-            The tuple of downsample blocks to use.
-        up_block_types (`Tuple[str]`, *optional*, defaults to `("UpBlock2D", "CrossAttnUpBlock2D", "CrossAttnUpBlock2D", "CrossAttnUpBlock2D")`):
-            The tuple of upsample blocks to use.
-        block_out_channels (`Tuple[int]`, *optional*, defaults to `(320, 640, 1280, 1280)`):
-            The tuple of output channels for each block.
-        layers_per_block (`int`, *optional*, defaults to 2): The number of layers per block.
-        downsample_padding (`int`, *optional*, defaults to 1): The padding to use for the downsampling convolution.
-        mid_block_scale_factor (`float`, *optional*, defaults to 1.0): The scale factor to use for the mid block.
-        act_fn (`str`, *optional*, defaults to `"silu"`): The activation function to use.
-        norm_num_groups (`int`, *optional*, defaults to 32): The number of groups to use for the normalization.
-            If `None`, normalization and activation layers is skipped in post-processing.
-        norm_eps (`float`, *optional*, defaults to 1e-5): The epsilon to use for the normalization.
-        cross_attention_dim (`int`, *optional*, defaults to 1280): The dimension of the cross attention features.
-        attention_head_dim (`int`, *optional*, defaults to 8): The dimension of the attention heads.
-        num_attention_heads (`int`, *optional*): The number of attention heads.
-    """
-
-    _supports_gradient_checkpointing = False
-
-    @register_to_config
-    def __init__(
-        self,
-        sample_size: Optional[int] = None,
-        in_channels: int = 4,
-        out_channels: int = 4,
-        down_block_types: Tuple[str] = (
-            "CrossAttnDownBlock3D",
-            "CrossAttnDownBlock3D",
-            "CrossAttnDownBlock3D",
-            "DownBlock3D",
-        ),
-        up_block_types: Tuple[str] = ("UpBlock3D", "CrossAttnUpBlock3D", "CrossAttnUpBlock3D", "CrossAttnUpBlock3D"),
-        block_out_channels: Tuple[int] = (320, 640, 1280, 1280),
-        layers_per_block: int = 2,
-        downsample_padding: int = 1,
-        mid_block_scale_factor: float = 1,
-        act_fn: str = "silu",
-        norm_num_groups: Optional[int] = 32,
-        norm_eps: float = 1e-5,
-        cross_attention_dim: int = 1024,
-        attention_head_dim: Union[int, Tuple[int]] = 64,
-        num_attention_heads: Optional[Union[int, Tuple[int]]] = None,
-    ):
-        super().__init__()
-
-        self.sample_size = sample_size
-
-        if num_attention_heads is not None:
-            raise NotImplementedError(
-                "At the moment it is not possible to define the number of attention heads via `num_attention_heads` because of a naming issue as described in https://github.com/huggingface/diffusers/issues/2011#issuecomment-1547958131. Passing `num_attention_heads` will only be supported in diffusers v0.19."
-            )
-
-        # If `num_attention_heads` is not defined (which is the case for most models)
-        # it will default to `attention_head_dim`. This looks weird upon first reading it and it is.
-        # The reason for this behavior is to correct for incorrectly named variables that were introduced
-        # when this library was created. The incorrect naming was only discovered much later in https://github.com/huggingface/diffusers/issues/2011#issuecomment-1547958131
-        # Changing `attention_head_dim` to `num_attention_heads` for 40,000+ configurations is too backwards breaking
-        # which is why we correct for the naming here.
-        num_attention_heads = num_attention_heads or attention_head_dim
-
-        # Check inputs
-        if len(down_block_types) != len(up_block_types):
-            raise ValueError(
-                f"Must provide the same number of `down_block_types` as `up_block_types`. `down_block_types`: {down_block_types}. `up_block_types`: {up_block_types}."
-            )
-
-        if len(block_out_channels) != len(down_block_types):
-            raise ValueError(
-                f"Must provide the same number of `block_out_channels` as `down_block_types`. `block_out_channels`: {block_out_channels}. `down_block_types`: {down_block_types}."
-            )
-
-        if not isinstance(num_attention_heads, int) and len(num_attention_heads) != len(down_block_types):
-            raise ValueError(
-                f"Must provide the same number of `num_attention_heads` as `down_block_types`. `num_attention_heads`: {num_attention_heads}. `down_block_types`: {down_block_types}."
-            )
-
-        # input
-        conv_in_kernel = 3
-        conv_out_kernel = 3
-        conv_in_padding = (conv_in_kernel - 1) // 2
-        self.conv_in = nn.Conv2d(
-            in_channels, block_out_channels[0], kernel_size=conv_in_kernel, padding=conv_in_padding
-        )
-
-        # time
-        time_embed_dim = block_out_channels[0] * 4
-        self.time_proj = Timesteps(block_out_channels[0], True, 0)
-        timestep_input_dim = block_out_channels[0]
-
-        self.time_embedding = TimestepEmbedding(
-            timestep_input_dim,
-            time_embed_dim,
-            act_fn=act_fn,
-        )
-
-        self.transformer_in = TransformerTemporalModel(
-            num_attention_heads=8,
-            attention_head_dim=attention_head_dim,
-            in_channels=block_out_channels[0],
-            num_layers=1,
-        )
-
-        # class embedding
-        self.down_blocks = nn.ModuleList([])
-        self.up_blocks = nn.ModuleList([])
-
-        if isinstance(num_attention_heads, int):
-            num_attention_heads = (num_attention_heads,) * len(down_block_types)
-
-        # down
-        output_channel = block_out_channels[0]
-        for i, down_block_type in enumerate(down_block_types):
-            input_channel = output_channel
-            output_channel = block_out_channels[i]
-            is_final_block = i == len(block_out_channels) - 1
-
-            down_block = get_down_block(
-                down_block_type,
-                num_layers=layers_per_block,
-                in_channels=input_channel,
-                out_channels=output_channel,
-                temb_channels=time_embed_dim,
-                add_downsample=not is_final_block,
-                resnet_eps=norm_eps,
-                resnet_act_fn=act_fn,
-                resnet_groups=norm_num_groups,
-                cross_attention_dim=cross_attention_dim,
-                num_attention_heads=num_attention_heads[i],
-                downsample_padding=downsample_padding,
-                dual_cross_attention=False,
-            )
-            self.down_blocks.append(down_block)
-
-        # mid
-        self.mid_block = UNetMidBlock3DCrossAttn(
-            in_channels=block_out_channels[-1],
-            temb_channels=time_embed_dim,
-            resnet_eps=norm_eps,
-            resnet_act_fn=act_fn,
-            output_scale_factor=mid_block_scale_factor,
-            cross_attention_dim=cross_attention_dim,
-            num_attention_heads=num_attention_heads[-1],
-            resnet_groups=norm_num_groups,
-            dual_cross_attention=False,
-        )
-
-        # count how many layers upsample the images
-        self.num_upsamplers = 0
-
-        # up
-        reversed_block_out_channels = list(reversed(block_out_channels))
-        reversed_num_attention_heads = list(reversed(num_attention_heads))
-
-        output_channel = reversed_block_out_channels[0]
-        for i, up_block_type in enumerate(up_block_types):
-            is_final_block = i == len(block_out_channels) - 1
-
-            prev_output_channel = output_channel
-            output_channel = reversed_block_out_channels[i]
-            input_channel = reversed_block_out_channels[min(i + 1, len(block_out_channels) - 1)]
-
-            # add upsample block for all BUT final layer
-            if not is_final_block:
-                add_upsample = True
-                self.num_upsamplers += 1
-            else:
-                add_upsample = False
-
-            up_block = get_up_block(
-                up_block_type,
-                num_layers=layers_per_block + 1,
-                in_channels=input_channel,
-                out_channels=output_channel,
-                prev_output_channel=prev_output_channel,
-                temb_channels=time_embed_dim,
-                add_upsample=add_upsample,
-                resnet_eps=norm_eps,
-                resnet_act_fn=act_fn,
-                resnet_groups=norm_num_groups,
-                cross_attention_dim=cross_attention_dim,
-                num_attention_heads=reversed_num_attention_heads[i],
-                dual_cross_attention=False,
-            )
-            self.up_blocks.append(up_block)
-            prev_output_channel = output_channel
-
-        # out
-        if norm_num_groups is not None:
-            self.conv_norm_out = nn.GroupNorm(
-                num_channels=block_out_channels[0], num_groups=norm_num_groups, eps=norm_eps
-            )
-            self.conv_act = nn.SiLU()
-        else:
-            self.conv_norm_out = None
-            self.conv_act = None
-
-        conv_out_padding = (conv_out_kernel - 1) // 2
-        self.conv_out = nn.Conv2d(
-            block_out_channels[0], out_channels, kernel_size=conv_out_kernel, padding=conv_out_padding
-        )
-
-    @property
-    # Copied from diffusers.models.unet_2d_condition.UNet2DConditionModel.attn_processors
-    def attn_processors(self) -> Dict[str, AttentionProcessor]:
-        r"""
-        Returns:
-            `dict` of attention processors: A dictionary containing all attention processors used in the model with
-            indexed by its weight name.
-        """
-        # set recursively
-        processors = {}
-
-        def fn_recursive_add_processors(name: str, module: torch.nn.Module, processors: Dict[str, AttentionProcessor]):
-            if hasattr(module, "get_processor"):
-                processors[f"{name}.processor"] = module.get_processor(return_deprecated_lora=True)
-
-            for sub_name, child in module.named_children():
-                fn_recursive_add_processors(f"{name}.{sub_name}", child, processors)
-
-            return processors
-
-        for name, module in self.named_children():
-            fn_recursive_add_processors(name, module, processors)
-
-        return processors
-
-    # Copied from diffusers.models.unet_2d_condition.UNet2DConditionModel.set_attention_slice
-    def set_attention_slice(self, slice_size):
-        r"""
-        Enable sliced attention computation.
-
-        When this option is enabled, the attention module splits the input tensor in slices to compute attention in
-        several steps. This is useful for saving some memory in exchange for a small decrease in speed.
-
-        Args:
-            slice_size (`str` or `int` or `list(int)`, *optional*, defaults to `"auto"`):
-                When `"auto"`, input to the attention heads is halved, so attention is computed in two steps. If
-                `"max"`, maximum amount of memory is saved by running only one slice at a time. If a number is
-                provided, uses as many slices as `attention_head_dim // slice_size`. In this case, `attention_head_dim`
-                must be a multiple of `slice_size`.
-        """
-        sliceable_head_dims = []
-
-        def fn_recursive_retrieve_sliceable_dims(module: torch.nn.Module):
-            if hasattr(module, "set_attention_slice"):
-                sliceable_head_dims.append(module.sliceable_head_dim)
-
-            for child in module.children():
-                fn_recursive_retrieve_sliceable_dims(child)
-
-        # retrieve number of attention layers
-        for module in self.children():
-            fn_recursive_retrieve_sliceable_dims(module)
-
-        num_sliceable_layers = len(sliceable_head_dims)
-
-        if slice_size == "auto":
-            # half the attention head size is usually a good trade-off between
-            # speed and memory
-            slice_size = [dim // 2 for dim in sliceable_head_dims]
-        elif slice_size == "max":
-            # make smallest slice possible
-            slice_size = num_sliceable_layers * [1]
-
-        slice_size = num_sliceable_layers * [slice_size] if not isinstance(slice_size, list) else slice_size
-
-        if len(slice_size) != len(sliceable_head_dims):
-            raise ValueError(
-                f"You have provided {len(slice_size)}, but {self.config} has {len(sliceable_head_dims)} different"
-                f" attention layers. Make sure to match `len(slice_size)` to be {len(sliceable_head_dims)}."
-            )
-
-        for i in range(len(slice_size)):
-            size = slice_size[i]
-            dim = sliceable_head_dims[i]
-            if size is not None and size > dim:
-                raise ValueError(f"size {size} has to be smaller or equal to {dim}.")
-
-        # Recursively walk through all the children.
-        # Any children which exposes the set_attention_slice method
-        # gets the message
-        def fn_recursive_set_attention_slice(module: torch.nn.Module, slice_size: List[int]):
-            if hasattr(module, "set_attention_slice"):
-                module.set_attention_slice(slice_size.pop())
-
-            for child in module.children():
-                fn_recursive_set_attention_slice(child, slice_size)
-
-        reversed_slice_size = list(reversed(slice_size))
-        for module in self.children():
-            fn_recursive_set_attention_slice(module, reversed_slice_size)
-
-    # Copied from diffusers.models.unet_2d_condition.UNet2DConditionModel.set_attn_processor
-    def set_attn_processor(self, processor: Union[AttentionProcessor, Dict[str, AttentionProcessor]]):
-        r"""
-        Sets the attention processor to use to compute attention.
-
-        Parameters:
-            processor (`dict` of `AttentionProcessor` or only `AttentionProcessor`):
-                The instantiated processor class or a dictionary of processor classes that will be set as the processor
-                for **all** `Attention` layers.
-
-                If `processor` is a dict, the key needs to define the path to the corresponding cross attention
-                processor. This is strongly recommended when setting trainable attention processors.
-
-        """
-        count = len(self.attn_processors.keys())
-
-        if isinstance(processor, dict) and len(processor) != count:
-            raise ValueError(
-                f"A dict of processors was passed, but the number of processors {len(processor)} does not match the"
-                f" number of attention layers: {count}. Please make sure to pass {count} processor classes."
-            )
-
-        def fn_recursive_attn_processor(name: str, module: torch.nn.Module, processor):
-            if hasattr(module, "set_processor"):
-                if not isinstance(processor, dict):
-                    module.set_processor(processor)
-                else:
-                    module.set_processor(processor.pop(f"{name}.processor"))
-
-            for sub_name, child in module.named_children():
-                fn_recursive_attn_processor(f"{name}.{sub_name}", child, processor)
-
-        for name, module in self.named_children():
-            fn_recursive_attn_processor(name, module, processor)
-
-    def enable_forward_chunking(self, chunk_size=None, dim=0):
-        """
-        Sets the attention processor to use [feed forward
-        chunking](https://huggingface.co/blog/reformer#2-chunked-feed-forward-layers).
-
-        Parameters:
-            chunk_size (`int`, *optional*):
-                The chunk size of the feed-forward layers. If not specified, will run feed-forward layer individually
-                over each tensor of dim=`dim`.
-            dim (`int`, *optional*, defaults to `0`):
-                The dimension over which the feed-forward computation should be chunked. Choose between dim=0 (batch)
-                or dim=1 (sequence length).
-        """
-        if dim not in [0, 1]:
-            raise ValueError(f"Make sure to set `dim` to either 0 or 1, not {dim}")
-
-        # By default chunk size is 1
-        chunk_size = chunk_size or 1
-
-        def fn_recursive_feed_forward(module: torch.nn.Module, chunk_size: int, dim: int):
-            if hasattr(module, "set_chunk_feed_forward"):
-                module.set_chunk_feed_forward(chunk_size=chunk_size, dim=dim)
-
-            for child in module.children():
-                fn_recursive_feed_forward(child, chunk_size, dim)
-
-        for module in self.children():
-            fn_recursive_feed_forward(module, chunk_size, dim)
-
-    def disable_forward_chunking(self):
-        def fn_recursive_feed_forward(module: torch.nn.Module, chunk_size: int, dim: int):
-            if hasattr(module, "set_chunk_feed_forward"):
-                module.set_chunk_feed_forward(chunk_size=chunk_size, dim=dim)
-
-            for child in module.children():
-                fn_recursive_feed_forward(child, chunk_size, dim)
-
-        for module in self.children():
-            fn_recursive_feed_forward(module, None, 0)
-
-    # Copied from diffusers.models.unet_2d_condition.UNet2DConditionModel.set_default_attn_processor
-    def set_default_attn_processor(self):
-        """
-        Disables custom attention processors and sets the default attention implementation.
-        """
-        if all(proc.__class__ in ADDED_KV_ATTENTION_PROCESSORS for proc in self.attn_processors.values()):
-            processor = AttnAddedKVProcessor()
-        elif all(proc.__class__ in CROSS_ATTENTION_PROCESSORS for proc in self.attn_processors.values()):
-            processor = AttnProcessor()
-        else:
-            raise ValueError(
-                f"Cannot call `set_default_attn_processor` when attention processors are of type {next(iter(self.attn_processors.values()))}"
-            )
-
-        self.set_attn_processor(processor)
-
-    def _set_gradient_checkpointing(self, module, value=False):
-        if isinstance(module, (CrossAttnDownBlock3D, DownBlock3D, CrossAttnUpBlock3D, UpBlock3D)):
-            module.gradient_checkpointing = value
-
-    def forward(
-        self,
-        sample: torch.FloatTensor,
-        timestep: Union[torch.Tensor, float, int],
-        encoder_hidden_states: torch.Tensor,
-        class_labels: Optional[torch.Tensor] = None,
-        timestep_cond: Optional[torch.Tensor] = None,
-        attention_mask: Optional[torch.Tensor] = None,
-        cross_attention_kwargs: Optional[Dict[str, Any]] = None,
-        down_block_additional_residuals: Optional[Tuple[torch.Tensor]] = None,
-        mid_block_additional_residual: Optional[torch.Tensor] = None,
-        return_dict: bool = True,
-    ) -> Union[UNet3DConditionOutput, Tuple]:
-        r"""
-        The [`UNet3DConditionModel`] forward method.
-
-        Args:
-            sample (`torch.FloatTensor`):
-                The noisy input tensor with the following shape `(batch, num_frames, channel, height, width`.
-            timestep (`torch.FloatTensor` or `float` or `int`): The number of timesteps to denoise an input.
-            encoder_hidden_states (`torch.FloatTensor`):
-                The encoder hidden states with shape `(batch, sequence_length, feature_dim)`.
-            return_dict (`bool`, *optional*, defaults to `True`):
-                Whether or not to return a [`~models.unet_3d_condition.UNet3DConditionOutput`] instead of a plain
-                tuple.
-            cross_attention_kwargs (`dict`, *optional*):
-                A kwargs dictionary that if specified is passed along to the [`AttnProcessor`].
-
-        Returns:
-            [`~models.unet_3d_condition.UNet3DConditionOutput`] or `tuple`:
-                If `return_dict` is True, an [`~models.unet_3d_condition.UNet3DConditionOutput`] is returned, otherwise
-                a `tuple` is returned where the first element is the sample tensor.
-        """
-        # By default samples have to be AT least a multiple of the overall upsampling factor.
-        # The overall upsampling factor is equal to 2 ** (# num of upsampling layears).
-        # However, the upsampling interpolation output size can be forced to fit any upsampling size
-        # on the fly if necessary.
-        default_overall_up_factor = 2**self.num_upsamplers
-
-        # upsample size should be forwarded when sample is not a multiple of `default_overall_up_factor`
-        forward_upsample_size = False
-        upsample_size = None
-
-        if any(s % default_overall_up_factor != 0 for s in sample.shape[-2:]):
-            logger.info("Forward upsample size to force interpolation output size.")
-            forward_upsample_size = True
-
-        # prepare attention_mask
-        if attention_mask is not None:
-            attention_mask = (1 - attention_mask.to(sample.dtype)) * -10000.0
-            attention_mask = attention_mask.unsqueeze(1)
-
-        # 1. time
-        timesteps = timestep
-        if not torch.is_tensor(timesteps):
-            # TODO: this requires sync between CPU and GPU. So try to pass timesteps as tensors if you can
-            # This would be a good case for the `match` statement (Python 3.10+)
-            is_mps = sample.device.type == "mps"
-            if isinstance(timestep, float):
-                dtype = torch.float32 if is_mps else torch.float64
-            else:
-                dtype = torch.int32 if is_mps else torch.int64
-            timesteps = torch.tensor([timesteps], dtype=dtype, device=sample.device)
-        elif len(timesteps.shape) == 0:
-            timesteps = timesteps[None].to(sample.device)
-
-        # broadcast to batch dimension in a way that's compatible with ONNX/Core ML
-        num_frames = sample.shape[2]
-        timesteps = timesteps.expand(sample.shape[0])
-
-        t_emb = self.time_proj(timesteps)
-
-        # timesteps does not contain any weights and will always return f32 tensors
-        # but time_embedding might actually be running in fp16. so we need to cast here.
-        # there might be better ways to encapsulate this.
-        t_emb = t_emb.to(dtype=self.dtype)
-
-        emb = self.time_embedding(t_emb, timestep_cond)
-        emb = emb.repeat_interleave(repeats=num_frames, dim=0)
-        encoder_hidden_states = encoder_hidden_states.repeat_interleave(repeats=num_frames, dim=0)
-
-        # 2. pre-process
-        sample = sample.permute(0, 2, 1, 3, 4).reshape((sample.shape[0] * num_frames, -1) + sample.shape[3:])
-        sample = self.conv_in(sample)
-
-        sample = self.transformer_in(
-            sample,
-            num_frames=num_frames,
-            cross_attention_kwargs=cross_attention_kwargs,
-            return_dict=False,
-        )[0]
-
-        # 3. down
-        down_block_res_samples = (sample,)
-        for downsample_block in self.down_blocks:
-            if hasattr(downsample_block, "has_cross_attention") and downsample_block.has_cross_attention:
-                sample, res_samples = downsample_block(
-                    hidden_states=sample,
-                    temb=emb,
-                    encoder_hidden_states=encoder_hidden_states,
-                    attention_mask=attention_mask,
-                    num_frames=num_frames,
-                    cross_attention_kwargs=cross_attention_kwargs,
-                )
-            else:
-                sample, res_samples = downsample_block(hidden_states=sample, temb=emb, num_frames=num_frames)
-
-            down_block_res_samples += res_samples
-
-        if down_block_additional_residuals is not None:
-            new_down_block_res_samples = ()
-
-            for down_block_res_sample, down_block_additional_residual in zip(
-                down_block_res_samples, down_block_additional_residuals
-            ):
-                down_block_res_sample = down_block_res_sample + down_block_additional_residual
-                new_down_block_res_samples += (down_block_res_sample,)
-
-            down_block_res_samples = new_down_block_res_samples
-
-        # 4. mid
-        if self.mid_block is not None:
-            sample = self.mid_block(
-                sample,
-                emb,
-                encoder_hidden_states=encoder_hidden_states,
-                attention_mask=attention_mask,
-                num_frames=num_frames,
-                cross_attention_kwargs=cross_attention_kwargs,
-            )
-
-        if mid_block_additional_residual is not None:
-            sample = sample + mid_block_additional_residual
-
-        # 5. up
-        for i, upsample_block in enumerate(self.up_blocks):
-            is_final_block = i == len(self.up_blocks) - 1
-
-            res_samples = down_block_res_samples[-len(upsample_block.resnets) :]
-            down_block_res_samples = down_block_res_samples[: -len(upsample_block.resnets)]
-
-            # if we have not reached the final block and need to forward the
-            # upsample size, we do it here
-            if not is_final_block and forward_upsample_size:
-                upsample_size = down_block_res_samples[-1].shape[2:]
-
-            if hasattr(upsample_block, "has_cross_attention") and upsample_block.has_cross_attention:
-                sample = upsample_block(
-                    hidden_states=sample,
-                    temb=emb,
-                    res_hidden_states_tuple=res_samples,
-                    encoder_hidden_states=encoder_hidden_states,
-                    upsample_size=upsample_size,
-                    attention_mask=attention_mask,
-                    num_frames=num_frames,
-                    cross_attention_kwargs=cross_attention_kwargs,
-                )
-            else:
-                sample = upsample_block(
-                    hidden_states=sample,
-                    temb=emb,
-                    res_hidden_states_tuple=res_samples,
-                    upsample_size=upsample_size,
-                    num_frames=num_frames,
-                )
-
-        # 6. post-process
-        if self.conv_norm_out:
-            sample = self.conv_norm_out(sample)
-            sample = self.conv_act(sample)
-
-        sample = self.conv_out(sample)
-
-        # reshape to (batch, channel, framerate, width, height)
-        sample = sample[None, :].reshape((-1, num_frames) + sample.shape[1:]).permute(0, 2, 1, 3, 4)
-
-        if not return_dict:
-            return (sample,)
-
-        return UNet3DConditionOutput(sample=sample)
diff --git a/spaces/paulengstler/interpretable-vertebral-fracture-diagnosis/netdissect/segmenter.py b/spaces/paulengstler/interpretable-vertebral-fracture-diagnosis/netdissect/segmenter.py
deleted file mode 100644
index e33009bc611357865c20bd826a1edc06a6287844..0000000000000000000000000000000000000000
--- a/spaces/paulengstler/interpretable-vertebral-fracture-diagnosis/netdissect/segmenter.py
+++ /dev/null
@@ -1,660 +0,0 @@
-# Usage as a simple differentiable segmenter base class
-
-import os, torch, numpy, json, glob
-import skimage.morphology
-from collections import OrderedDict
-from . import upsegmodel
-from . import segmodel as segmodel_module
-from .easydict import EasyDict
-from urllib.request import urlretrieve
-
-class BaseSegmenter:
-    def get_label_and_category_names(self):
-        '''
-        Returns two lists: first, a list of tuples [(label, category), ...]
-        where the label and category are human-readable strings indicating
-        the meaning of a segmentation class.  The 0th segmentation class
-        should be reserved for a label ('-') that means "no prediction."
-        The second list should just be a list of [category,...] listing
-        all categories in a canonical order.
-        '''
-        raise NotImplemented()
-
-    def segment_batch(self, tensor_images, downsample=1):
-        '''
-        Returns a multilabel segmentation for the given batch of (RGB [-1...1])
-        images.  Each pixel of the result is a torch.long indicating a
-        predicted class number.  Multiple classes can be predicted for
-        the same pixel: output shape is (n, multipred, y, x), where
-        multipred is 3, 5, or 6, for how many different predicted labels can
-        be given for each pixel (depending on whether subdivision is being
-        used).  If downsample is specified, then the output y and x dimensions
-        are downsampled from the original image.
-        '''
-        raise NotImplemented()
-
-    def predict_single_class(self, tensor_images, classnum, downsample=1):
-        '''
-        Given a batch of images (RGB, normalized to [-1...1]) and
-        a specific segmentation class number, returns a tuple with
-           (1) a differentiable ([0..1]) prediction score for the class
-               at every pixel of the input image.
-           (2) a binary mask showing where in the input image the
-               specified class is the best-predicted label for the pixel.
-        Does not work on subdivided labels.
-        '''
-        raise NotImplemented()
-
-class MergedSegmenter:
-    def __init__(self, component_segmenters):
-        self.component_segmenters = component_segmenters
-        self.labels = []
-        self.cats = []
-        self.offsets = []
-        for sgm in self.component_segmenters:
-            self.offsets.append(len(self.labels))
-            slabels, scats = sgm.get_label_and_category_names()
-            self.labels.extend(slabels)
-            for cat in scats:
-                if cat not in self.cats:
-                    self.cats.append(cat)
-
-    def get_label_and_category_names(self):
-        return (self.labels, self.cats)
-
-    def segment_batch(self, tensor_images, downsample=1):
-        segresult = []
-        for i, sgm in enumerate(self.component_segmenters):
-            segresult.append(
-                    sgm.segment_batch(tensor_images, downsample=downsample)
-                    + self.offsets[i])
-        return torch.cat(segresult, dim=1)
-
-    def predict_single_class(self, tensor_images, classnum, downsample=1):
-        for i, sgm in enumerate(self.component_segmenters):
-            if i + 1 == len(self.offsets) or classnum < self.offsets[i + 1]:
-                classnum -= self.offsets[i]
-                break
-        return sgm.predict_single_class(tensor_images, classnum,
-                downsample=downsamples)
-
-
-class NoSegmenter(BaseSegmenter):
-    def get_label_and_category_names(self):
-        return [('-', '-')], ['-']
-
-    def segment_batch(self, tensor_images, downsample=1):
-        '''
-        Returns the all-zero segmentation.
-        '''
-        return torch.zeros(
-                (tensor_images.shape[0], 1,
-                    tensor_images.shape[2] // downsample,
-                    tensor_images.shape[3] // downsample),
-                dtype=torch.long,
-                device=tensor_images.device)
-
-    def predict_single_class(self, tensor_images, classnum, downsample=1):
-        '''
-        Returns the all-zero segmentation.
-        '''
-        pred = torch.zeros(
-                (tensor_images.shape[0], 1,
-                    tensor_images.shape[2] // downsample,
-                    tensor_images.shape[3] // downsample),
-                dtype=torch.float32,
-                device=tensor_images.device)
-        mask = torch.zeros(
-                (tensor_images.shape[0], 1,
-                    tensor_images.shape[2] // downsample,
-                    tensor_images.shape[3] // downsample),
-                dtype=torch.uint8,
-                device=tensor_images.device)
-        return pred, mask
-
-class UnifiedParsingSegmenter(BaseSegmenter):
-    '''
-    This is a wrapper for a more complicated multi-class segmenter,
-    as described in https://arxiv.org/pdf/1807.10221.pdf, and as
-    released in https://github.com/CSAILVision/unifiedparsing.
-    For our purposes and to simplify processing, we do not use
-    whole-scene predictions, and we only consume part segmentations
-    for the three largest object classes (sky, building, person).
-    '''
-
-    def __init__(self, segsizes=None, segdiv=None, all_parts=False):
-        # Create a segmentation model
-        if segsizes is None:
-            segsizes = [256]
-        if segdiv == None:
-            segdiv = 'undivided'
-        segvocab = 'upp'
-        segarch = ('resnet50', 'upernet')
-        epoch = 40
-        ensure_segmenter_downloaded('datasets/segmodel', 'upp')
-        segmodel = load_unified_parsing_segmentation_model(
-                segarch, segvocab, epoch)
-        segmodel.cuda()
-        self.segmodel = segmodel
-        self.segsizes = segsizes
-        self.segdiv = segdiv
-        mult = 1
-        if self.segdiv == 'quad':
-            mult = 5
-        self.divmult = mult
-        # Assign class numbers for parts.
-        first_partnumber = (
-                (len(segmodel.labeldata['object']) - 1) * mult + 1 +
-                (len(segmodel.labeldata['material']) - 1))
-        if all_parts:
-            partobjects = segmodel.labeldata['object_part'].keys()
-        else:
-            # Use only parts for these three types of objects, for efficiency.
-            partobjects = ['sky', 'building', 'person']
-        partnumbers = {}
-        partnames = []
-        objectnumbers = {k: v
-                for v, k in enumerate(segmodel.labeldata['object'])}
-        part_index_translation = []
-        # We merge some classes.  For example "door" is both an object
-        # and a part of a building.  To avoid confusion, we just count
-        # such classes as objects, and add part scores to the same index.
-        for owner in partobjects:
-            part_list = segmodel.labeldata['object_part'][owner]
-            numeric_part_list = []
-            for part in part_list:
-                if part in objectnumbers:
-                    numeric_part_list.append(objectnumbers[part])
-                elif part in partnumbers:
-                    numeric_part_list.append(partnumbers[part])
-                else:
-                    partnumbers[part] = len(partnames) + first_partnumber
-                    partnames.append(part)
-                    numeric_part_list.append(partnumbers[part])
-            part_index_translation.append(torch.tensor(numeric_part_list))
-        self.objects_with_parts = [objectnumbers[obj] for obj in partobjects]
-        self.part_index = part_index_translation
-        self.part_names = partnames
-        # For now we'll just do object and material labels.
-        self.num_classes = 1 + (
-                len(segmodel.labeldata['object']) - 1) * mult + (
-                len(segmodel.labeldata['material']) - 1) + len(partnames)
-        self.num_object_classes = len(self.segmodel.labeldata['object']) - 1
-
-    def get_label_and_category_names(self, dataset=None):
-        '''
-        Lists label and category names.
-        '''
-        # Labels are ordered as follows:
-        # 0, [object labels] [divided object labels] [materials] [parts]
-        # The zero label is reserved to mean 'no prediction'.
-        if self.segdiv == 'quad':
-            suffixes = ['t', 'l', 'b', 'r']
-        else:
-            suffixes = []
-        divided_labels = []
-        for suffix in suffixes:
-            divided_labels.extend([('%s-%s' % (label, suffix), 'part')
-                for label in self.segmodel.labeldata['object'][1:]])
-        # Create the whole list of labels
-        labelcats = (
-                [(label, 'object')
-                    for label in self.segmodel.labeldata['object']] +
-                divided_labels +
-                [(label, 'material')
-                    for label in self.segmodel.labeldata['material'][1:]] +
-                [(label, 'part') for label in self.part_names])
-        return labelcats, ['object', 'part', 'material']
-
-    def raw_seg_prediction(self, tensor_images, downsample=1):
-        '''
-        Generates a segmentation by applying multiresolution voting on
-        the segmentation model, using (rounded to 32 pixels) a set of
-        resolutions in the example benchmark code.
-        '''
-        y, x = tensor_images.shape[2:]
-        b = len(tensor_images)
-        tensor_images = (tensor_images + 1) / 2 * 255
-        tensor_images = torch.flip(tensor_images, (1,)) # BGR!!!?
-        tensor_images -= torch.tensor([102.9801, 115.9465, 122.7717]).to(
-                   dtype=tensor_images.dtype, device=tensor_images.device
-                   )[None,:,None,None]
-        seg_shape = (y // downsample, x // downsample)
-        # We want these to be multiples of 32 for the model.
-        sizes = [(s, s) for s in self.segsizes]
-        pred = {category: torch.zeros(
-            len(tensor_images), len(self.segmodel.labeldata[category]),
-            seg_shape[0], seg_shape[1]).cuda()
-            for category in ['object', 'material']}
-        part_pred = {partobj_index: torch.zeros(
-            len(tensor_images), len(partindex),
-            seg_shape[0], seg_shape[1]).cuda()
-            for partobj_index, partindex in enumerate(self.part_index)}
-        for size in sizes:
-            if size == tensor_images.shape[2:]:
-                resized = tensor_images
-            else:
-                resized = torch.nn.AdaptiveAvgPool2d(size)(tensor_images)
-            r_pred = self.segmodel(
-                dict(img=resized), seg_size=seg_shape)
-            for k in pred:
-                pred[k] += r_pred[k]
-            for k in part_pred:
-                part_pred[k] += r_pred['part'][k]
-        return pred, part_pred
-
-    def segment_batch(self, tensor_images, downsample=1):
-        '''
-        Returns a multilabel segmentation for the given batch of (RGB [-1...1])
-        images.  Each pixel of the result is a torch.long indicating a
-        predicted class number.  Multiple classes can be predicted for
-        the same pixel: output shape is (n, multipred, y, x), where
-        multipred is 3, 5, or 6, for how many different predicted labels can
-        be given for each pixel (depending on whether subdivision is being
-        used).  If downsample is specified, then the output y and x dimensions
-        are downsampled from the original image.
-        '''
-        pred, part_pred = self.raw_seg_prediction(tensor_images,
-                downsample=downsample)
-        piece_channels = 2 if self.segdiv == 'quad' else 0
-        y, x = tensor_images.shape[2:]
-        seg_shape = (y // downsample, x // downsample)
-        segs = torch.zeros(len(tensor_images), 3 + piece_channels,
-                seg_shape[0], seg_shape[1],
-                dtype=torch.long, device=tensor_images.device)
-        _, segs[:,0] = torch.max(pred['object'], dim=1)
-        # Get materials and translate to shared numbering scheme
-        _, segs[:,1] = torch.max(pred['material'], dim=1)
-        maskout = (segs[:,1] == 0)
-        segs[:,1] += (len(self.segmodel.labeldata['object']) - 1) * self.divmult
-        segs[:,1][maskout] = 0
-        # Now deal with subparts of sky, buildings, people
-        for i, object_index in enumerate(self.objects_with_parts):
-            trans = self.part_index[i].to(segs.device)
-            # Get the argmax, and then translate to shared numbering scheme
-            seg = trans[torch.max(part_pred[i], dim=1)[1]]
-            # Only trust the parts where the prediction also predicts the
-            # owning object.
-            mask = (segs[:,0] == object_index)
-            segs[:,2][mask] = seg[mask]
-
-        if self.segdiv == 'quad':
-            segs = self.expand_segment_quad(segs, self.segdiv)
-        return segs
-
-    def predict_single_class(self, tensor_images, classnum, downsample=1):
-        '''
-        Given a batch of images (RGB, normalized to [-1...1]) and
-        a specific segmentation class number, returns a tuple with
-           (1) a differentiable ([0..1]) prediction score for the class
-               at every pixel of the input image.
-           (2) a binary mask showing where in the input image the
-               specified class is the best-predicted label for the pixel.
-        Does not work on subdivided labels.
-        '''
-        result = 0
-        pred, part_pred = self.raw_seg_prediction(tensor_images,
-                downsample=downsample)
-        material_offset = (len(self.segmodel.labeldata['object']) - 1
-            ) * self.divmult
-        if material_offset < classnum < material_offset + len(
-                self.segmodel.labeldata['material']):
-            return (
-                pred['material'][:, classnum - material_offset],
-                pred['material'].max(dim=1)[1] == classnum - material_offset)
-        mask = None
-        if classnum < len(self.segmodel.labeldata['object']):
-            result = pred['object'][:, classnum]
-            mask = (pred['object'].max(dim=1)[1] == classnum)
-        # Some objects, like 'door', are also a part of other objects,
-        # so add the part prediction also.
-        for i, object_index in enumerate(self.objects_with_parts):
-            local_index = (self.part_index[i] == classnum).nonzero()
-            if len(local_index) == 0:
-                continue
-            local_index = local_index.item()
-            # Ignore part predictions outside the mask. (We could pay
-            # atttention to and penalize such predictions.)
-            mask2 = (pred['object'].max(dim=1)[1] == object_index) * (
-                    part_pred[i].max(dim=1)[1] == local_index)
-            if mask is None:
-                mask = mask2
-            else:
-                mask = torch.max(mask, mask2)
-            result = result + (part_pred[i][:, local_index])
-        assert result is not 0, 'unrecognized class %d' % classnum
-        return result, mask
-
-    def expand_segment_quad(self, segs, segdiv='quad'):
-        shape = segs.shape
-        segs[:,3:] = segs[:,0:1] # start by copying the object channel
-        num_seg_labels = self.num_object_classes
-        # For every connected component present (using generator)
-        for i, mask in component_masks(segs[:,0:1]):
-            # Figure the bounding box of the label
-            top, bottom = mask.any(dim=1).nonzero()[[0, -1], 0]
-            left, right = mask.any(dim=0).nonzero()[[0, -1], 0]
-            # Chop the bounding box into four parts
-            vmid = (top + bottom + 1) // 2
-            hmid = (left + right + 1) // 2
-            # Construct top, bottom, right, left masks
-            quad_mask = mask[None,:,:].repeat(4, 1, 1)
-            quad_mask[0, vmid:, :] = 0   # top
-            quad_mask[1, :, hmid:] = 0   # right
-            quad_mask[2, :vmid, :] = 0   # bottom
-            quad_mask[3, :, :hmid] = 0   # left
-            quad_mask = quad_mask.long()
-            # Modify extra segmentation labels by offsetting
-            segs[i,3,:,:] += quad_mask[0] * num_seg_labels
-            segs[i,4,:,:] += quad_mask[1] * (2 * num_seg_labels)
-            segs[i,3,:,:] += quad_mask[2] * (3 * num_seg_labels)
-            segs[i,4,:,:] += quad_mask[3] * (4 * num_seg_labels)
-        # remove any components that were too small to subdivide
-        mask = segs[:,3:] <= self.num_object_classes
-        segs[:,3:][mask] = 0
-        return segs
-
-class SemanticSegmenter(BaseSegmenter):
-    def __init__(self, modeldir=None, segarch=None, segvocab=None,
-            segsizes=None, segdiv=None, epoch=None):
-        # Create a segmentation model
-        if modeldir == None:
-            modeldir = 'datasets/segmodel'
-        if segvocab == None:
-            segvocab = 'baseline'
-        if segarch == None:
-            segarch = ('resnet50_dilated8', 'ppm_bilinear_deepsup')
-        if segdiv == None:
-            segdiv = 'undivided'
-        elif isinstance(segarch, str):
-            segarch = segarch.split(',')
-        segmodel = load_segmentation_model(modeldir, segarch, segvocab, epoch)
-        if segsizes is None:
-            segsizes = getattr(segmodel.meta, 'segsizes', [256])
-        self.segsizes = segsizes
-        # Verify segmentation model to has every out_channel labeled.
-        assert len(segmodel.meta.labels) == list(c for c in segmodel.modules()
-            if isinstance(c, torch.nn.Conv2d))[-1].out_channels
-        segmodel.cuda()
-        self.segmodel = segmodel
-        self.segdiv = segdiv
-        # Image normalization
-        self.bgr = (segmodel.meta.imageformat.byteorder == 'BGR')
-        self.imagemean = torch.tensor(segmodel.meta.imageformat.mean)
-        self.imagestd = torch.tensor(segmodel.meta.imageformat.stdev)
-        # Map from labels to external indexes, and labels to channel sets.
-        self.labelmap = {'-': 0}
-        self.channelmap = {'-': []}
-        self.labels = [('-', '-')]
-        num_labels = 1
-        self.num_underlying_classes = len(segmodel.meta.labels)
-        # labelmap maps names to external indexes.
-        for i, label in enumerate(segmodel.meta.labels):
-            if label.name not in self.channelmap:
-                self.channelmap[label.name] = []
-            self.channelmap[label.name].append(i)
-            if getattr(label, 'internal', None) or label.name in self.labelmap:
-                continue
-            self.labelmap[label.name] = num_labels
-            num_labels += 1
-            self.labels.append((label.name, label.category))
-        # Each category gets its own independent softmax.
-        self.category_indexes = { category.name:
-                [i for i, label in enumerate(segmodel.meta.labels)
-                   if label.category == category.name]
-                for category in segmodel.meta.categories }
-        # catindexmap maps names to category internal indexes
-        self.catindexmap = {}
-        for catname, indexlist in self.category_indexes.items():
-            for index, i in enumerate(indexlist):
-                self.catindexmap[segmodel.meta.labels[i].name] = (
-                        (catname, index))
-        # After the softmax, each category is mapped to external indexes.
-        self.category_map = { catname:
-                torch.tensor([
-                    self.labelmap.get(segmodel.meta.labels[ind].name, 0)
-                    for ind in catindex])
-                for catname, catindex in self.category_indexes.items()}
-        self.category_rules = segmodel.meta.categories
-        # Finally, naive subdivision can be applied.
-        mult = 1
-        if self.segdiv == 'quad':
-            mult = 5
-            suffixes = ['t', 'l', 'b', 'r']
-            divided_labels = []
-            for suffix in suffixes:
-                divided_labels.extend([('%s-%s' % (label, suffix), cat)
-                    for label, cat in self.labels[1:]])
-                self.channelmap.update({
-                    '%s-%s' % (label, suffix): self.channelmap[label]
-                    for label, cat in self.labels[1:] })
-            self.labels.extend(divided_labels)
-        # For examining a single class
-        self.channellist = [self.channelmap[name] for name, _ in self.labels]
-
-    def get_label_and_category_names(self, dataset=None):
-        return self.labels, self.segmodel.categories
-
-    def segment_batch(self, tensor_images, downsample=1):
-        return self.raw_segment_batch(tensor_images, downsample)[0]
-
-    def raw_segment_batch(self, tensor_images, downsample=1):
-        pred = self.raw_seg_prediction(tensor_images, downsample)
-        catsegs = {}
-        for catkey, catindex in self.category_indexes.items():
-            _, segs = torch.max(pred[:, catindex], dim=1)
-            catsegs[catkey] = segs
-        masks = {}
-        segs = torch.zeros(len(tensor_images), len(self.category_rules),
-                pred.shape[2], pred.shape[2], device=pred.device,
-                dtype=torch.long)
-        for i, cat in enumerate(self.category_rules):
-            catmap = self.category_map[cat.name].to(pred.device)
-            translated = catmap[catsegs[cat.name]]
-            if getattr(cat, 'mask', None) is not None:
-                if cat.mask not in masks:
-                    maskcat, maskind = self.catindexmap[cat.mask]
-                    masks[cat.mask] = (catsegs[maskcat] == maskind)
-                translated *= masks[cat.mask].long()
-            segs[:,i] = translated
-        if self.segdiv == 'quad':
-            segs = self.expand_segment_quad(segs,
-                    self.num_underlying_classes, self.segdiv)
-        return segs, pred
-
-    def raw_seg_prediction(self, tensor_images, downsample=1):
-        '''
-        Generates a segmentation by applying multiresolution voting on
-        the segmentation model, using (rounded to 32 pixels) a set of
-        resolutions in the example benchmark code.
-        '''
-        y, x = tensor_images.shape[2:]
-        b = len(tensor_images)
-        # Flip the RGB order if specified.
-        if self.bgr:
-           tensor_images = torch.flip(tensor_images, (1,))
-        # Transform from our [-1..1] range to torch standard [0..1] range
-        # and then apply normalization.
-        tensor_images = ((tensor_images + 1) / 2
-                ).sub_(self.imagemean[None,:,None,None].to(tensor_images.device)
-                ).div_(self.imagestd[None,:,None,None].to(tensor_images.device))
-        # Output shape can be downsampled.
-        seg_shape = (y // downsample, x // downsample)
-        # We want these to be multiples of 32 for the model.
-        sizes = [(s, s) for s in self.segsizes]
-        pred = torch.zeros(
-            len(tensor_images), (self.num_underlying_classes),
-            seg_shape[0], seg_shape[1]).cuda()
-        for size in sizes:
-            if size == tensor_images.shape[2:]:
-                resized = tensor_images
-            else:
-                resized = torch.nn.AdaptiveAvgPool2d(size)(tensor_images)
-            raw_pred = self.segmodel(
-                dict(img_data=resized), segSize=seg_shape)
-            softmax_pred = torch.empty_like(raw_pred)
-            for catindex in self.category_indexes.values():
-                softmax_pred[:, catindex] = torch.nn.functional.softmax(
-                        raw_pred[:, catindex], dim=1)
-            pred += softmax_pred
-        return pred
-
-    def expand_segment_quad(self, segs, num_seg_labels, segdiv='quad'):
-        shape = segs.shape
-        output = segs.repeat(1, 3, 1, 1)
-        # For every connected component present (using generator)
-        for i, mask in component_masks(segs):
-            # Figure the bounding box of the label
-            top, bottom = mask.any(dim=1).nonzero()[[0, -1], 0]
-            left, right = mask.any(dim=0).nonzero()[[0, -1], 0]
-            # Chop the bounding box into four parts
-            vmid = (top + bottom + 1) // 2
-            hmid = (left + right + 1) // 2
-            # Construct top, bottom, right, left masks
-            quad_mask = mask[None,:,:].repeat(4, 1, 1)
-            quad_mask[0, vmid:, :] = 0   # top
-            quad_mask[1, :, hmid:] = 0   # right
-            quad_mask[2, :vmid, :] = 0   # bottom
-            quad_mask[3, :, :hmid] = 0   # left
-            quad_mask = quad_mask.long()
-            # Modify extra segmentation labels by offsetting
-            output[i,1,:,:] += quad_mask[0] * num_seg_labels
-            output[i,2,:,:] += quad_mask[1] * (2 * num_seg_labels)
-            output[i,1,:,:] += quad_mask[2] * (3 * num_seg_labels)
-            output[i,2,:,:] += quad_mask[3] * (4 * num_seg_labels)
-        return output
-
-    def predict_single_class(self, tensor_images, classnum, downsample=1):
-        '''
-        Given a batch of images (RGB, normalized to [-1...1]) and
-        a specific segmentation class number, returns a tuple with
-           (1) a differentiable ([0..1]) prediction score for the class
-               at every pixel of the input image.
-           (2) a binary mask showing where in the input image the
-               specified class is the best-predicted label for the pixel.
-        Does not work on subdivided labels.
-        '''
-        seg, pred = self.raw_segment_batch(tensor_images,
-                downsample=downsample)
-        result = pred[:,self.channellist[classnum]].sum(dim=1)
-        mask = (seg == classnum).max(1)[0]
-        return result, mask
-
-def component_masks(segmentation_batch):
-    '''
-    Splits connected components into regions (slower, requires cpu).
-    '''
-    npbatch = segmentation_batch.cpu().numpy()
-    for i in range(segmentation_batch.shape[0]):
-        labeled, num = skimage.morphology.label(npbatch[i][0], return_num=True)
-        labeled = torch.from_numpy(labeled).to(segmentation_batch.device)
-        for label in range(1, num):
-            yield i, (labeled == label)
-
-def load_unified_parsing_segmentation_model(segmodel_arch, segvocab, epoch):
-    segmodel_dir = 'datasets/segmodel/%s-%s-%s' % ((segvocab,) + segmodel_arch)
-    # Load json of class names and part/object structure
-    with open(os.path.join(segmodel_dir, 'labels.json')) as f:
-        labeldata = json.load(f)
-    nr_classes={k: len(labeldata[k])
-                for k in ['object', 'scene', 'material']}
-    nr_classes['part'] = sum(len(p) for p in labeldata['object_part'].values())
-    # Create a segmentation model
-    segbuilder = upsegmodel.ModelBuilder()
-    # example segmodel_arch = ('resnet101', 'upernet')
-    seg_encoder = segbuilder.build_encoder(
-            arch=segmodel_arch[0],
-            fc_dim=2048,
-            weights=os.path.join(segmodel_dir, 'encoder_epoch_%d.pth' % epoch))
-    seg_decoder = segbuilder.build_decoder(
-            arch=segmodel_arch[1],
-            fc_dim=2048, use_softmax=True,
-            nr_classes=nr_classes,
-            weights=os.path.join(segmodel_dir, 'decoder_epoch_%d.pth' % epoch))
-    segmodel = upsegmodel.SegmentationModule(
-            seg_encoder, seg_decoder, labeldata)
-    segmodel.categories = ['object', 'part', 'material']
-    segmodel.eval()
-    return segmodel
-
-def load_segmentation_model(modeldir, segmodel_arch, segvocab, epoch=None):
-    # Load csv of class names
-    segmodel_dir = 'datasets/segmodel/%s-%s-%s' % ((segvocab,) + segmodel_arch)
-    with open(os.path.join(segmodel_dir, 'labels.json')) as f:
-        labeldata = EasyDict(json.load(f))
-    # Automatically pick the last epoch available.
-    if epoch is None:
-        choices = [os.path.basename(n)[14:-4] for n in
-                glob.glob(os.path.join(segmodel_dir, 'encoder_epoch_*.pth'))]
-        epoch = max([int(c) for c in choices if c.isdigit()])
-    # Create a segmentation model
-    segbuilder = segmodel_module.ModelBuilder()
-    # example segmodel_arch = ('resnet101', 'upernet')
-    seg_encoder = segbuilder.build_encoder(
-            arch=segmodel_arch[0],
-            # fc_dim=2048,
-            weights=os.path.join(segmodel_dir, 'encoder_epoch_%d.pth' % epoch))
-    seg_decoder = segbuilder.build_decoder(
-            arch=segmodel_arch[1],
-            # fc_dim=2048, inference=True,
-            use_softmax=True,
-            num_class=len(labeldata.labels),
-            weights=os.path.join(segmodel_dir, 'decoder_epoch_%d.pth' % epoch))
-    segmodel = segmodel_module.SegmentationModule(seg_encoder, seg_decoder,
-                                  torch.nn.NLLLoss(ignore_index=-1))
-    segmodel.categories = [cat.name for cat in labeldata.categories]
-    segmodel.labels = [label.name for label in labeldata.labels]
-    categories = OrderedDict()
-    label_category = numpy.zeros(len(segmodel.labels), dtype=int)
-    for i, label in enumerate(labeldata.labels):
-        label_category[i] = segmodel.categories.index(label.category)
-    segmodel.meta = labeldata
-    segmodel.eval()
-    return segmodel
-
-def ensure_segmenter_downloaded(directory, segvocab):
-    baseurl = 'https://dissect.csail.mit.edu/models/segmodel'
-    if segvocab == 'upp':
-        dirname = 'upp-resnet50-upernet'
-        files = ['decoder_epoch_40.pth', 'encoder_epoch_40.pth', 'labels.json']
-    elif segvocab == 'color':
-        dirname = 'color-resnet18dilated-ppm_deepsup'
-        files = ['decoder_epoch_20.pth', 'encoder_epoch_20.pth', 'labels.json']
-    else:
-        assert False, segvocab
-    download_dir = os.path.join(directory, dirname)
-    os.makedirs(download_dir, exist_ok=True)
-    for fn in files:
-        if os.path.isfile(os.path.join(download_dir, fn)):
-            continue # Skip files already downloaded
-        url = '%s/%s/%s' % (baseurl, dirname, fn)
-        print('Downloading %s' % url)
-        urlretrieve(url, os.path.join(download_dir, fn))
-    assert os.path.isfile(os.path.join(directory, dirname, 'labels.json'))
-
-def test_main():
-    '''
-    Test the unified segmenter.
-    '''
-    from PIL import Image
-    testim = Image.open('script/testdata/test_church_242.jpg')
-    tensor_im = (torch.from_numpy(numpy.asarray(testim)).permute(2, 0, 1)
-            .float() / 255 * 2 - 1)[None, :, :, :].cuda()
-    segmenter = UnifiedParsingSegmenter()
-    seg = segmenter.segment_batch(tensor_im)
-    bc = torch.bincount(seg.view(-1))
-    labels, cats = segmenter.get_label_and_category_names()
-    for label in bc.nonzero()[:,0]:
-        if label.item():
-            # What is the prediction for this class?
-            pred, mask = segmenter.predict_single_class(tensor_im, label.item())
-            assert mask.sum().item() == bc[label].item()
-            assert len(((seg == label).max(1)[0] - mask).nonzero()) == 0
-            inside_pred = pred[mask].mean().item()
-            outside_pred = pred[~mask].mean().item()
-            print('%s (%s, #%d): %d pixels, pred %.2g inside %.2g outside' %
-                (labels[label.item()] + (label.item(), bc[label].item(),
-                    inside_pred, outside_pred)))
-
-if __name__ == '__main__':
-    test_main()
diff --git a/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/pip/_vendor/urllib3/contrib/pyopenssl.py b/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/pip/_vendor/urllib3/contrib/pyopenssl.py
deleted file mode 100644
index 19e4aa97cc138e4bd39bebf6c49ff1955cb00437..0000000000000000000000000000000000000000
--- a/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/pip/_vendor/urllib3/contrib/pyopenssl.py
+++ /dev/null
@@ -1,518 +0,0 @@
-"""
-TLS with SNI_-support for Python 2. Follow these instructions if you would
-like to verify TLS certificates in Python 2. Note, the default libraries do
-*not* do certificate checking; you need to do additional work to validate
-certificates yourself.
-
-This needs the following packages installed:
-
-* `pyOpenSSL`_ (tested with 16.0.0)
-* `cryptography`_ (minimum 1.3.4, from pyopenssl)
-* `idna`_ (minimum 2.0, from cryptography)
-
-However, pyopenssl depends on cryptography, which depends on idna, so while we
-use all three directly here we end up having relatively few packages required.
-
-You can install them with the following command:
-
-.. code-block:: bash
-
-    $ python -m pip install pyopenssl cryptography idna
-
-To activate certificate checking, call
-:func:`~urllib3.contrib.pyopenssl.inject_into_urllib3` from your Python code
-before you begin making HTTP requests. This can be done in a ``sitecustomize``
-module, or at any other time before your application begins using ``urllib3``,
-like this:
-
-.. code-block:: python
-
-    try:
-        import pip._vendor.urllib3.contrib.pyopenssl as pyopenssl
-        pyopenssl.inject_into_urllib3()
-    except ImportError:
-        pass
-
-Now you can use :mod:`urllib3` as you normally would, and it will support SNI
-when the required modules are installed.
-
-Activating this module also has the positive side effect of disabling SSL/TLS
-compression in Python 2 (see `CRIME attack`_).
-
-.. _sni: https://en.wikipedia.org/wiki/Server_Name_Indication
-.. _crime attack: https://en.wikipedia.org/wiki/CRIME_(security_exploit)
-.. _pyopenssl: https://www.pyopenssl.org
-.. _cryptography: https://cryptography.io
-.. _idna: https://github.com/kjd/idna
-"""
-from __future__ import absolute_import
-
-import OpenSSL.crypto
-import OpenSSL.SSL
-from cryptography import x509
-from cryptography.hazmat.backends.openssl import backend as openssl_backend
-
-try:
-    from cryptography.x509 import UnsupportedExtension
-except ImportError:
-    # UnsupportedExtension is gone in cryptography >= 2.1.0
-    class UnsupportedExtension(Exception):
-        pass
-
-
-from io import BytesIO
-from socket import error as SocketError
-from socket import timeout
-
-try:  # Platform-specific: Python 2
-    from socket import _fileobject
-except ImportError:  # Platform-specific: Python 3
-    _fileobject = None
-    from ..packages.backports.makefile import backport_makefile
-
-import logging
-import ssl
-import sys
-import warnings
-
-from .. import util
-from ..packages import six
-from ..util.ssl_ import PROTOCOL_TLS_CLIENT
-
-warnings.warn(
-    "'urllib3.contrib.pyopenssl' module is deprecated and will be removed "
-    "in a future release of urllib3 2.x. Read more in this issue: "
-    "https://github.com/urllib3/urllib3/issues/2680",
-    category=DeprecationWarning,
-    stacklevel=2,
-)
-
-__all__ = ["inject_into_urllib3", "extract_from_urllib3"]
-
-# SNI always works.
-HAS_SNI = True
-
-# Map from urllib3 to PyOpenSSL compatible parameter-values.
-_openssl_versions = {
-    util.PROTOCOL_TLS: OpenSSL.SSL.SSLv23_METHOD,
-    PROTOCOL_TLS_CLIENT: OpenSSL.SSL.SSLv23_METHOD,
-    ssl.PROTOCOL_TLSv1: OpenSSL.SSL.TLSv1_METHOD,
-}
-
-if hasattr(ssl, "PROTOCOL_SSLv3") and hasattr(OpenSSL.SSL, "SSLv3_METHOD"):
-    _openssl_versions[ssl.PROTOCOL_SSLv3] = OpenSSL.SSL.SSLv3_METHOD
-
-if hasattr(ssl, "PROTOCOL_TLSv1_1") and hasattr(OpenSSL.SSL, "TLSv1_1_METHOD"):
-    _openssl_versions[ssl.PROTOCOL_TLSv1_1] = OpenSSL.SSL.TLSv1_1_METHOD
-
-if hasattr(ssl, "PROTOCOL_TLSv1_2") and hasattr(OpenSSL.SSL, "TLSv1_2_METHOD"):
-    _openssl_versions[ssl.PROTOCOL_TLSv1_2] = OpenSSL.SSL.TLSv1_2_METHOD
-
-
-_stdlib_to_openssl_verify = {
-    ssl.CERT_NONE: OpenSSL.SSL.VERIFY_NONE,
-    ssl.CERT_OPTIONAL: OpenSSL.SSL.VERIFY_PEER,
-    ssl.CERT_REQUIRED: OpenSSL.SSL.VERIFY_PEER
-    + OpenSSL.SSL.VERIFY_FAIL_IF_NO_PEER_CERT,
-}
-_openssl_to_stdlib_verify = dict((v, k) for k, v in _stdlib_to_openssl_verify.items())
-
-# OpenSSL will only write 16K at a time
-SSL_WRITE_BLOCKSIZE = 16384
-
-orig_util_HAS_SNI = util.HAS_SNI
-orig_util_SSLContext = util.ssl_.SSLContext
-
-
-log = logging.getLogger(__name__)
-
-
-def inject_into_urllib3():
-    "Monkey-patch urllib3 with PyOpenSSL-backed SSL-support."
-
-    _validate_dependencies_met()
-
-    util.SSLContext = PyOpenSSLContext
-    util.ssl_.SSLContext = PyOpenSSLContext
-    util.HAS_SNI = HAS_SNI
-    util.ssl_.HAS_SNI = HAS_SNI
-    util.IS_PYOPENSSL = True
-    util.ssl_.IS_PYOPENSSL = True
-
-
-def extract_from_urllib3():
-    "Undo monkey-patching by :func:`inject_into_urllib3`."
-
-    util.SSLContext = orig_util_SSLContext
-    util.ssl_.SSLContext = orig_util_SSLContext
-    util.HAS_SNI = orig_util_HAS_SNI
-    util.ssl_.HAS_SNI = orig_util_HAS_SNI
-    util.IS_PYOPENSSL = False
-    util.ssl_.IS_PYOPENSSL = False
-
-
-def _validate_dependencies_met():
-    """
-    Verifies that PyOpenSSL's package-level dependencies have been met.
-    Throws `ImportError` if they are not met.
-    """
-    # Method added in `cryptography==1.1`; not available in older versions
-    from cryptography.x509.extensions import Extensions
-
-    if getattr(Extensions, "get_extension_for_class", None) is None:
-        raise ImportError(
-            "'cryptography' module missing required functionality.  "
-            "Try upgrading to v1.3.4 or newer."
-        )
-
-    # pyOpenSSL 0.14 and above use cryptography for OpenSSL bindings. The _x509
-    # attribute is only present on those versions.
-    from OpenSSL.crypto import X509
-
-    x509 = X509()
-    if getattr(x509, "_x509", None) is None:
-        raise ImportError(
-            "'pyOpenSSL' module missing required functionality. "
-            "Try upgrading to v0.14 or newer."
-        )
-
-
-def _dnsname_to_stdlib(name):
-    """
-    Converts a dNSName SubjectAlternativeName field to the form used by the
-    standard library on the given Python version.
-
-    Cryptography produces a dNSName as a unicode string that was idna-decoded
-    from ASCII bytes. We need to idna-encode that string to get it back, and
-    then on Python 3 we also need to convert to unicode via UTF-8 (the stdlib
-    uses PyUnicode_FromStringAndSize on it, which decodes via UTF-8).
-
-    If the name cannot be idna-encoded then we return None signalling that
-    the name given should be skipped.
-    """
-
-    def idna_encode(name):
-        """
-        Borrowed wholesale from the Python Cryptography Project. It turns out
-        that we can't just safely call `idna.encode`: it can explode for
-        wildcard names. This avoids that problem.
-        """
-        from pip._vendor import idna
-
-        try:
-            for prefix in [u"*.", u"."]:
-                if name.startswith(prefix):
-                    name = name[len(prefix) :]
-                    return prefix.encode("ascii") + idna.encode(name)
-            return idna.encode(name)
-        except idna.core.IDNAError:
-            return None
-
-    # Don't send IPv6 addresses through the IDNA encoder.
-    if ":" in name:
-        return name
-
-    name = idna_encode(name)
-    if name is None:
-        return None
-    elif sys.version_info >= (3, 0):
-        name = name.decode("utf-8")
-    return name
-
-
-def get_subj_alt_name(peer_cert):
-    """
-    Given an PyOpenSSL certificate, provides all the subject alternative names.
-    """
-    # Pass the cert to cryptography, which has much better APIs for this.
-    if hasattr(peer_cert, "to_cryptography"):
-        cert = peer_cert.to_cryptography()
-    else:
-        der = OpenSSL.crypto.dump_certificate(OpenSSL.crypto.FILETYPE_ASN1, peer_cert)
-        cert = x509.load_der_x509_certificate(der, openssl_backend)
-
-    # We want to find the SAN extension. Ask Cryptography to locate it (it's
-    # faster than looping in Python)
-    try:
-        ext = cert.extensions.get_extension_for_class(x509.SubjectAlternativeName).value
-    except x509.ExtensionNotFound:
-        # No such extension, return the empty list.
-        return []
-    except (
-        x509.DuplicateExtension,
-        UnsupportedExtension,
-        x509.UnsupportedGeneralNameType,
-        UnicodeError,
-    ) as e:
-        # A problem has been found with the quality of the certificate. Assume
-        # no SAN field is present.
-        log.warning(
-            "A problem was encountered with the certificate that prevented "
-            "urllib3 from finding the SubjectAlternativeName field. This can "
-            "affect certificate validation. The error was %s",
-            e,
-        )
-        return []
-
-    # We want to return dNSName and iPAddress fields. We need to cast the IPs
-    # back to strings because the match_hostname function wants them as
-    # strings.
-    # Sadly the DNS names need to be idna encoded and then, on Python 3, UTF-8
-    # decoded. This is pretty frustrating, but that's what the standard library
-    # does with certificates, and so we need to attempt to do the same.
-    # We also want to skip over names which cannot be idna encoded.
-    names = [
-        ("DNS", name)
-        for name in map(_dnsname_to_stdlib, ext.get_values_for_type(x509.DNSName))
-        if name is not None
-    ]
-    names.extend(
-        ("IP Address", str(name)) for name in ext.get_values_for_type(x509.IPAddress)
-    )
-
-    return names
-
-
-class WrappedSocket(object):
-    """API-compatibility wrapper for Python OpenSSL's Connection-class.
-
-    Note: _makefile_refs, _drop() and _reuse() are needed for the garbage
-    collector of pypy.
-    """
-
-    def __init__(self, connection, socket, suppress_ragged_eofs=True):
-        self.connection = connection
-        self.socket = socket
-        self.suppress_ragged_eofs = suppress_ragged_eofs
-        self._makefile_refs = 0
-        self._closed = False
-
-    def fileno(self):
-        return self.socket.fileno()
-
-    # Copy-pasted from Python 3.5 source code
-    def _decref_socketios(self):
-        if self._makefile_refs > 0:
-            self._makefile_refs -= 1
-        if self._closed:
-            self.close()
-
-    def recv(self, *args, **kwargs):
-        try:
-            data = self.connection.recv(*args, **kwargs)
-        except OpenSSL.SSL.SysCallError as e:
-            if self.suppress_ragged_eofs and e.args == (-1, "Unexpected EOF"):
-                return b""
-            else:
-                raise SocketError(str(e))
-        except OpenSSL.SSL.ZeroReturnError:
-            if self.connection.get_shutdown() == OpenSSL.SSL.RECEIVED_SHUTDOWN:
-                return b""
-            else:
-                raise
-        except OpenSSL.SSL.WantReadError:
-            if not util.wait_for_read(self.socket, self.socket.gettimeout()):
-                raise timeout("The read operation timed out")
-            else:
-                return self.recv(*args, **kwargs)
-
-        # TLS 1.3 post-handshake authentication
-        except OpenSSL.SSL.Error as e:
-            raise ssl.SSLError("read error: %r" % e)
-        else:
-            return data
-
-    def recv_into(self, *args, **kwargs):
-        try:
-            return self.connection.recv_into(*args, **kwargs)
-        except OpenSSL.SSL.SysCallError as e:
-            if self.suppress_ragged_eofs and e.args == (-1, "Unexpected EOF"):
-                return 0
-            else:
-                raise SocketError(str(e))
-        except OpenSSL.SSL.ZeroReturnError:
-            if self.connection.get_shutdown() == OpenSSL.SSL.RECEIVED_SHUTDOWN:
-                return 0
-            else:
-                raise
-        except OpenSSL.SSL.WantReadError:
-            if not util.wait_for_read(self.socket, self.socket.gettimeout()):
-                raise timeout("The read operation timed out")
-            else:
-                return self.recv_into(*args, **kwargs)
-
-        # TLS 1.3 post-handshake authentication
-        except OpenSSL.SSL.Error as e:
-            raise ssl.SSLError("read error: %r" % e)
-
-    def settimeout(self, timeout):
-        return self.socket.settimeout(timeout)
-
-    def _send_until_done(self, data):
-        while True:
-            try:
-                return self.connection.send(data)
-            except OpenSSL.SSL.WantWriteError:
-                if not util.wait_for_write(self.socket, self.socket.gettimeout()):
-                    raise timeout()
-                continue
-            except OpenSSL.SSL.SysCallError as e:
-                raise SocketError(str(e))
-
-    def sendall(self, data):
-        total_sent = 0
-        while total_sent < len(data):
-            sent = self._send_until_done(
-                data[total_sent : total_sent + SSL_WRITE_BLOCKSIZE]
-            )
-            total_sent += sent
-
-    def shutdown(self):
-        # FIXME rethrow compatible exceptions should we ever use this
-        self.connection.shutdown()
-
-    def close(self):
-        if self._makefile_refs < 1:
-            try:
-                self._closed = True
-                return self.connection.close()
-            except OpenSSL.SSL.Error:
-                return
-        else:
-            self._makefile_refs -= 1
-
-    def getpeercert(self, binary_form=False):
-        x509 = self.connection.get_peer_certificate()
-
-        if not x509:
-            return x509
-
-        if binary_form:
-            return OpenSSL.crypto.dump_certificate(OpenSSL.crypto.FILETYPE_ASN1, x509)
-
-        return {
-            "subject": ((("commonName", x509.get_subject().CN),),),
-            "subjectAltName": get_subj_alt_name(x509),
-        }
-
-    def version(self):
-        return self.connection.get_protocol_version_name()
-
-    def _reuse(self):
-        self._makefile_refs += 1
-
-    def _drop(self):
-        if self._makefile_refs < 1:
-            self.close()
-        else:
-            self._makefile_refs -= 1
-
-
-if _fileobject:  # Platform-specific: Python 2
-
-    def makefile(self, mode, bufsize=-1):
-        self._makefile_refs += 1
-        return _fileobject(self, mode, bufsize, close=True)
-
-else:  # Platform-specific: Python 3
-    makefile = backport_makefile
-
-WrappedSocket.makefile = makefile
-
-
-class PyOpenSSLContext(object):
-    """
-    I am a wrapper class for the PyOpenSSL ``Context`` object. I am responsible
-    for translating the interface of the standard library ``SSLContext`` object
-    to calls into PyOpenSSL.
-    """
-
-    def __init__(self, protocol):
-        self.protocol = _openssl_versions[protocol]
-        self._ctx = OpenSSL.SSL.Context(self.protocol)
-        self._options = 0
-        self.check_hostname = False
-
-    @property
-    def options(self):
-        return self._options
-
-    @options.setter
-    def options(self, value):
-        self._options = value
-        self._ctx.set_options(value)
-
-    @property
-    def verify_mode(self):
-        return _openssl_to_stdlib_verify[self._ctx.get_verify_mode()]
-
-    @verify_mode.setter
-    def verify_mode(self, value):
-        self._ctx.set_verify(_stdlib_to_openssl_verify[value], _verify_callback)
-
-    def set_default_verify_paths(self):
-        self._ctx.set_default_verify_paths()
-
-    def set_ciphers(self, ciphers):
-        if isinstance(ciphers, six.text_type):
-            ciphers = ciphers.encode("utf-8")
-        self._ctx.set_cipher_list(ciphers)
-
-    def load_verify_locations(self, cafile=None, capath=None, cadata=None):
-        if cafile is not None:
-            cafile = cafile.encode("utf-8")
-        if capath is not None:
-            capath = capath.encode("utf-8")
-        try:
-            self._ctx.load_verify_locations(cafile, capath)
-            if cadata is not None:
-                self._ctx.load_verify_locations(BytesIO(cadata))
-        except OpenSSL.SSL.Error as e:
-            raise ssl.SSLError("unable to load trusted certificates: %r" % e)
-
-    def load_cert_chain(self, certfile, keyfile=None, password=None):
-        self._ctx.use_certificate_chain_file(certfile)
-        if password is not None:
-            if not isinstance(password, six.binary_type):
-                password = password.encode("utf-8")
-            self._ctx.set_passwd_cb(lambda *_: password)
-        self._ctx.use_privatekey_file(keyfile or certfile)
-
-    def set_alpn_protocols(self, protocols):
-        protocols = [six.ensure_binary(p) for p in protocols]
-        return self._ctx.set_alpn_protos(protocols)
-
-    def wrap_socket(
-        self,
-        sock,
-        server_side=False,
-        do_handshake_on_connect=True,
-        suppress_ragged_eofs=True,
-        server_hostname=None,
-    ):
-        cnx = OpenSSL.SSL.Connection(self._ctx, sock)
-
-        if isinstance(server_hostname, six.text_type):  # Platform-specific: Python 3
-            server_hostname = server_hostname.encode("utf-8")
-
-        if server_hostname is not None:
-            cnx.set_tlsext_host_name(server_hostname)
-
-        cnx.set_connect_state()
-
-        while True:
-            try:
-                cnx.do_handshake()
-            except OpenSSL.SSL.WantReadError:
-                if not util.wait_for_read(sock, sock.gettimeout()):
-                    raise timeout("select timed out")
-                continue
-            except OpenSSL.SSL.Error as e:
-                raise ssl.SSLError("bad handshake: %r" % e)
-            break
-
-        return WrappedSocket(cnx, sock)
-
-
-def _verify_callback(cnx, x509, err_no, err_depth, return_code):
-    return err_no == 0
diff --git a/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_distutils/command/install.py b/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_distutils/command/install.py
deleted file mode 100644
index a7ac4e6077b065fe11015bb8c9b11547bf5e7798..0000000000000000000000000000000000000000
--- a/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_distutils/command/install.py
+++ /dev/null
@@ -1,813 +0,0 @@
-"""distutils.command.install
-
-Implements the Distutils 'install' command."""
-
-import sys
-import os
-import contextlib
-import sysconfig
-import itertools
-
-from distutils._log import log
-from ..core import Command
-from ..debug import DEBUG
-from ..sysconfig import get_config_vars
-from ..file_util import write_file
-from ..util import convert_path, subst_vars, change_root
-from ..util import get_platform
-from ..errors import DistutilsOptionError, DistutilsPlatformError
-from . import _framework_compat as fw
-from .. import _collections
-
-from site import USER_BASE
-from site import USER_SITE
-
-HAS_USER_SITE = True
-
-WINDOWS_SCHEME = {
-    'purelib': '{base}/Lib/site-packages',
-    'platlib': '{base}/Lib/site-packages',
-    'headers': '{base}/Include/{dist_name}',
-    'scripts': '{base}/Scripts',
-    'data': '{base}',
-}
-
-INSTALL_SCHEMES = {
-    'posix_prefix': {
-        'purelib': '{base}/lib/{implementation_lower}{py_version_short}/site-packages',
-        'platlib': '{platbase}/{platlibdir}/{implementation_lower}'
-        '{py_version_short}/site-packages',
-        'headers': '{base}/include/{implementation_lower}'
-        '{py_version_short}{abiflags}/{dist_name}',
-        'scripts': '{base}/bin',
-        'data': '{base}',
-    },
-    'posix_home': {
-        'purelib': '{base}/lib/{implementation_lower}',
-        'platlib': '{base}/{platlibdir}/{implementation_lower}',
-        'headers': '{base}/include/{implementation_lower}/{dist_name}',
-        'scripts': '{base}/bin',
-        'data': '{base}',
-    },
-    'nt': WINDOWS_SCHEME,
-    'pypy': {
-        'purelib': '{base}/site-packages',
-        'platlib': '{base}/site-packages',
-        'headers': '{base}/include/{dist_name}',
-        'scripts': '{base}/bin',
-        'data': '{base}',
-    },
-    'pypy_nt': {
-        'purelib': '{base}/site-packages',
-        'platlib': '{base}/site-packages',
-        'headers': '{base}/include/{dist_name}',
-        'scripts': '{base}/Scripts',
-        'data': '{base}',
-    },
-}
-
-# user site schemes
-if HAS_USER_SITE:
-    INSTALL_SCHEMES['nt_user'] = {
-        'purelib': '{usersite}',
-        'platlib': '{usersite}',
-        'headers': '{userbase}/{implementation}{py_version_nodot_plat}'
-        '/Include/{dist_name}',
-        'scripts': '{userbase}/{implementation}{py_version_nodot_plat}/Scripts',
-        'data': '{userbase}',
-    }
-
-    INSTALL_SCHEMES['posix_user'] = {
-        'purelib': '{usersite}',
-        'platlib': '{usersite}',
-        'headers': '{userbase}/include/{implementation_lower}'
-        '{py_version_short}{abiflags}/{dist_name}',
-        'scripts': '{userbase}/bin',
-        'data': '{userbase}',
-    }
-
-
-INSTALL_SCHEMES.update(fw.schemes)
-
-
-# The keys to an installation scheme; if any new types of files are to be
-# installed, be sure to add an entry to every installation scheme above,
-# and to SCHEME_KEYS here.
-SCHEME_KEYS = ('purelib', 'platlib', 'headers', 'scripts', 'data')
-
-
-def _load_sysconfig_schemes():
-    with contextlib.suppress(AttributeError):
-        return {
-            scheme: sysconfig.get_paths(scheme, expand=False)
-            for scheme in sysconfig.get_scheme_names()
-        }
-
-
-def _load_schemes():
-    """
-    Extend default schemes with schemes from sysconfig.
-    """
-
-    sysconfig_schemes = _load_sysconfig_schemes() or {}
-
-    return {
-        scheme: {
-            **INSTALL_SCHEMES.get(scheme, {}),
-            **sysconfig_schemes.get(scheme, {}),
-        }
-        for scheme in set(itertools.chain(INSTALL_SCHEMES, sysconfig_schemes))
-    }
-
-
-def _get_implementation():
-    if hasattr(sys, 'pypy_version_info'):
-        return 'PyPy'
-    else:
-        return 'Python'
-
-
-def _select_scheme(ob, name):
-    scheme = _inject_headers(name, _load_scheme(_resolve_scheme(name)))
-    vars(ob).update(_remove_set(ob, _scheme_attrs(scheme)))
-
-
-def _remove_set(ob, attrs):
-    """
-    Include only attrs that are None in ob.
-    """
-    return {key: value for key, value in attrs.items() if getattr(ob, key) is None}
-
-
-def _resolve_scheme(name):
-    os_name, sep, key = name.partition('_')
-    try:
-        resolved = sysconfig.get_preferred_scheme(key)
-    except Exception:
-        resolved = fw.scheme(_pypy_hack(name))
-    return resolved
-
-
-def _load_scheme(name):
-    return _load_schemes()[name]
-
-
-def _inject_headers(name, scheme):
-    """
-    Given a scheme name and the resolved scheme,
-    if the scheme does not include headers, resolve
-    the fallback scheme for the name and use headers
-    from it. pypa/distutils#88
-    """
-    # Bypass the preferred scheme, which may not
-    # have defined headers.
-    fallback = _load_scheme(_pypy_hack(name))
-    scheme.setdefault('headers', fallback['headers'])
-    return scheme
-
-
-def _scheme_attrs(scheme):
-    """Resolve install directories by applying the install schemes."""
-    return {f'install_{key}': scheme[key] for key in SCHEME_KEYS}
-
-
-def _pypy_hack(name):
-    PY37 = sys.version_info < (3, 8)
-    old_pypy = hasattr(sys, 'pypy_version_info') and PY37
-    prefix = not name.endswith(('_user', '_home'))
-    pypy_name = 'pypy' + '_nt' * (os.name == 'nt')
-    return pypy_name if old_pypy and prefix else name
-
-
-class install(Command):
-    description = "install everything from build directory"
-
-    user_options = [
-        # Select installation scheme and set base director(y|ies)
-        ('prefix=', None, "installation prefix"),
-        ('exec-prefix=', None, "(Unix only) prefix for platform-specific files"),
-        ('home=', None, "(Unix only) home directory to install under"),
-        # Or, just set the base director(y|ies)
-        (
-            'install-base=',
-            None,
-            "base installation directory (instead of --prefix or --home)",
-        ),
-        (
-            'install-platbase=',
-            None,
-            "base installation directory for platform-specific files "
-            + "(instead of --exec-prefix or --home)",
-        ),
-        ('root=', None, "install everything relative to this alternate root directory"),
-        # Or, explicitly set the installation scheme
-        (
-            'install-purelib=',
-            None,
-            "installation directory for pure Python module distributions",
-        ),
-        (
-            'install-platlib=',
-            None,
-            "installation directory for non-pure module distributions",
-        ),
-        (
-            'install-lib=',
-            None,
-            "installation directory for all module distributions "
-            + "(overrides --install-purelib and --install-platlib)",
-        ),
-        ('install-headers=', None, "installation directory for C/C++ headers"),
-        ('install-scripts=', None, "installation directory for Python scripts"),
-        ('install-data=', None, "installation directory for data files"),
-        # Byte-compilation options -- see install_lib.py for details, as
-        # these are duplicated from there (but only install_lib does
-        # anything with them).
-        ('compile', 'c', "compile .py to .pyc [default]"),
-        ('no-compile', None, "don't compile .py files"),
-        (
-            'optimize=',
-            'O',
-            "also compile with optimization: -O1 for \"python -O\", "
-            "-O2 for \"python -OO\", and -O0 to disable [default: -O0]",
-        ),
-        # Miscellaneous control options
-        ('force', 'f', "force installation (overwrite any existing files)"),
-        ('skip-build', None, "skip rebuilding everything (for testing/debugging)"),
-        # Where to install documentation (eventually!)
-        # ('doc-format=', None, "format of documentation to generate"),
-        # ('install-man=', None, "directory for Unix man pages"),
-        # ('install-html=', None, "directory for HTML documentation"),
-        # ('install-info=', None, "directory for GNU info files"),
-        ('record=', None, "filename in which to record list of installed files"),
-    ]
-
-    boolean_options = ['compile', 'force', 'skip-build']
-
-    if HAS_USER_SITE:
-        user_options.append(
-            ('user', None, "install in user site-package '%s'" % USER_SITE)
-        )
-        boolean_options.append('user')
-
-    negative_opt = {'no-compile': 'compile'}
-
-    def initialize_options(self):
-        """Initializes options."""
-        # High-level options: these select both an installation base
-        # and scheme.
-        self.prefix = None
-        self.exec_prefix = None
-        self.home = None
-        self.user = 0
-
-        # These select only the installation base; it's up to the user to
-        # specify the installation scheme (currently, that means supplying
-        # the --install-{platlib,purelib,scripts,data} options).
-        self.install_base = None
-        self.install_platbase = None
-        self.root = None
-
-        # These options are the actual installation directories; if not
-        # supplied by the user, they are filled in using the installation
-        # scheme implied by prefix/exec-prefix/home and the contents of
-        # that installation scheme.
-        self.install_purelib = None  # for pure module distributions
-        self.install_platlib = None  # non-pure (dists w/ extensions)
-        self.install_headers = None  # for C/C++ headers
-        self.install_lib = None  # set to either purelib or platlib
-        self.install_scripts = None
-        self.install_data = None
-        self.install_userbase = USER_BASE
-        self.install_usersite = USER_SITE
-
-        self.compile = None
-        self.optimize = None
-
-        # Deprecated
-        # These two are for putting non-packagized distributions into their
-        # own directory and creating a .pth file if it makes sense.
-        # 'extra_path' comes from the setup file; 'install_path_file' can
-        # be turned off if it makes no sense to install a .pth file.  (But
-        # better to install it uselessly than to guess wrong and not
-        # install it when it's necessary and would be used!)  Currently,
-        # 'install_path_file' is always true unless some outsider meddles
-        # with it.
-        self.extra_path = None
-        self.install_path_file = 1
-
-        # 'force' forces installation, even if target files are not
-        # out-of-date.  'skip_build' skips running the "build" command,
-        # handy if you know it's not necessary.  'warn_dir' (which is *not*
-        # a user option, it's just there so the bdist_* commands can turn
-        # it off) determines whether we warn about installing to a
-        # directory not in sys.path.
-        self.force = 0
-        self.skip_build = 0
-        self.warn_dir = 1
-
-        # These are only here as a conduit from the 'build' command to the
-        # 'install_*' commands that do the real work.  ('build_base' isn't
-        # actually used anywhere, but it might be useful in future.)  They
-        # are not user options, because if the user told the install
-        # command where the build directory is, that wouldn't affect the
-        # build command.
-        self.build_base = None
-        self.build_lib = None
-
-        # Not defined yet because we don't know anything about
-        # documentation yet.
-        # self.install_man = None
-        # self.install_html = None
-        # self.install_info = None
-
-        self.record = None
-
-    # -- Option finalizing methods -------------------------------------
-    # (This is rather more involved than for most commands,
-    # because this is where the policy for installing third-
-    # party Python modules on various platforms given a wide
-    # array of user input is decided.  Yes, it's quite complex!)
-
-    def finalize_options(self):  # noqa: C901
-        """Finalizes options."""
-        # This method (and its helpers, like 'finalize_unix()',
-        # 'finalize_other()', and 'select_scheme()') is where the default
-        # installation directories for modules, extension modules, and
-        # anything else we care to install from a Python module
-        # distribution.  Thus, this code makes a pretty important policy
-        # statement about how third-party stuff is added to a Python
-        # installation!  Note that the actual work of installation is done
-        # by the relatively simple 'install_*' commands; they just take
-        # their orders from the installation directory options determined
-        # here.
-
-        # Check for errors/inconsistencies in the options; first, stuff
-        # that's wrong on any platform.
-
-        if (self.prefix or self.exec_prefix or self.home) and (
-            self.install_base or self.install_platbase
-        ):
-            raise DistutilsOptionError(
-                "must supply either prefix/exec-prefix/home or "
-                + "install-base/install-platbase -- not both"
-            )
-
-        if self.home and (self.prefix or self.exec_prefix):
-            raise DistutilsOptionError(
-                "must supply either home or prefix/exec-prefix -- not both"
-            )
-
-        if self.user and (
-            self.prefix
-            or self.exec_prefix
-            or self.home
-            or self.install_base
-            or self.install_platbase
-        ):
-            raise DistutilsOptionError(
-                "can't combine user with prefix, "
-                "exec_prefix/home, or install_(plat)base"
-            )
-
-        # Next, stuff that's wrong (or dubious) only on certain platforms.
-        if os.name != "posix":
-            if self.exec_prefix:
-                self.warn("exec-prefix option ignored on this platform")
-                self.exec_prefix = None
-
-        # Now the interesting logic -- so interesting that we farm it out
-        # to other methods.  The goal of these methods is to set the final
-        # values for the install_{lib,scripts,data,...}  options, using as
-        # input a heady brew of prefix, exec_prefix, home, install_base,
-        # install_platbase, user-supplied versions of
-        # install_{purelib,platlib,lib,scripts,data,...}, and the
-        # install schemes.  Phew!
-
-        self.dump_dirs("pre-finalize_{unix,other}")
-
-        if os.name == 'posix':
-            self.finalize_unix()
-        else:
-            self.finalize_other()
-
-        self.dump_dirs("post-finalize_{unix,other}()")
-
-        # Expand configuration variables, tilde, etc. in self.install_base
-        # and self.install_platbase -- that way, we can use $base or
-        # $platbase in the other installation directories and not worry
-        # about needing recursive variable expansion (shudder).
-
-        py_version = sys.version.split()[0]
-        (prefix, exec_prefix) = get_config_vars('prefix', 'exec_prefix')
-        try:
-            abiflags = sys.abiflags
-        except AttributeError:
-            # sys.abiflags may not be defined on all platforms.
-            abiflags = ''
-        local_vars = {
-            'dist_name': self.distribution.get_name(),
-            'dist_version': self.distribution.get_version(),
-            'dist_fullname': self.distribution.get_fullname(),
-            'py_version': py_version,
-            'py_version_short': '%d.%d' % sys.version_info[:2],
-            'py_version_nodot': '%d%d' % sys.version_info[:2],
-            'sys_prefix': prefix,
-            'prefix': prefix,
-            'sys_exec_prefix': exec_prefix,
-            'exec_prefix': exec_prefix,
-            'abiflags': abiflags,
-            'platlibdir': getattr(sys, 'platlibdir', 'lib'),
-            'implementation_lower': _get_implementation().lower(),
-            'implementation': _get_implementation(),
-        }
-
-        # vars for compatibility on older Pythons
-        compat_vars = dict(
-            # Python 3.9 and earlier
-            py_version_nodot_plat=getattr(sys, 'winver', '').replace('.', ''),
-        )
-
-        if HAS_USER_SITE:
-            local_vars['userbase'] = self.install_userbase
-            local_vars['usersite'] = self.install_usersite
-
-        self.config_vars = _collections.DictStack(
-            [fw.vars(), compat_vars, sysconfig.get_config_vars(), local_vars]
-        )
-
-        self.expand_basedirs()
-
-        self.dump_dirs("post-expand_basedirs()")
-
-        # Now define config vars for the base directories so we can expand
-        # everything else.
-        local_vars['base'] = self.install_base
-        local_vars['platbase'] = self.install_platbase
-
-        if DEBUG:
-            from pprint import pprint
-
-            print("config vars:")
-            pprint(dict(self.config_vars))
-
-        # Expand "~" and configuration variables in the installation
-        # directories.
-        self.expand_dirs()
-
-        self.dump_dirs("post-expand_dirs()")
-
-        # Create directories in the home dir:
-        if self.user:
-            self.create_home_path()
-
-        # Pick the actual directory to install all modules to: either
-        # install_purelib or install_platlib, depending on whether this
-        # module distribution is pure or not.  Of course, if the user
-        # already specified install_lib, use their selection.
-        if self.install_lib is None:
-            if self.distribution.has_ext_modules():  # has extensions: non-pure
-                self.install_lib = self.install_platlib
-            else:
-                self.install_lib = self.install_purelib
-
-        # Convert directories from Unix /-separated syntax to the local
-        # convention.
-        self.convert_paths(
-            'lib',
-            'purelib',
-            'platlib',
-            'scripts',
-            'data',
-            'headers',
-            'userbase',
-            'usersite',
-        )
-
-        # Deprecated
-        # Well, we're not actually fully completely finalized yet: we still
-        # have to deal with 'extra_path', which is the hack for allowing
-        # non-packagized module distributions (hello, Numerical Python!) to
-        # get their own directories.
-        self.handle_extra_path()
-        self.install_libbase = self.install_lib  # needed for .pth file
-        self.install_lib = os.path.join(self.install_lib, self.extra_dirs)
-
-        # If a new root directory was supplied, make all the installation
-        # dirs relative to it.
-        if self.root is not None:
-            self.change_roots(
-                'libbase', 'lib', 'purelib', 'platlib', 'scripts', 'data', 'headers'
-            )
-
-        self.dump_dirs("after prepending root")
-
-        # Find out the build directories, ie. where to install from.
-        self.set_undefined_options(
-            'build', ('build_base', 'build_base'), ('build_lib', 'build_lib')
-        )
-
-        # Punt on doc directories for now -- after all, we're punting on
-        # documentation completely!
-
-    def dump_dirs(self, msg):
-        """Dumps the list of user options."""
-        if not DEBUG:
-            return
-        from ..fancy_getopt import longopt_xlate
-
-        log.debug(msg + ":")
-        for opt in self.user_options:
-            opt_name = opt[0]
-            if opt_name[-1] == "=":
-                opt_name = opt_name[0:-1]
-            if opt_name in self.negative_opt:
-                opt_name = self.negative_opt[opt_name]
-                opt_name = opt_name.translate(longopt_xlate)
-                val = not getattr(self, opt_name)
-            else:
-                opt_name = opt_name.translate(longopt_xlate)
-                val = getattr(self, opt_name)
-            log.debug("  %s: %s", opt_name, val)
-
-    def finalize_unix(self):
-        """Finalizes options for posix platforms."""
-        if self.install_base is not None or self.install_platbase is not None:
-            incomplete_scheme = (
-                (
-                    self.install_lib is None
-                    and self.install_purelib is None
-                    and self.install_platlib is None
-                )
-                or self.install_headers is None
-                or self.install_scripts is None
-                or self.install_data is None
-            )
-            if incomplete_scheme:
-                raise DistutilsOptionError(
-                    "install-base or install-platbase supplied, but "
-                    "installation scheme is incomplete"
-                )
-            return
-
-        if self.user:
-            if self.install_userbase is None:
-                raise DistutilsPlatformError("User base directory is not specified")
-            self.install_base = self.install_platbase = self.install_userbase
-            self.select_scheme("posix_user")
-        elif self.home is not None:
-            self.install_base = self.install_platbase = self.home
-            self.select_scheme("posix_home")
-        else:
-            if self.prefix is None:
-                if self.exec_prefix is not None:
-                    raise DistutilsOptionError(
-                        "must not supply exec-prefix without prefix"
-                    )
-
-                # Allow Fedora to add components to the prefix
-                _prefix_addition = getattr(sysconfig, '_prefix_addition', "")
-
-                self.prefix = os.path.normpath(sys.prefix) + _prefix_addition
-                self.exec_prefix = os.path.normpath(sys.exec_prefix) + _prefix_addition
-
-            else:
-                if self.exec_prefix is None:
-                    self.exec_prefix = self.prefix
-
-            self.install_base = self.prefix
-            self.install_platbase = self.exec_prefix
-            self.select_scheme("posix_prefix")
-
-    def finalize_other(self):
-        """Finalizes options for non-posix platforms"""
-        if self.user:
-            if self.install_userbase is None:
-                raise DistutilsPlatformError("User base directory is not specified")
-            self.install_base = self.install_platbase = self.install_userbase
-            self.select_scheme(os.name + "_user")
-        elif self.home is not None:
-            self.install_base = self.install_platbase = self.home
-            self.select_scheme("posix_home")
-        else:
-            if self.prefix is None:
-                self.prefix = os.path.normpath(sys.prefix)
-
-            self.install_base = self.install_platbase = self.prefix
-            try:
-                self.select_scheme(os.name)
-            except KeyError:
-                raise DistutilsPlatformError(
-                    "I don't know how to install stuff on '%s'" % os.name
-                )
-
-    def select_scheme(self, name):
-        _select_scheme(self, name)
-
-    def _expand_attrs(self, attrs):
-        for attr in attrs:
-            val = getattr(self, attr)
-            if val is not None:
-                if os.name in ('posix', 'nt'):
-                    val = os.path.expanduser(val)
-                val = subst_vars(val, self.config_vars)
-                setattr(self, attr, val)
-
-    def expand_basedirs(self):
-        """Calls `os.path.expanduser` on install_base, install_platbase and
-        root."""
-        self._expand_attrs(['install_base', 'install_platbase', 'root'])
-
-    def expand_dirs(self):
-        """Calls `os.path.expanduser` on install dirs."""
-        self._expand_attrs(
-            [
-                'install_purelib',
-                'install_platlib',
-                'install_lib',
-                'install_headers',
-                'install_scripts',
-                'install_data',
-            ]
-        )
-
-    def convert_paths(self, *names):
-        """Call `convert_path` over `names`."""
-        for name in names:
-            attr = "install_" + name
-            setattr(self, attr, convert_path(getattr(self, attr)))
-
-    def handle_extra_path(self):
-        """Set `path_file` and `extra_dirs` using `extra_path`."""
-        if self.extra_path is None:
-            self.extra_path = self.distribution.extra_path
-
-        if self.extra_path is not None:
-            log.warning(
-                "Distribution option extra_path is deprecated. "
-                "See issue27919 for details."
-            )
-            if isinstance(self.extra_path, str):
-                self.extra_path = self.extra_path.split(',')
-
-            if len(self.extra_path) == 1:
-                path_file = extra_dirs = self.extra_path[0]
-            elif len(self.extra_path) == 2:
-                path_file, extra_dirs = self.extra_path
-            else:
-                raise DistutilsOptionError(
-                    "'extra_path' option must be a list, tuple, or "
-                    "comma-separated string with 1 or 2 elements"
-                )
-
-            # convert to local form in case Unix notation used (as it
-            # should be in setup scripts)
-            extra_dirs = convert_path(extra_dirs)
-        else:
-            path_file = None
-            extra_dirs = ''
-
-        # XXX should we warn if path_file and not extra_dirs? (in which
-        # case the path file would be harmless but pointless)
-        self.path_file = path_file
-        self.extra_dirs = extra_dirs
-
-    def change_roots(self, *names):
-        """Change the install directories pointed by name using root."""
-        for name in names:
-            attr = "install_" + name
-            setattr(self, attr, change_root(self.root, getattr(self, attr)))
-
-    def create_home_path(self):
-        """Create directories under ~."""
-        if not self.user:
-            return
-        home = convert_path(os.path.expanduser("~"))
-        for name, path in self.config_vars.items():
-            if str(path).startswith(home) and not os.path.isdir(path):
-                self.debug_print("os.makedirs('%s', 0o700)" % path)
-                os.makedirs(path, 0o700)
-
-    # -- Command execution methods -------------------------------------
-
-    def run(self):
-        """Runs the command."""
-        # Obviously have to build before we can install
-        if not self.skip_build:
-            self.run_command('build')
-            # If we built for any other platform, we can't install.
-            build_plat = self.distribution.get_command_obj('build').plat_name
-            # check warn_dir - it is a clue that the 'install' is happening
-            # internally, and not to sys.path, so we don't check the platform
-            # matches what we are running.
-            if self.warn_dir and build_plat != get_platform():
-                raise DistutilsPlatformError("Can't install when " "cross-compiling")
-
-        # Run all sub-commands (at least those that need to be run)
-        for cmd_name in self.get_sub_commands():
-            self.run_command(cmd_name)
-
-        if self.path_file:
-            self.create_path_file()
-
-        # write list of installed files, if requested.
-        if self.record:
-            outputs = self.get_outputs()
-            if self.root:  # strip any package prefix
-                root_len = len(self.root)
-                for counter in range(len(outputs)):
-                    outputs[counter] = outputs[counter][root_len:]
-            self.execute(
-                write_file,
-                (self.record, outputs),
-                "writing list of installed files to '%s'" % self.record,
-            )
-
-        sys_path = map(os.path.normpath, sys.path)
-        sys_path = map(os.path.normcase, sys_path)
-        install_lib = os.path.normcase(os.path.normpath(self.install_lib))
-        if (
-            self.warn_dir
-            and not (self.path_file and self.install_path_file)
-            and install_lib not in sys_path
-        ):
-            log.debug(
-                (
-                    "modules installed to '%s', which is not in "
-                    "Python's module search path (sys.path) -- "
-                    "you'll have to change the search path yourself"
-                ),
-                self.install_lib,
-            )
-
-    def create_path_file(self):
-        """Creates the .pth file"""
-        filename = os.path.join(self.install_libbase, self.path_file + ".pth")
-        if self.install_path_file:
-            self.execute(
-                write_file, (filename, [self.extra_dirs]), "creating %s" % filename
-            )
-        else:
-            self.warn("path file '%s' not created" % filename)
-
-    # -- Reporting methods ---------------------------------------------
-
-    def get_outputs(self):
-        """Assembles the outputs of all the sub-commands."""
-        outputs = []
-        for cmd_name in self.get_sub_commands():
-            cmd = self.get_finalized_command(cmd_name)
-            # Add the contents of cmd.get_outputs(), ensuring
-            # that outputs doesn't contain duplicate entries
-            for filename in cmd.get_outputs():
-                if filename not in outputs:
-                    outputs.append(filename)
-
-        if self.path_file and self.install_path_file:
-            outputs.append(os.path.join(self.install_libbase, self.path_file + ".pth"))
-
-        return outputs
-
-    def get_inputs(self):
-        """Returns the inputs of all the sub-commands"""
-        # XXX gee, this looks familiar ;-(
-        inputs = []
-        for cmd_name in self.get_sub_commands():
-            cmd = self.get_finalized_command(cmd_name)
-            inputs.extend(cmd.get_inputs())
-
-        return inputs
-
-    # -- Predicates for sub-command list -------------------------------
-
-    def has_lib(self):
-        """Returns true if the current distribution has any Python
-        modules to install."""
-        return (
-            self.distribution.has_pure_modules() or self.distribution.has_ext_modules()
-        )
-
-    def has_headers(self):
-        """Returns true if the current distribution has any headers to
-        install."""
-        return self.distribution.has_headers()
-
-    def has_scripts(self):
-        """Returns true if the current distribution has any scripts to.
-        install."""
-        return self.distribution.has_scripts()
-
-    def has_data(self):
-        """Returns true if the current distribution has any data to.
-        install."""
-        return self.distribution.has_data_files()
-
-    # 'sub_commands': a list of commands this command might have to run to
-    # get its work done.  See cmd.py for more info.
-    sub_commands = [
-        ('install_lib', has_lib),
-        ('install_headers', has_headers),
-        ('install_scripts', has_scripts),
-        ('install_data', has_data),
-        ('install_egg_info', lambda self: True),
-    ]
diff --git a/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_path.py b/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_path.py
deleted file mode 100644
index b99d9dadcfc3789629aa803d3256cd22d2873c29..0000000000000000000000000000000000000000
--- a/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/_path.py
+++ /dev/null
@@ -1,37 +0,0 @@
-import os
-import sys
-from typing import Union
-
-_Path = Union[str, os.PathLike]
-
-
-def ensure_directory(path):
-    """Ensure that the parent directory of `path` exists"""
-    dirname = os.path.dirname(path)
-    os.makedirs(dirname, exist_ok=True)
-
-
-def same_path(p1: _Path, p2: _Path) -> bool:
-    """Differs from os.path.samefile because it does not require paths to exist.
-    Purely string based (no comparison between i-nodes).
-    >>> same_path("a/b", "./a/b")
-    True
-    >>> same_path("a/b", "a/./b")
-    True
-    >>> same_path("a/b", "././a/b")
-    True
-    >>> same_path("a/b", "./a/b/c/..")
-    True
-    >>> same_path("a/b", "../a/b/c")
-    False
-    >>> same_path("a", "a/b")
-    False
-    """
-    return normpath(p1) == normpath(p2)
-
-
-def normpath(filename: _Path) -> str:
-    """Normalize a file/dir name for comparison purposes."""
-    # See pkg_resources.normalize_path for notes about cygwin
-    file = os.path.abspath(filename) if sys.platform == 'cygwin' else filename
-    return os.path.normcase(os.path.realpath(os.path.normpath(file)))
diff --git a/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/command/build_py.py b/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/command/build_py.py
deleted file mode 100644
index f094496e114d17cf8191507edf3c056993b64637..0000000000000000000000000000000000000000
--- a/spaces/pknez/face-swap-docker/mynewshinyroop/Lib/site-packages/setuptools/command/build_py.py
+++ /dev/null
@@ -1,386 +0,0 @@
-from functools import partial
-from glob import glob
-from distutils.util import convert_path
-import distutils.command.build_py as orig
-import os
-import fnmatch
-import textwrap
-import io
-import distutils.errors
-import itertools
-import stat
-from pathlib import Path
-from typing import Dict, Iterable, Iterator, List, Optional, Tuple
-
-from ..extern.more_itertools import unique_everseen
-from ..warnings import SetuptoolsDeprecationWarning
-
-
-def make_writable(target):
-    os.chmod(target, os.stat(target).st_mode | stat.S_IWRITE)
-
-
-class build_py(orig.build_py):
-    """Enhanced 'build_py' command that includes data files with packages
-
-    The data files are specified via a 'package_data' argument to 'setup()'.
-    See 'setuptools.dist.Distribution' for more details.
-
-    Also, this version of the 'build_py' command allows you to specify both
-    'py_modules' and 'packages' in the same setup operation.
-    """
-    editable_mode: bool = False
-    existing_egg_info_dir: Optional[str] = None  #: Private API, internal use only.
-
-    def finalize_options(self):
-        orig.build_py.finalize_options(self)
-        self.package_data = self.distribution.package_data
-        self.exclude_package_data = self.distribution.exclude_package_data or {}
-        if 'data_files' in self.__dict__:
-            del self.__dict__['data_files']
-        self.__updated_files = []
-
-    def copy_file(self, infile, outfile, preserve_mode=1, preserve_times=1,
-                  link=None, level=1):
-        # Overwrite base class to allow using links
-        if link:
-            infile = str(Path(infile).resolve())
-            outfile = str(Path(outfile).resolve())
-        return super().copy_file(infile, outfile, preserve_mode, preserve_times,
-                                 link, level)
-
-    def run(self):
-        """Build modules, packages, and copy data files to build directory"""
-        if not (self.py_modules or self.packages) or self.editable_mode:
-            return
-
-        if self.py_modules:
-            self.build_modules()
-
-        if self.packages:
-            self.build_packages()
-            self.build_package_data()
-
-        # Only compile actual .py files, using our base class' idea of what our
-        # output files are.
-        self.byte_compile(orig.build_py.get_outputs(self, include_bytecode=0))
-
-    def __getattr__(self, attr):
-        "lazily compute data files"
-        if attr == 'data_files':
-            self.data_files = self._get_data_files()
-            return self.data_files
-        return orig.build_py.__getattr__(self, attr)
-
-    def build_module(self, module, module_file, package):
-        outfile, copied = orig.build_py.build_module(self, module, module_file, package)
-        if copied:
-            self.__updated_files.append(outfile)
-        return outfile, copied
-
-    def _get_data_files(self):
-        """Generate list of '(package,src_dir,build_dir,filenames)' tuples"""
-        self.analyze_manifest()
-        return list(map(self._get_pkg_data_files, self.packages or ()))
-
-    def get_data_files_without_manifest(self):
-        """
-        Generate list of ``(package,src_dir,build_dir,filenames)`` tuples,
-        but without triggering any attempt to analyze or build the manifest.
-        """
-        # Prevent eventual errors from unset `manifest_files`
-        # (that would otherwise be set by `analyze_manifest`)
-        self.__dict__.setdefault('manifest_files', {})
-        return list(map(self._get_pkg_data_files, self.packages or ()))
-
-    def _get_pkg_data_files(self, package):
-        # Locate package source directory
-        src_dir = self.get_package_dir(package)
-
-        # Compute package build directory
-        build_dir = os.path.join(*([self.build_lib] + package.split('.')))
-
-        # Strip directory from globbed filenames
-        filenames = [
-            os.path.relpath(file, src_dir)
-            for file in self.find_data_files(package, src_dir)
-        ]
-        return package, src_dir, build_dir, filenames
-
-    def find_data_files(self, package, src_dir):
-        """Return filenames for package's data files in 'src_dir'"""
-        patterns = self._get_platform_patterns(
-            self.package_data,
-            package,
-            src_dir,
-        )
-        globs_expanded = map(partial(glob, recursive=True), patterns)
-        # flatten the expanded globs into an iterable of matches
-        globs_matches = itertools.chain.from_iterable(globs_expanded)
-        glob_files = filter(os.path.isfile, globs_matches)
-        files = itertools.chain(
-            self.manifest_files.get(package, []),
-            glob_files,
-        )
-        return self.exclude_data_files(package, src_dir, files)
-
-    def get_outputs(self, include_bytecode=1) -> List[str]:
-        """See :class:`setuptools.commands.build.SubCommand`"""
-        if self.editable_mode:
-            return list(self.get_output_mapping().keys())
-        return super().get_outputs(include_bytecode)
-
-    def get_output_mapping(self) -> Dict[str, str]:
-        """See :class:`setuptools.commands.build.SubCommand`"""
-        mapping = itertools.chain(
-            self._get_package_data_output_mapping(),
-            self._get_module_mapping(),
-        )
-        return dict(sorted(mapping, key=lambda x: x[0]))
-
-    def _get_module_mapping(self) -> Iterator[Tuple[str, str]]:
-        """Iterate over all modules producing (dest, src) pairs."""
-        for (package, module, module_file) in self.find_all_modules():
-            package = package.split('.')
-            filename = self.get_module_outfile(self.build_lib, package, module)
-            yield (filename, module_file)
-
-    def _get_package_data_output_mapping(self) -> Iterator[Tuple[str, str]]:
-        """Iterate over package data producing (dest, src) pairs."""
-        for package, src_dir, build_dir, filenames in self.data_files:
-            for filename in filenames:
-                target = os.path.join(build_dir, filename)
-                srcfile = os.path.join(src_dir, filename)
-                yield (target, srcfile)
-
-    def build_package_data(self):
-        """Copy data files into build directory"""
-        for target, srcfile in self._get_package_data_output_mapping():
-            self.mkpath(os.path.dirname(target))
-            _outf, _copied = self.copy_file(srcfile, target)
-            make_writable(target)
-
-    def analyze_manifest(self):
-        self.manifest_files = mf = {}
-        if not self.distribution.include_package_data:
-            return
-        src_dirs = {}
-        for package in self.packages or ():
-            # Locate package source directory
-            src_dirs[assert_relative(self.get_package_dir(package))] = package
-
-        if (
-            getattr(self, 'existing_egg_info_dir', None)
-            and Path(self.existing_egg_info_dir, "SOURCES.txt").exists()
-        ):
-            egg_info_dir = self.existing_egg_info_dir
-            manifest = Path(egg_info_dir, "SOURCES.txt")
-            files = manifest.read_text(encoding="utf-8").splitlines()
-        else:
-            self.run_command('egg_info')
-            ei_cmd = self.get_finalized_command('egg_info')
-            egg_info_dir = ei_cmd.egg_info
-            files = ei_cmd.filelist.files
-
-        check = _IncludePackageDataAbuse()
-        for path in self._filter_build_files(files, egg_info_dir):
-            d, f = os.path.split(assert_relative(path))
-            prev = None
-            oldf = f
-            while d and d != prev and d not in src_dirs:
-                prev = d
-                d, df = os.path.split(d)
-                f = os.path.join(df, f)
-            if d in src_dirs:
-                if f == oldf:
-                    if check.is_module(f):
-                        continue  # it's a module, not data
-                else:
-                    importable = check.importable_subpackage(src_dirs[d], f)
-                    if importable:
-                        check.warn(importable)
-                mf.setdefault(src_dirs[d], []).append(path)
-
-    def _filter_build_files(self, files: Iterable[str], egg_info: str) -> Iterator[str]:
-        """
-        ``build_meta`` may try to create egg_info outside of the project directory,
-        and this can be problematic for certain plugins (reported in issue #3500).
-
-        Extensions might also include between their sources files created on the
-        ``build_lib`` and ``build_temp`` directories.
-
-        This function should filter this case of invalid files out.
-        """
-        build = self.get_finalized_command("build")
-        build_dirs = (egg_info, self.build_lib, build.build_temp, build.build_base)
-        norm_dirs = [os.path.normpath(p) for p in build_dirs if p]
-
-        for file in files:
-            norm_path = os.path.normpath(file)
-            if not os.path.isabs(file) or all(d not in norm_path for d in norm_dirs):
-                yield file
-
-    def get_data_files(self):
-        pass  # Lazily compute data files in _get_data_files() function.
-
-    def check_package(self, package, package_dir):
-        """Check namespace packages' __init__ for declare_namespace"""
-        try:
-            return self.packages_checked[package]
-        except KeyError:
-            pass
-
-        init_py = orig.build_py.check_package(self, package, package_dir)
-        self.packages_checked[package] = init_py
-
-        if not init_py or not self.distribution.namespace_packages:
-            return init_py
-
-        for pkg in self.distribution.namespace_packages:
-            if pkg == package or pkg.startswith(package + '.'):
-                break
-        else:
-            return init_py
-
-        with io.open(init_py, 'rb') as f:
-            contents = f.read()
-        if b'declare_namespace' not in contents:
-            raise distutils.errors.DistutilsError(
-                "Namespace package problem: %s is a namespace package, but "
-                "its\n__init__.py does not call declare_namespace()! Please "
-                'fix it.\n(See the setuptools manual under '
-                '"Namespace Packages" for details.)\n"' % (package,)
-            )
-        return init_py
-
-    def initialize_options(self):
-        self.packages_checked = {}
-        orig.build_py.initialize_options(self)
-        self.editable_mode = False
-        self.existing_egg_info_dir = None
-
-    def get_package_dir(self, package):
-        res = orig.build_py.get_package_dir(self, package)
-        if self.distribution.src_root is not None:
-            return os.path.join(self.distribution.src_root, res)
-        return res
-
-    def exclude_data_files(self, package, src_dir, files):
-        """Filter filenames for package's data files in 'src_dir'"""
-        files = list(files)
-        patterns = self._get_platform_patterns(
-            self.exclude_package_data,
-            package,
-            src_dir,
-        )
-        match_groups = (fnmatch.filter(files, pattern) for pattern in patterns)
-        # flatten the groups of matches into an iterable of matches
-        matches = itertools.chain.from_iterable(match_groups)
-        bad = set(matches)
-        keepers = (fn for fn in files if fn not in bad)
-        # ditch dupes
-        return list(unique_everseen(keepers))
-
-    @staticmethod
-    def _get_platform_patterns(spec, package, src_dir):
-        """
-        yield platform-specific path patterns (suitable for glob
-        or fn_match) from a glob-based spec (such as
-        self.package_data or self.exclude_package_data)
-        matching package in src_dir.
-        """
-        raw_patterns = itertools.chain(
-            spec.get('', []),
-            spec.get(package, []),
-        )
-        return (
-            # Each pattern has to be converted to a platform-specific path
-            os.path.join(src_dir, convert_path(pattern))
-            for pattern in raw_patterns
-        )
-
-
-def assert_relative(path):
-    if not os.path.isabs(path):
-        return path
-    from distutils.errors import DistutilsSetupError
-
-    msg = (
-        textwrap.dedent(
-            """
-        Error: setup script specifies an absolute path:
-
-            %s
-
-        setup() arguments must *always* be /-separated paths relative to the
-        setup.py directory, *never* absolute paths.
-        """
-        ).lstrip()
-        % path
-    )
-    raise DistutilsSetupError(msg)
-
-
-class _IncludePackageDataAbuse:
-    """Inform users that package or module is included as 'data file'"""
-
-    class _Warning(SetuptoolsDeprecationWarning):
-        _SUMMARY = """
-        Package {importable!r} is absent from the `packages` configuration.
-        """
-
-        _DETAILS = """
-        ############################
-        # Package would be ignored #
-        ############################
-        Python recognizes {importable!r} as an importable package[^1],
-        but it is absent from setuptools' `packages` configuration.
-
-        This leads to an ambiguous overall configuration. If you want to distribute this
-        package, please make sure that {importable!r} is explicitly added
-        to the `packages` configuration field.
-
-        Alternatively, you can also rely on setuptools' discovery methods
-        (for example by using `find_namespace_packages(...)`/`find_namespace:`
-        instead of `find_packages(...)`/`find:`).
-
-        You can read more about "package discovery" on setuptools documentation page:
-
-        - https://setuptools.pypa.io/en/latest/userguide/package_discovery.html
-
-        If you don't want {importable!r} to be distributed and are
-        already explicitly excluding {importable!r} via
-        `find_namespace_packages(...)/find_namespace` or `find_packages(...)/find`,
-        you can try to use `exclude_package_data`, or `include-package-data=False` in
-        combination with a more fine grained `package-data` configuration.
-
-        You can read more about "package data files" on setuptools documentation page:
-
-        - https://setuptools.pypa.io/en/latest/userguide/datafiles.html
-
-
-        [^1]: For Python, any directory (with suitable naming) can be imported,
-              even if it does not contain any `.py` files.
-              On the other hand, currently there is no concept of package data
-              directory, all directories are treated like packages.
-        """
-        # _DUE_DATE: still not defined as this is particularly controversial.
-        # Warning initially introduced in May 2022. See issue #3340 for discussion.
-
-    def __init__(self):
-        self._already_warned = set()
-
-    def is_module(self, file):
-        return file.endswith(".py") and file[:-len(".py")].isidentifier()
-
-    def importable_subpackage(self, parent, file):
-        pkg = Path(file).parent
-        parts = list(itertools.takewhile(str.isidentifier, pkg.parts))
-        if parts:
-            return ".".join([parent, *parts])
-        return None
-
-    def warn(self, importable):
-        if importable not in self._already_warned:
-            self._Warning.emit(importable=importable)
-            self._already_warned.add(importable)
diff --git a/spaces/prerna9811/Chord/portaudio/test/patest_callbackstop.c b/spaces/prerna9811/Chord/portaudio/test/patest_callbackstop.c
deleted file mode 100644
index fba9dca4dbf3215ee9e5301cd424e1d425ff2b0e..0000000000000000000000000000000000000000
--- a/spaces/prerna9811/Chord/portaudio/test/patest_callbackstop.c
+++ /dev/null
@@ -1,252 +0,0 @@
-/** @file patest_callbackstop.c
-    @ingroup test_src
-    @brief Test the paComplete callback result code.
-    @author Ross Bencina <rossb@audiomulch.com>
-*/
-/*
- * $Id$
- *
- * This program uses the PortAudio Portable Audio Library.
- * For more information see: http://www.portaudio.com/
- * Copyright (c) 1999-2000 Ross Bencina and Phil Burk
- *
- * Permission is hereby granted, free of charge, to any person obtaining
- * a copy of this software and associated documentation files
- * (the "Software"), to deal in the Software without restriction,
- * including without limitation the rights to use, copy, modify, merge,
- * publish, distribute, sublicense, and/or sell copies of the Software,
- * and to permit persons to whom the Software is furnished to do so,
- * subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be
- * included in all copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
- * EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
- * MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
- * IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR
- * ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
- * CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
- * WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
- */
-
-/*
- * The text above constitutes the entire PortAudio license; however,
- * the PortAudio community also makes the following non-binding requests:
- *
- * Any person wishing to distribute modifications to the Software is
- * requested to send the modifications to the original developer so that
- * they can be incorporated into the canonical version. It is also
- * requested that these non-binding requests be included along with the
- * license above.
- */
-
-#include <stdio.h>
-#include <math.h>
-#include "portaudio.h"
-
-#define NUM_SECONDS   (5)
-#define NUM_LOOPS     (4)
-#define SAMPLE_RATE   (44100)
-#define FRAMES_PER_BUFFER  (67)
-
-#ifndef M_PI
-#define M_PI  (3.14159265)
-#endif
-
-#define TABLE_SIZE   (200)
-typedef struct
-{
-    float sine[TABLE_SIZE];
-    int phase;
-    unsigned long generatedFramesCount;
-    volatile int callbackReturnedPaComplete;
-    volatile int callbackInvokedAfterReturningPaComplete;
-    char message[100];
-}
-TestData;
-
-/*
-   This routine will be called by the PortAudio stream when audio is needed.
-   It may be called at interrupt level on some machines so don't do anything
-   that could mess up the system like calling malloc() or free().
-*/
-static int TestCallback( const void *input, void *output,
-                            unsigned long frameCount,
-                            const PaStreamCallbackTimeInfo* timeInfo,
-                            PaStreamCallbackFlags statusFlags,
-                            void *userData )
-{
-    TestData *data = (TestData*)userData;
-    float *out = (float*)output;
-    unsigned long i;
-    float x;
-
-    (void) input;       /* Prevent unused variable warnings. */
-    (void) timeInfo;
-    (void) statusFlags;
-
-
-    if( data->callbackReturnedPaComplete )
-        data->callbackInvokedAfterReturningPaComplete = 1;
-
-    for( i=0; i<frameCount; i++ )
-    {
-        /* generate tone */
-
-        x = data->sine[ data->phase++ ];
-        if( data->phase >= TABLE_SIZE )
-            data->phase -= TABLE_SIZE;
-
-        *out++ = x;  /* left */
-        *out++ = x;  /* right */
-    }
-
-    data->generatedFramesCount += frameCount;
-    if( data->generatedFramesCount >= (NUM_SECONDS * SAMPLE_RATE) )
-    {
-        data->callbackReturnedPaComplete = 1;
-        return paComplete;
-    }
-    else
-    {
-        return paContinue;
-    }
-}
-
-/*
- * This routine is called by portaudio when playback is done.
- */
-static void StreamFinished( void* userData )
-{
-    TestData *data = (TestData *) userData;
-    printf( "Stream Completed: %s\n", data->message );
-}
-
-
-/*----------------------------------------------------------------------------*/
-int main(void);
-int main(void)
-{
-    PaStreamParameters outputParameters;
-    PaStream *stream;
-    PaError err;
-    TestData data;
-    int i, j;
-
-
-    printf( "PortAudio Test: output sine wave. SR = %d, BufSize = %d\n",
-            SAMPLE_RATE, FRAMES_PER_BUFFER );
-
-    /* initialise sinusoidal wavetable */
-    for( i=0; i<TABLE_SIZE; i++ )
-    {
-        data.sine[i] = (float) sin( ((double)i/(double)TABLE_SIZE) * M_PI * 2. );
-    }
-
-    err = Pa_Initialize();
-    if( err != paNoError ) goto error;
-
-    outputParameters.device                    = Pa_GetDefaultOutputDevice();
-    if (outputParameters.device == paNoDevice) {
-        fprintf(stderr,"Error: No default output device.\n");
-        goto error;
-    }
-    outputParameters.channelCount              = 2;               /* stereo output */
-    outputParameters.sampleFormat              = paFloat32;       /* 32 bit floating point output */
-    outputParameters.suggestedLatency          = Pa_GetDeviceInfo( outputParameters.device )->defaultLowOutputLatency;
-    outputParameters.hostApiSpecificStreamInfo = NULL;
-
-    err = Pa_OpenStream(
-              &stream,
-              NULL, /* no input */
-              &outputParameters,
-              SAMPLE_RATE,
-              FRAMES_PER_BUFFER,
-              paClipOff,      /* output will be in-range, so no need to clip */
-              TestCallback,
-              &data );
-    if( err != paNoError ) goto error;
-
-    sprintf( data.message, "Loop: XX" );
-    err = Pa_SetStreamFinishedCallback( stream, &StreamFinished );
-    if( err != paNoError ) goto error;
-
-    printf("Repeating test %d times.\n", NUM_LOOPS );
-
-    for( i=0; i < NUM_LOOPS; ++i )
-    {
-        data.phase = 0;
-        data.generatedFramesCount = 0;
-        data.callbackReturnedPaComplete = 0;
-        data.callbackInvokedAfterReturningPaComplete = 0;
-        sprintf( data.message, "Loop: %d", i );
-
-        err = Pa_StartStream( stream );
-        if( err != paNoError ) goto error;
-
-        printf("Play for %d seconds.\n", NUM_SECONDS );
-
-        /* wait for the callback to complete generating NUM_SECONDS of tone */
-
-        do
-        {
-            Pa_Sleep( 500 );
-        }
-        while( !data.callbackReturnedPaComplete );
-
-        printf( "Callback returned paComplete.\n" );
-        printf( "Waiting for buffers to finish playing...\n" );
-
-        /* wait for stream to become inactive,
-           or for a timeout of approximately NUM_SECONDS
-         */
-
-        j = 0;
-        while( (err = Pa_IsStreamActive( stream )) == 1 && j < NUM_SECONDS * 2 )
-        {
-            printf(".\n" );
-            Pa_Sleep( 500 );
-            ++j;
-        }
-
-        if( err < 0 )
-        {
-            goto error;
-        }
-        else if( err == 1 )
-        {
-            printf( "TEST FAILED: Timed out waiting for buffers to finish playing.\n" );
-        }
-        else
-        {
-            printf("Buffers finished.\n" );
-        }
-
-        if( data.callbackInvokedAfterReturningPaComplete )
-        {
-            printf( "TEST FAILED: Callback was invoked after returning paComplete.\n" );
-        }
-
-
-        err = Pa_StopStream( stream );
-        if( err != paNoError ) goto error;
-
-        printf( "sleeping for 1 second...\n" );
-        Pa_Sleep( 1000 );
-    }
-
-    err = Pa_CloseStream( stream );
-    if( err != paNoError ) goto error;
-
-    Pa_Terminate();
-    printf("Test finished.\n");
-
-    return err;
-error:
-    Pa_Terminate();
-    fprintf( stderr, "An error occurred while using the portaudio stream\n" );
-    fprintf( stderr, "Error number: %d\n", err );
-    fprintf( stderr, "Error message: %s\n", Pa_GetErrorText( err ) );
-    return err;
-}
diff --git a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/gradio/templates/cdn/assets/Index-c83d1f34.js b/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/gradio/templates/cdn/assets/Index-c83d1f34.js
deleted file mode 100644
index 607f59c16bbe3cf02dc2f10e210451410594f994..0000000000000000000000000000000000000000
--- a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/gradio/templates/cdn/assets/Index-c83d1f34.js
+++ /dev/null
@@ -1,2 +0,0 @@
-import{B as W}from"./Button-89057c03.js";import{B as X}from"./BlockTitle-49fa584d.js";import{S as Y}from"./Index-37584f50.js";import"./index-0526d562.js";import"./svelte/svelte.js";import"./Info-586340e7.js";const{SvelteComponent:Z,append:S,assign:y,attr:k,create_component:A,destroy_component:D,destroy_each:p,detach:j,element:I,ensure_array_like:J,get_spread_object:x,get_spread_update:$,init:ee,insert:B,listen:z,mount_component:F,run_all:le,safe_not_equal:te,set_data:M,space:T,text:N,toggle_class:C,transition_in:G,transition_out:H}=window.__gradio__svelte__internal,{afterUpdate:ne}=window.__gradio__svelte__internal;function K(e,l,t){const s=e.slice();return s[22]=l[t],s[24]=t,s}function ie(e){let l;return{c(){l=N(e[9])},m(t,s){B(t,l,s)},p(t,s){s&512&&M(l,t[9])},d(t){t&&j(l)}}}function L(e){let l,t,s,a,_,b,h,r=e[22][0]+"",c,f,n,u;function g(){return e[18](e[22])}function w(...d){return e[19](e[24],e[22],...d)}function o(...d){return 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i&&t(12,m=i.loading_status),"interactive"in i&&t(16,q=i.interactive)},e.$$.update=()=>{e.$$.dirty&65536&&t(13,s=!q),e.$$.dirty&131072&&(t(0,r=[...v]),P())},[r,a,_,b,h,f,n,u,g,w,o,d,m,s,E,c,q,v,Q,R,V]}class me extends Z{constructor(l){super(),ee(this,l,_e,ae,te,{gradio:1,elem_id:2,elem_classes:3,visible:4,value:0,value_is_output:15,choices:5,container:6,scale:7,min_width:8,label:9,info:10,show_label:11,loading_status:12,interactive:16})}}export{me as default};
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diff --git a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/gradio/templates/frontend/assets/index-c1421b46.js b/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/gradio/templates/frontend/assets/index-c1421b46.js
deleted file mode 100644
index 9e4abc5134aec8c9f48bd2511e31b614680de11a..0000000000000000000000000000000000000000
--- a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/gradio/templates/frontend/assets/index-c1421b46.js
+++ /dev/null
@@ -1,2 +0,0 @@
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a=e.node;;){let r=a.lastChild;if(!r||r.name!="Element"||r.to!=a.to)break;t=a=r}return t&&!((l=t.lastChild)&&(l.name=="CloseTag"||l.name=="SelfClosingTag"))?e.lineIndent(t.from)+e.unit:null}}),_e.add({Element(e){let t=e.firstChild,l=e.lastChild;return!t||t.name!="OpenTag"?null:{from:t.to,to:l.name=="CloseTag"?l.from:e.to}}}),ye.add({"OpenTag CloseTag":e=>e.getChild("TagName")})],wrap:ue(me,Se)}),languageData:{commentTokens:{block:{open:"<!--",close:"-->"}},indentOnInput:/^\s*<\/\w+\W$/,wordChars:"-._"}});function Mt(e={}){let t="",l;e.matchClosingTags===!1&&(t="noMatch"),e.selfClosingTags===!0&&(t=(t?t+" ":"")+"selfClosing"),(e.nestedLanguages&&e.nestedLanguages.length||e.nestedAttributes&&e.nestedAttributes.length)&&(l=ue((e.nestedLanguages||[]).concat(me),(e.nestedAttributes||[]).concat(Se)));let a=l||t?_.configure({dialect:t,wrap:l}):_;return new ve(a,[_.data.of({autocomplete:Tt(e)}),e.autoCloseTags!==!1?bt:[],Ae().support,$e().support])}const L=new Set("area base br col command embed frame hr img input keygen link meta param source track wbr menuitem".split(" ")),bt=qe.inputHandler.of((e,t,l,a)=>{if(e.composing||e.state.readOnly||t!=l||a!=">"&&a!="/"||!_.isActiveAt(e.state,t,-1))return!1;let{state:r}=e,n=r.changeByRange(o=>{var O,p,h;let{head:i}=o,u=z(r).resolveInner(i,-1),c;if((u.name=="TagName"||u.name=="StartTag")&&(u=u.parent),a==">"&&u.name=="OpenTag"){if(((p=(O=u.parent)===null||O===void 0?void 0:O.lastChild)===null||p===void 0?void 0:p.name)!="CloseTag"&&(c=g(r.doc,u.parent,i))&&!L.has(c)){let d=e.state.doc.sliceString(i,i+1)===">",f=`${d?"":">"}</${c}>`;return{range:G.cursor(i+1),changes:{from:i+(d?1:0),insert:f}}}}else if(a=="/"&&u.name=="OpenTag"){let d=u.parent,f=d?.parent;if(d.from==i-1&&((h=f.lastChild)===null||h===void 0?void 0:h.name)!="CloseTag"&&(c=g(r.doc,f,i))&&!L.has(c)){let P=e.state.doc.sliceString(i,i+1)===">",T=`/${c}${P?"":">"}`,x=i+T.length+(P?1:0);return{range:G.cursor(x),changes:{from:i,insert:T}}}}return{range:o}});return n.changes.empty?!1:(e.dispatch(n,{userEvent:"input.type",scrollIntoView:!0}),!0)});export{bt as autoCloseTags,Mt as html,Yt as htmlCompletionSource,Tt as htmlCompletionSourceWith,_ as htmlLanguage};
-//# sourceMappingURL=index-c1421b46.js.map
diff --git a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/numpy/distutils/command/config.py b/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/numpy/distutils/command/config.py
deleted file mode 100644
index fdb650d366003fab7c78f7e1960fe4ccbb8f1166..0000000000000000000000000000000000000000
--- a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/numpy/distutils/command/config.py
+++ /dev/null
@@ -1,516 +0,0 @@
-# Added Fortran compiler support to config. Currently useful only for
-# try_compile call. try_run works but is untested for most of Fortran
-# compilers (they must define linker_exe first).
-# Pearu Peterson
-import os
-import signal
-import subprocess
-import sys
-import textwrap
-import warnings
-
-from distutils.command.config import config as old_config
-from distutils.command.config import LANG_EXT
-from distutils import log
-from distutils.file_util import copy_file
-from distutils.ccompiler import CompileError, LinkError
-import distutils
-from numpy.distutils.exec_command import filepath_from_subprocess_output
-from numpy.distutils.mingw32ccompiler import generate_manifest
-from numpy.distutils.command.autodist import (check_gcc_function_attribute,
-                                              check_gcc_function_attribute_with_intrinsics,
-                                              check_gcc_variable_attribute,
-                                              check_gcc_version_at_least,
-                                              check_inline,
-                                              check_restrict,
-                                              check_compiler_gcc)
-
-LANG_EXT['f77'] = '.f'
-LANG_EXT['f90'] = '.f90'
-
-class config(old_config):
-    old_config.user_options += [
-        ('fcompiler=', None, "specify the Fortran compiler type"),
-        ]
-
-    def initialize_options(self):
-        self.fcompiler = None
-        old_config.initialize_options(self)
-
-    def _check_compiler (self):
-        old_config._check_compiler(self)
-        from numpy.distutils.fcompiler import FCompiler, new_fcompiler
-
-        if sys.platform == 'win32' and (self.compiler.compiler_type in
-                                        ('msvc', 'intelw', 'intelemw')):
-            # XXX: hack to circumvent a python 2.6 bug with msvc9compiler:
-            # initialize call query_vcvarsall, which throws an IOError, and
-            # causes an error along the way without much information. We try to
-            # catch it here, hoping it is early enough, and print a helpful
-            # message instead of Error: None.
-            if not self.compiler.initialized:
-                try:
-                    self.compiler.initialize()
-                except IOError as e:
-                    msg = textwrap.dedent("""\
-                        Could not initialize compiler instance: do you have Visual Studio
-                        installed?  If you are trying to build with MinGW, please use "python setup.py
-                        build -c mingw32" instead.  If you have Visual Studio installed, check it is
-                        correctly installed, and the right version (VS 2015 as of this writing).
-
-                        Original exception was: %s, and the Compiler class was %s
-                        ============================================================================""") \
-                        % (e, self.compiler.__class__.__name__)
-                    print(textwrap.dedent("""\
-                        ============================================================================"""))
-                    raise distutils.errors.DistutilsPlatformError(msg) from e
-
-            # After MSVC is initialized, add an explicit /MANIFEST to linker
-            # flags.  See issues gh-4245 and gh-4101 for details.  Also
-            # relevant are issues 4431 and 16296 on the Python bug tracker.
-            from distutils import msvc9compiler
-            if msvc9compiler.get_build_version() >= 10:
-                for ldflags in [self.compiler.ldflags_shared,
-                                self.compiler.ldflags_shared_debug]:
-                    if '/MANIFEST' not in ldflags:
-                        ldflags.append('/MANIFEST')
-
-        if not isinstance(self.fcompiler, FCompiler):
-            self.fcompiler = new_fcompiler(compiler=self.fcompiler,
-                                           dry_run=self.dry_run, force=1,
-                                           c_compiler=self.compiler)
-            if self.fcompiler is not None:
-                self.fcompiler.customize(self.distribution)
-                if self.fcompiler.get_version():
-                    self.fcompiler.customize_cmd(self)
-                    self.fcompiler.show_customization()
-
-    def _wrap_method(self, mth, lang, args):
-        from distutils.ccompiler import CompileError
-        from distutils.errors import DistutilsExecError
-        save_compiler = self.compiler
-        if lang in ['f77', 'f90']:
-            self.compiler = self.fcompiler
-        if self.compiler is None:
-            raise CompileError('%s compiler is not set' % (lang,))
-        try:
-            ret = mth(*((self,)+args))
-        except (DistutilsExecError, CompileError) as e:
-            self.compiler = save_compiler
-            raise CompileError from e
-        self.compiler = save_compiler
-        return ret
-
-    def _compile (self, body, headers, include_dirs, lang):
-        src, obj = self._wrap_method(old_config._compile, lang,
-                                     (body, headers, include_dirs, lang))
-        # _compile in unixcompiler.py sometimes creates .d dependency files.
-        # Clean them up.
-        self.temp_files.append(obj + '.d')
-        return src, obj
-
-    def _link (self, body,
-               headers, include_dirs,
-               libraries, library_dirs, lang):
-        if self.compiler.compiler_type=='msvc':
-            libraries = (libraries or [])[:]
-            library_dirs = (library_dirs or [])[:]
-            if lang in ['f77', 'f90']:
-                lang = 'c' # always use system linker when using MSVC compiler
-                if self.fcompiler:
-                    for d in self.fcompiler.library_dirs or []:
-                        # correct path when compiling in Cygwin but with
-                        # normal Win Python
-                        if d.startswith('/usr/lib'):
-                            try:
-                                d = subprocess.check_output(['cygpath',
-                                                             '-w', d])
-                            except (OSError, subprocess.CalledProcessError):
-                                pass
-                            else:
-                                d = filepath_from_subprocess_output(d)
-                        library_dirs.append(d)
-                    for libname in self.fcompiler.libraries or []:
-                        if libname not in libraries:
-                            libraries.append(libname)
-            for libname in libraries:
-                if libname.startswith('msvc'): continue
-                fileexists = False
-                for libdir in library_dirs or []:
-                    libfile = os.path.join(libdir, '%s.lib' % (libname))
-                    if os.path.isfile(libfile):
-                        fileexists = True
-                        break
-                if fileexists: continue
-                # make g77-compiled static libs available to MSVC
-                fileexists = False
-                for libdir in library_dirs:
-                    libfile = os.path.join(libdir, 'lib%s.a' % (libname))
-                    if os.path.isfile(libfile):
-                        # copy libname.a file to name.lib so that MSVC linker
-                        # can find it
-                        libfile2 = os.path.join(libdir, '%s.lib' % (libname))
-                        copy_file(libfile, libfile2)
-                        self.temp_files.append(libfile2)
-                        fileexists = True
-                        break
-                if fileexists: continue
-                log.warn('could not find library %r in directories %s' \
-                         % (libname, library_dirs))
-        elif self.compiler.compiler_type == 'mingw32':
-            generate_manifest(self)
-        return self._wrap_method(old_config._link, lang,
-                                 (body, headers, include_dirs,
-                                  libraries, library_dirs, lang))
-
-    def check_header(self, header, include_dirs=None, library_dirs=None, lang='c'):
-        self._check_compiler()
-        return self.try_compile(
-                "/* we need a dummy line to make distutils happy */",
-                [header], include_dirs)
-
-    def check_decl(self, symbol,
-                   headers=None, include_dirs=None):
-        self._check_compiler()
-        body = textwrap.dedent("""
-            int main(void)
-            {
-            #ifndef %s
-                (void) %s;
-            #endif
-                ;
-                return 0;
-            }""") % (symbol, symbol)
-
-        return self.try_compile(body, headers, include_dirs)
-
-    def check_macro_true(self, symbol,
-                         headers=None, include_dirs=None):
-        self._check_compiler()
-        body = textwrap.dedent("""
-            int main(void)
-            {
-            #if %s
-            #else
-            #error false or undefined macro
-            #endif
-                ;
-                return 0;
-            }""") % (symbol,)
-
-        return self.try_compile(body, headers, include_dirs)
-
-    def check_type(self, type_name, headers=None, include_dirs=None,
-            library_dirs=None):
-        """Check type availability. Return True if the type can be compiled,
-        False otherwise"""
-        self._check_compiler()
-
-        # First check the type can be compiled
-        body = textwrap.dedent(r"""
-            int main(void) {
-              if ((%(name)s *) 0)
-                return 0;
-              if (sizeof (%(name)s))
-                return 0;
-            }
-            """) % {'name': type_name}
-
-        st = False
-        try:
-            try:
-                self._compile(body % {'type': type_name},
-                        headers, include_dirs, 'c')
-                st = True
-            except distutils.errors.CompileError:
-                st = False
-        finally:
-            self._clean()
-
-        return st
-
-    def check_type_size(self, type_name, headers=None, include_dirs=None, library_dirs=None, expected=None):
-        """Check size of a given type."""
-        self._check_compiler()
-
-        # First check the type can be compiled
-        body = textwrap.dedent(r"""
-            typedef %(type)s npy_check_sizeof_type;
-            int main (void)
-            {
-                static int test_array [1 - 2 * !(((long) (sizeof (npy_check_sizeof_type))) >= 0)];
-                test_array [0] = 0
-
-                ;
-                return 0;
-            }
-            """)
-        self._compile(body % {'type': type_name},
-                headers, include_dirs, 'c')
-        self._clean()
-
-        if expected:
-            body = textwrap.dedent(r"""
-                typedef %(type)s npy_check_sizeof_type;
-                int main (void)
-                {
-                    static int test_array [1 - 2 * !(((long) (sizeof (npy_check_sizeof_type))) == %(size)s)];
-                    test_array [0] = 0
-
-                    ;
-                    return 0;
-                }
-                """)
-            for size in expected:
-                try:
-                    self._compile(body % {'type': type_name, 'size': size},
-                            headers, include_dirs, 'c')
-                    self._clean()
-                    return size
-                except CompileError:
-                    pass
-
-        # this fails to *compile* if size > sizeof(type)
-        body = textwrap.dedent(r"""
-            typedef %(type)s npy_check_sizeof_type;
-            int main (void)
-            {
-                static int test_array [1 - 2 * !(((long) (sizeof (npy_check_sizeof_type))) <= %(size)s)];
-                test_array [0] = 0
-
-                ;
-                return 0;
-            }
-            """)
-
-        # The principle is simple: we first find low and high bounds of size
-        # for the type, where low/high are looked up on a log scale. Then, we
-        # do a binary search to find the exact size between low and high
-        low = 0
-        mid = 0
-        while True:
-            try:
-                self._compile(body % {'type': type_name, 'size': mid},
-                        headers, include_dirs, 'c')
-                self._clean()
-                break
-            except CompileError:
-                #log.info("failure to test for bound %d" % mid)
-                low = mid + 1
-                mid = 2 * mid + 1
-
-        high = mid
-        # Binary search:
-        while low != high:
-            mid = (high - low) // 2 + low
-            try:
-                self._compile(body % {'type': type_name, 'size': mid},
-                        headers, include_dirs, 'c')
-                self._clean()
-                high = mid
-            except CompileError:
-                low = mid + 1
-        return low
-
-    def check_func(self, func,
-                   headers=None, include_dirs=None,
-                   libraries=None, library_dirs=None,
-                   decl=False, call=False, call_args=None):
-        # clean up distutils's config a bit: add void to main(), and
-        # return a value.
-        self._check_compiler()
-        body = []
-        if decl:
-            if type(decl) == str:
-                body.append(decl)
-            else:
-                body.append("int %s (void);" % func)
-        # Handle MSVC intrinsics: force MS compiler to make a function call.
-        # Useful to test for some functions when built with optimization on, to
-        # avoid build error because the intrinsic and our 'fake' test
-        # declaration do not match.
-        body.append("#ifdef _MSC_VER")
-        body.append("#pragma function(%s)" % func)
-        body.append("#endif")
-        body.append("int main (void) {")
-        if call:
-            if call_args is None:
-                call_args = ''
-            body.append("  %s(%s);" % (func, call_args))
-        else:
-            body.append("  %s;" % func)
-        body.append("  return 0;")
-        body.append("}")
-        body = '\n'.join(body) + "\n"
-
-        return self.try_link(body, headers, include_dirs,
-                             libraries, library_dirs)
-
-    def check_funcs_once(self, funcs,
-                   headers=None, include_dirs=None,
-                   libraries=None, library_dirs=None,
-                   decl=False, call=False, call_args=None):
-        """Check a list of functions at once.
-
-        This is useful to speed up things, since all the functions in the funcs
-        list will be put in one compilation unit.
-
-        Arguments
-        ---------
-        funcs : seq
-            list of functions to test
-        include_dirs : seq
-            list of header paths
-        libraries : seq
-            list of libraries to link the code snippet to
-        library_dirs : seq
-            list of library paths
-        decl : dict
-            for every (key, value), the declaration in the value will be
-            used for function in key. If a function is not in the
-            dictionary, no declaration will be used.
-        call : dict
-            for every item (f, value), if the value is True, a call will be
-            done to the function f.
-        """
-        self._check_compiler()
-        body = []
-        if decl:
-            for f, v in decl.items():
-                if v:
-                    body.append("int %s (void);" % f)
-
-        # Handle MS intrinsics. See check_func for more info.
-        body.append("#ifdef _MSC_VER")
-        for func in funcs:
-            body.append("#pragma function(%s)" % func)
-        body.append("#endif")
-
-        body.append("int main (void) {")
-        if call:
-            for f in funcs:
-                if f in call and call[f]:
-                    if not (call_args and f in call_args and call_args[f]):
-                        args = ''
-                    else:
-                        args = call_args[f]
-                    body.append("  %s(%s);" % (f, args))
-                else:
-                    body.append("  %s;" % f)
-        else:
-            for f in funcs:
-                body.append("  %s;" % f)
-        body.append("  return 0;")
-        body.append("}")
-        body = '\n'.join(body) + "\n"
-
-        return self.try_link(body, headers, include_dirs,
-                             libraries, library_dirs)
-
-    def check_inline(self):
-        """Return the inline keyword recognized by the compiler, empty string
-        otherwise."""
-        return check_inline(self)
-
-    def check_restrict(self):
-        """Return the restrict keyword recognized by the compiler, empty string
-        otherwise."""
-        return check_restrict(self)
-
-    def check_compiler_gcc(self):
-        """Return True if the C compiler is gcc"""
-        return check_compiler_gcc(self)
-
-    def check_gcc_function_attribute(self, attribute, name):
-        return check_gcc_function_attribute(self, attribute, name)
-
-    def check_gcc_function_attribute_with_intrinsics(self, attribute, name,
-                                                     code, include):
-        return check_gcc_function_attribute_with_intrinsics(self, attribute,
-                                                            name, code, include)
-
-    def check_gcc_variable_attribute(self, attribute):
-        return check_gcc_variable_attribute(self, attribute)
-
-    def check_gcc_version_at_least(self, major, minor=0, patchlevel=0):
-        """Return True if the GCC version is greater than or equal to the
-        specified version."""
-        return check_gcc_version_at_least(self, major, minor, patchlevel)
-
-    def get_output(self, body, headers=None, include_dirs=None,
-                   libraries=None, library_dirs=None,
-                   lang="c", use_tee=None):
-        """Try to compile, link to an executable, and run a program
-        built from 'body' and 'headers'. Returns the exit status code
-        of the program and its output.
-        """
-        # 2008-11-16, RemoveMe
-        warnings.warn("\n+++++++++++++++++++++++++++++++++++++++++++++++++\n"
-                      "Usage of get_output is deprecated: please do not \n"
-                      "use it anymore, and avoid configuration checks \n"
-                      "involving running executable on the target machine.\n"
-                      "+++++++++++++++++++++++++++++++++++++++++++++++++\n",
-                      DeprecationWarning, stacklevel=2)
-        self._check_compiler()
-        exitcode, output = 255, ''
-        try:
-            grabber = GrabStdout()
-            try:
-                src, obj, exe = self._link(body, headers, include_dirs,
-                                           libraries, library_dirs, lang)
-                grabber.restore()
-            except Exception:
-                output = grabber.data
-                grabber.restore()
-                raise
-            exe = os.path.join('.', exe)
-            try:
-                # specify cwd arg for consistency with
-                # historic usage pattern of exec_command()
-                # also, note that exe appears to be a string,
-                # which exec_command() handled, but we now
-                # use a list for check_output() -- this assumes
-                # that exe is always a single command
-                output = subprocess.check_output([exe], cwd='.')
-            except subprocess.CalledProcessError as exc:
-                exitstatus = exc.returncode
-                output = ''
-            except OSError:
-                # preserve the EnvironmentError exit status
-                # used historically in exec_command()
-                exitstatus = 127
-                output = ''
-            else:
-                output = filepath_from_subprocess_output(output)
-            if hasattr(os, 'WEXITSTATUS'):
-                exitcode = os.WEXITSTATUS(exitstatus)
-                if os.WIFSIGNALED(exitstatus):
-                    sig = os.WTERMSIG(exitstatus)
-                    log.error('subprocess exited with signal %d' % (sig,))
-                    if sig == signal.SIGINT:
-                        # control-C
-                        raise KeyboardInterrupt
-            else:
-                exitcode = exitstatus
-            log.info("success!")
-        except (CompileError, LinkError):
-            log.info("failure.")
-        self._clean()
-        return exitcode, output
-
-class GrabStdout:
-
-    def __init__(self):
-        self.sys_stdout = sys.stdout
-        self.data = ''
-        sys.stdout = self
-
-    def write (self, data):
-        self.sys_stdout.write(data)
-        self.data += data
-
-    def flush (self):
-        self.sys_stdout.flush()
-
-    def restore(self):
-        sys.stdout = self.sys_stdout
diff --git a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pandas/tests/arrays/boolean/test_repr.py b/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pandas/tests/arrays/boolean/test_repr.py
deleted file mode 100644
index 0ee904b18cc9ec6197ed3ad009fae1da593c5219..0000000000000000000000000000000000000000
--- a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pandas/tests/arrays/boolean/test_repr.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import pandas as pd
-
-
-def test_repr():
-    df = pd.DataFrame({"A": pd.array([True, False, None], dtype="boolean")})
-    expected = "       A\n0   True\n1  False\n2   <NA>"
-    assert repr(df) == expected
-
-    expected = "0     True\n1    False\n2     <NA>\nName: A, dtype: boolean"
-    assert repr(df.A) == expected
-
-    expected = "<BooleanArray>\n[True, False, <NA>]\nLength: 3, dtype: boolean"
-    assert repr(df.A.array) == expected
diff --git a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pandas/tests/extension/base/getitem.py b/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pandas/tests/extension/base/getitem.py
deleted file mode 100644
index 5f0c1b960a4758e7cd5423188d5f190922b4eee4..0000000000000000000000000000000000000000
--- a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pandas/tests/extension/base/getitem.py
+++ /dev/null
@@ -1,469 +0,0 @@
-import numpy as np
-import pytest
-
-import pandas as pd
-import pandas._testing as tm
-
-
-class BaseGetitemTests:
-    """Tests for ExtensionArray.__getitem__."""
-
-    def test_iloc_series(self, data):
-        ser = pd.Series(data)
-        result = ser.iloc[:4]
-        expected = pd.Series(data[:4])
-        tm.assert_series_equal(result, expected)
-
-        result = ser.iloc[[0, 1, 2, 3]]
-        tm.assert_series_equal(result, expected)
-
-    def test_iloc_frame(self, data):
-        df = pd.DataFrame({"A": data, "B": np.arange(len(data), dtype="int64")})
-        expected = pd.DataFrame({"A": data[:4]})
-
-        # slice -> frame
-        result = df.iloc[:4, [0]]
-        tm.assert_frame_equal(result, expected)
-
-        # sequence -> frame
-        result = df.iloc[[0, 1, 2, 3], [0]]
-        tm.assert_frame_equal(result, expected)
-
-        expected = pd.Series(data[:4], name="A")
-
-        # slice -> series
-        result = df.iloc[:4, 0]
-        tm.assert_series_equal(result, expected)
-
-        # sequence -> series
-        result = df.iloc[:4, 0]
-        tm.assert_series_equal(result, expected)
-
-        # GH#32959 slice columns with step
-        result = df.iloc[:, ::2]
-        tm.assert_frame_equal(result, df[["A"]])
-        result = df[["B", "A"]].iloc[:, ::2]
-        tm.assert_frame_equal(result, df[["B"]])
-
-    def test_iloc_frame_single_block(self, data):
-        # GH#32959 null slice along index, slice along columns with single-block
-        df = pd.DataFrame({"A": data})
-
-        result = df.iloc[:, :]
-        tm.assert_frame_equal(result, df)
-
-        result = df.iloc[:, :1]
-        tm.assert_frame_equal(result, df)
-
-        result = df.iloc[:, :2]
-        tm.assert_frame_equal(result, df)
-
-        result = df.iloc[:, ::2]
-        tm.assert_frame_equal(result, df)
-
-        result = df.iloc[:, 1:2]
-        tm.assert_frame_equal(result, df.iloc[:, :0])
-
-        result = df.iloc[:, -1:]
-        tm.assert_frame_equal(result, df)
-
-    def test_loc_series(self, data):
-        ser = pd.Series(data)
-        result = ser.loc[:3]
-        expected = pd.Series(data[:4])
-        tm.assert_series_equal(result, expected)
-
-        result = ser.loc[[0, 1, 2, 3]]
-        tm.assert_series_equal(result, expected)
-
-    def test_loc_frame(self, data):
-        df = pd.DataFrame({"A": data, "B": np.arange(len(data), dtype="int64")})
-        expected = pd.DataFrame({"A": data[:4]})
-
-        # slice -> frame
-        result = df.loc[:3, ["A"]]
-        tm.assert_frame_equal(result, expected)
-
-        # sequence -> frame
-        result = df.loc[[0, 1, 2, 3], ["A"]]
-        tm.assert_frame_equal(result, expected)
-
-        expected = pd.Series(data[:4], name="A")
-
-        # slice -> series
-        result = df.loc[:3, "A"]
-        tm.assert_series_equal(result, expected)
-
-        # sequence -> series
-        result = df.loc[:3, "A"]
-        tm.assert_series_equal(result, expected)
-
-    def test_loc_iloc_frame_single_dtype(self, data):
-        # GH#27110 bug in ExtensionBlock.iget caused df.iloc[n] to incorrectly
-        #  return a scalar
-        df = pd.DataFrame({"A": data})
-        expected = pd.Series([data[2]], index=["A"], name=2, dtype=data.dtype)
-
-        result = df.loc[2]
-        tm.assert_series_equal(result, expected)
-
-        expected = pd.Series(
-            [data[-1]], index=["A"], name=len(data) - 1, dtype=data.dtype
-        )
-        result = df.iloc[-1]
-        tm.assert_series_equal(result, expected)
-
-    def test_getitem_scalar(self, data):
-        result = data[0]
-        assert isinstance(result, data.dtype.type)
-
-        result = pd.Series(data)[0]
-        assert isinstance(result, data.dtype.type)
-
-    def test_getitem_invalid(self, data):
-        # TODO: box over scalar, [scalar], (scalar,)?
-
-        msg = (
-            r"only integers, slices \(`:`\), ellipsis \(`...`\), numpy.newaxis "
-            r"\(`None`\) and integer or boolean arrays are valid indices"
-        )
-        with pytest.raises(IndexError, match=msg):
-            data["foo"]
-        with pytest.raises(IndexError, match=msg):
-            data[2.5]
-
-        ub = len(data)
-        msg = "|".join(
-            [
-                "list index out of range",  # json
-                "index out of bounds",  # pyarrow
-                "Out of bounds access",  # Sparse
-                f"loc must be an integer between -{ub} and {ub}",  # Sparse
-                f"index {ub+1} is out of bounds for axis 0 with size {ub}",
-                f"index -{ub+1} is out of bounds for axis 0 with size {ub}",
-            ]
-        )
-        with pytest.raises(IndexError, match=msg):
-            data[ub + 1]
-        with pytest.raises(IndexError, match=msg):
-            data[-ub - 1]
-
-    def test_getitem_scalar_na(self, data_missing, na_cmp, na_value):
-        result = data_missing[0]
-        assert na_cmp(result, na_value)
-
-    def test_getitem_empty(self, data):
-        # Indexing with empty list
-        result = data[[]]
-        assert len(result) == 0
-        assert isinstance(result, type(data))
-
-        expected = data[np.array([], dtype="int64")]
-        tm.assert_extension_array_equal(result, expected)
-
-    def test_getitem_mask(self, data):
-        # Empty mask, raw array
-        mask = np.zeros(len(data), dtype=bool)
-        result = data[mask]
-        assert len(result) == 0
-        assert isinstance(result, type(data))
-
-        # Empty mask, in series
-        mask = np.zeros(len(data), dtype=bool)
-        result = pd.Series(data)[mask]
-        assert len(result) == 0
-        assert result.dtype == data.dtype
-
-        # non-empty mask, raw array
-        mask[0] = True
-        result = data[mask]
-        assert len(result) == 1
-        assert isinstance(result, type(data))
-
-        # non-empty mask, in series
-        result = pd.Series(data)[mask]
-        assert len(result) == 1
-        assert result.dtype == data.dtype
-
-    def test_getitem_mask_raises(self, data):
-        mask = np.array([True, False])
-        msg = f"Boolean index has wrong length: 2 instead of {len(data)}"
-        with pytest.raises(IndexError, match=msg):
-            data[mask]
-
-        mask = pd.array(mask, dtype="boolean")
-        with pytest.raises(IndexError, match=msg):
-            data[mask]
-
-    def test_getitem_boolean_array_mask(self, data):
-        mask = pd.array(np.zeros(data.shape, dtype="bool"), dtype="boolean")
-        result = data[mask]
-        assert len(result) == 0
-        assert isinstance(result, type(data))
-
-        result = pd.Series(data)[mask]
-        assert len(result) == 0
-        assert result.dtype == data.dtype
-
-        mask[:5] = True
-        expected = data.take([0, 1, 2, 3, 4])
-        result = data[mask]
-        tm.assert_extension_array_equal(result, expected)
-
-        expected = pd.Series(expected)
-        result = pd.Series(data)[mask]
-        tm.assert_series_equal(result, expected)
-
-    def test_getitem_boolean_na_treated_as_false(self, data):
-        # https://github.com/pandas-dev/pandas/issues/31503
-        mask = pd.array(np.zeros(data.shape, dtype="bool"), dtype="boolean")
-        mask[:2] = pd.NA
-        mask[2:4] = True
-
-        result = data[mask]
-        expected = data[mask.fillna(False)]
-
-        tm.assert_extension_array_equal(result, expected)
-
-        s = pd.Series(data)
-
-        result = s[mask]
-        expected = s[mask.fillna(False)]
-
-        tm.assert_series_equal(result, expected)
-
-    @pytest.mark.parametrize(
-        "idx",
-        [[0, 1, 2], pd.array([0, 1, 2], dtype="Int64"), np.array([0, 1, 2])],
-        ids=["list", "integer-array", "numpy-array"],
-    )
-    def test_getitem_integer_array(self, data, idx):
-        result = data[idx]
-        assert len(result) == 3
-        assert isinstance(result, type(data))
-        expected = data.take([0, 1, 2])
-        tm.assert_extension_array_equal(result, expected)
-
-        expected = pd.Series(expected)
-        result = pd.Series(data)[idx]
-        tm.assert_series_equal(result, expected)
-
-    @pytest.mark.parametrize(
-        "idx",
-        [[0, 1, 2, pd.NA], pd.array([0, 1, 2, pd.NA], dtype="Int64")],
-        ids=["list", "integer-array"],
-    )
-    def test_getitem_integer_with_missing_raises(self, data, idx):
-        msg = "Cannot index with an integer indexer containing NA values"
-        with pytest.raises(ValueError, match=msg):
-            data[idx]
-
-    @pytest.mark.xfail(
-        reason="Tries label-based and raises KeyError; "
-        "in some cases raises when calling np.asarray"
-    )
-    @pytest.mark.parametrize(
-        "idx",
-        [[0, 1, 2, pd.NA], pd.array([0, 1, 2, pd.NA], dtype="Int64")],
-        ids=["list", "integer-array"],
-    )
-    def test_getitem_series_integer_with_missing_raises(self, data, idx):
-        msg = "Cannot index with an integer indexer containing NA values"
-        # TODO: this raises KeyError about labels not found (it tries label-based)
-
-        ser = pd.Series(data, index=[chr(100 + i) for i in range(len(data))])
-        with pytest.raises(ValueError, match=msg):
-            ser[idx]
-
-    def test_getitem_slice(self, data):
-        # getitem[slice] should return an array
-        result = data[slice(0)]  # empty
-        assert isinstance(result, type(data))
-
-        result = data[slice(1)]  # scalar
-        assert isinstance(result, type(data))
-
-    def test_getitem_ellipsis_and_slice(self, data):
-        # GH#40353 this is called from slice_block_rows
-        result = data[..., :]
-        tm.assert_extension_array_equal(result, data)
-
-        result = data[:, ...]
-        tm.assert_extension_array_equal(result, data)
-
-        result = data[..., :3]
-        tm.assert_extension_array_equal(result, data[:3])
-
-        result = data[:3, ...]
-        tm.assert_extension_array_equal(result, data[:3])
-
-        result = data[..., ::2]
-        tm.assert_extension_array_equal(result, data[::2])
-
-        result = data[::2, ...]
-        tm.assert_extension_array_equal(result, data[::2])
-
-    def test_get(self, data):
-        # GH 20882
-        s = pd.Series(data, index=[2 * i for i in range(len(data))])
-        assert s.get(4) == s.iloc[2]
-
-        result = s.get([4, 6])
-        expected = s.iloc[[2, 3]]
-        tm.assert_series_equal(result, expected)
-
-        result = s.get(slice(2))
-        expected = s.iloc[[0, 1]]
-        tm.assert_series_equal(result, expected)
-
-        assert s.get(-1) is None
-        assert s.get(s.index.max() + 1) is None
-
-        s = pd.Series(data[:6], index=list("abcdef"))
-        assert s.get("c") == s.iloc[2]
-
-        result = s.get(slice("b", "d"))
-        expected = s.iloc[[1, 2, 3]]
-        tm.assert_series_equal(result, expected)
-
-        result = s.get("Z")
-        assert result is None
-
-        msg = "Series.__getitem__ treating keys as positions is deprecated"
-        with tm.assert_produces_warning(FutureWarning, match=msg):
-            assert s.get(4) == s.iloc[4]
-            assert s.get(-1) == s.iloc[-1]
-            assert s.get(len(s)) is None
-
-        # GH 21257
-        s = pd.Series(data)
-        with tm.assert_produces_warning(None):
-            # GH#45324 make sure we aren't giving a spurious FutureWarning
-            s2 = s[::2]
-        assert s2.get(1) is None
-
-    def test_take_sequence(self, data):
-        result = pd.Series(data)[[0, 1, 3]]
-        assert result.iloc[0] == data[0]
-        assert result.iloc[1] == data[1]
-        assert result.iloc[2] == data[3]
-
-    def test_take(self, data, na_value, na_cmp):
-        result = data.take([0, -1])
-        assert result.dtype == data.dtype
-        assert result[0] == data[0]
-        assert result[1] == data[-1]
-
-        result = data.take([0, -1], allow_fill=True, fill_value=na_value)
-        assert result[0] == data[0]
-        assert na_cmp(result[1], na_value)
-
-        with pytest.raises(IndexError, match="out of bounds"):
-            data.take([len(data) + 1])
-
-    def test_take_empty(self, data, na_value, na_cmp):
-        empty = data[:0]
-
-        result = empty.take([-1], allow_fill=True)
-        assert na_cmp(result[0], na_value)
-
-        msg = "cannot do a non-empty take from an empty axes|out of bounds"
-
-        with pytest.raises(IndexError, match=msg):
-            empty.take([-1])
-
-        with pytest.raises(IndexError, match="cannot do a non-empty take"):
-            empty.take([0, 1])
-
-    def test_take_negative(self, data):
-        # https://github.com/pandas-dev/pandas/issues/20640
-        n = len(data)
-        result = data.take([0, -n, n - 1, -1])
-        expected = data.take([0, 0, n - 1, n - 1])
-        tm.assert_extension_array_equal(result, expected)
-
-    def test_take_non_na_fill_value(self, data_missing):
-        fill_value = data_missing[1]  # valid
-        na = data_missing[0]
-
-        arr = data_missing._from_sequence(
-            [na, fill_value, na], dtype=data_missing.dtype
-        )
-        result = arr.take([-1, 1], fill_value=fill_value, allow_fill=True)
-        expected = arr.take([1, 1])
-        tm.assert_extension_array_equal(result, expected)
-
-    def test_take_pandas_style_negative_raises(self, data, na_value):
-        with pytest.raises(ValueError, match=""):
-            data.take([0, -2], fill_value=na_value, allow_fill=True)
-
-    @pytest.mark.parametrize("allow_fill", [True, False])
-    def test_take_out_of_bounds_raises(self, data, allow_fill):
-        arr = data[:3]
-
-        with pytest.raises(IndexError, match="out of bounds|out-of-bounds"):
-            arr.take(np.asarray([0, 3]), allow_fill=allow_fill)
-
-    def test_take_series(self, data):
-        s = pd.Series(data)
-        result = s.take([0, -1])
-        expected = pd.Series(
-            data._from_sequence([data[0], data[len(data) - 1]], dtype=s.dtype),
-            index=[0, len(data) - 1],
-        )
-        tm.assert_series_equal(result, expected)
-
-    def test_reindex(self, data, na_value):
-        s = pd.Series(data)
-        result = s.reindex([0, 1, 3])
-        expected = pd.Series(data.take([0, 1, 3]), index=[0, 1, 3])
-        tm.assert_series_equal(result, expected)
-
-        n = len(data)
-        result = s.reindex([-1, 0, n])
-        expected = pd.Series(
-            data._from_sequence([na_value, data[0], na_value], dtype=s.dtype),
-            index=[-1, 0, n],
-        )
-        tm.assert_series_equal(result, expected)
-
-        result = s.reindex([n, n + 1])
-        expected = pd.Series(
-            data._from_sequence([na_value, na_value], dtype=s.dtype), index=[n, n + 1]
-        )
-        tm.assert_series_equal(result, expected)
-
-    def test_reindex_non_na_fill_value(self, data_missing):
-        valid = data_missing[1]
-        na = data_missing[0]
-
-        arr = data_missing._from_sequence([na, valid], dtype=data_missing.dtype)
-        ser = pd.Series(arr)
-        result = ser.reindex([0, 1, 2], fill_value=valid)
-        expected = pd.Series(
-            data_missing._from_sequence([na, valid, valid], dtype=data_missing.dtype)
-        )
-
-        tm.assert_series_equal(result, expected)
-
-    def test_loc_len1(self, data):
-        # see GH-27785 take_nd with indexer of len 1 resulting in wrong ndim
-        df = pd.DataFrame({"A": data})
-        res = df.loc[[0], "A"]
-        assert res.ndim == 1
-        assert res._mgr.arrays[0].ndim == 1
-        if hasattr(res._mgr, "blocks"):
-            assert res._mgr._block.ndim == 1
-
-    def test_item(self, data):
-        # https://github.com/pandas-dev/pandas/pull/30175
-        s = pd.Series(data)
-        result = s[:1].item()
-        assert result == data[0]
-
-        msg = "can only convert an array of size 1 to a Python scalar"
-        with pytest.raises(ValueError, match=msg):
-            s[:0].item()
-
-        with pytest.raises(ValueError, match=msg):
-            s.item()
diff --git a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pip/_internal/operations/build/metadata_legacy.py b/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pip/_internal/operations/build/metadata_legacy.py
deleted file mode 100644
index e60988d643e007801f79e8718354e7d00c7acf18..0000000000000000000000000000000000000000
--- a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pip/_internal/operations/build/metadata_legacy.py
+++ /dev/null
@@ -1,74 +0,0 @@
-"""Metadata generation logic for legacy source distributions.
-"""
-
-import logging
-import os
-
-from pip._internal.build_env import BuildEnvironment
-from pip._internal.cli.spinners import open_spinner
-from pip._internal.exceptions import (
-    InstallationError,
-    InstallationSubprocessError,
-    MetadataGenerationFailed,
-)
-from pip._internal.utils.setuptools_build import make_setuptools_egg_info_args
-from pip._internal.utils.subprocess import call_subprocess
-from pip._internal.utils.temp_dir import TempDirectory
-
-logger = logging.getLogger(__name__)
-
-
-def _find_egg_info(directory: str) -> str:
-    """Find an .egg-info subdirectory in `directory`."""
-    filenames = [f for f in os.listdir(directory) if f.endswith(".egg-info")]
-
-    if not filenames:
-        raise InstallationError(f"No .egg-info directory found in {directory}")
-
-    if len(filenames) > 1:
-        raise InstallationError(
-            "More than one .egg-info directory found in {}".format(directory)
-        )
-
-    return os.path.join(directory, filenames[0])
-
-
-def generate_metadata(
-    build_env: BuildEnvironment,
-    setup_py_path: str,
-    source_dir: str,
-    isolated: bool,
-    details: str,
-) -> str:
-    """Generate metadata using setup.py-based defacto mechanisms.
-
-    Returns the generated metadata directory.
-    """
-    logger.debug(
-        "Running setup.py (path:%s) egg_info for package %s",
-        setup_py_path,
-        details,
-    )
-
-    egg_info_dir = TempDirectory(kind="pip-egg-info", globally_managed=True).path
-
-    args = make_setuptools_egg_info_args(
-        setup_py_path,
-        egg_info_dir=egg_info_dir,
-        no_user_config=isolated,
-    )
-
-    with build_env:
-        with open_spinner("Preparing metadata (setup.py)") as spinner:
-            try:
-                call_subprocess(
-                    args,
-                    cwd=source_dir,
-                    command_desc="python setup.py egg_info",
-                    spinner=spinner,
-                )
-            except InstallationSubprocessError as error:
-                raise MetadataGenerationFailed(package_details=details) from error
-
-    # Return the .egg-info directory.
-    return _find_egg_info(egg_info_dir)
diff --git a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pip/_vendor/rich/color_triplet.py b/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pip/_vendor/rich/color_triplet.py
deleted file mode 100644
index 02cab328251af9bfa809981aaa44933c407e2cd7..0000000000000000000000000000000000000000
--- a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pip/_vendor/rich/color_triplet.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from typing import NamedTuple, Tuple
-
-
-class ColorTriplet(NamedTuple):
-    """The red, green, and blue components of a color."""
-
-    red: int
-    """Red component in 0 to 255 range."""
-    green: int
-    """Green component in 0 to 255 range."""
-    blue: int
-    """Blue component in 0 to 255 range."""
-
-    @property
-    def hex(self) -> str:
-        """get the color triplet in CSS style."""
-        red, green, blue = self
-        return f"#{red:02x}{green:02x}{blue:02x}"
-
-    @property
-    def rgb(self) -> str:
-        """The color in RGB format.
-
-        Returns:
-            str: An rgb color, e.g. ``"rgb(100,23,255)"``.
-        """
-        red, green, blue = self
-        return f"rgb({red},{green},{blue})"
-
-    @property
-    def normalized(self) -> Tuple[float, float, float]:
-        """Convert components into floats between 0 and 1.
-
-        Returns:
-            Tuple[float, float, float]: A tuple of three normalized colour components.
-        """
-        red, green, blue = self
-        return red / 255.0, green / 255.0, blue / 255.0
diff --git a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pygments/lexers/data.py b/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pygments/lexers/data.py
deleted file mode 100644
index f97e146efccb682d436edf0a5a77088b36e107d0..0000000000000000000000000000000000000000
--- a/spaces/profayle/TerrapinTalk/myenv/lib/python3.9/site-packages/pygments/lexers/data.py
+++ /dev/null
@@ -1,767 +0,0 @@
-"""
-    pygments.lexers.data
-    ~~~~~~~~~~~~~~~~~~~~
-
-    Lexers for data file format.
-
-    :copyright: Copyright 2006-2023 by the Pygments team, see AUTHORS.
-    :license: BSD, see LICENSE for details.
-"""
-
-from pygments.lexer import Lexer, ExtendedRegexLexer, LexerContext, \
-    include, bygroups
-from pygments.token import Comment, Error, Keyword, Literal, Name, Number, \
-    Punctuation, String, Whitespace
-
-__all__ = ['YamlLexer', 'JsonLexer', 'JsonBareObjectLexer', 'JsonLdLexer']
-
-
-class YamlLexerContext(LexerContext):
-    """Indentation context for the YAML lexer."""
-
-    def __init__(self, *args, **kwds):
-        super().__init__(*args, **kwds)
-        self.indent_stack = []
-        self.indent = -1
-        self.next_indent = 0
-        self.block_scalar_indent = None
-
-
-class YamlLexer(ExtendedRegexLexer):
-    """
-    Lexer for YAML, a human-friendly data serialization
-    language.
-
-    .. versionadded:: 0.11
-    """
-
-    name = 'YAML'
-    url = 'http://yaml.org/'
-    aliases = ['yaml']
-    filenames = ['*.yaml', '*.yml']
-    mimetypes = ['text/x-yaml']
-
-    def something(token_class):
-        """Do not produce empty tokens."""
-        def callback(lexer, match, context):
-            text = match.group()
-            if not text:
-                return
-            yield match.start(), token_class, text
-            context.pos = match.end()
-        return callback
-
-    def reset_indent(token_class):
-        """Reset the indentation levels."""
-        def callback(lexer, match, context):
-            text = match.group()
-            context.indent_stack = []
-            context.indent = -1
-            context.next_indent = 0
-            context.block_scalar_indent = None
-            yield match.start(), token_class, text
-            context.pos = match.end()
-        return callback
-
-    def save_indent(token_class, start=False):
-        """Save a possible indentation level."""
-        def callback(lexer, match, context):
-            text = match.group()
-            extra = ''
-            if start:
-                context.next_indent = len(text)
-                if context.next_indent < context.indent:
-                    while context.next_indent < context.indent:
-                        context.indent = context.indent_stack.pop()
-                    if context.next_indent > context.indent:
-                        extra = text[context.indent:]
-                        text = text[:context.indent]
-            else:
-                context.next_indent += len(text)
-            if text:
-                yield match.start(), token_class, text
-            if extra:
-                yield match.start()+len(text), token_class.Error, extra
-            context.pos = match.end()
-        return callback
-
-    def set_indent(token_class, implicit=False):
-        """Set the previously saved indentation level."""
-        def callback(lexer, match, context):
-            text = match.group()
-            if context.indent < context.next_indent:
-                context.indent_stack.append(context.indent)
-                context.indent = context.next_indent
-            if not implicit:
-                context.next_indent += len(text)
-            yield match.start(), token_class, text
-            context.pos = match.end()
-        return callback
-
-    def set_block_scalar_indent(token_class):
-        """Set an explicit indentation level for a block scalar."""
-        def callback(lexer, match, context):
-            text = match.group()
-            context.block_scalar_indent = None
-            if not text:
-                return
-            increment = match.group(1)
-            if increment:
-                current_indent = max(context.indent, 0)
-                increment = int(increment)
-                context.block_scalar_indent = current_indent + increment
-            if text:
-                yield match.start(), token_class, text
-                context.pos = match.end()
-        return callback
-
-    def parse_block_scalar_empty_line(indent_token_class, content_token_class):
-        """Process an empty line in a block scalar."""
-        def callback(lexer, match, context):
-            text = match.group()
-            if (context.block_scalar_indent is None or
-                    len(text) <= context.block_scalar_indent):
-                if text:
-                    yield match.start(), indent_token_class, text
-            else:
-                indentation = text[:context.block_scalar_indent]
-                content = text[context.block_scalar_indent:]
-                yield match.start(), indent_token_class, indentation
-                yield (match.start()+context.block_scalar_indent,
-                       content_token_class, content)
-            context.pos = match.end()
-        return callback
-
-    def parse_block_scalar_indent(token_class):
-        """Process indentation spaces in a block scalar."""
-        def callback(lexer, match, context):
-            text = match.group()
-            if context.block_scalar_indent is None:
-                if len(text) <= max(context.indent, 0):
-                    context.stack.pop()
-                    context.stack.pop()
-                    return
-                context.block_scalar_indent = len(text)
-            else:
-                if len(text) < context.block_scalar_indent:
-                    context.stack.pop()
-                    context.stack.pop()
-                    return
-            if text:
-                yield match.start(), token_class, text
-                context.pos = match.end()
-        return callback
-
-    def parse_plain_scalar_indent(token_class):
-        """Process indentation spaces in a plain scalar."""
-        def callback(lexer, match, context):
-            text = match.group()
-            if len(text) <= context.indent:
-                context.stack.pop()
-                context.stack.pop()
-                return
-            if text:
-                yield match.start(), token_class, text
-                context.pos = match.end()
-        return callback
-
-    tokens = {
-        # the root rules
-        'root': [
-            # ignored whitespaces
-            (r'[ ]+(?=#|$)', Whitespace),
-            # line breaks
-            (r'\n+', Whitespace),
-            # a comment
-            (r'#[^\n]*', Comment.Single),
-            # the '%YAML' directive
-            (r'^%YAML(?=[ ]|$)', reset_indent(Name.Tag), 'yaml-directive'),
-            # the %TAG directive
-            (r'^%TAG(?=[ ]|$)', reset_indent(Name.Tag), 'tag-directive'),
-            # document start and document end indicators
-            (r'^(?:---|\.\.\.)(?=[ ]|$)', reset_indent(Name.Namespace),
-             'block-line'),
-            # indentation spaces
-            (r'[ ]*(?!\s|$)', save_indent(Whitespace, start=True),
-             ('block-line', 'indentation')),
-        ],
-
-        # trailing whitespaces after directives or a block scalar indicator
-        'ignored-line': [
-            # ignored whitespaces
-            (r'[ ]+(?=#|$)', Whitespace),
-            # a comment
-            (r'#[^\n]*', Comment.Single),
-            # line break
-            (r'\n', Whitespace, '#pop:2'),
-        ],
-
-        # the %YAML directive
-        'yaml-directive': [
-            # the version number
-            (r'([ ]+)([0-9]+\.[0-9]+)',
-             bygroups(Whitespace, Number), 'ignored-line'),
-        ],
-
-        # the %TAG directive
-        'tag-directive': [
-            # a tag handle and the corresponding prefix
-            (r'([ ]+)(!|![\w-]*!)'
-             r'([ ]+)(!|!?[\w;/?:@&=+$,.!~*\'()\[\]%-]+)',
-             bygroups(Whitespace, Keyword.Type, Whitespace, Keyword.Type),
-             'ignored-line'),
-        ],
-
-        # block scalar indicators and indentation spaces
-        'indentation': [
-            # trailing whitespaces are ignored
-            (r'[ ]*$', something(Whitespace), '#pop:2'),
-            # whitespaces preceding block collection indicators
-            (r'[ ]+(?=[?:-](?:[ ]|$))', save_indent(Whitespace)),
-            # block collection indicators
-            (r'[?:-](?=[ ]|$)', set_indent(Punctuation.Indicator)),
-            # the beginning a block line
-            (r'[ ]*', save_indent(Whitespace), '#pop'),
-        ],
-
-        # an indented line in the block context
-        'block-line': [
-            # the line end
-            (r'[ ]*(?=#|$)', something(Whitespace), '#pop'),
-            # whitespaces separating tokens
-            (r'[ ]+', Whitespace),
-            # key with colon
-            (r'''([^#,?\[\]{}"'\n]+)(:)(?=[ ]|$)''',
-             bygroups(Name.Tag, set_indent(Punctuation, implicit=True))),
-            # tags, anchors and aliases,
-            include('descriptors'),
-            # block collections and scalars
-            include('block-nodes'),
-            # flow collections and quoted scalars
-            include('flow-nodes'),
-            # a plain scalar
-            (r'(?=[^\s?:,\[\]{}#&*!|>\'"%@`-]|[?:-]\S)',
-             something(Name.Variable),
-             'plain-scalar-in-block-context'),
-        ],
-
-        # tags, anchors, aliases
-        'descriptors': [
-            # a full-form tag
-            (r'!<[\w#;/?:@&=+$,.!~*\'()\[\]%-]+>', Keyword.Type),
-            # a tag in the form '!', '!suffix' or '!handle!suffix'
-            (r'!(?:[\w-]+!)?'
-             r'[\w#;/?:@&=+$,.!~*\'()\[\]%-]*', Keyword.Type),
-            # an anchor
-            (r'&[\w-]+', Name.Label),
-            # an alias
-            (r'\*[\w-]+', Name.Variable),
-        ],
-
-        # block collections and scalars
-        'block-nodes': [
-            # implicit key
-            (r':(?=[ ]|$)', set_indent(Punctuation.Indicator, implicit=True)),
-            # literal and folded scalars
-            (r'[|>]', Punctuation.Indicator,
-             ('block-scalar-content', 'block-scalar-header')),
-        ],
-
-        # flow collections and quoted scalars
-        'flow-nodes': [
-            # a flow sequence
-            (r'\[', Punctuation.Indicator, 'flow-sequence'),
-            # a flow mapping
-            (r'\{', Punctuation.Indicator, 'flow-mapping'),
-            # a single-quoted scalar
-            (r'\'', String, 'single-quoted-scalar'),
-            # a double-quoted scalar
-            (r'\"', String, 'double-quoted-scalar'),
-        ],
-
-        # the content of a flow collection
-        'flow-collection': [
-            # whitespaces
-            (r'[ ]+', Whitespace),
-            # line breaks
-            (r'\n+', Whitespace),
-            # a comment
-            (r'#[^\n]*', Comment.Single),
-            # simple indicators
-            (r'[?:,]', Punctuation.Indicator),
-            # tags, anchors and aliases
-            include('descriptors'),
-            # nested collections and quoted scalars
-            include('flow-nodes'),
-            # a plain scalar
-            (r'(?=[^\s?:,\[\]{}#&*!|>\'"%@`])',
-             something(Name.Variable),
-             'plain-scalar-in-flow-context'),
-        ],
-
-        # a flow sequence indicated by '[' and ']'
-        'flow-sequence': [
-            # include flow collection rules
-            include('flow-collection'),
-            # the closing indicator
-            (r'\]', Punctuation.Indicator, '#pop'),
-        ],
-
-        # a flow mapping indicated by '{' and '}'
-        'flow-mapping': [
-            # key with colon
-            (r'''([^,:?\[\]{}"'\n]+)(:)(?=[ ]|$)''',
-             bygroups(Name.Tag, Punctuation)),
-            # include flow collection rules
-            include('flow-collection'),
-            # the closing indicator
-            (r'\}', Punctuation.Indicator, '#pop'),
-        ],
-
-        # block scalar lines
-        'block-scalar-content': [
-            # line break
-            (r'\n', Whitespace),
-            # empty line
-            (r'^[ ]+$',
-             parse_block_scalar_empty_line(Whitespace, Name.Constant)),
-            # indentation spaces (we may leave the state here)
-            (r'^[ ]*', parse_block_scalar_indent(Whitespace)),
-            # line content
-            (r'[\S\t ]+', Name.Constant),
-        ],
-
-        # the content of a literal or folded scalar
-        'block-scalar-header': [
-            # indentation indicator followed by chomping flag
-            (r'([1-9])?[+-]?(?=[ ]|$)',
-             set_block_scalar_indent(Punctuation.Indicator),
-             'ignored-line'),
-            # chomping flag followed by indentation indicator
-            (r'[+-]?([1-9])?(?=[ ]|$)',
-             set_block_scalar_indent(Punctuation.Indicator),
-             'ignored-line'),
-        ],
-
-        # ignored and regular whitespaces in quoted scalars
-        'quoted-scalar-whitespaces': [
-            # leading and trailing whitespaces are ignored
-            (r'^[ ]+', Whitespace),
-            (r'[ ]+$', Whitespace),
-            # line breaks are ignored
-            (r'\n+', Whitespace),
-            # other whitespaces are a part of the value
-            (r'[ ]+', Name.Variable),
-        ],
-
-        # single-quoted scalars
-        'single-quoted-scalar': [
-            # include whitespace and line break rules
-            include('quoted-scalar-whitespaces'),
-            # escaping of the quote character
-            (r'\'\'', String.Escape),
-            # regular non-whitespace characters
-            (r'[^\s\']+', String),
-            # the closing quote
-            (r'\'', String, '#pop'),
-        ],
-
-        # double-quoted scalars
-        'double-quoted-scalar': [
-            # include whitespace and line break rules
-            include('quoted-scalar-whitespaces'),
-            # escaping of special characters
-            (r'\\[0abt\tn\nvfre "\\N_LP]', String),
-            # escape codes
-            (r'\\(?:x[0-9A-Fa-f]{2}|u[0-9A-Fa-f]{4}|U[0-9A-Fa-f]{8})',
-             String.Escape),
-            # regular non-whitespace characters
-            (r'[^\s"\\]+', String),
-            # the closing quote
-            (r'"', String, '#pop'),
-        ],
-
-        # the beginning of a new line while scanning a plain scalar
-        'plain-scalar-in-block-context-new-line': [
-            # empty lines
-            (r'^[ ]+$', Whitespace),
-            # line breaks
-            (r'\n+', Whitespace),
-            # document start and document end indicators
-            (r'^(?=---|\.\.\.)', something(Name.Namespace), '#pop:3'),
-            # indentation spaces (we may leave the block line state here)
-            (r'^[ ]*', parse_plain_scalar_indent(Whitespace), '#pop'),
-        ],
-
-        # a plain scalar in the block context
-        'plain-scalar-in-block-context': [
-            # the scalar ends with the ':' indicator
-            (r'[ ]*(?=:[ ]|:$)', something(Whitespace), '#pop'),
-            # the scalar ends with whitespaces followed by a comment
-            (r'[ ]+(?=#)', Whitespace, '#pop'),
-            # trailing whitespaces are ignored
-            (r'[ ]+$', Whitespace),
-            # line breaks are ignored
-            (r'\n+', Whitespace, 'plain-scalar-in-block-context-new-line'),
-            # other whitespaces are a part of the value
-            (r'[ ]+', Literal.Scalar.Plain),
-            # regular non-whitespace characters
-            (r'(?::(?!\s)|[^\s:])+', Literal.Scalar.Plain),
-        ],
-
-        # a plain scalar is the flow context
-        'plain-scalar-in-flow-context': [
-            # the scalar ends with an indicator character
-            (r'[ ]*(?=[,:?\[\]{}])', something(Whitespace), '#pop'),
-            # the scalar ends with a comment
-            (r'[ ]+(?=#)', Whitespace, '#pop'),
-            # leading and trailing whitespaces are ignored
-            (r'^[ ]+', Whitespace),
-            (r'[ ]+$', Whitespace),
-            # line breaks are ignored
-            (r'\n+', Whitespace),
-            # other whitespaces are a part of the value
-            (r'[ ]+', Name.Variable),
-            # regular non-whitespace characters
-            (r'[^\s,:?\[\]{}]+', Name.Variable),
-        ],
-
-    }
-
-    def get_tokens_unprocessed(self, text=None, context=None):
-        if context is None:
-            context = YamlLexerContext(text, 0)
-        return super().get_tokens_unprocessed(text, context)
-
-
-class JsonLexer(Lexer):
-    """
-    For JSON data structures.
-
-    Javascript-style comments are supported (like ``/* */`` and ``//``),
-    though comments are not part of the JSON specification.
-    This allows users to highlight JSON as it is used in the wild.
-
-    No validation is performed on the input JSON document.
-
-    .. versionadded:: 1.5
-    """
-
-    name = 'JSON'
-    url = 'https://www.json.org'
-    aliases = ['json', 'json-object']
-    filenames = ['*.json', 'Pipfile.lock']
-    mimetypes = ['application/json', 'application/json-object']
-
-    # No validation of integers, floats, or constants is done.
-    # As long as the characters are members of the following
-    # sets, the token will be considered valid. For example,
-    #
-    #     "--1--" is parsed as an integer
-    #     "1...eee" is parsed as a float
-    #     "trustful" is parsed as a constant
-    #
-    integers = set('-0123456789')
-    floats = set('.eE+')
-    constants = set('truefalsenull')  # true|false|null
-    hexadecimals = set('0123456789abcdefABCDEF')
-    punctuations = set('{}[],')
-    whitespaces = {'\u0020', '\u000a', '\u000d', '\u0009'}
-
-    def get_tokens_unprocessed(self, text):
-        """Parse JSON data."""
-
-        in_string = False
-        in_escape = False
-        in_unicode_escape = 0
-        in_whitespace = False
-        in_constant = False
-        in_number = False
-        in_float = False
-        in_punctuation = False
-        in_comment_single = False
-        in_comment_multiline = False
-        expecting_second_comment_opener = False  # // or /*
-        expecting_second_comment_closer = False  # */
-
-        start = 0
-
-        # The queue is used to store data that may need to be tokenized
-        # differently based on what follows. In particular, JSON object
-        # keys are tokenized differently than string values, but cannot
-        # be distinguished until punctuation is encountered outside the
-        # string.
-        #
-        # A ":" character after the string indicates that the string is
-        # an object key; any other character indicates the string is a
-        # regular string value.
-        #
-        # The queue holds tuples that contain the following data:
-        #
-        #     (start_index, token_type, text)
-        #
-        # By default the token type of text in double quotes is
-        # String.Double. The token type will be replaced if a colon
-        # is encountered after the string closes.
-        #
-        queue = []
-
-        for stop, character in enumerate(text):
-            if in_string:
-                if in_unicode_escape:
-                    if character in self.hexadecimals:
-                        in_unicode_escape -= 1
-                        if not in_unicode_escape:
-                            in_escape = False
-                    else:
-                        in_unicode_escape = 0
-                        in_escape = False
-
-                elif in_escape:
-                    if character == 'u':
-                        in_unicode_escape = 4
-                    else:
-                        in_escape = False
-
-                elif character == '\\':
-                    in_escape = True
-
-                elif character == '"':
-                    queue.append((start, String.Double, text[start:stop + 1]))
-                    in_string = False
-                    in_escape = False
-                    in_unicode_escape = 0
-
-                continue
-
-            elif in_whitespace:
-                if character in self.whitespaces:
-                    continue
-
-                if queue:
-                    queue.append((start, Whitespace, text[start:stop]))
-                else:
-                    yield start, Whitespace, text[start:stop]
-                in_whitespace = False
-                # Fall through so the new character can be evaluated.
-
-            elif in_constant:
-                if character in self.constants:
-                    continue
-
-                yield start, Keyword.Constant, text[start:stop]
-                in_constant = False
-                # Fall through so the new character can be evaluated.
-
-            elif in_number:
-                if character in self.integers:
-                    continue
-                elif character in self.floats:
-                    in_float = True
-                    continue
-
-                if in_float:
-                    yield start, Number.Float, text[start:stop]
-                else:
-                    yield start, Number.Integer, text[start:stop]
-                in_number = False
-                in_float = False
-                # Fall through so the new character can be evaluated.
-
-            elif in_punctuation:
-                if character in self.punctuations:
-                    continue
-
-                yield start, Punctuation, text[start:stop]
-                in_punctuation = False
-                # Fall through so the new character can be evaluated.
-
-            elif in_comment_single:
-                if character != '\n':
-                    continue
-
-                if queue:
-                    queue.append((start, Comment.Single, text[start:stop]))
-                else:
-                    yield start, Comment.Single, text[start:stop]
-
-                in_comment_single = False
-                # Fall through so the new character can be evaluated.
-
-            elif in_comment_multiline:
-                if character == '*':
-                    expecting_second_comment_closer = True
-                elif expecting_second_comment_closer:
-                    expecting_second_comment_closer = False
-                    if character == '/':
-                        if queue:
-                            queue.append((start, Comment.Multiline, text[start:stop + 1]))
-                        else:
-                            yield start, Comment.Multiline, text[start:stop + 1]
-
-                        in_comment_multiline = False
-
-                continue
-
-            elif expecting_second_comment_opener:
-                expecting_second_comment_opener = False
-                if character == '/':
-                    in_comment_single = True
-                    continue
-                elif character == '*':
-                    in_comment_multiline = True
-                    continue
-
-                # Exhaust the queue. Accept the existing token types.
-                yield from queue
-                queue.clear()
-
-                yield start, Error, text[start:stop]
-                # Fall through so the new character can be evaluated.
-
-            start = stop
-
-            if character == '"':
-                in_string = True
-
-            elif character in self.whitespaces:
-                in_whitespace = True
-
-            elif character in {'f', 'n', 't'}:  # The first letters of true|false|null
-                # Exhaust the queue. Accept the existing token types.
-                yield from queue
-                queue.clear()
-
-                in_constant = True
-
-            elif character in self.integers:
-                # Exhaust the queue. Accept the existing token types.
-                yield from queue
-                queue.clear()
-
-                in_number = True
-
-            elif character == ':':
-                # Yield from the queue. Replace string token types.
-                for _start, _token, _text in queue:
-                    # There can be only three types of tokens before a ':':
-                    # Whitespace, Comment, or a quoted string.
-                    #
-                    # If it's a quoted string we emit Name.Tag.
-                    # Otherwise, we yield the original token.
-                    #
-                    # In all other cases this would be invalid JSON,
-                    # but this is not a validating JSON lexer, so it's OK.
-                    if _token is String.Double:
-                        yield _start, Name.Tag, _text
-                    else:
-                        yield _start, _token, _text
-                queue.clear()
-
-                in_punctuation = True
-
-            elif character in self.punctuations:
-                # Exhaust the queue. Accept the existing token types.
-                yield from queue
-                queue.clear()
-
-                in_punctuation = True
-
-            elif character == '/':
-                # This is the beginning of a comment.
-                expecting_second_comment_opener = True
-
-            else:
-                # Exhaust the queue. Accept the existing token types.
-                yield from queue
-                queue.clear()
-
-                yield start, Error, character
-
-        # Yield any remaining text.
-        yield from queue
-        if in_string:
-            yield start, Error, text[start:]
-        elif in_float:
-            yield start, Number.Float, text[start:]
-        elif in_number:
-            yield start, Number.Integer, text[start:]
-        elif in_constant:
-            yield start, Keyword.Constant, text[start:]
-        elif in_whitespace:
-            yield start, Whitespace, text[start:]
-        elif in_punctuation:
-            yield start, Punctuation, text[start:]
-        elif in_comment_single:
-            yield start, Comment.Single, text[start:]
-        elif in_comment_multiline:
-            yield start, Error, text[start:]
-        elif expecting_second_comment_opener:
-            yield start, Error, text[start:]
-
-
-class JsonBareObjectLexer(JsonLexer):
-    """
-    For JSON data structures (with missing object curly braces).
-
-    .. versionadded:: 2.2
-
-    .. deprecated:: 2.8.0
-
-       Behaves the same as `JsonLexer` now.
-    """
-
-    name = 'JSONBareObject'
-    aliases = []
-    filenames = []
-    mimetypes = []
-
-
-class JsonLdLexer(JsonLexer):
-    """
-    For JSON-LD linked data.
-
-    .. versionadded:: 2.0
-    """
-
-    name = 'JSON-LD'
-    url = 'https://json-ld.org/'
-    aliases = ['jsonld', 'json-ld']
-    filenames = ['*.jsonld']
-    mimetypes = ['application/ld+json']
-
-    json_ld_keywords = {
-        '"@%s"' % keyword
-        for keyword in (
-            'base',
-            'container',
-            'context',
-            'direction',
-            'graph',
-            'id',
-            'import',
-            'included',
-            'index',
-            'json',
-            'language',
-            'list',
-            'nest',
-            'none',
-            'prefix',
-            'propagate',
-            'protected',
-            'reverse',
-            'set',
-            'type',
-            'value',
-            'version',
-            'vocab',
-        )
-    }
-
-    def get_tokens_unprocessed(self, text):
-        for start, token, value in super().get_tokens_unprocessed(text):
-            if token is Name.Tag and value in self.json_ld_keywords:
-                yield start, Name.Decorator, value
-            else:
-                yield start, token, value
diff --git a/spaces/quidiaMuxgu/Expedit-SAM/Color Screen Calendar Model 8190 Zip.md b/spaces/quidiaMuxgu/Expedit-SAM/Color Screen Calendar Model 8190 Zip.md
deleted file mode 100644
index ba430dba4bfd49dd68e6114b00d67a2d3bf549c4..0000000000000000000000000000000000000000
--- a/spaces/quidiaMuxgu/Expedit-SAM/Color Screen Calendar Model 8190 Zip.md	
+++ /dev/null
@@ -1,8 +0,0 @@
-<br />
-<p>And those of you who use more than two calendars a day. Color screen calendar model 8190 instruction manual install 7/1/2013.<br /> screen color calendar model 8190 manual. Find the best color screen calendar model 8190 instructions 867 manuals download. Screen calendar manual model 8190 instructions.<br /> color calendar model 8190. Color screen calendar model 8190 instructions. 7/1/2013. View and manage your calendar. Color screen calendar model 8190 instruction manual install. color screen calendar model 8190 instructions.<br /> manual install. Color screen calendar model 8190 instruction manual. Manohar kothna Home was launched in 2005. Aimed at budget conscious. color screen calendar model 8190 instruction manual install. view and manage your calendar. Home / Reviews / color screen calendar model 8190 instructions manual install.<br /> The worlds first private color screen / light. Hi, Do you have any manual for this equipment.</p>
-<p>hi, Do you have any manual for this equipment. Manual. color screen calendar model 8190 instructions. The worlds first private color screen / light. view and manage your calendar. manual install.</p>
-<h2>color screen calendar model 8190 zip</h2><br /><p><b><b>Download Zip</b> &#11088; <a href="https://geags.com/2uCqKV">https://geags.com/2uCqKV</a></b></p><br /><br />
-<p>The reason for the color model 0880 is its. Colored Faceplates: At any given time there are up to a 100. All of the features that are included in this manual cover the more comprehensive. This is the most basic Android application available, providing only the. If you enable the color screen model</p>
-<p>Apple Calendar, or iCal, is a remarkably simple application. For anyone moving to Mac from a PC with Outlook, that simplicity should be refreshing. But its also witty and beautifully designed. The process of importing calendars from other accounts is very straightforward. You rarely have to do much more than enter your email address and password to find all of the events from a different platform on your Mac.</p> 899543212b<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/r3gm/Advanced-RVC-Inference/rmvpe.py b/spaces/r3gm/Advanced-RVC-Inference/rmvpe.py
deleted file mode 100644
index 3ad346141340e03bdbaa20121e1ed435bb3da57a..0000000000000000000000000000000000000000
--- a/spaces/r3gm/Advanced-RVC-Inference/rmvpe.py
+++ /dev/null
@@ -1,432 +0,0 @@
-import sys, torch, numpy as np, traceback, pdb
-import torch.nn as nn
-from time import time as ttime
-import torch.nn.functional as F
-
-
-class BiGRU(nn.Module):
-    def __init__(self, input_features, hidden_features, num_layers):
-        super(BiGRU, self).__init__()
-        self.gru = nn.GRU(
-            input_features,
-            hidden_features,
-            num_layers=num_layers,
-            batch_first=True,
-            bidirectional=True,
-        )
-
-    def forward(self, x):
-        return self.gru(x)[0]
-
-
-class ConvBlockRes(nn.Module):
-    def __init__(self, in_channels, out_channels, momentum=0.01):
-        super(ConvBlockRes, self).__init__()
-        self.conv = nn.Sequential(
-            nn.Conv2d(
-                in_channels=in_channels,
-                out_channels=out_channels,
-                kernel_size=(3, 3),
-                stride=(1, 1),
-                padding=(1, 1),
-                bias=False,
-            ),
-            nn.BatchNorm2d(out_channels, momentum=momentum),
-            nn.ReLU(),
-            nn.Conv2d(
-                in_channels=out_channels,
-                out_channels=out_channels,
-                kernel_size=(3, 3),
-                stride=(1, 1),
-                padding=(1, 1),
-                bias=False,
-            ),
-            nn.BatchNorm2d(out_channels, momentum=momentum),
-            nn.ReLU(),
-        )
-        if in_channels != out_channels:
-            self.shortcut = nn.Conv2d(in_channels, out_channels, (1, 1))
-            self.is_shortcut = True
-        else:
-            self.is_shortcut = False
-
-    def forward(self, x):
-        if self.is_shortcut:
-            return self.conv(x) + self.shortcut(x)
-        else:
-            return self.conv(x) + x
-
-
-class Encoder(nn.Module):
-    def __init__(
-        self,
-        in_channels,
-        in_size,
-        n_encoders,
-        kernel_size,
-        n_blocks,
-        out_channels=16,
-        momentum=0.01,
-    ):
-        super(Encoder, self).__init__()
-        self.n_encoders = n_encoders
-        self.bn = nn.BatchNorm2d(in_channels, momentum=momentum)
-        self.layers = nn.ModuleList()
-        self.latent_channels = []
-        for i in range(self.n_encoders):
-            self.layers.append(
-                ResEncoderBlock(
-                    in_channels, out_channels, kernel_size, n_blocks, momentum=momentum
-                )
-            )
-            self.latent_channels.append([out_channels, in_size])
-            in_channels = out_channels
-            out_channels *= 2
-            in_size //= 2
-        self.out_size = in_size
-        self.out_channel = out_channels
-
-    def forward(self, x):
-        concat_tensors = []
-        x = self.bn(x)
-        for i in range(self.n_encoders):
-            _, x = self.layers[i](x)
-            concat_tensors.append(_)
-        return x, concat_tensors
-
-
-class ResEncoderBlock(nn.Module):
-    def __init__(
-        self, in_channels, out_channels, kernel_size, n_blocks=1, momentum=0.01
-    ):
-        super(ResEncoderBlock, self).__init__()
-        self.n_blocks = n_blocks
-        self.conv = nn.ModuleList()
-        self.conv.append(ConvBlockRes(in_channels, out_channels, momentum))
-        for i in range(n_blocks - 1):
-            self.conv.append(ConvBlockRes(out_channels, out_channels, momentum))
-        self.kernel_size = kernel_size
-        if self.kernel_size is not None:
-            self.pool = nn.AvgPool2d(kernel_size=kernel_size)
-
-    def forward(self, x):
-        for i in range(self.n_blocks):
-            x = self.conv[i](x)
-        if self.kernel_size is not None:
-            return x, self.pool(x)
-        else:
-            return x
-
-
-class Intermediate(nn.Module):  #
-    def __init__(self, in_channels, out_channels, n_inters, n_blocks, momentum=0.01):
-        super(Intermediate, self).__init__()
-        self.n_inters = n_inters
-        self.layers = nn.ModuleList()
-        self.layers.append(
-            ResEncoderBlock(in_channels, out_channels, None, n_blocks, momentum)
-        )
-        for i in range(self.n_inters - 1):
-            self.layers.append(
-                ResEncoderBlock(out_channels, out_channels, None, n_blocks, momentum)
-            )
-
-    def forward(self, x):
-        for i in range(self.n_inters):
-            x = self.layers[i](x)
-        return x
-
-
-class ResDecoderBlock(nn.Module):
-    def __init__(self, in_channels, out_channels, stride, n_blocks=1, momentum=0.01):
-        super(ResDecoderBlock, self).__init__()
-        out_padding = (0, 1) if stride == (1, 2) else (1, 1)
-        self.n_blocks = n_blocks
-        self.conv1 = nn.Sequential(
-            nn.ConvTranspose2d(
-                in_channels=in_channels,
-                out_channels=out_channels,
-                kernel_size=(3, 3),
-                stride=stride,
-                padding=(1, 1),
-                output_padding=out_padding,
-                bias=False,
-            ),
-            nn.BatchNorm2d(out_channels, momentum=momentum),
-            nn.ReLU(),
-        )
-        self.conv2 = nn.ModuleList()
-        self.conv2.append(ConvBlockRes(out_channels * 2, out_channels, momentum))
-        for i in range(n_blocks - 1):
-            self.conv2.append(ConvBlockRes(out_channels, out_channels, momentum))
-
-    def forward(self, x, concat_tensor):
-        x = self.conv1(x)
-        x = torch.cat((x, concat_tensor), dim=1)
-        for i in range(self.n_blocks):
-            x = self.conv2[i](x)
-        return x
-
-
-class Decoder(nn.Module):
-    def __init__(self, in_channels, n_decoders, stride, n_blocks, momentum=0.01):
-        super(Decoder, self).__init__()
-        self.layers = nn.ModuleList()
-        self.n_decoders = n_decoders
-        for i in range(self.n_decoders):
-            out_channels = in_channels // 2
-            self.layers.append(
-                ResDecoderBlock(in_channels, out_channels, stride, n_blocks, momentum)
-            )
-            in_channels = out_channels
-
-    def forward(self, x, concat_tensors):
-        for i in range(self.n_decoders):
-            x = self.layers[i](x, concat_tensors[-1 - i])
-        return x
-
-
-class DeepUnet(nn.Module):
-    def __init__(
-        self,
-        kernel_size,
-        n_blocks,
-        en_de_layers=5,
-        inter_layers=4,
-        in_channels=1,
-        en_out_channels=16,
-    ):
-        super(DeepUnet, self).__init__()
-        self.encoder = Encoder(
-            in_channels, 128, en_de_layers, kernel_size, n_blocks, en_out_channels
-        )
-        self.intermediate = Intermediate(
-            self.encoder.out_channel // 2,
-            self.encoder.out_channel,
-            inter_layers,
-            n_blocks,
-        )
-        self.decoder = Decoder(
-            self.encoder.out_channel, en_de_layers, kernel_size, n_blocks
-        )
-
-    def forward(self, x):
-        x, concat_tensors = self.encoder(x)
-        x = self.intermediate(x)
-        x = self.decoder(x, concat_tensors)
-        return x
-
-
-class E2E(nn.Module):
-    def __init__(
-        self,
-        n_blocks,
-        n_gru,
-        kernel_size,
-        en_de_layers=5,
-        inter_layers=4,
-        in_channels=1,
-        en_out_channels=16,
-    ):
-        super(E2E, self).__init__()
-        self.unet = DeepUnet(
-            kernel_size,
-            n_blocks,
-            en_de_layers,
-            inter_layers,
-            in_channels,
-            en_out_channels,
-        )
-        self.cnn = nn.Conv2d(en_out_channels, 3, (3, 3), padding=(1, 1))
-        if n_gru:
-            self.fc = nn.Sequential(
-                BiGRU(3 * 128, 256, n_gru),
-                nn.Linear(512, 360),
-                nn.Dropout(0.25),
-                nn.Sigmoid(),
-            )
-        else:
-            self.fc = nn.Sequential(
-                nn.Linear(3 * N_MELS, N_CLASS), nn.Dropout(0.25), nn.Sigmoid()
-            )
-
-    def forward(self, mel):
-        mel = mel.transpose(-1, -2).unsqueeze(1)
-        x = self.cnn(self.unet(mel)).transpose(1, 2).flatten(-2)
-        x = self.fc(x)
-        return x
-
-
-from librosa.filters import mel
-
-
-class MelSpectrogram(torch.nn.Module):
-    def __init__(
-        self,
-        is_half,
-        n_mel_channels,
-        sampling_rate,
-        win_length,
-        hop_length,
-        n_fft=None,
-        mel_fmin=0,
-        mel_fmax=None,
-        clamp=1e-5,
-    ):
-        super().__init__()
-        n_fft = win_length if n_fft is None else n_fft
-        self.hann_window = {}
-        mel_basis = mel(
-            sr=sampling_rate,
-            n_fft=n_fft,
-            n_mels=n_mel_channels,
-            fmin=mel_fmin,
-            fmax=mel_fmax,
-            htk=True,
-        )
-        mel_basis = torch.from_numpy(mel_basis).float()
-        self.register_buffer("mel_basis", mel_basis)
-        self.n_fft = win_length if n_fft is None else n_fft
-        self.hop_length = hop_length
-        self.win_length = win_length
-        self.sampling_rate = sampling_rate
-        self.n_mel_channels = n_mel_channels
-        self.clamp = clamp
-        self.is_half = is_half
-
-    def forward(self, audio, keyshift=0, speed=1, center=True):
-        factor = 2 ** (keyshift / 12)
-        n_fft_new = int(np.round(self.n_fft * factor))
-        win_length_new = int(np.round(self.win_length * factor))
-        hop_length_new = int(np.round(self.hop_length * speed))
-        keyshift_key = str(keyshift) + "_" + str(audio.device)
-        if keyshift_key not in self.hann_window:
-            self.hann_window[keyshift_key] = torch.hann_window(win_length_new).to(
-                audio.device
-            )
-        fft = torch.stft(
-            audio,
-            n_fft=n_fft_new,
-            hop_length=hop_length_new,
-            win_length=win_length_new,
-            window=self.hann_window[keyshift_key],
-            center=center,
-            return_complex=True,
-        )
-        magnitude = torch.sqrt(fft.real.pow(2) + fft.imag.pow(2))
-        if keyshift != 0:
-            size = self.n_fft // 2 + 1
-            resize = magnitude.size(1)
-            if resize < size:
-                magnitude = F.pad(magnitude, (0, 0, 0, size - resize))
-            magnitude = magnitude[:, :size, :] * self.win_length / win_length_new
-        mel_output = torch.matmul(self.mel_basis, magnitude)
-        if self.is_half == True:
-            mel_output = mel_output.half()
-        log_mel_spec = torch.log(torch.clamp(mel_output, min=self.clamp))
-        return log_mel_spec
-
-
-class RMVPE:
-    def __init__(self, model_path, is_half, device=None):
-        self.resample_kernel = {}
-        model = E2E(4, 1, (2, 2))
-        ckpt = torch.load(model_path, map_location="cpu")
-        model.load_state_dict(ckpt)
-        model.eval()
-        if is_half == True:
-            model = model.half()
-        self.model = model
-        self.resample_kernel = {}
-        self.is_half = is_half
-        if device is None:
-            device = "cuda" if torch.cuda.is_available() else "cpu"
-        self.device = device
-        self.mel_extractor = MelSpectrogram(
-            is_half, 128, 16000, 1024, 160, None, 30, 8000
-        ).to(device)
-        self.model = self.model.to(device)
-        cents_mapping = 20 * np.arange(360) + 1997.3794084376191
-        self.cents_mapping = np.pad(cents_mapping, (4, 4))  # 368
-
-    def mel2hidden(self, mel):
-        with torch.no_grad():
-            n_frames = mel.shape[-1]
-            mel = F.pad(
-                mel, (0, 32 * ((n_frames - 1) // 32 + 1) - n_frames), mode="reflect"
-            )
-            hidden = self.model(mel)
-            return hidden[:, :n_frames]
-
-    def decode(self, hidden, thred=0.03):
-        cents_pred = self.to_local_average_cents(hidden, thred=thred)
-        f0 = 10 * (2 ** (cents_pred / 1200))
-        f0[f0 == 10] = 0
-        # f0 = np.array([10 * (2 ** (cent_pred / 1200)) if cent_pred else 0 for cent_pred in cents_pred])
-        return f0
-
-    def infer_from_audio(self, audio, thred=0.03):
-        audio = torch.from_numpy(audio).float().to(self.device).unsqueeze(0)
-        # torch.cuda.synchronize()
-        # t0=ttime()
-        mel = self.mel_extractor(audio, center=True)
-        # torch.cuda.synchronize()
-        # t1=ttime()
-        hidden = self.mel2hidden(mel)
-        # torch.cuda.synchronize()
-        # t2=ttime()
-        hidden = hidden.squeeze(0).cpu().numpy()
-        if self.is_half == True:
-            hidden = hidden.astype("float32")
-        f0 = self.decode(hidden, thred=thred)
-        # torch.cuda.synchronize()
-        # t3=ttime()
-        # print("hmvpe:%s\t%s\t%s\t%s"%(t1-t0,t2-t1,t3-t2,t3-t0))
-        return f0
-
-    def to_local_average_cents(self, salience, thred=0.05):
-        # t0 = ttime()
-        center = np.argmax(salience, axis=1)  # 帧长#index
-        salience = np.pad(salience, ((0, 0), (4, 4)))  # 帧长,368
-        # t1 = ttime()
-        center += 4
-        todo_salience = []
-        todo_cents_mapping = []
-        starts = center - 4
-        ends = center + 5
-        for idx in range(salience.shape[0]):
-            todo_salience.append(salience[:, starts[idx] : ends[idx]][idx])
-            todo_cents_mapping.append(self.cents_mapping[starts[idx] : ends[idx]])
-        # t2 = ttime()
-        todo_salience = np.array(todo_salience)  # 帧长，9
-        todo_cents_mapping = np.array(todo_cents_mapping)  # 帧长，9
-        product_sum = np.sum(todo_salience * todo_cents_mapping, 1)
-        weight_sum = np.sum(todo_salience, 1)  # 帧长
-        devided = product_sum / weight_sum  # 帧长
-        # t3 = ttime()
-        maxx = np.max(salience, axis=1)  # 帧长
-        devided[maxx <= thred] = 0
-        # t4 = ttime()
-        # print("decode:%s\t%s\t%s\t%s" % (t1 - t0, t2 - t1, t3 - t2, t4 - t3))
-        return devided
-
-
-# if __name__ == '__main__':
-#     audio, sampling_rate = sf.read("卢本伟语录~1.wav")
-#     if len(audio.shape) > 1:
-#         audio = librosa.to_mono(audio.transpose(1, 0))
-#     audio_bak = audio.copy()
-#     if sampling_rate != 16000:
-#         audio = librosa.resample(audio, orig_sr=sampling_rate, target_sr=16000)
-#     model_path = "/bili-coeus/jupyter/jupyterhub-liujing04/vits_ch/test-RMVPE/weights/rmvpe_llc_half.pt"
-#     thred = 0.03  # 0.01
-#     device = 'cuda' if torch.cuda.is_available() else 'cpu'
-#     rmvpe = RMVPE(model_path,is_half=False, device=device)
-#     t0=ttime()
-#     f0 = rmvpe.infer_from_audio(audio, thred=thred)
-#     f0 = rmvpe.infer_from_audio(audio, thred=thred)
-#     f0 = rmvpe.infer_from_audio(audio, thred=thred)
-#     f0 = rmvpe.infer_from_audio(audio, thred=thred)
-#     f0 = rmvpe.infer_from_audio(audio, thred=thred)
-#     t1=ttime()
-#     print(f0.shape,t1-t0)
diff --git a/spaces/radames/UserControllableLT-Latent-Transformer/interface/pixel2style2pixel/training/coach.py b/spaces/radames/UserControllableLT-Latent-Transformer/interface/pixel2style2pixel/training/coach.py
deleted file mode 100644
index 63efdb5146154912e0880dab4a65216520a4e9c6..0000000000000000000000000000000000000000
--- a/spaces/radames/UserControllableLT-Latent-Transformer/interface/pixel2style2pixel/training/coach.py
+++ /dev/null
@@ -1,290 +0,0 @@
-import os
-import matplotlib
-import matplotlib.pyplot as plt
-
-matplotlib.use('Agg')
-
-import torch
-from torch import nn
-from torch.utils.data import DataLoader
-from torch.utils.tensorboard import SummaryWriter
-import torch.nn.functional as F
-
-from utils import common, train_utils
-from criteria import id_loss, w_norm, moco_loss
-from configs import data_configs
-from datasets.images_dataset import ImagesDataset
-from criteria.lpips.lpips import LPIPS
-from models.psp import pSp
-from training.ranger import Ranger
-
-
-class Coach:
-	def __init__(self, opts):
-		self.opts = opts
-
-		self.global_step = 0
-
-		self.device = 'cuda:0'  # TODO: Allow multiple GPU? currently using CUDA_VISIBLE_DEVICES
-		self.opts.device = self.device
-
-		if self.opts.use_wandb:
-			from utils.wandb_utils import WBLogger
-			self.wb_logger = WBLogger(self.opts)
-
-		# Initialize network
-		self.net = pSp(self.opts).to(self.device)
-
-		# Estimate latent_avg via dense sampling if latent_avg is not available
-		if self.net.latent_avg is None:
-			self.net.latent_avg = self.net.decoder.mean_latent(int(1e5))[0].detach()
-
-		# Initialize loss
-		if self.opts.id_lambda > 0 and self.opts.moco_lambda > 0:
-			raise ValueError('Both ID and MoCo loss have lambdas > 0! Please select only one to have non-zero lambda!')
-
-		self.mse_loss = nn.MSELoss().to(self.device).eval()
-		if self.opts.lpips_lambda > 0:
-			self.lpips_loss = LPIPS(net_type='alex').to(self.device).eval()
-		if self.opts.id_lambda > 0:
-			self.id_loss = id_loss.IDLoss().to(self.device).eval()
-		if self.opts.w_norm_lambda > 0:
-			self.w_norm_loss = w_norm.WNormLoss(start_from_latent_avg=self.opts.start_from_latent_avg)
-		if self.opts.moco_lambda > 0:
-			self.moco_loss = moco_loss.MocoLoss().to(self.device).eval()
-
-		# Initialize optimizer
-		self.optimizer = self.configure_optimizers()
-
-		# Initialize dataset
-		self.train_dataset, self.test_dataset = self.configure_datasets()
-		self.train_dataloader = DataLoader(self.train_dataset,
-										   batch_size=self.opts.batch_size,
-										   shuffle=True,
-										   num_workers=int(self.opts.workers),
-										   drop_last=True)
-		self.test_dataloader = DataLoader(self.test_dataset,
-										  batch_size=self.opts.test_batch_size,
-										  shuffle=False,
-										  num_workers=int(self.opts.test_workers),
-										  drop_last=True)
-
-		# Initialize logger
-		log_dir = os.path.join(opts.exp_dir, 'logs')
-		os.makedirs(log_dir, exist_ok=True)
-		self.logger = SummaryWriter(log_dir=log_dir)
-
-		# Initialize checkpoint dir
-		self.checkpoint_dir = os.path.join(opts.exp_dir, 'checkpoints')
-		os.makedirs(self.checkpoint_dir, exist_ok=True)
-		self.best_val_loss = None
-		if self.opts.save_interval is None:
-			self.opts.save_interval = self.opts.max_steps
-
-	def train(self):
-		self.net.train()
-		while self.global_step < self.opts.max_steps:
-			for batch_idx, batch in enumerate(self.train_dataloader):
-				self.optimizer.zero_grad()
-				x, y = batch
-				x, y = x.to(self.device).float(), y.to(self.device).float()
-				y_hat, latent = self.net.forward(x, return_latents=True)
-				loss, loss_dict, id_logs = self.calc_loss(x, y, y_hat, latent)
-				loss.backward()
-				self.optimizer.step()
-
-				# Logging related
-				if self.global_step % self.opts.image_interval == 0 or (self.global_step < 1000 and self.global_step % 25 == 0):
-					self.parse_and_log_images(id_logs, x, y, y_hat, title='images/train/faces')
-				if self.global_step % self.opts.board_interval == 0:
-					self.print_metrics(loss_dict, prefix='train')
-					self.log_metrics(loss_dict, prefix='train')
-
-				# Log images of first batch to wandb
-				if self.opts.use_wandb and batch_idx == 0:
-					self.wb_logger.log_images_to_wandb(x, y, y_hat, id_logs, prefix="train", step=self.global_step, opts=self.opts)
-
-				# Validation related
-				val_loss_dict = None
-				if self.global_step % self.opts.val_interval == 0 or self.global_step == self.opts.max_steps:
-					val_loss_dict = self.validate()
-					if val_loss_dict and (self.best_val_loss is None or val_loss_dict['loss'] < self.best_val_loss):
-						self.best_val_loss = val_loss_dict['loss']
-						self.checkpoint_me(val_loss_dict, is_best=True)
-
-				if self.global_step % self.opts.save_interval == 0 or self.global_step == self.opts.max_steps:
-					if val_loss_dict is not None:
-						self.checkpoint_me(val_loss_dict, is_best=False)
-					else:
-						self.checkpoint_me(loss_dict, is_best=False)
-
-				if self.global_step == self.opts.max_steps:
-					print('OMG, finished training!')
-					break
-
-				self.global_step += 1
-
-	def validate(self):
-		self.net.eval()
-		agg_loss_dict = []
-		for batch_idx, batch in enumerate(self.test_dataloader):
-			x, y = batch
-
-			with torch.no_grad():
-				x, y = x.to(self.device).float(), y.to(self.device).float()
-				y_hat, latent = self.net.forward(x, return_latents=True)
-				loss, cur_loss_dict, id_logs = self.calc_loss(x, y, y_hat, latent)
-			agg_loss_dict.append(cur_loss_dict)
-
-			# Logging related
-			self.parse_and_log_images(id_logs, x, y, y_hat,
-									  title='images/test/faces',
-									  subscript='{:04d}'.format(batch_idx))
-
-			# Log images of first batch to wandb
-			if self.opts.use_wandb and batch_idx == 0:
-				self.wb_logger.log_images_to_wandb(x, y, y_hat, id_logs, prefix="test", step=self.global_step, opts=self.opts)
-
-			# For first step just do sanity test on small amount of data
-			if self.global_step == 0 and batch_idx >= 4:
-				self.net.train()
-				return None  # Do not log, inaccurate in first batch
-
-		loss_dict = train_utils.aggregate_loss_dict(agg_loss_dict)
-		self.log_metrics(loss_dict, prefix='test')
-		self.print_metrics(loss_dict, prefix='test')
-
-		self.net.train()
-		return loss_dict
-
-	def checkpoint_me(self, loss_dict, is_best):
-		save_name = 'best_model.pt' if is_best else f'iteration_{self.global_step}.pt'
-		save_dict = self.__get_save_dict()
-		checkpoint_path = os.path.join(self.checkpoint_dir, save_name)
-		torch.save(save_dict, checkpoint_path)
-		with open(os.path.join(self.checkpoint_dir, 'timestamp.txt'), 'a') as f:
-			if is_best:
-				f.write(f'**Best**: Step - {self.global_step}, Loss - {self.best_val_loss} \n{loss_dict}\n')
-				if self.opts.use_wandb:
-					self.wb_logger.log_best_model()
-			else:
-				f.write(f'Step - {self.global_step}, \n{loss_dict}\n')
-
-	def configure_optimizers(self):
-		params = list(self.net.encoder.parameters())
-		if self.opts.train_decoder:
-			params += list(self.net.decoder.parameters())
-		if self.opts.optim_name == 'adam':
-			optimizer = torch.optim.Adam(params, lr=self.opts.learning_rate)
-		else:
-			optimizer = Ranger(params, lr=self.opts.learning_rate)
-		return optimizer
-
-	def configure_datasets(self):
-		if self.opts.dataset_type not in data_configs.DATASETS.keys():
-			Exception(f'{self.opts.dataset_type} is not a valid dataset_type')
-		print(f'Loading dataset for {self.opts.dataset_type}')
-		dataset_args = data_configs.DATASETS[self.opts.dataset_type]
-		transforms_dict = dataset_args['transforms'](self.opts).get_transforms()
-		train_dataset = ImagesDataset(source_root=dataset_args['train_source_root'],
-									  target_root=dataset_args['train_target_root'],
-									  source_transform=transforms_dict['transform_source'],
-									  target_transform=transforms_dict['transform_gt_train'],
-									  opts=self.opts)
-		test_dataset = ImagesDataset(source_root=dataset_args['test_source_root'],
-									 target_root=dataset_args['test_target_root'],
-									 source_transform=transforms_dict['transform_source'],
-									 target_transform=transforms_dict['transform_test'],
-									 opts=self.opts)
-		if self.opts.use_wandb:
-			self.wb_logger.log_dataset_wandb(train_dataset, dataset_name="Train")
-			self.wb_logger.log_dataset_wandb(test_dataset, dataset_name="Test")
-		print(f"Number of training samples: {len(train_dataset)}")
-		print(f"Number of test samples: {len(test_dataset)}")
-		return train_dataset, test_dataset
-
-	def calc_loss(self, x, y, y_hat, latent):
-		loss_dict = {}
-		loss = 0.0
-		id_logs = None
-		if self.opts.id_lambda > 0:
-			loss_id, sim_improvement, id_logs = self.id_loss(y_hat, y, x)
-			loss_dict['loss_id'] = float(loss_id)
-			loss_dict['id_improve'] = float(sim_improvement)
-			loss = loss_id * self.opts.id_lambda
-		if self.opts.l2_lambda > 0:
-			loss_l2 = F.mse_loss(y_hat, y)
-			loss_dict['loss_l2'] = float(loss_l2)
-			loss += loss_l2 * self.opts.l2_lambda
-		if self.opts.lpips_lambda > 0:
-			loss_lpips = self.lpips_loss(y_hat, y)
-			loss_dict['loss_lpips'] = float(loss_lpips)
-			loss += loss_lpips * self.opts.lpips_lambda
-		if self.opts.lpips_lambda_crop > 0:
-			loss_lpips_crop = self.lpips_loss(y_hat[:, :, 35:223, 32:220], y[:, :, 35:223, 32:220])
-			loss_dict['loss_lpips_crop'] = float(loss_lpips_crop)
-			loss += loss_lpips_crop * self.opts.lpips_lambda_crop
-		if self.opts.l2_lambda_crop > 0:
-			loss_l2_crop = F.mse_loss(y_hat[:, :, 35:223, 32:220], y[:, :, 35:223, 32:220])
-			loss_dict['loss_l2_crop'] = float(loss_l2_crop)
-			loss += loss_l2_crop * self.opts.l2_lambda_crop
-		if self.opts.w_norm_lambda > 0:
-			loss_w_norm = self.w_norm_loss(latent, self.net.latent_avg)
-			loss_dict['loss_w_norm'] = float(loss_w_norm)
-			loss += loss_w_norm * self.opts.w_norm_lambda
-		if self.opts.moco_lambda > 0:
-			loss_moco, sim_improvement, id_logs = self.moco_loss(y_hat, y, x)
-			loss_dict['loss_moco'] = float(loss_moco)
-			loss_dict['id_improve'] = float(sim_improvement)
-			loss += loss_moco * self.opts.moco_lambda
-
-		loss_dict['loss'] = float(loss)
-		return loss, loss_dict, id_logs
-
-	def log_metrics(self, metrics_dict, prefix):
-		for key, value in metrics_dict.items():
-			self.logger.add_scalar(f'{prefix}/{key}', value, self.global_step)
-		if self.opts.use_wandb:
-			self.wb_logger.log(prefix, metrics_dict, self.global_step)
-
-	def print_metrics(self, metrics_dict, prefix):
-		print(f'Metrics for {prefix}, step {self.global_step}')
-		for key, value in metrics_dict.items():
-			print(f'\t{key} = ', value)
-
-	def parse_and_log_images(self, id_logs, x, y, y_hat, title, subscript=None, display_count=2):
-		im_data = []
-		for i in range(display_count):
-			cur_im_data = {
-				'input_face': common.log_input_image(x[i], self.opts),
-				'target_face': common.tensor2im(y[i]),
-				'output_face': common.tensor2im(y_hat[i]),
-			}
-			if id_logs is not None:
-				for key in id_logs[i]:
-					cur_im_data[key] = id_logs[i][key]
-			im_data.append(cur_im_data)
-		self.log_images(title, im_data=im_data, subscript=subscript)
-
-	def log_images(self, name, im_data, subscript=None, log_latest=False):
-		fig = common.vis_faces(im_data)
-		step = self.global_step
-		if log_latest:
-			step = 0
-		if subscript:
-			path = os.path.join(self.logger.log_dir, name, f'{subscript}_{step:04d}.jpg')
-		else:
-			path = os.path.join(self.logger.log_dir, name, f'{step:04d}.jpg')
-		os.makedirs(os.path.dirname(path), exist_ok=True)
-		fig.savefig(path)
-		plt.close(fig)
-
-	def __get_save_dict(self):
-		save_dict = {
-			'state_dict': self.net.state_dict(),
-			'opts': vars(self.opts)
-		}
-		# save the latent avg in state_dict for inference if truncation of w was used during training
-		if self.opts.start_from_latent_avg:
-			save_dict['latent_avg'] = self.net.latent_avg
-		return save_dict
diff --git a/spaces/raedeXanto/academic-chatgpt-beta/Assassins Creed Syndicate Update V1 21 Codex The Complete Guide to the Latest Version of the Game.md b/spaces/raedeXanto/academic-chatgpt-beta/Assassins Creed Syndicate Update V1 21 Codex The Complete Guide to the Latest Version of the Game.md
deleted file mode 100644
index 51810331bc0046195429dedb50c2d7666809509c..0000000000000000000000000000000000000000
--- a/spaces/raedeXanto/academic-chatgpt-beta/Assassins Creed Syndicate Update V1 21 Codex The Complete Guide to the Latest Version of the Game.md	
+++ /dev/null
@@ -1,104 +0,0 @@
-
-<h1>Assassins Creed Syndicate Update V1 21 Codex: What's New and How to Install It</h1>
-<p>If you are a fan of <strong>Assassins Creed Syndicate</strong>, the action-adventure game set in Victorian London, you might be interested in the latest update that adds new content and fixes some issues. In this article, we will tell you what's new in <strong>Update V1 21 Codex</strong> and how to install it on your PC.</p>
-<h2>What's New in Update V1 21 Codex</h2>
-<p>The update brings two new missions, two new outfits, two new weapons, and some bug fixes and performance improvements. Here are the details:</p>
-<h2>Assassins Creed Syndicate Update V1 21 Codex</h2><br /><p><b><b>Download File</b> &#9913;&#9913;&#9913; <a href="https://tinourl.com/2uL3xi">https://tinourl.com/2uL3xi</a></b></p><br /><br />
-<ul>
-<li><strong>New missions:</strong> The Darwin and Dickens Conspiracy and The Dreadful Crimes. In these missions, you will help Charles Darwin defend his discoveries from those who want to silence him, and assist a friend of Charles Dickens in solving a series of murders.</li>
-<li><strong>New outfits:</strong> Steampunk Pack and Victorian Legends Pack. These outfits will give you a new look inspired by the science fiction and fantasy genres of the 19th century.</li>
-<li><strong>New weapons:</strong> The Eagle's Splendor and The Devil's Handshake. These weapons are a cane sword and a brass knuckle that will enhance your combat skills.</li>
-<li><strong>Bug fixes and performance improvements:</strong> The update also fixes some issues related to graphics, gameplay, online features, and stability.</li>
-</ul>
-<h2>How to Install Update V1 21 Codex</h2>
-<p>To install the update, you need to have <strong>Assassins Creed Syndicate-CODEX</strong> and <strong>Assassins Creed Syndicate Update 1-CODEX</strong> already installed on your PC. Then, follow these steps:</p>
-<ol>
-<li><strong>Download</strong> the update from one of the links provided in the search results    . The size of the update is about 227 MB.</li>
-<li><strong>Extract</strong> the files from the .rar archive using a program like WinRAR or 7-Zip.</li>
-<li><strong>Mount</strong> or burn the .iso file using a program like Daemon Tools or PowerISO.</li>
-<li><strong>Run</strong> setup.exe and install the update to your game directory.</li>
-<li><strong>Copy</strong> the contents of the CODEX folder from the .iso file to your game directory, replacing the existing files.</li>
-<li><strong>Play</strong> the game with the update applied.</li>
-</ol>
-<h2>Conclusion</h2>
-<p>In this article, we have shown you what's new in <strong>Assassins Creed Syndicate Update V1 21 Codex</strong> and how to install it on your PC. We hope you enjoy the new content and features that this update brings to your gaming experience. If you have any feedback or opinions about the game or the update, feel free to share them with us in the comments section below.</p>
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-Assassins Creed Syndicate Update v1.21-CODEX keygen</p>
-<h2>FAQs</h2>
-<table style="border-collapse: collapse; width: 100%;">
-<tbody>
-<tr style="height: 18px;">
-<td style="width: 50%; height: 18px;"><strong>Question</strong></td>
-<td style="width: 50%; height: 18px;"><strong>Answer</strong></td>
-</tr>
-<tr style="height: 18px;">
-<td style="width: 50%; height: 18px;">What is CODEX?</td>
-<td style="width: 50%; height: 18px;">CODEX is a group of hackers who crack games' DRM protection and release updates for them.</td>
-</tr>
-<tr style="height: 18px;">
-<td style="width: 50%; height: 18px;">What is the size of the update?</td>
-<td style="width: 50%; height: 18px;">The size of the update is about 227 MB.</td>
-</tr>
-<tr style="height: 18px;">
-<td style="width: 50%; height: 18px;">Do I need to have previous updates installed?</td>
-<td style="width: 50%; height: 18px;">Yes, you need to have Assassins Creed Syndicate-CODEX and Assassins Creed Syndicate Update 1-CODEX installed before applying this update.</td>
-</tr>
-<tr style="height: 18px;">
-<td style="width: 50%; height: 18px;">Will the update affect my save files?</td>
-<td style="width: 50%; height: 18px;">No, the update will not affect your save files. However, it is always recommended to backup your save files before installing any updates.</td>
-</tr>
-<tr style="height: 18px;">
-<td style="width: 50%; height: 18px;">Where can I find more information about the game and the update?</td>
-<td style="width: 50%; height: 18px;">You can find more information about the game and the update on the official website of Assassins Creed Syndicate or on various gaming forums and websites.</td>
-</tr>
-</tbody>
-</table>
- ```</p> 0a6ba089eb<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/raedeXanto/academic-chatgpt-beta/DriverPack Solution Online 17.11.12 Crack With License Code ((EXCLUSIVE)) Free Download 2019.md b/spaces/raedeXanto/academic-chatgpt-beta/DriverPack Solution Online 17.11.12 Crack With License Code ((EXCLUSIVE)) Free Download 2019.md
deleted file mode 100644
index 9647e00ed5d2ea098d2aadb5cf3073437796530a..0000000000000000000000000000000000000000
--- a/spaces/raedeXanto/academic-chatgpt-beta/DriverPack Solution Online 17.11.12 Crack With License Code ((EXCLUSIVE)) Free Download 2019.md	
+++ /dev/null
@@ -1,38 +0,0 @@
-<br />
-<h1>DriverPack Solution Online 17.11.12 Crack With License Code Free Download 2019</h1>
-<p>DriverPack Solution Online is a powerful and easy-to-use software that helps you update and install drivers on your computer. It scans your system for outdated, missing or incompatible drivers and downloads the latest versions from its online database. You can also create backups of your drivers and restore them if needed.</p>
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diff --git a/spaces/ramiin2/AutoGPT/autogpt/speech/base.py b/spaces/ramiin2/AutoGPT/autogpt/speech/base.py
deleted file mode 100644
index d74fa51be75b5078134c510b393a06deb0267b2a..0000000000000000000000000000000000000000
--- a/spaces/ramiin2/AutoGPT/autogpt/speech/base.py
+++ /dev/null
@@ -1,50 +0,0 @@
-"""Base class for all voice classes."""
-import abc
-from threading import Lock
-
-from autogpt.config import AbstractSingleton
-
-
-class VoiceBase(AbstractSingleton):
-    """
-    Base class for all voice classes.
-    """
-
-    def __init__(self):
-        """
-        Initialize the voice class.
-        """
-        self._url = None
-        self._headers = None
-        self._api_key = None
-        self._voices = []
-        self._mutex = Lock()
-        self._setup()
-
-    def say(self, text: str, voice_index: int = 0) -> bool:
-        """
-        Say the given text.
-
-        Args:
-            text (str): The text to say.
-            voice_index (int): The index of the voice to use.
-        """
-        with self._mutex:
-            return self._speech(text, voice_index)
-
-    @abc.abstractmethod
-    def _setup(self) -> None:
-        """
-        Setup the voices, API key, etc.
-        """
-        pass
-
-    @abc.abstractmethod
-    def _speech(self, text: str, voice_index: int = 0) -> bool:
-        """
-        Play the given text.
-
-        Args:
-            text (str): The text to play.
-        """
-        pass
diff --git a/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/Adobeacrobatxproamtlibdllcrack.md b/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/Adobeacrobatxproamtlibdllcrack.md
deleted file mode 100644
index 83b549cb6cb3230b069e0b5930f24e199347d262..0000000000000000000000000000000000000000
--- a/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/Adobeacrobatxproamtlibdllcrack.md
+++ /dev/null
@@ -1,113 +0,0 @@
-<br />
-<h1>How to Crack Adobe Acrobat Pro XI with amtlib.dll</h1>
-
-<p>Adobe Acrobat Pro XI is a powerful and versatile software that allows you to create, edit, convert, and secure PDF files. However, it is not a free software and you need to activate it with a license key or a crack. In this article, we will show you how to crack Adobe Acrobat Pro XI with amtlib.dll, a DLL file that bypasses the Adobe licensing system.</p>
-
-<h2>What is amtlib.dll?</h2>
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-<p>amtlib.dll is a DLL file used by Adobe software for license activation and validation. It is a crucial component for Adobe products such as Photoshop, Illustrator, and Premiere Pro. If you encounter an error related to amtlib.dll, it could indicate a problem with the file itself or with the licensing system.</p>
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-<p>Some people use amtlib.dll to crack Adobe software by replacing the original file with a modified one that disables the license check. This way, they can use the full features of the software without paying for it. However, this method is illegal and may cause security risks or compatibility issues.</p>
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-<h2>How to Crack Adobe Acrobat Pro XI with amtlib.dll?</h2>
-
-<p>If you want to crack Adobe Acrobat Pro XI with amtlib.dll, you need to follow these steps:</p>
-
-<ol>
-<li>Download Adobe Acrobat Pro XI from the official website or any other source. Install it on your computer but do not launch it yet.</li>
-<li>Download amtlib.dll from a reliable source or use amtemu.v0.9.1-painter.exe, a tool that can generate amtlib.dll for different Adobe products.</li>
-<li>Locate the installation folder of Adobe Acrobat Pro XI on your computer. It is usually in C:\Program Files (x86)\Adobe\Acrobat 11.0\Acrobat or C:\Program Files\Adobe\Acrobat 11.0\Acrobat.</li>
-<li>Copy the downloaded amtlib.dll file and paste it in the installation folder. Replace the existing file when prompted.</li>
-<li>Launch Adobe Acrobat Pro XI and enjoy the full version without any license restrictions.</li>
-</ol>
-
-<h2>Conclusion</h2>
-
-<p>In this article, we have shown you how to crack Adobe Acrobat Pro XI with amtlib.dll, a DLL file that bypasses the Adobe licensing system. However, we do not recommend this method as it is illegal and may cause security risks or compatibility issues. If you want to use Adobe Acrobat Pro XI legally and safely, you should buy a license key from the official website or use a free alternative such as PDFescape or Foxit Reader.</p>
-<h2>What are the Benefits of Cracking Adobe Acrobat Pro XI with amtlib.dll?</h2>
-
-<p>Cracking Adobe Acrobat Pro XI with amtlib.dll may seem tempting for some users who want to enjoy the full features of the software without paying for it. Some of the benefits of cracking Adobe Acrobat Pro XI with amtlib.dll are:</p>
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-<ul>
-<li>You can edit PDF files with ease, such as resizing, replacing, and adjusting images, adding comments, annotations, and signatures, and more.</li>
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-<li>You can collect form responses online with the Adobe FormsCentral service.</li>
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-<li>You can export comments from PDF files to Word and update text faster than ever.</li>
-<li>You can protect your PDF files with passwords and permissions to prevent unauthorized access or modification.</li>
-</ul>
-
-<h2>What are the Risks of Cracking Adobe Acrobat Pro XI with amtlib.dll?</h2>
-
-<p>However, cracking Adobe Acrobat Pro XI with amtlib.dll is not a risk-free method. It is illegal and may cause security risks or compatibility issues. Some of the risks of cracking Adobe Acrobat Pro XI with amtlib.dll are:</p>
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-<ul>
-<li>You may violate the intellectual property rights of Adobe and face legal consequences.</li>
-<li>You may download a fake or malicious amtlib.dll file that contains viruses, malware, spyware, or ransomware that can harm your computer or steal your personal information.</li>
-<li>You may encounter errors or bugs that affect the performance or functionality of the software or your system.</li>
-<li>You may lose access to updates, patches, fixes, or support from Adobe that can improve the software or resolve issues.</li>
-<li>You may compromise the quality or integrity of your PDF files or documents.</li>
-</ul>
-
-<h2>How to Crack Adobe Acrobat Pro XI with amtlib.dll Safely?</h2>
-
-<p>If you still want to crack Adobe Acrobat Pro XI with amtlib.dll despite the risks, you should take some precautions to minimize the potential damage. Here are some tips on how to crack Adobe Acrobat Pro XI with amtlib.dll safely:</p>
-
-<ol>
-<li>Backup your important files and documents before cracking the software. This way, you can restore them in case something goes wrong.</li>
-<li>Download amtlib.dll from a reliable source or use amtemu.v0.9.1-painter.exe, a tool that can generate amtlib.dll for different Adobe products. Do not download from unknown or suspicious websites that may contain malware or viruses.</li>
-<li>Scan the downloaded amtlib.dll file with an antivirus or anti-malware program before using it. This way, you can detect and remove any potential threats.</li>
-<li>Disable your internet connection and antivirus program before cracking the software. This way, you can prevent any interference or detection from Adobe or other sources.</li>
-<li>Follow the instructions carefully and do not modify any other files or settings that may affect the software or your system.</li>
-</ol>
-
-<h2>Conclusion</h2>
-
-<p>In this article, we have shown you how to crack Adobe Acrobat Pro XI with amtlib.dll, a DLL file that bypasses the Adobe licensing system. We have also discussed the benefits and risks of cracking Adobe Acrobat Pro XI with amtlib.dll and how to do it safely. However, we do not recommend this method as it is illegal and may cause security risks or compatibility issues. If you want to use Adobe Acrobat Pro XI legally and safely, you should buy a license key from the official website or use a free alternative such as PDFescape or Foxit Reader.</p>
-<h2>How to Install Adobe Acrobat Pro XI?</h2>
-
-<p>If you have a valid license key for Adobe Acrobat Pro XI, you can install it on your computer by following these steps:</p>
-<p></p>
-
-<ol>
-<li>Download Adobe Acrobat Pro XI from the official website or any other source. You can choose between the 32-bit or 64-bit version depending on your system.</li>
-<li>Run the installer and follow the instructions on the screen. You may need to enter your Adobe ID and password to sign in.</li>
-<li>Enter your license key when prompted and accept the terms and conditions.</li>
-<li>Select the components and features you want to install and customize your preferences.</li>
-<li>Wait for the installation to complete and click Finish.</li>
-<li>Launch Adobe Acrobat Pro XI and enjoy the software.</li>
-</ol>
-
-<h2>How to Update Adobe Acrobat Pro XI?</h2>
-
-<p>If you want to keep your Adobe Acrobat Pro XI up to date with the latest features, fixes, and security patches, you can update it by following these steps:</p>
-
-<ol>
-<li>Launch Adobe Acrobat Pro XI and go to Help > Check for Updates.</li>
-<li>If there are any available updates, click Install.</li>
-<li>Wait for the updates to download and install. You may need to restart your computer or the software.</li>
-<li>Launch Adobe Acrobat Pro XI again and check if the updates are applied successfully.</li>
-</ol>
-
-<h2>How to Uninstall Adobe Acrobat Pro XI?</h2>
-
-<p>If you want to uninstall Adobe Acrobat Pro XI from your computer, you can do so by following these steps:</p>
-
-<ol>
-<li>Go to Control Panel > Programs > Programs and Features.</li>
-<li>Select Adobe Acrobat XI Pro from the list of programs and click Uninstall.</li>
-<li>Follow the instructions on the screen to remove the software and its components.</li>
-<li>Restart your computer if required.</li>
-</ol>
-
-<h2>Conclusion</h2>
-
-<p>In this article, we have shown you how to crack Adobe Acrobat Pro XI with amtlib.dll, a DLL file that bypasses the Adobe licensing system. We have also discussed the benefits and risks of cracking Adobe Acrobat Pro XI with amtlib.dll and how to do it safely. Moreover, we have explained how to install, update, and uninstall Adobe Acrobat Pro XI on your computer. However, we do not recommend cracking Adobe Acrobat Pro XI with amtlib.dll as it is illegal and may cause security risks or compatibility issues. If you want to use Adobe Acrobat Pro XI legally and safely, you should buy a license key from the official website or use a free alternative such as PDFescape or Foxit Reader.</p>
-<h2>Conclusion</h2>
-
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\ No newline at end of file
diff --git a/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/Descargar I-rocker 7 Full Taring 2021.md b/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/Descargar I-rocker 7 Full Taring 2021.md
deleted file mode 100644
index c41fbbeac68413792b330c53ecd787d72037c1e7..0000000000000000000000000000000000000000
--- a/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/Descargar I-rocker 7 Full Taring 2021.md	
+++ /dev/null
@@ -1,49 +0,0 @@
-
-<h1>Descargar I-rocker 7 Full Taringa: Cómo disfrutar del paddle surf con el mejor equipo inflable</h1>
-
-<p>¿Te gusta el paddle surf y quieres practicarlo con el mejor equipo inflable del mercado? Entonces te interesa descargar I-rocker 7 Full Taringa, un programa que te permite acceder a los mejores tableros, remos y accesorios de la marca iROCKER, líder en el sector de los SUP inflables.</p>
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-
-<h2>¿Qué es I-rocker 7 Full Taringa?</h2>
-
-<p>I-rocker 7 Full Taringa es un programa que te permite descargar de forma gratuita y segura los catálogos, manuales y vídeos de los productos de iROCKER, una marca estadounidense que se dedica a fabricar y vender tableros de paddle surf inflables de alta calidad y rendimiento.</p>
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-<p>Además, con I-rocker 7 Full Taringa podrás ver vídeos instructivos sobre cómo inflar, desinflar, guardar y transportar tu equipo de paddle surf, así como consejos y trucos para mejorar tu técnica y tu seguridad en el agua.</p>
-<p></p>
-
-<h2>¿Cómo descargar I-rocker 7 Full Taringa?</h2>
-
-<p>Descargar I-rocker 7 Full Taringa es muy fácil y rápido. Solo tienes que seguir estos pasos:</p>
-
-<ol>
-<li>Entra en la página web de <a href="https://hitmizik.com/descargar-i-rocker-7-2021-full-taringa/">HitMizik</a>, un sitio web especializado en descargas gratuitas y seguras de programas y aplicaciones.</li>
-<li>Busca el programa I-rocker 7 Full Taringa en el buscador o en la categoría de deportes.</li>
-<li>Haz clic en el botón de descargar y espera a que se complete la descarga en tu ordenador.</li>
-<li>Ejecuta el archivo descargado y sigue las instrucciones para instalar el programa en tu ordenador.</li>
-<li>Abre el programa y disfruta de todo el contenido de iROCKER en tu pantalla.</li>
-</ol>
-
-<h2>¿Qué ventajas tiene I-rocker 7 Full Taringa?</h2>
-
-<p>I-rocker 7 Full Taringa tiene muchas ventajas para los amantes del paddle surf. Estas son algunas de ellas:</p>
-
-<ul>
-<li>Te permite acceder a toda la información y el contenido de iROCKER sin necesidad de conexión a internet.</li>
-<li>Te ayuda a elegir el equipo de paddle surf inflable que mejor se adapta a tus necesidades, gustos y presupuesto.</li>
-<li>Te enseña a usar correctamente tu equipo de paddle surf inflable para garantizar su durabilidad y tu seguridad.</li>
-<li>Te ofrece consejos y trucos para mejorar tu habilidad y tu diversión en el paddle surf.</li>
-<li>Te permite estar al día de las novedades, las ofertas y los eventos de iROCKER.</li>
-</ul>
-
-<h2>¿Qué beneficios te ofrece el paddle surf con los productos de iROCKER?</h2>
-
-<p>El paddle surf es un deporte acuático que consiste en remar de pie sobre una tabla flotante. Tiene muchos beneficios para la salud física y mental, como:</p>
-
-<ul>
-<li>Mejora la fuerza, la resistencia,</p> d5da3c52bf<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/Dreamcalc Pro Edition V4.8.0 License Key.md b/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/Dreamcalc Pro Edition V4.8.0 License Key.md
deleted file mode 100644
index 59e12e1f53592632d8ee0e85a633c03ac65c8f94..0000000000000000000000000000000000000000
--- a/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/Dreamcalc Pro Edition V4.8.0 License Key.md	
+++ /dev/null
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diff --git a/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/FSX Orientalsim Nairobi Intl India.md b/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/FSX Orientalsim Nairobi Intl India.md
deleted file mode 100644
index 2e3ceeadfe005134117712f048c1123bc368ec97..0000000000000000000000000000000000000000
--- a/spaces/recenWmenso/ChatGPT-with-Voice-Cloning-for-All/datasets/FSX Orientalsim Nairobi Intl India.md	
+++ /dev/null
@@ -1,7 +0,0 @@
-<br />
-<p>then we also saw the multiple convergences of images as we turned the pages of <i>natural history</i>. each picture showed an intricately detailed model, which explained all the species in that genus and family.</p>
-<p>the colonial conquest and rule were carried out on the basis of the ideological conceptions of imperialism- that the peoples of the colonies were inferior to the colonizers and subjugated to their rulers, which in turn were stronger and more significant due to their superior culture, technology, and military power. the imposition of these theories on the subjects of the empire, who were colonized as well as subjugated, provoked a variety of reactions from the colonized, who were divided by their respective experiences and traditions. one of the most outstanding historic events within the history of imperialism are the revolts against the european colonial regimes. in the 20th century, the international anti-imperialist movement developed and became a powerful force within the countries which were colonized by european powers. the belief that imperialism was a destructive influence for the colonized, for the victims of the colonizers and also for the colonial empires themselves was a significant stage of the development of anti-imperialist thought. this stage is characterized by the formulation of the theory of imperialism. the leading representatives of the anti-imperialist movement include such figures as <b>lenin</b> (lenin, 1901 ), <b>trotsky</b> (trotsky, 1901 ), and <b>mao</b> <b>tzu</b> (mao tzu, 1913).</p>
-<h2>FSX Orientalsim Nairobi Intl India</h2><br /><p><b><b>Download File</b> &mdash;&mdash;&mdash;&mdash;&mdash; <a href="https://urlgoal.com/2uCMrH">https://urlgoal.com/2uCMrH</a></b></p><br /><br />
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\ No newline at end of file
diff --git a/spaces/rifkat/UzGPT-uz/app.py b/spaces/rifkat/UzGPT-uz/app.py
deleted file mode 100644
index 0202ca801ce05e14f99cee60cfd63ba7c932e858..0000000000000000000000000000000000000000
--- a/spaces/rifkat/UzGPT-uz/app.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import gradio as gr
-from transformers import pipeline
-from espnet2.bin.tts_inference import Text2Speech
-import warnings
-from krill_to_latin import Perevod
-
-
-perevod  = Perevod()
-warnings.filterwarnings('ignore')
-
-
-def generateTextAndAudio(inputText, numGen):
-    # --- Generating the Text ---
-    # With the provided text from user, generate more text up to `numGen` tokens/sub-words
-    inputText = perevod.translate_for_summarizer(inputText)
-    textOutput = textGenerator(inputText, max_length=numGen)
-    # The output of the text generator is a list of dictionaries, grab the first dictionary
-    # then get the generated text from the dictionary using the `generated_text` key
-    genText = textOutput[0]['generated_text']
-
-    print("-" * 75)
-    print("Input Text:", inputText)
-    print("Generated Text:", genText)
-    print("-" * 75)
-
-    # --- Generating the Audio ---
-    # With the newly generated text, generate some speech
-    #audioOutput = audioGenerator(genText)
-    # Get the wav data
-    #genAudio = audioOutput['wav']
-
-    # Return two things
-    # 1) Generated Text
-    # 2) 24k sampling rate, and the Generated Audio (wav) as numpy (instead of tensor)
-    # return genText, (24000, genAudio.numpy())
-    return genText
-    
-
-# Main
-textGenerator = pipeline('text-generation', model='rifkat/GPTuz')
-audioGenerator = Text2Speech.from_pretrained("espnet/kan-bayashi_ljspeech_joint_finetune_conformer_fastspeech2_hifigan")
-
-input1_textbox = gr.Textbox(label="Tekst*")
-input2_slider = gr.Slider(minimum=1, maximum=100, step=1, default=30, label="Generatsiya bo'ladigan so'zlar soni")
-
-output1_textbox = gr.Textbox(label="Generatsiya bo'lgan tekst")
-# output2_Audio = gr.Audio(label="Generatsiya bo'lgan audio")
-
-title = "Tekst gereratsiya qiling!"
-description = "Tekst kiriting va nechta so'z generatsiya qilishini"
-
-examples = [
-    ["Давлат хавфсизлик хизмати", 50],
-    ["Шунинг учун биз", 30],
-    ["Лекин бугун бу нарсани қилмасак", 60]
-]
-iface = gr.Interface(fn=generateTextAndAudio,
-                     inputs=[input1_textbox, input2_slider],
-                     # outputs=[output1_textbox, output2_Audio],
-                     outputs=output1_textbox,
-                     title=title,
-                     description=description,
-                     examples=examples).launch(debug=True)
\ No newline at end of file
diff --git a/spaces/rockeycoss/Prompt-Segment-Anything-Demo/projects/instance_segment_anything/ops/modules/__init__.py b/spaces/rockeycoss/Prompt-Segment-Anything-Demo/projects/instance_segment_anything/ops/modules/__init__.py
deleted file mode 100644
index f82cb1ad9d634a87b54ba6a71b58a230bcade5fe..0000000000000000000000000000000000000000
--- a/spaces/rockeycoss/Prompt-Segment-Anything-Demo/projects/instance_segment_anything/ops/modules/__init__.py
+++ /dev/null
@@ -1,9 +0,0 @@
-# ------------------------------------------------------------------------------------------------
-# Deformable DETR
-# Copyright (c) 2020 SenseTime. All Rights Reserved.
-# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
-# ------------------------------------------------------------------------------------------------
-# Modified from https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch/tree/pytorch_1.0.0
-# ------------------------------------------------------------------------------------------------
-
-from .ms_deform_attn import MSDeformAttn
diff --git a/spaces/rorallitri/biomedical-language-models/logs/Calcolo Marcellini Sbordone Pdf Download.md b/spaces/rorallitri/biomedical-language-models/logs/Calcolo Marcellini Sbordone Pdf Download.md
deleted file mode 100644
index 818b2bc0fa784624ae69d055705755a18e901395..0000000000000000000000000000000000000000
--- a/spaces/rorallitri/biomedical-language-models/logs/Calcolo Marcellini Sbordone Pdf Download.md	
+++ /dev/null
@@ -1,8 +0,0 @@
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deleted file mode 100644
index 3cbe3b0031ea98bebff9d39d45622c3521a998e7..0000000000000000000000000000000000000000
--- a/spaces/rorallitri/biomedical-language-models/logs/Hd Belly Dance 1080p 350.md	
+++ /dev/null
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deleted file mode 100644
index 041b342db23a305ef5131aac0e32dc6b97599edf..0000000000000000000000000000000000000000
--- a/spaces/rorallitri/biomedical-language-models/logs/Kingdoms Of Amalur Reckoning Walkthrough Pdf Download Complete Guide to All Quests and Lorestones.md	
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diff --git a/spaces/ruboin/faster-whisper-webui/src/hooks/subTaskProgressListener.py b/spaces/ruboin/faster-whisper-webui/src/hooks/subTaskProgressListener.py
deleted file mode 100644
index 9a8eaa876fcd18032875d67535e0558494842c60..0000000000000000000000000000000000000000
--- a/spaces/ruboin/faster-whisper-webui/src/hooks/subTaskProgressListener.py
+++ /dev/null
@@ -1,37 +0,0 @@
-from src.hooks.progressListener import ProgressListener
-
-from typing import Union
-
-class SubTaskProgressListener(ProgressListener):
-    """
-    A sub task listener that reports the progress of a sub task to a base task listener
-    Parameters
-    ----------
-    base_task_listener : ProgressListener
-        The base progress listener to accumulate overall progress in.
-    base_task_total : float
-        The maximum total progress that will be reported to the base progress listener.
-    sub_task_start : float
-        The starting progress of a sub task, in respect to the base progress listener.
-    sub_task_total : float
-        The total amount of progress a sub task will report to the base progress listener.
-    """
-    def __init__(
-        self,
-        base_task_listener: ProgressListener,
-        base_task_total: float,
-        sub_task_start: float,
-        sub_task_total: float,
-    ):
-        self.base_task_listener = base_task_listener
-        self.base_task_total = base_task_total
-        self.sub_task_start = sub_task_start
-        self.sub_task_total = sub_task_total
-
-    def on_progress(self, current: Union[int, float], total: Union[int, float]):
-        sub_task_progress_frac = current / total
-        sub_task_progress = self.sub_task_start + self.sub_task_total * sub_task_progress_frac
-        self.base_task_listener.on_progress(sub_task_progress, self.base_task_total)
-
-    def on_finished(self):
-        self.base_task_listener.on_progress(self.sub_task_start + self.sub_task_total, self.base_task_total)
\ No newline at end of file
diff --git a/spaces/rushic24/Priyanka-Chopra-TTS/synthesize.py b/spaces/rushic24/Priyanka-Chopra-TTS/synthesize.py
deleted file mode 100644
index ee501d52896d392ad3732a6716f04246db63ffb1..0000000000000000000000000000000000000000
--- a/spaces/rushic24/Priyanka-Chopra-TTS/synthesize.py
+++ /dev/null
@@ -1,203 +0,0 @@
-import argparse
-import os
-import matplotlib.pyplot as plt
-import torch
-import numpy as np
-import matplotlib
-from scipy.io.wavfile import write
-from os.path import dirname, abspath
-import sys
-
-import nltk
-
-nltk.download("punkt")
-
-sys.path.append(dirname(dirname(abspath(__file__))))
-matplotlib.use("Agg")
-
-from training.tacotron2_model import Tacotron2
-from training.clean_text import clean_text
-from training import DEFAULT_ALPHABET
-from synthesis.vocoders import Hifigan
-
-
-def load_model(model_path):
-    """
-    Loads the Tacotron2 model.
-    Uses GPU if available, otherwise uses CPU.
-
-    Parameters
-    ----------
-    model_path : str
-        Path to tacotron2 model
-
-    Returns
-    -------
-    Tacotron2
-        Loaded tacotron2 model
-    """
-    if torch.cuda.is_available():
-        model = Tacotron2().cuda()
-        model.load_state_dict(torch.load(model_path)["state_dict"])
-        _ = model.cuda().eval().half()
-    else:
-        model = Tacotron2()
-        model.load_state_dict(torch.load(model_path, map_location=torch.device("cpu"))["state_dict"])
-    return model
-
-
-def generate_graph(alignments, filepath, heading=""):
-    """
-    Generates synthesis alignment graph image.
-
-    Parameters
-    ----------
-    alignments : list
-        Numpy alignment data
-    filepath : str
-        Path to save image to
-    heading : str (optional)
-        Graph heading
-    """
-    data = alignments.float().data.cpu().numpy()[0].T
-    plt.imshow(data, aspect="auto", origin="lower", interpolation="none")
-    if heading:
-        plt.title(heading)
-    plt.savefig(filepath)
-
-
-def text_to_sequence(text, symbols):
-    """
-    Generates text sequence for audio file
-
-    Parameters
-    ----------
-    text : str
-        Text to synthesize
-    symbols : list
-        List of valid symbols
-    """
-    symbol_to_id = {s: i for i, s in enumerate(symbols)}
-    sequence = np.array([[symbol_to_id[s] for s in text if s in symbol_to_id]])
-    if torch.cuda.is_available():
-        return torch.autograd.Variable(torch.from_numpy(sequence)).cuda().long()
-    else:
-        return torch.autograd.Variable(torch.from_numpy(sequence)).cpu().long()
-
-
-def join_alignment_graphs(alignments):
-    """
-    Joins multiple alignment graphs.
-
-    Parameters
-    ----------
-    alignments : list
-        List of alignment Tensors
-
-    Returns
-    -------
-    Tensor
-        Combined alignment tensor
-    """
-    alignment_sizes = [a.size() for a in alignments]
-    joined = torch.zeros((1, sum([a[1] for a in alignment_sizes]), sum([a[2] for a in alignment_sizes])))
-    current_x = 0
-    current_y = 0
-    for alignment in alignments:
-        joined[:, current_x : current_x + alignment.size()[1], current_y : current_y + alignment.size()[2]] = alignment
-        current_x += alignment.size()[1]
-        current_y += alignment.size()[2]
-    return joined
-
-
-def synthesize(
-    model,
-    text,
-    symbols=DEFAULT_ALPHABET,
-    graph_path=None,
-    audio_path=None,
-    vocoder=None,
-    silence_padding=0.15,
-    sample_rate=22050,
-    max_decoder_steps=1000,
-    split_text=False,
-):
-    """
-    Synthesise text for a given model.
-    Produces graph and/or audio file when given.
-    Supports multi line synthesis (seperated by \n).
-
-    Parameters
-    ----------
-    model : Tacotron2
-        Tacotron2 model
-    text : str/list
-        Text to synthesize (or list of lines to synthesize)
-    symbols : list
-        List of symbols (default is English)
-    graph_path : str (optional)
-        Path to save alignment graph to
-    audio_path : str (optional)
-        Path to save audio file to
-    vocoder : Object (optional)
-        Vocoder model (required if generating audio)
-    silence_padding : float (optional)
-        Seconds of silence to seperate each clip by with multi-line synthesis (default is 0.15)
-    sample_rate : int (optional)
-        Audio sample rate (default is 22050)
-    max_decoder_steps : int (optional)
-        Max decoder steps controls sequence length and memory usage during inference.
-        Increasing this will use more memory but may allow for longer sentences. (default is 1000)
-    split_text : bool (optional)
-        Whether to use the split text tool to convert a block of text into multiple shorter sentences
-        to synthesize (default is True)
-
-    Raises
-    -------
-    AssertionError
-        If audio_path is given without a vocoder
-    """
-    if audio_path:
-        assert vocoder, "Missing vocoder"
-
-    if not isinstance(text, list) and split_text:
-        # Split text into multiple lines
-        text = nltk.tokenize.sent_tokenize(text)
-
-    if isinstance(text, list):
-        # Multi-lines given
-        text = [line.strip() for line in text if line.strip()]
-        mels = []
-        alignments = []
-        for line in text:
-            text = clean_text(line, symbols)
-            sequence = text_to_sequence(text, symbols)
-            _, mel_outputs_postnet, _, alignment = model.inference(sequence, max_decoder_steps)
-            mels.append(mel_outputs_postnet)
-            alignments.append(alignment)
-
-        if graph_path:
-            generate_graph(join_alignment_graphs(alignments), graph_path)
-
-        if audio_path:
-            silence = np.zeros(int(silence_padding * sample_rate)).astype("int16")
-            audio_segments = []
-            for i in range(len(mels)):
-                audio_segments.append(vocoder.generate_audio(mels[i]))
-                if i != len(mels) - 1:
-                    audio_segments.append(silence)
-
-            audio = np.concatenate(audio_segments)
-            write(audio_path, sample_rate, audio)
-    else:
-        # Single sentence
-        text = clean_text(text.strip(), symbols)
-        sequence = text_to_sequence(text, symbols)
-        _, mel_outputs_postnet, _, alignment = model.inference(sequence, max_decoder_steps)
-
-        if graph_path:
-            generate_graph(alignment, graph_path)
-
-        if audio_path:
-            audio = vocoder.generate_audio(mel_outputs_postnet)
-            write(audio_path, sample_rate, audio)
\ No newline at end of file
diff --git a/spaces/ruslanmv/Text2Lip/utils/voice.py b/spaces/ruslanmv/Text2Lip/utils/voice.py
deleted file mode 100644
index 1564e696ea36f6f4b740c8b1bc690ba46c015b44..0000000000000000000000000000000000000000
--- a/spaces/ruslanmv/Text2Lip/utils/voice.py
+++ /dev/null
@@ -1,120 +0,0 @@
-import gradio as gr
-import os
-import sys
-TTS_PATH = "TTS/"
-# add libraries into environment
-sys.path.append(TTS_PATH) # set this if TTS is not installed globally
-import os
-import string
-import time
-import argparse
-import json
-import numpy as np
-import IPython
-from IPython.display import Audio
-import torch
-from TTS.tts.utils.synthesis import synthesis
-from TTS.tts.utils.text.symbols import make_symbols, phonemes, symbols
-try:
-  from TTS.utils.audio import AudioProcessor
-except:
-  from TTS.utils.audio import AudioProcessor
-from TTS.tts.models import setup_model
-from TTS.config import load_config
-from TTS.tts.models.vits import *  
-OUT_PATH = 'out/'
-# create output path
-os.makedirs(OUT_PATH, exist_ok=True)
-import os
-# Get the current working directory
-parent_dir = os.getcwd()
-print(parent_dir)
-# model vars 
-MODEL_PATH = parent_dir+'/best_model.pth.tar'
-CONFIG_PATH = parent_dir+'/config.json'
-TTS_LANGUAGES = parent_dir+"/language_ids.json"
-TTS_SPEAKERS = parent_dir+"/speakers.json"
-USE_CUDA = torch.cuda.is_available()  
-# load the config
-C = load_config(CONFIG_PATH)
-# load the audio processor
-ap = AudioProcessor(**C.audio)
-speaker_embedding = None
-C.model_args['d_vector_file'] = TTS_SPEAKERS
-C.model_args['use_speaker_encoder_as_loss'] = False
-model = setup_model(C)
-model.language_manager.set_language_ids_from_file(TTS_LANGUAGES)
-# print(model.language_manager.num_languages, model.embedded_language_dim)
-# print(model.emb_l)
-cp = torch.load(MODEL_PATH, map_location=torch.device('cpu'))
-# remove speaker encoder
-model_weights = cp['model'].copy()
-for key in list(model_weights.keys()):
-  if "speaker_encoder" in key:
-    del model_weights[key]
-model.load_state_dict(model_weights)
-model.eval()
-if USE_CUDA:
-    model = model.cuda()
-# synthesize voice
-use_griffin_lim = False
-os.system('pip install -q pydub ffmpeg-normalize')
-CONFIG_SE_PATH = "config_se.json"
-CHECKPOINT_SE_PATH = "SE_checkpoint.pth.tar"
-from TTS.tts.utils.speakers import SpeakerManager
-from pydub import AudioSegment
-import librosa
-SE_speaker_manager = SpeakerManager(encoder_model_path=CHECKPOINT_SE_PATH, encoder_config_path=CONFIG_SE_PATH, use_cuda=USE_CUDA)
-def compute_spec(ref_file):
-  y, sr = librosa.load(ref_file, sr=ap.sample_rate)
-  spec = ap.spectrogram(y)
-  spec = torch.FloatTensor(spec).unsqueeze(0)
-  return spec
-  
-def greet(Text,Voicetoclone):
-    text= "%s" % (Text)
-    reference_files= "%s" % (Voicetoclone)
-    print("path url")
-    print(Voicetoclone)
-    sample= str(Voicetoclone)
-    size= len(reference_files)*sys.getsizeof(reference_files)
-    size2= size / 1000000
-    if (size2 > 0.012) or len(text)>2000:
-      message="File is greater than 30mb or Text inserted is longer than 2000 characters. Please re-try with smaller sizes."
-      print(message)
-      raise SystemExit("File is greater than 30mb. Please re-try or Text inserted is longer than 2000 characters. Please re-try with smaller sizes.")
-    else:
-      os.system('ffmpeg-normalize $sample -nt rms -t=-27 -o $sample -ar 16000 -f')
-      reference_emb = SE_speaker_manager.compute_d_vector_from_clip(reference_files)
-      model.length_scale = 1  # scaler for the duration predictor. The larger it is, the slower the speech.
-      model.inference_noise_scale = 0.3 # defines the noise variance applied to the random z vector at inference.
-      model.inference_noise_scale_dp = 0.3 # defines the noise variance applied to the duration predictor z vector at inference.
-      text = text
-      model.language_manager.language_id_mapping
-      language_id = 0
-    
-      print(" > text: {}".format(text))
-      wav, alignment, _, _ = synthesis(
-                        model,
-                        text,
-                        C,
-                        "cuda" in str(next(model.parameters()).device),
-                        ap,
-                        speaker_id=None,
-                        d_vector=reference_emb,
-                        style_wav=None,
-                        language_id=language_id,
-                        enable_eos_bos_chars=C.enable_eos_bos_chars,
-                        use_griffin_lim=True,
-                        do_trim_silence=False,
-                    ).values()
-      print("Generated Audio")
-      IPython.display.display(Audio(wav, rate=ap.sample_rate))
-      #file_name = text.replace(" ", "_")
-      #file_name = file_name.translate(str.maketrans('', '', string.punctuation.replace('_', ''))) + '.wav'
-      file_name='clonned_audio.wav'
-      out_path = os.path.join(OUT_PATH, file_name)
-      print(" > Saving output to {}".format(out_path))
-      ap.save_wav(wav, out_path)
-      return out_path
-
diff --git a/spaces/sam-hq-team/sam-hq/GroundingDINO/groundingdino/models/GroundingDINO/backbone/swin_transformer.py b/spaces/sam-hq-team/sam-hq/GroundingDINO/groundingdino/models/GroundingDINO/backbone/swin_transformer.py
deleted file mode 100644
index 1c66194deb5dd370e797e57e2712f44303e568cc..0000000000000000000000000000000000000000
--- a/spaces/sam-hq-team/sam-hq/GroundingDINO/groundingdino/models/GroundingDINO/backbone/swin_transformer.py
+++ /dev/null
@@ -1,802 +0,0 @@
-# ------------------------------------------------------------------------
-# Grounding DINO
-# url: https://github.com/IDEA-Research/GroundingDINO
-# Copyright (c) 2023 IDEA. All Rights Reserved.
-# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
-# ------------------------------------------------------------------------
-# DINO
-# Copyright (c) 2022 IDEA. All Rights Reserved.
-# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
-# --------------------------------------------------------
-# modified from https://github.com/SwinTransformer/Swin-Transformer-Object-Detection/blob/master/mmdet/models/backbones/swin_transformer.py
-# --------------------------------------------------------
-
-import numpy as np
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-import torch.utils.checkpoint as checkpoint
-from timm.models.layers import DropPath, to_2tuple, trunc_normal_
-
-from groundingdino.util.misc import NestedTensor
-
-
-class Mlp(nn.Module):
-    """Multilayer perceptron."""
-
-    def __init__(
-        self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.0
-    ):
-        super().__init__()
-        out_features = out_features or in_features
-        hidden_features = hidden_features or in_features
-        self.fc1 = nn.Linear(in_features, hidden_features)
-        self.act = act_layer()
-        self.fc2 = nn.Linear(hidden_features, out_features)
-        self.drop = nn.Dropout(drop)
-
-    def forward(self, x):
-        x = self.fc1(x)
-        x = self.act(x)
-        x = self.drop(x)
-        x = self.fc2(x)
-        x = self.drop(x)
-        return x
-
-
-def window_partition(x, window_size):
-    """
-    Args:
-        x: (B, H, W, C)
-        window_size (int): window size
-    Returns:
-        windows: (num_windows*B, window_size, window_size, C)
-    """
-    B, H, W, C = x.shape
-    x = x.view(B, H // window_size, window_size, W // window_size, window_size, C)
-    windows = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(-1, window_size, window_size, C)
-    return windows
-
-
-def window_reverse(windows, window_size, H, W):
-    """
-    Args:
-        windows: (num_windows*B, window_size, window_size, C)
-        window_size (int): Window size
-        H (int): Height of image
-        W (int): Width of image
-    Returns:
-        x: (B, H, W, C)
-    """
-    B = int(windows.shape[0] / (H * W / window_size / window_size))
-    x = windows.view(B, H // window_size, W // window_size, window_size, window_size, -1)
-    x = x.permute(0, 1, 3, 2, 4, 5).contiguous().view(B, H, W, -1)
-    return x
-
-
-class WindowAttention(nn.Module):
-    """Window based multi-head self attention (W-MSA) module with relative position bias.
-    It supports both of shifted and non-shifted window.
-    Args:
-        dim (int): Number of input channels.
-        window_size (tuple[int]): The height and width of the window.
-        num_heads (int): Number of attention heads.
-        qkv_bias (bool, optional):  If True, add a learnable bias to query, key, value. Default: True
-        qk_scale (float | None, optional): Override default qk scale of head_dim ** -0.5 if set
-        attn_drop (float, optional): Dropout ratio of attention weight. Default: 0.0
-        proj_drop (float, optional): Dropout ratio of output. Default: 0.0
-    """
-
-    def __init__(
-        self,
-        dim,
-        window_size,
-        num_heads,
-        qkv_bias=True,
-        qk_scale=None,
-        attn_drop=0.0,
-        proj_drop=0.0,
-    ):
-
-        super().__init__()
-        self.dim = dim
-        self.window_size = window_size  # Wh, Ww
-        self.num_heads = num_heads
-        head_dim = dim // num_heads
-        self.scale = qk_scale or head_dim**-0.5
-
-        # define a parameter table of relative position bias
-        self.relative_position_bias_table = nn.Parameter(
-            torch.zeros((2 * window_size[0] - 1) * (2 * window_size[1] - 1), num_heads)
-        )  # 2*Wh-1 * 2*Ww-1, nH
-
-        # get pair-wise relative position index for each token inside the window
-        coords_h = torch.arange(self.window_size[0])
-        coords_w = torch.arange(self.window_size[1])
-        coords = torch.stack(torch.meshgrid([coords_h, coords_w]))  # 2, Wh, Ww
-        coords_flatten = torch.flatten(coords, 1)  # 2, Wh*Ww
-        relative_coords = coords_flatten[:, :, None] - coords_flatten[:, None, :]  # 2, Wh*Ww, Wh*Ww
-        relative_coords = relative_coords.permute(1, 2, 0).contiguous()  # Wh*Ww, Wh*Ww, 2
-        relative_coords[:, :, 0] += self.window_size[0] - 1  # shift to start from 0
-        relative_coords[:, :, 1] += self.window_size[1] - 1
-        relative_coords[:, :, 0] *= 2 * self.window_size[1] - 1
-        relative_position_index = relative_coords.sum(-1)  # Wh*Ww, Wh*Ww
-        self.register_buffer("relative_position_index", relative_position_index)
-
-        self.qkv = nn.Linear(dim, dim * 3, bias=qkv_bias)
-        self.attn_drop = nn.Dropout(attn_drop)
-        self.proj = nn.Linear(dim, dim)
-        self.proj_drop = nn.Dropout(proj_drop)
-
-        trunc_normal_(self.relative_position_bias_table, std=0.02)
-        self.softmax = nn.Softmax(dim=-1)
-
-    def forward(self, x, mask=None):
-        """Forward function.
-        Args:
-            x: input features with shape of (num_windows*B, N, C)
-            mask: (0/-inf) mask with shape of (num_windows, Wh*Ww, Wh*Ww) or None
-        """
-        B_, N, C = x.shape
-        qkv = (
-            self.qkv(x)
-            .reshape(B_, N, 3, self.num_heads, C // self.num_heads)
-            .permute(2, 0, 3, 1, 4)
-        )
-        q, k, v = qkv[0], qkv[1], qkv[2]  # make torchscript happy (cannot use tensor as tuple)
-
-        q = q * self.scale
-        attn = q @ k.transpose(-2, -1)
-
-        relative_position_bias = self.relative_position_bias_table[
-            self.relative_position_index.view(-1)
-        ].view(
-            self.window_size[0] * self.window_size[1], self.window_size[0] * self.window_size[1], -1
-        )  # Wh*Ww,Wh*Ww,nH
-        relative_position_bias = relative_position_bias.permute(
-            2, 0, 1
-        ).contiguous()  # nH, Wh*Ww, Wh*Ww
-        attn = attn + relative_position_bias.unsqueeze(0)
-
-        if mask is not None:
-            nW = mask.shape[0]
-            attn = attn.view(B_ // nW, nW, self.num_heads, N, N) + mask.unsqueeze(1).unsqueeze(0)
-            attn = attn.view(-1, self.num_heads, N, N)
-            attn = self.softmax(attn)
-        else:
-            attn = self.softmax(attn)
-
-        attn = self.attn_drop(attn)
-
-        x = (attn @ v).transpose(1, 2).reshape(B_, N, C)
-        x = self.proj(x)
-        x = self.proj_drop(x)
-        return x
-
-
-class SwinTransformerBlock(nn.Module):
-    """Swin Transformer Block.
-    Args:
-        dim (int): Number of input channels.
-        num_heads (int): Number of attention heads.
-        window_size (int): Window size.
-        shift_size (int): Shift size for SW-MSA.
-        mlp_ratio (float): Ratio of mlp hidden dim to embedding dim.
-        qkv_bias (bool, optional): If True, add a learnable bias to query, key, value. Default: True
-        qk_scale (float | None, optional): Override default qk scale of head_dim ** -0.5 if set.
-        drop (float, optional): Dropout rate. Default: 0.0
-        attn_drop (float, optional): Attention dropout rate. Default: 0.0
-        drop_path (float, optional): Stochastic depth rate. Default: 0.0
-        act_layer (nn.Module, optional): Activation layer. Default: nn.GELU
-        norm_layer (nn.Module, optional): Normalization layer.  Default: nn.LayerNorm
-    """
-
-    def __init__(
-        self,
-        dim,
-        num_heads,
-        window_size=7,
-        shift_size=0,
-        mlp_ratio=4.0,
-        qkv_bias=True,
-        qk_scale=None,
-        drop=0.0,
-        attn_drop=0.0,
-        drop_path=0.0,
-        act_layer=nn.GELU,
-        norm_layer=nn.LayerNorm,
-    ):
-        super().__init__()
-        self.dim = dim
-        self.num_heads = num_heads
-        self.window_size = window_size
-        self.shift_size = shift_size
-        self.mlp_ratio = mlp_ratio
-        assert 0 <= self.shift_size < self.window_size, "shift_size must in 0-window_size"
-
-        self.norm1 = norm_layer(dim)
-        self.attn = WindowAttention(
-            dim,
-            window_size=to_2tuple(self.window_size),
-            num_heads=num_heads,
-            qkv_bias=qkv_bias,
-            qk_scale=qk_scale,
-            attn_drop=attn_drop,
-            proj_drop=drop,
-        )
-
-        self.drop_path = DropPath(drop_path) if drop_path > 0.0 else nn.Identity()
-        self.norm2 = norm_layer(dim)
-        mlp_hidden_dim = int(dim * mlp_ratio)
-        self.mlp = Mlp(
-            in_features=dim, hidden_features=mlp_hidden_dim, act_layer=act_layer, drop=drop
-        )
-
-        self.H = None
-        self.W = None
-
-    def forward(self, x, mask_matrix):
-        """Forward function.
-        Args:
-            x: Input feature, tensor size (B, H*W, C).
-            H, W: Spatial resolution of the input feature.
-            mask_matrix: Attention mask for cyclic shift.
-        """
-        B, L, C = x.shape
-        H, W = self.H, self.W
-        assert L == H * W, "input feature has wrong size"
-
-        shortcut = x
-        x = self.norm1(x)
-        x = x.view(B, H, W, C)
-
-        # pad feature maps to multiples of window size
-        pad_l = pad_t = 0
-        pad_r = (self.window_size - W % self.window_size) % self.window_size
-        pad_b = (self.window_size - H % self.window_size) % self.window_size
-        x = F.pad(x, (0, 0, pad_l, pad_r, pad_t, pad_b))
-        _, Hp, Wp, _ = x.shape
-
-        # cyclic shift
-        if self.shift_size > 0:
-            shifted_x = torch.roll(x, shifts=(-self.shift_size, -self.shift_size), dims=(1, 2))
-            attn_mask = mask_matrix
-        else:
-            shifted_x = x
-            attn_mask = None
-
-        # partition windows
-        x_windows = window_partition(
-            shifted_x, self.window_size
-        )  # nW*B, window_size, window_size, C
-        x_windows = x_windows.view(
-            -1, self.window_size * self.window_size, C
-        )  # nW*B, window_size*window_size, C
-
-        # W-MSA/SW-MSA
-        attn_windows = self.attn(x_windows, mask=attn_mask)  # nW*B, window_size*window_size, C
-
-        # merge windows
-        attn_windows = attn_windows.view(-1, self.window_size, self.window_size, C)
-        shifted_x = window_reverse(attn_windows, self.window_size, Hp, Wp)  # B H' W' C
-
-        # reverse cyclic shift
-        if self.shift_size > 0:
-            x = torch.roll(shifted_x, shifts=(self.shift_size, self.shift_size), dims=(1, 2))
-        else:
-            x = shifted_x
-
-        if pad_r > 0 or pad_b > 0:
-            x = x[:, :H, :W, :].contiguous()
-
-        x = x.view(B, H * W, C)
-
-        # FFN
-        x = shortcut + self.drop_path(x)
-        x = x + self.drop_path(self.mlp(self.norm2(x)))
-
-        return x
-
-
-class PatchMerging(nn.Module):
-    """Patch Merging Layer
-    Args:
-        dim (int): Number of input channels.
-        norm_layer (nn.Module, optional): Normalization layer.  Default: nn.LayerNorm
-    """
-
-    def __init__(self, dim, norm_layer=nn.LayerNorm):
-        super().__init__()
-        self.dim = dim
-        self.reduction = nn.Linear(4 * dim, 2 * dim, bias=False)
-        self.norm = norm_layer(4 * dim)
-
-    def forward(self, x, H, W):
-        """Forward function.
-        Args:
-            x: Input feature, tensor size (B, H*W, C).
-            H, W: Spatial resolution of the input feature.
-        """
-        B, L, C = x.shape
-        assert L == H * W, "input feature has wrong size"
-
-        x = x.view(B, H, W, C)
-
-        # padding
-        pad_input = (H % 2 == 1) or (W % 2 == 1)
-        if pad_input:
-            x = F.pad(x, (0, 0, 0, W % 2, 0, H % 2))
-
-        x0 = x[:, 0::2, 0::2, :]  # B H/2 W/2 C
-        x1 = x[:, 1::2, 0::2, :]  # B H/2 W/2 C
-        x2 = x[:, 0::2, 1::2, :]  # B H/2 W/2 C
-        x3 = x[:, 1::2, 1::2, :]  # B H/2 W/2 C
-        x = torch.cat([x0, x1, x2, x3], -1)  # B H/2 W/2 4*C
-        x = x.view(B, -1, 4 * C)  # B H/2*W/2 4*C
-
-        x = self.norm(x)
-        x = self.reduction(x)
-
-        return x
-
-
-class BasicLayer(nn.Module):
-    """A basic Swin Transformer layer for one stage.
-    Args:
-        dim (int): Number of feature channels
-        depth (int): Depths of this stage.
-        num_heads (int): Number of attention head.
-        window_size (int): Local window size. Default: 7.
-        mlp_ratio (float): Ratio of mlp hidden dim to embedding dim. Default: 4.
-        qkv_bias (bool, optional): If True, add a learnable bias to query, key, value. Default: True
-        qk_scale (float | None, optional): Override default qk scale of head_dim ** -0.5 if set.
-        drop (float, optional): Dropout rate. Default: 0.0
-        attn_drop (float, optional): Attention dropout rate. Default: 0.0
-        drop_path (float | tuple[float], optional): Stochastic depth rate. Default: 0.0
-        norm_layer (nn.Module, optional): Normalization layer. Default: nn.LayerNorm
-        downsample (nn.Module | None, optional): Downsample layer at the end of the layer. Default: None
-        use_checkpoint (bool): Whether to use checkpointing to save memory. Default: False.
-    """
-
-    def __init__(
-        self,
-        dim,
-        depth,
-        num_heads,
-        window_size=7,
-        mlp_ratio=4.0,
-        qkv_bias=True,
-        qk_scale=None,
-        drop=0.0,
-        attn_drop=0.0,
-        drop_path=0.0,
-        norm_layer=nn.LayerNorm,
-        downsample=None,
-        use_checkpoint=False,
-    ):
-        super().__init__()
-        self.window_size = window_size
-        self.shift_size = window_size // 2
-        self.depth = depth
-        self.use_checkpoint = use_checkpoint
-
-        # build blocks
-        self.blocks = nn.ModuleList(
-            [
-                SwinTransformerBlock(
-                    dim=dim,
-                    num_heads=num_heads,
-                    window_size=window_size,
-                    shift_size=0 if (i % 2 == 0) else window_size // 2,
-                    mlp_ratio=mlp_ratio,
-                    qkv_bias=qkv_bias,
-                    qk_scale=qk_scale,
-                    drop=drop,
-                    attn_drop=attn_drop,
-                    drop_path=drop_path[i] if isinstance(drop_path, list) else drop_path,
-                    norm_layer=norm_layer,
-                )
-                for i in range(depth)
-            ]
-        )
-
-        # patch merging layer
-        if downsample is not None:
-            self.downsample = downsample(dim=dim, norm_layer=norm_layer)
-        else:
-            self.downsample = None
-
-    def forward(self, x, H, W):
-        """Forward function.
-        Args:
-            x: Input feature, tensor size (B, H*W, C).
-            H, W: Spatial resolution of the input feature.
-        """
-
-        # calculate attention mask for SW-MSA
-        Hp = int(np.ceil(H / self.window_size)) * self.window_size
-        Wp = int(np.ceil(W / self.window_size)) * self.window_size
-        img_mask = torch.zeros((1, Hp, Wp, 1), device=x.device)  # 1 Hp Wp 1
-        h_slices = (
-            slice(0, -self.window_size),
-            slice(-self.window_size, -self.shift_size),
-            slice(-self.shift_size, None),
-        )
-        w_slices = (
-            slice(0, -self.window_size),
-            slice(-self.window_size, -self.shift_size),
-            slice(-self.shift_size, None),
-        )
-        cnt = 0
-        for h in h_slices:
-            for w in w_slices:
-                img_mask[:, h, w, :] = cnt
-                cnt += 1
-
-        mask_windows = window_partition(
-            img_mask, self.window_size
-        )  # nW, window_size, window_size, 1
-        mask_windows = mask_windows.view(-1, self.window_size * self.window_size)
-        attn_mask = mask_windows.unsqueeze(1) - mask_windows.unsqueeze(2)
-        attn_mask = attn_mask.masked_fill(attn_mask != 0, float(-100.0)).masked_fill(
-            attn_mask == 0, float(0.0)
-        )
-
-        for blk in self.blocks:
-            blk.H, blk.W = H, W
-            if self.use_checkpoint:
-                x = checkpoint.checkpoint(blk, x, attn_mask)
-            else:
-                x = blk(x, attn_mask)
-        if self.downsample is not None:
-            x_down = self.downsample(x, H, W)
-            Wh, Ww = (H + 1) // 2, (W + 1) // 2
-            return x, H, W, x_down, Wh, Ww
-        else:
-            return x, H, W, x, H, W
-
-
-class PatchEmbed(nn.Module):
-    """Image to Patch Embedding
-    Args:
-        patch_size (int): Patch token size. Default: 4.
-        in_chans (int): Number of input image channels. Default: 3.
-        embed_dim (int): Number of linear projection output channels. Default: 96.
-        norm_layer (nn.Module, optional): Normalization layer. Default: None
-    """
-
-    def __init__(self, patch_size=4, in_chans=3, embed_dim=96, norm_layer=None):
-        super().__init__()
-        patch_size = to_2tuple(patch_size)
-        self.patch_size = patch_size
-
-        self.in_chans = in_chans
-        self.embed_dim = embed_dim
-
-        self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size)
-        if norm_layer is not None:
-            self.norm = norm_layer(embed_dim)
-        else:
-            self.norm = None
-
-    def forward(self, x):
-        """Forward function."""
-        # padding
-        _, _, H, W = x.size()
-        if W % self.patch_size[1] != 0:
-            x = F.pad(x, (0, self.patch_size[1] - W % self.patch_size[1]))
-        if H % self.patch_size[0] != 0:
-            x = F.pad(x, (0, 0, 0, self.patch_size[0] - H % self.patch_size[0]))
-
-        x = self.proj(x)  # B C Wh Ww
-        if self.norm is not None:
-            Wh, Ww = x.size(2), x.size(3)
-            x = x.flatten(2).transpose(1, 2)
-            x = self.norm(x)
-            x = x.transpose(1, 2).view(-1, self.embed_dim, Wh, Ww)
-
-        return x
-
-
-class SwinTransformer(nn.Module):
-    """Swin Transformer backbone.
-        A PyTorch impl of : `Swin Transformer: Hierarchical Vision Transformer using Shifted Windows`  -
-          https://arxiv.org/pdf/2103.14030
-    Args:
-        pretrain_img_size (int): Input image size for training the pretrained model,
-            used in absolute postion embedding. Default 224.
-        patch_size (int | tuple(int)): Patch size. Default: 4.
-        in_chans (int): Number of input image channels. Default: 3.
-        embed_dim (int): Number of linear projection output channels. Default: 96.
-        depths (tuple[int]): Depths of each Swin Transformer stage.
-        num_heads (tuple[int]): Number of attention head of each stage.
-        window_size (int): Window size. Default: 7.
-        mlp_ratio (float): Ratio of mlp hidden dim to embedding dim. Default: 4.
-        qkv_bias (bool): If True, add a learnable bias to query, key, value. Default: True
-        qk_scale (float): Override default qk scale of head_dim ** -0.5 if set.
-        drop_rate (float): Dropout rate.
-        attn_drop_rate (float): Attention dropout rate. Default: 0.
-        drop_path_rate (float): Stochastic depth rate. Default: 0.2.
-        norm_layer (nn.Module): Normalization layer. Default: nn.LayerNorm.
-        ape (bool): If True, add absolute position embedding to the patch embedding. Default: False.
-        patch_norm (bool): If True, add normalization after patch embedding. Default: True.
-        out_indices (Sequence[int]): Output from which stages.
-        frozen_stages (int): Stages to be frozen (stop grad and set eval mode).
-            -1 means not freezing any parameters.
-        use_checkpoint (bool): Whether to use checkpointing to save memory. Default: False.
-        dilation (bool): if True, the output size if 16x downsample, ow 32x downsample.
-    """
-
-    def __init__(
-        self,
-        pretrain_img_size=224,
-        patch_size=4,
-        in_chans=3,
-        embed_dim=96,
-        depths=[2, 2, 6, 2],
-        num_heads=[3, 6, 12, 24],
-        window_size=7,
-        mlp_ratio=4.0,
-        qkv_bias=True,
-        qk_scale=None,
-        drop_rate=0.0,
-        attn_drop_rate=0.0,
-        drop_path_rate=0.2,
-        norm_layer=nn.LayerNorm,
-        ape=False,
-        patch_norm=True,
-        out_indices=(0, 1, 2, 3),
-        frozen_stages=-1,
-        dilation=False,
-        use_checkpoint=False,
-    ):
-        super().__init__()
-
-        self.pretrain_img_size = pretrain_img_size
-        self.num_layers = len(depths)
-        self.embed_dim = embed_dim
-        self.ape = ape
-        self.patch_norm = patch_norm
-        self.out_indices = out_indices
-        self.frozen_stages = frozen_stages
-        self.dilation = dilation
-
-        # if use_checkpoint:
-        #     print("use_checkpoint!!!!!!!!!!!!!!!!!!!!!!!!")
-
-        # split image into non-overlapping patches
-        self.patch_embed = PatchEmbed(
-            patch_size=patch_size,
-            in_chans=in_chans,
-            embed_dim=embed_dim,
-            norm_layer=norm_layer if self.patch_norm else None,
-        )
-
-        # absolute position embedding
-        if self.ape:
-            pretrain_img_size = to_2tuple(pretrain_img_size)
-            patch_size = to_2tuple(patch_size)
-            patches_resolution = [
-                pretrain_img_size[0] // patch_size[0],
-                pretrain_img_size[1] // patch_size[1],
-            ]
-
-            self.absolute_pos_embed = nn.Parameter(
-                torch.zeros(1, embed_dim, patches_resolution[0], patches_resolution[1])
-            )
-            trunc_normal_(self.absolute_pos_embed, std=0.02)
-
-        self.pos_drop = nn.Dropout(p=drop_rate)
-
-        # stochastic depth
-        dpr = [
-            x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))
-        ]  # stochastic depth decay rule
-
-        # build layers
-        self.layers = nn.ModuleList()
-        # prepare downsample list
-        downsamplelist = [PatchMerging for i in range(self.num_layers)]
-        downsamplelist[-1] = None
-        num_features = [int(embed_dim * 2**i) for i in range(self.num_layers)]
-        if self.dilation:
-            downsamplelist[-2] = None
-            num_features[-1] = int(embed_dim * 2 ** (self.num_layers - 1)) // 2
-        for i_layer in range(self.num_layers):
-            layer = BasicLayer(
-                # dim=int(embed_dim * 2 ** i_layer),
-                dim=num_features[i_layer],
-                depth=depths[i_layer],
-                num_heads=num_heads[i_layer],
-                window_size=window_size,
-                mlp_ratio=mlp_ratio,
-                qkv_bias=qkv_bias,
-                qk_scale=qk_scale,
-                drop=drop_rate,
-                attn_drop=attn_drop_rate,
-                drop_path=dpr[sum(depths[:i_layer]) : sum(depths[: i_layer + 1])],
-                norm_layer=norm_layer,
-                # downsample=PatchMerging if (i_layer < self.num_layers - 1) else None,
-                downsample=downsamplelist[i_layer],
-                use_checkpoint=use_checkpoint,
-            )
-            self.layers.append(layer)
-
-        # num_features = [int(embed_dim * 2 ** i) for i in range(self.num_layers)]
-        self.num_features = num_features
-
-        # add a norm layer for each output
-        for i_layer in out_indices:
-            layer = norm_layer(num_features[i_layer])
-            layer_name = f"norm{i_layer}"
-            self.add_module(layer_name, layer)
-
-        self._freeze_stages()
-
-    def _freeze_stages(self):
-        if self.frozen_stages >= 0:
-            self.patch_embed.eval()
-            for param in self.patch_embed.parameters():
-                param.requires_grad = False
-
-        if self.frozen_stages >= 1 and self.ape:
-            self.absolute_pos_embed.requires_grad = False
-
-        if self.frozen_stages >= 2:
-            self.pos_drop.eval()
-            for i in range(0, self.frozen_stages - 1):
-                m = self.layers[i]
-                m.eval()
-                for param in m.parameters():
-                    param.requires_grad = False
-
-    # def init_weights(self, pretrained=None):
-    #     """Initialize the weights in backbone.
-    #     Args:
-    #         pretrained (str, optional): Path to pre-trained weights.
-    #             Defaults to None.
-    #     """
-
-    #     def _init_weights(m):
-    #         if isinstance(m, nn.Linear):
-    #             trunc_normal_(m.weight, std=.02)
-    #             if isinstance(m, nn.Linear) and m.bias is not None:
-    #                 nn.init.constant_(m.bias, 0)
-    #         elif isinstance(m, nn.LayerNorm):
-    #             nn.init.constant_(m.bias, 0)
-    #             nn.init.constant_(m.weight, 1.0)
-
-    #     if isinstance(pretrained, str):
-    #         self.apply(_init_weights)
-    #         logger = get_root_logger()
-    #         load_checkpoint(self, pretrained, strict=False, logger=logger)
-    #     elif pretrained is None:
-    #         self.apply(_init_weights)
-    #     else:
-    #         raise TypeError('pretrained must be a str or None')
-
-    def forward_raw(self, x):
-        """Forward function."""
-        x = self.patch_embed(x)
-
-        Wh, Ww = x.size(2), x.size(3)
-        if self.ape:
-            # interpolate the position embedding to the corresponding size
-            absolute_pos_embed = F.interpolate(
-                self.absolute_pos_embed, size=(Wh, Ww), mode="bicubic"
-            )
-            x = (x + absolute_pos_embed).flatten(2).transpose(1, 2)  # B Wh*Ww C
-        else:
-            x = x.flatten(2).transpose(1, 2)
-        x = self.pos_drop(x)
-
-        outs = []
-        for i in range(self.num_layers):
-            layer = self.layers[i]
-            x_out, H, W, x, Wh, Ww = layer(x, Wh, Ww)
-            # import ipdb; ipdb.set_trace()
-
-            if i in self.out_indices:
-                norm_layer = getattr(self, f"norm{i}")
-                x_out = norm_layer(x_out)
-
-                out = x_out.view(-1, H, W, self.num_features[i]).permute(0, 3, 1, 2).contiguous()
-                outs.append(out)
-        # in:
-        #   torch.Size([2, 3, 1024, 1024])
-        # outs:
-        #   [torch.Size([2, 192, 256, 256]), torch.Size([2, 384, 128, 128]), \
-        #       torch.Size([2, 768, 64, 64]), torch.Size([2, 1536, 32, 32])]
-        return tuple(outs)
-
-    def forward(self, tensor_list: NestedTensor):
-        x = tensor_list.tensors
-
-        """Forward function."""
-        x = self.patch_embed(x)
-
-        Wh, Ww = x.size(2), x.size(3)
-        if self.ape:
-            # interpolate the position embedding to the corresponding size
-            absolute_pos_embed = F.interpolate(
-                self.absolute_pos_embed, size=(Wh, Ww), mode="bicubic"
-            )
-            x = (x + absolute_pos_embed).flatten(2).transpose(1, 2)  # B Wh*Ww C
-        else:
-            x = x.flatten(2).transpose(1, 2)
-        x = self.pos_drop(x)
-
-        outs = []
-        for i in range(self.num_layers):
-            layer = self.layers[i]
-            x_out, H, W, x, Wh, Ww = layer(x, Wh, Ww)
-
-            if i in self.out_indices:
-                norm_layer = getattr(self, f"norm{i}")
-                x_out = norm_layer(x_out)
-
-                out = x_out.view(-1, H, W, self.num_features[i]).permute(0, 3, 1, 2).contiguous()
-                outs.append(out)
-        # in:
-        #   torch.Size([2, 3, 1024, 1024])
-        # out:
-        #   [torch.Size([2, 192, 256, 256]), torch.Size([2, 384, 128, 128]), \
-        #       torch.Size([2, 768, 64, 64]), torch.Size([2, 1536, 32, 32])]
-
-        # collect for nesttensors
-        outs_dict = {}
-        for idx, out_i in enumerate(outs):
-            m = tensor_list.mask
-            assert m is not None
-            mask = F.interpolate(m[None].float(), size=out_i.shape[-2:]).to(torch.bool)[0]
-            outs_dict[idx] = NestedTensor(out_i, mask)
-
-        return outs_dict
-
-    def train(self, mode=True):
-        """Convert the model into training mode while keep layers freezed."""
-        super(SwinTransformer, self).train(mode)
-        self._freeze_stages()
-
-
-def build_swin_transformer(modelname, pretrain_img_size, **kw):
-    assert modelname in [
-        "swin_T_224_1k",
-        "swin_B_224_22k",
-        "swin_B_384_22k",
-        "swin_L_224_22k",
-        "swin_L_384_22k",
-    ]
-
-    model_para_dict = {
-        "swin_T_224_1k": dict(
-            embed_dim=96, depths=[2, 2, 6, 2], num_heads=[3, 6, 12, 24], window_size=7
-        ),
-        "swin_B_224_22k": dict(
-            embed_dim=128, depths=[2, 2, 18, 2], num_heads=[4, 8, 16, 32], window_size=7
-        ),
-        "swin_B_384_22k": dict(
-            embed_dim=128, depths=[2, 2, 18, 2], num_heads=[4, 8, 16, 32], window_size=12
-        ),
-        "swin_L_224_22k": dict(
-            embed_dim=192, depths=[2, 2, 18, 2], num_heads=[6, 12, 24, 48], window_size=7
-        ),
-        "swin_L_384_22k": dict(
-            embed_dim=192, depths=[2, 2, 18, 2], num_heads=[6, 12, 24, 48], window_size=12
-        ),
-    }
-    kw_cgf = model_para_dict[modelname]
-    kw_cgf.update(kw)
-    model = SwinTransformer(pretrain_img_size=pretrain_img_size, **kw_cgf)
-    return model
-
-
-if __name__ == "__main__":
-    model = build_swin_transformer("swin_L_384_22k", 384, dilation=True)
-    x = torch.rand(2, 3, 1024, 1024)
-    y = model.forward_raw(x)
-    import ipdb
-
-    ipdb.set_trace()
-    x = torch.rand(2, 3, 384, 384)
-    y = model.forward_raw(x)
diff --git a/spaces/scedlatioru/img-to-music/example/Gapps Hypptv Zip [REPACK].md b/spaces/scedlatioru/img-to-music/example/Gapps Hypptv Zip [REPACK].md
deleted file mode 100644
index 3a679860f315380a712a0591a1e29f4d3726a8e3..0000000000000000000000000000000000000000
--- a/spaces/scedlatioru/img-to-music/example/Gapps Hypptv Zip [REPACK].md	
+++ /dev/null
@@ -1,6 +0,0 @@
-<h2>Gapps Hypptv Zip</h2><br /><p><b><b>DOWNLOAD</b> &#10022;&#10022;&#10022; <a href="https://gohhs.com/2uEAa3">https://gohhs.com/2uEAa3</a></b></p><br /><br />
-
-Gapps Hypptv Zip ->->->-> https://picfs.com/1lno61. Signature verification failed when trying to install non-official Cyanogenmod 10 ROM for . a ... 4d29de3e1b<br />
-<br />
-<br />
-<p></p>
diff --git a/spaces/sczhou/CodeFormer/CodeFormer/facelib/parsing/resnet.py b/spaces/sczhou/CodeFormer/CodeFormer/facelib/parsing/resnet.py
deleted file mode 100644
index fec8e82cf64469fb51be21ad5130217052addbda..0000000000000000000000000000000000000000
--- a/spaces/sczhou/CodeFormer/CodeFormer/facelib/parsing/resnet.py
+++ /dev/null
@@ -1,69 +0,0 @@
-import torch.nn as nn
-import torch.nn.functional as F
-
-
-def conv3x3(in_planes, out_planes, stride=1):
-    """3x3 convolution with padding"""
-    return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride, padding=1, bias=False)
-
-
-class BasicBlock(nn.Module):
-
-    def __init__(self, in_chan, out_chan, stride=1):
-        super(BasicBlock, self).__init__()
-        self.conv1 = conv3x3(in_chan, out_chan, stride)
-        self.bn1 = nn.BatchNorm2d(out_chan)
-        self.conv2 = conv3x3(out_chan, out_chan)
-        self.bn2 = nn.BatchNorm2d(out_chan)
-        self.relu = nn.ReLU(inplace=True)
-        self.downsample = None
-        if in_chan != out_chan or stride != 1:
-            self.downsample = nn.Sequential(
-                nn.Conv2d(in_chan, out_chan, kernel_size=1, stride=stride, bias=False),
-                nn.BatchNorm2d(out_chan),
-            )
-
-    def forward(self, x):
-        residual = self.conv1(x)
-        residual = F.relu(self.bn1(residual))
-        residual = self.conv2(residual)
-        residual = self.bn2(residual)
-
-        shortcut = x
-        if self.downsample is not None:
-            shortcut = self.downsample(x)
-
-        out = shortcut + residual
-        out = self.relu(out)
-        return out
-
-
-def create_layer_basic(in_chan, out_chan, bnum, stride=1):
-    layers = [BasicBlock(in_chan, out_chan, stride=stride)]
-    for i in range(bnum - 1):
-        layers.append(BasicBlock(out_chan, out_chan, stride=1))
-    return nn.Sequential(*layers)
-
-
-class ResNet18(nn.Module):
-
-    def __init__(self):
-        super(ResNet18, self).__init__()
-        self.conv1 = nn.Conv2d(3, 64, kernel_size=7, stride=2, padding=3, bias=False)
-        self.bn1 = nn.BatchNorm2d(64)
-        self.maxpool = nn.MaxPool2d(kernel_size=3, stride=2, padding=1)
-        self.layer1 = create_layer_basic(64, 64, bnum=2, stride=1)
-        self.layer2 = create_layer_basic(64, 128, bnum=2, stride=2)
-        self.layer3 = create_layer_basic(128, 256, bnum=2, stride=2)
-        self.layer4 = create_layer_basic(256, 512, bnum=2, stride=2)
-
-    def forward(self, x):
-        x = self.conv1(x)
-        x = F.relu(self.bn1(x))
-        x = self.maxpool(x)
-
-        x = self.layer1(x)
-        feat8 = self.layer2(x)  # 1/8
-        feat16 = self.layer3(feat8)  # 1/16
-        feat32 = self.layer4(feat16)  # 1/32
-        return feat8, feat16, feat32
diff --git a/spaces/sdhsdhk/bingosjj/src/components/chat-image.tsx b/spaces/sdhsdhk/bingosjj/src/components/chat-image.tsx
deleted file mode 100644
index 05ecc9771eada27a0f2d160bb01cba170d37bb09..0000000000000000000000000000000000000000
--- a/spaces/sdhsdhk/bingosjj/src/components/chat-image.tsx
+++ /dev/null
@@ -1,170 +0,0 @@
-import {
-  useEffect,
-  useState,
-  useCallback,
-  ChangeEvent,
-  ClipboardEvent,
-  MouseEventHandler,
-  FormEvent,
-  useRef
-} from "react"
-import Image from 'next/image'
-import PasteIcon from '@/assets/images/paste.svg'
-import UploadIcon from '@/assets/images/upload.svg'
-import CameraIcon from '@/assets/images/camera.svg'
-import { useBing } from '@/lib/hooks/use-bing'
-import { cn } from '@/lib/utils'
-
-interface ChatImageProps extends Pick<ReturnType<typeof useBing>, 'uploadImage'> {}
-
-const preventDefault: MouseEventHandler<HTMLDivElement> = (event) => {
-  event.nativeEvent.stopImmediatePropagation()
-}
-
-const toBase64 = (file: File): Promise<string> => new Promise((resolve, reject) => {
-  const reader = new FileReader()
-  reader.readAsDataURL(file)
-  reader.onload = () => resolve(reader.result as string)
-  reader.onerror = reject
-})
-
-export function ChatImage({ children, uploadImage }: React.PropsWithChildren<ChatImageProps>) {
-  const videoRef = useRef<HTMLVideoElement>(null)
-  const canvasRef = useRef<HTMLCanvasElement>(null)
-  const mediaStream = useRef<MediaStream>()
-  const [panel, setPanel] = useState('none')
-
-  const upload = useCallback((url: string) => {
-    if (url) {
-      uploadImage(url)
-    }
-    setPanel('none')
-  }, [panel])
-
-  const onUpload = useCallback(async (event: ChangeEvent<HTMLInputElement>) => {
-    const file = event.target.files?.[0]
-    if (file) {
-      const fileDataUrl = await toBase64(file)
-      if (fileDataUrl) {
-        upload(fileDataUrl)
-      }
-    }
-  }, [])
-
-  const onPaste = useCallback((event: ClipboardEvent<HTMLInputElement>) => {
-    const pasteUrl = event.clipboardData.getData('text') ?? ''
-    upload(pasteUrl)
-  }, [])
-
-  const onEnter = useCallback((event: FormEvent<HTMLFormElement>) => {
-    event.preventDefault()
-    event.stopPropagation()
-    // @ts-ignore
-    const inputUrl = event.target.elements.image.value
-    if (inputUrl) {
-      upload(inputUrl)
-    }
-  }, [])
-
-  const openVideo: MouseEventHandler<HTMLButtonElement> = async (event) => {
-    event.stopPropagation()
-    setPanel('camera-mode')
-  }
-
-  const onCapture = () => {
-    if (canvasRef.current && videoRef.current) {
-      const canvas = canvasRef.current
-      canvas.width = videoRef.current!.videoWidth
-      canvas.height = videoRef.current!.videoHeight
-      canvas.getContext('2d')?.drawImage(videoRef.current, 0, 0, canvas.width, canvas.height)
-      const cameraUrl = canvas.toDataURL('image/jpeg')
-      upload(cameraUrl)
-    }
-  }
-
-  useEffect(() => {
-    const handleBlur = () => {
-      if (panel !== 'none') {
-        setPanel('none')
-      }
-    }
-    document.addEventListener('click', handleBlur)
-    return () => {
-      document.removeEventListener('click', handleBlur)
-    }
-  }, [panel])
-
-  useEffect(() => {
-    if (panel === 'camera-mode') {
-      navigator.mediaDevices.getUserMedia({ video: true, audio: false })
-      .then(videoStream => {
-        mediaStream.current = videoStream
-        if (videoRef.current) {
-          videoRef.current.srcObject = videoStream
-        }
-      })
-    } else {
-      if (mediaStream.current) {
-        mediaStream.current.getTracks().forEach(function(track) {
-          track.stop()
-        })
-        mediaStream.current = undefined
-      }
-    }
-  }, [panel])
-
-  return (
-    <div className="visual-search-container">
-      <div onClick={() => panel === 'none' ? setPanel('normal') : setPanel('none')}>{children}</div>
-      <div className={cn('visual-search', panel)} onClick={preventDefault}>
-        <div className="normal-content">
-          <div className="header">
-            <h4>添加图像</h4>
-          </div>
-          <div className="paste">
-            <Image alt="paste" src={PasteIcon} width={24} />
-            <form onSubmitCapture={onEnter}>
-              <input
-                className="paste-input"
-                id="sb_imgpst"
-                type="text"
-                name="image"
-                placeholder="粘贴图像 URL"
-                aria-label="粘贴图像 URL"
-                onPaste={onPaste}
-                onClickCapture={(e) => e.stopPropagation()}
-              />
-            </form>
-          </div>
-          <div className="buttons">
-            <button type="button" aria-label="从此设备上传">
-              <input
-                id="vs_fileinput"
-                className="fileinput"
-                type="file"
-                accept="image/gif, image/jpeg, image/png, image/webp"
-                onChange={onUpload}
-              />
-              <Image alt="uplaod" src={UploadIcon} width={20} />
-              从此设备上传
-            </button>
-            <button type="button" aria-label="拍照" onClick={openVideo}>
-              <Image alt="camera" src={CameraIcon} width={20} />
-              拍照
-            </button>
-          </div>
-        </div>
-        {panel === 'camera-mode' && <div className="cam-content">
-          <div className="webvideo-container">
-            <video className="webvideo" autoPlay muted playsInline ref={videoRef} />
-            <canvas className="webcanvas" ref={canvasRef} />
-          </div>
-          <div className="cambtn" role="button" aria-label="拍照" onClick={onCapture}>
-            <div className="cam-btn-circle-large"></div>
-            <div className="cam-btn-circle-small"></div>
-          </div>
-        </div>}
-      </div>
-    </div>
-  )
-}
diff --git a/spaces/seanbenhur/tamilatis/README.md b/spaces/seanbenhur/tamilatis/README.md
deleted file mode 100644
index ee7e5852db94f4577bc935bffa91d2f88b5651a4..0000000000000000000000000000000000000000
--- a/spaces/seanbenhur/tamilatis/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Tamilatis
-emoji: 🐢
-colorFrom: yellow
-colorTo: blue
-sdk: gradio
-sdk_version: 3.0.20
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/segments-tobias/conex/espnet2/diar/decoder/linear_decoder.py b/spaces/segments-tobias/conex/espnet2/diar/decoder/linear_decoder.py
deleted file mode 100644
index 61a3dea0aa73921f99dccdf83fd6a35f6d5a1585..0000000000000000000000000000000000000000
--- a/spaces/segments-tobias/conex/espnet2/diar/decoder/linear_decoder.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import torch
-
-from espnet2.diar.decoder.abs_decoder import AbsDecoder
-
-
-class LinearDecoder(AbsDecoder):
-    """Linear decoder for speaker diarization """
-
-    def __init__(
-        self,
-        encoder_output_size: int,
-        num_spk: int = 2,
-    ):
-        super().__init__()
-        self._num_spk = num_spk
-        self.linear_decoder = torch.nn.Linear(encoder_output_size, num_spk)
-
-    def forward(self, input: torch.Tensor, ilens: torch.Tensor):
-        """Forward.
-
-        Args:
-            input (torch.Tensor): hidden_space [Batch, T, F]
-            ilens (torch.Tensor): input lengths [Batch]
-        """
-
-        output = self.linear_decoder(input)
-
-        return output
-
-    @property
-    def num_spk(self):
-        return self._num_spk
diff --git a/spaces/shi-labs/Versatile-Diffusion/lib/model_zoo/distributions.py b/spaces/shi-labs/Versatile-Diffusion/lib/model_zoo/distributions.py
deleted file mode 100644
index f2b8ef901130efc171aa69742ca0244d94d3f2e9..0000000000000000000000000000000000000000
--- a/spaces/shi-labs/Versatile-Diffusion/lib/model_zoo/distributions.py
+++ /dev/null
@@ -1,92 +0,0 @@
-import torch
-import numpy as np
-
-
-class AbstractDistribution:
-    def sample(self):
-        raise NotImplementedError()
-
-    def mode(self):
-        raise NotImplementedError()
-
-
-class DiracDistribution(AbstractDistribution):
-    def __init__(self, value):
-        self.value = value
-
-    def sample(self):
-        return self.value
-
-    def mode(self):
-        return self.value
-
-
-class DiagonalGaussianDistribution(object):
-    def __init__(self, parameters, deterministic=False):
-        self.parameters = parameters
-        self.mean, self.logvar = torch.chunk(parameters, 2, dim=1)
-        self.logvar = torch.clamp(self.logvar, -30.0, 20.0)
-        self.deterministic = deterministic
-        self.std = torch.exp(0.5 * self.logvar)
-        self.var = torch.exp(self.logvar)
-        if self.deterministic:
-            self.var = self.std = torch.zeros_like(self.mean).to(device=self.parameters.device)
-
-    def sample(self):
-        x = self.mean + self.std * torch.randn(self.mean.shape).to(device=self.parameters.device)
-        return x
-
-    def kl(self, other=None):
-        if self.deterministic:
-            return torch.Tensor([0.])
-        else:
-            if other is None:
-                return 0.5 * torch.sum(torch.pow(self.mean, 2)
-                                       + self.var - 1.0 - self.logvar,
-                                       dim=[1, 2, 3])
-            else:
-                return 0.5 * torch.sum(
-                    torch.pow(self.mean - other.mean, 2) / other.var
-                    + self.var / other.var - 1.0 - self.logvar + other.logvar,
-                    dim=[1, 2, 3])
-
-    def nll(self, sample, dims=[1,2,3]):
-        if self.deterministic:
-            return torch.Tensor([0.])
-        logtwopi = np.log(2.0 * np.pi)
-        return 0.5 * torch.sum(
-            logtwopi + self.logvar + torch.pow(sample - self.mean, 2) / self.var,
-            dim=dims)
-
-    def mode(self):
-        return self.mean
-
-
-def normal_kl(mean1, logvar1, mean2, logvar2):
-    """
-    source: https://github.com/openai/guided-diffusion/blob/27c20a8fab9cb472df5d6bdd6c8d11c8f430b924/guided_diffusion/losses.py#L12
-    Compute the KL divergence between two gaussians.
-    Shapes are automatically broadcasted, so batches can be compared to
-    scalars, among other use cases.
-    """
-    tensor = None
-    for obj in (mean1, logvar1, mean2, logvar2):
-        if isinstance(obj, torch.Tensor):
-            tensor = obj
-            break
-    assert tensor is not None, "at least one argument must be a Tensor"
-
-    # Force variances to be Tensors. Broadcasting helps convert scalars to
-    # Tensors, but it does not work for torch.exp().
-    logvar1, logvar2 = [
-        x if isinstance(x, torch.Tensor) else torch.tensor(x).to(tensor)
-        for x in (logvar1, logvar2)
-    ]
-
-    return 0.5 * (
-        -1.0
-        + logvar2
-        - logvar1
-        + torch.exp(logvar1 - logvar2)
-        + ((mean1 - mean2) ** 2) * torch.exp(-logvar2)
-    )
diff --git a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/1945 Air Force Mod Apk Terbaru How to Download and Install the Latest Version with Unlimited Money.md b/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/1945 Air Force Mod Apk Terbaru How to Download and Install the Latest Version with Unlimited Money.md
deleted file mode 100644
index 3ffe14e3659a59c41673df2f8a2aaa0560df483e..0000000000000000000000000000000000000000
--- a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/1945 Air Force Mod Apk Terbaru How to Download and Install the Latest Version with Unlimited Money.md	
+++ /dev/null
@@ -1,104 +0,0 @@
-<br />
-<h1>How to Download 1945 Air Force Mod APK Terbaru</h1>
- <p>If you are a fan of classic arcade games, you might have heard of <strong>1945 Air Force</strong>, a masterpiece remake of the original shooting game. This game features 16 famous World War II fighter jets, hundreds of missions, and stunning graphics. However, if you want to enjoy the game to its fullest potential, you might want to try the <strong>Mod APK</strong> version of it. In this article, we will explain what Mod APK is, what are the benefits of using it, how to download it, and what are the risks involved.</p>
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- <h2>Introduction</h2>
- <h3>What is 1945 Air Force?</h3>
- <p>1945 Air Force is a mobile game developed by ONESOFT, a Vietnamese studio that specializes in arcade games. The game is inspired by the classic shooting games of the 90s, such as Raiden, Aero Fighters, and Strikers 1945. The game offers a nostalgic and thrilling experience for players who love retro-style games.</p>
- <p>In 1945 Air Force, you can choose from 16 different fighter jets, each with its own characteristics and abilities. You can also upgrade your planes with various weapons and items to enhance their performance. The game has over 240 levels, each with different enemies, bosses, and challenges. You can also play with your friends in co-op mode or compete with other players in PvP mode.</p>
- <h3>What is Mod APK?</h3>
- <p>Mod APK stands for Modified Android Package Kit. It is a file format used for installing applications on Android devices. However, unlike the official APK files that you can download from the Google Play Store, Mod APK files are altered versions of the original applications that offer additional features or modifications.</p>
- <p>Mod APK files are typically created by independent developers who modify the original APK files to unlock premium features, remove ads, provide unlimited in-game resources, or even bypass certain restrictions imposed by the app developers. These modifications allow users to experience the full potential of the applications without any limitations.</p>
- <h3>What are the benefits of Mod APK?</h3>
- <p>Mod APK files offer a variety of benefits for users who want to customize their apps and games. Some of the benefits of using Mod APK files include:</p>
- <ul>
-<li><strong>Access to premium features:</strong> One of the main reasons why people use Mod APK files is to access premium features without paying for them. Many applications offer additional functionalities or content behind a paywall, but Mod APK files eliminate these restrictions, allowing users to enjoy all the premium features for free.</li>
-<li><strong>Removal of ads:</strong> Ads are a common annoyance in free applications. However, Mod APK files often remove or disable these ads, providing users with an ad-free experience. This not only enhances user satisfaction but also eliminates interruptions while using the app.</li>
-<li><strong>Unlimited resources in games:</strong> In the realm of gaming, Mod APK files offer a significant advantage by providing unlimited in-game resources. Whether it’s unlimited coins, gems, energy, or other virtual currencies, these modifications enable players to enjoy the game to its fullest without the need to grind or make in-app purchases.</li>
-<li><strong>Customization and tweaking options:</strong> Mod APK files often come with customization options that allow users to personalize the app according to their preferences. These modifications can range from changing the user interface to tweaking the app’s settings, providing a more tailored and personalized experience.</li>
-<li><strong>Offline functionality:</strong> Some Mod APK files enable offline functionality for applications that typically require an internet connection. This feature allows users to utilize certain apps even when they <h3>Step 2: Enable unknown sources</h3>
- <p>The next step is to enable unknown sources on your device. This is a security setting that prevents the installation of applications from sources other than the Google Play Store. However, since you are downloading a Mod APK file from a third-party website, you need to enable this option to allow the installation.</p>
- <p>To enable unknown sources, you need to go to your device’s settings and look for the security or privacy option. There, you will find a toggle or checkbox for unknown sources. You need to turn it on or check it to enable it. You may also see a warning message that informs you of the risks of installing apps from unknown sources. You need to accept the warning and proceed with the installation.</p>
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- <h3>Step 3: Download and install the file</h3>
- <p>The third step is to download and install the Mod APK file. To do this, you need to go to the website where you found the file and click on the download button. You may also see some pop-ups or ads that try to redirect you to other pages or ask you to download other apps. You need to ignore them and focus on the Mod APK file.</p>
- <p>Once the download is complete, you need to locate the file on your device’s storage and tap on it to start the installation. You may also see a prompt that asks you for permission to install the app. You need to grant the permission and wait for the installation to finish.</p>
- <h3>Step 4: Enjoy the game</h3>
- <p>The final step is to enjoy the game. Once the installation is done, you can open the app and start playing 1945 Air Force with all the benefits of the Mod APK version. You can access all the premium features, remove ads, get unlimited resources, and customize the game as you wish.</p>
- <h2>Risks of Mod APK</h2>
- <p>While Mod APK files offer many advantages, they also come with some risks that you need to be aware of before using them. Some of the risks of using Mod APK files include:</p>
- <h3>Malware</h3>
- <p>As mentioned earlier, not all Mod APK files are safe and secure. Some of them may contain malware, viruses, or other harmful software that can infect your device or steal your personal information. These malicious programs can cause serious damage to your device’s performance, battery life, data usage, or even compromise your privacy and security.</p>
- <p>To avoid malware, you need to be careful about where you download Mod APK files from and scan them with antivirus software before installing them. You also need to avoid clicking on suspicious links or pop-ups that may redirect you to malicious websites or downloads.</p>
- <h3>Compatibility</h3>
- <p>Another risk of using Mod APK files is compatibility issues. Since Mod APK files are modified versions of the original applications, they may not be compatible with your device’s specifications, operating system, or other apps. This can result in crashes, glitches, errors, or poor performance while using the app.</p>
- <p>To avoid compatibility issues, you need to check the requirements of the Mod APK file before downloading it and make sure that your device meets them. You also need to update your device’s software and drivers regularly to ensure optimal performance and stability.</p>
- <h3>Updates</h3>
- <p>A third risk of using Mod APK files is updates. Since Mod APK files are not official versions of the applications, they may not receive regular updates from the app developers. This means that they may not have the latest features, bug fixes, or security patches that are available in the official versions.</p>
- <p>To avoid missing out on updates, you need to check for new versions of the Mod APK file regularly and download them from reliable sources. You also need to uninstall the old version before installing the new one to avoid conflicts or errors.</p>
- <h3>Legality</h3>
- <p>A final risk of using Mod APK files is legality. Since Mod APK files are altered versions of the original applications, they may violate the terms and conditions of the app developers or publishers. This can result in legal consequences such as fines, lawsuits, or even bans from using the app.</p>
- <p>To avoid legal issues, you need to respect the intellectual property rights of the app developers or publishers and use Mod APK files at your own risk and discretion. You also need to avoid distributing or sharing Mod APK files with others without their consent.</p>
- <h2>Conclusion</h2>
- <p>In conclusion, 1945 Air Force is a great game for fans of classic arcade games who want to relive their childhood memories or experience a new challenge. However, if you want to enhance your gaming experience with more features and options, you can try downloading 1945 Air Force Mod APK Terbaru from a reliable source.</p>
- <p>However, before you do so, you need to be aware of the risks involved in using Mod APK files, such as malware, compatibility, updates, and legality. You need to follow some simple steps to download and install the Mod APK file safely and securely. You also need to update the file regularly and respect the rights of the app developers or publishers.</p>
- <p>By following these tips, you can enjoy 1945 Air Force Mod APK Terbaru without any hassle or worry. Have fun shooting down your enemies and saving the world!</p>
- <h2>FAQs</h2>
- <p>Here are some frequently asked questions about 1945 Air Force Mod APK Terbaru:</p>
- <table>
-<tr>
-<th>Question</th>
-<th>Answer</th>
-</tr>
-<tr>
-<td>What is the latest version of 1945 Air Force Mod APK Terbaru?</td>
-<td>The latest version of 1945 Air Force Mod APK Terbaru is 9.3, which was released on June 15, 2023. It has a file size of 136 MB and requires Android 4.4 or higher to run.</td>
-</tr>
-<tr>
-<td>What are the features of 1945 Air Force Mod APK Terbaru?</td>
-<td>Some of the features of 1945 Air Force Mod APK Terbaru are: <ul><li>Unlimited coins and gems</li><li>All planes unlocked and upgraded</li><li>No ads</li><li>No root required</li></ul></td>
-</tr>
-<tr>
-<td>Is 1945 Air Force Mod APK Terbaru safe to use?</td>
-<td>1945 Air Force Mod APK Terbaru is safe to use if you download it from a reliable source and scan it with antivirus software before installing it. However, you need to be aware of the risks involved in using Mod APK files and use them at your own risk and discretion.</td>
-</tr>
-<tr>
-<td>How can I update 1945 Air Force Mod APK Terbaru?</td>
-<td>You can update 1945 Air Force Mod APK Terbaru by downloading the latest version from a reputable website and installing it over the old version. You need to uninstall the old version before installing the new one to avoid conflicts or errors.</td>
-</tr>
-<tr>
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-<td>You can play 1945 Air Force Mod APK Terbaru online with other players in co-op or PvP mode. However, you may face some issues or bans from the app developers or publishers if they detect that you are using a modified version of the game.</td>
-</tr>
-</table></p> 401be4b1e0<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/Devil May Cry Peak of Combat - A Stunning 3D Adventure with Classic Characters in English.md b/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/Devil May Cry Peak of Combat - A Stunning 3D Adventure with Classic Characters in English.md
deleted file mode 100644
index c995077320d80f43aea61e57b392f2d439dcb2ca..0000000000000000000000000000000000000000
--- a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/Devil May Cry Peak of Combat - A Stunning 3D Adventure with Classic Characters in English.md	
+++ /dev/null
@@ -1,92 +0,0 @@
-
-<h1>Download Devil May Cry: Peak of Combat English Version</h1>
-<p>If you are a fan of the Devil May Cry series, you might be interested in playing the latest mobile game based on the franchise. Devil May Cry: Peak of Combat is an authorized mobile game created by NebulaJoy, with the deep participation of the official team of CAPCOM Devil May Cry. The game was released in China in 2021, and it has been confirmed that it will have a global release in English and other languages soon. In this article, we will tell you everything you need to know about this game, how to download and install it, and what features and gameplay it offers.</p>
- <h2>Introduction</h2>
-<h3>What is Devil May Cry: Peak of Combat?</h3>
-<p>Devil May Cry: Peak of Combat is a mobile action role-playing game that inherits the Devil May Cry's free, flexible, strategy skills and gorgeous, unconstrained fighting style. The game uses industry-leading motion capture technology to bring an immersive combo experience to the players. The game also restores the classic characters, scenes, weapons, and BOSS of the Devil May Cry series, and presents a Gothic world with high-quality art scenes and visual effects. The game also has a brand new plot that is not revealed in the original series.</p>
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- <h3>Why should you play it?</h3>
-<p>There are many reasons why you should play Devil May Cry: Peak of Combat if you love the franchise or action games in general. Here are some of them:</p>
-<ul>
-<li>You can play as your favorite characters from the series, such as Dante, Vergil, Nero, Lady, Trish, and more. You can also customize their appearance, weapons, skills, and costumes.</li>
-<li>You can enjoy a fast-paced and stylish combat system that allows you to perform various combos, dodge attacks, use Devil Trigger, and unleash powerful moves.</li>
-<li>You can explore a rich and diverse storyline that spans across 12 chapters, featuring familiar locations and enemies from the series, as well as new ones.</li>
-<li>You can participate in different game modes and events, such as Chaos Crisis, Secret Archive, Sky Arena, PVP battles, co-op missions, daily quests, and more.</li>
-<li>You can join a global community of Devil May Cry fans and interact with them through chat, voice chat, social media, forums, etc.</li>
-</ul>
- <h2>How to download and install the game</h2>
-<h3>Requirements and compatibility</h3>
-<p>Before you download and install the game, you need to make sure that your device meets the minimum requirements and is compatible with the game. Here are the requirements for Android and iOS devices:</p>
- <table>
-<tr><th>Platform</th><th>Minimum Requirements</th><th>Recommended Requirements</th></tr>
-<tr><td>Android</td><td>Android 6.0 or above<br>2 GB RAM<br>4 GB free storage space<br>Internet connection</td><td>Android 8.0 or above<br>4 GB RAM or more<br>8 GB free storage space or more<br>Internet connection</td></tr>
-<tr><td>iOS</td><td>iOS 10.0 or above<br>iPhone 6s or above<br>iPad Air 2 or above<br>iPad mini 4 or above<br>iPod touch (7th generation) or above<br>Internet connection</td><td>iOS 12.0 or above<br>iPhone 8 or above<br>iPad Pro (1st generation) or above<br>iPad (6th generation) or above<br>iPod touch (7th generation) or above<br>Internet connection</td></tr>
-</table>
- <h3>Steps to download and install the game</h3>
-<p <p>Since the game is not officially released globally yet, you will need to use some alternative methods to download and install it. Here are the steps for Android and iOS devices:</p>
- <ol>
-<li>For Android devices, you will need to download the APK and OBB files of the game from a reliable source, such as APKPure or TapTap. You can also use a VPN to access the Chinese version of the game from the official website.</li>
-<li>For iOS devices, you will need to create a Chinese Apple ID and use it to access the Chinese App Store, where you can download the game. You can follow this guide to create a Chinese Apple ID without a credit card.</li>
-<li>After you have downloaded the game files, you will need to install them on your device. For Android devices, you will need to enable the installation of apps from unknown sources in your settings. For iOS devices, you will need to trust the developer certificate of the game in your settings.</li>
-<li>Once you have installed the game, you can launch it and choose the language option that suits you. The game supports English, Simplified Chinese, Traditional Chinese, Japanese, and Korean languages. You can also change the language later in the game settings.</li>
-<li>You will also need to create an account and log in to the game. You can use your phone number, email address, or social media account to register. You can also use a guest account, but it is not recommended as you might lose your progress if you uninstall the game or switch devices.</li>
-</ol>
- <h3>Tips and tricks to optimize the game performance</h3>
-<p>Devil May Cry: Peak of Combat is a high-quality game that requires a lot of resources and data to run smoothly. Therefore, you might encounter some issues such as lag, crashes, or errors while playing the game. Here are some tips and tricks to optimize the game performance and avoid these problems:</p>
-<ul>
-<li>Make sure that your device meets the recommended requirements and has enough storage space and battery life.</li>
-<li>Close any background apps or processes that might consume your RAM or CPU.</li>
-<li>Use a stable and fast internet connection, preferably Wi-Fi or 4G.</li>
-<li>Adjust the game settings according to your device's capabilities. You can lower the graphics quality, resolution, frame rate, or sound effects to improve the game speed and reduce the heat generation.</li>
-<li>Clear the game cache and data regularly to free up some space and fix any glitches.</li>
-<li>Update the game whenever there is a new version available to enjoy the latest features and bug fixes.</li>
-</ul>
- <h2>Features and gameplay of the game</h2>
-<h3>Characters and weapons</h3>
-<p>Devil May Cry: Peak of Combat features a variety of characters and weapons that you can choose from. Each character has their own unique personality, appearance, voice, skills, and weapons. You can switch between different characters during the game, depending on the situation and your preference. You can also upgrade your characters and weapons by using gold coins, red orbs, blue orbs, purple orbs, or other items that you can obtain from completing missions or events. Here are some of the characters and weapons that you can find in the game:</p>
- <table>
-<tr><th>Character</th><th>Description</th><th>Weapons</th></tr>
-<tr><td>Dante</td><td>The main protagonist of the series, a half-demon half-human hybrid who runs a demon hunting business called Devil May Cry. He is confident, cocky, witty, and loves pizza.</td><td>Rebellion: A large sword that is Dante's signature weapon.<br>Ebony & Ivory: A pair of custom-made handguns that fire bullets with demonic power.<br>Coyote-A: A sawed-off shotgun that fires explosive shells.<br>Grenadegun: A grenade launcher that fires grenades with different effects.<br>Ifrit: A pair of gauntlets that imbue Dante's fists with fire.<br>Alastor: A living sword that grants Dante lightning powers.<br>Agni & Rudra: A pair of talking swords that control fire and wind.<br>Cerberus: A three-section staff that controls ice.<br>Nevan: A guitar-shaped scythe that controls bats and electricity.<br>Beowulf: A pair of gauntlets and greaves that emit light.<br>Gilgamesh: A set of metal armor that enhances Dante's strength.<br>Lucifer: A backpack-like device that creates explosive blades.<br>Pandora: A briefcase-like weapon that transforms into 666 different forms.<br>E&I Custom: An upgraded version of Ebony & Ivory with more power and speed.</td></tr>
-<tr><td>Vergil </td><td>The twin brother of Dante, a half-demon half-human hybrid who seeks to obtain the power of their father, the legendary dark knight Sparda. He is calm, cold, ruthless, and obsessed with power.</td><td>Yamato: A katana that can cut through anything, even dimensions.<br>Force Edge: A sword that was once wielded by Sparda.<br>Beowulf: A pair of gauntlets and greaves that emit light.<br>Nelo Angelo: A dark armor that Vergil wears when he is corrupted by Mundus.<br>Summoned Swords: Ethereal blades that Vergil can conjure and manipulate.<br>Mirage Edge: A replica of Force Edge that Vergil uses in his human form.<br>Urizen: A monstrous form that Vergil takes when he separates his human and demon halves.</td></tr>
-<tr><td>Nero</td><td>The son of Vergil and a former member of the Order of the Sword, a religious organization that worships Sparda. He is rebellious, sarcastic, loyal, and has a soft spot for his girlfriend Kyrie.</td><td>Red Queen: A sword that has a motorcycle-like handle and an Exceed system that can rev up the blade and increase its power.<br>Blue Rose: A double-barreled revolver that can fire two bullets at once or charge up for more damage.<br>Devil Bringer: Nero's right arm that has demonic power and can grab enemies or objects from a distance.<br>Devil Breaker: A series of mechanical arms that Nero uses after losing his Devil Bringer. Each arm has a different ability and can be used as a weapon or a tool.<br>Devil Trigger: Nero's ability to unleash his demonic power and transform into a more powerful form.</td></tr>
-<tr><td>Lady</td><td>A human demon hunter who works with Dante and Trish. She is the daughter of Arkham, a former researcher of Sparda. She is determined, brave, pragmatic, and skilled with firearms.</td><td>Kalina Ann: A customized rocket launcher that has a grappling hook and a bayonet.<br>Kalina Ann II: A replica of Kalina Ann that Lady obtains from Nico.<br>Pistols: A pair of handguns that Lady uses for quick shots.<br>Shotgun: A pump-action shotgun that Lady uses for close-range combat.<br>Grenades: Explosive devices that Lady can throw at enemies.</td></tr>
-<tr><td>Trish</td><td>A demoness who was created by Mundus in the image of Dante's mother, Eva. She initially betrayed Dante, but later joined him as his partner and friend. She is confident, seductive, playful, and powerful.</td><td>Sparda: A sword that belonged to Sparda and can change its shape and size.<br>Luce & Ombra: A pair of handguns that fire bullets with demonic power.<br>Bare Knuckle: Trish's hand-to-hand combat skills that allow her to punch and kick enemies with ease.<br>Round Trip: Trish's ability to throw her sword like a boomerang and electrocute enemies.<br>Devil Trigger: Trish's ability to unleash her demonic power and transform into a more powerful form.</td></tr>
-</table>
- <h3>Combat system and skills</h3>
-<p>The combat system of Devil May Cry: Peak of Combat is based on the original series, but adapted for mobile devices. You can use virtual buttons on the screen to control your character's movement, attacks, dodges, jumps, skills, etc. You can also customize the button layout and size according to your preference. The game supports both portrait and landscape modes.</p>
- <p>The game also features a skill system that allows you to unlock and upgrade various skills for your characters. You can access the skill menu from the main screen or the pause menu. You can use skill points (SP) to learn new skills or improve existing ones. You can earn SP by completing missions or events, or by using items. Some skills are exclusive to certain characters, while others are shared by all characters. You can equip up to four active skills at a time, and switch between them during combat. You can also use passive skills that provide permanent benefits to your characters.</p>
- <p>The game also has a style system that rewards you for performing stylish combos during combat. The style rank ranges from D (Deadly) to SSS (Smokin' Sexy Style), depending on how varied, uninterrupted, and impressive your combos are. The higher your style rank, the more red orbs you will earn from enemies. Red orbs are the main currency of the game, which you can use to buy items, upgrade weapons, or revive yourself.</p>
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-<p>The game has a storyline that is divided , purple orbs, skill points, or other items in Devil May Cry: Peak of Combat by completing various missions, events, quests, or challenges in the game. You can also buy some of them with real money or exchange them with other currencies or items in the game. You can also get some of them as rewards for logging in, inviting friends, joining a guild, or achieving certain milestones in the game.</p> 197e85843d<br />
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-<h1>How to install Cascadia Code Nerd Font on your computer</h1>
-<p>Cascadia Code is a fun, new monospaced font that includes programming ligatures and is designed to enhance the modern look and feel of the Windows Terminal. Nerd Fonts is a project that patches developer targeted fonts with a high number of glyphs (icons) from popular 'iconic fonts' such as Font Awesome, Devicons, Octicons, and others. In this article, I will show you how to install Cascadia Code Nerd Font on Windows, Mac, and Linux operating systems.</p>
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-<p>To install Cascadia Code Nerd Font on Windows, you need to follow these steps:</p>
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-<p>To install Cascadia Code Nerd Font on Mac, you need to follow these steps:</p>
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-<li>Download the font archive from <a href="(^4^)">GitHub</a> or <a href="(^2^)">Nerd Fonts</a>. The archive contains both the regular and the Powerline versions of the font.</li>
-<li>Extract the font files from the archive. You can use a tool like <a href="(^9^)">The Unarchiver</a> or <a href="(^10^)">Keka</a> to do that.</li>
-<li>Double-click on the font files you want to install and click Install Font in the preview window that opens. You can also drag and drop the font files into the /Library/Fonts or ~/Library/Fonts folders.</li>
-<li>Restart any applications that use fonts, such as your text editor or terminal emulator, to see the new font in action.</li>
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-<li>Download the font archive from <a href="(^4^)">GitHub</a> or <a href="(^2^)">Nerd Fonts</a>. The archive contains both the regular and the Powerline versions of the font.</li>
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-<li>Copy or move the font files into one of these directories: /usr/share/fonts, /usr/local/share/fonts, or ~/.local/share/fonts. You may need root privileges to do that.</li>
-<li>Run the command fc-cache -fv to update the font cache. You may need root privileges to do that.</li>
-<li>Restart any applications that use fonts, such as your text editor or terminal emulator, to see the new font in action.</li>
-</ol>
- <h2>Conclusion</h2>
-<p>In this article, you learned how to download and install Cascadia Code Nerd Font on your computer. Cascadia Code Nerd Font is a great choice for developers who want to spice up their coding environment with some cool icons and ligatures. It works well with various terminal emulators and text editors that support custom fonts. You can also customize the font size, color, and appearance to suit your preferences. I hope you found this article helpful and informative. If you have any questions or feedback, feel free to leave a comment below.</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about Cascadia Code Nerd Font:</p>
-<table>
-<tr>
-<th>Question</th>
-<th>Answer</th>
-</tr>
-<tr>
-<td>What is the difference between Cascadia Code and Cascadia Mono?</td>
-<td>Cascadia Code is a version of Cascadia Mono that includes programming ligatures, which are special symbols that combine two or more characters into one. For example, the characters == are replaced by a single equal sign with a horizontal line below it. Ligatures can make your code more readable and elegant.</td>
-</tr>
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-<td>The Powerline versions of Cascadia Code Nerd Font include additional glyphs that are useful for displaying information in the terminal, such as the current branch, status, and mode. For example, you can use the Powerline symbols to create a fancy prompt for your shell. To use the Powerline versions, you need to have a terminal emulator that supports Powerline, such as <a href="">Hyper</a>, <a href="">Terminus</a>, or <a href="">Windows Terminal</a>.</td>
-</tr>
-<tr>
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-<td>The exact steps may vary depending on the application you are using, but generally you need to access the settings or preferences menu and look for an option to change the font or font family. Then, you need to select Cascadia Code Nerd Font from the list of available fonts. You may also need to adjust the font size and style to your liking.</td>
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-<td>To use the icons and ligatures of Cascadia Code Nerd Font in your code, you need to type the corresponding characters or codes that are mapped to them. You can find a complete list of all the icons and ligatures in the <a href="">Nerd Fonts cheat sheet</a>. You can also use a tool like <a href="">Nerd Fonts Picker</a> or <a href="">Glyphr Studio</a> to easily copy and paste the icons and ligatures you want.</td>
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-<td>You can find more information about Cascadia Code Nerd Font on its official <a href="">GitHub repository</a> or on its <a href="">Nerd Fonts page</a>. You can also check out some <a href="">blog posts</a> and <a href="">videos</a> that showcase the font and its features.</td>
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-<p>One of his most popular songs is 4,3,2,1, which was released in 1997 as the second single from his seventh album Phenomenon. The song features four other rap legends: Method Man, Redman, DMX, and Canibus. The song is a showcase of their lyrical skills and rap styles over a hard-hitting beat produced by LL Cool J and Erick Sermon.</p>
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-<li>The song sparked a feud between LL Cool J and Canibus over a line by Canibus that referenced LL Cool J's tattoo of a microphone on his arm. Canibus rapped: "L, is that a mic on your arm? Let me borrow that." LL Cool J took this as a sign of disrespect and changed his verse to diss Canibus. He rapped: "The symbol on my arm is off limits to challengers." He also added a line at the end of the song: "And before you borrow my mic, you better be able to give it back." Canibus was unaware of these changes until the song was released. He felt betrayed and responded with a diss track called "Second Round K.O." This sparked a back-and-forth exchange of diss tracks between the two rappers that lasted for several months.</li>
-<li>The song influenced hip hop culture and music in several ways. It introduced DMX and Canibus to a wider audience and helped them launch their solo careers. It also showcased the diversity and talent of the rap scene in the late 1990s. It inspired other rap collaborations and posse cuts, such as "Banned from T.V." by Noreaga, "24 Hours to Live" by Mase, and "Reservoir Dogs" by Jay-Z. It also set the standard for rap battles and beefs, as many fans and critics debated who had the best verse and who won the feud.</li>
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-<p>To help you avoid these problems, we have compiled a list of the best free music download sites for 4,3,2,1. These are websites that have a good reputation, a large collection of music, and a user-friendly interface. They also respect the rights of the artists and the labels, and they do not violate any copyright laws.</p>
-<p>Here are the websites that we recommend:</p>
-<table>
-<tr>
-<th>Website</th>
-<th>Description</th>
-<th>Pros</th>
-<th>Cons</th>
-</tr>
-<tr>
-<td><a href="">Jamendo Music</a></td>
-<td>A platform that connects independent artists and music lovers. It offers over 600,000 tracks from various genres and moods.</td>
-<td>- High-quality audio files<br>- No ads or interruptions<br>- Easy to browse and search<br>- Supports streaming and downloading<br>- Allows creating playlists and sharing music</td>
-<td>- Limited mainstream music<br>- Requires registration to download</td>
-</tr>
-<tr>
-<td><a href="">SoundCloud</a></td>
-<td>A social network for music creators and listeners. It hosts millions of songs from both established and emerging artists.</td>
-<td>- Diverse and updated music catalog<br>- Supports streaming and downloading<br>- Allows following artists and discovering new music<br>- Enables commenting and interacting with other users</td>
-<td>- Not all songs are available for download<br>- Some songs require payment or subscription<br>- Contains ads on some tracks</td>
-</tr>
-<tr>
-<td><a href="">Free Music Archive</a></td>
-<td>A library of high-quality and legal music downloads curated by various radio stations, labels, and artists.</td>
-<td>- Wide range of genres and styles<br>- No ads or interruptions<br>- Easy to browse and search<br>- Supports streaming and downloading<br>- Allows rating and reviewing music</td>
-<td>- Limited mainstream music<br>- Requires registration to download</td>
-</tr>
-<tr>
-<td><a href="">Audiomack</a></td>
-<td>A platform that showcases the hottest new music from various genres and regions.</td>
-<td>- Trending and popular music tracks<br>- Supports streaming and downloading<br>- Allows creating playlists and sharing music<br>- Enables following artists and discovering new music</td>
-<td>- Not all songs are available for download<br>- Some songs require subscription<br>- Contains ads on some tracks</td>
-</tr>
-<tr>
-<td><a href="">DatPiff</a></td>
-<td>A website that specializes in hip hop mixtapes and singles from both mainstream and underground artists.</td>
-<td>- Exclusive and original content<br>- Supports streaming and downloading<br>- Allows rating and commenting on music<br>- Enables following artists and discovering new music</td>
-<td>- Not all songs are available for download<br>- Some songs require registration or payment<br>- Contains ads on some tracks</td>
-</tr> <h2>How to Download 4,3,2,1 MP3 from Each Website</h2>
-<p>Now that you have a list of the best free music download sites for 4,3,2,1, you might be wondering how to download the song from each website. Don't worry, we have prepared a step-by-step guide for you. Here is how to download 4,3,2,1 MP3 from each website:</p>
-<table>
-<tr>
-<th>Website</th>
-<th>Steps</th>
-</tr>
-<tr>
-<td>Jamendo Music</td>
-<td><ol>
-<li>Go to <a href="">https://www.jamendo.com/</a> and search for "LL Cool J 4 3 2 1" in the search bar.</li>
-<li>Click on the song title and then click on the download icon next to it.</li>
-<li>Choose the quality and format of the audio file and click on "Download".</li>
-<li>Wait for the download to finish and enjoy the song.</li>
-</ol></td>
-</tr>
-<tr>
-<td>SoundCloud</td>
-<td><ol>
-<li>Go to <a href="">https://soundcloud.com/</a> and search for "LL Cool J 4 3 2 1" in the search bar.</li>
-<li>Click on the song title and then look for the "More" button below it.</li>
-<li>If the song is available for download, you will see a "Download file" option. Click on it and save the file to your device.</li>
-<li>If the song is not available for download, you will need to use a third-party tool such as <a href="">https://sclouddownloader.net/</a> or <a href="">https://scdownloader.io/</a>. Copy the URL of the song and paste it into the tool. Then click on "Download" and save the file to your device.</li>
-</ol></td>
-</tr>
-<tr>
-<td>Free Music Archive</td>
-<td><ol>
-<li>Go to <a href="">https://freemusicarchive.org/</a> and search for "LL Cool J 4 3 2 1" in the search bar.</li>
-<li>Click on the song title and then click on the download icon next to it.</li>
-<li>You will need to register or log in to download the song. You can also use your Facebook or Google account to sign in.</li>
-<li>Choose the quality and format of the audio file and click on "Download".</li>
-<li>Wait for the download to finish and enjoy the song.</li>
-</ol></td>
-</tr>
-<tr>
-<td>Audiomack</td>
-<td><ol>
-<li>Go to <a href="">https://audiomack.com/</a> and search for "LL Cool J 4 3 2 1" in the search bar.</li>
-<li>Click on the song title and then look for the "Download" button below it.</li>
-<li>If the song is available for download, you will see a green button that says "Download MP3". Click on it and save the file to your device.</li>
-<li>If the song is not available for download, you will see a gray button that says "Subscribe to Download". You will need to pay a monthly fee or sign up for a free trial to access the download feature.</li>
-</ol></td>
-</tr>
-<tr>
-<td>DatPiff</td>
-<td><ol>
-<li>Go to <a href="">https://www.datpiff.com/</a> and search for "LL Cool J 4 3 2 1" in the search bar.</li>
-<li>The song is part of a mixtape called "The Best Of LL Cool J Pt.2". Click on the mixtape title and then click on "Download".</li>
-<li>You will need to register or log in to download the mixtape. You can also use your Facebook or Twitter account to sign in.</li>
-<li>You can choose to download the whole mixtape or just the song. If you want to download just the song, click on "Individual Tracks" and then click on "Download Track" next to 4,3,2,1.</li>
-<li>Wait for the download to finish and enjoy the song.</li> </ol></td>
-</tr>
-</table>
- <h2>Conclusion</h2>
-<p>We hope that this article has helped you learn how to download LL Cool J's 4,3,2,1 MP3 for free from various websites that offer free music downloads legally. We also hope that you have enjoyed learning some interesting facts about the history and significance of this song. 4,3,2,1 is a classic hip hop track that showcases the skills and styles of five rap legends. It is a song that deserves to be heard and appreciated by all hip hop fans.</p>
-<p>So what are you waiting for? Go ahead and download 4,3,2,1 MP3 for free from any of the websites that we have recommended. You can also stream the song online or watch the music video on YouTube. You can also share the song with your friends and family and let them know about this hip hop masterpiece.</p>
-<p>Thank you for reading this article and we hope that you have found it useful and informative. If you have any questions, comments, or feedback, please feel free to leave them below. We would love to hear from you and help you with any issues that you might have. Happy listening!</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about 4,3,2,1 and their answers:</p>
-<ol>
-<li><b>Who produced 4,3,2,1?</b><br>The song was produced by LL Cool J and Erick Sermon, who are both rappers and producers. Erick Sermon is best known as one half of the rap duo EPMD. He has also produced songs for artists such as Redman, Keith Murray, Jay-Z, and Ludacris.</li>
-<li><b>What is the meaning of 4,3,2,1?</b><br>The title of the song is a countdown to the start of each verse. It also represents the order of the rappers' popularity at the time of the song's release: LL Cool J (the veteran), Method Man (the superstar), Redman (the rising star), DMX (the newcomer), and Canibus (the unknown).</li>
-<li><b>What is the sample used in 4,3,2,1?</b><br>The song samples a portion of "Hot Pants...I'm Coming, I'm Coming" by Bobby Byrd. The sample is a vocal phrase that says "I'm coming". It is looped throughout the song and serves as a background element.</li>
-<li><b>How did LL Cool J and Canibus end their feud?</b><br>The feud between LL Cool J and Canibus lasted for several months and involved several diss tracks from both sides. The feud ended in 1998 when both rappers appeared on a radio show hosted by DJ Clue and announced that they had settled their differences. They also performed a freestyle together to show their respect for each other.</li>
-<li><b>Where can I find the lyrics of 4,3,2,1?</b><br>You can find the lyrics of 4,3,2,1 on various websites that provide song lyrics. Some of these websites are <a href="">https://genius.com/Ll-cool-j-4321-lyrics</a>, <a href="">https://www.azlyrics.com/lyrics/llcoolj/4321.html</a>, and <a href="">https://www.metrolyrics.com/4321-lyrics-ll-cool-j.html</a>.</li>
-</ol></p> 197e85843d<br />
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diff --git a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/Download Stumble Guys IRGI Terbaik APK v0.50 (2023) with Mod Menu and Skins.md b/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/Download Stumble Guys IRGI Terbaik APK v0.50 (2023) with Mod Menu and Skins.md
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--- a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/Download Stumble Guys IRGI Terbaik APK v0.50 (2023) with Mod Menu and Skins.md	
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- <table>
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- <p>We hope this article has been helpful and informative for you. If you have any questions or feedback, feel free to leave a comment below. Also, if you liked this article, please share it with your friends who might be interested in irgi terbaik apk. Thank you for reading!</p>
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- <h3>Q: Is irgi terbaik apk safe to use?</h3>
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diff --git a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/FIFA 21 PPSSPP Download Link Get the Latest Version for Android.md b/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/FIFA 21 PPSSPP Download Link Get the Latest Version for Android.md
deleted file mode 100644
index f05d5f867967a940bbfe02da34390980e6215372..0000000000000000000000000000000000000000
--- a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/FIFA 21 PPSSPP Download Link Get the Latest Version for Android.md	
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-<p>PPSSPP is an emulator for Sony's first handheld console, the PSP (PlayStation Portable), that is capable of running most PSP games on your PC or Android phone in full HD resolution or even higher. It can also upscale textures, adjust colors, enable shaders, save and load game states, customize controls, and more. Here are the steps to download and install PPSSPP emulator:</p>
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-<ul>
-<li><strong>Tip 1: Use a controller or a keyboard for better control and accuracy</strong>. Playing FIFA games on a touchscreen can be difficult and imprecise. You can use a controller or a keyboard to have more control and accuracy over your players and actions. You can connect a controller or a keyboard to your device via Bluetooth or USB and map the buttons in PPSSPP settings.</li>
-<li><strong>Tip 2: Enable cheats and hacks for more fun and customization</strong>. If you want to have more fun and customization in your FIFA games, you can enable cheats and hacks in PPSSPP. You can find cheat codes and hacks for various FIFA games online or create your own. You can enable them in PPSSPP settings under tools option.</li>
-<li><strong>Tip 3: Save and load game states anytime and anywhere</strong>. One of the best features of PPSSPP is that you can save and load game states anytime and anywhere. This means that you can pause your game, save it, and resume it later without losing any progress. You can also load different game states to try different scenarios or outcomes. You can save and load game states in PPSSPP settings under system option.</li>
-</ul>
- <h2>Conclusion</h2>
-<p>In conclusion, PPSSPP is an amazing emulator that allows you to play FIFA games on your PC or Android phone in high quality and performance. You can download and install PPSSPP emulator easily and play various FIFA games on it. You can also enjoy the best FIFA games to play on PPSSPP, such as FIFA 21, FIFA 20, and FIFA Street 2. Moreover, you can use some tips and tricks to enhance your gaming experience, such as using a controller or a keyboard, enabling cheats and hacks, and saving and loading game states. So what are you waiting for? Download PPSSPP emulator now and start playing FIFA games on it!</p>
- <h3>FAQs</h3>
-<ol>
-<li><strong>Q: Is PPSSPP emulator legal?</strong></li>
-<li>A: Yes, PPSSPP emulator is legal as long as you own the original PSP games that you want to play on it. However, downloading PSP ISO files from the internet may be illegal depending on your country's laws.</li>
-<li><strong>Q: How much space do I need to download PPSSPP emulator and FIFA games?</strong></li>
-<li>A: PPSSPP emulator is very lightweight and does not take much space on your device. However, the size of the FIFA games may vary depending on the game. For example, FIFA 21 is about 1.5 GB, while FIFA Street 2 is about 200 MB.</li>
-<li><strong>Q: Can I play online multiplayer with PPSSPP emulator?</strong></li>
-<li>A: Yes, you can play online multiplayer with PPSSPP emulator using the networking option in the settings. However, you may need to configure some settings like port forwarding or VPN to connect with other players.</li>
-<li><strong>Q: Can I play other PSP games besides FIFA on PPSSPP emulator?</strong></li>
-<li>A: Yes, you can play other PSP games besides FIFA on PPSSPP emulator. PPSSPP supports most PSP games that are compatible with the emulator. You can find a list of compatible OpenGL ES 2.0 or higher</td>
-</tr>
-<tr>
-<td>Android</td>
-<td>Android 4.1 or higher</td>
-<td>Any quad-core CPU or higher</td>
-<td>1 GB or higher</td>
-<td>Any GPU that supports OpenGL ES 2.0 or higher</td>
-</tr>
-</table></p> 401be4b1e0<br />
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diff --git a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/Free Download Life Makeover - Customize Your Fashion Makeup and Design.md b/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/Free Download Life Makeover - Customize Your Fashion Makeup and Design.md
deleted file mode 100644
index 8538932fda60beadc13eba2fea3e9251029952d6..0000000000000000000000000000000000000000
--- a/spaces/simple0urra/skops-model-card-creator-2a23515a-d54e-4804-b365-27ed6e938735/example/Free Download Life Makeover - Customize Your Fashion Makeup and Design.md	
+++ /dev/null
@@ -1,87 +0,0 @@
-
-<h1>Life Makeover Free Download: How to Transform Your Life with a Fun and Engaging Game</h1>
-<p>Do you want to change your life for the better? Do you want to have more fun, creativity, and social connections? Do you want to play a game that lets you do all that and more? If you answered yes to any of these questions, then you should download Life Makeover, a limitless dress-up and social simulation game that will make you feel like you are living your dream life. In this article, we will tell you what Life Makeover is, why you should download it, and how to download it for free.</p>
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- <h2>What is Life Makeover?</h2>
-<p>Life Makeover is a game that allows you to create your own avatar, customize your dress-up and makeup, design your own garments, build your dream house, and chill with your besties. You can explore a vast virtual world, meet other players, join parties, play mini-games, and discover romantic stories. You can also unlock thousands of fashion styles, from exquisite dresses to vintage couture, and express your personal beauty in every detail.</p>
- <h3>A limitless dress-up and social simulation game</h3>
-<p>Life Makeover is not just a dress-up game, but a social simulation game that lets you live a different life in a virtual world. You can interact with other players, invite them to your home, chat with them, send gifts, and even date them. You can also join clubs, participate in events, complete quests, and earn rewards. You can experience various scenarios, from casual hangouts to glamorous parties, from cozy cottages to luxury penthouses.</p>
- <h3>A game powered by Unreal Engine 4</h3>
-<p>Life Makeover is a game that uses the Unreal Engine 4, a powerful game engine that delivers stunning graphics and realistic physics. You can enjoy high-quality visuals, smooth animations, and immersive sound effects. You can also admire the beautiful scenery, the dynamic lighting, and the lifelike details. You will feel like you are in a real world, not just a game.</p>
- <h3>A game that lets you create your own avatar, fashion, and home</h3>
-<p>Life Makeover is a game that gives you full control over your appearance, your style, and your environment. You can create your own avatar from scratch, choosing every facial feature, body shape, skin tone, hair color, eye color, and more. You can also customize your dress-up and makeup from a huge collection of clothes, accessories, shoes, bags, jewelry, hats, glasses, etc. You can even design your own garments from fabric to finished product. You can also build your own home from the ground up, choosing the location, the layout, the furniture, the decoration, the color scheme, etc. You can make your home as cozy or as luxurious as you want.</p>
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-<li><b>Is Life Makeover safe to play?</b><br>Yes, Life Makeover is safe to play. It does not contain any viruses, malware, or spyware. It also does not collect any personal information from you without your consent. You can play Life Makeover without any worries.</li>
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diff --git a/spaces/skf15963/summary/fengshen/data/__init__.py b/spaces/skf15963/summary/fengshen/data/__init__.py
deleted file mode 100644
index 9bad5790a5799b96f2e164d825c0b1f8ec0c2dfb..0000000000000000000000000000000000000000
--- a/spaces/skf15963/summary/fengshen/data/__init__.py
+++ /dev/null
@@ -1 +0,0 @@
-# coding=utf-8
diff --git a/spaces/skf15963/summary/fengshen/models/zen1/modeling.py b/spaces/skf15963/summary/fengshen/models/zen1/modeling.py
deleted file mode 100644
index 510c1f890c21517605d49e62655719ff6c8bd8b2..0000000000000000000000000000000000000000
--- a/spaces/skf15963/summary/fengshen/models/zen1/modeling.py
+++ /dev/null
@@ -1,1085 +0,0 @@
-# coding: utf-8
-# Copyright 2019 Sinovation Ventures AI Institute
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# This file is partially derived from the code at
-# https://github.com/huggingface/transformers/tree/master/transformers
-#
-# Original copyright notice:
-#
-# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
-# Copyright (c) 2018, NVIDIA CORPORATION.  All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""PyTorch ZEN model classes."""
-
-from __future__ import absolute_import, division, print_function, unicode_literals
-import copy
-import logging
-import math
-import os
-import sys
-
-import torch
-from torch import nn
-from torch.nn import CrossEntropyLoss
-from transformers import PreTrainedModel
-
-from .configuration_zen1 import ZenConfig
-
-logger = logging.getLogger(__name__)
-
-PRETRAINED_MODEL_ARCHIVE_MAP = {
-    'IDEA-CCNL/Erlangshen-ZEN1-224M-Chinese': 'https://huggingface.co/IDEA-CCNL/Erlangshen-ZEN1-224M-Chinese/resolve/main/pytorch_model.bin',
-}
-PRETRAINED_CONFIG_ARCHIVE_MAP = {
-    'IDEA-CCNL/Erlangshen-ZEN1-224M-Chinese': 'https://huggingface.co/IDEA-CCNL/Erlangshen-ZEN1-224M-Chinese/resolve/main/config.json',
-}
-BERT_CONFIG_NAME = 'bert_config.json'
-TF_WEIGHTS_NAME = 'model.ckpt'
-
-
-def prune_linear_layer(layer, index, dim=0):
-    """ Prune a linear layer (a model parameters) to keep only entries in index.
-        Return the pruned layer as a new layer with requires_grad=True.
-        Used to remove heads.
-    """
-    index = index.to(layer.weight.device)
-    W = layer.weight.index_select(dim, index).clone().detach()
-    if layer.bias is not None:
-        if dim == 1:
-            b = layer.bias.clone().detach()
-        else:
-            b = layer.bias[index].clone().detach()
-    new_size = list(layer.weight.size())
-    new_size[dim] = len(index)
-    new_layer = nn.Linear(new_size[1], new_size[0], bias=layer.bias is not None).to(layer.weight.device)
-    new_layer.weight.requires_grad = False
-    new_layer.weight.copy_(W.contiguous())
-    new_layer.weight.requires_grad = True
-    if layer.bias is not None:
-        new_layer.bias.requires_grad = False
-        new_layer.bias.copy_(b.contiguous())
-        new_layer.bias.requires_grad = True
-    return new_layer
-
-
-def load_tf_weights_in_bert(model, tf_checkpoint_path):
-    """ Load tf checkpoints in a pytorch model
-    """
-    try:
-        import re
-        import numpy as np
-        import tensorflow as tf
-    except ImportError:
-        print("Loading a TensorFlow models in PyTorch, requires TensorFlow to be installed. Please see "
-              "https://www.tensorflow.org/install/ for installation instructions.")
-        raise
-    tf_path = os.path.abspath(tf_checkpoint_path)
-    print("Converting TensorFlow checkpoint from {}".format(tf_path))
-    # Load weights from TF model
-    init_vars = tf.train.list_variables(tf_path)
-    names = []
-    arrays = []
-    for name, shape in init_vars:
-        print("Loading TF weight {} with shape {}".format(name, shape))
-        array = tf.train.load_variable(tf_path, name)
-        names.append(name)
-        arrays.append(array)
-
-    for name, array in zip(names, arrays):
-        name = name.split('/')
-        # adam_v and adam_m are variables used in AdamWeightDecayOptimizer to calculated m and v
-        # which are not required for using pretrained model
-        if any(n in ["adam_v", "adam_m", "global_step"] for n in name):
-            print("Skipping {}".format("/".join(name)))
-            continue
-        pointer = model
-        for m_name in name:
-            if re.fullmatch(r'[A-Za-z]+_\d+', m_name):
-                lname = re.split(r'_(\d+)', m_name)
-            else:
-                lname = [m_name]
-            if lname[0] == 'kernel' or lname[0] == 'gamma':
-                pointer = getattr(pointer, 'weight')
-            elif lname[0] == 'output_bias' or lname[0] == 'beta':
-                pointer = getattr(pointer, 'bias')
-            elif lname[0] == 'output_weights':
-                pointer = getattr(pointer, 'weight')
-            elif lname[0] == 'squad':
-                pointer = getattr(pointer, 'classifier')
-            else:
-                try:
-                    pointer = getattr(pointer, lname[0])
-                except AttributeError:
-                    print("Skipping {}".format("/".join(name)))
-                    continue
-            if len(lname) >= 2:
-                num = int(lname[1])
-                pointer = pointer[num]
-        if m_name[-11:] == '_embeddings':
-            pointer = getattr(pointer, 'weight')
-        elif m_name == 'kernel':
-            array = np.transpose(array)
-        try:
-            assert pointer.shape == array.shape
-        except AssertionError as e:
-            e.args += (pointer.shape, array.shape)
-            raise
-        print("Initialize PyTorch weight {}".format(name))
-        pointer.data = torch.from_numpy(array)
-    return model
-
-
-def gelu(x):
-    """Implementation of the gelu activation function.
-        For information: OpenAI GPT's gelu is slightly different (and gives slightly different results):
-        0.5 * x * (1 + torch.tanh(math.sqrt(2 / math.pi) * (x + 0.044715 * torch.pow(x, 3))))
-        Also see https://arxiv.org/abs/1606.08415
-    """
-    return x * 0.5 * (1.0 + torch.erf(x / math.sqrt(2.0)))
-
-
-def swish(x):
-    return x * torch.sigmoid(x)
-
-
-ACT2FN = {"gelu": gelu, "relu": torch.nn.functional.relu, "swish": swish}
-
-
-try:
-    # from apex.normalization.fused_layer_norm import FusedLayerNorm as BertLayerNorm
-    from torch.nn import LayerNorm as BertLayerNorm
-except ImportError:
-    logger.info("Better speed can be achieved with apex installed from https://www.github.com/nvidia/apex .")
-
-    class BertLayerNorm(nn.Module):
-        def __init__(self, hidden_size, eps=1e-12):
-            """Construct a layernorm module in the TF style (epsilon inside the square root).
-            """
-            super(BertLayerNorm, self).__init__()
-            self.weight = nn.Parameter(torch.ones(hidden_size))
-            self.bias = nn.Parameter(torch.zeros(hidden_size))
-            self.variance_epsilon = eps
-
-        def forward(self, x):
-            u = x.mean(-1, keepdim=True)
-            s = (x - u).pow(2).mean(-1, keepdim=True)
-            x = (x - u) / torch.sqrt(s + self.variance_epsilon)
-            return self.weight * x + self.bias
-
-
-class BertEmbeddings(nn.Module):
-    """Construct the embeddings from word, position and token_type embeddings.
-    """
-
-    def __init__(self, config):
-        super(BertEmbeddings, self).__init__()
-        self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size, padding_idx=0)
-        self.position_embeddings = nn.Embedding(config.max_position_embeddings, config.hidden_size)
-        self.token_type_embeddings = nn.Embedding(config.type_vocab_size, config.hidden_size)
-
-        # self.LayerNorm is not snake-cased to stick with TensorFlow model variable name and be able to load
-        # any TensorFlow checkpoint file
-        self.LayerNorm = BertLayerNorm(config.hidden_size, eps=config.layer_norm_eps)
-        self.dropout = nn.Dropout(config.hidden_dropout_prob)
-
-    def forward(self, input_ids, token_type_ids=None):
-        seq_length = input_ids.size(1)
-        position_ids = torch.arange(seq_length, dtype=torch.long, device=input_ids.device)
-        position_ids = position_ids.unsqueeze(0).expand_as(input_ids)
-        if token_type_ids is None:
-            token_type_ids = torch.zeros_like(input_ids)
-
-        words_embeddings = self.word_embeddings(input_ids)
-        position_embeddings = self.position_embeddings(position_ids)
-        token_type_embeddings = self.token_type_embeddings(token_type_ids)
-
-        embeddings = words_embeddings + position_embeddings + token_type_embeddings
-        embeddings = self.LayerNorm(embeddings)
-        embeddings = self.dropout(embeddings)
-        return embeddings
-
-
-class BertWordEmbeddings(nn.Module):
-    """Construct the embeddings from ngram, position and token_type embeddings.
-    """
-
-    def __init__(self, config):
-        super(BertWordEmbeddings, self).__init__()
-        self.word_embeddings = nn.Embedding(config.word_size, config.hidden_size, padding_idx=0)
-        self.token_type_embeddings = nn.Embedding(config.type_vocab_size, config.hidden_size)
-
-        # self.LayerNorm is not snake-cased to stick with TensorFlow model variable name and be able to load
-        # any TensorFlow checkpoint file
-        self.LayerNorm = BertLayerNorm(config.hidden_size, eps=config.layer_norm_eps)
-        self.dropout = nn.Dropout(config.hidden_dropout_prob)
-
-    def forward(self, input_ids, token_type_ids=None):
-        if token_type_ids is None:
-            token_type_ids = torch.zeros_like(input_ids)
-
-        words_embeddings = self.word_embeddings(input_ids)
-        token_type_embeddings = self.token_type_embeddings(token_type_ids)
-
-        embeddings = words_embeddings + token_type_embeddings
-        embeddings = self.LayerNorm(embeddings)
-        embeddings = self.dropout(embeddings)
-        return embeddings
-
-
-class BertSelfAttention(nn.Module):
-    def __init__(self, config, output_attentions=False, keep_multihead_output=False):
-        super(BertSelfAttention, self).__init__()
-        if config.hidden_size % config.num_attention_heads != 0:
-            raise ValueError(
-                "The hidden size (%d) is not a multiple of the number of attention "
-                "heads (%d)" % (config.hidden_size, config.num_attention_heads))
-        self.output_attentions = output_attentions
-        self.keep_multihead_output = keep_multihead_output
-        self.multihead_output = None
-
-        self.num_attention_heads = config.num_attention_heads
-        self.attention_head_size = int(config.hidden_size / config.num_attention_heads)
-        self.all_head_size = self.num_attention_heads * self.attention_head_size
-
-        self.query = nn.Linear(config.hidden_size, self.all_head_size)
-        self.key = nn.Linear(config.hidden_size, self.all_head_size)
-        self.value = nn.Linear(config.hidden_size, self.all_head_size)
-
-        self.dropout = nn.Dropout(config.attention_probs_dropout_prob)
-
-    def transpose_for_scores(self, x):
-        new_x_shape = x.size()[:-1] + (self.num_attention_heads, self.attention_head_size)
-        x = x.view(*new_x_shape)
-        return x.permute(0, 2, 1, 3)
-
-    def forward(self, hidden_states, attention_mask, head_mask=None):
-        mixed_query_layer = self.query(hidden_states)
-        mixed_key_layer = self.key(hidden_states)
-        mixed_value_layer = self.value(hidden_states)
-
-        query_layer = self.transpose_for_scores(mixed_query_layer)
-        key_layer = self.transpose_for_scores(mixed_key_layer)
-        value_layer = self.transpose_for_scores(mixed_value_layer)
-
-        # Take the dot product between "query" and "key" to get the raw attention scores.
-        attention_scores = torch.matmul(query_layer, key_layer.transpose(-1, -2))
-        attention_scores = attention_scores / math.sqrt(self.attention_head_size)
-        # Apply the attention mask is (precomputed for all layers in BertModel forward() function)
-        attention_scores = attention_scores + attention_mask
-
-        # Normalize the attention scores to probabilities.
-        attention_probs = nn.Softmax(dim=-1)(attention_scores)
-
-        # This is actually dropping out entire tokens to attend to, which might
-        # seem a bit unusual, but is taken from the original Transformer paper.
-        attention_probs = self.dropout(attention_probs)
-
-        # Mask heads if we want to
-        if head_mask is not None:
-            attention_probs = attention_probs * head_mask
-
-        context_layer = torch.matmul(attention_probs, value_layer)
-        if self.keep_multihead_output:
-            self.multihead_output = context_layer
-            self.multihead_output.retain_grad()
-
-        context_layer = context_layer.permute(0, 2, 1, 3).contiguous()
-        new_context_layer_shape = context_layer.size()[:-2] + (self.all_head_size,)
-        context_layer = context_layer.view(*new_context_layer_shape)
-        if self.output_attentions:
-            return attention_probs, context_layer
-        return context_layer
-
-
-class BertSelfOutput(nn.Module):
-    def __init__(self, config):
-        super(BertSelfOutput, self).__init__()
-        self.dense = nn.Linear(config.hidden_size, config.hidden_size)
-        self.LayerNorm = BertLayerNorm(config.hidden_size, eps=config.layer_norm_eps)
-        self.dropout = nn.Dropout(config.hidden_dropout_prob)
-
-    def forward(self, hidden_states, input_tensor):
-        hidden_states = self.dense(hidden_states)
-        hidden_states = self.dropout(hidden_states)
-        hidden_states = self.LayerNorm(hidden_states + input_tensor)
-        return hidden_states
-
-
-class BertAttention(nn.Module):
-    def __init__(self, config, output_attentions=False, keep_multihead_output=False):
-        super(BertAttention, self).__init__()
-        self.output_attentions = output_attentions
-        self.self = BertSelfAttention(config, output_attentions=output_attentions,
-                                      keep_multihead_output=keep_multihead_output)
-        self.output = BertSelfOutput(config)
-
-    def prune_heads(self, heads):
-        if len(heads) == 0:
-            return
-        mask = torch.ones(self.self.num_attention_heads, self.self.attention_head_size)
-        for head in heads:
-            mask[head] = 0
-        mask = mask.view(-1).contiguous().eq(1)
-        index = torch.arange(len(mask))[mask].long()
-        # Prune linear layers
-        self.self.query = prune_linear_layer(self.self.query, index)
-        self.self.key = prune_linear_layer(self.self.key, index)
-        self.self.value = prune_linear_layer(self.self.value, index)
-        self.output.dense = prune_linear_layer(self.output.dense, index, dim=1)
-        # Update hyper params
-        self.self.num_attention_heads = self.self.num_attention_heads - len(heads)
-        self.self.all_head_size = self.self.attention_head_size * self.self.num_attention_heads
-
-    def forward(self, input_tensor, attention_mask, head_mask=None):
-        self_output = self.self(input_tensor, attention_mask, head_mask)
-        if self.output_attentions:
-            attentions, self_output = self_output
-        attention_output = self.output(self_output, input_tensor)
-        if self.output_attentions:
-            return attentions, attention_output
-        return attention_output
-
-
-class BertIntermediate(nn.Module):
-    def __init__(self, config):
-        super(BertIntermediate, self).__init__()
-        self.dense = nn.Linear(config.hidden_size, config.intermediate_size)
-        # if isinstance(config.hidden_act, str) or (sys.version_info[0] == 2 and isinstance(config.hidden_act, unicode)):
-        if isinstance(config.hidden_act, str) or (sys.version_info[0] == 2):
-            self.intermediate_act_fn = ACT2FN[config.hidden_act]
-        else:
-            self.intermediate_act_fn = config.hidden_act
-
-    def forward(self, hidden_states):
-        hidden_states = self.dense(hidden_states)
-        hidden_states = self.intermediate_act_fn(hidden_states)
-        return hidden_states
-
-
-class BertOutput(nn.Module):
-    def __init__(self, config):
-        super(BertOutput, self).__init__()
-        self.dense = nn.Linear(config.intermediate_size, config.hidden_size)
-        self.LayerNorm = BertLayerNorm(config.hidden_size, eps=config.layer_norm_eps)
-        self.dropout = nn.Dropout(config.hidden_dropout_prob)
-
-    def forward(self, hidden_states, input_tensor):
-        hidden_states = self.dense(hidden_states)
-        hidden_states = self.dropout(hidden_states)
-        hidden_states = self.LayerNorm(hidden_states + input_tensor)
-        return hidden_states
-
-
-class BertLayer(nn.Module):
-    def __init__(self, config, output_attentions=False, keep_multihead_output=False):
-        super(BertLayer, self).__init__()
-        self.output_attentions = output_attentions
-        self.attention = BertAttention(config, output_attentions=output_attentions,
-                                       keep_multihead_output=keep_multihead_output)
-        self.intermediate = BertIntermediate(config)
-        self.output = BertOutput(config)
-
-    def forward(self, hidden_states, attention_mask, head_mask=None):
-        attention_output = self.attention(hidden_states, attention_mask, head_mask)
-        if self.output_attentions:
-            attentions, attention_output = attention_output
-        intermediate_output = self.intermediate(attention_output)
-        layer_output = self.output(intermediate_output, attention_output)
-        if self.output_attentions:
-            return attentions, layer_output
-        return layer_output
-
-
-class ZenEncoder(nn.Module):
-    def __init__(self, config, output_attentions=False, keep_multihead_output=False):
-        super(ZenEncoder, self).__init__()
-        self.output_attentions = output_attentions
-        layer = BertLayer(config, output_attentions=output_attentions,
-                          keep_multihead_output=keep_multihead_output)
-        self.layer = nn.ModuleList([copy.deepcopy(layer) for _ in range(config.num_hidden_layers)])
-        self.word_layers = nn.ModuleList([copy.deepcopy(layer) for _ in range(config.num_hidden_word_layers)])
-        self.num_hidden_word_layers = config.num_hidden_word_layers
-
-    def forward(self, hidden_states, ngram_hidden_states, ngram_position_matrix, attention_mask,
-                ngram_attention_mask,
-                output_all_encoded_layers=True, head_mask=None):
-        # Need to check what is the attention masking doing here
-        all_encoder_layers = []
-        all_attentions = []
-        num_hidden_ngram_layers = self.num_hidden_word_layers
-        for i, layer_module in enumerate(self.layer):
-            hidden_states = layer_module(hidden_states, attention_mask, head_mask[i])
-            if i < num_hidden_ngram_layers:
-                ngram_hidden_states = self.word_layers[i](ngram_hidden_states, ngram_attention_mask, head_mask[i])
-                if self.output_attentions:
-                    ngram_attentions, ngram_hidden_states = ngram_hidden_states
-            if self.output_attentions:
-                attentions, hidden_states = hidden_states
-                all_attentions.append(attentions)
-            hidden_states += torch.bmm(ngram_position_matrix.float(), ngram_hidden_states.float())
-            if output_all_encoded_layers:
-                all_encoder_layers.append(hidden_states)
-        if not output_all_encoded_layers:
-            all_encoder_layers.append(hidden_states)
-        if self.output_attentions:
-            return all_attentions, all_encoder_layers
-        return all_encoder_layers
-
-
-class BertPooler(nn.Module):
-    def __init__(self, config):
-        super(BertPooler, self).__init__()
-        self.dense = nn.Linear(config.hidden_size, config.hidden_size)
-        self.activation = nn.Tanh()
-
-    def forward(self, hidden_states):
-        # We "pool" the model by simply taking the hidden state corresponding
-        # to the first token.
-        first_token_tensor = hidden_states[:, 0]
-        pooled_output = self.dense(first_token_tensor)
-        pooled_output = self.activation(pooled_output)
-        return pooled_output
-
-
-class BertPredictionHeadTransform(nn.Module):
-    def __init__(self, config):
-        super(BertPredictionHeadTransform, self).__init__()
-        self.dense = nn.Linear(config.hidden_size, config.hidden_size)
-        # if isinstance(config.hidden_act, str) or (sys.version_info[0] == 2 and isinstance(config.hidden_act, unicode)):
-        if isinstance(config.hidden_act, str) or (sys.version_info[0] == 2):
-            self.transform_act_fn = ACT2FN[config.hidden_act]
-        else:
-            self.transform_act_fn = config.hidden_act
-        self.LayerNorm = BertLayerNorm(config.hidden_size, eps=config.layer_norm_eps)
-
-    def forward(self, hidden_states):
-        hidden_states = self.dense(hidden_states)
-        hidden_states = self.transform_act_fn(hidden_states)
-        hidden_states = self.LayerNorm(hidden_states)
-        return hidden_states
-
-
-class BertLMPredictionHead(nn.Module):
-    def __init__(self, config, bert_model_embedding_weights):
-        super(BertLMPredictionHead, self).__init__()
-        self.transform = BertPredictionHeadTransform(config)
-
-        # The output weights are the same as the input embeddings, but there is
-        # an output-only bias for each token.
-        self.decoder = nn.Linear(bert_model_embedding_weights.size(1),
-                                 bert_model_embedding_weights.size(0),
-                                 bias=False)
-        self.decoder.weight = bert_model_embedding_weights
-        self.bias = nn.Parameter(torch.zeros(bert_model_embedding_weights.size(0)))
-
-    def forward(self, hidden_states):
-        hidden_states = self.transform(hidden_states)
-        hidden_states = self.decoder(hidden_states) + self.bias
-        return hidden_states
-
-
-class ZenOnlyMLMHead(nn.Module):
-    def __init__(self, config, bert_model_embedding_weights):
-        super(ZenOnlyMLMHead, self).__init__()
-        self.predictions = BertLMPredictionHead(config, bert_model_embedding_weights)
-
-    def forward(self, sequence_output):
-        prediction_scores = self.predictions(sequence_output)
-        return prediction_scores
-
-
-class ZenOnlyNSPHead(nn.Module):
-    def __init__(self, config):
-        super(ZenOnlyNSPHead, self).__init__()
-        self.seq_relationship = nn.Linear(config.hidden_size, 2)
-
-    def forward(self, pooled_output):
-        seq_relationship_score = self.seq_relationship(pooled_output)
-        return seq_relationship_score
-
-
-class ZenPreTrainingHeads(nn.Module):
-    def __init__(self, config, bert_model_embedding_weights):
-        super(ZenPreTrainingHeads, self).__init__()
-        self.predictions = BertLMPredictionHead(config, bert_model_embedding_weights)
-        self.seq_relationship = nn.Linear(config.hidden_size, 2)
-
-    def forward(self, sequence_output, pooled_output):
-        prediction_scores = self.predictions(sequence_output)
-        seq_relationship_score = self.seq_relationship(pooled_output)
-        return prediction_scores, seq_relationship_score
-
-
-class ZenPreTrainedModel(PreTrainedModel):
-    """ An abstract class to handle weights initialization and
-        a simple interface for dowloading and loading pretrained models.
-    """
-    config_class = ZenConfig
-    base_model_prefix = "IDEA-CCNL/Erlangshen-ZEN1-224M-Chinese"
-    supports_gradient_checkpointing = True
-    _keys_to_ignore_on_load_missing = [r"position_ids"]
-
-    def _init_weights(self, module):
-        """Initialize the weights"""
-        if isinstance(module, nn.Linear):
-            # Slightly different from the TF version which uses truncated_normal for initialization
-            # cf https://github.com/pytorch/pytorch/pull/5617
-            module.weight.data.normal_(
-                mean=0.0, std=self.config.initializer_range)
-            if module.bias is not None:
-                module.bias.data.zero_()
-        elif isinstance(module, nn.Embedding):
-            module.weight.data.normal_(
-                mean=0.0, std=self.config.initializer_range)
-            if module.padding_idx is not None:
-                module.weight.data[module.padding_idx].zero_()
-        elif isinstance(module, nn.LayerNorm):
-            module.bias.data.zero_()
-            module.weight.data.fill_(1.0)
-
-
-class ZenModel(ZenPreTrainedModel):
-    """ZEN model ("BERT-based Chinese (Z) text encoder Enhanced by N-gram representations").
-
-    Params:
-        `config`: a BertConfig class instance with the configuration to build a new model
-        `output_attentions`: If True, also output attentions weights computed by the model at each layer. Default: False
-        `keep_multihead_output`: If True, saves output of the multi-head attention module with its gradient.
-            This can be used to compute head importance metrics. Default: False
-
-    Inputs:
-        `input_ids`: a torch.LongTensor of shape [batch_size, sequence_length]
-            with the word token indices in the vocabulary
-        `token_type_ids`: an optional torch.LongTensor of shape [batch_size, sequence_length] with the token
-            types indices selected in [0, 1]. Type 0 corresponds to a `sentence A` and type 1 corresponds to
-            a `sentence B` token (see BERT paper for more details).
-        `attention_mask`: an optional torch.LongTensor of shape [batch_size, sequence_length] with indices
-            selected in [0, 1]. It's a mask to be used if the input sequence length is smaller than the max
-            input sequence length in the current batch. It's the mask that we typically use for attention when
-            a batch has varying length sentences.
-        `output_all_encoded_layers`: boolean which controls the content of the `encoded_layers` output as described below. Default: `True`.
-        `head_mask`: an optional torch.Tensor of shape [num_heads] or [num_layers, num_heads] with indices between 0 and 1.
-            It's a mask to be used to nullify some heads of the transformer. 1.0 => head is fully masked, 0.0 => head is not masked.
-        `input_ngram_ids`: input_ids of ngrams.
-        `ngram_token_type_ids`: token_type_ids of ngrams.
-        `ngram_attention_mask`: attention_mask of ngrams.
-        `ngram_position_matrix`: position matrix of ngrams.
-
-
-    Outputs: Tuple of (encoded_layers, pooled_output)
-        `encoded_layers`: controled by `output_all_encoded_layers` argument:
-            - `output_all_encoded_layers=True`: outputs a list of the full sequences of encoded-hidden-states at the end
-                of each attention block (i.e. 12 full sequences for BERT-base, 24 for BERT-large), each
-                encoded-hidden-state is a torch.FloatTensor of size [batch_size, sequence_length, hidden_size],
-            - `output_all_encoded_layers=False`: outputs only the full sequence of hidden-states corresponding
-                to the last attention block of shape [batch_size, sequence_length, hidden_size],
-        `pooled_output`: a torch.FloatTensor of size [batch_size, hidden_size] which is the output of a
-            classifier pretrained on top of the hidden state associated to the first character of the
-            input (`CLS`) to train on the Next-Sentence task (see BERT's paper).
-
-    """
-
-    def __init__(self, config, output_attentions=False, keep_multihead_output=False):
-        super(ZenModel, self).__init__(config)
-        self.output_attentions = output_attentions
-        self.embeddings = BertEmbeddings(config)
-        self.word_embeddings = BertWordEmbeddings(config)
-        self.encoder = ZenEncoder(config, output_attentions=output_attentions,
-                                  keep_multihead_output=keep_multihead_output)
-        self.pooler = BertPooler(config)
-        self.init_weights()
-
-    def prune_heads(self, heads_to_prune):
-        """ Prunes heads of the model.
-            heads_to_prune: dict of {layer_num: list of heads to prune in this layer}
-        """
-        for layer, heads in heads_to_prune.items():
-            self.encoder.layer[layer].attention.prune_heads(heads)
-
-    def get_multihead_outputs(self):
-        """ Gather all multi-head outputs.
-            Return: list (layers) of multihead module outputs with gradients
-        """
-        return [layer.attention.self.multihead_output for layer in self.encoder.layer]
-
-    def forward(self, input_ids,
-                input_ngram_ids,
-                ngram_position_matrix,
-                token_type_ids=None,
-                ngram_token_type_ids=None,
-                attention_mask=None,
-                ngram_attention_mask=None,
-                output_all_encoded_layers=True,
-                head_mask=None):
-        if attention_mask is None:
-            attention_mask = torch.ones_like(input_ids)
-        if token_type_ids is None:
-            token_type_ids = torch.zeros_like(input_ids)
-
-        if ngram_attention_mask is None:
-            ngram_attention_mask = torch.ones_like(input_ngram_ids)
-        if ngram_token_type_ids is None:
-            ngram_token_type_ids = torch.zeros_like(input_ngram_ids)
-
-        # We create a 3D attention mask from a 2D tensor mask.
-        # Sizes are [batch_size, 1, 1, to_seq_length]
-        # So we can broadcast to [batch_size, num_heads, from_seq_length, to_seq_length]
-        # this attention mask is more simple than the triangular masking of causal attention
-        # used in OpenAI GPT, we just need to prepare the broadcast dimension here.
-        extended_attention_mask = attention_mask.unsqueeze(1).unsqueeze(2)
-        extended_ngram_attention_mask = ngram_attention_mask.unsqueeze(1).unsqueeze(2)
-
-        # Since attention_mask is 1.0 for positions we want to attend and 0.0 for
-        # masked positions, this operation will create a tensor which is 0.0 for
-        # positions we want to attend and -10000.0 for masked positions.
-        # Since we are adding it to the raw scores before the softmax, this is
-        # effectively the same as removing these entirely.
-        extended_attention_mask = extended_attention_mask.to(dtype=next(self.parameters()).dtype)  # fp16 compatibility
-        extended_attention_mask = (1.0 - extended_attention_mask) * -10000.0
-
-        extended_ngram_attention_mask = extended_ngram_attention_mask.to(dtype=next(self.parameters()).dtype)
-        extended_ngram_attention_mask = (1.0 - extended_ngram_attention_mask) * -10000.0
-
-        # Prepare head mask if needed
-        # 1.0 in head_mask indicate we keep the head
-        # attention_probs has shape bsz x n_heads x N x N
-        # input head_mask has shape [num_heads] or [num_hidden_layers x num_heads]
-        # and head_mask is converted to shape [num_hidden_layers x batch x num_heads x seq_length x seq_length]
-        if head_mask is not None:
-            if head_mask.dim() == 1:
-                head_mask = head_mask.unsqueeze(0).unsqueeze(0).unsqueeze(-1).unsqueeze(-1)
-                head_mask = head_mask.expand_as(self.config.num_hidden_layers, -1, -1, -1, -1)
-            elif head_mask.dim() == 2:
-                head_mask = head_mask.unsqueeze(1).unsqueeze(-1).unsqueeze(
-                    -1)  # We can specify head_mask for each layer
-            head_mask = head_mask.to(
-                dtype=next(self.parameters()).dtype)  # switch to fload if need + fp16 compatibility
-        else:
-            head_mask = [None] * self.config.num_hidden_layers
-
-        embedding_output = self.embeddings(input_ids, token_type_ids)
-        ngram_embedding_output = self.word_embeddings(input_ngram_ids, ngram_token_type_ids)
-
-        encoded_layers = self.encoder(embedding_output,
-                                      ngram_embedding_output,
-                                      ngram_position_matrix,
-                                      extended_attention_mask,
-                                      extended_ngram_attention_mask,
-                                      output_all_encoded_layers=output_all_encoded_layers,
-                                      head_mask=head_mask)
-        if self.output_attentions:
-            all_attentions, encoded_layers = encoded_layers
-        sequence_output = encoded_layers[-1]
-        pooled_output = self.pooler(sequence_output)
-        if not output_all_encoded_layers:
-            encoded_layers = encoded_layers[-1]
-        if self.output_attentions:
-            return all_attentions, encoded_layers, pooled_output
-        return encoded_layers, pooled_output
-
-
-class ZenForPreTraining(ZenPreTrainedModel):
-    """ZEN model with pre-training heads.
-    This module comprises the ZEN model followed by the two pre-training heads:
-        - the masked language modeling head, and
-        - the next sentence classification head.
-
-    Params:
-        `config`: a BertConfig class instance with the configuration to build a new model
-        `output_attentions`: If True, also output attentions weights computed by the model at each layer. Default: False
-        `keep_multihead_output`: If True, saves output of the multi-head attention module with its gradient.
-            This can be used to compute head importance metrics. Default: False
-
-    Inputs:
-        `input_ids`: a torch.LongTensor of shape [batch_size, sequence_length]
-            with the word token indices in the vocabulary
-        `token_type_ids`: an optional torch.LongTensor of shape [batch_size, sequence_length] with the token
-            types indices selected in [0, 1]. Type 0 corresponds to a `sentence A` and type 1 corresponds to
-            a `sentence B` token (see BERT paper for more details).
-        `attention_mask`: an optional torch.LongTensor of shape [batch_size, sequence_length] with indices
-            selected in [0, 1]. It's a mask to be used if the input sequence length is smaller than the max
-            input sequence length in the current batch. It's the mask that we typically use for attention when
-            a batch has varying length sentences.
-        `masked_lm_labels`: optional masked language modeling labels: torch.LongTensor of shape [batch_size, sequence_length]
-            with indices selected in [-1, 0, ..., vocab_size]. All labels set to -1 are ignored (masked), the loss
-            is only computed for the labels set in [0, ..., vocab_size]
-        `next_sentence_label`: optional next sentence classification loss: torch.LongTensor of shape [batch_size]
-            with indices selected in [0, 1].
-            0 => next sentence is the continuation, 1 => next sentence is a random sentence.
-        `head_mask`: an optional torch.Tensor of shape [num_heads] or [num_layers, num_heads] with indices between 0 and 1.
-            It's a mask to be used to nullify some heads of the transformer. 1.0 => head is fully masked, 0.0 => head is not masked.
-        `input_ngram_ids`: input_ids of ngrams.
-        `ngram_token_type_ids`: token_type_ids of ngrams.
-        `ngram_attention_mask`: attention_mask of ngrams.
-        `ngram_position_matrix`: position matrix of ngrams.
-
-    Outputs:
-        if `masked_lm_labels` and `next_sentence_label` are not `None`:
-            Outputs the total_loss which is the sum of the masked language modeling loss and the next
-            sentence classification loss.
-        if `masked_lm_labels` or `next_sentence_label` is `None`:
-            Outputs a tuple comprising
-            - the masked language modeling logits of shape [batch_size, sequence_length, vocab_size], and
-            - the next sentence classification logits of shape [batch_size, 2].
-
-    """
-
-    def __init__(self, config, output_attentions=False, keep_multihead_output=False):
-        super(ZenForPreTraining, self).__init__(config)
-        self.output_attentions = output_attentions
-        self.bert = ZenModel(config, output_attentions=output_attentions,
-                             keep_multihead_output=keep_multihead_output)
-        self.cls = ZenPreTrainingHeads(config, self.bert.embeddings.word_embeddings.weight)
-        self.init_weights()
-
-    def forward(self, input_ids, input_ngram_ids, ngram_position_matrix, token_type_ids=None,
-                ngram_token_type_ids=None,
-                attention_mask=None,
-                ngram_attention_mask=None,
-                masked_lm_labels=None,
-                next_sentence_label=None, head_mask=None):
-        outputs = self.bert(input_ids,
-                            input_ngram_ids,
-                            ngram_position_matrix,
-                            token_type_ids,
-                            ngram_token_type_ids,
-                            attention_mask,
-                            ngram_attention_mask,
-                            output_all_encoded_layers=False, head_mask=head_mask)
-        if self.output_attentions:
-            all_attentions, sequence_output, pooled_output = outputs
-        else:
-            sequence_output, pooled_output = outputs
-        prediction_scores, seq_relationship_score = self.cls(sequence_output, pooled_output)
-
-        if masked_lm_labels is not None and next_sentence_label is not None:
-            loss_fct = CrossEntropyLoss(ignore_index=-1)
-            masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), masked_lm_labels.view(-1))
-            next_sentence_loss = loss_fct(seq_relationship_score.view(-1, 2), next_sentence_label.view(-1))
-            total_loss = masked_lm_loss + next_sentence_loss
-            return total_loss
-        elif self.output_attentions:
-            return all_attentions, prediction_scores, seq_relationship_score
-        return prediction_scores, seq_relationship_score
-
-
-class ZenForMaskedLM(ZenPreTrainedModel):
-    """ZEN model with the masked language modeling head.
-    This module comprises the ZEN model followed by the masked language modeling head.
-
-    Params:
-        `config`: a BertConfig class instance with the configuration to build a new model
-        `output_attentions`: If True, also output attentions weights computed by the model at each layer. Default: False
-        `keep_multihead_output`: If True, saves output of the multi-head attention module with its gradient.
-            This can be used to compute head importance metrics. Default: False
-
-    Inputs:
-        `input_ids`: a torch.LongTensor of shape [batch_size, sequence_length]
-            with the word token indices in the vocabulary
-        `token_type_ids`: an optional torch.LongTensor of shape [batch_size, sequence_length] with the token
-            types indices selected in [0, 1]. Type 0 corresponds to a `sentence A` and type 1 corresponds to
-            a `sentence B` token (see BERT paper for more details).
-        `attention_mask`: an optional torch.LongTensor of shape [batch_size, sequence_length] with indices
-            selected in [0, 1]. It's a mask to be used if the input sequence length is smaller than the max
-            input sequence length in the current batch. It's the mask that we typically use for attention when
-            a batch has varying length sentences.
-        `masked_lm_labels`: masked language modeling labels: torch.LongTensor of shape [batch_size, sequence_length]
-            with indices selected in [-1, 0, ..., vocab_size]. All labels set to -1 are ignored (masked), the loss
-            is only computed for the labels set in [0, ..., vocab_size]
-        `head_mask`: an optional torch.LongTensor of shape [num_heads] with indices
-            selected in [0, 1]. It's a mask to be used if the input sequence length is smaller than the max
-            input sequence length in the current batch. It's the mask that we typically use for attention when
-            a batch has varying length sentences.
-        `head_mask`: an optional torch.Tensor of shape [num_heads] or [num_layers, num_heads] with indices between 0 and 1.
-            It's a mask to be used to nullify some heads of the transformer. 1.0 => head is fully masked, 0.0 => head is not masked.
-        `input_ngram_ids`: input_ids of ngrams.
-        `ngram_token_type_ids`: token_type_ids of ngrams.
-        `ngram_attention_mask`: attention_mask of ngrams.
-        `ngram_position_matrix`: position matrix of ngrams.
-
-    Outputs:
-        if `masked_lm_labels` is  not `None`:
-            Outputs the masked language modeling loss.
-        if `masked_lm_labels` is `None`:
-            Outputs the masked language modeling logits of shape [batch_size, sequence_length, vocab_size].
-
-    """
-
-    def __init__(self, config, output_attentions=False, keep_multihead_output=False):
-        super(ZenForMaskedLM, self).__init__(config)
-        self.output_attentions = output_attentions
-        self.bert = ZenModel(config, output_attentions=output_attentions,
-                             keep_multihead_output=keep_multihead_output)
-        self.cls = ZenOnlyMLMHead(config, self.bert.embeddings.word_embeddings.weight)
-        self.init_weights()
-
-    def forward(self, input_ids, input_ngram_ids, ngram_position_matrix, token_type_ids=None, attention_mask=None, masked_lm_labels=None, head_mask=None):
-        outputs = self.bert(input_ids, input_ngram_ids, ngram_position_matrix, token_type_ids, attention_mask,
-                            output_all_encoded_layers=False,
-                            head_mask=head_mask)
-        if self.output_attentions:
-            all_attentions, sequence_output, _ = outputs
-        else:
-            sequence_output, _ = outputs
-        prediction_scores = self.cls(sequence_output)
-
-        if masked_lm_labels is not None:
-            loss_fct = CrossEntropyLoss(ignore_index=-1)
-            masked_lm_loss = loss_fct(prediction_scores.view(-1, self.config.vocab_size), masked_lm_labels.view(-1))
-            return masked_lm_loss
-        elif self.output_attentions:
-            return all_attentions, prediction_scores
-        return prediction_scores
-
-
-class ZenForNextSentencePrediction(ZenPreTrainedModel):
-    """ZEN model with next sentence prediction head.
-    This module comprises the ZEN model followed by the next sentence classification head.
-
-    Params:
-        `config`: a BertConfig class instance with the configuration to build a new model
-        `output_attentions`: If True, also output attentions weights computed by the model at each layer. Default: False
-        `keep_multihead_output`: If True, saves output of the multi-head attention module with its gradient.
-            This can be used to compute head importance metrics. Default: False
-
-    Inputs:
-        `input_ids`: a torch.LongTensor of shape [batch_size, sequence_length]
-            with the word token indices in the vocabulary
-        `token_type_ids`: an optional torch.LongTensor of shape [batch_size, sequence_length] with the token
-            types indices selected in [0, 1]. Type 0 corresponds to a `sentence A` and type 1 corresponds to
-            a `sentence B` token (see BERT paper for more details).
-        `attention_mask`: an optional torch.LongTensor of shape [batch_size, sequence_length] with indices
-            selected in [0, 1]. It's a mask to be used if the input sequence length is smaller than the max
-            input sequence length in the current batch. It's the mask that we typically use for attention when
-            a batch has varying length sentences.
-        `next_sentence_label`: next sentence classification loss: torch.LongTensor of shape [batch_size]
-            with indices selected in [0, 1].
-            0 => next sentence is the continuation, 1 => next sentence is a random sentence.
-        `head_mask`: an optional torch.Tensor of shape [num_heads] or [num_layers, num_heads] with indices between 0 and 1.
-            It's a mask to be used to nullify some heads of the transformer. 1.0 => head is fully masked, 0.0 => head is not masked.
-        `input_ngram_ids`: input_ids of ngrams.
-        `ngram_token_type_ids`: token_type_ids of ngrams.
-        `ngram_attention_mask`: attention_mask of ngrams.
-        `ngram_position_matrix`: position matrix of ngrams.
-
-    Outputs:
-        if `next_sentence_label` is not `None`:
-            Outputs the total_loss which is the sum of the masked language modeling loss and the next
-            sentence classification loss.
-        if `next_sentence_label` is `None`:
-            Outputs the next sentence classification logits of shape [batch_size, 2].
-
-    """
-
-    def __init__(self, config, output_attentions=False, keep_multihead_output=False):
-        super(ZenForNextSentencePrediction, self).__init__(config)
-        self.output_attentions = output_attentions
-        self.bert = ZenModel(config, output_attentions=output_attentions,
-                             keep_multihead_output=keep_multihead_output)
-        self.cls = ZenOnlyNSPHead(config)
-        self.init_weights()
-
-    def forward(self, input_ids, input_ngram_ids, ngram_position_matrix, token_type_ids=None, attention_mask=None, next_sentence_label=None, head_mask=None):
-        outputs = self.bert(input_ids, input_ngram_ids, ngram_position_matrix, token_type_ids, attention_mask,
-                            output_all_encoded_layers=False,
-                            head_mask=head_mask)
-        if self.output_attentions:
-            all_attentions, _, pooled_output = outputs
-        else:
-            _, pooled_output = outputs
-        seq_relationship_score = self.cls(pooled_output)
-
-        if next_sentence_label is not None:
-            loss_fct = CrossEntropyLoss(ignore_index=-1)
-            next_sentence_loss = loss_fct(seq_relationship_score.view(-1, 2), next_sentence_label.view(-1))
-            return next_sentence_loss
-        elif self.output_attentions:
-            return all_attentions, seq_relationship_score
-        return seq_relationship_score
-
-
-class ZenForSequenceClassification(ZenPreTrainedModel):
-    """ZEN model for classification.
-    This module is composed of the ZEN model with a linear layer on top of
-    the pooled output.
-
-    Params:
-        `config`: a BertConfig class instance with the configuration to build a new model
-        `output_attentions`: If True, also output attentions weights computed by the model at each layer. Default: False
-        `keep_multihead_output`: If True, saves output of the multi-head attention module with its gradient.
-            This can be used to compute head importance metrics. Default: False
-        `num_labels`: the number of classes for the classifier. Default = 2.
-
-    Inputs:
-        `input_ids`: a torch.LongTensor of shape [batch_size, sequence_length]
-            with the word token indices in the vocabulary. Items in the batch should begin with the special "CLS" token. (see the tokens preprocessing logic in the scripts
-            `extract_features.py`, `run_classifier.py` and `run_squad.py`)
-        `token_type_ids`: an optional torch.LongTensor of shape [batch_size, sequence_length] with the token
-            types indices selected in [0, 1]. Type 0 corresponds to a `sentence A` and type 1 corresponds to
-            a `sentence B` token (see BERT paper for more details).
-        `attention_mask`: an optional torch.LongTensor of shape [batch_size, sequence_length] with indices
-            selected in [0, 1]. It's a mask to be used if the input sequence length is smaller than the max
-            input sequence length in the current batch. It's the mask that we typically use for attention when
-            a batch has varying length sentences.
-        `labels`: labels for the classification output: torch.LongTensor of shape [batch_size]
-            with indices selected in [0, ..., num_labels].
-        `head_mask`: an optional torch.Tensor of shape [num_heads] or [num_layers, num_heads] with indices between 0 and 1.
-            It's a mask to be used to nullify some heads of the transformer. 1.0 => head is fully masked, 0.0 => head is not masked.
-        `input_ngram_ids`: input_ids of ngrams.
-        `ngram_token_type_ids`: token_type_ids of ngrams.
-        `ngram_attention_mask`: attention_mask of ngrams.
-        `ngram_position_matrix`: position matrix of ngrams.
-
-    Outputs:
-        if `labels` is not `None`:
-            Outputs the CrossEntropy classification loss of the output with the labels.
-        if `labels` is `None`:
-            Outputs the classification logits of shape [batch_size, num_labels].
-
-    """
-
-    def __init__(self, config, num_labels=2, output_attentions=False, keep_multihead_output=False):
-        # super().__init__(config, num_labels, output_attentions, keep_multihead_output)
-        super().__init__(config)
-        self.config = config
-        self.output_attentions = output_attentions
-        self.num_labels = config.num_labels
-        self.bert = ZenModel(config, output_attentions=output_attentions,
-                             keep_multihead_output=keep_multihead_output)
-        self.dropout = nn.Dropout(config.hidden_dropout_prob)
-        self.classifier = nn.Linear(config.hidden_size, self.num_labels)
-        self.init_weights()
-
-    def forward(self, input_ids, input_ngram_ids, ngram_position_matrix, token_type_ids=None, attention_mask=None, labels=None, head_mask=None):
-        outputs = self.bert(input_ids, input_ngram_ids, ngram_position_matrix, token_type_ids, attention_mask,
-                            output_all_encoded_layers=False,
-                            head_mask=head_mask)
-        if self.output_attentions:
-            all_attentions, _, pooled_output = outputs
-        else:
-            _, pooled_output = outputs
-        pooled_output = self.dropout(pooled_output)
-        logits = self.classifier(pooled_output)
-
-        loss = None
-        if labels is not None:
-            loss_fct = CrossEntropyLoss()
-            # print('logits***************', logits, labels)
-            # breakpoint()
-            loss = loss_fct(logits.view(-1, self.num_labels), labels.view(-1))
-            return loss, logits
-        elif self.output_attentions:
-            return all_attentions, logits
-        return loss, logits
-
-
-class ZenForTokenClassification(ZenPreTrainedModel):
-    """ZEN model for token-level classification.
-    This module is composed of the ZEN model with a linear layer on top of
-    the full hidden state of the last layer.
-
-    Params:
-        `config`: a BertConfig class instance with the configuration to build a new model
-        `output_attentions`: If True, also output attentions weights computed by the model at each layer. Default: False
-        `keep_multihead_output`: If True, saves output of the multi-head attention module with its gradient.
-            This can be used to compute head importance metrics. Default: False
-        `num_labels`: the number of classes for the classifier. Default = 2.
-
-    Inputs:
-        `input_ids`: a torch.LongTensor of shape [batch_size, sequence_length]
-            with the word token indices in the vocabulary
-        `token_type_ids`: an optional torch.LongTensor of shape [batch_size, sequence_length] with the token
-            types indices selected in [0, 1]. Type 0 corresponds to a `sentence A` and type 1 corresponds to
-            a `sentence B` token (see BERT paper for more details).
-        `attention_mask`: an optional torch.LongTensor of shape [batch_size, sequence_length] with indices
-            selected in [0, 1]. It's a mask to be used if the input sequence length is smaller than the max
-            input sequence length in the current batch. It's the mask that we typically use for attention when
-            a batch has varying length sentences.
-        `labels`: labels for the classification output: torch.LongTensor of shape [batch_size, sequence_length]
-            with indices selected in [0, ..., num_labels].
-        `head_mask`: an optional torch.Tensor of shape [num_heads] or [num_layers, num_heads] with indices between 0 and 1.
-            It's a mask to be used to nullify some heads of the transformer. 1.0 => head is fully masked, 0.0 => head is not masked.
-        `input_ngram_ids`: input_ids of ngrams.
-        `ngram_token_type_ids`: token_type_ids of ngrams.
-        `ngram_attention_mask`: attention_mask of ngrams.
-        `ngram_position_matrix`: position matrix of ngrams.
-
-    Outputs:
-        if `labels` is not `None`:
-            Outputs the CrossEntropy classification loss of the output with the labels.
-        if `labels` is `None`:
-            Outputs the classification logits of shape [batch_size, sequence_length, num_labels].
-
-    """
-
-    def __init__(self, config, num_labels=2, output_attentions=False, keep_multihead_output=False):
-        super().__init__(config)
-        self.output_attentions = output_attentions
-        self.num_labels = config.num_labels
-        self.bert = ZenModel(config, output_attentions=output_attentions,
-                             keep_multihead_output=keep_multihead_output)
-        self.dropout = nn.Dropout(config.hidden_dropout_prob)
-        self.classifier = nn.Linear(config.hidden_size, config.num_labels)
-        self.init_weights()
-
-    def forward(self, input_ids, token_type_ids=None, attention_mask=None, labels=None, valid_ids=None,
-                attention_mask_label=None, ngram_ids=None, ngram_positions=None, head_mask=None):
-        outputs = self.bert(input_ids, ngram_ids, ngram_positions, token_type_ids, attention_mask,
-                            output_all_encoded_layers=False, head_mask=head_mask)
-        if self.output_attentions:
-            all_attentions, sequence_output, _ = outputs
-        else:
-            sequence_output, _ = outputs
-
-        batch_size, max_len, feat_dim = sequence_output.shape
-        valid_output = torch.zeros(batch_size, max_len, feat_dim, dtype=torch.float32, device=input_ids.device)
-
-        if self.num_labels == 38:
-            # just for POS to filter/mask input_ids=0
-            for i in range(batch_size):
-                temp = sequence_output[i][valid_ids[i] == 1]
-                valid_output[i][:temp.size(0)] = temp
-        else:
-            valid_output = sequence_output
-
-        sequence_output = self.dropout(valid_output)
-        logits = self.classifier(sequence_output)
-
-        loss = None
-        if labels is not None:
-            loss_fct = CrossEntropyLoss(ignore_index=0)
-            # Only keep active parts of the loss
-            attention_mask_label = None
-            if attention_mask_label is not None:
-                active_loss = attention_mask_label.view(-1) == 1
-                active_logits = logits.view(-1, self.num_labels)[active_loss]
-                active_labels = labels.view(-1)[active_loss]
-                loss = loss_fct(active_logits, active_labels)
-            else:
-                loss = loss_fct(logits.view(-1, self.num_labels), labels.view(-1))
-            return loss, logits
-        else:
-            return loss, logits
diff --git a/spaces/sophiamyang/panel_example/Dockerfile b/spaces/sophiamyang/panel_example/Dockerfile
deleted file mode 100644
index 304ad783a433e3e09dc2ab10d751db25bb8cf03a..0000000000000000000000000000000000000000
--- a/spaces/sophiamyang/panel_example/Dockerfile
+++ /dev/null
@@ -1,11 +0,0 @@
-FROM python:3.9
-
-WORKDIR /code
-
-COPY ./requirements.txt /code/requirements.txt
-
-RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
-
-COPY . .
-
-CMD ["panel", "serve", "/code/app.py", "--address", "0.0.0.0", "--port", "7860", "--allow-websocket-origin", "sophiamyang-panel-example.hf.space",  "--allow-websocket-origin", "0.0.0.0:7860"]
\ No newline at end of file
diff --git a/spaces/stamps-labs/stamp2vec/embedding_models/vits8/__init__.py b/spaces/stamps-labs/stamp2vec/embedding_models/vits8/__init__.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/spaces/stomexserde/gpt4-ui/Examples/Champagne I Wanna Go To Hawaii Rar.md b/spaces/stomexserde/gpt4-ui/Examples/Champagne I Wanna Go To Hawaii Rar.md
deleted file mode 100644
index d35f8a36dd85dfa935b65a32c76170912302980c..0000000000000000000000000000000000000000
--- a/spaces/stomexserde/gpt4-ui/Examples/Champagne I Wanna Go To Hawaii Rar.md	
+++ /dev/null
@@ -1,16 +0,0 @@
-<br />
-<h1>Champagne: The Japanese Rock Band That Wants to Go to Hawaii</h1>
-<p>Champagne is a four-piece rock band from Tokyo, Japan, that debuted in 2009. They are known for their energetic and catchy songs that blend pop, rock, and electronic elements. Their third album, <i>I Wanna Go To Hawaii</i>, was released in 2011 and features 11 tracks that showcase their diverse musical influences and styles.</p>
-<p>Some of the highlights of the album include <i>My Blueberry Morning</i>, a cheerful and upbeat song that expresses the joy of waking up to a new day; <i>Rocknrolla!</i>, a fast-paced and rebellious anthem that pays homage to the rock legends of the past; <i>Tic Tac Toe</i>, a playful and funky tune that uses the game as a metaphor for love; and <i>You're So Sweet & I Love You</i>, a romantic and heartfelt ballad that confesses one's feelings to a special someone.</p>
-<h2>Champagne I Wanna Go To Hawaii Rar</h2><br /><p><b><b>Download File</b> &#9733;&#9733;&#9733;&#9733;&#9733; <a href="https://urlgoal.com/2uIc3d">https://urlgoal.com/2uIc3d</a></b></p><br /><br />
-<p>The album also contains some songs that reflect the band's desire to travel and explore new places, such as <i>Underconstruction</i>, which depicts the excitement of building one's dreams; <i>tokyo2pm36floor</i>, which describes the view of the city from a high-rise building; <i>city</i>, which captures the hustle and bustle of urban life; and <i>I Wanna Go To Hawaii</i>, which expresses the longing for a tropical paradise.</p>
-<p>The album is available for download in rar format from various online sources[^1^], such as Nyaa.si, a popular torrent site for anime, manga, music, and other Japanese media. The file size is about 100 MB and the bitrate is 320 kbps. The album is highly recommended for fans of Japanese rock music and anyone who enjoys catchy and upbeat songs.</p>
-
-<p>The band members of Champagne are Yoohei Kawakami (vocals and guitar), Hiroyuki Isobe (bass and backing vocals), Masaki Shirai (guitar), and Ib Riad (drums). They met in college and formed the band in 2007, originally under the name [Champagne]. They changed their name to Alexandros in 2014 to avoid confusion with other artists with similar names[^2^]. They have released seven studio albums, two mini albums, and several singles to date. They have also performed at various music festivals and events, such as Summer Sonic, Rock in Japan, and SXSW. They have also collaborated with other artists, such as OK Go, Tokyo Ska Paradise Orchestra, and Yoko Kanno.</p>
-
-<p>Alexandros' musical style is diverse and eclectic, ranging from pop rock to alternative rock to electronic rock. They are influenced by various artists, such as The Beatles, Oasis, Radiohead, The Strokes, and Daft Punk. They are also known for their witty and humorous lyrics, often incorporating English words and phrases. They have described their music as "a mixture of rock and pop that makes you want to dance".</p>
-<p>One of their most successful songs is <i>Wataridori</i>, which was released in 2015 as the lead single of their fourth album <i>ALXD</i>. The song is a catchy and upbeat rock tune that features a prominent guitar riff and a chorus that repeats the word "wataridori", which means "migratory bird" in Japanese. The song was used as the theme song for the drama series <i>Love Song</i>, starring Masaharu Fukuyama and Sakura Fujiwara. The song peaked at number 3 on the Billboard Japan Hot 100 chart and was certified platinum by the Recording Industry Association of Japan (RIAJ).</p>
-<p>Another notable song is <i>Senko</i>, which was released in 2020 as the theme song for the anime film <i>Mobile Suit Gundam: Hathaway's Flash</i>. The song is a powerful and dramatic rock ballad that expresses the emotions of the protagonist Hathaway Noa, who leads a rebellion against the Earth Federation. The song features orchestral arrangements by Yoko Kanno, a renowned composer who has worked on various anime soundtracks, such as <i>Cowboy Bebop</i>, <i>Ghost in the Shell</i>, and <i>Macross Frontier</i>. The song reached number 2 on the Billboard Japan Hot 100 chart and was certified gold by the RIAJ.</p>
-<p></p> 7196e7f11a<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/stomexserde/gpt4-ui/Examples/Eboot Patch 355 Call Of Duty 4rar.md b/spaces/stomexserde/gpt4-ui/Examples/Eboot Patch 355 Call Of Duty 4rar.md
deleted file mode 100644
index 135cdeea65a950729e674a8038d209534451170d..0000000000000000000000000000000000000000
--- a/spaces/stomexserde/gpt4-ui/Examples/Eboot Patch 355 Call Of Duty 4rar.md	
+++ /dev/null
@@ -1,66 +0,0 @@
-<br />
-```markdown
-<title>How to Use Eboot Patch 355 for Call of Duty 4 on PS3</title>
-
-<h1>How to Use Eboot Patch 355 for Call of Duty 4 on PS3</h1>
-
-<p>If you want to mod Call of Duty 4 on your PS3, you will need to use an Eboot Patch 355 file. This file allows you to bypass the firmware check and run modified fast files on your console. In this article, we will show you how to download and install the Eboot Patch 355 for Call of Duty 4 on PS3.</p>
-
-<h2>What is Eboot Patch 355?</h2>
-
-<p>Eboot Patch 355 is a modified version of the original Eboot file for Call of Duty 4 on PS3. The Eboot file is the executable file that launches the game on your console. By patching it with Eboot Patch 355, you can enable modding features such as custom maps, weapons, perks, and more.</p>
-<h2>Eboot Patch 355 Call Of Duty 4rar</h2><br /><p><b><b>Download Zip</b> &ndash;&ndash;&ndash; <a href="https://urlgoal.com/2uIc7N">https://urlgoal.com/2uIc7N</a></b></p><br /><br />
-
-<p>Eboot Patch 355 works with any version of Call of Duty 4 on PS3, as long as you have the corresponding patch.ff file for your region. The patch.ff file is the fast file that contains the game data and settings. You can find the patch.ff file for your region in the list below[^1^]:</p>
-
-<ul>
-<li>BLES00356</li>
-<li>BLES01013</li>
-<li>BLES01031</li>
-<li>BLES01032</li>
-<li>BLES01033</li>
-<li>BLES01034</li>
-<li>BLES01035</li>
-<li>BLES01105</li>
-<li>BLJM60286</li>
-<li>BLJM60287</li>
-<li>BLJM60536</li>
-<li>BLJM60537</li>
-<li>BLJM61004</li>
-<li>BLJM61005</li>
-<li>BLKS20228</li>
-<li>BLUS30591</li>
-<li>BLUS30625</li>
-<li>BLUS30638</li>
-<li>NPEB00756</li>
-<li>NPUB30584</li>
-</ul>
-
-<h2>How to Download and Install Eboot Patch 355?</h2>
-
-<p>To download and install Eboot Patch 355 for Call of Duty 4 on PS3, you will need a jailbroken console running CFW (custom firmware) 3.55 or higher. You will also need a USB drive formatted to FAT32 and a computer with an internet connection.</p>
-
-<p>Follow these steps to download and install Eboot Patch 355:</p>
-
-<ol>
-<li>Download the Eboot Patch 355 file from <a href="https://trello.com/c/9MER2aUa/54-call-of-duty-4-modern-warfare-eboot-cfw-355-ps3-portable">this link[^3^]</a>.</li>
-<li>Extract the ZIP file and copy the EBOOT.BIN file to your USB drive.</li>
-<li>Connect your USB drive to your PS3 and turn it on.</li>
-<li>Navigate to Multiman or any other file manager on your PS3.</li>
-<li>Browse to /dev_hdd0/game/ and find the folder that matches your region code (e.g. BLUS30591).</li>
-<li>Rename the original EBOOT.BIN file to EBOOT.BIN.bak or move it to another location as a backup.</li>
-<li>Paste the EBOOT.BIN file from your USB drive into the same folder.</li>
-<li>Exit Multiman or file manager and launch Call of Duty 4 from XMB.</li>
-<li>Enjoy modding Call of Duty 4 on your PS3!</li>
-</ol>
-
-<h2>Tips for SEO Optimization and HTML Formatting</h2>
-
-<p>If you want to write articles with SEO optimization and HTML formatting, here are some tips to follow:</p>
-
-<ul>
-<li>Use title tags (<title>) to give each page a unique and descriptive title that matches the search intent of your target audience[^6^]. Keep it under 60 characters and include your main keyword where it makes sense.</li>
-<li>Use heading tags (<h1>, <h2>, etc.) to</p>
-<p></p> 81aa517590<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/studiobrn/SplitTrack/audiocraft/models/lm.py b/spaces/studiobrn/SplitTrack/audiocraft/models/lm.py
deleted file mode 100644
index 43f82b42340dd9e721a3a76fa58e27f70fe2b4e5..0000000000000000000000000000000000000000
--- a/spaces/studiobrn/SplitTrack/audiocraft/models/lm.py
+++ /dev/null
@@ -1,526 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the license found in the
-# LICENSE file in the root directory of this source tree.
-
-from dataclasses import dataclass
-from functools import partial
-import logging
-import math
-import typing as tp
-
-import torch
-from torch import nn
-
-from ..utils import utils
-from ..modules.streaming import StreamingModule, State
-from ..modules.transformer import StreamingTransformer, create_norm_fn
-from ..modules.conditioners import (
-    ConditionFuser,
-    ClassifierFreeGuidanceDropout,
-    AttributeDropout,
-    ConditioningProvider,
-    ConditioningAttributes,
-    ConditionType,
-)
-from ..modules.codebooks_patterns import CodebooksPatternProvider
-from ..modules.activations import get_activation_fn
-
-
-logger = logging.getLogger(__name__)
-ConditionTensors = tp.Dict[str, ConditionType]
-CFGConditions = tp.Union[ConditionTensors, tp.Tuple[ConditionTensors, ConditionTensors]]
-
-
-def get_init_fn(method: str, input_dim: int, init_depth: tp.Optional[int] = None):
-    """LM layer initialization.
-    Inspired from xlformers: https://github.com/fairinternal/xlformers
-
-    Args:
-        method (str): Method name for init function. Valid options are:
-            'gaussian', 'uniform'.
-        input_dim (int): Input dimension of the initialized module.
-        init_depth (Optional[int]): Optional init depth value used to rescale
-            the standard deviation if defined.
-    """
-    # Compute std
-    std = 1 / math.sqrt(input_dim)
-    # Rescale with depth
-    if init_depth is not None:
-        std = std / math.sqrt(2 * init_depth)
-
-    if method == 'gaussian':
-        return partial(
-            torch.nn.init.trunc_normal_, mean=0.0, std=std, a=-3 * std, b=3 * std
-        )
-    elif method == 'uniform':
-        bound = math.sqrt(3) * std  # ensure the standard deviation is `std`
-        return partial(torch.nn.init.uniform_, a=-bound, b=bound)
-    else:
-        raise ValueError("Unsupported layer initialization method")
-
-
-def init_layer(m: nn.Module,
-               method: str,
-               init_depth: tp.Optional[int] = None,
-               zero_bias_init: bool = False):
-    """Wrapper around ``get_init_fn`` for proper initialization of LM modules.
-
-    Args:
-        m (nn.Module): Module to initialize.
-        method (str): Method name for the init function.
-        init_depth (Optional[int]): Optional init depth value used to rescale
-            the standard deviation if defined.
-        zero_bias_init (bool): Whether to initialize the bias to 0 or not.
-    """
-    if isinstance(m, nn.Linear):
-        init_fn = get_init_fn(method, m.in_features, init_depth=init_depth)
-        if m.weight.device.type == 'cpu' and m.weight.dtype == torch.float16:
-            weight = m.weight.float()
-            init_fn(weight)
-            m.weight.data[:] = weight.half()
-        else:
-            init_fn(m.weight)
-        if zero_bias_init and m.bias is not None:
-            nn.init.constant_(m.bias, 0)
-    elif isinstance(m, nn.Embedding):
-        init_fn = get_init_fn(method, m.embedding_dim, init_depth=None)
-        if m.weight.device.type == 'cpu' and m.weight.dtype == torch.float16:
-            weight = m.weight.float()
-            init_fn(weight)
-            m.weight.data[:] = weight.half()
-        else:
-            init_fn(m.weight)
-
-
-class ScaledEmbedding(nn.Embedding):
-    """Boost learning rate for embeddings (with `scale`).
-    """
-    def __init__(self, *args, lr=None, **kwargs):
-        super().__init__(*args, **kwargs)
-        self.lr = lr
-
-    def make_optim_group(self):
-        group = {"params": list(self.parameters())}
-        if self.lr is not None:
-            group["lr"] = self.lr
-        return group
-
-
-@dataclass
-class LMOutput:
-    # The logits are already re-aligned with the input codes
-    # hence no extra shift is required, e.g. when computing CE
-    logits: torch.Tensor  # [B, K, T, card]
-    mask: torch.Tensor  # [B, K, T]
-
-
-class LMModel(StreamingModule):
-    """Transformer-based language model on multiple streams of codes.
-
-    Args:
-        pattern_provider (CodebooksPatternProvider): Pattern provider for codebook interleaving.
-        condition_provider (MusicConditioningProvider): Conditioning provider from metadata.
-        fuser (ConditionFuser): Fuser handling the fusing of conditions with language model input.
-        n_q (int): Number of parallel streams to model.
-        card (int): Cardinality, vocabulary size.
-        dim (int): Dimension of the transformer encoder.
-        num_heads (int): Number of heads for the transformer encoder.
-        hidden_scale (int): Scale for hidden feed forward dimension of the transformer encoder.
-        norm (str): Normalization method.
-        norm_first (bool): Use pre-norm instead of post-norm.
-        emb_lr (Optional[float]): Embedding-specific learning rate.
-        bias_proj (bool): Use bias for output projections.
-        weight_init (Optional[str]): Method for weight initialization.
-        depthwise_init (Optional[str]): Method for depthwise weight initialization.
-        zero_bias_init (bool): If true and bias in Linears, initialize bias to zeros.
-        cfg_dropout (float): Classifier-free guidance dropout.
-        cfg_coef (float): Classifier-free guidance coefficient.
-        attribute_dropout (dict): Attribute dropout probabilities.
-        two_step_cfg (bool): Whether to run classifier free-guidance with 2 distinct steps.
-        **kwargs: Additional parameters for the transformer encoder.
-    """
-    def __init__(self, pattern_provider: CodebooksPatternProvider, condition_provider: ConditioningProvider,
-                 fuser: ConditionFuser, n_q: int = 8, card: int = 1024, dim: int = 128, num_heads: int = 8,
-                 hidden_scale: int = 4, norm: str = 'layer_norm', norm_first: bool = False,
-                 emb_lr: tp.Optional[float] = None, bias_proj: bool = True,
-                 weight_init: tp.Optional[str] = None, depthwise_init: tp.Optional[str] = None,
-                 zero_bias_init: bool = False, cfg_dropout: float = 0, cfg_coef: float = 1.0,
-                 attribute_dropout: tp.Dict[str, tp.Dict[str, float]] = {}, two_step_cfg: bool = False,
-                 **kwargs):
-        super().__init__()
-        self.cfg_coef = cfg_coef
-        self.cfg_dropout = ClassifierFreeGuidanceDropout(p=cfg_dropout)
-        self.att_dropout = AttributeDropout(p=attribute_dropout)
-        self.condition_provider = condition_provider
-        self.fuser = fuser
-        self.card = card
-        embed_dim = self.card + 1
-        self.n_q = n_q
-        self.dim = dim
-        self.pattern_provider = pattern_provider
-        self.two_step_cfg = two_step_cfg
-        self.emb = nn.ModuleList([ScaledEmbedding(embed_dim, dim, lr=emb_lr) for _ in range(n_q)])
-        if 'activation' in kwargs:
-            kwargs['activation'] = get_activation_fn(kwargs['activation'])
-        self.transformer = StreamingTransformer(
-            d_model=dim, num_heads=num_heads, dim_feedforward=int(hidden_scale * dim),
-            norm=norm, norm_first=norm_first, **kwargs)
-        self.out_norm: tp.Optional[nn.Module] = None
-        if norm_first:
-            self.out_norm = create_norm_fn(norm, dim)
-        self.linears = nn.ModuleList([nn.Linear(dim, self.card, bias=bias_proj) for _ in range(n_q)])
-        self._init_weights(weight_init, depthwise_init, zero_bias_init)
-        self._fsdp: tp.Optional[nn.Module]
-        self.__dict__['_fsdp'] = None
-
-    def _init_weights(self, weight_init: tp.Optional[str], depthwise_init: tp.Optional[str], zero_bias_init: bool):
-        """Initialization of the transformer module weights.
-
-        Args:
-            weight_init (Optional[str]): Weight initialization strategy. See ``get_init_fn`` for valid options.
-            depthwise_init (Optional[str]): Depwthwise initialization strategy. The following options are valid:
-                'current' where the depth corresponds to the current layer index or 'global' where the total number
-                of layer is used as depth. If not set, no depthwise initialization strategy is used.
-            zero_bias_init (bool): Whether to initalize bias to zero or not.
-        """
-        assert depthwise_init is None or depthwise_init in ['current', 'global']
-        assert depthwise_init is None or weight_init is not None, \
-            "If 'depthwise_init' is defined, a 'weight_init' method should be provided."
-        assert not zero_bias_init or weight_init is not None, \
-            "If 'zero_bias_init', a 'weight_init' method should be provided"
-
-        if weight_init is None:
-            return
-
-        for emb_layer in self.emb:
-            init_layer(emb_layer, method=weight_init, init_depth=None, zero_bias_init=zero_bias_init)
-
-        for layer_idx, tr_layer in enumerate(self.transformer.layers):
-            depth = None
-            if depthwise_init == 'current':
-                depth = layer_idx + 1
-            elif depthwise_init == 'global':
-                depth = len(self.transformer.layers)
-            init_fn = partial(init_layer, method=weight_init, init_depth=depth, zero_bias_init=zero_bias_init)
-            tr_layer.apply(init_fn)
-
-        for linear in self.linears:
-            init_layer(linear, method=weight_init, init_depth=None, zero_bias_init=zero_bias_init)
-
-    @property
-    def special_token_id(self) -> int:
-        return self.card
-
-    @property
-    def num_codebooks(self) -> int:
-        return self.n_q
-
-    def forward(self, sequence: torch.Tensor,
-                conditions: tp.List[ConditioningAttributes],
-                condition_tensors: tp.Optional[ConditionTensors] = None) -> torch.Tensor:
-        """Apply language model on sequence and conditions.
-        Given a tensor of sequence of shape [B, K, S] with K the number of codebooks and
-        S the sequence steps, return the logits with shape [B, card, K, S].
-
-        Args:
-            indices (torch.Tensor): indices of the codes to model.
-            conditions (list[ConditioningAttributes]): conditionings to use when modeling
-                the given codes. Note that when evaluating multiple time with the same conditioning
-                you should pre-compute those and pass them as `condition_tensors`.
-            condition_tensors (dict[str, ConditionType] or None): pre-computed conditioning
-                tensors, see `conditions`.
-        Returns:
-            torch.Tensor: Logits.
-        """
-        B, K, S = sequence.shape
-        assert K == self.num_codebooks, 'Sequence shape must match the specified number of codebooks'
-        input_ = sum([self.emb[k](sequence[:, k]) for k in range(K)])
-        if condition_tensors is None:
-            assert not self._is_streaming, "Conditions tensors should be precomputed when streaming."
-            # apply dropout modules
-            conditions = self.cfg_dropout(conditions)
-            conditions = self.att_dropout(conditions)
-            tokenized = self.condition_provider.tokenize(conditions)
-            # encode conditions and fuse, both have a streaming cache to not recompute when generating.
-            condition_tensors = self.condition_provider(tokenized)
-        else:
-            assert not conditions, "Shouldn't pass both conditions and condition_tensors."
-
-        input_, cross_attention_input = self.fuser(input_, condition_tensors)
-
-        out = self.transformer(input_, cross_attention_src=cross_attention_input)
-        if self.out_norm:
-            out = self.out_norm(out)
-        logits = torch.stack([self.linears[k](out) for k in range(K)], dim=1)  # [B, K, S, card]
-
-        # remove the prefix from the model outputs
-        if len(self.fuser.fuse2cond['prepend']) > 0:
-            logits = logits[:, :, -S:]
-
-        return logits  # [B, K, S, card]
-
-    def compute_predictions(
-            self, codes: torch.Tensor,
-            conditions: tp.List[ConditioningAttributes],
-            condition_tensors: tp.Optional[ConditionTensors] = None) -> LMOutput:
-        """Given an input tensor of codes [B, K, T] and list of conditions, runs the model
-        forward using the specified codes interleaving pattern.
-
-        Args:
-            codes (torch.Tensor): Input codes of shape [B, K, T] with B the batch size,
-                K the number of codebooks and T the number of timesteps.
-            conditions (list[ConditioningAttributes]): conditionings to use when modeling
-                the given codes. Note that when evaluating multiple time with the same conditioning
-                you should pre-compute those and pass them as `condition_tensors`.
-            condition_tensors (dict[str, ConditionType] or None): pre-computed conditioning
-                tensors, see `conditions`.
-        Returns:
-            LMOutput: Language model outputs
-                logits (torch.Tensor) of shape [B, K, T, card] corresponding to the provided codes,
-                    i.e. the first item corresponds to logits to predict the first code, meaning that
-                    no additional shifting of codes and logits is required.
-                mask (torch.Tensor) of shape [B, K, T], mask over valid and invalid positions.
-                    Given the specified interleaving strategies, parts of the logits and codes should
-                    not be considered as valid predictions because of invalid context.
-        """
-        B, K, T = codes.shape
-        codes = codes.contiguous()
-        # map codes [B, K, T] into pattern sequence [B, K, S] using special_token_id for masked tokens
-        pattern = self.pattern_provider.get_pattern(T)
-        sequence_codes, sequence_indexes, sequence_mask = pattern.build_pattern_sequence(
-            codes, self.special_token_id, keep_only_valid_steps=True
-        )
-        # apply model on pattern sequence
-        model = self if self._fsdp is None else self._fsdp
-        logits = model(sequence_codes, conditions, condition_tensors)  # [B, K, S, card]
-        # map back the logits on pattern sequence to logits on original codes: [B, K, S, card] -> [B, K, T, card]
-        # and provide the corresponding mask over invalid positions of tokens
-        logits = logits.permute(0, 3, 1, 2)  # [B, card, K, S]
-        # note: we use nans as special token to make it obvious if we feed unexpected logits
-        logits, logits_indexes, logits_mask = pattern.revert_pattern_logits(
-            logits, float('nan'), keep_only_valid_steps=True
-        )
-        logits = logits.permute(0, 2, 3, 1)  # [B, K, T, card]
-        logits_mask = logits_mask[None, :, :].expand(B, -1, -1)  # [K, T] -> [B, K, T]
-        return LMOutput(logits, logits_mask)
-
-    def _sample_next_token(self,
-                           sequence: torch.Tensor,
-                           cfg_conditions: CFGConditions,
-                           unconditional_state: State,
-                           use_sampling: bool = False,
-                           temp: float = 1.0,
-                           top_k: int = 0,
-                           top_p: float = 0.0,
-                           cfg_coef: tp.Optional[float] = None) -> torch.Tensor:
-        """Sample next token from the model given a sequence and a set of conditions. The model supports
-        multiple sampling strategies (greedy sampling, softmax, top-k, top-p...).
-
-        Args:
-            sequence (torch.Tensor): Current sequence of shape [B, K, S]
-                with K corresponding to the number of codebooks and S the number of sequence steps.
-                S = 1 in streaming mode, except for the first step that contains a bigger prompt.
-            condition_tensors (Dict[str, ConditionType): Set of conditions. If CFG is used,
-                should be twice the batch size, being the concatenation of the conditions + null conditions.
-            use_sampling (bool): Whether to use a sampling strategy or not.
-            temp (float): Sampling temperature.
-            top_k (int): K for "top-k" sampling.
-            top_p (float): P for "top-p" sampling.
-            cfg_coef (float): classifier free guidance coefficient
-        Returns:
-            next_token (torch.Tensor): Next token tensor of shape [B, K, 1].
-        """
-        B = sequence.shape[0]
-        cfg_coef = self.cfg_coef if cfg_coef is None else cfg_coef
-        model = self if self._fsdp is None else self._fsdp
-        if self.two_step_cfg and cfg_conditions != {}:
-            assert isinstance(cfg_conditions, tuple)
-            condition_tensors, null_condition_tensors = cfg_conditions
-            cond_logits = model(sequence, conditions=[], condition_tensors=condition_tensors)
-            state = self.get_streaming_state()
-            self.set_streaming_state(unconditional_state)
-            uncond_logits = model(sequence, conditions=[], condition_tensors=null_condition_tensors)
-            unconditional_state.update(self.get_streaming_state())
-            self.set_streaming_state(state)
-            logits = uncond_logits + (cond_logits - uncond_logits) * self.cfg_coef
-        else:
-            assert isinstance(cfg_conditions, dict)
-            condition_tensors = cfg_conditions
-            if condition_tensors:
-                # Preparing for CFG, predicting both conditional and unconditional logits.
-                sequence = torch.cat([sequence, sequence], dim=0)
-            all_logits = model(
-                sequence,
-                conditions=[], condition_tensors=condition_tensors)
-            if condition_tensors:
-                cond_logits, uncond_logits = all_logits.split(B, dim=0)  # [B, K, T, card]
-                logits = uncond_logits + (cond_logits - uncond_logits) * cfg_coef
-            else:
-                logits = all_logits
-
-        logits = logits.permute(0, 1, 3, 2)  # [B, K, card, T]
-        logits = logits[..., -1]  # [B x K x card]
-
-        if use_sampling:
-            probs = torch.softmax(logits / temp, dim=-1)
-            if top_p > 0.0:
-                next_token = utils.sample_top_p(probs, p=top_p)
-            elif top_k > 0:
-                next_token = utils.sample_top_k(probs, k=top_k)
-            else:
-                next_token = utils.multinomial(probs, num_samples=1)
-        else:
-            next_token = torch.argmax(logits, dim=-1, keepdim=True)
-
-        return next_token
-
-    @torch.no_grad()
-    def generate(self,
-                 prompt: tp.Optional[torch.Tensor] = None,
-                 conditions: tp.List[ConditioningAttributes] = [],
-                 num_samples: tp.Optional[int] = None,
-                 max_gen_len: int = 256,
-                 use_sampling: bool = True,
-                 temp: float = 1.0,
-                 top_k: int = 250,
-                 top_p: float = 0.0,
-                 cfg_coef: tp.Optional[float] = None,
-                 two_step_cfg: bool = False,
-                 remove_prompts: bool = False,
-                 check: bool = False,
-                 callback: tp.Optional[tp.Callable[[int, int], None]] = None) -> torch.Tensor:
-        """Generate tokens sampling from the model given a prompt or unconditionally. Generation can
-        be perform in a greedy fashion or using sampling with top K and top P strategies.
-
-        Args:
-            prompt (Optional[torch.Tensor]): Prompt tokens of shape [B, K, T].
-            conditions_tensors (Dict[str, torch.Tensor]): Set of conditions or None.
-            num_samples (int or None): Number of samples to generate when no prompt and no conditions are given.
-            max_gen_len (int): Maximum generation length.
-            use_sampling (bool): Whether to use a sampling strategy or not.
-            temp (float): Sampling temperature.
-            top_k (int): K for "top-k" sampling.
-            top_p (float): P for "top-p" sampling.
-            remove_prompts (bool): Whether to remove prompts from generation or not.
-        Returns:
-            torch.Tensor: Generated tokens.
-        """
-        assert not self.training, "generation shouldn't be used in training mode."
-        first_param = next(iter(self.parameters()))
-        device = first_param.device
-
-        # Checking all input shapes are consistents.
-        possible_num_samples = []
-        if num_samples is not None:
-            possible_num_samples.append(num_samples)
-        elif prompt is not None:
-            possible_num_samples.append(prompt.shape[0])
-        elif conditions:
-            possible_num_samples.append(len(conditions))
-        else:
-            possible_num_samples.append(1)
-        assert [x == possible_num_samples[0] for x in possible_num_samples], "Inconsitent inputs shapes"
-        num_samples = possible_num_samples[0]
-
-        # below we create set of conditions: one conditional and one unconditional
-        # to do that we merge the regular condition together with the null condition
-        # we then do 1 forward pass instead of 2.
-        # the reason for that is two-fold:
-        # 1. it is about x2 faster than doing 2 forward passes
-        # 2. avoid the streaming API treating the 2 passes as part of different time steps
-        # We also support doing two different passes, in particular to ensure that
-        # the padding structure is exactly the same between train anf test.
-        # With a batch size of 1, this can be slower though.
-        cfg_conditions: CFGConditions
-        two_step_cfg = self.two_step_cfg if two_step_cfg is None else two_step_cfg
-        if conditions:
-            null_conditions = ClassifierFreeGuidanceDropout(p=1.0)(conditions)
-            if two_step_cfg:
-                cfg_conditions = (
-                    self.condition_provider(self.condition_provider.tokenize(conditions)),
-                    self.condition_provider(self.condition_provider.tokenize(null_conditions)),
-                )
-            else:
-                conditions = conditions + null_conditions
-                tokenized = self.condition_provider.tokenize(conditions)
-                cfg_conditions = self.condition_provider(tokenized)
-        else:
-            cfg_conditions = {}
-
-        if prompt is None:
-            assert num_samples > 0
-            prompt = torch.zeros((num_samples, self.num_codebooks, 0), dtype=torch.long, device=device)
-
-        B, K, T = prompt.shape
-        start_offset = T
-        assert start_offset < max_gen_len
-
-        pattern = self.pattern_provider.get_pattern(max_gen_len)
-        # this token is used as default value for codes that are not generated yet
-        unknown_token = -1
-
-        # we generate codes up to the max_gen_len that will be mapped to the pattern sequence
-        gen_codes = torch.full((B, K, max_gen_len), unknown_token, dtype=torch.long, device=device)
-        # filling the gen_codes with the prompt if needed
-        gen_codes[..., :start_offset] = prompt
-        # create the gen_sequence with proper interleaving from the pattern: [B, K, S]
-        gen_sequence, indexes, mask = pattern.build_pattern_sequence(gen_codes, self.special_token_id)
-        # retrieve the start_offset in the sequence:
-        # it is the first sequence step that contains the `start_offset` timestep
-        start_offset_sequence = pattern.get_first_step_with_timesteps(start_offset)
-        assert start_offset_sequence is not None
-
-        with self.streaming():
-            unconditional_state = self.get_streaming_state()
-            prev_offset = 0
-            gen_sequence_len = gen_sequence.shape[-1]  # gen_sequence shape is [B, K, S]
-            for offset in range(start_offset_sequence, gen_sequence_len):
-                # get current sequence (note that the streaming API is providing the caching over previous offsets)
-                curr_sequence = gen_sequence[..., prev_offset:offset]
-                curr_mask = mask[None, ..., prev_offset:offset].expand(B, -1, -1)
-                if check:
-                    # check coherence between mask and sequence
-                    assert (curr_sequence == torch.where(curr_mask, curr_sequence, self.special_token_id)).all()
-                    # should never happen as gen_sequence is filled progressively
-                    assert not (curr_sequence == unknown_token).any()
-                # sample next token from the model, next token shape is [B, K, 1]
-                next_token = self._sample_next_token(
-                    curr_sequence, cfg_conditions, unconditional_state, use_sampling, temp, top_k, top_p,
-                    cfg_coef=cfg_coef)
-                # ensure the tokens that should be masked are properly set to special_token_id
-                # as the model never output special_token_id
-                valid_mask = mask[..., offset:offset+1].expand(B, -1, -1)
-                next_token[~valid_mask] = self.special_token_id
-                # ensure we don't overwrite prompt tokens, we only write over unknown tokens
-                # (then mask tokens should be left as is as well, which is correct)
-                gen_sequence[..., offset:offset+1] = torch.where(
-                    gen_sequence[..., offset:offset+1] == unknown_token,
-                    next_token, gen_sequence[..., offset:offset+1]
-                )
-                prev_offset = offset
-                if callback is not None:
-                    callback(1 + offset - start_offset_sequence, gen_sequence_len - start_offset_sequence)
-        unconditional_state.clear()
-
-        # ensure sequence has been entirely filled
-        assert not (gen_sequence == unknown_token).any()
-        # ensure gen_sequence pattern and mask are matching
-        # which means the gen_sequence is valid according to the pattern
-        assert (
-            gen_sequence == torch.where(mask[None, ...].expand(B, -1, -1), gen_sequence, self.special_token_id)
-        ).all()
-        # get back the codes, trimming the prompt if needed and cutting potentially incomplete timesteps
-        out_codes, out_indexes, out_mask = pattern.revert_pattern_sequence(gen_sequence, special_token=unknown_token)
-
-        # sanity checks over the returned codes and corresponding masks
-        assert (out_codes[..., :max_gen_len] != unknown_token).all()
-        assert (out_mask[..., :max_gen_len] == 1).all()
-
-        out_start_offset = start_offset if remove_prompts else 0
-        out_codes = out_codes[..., out_start_offset:max_gen_len]
-
-        # ensure the returned codes are all valid
-        assert (out_codes >= 0).all() and (out_codes <= self.card).all()
-        return out_codes
diff --git a/spaces/sub314xxl/MetaGPT/metagpt/static/assets/login-bb708d78.js b/spaces/sub314xxl/MetaGPT/metagpt/static/assets/login-bb708d78.js
deleted file mode 100644
index 1fd761f98a91d02771b69c80e06fe5442978d9ca..0000000000000000000000000000000000000000
--- a/spaces/sub314xxl/MetaGPT/metagpt/static/assets/login-bb708d78.js
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/spaces/suppsumstagza/text-to-image-stable-diffusion-v1-5/scripts/Bolder Sounds Bluegrass Banjo.md b/spaces/suppsumstagza/text-to-image-stable-diffusion-v1-5/scripts/Bolder Sounds Bluegrass Banjo.md
deleted file mode 100644
index dc5c1444d2737199e86deefb10b351556adfe9f0..0000000000000000000000000000000000000000
--- a/spaces/suppsumstagza/text-to-image-stable-diffusion-v1-5/scripts/Bolder Sounds Bluegrass Banjo.md	
+++ /dev/null
@@ -1,123 +0,0 @@
-<br />
-<h1>Bolder Sounds Bluegrass Banjo: A Sample Library for Kontakt 4+</h1>
-
-<p>If you are looking for a sample library that can provide you with realistic and authentic banjo sounds, you should check out Bolder Sounds Bluegrass Banjo. This sample library is designed for the NI Kontakt 4+ software sampler, and it features a 5-string banjo that has the classic warm tone associated with pre-war banjos as well as an instrument with plenty of punch to cut through a mix. Whether you are playing bluegrass, folk, country, or any other genre that requires a banjo sound, Bolder Sounds Bluegrass Banjo will deliver.</p>
-
-<h2>What is Bolder Sounds Bluegrass Banjo?</h2>
-
-<p>Bolder Sounds Bluegrass Banjo is a sample library that was created by Bolder Sounds, a company that has been producing creative sampler libraries since 1990. Bolder Sounds Bluegrass Banjo is the third version of their popular banjo sample library, and it comes with many new features and improvements that make it an even more effective and versatile library.</p>
-<h2>Bolder Sounds Bluegrass Banjo</h2><br /><p><b><b>Download</b> &#10042;&#10042;&#10042; <a href="https://cinurl.com/2uEY2I">https://cinurl.com/2uEY2I</a></b></p><br /><br />
-
-<p>Bolder Sounds Bluegrass Banjo is based on a 5-string banjo that was sampled chromatically up to the 17th fret. The first string was sampled beyond the 17th fret. All the strings are sampled on 5 different pluck positions of the banjo, which can be selected via key switches or via a very advanced pluck position velocity selection system. You can freely adjust at what velocity level the different positions will be selected and make any kind of position combinations. All the settings can be saved as presets.</p>
-
-<p>Bolder Sounds Bluegrass Banjo also includes various articulations, such as hammer-on and pull-off, half step and whole step slide, harmonic and Scruggs D-Tuner bends. All with 2 x independent round-robin per key. You can also use the Scruggs-Keith tuner mechanism samples to create realistic tuning effects.</p>
-
-<p>Bolder Sounds Bluegrass Banjo also includes 379 MIDI files to help you build realistic banjo arpeggios and chords. You can also use the banjo resonance feature, which is an impulse response made from the banjo head, to add more depth and realism to your sounds.</p>
-<p></p>
-
-<h2>What are the main features of Bolder Sounds Bluegrass Banjo?</h2>
-
-<p>Bolder Sounds Bluegrass Banjo has many features that make it a powerful and flexible sample library. Here are some of them:</p>
-
-<ul>
-<li>5-string banjo with warm and punchy tone.</li>
-<li>5 pluck positions per string with adjustable velocity selection system.</li>
-<li>Various articulations with round-robin and key switches.</li>
-<li>Scruggs-Keith tuner mechanism samples.</li>
-<li>379 MIDI files for arpeggios and chords.</li>
-<li>Banjo resonance via impulse response.</li>
-<li>Low CPU usage and easy to use interface.</li>
-<li>Large library of presets that cover various genres and styles.</li>
-</ul>
-
-<h2>What are the benefits of using Bolder Sounds Bluegrass Banjo?</h2>
-
-<p>Bolder Sounds Bluegrass Banjo is a sample library that can offer you many benefits for your music production. Here are some of them:</p>
-
-<ul>
-<li>You can create realistic and authentic banjo sounds that are suitable for many genres and styles.</li>
-<li>You can explore different pluck positions and articulations to create dynamic and expressive sounds.</li>
-<li>You can tweak your sounds easily with the intuitive interface and the MIDI files.</li>
-<li>You can save CPU resources with the low CPU usage of the sample library.</li>
-<li>You can access a large library of presets that are ready to use or customize.</li>
-</ul>
-
-<h2>How to get Bolder Sounds Bluegrass Banjo?</h2>
-
-<p>If you are interested in getting Bolder Sounds Bluegrass Banjo, you can visit the official website of Bolder Sounds at https://www.boldersounds.com/. There you can download a demo version with audio dropouts or buy the full version for $47.96 USD (20% off from $59.95 USD).</p>
-
-<p>Bolder Sounds Bluegrass Banjo is a sample library that will inspire you to create amazing banjo sounds for your music projects. Whether you want to emulate the classic sound of pre-war banjos or experiment with new possibilities, Bolder Sounds Bluegrass Banjo will deliver.</p>
-
-<p>Don't miss this opportunity to get this powerful and flexible sample library today!</p>
-<h2>How to use Bolder Sounds Bluegrass Banjo?</h2>
-
-<p>Bolder Sounds Bluegrass Banjo is easy to use and compatible with most DAWs that support VST plugins. You can install it by following these steps:</p>
-
-<ol>
-<li>Download the zip file from the official website and extract it to a folder of your choice.</li>
-<li>Copy the dll file and the presets folder to your VST plugins folder.</li>
-<li>Launch your DAW and scan for new plugins.</li>
-<li>Load Bolder Sounds Bluegrass Banjo as an instrument track and start playing.</li>
-</ol>
-
-<p>You can also use the MIDI files that are included in the sample library to create realistic banjo arpeggios and chords. You can drag and drop them to your DAW or use them as a reference for your own compositions.</p>
-
-<h2>What are some tips and tricks for Bolder Sounds Bluegrass Banjo?</h2>
-
-<p>Bolder Sounds Bluegrass Banjo is a sample library that offers a lot of possibilities for sound design and experimentation. Here are some tips and tricks that can help you get the most out of it:</p>
-
-<ul>
-<li>Use the pluck position velocity selection system to create smooth transitions between different pluck positions. You can also automate the pluck position with an envelope or an LFO.</li>
-<li>Use the Scruggs-Keith tuner mechanism samples to create realistic tuning effects. You can also modulate them with an envelope or an LFO.</li>
-<li>Use the banjo resonance feature to add more depth and realism to your sounds. You can also adjust the resonance level and decay time.</li>
-<li>Use the vintage knob to add some analog character and drift to your sounds. It will vary the time, pulse width, and cutoff of each voice randomly.</li>
-<li>Use the presets that are included in the sample library to get inspired or customize them to your liking.</li>
-</ul>
-
-<h2>Why should you choose Bolder Sounds Bluegrass Banjo?</h2>
-
-<p>Bolder Sounds Bluegrass Banjo is a sample library that can satisfy both your nostalgic and creative needs. It can emulate the classic sound of pre-war banjos, but also offer new and innovative features that make it unique and versatile. It is also easy to use, low on CPU, and comes with a large library of presets that cover various genres and styles.</p>
-
-<p>If you are looking for a sample library that can give you both vintage and modern banjo sounds, Bolder Sounds Bluegrass Banjo is a great choice. It is a sample library that will inspire you to create amazing banjo sounds for your music projects.</p>
-
-<p>Don't miss this opportunity to get this powerful and flexible sample library today!</p>
-<h2>What are some examples of music that you can create with Bolder Sounds Bluegrass Banjo?</h2>
-
-<p>Bolder Sounds Bluegrass Banjo is a sample library that can create a wide range of music, from classic bluegrass to modern folk. Here are some examples of music that you can create with Bolder Sounds Bluegrass Banjo:</p>
-
-<ul>
-<li>Bluegrass: You can create authentic bluegrass music with the banjo as the main instrument. You can use the presets that are inspired by famous bluegrass players such as Earl Scruggs, Bela Fleck, and Tony Trischka. You can also use the MIDI files that are based on traditional bluegrass songs and patterns.</li>
-<li>Folk: You can create modern folk music with the banjo as a complementary instrument. You can use the presets that are more subtle and mellow, such as the pluck position 5 or the harmonic articulation. You can also use the MIDI files that are more melodic and expressive.</li>
-<li>Country: You can create classic country music with the banjo as a supporting instrument. You can use the presets that are bright and punchy, such as the pluck position 1 or the slide articulation. You can also use the MIDI files that are more rhythmic and catchy.</li>
-<li>Other genres: You can also create music in other genres that can benefit from a banjo sound, such as rock, pop, jazz, or even classical. You can use the presets that are more versatile and creative, such as the phase modulation or the ring modulation functions. You can also use the MIDI files that are more experimental and original.</li>
-</ul>
-
-<h2>What are some reviews of Bolder Sounds Bluegrass Banjo?</h2>
-
-<p>Bolder Sounds Bluegrass Banjo is a sample library that has received positive feedback from many users and reviewers. Here are some reviews of Bolder Sounds Bluegrass Banjo:</p>
-
-<blockquote>
-<p>"Bolder Sounds Bluegrass Banjo is a fantastic sample library that captures the essence of the banjo, but also adds some unique features that make it more versatile and fun to use. It sounds great, it's easy to use, and it's very affordable. I highly recommend it to anyone who loves banjo sounds."</p>
-<cite>- A user from KVR Audio</cite>
-</blockquote>
-
-<blockquote>
-<p>"Bolder Sounds Bluegrass Banjo is a sample library that offers a lot of possibilities for sound design and experimentation. It has three morphing oscillators that can create complex and dynamic sounds, and a phase modulation function that can create metallic and bell-like tones. It also has a ring modulation function that can produce harsh and distorted sounds."</p>
-<cite>- A reviewer from AUDIOTOOLS</cite>
-</blockquote>
-
-<blockquote>
-<p>"Bolder Sounds Bluegrass Banjo is a sample library that delivers both vintage and modern banjo sounds. It can emulate the classic sound of pre-war banjos, but also offer new and innovative features that make it unique and versatile. It is also low on CPU, comes with a large library of presets, and has a custom-built controller that mimics the layout of the banjo."</p>
-<cite>- A reviewer from Synth Anatomy</cite>
-</blockquote>
-
-<h2>Conclusion</h2>
-
-<p>Bolder Sounds Bluegrass Banjo is a sample library that will inspire you to create amazing banjo sounds for your music projects. Whether you want to emulate the classic sound of pre-war banjos or experiment with new possibilities, Bolder Sounds Bluegrass Banjo will deliver.</p>
-
-<p>Don't miss this opportunity to get this powerful and flexible sample library today!</p>
-<p>Bolder Sounds Bluegrass Banjo is a sample library that will inspire you to create amazing banjo sounds for your music projects. Whether you want to emulate the classic sound of pre-war banjos or experiment with new possibilities, Bolder Sounds Bluegrass Banjo will deliver.</p>
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-<p>Don't miss this opportunity to get this powerful and flexible sample library today!</p> 3cee63e6c2<br />
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diff --git a/spaces/surmensipa/VITS-Umamusume-voice-synthesizer/logs/Agarest Generations Of War DLC Bundle 2 ((EXCLUSIVE)) Download For Pc [full Version].md b/spaces/surmensipa/VITS-Umamusume-voice-synthesizer/logs/Agarest Generations Of War DLC Bundle 2 ((EXCLUSIVE)) Download For Pc [full Version].md
deleted file mode 100644
index 9559cf60fe455c6cb665c8c410e589310de31f7f..0000000000000000000000000000000000000000
--- a/spaces/surmensipa/VITS-Umamusume-voice-synthesizer/logs/Agarest Generations Of War DLC Bundle 2 ((EXCLUSIVE)) Download For Pc [full Version].md	
+++ /dev/null
@@ -1,42 +0,0 @@
-
-<h1>How to Download and Install Agarest: Generations Of War DLC Bundle 2 for PC</h1>
-<p>Agarest: Generations Of War is a popular epic strategy role-playing game series that spans multiple generations of characters and storylines. The game features a unique system where the choices you make affect the traits and appearance of your offspring, as well as the outcome of the war between light and darkness.</p>
-<p>If you are a fan of Agarest: Generations Of War and want to experience more content and features, you might be interested in downloading the DLC Bundle 2, which contains several items and packs that enhance your gameplay. Here is how you can download and install Agarest: Generations Of War DLC Bundle 2 for PC:</p>
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-<ol>
-<li>First, you need to have the base game Agarest: Generations Of War installed on your PC. You can buy it from Steam or other online platforms.</li>
-<li>Next, you need to buy the DLC Bundle 2 from Steam or other online platforms. The DLC Bundle 2 costs $4.99 and includes the following items:
-<ul>
-<li>F-Fishy! Pack 1 and 2: These packs contain various claws and fangs that can be used as materials or weapons.</li>
-<li>Secret-Society Pack: This pack contains a rage blaster, a destroy, and a mighty ring, which are powerful equipments for your characters.</li>
-<li>Ultimate Equipment Pack: This pack contains a zefalon, a rod of omniscience, a wind of carillon, and a dragon frame, which are some of the best equipments in the game.</li>
-<li>Additional-Points Pack 2: This pack gives you 100,000G, 5,000EP, 250PP and 500TP, which are useful for upgrading your characters and skills.</li>
-<li>Rebellious Pack: This pack contains a holy spear haken meteor, a rebellion, a core elemental, and an aegis, which are also very strong equipments for your characters.</li>
-</ul>
-</li>
-<li>After you buy the DLC Bundle 2, you need to download it from Steam or other online platforms. The download size is about 1 GB.</li>
-<li>Once the download is complete, you need to install the DLC Bundle 2 on your PC. You can do this by launching Steam or other online platforms and following the instructions.</li>
-<li>Finally, you can enjoy playing Agarest: Generations Of War with the DLC Bundle 2 installed. You can access the DLC items from the item shop or the inventory menu in the game.</li>
-</ol>
-<p>We hope this guide helped you download and install Agarest: Generations Of War DLC Bundle 2 for PC. Have fun playing this epic strategy role-playing game with more content and features!</p>
-
-<h2>What are the benefits of Agarest: Generations Of War DLC Bundle 2?</h2>
-<p>Agarest: Generations Of War DLC Bundle 2 is a great way to enhance your Agarest: Generations Of War experience with more items, equipments, and points. The DLC Bundle 2 offers you the following benefits:</p>
-<ul>
-<li>You can get access to some of the most powerful and rare equipments in the game, such as the holy spear haken meteor, the zefalon, and the dragon frame. These equipments can boost your stats, skills, and abilities significantly.</li>
-<li>You can get more materials and elements that can be used for crafting, upgrading, or synthesizing new items and equipments. You can also get more claws and fangs that can be used as weapons or sold for money.</li>
-<li>You can get more gold, experience points, party points, and technical points that can help you level up faster, unlock more skills and abilities, and customize your characters more freely.</li>
-<li>You can save time and effort by getting these items and points without having to grind or farm them in the game. You can also skip some of the harder battles or challenges by using these items and points.</li>
-</ul>
-<h2>What are the drawbacks of Agarest: Generations Of War DLC Bundle 2?</h2>
-<p>Agarest: Generations Of War DLC Bundle 2 is not without its drawbacks, however. The DLC Bundle 2 has some potential disadvantages that you should be aware of:</p>
-<ul>
-<li>You might lose some of the challenge and fun of the game by using these items and points. The game might become too easy or boring for you if you rely on these items and points too much.</li>
-<li>You might miss some of the content and features of the game by using these items and points. The game might have some hidden secrets or rewards that you can only discover by playing the game normally.</li>
-<li>You might feel like you are cheating or not playing fair by using these items and points. The game might lose some of its appeal or satisfaction for you if you use these items and points excessively.</li>
-<li>You might have to pay extra money for these items and points. The DLC Bundle 2 costs $4.99, which is not a lot, but still an additional expense that you might not want to spend.</li>
-</ul>
-<h2>Is Agarest: Generations Of War DLC Bundle 2 worth buying?</h2>
-<p>The answer to this question depends on your personal preference and play style. Agarest: Generations Of War DLC Bundle 2 can be a useful and convenient way to enjoy more of Agarest: Generations Of War with less hassle and more power. However, it can also be a unnecessary and detrimental way to ruin your Agarest: Generations Of War experience with less challenge and more cheating. Ultimately, it is up to you to decide whether you want to buy Agarest: Generations Of War DLC Bundle 2 or not.</p> d5da3c52bf<br />
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-<br />
\ No newline at end of file
diff --git a/spaces/surmensipa/VITS-Umamusume-voice-synthesizer/logs/Agneepath 2 Download 720p Movie TOP.md b/spaces/surmensipa/VITS-Umamusume-voice-synthesizer/logs/Agneepath 2 Download 720p Movie TOP.md
deleted file mode 100644
index 45aef934206c40a3034dbbcb0b3ccc319f71676f..0000000000000000000000000000000000000000
--- a/spaces/surmensipa/VITS-Umamusume-voice-synthesizer/logs/Agneepath 2 Download 720p Movie TOP.md	
+++ /dev/null
@@ -1,6 +0,0 @@
-<h2>Agneepath 2 download 720p movie</h2><br /><p><b><b>Download File</b> &rarr;&rarr;&rarr; <a href="https://urluss.com/2uCDKT">https://urluss.com/2uCDKT</a></b></p><br /><br />
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diff --git a/spaces/svjack/ControlNet-Pose-Chinese/annotator/uniformer/mmseg/models/utils/weight_init.py b/spaces/svjack/ControlNet-Pose-Chinese/annotator/uniformer/mmseg/models/utils/weight_init.py
deleted file mode 100644
index 38141ba3d61f64ddfc0a31574b4648cbad96d7dd..0000000000000000000000000000000000000000
--- a/spaces/svjack/ControlNet-Pose-Chinese/annotator/uniformer/mmseg/models/utils/weight_init.py
+++ /dev/null
@@ -1,62 +0,0 @@
-"""Modified from https://github.com/rwightman/pytorch-image-
-models/blob/master/timm/models/layers/drop.py."""
-
-import math
-import warnings
-
-import torch
-
-
-def _no_grad_trunc_normal_(tensor, mean, std, a, b):
-    """Reference: https://people.sc.fsu.edu/~jburkardt/presentations
-    /truncated_normal.pdf"""
-
-    def norm_cdf(x):
-        # Computes standard normal cumulative distribution function
-        return (1. + math.erf(x / math.sqrt(2.))) / 2.
-
-    if (mean < a - 2 * std) or (mean > b + 2 * std):
-        warnings.warn(
-            'mean is more than 2 std from [a, b] in nn.init.trunc_normal_. '
-            'The distribution of values may be incorrect.',
-            stacklevel=2)
-
-    with torch.no_grad():
-        # Values are generated by using a truncated uniform distribution and
-        # then using the inverse CDF for the normal distribution.
-        # Get upper and lower cdf values
-        lower_bound = norm_cdf((a - mean) / std)
-        upper_bound = norm_cdf((b - mean) / std)
-
-        # Uniformly fill tensor with values from [l, u], then translate to
-        # [2l-1, 2u-1].
-        tensor.uniform_(2 * lower_bound - 1, 2 * upper_bound - 1)
-
-        # Use inverse cdf transform for normal distribution to get truncated
-        # standard normal
-        tensor.erfinv_()
-
-        # Transform to proper mean, std
-        tensor.mul_(std * math.sqrt(2.))
-        tensor.add_(mean)
-
-        # Clamp to ensure it's in the proper range
-        tensor.clamp_(min=a, max=b)
-        return tensor
-
-
-def trunc_normal_(tensor, mean=0., std=1., a=-2., b=2.):
-    r"""Fills the input Tensor with values drawn from a truncated
-    normal distribution. The values are effectively drawn from the
-    normal distribution :math:`\mathcal{N}(\text{mean}, \text{std}^2)`
-    with values outside :math:`[a, b]` redrawn until they are within
-    the bounds. The method used for generating the random values works
-    best when :math:`a \leq \text{mean} \leq b`.
-    Args:
-        tensor (``torch.Tensor``): an n-dimensional `torch.Tensor`
-        mean (float): the mean of the normal distribution
-        std (float): the standard deviation of the normal distribution
-        a (float): the minimum cutoff value
-        b (float): the maximum cutoff value
-    """
-    return _no_grad_trunc_normal_(tensor, mean, std, a, b)
diff --git a/spaces/terfces0erbo/CollegeProjectV2/2611 Attacks Movie Download Free.md b/spaces/terfces0erbo/CollegeProjectV2/2611 Attacks Movie Download Free.md
deleted file mode 100644
index b7b88db5656f603b8d77a62b30c801fa460a2900..0000000000000000000000000000000000000000
--- a/spaces/terfces0erbo/CollegeProjectV2/2611 Attacks Movie Download Free.md	
+++ /dev/null
@@ -1,73 +0,0 @@
-
-<h1>2611 Attacks Movie Download Free - How to Watch the Thrilling and True Story of Mumbai Terror Attacks</h1>
-<p>If you are looking for a movie that will keep you on the edge of your seat and show you the reality of terrorism, you should watch 2611 Attacks Movie. This movie is based on the true events of the 2008 Mumbai terror attacks, where eight Pakistani terrorists sailed to Mumbai and unleashed a wave of violence and chaos on the city for 72 hours. The movie depicts the horror and heroism of the victims, the police, and the common people who faced the attacks.</p>
-<p>2611 Attacks Movie is directed by Ram Gopal Varma, a renowned filmmaker who is known for his realistic and gritty movies. The movie stars Nana Patekar as Rakesh Maria, the joint commissioner of Mumbai Police who led the investigation and interrogation of the terrorists. The movie also features Sanjeev Jaiswal as Ajmal Kasab, the only terrorist who was captured alive, and Asif Basra as Taxi Driver, who helped Kasab reach his destination.</p>
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-<h3>Conclusion</h3>
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-<p>If you want to watch this movie for free or at a low cost, you can use any of the platforms mentioned above. They are legal and safe ways to enjoy this movie online or offline. However, you should always avoid illegal or pirated websites that may offer the movie for free download.</p>
-<h2>Who are the Cast and Crew of 2611 Attacks Movie</h2>
-<p>If you are curious about who are the cast and crew of 2611 Attacks Movie, you will find a talented and experienced team behind this movie. The movie is directed by Ram Gopal Varma, a renowned filmmaker who is known for his realistic and gritty movies. The movie is written by Ram Gopal Varma and Rommel Rodrigues, based on the book Kasab: The Face of 26/11 by Rommel Rodrigues.</p>
-<p></p>
-<p>The movie stars Nana Patekar as Rakesh Maria, the joint commissioner of Mumbai Police who led the investigation and interrogation of the terrorists. Nana Patekar is a veteran actor who has won several awards and accolades for his performances in movies like Parinda, Krantiveer, Ab Tak Chhappan, and Apaharan. He is also known for his social work and activism.</p>
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-<h3>Conclusion</h3>
-<p>2611 Attacks Movie is a movie that will make you witness the terror and tragedy of the Mumbai attacks in 2008. It will also make you appreciate the courage and sacrifice of the people who fought against it. It is a movie that will leave you with a lasting impression and a message of peace and humanity.</p>
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diff --git a/spaces/terfces0erbo/CollegeProjectV2/Ampex Atr-102 Mastering Tape Recorder Plug-in LINK Crack.md b/spaces/terfces0erbo/CollegeProjectV2/Ampex Atr-102 Mastering Tape Recorder Plug-in LINK Crack.md
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index fa9f93540bcf0564ffa9d7a86977b1e3ca63127c..0000000000000000000000000000000000000000
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-<h1>Ampex ATR-102 Mastering Tape Recorder Plug-in: A Review</h1>
-
-<p>If you are looking for a way to add some analog warmth and character to your digital recordings, you might want to check out the Ampex ATR-102 Mastering Tape Recorder plug-in from Universal Audio. This plug-in is an emulation of the legendary <strong>Ampex ATR-102 Mastering Tape Recorder</strong>, which was used by many professional engineers and producers to master some of the most iconic albums of all time.</p>
-
-<p>The Ampex ATR-102 plug-in is designed to faithfully capture the unique dynamics, frequency response, and tape saturation of the original hardware, without the hassle of calibration, maintenance, tape degradation, etc. You can use it to process your audio through the entire ATR-102 circuit, including its transformers, amplifiers, Repro, Sync, and Input paths. You can also choose from different tape formulas, head configurations, and calibration levels to customize your sound.</p>
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-<h2>What are the benefits of using the Ampex ATR-102 plug-in?</h2>
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-<p>One of the main benefits of using the Ampex ATR-102 plug-in is that it can add analog polish to your mixes with just a few clicks. The plug-in can enhance your tracks and mixes with a cohesive sound, punch, and subtle-to-deep tape saturation and color. It can also help you to \"glue\" your mix together and create a more balanced and harmonious soundstage.</p>
-
-<p>Another benefit of using the Ampex ATR-102 plug-in is that it can be integrated into LUNA Recording System, which is Universal Audio's music production software. With LUNA, you can use the Ampex ATR-102 as a LUNA Extension, where it's built into the fabric of the mixer without the need to manage separate plug-in windows. This way, you can get rich, analog tape-infused master recordings with ease and convenience.</p>
-
-<h2>How to use the Ampex ATR-102 plug-in?</h2>
-
-<p>To use the Ampex ATR-102 plug-in, you need to have a UAD DSP card or an Apollo audio interface from Universal Audio. The plug-in is compatible with VST, AU, and AAX formats and works with most DAWs. You can insert the plug-in on your master bus or on individual tracks or buses as you wish.</p>
-
-<p>Once you load the plug-in, you will see a realistic interface that resembles the original hardware. You can adjust various parameters such as input level, output level, bias level, tape speed, tape type, head type, wow & flutter, hiss & hum, crosstalk, and tape delay. You can also use the auto calibration feature that sets manufacturer recommended levels for each tape compound or use one of the many presets that are available.</p>
-
-<p>The plug-in also has a handy metering section that shows you the input level, output level, bias level, VU metering (peak or average), and IPS (inches per second) display. You can also switch between Repro mode (which bypasses the record electronics) and Sync mode (which includes them).</p>
-<p></p>
-
-<h2>What are some tips and tricks for using the Ampex ATR-102 plug-in?</h2>
-
-<p>Here are some tips and tricks for using the Ampex ATR-102 plug-in:</p>
-
-<ul>
-<li>Experiment with different tape speeds and types to find the best combination for your material. Generally speaking, higher tape speeds will give you more clarity and fidelity while lower tape speeds will give you more warmth and saturation. Similarly, different tape types will have different frequency responses and harmonic characteristics.</li>
-<li>Use the bias level knob to fine-tune the amount of saturation and distortion that you want. Higher bias levels will give you more headroom and cleaner sound while lower bias levels will give you more compression and crunch.</li>
-<li>Use the wow & flutter knob to add some subtle modulation and movement to your sound. This can help to create a more organic and vintage vibe.</li>
-<li>Use the hiss & hum knob to add some noise and character to your sound. This can help to mask some digital artifacts and create a more realistic tape emulation.</li>
-<li>Use the crosstalk knob to add some stereo width and depth to your sound. This can help to create a more spacious and immersive soundstage.</li>
-<li>Use the tape delay knob to add some echo and feedback effects to your sound. This can help to create some interesting rhythmic and spatial effects.</li>
-</ul>
-
-<h2>Conclusion</h2>
-
-<p>The Ampex ATR-102 Mastering Tape Recorder plug-in is a powerful tool that can help you to achieve a professional sounding master with an analog flavor. It is easy to use and offers a lot of flexibility and control over your sound. Whether you want to add some subtle warmth and glue or some deep saturation and color, this plug-in can do it all.</p>
-
-<p>If you want to try out this plug-in for yourself, you can get it from Universal Audio's website for $349 or as part of their UAD Spark subscription service for a low monthly fee. You can also download a 14-day free trial version if you want to test it before buying it.</p>
-
-<p>We hope this article has given you some useful information about the Ampex ATR-102 Mastering Tape Recorder plug-in and how to use it effectively. If you have any questions or comments, feel free to leave them below.</p>
-<h2>How does the Ampex ATR-102 plug-in compare to other tape emulation plugins?</h2>
-
-<p>There are many tape emulation plugins available on the market, but not all of them can match the quality and authenticity of the Ampex ATR-102 plug-in. Some of the advantages of the Ampex ATR-102 plug-in are:</p>
-
-<ul>
-<li>It is based on the most popular professional 2-track tape machine ever made, which was used by many legendary artists and engineers.</li>
-<li>It is fully authenticated by the Ampex Corporation, which means it has been approved and endorsed by the original manufacturer.</li>
-<li>It models the entire ATR-102 electronic path, including all the components and circuits that contribute to its sound.</li>
-<li>It offers multiple tape formulas, head configurations, and calibration levels, which give you a wide range of sonic options and flexibility.</li>
-<li>It has a realistic and intuitive interface that mimics the original hardware, making it easy to use and adjust.</li>
-</ul>
-
-<p>Some of the competitors of the Ampex ATR-102 plug-in are:</p>
-
-<ul>
-<li>Waves J37 Tape: This plugin is based on another classic tape machine, the Abbey Road Studios J37 4-track recorder. It offers three tape formulas, four noise reduction modes, and a wow & flutter control. It also has a built-in delay module that can create tape echo effects.</li>
-<li>Softube Tape: This plugin is a generic tape emulation that can simulate three different types of tape machines: a vintage reel-to-reel, a modern high-end machine, and a cassette deck. It has a simple interface that lets you adjust input drive, tape speed, crosstalk, and dry/wet mix.</li>
-<li>Slate Digital VTM: This plugin is based on two renowned tape machines: the Studer A827 2-inch 24-track recorder and the Ampex ATR-102 half-inch 2-track recorder. It allows you to switch between different tape types, bias settings, noise reduction modes, and wow & flutter levels.</li>
-</ul>
-
-<h2>What are some examples of using the Ampex ATR-102 plug-in on different genres and instruments?</h2>
-
-<p>The Ampex ATR-102 plug-in can be used on any genre and instrument that can benefit from some analog warmth and character. Here are some examples of how you can use it on different types of music:</p>
-
-<ul>
-<li>Rock: You can use the Ampex ATR-102 plug-in on your drums, guitars, bass, and vocals to add some punch, grit, and glue to your rock mix. You can also use it on your master bus to create a cohesive and polished sound.</li>
-<li>Pop: You can use the Ampex ATR-102 plug-in on your synths, keyboards, pads, and vocals to add some depth, richness, and color to your pop mix. You can also use it on your master bus to create a smooth and balanced sound.</li>
-<li>Jazz: You can use the Ampex ATR-102 plug-in on your piano, saxophone, trumpet, bass, and drums to add some warmth, detail, and dynamics to your jazz mix. You can also use it on your master bus to create a vintage and authentic sound.</li>
-</ul>
-
-<p>The Ampex ATR-102 plug-in is a versatile and powerful tool that can enhance any type of music with its analog magic. Whether you want to recreate the sound of classic records or add some modern flavor to your productions, this plug-in can help you achieve your sonic goals.</p>
-<h2>How to get the Ampex ATR-102 plug-in for free?</h2>
-
-<p>One of the drawbacks of the Ampex ATR-102 plug-in is that it is not cheap. The plug-in costs $349 on Universal Audio's website, which is quite a hefty price for some users. However, there are some ways to get the plug-in for free or at a lower cost.</p>
-
-<p>One way is to use a crack version of the plug-in, which is a modified version that bypasses the copy protection and allows you to use it without paying. However, this method is not recommended, as it is illegal, unethical, and risky. Using a crack version of the plug-in can expose your computer to viruses, malware, and other threats. It can also cause compatibility issues, bugs, crashes, and poor performance. Moreover, it can deprive the developers of their deserved income and discourage them from creating more quality products.</p>
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-<p>A better way to get the Ampex ATR-102 plug-in for free or at a lower cost is to use a trial version or a subscription service. Universal Audio offers a 14-day free trial version of the plug-in, which you can download from their website and use without any limitations. This way, you can test the plug-in and see if you like it before buying it. Alternatively, you can use Universal Audio's UAD Spark subscription service, which gives you access to 30+ of their best plug-ins, including the Ampex ATR-102, for a low monthly fee. This way, you can use the plug-in and many others without paying the full price.</p>
-
-<h2>What are some alternatives to the Ampex ATR-102 plug-in?</h2>
-
-<p>If you are looking for other tape emulation plugins that can give you similar results as the Ampex ATR-102 plug-in, you might want to check out these alternatives:</p>
-
-<ul>
-<li>IK Multimedia T-RackS Tape Machine Collection: This plugin collection features four classic tape machines: the Ampex 440B 1/4\" Reel-to-Reel Recorder, the Studer A80 Mk II 2\" Multitrack Recorder, the Revox PR99 Mk II 1/4\" Reel-to-Reel Recorder, and the Sony MCI JH24 2\" Multitrack Recorder. Each plugin offers realistic tape sound, adjustable tape speed and bias, selectable tape formulations and noise reduction modes, transport controls, and metering options.</li>
-<li>Overloud TAPEDESK: This plugin combines a tape machine emulation with a console emulation in one interface. It features three tape machine models: the S612 (based on an Akai GX-635D), the M66 (based on a Tascam BR-20), and the T88 (based on an Otari MX-80). It also features three console models: the S4000 (based on an SSL 4000), the N80 (based on a Neve 80), and the A16 (based on an API 1608). You can mix and match different tape machines and consoles to create your own custom sound.</li>
-<li>Wavesfactory Cassette: This plugin emulates the sound of cassette tapes and cassette players. It features four cassette types: normal (Type I), chrome (Type II), metal (Type IV), and no tape. It also features four cassette players: professional (Nakamichi Dragon), home stereo (Sony TC-K61), portable (Sony Walkman WM-D6C), and microcassette (Sanyo TRC-1128). You can adjust parameters such as input gain, output gain, saturation amount and character, wow & flutter amount and shape, noise amount and type, asperity noise amount and type, crosstalk amount and type, bias amount and type, azimuth alignment angle, tape head quality and wear level.</li>
-</ul>
-<h2>Conclusion</h2>
-
-<p>The Ampex ATR-102 Mastering Tape Recorder plug-in is a great way to add some analog warmth and character to your digital recordings. It is an authentic emulation of the legendary tape machine that was used to master many classic records. It offers a lot of flexibility and control over your sound, and it can be integrated into LUNA Recording System for a seamless workflow. Whether you want to recreate the sound of vintage records or add some modern flavor to your productions, this plug-in can help you achieve your sonic goals.</p>
-
-<p>However, the Ampex ATR-102 plug-in is not cheap, and it requires a UAD DSP card or an Apollo audio interface to run. If you are looking for a more affordable or accessible option, you might want to try some of the alternatives that we have mentioned in this article. They are also tape emulation plugins that can give you similar results as the Ampex ATR-102 plug-in, but with different features and interfaces.</p>
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-<li>Check the reputation and reviews of the VPN provider. You can look for online reviews from reputable sources, such as PCMag, TechRadar, or VPNOverview. You can also check the ratings and feedback from other users on the Google Play Store or the App Store. Avoid VPNs that have poor ratings, negative reviews, or a history of data breaches or scandals.</li>
-<li>Check the privacy policy and logging practices of the VPN provider. You want a VPN that respects your privacy and does not collect or store any sensitive information about your online activity, such as your IP address, browsing history, or bandwidth usage. Look for VPNs that have a strict no-logs policy and are based in jurisdictions that do not require them to comply with data retention laws or surveillance requests.</li>
-<li>Check the security features and encryption protocols of the VPN provider. You want a VPN that uses strong encryption algorithms, such as AES-256, to protect your data from hackers, ISPs, and governments. You also want a VPN that offers additional security features, such as a kill switch, split tunneling, DNS leak protection, and malware protection. Look for VPNs that support secure protocols, such as OpenVPN, WireGuard, or IKEv2.</li>
-<li>Check the speed and performance of the VPN provider. You want a VPN that does not slow down your internet connection significantly or cause frequent connection drops. You also want a VPN that has fast and reliable servers in various locations around the world, so you can access geo-restricted content and bypass censorship. Look for VPNs that have a large network of servers, offer unlimited bandwidth, and have good speed test results.</li>
-<li>Check the compatibility and usability of the VPN provider. You want a VPN that works well with your devices and operating systems, whether you use Windows, Mac, Android, iOS, Linux, or others. You also want a VPN that has an easy-to-use and intuitive interface, with clear settings and options. Look for VPNs that have dedicated apps for different platforms, offer multiple simultaneous connections, and have 24/7 customer support.</li>
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-<p>Based on these criteria, some of the best VPN services in 2023 are ExpressVPN, NordVPN, Surfshark, ProtonVPN, and CyberGhost. These VPNs have excellent ratings and reviews from experts and users alike, offer strong privacy and security features, have fast and reliable servers in multiple locations, work well with different devices and systems, and provide good value for money.</p> Apkflash vpn can reduce ping and latency by letting you choose a server location that is closer to your destination. For example, if you want to play a game with your friends in Europe, you can connect to a European server and enjoy a smoother gaming experience.</li>
-<li>Increase your download and upload speed by choosing a faster server location. Apkflash vpn can increase your download and upload speed by letting you choose a server location that has a higher bandwidth and lower congestion. For example, if you want to download a large file or upload a video, you can connect to a server location that has a fast and stable connection.</li>
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-<p>With apkflash vpn, you can optimize your internet speed and performance. You can enjoy faster and smoother browsing, streaming, gaming, and downloading.</p>
- <h2>Risks of using a VPN</h2>
-<h3>What are some common VPN security risks and how to avoid them?</h3>
-<p>Using a VPN can enhance your online security, but it also comes with some risks that you need to be aware of and avoid. Some of the common VPN security risks are:</p>
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-<li>VPN leaks: VPN leaks are when your real IP address or DNS requests are exposed despite using a VPN. This can compromise your privacy and security, as anyone can see your online activity or location. VPN leaks can be caused by various factors, such as faulty VPN software, misconfigured network settings, or malicious attacks. To avoid VPN leaks, you should use a VPN that has DNS leak protection, IPv6 leak protection, and WebRTC leak protection. You should also test your VPN for leaks regularly using tools like ipleak.net or dnsleaktest.com.</li>
-<li>VPN malware: VPN malware is when your VPN app contains malicious code that can harm your device or steal your data. This can happen if you download a VPN app from an untrusted source, such as a third-party website or app store. To avoid VPN malware, you should only download VPN apps from reputable sources, such as the Google Play Store or the official website of the VPN provider. You should also scan your device for malware regularly using antivirus software.</li>
-<li>VPN logging: VPN logging is when your VPN provider collects or stores information about your online activity, such as your IP address, browsing history, bandwidth usage, or connection time. This can compromise your privacy and security, as your VPN provider can sell or share your data with third parties, such as advertisers, ISPs, or governments. To avoid VPN logging, you should use a VPN that has a strict no-logs policy and is based in a privacy-friendly jurisdiction. You should also read the privacy policy of the VPN provider carefully before using it.</li>
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-<p>By following these tips and precautions, you can minimize the risks of using a VPN and enjoy its benefits without any worries.</p>
- <h3>What are some disadvantages of using a VPN and how to overcome them?</h3>
-<p>Using a VPN can also have some disadvantages that you need to be aware of and overcome. Some of the disadvantages of using a VPN are:</p>
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-<li>VPN slowdown: VPN slowdown is when your internet speed is reduced by using a VPN. This can happen because of various factors, such as encryption overhead, server distance, server load, or network congestion. To overcome VPN slowdown, you should use a VPN that has fast and reliable servers in various locations around the world. You should also choose a server location that is closer to your destination or has less traffic. You should also use a secure protocol that has less overhead, such as WireGuard or IKEv2.</li>
-<li>VPN compatibility: VPN compatibility is when your VPN does not work well with some websites, apps, or devices. This can happen because of various factors, such as geo-blocking, firewall blocking, device restrictions, or protocol restrictions. To overcome VPN compatibility issues, you should use a VPN that has multiple servers in different countries and regions. You should also use a protocol that is compatible with most websites, apps, and devices, such as OpenVPN or L2TP/IPsec. You should also use a feature that allows you to whitelist or split tunnel certain websites, apps, or devices that do not require a VPN.</li>
-<li>VPN cost: VPN cost is when you have to pay for using a VPN service. This can be an issue if you have a limited budget or want to use a VPN for free. To overcome VPN cost issues, you should look for a VPN service that offers good value for money. You should compare the features, performance, security, and customer support of different VPN services before choosing one. You should also look for discounts, coupons, or free trials that can help you save money on your subscription. Alternatively, you can use a free VPN service that has good reviews and ratings from other users , but be careful of the risks and limitations of using a free VPN, such as low security, slow speed, limited servers, or data caps.</li>
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-<p>By following these tips and solutions, you can overcome the disadvantages of using a VPN and enjoy its benefits without any hassle.</p>
- <h2>Conclusion</h2>
-<p>In conclusion, apkflash vpn is a fast, secure, and easy-to-use VPN app for Android devices that lets you enjoy the internet without any restrictions or worries. It has many features and benefits that make it one of the best VPN apps for Android, such as:</p>
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-<li>Unlimited bandwidth and no connection time limit</li>
-<li>Over 30 servers in 14 countries around the world</li>
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-<li>VPN hotspot feature to share your VPN connection with other devices</li>
-<li>No registration or login required</li>
-<li>Ability to hide your IP address and location from online trackers and hackers</li>
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-<p>If you want to try apkflash vpn for yourself, you can download it from the Google Play Store or the official website (https://apkcombo.com/kuto-vpn-a-fast-secure-vpn/com.kuto.vpn/). You can also follow apkflash vpn on Facebook (https://www.facebook.com/apkflashvpn) or Twitter (https://twitter.com/apkflashvpn) for the latest updates and news.</p>
-<p>We hope you found this article helpful and informative. If you have any questions or feedback about apkflash vpn or VPNs in general, feel free to leave a comment below. We would love to hear from you!</p>
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-<h3>What is the difference between apkflash vpn and other VPN apps?</h3>
-<p>The main difference between apkflash vpn and other VPN apps is that apkflash vpn is free, fast, and secure. Unlike other VPN apps that may charge you a fee, limit your bandwidth, or compromise your security, apkflash vpn provides unlimited bandwidth, no connection time limit, and strong encryption. Apkflash vpn also has a VPN hotspot feature that allows you to share your VPN connection with other devices via Wi-Fi.</p>
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-<p>Yes, apkflash vpn is safe to use. Apkflash vpn uses AES-256 encryption to protect your data from hackers, ISPs, and governments. It also has a kill switch feature that automatically disconnects your internet connection if the VPN connection drops. Apkflash vpn does not collect or store any information about your online activity or personal data. Apkflash vpn is also malware-free and virus-free. You can download it from the Google Play Store or the official website without any risk.</p>
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-<p>Yes, apkflash vpn works with Netflix. Apkflash vpn can unblock Netflix US, UK, Canada, Germany, France, Japan, Singapore, and more. You can watch your favorite movies and shows on Netflix with apkflash vpn by connecting to a server location where they are available. For example, if you want to watch Netflix US, you can connect to a US server and enjoy the full catalog of Netflix US.</p>
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-<p>If you have any issues or questions about apkflash vpn, you can contact apkflash vpn support by sending an email to support@apkcombo.com. You can also visit the FAQ page (https://apkcombo.com/kuto-vpn-a-fast-secure-vpn/com.kuto.vpn/faq/) or the Help page (https://apkcombo.com/kuto-vpn-a-fast-secure-vpn/com.kuto.vpn/help/) for more information and guidance. Apkflash vpn support team is available 24/7 and will respond to your queries as soon as possible.</p>
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-<p>Yes, you can use apkflash vpn on other devices besides Android. Apkflash vpn has a VPN hotspot feature that allows you to share your VPN connection with other devices via Wi-Fi. You can use this feature to protect your laptop, tablet, smart TV, or gaming console with the same VPN account. You can also use this feature to cast web videos to your smart TV via the VPN.</p> 401be4b1e0<br />
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diff --git a/spaces/ticomspire/turkey-syria-earthquake-tweets/logs/Create Your Own Family Adventures with Sweet Home Stories Mod APK.md b/spaces/ticomspire/turkey-syria-earthquake-tweets/logs/Create Your Own Family Adventures with Sweet Home Stories Mod APK.md
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-<h1>Sweet Home Mod APK: A Fun and Creative Game for Kids</h1>
-<p>If you are looking for a fun and creative game for your kids, you might want to check out Sweet Home Mod APK. This is a virtual dollhouse game that allows you to create your own house, interact with different characters, and make your own stories. In this article, we will tell you what Sweet Home Mod APK is, how to download and install it, and what are its features.</p>
- <h2>What is Sweet Home Mod APK?</h2>
-<p>Sweet Home Mod APK is a modified version of the original Sweet Home Stories game, which is developed by PlayToddlers. This is a game that simulates a family's daily life in a cozy house. You can play as one of the six family members, or as all of them at once. You can also choose from different rooms, such as the kitchen, the living room, the bathroom, the bedroom, and more. You can decorate your house with various furniture and accessories, and change them whenever you want.</p>
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- <h3>A virtual dollhouse game with unlimited possibilities</h3>
-<p>One of the best things about Sweet Home Mod APK is that it gives you unlimited possibilities to create your own house and stories. You can move and resize any object in the game, and place it wherever you want. You can also mix and match different items to create new combinations. For example, you can put a sofa in the kitchen, or a bathtub in the living room. You can also change the color and style of any item in the game.</p>
- <h3>A family-friendly game with cute characters and stories</h3>
-<p>Another great thing about Sweet Home Mod APK is that it is a family-friendly game that is suitable for kids of all ages. The game has cute graphics and animations, and cheerful music and sound effects. The characters are also adorable and expressive, and they have their own personalities and preferences. You can interact with them in various ways, such as talking, hugging, kissing, tickling, feeding, dressing up, and more. You can also create your own stories and scenarios with them, such as having a birthday party, going on a picnic, playing hide and seek, and more.</p>
- <h3>A modded version with all features unlocked</h3>
-<p>The last thing you need to know about Sweet Home Mod APK is that it is a modded version of the original game, which means that it has some extra features that are not available in the official version. The most important feature is that it has all the items and rooms unlocked for free. You don't need to pay any money or watch any ads to access them. You can also play the game offline without any internet connection.</p>
- <h2>How to download and install Sweet Home Mod APK?</h2>
-<p>If you are interested in playing Sweet Home Mod APK, you need to download and install it on your device. Here are the steps you need to follow:</p>
- <h3>Download the APK file from a trusted source</h3>
-<p>The first step is to download the APK file of Sweet Home Mod APK from a trusted source. You can use this link to download it directly from our website. The file size is about 40 MB, so make sure you have enough space on your device.</p>
- <h3>Enable unknown sources on your device settings</h3>
-<p>The second step is to enable unknown sources on your device settings. This is necessary because Sweet Home Mod APK is not available on the Google Play Store, so you need to allow your device to install apps from unknown sources. To do this, go to your device settings, then security, then enable unknown sources. You may see a warning message, but don't worry, it is safe to install Sweet Home Mod APK.</p>
- <h3>Install the APK file and enjoy the game</h3>
-<p>The third and final step is to install the APK file and enjoy the game. To do this, locate the downloaded file on your device, then tap on it to start the installation process. Follow the instructions on the screen, and wait for a few seconds until the installation is complete. Then, you can open the game and start playing.</p>
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- <h2>What are the features of Sweet Home Mod APK?</h2>
-<p>Sweet Home Mod APK has many features that make it a fun and creative game for kids. Here are some of them:</p>
- <h3>Customize your own house with different rooms and furniture</h3>
-<p>One of the main features of Sweet Home Mod APK is that you can customize your own house with different rooms and furniture. You can choose from various themes, such as modern, classic, rustic, or colorful. You can also add different items, such as sofas, tables, chairs, beds, lamps, paintings, plants, and more. You can arrange them however you like, and change them anytime you want.</p>
- <h3>Interact with various objects and characters in the game</h3>
-<p>Another feature of Sweet Home Mod APK is that you can interact with various objects and characters in the game. You can touch, drag, drop, rotate, and zoom any object in the game. You can also use them for different purposes, such as cooking, eating, sleeping, bathing, playing, and more. You can also interact with the family members in the game, such as talking to them, hugging them, kissing them, tickling them, feeding them, dressing them up, and more.</p>
- <h3>Create your own stories and scenarios with the family members</h3>
-<p>A third feature of Sweet Home Mod APK is that you can create your own stories and scenarios with the family members. You can play as one of the six family members, or as all of them at once. You can also choose from different moods, such as happy, sad, angry, or surprised. You can also create different situations, such as having a birthday party, going on a picnic, playing hide and seek, and more. You can use your imagination and creativity to make your own stories.</p>
- <h3>Explore different themes and activities in the game</h3>
-<p>A fourth feature of Sweet Home Mod APK is that you can explore different themes and activities in the game. You can choose from different seasons, such as spring, summer, fall, or winter. You can also choose from different times of the day, such as morning, noon, evening, or night. You can also choose from different events, such as Halloween, Christmas, New Year, or Valentine's Day. You can also enjoy different activities, such as gardening, reading, watching TV, playing games, and more.</p>
- <h2>Conclusion</h2>
-<p>Sweet Home Mod APK is a fun and creative game for kids that allows you to create your own house, interact with different characters, and make your own stories. It is a modded version of the original Sweet Home Stories game that has all the features unlocked for free. You can download and install it easily on your device by following the steps we mentioned above. If you are looking for a game that stimulates your kids' imagination and creativity, you should definitely try Sweet Home Mod APK.</p>
- <h2>FAQs</h2>
-<p>Here are some frequently asked questions about Sweet Home Mod APK:</p>
- <h4>Q: Is Sweet Home Mod APK safe to download and install?</h4>
-<p>A: Yes, Sweet Home Mod APK is safe to download and install. It does not contain any viruses or malware that could harm your device or data. However, you should always download it from a trusted source like our website, and not from any unknown or suspicious websites.</p>
- <h4>Q: Is Sweet Home Mod APK compatible with my device?</h4>
-<p>A: Sweet Home Mod APK is compatible with most Android devices that have Android 4.4 or higher versions. However, some devices may not support some features or functions of the game due to their specifications or settings. If you encounter any problems while playing the game, you can contact us through our email or comment section below.</p>
- <h4>Q: How can I update Sweet Home Mod APK?</h4>
-<p>A: Sweet Home Mod APK is updated regularly by its developers to fix any bugs or glitches, and to add new features or improvements. You can check our website for any updates or notifications about the game. You can also enable automatic updates on your device settings so that you can get the latest version of the game automatically. However, you should always backup your game data before updating, in case anything goes wrong.</p>
- <h4>Q: How can I get more items or rooms in Sweet Home Mod APK?</h4>
-<p>A: Sweet Home Mod APK has all the items and rooms unlocked for free, so you don't need to get more of them. You can access them by tapping on the menu icon on the top left corner of the screen, and then selecting the items or rooms you want. You can also scroll left or right to see more options. You can use any item or room in the game without any restrictions or limitations.</p>
- <h4>Q: How can I share my house or stories with others in Sweet Home Mod APK?</h4>
-<p>A: Sweet Home Mod APK does not have a social media or online feature that allows you to share your house or stories with others. However, you can still take screenshots or record videos of your house or stories, and then share them with your friends or family through other apps or platforms. You can also use the hashtag #sweethomemodapk to show your creations to other players who love the game.</p> 197e85843d<br />
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diff --git a/spaces/ticomspire/turkey-syria-earthquake-tweets/logs/Dead by Daylight Mobile Mod Menu APK Experience the Horror with Enhanced Fov and Money.md b/spaces/ticomspire/turkey-syria-earthquake-tweets/logs/Dead by Daylight Mobile Mod Menu APK Experience the Horror with Enhanced Fov and Money.md
deleted file mode 100644
index 17a67d028c38e466e5b148d70435fad9836c7f5c..0000000000000000000000000000000000000000
--- a/spaces/ticomspire/turkey-syria-earthquake-tweets/logs/Dead by Daylight Mobile Mod Menu APK Experience the Horror with Enhanced Fov and Money.md	
+++ /dev/null
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-<p>If you are a fan of horror games, you might have heard of <strong>Dead by Daylight Mobile</strong>, a thrilling multiplayer game where you can play as a killer or a survivor in a deadly match. But did you know that there is a way to make the game even more fun and exciting? Yes, we are talking about <strong>Dead by Daylight Mobile Mod Menu APK</strong>, a modified version of the official game that gives you tons of premium benefits for free. In this article, we will tell you everything you need to know about this amazing mod apk, including its features, how to download and install it, and why you should try it.</p>
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-<h3>A thrilling multiplayer horror game</h3>
-<p>Dead by Daylight Mobile is a mobile version of the popular PC and console game <em>Dead by Daylight</em>, developed by Behaviour Interactive. It is a 4v1 asymmetrical horror game, where one player controls a killer and the other four players control survivors. The killer's goal is to hunt down and kill the survivors before they escape, while the survivors' goal is to work together and repair generators to open the exit gates and flee.</p>
-<h3>How to play Dead by Daylight Mobile?</h3>
-<p>The game has two modes: <strong>Kill Your Friends</strong> and <strong>Survive With Friends</strong>. In Kill Your Friends mode, you can create a private match with your friends and choose who will be the killer and who will be the survivors. In Survive With Friends mode, you can join a public match with random players or invite your friends to play as survivors against a random killer.</p>
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-<p>Dead by Daylight Mobile Mod Menu APK is a modified version of the official game that gives you access to a mod menu where you can enable or disable various features that are not available in the original game. The mod menu apk is created by third-party developers who modify the game files to unlock some hidden or premium features for free. The mod menu apk is not endorsed or affiliated with Behaviour Interactive, the developer of the official game.</p>
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-<h4>Unlimited money and blood points</h4>
-<p>One of the main features of Dead by Daylight Mobile Mod Menu APK is that it gives you unlimited money and blood points, which are the currencies used in the game. You can use money to buy items, add-ons, offerings, characters, skins, and more from the in-game store. You can use blood points to upgrade your character's abilities and perks in the bloodweb. With unlimited money and blood points, you can get everything you want without spending real money or grinding for hours.</p>
-<h4>Unlock all characters and skins</h4>
-<p>Another feature of Dead by Daylight Mobile Mod Menu APK is that it unlocks all the characters and skins in the game, including the ones that are exclusive to the PC and console versions. You can play as iconic killers from horror movies, such as Michael Myers, Freddy Krueger, Leatherface, Ghostface, and more. You can also play as famous survivors, such as Laurie Strode, Nancy Wheeler, Steve Harrington, and more. You can also change your character's appearance with various skins, outfits, accessories, and hairstyles.</p>
-<h4>Customizable FOV and speed</h4>
-<p>Another feature of Dead by Daylight Mobile Mod Menu APK is that it allows you to customize your field of view (FOV) and speed in the game. You can adjust the FOV to have a wider or narrower view of your surroundings, which can help you spot the killer or the survivors more easily. You can also adjust the speed to move faster or slower, which can give you an advantage or a challenge in the game. You can change these settings anytime during the game with the mod menu.</p>
-<h4>No ads and anti-ban protection</h4>
-<p>Another feature of Dead by Daylight Mobile Mod Menu APK is that it removes all the ads from the game, which can be annoying and distracting. You can enjoy the game without any interruptions or pop-ups. Moreover, the mod menu apk has an anti-ban protection feature, which prevents you from getting banned by the game developers for using the mod apk. You can play the game safely and securely with the mod menu.</p>
-<h2>How to download and install Dead by Daylight Mobile Mod Menu APK?</h2>
-<h3>Follow these simple steps</h3>
-<p>If you want to download and install Dead by Daylight Mobile Mod Menu APK on your Android device, you need to follow these simple steps:</p>
-<ol>
-<li>First, you need to uninstall the official game from your device if you have it installed.</li>
-<li>Second, you need to enable the "Unknown Sources" option in your device settings. This will allow you to install apps from sources other than the Google Play Store.</li>
-<li>Third, you need to download the Dead by Daylight Mobile Mod Menu APK file from a trusted website. You can search for it on Google or use this link: </li>
-<li>Fourth, you need to locate the downloaded file on your device and tap on it to start the installation process.</li>
-<li>Fifth, you need to follow the instructions on the screen and wait for the installation to finish.</li>
-</ol>
-<h3>Enjoy the game with mod menu</h3>
-<p>Once you have installed the Dead by Daylight Mobile Mod Menu APK on your device, you can launch the game and enjoy it with the mod menu. You can access the mod menu by tapping on a button on the screen. You can then enable or disable any feature you want with a simple tap. You can also customize your FOV and speed with sliders. You can have fun playing as a killer or a survivor with unlimited money, blood points, characters, skins, and more.</p>
-<h2>Conclusion</h2>
-<p>Dead by Daylight Mobile Mod Menu APK is a great way to enhance your gaming experience and have more fun playing this awesome horror game. You can get unlimited money, blood points, characters, skins, FOV, speed, and more for free with this mod apk. You can also remove ads and avoid bans with this mod apk. You can download and install it easily on your Android device with these simple steps. You can then enjoy the game with the mod menu and customize it to your liking.</p>
-<p>If you are a fan of horror games and want to try something new and exciting, you should definitely give Dead by Daylight Mobile Mod Menu APK a try. It will make you feel like you are in a real horror movie and give you a thrilling and adrenaline-filled experience. So what are you waiting for? Download Dead by Daylight Mobile Mod Menu APK now and have fun!</p>
-<h2>Frequently Asked Questions</h2>
-<p>Here are some of the most common questions that people ask about Dead by Daylight Mobile Mod Menu APK:</p>
-<ul>
-<li><strong>Is Dead by Daylight Mobile Mod Menu APK safe to use?</strong></li>
-<p>Yes, Dead by Daylight Mobile Mod Menu APK is safe to use as long as you download it from a trusted website and follow the installation steps correctly. The mod apk has an anti-ban protection feature that prevents you from getting banned by the game developers for using it. However, you should always use it at your own risk and discretion.</p>
-<li><strong>Is Dead by Daylight Mobile Mod Menu APK compatible with all devices?</strong></li>
-<p>No, Dead by Daylight Mobile Mod Menu APK is only compatible with Android devices that have Android 7.0 or higher versions. It is not compatible with iOS devices or other platforms.</p>
-<li><strong >li><strong>Can I play Dead by Daylight Mobile Mod Menu APK online with other players?</strong></li>
-<p>Yes, you can play Dead by Daylight Mobile Mod Menu APK online with other players, either with your friends or with random players. However, you should be careful not to abuse the mod apk features or ruin the game for others, as this might cause them to report you or leave the match. You should also respect the game rules and etiquette and play fairly and responsibly.</p>
-<li><strong>Can I update Dead by Daylight Mobile Mod Menu APK to the latest version?</strong></li>
-<p>No, you cannot update Dead by Daylight Mobile Mod Menu APK to the latest version, as this might cause the mod apk to stop working or crash. You should always use the mod apk version that matches the official game version. If the official game updates, you should wait for the mod apk developers to release a new mod apk version that is compatible with the updated game.</p>
-<li><strong>Where can I find more information about Dead by Daylight Mobile Mod Menu APK?</strong></li>
-<p>If you want to find more information about Dead by Daylight Mobile Mod Menu APK, you can visit the official website of the mod apk developers or join their Discord server. You can also check out some YouTube videos or blogs that review or showcase the mod apk. You can also ask other users who have used the mod apk for their feedback and tips.</p>
-</ul></p> 401be4b1e0<br />
-<br />
-<br />
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diff --git a/spaces/tioseFevbu/cartoon-converter/scripts/Fondamenti Di Fisica Halliday Sesta Edizione.pdfl.md b/spaces/tioseFevbu/cartoon-converter/scripts/Fondamenti Di Fisica Halliday Sesta Edizione.pdfl.md
deleted file mode 100644
index 4a1fe7702daada159b76a7237487ce39dc93e702..0000000000000000000000000000000000000000
--- a/spaces/tioseFevbu/cartoon-converter/scripts/Fondamenti Di Fisica Halliday Sesta Edizione.pdfl.md	
+++ /dev/null
@@ -1,17 +0,0 @@
-<br />
-Here is a possible title and article with html formatting for the keyword "Fondamenti Di Fisica Halliday Sesta Edizione.pdfl":
-
-<h1>Fondamenti di Fisica: un classico della fisica moderna</h1>
-<p>Fondamenti di Fisica è un testo di fisica generale scritto da David Halliday, Robert Resnick e Jearl Walker. Si tratta di uno dei libri più usati e apprezzati dagli studenti e dai docenti di fisica in tutto il mondo, grazie alla sua chiarezza espositiva, alla sua completezza e alla sua rigorosità scientifica.</p>
-<p>Il libro copre tutti gli argomenti principali della fisica classica e moderna, dalla meccanica all'ottica, dall'elettromagnetismo alla termodinamica, dalla relatività alla meccanica quantistica. Ogni capitolo è arricchito da numerosi esempi, esercizi, problemi e approfondimenti, che stimolano l'interesse e la curiosità del lettore.</p>
-<h2>Fondamenti Di Fisica Halliday Sesta Edizione.pdfl</h2><br /><p><b><b>Download Zip</b> &#9658;&#9658;&#9658; <a href="https://urlcod.com/2uHxd2">https://urlcod.com/2uHxd2</a></b></p><br /><br />
-<p>La sesta edizione italiana dei Fondamenti di Fisica è stata pubblicata nel 2006 dalla casa editrice Zanichelli. Si tratta di una versione aggiornata e migliorata rispetto alle precedenti, che tiene conto dei più recenti sviluppi della fisica e delle nuove tecnologie didattiche. La sesta edizione è composta da quattro volumi: Meccanica, onde e termodinamica; Elettromagnetismo e ottica; Elettrodinamica quantistica; Fisica nucleare e subnucleare.</p>
-<p>Per chi volesse consultare il libro in formato digitale, è possibile scaricare il file pdf dal sito web della Zanichelli o da altri siti che lo mettono a disposizione gratuitamente o a pagamento. Il file pdf ha il nome di "Fondamenti Di Fisica Halliday Sesta Edizione.pdfl" e ha una dimensione di circa 300 MB.</p>
-<p>Fondamenti di Fisica è un libro che non può mancare nella libreria di chi studia o ama la fisica. Si tratta di un'opera fondamentale per apprendere i concetti e le leggi che governano il mondo fisico, con una prospettiva moderna e critica.</p>Here is a possible continuation of the article:
-
-<p>Per approfondire ulteriormente gli argomenti trattati nei Fondamenti di Fisica, il libro offre anche una serie di risorse online, accessibili tramite un codice personale fornito con l'acquisto. Tra queste risorse ci sono: video-lezioni, animazioni, simulazioni, test di autovalutazione, soluzioni degli esercizi e dei problemi, link a siti web di interesse scientifico e culturale.</p>
-<p>Il libro è anche supportato da una piattaforma digitale chiamata WileyPLUS, che consente agli studenti e ai docenti di interagire online, scambiare materiali, svolgere compiti e verifiche, monitorare i progressi e ricevere feedback. WileyPLUS è uno strumento innovativo e efficace per integrare e arricchire l'apprendimento della fisica.</p>
-<p>Fondamenti di Fisica è quindi un libro completo e versatile, che si adatta alle diverse esigenze e ai diversi livelli di preparazione degli studenti. È un libro che accompagna lo studente lungo tutto il suo percorso formativo, dalla scuola superiore all'università, fornendogli le basi teoriche e pratiche per affrontare con successo lo studio della fisica.</p>
-<p></p> 7196e7f11a<br />
-<br />
-<br />
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diff --git a/spaces/tioseFevbu/cartoon-converter/scripts/Gumroad Substance Masters Vol1 LINK.md b/spaces/tioseFevbu/cartoon-converter/scripts/Gumroad Substance Masters Vol1 LINK.md
deleted file mode 100644
index 2673f6f2e801fdfd24e9d155a9835e57d9947892..0000000000000000000000000000000000000000
--- a/spaces/tioseFevbu/cartoon-converter/scripts/Gumroad Substance Masters Vol1 LINK.md	
+++ /dev/null
@@ -1,29 +0,0 @@
-
-<h1>Learn from the Experts with Gumroad Substance Masters Vol1</h1>
-<p>If you are interested in creating realistic and stunning materials with Substance Designer, you might want to check out Gumroad Substance Masters Vol1. This is a collection of three advanced materials created by professional artists and recorded in video tutorials. You will learn how to create a sci-fi panel, a medieval wall and a rocky ground with Substance Designer.</p>
-<h2>Gumroad Substance Masters Vol1</h2><br /><p><b><b>DOWNLOAD</b> === <a href="https://urlcod.com/2uHy1f">https://urlcod.com/2uHy1f</a></b></p><br /><br />
-<p>Gumroad Substance Masters Vol1 includes:</p>
-<ul>
-<li>Full SBS source files with detailed comments.</li>
-<li>11 hours of creation video.</li>
-<li>Marmoset toolbag presentation preview files.</li>
-<li>SBSAR material files for use in Substance painter/player.</li>
-</ul>
-<p>The artists behind this amazing pack are Ben Wilson, Vinicius Ribeiro and Ilan Shoshan. They have years of experience in the industry and have worked on projects such as Horizon Zero Dawn, Call of Duty and Star Wars. They will share their tips and tricks on how to create realistic and stylized materials with Substance Designer.</p>
-<p>Gumroad Substance Masters Vol1 is available for purchase on Gumroad[^2^] or ArtStation[^1^] [^3^]. You can also watch a preview video on YouTube[^2^] to see what you can expect from this pack. If you want to improve your skills and learn from the masters, don't miss this opportunity!</p>
-<p></p>
-
-<p>What is Substance Designer? Substance Designer is a 3D design software that allows you to create seamless materials and patterns, image filters, environment lights, or even 3D models. It is the industry standard for material authoring and is used across many industries such as video games, visual effects, architecture, and fashion. Substance Designer is part of the Adobe Substance 3D Collection, a suite of tools for 3D creation and rendering.</p>
-<p>How does Substance Designer work? Substance Designer works with a node-based workflow, where you can connect different nodes to create complex effects and variations. Each node represents a function or an operation that can be applied to an input or an output. For example, you can use a noise node to generate a random pattern, a blend node to mix two inputs together, or a curvature node to create edge highlights. You can also use nodes to create filters, patterns, effects, and 3D models that can be used in other Substance 3D applications.</p>
-<p>What are the benefits of Substance Designer? Substance Designer offers many benefits for 3D design, such as:</p>
-<ul>
-<li>Nondestructive, nonlinear workflow: You can edit any step of the process at any time and see the changes propagate instantly. You can also reuse and modify existing nodes to create new variations.</li>
-<li>Endless possibilities, infinite combinations: You can access hundreds of nodes and filters to create any surface or effect you can imagine. You can also build upon and learn from thousands of materials from Substance 3D Assets and Substance 3D Community Assets.</li>
-<li>Parametric modeling: You can generate dynamic 3D models that can be customized and animated with parameters. You can also combine existing elements like curves and kitbash models to create complex shapes.</li>
-<li>Color management: You can take advantage of Pantone and OpenColorIO support to ensure color accuracy and consistency across different applications and platforms.</li>
-<li>MDL support: You can create MDL materials with the dedicated shader graph and export them to other applications that support MDL, such as Unreal Engine or Unity.</li>
-<li>Scripting and plugin support: You can extend the functionality of Substance Designer with the integrated Python scripting interface. You can also create tools and utility graphs to supercharge your pipeline.</li>
-</ul>
-<p>If you want to learn more about Substance Designer, you can visit the official website[^1^] or the documentation[^2^] [^3^]. You can also watch tutorials and webinars on the YouTube channel or join the community on Discord.</p> cec2833e83<br />
-<br />
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diff --git a/spaces/tioseFevbu/cartoon-converter/scripts/Mediamonkey For Mac __EXCLUSIVE__.md b/spaces/tioseFevbu/cartoon-converter/scripts/Mediamonkey For Mac __EXCLUSIVE__.md
deleted file mode 100644
index a655b16bb116f18290043511a0060cd3f4b531d0..0000000000000000000000000000000000000000
--- a/spaces/tioseFevbu/cartoon-converter/scripts/Mediamonkey For Mac __EXCLUSIVE__.md	
+++ /dev/null
@@ -1,56 +0,0 @@
-
-<h1>MediaMonkey for Mac: What You Need to Know</h1>
- <p>If you are looking for a powerful and versatile media organizer and player for your Mac, you might have heard of MediaMonkey. MediaMonkey is a popular Windows application that can help you manage, sync, play, and convert your audio and video files with ease. It also lets you customize and enhance your media experience with plugins, skins, scripts, and more.</p>
- <p>But what if you want to use MediaMonkey on your Mac? Is it possible? And if so, how can you do it? In this article, we will answer these questions and more. We will also compare MediaMonkey with some of the best alternatives for Mac, so you can choose the one that suits your needs best.</p>
-<h2>Mediamonkey For Mac</h2><br /><p><b><b>Download Zip</b> &#10022; <a href="https://urlcod.com/2uHvcH">https://urlcod.com/2uHvcH</a></b></p><br /><br />
- <h2>MediaMonkey Features and Benefits</h2>
- <p>MediaMonkey is more than just a media player. It is a comprehensive media management solution that can handle large and diverse media collections. Here are some of the features and benefits that make MediaMonkey stand out:</p>
- <ul>
-<li><strong>Organize and manage your media library with ease.</strong> MediaMonkey can scan your hard drive or network folders for media files and add them to your library. It can also tag, rename, sort, categorize, rate, and filter your files based on various criteria. You can also create playlists, smart playlists, collections, bookmarks, podcasts, audiobooks, and more.</li>
-<li><strong>Sync and stream your media across devices and platforms.</strong> MediaMonkey can sync your media files with your iPhone, iPad, iPod, Android devices, USB drives, DLNA devices, UPnP devices, cloud services, etc. It can also stream your media over Wi-Fi or the internet to other devices or apps. You can also share your media library with other users on your network.</li>
-<li><strong>Play and convert any audio and video formats.</strong> MediaMonkey can play almost any audio and video formats, including MP3, AAC, OGG, FLAC, WMA, WAV, M4A, MP4, AVI, MKV , WMV, MOV, etc. It can also convert your files to different formats, bitrates, or quality levels. You can also rip CDs, DVDs, or Blu-rays to your library or burn your files to discs.</li>
-<li><strong>Customize and enhance your media experience with plugins and skins.</strong> MediaMonkey can be extended and modified with various plugins and skins that add new features, functions, or themes to the application. You can also use scripts to automate tasks, edit tags, or manipulate files. You can find hundreds of plugins, skins, and scripts on the official website or the user community.</li>
-</ul>
- <h2>MediaMonkey Limitations and Drawbacks</h2>
- <p>MediaMonkey is not perfect, however. It has some limitations and drawbacks that you should be aware of before you decide to use it on your Mac. Here are some of them:</p>
- <ul>
-<li><strong>Not available for Mac or Linux natively.</strong> MediaMonkey is a Windows-only application that does not have a native version for Mac or Linux. This means that you cannot install it directly on your Mac without using some additional software.</li>
-<li><strong>Requires virtualization or emulation software to run on Mac.</strong> To use MediaMonkey on your Mac, you need to use either virtualization or emulation software that can run Windows applications on Mac. Virtualization software creates a virtual machine that runs Windows inside your Mac, while emulation software mimics the Windows environment on your Mac. Both methods have their pros and cons, which we will discuss later.</li>
-<li><strong>May have compatibility or performance issues with some drivers or hardware.</strong> Running MediaMonkey on your Mac through virtualization or emulation software may cause some compatibility or performance issues with some drivers or hardware. For example, you may not be able to use some audio or video codecs, devices, or features that are specific to Windows or Mac. You may also experience some lag, stuttering, or crashes when playing or converting large or high-quality files.</li>
-</ul>
- <h2>MediaMonkey Alternatives for Mac</h2>
- <p>If you are not convinced that MediaMonkey is worth the hassle of running it on your Mac, you might want to consider some of the alternatives that are available for Mac natively. Here are some of the best ones:</p>
- <h3>Foobar2000</h3>
- <p>Foobar2000 is a free and lightweight audio player that offers advanced features and customization options. It can play almost any audio format, including lossless and high-resolution formats. It can also organize your music library, edit tags, rip CDs, convert files, stream online radio, and more. You can also enhance Foobar2000 with various components that add new functions or themes to the player.</p>
- <h3>Clementine</h3>
- <p>Clementine is a cross-platform music player and library organizer that can play and manage your local and online music collection. It can play various audio formats, including FLAC, MP3, AAC, OGG, etc. It can also sync your music with your devices, stream online music from services like Spotify, SoundCloud, Google Drive, etc., download podcasts, lyrics, cover art, etc., and more. You can also customize Clementine with different skins and plugins.</p>
- <h3>VLC Media Player</h3>
- <p>VLC Media Player is a versatile and powerful media player that can play almost any audio and video formats, including DVDs, CDs , Blu-rays, etc. It can also stream online content, convert files, record screen, apply filters, and more. You can also customize VLC with different skins and extensions.</p>
- <h3>iTunes</h3>
- <p>iTunes is the default media player and manager for Mac that can play and organize your music, movies, TV shows, podcasts, audiobooks, etc. It can also sync your media with your iPhone, iPad, iPod, Apple TV, etc., and access Apple Music, iTunes Store, iCloud Music Library, etc. You can also create playlists, smart playlists, stations, etc., and edit tags, ratings, artwork, etc.</p>
-<p></p>
- <h2>How to Install and Use MediaMonkey on Mac</h2>
- <p>If you still want to use MediaMonkey on your Mac, you need to follow these steps:</p>
- <ol>
-<li><strong>Choose a virtualization or emulation software that works best for you.</strong> There are many options available for running Windows applications on Mac, but some of the most popular ones are Parallels Desktop, VMware Fusion, VirtualBox, Wine, and CrossOver. Each one has its own advantages and disadvantages in terms of features, performance, compatibility, price, etc. You can do some research and compare them to find the one that suits your needs best.</li>
-<li><strong>Install Windows and MediaMonkey on your Mac using the software.</strong> Depending on the software you choose, you may need to install Windows on your Mac first or use a pre-installed Windows image. You may also need to create a virtual machine or a bottle that will run Windows and MediaMonkey. Then, you need to download and install MediaMonkey from the official website or another source.</li>
-<li><strong>Configure the settings and preferences of MediaMonkey to optimize performance and compatibility.</strong> Once you have MediaMonkey installed on your Mac, you need to adjust some settings and preferences to make sure it runs smoothly and efficiently. For example, you may need to change the audio output device, the file associations, the library location, the network settings, etc. You may also need to install some codecs or plugins that are not included in the default installation.</li>
-<li><strong>Enjoy your media collection on your Mac with MediaMonkey.</strong> After you have everything set up, you can start using MediaMonkey on your Mac as you would on Windows. You can import your media files to your library, play them with various options and features, sync them with your devices or services , customize them with plugins and skins, etc. You can also explore the online community and resources of MediaMonkey for more tips and tricks.</li>
-</ol>
- <h2>Conclusion</h2>
- <p>MediaMonkey is a great media organizer and player for Windows, but it is not available for Mac natively. However, you can still use it on your Mac with the help of virtualization or emulation software. This way, you can enjoy the features and benefits of MediaMonkey on your Mac, but you may also face some limitations and drawbacks. Alternatively, you can use some of the native alternatives for Mac, such as Foobar2000, Clementine, VLC Media Player, or iTunes. Each one has its own strengths and weaknesses, so you can choose the one that matches your preferences best.</p>
- <p>We hope this article has helped you learn more about MediaMonkey for Mac and how to use it. If you have any questions or comments, feel free to leave them below. Thank you for reading!</p>
- <h2>FAQs</h2>
- <p>Here are some of the frequently asked questions about MediaMonkey for Mac:</p>
- <h3>Is MediaMonkey free?</h3>
- <p>MediaMonkey has two versions: a free version and a paid version called MediaMonkey Gold. The free version offers most of the features and functions of MediaMonkey, but the Gold version adds some extra benefits, such as lifetime updates, advanced auto-organization, auto-conversion, professional-quality CD ripping, multiple collections, etc. The Gold version costs $24.95 for a single license, $49.95 for a three-license pack, or $119.95 for an unlimited license.</p>
- <h3>Is MediaMonkey safe?</h3>
- <p>MediaMonkey is safe to use, as long as you download it from the official website or a trusted source. It does not contain any malware, spyware, adware, or viruses. However, you should be careful when installing or using third-party plugins, skins, or scripts that may not be verified or secure.</p>
- <h3>How do I update MediaMonkey?</h3>
- <p>To update MediaMonkey, you can either use the built-in updater or download the latest version from the website. To use the updater, go to Help > Check for Updates and follow the instructions. To download the latest version, go to https://www.mediamonkey.com/download/ and choose the appropriate installer.</p>
- <h3>How do I uninstall MediaMonkey?</h3>
- <p>To uninstall MediaMonkey from your Mac, you need to delete both the application and the virtual machine or bottle that runs it. To delete the application, go to Applications > MediaMonkey and drag it to the Trash. To delete the virtual machine or bottle, go to the virtualization or emulation software that you used and follow their instructions.</p>
- <h3>How do I contact MediaMonkey support?</h3>
- <p>To contact MediaMonkey support, you can either use the online forum or the email form. To use the forum, go to https://www.mediamonkey.com/forum/ and register an account. Then, you can post your question or issue in the appropriate section and wait for a response from the staff or other users. To use the email form, go to https://www.mediamonkey.com/support/index.php?/Tickets/Submit and fill out the required fields. Then, click on Submit Ticket and wait for a reply from the support team.</p> b2dd77e56b<br />
-<br />
-<br />
\ No newline at end of file
diff --git a/spaces/tjburns/ask_marcus_aurelius/.venv/lib/python3.10/site-packages/pip/_internal/metadata/importlib/__init__.py b/spaces/tjburns/ask_marcus_aurelius/.venv/lib/python3.10/site-packages/pip/_internal/metadata/importlib/__init__.py
deleted file mode 100644
index 5e7af9fe521bd529dd2c1878b0a6e9ea7c57752d..0000000000000000000000000000000000000000
--- a/spaces/tjburns/ask_marcus_aurelius/.venv/lib/python3.10/site-packages/pip/_internal/metadata/importlib/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from ._dists import Distribution
-from ._envs import Environment
-
-__all__ = ["Distribution", "Environment"]
diff --git a/spaces/tobiascz/demotime/pytorch_grad_cam/base_cam.py b/spaces/tobiascz/demotime/pytorch_grad_cam/base_cam.py
deleted file mode 100644
index 66bbd355fc3332a9de0b190f74207d4d4c6849be..0000000000000000000000000000000000000000
--- a/spaces/tobiascz/demotime/pytorch_grad_cam/base_cam.py
+++ /dev/null
@@ -1,199 +0,0 @@
-import numpy as np
-import torch
-import ttach as tta
-from typing import Callable, List, Tuple
-from pytorch_grad_cam.activations_and_gradients import ActivationsAndGradients
-from pytorch_grad_cam.utils.svd_on_activations import get_2d_projection
-from pytorch_grad_cam.utils.image import scale_cam_image
-from pytorch_grad_cam.utils.model_targets import ClassifierOutputTarget
-
-
-class BaseCAM:
-    def __init__(self,
-                 model: torch.nn.Module,
-                 target_layers: List[torch.nn.Module],
-                 use_cuda: bool = False,
-                 reshape_transform: Callable = None,
-                 compute_input_gradient: bool = False,
-                 uses_gradients: bool = True) -> None:
-        self.model = model.eval()
-        self.target_layers = target_layers
-        self.cuda = use_cuda
-        if self.cuda:
-            self.model = model.cuda()
-        self.reshape_transform = reshape_transform
-        self.compute_input_gradient = compute_input_gradient
-        self.uses_gradients = uses_gradients
-        self.activations_and_grads = ActivationsAndGradients(
-            self.model, target_layers, reshape_transform)
-
-    """ Get a vector of weights for every channel in the target layer.
-        Methods that return weights channels,
-        will typically need to only implement this function. """
-
-    def get_cam_weights(self,
-                        input_tensor: torch.Tensor,
-                        target_layers: List[torch.nn.Module],
-                        targets: List[torch.nn.Module],
-                        activations: torch.Tensor,
-                        grads: torch.Tensor) -> np.ndarray:
-        raise Exception("Not Implemented")
-
-    def get_cam_image(self,
-                      input_tensor: torch.Tensor,
-                      target_layer: torch.nn.Module,
-                      targets: List[torch.nn.Module],
-                      activations: torch.Tensor,
-                      grads: torch.Tensor,
-                      eigen_smooth: bool = False) -> np.ndarray:
-
-        weights = self.get_cam_weights(input_tensor,
-                                       target_layer,
-                                       targets,
-                                       activations,
-                                       grads)
-        weighted_activations = weights[:, :, None, None] * activations
-        if eigen_smooth:
-            cam = get_2d_projection(weighted_activations)
-        else:
-            cam = weighted_activations.sum(axis=1)
-        return cam
-
-    def forward(self,
-                input_tensor: torch.Tensor,
-                targets: List[torch.nn.Module],
-                eigen_smooth: bool = False) -> np.ndarray:
-
-        if self.cuda:
-            input_tensor = input_tensor.cuda()
-
-        if self.compute_input_gradient:
-            input_tensor = torch.autograd.Variable(input_tensor,
-                                                   requires_grad=True)
-
-        outputs = self.activations_and_grads(input_tensor)
-        if targets is None:
-            target_categories = np.argmax(outputs.cpu().data.numpy(), axis=-1)
-            targets = [ClassifierOutputTarget(category) for category in target_categories]
-
-        if self.uses_gradients:
-            self.model.zero_grad()
-            loss = sum([target(output) for target, output in zip(targets, outputs)])
-            loss.backward(retain_graph=True)
-
-        # In most of the saliency attribution papers, the saliency is
-        # computed with a single target layer.
-        # Commonly it is the last convolutional layer.
-        # Here we support passing a list with multiple target layers.
-        # It will compute the saliency image for every image,
-        # and then aggregate them (with a default mean aggregation).
-        # This gives you more flexibility in case you just want to
-        # use all conv layers for example, all Batchnorm layers,
-        # or something else.
-        cam_per_layer = self.compute_cam_per_layer(input_tensor,
-                                                   targets,
-                                                   eigen_smooth)
-        return self.aggregate_multi_layers(cam_per_layer)
-
-    def get_target_width_height(self,
-                                input_tensor: torch.Tensor) -> Tuple[int, int]:
-        width, height = input_tensor.size(-1), input_tensor.size(-2)
-        return width, height
-
-    def compute_cam_per_layer(
-            self,
-            input_tensor: torch.Tensor,
-            targets: List[torch.nn.Module],
-            eigen_smooth: bool) -> np.ndarray:
-        activations_list = [a.cpu().data.numpy()
-                            for a in self.activations_and_grads.activations]
-        grads_list = [g.cpu().data.numpy()
-                      for g in self.activations_and_grads.gradients]
-        target_size = self.get_target_width_height(input_tensor)
-
-        cam_per_target_layer = []
-        # Loop over the saliency image from every layer
-        for i in range(len(self.target_layers)):
-            target_layer = self.target_layers[i]
-            layer_activations = None
-            layer_grads = None
-            if i < len(activations_list):
-                layer_activations = activations_list[i]
-            if i < len(grads_list):
-                layer_grads = grads_list[i]
-
-            cam = self.get_cam_image(input_tensor,
-                                     target_layer,
-                                     targets,
-                                     layer_activations,
-                                     layer_grads,
-                                     eigen_smooth)
-            cam = np.maximum(cam, 0)
-            scaled = scale_cam_image(cam, target_size)
-            cam_per_target_layer.append(scaled[:, None, :])
-
-        return cam_per_target_layer
-
-    def aggregate_multi_layers(self, cam_per_target_layer: np.ndarray) -> np.ndarray:
-        cam_per_target_layer = np.concatenate(cam_per_target_layer, axis=1)
-        cam_per_target_layer = np.maximum(cam_per_target_layer, 0)
-        result = np.mean(cam_per_target_layer, axis=1)
-        return scale_cam_image(result)
-
-    def forward_augmentation_smoothing(self,
-                                       input_tensor: torch.Tensor,
-                                       targets: List[torch.nn.Module],
-                                       eigen_smooth: bool = False) -> np.ndarray:
-        transforms = tta.Compose(
-            [
-                tta.HorizontalFlip(),
-                tta.Multiply(factors=[0.9, 1, 1.1]),
-            ]
-        )
-        cams = []
-        for transform in transforms:
-            augmented_tensor = transform.augment_image(input_tensor)
-            cam = self.forward(augmented_tensor,
-                               targets,
-                               eigen_smooth)
-
-            # The ttach library expects a tensor of size BxCxHxW
-            cam = cam[:, None, :, :]
-            cam = torch.from_numpy(cam)
-            cam = transform.deaugment_mask(cam)
-
-            # Back to numpy float32, HxW
-            cam = cam.numpy()
-            cam = cam[:, 0, :, :]
-            cams.append(cam)
-
-        cam = np.mean(np.float32(cams), axis=0)
-        return cam
-
-    def __call__(self,
-                 input_tensor: torch.Tensor,
-                 targets: List[torch.nn.Module] = None,
-                 aug_smooth: bool = False,
-                 eigen_smooth: bool = False) -> np.ndarray:
-
-        # Smooth the CAM result with test time augmentation
-        if aug_smooth is True:
-            return self.forward_augmentation_smoothing(
-                input_tensor, targets, eigen_smooth)
-
-        return self.forward(input_tensor,
-                            targets, eigen_smooth)
-
-    def __del__(self):
-        self.activations_and_grads.release()
-
-    def __enter__(self):
-        return self
-
-    def __exit__(self, exc_type, exc_value, exc_tb):
-        self.activations_and_grads.release()
-        if isinstance(exc_value, IndexError):
-            # Handle IndexError here...
-            print(
-                f"An exception occurred in CAM with block: {exc_type}. Message: {exc_value}")
-            return True
diff --git a/spaces/tomahawk24/roneneldan-TinyStories-33M/README.md b/spaces/tomahawk24/roneneldan-TinyStories-33M/README.md
deleted file mode 100644
index ed5e9a3cdadebd6f8b62baef5f2de507fb793923..0000000000000000000000000000000000000000
--- a/spaces/tomahawk24/roneneldan-TinyStories-33M/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Roneneldan TinyStories 33M
-emoji: 😻
-colorFrom: blue
-colorTo: gray
-sdk: gradio
-sdk_version: 3.35.2
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/tomofi/MMOCR/tools/slurm_train.sh b/spaces/tomofi/MMOCR/tools/slurm_train.sh
deleted file mode 100644
index 452b09454a08ac522a9df2304c3039487ea517bd..0000000000000000000000000000000000000000
--- a/spaces/tomofi/MMOCR/tools/slurm_train.sh
+++ /dev/null
@@ -1,25 +0,0 @@
-#!/usr/bin/env bash
-export MASTER_PORT=$((12000 + $RANDOM % 20000))
-
-set -x
-
-PARTITION=$1
-JOB_NAME=$2
-CONFIG=$3
-WORK_DIR=$4
-GPUS=${GPUS:-8}
-GPUS_PER_NODE=${GPUS_PER_NODE:-8}
-CPUS_PER_TASK=${CPUS_PER_TASK:-5}
-PY_ARGS=${@:5}
-SRUN_ARGS=${SRUN_ARGS:-""}
-
-PYTHONPATH="$(dirname $0)/..":$PYTHONPATH \
-srun -p ${PARTITION} \
-    --job-name=${JOB_NAME} \
-    --gres=gpu:${GPUS_PER_NODE} \
-    --ntasks=${GPUS} \
-    --ntasks-per-node=${GPUS_PER_NODE} \
-    --cpus-per-task=${CPUS_PER_TASK} \
-    --kill-on-bad-exit=1 \
-    ${SRUN_ARGS} \
-    python -u tools/train.py ${CONFIG} --work-dir=${WORK_DIR} --launcher="slurm" ${PY_ARGS}
diff --git a/spaces/tomofi/NDLOCR/src/ndl_layout/mmdetection/mmdet/models/losses/utils.py b/spaces/tomofi/NDLOCR/src/ndl_layout/mmdetection/mmdet/models/losses/utils.py
deleted file mode 100644
index 4756d7fcefd7cda1294c2662b4ca3e90c0a8e124..0000000000000000000000000000000000000000
--- a/spaces/tomofi/NDLOCR/src/ndl_layout/mmdetection/mmdet/models/losses/utils.py
+++ /dev/null
@@ -1,100 +0,0 @@
-import functools
-
-import mmcv
-import torch.nn.functional as F
-
-
-def reduce_loss(loss, reduction):
-    """Reduce loss as specified.
-
-    Args:
-        loss (Tensor): Elementwise loss tensor.
-        reduction (str): Options are "none", "mean" and "sum".
-
-    Return:
-        Tensor: Reduced loss tensor.
-    """
-    reduction_enum = F._Reduction.get_enum(reduction)
-    # none: 0, elementwise_mean:1, sum: 2
-    if reduction_enum == 0:
-        return loss
-    elif reduction_enum == 1:
-        return loss.mean()
-    elif reduction_enum == 2:
-        return loss.sum()
-
-
-@mmcv.jit(derivate=True, coderize=True)
-def weight_reduce_loss(loss, weight=None, reduction='mean', avg_factor=None):
-    """Apply element-wise weight and reduce loss.
-
-    Args:
-        loss (Tensor): Element-wise loss.
-        weight (Tensor): Element-wise weights.
-        reduction (str): Same as built-in losses of PyTorch.
-        avg_factor (float): Avarage factor when computing the mean of losses.
-
-    Returns:
-        Tensor: Processed loss values.
-    """
-    # if weight is specified, apply element-wise weight
-    if weight is not None:
-        loss = loss * weight
-
-    # if avg_factor is not specified, just reduce the loss
-    if avg_factor is None:
-        loss = reduce_loss(loss, reduction)
-    else:
-        # if reduction is mean, then average the loss by avg_factor
-        if reduction == 'mean':
-            loss = loss.sum() / avg_factor
-        # if reduction is 'none', then do nothing, otherwise raise an error
-        elif reduction != 'none':
-            raise ValueError('avg_factor can not be used with reduction="sum"')
-    return loss
-
-
-def weighted_loss(loss_func):
-    """Create a weighted version of a given loss function.
-
-    To use this decorator, the loss function must have the signature like
-    `loss_func(pred, target, **kwargs)`. The function only needs to compute
-    element-wise loss without any reduction. This decorator will add weight
-    and reduction arguments to the function. The decorated function will have
-    the signature like `loss_func(pred, target, weight=None, reduction='mean',
-    avg_factor=None, **kwargs)`.
-
-    :Example:
-
-    >>> import torch
-    >>> @weighted_loss
-    >>> def l1_loss(pred, target):
-    >>>     return (pred - target).abs()
-
-    >>> pred = torch.Tensor([0, 2, 3])
-    >>> target = torch.Tensor([1, 1, 1])
-    >>> weight = torch.Tensor([1, 0, 1])
-
-    >>> l1_loss(pred, target)
-    tensor(1.3333)
-    >>> l1_loss(pred, target, weight)
-    tensor(1.)
-    >>> l1_loss(pred, target, reduction='none')
-    tensor([1., 1., 2.])
-    >>> l1_loss(pred, target, weight, avg_factor=2)
-    tensor(1.5000)
-    """
-
-    @functools.wraps(loss_func)
-    def wrapper(pred,
-                target,
-                weight=None,
-                reduction='mean',
-                avg_factor=None,
-                **kwargs):
-        # get element-wise loss
-        loss = loss_func(pred, target, **kwargs)
-        loss = weight_reduce_loss(loss, weight, reduction, avg_factor)
-        return loss
-
-    return wrapper
diff --git a/spaces/tomzhang1019/ChatGPT/ChuanhuChatbot.py b/spaces/tomzhang1019/ChatGPT/ChuanhuChatbot.py
deleted file mode 100644
index ef01092a9ed4253955d5ce053105837a494ac3ed..0000000000000000000000000000000000000000
--- a/spaces/tomzhang1019/ChatGPT/ChuanhuChatbot.py
+++ /dev/null
@@ -1,474 +0,0 @@
-# -*- coding:utf-8 -*-
-import os
-import logging
-import sys
-
-import gradio as gr
-
-from modules import config
-from modules.config import *
-from modules.utils import *
-from modules.presets import *
-from modules.overwrites import *
-from modules.models.models import get_model
-
-
-gr.Chatbot._postprocess_chat_messages = postprocess_chat_messages
-gr.Chatbot.postprocess = postprocess
-PromptHelper.compact_text_chunks = compact_text_chunks
-
-with open("assets/custom.css", "r", encoding="utf-8") as f:
-    customCSS = f.read()
-
-def create_new_model():
-    return get_model(model_name = MODELS[DEFAULT_MODEL], access_key = my_api_key)[0]
-
-with gr.Blocks(css=customCSS, theme=small_and_beautiful_theme) as demo:
-    user_name = gr.State("")
-    promptTemplates = gr.State(load_template(get_template_names(plain=True)[0], mode=2))
-    user_question = gr.State("")
-    assert type(my_api_key)==str
-    user_api_key = gr.State(my_api_key)
-    current_model = gr.State(create_new_model)
-
-    topic = gr.State(i18n("未命名对话历史记录"))
-
-    with gr.Row():
-        gr.HTML(CHUANHU_TITLE, elem_id="app_title")
-        status_display = gr.Markdown(get_geoip(), elem_id="status_display")
-    with gr.Row(elem_id="float_display"):
-        user_info = gr.Markdown(value="getting user info...", elem_id="user_info")
-
-    with gr.Row().style(equal_height=True):
-        with gr.Column(scale=5):
-            with gr.Row():
-                chatbot = gr.Chatbot(label="Chuanhu Chat", elem_id="chuanhu_chatbot").style(height="100%")
-            with gr.Row():
-                with gr.Column(min_width=225, scale=12):
-                    user_input = gr.Textbox(
-                        elem_id="user_input_tb",
-                        show_label=False, placeholder=i18n("在这里输入")
-                    ).style(container=False)
-                with gr.Column(min_width=42, scale=1):
-                    submitBtn = gr.Button(value="", variant="primary", elem_id="submit_btn")
-                    cancelBtn = gr.Button(value="", variant="secondary", visible=False, elem_id="cancel_btn")
-            with gr.Row():
-                emptyBtn = gr.Button(
-                    i18n("🧹 新的对话"), elem_id="empty_btn"
-                )
-                retryBtn = gr.Button(i18n("🔄 重新生成"))
-                delFirstBtn = gr.Button(i18n("🗑️ 删除最旧对话"))
-                delLastBtn = gr.Button(i18n("🗑️ 删除最新对话"))
-                with gr.Row(visible=False) as like_dislike_area:
-                    with gr.Column(min_width=20, scale=1):
-                        likeBtn = gr.Button(i18n("👍"))
-                    with gr.Column(min_width=20, scale=1):
-                        dislikeBtn = gr.Button(i18n("👎"))
-
-        with gr.Column():
-            with gr.Column(min_width=50, scale=1):
-                with gr.Tab(label=i18n("模型")):
-                    keyTxt = gr.Textbox(
-                        show_label=True,
-                        placeholder=f"Your API-key...",
-                        value=hide_middle_chars(user_api_key.value),
-                        type="password",
-                        visible=not HIDE_MY_KEY,
-                        label="API-Key",
-                    )
-                    if multi_api_key:
-                        usageTxt = gr.Markdown(i18n("多账号模式已开启，无需输入key，可直接开始对话"), elem_id="usage_display", elem_classes="insert_block")
-                    else:
-                        usageTxt = gr.Markdown(i18n("**发送消息** 或 **提交key** 以显示额度"), elem_id="usage_display", elem_classes="insert_block")
-                    model_select_dropdown = gr.Dropdown(
-                        label=i18n("选择模型"), choices=MODELS, multiselect=False, value=MODELS[DEFAULT_MODEL], interactive=True
-                    )
-                    lora_select_dropdown = gr.Dropdown(
-                        label=i18n("选择LoRA模型"), choices=[], multiselect=False, interactive=True, visible=False
-                    )
-                    with gr.Row():
-                        single_turn_checkbox = gr.Checkbox(label=i18n("单轮对话"), value=False)
-                        use_websearch_checkbox = gr.Checkbox(label=i18n("使用在线搜索"), value=False)
-                        # render_latex_checkbox = gr.Checkbox(label=i18n("渲染LaTeX公式"), value=render_latex, interactive=True, elem_id="render_latex_checkbox")
-                    language_select_dropdown = gr.Dropdown(
-                        label=i18n("选择回复语言（针对搜索&索引功能）"),
-                        choices=REPLY_LANGUAGES,
-                        multiselect=False,
-                        value=REPLY_LANGUAGES[0],
-                    )
-                    index_files = gr.Files(label=i18n("上传"), type="file")
-                    two_column = gr.Checkbox(label=i18n("双栏pdf"), value=advance_docs["pdf"].get("two_column", False))
-                    # TODO: 公式ocr
-                    # formula_ocr = gr.Checkbox(label=i18n("识别公式"), value=advance_docs["pdf"].get("formula_ocr", False))
-
-                with gr.Tab(label="Prompt"):
-                    systemPromptTxt = gr.Textbox(
-                        show_label=True,
-                        placeholder=i18n("在这里输入System Prompt..."),
-                        label="System prompt",
-                        value=INITIAL_SYSTEM_PROMPT,
-                        lines=10,
-                    ).style(container=False)
-                    with gr.Accordion(label=i18n("加载Prompt模板"), open=True):
-                        with gr.Column():
-                            with gr.Row():
-                                with gr.Column(scale=6):
-                                    templateFileSelectDropdown = gr.Dropdown(
-                                        label=i18n("选择Prompt模板集合文件"),
-                                        choices=get_template_names(plain=True),
-                                        multiselect=False,
-                                        value=get_template_names(plain=True)[0],
-                                    ).style(container=False)
-                                with gr.Column(scale=1):
-                                    templateRefreshBtn = gr.Button(i18n("🔄 刷新"))
-                            with gr.Row():
-                                with gr.Column():
-                                    templateSelectDropdown = gr.Dropdown(
-                                        label=i18n("从Prompt模板中加载"),
-                                        choices=load_template(
-                                            get_template_names(plain=True)[0], mode=1
-                                        ),
-                                        multiselect=False,
-                                    ).style(container=False)
-
-                with gr.Tab(label=i18n("保存/加载")):
-                    with gr.Accordion(label=i18n("保存/加载对话历史记录"), open=True):
-                        with gr.Column():
-                            with gr.Row():
-                                with gr.Column(scale=6):
-                                    historyFileSelectDropdown = gr.Dropdown(
-                                        label=i18n("从列表中加载对话"),
-                                        choices=get_history_names(plain=True),
-                                        multiselect=False
-                                    )
-                                with gr.Column(scale=1):
-                                    historyRefreshBtn = gr.Button(i18n("🔄 刷新"))
-                            with gr.Row():
-                                with gr.Column(scale=6):
-                                    saveFileName = gr.Textbox(
-                                        show_label=True,
-                                        placeholder=i18n("设置文件名: 默认为.json，可选为.md"),
-                                        label=i18n("设置保存文件名"),
-                                        value=i18n("对话历史记录"),
-                                    ).style(container=True)
-                                with gr.Column(scale=1):
-                                    saveHistoryBtn = gr.Button(i18n("💾 保存对话"))
-                                    exportMarkdownBtn = gr.Button(i18n("📝 导出为Markdown"))
-                                    gr.Markdown(i18n("默认保存于history文件夹"))
-                            with gr.Row():
-                                with gr.Column():
-                                    downloadFile = gr.File(interactive=True)
-
-                with gr.Tab(label=i18n("高级")):
-                    gr.Markdown(i18n("# ⚠️ 务必谨慎更改 ⚠️\n\n如果无法使用请恢复默认设置"))
-                    gr.HTML(APPEARANCE_SWITCHER, elem_classes="insert_block")
-                    use_streaming_checkbox = gr.Checkbox(
-                            label=i18n("实时传输回答"), value=True, visible=ENABLE_STREAMING_OPTION
-                        )
-                    with gr.Accordion(i18n("参数"), open=False):
-                        temperature_slider = gr.Slider(
-                            minimum=-0,
-                            maximum=2.0,
-                            value=1.0,
-                            step=0.1,
-                            interactive=True,
-                            label="temperature",
-                        )
-                        top_p_slider = gr.Slider(
-                            minimum=-0,
-                            maximum=1.0,
-                            value=1.0,
-                            step=0.05,
-                            interactive=True,
-                            label="top-p",
-                        )
-                        n_choices_slider = gr.Slider(
-                            minimum=1,
-                            maximum=10,
-                            value=1,
-                            step=1,
-                            interactive=True,
-                            label="n choices",
-                        )
-                        stop_sequence_txt = gr.Textbox(
-                            show_label=True,
-                            placeholder=i18n("在这里输入停止符，用英文逗号隔开..."),
-                            label="stop",
-                            value="",
-                            lines=1,
-                        )
-                        max_context_length_slider = gr.Slider(
-                            minimum=1,
-                            maximum=32768,
-                            value=2000,
-                            step=1,
-                            interactive=True,
-                            label="max context",
-                        )
-                        max_generation_slider = gr.Slider(
-                            minimum=1,
-                            maximum=32768,
-                            value=1000,
-                            step=1,
-                            interactive=True,
-                            label="max generations",
-                        )
-                        presence_penalty_slider = gr.Slider(
-                            minimum=-2.0,
-                            maximum=2.0,
-                            value=0.0,
-                            step=0.01,
-                            interactive=True,
-                            label="presence penalty",
-                        )
-                        frequency_penalty_slider = gr.Slider(
-                            minimum=-2.0,
-                            maximum=2.0,
-                            value=0.0,
-                            step=0.01,
-                            interactive=True,
-                            label="frequency penalty",
-                        )
-                        logit_bias_txt = gr.Textbox(
-                            show_label=True,
-                            placeholder=f"word:likelihood",
-                            label="logit bias",
-                            value="",
-                            lines=1,
-                        )
-                        user_identifier_txt = gr.Textbox(
-                            show_label=True,
-                            placeholder=i18n("用于定位滥用行为"),
-                            label=i18n("用户名"),
-                            value=user_name.value,
-                            lines=1,
-                        )
-
-                    with gr.Accordion(i18n("网络设置"), open=False, visible=False):
-                        # 优先展示自定义的api_host
-                        apihostTxt = gr.Textbox(
-                            show_label=True,
-                            placeholder=i18n("在这里输入API-Host..."),
-                            label="API-Host",
-                            value=config.api_host or shared.API_HOST,
-                            lines=1,
-                        )
-                        changeAPIURLBtn = gr.Button(i18n("🔄 切换API地址"))
-                        proxyTxt = gr.Textbox(
-                            show_label=True,
-                            placeholder=i18n("在这里输入代理地址..."),
-                            label=i18n("代理地址（示例：http://127.0.0.1:10809）"),
-                            value="",
-                            lines=2,
-                        )
-                        changeProxyBtn = gr.Button(i18n("🔄 设置代理地址"))
-                        default_btn = gr.Button(i18n("🔙 恢复默认设置"))
-
-    gr.Markdown(CHUANHU_DESCRIPTION, elem_id="description")
-    gr.HTML(FOOTER.format(versions=versions_html()), elem_id="footer")
-
-    # https://github.com/gradio-app/gradio/pull/3296
-    def create_greeting(request: gr.Request):
-        if hasattr(request, "username") and request.username: # is not None or is not ""
-            logging.info(f"Get User Name: {request.username}")
-            user_info, user_name = gr.Markdown.update(value=f"User: {request.username}"), request.username
-        else:
-            user_info, user_name = gr.Markdown.update(value=f"", visible=False), ""
-        current_model = get_model(model_name = MODELS[DEFAULT_MODEL], access_key = my_api_key)[0]
-        current_model.set_user_identifier(user_name)
-        chatbot = gr.Chatbot.update(label=MODELS[DEFAULT_MODEL])
-        return user_info, user_name, current_model, toggle_like_btn_visibility(DEFAULT_MODEL), *current_model.auto_load(), get_history_names(False, user_name), chatbot
-    demo.load(create_greeting, inputs=None, outputs=[user_info, user_name, current_model, like_dislike_area, systemPromptTxt, chatbot, historyFileSelectDropdown, chatbot], api_name="load")
-    chatgpt_predict_args = dict(
-        fn=predict,
-        inputs=[
-            current_model,
-            user_question,
-            chatbot,
-            use_streaming_checkbox,
-            use_websearch_checkbox,
-            index_files,
-            language_select_dropdown,
-        ],
-        outputs=[chatbot, status_display],
-        show_progress=True,
-    )
-
-    start_outputing_args = dict(
-        fn=start_outputing,
-        inputs=[],
-        outputs=[submitBtn, cancelBtn],
-        show_progress=True,
-    )
-
-    end_outputing_args = dict(
-        fn=end_outputing, inputs=[], outputs=[submitBtn, cancelBtn]
-    )
-
-    reset_textbox_args = dict(
-        fn=reset_textbox, inputs=[], outputs=[user_input]
-    )
-
-    transfer_input_args = dict(
-        fn=transfer_input, inputs=[user_input], outputs=[user_question, user_input, submitBtn, cancelBtn], show_progress=True
-    )
-
-    get_usage_args = dict(
-        fn=billing_info, inputs=[current_model], outputs=[usageTxt], show_progress=False
-    )
-
-    load_history_from_file_args = dict(
-        fn=load_chat_history,
-        inputs=[current_model, historyFileSelectDropdown, user_name],
-        outputs=[saveFileName, systemPromptTxt, chatbot]
-    )
-
-
-    # Chatbot
-    cancelBtn.click(interrupt, [current_model], [])
-
-    user_input.submit(**transfer_input_args).then(**chatgpt_predict_args).then(**end_outputing_args)
-    user_input.submit(**get_usage_args)
-
-    submitBtn.click(**transfer_input_args).then(**chatgpt_predict_args, api_name="predict").then(**end_outputing_args)
-    submitBtn.click(**get_usage_args)
-
-    index_files.change(handle_file_upload, [current_model, index_files, chatbot], [index_files, chatbot, status_display])
-
-    emptyBtn.click(
-        reset,
-        inputs=[current_model],
-        outputs=[chatbot, status_display],
-        show_progress=True,
-    )
-
-    retryBtn.click(**start_outputing_args).then(
-        retry,
-        [
-            current_model,
-            chatbot,
-            use_streaming_checkbox,
-            use_websearch_checkbox,
-            index_files,
-            language_select_dropdown,
-        ],
-        [chatbot, status_display],
-        show_progress=True,
-    ).then(**end_outputing_args)
-    retryBtn.click(**get_usage_args)
-
-    delFirstBtn.click(
-        delete_first_conversation,
-        [current_model],
-        [status_display],
-    )
-
-    delLastBtn.click(
-        delete_last_conversation,
-        [current_model, chatbot],
-        [chatbot, status_display],
-        show_progress=False
-    )
-
-    likeBtn.click(
-        like,
-        [current_model],
-        [status_display],
-        show_progress=False
-    )
-
-    dislikeBtn.click(
-        dislike,
-        [current_model],
-        [status_display],
-        show_progress=False
-    )
-
-    two_column.change(update_doc_config, [two_column], None)
-
-    # LLM Models
-    keyTxt.change(set_key, [current_model, keyTxt], [user_api_key, status_display], api_name="set_key").then(**get_usage_args)
-    keyTxt.submit(**get_usage_args)
-    single_turn_checkbox.change(set_single_turn, [current_model, single_turn_checkbox], None)
-    model_select_dropdown.change(get_model, [model_select_dropdown, lora_select_dropdown, user_api_key, temperature_slider, top_p_slider, systemPromptTxt, user_name], [current_model, status_display, chatbot, lora_select_dropdown], show_progress=True, api_name="get_model")
-    model_select_dropdown.change(toggle_like_btn_visibility, [model_select_dropdown], [like_dislike_area], show_progress=False)
-    lora_select_dropdown.change(get_model, [model_select_dropdown, lora_select_dropdown, user_api_key, temperature_slider, top_p_slider, systemPromptTxt, user_name], [current_model, status_display, chatbot], show_progress=True)
-
-    # Template
-    systemPromptTxt.change(set_system_prompt, [current_model, systemPromptTxt], None)
-    templateRefreshBtn.click(get_template_names, None, [templateFileSelectDropdown])
-    templateFileSelectDropdown.change(
-        load_template,
-        [templateFileSelectDropdown],
-        [promptTemplates, templateSelectDropdown],
-        show_progress=True,
-    )
-    templateSelectDropdown.change(
-        get_template_content,
-        [promptTemplates, templateSelectDropdown, systemPromptTxt],
-        [systemPromptTxt],
-        show_progress=True,
-    )
-
-    # S&L
-    saveHistoryBtn.click(
-        save_chat_history,
-        [current_model, saveFileName, chatbot, user_name],
-        downloadFile,
-        show_progress=True,
-    )
-    saveHistoryBtn.click(get_history_names, [gr.State(False), user_name], [historyFileSelectDropdown])
-    exportMarkdownBtn.click(
-        export_markdown,
-        [current_model, saveFileName, chatbot, user_name],
-        downloadFile,
-        show_progress=True,
-    )
-    historyRefreshBtn.click(get_history_names, [gr.State(False), user_name], [historyFileSelectDropdown])
-    historyFileSelectDropdown.change(**load_history_from_file_args)
-    downloadFile.change(upload_chat_history, [current_model, downloadFile, user_name], [saveFileName, systemPromptTxt, chatbot])
-
-    # Advanced
-    max_context_length_slider.change(set_token_upper_limit, [current_model, max_context_length_slider], None)
-    temperature_slider.change(set_temperature, [current_model, temperature_slider], None)
-    top_p_slider.change(set_top_p, [current_model, top_p_slider], None)
-    n_choices_slider.change(set_n_choices, [current_model, n_choices_slider], None)
-    stop_sequence_txt.change(set_stop_sequence, [current_model, stop_sequence_txt], None)
-    max_generation_slider.change(set_max_tokens, [current_model, max_generation_slider], None)
-    presence_penalty_slider.change(set_presence_penalty, [current_model, presence_penalty_slider], None)
-    frequency_penalty_slider.change(set_frequency_penalty, [current_model, frequency_penalty_slider], None)
-    logit_bias_txt.change(set_logit_bias, [current_model, logit_bias_txt], None)
-    user_identifier_txt.change(set_user_identifier, [current_model, user_identifier_txt], None)
-
-    default_btn.click(
-        reset_default, [], [apihostTxt, proxyTxt, status_display], show_progress=True
-    )
-    changeAPIURLBtn.click(
-        change_api_host,
-        [apihostTxt],
-        [status_display],
-        show_progress=True,
-    )
-    changeProxyBtn.click(
-        change_proxy,
-        [proxyTxt],
-        [status_display],
-        show_progress=True,
-    )
-
-logging.info(
-    colorama.Back.GREEN
-    + "\n川虎的温馨提示：访问 http://localhost:7860 查看界面"
-    + colorama.Style.RESET_ALL
-)
-# 默认开启本地服务器，默认可以直接从IP访问，默认不创建公开分享链接
-demo.title = i18n("川虎Chat 🚀")
-
-if __name__ == "__main__":
-    reload_javascript()
-    demo.queue(concurrency_count=CONCURRENT_COUNT).launch(
-        favicon_path="./assets/favicon.ico",
-    )
-    # demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", server_port=7860, share=False) # 可自定义端口
-    # demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", server_port=7860,auth=("在这里填写用户名", "在这里填写密码")) # 可设置用户名与密码
-    # demo.queue(concurrency_count=CONCURRENT_COUNT).launch(auth=("在这里填写用户名", "在这里填写密码")) # 适合Nginx反向代理
diff --git a/spaces/tonyassi/video-face-swap/DeepFakeAI/uis/components/about.py b/spaces/tonyassi/video-face-swap/DeepFakeAI/uis/components/about.py
deleted file mode 100644
index 8e7beed10c76eb9d3d6900563aa2be23897beb28..0000000000000000000000000000000000000000
--- a/spaces/tonyassi/video-face-swap/DeepFakeAI/uis/components/about.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from typing import Optional
-import gradio
-
-from DeepFakeAI import metadata
-
-ABOUT_HTML : Optional[gradio.HTML] = None
-
-
-def render() -> None:
-	global ABOUT_HTML
-
-	with gradio.Box():
-		ABOUT_HTML = gradio.HTML('<center><a href="' + metadata.get('url') + '">' + metadata.get('name') + ' ' + metadata.get('version') + '</a></center>')
diff --git a/spaces/triple-t/ttt-space/frontend/README.md b/spaces/triple-t/ttt-space/frontend/README.md
deleted file mode 100644
index 5c91169b0ca6508bb24301c957a9edea5abf2b01..0000000000000000000000000000000000000000
--- a/spaces/triple-t/ttt-space/frontend/README.md
+++ /dev/null
@@ -1,38 +0,0 @@
-# create-svelte
-
-Everything you need to build a Svelte project, powered by [`create-svelte`](https://github.com/sveltejs/kit/tree/master/packages/create-svelte).
-
-## Creating a project
-
-If you're seeing this, you've probably already done this step. Congrats!
-
-```bash
-# create a new project in the current directory
-npm create svelte@latest
-
-# create a new project in my-app
-npm create svelte@latest my-app
-```
-
-## Developing
-
-Once you've created a project and installed dependencies with `npm install` (or `pnpm install` or `yarn`), start a development server:
-
-```bash
-npm run dev
-
-# or start the server and open the app in a new browser tab
-npm run dev -- --open
-```
-
-## Building
-
-To create a production version of your app:
-
-```bash
-npm run build
-```
-
-You can preview the production build with `npm run preview`.
-
-> To deploy your app, you may need to install an [adapter](https://kit.svelte.dev/docs/adapters) for your target environment.
diff --git a/spaces/trttung1610/musicgen/audiocraft/solvers/base.py b/spaces/trttung1610/musicgen/audiocraft/solvers/base.py
deleted file mode 100644
index 0432e44a36838c5731711f9d54f81822b21f20bd..0000000000000000000000000000000000000000
--- a/spaces/trttung1610/musicgen/audiocraft/solvers/base.py
+++ /dev/null
@@ -1,631 +0,0 @@
-# Copyright (c) Meta Platforms, Inc. and affiliates.
-# All rights reserved.
-#
-# This source code is licensed under the license found in the
-# LICENSE file in the root directory of this source tree.
-
-from abc import ABC, abstractmethod
-from contextlib import contextmanager
-from pathlib import Path
-import typing as tp
-
-import flashy
-import omegaconf
-import torch
-from torch import nn
-
-from .. import optim
-from ..optim import fsdp
-from ..utils import checkpoint
-from ..utils.autocast import TorchAutocast
-from ..utils.best_state import BestStateDictManager
-from ..utils.deadlock import DeadlockDetect
-from ..utils.profiler import Profiler
-from ..utils.utils import copy_state, dict_from_config, model_hash, with_rank_rng
-
-
-class StandardSolver(ABC, flashy.BaseSolver):
-    """Standard solver for AudioCraft.
-
-    The standard solver implements a base training loop with the following stages:
-    train, valid, evaluate and generate that are expected to be all defined for
-    solvers in AudioCraft. It also provides a nice default management of Dora history replay,
-    checkpoint management across epoch, and logging configuration.
-
-    AudioCraft solvers must inherit from the StandardSolver and define the methods
-    associated to each stage as well as the show, build_model and build_dataloaders methods.
-    """
-    def __init__(self, cfg: omegaconf.DictConfig):
-        super().__init__()
-        self.logger.info(f"Instantiating solver {self.__class__.__name__} for XP {self.xp.sig}")
-        self.logger.info(f"All XP logs are stored in {self.xp.folder}")
-        self.cfg = cfg
-        self.device = cfg.device
-        self.model: nn.Module
-        self._continue_best_source_keys = ['best_state', 'fsdp_best_state']
-        self._fsdp_modules: tp.List[fsdp.FSDP] = []
-        self._ema_sources: nn.ModuleDict = nn.ModuleDict()
-        self.ema: tp.Optional[optim.ModuleDictEMA] = None
-        self.dataloaders: tp.Dict[str, torch.utils.data.DataLoader] = dict()
-        self._log_updates = self.cfg.logging.get('log_updates', 10)
-        if self.cfg.logging.log_tensorboard:
-            self.init_tensorboard(**self.cfg.get('tensorboard'))
-        if self.cfg.logging.log_wandb and self:
-            self.init_wandb(**self.cfg.get('wandb'))
-        # keep a copy of the best performing state for stateful objects
-        # used for evaluation and generation stages
-        dtype_best: tp.Optional[torch.dtype] = None
-        if self.cfg.fsdp.use:
-            dtype_best = getattr(torch, self.cfg.fsdp.param_dtype)  # type: ignore
-            assert isinstance(dtype_best, torch.dtype)
-        elif self.cfg.autocast:
-            dtype_best = getattr(torch, self.cfg.autocast_dtype)  # type: ignore
-            assert isinstance(dtype_best, torch.dtype)
-        self.best_state: BestStateDictManager = BestStateDictManager(dtype=dtype_best)
-        # Hacky support for keeping a copy of the full best state in rank0.
-        self.fsdp_best_state: tp.Dict[str, tp.Any] = {}
-        self.register_stateful('best_state', 'fsdp_best_state')  # register best_state object to keep it in state_dict
-        self._new_best_state: bool = False  # should save a new checkpoint
-        # instantiate datasets and appropriate number of updates per epoch
-        self.build_dataloaders()
-        if self.cfg.execute_only is None:
-            assert 'train' in self.dataloaders, "The train dataset split must be provided."
-            assert 'valid' in self.dataloaders, "The valid dataset split must be provided."
-        self.train_updates_per_epoch = len(self.dataloaders['train']) if 'train' in self.dataloaders else 0
-        if self.cfg.optim.updates_per_epoch:
-            self.train_updates_per_epoch = self.cfg.optim.updates_per_epoch
-        self.total_updates = self.train_updates_per_epoch * self.cfg.optim.epochs
-        # instantiate model & exponential moving average on the model
-        self.build_model()
-        self.logger.info("Model hash: %s", model_hash(self.model))
-        assert 'model' in self.stateful.sources, \
-            "Please register the model to stateful with self.register_stateful('model') in build_model."
-        self.profiler = Profiler(self.model, **self.cfg.profiler)
-        self.initialize_ema()
-        self.register_stateful('ema')
-        assert self.ema is None or 'ema' in self.stateful.sources, \
-            "Please register the ema to stateful with self.register_stateful('ema') in build_model."
-        self.deadlock_detect = DeadlockDetect(**self.cfg.deadlock)
-        # basic statistics on the trained model
-        model_size = sum(p.numel() for p in self.model.parameters() if p.requires_grad) / 1e6
-        # one copy of grad, one copy of momentum, one copy of denominator and model weights.
-        # and 4 bytes for each float!
-        mem_usage = model_size * 4 * 4 / 1000
-        self.logger.info("Model size: %.2f M params", model_size)
-        self.logger.info("Base memory usage, with model, grad and optim: %.2f GB", mem_usage)
-
-    @property
-    def autocast(self):
-        """Convenient autocast (or not) using the solver configuration."""
-        return TorchAutocast(enabled=self.cfg.autocast, device_type=self.device, dtype=self.autocast_dtype)
-
-    def _get_state_source(self, name) -> flashy.state.StateDictSource:
-        # Internal utility to get a state source from the solver
-        return self.stateful.sources[name]
-
-    @property
-    def best_metric_name(self) -> tp.Optional[str]:
-        """Metric name used to identify the best state. This metric should be stored in the metrics
-        used on the stage for best state identification (most likely, `valid`). If None, then
-        no best state is saved.
-        """
-        return None
-
-    def register_best_state(self, *args: str):
-        """Register state sources in `BestStateDictManager` to keep their best states along with their
-        latest states. The best state will be used at evaluation stages instead of the latest states.
-
-        Shortcut around `BestStateDictManager.register` method. You can pass any number of
-        attribute, included nested attributes and those will be included into the checkpoints
-        and automatically restored when `BaseSolver.restore` is called.
-        """
-        for name in args:
-            state_source = self._get_state_source(name)
-            assert name in self.stateful.sources, "Registered states in best should be registered in stateful first!"
-            self.best_state.register(name, state_source)
-
-    def register_ema(self, *args: str):
-        """Register state sources for exponential moving average.
-
-        The registered sources are used to instantiate a ModuleDictEMA instance.
-        The ModuleDictEMA keeps a `nn.ModuleDict` module that is updated when self.ema.step() is called
-        and swapped with the original state sources with self.swap_ema_state() method.
-
-        Usage:
-            self.register_ema('model')
-        """
-        assert self.ema is None, "Cannot register state source to already instantiated EMA."
-        for name in args:
-            self._ema_sources[name] = getattr(self, name)
-
-    def wrap_with_fsdp(self, model: torch.nn.Module, *args, **kwargs):
-        model = fsdp.wrap_with_fsdp(self.cfg.fsdp, model, *args, **kwargs)
-        if isinstance(model, fsdp.FSDP):
-            self._fsdp_modules.append(model)
-        return model
-
-    def update_best_state_from_stage(self, stage_name: str = 'valid'):
-        """Update latest best state based on pending metrics of a given stage. This method relies
-        on the `BestStateDictManager.update` method to update the best state_dict with latest weights
-        if the registered states happen to match to the best performing setup.
-        """
-        if self.best_metric_name is None:
-            # when no best metric is defined, the last state is always the best
-            self._new_best_state = True
-            self.logger.info("Updating best state with current state.")
-        else:
-            assert stage_name in self._pending_metrics, f"Metrics for stage {stage_name} not found."
-            assert self.best_metric_name in self._pending_metrics[stage_name], \
-                f"Best metric not found in {stage_name} metrics. Cannot register best state"
-            current_score = self._pending_metrics[stage_name][self.best_metric_name]
-            all_best_metric_scores = [
-                past_metrics[stage_name][self.best_metric_name]
-                for past_metrics in self.history
-            ]
-            all_best_metric_scores.append(current_score)
-            best_score = min(all_best_metric_scores)
-            self._new_best_state = current_score == best_score
-            if self._new_best_state:
-                old_best = min(all_best_metric_scores[:-1] + [float('inf')])
-                self.logger.info(
-                    f"New best state with {self.best_metric_name}={current_score:.3f} (was {old_best:.3f})")
-
-        if self._new_best_state:
-            if self.cfg.fsdp.use:
-                # this will give an empty state dict on all ranks but the rank 0
-                # which will have a copy in memory of the full model.
-                with fsdp.switch_to_full_state_dict(self._fsdp_modules):
-                    for name in self.best_state.states.keys():
-                        state_source = self._get_state_source(name)
-                        self.best_state.update(name, state_source)
-                    # we save to a different dict.
-                    self.fsdp_best_state.update(self.best_state.state_dict())
-                # We cannot efficiently load fsdp_best_state when using FSDP,
-                # so we have do do a second pass, with the local shards.
-            for name in self.best_state.states.keys():
-                state_source = self._get_state_source(name)
-                self.best_state.update(name, state_source)
-
-    def _load_new_state_dict(self, state_dict: dict) -> dict:
-        old_states = {}
-        for name, new_state in state_dict.items():
-            state_source = self._get_state_source(name)
-            old_states[name] = copy_state(state_source.state_dict())
-            state_source.load_state_dict(new_state)
-        return old_states
-
-    @contextmanager
-    def swap_best_state(self):
-        self.logger.debug(f"Swapping to best state for: {', '.join(self.best_state.state_dict().keys())}")
-        old_states = self._load_new_state_dict(self.best_state.state_dict())
-        try:
-            yield
-        finally:
-            self.logger.debug("Swapping back from best to original state")
-            for name, old_state in old_states.items():
-                state_source = self._get_state_source(name)
-                state_source.load_state_dict(old_state)
-
-    @contextmanager
-    def swap_ema_state(self):
-        if self.ema is None:
-            yield
-        else:
-            ema_state_dict = self.ema.state_dict()['state']
-            self.logger.debug(f"Swapping to EMA state for: {', '.join(ema_state_dict.keys())}")
-            old_states = self._load_new_state_dict(ema_state_dict)
-            try:
-                yield
-            finally:
-                self.logger.debug("Swapping back from EMA state to original state")
-                for name, old_state in old_states.items():
-                    state_source = self._get_state_source(name)
-                    state_source.load_state_dict(old_state)
-
-    @property
-    def is_training(self):
-        return self.current_stage == 'train'
-
-    def log_model_summary(self, model: nn.Module):
-        """Log model summary, architecture and size of the model."""
-        self.logger.info(model)
-        mb = sum(p.numel() for p in model.parameters()) * 4 / 2 ** 20
-        self.logger.info("Size: %.1f MB", mb)
-
-    @abstractmethod
-    def build_model(self):
-        """Method to implement to initialize model."""
-        ...
-
-    def initialize_ema(self):
-        """Initialize exponential moving average with the registered sources.
-        EMA object is created if the optim.ema.model.decay value is non-null.
-        """
-        from .builders import get_ema
-        self.ema = get_ema(self._ema_sources, self.cfg.optim.ema)
-        if self.ema is None:
-            self.logger.info('No EMA on the model.')
-        else:
-            assert self.cfg.optim.ema.updates > 0
-            self.logger.info(
-                f'Initializing EMA on the model with decay = {self.ema.decay}'
-                f' every {self.cfg.optim.ema.updates} updates'
-            )
-
-    @abstractmethod
-    def build_dataloaders(self):
-        """Method to implement to initialize dataloaders."""
-        ...
-
-    @abstractmethod
-    def show(self):
-        """Method to log any information without running the job."""
-        ...
-
-    @property
-    def log_updates(self):
-        # convenient access to log updates
-        return self._log_updates
-
-    def checkpoint_path(self, **kwargs):
-        kwargs.setdefault('use_fsdp', self.cfg.fsdp.use)
-        return self.folder / checkpoint.checkpoint_name(**kwargs)
-
-    def epoch_checkpoint_path(self, epoch: int, **kwargs):
-        kwargs.setdefault('use_fsdp', self.cfg.fsdp.use)
-        return self.folder / checkpoint.checkpoint_name(str(epoch), **kwargs)
-
-    def checkpoint_path_with_name(self, name: str, **kwargs):
-        kwargs.setdefault('use_fsdp', self.cfg.fsdp.use)
-        return self.folder / checkpoint.checkpoint_name(name=name, **kwargs)
-
-    def save_checkpoints(self):
-        """Save checkpoint, optionally keeping a copy for a given epoch."""
-        is_sharded = self.cfg.fsdp.use
-        if not flashy.distrib.is_rank_zero() and not is_sharded:
-            return
-        self.logger.info("Model hash: %s", model_hash(self.model))
-        state = self.state_dict()
-        epoch = self.epoch - 1  # pushing metrics will increase the epoch in Flashy, so we do -1 here
-
-        # save minimal state_dict as new checkpoint every X epoch
-        if self.cfg.checkpoint.save_every:
-            if epoch % self.cfg.checkpoint.save_every == 0:
-                minimal_state = state
-                if self.cfg.checkpoint.keep_every_states is not None and len(self.cfg.checkpoint.keep_every_states) > 0:
-                    minimal_state = {
-                        name: source for name, source in state.items()
-                        if name in self.cfg.checkpoint.keep_every_states
-                    }
-                epoch_checkpoint_path = self.epoch_checkpoint_path(epoch)
-                checkpoint.save_checkpoint(minimal_state, epoch_checkpoint_path, is_sharded)
-
-        # save checkpoint as latest checkpoint
-        if self.cfg.checkpoint.save_last:
-            last_checkpoint_path = self.checkpoint_path()
-            checkpoint.save_checkpoint(state, last_checkpoint_path, is_sharded)
-
-        # flush any stale checkpoint to reduce disk footprint
-        checkpoint.flush_stale_checkpoints(self.checkpoint_path())
-
-    def load_from_pretrained(self, name: str) -> dict:
-        raise NotImplementedError("Solver does not provide a way to load pretrained models.")
-
-    def load_checkpoints(self, load_best: bool = False, ignore_state_keys: tp.List[str] = []) -> tp.Optional[dict]:
-        """Load last checkpoint or the one specified in continue_from.
-
-        Args:
-            load_best (bool): Whether to load from best state dict or not.
-                Best state dict is always used when not loading the current xp.
-            ignore_state_keys (list of str): List of sources to ignore when loading the state, e.g. `optimizer`.
-        Returns:
-            state (dict, optional): The loaded state dictionary.
-        """
-        # load checkpoints from xp folder or cfg.continue_from
-        is_sharded = self.cfg.fsdp.use
-        load_from_path: tp.Optional[Path] = None
-        checkpoint_source: tp.Optional[checkpoint.CheckpointSource] = None
-
-        if load_best:
-            self.logger.info("Trying to load state_dict from best state.")
-
-        state: tp.Optional[dict] = None
-        rank0_checkpoint_path = self.checkpoint_path(use_fsdp=False)
-        current_checkpoint_path = self.checkpoint_path()
-        _pretrained_prefix = '//pretrained/'
-        continue_pretrained = (self.cfg.continue_from or '').startswith(_pretrained_prefix)
-        if rank0_checkpoint_path.exists():
-            self.logger.info(f"Loading existing checkpoint: {current_checkpoint_path}")
-            load_from_path = current_checkpoint_path
-            checkpoint.check_sharded_checkpoint(current_checkpoint_path, rank0_checkpoint_path)
-            checkpoint_source = checkpoint.CheckpointSource.CURRENT_XP
-        elif self.cfg.continue_from and not continue_pretrained:
-            self.logger.info(f"Continuing from provided checkpoint: {self.cfg.continue_from}")
-            # we're always continuing from consolidated checkpoints: self.cfg.use_fsdp and not continue_best
-            load_from_path = checkpoint.resolve_checkpoint_path(self.cfg.continue_from, use_fsdp=False)
-            if load_from_path is None:
-                self.logger.error('Could not resolve the continue_from checkpoint %s', self.cfg.continue_from)
-                raise RuntimeError(f'Could not resolve continue_from checkpoint {self.cfg.continue_from}')
-            checkpoint_source = checkpoint.CheckpointSource.OTHER
-
-        if load_from_path is not None:
-            state = checkpoint.load_checkpoint(load_from_path, is_sharded)
-        elif continue_pretrained:
-            self.logger.info("Loading a pretrained model. Ignoring 'load_best' and 'ignore_state_keys' params.")
-            state = self.load_from_pretrained(self.cfg.continue_from[len(_pretrained_prefix):])
-            checkpoint_source = checkpoint.CheckpointSource.PRETRAINED
-            load_best = True
-
-        # checkpoints are not from the current xp, we only retrieve the best state
-        if checkpoint_source is not None and checkpoint_source != checkpoint.CheckpointSource.CURRENT_XP:
-            assert state is not None
-            self.logger.info("Checkpoint source is not the current xp: Load state_dict from best state.")
-            load_best = True
-            state = {key: state[key] for key in self._continue_best_source_keys if key in state}
-            # loaded checkpoints are FSDP checkpoints: we're reading the best state
-            # from FSDP and we drop the regular best_state
-            if 'fsdp_best_state' in state and state['fsdp_best_state']:
-                state.pop('best_state', None)
-                self.logger.info("... Loaded checkpoint has FSDP best state")
-            # FSDP is enabled in the solver, if the loaded checkpoints do not have FSDP support
-            # then we're initializing FSDP best state with the regular best state
-            elif self.cfg.fsdp.use:
-                if 'fsdp_best_state' not in state or not state['fsdp_best_state']:
-                    # we swap non-FSDP checkpoints best_state to FSDP-compatible best state
-                    state['fsdp_best_state'] = state.pop('best_state')
-                    self.logger.info("... Loaded checkpoint does not have FSDP best state. Use regular best state")
-
-        if state is not None:
-            if load_best:
-                self.logger.info("Ignoring keys when loading best %r", ignore_state_keys)
-                for key in set(ignore_state_keys):
-                    if key in state:
-                        state.pop(key)
-                has_best_state = 'best_state' in state or 'fsdp_best_state' in state
-                assert has_best_state, ("Trying to load best state but neither 'best_state'",
-                                        " or 'fsdp_best_state' found in checkpoints.")
-            self.load_state_dict(state)
-
-        # for FSDP, let's make extra sure nothing bad happened with out of sync
-        # checkpoints across workers.
-        epoch = float(self.epoch)
-        avg_epoch = flashy.distrib.average_metrics({'epoch': epoch})['epoch']
-        if avg_epoch != epoch:
-            raise RuntimeError(
-                f"Inconsistent loading of checkpoints happened, our epoch is {epoch} "
-                f"but average of epochs is {avg_epoch}, at least one gpu must have a "
-                "different epoch number.")
-
-        # on load_best, properly reinitialize state_dict, best states and ema
-        # otherwise we load from the current xp and don't alter anything
-        if load_best:
-            self.logger.info("Loading state_dict from best state.")
-            if not self.cfg.fsdp.use and self.fsdp_best_state:
-                # loading from an FSDP checkpoint but with FSDP deactivated
-                self.logger.info("... Loading from FSDP best state dict.")
-                self.best_state.load_state_dict(self.fsdp_best_state)
-
-            # if load_best, we permanently override the regular state_dict with the best state
-            if self.cfg.fsdp.use:
-                self.logger.info("FSDP is used, loading from FSDP best state.")
-                with fsdp.switch_to_full_state_dict(self._fsdp_modules):
-                    # this might be really fragile but okay for now.
-                    self.load_state_dict(self.fsdp_best_state)
-            else:
-                # we permanently swap the stateful objects to their best state
-                self._load_new_state_dict(self.best_state.state_dict())
-
-            # the EMA modules should also be instantiated with best state.
-            # the easiest way to do so is to reinitialize a new EMA with best state loaded.
-            if self.ema is not None:
-                self.logger.info("Re-initializing EMA from best state")
-                self.initialize_ema()
-
-            if self.cfg.fsdp.use:
-                self.logger.info("Re-initializing best state after using FSDP best state.")
-                for name in self.best_state.states.keys():
-                    state_source = self._get_state_source(name)
-                    self.best_state.update(name, state_source)
-
-        return state
-
-    def restore(self, load_best: bool = False, replay_metrics: bool = False,
-                ignore_state_keys: tp.List[str] = []) -> bool:
-        """Restore the status of a solver for a given xp.
-
-        Args:
-            load_best (bool): if `True`, load the best state from the checkpoint.
-            replay_metrics (bool): if `True`, logs all the metrics from past epochs.
-            ignore_state_keys (list of str): list of sources to ignore when loading the state, e.g. `optimizer`.
-        """
-        self.logger.info("Restoring weights and history.")
-        restored_checkpoints = self.load_checkpoints(load_best, ignore_state_keys)
-
-        self.logger.info("Model hash: %s", model_hash(self.model))
-
-        if replay_metrics and len(self.history) > 0:
-            self.logger.info("Replaying past metrics...")
-            for epoch, stages in enumerate(self.history):
-                for stage_name, metrics in stages.items():
-                    # We manually log the metrics summary to the result logger
-                    # as we don't want to add them to the pending metrics
-                    self.result_logger._log_summary(stage_name, metrics, step=epoch + 1, step_name='epoch',
-                                                    formatter=self.get_formatter(stage_name))
-        return restored_checkpoints is not None
-
-    def commit(self, save_checkpoints: bool = True):
-        """Commit metrics to dora and save checkpoints at the end of an epoch."""
-        # we override commit to introduce more complex checkpoint saving behaviors
-        self.history.append(self._pending_metrics)  # This will increase self.epoch
-        if save_checkpoints:
-            self.save_checkpoints()
-        self._start_epoch()
-        if flashy.distrib.is_rank_zero():
-            self.xp.link.update_history(self.history)
-
-    def run_epoch(self):
-        """Run a single epoch with all stages.
-
-        Metrics for a given stage are stored in _pending_metrics and committed by the solver afterwards.
-        Children solvers can extend this method with custom behavior, e.g.:
-
-            def run_epoch(self):
-                ... # custom code
-                super().run_epoch()
-                ... # custom code
-        """
-        self.run_stage('train', self.train)
-        with torch.no_grad():
-            with self.swap_ema_state():
-                self.run_stage('valid', self.valid)
-                # the best state is updated with EMA states if available
-                self.update_best_state_from_stage('valid')
-            with self.swap_best_state():
-                if self.should_run_stage('evaluate'):
-                    self.run_stage('evaluate', self.evaluate)
-                if self.should_run_stage('generate'):
-                    self.run_stage('generate', with_rank_rng()(self.generate))
-
-    def run(self):
-        """Training loop."""
-        assert len(self.state_dict()) > 0
-        self.restore(replay_metrics=True)  # load checkpoint and replay history
-        self.log_hyperparams(dict_from_config(self.cfg))
-        for epoch in range(self.epoch, self.cfg.optim.epochs + 1):
-            if self.should_stop_training():
-                return
-            self.run_epoch()
-            # Commit will send the metrics to Dora and save checkpoints by default.
-            self.commit()
-
-    def should_stop_training(self) -> bool:
-        """Check whether we should stop training or not."""
-        return self.epoch > self.cfg.optim.epochs
-
-    def should_run_stage(self, stage_name) -> bool:
-        """Check whether we want to run the specified stages."""
-        stage_every = self.cfg[stage_name].get('every', None)
-        is_last_epoch = self.epoch == self.cfg.optim.epochs
-        is_epoch_every = (stage_every and self.epoch % stage_every == 0)
-        return is_last_epoch or is_epoch_every
-
-    @abstractmethod
-    def run_step(self, idx: int, batch: tp.Any, metrics: dict):
-        """Perform one training or valid step on a given batch."""
-        ...
-
-    def common_train_valid(self, dataset_split: str, **kwargs: tp.Any):
-        """Common logic for train and valid stages."""
-        self.model.train(self.is_training)
-
-        loader = self.dataloaders[dataset_split]
-        # get a different order for distributed training, otherwise this will get ignored
-        if flashy.distrib.world_size() > 1 \
-           and isinstance(loader.sampler, torch.utils.data.distributed.DistributedSampler):
-            loader.sampler.set_epoch(self.epoch)
-        updates_per_epoch = self.train_updates_per_epoch if self.is_training else len(loader)
-        if self.cfg.benchmark_no_load:
-            self.logger.warning("Fake loading for benchmarking: re-using first batch")
-            batch = next(iter(loader))
-            loader = [batch] * updates_per_epoch  # type: ignore
-        lp = self.log_progress(self.current_stage, loader, total=updates_per_epoch, updates=self.log_updates)
-        average = flashy.averager()  # epoch wise average
-        instant_average = flashy.averager()  # average between two logging
-        metrics: dict = {}
-
-        with self.profiler, self.deadlock_detect:  # profiler will only run for the first 20 updates.
-            for idx, batch in enumerate(lp):
-                self.deadlock_detect.update('batch')
-                if idx >= updates_per_epoch:
-                    break
-                metrics = {}
-                metrics = self.run_step(idx, batch, metrics)
-                self.deadlock_detect.update('step')
-                # run EMA step
-                if self.ema is not None and self.is_training and (idx + 1) % self.cfg.optim.ema.updates == 0:
-                    self.logger.debug("EMA model step")
-                    self.ema.step()
-                self.deadlock_detect.update('ema')
-                self.profiler.step()
-                instant_metrics = instant_average(metrics)
-                if lp.update(**instant_metrics):
-                    instant_average = flashy.averager()  # reset averager between two logging
-                metrics = average(metrics)  # epoch wise average
-                self.deadlock_detect.update('end_batch')
-
-        metrics = flashy.distrib.average_metrics(metrics, updates_per_epoch)
-        return metrics
-
-    def train(self):
-        """Train stage."""
-        return self.common_train_valid('train')
-
-    def valid(self):
-        """Valid stage."""
-        return self.common_train_valid('valid')
-
-    @abstractmethod
-    def evaluate(self):
-        """Evaluate stage."""
-        ...
-
-    @abstractmethod
-    def generate(self):
-        """Generate stage."""
-        ...
-
-    def run_one_stage(self, stage_name: str):
-        """Run only the specified stage.
-        This method is useful to only generate samples from a trained experiment
-        or rerun the validation or evaluation stages.
-        """
-        fn = {
-            'generate': with_rank_rng()(self.generate),
-            'evaluate': self.evaluate,
-            'valid': self.valid,
-        }
-        if stage_name not in fn:
-            raise ValueError(f'Trying to run stage {stage_name} is not supported.')
-        assert len(self.state_dict()) > 0
-        self._start_epoch()
-        with torch.no_grad(), self.swap_best_state():
-            self.run_stage(stage_name, fn[stage_name])
-        if not self.cfg.execute_inplace:
-            self.commit(save_checkpoints=False)
-
-    @staticmethod
-    def get_eval_solver_from_sig(sig: str, dtype: tp.Optional[str] = None,
-                                 device: tp.Optional[str] = None, autocast: bool = True,
-                                 batch_size: tp.Optional[int] = None,
-                                 override_cfg: tp.Optional[tp.Union[dict, omegaconf.DictConfig]] = None,
-                                 **kwargs):
-        """Mostly a convenience function around audiocraft.train.get_solver_from_sig,
-        populating all the proper param, deactivating EMA, FSDP, loading the best state,
-        basically all you need to get a solver ready to "play" with in single GPU mode
-        and with minimal memory overhead.
-
-        Args:
-            sig (str): signature to load.
-            dtype (str or None): potential dtype, as a string, i.e. 'float16'.
-            device (str or None): potential device, as a string, i.e. 'cuda'.
-            override_cfg (dict or omegaconf.DictConfig or None): potential device, as a string, i.e. 'cuda'.
-        """
-        from audiocraft import train
-        our_override_cfg: tp.Dict[str, tp.Any] = {'optim': {'ema': {'use': False}}}
-        our_override_cfg['autocast'] = autocast
-        if dtype is not None:
-            our_override_cfg['dtype'] = dtype
-        if device is not None:
-            our_override_cfg['device'] = device
-        if batch_size is not None:
-            our_override_cfg['dataset'] = {'batch_size': batch_size}
-        if override_cfg is None:
-            override_cfg = {}
-        override_cfg = omegaconf.OmegaConf.merge(
-            omegaconf.DictConfig(override_cfg), omegaconf.DictConfig(our_override_cfg))  # type: ignore
-        solver = train.get_solver_from_sig(
-            sig, override_cfg=override_cfg,
-            load_best=True, disable_fsdp=True,
-            ignore_state_keys=['optimizer', 'ema'], **kwargs)
-        solver.model.eval()
-        return solver
diff --git a/spaces/tumuyan/Night_Enhancement/README.md b/spaces/tumuyan/Night_Enhancement/README.md
deleted file mode 100644
index d7035ff1c3154e47ca4f9778130b4b716112254e..0000000000000000000000000000000000000000
--- a/spaces/tumuyan/Night_Enhancement/README.md
+++ /dev/null
@@ -1,13 +0,0 @@
----
-title: Night Enhancement
-emoji: 🌃
-colorFrom: yellow
-colorTo: blue
-sdk: gradio
-sdk_version: 3.16.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
diff --git a/spaces/uSerNameDDHL/bingo/src/pages/api/create.ts b/spaces/uSerNameDDHL/bingo/src/pages/api/create.ts
deleted file mode 100644
index 430bb2d53431e6a2c7608234f512f2d9f577daee..0000000000000000000000000000000000000000
--- a/spaces/uSerNameDDHL/bingo/src/pages/api/create.ts
+++ /dev/null
@@ -1,31 +0,0 @@
-'use server'
-
-import { NextApiRequest, NextApiResponse } from 'next'
-import { fetch, debug } from '@/lib/isomorphic'
-import { createHeaders } from '@/lib/utils'
-
-const API_ENDPOINT = 'https://www.bing.com/turing/conversation/create'
-// const API_ENDPOINT = 'https://edgeservices.bing.com/edgesvc/turing/conversation/create';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const headers = createHeaders(req.cookies)
-
-    res.writeHead(200, {
-      'Content-Type': 'application/json',
-    })
-
-    debug('headers', headers)
-    const response = await fetch(API_ENDPOINT, { method: 'GET', headers })
-      .then((res) => res.text())
-
-    res.end(response)
-  } catch (e) {
-    return res.end(JSON.stringify({
-      result: {
-        value: 'UnauthorizedRequest',
-        message: `${e}`
-      }
-    }))
-  }
-}
diff --git a/spaces/umichVision/virtex-redcaps/virtex/data/datasets/redcaps.py b/spaces/umichVision/virtex-redcaps/virtex/data/datasets/redcaps.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/spaces/usbethFlerru/sovits-modelsV2/example/Armada Balas Dendam BEST Full Album Free Download.md b/spaces/usbethFlerru/sovits-modelsV2/example/Armada Balas Dendam BEST Full Album Free Download.md
deleted file mode 100644
index d3c8a2d5e02ef24770f22f413ce7ce0bbc432f25..0000000000000000000000000000000000000000
--- a/spaces/usbethFlerru/sovits-modelsV2/example/Armada Balas Dendam BEST Full Album Free Download.md	
+++ /dev/null
@@ -1,7 +0,0 @@
-<br />
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diff --git a/spaces/vaishanthr/Simultaneous-Segmented-Depth-Prediction/yolov8/ultralytics/yolo/data/scripts/get_imagenet.sh b/spaces/vaishanthr/Simultaneous-Segmented-Depth-Prediction/yolov8/ultralytics/yolo/data/scripts/get_imagenet.sh
deleted file mode 100644
index d6650a2d0983c497c9d0a4238ff7f8fd3eb2ac4d..0000000000000000000000000000000000000000
--- a/spaces/vaishanthr/Simultaneous-Segmented-Depth-Prediction/yolov8/ultralytics/yolo/data/scripts/get_imagenet.sh
+++ /dev/null
@@ -1,51 +0,0 @@
-#!/bin/bash
-# Ultralytics YOLO 🚀, AGPL-3.0 license
-# Download ILSVRC2012 ImageNet dataset https://image-net.org
-# Example usage: bash data/scripts/get_imagenet.sh
-# parent
-# ├── ultralytics
-# └── datasets
-#     └── imagenet  ← downloads here
-
-# Arguments (optional) Usage: bash data/scripts/get_imagenet.sh --train --val
-if [ "$#" -gt 0 ]; then
-  for opt in "$@"; do
-    case "${opt}" in
-    --train) train=true ;;
-    --val) val=true ;;
-    esac
-  done
-else
-  train=true
-  val=true
-fi
-
-# Make dir
-d='../datasets/imagenet' # unzip directory
-mkdir -p $d && cd $d
-
-# Download/unzip train
-if [ "$train" == "true" ]; then
-  wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_train.tar # download 138G, 1281167 images
-  mkdir train && mv ILSVRC2012_img_train.tar train/ && cd train
-  tar -xf ILSVRC2012_img_train.tar && rm -f ILSVRC2012_img_train.tar
-  find . -name "*.tar" | while read NAME; do
-    mkdir -p "${NAME%.tar}"
-    tar -xf "${NAME}" -C "${NAME%.tar}"
-    rm -f "${NAME}"
-  done
-  cd ..
-fi
-
-# Download/unzip val
-if [ "$val" == "true" ]; then
-  wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_val.tar # download 6.3G, 50000 images
-  mkdir val && mv ILSVRC2012_img_val.tar val/ && cd val && tar -xf ILSVRC2012_img_val.tar
-  wget -qO- https://raw.githubusercontent.com/soumith/imagenetloader.torch/master/valprep.sh | bash # move into subdirs
-fi
-
-# Delete corrupted image (optional: PNG under JPEG name that may cause dataloaders to fail)
-# rm train/n04266014/n04266014_10835.JPEG
-
-# TFRecords (optional)
-# wget https://raw.githubusercontent.com/tensorflow/models/master/research/slim/datasets/imagenet_lsvrc_2015_synsets.txt
diff --git a/spaces/vinthony/SadTalker/src/face3d/models/arcface_torch/README.md b/spaces/vinthony/SadTalker/src/face3d/models/arcface_torch/README.md
deleted file mode 100644
index 2ee63a861229b68873561fa39bfa7c9a8b53b947..0000000000000000000000000000000000000000
--- a/spaces/vinthony/SadTalker/src/face3d/models/arcface_torch/README.md
+++ /dev/null
@@ -1,164 +0,0 @@
-# Distributed Arcface Training in Pytorch
-
-This is a deep learning library that makes face recognition efficient, and effective, which can train tens of millions
-identity on a single server.
-
-## Requirements
-
-- Install [pytorch](http://pytorch.org) (torch>=1.6.0), our doc for [install.md](docs/install.md).
-- `pip install -r requirements.txt`.
-- Download the dataset
-  from [https://github.com/deepinsight/insightface/tree/master/recognition/_datasets_](https://github.com/deepinsight/insightface/tree/master/recognition/_datasets_)
-  .
-
-## How to Training
-
-To train a model, run `train.py` with the path to the configs:
-
-### 1. Single node, 8 GPUs:
-
-```shell
-python -m torch.distributed.launch --nproc_per_node=8 --nnodes=1 --node_rank=0 --master_addr="127.0.0.1" --master_port=1234 train.py configs/ms1mv3_r50
-```
-
-### 2. Multiple nodes, each node 8 GPUs:
-
-Node 0:
-
-```shell
-python -m torch.distributed.launch --nproc_per_node=8 --nnodes=2 --node_rank=0 --master_addr="ip1" --master_port=1234 train.py train.py configs/ms1mv3_r50
-```
-
-Node 1:
-
-```shell
-python -m torch.distributed.launch --nproc_per_node=8 --nnodes=2 --node_rank=1 --master_addr="ip1" --master_port=1234 train.py train.py configs/ms1mv3_r50
-```
-
-### 3.Training resnet2060 with 8 GPUs:
-
-```shell
-python -m torch.distributed.launch --nproc_per_node=8 --nnodes=1 --node_rank=0 --master_addr="127.0.0.1" --master_port=1234 train.py configs/ms1mv3_r2060.py
-```
-
-## Model Zoo
-
-- The models are available for non-commercial research purposes only.  
-- All models can be found in here.  
-- [Baidu Yun Pan](https://pan.baidu.com/s/1CL-l4zWqsI1oDuEEYVhj-g):   e8pw  
-- [onedrive](https://1drv.ms/u/s!AswpsDO2toNKq0lWY69vN58GR6mw?e=p9Ov5d)
-
-### Performance on [**ICCV2021-MFR**](http://iccv21-mfr.com/)
-
-ICCV2021-MFR testset consists of non-celebrities so we can ensure that it has very few overlap with public available face 
-recognition training set, such as MS1M and CASIA as they mostly collected from online celebrities. 
-As the result, we can evaluate the FAIR performance for different algorithms.  
-
-For **ICCV2021-MFR-ALL** set, TAR is measured on all-to-all 1:1 protocal, with FAR less than 0.000001(e-6). The 
-globalised multi-racial testset contains 242,143 identities and 1,624,305 images. 
-
-For **ICCV2021-MFR-MASK** set, TAR is measured on mask-to-nonmask 1:1 protocal, with FAR less than 0.0001(e-4). 
-Mask testset contains 6,964 identities, 6,964 masked images and 13,928 non-masked images. 
-There are totally 13,928 positive pairs and 96,983,824 negative pairs.
-
-| Datasets | backbone  | Training throughout | Size / MB  | **ICCV2021-MFR-MASK** | **ICCV2021-MFR-ALL** |
-| :---:    | :---      | :---                | :---       |:---                   |:---                  |     
-| MS1MV3    | r18  | -              | 91   | **47.85** | **68.33** |
-| Glint360k | r18  | 8536           | 91   | **53.32** | **72.07** |
-| MS1MV3    | r34  | -              | 130  | **58.72** | **77.36** |
-| Glint360k | r34  | 6344           | 130  | **65.10** | **83.02** |
-| MS1MV3    | r50  | 5500           | 166  | **63.85** | **80.53** |
-| Glint360k | r50  | 5136           | 166  | **70.23** | **87.08** |
-| MS1MV3    | r100 | -              | 248  | **69.09** | **84.31** |
-| Glint360k | r100 | 3332           | 248  | **75.57** | **90.66** |
-| MS1MV3    | mobilefacenet | 12185 | 7.8  | **41.52** | **65.26** |        
-| Glint360k | mobilefacenet | 11197 | 7.8  | **44.52** | **66.48** |  
-
-### Performance on IJB-C and Verification Datasets
-
-|   Datasets | backbone      | IJBC(1e-05) | IJBC(1e-04) | agedb30 | cfp_fp | lfw  |  log    |
-| :---:      |    :---       | :---          | :---  | :---  |:---   |:---    |:---     |  
-| MS1MV3     | r18      | 92.07 | 94.66 | 97.77 | 97.73 | 99.77 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r18_fp16/training.log)|         
-| MS1MV3     | r34      | 94.10 | 95.90 | 98.10 | 98.67 | 99.80 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r34_fp16/training.log)|        
-| MS1MV3     | r50      | 94.79 | 96.46 | 98.35 | 98.96 | 99.83 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r50_fp16/training.log)|         
-| MS1MV3     | r100     | 95.31 | 96.81 | 98.48 | 99.06 | 99.85 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r100_fp16/training.log)|        
-| MS1MV3     | **r2060**| 95.34 | 97.11 | 98.67 | 99.24 | 99.87 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/ms1mv3_arcface_r2060_fp16/training.log)|
-| Glint360k  |r18-0.1   | 93.16 | 95.33 | 97.72 | 97.73 | 99.77 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/glint360k_cosface_r18_fp16_0.1/training.log)| 
-| Glint360k  |r34-0.1   | 95.16 | 96.56 | 98.33 | 98.78 | 99.82 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/glint360k_cosface_r34_fp16_0.1/training.log)| 
-| Glint360k  |r50-0.1   | 95.61 | 96.97 | 98.38 | 99.20 | 99.83 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/glint360k_cosface_r50_fp16_0.1/training.log)| 
-| Glint360k  |r100-0.1  | 95.88 | 97.32 | 98.48 | 99.29 | 99.82 |[log](https://raw.githubusercontent.com/anxiangsir/insightface_arcface_log/master/glint360k_cosface_r100_fp16_0.1/training.log)|
-
-[comment]: <> (More details see [model.md]&#40;docs/modelzoo.md&#41; in docs.)
-
-
-## [Speed Benchmark](docs/speed_benchmark.md)
-
-**Arcface Torch** can train large-scale face recognition training set efficiently and quickly. When the number of
-classes in training sets is greater than 300K and the training is sufficient, partial fc sampling strategy will get same
-accuracy with several times faster training performance and smaller GPU memory. 
-Partial FC is a sparse variant of the model parallel architecture for large sacle  face recognition. Partial FC use a 
-sparse softmax, where each batch dynamicly sample a subset of class centers for training. In each iteration, only a 
-sparse part of the parameters will be updated, which can reduce a lot of GPU memory and calculations. With Partial FC, 
-we can scale trainset of 29 millions identities, the largest to date. Partial FC also supports multi-machine distributed 
-training and mixed precision training.
-
-![Image text](https://github.com/anxiangsir/insightface_arcface_log/blob/master/partial_fc_v2.png)
-
-More details see 
-[speed_benchmark.md](docs/speed_benchmark.md) in docs.
-
-### 1. Training speed of different parallel methods (samples / second), Tesla V100 32GB * 8. (Larger is better)
-
-`-` means training failed because of gpu memory limitations.
-
-| Number of Identities in Dataset | Data Parallel | Model Parallel | Partial FC 0.1 |
-| :---    | :--- | :--- | :--- |
-|125000   | 4681         | 4824          | 5004     |
-|1400000  | **1672**     | 3043          | 4738     |
-|5500000  | **-**        | **1389**      | 3975     |
-|8000000  | **-**        | **-**         | 3565     |
-|16000000 | **-**        | **-**         | 2679     |
-|29000000 | **-**        | **-**         | **1855** |
-
-### 2. GPU memory cost of different parallel methods (MB per GPU), Tesla V100 32GB * 8. (Smaller is better)
-
-| Number of Identities in Dataset | Data Parallel | Model Parallel | Partial FC 0.1 |
-| :---    | :---      | :---      | :---  |
-|125000   | 7358      | 5306      | 4868  |
-|1400000  | 32252     | 11178     | 6056  |
-|5500000  | **-**     | 32188     | 9854  |
-|8000000  | **-**     | **-**     | 12310 |
-|16000000 | **-**     | **-**     | 19950 |
-|29000000 | **-**     | **-**     | 32324 |
-
-## Evaluation ICCV2021-MFR and IJB-C
-
-More details see [eval.md](docs/eval.md) in docs.
-
-## Test
-
-We tested many versions of PyTorch. Please create an issue if you are having trouble.  
-
-- [x] torch 1.6.0
-- [x] torch 1.7.1
-- [x] torch 1.8.0
-- [x] torch 1.9.0
-
-## Citation
-
-```
-@inproceedings{deng2019arcface,
-  title={Arcface: Additive angular margin loss for deep face recognition},
-  author={Deng, Jiankang and Guo, Jia and Xue, Niannan and Zafeiriou, Stefanos},
-  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
-  pages={4690--4699},
-  year={2019}
-}
-@inproceedings{an2020partical_fc,
-  title={Partial FC: Training 10 Million Identities on a Single Machine},
-  author={An, Xiang and Zhu, Xuhan and Xiao, Yang and Wu, Lan and Zhang, Ming and Gao, Yuan and Qin, Bin and
-  Zhang, Debing and Fu Ying},
-  booktitle={Arxiv 2010.05222},
-  year={2020}
-}
-```
diff --git a/spaces/vumichien/canvas_controlnet/annotator/uniformer/mmcv/parallel/data_container.py b/spaces/vumichien/canvas_controlnet/annotator/uniformer/mmcv/parallel/data_container.py
deleted file mode 100644
index cedb0d32a51a1f575a622b38de2cee3ab4757821..0000000000000000000000000000000000000000
--- a/spaces/vumichien/canvas_controlnet/annotator/uniformer/mmcv/parallel/data_container.py
+++ /dev/null
@@ -1,89 +0,0 @@
-# Copyright (c) OpenMMLab. All rights reserved.
-import functools
-
-import torch
-
-
-def assert_tensor_type(func):
-
-    @functools.wraps(func)
-    def wrapper(*args, **kwargs):
-        if not isinstance(args[0].data, torch.Tensor):
-            raise AttributeError(
-                f'{args[0].__class__.__name__} has no attribute '
-                f'{func.__name__} for type {args[0].datatype}')
-        return func(*args, **kwargs)
-
-    return wrapper
-
-
-class DataContainer:
-    """A container for any type of objects.
-
-    Typically tensors will be stacked in the collate function and sliced along
-    some dimension in the scatter function. This behavior has some limitations.
-    1. All tensors have to be the same size.
-    2. Types are limited (numpy array or Tensor).
-
-    We design `DataContainer` and `MMDataParallel` to overcome these
-    limitations. The behavior can be either of the following.
-
-    - copy to GPU, pad all tensors to the same size and stack them
-    - copy to GPU without stacking
-    - leave the objects as is and pass it to the model
-    - pad_dims specifies the number of last few dimensions to do padding
-    """
-
-    def __init__(self,
-                 data,
-                 stack=False,
-                 padding_value=0,
-                 cpu_only=False,
-                 pad_dims=2):
-        self._data = data
-        self._cpu_only = cpu_only
-        self._stack = stack
-        self._padding_value = padding_value
-        assert pad_dims in [None, 1, 2, 3]
-        self._pad_dims = pad_dims
-
-    def __repr__(self):
-        return f'{self.__class__.__name__}({repr(self.data)})'
-
-    def __len__(self):
-        return len(self._data)
-
-    @property
-    def data(self):
-        return self._data
-
-    @property
-    def datatype(self):
-        if isinstance(self.data, torch.Tensor):
-            return self.data.type()
-        else:
-            return type(self.data)
-
-    @property
-    def cpu_only(self):
-        return self._cpu_only
-
-    @property
-    def stack(self):
-        return self._stack
-
-    @property
-    def padding_value(self):
-        return self._padding_value
-
-    @property
-    def pad_dims(self):
-        return self._pad_dims
-
-    @assert_tensor_type
-    def size(self, *args, **kwargs):
-        return self.data.size(*args, **kwargs)
-
-    @assert_tensor_type
-    def dim(self):
-        return self.data.dim()
diff --git a/spaces/vumichien/canvas_controlnet/annotator/uniformer/mmseg/core/seg/__init__.py b/spaces/vumichien/canvas_controlnet/annotator/uniformer/mmseg/core/seg/__init__.py
deleted file mode 100644
index 93bc129b685e4a3efca2cc891729981b2865900d..0000000000000000000000000000000000000000
--- a/spaces/vumichien/canvas_controlnet/annotator/uniformer/mmseg/core/seg/__init__.py
+++ /dev/null
@@ -1,4 +0,0 @@
-from .builder import build_pixel_sampler
-from .sampler import BasePixelSampler, OHEMPixelSampler
-
-__all__ = ['build_pixel_sampler', 'BasePixelSampler', 'OHEMPixelSampler']
diff --git a/spaces/walisonhs/stabilityai-stable-diffusion-2/app.py b/spaces/walisonhs/stabilityai-stable-diffusion-2/app.py
deleted file mode 100644
index d2782cea00b1bfcd22df7c204d9e52a6baf46ac2..0000000000000000000000000000000000000000
--- a/spaces/walisonhs/stabilityai-stable-diffusion-2/app.py
+++ /dev/null
@@ -1,3 +0,0 @@
-import gradio as gr
-
-gr.Interface.load("models/stabilityai/stable-diffusion-2").launch()
\ No newline at end of file
diff --git a/spaces/wenpeng/Sod_Inpaint/inpaint/saicinpainting/training/modules/ffc.py b/spaces/wenpeng/Sod_Inpaint/inpaint/saicinpainting/training/modules/ffc.py
deleted file mode 100644
index 6de33b3ec5c8e09244aa5a97dbcea40e201571d7..0000000000000000000000000000000000000000
--- a/spaces/wenpeng/Sod_Inpaint/inpaint/saicinpainting/training/modules/ffc.py
+++ /dev/null
@@ -1,367 +0,0 @@
-# Fast Fourier Convolution NeurIPS 2020
-# original implementation https://github.com/pkumivision/FFC/blob/main/model_zoo/ffc.py
-# paper https://proceedings.neurips.cc/paper/2020/file/2fd5d41ec6cfab47e32164d5624269b1-Paper.pdf
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-
-from saicinpainting.training.modules.base import get_activation
-from saicinpainting.training.modules.spatial_transform import LearnableSpatialTransformWrapper
-from saicinpainting.training.modules.squeeze_excitation import SELayer
-
-
-class FFCSE_block(nn.Module):
-
-    def __init__(self, channels, ratio_g):
-        super(FFCSE_block, self).__init__()
-        in_cg = int(channels * ratio_g)
-        in_cl = channels - in_cg
-        r = 16
-
-        self.avgpool = nn.AdaptiveAvgPool2d((1, 1))
-        self.conv1 = nn.Conv2d(channels, channels // r,
-                               kernel_size=1, bias=True)
-        self.relu1 = nn.ReLU(inplace=True)
-        self.conv_a2l = None if in_cl == 0 else nn.Conv2d(
-            channels // r, in_cl, kernel_size=1, bias=True)
-        self.conv_a2g = None if in_cg == 0 else nn.Conv2d(
-            channels // r, in_cg, kernel_size=1, bias=True)
-        self.sigmoid = nn.Sigmoid()
-
-    def forward(self, x):
-        x = x if type(x) is tuple else (x, 0)
-        id_l, id_g = x
-
-        x = id_l if type(id_g) is int else torch.cat([id_l, id_g], dim=1)
-        x = self.avgpool(x)
-        x = self.relu1(self.conv1(x))
-
-        x_l = 0 if self.conv_a2l is None else id_l * \
-            self.sigmoid(self.conv_a2l(x))
-        x_g = 0 if self.conv_a2g is None else id_g * \
-            self.sigmoid(self.conv_a2g(x))
-        return x_l, x_g
-
-
-class FourierUnit(nn.Module):
-
-    def __init__(self, in_channels, out_channels, groups=1, spatial_scale_factor=None, spatial_scale_mode='bilinear',
-                 spectral_pos_encoding=False, use_se=False, se_kwargs=None, ffc3d=False, fft_norm='ortho'):
-        # bn_layer not used
-        super(FourierUnit, self).__init__()
-        self.groups = groups
-
-        self.conv_layer = torch.nn.Conv2d(in_channels=in_channels * 2 + (2 if spectral_pos_encoding else 0),
-                                          out_channels=out_channels * 2,
-                                          kernel_size=1, stride=1, padding=0, groups=self.groups, bias=False)
-        self.bn = torch.nn.BatchNorm2d(out_channels * 2)
-        self.relu = torch.nn.ReLU(inplace=True)
-
-        # squeeze and excitation block
-        self.use_se = use_se
-        if use_se:
-            if se_kwargs is None:
-                se_kwargs = {}
-            self.se = SELayer(self.conv_layer.in_channels, **se_kwargs)
-
-        self.spatial_scale_factor = spatial_scale_factor
-        self.spatial_scale_mode = spatial_scale_mode
-        self.spectral_pos_encoding = spectral_pos_encoding
-        self.ffc3d = ffc3d
-        self.fft_norm = fft_norm
-
-    def forward(self, x):
-        batch = x.shape[0]
-
-        if self.spatial_scale_factor is not None:
-            orig_size = x.shape[-2:]
-            x = F.interpolate(x, scale_factor=self.spatial_scale_factor, mode=self.spatial_scale_mode, align_corners=False)
-
-        r_size = x.size()
-        # (batch, c, h, w/2+1, 2)
-        fft_dim = (-3, -2, -1) if self.ffc3d else (-2, -1)
-        ffted = torch.fft.rfftn(x, dim=fft_dim, norm=self.fft_norm)
-        ffted = torch.stack((ffted.real, ffted.imag), dim=-1)
-        ffted = ffted.permute(0, 1, 4, 2, 3).contiguous()  # (batch, c, 2, h, w/2+1)
-        ffted = ffted.view((batch, -1,) + ffted.size()[3:])
-
-        if self.spectral_pos_encoding:
-            height, width = ffted.shape[-2:]
-            coords_vert = torch.linspace(0, 1, height)[None, None, :, None].expand(batch, 1, height, width).to(ffted)
-            coords_hor = torch.linspace(0, 1, width)[None, None, None, :].expand(batch, 1, height, width).to(ffted)
-            ffted = torch.cat((coords_vert, coords_hor, ffted), dim=1)
-
-        if self.use_se:
-            ffted = self.se(ffted)
-
-        ffted = self.conv_layer(ffted)  # (batch, c*2, h, w/2+1)
-        ffted = self.relu(self.bn(ffted))
-
-        ffted = ffted.view((batch, -1, 2,) + ffted.size()[2:]).permute(
-            0, 1, 3, 4, 2).contiguous()  # (batch,c, t, h, w/2+1, 2)
-        ffted = torch.complex(ffted[..., 0], ffted[..., 1])
-
-        ifft_shape_slice = x.shape[-3:] if self.ffc3d else x.shape[-2:]
-        output = torch.fft.irfftn(ffted, s=ifft_shape_slice, dim=fft_dim, norm=self.fft_norm)
-
-        if self.spatial_scale_factor is not None:
-            output = F.interpolate(output, size=orig_size, mode=self.spatial_scale_mode, align_corners=False)
-
-        return output
-
-
-class SpectralTransform(nn.Module):
-
-    def __init__(self, in_channels, out_channels, stride=1, groups=1, enable_lfu=True, **fu_kwargs):
-        # bn_layer not used
-        super(SpectralTransform, self).__init__()
-        self.enable_lfu = enable_lfu
-        if stride == 2:
-            self.downsample = nn.AvgPool2d(kernel_size=(2, 2), stride=2)
-        else:
-            self.downsample = nn.Identity()
-
-        self.stride = stride
-        self.conv1 = nn.Sequential(
-            nn.Conv2d(in_channels, out_channels //
-                      2, kernel_size=1, groups=groups, bias=False),
-            nn.BatchNorm2d(out_channels // 2),
-            nn.ReLU(inplace=True)
-        )
-        self.fu = FourierUnit(
-            out_channels // 2, out_channels // 2, groups, **fu_kwargs)
-        if self.enable_lfu:
-            self.lfu = FourierUnit(
-                out_channels // 2, out_channels // 2, groups)
-        self.conv2 = torch.nn.Conv2d(
-            out_channels // 2, out_channels, kernel_size=1, groups=groups, bias=False)
-
-    def forward(self, x):
-
-        x = self.downsample(x)
-        x = self.conv1(x)
-        output = self.fu(x)
-
-        if self.enable_lfu:
-            n, c, h, w = x.shape
-            split_no = 2
-            split_s = h // split_no
-            xs = torch.cat(torch.split(
-                x[:, :c // 4], split_s, dim=-2), dim=1).contiguous()
-            xs = torch.cat(torch.split(xs, split_s, dim=-1),
-                           dim=1).contiguous()
-            xs = self.lfu(xs)
-            xs = xs.repeat(1, 1, split_no, split_no).contiguous()
-        else:
-            xs = 0
-
-        output = self.conv2(x + output + xs)
-
-        return output
-
-
-class FFC(nn.Module):
-
-    def __init__(self, in_channels, out_channels, kernel_size,
-                 ratio_gin, ratio_gout, stride=1, padding=0,
-                 dilation=1, groups=1, bias=False, enable_lfu=True,
-                 padding_type='reflect', gated=False, **spectral_kwargs):
-        super(FFC, self).__init__()
-
-        assert stride == 1 or stride == 2, "Stride should be 1 or 2."
-        self.stride = stride
-
-        in_cg = int(in_channels * ratio_gin)
-        in_cl = in_channels - in_cg
-        out_cg = int(out_channels * ratio_gout)
-        out_cl = out_channels - out_cg
-        #groups_g = 1 if groups == 1 else int(groups * ratio_gout)
-        #groups_l = 1 if groups == 1 else groups - groups_g
-
-        self.ratio_gin = ratio_gin
-        self.ratio_gout = ratio_gout
-        self.global_in_num = in_cg
-
-        module = nn.Identity if in_cl == 0 or out_cl == 0 else nn.Conv2d
-        self.convl2l = module(in_cl, out_cl, kernel_size,
-                              stride, padding, dilation, groups, bias, padding_mode=padding_type)
-        module = nn.Identity if in_cl == 0 or out_cg == 0 else nn.Conv2d
-        self.convl2g = module(in_cl, out_cg, kernel_size,
-                              stride, padding, dilation, groups, bias, padding_mode=padding_type)
-        module = nn.Identity if in_cg == 0 or out_cl == 0 else nn.Conv2d
-        self.convg2l = module(in_cg, out_cl, kernel_size,
-                              stride, padding, dilation, groups, bias, padding_mode=padding_type)
-        module = nn.Identity if in_cg == 0 or out_cg == 0 else SpectralTransform
-        self.convg2g = module(
-            in_cg, out_cg, stride, 1 if groups == 1 else groups // 2, enable_lfu, **spectral_kwargs)
-
-        self.gated = gated
-        module = nn.Identity if in_cg == 0 or out_cl == 0 or not self.gated else nn.Conv2d
-        self.gate = module(in_channels, 2, 1)
-
-    def forward(self, x):
-        x_l, x_g = x if type(x) is tuple else (x, 0)
-        out_xl, out_xg = 0, 0
-
-        if self.gated:
-            total_input_parts = [x_l]
-            if torch.is_tensor(x_g):
-                total_input_parts.append(x_g)
-            total_input = torch.cat(total_input_parts, dim=1)
-
-            gates = torch.sigmoid(self.gate(total_input))
-            g2l_gate, l2g_gate = gates.chunk(2, dim=1)
-        else:
-            g2l_gate, l2g_gate = 1, 1
-
-        if self.ratio_gout != 1:
-            out_xl = self.convl2l(x_l) + self.convg2l(x_g) * g2l_gate
-        if self.ratio_gout != 0:
-            out_xg = self.convl2g(x_l) * l2g_gate + self.convg2g(x_g)
-
-        return out_xl, out_xg
-
-
-class FFC_BN_ACT(nn.Module):
-
-    def __init__(self, in_channels, out_channels,
-                 kernel_size, ratio_gin, ratio_gout,
-                 stride=1, padding=0, dilation=1, groups=1, bias=False,
-                 norm_layer=nn.BatchNorm2d, activation_layer=nn.Identity,
-                 padding_type='reflect',
-                 enable_lfu=True, **kwargs):
-        super(FFC_BN_ACT, self).__init__()
-        self.ffc = FFC(in_channels, out_channels, kernel_size,
-                       ratio_gin, ratio_gout, stride, padding, dilation,
-                       groups, bias, enable_lfu, padding_type=padding_type, **kwargs)
-        lnorm = nn.Identity if ratio_gout == 1 else norm_layer
-        gnorm = nn.Identity if ratio_gout == 0 else norm_layer
-        global_channels = int(out_channels * ratio_gout)
-        self.bn_l = lnorm(out_channels - global_channels)
-        self.bn_g = gnorm(global_channels)
-
-        lact = nn.Identity if ratio_gout == 1 else activation_layer
-        gact = nn.Identity if ratio_gout == 0 else activation_layer
-        self.act_l = lact(inplace=True)
-        self.act_g = gact(inplace=True)
-
-    def forward(self, x):
-        x_l, x_g = self.ffc(x)
-        x_l = self.act_l(self.bn_l(x_l))
-        x_g = self.act_g(self.bn_g(x_g))
-        return x_l, x_g
-
-
-class FFCResnetBlock(nn.Module):
-    def __init__(self, dim, padding_type, norm_layer, activation_layer=nn.ReLU, dilation=1,
-                 spatial_transform_kwargs=None, inline=False, **conv_kwargs):
-        super().__init__()
-        self.conv1 = FFC_BN_ACT(dim, dim, kernel_size=3, padding=dilation, dilation=dilation,
-                                norm_layer=norm_layer,
-                                activation_layer=activation_layer,
-                                padding_type=padding_type,
-                                **conv_kwargs)
-        self.conv2 = FFC_BN_ACT(dim, dim, kernel_size=3, padding=dilation, dilation=dilation,
-                                norm_layer=norm_layer,
-                                activation_layer=activation_layer,
-                                padding_type=padding_type,
-                                **conv_kwargs)
-        if spatial_transform_kwargs is not None:
-            self.conv1 = LearnableSpatialTransformWrapper(self.conv1, **spatial_transform_kwargs)
-            self.conv2 = LearnableSpatialTransformWrapper(self.conv2, **spatial_transform_kwargs)
-        self.inline = inline
-
-    def forward(self, x):
-        if self.inline:
-            x_l, x_g = x[:, :-self.conv1.ffc.global_in_num], x[:, -self.conv1.ffc.global_in_num:]
-        else:
-            x_l, x_g = x if type(x) is tuple else (x, 0)
-
-        id_l, id_g = x_l, x_g
-
-        x_l, x_g = self.conv1((x_l, x_g))
-        x_l, x_g = self.conv2((x_l, x_g))
-
-        x_l, x_g = id_l + x_l, id_g + x_g
-        out = x_l, x_g
-        if self.inline:
-            out = torch.cat(out, dim=1)
-        return out
-
-
-class ConcatTupleLayer(nn.Module):
-    def forward(self, x):
-        assert isinstance(x, tuple)
-        x_l, x_g = x
-        assert torch.is_tensor(x_l) or torch.is_tensor(x_g)
-        if not torch.is_tensor(x_g):
-            return x_l
-        return torch.cat(x, dim=1)
-
-
-class FFCResNetGenerator(nn.Module):
-    def __init__(self, input_nc, output_nc, ngf=64, n_downsampling=3, n_blocks=9, norm_layer=nn.BatchNorm2d,
-                 padding_type='reflect', activation_layer=nn.ReLU,
-                 up_norm_layer=nn.BatchNorm2d, up_activation=nn.ReLU(True),
-                 init_conv_kwargs={}, downsample_conv_kwargs={}, resnet_conv_kwargs={},
-                 spatial_transform_layers=None, spatial_transform_kwargs={},
-                 add_out_act=True, max_features=1024, out_ffc=False, out_ffc_kwargs={}):
-        assert (n_blocks >= 0)
-        super().__init__()
-
-        model = [nn.ReflectionPad2d(3),
-                 FFC_BN_ACT(input_nc, ngf, kernel_size=7, padding=0, norm_layer=norm_layer,
-                            activation_layer=activation_layer, **init_conv_kwargs)]
-
-        ### downsample
-        for i in range(n_downsampling):
-            mult = 2 ** i
-            if i == n_downsampling - 1:
-                cur_conv_kwargs = dict(downsample_conv_kwargs)
-                cur_conv_kwargs['ratio_gout'] = resnet_conv_kwargs.get('ratio_gin', 0)
-            else:
-                cur_conv_kwargs = downsample_conv_kwargs
-            model += [FFC_BN_ACT(min(max_features, ngf * mult),
-                                 min(max_features, ngf * mult * 2),
-                                 kernel_size=3, stride=2, padding=1,
-                                 norm_layer=norm_layer,
-                                 activation_layer=activation_layer,
-                                 **cur_conv_kwargs)]
-
-        mult = 2 ** n_downsampling
-        feats_num_bottleneck = min(max_features, ngf * mult)
-
-        ### resnet blocks
-        for i in range(n_blocks):
-            cur_resblock = FFCResnetBlock(feats_num_bottleneck, padding_type=padding_type, activation_layer=activation_layer,
-                                          norm_layer=norm_layer, **resnet_conv_kwargs)
-            if spatial_transform_layers is not None and i in spatial_transform_layers:
-                cur_resblock = LearnableSpatialTransformWrapper(cur_resblock, **spatial_transform_kwargs)
-            model += [cur_resblock]
-
-        model += [ConcatTupleLayer()]
-
-        ### upsample
-        for i in range(n_downsampling):
-            mult = 2 ** (n_downsampling - i)
-            model += [nn.ConvTranspose2d(min(max_features, ngf * mult),
-                                         min(max_features, int(ngf * mult / 2)),
-                                         kernel_size=3, stride=2, padding=1, output_padding=1),
-                      up_norm_layer(min(max_features, int(ngf * mult / 2))),
-                      up_activation]
-
-        if out_ffc:
-            model += [FFCResnetBlock(ngf, padding_type=padding_type, activation_layer=activation_layer,
-                                     norm_layer=norm_layer, inline=True, **out_ffc_kwargs)]
-
-        model += [nn.ReflectionPad2d(3),
-                  nn.Conv2d(ngf, output_nc, kernel_size=7, padding=0)]
-        if add_out_act:
-            model.append(get_activation('tanh' if add_out_act is True else add_out_act))
-        self.model = nn.Sequential(*model)
-
-    def forward(self, input):
-        return self.model(input)
-
-
diff --git a/spaces/windmaple/lit/quickstart_sst_demo.py b/spaces/windmaple/lit/quickstart_sst_demo.py
deleted file mode 100644
index 4cc066db2ce5402147ee2f114ff0eaddefb6c5b7..0000000000000000000000000000000000000000
--- a/spaces/windmaple/lit/quickstart_sst_demo.py
+++ /dev/null
@@ -1,131 +0,0 @@
-# Lint as: python3
-r"""Example demo loading a handful of GLUE models.
-
-For a quick-start set of models, run:
-  python -m lit_nlp.examples.glue_demo \
-    --quickstart --port=5432
-
-To run with the 'normal' defaults, including full-size BERT models:
-  python -m lit_nlp.examples.glue_demo --port=5432
-
-Then navigate to localhost:5432 to access the demo UI.
-"""
-import sys
-
-from absl import app
-from absl import flags
-from absl import logging
-
-from lit_nlp import dev_server
-from lit_nlp import server_flags
-from lit_nlp.examples.datasets import glue
-from lit_nlp.examples.models import glue_models
-
-import transformers  # for path caching
-
-# NOTE: additional flags defined in server_flags.py
-
-FLAGS = flags.FLAGS
-
-FLAGS.set_default("development_demo", True)
-
-flags.DEFINE_bool(
-    "quickstart", False,
-    "Quick-start mode, loads smaller models and a subset of the full data.")
-
-flags.DEFINE_list(
-    "models", [
-        "sst2-tiny:sst2:https://storage.googleapis.com/what-if-tool-resources/lit-models/sst2_tiny.tar.gz",
-        "sst2-base:sst2:https://storage.googleapis.com/what-if-tool-resources/lit-models/sst2_base.tar.gz",
-        "stsb:stsb:https://storage.googleapis.com/what-if-tool-resources/lit-models/stsb_base.tar.gz",
-        "mnli:mnli:https://storage.googleapis.com/what-if-tool-resources/lit-models/mnli_base.tar.gz",
-    ], "List of models to load, as <name>:<task>:<path>. "
-    "See MODELS_BY_TASK for available tasks. Path should be the output of "
-    "saving a transformers model, e.g. model.save_pretrained(path) and "
-    "tokenizer.save_pretrained(path). Remote .tar.gz files will be downloaded "
-    "and cached locally.")
-
-flags.DEFINE_integer(
-    "max_examples", None, "Maximum number of examples to load into LIT. "
-    "Note: MNLI eval set is 10k examples, so will take a while to run and may "
-    "be slow on older machines. Set --max_examples=200 for a quick start.")
-
-MODELS_BY_TASK = {
-    "sst2": glue_models.SST2Model,
-    "stsb": glue_models.STSBModel,
-    "mnli": glue_models.MNLIModel,
-}
-
-# Pre-specified set of small models, which will load and run much faster.
-QUICK_START_MODELS = (
-    "sst2-tiny:sst2:https://storage.googleapis.com/what-if-tool-resources/lit-models/sst2_tiny.tar.gz",
-    "sst2-small:sst2:https://storage.googleapis.com/what-if-tool-resources/lit-models/sst2_small.tar.gz",
-    "stsb-tiny:stsb:https://storage.googleapis.com/what-if-tool-resources/lit-models/stsb_tiny.tar.gz",
-    "mnli-small:mnli:https://storage.googleapis.com/what-if-tool-resources/lit-models/mnli_small.tar.gz",
-)
-
-
-def get_wsgi_app():
-  """Return WSGI app for container-hosted demos."""
-  FLAGS.set_default("server_type", "external")
-  FLAGS.set_default("demo_mode", True)
-  # Parse flags without calling app.run(main), to avoid conflict with
-  # gunicorn command line flags.
-  unused = flags.FLAGS(sys.argv, known_only=True)
-  return main(unused)
-
-
-def main(_):
-  # Quick-start mode.
-  if FLAGS.quickstart:
-    FLAGS.models = QUICK_START_MODELS  # smaller, faster models
-    if FLAGS.max_examples is None or FLAGS.max_examples > 1000:
-      FLAGS.max_examples = 1000  # truncate larger eval sets
-    logging.info("Quick-start mode; overriding --models and --max_examples.")
-
-  models = {}
-  datasets = {}
-
-  tasks_to_load = set()
-  for model_string in FLAGS.models:
-    # Only split on the first two ':', because path may be a URL
-    # containing 'https://'
-    name, task, path = model_string.split(":", 2)
-    logging.info("Loading model '%s' for task '%s' from '%s'", name, task, path)
-    # Normally path is a directory; if it's an archive file, download and
-    # extract to the transformers cache.
-    if path.endswith(".tar.gz"):
-      path = transformers.file_utils.cached_path(
-          path, extract_compressed_file=True)
-    # Load the model from disk.
-    models[name] = MODELS_BY_TASK[task](path)
-    tasks_to_load.add(task)
-
-  ##
-  # Load datasets for each task that we have a model for
-  if "sst2" in tasks_to_load:
-    logging.info("Loading data for SST-2 task.")
-    datasets["sst_dev"] = glue.SST2Data("validation")
-
-  if "stsb" in tasks_to_load:
-    logging.info("Loading data for STS-B task.")
-    datasets["stsb_dev"] = glue.STSBData("validation")
-
-  if "mnli" in tasks_to_load:
-    logging.info("Loading data for MultiNLI task.")
-    datasets["mnli_dev"] = glue.MNLIData("validation_matched")
-    datasets["mnli_dev_mm"] = glue.MNLIData("validation_mismatched")
-
-  # Truncate datasets if --max_examples is set.
-  for name in datasets:
-    logging.info("Dataset: '%s' with %d examples", name, len(datasets[name]))
-    datasets[name] = datasets[name].slice[:FLAGS.max_examples]
-    logging.info("  truncated to %d examples", len(datasets[name]))
-
-  # Start the LIT server. See server_flags.py for server options.
-  lit_demo = dev_server.Server(models, datasets, **server_flags.get_flags())
-  return lit_demo.serve()
-
-
-if __name__ == "__main__":
-  app.run(main)
diff --git a/spaces/wu981526092/Optimal_Cluster_Analysis_with_PCA_Visualization/pca.py b/spaces/wu981526092/Optimal_Cluster_Analysis_with_PCA_Visualization/pca.py
deleted file mode 100644
index 7fc4b0605566e146e0484fa5421abf26145b3d68..0000000000000000000000000000000000000000
--- a/spaces/wu981526092/Optimal_Cluster_Analysis_with_PCA_Visualization/pca.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import pandas as pd
-from sklearn.decomposition import PCA
-import plotly.express as px
-
-
-def perform_pca(data, n_components):
-    pca = PCA(n_components=n_components)
-    principalComponents = pca.fit_transform(data)
-    principalDf = pd.DataFrame(data=principalComponents,
-                               columns=[f'principal component {i+1}' for i in range(n_components)])
-    return principalDf
-
-def plot_pca(clustered_data,principalDf,df,information_columns):
-    clustered_data = clustered_data.reset_index()  # To make sure indices match with df
-    finalDf = df.merge(clustered_data[['index', 'cluster']], left_index=True, right_on='index')
-    finalDf = finalDf.merge(principalDf, left_index=True, right_index=True)
-
-    finalDf.drop(columns=['index'], inplace=True)
-    fig = px.scatter(finalDf,
-                 x='principal component 1',
-                 y='principal component 2',
-                 color='cluster',
-                 hover_data=information_columns,
-                 title='2 Component PCA',
-                 labels={'principal component 1':'Principal Component 1', 'principal component 2':'Principal Component 2'},
-                 color_continuous_scale='viridis')
-    # fig.show()
-    return fig
-
-# def get_common_features(data):
-#     common_features = {}
-#     for cluster in data['cluster'].unique():
-#         cluster_data = data[data['cluster'] == cluster]
-#         cluster_features_counts = {}
-#         for column in cluster_data.drop(columns=["cluster"]).columns:
-#             top_feature = cluster_data[column].mode()[0]  # Use mode to find the most common category
-#             if top_feature != 0:  # Add only if most common feature is not 0
-#                 cluster_features_counts[column] = top_feature
-#         common_features[cluster] = cluster_features_counts
-#     return common_features
-
-
-def plot_pca_3D(clustered_data, principalDf,df,information_columns):
-    clustered_data = clustered_data.reset_index()  # To make sure indices match with df
-    finalDf = df.merge(clustered_data[['index', 'cluster']], left_index=True, right_on='index')
-    finalDf = finalDf.merge(principalDf, left_index=True, right_index=True)
-    finalDf.drop(columns=['index'], inplace=True)
-
-    # common_features = get_common_features(clustered_data)
-    # # Add most common features to finalDf
-    # for cluster, features in common_features.items():
-    #     for feature, value in features.items():
-    #         finalDf.loc[finalDf['cluster'] == cluster, f"Most common {feature}"] = value
-
-    hover_data = information_columns #+ [col for col in finalDf.columns if "Most common" in col]
-    fig = px.scatter_3d(finalDf,
-                 x='principal component 1',
-                 y='principal component 2',
-                 z='principal component 3',
-                 color='cluster',
-                 hover_data=hover_data,
-                 title='3 Component PCA',
-                 labels={f'principal component {i+1}': f'Principal Component {i+1}' for i in range(3)},
-                 color_continuous_scale='viridis')
-    # fig.show()
-    return fig
\ No newline at end of file
diff --git a/spaces/wy213/213a/src/lib/isomorphic/browser.ts b/spaces/wy213/213a/src/lib/isomorphic/browser.ts
deleted file mode 100644
index de125b1f1786d1618cb1ff47f403d76c6784f4ce..0000000000000000000000000000000000000000
--- a/spaces/wy213/213a/src/lib/isomorphic/browser.ts
+++ /dev/null
@@ -1,11 +0,0 @@
-'use client'
-
-const debug = console.info.bind(console)
-
-class WebSocketAlias extends WebSocket {
-  constructor(address: string | URL, ...args: any) {
-    super(address)
-  }
-}
-
-export default { fetch, WebSocket: WebSocketAlias, debug }
diff --git a/spaces/xeonm/image-to-audio-story/app.py b/spaces/xeonm/image-to-audio-story/app.py
deleted file mode 100644
index 4836567161418eacfcb2b736982d067ddfce7847..0000000000000000000000000000000000000000
--- a/spaces/xeonm/image-to-audio-story/app.py
+++ /dev/null
@@ -1,82 +0,0 @@
-from dotenv import find_dotenv, load_dotenv
-from transformers import pipeline
-from langchain import PromptTemplate, LLMChain, OpenAI
-import requests
-import os
-import streamlit as st
-
-load_dotenv(find_dotenv())
-HF_API_KEY=os.getenv("HF_API_KEY")
-
-# img2text
-def img2text(url):
-    image_to_text_model = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
-    text = image_to_text_model(url)[0]["generated_text"]
-
-    print(text)
-    return text
-
-
-# make the story of it using LLM
-def generate_story(scenario):
-    template = """
-    You are a story teller;
-    You can generate a short story based on a simple narrative, the story should be no more than 30 words;
-    CONTEXT: {scenario}
-    STORY;
-    """
-
-    prompt = PromptTemplate(template=template, input_variables=["scenario"])
-
-    story_llm = LLMChain(llm=OpenAI(model_name="gpt-4", temperature=1), prompt=prompt, verbose=True)
-    story = story_llm.predict(scenario=scenario).replace('"', '')
-
-    print(story)
-    return story
-
-
-
-# text to speech
-def text2speech(message):
-    API_URL = "https://api-inference.huggingface.co/models/espnet/kan-bayashi_ljspeech_vits"
-    headers = {"Authorization": f"Bearer {HF_API_KEY}"}
-    payload = {
-        "inputs": message
-    }
-    
-    response = requests.post(API_URL, headers=headers, json=payload)
-    with open('audio.flac', 'wb') as file:
-        file.write(response.content)
-
-# generate_story(img2text("test1.jpeg"))
-# text2speech("Access tokens programmatically authenticate your identity to the Hugging Face Hub")
-
-def main():
-    st.set_page_config(page_title="image-to-audio-story", page_icon="😊")
-    st.header("Image to audio story")
-    uploaded_file = st.file_uploader("Choose an image", type=['png', 'jpg'])
-
-    if uploaded_file is not None:
-        print(uploaded_file)
-        bytes_data = uploaded_file.getvalue()
-        with open(uploaded_file.name, "wb") as file:
-            file.write(bytes_data)
-
-        st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
-
-        st.text('Processing img2text...')
-        scenario = img2text(uploaded_file.name)
-        with st.expander("scenario"):
-            st.write(scenario)
-
-        st.text('Generating story on given scenario...')
-        story = generate_story(scenario)
-        with st.expander("story"):
-            st.write(story)
-        
-        st.text('Processing text2speech...')
-        text2speech(story)
-        st.audio("audio.flac")
-
-if __name__ == '__main__':
-    main()
\ No newline at end of file
diff --git a/spaces/xfys/yolov5_tracking/trackers/strong_sort/deep/models/__init__.py b/spaces/xfys/yolov5_tracking/trackers/strong_sort/deep/models/__init__.py
deleted file mode 100644
index 3c60ba6f59ca7fa5ff9f3c6a4dcef1357c353dde..0000000000000000000000000000000000000000
--- a/spaces/xfys/yolov5_tracking/trackers/strong_sort/deep/models/__init__.py
+++ /dev/null
@@ -1,122 +0,0 @@
-from __future__ import absolute_import
-import torch
-
-from .pcb import *
-from .mlfn import *
-from .hacnn import *
-from .osnet import *
-from .senet import *
-from .mudeep import *
-from .nasnet import *
-from .resnet import *
-from .densenet import *
-from .xception import *
-from .osnet_ain import *
-from .resnetmid import *
-from .shufflenet import *
-from .squeezenet import *
-from .inceptionv4 import *
-from .mobilenetv2 import *
-from .resnet_ibn_a import *
-from .resnet_ibn_b import *
-from .shufflenetv2 import *
-from .inceptionresnetv2 import *
-
-__model_factory = {
-    # image classification models
-    'resnet18': resnet18,
-    'resnet34': resnet34,
-    'resnet50': resnet50,
-    'resnet101': resnet101,
-    'resnet152': resnet152,
-    'resnext50_32x4d': resnext50_32x4d,
-    'resnext101_32x8d': resnext101_32x8d,
-    'resnet50_fc512': resnet50_fc512,
-    'se_resnet50': se_resnet50,
-    'se_resnet50_fc512': se_resnet50_fc512,
-    'se_resnet101': se_resnet101,
-    'se_resnext50_32x4d': se_resnext50_32x4d,
-    'se_resnext101_32x4d': se_resnext101_32x4d,
-    'densenet121': densenet121,
-    'densenet169': densenet169,
-    'densenet201': densenet201,
-    'densenet161': densenet161,
-    'densenet121_fc512': densenet121_fc512,
-    'inceptionresnetv2': inceptionresnetv2,
-    'inceptionv4': inceptionv4,
-    'xception': xception,
-    'resnet50_ibn_a': resnet50_ibn_a,
-    'resnet50_ibn_b': resnet50_ibn_b,
-    # lightweight models
-    'nasnsetmobile': nasnetamobile,
-    'mobilenetv2_x1_0': mobilenetv2_x1_0,
-    'mobilenetv2_x1_4': mobilenetv2_x1_4,
-    'shufflenet': shufflenet,
-    'squeezenet1_0': squeezenet1_0,
-    'squeezenet1_0_fc512': squeezenet1_0_fc512,
-    'squeezenet1_1': squeezenet1_1,
-    'shufflenet_v2_x0_5': shufflenet_v2_x0_5,
-    'shufflenet_v2_x1_0': shufflenet_v2_x1_0,
-    'shufflenet_v2_x1_5': shufflenet_v2_x1_5,
-    'shufflenet_v2_x2_0': shufflenet_v2_x2_0,
-    # reid-specific models
-    'mudeep': MuDeep,
-    'resnet50mid': resnet50mid,
-    'hacnn': HACNN,
-    'pcb_p6': pcb_p6,
-    'pcb_p4': pcb_p4,
-    'mlfn': mlfn,
-    'osnet_x1_0': osnet_x1_0,
-    'osnet_x0_75': osnet_x0_75,
-    'osnet_x0_5': osnet_x0_5,
-    'osnet_x0_25': osnet_x0_25,
-    'osnet_ibn_x1_0': osnet_ibn_x1_0,
-    'osnet_ain_x1_0': osnet_ain_x1_0,
-    'osnet_ain_x0_75': osnet_ain_x0_75,
-    'osnet_ain_x0_5': osnet_ain_x0_5,
-    'osnet_ain_x0_25': osnet_ain_x0_25
-}
-
-
-def show_avai_models():
-    """Displays available models.
-
-    Examples::
-        >>> from torchreid import models
-        >>> models.show_avai_models()
-    """
-    print(list(__model_factory.keys()))
-
-
-def build_model(
-    name, num_classes, loss='softmax', pretrained=True, use_gpu=True
-):
-    """A function wrapper for building a model.
-
-    Args:
-        name (str): model name.
-        num_classes (int): number of training identities.
-        loss (str, optional): loss function to optimize the model. Currently
-            supports "softmax" and "triplet". Default is "softmax".
-        pretrained (bool, optional): whether to load ImageNet-pretrained weights.
-            Default is True.
-        use_gpu (bool, optional): whether to use gpu. Default is True.
-
-    Returns:
-        nn.Module
-
-    Examples::
-        >>> from torchreid import models
-        >>> model = models.build_model('resnet50', 751, loss='softmax')
-    """
-    avai_models = list(__model_factory.keys())
-    if name not in avai_models:
-        raise KeyError(
-            'Unknown model: {}. Must be one of {}'.format(name, avai_models)
-        )
-    return __model_factory[name](
-        num_classes=num_classes,
-        loss=loss,
-        pretrained=pretrained,
-        use_gpu=use_gpu
-    )
diff --git a/spaces/xiang-wuu/yolov5/utils/autobatch.py b/spaces/xiang-wuu/yolov5/utils/autobatch.py
deleted file mode 100644
index 7c0ed033158d4871d3d90f2d122aacb6e6edd3ff..0000000000000000000000000000000000000000
--- a/spaces/xiang-wuu/yolov5/utils/autobatch.py
+++ /dev/null
@@ -1,66 +0,0 @@
-# YOLOv5 🚀 by Ultralytics, GPL-3.0 license
-"""
-Auto-batch utils
-"""
-
-from copy import deepcopy
-
-import numpy as np
-import torch
-
-from utils.general import LOGGER, colorstr, emojis
-from utils.torch_utils import profile
-
-
-def check_train_batch_size(model, imgsz=640, amp=True):
-    # Check YOLOv5 training batch size
-    with torch.cuda.amp.autocast(amp):
-        return autobatch(deepcopy(model).train(), imgsz)  # compute optimal batch size
-
-
-def autobatch(model, imgsz=640, fraction=0.9, batch_size=16):
-    # Automatically estimate best batch size to use `fraction` of available CUDA memory
-    # Usage:
-    #     import torch
-    #     from utils.autobatch import autobatch
-    #     model = torch.hub.load('ultralytics/yolov5', 'yolov5s', autoshape=False)
-    #     print(autobatch(model))
-
-    # Check device
-    prefix = colorstr('AutoBatch: ')
-    LOGGER.info(f'{prefix}Computing optimal batch size for --imgsz {imgsz}')
-    device = next(model.parameters()).device  # get model device
-    if device.type == 'cpu':
-        LOGGER.info(f'{prefix}CUDA not detected, using default CPU batch-size {batch_size}')
-        return batch_size
-
-    # Inspect CUDA memory
-    gb = 1 << 30  # bytes to GiB (1024 ** 3)
-    d = str(device).upper()  # 'CUDA:0'
-    properties = torch.cuda.get_device_properties(device)  # device properties
-    t = properties.total_memory / gb  # GiB total
-    r = torch.cuda.memory_reserved(device) / gb  # GiB reserved
-    a = torch.cuda.memory_allocated(device) / gb  # GiB allocated
-    f = t - (r + a)  # GiB free
-    LOGGER.info(f'{prefix}{d} ({properties.name}) {t:.2f}G total, {r:.2f}G reserved, {a:.2f}G allocated, {f:.2f}G free')
-
-    # Profile batch sizes
-    batch_sizes = [1, 2, 4, 8, 16]
-    try:
-        img = [torch.zeros(b, 3, imgsz, imgsz) for b in batch_sizes]
-        results = profile(img, model, n=3, device=device)
-    except Exception as e:
-        LOGGER.warning(f'{prefix}{e}')
-
-    # Fit a solution
-    y = [x[2] for x in results if x]  # memory [2]
-    p = np.polyfit(batch_sizes[:len(y)], y, deg=1)  # first degree polynomial fit
-    b = int((f * fraction - p[1]) / p[0])  # y intercept (optimal batch size)
-    if None in results:  # some sizes failed
-        i = results.index(None)  # first fail index
-        if b >= batch_sizes[i]:  # y intercept above failure point
-            b = batch_sizes[max(i - 1, 0)]  # select prior safe point
-
-    fraction = np.polyval(p, b) / t  # actual fraction predicted
-    LOGGER.info(emojis(f'{prefix}Using batch-size {b} for {d} {t * fraction:.2f}G/{t:.2f}G ({fraction * 100:.0f}%) ✅'))
-    return b
diff --git a/spaces/xwsm/gpt/request_llm/bridge_chatgpt.py b/spaces/xwsm/gpt/request_llm/bridge_chatgpt.py
deleted file mode 100644
index eef8fbf0b43f30b915f770f4bc54120c84ebd092..0000000000000000000000000000000000000000
--- a/spaces/xwsm/gpt/request_llm/bridge_chatgpt.py
+++ /dev/null
@@ -1,285 +0,0 @@
-# 借鉴了 https://github.com/GaiZhenbiao/ChuanhuChatGPT 项目
-
-"""
-    该文件中主要包含三个函数
-
-    不具备多线程能力的函数：
-    1. predict: 正常对话时使用，具备完备的交互功能，不可多线程
-
-    具备多线程调用能力的函数
-    2. predict_no_ui：高级实验性功能模块调用，不会实时显示在界面上，参数简单，可以多线程并行，方便实现复杂的功能逻辑
-    3. predict_no_ui_long_connection：在实验过程中发现调用predict_no_ui处理长文档时，和openai的连接容易断掉，这个函数用stream的方式解决这个问题，同样支持多线程
-"""
-
-import json
-import time
-import gradio as gr
-import logging
-import traceback
-import requests
-import importlib
-
-# config_private.py放自己的秘密如API和代理网址
-# 读取时首先看是否存在私密的config_private配置文件（不受git管控），如果有，则覆盖原config文件
-from toolbox import get_conf, update_ui, is_any_api_key, select_api_key, what_keys, clip_history, trimmed_format_exc
-proxies, API_KEY, TIMEOUT_SECONDS, MAX_RETRY = \
-    get_conf('proxies', 'API_KEY', 'TIMEOUT_SECONDS', 'MAX_RETRY')
-
-timeout_bot_msg = '[Local Message] Request timeout. Network error. Please check proxy settings in config.py.' + \
-                  '网络错误，检查代理服务器是否可用，以及代理设置的格式是否正确，格式须是[协议]://[地址]:[端口]，缺一不可。'
-
-def get_full_error(chunk, stream_response):
-    """
-        获取完整的从Openai返回的报错
-    """
-    while True:
-        try:
-            chunk += next(stream_response)
-        except:
-            break
-    return chunk
-
-
-def predict_no_ui_long_connection(inputs, llm_kwargs, history=[], sys_prompt="", observe_window=None, console_slience=False):
-    """
-    发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免中途网线被掐。
-    inputs：
-        是本次问询的输入
-    sys_prompt:
-        系统静默prompt
-    llm_kwargs：
-        chatGPT的内部调优参数
-    history：
-        是之前的对话列表
-    observe_window = None：
-        用于负责跨越线程传递已经输出的部分，大部分时候仅仅为了fancy的视觉效果，留空即可。observe_window[0]：观测窗。observe_window[1]：看门狗
-    """
-    watch_dog_patience = 5 # 看门狗的耐心, 设置5秒即可
-    headers, payload = generate_payload(inputs, llm_kwargs, history, system_prompt=sys_prompt, stream=True)
-    retry = 0
-    while True:
-        try:
-            # make a POST request to the API endpoint, stream=False
-            from .bridge_all import model_info
-            endpoint = model_info[llm_kwargs['llm_model']]['endpoint']
-            response = requests.post(endpoint, headers=headers, proxies=proxies,
-                                    json=payload, stream=True, timeout=TIMEOUT_SECONDS); break
-        except requests.exceptions.ReadTimeout as e:
-            retry += 1
-            traceback.print_exc()
-            if retry > MAX_RETRY: raise TimeoutError
-            if MAX_RETRY!=0: print(f'请求超时，正在重试 ({retry}/{MAX_RETRY}) ……')
-
-    stream_response =  response.iter_lines()
-    result = ''
-    while True:
-        try: chunk = next(stream_response).decode()
-        except StopIteration: 
-            break
-        except requests.exceptions.ConnectionError:
-            chunk = next(stream_response).decode() # 失败了，重试一次？再失败就没办法了。
-        if len(chunk)==0: continue
-        if not chunk.startswith('data:'): 
-            error_msg = get_full_error(chunk.encode('utf8'), stream_response).decode()
-            if "reduce the length" in error_msg:
-                raise ConnectionAbortedError("OpenAI拒绝了请求:" + error_msg)
-            else:
-                raise RuntimeError("OpenAI拒绝了请求：" + error_msg)
-        if ('data: [DONE]' in chunk): break # api2d 正常完成
-        json_data = json.loads(chunk.lstrip('data:'))['choices'][0]
-        delta = json_data["delta"]
-        if len(delta) == 0: break
-        if "role" in delta: continue
-        if "content" in delta: 
-            result += delta["content"]
-            if not console_slience: print(delta["content"], end='')
-            if observe_window is not None: 
-                # 观测窗，把已经获取的数据显示出去
-                if len(observe_window) >= 1: observe_window[0] += delta["content"]
-                # 看门狗，如果超过期限没有喂狗，则终止
-                if len(observe_window) >= 2:  
-                    if (time.time()-observe_window[1]) > watch_dog_patience:
-                        raise RuntimeError("用户取消了程序。")
-        else: raise RuntimeError("意外Json结构："+delta)
-    if json_data['finish_reason'] == 'length':
-        raise ConnectionAbortedError("正常结束，但显示Token不足，导致输出不完整，请削减单次输入的文本量。")
-    return result
-
-
-def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_prompt='', stream = True, additional_fn=None):
-    """
-    发送至chatGPT，流式获取输出。
-    用于基础的对话功能。
-    inputs 是本次问询的输入
-    top_p, temperature是chatGPT的内部调优参数
-    history 是之前的对话列表（注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误）
-    chatbot 为WebUI中显示的对话列表，修改它，然后yeild出去，可以直接修改对话界面内容
-    additional_fn代表点击的哪个按钮，按钮见functional.py
-    """
-    if is_any_api_key(inputs):
-        chatbot._cookies['api_key'] = inputs
-        chatbot.append(("输入已识别为openai的api_key", what_keys(inputs)))
-        yield from update_ui(chatbot=chatbot, history=history, msg="api_key已导入") # 刷新界面
-        return
-    elif not is_any_api_key(chatbot._cookies['api_key']):
-        chatbot.append((inputs, "缺少api_key。\n\n1. 临时解决方案：直接在输入区键入api_key，然后回车提交。\n\n2. 长效解决方案：在config.py中配置。"))
-        yield from update_ui(chatbot=chatbot, history=history, msg="缺少api_key") # 刷新界面
-        return
-
-    if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
-
-    raw_input = inputs
-    logging.info(f'[raw_input] {raw_input}')
-    chatbot.append((inputs, ""))
-    yield from update_ui(chatbot=chatbot, history=history, msg="等待响应") # 刷新界面
-
-    try:
-        headers, payload = generate_payload(inputs, llm_kwargs, history, system_prompt, stream)
-    except RuntimeError as e:
-        chatbot[-1] = (inputs, f"您提供的api-key不满足要求，不包含任何可用于{llm_kwargs['llm_model']}的api-key。您可能选择了错误的模型或请求源。")
-        yield from update_ui(chatbot=chatbot, history=history, msg="api-key不满足要求") # 刷新界面
-        return
-        
-    history.append(inputs); history.append("")
-
-    retry = 0
-    while True:
-        try:
-            # make a POST request to the API endpoint, stream=True
-            from .bridge_all import model_info
-            endpoint = model_info[llm_kwargs['llm_model']]['endpoint']
-            response = requests.post(endpoint, headers=headers, proxies=proxies,
-                                    json=payload, stream=True, timeout=TIMEOUT_SECONDS);break
-        except:
-            retry += 1
-            chatbot[-1] = ((chatbot[-1][0], timeout_bot_msg))
-            retry_msg = f"，正在重试 ({retry}/{MAX_RETRY}) ……" if MAX_RETRY > 0 else ""
-            yield from update_ui(chatbot=chatbot, history=history, msg="请求超时"+retry_msg) # 刷新界面
-            if retry > MAX_RETRY: raise TimeoutError
-
-    gpt_replying_buffer = ""
-    
-    is_head_of_the_stream = True
-    if stream:
-        stream_response =  response.iter_lines()
-        while True:
-            try:
-                chunk = next(stream_response)
-            except StopIteration:
-                # 非OpenAI官方接口的出现这样的报错，OpenAI和API2D不会走这里
-                from toolbox import regular_txt_to_markdown; tb_str = '```\n' + trimmed_format_exc() + '```'
-                chatbot[-1] = (chatbot[-1][0], f"[Local Message] 远程返回错误: \n\n{tb_str} \n\n{regular_txt_to_markdown(chunk.decode())}")
-                yield from update_ui(chatbot=chatbot, history=history, msg="远程返回错误:" + chunk.decode()) # 刷新界面
-                return
-            
-            # print(chunk.decode()[6:])
-            if is_head_of_the_stream and (r'"object":"error"' not in chunk.decode()):
-                # 数据流的第一帧不携带content
-                is_head_of_the_stream = False; continue
-            
-            if chunk:
-                try:
-                    chunk_decoded = chunk.decode()
-                    # 前者API2D的
-                    if ('data: [DONE]' in chunk_decoded) or (len(json.loads(chunk_decoded[6:])['choices'][0]["delta"]) == 0):
-                        # 判定为数据流的结束，gpt_replying_buffer也写完了
-                        logging.info(f'[response] {gpt_replying_buffer}')
-                        break
-                    # 处理数据流的主体
-                    chunkjson = json.loads(chunk_decoded[6:])
-                    status_text = f"finish_reason: {chunkjson['choices'][0]['finish_reason']}"
-                    # 如果这里抛出异常，一般是文本过长，详情见get_full_error的输出
-                    gpt_replying_buffer = gpt_replying_buffer + json.loads(chunk_decoded[6:])['choices'][0]["delta"]["content"]
-                    history[-1] = gpt_replying_buffer
-                    chatbot[-1] = (history[-2], history[-1])
-                    yield from update_ui(chatbot=chatbot, history=history, msg=status_text) # 刷新界面
-
-                except Exception as e:
-                    traceback.print_exc()
-                    yield from update_ui(chatbot=chatbot, history=history, msg="Json解析不合常规") # 刷新界面
-                    chunk = get_full_error(chunk, stream_response)
-                    chunk_decoded = chunk.decode()
-                    error_msg = chunk_decoded
-                    if "reduce the length" in error_msg:
-                        if len(history) >= 2: history[-1] = ""; history[-2] = "" # 清除当前溢出的输入：history[-2] 是本次输入, history[-1] 是本次输出
-                        history = clip_history(inputs=inputs, history=history, tokenizer=model_info[llm_kwargs['llm_model']]['tokenizer'], 
-                                               max_token_limit=(model_info[llm_kwargs['llm_model']]['max_token'])) # history至少释放二分之一
-                        chatbot[-1] = (chatbot[-1][0], "[Local Message] Reduce the length. 本次输入过长, 或历史数据过长. 历史缓存数据已部分释放, 您可以请再次尝试. (若再次失败则更可能是因为输入过长.)")
-                        # history = []    # 清除历史
-                    elif "does not exist" in error_msg:
-                        chatbot[-1] = (chatbot[-1][0], f"[Local Message] Model {llm_kwargs['llm_model']} does not exist. 模型不存在, 或者您没有获得体验资格.")
-                    elif "Incorrect API key" in error_msg:
-                        chatbot[-1] = (chatbot[-1][0], "[Local Message] Incorrect API key. OpenAI以提供了不正确的API_KEY为由, 拒绝服务.")
-                    elif "exceeded your current quota" in error_msg:
-                        chatbot[-1] = (chatbot[-1][0], "[Local Message] You exceeded your current quota. OpenAI以账户额度不足为由, 拒绝服务.")
-                    elif "bad forward key" in error_msg:
-                        chatbot[-1] = (chatbot[-1][0], "[Local Message] Bad forward key. API2D账户额度不足.")
-                    elif "Not enough point" in error_msg:
-                        chatbot[-1] = (chatbot[-1][0], "[Local Message] Not enough point. API2D账户点数不足.")
-                    else:
-                        from toolbox import regular_txt_to_markdown
-                        tb_str = '```\n' + trimmed_format_exc() + '```'
-                        chatbot[-1] = (chatbot[-1][0], f"[Local Message] 异常 \n\n{tb_str} \n\n{regular_txt_to_markdown(chunk_decoded)}")
-                    yield from update_ui(chatbot=chatbot, history=history, msg="Json异常" + error_msg) # 刷新界面
-                    return
-
-def generate_payload(inputs, llm_kwargs, history, system_prompt, stream):
-    """
-    整合所有信息，选择LLM模型，生成http请求，为发送请求做准备
-    """
-    if not is_any_api_key(llm_kwargs['api_key']):
-        raise AssertionError("你提供了错误的API_KEY。\n\n1. 临时解决方案：直接在输入区键入api_key，然后回车提交。\n\n2. 长效解决方案：在config.py中配置。")
-
-    api_key = select_api_key(llm_kwargs['api_key'], llm_kwargs['llm_model'])
-
-    headers = {
-        "Content-Type": "application/json",
-        "Authorization": f"Bearer {api_key}"
-    }
-
-    conversation_cnt = len(history) // 2
-
-    messages = [{"role": "system", "content": system_prompt}]
-    if conversation_cnt:
-        for index in range(0, 2*conversation_cnt, 2):
-            what_i_have_asked = {}
-            what_i_have_asked["role"] = "user"
-            what_i_have_asked["content"] = history[index]
-            what_gpt_answer = {}
-            what_gpt_answer["role"] = "assistant"
-            what_gpt_answer["content"] = history[index+1]
-            if what_i_have_asked["content"] != "":
-                if what_gpt_answer["content"] == "": continue
-                if what_gpt_answer["content"] == timeout_bot_msg: continue
-                messages.append(what_i_have_asked)
-                messages.append(what_gpt_answer)
-            else:
-                messages[-1]['content'] = what_gpt_answer['content']
-
-    what_i_ask_now = {}
-    what_i_ask_now["role"] = "user"
-    what_i_ask_now["content"] = inputs
-    messages.append(what_i_ask_now)
-
-    payload = {
-        "model": llm_kwargs['llm_model'].strip('api2d-'),
-        "messages": messages, 
-        "temperature": llm_kwargs['temperature'],  # 1.0,
-        "top_p": llm_kwargs['top_p'],  # 1.0,
-        "n": 1,
-        "stream": stream,
-        "presence_penalty": 0,
-        "frequency_penalty": 0,
-    }
-    try:
-        print(f" {llm_kwargs['llm_model']} : {conversation_cnt} : {inputs[:100]} ..........")
-    except:
-        print('输入中可能存在乱码。')
-    return headers,payload
-
-
diff --git a/spaces/xxie92/antibody_visulization/diffab/datasets/sabdab.py b/spaces/xxie92/antibody_visulization/diffab/datasets/sabdab.py
deleted file mode 100644
index 4b96c1b111fd620c141519c0a346665e2afe4576..0000000000000000000000000000000000000000
--- a/spaces/xxie92/antibody_visulization/diffab/datasets/sabdab.py
+++ /dev/null
@@ -1,470 +0,0 @@
-import os
-import random
-import logging
-import datetime
-import pandas as pd
-import joblib
-import pickle
-import lmdb
-import subprocess
-import torch
-from Bio import PDB, SeqRecord, SeqIO, Seq
-from Bio.PDB import PDBExceptions
-from Bio.PDB import Polypeptide
-from torch.utils.data import Dataset
-from tqdm.auto import tqdm
-
-from ..utils.protein import parsers, constants
-from ._base import register_dataset
-
-
-ALLOWED_AG_TYPES = {
-    'protein',
-    'protein | protein',
-    'protein | protein | protein',
-    'protein | protein | protein | protein | protein',
-    'protein | protein | protein | protein',
-}
-
-RESOLUTION_THRESHOLD = 4.0
-
-TEST_ANTIGENS = [
-    'sars-cov-2 receptor binding domain',
-    'hiv-1 envelope glycoprotein gp160',
-    'mers s',
-    'influenza a virus',
-    'cd27 antigen',
-]
-
-
-def nan_to_empty_string(val):
-    if val != val or not val:
-        return ''
-    else:
-        return val
-
-
-def nan_to_none(val):
-    if val != val or not val:
-        return None
-    else:
-        return val
-
-
-def split_sabdab_delimited_str(val):
-    if not val:
-        return []
-    else:
-        return [s.strip() for s in val.split('|')]
-
-
-def parse_sabdab_resolution(val):
-    if val == 'NOT' or not val or val != val:
-        return None
-    elif isinstance(val, str) and ',' in val:
-        return float(val.split(',')[0].strip())
-    else:
-        return float(val)
-
-
-def _aa_tensor_to_sequence(aa):
-    return ''.join([Polypeptide.index_to_one(a.item()) for a in aa.flatten()])
-
-
-def _label_heavy_chain_cdr(data, seq_map, max_cdr3_length=30):
-    if data is None or seq_map is None:
-        return data, seq_map
-
-    # Add CDR labels
-    cdr_flag = torch.zeros_like(data['aa'])
-    for position, idx in seq_map.items():
-        resseq = position[1]
-        cdr_type = constants.ChothiaCDRRange.to_cdr('H', resseq)
-        if cdr_type is not None:
-            cdr_flag[idx] = cdr_type
-    data['cdr_flag'] = cdr_flag
-
-    # Add CDR sequence annotations
-    data['H1_seq'] = _aa_tensor_to_sequence( data['aa'][cdr_flag == constants.CDR.H1] )
-    data['H2_seq'] = _aa_tensor_to_sequence( data['aa'][cdr_flag == constants.CDR.H2] )
-    data['H3_seq'] = _aa_tensor_to_sequence( data['aa'][cdr_flag == constants.CDR.H3] )
-
-    cdr3_length = (cdr_flag == constants.CDR.H3).sum().item()
-    # Remove too long CDR3
-    if cdr3_length > max_cdr3_length:
-        cdr_flag[cdr_flag == constants.CDR.H3] = 0
-        logging.warning(f'CDR-H3 too long {cdr3_length}. Removed.')
-        return None, None
-
-    # Filter: ensure CDR3 exists
-    if cdr3_length == 0:
-        logging.warning('No CDR-H3 found in the heavy chain.')
-        return None, None
-
-    return data, seq_map
-
-
-def _label_light_chain_cdr(data, seq_map, max_cdr3_length=30):
-    if data is None or seq_map is None:
-        return data, seq_map
-    cdr_flag = torch.zeros_like(data['aa'])
-    for position, idx in seq_map.items():
-        resseq = position[1]
-        cdr_type = constants.ChothiaCDRRange.to_cdr('L', resseq)
-        if cdr_type is not None:
-            cdr_flag[idx] = cdr_type
-    data['cdr_flag'] = cdr_flag
-
-    data['L1_seq'] = _aa_tensor_to_sequence( data['aa'][cdr_flag == constants.CDR.L1] )
-    data['L2_seq'] = _aa_tensor_to_sequence( data['aa'][cdr_flag == constants.CDR.L2] )
-    data['L3_seq'] = _aa_tensor_to_sequence( data['aa'][cdr_flag == constants.CDR.L3] )
-
-    cdr3_length = (cdr_flag == constants.CDR.L3).sum().item()
-    # Remove too long CDR3
-    if cdr3_length > max_cdr3_length:
-        cdr_flag[cdr_flag == constants.CDR.L3] = 0
-        logging.warning(f'CDR-L3 too long {cdr3_length}. Removed.')
-        return None, None
-
-    # Ensure CDR3 exists
-    if cdr3_length == 0:
-        logging.warning('No CDRs found in the light chain.')
-        return None, None
-
-    return data, seq_map
-
-
-def preprocess_sabdab_structure(task):
-    entry = task['entry']
-    pdb_path = task['pdb_path']
-
-    parser = PDB.PDBParser(QUIET=True)
-    model = parser.get_structure(id, pdb_path)[0]
-
-    parsed = {
-        'id': entry['id'],
-        'heavy': None,
-        'heavy_seqmap': None,
-        'light': None,
-        'light_seqmap': None,
-        'antigen': None,
-        'antigen_seqmap': None,
-    }
-    try:
-        if entry['H_chain'] is not None:
-            (
-                parsed['heavy'], 
-                parsed['heavy_seqmap']
-            ) = _label_heavy_chain_cdr(*parsers.parse_biopython_structure(
-                model[entry['H_chain']],
-                max_resseq = 113    # Chothia, end of Heavy chain Fv
-            ))
-        
-        if entry['L_chain'] is not None:
-            (
-                parsed['light'], 
-                parsed['light_seqmap']
-            ) = _label_light_chain_cdr(*parsers.parse_biopython_structure(
-                model[entry['L_chain']],
-                max_resseq = 106    # Chothia, end of Light chain Fv
-            ))
-
-        if parsed['heavy'] is None and parsed['light'] is None:
-            raise ValueError('Neither valid H-chain or L-chain is found.')
-    
-        if len(entry['ag_chains']) > 0:
-            chains = [model[c] for c in entry['ag_chains']]
-            (
-                parsed['antigen'], 
-                parsed['antigen_seqmap']
-            ) = parsers.parse_biopython_structure(chains)
-
-    except (
-        PDBExceptions.PDBConstructionException, 
-        parsers.ParsingException, 
-        KeyError,
-        ValueError,
-    ) as e:
-        logging.warning('[{}] {}: {}'.format(
-            task['id'], 
-            e.__class__.__name__, 
-            str(e)
-        ))
-        return None
-
-    return parsed
-
-
-class SAbDabDataset(Dataset):
-
-    MAP_SIZE = 32*(1024*1024*1024)  # 32GB
-
-    def __init__(
-        self, 
-        summary_path = './data/sabdab_summary_all.tsv', 
-        chothia_dir = './data/all_structures/chothia', 
-        processed_dir = './data/processed',
-        split = 'train',
-        split_seed = 2022,
-        transform = None,
-        reset = False,
-    ):
-        super().__init__()
-        self.summary_path = summary_path
-        self.chothia_dir = chothia_dir
-        if not os.path.exists(chothia_dir):
-            raise FileNotFoundError(
-                f"SAbDab structures not found in {chothia_dir}. "
-                "Please download them from http://opig.stats.ox.ac.uk/webapps/newsabdab/sabdab/archive/all/"
-            )
-        self.processed_dir = processed_dir
-        os.makedirs(processed_dir, exist_ok=True)
-
-        self.sabdab_entries = None
-        self._load_sabdab_entries()
-
-        self.db_conn = None
-        self.db_ids = None
-        self._load_structures(reset)
-
-        self.clusters = None
-        self.id_to_cluster = None
-        self._load_clusters(reset)
-
-        self.ids_in_split = None
-        self._load_split(split, split_seed)
-
-        self.transform = transform
-
-    def _load_sabdab_entries(self):
-        df = pd.read_csv(self.summary_path, sep='\t')
-        entries_all = []
-        for i, row in tqdm(
-            df.iterrows(), 
-            dynamic_ncols=True, 
-            desc='Loading entries',
-            total=len(df),
-        ):
-            entry_id = "{pdbcode}_{H}_{L}_{Ag}".format(
-                pdbcode = row['pdb'],
-                H = nan_to_empty_string(row['Hchain']),
-                L = nan_to_empty_string(row['Lchain']),
-                Ag = ''.join(split_sabdab_delimited_str(
-                    nan_to_empty_string(row['antigen_chain'])
-                ))
-            )
-            ag_chains = split_sabdab_delimited_str(
-                nan_to_empty_string(row['antigen_chain'])
-            )
-            resolution = parse_sabdab_resolution(row['resolution'])
-            entry = {
-                'id': entry_id,
-                'pdbcode': row['pdb'],
-                'H_chain': nan_to_none(row['Hchain']),
-                'L_chain': nan_to_none(row['Lchain']),
-                'ag_chains': ag_chains,
-                'ag_type': nan_to_none(row['antigen_type']),
-                'ag_name': nan_to_none(row['antigen_name']),
-                'date': datetime.datetime.strptime(row['date'], '%m/%d/%y'),
-                'resolution': resolution,
-                'method': row['method'],
-                'scfv': row['scfv'],
-            }
-
-            # Filtering
-            if (
-                (entry['ag_type'] in ALLOWED_AG_TYPES or entry['ag_type'] is None)
-                and (entry['resolution'] is not None and entry['resolution'] <= RESOLUTION_THRESHOLD)
-            ):
-                entries_all.append(entry)
-        self.sabdab_entries = entries_all
-
-    def _load_structures(self, reset):
-        if not os.path.exists(self._structure_cache_path) or reset:
-            if os.path.exists(self._structure_cache_path):
-                os.unlink(self._structure_cache_path)
-            self._preprocess_structures()
-
-        with open(self._structure_cache_path + '-ids', 'rb') as f:
-            self.db_ids = pickle.load(f)
-        self.sabdab_entries = list(
-            filter(
-                lambda e: e['id'] in self.db_ids,
-                self.sabdab_entries
-            )
-        )
-
-    @property
-    def _structure_cache_path(self):
-        return os.path.join(self.processed_dir, 'structures.lmdb')
-        
-    def _preprocess_structures(self):
-        tasks = []
-        for entry in self.sabdab_entries:
-            pdb_path = os.path.join(self.chothia_dir, '{}.pdb'.format(entry['pdbcode']))
-            if not os.path.exists(pdb_path):
-                logging.warning(f"PDB not found: {pdb_path}")
-                continue
-            tasks.append({
-                'id': entry['id'],
-                'entry': entry,
-                'pdb_path': pdb_path,
-            })
-
-        data_list = joblib.Parallel(
-            n_jobs = max(joblib.cpu_count() // 2, 1),
-        )(
-            joblib.delayed(preprocess_sabdab_structure)(task)
-            for task in tqdm(tasks, dynamic_ncols=True, desc='Preprocess')
-        )
-
-        db_conn = lmdb.open(
-            self._structure_cache_path,
-            map_size = self.MAP_SIZE,
-            create=True,
-            subdir=False,
-            readonly=False,
-        )
-        ids = []
-        with db_conn.begin(write=True, buffers=True) as txn:
-            for data in tqdm(data_list, dynamic_ncols=True, desc='Write to LMDB'):
-                if data is None:
-                    continue
-                ids.append(data['id'])
-                txn.put(data['id'].encode('utf-8'), pickle.dumps(data))
-
-        with open(self._structure_cache_path + '-ids', 'wb') as f:
-            pickle.dump(ids, f)
-
-    @property
-    def _cluster_path(self):
-        return os.path.join(self.processed_dir, 'cluster_result_cluster.tsv')
-
-    def _load_clusters(self, reset):
-        if not os.path.exists(self._cluster_path) or reset:
-            self._create_clusters()
-
-        clusters, id_to_cluster = {}, {}
-        with open(self._cluster_path, 'r') as f:
-            for line in f.readlines():
-                cluster_name, data_id = line.split()
-                if cluster_name not in clusters:
-                    clusters[cluster_name] = []
-                clusters[cluster_name].append(data_id)
-                id_to_cluster[data_id] = cluster_name
-        self.clusters = clusters
-        self.id_to_cluster = id_to_cluster
-
-    def _create_clusters(self):
-        cdr_records = []
-        for id in self.db_ids:
-            structure = self.get_structure(id)
-            if structure['heavy'] is not None:
-                cdr_records.append(SeqRecord.SeqRecord(
-                    Seq.Seq(structure['heavy']['H3_seq']),
-                    id = structure['id'],
-                    name = '',
-                    description = '',
-                ))
-            elif structure['light'] is not None:
-                cdr_records.append(SeqRecord.SeqRecord(
-                    Seq.Seq(structure['light']['L3_seq']),
-                    id = structure['id'],
-                    name = '',
-                    description = '',
-                ))
-        fasta_path = os.path.join(self.processed_dir, 'cdr_sequences.fasta')
-        SeqIO.write(cdr_records, fasta_path, 'fasta')
-
-        cmd = ' '.join([
-            'mmseqs', 'easy-cluster',
-            os.path.realpath(fasta_path),
-            'cluster_result', 'cluster_tmp',
-            '--min-seq-id', '0.5',
-            '-c', '0.8',
-            '--cov-mode', '1',
-        ])
-        subprocess.run(cmd, cwd=self.processed_dir, shell=True, check=True)
-
-    def _load_split(self, split, split_seed):
-        assert split in ('train', 'val', 'test')
-        ids_test = [
-            entry['id']
-            for entry in self.sabdab_entries
-            if entry['ag_name'] in TEST_ANTIGENS
-        ]
-        test_relevant_clusters = set([self.id_to_cluster[id] for id in ids_test])
-
-        ids_train_val = [
-            entry['id']
-            for entry in self.sabdab_entries
-            if self.id_to_cluster[entry['id']] not in test_relevant_clusters
-        ]
-        random.Random(split_seed).shuffle(ids_train_val)
-        if split == 'test':
-            self.ids_in_split = ids_test
-        elif split == 'val':
-            self.ids_in_split = ids_train_val[:20]
-        else:
-            self.ids_in_split = ids_train_val[20:]
-
-    def _connect_db(self):
-        if self.db_conn is not None:
-            return
-        self.db_conn = lmdb.open(
-            self._structure_cache_path,
-            map_size=self.MAP_SIZE,
-            create=False,
-            subdir=False,
-            readonly=True,
-            lock=False,
-            readahead=False,
-            meminit=False,
-        )
-
-    def get_structure(self, id):
-        self._connect_db()
-        with self.db_conn.begin() as txn:
-            return pickle.loads(txn.get(id.encode()))
-
-    def __len__(self):
-        return len(self.ids_in_split)
-
-    def __getitem__(self, index):
-        id = self.ids_in_split[index]
-        data = self.get_structure(id)
-        if self.transform is not None:
-            data = self.transform(data)
-        return data
-
-
-@register_dataset('sabdab')
-def get_sabdab_dataset(cfg, transform):
-    return SAbDabDataset(
-        summary_path = cfg.summary_path,
-        chothia_dir = cfg.chothia_dir,
-        processed_dir = cfg.processed_dir,
-        split = cfg.split,
-        split_seed = cfg.get('split_seed', 2022),
-        transform = transform,
-    )
-
-
-if __name__ == '__main__':
-    import argparse
-    parser = argparse.ArgumentParser()
-    parser.add_argument('--split', type=str, default='train')
-    parser.add_argument('--processed_dir', type=str, default='./data/processed')
-    parser.add_argument('--reset', action='store_true', default=False)
-    args = parser.parse_args()
-    if args.reset:
-        sure = input('Sure to reset? (y/n): ')
-        if sure != 'y':
-            exit()
-    dataset = SAbDabDataset(
-        processed_dir=args.processed_dir,
-        split=args.split, 
-        reset=args.reset
-    )
-    print(dataset[0])
-    print(len(dataset), len(dataset.clusters))
diff --git a/spaces/yangogo/bingo/src/lib/bots/bing/types.ts b/spaces/yangogo/bingo/src/lib/bots/bing/types.ts
deleted file mode 100644
index 02cd5e8b01e3529642d28dc1539bf958f4ac420b..0000000000000000000000000000000000000000
--- a/spaces/yangogo/bingo/src/lib/bots/bing/types.ts
+++ /dev/null
@@ -1,259 +0,0 @@
-export type Author = 'user' | 'system' | 'bot'
-
-export type BotId = 'bing'
-
-export enum BingConversationStyle {
-  Creative = 'Creative',
-  Balanced = 'Balanced',
-  Precise = 'Precise'
-}
-
-export enum ErrorCode {
-  CONVERSATION_LIMIT = 'CONVERSATION_LIMIT',
-  BING_UNAUTHORIZED = 'BING_UNAUTHORIZED',
-  BING_FORBIDDEN = 'BING_FORBIDDEN',
-  BING_CAPTCHA = 'BING_CAPTCHA',
-  THROTTLE_LIMIT = 'THROTTLE_LIMIT',
-  NOTFOUND_ERROR = 'NOT_FOUND_ERROR',
-  UNKOWN_ERROR = 'UNKOWN_ERROR',
-  NETWORK_ERROR = 'NETWORK_ERROR',
-}
-
-export class ChatError extends Error {
-  code: ErrorCode
-  constructor(message: string, code: ErrorCode) {
-    super(message)
-    this.code = code
-  }
-}
-
-export type ChatMessageModel = {
-  id: string
-  author: Author
-  text: string
-  error?: ChatError
-  throttling?: Throttling
-  sourceAttributions?: SourceAttribution[]
-  suggestedResponses?: SuggestedResponse[]
-}
-
-export interface ConversationModel {
-  messages: ChatMessageModel[]
-}
-
-export type Event =
-  | {
-      type: 'UPDATE_ANSWER'
-      data: {
-        text: string
-        spokenText?: string
-        sourceAttributions?: SourceAttribution[]
-        suggestedResponses?: SuggestedResponse[]
-        throttling?: Throttling
-      }
-    }
-  | {
-      type: 'DONE'
-    }
-  | {
-      type: 'ERROR'
-      error: ChatError
-    }
-
-export interface SendMessageParams<T> {
-  prompt: string
-  imageUrl?: string
-  options: T
-  onEvent: (event: Event) => void
-  signal?: AbortSignal
-}
-
-export interface ConversationResponse {
-  conversationId: string
-  clientId: string
-  conversationSignature: string
-  result: {
-    value: string
-    message?: string
-  }
-}
-
-export interface Telemetry {
-  metrics?: null
-  startTime: string
-}
-
-export interface ChatUpdateArgument {
-  messages?: ChatResponseMessage[]
-  throttling?: Throttling
-  requestId: string
-  result: null
-}
-
-export type ChatUpdateCompleteResponse = {
-  type: 2
-  invocationId: string
-  item: ChatResponseItem
-} | {
-  type: 1
-  target: string
-  arguments: ChatUpdateArgument[]
-} | {
-  type: 3
-  invocationId: string
-} | {
-  type: 6 | 7
-}
-
-export interface ChatRequestResult {
-  value: string
-  serviceVersion: string
-  error?: string
-}
-
-export interface ChatResponseItem {
-  messages: ChatResponseMessage[]
-  firstNewMessageIndex: number
-  suggestedResponses: null
-  conversationId: string
-  requestId: string
-  conversationExpiryTime: string
-  telemetry: Telemetry
-  result: ChatRequestResult
-  throttling: Throttling
-}
-export enum InvocationEventType {
-  Invocation = 1,
-  StreamItem = 2,
-  Completion = 3,
-  StreamInvocation = 4,
-  CancelInvocation = 5,
-  Ping = 6,
-  Close = 7,
-}
-
-// https://github.com/bytemate/bingchat-api/blob/main/src/lib.ts
-
-export interface ConversationInfo {
-  conversationId: string
-  clientId: string
-  conversationSignature: string
-  invocationId: number
-  conversationStyle: BingConversationStyle
-  prompt: string
-  imageUrl?: string
-}
-
-export interface BingChatResponse {
-  conversationSignature: string
-  conversationId: string
-  clientId: string
-  invocationId: number
-  conversationExpiryTime: Date
-  response: string
-  details: ChatResponseMessage
-}
-
-export interface Throttling {
-  maxNumLongDocSummaryUserMessagesInConversation: number
-  maxNumUserMessagesInConversation: number
-  numLongDocSummaryUserMessagesInConversation: number
-  numUserMessagesInConversation: number
-}
-
-export interface ChatResponseMessage {
-  text: string
-  spokenText?: string
-  author: string
-  createdAt: Date
-  timestamp: Date
-  messageId: string
-  requestId: string
-  offense: string
-  adaptiveCards: AdaptiveCard[]
-  sourceAttributions: SourceAttribution[]
-  feedback: Feedback
-  contentOrigin: string
-  messageType?: string
-  contentType?: string
-  privacy: null
-  suggestedResponses: SuggestedResponse[]
-}
-
-export interface AdaptiveCard {
-  type: string
-  version: string
-  body: Body[]
-}
-
-export interface Body {
-  type: string
-  text: string
-  wrap: boolean
-  size?: string
-}
-
-export interface Feedback {
-  tag: null
-  updatedOn: null
-  type: string
-}
-
-export interface SourceAttribution {
-  providerDisplayName: string
-  seeMoreUrl: string
-  searchQuery: string
-}
-
-export interface SuggestedResponse {
-  text: string
-  author?: Author
-  createdAt?: Date
-  timestamp?: Date
-  messageId?: string
-  messageType?: string
-  offense?: string
-  feedback?: Feedback
-  contentOrigin?: string
-  privacy?: null
-}
-
-export interface KBlobRequest {
-  knowledgeRequest: KnowledgeRequestContext
-  imageBase64?: string
-}
-
-export interface KBlobResponse {
-  blobId: string
-  processedBlobId?: string
-}
-
-export interface KnowledgeRequestContext {
-  imageInfo:        ImageInfo;
-  knowledgeRequest: KnowledgeRequest;
-}
-
-export interface ImageInfo {
-  url?: string;
-}
-
-export interface KnowledgeRequest {
-  invokedSkills:            string[];
-  subscriptionId:           string;
-  invokedSkillsRequestData: InvokedSkillsRequestData;
-  convoData:                ConvoData;
-}
-
-export interface ConvoData {
-  convoid:   string;
-  convotone: BingConversationStyle;
-}
-
-export interface InvokedSkillsRequestData {
-  enableFaceBlur: boolean;
-}
-
-export interface FileItem {
-  url: string;
-  status?: 'loading' | 'error' | 'loaded'
-}
diff --git a/spaces/yangogo/bingo/src/lib/storage.ts b/spaces/yangogo/bingo/src/lib/storage.ts
deleted file mode 100644
index a5b7825c4f76a28c704da512ae39e8bb45addd09..0000000000000000000000000000000000000000
--- a/spaces/yangogo/bingo/src/lib/storage.ts
+++ /dev/null
@@ -1,27 +0,0 @@
-import { getMany, set, del, clear } from 'idb-keyval';
-
-export const Storage = {
-  async get(key: string | string[] | null): Promise<any> {
-    if (key === null) return null;
-    if (typeof key === 'string') {
-      key = [key]
-    }
-    const returnData: Record<string, any> = {}
-    const values = await getMany(key)
-    key.forEach((k, idx)=> {
-      returnData[k] = values[idx]
-    })
-    return returnData;
-  },
-  async set(object: any) {
-    for (let key of Object.keys(object)) {
-      await set(key, object[key])
-    }
-  },
-  async remove(key: string) {
-    return del(key);
-  },
-  async clear() {
-    return clear();
-  }
-}
diff --git a/spaces/yizhangliu/Grounded-Segment-Anything/transformers_4_35_0/models/esm/tokenization_esm.py b/spaces/yizhangliu/Grounded-Segment-Anything/transformers_4_35_0/models/esm/tokenization_esm.py
deleted file mode 100644
index 065eaae1d50520707cbdaf8748951c145f348d26..0000000000000000000000000000000000000000
--- a/spaces/yizhangliu/Grounded-Segment-Anything/transformers_4_35_0/models/esm/tokenization_esm.py
+++ /dev/null
@@ -1,162 +0,0 @@
-# coding=utf-8
-# Copyright 2022 Meta and The HuggingFace Inc. team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Tokenization classes for ESM."""
-import os
-from typing import List, Optional, Union
-
-from ...tokenization_utils import PreTrainedTokenizer
-from ...tokenization_utils_base import AddedToken
-from ...utils import logging
-
-
-logger = logging.get_logger(__name__)
-
-VOCAB_FILES_NAMES = {"vocab_file": "vocab.txt"}
-
-PRETRAINED_VOCAB_FILES_MAP = {
-    "vocab_file": {
-        "facebook/esm2_t6_8M_UR50D": "https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt",
-        "facebook/esm2_t12_35M_UR50D": "https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt",
-    },
-}
-
-PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
-    "facebook/esm2_t6_8M_UR50D": 1024,
-    "facebook/esm2_t12_35M_UR50D": 1024,
-}
-
-
-def load_vocab_file(vocab_file):
-    with open(vocab_file, "r") as f:
-        lines = f.read().splitlines()
-        return [l.strip() for l in lines]
-
-
-class EsmTokenizer(PreTrainedTokenizer):
-    """
-    Constructs an ESM tokenizer.
-    """
-
-    vocab_files_names = VOCAB_FILES_NAMES
-    pretrained_vocab_files_map = PRETRAINED_VOCAB_FILES_MAP
-    max_model_input_sizes = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
-    model_input_names = ["input_ids", "attention_mask"]
-
-    def __init__(
-        self,
-        vocab_file,
-        unk_token="<unk>",
-        cls_token="<cls>",
-        pad_token="<pad>",
-        mask_token="<mask>",
-        eos_token="<eos>",
-        **kwargs,
-    ):
-        self.all_tokens = load_vocab_file(vocab_file)
-        self._id_to_token = dict(enumerate(self.all_tokens))
-        self._token_to_id = {tok: ind for ind, tok in enumerate(self.all_tokens)}
-        super().__init__(
-            unk_token=unk_token,
-            cls_token=cls_token,
-            pad_token=pad_token,
-            mask_token=mask_token,
-            eos_token=eos_token,
-            **kwargs,
-        )
-
-        # TODO, all the tokens are added? But they are also part of the vocab... bit strange.
-        # none of them are special, but they all need special splitting.
-
-        self.unique_no_split_tokens = self.all_tokens
-        self._update_trie(self.unique_no_split_tokens)
-
-    def _convert_id_to_token(self, index: int) -> str:
-        return self._id_to_token.get(index, self.unk_token)
-
-    def _convert_token_to_id(self, token: str) -> int:
-        return self._token_to_id.get(token, self._token_to_id.get(self.unk_token))
-
-    def _tokenize(self, text, **kwargs):
-        return text.split()
-
-    def get_vocab_size(self, with_added_tokens=False):
-        return len(self._id_to_token)
-
-    def get_vocab(self):
-        return {token: i for i, token in enumerate(self.all_tokens)}
-
-    def token_to_id(self, token: str) -> int:
-        return self._token_to_id.get(token, self._token_to_id.get(self.unk_token))
-
-    def id_to_token(self, index: int) -> str:
-        return self._id_to_token.get(index, self.unk_token)
-
-    def build_inputs_with_special_tokens(
-        self, token_ids_0: List[int], token_ids_1: Optional[List[int]] = None
-    ) -> List[int]:
-        cls = [self.cls_token_id]
-        sep = [self.eos_token_id]  # No sep token in ESM vocabulary
-        if token_ids_1 is None:
-            if self.eos_token_id is None:
-                return cls + token_ids_0
-            else:
-                return cls + token_ids_0 + sep
-        elif self.eos_token_id is None:
-            raise ValueError("Cannot tokenize multiple sequences when EOS token is not set!")
-        return cls + token_ids_0 + sep + token_ids_1 + sep  # Multiple inputs always have an EOS token
-
-    def get_special_tokens_mask(
-        self, token_ids_0: List, token_ids_1: Optional[List] = None, already_has_special_tokens: bool = False
-    ) -> List[int]:
-        """
-        Retrieves sequence ids from a token list that has no special tokens added. This method is called when adding
-        special tokens using the tokenizer `prepare_for_model` or `encode_plus` methods.
-
-        Args:
-            token_ids_0 (`List[int]`):
-                List of ids of the first sequence.
-            token_ids_1 (`List[int]`, *optional*):
-                List of ids of the second sequence.
-            already_has_special_tokens (`bool`, *optional*, defaults to `False`):
-                Whether or not the token list is already formatted with special tokens for the model.
-
-        Returns:
-            A list of integers in the range [0, 1]: 1 for a special token, 0 for a sequence token.
-        """
-        if already_has_special_tokens:
-            if token_ids_1 is not None:
-                raise ValueError(
-                    "You should not supply a second sequence if the provided sequence of "
-                    "ids is already formatted with special tokens for the model."
-                )
-
-            return [1 if token in self.all_special_ids else 0 for token in token_ids_0]
-        mask = [1] + ([0] * len(token_ids_0)) + [1]
-        if token_ids_1 is not None:
-            mask += [0] * len(token_ids_1) + [1]
-        return mask
-
-    def save_vocabulary(self, save_directory, filename_prefix):
-        vocab_file = os.path.join(save_directory, (filename_prefix + "-" if filename_prefix else "") + "vocab.txt")
-        with open(vocab_file, "w") as f:
-            f.write("\n".join(self.all_tokens))
-        return (vocab_file,)
-
-    @property
-    def vocab_size(self) -> int:
-        return self.get_vocab_size(with_added_tokens=False)
-
-    def _add_tokens(self, new_tokens: Union[List[str], List[AddedToken]], special_tokens: bool = False) -> int:
-        return super()._add_tokens(new_tokens, special_tokens=True)
diff --git a/spaces/yizhangliu/Grounded-Segment-Anything/transformers_4_35_0/models/oneformer/__init__.py b/spaces/yizhangliu/Grounded-Segment-Anything/transformers_4_35_0/models/oneformer/__init__.py
deleted file mode 100644
index 01bbaa1398142c3cca8800450ee52ea58295719f..0000000000000000000000000000000000000000
--- a/spaces/yizhangliu/Grounded-Segment-Anything/transformers_4_35_0/models/oneformer/__init__.py
+++ /dev/null
@@ -1,73 +0,0 @@
-# Copyright 2022 The HuggingFace Team. All rights reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-from typing import TYPE_CHECKING
-
-from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
-
-
-_import_structure = {
-    "configuration_oneformer": ["ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "OneFormerConfig"],
-    "processing_oneformer": ["OneFormerProcessor"],
-}
-
-try:
-    if not is_vision_available():
-        raise OptionalDependencyNotAvailable()
-except OptionalDependencyNotAvailable:
-    pass
-else:
-    _import_structure["image_processing_oneformer"] = ["OneFormerImageProcessor"]
-
-try:
-    if not is_torch_available():
-        raise OptionalDependencyNotAvailable()
-except OptionalDependencyNotAvailable:
-    pass
-else:
-    _import_structure["modeling_oneformer"] = [
-        "ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
-        "OneFormerForUniversalSegmentation",
-        "OneFormerModel",
-        "OneFormerPreTrainedModel",
-    ]
-
-if TYPE_CHECKING:
-    from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
-    from .processing_oneformer import OneFormerProcessor
-
-    try:
-        if not is_vision_available():
-            raise OptionalDependencyNotAvailable()
-    except OptionalDependencyNotAvailable:
-        pass
-    else:
-        from .image_processing_oneformer import OneFormerImageProcessor
-    try:
-        if not is_torch_available():
-            raise OptionalDependencyNotAvailable()
-    except OptionalDependencyNotAvailable:
-        pass
-    else:
-        from .modeling_oneformer import (
-            ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
-            OneFormerForUniversalSegmentation,
-            OneFormerModel,
-            OneFormerPreTrainedModel,
-        )
-
-
-else:
-    import sys
-
-    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure)
diff --git a/spaces/ynhe/AskAnything/models/grit_src/third_party/CenterNet2/dev/packaging/gen_wheel_index.sh b/spaces/ynhe/AskAnything/models/grit_src/third_party/CenterNet2/dev/packaging/gen_wheel_index.sh
deleted file mode 100644
index ec96a27d809fe87ad963f3ffa7147ca4afbc1711..0000000000000000000000000000000000000000
--- a/spaces/ynhe/AskAnything/models/grit_src/third_party/CenterNet2/dev/packaging/gen_wheel_index.sh
+++ /dev/null
@@ -1,46 +0,0 @@
-#!/bin/bash -e
-# Copyright (c) Facebook, Inc. and its affiliates.
-
-
-root=$(readlink -f $1)
-if [[ -z "$root" ]]; then
-  echo "Usage: ./gen_wheel_index.sh /absolute/path/to/wheels"
-  exit
-fi
-
-export LC_ALL=C  # reproducible sort
-# NOTE: all sort in this script might not work when xx.10 is released
-
-index=$root/index.html
-
-cd "$root"
-for cu in cpu cu92 cu100 cu101 cu102 cu110 cu111 cu113; do
-  mkdir -p "$root/$cu"
-  cd "$root/$cu"
-  echo "Creating $PWD/index.html ..."
-  # First sort by torch version, then stable sort by d2 version with unique.
-  # As a result, the latest torch version for each d2 version is kept.
-  for whl in $(find -type f -name '*.whl' -printf '%P\n' \
-    | sort -k 1 -r  | sort -t '/' -k 2 --stable -r --unique); do
-    echo "<a href=\"${whl/+/%2B}\">$whl</a><br>"
-  done > index.html
-
-
-  for torch in torch*; do
-    cd "$root/$cu/$torch"
-
-    # list all whl for each cuda,torch version
-    echo "Creating $PWD/index.html ..."
-    for whl in $(find . -type f -name '*.whl' -printf '%P\n' | sort -r); do
-      echo "<a href=\"${whl/+/%2B}\">$whl</a><br>"
-    done > index.html
-  done
-done
-
-cd "$root"
-# Just list everything:
-echo "Creating $index ..."
-for whl in $(find . -type f -name '*.whl' -printf '%P\n' | sort -r); do
-  echo "<a href=\"${whl/+/%2B}\">$whl</a><br>"
-done > "$index"
-
diff --git a/spaces/yoinked/audio-diffusion/audiodiffusion/utils.py b/spaces/yoinked/audio-diffusion/audiodiffusion/utils.py
deleted file mode 100644
index ed274bf35e62778630da7e6546e06701c7897b4f..0000000000000000000000000000000000000000
--- a/spaces/yoinked/audio-diffusion/audiodiffusion/utils.py
+++ /dev/null
@@ -1,303 +0,0 @@
-# adpated from https://github.com/huggingface/diffusers/blob/main/scripts/convert_original_stable_diffusion_to_diffusers.py
-
-import torch
-from diffusers import AutoencoderKL
-
-
-def shave_segments(path, n_shave_prefix_segments=1):
-    """
-    Removes segments. Positive values shave the first segments, negative shave the last segments.
-    """
-    if n_shave_prefix_segments >= 0:
-        return ".".join(path.split(".")[n_shave_prefix_segments:])
-    else:
-        return ".".join(path.split(".")[:n_shave_prefix_segments])
-
-
-def renew_vae_resnet_paths(old_list, n_shave_prefix_segments=0):
-    """
-    Updates paths inside resnets to the new naming scheme (local renaming)
-    """
-    mapping = []
-    for old_item in old_list:
-        new_item = old_item
-
-        new_item = new_item.replace("nin_shortcut", "conv_shortcut")
-        new_item = shave_segments(new_item, n_shave_prefix_segments=n_shave_prefix_segments)
-
-        mapping.append({"old": old_item, "new": new_item})
-
-    return mapping
-
-
-def renew_vae_attention_paths(old_list, n_shave_prefix_segments=0):
-    """
-    Updates paths inside attentions to the new naming scheme (local renaming)
-    """
-    mapping = []
-    for old_item in old_list:
-        new_item = old_item
-
-        new_item = new_item.replace("norm.weight", "group_norm.weight")
-        new_item = new_item.replace("norm.bias", "group_norm.bias")
-
-        new_item = new_item.replace("q.weight", "query.weight")
-        new_item = new_item.replace("q.bias", "query.bias")
-
-        new_item = new_item.replace("k.weight", "key.weight")
-        new_item = new_item.replace("k.bias", "key.bias")
-
-        new_item = new_item.replace("v.weight", "value.weight")
-        new_item = new_item.replace("v.bias", "value.bias")
-
-        new_item = new_item.replace("proj_out.weight", "proj_attn.weight")
-        new_item = new_item.replace("proj_out.bias", "proj_attn.bias")
-
-        new_item = shave_segments(new_item, n_shave_prefix_segments=n_shave_prefix_segments)
-
-        mapping.append({"old": old_item, "new": new_item})
-
-    return mapping
-
-
-def assign_to_checkpoint(
-    paths,
-    checkpoint,
-    old_checkpoint,
-    attention_paths_to_split=None,
-    additional_replacements=None,
-    config=None,
-):
-    """
-    This does the final conversion step: take locally converted weights and apply a global renaming
-    to them. It splits attention layers, and takes into account additional replacements
-    that may arise.
-
-    Assigns the weights to the new checkpoint.
-    """
-    assert isinstance(paths, list), "Paths should be a list of dicts containing 'old' and 'new' keys."
-
-    # Splits the attention layers into three variables.
-    if attention_paths_to_split is not None:
-        for path, path_map in attention_paths_to_split.items():
-            old_tensor = old_checkpoint[path]
-            channels = old_tensor.shape[0] // 3
-
-            target_shape = (-1, channels) if len(old_tensor.shape) == 3 else (-1)
-
-            num_heads = old_tensor.shape[0] // config["num_head_channels"] // 3
-
-            old_tensor = old_tensor.reshape((num_heads, 3 * channels // num_heads) + old_tensor.shape[1:])
-            query, key, value = old_tensor.split(channels // num_heads, dim=1)
-
-            checkpoint[path_map["query"]] = query.reshape(target_shape)
-            checkpoint[path_map["key"]] = key.reshape(target_shape)
-            checkpoint[path_map["value"]] = value.reshape(target_shape)
-
-    for path in paths:
-        new_path = path["new"]
-
-        # These have already been assigned
-        if attention_paths_to_split is not None and new_path in attention_paths_to_split:
-            continue
-
-        # Global renaming happens here
-        new_path = new_path.replace("middle_block.0", "mid_block.resnets.0")
-        new_path = new_path.replace("middle_block.1", "mid_block.attentions.0")
-        new_path = new_path.replace("middle_block.2", "mid_block.resnets.1")
-
-        if additional_replacements is not None:
-            for replacement in additional_replacements:
-                new_path = new_path.replace(replacement["old"], replacement["new"])
-
-        # proj_attn.weight has to be converted from conv 1D to linear
-        if "proj_attn.weight" in new_path:
-            checkpoint[new_path] = old_checkpoint[path["old"]][:, :, 0]
-        else:
-            checkpoint[new_path] = old_checkpoint[path["old"]]
-
-
-def conv_attn_to_linear(checkpoint):
-    keys = list(checkpoint.keys())
-    attn_keys = ["query.weight", "key.weight", "value.weight"]
-    for key in keys:
-        if ".".join(key.split(".")[-2:]) in attn_keys:
-            if checkpoint[key].ndim > 2:
-                checkpoint[key] = checkpoint[key][:, :, 0, 0]
-        elif "proj_attn.weight" in key:
-            if checkpoint[key].ndim > 2:
-                checkpoint[key] = checkpoint[key][:, :, 0]
-
-
-def create_vae_diffusers_config(original_config):
-    """
-    Creates a config for the diffusers based on the config of the LDM model.
-    """
-    vae_params = original_config.model.params.ddconfig
-    _ = original_config.model.params.embed_dim
-
-    block_out_channels = [vae_params.ch * mult for mult in vae_params.ch_mult]
-    down_block_types = ["DownEncoderBlock2D"] * len(block_out_channels)
-    up_block_types = ["UpDecoderBlock2D"] * len(block_out_channels)
-
-    config = dict(
-        sample_size=tuple(vae_params.resolution),
-        in_channels=vae_params.in_channels,
-        out_channels=vae_params.out_ch,
-        down_block_types=tuple(down_block_types),
-        up_block_types=tuple(up_block_types),
-        block_out_channels=tuple(block_out_channels),
-        latent_channels=vae_params.z_channels,
-        layers_per_block=vae_params.num_res_blocks,
-    )
-    return config
-
-
-def convert_ldm_vae_checkpoint(checkpoint, config):
-    # extract state dict for VAE
-    vae_state_dict = checkpoint
-
-    new_checkpoint = {}
-
-    new_checkpoint["encoder.conv_in.weight"] = vae_state_dict["encoder.conv_in.weight"]
-    new_checkpoint["encoder.conv_in.bias"] = vae_state_dict["encoder.conv_in.bias"]
-    new_checkpoint["encoder.conv_out.weight"] = vae_state_dict["encoder.conv_out.weight"]
-    new_checkpoint["encoder.conv_out.bias"] = vae_state_dict["encoder.conv_out.bias"]
-    new_checkpoint["encoder.conv_norm_out.weight"] = vae_state_dict["encoder.norm_out.weight"]
-    new_checkpoint["encoder.conv_norm_out.bias"] = vae_state_dict["encoder.norm_out.bias"]
-
-    new_checkpoint["decoder.conv_in.weight"] = vae_state_dict["decoder.conv_in.weight"]
-    new_checkpoint["decoder.conv_in.bias"] = vae_state_dict["decoder.conv_in.bias"]
-    new_checkpoint["decoder.conv_out.weight"] = vae_state_dict["decoder.conv_out.weight"]
-    new_checkpoint["decoder.conv_out.bias"] = vae_state_dict["decoder.conv_out.bias"]
-    new_checkpoint["decoder.conv_norm_out.weight"] = vae_state_dict["decoder.norm_out.weight"]
-    new_checkpoint["decoder.conv_norm_out.bias"] = vae_state_dict["decoder.norm_out.bias"]
-
-    new_checkpoint["quant_conv.weight"] = vae_state_dict["quant_conv.weight"]
-    new_checkpoint["quant_conv.bias"] = vae_state_dict["quant_conv.bias"]
-    new_checkpoint["post_quant_conv.weight"] = vae_state_dict["post_quant_conv.weight"]
-    new_checkpoint["post_quant_conv.bias"] = vae_state_dict["post_quant_conv.bias"]
-
-    # Retrieves the keys for the encoder down blocks only
-    num_down_blocks = len({".".join(layer.split(".")[:3]) for layer in vae_state_dict if "encoder.down" in layer})
-    down_blocks = {
-        layer_id: [key for key in vae_state_dict if f"down.{layer_id}" in key] for layer_id in range(num_down_blocks)
-    }
-
-    # Retrieves the keys for the decoder up blocks only
-    num_up_blocks = len({".".join(layer.split(".")[:3]) for layer in vae_state_dict if "decoder.up" in layer})
-    up_blocks = {
-        layer_id: [key for key in vae_state_dict if f"up.{layer_id}" in key] for layer_id in range(num_up_blocks)
-    }
-
-    for i in range(num_down_blocks):
-        resnets = [key for key in down_blocks[i] if f"down.{i}" in key and f"down.{i}.downsample" not in key]
-
-        if f"encoder.down.{i}.downsample.conv.weight" in vae_state_dict:
-            new_checkpoint[f"encoder.down_blocks.{i}.downsamplers.0.conv.weight"] = vae_state_dict.pop(
-                f"encoder.down.{i}.downsample.conv.weight"
-            )
-            new_checkpoint[f"encoder.down_blocks.{i}.downsamplers.0.conv.bias"] = vae_state_dict.pop(
-                f"encoder.down.{i}.downsample.conv.bias"
-            )
-
-        paths = renew_vae_resnet_paths(resnets)
-        meta_path = {"old": f"down.{i}.block", "new": f"down_blocks.{i}.resnets"}
-        assign_to_checkpoint(
-            paths,
-            new_checkpoint,
-            vae_state_dict,
-            additional_replacements=[meta_path],
-            config=config,
-        )
-
-    mid_resnets = [key for key in vae_state_dict if "encoder.mid.block" in key]
-    num_mid_res_blocks = 2
-    for i in range(1, num_mid_res_blocks + 1):
-        resnets = [key for key in mid_resnets if f"encoder.mid.block_{i}" in key]
-
-        paths = renew_vae_resnet_paths(resnets)
-        meta_path = {"old": f"mid.block_{i}", "new": f"mid_block.resnets.{i - 1}"}
-        assign_to_checkpoint(
-            paths,
-            new_checkpoint,
-            vae_state_dict,
-            additional_replacements=[meta_path],
-            config=config,
-        )
-
-    mid_attentions = [key for key in vae_state_dict if "encoder.mid.attn" in key]
-    paths = renew_vae_attention_paths(mid_attentions)
-    meta_path = {"old": "mid.attn_1", "new": "mid_block.attentions.0"}
-    assign_to_checkpoint(
-        paths,
-        new_checkpoint,
-        vae_state_dict,
-        additional_replacements=[meta_path],
-        config=config,
-    )
-    conv_attn_to_linear(new_checkpoint)
-
-    for i in range(num_up_blocks):
-        block_id = num_up_blocks - 1 - i
-        resnets = [
-            key for key in up_blocks[block_id] if f"up.{block_id}" in key and f"up.{block_id}.upsample" not in key
-        ]
-
-        if f"decoder.up.{block_id}.upsample.conv.weight" in vae_state_dict:
-            new_checkpoint[f"decoder.up_blocks.{i}.upsamplers.0.conv.weight"] = vae_state_dict[
-                f"decoder.up.{block_id}.upsample.conv.weight"
-            ]
-            new_checkpoint[f"decoder.up_blocks.{i}.upsamplers.0.conv.bias"] = vae_state_dict[
-                f"decoder.up.{block_id}.upsample.conv.bias"
-            ]
-
-        paths = renew_vae_resnet_paths(resnets)
-        meta_path = {"old": f"up.{block_id}.block", "new": f"up_blocks.{i}.resnets"}
-        assign_to_checkpoint(
-            paths,
-            new_checkpoint,
-            vae_state_dict,
-            additional_replacements=[meta_path],
-            config=config,
-        )
-
-    mid_resnets = [key for key in vae_state_dict if "decoder.mid.block" in key]
-    num_mid_res_blocks = 2
-    for i in range(1, num_mid_res_blocks + 1):
-        resnets = [key for key in mid_resnets if f"decoder.mid.block_{i}" in key]
-
-        paths = renew_vae_resnet_paths(resnets)
-        meta_path = {"old": f"mid.block_{i}", "new": f"mid_block.resnets.{i - 1}"}
-        assign_to_checkpoint(
-            paths,
-            new_checkpoint,
-            vae_state_dict,
-            additional_replacements=[meta_path],
-            config=config,
-        )
-
-    mid_attentions = [key for key in vae_state_dict if "decoder.mid.attn" in key]
-    paths = renew_vae_attention_paths(mid_attentions)
-    meta_path = {"old": "mid.attn_1", "new": "mid_block.attentions.0"}
-    assign_to_checkpoint(
-        paths,
-        new_checkpoint,
-        vae_state_dict,
-        additional_replacements=[meta_path],
-        config=config,
-    )
-    conv_attn_to_linear(new_checkpoint)
-    return new_checkpoint
-
-
-def convert_ldm_to_hf_vae(ldm_checkpoint, ldm_config, hf_checkpoint, sample_size):
-    checkpoint = torch.load(ldm_checkpoint)["state_dict"]
-
-    # Convert the VAE model.
-    vae_config = create_vae_diffusers_config(ldm_config)
-    converted_vae_checkpoint = convert_ldm_vae_checkpoint(checkpoint, vae_config)
-
-    vae = AutoencoderKL(**vae_config)
-    vae.load_state_dict(converted_vae_checkpoint)
-    vae.save_pretrained(hf_checkpoint)
diff --git a/spaces/zhang-wei-jian/docker/node_modules/simple-update-notifier/build/index.js b/spaces/zhang-wei-jian/docker/node_modules/simple-update-notifier/build/index.js
deleted file mode 100644
index bb12d4532b38f8ee06ff8b3eee551f8506da7f80..0000000000000000000000000000000000000000
--- a/spaces/zhang-wei-jian/docker/node_modules/simple-update-notifier/build/index.js
+++ /dev/null
@@ -1,217 +0,0 @@
-'use strict';
-
-var process$1 = require('process');
-var semver = require('semver');
-var os = require('os');
-var path = require('path');
-var fs = require('fs');
-var https = require('https');
-
-function _interopDefaultLegacy (e) { return e && typeof e === 'object' && 'default' in e ? e : { 'default': e }; }
-
-var process__default = /*#__PURE__*/_interopDefaultLegacy(process$1);
-var semver__default = /*#__PURE__*/_interopDefaultLegacy(semver);
-var os__default = /*#__PURE__*/_interopDefaultLegacy(os);
-var path__default = /*#__PURE__*/_interopDefaultLegacy(path);
-var fs__default = /*#__PURE__*/_interopDefaultLegacy(fs);
-var https__default = /*#__PURE__*/_interopDefaultLegacy(https);
-
-/******************************************************************************
-Copyright (c) Microsoft Corporation.
-
-Permission to use, copy, modify, and/or distribute this software for any
-purpose with or without fee is hereby granted.
-
-THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
-REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY
-AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
-INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
-LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
-OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
-PERFORMANCE OF THIS SOFTWARE.
-***************************************************************************** */
-
-function __awaiter(thisArg, _arguments, P, generator) {
-    function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
-    return new (P || (P = Promise))(function (resolve, reject) {
-        function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
-        function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
-        function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
-        step((generator = generator.apply(thisArg, _arguments || [])).next());
-    });
-}
-
-function __generator(thisArg, body) {
-    var _ = { label: 0, sent: function() { if (t[0] & 1) throw t[1]; return t[1]; }, trys: [], ops: [] }, f, y, t, g;
-    return g = { next: verb(0), "throw": verb(1), "return": verb(2) }, typeof Symbol === "function" && (g[Symbol.iterator] = function() { return this; }), g;
-    function verb(n) { return function (v) { return step([n, v]); }; }
-    function step(op) {
-        if (f) throw new TypeError("Generator is already executing.");
-        while (_) try {
-            if (f = 1, y && (t = op[0] & 2 ? y["return"] : op[0] ? y["throw"] || ((t = y["return"]) && t.call(y), 0) : y.next) && !(t = t.call(y, op[1])).done) return t;
-            if (y = 0, t) op = [op[0] & 2, t.value];
-            switch (op[0]) {
-                case 0: case 1: t = op; break;
-                case 4: _.label++; return { value: op[1], done: false };
-                case 5: _.label++; y = op[1]; op = [0]; continue;
-                case 7: op = _.ops.pop(); _.trys.pop(); continue;
-                default:
-                    if (!(t = _.trys, t = t.length > 0 && t[t.length - 1]) && (op[0] === 6 || op[0] === 2)) { _ = 0; continue; }
-                    if (op[0] === 3 && (!t || (op[1] > t[0] && op[1] < t[3]))) { _.label = op[1]; break; }
-                    if (op[0] === 6 && _.label < t[1]) { _.label = t[1]; t = op; break; }
-                    if (t && _.label < t[2]) { _.label = t[2]; _.ops.push(op); break; }
-                    if (t[2]) _.ops.pop();
-                    _.trys.pop(); continue;
-            }
-            op = body.call(thisArg, _);
-        } catch (e) { op = [6, e]; y = 0; } finally { f = t = 0; }
-        if (op[0] & 5) throw op[1]; return { value: op[0] ? op[1] : void 0, done: true };
-    }
-}
-
-var packageJson = process__default["default"].env.npm_package_json;
-var userAgent = process__default["default"].env.npm_config_user_agent;
-var isNpm6 = Boolean(userAgent && userAgent.startsWith('npm'));
-var isNpm7 = Boolean(packageJson && packageJson.endsWith('package.json'));
-var isNpm = isNpm6 || isNpm7;
-var isYarn = Boolean(userAgent && userAgent.startsWith('yarn'));
-var isNpmOrYarn = isNpm || isYarn;
-
-var homeDirectory = os__default["default"].homedir();
-var configDir = process.env.XDG_CONFIG_HOME ||
-    path__default["default"].join(homeDirectory, '.config', 'simple-update-notifier');
-var getConfigFile = function (packageName) {
-    return path__default["default"].join(configDir, "".concat(packageName.replace('@', '').replace('/', '__'), ".json"));
-};
-var createConfigDir = function () {
-    if (!fs__default["default"].existsSync(configDir)) {
-        fs__default["default"].mkdirSync(configDir, { recursive: true });
-    }
-};
-var getLastUpdate = function (packageName) {
-    var configFile = getConfigFile(packageName);
-    try {
-        if (!fs__default["default"].existsSync(configFile)) {
-            return undefined;
-        }
-        var file = JSON.parse(fs__default["default"].readFileSync(configFile, 'utf8'));
-        return file.lastUpdateCheck;
-    }
-    catch (_a) {
-        return undefined;
-    }
-};
-var saveLastUpdate = function (packageName) {
-    var configFile = getConfigFile(packageName);
-    fs__default["default"].writeFileSync(configFile, JSON.stringify({ lastUpdateCheck: new Date().getTime() }));
-};
-
-var getDistVersion = function (packageName, distTag) { return __awaiter(void 0, void 0, void 0, function () {
-    var url;
-    return __generator(this, function (_a) {
-        url = "https://registry.npmjs.org/-/package/".concat(packageName, "/dist-tags");
-        return [2 /*return*/, new Promise(function (resolve, reject) {
-                https__default["default"]
-                    .get(url, function (res) {
-                    var body = '';
-                    res.on('data', function (chunk) { return (body += chunk); });
-                    res.on('end', function () {
-                        try {
-                            var json = JSON.parse(body);
-                            var version = json[distTag];
-                            if (!version) {
-                                reject(new Error('Error getting version'));
-                            }
-                            resolve(version);
-                        }
-                        catch (_a) {
-                            reject(new Error('Could not parse version response'));
-                        }
-                    });
-                })
-                    .on('error', function (err) { return reject(err); });
-            })];
-    });
-}); };
-
-var hasNewVersion = function (_a) {
-    var pkg = _a.pkg, _b = _a.updateCheckInterval, updateCheckInterval = _b === void 0 ? 1000 * 60 * 60 * 24 : _b, _c = _a.distTag, distTag = _c === void 0 ? 'latest' : _c, alwaysRun = _a.alwaysRun, debug = _a.debug;
-    return __awaiter(void 0, void 0, void 0, function () {
-        var lastUpdateCheck, latestVersion;
-        return __generator(this, function (_d) {
-            switch (_d.label) {
-                case 0:
-                    createConfigDir();
-                    lastUpdateCheck = getLastUpdate(pkg.name);
-                    if (!(alwaysRun ||
-                        !lastUpdateCheck ||
-                        lastUpdateCheck < new Date().getTime() - updateCheckInterval)) return [3 /*break*/, 2];
-                    return [4 /*yield*/, getDistVersion(pkg.name, distTag)];
-                case 1:
-                    latestVersion = _d.sent();
-                    saveLastUpdate(pkg.name);
-                    if (semver__default["default"].gt(latestVersion, pkg.version)) {
-                        return [2 /*return*/, latestVersion];
-                    }
-                    else if (debug) {
-                        console.error("Latest version (".concat(latestVersion, ") not newer than current version (").concat(pkg.version, ")"));
-                    }
-                    return [3 /*break*/, 3];
-                case 2:
-                    if (debug) {
-                        console.error("Too recent to check for a new update. simpleUpdateNotifier() interval set to ".concat(updateCheckInterval, "ms but only ").concat(new Date().getTime() - lastUpdateCheck, "ms since last check."));
-                    }
-                    _d.label = 3;
-                case 3: return [2 /*return*/, false];
-            }
-        });
-    });
-};
-
-var borderedText = function (text) {
-    var lines = text.split('\n');
-    var width = Math.max.apply(Math, lines.map(function (l) { return l.length; }));
-    var res = ["\u250C".concat('─'.repeat(width + 2), "\u2510")];
-    for (var _i = 0, lines_1 = lines; _i < lines_1.length; _i++) {
-        var line = lines_1[_i];
-        res.push("\u2502 ".concat(line.padEnd(width), " \u2502"));
-    }
-    res.push("\u2514".concat('─'.repeat(width + 2), "\u2518"));
-    return res.join('\n');
-};
-
-var simpleUpdateNotifier = function (args) { return __awaiter(void 0, void 0, void 0, function () {
-    var latestVersion, err_1;
-    return __generator(this, function (_a) {
-        switch (_a.label) {
-            case 0:
-                if (!args.alwaysRun &&
-                    (!process.stdout.isTTY || (isNpmOrYarn && !args.shouldNotifyInNpmScript))) {
-                    if (args.debug) {
-                        console.error('Opting out of running simpleUpdateNotifier()');
-                    }
-                    return [2 /*return*/];
-                }
-                _a.label = 1;
-            case 1:
-                _a.trys.push([1, 3, , 4]);
-                return [4 /*yield*/, hasNewVersion(args)];
-            case 2:
-                latestVersion = _a.sent();
-                if (latestVersion) {
-                    console.error(borderedText("New version of ".concat(args.pkg.name, " available!\nCurrent Version: ").concat(args.pkg.version, "\nLatest Version: ").concat(latestVersion)));
-                }
-                return [3 /*break*/, 4];
-            case 3:
-                err_1 = _a.sent();
-                // Catch any network errors or cache writing errors so module doesn't cause a crash
-                if (args.debug && err_1 instanceof Error) {
-                    console.error('Unexpected error in simpleUpdateNotifier():', err_1);
-                }
-                return [3 /*break*/, 4];
-            case 4: return [2 /*return*/];
-        }
-    });
-}); };
-
-module.exports = simpleUpdateNotifier;
diff --git a/spaces/zhang-wei-jian/docker/node_modules/simple-update-notifier/node_modules/semver/ranges/valid.js b/spaces/zhang-wei-jian/docker/node_modules/simple-update-notifier/node_modules/semver/ranges/valid.js
deleted file mode 100644
index 365f35689d358b34637f1710b25002c9f7a6feb2..0000000000000000000000000000000000000000
--- a/spaces/zhang-wei-jian/docker/node_modules/simple-update-notifier/node_modules/semver/ranges/valid.js
+++ /dev/null
@@ -1,11 +0,0 @@
-const Range = require('../classes/range')
-const validRange = (range, options) => {
-  try {
-    // Return '*' instead of '' so that truthiness works.
-    // This will throw if it's invalid anyway
-    return new Range(range, options).range || '*'
-  } catch (er) {
-    return null
-  }
-}
-module.exports = validRange
diff --git a/spaces/zhoupin30/zhoupin30/src/app/layout.tsx b/spaces/zhoupin30/zhoupin30/src/app/layout.tsx
deleted file mode 100644
index 8b5122759987177b8dc4e4356d1d06cea25c15ea..0000000000000000000000000000000000000000
--- a/spaces/zhoupin30/zhoupin30/src/app/layout.tsx
+++ /dev/null
@@ -1,47 +0,0 @@
-import { Metadata } from 'next'
-import { Toaster } from 'react-hot-toast'
-import { TailwindIndicator } from '@/components/tailwind-indicator'
-import { Providers } from '@/components/providers'
-import { Header } from '@/components/header'
-
-import '@/app/globals.scss'
-
-
-export const metadata: Metadata = {
-  title: {
-    default: 'Bing AI Chatbot',
-    template: `%s - Bing AI Chatbot`
-  },
-  description: 'Bing AI Chatbot Web App.',
-  themeColor: [
-    { media: '(prefers-color-scheme: light)', color: 'white' },
-    { media: '(prefers-color-scheme: dark)', color: 'dark' }
-  ],
-  icons: {
-    icon: '/favicon.ico',
-    shortcut: '../assets/images/logo.svg',
-    apple: '../assets/images/logo.svg'
-  }
-}
-
-interface RootLayoutProps {
-  children: React.ReactNode
-}
-
-export default function RootLayout({ children }: RootLayoutProps) {
-  return (
-    <html lang="zh-CN" suppressHydrationWarning>
-      <body>
-        <Toaster />
-        <Providers attribute="class" defaultTheme="system" enableSystem>
-          <div className="flex flex-col min-h-screen">
-            {/* @ts-ignore */}
-            <Header />
-            <main className="flex flex-col flex-1">{children}</main>
-          </div>
-          <TailwindIndicator />
-        </Providers>
-      </body>
-    </html>
-  )
-}
diff --git a/spaces/zhuce/vits/attentions.py b/spaces/zhuce/vits/attentions.py
deleted file mode 100644
index 86bc73b5fe98cc7b443e9078553920346c996707..0000000000000000000000000000000000000000
--- a/spaces/zhuce/vits/attentions.py
+++ /dev/null
@@ -1,300 +0,0 @@
-import math
-import torch
-from torch import nn
-from torch.nn import functional as F
-
-import commons
-from modules import LayerNorm
-   
-
-class Encoder(nn.Module):
-  def __init__(self, hidden_channels, filter_channels, n_heads, n_layers, kernel_size=1, p_dropout=0., window_size=4, **kwargs):
-    super().__init__()
-    self.hidden_channels = hidden_channels
-    self.filter_channels = filter_channels
-    self.n_heads = n_heads
-    self.n_layers = n_layers
-    self.kernel_size = kernel_size
-    self.p_dropout = p_dropout
-    self.window_size = window_size
-
-    self.drop = nn.Dropout(p_dropout)
-    self.attn_layers = nn.ModuleList()
-    self.norm_layers_1 = nn.ModuleList()
-    self.ffn_layers = nn.ModuleList()
-    self.norm_layers_2 = nn.ModuleList()
-    for i in range(self.n_layers):
-      self.attn_layers.append(MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout, window_size=window_size))
-      self.norm_layers_1.append(LayerNorm(hidden_channels))
-      self.ffn_layers.append(FFN(hidden_channels, hidden_channels, filter_channels, kernel_size, p_dropout=p_dropout))
-      self.norm_layers_2.append(LayerNorm(hidden_channels))
-
-  def forward(self, x, x_mask):
-    attn_mask = x_mask.unsqueeze(2) * x_mask.unsqueeze(-1)
-    x = x * x_mask
-    for i in range(self.n_layers):
-      y = self.attn_layers[i](x, x, attn_mask)
-      y = self.drop(y)
-      x = self.norm_layers_1[i](x + y)
-
-      y = self.ffn_layers[i](x, x_mask)
-      y = self.drop(y)
-      x = self.norm_layers_2[i](x + y)
-    x = x * x_mask
-    return x
-
-
-class Decoder(nn.Module):
-  def __init__(self, hidden_channels, filter_channels, n_heads, n_layers, kernel_size=1, p_dropout=0., proximal_bias=False, proximal_init=True, **kwargs):
-    super().__init__()
-    self.hidden_channels = hidden_channels
-    self.filter_channels = filter_channels
-    self.n_heads = n_heads
-    self.n_layers = n_layers
-    self.kernel_size = kernel_size
-    self.p_dropout = p_dropout
-    self.proximal_bias = proximal_bias
-    self.proximal_init = proximal_init
-
-    self.drop = nn.Dropout(p_dropout)
-    self.self_attn_layers = nn.ModuleList()
-    self.norm_layers_0 = nn.ModuleList()
-    self.encdec_attn_layers = nn.ModuleList()
-    self.norm_layers_1 = nn.ModuleList()
-    self.ffn_layers = nn.ModuleList()
-    self.norm_layers_2 = nn.ModuleList()
-    for i in range(self.n_layers):
-      self.self_attn_layers.append(MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout, proximal_bias=proximal_bias, proximal_init=proximal_init))
-      self.norm_layers_0.append(LayerNorm(hidden_channels))
-      self.encdec_attn_layers.append(MultiHeadAttention(hidden_channels, hidden_channels, n_heads, p_dropout=p_dropout))
-      self.norm_layers_1.append(LayerNorm(hidden_channels))
-      self.ffn_layers.append(FFN(hidden_channels, hidden_channels, filter_channels, kernel_size, p_dropout=p_dropout, causal=True))
-      self.norm_layers_2.append(LayerNorm(hidden_channels))
-
-  def forward(self, x, x_mask, h, h_mask):
-    """
-    x: decoder input
-    h: encoder output
-    """
-    self_attn_mask = commons.subsequent_mask(x_mask.size(2)).to(device=x.device, dtype=x.dtype)
-    encdec_attn_mask = h_mask.unsqueeze(2) * x_mask.unsqueeze(-1)
-    x = x * x_mask
-    for i in range(self.n_layers):
-      y = self.self_attn_layers[i](x, x, self_attn_mask)
-      y = self.drop(y)
-      x = self.norm_layers_0[i](x + y)
-
-      y = self.encdec_attn_layers[i](x, h, encdec_attn_mask)
-      y = self.drop(y)
-      x = self.norm_layers_1[i](x + y)
-      
-      y = self.ffn_layers[i](x, x_mask)
-      y = self.drop(y)
-      x = self.norm_layers_2[i](x + y)
-    x = x * x_mask
-    return x
-
-
-class MultiHeadAttention(nn.Module):
-  def __init__(self, channels, out_channels, n_heads, p_dropout=0., window_size=None, heads_share=True, block_length=None, proximal_bias=False, proximal_init=False):
-    super().__init__()
-    assert channels % n_heads == 0
-
-    self.channels = channels
-    self.out_channels = out_channels
-    self.n_heads = n_heads
-    self.p_dropout = p_dropout
-    self.window_size = window_size
-    self.heads_share = heads_share
-    self.block_length = block_length
-    self.proximal_bias = proximal_bias
-    self.proximal_init = proximal_init
-    self.attn = None
-
-    self.k_channels = channels // n_heads
-    self.conv_q = nn.Conv1d(channels, channels, 1)
-    self.conv_k = nn.Conv1d(channels, channels, 1)
-    self.conv_v = nn.Conv1d(channels, channels, 1)
-    self.conv_o = nn.Conv1d(channels, out_channels, 1)
-    self.drop = nn.Dropout(p_dropout)
-
-    if window_size is not None:
-      n_heads_rel = 1 if heads_share else n_heads
-      rel_stddev = self.k_channels**-0.5
-      self.emb_rel_k = nn.Parameter(torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) * rel_stddev)
-      self.emb_rel_v = nn.Parameter(torch.randn(n_heads_rel, window_size * 2 + 1, self.k_channels) * rel_stddev)
-
-    nn.init.xavier_uniform_(self.conv_q.weight)
-    nn.init.xavier_uniform_(self.conv_k.weight)
-    nn.init.xavier_uniform_(self.conv_v.weight)
-    if proximal_init:
-      with torch.no_grad():
-        self.conv_k.weight.copy_(self.conv_q.weight)
-        self.conv_k.bias.copy_(self.conv_q.bias)
-      
-  def forward(self, x, c, attn_mask=None):
-    q = self.conv_q(x)
-    k = self.conv_k(c)
-    v = self.conv_v(c)
-    
-    x, self.attn = self.attention(q, k, v, mask=attn_mask)
-
-    x = self.conv_o(x)
-    return x
-
-  def attention(self, query, key, value, mask=None):
-    # reshape [b, d, t] -> [b, n_h, t, d_k]
-    b, d, t_s, t_t = (*key.size(), query.size(2))
-    query = query.view(b, self.n_heads, self.k_channels, t_t).transpose(2, 3)
-    key = key.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3)
-    value = value.view(b, self.n_heads, self.k_channels, t_s).transpose(2, 3)
-
-    scores = torch.matmul(query / math.sqrt(self.k_channels), key.transpose(-2, -1))
-    if self.window_size is not None:
-      assert t_s == t_t, "Relative attention is only available for self-attention."
-      key_relative_embeddings = self._get_relative_embeddings(self.emb_rel_k, t_s)
-      rel_logits = self._matmul_with_relative_keys(query /math.sqrt(self.k_channels), key_relative_embeddings)
-      scores_local = self._relative_position_to_absolute_position(rel_logits)
-      scores = scores + scores_local
-    if self.proximal_bias:
-      assert t_s == t_t, "Proximal bias is only available for self-attention."
-      scores = scores + self._attention_bias_proximal(t_s).to(device=scores.device, dtype=scores.dtype)
-    if mask is not None:
-      scores = scores.masked_fill(mask == 0, -1e4)
-      if self.block_length is not None:
-        assert t_s == t_t, "Local attention is only available for self-attention."
-        block_mask = torch.ones_like(scores).triu(-self.block_length).tril(self.block_length)
-        scores = scores.masked_fill(block_mask == 0, -1e4)
-    p_attn = F.softmax(scores, dim=-1) # [b, n_h, t_t, t_s]
-    p_attn = self.drop(p_attn)
-    output = torch.matmul(p_attn, value)
-    if self.window_size is not None:
-      relative_weights = self._absolute_position_to_relative_position(p_attn)
-      value_relative_embeddings = self._get_relative_embeddings(self.emb_rel_v, t_s)
-      output = output + self._matmul_with_relative_values(relative_weights, value_relative_embeddings)
-    output = output.transpose(2, 3).contiguous().view(b, d, t_t) # [b, n_h, t_t, d_k] -> [b, d, t_t]
-    return output, p_attn
-
-  def _matmul_with_relative_values(self, x, y):
-    """
-    x: [b, h, l, m]
-    y: [h or 1, m, d]
-    ret: [b, h, l, d]
-    """
-    ret = torch.matmul(x, y.unsqueeze(0))
-    return ret
-
-  def _matmul_with_relative_keys(self, x, y):
-    """
-    x: [b, h, l, d]
-    y: [h or 1, m, d]
-    ret: [b, h, l, m]
-    """
-    ret = torch.matmul(x, y.unsqueeze(0).transpose(-2, -1))
-    return ret
-
-  def _get_relative_embeddings(self, relative_embeddings, length):
-    max_relative_position = 2 * self.window_size + 1
-    # Pad first before slice to avoid using cond ops.
-    pad_length = max(length - (self.window_size + 1), 0)
-    slice_start_position = max((self.window_size + 1) - length, 0)
-    slice_end_position = slice_start_position + 2 * length - 1
-    if pad_length > 0:
-      padded_relative_embeddings = F.pad(
-          relative_embeddings,
-          commons.convert_pad_shape([[0, 0], [pad_length, pad_length], [0, 0]]))
-    else:
-      padded_relative_embeddings = relative_embeddings
-    used_relative_embeddings = padded_relative_embeddings[:,slice_start_position:slice_end_position]
-    return used_relative_embeddings
-
-  def _relative_position_to_absolute_position(self, x):
-    """
-    x: [b, h, l, 2*l-1]
-    ret: [b, h, l, l]
-    """
-    batch, heads, length, _ = x.size()
-    # Concat columns of pad to shift from relative to absolute indexing.
-    x = F.pad(x, commons.convert_pad_shape([[0,0],[0,0],[0,0],[0,1]]))
-
-    # Concat extra elements so to add up to shape (len+1, 2*len-1).
-    x_flat = x.view([batch, heads, length * 2 * length])
-    x_flat = F.pad(x_flat, commons.convert_pad_shape([[0,0],[0,0],[0,length-1]]))
-
-    # Reshape and slice out the padded elements.
-    x_final = x_flat.view([batch, heads, length+1, 2*length-1])[:, :, :length, length-1:]
-    return x_final
-
-  def _absolute_position_to_relative_position(self, x):
-    """
-    x: [b, h, l, l]
-    ret: [b, h, l, 2*l-1]
-    """
-    batch, heads, length, _ = x.size()
-    # padd along column
-    x = F.pad(x, commons.convert_pad_shape([[0, 0], [0, 0], [0, 0], [0, length-1]]))
-    x_flat = x.view([batch, heads, length**2 + length*(length -1)])
-    # add 0's in the beginning that will skew the elements after reshape
-    x_flat = F.pad(x_flat, commons.convert_pad_shape([[0, 0], [0, 0], [length, 0]]))
-    x_final = x_flat.view([batch, heads, length, 2*length])[:,:,:,1:]
-    return x_final
-
-  def _attention_bias_proximal(self, length):
-    """Bias for self-attention to encourage attention to close positions.
-    Args:
-      length: an integer scalar.
-    Returns:
-      a Tensor with shape [1, 1, length, length]
-    """
-    r = torch.arange(length, dtype=torch.float32)
-    diff = torch.unsqueeze(r, 0) - torch.unsqueeze(r, 1)
-    return torch.unsqueeze(torch.unsqueeze(-torch.log1p(torch.abs(diff)), 0), 0)
-
-
-class FFN(nn.Module):
-  def __init__(self, in_channels, out_channels, filter_channels, kernel_size, p_dropout=0., activation=None, causal=False):
-    super().__init__()
-    self.in_channels = in_channels
-    self.out_channels = out_channels
-    self.filter_channels = filter_channels
-    self.kernel_size = kernel_size
-    self.p_dropout = p_dropout
-    self.activation = activation
-    self.causal = causal
-
-    if causal:
-      self.padding = self._causal_padding
-    else:
-      self.padding = self._same_padding
-
-    self.conv_1 = nn.Conv1d(in_channels, filter_channels, kernel_size)
-    self.conv_2 = nn.Conv1d(filter_channels, out_channels, kernel_size)
-    self.drop = nn.Dropout(p_dropout)
-
-  def forward(self, x, x_mask):
-    x = self.conv_1(self.padding(x * x_mask))
-    if self.activation == "gelu":
-      x = x * torch.sigmoid(1.702 * x)
-    else:
-      x = torch.relu(x)
-    x = self.drop(x)
-    x = self.conv_2(self.padding(x * x_mask))
-    return x * x_mask
-  
-  def _causal_padding(self, x):
-    if self.kernel_size == 1:
-      return x
-    pad_l = self.kernel_size - 1
-    pad_r = 0
-    padding = [[0, 0], [0, 0], [pad_l, pad_r]]
-    x = F.pad(x, commons.convert_pad_shape(padding))
-    return x
-
-  def _same_padding(self, x):
-    if self.kernel_size == 1:
-      return x
-    pad_l = (self.kernel_size - 1) // 2
-    pad_r = self.kernel_size // 2
-    padding = [[0, 0], [0, 0], [pad_l, pad_r]]
-    x = F.pad(x, commons.convert_pad_shape(padding))
-    return x
diff --git a/spaces/zhuce/vits/text/cleaners.py b/spaces/zhuce/vits/text/cleaners.py
deleted file mode 100644
index d26581deb399609163518054718ad80ecca5d934..0000000000000000000000000000000000000000
--- a/spaces/zhuce/vits/text/cleaners.py
+++ /dev/null
@@ -1,475 +0,0 @@
-""" from https://github.com/keithito/tacotron """
-
-'''
-Cleaners are transformations that run over the input text at both training and eval time.
-
-Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners"
-hyperparameter. Some cleaners are English-specific. You'll typically want to use:
-  1. "english_cleaners" for English text
-  2. "transliteration_cleaners" for non-English text that can be transliterated to ASCII using
-     the Unidecode library (https://pypi.python.org/pypi/Unidecode)
-  3. "basic_cleaners" if you do not want to transliterate (in this case, you should also update
-     the symbols in symbols.py to match your data).
-'''
-
-import re
-from unidecode import unidecode
-import pyopenjtalk
-from jamo import h2j, j2hcj
-from pypinyin import lazy_pinyin, BOPOMOFO
-import jieba, cn2an
-
-
-# This is a list of Korean classifiers preceded by pure Korean numerals.
-_korean_classifiers = '군데 권 개 그루 닢 대 두 마리 모 모금 뭇 발 발짝 방 번 벌 보루 살 수 술 시 쌈 움큼 정 짝 채 척 첩 축 켤레 톨 통'
-
-# Regular expression matching whitespace:
-_whitespace_re = re.compile(r'\s+')
-
-# Regular expression matching Japanese without punctuation marks:
-_japanese_characters = re.compile(r'[A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')
-
-# Regular expression matching non-Japanese characters or punctuation marks:
-_japanese_marks = re.compile(r'[^A-Za-z\d\u3005\u3040-\u30ff\u4e00-\u9fff\uff11-\uff19\uff21-\uff3a\uff41-\uff5a\uff66-\uff9d]')
-
-# List of (regular expression, replacement) pairs for abbreviations:
-_abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in [
-  ('mrs', 'misess'),
-  ('mr', 'mister'),
-  ('dr', 'doctor'),
-  ('st', 'saint'),
-  ('co', 'company'),
-  ('jr', 'junior'),
-  ('maj', 'major'),
-  ('gen', 'general'),
-  ('drs', 'doctors'),
-  ('rev', 'reverend'),
-  ('lt', 'lieutenant'),
-  ('hon', 'honorable'),
-  ('sgt', 'sergeant'),
-  ('capt', 'captain'),
-  ('esq', 'esquire'),
-  ('ltd', 'limited'),
-  ('col', 'colonel'),
-  ('ft', 'fort'),
-]]
-
-# List of (hangul, hangul divided) pairs:
-_hangul_divided = [(re.compile('%s' % x[0]), x[1]) for x in [
-  ('ㄳ', 'ㄱㅅ'),
-  ('ㄵ', 'ㄴㅈ'),
-  ('ㄶ', 'ㄴㅎ'),
-  ('ㄺ', 'ㄹㄱ'),
-  ('ㄻ', 'ㄹㅁ'),
-  ('ㄼ', 'ㄹㅂ'),
-  ('ㄽ', 'ㄹㅅ'),
-  ('ㄾ', 'ㄹㅌ'),
-  ('ㄿ', 'ㄹㅍ'),
-  ('ㅀ', 'ㄹㅎ'),
-  ('ㅄ', 'ㅂㅅ'),
-  ('ㅘ', 'ㅗㅏ'),
-  ('ㅙ', 'ㅗㅐ'),
-  ('ㅚ', 'ㅗㅣ'),
-  ('ㅝ', 'ㅜㅓ'),
-  ('ㅞ', 'ㅜㅔ'),
-  ('ㅟ', 'ㅜㅣ'),
-  ('ㅢ', 'ㅡㅣ'),
-  ('ㅑ', 'ㅣㅏ'),
-  ('ㅒ', 'ㅣㅐ'),
-  ('ㅕ', 'ㅣㅓ'),
-  ('ㅖ', 'ㅣㅔ'),
-  ('ㅛ', 'ㅣㅗ'),
-  ('ㅠ', 'ㅣㅜ')
-]]
-
-# List of (Latin alphabet, hangul) pairs:
-_latin_to_hangul = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
-  ('a', '에이'),
-  ('b', '비'),
-  ('c', '시'),
-  ('d', '디'),
-  ('e', '이'),
-  ('f', '에프'),
-  ('g', '지'),
-  ('h', '에이치'),
-  ('i', '아이'),
-  ('j', '제이'),
-  ('k', '케이'),
-  ('l', '엘'),
-  ('m', '엠'),
-  ('n', '엔'),
-  ('o', '오'),
-  ('p', '피'),
-  ('q', '큐'),
-  ('r', '아르'),
-  ('s', '에스'),
-  ('t', '티'),
-  ('u', '유'),
-  ('v', '브이'),
-  ('w', '더블유'),
-  ('x', '엑스'),
-  ('y', '와이'),
-  ('z', '제트')
-]]
-
-# List of (Latin alphabet, bopomofo) pairs:
-_latin_to_bopomofo = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
-  ('a', 'ㄟˉ'),
-  ('b', 'ㄅㄧˋ'),
-  ('c', 'ㄙㄧˉ'),
-  ('d', 'ㄉㄧˋ'),
-  ('e', 'ㄧˋ'),
-  ('f', 'ㄝˊㄈㄨˋ'),
-  ('g', 'ㄐㄧˋ'),
-  ('h', 'ㄝˇㄑㄩˋ'),
-  ('i', 'ㄞˋ'),
-  ('j', 'ㄐㄟˋ'),
-  ('k', 'ㄎㄟˋ'),
-  ('l', 'ㄝˊㄛˋ'),
-  ('m', 'ㄝˊㄇㄨˋ'),
-  ('n', 'ㄣˉ'),
-  ('o', 'ㄡˉ'),
-  ('p', 'ㄆㄧˉ'),
-  ('q', 'ㄎㄧㄡˉ'),
-  ('r', 'ㄚˋ'),
-  ('s', 'ㄝˊㄙˋ'),
-  ('t', 'ㄊㄧˋ'),
-  ('u', 'ㄧㄡˉ'),
-  ('v', 'ㄨㄧˉ'),
-  ('w', 'ㄉㄚˋㄅㄨˋㄌㄧㄡˋ'),
-  ('x', 'ㄝˉㄎㄨˋㄙˋ'),
-  ('y', 'ㄨㄞˋ'),
-  ('z', 'ㄗㄟˋ')
-]]
-
-
-# List of (bopomofo, romaji) pairs:
-_bopomofo_to_romaji = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
-  ('ㄅㄛ', 'p⁼wo'),
-  ('ㄆㄛ', 'pʰwo'),
-  ('ㄇㄛ', 'mwo'),
-  ('ㄈㄛ', 'fwo'),
-  ('ㄅ', 'p⁼'),
-  ('ㄆ', 'pʰ'),
-  ('ㄇ', 'm'),
-  ('ㄈ', 'f'),
-  ('ㄉ', 't⁼'),
-  ('ㄊ', 'tʰ'),
-  ('ㄋ', 'n'),
-  ('ㄌ', 'l'),
-  ('ㄍ', 'k⁼'),
-  ('ㄎ', 'kʰ'),
-  ('ㄏ', 'h'),
-  ('ㄐ', 'ʧ⁼'),
-  ('ㄑ', 'ʧʰ'),
-  ('ㄒ', 'ʃ'),
-  ('ㄓ', 'ʦ`⁼'),
-  ('ㄔ', 'ʦ`ʰ'),
-  ('ㄕ', 's`'),
-  ('ㄖ', 'ɹ`'),
-  ('ㄗ', 'ʦ⁼'),
-  ('ㄘ', 'ʦʰ'),
-  ('ㄙ', 's'),
-  ('ㄚ', 'a'),
-  ('ㄛ', 'o'),
-  ('ㄜ', 'ə'),
-  ('ㄝ', 'e'),
-  ('ㄞ', 'ai'),
-  ('ㄟ', 'ei'),
-  ('ㄠ', 'au'),
-  ('ㄡ', 'ou'),
-  ('ㄧㄢ', 'yeNN'),
-  ('ㄢ', 'aNN'),
-  ('ㄧㄣ', 'iNN'),
-  ('ㄣ', 'əNN'),
-  ('ㄤ', 'aNg'),
-  ('ㄧㄥ', 'iNg'),
-  ('ㄨㄥ', 'uNg'),
-  ('ㄩㄥ', 'yuNg'),
-  ('ㄥ', 'əNg'),
-  ('ㄦ', 'əɻ'),
-  ('ㄧ', 'i'),
-  ('ㄨ', 'u'),
-  ('ㄩ', 'ɥ'),
-  ('ˉ', '→'),
-  ('ˊ', '↑'),
-  ('ˇ', '↓↑'),
-  ('ˋ', '↓'),
-  ('˙', ''),
-  ('，', ','),
-  ('。', '.'),
-  ('！', '!'),
-  ('？', '?'),
-  ('—', '-')
-]]
-
-
-def expand_abbreviations(text):
-  for regex, replacement in _abbreviations:
-    text = re.sub(regex, replacement, text)
-  return text
-
-
-def lowercase(text):
-  return text.lower()
-
-
-def collapse_whitespace(text):
-  return re.sub(_whitespace_re, ' ', text)
-
-
-def convert_to_ascii(text):
-  return unidecode(text)
-
-
-def japanese_to_romaji_with_accent(text):
-  '''Reference https://r9y9.github.io/ttslearn/latest/notebooks/ch10_Recipe-Tacotron.html'''
-  sentences = re.split(_japanese_marks, text)
-  marks = re.findall(_japanese_marks, text)
-  text = ''
-  for i, sentence in enumerate(sentences):
-    if re.match(_japanese_characters, sentence):
-      if text!='':
-        text+=' '
-      labels = pyopenjtalk.extract_fullcontext(sentence)
-      for n, label in enumerate(labels):
-        phoneme = re.search(r'\-([^\+]*)\+', label).group(1)
-        if phoneme not in ['sil','pau']:
-          text += phoneme.replace('ch','ʧ').replace('sh','ʃ').replace('cl','Q')
-        else:
-          continue
-        n_moras = int(re.search(r'/F:(\d+)_', label).group(1))
-        a1 = int(re.search(r"/A:(\-?[0-9]+)\+", label).group(1))
-        a2 = int(re.search(r"\+(\d+)\+", label).group(1))
-        a3 = int(re.search(r"\+(\d+)/", label).group(1))
-        if re.search(r'\-([^\+]*)\+', labels[n + 1]).group(1) in ['sil','pau']:
-          a2_next=-1
-        else:
-          a2_next = int(re.search(r"\+(\d+)\+", labels[n + 1]).group(1))
-        # Accent phrase boundary
-        if a3 == 1 and a2_next == 1:
-          text += ' '
-        # Falling
-        elif a1 == 0 and a2_next == a2 + 1 and a2 != n_moras:
-          text += '↓'
-        # Rising
-        elif a2 == 1 and a2_next == 2:
-          text += '↑'
-    if i<len(marks):
-      text += unidecode(marks[i]).replace(' ','')
-  return text
-
-
-def latin_to_hangul(text):
-  for regex, replacement in _latin_to_hangul:
-    text = re.sub(regex, replacement, text)
-  return text
-
-
-def divide_hangul(text):
-  for regex, replacement in _hangul_divided:
-    text = re.sub(regex, replacement, text)
-  return text
-
-
-def hangul_number(num, sino=True):
-  '''Reference https://github.com/Kyubyong/g2pK'''
-  num = re.sub(',', '', num)
-
-  if num == '0':
-      return '영'
-  if not sino and num == '20':
-      return '스무'
-
-  digits = '123456789'
-  names = '일이삼사오육칠팔구'
-  digit2name = {d: n for d, n in zip(digits, names)}
-  
-  modifiers = '한 두 세 네 다섯 여섯 일곱 여덟 아홉'
-  decimals = '열 스물 서른 마흔 쉰 예순 일흔 여든 아흔'
-  digit2mod = {d: mod for d, mod in zip(digits, modifiers.split())}
-  digit2dec = {d: dec for d, dec in zip(digits, decimals.split())}
-
-  spelledout = []
-  for i, digit in enumerate(num):
-    i = len(num) - i - 1
-    if sino:
-      if i == 0:
-        name = digit2name.get(digit, '')
-      elif i == 1:
-        name = digit2name.get(digit, '') + '십'
-        name = name.replace('일십', '십')
-    else:
-      if i == 0:
-        name = digit2mod.get(digit, '')
-      elif i == 1:
-        name = digit2dec.get(digit, '')
-    if digit == '0':
-      if i % 4 == 0:
-        last_three = spelledout[-min(3, len(spelledout)):]
-        if ''.join(last_three) == '':
-          spelledout.append('')
-          continue
-      else:
-        spelledout.append('')
-        continue
-    if i == 2:
-      name = digit2name.get(digit, '') + '백'
-      name = name.replace('일백', '백')
-    elif i == 3:
-      name = digit2name.get(digit, '') + '천'
-      name = name.replace('일천', '천')
-    elif i == 4:
-      name = digit2name.get(digit, '') + '만'
-      name = name.replace('일만', '만')
-    elif i == 5:
-      name = digit2name.get(digit, '') + '십'
-      name = name.replace('일십', '십')
-    elif i == 6:
-      name = digit2name.get(digit, '') + '백'
-      name = name.replace('일백', '백')
-    elif i == 7:
-      name = digit2name.get(digit, '') + '천'
-      name = name.replace('일천', '천')
-    elif i == 8:
-      name = digit2name.get(digit, '') + '억'
-    elif i == 9:
-      name = digit2name.get(digit, '') + '십'
-    elif i == 10:
-      name = digit2name.get(digit, '') + '백'
-    elif i == 11:
-      name = digit2name.get(digit, '') + '천'
-    elif i == 12:
-      name = digit2name.get(digit, '') + '조'
-    elif i == 13:
-      name = digit2name.get(digit, '') + '십'
-    elif i == 14:
-      name = digit2name.get(digit, '') + '백'
-    elif i == 15:
-      name = digit2name.get(digit, '') + '천'
-    spelledout.append(name)
-  return ''.join(elem for elem in spelledout)
-
-
-def number_to_hangul(text):
-  '''Reference https://github.com/Kyubyong/g2pK'''
-  tokens = set(re.findall(r'(\d[\d,]*)([\uac00-\ud71f]+)', text))
-  for token in tokens:
-    num, classifier = token
-    if classifier[:2] in _korean_classifiers or classifier[0] in _korean_classifiers:
-      spelledout = hangul_number(num, sino=False)
-    else:
-      spelledout = hangul_number(num, sino=True)
-    text = text.replace(f'{num}{classifier}', f'{spelledout}{classifier}')
-  # digit by digit for remaining digits
-  digits = '0123456789'
-  names = '영일이삼사오육칠팔구'
-  for d, n in zip(digits, names):
-    text = text.replace(d, n)
-  return text
-
-
-def number_to_chinese(text):
-  numbers = re.findall(r'\d+(?:\.?\d+)?', text)
-  for number in numbers:
-    text = text.replace(number, cn2an.an2cn(number),1)
-  return text
-
-
-def chinese_to_bopomofo(text):
-  text=text.replace('、','，').replace('；','，').replace('：','，')
-  words=jieba.lcut(text,cut_all=False)
-  text=''
-  for word in words:
-    bopomofos=lazy_pinyin(word,BOPOMOFO)
-    if not re.search('[\u4e00-\u9fff]',word):
-      text+=word
-      continue
-    for i in range(len(bopomofos)):
-      if re.match('[\u3105-\u3129]',bopomofos[i][-1]):
-        bopomofos[i]+='ˉ'
-    if text!='':
-      text+=' '
-    text+=''.join(bopomofos)
-  return text
-
-
-def latin_to_bopomofo(text):
-  for regex, replacement in _latin_to_bopomofo:
-    text = re.sub(regex, replacement, text)
-  return text
-
-
-def bopomofo_to_romaji(text):
-  for regex, replacement in _bopomofo_to_romaji:
-    text = re.sub(regex, replacement, text)
-  return text
-
-
-def basic_cleaners(text):
-  '''Basic pipeline that lowercases and collapses whitespace without transliteration.'''
-  text = lowercase(text)
-  text = collapse_whitespace(text)
-  return text
-
-
-def transliteration_cleaners(text):
-  '''Pipeline for non-English text that transliterates to ASCII.'''
-  text = convert_to_ascii(text)
-  text = lowercase(text)
-  text = collapse_whitespace(text)
-  return text
-
-
-def japanese_cleaners(text):
-  text=japanese_to_romaji_with_accent(text)
-  if re.match('[A-Za-z]',text[-1]):
-    text += '.'
-  return text
-
-
-def japanese_cleaners2(text):
-  return japanese_cleaners(text).replace('ts','ʦ').replace('...','…')
-
-
-def korean_cleaners(text):
-  '''Pipeline for Korean text'''
-  text = latin_to_hangul(text)
-  text = number_to_hangul(text)
-  text = j2hcj(h2j(text))
-  text = divide_hangul(text)
-  if re.match('[\u3131-\u3163]',text[-1]):
-    text += '.'
-  return text
-
-
-def chinese_cleaners(text):
-  '''Pipeline for Chinese text'''
-  text=number_to_chinese(text)
-  text=chinese_to_bopomofo(text)
-  text=latin_to_bopomofo(text)
-  if re.match('[ˉˊˇˋ˙]',text[-1]):
-    text += '。'
-  return text
-
-
-def zh_ja_mixture_cleaners(text):
-  chinese_texts=re.findall(r'\[ZH\].*?\[ZH\]',text)
-  japanese_texts=re.findall(r'\[JA\].*?\[JA\]',text)
-  for chinese_text in chinese_texts:
-    cleaned_text=number_to_chinese(chinese_text[4:-4])
-    cleaned_text=chinese_to_bopomofo(cleaned_text)
-    cleaned_text=latin_to_bopomofo(cleaned_text)
-    cleaned_text=bopomofo_to_romaji(cleaned_text)
-    cleaned_text=re.sub('i[aoe]',lambda x:'y'+x.group(0)[1:],cleaned_text)
-    cleaned_text=re.sub('u[aoəe]',lambda x:'w'+x.group(0)[1:],cleaned_text)
-    cleaned_text=re.sub('([ʦsɹ]`[⁼ʰ]?)([→↓↑]+)',lambda x:x.group(1)+'ɹ`'+x.group(2),cleaned_text).replace('ɻ','ɹ`')
-    cleaned_text=re.sub('([ʦs][⁼ʰ]?)([→↓↑]+)',lambda x:x.group(1)+'ɹ'+x.group(2),cleaned_text)
-    text = text.replace(chinese_text,cleaned_text+' ',1)
-  for japanese_text in japanese_texts:
-    cleaned_text=japanese_to_romaji_with_accent(japanese_text[4:-4]).replace('ts','ʦ').replace('u','ɯ').replace('...','…')
-    text = text.replace(japanese_text,cleaned_text+' ',1)
-  text=text[:-1]
-  if re.match('[A-Za-zɯɹəɥ→↓↑]',text[-1]):
-    text += '.'
-  return text
\ No newline at end of file
diff --git a/spaces/zixian/Zhenhuan-VITS/text/thai.py b/spaces/zixian/Zhenhuan-VITS/text/thai.py
deleted file mode 100644
index 998207c01a85c710a46db1ec8b62c39c2d94bc84..0000000000000000000000000000000000000000
--- a/spaces/zixian/Zhenhuan-VITS/text/thai.py
+++ /dev/null
@@ -1,44 +0,0 @@
-import re
-from num_thai.thainumbers import NumThai
-
-
-num = NumThai()
-
-# List of (Latin alphabet, Thai) pairs:
-_latin_to_thai = [(re.compile('%s' % x[0], re.IGNORECASE), x[1]) for x in [
-    ('a', 'เอ'),
-    ('b','บี'),
-    ('c','ซี'),
-    ('d','ดี'),
-    ('e','อี'),
-    ('f','เอฟ'),
-    ('g','จี'),
-    ('h','เอช'),
-    ('i','ไอ'),
-    ('j','เจ'),
-    ('k','เค'),
-    ('l','แอล'),
-    ('m','เอ็ม'),
-    ('n','เอ็น'),
-    ('o','โอ'),
-    ('p','พี'),
-    ('q','คิว'),
-    ('r','แอร์'),
-    ('s','เอส'),
-    ('t','ที'),
-    ('u','ยู'),
-    ('v','วี'),
-    ('w','ดับเบิลยู'),
-    ('x','เอ็กซ์'),
-    ('y','วาย'),
-    ('z','ซี')
-]]
-
-
-def num_to_thai(text):
-    return re.sub(r'(?:\d+(?:,?\d+)?)+(?:\.\d+(?:,?\d+)?)?', lambda x: ''.join(num.NumberToTextThai(float(x.group(0).replace(',', '')))), text)
-
-def latin_to_thai(text):
-    for regex, replacement in _latin_to_thai:
-        text = re.sub(regex, replacement, text)
-    return text
diff --git a/spaces/zlc99/M4Singer/modules/parallel_wavegan/optimizers/__init__.py b/spaces/zlc99/M4Singer/modules/parallel_wavegan/optimizers/__init__.py
deleted file mode 100644
index a0e0c5932838281e912079e5784d84d43444a61a..0000000000000000000000000000000000000000
--- a/spaces/zlc99/M4Singer/modules/parallel_wavegan/optimizers/__init__.py
+++ /dev/null
@@ -1,2 +0,0 @@
-from torch.optim import *  # NOQA
-from .radam import *  # NOQA